From 4206ff4dff26c99856227ae20534549a5028bedd Mon Sep 17 00:00:00 2001 From: Igor Lima Date: Wed, 2 Oct 2024 16:14:01 +0900 Subject: [PATCH] refactor: removed _build from tracking and modified requirements --- .gitignore | 2 +- _build/.doctrees/README.doctree | Bin 13108 -> 0 bytes .../.doctrees/analog-digital-domains.doctree | Bin 73444 -> 0 bytes .../common-signals-engineering.doctree | Bin 73575 -> 0 bytes .../.doctrees/discrete-continous-dsp.doctree | Bin 11601 -> 0 bytes _build/.doctrees/environment.pickle | Bin 131804 -> 0 bytes _build/.doctrees/even-odd-signal.doctree | Bin 24217 -> 0 bytes _build/.doctrees/intro-dsp.doctree | Bin 17006 -> 0 bytes _build/.doctrees/intro.doctree | Bin 12473 -> 0 bytes _build/.doctrees/markdown-notebooks.doctree | Bin 9915 -> 0 bytes _build/.doctrees/markdown.doctree | Bin 12883 -> 0 bytes _build/.doctrees/notebooks.doctree | Bin 11484 -> 0 bytes _build/.doctrees/signals.doctree | Bin 49430 -> 0 bytes .../.doctrees/transformations-signals.doctree 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When it is not found, a full rebuild will be done. -config: 7c5f8a5b36a9e0aeae339bdd5cc131fd -tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/_build/html/README.html b/_build/html/README.html deleted file mode 100644 index 2144a3d..0000000 --- a/_build/html/README.html +++ /dev/null @@ -1,557 +0,0 @@ - - - - - - - - - - - A Not-Too-Short, Not-Quite-Long Summary of Signal Processing — A Not-Too-Short, Not-Quite-Long Summary of Signal Processing - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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A Not-Too-Short, Not-Quite-Long Summary of Signal Processing

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A Not-Too-Short, Not-Quite-Long Summary of Signal Processing#

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Author: Igor L.R. Azevedo - The University of Tokyo & University of Brasilia

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Email: igorlima1740@gmail.com

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GitHub: igor17400/dsp-174

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WHAT TO EXPECT:#

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This work aims to provide a summary of signal processing that achieves a balance, as indicated by the title—not overly concise yet not as exhaustive as a comprehensive textbook. My intention was to explore essential content with more depth than a typical summary offers, yet not as extensively as a canonical textbook. At the same time, the idea is to combine several high-quality tutorials available online, which might be helpful in understanding and gaining a clear vision of signal processing. While this isn’t just a collection of equations, it also isn’t a book or paper that aims to make a significant contribution. Ultimately, my goal is to present a practical approach to signal processing that may be useful for those trying to better understand this subject. In any case, I hope this proves helpful to someone beyond myself. If you’ve read this far, thank you, and stay safe!

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Getting Started#

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To use this summary just access the following link: igor17400/dsp-174.git

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Topics Covered#

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This summary includes, but is not limited to, the following signal processing topics:

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  • Fourier Transform and its applications

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  • Digital filters (FIR and IIR)

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  • Sampling and quantization

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  • Discrete-time signals and systems

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  • Signal modulation techniques

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Contributing#

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Contributions to improve this summary are welcome! If you’d like to contribute:

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  1. Fork the repository

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  2. Create a new branch (git checkout -b feature/your-feature-name)

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  3. Make your changes

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  4. Commit your changes (git commit -am 'Add some feature')

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  5. Push to the branch (git push origin feature/your-feature-name)

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License#

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This project is licensed under the MIT License - see the LICENSE file for details.

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I hope this proves to be helpful to someone other than just me!

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✧âºâ¸œ(^-^)â¸âºâœ§

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Azevedo - The University of Tokyo & University of Brasilia - -**Email**: igorlima1740@gmail.com - -**GitHub**: igor17400/dsp-174 - -## WHAT TO EXPECT: - -This work aims to provide a summary of signal processing that achieves a balance, as indicated by the title—not overly concise yet not as exhaustive as a comprehensive textbook. My intention was to explore essential content with more depth than a typical summary offers, yet not as extensively as a canonical textbook. At the same time, the idea is to combine several high-quality tutorials available online, which might be helpful in understanding and gaining a clear vision of signal processing. While this isn’t just a collection of equations, it also isn’t a book or paper that aims to make a significant contribution. Ultimately, my goal is to present a practical approach to signal processing that may be useful for those trying to better understand this subject. In any case, I hope this proves helpful to someone beyond myself. If you’ve read this far, thank you, and stay safe! - -## Getting Started - -To use this summary just access the following link: https://github.com/igor17400/dsp-174.git - -## Topics Covered - -This summary includes, but is not limited to, the following signal processing topics: - -- Fourier Transform and its applications -- Digital filters (FIR and IIR) -- Sampling and quantization -- Discrete-time signals and systems -- Frequency analysis -- Signal modulation techniques - -## Contributing - -Contributions to improve this summary are welcome! If you'd like to contribute: - -1. Fork the repository -2. Create a new branch (`git checkout -b feature/your-feature-name`) -3. Make your changes -4. Commit your changes (`git commit -am 'Add some feature'`) -5. Push to the branch (`git push origin feature/your-feature-name`) -6. Create a new Pull Request - -## License - -This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. - ---- - -I hope this proves to be helpful to someone other than just me! - -`✧âºâ¸œ(^-^)â¸âºâœ§` \ No newline at end of file diff --git a/_build/html/_sources/analog-digital-domains.ipynb b/_build/html/_sources/analog-digital-domains.ipynb deleted file mode 100644 index 12319d4..0000000 --- a/_build/html/_sources/analog-digital-domains.ipynb +++ /dev/null @@ -1,542 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Analog and Digital Domains\n", - "\n", - "A device that converts an analog signal into a digital one is aptly named an analog-to-digital converter (A/D). We can think of the A/D as being composed of two quantizers:\n", - "- **Sampler**: Samples the signal at specific intervals.\n", - "- **Digitizer**: Converts the sampled signal values into discrete digital values.\n", - "\n", - "Converting a continuous varying function into a discrete time sequence requires sampling the function at specific time instances. This may lead to a loss of information since many different continuous functions can correspond to the same sequence, but under certain conditions, there is no such loss.\n", - "\n", - "## Sampling Theorem\n", - "\n", - "The sampling theorem states that a continuous signal can be completely represented in its samples and fully reconstructed if it has been sampled at a rate greater than twice its highest frequency component. This is known as the Nyquist rate.\n", - "\n", - "````{prf:theorem}\n", - ":label: sampling-theorem\n", - "\n", - "If a signal $x(t)$ contains no frequencies higher than $B$ Hz, it can be completely determined by its samples taken at a rate $f_s > 2B$ samples per second. The minimum sampling rate $f_s = 2B$ is called the **Nyquist rate**.\n", - "\n", - "Mathematically, if $X(f) = 0$ for $|f| > B$, then $x(t)$ can be reconstructed from its samples $x[n] = x(nT_s)$, where $T_s = 1/f_s$, using the formula:\n", - "\n", - "```{math}\n", - "x(t) = \\sum_{n=-\\infty}^{\\infty} x[n] \\cdot \\text{sinc}\\left(\\frac{t - nT_s}{T_s}\\right)\n", - "```\n", - "\n", - "where $\\text{sinc}(x) = \\frac{\\sin(\\pi x)}{\\pi x}$.\n", - "````\n", - "\n", - "\n", - "> $\\textcolor{#FFC0D9}{\\Longrightarrow}$ If this theorem is not clear to you right now, don't worry too much. We'll explore other concepts that will help you understand it better. For now, imagine you want to create a smooth animation of a moving car. To do this, you need to take several pictures at a specific rate to capture the car's motion accurately. This theorem states the minimum rate at which you need to take these pictures to avoid blurring or losing information about the car's movement. Essentially, it defines the minimum sampling rate required to capture all the details of a signal without losing any information. For a more detailed explanation, please refer to this [video](https://www.youtube.com/watch?v=Jv5FU8oUWEY) ." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### *Example*: Sampling a 5 Hz Sine Wave\n", - "\n", - "For this example, we want to demonstrate the importance of proper sampling by using a 5 Hz sine wave, $\\sin(2\\pi \\cdot 5t)$. We'll sample this sine wave using three different sampling frequencies: one correct, one incorrect, and one with an oversampling rate.\n", - "\n", - "1. **Correct Sampling**: According to the Nyquist theorem, the sampling frequency should be at least twice the maximum frequency of the signal to avoid aliasing. Since our signal has a frequency of 5 Hz, the minimum sampling frequency should be 10 Hz. We'll use a sampling frequency of 15 Hz to ensure we sample correctly.\n", - "\n", - "2. **Incorrect Sampling**: To show the effects of undersampling, we'll use a sampling frequency of 5 Hz, which is below the Nyquist rate. This will result in aliasing, where different continuous signals become indistinguishable when sampled.\n", - "\n", - "3. **Oversampling**: To show the effects of oversampling, we'll use a sampling frequency of 30 Hz, which is well above the Nyquist rate. This will result in a highly accurate representation of the signal with more samples than necessary.\n", - "\n", - "The following plots illustrate the results of these sampling processes. The first plot shows the continuous 5 Hz sine wave and its samples taken at the correct sampling frequency of 15 Hz. The second plot shows the same continuous sine wave and its samples taken at the incorrect sampling frequency of 5 Hz. The third plot shows the continuous sine wave and its samples taken at an oversampling frequency of 30 Hz.\n", - "\n", - "In these plots:\n", - "- **Correct Sampling**: The first subplot shows the continuous 5 Hz sine wave and its samples taken at 15 Hz. The sampled points align well with the original sine wave, demonstrating accurate sampling.\n", - "- **Incorrect Sampling**: The second subplot shows the same continuous sine wave and its samples taken at 5 Hz. The sampled points do not align well with the original sine wave, demonstrating the effect of aliasing due to undersampling.\n", - "- **Oversampling**: The third subplot shows the continuous 5 Hz sine wave and its samples taken at 30 Hz. The sampled points align very well with the original sine wave, demonstrating that oversampling can provide a highly accurate representation of the signal.\n", - "\n", - "\n", - "In the code shown below:\n", - "- The first subplot shows the continuous 5 Hz sine wave and its samples taken at the correct sampling frequency of 15 Hz.\n", - "- The second subplot shows the same continuous sine wave and its samples taken at the incorrect sampling frequency of 5 Hz.\n", - "- The third subplot shows the continuous sine wave and its samples taken at an oversampling frequency of 30 Hz.\n", - "\n", - "This demonstrates the importance of sampling at the Nyquist rate or higher to accurately capture and reconstruct the original signal, and also shows that oversampling can provide a highly accurate representation of the signal." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Define the continuous signal\n", - "def continuous_signal(t):\n", - " return np.sin(2 * np.pi * 5 * t) # 5 Hz sine wave\n", - "\n", - "# Sampling parameters for correct sampling (Nyquist rate)\n", - "fs_correct = 15 # Sampling frequency (Hz)\n", - "T_s_correct = 1 / fs_correct # Sampling period\n", - "\n", - "# Sampling parameters for incorrect sampling (below Nyquist rate)\n", - "fs_incorrect = 5 # Sampling frequency (Hz)\n", - "T_s_incorrect = 1 / fs_incorrect # Sampling period\n", - "\n", - "# Sampling parameters for oversampling (above Nyquist rate)\n", - "fs_oversample = 30 # Sampling frequency (Hz)\n", - "T_s_oversample = 1 / fs_oversample # Sampling period\n", - "\n", - "# Generate time vectors\n", - "t_continuous = np.linspace(0, 1, 1000)\n", - "t_sampled_correct = np.arange(0, 1, T_s_correct)\n", - "t_sampled_incorrect = np.arange(0, 1, T_s_incorrect)\n", - "t_sampled_oversample = np.arange(0, 1, T_s_oversample)\n", - "\n", - "# Generate signal values\n", - "y_continuous = continuous_signal(t_continuous)\n", - "y_sampled_correct = continuous_signal(t_sampled_correct)\n", - "y_sampled_incorrect = continuous_signal(t_sampled_incorrect)\n", - "y_sampled_oversample = continuous_signal(t_sampled_oversample)\n", - "\n", - "# Create subplots for steps\n", - "fig, axes = plt.subplots(3, 8, figsize=(20, 10), sharey=True)\n", - "\n", - "# Plotting steps for correct sampling\n", - "for i in range(8):\n", - " axes[0, i].plot(t_continuous, y_continuous, label='Continuous Signal')\n", - " axes[0, i].stem(t_sampled_correct[:i+1], y_sampled_correct[:i+1], 'r', markerfmt='ro', basefmt=\" \", label='Sampled Signal')\n", - " axes[0, i].set_xlim(0, 1)\n", - " axes[0, i].set_ylim(-1.5, 1.5)\n", - " if i == 0:\n", - " axes[0, i].set_ylabel('Correct Sampling')\n", - " axes[0, i].set_xlabel('Time [s]')\n", - " axes[0, i].set_title(f'Step {i+1}')\n", - " axes[0, i].grid(True)\n", - "\n", - "# Plotting steps for incorrect sampling\n", - "for i in range(8):\n", - " axes[1, i].plot(t_continuous, y_continuous, label='Continuous Signal')\n", - " axes[1, i].stem(t_sampled_incorrect[:i+1], y_sampled_incorrect[:i+1], 'r', markerfmt='ro', basefmt=\" \", label='Sampled Signal')\n", - " axes[1, i].set_xlim(0, 1)\n", - " axes[1, i].set_ylim(-1.5, 1.5)\n", - " if i == 0:\n", - " axes[1, i].set_ylabel('Incorrect Sampling')\n", - " axes[1, i].set_xlabel('Time [s]')\n", - " axes[1, i].set_title(f'Step {i+1}')\n", - " axes[1, i].grid(True)\n", - "\n", - "# Plotting steps for oversampling\n", - "for i in range(8):\n", - " axes[2, i].plot(t_continuous, y_continuous, label='Continuous Signal')\n", - " axes[2, i].stem(t_sampled_oversample[:i+1], y_sampled_oversample[:i+1], 'r', markerfmt='ro', basefmt=\" \", label='Sampled Signal')\n", - " axes[2, i].set_xlim(0, 1)\n", - " axes[2, i].set_ylim(-1.5, 1.5)\n", - " if i == 0:\n", - " axes[2, i].set_ylabel('Oversampling')\n", - " axes[2, i].set_xlabel('Time [s]')\n", - " axes[2, i].set_title(f'Step {i+1}')\n", - " axes[2, i].grid(True)\n", - "\n", - "plt.tight_layout()\n", - "plt.show()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Steps in Digital Signal Processing\n", - "\n", - "1. **Sampling**: Converting the continuous-time signal into a discrete-time signal.\n", - "2. **Quantization**: Converting the continuous-amplitude signal into a discrete-amplitude signal.\n", - "3. **Encoding**: Converting the quantized signal into a digital code.\n", - "4. **Transmission**: Sending the digital signal over a communication channel.\n", - "5. **Reconstruction**: Converting the digital signal back into an analog signal.\n", - "\n", - "## Sampling\n", - "\n", - "Sampling involves measuring the amplitude of a continuous signal at regular intervals. The sampling rate (or sampling frequency) must be at least twice the highest frequency present in the signal to avoid aliasing.\n", - "\n", - "### *Example*: Sampling a Sine Wave in Python" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Continuous signal\n", - "t = np.linspace(0, 1, 1000) # Time vector\n", - "f = 5 # Frequency in Hz\n", - "continuous_signal = np.sin(2 * np.pi * f * t)\n", - "\n", - "# Sampled signal\n", - "fs = 20 # Sampling frequency in Hz\n", - "n = np.arange(0, 1, 1/fs) # Sampling instances\n", - "sampled_signal = np.sin(2 * np.pi * f * n)\n", - "\n", - "# Plotting\n", - "plt.figure(figsize=(10, 4))\n", - "plt.plot(t, continuous_signal, label='Continuous Signal')\n", - "plt.stem(n, sampled_signal, 'r', markerfmt='ro', label='Sampled Signal')\n", - "plt.xlabel('Time [s]')\n", - "plt.ylabel('Amplitude')\n", - "plt.title('Sampling a Sine Wave')\n", - "plt.legend()\n", - "plt.grid(True)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Aliasing\n", - "\n", - "Aliasing occurs when a signal is sampled at a rate below the Nyquist rate. It causes different signals to become indistinguishable (or aliases of one another) when sampled.\n", - "\n", - "### *Example*: Aliasing in Python" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Continuous signal with higher frequency\n", - "t = np.linspace(0, 1, 1000) # Time vector\n", - "f = 15 # Frequency in Hz (higher than Nyquist frequency for fs=20Hz)\n", - "continuous_signal = np.sin(2 * np.pi * f * t)\n", - "\n", - "# Sampled signal\n", - "fs = 20 # Sampling frequency in Hz\n", - "n = np.arange(0, 1, 1/fs) # Sampling instances\n", - "sampled_signal = np.sin(2 * np.pi * f * n)\n", - "\n", - "# Plotting\n", - "plt.figure(figsize=(10, 4))\n", - "plt.plot(t, continuous_signal, label='Continuous Signal (High Frequency)')\n", - "plt.stem(n, sampled_signal, 'r', markerfmt='ro', label='Sampled Signal')\n", - "plt.xlabel('Time [s]')\n", - "plt.ylabel('Amplitude')\n", - "plt.title('Aliasing Effect')\n", - "plt.legend()\n", - "plt.grid(True)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "> $\\textcolor{#FFC0D9}{\\Longrightarrow}$ The Nyquist Rate is twice the maximum component frequency of the function being sampled. It's the sampling frequency you would need to avoid aliasing in the digital signal.\n", - "\n", - "## Digitalization\n", - "\n", - "There is no critical number of bits above which no information is lost. The more bits we allocate per sample, the less noise we add to the signal. Decreasing the number of bits monotonically reduces the Signal-to-Noise Ratio (SNR). Analog signal values outside the allowed range specified by the digitizer, i.e., the number of bits it can represent, are clipped to the maximum permitted values." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### *Example*:\n", - "\n", - "This code creates a 4x4 grid of subplots, each demonstrating the effect of different sampling frequencies on a 5 Hz sine wave. The sampling frequencies range from below the Nyquist rate to much higher than the Nyquist rate:\n", - "\n", - "- 5 Hz: Below the Nyquist rate, resulting in aliasing.\n", - "- 10 Hz: Nyquist rate, which is the minimum required sampling frequency.\n", - "- 20 Hz: Above the Nyquist rate, providing a more accurate representation.\n", - "- 40 Hz and higher: Increasingly accurate representations with more samples.\n", - "\n", - "\n", - "In these plots:\n", - "\n", - "- **Continuous Signal**: The original 5 Hz sine wave.\n", - "- **Sampled Signal**: The sampled points at each specified sampling frequency.\n", - "\n", - "By comparing these plots, you can clearly see the importance of sampling at or above the Nyquist rate to accurately capture and reconstruct the original signal." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Define the continuous signal\n", - "def continuous_signal(t):\n", - " return np.sin(2 * np.pi * 5 * t) # 5 Hz sine wave\n", - "\n", - "# Define time range\n", - "tmin = 0\n", - "tmax = 1\n", - "\n", - "# Generate continuous time vector\n", - "t = np.linspace(tmin, tmax, 1000)\n", - "x = continuous_signal(t)\n", - "\n", - "# Define sampling frequencies\n", - "sampling_frequencies = [5, 10, 20, 40, 60, 80, 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000]\n", - "\n", - "# Create a 4x4 grid of subplots\n", - "fig, axes = plt.subplots(4, 4, figsize=(15, 15))\n", - "\n", - "# Plot the continuous signal in each subplot\n", - "for i, ax in enumerate(axes.flat):\n", - " fs = sampling_frequencies[i]\n", - " T = 1 / fs\n", - " nmin = np.ceil(tmin / T)\n", - " nmax = np.floor(tmax / T)\n", - " n = np.arange(nmin, nmax)\n", - " x_sampled = continuous_signal(n * T)\n", - " \n", - " ax.plot(t, x, label='Continuous Signal')\n", - " ax.plot(n * T, x_sampled, 'o', label=f'Sampled Signal (fs = {fs} Hz)')\n", - " ax.set_xlim(tmin, tmax)\n", - " ax.set_ylim(-1.5, 1.5)\n", - " ax.set_title(f'Sampling at {fs} Hz')\n", - " ax.set_xlabel('Time [s]')\n", - " ax.set_ylabel('Amplitude')\n", - " ax.grid(True)\n", - " if i == 0:\n", - " ax.legend()\n", - "\n", - "plt.tight_layout()\n", - "plt.show()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Anti-Aliasing and Reconstruction Filters\n", - "\n", - "When dealing with analog-to-digital conversion, it is crucial to understand the role of anti-aliasing and reconstruction filters. These filters ensure that the digital representation of a signal accurately reflects the original analog signal without introducing distortions or inaccuracies. \n", - "\n", - "### Anti-Aliasing Filter\n", - "\n", - "An anti-aliasing filter is a low-pass filter applied to an analog signal before the sampling process. Its primary function is to remove high-frequency components from the signal that could cause aliasing. Aliasing occurs when high-frequency components of the signal are misinterpreted as lower frequencies during the sampling process, leading to distortions in the digitized signal.\n", - "\n", - "#### Why is Anti-Aliasing Important?\n", - "\n", - "According to the Nyquist-Shannon sampling theorem, to accurately reconstruct an analog signal from its samples, the sampling rate must be at least twice the highest frequency present in the signal. This minimum rate is known as the Nyquist rate. If a signal contains frequencies higher than half the sampling rate (the Nyquist frequency), these higher frequencies can alias, or fold back, into the lower frequency spectrum, causing distortion.\n", - "\n", - "To prevent this, an anti-aliasing filter is used to attenuate the frequencies above the Nyquist frequency, ensuring that only the frequencies that can be accurately sampled are present in the signal.\n", - "\n", - "#### Characteristics of an Anti-Aliasing Filter\n", - "\n", - "- **Low-Pass Filter**: Allows low-frequency components to pass through while attenuating high-frequency components.\n", - "- **Cutoff Frequency**: Set just below the Nyquist frequency to ensure all frequencies above this point are removed or significantly reduced.\n", - "- **Filter Order**: Higher-order filters provide steeper roll-off characteristics, meaning they more effectively attenuate frequencies above the cutoff frequency." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Anti-Aliasing Filter Example\n", - "\n", - "> $\\textcolor{#FFC0D9}{\\Longrightarrow}$ Since we haven't seen exactly what the Fourier transform means, assume that it's a way of representing time functions in another domain (frequency domain) which makes computations easier. In other words, it's like a change of basis.\n", - "\n", - "#### *Example* of an Anti-Aliasing Filter\n", - "\n", - "Consider a signal with a maximum frequency component of 250 Hz. If we sample this signal at 1000 Hz, the Nyquist frequency is 500 Hz. To prevent aliasing, we use an anti-aliasing filter with a cutoff frequency just below 500 Hz, ideally around 100 Hz in this example.\n", - "\n", - "In practical terms, implementing an anti-aliasing filter might involve using a digital filter applied to the signal after it has been digitized but before it is downsampled.\n", - "\n", - "#### Mathematical Representation\n", - "\n", - "Let $X(f)$ represent the frequency domain representation of the signal $x(t)$. An ideal low-pass filter $H(f)$ with a cutoff frequency $f_c$ can be defined as:\n", - "\n", - "$$\n", - "H(f) = \n", - "\\begin{cases} \n", - "1 & |f| \\leq f_c \\\\\n", - "0 & |f| > f_c \n", - "\\end{cases}\n", - "$$\n", - "\n", - "The filtered signal $Y(f)$ in the frequency domain is then given by:\n", - "\n", - "$$\n", - "Y(f) = X(f) \\cdot H(f)\n", - "$$\n", - "\n", - "By performing an inverse Fourier transform, we can obtain the time-domain representation of the filtered signal $y(t)$:\n", - "\n", - "$$\n", - "y(t) = \\mathcal{F}^{-1}\\{Y(f)\\}\n", - "$$\n", - "\n", - "### Code explanation\n", - "\n", - "> $\\textcolor{#FFC0D9}{\\Longrightarrow}$ For the code shown below we use an FIR (Finite Impulse Response) for now understand this filter as a tool used in digital signal processing to modify signals, like audio or data. Imagine it as a recipe where you mix the current and past input signals using specific amounts (called coefficients) to create a new signal. Unlike other filters, an FIR filter uses only a fixed number of past inputs, making it easier to control and ensuring the output is stable and predictable. This makes FIR filters great for tasks like smoothing out noise or enhancing certain parts of a signal.\n", - "\n", - "1. **Filter Design**: The `firwin` function [documentation](https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.firwin.html) is used to design a low-pass FIR filter with a cutoff frequency of 100 Hz and a filter length of 29 coefficients.\n", - "2. **Signal Generation**: A sample signal is created with both a 2 Hz sinusoid (low-frequency) and a 250 Hz sinusoid (high-frequency).\n", - "3. **Filtering**: The `lfilter` function applies the FIR filter to the signal.\n", - "4. **Visualization**: The frequency response of the filter is plotted, showing how it attenuates frequencies above the cutoff. The original and filtered signals are also plotted, demonstrating the effect of the filter in the time domain.\n", - "\n", - "### Conclusion\n", - "\n", - "The anti-aliasing filter plays a crucial role in digital signal processing by ensuring that high-frequency components are attenuated before downsampling, thereby preventing aliasing and preserving the integrity of the digitized signal." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "from scipy.signal import firwin, lfilter, freqz\n", - "\n", - "# Sample rate and desired cutoff frequencies (in Hz).\n", - "sample_rate = 1000.0 # Sampling rate in Hz\n", - "nyquist_rate = sample_rate / 2.0 # Nyquist rate\n", - "cutoff_freq = 100.0 # Desired cutoff frequency of the filter, Hz\n", - "\n", - "# Length of the filter (number of coefficients, i.e. the filter order + 1)\n", - "numtaps = 29\n", - "\n", - "# Use firwin to create a low-pass FIR filter\n", - "fir_coeff = firwin(numtaps, cutoff_freq/nyquist_rate)\n", - "\n", - "# Generate a sample signal: 2 Hz and 250 Hz sinusoids\n", - "t = np.linspace(0, 1.0, int(sample_rate), endpoint=False)\n", - "signal = np.sin(2 * np.pi * 2 * t) + np.sin(2 * np.pi * 250 * t)\n", - "\n", - "# Apply the FIR filter to the signal\n", - "filtered_signal = lfilter(fir_coeff, 1.0, signal)\n", - "\n", - "# Plot the frequency response of the filter\n", - "w, h = freqz(fir_coeff, worN=8000)\n", - "plt.figure(figsize=(12, 6))\n", - "plt.plot(0.5*sample_rate*w/np.pi, np.abs(h), 'b')\n", - "plt.title(\"Frequency Response of the Low-pass FIR Filter\")\n", - "plt.xlabel('Frequency (Hz)')\n", - "plt.ylabel('Gain')\n", - "plt.grid()\n", - "\n", - "# Plot the original and filtered signals\n", - "plt.figure(figsize=(12, 6))\n", - "\n", - "plt.subplot(2, 1, 1)\n", - "plt.plot(t, signal, label='Original signal')\n", - "plt.title('Original Signal')\n", - "plt.xlabel('Time [s]')\n", - "plt.ylabel('Amplitude')\n", - "plt.legend()\n", - "\n", - "plt.subplot(2, 1, 2)\n", - "plt.plot(t, filtered_signal, label='Filtered signal', color='orange')\n", - "plt.title('Filtered Signal (Low-pass FIR Filter)')\n", - "plt.xlabel('Time [s]')\n", - "plt.ylabel('Amplitude')\n", - "plt.legend()\n", - "\n", - "plt.tight_layout()\n", - "plt.show()\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "torch-gpu", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.13" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_build/html/_sources/common-signals-engineering.ipynb b/_build/html/_sources/common-signals-engineering.ipynb deleted file mode 100644 index 28dea81..0000000 --- a/_build/html/_sources/common-signals-engineering.ipynb +++ /dev/null @@ -1,687 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Common Signals in Engineering" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Continous Signals" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "A signal that appears often in models is one whose time rate of change is directly proportional to the signal itself.\n", - "\n", - "An example of this type of signal is the differential equation:\n", - "\n", - "$$\\frac{dx(t)}{dt} = a x(t)$$\n", - "\n", - "The solution of this equation is the exponential function:\n", - "\n", - "$$x(t) = x(0)e^{at}, \\text{ for } t \\geq 0$$\n", - "\n", - "The circuit shown below, known as the RL circuit, presents this kind of equation. \n", - "\n", - "\n", - ":::{figure-md} markdown-fig\n", - "\"rl_circuit\"\n", - "\n", - "RL circuit schematic\n", - ":::\n", - "\n", - "That is,\n", - "\n", - "$$L\\frac{di(t)}{dt} + Ri(t) = 0 \\implies \\frac{di(t)}{dt} = -\\frac{R}{L} i(t) = a i(t), \\text{ where } a = -\\frac{R}{L}$$\n", - "\n", - "The current is then:\n", - "\n", - "$$i(t) = i(0) e^{-\\frac{Rt}{L}}$$\n", - "\n", - "With that in mind, since such signals are common in engineering, let's proceed with a more general form of such a signal.\n", - "\n", - "$$ x(t) = Ce^{at} $$\n", - "\n", - "where $ C $ and $ a $ can be real or complex number." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Case 1: $ C $ and $ a $ are Real\n", - "\n", - "$$ x(t) = Ce^{at} $$\n", - "\n", - "This represents an exponential growth or decay depending on the sign of $ a $." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "# Define time variable\n", - "t = np.linspace(-2, 2, 400)\n", - "\n", - "# Case 1: a > 0\n", - "C1 = 1\n", - "a1 = 1\n", - "x1 = C1 * np.exp(a1 * t)\n", - "\n", - "# Case 2: a < 0\n", - "C2 = 1\n", - "a2 = -1\n", - "x2 = C2 * np.exp(a2 * t)\n", - "\n", - "# Case 3: a = 0\n", - "C3 = 1\n", - "a3 = 0\n", - "x3 = C3 * np.exp(a3 * t)\n", - "\n", - "# Create subplots\n", - "fig, axs = plt.subplots(1, 3, figsize=(10, 5))\n", - "\n", - "# Case 1: a > 0\n", - "axs[0].plot(t, x1.real, label='Real part')\n", - "axs[0].plot(t, x1.imag, label='Imaginary part')\n", - "axs[0].set_title('Case 1: a > 0')\n", - "axs[0].legend()\n", - "\n", - "# Case 2: a < 0\n", - "axs[1].plot(t, x2.real, label='Real part')\n", - "axs[1].plot(t, x2.imag, label='Imaginary part')\n", - "axs[1].set_title('Case 2: a < 0')\n", - "axs[1].legend()\n", - "\n", - "# Case 3: a = 0\n", - "axs[2].plot(t, x3.real, label='Real part')\n", - "axs[2].plot(t, x3.imag, label='Imaginary part')\n", - "axs[2].set_title('Case 3: a = 0')\n", - "axs[2].legend()\n", - "\n", - "plt.show()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To aid us in differentiating between exponentials that decay at different rates, we express the exponential as, for $a < 0$,\n", - "\n", - "$$x(t) = Ce^{at} = Ce^{\\frac{-t}{\\tau}}, \\quad \\tau > 0$$\n", - "\n", - "where $\\tau$ is a time constant of the exponential.\n", - "\n", - "The derivative of $x(t)$ at $t = 0$ is given by\n", - "\n", - "$$\\frac{dx(t)}{dt}\\bigg|_{t=0} = -\\frac{C}{\\tau}e^{\\frac{-t}{\\tau}}\\bigg|_{t = 0} = -\\frac{C}{\\tau}$$\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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/8+bNQqtWrQSVSiW4uroKr776qnD37l2TdUaNGiXY2dkV23bWrFlCSf8LWLVqlRAUFCTY2NgIDg4OQvPmzYX3339fuHfvnnGd2rVrC/379y+27b+nJhcEQVi9erVQt25dQSaTmUyn/e91DQaDMG/ePKF27dqCSqUSWrVqJfz555/CqFGjhNq1a5vsE2ZMY170JZfLBVdXV6F9+/bC9OnTS/x+CoIgZGVlCdOnTxfq168vKJVKwd3dXejQoYPw1VdfCRqNxrieTqcTvvzyS6Fx48aCUqkUPDw8hL59+wpnzpwxrrNjxw6hRYsWglqtFvz9/YUFCxYIa9euNZnC+2FF09W/+eabj/1sD3vU3+/DkpOThRdffFGwtbUVXFxchPHjxwuXLl0qcRrz0o6V0nz+q1evCl26dBFsbGwEAMYpzf89jXmR5cuXC40bNxYUCoXg5eUlTJgwQUhLSzNZp2vXrkLTpk1L/D78e5wQEVUUiSDwqksiIktw8OBBdO/eHVu2bDH7aA9Zv+3bt2Pw4ME4fPiwyRTxRERkWXgNFBERkQVYvXo16tati06dOokdhYiIHoPXQBEREYlo06ZNuHDhAnbu3IklS5aU6Wa0RERUeVigiIiIRPTyyy/D3t4eb7zxBiZOnCh2HCIiegJeA0VERERERFRKvAaKiIiIiIiolFigiIiIiIiISqnaXgNlMBhw7949ODg48IJdIiIiIqJqTBAEZGVlwcfHB1Lp448xVdsCde/ePfj5+Ykdg4iIiIiILMSdO3dQs2bNx65TbQuUg4MDgMJvkqOjo8hpAK1Wiz179iAkJAQKhULsOGTJtFro16zBlStX0Gj+fChsbcVORFaAP2PIXBwzZC6OGTKXJY2ZzMxM+Pn5GTvC41TbAlV02p6jo6PFFChbW1s4OjqKPoDIwuXkAB98gA4AtF9/DYUFjF+yfPwZQ+bimCFzccyQuSxxzJTm0h5OIkFERERERFRKLFBERERERESlxAJFRERERERUStX2GigiIiIiqjiCIECn00Gv14sdhSyUVquFXC5Hfn5+pYwThUIBmUz21PthgSIiIiKicqXRaBAfH4/c3Fyxo5AFEwQB3t7euHPnTqXcl1UikaBmzZqwt7d/qv2wQBERERFRuTEYDIiJiYFMJoOPjw+USmWl/HJM1sdgMCA7Oxv29vZPvHnt0xIEAcnJybh79y4aNGjwVEeiWKCIrI1KBd22bTh9+jSCVCqx0xAREZnQarUwGAzw8/ODLe9VSI9hMBig0WigVqsrvEABgIeHB2JiYqDValmgiKoVuRxCv35IfPCYiIjIkgiCAACV8gsxkTnK60goRzYREREREVEpsUARWRutFpING+C3bx+g1YqdhoiIiKhaYYEisjYaDeRjx6L1smWARiN2GiIiIiKLkJaWVinvwwJFRERERERWb9q0aZXyPixQRERERERkdOvWLezYsUPsGGb5448/EBUVhZUrV1b4e3EKLyIiIiIiMvrrr7+QlZWF5557TuwoxVy8eBHTp083PpfJZNi+fTvc3Nzw+uuvY+TIkRWewSKOQB0+fBgDBw6Ej48PJBIJtm3b9sRtDh48iNatW0OlUqF+/fpYv359heckIiIiIqoqfvzxR7Rr1w7NmzdH//79UVBQgEOHDmHmzJlYs2YNWrVqhZycHLFjmmjevDn+/PNP49f27dsBFBar5s2bV0oGiyhQOTk5CAwMxIoVK0q1fnR0NPr374/u3bsjIiICU6ZMwdixY7F79+4KTkpERERE1dn9+/fh6emJmJiYx643fPhwLFy4sHJClVHfvn1x8uRJXLx4ET4+Pjh48CC6du2KFi1aICwsDOfOnYOdnZ3YMUvFw8MDy5Ytw507dyr8vSyiQPXt2xdz5szB888/X6r1V65ciTp16mDhwoVo0qQJJk2ahCFDhuDrr7+u4KQVIyNXi61n45CYJ3YSIiIiInqcuXPnYtCgQfD39zcue++99/DCCy+YrPfRRx9h7ty5yMjIqJAcZ86cwfDhw+Hj4wO1Wo369evjtddew+XLl0u1vSAIWL16Ndq2bYvAwED8+uuvUKvVAIDY2FiTz1dRuW1tbdG6dWuMGDGi1Lkf5YUXXsDatWvh5+dXTkkfzSqvgQoPD0fPnj1NlvXu3RtTpkx55DYFBQUoKCgwPs/MzAQAaLVaaEW+l86Hv57HX5cT0dNHitd4Xx96EqkUhh9+wIULF9BUKuW9oKhUin7Oif3zjqwHxwyZq2is6HQ6CIIAg8EAg8EgcqrylZubizVr1uCvv/4y+WwnT55Ev379TJYFBASgXr16+OGHHzBx4sRyzbF69Wq8/fbbeP3117F161bUqFEDUVFRWLZsGX766SfMmTPniftYt24drly5goMHD8LGxgYNGjRA48aNERsbCx8fnwr5u/t3bm9vb1y8eBFr1qwpdW6ZTFbq99Pr9SbPDQYDBEGAVqstth9zftZZZYFKSEiAl5eXyTIvLy9kZmYiLy8PNjY2xbaZP38+Zs+eXWz5nj17YGtrW2FZS8NLIwEgw7n7EuzZEwaJRNQ4ZA0cHICOHXHvwAGxk5CVCQsLEzsCWRmOGTLX8ePH4e3tjezsbGis7H6FW7duxTvvvINz587B29sbAPD2228jIiICoaGhOHjwIJRKJQICApCZmQmNRgNfX1/odDocP34cH330Edq0aWP876ZXr1746aef8Nprr5VbxvDwcEycOBFffPEF3njjDePytm3bYsOGDUhLSzMeKLhz5w5mz56NvXv3QiKRoGfPnvjyyy/h7OyMiIgItG7dGlqtFt988w1ycnKgUqlw7tw5uLu7G/dR0bm7du2Krl27ljq3Ofd6+vdn0Gg0yMvLw+HDh6HT6Uxey83NLfV+JYIgCKVeuxJIJBL8/vvvGDx48CPXadiwIcaMGWMyA0doaCj69++P3NzcEgtUSUeg/Pz8kJKSAkdHx3L9DObK1ejwzOcHkac1YPMbQWjt7yZqHrJ8Wq0WYWFh6NWrFxQKhdhxyApwzJC5OGbIXEVjpkuXLoiPj4e/v7/xlDBBEJCn1T9hD+XPRiGDxIx/mRYEAa1bt0bnzp2xdOlSfPLJJ1i3bh2OHz8OX19fTJkyBdevX0doaCiAwiMap0+fRnBwMM6ePQsvLy+o1Wo4OzsDAHbt2oXnn38e6enpUKlUJu81f/58zJ8//7F5Ll26hFq1apkse+aZZ2Bvb4+9e/c+dtuoqCh07NgRb731Fl555RVkZ2dj0qRJaNasGVavXo3z589j6NChcHNzQ8eOHXHhwgXs3r0bGRkZ6NmzJzQaDX7++WcEBARUWG5BEJCVlQUHBwfj39OTchc5evQoli5disjISLRu3Rpr1qx54s+q/Px8xMTEwM/Pzzg2i2RmZsLd3R0ZGRlP7AZWeQTK29sbiYmJJssSExPh6OhYYnkCAJVKVWzgAoBCoRD9fwxOCgV6NPLEzksJ2HM1Be0beIuahyycTgfJ9u3wOXcOipAQ0ccvWRdL+JlH1oVjhswll8shkUgglUohlRZebp+r0aHZJ5V/NDPy096wVZb+lC+g8BqnIUOGoEaNGli+fDmOHDlivK4mNjYWvr6+xs8llUqRkJAANzc3tGrVqti+atasCY1Gg6SkJNSuXdvktQkTJmDYsGGPzVKzZk3jewHAlStXcOrUKWzdutVkeUkmTZqEiRMnmpyB9f7772PatGmQSqVo1aoVbty4UWw7FxcXnDlz5pH7Lc/cRacJFo2X0uQu0qVLF9jb2+P48eOYNGnSY/MUkUqlkEgkJf5cM+fnnFUWqODgYGPzLxIWFobg4GCREj29fs29sPNSAkIvJeK//ZtCKuV5fPQIBQWQv/IK2gLQzpgBPOIfDYiIiMh8AwYMQEBAAD799FPs2bMHTZs2Nb6Wl5dX7MjFuXPnEBgYWOK+iv5hv6TTw1xdXeHq6mpWtrNnzwIAgoKCHrve7du3ERYWhqNHj5rMBKjX6596kgVLyh0ZGWny91NZLKJAZWdnIyoqyvg8OjoaERERcHV1Ra1atTB9+nTExcVhw4YNAIC33noLy5cvx/vvv4/XX38d+/fvxy+//IKdO3eK9RGeWtcG7lDJBMRn5OPcnTQE1TZvYBIRERFZKhuFDJGf9hblfc21a9cuXL16FXq9vtg19+7u7sWuwYmIiHhkgUpNTQVQOMX2v82bNw/z5s17bJbIyEiTU+GKipi9vf1jtzt//jxcXV3x999/F3vtUWdrlZYl5XZxccEvv/yC7t27lyZ6ubGIAnX69GmTDz516lQAwKhRo7B+/XrEx8cjNjbW+HqdOnWwc+dOvPfee1iyZAlq1qyJ7777Dr17V/5/mOVFpZChuYuA0ykS/HE+ngWKiIiIqgyJRAJbpUX82vlYZ8+exdChQ7FmzRqsX78eM2fOxJYtW4yvt2rVCj/++KPJNhcvXsSLL75Y4v4uXbqEmjVrwt3dvdhrb731FoYOHfrYPD4+PibPmzVrBgA4cuRIibf/KZpMTaFQICsryzhVeHmqqNx2dnZm5+7fvz/69+9vRvryYREjuVu3bnjcXBbr168vcZtz585VYKrK18pdwOkUIPRiPGYOCICMp/ERERERVYqYmBj0798fM2bMwMsvv4y6desaJ4do3bo1gMLb5kyfPh1paWlwcXEBUHgdz7Vr13Dv3j3Y2dnBycnJuM8jR44gJCSkxPcry6lwwcHBCAkJwcSJE5GdnY3g4GAYDAacOnUK3377LVatWoWAgAC0b98ejo6OGDlyJGbOnAk7OztERUVh165dWLx4cdm+QRWQ+++//8aKFSvw3XffoVmzZhWauzxZxI10qVBjJwEOajmSsgpwKiZV7DhERERE1UJqair69OmDQYMG4cMPPwQAtG/fHn379sWMGTOM6zVv3hytW7fGL7/8Ylw2Z84crF+/Hr6+vib3McrPz8e2bdswbty4cs26fft2TJ48GV988QUCAwMRHByMpUuXok+fPmjcuDGAwpITGhqK+/fvo0uXLmjdujX++9//om7duuWa5WlzL1++HD179rTo3CWxuGnMK0tmZiacnJxKNVVhZdBqtQgNDcWh/Fr47dw9jHimNj4b3EzsWGSJcnKAB+cQa9PSoHgwVSrR4xT9jOnXrx9nVKNS4ZghcxWNmR49euDu3buoU6dOsQkXqoKdO3di2rRpuHTp0mNnwvv222/x+++/Y8+ePZWYzroYDAZkZmbC0dHxibMKlof8/HxER0eXODbN6QY8AmVh+jcvnML8r0vx0Omr1t27iYiIiKxd//798eabbyIuLu6x6ykUCixbtqySUlFlsohroOgfwXVd4WKrQEq2Bn9Hp6Jj/eIXHVI1p1RC9913uHD+PJorlWKnISIiqnamTJnyxHXGjh1b8UFIFDwCZWEUMin6NCs8CvXnhXsipyGLpFBAGDkSd559FuBpNURERESVigXKAg1oUTj141+XEqDlaXxERERERBaDBcoCta/jCnd7JdJztTgWlSJ2HLI0Oh0koaHwOn0a0OnETkNERERUrbBAWSC5TIq+zWoAAP68EC9yGrI4BQWQDx6MZ+bMAQoKxE5DREREVK2wQFmoAS0KC9TuywnI1+pFTkNERERERAALlMVq6++KGk5qZOXrcPBasthxiIiIiIgILFAWSyqV4LnAwskktkc8/j4DRERERERUOVigLNhzLQsL1L6rScjM14qchoiIiIiIWKAsWEANRzTwtIdGZ8DuSwlixyEiIiIiqvZYoCyYRCLBoAdHoXac5011iYiIiCrae++9hxdeeEHsGGTBWKAs3HOBvgCAY1EpSMrKFzkNWQSlEvolS3DhzTcBpVLsNERERFXKyZMn0aZNG7FjkAVjgbJwtdxs0bqWMwwC8Od53hOKACgUMEyYgOh+/QCFQuw0REREVYJGo4FCocDx48fx3//+FxKJBM8880y57HvQoEGQSCQlfu3YsaNc3oMqj1zsAPRkg1r64mxsOrafv4fXO9UROw4RERFR2eTkPPo1mQxQq0u3rlQK2Ng8fl07O7OiyeVyHDt2DO3bt0dERAS8vLygfjgPgHnz5mHevHmP3U9kZCRq1aplsmzt2rXQarXIzs5GgwYNEBoailatWgEA3N3dzcpJ4mOBsgL9W9TAp39G4vyddESn5KCOu3k/EKiK0eshOXQIbhcvAr178ygUERFZD3v7R7/Wrx+wc+c/zz09gdzcktft2hU4ePCf5/7+QEqK6TqCYFY0qVSKe/fuwc3NDYGBgSWu89Zbb2Ho0KGP3Y+Pj0+xZW5ubgCA8PBwSCQSdO7cGfaP+16QRWOBsgLu9ip0qu+OQ9eTsSPiHt7t2UDsSCSm/HzIe/VCJwDaSZNM/7WOiIiIyuzcuXOPLE8A4OrqCldX1zLv/8KFC/D392d5snIsUFZiUEsfHLqejO3n4zD52fqQSCRiRyIiIiIyT3b2o1+TyUyfJyU9el3pvy7jj4kpc6SHRUREPLZAlfUUviIXLlxAixYtniojiY8FykqENPWGSn4Rt5JzcPleJpr5OokdiYiIiMg85lyXVFHrPsbFixfx4osvPvL1sp7CVyQmJgbNmjUrcz6yDCxQVsJeJUfPAC/svBCPbefiWKCIiIiIypnBYMC1a9dw79492NnZwcnJ9Petpz2Fz2Aw4Pbt24iLi4OPjw/PKLJSnMbcigxuWXhPqD8u3IPeYN6FkURERET0eHPmzMH69evh6+uLOXPmlPv+J0+ejGPHjqFRo0YQzJzkgiwHj0BZka4NPeBko0BiZgFO3LqPjvU57SURERFReXnttdfw2muvVdj++/btizt37lTY/qly8AiUFVHKpRjQogYA4Nezd0VOQ0RERERU/bBAWZkXWtcEAOy6lIBcjU7kNCQKhQL6+fNxedQo3gOKiIiIqJKxQFmZ1rWc4e9mi1yNHrsvJ4gdh8SgVMLwf/+HqOefB5RKsdMQERERVSssUFZGIpHg+VaFR6F+OxsnchoiIiIiouqFBcoKPd+qcDa+Y1EpSMjIFzkNVTq9HpLTp+F84wag14udhoiIiKhaYYGyQrXcbNHO3xUGAdgewaNQ1U5+PuQdOqDrtGlAPgs0ERFZlqJ7GxkMBpGTEJkqr6njOY25lXq+tS9OxqTit7NxeLNLXd6IjYiIiCyCQqGAVCrFvXv34OHhAaVSyd9TqEQGgwEajQb5+fmQSiv2uI4gCEhOToZEIoHiKSfhYoGyUv2a18CsHZdxLTELkfGZaOrj9OSNiIiIiCqYVCpFnTp1EB8fj3v37okdhyyYIAjIy8uDjY1NpZRsiUSCmjVrQiaTPdV+WKCslJONAr0CvLDzQjx+OxvHAkVEREQWQ6lUolatWtDpdNDzel16BK1Wi8OHD6NLly5PfVSoNBQKxVOXJ4AFyqq90MoXOy/EY3tEHKb3bQy5jJe0ERERkWUoOlWqMn4xJuskk8mg0+mgVqutapzwN24r1qWhB9zslEjJ1uDIjRSx4xARERERVXksUFZMIZPiuZY+AIDfznE2PiIiIiKiisYCZeVebF14U909lxOQma8VOQ1VCoUC+o8+wtVhwwArOtxNREREVBWwQFm5pj6OaOBpjwKdAaEX4sWOQ5VBqYTh449x7eWXAaVS7DRERERE1QoLlJWTSCR4MajwKNTWM3dFTkNEREREVLWxQFUBL7TyhUwqwenbabiZnC12HKpoBgNw+TIcYmMLHxMRERFRpWGBqgI8HdXo2tADAI9CVQt5eVC0aoUekycDeXlipyEiIiKqVligqoihbQpP4/vt7F3o9DwqQURERERUEVigqogejb3gaqdEYmYB7wlFRERERFRBWKCqCKVcikEP7gm15cwdkdMQEREREVVNLFBVyEtBfgCAvZFJSMvRiJyGiIiIiKjqYYGqQgJ8HNHM1xEavQHbI+LEjkNEREREVOWwQFUxRUehfjnN2fiIiIiIiMobC1QVM6ilD5QyKSLjM3H5XobYcagiKBTQT52KG4MHAwqF2GmIiIiIqhUWqCrG2VaJXgFeAIAtPApVNSmVMHz+OSJHjwaUSrHTEBEREVUrLFBV0EsP7gm1LSIOBTq9yGmIiIiIiKoOFqgqqHMDD3g7qpGeq8W+K0lix6HyZjAAMTGwSUwsfExERERElYYFqgqSSSV4obUvAOCX07wnVJWTlwdFw4YIGT8eyMsTOw0RERFRtcICVUUNbVM4G9+h68mIS+cv2URERERE5YEFqoryd7dDcF03CALwyykehSIiIiIiKg8sUFXY8HaFR6G2nL4DvUEQOQ0RERERkfVjgarCejf1hrOtAvcy8nH4erLYcYiIiIiIrB4LVBWmVsjwQqvCKc1/PhkrchoiIiIiIuvHAlXFvfzgNL59V5OQlJkvchoiIiIiIuvGAlXFNfByQFBtF+gNAracuSt2HCoPcjn0b72F6L59Ablc7DRERERE1QoLVDUwvG3hUajNp+7AwMkkrJ9KBcPSpbgwfjygUomdhoiIiKhaYYGqBvq3qAEHlRyxqbkIv3Vf7DhERERERFaLBaoasFXKMaiVDwBOJlElCAKQnAxlRkbhYyIiIiKqNCxQ1cTwtrUAAHsuJyI1RyNyGnoqublQ+Pqi76hRQG6u2GmIiIiIqhUWqGqima8Tmvs6QaM34LeznEyCiIiIiKgsWKCqkeEPpjT/+WQsBJ76RURERERkNhaoauS5QB/YKmW4mZyDv6NTxY5DRERERGR1WKCqEQe1AoNa+gIAfjxxW+Q0RERERETWhwWqmnm1feFkErsvJyA5q0DkNERERERE1oUFqppp5uuEln7O0OoF/HL6jthxiIiIiIisCgtUNfTaM7UBABv/joXewMkkrI5cDsOIEYjt3h2Qy8VOQ0RERFStsEBVQwNa1ICTjQJx6Xk4eC1J7DhkLpUK+jVrcO7ddwGVSuw0RERERNUKC1Q1pFbI8FJQTQCcTIKIiIiIyBwsUNXUqw9O4zt4PRl3UnNFTkNmEQQgJwey/PzCx0RERERUaSymQK1YsQL+/v5Qq9Vo3749Tp48+dj1Fy9ejEaNGsHGxgZ+fn547733kJ+fX0lprV8ddzt0qu8OQQA2nowVOw6ZIzcXChcXDBg+HMhl+SUiIiKqTBZRoDZv3oypU6di1qxZOHv2LAIDA9G7d28kJZV8fc7GjRvx4YcfYtasWbhy5QrWrFmDzZs3Y8aMGZWc3Lq99kzhlOa/nLoDjc4gchoiIiIiIstnEQVq0aJFGDduHMaMGYOAgACsXLkStra2WLt2bYnrHz9+HB07dsQrr7wCf39/hISE4OWXX37iUSsy1bOJF7wcVbifo8GuywlixyEiIiIisniiz4Gs0Whw5swZTJ8+3bhMKpWiZ8+eCA8PL3GbDh064Mcff8TJkyfRrl073Lp1C6GhoRgxYsQj36egoAAFBf/cODYzMxMAoNVqodVqy+nTlF1RhsrOMjTIF8sO3MIP4THoG+BRqe9NZaTVQmF8qAUsYPyS5RPrZwxZL44ZMhfHDJnLksaMORlEL1ApKSnQ6/Xw8vIyWe7l5YWrV6+WuM0rr7yClJQUdOrUCYIgQKfT4a233nrsKXzz58/H7Nmziy3fs2cPbG1tn+5DlKOwsLBKfT/3AkAKGU7FpGHN1lDUsJxvBT2CLD8fAx483r9/P/Rqtah5yLpU9s8Ysn4cM2QujhkylyWMmVwzrisXvUCVxcGDBzFv3jx88803aN++PaKiovDuu+/is88+w8yZM0vcZvr06Zg6darxeWZmJvz8/BASEgJHR8fKiv5IWq0WYWFh6NWrFxQKxZM3KEfH8iOwJzIJsSp/vNEvoFLfm8ogJ8f4sEePHlA4O4uXhayGmD9jyDpxzJC5OGbIXJY0ZorOTisN0QuUu7s7ZDIZEhMTTZYnJibC29u7xG1mzpyJESNGYOzYsQCA5s2bIycnB2+++Sb++9//QiotfmmXSqWCqoSbjioUCtH/wh4mRp7RHetgT2QStkXE48N+AXBUW873g0rw0PiwtPFLlo9jhszFMUPm4pghc1nCmDHn/UWfREKpVCIoKAj79u0zLjMYDNi3bx+Cg4NL3CY3N7dYSZLJZAAAgffFMVtwXTc09LJHrkaPLafvih2HnkQmg+GFFxDXoQPwYNwTERERUeUQvUABwNSpU7F69Wp8//33uHLlCiZMmICcnByMGTMGADBy5EiTSSYGDhyIb7/9Fps2bUJ0dDTCwsIwc+ZMDBw40FikqPQkEglGBvsDAH4Ij4HBwBJq0dRq6Ddtwun33wd4/RMRERFRpRL9FD4AGDZsGJKTk/Hxxx8jISEBLVu2xK5du4wTS8TGxpoccfroo48gkUjw0UcfIS4uDh4eHhg4cCDmzp0r1kewes+38sWCXVcRcz8Xh64no3tjT7EjERERERFZHIsoUAAwadIkTJo0qcTXDh48aPJcLpdj1qxZmDVrViUkqx7sVHIMbeOHNUejsf54DAsUEREREVEJLOIUPrIMI4NrQyIBDl1Pxq3kbLHj0KPk5EChVGLQ4MEmM/IRERERUcVjgSKj2m526N6o8MjThvDbIqchIiIiIrI8LFBkYlQHfwDA1jN3kV2gEzcMEREREZGFYYEiE53ru6Ouux2yC3T47SynNCciIiIiehgLFJmQSiUYEVwbAPD98RjeV4uIiIiI6CEsUFTMkKCasFPKcDM5B0ejUsSOQ0RERERkMVigqBgHtQIvBtUEAKw/FiNuGCIiIiIiC8ICRSUqmkxi39UkTmluaWQyGPr2RUJQECCTiZ2GiIiIqFphgaIS1fOwR48HN9Ndx6NQlkWthn77dvw9cyagVoudhoiIiKhaYYGiRxrbqQ6AwinN03M1IqchIiIiIhIfCxQ9UnA9NzT2dkCeVo+fT94ROw4RERERkehYoOiRJBIJ3nhwFOr74zHQ6g0iJyIAQE4O5M7O6D9sGJCTI3YaIiIiomqFBYoe67mWPnC3VyEhMx+hF+PFjkMPSHJzIS8oEDsGERERUbXDAkWPpZLLMOKZwhvrrj0azRvrEhEREVG1xgJFT/TqM7WglEtx/m4GztxOEzsOEREREZFoWKDoidztVXi+pS8AYM3RaJHTEBERERGJhwWKSuX1B5NJ7L6cgDupuSKnISIiIiISBwsUlUojbwd0buAOgwCsPx4jdhwiIiIiIlGwQFGpFU1pvvnUHWTma0VOU41JpTB06YKUpk0BKf8TJiIiIqpM/O2LSq1rQw809LJHdoEOG/+OFTtO9WVjA/3evTg2dy5gYyN2GiIiIqJqhQWKSk0ikeDNLvUAFE5pXqDTi5yIiIiIiKhysUCRWZ4L9IG3oxpJWQXYHnFP7DhERERERJWKBYrMopRL8XonfwDAqsO3YDDwxrqVLicHch8f9Bk5EsjJETsNERERUbXCAkVme7ldLTio5IhKysaBa0lix6mWJCkpUGVmih2DiIiIqNphgSKzOagVeKV9LQDA/w7dEjkNEREREVHlYYGiMhnTsQ4UMglOxqTibGya2HGIiIiIiCoFCxSVibeTGoNa+gIAVvEoFBERERFVEyxQVGZvdqkLANgdmYDoFE5mQERERERVHwsUlVlDLwf0aOwJQQC+O8KjUERERERU9bFA0VMZ/+Ao1JYzd5GcVSBymmpCKoUhKAhp9esDUv4nTERERFSZ+NsXPZV2dVzR0s8ZGp0B645Fix2nerCxgT48HIe/+gqwsRE7DREREVG1wgJFT0UikWBit3oAgB/CbyMjTytyIiIiIiKiisMCRU+tZxMvNPSyR1aBDj+euC12HCIiIiKiCsMCRU9NKpVgYrf6AIA1R6ORp9GLnKiKy82FvEED9Bo3DsjNFTsNERERUbXCAkXlYkCLGvBztUFqjgabT8WKHadqEwRIbt+GbXIyIAhipyEiIiKqVligqFzIZVK81bXwWqhVh29BozOInIiIiIiIqPyxQFG5ebF1TXg6qHAvIx/bIuLEjkNEREREVO5YoKjcqBUyjOtceF+olQdvQm/g6WVEREREVLWwQFG5eqV9LTjZKHArJQe7LiWIHYeIiIiIqFyxQFG5slPJMaajPwBgxYEoCJzkgIiIiIiqEBYoKnejO/jDVilDZHwmDl5LFjtO1SORQGjSBJl+foBEInYaIiIiomqFBYrKnbOtEq89UxsAsHT/DR6FKm+2ttCdP48Dy5YBtrZipyEiIiKqVligqEKM7VwHKrkU52LTcTQqRew4RERERETlggWKKoSngxqvti88CrVkL49CEREREVHVwAJFFWZ817pQyqU4fTsN4Tfvix2n6sjNhTwwEN3feQfIzRU7DREREVG1wgJFFcbLUY1X2tUCACzed0PkNFWIIEBy5Qoc79wBeGSPiIiIqFKxQFGFGt+1LpQyKU5Gp/IoFBERERFZPRYoqlA1nGwwrK0fAGApj0IRERERkZVjgaIK91a3elDIJAi/dR8no1PFjkNEREREVGYsUFThfJ1t8FIbHoUiIiIiIuvHAkWVYkLXepBLJTgalYIzt3kUioiIiIisEwsUVQo/V1sMCaoJAFi8l0ehnopEAqF2beR6eAASidhpiIiIiKoVFiiqNG93rw+5VIIjN1J4LdTTsLWF7sYNhK1eDdjaip2GiIiIqFphgaJK4+dqa7wWauGeaxB4DyMiIiIisjIsUFSp3ulRH0qZFH9Hp+I47wtFRERERFaGBYoqlY+zDV5pXwsAj0KVWV4eZMHB6PKf/wB5eWKnISIiIqpWWKCo0k3sVg8quRRnY9Nx8Fqy2HGsj8EA6ZkzcImKAgwGsdMQERERVSssUFTpPB3VGNXBHwCwMIxHoYiIiIjIerBAkSjGd6kLW6UMl+IysftyothxiIiIiIhKhQWKROFmr8LrHesAAL4Ouw6DgUehiIiIiMjysUCRaMZ1rgsHtRzXErOw82K82HGIiIiIiJ6IBYpE42SrwNhOdQEAX++9Dp2eEyIQERERkWVjgSJRvd7JHy62CtxKzsFvZ+PEjmM1BHd3FDg6ih2DiIiIqNphgSJROagVmNitPoDCo1D5Wr3IiayAnR109+5h14YNgJ2d2GmIiIiIqhUWKBLdiODaqOGkRnxGPn4Ivy12HCIiIiKiR2KBItGpFTK817MhAGDFwShk5mtFTkREREREVDIWKLIIL7T2RX1Pe6TnarHq0C2x41i2vDzIevZEx//+F8jLEzsNERERUbXCAkUWQS6T4j8hjQAAa45GIykrX+REFsxggPTwYbhfvgwYOHMhERERUWVigSKL0bupF1r6OSNPq8eyfVFixyEiIiIiKoYFiiyGRCLBB30aAwB+PhmL2/dzRE5ERERERGSKBYosSnA9N3Rt6AGdQcDCPdfFjkNEREREZIIFiizOtN6F10LtOH8Pl+IyRE5DRERERPQPFiiyOM18nfBcoA8A4PO/rkIQBJETEREREREVYoEiizStdyMoZVIcjUrBoevJYsexOIKtLXQqldgxiIiIiKodiylQK1asgL+/P9RqNdq3b4+TJ08+dv309HS8/fbbqFGjBlQqFRo2bIjQ0NBKSksVzc/VFqM61AYAzAu9Ap2e03Ub2dlBl56OnZs3A3Z2YqchIiIiqlYsokBt3rwZU6dOxaxZs3D27FkEBgaid+/eSEpKKnF9jUaDXr16ISYmBlu3bsW1a9ewevVq+Pr6VnJyqkiTujeAk40C1xOzsfXMXbHjEBERERFZRoFatGgRxo0bhzFjxiAgIAArV66Era0t1q5dW+L6a9euRWpqKrZt24aOHTvC398fXbt2RWBgYCUnp4rkZKvA5GcbAAAWhl1HToFO5EREREREVN3JxQ6g0Whw5swZTJ8+3bhMKpWiZ8+eCA8PL3GbHTt2IDg4GG+//Ta2b98ODw8PvPLKK/jggw8gk8lK3KagoAAFBQXG55mZmQAArVYLrVZbjp+obIoyWEIWSzI8yAffH49GbGoe/ncwCu/0qCd2JPHl50P60kton5ICbefOgIOD2InICvBnDJmLY4bMxTFD5rKkMWNOBtELVEpKCvR6Pby8vEyWe3l54erVqyVuc+vWLezfvx+vvvoqQkNDERUVhYkTJ0Kr1WLWrFklbjN//nzMnj272PI9e/bA1tb26T9IOQkLCxM7gsXp4S7B+lQZVh6KgnvmNTgpxU4kLll+Pgbs3g1vAH+GhUGvVosdiawIf8aQuThmyFwcM2QuSxgzubm5pV5X9AJVFgaDAZ6enli1ahVkMhmCgoIQFxeHL7/88pEFavr06Zg6darxeWZmJvz8/BASEgJHR8fKiv5IWq0WYWFh6NWrFxQKhdhxLEpfQUDE6pOIuJOBS6iNuf2aih1JXDk5xoc9evSAwtlZvCxkNfgzhszFMUPm4pghc1nSmCk6O600RC9Q7u7ukMlkSExMNFmemJgIb2/vErepUaMGFAqFyel6TZo0QUJCAjQaDZTK4ocoVCoVVCVM+6xQKET/C3uYpeWxFDMHBODFb8Ox9Wwc3uhcD428q/Fpaw+ND44XMhfHDJmLY4bMxTFD5rKEMWPO+4s+iYRSqURQUBD27dtnXGYwGLBv3z4EBweXuE3Hjh0RFRUFg+Gfqa2vX7+OGjVqlFieyPoF1XZFv+beMAjA3NArvLkuEREREYlC9AIFAFOnTsXq1avx/fff48qVK5gwYQJycnIwZswYAMDIkSNNJpmYMGECUlNT8e677+L69evYuXMn5s2bh7ffflusj0CV4IM+jaGQSXD4ejIOXCt5insiIiIioook+il8ADBs2DAkJyfj448/RkJCAlq2bIldu3YZJ5aIjY2FVPpP1/Pz88Pu3bvx3nvvoUWLFvD19cW7776LDz74QKyPQJWgtpsdXu9UB/87dAtz/ryCTvU9oJRbxL8BEBEREVE1YREFCgAmTZqESZMmlfjawYMHiy0LDg7GiRMnKjgVWZpJ3evj1zNxuJWSgw3hMRjbua7YkYiIiIioGuE/35NVcVArMK13QwDAkn03cD+74AlbVEF2dtBqNNi+bRtgZyd2GiIiIqJqhQWKrM6QID809XFEVr4Oi8Kuix2HiIiIiKoRFiiyOjKpBLMGFt4L6ueTsbgSX/p5+4mIiIiIngYLFFmldnVc0b95DRgE4NM/IqvXtOb5+ZANH442X3wB5OeLnYaIiIioWmGBIqv1Yd/GUMqlCL91H7svJz55g6pCr4f0t9/ge/w4oNeLnYaIiIioWmGBIqvl52qLNx/Mwjcv9ArytSwTRERERFSxWKDIqk3oVg/ejmrEpuZi1eFbYschIiIioiqOBYqsmp1Kjhn9mwAAVhyIwp3UXJETEREREVFVxgJFVm9gixoIruuGAp0Bn/0ZKXYcIiIiIqrCWKDI6kkkEswe1BQyqQR7IhNx8FqS2JGIiIiIqIpigaIqoaGXA0Z38AcAzP4jEgU6TihBREREROWPBYqqjCk9G8DDQYXolBx8dyRa7DgVx9YW2rQ0/LlpE2BrK3YaIiIiomqFBYqqDAe1AjP6NQYALN8fhbj0PJETVRCJBLCzg16tLnxMRERERJWGBYqqlMEtfdHW3wV5Wj3m7uSEEkRERERUvligqEqRSCSY/VwzSCVA6MUEHL6eLHak8ldQANkbb6DVkiVAQYHYaYiIiIiqFRYoqnICfBwxMtgfADBz+yXka6vYhBI6HaQ//IBaBw4AOp3YaYiIiIiqFRYoqpL+L6QhvBxVuH0/F98ciBI7DhERERFVESxQVCU5qBWYNbApAODbQzcRlZQtciIiIiIiqgpYoKjK6tvMG90aeUCrF/DRtosQBEHsSERERERk5VigqMqSSCT4bFAzqBVSnLiVit/OxokdiYiIiIisHAsUVWl+rraY/GwDAMDc0CtIz9WInIiIiIiIrBkLFFV54zrXRUMve6TmaPD5X1fFjkNEREREVowFiqo8hUyKuc83BwBsOnUHp2JSRU70lGxtoY2Lw1/ffw/Y2oqdhoiIiKhaeaoCpdVqcefOHVy7dg2pqVb+SylVaW39XTGsjR8AYPpvF1Ggs+J7Q0kkgIcHNE5OhY+JiIiIqNKYXaCysrLw7bffomvXrnB0dIS/vz+aNGkCDw8P1K5dG+PGjcOpU6cqIivRU5nerzHc7VWISsrGiv28NxQRERERmc+sArVo0SL4+/tj3bp16NmzJ7Zt24aIiAhcv34d4eHhmDVrFnQ6HUJCQtCnTx/cuHGjonITmc3ZVolPBxXeG+qbgzdxJT5T5ERlVFAA6eTJaPG//wEFBWKnISIiIqpW5OasfOrUKRw+fBhNmzYt8fV27drh9ddfx8qVK7Fu3TocOXIEDRo0KJegROWhbzNv9G7qhd2XE/HBrxfw24QOkMus7FJAnQ6ylStRB4BWpxM7DREREVG1YlaB+vnnn0u1nkqlwltvvVWmQEQVqejeUMdv3seFuxlYeywab3apJ3YsIiIiIrISZf6n9w4dOiAz00pPgaJqzdNRjY/6NwEALAq7jpiUHJETEREREZG1KHOBOnHiBPLz84stz8zMxAcffPBUoYgq2tA2fuhQzw35WgM+/O0CBEEQOxIRERERWQGzC9SQIUPw+eefQyKRICkpqdjrOTk5+Oqrr8olHFFFkUgk+PyFFlArpDhxKxWbTt0ROxIRERERWQGzroECgFq1auHPP/+EIAgIDAyEm5sbAgMDERgYiJYtW+LatWuoUaNGRWQlKle13Gzxn5BGmLPzCubtvILujTzh7aQWOxYRERERWTCzC9SiRYsAAEqlEseOHcO9e/dw7tw5RERE4Pfff4fBYMAXX3xR7kGJKsKYjnXwx4V4nL+Tjo+2XcLqkUGQ8Oa0RERERPQIZheoIjk5OVAoFACAQYMGlVsgosokk0rwxYstMGDZEey9kog/L8RjYKCP2LEez8YG2uvXceDAAXS3sRE7DREREVG1YtY1ULGxscbHReXpceLi4sxPRFTJGnk7YGK3+gCAj7dfQnKWhd+cVioF/P2R5+VV+JiIiIiIKo1Zv321bdsW48ePx6lTpx65TkZGBlavXo1mzZrh119/feqARJXh7e710aSGI9JytZj+20XOykdEREREJTLrFL7IyEjMnTsXvXr1glqtRlBQEHx8fKBWq5GWlobIyEhcvnwZrVu3xhdffIF+/fpVVG6icqWUS7FoaCCeW34Ue68k4tezcRgSVFPsWCXTaCCdPh0Bt24BPXsCpTgaTERERETlw6wjUG5ubli0aBHi4+OxfPlyNGjQACkpKbhx4wYA4NVXX8WZM2cQHh7O8kRWp0kNR0zp2RAAMHvHZdxLzxM50SNotZAtWoQG27YBWq3YaYiIiIiqlTJNImFjY4PevXtjyJAh5Z2HSFTju9TF3iuJOBebjve3XsAPb7TjrHxEREREZFTmK9A7d+6MhISE8sxCJDq5TIqFLwVCrZDiaFQKfvw79skbEREREVG1UeYC1apVK7Rv3x5Xr141WR4REcHT98iq1fWwxwd9GgMA5u28gtv3c0RORERERESWoswFat26dRg9ejQ6deqEo0eP4vr16xg6dCiCgoIgk8nKMyNRpRsV7I9n6roiT6vHf7ach97AWfmIiIiI6CkKFADMnj0bU6dORa9evdCsWTNkZWUhPDwcf/zxR3nlIxKFVCrBl0MCYa+S41RMGtYejRY7EhERERFZgDIXqMTERLz77ruYM2cOAgICoFAoMHr0aLRr16488xGJxs/VFjMHNAEAfLnnGm4kZomciIiIiIjEVuYCVadOHRw+fBhbtmzBmTNn8Ouvv+LNN9/El19+WZ75iEQ1tI0fujfygEZnwJTNESjQ6cWOBNjYQHvuHPYvXQrY2IidhoiIiKhaKXOBWrt2Lc6dO4f+/fsDAPr06YMDBw7g66+/xttvv11uAYnEJJFIsODFFnCxVeDyvUws3HNd7EiAVAo0bYqsWrUKHxMRERFRpSnzb1/Dhw8vtqx169Y4fvw49u/f/1ShiCyJp6MaXwwJBACsOnwLR2+kiJyIiIiIiMRS7v987e/vj+PHj5f3bolE1SvAC6+2rwUAmPpLBFJzNOKF0Wgg/fRTNPr5Z0AjYg4iIiKiaqhCzv9xcXGpiN0Sieqj/gGo72mPpKwCvL/1AgRBpKnNtVrI5sxB482bAa1WnAxERERE1RQvoCAqJRulDEuGt4RSJsXeK4n46e9YsSMRERERUSVjgSIyQ1MfJ7zfpxEAYM7OSE5tTkRERFTNsEARmen1jnXQuYE78rUGTN5kIVObExEREVGlYIEiMpNUKsHClwLhaqfElfhMfLHrmtiRiIiIiKiSsEARlYGnoxpfDmkBAFhzNBqHrieLnIiIiIiIKgMLFFEZPdvECyODawMA/u+XCCRl5ouciIiIiIgqGgsU0VOY0a8JGns7ICVbg3d+Pged3lDxb6pWQ3f8OA59+SWgVlf8+xERERGREQsU0VNQK2RY8Wpr2Cll+Ds6FUv23aj4N5XJILRpg/QGDQCZrOLfj4iIiIiMWKCInlI9D3vMe6E5AGD5gSgc5vVQRERERFUWCxRRORjU0hevtK8FQQDe2xyBxIq8HkqjgXThQtT//XdAo6m49yEiIiKiYligiMrJxwMC0KSGI+7naPDOxgq8HkqrhWz6dDT9/ntAq62Y9yAiIiKiErFAEZUTtUKGb15tDXuVHCdjUvH13utiRyIiIiKicsYCRVSO6rjbYf6D66FWHLiJg9eSRE5EREREROWJBYqonA0M9MFrz9QCAEz95TziM/JETkRERERE5YUFiqgCfNQ/AE19HJGao8Gkjeeg0VXC/aGIiIiIqMKxQBFVgKLroRzUcpy5nYa5OyPFjkRERERE5YAFiqiC1Hazw+JhLQEA34ffxq9n7oobiIiIiIieGgsUUQV6tokX3n22AQBgxu8XcSku4+l3qlZDFxaGo599BqjVT78/IiIiIio1FiiiCvbusw3Qo7EnCnQGjP/hDFJznvLmtzIZhK5dcb95c0AmK5+QRERERFQqLFBEFUwqleDrYS1R280Wcel5mPzzOegNgtixiIiIiKgMWKCIKoGTjQKrRrSBjUKGo1Ep+GrPtbLvTKuF9NtvUSc0FNBqyy8kERERET0RCxRRJWnk7YAvhrQAAHx78Cb+uhhfth1pNJC9+y5arFoFaJ7ydEAiIiIiMgsLFFElGhjog3Gd6wAA/rPlPG4kZomciIiIiIjMwQJFVMk+6NMYwXXdkKPR480fziAjl6fhEREREVkLFiiiSiaXSbH8lVbwdbZBdEoO3t54Flq9QexYRERERFQKFlWgVqxYAX9/f6jVarRv3x4nT54s1XabNm2CRCLB4MGDKzYgUTlxs1dh9cg2sFUWTirx2Z+RYkciIiIiolKwmAK1efNmTJ06FbNmzcLZs2cRGBiI3r17Iykp6bHbxcTE4D//+Q86d+5cSUmJykeAjyO+HtYSALAh/DZ+OHFb3EBERERE9ERysQMUWbRoEcaNG4cxY8YAAFauXImdO3di7dq1+PDDD0vcRq/X49VXX8Xs2bNx5MgRpKenP3L/BQUFKCgoMD7PzMwEAGi1WmgtYCroogyWkIUqT4+Gbvi/nvWxcG8UPtlxGbWcVehQz+3xG2m1UBgfajmVOZUKf8aQuThmyFwcM2QuSxoz5mSQCIIg+h09NRoNbG1tsXXrVpPT8EaNGoX09HRs3769xO1mzZqFCxcu4Pfff8fo0aORnp6Obdu2lbjuJ598gtmzZxdbvnHjRtja2pbHxyAqE0EAfoyS4nSKFLYyAe8118PT5tHrS/R6eJ47BwBIatUKgkxWSUmJiIiIqqbc3Fy88soryMjIgKOj42PXtYgjUCkpKdDr9fDy8jJZ7uXlhatXr5a4zdGjR7FmzRpERESU6j2mT5+OqVOnGp9nZmbCz88PISEhT/wmVQatVouwsDD06tULCoXiyRtQldJTq8dr604j4k4Gfr7riC1vtoejzaPHgbZPH44XMgt/xpC5OGbIXBwzZC5LGjNFZ6eVhkUUKHNlZWVhxIgRWL16Ndzd3Uu1jUqlgkqlKrZcoVCI/hf2MEvLQ5VDoVBg1cg2GLz8GG6l5GLKlotYN7ot5LLHX6bI8ULm4pghc3HMkLk4ZshcljBmzHl/i5hEwt3dHTKZDImJiSbLExMT4e3tXWz9mzdvIiYmBgMHDoRcLodcLseGDRuwY8cOyOVy3Lx5s7KiE5UbTwc1Vo9qAxuFDEdupGDOzislr6jVQrJhA/z27eP1T0RERESVzCIKlFKpRFBQEPbt22dcZjAYsG/fPgQHBxdbv3Hjxrh48SIiIiKMX8899xy6d++OiIgI+Pn5VWZ8onLT1McJXw8LBACsPx6DNUeji6+k0UA+dixaL1sGaDSVnJCIiIioerOYU/imTp2KUaNGoU2bNmjXrh0WL16MnJwc46x8I0eOhK+vL+bPnw+1Wo1mzZqZbO/s7AwAxZYTWZs+zWrgw76N8flfVzFnZyR8ndXo06yG2LGIiIiICBZUoIYNG4bk5GR8/PHHSEhIQMuWLbFr1y7jxBKxsbGQSi3igBlRhRvfpS7upuXixxOxeHdTBDaOUyOotovYsYiIiIiqPYspUAAwadIkTJo0qcTXDh48+Nht169fX/6BiEQikUjwycCmiE/Px76rSRj7/Sn8NrEj6rjbiR2NiIiIqFrjIR0iCyWXSbHslVZo7uuEtFwtxqw7ifvZBU/ekIiIiIgqDAsUkQWzVcqxZnQb1HSxQcz9XIzdcBr5+Q9NHHH8OKDXixeQiIiIqJphgSKycJ4Oaqwf0xZONgqci03HtAlf//Piiy8C/v7Ab7891Xvk5eUhPDwcS5cuxe+///50gYmIiIiqMIu6BoqISlbf0wGraudgxCUJQv3boFOLENQJCUSr5cuAuDhgyBBg61bghReeuC+dTofIyEicOnUKJ0+exPHjx3HlyhXoHxzJateuHZ5//vmK/khEREREVokFisga6PVoP3MyvnKoi8nPvY8P+k7GwFp6tJIsBwQBkEiAKVOAQYMAmcy4mSAIuHXrlrEsnThxAufOnUN+fj4AQC6XQ6fTGdeXyWTo3r17ZX86IiIiIqvBAkVkDY4cAe7exXO4iyR7V8zpMRZ/xMrwTNMeePX0zsISdecOErZvxymFAidPnsTff/+Nv//+G5mZmQAAhUIBrVZrstuHyxMA6PV69OzZs9I+FhEREZG1YYEisgbx8caHY09tg1teJsLqtcMnXcfCLTMV0dfDMRtA4osvAig8sqTX6yEIgnG7f5enkigUCnTs2LHc4xMRERFVFZxEgsga1Khh8vT5S/vxzfbPITfoMXng+4h28UHiQ6/rdDqT8lQaEokEHTp0gI2NTTkEJiIiIqqaWKCIrEHnzkDNmoXXOj3k2VsnoZErsHP0YnxWswFkMhkk/1qntKRSKY4dO4YuXbpg7ty5OHHiRLFT/IiIiIiqOxYoImsgkwFLlhRb/PnebxF8+zxylLb4bdQifLfxV9jY2ED20EQSpaXX66HT6XD06FHMmjULwcHBcHZ2xnPPPYdly5bhypUrZh/VIiIiIqpqWKCIrMULLxROVe7jY1yk0mux6u/1aG5rQKpOgtW3HLBt1z64urqWqUQBhTP3FU1pnpOTg9DQULz77rsICAiAt7c3Ro4ciQ0bNiAuLq5cPhYRERGRNWGBIrImL7wAXLnyz/Nff4XDjStYPzUEdd3tEJeehwWnChB26Bjq169f5hL1sIcno0hKSsLPP/+MUaNGoWbNmqhfvz7eeecdbNu2Denp6U/9XkRERESWjgWKyNo8XIo6dABkMrjZq7DhjXbwdlQjKikb0/ckYPf+I+jQoQOk0vL9z/zh66Ju3ryJlStX4vnnn4erqyuCgoLw3//+FwcOHDDea4qIiIioKmGBIqoiarrY4qdx7eFur0JkfCYm/34dv/0RipdeeumJ25Z14gngn0IlCALOnj2LL774Aj169ICTkxOeffZZLFiwAGfOnDGeFkhERERkzVigiKyNUgndd9/h7DvvAEqlyUv1POzx09j2cLFV4PyddLy18QJWr9uA999//7G7tLGxgaurK4DC2fie5qhVUaHSaDQ4cOAAZsyYgTZt2sDV1RUvvvgiVq5ciaioKE5IQURERFaJBYrI2igUEEaOxJ1nnwUUimIvN/J2wA9vtIeDWo7Tt9Pw5g9nMXvOPKxYsQISiaTY0Sa5XI6XXnoJKSkpuHDhAhYuXIjevXtDrVYDwFNdRyUIAgwGAwAgMzMT27dvx8SJE9GgQQP4+vri9ddfx88//4zExMQn7ImIiIjIMrBAEVVBzXydsOH1drBTyhB+6z7G/3AGb7w5Hr///juUSqVJKdLpdHj22WchkUjQvHlzTJkyBaGhocjMzMTRo0cxc+ZMBAcHG7eRy+VlzvXwhBTx8fH44Ycf8Morr8Db2xtNmjTB1KlTsXPnTmRlZT3dN4CIiIiogrBAEVkbnQ6S0FB4nT4NPOZGt61quWDdmHawUchw6HoyJm08h34DBuLQoUNwcHAwKVHPPvtsse0VCgU6duyIWbNm4fjx40hPT8fOnTsxefJkNGnSxLje0xSqhyekuHr1KpYtW4YBAwbAxcUFHTp0wCeffIKjR49Cq9WW+T2IiIiIyhMLFJG1KSiAfPBgPDNnDlBQ8NhV29VxxXej2kAplyIsMhFTNkcgqE1bnDp1Cn5+fgCA+vXrw+ehe0s9ir29Pfr164eFCxciMjISiYmJ+PnnnzFy5Ejj9hKJ5KlO+SsqVHq9HuHh4ZgzZw46d+4MJycn9O3bF19//TUuXLjA66eIiIhINGX/p2Misgod67vjfyOC8OaG09h5IR4QgMXDW+LkyZN45ZVX0Lt37zLt19PTE8OHD8fw4cMhCAJu3bqFvXv3Yu/evdizZw8yMzMhlUohCEKZC0/RzH15eXnYs2cP9uzZA4PBAFdXV4SEhGD48OEYNGhQmfZNREREVBYsUETVQPdGnvjm1SBM/OkMdl6Mh94gYOnLrRAWFlYu+5dIJKhXrx7q1auH8ePHw2AwICIiAnv37kVYWBiOHDmCgoICyOVyk9P2zFE0GQUApKam4pdffsG+fftYoIiIiKhS8RQ+omqiV4AX/jciCEqZFLsuJ+DtjWeh0RmevGEZSKVStG7dGu+//z7CwsKQkZGBAwcO4IMPPkCbNm2M06Q/zfVTEokEnTp1Kq/IRERERKXCAkVUjfRo7IVVI4OM10RN+PEMCnQVf4NblUqFbt26Yc6cOTh16hTu37+Pbdu2YcKECahfv75xPXMKlcFgQK9evSoiLhEREdEjsUARVTPdGnlizag2UMml2Hc1CeN/OIN8bcWXqIc5Oztj0KBBWLp0KW7cuIG7d+9iw4YNeOWVV+Dp6Qmg8AjT427oKwhCibMHEhEREVUkFiiiaqhzAw+sG90WNgoZDl5LxrgNpyu9RD3M19cXI0aMwPfff4+EhARcuXIFS5cuRf/+/WFvbw+g8Ia+D98E2NvbGw0aNBArMhEREVVTLFBE1kaphH7JElx4801AqSzzbjrUd8e6MW1hq5ThyI0UvL7+FHI1ZZvgoTxJJBI0btwYkyZNwo4dO5CWloYTJ05g9uzZ6Ny5s/E0v759+5oUKiIiIqLKwAJFZG0UChgmTEB0v36AQvFUu3qmrhu+f70d7JQyHL95H6999zcyci3rprVyuRzt27fHf//7Xxw6dAgZGRnYv38/vvjiC7GjERERUTXEAkVUzbX1d8WPY9vDyUaBs7HpGLYqHElZ+WLHeiRbW1t0794d7u7u5bK/+/fvw9PTEzExMaXeZvjw4Vi4cGG5vD8RERFZFxYoImuj10Ny6BDcLl4E9OVz3VKrWi7YPP4ZeDiocDUhC0NXhuNuWm657NvSzZ07F4MGDYK/v3+pt/noo48wd+5cZGRklHueFStWwN/fH2q1Gu3bt8fJkyefuM23336LFi1awNHREY6OjggODsZff/1lsk5cXBy+/vpreHt7w8bGBs2bN8fp06eNr+v1esycORN16tSBjY0N6tWrh88++6zMN0EmIiKqqligiKxNfj7kvXqh08yZQH75HSlq7O2ILeODUdPFBjH3czHk23BEJWWV2/4tUW5uLtasWYM33njDrO2aNWuGevXq4ccffyzXPJs3b8bUqVMxa9YsnD17FoGBgejduzeSkpIeu13NmjXx+eef48yZMzh9+jR69OiBQYMG4fLlywCAtLQ0dOvWDTKZDH/88QciIyOxcOFCuLi4GPexYMECfPvtt1i+fDmuXLmCBQsW4IsvvsCyZcvK9TMSERFZOxYoIjLyd7fD1rc6oL6nPRIy8zH0fydw8W75H2WpLD///DNsbGwQHx9vXDZmzBi0aNECGRkZCA0NhUqlwjPPPGN8fdCgQZBIJCV+7dixw7jewIEDsWnTpnLNu2jRIowbNw5jxoxBQEAAVq5cCVtbW6xdu/ax2w0cOBD9+vVDgwYN0LBhQ8ydOxf29vY4ceIEgMJyVLNmTUyePBlt27ZFnTp1EBISgnr16hn3cfz4cQwaNAj9+/eHv78/hgwZgpCQkFIdASMiIqpOWKCIyIS3kxq/jA9Gi5pOSM3R4OXVJ/D3rftixyqT4cOHo2HDhpg3bx4AYNasWdi7dy/++usvODk54ciRIwgKCjLZZu3atYiPj8eNGzcAAKGhoYiPj0d8fDz69etnXK9du3Y4efIkCgoKir3vvHnzYG9v/9iv2NhYk200Gg3OnDmDnj17GpdJpVL07NkT4eHhpf7Mer0emzZtQk5ODoKDgwEAO3bsQFBQEL744gv4+vqiVatWWL16tcl2HTp0wL59+3D9+nUAwPnz53H06FH07du31O9NRERUHcjFDkBElsfVTomfxrbH2O9P4+/oVIxcexLLXm6FkKbeYkczi0Qiwdy5czFkyBB4e3tj2bJlOHLkCHx9fQEAt2/fho+Pj8k2bm5uAIDw8HBIJBJ07tzZeC+qh/n4+ECj0SAhIQG1a9c2ee2tt97C0KFDH5vt3++bkpICvV4PLy8vk+VeXl64evXqEz/rxYsXERwcjPz8fNjb2+P3339HQEAAAODWrVv43//+hwEDBuDrr79GREQEJk+eDKVSiVGjRgEAPvzwQ2RmZqJx48aQyWTQ6/WYO3cuXn311Se+NxERUXXCAkVEJXJQK/D96+0waeNZ7L2ShLd+PINPBzXDa8/UfvLGFmTAgAEICAjAp59+ij179qBp06bG1/Ly8qBWq0vc7sKFC/D39y+xPAGAjY0NgMLrqP7N1dUVrq6u5ZC+9Bo1aoSIiAhkZGRg69atGDVqFA4dOoSAgAAYDAYEBQVhxIgRaNWqFdq1a4dLly5h5cqVxgL1yy+/4KeffsLGjRvRtGlTREREYMqUKfDx8TGuQ0RERDyFj4geQ62QYeVrQRje1g8GAfho2yV8tfuaVc3MtmvXLly9erXEozvu7u5IS0srcbsLFy6gRYsWj9xvamoqAMDDw6PYa2U5hc/d3R0ymQyJiYkmyxMTE+Ht/eQjf0qlEvXr10dQUBDmz5+PwMBALFmyBABQo0YNNGnSxGT9Jk2amGSYNm0aPvzwQwwfPhzNmzfHiBEj8N5772H+/PlPfG8iIqLqhAWKiB5LLpNi/gvNMaVnAwDA8gNRmLb1ArR6g8jJnuzs2bMYOnQo1qxZg2effRYzZ840eb1Vq1aIjIwscduYmBg0atTokfu+dOkSatasWeL9qN566y1EREQ89uvfp/AplUoEBQVh3759xmUGgwH79u0zXstkDoPBYLw+q2PHjsZrm4pcv37d5NTD3NxcSKWm/0uQyWQwGCz/75mIiKgy8RQ+ImujUEA/fz6uXr2KhgpFpbylRCLBlJ4N4e2oxn+3XcLWM3eRlFWAb19tDTuVZf4YiYmJQf/+/TFjxgy8/PLLqFu3LoKDg3H27Fm0bt0aANC7d29Mnz4daWlpJlN6A4UF5Pbt24iLi4OPjw8kEonJ60eOHEFISEiJ713WU/imTp2KUaNGoU2bNmjXrh0WL16MnJwcjBkzxrjO8uXL8fvvv5sUrenTp6Nv376oVasWsrKysHHjRhw8eBC7d+8GALz33nvo0KEDtmzZgoYNG+LcuXNYtWoVVq1aZdzHwIEDMXfuXNSqVQtNmzbFuXPnsGjRIrz++utmfw4iIqKqjEegiKyNUgnD//0fop5/HlAqK/Wth7erhVUjgqBWSHH4ejKGrzqB5Kzis9CJLTU1FX369MGgQYPw4YcfAgDat2+Pvn37YsaMGcb1mjdvjtatW+OXX34pto/Jkyfj2LFjaNSoUbFTFvPz87Ft2zaMGzeuXHMPGzYMX331FT7++GO0bNkSERER2LVrl8mphykpKbh586bJdklJSRg5ciQaNWqEZ599FqdOncLu3bvRq1cvAEDbtm2xZcsWHDlyBK1atcJnn32GxYsXm0wQsWzZMgwZMgQTJ05EkyZN8J///Afjx4/HZ599Vq6fkYiIyNpJBGu6mKEcZWZmwsnJCRkZGXB0dBQ7DrRaLUJDQ9GvXz8oKumoAlkvscfLudg0vPH9aaTmaODnaoP1Y9qhnkfJky1Yup07d2LatGm4dOlSsVPYHuXbb7/F77//jj179lRwuvIj9pgh68MxQ+bimCFzWdKYMacb8AgUkbXR6yE5fRrON24Aer0oEVrVcsGvEzqglqst7qTm4fkVx3AsKkWULE+rf//+ePPNNxEXF1fqbRQKBZYtW1aBqYiIiMhSsUARWZv8fMg7dEDXadOA/HzRYtRxt8NvEzugdS1nZObrMGrtSfx8MvbJG1qgKVOmwM/Pr9Trjx079rETTBAREVHVxQJFRGXmbq/CxnHP4LlAH+gMAqb/dhFzd0ZCb6iWZwYTERFRNcACRURPRa2QYcnwlnivZ0MAwOoj0Rj/wxnkFOhETkZERERU/ligiOipSSQSvNuzAZa+3ApKuRR7ryTipZXhiM/IEzsaERERUbligSKicvNcoA82vfkM3O2ViIzPxKDlxxBxJ13sWERERETlhgWKiMpV61ou+H1iRzTyckBSVgGG/i8cW07fETsWERERUblggSKicufnaoutE4LRK8ALGp0B07ZewCc7LkOrN4gdjYiIiOipsEARWRuFAvqPPsLVYcMAC75RoYNagf+9FoQpPRsAANYfj8GINX/jfnaByMmIiIiIyo4FisjaKJUwfPwxrr38MqBUip3msaRSCab0bIj/jQiCnVKGE7dS8dzyY7gUlyF2NCIiIqIyYYEiogrXu6k3tr3dEf5utohLz8OQlcexPSJO7FhEREREZmOBIrI2BgNw+TIcYmMLH1uJBl4O2D6pE7o18kC+1oB3N0Xg0z8iodFZz2cgIiIiYoEisjZ5eVC0aoUekycDedZ1nyUnGwXWjGqLid3qAQDWHovG8FW8XxQRERFZDxYoIqpUMqkE7/dpjFUjguCgluNsbDr6Lz2KIzeSxY5GRERE9EQsUEQkipCm3tj5Tmc09XFEao4GI9eexOK916E3CGJHIyIiInokFigiEk0tN1v8OqEDXm5XC4IALN57A6PXnURqjkbsaEREREQlYoEiIlGpFTLMf6E5Fr4UCLVCiiM3UtB/6RGcuZ0qdjQiIiKiYligiMgivBhUE9ve7oi67naIz8jH0P+dwPL9N3hKHxEREVkUFigishiNvR2x451OeL6VL/QGAV/tuY5XvzuBhIx8saMRERERAWCBIrI+CgX0U6fixuDBgEIhdppyZ6+S4+thLbHwpUDYKmU4cSsVfZccxt7IRLGjEREREbFAEVkdpRKGzz9H5OjRgFIpdpoK82JQTfz5Tic083VEWq4WYzecxic7LiNfqxc7GhEREVVjLFBEZLHqetjj1wkdMLZTHQDA+uMxGLziGKKSskRORkRERNUVCxSRtTEYgJgY2CQmFj6u4lRyGT4aEIB1o9vCzU6JqwlZ6L/0KNYejYaBE0wQERFRJWOBIrI2eXlQNGyIkPHjgbw8sdNUmu6NPfHXu53RpaEHCnQGfPpnJEas/Rv30qvP94CIiIjExwJFRFbD01GN78e0xWeDm0GtkOJY1H30XnwY287FQRB4NIqIiIgqHgsUEVkViUSCEc/URujkzgj0c0ZWvg5TNkdg0sZzSMvRiB2PiIiIqjgWKCKySnU97PHrW8GY2qsh5FIJdl6MR+/Fh3HgapLY0YiIiKgKY4EiIqsll0kx+dkG+G1iB9TzsENSVgHGrD+Fqb9EID2XR6OIiIio/LFAEZHVa1HTGTsnd8bYTnUgkQC/nY1Dr68PY8/lBLGjERERURXDAkVEVYJaUTjd+a8TCo9GJWcV4M0fzuCdn88hlddGERERUTlhgSKyNnI59G+9hei+fQG5XOw0Fqd1LRfsnNwZE7rVg0wqwR/n76HXokPYeSFe7GhERERUBbBAEVkblQqGpUtxYfx4QKUSO41FUitk+KBPY/w+sQMaezvgfo4Gb288izc3nEZ8Bu8bRURERGXHAkVEVVaLms7YMakT3n22AeRSCfZEJqLnwkNYdywaegPvG0VERETmY4EisjaCACQnQ5mRUfiYHkspl+K9Xg2xc3JnBNV2QY5Gj9l/ROL5b47hUlyG2PGIiIjIylhUgVqxYgX8/f2hVqvRvn17nDx58pHrrl69Gp07d4aLiwtcXFzQs2fPx65PVGXk5kLh64u+o0YBublip7EajbwdsGV8MOY+3wwOajku3M3AoBXHMHdnJHIKdGLHIyIiIithMQVq8+bNmDp1KmbNmoWzZ88iMDAQvXv3RlJSyTfFPHjwIF5++WUcOHAA4eHh8PPzQ0hICOLi4io5ORFZC6lUglfb18a+qV0xoEUN6A0CVh+JRsjXh7E3MlHseERERGQFLKZALVq0COPGjcOYMWMQEBCAlStXwtbWFmvXri1x/Z9++gkTJ05Ey5Yt0bhxY3z33XcwGAzYt29fJScnImvj6ajG8ldaY92YtvB1tkFceh7GbjiN19efQkxKjtjxiIiIyIJZxBzIGo0GZ86cwfTp043LpFIpevbsifDw8FLtIzc3F1qtFq6uriW+XlBQgIKCAuPzzMxMAIBWq4VWq32K9OWjKIMlZCELp9VCYXyoBThmyqxTXReEvhOMbw5GY+3xGOy/moQjN5IxtpM/JnSpCxulTOyI5YY/Y8hcHDNkLo4ZMpcljRlzMlhEgUpJSYFer4eXl5fJci8vL1y9erVU+/jggw/g4+ODnj17lvj6/PnzMXv27GLL9+zZA1tbW/NDV5CwsDCxI5CFk+XnY8CDx/v374derRY1T1UQAGBac+C3aCmuZkjx7aFobAq/hcH+BgS6CpBIxE5YfvgzhszFMUPm4pghc1nCmMk147pyiyhQT+vzzz/Hpk2bcPDgQagf8cvk9OnTMXXqVOPzzMxM43VTjo6OlRX1kbRaLcLCwtCrVy8oFIonb0DVV84/p5j16NEDCmdn8bJUMaMFAWFXkjDvr2uIS8/HuusydKznhpn9G6Oeh53Y8Z4Kf8aQuThmyFwcM2QuSxozRWenlYZFFCh3d3fIZDIkJppexJ2YmAhvb+/HbvvVV1/h888/x969e9GiRYtHrqdSqaAq4aajCoVC9L+wh1laHrJAD40Pjpfy1z+wJno0qYFvD93EykM3cezmffRffhyvta+FKT0bwsVOKXbEp8IxQ+bimCFzccyQuSxhzJjz/hYxiYRSqURQUJDJBBBFE0IEBwc/crsvvvgCn332GXbt2oU2bdpURlQi8cnlMIwYgdju3QG5RfwbSJVjo5Rhaq+GCHuvC3o28YLeIOD78Nvo+uUBfHfkFjQ6g9gRiYiISCQWUaAAYOrUqVi9ejW+//57XLlyBRMmTEBOTg7GjBkDABg5cqTJJBMLFizAzJkzsXbtWvj7+yMhIQEJCQnIzs4W6yMQVQ6VCvo1a3Du3XeBEo6qUvmp7WaH70a1wcax7dGkhiMy83WYs/MKen19CLsuxUPgjYyJiIiqHYv55+thw4YhOTkZH3/8MRISEtCyZUvs2rXLOLFEbGwspNJ/+t63334LjUaDIUOGmOxn1qxZ+OSTTyozOhFVcR3qu+PPdzrh17N38eXua7h9Pxdv/XgW7eq4Ymb/ADSv6SR2RCIiIqokFlOgAGDSpEmYNGlSia8dPHjQ5HlMTEzFByKyRIIA5ORAlp9f+JgqhUwqwdA2fujfvAb+d+gmVh25hZPRqRi4/CheaO2L/4Q0go+zjdgxiYiIqIJZzCl8RFRKublQuLhgwPDhgBlTblL5sFPJMTWkEfb/Xzc838oXAPDb2Th0++og5u6MRGqORuSEREREVJFYoIiIysDH2QZfD2uJ7W93RLs6rtDoDFh9JBpdvjiAJXtvILtAJ3ZEIiIiqgAsUERETyHQzxmb33wG68e0RVMfR2QX6PD13uvo+sUBrD0ajQKdXuyIREREVI5YoIiInpJEIkG3Rp74Y1InLHu5Feq42+F+jgaf/hmJHl8dwpbTd6A38Ho1IiKiqoAFioionEilEgwM9MGe97pg/gvN4eWoQlx6HqZtvYDeiw9j54V4GFikiIiIrBoLFBFROVPIpHi5XS0cmtYdM/o1hrOtAlFJ2Xh741n0WXIYf5y/xyNSREREVooFioiogqgVMrzZpR4Ov98dU3o2gINajuuJ2Xjn53PovfgwtkfEsUgRERFZGRYoImsjk8HwwguI69ABkMnETkOl4KhWYErPhjj6QQ+817MhHNVyRCVl491NEQj5+hCLFBERkRVhgSKyNmo19Js24fT77wNqtdhpyAxONgq827MBjn7YA//XqyGcbBS4mZyDdzdFoNfXh/D7ubvQ6Q1ixyQiIqLHYIEiIqpkjmoF3nm2AY5+0B3/CWkIZ1sFbiXn4L3N59Htq4PYEB6DPA2nPyciIrJELFBERCJxUCswqUcDHP2gB6b1bgQ3OyXupuXh4+2X0WnBfizbdwMZuVqxYxIREdFDWKCIrE1ODhRKJQYNHgzk5IidhsqBvUqOt7vXx9EPeuDTQU1R08UG93M0WBh2HR0+34c5f0YiPiNP7JhEREQEFigiIotho5RhZLA/Dv6nG5YMb4nG3g7I0ejx3dFodPniAKZtOY+opCyxYxIREVVrcrEDEBGRKblMikEtffFcoA8OXk/GyoM38Xd0KracuYstZ+6iWyMPvNGpDjrVd4dEIhE7LhERUbXCAkVEZKEkEgm6N/JE90aeOBubhpUHbyLsSiIOXkvGwWvJaOBpj9c71cHzrXyhVnBKeyIiosrAU/iIiKxA61ouWDWyDQ78XzeM7uAPO6UMN5KyMf23iwievw9f7b6GxMx8sWMSERFVeSxQRERWxN/dDp881xThM57FR/2bwNfZBmm5Wiw/EIWOn+/HlE3ncP5OutgxiYiIqiyewkdEZIUc1QqM7VwXozv4Y++VRKw5Go1TMWnYFnEP2yLuoUVNJ7zWvjYGBvrARsnT+4iIiMoLCxSRtZHJYOjbF0lJSXCT8Rfj6k4uk6JPsxro06wGLtxNx7pjMdh5IR4X7mbg/bsXMGdnJIYE+WFYkI/YUYmIiKoEFigia6NWQ799O/4ODUU/tVrsNGRBWtR0xtfDWuKj/k3wy+m72HjyNu6k5mHtsWisPRaNhk5SSGsnok9zHyhkPIObiIioLPh/UCKiKsbNXoUJ3erh0H+6Y92Ytni2sSckEuB6hhTvbDqPTgv2Y9Gea7iTmit2VCIiIqvDI1BERFWUVPrPNOjRSZmYu/kQzqWrkZhZgKX7o7B0fxQ61nfD0DZ+6N3Um1OhExERlQILFJG1ycmB3NMT/fV6CAkJgLOz2InICtR0scHAWgYsGdsF+67fxy+n7uBoVAqORd3Hsaj7cLJRYHBLHwxrWwsBPo5ixyUiIrJYLFBEVkiSmws5AK3YQcjqKOVSPBfog+cCfXAnNRdbztzF1tN3cC8jH9+H38b34bfR3NcJQ9v64bkWPnCyVYgdmYiIyKKwQBERVVN+rraY2qsh3n22AY5GpeCXU3ewJzIBF+MycDEuA5/9EYlnm3ji+Va+6NbIE0o5L5slIiJigSIiquZkUgm6NvRA14YeSM3R4Pdzcdhy+g6uJmThr0sJ+OtSAlxsFRjQwgfPt/ZFKz9nSCQSsWMTERGJggWKiIiMXO2UeKNTHbzRqQ4i72Xi93N3sT3iHpKyCvDDidv44cRt1HG3w+CWvni+lS9qudmKHZmIiKhSsUAREVGJAnwcEeATgA/7NsGxqBT8fi4Ouy4lIDolB1/vvY6v915HoJ8zBraogX7Na8DH2UbsyERERBWOBYqIiB5LJpWgS0MPdGnogTmDddgTmYDfzsbhWFQKzt9Jx/k76Ziz8wra1HbBgAdlytORN3kmIqKqiQWKyNpIpTB06YLU+/fhJOVF/VS57FRyPN+qJp5vVRNJWfnYdSkBf56Px6nbqTh9Ow2nb6dh9p+RaOfvigGBPujbzBvu9iqxYxMREZUbFigia2NjA/3evTgWGop+NjxlisTj6aDGyGB/jAz2R0JGPkIvxuPPC/dwNjYdf0en4u/oVMzafgkd6rmjX/Ma6BXgBQ8HlikiIrJuLFBERPTUvJ3UeL1THbzeqQ7upuU+KFPxuHA3A0ejUnA0KgX/3XYRQbVcENLUC72beqO2m53YsYmIiMzGAkVEROWqpost3uxSD292qYfb93Pw54V47L6cgAt3M4yn+c0LvYpGXg7o3dQLIU290dTHkVOjExGRVWCBIrI2OTmQ+/ujj0YD3L4NODuLnYjokWq72eHt7vXxdvf6uJeeh7DIROyJTMCJW6m4lpiFa4lZWLo/Cr7ONugVUHhkqq2/C+QyXt9HRESWiQWKyApJUlKgAqAVOwiRGXycbTCqgz9GdfBHeq4G+68mYfflBBy6noy49DysPx6D9cdj4KiWo0tDD3Rv5IlujTzgxkkoiIjIgrBAERFRpXO2VeKF1jXxQuuayNPoceRGMvZEJmLflUSk5Wrx54XCa6gkEqBFTWf0aOSJHo090dTHEVIpT/UjIiLxsEAREZGobJQyhDT1RkhTb+gNAiLupOHA1WTsv5qEyPhM472mvt57HR4OKnRr6IEejT3RqYE7HNQKseMTEVE1wwJFREQWQyaVIKi2K4Jqu+I/vRshISMfB68lYf/VJByNSkFyVgG2nLmLLWfuQi6VoFUtZ3Ru4IFODdzRwteJ104REVGFY4EiIiKL5e2kxvB2tTC8XS0U6PQ4FZ2G/VeTcOBaEqJTcnAqJg2nYtKwKOw6HNRydKznjk4N3NG5gTunSSciogrBAkVERFZBJZehU4PCgvTxwADE3s/FkahkHL2RgmNRKcjM12HX5QTsupwAAKjlaltYpuq7I7ieG5xtlSJ/AiIiqgpYoIisjVQKQ1AQMjIyYC/l6UpUfdVys8WrbrXxavva0BsEXLibjqM3UnAkKgVnb6chNjUXG/+Oxca/YyGRAE28HfFMXTc8U9cV7eu4wcmW108REZH5WKCIrI2NDfTh4TgcGop+NjZipyGyCDKpBK1quaBVLRe882wDZBfo8Pet+zhyIwVHo1IQlZSNyPhMRMZnYu2xaEgkQECNwkIVXNcNbeu4wsmGhYqIiJ6MBYqIiKoce5UczzbxwrNNvAAASVn5+PtWKk7cuo8Tt+7jZnIOLt/LxOV7mVhztLBQNfVxxDN13NDG3xVt/F3gzvtPERFRCVigiIioyvN0UGNgoA8GBvoAKCxUJx4qVLeSc3ApLhOX4jLx3dFoAEAddzsE1XZBm9ouaOPvinoedpBIeA8qIqLqjgWKyNrk5kIeEIBeubnAjRuAk5PYiYisjqeDGs8F+uC5okKVmY/wW/fxd3QqzsSk4XpSFqJTchCdkoOtZ+4CAFxsFQiq7YKg2oVHqJr7OkGtkIn5MYiISAQsUETWRhAguX0btgC0giB2GqIqwdNRjUEtfTGopS8AICNXi7OxaTh9OxWnY9Jw/m460nK12HslCXuvJAEAlDIpmtd0Qutazgj0c0ZLP2f4OtvwKBURURXHAkVERPQvTrYKdG/sie6NPQEAGp0Bl+9l4MztNJyOKSxWKdkanLmdhjO304zbudsrEVjzn0IVWNOZs/0REVUxLFBERERPoJRLjbP8je0MCIKA2/dzcfp2GiLupOH8nQxcic9ESrYG+64mYd/VJOO2ddztEFjTqbBQ+TmjSQ1HnvpHRGTFWKCIiIjMJJFI4O9uB393OwwJqgkAyNfqERmfiYjYdJy/m47zd9IRcz/XeC3Vtoh7AAC5VIIGXg5o5uOIZr5OaObriCY1HGGr5P+SiYisAX9aExERlQO1QobWtVzQupaLcVlajuZBmcooPFJ1NwOpORpcic/ElfhMbHkwQYVEAtR1tyssVD5OaOrjiKY+Tjz9j4jIArFAERERVRAXOyW6NfJEt0aF11IJgoB7Gfm4FJeBy3EZuHQvE5fvZSAxswA3k3NwMzkH2x8cqQIAP1cbNK3hhMY1HNDY2xGNvR1Qy9UWUiknqiAiEgsLFJG1kUggNGmCrOxs2HC2LyKrIpFI4OtsA19nG/Ru6m1cnpSVj8v3MhF5LxOX4jJw6V4G7qTmGb92XU4wrmujkKGhlz0aef9Tqhp5O8CNN/4lIqoULFBE1sbWFrrz53EgNBT9bG3FTkNE5cDTQQ3PRmp0f3CkCiicSv1yfAYi72XiakIWriZk4kZiNvK0epy/m4HzdzNM9uFur0KTGg5o5OVgLFf1Pe1ho+SEFURE5YkFioiIyAI52SrQoZ47OtRzNy7TGwTE3M/B1fgsXEsoLFbXErMQm5qLlOwCHLlRgCM3Ukz24+tsg/qe9qZfHvZwsVNW9kciIqoSWKCIiIishEwqQT0Pe9TzsEf/FjWMy3MKdLiemIVrCVmFperBEau0XC3i0vMQl56HQ9eTTfblZqdEvYcKVVG5quGk5s2AiYgegwWKyNrk5kLepg26Z2cD3boBTk5iJyIikdmp5Mb7VD3sfnYBopKycTM5B1FJ2YhKzsbNpGzEpefhfo4G96NTcTI61XRfShnqeNihtosttGlSFJy7h3pejqjjbgcXWwXLFRFVeyxQRNZGECC5cgWOALSCIHYaIrJgbvYquNmr0L6um8nynAIdbiXnICo5q7BYPfi6fT8XORo9LsVl4lJcJgAp9vx2ybido1qOOg/uf+XvZmd8XMfNjlOuE1G1wQJFRERUzdip5Ghe0wnNa5oewdbqDbh9PwfRKbm4mZSJw+euQrBzx+37ubiXkY/MfF2JE1gAgIutArXc7ODnYoNarrbwc7WFn4starnaooazGgqZtLI+HhFRhWKBIiIiIgCAQiZFfU8H1Pd0QLcGrqiREYl+/dpAoVAgT6PH7dQcxKQUFqyYlBxE3y98npRVgLRcLdJy03H+Tnqx/UolQA2nomJlAz+XBwXrwXMPexVPDSQiq8ECRURERE9ko5Q9uO+UY7HXcgp0iLmfgzupubiTmofY1FzcScstfJ6WB43OYJzMIvxW8X2rFVL4udjC18UGPg/uk1XDSW187OWohlLOI1hEZBlYoIiIiOip2KnkaOrjhKY+xSe1MRgEJGcX4E5qbmGxSs3DnbTCx3dTcxGfmY98rQE3krJxIym7xP1LJICHvapYuTI+d1bDzU7Jo1hEVClYoIiIiKjCSKUSeDmq4eWoRht/12KvF+j0uJeejzupubiXnlf4lZFv8lijMyApqwBJWQWIKOEUQQBQyaXwclTD21ENT0cVvB+8p5eTGl4OKng7FT5XK3hjYSJ6OixQRNZGIoFQuzbycnOh4L+2EpGVU8llqONeOKNfSQRBwP0czT+FKv1BucrIQ1x6PuLT85CUVYACnQGxD45yPY6jWm4sU4VfqgelS20sXW72Sk56QUSPxAJFZG1sbaG7cQNhoaHoZ2srdhoiogolkUjgbq+Cu70KLWo6l7hOgU6PxIwCJGTmI9Hkq8D4OOHBqYKZ+Tpk5mfjemLJpwsWcbZVwOPB+7o7qAofOyjhbl/42MOh8DWWLaLqhwWKiIiIrJpKLkMtN1vUcnv0PyoJgoDMfB2SHhSrorKV9KBcFZWt5KwC6AwC0nO1SM/VPvK6rIe52CqMJa+obLnZK+Fq968vWyWcbBSQSnn2AJE1Y4EiIiKiKk8ikcDJRgEnGwUaeDk8cj2DQUB6nhYp2QVIySpAcnYBkrMKkJKtQYrxcdGXBnqD8GAK99KVLakEcLFVwuWhUuVip4SbnemfrrZKuNoX/mmj5HVbRJaEBYrI2uTlQda5M7pkZADduwMKhdiJiIiqDKlUYjxi1PAxRQswLVtFxSr5QelKzdYgLVeD+zkapOUU/pmVr4NBAO4/eF5aaoUUzjZKONsqjCXQ2VYB5wdHtIzPbZTGx062Cjio5JyZkKgCsEARWRuDAdIzZ+ACQGswiJ2GiKjaMqdsAYBGZ0B6rgapuRqk5hR+FZUr45+5GqTmaJGaU4DUHA20egH5WgMStIWnGppDJpXAUS0voWgVPna0UcBBLYeD+t9/yuGoVnDGQqJHYIEiIiIiqgRKuRSeD2b8Kw1BEJBdoENajhYZeVqk52mQnlv4OCNPi/RczYM/tUjP0yIj95/18rUGk9MLy5RXJjUWqofLlYNaAcd/lS0HtRw2CgluZwPRKTlwtlfDTimHrVLGo2BU5bBAEREREVkgiUTyoLiYf6p2vlaPzLzCYlVUuooKV1HpyszXIitfhyzjnzpk5muRXaCDIAAavcHs0w0BORZdPPbQZwDslHLYqWQP/ix8bK8qfGyrlMNeJYOdSv7Qsn9et//XcxYysgQsUERERERVjFohg1ohK/XRrocZDAKyNbp/lavCPzPztMjML/5aZr4OmXkaJKdnQyuRI1ejhyAAggBkF+iQXaADUPDUn6uokNkqZbBVFn7Gwsfyhx7LSngsN1luo5TB5qHHtgo5bJQyKGQSFjR6IhYoIiIiIjKSSiVwfHCaHmBT6u20Wi1CQ0PRr19vyGRy5Gn1yNHokFOgR86DEpWr0SH7wfN/lumR/eB54Vfhdtn/el68kJU/mVQCW8WDgvWgZBWWUSnUChlU8sI/1fLCZSqFDGr5gz8ffl0hhUr+z3ZquQwqhdRkO5VcCpVcysJmhVigiIiIiKhcSaWSB6fryYEnz6/xRIIgIE9bVLQKC1i+Vo9cTeHXP49LXp6n1SPvwet5WgPyNDqT5TqDAADQGwRkFeiQVUEF7d8kEhhL18PlTKUoLFdKuRRK2YM/5bIHjyUPLZNCKZP981guhcrkNanJa0rZQ/uVS6GQmS5nmSsdFigiKyS4u0Oj0UAqdhAiIqJKIJFIHpyGVz6F7N80OsO/SlbR48ISVqAzIF+rR77OgIKHn5s8NpR63Qd9DYKAB9tZxqy6CpmkWOlSyKRQSKVQyCXFHsulhYVOIXuwnuyfx/IH+yrpsUJWWNokggEXUiXoodVDYUW3ZbGoArVixQp8+eWXSEhIQGBgIJYtW4Z27do9cv0tW7Zg5syZiImJQYMGDbBgwQL069evEhMTicDODrp797ArNBT97OzETkNERGT1isqCk03F/xIvCELh9PQ6PQqMpauwgBX9ma/VQ6MzQKM3oEBnKHz84Pm/HxeYPNcXW6/gEdtpdAbjkbciWr0ArV6PHI2+wr8P/5Dh9XwdHGwr8S2fksUUqM2bN2Pq1KlYuXIl2rdvj8WLF6N37964du0aPD09i61//PhxvPzyy5g/fz4GDBiAjRs3YvDgwTh79iyaNWsmwicgIiIiIno8iURSeBqeXAqYP8dHuTIYBGNJ0z6inOn0hgfFyvDgy/SxzlC4rlYvPFjXAM1Dj7UGAVpd8cc6g4ACrR7J91OhllvXOTUWU6AWLVqEcePGYcyYMQCAlStXYufOnVi7di0+/PDDYusvWbIEffr0wbRp0wAAn332GcLCwrB8+XKsXLmyUrMTEREREVkbqVQCtVQm2k2TiyYecayEI3/lySIKlEajwZkzZzB9+nTjMqlUip49eyI8PLzEbcLDwzF16lSTZb1798a2bdtKXL+goAAFBf9Mn5mZmQmg8C9Oqy3bDebKU1EGS8hCFi4vD9IBA9AxNRXaTp0AR0exE5EV4M8YMhfHDJmLY4bMZUljxpwMFlGgUlJSoNfr4eXlZbLcy8sLV69eLXGbhISEEtdPSEgocf358+dj9uzZxZbv2bMHtraWc9JlWFiY2BHIwsny8zHgyBG4A/hz717o1SIf/yerwp8xZC6OGTIXxwyZyxLGTG5ubqnXtYgCVRmmT59ucsQqMzMTfn5+CAkJgaMF/Au+VqtFWFgYevXqZVWzkJAIcnKMD3v06AGFs7N4Wchq8GcMmYtjhszFMUPmsqQxU3R2WmlYRIFyd3eHTCZDYmKiyfLExER4e3uXuI23t7dZ66tUKqhUqmLLFQqF6H9hD7O0PGSBHhofHC9kLo4ZMhfHDJmLY4bMZQljxpz3t4gpL5RKJYKCgrBv3z7jMoPBgH379iE4OLjEbYKDg03WBwoP/z1qfSIiIiIioqdlEUegAGDq1KkYNWoU2rRpg3bt2mHx4sXIyckxzso3cuRI+Pr6Yv78+QCAd999F127dsXChQvRv39/bNq0CadPn8aqVavE/BhERERERFSFWUyBGjZsGJKTk/Hxxx8jISEBLVu2xK5du4wTRcTGxkIq/eeAWYcOHbBx40Z89NFHmDFjBho0aIBt27bxHlBERERERFRhLKZAAcCkSZMwadKkEl87ePBgsWUvvfQSXnrppQpORWR5BFtb6PWVeZdwIiIiIgIs5Bqo/2/v/mOqqv84jr8OiODgclVQCEHCaZbVveaPiLIi8+ecy9Vac1roWn80ZAHzj1wFtli49Y9tmrG2Iv9w0pzYFkPnbMGyHAjdhW6xbC1tXL3mFj8uE/hy7veP8u7L19Rzv9/icy48H9vdLh89975w7zlenHM+F0AMUlP1r99/V1NDg5SaajoNAADApEKBAgAAAACHKFAAAAAA4JCr7oEC4MD160p89lkVhkLSypVjPhcKAAAA/ywKFBBvRkeV0NysbEkjbCQBAAAwrriEDwAAAAAcokABAAAAgEMUKAAAAABwiAIFAAAAAA5RoAAAAADAoUm7C18kEpEk9fX1GU7yh5GREQ0ODqqvr09JbEuN2wmHo09H+vqUlMDvQXBn/B+DWDEziBUzg1i5aWZudIIbHeF2Jm2B6u/vlyTl5eUZTgL8H/LzTScAAACYMPr7++X1em/7d6yIk5o1Adm2rZ6eHnk8HlmWZTqO+vr6lJeXp0uXLik9Pd10HLgc84JYMTOIFTODWDEziJWbZiYSiai/v185OTlKuMPVPZP2DFRCQoJyc3NNx7hJenq68QFC/GBeECtmBrFiZhArZgaxcsvM3OnM0w3cPAEAAAAADlGgAAAAAMAhCpRLJCcnq7q6WsnJyaajIA4wL4gVM4NYMTOIFTODWMXrzEzaTSQAAAAAIFacgQIAAAAAhyhQAAAAAOAQBQoAAAAAHKJAAQAAAIBDFCgX2L9/v+6++26lpKSosLBQbW1tpiPBxVpbW7Vx40bl5OTIsiwdO3bMdCS4WG1trZYvXy6Px6PZs2dr06ZN6u7uNh0LLnbgwAH5fL7oB1sWFRWpubnZdCzEiT179siyLJWXl5uOAhfbvXu3LMsa87j33ntNx3KMAmVYQ0ODKisrVV1drc7OTvn9fq1du1ahUMh0NLhUOByW3+/X/v37TUdBHGhpaVFpaanOnDmjkydPamRkRGvWrFE4HDYdDS6Vm5urPXv2qKOjQ2fPntXKlSv1zDPP6Pz586ajweXa29tVV1cnn89nOgriwP33369gMBh9fP3116YjOcY25oYVFhZq+fLl2rdvnyTJtm3l5eWprKxMr7/+uuF0cDvLstTY2KhNmzaZjoI4cfXqVc2ePVstLS164oknTMdBnJg5c6bee+89vfzyy6ajwKUGBga0ZMkSffDBB6qpqdHixYu1d+9e07HgUrt379axY8cUCARMR/mfcAbKoOHhYXV0dGjVqlXRtYSEBK1atUrffvutwWQAJqre3l5Jf/xADNzJ6OioDh8+rHA4rKKiItNx4GKlpaXasGHDmJ9pgNv58ccflZOTo3nz5mnLli26ePGi6UiOTTEdYDL77bffNDo6qqysrDHrWVlZ+uGHHwylAjBR2bat8vJyPfbYY3rggQdMx4GLdXV1qaioSNevX1daWpoaGxu1aNEi07HgUocPH1ZnZ6fa29tNR0GcKCwsVH19vRYuXKhgMKi3335bjz/+uM6dOyePx2M63h1RoABgkigtLdW5c+fi6jpzmLFw4UIFAgH19vbqyJEjKikpUUtLCyUKN7l06ZJee+01nTx5UikpKabjIE6sX78++tzn86mwsFD5+fn67LPP4uJSYQqUQZmZmUpMTNSVK1fGrF+5ckXZ2dmGUgGYiHbs2KEvvvhCra2tys3NNR0HLjd16lTNnz9fkrR06VK1t7fr/fffV11dneFkcJuOjg6FQiEtWbIkujY6OqrW1lbt27dPQ0NDSkxMNJgQ8WD69Om65557dOHCBdNRHOEeKIOmTp2qpUuX6tSpU9E127Z16tQprjUH8LeIRCLasWOHGhsb9eWXX6qgoMB0JMQh27Y1NDRkOgZc6Omnn1ZXV5cCgUD0sWzZMm3ZskWBQIDyBEcGBgb0008/6a677jIdxRHOQBlWWVmpkpISLVu2TA8//LD27t2rcDis7du3m44GlxoYGBjzG5qff/5ZgUBAM2fO1Ny5cw0mgxuVlpbq0KFD+vzzz+XxeHT58mVJktfr1bRp0wyngxvt2rVL69ev19y5c9Xf369Dhw7pq6++0okTJ0xHgwt5PJ6b7qlMTU1VRkYG91rilnbu3KmNGzcqPz9fPT09qq6uVmJiojZv3mw6miMUKMNeeOEFXb16VVVVVbp8+bIWL16s48eP37SxBHDD2bNn9dRTT0W/rqyslCSVlJSovr7eUCq41YEDByRJxcXFY9Y/+eQTbdu2bfwDwfVCoZBeeuklBYNBeb1e+Xw+nThxQqtXrzYdDcAE8euvv2rz5s26du2aZs2apRUrVujMmTOaNWuW6WiO8DlQAAAAAOAQ90ABAAAAgEMUKAAAAABwiAIFAAAAAA5RoAAAAADAIQoUAAAAADhEgQIAAAAAhyhQAAAAAOAQBQoAAAAAHKJAAQAAAIBDFCgAwIRRXFys8vJy0zEAABPYFNMBAABwwrKs2/55dXW1jh49qqSkpHFKNFZFRYV++eUXHT161Mj7AwDGBwUKABAXgsFg9HlDQ4OqqqrU3d0dXUtLS1NaWpqJaJKktrY2bdiwwdj7AwDGB5fwAQDiQnZ2dvTh9XplWdaYtbS0tJsu4SsuLlZZWZnKy8s1Y8YMZWVl6aOPPlI4HNb27dvl8Xg0f/58NTc3R4+xbVu1tbUqKCjQtGnT5Pf7deTIkVvmGh4eVlJSkr755hu98cYbsixLjzzyyD/5TwEAMIgCBQCY0D799FNlZmaqra1NZWVlevXVV/X888/r0UcfVWdnp9asWaMXX3xRg4ODkqTa2lodPHhQH374oc6fP6+Kigpt3bpVLS0tf/n6U6ZM0enTpyVJgUBAwWBQx48fH7fvDwAwvihQAIAJze/3680339SCBQu0a9cupaSkKDMzU6+88ooWLFigqqoqXbt2Td9//72Ghob07rvv6uOPP9batWs1b948bdu2TVu3blVdXd1fvn5CQoJ6enqUkZEhv9+v7OxsTZ8+fXy/SQDAuOEeKADAhObz+aLPExMTlZGRoQcffDC6lpWVJUkKhUK6cOGCBgcHtXr16jGvMTw8rIceeuiW7/Hdd9/J7/f/zckBAG5EgQIATGj/vSufZVlj1m7s7mfbtgYGBiRJTU1NmjNnzpjjkpOTb/kegUCAAgUAkwQFCgCAPy1atEjJycm6ePGinnzyScfHdXV16bnnnvsHkwEA3IICBQDAnzwej3bu3KmKigrZtq0VK1aot7dXp0+fVnp6ukpKSv7yONu21d3drZ6eHqWmpsrr9Y5zcgDAeGETCQAA/sM777yjt956S7W1tbrvvvu0bt06NTU1qaCg4JbH1NTUqL6+XnPmzFFNTc04pgUAjDcrEolETIcAAAAAgHjAGSgAAAAAcIgCBQAAAAAOUaAAAAAAwCEKFAAAAAA4RIECAAAAAIcoUAAAAADgEAUKAAAAAByiQAEAAACAQxQoAAAAAHCIAgUAAAAADlGgAAAAAMChfwOVdHNR5OkEWwAAAABJRU5ErkJggg==", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Parameters\n", - "C = 1\n", - "a = -1\n", - "tau = -1 / a\n", - "\n", - "# Time array\n", - "t = np.linspace(0, 5 * tau, 400)\n", - "\n", - "# Exponential function\n", - "x_t = C * np.exp(a * t)\n", - "\n", - "# Value of x(t) at t = tau\n", - "x_tau = C * np.exp(a * tau)\n", - "\n", - "# Plotting\n", - "plt.figure(figsize=(10, 6))\n", - "plt.plot(t, x_t, label='$x(t) = Ce^{at} = Ce^{\\\\frac{-t}{\\\\tau}}$')\n", - "plt.axvline(x=tau, color='r', linestyle='--', label='$t = \\\\tau$')\n", - "plt.scatter([tau], [x_tau], color='r') # Point at t = tau\n", - "\n", - "# Annotating the point\n", - "plt.annotate(f'$x(\\\\tau) = {x_tau:.3f}$', xy=(tau, x_tau), xytext=(tau + tau * 0.5, x_tau * 0.8),\n", - " arrowprops=dict(facecolor='black', shrink=0.05))\n", - "\n", - "# Adding labels and title\n", - "plt.xlabel('Time $t$')\n", - "plt.ylabel('$x(t)$')\n", - "plt.title('Exponential Decay Function')\n", - "plt.legend()\n", - "plt.grid(True)\n", - "plt.show()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "> → Note that the value of the signal at $t = \\tau$ is equal to $0.368C$; that is, the signal has decayed to $36.8\\%$ of its amplitude after $\\tau$ seconds" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Case 2: $C$ is Complex, $a$ is Imaginary\n", - "\n", - "$$x(t) = Ce^{at}; \\quad C = Ae^{j \\phi} = A \\angle \\phi, \\quad a = j\\omega_0$$\n", - "\n", - "where $C$ is complex, $j$ is the imaginary unit, and $\\omega_0, A, \\phi$ are real numbers. This represents a sinusoidal signal with an exponential amplitude modulation.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "# Define time variable\n", - "t = np.linspace(-2, 2, 400)\n", - "\n", - "# Case 1: C and a real\n", - "C1 = 1\n", - "a1 = 1\n", - "x1 = C1 * np.exp(a1 * t)\n", - "\n", - "# Case 2: C complex, a imaginary\n", - "C2 = 1 + 1j\n", - "omega = np.pi\n", - "x2 = np.abs(C2) * np.exp(1j * omega * t)\n", - "\n", - "# Create subplots\n", - "fig, plt = plt.subplots(figsize=(15, 7))\n", - "\n", - "# Case 1: C and a real\n", - "plt.plot(t, x2.real, label='Real part')\n", - "plt.plot(t, x2.imag, label='Imaginary part')\n", - "plt.set_title('Case 2: C Complex, a Imaginary')\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "> → Harmonocally related complex exponentials are a set of functions with frequencies related by integers of the form $x_k(t) = A_k e^{jk \\omega_0 t}, k = \\pm 1, \\pm 2, \\cdots$" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Case 3: Both $C$ and $a$ are Complex\n", - "\n", - "$$x(t) = Ce^{at}; \\quad C = Ae^{j \\phi} = A \\angle \\phi, \\quad a = \\sigma_0 + j\\omega_0$$\n", - "\n", - "where $A$, $\\phi$, $\\sigma_0$, and $\\omega_0$ are real and constant. This represents a signal that has both exponential growth/decay and oscillatory behavior. We can represent this signal as,\n", - "\n", - "$$x(t) = Ae^{j \\phi}e^{(\\sigma_0 + j\\omega_0)t} = Ae^{\\sigma_0 t}e^{j(\\omega_0 t + \\phi)}$$\n", - "\n", - "$$x(t) = Ae^{\\sigma_0 t}\\cos(\\omega_0 t + \\phi) + jAe^{\\sigma_0 t}\\sin(\\omega_0 t + \\phi)$$\n", - "\n", - "$$x(t) = x_r(t) + jx_i(t)$$\n", - "\n", - "where $r$ stands for *real* and $i$ stands for *imaginary*.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Parameters\n", - "A = 1\n", - "phi = np.pi / 4\n", - "omega_0 = 2 * np.pi\n", - "sigma_neg = -0.5\n", - "sigma_pos = 0.5\n", - "\n", - "# Time array\n", - "t = np.linspace(0, 10, 400)\n", - "\n", - "# Exponential decay with oscillation (sigma < 0)\n", - "x_decay = A * np.exp((sigma_neg + 1j * omega_0) * t)\n", - "x_decay_real = np.real(x_decay * np.exp(1j * phi))\n", - "x_decay_imag = np.imag(x_decay * np.exp(1j * phi))\n", - "envelope_decay = A * np.exp(sigma_neg * t)\n", - "\n", - "# Exponential growth with oscillation (sigma > 0)\n", - "x_growth = A * np.exp((sigma_pos + 1j * omega_0) * t)\n", - "x_growth_real = np.real(x_growth * np.exp(1j * phi))\n", - "x_growth_imag = np.imag(x_growth * np.exp(1j * phi))\n", - "envelope_growth = A * np.exp(sigma_pos * t)\n", - "\n", - "# Plotting\n", - "fig, axs = plt.subplots(1, 2, figsize=(14, 6))\n", - "\n", - "# Plot for sigma < 0\n", - "axs[0].plot(t, x_decay_real, label='$x_r(t)$')\n", - "axs[0].plot(t, x_decay_imag, label='$x_i(t)$')\n", - "axs[0].plot(t, envelope_decay, 'r--', label='$Ae^{\\sigma_0 t}$')\n", - "axs[0].plot(t, -envelope_decay, 'r--')\n", - "axs[0].annotate('$Ae^{\\sigma_0 t}$', xy=(t[-1], envelope_decay[-1]), xytext=(t[-1] - 3, envelope_decay[-1] + 0.5),\n", - " arrowprops=dict(facecolor='black', shrink=0.05))\n", - "axs[0].annotate('$-Ae^{\\sigma_0 t}$', xy=(t[-1], -envelope_decay[-1]), xytext=(t[-1] - 3, -envelope_decay[-1] - 0.5),\n", - " arrowprops=dict(facecolor='black', shrink=0.05))\n", - "axs[0].set_title('Exponential Decay with Oscillation ($\\sigma < 0$)')\n", - "axs[0].set_xlabel('Time $t$')\n", - "axs[0].set_ylabel('$x(t)$')\n", - "axs[0].legend()\n", - "axs[0].grid(True)\n", - "\n", - "# Plot for sigma > 0\n", - "axs[1].plot(t, x_growth_real, label='$x_r(t)$')\n", - "axs[1].plot(t, x_growth_imag, label='$x_i(t)$')\n", - "axs[1].plot(t, envelope_growth, 'r--', label='$Ae^{\\sigma_0 t}$')\n", - "axs[1].plot(t, -envelope_growth, 'r--')\n", - "axs[1].annotate('$Ae^{\\sigma_0 t}$', xy=(t[-1], envelope_growth[-1]), xytext=(t[-1] - 3, envelope_growth[-1] + 0.5),\n", - " arrowprops=dict(facecolor='black', shrink=0.05))\n", - "axs[1].annotate('$-Ae^{\\sigma_0 t}$', xy=(t[-1], -envelope_growth[-1]), xytext=(t[-1] - 3, -envelope_growth[-1] - 0.5),\n", - " arrowprops=dict(facecolor='black', shrink=0.05))\n", - "axs[1].set_title('Exponential Growth with Oscillation ($\\sigma > 0$)')\n", - "axs[1].set_xlabel('Time $t$')\n", - "axs[1].set_ylabel('$x(t)$')\n", - "axs[1].legend()\n", - "axs[1].grid(True)\n", - "\n", - "plt.tight_layout()\n", - "plt.show()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Euler's Relation\n", - "\n", - "This is a relation that is often applied, which is named Euler's relation, given by\n", - "\n", - "$$e^{j\\theta} = \\cos(\\theta) + j\\sin(\\theta)$$\n", - "\n", - "and \n", - "\n", - "$$\\cos(\\theta) = \\frac{e^{j\\theta} + e^{-j\\theta}}{2}$$\n", - "\n", - "$$\\sin(\\theta) = \\frac{e^{j\\theta} - e^{-j\\theta}}{2j}$$" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Summary\n", - "1. **Case 1: $ C $ and $ a $ Real** (Undamped)\n", - " - This scenario illustrates exponential growth or decay depending on the sign of $ a $. If $ a $ is positive, the signal grows exponentially. If $ a $ is negative, the signal decays exponentially.\n", - "\n", - "2. **Case 2: $ C $ Complex, $ a $ Imaginary** (Underdamped)\n", - " - This scenario represents a sinusoidal signal with exponential amplitude modulation. The signal oscillates sinusoidally, and the real and imaginary parts both exhibit this oscillatory behavior.\n", - "\n", - "3. **Case 3: Both $ C $ and $ a $ Complex** (Critically Damped)\n", - " - This scenario combines exponential growth/decay with oscillatory behavior. The signal exhibits both exponential and sinusoidal characteristics in its real and imaginary parts.\n", - "\n", - "By visualizing these cases, you can observe how different values of $ C $ and $ a $ influence the signal's behavior." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Discrete Signals\n", - "\n", - "When working with discrete signals, we often encounter scenarios similar to those in continuous-time signals but in a discrete context. Let's explore the behavior of discrete-time signals through several cases. We'll use Python code examples to illustrate these concepts.\n", - "\n", - "### Discrete-Time Signal Generation\n", - "\n", - "Let's see again an example of discrete-time signal generation. Imagine we use a computer to output a discrete-time sinusoid to generate an audible tone of variable frequency. For this, we need some element able to store a number. Devices such as registers or memory locations can do this for us. Consider a system where we have an ideal time delay (ITD) which receives an input $ x[n] $ and outputs $ x[n-1] $. Every $ T $ seconds, we shift out the number stored in the device, then a different number is shifted into the device and stored. Next, we connect our delay with a multiplication constant $ a $ such that\n", - "\n", - "$$ x[n] = ax[n - 1] $$\n", - "\n", - "Let's solve this equation for some outputs:\n", - "\n", - "$$ x[1] = ax[0] = a $$\n", - "$$ x[2] = ax[1] = a^2 $$\n", - "$$ x[3] = ax[2] = a^3 $$\n", - "$$ \\vdots $$\n", - "$$ x[n] = a^n $$\n", - "\n", - "The system generates the signal $ x[n] = a^n $ for the initial condition $ x[0] = 1 $.\n", - "\n", - "### Characteristics of Discrete Signals\n", - "\n", - "Let's investigate the characteristics of the discrete signal $ x[n] = a^n $. If we let $ a = e^b $, we can express this signal as a discrete-time exponential function. Then,\n", - "\n", - "$$ x[n] = a^n = (e^b)^n = e^{bn} $$\n", - "\n", - "which implies $ x[n] = (e^{\\frac{-T}{\\tau}})^n = a^n $,\n", - "\n", - "where $ \\frac{T}{\\tau} $ is the number of samples per time constant. Therefore,\n", - "\n", - "$$ \\tau = \\frac{-T}{\\ln(a)} $$\n", - "\n", - "For example, if $ x[n] = 0.9^n $, then $ 0.9 = e^b $ implies $ b = \\ln(0.9) = -0.105 $.\n", - "\n", - "For $ x[n] = 0.8^n $:\n", - "\n", - "$$ \\tau = \\frac{T}{\\ln(a)} \\implies \\frac{\\tau}{T} = -\\frac{1}{\\ln(0.8)} \\implies \\tau = 4.48T $$\n", - "\n", - "This means there are 4.478 samples per time constant. Assuming that an exponential decays to a negligible amplitude after four time constants, the signal can be ignored for $ nT > 4\\tau \\approx 18T $, i.e., $ n > 18 $ samples." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Case 1: $ C $ and $ a $ are Real\n", - "\n", - "For $ C $ and $ a $ real, the discrete signal can be represented as:\n", - "\n", - "$$ x[n] = Ce^{an} $$\n", - "\n", - "This represents an exponential growth or decay depending on the sign of $ a $.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Case 1: Discrete exponential signals for different values of 'a'\n", - "\n", - "# Define discrete time variable\n", - "n = np.arange(0, 50)\n", - "\n", - "# Case 1: a > 0\n", - "C1 = 1\n", - "a1 = 0.1\n", - "x1 = C1 * np.exp(a1 * n)\n", - "\n", - "# Case 2: a < 0\n", - "C2 = 1\n", - "a2 = -0.1\n", - "x2 = C2 * np.exp(a2 * n)\n", - "\n", - "# Case 3: a = 0\n", - "C3 = 1\n", - "a3 = 0\n", - "x3 = C3 * np.exp(a3 * n)\n", - "\n", - "# Create subplots\n", - "fig, axs = plt.subplots(1, 3, figsize=(18, 6))\n", - "\n", - "# Case 1: a > 0\n", - "axs[0].stem(n, x1, basefmt=\" \")\n", - "axs[0].set_title('Case 1: $a > 0$')\n", - "axs[0].set_xlabel('n')\n", - "axs[0].set_ylabel('$x[n]$')\n", - "axs[0].grid(True)\n", - "\n", - "# Case 2: a < 0\n", - "axs[1].stem(n, x2, basefmt=\" \")\n", - "axs[1].set_title('Case 2: $a < 0$')\n", - "axs[1].set_xlabel('n')\n", - "axs[1].set_ylabel('$x[n]$')\n", - "axs[1].grid(True)\n", - "\n", - "# Case 3: a = 0\n", - "axs[2].stem(n, x3, basefmt=\" \")\n", - "axs[2].set_title('Case 3: $a = 0$')\n", - "axs[2].set_xlabel('n')\n", - "axs[2].set_ylabel('$x[n]$')\n", - "axs[2].grid(True)\n", - "\n", - "plt.tight_layout()\n", - "plt.show()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Case 2: $ C $ is Complex, $ a $ is Imaginary\n", - "\n", - "For $ C $ complex and $ a $ imaginary:\n", - "\n", - "$$ x[n] = Ce^{an}; \\quad C = Ae^{j \\phi} = A \\angle \\phi, \\quad a = j\\omega_0 $$\n", - "\n", - "where $ C $ is complex, $ j $ is the imaginary unit, and $ \\omega_0 $, $ A $, $ \\phi $ are real numbers. This represents a sinusoidal signal with an exponential amplitude modulation." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Parameters\n", - "A = 1\n", - "phi = np.pi / 4\n", - "omega_0 = 0.1 * np.pi\n", - "n = np.arange(0, 50)\n", - "x_n = A * np.exp(1j * (omega_0 * n + phi))\n", - "\n", - "# Plotting\n", - "plt.figure(figsize=(10, 6))\n", - "plt.stem(n, np.real(x_n), label='$\\\\Re\\\\{x[n]\\\\}$', basefmt=\" \")\n", - "plt.stem(n, np.imag(x_n), label='$\\\\Im\\\\{x[n]\\\\}$', basefmt=\" \", linefmt='r', markerfmt='ro')\n", - "plt.title('Discrete Sinusoidal Signal: $C = Ae^{j \\\\phi}$, $a = j\\\\omega_0$')\n", - "plt.xlabel('n')\n", - "plt.ylabel('$x[n]$')\n", - "plt.legend()\n", - "plt.grid(True)\n", - "plt.show()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Case 3: Both $ C $ and $ a $ are Complex\n", - "\n", - "For both $ C $ and $ a $ complex:\n", - "\n", - "$$ x[n] = Ce^{an}; \\quad C = Ae^{j \\phi} = A \\angle \\phi, \\quad a = \\sigma_0 + j\\omega_0 $$\n", - "\n", - "where $ A $, $ \\phi $, $ \\sigma_0 $, and $ \\omega_0 $ are real and constant. This represents a signal that has both exponential growth/decay and oscillatory behavior. We can represent this signal as:\n", - "\n", - "$$ x[n] = Ae^{j \\phi}e^{(\\sigma_0 + j\\omega_0)n} = Ae^{\\sigma_0 n}e^{j(\\omega_0 n + \\phi)} $$\n", - "\n", - "$$ x[n] = Ae^{\\sigma_0 n}\\cos(\\omega_0 n + \\phi) + jAe^{\\sigma_0 n}\\sin(\\omega_0 n + \\phi) $$\n", - "\n", - "$$ x[n] = x_r[n] + jx_i[n] $$\n", - "\n", - "where $ r $ stands for *real* and $ i $ stands for *imaginary*.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Parameters\n", - "A = 1\n", - "phi = np.pi / 4\n", - "sigma_0 = -0.05 # Decay\n", - "omega_0 = 0.1 * np.pi\n", - "n = np.arange(0, 50)\n", - "x_n = A * np.exp((sigma_0 + 1j * omega_0) * n + 1j * phi)\n", - "\n", - "# Envelope functions\n", - "envelope = A * np.exp(sigma_0 * n)\n", - "\n", - "# Plotting\n", - "plt.figure(figsize=(10, 6))\n", - "plt.stem(n, np.real(x_n), label='$\\\\Re\\\\{x[n]\\\\}$', basefmt=\" \")\n", - "plt.stem(n, np.imag(x_n), label='$\\\\Im\\\\{x[n]\\\\}$', basefmt=\" \", linefmt='r', markerfmt='ro')\n", - "plt.plot(n, envelope, 'r--', label='$Ae^{\\\\sigma_0 n}$')\n", - "plt.plot(n, -envelope, 'r--')\n", - "plt.annotate('$Ae^{\\\\sigma_0 n}$', xy=(n[-1], envelope[-1]), xytext=(n[-1] - 10, envelope[-1] + 0.2),\n", - " arrowprops=dict(facecolor='black', shrink=0.05))\n", - "plt.annotate('$-Ae^{\\\\sigma_0 n}$', xy=(n[-1], -envelope[-1]), xytext=(n[-1] - 10, -envelope[-1] - 0.2),\n", - " arrowprops=dict(facecolor='black', shrink=0.05))\n", - "plt.title('Discrete Exponential and Oscillatory Signal: $C = Ae^{j \\\\phi}$, $a = \\\\sigma_0 + j\\\\omega_0$')\n", - "plt.xlabel('n')\n", - "plt.ylabel('$x[n]$')\n", - "plt.legend()\n", - "plt.grid(True)\n", - "plt.show()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "### Summary Table\n", - "\n", - "| Case | Equation | Description |\n", - "|-----------------------|-------------------------------|-----------------------------------------------------|\n", - "| $ C $ and $ a $ Real | $ x[n] = Ce^{an} $ | Exponential growth/decay |\n", - "| $ C $ Complex, $ a $ Imaginary | $ x[n] = Ce^{an}; \\quad C = Ae^{j \\phi}, \\quad a = j\\omega_0 $ | Sinusoidal signal with exponential amplitude modulation |\n", - "| Both $ C $ and $ a $ Complex | $ x[n] = Ce^{an}; \\quad C = Ae^{j \\phi}, \\quad a = \\sigma_0 + j\\omega_0 $ | Exponential growth/decay with oscillatory behavior |\n", - "\n", - "These examples and explanations illustrate the different types of discrete signals and their characteristics. The Python code provides visualizations to help understand these concepts better." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "torch-gpu", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.13" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_build/html/_sources/discrete-continous-dsp.md b/_build/html/_sources/discrete-continous-dsp.md deleted file mode 100644 index 730f3fe..0000000 --- a/_build/html/_sources/discrete-continous-dsp.md +++ /dev/null @@ -1,29 +0,0 @@ -# Discrete and Continuous Signal Processing - -Signal processing can be broadly categorized into two types based on the nature of the signals being processed: continuous and discrete. - -## Continuous Signal Processing - -Continuous signal processing deals with signals that are defined for every point in time. These signals, often referred to as analog signals, are represented mathematically as functions of a continuous variable (typically time). Examples include audio signals captured by a microphone, electrical signals in circuits, and temperature readings over time. - -Mathematically, a continuous signal is represented as $x(t)$, where $t$ is a continuous variable representing time. These signals are processed using analog techniques, which involve operations such as filtering, modulation, and amplification. - -## Discrete Signal Processing - -Discrete signal processing, on the other hand, deals with signals that are defined only at discrete points in time. These signals, known as digital signals, are obtained by sampling continuous signals at regular intervals. Discrete signal processing techniques are implemented using digital systems, such as computers and digital signal processors (DSPs). - -A discrete sequence $\{ x_n \}$ is a sequence of numbers $\cdots, x_{-2}, x_{-1}, x_{0}, x_{1}, x_{2}, \cdots $, where $x_n$ denotes the $n$-th number in the sequence with $n \in \mathcal{Z}$. This sequence maps integer numbers onto real (or complex) numbers. For simplicity, this notation is often abbreviated as $\{ x_n \}$. - -> → Some authors write $x[n]$ and others $ x(n) $. - -A discrete sequence $\{ x_n \}$ samples a continuous function $x(t)$ as - -$$ -x_n = x(t_s \cdot n) = x\left(\frac{n}{f_s}\right) -$$ - -where $t_s$ is the sampling period and $f_s = \frac{1}{t_s}$ is the sampling frequency. - -## Conclusion - -Both continuous and discrete signal processing have their unique applications and advantages. Continuous signal processing is crucial for handling real-world analog signals, while discrete signal processing is essential for digital systems and modern computational techniques. Understanding the distinction and relationship between these two types of signal processing is fundamental for effectively analyzing and manipulating signals in various domains. diff --git a/_build/html/_sources/even-odd-signal.ipynb b/_build/html/_sources/even-odd-signal.ipynb deleted file mode 100644 index 1727e45..0000000 --- a/_build/html/_sources/even-odd-signal.ipynb +++ /dev/null @@ -1,246 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Even and Odd Signals" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Even Signal Example\n", - "An even signal is symmetric around the vertical axis. A common example of an even signal is the cosine function.\n", - "\n", - "### Mathematical Equation\n", - "$$ x_{\\text{even}}(t) = \\cos(t) $$\n", - "\n", - "### Explanation\n", - "For the cosine function, the property $ \\cos(t) = \\cos(-t) $ holds true, meaning the signal is identical for positive and negative values of $ t $, making it an even signal.\n", - "\n", - "## Odd Signal Example\n", - "An odd signal is anti-symmetric around the vertical axis. A common example of an odd signal is the sine function.\n", - "\n", - "### Mathematical Equation\n", - "$$ x_{\\text{odd}}(t) = \\sin(t) $$\n", - "\n", - "### Explanation\n", - "For the sine function, the property $ \\sin(t) = -\\sin(-t) $ holds true, meaning the signal is the negative of itself for positive and negative values of $ t $, making it an odd signal.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "# Define time variable\n", - "t = np.linspace(-2*np.pi, 2*np.pi, 400)\n", - "# Even signal (cosine wave)\n", - "x_even = np.cos(t)\n", - "# Odd signal (sine wave)\n", - "x_odd = np.sin(t)\n", - "\n", - "# Create subplots\n", - "fig, axs = plt.subplots(1, 2, figsize=(12, 6))\n", - "\n", - "# Even signal plot\n", - "axs[0].plot(t, x_even, label='Even Signal (cos(t))')\n", - "axs[0].set_title('Even Signal')\n", - "axs[0].legend()\n", - "axs[0].grid(True)\n", - "\n", - "# Odd signal plot\n", - "axs[1].plot(t, x_odd, label='Odd Signal (sin(t))')\n", - "axs[1].set_title('Odd Signal')\n", - "axs[1].legend()\n", - "axs[1].grid(True)\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Theory Behind Even and Odd Signals" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "### Even Signal\n", - "An even signal $x(t)$ satisfies the condition:\n", - "\n", - "$$ x(t) = x(-t) $$\n", - "\n", - "This means that the signal is symmetric with respect to the vertical axis. In mathematical terms, for all $t$, the value of the signal at $t$ is the same as the value of the signal at $-t$." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Odd Signal\n", - "\n", - "An odd signal $x(t)$ satisfies the condition:\n", - "\n", - "$$x(t) = -x(-t)$$\n", - "\n", - "This means that the signal is anti-symmetric with respect to the vertical axis. In mathematical terms, for all $t$, the value of the signal at $t$ is the negative of the value of the signal at $-t$.\n", - "\n", - "By visualizing the even and odd signals, we can see the symmetry and anti-symmetry properties, respectively. This helps in understanding how these signals behave and can be used in signal processing applications." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Signal Summation: Even and Odd Components\n", - "\n", - "### Mathematical Equations\n", - "For a given signal $ x(t) $, the even and odd components are defined as:\n", - "\n", - "$$ x_{\\text{even}}(t) = \\frac{1}{2} \\left( x(t) + x(-t) \\right) $$\n", - "$$ x_{\\text{odd}}(t) = \\frac{1}{2} \\left( x(t) - x(-t) \\right) $$\n", - "\n", - "### Explanation\n", - "- **Even Component**: The even component of a signal is symmetric around the vertical axis.\n", - "- **Odd Component**: The odd component of a signal is anti-symmetric around the vertical axis." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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8Pl/arp9ozvr7+7FgwQJs3rwZv/rVr/DGG29gxYoVUs53vDmrrKzEpk2b8J///Adnn302PvroIyxduhRXXHFF2sZPEMOBhDgxKjjzzDOxd+9erF27NuG5DQ0NCAQC2L17d8TjHR0d6O/vlwqZpEKyoj5VSktLZcPEoj3cDQ0N2L17d8wXFg/p4q+JW6Kjr6nkMW9qasJtt92G999/H1u2bIHH48H9998/lJeCuXPnAgDa2tpkj1dWVsJgMMRUjgcg+1iyvPLKK7jiiitw//3348ILL8S3v/1tfOtb34obfhfOUUcdhV/84hdYvXo1PvnkE7S0tODxxx8f8ngIgiCI3PPss8+isrISL7/8csy/yy67DP/+97/hdDpTumZfXx9WrlyJ//mf/8E999yD8847D9/+9rcxfvz4hM/l39M7d+6MeNzj8WD//v3Scf5/9Peiz+dLqhuIElqtFkcffTS8Xi+6u7vjjjH63j09PUOOEly1ahV6enqwfPly3HzzzTjzzDOxePHipMLsARYxcNZZZ+HRRx/F3r17ce211+If//jHsPYNBJEuSIgTo4Lbb78dBQUFuPrqq9HR0RFzfO/evVI7i9NPPx0A8MADD0Sc86c//QkAcMYZZ6R8/4KCAgCxAne4NDU14fPPP4fH45Eee/PNN3Ho0KGI804//XS0t7dHVCH1+Xx46KGHUFhYiAULFgBgX6JqtRqrV6+OeP6jjz4a8bvD4YipgNrU1ISioqKYFm/RyIXzAaHc/OiwO45arcbixYvx2muvobW1VXp8z549w/Kiq9XqmOiFhx56KGFUgdVqjfEKHHXUUVCpVAnngCAIgshfnE4nXn31VZx55pm48MILY/7deOONsNls+M9//pPSdbn3N/o7J3q/IcfixYuh0+nwl7/8JeL5f//73zEwMCDtTebOnYvy8nI88cQTEd9Rzz77bFJiePfu3Th48GDM4/39/Vi7di1KS0sVO5Wceuqp0Gg0eOyxxyIef/jhhxPeVwm5OfN4PDH7EjmiW8KpVCocffTRAEDf00ReQO3LiFFBU1MTnnvuOVxyySWYOnUqLr/8csyYMQMejwefffaZ1MoLAGbOnIkrrrgCf/vb36SQqC+//BJPP/00zj33XKloSyrMmjULarUaf/jDHzAwMAC9Xo9TTjklpm92qlx99dV45ZVXcNppp+Hiiy/G3r178c9//jOiQBnAiqH89a9/xZVXXon169ejsbERr7zyCj799FM88MADUiG74uJiXHTRRXjooYcgCAKamprw5ptvxuRt79q1C6eeeiouvvhiTJs2DRqNBv/+97/R0dGBSy+9NO6YzznnHIwbNw5nnXUWmpqaYLfb8cEHH+CNN97Asccei7POOkvxuXfffTfef/99nHjiibjuuuvg9/vx8MMPY8aMGdi0adOQ5vDMM8/EM888g+LiYkybNg1r167FBx98ENErVY4PP/wQN954Iy666CJMmjQJPp8PzzzzDNRqNS644IIhjYUgCILIPf/5z39gs9lw9tlnyx4//vjjYbFY8Oyzz+KSSy5J+rpms1mqqeL1elFbW4v3338f+/fvT/hci8WCO+64A/fccw9OO+00nH322di5cyceffRRHHvssVLOtE6nw913342bbroJp5xyCi6++GIcOHAAy5cvR1NTU8IIvc2bN+O73/0uli5dipNOOgllZWVoaWnB008/jdbWVjzwwAOK4eRVVVW4+eabcf/99+Pss8/Gaaedhs2bN+Odd95BRUXFkKIDTzjhBJSWluKKK67AT3/6UwiCgGeeeSap9L+rr74avb29OOWUU1BXV4fm5mY89NBDmDVrVsIWsgSRFXJVrp0gcsGuXbvEa665RmxsbBR1Op1YVFQknnjiieJDDz0U0QLD6/WK99xzjzhu3DhRq9WK9fX14h133BFxjiiy9mFnnHFGzH2i24eJoig+8cQT4vjx40W1Wh3RBkupfVl0W6zoFmKc+++/X6ytrRX1er144okniuvWrZO9f0dHh3jVVVeJFRUVok6nE4866qiYa4miKHZ1dYkXXHCBaDKZxNLSUvHaa68Vt2zZEnHv7u5u8YYbbhCnTJkiFhQUiMXFxeK8efPEl156KXbSo3j++efFSy+9VGxqahKNRqNoMBjEadOmiT//+c+lNmocRLUvE0VRXLlypTh79mxRp9OJTU1N4pNPPinedtttosFgiHnuDTfcEHP/6JZvfX190rwUFhaKS5YsEXfs2BFzXnT7sn379ok//OEPxaamJtFgMIhlZWXiokWLxA8++CDhHBAEQRD5y1lnnSUaDAbRbrcrnnPllVeKWq1W7O7ulr6f5Vp6Rn+PHT58WDzvvPPEkpISsbi4WLzooovE1tbWmPOiW4NxHn74YXHKlCmiVqsVq6qqxOuuu07s6+uLue9f/vIXsaGhQdTr9eJxxx0nfvrpp+KcOXPE0047Le5r7+joEH//+9+LCxYsEMeMGSNqNBqxtLRUPOWUU8RXXnkl4ly5Mfp8PvGXv/ylWF1dLRqNRvGUU04Rt2/fLpaXl4s/+clPYp771VdfRVxTro3qp59+Kh5//PGi0WgUa2pqxNtvv1187733Ys6Lbl/2yiuviN/5znfEyspKUafTiWPHjhWvvfZasa2tLe4cEES2EERxmBWlCIIgcsy5556LrVu3xuT1EwRBEATBippZLBacf/75eOKJJ7J67/7+fpSWluI3v/kNfv7zn2f13gSRz1COOEEQRxTRxXF2796Nt99+GwsXLszNgAiCIAgij3C5XDGh2//4xz/Q29ub8e9KuQJ2PAeevqcJIhLyiBMEcUQxZswYXHnllVLf1MceewxutxsbN27ExIkTcz08giAIgsgpq1atwq233oqLLroI5eXl2LBhA/7+979j6tSpWL9+PXQ6XcbuvXz5cixfvhynn346CgsLsWbNGjz//PP4zne+g/feey9j9yWIIxEq1kYQxBHFaaedhueffx7t7e3Q6/WYP38+fve735EIJwiCIAgAjY2NqK+vx1/+8hf09vairKwMl19+OX7/+99nVIQDwNFHHw2NRoP77rsPVqtVKuD2m9/8JqP3JYgjEfKIEwRBEARBEARBEEQWoRxxgiAIgiAIgiAIgsgiJMQJgiAIgiAIgiAIIouMuBzxQCCA1tZWFBUVQRCEXA+HIAiCICCKImw2G2pqaqBSkQ08HdD3PUEQBJFPpPpdP+KEeGtrK+rr63M9DIIgCIKI4dChQ6irq8v1MEYE9H1PEARB5CPJftePOCFeVFQEgE2A2WzO8WgIgiAIArBaraivr5e+o4jhQ9/3BEEQRD6R6nf9iBPiPDzNbDbTFzNBEASRV1AIdfqg73uCIAgiH0n2u54S1QiCIAiCIAiCIAgii5AQJwiCIAiCIAiCIIgsQkKcIAiCIAiCIAiCILIICXGCIAiCIAiCIAiCyCIkxAmCIAiCIAiCIAgii5AQJwiCIAiCIAiCIIgsQkKcIAiCIAiCIAiCILIICXGCIAiCIAiCIAiCyCIkxAmCIAiCIAiCIAgii5AQJwiCIAiCIAiCIIgsQkKcIAiCIAiCIAiCILIICXGCIAiCIAiCIAiCyCIZFeKrV6/GWWedhZqaGgiCgNdeey3hc1atWoVjjjkGer0eEyZMwPLlyzM5RIIgCIIghkGq3/WrVq2CIAgx/9rb27MzYIIgCILIAzIqxO12O2bOnIlHHnkkqfP379+PM844A4sWLcKmTZtwyy234Oqrr8Z7772XyWESBEEQBDFEUv2u5+zcuRNtbW3Sv8rKygyNkCAIgiDyD00mL7506VIsXbo06fMff/xxjBs3Dvfffz8AYOrUqVizZg3+/Oc/Y8mSJZkaJkEQBEEQQyTV73pOZWUlSkpK0j+gFBFFEU6vP6XnGLVqCIIwKsaTaYbyeoH8eg+O5PkH8uv15uN6yDQ0/6OXjArxVFm7di0WL14c8diSJUtwyy23KD7H7XbD7XZLv1ut1kwNL634Aj68sfcNbOzciEmlk3DexPNQoC3I9bBGDaIo4u39b2N9x3rUFNbgksmXoEhXlOthjRpEUcTHhz/Gx4c/hsVowfemfg/F+uJcD2tUsbZ1Ld478B4qjBW4cNKFqC6ozvWQiFHGrFmz4Ha7MWPGDNx999048cQT456fqe97p9ePaXemFnk3t6EUL/9kfto3nqIo4sLH12J9c19ejCfTDPX1Avn1Hhyp8w/k1+vNx/WQaWj+Rzd5JcTb29tRVVUV8VhVVRWsViucTieMRmPMc+69917cc8892RpiWvD4Pbht1W1YdXiV9Njre1/HE99+AiWGkpyNa7QQEAP4n0/+B+/sf0d67F+7/oVnTn8GFcaKHI5sdCCKIn73xe/wws4XpMf+tetfeOq0p9BgbsjhyEYPj216DI9uflT6/eVdL+OxxY9hWvm0HI6KGC2MGTMGjz/+OObOnQu3240nn3wSCxcuxBdffIFjjjlG8Xn59H2/rrkPTq8fJl16t1FOr39Im+BMjSfTDPX1Avn1Hhyp8w/k1+vNx/WQaWj+RzdH/GzdcccdWLZsmfS71WpFfX19DkeUmEc2PYJVh1dBr9bj7Kaz8UHzB9jRuwO/+PQXeOiUh8ialGGe3vo03tn/DjQqDc4afxY+b/schwcP4+aPbsYzS5+BSqBmApnkX7v/hRd2vgABAs5uOhubujah2dqMW1fdiudOfw4GjSHXQxzRrGheIYnwpeOWYnffbuzp34PbVt2GV85+hSJziIwzefJkTJ48Wfr9hBNOwN69e/HnP/8ZzzzzjOLzMvV9b9Sqse1XyaW/OTx+zP3NB8O+ZzKs+8VimHTqvBlPpknm9QL59R6MpPkH8uv15uN6yDQ0/6OPvBLi1dXV6OjoiHiso6MDZrNZ1hsOAHq9Hnq9PhvDSwu7+nZh+dblAIA/nPQHnNpwKi6ZfAkufetSfHz4Y3x48EOc2nBqbgc5gmm3t+PhjQ8DAH4x7xe4YNIFOGQ9hIvfvBhfd32N/+z9D86dcG5uBzmCsXqseGDDAwCAm4+5GT866kfodHTiojcuwu6+3Xhx54u4YvoVuR3kCMbhdeAPX/4BAHDV9KuwbO4y2Dw2XPCfC3B48DD+uvmvWDZ3WYKrEET6Oe6447BmzZq452Tq+14QhLz04ph06rwcV6bIx9ebj2PKJPn0evNpLNkin15zPo1lJJNXrr/58+dj5cqVEY+tWLEC8+fPz9GI0s/fv/k7AmIAp449VRLck8sm46rpVwEAHv/6cYiimMshjmj+/s3f4Ql4cEzlMTh/4vkAgHpzPX589I8BsGgFX8CXyyGOaJZvWY4B9wAmlEyQBHelqRK3HHMLAODJb56E3WvP4QhHNq/ufhUdjg7UFNTg+lnXAwCKdEX4+byfAwBe2PkC+lxDC0sjiOGwadMmjBkzJtfDIAiCIIiskVEhPjg4iE2bNmHTpk0AWHuyTZs24eDBgwBYmNnll18unf+Tn/wE+/btw+23344dO3bg0UcfxUsvvYRbb701k8PMGq2DrXj3wLsAgGuPvjbi2OXTLodBbcCO3h34sv3LXAxvxGP1WPHvPf8GAFw/6/qIFIDvTv0uygxlaLe3Y9WhVbkZ4AjH4/fglV2vAABumHUDNKqQpfWsprMwtmgs+t39eHv/27ka4ojGH/DjuR3PAQB+dNSPIlIATq47GVPLpsLpc+LFnS/maojEEUqq3/UPPPAAXn/9dezZswdbtmzBLbfcgg8//BA33HBDLoZPEARBEDkho0J83bp1mD17NmbPng0AWLZsGWbPno0777wTANDW1iZ9UQPAuHHj8NZbb2HFihWYOXMm7r//fjz55JMjpnXZ63tfR0AMYF71PEwtnxpxrMRQgnMmnAOAFa4i0s87+96B2+/GhJIJOK76uIhjerVe8pC/sOMFuacTw+SD5g/Q5+5DpakSC+sXRhzTqDS4ePLFACCJdSK9fN72OQ7ZDqFIV4Qzx58ZcUwQBPxg2g8AAK/veZ2icoiUSPW73uPx4LbbbsNRRx2FBQsWYPPmzfjggw9w6qmUlkUQBEGMHjIa/L9w4cK4G7rly5fLPmfjxo0ZHFVuEEURb+17CwBw9oSzZc85b8J5eHHni/jo0Eewe+1UNCnNvLbnNQDA+RPPly2Id+GkC/HkN0/iy/Yv0eXogsVkyfIIRzZv7HsDAHDBxAsivOGcs5vOxoMbHsS2nm3Y3bcbE0snZnuIIxoeaXD6uNNh0ppijp869lQUaAtwePAw1nesx9zqudkeInGEkup3/e23347bb789w6MiCIIgiPwmr3LERzLberah2doMo8aIxWMXy54zrXwaGswNcPld+PDgh1ke4cimdbAVW3q2QCWocPq402XPqS2sxdGWoyFCxIrmFVke4cjG6rHi87bPAQCnjTtN9pxSQylOrGF9hD84SBU404nb75Y+U5TWv0lrwncavgMAeO9Aaj2VCYIgCIIgiNQgIZ4leM/wE2tOlPVGASw89LRGJlI+OvRRtoY2KuDzObtyNsqN5YrnLWlgaRDvN7+flXGNFj4+9DF8AR8mlEzA+OLxiufxAoYrm1cqnkOkzhdtX2DQO4gqUxVmVc5SPO/UsWz+Vx1eReHpBEEQBEEQGYSEeJb4+NDHAIAF9Qvinndy3ckAgLWta+ENeDM+rtHCRweZEF9UvyjueVwIburcBJvHlvFxjRY+PszWPxd6SiysWwi1oMbOvp1oGWzJxtBGBasPrwYALKhbAJWg/LE/b8w8GNQGtNvbsbNvZ7aGRxAEQRAEMeogIZ4FOh2d2N67HQIEnFR7UtxzZ1TMQJmhDIPeQWzq3JSdAY5wHF4H1neuB4CYImHR1BbWotHcCL/ox5dtVL0+HfgDfiks/Vu134p7bomhBEdbjgbAjFHE8BFFEWtaWH/mRPNv0BhwfM3xAELinSAIgiAIgkg/JMSzwBdtXwBgOeDxwqIBQCWopDzZT1s+zfjYRgMbOjfAF/ChpqAGY4vGJjz/xFo2/2ta12R6aKOC7b3bMeAeQJG2CDMqZiQ8//gxTAiSEE8PzdZmtAy2QKvSYt6YeQnPP6HmBAAgQxRBEARBEEQGISGeBXhf8OiWWUocN4adt65jXcbGNJr4vJV5Y4+vOV62Wno0XIhwAwoxPLignjdmnmy19Gjm18wHAHzR/gX8AX9GxzYa+KrjKwDATMtMxfoU4XCxvrFzI9x+d0bHRhAEQRAEMVohIZ4FvmpnG+Fjq49N6nx+3tburXB4HRkb12iBG0LmVSf2BgKsoJsAAYdsh9Dp6Mzk0EYFGztZO8Jk22HNqJgBk8aEAfcA9vTvyeTQRgXrO1haRrLzP848DhajBZ6Ah9JjCIIgCIIgMgQJ8QzTNtiGlsEWqAU1jqk6Jqnn1BbWoqagBj7RJ4kYYmg4fU7s6tsFAEnPf5GuCFPKpgAANnRsyNjYRgOiKOLr7q8BMI9sMmhVWulcWv/DQxRFrGtnkTVzq5IT4oIgSMZAWv8EQRAEQRCZgYR4huEiZFLpJBRoC5J+3pyqOQBIiAyXbT3b4Bf9qDRWorqgOunncdHOvYnE0Gi2NmPAPQC9Wo/JpZOTft7sqtkAWH4/MXRaBlvQ4eiARqWRiuAlA29xtqlrU2YGRhAEQRAEMcohIZ5htnRvAQAcVXFUSs/jHsGvu75O+5hGE990fQMAOMqS2vwfU8mE+OauzWkf02iCz9+08mnQqrVJP292JRPiFBo9PPjnx9SyqTBqjEk/b5ZllvT8gBjIxNAIgiAIgiBGNSTEMwwX4slUiw6He6+2dG+hjfAw4BEJqRpCpldMBwDs7t8Nj9+T9nGNFrgQTzYsnXN0xdFQCSq02dsoT38YfNMdNESluP4nlk6EUWPEoHcQe/v3ZmJoBEEQBEEQoxoS4hnEH/BjW882AKkL8YmlE2FQG2Dz2nBg4EAGRjc64B7BVMJyAaCmoAYl+hL4Aj7s7tudiaGNCoYqxE1aE8YXjwcA7OjdkfZxjRb4+k81IkSj0kjinaJyCIIgCIIg0g8J8Qyyf2A/HD4HjBqjJCqSRaPSSF5Z7tUlUqPT0YkORwdUggrTy6en9FxBEDCtfBoAYGvP1kwMb8Rj99qlquepGkIAFk4NQDJmEanh8XuwvXc7ABZhkCp8/ZMhhCAIgiAIIv2QEM8gW3pYWPq08mlQq9QpP58LkZ29O9M6rtECzw9vKmlKqn9yNFyIkBAcGjytYkzBGFSaKlN+/tRytv6392xP99BGBXv698Ab8MKsM6O+qD7l5/POASTECYIgCIIg0g8J8Qwi5YeXpxaWzqGN8PDgkQRD8QYCkLzoJMSHBs9PHoo3HAgZorhXl0gNbsCbXDYZgiCk/Hz++bOzbyf8AX9ax0YQBEEQBDHaISGeQSQhbhmaEJ9cxto97ezbCVEU0zau0cLWbhZSnmqhKg73iFPBtqHB+7dzQZcq/Hlt9jb0ufrSNq7RAp//VNrGhdNoboRBbYDT58Qh26F0Do0gCIIgCGLUQ0I8Q3j8HuzsYx6poXrEm4qboFFpYPPY0GZvS+fwRjyiKIaEYPnQhOCYgjFUsG0Y8DmbVDppSM8v1BVibNFYAOQVHwr882eo869WqTGxdCIAisohCIIgCIJINyTEM8T+gf3wBXwo0hWhtrB2SNfQqrVSkTfKE0+NHlcP+tx9UAkqNBU3DekagiBI4elUsC01PH6PVO1/qEIQoDzxoRJuiOKRNUOBRyWQIYQgCIIgCCK9kBDPELv7mTdwYsnEIeVncqQ88T7ySKUCFyFji8bCoDEM+TpUsG1o7B/YD5/IDFFVpqohX4fniZNHNjU6HB0YcA9ALajRVDI0QxQQlidOhkCCIAiCIIi0QkI8Q+zt3wsAmFAyYVjX4d7EXb27hj2m0cSePtY2a7jzz72J3LBCJAc3hEwqnTQsQ5TkESePbErw+R9XPA56tX7I1wn3iFOdCoIgCIIgiPRBQjxDSEKwdHhCkCqnDw0pIiGY4zpUeFj7vv59JERSIFyIDwe+/putzXB4HcMe12iBe7CHu/4nlk6ESlCh19WLLmdXOoZGEARBEARBgIR4xuBCcNge2WDF48ODhzHoGRz2uEYLvFDYcIVIg7kBGkGDQe8gOhwd6RjaqCBdQrzMUIYyQxkA4ID1wHCHNWrghdqGWjGdY9QY0WhuBEDGQIIgCIIgiHRCQjwDOLwOtAy2ABi+EC8xlEg5tlzcEPHxB/xpSw3QqrUYa2aVu/k1icQMt2J6OOOKxwGg+U+F8B7iw4XnmO8f2D/saxEEQRAEQRAMEuIZgAuGckM5Sg2lw74e9+ruHSAhkgyHBw/D5XdBr9ZL7a+GAxciJASTIzyMebiGECCUHkBCMDlcPhcO2g4CGL5HHIDUuWHfwL5hX4sgCIIgCIJgkBDPAHv605MfzuEeQRIiycHz88cXj4dapR729UiIpAb3htcX1cOkNQ37euNL2PyTISQ5mq3NCIgBmHVmVBgrhn09vv7p84cgCIIgCCJ9kBDPAFyITywZXn4yh4R4auzqZyH8w80P53CvLn9fifhIhqg0eMMBMoSkyn4r+5wYVzxuWBXrOdwQsm+AChYSBEEQBEGkCxLiGSDdQmScmYR4KnCPeLoMIZIQocrpSXFg4ACAkAFpuPDUgEO2Q/D4PWm55kiGf07wImvDpdHcCAECBtwD6HX1puWaBEEQBEEQox0S4hmAC0EuIIYLFzStg61w+VxpueZIhlfX5gJ6uDSaG6EW1LB5beh0dKblmiMZPv/pEoIWowWF2kL4RT+arc1pueZIJt2GEIPGgJrCGgBkDCQIgiAIgkgXJMTTjM1jQ6eTibV0CfEyQxnMOjNEiCREEhAQAzhoZYWqGswNabmmTq1DfVE9ACqYlwxciKdLCAqCEBEeTcRH8ogXN6btmvy9pPknCIIgCIJIDyTE0wwXgeWGchTpitJyTUEQQnniVvJIxaPT0QmX3wWNoEFtYW3arkuV05PD4XWg3d4OIH2GECAsT7yfhGA8RFFMuyEEoIJtBEEQBEEQ6YaE+DBo7rHjpa8OYUvLQOixoMc6nSIEkC/Ytr/bjpfWHcI3hweUnjai6bS58OJXB7H5UL/0GJ+fuqI6aFSatN2LC5FwId7a78RL6w5h48G+tN3nSKJ70I1/rT+ML/eH8oYP2Q4BAIr1xWlp3cfhLczCPbJ9dg9eWncI6w70jsrc/X6HB//eeBirdnZKr7/D0QGnzwmNoJGiONKBXMG8Pju7/ye7u0bl/BMEQRAEQQyH9CmVUcZHOztx/T83wOn1AwDuOmsarjpxHJpt2RHiK7Z14IbnNsDjC0AQgN+eexS+O2/4PbOPFNYd6MUVT30Ju4fN/02nTMBt35ksGULSlZ/M4WG+XGiu2d2N6/65Hja3DwDwP0un4CcL0pOKcCSwp3MQ5z/6Kawu9vq/N28sfnPuDCliI93zL7UwC6YGfH24H9978gvYgvf/0bfG4ZdnTkvrPfOZw30OXPz4WrQOsJoR58yqwf0XzZS84XVFddCqtGm7H59//vlzoNuOCx//DN2DrHje+cfU4v6LZqalSjtBEARBEMRogDziQ8Du9uG/X/4aTq8fWjXbeN7zxjZ8sa9HEoJjzekVxbxy+oGBA2jtd+Knz2+ExxeAWiVAFIFfvr4FB7rtab1nvuLy+nH7K1/D7vHDoGVL+KEP9+C9re0Zi0gYW8Tez2ZrM/rsHtzy4kbY3D7p/f/Duzuwvnl0VJT2+QO48bkNsLp80KjY63/2i4N4dUOLVCgs3UKcr/+D1oMYcLpxw3MbYHP5YNSyPvF/X7MfH+/qSus985llL21G64ALXPe+vqkVT69tzkh+OBCa/zZ7GwZcg7j6H+vQPeiR1v+rG1rw7pb2tN6TIAiCIAhiJENCfAgs/+wAugfdaCg3Yes9p+HCOXUAgN++vR3NA5nxyHKP+AHrAdz79jY4vX7MbSjFjl+fhgWTLPAHRDz80ejoc/3K+sPY122HpUiPL362GNecxObm9+/swH4uBNMsRLhhpcPRgT+u2ILuQQ8mVhZiyz1LcN7sWogi8LfVoyN/+cMdndjRbkOJSYvP7jgF//WdSQDY+t/blxkhOKZwDDSCBm6/G4+s3oBDvU7UlRrx+c9OxZUnsHs9+MGutN4zX1l3oBdf7u+FTq3C6v9ehN+ddxQA4E/v78S2LvYZwIVzuigxlKDMUAYA+NvnX2BP5yAqCnX49H9OwU9PZW0C731nBwIBClEnCIIgCIJIBhLiKSKKIp7/khVku/nUidBpVPh/p01BoV6Drw/3Y2//AQDp94jXFtVCo9LA6XPire07AAB3nz0dWrUKt36bCaHXNrZgwOFN633zkX9tOAwAuPbk8Sg2anHz4kkoK9Bhf7cd27tZ6HK6PeKl+lIUaVnxvX99vRkAcM/Z06HXqHH9QhaS/v62DhzqdaT1vvnIP79g6/+SY+tRWWTATxY0ob7MiF67BxvbmRhOtxDUqDSoLWLF917YtBEAcPtpU1Bs1OL6RU1QqwRsONiP3R22tN43H3nqU2bsOG92LerLTLj02HocXVcMu8ePL1t2AkhvoTYO/5t6YeMGAMBNp0wMvv/jUaTX4GCvA+uaR2e9BIIgCIIgiFQhIZ4iW1qsONznhFGrxtIZYwAAliI9Ljm2HoLaAad/EEAolDldaFVaqfiSoOvCSRMrMKO2GAAwq74Ek6oK4QuI+HBnR1rvm2/s6xrExoP9UKsEnDOLCbNCvQY/+tY4QPCh183CY9MdkSAIgmRc8am6cHRdMeY3lQMAJlYVYf74cogi8N7WkR2e2z3oxie7WQj4d49j86FRq/Djk5sAiOhwshz6dHvEAUjr3yl2YFxFAc44iv39VRYZcMqUSgAsWmIk4/L68dEONv/fO57Nv0ol4JqTWA53qz0YkZPB+bf5OlBRqMOlx7HfTToNlsyoBgC8vqkl7fclCIIgCIIYiZAQT5G3t7QBABZNscCoU0uPf2/eWAi6bgCAxVgFg8aQ9nvXFrAQeJW2RwrH5XxnGtsIv7dlZAvxD7az13fihApYivTS4xfNrYNW3wsIIgxqEyqMFWm/d8gQ0o0r5jdGFKb69rQqAKyI30iGVcgGpo0xo6G8QHr8gmNqUWB0ACo3BKjSWrGbw41bgrYHlx1XD7UqNP9nz6wBgBGfJ752Xw+cXj+qzHocFTTEAcBpM6pRaRYATT+A9EeEAKH1r9J146K59dBrQp9/fP7f3dJOFdQJgiAIgiCSgIR4iqzZzcQ2F76c8ZZCTKhxAgAMYlVG7q3yM3FZUDCAhZMrI44tmc7Gs3p3F3z+QEbunw+s3dsDADh5YqTQriwyYOY4FpZvEqozUr1ZH3xfdYZenDYj8v1fONkCAPhyfy8Gg5XURyKrd7H1f/IkS8TjJp0G8yazdWcUKqBT69J+b5OKzb9a34PzZtdFHDtxAlsPO9pt6LS50n7vfOHD7czQc+rUqog1rlWrsGgGq5KuhhGl+vS1juNYDCwCRdD24uK5kYaW48eXw6BVocfuwe7OwbTfmyAIgiAIYqRBQjwFBt0+bG1lPbuPG1cWc7yhmlUt77cWxxxLB+3dzANZVW6P8AYCwPQaM4oMGjg8fuxoH5l5sj5/AF8dYDmox48vjzk+LmgIcdjTL0IAoK2nEABQXmJFgT6y89+4igKMLTPB6xfx5f6ejNw/14iiiE92cyEeG3Ewpd4NAHA6SuHPQNGuwx0mAEBR4UBENAQAlBXoML3GDCBkrBmJ8J7tJ0+0xByb3sBaiXldpRkxBnX3sfWvM/ZiXEVBxDGdRoU5Dezv7ov9o6N7AEEQBEEQxHAgIZ4CGw/2ISACtSVG1JQYY47rjUwkdvWZ0160y+cPYFcL8zKqdbEbXZVKwDFj2UZ4/QgtmPRNywAG3T4UG7WYNsYcc1xrYAJswFqCvV3p98rtOszEX0ATG/4sCALmNrL533RoIO33zgcO9TrRPeiGVi1IoiscnaEfAOB2lmLDwfSvwU37mfHDp+qSDX/mXvHP941MIW5zebGrkxnZjmkoiT1Bw16331MmRe6kk20Hmcc9oBqA0+eMOT5vHDOOfTFC558gCIIgCCKdkBBPAe6NlfOGA0C7gxWqCngqsCrNucIbD/XDbi8BAPS4W2WFyNyGkS3ENx/qB8Bep0oVG3re6WgFAAQ85VixLb258od6HTjcybyAA95uuHyx4c+z60sAAJuC4xxpbD7cDwCYOsYckR/MaR1khboC3jJ8kIH5392ihSgK8IoudDtjheas4Px/0zIyDSGbDw1AFIG6UiMqi2JrULTw+feUY+WO9H7+BAIiPt3thOhn9z1siy2KNy/4ubjuwMj8/CEIgiAIgkgnJMRT4OugEDlmbEnMMVEUcdDG2joFPBX4MM0b4Y93diHgLQMgwOFzoNcV6xWfM8KF+NZWKwBgeq186P/hQSYORG9Z2oX4ql1dEP0mqEQWHn3IdijmnJlBIbj5UP+ILFjFBe7RdUnM//b0zz+ggU5kXlf+txYOL162s90Gt8+f1vvnAxuDUQY88iUaviZFbxk+2tGZ1p7e29qs6LZ5AG9FxL3CmV5bDEEA2q0udA+603ZvgiAIgiCIkQgJ8RTY3saE4LSa2LDoPncfnD4nBAgQvaX4bG8PXN70iYGPd3UBogZmbfyNMAC09Dsx4Bx5/cS3BIX4DJn59wa8aLez1mEBbxk2HOxLa9Guj3d2AhBQrmfVoeWE4JRqM3QaFQacXhzoGXn9xHlEwtF1JbLH+ZpU+cqxr8uOfWlMD/h4J0sHqDKxgmEHrbHzX1dqRLFRC69fxK72kVcw7OugIYQbfKLh828QK9Fj90gRDOngo6BhscJQE3GvcAr1GjQGK+nzz0qCIAiCIAhCHhLiSdJr96DDyrw8k6tjhSAP1aw0VaLGXAi3L5C2olFdNrfkjRxXzFo4yW2Ei41a1BSz0NFdHSOrYJvb58fu4GuS84i329vhF/3Qq/U4qroWohiqMJ2Oe38WfC8nljUCkBeCOo0KU6uLAAA7RpgQEUVRikiQ84jbPDb0u/sBAHNqJwIAVqZp/j2+ANbuZaHoUyrGAZBf/4IgSF7xkRiezv+mp44pijnmD/il0PTjxrL5T2dUDm/LN7m8EYD8/AOQajdsax1Z658gCIIgCCLdkBBPEu7hGVtmQmFUxWwglJ9ZW1iLhVNYa7F09ZT+ZDfzBk6vMaOplPUHlsvRBIDJI1QI7mofhC8gotQUMjaEw+ejtrAWp04ZAwBYtTM9PaW/2t8Hh8ePyiI9ZljGR9wvmolVbP53dYwsj2zrgAuDbh+0agFNlsKY43z9lxnKsGQqMxZ9kKbw9A0H+2D3+FFeoMPMqgkA5CMSAGB6LROCI80j6/D4cDBYAHJyVawQ73J2wRvwQiNocNqUKQDSZwjptXuwMRgNMX/sZADyhiggFC20bYTNP0EQBEEQRLohIZ4kfGMv540CQsKsrqgOpwR7fH+4ozMtucIf72KCcuFkC+qLWP9eJY/UlKBHaqS1MOPewMnVRbI9wnl+cl1RndTT+9M93fCmoac6L7y3YJIFdUWsfzUXntFMqmIilVe3HinsCfaGbiwvgFYd+7HB12NdYZ3U4359c19a2mjx9X/SxAo0mJnIVxKCEyuLIsY7UtjTOQhRBCoKdSgv1Mcc5/NfU1iDU6eMgSAwMdw+MPz0jE92d0EUWZG+GZXjI+4XDXnECYIgCIIgkoOEeJKEhGBsWDoQEmZ1hXU4YUI5dGoVDvc5sbfLPqz7+gMiVgeFyIJJlZIQVBTi3CM+woQ4b0c2oTLWGwsALbZQRMJRtcUoK9DB5vZhQxoK162SDCGVqC1kOcpKQpx7xHePsNQA/nomVsnPvxSRUFSLxooCNJSb4AuIaUnPkNb/5MSGEL4+9mSgfV0u2Rn8e54k4w0HQp8H9UX1KCvQYWYwj5/P3XDg+eGLJlswNmgIabO3wRuIrUPB5/9Ajz0jveQJgiAIgiBGCiTEk2R/NxPUTZYC2ePcI1tbVAuTToNjx7HKxjysfKh80zKAPocXRXoNZo8tSegR5xv1keYR3NfF519BCHKPeGEdVCoBJ09kRe1WDVOIHO5zYE/nINQqAd+aWIGaQlasqnWwFQEx1tvO539/tz0t3vh8ga+nCZUJIkIKmVA+eSKLShiuEOyyuaXc9JMmWqT5t3qssHlijR3877PL5h5RBQu5ITCREOeGigWT2Px/PMzPH39AlCISFk2phMVogUFtgF/0o22wLeb82hIj9BoVvH4Rh/tGXsFCgiAIgiCIdEFCPEm4EB9fkcAjGPSYpkuI8GrR35pYAa1aJQnxHlcPHN7YjS6vWjzg9KLP7hnWvfMJ7hEfryTEw1IDAEjh0cPNE+ci5JixJSg2alFdUA21oIYn4JHtZV1TbECBTg2vX0Rzz/CiIfKJ3UEhPlEhIoEbQvj6lITgMNd/eH2EikI9CrQFKNGXAGDGkGiKDFpUmVno9t4R5BWXDIFK82+LnP+Tg/O/Znc3fMMwCG061I8+hxdmgwaz60sgCIJkDJGLSlCpBIyrYJ9B+4YZDUQQBEEQBDGSISGeBFaXF92DTNQ2VphijvsCPql1FvcInhQU4p/v6x1WT+OPd4XykwHArDOjWM8qQ8t5xY06NarNrJjZ/hEiBH3+AA70xI9IkFIDivj8V0AQWG5/h3XoebJcyPP516g0qC6ojrhnOIIgYFxwjAe6R45HMFFqQLRHdn5TObRqAQd7HTjQPfR1+PGuyPkHkDA9QApPH0FRIVyIjyuXX//R8z+zrhjFRi0GnF5sPjz0CvK8PsLJkyzQBGsDhEeFyMGF+EgyhBAEQRAEQaQbEuJJwIWEpUiPIoM25niHowN+0Q+dSgeLiQmGqWOKYCnSw+n1Y/2BoeUp9zs82BSsVnyyjBBps8eGhgIhY8FI8cge7nPC6xdh0KpQU2yMOR7eOosbQsoL9Tg62MpqqF5Zjy+Az/Ywrzf3sAOJhWBDWVCIj5D5H3B40e9gYd4N5fKGKB6mzD2yBXoN5jSw9Iyhzn8gIOKT3Wz+w9d/IiHI0xdGikfWHxBxqNcJQH7+gcjUDADQqFX4VjA9YzhRCbzzw6IU1v/4oCFq3zAMMARBEARBECMdEuJJIHmjKhTyw4NhoTWFNVAJbEoFQcBJfCM8xDzNT3Z3IyCyStw1JSEBWlOQnEdq/wjxyPL5bywvgEoVWzE9vHWWSRsSKguC4uHjIYanrzvQC7vHj4pCvVQNGggJQV4gLpqxQbHE200d6fDXYSnSw6SLbd3X4eiAT/RBq9LCYgwJ5gWT2PwPNT1ja6sVvXYPCvUaHDO2VHo8kRAcW8bm/9AIyVFuG3DC4w9AqxYiPgc4dq8dA27m9eZzA4SiCIY6/51WF7a0sPz8BZNlDCF2+c8fnr6zjzziBEEQBEEQipAQTwLuWRuvIMSlHuJFtRGPh/LEY3OJk+HjsGrd4STyCPI88eGEBOcTXFDVlyl4A6MKhXG4EPlkd9eQ8mRXhYVFhxsAEnvEeUTCyBCCzb1sHY1VmH9ukKgprIFapZYeP3kSM0St3dczpPQMnpYxv6kcOk3ooyppIT5CDCF8HdWXmaCWMUTxzwGzzoxCXSh1gH/+bD7cP6R6EXz9z6wrRkVYy7SEnz8VfP6dKd+TIAiCIAhitEBCPAm4EByrFBaqIAR5aOj2Nis6banlKQfCqhWH58cCiT1SjRUjKzSaC6r6UgUhyA0hhZGGkFn1JSgxaWF1+aQQ/1Tg+bELJ0fOf0IhOEI94g0KQpyvwzEFYyIenzbGDEuRHg7P0NIzuAHrZKX1ryAEucFmpMw//ztuVMgP5ykqfF441cUGTKkugigCn+xJ3RgYWv+RhsDagvjrn/+dtg04R1TnAEKZ1atX46yzzkJNTQ0EQcBrr72W8DmrVq3CMcccA71ejwkTJmD58uUZHydBEARB5BMkxJPgcB/z7NQpCMHo/ExORaEeM2pZSPOa3althLe3W9Flc8OkU2NuY2nEsUSh6dwjyMd9pMM9a/VlsWG5QGQP63DUKkEqmpdq9fTWfid2dQxCJUBKMeAk6mXNBdOhXsewKlbnCwd74kckKAnB4aRnDDi9WH+QifcFE5UNIaIY26uaj7Pf4YXVdeS3MOMecaX8cP45wD8XwpGq16e4/r3+AD4JGkIWTZGPyOlydMHrj53fikI9dBoVAiLQ1j/0QonEkYPdbsfMmTPxyCOPJHX+/v37ccYZZ2DRokXYtGkTbrnlFlx99dV47733MjxSgiAIgsgfYhM+iRhaJCEuLwSVQtMBVj19S4sVq3d14fxj6mKOK8G94Sc0lUOvUUccS+QRrA2Os9fugcPjk83rPZKQQtMVDCG8Yn20RxZgQuSNza34eFcX/mvJ5KTvyYtUMa+6LuIYFzzt9nb4Aj5oVJHzW202QKdRweMLoG3ApShgjxQkj7iCEOTzz6vJh7NgkgWvbmjB6l3duGNp8vf8eFcX/AERTZaCmEgUvv4HvYOweqxSFwFOoV6D8gIdeuweHOp1YHpN5PEjjcMJ1r8kxAvlhfhfV+/D6t1dEEURghAb2i7H+uY+2Nw+lBfopKKHnDJDGQxqA1x+F9rt7ag310ccV6kE1JUasa/LjsN9DsVIImLksHTpUixdmvwf+OOPP45x48bh/vvvBwBMnToVa9aswZ///GcsWbIkU8NURBRFOH3JGa6dPj8geII/OwFBneAZqZHq9aXzxdhCskcOIiB4k57PfHoPRsb8A8m+B/k09zHPOaLfA5r/0cqRrdCygNcfQNtAUIjLFEoC4m+ET55owWOr9mL17m74A6JsjqccK7dHti0LZ0whE5x97j44vI6IAmUAYDZoUWTQwObyoaXPiYlVRUndM1+RQtMTeGSVhDgAfNMygC6bG5Yifcw5cqzY1gEAWDytKuaYxWSBTqWDJ+BBh6MjJiRepRJQW2LE/m47WvqdI0aIK+WIx/PIfmtCqI1cp9WFymBrvUSs3K48/0aNEWWGMvS6etE62BojxAG2VkaKEG8JepVrFQyBSqkBADCnsRRGrRpdNje2t9kwrcYcc44c3BAVXR8BgNRLfN/APrTYW2KEOMCih/Z12UdMwTwivaxduxaLFy+OeGzJkiW45ZZb4j7P7XbD7XZLv1ut1rSMx+lzYt5z85I+v2gK+3/hy3em5f7DvX7RFMDnaIAoZt+IMVxEUYSp4XGoTc0pzWc+vQdH8vwDqb8H+TT34c85Ut8Dmv/RDYWmJ6B9wIWACOg0qoiCRRyP34NuJwvhlBMicxtLYTZo0Gv3YH1zcnmynTYXNgTDcr89LdbLaNaZUaRl4lqphVlt0GhwuP/IDk8fcHhhdfkAKEckxBPilqJQekCy1aMH3T58tqcHAPDtqbFCUCWoElZOrylhgrP1CJ9/f0BE20B8IRgvIqG8UI+jgh7V1UmmZ/j8ASmVYLHM/AOJ8/TrpYJtR/b8A6GInFoFQyBvHRdtEAIAvUaNE5rKASTfxkwURazYygwhC6PC0jkJ8/SDa2WkpMcQ6aW9vR1VVZF/21VVVbBarXA6ldfMvffei+LiYulffX2sEWi0ojE1w+U/8lJBXH4X1KbmXA9j2Byp8w/Qe5BraP5HN+QRT4CUH15ilG2dxUWIQW1Aib4k5rhWrcLiqVV4dWML3t3SjuPGlSW854ptHRBFYGZ9CaqL5T2INYU12Nm3E62DrWgqaYo5XldqxI52m7SJP1LhHrXyAh0K9LHL1e61w+phXhG50GiAefW2tFjx8a4uXDAncXrA6l1d8PgDaCw3YUJloew5NYU1OGA9oCgEeb/zI12Id9ncUiRHZVHsWhRFMWQIKYwV4gCb/68PD2Dl9g5cmMT8r2vuw4DTi1KTNqJtWTi1hbX4pvsbxfnnorXlCJ9/l9eP7kHmAVQS4nwOFOd/sgUrd3Ti412duG5h7GdFNLs6BrGv2w6dRoVTFIR4IkMIr6dBQpxIJ3fccQeWLVsm/W61WtMixo0aI7747hdJnev0+jHn1x8AANb/cjGM2jSHhqZ4/V7nIJb++9S0jiFXvHPeSpQZ5b9zw8mn92AkzT+Q+D3Ip7nnjKT3gOZ/9EFCPAE8P1PJGxguQpTyL5fMqMarG1vw3tZ2/PLMqQnzNN8LeqO+IxOWyxlTOEYS4nKMFCHCvbFy/ZOBkCGkSFcU0bopnIWTK/HIR3uxendXUukBPCz929OqFN8r7hFUikiokeb/yLYOtgbTMqrNBtl563X1wu13Q4CAKpP8ev3OtGo89OEerNrZBZfXD0OCD3Yelr5ocqXie5XIIzsmaMDiaSVHKnz9G7VqlJhi869cPhd6XCx6Q84jDgALJ1UC2IqvDvShz+5BaYFO9jzOO1vYmj55YgUKZYxfQOL559ErI6WFHJFeqqur0dHREfFYR0cHzGYzjEb5z3oA0Ov10OuTSy9KBUEQYlK8FBF9gMj+howaI0zaNG+jUry+05t6a8h8hb3eJN6HPHoPRtL8A0m8B3k095yR9B7Q/I8+KDQ9AVzIKoVF842oXFgu5+SJFhi1arT0O7GlJX5Om9Xlxdq9LIR3yXR5Dy8Q2nQrtTAbKR6p9qCQGqMQGZDM/M+uL0GRQYN+h1cK+VfC5w/gwx0sP1YuLYDD75coNeBIF4Lco89D7aPhr7/CWAGdWl7gzag1o7bECKfXnzA9QBRFfBCsj3CqQlg6kNgjy9dL+8ARbggJzn9tqVHWKMTn36QxwayTz/8eW27CtDFm+AOiZGSKx7tbmHHrtBnKf1OJhHiNtP6P7PknMsP8+fOxcuXKiMdWrFiB+fPn52hEBEEQBJF9SIgngG/kxxSnnh/LMerUUi/q97a2x73fRzs64fWzatFKYdHh90tUOb3lCC+W1CrNf3whGG/+NWqVlOv9xmb5+eJ8sb8XA04vygp0mNMgHxYNhMLg+fsfDRciR3poOm8/pbT+E4WlA8zb9J3pbP7f/FrecMHZ2mrF/m479BoVTp5UoXheIkOINP9HuBDkqSVKESE8P7ymsCZupM3pR7H1+tY38ed/f7cdO9pt0KgE2foInES9xPnfa4fVhUAgtsUcMbIYHBzEpk2bsGnTJgCsPdmmTZtw8OBBACyk/PLLL5fO/8lPfoJ9+/bh9ttvx44dO/Doo4/ipZdewq233pqL4RMEQRBETiAhngDu0alWqPYcr2JxOKfNCG2E5Xofc97YzDbK8bzhQJhHXEGIV0sbYbfs8SMFbgipHoYhBADOnsU8eG9/0xa3t/erG5iwWDK9Om4Ie7UpvhAfE/Qgt/Q5477f+Q4PTR+j5BEfTGwIAYBzZrH1+v62dgy6fYrnvbaRzf/iqVUoMii3wkgkxLkQ7B50w+M7cnu584icWoX5558/ch0bwjn9KDZfa/Z0o9OmbJzgYenzm8pRLBMKz+H363R0yvYStxTpIQiALyCix+6JOzbiyGfdunWYPXs2Zs+eDQBYtmwZZs+ejTvvZFV329raJFEOAOPGjcNbb72FFStWYObMmbj//vvx5JNP5qR1GUEQBEHkChLiCeiwciEY3yObaCN86tQqmHRq7O+246sD8uHRnVaX1Dbo/GPk8z053AOpFJrODQdHukeKh3YnCo2O55EFgBMnVKC8QIfuQQ8+2ikfHu3w+CQhcuGcBPMfFILt9nZZoc2Ltdk9flidysIz35FCo5U8snz9y3QMCGdmXTHGVxTA5Q3gHQWvrNcfwOvBiIVzZsW/Ho9IsHlscHhjoz7KCnTQa1QQxdDf8JFIooicZFIzAGC8pRDHjC2BPyBKxo5oRFHEy+sOAwDOPDr+9coMZdCr9RAhosMRG+6uVatgCXaZONLTA4jELFy4EKIoxvxbvnw5AGD58uVYtWpVzHM2btwIt9uNvXv34sorr8z6uAmCIAgil5AQT4DkEVcQ4twjqlSxm1Oo1+Cso5m4eP7Lg7LnvLz+MPwBEceMLcGEyvi9v3loaLezGy5f7EZ3pHikEkUkJBOaDjBhwCt2//Nz+TYRr25ogcPjR2O5SbFaN6eqgIXtuvwuDLgHYo4bdWqUBj2K7UewEGxLIAT5/Cda/4IgSBXrn/m8WdZ48d7WdqnX+8LJ8tW6OYW6QhRqWeqGXFSCIAiSV/xITg/osCUXkaNUqC2ci+ay6tLPf3kIfhnj3Nq9PdjfbUehXoMzj45vCBGEUHE+xaiQEVIwjyAIgiAIIhNkRYg/8sgjaGxshMFgwLx58/Dll18qnrt8+XIIghDxz2CQ34RmGqfHjwEnC7usktkIB8RA0qG5APDdeWMBAG9+3RpTzdzl9eP/Pj0AAPjevIaE1yrWF8OoYeJIySPF+54fqR5BURQTCsFkQ9MBNv+CwPop7+6wRRwLBEQ8tWY/AOCKExoTVrbXqXUoN7D+zErh0VVhUQlHKm0JcvS5RzZRRAgAXHpsPXQaFb4+PID1zZFRIaIYmv/vHjcWOk3ij6ZEefrVkhA8cuefe5MrzfKVoqXPnwQRIQBw1swamA0a7O+2yxZte+KTfQBYNIJcq8BopPl3xJ//I9kQRRAEQRAEkSkyLsRffPFFLFu2DHfddRc2bNiAmTNnYsmSJejs7FR8jtlsRltbm/SvuTk3je75BtKkU8NsiN2Y9rp64Ql4WOumAuXCRpyZ9SU4oakcXr+IRz7aE3Hs2S8OonvQjdoSo5TPHI9kPFLci3akhob2ObxSfm9VcawQ8Qf86LAzQZHIIwsADeUFWBKshH7/+7sijr26sQX7uu0oMmhw8dzk+tImEoKVR7gQ9/kD6An2sFYSgqkYQsoL9Th/NvPc3vfezgiv+MrtndhwsB96jQrfCxqsEsH/5pSEIE8POJKFYKeNzX+i1Jhk5r9Qr8EP5jMj34Mrd0fUSthwsA8f7eyCWiXgmpPGJzW2ROufG8+OZEMIQRAEQRBEpsi4EP/Tn/6Ea665BldddRWmTZuGxx9/HCaTCU899ZTicwRBQHV1tfSvqiqxyM0E7WFh0bKtg4LeKIvJAq1KubBRODefOhEAC0//Yh/r/3u4z4E/vb8TAHDDognQqpN7W/hGWM4jDoQ8skeqEOEhreUFOug1sb2nu5xd8Ik+qAU1LEZLUte87TuTIAjAu1vbpQr2XTY3fv/ODgBs/pPxBgKJC4ZVFTHxysXUkUaP3YOACKhVAsoLYoW40+dEn5t5tpPxyALAT0+dCL1GhS/39+KV9SwfecDpxa/f2gYAuOrEcZIBIxGJ5t8SNB50HqEFC90+P3qDaSVVRbFz4g/40elgBk1ePDARPzxxHMwGDba3WaUIHJfXjzv+9Q0A4PzZtWisKEjqWgkNgSOkhRxBEARBEEQmyKgQ93g8WL9+PRYvXhy6oUqFxYsXY+3atYrPGxwcRENDA+rr63HOOedg69atmRymIl29vbhe/RrGKnQRS7ZQVTjzxpfjkrn1EEXgx8+sxwMf7MKlf/scdo8fcxpKcemxyXljgSQ8UmYtZgu70d8bv3dzvtJpdWGKcBATC+U38vx1V5mqoFbFCnU5JlYV4epvjQMALHtxE/743k784O9foHvQjSZLAX544rikx5cwNLdIi/FCKwZ74rdMy1c6B1xoFNrQUOCVrSDP13+BtgBF2vg1DTg1JUbcuGgCAODn/96C+97dgcuf+hLNPQ7Ulhhx3cKmpMeXqHJ9VYEGU4VmWPt7kr5mPtE54MRMYQ9KNS6UyFQw73H1wC/6oRbUqDAqt3oLp7xQj/+3dAoA4HfvbMdv3tyGy5/6Ejs7bKgo1EnHkkEyBNrlDYHVRXrMFPZgsE85+imfcXh8+Oy9F7Ft9au5HgpBEARBECOQ5Fx/Q6S7uxt+vz/Go11VVYUdO3bIPmfy5Ml46qmncPTRR2NgYAB//OMfccIJJ2Dr1q2oq6uLOd/tdsPtDnm8rFZr2sZf980jOFv7Enp6VgPt/wKqZ0QcTyUsNJxfnDkVuztt2HCwHw98sBsAMLbMhAcvnQVVnJZZ0cT1SA124qd7roZFvwv9GyzA7FeBMUenNM6c4uzHrLfPwbv67bDaioHWeqBmVsQpyRYKi+a/l0zB1lYrPtvbg4eDKQLlBTr8/Ypjk8pN5khCfFBm/j0OXL79Wtym/xqurUZg/ltA7ZyUxplTfG7UvnEJVuk/h8NnBA5UAI0nRpzCX/eYgjEJc+rDuWHRBGxrs+KdLe14dNVeACxs+vHvz0GxMbnIEiCBIcrnwRlbb8UP9Z/Atc8A7H4WmLg49rx8xedB4RtX43X9O3BDB2G7Bph2TsQp/HVbTJakDVEAy8Hf2mrFc18cxJPBvHyTTo0HL50t1ZVIhriGKL8XJ379M5yrfx3Odj2w+S/AzEuTvnbOCfjh/dd1OGHnS+hAGXDcYsBgzvWoCIIgCIIYQeRd1fT58+fj8ssvx6xZs7BgwQK8+uqrsFgs+Otf/yp7/r333ovi4mLpX3198h7lRNgr56JLZUG5tx34z01AVKVnSQgWpiYEiwxaPHv18fjvJZOxcLIF1y4Yj39ddwLqSk0pXSeuEFlxJyx2lgdd4usC/nU1EPCndP2c8sFdKLVuBwCYAwPAi98HovoVJ9s6LhqdRoV//PA4/Oz0KVg8tRJXndiIN3/6raRDcjlxhciKO2EZ+BoAYBCdwHOXAh57StfPKR/cg7LOzwEAJtEJvHwF4IwssMYrdqdqiFKpBDz83WPw2/NmYPHUKlx2XD3eufkkHFVXnNJ14q7/Vb9DVccnAACD6AL+fS0weARFhnz2IEoPvAMA0MMD/OenwGCkZ1nq2JBkWDpHEAT85pwZ+NPFM3HqlEpcemw9XrvhRJw4ITmvOifu/K97CpYDrwMAjHADb90G2OQjF/KSzS+geOdL8IsCPtGdBAh591VJEARBEMQRTkZ3FxUVFVCr1ejoiAxd7OjoQHV1cptHrVaL2bNnY8+ePbLH77jjDgwMDEj/Dh06NOxxc0468/uwLPsM0BYArRuA7W9EHOc54qmEpnOMOjVuWDQBy686DncsnQpLUfKeKI5ijnjHNmDz8wCAKz23wyYUAN07gW2vpXyPnNC7H1i/HADwI89tGNSWAQOHgC3/ijgtlYr10WjUKvz45CY8ecWxuOus6YpV2eOhKERsHcA6VgPhWs+taEUlYO8Evn4p5XvkBGe/NP4bPTehSz8WsHcBm56LOG2oESEAyzv/3rwGPHnFXNx7/tGoL0vNCAVErv+IdmjuQeArNv5bPddhpzgWcHRLrynv8TqBzx8HAPyP92oc0k8AXP3Apw9GnMb/7lONCAGYMeT8Y+rw9yuPxe8vOBqTqpJLLQiHR+T0u/vh9IV1gfC6gDV/BgDc5b0CmwLjAc8g8PF9Kd8jJ/i9wKp7AQB/8F2KVyquA/QK+UkEQRAEQRBDJKNCXKfTYc6cOVi5cqX0WCAQwMqVKzF//vykruH3+/HNN99gzBj5zb5er4fZbI74l1YKK4F517KfNz0bcWioodHpQjE0/esXAQDWhiVYFZiF54Qz2eNfHSFC5JuXAQDbjXOwMjAHOxu+xx7/4vGI03I9/1yAdjo64Q+PNvj6RUD0wzNmDt4LHIv/8y1hj3/5t5ioirzk6xcBnxPthvF4M3A8vqn7Lnt83f9FjD+V1lmZgK9/p88JqycsJeWblwD3AAKl4/Fa4EQ85g2u/03PAoGAzJXyjC2vAo5uDOjG4BX/yfi07mr2+DevRES1hNdIyAVmnTnUQjE8T3zXO4CtDWJRDV4RFuM+XzAkfcu/AJ8nByNNkX0fAwOH4NSV4Wn/kpTC9QmCIAiCIJIl4/F2y5YtwxNPPIGnn34a27dvx3XXXQe73Y6rrroKAHD55ZfjjjvukM7/1a9+hffffx/79u3Dhg0b8P3vfx/Nzc24+uqrMz1UZY6+mP2/90PAFdrwD8cjlQ74fa0eKxxeB3tQFIGtrLhQ4KgLAQDPuoK5vQc/Axy9WR9nSoii5DleoV0IAOibfCkAAWjdCFhDhc+G45FNB+WGcmgEDfyiH13OsLDnzS8AAFTHfB8A8KLvZIhqHdC5DejZm4uhpkZw/lealgIQ0NN0LosK6dnN3oMguZ5/g8aAMkNZxFgAANtYSLRq7lUo0OvwbuBYBLSFQH8zcOjzXAw1NXa+DQD4ovg0+KBBX81CwFgKDLYD+1dLp+X680cQBPn0jB1s/MJRF6CksBCfB6bBa7Qwr/6+VdkfaKpsZ+tne+kiuKEjIU4QBEEQREbIuBC/5JJL8Mc//hF33nknZs2ahU2bNuHdd9+VCrgdPHgQbW2hTXRfXx+uueYaTJ06FaeffjqsVis+++wzTJs2LdNDVcYyBSifAPg9wO73AQAevwe9LiZqc+WRKtIVoUDL8pql8PT2r4H+g4DWhIIZpwMADgYq4LNMB8QAsOu9nIw1aXr2MsGn1uFNLytuVmKpAermsuPB+QdyLwTVKnWolzWPSrC2AZ1bAQjQTD8XpSYtrCiAo/o4dnzPipyMNWmcfSwNA8D7gWMBAGWlZcD4Bez4vo+kU4eao59OYqJC3INA82fs58lLUVmkhwt69NSdyh7b80EORpkCPjewl83xZ+rg/JsLgKlns+O73pVOlTziBbn5/AFC+emSR9zvBXYHP2Mmn4FKsx4BqNBaE4wKCYrcvCXgB3a8BQBYZ2AGzIpCXS5HRBAEQRDECCUrFWhuvPFGNDc3w+1244svvsC8efOkY6tWrcLy5cul3//85z9L57a3t+Ott97C7NmzszFMZQQBmLyU/Rz06PD+vTqVDiX6ktyMCzItnA6sYf83ngStoVBqezQwNlgxeneeC/EDrMCWWHcsmm1seVqK9MDE4EY+aEgY9AzC5rEByJ1HEJARgtxjOWYmYCpDedCb1lX1LfZ4vgvB/auZwaZiMnY5WZqHpUgPNJ3CjgdFoj/gl8RXrgwhgEye/oE1zGBWMhYon4DKYC/xwyVM1IZ7lPOSA2sArx0orMYG71gAYD3cmxaFjgcZarG2dBIz/4e/AlwDgKkcqD8OlcHaF3uKg6lIBz7NxTCTp2ML4OgB9GZ8BWb8JY84QRAEQRCZgErBJksDD+9moa3cA11VUJVS66Z0E+OR5RvdhhMAsLZcANBWFvTIHvoyq+NLmaAQd9edALeP5fNWFhmACUEh2PwZEAhIr7dIV4RCXe4KKXEhIoVG7/+Y/R/0IPP5P1DKhciamOrveUVQaItNi9AzyPJ5ywp0wPigEDz4OeCxo9vZDZ/og1pQw2K05Gq0khFAWv889HnCYkAQJBG1y3QMe7xlQ0R6Sd7BvflNp6DHztZJeaEOaAgacjq2APYe+AI+dDu7AeTWEBUTmh78fETjtwCVWipCuV0zlVUe79sfkV6Sd/Dx1x+HDjvLxychThAEQRBEJiAhniz1QS9+z27A3i15A3MVls6J2AgHAiwPHJAMB3wT2WyYAghqwNoCDBzOyVgTIoqSx6/HwgwHhXoNjDo1UH00oDGwPNPevTkPS+fECEHusRx3MoDQ/B8Q6gFDMeBzAR1bsz7OpDn0BQDAWXsCPH5mCCkv0APlTUBRDRDwAq2bpJz4CmNFSj2s002MEGxZx/4fywwffP4PBsqB0nGA6JdeY15y+CsAgFh/HLoH3QCCr6HQwlJkAKB5Dbqd3fCLfmgEjZQnnwtiPOLc0Bf8vKwsMgAADju1QPVR7Bg3NuQjB9ey/8cej25bcP6H0NGCIAiCIAgiESTEk8VUBlimsp8Pfh7hEc8lETma3btYjq/GyEKjERIinS51aCOcr0Jk4DAw2AGoNGgtZGMt5/mZai1QE0xROPxV3gjxCCHi6GUFwQCgluW08/H3OHxALct5l8RivuGxA107AAA9xWz+C3RqZggRBKA26FVu3SCt/0pTZU6GypEiEgbbWEXuNta7nc91WTAioWfQA9QHo0LCCs7lFQE/89gDcFTOliJCpL+BYJQLWtZHzH9ODSHhqTGiGPpsCQpx7hHvtLnDoorWZn2cSSGKkkdcrD8e3cGIEMoRJwiCIAgiE5AQTwW+kW9ZFxLi+eQRb9vMHhwzE9CwzSPfRHYPukNe/XwNT2/bxP6vnIoeF/uRCykAoYJth7+ScvRzPf/cENBmbwsJvLImwFgCIOhNBtimXhLiG7I9zORo28zyw4tq0IkSAJBy3AGEDCEtG9DlYB7xfBHiHY4OFrbtd7MK42XjAYQZQuye0PjzVYh37QQ8NkBXiC4DG79Jp4ZJp2HHx8xi/7duyotCbUDY/Ns7WKFFZy+g1rMIFoRSM3rsYeuff07lG7Y29k9Qw1p+tBQRQqHpBEEQBEFkAhLiqTCGbS7RviVvQtP5/TvsHaxiOhAaJ0JCqmcwTIi0f5PVMSZNmCGhx868UeURQjxYcKtlvSTELabc5ScDUUKQC7yaUHFBSQgOuiUvOQ7nqUecGwhqj5G8gRGGkDCPuDT/OcwPB8IiQhwdCPB5rZ3DPPgIE4KD7vwX4sFq9aiZjR6nD0CYNxyQolzQtjkvCrUBofVv89pgb/kq+OAMyRDIx99n90jiHB1bI/qh5w38c7FiErrdLMqgUK+BQZu7iAOCIAiCIEYuJMRTgW8k27/Jn9D0cI8UF7LVISHOvTndg262QQaA9i0sDDPfkIT4LPTKCcGq4Pi7dqIzzyISel29cIUJKU6FnEe2ZzfgdWZ1nEkhGRJmodcuE5bLx993AJ22QwBy7xG3mCxQCSr4Aj70tAWFOPccAygLRiT02j0sNUNQBT2f7TJXyzG8dkD1UWFh0WHe2MqpgEoLuPrR0bsbQO4/f0xaE4p0RQCA9rb17EH+d4qo+S9vArQmwOsAevZkfawJ4YbM6qOkQoUUlk4QBEEQRKYgIZ4KldMACMBgOzoGWeXfvPJIdch5xHlougeomAyoNIB7ABg4lPWxJiRMiHOPON/IA2DFtrQmwOdCl60FQO494madGUaNEQDQ0Rn0qHHPJcIjEtxAYSVgLGPh38Fc7Lyicxv7v/poNl6EQusBsJDvYtZSq2vgIIDcC3GNSiN55dt7drIHq6ZLx0MRCR5AVwBUTGIH8jEqpGML+79qulSoLWL+NXqgirXUau9jQjaXFdM5UnpMF18/R0nHuCFt0O2DO4CQSOe5/PkEXxPVR0UWyiMIgiAIgsgAJMRTQV8IlDfBB6Db1QsgzzxSPjvzmPGicojyiGt0TIwD+Ve5297NCrUBQNU0eY+sSsW8ggA6gznKuQ6NFgQhVDAs6KVnBhtGeXixMEEIicTO7VkdZ0L8XqCbeVlhmRIyhER7BCtZ5W4ekZBrQwgQVrBtIFgoT2b+bW4f3D6/tH7ybv5FMfQ3WTlN2SNbxUQuT43JtSEwfAzt1uD8hxlCzAYNNCqWJtBr94Sl95AQJwiCIAhidENCPFWqZqBbrUYAYs5bB0lDCoZnt2s0QPkEKT8TACzhOeJAZHh6PtEV9GaWjAV0BZIQjwhNB4Cq6fAA6Pc72K85Dk0HwvKUNRrAVAEUlEvHuEfc5vbB5Q0TgvlmCOnZy1qT6QqB4nppvZRHzz83hHgGAOTJ/HOPLHyAWsdCoIOYDVpJCPbZvaEWYHy95QuDnYCjh4XOW6aEIhKihbiFGdLavcH5z7EhEAibf6+NPRAmxAVBQGm4MYqv/3ybf48D6N3Pfq6aIbUui5l/giAIgiCINEFCPFUsk9GhYcV7Kk2VUAm5n0IpT1ytBiyTIo7xjaTT64fd7Qt5C/MtNLo7uDEPCiXukYoR4pXT0RWcf61Ki2J9cdaGqAQPz+5Uq0NCI4jZoIFWHeYR5POfbx5ZHpZumQKoVOixK3gEK6fBJQiwiqyYWF54xLlHVqNmER9qrXRMpQoJwe5Bd5gQz7P552HpZeMBnQnddpkccQCwTGEROQEvgPwITQ8ZAtWAuQ4wRP5NcmNOr90TisjpzjMh3rMHgMhSRwot6JLL0ScIgiAIgkgjuVeRRxoVk5jgRX54o4Awj5RGE9roBinQa2AMVv3tGfSEcmS7d2V1jAnhHrKgx69XqpoeLUQmM8ELJoCFYHXsXMKFeIdGHRJ6QQRBkF4D8wjmqRDnhplg6HmPXLE8ALBMQVdw/g1qA4q0RVkbohJjClkLuXaNRhp/OBFCMNwjm08FC8PSAgCEeWRj13+3Wo2AwPLj8yEiJ/T5E2sIBEJrqNfukf6+0decXwUL+edh8PORRyRUFJEQJwiCIAgiM5AQT5WKiSwEGfkRlgtEeaQsk2OOc69416AbqJjIHuzZAwQCWRtjQrgQrJgMURTR51DIUa6YGBLiOc4P5/D571TLzz8XIt32sPm3tQLuwayNMSF8/oP1BaT2cTKh0dL8G8rzyhDSqVbHGKKA8F7ibuZxVmkBz2B+FSzsCQrx8gnsV+4RjzaEFNej3VAAAKjSl+VVRE67WgOUT4w5XhbeS7zAAhhKAIj5VTmdG0KCf588IsdCoekEQRAEQWSI3O/ijjTKJ0ih6VVac44Hw5BylNXqkNALoyK8cndpI6uc7nUwMZgvdAU9UpYpsLp88PqZtzImR7moBl16VqXcojFlc4SKRHrE4wjBQQ9gKmPhrwDQuy9rY0xIT3As5RMQCIhhxfKiPIJaI7rM7PVaNAXZHKEivGBfp0YdkR/OKQuPSFBrmRgHQuIrH+CiNPj3G8oRj5p/lQrtJbUAgCp1fqx/KTVGo4YYNCSEE4pIcLOChTwqJ5/yxKM84rLt4wiCIAiCINIICfFU0RWgw8DCcavE3HsDAaBazYQpK9YmJ8TDWpiptawNGJA/QsRjDxkFypskEVigU8MQDKuXUKnQWcCEbKWYH8u3Mhge3KnWAGWxQjDCEAJIXs+88QiKItC7l/1cPgFWlxf+ADOElJpiPYIdhawYXSXUMcdyAY9I6FKrEeAiO4zycI8sEBLr+WQI6Q6uhfKJ8PkD6HOwHHC5PtYdhWy9VeXJ/HNDlFOlwmBpfczxUC9x9pqk8PV8+fwBwjziXIgrGEIIgiAIgiDSRH4omSOMjqBHtsqTHzmO1T62wW3XagBdrJcsRghW5NlGmFcrNpYCpjLmOYNMWHqQTkMhAMDi9WRleImo8rL571Gr4C2oiDkeKwS5EN+blfElxNbGIiQENVDaIHkDzQYNdJrYj4iuoCGq0u/L6jCVqIAagijCJwjoK4jNmZY8srxzABfr+SLEPXbAepj9XD5BMkSpBKBExhDSrmOfP/zvPtcYoUaRn6W5dJpKYo7zv2P+dy0Zq/oOZGF0SSCKEREJDo8PDo+f/Uqh6QRBEARBZAgS4kOgIzhrVU57bgcSpNJhBQA4BAGDnti843LJI849stwjmCdCkAui4AY9VChM3hvVFczRr3TaMj+2JCiz90AjihAFAT3uvpjj5eG93IHQ/OeLR5wbBErGAmptqFCVgjewU8uqkltcjqwMLxHa/oMo40LQF/s3yeefV4IPzX+erX9jKVBQLhlCygp0UKtio2461OwDqMqVJzUG+g+iKmiU6ZQJEooolgew9Bggf4T4YAfgc7LWcSVjpc8fnUaFQr0mx4MjCIIgCGKkQkI8RQJiAJ0BtqGvsvfkeDQMk7Ul5JFydsYcr5CEYPRGuDkbw0sMNwgEPZVSobDo/PAgnWDeqkp7b+bHlgSq3v2w+NmYOhwdMccjcsSBsIJ5+RKRwMPSmUBV7OEepBNsreXL/KNnDyqD89/piF3/ZdERCWV5ZojqCaUFACGDQUzHgCAdInsdVbbuzI8tGfoPSOtf7vMnZv7zTYjzz0FzHaDWhgpFmnR5UYyQIAiCIIiRCQnxFOl19cIHESpRRMVAnhQ76wvbCMcRInyDidIG9n9/vghx7hFnQjyhEPQxT6DFGit6c0LvPlT6lOe/IrxqNxAKjc4XIcI980Eh2K1UMT1Il5+lZFQOtOVHC7De/ajyMY9sPEOI5JGV5r8ZyIfwer4OgrUbuMGmokhh/oNe/0pbZ360AOtrjrv+FT3ig+15Mv4D7P/g5yLPzy8xaRWeQBAEQRAEMXxIiKdIh51t9Cv8fmj6DuZ4NEH6mqV83S5HV8xhnmfKN5goaZCely9CCkDIIz6o7BG3e+1w+JmgrexvzQ8h1bs3rkc2oo84ABQHC1o5evKjhRn3CAYFkmLFbgCiKKIrGH5f6XYA9tj1lnX6DyaY/6iIBHMtoDEAAW9+tDCThGAjgFAKg1xqRkAMoMvFInEqff78iGrpb447/6XB+e93eOHzB1gIvj7YcaI/Dz5DuUEyKMT7gwZLuUKFBEEQBEEQ6YKEeIq0O9oBANU+P2DvBDx5kCcb5pGS8wiWBj07fIMpCUGvnYnBXBPjEedCMHYjzDf6BYEACgK+/GjB1n8wKY9sz6AHoigCxhLAUMwO5oMQ5GIoaKDpVephDcDmtcHpdwEAi8LICyGVSIgzQTvo9sHl9QMqlgvMn5tzooR4f9BgVirjke1398MXYGut3O/Pj/D6BB7xUpMOPMK7z+FlLcx4VE4+RIVwY0ZJI/s1uP5LC8gjThAEQRBE5iAhniLcI17FW2flOrzb7wWshyUhIusRN0aFpmsNQNEY9nOuPWo+D2ANiung5rxHCk2P9Qjyjb6Fz3+uxy+KQP+hpHKUPf4A7MFqzHklBLkxoIQZaHoGlVMD+PoyiwIMopgf4+8/GFcImo0aaIJFz6TwaG6MyofxRwtxJxujXMV0Pv9l0EALAP35YMgJecS7nLGfP2qVgBIjE7V5WbBNMTSdPOIEQRAEQWQOEuIpwj2eldoC9kCuheDAIUAMSMJUToiUBD07Lm+AeQSBUHh6/4FsjFIZ62EAIgsVLrAACG3W5ULT+eurCvZOz7mQsncDPicqfcFieTLzb9SqpTZgUlSCNP85Hr97MBQVERSnPVL7uFhDiLT+1Qb2QK7H7/cB1hZUxSmWJwiCZFSQhCA3hOQ6IsHvC40hKE4lIWiM9cjy9VWpCbYpzPX4gYQROUB4wbZgnYR8EuL9kakZodB08ogTBEEQBJE5SIiniCREDOXsgVx7xIMb2argeOSqFhfpQx5BHvYaKtiWYyHFPXrFdeDxq/GKtXGPm0XHc0xzPP/B+avUsVBzOSEuCCGPoDT/kkc8Dww5AAuVN5YAiB8azT2yldo8yfG1tgCiH5VxDFGATAu5kjzxiFtbgIAPUOukKBVJCMqERkvrX1/KHsj1+N02wNkrecR7nD3wB/wxp/H0gD67TJ2KXOL3svcAkMbUJ61/8ogTBEEQBJE5SIinCBciVQU8tPtA7gYTdn9LYQ0A+dB0QRCkCsB90R7ZXG+EuRAMemNFUYwbGi2FphuZ9zznQmSA3b+qkK2HTkcnywOPosQULcTzxRDC88PHhh6KI0QkIWisiHx+rgje3xL8e7R6rHD5XDGnlRVEzX8xN4Tk2KPMDTElY1nuOkJjlAuNljzipkr2QK494sH5L9OZoRJU8It+9Lpi29qFIhK4R5xViM/552cwoggaI1DI5pR/RlJoOkEQBEEQmYSEeIpIG+HiRvZAroVscCPLx9Pl6EJADMScVmyMEuL50sKsPzI/2e7xwxPsiR6vWFtVUR17INfzHxw/n3+nzwmb1xZzGt/U8/zfvMkR5/cvDhPiwTEWy4RG8xoJlUHDT74IQXPxWBiC4fKy6RlGXrk7OjQ914acw+x/nrOOMCEuM/9SREIR9+jneP6Df3+akgZUGJhxRrZOgtTCTyZHPJedG8Lzw4XIqCEKTScIgiAIIpOQEE8RySNYPok9kGshG9wIl5dPggABPtGHPldfzGncuxkTGp1rISt5xNl4uFDSaVQwatUxp3MhYikJ9oLOEyFrKGmAORgu32mXE4LcEBIdmp4f4+fjcXn9cHmZIUSujzJf/5Ul40LPz6WQCo5fKG2QvMRyecrFPCLByec/KGQHWnLbAk8S4nXSQ/HaZ0kRIaXB9e/ozm3nhjCPPp//pHqJl9QDEHLfuUGqmN4Qeog84gRBEARBZAES4ilg99ph99oBAJWWGezBXPfiDnp0tGVNKDcG88TlPIKmqMrpfOM5cAgIxHrQs4YkBJkwCvcGCrznURiSEKyYwh6wtrDK67kirOJ4PCHIRdWAI1yIIPe9xKOEOJ9/jUpAoV4Tc7pkCCkLGqK8jtwKqbDxxxOCMTn6hdWASguIfsDWlpWhyhKVmuHxhSrryxlCeA2IyuIGQFcUvMbhzI9TCakHfQMsJpYuotTCDAgT4ho9YA5GVeQyPD2qhzgADJBHnCAIgiCILEBCPAW4CCnUFsJUMZk96LEBjticyKwRFlrJ86blWgiVRucom2sBQQ34PXklRAacPD82dhMsimIoNaBsEqu0DjFYeT1HSKH1Y1FlqgKgZAiJ8ogbigFDCfs5l+HdA6HxA+Gts+QNIVKxwsKaUAu8XHr1w3qgcyEu28IvOP98fUGlCnmhczr/kR5x7g1XCYDZoByabjFVhnn1czn/IY9yPENUzPwD+VE5Pap1nNcfgM3NIiSoWBtBEARBEJmEhHgKSGHpJktkL+5ctQBzWQFXP/s5TAjKemQLonJk1ZqQEMlVeH0gwEKDgRiPLM/pDaff3Q9vgB2vMFlyH14f3ke7eGwCIRKVGgDkR3i6QkSCXH54QAyg29kNIFgsLB96cYd5xOOt/5iIECA/KqdHC3FnaP5VqkhDiC/gQ4+LRR9Ezn8ODQmSR7wxZAiRMQTKCnGpYOSBTI4wPlGh6Xz9CwJglvkbIAiCIAiCSBckxFNA8sYagxWLc1352tbO/tebAX2RFBoq5xEsjs5RBkLhmLkSsoPtQMDLPPO8dRMvFCYXlhuc/1J9KXRqXe7n39XPIiIAoLgufmi0FJEQLgRzLMQ9DsDeFTGW/jj5sb2uXvhFPwQILA0i1+MP9hAHkHpoOpD7yumiGCPE++zx5z8gBqAW1CjVl+a+F7ooynrE5ea/2ChjiCquZf9bWzM6zLhER4Q4QoUK1arYiBCCIAiCIIh0QUI8BUJhocHWWbneSNqC9w2K2GRyNPNKCHIBZK5lHnrErxgtFari85/rXtx83gosgM4UV4iURhcLA8IMCTkaPxcherMUJh+vYjR/XeXGcmhUmtyvn2APcaj1QEFlAkNIMEffKReRkKP5d/axHHuA/Q0gZCiTLZQX/PwpN5ZDrVKHefRzJMSdfYAnWN8grEZC0oYoM//8bMnoMBXxeUKGqOj5J284QRAEQRAZhoR4CvBCSZIQ5MWGBnK0kbQGc7vNTIjHy1Eujc5RBgBzMDTdliNDwkBk6zIgfo64VKiN91DOtRDsj8xvjzf/xdHts4D8GX/J2FDrJik0WqaHuENh/nPlkQ0vNKdSDSEigedY52j83BteEEx1ATDgTFwxXYrIKc7x+HlEjrEU0Bqlccmvfzb/VpcP/kCwuGWuhfhgcPxqHWAqA0AV0wmCIAiCyB4kxFMgZiOc641ktEfcqOwRl82R5YaEXHn0pfzq8B7Kyhthaf65EOQ57tYcFZuLMiTErZpeIBManXMhHvQEh81/SIjEqdgtpWbkOMdaKvTH1oFkCHF2IiBGdgLgHs4BpxcBLgRznWMt07osnkc2okYFELZ+ciXE+ecP+xypLGDrwuqxwuVzRZwaXnPAyqMSeERRrgyZ3JBQVB3WQ5wbQsgjThAEQRBEZiEhngIxoenmXIem840kE+JJFUuK8IjnePwyHvF4xcKk0HRjVERCrgwhUa2/+Pz3unrh9XsjTuXF5/qdXoi83V2uDSFyEQlJhKaHUjNyHZoenLfgOq4wVgBgRc36XH0Rp/LCWwERUlXsCI9+Llr4yfYQ5xEhyRiigu+brRWIWm9ZISoip0hbBIOaefaj61Ro1SqpHZ6UHsDXv7MX8DozP95orJGGBCBkCKGK6QRBEARBZBoS4ikQsxHOtUdcEiJBj1SYEPT4I3trSzni4UKwOMfjjwrtBkKh0fFyZEPzHyZkc9HLPar1WqmhlOVOI9YYwl+PPyCGhCBfP4OdORZSISEiGUJkhIji/HsGWQX/bGOLFIJatRZlBhZiHB0VYtCqYdSqAYQZo8w1gKBiLfzssVEkGWdAZv3H8chKHnFuiCqwsPx4MZAbY064RxmAIAhxo0K4cU2qk2AoAbQF7OecjD9y/QAUmk4QBEEQRPYgIZ4koijGboS5ELG1swrO2YZvJIMe8RJ9CbQqttnlbaY44ULQ6uJCkHuk+lgF7WzDPYIyHlm59mVSaDQXgrx9nN+dm17uUUJWJagU82QNWjUMWvbnJglBUznLT4UYEjXZJGr9AGFCRCYiQeohzudfX8j6oQN5IQSB5Ook8Mr8UGuBQnZ+TsYvG5oeJzUg2hCY617otliPstS5IU5UjpSnLwhhdTYOZ26cSsis/367ckQIQRAEQRBEOiEhniRWjxVuvxtAWGhuYSWg0rDKzbnwqFkjN5LhHql4HkFpI6w3A7rC4LVyIaQiQ4uBkEiKJ0Sk+dfomVcQyI1XXxKCISESv3J6VJ6+ShUSATkVsiEhErdYXrRHHAi99lwU/JMJLY7rkZXmPzw9I4fpAXzNhq//OKHpMakxQNj4c1AnQcYQEr+FmUwv8Vx2nrDGMUQVkEecIAiCIIjMQkI8SfgmuFhfDL1azx5UhfpfZ73gUMAPDAbFRlhoZTIttCQhEu6RyraQ9TgA1wD7OWwjr5Qj7gv40OPsARDyegLInZAKBEJVl2WEiJxHsFiul3Uu89zlPIJxcmRjIkKA3ArZFIVgqJd4WNoGf+22HAhZySMeWyMhXtcA+fnPwfqJSo0BQn+bcoaQkEdcrk5FDj3iMqkZ5BEnCIIgCCLTkBBPEql1WfgmGMjdRtjexTzxggooCHko+fhkhWA+VU7nm2CtiXnmAbi8frh9rGhWtBDpcfZAhAi1oEapvjR0gG/ks+2RdXQDAR8AIRTejPge2RLJEJIH8+8eBNzBvG6ZHNloQ4jH70Gvi4X/R3jE+XOz7ZGNMETFesTjFix05oFH3O8N/Q3IhKZHG0K8fq/8/OfSkCBjyJE+fxxyhijewi9PCkZKERUhQ47S/BMEQRAEQaQbEuJJIhuWC+SuYBvfRBZWAWqN9HDcFlpxK6dnefzhYdFS6yA2LrVKkCosc7iwKjeWQ61Shw7kSkhJ818ZMf9SjqyMEOGbe1khmG0hxedfVwjoiwDEN4TwmgNalRYl+pLQgVytH8kQpQ6lJyCBR1zWI5tDQ5QYYDUCguMXRVGxWCGff41KozD/2TYk+FiRQSBCiPMWZnHn3yljiMp2RJEoyqZm9MWJSCAIgiAIgkgnJMSTRDYsFMjhRj42LBcI8wjGEYKRHtkcbeTlwqJ5frhRCyEozjncsBARlg4cUfMvecTt+WAIUQ5L18gYQsILhUW8N7kyJIQbosIMMyl7ZHOV4y7lJ1ezWgEAnF4/PJIhJNIjKxXKM0bPf45qDAx2ABBZjYxwQ4hCsUIgspe7BI8GyPb6d1sBr539HPwbEEUxrGo9ecSHwiOPPILGxkYYDAbMmzcPX375peK5y5cvhyAIEf8MBkMWR0sQBEEQuYWEeJLEVCzm5ExIxRaqApLzCOZFsSpbmBAJEmqdpVwoLNYQkmshGzX/xnih6byFnEyOch7Mf3jF7mhDSEwPdw5//TmLqFAwhMSr2i3nkc36/Mf+/fL1r1ULKNCpI06XDIEmhfnPekRF8H6FIUMCEPn5I0a1FJSKteVDjQRuCDEUAzoTAMDu8cMXYGMmIZ46L774IpYtW4a77roLGzZswMyZM7FkyRJ0dioXMjWbzWhra5P+NTc3Z3HEBEEQBJFbSIgniWzFYiB3oZVS66wxEQ8nF5or5xHPkZAyx3pk5VpnxVRM5+SRIQFI0L5JVojkUUSCQqE8IPR6Yg1RORayZnlDVK+rFx6/J+KYfGpGWNXxbPail1n/4T2slQwhsfPPc8TbWd58tlBY/3x8noAHA+6BiGMhQ4jM+s92C0UZQxr31OvUKqnVIJE8f/rTn3DNNdfgqquuwrRp0/D444/DZDLhqaeeUnyOIAiorq6W/lVVVSmeSxAEQRAjDU3iUwhApoc1RwqtzA8hGL9qdJwc5TwIjR5whoRINAkjEgZamJCKEjAZQ6biMhAan91rh91rR4G2QDomnxoQ5tEMBCK8ixlFRgjy+ZfzBirPf3D8jh7A6wK0WQotVfCIl+hLoFFp4Av40O3sRk1h6P2RQtPD1z9ff147C1fmfdEzTRxDiJwhSrFGRWEVy5MX/SxvPmo+MoaCIVCn1qFEX4J+dz86nZ0oMZRIx0KpAWHr31AMaAvY/FtbgYoJmR45wxY7fm6gMcukxhDx8Xg8WL9+Pe644w7pMZVKhcWLF2Pt2rWKzxscHERDQwMCgQCOOeYY/O53v8P06dOzMeRIRBHwJmkI8vhghAtO6OHwpN/4xa4pwgg34LEj4TbNY4/8WZPCd4jWlLnvzGTndCjjz6f34EiffyC115BPcy+NaQjvQb7MPTA65x/Ir/eAk8kxKUBCPEmkjbBRQYjY2phHSqVGVlAIjeahww6fI0YIyvbxzZWQsiqHpssKESWPbK6ElMz4AaBAW4ACbQHsXjs6HZ0YVzxOOlYs5xEsrGKV7wO+oJDKkkdIqhidXKEqxYgEYymgMQA+F1uTZeNinpsRZHpAA8zDVmmsRKu9FZ2OzgghLlu1XmcCDCWAq5/NSdaEeKwhIeXWZQD7vCmsYhEC1pbsCXEZQwKn0lTJhLijE5NKJ0mPy1atFwTWS7x7F2thli0hLrP+rS4uxOlrMVW6u7vh9/tjPNpVVVXYsWOH7HMmT56Mp556CkcffTQGBgbwxz/+ESeccAK2bt2Kuro62ee43W643W7pd6vVmp4X4HUAv6tJfB4AE4DtBuCrwCTM/Q0ApHvTJuIV3T2Yq9oF/DHx2UZBABpZC0Tjg1NSi+ypPx744bvp33iKIvDUEuDQFwlPHcr48+k9ONLnH0jtNeTT3HOG9B7kydwDo3T+gbx6DyR+1groChKfl0Yo/i4JAmJAOUcz3CM1GJsXnDEUPFImrQlFWlYFOzpP2RwUuNbwjbCxFNAY2c/ZLFglY0jgAlUuR1zyyEYbQnQm9hqA7EYlyFRc5igVDOOe5ohiYWpNqP1ZNqMSZMYfCk2X6SGu5JEN70WfzTzlOEJQKT2gRC40HchNeoBsRIjy/CtGJAC5aSGXzPw75Oe/3+GNzB8Pj2rJFjLrPzT/VDE9G8yfPx+XX345Zs2ahQULFuDVV1+FxWLBX//6V8Xn3HvvvSguLpb+1dfXZ3HEkRyr2sW8RmnGCDfbBGeDQ58PzWuUCK9jaJvgFDni34MjeP5p7hWgtZ88R/h7kC7I9J8E/e5++AI+CBBQbiyPPKhSs82c9TDbSJqTs6oPG4VibQDbCNsGbOhydGF88Xjpce7pifFImWuA3r1MiJSNj75c+hHFuMXaSuIIkRhDCMA28s4+JmQrp6Z/vHLEESJVpiocsB6Q0hk4sh5ZgM2/rY3Nf+0xGRluDLZYj6BUtV7OEOJUMIQAbA327suNkDXLe2SB2PSMkrDQdFEUQ+HH5jFA59YcGXJC6z+eEFSsUQHkppc4nyuZzzve2SDaEMhfly8gwu7xhyrz59KQYyYhng4qKiqgVqvR0RH5nnd0dKC6OrkoDa1Wi9mzZ2PPnj2K59xxxx1YtmyZ9LvVak2PGNeamCckGTwO4I8scmP9Lxan33visYc8Uf+1RyomqITTYQNe/zb7+eYdMJmKkrhH6DVknASvYbjjz/V7cKTPP5Dia8ijuecMdfwZJ8PjPyLnH8jL90BCm8K5aYKEeBLwTXCZoQxalcwmzRwU4tnaSHocgCtYCEkmFLXSVIl9A/tihEgoNN0X+YTiWibEs+WRcvWzUGYgSojIC0GXzwWrh4UgynsEa4COLdkTUj434GB9neN5BJXm3+byRQnBGqBlffbGH95DObxYXrCtWmkqoelAbgq2JQiNBmSEePB1+QMiBt0+FBm0kdfIqpCNHX+80Oi4hpBcFFxUyNEHlOffqFVDp1bB4w9gwOkNCXF+jVwYEsLnPyjEzQYS4qmi0+kwZ84crFy5Eueeey4AIBAIYOXKlbjxxhuTuobf78c333yD008/XfEcvV4PvV6fjiFHIghD2tCadBpAl+5tVNj1dKbE4wq2PGTnF2Q9rDIhiV7DMMef8/fgSJ9/YMivIedzz8nX9yDD46f5T4JkX0MOodD0JIgbFgpkfyPJ76M1yea0Km2E+QaTb/glst1LmW/ijaWA1ig9rJQjy0OM9Wo9zDpz7PWyXbmepyCodYCpLOawUmgun39/0CMYOpBlIeXoBXhF8cKwiISgISTaI8gLzwFxDCFA9oS418kiIICUUgMMWjX0wSIi/bKV67M0/24b4LGxn8OErFXBI+v0OWELni9vCMllaLpMRI7C/AuCEKqTEB4VIhlC2tM/TiVkQtOV5p9IjmXLluGJJ57A008/je3bt+O6666D3W7HVVddBQC4/PLLI4q5/epXv8L777+Pffv2YcOGDfj+97+P5uZmXH311bl6CQRBEASRVcgjngRxvYFAWC/lbAnZMG+aTJEDJSHON8EeXwAurx8GbbCwnDnLG2EZbxSg3D4rvIe1bDXjbPdSDi/UJjMeHpobPf8GrUryCFojPIJZ7iXO58lUAWhCaQDWYKSEOWr+uaDihehiyHblfb5ONcb4hqio1ACAGXk6rG4MOL2QAlqzLWRtQUOOrgjQh0K4BhQ8st3B6AujxohCbWHs9bJtSHMPssKIgGxqgFJoOsAKMXbZ3JF5+tle/4Gweh5hofUUmj48LrnkEnR1deHOO+9Ee3s7Zs2ahXfffVcq4Hbw4EGowrpC9PX14ZprrkF7eztKS0sxZ84cfPbZZ5g2bVquXgJBEARBZBUS4knAN/QxFYs5WRey8q2zOJJHKqpYVaFOA0FgkclWpzckxLMuBOULnfGNcHT7MsVCYRwpIiFL8x8nLBoIzX+0EBcEAWajBt2DHgw4vagpCUYDZDtHVmH8PFJCyRCiOP+5Gr9Z3hClFJEAsDzxDqtb3iOetYgQ+Yr7VhczhMTMvzOBIcqco79fXWGEIYGjVCwPUOolnuXUgMFOVlxTUAMFoc90yRBCVdOHzI033qgYir5q1aqI3//85z/jz3/+cxZGRRAEQRD5CYWmJ0FiIZjt0G75jTxHySOlUgmSt21ArpdyjoWgJMSHLARza0jg8HHKCREpPSAv5j9aCIb6KIcTNz8ZyG1EiAzS/MsIcS6yItIzcmaIipz/kBCUj0hIHJHTllrrnKEiU+gvHD7/Pc4e+AKR9Si4kSHCEMLHP9jBvNWZho+/sCqi3aSSIYQgCIIgCCITkBBPgsQb4eCGOmuhrQk8snE8grJCxBy2kc8GMkLQ5w9g0K0QGq3UOo6TdY94ckKk09EZ2aYJYS3kXGECxZxtIRVbqA0ItfWKDo1OmJoRHhESCMifk04UeohzuMHA5rXBEdUaQ9YQwuff0QN4XekdqxwKf782KTQ90iOr2LqPw+ffaw+FjGcShfXDKdWXQi2oIUJEj7Mn4lixVLk+LEe8wAIIKkAMMG91plFa/xSaThAEQRBEFiEhngQJPYLZDs2N0zoIiPTIBsRIYRSqnC7jERzMkpCS2QjbwoRptBDhnn3u6Y+Bj9/eBfg88uekkzgVowGgwlgBAPAGvOh390ccM8vNP+8j7rWzQl6ZRiZHPxAQYZMMIZHznzAipKAyKKT87D3INAkiQgq0BTBqWNh/dFRCsWQICZt/YymgDlZiHsyCMUdh/JIQVChWqGgI0RWEcuWz4dVXqPHAUavUUpvHpHq5qzWhv4FsRLUojF8pR58gCIIgCCITkBBPgsQe8eCGzjOYHSGVwCPON8G+gC9GCEpCJLyFWWElAAEI+EJtuTKJzPj5JrhAp4ZGHbkspflXytE3lQO8rdxgh/w56SSBIUSn1qFUXwpArnJ9MCIhXIjrCwF9sBp8Now5MqH1gx6f5IxX8ogrCnG1holxIEvjj18jQRAE5c4BcutfELJb50Fm/YuiGEoNSHX+gewWLEzw+QMoFyyUNYSEXytH8w+EtS8jjzhBEARBEFmAhHgCfAEfelwsvFJxIxwupLIR3p1gI6xVaVFmYG21lFpoRXhk1dqgGEeWPGqxHkGl/GQgCY+gIGR5Ix/fIw4o54knFiLZWD/KPZT1GlWoiF+Q8Kr1imQzPSCJ+VdqoSUZQpTmPxvrX2b8Tq8fXj+zhMTrGqBIVuc/sRBPOP/OyNzxnMw/haYTBEEQBJFDSIgnoNfVi4AYgFpQS15OWaSNcIY3kqKYMEcTiNPCTC40GsieEAxvHRTWg1hqnRXlDRRFMTmPoOTRzMZGXrmHMocbDZQ8srHznwMhaw4X4vL5+UDImBB//rNYME8KLVaefyVDSMgjngceWXPs+lerBJh0kYaQhIYoILuGHKlrQxwhzte/UyEiIdoQks3K6TKh6S6vH24fS8shjzhBEARBENmAhHgCuEen3FgOtUqtfGK2NvKOHsAfzIMuTOwR7HZGhporCpFs5bnbu4Otg1QRrYNCHvHI/ORB7yCcPieAPPEIum0sBQEAihRy1qFsCAkVC4vyCEoF2zIsZP3eUEEsmdSA6Pz8pA0h2Zr/cENUEhEJSvOvbIjKoiFNJiKk2KiNaFGWd/MPJGWIUqpcL1ssD8h5aDqff0EAivTUvowgCIIgiMxDQjwBCSsWc7IlpPj1CyyARqd4Wuoe8SxVfudCp6CS5RYHsSoUSuIb+SJtEUxak/J1sxXaKvVQLpLtocxREiLKoelZElKDnQBEQKUBTBXSw0o9xPvd/fAG2LH4hpAsrX9XPxA0zCQTGh0bkcBD06MNIVkSgq5+wBeszB5mSFMyhNi99iQNUdmKaAmklBqg7BHPZWi6XERC6PNHpZLp1U4QBEEQBJFmSIgnIKmwXCBMSGVayCbeBANhLcyiQ3MVc2SzFFqsEFavJAR5xfS4YblA9jxqUqE2ZREIJBaCsYaQLM9/YTWgCv35KxWq4uMvM5RBq44TspstQwK/vrEU0BoUT0tcrE0pRzzDf7/8+lHjtyrkJ3MhW6gtjG+IMmdp/I4eIOAFICRXIyHaI26UKVYIZC803eMAXAPs5yIZQ4iRvOEEQRAEQWQHEuIJSNhDmZOtqsW2xPmxQDwhqOARz9ZGXrFicfwe4okNIVnayCdpCJGEYLRHUDE0N1tClq+fyPFzD2VMRALPT47njQWyN/9J5IcD8QxRiYrlZdoQIr/+BxQMIQlbx3GyZYji4y+wsCKPCijWSAibf5GX6Qey+PkZvL62IFRgE1SojSAIgiCI7ENCPAFJC8FsCdkkCiUB8TxSCjnKWRNS8j2UQ62bIj1SSeXHAtnzqCVpCEkUmm5TCs3NlkdZoWJ0tEcw/+Y/NUNIl6MrQvDJtu8DIkPTwwViulEYf6KIhMSGwOD1BttZ+HimSNDDncNTefrd/fDwmhYIvT6vX4TLGzZOfj3XAPNaZwpb2OdnWC4+Xw8kxAmCIAiCyBYkxBOQVOsgIPsenTj5sYBy1eKcV01XKPSkJEQS9hDnZFvIJikEe1w98AVCoi9hRIKtLbNCSqZiNBAnNDpZIc6v5+gBfO7hj1MJW2qpAS6/CzavTXqce2SdXj88vnAhGLyeNyx0ORMorP8Bha4BkiEwUY2KwmDhwICPvQeZQkrNiG+IKtYXQ6tiryU8KqFApwZPwY6ISjAUAzz0PpOfQdYEEQkGEuIEQRAEQWQHEuIJSD40NCy0OODP3ICSFOJ8497j7IE/bDyKxcK4sHH2AV5nesYqh5JHUCE0OnkhGLye2wq4B4c/TiWSnP9SfSnUghoBMYAeZ0gY8fkfdPvg84cJwcIqAELmhZQ0//I5+krF8hJ6ZI2lgFofeY9MoDD+aAwaA8w6FnrcaQ8ZowrDIi4i/ga0RsBQEnmPTKC4/uUjEpKef7U21IUgk0I2yfkXBEE2KkQQBPk8fUHIjjHQJm+IotB0giAIgiCyDQnxBCTVwxdgQkpQsdZc9u745w4HKTQ9vkeqzFAGlaCCX/Sjz90nPc6Fls3lgz8QFoJrKAE0RvZzRjfC8qH1VqXQaGeSQlxfxCqZA5kVUkmmBqhValQYWVXycI9gUZgQHHSHhUdHCKkM5ikrCBGlHP2kDSFCWPGuHHg05ZDL01erBKk9lXILrUzOv3xot5IQTHr+gZwKWTkU61QkytPPZHqPUrFIEuIEQRAEQWQZEuJx8Pq96HX1AkgiNFStYS25gJwIqZjhqNSoMDAhGL4RDhe6g+F5yoKQnTz3RMWqhuqRBbIjBJP0CAIh8cQrvwOAVq2CScf60Su2kMuGR1bJEBIdkcANIYnWP5CdXvRJRiQAISGoWCchFy3MFIsVKqz/ZIvlhV8zG4aQBIYoICxPP7pgnlQ5XWn+Mzn++B7xaEMUQRAEQRBEpsiKEH/kkUfQ2NgIg8GAefPm4csvv4x7/ssvv4wpU6bAYDDgqKOOwttvv52NYcbAN5BalRbF+uLET8h0L26fOxS2nIwQMcUKEb1GDYOWve1ZzxOPM/5QaG5oIxwQA9LYq0xVia+faSEeCKRFCCoXDMtCL24Fj7JS+7iki4UB2elFrxBRIYeyEEzUwiyThrT4qQHD84hn0ZCTSkRCqh7xHBhySIgTBEEQBJFtMi7EX3zxRSxbtgx33XUXNmzYgJkzZ2LJkiXo7OyUPf+zzz7DZZddhh/96EfYuHEjzj33XJx77rnYsmVLpocaQ/gmWAirsKtIpj2CfBOs1gOmsoSn513BtvDxG0sjDlllilX1ufrgE9nj5cbyxNfP9Pw7e4M9lBEqjhWH1IVIhoWUxw64eQ/lxKkBvoBPym9PTghmeP4DfmAwGF0wLCEY9MgqCsEMzX8goJgjPiCTGiCKYooRIXkWmi5jCATitfDLgiFEIbVHyRBCEARBEASRKTIuxP/0pz/hmmuuwVVXXYVp06bh8ccfh8lkwlNPPSV7/oMPPojTTjsN//3f/42pU6fi17/+NY455hg8/PDDmR5qDCmFhQJZELJh+aVJGAZ4OLHiRlipYFumPJrhIiRs/B5fAE4vKygXLgT5/JcZyqQKzHHJtEeWz7+pAtDoEp6uKASDrzFnhhBtAcupD0OuWF6PswciRKgFNcoMiQ0/GY9IGOwExAAgqEP59HFQ7GWt2MIvw+N3dLMaEhCAwkjDhlyOstVjhSfAWn8lF5qeYUNOeERLghoVQFiOuFN+/Wc9NUAU4+To8/WvCTtdREDMYAcDgiAIgiBGNRkV4h6PB+vXr8fixYtDN1SpsHjxYqxdu1b2OWvXro04HwCWLFmieL7b7YbVao34ly5SCssFMi9kk2wdxFESIsoece7RzJBHSsGbZgszCBTqQxthPu6kwtKBzHtkU8iPBcI8gk6l0PRsC3F5Q47PH5AKx4V7ZPn8VxgroBKS+KiQIhIyJKT4+AurAJU64empG6IyHdHCx1/JivOFEcoRj13/JfoS6NSJDT9ZjciJimiRQ65qOpBMaHqGPn8cPWERLfJ93MMNIYcHD2POM3Nw5r/PzMx4CIIgCIIY1WRUiHd3d8Pv96OqKlJIVVVVob1dfrPe3t6e0vn33nsviouLpX/19fXpGTxSaF3GyZZHM0EPa45SjqyiEMy0R0qpUFjQM1ao10CjDi3JlA0hmfYIppAfDuRhjqw0/5GGHFuYZzJCCDpTNYTwiIRMGXKGZghR8sgqFsvLRkRIGP6ACFvQEFIsYwhJef1nOiIkyYgcxdB0xYiEsM8fUUTa4euywBIT0WKVyRHvdnbDJ/oi2j8SBEEQBEGkiyO+avodd9yBgYEB6d+hQ4fSdu2fzPwJ3j7vbVw5/crknpBxIcU9ykl6xBNUjVYMjc60kFKsGK3QQznl1IDsjl8J7pFVCo2Omf9sRVQo9LAu0KkjDCEp5ScDmRdSQzSEdDu6I0KMlXOUg39Xgx0sHz3dKFTsDo8IkYtISKpiffh17V2A3xv/3KEgGUKS+/zh47Z5bXB4HdLjyjn6wXXp9wCO3uGNVY4kDCHhqRkpG0IIgiAIgiBSIKNCvKKiAmq1Gh0dHRGPd3R0oLpa3qtbXV2d0vl6vR5mszniX7owaAyoN9ejuiA5D3TGq16nGBqt5JFNXKwtUx4p+fxMuYrpQKjtV9IRCeb8EoJ8A2/1WOHyuaTHE3oEHd2AzzO8scqhVLE7QQ/x5A0hwffVawfctqGPU4kUeogDrMCfAAE+0Yc+V5/0eLFS+7LCSkBQsTxue6TxKi0oCEE+/yadGtpwQ4gzRUOIqYLlz0Nk+fTpRuHvV4kCbQGMGiOAyKgcxar1Gj1gChZlzIQxTcGQydMyAKAozBiYsiGQIAiCIAgiBTIqxHU6HebMmYOVK1dKjwUCAaxcuRLz58+Xfc78+fMjzgeAFStWKJ6fV/ANqqsf8DrTf/0UWgcBoQ18r6sX3kBo08s3m7ZoIcKv63dnyCPFN/JRFYtlKqYDoc170kK8MMyj5uyLf+5QSDE1wKwzw6A2AIgSIkoeQVM5wIvSDWYgvF4hR1+ph7uUo1+QZGi6rgDgbf4yERWS4vxrVVqpyFxSQlClDlXDz4QxLVHrLIX5T1oIqlSZTc9IMSJHEARZY2AoNcMX+6SiDNYZUDBk8ogEnVoFgzZUeyDlzx+CIAiCIIgU0CQ+ZXgsW7YMV1xxBebOnYvjjjsODzzwAOx2O6666ioAwOWXX47a2lrce++9AICbb74ZCxYswP33348zzjgDL7zwAtatW4e//e1vmR7q8DGUABoj4HOyTXfZ+PReP4XWQQAr8qRRaaQ2VNyzHxLi0R4pHfOqObrZvQqSaBmWCkoeQckjLh+anvRGOHz81takWrylRIrF8gRBgMVkwSHbIXQ6OlFfxOoXKIamCwJ7bwcOsrkqGZu2oQOIk6Mv37op5a4B/NpdA2z9WyYPfaxy2FKbf4CtnR5XDzodnZhSNoU9XckQArD5t7VlSMhmeP3za1tb8sIQArC102xtjkiP4evfFr3+AbZ+Or7JqiGEGySLlFJjKDSdIAgiJ/j9fni98VOtPG4PxujGSD+7VK54JwOFwVpSLjcQSFz4NSWGcP1RNf4h3iMlMn19MEezSpUeX3bGhfgll1yCrq4u3HnnnWhvb8esWbPw7rvvSgXZDh48GPFiTjjhBDz33HP4xS9+gZ/97GeYOHEiXnvtNcyYMSPTQx0+gsA2kr37mPclnUJcFFMOTVcJKliMFrTZ29Dl6AoT4sGNsKxHakxQiLcD1UelZegSiXLEhxsaza8tjT/Na2aIQuSQ7VCEEFEslsevPXAwQ0Iq0fxHfhxIOcqpCsGuHZnJcx/K/Jss2N67PdIjG3f+M1hnQFEIynvEUw5ND792JtaPQg/ueMh1Dgi1L1NY/0BW17+SEOdF/ig0nSAIIruIENDe2Y1+myPhuf5AAP9vwv8DAPS0tqM/nkASA8CJ97OfD7exdLR0MoTrj6rxD/EeKZHp64N1ABs3bhx0uiQ62iQg40IcAG688UbceOONssdWrVoV89hFF12Eiy66KMOjyhBFNUyIp3sj6epnnnYgaY84AEmIh1eOVgxNBzLnkXLbAM9gcADRPXxjhYg34EWvi4XHpywEO75Jv5Dye0N5w0mG5gKhiuNyobkxHnEgcwXbwg050UJcQQgOTYhnsIWWNbXQaEC+hVbc0OhMdg5QytHnXQOihWCqxdrCr51FIRuPeOvf6vRBFEUI4RXYM7p+5A0J3BBSFLX+ux3dAMgjThAEkW3aJ34X/VY7KquqYDKZIr8novD5/RCtrCBro7kRGnUcD2jAD3S72c8VjUm1Qk2JIVx/VI1/iPdIiQxfPxAIoLW1FW1tbRg7dmzctZkMWRHio4pMeXT4Jt5YCmiNST9NroVQkVL7LCBzG3k+fr0Z0BdGHJIr1tbj7IEIERpBg1JD4p7FEpkSUoMdAERApQkVlEoCuV7ucQ0hmZp/Zx/L/QeUDSFh8+/yuWD1WAGk6pHN0Pr3OpkxKvweSSBVrneGe8QV2peFXzvdhpAIQ46SRzY0/wExgG7nEIRgpnLERTGyfVmSyHVu4OvM4w/A7QtE5GVntHOAwvh5sTYlj3hKhhCCIAhiWPg1JvQ3LEWlxYLy8sT7LZ/fD5WTeT0NBkNiIasJCieDITMiMMXrj6rxD/EeKZHp6wOwWCxobW2Fz+eDVqtN/IQ4HPHty/KOTG0kFVofJYJvhCM9UvE84hmq/K7QOgsIL9YW1sM6ON4KUwVUqYSVZNqQUFjNimIliVSsyhnrEcyqEOfXM5ax6tRhyM0/F05GjRFF2qLk72POkEeTX09rAgzFST9NzhDFUwM8vgBc3qg2ZZnyyMYx5IQ8sqH573X1wi/6IUBAhbEi+ftkav24BgDegizFHH0gcv0X6NRQBb8jY1vIZSg1wOdmKStAbLFImdB0l88Fm4dV/q8wpTD/BEEQxLDw6ssAtQ4mU/JOJ4LIJjwk3e8ffqtbEuLpRtrIp3kjOYSwUCAsNNcZ6xGPKdYGZM6jFqfiu5xHfEhh0UDmPJpSobYhzn9ERALb8Du9fnj9gcgnZFqIy4gom9z8h+XHphR2k7H5D/NmpjAeuardBTpNSAgq9bLOoiFHLkeZr5dyYzk0qhQClzL992soGXZEjiAIoTz9mPnPUEQLv55aF1PEUS40nX9eGtSG1AxRBEEQxPAIfscPN+SXIDJFOtcmCfF0k6mNcIqF2jhyG2HJI+72IRCI6redA0OCVSZHfEj5sUDmPJpDKBQGyEckhOcCD0Z7xTMVWh+nBzQXgoV6mR7KqebHZqr9lELru0TIzb9KJYTSM6I9spn26MvOf+z6H1LFeiBzES0pdmzg8L/fLmcXRDH0WROqkxC9/oPjt3cBPs/QxiqHTdmQk2j902aQIAiCyDQtB1ug1WiwadOmpJ+zfPlylJSUpHUcBw61Qqg9JqVxEEOHhHi6ydhGeGhCRC5HlosQUQTsHgUhmG6Ppk3ZkMBDQ8Ordg+pYjSQQY9m6oXCgMiIBC5EtGoVjMG8WMVe7mmff+WIBLkc5Q5HB4BhRCQMtgOBQPxzU2EI+clAaPy9rl54AyHRrZinz6/v7GN56ekijiFHziM+7IgQV396xz9EQyAP63b6nBj0DkqPK1ZON5YBquA6HEyjMSfO52fIEBI2/1QxnSAIghgCh1ra8cNld6Omrh46nQ4NDQ24+eab0dPTE/d51bXVOHT4cEpdoi655BLs2rVrmCMmcgkJ8XQTHlopivHPTYUhChE5j7hBq4ImGJsbK0SCG1VHN8urTBdD9YinKkS4IWSwE/DL5GAPlaF6xIPzHy1EipR6WfPre2ys0ny6iOPRtMrkKEs9rFONSCisAiAAAV8oJzcdKPRAT0SpoRQaQQMRInqcoS9B7v2MWf+GEkATDL1OpzEnTmqAXLGwIUckGEoAjSF4z+wI2XgYNUYU6Vhot2zl+uiIBJUqM+HpcQwJcoYoqphOEARBpMq+ffsw9/TvY/f+g3j+2X9iz549ePzxx7Fy5UrMnz8fvb29ss/zerxQq9Worq6GRpN8OprRaERlJRUUPZIhIZ5uuJDyu5lXLV1IOcpD88j2u/vh8bNQT0EQlD2CJlYkA0CwwFSaSMIjmBYhbqoABDUAEbB3Jjw9aYaYox8uRJKqnK4vAoLnp1dIKQtZOSEo9XBPVYioNUBh8D1LZ1TIEIsVqgSV5JWVE4Ix8y8ImUkviZMaILUv08fm6KdsCMnU+IdoCAQUKtcn00IunesnjiFKNiKBPOIEQRBEitxw403QabV4/7lHsWDBAowdOxZLly7FBx98gJaWFvz85z8HADQ2NuLXv/41Lr/8cpSVluLuZXfLhqb/5z//wcSJE2EwGLBo0SI8/fQ/INQeg/4B5qiJDk2/++67MWvWLDzzzDNobGxEcXExLr30UthsIcfOu+++i29961soKSlBeXk5zjzzTOzduzcb00PIQEI83Wj0oarIad1IDk0ImnVm6FRMWCdVsC18I5/O8GirvEfN6w/AGaxcLesRTHUjrFJldvwpemSBMCHiiE0PiF8wLwMe2RSFCO8DnRKZ8GjGCa1PhPz8c0OIXC/3DKSXxJ1/5YiEIXlkM1Hwb4gRCYBCnQoemh6vhVwmxh93/sNy9HlESKqGQIIgCCLtiKIIh8en+M/lCcDlCcQ9R/rnDbB/SZwrphDZ2tvbi/fefx/XX3ERjEZDxLHq6mp873vfw4svvihd849//CNmzpyJr9atw7W3XRtzvf379+PCCy/Eueeei82bN+Paa6/Fz3/5y4Tj2Lt3L1577TW8+eabePPNN/Hxxx/j97//vXTcbrdj2bJlWLduHVauXAmVSoXzzjsPgXSmExJJQ33EM0FRDeDoYRvJ6uRzPRTx+1ioNZCyEBEEARaTBS2DLehydKG2sJZdJm4v6xqg/2D6CrbF6UEcXqysUEYIDmkjXDQGsLZkbSOfiEpTJfYO7I0yhMRrITcG6NmdIUNI5PhFUQzziMcKkSELwbZN6S34N8RiYUBYL3dnEhEJ4ffIiCEhwzni4fdI5/ofYkQCEHoNvO4AEG6IUvj8AdI8/nhdA2RSA4J/qym1jiMIgiAygtPrx7Q730vizIMpXDXxd/y2Xy2BSZecVNq9ezdEUcTUieNkj0+dOhV9fX3o6mLfL6eccgpuu+02+Px++Pq8aDnYEnH+X//6V0yePBn/+7//CwCYPHkytnzzNX77u3vjjiMQCGD58uUoKmLRlT/4wQ+wcuVK/Pa3vwUAXHDBBRHnP/XUU7BYLNi2bRtmTJua1Gsl0gd5xDOBOc0eqfAexAWpCyO5Fk6KOcpA+gu2OXoBXiirMNLDyjfBBq0KWjVbjk6fU+rhmxdCxGMH3APBaw9DCDpiQ3PlPeJpXj9+XyhMP2r8Do8f/mDlfL4mRFEcetV6IP2h0aI4LI+sfAu54Py75YRgtiMSlGskDCk0OhNCdogROUDoNYTPfyhHPwufP0CYISc5Qwh5xAmCIIihkKwXfe7cuXGP79y5E8cee2zEY8cde1zC6zY2NkoiHADGjBmDzs7Q/nP37t247LLLMH78eJjNZjQ2NgIADh5MxYhBpAvyiGeCdIdG802wTA/iZJA2wrKh6fE8gmnyaPLrFFgAjS7ikDVOWKhRY0ShtjD1+6W7BRUXgdoClsOdIvEMIVnxyNo7ATHAcucLIj18/P5qlRCq5O61weV3ARiiRzzdod3OPsDHxoPCIeQox53/OKHp6Vo/XierYg7ECEGvPwCXNxAxJm/Ai14XK+gytIiENBtCAv5QvYgUa1QAYaHpyUaEpNsQFW7ISTE0nYq1EQRB5B6jVo1tv1oie8zn92N3H6scPrF0EjRqtfKFAn6gYwv7uWoGoIpzbvC+yTJhwgQIgoDtu/fjvKWxx7dv347S0lJYLOx7paCgIOlrp4JWq434XRCEiLDzs846Cw0NDXjiiSdQU1ODQCCAGTNmwONJY8tQImlIiGeCdPfijtP6KxlyLgTjhOXGLRRmHGIP33QLEWuYN20I45H3yIZ6uceQdkNIWFpA1JfOoDuUn8znmo/TrDPDwCtwp0K6559fx1gGaFMfj5whqjDu+k+zIY2vH62JVTUPIyI1I+gl7nH2QIQItaD+/+ydeXwU9f3/X7P3lfsOBMKdgFyKIEcVNBbUoiiKB4rUKraKF1iPtqKgyE/FepQqWr+KWDyq9bZFAVFbilyKooQb5MqdbDbX3vP7Y/Yzu5vsMbs7s1nM+/l45JFkd47Pvneymdf7RLYhO/bzyf332xroyIldmLI+A92WEWJvBlztwcf2EViawcaXdbg70OISMnKoWRtBEET3w3Fc2BRxt4eDQScEqUw6TRQhzgFaX0BLp4kqxGMhJycH51dU4LlX38ZdN82GMeC56upqrFmzBnPmzJF8XztkyBD861//Cnps2/ZtCa2xoaEBe/fuxd/+9jf84he/AAD897//TeiYRGJQaroSyJ1aGaHjshRCNkuKdCMsRjRljuhLnGGdUH1s4HnkisiKadGxRwOBRJq1yeVIkNKx2/8PLu4Z4gzRESWzIyRO+4cqDYhsf5kj4oH11Z3+AbPr36RTQ+MrzWB/p7nGXKi4OD6i5U6tZw4hS0FcNy2hPn+YI6o1kiPKViXPCEhmB0MGoDMFPdXm9MBXmSFeE2x0WdwZOQRBEESPZMVfnoXD6cTU2bfiq6++wrFjx7B27Vqcf/756NWrl1inLYWbb74Ze/bswb333ot9+/bhH//4B1a9uhpAXDEhAEBWVhZycnLw4osv4sCBA/j888+xYMGC+A5GyAIJcSWQ+0ZerG+MU4gYuzarSpcUEZdJyIZpFCac3xeR1XdtlBR3WqjsEf3w9aVSiNQsLPT4JoUcIREbVcnYMVoUgjKXNsjoCIl8/QcIWTmFYIj1s9KMQEdIQo0KAeUyWuLNyAkYX8Zq5yKWxrDzuNoAR0vX52Mlwgx09vmjVnEw+KIkgY6ouDJyCIIgiB7JoEGDsP3ff0f/Pr0x66qrMWDAAMybNw9TpkzB5s2bkZ0tPcutX79+eOedd/Duu+9ixIgReP755/HH++8HAOh1uih7h0alUuHNN9/Ejh07cNppp+Guu+4Sm8ER3QOlpiuB3BGpBEZnAVGaVUWKyLKIVKI3o7GOzkqkUVjgeeR2JMQrBH32r2+vh5f3QsWpotTodxKCidrf5uvEmd6ry1MhR2cxR0i8abnMTu0NgNshjPRLhAQ6dgNAvlmwv81pg91th0FjkFaa4bYLtd3GrLjOKxIhoh+pUVjcHbvZ9eNsBew2wJAe33EYCdqfvQ631w2rw4osQ1bk0gCdGdBnCA0SW6pkWH/4z89A+4ulGYle/wRBEESPpW/vYqx6ejFQOCJsFtmRI0e6PNarTy+43O6g1PqLL74YF198sfj70kceRu+iAhgMwn3V3LlzMXfuXPH5hx56CA899FDQce+8807ceeed4u8VFRXYvXt30DZigzmvB6UlxeBPfCOsn1AciogrAbvhbqsD3DI0P4gQ0ZFCpNTQiBFZd4dQX5koEYVIVyGYeGq6T4jYmwFne3zHCCSCkJVCjjEHHDi4ebfYhCtiszDWkMzrEjrOJ0oEIcWESHqA/WvaEkxNN2YBap/4liMqm6D907RpMKiF2nImspgjJGRqtNbgF99yZCVEtH/XRmEJX/96C6D3iVc57J/A6D4A0Kq1Yq07e20RpzYAAc5AGZxpEUbfKfL5QxAEQRAy8Nxzz2Hbtm04dOgQXnvtNTyx/Elcf8WvuntZhIyQEFcCUw6g8t1Ys27DiSAK2cRSQ1tcLWj3NS2KGBHXGv1NpeSI6ovrDxGRDTHDOuEbYUOG0BgLAFrlEIKJpUZrVX4hwpwhESOyGh1g8kVD5YjqR7B/a6jU9I4EU9M5Tt469wQzQjiO6+KMijg+C5C34WJLhOs/QkYIa3IWF3Jm5STYLBLo2jAvsEY85KiXdBnT6yOUxjBHZJpexs8fgiAIgpCB/fv345JLLsHQoUPx8MMPY+GCu/DQwpu7e1mEjJAQVwKOk6/zL89HFFJSMGvNMGqE/o31HUIjoohCEJB3BJUY0QyfmmuRs0Y8UAjKGdGMU4gDAeUBvtcWsVkeILMQiZ6REGR/OUY3yVkeIIP9O/dJiJgRAsjsSAjvSIs0QzwhIajE+uOMiANds3LY6+V5oWFaF2R1hEhLTWeQECcIgiBSgaeeegonT56E3W7Hvn378MCf/gSNhqqKf06QEFcKsXN6gjeSdqvQtAiIW4hwHNdlhFlUIS6XI8HVAXT40qsl1MjyPC+TEJGpYZ7H7Y+qx1kaAPhfC2sEJdn+iV4/QY6cCBHBwNR03xoTisjK6UhIsFkhEDDCr41d/4IQdLq9cLhDCEE5Jx9E6DEQcXyfLI4QGSPiCQjxzp8/eo0KGpVQkx21T0WiiI7A3l2eilQaQDPECYIgCIJQEhLiSiFX52ImoozZQsp4nHRNDRVuPMPXaMp0Iy/OUDYLKeOd6BwRtDltcHgcQWuOC7kigq01/hnKlvgdA50jgsz+7U4P3B5v1x3kWn9Hk1DrD4TpGh2cmu7lvWLWRGL2l8mR4OoQXgMga0ZCYAZA5MkBcjhyfOUpEe3ftWt6YqnpMgrxZp+QzegqZKXS+fOH47jIzqh0mRxpgH/9oRwhIXokyFIaQBAEQRAEEQUS4kqRLlNqJRMyGfGlpTM6z1JOD6jR9Hoj1GgmGpEKTCsO0f27tZMQEVNXdekwaAzxn1euGtnAaGAcM5QZ4TISgHCzlGW6ftj6TTlCE7LOT3dqVtVob4SH90DFqZBjzIn/vHI7orSmkI4cqXS2v1rFiWK8VUkh3lYL8J6wjhz/HHfBEdLh7kCLsyVozXEh1/rtzYBvPXI4Qli2BRBtcoNcGTl2wDcXPJQjIVJGDnVNJwiCIAhCSUiIK4VcqZUJdoxmsIZtnSOyQo2mgkIkSn1v54hswjOUGXJF1CLUt8dC51nWWrVKnFsceYSZTEI2TFp359Rotr4cQw40qgTqkJS4fhIY49Y5IgtEKQ+Q7fphjpzCkI6czo4QZn+jxgiL1hL/eeW+fgyZwlixOBHtH2JyQ8SMhEQ/P5kjS2MIOYauc2q6zWmD0ytMuqAacYIgCIIglISEuFLIVaMcIa0yFsTUaJ8QMWgDazQjCJFEU4ujOBLEZmGdhEjCN8GyOUISbxQGdE2NBqKUByTJkdA5IihLozZAmYyEBAg1wi9i53S5rp8Io7OEc4d2hOSb8sW51nEhlyNEhrR0wD/LPbT9Q33++NbfWgN4Q9TwSyWw0WUIe3a2P4vYZ+ozoVPr4j8vQRAEQRBEFEiIK0V6ciLKUuksBKPWaMolpOIVgommhcoWkZUpI6FTajQQLSIolyMhfKMw4dzBEUEmRFgEP25ER06VkHYRLzLbv6a9RhyXFbFzOnOktdUKdd7xEjUjJNj+sjuiWqoBb4geBFKxHRe+y5SRU2+vh8cnrP2p6SHsa84HOJWQ1t9W1/V5qURxZNo6ZeSwzx+KhhMEQRAEoTQkxJUiMLVSFiGSWEQqdGpopBpN341rq3JCxOvl0eoMHxFMiMAa5YTsL48jhEVkG+2NcHmCxVdoIc6EYB3gCdNQTwqxOkISnSHOYELQ1QY4WuI/ToIzxBns+u9wd6DNN4Ug4vVvzhXqunmvIMbjRWJpRnqn618eRxQHeJz+Gul4kCkjJ9uQDRWngpf3otEuTFFIN0TISFBrBDEOJOZMs0WO6IfLyKGO6QRBEARBKA0JcaVgQtDVBjhs8R9H5oi45IisOQ9QaQDw/q7P8RAhotnmdIsaOV2piKC7QxgBFy8y2T9LnyXWXLOu5BGFiClHJvvHVqMvW2q6zgzofc3V5BBSCUZkTVoT0rRpALrOEg95/avU8mQlRJnB7a/RD77+E+7YrdH51998LP7jyNQsUq1SI9eQC6Cr/UM2KwTkaRgp+foPFuLUMZ0gCIKIlbm/vgFcr9OFL7UGHMeB4zhMmzatu5cGANi4cSMuvPBC5OTkwGQyYejQoVi4cCFOnDjR3UtLKTiOw/vvv5+Uc5EQVwpdQJfneBsm8bxsQiTXKNwEt7vbxYhgeqQaZZUKsMiQnh7hRpjdBGvVHPQa4VJkEdmEhaDW6G/OlEjDKpnsz3Gcv2GbJCEYaP9E1h/e/naXB07f6LTONbKypObKUd4gU404EH6EXFghKOf6w/ZIUCgjBPBHgZsT+AcrU2o6EN7+Ia9/QJ7JAdF6VDjY+ESZMxIIgiCIHsm0KRNQ9e1nqDpxHFVVVaiqqsIbb7zR3cvCCy+8gIqKChQWFuKf//wndu/ejZUrV6K5uRlPPvlkdy+vx0JCXEnYjWS8Dc8cNsDZKvycYEQ2KCLYLkEIAgERwTjX73b46ztD3Ai3iKObNGJjKlGIJFqjDCQ+y9rrjVpjHQudR8il6SOkRgMBEcEEhIjYLCzEDOUAAWrWKSAEkxDRjIUu9o+UkQDI02dAXH9XR4LHy4vvgSKp0aIQPx7/MZrlcUQBXe1vEWv0w9lfDkdUtGaRCk1t6KH89a9/RWlpKQwGA8aNG4etW7dG3P7tt99GWVkZDAYDhg8fjn/9619JWilBEIQy6HU6FObnorCwUPzKyhICQ9dccw2uvPLKoO1dLhcmDZmED976AADg9XqxbNky9OvXD0ajESNHjsQ777wjbv/F/7aD63U6NmzYgDFjxsBkMmHChAnYu3dv2DUdP34ct99+O26//Xa8/PLLmDx5MkpLS3H22WfjpZdewqJFi8Rt//nJBgybcjn0RhNKS0u7iPTS0lI88sgjmDNnDiwWCwb074+Nazeisb4Rl116KSwWC0aMGIHt27eL+6xatQqZmZl4//33MWhIGQz9z8LUa27BsWPBGXvPP/88BgwYAJ1OhyFDhuC1114Lep7jOLz00ku49NJLYTKZMGjQIHz44YdB2/zwww+44Nr5sAyaiIKiYlx33XWor/eX6E2ePBm333477rnnHmRnZ6OwsBAPPfRQ0OsDgEsvvRQcx4m/KwUJcSVJNKLGbuKNWUKEPUHCRaTC3ginB9RZxwN73Wo9YMru+nSnRlUer0dM25ZFiIgNw+KMCLY3AF4XAM7/XiZAuFniUR0h8drf0SrMgQYiZiRY9BqoVZ0cIbJExBMUsh63Py1fBiHeeYRcWqSu3UDi6w/KaInsCOlcoy9LanSiQpznA1LTE+tRAQSMUOxgnz9R7C+HI0fs+t5ViPM8L86Qp9T0xHnrrbewYMECPPjgg/jmm28wcuRITJ06FbW1oXss/O9//8PVV1+N3/zmN/j2228xY8YMzJgxAz/88EOSV04QRMrD84CzLewX5+oA5+qIuI345eoQvqRsm0iPoRDMnj0bH330EVpbW8XHPvv0U9g77Ki4qAIAsGzZMqxevRorV67Ejz/+iLvuugvXXnstvvzyy6Bj/fGBB/Dkk09i+/bt0Gg0uOGGG8Ke9+2334bT6cQ999wT8vnMzEwAwI4dOzDrt/fiqounYtd3O/HQQw/hgQcewKpVq4K2f+qppzBx4kR8++23uODCC3H/LffjD7f+AdfMno1vvvkGAwYMwJw5c8TmuADQ3t6OpUuXYvWqV7Dp/ZdhtbXiqmuuEZ9/7733cMcdd2DhwoX44YcfcPPNN+PXv/41Nm7cGHTuxYsXY9asWfj+++9x4YUXYvbs2WhsFHrPWK1WnFtxPkYPG4Lt//471v7rE9TU1GDWrFlBx3j11VdhNpuxZcsWPP7441iyZAnWrVsHANi2bRsA4JVXXkFVVZX4u1IkMCiYiEqiI6hkSotm5JnycKj5kLTUaCDx1NAoM6A7p+U22hvh4T1QcSoxlT4hMkqE79Y4a2SZ/S35gFqb8HLEzvVdHCHhhIjvfbfFKaTYdadLAwzpXZ/uNMPa4XHA6rACkEmIJCpkW6qEZmkqrdCzIEE6j/BTXAi21QFuOwAuZLNFZn+dRgW9Rg2e52VOTfdd//HWiNutQo8LQNnSAKU+f1x2f6O6EJ+hdpcXbi/roC9zj4QeyJ///GfcdNNN+PWvfw0AWLlyJT755BO8/PLLuO+++7ps/8wzz2DatGn4/e9/DwB4+OGHsW7dOqxYsQIrV65M6toJgkhxXO3Ao6Ed8hoAQ5U67x9OCj1vYuDj9f+BZdBEYfIHO8wf/oA//OEPmDp1KsxmM9577z1cd911AIA333wTk6dOhtlihsPhwKOPPor169dj/PjxAID+/fvjv//9L1544QWc84tJ4jGXPvwwzjnnHADAfffdh4suugh2ux0Gg6HLmvbv34/09HQUFUX+X/7np57GeZPG4oG7bgIKB2NwWTl2796NJ554AnPnzhW3u/DCC3HzzTcDAP70pz/hhZUrcdro03D55ZdDo1bj3nvvxfjx41FTU4PCQiGo5HK5sGLFCow7cwxQbcarTy9G+TkzsXXrVowdOxbLly/H3LlzccsttwAAFixYgK+//hrLly/HlClTxHPPnTsXV199NQDg0UcfxbPPPoutW7di2rRpWLFiBUaPGoVH779N2LhwBF5++WWUlJRg3759GDx4MABgxIgRePDBBwEAgwYNwooVK7Bhwwacf/75yMsT/v9nZmaKa1cSiogrSVqCN/IydSxmiBEp381mxGZhQOJCJHCGbwhaHKGjUTmGHLGxWUJkJihEZEyLBvx1p5JToxN1JLBIaIyNqvRqPdJ1XYV7zLDzxlujzN63jF5C87QE6ZqRECUjJFFHAnvf0oqE5mmd6Nwx3eqwwuUV1iJLjXKiEXH2vhmzZcnICZsR4lAoNZ0JeE1Av4jAp33vu4oDzDo13F43GuwNQWslpOF0OrFjxw5UVFSIj6lUKlRUVGDz5s0h99m8eXPQ9gAwderUsNsDgMPhgM1mC/oiCIJIJaZMGIOdn72Bnd/swM6dO7Fz50789re/BQBoNBrMmjULa9asAQC0tbXhww8/xK8u/xUA4MCBA2hvb8f5558Pi8Uifq1evRoHDx4MOs+IESPEn5nADpeBxPO8WAIaico9ezDxzJFBj02cOBH79++Hx+MJee6CAiFwM6h8UJfHAtej0Whw5plnir+XDeyHzMxMVFZWCueurMTEiRO7nJs9H+rcZrMZ6enp4nm+++47bPziC1gGTRS+0jNQVlYGAEH2CzwGINgvnO2UhiLiSpLoLPEoQjZWutbIRmuWxNYfb0Q82uisMDOs5boJzugjfE9YyMpjf1GISM1IyGTrPxrfCdl+7DidiDTDWsoHdlTYeZuVWX+sdM1IiNa1O8HSBva6mUOoE+E6pmcbsqGVIQMjYSEujv6S6fPH2CkjIVppgGh/ZTJybJ16VDS0N8DLe6HhNMg2dC2lIcJTX18Pj8cj3nwxCgoKsGfPnpD7VFdXh9y+ujq842XZsmVYvHhx4gsmCOLUQmsSotMhcHs82GfdBwAYnDkYGnUEx73XA9T4yl8KTovu5NfG7oQ2m4wY2K8PUDgw5PFnz56Nc845B7W1tVi3bh2MRiMmnisIUJay/sknn6BXr+D/vXq9PnhpWv99Artn83q9Idc0ePBgNDc3o6qqKmpUXAqhzq3Raro8Fm49cp2bnYudp7W1FdN/9Ss8tvB64cm8MvE9CHzdkY6RbCgiriSJRtRkTk0XhYjU1Ny0BGvEpUZk9QrVZ4oR8XiF4E++4/SVZTnhUtPDRsQTjehHFeJ+IQLIXB8eeN64HQksIi6PEO8iBKM5ogLXH0+dmLj+0EK8c2mA/I4o33nbaoU07VhR6PNHuiPQFxG3W4V6vliJMnotnCMq15QLFUf/GlOR+++/H83NzeJX50Y/BEH8TOE4IUU8zBevNYLXGiNuI35pjcKXlG3lCEp0YsKECSgpKcFbb72FNWvWYObll4vCcOjQodDr9Th69CgGDhwY9FVSEvpeQgqXX345dDodHn/88ZDPW61WAEB5WRk2bfsu6LlNmzZh8ODBUEdycEjA7XYHNXDbe+AIrFYrysvLhXOXl2PTpk1dzj10qPTCg9NPPx0/7t6N0pJiDOzXJ8h+ZrP0EgOtVhuUAaAkFBFXkoRT0yML2VgRhYhUIShGpOJcf5NPyGaFFrKdhYjsQpAJEdtJofGXOsbLXeaIbOeMhPSoEXGf3VprBCGl7Vr3ExGJQlxx+9ubgQ4rYMyMbX/RESJvRLy2vRY8z0cvDUjvDYAT6rzb6oReAbHAHChhIuKdHSFifbJco7OMWYI339UuiOqcAbHtL2PHdMBv/0Z7I1welz8jIdz1b8j0r7/5BJA7MLYTRslo6XL9s47pckxs6GHk5uZCrVajpqYm6PHA+sDOFBYWxrQ9IESEOkeFCIIgUgmH04nq2noA1WI0VqPRIDfX3/vommuuwcqVK7Fv3z6sW79efDwtLQ1333037rrrLni9XkyaNAnNzc3YtGkT0tPTcf1118a1ppKSEjz11FOYP38+bDYb5syZg9LSUhw/fhyrV6+GxWLBk08+iYUL7sKZ487Cw0/9DVf+5jZs3rIVK1aswHPPPZeQTQBB3N5222149umnoGk+jPl/fAxnnTUOY8eOBQD8/ve/x6xZszB69GhUVFTgo48+wrvvvov1AfaJxq233oq//e1vuPqWP+CeW65H9iAzDhw6jDfffBMvvfSSZGdCaWkpNmzYgIkTJ0Kv14td75WA3P5Kwm4AW6sBT5ib/UhYIwvZWIm7a7ezBXC0xH5CUQiGE+LBqbksIlhglikinlYIqDSA1x1fVoLMQpxF+ltdrWh3tUePCBqzAK3PgxdPerFkId7J/nJlJOgtgClH+DmeqH4UIRsrTOC6vC5YHdbo179G53dGxRPVZ/uEiYjblHaEcFxi6ekyp6Zn6jPF3g/1HfXi63Z6vLC7QnieOS4gK+Gn2E8oUYinhyjNIGJDp9PhjDPOwIYNG8THvF4vNmzYIDYc6sz48eODtgeAdevWhd2eIAjiVGDtxv+haPQvUdSrN4qKilBUVIRJkyYFbTN79mzs3r0bvXr16lIX/fDDD+OBBx7AsmXLUF5ejmnTpuGTTz5Bv379ElrXLbfcgs8++wwnTpzApZdeirKyMtx4441IT0/H3XffDUCIKP9j5WN488NPcdqIkVi0aBGWLFkS1KgtXkwmE+69915cc+11mDjjBljMJrwVMF99xowZeOaZZ7B8+XIMGzYML7zwAl555RVMnjxZ8jmKi4ux6T9fweP14JfX3ILhI0fhzjvvRGZmJlQq6ZL3ySefxLp161BSUoLRo0fH8jJjhiLiSmLJBzQGIaLWfBzIjuGPyOvxp7bKlBod2DU6OCIYRojo0wB9ujDPvPkEkF8m/WQ8HzW1u/PoINlTc1Vq4Sbc+pMg6mIVdDI7QsxaM0waE9rd7ajrqEOaQfCOho3IMiFSVymsJdaIYFRHiHDedKWEICCsv71BWEvh8Nj2ldkRolVrkW3IRqO9EbXttcgzCH+P7U4P3B4vNOoQH9KZfQVB2nQE6D0mthOKf7/SavRld4QAghCv3xefEBeFbOKjywChBivfmI+TbSdR21GLgpxCcJzwUdFid8OgDeGpzuwL1O2JT4hH+ftl9mfzzKljemIsWLAA119/PcaMGYOxY8fi6aefRltbm9hFfc6cOejVqxeWLVsGALjjjjtwzjnn4Mknn8RFF12EN998E9u3b8eLL77YnS+DIAgibla98jJWLbtT+KVwRNga9PLycnG0l7tTCjTHcbjjjjtwxx13dN3R68HkCWPAn/gG8I0cA4BRo0YFjQoLR0VFRZcmmZ2ZedF5mHnReWHXf+TIkS6P/VAXPHaytLQ05Houu+wyXDbjEqD6e+GBwuD7o9/97nf43e9+F3ZtoY7J0uoZgwYNwrsv+Wafh3gNX3zxRZdjvP/++0G/T58+HdOnTw+7DjmhiLiScJxfBDUdiW1f20lhhrVKK3tqusPjgM1pi941GvDfxMZ6I9zeIKSUggsrgMVmSUoLQSD2hm12G9DRJPwcJqIZD4FZCcwB0eb0wOMN8wEqNjyLcf1upz8LoLtS0wPPHav9vV6/EJTR/oF14ux1A0CbI0wtUCJ17s3RhHiw/VntuqxCMJGIuFhaUirbcgJHmKlUHCy6KOUBWXF+fgbuE2b9ne0vuyOwh3HllVdi+fLlWLRoEUaNGoWdO3di7dq1YkO2o0ePoqrKn5k0YcIEvP7663jxxRcxcuRIvPPOO3j//fdx2mmndddLIAiCIIikQhFxpcnqC9TvjV3IitHkEllGNwGATq1Dpj4TVocVde11SDcIN+mtDje8Xh4qVYimFFmlQPWu2G+E2U18WhGgCV3TF6lrt2zE27mbiShjVsgZ3PGSb8rHEdsR1LbXYmSuv2tjq92NDFOITtnMiRGrELQdB8ALo5vMoWeys67dnZu1yRqRjVfIttYAHifAqWWrUQYEIbi3aS/q2uugVatg0Kpgd3lhs7vC2D/O9XdYhUwSwC+GO5GU61/skxCjEHc7/fvIKMRDlce0ONzhs3LYuZti/Pz0eqNnhIQZn0hCPH7mz5+P+fPnh3wuVBTiiiuuwBVXXKHwqgiCIAgiNaGIuNKIN5JHYtuvKXJad7yIDcM6apFuFAQAzwNtzmg3wkdiO5HVt32EtOLAiFSbqw1trjYAcqfmxjmLO8pNfLwERgR1GhX0GuFPMGxWQrwRZXH9JWG7ftoChCDP8woJwThrfJkjJL1X7E32ItBZCFr0Uer0xYyQOB05phyh82oIWsUaZQUdIfFGxJuPAbxXcOTE2qQuAuE614cdIZcZZ0ZOS5XgyFFpItSIBztCWGo6CXGCIAiCkI+5c+d2SSEnBEiIK42Ymh5nRFym+mRGYOd0vUYFrVoQadEjUkdiOxETLhHWz26+0w0aMS3UorXArA0tXOIi3hFgoiNEnvpkBuvIzF5v1IZtGXFGxCXUVwc6QpocTXB5BWEiW9fuwPPHvX750tIB/2vr2rk+miMk1r/fyKPLhHP67e/yuNBobxTWKGdqOhOhsQrxwLRuGce3dJ4cYIlm/6wEPz8zeod15IQtzaCu6QRBEARBJAES4kqTahHxgIgUx3HR68QVXH9gREqxtNCEI+IyC/FOs9yjC0Gf/WJ1JEgS4l3tn23IhlYdIkU7XhIW4srYn42qitqwMDAjweuVfiIJHd/948u04vWgVWmRpZdxTEZgaUMss9Cj1FfHi3j9iyMUBfvboo3w62iMbXKDhPUHXv/trna0uFqC1kgQBEEQBKEkJMSVJt5mZwpFxNlNZk0bi8hGESJZvk7vTUdiu5GPMgOa5/mgOcqKCfHAiHhc61cuNR2QIgQDZqG7ndJPFGNEXJG0aMC/frtVmCculSijv+KlqxD0ZSQ4ws0S7wVwKsDjANpqpZ9IXH94+/tLA4Kvf07GCDQySoQ6e7ddqLuXiihklXMEAhIyQgzpQp8GILaoOFt/REegPyOHrceoMcqbkUMQBEEQBBEGEuJKw24E2xuETtxSESPKpbIuhwmtrrPEwwiRjBIAnNABva1O+omipKbbXV64fZ3COwsRWUnvDYAThIiM648X0RHSOTU9nBA05wkj8MD75zpLQYIQbw1oVqVYx2h9GmDM9q0phqh+lI7j8RLOEdIaTgiqtf7xXbFE9SWk1odyhMhaFgAI62d14o2Hpe+ncES88+dPWPsD8dWJS+j4Hs4RJasjhCAIgiAIIgwkxJXGkB4gRCTeSLrs/tFTMgvBArMgxEUhGK1ZlUbnrzOVmp4upWOxT/hzHGDWacQIvewRWY1O6NwOxCYEo0T04yUwIitpljvHxVcnHsX+bo8X7U5hZJeipQFAfOnpCtWIs/rfens9PF5P9NRowL/+WCKyEhwJSSnNAOIrL1FIiDNHiM1pg91tj+4IBOKrE5cQ0Q9lf5ohThAEQRBEsiAhngxiHcHTfAwAD2jNQtdlGWFCt7qtGoCEGk0g9ht5CaOnWgJGZ6lUnLIzfMUbeYkRwQ6rP41a5tRoFvF0ep2+We5RhDgQu5B1O4VU9sB9OxHYpVrRjITANUhdP89LanYWD9mGbKg5Nby8Fw32huhd04H4Grax6HMYRwjP80HNClnNurJCXOL1z/OKCfE0bRqMGiMA3yx3vZTrP45Z4tbYIuLUMZ0gCIIgiGRDQjwZZMV4I9kUUB8uc5oki4g32Bvg8rgCajQjRaRKfes6Iu0kYsfi8KOn/PWZCs5QZmQPEL43HpK2vTh6KhfQW2RdCpvlDghZCVGb5QGxCynmyNEYhNT2EDD7G7QqaNUq0REie0YCELuQbakG3B2CI0fmjAS1So0co+Dcqmuviy0iK9WR0N4o1MQDQHa/0Js4PfBVZigfEc8O6PMghY4m/wx0mXskcBwX1Lk+amkGEHufDVeHP6MoQmlPYI8K0RFIHdMJgiCIbmLggAF4+umnI27D9Tod76/dmJwFEYpDQjwZMCEl9UZSnMEt700wAGTps6BT6QAInaMlRWRjFeIxdEy36DvNUDYrIASZEGk4KG17hUaXMQLT0yXZP8fnSGg4IO0ELBqb1S/qDHEWEU6KEJTqCGGvM7OPUOMsM0xsCUIwhowEqdc/e51pRWFniLPzaVQcDFpVaqWms+0sBYDOJPtyAuv0pdm/1LcuqZ+fPkeaLg0wZYfcxO7ywOkRuuCnGfxd6ykiThAEQSTCsRPVuGHBQyjuXQKdToe+ffvijjvuQENDQ9LWUF1djdtuuw39+/eHXq9HSUkJpk+fjg0bNiRtDacCc+fOxYwZM7p1DSTEk0GsqZWBEXGZ4TjOXyfeVhN9fBYQ/428hI7FaQYN3F43GuzCB5QiEdmcGCPiTAiy/WQmcJZy1K7RgD+i3yDf+lsDOkaztQAKCZGcgcHrikajz2GisP3rOurEjIzAVP0uxJpRwbbLDr9+0RFl0IDjOGVTo7NidIQolJbOCHaESLj+AyPiUiYfBNaHh3FEBb7fgVMbqEacIAiCiJdDhw5hzIXXYv/ho3hjzd9x4MABrFy5Ehs2bMD48ePR2Nio+BqOHDmCM844A59//jmeeOIJ7Nq1C2vXrsWUKVNw6623Kn5+IjZIiCeDmIUsi2iWKrAYv9gNTI2WNSLesF/4njsw7CYtAaOb6jvq4eW90HAaZBtCR7ASQhRSEiPibP054defCKEjshEcIYGOBClCRBSykezvd4TY3XY0O4SaeEWFeNMRwBPhOmOwzIUIQjYRAjt3S7O/b/3NxwBne/QTiOsPnZYO+HsypBk04Hle2R4J7PppqxP6H0RDYSEe6Iiy6CXYP7MPxMkNUkawxVAfbtFroFZxyo3vIwiCIHoMt86/DTqtFp+9/hzOOecc9OnTBxdccAHWr1+PEydO4I9//KO4bW1tLaZPn440iwVTz5iKj9/5uMvx9u/fj7PPPhsGgwFDhw7FunXroq7hlltuAcdx2Lp1K2bOnInBgwdj2LBhWLBgAb7++mtxu6NHj+KSSy6BxWJBeno6Zs2ahZoa///YhxYvxqhRo/Dyyy+jT58+sFgsuOWWW+DxePD444+jsLAQ+fn5WPboo0Hn5zgOzz//PC644AIYjUb0798f77zzTtA2uyr349wr5sFotiAnJwfz5s1Da2ur+DyLVC9fvhxFRUXIycnBrbfeCpfLf6/gcDhw9913o1evXjCbzRg3bhy++OIL8flVb32IzOwcfPrppygvL4fFYsG0adNQVSWUrj300EN49dVX8cEHH4DjOHAcF7R/siAhngyy+wvfpQqReiZkBymynMCIuKTxQeyG1nZS6OgeDbb+nPDr9wtBf31srikXKk6BS5IJovYGaUKkIbqQTQQxNb2jLiAjIUqzKk4FuNqE+uloiBHxCELc4e8YzaKxBrUB6bp0Ca8gRtKKAY0R8LqllWewyK1SEfGAGmWLFPubsgFDZvDaIiFh/aIjSq9Fq6sVHe4OAAoJcX2af3KAlKwEhYW42DCyvVpaarpG74+Ks8+WSLDXGFGI+x2BPM+LfwMUEScIgkg9eJ5Hu6s95FeHuwN2tx12tx0d7o6w2wlfHWj3OIQvV7Rt28FLCX74aGxsxKeffYZbrr8CRqMh6LnCwkLMnj0bb731lnjMuXPn4tixY1i3fj3+/PKf8ebLb6K2tlbcx+v14rLLLoNOp8OWLVuwcuVK3Hv/H6KuYe3atbj11lthNnctjcvMzBSPfckll6CxsRFffvkl1q1bh0OHDuHKq68O2v7gwYP497//jbVr1+KNN97A//3f/+Giiy7C8ePH8eWXX+Kxxx7DokWL8P2O74P2e+CBBzBz5kx89913mD17Nq666ipUVlYCANra2jB19q3IykzHti1f4+2338b69esxf/78oGNs3LgRBw8exMaNG/Hqq69i1apVWLVqlfj8/PnzsXnzZrz55pv4/vvvccUVV2DatGnYv99/n9De3o7ly5fjtddew1dffYWjR4/i7rvvBgDcfffdmDVrlijOq6qqMGHChIj2VYLQnbQIeckoERpnue2CEIkkMDxuvxDMHazIcgIj4qdJiYibcwF9BuBoFkRGwdDw2/K8/0Y4giMheIavgtFAQBAilgIhmtZ4EOh1RuTt6xWOiAdGZHN9qdERhYhOiAo2HRHWn14U+QRShHiA/QOjsYrMUFaphGu+5gfh2o4msJMVEe+QmBrNccK1fHybkC1ReFrkE7CMBOaAC0Gojt1pOn9HcdnJGSg0MKvfD/QeE3lbdv0oZP9CcyEAVhojoTQAED4Lm44A9fuAfr+IvG39PuF73pCwmwTav9HeCKfXCQ4c1YgTBEGkIB3uDox7fVzSz7vlmi0waaX1Stm/fz94nkf5oNDZcOXl5WhqakJdXR2sViv+/e9/Y+vWrRh9+unY27QHS55ZgosnXCxuv379euzZsweffvopiouLAQCPPvIwLrjoV2HXcODAAfA8j7Kysohr3bBhA3bt2oXDhw+jpESYTrN69WoMGzYM23b+iDNHDQMgCPaXX34ZaWlpGDp0KKZMmYK9e/fiX//6F1QqFYYMGYLHHnsMW/+7FSPOGCEe/4orrsCNN94IAHj44Yexbt06/OUvf8Fzzz2H119/A3aHE6ufeRjm/qcBKjVWrFiB6dOn47HHHkNBgaBRsrKysGLFCqjVapSVleGiiy7Chg0bcNNNN+Ho0aN45ZVXcPToUdE2d999N9auXYtXVq3Co7ddCQBwuVxYuXIlBgwQ7mfmz5+PJUuWAAAsFguMRiMcDgcKCwsj2ktJKCKeDFQqf3SY3SSGw/oT4HUJEcT03oosJzg1nY0vi5AaynFAns8pULcn8sFbqgBnq9DxOit8aq6YGhogBBVNC2VOjboo9u9oAtrrhZ+TEZGVkpoL+EV1tIig2+FvVhUxIutPzVW0PpzBRGm08gCvJyCiHF7IJkKoZnkRr39Aep07z/uvsdzwQpAJzzSDNjkdu3Mlfv4A/r/xCEI2EZgQD4yItzs9cPuap4WE/f1KieiL9g/vyAycIV7dLmSZ5BpzoVXJ3xyQIAiC6DlIiaJXVlZCo9HgjDP8gaH+g/qLEWu2TUlJiSg0AWD8+PEJnzvw2EyEA8DQoUORmZmJyv3+CT2lpaVIS0sTfy8oKMDQoUOhUvnlY35+Phrrg2vfO69z/PjxYkS8ck8lRpYPhtnkDzxMnDgRXq8Xe/fuFR8bNmwY1Gq1+HtRUZGYMbBr1y54PB4MHjwYFotF/Pryyy9x8KA/c9FkMokivPMxUgWKiCeLvMFAzS7hRnjIBeG3C4zGqpTxkwSmpktKzQUEUXF8W/Qbebb+rL5CJDcM7EY4PVCIKCkE84YAR/4T3ZHAorGWQiGSrgD55hi7pgNAXhlwYD1Qtzfydg0HAPBCBkOY0WWB51N8dBaDCcFo6286AngcgiNKgakBQOiu3a0ON7xeHipVmIwA5tSojyIEbScAZwug0kSJiLPrX4PqNsFxosjEAAZzBDZEceS0NQglHIBipTFMiNe118Go89u71eFGpinMZ4ZUR4KjFbAd9+0TXogH1uhXt1UHrYsgCIJILYwaI7ZcsyXkcx6vF/uahHuLwVlDoI507+z1ArU/CD/nnxb1PjuWLLWBAweC4zhU7j+MS0Pc5ldWViIrKwt5ecqVQA0aNAgcx2HPnij3uhLRaoOd0xzHhXzM643gSJfx3Ow8ra2tUKvV2LFjR5BYBwCLyQigNuwxYik3SAYUEU8WUiOy7EZToZtgACg0+SNSkrqmAwER8WhCMHp9uHC+wNT0JAjBPF+aTrT11woeOyXtzyKf9fZ6mPTCn2CrUxCCYRHXXxn54Gz9+eURZ9AH1sgmJSMhf2jw+sLBns8bDKjUkbeNdyk++zc5mmDQCjbneaDd5Qm/E4tuR7M/c/TkDIziiAoQgr6IbJE5SslBIrDPn2gZFfW+v4+MPmFHryVKjiEHGk4DD++B1dkAg1b4G4jojBLXH+Xzk33+mPPCji4LPFeaQSsKcWrURhAEkZpwHAeT1hTyy6gxwqAxwKAxwKgxht1O+DLCpNYLX9po25piKtfLycnB+RUVeO7Vt9HREdxPqbq6GmvWrMGVV14JjuNQVlYGt9uNHTt2iNscPnAYVqtV/L28vBzHjh0Tm4sBCGq2Fors7GxMnToVf/3rX9HW1tbleXZ8duxjx46Jz+3evRtWqxVDByeejdh5nV9//TXKy8uFc5eV47vKfWhr7xCf37Rpk5jqLoXRo0fD4/GgtrYWAwcODPqKJc1cp9PB44lw75cESIgnCzGiE0UIMqGooBBkkbf6jnqYfBGpVoc7spdIqpCt2S18zy+PuJk/NVeTnI7F4vqjeAlrfesvGKbYUrIN2VBzanh5L1y80K2c54E2ZwQhwuxZK3H9UewfqkZc0YisuP7KyJ3fmdDNi7z+RMjQZ0CnEkSyzdUArVr4G4jojGKOhLq9Qvp8ONjfR5S07qDSjLZk2N93/TccEMoXwqFwWjoAqFVqMSshcHJDxPIAJsStxwBn15sLEbHRZeT+GkGOKJ/9KSJOEARBJMKKvzwLh9OJqbNvxVdffYVjx45h7dq1OP/889GrVy8sXboUADBkyBBMmzYNN998M7Zs2YIfv/sRD975IIxGfwS+oqICgwcPxvXXX4/vvvsO//nPf/DHBxZFXcNf//pXeDwejB07Fv/85z+xf/9+VFZW4tlnnxVTxisqKjB8+HDMnj0b33zzDbZu3Yo5c+bgnHPOxpiREfpASeTtt9/Gyy+/jH379uHBBx/E1q1bxWZss2dfA4Neh+vvWIQffvgBGzduxG233YbrrrtOrA+PxuDBgzF79mzMmTMH7777Lg4fPoytW7di2bJl+OSTTySvs7S0FN9//z327t2L+vr6oK7syYKEeLLICxBSkVI4anYJ3xUWghpOAy/vhYO3AgC8PNDmjBQRDKjRjNT5veZH4XtB5IZW4hxlfZJSo5kQbzoCuDrCb8fWn5/4B1E41Co1cow5AACbqxE6tYSIIBNGrdVCHXs4xIh45PUHlgYkJTU3Z5CQru1oFrrvh4M5GphwVACO44Ia5vnr9CPNEu8npMu77ZE7p4tCNvL6bYE1ysz+JgXtn94LMGQInesjRZXrojc6kwOxTrytWtrkBnMuYM4HwPudfaFgf78SHSGUmk4QBEHIxaBBg7D9339H/z69MeuqqzFgwADMmzcPU6ZMwebNm5Gd7c/UeuWVV1BcXIzzzj0Xd869E5fPuRz5+f77YJVKhffeew8dHR0YO3YsbrzxRix9eEnUNfTv3x/ffPMNpkyZgoULF+K0007D+eefjw0bNuD5558HINwHffDBB8jKysLZZ5+NiooK9O/fH2+98YYsdli8eDHefPNNjBgxAqtXr8Ybb7yBoUOF+1KTyYRP1/wVjdZmnDnuLFx++eU477zzsGLFipjO8corr2DOnDlYuHAhhgwZghkzZmDbtm3o06eP5GPcdNNNGDJkCMaMGYO8vDxs2rQppjXIAdWIJ4vcQYBaL9SPWo+Erh/1uP1CJIqQTQQVp0K+KR8n206i2VUPtYqDx8ujxe4SRUkXMvsCOovQiK1hf+iIK88HCPHIjgR/szC1PyKoZETcnAsYs4GORkEsFY8OvV0SIuKAkB5d214rjtBqbHNGFoL6NKH7fvMx4RrpG6ZhR4wRcUuyhIhGJ6Rr1+0RnAUZvUJvJwpZ5SLigPBaj7ce9wlBI5raXZEj4iq1IO6qdgrXeLiMFTG1PgYh2JQE+3Oc8Jny0yZh/YXDQ29X7XMEKuiIAgJGmLVVI80gNMKL2ieh8DTg4OeCs7LkzNDbsPUXjgj9vA8m+tP0GuxJRkYIQRAE0SPo27sYq55eLPwfilBiV1hYiI8//hhujwd7m4R7n9/ffA80ATXPgwcPxn/+8x//Tl4P+BPfRF1DUVERVqxYEVHc9unTBx988EHwg14PUC38T3zowQfx0OJg4R84Poyx4fPPxfUziouL8dlnn4U99/DyQfj87RfD2ijUeZ5++umg37VaLRYvXozFixeHeA3fY+6VF2PuHX8KemrGjBlB2b95eXkR15kMKCKeLNRavziq+j70Ng37hUZVOkvEjuNyIDZsC+icHvFGWKXy37xXfRd6G+tRX6MqbdTUetYsCeo22D1CLY3iQqTId3Mebv2tdUCbMEoqWkQzUVhqbm17bYD9o6TEMHHExEZnHK3+GdASSwOMOh71HUKXeEUjsoFrqvkh9PNuhz+1O9KIPBlg9dhVbVUBndOjCEHmnKkNE5H1uIFq32srHBnxUP6MEA2q2oT6L8Ujsmz94ezv9QLVvs+mosjrTxRxhFl7DdJYRoIjyvXPPn+qw6yf5/3rjyLE2bmSlpFAEARBEATRCRLiyYQJwXBCit1gFgxTrGM6Qxxh1lYjXQiym/NwjgQxLbRMcDxEoNV3I+zghZEHOYYc6NThm1vJQtEo4fvJnaGfZ2UBWf0AvUXRpQTPspbYOZ1F8U+G8YYyB0NasZABEAF2LhdnBQ8eOpUO2Ybwza1kgYmjqp2hn6/+QRjdZ8oRov9KLiXW1GjAL2TD/f3W7wXcHYAuLWLHdMDvCNFoHWh3twetSTHE9YcRstYjgMMmZO50Q2p61Ou/wCfEwzkSWmsERxqnkpwRYtZzYmkMpaYTBEEQBJFMKDU9mTAhUh1GyFb7hJSCaemMoFni+n4AOiSkhkaJKJ/wdX8Ml/bqw+Xxwu4S6uRb3EIEWtGO0QzRkbAz9PPHfevvdUbo52UkaJa1XnBatDikCvFvQz/P7N/r9KjnZzXKdl4YVVVoLoypO2hcsHWd2BH6eeZgKB4dseO7HAQLQZ/9o13/7Lo4sUOIvnZeI3PwFI2I6kgTHSEQ7J+hz4hpTEpcsL/fk98K0e/Oa2R/1wVDozrSEl6KL/pc01aDXlKFeKHvc7H6ByH1rHM6G3MQ5gwCdKaIh/Jn5LTCzbuh4lTINUZ2XhEEQRAEEZlUGw+W6lBEPJkwIchu5DtzbKvwPQlCMCg1VOqNsChkvwvdOfq4b/0lYyMeJvA8Vldd0HoUpXiU8L3mR8Dt7Pr88W3C995jFF9KnjGO1HQmxOv2Ao6Wrs8zIRvl+vF6eTEiyxwhybG/b/3Wo0BbfdfnmYOhOLojIVFEId5e7U+NlpIRotIIkdfmY12fZw4elnkRAfY30OEVMkKSkhZdOFxoOGe3+ubNd0J0JCiblg74S2NicoTkDhayDVxt/uybQJiDR8L62XvthGD/PGMeNCrySxMEQRAEkTxIiCeTolGAxgC0N3Sd5+uy+4VIn7MUX4pYI95WI/1GOK9MuBF2tnS9EfZ6ANZAIqoQF26CjVo16tqTODooqx9gyAQ8zq5ZCTwPnNgu/Nw7TCMoGQnMSLBIdYSkFQjdr8GHTq8/IS2i3+Z0i34gm9NXH54M+xsy/N33QzUbOREQEVeYuFKjtUZ/tsrx7V2fZ460KOvneV78G2j1JNH+aq1/bcxpFsjRzcL3JFz/7PXWddTB5KtIieoIUan9TdqOben6/NH/Cd8lfH6KjpCAjBCCIAiCIIhkQkI8mWh0QC9ftJXdNDKqdgoC0ZwXtb5UDgKFYLrUiKxaA/QZJ/z8U6cW/7W7hY7qurSojc4CO0YnrVEVIKQS950o/Hz4q+Dnmg4LDhK1LmpqvRwECsF00REiYX4hc3Ic+W/w47aTQqSZU/kj/2Fg9teoONTbkzxDWbz+Nwc/3lrrnyGeBCHISiGsDiuMel+ZhBT7s2wJlj3B6GjyO3dKJ0Y8hMPthcsjeEKak5kRAgQI2U5C3Nnmd4T0jbx+Ocg2ZEOj0oAHD04rZHdEdYQAQIlPZB/9Ovhxj8vvHOk7Ieph2Hvd5iYhThAEkVL4IgWU4kykKnJemyTEkw0bO/VTJyHyk0+Yl4xTvD4W8AvxuvY6mPUS5lgz2E16ZyF42DdeofeYiOMaAs8TOMM3KTXiANDvbOF7ZyF+8HPhe68xgEav+DLYjX+rqxV6nQOARPv3nyx8P/RF8OMHNgjfi08XIs8RYGnpaQYNqtuTPEO5/znC94Mbgh9n70fBcMCSp/gy0nRpMGvNwi8aKwAJNfqAX+Qd3Bj8+E//A3ivMKItvTjiIVh9PscBjfYkNwpjQvbwV8HlMce2Co3y0nsBWaWKL0PFqcTPIF7VBMB/XUZEdAT+L3j9Vd8BrnbAmAXkRm40F9ijwsZKM6hjOkEQREqgdTQCHifa2zu6eykEERKnUyhvVasj6x0pUFFcsuk7EcATghAJbDi099/Cdya0FCbXmAs1p4abd0OjawUgMSJY+gvh+5H/ClEo1tRpn2/9g34Z9RDsPGkGbXIj4oBfiB/9WhiXxUT3/nXC90HnJ2UZJq0JmfpMWB1W8BqfEJEkxKcI309sF+rE9WnC78yRMPC8qIcItH/SHSEDzhW+V30n1Imz7u6HfMJ2wOTkrAPCaz5gPQCPqgmARpojZMC5QtZBXaWQgZDZR3icORLY9RUBcYa7XoMaNsPalKQZ1v1+IWR9NB0WymPyfKUCh78UvvedmBRHICC85hOtJ3x12hkSMxLGCnXuLSeFDARWD87+fvtOlNwoDwAa7UnOSCAIgiAiona3I/Onf6M2ewCgUsFkMkVsJuv2eOD1OVftdnvQHO4ueD2A2+fEtdujBo5iJo7j96j1x3mOmFD4+F6vF3V1dTCZTNBoEpfRigrxxsZG3Hbbbfjoo4+gUqkwc+ZMPPPMM7BYwo+Gmjx5Mr788sugx26++WasXLlSyaUmj9JJQp1yW50Q1en3C6Cl2p/qWnZRUpahVqmRa8wVhICmGYDEiGzxaCF9vq1OiMoOOh/osPoj+kOmRT2EKEQMHA53JLFrOiCMNUorAlqqhJv38l8J9fmHfNecBEeCXBSZi2B1WOHmmgAYo8+xBoCsvkKte9NhYP9nwGkzhcZzopCNLsRtITISkhYRtOQLqf/VuwT7j7pamL/NhFSSHFGA0CfhgPUAHGgEkC9NCBqzhKyVo5sF+595o/ChX/mR8DxzNESAOVzSA2dYJ0sI6tMEZ9rBDcDefwlCnOeBH98Tnh88NTnrgP81d/BMiEu4/nUmwdm052Ngzyd+Ib77feF72a+iHoLZ36RTo6ZDsD/rmUEQBEF0P4X7XwfOuRe1tbVRt/V4veIYSs6kgjqSM5b3As3CfSda9YJjXU7iOH6PWn+c54gJpY8PQKVSoU+fPrJMG1JUiM+ePRtVVVVYt24dXC4Xfv3rX2PevHl4/fXXI+530003YcmSJeLvJlPkUTSnFGqtcLO48+/CzW+/XwC7PwDAC2nRUdJa5aTAXICa9hp4VFYA6dKEoFoDDJ0BbPsbsOsdQYj/+B7gdQspoRLq25ng0elb4fV4oVFpkGPMSei1SIbjgOFXAP97FvjuDUGI//iuMP85o8Q/azkJFJmLUNlYCQcaAPSWJgQBYPjlwFdPAN/+XRDilR8KNcqWQkkd95ngMendOOq0AUhyRLBsuiDEv3lVEOL7PxM6kZvzgNLoEWW5YM6HDm89BCEu4foHgMHTBCH+7d+BMb8BjvwHsJ0QSgIkZYQwR5RajIgn1f5DLhCE+K63gYl3CE3+mo4AWrPwXJJgr7nN0wCgn3T7l/1KEOI/vgecc58wv71uD6DSSlq/TcwI6QZHFEEQBBEVDjyK8nORX2SAyxX53qipow0L1t4FAHh12hvIMprDb+xsB/51pfDzvK+ijrqMmTiO36PWH+c5YkLp4wPQ6XRQRXM4SEQxIV5ZWYm1a9di27ZtGDNGaHD0l7/8BRdeeCGWL1+O4uLwgtNkMqGw8Gd8YzT8ckGI71wDjL8V2PSM8PiIK5O6DJYOK6SGpscgBK8QhPiP7wFn3y2IWgA443pJu7MbbrW2GfAI61Ap4LEKy8irhTXv+xSorQQ2/1V4/MzfJC0tFwCKLEIWQLu3HoIQlyhERl8rCPGDG4WZylt82SJnzBUcJVEQHSEGoUlWmjYNFl34LBXZOX0O8OVjgpg9vgP4+jnh8ZFXCw0NkwTLwmjzdS6Pyf4bHxWmHPy0CfjfX4THT5spqb+AODVAb4fDI/QHSFpqOiCsc/1DQM0PQibCjlXC42UXAboo/0BlhL1mm69hnU3q58+QCwB9OlC/D6j8ANj9ofD4oF8Cxsyou7P32aznUN+RxK71BEEQREyo1eqodbg6rwtVTqHMUafXwWAwhN9Y5QFafeNHDXpAF2HbeIjj+D1q/XGeIyaUPr7MKKZ+Nm/ejMzMTFGEA0BFRQVUKhW2bAkxeiaANWvWIDc3F6eddhruv/9+tLe3h93W4XDAZrMFfaU8/ScDfSYAbjvwl9OFaFp6L0GgJBExNdQrdA6WLERKxgq1yh4HsGIM0HgIMGYLQlACYlMmX5OspKWlMwqGAgPPF5pTPXeWIEi0Zsnrlwv2ulvdghiQ1KwKEJpplf0KAA+snCiUNaj1kh0hLDVXoxVKEpKelpteBAybIfz80rlCRFmtB8b8OqnLYNc/E4KSHVHmXGDkVcLPqy4CDqwX6q7H/VbS7uzvTGcQPqtyDDnQqZPngIAp4G/19SuAvZ8I89F/sSB5a4Df/k0OIaWt1eGW1onUmAmcdYvw89tzhYwWcMCU+yWdV3SEGNvh5ZOckUMQBEEQBOFDMSFeXV2N/Pz8oMc0Gg2ys7NRXV0ddr9rrrkGf//737Fx40bcf//9eO2113DttdeG3X7ZsmXIyMgQv0pKSmR7DYrBccCFjwN6X3drjQG4cDmgTa7XptgsZCXY3P4bYUlwHHDRk0KtOyCIkOnPSI6msRR4j6oRQDdFo6Y/A5h8jcI4FTDjr0L9bxIRhYhTSE+WLAQB4FdPA2kBWSWX/FVyWYPocPE5QrrF/hcuDy5juOCxpIztC4Q5QhpiFYIAUPEQkD/U//t5DwJ5kbt1M1jkV61rDlpHUvnFQqBwhP/3s+8R+ickEXbd1fsapvE80Ob0SNt5/K1A0Sj/7xNukzx2kF3/er3gCEl6Rg5BEARBEATiSE2/77778Nhjj0XcprKyMu4FzZs3T/x5+PDhKCoqwnnnnYeDBw9iwIABXba///77sWCBP5Jjs9lODTFeOBy4/Rvgh38KDZ5yByV9CUwANDtjjAgCQM4A4LZvgD0fCTfEUWZXB8LOI6TEd5MQyegF3LpFSO/OLAH6nJX0JTBHSIODCXFBCEpq/mDJA275nzC2LK1QaAIoEWZ/j29sVLcIcVM28Ou1Qrfu3EFCE8AkIwrBjhoAPFweYca3QSuhw6YpG5j7idCkrXA40Ot0yecNcoS4u9P+/wa+f0sQ5CXKz27vDEtNb7Q3QKPywO1Vo8XugkUv4d+SIR34zWdCn4ecQVFntwfSIjpCbIA3yWUBBEEQBEEQPmIW4gsXLsTcuXMjbtO/f38UFhZ26XbodrvR2NgYU/33uHHC3NgDBw6EFOJ6vR56vfJznxXBnAuMu7nbTs9qlOvtQoZCTEIQAMw5caVzMyHSzgsp8d1Wn2nOBUZc0T3nht/+jfZ6AIIQsbu8MOokjlowZgn9BmKE2d/BdaMjBADSCoARs7rn3PCn5Ns9dnDqdvAeM2x2lzQhDvhSvKWVAwTCMk+61RECAHqL0Behm8g2ZEOn0sHpdcJiaYPVlo4WuxtFGRIPoNEn9PkDjRVwUsd0giAIgiC6h5iFeF5eHvLy8qJuN378eFitVuzYsQNnnCF0cv7888/h9XpFcS2FnTt3AgCKirpJLPyMYQKsydEIcC64vdrYhGCcsIhUq7tnz/DNNmRDq9LC5XVBrbXB48pCi92luP1ZaYDd282OkG5Gr9Yj25CNRnsjLOZWtNjMaLG7kZ+m7HnZ9e9CN5ZmpAAcx6HAXIBjLcdgNPqFuNK0+Bwh3u52hBAEQRAE0aNRrDCuvLwc06ZNw0033YStW7di06ZNmD9/Pq666iqxY/qJEydQVlaGrVu3AgAOHjyIhx9+GDt27MCRI0fw4YcfYs6cOTj77LMxYsSISKcj4iBTnwmjxgjA18EcMaanxwm72ba5hCZl3RaR7WZUnEoUASazUK/aIrVOPwFaHT5HiK9beE8e3cSuPaNR6CCfFCHoOwdrktiTI7Ls+tf7Gtcl5/MnuDSmJ1//BEEQBEF0H4p2qFmzZg3Kyspw3nnn4cILL8SkSZPw4osvis+7XC7s3btX7Iqu0+mwfv16/PKXv0RZWRkWLlyImTNn4qOPPlJymT0WjuP8QtAkCBFJs8QTpMXuBjgn2tzdMMM6xWB14oakC0Eezb5u4T3VEQL4rz1dUoWg8B63enwZCT1YCLLXrtZaASTn+mefcR3dXRpDEARBEESPRrE54gCQnZ2N119/PezzpaWlQV2KS0pK8OWXXyq5JKITxeZiHG4+DIPRhhZr8iJSKt+Nt0VrQZpO4VzgFEYUgvokZySo2+Hy+mZYU0Q2ICMkGY4QFwAvWlw0w7rY4uv0rxXSxJNhfza+j40N7Mn2JwiCIAii+6CZLT0cdhOq1VsBKH8j7PHyaHN6wPmEeE+/CWYN21RJFoIqjXC+bEN2cmdYpxhiNoBvlFuyHCGcpgVeeKHm1MgzRu+58XOFCXE2yjBpqemcC20eKwCgl6WX4uckCIIgCILoDAnxHg67EVYlKTWURaNUJMQB+FPTeXVyhAjP84IQ9Nm/J6elA/5sANbBPFmp0cz++aZ8qFXKNudLZdjnjxNCdDpZpRkqXwTerDUjXZeu+DkJgiAIgiA6Q0K8h8OEmFfNhIiyQtDmO75GR/XhgP/1u5MkBB1uL9xeXozA93T7s+ufNe5KRo+EVodLFIJianYPpZdZiEa3e+sB8MnLSAiwv+RxjQRBEARBEDJCQryHw4SIm2MRWWWFCDu+ztAcdP6eCnv9dr4BghBR1v7MEcKEYE+3P2sWZucbAXgVF4Iujxd2l1e0f09Piy40F4IDBw+c4NRtScpI8DtCmCOAIAiCIAgi2ZAQ7+GwGmUHfEJE4fFZTOiw5lg9Xgj6ItIe2AFVR/IcIb6eAD1dCOYac6FRacDDC05jS5r9OYqIAwC0ai3yTEKNPKdtUjwjwe3xot3pIfsTBEEQBNHtkBDv4eSb8qHiVPDCDU7TqnhEkAkRXiPcCPf01GiDxoBsQzYAoW4+WfZX6UiIAIBapRadQSptYxLsLxxfS44QEdYnQaVtUtz+rY7gHhU9/fonCIIgCKL7ICHew9GqtMg35QMAOI1V+YigQxjd5PGlwve29Fb0fKcCTAhy2iTYnwkdDaVGM5gNOF1T0iLizBFC9veL4eRc/8Lx1XpyRBEEQRAE0b2QECcCIoLKR6SE0U028JwHGpVGdAL0ZPz2t4oRO6VotbsBzgGvqhUACRHAL4aFiLjCNfodgiOKV5MQZPgnNzT5HHXK0blHAtmfIAiCIIjugoQ44b8RTlJEUKUTouFF5qIePbqJwdLzk5WazqKx6bp0pOnSFD3fqYBfiCvviLLZhRIQcG6oOTUKTAWKnu9UIEiIJyMizrkAdQsAatZGEARBEET3QUKc8KfmJuFG2GZ3iY2SKC1XwJ+amyz7C44Qsr9AMq//loDrv8BUAI1Ko+j5TgWYGGb253lesXO1BMxwN2qMyNBnKHYugiAIgiCISJAQJ8Q67eQ0q3JDRUIwiMCIoNJdo212N43O6kSvNF9EXKd8anpLgP0pLVqATW5Qaa3weIWu5krREji6zNKLZogTBEEQBNFtkBAn0DvNJ8STLERICAowRwiXpK7dZP9gxIi4xganxwm7S0khSEK8M2KzQrVD8RF+ZH+CIAiCIFIFEuJEgBC0osXuVPRcLXYXOB1FxAMRHSGadji87XC6vYqdS0jNJSESSI4hBwa1ARzHg9M2KyoEqTSjKwaNATmGHADK1+kHlgawsWkEQRAEQRDdAQlxAvmmfGhUGnCcBy7OmrSIIEsJ7umYtWZk6bMACOUBSnZOb7G7xGZ5zAHQ0+E4LqA8QNmshMCMBHKE+BEb5umULc8QSjOsAMj+BEEQBEF0LyTECahVahSZWef0BkWFoM3eDk5jA0ARwUBK0koAsPIA5YSgrSMgNZcigiKBQlBZRwiVZoTC3zAveY4QVptOJE5jYyNmz56N9PR0ZGZm4je/+Q1aW1sj7jN58mRwHBf09dvf/jZJKyYIgiCI7oeEOAEAKElj6enKdo62uerBcTz0Kn86KuHPDuAUnmXd7GgGp7YDoIhgIMnqXG+zO6k0IAT+PhUNCtvfDU7XAMDv/CISZ/bs2fjxxx+xbt06fPzxx/jqq68wb968qPvddNNNqKqqEr8ef/zxJKyWIAiCIFIDmp1DAAiMCCobkWrz1oEDkG8qoo7FAYid6xVumNfsrgEApGkzYdKaFDvPqUayJgdYHQ3gLB6ooKIZ4gGIGSEKO6Ks9haoNK1B5yQSo7KyEmvXrsW2bdswZswYAMBf/vIXXHjhhVi+fDmKi8M7nEwmEwoLC5O1VIIgCIJIKUiIEwACIlIK3gh7vDwcqIMBlJbbmWAhopwQbHXXAQAKTBSNDUQcYabwCLlmdxUAINdQRDPEA/CXZjQoev03OasBI2DSpCNdl67YeXoSmzdvRmZmpijCAaCiogIqlQpbtmzBpZdeGnbfNWvW4O9//zsKCwsxffp0PPDAAzCZTiEHobM9pY7Z7vTAqJHw+eV0Q7Sywq+h3ekGEH5NCY8rTKH34FS0v7BNnO9BCtmeEfU9SDHbC9v1IPsDKfkeMIxaddKDhHQnSABITkSw1eHv2N0nnRqFBZIMRwjPC44QLYBelBYdhFijrFM2Nb3NK2QkFJnJERUIE+Kc1ormDrti57G5qwEA+Qa6/uWiuroa+fn5QY9pNBpkZ2ejuro67H7XXHMN+vbti+LiYnz//fe49957sXfvXrz77rth93E4HHA4HOLvNpst8ReQCMsHdu/5O/GLxzYCvC7qdkbYUWnw/aLwazjjkfXogCH8BpwTaWUJnCCF3oNT0v5A/O9BCtmeEe09SDnbAz3K/kCKvgc+di+ZCpMuudKYasQJAAE1ygp2LRYaJQkdu0mIByOOkNM1KSZE7C4veG09AKBfRqki5zhVEUszNC1obG9R7Dx21AKgtOjO5JnyoIYOHOdFTXt48ZYo7T5HSLGZPn+icd9993Vpptb5a8+ePXEff968eZg6dSqGDx+O2bNnY/Xq1Xjvvfdw8ODBsPssW7YMGRkZ4ldJSTf8HWlNQMlZyp+n5CzhXFEwaGK/jeuAHtu8g+NZVUxs8w5GB/SSt5f8WlLoPfg52R+Q8HpSyPaMWN6DVLY98PO3P5D670GyoYg4ASAgIq5pQWN7myLnaLG7aXRWGPJN+eCgBjgPatpqAcjvJbTZXVBphUZVAzL7yn78U5kMfQb0XBocfAuq248DGCH7ORxuD3gNc4SQ/QNRcSpkaAvQ6DqGevtJxc7jQB1UAErSyRESjYULF2Lu3LkRt+nfvz8KCwtRW1sb9Ljb7UZjY2NM9d/jxo0DABw4cAADBgwIuc3999+PBQsWiL/bbLbki3GOA25YC7gUSKkMRGsSzhV1Of5tdjxQAaPGGHWfdqcHYx4BjHBgx58qZI8AtTvdvkiUHtv/dD5MOnXYbTvcHZj89iIAkJ4SmkLvwalufyDG9yCFbO9fkvT3INVsD/Qs+wOp+R4wjFrp28oFCXECgCBENDDBjXZUtZ0AkEiuWGhsHS6odIIQ6ZtGQiQQtUoNiyofLd4q1HQoI0SEGeKC/fuk91HkHKcyGdoi1DpbUGc/ocjxBUeU4AgZmFWqyDlOZbL1RWh0HUOjq0qR47s9Xng19VAB6J9B13808vLykJeXF3W78ePHw2q1YseOHTjjjDMAAJ9//jm8Xq8orqWwc+dOAEBRUfixcnq9Hnp9CkQ4OA7Qmbt7FV0watUwaaXe1nFCyqbODMieiukW00FNOnXkG20uzhvfFHwPTkn7A7G/Byloe4a09yCFbA/0QPsDKfcedCOUmk6IpGmELs61CgnB6tZ6YXQWz1FEKgQZWsH+dQ5lhEhDezs4bTMAEuKhyNULdcONTmWu/+Z2p5iRUEoR8S4UGIXyAFbHLTetDrc/IyS7VJFz9ETKy8sxbdo03HTTTdi6dSs2bdqE+fPn46qrrhI7pp84cQJlZWXYunUrAODgwYN4+OGHsWPHDhw5cgQffvgh5syZg7PPPhsjRsifjUIQBEEQqQgJcUIkSytEIuodykQEf7IdBQBokQW9OgWiGilGtl6wv9WpjBA/0nwcHMeD4/U0wz0EBSahXKLFo4wQPNlSD07tAHhO7MlA+Cny1W13eGujbBkfje0d4LRWAEB/coTIypo1a1BWVobzzjsPF154ISZNmoQXX3xRfN7lcmHv3r1obxfSKXU6HdavX49f/vKXKCsrw8KFCzFz5kx89NFH3fUSCIIgCCLppHa8nkgq+YbeONQBWF3KRARPtApC3MTR3NhQ5BuLARvQolBE8KfmnwAAOj6fZriHoJdZyNJgDb3k5nCzcP2rvZnkiApBH18DOwenjBA/2HQMHMcDXh1yjbmKnKOnkp2djddffz3s86WlpeB5Xvy9pKQEX375ZTKWRhAEQRApC0XECZEinxBp9SgTka3uOA4ASNeErwHsyfS2COni7bxCEdm2YwAAs4ocIaFg6fpOThkhftSXEaJHfpQteyb9MwX7e9UNQaJNLg5bmSMkhxxRBEEQBEF0OyTECZESXwO1DigjRFjKO0uBJ4Lpl14KAHCqahQRIrUdgv3T1STEQzEgsxQA4FXb0K5AR9KTbYIjyqQqkP3YPwf6Z/UBz3OAyon6jnrZj3+8lRwhBEEQBEGkDiTECZH+vtnSHlUTOtwdsh+/2dcNOc9Io8tC0S+zD3heBZ5zorZd/vTceodQcpCtK5b92D8HitKy4XULczOPtRyT/fi1dkGIZ1BGSEiyTUbwrgwAwP6mI7IfX5gGAZhVJMQJgiAIguh+SIgTIoUBQoSl0coFz/No9Qop18UmEuKhyDQZwTuzAQA/2X6S/fjNbsERUmCiRmGhSDdowbuEJnYHrUdkP36Drxs+a8pHBGPSqcG7hHFZ+xoOy358lhFCjhCCIAiCIFIBEuKESLpBC94pNDGSWwg22BvggR08z6GXhYR4KNIMGnh99j/ULK8QcXlcaPfWAQCKyBESEkuA/Q80yi8E2ViufAM5QkLBcRzUHiFt/6D1kOzHb3AKGQk5Orr+CYIgCILofkiIEyLBQvCIrMdmwp53ZSLLZJL12D8XAu1/oEleIXii9QQAHrxXhwIzpeaGQq3ioPYI9j/SLG9GiNVuhZNvAQAUmUmIh8MAoX/BEZu817/T4xQdIYXGElmPTRAEQRAEEQ8kxAkRi94vBA/KLARZqrvXmYs0A03NC4VeowbnFkSy3I6Qoy3M/jnIMOpkPfbPCaNPCB5rlVeIH2oWIrxeVwayTemyHvvnhEUl9C840Sav/Y/ajoIHD96jR56JHFEEQRAEQXQ/JMQJEY1aBY1XuEk9InNqOouIe505SDNoZT32zwk2Y/1Yi7z2P+xLdSdHSGTMaiE1+qTMQlAU4o58pJP9w5KpEbIFGuwn4fK4ZDvuYRu7/vORYaTPH4IgCIIguh8S4kQQZp8QPC5zRNAvxEkIRsKiEhpJ1bZXySpEDloPAgC8jgKyfwSYELS5mtDsaJbtuKIQd+YjnRxRYck25IL36OCFV9bO9YeszBGSR45AgiAIgiBSAhLiRBDpvo7Cra5mWYXIAesBAIIQISEYnnRdjk+IeHCsVT4hcrCZCfF8pFNEMCyZhnR4fSO0mHiWg8CIOF3/4Uk36OB1Clk5h2VsWBgYESf7EwRBEASRCpAQJ4JI05tFIXLEdkSWYzo9TjG65XUUUEQwAukGLbxOYYTTEZnqxHmeD4gIUkQ8EmkGDbwO1rn7oGzHPWz1CUFHPkVkIyA0LBSu/8MyNmwTSzMoIk4QBEEQRIpAQpwIQhAiQkRKLiFyuPkwPLwHvMcADZ8BvYYuu3AEdk6Xa4RcbXstWl2t4HkVvM4ccoREIM2glf36b3e142TbSQAUkY2G8PnjE+IyRcS9vFc8lofsTxAEQRBEikCKiAgi3aAVI4L7m/bLcszg+mQdOI6T5bg/Ryx6f0RcLiEopqU7c6BT68gREoF0BSLiLLPE6zaD95hJCEYgLSAjRC4hXtteiw53B3heBd6ZTY4ogiAIgiBSArojJ4JIM2jgcQgN2/ZbZRLiPiHoobToqAgRQXnt709LF6KB5AgJT5pBA4+vRpldt4kiOqKceeA4wKyjv4FwBGbkHG4+DJ7nEz6mv1FeDgA1fQYRBEEQBJESkBAnggiskT3QdECWY/oj4pQWGo10gwYeuyDED1oPwuP1JHxMf0ScHCHRSAvICKltr4XNaUv4mP765Hyk6TVQqcgREo40gxZeVw7Ac2h1taKuoy7hYwbaHwAs9DdAEARBEEQKQEKcCCJQiDTYG9Bob0z4mP6IYAHS9JQWGol0oxa8Kxsq6ODwOHC0JfExcoERceqYHhmLXgN4DdDyWQD8tkuE4I7pZP9IpBk0AK+Bxiukp7NpC4kgCnFnHoxaNbRq+rdHEARBEET3Q3ckRBDCjbAOBvhuhBOMigeKSerYHR2hflUFIy/Ms060Tp/nef/oOMpIiAqzj8YjjPGTY4RZ4Axxsn9k0n324VzFAIC9jXsTPua+pn0A6POHIAiCIIjUgoQ4EQSL2OmZEEywTvlI8xF4eS90KjN4dxpFBKOQbhSEgtojCJFE7d9gb4DNaQMHFbzOPMpIiIJ4fbqENOZEI7IOjwNHbcwRlU+NwqLA7O/uEBwhe5sSE+Je3iuKea+9mIQ4QRAEQRApAwlxIgh2o6pyCTfCiQoRtn+GujcAjm6Eo8BSx3lfw7Z9jfsSOh6zf5omH+C1otAnQsPs4+oQyjMSTU3f37QfHt4DozodvDuDrv8oMPt0tAn2TzQifqzlGNrd7dBwOniduVSaQRAEQRBEykBCnAiC3QjL1bCN1YebIER400mIRIRFTJ0dQkQ20Yj4noY9AIAMdV8AoIyEKDD729uFWe4srTleKhsrAQC52n4AOBKCUegcET/cfBgOjyPu4+1pFK7/fEMphI7pZH+CIAiCIFIDEuJEEKIQbPcJceuBhEYIMSGi53sDICEYjQyfUGtrEYT48ZbjaHe1x3283Q27AQBmlAIARWSjwIRyR2sBVJwKdR11qG2vjft4fkdIKQCyfzTMOjVUHMC705Guy4CH9ySUlcMi6jnaUgBkf4IgCIIgUgcS4kQQFr1wo9rWmgkNp0GrqxVVbVVxHYvneVEIqpx9AIBSo6PAHCEddiNyDDngwSckRHY3CvbXeUoAkCMkGml6DTgOAK9D37R+APzOjHhgEVkTWEYCXf+R4DjO9xnEoW/aQACJlWcw+6erBPtTRg5BEARBEKkCCXEiCCYU2pwcBmQKN8LxCpHqtmo02huh4TRw+2ZjZ1BqbkQCZxyXpg8AEH/n9BZnC36y/ST84hAyEkiIREal4pDmc0aVpg0BEP/17/a6xWZjGhdlhEiFZSUUG4Xrn4npeGARcSNPjiiCIAiCIFILEuJEEIE3qkOyhgIAvq//Pq5j/djwIwBgYNZAtHRwAEBdo6OgDhCCJWZBiMQrBJmAKTIXocNuAEBCRApMCPYyDQLgv45j5UjzETg8Dpg0JridOQAoIi4F9hmRpxcyEuLtnN7Q0YDajlpw4KB2Cz0q2N8WQRAEQRBEd0NCnAhCp1FBrxEui35p5QCAH+p/iOtYTMAMyxkGW4cLAKhZlQSYjUrMgv3jdYQwEqeDHwABAABJREFUAV+eXY4Wu1s4NgnBqDAhmK9LzBHC+iMMyR6CVrsHADlCpMDKVzJ9DQb3Ne6Lq08FE/B90vugwyHYnRwhBEEQBEGkCiTEiS4wsdDbVAYA+LH+R3i8npiP82O9IMSH5gxFs0+IU2p6dJgQL9AJqdH7m/bH1bCNCcihOUNhs5MjRCrsGk1T94WKU6G+oz6uhm0sI6Esu4wcITHA7K/nC6FVadHiasHx1uMxH4elpQ/JGiJe/xkmuv4JgiAIgkgNSIgTXWBiIUNdDKPGiHZ3Ow41xzZPmed5MSI+KLMcDrfXd2y6EY4Gs7+az0S+KR8e3hNXVJZFZMtz/BFxighGh0VkOxxq9M/oD8DvVIoF0f7Z5aIQpIh4dMTJAQ4OZdmCM3BX3a6Yj7OrXtinPKdcdATS5w9BEARBEKkCCXGiCyxq2mL3YljOMACxp6cfbz0Om9MGrUqLPL2QYspxJASlwOxv63BjZN5IALGnp7e52nCk+QgAYEhmOdqdlBotFSbWbB0uDM0R+iSw7vNS8Xg9QRkJFBGXDrN/c4cLI/JGAIivPOO7uu8AACPzRlJGDkEQBEEQKQcJcaIL7Ga1ucOF4XnDAfijS1Jh0fDBWYNhdwqXmUWvgUrFybjSnyeiELS7MCLXJ0TqYhMiuxt2gwePfFM+9KoM8XFyhESHXf82u0t0RMUaET9gPYA2VxvMWjMGZAxAq4NlJJAQjIZo/474r//qtmrUttdCzakxLGcYCXGCIAiCIFIOEuJEF8SIrN2N4bmCEI81Is5SSekmOHZYanRgRPC7uu9ialj1Tc03AIDR+aNh6xBEoFGrhlZNf/LRSA8Ugj7776zbCS/vlXyMb2u/BQCMyB2BDhcPj1d47+hvIDrpIRyBlY2VcHgcko/BouGDswbDqDFSs0iCIAiCIFIOuisnupARIASZEN/XtA8d7g7Jx9hesx0AMLpgtL9RGEUDJRGYGl2eUw4Np0F9Rz2q26olH+ObWkGIn55/ekB9MkXDpZARUBpQll0Go8aIFmdLTPPcd9btBACMyh8lOqJ0ahUMWvrIjUZgRk5vS2/kGnPh9rpjiorvrN0JABiRNwKtDjd8fhByhBAEQRAEkTLQXSHRhcDU0AJTAQpMBfDwHvHmNhqtzlaxY/SYgjFiNIpugqWREZCRYNQYMTh7MAB/lC8abq9bfK/OKDjDX59M9pdEYEaCRqXBqLxRAPzOjWjwPI8dNTsABAvxdKMWHEelGdEILA3gOA5nFpwJANhevV3yMbZWbwUAjCkc43eEaFQwaNUyr5YgCIIgCCI+SIgTXQiMSHEch3FF4wD4b26j8W3tt/DyXvS29EahuTAgLZQislIITI0GhKg2IN3+exr3oN3djjRtGgZmDqSIeIwE1ugDgjMDkC4Ej7YcRXVbNbQqLUbljQoozSD7SyHQEQIIYhoAttVsk7R/k70J+5r2AQDOLDiTSmMIgiAIgkhJSIgTXQgU4gAwtnAsAGBL1RZJ+7Pt2A20zReRpRthabDO2kwInlV0FgBg88nNkvb/38n/AQDGFo2FWqUmIRIjGZ0cIWOLfNd/9RZ4vJ6o+7Prf2TeSJi0JsoIiRHx86c9WIh/V/sd7G571P1ZWczAzIHIMeaIPRKoYz1BEARBEKkECXGiC52FOIuI/9jwI5odzVH3/++J/wIAJhZPDDoO1YhLo3NEfEzhGGg4DY63HsexlmNR92dCfELxBAB+QZNJQlAS6Z2u/+G5w5GmTUOzo1nSPPevq74G4P+7IUdIbIjjEx1ueL08+qX3Q4GpAE6vE9uqo0fFN53YBMDvQCT7EwRBEASRipAQJ7oQOMcXAArNhRiYORBe3iuK7HBUtVbhYPNBqDgVxhePBwCKCMaI3/5CJM+sNYvdu6PZv9XZiu9qhVpyZn8SIrHhT013g+d5aFQaUVT/92Rk+zs9TtERQvaPD2Z/nhfEOMdx+EXvXwAA/nPiPxH35XkeXx3/CgBwdu+zAdDnD0EQBEEQqQkJcaILnSOyADC5ZDIA4MtjX0bcl90Ej8gdgQy9ML+6mUYHxQSrkWWp6YDf/huOboi471fHv4Kbd6M0vRQlaSUASAjGCrOTx8uj3Smkok/qNQkA8MWxLyLuu616G9pcbcg15ooTB8j+sWHQqqHXCP+a2GfQ2b0EUf3V8a8ijvGrbKxEXUcdjBpjQGkMff4QBEEQBJF6kBAnutA5NR3wC8H/nPhPxHm+a4+sBQCc2+dc8TF2I0xCRBrMTk63F3aXIATP63MeAKFhWKTygHU/rQMAnN/3fPExcoTEhkGrglYtdDdntpvSZwpUnAq7G3bjmC18ecDnRz8Xti8Rtg88Bl3/0ulcHjCuaBwMagNOtJ7A7sbw5QHrf1oPABhfNB56tT7oGGR/giAIgiBSCRLiRBcyTMINqyNACA7PHY4CUwFaXa1ho4I1bTXi2KZppdPEx5upa3pMmHUaqHxTrpgTo096HwzOGgwP78FnP30Wcr82V5uYuh4oxK0++2eadAqu+ucDx3FBI7QAINuQjTMLhTFan/70acj9nB6n+N4wxwngLzEgR4h0OjfMM2lNojPwk0OfhNzHy3vF5y7od4H4OAlxgiAIgiBSERLiRBcsgULQdxOr4lSYPmA6AODDgx+G3O+jQx+BB4/R+aNRZCkSH2ddi+lGWBoqFYc0Vqfssx0ATO8v2P/dfe+G3O+TQ5/A7rGjNL0UZdll4uMkRGJHrNNv92eFXFAqiLv39r8HL+/tss/GYxthdViRb8oXO90DZP946OwIAYAL+10IAPj34X/D5XF12WdHzQ6cbDsJs9YsinaA7E8QBEEQRGqimBBfunQpJkyYAJPJhMzMTEn78DyPRYsWoaioCEajERUVFdi/f79SSyTCoFJxXVJDAeDiARcDEBqG/WT7KWgfl9eFN/a8AQCYOWhm0HPUNT12QtWJXzzwYmhUGvzQ8AN+bPgxaHue5/HW3rcAALOGzALHceJz1KwqdtJEIeh3hFzQ7wJYtBYcbTkqNmQL5B97/wEAuGTAJVCr1OLjJARjh40aC/z8mdRrEnKNuajvqBdLYAL5++6/AxCycQwag/i4jT5/CIIgCIJIQRQT4k6nE1dccQV+97vfSd7n8ccfx7PPPouVK1diy5YtMJvNmDp1Kuz26LNjCXnp3DkdAPpl9MPZvc+Gl/fipV0vBW3/8cGPUdtei2xDdlBaqNfLo4VqxGMmlP2zDdn4Zd9fAgCe3/l80PYbjm7AvqZ9MGqMosOEQUIwdjqnRgNCevSMgTMAAC9+/2JQ07Dt1duxtXorNCoNrhh8RdCxyBESO377+x0hWrUW15RdAwB4+YeX4fb6nztoPYiNxzYCAOYMnRN0LOqRQBAEQRBEKqKYEF+8eDHuuusuDB8+XNL2PM/j6aefxp/+9CdccsklGDFiBFavXo2TJ0/i/fffV2qZRBhCpYYCwLwR8wAI6enf1n4LALDarXj6m6cBAL8e9mvo1P5a5FanG16fXqEbYemII7Q6gu3/u5G/g5pT48vjX4od6ttcbXhqx1MAgOuGXid2qweEv6tmsUac7C+VUBFZAJg7bC6MGiO+rf0WHx/6GIBQG/7YtscAAJcNvCyoLCPwGBlkf8mEahgJCNkeabo0HLAeEDNwvLwXSzYvAQ8e5/U5D/0z+wftQ44ogiAIgiBSkZSpET98+DCqq6tRUVEhPpaRkYFx48Zh8+bN3biynkm4G+GReSNx8YCL4eW9WPDFAry5503cvP5mNNobUZpeitnls4O2Z0JSp1HBoFWDkIY/Nd0d9HhpRimuKrsKAHD/f+7Hmso1uP3z23G05Sjyjfn49bBfB23f6nDD4/OEkBCRTnoYR1SBuQA3nHYDAGDx5sV4bfdrWPDFAuxp3IMsfRZ+O/K3QdsHOkLI/tIJVRoDABn6DNx5+p0AgD9v/zP+9v3fcO9X9+Kb2m9g1Bjx+zN/3+VY/mZ51CySIAiCIIjUIWXuTKqrqwEABQUFQY8XFBSIz4XC4XDA4fCP07LZbMossIchCvH2rk2R7ht7HyobK7G/aT+WblkqbK/PwJ8n/xladbDYoPrw+AiVGs1YcMYC/FD/A76r+w7/b+v/AwDo1Xo8NeUpWHSWoG2byRESF6FSoxk3Dr8Ru+p34avjX+HxbY8DADQqDZZOWoo8U17Qtm1ODzlC4iBcRg4AXD74cnxT+w0+OfQJnv32WQCAmlPjofEPoZelV5ftaXwiQRAEQRCpSExC/L777sNjjz0WcZvKykqUlZVF3EZOli1bhsWLFyftfD0Ff0SqqxBJ06XhtQtew4pvV+Db2m9RmlGKeSPmoX9G/y7b+jump4zP55QgVI04Q6fW4aVfvoQXv38RX1d9jXxTPm4ddSsGZQ3qsi1FY+Mjkv01Kg3+PPnPeG33a1j/03rkGfNw88ibcVruaV22Zftr1RyM5AiRTLiIOCBMcFg6cSnKs8vx2ZHPkKHPwJxhc4I61TPsLg+cbqHDPf0NEARBEASRSsSkjhYuXIi5c+dG3KZ//65iTAqFhYUAgJqaGhQV+Wssa2pqMGrUqLD73X///ViwYIH4u81mQ0lJSVxrIPyES01nmLVm3Dv23qjHoUZJ8cHquUNlJACAQWPA7affjttxe8TjsP0zyf4xEaprfSB6tR43Dr8RNw6/MeJxmP0zjNqgTvZEZML1SGCoVWpcP+x6XD/s+ojHYZ8/Kg6w6MkZSBAEQRBE6hDTnUleXh7y8vKibxgH/fr1Q2FhITZs2CAKb5vNhi1btkTsvK7X66HX6xVZU0+GCZFwQlwqTMhQanpsZJqEhndN7c6EjkMR8fiI5oiSCjmi4kMu+9sC7E+OEIIgCIIgUgnFmrUdPXoUO3fuxNGjR+HxeLBz507s3LkTra2t4jZlZWV47733AAAcx+HOO+/EI488gg8//BC7du3CnDlzUFxcjBkzZii1TCIMct8IkxCMDRYRt8okBMn+sREtIisVsn98+B2BXUtjYoHsTxAEQRBEqqJYrt6iRYvw6quvir+PHj0aALBx40ZMnjwZALB37140NzeL29xzzz1oa2vDvHnzYLVaMWnSJKxduxYGg0GpZRJhiNQsKRb8ESlKC42FLF9E3JpgRNxKQiQuxNIAckR1C3J9/pAQJwiCIAgiVVFMHa1atQqrVq2KuA3P80G/cxyHJUuWYMmSJUoti5BIpK7dsUA3wvHB7GUNUyMuFZphHR+ZRioN6E6YvZxuL+wuT9wd/2lqA0EQBEEQqUrKzBEnUgu5UtObxGZhuoTX1JPIMvsi4h2uLg6rWCAhGB+ZZsFedpcgBOOF7B8fZp0GKl9JdyLOQMpIIAiCIAgiVSEhToREPiEuRBQzKSIbE5kBEcEOEoJJJ02vgcanBBOJipP940Ol4sQGd4n0SWA15tQsjyAIgiCIVIOEOBESlsrZ7vTA5fHGfRyWWs1qnglpmHRqaNWCEEwkPT1wfBYhHY7j/A3zErE/CfG4YZ8ZTW3kCEl1li5digkTJsBkMiEzM1PSPjzPY9GiRSgqKoLRaERFRQX279+v7EIJgiAIIoUgIU6EJDCClEhUnEUTs8x0IxwLghBMvE6ZvXeUkRA7ctqfIrKxw67ZpgQcIdYO4b0jIa4sTqcTV1xxRcRRo515/PHH8eyzz2LlypXYsmULzGYzpk6dCrvdruBKCYIgCCJ1ICFOhESt4pCmT3yWOIsmZlJEPGZYenozRWS7hUwZGuaR/eMnW4bJAey9yyZHoKIsXrwYd911F4YPHy5pe57n8fTTT+NPf/oTLrnkEowYMQKrV6/GyZMn8f777yu7WIIgCIJIEWimFBGWTLMWLQ533ELE6fai1SHUaFJqeuyII8wSqpElIRgvckTEqVlY/PjtH//139jGelTQ508qcfjwYVRXV6OiokJ8LCMjA+PGjcPmzZtx1VVXdePqTl063B0St/MAnNO/DxffVAI5ji91zacCp6L9xW1+JkR7Lalme3G7nwlSXksqvgcMo8YIjuNkXU80SIgTYck26XCssSPuGk2WFspxJETiIUNMzY3P/l4vL85hptTo2MmiGvFuJSvB6x/wR9PJEZhaVFdXAwAKCgqCHi8oKBCfC4XD4YDD4RB/t9lsyizwFGXyPyZL3jatzLfP24sUWYvSx09FyP7dj5T3gGyvHFL/BlL1PdhyzRaYtCYFVhQeSk0nwsKiSI1x3ggzAZNu0EKtSq6H6edAokKwxe4Gm3xGQjB2xBFyCThCWDZDtpmEYKww+yfSrK2JUtPj5r777gPHcRG/9uzZk9Q1LVu2DBkZGeJXSUlJUs+fihg1RozOH93dy0iY0fmjYdQYu3sZMfNzsT9A70F3Q/bvmVBEnAhLdoJChN1AZ1GjsLjITLBGlkVjjVo19Bp5U396Aok2C2uxu+Hx8kHHIqSTqP3dHm9As0JyhMTKwoULMXfu3Ijb9O/fP65jFxYWAgBqampQVFQkPl5TU4NRo0aF3e/+++/HggULxN9tNluPF+Mcx+HVaa/GlN7a4fLgjIfXAwB2PFABo1bm1NA4jt8dKaFy8HOxP9Az3oNUtT3QM+wPpP57kGxIiBNhYemcjW3x3Qg3UaO2hMhIsFkYpUUnRqYxMUcIyySx6DXkCImDRJu1BTaZzKS/gZjJy8tDXl6eIsfu168fCgsLsWHDBlF422w2bNmyJWLndb1eD71er8iaTmU4jostnZJ3A7zw92XUGGHSynwrqPTxUwyyf/cj+T0g2ytCTH8D9B4EQanpRFjEGs14a8TbKSKeCFkJNqtiQpCisfGRlWBEljUKo9F98ZFoaQyrLU83aKBR0786JTl69Ch27tyJo0ePwuPxYOfOndi5cydaW1vFbcrKyvDee+8BEG7a7rzzTjzyyCP48MMPsWvXLsyZMwfFxcWYMWNGN70KgiAIgkguqe0mILoVsUYz3hpxX0SKGiXFBxPQzR2JlQbkWMj+8ZBo13Rm/2y6/uOCOTDizQjx14eT/ZVm0aJFePXVV8XfR48W6gU3btyIyZMnAwD27t2L5uZmcZt77rkHbW1tmDdvHqxWKyZNmoS1a9fCYDAkde0EQRAE0V2QECfCkp2gEGf7ZdGNcFxkJtisTYzIkhCMCyYE453j3kjXf0JkBaSme708VDE2fKTRZclj1apVWLVqVcRteNY50gfHcViyZAmWLFmi4MoIgiAIInWhfD0iLP4a8Tgj4m0sIk6pufHAapQTTY2miGB8iDXiHa4uIkIKTeQISQjmiPLyQuO7WKHSGIIgCIIgUpkeGxH3eDxwueKfD9wTyNDx6JWmhoHzwG63x7w/73aiV5oa+SZVXPv3RLRaLdRqobGXGJHtcILn+Zi7abKILAnx+GBC0OPlYbO7Y25610gzrBNCr1HDrFOjzelBU7sTGTEKatZkkjISCIIgCIJIRXqcEOd5HtXV1bBard29lJTH6+Xx0JR8cAAOHTqMWKcq/Kq/Buf3yUeOsQOHDx9WZI0/RzIzM1FYWChGZF0eHm1ODyz62P5cG1tJiCeCQauGUatGh8sDa7szZiEu1ohTs7a4yTTp0ObsQGO7E6Uwx7SvlRwhBEEQBEGkMD1OiDMRnp+fD5PJdErO7EsWXp6Hp6YFANAnzxJ75+G6Njg9HvTOMsKsJzESDZ7n0d7ejtraWgDCrF2dRgWn2wtruzN2IU4R8YTJMmnR0exBU7sLfXNi25eVFFBENn6yzFqcsHbENcKsia5/giAIgiBSmB4lxD0ejyjCc3JivKvuoWi0Tnh4HlqdHnptbLOQebUTHKeGyWiCQUdzlKVgNBoBALW1tcjPz0eWSYsamwPWdhd6Z8V2rEbq2p0wmSYdTjbb4xOCZP+EEUf4tcVeRsRS02l8H0EQBEEQqUiPatbGasJNJolD5wmo1ULGgNsbW7Mqnufh8e2jjrHbcU+HXZ8ul8vfMCyOhm2iEKTxZXGTSOd66pqeOImMkGPOE3KEEARBEASRivQoIc6gdHTpaHwi2hOjEPfyPHjwQccgpBF4fYpCMMZZ4l4v70/NJSESN1kJCMEm6lqfMNm+6z8e+zNHCI0vIwiCIAgiFemRQpyQjlolXCKxRsSZcFdxXMzzfwk/maIQiS0i29zhAnvLKCIbP/Ha3+PlYe1g4/vI/vHij4jHnpFgFWv0KTWdIAiCIIjUg4R4D+DIkSPgOA47d+6UvM+qVauQmZkZEBH3xnROd4i09HjW0dPx18jGFhFk0cA0gwbaWJvsESLM/rHWiDd3uMBGj1ONcvxkiaUBsWeEUGo6QRAEQRCpDN2hn0IcO3YMN9xwA4qLi6HT6dC3b1/ccccdaGhoiLhfSUkJqqqqcNppp0k+15VXXol9+/aJQjreiDjVhydGjq++uzFWIU5p0bIQb404s386OUISgmVzxNqszWb3Z4RQajpBEARBEKkI3SGeIhw6dAhjxozB/v378cYbb+DAgQNYuXIlNmzYgPHjx6OxsTHkfk6nE2q1GoWFhdBopDfJNxqNyM/PF4V0rDXibHuqD0+MbLMeANBAQrxbiLdZWBM1apOFeO3Prn+LXgOdhv7NEQRBEASRetAdyinCrbfeCp1Oh88++wznnHMO+vTpgwsuuADr16/HiRMn8Mc//hEAUFpaiocffhhz5sxBeno65s2bFzIl/MMPP8SgQYNgMBgwZcoUvPrqq+A4DlarFUDX1PTlyx7BqFGj8Nprr6G0tBQZGRm46qqr0NLSIh5z7dq1mDRpEjIzM9G/dxHmz70Sx386nDQb/RzJ8Qm5hlZHTPvR6DJ5yPbVF8ebkUD14YmRHbcjhEaXEQRBEASR2vR4Ic7zPNqd7m754nlpUebGxkZ8+umnuOWWW8Q504zCwkLMnj0bb731lni85cuXY+TIkfj222/xwAMPdDne4cOHcfnll2PGjBn47rvvcPPNN4tCvjNMiHt54ODBg3j//ffx8ccf4+OPP8aXX36J//f//p+4bVtbGxYsWIDt27fj7Q//BRWnws3XXw1vjPXlhB8W0abU9O4hx5eREKv9qWO6PAQ2y5P6eQkEjC4j+xMEQRAEkaJIz1X+mdLh8mDook+75dy7l0yFSRf9Ldi/fz94nkd5eXnI58vLy9HU1IS6ujoAwLnnnouFCxeKzx85ciRo+xdeeAFDhgzBE088AQAYMmQIfvjhByxdurTLsVnXdC/Pw+v1YtWqVUhLSwMAXHfdddiwYYO438yZM8X9jDnFWPzkCkweORC7d++OqT6d8MOEBKWmdw+sRr+h1Qme5yWPPhRniFNEPCFYar/T7UWHyyPp8xLwX/9UH04QBEEQRKrS4yPipxJSI0JjxoyJ+PzevXtx5plnBj02duzYkNuq1Zzv3ELaOxPhAFBUVITa2lrx9/379+Pqq69G//79UdanEBeMHwkAOHr0qKR1E11hQrCpzQlvDHX6FJGVBxYRd3q8aHG4Je/ntz+lRieCWacWa7wbWqU7o8TRZZSaThAEQRBEitLjI+JGrRq7l0zttnNLYeDAgeA4DpWVlbj00ku7PF9ZWYmsrCzk5eUBAMxms2xr9Kem89Bqg29qOY4LSjufPn06+vbti7/97W9w6zPQ5nBhZsUEOJ2xRXMJP0xIu708bHaX5AhfIzULkwWjTg2zTo02pwcNrU6kG6QJuyZxhjXZPxE4jkOuWYeTzXbUtzpQkm2StB9lJBAEQRAEker0+Ig4x3Ew6TTd8iU1zTUnJwfnn38+nnvuOXR0dAQ9V11djTVr1uDKK6+UfLwhQ4Zg+/btQY9t27Yt5LaB48cixWMbGhqwd+9e/OlPf8J5552H0oFDYGu2SloPER69Ro00veAviyU9naXm5pAQTJgcC6sTl94wr4ma5clGbppvckAMEfH6FuG9yrWQ/QmCIAiCSE16vBA/VVixYgUcDgemTp2Kr776CseOHcPatWtx/vnno1evXiHru8Nx8803Y8+ePbj33nuxb98+/OMf/8CqVasAoIuYV3GcX4xHUOJZWVnIycnBiy++iAMHDmDTVxuxfMmfYn2ZRAiy45glLnbtJiGeMKw8oD4GIUgZCfLBnEn1MUwOYNvm+pwoBEEQBEEQqQYJ8VOEQYMGYfv27ejfvz9mzZqFAQMGYN68eZgyZQo2b96M7Oxsycfq168f3nnnHbz77rsYMWIEnn/+ebFrul7f9cZV42vYxkdQ4iqVCm+++SZ27NiB0047DY899Acs+OOSGF8lEYrsOEaYUURcPlideCwRWbYt1egnDhPTsWSEMKcJCXGCIAiCIFKVHl8jfirRt29fMXIdjs4d0gGhyVrnRm8XX3wxLr74YvH3pUuXonfv3jAYDACAuXPnYu7cuQAAjZrD7xbch2WPBAvrO++8E3feeaf4e0VFBXbv3g2n24s91TZwEGrIWZQ91DqI6PgjgtKEiN3lQbvTA4AisnIQzyx3FpHNIyGYMKw0oK4ljoh4GtmfIAiCIIjUhIR4D+W5557DmWeeiZycHGzatAlPPPEE5s+fH3Jb1rDNLbFrt8fXwE2j5iTXrRPhyYuxRpZFw7VqTqwvJ+JHHGEmMSLb5nCLjhASgomTG6P9eZ4X/1aoRpwgCIIgiFSF7tJ7KPv378cjjzyCxsZG9OnTBwsXLsT9998fcluNWkhNd3u8IZ/vDBPsGhWJcDlgUdXaFruk7QPToskRkjgsIiu1RpltZ9QKHdeJxGCOqHqJEXFbhxtO32cVpaYTBEEQBJGqkBDvoTz11FN46qmnJG0rRsQ90iLibDs1CXFZYEJEamouE+z5aQbF1tSTyLXE1iyMvU95aXpyhMiAWKMvsWt9vW+7NL0GBokjIgmCIAiCIJINNWsjoqJVx5aa7hZT0+nykgNRiMchBInEYXaslegIqaPRWbKSmxZbjwRxdBld/wRBEARBpDCklIiosK7pLq+01HSXLyLOBDyRGLFHxIXt8kmIyALLLKizxZaaTo4QeWAR8aZ2p6TymHqqDycIgiAI4hSAhDgRFY06vtR0JuCJxMiz+IRgi0NS13mKiMtLfrpgxxaHGx2+JmyRIPvLS7ZZBxUH8Ly0hm00Q5wgCIIgiFMBUkpEVJigdnt5SUKQRc4pIi4PTNA53F60ONxRt/fXiJMQkQOh1lj4G5DSMK+OhKCsqFWc+DdQY5Ng/xayP0EQBEEQqQ8JcSIqLCLO8zw8EurExYg41YjLglGnFseQSUlP90dkqVmbHHAcJ6anS6kTr2sRorYUEZePgnTB/jUSygOqfWK9MIOuf4IgCIIgUhdSSkRUVBwndkCX0rDN5avj1FLXdNmIpU68llKjZYdlF9RKEIIUEZcfvyMkekScRc0pI4QgCIIgiFSGhDghCa0vuu2K0izJ4+Xh5SkiLje5Ejt38zwvinUSIvLB6sQlCcFmX0Q2nSKyclGQzlLTJTiifNtQRJwgCIIgiFSGlNIpwty5c8FxXJevadOmJeX8fiEeOiK+ceNGXHjhhcjPy8W4QcW49NyzcM/v78aJEyeSsr5TBY7j8P7778e8H0vNrY1SI2uzu+FwC84SiojLh9TUdLfHK4r1IhKCsiH1+gf8qekF5AghCIIgCCKFISF+CjFt2jRUVVUFfb3xxhtJOTdrvBYqIv7CCy+goqIChYWF+Psb/8C7n3+NxY89jebmZjz55JNJWd/PHSbqqpojCxGWlpth1MKgVSu+rp5CnsTU9PpWJ7y80GAsh1LTZcMfEY98/dtdHjR3uHz7kBAnCIIgCCJ1ISF+CqHX61FYWBj0lZWVBQC45pprcOWVVwZt73K5kJubi9WrVwMAvF4vli1bhn79+sFoNGLkyJF45513xO2/+OILcByHDRs2YMyYMTCZTJgwYQL27t0bNjX9+PHjuP3223H77bfj5ZdfxvhJv0Cvkj4YP2kSXnrpJSxatEjc9p///CeGDRsGvV6P0tLSLiK9tLQUjzzyCObMmQOLxYK+ffviww8/RF1dHS655BJYLBaMGDEC27dvF/dZtWoVMjMz8f7772PQoEEwGAyYOnUqjh07FnTs559/HgMGDIBOp8OQIUPw2muvBT3PcRxeeuklXHrppTCZTBg0aBA+/PDDoG1++OEHXHDBBbBYLCgoKMB1112H+vp68fnJkyfj9ttvxz333IPs7GwUFhbioYceCnp9AHDppZeC4zjxdymwNOeq5o6I2520Cs9TNFZe/M3CIgtB9v4UpOnFvgpE4uRLbNbG3h+DVoV0g0bxdREEQRAEQcQLCXGeB5xt3fMlYRSYVGbPno2PPvoIra2t4mOffvop2tvbcemllwIAli1bhtWrV2PlypX48ccfcdddd+Haa6/Fl19+GXSsP/7xj3jyySexfft2aDQa3HDDDWFnib/99ttwOp245557AAQ0avMJ98zMTADAjh07MGvWLFx11VXYtWsXHnroITzwwANYtWpV0PGeeuopTJw4Ed9++y0uuugiXHfddZgzZw6uvfZafPPNNxgwYADmzJkTNEatvb0dS5cuxerVq7Fp0yZYrVZcddVV4vPvvfce7rjjDixcuBA//PADbr75Zvz617/Gxo0bg869ePFizJo1C99//z0uvPBCzJ49G42NjQAAq9WKc889F6NHj8b27duxdu1a1NTUYNasWUHHePXVV2E2m7FlyxY8/vjjWLJkCdatWwcA2LZtGwDglVdeQVVVlfi7FIozpUXE2fMkxOWl2GfPk1EcIdU++xeQ/WWlQGKzNibUC9MN4DhyhBAEQRAEkbpQyMDVDjxa3D3n/sNJQGeWvPnHH38Mi8USfIg//AF/+MMfMHXqVJjNZrz33nu47rrrAACvv/46Lr74YqSlpcHhcODRRx/F+vXrMX78eABA//798d///hcvvPACzjnnHPGYS5cuFX+/7777cNFFF8HjFEYydY6I79+/H+np6SgqKvI9LwjkzjPE//znP+O8887DAw88AAAYPHgwdu/ejSeeeAJz584Vt7vwwgtx8803AwAWLVqE559/HmeeeSauuOIKAMC9996L8ePHo6amBoWFhcI5XS6sWLEC48aNAyCI4fLycmzduhVjx47F8uXLMXfuXNxyyy0AgAULFuDrr7/G8uXLMWXKFPHcc+fOxdVXXw0AePTRR/Hss89i69atmDZtGlasWIHRo0fj0UcfFbd/+eWXUVJSgn379mHw4MEAgBEjRuDBBx8EAAwaNAgrVqzAhg0bcP755yMvLw+A4Jxga5dKYYYRgF/ohUMU4pnGmI5PRKbYZ88qqx08z4cVeaw+mRwh8sJS0+tbnXC4PdBrQpddMPvnU1o6QRAEQRApDkXETyGmTJmCnTt3Bn399re/BQBoNBrMmjULa9asAQC0tbXhgw8+wOzZswEABw4cQHt7O84//3xYLBbxa/Xq1Th48GDQeUaMGCH+zAS2tUFIwe7crK2zKHH6GoXpOnVMr6ysxMSJE4MemzhxIvbv3w+PxxPy3AUFBQCA4cOHd3mstrZWfEyj0eDMM88Ufy8rK0NmZiYqKysjnps9H+rcZrMZ6enp4nm+++47bNy4Mch2ZWVlABBkv8BjAIL9AtcaL0zY1bY44I7Qub7Kl5peTEJQVlgH7g6XB9Z2V9jtqsWO6eQIkZNssw4GrfCZEskZxTrWU304QRAEQRCpDkXEtSYhMt1d544Bs9mMgQMHhn1+9uzZOOecc1BbW4t169bBaDSKXdVZyvonn3yCXr16Be2n1wc3ldJqteLPTGSrOEGAu71eeHkeKt/jgwcPRnNzM6qqqlBUVNQlNT1WQp071GNeb+Qxaomem52Lnae1tRXTp0/HY4891mU/5qyIdoxEyLXooVFxcHt51Lc6w45m8qemkxCUE4NWjVyLDvWtTpxs7kCWWRdyOxaRLcygRm1ywnEcijONOFTXhhNNHeibEzqT6ITPEdU7i65/giAIgiBSG4qIc5yQHt4dXzLXME6YMAElJSV46623sGbNGlxxxRWiMBw6dCj0ej2OHj2KgQMHBn2VlJREPbZaxYni2+X2C8vLL78cOp0Ojz/+OADA6RPiOo1waVmtVgBAeXk5Nm3aFHTMTZs2YfDgwVCrE+vu7Xa7gxq47d27F1arFeXl5RHPPXToUMnnOP300/Hjjz+itLS0i/3MZunlBVqtNigDQCpqFSdG+SLVKbPnijIpIig3zLlx0ho+IltlpYisUvTylQcct4a//o83tQdtSxAEQRAEkapQRPwUwuFwoLq6OugxjUaD3Nxc8fdrrrkGK1euxL59+4KakaWlpeHuu+/GXXfdBa/Xi0mTJqG5uRmbNm1Ceno6rr/++ojn5jgOOo0KdpcHTo8Xet9orJKSEjz11FOYP38+mpubMemCmSguKYH1cDPW/P3vsFgsePLJJ7Fw4UKceeaZePjhh3HllVdi8+bNWLFiBZ577rmE7aLVanHbbbfh2WefhUajwfz583HWWWdh7NixAIDf//73mDVrFkaPHo2Kigp89NFHePfdd7F+/XrJ57j11lvxt7/9DVdffbXYFf3AgQN488038dJLL0l2JpSWlmLDhg2YOHEi9Hq92PVeCoUZBpywdghir0/X53meF4VgMUXEZac404BdJ5ojdq5nQrAkO7ZsFyI6LMp9oimS/SkiThAEQRDEqQFFxE8h1q5di6KioqCvSZMmBW0ze/Zs7N69G7169epSF/3www/jgQcewLJly1BeXo5p06bhk08+Qb9+/SSdn9V9O93Bqda33HILPvvsMxw/cQJ33XQtZkwZh5vnzUN6ejruvvtuAEJE+R//+AfefPNNnHbaaVi0aBGWLFkS1KgtXkwmE+69915cc801mDhxIiwWC9566y3x+RkzZuCZZ57B8uXLMWzYMLzwwgt45ZVXMHnyZMnnKC4uxqZNm+DxePDLX/4Sw4cPx5133onMzEyoVNL/jJ588kmsW7cOJSUlGD16dCwvEyU+cXHMJ/Y609zhQodLiLaHS10n4odFxE+Eicg63B5U+VLTS7JIiMsNi3KHsz/P8wFCnOxPEARBEERqQxHxU4RVq1Z1GfUVivLy8qDRXoFwHIc77rgDd9xxR8jnJ0+e3GXfUaNGiY+xG2BniGZhFRUVGDfpHByub4NBq8bggrQu28ycORMzZ84Mu/YjR450eazzekpLS0O+vssuuwyXXXZZ2GP/7ne/w+9+97uwz4c6JkurZwwaNAjvvvtu2GN88cUXXR57//33g36fPn06pk+fHvYYkejji7L+1BBaiLPH89P0MGgTS/cnusKEYLjU9JNWO3geMPrqyQl56RUlIt7c4UKrww2AIuIEQRAEQaQ+FBEnJMMi4i53aKEfrmM6IQ99fA2qjjWGFuJHGtoAAKVhGlkRidEnhzlC2kI+f9T3vvTJNtEMawXolSnYP1xEnEXDcy3kiCIIgiAIIvUhxURIRqcRxEWoiDgAONzBjdoIeREj4o1hhKAvIs4EIyEvzMFxuL4tZAYFc5CUZFM0VglYlPuktSPkCD+qDycIgiAI4lSCFBMhmXA14gz2uD6JQnzu3LldUsh/rvT1CeyTVrs4Ji6QIz4hXkpCXBGY/VvsbjS2Obs87xfiZH8lKEw3wKBVwe3lcSxEevpRn4OKhDhBEARBEKcCJMQJybBIt9vrhSfEbGxHNwjxnkSeRQ+9RgWPl8fJEOm5LGU63IxlIjEMWjWKfE3wjoSo02dN9KhRmzKoVBz65VoAAIfqWrs8f6BWeGxAniWp6yIIgiAIgogHUkyEZNQqFbS+qLjDFSzEeZ7314hrqD5TCVQqLmLDtp98Edm+FBFXDJaefqS+a3nAwVrhsX655AhRiv55gm0P1YWwv++xgfkkxAmCIAiCSH1IiBMxwaLd9k7p6U63Fzx4qDgOWjU1qlIKFu3bV9MS9HiL3YW6FgcAoG82CUGlKPWJ7COdGra5PF4cqhcisoMLu04MIORhgM/+zNYMnucpIk4QBEEQxCkFCXEiJlg3YofbE/R4YKM26hitHEN8Im9vdbAQZ78XphuQYdImfV09hf4+IchEH+NIfRtcHh4WvQbFNMNdMfr7RDbLPmA0tDnR3OECx/mj5gRBEARBEKkMCXEiJsSIeKfUdLtPmFN9uLKUMSHeKSJeWWUDAJQXUTRWScqL0gEAP560BT3O3o9BBRZyRCkIE9kH61qDOtczx0jvLCONLiMIgiAI4pSAVBMRE2JE3BUcEe9wCr8bdXQTrCQsIr6vpgUer1+I7K4ShCATioQyDCsW7Hu0sR02u0t8fF+NLy09nxwhSjK4IA1qFYeGNieqmu3i4ywjZCClpRMEQRAEcYpAQryHUFpaiqeffjriNhzH4f3334+4DYt4Oz3eoFm+HT5hbqJolKL0zTHDoFXB7vKKXdKBwIg4CXElyTLrxNTz3QFR8T0++w8qICGoJAatWswK+e6YVXx8p+/nkSWZyV8UQRAEQRBEHJAQP4U4duwYbrjhBhQXF0On06Fv376444470NDQkLQ11NfV4okH78WFE0fBbDKipKQEv/rVr/CfLzYCAAwUEQcgzDefMWOG7MdVqziUFQpim4kPt8crRgRJiCvP0OIMAP70dJ7nsf2nJgDA6D5Z3baunsKI3pkAgO+ON4uPfXOU7E8QBEEQxKkFCfFThEOHDmHMmDHYv38/3njjDRw4cAArV67Ehg0bMH78eDQ2Niq+hiNHjuCMM87A1k3/wYI/LsGG/23D2rVrMfEX5+DRP/0eOo0KGhVdUkpzVv8cAMD/DgoOmJ3HrOhweZBp0tLorCQworcgxLcfEf7m9te2orHNCaNWjeG9MrpzaT2CUSWCjVlEvKHVIY7zG0URcYIgCIIgThEUU01Lly7FhAkTYDKZkJmZKWmfuXPnguO4oK9p06YptcRTiltvvRU6nQ6fffYZzjnnHPTp0wcXXHAB1q9fjxMnTuCPf/yjuG1tbS2mT58Oo9GIfv36Yc2aNV2Ot3//fpx99tkwGAwYOnQo1q1bF3UNt9xyCziOw4avNqHiwotRWNIfw4YNw5yb5+O1D9bBrNMAAI4ePYpLLrkEFosF6enpmDVrFmpqasTjPPTQQxg1ahRefvll9OnTBxaLBbfccgs8Hg8ef/xxFBYWIj8/H0uXLg06P8dxeP7553HBBRfAaDSif//+eOedd4K22bVrF84991wYjUbk5ORg3rx5aG31d7hmkerly5ejqKgIOTk5uPXWW+Fy+et9HQ4H7r77bvTq1Qtmsxnjxo3DF198IT6/atUqZGZm4tNPP0V5eTksFgumTZuGqqoq8fW9+uqr+OCDD8TrOHD/RJkwQBDimw82gOd5fLWvDgAwaWAu1CpqFKY0vxiUCwD47/56uDxebDkkOERO75sJHTUrVBwW9f7maBPaHG5sOyJEwwfmW5BhpIkB3QH9vycIgiCI2NEodWCn04krrrgC48ePx//93/9J3m/atGl45ZVXxN/1er0SyxPheR4d7g5FzxEOo8YoqcNyY2MjPv30UyxduhRGozHoucLCQsyePRtvvfUWnnvuOXAch7lz5+LkyZPYuHEjtFotbr/9dtTW1or7eL1eXHbZZSgoKMCWLVvQ3NyMO++8M+oa1q5di6VLlyI/Ox2N1S1od7rhdHtg63AhPSMDGUYtvF6vKMK//PJLuN1u3HrrrbjyyiuDxOjBgwfx73//G2vXrsXBgwdx+eWX49ChQxg8eDC+/PJL/O9//8MNN9yAiooKjBs3TtzvgQcewP/7f/8PzzzzDF577TVcddVV2LVrF8rLy9HW1oapU6di/Pjx2LZtG2pra3HjjTdi/vz5WLVqlXiMjRs3oqioCBs3bsSBAwdw5ZVXYtSoUbjpppsAAPPnz8fu3bvx5ptvori4GO+99x6mTZuGXbt2YdCgQQCA9vZ2LF++HK+99hpUKhWuvfZa3H333VizZg3uvvtuVFZWwmaziddydnZ21PdZKmNKs6BVczhh7cDBulZ8ub8eAHD2oDzZzkGEZ2TvTOSYdWhoc2LbkUZs2CP8bY3rl9PNK+sZDMq3oDTHhCMN7VhfWYNPf6wGAJwzmK7/7uJU+X9PEARBEKmEYkJ88eLFABAkgKSg1+tRWFiowIpC0+HuwLjXx0XfUAG2XLMFJq0p6nb79+8Hz/MoLy8P+Xx5eTmamppQV1cHq9WKf//739i6dSvOPPNMAMD//d//Be27fv167NmzB59++imKi4sBAI8++iguuOCCsGs4cOAAeJ5HWVkZdBo1LHoNWh1u/NTQDpfHCxXHwaLXYMOG9di1axcOHz6MkpISAMDq1asxbNgwbNu2TVyT1+vFyy+/jLS0NAwdOhRTpkzB3r178a9//QsqlQpDhgzBY489ho0bNwYJ8SuuuAI33ngjAODhhx/GunXr8Je//AXPPfccXn/9ddjtdqxevRpms5CivWLFCkyfPh2PPfYYCgoKAABZWVlYsWIF1Go1ysrKcNFFF2HDhg246aabcPToUbzyyis4evSoaJu7774ba9euxSuvvIJHH30UAOByubBy5UoMGDAAgCDelyxZAgCwWCwwGo1wOByKXMsmnQa/GJSHz/fU4uq/bUFdiwMcB5xNQiQpqFQcppTl450dx3HvP7/HscYOcBwwfWRxdy+tR8BxHKaPLMZfPj+A5zYexKF6IeNl5um9u3llPZdT5f890ZV2pyf6RilwzJ8rZP/ug2zf/dB7oKAQj5cvvvgC+fn5yMrKwrnnnotHHnkEOTnhI00OhwMOh0P83Wazhd32VCdwbm44KisrodFocMYZZ4iPlZWVBaULVlZWoqSkRBSaADB+/PiYzp1j1qHV4Ra7pWeZdFCpOPHYTIQDwNChQ5GZmYnKykpRiJeWliItzT/qqaCgAGq1GqqAGvOCgoKgSH6odY4fPx47d+4UX9fIkSNFEQ4AEydOhNfrxd69e0UhPmzYMKjV/qZyRUVF2LVrFwAhtd3j8WDw4MFB53E4HEHXoclkEkU4O0bntSrJrVMG4vM9tahrEa79K8eUoNDXzZtQnl9PLMV7357AsUYhm6aivIDq85PIjNG98NwXB8X57UOL0jG0mBoVnmrQ//vuZ8wj67t7CT0asn/3Qbbvfug9SDEhPm3aNFx22WXo168fDh48iD/84Q+44IILsHnz5iDhFMiyZctEb3w8GDVGbLlmS9z7J4JRY4y+EYCBAweC4wSRe+mll3Z5vrKyEllZWcjLUy4iOmjQIHAchz179gAA0o1a5Fj0aGh1wKhVoyhGEajVBtdychwX8jGv1wu5iXSe1tZWqNVq7Nixo8s1Z7FYIh5DiqNELs7om4Wrx5bgH9uPIz9NjwW/HBx9J0I2hhVn4I7zBuHP6/ZhcIEF919Q1t1L6lEMyLPgictH4O63v0NxphHPXDWqu5dExEh3/L8nBIxaNcb0zRKnPSjFmL5ZMNJI0y6Q/bsPsn33Q+9BMDEJ8fvuuw+PPfZYxG0qKytRVhbfTelVV10l/jx8+HCMGDECAwYMwBdffIHzzjsv5D73338/FixYIP5us9mCorHR4DhOUnp4d5KTk4Pzzz8fzz33HO66666gOvHq6mqsWbMGc+bMAcdxKCsrg9vtxo4dO8To8969e2G1WsV9ysvLcezYMVRVVaGoqAgA8PXXX0dcQ3Z2NqZOnYq//vWvuP3222E2m9Er04j8ND3UKg625mZkZmaKxz527Jj4PuzevRtWqxVDhw5N2BZff/015syZE/T76NGjxde1atUqtLW1iVHxTZs2ianuUhg9ejQ8Hg9qa2vxi1/8Iu516nQ6eDzKpscsu2wEHpkxHByEdGkiudx+3iBcd1ZfZJq0kno9EPJy2em9MX5ADrJMOhhOgX+2pxo/x//3hADHcXj7t+PFjDalMGrV9NkYArJ/90G2737oPQgmJiG+cOFCzJ07N+I2/fv3T2Q9XY6Vm5uLAwcOhP3HrNfre0SDlxUrVmDChAmYOnUqHnnkEfTr1w8//vgjfv/736NXr15ih/EhQ4Zg2rRpuPnmm/H8889Do9HgzjvvDBLvFRUVGDx4MK6//no88cQTsNlsQV3Xw/HXv/4VEydOxNixY7FkyRKMGDECbrcb69atw/PPP4/KykpUVFRg+PDhmD17Np5++mm43W7ccsstOOecczBmzJiE7fD2229jzJgxmDRpEtasWYOtW7eKzYFmz56NBx98ENdffz0eeugh1NXV4bbbbsN1110npqVHY/DgwZg9ezbmzJmDJ598EqNHj0ZdXR02bNiAESNG4KKLLpJ0nNLSUnz66afYu3cvcnJykJGR0SWKLgfUJb17yTLrunsJPZqiDGlZRUTs0P/7nzccx8GkS6mkyB4F2b/7INt3P/Qe+InJCnl5eYqmP3fm+PHjaGhoEKO2PZlBgwZh+/btePDBBzFr1iw0NjaisLAQM2bMwIMPPhjUlfuVV17BjTfeiHPOOQcFBQV45JFH8MADD4jPq1QqvPfee/jNb36DsWPHorS0FM8++2zU0TH9+/fHN998g6VLl2LhwoWoqqpCXl4ezjjjDDz//PMAhD+uDz74ALfddhvOPvtsqFQqTJs2DX/5y19kscPixYvx5ptv4pZbbkFRURHeeOMNMdJuMpnw6aef4o477sCZZ54Jk8mEmTNn4s9//nNM53jllVfwyCOPYOHChThx4gRyc3Nx1lln4Ve/+pXkY9x000344osvMGbMGLS2tmLjxo2YPHlyTOsgCILoLuj/PUEQBEEoC8crVNh69OhRNDY24sMPP8QTTzyB//znPwCEemdWa1tWVoZly5bh0ksvRWtrKxYvXoyZM2eisLAQBw8exD333IOWlhbs2rVLshfcZrMhIyMDzc3NSE8Pbt5jt9tx+PBh9OvXDwYDNbY61eA4Du+99x5mzJjR3UtRFLpOCeLnR6T/Tac6qfj/niAIgiCSTaz/lxTLC1i0aBFeffVV8XdWxxsYGdy7dy+am5sBAGq1Gt9//z1effVVWK1WFBcX45e//CUefvhhSkUjCIIgiBSF/t8TBEEQROwoJsRXrVoVdaZoYDDeaDTi008/VWo5BEEQBEEoAP2/JwiCIIjYoUp54pQhmePBCIIgCIIgCIIglELV3QsgCIIgCIIgCIIgiJ4ECXGCIAiCIAiCIAiCSCI9Uoh7vd7uXgJBhIWuT4IgCIIgCIL4edOjasR1Oh1UKhVOnjyJvLw86HQ6cBzX3csiCABCDbzT6URdXR1UKhV0Ol13L4kgCIIgCIIgCAXoUUJcpVKhX79+qKqqwsmTJ7t7OQQREpPJhD59+kCl6pEJKwRBEARBEATxs6dHCXFAiIr36dMHbrcbHo+nu5dDEEGo1WpoNBrK1CAIgiAIgiCInzE9TogDAMdx0Gq10Gq13b0UgiAIgiAIgiAIoodBua8EQRAEQRAEQRAEkURIiBMEQRAEQRAEQRBEEiEhThAEQRAEQRAEQRBJ5GdXI87zPADAZrN180oIgiAIQoD9T2L/o4jEof/3BEEQRCoR6//6n50Qb2lpAQCUlJR080oIgiAIIpiWlhZkZGR09zJ+FtD/e4IgCCIVkfq/nuN/Zu55r9eLkydPIi0tTZYRUDabDSUlJTh27BjS09NlWGFyofV3L7T+7oXW373Q+v3wPI+WlhYUFxdDpaKqMDmQ8/89XavdC62/e6H1dy+0/u6lO//X/+wi4iqVCr1795b9uOnp6afkxcWg9XcvtP7uhdbfvdD6BSgSLi9K/L+na7V7ofV3L7T+7oXW3710x/96cssTBEEQBEEQBEEQRBIhIU4QBEEQBEEQBEEQSYSEeBT0ej0efPBB6PX67l5KXND6uxdaf/dC6+9eaP3EqcKp/l7T+rsXWn/3QuvvXmj98fOza9ZGEARBEARBEARBEKkMRcQJgiAIgiAIgiAIIomQECcIgiAIgiAIgiCIJEJCnCAIgiAIgiAIgiCSCAlxgiAIgiAIgiAIgkgiJMQDOHLkCH7zm9+gX79+MBqNGDBgAB588EE4nc6I+9ntdtx6663IycmBxWLBzJkzUVNTk6RVB7N06VJMmDABJpMJmZmZkvaZO3cuOI4L+po2bZqyCw1DPOvneR6LFi1CUVERjEYjKioqsH//fmUXGob/z959x0dR5n8A/8z2kmx6oSaEEjqhX7AgigIiil30jqKip+KJeHri705R784uVgT1ENudFdFTD1QUsCBKifQSCJ0kkJ7tu/P8/piZJUvqJrs7szvf9+uVl7KZ2efZZzc7833K96msrMQNN9wAm82G5ORk3HTTTaivr2/xnPPOO69R+//xj3+MUo2Bl19+Gbm5uTCZTBg9ejR++eWXFo//8MMP0bdvX5hMJgwaNAhffvlllGratFDqv2zZskZtbTKZoljb09atW4cpU6agc+fO4DgOK1asaPWcNWvWYNiwYTAajejVqxeWLVsW8Xo2J9T6r1mzplHbcxyH0tLS6FT4DI899hhGjhyJxMREZGZmYurUqdizZ0+r5ynt80/ah673dL3vqFi73tO1Xp5rPUDXezmv90q/1lMg3sDu3bvB8zyWLFmCHTt2YOHChVi8eDEeeOCBFs+7++678d///hcffvgh1q5di+PHj+OKK66IUq2DeTweXH311bjttttCOm/ixIk4ceJE4Oc///lPhGrYsvbU/8knn8QLL7yAxYsXY8OGDbBarZgwYQJcLlcEa9q0G264ATt27MDXX3+Nzz//HOvWrcMtt9zS6nmzZ88Oav8nn3wyCrUF3n//fcybNw8PPfQQNm/ejCFDhmDChAkoLy9v8viffvoJ06ZNw0033YQtW7Zg6tSpmDp1KrZv3x6V+p4p1PoDgM1mC2rrQ4cORbHGp9ntdgwZMgQvv/xym44vKSnB5MmTMW7cOBQVFWHu3Lm4+eabsWrVqgjXtGmh1l+yZ8+eoPbPzMyMUA1btnbtWtxxxx34+eef8fXXX8Pr9eKiiy6C3W5v9hylff5J+9H1nq73HRVL13u61st3rQfoei/n9V7x13pGWvTkk0+yHj16NPv76upqptfr2Ycffhh4bNeuXQwAW79+fTSq2KQ33niDJSUltenYGTNmsMsuuyyi9QlVW+vP8zzLzs5mTz31VOCx6upqZjQa2X/+858I1rCxnTt3MgDs119/DTz2v//9j3Ecx44dO9bseWPHjmV33XVXFGrY2KhRo9gdd9wR+Lff72edO3dmjz32WJPHX3PNNWzy5MlBj40ePZrdeuutEa1nc0Ktfyh/F9EEgH3yySctHnPfffexAQMGBD127bXXsgkTJkSwZm3Tlvp/9913DACrqqqKSp1CVV5ezgCwtWvXNnuM0j7/JLzoei8Put5HHl3rlYOu9/JS2rWeRsRbUVNTg9TU1GZ/v2nTJni9XowfPz7wWN++fdG9e3esX78+GlUMizVr1iAzMxP5+fm47bbbUFFRIXeV2qSkpASlpaVB7Z+UlITRo0dHvf3Xr1+P5ORkjBgxIvDY+PHjodFosGHDhhbPfffdd5Geno6BAwdi/vz5cDgcka4uPB4PNm3aFNR2Go0G48ePb7bt1q9fH3Q8AEyYMEGWz3p76g8A9fX1yMnJQbdu3XDZZZdhx44d0ahuhymp7TuioKAAnTp1woUXXogff/xR7uoE1NTUAECL3/fx8h6QptH1Xtnoet8+dK2PrWs9oKz27wglXu+Vdq3Xhf0Z40hxcTFefPFFPP30080eU1paCoPB0Gh9U1ZWlmxrH0M1ceJEXHHFFejRowf279+PBx54AJMmTcL69euh1Wrlrl6LpDbOysoKelyO9i8tLW007Uan0yE1NbXFulx//fXIyclB586dsXXrVvzlL3/Bnj17sHz58ojW99SpU/D7/U223e7du5s8p7S0VBFtDbSv/vn5+Vi6dCkGDx6MmpoaPP300xgzZgx27NiBrl27RqPa7dZc29fW1sLpdMJsNstUs7bp1KkTFi9ejBEjRsDtduP111/Heeedhw0bNmDYsGGy1o3necydOxdnnXUWBg4c2OxxSvr8k/Ci6z1d70OtS6xc7+laH1vXeoCu95GixGu9KkbE77///iaTBjT8OfOP+dixY5g4cSKuvvpqzJ49W6aaC9pT/1Bcd911uPTSSzFo0CBMnToVn3/+OX799VesWbMmJuofaZGu/y233IIJEyZg0KBBuOGGG/DWW2/hk08+wf79+8P4KggAFBYWYvr06SgoKMDYsWOxfPlyZGRkYMmSJXJXLe7l5+fj1ltvxfDhwzFmzBgsXboUY8aMwcKFC+WuGu644w5s374d7733ntxVIR1E1/uW0fW+ZXS9jw90rZeXUq/3SrzWq2JE/J577sHMmTNbPCYvLy/w/8ePH8e4ceMwZswYvPrqqy2el52dDY/Hg+rq6qBe8rKyMmRnZ3ek2gGh1r+j8vLykJ6ejuLiYlxwwQUdfr5I1l9q47KyMnTq1CnweFlZGQoKCtr1nGdqa/2zs7MbJQ7x+XyorKwM6bMwevRoAMIITc+ePUOub1ulp6dDq9U2yvjb0mc3Ozs7pOMjqT31P5Ner8fQoUNRXFwciSqGVXNtb7PZFN873pxRo0bhhx9+kLUOc+bMCSRaam2kREmff9I0ut6Hhq73weLxek/X+ti61gN0vY8EpV7rVRGIZ2RkICMjo03HHjt2DOPGjcPw4cPxxhtvQKNpedLA8OHDodfrsXr1alx55ZUAhCyBhw8fRmFhYYfrDoRW/3A4evQoKioqgi50HRHJ+vfo0QPZ2dlYvXp14EJcW1uLDRs2hJxJtjltrX9hYSGqq6uxadMmDB8+HADw7bffguf5wMW2LYqKigAgbO3fHIPBgOHDh2P16tWYOnUqAGHazurVqzFnzpwmzyksLMTq1asxd+7cwGNff/112D7roWhP/c/k9/uxbds2XHzxxRGsaXgUFhY22j5DrrYPl6Kiooh/zpvDGMOdd96JTz75BGvWrEGPHj1aPUdJn3/SNLreh4au98Hi8XpP1/rYutYDdL0PJ8Vf68Oe/i2GHT16lPXq1YtdcMEF7OjRo+zEiROBn4bH5Ofnsw0bNgQe++Mf/8i6d+/Ovv32W7Zx40ZWWFjICgsL5XgJ7NChQ2zLli3s4YcfZgkJCWzLli1sy5YtrK6uLnBMfn4+W758OWOMsbq6OvbnP/+ZrV+/npWUlLBvvvmGDRs2jPXu3Zu5XC7F158xxh5//HGWnJzMPv30U7Z161Z22WWXsR49ejCn0xn1+k+cOJENHTqUbdiwgf3www+sd+/ebNq0aYHfn/n5KS4uZo888gjbuHEjKykpYZ9++inLy8tj5557blTq+9577zGj0ciWLVvGdu7cyW655RaWnJzMSktLGWOM/eEPf2D3339/4Pgff/yR6XQ69vTTT7Ndu3axhx56iOn1erZt27ao1Lej9X/44YfZqlWr2P79+9mmTZvYddddx0wmE9uxY0fU615XVxf4fANgzz77LNuyZQs7dOgQY4yx+++/n/3hD38IHH/gwAFmsVjYvffey3bt2sVefvllptVq2cqVK6Ne9/bUf+HChWzFihVs3759bNu2beyuu+5iGo2GffPNN7LU/7bbbmNJSUlszZo1Qd/1DocjcIzSP/+k/eh6T9f7joql6z1d6+W71jNG13s5r/dKv9ZTIN7AG2+8wQA0+SMpKSlhANh3330XeMzpdLLbb7+dpaSkMIvFwi6//PKgi3k0zZgxo8n6N6wvAPbGG28wxhhzOBzsoosuYhkZGUyv17OcnBw2e/bswJeb0uvPmLClyd/+9jeWlZXFjEYju+CCC9iePXuiX3nGWEVFBZs2bRpLSEhgNpuNzZo1K+im4szPz+HDh9m5557LUlNTmdFoZL169WL33nsvq6mpiVqdX3zxRda9e3dmMBjYqFGj2M8//xz43dixY9mMGTOCjv/ggw9Ynz59mMFgYAMGDGBffPFF1OralFDqP3fu3MCxWVlZ7OKLL2abN2+Wodant/c480eq74wZM9jYsWMbnVNQUMAMBgPLy8sL+juItlDr/8QTT7CePXsyk8nEUlNT2Xnnnce+/fZbeSrPWLPf9Q3bNBY+/6R96HpP1/uOirXrPV3r5bnWM0bXezmv90q/1nNiJQkhhBBCCCGEEBIFqsiaTgghhBBCCCGEKAUF4oQQQgghhBBCSBRRIE4IIYQQQgghhEQRBeKEEEIIIYQQQkgUUSBOCCGEEEIIIYREEQXihBBCCCGEEEJIFFEgTgghhBBCCCGERBEF4oQQQgghhBBCSBRRIE4IIYQQQgghhEQRBeKEEEIIIYQQQkgUUSBOCCGEEEIIIYREEQXihBBCCCGEEEJIFFEgTgghhBBCCCGERBEF4oQQQgghhBBCSBRRIE4IIYQQQgghhEQRBeKEEEIIIYQQQkgUUSBOCCGEEEIIIYREEQXihBBCCCGEEEJIFFEgTgghhBBCCCGERBEF4oQQQgghhBBCSBRRIE4IIYQQQgghhEQRBeKEEEIIIYQQQkgUUSBOCCGEEEIIIYREEQXihBBCCCGEEEJIFFEgTgghhBBCCCGERBEF4oQQQgghhBBCSBRRIE4IIYQQQgghhEQRBeKEEEIIIYQQQkgUUSBOCCGEEEIIIYREEQXihBBCCCGEEEJIFFEgTgghhBBCCCGERBEF4oQQQgghhBBCSBRRIE4IIYQQQgghhEQRBeKEEEIIIYQQQkgUUSBOCCGEEEIIIYREEQXihBBCCCGEEEJIFFEgTgghhBBCCCGERBEF4oQQQgghhBBCSBRRIE4IIYQQQgghhEQRBeKEEEIIIYQQQkgUUSAeA9asWQOO47BmzRq5q9Kit99+G3379oVer0dycrLc1Ylp5513Hs4777yolslxHBYsWNDqcQsWLADHcZGvEJHVk08+ib59+4Lnebmr0qply5aB4zgcPHhQ7qqE3eLFi9G9e3e43W65q0JiCN03qA/dNxC5KfG+oa2f0Y743e9+h/vuu69d5youEN+2bRuuuuoq5OTkwGQyoUuXLrjwwgvx4osvyl21iFu0aBGWLVsmdzXaZffu3Zg5cyZ69uyJ1157Da+++mqzx0pfyM39lJaWRrHmsc/r9eKFF17AyJEjkZiYiISEBIwcORIvvPACvF6v3NXDmjVrcMUVVyA7OxsGgwGZmZmYMmUKli9fLnfV4sI///lPrFixIqzPWVtbiyeeeAJ/+ctfoNEEXyZcLhcWLlyI0aNHIykpCSaTCX369MGcOXOwd+/esNbjTJF4rUo3c+ZMeDweLFmyRO6qKBbdNyyTuxrtQvcN8qH7BnWL9n0DAFRXV8NkMoHjOOzatSusZcvtL3/5C15++eV2fQ/pIlCfdvvpp58wbtw4dO/eHbNnz0Z2djaOHDmCn3/+Gc8//zzuvPNOuasYUYsWLUJ6ejpmzpwZ9Pi5554Lp9MJg8EgT8XaYM2aNeB5Hs8//zx69erVpnNeeeUVJCQkNHqcesXbzm63Y/LkyVi7di0uueQSzJw5ExqNBitXrsRdd92F5cuX44svvoDVapWlfg899BAeeeQR9O7dG7feeitycnJQUVGBL7/8EldeeSXeffddXH/99bLULV7885//xFVXXYWpU6eG7TmXLl0Kn8+HadOmBT1+6tQpTJw4EZs2bcIll1yC66+/HgkJCdizZw/ee+89vPrqq/B4PGGrx5mae61/+MMfcN1118FoNEasbLmYTCbMmDEDzz77LO68804aVToD3TfQfQNA9w2hoPsGEs37BsmHH34IjuOQnZ2Nd999F3//+9/DVrbcLrvsMthsNixatAiPPPJISOcqKhD/xz/+gaSkJPz666+NvlTLy8vlqZQCaDQamEwmuavRIun9CeVieNVVVyE9PT1CNVKHefPmYe3atXjxxRcxZ86cwOO33XYbXn75ZcyZMwd//vOf8corr0S9bh999BEeeeQRXHXVVfj3v/8NvV4f+N29996LVatWKaLnnTT2xhtv4NJLL230vTNz5kxs2bIFH330Ea688sqg3z366KP4v//7v2hWM0Cr1UKr1cpSdjRcc801ePLJJ/Hdd9/h/PPPl7s6ikL3DU2j+wbSHLpvIJHQ3H2D5J133sHFF1+MnJwc/Pvf/46rQFyj0eCqq67CW2+9hYcffji0DnOmIPn5+ey8885r9biSkhIGgL3xxhuNfgeAPfTQQ4F/P/TQQwwA27NnD7vhhhuYzWZj6enp7K9//SvjeZ4dPnyYXXrppSwxMZFlZWWxp59+Ouj5vvvuOwaAvf/++2zBggWsc+fOLCEhgV155ZWsurqauVwudtddd7GMjAxmtVrZzJkzmcvlCnqOpUuXsnHjxrGMjAxmMBhYv3792KJFi4KOycnJYQCCfsaOHRtUh++++y7onA8++IANGzaMmUwmlpaWxm644QZ29OjRoGNmzJjBrFYrO3r0KLvsssuY1Wpl6enp7J577mE+n6/VtmaMsZdffpn179+fGQwG1qlTJ3b77bezqqqqFuve8D04k/SenDx5stljSktLmVarZQsWLGj0u927dzMA7MUXXww8VlVVxe666y7WtWtXZjAYWM+ePdnjjz/O/H5/4Bjpc/PUU0+xJUuWsLy8PGYwGNiIESPYL7/80mo7VFRUsHvuuYcNHDiQWa1WlpiYyCZOnMiKioqCjmv4mfn73//OunTpwoxGIzv//PPZvn37Gj2vVBeTycRGjhzJ1q1bx8aOHRt4/5tz5MgRptVq2fnnn9/sMePGjWM6nY4dOXIk8JjL5WJz585l6enpLCEhgU2ZMoUdOXKkyfft+++/ZyNGjGBGo5Hl5eWxxYsXB96/1vTt25elpqay2traVo9ljLGysjJ24403sszMTGY0GtngwYPZsmXLgo5p+B6+9NJLrEePHsxsNrMLL7yQHT58mPE8zx555BHWpUsXZjKZ2KWXXsoqKiqCniMnJ4dNnjyZrVq1ig0ZMoQZjUbWr18/9vHHHzeq0/79+9lVV13FUlJSmNlsZqNHj2aff/550DGhvt8///wzmzBhArPZbMxsNrNzzz2X/fDDD0HHSG28b98+NmPGDJaUlMRsNhubOXMms9vtgePO/LsDwGbMmMEYY6y2tpbdddddLCcnhxkMBpaRkcHGjx/PNm3a1OL7cODAAQagUdv//PPPDACbPXt2i+c3tHr1anb22Wczi8XCkpKS2KWXXsp27twZ9tf6xhtvMACspKQkcLz0Pn///fds5MiRzGg0sh49erA333yzyfLP1NRzMtb696FUtlS3hpr6u37hhRdY//79mdlsZsnJyWz48OHs3XffbXRuamoq+9Of/tTocbWj+wa6b5DQfQPdN9B9g7LuGySHDh1iHMexDz74gG3YsIEBYD/++GOj48aOHcsGDBjAduzYwc477zxmNptZ586d2RNPPBF0nNvtZn/729/YsGHDmM1mYxaLhZ199tns22+/bfScTX1GN2/ezCZOnMgSExOZ1Wpl559/Plu/fn2jc3/77Td27rnnMpPJxLp06cIeffRRtnTp0ibvDT799FMGgG3evLnFtmpUv5COjrCLLrqIJSYmsm3btrV4XHsuqAUFBWzatGls0aJFbPLkyQwAe/bZZ1l+fj677bbb2KJFi9hZZ53FALC1a9cGzpf+WAoKClhhYSF74YUX2J/+9CfGcRy77rrr2PXXX88mTZrEXn75ZfaHP/yBAWAPP/xwUJ1GjhzJZs6cyRYuXMhefPFFdtFFFzEA7KWXXgoc88knn7CuXbuyvn37srfffpu9/fbb7KuvvgqqQ8MLqnSTOHLkSLZw4UJ2//33M7PZzHJzc4MudjNmzGAmk4kNGDCA3XjjjeyVV15hV155JQPQ6KLeFKn9xo8fz1588UU2Z84cptVq2ciRI5nH4wnU/fLLL2cA2CuvvMLefvtt9ttvv7X6nHv27GEnT54M+mlY9/PPP5/179+/0fkPP/ww02q1rLS0lDHGmN1uZ4MHD2ZpaWnsgQceYIsXL2bTp09nHMexu+66K3Ce9LkZOnQo69WrF3viiSfYk08+ydLT01nXrl0Dr6c5v/76K+vZsye7//772ZIlSwJf3ElJSezYsWOB46T3a+jQoWz48OFs4cKFbMGCBcxisbBRo0YFPefrr7/OALAxY8awF154gc2dO5clJyezvLy8Vi+or776aotffIyd/py89tprgcd+//vfMwDs+uuvZy+99BK74oor2ODBgxv97WzdupWZzWbWvXt39thjj7FHH32UZWVlBY5tyd69exkAduONN7Z4nMThcLB+/foxvV7P7r77bvbCCy+wc845hwFgzz33XOA46T0sKChg/fv3Z88++yz761//ygwGA/vd737HHnjggUBbSn+ns2bNCiorJyeH9enThyUnJ7P777+fPfvss2zQoEFMo9EE/uYYE27qsrKyWGJiIvu///s/9uyzz7IhQ4YwjUbDli9fHjgulPd79erVzGAwsMLCQvbMM8+whQsXssGDBzODwcA2bNgQOE76Gxk6dCi74oor2KJFi9jNN9/MALD77rsvcNzbb7/NjEYjO+eccwLfGz/99BNjjLHrr7+eGQwGNm/ePPb666+zJ554gk2ZMoW98847Lb4X77zzDgPAtm7dGvT4Aw88wACwdevWtfZ2MsYY+/rrr5lOp2N9+vRhTz75JHv44YdZeno6S0lJCbqAheO1NheI5+fns6ysLPbAAw+wl156iQ0bNoxxHMe2b9/eqPwzNfWcbfk+lMpuSyAu/Q1fddVVbMmSJez5559nN910U5MB9/jx49nw4cNbanJVovsGum+g+wa6b6D7BmXeN0gef/xxlpCQwBwOB2OMsZ49e7Lbb7+90XFjx45lnTt3Zt26dWN33XUXW7RoETv//PMZAPbll18Gjjt58iTr1KkTmzdvHnvllVfYk08+yfLz85ler2dbtmwJes4zP6Pbt29nVquVderUiT366KPs8ccfZz169GBGo5H9/PPPgeOOHj3KUlNTWVpaGnv44YfZ008/zfr27cuGDBnSZCB+9OjRRp19baGoQPyrr75iWq2WabVaVlhYyO677z62atWqRl907bmg3nLLLYHHfD4f69q1K+M4jj3++OOBx6uqqpjZbA66gZL+WAYOHBhUj2nTpjGO49ikSZOCyi8sLGQ5OTlBj0kfvIYmTJjA8vLygh4bMGBAk1+iZ15QPR4Py8zMZAMHDmROpzNw3Oeff84AsAcffDDw2IwZMxgA9sgjjwQ9p/TH35Ly8nJmMBjYRRddFNRD/NJLLzEAbOnSpYHH2tJbfeaxTf3k5+cHjluyZAkD0OgGq3///kG9uY8++iizWq1s7969Qcfdf//9TKvVssOHDzPGTn9u0tLSWGVlZeA4qRfrv//9b4v1drlcQe0gPafRaAxqX+n96tevH3O73YHHn3/++aDXI72PBQUFQcdJF8rWLqhz585lABp96TS0efNmBoDNmzePMcZYUVERA9DoC/D6669v9LczdepUZjKZ2KFDhwKP7dy5k2m12lYvqFKbLly4sMXjJM899xwDEPRl7/F4WGFhIUtISAj0jkvvYUZGBquurg4cO3/+fAaADRkyhHm93sDj06ZNYwaDIWi0SRqJadiTXVNTwzp16sSGDh0aeExq3++//z7wWF1dHevRowfLzc0NfBba+n7zPM969+7NJkyYwHieDxzncDhYjx492IUXXhh4TPobOfOG5PLLL2dpaWlBj1mt1iaDvqSkJHbHHXc0erw1f/3rXxkAVldX16hsAI1Gf5tTUFDAMjMzg0YWfvvtN6bRaNj06dMDj4XjtTYXiJ/ZcVBeXs6MRiO75557GpXf2nOG8n3Y1kD8sssuYwMGDGh0XFNuueUWZjab23SsmtB9A9030H0D3TdI6L5BWfcNkkGDBrEbbrgh8O8HHniApaenB7U7Y8I1EgB76623Ao+53W6WnZ3NrrzyysBjPp8vqN0YE76Ls7KyGr3+pj6jBoOB7d+/P/DY8ePHWWJiIjv33HMDj915552M47igv5WKigqWmpraZCDOGGMGg4HddtttTbZBcxSVNf3CCy/E+vXrcemll+K3337Dk08+iQkTJqBLly747LPPOvTcN998c+D/tVotRowYAcYYbrrppsDjycnJyM/Px4EDBxqdP3369KC1KqNHjwZjDDfeeGPQcaNHj8aRI0fg8/kCj5nN5sD/19TU4NSpUxg7diwOHDiAmpqakF/Lxo0bUV5ejttvvz1oLcbkyZPRt29ffPHFF43O+eMf/xj073POOafJ19nQN998A4/Hg7lz5wZlQJw9ezZsNluT5YTi448/xtdffx3088YbbwR+f8UVV0Cn0+H9998PPLZ9+3bs3LkT1157beCxDz/8EOeccw5SUlJw6tSpwM/48ePh9/uxbt26oHKvvfZapKSkBP59zjnnAECr7WE0GgPt4Pf7UVFRgYSEBOTn52Pz5s2Njp81a1ZQopwzy5Hexz/+8Y9Bx82cORNJSUkt1gUA6urqAACJiYnNHiP9rra2FgDw5ZdfAgD+9Kc/BR03d+7coH/7/X6sWrUKU6dORffu3QOP9+vXDxMmTGi1blJ5LdWtoS+//BLZ2dlBST70ej3+9Kc/ob6+HmvXrg06/uqrrw5qo9GjRwMAfv/730On0wU97vF4cOzYsaDzO3fujMsvvzzwb5vNhunTp2PLli2BrJdffvklRo0ahbPPPjtwXEJCAm655RYcPHgQO3fuDHrO1t7voqIi7Nu3D9dffz0qKioCn1O73Y4LLrgA69ata7TlR1N/txUVFYH2bUlycjI2bNiA48ePt3psQxUVFdDpdI0SIoXynp44cQJFRUWYOXMmUlNTA48PHjwYF154YeBz2FBHXmtz+vfvH3gfACAjI6PZ7/jWROL7MDk5GUePHsWvv/7a6rEpKSlwOp1wOBwhlxPP6L6hbei+ge4bALpvoPuGloX7vgEAtm7dim3btgW9T9OmTcOpU6ewatWqRscnJCTg97//feDfBoMBo0aNCvpb02q1gXbjeR6VlZXw+XwYMWJEk39XEr/fj6+++gpTp05FXl5e4PFOnTrh+uuvxw8//BBop5UrV6KwsBAFBQWB41JTU3HDDTc0+/zS90koFBWIA8DIkSOxfPlyVFVV4ZdffsH8+fNRV1eHq666qtEHOBQNvxQABLbdOTPpR1JSEqqqqtp0PgB069at0eM8zwddKH/88UeMHz8eVqsVycnJyMjIwAMPPAAA7bqgHjp0CACQn5/f6Hd9+/YN/F5iMpmQkZER9FhKSkqTr7Mt5RgMBuTl5TUqJ1Tnnnsuxo8fH/RTWFgY+H16ejouuOACfPDBB4HH3n//feh0OlxxxRWBx/bt24eVK1ciIyMj6Gf8+PEAGifsOfO9lC6urbUHz/NYuHAhevfuDaPRiPT0dGRkZGDr1q1Nvo+tlSO1X+/evYOO0+v1QV8QzZEuVtKFtSlnXnQPHToEjUaDnj17Bh135nt88uRJOJ3ORnVr6tim2Gy2VuvW0KFDh9C7d+9GW17069cv8PuGQvl7BBq/t7169WqUTKNPnz4AENiL+tChQ02+1rbW6cz3e9++fQCAGTNmNPqsvv7663C73Y0+R+39rALCfp7bt29Ht27dMGrUKCxYsKBdAagklPe0pe+ofv36BW4kGurIa23Omc8pPW97njMS34d/+ctfkJCQgFGjRqF3796444478OOPPzZ5rNCxD8qa3gS6b2gd3TfQfQNA9w0N0X1DY+G+bwCEJG1WqxV5eXkoLi5GcXExTCYTcnNz8e677zY6vmvXro3auanvnjfffBODBw+GyWRCWloaMjIy8MUXX7T4/Xjy5Ek4HI5m3yOe53HkyBEAwnvV1G4OLe3wwBgL+RqtqKzpDRkMBowcORIjR45Enz59MGvWLHz44Yd46KGHmn2Rfr+/2edrKqNuc1l2pRuethzb2nPs378fF1xwAfr27Ytnn30W3bp1g8FgwJdffomFCxdGZdP7WM4mfN1112HWrFkoKipCQUEBPvjgA1xwwQVBN0I8z+PCCy/Efffd1+RzSF+UklDe94b++c9/4m9/+xtuvPFGPProo0hNTYVGo8HcuXObfB/bW05bSV/sW7duDeqxa2jr1q0AhJHBaOrbty8AYX/fSGjv32MktVa29Bl56qmnmn2/zuxN7sjrueaaa3DOOefgk08+wVdffYWnnnoKTzzxBJYvX45JkyY1e15aWhp8Ph/q6uqCRiYavqcNR5nDJRLvXVuesz3Xk9a09JwN69SvXz/s2bMHn3/+OVauXImPP/4YixYtwoMPPoiHH3446NyqqipYLJagkVISjO4bwofuG+i+ge4b6L6ho/cNjDH85z//gd1ub/LzVF5ejvr6+qDX0Jb6v/POO5g5cyamTp2Ke++9F5mZmdBqtXjsscewf//+Vl9npFRXV4e8q4NiA/GGRowYAUCY7gic7t2prq4OOq6jPa2R8N///hdutxufffZZUC/Vd9991+jYtvai5OTkAAD27NnTaCubPXv2BH7fUQ3LadjT6vF4UFJSEug5jqSpU6fi1ltvDUwz27t3L+bPnx90TM+ePVFfXx/x+nz00UcYN24c/vWvfwU93p4/POB0++7bty/offR6vSgpKcGQIUNaPH/SpEnQarV4++23MX369CaPeeutt6DT6TBx4sRAmTzPY//+/UE9gnv27Ak6LyMjA2azOdAb29CZxzalT58+yM/Px6effornn3++yelKDeXk5GDr1q3geT6od3v37t2B34dTcXFxo57LvXv3AgByc3MDZTb1WttbJ2k0wWazhfWz2tL3RqdOnXD77bfj9ttvR3l5OYYNG4Z//OMfLV5QpZuhkpISDB48OPD4lClT8Nhjj+Gdd95pNRBv+N1xpt27dyM9Pb1de9RGYjS44fWk4TZKZ15PQvk+TElJaXR9kp7zzFErq9WKa6+9Ftdeey08Hg+uuOIK/OMf/8D8+fODphCXlJQEbqJJ6+i+IRjdN9B9A0D3DR1B9w2h3zesXbsWR48exSOPPNLo+lVVVYVbbrkFK1asCJqK3hYfffQR8vLysHz58qDX8tBDD7V4XkZGBiwWS7PvkUajCcyQyMnJQXFxcaPjmnoMAI4dOwaPxxPydVpRU9O/++67JntspPUp0heAzWZDenp6ozU8ixYtinwlQyT17DR8XTU1NUFrmiRWq7XJm7czjRgxApmZmVi8eDHcbnfg8f/973/YtWsXJk+e3PGKAxg/fjwMBgNeeOGFoPr/61//Qk1NTdjKaUlycjImTJiADz74AO+99x4MBgOmTp0adMw111yD9evXN7nWpLq6OmjdXUdotdpGn88PP/yw0TqithoxYgQyMjKwePFieDyewOPLli1r0+egW7dumDVrFr755psm9/tcvHgxvv32W9x0003o2rUrAAS+SF944YWgY5977rmgf2u1WkyYMAErVqzA4cOHA4/v2rWryXZuysMPP4yKigrcfPPNTb4HX331FT7//HMAwMUXX4zS0tKgdX0+nw8vvvgiEhISMHbs2DaV2VbHjx/HJ598Evh3bW0t3nrrLRQUFCA7OztQp19++QXr168PHGe32/Hqq68iNzc35NGC4cOHo2fPnnj66adRX1/f6PcnT55s12tp6nvD7/c3mp6VmZmJzp07B31nNEWa5rlx48ZGj0+cOBGvv/46VqxY0eg8j8eDP//5zwCEC3lBQQHefPPNoLpt374dX331FS6++OI2vrpgbf2ODIV0o9PwemK32/Hmm28GHRfK92HPnj3x888/B/1df/7554Epb5KKioqgfxsMBvTv3x+MsUZ75W7evBljxoxp56uMX3TfQPcNZ6L7hubRfUP70X1D85q7b5Cmpd9777246qqrgn5mz56N3r17Nzk9vTVNfUdu2LAhqN2bO++iiy7Cp59+GlhOAABlZWX497//jbPPPjuwRGLChAlYv349ioqKAsdVVlY2W99NmzYBQMjXaUWNiN95551wOBy4/PLL0bdvX3g8Hvz00094//33kZubi1mzZgWOvfnmm/H444/j5ptvxogRI7Bu3bpAz5SSXHTRRTAYDJgyZQpuvfVW1NfX47XXXkNmZmagp14yfPhwvPLKK/j73/+OXr16ITMzs1HPNSCsBXriiScwa9YsjB07FtOmTUNZWRmef/555Obm4u677w5L3TMyMjB//nw8/PDDmDhxIi699FLs2bMHixYtwsiRI0PuwTrTRx991GSP54UXXoisrKzAv6+99lr8/ve/x6JFizBhwoSgUSsAuPfee/HZZ5/hkksuwcyZMzF8+HDY7XZs27YNH330EQ4ePNiunuczXXLJJXjkkUcwa9YsjBkzBtu2bcO7777bpnVZTdHr9fj73/+OW2+9Feeffz6uvfZalJSU4I033mjzcy5cuBC7d+/G7bffjpUrVwZ6sFetWoVPP/0UY8eOxTPPPBM4vqCgANOmTcOiRYtQU1ODMWPGYPXq1U328D388MNYuXIlzjnnHNx+++2BC9yAAQMCU9dacu2112Lbtm34xz/+gS1btmDatGnIyclBRUUFVq5cidWrV+Pf//43AOCWW27BkiVLMHPmTGzatAm5ubn46KOP8OOPP+K5555rc/KWturTpw9uuukm/Prrr8jKysLSpUtRVlYWdKN7//334z//+Q8mTZqEP/3pT0hNTcWbb76JkpISfPzxx43WpbVGo9Hg9ddfx6RJkzBgwADMmjULXbp0wbFjx/Ddd9/BZrPhv//9b8ivZfjw4fjmm2/w7LPPonPnzujRowfy8/PRtWtXXHXVVRgyZAgSEhLwzTff4Ndffw36PDQlLy8PAwcOxDfffNMoqdRbb72Fiy66CFdccQWmTJmCCy64AFarFfv27cN7772HEydO4OmnnwYgTKWbNGkSCgsLcdNNN8HpdOLFF19EUlISFixYEPLrbO61Sgl32uuiiy5C9+7dcdNNN+Hee++FVqvF0qVLkZGREXQzGcr34c0334yPPvoIEydOxDXXXIP9+/fjnXfeabTG8qKLLkJ2djbOOussZGVlYdeuXXjppZcwefLkoM/8pk2bUFlZicsuu6xDrzUe0X0D3TcAdN9A9w103xCKaNw3uN1ufPzxx7jwwguDZnc1dOmll+L5559HeXk5MjMz21z/Sy65BMuXL8fll1+OyZMno6SkBIsXL0b//v2b7LBo6O9//zu+/vprnH322bj99tuh0+mwZMkSuN1uPPnkk4Hj7rvvPrzzzju48MILceedd8JqteL1119H9+7dUVlZ2WhWwddff43u3btj6NChbX4dAFrZSyDK/ve//7Ebb7yR9e3blyUkJDCDwcB69erF7rzzTlZWVhZ0rMPhYDfddBNLSkpiiYmJ7JprrmHl5eXNbkNy5vYYM2bMYFartVEdpM3kJdIWAx9++GHQcdLWNr/++mvQ402V99lnn7HBgwczk8nEcnNz2RNPPNHkhvClpaVs8uTJLDExMWgbiqb2A2WMsffff58NHTqUGY1Glpqaym644QZ29OjRNr3O5rbsacpLL73E+vbty/R6PcvKymK33XZboy2MwrUNSVOvs7a2lpnN5kbbVDRUV1fH5s+fz3r16sUMBgNLT09nY8aMYU8//XRg+xhpC4unnnqq0flnfm6a4nK52D333MM6derEzGYzO+uss9j69esbbUnU3Gemue1zFi1aFNjDcMSIEWzdunWNnrMlbrebLVy4kA0fPpxZrVZmsVjYsGHD2HPPPdfkHqdOp5P96U9/YmlpacxqtbIpU6awI0eONNkGa9euZcOHD2cGg4Hl5eWxxYsXh/TZYUzYA/Oyyy5jmZmZTKfTsYyMDDZlyhT26aefBh1XVlbGZs2axdLT05nBYGCDBg1q1FbNvYeh/J3m5OSwyZMns1WrVrHBgwczo9HI+vbt2+hcxhjbv38/u+qqq1hycjIzmUxs1KhR7PPPP29T2c2931u2bGFXXHEFS0tLY0ajkeXk5LBrrrmGrV69OnBMc39PTW3TtXv3bnbuuecG/kZmzJjB3G43u/fee9mQIUNYYmIis1qtbMiQIW3aA5gxxp599tmgPT8bcjgc7Omnn2YjR44MfE/37t2b3Xnnnay4uDjo2G+++YadddZZzGw2M5vNxqZMmcJ27twZdExHX2tzx0rv85ma+tvatGkTGz16NDMYDKx79+7s2WefbfI5GWvb9yFjjD3zzDOsS5cuzGg0srPOOott3LixUdlLlixh5557buCz0LNnT3bvvfeympqaoOf6y1/+wrp37x60fQ0R0H0D3TfQfQPdN9B9g/LuGz7++GMGgP3rX/9q9pw1a9YwAOz5559njDX+LpXMmDEjaItHnufZP//5T5aTk8OMRiMbOnQo+/zzzxsdx1jTf6ebN29mEyZMYAkJCcxisbBx48YF9lJvaMuWLeycc85hRqORde3alT322GPshRdeYABYaWlp4Di/3886derE/vrXv7bWTI1wYiUJIUQVcnNzMXDgwMD0NtJYTU0N8vLy8OSTTwZt1USiz+12Izc3F/fffz/uuusuuatDCCGqQ/cNrVPLfcPcuXOxZMkS1NfXB6bIr1ixAtdffz3279+PTp06hfR8ilojTgghRH5JSUm477778NRTT0UlQzNp3htvvAG9Xt9ob1hCCCFEKeLxvsHpdAb9u6KiAm+//TbOPvvsoOzuTzzxBObMmRNyEA4ANCJOCFEV6tkmhBBCSFvRfYM6FRQU4LzzzkO/fv1QVlaGf/3rXzh+/DhWr16Nc889NyxlKCpZGyGEEEIIIYQQIqeLL74YH330EV599VVwHIdhw4bhX//6V9iCcIBGxAkhhBBCCCGEkKiiNeKEEEIIIYQQQkgUUSBOCCGEEEIIIYREUdytEed5HsePH0diYmKjzdYJIYQQOTDGUFdXh86dO0OjoT7wcKDrPSGEECUJ9Vofd4H48ePH0a1bN7mrQQghhDRy5MgRdO3aVe5qxAW63hNCCFGitl7r4y4QT0xMBCA0gM1mk7k2hBBCCFBbW4tu3boFrlGk4+h6TwghRElCvdbHXSAuTU+z2Wx0YSaEEKIoNIU6fOh6TwghRInaeq2nhWqEEEIIIYQQQkgUUSBOCCGEEEIIIYREEQXihBBCCCGEEEJIFFEgTgghhBBCCCGERBEF4oQQQgghhBBCSBRRIE4IIYQQQgghhEQRBeKEEEIIIYQQQkgUUSBOCCGEEEIIIYREEQXihBBCCCGEEEJIFFEgTgghhBBCCCGERBEF4oQQQgghhBBCSBRRIE4IIYQQQgghhEQRBeKEEEIIabd169ZhypQp6Ny5MziOw4oVK1o8fs2aNeA4rtFPaWlpdCpMCCGEKAAF4oQQQghpN7vdjiFDhuDll18O6bw9e/bgxIkTgZ/MzMwI1ZAQQghRHp3cFSCEEEJI7Jo0aRImTZoU8nmZmZlITk4Of4VCxHgeTkddSOeYLYngNJEZy1BafSKtPa8XUNZ7EMvtDyjr9Srx8xBp1P7qRYF4B2z/8b+o3/oFdF2HYtjFN0Oj1Ua1/G1rl8O+8yvoug3D8ItvVt0fwL4t61C1bjG43LMxbPIt0Oqi+3He/es3qN74ETTZAzB8ym1RL19uxb/9iFPr3wWXlocRl8+N+usv2bEB5atfAjoVYOild8BgNEW1fLkd2rUJx79fBs6ajoIr/gyT2RrV8g/u2ojStUvBzMkYMe0h6A3GqJZPYl9BQQHcbjcGDhyIBQsW4KyzzmrxeLfbDbfbHfh3bW1tWOrhdNTB8nT3kM7Zpe+PvvN/DPt1l/E89jx2Fvp6dyqiPpHW3tcLKOs9iNX2B5T1epX4eYg0an91U1fkEEYbP1uMoZvuh5ZjQNl/sP7EDhTe8kLUyv/lkxcx6re/Cv8o+w/Wn9yPwllPRK18uf327XsYuPaPQvtXfYFfSr7HqLn/iVr5m758A4M33AM95wfKgJ9Ld+B3ty2OWvly27dlHXJXTEUvzg+UAkUHvsaQe/8XtS/g7T98hvyvZ6IH5wcqP8PGwz9ixD3Lo1K2EhzavRkp71+CHDgAANuf+xa97/4fjCZLVMrfv/UndP74MuRyHgDAtmd+woD7Vke9M5LEpk6dOmHx4sUYMWIE3G43Xn/9dZx33nnYsGEDhg0b1ux5jz32GB5++OEo1rR5/bw74XDUwZKQFNbndTrq2nUTHKn6RFp7Xy+grPcgVtsfUNbrVeLnIdKo/dWNAvF2cNTXoOfmv0PLMZxECjJQhcLjb2LHjxMw4KzJES+/7Oh+DCl6GOCAU0hGOqox+uASHNl3Pbr1HhLx8uXmdjmQ9v1D0HIM5UhFJioxqvpLbF65DMMmzox4+TUVZcj75W/Qc/7A+/+7sv9g14bL0W/0hIiXLze/zwf9f2+HnvOjCjZYmR0Fzp/xy6cvY9Tld0a8/PraKqR/czf0nB9lSEMWKjCibjV+++5DDBl3dcTLVwLnx3cgBw7UwgID82Kguwg/f/Qkfvf7BREv2+txw/DJTTBzHlTChkRmxyD3FmxatQzDL74p4uWT2Jefn4/8/PzAv8eMGYP9+/dj4cKFePvtt5s9b/78+Zg3b17g37W1tejWrVuH62O2JMLx58NtOtZpr0PaKwM6XGZbVNy2A2ZromLqE2lteb2Ast6DeGp/QFmvV4mfh0ij9lcfmj/QDls/fR4pqMNRLhsp/7cXG1IvBQBwax8D4/mIl3/o4wdh5LzYaRiEtAdL8Jt5NDQcw/FVz0W8bCX47X+voysrxUmkwHrPFqzvPAMAkPLLs1Fp/10fPowU1KFEk4OU/9uLX5OFtZGOH9QxIr7jh0+Ryx9BDazg5vyKzT3vAADk/fY0PG5XxMvf/tlzyMYpHOeykHDPZvycdR0AQLf++YiXrQTFv/2Avt6d8DAt3Lesx9aCBwEA/YuXoKbqVMTLL/rydXRjx1GBJGjv3IiNOULwnb5xYVT+/kh8GjVqFIqLi1s8xmg0wmazBf2EA6fRwJKQ1KafttyYhovZmqio+kRaW16v0t6DeGp/QFmvV4mfh0ij9lcfCsTbIeOAMAX2WP/Z0OkNyL1iATxMh/6ebdi7eU1Ey646eQIFlf8DAGjGPwROo4H2bGEUctDJL+By2iNavhKY9nwKACjOvQ7WxGT0v/pB2JkJPfhD2Lr244iW7XLUo1/pCgBAzVkPQKc3IPk8IRAdVLsOVSdPRLR8JfBsehcAsDt9IpLTszHs2v/DSaQgHdXY+k3zo1nh4PN6kFsslH904O2wJiYjd/KfAQD93NtRfqwkouUrQeVaocNnq+08ZHTOxfApt+OgphtscGDXylcjWjbjeWRsfQUAsDdvBpLSsjDwyvlwMgNy+CM4sOOXiJZP4ldRURE6deokdzUIIYSQqKFAPESlh/ehp78Efsahz3k3AACyuvbE1qRxAIDq9W9GtPw93yyFgfOjWNsTfUddCAAYUDgZ5UiFhXNj74aVES1fbjUVZejn3AIA6HrWNABAUko6tmUJsxL8m96KaPnbvnoTSbDjBDIwaOxVAIDeBedgv7YHDJwP+374KKLly81pr8PA2nUAgJQxwkwEg9GE4u7ClHBL0bKIlr993XJk4yQqYcPgi2cDALK798Yu/QBoOIYD30X2709ujOeRV/k9AMA4Umh/rU6H0t7XAwCy9r0f0VHpfUXfI5c/AiczYMClcwEAiUmp2G0dAQAo/zWyHWFEmerr61FUVISioiIAQElJCYqKinD4sDDde/78+Zg+fXrg+Oeeew6ffvopiouLsX37dsydOxfffvst7rjjDjmqTwghhMiCAvEQHfr5EwDAXkM/pGSc7r03jvgDAKBvxddwuxwRKz+9WLjRrehzTeAxTqPBwZRCAIBj56qIla0E+378BHrOjxJNbtB6+IyzZwEABtStR11NZcTKN+4W2v9gzpVBWcLLs84FAHAH10WsbCXYv+U7mDgvypGK3gXnBB7Pu+iPAID+3siOSvt++xAAsDdzYlCW8Jo8ITeD9cjaiJWtBAd3/Yp0VMPJDOgjdsQBQL8Js+FievTgD2L/tvURK79qvdDRtSPpXNiS0wKPe3tfDADIPPZNxMomyrVx40YMHToUQ4cOBQDMmzcPQ4cOxYMPCssmTpw4EQjKAcDj8eCee+7BoEGDMHbsWPz222/45ptvcMEFF8hSf0IIIUQOFIiHyHBwDQCguuv5QY/3HyOMSifBjt0/fR6Rso8d2IVe/v3wMQ3yL5gZ9Dtd/kUAgM6nfohI2UrhPyQEGWUZhUGP5w38HQ5pusHIebH7u39HpGxhNL4IAND17OuDfpfYT7iBzKnZGNfrZOt3rwEAHLYNC8qQntW1J3bp+wMADqx9NyJluxz16FcjfL6TR14b9LvMQeMBAHmunfB5PREpXwnKtgjLUvaZhwRlSE9KzcAu6ygAwKkIjUoznkfPk0KgrS8Ibv+eYy4X/us/EJV16kRZzjvvPDDGGv0sW7YMALBs2TKsWbMmcPx9992H4uJiOJ1OVFRU4LvvvsO4cePkqTwhhBAiEwrEQ8B4Ht0cOwAAKX3HBv1Oq9OhJP08AIBr+38jUv6R9cJo4B7jICSnZwf9rucoYUSwO38M1adKI1K+EmRWFQEAjHnBgTin0eB4FyFjubb4q4iUvWfdB9Bzfhw4YzQeAHoNvwBupkcmKnGkeGtEylcCW9kGAACfc3aj39X0ED6DtpL/RaTs3T/9F1bOhVKkI394cEdYbr8RqIUVVs6Fku0/R6R8JTAdEzqiHF0bt78v/xIAQNbxyIxKH9qzOTAa33fMJUG/S8vqiqOc8J106Lf4npVACCGEEBIOFIiHoOzYAaSjGj6mQe6gMY1+bx4o3Jz2rFwH3u8Pe/mJh4QAsy73oka/S0rNwFFOmCp/ZMdPYS9bCWqqTiHHfwgA0G1I49GTlMFC9vJe9RsjMiqqPbAaAFDWZXyj35ksCdhvELbjKdsVn+3vcbvQy7MbANBpSOM26D5GWCfex7MzIssD3LuEAP9Q+rmN9ivXaLUoMQ8EAFTsXBP2spWiq1No/+Q+ZzX6XZ9zroaXadGDP4RjB3aFvezSImHZS7FpYJP7lZcmDgIA2A/Eb0cIIYQQQki4UCAeguPbhSRJB3U9YLIkNPp9/u8mwc5MSEc1DmwP7zpNR30Nert3AgC6jpra5DGlCcLU4PqS+MxcfHjrOmg4hmNcFtKzuzf6fa+Cc1EDK2ywo7govGu1Gc+jR90mAEBS/8ZBKADUJvcDAPiPFYW1bKU4srcIBs6HWljRNa/xnpGdc/NxhOsMHcejeMOXYS2b8TxyK4Rp6ab+k5o8xpEtJAzTlRaFtWylOHX8ENJRDT/jkDPgd41+n5SagX0G4TN4dFN42x8AjEeE9q/v0ng0HgD8XYT2t5ZvCXvZhBBCCCHxhgLxEHgO/QoAqEge1OTvjSYL9lkKAACntoZ3evT+Tath4PwoRTq65PVv8hhftjBd2lQen1Oj7YeLAACl1n5N/l6nN6A4YSQAoGpreKdHH9y9CamohZMZ0HPo2CaP0XQW2j+xemdYy1aKyv1CR8QRQ16jEWnJ8TQhQPTsXR3Wsg/t2YwsVMDF9Mj/3cVNHmPpVgAASLfvC2vZSnF0l9C5d0Tbrdl9O2s6CSPl+kNrwlq2z+tBL7sQYKcPurDJY1LzhbK7uXbHdZ4EQgghhJBwoEA8BJbqPQAArtOQZo9xdRNGiyzHfgxr2fV7vgMAHEka3mwQZOs5GgDQ2bE7rGUrhfaUMN3Wk9a32WP8PYWkaWknwjsiXvbb1wCan5YLAGm9hE6Abp79cRmI+E8IHTx1Sc23vzFfCNK6VIR3RojU/vtMg5qcjQIA2X2GAwC6+o9GdOcCuTgPCR0hJxObb/+UQcKylbz6zfD7fGEr+8C2n5DIOVELK/KaWJYDAN36DIWfcUhBHSrKj4WtbEIIIYSQeESBeAgyXQcBALbuTY+IA0DWEOFGuJdzGzxuV9jKTi0XkmShx7nNHtMlX5gamoWKiG7hJZeU+v0AAFOX5ts/d9QUAEAv776wJq0LTMvtXNjsMd3zh8LDdLDBgeMH94StbKVIqBY6eDSdBzd7TM9RE+FlWnRlJ8K6Tll/ROjYsndqvv0zO/dADazQcTyO7i0KW9lKYaoQZlr4s5pv/14F56KemZGM+rAuj6nYJszw2W8pCNq2L6h+lgSc0AgJ20r3bQ5b2YQQQggh8YgC8Taqq6lENoRteTr1Kmj2uNx+I1GBJFg4N4o3fxeWsutrq9DTK0y37TZsQrPHJaWk4xSSAQAn9m8LS9lK4fN60M0n7EOb2Wtos8dldumBEk0uNBxD8YbwZK/3+3zIcxQBAFIHNL0+HAD0BiOO6LoBAE4eKApL2UrBeB5d3EJHSGresGaPS0xKbbBO+YuwlM37/ehhLwIAJPdvfosjTqPBUUMeAKDyQPytU051CokKrV0ar8+X6PQG7LMKfx+nflsZtrITjgsJCN3dml4fLjlp7gEAqD+6PWxlE0IIIYTEIwrE2+jEfmFa7kmkICk1o9njOI0GBxOFKbI1O8OzjdD+jV9Dx/E4xmUhu3vvFo8tM+QIZR+Orxvh4yU7YeS8cDAjOuU0PzUXOL3HOL8/PNsolez4GUmwo56Z0XNIy4FItVlof1dpfI2IV1eUIQV1AIAuvZpfmgEANZ2FNtIfXBOWsg/t3ogU1MHBjOhZ0PyMEACot/UBAPhLd4SlbKXweT3o5D8OAMjo0fyMEADwdBfaKPH4D2Ep2+W0o7dL+D7pVNB8RyAAuFKEnQO4k/G5PIYQQgghJFwoEG+j6kPCCHOZMafVY/25wo1wcml4trFy7l0DADiWPKLVY+ttPQEAvvL4uhGuOCgEAsd03aDRals81px/HgCgc9XGsJR9apvQobLfMhg6vaHFY73JQvtrKovDUrZSlB0UAttSpDebKEySMlBYJ97DXhSWbfzKtgqJ34rNA6E3GFs+OF3oqDLWlnS4XCU5cWgPDJwfTmZAZpe8Fo/NHipkle/t2gGXo77DZRdv/hYmzotTSEb3/OZnowCAvpOQSDKpLr4+/4QQQggh4UaBeBvxZcJ6V7utV6vHdh0m3gh7dqO+tqrDZaefFPbl1bSwPvz0wcKIoKk6vm6E3eXC1PxaS+Nty86UN/wi+JgGXdkJlB7peDuYxcR7zi5NJ6lqSJcptL+1/mCHy1WSumNCx84pY9dWj+055Bw4mBEpqMOh3R3vDDEeldaHN96y60zmbKH9U1xHO1yukkgdUcd1XVvtiOreezDKkQoj50Xxlo4vj6nb9S0A4KBtRLOJIiUp3YW93LO88dX+hBBCCCHhRoF4GxnrhPWZSGs9EO/coy+Oc5nQcTwObP62Q+XWVJ5Enu8AACBnxMRWj7d0Fkak0lyHOlSu0nBVwginJym31WMTk1JxQC+8T0c2repQuV6PG70cwrKE5rZtasjWVVgfneU50qFylcZ3UugIsSfktnqs3mBEsVkIyMq2dmx5RsP14SkDLmj1+LTuwrKFbP+JsIzGK4WrVOgIqbbktnosp9HgsE1Yx1+/q+OBeEqpkPSN5bbeEZiVK3z+U1AblwkjCSGEEELChQLxNrK5hO14TFmtB+IAcEy8Ebbv7dg65QMbV0HDMRzhOiOjc26rx6fnSIFIWVwFItZ6oWNBl96zTcdXZIqjpyUd28Zs/9YfYOVcqIEVeQNbH5HNzhMC0HRUx1UgYqwROkJYasvToiVSdnPj0Y4tzzi4ayOSUS+sDx/c8vp8AMjq1htepoWJ86L82IEOla0kmgphZocnuW3tz+cIbWUr29ChcutqKtHLK+Q76Dq89Y7ABFsKKmEDAJQdDF/WfEIIIYSQeEOBeBswnkeWT9gKK7lzy8nSAufkCjfCKeW/dKhsd7EQyB9PHdmm4zO79ISXaWHgfDh54mCHylaSVI+QqCqxU582HZ+QL2TX7lazqUN7elftENYnH7AObXVKMADYktMCmetLS+InYViSU8hYb8rOb9PxKQPOB9DxdeLlW8X9282DWl8fDiFreKkmCwBw6nD8BIIWhzDVW5fWtkC8y1BxG0XPLjjtde0u98CmrwKJIjvltO29P6nrDACoPb633eUSQgghhMQ7CsTboLqiDAmcEwCQ1UrWcknXAmEac0/vXjjqa9pdduYpIZDX9RzbpuO1Oh3KNekAgIqj+9pdrpK4XQ5k8ScBAOk5/dp0Ts/hF8DDtMjGyQ7t6S1t2+RpZdumhip0wl7K9WXxMSLLeB7ZvhMAgJSuLWesl/QcfDYczIhk1OPgrvavE5dG1O2dW1+fL6k0CevY7SfiJxBM8Qjtb81u24yQzrn9UIY0GDg/9ndgeYxzjzC1/VjKqDafU2cR2t99Mj4+/4QQQgghkUCBeBuUHxJG1sqRCpPZ2qZzOuX0QSkyoO/AjXDVyRPI4w8CAHKHt7xtUNB5hk4AAHvp/naVqzRlh/dCyzE4mBFpmV3adI4lIQn7DULQeGxL+/ZTdrsc6OUSRrWzhrS+PlxSbxZGBN2nDrarXKWpqSyHlXMBALK6tW1phrBOXNhmSxrVDhXv95/ev72F/cPP5EwQdjbgK+Mjc7rf50MmfwoAkNqlbe3PaTQ4nCRso1i3u/3rxDOlRJFt7AgEAJ9NaH9N9cF2l0sIIYQQEu8oEG+DulJhfeYpfec2n8NpNDiSJCZM2rOmXeWWiInGDmq6Iy2r9WzVEoc4IuWriI9ApPqY0P5l2k6tZm1uqCZLWNOtOdS+/ZT3b1kLM+dBBZKQkz+szed5EoX256oPt6tcpTkltn8FkmCyJLT5PGkUu73rxEt2/ook2GFnJuQNPqvtJyZ3AwAY6o+3q1ylOXniIPScHx6mRUan3LafKK4TTy5v3zrxyvJjgY7AHiMmtfk8bbowfd5qj4/PPyGEEEJIJFAg3gbeU8IUS7ul7cEwACBHCB7au07cK64PL2vj+nAJnySMSOlq4+NG2HlKSNRWY8wO6bzEfkKW7dzaje1aJ14jbduUOCykDgBNsrDFmtF+LOQylai2VOjQqdBlhXSeNIqd52jfOvGT24SR9P1tXB8uMaQK7W91ngi5TCWqFJeYlGsyoNXp2nxel6HCLJqenj3tWh5TslGYSVKiyQ2pI9CaLYzaS9PpCSGEEEJIYxSIt4G2VkiU5LN1C+m8zgVCwqS8dt4IZ1X+CgAw9G77tFAA0KXnAgCsjvgIBPlqYSswt7XtMxIAoOew8+BmeqSjGof3bQ253CRx2yZf93NCOs+c0UM43xUfgYin4iAAoN7UKaTz8gafBTszIQl2lOz8NeRypZF0R+fCkM5LyBLaP9VXFnKZSmQXcw1IS07aSloeY+D82L9pdcjl+orXAADK0tu+PhwAkrOF9s/gK+Jq5wZCCCGEkHCiQLwNTA4hY7o2ObQR8c65+Q0SJq0J6dxTpUeQyx8Bzzj0CGF9OAAkZAlTQ1O9pSGdp1Q6cYoxnxhaIG4yW7HPNAAAUPrbVyGd67TXoZdbyA0gjSy2VVJnYUQw3V/WoYztiiF2hHgSQvv86w1G7BfXiUuj223l9/mQ5/gNAJA6sPX9wxtK7SwkNEtnVfC4XSGdq0S+yoMAAKelbfkRJMLyGGGdeHuWx3SpEjpPTH3OD+m8jM654BkHA+dD5cn4WB5ACCGEEBJuFIi3QaKnHABgTu8e0nmcRoMjNmmdeGgJkw6J68NLdLlITg9tSnZKJ2FEKo1Vwe/zhXSuElnEKcb61NDaHwDqsoV14vrD34d0XvGmb2HgfChDGrrk9Q/pXCmhWSLnRG11RUjnKpE0xZ5LDm1GCHB6NDvUdeL7t/6IJNhRx8zIG9T2jOkAkJrRGW6mh4ZjOHX8YEjnKpE0I8dvC3FpDAD0EGZzpIa4Trz08D50ZSfgZxzyRlwU0rl6gxEVXDIAoOpEfOSpIIQQQggJNwrE2yBN3DrLlpkT8rl8IGFSaOvEffuF9eEn00eHXGZaVjf4GQc950dVeexPT0/2ClOMrZm5IZ+b0l8YTe1RH9o6ZftOoSPkcNLIkNaHA4DJkoBK2AAAp+JgC7lEcYq9UVzyEAppNDvP8VtI7V+5VWj/Yusw6PSGkMrUaLUo12QAAKqOx/7OASaX0BEY6owcAOg69PQ2iva66jafd3jT/wAAxfo+sCWnhVxupS4TAFBXfijkcwkhhBBC1IAC8VbU11bBBgcAIK1LXsjndxFvhHt5dqOuprJN5zCeR/dKYX2yOb/t2zZJdHoDKrgUAEBl6cGQz1cS3u9Hhrh1U0qn0Ns/r+BcOJgRKagNaT/rzPIfAQBc79CmRUuqtMJe7vWnYj9hXqpf6IhKFNdehyJv0JjT68R3tH1UNvG4MIPBkxNafgRJjUEIBB0nD7brfCWxSTNy0kKfEdIpJx/HuSzoOB77N37T5vM0JUJHYGVWaOvzJXaTkNjPUxn7n39CCCGEkEigQLwVFceFqZV1zIwEW0rI53fJG4CjXCfoOT/2/fxFm845vLcInXASbqZHn9GTQy4TAKp0wohg/cnYvhGuPHkMBs4PP+OQ3in0GQkGoynk/axPHT+EPP4geMah5+gpIZcJAPUGof3dlbG9RtbtciAVtQCA1OzQ21+nNwTa/+S2tgWC9rpq9HYL+7d3Gd6+z79D3MvdVxXbn38ASOWF5Q22zNCXBgDAUXGduH3v2jYd7/f50LNW6DSx9Q9tWrrEIyVWrIn9GTmEEEIIIZFAgXgrassOAgAqtBntfo5j6cI2Zr49q9p0/IlN/wUA7DEPhtma2K4y7UZpROpIu85XikqxI6SCSwl5irLk9H7WP7bp+JJfhPbfr++FlIzQMlVLXGah/f01sR2IV5aJidqYDslpoW1fJnF2FT7/liPr2nR88a9fwcD5cZzLDHl9vsSfIORV0NjL23W+Ujjqa2CDHQCQ1jn0GQkAwInrxNNO/tym4/cVrUUK6lALC/qMHN+uMmETEsvp7bH9+SeEEEIIiRQKxFvhqhACkVpD+4IQADD3nwQAyK38sU1ZtK2HhcRuju6hT0uXeKxCIMJqY3tEyn5KaP9qXXq7nyNtoBBM9HQUtSl5Hbdf2D/8VNZZ7S6TTxACeG19bG9hVlMmjCif0qSGvFZekj1cmFXQx1kEl6O+1eOdu4WZC0dTRre7TI1NaH+DI7a3MKs4cRAAUN/OGTkAkDNC+P7p5d2HyjbkjKgq+hwAUJwwMqT92xsypAqj91ZXbLc/IYQQQkikUCDeCl+1cOMqjXC2R5/RE+FkBmSiEgd3tbyfsr2uGvmubQCAziPaNy0aAGATpobq7bG9hZmnWhhRsxvaPyMhb1Ah6pgZNjiwf+sPLR7L+/3oWSe8R0kDJ7a7TG2S0P5GZ2wHIo4KIWN3bQc6QnLyh6EU6TBxXuzZ8L9Wj88+JeRH0LVzfT4AGJKF9rd6Trb7OZSgpkxIdlahDT1hmiSzSw/s1+ZBwzHsX/9pq8dnnBCmsPt7tW9aOgBY0oTEcjbfqXY/ByGEEEJIPKNAvBUaMZCVprq2h8mSgL2WAgBA6abPWzx234b/wcD5cJzLRLdeg9tdpi5FuBG2OGM7EGe1Qv095vYH4jq9AfsSRwIAKjZ90uKxxb/9gBTUop6Z0Xt4aPsnN2RKFdo/McYDQU+V0BHlMLa//TmNBofShNkFru0tf/6PFm9HLn8EPqZBz1EXt7tMa7owIpvki+3t45xSR4i+/e0PAOXZQtI77b6VLR536vgh9PILmebzCqe2uzxbhtD+aXxVm2YBEUIIIYSoDQXirTA4hUBKk9j+QBwAXLnC6F7S0Zb3E3fv/BIAcCR1TLun5QKARQoEfW3L1K5UUkcI34GOEADg8y8BAHQ6sbrF4yp+/QgAsLcD03IBIFFMrJXCx3YgyOqEqfUeS/tnhACAaaAwu6NnxZoWlwccXf8BAGCXaQiS2rkmHQCSs4QM42msKqRt05TGVy0E4i5Tx9o/ZajQ/vl1G1pcHlDy8woAwF5dH6RltWPfclFqtvD5N3Je1FbH9t8AIYQQQkgkUCDeCqtHmFppSG5f0i5J999dDgDo696O8mMlTR7j9bjRp1II1C1DpnaovMR0YWpuKh/bgbjRJXSEaG0da//eZ18JL9Milz+CQ3uKmjyG8Ty6lX4l/P+AqR0qLzU7FwCQgjq4nPYOPZec9HZxan1ix9q/35gpqIUF6ajGnha20Uo5JCQ0dPRs/2g4AKRmdgHPOOg4HpUnYzdhmKZeaH+ftWOBeJ+h56EU6bByLuz6/uNmjzPsE2YsVHQ+r0PlmcxW1MIKAKgui/3M9YQQQggh4UaBeCts4oiyJbVzh56nU04+dun7Q8MxHFjzVpPH7PzxM6SgDhVIQr/C9m3bJEkRRwStnAv2uuoOPZecEsSOEGNKx9o/KSUdOyzC9PTja5c2eUzxbz+gKyuFkxnQ79yrOlSeLSUDLqYHAFSciN1AxOwSso7rkjrW/gajCXuShOzddb/+u8ljjhRvQ75vN/yMQ8+zr+1QeTq9AZVcEoDYDgT14owcroMzcjRaLQ5mTwAAsG1NB+KnSo9ggGMjAKDL2Td0qDwAqNKkAgDqTh3t8HMRQgghhMQbCsRbwHgeqawKAJDUzj18G6rtLYyKZ+1f3uS6Sf8mIUAvTh/f7q26JNaEJDiYMLW6+mTsZk5P8gsdIQnp7Z8mK/EPug4AkHf88yanR1d9/yoAYIftHFgSkjpUFqfRoIpLBgDUVcRu+yeKybZMaV06/FzmEUJw1//UV3DU1zT6/dHvXgcAbLeMRHrn0PcsP1O1mODMXhG7W/iZ3MK0bn1Sx2YkAEB64fUAgIF1PzaZPb3422XQcTz26vqge5+CDpdXpxfa31UVuzMSCCGEEEIiJSqB+Msvv4zc3FyYTCaMHj0av/zyS7PHLlu2DBzHBf2YTKZoVLORmspyGDhhfWlKZscDkb7jZ8HBjOjBH8TO9cHZo0uPFGNwnZDRO3PcrR0ui9NoUKVJBgDUxWgg7vN6kMqEgC0cHSEDxl2DGliRhQr89s07Qb+rra7AwAphWrq58OYOlwUAtTphRNBZFbsJ85J5oSMqMQyBeP8xl+AYl4VEzontq94I+p3LUY/ex1YAAPyDr+9wWQBQL2bad8V0R4jQEWVO7Xgg3mvI2dir6wMD58Oe/y0K+p3f50PXfcLfRFXvjs0GkbiMQqZ9X01sb+FHCCGEEBIJEQ/E33//fcybNw8PPfQQNm/ejCFDhmDChAkoLy9v9hybzYYTJ04Efg4dOhTpajapqlzcwxoJMJosHX6+pNQMbEsX9vT1f78w6HcH//sEdByPHYbB6DFgdIfLAoA6nTAi5YjREanK8mPQcAw+pkFqRsemRgPCutWdXa4BACT++mLQrIQdHz8GC+fGQU039P9d+7cta8hhENrfUxObgbjLaYcNDgBAckbHA3GNVosjPacBALpsXwSvxx343W+fvYh0VKMU6Rh4/rQOlwUAHpMQCPL1zX/XKF1KoCOk44E4AFQPmA4A6F3yDuprqwKPF331JrqyUlQjAYMm/zEsZfmkBH/1sb2FHyGEEEJIJEQ8EH/22Wcxe/ZszJo1C/3798fixYthsViwdGnT63QBgOM4ZGdnB36ysjqWqKi96k8JAWy1uNYxHLpMuhcepsVg168o+lpYK3tw10YMLxPWbfJn3R22shwGIRDxVsfmiFTNSWFtaSWXDI1WG5bnzL/sXjiZAb39xfj1kxcAAMcP7sHgw28DACpG3NOhbPUNeU1CIM7XxWYgUi0mOfMwLWwpHds+SzJ46jxUIAldWBk2vf8PAMLa5N67hRHaQ/1vhcEYnhkwfotQZ409NgNxp70OCZwTAJAchhkhAFBw8Wwc5bKRjmpse+9BAEB9bRW6/PJPAMCubtM6vCwjIFH43tY7YrP9CSGEEEIiKaKBuMfjwaZNmzB+/PjTBWo0GD9+PNavX9/sefX19cjJyUG3bt1w2WWXYceOHZGsZrNc4h7K9frwBeJdew3Eps7CWtmeP8zD+mX3w/T+ddBzfhRZCjFo7BVhK8trFkcEYzQQdFQKHQi12pSwPWdqZhf81vt2AMDArf/E+qX3wvPWVbByLuzR9cXQCdPDVhZvyQQQu4FgrdgRVcUlh61zwpKQhP0D5wIAhhe/hJ9fn4eq1y9HKmpRoslFwaVzwlIOAHAJQiCud8Xm9llV4jpuJzMgITE5LM9pMJpQPno+AKDw+FtYv+QOHH7xEmTjFI5zWSi47qGwlAMAOnFdu8l9MmzPGU0uRz1+++5D7Cv6Xu6qEEIIISQORTQQP3XqFPx+f6MR7aysLJSWNj1dNz8/H0uXLsWnn36Kd955BzzPY8yYMTh6tOnMu263G7W1tUE/4eIX1za6jOEZDZQU/P6f2GkYhETOicKDryAbJ3GU64Su018Lazm8VQgEtTE6IuWuEToQHPrwBeIAMPK6v2GraSQsnBuFh19FLn8YFUhC0ox3wzbyDgBcotD+BtepsD1nNDmqwt8RAgAjr5iLjYkXQM/58buj/0Jv3z7UwgJc9XpYloBI9Dbhe8fkic0t/GrFbONVmpSwdYQAwLCJM/FzprBEo/DEO+jv3Q47M6F24kswWxPDVo4pWcj0bvVVh+05o6ns0B4MWXszMlZcJ3dVCCGEEBKHFJc1vbCwENOnT0dBQQHGjh2L5cuXIyMjA0uWLGny+MceewxJSUmBn27dwjOFEwA4YwIOarrBm5wXtucEALM1Ebl/+gLru96IXfoB2JB+JUyzVyE9O3x1B07vvW2M0UDQXyd0ILiNaWF9Xq1Oh37zvsD6nD9ih2Ewfkm5BN4bVyO7W6+wlqNPEgIRc4wGgp5qobPMYQjfjBBASCQ49K4P8HOfe7HDMBgbbeNRN/1b9Og/MqzlmJKFz3+CLzbb//SMkPC2PwCMunUxfhm0ADsMg7Ax8QKUXvUp+o6+KKxlWMUEc0l84wz5scBeLXz/1HE2mWtCCCGEkHiki+STp6enQ6vVoqwseGp0WVkZsrPbti+uXq/H0KFDUVxc3OTv58+fj3nz5gX+XVtbG7ZgfPS1fwHwF+SG5dmCWRKSUHjzwtYP7ACDOCJl8cTm1FzOLkxp9YtT7MNJbzCicNYTYX/ehswpQiCS6IvN9ucDHSHhb3+tToffXf9XAH8N+3NLElKFz38SXx2xMiLJK87IcYa5IwQQEueNuvJuAOHLSXEmm5hgLonVwef1dHhLxmhziTNy6nXJ8laEEEIIIXEpoiPiBoMBw4cPx+rVqwOP8TyP1atXo7CwsE3P4ff7sW3bNnTq1HTWYKPRCJvNFvRDBKYkYUq9lQ/fdP1o0jnFkXxr+APBaJC2/EqJ0UAQ4tp2vyU22z9JzPSeBDs8bpfMtQmd1BHiiUBHVDQkp2WDZxw0HEN1ReztHOCtFToCXfpkeStCCCGEkLgU8anp8+bNw2uvvYY333wTu3btwm233Qa73Y5Zs2YBAKZPn4758+cHjn/kkUfw1Vdf4cCBA9i8eTN+//vf49ChQ7j55vDs7awmCcnCGtmkGA3EjW5hJFmbKE/W/I5KFveet3Bu2Ouq5a1MO+jFJQ1cQqbMNWkfW0oGvExY8191Mvb2Etc4hc8/i9FAXKvToZoT1pzXnoq9nRt4u/D59xrDPyOBEEIIISSiU9MB4Nprr8XJkyfx4IMPorS0FAUFBVi5cmUggdvhw4ehaZCIqKqqCrNnz0ZpaSlSUlIwfPhw/PTTT+jfv3+kqxp3bOnCLAIr54LLaYfJbJW5RqGx+IR9jo1JsRmIWxOS4GJ6mDgvairKYA1T5utoMYkdITpbbLa/RqvFKS4JmahEXcUJZHXtKXeVQqJzi/t8W8ObIyGaajXJSOVrYa+MvRFxziF8/v3m2G1/QgghhChXxANxAJgzZw7mzGl6W6I1a9YE/XvhwoVYuDCya6fVItGWAi/TQs/5UVNRClOMBSI2fzUAwJLatnwCSsNpNKjlEmFCJexVZUBuvtxVColV7AgxxWhHCADUaZOR6a+EvTL2RmSNHqH9dQmxOSIOAHZdCuA5DHdN7AXiUkcIF8MdIYQQQghRLsVlTSfhw2k0qBGnhtZXxtZe4rzfjxQmZFu2pXeRuTbtV6dNAgA4q2NvC7lEcUmDJSU2O0IAwK4XphW7q2MvEDT7hM+/0Rbe7ROjySVO6/bVxd7n3+gWsu1rE2K3/QkhhBCiXBSIx7k6jRAIOqpPylyT0NRWnYSO4wEAyelNJ+qLBU6d0P6euthqf8bzSGJ1AICElNhcIw4AHkMyAIC3x17m+kS/EIibk2O3/X0mYTSZ1cfW5x843RFiiOGOEEIIIYQoFwXicc4hbr3jro2tEfEaMctyLSwwGE0y16b93IYUAICvPrYCwdqaykBHiC01lgNBYUSWOWKr/YM7QmJ3aQAvZtzXSjsgxJBEaWlMcuy2PyGEEEKUiwLxOOcWRwR9dbF1I+yoFjoO6sSp9bHKZxQC8VgLBOurhPZ3MGPMJflriJmFQFzrqpK5JqFx2Gth5LwAgKS02F0aoBEz7htcsfX5FzpChKUZ1hjuCCGEEEKIclEgHue8MRoIumqEqax2cY11rOLFQFDjrJS5JqGRcgrUcDaZa9IxGovQ/jp3tbwVCVFNhdD+TmaA2Rq7nVH6RGFquskXW1soOuy1MIkdIcnpsdsRQgghhBDlokA8zjFx651YCwSlqdzSGutYxVmE9te7Y2tE1lUrzKCwa2M7ENclCO1v9FbLW5EQ2avioyPEmCisr7aI691jRc0pYWmMi+lhtsRuRwghhBBClIsC8XhnFdZo6mNsaqhfTK7lFafWxypdotD+Rk+1vBUJkadWmJHg0CfLW5EOkjKOW32xFQhKSzPqY3xGiCVZ+Pwn8nUy1yQ00tKMai4JnIYuk4QQQggJP7rDiHOxGggyhzCC7DOlyFyTjpECQUuMBYJSR4gnxgNxc5LQ/gl8bE2NljpCYn1GiJRozsbqwPv9Mtem7Zxx0hFCCCGEEOWiQDzOxWogqHUJU+mlZFux6nQgGFvtL+UU8Md4R4hV3HrNxurAeF7m2rSdv15YGiBl3Y9VUsZ9LcdQVxM7y2PiZUYIIYQQQpSLAvE4Z04SboRjLRDUiyP4UrKtWCWNCCbFWCCoEbOM8zHeEZKUKrS/gfOjvq5a3sqEIF46QowmCxzMCACory6XuTZt5xf3PffEeEcIIYQQQpSLAvE4lyhufZTEamMqEDR6hY4DKdlWrJK2njJwPtjrY6czRC8G4hprbLe/2ZoIJzMAAOoqYycQlJIr8ubYbn8AqBW3ILRXn5S5Jm0ndYRI+9ATQgghhIQbBeJxruGIYF1t7GTulqbSG8Ssy7GqYSBYK25JFQukLOPaGO8IARoGgrETiEtZ9mO9IwQ4nXnfWRM7gbjWKQTisb40JlrWrVuHKVOmoHPnzuA4DitWrGj1nDVr1mDYsGEwGo3o1asXli1bFvF6EkIIIUpCgXicM1kSAlND6ypLZa5N20nJtcxJ6TLXpOOkQFDKxBwLpI4QY2KmzDXpuHopEIyhQNwkdoRIyRZjmVMntL+37pTMNWm7QEdIQmx3BEaL3W7HkCFD8PLLL7fp+JKSEkyePBnjxo1DUVER5s6di5tvvhmrVq2KcE0JIYQQ5dDJXQESeTWcDRacRH1lGZA3QO7qtIrxPGysDuCAhJR4CASTkOWvgCuGRgTjqSPEqUsC/IAnhgJBi68awOlki7HMrU8G3ICvPna2UDSLHSGGOGj/aJg0aRImTZrU5uMXL16MHj164JlnngEA9OvXDz/88AMWLlyICRMmRKqahBBCiKLQiLgKSFvwOGtiY0TQXl8DAydsdSRlXY5lDnELKk9dbATijOeRxIRAPEFc2hDL3GLma589dgLBRLEjxJIc++3vMyYDAJgzdpbGWAMdIbH//aNE69evx/jx44MemzBhAtavX9/ieW63G7W1tUE/hBBCSKyiQFwFnHoh86+0JY/S1YpJtdxMD7MlUebadJyUedlXHxsjsg07QpLiIBAPBIKO2Ng+i/f7kcTqAACJcdD+vJj5XUpAFwtsTFiaYU2J/fZXotLSUmRlBbdtVlYWamtr4XQ6mz3vscceQ1JSUuCnW7duka4qIYQQEjEUiKuAx5AMAODtMRIIimt5a7hEcJrY/4gGAsEYGZGVksq5mB5ma+x3hEhbsMVKIFhXUwkdJ+xwEA8zQjhxC0Kdu1reirSR1+NGEuwA4qMjJJ7Mnz8fNTU1gZ8jR47IXSVCCCGk3WiNuAr4TKlALcDssRGISGup7RqbzDUJD2kLKmlvbqU73RFig0nmuoQDZxHaX+eOjfavrSxFEoB6ZkaCySJ3dTpMK2Z+N3iq5a1IG9VUliMdAM+4uJgRokTZ2dkoKwtOXllWVgabzQaz2dzseUajEUajMdLVI4QQQqIi9ocbSauYOCKldcbGiLhbTKrl0MVHIC5tQaV3x0ZHiJRdXMo2HuukvehjJRC0i9n1a+OkI8pgE9rfLGbiVzppv/M6zgKtjvqqI6GwsBCrV68Oeuzrr79GYWGhTDUihBBCoo8CcRXQWIXM1/oYCUT8YnZlKclWrNOKW1AZY6T9peziTjHJXKzTi+1viZFAUJoRIiVZjHVS5ncLXydzTdrGWSt8/9RzCTLXJHbU19ejqKgIRUVFAITtyYqKinD48GEAwpTy6dOnB47/4x//iAMHDuC+++7D7t27sWjRInzwwQe4++675ag+IYQQIgsKxFVAZxWSJRm9sZFhlheTannFtdWxzhhjgaCUVC5eOkLMScI6a6s/Nj7/Unb9eOkIsSYL7W+LkUDcVScE4g5N7OdHiJaNGzdi6NChGDp0KABg3rx5GDp0KB588EEAwIkTJwJBOQD06NEDX3zxBb7++msMGTIEzzzzDF5//XXauowQQoiq0Lw7FTAkCFPTzf7YuBGWkmpJ2ZZjnRQISntzK57YEeIzpcpckfAIBIIsNj7/vJjUz2uIj0A8MVkYEU/gnPC4XTAYlZ15wFsvfP5dOgrE2+q8884DY6zZ3y9btqzJc7Zs2RLBWhFCCCHKRiPiKmBKFNZoWmNkREorZleWsi3HOmkv7iRWC8bzMtemdZxTCARZnHSEJIqZxy2cGy5Hvcy1aR1zVgMA/HEyIyQxOR084wAAtVXlMtemdX6HkNTPq4+PNfqEEEIIUSYKxFXAkiQE4gnMLnNN2kZKqiUlOYt1thRhRNDA+eGwK39UPLDNVJy0f6ItBV6mBQDUVJa1crT8NK5qAAAzxseIuFanQy1nBQDUx0AgLnWExMuMBEIIIYQoEwXiKpCQJK5R5tzwuF0y16Z1UnZlg7i2OtaZLYmBQLC+Rvl7iRu91QAAXZwE4pxGgxpOmGZcX3VS5tq0TusRZ66Yk2WtRzjVccLosqNG+Ts3cGJHCB8nMxIIIYQQokwUiKtAQtLpgKo2BgIRKamWKSlD5pqEB6fRoE4cEYyFQMTkEwJBfUJ8LA0AgHox8ZazRvkjsgYxqaLGEh9LAwDAIW6F565V/udf6xY6Ark46gghhBBCiPJQIK4CWp0OtbAAAOwxMCKbKCY1sybHRyAOAHZxKyRnrfL3ErfwwjpqY2L8BOIOcSswd63yP/9Gn/D511vjJxB36YX299YpPxDXx2FHCCGEEEKUhwJxlagPBILKvhH2etxI5JwAgMSULJlrEz5OrdD+nvoqmWvSOisTAnFzHAXiHr0wIi4l4lIyi7i7gSGOZiR4xPXWUkZ4JZO2edTFUUcIIYQQQpSHAnGVkPbEdSs8EKyrPt1RkJgcH2vEAcClE6bmeu3KHhHn/X4kMgcAwBpH7S9lwObFRFxKZhGTKppt8bFGHwD8RiGoZU5lf/6B09s8xlNHCCGEEEKUhwJxlZD2xJX2yFUqu7iGuo6ZodXFzzb33sCIbLW8FWlFfV01NJywH3DD3AKxzm8QAnGm8ECc8TwSxRkJljhqf2YWAnGtS9kdgcDppRmmOOoIIYQQQojyUCCuEh5xRFbpU3OddUL9pDXV8cInTs1VeiBYL85IcDE9TGarzLUJH2YS2l8jJuJSKqejDgbODyC+ZoRoLMLosk7KCK9ggY4QW/y0PyGEEEKUhwJxlfCJI4K8wgNxd50wYm/Xxlcgzot7QktbIymVU0xmVs/FTxAOnM6ArVV4ICgtzfAxDSxWm8y1CR+tJRkAYBAT0SmV2+WAmfMAiK+lGYQQQghRHgrEVeJ0IKjsEUGPXegocMVZIM6JI7Jaj7IDEWedEIjbNfHV/hoxEJe2BlMqh5hVv45LAKeJn69nKQO80Vcvc01aJnWE8IxDoo2StRFCCCEkcuLnTo+0zJQMQPlTc332agCAR1zTHi+krZD0Cg8EPfXVAACnJr7a/3QgqOwR8dMzEuKrI8SYILS/mVd2IG6vOgkAqOMs0Gi1MteGEEIIIfGMAnGV4MSpoXqPsgNxKau1Tx8/03KB01shGbzKDgT9YlZ3ty6+AkEpA7ZJ4YGgR1ya4YyzGSHSVnhWMSO8UsVrRwghhBBClIcCcZXQSoGgwtdoQlxD7TfGVyCutwqBiLQ1klL5xY4Qr5hcLl6YpEBQ4YG4tL2dtN1dvJAywCcyOxjPy1yb5rnEXSUccTYjhBBCCCHKQ4G4ShikQFDhU3M1bqGjgBnjLBC0SYGgsttfyuoubfcVLyziet9EhY/IStvbSdvdxQtpKzwdx8NhV25noLS9Y7x1hBBCCCFEeSgQVwlpT1yLwkcEdWIyMynLdbywiIF4gsIDQY2YzI+Ps46QhOQMAICR88LlVO57IHWE+OJtRoLZCg8T1lzX11TIXJvmSds7euJsaQwhhBBClIcCcZUw26SpocoOxPXiGmppu6N4kZAkbIVk4dzwetwy16Z5WjGHAGeOr0DQmpAEP+MAAPVVp2SuTfOk7e3irSOE02gCW+I5apTb/oGOkDhrf0IIIYQoDwXiKiEFglbOpehAUMpqrYu7QDwt8P/SFklKJHWEaMzxtXWTRqtFPWcBANhrlTsie7ojJFneikSAXUyA5qyrkrkmzYvXjhBCCCGEKA8F4iqRmBwbgaBZXEMtZbmOF1qdDnXMDACwK3hEMNARYk2WtyIRUB8IBCtlrknzTneEJMtbkQiQMsF76pUbiGvF7R05cbtHQgghhJBIoUBcJXR6A+pjIBC08ML6XSnLdTyRAkGHgtfImvzx2RECAE6N0P5uBQeCRnGfeWm7u3jiFgNxr1257a8X219jib/2J4QQQoiyUCCuIrEQCEpZra0NpnLHC4dW+YGgtL1XPHaEuHRCJnIpM7YSmeO4I0TKBC9lhleieO4IIYQQQoiyUCCuInYpEFTo1FyX0w4j5wUQn4G4SysEIh67MtsfOJ3V3WJLl7km4ecRt6RSciAo7Wog7XIQT3zilnhMzMyvRPHcEUIIIYQQZaFAXEWUHghK2xr5GQdrQvwlS5K2RPLbq+WtSDPcLgfMnAdAfHaE+AzC5585lRsISrsaxGNHCC8G4pyCA/F47gghhBBCiLJQIK4ipwNBZU6NttcIHQT1nAUarVbm2oSfV2x/3qnM9q+rFjpCeMYhMSn+RgSlQBBiZmylifeOEIgJ0DRu5QbiNiaMiMdjRwghhBBClIUCcRVReiDorBWSyEnbHMUbaUskTtyrWGkc4rZe9Zw5LjtCmJiJXKmBYLx3hEh70+vEzPBK43Y5YJKWxiRTIE4IIYSQyKJAXEWUHghKScwcmvgMxJlJaH+Np1bmmjTtdCAen+0vbQmm8yqz/e01UvvH54wQrSUZAGDwKTMQD+oIsVGyNkIIIYREFgXiKhIIBBU6IihtayRlt443gUDQo8z299QJ7e+M044Qrdj+BoUG4tKMkHjtCNGLmchNCg3Epf3l7TDFZUcIIYQQQpSFAnEVCQSCvnp5K9IMKZu1J04Dca24N7FSA0EpiZ9LG6eBoJgJ26jQz3+8zwgxilvimXlltr+zrhoAYOes8laEEEIIIapAgbiKaMQ1mnqvMm+EeXHKvE8fn4G4PiEZgHIDwUBHiJhLIN4YE4SOEKUGgtL+5vE6I8QsBuJWcYs8pXHXVwMAnBoKxAkhhBASeRSIq4jOLARYRr8yAxGI2xpJa9njjTFByIRt4ZU5NZeJgbg3TgNxKRBMYMr8/PvFbdW8uvgcEbeKW4IlMjsYz8tcm8a8DnFpjJYCcUIIIYREHgXiKmKQ1mjyyhyR0opr16W17PHGLAYiSh0RlLb1iteOEGuSkAlbqYEgLwbi8TojJCFZ+PxrOQZ7vfLyJPgdQp08cdoRQgghhBBloUBcRYzi1GiLQgNxnZhNXFrLHm/MiUJHSAJzKDIQ1MR5R4jSA0G4hZkSfkN8BuJGkwUepgMA1Fefkrk2jZ2ekRCf7U8IIYQQZaFAXEVOr9F0yFyTpunF/YWlbY7ijVXcEknH8XA6lDc9XdrWi4vTQFzpgaDGI3wmmDE+lwZwGg3qxERojtpKmWvTGHMJn/947QghhBBCiLJQIK4iUiBo5jzwetwy16Yxae26zhqfe/harDb4mPAnZ6+tkrk2jUlJ/LTm+AzElR4IasUZIZwxfgNBh9j+rjrltT/nFtqfN8RnRwghhBBClIUCcRWRAnEAqK9R3o2wWQzEpezW8YbTaGDnzAAAh7hVkpIEOkIs8RmIA4Bd3BpMiYGgTuwI0cRpRwgAOMWt8Tz1yuuIkmYkwBS/HSGEEEIIUQ4KxFVEbzDCwYwAAIcCAxEpm7VJnEIfjxywAFBmIGjkhSULhjidkQAALnFrKo+9Wt6KNMHgk2YkJMtbkQiStmbz2pUXiOvEpTGaOF2aQQghhBBloUBcZeycEAg6FTYiy3geCWI2cYstfgNxp4IDQSmJnzEhfgMRt7g1lc+hvGRtRrH9Ddb4bX8pEZrfWS1vRZpg8Ik5KuJ4RgIhhBBClIMCcZVxiIGgu75a3oqcwe1yQM/5AQDWOA7EXdLUXLvyAkEpiZ+U3T0eSXt0SxmylcQcCMST5a1IBPnE9ddMge1v9Avtr4vj9ieEEEKIclAgrjKnp+Yqa2povZg8i2ccLNb4TZbk1Qntr7RA0Of1wMIJCfwscbw0QNqjmxczZCuJtL+8SdxmMB7xYkZ4TtyzXklM/vjvCCGEEEKIclAgrjIehU7NddYJHQP1nBkarVbm2kSONxAIKqv9G2Zxb5jUL97w0tZUbmUF4oznYWVOAPG9NANiRvhAYjQFsQQ6QuL3808IIYQQ5aBAXGW8emVOzZXWrEvJzOKVX2x/prARWbvY/i6mh8FokrcyEcQCgWC9zDUJ5rDXQsfxAOK7I0RKhKbzKav9ASAhsDQjWd6KEEIIIUQVKBBXGWlqLlPYiKyUvExKZhavAlNz3coaETw9IyG+258zCe0v7dmtFNJ2dj6mgdkSv9tnacT21/nsMtckmNvlgJHzAgAstjSZa0MIIYQQNaBAXGV4gzIDQa+jGsDprNZxS6FTc93ivs5OLr5nJCg1EHSIORLqOQs4Tfx+LUt71BsVNiJeX3N6O8EEGhEnhBBCSBTE7x0faRITR2Q1ChsR9DqE+sR7IB6YmutVViDuEXMGuOK8/aU9ug0KCwSdYkeII847QvTi1mwmcc96pXBIM0KYGVqdTubaEEIIIUQNKBBXmdNTc5UVCPLimnWfuIY6Xkl7FEt7FiuFT1waEO8dIXqL8Pk3+pUViHvE7QTjfWmGUcxILm3VphQuMRC3x3lHCCGEEEKUgwJxldGIgaBeYSOCTJwqL61hj1fS1FyDX1kjgn4xeZy0z3a8Mohbg5kVNiJ7emlGfLe/WcxILu1ZrxSBpRlx3hFCCCGEEOWgQFxldJZkAIBBYWtkOTF5HDPEdyAu7VFsVtiI7OkZCfHd/max/aWtqpTC7xQ6Qjxx3hEiZSS3ci74fT55K9OA1BHiivOOEEIIIYQoBwXiKmMIrNFUViCo8Qr1kbaXildGcUTQrLARQWlfbX+cLw0wi3t0W5kTjOdlrs1pgY6QOA/EE5JO75FeL2aKVwKvmCMh3pdmEEIIIUQ5KBBXGSkQtChsjaa0Zl1awx6vzIlC+ycobEQ2sK+2Mb7b3yKOyOo5P1xOBb0H4tIAf5zPCDGaLPAwIRmatGWeEqhlRgghhBBClIMCcZUxiWtklbZGUy9OlZeSmcUrqxgImjgvPG6XvJVpILCvdpx3hFgTksAzDgBgV1AgKM1I4OM8EAdOJ0RzignqlICJHSE+FbQ/IYQQQpSBAnGVsYgjskpboyltJxX3gbgtJfD/9lrlBII6cWmAJs4DcU6jQT1nBnB6724lCOxiYIrvzz9wOhB3K6gjhFNRRwghhBBClIECcZUJWqOpoEDQJE6VN1jiOxDU6Q1wMCMAwFGnnEDQ4BdnJFjiPxB0QFgH7Kqvkbkmp+l86ugIAQCXmJnc7VBO+2vEQJwzxv/nnxBCCCHKEJVA/OWXX0Zubi5MJhNGjx6NX375pcXjP/zwQ/Tt2xcmkwmDBg3Cl19+GY1qqoLRZIGb6QEAdgWNCEr7Cktr2ONZYGqugkYEpX219XE+IwE4vUWVW0FTo6XtBNXQEeLWCp9/n4ICcWlGCGeO/46QSArlWr9s2TJwHBf0YzKZolhbQgghRF4RD8Tff/99zJs3Dw899BA2b96MIUOGYMKECSgvL2/y+J9++gnTpk3DTTfdhC1btmDq1KmYOnUqtm/fHumqqka9AgNBi7hm3ZQQ/4GIIxAIKicQkfbVlvbZjmcuKRB0VstbkQaMYiCuF7cXjGcenTD9W0mBuN4nLA2I96UxkRTqtR4AbDYbTpw4Efg5dOhQFGtMCCGEyCvigfizzz6L2bNnY9asWejfvz8WL14Mi8WCpUuXNnn8888/j4kTJ+Lee+9Fv3798Oijj2LYsGF46aWXIl1V1XBwUiCojECc9/thhZC4zJyY2srRsU+amuuxK6P9gdP7aptVMCNB2qvbq6BAUJoRIm0vGM/8OuHzz8Tp4EpgEmeE6FTQERIpoV7rAYDjOGRnZwd+srKyolhjQgghRF66SD65x+PBpk2bMH/+/MBjGo0G48ePx/r165s8Z/369Zg3b17QYxMmTMCKFSsiWVVVcWmtgA/w2KvlrgoAwF5fg0SOAQASbPEfCLp1CYBPOSOCjOeRwBwAB5jErO7xTNqrm3cqJxCUOkJMKpiRIG3RJmUqVwKTX+oISZa3IjGqPdd6AKivr0dOTg54nsewYcPwz3/+EwMGDIhGlcPCaa+LyHNawv6s8YveA/lQ28uL2j8+RDQQP3XqFPx+f6Ne7qysLOzevbvJc0pLS5s8vrS0tMnj3W433G534N+1tcq5uVMqtxiIKyUQdNRVIRGAh2lhNMX/V4BPHBH0O5XR/i6nHWaOBwBYbfE/I8GnwEDQypwAp44ZIVJmcs4d/puI9pI6QtSQoyIS2nOtz8/Px9KlSzF48GDU1NTg6aefxpgxY7Bjxw507dq1yXOUdr1PeyX8nQbxfwUML3oP5ENtLy9q//gQ81nTH3vsMSQlJQV+unXrJneVFE9ao6mUQFBaq27nLOA0Mf+RbJVPLwaCCpmaa68RkvbxjINVBWv0mV4YEecU0v5ulwNGzgsAsKigIwRG4fOvFROkKYFVzFFhVsGMBKUoLCzE9OnTUVBQgLFjx2L58uXIyMjAkiVLmj1HCdd7syURu/T9I17OLn1/mC20nV5T6D2QD7W9vKj9409ER8TT09Oh1WpRVlYW9HhZWRmys7ObPCc7Ozuk4+fPnx80lb22tpaC8VZIgSDvUkYg7hKzVzs4C9QwHsUbhMzMnEJGZB1iroB6zgybCjpCmLhFmMajjBHZ+ppKGMX/T1DB0gCNmBBN51VG+3s9bpjEjhCrCpbGREJ7rvVn0uv1GDp0KIqLi5s9RgnXe06jQd/5P8LhiOznt68lURUd0+1B74F8qO3lRe0ffyIaiBsMBgwfPhyrV6/G1KlTAQA8z2P16tWYM2dOk+cUFhZi9erVmDt3buCxr7/+GoWFhU0ebzQaYTQam/wdaRpvEEYE4VLGjbBHDMSlJGbxjokjgpxCAsFARwisUMPmTZxReJVKCQQddVVIA1DPzEjQauWuTsRpxY4Qacs2uTnqqiHNA7GooCMkEtpzrT+T3+/Htm3bcPHFFzd7jFKu95xGA4sKZg8pGb0H8qG2lxe1f3yJaCAOAPPmzcOMGTMwYsQIjBo1Cs899xzsdjtmzZoFAJg+fTq6dOmCxx57DABw1113YezYsXjmmWcwefJkvPfee9i4cSNeffXVSFdVNZhRGhFUxoisV5wi79KqIxDnTMoKBKXs+U6NOlYHSVtU6Xx2mWsicDVYmpEgc12iQSfulW7wO2SuicAuBuJupofRIH+QF6tCvdY/8sgj+N3vfodevXqhuroaTz31FA4dOoSbb75ZzpdBCCGERE3EA/Frr70WJ0+exIMPPojS0lIUFBRg5cqVgaQuhw8fhqbB9IcxY8bg3//+N/7617/igQceQO/evbFixQoMHDgw0lVVDc4o3O5rvcoIRPxi0jivTg1hSMOpucoYEZS28VJLR4gUCBoVMiLrFncvcKpkRoiUmdzsV1b72zkzKAxvv1Cv9VVVVZg9ezZKS0uRkpKC4cOH46effkL//pFf/0gIIYQoQcQDcQCYM2dOs9PT1qxZ0+ixq6++GldffXWEa6Ve0tRcrUJGBHlxrbSUTTze6aVA0K+M9pc6Qjwq6QjRi3t1G3lltL/XIXz+1bI0wyi2v5kpY0TcbRfa38mZZa5J7AvlWr9w4UIsXLgwCrUihBBClIlW4quQ1iysUTYoJBCHGIj7DWpYoQzozMkAAJNCRgSl7Pk+lQTiRnFE1qKQQNwX6AhRx9IAaYs2q0ICcY9dnBGiko4QQgghhCgDBeIqpLcIAa9BISOyEJOWBZLIxTmjuEWSiVdGIMLE/Zyl/bXjnVncK9rCnDLXRMBL7a+SGSFSQjQz54HX42754CjwOoX2d6skRwIhhBBClIECcRXSi2uUlRIIaqXs4UZ1jIhLU3MtUEYgKO2nzaskELeIW1QlcE74fT6ZawPwLikQV0dHVMMtwhx11fJVRCTNCPGqpCOEEEIIIcpAgbgKKW2NplZMWqYxqSMQl0YErcwBxvPyVgYN9tNWyYyEhoGgvb5GxpqIxBFxXq+OQFBvMMLJDAAAe22VzLVR34wEQgghhCgDBeIqZFLY1FyDT7gRlraVindmcf9HLcfgcsq/PEDKns+ppCPEaLLAzfQAAEdtpcy1ATQeoSNK2l9eDeycMA3cKe5hLyfmFtrfr5KOEEIIIYQoAwXiKmROEAIuC+dWxNRcaT9haVupeGex2sAzDgBgr5N/RFAvJu1Ty4wEQNiqCgCcdQoIxKWOEJXMSAAApxiIS1uHyYkLzEhQT/sTQgghRH4UiKtQw6m59QpYoyntJyztLxzvNFotHDABAJwKmBqtF5P26czqGZGVtqqStq6Sk07cz1wtMxKA03vWe5QQiHvVNyOBEEIIIfKjQFyFjCYLPEwLQBlTQ6W16gaLegIRhxgIuhTQ/kZxRoLerJ72l7aq8jiUEIgLHSFak3oCQbcYiEtbt8lJKy4N4CgQJ4QQQkgUUSCuUtIaTSUEgtJadWl/YTVwilsleRQwImsSO0L0VnUsDQBOb1Xlc8rf/oGlGSrqCPGKGeKljOVy0gWWZlAgTgghhJDooUBcpaQ1mi67vDfCfp8PFk7YS1hau64GUiDoVUAgaBY7QkwqCsS9OqH9/Qpof2kbQb1KciQAp7dq4xUQiEtLM9Q0I4EQQggh8qNAXKVc4tRor8yBeMPto6RtvdTAoxVHZBUwNdeqwkBcCgT94h7ecpICcYNVPR1RvJSYTpwWLiejypJFEkIIIUQZKBBXKWmNplfmQNAhZg33Mi2MRrOsdYkmr0ICQbfLAQMnZM43JyTLWpdokraqYm75A3GLuDTApMJAXKOAQDzQEaKiHBWEEEIIkR8F4ioVGJGVOxAUR8TtnBmcRj0fR59ODARd8k6NdtSd7oixJqpnRFDaqoqTORBnPA8LXAAAc2JKK0fHESkQF7duk5OULNKokl0bCCGEEKIM6ol8SBCfXlqjKW8gKK1Rd0I9o+HA6UCQyTwiKG2f5mQG6PQGWesSTdJWVZzMgaDTUQctxwAAlgT1dIRIidG0XvlHxC0qXJpBCCGEEPlRIK5Sfp0ypuZ6xKnxLjF5mVpIU3PlHpGVtq+TtlNTC84otL/cgaCjthoA4GcczBb1JAvTiHum633ydoT4vB6YOQ8AdeWoIIQQQoj8KBBXKd4gjgjKHAhK20dJa9ZVQxyRlXtqrtQRImXRVwuN2P46mQNBp70agPqWZkhbtUlbt8nFXqfOZJGEEEIIkZ967vxIEKVMzfU5hY4Aac26WkhTc3Uyj8h6HEJHiNpmJGjNyhiRdYn7yKttaYbeLHz+jby8gbg0I8TDdDAYTbLWhRBCCCHqQoG4Sillaq60j7NPp65AUJqaq/PL3BEijoirrSNEKSOybnFE3KmyjhCDmBjNpJBA3K6yGSGEEEIIkR8F4ioVCATlTpbkFsqX9nVWCykQNMo8Iittn+ZR2dIAvbhVldyBoM8htL9bZYG4UUyMZoFT1nq4pWSRKsuRQAghhBD5USCuUlpxarRe5hFZ5hECESl5mVooZWouLwbi0nZqaiFtVSVtXSUXKUeC2mYkmMUM8RbmBON52erhFZdmqG1GAiGEEELkR4G4Sukswo2wUeapuRpx+y6mskBcKVNzpaz5fr26AnFpqypp6yq5+MV95L0qmxEiJUbTcTxcTvk6A73S0gwKxAkhhBASZRSIq5RBIVNzNeLUeM6onq2bAOVMzZWy5jODutrfnCB8/i2cG36fT7Z6MHFGgl9lMxIsVlvg/+111bLVw+dSZ7JIQgghhMiPAnGVUsrUXJ2YtV1tgbg0ImhlDlmn5kpZ89U2I8FqSwn8v72+poUjI0uakcCrbEaCRquFnQlZyl0ytj8vJYvUq+vzTwghhBD5USCuUqaEZADyT82V1qhLa9bVQlojq+WYrFNzdYEZCeoKRIwmCzxMCwBw1FXJVg9OXJrBq6wjCgAcYoI0l13+jhC1zUgghBBCiPwoEFcpixgImjkPvB63bPWQto+S1qyrhcVqA884AIBdxkBQJ2Ztl7Loq4kUCLplHJHViDMSoLIZCcDpBGluGQNxSB0hKluaQQghhBD5USCuUtLUaABwyLhGU8oarjerKxDUaLVwQJia65QxENSLHSFas/oCEYe4d7ScI7LSjAQ1doRIW7Z5xenhclBrskhCCCGEyI8CcZUyGE1wMz0AwFFfLVs9zGIgbrCqLxAJTM2Vsf2N4tIAnco6QgDALQbiHoeMgbhfmpGgvo4QKVO5T8ZAXCstzVBh+xNCCCFEXhSIq5hdAYGgtEbdpMJAXJqa67HLF4hIMxKMKlsaAABurfyBoMEnLs1QYUeIR1yX7Zex/QNLM1S4Rp8QQggh8qJAXMWc0hpZmQJBxvOwwAUAMCemtHJ0/FHC1Fyz2BFisKovEPdohUDQ56yTrQ4mXggE9Rb1BeJSgjQpYZoc9FIgrsKlGYQQQgiRFwXiKubSCDfCHpnWyDrstdBwDMDp5HFqIu1d7JNxarRV3L7OpMJA3KcT2l/OEVkTL3aEqHBGgl8vBeL1stVBShapN6uv/QkhhBAiLwrEVcwtjgh6ZRoRlJLE+RkHs0V9I1JenZAgyu+Sp/19Xg9MnBdAcPI+tfBJW1bJGAhaIC4NUGFHCG8QZgFwMo6Im6RkkSqckUAIIYQQeVEgrmJerTQiKM+IrFNcm27nzOA06vsoSoEgc8kzImuvO/2+qzEQl7asYh55AkHG84EcCWpsfxiFz7/GK19HiJlJHSHJstWBEEIIIeqkvuiHBEgjsrxMgaC0Nt0Jsyzly43XC+3PPPIEIo66SgCAh+lgMJpkqYOsxC2rNDK1v9vlgI7jAQBmFS7N4MQEaVppL3UZnE4Wqb72J4QQQoi8dHJXgMhH7jWabns1AMAlJi1TG14MBOWamusSO0LsnAWGEM/1+/3wer3hr1Q0JWbDldANGp0BLpcr6sVXVZxESkI3AIBGK08d5KRJyIQroRu0Bossr93v80GbmAkXAK2x43XQ6/XQarXhqRwhhChALFzr3W4PNOK11O32QKOLrWsp1T/2GAwGaMI0k5cCcRVj4tRczi3PiLjXIZSr1kAc4oigRqYRQbeYpM/JmdHWnPWMMZSWlqK6ujpi9YoWU8+xKOk+BAbOhJKSkqiX7/N6UH3WM+DBQXP4cNTLl5uxSwFK0p+BhjPI0v4874fmrGcAAKymHlW1jg4/Z3JyMrKzs8FxXIefixBC5BJL13qe5wPf5XxpOTSaUzLXKDRU/9ij0WjQo0cPGAyhDmM1RoG4ijFpRFamQFBKUiZlD1cbjUkIxHUyrZENdIRwbV8aIF2YMzMzYbFYYjrgcNRWwuLSwwUTTJk9ol6+22mHsc4PL7TQy1C+3Jz2GpjtWnigh0GG1+/1uKGv9oBngCarZ4eeizEGh8OB8vJyAECnTp3CUUVCCJFFLF3r/X4ftBVu4f/TcqDVxlZoQ/WPLTzP4/jx4zhx4gS6d+/e4b+N+G4t0iJO5kBQCsQD2atVRmMSMjXr/PJ0hHjFbdOk7Pmt8fv9gQtzWlpaJKsWFbzHCJNP+AI1maK/Rp753DDpOHDQwihD+XJjfg9Mbg4aAAYZXj/H/DDqOPiggS4M5ZvNQodWeXk5MjMzaZo6ISQmxdq13u/3QasTruV+kynmAkGqf+zJyMjA8ePH4fP5oNfrO/RclKxNxbRSIOiTJxDkA4F4gizly01nFtrfKFP7+0KckSCtE7NY4mMGA6cRLhYceFnKZ7xf+K9Kv4Y1GiFQ1cjU/rzY/nwY21/621D6mkpCCGlOvF3rCQk3aUq63+/v8HOp8w6QADg9IquXKRCEmKSM16tzRFzau9jId3xtanvw7ZyRoOQpaqGQtsyTKxAMBOKcOr+GA4E4Y7KUH4mOkHj52yCEEPo+I6Rp4fzbUOcdIAHQMBCUJxDnxG2jpOzhamOwCFsmmWQKxKX9y/16dba/RhwRlz0Q5NQ5hZkTp25rOAael6EzRBoRV2lHCCGEEELkRXcgKmYQA3G5AkGttDZdzB6uNiZx72gLnPJUQOUdIYFAEDxYC8H4wYMHwXEcioqK2vzcy5YtQ3JycssHsdBGxNtTDyXTak53QPBhmN4VKrUvDSCEEHJaxK71UagHiV10B6JixoRkAICFyRMIasVs7VL2cLUxi+1vZQ4wGUYENWIgzlQSiB85cgQ33ngjOnfuDIPBgF69euOuB59CZVV1YL1wU7p164YTJ05g4MCBbS7r2muvxd69e1s+SHzP1To1ndNowDNhehfP+6JePgu0vzpnJBBCSDw681qfk5ODu+66CxUVFS2eF7FrPSEtUOcdIAEAmKzCiLhcgbiULVyj0hFxS2IyAEDLMbic0V8eIM1I4FTQ/gcOHMCIESOwb98+/Oc//0FxcTFeeeUVrP7hFxReOhOnTp5s8jyPxwOtVovs7GzodG3PBGo2m5GZmdnyQeKIOFQcCErTwlkLHSERE2h/ugwSQkg8aOpav3jxYqxevRqFhYWorKxs8ryIXusJaQHdgaiYJTEVAGDkvPC4XVEvX8oWrhWzh6uNxWoLjAja66qiXr7WJyxJUEMgfscdd8BgMOCrr77C2LFj0b17d1x88cVY9d4SHCstx98efBAAkJubi0cffRTTp0+HzWbDLbfc0uQ0sc8++wy9e/eGyWTCuHHj8Oabb4LjOFRXVwNoPF1twYIFKCgowNtvv43c3FwkJSVh5i1zUFdvDwSCK1euxNlnn43k5GSkpaXhkksuwf79+6PVRLKQMpbLMTUdjEbECSEkntx5558aXesnTZqEb775BseOHcP//d//AYjutf66665DXV1d4Jgzr/WXXnoZ9h88Eo3mIQpEgbiKWROTAv/vqKuOevlStnBprbracBoN7BD2L3bW10S9fEOgI6T9gThjDA6PL+o/La3pPlNlZSVWrVqF22+/PbDXsyQzMxM3XDEJH330UeA5n376aQwZMgRbtmzB3/72t0bPV1JSgquuugpTp07Fb7/9hltvvTVwcW/J/v37sWLFCnz++ef4/PPP8cP6X/D4S28A4lppu92OefPmYePGjVi9ejU0Gg0uv/xyeRKZRYkUiMsyIs7TiDghhLSFXNf6UK73lVU1+Oqrr5q81mdnZ+OGG27A+++/H/Vr/dq1a/H4448Hft/ktf7me+L6Wk+aF/+7rpNm6fQGOJkBZs4DR101ktOzo1q+iRemxBusSa0cGb+cnBmJcMJVXx31sg3i0gB9BzpCnF4/+j+4KlxVarOdj0yAxdC2r699+/aBMYZ+/fo1+h0PDfr16oGqqk9wUpyefv755+Oee+4JHHPw4MGgc5YsWYL8/Hw89dRTAID8/Hxs374d//jHP1qsB8/zWLZsGRIThY6PaVdeitU/bMAD4ojslVdeGXT80qVLkZGRgZ07d4a0Zi2WME4DMICx6AfinDgiDg0F4oQQ0hK5rvVA26/3+0oON3utB4B+/fqhqqoq6tf6P/zhD1i9enXgvDOv9a+//hqyszth594D6NdpSKuvk8QXugNROTtnAQA4ZQgELRBGxI0qHREHAKdG2MPbY6+NetlStny9WR0dIU31qjeVMXvEiBEtPs+ePXswcuTIoMdGjRrVavm5ubmBCzMAdMpKR3lFVWA/83379mHatGnIy8uDzWZDbm4uAODw4cOtPnesCrS/DCMBHGiNPiGExJu2jqBH7VrfqRPKy8sD/z7zWt+zZy8AwOFjpW2qN4kvNCKuci7ODLBqeBzRnRrNeF5IEscB5sSUqJatJG6NGeABr1OGQFxM0teRpQFmvRY7H5kQriqFVG5b9erVCxzHYdeuXbj88suDfsdzGuwqLkFKcjIyMjIAAFarNax1lej1+qB/ayD0nEPcz3zKlCnIycnBa6+9hs6dO4PneQwcOBAejyci9VGCwIi4DFPTpRFxTkOBOCGEtESua71Udlv0yu3W7LUeAHbt2oWUlJSoX+s5jguadn7mtd7r9WDIkAJ4vN6I1IcoGwXiKufSWAA/4LFHNxB3uxwwccIXkzlBHSOyTXFrrYAP8EW5IwQQtk0TOkKS2/0cHMe1eYq4XNLS0nDhhRdi0aJFuPvuu4PWjpWerMC7y/+HaddeA47j2vR8+fn5+PLLL4Me+/XXX9tRM+Hzr9FoUFFRgT179uC1117DOeecAwD44Ycf2vGcsSWwdRuTYUScAnFCCGmTmLjWpyZj/PjxTV/rS0vx7rvvYvr06TJc609r6lq/du2aDj0niW00NV3l3FpharovyiOy9gbJ4awqDsR9OqFH1u+qa+XI8OL9flg4NwDApII1+i+99BLcbjcmTJiAdevW4ciRI1i5ciWmXDsLXbIz8eAD97b5uW699Vbs3r0bf/nLX7B371588MEHWLZsGQC0+QIPAByE6XOcRouUlBSkpaXh1VdfRXFxMb799lvMmzcvpNcYk6Rp4TKMiGtAgTghhMSTF154vslr/YUXXoguXbq0ur67oXBd6xtq6lr/5z+3/f6DxB8KxFXOq0sAAPijHIg7xUDczkzQaNV7I+wT25+5otwR0iBLu7UDI+Kxonfv3ti4cSPy8vJwzTXXoGfPnrjllltw7lmFWP/ZMqQmt316fo8ePfDRRx9h+fLlGDx4MF555ZVAJlWj0djm59GIgbhGq4VGo8F7772HTZs2YeDAgbj77rsDCWLimhQEyzEiToE4IYTEleau9ePGjcP69euRmpra5ucK17W+oaau9U888US7novEB2XPMyERJ43I8lEOBF3iVHgHZ0ZkVunEBl4vvHrmqY9quY66KiQC8DItjCZLVMuWS05OTqA3W1J/8jASvBWoFwPBM7OmAkLilTOTv1x66aW49NJLA//+xz/+ga5du8JkErajmzlzJmbOnBn4/YIFC7BgwYLAv3nej7tn34C7Z98Av7hGfPz48di5c2dQOQ3LbaoeMU+cms7JkDVdw3iAg6o7AgkhJN40da0/U7Su9QAwd+5czJ07N/DvM6/1fr8P7Nhm4f+bqQeJXxSIq5xfL47IuqMbCHocQuDv4sytHBnfeKOQWZNzR3dquqte6ggxIUnN2zeJU6NDDQQXLVqEkSNHIi0tDT/++COeeuopzJkzp83n835/YDqSmgNBaTSai/KIOGMMWk6ckUAj4oQQQprQ0Ws9Ia1R8R04AQAmjshyUR6RlbK0u7RqHg8HYBA6QjRee1SLdYsdIU6oYzS8WZr2JQvbt28fLrvsMvTv3x+PPvoo7rnnnka94C3hxTXRfsa1e61ZXBDbX5omHi28/3THi5o7QsLt5ZdfRm5uLkwmE0aPHo1ffvmlxeM//PBD9O3bFyaTCYMGDWqUGIkQQuTU0Ws9Ia2hQFzlmDgiq/FEd0RWSg7n0ag7ENSYhLXJOm90O0Lc4oi4U+Xt394R2YULF+L48eNwuVzYu3cv/va3v0Gna/sEIykQ5Dl1fwVznDwj4jzvE/7LAE7l70G4vP/++5g3bx4eeughbN68GUOGDMGECROC9s9t6KeffsK0adNw0003YcuWLZg6dSqmTp2K7du3R7nmhBDStI5e6wlpDd2BqBwnBuJaX3RHZP1OIfD36NQ9Iq4xCe2v90U3EJf2LXerPRAXA0FNtKdGiyPiTOVfwVJHiEamEXGe06h7RkIYPfvss5g9ezZmzZqF/v37Y/HixbBYLFi6dGmTxz///POYOHEi7r33XvTr1w+PPvoohg0bhpdeeinKNSeEEELkoe67QAKNWZ4RWeYWAkG/Tt2BoE5sf4PfEdVypSz5HpW3f2BEPMqBoBSI8yr/Cpav/YXy1N7+4eLxeLBp0yaMHz8+8JhGo8H48eOxfv36Js9Zv3590PEAMGHChGaPBwC3243a2tqgH0IIISRW0V2IyunEEdloB4JScjgpWZxa6S1CIG7ko9v+UpZ8n8rX6HNaeUZkAyPiKp8WLa3PjvaMBJ5mJITVqVOn4Pf7kZWVFfR4VlYWSktLmzyntLQ0pOMB4LHHHkNSUlLgp1u3bh2vPCGEECITugtRucCIbJQDQSk5HG9QdyBusCQBAEy8M6rl8mKWdp/KO0LkmhoNCsQBnM5YruVYYJQ6GgIzElTe/rFm/vz5qKmpCfwcOXJE7ioRQggh7UYZB1TOYBUCQXOUA/FAcjiVB+JGsf0tiG77Q5yRIO1jrlZSIKhhPBhjUVsvzMQRYLWPyDbMWO7n/dBFays9GhEPq/T0dGi1WpSVlQU9XlZWhuzs7CbPyc7ODul4ADAajTAajR2vMCGEEKIAdBeiclIgaGbRHZHVitt1cWLWcLWyJCYL/2XOqI4ISh0hTOUdIVIgyHGIavuDSSPi6t46S6PRgmdC54c0Sh0NjNGMhHAyGAwYPnw4Vq9eHXiM53msXr0ahYWFTZ5TWFgYdDwAfP31180eTwghhMQbugtROXNCMgDAyqI7IqsTs7RLWcPVypwgdIToOB5uV/TeA2nfcilrvlppNFowJvy/X9zSKiqkoL+JEWCHw4Err7wSNpsNHMehuro6evWSAS/OQmi4t3dTFixYgIKCgjAVKpbVoCNk2bJlSE5Ojl4d4sy8efPw2muv4c0338SuXbtw2223wW63Y9asWQCA6dOnY/78+YHj77rrLqxcuRLPPPMMdu/ejQULFmDjxo2YM2eOXC+BEEKiyuFw4Oqrr4Et/xxwXYbF/fW+rSJ9rVXS9Z4CcZWTAnED54PH7YpauQa/EAjqVB6IW6ynZwTU11ZFrVypI4RTQfufPHkSt912G7p37w6j0Yjs7GxMmDABP/74IziOC2TOZq0EguHEscaBoOTNN9/E999/j59++gknTpxAUlJSo2OWLVsGjuMa/ZhMpkhXPeyk9ufDNCL+5ptvYuTIkbBYLEhMTMTYsWPx+eefBx8kLQ2gEfGwufbaa/H000/jwQcfREFBAYqKirBy5cpAQrbDhw/jxIkTgePHjBmDf//733j11VcxZMgQfPTRR1ixYgUGDhwo10sghMS4lq73SvTmm2/ihx9+wE+fvoETW76K++t9uLXpeq9wtEZc5ayJp//oHXXVMBibX58XTkYxS7ve0vhLR000Wi3qmRkJnBOu+hoA0ckCLO1brlVBIH7llVfC4/HgzTffRF5eHsrKyrB69WpUVFQAEEZktQhfINgmUpbwJgLB/fv3o1+/fq0GJDabDXv27Al6LBb3xJbWaYdjavqf//xnvPTSS/j73/+OqVOnwuv14p133sFll12G559//vRoawsdIaT95syZ0+yI9po1axo9dvXVV+Pqq6+OcK0IIWpx9dXXwOv1Nnu9V5r9+/ejb9++GNi3FwDA38w1PF6u9+HU5uu9wtFwgMrp9AY4mQGAEIhHi0lcky5t36VmDs4MAHDZa6JWprRdnc4c3x0h1dXV+P777/HEE09g3LhxyMnJwahRozB//nxceumlAIAD/9/evcdJXdf7A399v3O/7BWWvSQgFxWvKaAImqKgEJ0OplkoJ6UI0qMdOVKG/VLDS5pZmlrHOv2K/B20Uyc1q5OlKJqGmOR6QSQlEAWWy8Ls3O+f3x/fz3d2h92Zncv3OzPLvJ6Pxz6U3ZnvfPjssN99fS7vzwd7oHxkKrq7u7OepyhKJjysX78eiqLgj3/8I0477TS4XC6cf/752LdvH/7whz/g+OOPR2NjIy6//HKEw/m3GPz617/G6ed+HI4JM3DiaTPw3e9+N/O12bNn47vf/S5eeOEFKIqC2bNn57yOoijo6OjI+tBnH3/84x+jq6sL6cP2vS9cuBBf+MIXMn/+zW9+g6lTp8LpdGLixIlYvXo1kslk1mv85Cc/wac+9Sm43W4cc8wxePLJJ/P+/f7f//t/mD59OhoaGtDR0YHLL78c+/bty3xd78t169Zh+vTpaJk0HbP+eQn+ftgvGXfddRfa29vR0NCApUuXIhrNv2Ln5Zdfxne/+1185zvfwVe+8hVMnjwZxx9/PO644w6sWLEC119/fabKtiLSWPPfT+L4086E2+3Gpz71qSF/USu2DUREVB2+vgBefPHFvPf7HTt2QFGUit7vTzzxRDgcDhx99NFD3u///Oc/Q/nIVMz+9LKc16nl+/2MGTPQcOzZ6Dj1AvzLv3wu7/3e7XZj1qxZgwYVzLzfA9qqgnHjxtXk/Z5BnKoSBPXicHqxuHoWVbX+j1Ww/x3yuDSru8wZcSGAeKjyH/rG7mF4vV54vV488cQTiMViOR5V+IzsN7/5TTz44IP4y1/+gg8++ACf+cxncN999+GRRx7B73//e/zpT3/CAw88kPP5mzZtwmc+8xl8euHH8eYzv8TXV92Am266CWvWrAEAPPbYY1i2bBlmzpyJPXv24LHHHivo73m4Sy+9FL29vXjuuecynzt48CCeeuopLF68GADw5z//GVdccQWuu+46vP322/jRj36ENWvW4I477si61urVq/GZz3wGb7zxBhYsWIDFixfj4MGDOV87kUjgtttuw+uvv44nnngCO3bswJIlSwY97v/8n/+j/RLy1P/AarXg6mv+LfO1X/7yl/jmN7+Jb33rW3j11VfR2dmJH/7wh3n/zo8++ii8Xi++9KUvDfraypUrkUgk8Otf/xoA8Oqm17D0K7di+Re/gO7ubpx33nm4/fbbs55TShuIiI5I1brXF3O/97gKuN8Xzqj7/aJFi/Dmm2/im9/85pD3+zPPPBN7XvsTHvvPe0pqZ7Xv99/85mq8/vQv8MT//e6w9/tXX30VVqs1a4DA7Pv9xo0bsXTpUlx77bU1eb/n0nRCRHEDog+xkK9ir+kRYUDp36Nez6KqB0gDiYi/Yq/pSmt7xB3lbg1IhIFvdRnQoiJ9fTdgH/7oNavVijVr1mDZsmV46KGHMHXqVJx77rlYtGgRTjnlFAAD9gmL4aum33777TjrrLMAAEuXLsWNN96Ibdu2YeLEiQCAT3/603juuefwta99bcjnf+9738OcOXPw9RVfghNxHHXqudi24wN85zvfwZIlS9Da2gq32w273Z73GCcA6Ovrg9ebXfX+Yx/7GP7whz+gpaUFH//4x/HII49gzpw5AID/+Z//wejRo3HeeecB0G64q1atwpVXXgkAmDhxIm677TbccMMNuOWWWzLXXLJkCS677DIAwLe+9S3cf//9eOWVVzB//vwh2zXwBjtx4kTcf//9OP300xEMBrPae8cdd+Dcc89FqOddrLrm8/jEFf+GaDQKp9OJ++67D0uXLsXSpUsz/f7MM8/kHaH++9//jkmTJsFutw/6WldXFxobG/H3v/8dAPDD/1yD+bNn4foV/wZPcxuOPfZY/OUvf8FTTz2VeU4pbSAiOiJV614PFHW//+lP/y++9KWrct7vi2HU/f6mm24CABx77LF4++23h77fjxkNAMg1HVDL9/tUKgnL3jcxcfxRuO++e3HmmTNz3u8BYNWqVfjEJz5Rsfv997//fcyfPx833HADANTc/Z4z4oSo6gYAxMOVCYLxWBR2RVsOwyAOxC1a/ycrGcTligSn98hfkXDJJZdg9+7dePLJJzF//nysX78eU6dOzYxK60G8kOPLBt7M29vb4Xa7Mzdl/XMDl2UdbsuWLTjrrLOgQnstRbXgrLPOwrvvvotUkcXiGhoa0N3dnfXxk5/8JPP1xYsX49e//nVmZmDt2rVYtGgRVFmp/fXXX8ett96aWTXg9XqxbNky7NmzJ2u53cC/s8fjQWNjY96/46ZNm/DJT34S48aNyxRPAbRiXQNlrqtY0Nmu/RKiX3fLli2YMWNG1uMLOdZKFDhzsvXdbZgx9SQoav8e8cOvX2obiIioOi6++OK89/tiGHW/H+hIvN8vXHgRxp2+AA3Hno3zz9cGAnLe7wF0dnYCqNz9vpDrV/N+zxlxQsziBlJAMlyZpdHhgA/6GNbAYnH1KiGDeKpCQVyk0/BAG+VzeZrLu5jNrY1WV5rNXdTDnU4nLrjgAlxwwQW46aab8MUvfhG33HILlixZAkXVfgwOXJqeSCSGflmbLfP/iqJk/Vn/3OH7tIaiQruBqGrpxcJUVcXkyZNzfv2Tn/wkhBD4/e9/j9NPPx1//vOfce+992a+HgwGsXr1alx88cWDnjuwGmsxf8dQKIR58+Zh3rx5WLt2Ldra2rBz507MmzcP8Xg867H6dYWiQoE8wqyMs9yPPfZYvPjii4jH44NGyXfv3g2/349jjz02++9SRv8TEdWNat3r9dcuQr77vR5MB4Y4s+/3Rqjl+/2FF16AtQ/ejrZRLdgecmHBggU57/f6NYHK3+9rFWfECQmLtuQnFQ1U5PX0onARYYfVNnhZSb1J2rTlOyJWof4P+aEq2k3IVe5AiKJoS8Yq/VFmtdATTjgBoZC2PH/UaG02tqenJ/P1gYVcjHT88cfjpZdegiqXwauqBS+99BKOPfZYWCzGhkKn04mLL74Ya9euxaOPPorjjjsOU6dOzXx96tSp2Lp1KyZPnjzoQx3ifPNCvPPOO+jt7cVdd92Fj33sY5gyZUre0XQAQ1YuP/7447Fx48asz7388st5L7No0SIEg0H86Ec/GvS1e+65BzabDZdccgkAYMoxE7Dxb29BGfD3PPz6pbSBiOiIVK17vcH3+7a2NgDIOkrR7Pv9QEfi/f5b3/oWPjZjKqZMnoD9+4e53w/B7Pt9Idev5v2eM+KkBcEIkK5QENeLwoUVF1wVecXals4E8WBFXi8S6IMHQFooWeeYH4l6e3tx6aWX4gtf+AJOOeUUNDQ04NVXX8Xdd9+NhQsXAgBcbg/OnHoyvnf/D3DCqWdg3759+MY3vmFKe1auXInTTz8dd9z3Y3z2ny/Ei0/9DQ8++GBJRUGEEFmDB7oxY8ZkbqyLFy/GP/3TP2Hz5s34l3/5l6zH3Xzzzfinf/onjBs3Dp/+9Kehqipef/11vPXWW4MKmRRq3LhxsNvteOCBB3DVVVfhrbfewm233Zb/SUP8EnDddddhyZIlmD59Os466yysXbsWmzdvzloWeLiZM2fiuuuuw1e/+lXE4/Gs40y+//3v47777sPYsdrxgF/+/GU451NLcN/3H8Qln/40/vjHP2btFyu1DUREVB29B3349OILsHTp0tz3e5cLZ555Ju666y5MmDChIvf72267DZ/97GexYcOGI/J+/+CDP8C/XnIu3tq6DXfc+R9FX8fs+/2//du/4ayzzsI999yDhQsX1tz9njPihJRNmxGv1IxsXAbxiMIYDvQHcaVC/R+RRflCcGbNCB6JvF4vZsyYgXvvvRfnnHMOTjrpJNx0001YtmwZHnzwQe1Bioqffu8WpJJJTJs2DStWrCj5xjScqVOn4tFHHsEvnvwjTppzKVavvhW33nrrkFVGh+P3+9HZ2TnoY+AM9Pnnn4/W1lZs3boVl19+edbz582bh9/97nf405/+hNNPPx1nnnkm7r33XowfP77kv19bWxvWrFmDX/3qVzjhhBNw11134Z57hqkEO8SM+Gc/+1ncdNNNuOGGGzBt2jS8//77uPrqq4d9/fvuuw8//OEP8eijj+Kkk07C9OnT8cILL+CJJ57Al7/8ZQDaLzSzpp2E//zON/CDH/4QH/3oR/GnP/1p0C9jpbaBiIgqz+tx44wzzsh/vwfw05/+FMkK3e9/+ctf4he/+AVOOukk3HzzzUfk/f7Xv/41Tjjv07jrwZ/h29/+dtHXMfN+DwBnnnkm/vM//xPf//73a/J+r4hCd7uPEH6/H01NTejr60Nj45E922eUlx/6V5zZsxYvt1+GM69+yPTXe/25X+Gjz38R2ywTMemm10x/vVr38pqv48wdP8ArLZ/AGdc9YvrrvfvaCzjmN5/EPrRizDe3F/y8aDSK7du3Y8KECVl7ika64ME98EZ7EFK98HQcY/rrxWNR2Hu3IC0UqB851fTXq3Uh3354wh8iorjg6pxi+uvpFV4BIN1+ClQDlwjm+zfCe5Px2KdAONgH9z3jtP//yk64R1gBTra/+g7/O6hWx4i61w/8mZ5qPxkWy8ha7Mv2jzxG3uuP7OkwKohwaGdJq4nKLI3Wq4PHLMMfR1EXHNqMuCURqsjLxWRRvojK/gcARc7IKgUcX2YEkdZODEgr/PEL9BdMq1T/p2W1WiFwxK8IISIiotpl6m8hBw8exOLFi9HY2Ijm5mYsXboUwWD+sDd79mwoipL1cdVVV5nZzLqnVDgIpiLaEmy9Wni9U53aQIgtWZn+T4a1/o+p3BoA9IcxBZUNgmmOgwIYEMQr1f+yOn5aUTPVW4mIiIgqzdT1A4sXL8aePXvw9NNPI5FI4POf/zyWL1+ORx7Jv/x22bJluPXWWzN/drsZ2MxkcWpLJ6wVCoLpqDYjnrRyRhYArC4ZxFMVCuIRbUY8zoEQjTy+TK3YjDiD+ED6QIhaoSAuBgyE8PAyIiIiqhbTgviWLVvw1FNP4a9//SumT58OAHjggQewYMEC3HPPPejq6sr5XLfbjY6ODrOaRodRZRCv1IysXh1cP7ar3tnc2p4yRypckdfTj6lLWNn/ADIVRys1Iytk4Bdcmg4AUDMDIZUpV8KBECIiIqoFpv0msmHDBjQ3N2dCOADMnTsXqqoOOqvtcGvXrsXo0aNx0kkn4cYbb0Q4nDugxGIx+P3+rA8qjk3OyDrSlQmCSlwL4sLGGXEAsLm1gRCnqEz/CxnEuSJBoy+NrtSMLGQQFAyCAADF0t//lagdyiBOREREtcC0GfGenh6MGTMm+8WsVrS2tg55Fp7u8ssvx/jx49HV1YU33ngDX/va17B161Y89thjQz7+zjvvxOrVqw1te72xe7QZWWe6MjPiiiwKpxeJq3dO2f8uEanI6wk5EJIucSAkna5QYK0QvWq2KrQgaPa+YT0IckZcY9H3iCtAKp0yveKqEOb1/5H2b4OI6hd/nhENzchJg6J/41m1atWw58Rt2bKl5AYtX7488/8nn3wyOjs7MWfOHGzbtg2TJk0a9Pgbb7wR119/febPfr8/c4g7Fcbh0WZkKxUELTIIKgziAACntxkA4KlQ/+vnlaftxfW/3W6HqqrYvXs32traYLfbj4hiV6lkEqmk9kM1HQlDVc3dORyLx2FNCkRVAUs0auprjQRCCCAhoChAIhSGzW439fWi0SgsSYGoIqAa1P9CCMTjcezfvx+qqsJu8t+BiMgsI+1en0olYZH38FQ0OuKOz2L7RxYhBPbv3w9FUWCz2cq+XtG9tXLlymEPo584cSI6OjqyDpoHgGQyiYMHDxa1/3vGjBkAgPfee2/IIO5wOOBwOAq+Hg2mB0F3hYKgXhROrxZe71yy/+1KErFoGA6nuUXUVL06vqO4PeKqqmLChAnYs2cPdu/ebULLqkMIAaVvPwAg7bdBNfkmEgv0wpEKIWYJwxFImvpaI0Xa1wsVaSR9Flht5obYWNAHR9KPmOqCI2jsUni3241x48Zl6g4QEY00I+1en06nofrlPTzgGHE/f9n+kUdRFBx11FGwWMqfuCn6N862tja0tbUN+7iZM2fC5/Nh06ZNmDZtGgDg2WefRTqdzoTrQnR3dwMAOjs7i20qFcgtg6BTSSARj8FmN3dgQ68ObmEQBwB4vI2Z/w8H+kwP4taktiJBLWFFgt1ux7hx45BMJpGS1aePBJEH/gUuJY69Cx9F+9gJpr7W6//1EKb41uG1zs9iyiVfNfW1Ror9Dy5HGw5hx/n/gaOPPd3U13rtl3dgyr7H0d0yH1MW327YdS0WC6xWa03PHBERFWIk3esjoQBcf/is9v+ffw4uz8j63ZLtH3lsNpshIRwwcY/48ccfj/nz52PZsmV46KGHkEgkcO2112LRokWZium7du3CnDlz8PDDD+OMM87Atm3b8Mgjj2DBggUYNWoU3njjDfz7v/87zjnnHJxyyilmNbXuuRuaM/8fDvjQNKrd1NfTq4NbZbXweme12REWDriVGCLBPrS0mTvo1L8ioXGYRw5NX45jxJKcWhEM9cIJH5KRAJxOp6mvZen7AM7gB1AgTH+tkSIVPgRn+gMkw4dM7xPVvwvO4AcQzSn2PxFRDiPlXp9OxuAMfqD9v8M+4n6us/31zdT1A2vXrsWUKVMwZ84cLFiwAGeffTZ+/OMfZ76eSCSwdevWTFV0u92OZ555BhdeeCGmTJmClStX4pJLLsFvf/tbM5tZ92x2B6JC+0EbCvhMfz2nrM5ud5cWBI9EYcUFAIgEfaa/lj2p9b/Fxf7XRRRtFUIs1Gf6a5U7EHIkiqla4cBE2PxTL/StGYqdx/cRERFR9Zi6GbK1tRWPPPJIzq8fffTRWZXnxo4di+eff97MJlEOYcUFJxKIhXymv5ZLHtPl8DSb/lojRVRxAcKHeNj8IKgfU2djEM+Iqm4gBSQi5vd/ZmuG68hfvlWouMUNJIFkxPwgrm/NUDgQQkRERFV05O+op4KE9RnBoPlBRC8Kpx/bRTIIAohXYEbQJYO4w8v+18UtlZuR1bdm2Fzsf13Cqs1Op+UZ92bSVySwRgURERFVE4M4AQBiFQqCyUQcLiUOIHtver2LWbT+r8SMoAsyiHNrQEbcqgXxVMT8IMitGYOl5Jn26VjQ9Ney6zUquCKEiIiIqohBnAAAMX1G0OQgEgr0z7gziPdLWPQgaG4QF+k03EI7O9nJGfGMlAziIlaBIC5XhNi5IiQjZZP7tWPmD0TpAyE2FoskIiKiKmIQJwBAQs7IpkzeIxsOHAQAxIQNdgcrK+qStsoszY1Fw7Ap2lEk7oYWU19rJNFnZCsRxD2yRoJTHhtIgJCF09S4+TPirrS2NJ1bM4iIiKiaGMQJwIA9miYHkWhIm/HSq4STpj8ImhtEBlbF9zCIZKTt2jJlxeQgmLU1g/2focgz7SsSxOWKBAdXJBAREVEVMYgTgAFB0OwZWXk8F4N4NiFnxBWTl+ZG5fFcYeGAarGY+lojikN7/6txk7dmBPu/v9ya0U+RhdMsspCaWUQ6DQ+0rRkurkggIiKiKmIQJwCAkEHc7BlBvRicXiWcNPrSXCVhbhCJyBnxkML+H0ifkbWY3v+HAABxYeXWjAEs8igxW9Lcnz/hkB+qoh2Z6eFACBEREVURgzgBAIRDLs1NmPuLsH48VEz1mPo6I01mRtDkIJgZCOGKhCxqJgia2//6ioQgB0Ky6BXM9YrmZgnLgaikUOF08WcQERERVQ+DOAEAFIc2I2sxeUY8HdWCYMLKIDKQKmdkzZ4RTMhifFyRkM3qkv2fMjmIy60ZEQ6EZNErmOsVzc0SzqwIcUFRefsjIiKi6uFvIgSgf0bQavKMYEoG8aQsDkcaSyYImhtE9BUJcQtnAwfKBEGT+z8e0gdC2P8D2T3azx+zg3hM9n8EHIgiIiKi6mIQJwD9QdBu8oygXhVcLw5HGptLC4JmL81NyXPi41b2/0A2txYEHaIyAyExDoRk0Y9yc5vc//GQDwAQ4YoQIiIiqjIGcQJQuSCoyOPR0jbOiA9kd+szgmYPhGj9n2IQz+LyNGv/lUdbmSWzNcPCIDiQSx7l5kEUIp027XUSciAqxiBOREREVcYgTgAqFwT1YnBC7okmjV2eaWx2EMwEcTv7fyCHHgRNnpFNZWokcCBqIE9DCwBAVQTCIfOO8EuGtaXpXBFCRERE1cYgTgAqFwT1YnAKg3iW/qW55vY/VyQMzS2DoF1JIRY1L4yLqD4Qwv4fyOnyICUUAP0F1cyQlu//JIM4ERERVRmDOAGoXBDUi8GpTgbxgdxyRtalxJFMxE17HTWuBREOhGTzyP4HgJD/kGmvo8iBKMGBkCyKqmbOto/IyvJmSGeKRTKIExERUXUxiBOAygVBvRicRZ4bTBp3Q3Pm/0OBPtNexyqPR1M4EJLFYrUiLBwAgEjQvKXRihwI4daMwcLQjnSLBs17/0NfEcKtGURERFRlDOIEoHJBUC8GZ2UQz2J3OBETNgDmzghak1r/68fVUb+wogdB82bErQluzchFP9s+Hjbv548qVySAWwOIiIioyhjECUB2EAwHDpr2OnoxOIe7aZhH1h89CJoZxO1JrkjIJSKXRsfC5s2I61szLFyRMIh+tnrCxP5X5UAI2P9ERERUZQzilJGZETSxarFeDE4vDkf9IrL/YyHzZgT1gRC9Sj7102dkE2Gfaa9h40BITnGr1v/JiIkDIQmt/7kigYiIiKqNQZwywhUIgvrxUHpxOOoXyQRB84KIM631v12em0394vJsb/2saTM45ECIjStCBtELqOkF1cxgY40KIiIiqhEM4pSR2aNpUhBPxGNwKgkA/cXhqF88E8TNGwhxQ1uR4GT/DxKXZ3unTQzi+kCIjSsSBknq/R81cSAkpQ+EsP+JiIiouhjEKSMm92iatTR04PnAA4vDkUafkU2aFEREOp1ZkeD2tpjyGiNZSi6NNnNGVj8ekCtCBkvrBdRiZq5IkAMhLg5EERERUXUxiFNGQgaRlFlBXBYhiwkb7A6nKa8xkvUvzTUniETCAVgUAQBwNTCIHC4lz/YWsaBpr8GtGbkJGcT1s+7N4JJB3MEaFURERFRlDOKUoS8NTZkUBKMyiIfkXnTKlgmCJs3Ihv0+AEBaKHB7uDT3cPqMrGJSEIxFw7ArSQCAi0F8EL2AmioLqpmhf0UCgzgRERFVF4M4ZaRs2oysMGlpaExWY48wiA8pszQ3bs6MbCTkAwAEFRcUlf/0B9GDoEn9Hw707/33cmvGIHoQ189aN1o6lYJHiQLgQAgRERFVH38bp4y0nJFVTAriehE4/bxgyta/NNecIBINav0fhtuU6490ehC0mBQE9RoJYeGAxWo15TVGMr2SuV7Z3GihYP9AiKeRNRKIiIiouhjEKUPIIKKYtDRUPxYqpjIIDsXsIBiTM+JR9v+QVKcWBK1Jc97/UTkQFeaKkCFZZRC3p8KmXD8cOAQAiAsLHE7+GyAiIqLqYhCnDMWhzciaFQRTES2IJKycER9KJognzQki+vnkHAgZmtWl9b/dpBlZfSAkorD/h6Kfra5XNjdaVK5ICLH/iYiIqAYwiFOG2TOCabnkPckgPiSLHgRN6v+kPJ88xv4fUiYImjQjmwj7AABRC/t/KA5ZQNBlVhCXKxJYo4KIiIhqAYM4ZVicWhC0Jc2ZEReyGntS7kWnbDa3vjSXAyHVoPe/U1bWNpq+NSPOFQlDcnqaAfRXNjdaXA5ERTkjTkRERDWAQZwyrCbPCCqyCJmwMQgOxebS+t9p0oxgWh6Lph9TR9lcMgi6hDn9n5JbA+IcCBmSfqSYV4kgnUoZfv1kRG7NsDCIExERUfUxiFOGXc4IOtLmzEjp5zMLB8+wHord5BlZyBnxzDFplMUhg6DHpP4XMS0IphjEh+QdUMk8LI86NJJeIyHOrQGGO3jwIBYvXozGxkY0Nzdj6dKlCAbzr6yaPXs2FEXJ+rjqqqsq1GIiIqLqYxCnDLucETdrRtAiq7HrReEom0ueLe0xqf8zx6LZG0y5/kinny1tV5KIRU34HsitGSn2/5AcTjeSQrsl6Ue9GSmzIoRbYwy3ePFibN68GU8//TR+97vf4YUXXsDy5cuHfd6yZcuwZ8+ezMfdd99dgdYSERHVBh5mSxl6EDFrj6a+91wvCkfZnB5tIMStxJBOpaBaLIZeX9Wr4TsZBIfilQMhABAO9Bl/xJUcCOGKhKEpqoqQ4kITQogEDgGYYOj1hVwRwhUJxtqyZQueeuop/PWvf8X06dMBAA888AAWLFiAe+65B11dXTmf63a70dHRUammEhER1RQGccpwefuDYDIRh9VmN/T6Nrn3XK8OTtk8A4JgKNiHhqZWQ69vlUFc4daAIVmsVoSFA24lhnDAh5a2TkOvr8qtGQpnxHOKwI0mhBALG780vX9rBvvfSBs2bEBzc3MmhAPA3LlzoaoqNm7ciE996lM5n7t27Vr813/9Fzo6OvDJT34SN910E9xu7uEvVSQUKOrxLncDFNWchZEinUYkPHx7IqEAjpTv+Ejsf6A+vwe10vdAffY/UFvfA52ZbcqFQZwy3A1Nmf8PBf1oahlt6PUdshq4XpSMsjmcbiSEBTYlhXDgkOFBXD8WzeJmEM8lrLjgRixz1JWRrHJFiMIVCTlFVDeQBmJB4/tf35ohuCLBUD09PRgzZkzW56xWK1pbW9HT05PzeZdffjnGjx+Prq4uvPHGG/ja176GrVu34rHHHsv5nFgshlgslvmz32/CgM0INuo/Tizq8VtsJ2DKjS8Z/ounSKex9c6zMCXx9rCPPVICCDAy+x+oz+9BrfQ9UJ/9D9TW90AX/spOuL2VzSjcI04ZDqcbcaGNzUSCPuOvL6uB2xkEh6SoKsKKEwAQNSGI2DMDIQyCuUTk0VaxkM/wa1uT2vufWzNyi8mj3RIR4wOWJcGBkGKsWrVqUDG1wz/eeeedkq+/fPlyzJs3DyeffDIWL16Mhx9+GI8//ji2bduW8zl33nknmpqaMh9jx44t+fWPFC53A7bYTijpuccn3i5p1mg4kXCg6F+Ct9hOgMs98v5tHin9D9TX96DW+h6or/4HavN7UA2cEacsIcUNO/yImhDE3bIImaPCo00jiZlLc/Vj0WzuZsOvfaSIqm4g1V9h20iZFQkuBvFc4lYPkARSEeMHoiwcCCnKypUrsWTJkryPmThxIjo6OrBv376szyeTSRw8eLCo/d8zZswAALz33nuYNGnSkI+58cYbcf3112f+7Pf76z6MK6qKKTe+hHCRS2GLnb0tVe/Vm+HyDB8uplRhSagRjpT+B+rje1CrfQ/UR/8Dtf09qMZACIM4ZYkoLrQIvylLc90iAiiAQ57XTINFVZdpS3P1avjs/9ziFi2IJ02YkXWmtSDOFSG5Ja3ajHg6avwouV1uDbBwRrwgbW1taGtrG/ZxM2fOhM/nw6ZNmzBt2jQAwLPPPot0Op0J14Xo7u4GAHR25q7N4HA44HA4Cr5mvVBUteLLKQvl8jTUbNuMwv6vvlr8HtRL3wO12f/AyPgejLyhFzJVVHEBABIGB/FEPAankgCQXZSMskVVraKzGUtz9Wr4enV8Gixu1fYPp0wJ4lr/2zkQklNS9r8wIYjrNSqs7tq+KY80xx9/PObPn49ly5bhlVdewUsvvYRrr70WixYtylRM37VrF6ZMmYJXXnkFALBt2zbcdttt2LRpE3bs2IEnn3wSV1xxBc455xyccsop1fzrEBERVQyDOGWJWcwJggPPBXYziOcUlzOCRgfBZCIOt6IVOWL/55bSZ2RjxgdBN/QVCQyCuegVzUXchCCuD4RwRYLh1q5diylTpmDOnDlYsGABzj77bPz4xz/OfD2RSGDr1q0Ih2WdELsdzzzzDC688EJMmTIFK1euxCWXXILf/va31forEBERVRyXplOWuMUNJIBkxNhfhEMBH5oARIUNTjuXFuaSlAMh6aixQTwU6IMe/xjEc0vZzJmRFek0PCIMKOz/vGRFc73CuZG4NcM8ra2teOSRR3J+/eijj4YQIvPnsWPH4vnnn69E04iIiGoWZ8QpS1IGEaODoF6FOiyXvtPQMv1v8IysXgU/JmywO5yGXvtIkpZBUDE4CEYjIVgULYgwiOch92+rCeODuL41w8kVCURERFQDGMQpS8qqzcgKg4OgXnwsrBxJJyYaL23T+h8xY4OIHsRDHAjJLzMja/SKkEMAgLRQ4PZwaXQuikML4laDgzi3ZhAREVGtYRCnLPqMIAwO4nF5HJR+TjANTZgUBGMyiHMgJD9FHm1lkUeNGSUig3gIzhF5PEml6Ee72VJhQ68bCvQXn2QQJyIiolrA3wgpi5DFkozeo5mQ5wLrxeBoaPqMoNFLc+OyCj4HQvJTnebMyEZD2kAUB0Lys8ogrlc4Nwq3ZhAREVGtYRCnLIpDm5G1GBxEUrL4W8LCIJKP4tL2rxodBBOy/zkQkp8eBO0Gz8jqNRKiHAjJyy6PFnOaFMS5NYOIiIhqBYM4ZVEzS3ONDSJ68beEPCeYhqYvzbUnjR4I0WbE4wziedn0/k8b+/5PyBUJDOL56UeLOWVhNaPEZP9HGMSJiIioRjCIUxbVpS3NtRu8R1bI4mMpG4NgPjZ3MwDjl+bqAyF6VXYamk1W1HYZHMRT8jg0DoTk55L7tz3C2P6PZwZC2P9ERERUGxjEKYtNLo22GxwElZgWBPU96DQ0uwyCzrTRAyFaEEwxiOflkmdMuwwOgqmIviKEQTAf/WgxtxJDKpk07LoJvVgkB0KIiIioRjCIUxabvjTU4BlBJaEFS70qOA3N6W0GALgNDoKKDOKCKxLycg6YkRXptGHX1VckcCAkP09jS+b/Q8G+PI8sTmZrDGtUEBERUY1gEKcsDhnEjZ4R1IuP6cXgaGiuhlYAgNfg/tersAsHVyTk42nU+t+upBCLGvg9iOtbM/j+z8fhcCEhLAD6C6wZIcUaFURERFRjGMQpi9OrzUi5DS6WZE1oM7IWufSdhuZq0PrfriQNDYJ6FXz9nGwamtvTiLRQAABB/0HDrqvqKxK4IiQvRVUzlc2jAdHFS2QAADiySURBVJ9h12WNCiIiIqo1DOKUxeXVgprRezT14mMWN4N4Pl65NBoAgn3GBUF9RYLKIJ6XarEgKINg2MggnlkRwhUJw4lA6/+IPPLNCJmtGaxRQURERDWCQZyymLVHUw/iNnfLMI+sbxarFSHhBABEDJwR1IvvWV0MIsMJQ5s1jRr4/rfKUwi4ImF4EVnZXD/yzQiKvjWDKxKIiIioRjCIUxaH0424CXs0XbIKuEMWI6PcQopWUCoSPGTYNR0pbZm7jSsShqUHwZiB73+bPBfe4uRAyHCiFi0sxw0M4pY4a1QQERFRbWEQp0H0IGjkHk2P0IK4a8DSaxpafxA0Log7ZfE3O4P4sKKysnYibFz/2+VAiJX9P6y4LKiWivgMu6YtyRoVREREVFsYxGmQiF4syaAZqXQqBQ+iAPqLkVFuUX1prjz72Aj6cWhOrkgYViYIho2bkdXPheeKhOElZWX5dMS4/rfrKxLY/0RERFQjGMRpkKicEY8bVCwpGPBBVQQAwCuPh6LcYlYtiCfDPkOuJ9JpeGQVfA6EDC9h1ZaP60deGcGZ1vrf4eEe8eFkjngzsv9Zo4KIiIhqDIM4DWL0Hk29+nRcWOBwug255pEsmVmaa0wQicUisCkpAIDLyxnB4aRkZW1hYBD06CsSPM2GXfNIlXbIwYqYcf3PGhVERERUaxjEaRCj92jqRd9CigeKyrfccPSluSJqzEBIyN+/19nDID6stKysrRgUBFPJJDyKvjWj2ZBrHtFkELfEA4ZdkjUqiIiIqNYwFdEgRu/RjAW0IKgXgaP80nYtiOhnH5dLPwYtKFxQLRZDrnkkUxzaYIVqUBAPDhgI8TZxa8ZwVFlQzZow5v2fXaOC/U9ERES1gUGcBknJIGjUHs2Y3GuuFyGj/IScEVQMmhGMyv4PyyJ8lJ/i0vrfKgt8lSskt2bEhI1bMwqgVza3G9T/WTUqOBBCRERENYJBnAYxeo9mQhYdi1kYxAuhyLOmrQljgkgspH0fIxwIKYjq1N7/NoP6PyJXhAQU9n8hbB4tiDtSxvR/f40KK5wufg+IiIioNjCI0yCKwXs09WOg9L3nlJ/RS3MTckY8pnJGvBA2dzMA44Kgfh58hFszCmL3aJXN9SPfyhUJaEE8yP4nIiKiGsIgToMomSBozIx4Wi5xT9oaDLnekc4ql0bbU8YEEX1FQtTK/i+ETVY2d6TDhlwvrgdxCweiCqGfda9Xmi9XNFMskv1PREREtYNBnAaxuI3do6kvcU/bGQQLoZ917DQoiKdkEE9yRUJB9CDoNmhGtn9rBvu/EHpBNY8IQaTTZV8vHtIGQqLcGkNEREQ1hEGcBulfmmtMENGrT2f2nlNeDnnEmMugIKgfg5a0s/8L4fRqAyFGzcjqpw8kbAzihXA3akHcrqQQi5b/PUiEtP5njQoiIiKqJQziNIhDLs11pY2ZEdf3mitOBsFCZGZkYUwQVGQQTzOIF8TTqAVxtxJDIh4r+3rpiA8At2YUytvQjLRQAGQf/VaqVESvUcH+JyIiotrBIE6D6EtD3QbNCOrHQCmcES+IW87IekUE6VSq7OupciBEcCCkIHoQB4CwPIO9HPp58BwIKYxqsSAEJ4D+Qmvl0FckcCCEiIiIagmDOA3ikktDvSJsyB5Nfa+5Ve49p/w88qxjVREIh8ovmKcX3VOd7P9C2OwOhIUDABAyYEZWjWv9L9j/BQvJo94iBgyEIMoaFURERFR7GMRpEH1G0KakEAmXf4SWfgyUvvec8nO6PEgK7Z9myF/+jKB+HraF/V+wsKId9WbEjCy3ZhRPP/M+JiuelyMzEMIVOURERFRDGMRpELencUAQLH9GUC86Zpd7nyk/RVUzZx5HDZgR1AdCrAziBQvLIBg1IAjakloQt7iay75WvdArnCfC5f/84UAIERER1SIGcRpEUVWE5Ixg2IAZWX2vucvbMswjSReWQTwSNGAgRAZxO/u/YFFVD4J9ZV/Lwa0ZRYvLo/ZSBvR//0AI+5+IiIhqh2lB/I477sCsWbPgdrvR3Nxc0HOEELj55pvR2dkJl8uFuXPn4t133zWriZRHZo9mmUFQpNPw6kFc7j2n4elLc+Oh8oOIW2grEpwM4gXTj7pKyjPAy+HUV4R42P+FSsgK53rF83LoNSosHAghIiKiGmJaEI/H47j00ktx9dVXF/ycu+++G/fffz8eeughbNy4ER6PB/PmzUM0GjWrmZRDRNVmpOJlLs2NhAOwKlrBN3dDc5mtqh8xi9b/CQOCoD4Q4uZASMGMDIIeeQygg1szCpaShdVEtPxihc6UNhBic3MghIiIiGqH1awLr169GgCwZs2agh4vhMB9992Hb3zjG1i4cCEA4OGHH0Z7ezueeOIJLFq0yKym0hCiFg+QKj8IhvyH4AaQEgo8Xs5IFSouZ2RTkfKCSDQSglNJAGAQL0bSpg2EiDL7HwA8IgwogLtxVNnXqhf6UW9KrPz+12tUcCCEiIiIaknN7BHfvn07enp6MHfu3MznmpqaMGPGDGzYsCHn82KxGPx+f9YHlS8uZwSTIV9Z19H3mIcUNxS1Zt5uNU8PgukyZ2SDfVr/p4UCL1ckFCwtK2yLWHmnBiTiMbiUOIDs88lpGE7t548aL//UBo/cmuHi+5+IiIhqSM0ko56eHgBAe3t71ufb29szXxvKnXfeiaampszH2LFjTW1nvcjMCEbLC4L6HvMQ3GW3qZ6kZP+jzKW5YX8vACCouKFaLOU2q24Iux4Ey+t/fSAEYBAvhn7mvTVRXhBPp1LwQNva5GrgihAiIiKqHUUF8VWrVkFRlLwf77zzjlltHdKNN96Ivr6+zMcHH3xQ0dc/UqVtxuzRTMhiY3rxMSpM2qEFESVW5kCIviKBAyFF0Y+6spQ5Ixvq0wZCQsIJq81edrvqhV7h3J4sr/+DAR9URQAAvE0M4kRERFQ7itojvnLlSixZsiTvYyZOnFhSQzo6OgAAe/fuRWdnZ+bze/fuxamnnprzeQ6HAw6Ho6TXpNz0pblqmXs09arfehVqKowiz5wud0Y2LrcWhGXxNyqMHgRtsuJ2qTIrQhQ3+C+gcFZPMwDAIQutlSrsP4hGAHFhhdPF7wARERHVjqKCeFtbG9ra2kxpyIQJE9DR0YF169Zlgrff78fGjRuLqrxOxtBnBNUyl4amIj4A/ecCU2FUGcRtZQdxLQjGGMSLoh91ZS8ziMdkEA9zRUhR7DKIO8sM4pGAtiIkqLjB+XAiIiKqJabtEd+5cye6u7uxc+dOpFIpdHd3o7u7G8Fg/y+2U6ZMweOPPw4AUBQFK1aswO23344nn3wSb775Jq644gp0dXXhoosuMquZlIMeBK2J8oKIXmwsIZe6U2Gs8sxpR5lLc1NhuSLByv4vhk0G8XKDYEIOhEQt7P9i6Gfeu0V5/R+Vxy+GFQ6EEBERUW0x7fiym2++GT//+c8zfz7ttNMAAM899xxmz54NANi6dSv6+vr3wN5www0IhUJYvnw5fD4fzj77bDz11FNwOp1mNZNy0GcEyw2CerGxTPExKojNo83fuVJlFquSKxKS7P+iOLyy/9PlDUQlwtyaUQq9wrlXhMu6jr4ihDUqiIiIqNaYFsTXrFkz7BniQoisPyuKgltvvRW33nqrWc2iAtnczQAAR6q8IAK5x1zfc06Fccozv91lBkG92J5+LjMVRj/zu0EYsyIkyRUhRdH736EkEIuG4XCWVmxQLxYZ49YYIiIiqjE1c3wZ1Ra7txkA4EqXtzTUou9xdjaX16A645ZB3Fvm0lxVVl3nQEhxvM2jAQAeJYpEPFbydfSBkKSdQbwYA8+8D/kPlXydlL41hkGciIiIagyDOA3JJfdoesoMgraEFkT0PedUGG+TFgTdSgzxWLTk6+jHbynyXGYqTIMM4gAQ8B0o+TpKVA6E2Nn/xbBYrQgKFwAg5D84zKNz44oEIiIiqlUM4jQkfUbWIyIQ6XTJ13HIIG71sGZxMbxNozL/X04QtMqq96qLQbAYFqsVAT0I9pXe/6p+DrmTQbBYQVlgLVJGENe3xqS4NYOIiIhqDIM4DUkPglYljXCo9CO09GJjdi+DeDGMCoL68VtWueefChdUtOXM4b7ekq+RGQjhioSihVWt/2OB0vtflUFccGsGERER1RgGcRqS0+VBQlgAAMEygognrQUR14AZXiqMHgTLmRF0yWJ7NnkuMxUuLI8ciwVK73+7PHXAwoGQokWsWniOBcsYCJE1KhRujSEiIqIawyBOQ1JUFUFFq1QcCZReLEmvOu1uHD3MI+lwYYs+I1hGEJfF9hxckVA0/ezveKj0/nck9YEQzogXK27TgngqVPrPH1tC2yNucbcY0iYiIiIiozCIU05BRQsiEX9pM1LRSAhOJQEA8DQziBcrEwTDpQcRjxwIcQ2oQk2FiRkQBPWBELuHQbBYCdn/Iuwr+RpOuSLB1sAVOURERFRbGMQpp4g+I1tiEA8e0vY2p4WChkYGkWKVOyOYTqXggVZxXT+XmQqnV9pOR8oZCNGCuFMeB0iFSzvlz4xI6SsS3CltabqTK0KIiIioxjCIU05Rq7acNl7iHk29yFhAcUO1WAxrV70od0Yw4D8EVREAAG8Tg0ix0g7t/a9EfCU9X6TTma0Z3pZ2o5pVP5zNAAA11lfyJbz6ipAmrsghIiKi2sIgTjnF5dnH6RKXRutL2vWiY1QcPQgi6ivp+WHZ/1Fhg8PpNqhV9UPIAl+lBsFgwAeroh3918CtGUVTZIE7W6K0UxvSqRQa5YoEbo0hIiKiWsMgTjnpZ++KEpfmRoPaktKwyjOUSyHkkVelBsGwX/u+6ecxU3FUl7Y0Wj+CrFiBQ/sBABFhh9PNwahiWeS+enuitPf/wBUhHAgx1x133IFZs2bB7Xajubm5oOcIIXDzzTejs7MTLpcLc+fOxbvvvmtuQ4mIiGoIgzjlJOQeTbXEGdmEDOJRK4N4KVQ5I2stcUYwKmfEwyqDeCn0IOgosf/DfVoQD3BFSEkcXq2ugStZ2kBIUA6EhIWDK0JMFo/Hcemll+Lqq68u+Dl333037r//fjz00EPYuHEjPB4P5s2bh2g0amJLiYiIaoe12g2gGiaP/LGUOCObkkva4zYe3VQK/cgle4lBMB7U9uiHLez/Utg92r56Z6q0IBjp0wZCQlwRUhKHrHTuTgdLen7Yr9eo8IIx3FyrV68GAKxZs6agxwshcN999+Eb3/gGFi5cCAB4+OGH0d7ejieeeAKLFi0yq6lEREQ1gzPilJPFrQWRUpeGChnEkw4GwVLYZKVt/SzqYvWvSGg0qkl1xdGgvf/dJQZxfSAkwv4viV7pXy94V6yoDOLcGlN7tm/fjp6eHsydOzfzuaamJsyYMQMbNmyoYsuIiIgqhzPilJNNHvnjTJY2I6vIJe1pBvGS6Etz3enSgmAqpAXxhL3ZqCbVFXeT1v/eEoNgUg6ExBjES9LQ0gYA8ChRJOIx2OyOop4f12tUcGtMzenp6QEAtLdnnybQ3t6e+dpQYrEYYrFY5s9+f2n3JiIiolrAGXHKyakvDU2V9suOJa7NpCvyGCIqjkvOyJYaBPXzl1Ps/5J45JFXDUoEqWSy6OfrK0ISdg5ElcIrB0IAwC/3exdDHwiJcyCkJKtWrYKiKHk/3nnnnYq26c4770RTU1PmY+zYsRV9fSIiIiNxRpxy0s/eLTUI2uJagFflXmcqjifT/2GkU6miz2K3RLUgKFzs/1IMrLQd8B1A8+iO4i4gB0LSTvZ/KSxWK/xwoxFhhPoOYFT7UUU9Px3hQEg5Vq5ciSVLluR9zMSJE0u6dkeH9m9p79696OzszHx+7969OPXUU3M+78Ybb8T111+f+bPf72cYJyKiEYtBnHLyNGtLQxtFqKQg6JBL2q0eBpFSeFu0IGhRBPwBHxqbRw3zjGw2uSJBlXv9qTg2uwMh4YRHiSJYQhDXj53TzyOn4gUVLxpFGOG+A0U/V4n4AHBrTKna2trQ1tZmyrUnTJiAjo4OrFu3LhO8/X4/Nm7cmLfyusPhgMNR3BYFIiKiWsWl6ZRTo9yjqSoCgb6DRT/fJYtc2b0MgqVwujyICRsAIFRCENGL7Fk97P9S6Wewh+VRcMXgQEj59EJrsUDxP3/UmA8AB0IqYefOneju7sbOnTuRSqXQ3d2N7u5uBIP9q6mmTJmCxx9/HACgKApWrFiB22+/HU8++STefPNNXHHFFejq6sJFF11Upb8FERFRZXFGnHKyO5wICwfcSgxB3wE0tRY3O+KRxw45G0cP80jKJaB44IAP4b7ig6BbrkiwN5gzq1UPwmoDkO5FLFB8//evCCluJQP1i1obgFT/CQDF4EBI5dx88834+c9/nvnzaaedBgB47rnnMHv2bADA1q1b0dfXfwLHDTfcgFAohOXLl8Pn8+Hss8/GU089BafTWdG2ExERVQuDOOXlVxrgRgzhvv0Aji/quQ0iCCiAu4lBvFQh1YvRaR+igUNFP9cjq627mhgESxWxNgDx/grcxXDJIK4fg0bFi9sagRiQDBXf//aE1v8Wbo0x3Zo1a4Y9Q1wIkfVnRVFw66234tZbbzWxZURERLWLS9Mpr7DqBdB/Jm+houEgnEoCAOBtZhAvVURfmltCEGwUWhDX9/pT8WLy6KtkqPSBEK4IKZ1+9J6Q+72LkRkI8XIgioiIiGoPgzjlFZFH/8SCxS3NDfi04J4SCrwNzUY3q27EbFoQTBU5IxgJBTIDIQ0tYwxvV71Iyorb6RKCoD4QwhUhpUs7mgEAStRX9HPdcmuMo4FBnIiIiGoPgzjlFbNpQSRV5IygXlwsoHiKrrZO/RI2bSAkFS6u//2H9mnPFxZ4vKwaXaqUXnG7yCA4cEVIQwtXJJRMFlqzxPryP24I/StCOBBCREREtYdBnPLKzAiGi5yRlVWmg4rX8DbVk5ScERSR4oJ48NB+AECf0gBF5T/zUglnM4Dig6Bf9n9SqFwRUgZVBnFborj+j8eicCsxAICXKxKIiIioBvE3dMpLP4NXKXJprn7cUMTSYHST6krapRX6UqPFBfGIXwuCIZX9Xw49CFrjxQXBkE9bkeBXvBwIKYNNHn3okIXXCqUPhKSFAi+LFRIREVEN4m+IlJdwaRWH1SJnBPXjhqIM4mXRj16yxYoL4nF53FbY0mh4m+qJxa29/+1FBkH9uLkgB0LKYpdB3JUKFPW8kN7/ihsWKw8HISIiotrDIE55ZYJg3FfU8/Q9zXE79yeXwyIrPjuKnJFNyCAetbH/y2GThb6cyeKCoH7ueFjlQEg5nI1a/+sV6AsV6dNmxAPcGkNEREQ1ikGc8ip1aah+3FCSQbwsjgZtf6s7WVwQ1/f068c/UWlcTVrFeW+quP5PylMGYjYG8XK4m7RCdw0iWNTz9FMewlyRQERERDWKQZzyKnVpqBrRfhFOO1sMb1M9ccog4kkXNxCiyOJu+h5/Ko23pR0A0CSK6399IIQrQsrjlRXPnUoC0XDhYTwua1RErRwIISIiotrEIE55ORu1X4SLXRpqjfkAAIqHhZLK4WnWZmSbRAAinS74eZnibrLYG5WmoVXrf5cSRyRU+L8Bvcq9XvWeStPQ2IKk0G5TegG2QmS2xnBFAhEREdUoBnHKSz+DVz+Tt1D2uPaLsNXLo4PK0SiDoENJIBIu/Htgk3vKFQ+DeDm8Dc2ICwsAoO/g3oKfp8pzxwVXhJRFUVX0Kdry8kAR/S9kEE9yRQgRERHVKAZxysvbrC2NLnZpqL6n2d7QZkq76oXH25QJgv6D+wp+nkOeu2zlioSyaEFQm1UNFhEE9YEQ1c0gXq6AqoXpiK+IgZDM1hgORBEREVFtYhCnvLwNzUjoQbCIpaF6cSuXXFpNpVFUFX45Ixg8VHgQd6e0Pc2ORgbxcgVl5fNIX+H9b5cDIRYG8bKFrFoQj/kL//ljlcf9KR6uyCEiIqLaxCBOeWUtDe3dU9BzRDqdKW7lkcWuqHT9QfBAwc/R9/S7GhlEyhUuIQjqx53px59R6WI2bTAjGSz8/e/g1hgiIiKqcQziNKyA2gwACBe4NDQSDsCpJAAATaMYxMulB8F4oLAgqA2EaEHQ08ytAeWKySPgUvJIrEI0pHwAAFcT+79cCbnPPl1EEPckfAAARxNX5BAREVFtYhCnYYVszQCAWIFLc/t6e7THCxvcHlYtLldU9n+hM4KRcAB2JQmgv9gblS7hkEEwVFgQF+k0muWKEG9rp2ntqhdpl7aqQN/3XQhvWt8aw4FAIiIiqk0M4jSsmB4EC5yR1fcy9ykNUFS+xcqVkAWnCp0R1Iu6xYUVLneDae2qF3rBr0KDYCjYB4dcEdI8usO0dtULxa0FcX3f93AGbo3xtjKIExERUW1iSqJhJWUQEaECZ2R9WhAMWHh0kBGES9vnWmgQDB7SthBwIMQYikcPgr6CHt93QFsREhF2uL38N1AufZ+3vu97OAH/IdiVFACgeRQHQoiIiKg28bd0GlbaXVwQjMuiVhErQ4ghZOVnW7SwgZDwQS0I+i2s2G2E/iB4sKDHBw7uBgD4FL7/jaDv83bLfd/D8R/QikqGhQNOt9esZhERERGVhUGchqXKIGiPFRZE9L3M+pJ2Ko+tUQsizgJnBGN92ox4yMYgbgRHk7a82VNgEIzKFSFBa7NJLaov+hGI3rS/oMcHD2kDUT6VAyFERERUuxjEaVjWhuKCoAhpM+L6knYqj0MWnPIkfQU9PhWUe8Tt7H8juFu05c0NaV9Bj0/4tf4PM4gbwiuPQGwWfoh0etjHR/u0nz9BS7OZzSIiIiIqC4M4Dcspl4Z65JFMw7GEtV+E0x5W7DaCRwbBxgKDIIJyIMTFM5SN0DT6IwCAFtGHVDI57OOTATkQ4uAZ4kZoHq1VnrcrSQT8ww8G6gMh3BpDREREtYxBnIblkZWHG+WRQMOxR7W95KqXQdwIjaO0INKCAJKJ+LCPt0TkXnIPz7A2QpOsfG5RBPoO7h328UpYe/+nXAziRnC6vQgKFwCgb/+Hwz4+JbfGxB1cEUJERES1i0GchtXQqgWRZgQLCoLuhLaX3N7Eo4OM0DyqA2mhAAB8vcMHQYfcy682cCDECDa7A4egHQPXd2D3sI+3yIEouBnEjeJTmwEAgd49wz9Ybo1JcUUIERER1TAGcRpW86gOpPQguH/4X4Qbk9ryUVdrp6ntqhcWqxU+RQuCgd7hg6A+EOLgQIhh/DIIhg4O//53yPOuORBinIBVm92OHhq+/60RLYijge9/IiIiql0M4jQsi9WKQ/IoJt8wS0NFOo0W4QMANI76iNlNqxt+WQE6JI8my6dB7uXXi4xR+YJWrQJ91Dd8//cPhHBrgFEidm11QaJv+P53xrSl6VYGcSIiIqphDOJUkD55JnXoYP4Z2WDAB4eSAAC0jGEQN0pID4J9+ZemawMh2l7+hlFckWCUqKxAn5SFwPJpSmlB3N3K979REnKZeTo4fP97E9rWAGcL3/9ERERUuxjEqSAhm/aLcMyXf2mob/8u7fHCCZenwfR21YuorMCdHGZGMOA/BLuiVfbWq01T+fQK9GKYIJhKJtEqV4Q0jxlrdrPqhn4Cg34iQz7NaW1rgHc0B0KIiIiodjGIU0FiTjkjNUwQDMo9zIfknloyRsItl9kG8ve/b98HAICgcMHp9prdrLqRdmvv/0xF+hwOHdgDiyKQFgpa2roq0bS6oJ/AYI/m7/9YNIxmBAEAzW1Hmd4uIiIiolIxiFNBkm5tv6sSyr80OiKLKQWtPDrIUF4tiFvD+fvfv18L4r0WVuw2kkXuN3YMEwT75EDIQaUJVpvd9HbVC/0EBne8N+/jDu3XBgLjwoLGFu7RJyIiotrFIE4FUWQQtEXyLw1NyD3MEVuL6W2qJ9YmbXZVL0SVS7RX2xoQsPHoJiM5WrX+98Tz939Q9n+fhQNRRnLL/m+QJzLk4pdbYw4pzVAtFtPbRURERFQqBnEqiK1Z22/sjOWfkUr75YyUmxWLjeTUg0gif/8n+7T+jzo4G2gkzyhtv3dzKn//xw9p/R+0cUWCkRrkfu9W4YNIp3M+LixX5PgtHAgkIiKi2sYgTgVxtWhBsDGZP4hYg9oe5nQDC4UZqWG0tt+1JZ2///U95AkPB0KM1NIxHgDQKvqQiMdyPi7p14JgzMmBECON6tAGQhxKAv5DuVflxGUxybCdAyFERERU2xjEqSANo7Ug3pLOvzTUGdWWplubWLHYSHoQbEQY0XAw5+Nscg+5woEQQ7WM7kRcWKAqAr17P8j5ODWo9X9KVvkmYzicbhxEIwCgd8+OnI9LyRUhHAghIiKiWscgTgVpaR8HAPAoUQT9ucN4Y0LbQ+saxYrFRmpobEFEaMW/entyB0F3TJsttDVzIMRIqsWCg4q279u39/2cj7PJqupqQ0dF2lVPDlm0ugeB/TtzPsYS0IJ4qoHvfyIiIqptDOJUEG9jC/xwAwB6d/0j5+NGpbQg0tg+viLtqheKquKgqu179ecJIo1Jrf89oxhEjOazakEwfKCQgRCuSDBawK6tMoj15u5/Z0TbmmHlQBQRERHVOAZxKlivqv0i3NezfcivB/2H4FUiAIBRnUdXqll1w68Hwd4Ph/y6SKcxKn0QANA4ZlzF2lUvwrIAnl6QbSitSW1punfMhIq0qZ7E3Noqg1TfrpyPaYzvAwA4R/P9T0RERLWNQZwK5ndoQTzaO/SMbO8ebcluQLjgaWiuVLPqRsilzbImeodeGu0/tB9OJQEAaG3n1gCj6ScBCFmQ7XCJeAyjhbZto7VrYsXaVS/0ApD68vOhjEppKxIax3BFDhEREdU2BnEqWNStFWxL+YZeGhrYpwXEXgvPsDZDwqstt1X6hu7/A7u2AQB60QSn21uxdtULIYOgLTR0EN+/ewdURSAmbGht66pk0+qCtVkbXNILQh4u0HcQDXJFzuiPcCCEiIiIahuDOBVMyAJI1hwzUhG5dzNgY8ViM6gt2nJbR2jo/vf3aHv3e608uswMtlGyYGFk6P4/tFsbCNmvjoZqsVSsXfXCJc9y15efH+7gbm3LjB8ersghIiKimscgTgWztmq/CLuiPUN+PXlQmxGPuDkbaAbX6KMBAE2xofs/dkALIkEnC4WZoaF9EgCgNTF0/4f37wAA+OwcCDGDXgBydOoARDo96Ot+fUWOyhU5REREVPsYxKlgrtHaL8LN8aGXhlr7tF+EU83cn2mGpk5tue3o1ND9D5+2dz/u5f5wM4weeywAoE0cRCwaHvT15CGt/8MuDkSZYcxRkwEAXiWCvoODZ8UjB7T+16urExEREdUyBnEqWIsMgm3pA0inUoO+7g1r1bzto7k/0wxtR2kzsg1KBH2HDgz6uiOo9b/SwoEQM7S2dSEsHFAVgX0fbhv0ddWvVfPmGdbmcLq92AftLPd9O98Z9PVUr7Y1I+IdW9F2EREREZWCQZwKNuaoiUgICxxKAvt2Dz7CbFRCK2LV0HlMpZtWF9zeJhxCIwDgwIfvDfp6Y0zrf2cbj84yg6Kq2GfRlp37dr076OuusBbErS0MgmY5YNcGOfy7tg76msO/AwAgWvj+JyIiotrHIE4Fs9rs6FG1IHJgx+asr0XDQYyBdob1mHHHVbxt9eKALMTm3zM4iLfJJevNnZMq2qZ64nNoy87D+/4x6GujY1qxQk/nsRVtUz0JurVBjsSBwf3fFNH639nB/iciIqLaxyBORel1apWjQ3v+nvX5vTu1PweEC02t3KNplj63tuw8umdL1ud9B3rQCG3fctvYyRVvV72Iyf336YPZZ7lHw0F0pLUzrMdMOKni7aoXev0Jq29H1udFOo2OpFbNvuWoKZVuFhEREVHRGMSpKNHGowEAojd7Rta3Wwvi+6ydUFS+rcySaNFCtvVgdv/vfq8bALAHbXB7myrdrLqhL3t2+rNnZPds3wxVEfDDg1FjuEfcLLY2bbWHN/xB1ud79+2CR4kiJRR0jOeMOBEREdU+JiYqijJKC4JOuR9TF9n1NgCgz8X9sWZydB4PAGgKZQfBwAdvAQD2OY+udJPqinfsyQCA0eHs/j+0U3v/77EexYEoEzXKZf9tiV1Zn9//vtb/e9U2OJzuireLiIiIqFj8jZGK4unS9n+Piu7M+rx1v/aLcGz0CRVvUz0ZNV4Lgl2JD7LOUhb7tCrSkSYuSzdTxzFTAQAfSe9BNBzMfD62Vyse5vccXY1m1Y2uyacgLRSMhg8H9/WH8cCH2laNXjtXIxAREdHIwCBORWmfeAoAoDPdg0gokPl8a1CrIu066qNVaVe96Jx4IpJChVeJ4EBP/2CI16/1v6X9+Go1rS6MGvMRHEIjVEXgw3e7M5+3HtKOM0u1cCDETN7GFuxSOwEAu955JfN5sed1AEComfvDiYiIaGRgEKeijO4YhwNohlVJ4/3NLwMA4rEojkppezbb5YwhmcPucGKP2gEA2PP3TZnPt8e04mGN406uSrvqhaKq2G0/GgBwaPvrmc+PCWgzss6j2P9m2+/RjkcMvf9a5nPNPu0UB+tY/vwhIiKikYFBnIqiqCo+cGvLz33vaUH8w3dfh11JISBc6BjLM8TNtrfhRABAaNsGAMC+XdvRhkNICQUfOfa0ajatLgQbtfd4as+bAIC+QwcwPq0NRI075ZyqtatexNq0qvTW/Vr4TibiGJ/Q9uy3Hzejau0iIiIiKgaDOBUt2qYtT7f2dAMA9m95EQDwgWMyC1VVQOooLWw07PsrAGDn3/4EAPiHdRK8jS1Va1e9sIw7HQAw6oDs/zdeAAB8qHSglRXTTecepw02jQlqqxA++PtrcCoJBIULH5nIo+OIiIhoZDAtNd1xxx2YNWsW3G43mpubC3rOkiVLoChK1sf8+fPNaiKVyDPhDABAV+BNiHQa9h3PAgD6Os+qZrPqxpiTZgMAJka3IBGPIb39zwCA3tGnV7FV9ePo6QsAAJOS29DXuxdBuTKhp4EhsBKOPuUcJIWKceld2L1jK/a9qf38ed9xDFSLpcqtq0+83xMRERXPtCAej8dx6aWX4uqrry7qefPnz8eePXsyH48++qhJLaRSTZx6PiLCji6xF1tfXYdjgtpe5dGnfqLKLasP44+bCj88cCsx/P3Vdeg69CoAwHns7Oo2rE6M7hqPHepYqIrAtlf+F2271gHoX6lA5moa1Y6tDm17xs4N/4OGf/weABAYf0E1m1XXeL8nIiIqntWsC69evRoAsGbNmqKe53A40NHRYUKLyCjexhZsajwb0wLPouN/l8CrRNCLJkw6hTPilaBaLHinZTbOOPR7nPinywAAYeHAxGkMIpXSM3oWjt7335i6cQUAICZsOO78K6rbqDoSGH8B8O6bOGbrjzAKfQCAo8+5vMqtql+8349cA08/MfKabsOvemRi/1cP+776+D0wMYiXav369RgzZgxaWlpw/vnn4/bbb8eoUaNyPj4WiyEWi2X+7Pf7K9HMumedejnw/LNohnaW8rtHfRpnclloxYy58Hrgv3+f+fPrXZdiZnPufydkrHEfvx6xNY/BoSQAAG82zcb00QwUlXL0xy5H9O8PYJSihfC37SfjhLE8Om6k4f2++kb9x4mGX3Mk/RJcbez/6mHfVx+/BzVWrG3+/Pl4+OGHsW7dOnz729/G888/j49//ONIpVI5n3PnnXeiqakp8zF27NgKtrh+nXLuJdjQeQXSQsFW63GY+rlvVbtJdeXo46fj5bZLERU27FbaMeXib1S7SXWla8IUvDZJW4b7rmUyPnLJHVVuUX3pGHcM3j7zO0gKFR8oXWi+7CfVbhIViff76nG5G7DFdoLpr7PFdgJc7gbTX2ekYf9XD/u++vg9yKYIIUShD161ahW+/e1v533Mli1bMGXKlMyf16xZgxUrVsDn8xXduH/84x+YNGkSnnnmGcyZM2fIxww1Qj527Fj09fWhsbGx6Nek4hzctwuexhY4nCNtDOrIkE6ltEJHrFZfFX2HDqCpZXS1m1G39u/egaZRHbA7nNVuyrD8fj+amppGzL2J9/sjm0inEQkbvyx0IJe7gfemHNj/1cO+r74j+XtQ7L2+qKXpK1euxJIlS/I+ZuLEicVccthrjR49Gu+9917OG7PD4YDD4TDsNak4PK6pulgluroYwqurrevoajfhiMX7/ZFNUVW4vU3VbkbdYv9XD/u++vg96FdUEG9ra0NbW5tZbRnkww8/RG9vLzo7Oyv2mkRERPWO93siIiJzmTZnv3PnTnR3d2Pnzp1IpVLo7u5Gd3c3gsFg5jFTpkzB448/DgAIBoP46le/ipdffhk7duzAunXrsHDhQkyePBnz5s0zq5lERERUBt7viYiIimda1fSbb74ZP//5zzN/Pu200wAAzz33HGbPng0A2Lp1K/r6tKq3FosFb7zxBn7+85/D5/Ohq6sLF154IW677TYuRSMiIqpRvN8TEREVr6hibSPBSCuIQ0RERz7em4zHPiUiolpS7H2JJf2IiIiIiIiIKohBnIiIiIiIiKiCGMSJiIiIiIiIKohBnIiIiIiIiKiCGMSJiIiIiIiIKohBnIiIiIiIiKiCGMSJiIiIiIiIKohBnIiIiIiIiKiCGMSJiIiIiIiIKohBnIiIiIiIiKiCGMSJiIiIiIiIKsha7QYYTQgBAPD7/VVuCRERkUa/J+n3KCof7/dERFRLir3XH3FBPBAIAADGjh1b5ZYQERFlCwQCaGpqqnYzjgi83xMRUS0q9F6viCNseD6dTmP37t1oaGiAoihlX8/v92Ps2LH44IMP0NjYaEALK4vtry62v7rY/upi+/sJIRAIBNDV1QVV5a4wIxh5v+d7tbrY/upi+6uL7a+uat7rj7gZcVVVcdRRRxl+3cbGxhH55tKx/dXF9lcX219dbL+GM+HGMuN+z/dqdbH91cX2VxfbX13VuNdzWJ6IiIiIiIioghjEiYiIiIiIiCqIQXwYDocDt9xyCxwOR7WbUhK2v7rY/upi+6uL7aeRYqR/r9n+6mL7q4vtry62v3RHXLE2IiIiIiIiolrGGXEiIiIiIiKiCmIQJyIiIiIiIqogBnEiIiIiIiKiCmIQJyIiIiIiIqogBvEBduzYgaVLl2LChAlwuVyYNGkSbrnlFsTj8bzPi0ajuOaaazBq1Ch4vV5ccskl2Lt3b4Vane2OO+7ArFmz4Ha70dzcXNBzlixZAkVRsj7mz59vbkNzKKX9QgjcfPPN6OzshMvlwty5c/Huu++a29AcDh48iMWLF6OxsRHNzc1YunQpgsFg3ufMnj17UP9fddVVFWox8IMf/ABHH300nE4nZsyYgVdeeSXv43/1q19hypQpcDqdOPnkk/G///u/FWrp0Ipp/5o1awb1tdPprGBr+73wwgv45Cc/ia6uLiiKgieeeGLY56xfvx5Tp06Fw+HA5MmTsWbNGtPbmUux7V+/fv2gvlcUBT09PZVp8GHuvPNOnH766WhoaMCYMWNw0UUXYevWrcM+r9be/1Qa3u95vy/XSLvf815fnXs9wPt9Ne/3tX6vZxAf4J133kE6ncaPfvQjbN68Gffeey8eeughfP3rX8/7vH//93/Hb3/7W/zqV7/C888/j927d+Piiy+uUKuzxeNxXHrppbj66quLet78+fOxZ8+ezMejjz5qUgvzK6X9d999N+6//3489NBD2LhxIzweD+bNm4doNGpiS4e2ePFibN68GU8//TR+97vf4YUXXsDy5cuHfd6yZcuy+v/uu++uQGuB//7v/8b111+PW265BX/729/w0Y9+FPPmzcO+ffuGfPxf/vIXXHbZZVi6dClee+01XHTRRbjooovw1ltvVaS9hyu2/QDQ2NiY1dfvv/9+BVvcLxQK4aMf/Sh+8IMfFPT47du34xOf+ATOO+88dHd3Y8WKFfjiF7+IP/7xjya3dGjFtl+3devWrP4fM2aMSS3M7/nnn8c111yDl19+GU8//TQSiQQuvPBChEKhnM+ptfc/lY73e97vyzWS7ve811fvXg/wfl/N+33N3+sF5XX33XeLCRMm5Py6z+cTNptN/OpXv8p8bsuWLQKA2LBhQyWaOKSf/exnoqmpqaDHXnnllWLhwoWmtqdYhbY/nU6Ljo4O8Z3vfCfzOZ/PJxwOh3j00UdNbOFgb7/9tgAg/vrXv2Y+94c//EEoiiJ27dqV83nnnnuuuO666yrQwsHOOOMMcc0112T+nEqlRFdXl7jzzjuHfPxnPvMZ8YlPfCLrczNmzBBf+tKXTG1nLsW2v5h/F5UEQDz++ON5H3PDDTeIE088Metzn/3sZ8W8efNMbFlhCmn/c889JwCIQ4cOVaRNxdq3b58AIJ5//vmcj6m19z8Zi/f76uD93ny819cO3u+rq9bu9ZwRH0ZfXx9aW1tzfn3Tpk1IJBKYO3du5nNTpkzBuHHjsGHDhko00RDr16/HmDFjcNxxx+Hqq69Gb29vtZtUkO3bt6Onpyer/5uamjBjxoyK9/+GDRvQ3NyM6dOnZz43d+5cqKqKjRs35n3u2rVrMXr0aJx00km48cYbEQ6HzW4u4vE4Nm3alNV3qqpi7ty5Oftuw4YNWY8HgHnz5lXlvV5K+wEgGAxi/PjxGDt2LBYuXIjNmzdXorllq6W+L8epp56Kzs5OXHDBBXjppZeq3ZyMvr4+AMj78/5I+R7Q0Hi/r22835eG9/qRda8Haqv/y1GL9/tau9dbDb/iEeS9997DAw88gHvuuSfnY3p6emC32wftb2pvb6/a3sdizZ8/HxdffDEmTJiAbdu24etf/zo+/vGPY8OGDbBYLNVuXl56H7e3t2d9vhr939PTM2jZjdVqRWtra962XH755Rg/fjy6urrwxhtv4Gtf+xq2bt2Kxx57zNT2HjhwAKlUasi+e+edd4Z8Tk9PT030NVBa+4877jj89Kc/xSmnnIK+vj7cc889mDVrFjZv3oyjjjqqEs0uWa6+9/v9iEQicLlcVWpZYTo7O/HQQw9h+vTpiMVi+MlPfoLZs2dj48aNmDp1alXblk6nsWLFCpx11lk46aSTcj6ult7/ZCze73m/L7YtI+V+z3v9yLrXA7zfm6UW7/V1MSO+atWqIYsGDPw4/B/zrl27MH/+fFx66aVYtmxZlVquKaX9xVi0aBH++Z//GSeffDIuuugi/O53v8Nf//pXrF+/fkS032xmt3/58uWYN28eTj75ZCxevBgPP/wwHn/8cWzbts3AvwUBwMyZM3HFFVfg1FNPxbnnnovHHnsMbW1t+NGPflTtph3xjjvuOHzpS1/CtGnTMGvWLPz0pz/FrFmzcO+991a7abjmmmvw1ltv4Re/+EW1m0Jl4v0+P97v8+P9/sjAe3111er9vhbv9XUxI75y5UosWbIk72MmTpyY+f/du3fjvPPOw6xZs/DjH/847/M6OjoQj8fh8/myRsn37t2Ljo6OcpqdUWz7yzVx4kSMHj0a7733HubMmVP29cxsv97He/fuRWdnZ+bze/fuxamnnlrSNQ9XaPs7OjoGFQ5JJpM4ePBgUe+FGTNmANBmaCZNmlR0ews1evRoWCyWQRV/8713Ozo6inq8mUpp/+FsNhtOO+00vPfee2Y00VC5+r6xsbHmR8dzOeOMM/Diiy9WtQ3XXnttptDScDMltfT+p6Hxfl8c3u+zHYn3e97rR9a9HuD93gy1eq+viyDe1taGtra2gh67a9cunHfeeZg2bRp+9rOfQVXzLxqYNm0abDYb1q1bh0suuQSAViVw586dmDlzZtltB4prvxE+/PBD9Pb2Zt3oymFm+ydMmICOjg6sW7cucyP2+/3YuHFj0ZVkcym0/TNnzoTP58OmTZswbdo0AMCzzz6LdDqdudkWoru7GwAM6/9c7HY7pk2bhnXr1uGiiy4CoC3bWbduHa699tohnzNz5kysW7cOK1asyHzu6aefNuy9XoxS2n+4VCqFN998EwsWLDCxpcaYOXPmoOMzqtX3Runu7jb9fZ6LEAJf/vKX8fjjj2P9+vWYMGHCsM+ppfc/DY33++Lwfp/tSLzf814/su71AO/3Rqr5e73h5d9GsA8//FBMnjxZzJkzR3z44Ydiz549mY+BjznuuOPExo0bM5+76qqrxLhx48Szzz4rXn31VTFz5kwxc+bMavwVxPvvvy9ee+01sXr1auH1esVrr70mXnvtNREIBDKPOe6448Rjjz0mhBAiEAiIr3zlK2LDhg1i+/bt4plnnhFTp04VxxxzjIhGozXffiGEuOuuu0Rzc7P4zW9+I9544w2xcOFCMWHCBBGJRCre/vnz54vTTjtNbNy4Ubz44ovimGOOEZdddlnm64e/f9577z1x6623ildffVVs375d/OY3vxETJ04U55xzTkXa+4tf/EI4HA6xZs0a8fbbb4vly5eL5uZm0dPTI4QQ4nOf+5xYtWpV5vEvvfSSsFqt4p577hFbtmwRt9xyi7DZbOLNN9+sSHvLbf/q1avFH//4R7Ft2zaxadMmsWjRIuF0OsXmzZsr3vZAIJB5fwMQ3/ve98Rrr70m3n//fSGEEKtWrRKf+9znMo//xz/+Idxut/jqV78qtmzZIn7wgx8Ii8UinnrqqYq3vZT233vvveKJJ54Q7777rnjzzTfFddddJ1RVFc8880xV2n/11VeLpqYmsX79+qyf9eFwOPOYWn//U+l4v+f9vlwj6X7Pe3317vVC8H5fzft9rd/rGcQH+NnPfiYADPmh2759uwAgnnvuucznIpGI+Nd//VfR0tIi3G63+NSnPpV1M6+kK6+8csj2D2wvAPGzn/1MCCFEOBwWF154oWhraxM2m02MHz9eLFu2LPPDrdbbL4R2pMlNN90k2tvbhcPhEHPmzBFbt26tfOOFEL29veKyyy4TXq9XNDY2is9//vNZv1Qc/v7ZuXOnOOecc0Rra6twOBxi8uTJ4qtf/aro6+urWJsfeOABMW7cOGG328UZZ5whXn755czXzj33XHHllVdmPf6Xv/ylOPbYY4Xdbhcnnnii+P3vf1+xtg6lmPavWLEi89j29naxYMEC8be//a0Kre4/3uPwD729V155pTj33HMHPefUU08VdrtdTJw4MevfQaUV2/5vf/vbYtKkScLpdIrW1lYxe/Zs8eyzz1an8ULk/Fk/sE9HwvufSsP7Pe/35Rpp93ve66tzrxeC9/tq3u9r/V6vyEYSERERERERUQXURdV0IiIiIiIiolrBIE5ERERERERUQQziRERERERERBXEIE5ERERERERUQQziRERERERERBXEIE5ERERERERUQQziRERERERERBXEIE5ERERERERUQQziRERERERERBXEIE5ERERERERUQQziRERERERERBXEIE5ERERERERUQf8f9HI0M6W3bRQAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "# Define time variable\n", - "t = np.linspace(-2, 2, 400)\n", - "# Continuous signal (a combination of sine and cosine)\n", - "x = np.sin(2 * np.pi * t) + 0.5 * np.cos(4 * np.pi * t)\n", - "# Analog signal (a combination of two square waves)\n", - "analog = np.sign(np.sin(2 * np.pi * t)) + 0.5 * np.sign(np.cos(4 * np.pi * t))\n", - "\n", - "# Even and Odd Components for Continuous Signal\n", - "x_even = 0.5 * (x + x[::-1])\n", - "x_odd = 0.5 * (x - x[::-1])\n", - "\n", - "# Even and Odd Components for Analog Signal\n", - "analog_even = 0.5 * (analog + analog[::-1])\n", - "analog_odd = 0.5 * (analog - analog[::-1])\n", - "\n", - "# Create subplots\n", - "fig, axs = plt.subplots(2, 2, figsize=(12, 12))\n", - "\n", - "# Continuous signals\n", - "axs[0][0].plot(t, x, label='Original')\n", - "axs[0][0].plot(t, x_even, label='Even Component')\n", - "axs[0][0].plot(t, x_odd, label='Odd Component')\n", - "axs[0][0].set_title('Continuous Signals')\n", - "axs[0][0].legend()\n", - "\n", - "# Analog signals\n", - "axs[0][1].plot(t, analog, label='Original', drawstyle='steps-pre')\n", - "axs[0][1].plot(t, analog_even, label='Even Component', drawstyle='steps-pre')\n", - "axs[0][1].plot(t, analog_odd, label='Odd Component', drawstyle='steps-pre')\n", - "axs[0][1].set_title('Analog Signals')\n", - "axs[0][1].legend()\n", - "\n", - "# Summation of Even and Odd Components for Continuous Signal\n", - "x_sum = x_even + x_odd\n", - "\n", - "# Summation of Even and Odd Components for Analog Signal\n", - "analog_sum = analog_even + analog_odd\n", - "\n", - "# Continuous signals summation\n", - "axs[1][0].plot(t, x, label='Original')\n", - "axs[1][0].plot(t, x_sum, label='Sum of Even and Odd')\n", - "axs[1][0].set_title('Summation of Even and Odd Components (Continuous)')\n", - "axs[1][0].legend()\n", - "\n", - "# Analog signals summation\n", - "axs[1][1].plot(t, analog, label='Original', drawstyle='steps-pre')\n", - "axs[1][1].plot(t, analog_sum, label='Sum of Even and Odd', drawstyle='steps-pre')\n", - "axs[1][1].set_title('Summation of Even and Odd Components (Analog)')\n", - "axs[1][1].legend()\n", - "\n", - "plt.show()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This code generates four plots:\n", - "1. The original continuous signal with its even and odd components.\n", - "2. The original analog signal with its even and odd components.\n", - "3. The summation of the even and odd components of the continuous signal compared to the original signal.\n", - "4. The summation of the even and odd components of the analog signal compared to the original signal.\n", - "\n", - "By visualizing these plots, we can see how the even and odd components combine to recreate the original signal." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "torch-gpu", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.13" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_build/html/_sources/intro-dsp.ipynb b/_build/html/_sources/intro-dsp.ipynb deleted file mode 100644 index f2e37e6..0000000 --- a/_build/html/_sources/intro-dsp.ipynb +++ /dev/null @@ -1,188 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Introduction to Signal Processing\n", - "\n", - "Signal processing is a fundamental area of study within electrical engineering and applied mathematics that focuses on analyzing, modifying, and synthesizing signals. Signals, which convey information about various phenomena, can take many forms, including audio, video, temperature, and more. Signal processing techniques are used to extract valuable information from these signals, improve their quality, and convert them into a form suitable for further analysis or transmission.\n", - "\n", - "## Why is Signal Processing Useful?\n", - "\n", - "Signal processing is essential in a wide range of applications that are integral to modern life. Some of the key areas where signal processing is indispensable include:\n", - "\n", - "1. **Communication Systems**: Signal processing is the backbone of telecommunications, enabling the transmission and reception of data over various media, including fiber optics, wireless channels, and satellite links.\n", - "2. **Audio and Speech Processing**: Techniques such as noise reduction, echo cancellation, and speech recognition are rooted in signal processing, improving the clarity and intelligibility of audio signals.\n", - "3. **Image and Video Processing**: Signal processing enhances the quality of images and videos, supports compression standards like JPEG and MPEG, and enables computer vision applications.\n", - "4. **Medical Imaging**: In medical diagnostics, signal processing techniques are used in MRI, CT scans, and ultrasound imaging to obtain clear and precise images of the human body.\n", - "5. **Seismology**: Signal processing helps in analyzing seismic data to predict earthquakes and explore natural resources.\n", - "\n", - "Signal processing transforms raw data into meaningful information, making it an essential tool in science, engineering, and technology." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Examples\n", - "\n", - "Let's see some examples just to get you motivated. Don't worry about understnding what's happening for now :)" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Generate a sine wave\n", - "fs = 1000 # Sampling frequency\n", - "f = 5 # Frequency of the sine wave\n", - "x = np.arange(fs) # Time vector\n", - "y = np.sin(2 * np.pi * f * x / fs) # Sine wave\n", - "\n", - "# Plot the sine wave\n", - "plt.figure(figsize=(10, 4))\n", - "plt.plot(x, y)\n", - "plt.title('Sine Wave')\n", - "plt.xlabel('Sample Number')\n", - "plt.ylabel('Amplitude')\n", - "plt.grid(True)\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from scipy.signal import butter, lfilter\n", - "\n", - "# Generate a noisy sine wave\n", - "noise = np.random.normal(0, 0.5, fs)\n", - "noisy_signal = y + noise\n", - "\n", - "# Design a Butterworth low-pass filter\n", - "def butter_lowpass(cutoff, fs, order=5):\n", - " nyq = 0.5 * fs\n", - " normal_cutoff = cutoff / nyq\n", - " b, a = butter(order, normal_cutoff, btype='low', analog=False)\n", - " return b, a\n", - "\n", - "def lowpass_filter(data, cutoff, fs, order=5):\n", - " b, a = butter_lowpass(cutoff, fs, order=order)\n", - " y = lfilter(b, a, data)\n", - " return y\n", - "\n", - "cutoff = 10 # Desired cutoff frequency of the filter, Hz\n", - "filtered_signal = lowpass_filter(noisy_signal, cutoff, fs)\n", - "\n", - "# Plot the noisy and filtered signals\n", - "plt.figure(figsize=(12, 6))\n", - "\n", - "plt.subplot(2, 1, 1)\n", - "plt.plot(x, noisy_signal, label='Noisy Signal')\n", - "plt.title('Noisy Signal')\n", - "plt.xlabel('Sample Number')\n", - "plt.ylabel('Amplitude')\n", - "plt.grid(True)\n", - "\n", - "plt.subplot(2, 1, 2)\n", - "plt.plot(x, filtered_signal, label='Filtered Signal', color='r')\n", - "plt.title('Filtered Signal')\n", - "plt.xlabel('Sample Number')\n", - "plt.ylabel('Amplitude')\n", - "plt.grid(True)\n", - "\n", - "plt.tight_layout()\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from scipy.signal import spectrogram\n", - "\n", - "# Generate a chirp signal\n", - "from scipy.signal import chirp\n", - "\n", - "t = np.linspace(0, 1, fs)\n", - "chirp_signal = chirp(t, f0=6, f1=1, t1=1, method='linear')\n", - "\n", - "# Compute the spectrogram\n", - "frequencies, times, Sxx = spectrogram(chirp_signal, fs)\n", - "\n", - "# Plot the spectrogram\n", - "plt.figure(figsize=(10, 6))\n", - "plt.pcolormesh(times, frequencies, 10 * np.log10(Sxx))\n", - "plt.title('Spectrogram')\n", - "plt.xlabel('Time [s]')\n", - "plt.ylabel('Frequency [Hz]')\n", - "plt.colorbar(label='Intensity [dB]')\n", - "plt.show()\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "torch-gpu", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.13" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_build/html/_sources/intro.md b/_build/html/_sources/intro.md deleted file mode 100644 index 317bd14..0000000 --- a/_build/html/_sources/intro.md +++ /dev/null @@ -1,29 +0,0 @@ -# A Not-Too-Short, Not-Quite-Long Summary of *Signal Processing* - -**Author**: Igor L.R. Azevedo - *The University of Tokyo & University of Brasilia* - -**Email:** *igorlima1740@gmail.com* - -**GitHub:** [https://github.com/igor17400/dsp-174](https://github.com/igor17400/dsp-174) - ---- - -**WHAT TO EXPECT:** - -This work aims to provide a summary of signal processing that achieves a balance, as indicated by the title—not overly concise yet not as exhaustive as a comprehensive textbook. My intention was to explore essential content with more depth than a typical summary offers, yet not as extensively as a canonical textbook. At the same time, the idea is to combine several high-quality tutorials available online, which might be helpful in understanding and gaining a clear vision of signal processing. While this isn't just a collection of equations, it also isn't a book or paper that aims to make a significant contribution. Ultimately, my goal is to present a practical approach to signal processing that may be useful for those trying to better understand this subject. In any case, I hope this proves helpful to someone beyond myself. If you've read this far, thank you, and stay safe! - ---- - -**COLOR GUIDE:** - -This document uses four colors to convey specific types of information: - -- **Color 1** - Indicates super important information, memorize it! -- **Color 2** - Used exclusively for arrows, which signify important details, curiosities, or useful symbols and information. -- **Color 3** - Marks important information designed to catch your attention. -- **Color 4** - Reserved for citations, links, lines, and other objects. - - -## Table of Contents -```{tableofcontents} -``` diff --git a/_build/html/_sources/markdown-notebooks.md b/_build/html/_sources/markdown-notebooks.md deleted file mode 100644 index a057a32..0000000 --- a/_build/html/_sources/markdown-notebooks.md +++ /dev/null @@ -1,53 +0,0 @@ ---- -jupytext: - formats: md:myst - text_representation: - extension: .md - format_name: myst - format_version: 0.13 - jupytext_version: 1.11.5 -kernelspec: - display_name: Python 3 - language: python - name: python3 ---- - -# Notebooks with MyST Markdown - -Jupyter Book also lets you write text-based notebooks using MyST Markdown. -See [the Notebooks with MyST Markdown documentation](https://jupyterbook.org/file-types/myst-notebooks.html) for more detailed instructions. -This page shows off a notebook written in MyST Markdown. - -## An example cell - -With MyST Markdown, you can define code cells with a directive like so: - -```{code-cell} -print(2 + 2) -``` - -When your book is built, the contents of any `{code-cell}` blocks will be -executed with your default Jupyter kernel, and their outputs will be displayed -in-line with the rest of your content. - -```{seealso} -Jupyter Book uses [Jupytext](https://jupytext.readthedocs.io/en/latest/) to convert text-based files to notebooks, and can support [many other text-based notebook files](https://jupyterbook.org/file-types/jupytext.html). -``` - -## Create a notebook with MyST Markdown - -MyST Markdown notebooks are defined by two things: - -1. YAML metadata that is needed to understand if / how it should convert text files to notebooks (including information about the kernel needed). - See the YAML at the top of this page for example. -2. The presence of `{code-cell}` directives, which will be executed with your book. - -That's all that is needed to get started! - -## Quickly add YAML metadata for MyST Notebooks - -If you have a markdown file and you'd like to quickly add YAML metadata to it, so that Jupyter Book will treat it as a MyST Markdown Notebook, run the following command: - -``` -jupyter-book myst init path/to/markdownfile.md -``` diff --git a/_build/html/_sources/markdown.md b/_build/html/_sources/markdown.md deleted file mode 100644 index faeea60..0000000 --- a/_build/html/_sources/markdown.md +++ /dev/null @@ -1,55 +0,0 @@ -# Markdown Files - -Whether you write your book's content in Jupyter Notebooks (`.ipynb`) or -in regular markdown files (`.md`), you'll write in the same flavor of markdown -called **MyST Markdown**. -This is a simple file to help you get started and show off some syntax. - -## What is MyST? - -MyST stands for "Markedly Structured Text". It -is a slight variation on a flavor of markdown called "CommonMark" markdown, -with small syntax extensions to allow you to write **roles** and **directives** -in the Sphinx ecosystem. - -For more about MyST, see [the MyST Markdown Overview](https://jupyterbook.org/content/myst.html). - -## Sample Roles and Directives - -Roles and directives are two of the most powerful tools in Jupyter Book. They -are like functions, but written in a markup language. They both -serve a similar purpose, but **roles are written in one line**, whereas -**directives span many lines**. They both accept different kinds of inputs, -and what they do with those inputs depends on the specific role or directive -that is being called. - -Here is a "note" directive: - -```{note} -Here is a note -``` - -It will be rendered in a special box when you build your book. - -Here is an inline directive to refer to a document: {doc}`markdown-notebooks`. - - -## Citations - -You can also cite references that are stored in a `bibtex` file. For example, -the following syntax: `` {cite}`holdgraf_evidence_2014` `` will render like -this: {cite}`holdgraf_evidence_2014`. - -Moreover, you can insert a bibliography into your page with this syntax: -The `{bibliography}` directive must be used for all the `{cite}` roles to -render properly. -For example, if the references for your book are stored in `references.bib`, -then the bibliography is inserted with: - -```{bibliography} -``` - -## Learn more - -This is just a simple starter to get you started. -You can learn a lot more at [jupyterbook.org](https://jupyterbook.org). diff --git a/_build/html/_sources/notebooks.ipynb b/_build/html/_sources/notebooks.ipynb deleted file mode 100644 index fdb7176..0000000 --- a/_build/html/_sources/notebooks.ipynb +++ /dev/null @@ -1,122 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Content with notebooks\n", - "\n", - "You can also create content with Jupyter Notebooks. This means that you can include\n", - "code blocks and their outputs in your book.\n", - "\n", - "## Markdown + notebooks\n", - "\n", - "As it is markdown, you can embed images, HTML, etc into your posts!\n", - "\n", - "![](https://myst-parser.readthedocs.io/en/latest/_static/logo-wide.svg)\n", - "\n", - "You can also $add_{math}$ and\n", - "\n", - "$$\n", - "math^{blocks}\n", - "$$\n", - "\n", - "or\n", - "\n", - "$$\n", - "\\begin{aligned}\n", - "\\mbox{mean} la_{tex} \\\\ \\\\\n", - "math blocks\n", - "\\end{aligned}\n", - "$$\n", - "\n", - "But make sure you \\$Escape \\$your \\$dollar signs \\$you want to keep!\n", - "\n", - "## MyST markdown\n", - "\n", - "MyST markdown works in Jupyter Notebooks as well. For more information about MyST markdown, check\n", - "out [the MyST guide in Jupyter Book](https://jupyterbook.org/content/myst.html),\n", - "or see [the MyST markdown documentation](https://myst-parser.readthedocs.io/en/latest/).\n", - "\n", - "## Code blocks and outputs\n", - "\n", - "Jupyter Book will also embed your code blocks and output in your book.\n", - "For example, here's some sample Matplotlib code:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from matplotlib import rcParams, cycler\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "plt.ion()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Fixing random state for reproducibility\n", - "np.random.seed(19680801)\n", - "\n", - "N = 10\n", - "data = [np.logspace(0, 1, 100) + np.random.randn(100) + ii for ii in range(N)]\n", - "data = np.array(data).T\n", - "cmap = plt.cm.coolwarm\n", - "rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N)))\n", - "\n", - "\n", - "from matplotlib.lines import Line2D\n", - "custom_lines = [Line2D([0], [0], color=cmap(0.), lw=4),\n", - " Line2D([0], [0], color=cmap(.5), lw=4),\n", - " Line2D([0], [0], color=cmap(1.), lw=4)]\n", - "\n", - "fig, ax = plt.subplots(figsize=(10, 5))\n", - "lines = ax.plot(data)\n", - "ax.legend(custom_lines, ['Cold', 'Medium', 'Hot']);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There is a lot more that you can do with outputs (such as including interactive outputs)\n", - "with your book. For more information about this, see [the Jupyter Book documentation](https://jupyterbook.org)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.0" - }, - "widgets": { - "application/vnd.jupyter.widget-state+json": { - "state": {}, - "version_major": 2, - "version_minor": 0 - } - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/_build/html/_sources/signals.md b/_build/html/_sources/signals.md deleted file mode 100644 index 9a6f088..0000000 --- a/_build/html/_sources/signals.md +++ /dev/null @@ -1,239 +0,0 @@ - - -# Signals - -An analog signal $ s $ is a finite real-valued function $ s(t) $ of a continuous variable $ t $ (called time), defined for all times on the interval $ -\infty < t < +\infty $. - -A digital signal $ s $ is a **bounded** discrete-valued sequence $ S_n $ with a single index $ n $ (called discrete time), defined for all time $ n = -\infty, \cdots, +\infty $. Bounded discrete values are exactly the kind of numbers represented by computer words with some finite number of bits. - -Finiteness is a physical requirement and comes in three varieties: finite signal value, finite energy, and finite bandwidth. - -## Definitions - -### Continous Time Signals - -````{prf:definition} -:label: energy - -The energy of a signal $ s $ is defined as: - -$$ -E_s = \int_{-\infty}^{\infty} |s(t)|^2 \, dt -$$ -```` - -````{prf:definition} -:label: power - -The power of a signal $ s $ is defined as: - -$$ -P_s = \lim_{T \to \infty} \frac{1}{2T} \int_{-T}^{T} |s(t)|^2 \, dt -$$ -```` - -````{prf:definition} -:label: rms - -The Root Mean Square (RMS) of a signal $ s $ is defined as: - -$$ -RMS_s = \sqrt{\frac{1}{T} \int_{0}^{T} |s(t)|^2 \, dt} -$$ -```` - -### Discrete Signals - -For discrete signals, the definitions are adjusted to sums instead of integrals. - -````{prf:definition} -:label: discrete-energy - -The energy of a discrete signal $ S $ is defined as: - -$$ -E_S = \sum_{n=-\infty}^{\infty} |S_n|^2 -$$ -```` - -````{prf:definition} -:label: discrete-power - -The power of a discrete signal $ S $ is defined as: - -$$ -P_S = \lim_{N \to \infty} \frac{1}{2N+1} \sum_{n=-N}^{N} |S_n|^2 -$$ -```` - -````{prf:definition} -:label: discrete-rms - -The Root Mean Square (RMS) of a discrete signal $ S $ is defined as: - -$$ -RMS_S = \sqrt{\frac{1}{N} \sum_{n=0}^{N-1} |S_n|^2} -$$ -```` - -### Bandwidth - -The definition of bandwidth will be better discussed later. However, its understanding can be introduced now. It's a measure of speed, not size. A signal that fluctuates rapidly has a higher bandwidth than one that only varies slowly. Requiring finite bandwidth imposes a smoothness constraint, disallowing sudden jump discontinuities and sharp corners. - -### Characteristics of Signals - -Signals are characterized as being deterministic or stochastic. If deterministic, they can be periodic or non-periodic. If stochastic, they can be stationary or non-stationary. Additionally, signals can be finite or infinite in time duration, and they can have finite bandwidth or a full spectrum. - -### The Vector Space of All Possible Signals - -Can all possible signals be described in terms of some set of basic signals? - -To use signals as bases for a vector space, they must obey the basic axioms of vector spaces. These include: - -1. **Addition**: Signal addition $ s = s_1 + s_2 $ according to $ s(t) = x(t) + y(t) $ and $ S_n = X_n + Y_n $. -2. **Zero Vector**: The constant signal $ S_n = 0 $ for all times $ n $. -3. **Inverse**: The inversion $ -s $ according to $ s(t) = -x(t) $ for all $ t $ and $ S_n = -X_n $ for all $ n $. -4. **Scalar Multiplication**: Multiplication by a real number $ a $ as $ s(t) = a x(t) $ for all $ t $ and $ S_n = a X_n $ for all $ n $. -5. **Inner Product**: The dot product as shown below: - -$$ -\langle s_1, s_2 \rangle = \int_{-\infty}^{\infty} s_1(t) s_2(t) \, dt -$$ - -For discrete signals: - -$$ -\langle S_1, S_2 \rangle = \sum_{n=-\infty}^{\infty} S_1(n) S_2(n) -$$ - -6. **Norm**: The energy as defined below: - -````{prf:definition} -:label: norm-energy - -The norm (or energy) of a signal $ s $ is: - -$$ -\|s\| = \sqrt{ \int_{-\infty}^{\infty} |s(t)|^2 \, dt } -$$ -```` - -For discrete signals: - -````{prf:definition} -:label: discrete-norm-energy - -The norm (or energy) of a discrete signal $ S $ is: - -$$ -\|S\| = \sqrt{ \sum_{n=-\infty}^{\infty} |S_n|^2 } -$$ -```` - -7. **Metric**: The energy of the difference signal obeys all the requirements: - -````{prf:definition} -:label: metric-energy - -The metric (or distance) between two signals $ s_1 $ and $ s_2 $ is: - -$$ -d(s_1, s_2) = \|s_1 - s_2\| -$$ -```` - -For discrete signals: - -````{prf:definition} -:label: discrete-metric-energy - -The metric (or distance) between two discrete signals $ S_1 $ and $ S_2 $ is: - -$$ -d(S_1, S_2) = \|S_1 - S_2\| -$$ -```` ---- - -## *Examples* - -### Analog Signal Example - -Consider an analog signal $ s(t) = A \sin(2 \pi f t) $ where $ A $ is the amplitude and $ f $ is the frequency. The energy of this signal is given by: - -$$ -E_s = \int_{-\infty}^{\infty} |A \sin(2 \pi f t)|^2 \, dt = \infty \quad (\text{for periodic signals}) -$$ - -The power of the signal is: - -$$ -P_s = \lim_{T \to \infty} \frac{1}{2T} \int_{-T}^{T} |A \sin(2 \pi f t)|^2 \, dt = \frac{A^2}{2} -$$ - -### Digital Signal Example - -Consider a digital signal $ S_n = A \sin(2 \pi f n) $ where $ A $ is the amplitude and $ f $ is the frequency. The energy of this signal is: - -$$ -E_S = \sum_{n=-\infty}^{\infty} |A \sin(2 \pi f n)|^2 = \infty \quad (\text{for periodic signals}) -$$ - -The power of the signal is: - -$$ -P_S = \lim_{N \to \infty} \frac{1}{2N+1} \sum_{n=-N}^{N} |A \sin(2 \pi f n)|^2 = \frac{A^2}{2} -$$ - - -## Vector Space of Signals - -Since signals form a vector space, the theorems of linear algebra guarantee that there is a basis $ \{ \phi_k \} $, i.e., a set of signals in terms of which any signal $ s $ can be expanded: - -$$ -s = \sum_k c_k \phi_k -$$ - -From linear algebra, we know that every vector has a basis, but in general, this basis is not unique. Similarly, for the vector space of signals, there is a lot of flexibility in the choice of basis. The most common choices are based on signals we have already met, namely shifted unit impulses (SUIs) and sinusoids. - -### Shifted Unit Impulses (SUI) - -Shifted Unit Impulses $ S_n $ are defined as: - -$$ -S_n = \delta_{nm} -$$ - -where $ \delta_{nm} $ equals one when $ n = m $, and zero for all other times. - -### Sinusoids - -Sinusoids are another common basis for signals. When we represent a signal by expanding it in the basis of SUIs, we say that the signal is in the time domain. When we use the basis of sinusoids, we say that the signal is in the frequency domain. - -### Expansion of Digital Signals - -We can expand any digital signal in terms of SUIs as follows: - -$$ -S_n = \sum_{m=-\infty}^{\infty} S_m \delta_{nm} -$$ - -This proves that these signals span the entire space. No two SUIs overlap; they are orthogonal and linearly independent (no $ S_{nm} $ can be expanded in terms of others), and so they form a valid basis. - -## Most Common Signals - -| Signal Name | Continuous Format | Digital Format | -|-----------------------|--------------------------------------|------------------------------------| -| Unit Constant | $ s(t) = A $ | $ S_n = A $ | -| Unit Step | $ s(t) = u(t) $ | $ S_n = u[n] $ | -| Unit Impulse | $ s(t) = \delta(t) $ | $ S_n = \delta[n] $ | -| Square Wave | $ s(t) = A \cdot \text{sgn}(\sin(\omega t)) $ | $ S_n = A \cdot \text{sgn}(\sin(\omega n)) $ | -| Sinusoid | $ s(t) = A \cdot \sin(\omega t + \phi) $ | $ S_n = A \cdot \sin(\omega n + \phi) $| -| Damped Sinusoid | $ s(t) = A e^{-\alpha t} \sin(\omega t) $ | $ S_n = A e^{-\alpha n} \sin(\omega n) $ | -| Real Exponential | $ s(t) = A e^{\alpha t} $ | $ S_n = A e^{\alpha n} $ | -| Complex Sinusoid | $ s(t) = A e^{j(\omega t + \phi)} $ | $ S_n = A e^{j(\omega n + \phi)} $ | -| Damped Complex Sinusoid| $ s(t) = A e^{-\alpha t} e^{j(\omega t + \phi)} $ | $ S_n = A e^{-\alpha n} e^{j(\omega n + \phi)} $ | diff --git a/_build/html/_sources/transformations-signals.ipynb b/_build/html/_sources/transformations-signals.ipynb deleted file mode 100644 index 2e82134..0000000 --- a/_build/html/_sources/transformations-signals.ipynb +++ /dev/null @@ -1,294 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Transformation of signals" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Time Reversal\n", - "\n", - "### Mathematical Equation\n", - "$$ y(t) = x(-t) $$\n", - "\n", - "### Explanation\n", - "Time reversal flips the signal around the vertical axis. This means that the signal which occurs at $ t = a $ in the original signal will now occur at $ t = -a $." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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//XVMmDABTz/9NOLxuG77z2WzcDiMww8/HB9//DFuuOEG/OMf/8Arr7yi1Zz3Z7MhQ4bgo48+wt///neceOKJeO2113DsscfivPPO0239hAwUCnVCVI4//nisXbsWK1asyLntqFGjkEwmsXr16oz7GxoaEA6HtUYrhZCv6C+UqqqqPtPQekbIR40ahdWrV/c6oYmUMfGehCe75z6zRdzHjRuHq6++Gi+//DI+++wzRKNR3HHHHQN5K9h///0BAFu3bu3z8SFDhiAQCPTqfA+gz/vy5dlnn8V5552HO+64A6effjq+/e1v41vf+la/6X3p7L333vjlL3+J119/Hf/973+xefNmPPjggwNeDyGEEOtZsmQJhgwZgmeeeabXz9lnn42//vWv6OrqKmifzc3NWLZsGX7+85/j+uuvxymnnIJvf/vbGDt2bM7nivP0V199lXF/NBrFunXrtMfF757nxXg8ntc0k2x4vV5MmTIFsVgMO3bs6HeNPV+7sbFxwFmGy5cvR2NjIxYvXowrr7wSxx9/PGbMmJFXGj+gZByccMIJuP/++7F27VpcfPHF+NOf/lTUdQMhekChTojKT3/6U5SUlOCCCy5AQ0NDr8fXrl2rjev4zne+AwC48847M7b57W9/CwA47rjjCn79kpISAL0FcLGMGzcO//vf/xCNRrX7XnjhBWzatClju+985zuor6/P6KIaj8dxzz33oLS0FIcffjgA5STrdrvx+uuvZzz//vvvz/i7s7OzVwfXcePGoaysrNcIu570lS4IpHoD9EzrE7jdbsyYMQPPP/88tmzZot2/Zs2aoqLwbre7V/bDPffckzMrobW1tVdUYe+994bL5cppA0IIIfalq6sLzz33HI4//nicfvrpvX7mzZuHtrY2/P3vfy9ovyJ63POc0/N6oy9mzJgBn8+Hu+++O+P5Dz/8MFpaWrRrk/333x81NTV46KGHMs5RS5YsyUssr169Ghs3bux1fzgcxooVK1BVVZV10srRRx8Nj8eDBx54IOP+e++9N+frZqMvm0Wj0V7XJX3Rc+Sdy+XClClTAIDnaWI5HM9GiMq4cePw+OOPY/bs2Zg0aRLOPfdc7LXXXohGo3jrrbe0UWUAMHXqVJx33nn4wx/+oKVcvfPOO3jsscdw8skna01lCmHatGlwu9249dZb0dLSAr/fj6OOOqrX3PBCueCCC/Dss89i1qxZOPPMM7F27Vr85S9/yWigBijNWn7/+99jzpw5eP/99zF69Gg8++yzePPNN3HnnXdqjfYqKipwxhln4J577oEkSRg3bhxeeOGFXnXjq1atwtFHH40zzzwTkydPhsfjwV//+lc0NDTgrLPO6nfNJ510EsaMGYMTTjgB48aNQ0dHB/7973/jH//4Bw444ACccMIJWZ+7aNEivPzyyzj00ENxySWXIJFI4N5778Vee+2Fjz76aEA2PP744/HnP/8ZFRUVmDx5MlasWIF///vfGbNi++LVV1/FvHnzcMYZZ2D33XdHPB7Hn//8Z7jdbpx22mkDWgshhBDr+fvf/462tjaceOKJfT5+0EEHYfDgwViyZAlmz56d937Ly8u1ni6xWAzDhw/Hyy+/jHXr1uV87uDBg7FgwQJcf/31mDVrFk488UR89dVXuP/++3HAAQdoNds+nw+LFi3C5ZdfjqOOOgpnnnkm1q9fj8WLF2PcuHE5M/w+/vhjfPe738Wxxx6Lww47DNXV1di8eTMee+wxbNmyBXfeeWfWdPXa2lpceeWVuOOOO3DiiSdi1qxZ+Pjjj/Hiiy9i0KBBA8ouPOSQQ1BVVYXzzjsPV1xxBSRJwp///Oe8ygsvuOACNDU14aijjsKIESOwYcMG3HPPPZg2bVrOEbmEGI5V7eYJsSurVq2SL7zwQnn06NGyz+eTy8rK5EMPPVS+5557MkZ8xGIx+frrr5fHjBkje71eeeTIkfKCBQsytpFlZTzacccd1+t1eo5Hk2VZfuihh+SxY8fKbrc7Y8xXtvFsPcd+9RyRJrjjjjvk4cOHy36/Xz700EPl9957r8/Xb2hokOfOnSsPGjRI9vl88t57791rX7Isy9u3b5dPO+00ORQKyVVVVfLFF18sf/bZZxmvvWPHDvmyyy6T99hjD7mkpESuqKiQp0+fLj/99NO9jd6DJ554Qj7rrLPkcePGycFgUA4EAvLkyZPlX/ziF9qYOAF6jGeTZVletmyZvM8++8g+n08eN26c/Mc//lG++uqr5UAg0Ou5l112Wa/X7znSrrm5WbNLaWmpPHPmTPnLL7/stV3P8Wxff/21/IMf/EAeN26cHAgE5OrqavnII4+U//3vf+e0ASGEEPtywgknyIFAQO7o6Mi6zZw5c2Sv1yvv2LFDOz/3NbK053nsm2++kU855RS5srJSrqiokM844wx5y5YtvbbrOfpMcO+998p77LGH7PV65draWvmSSy6Rm5ube73u3XffLY8aNUr2+/3ygQceKL/55pvyfvvtJ8+aNavf997Q0CDfcsst8uGHHy4PHTpU9ng8clVVlXzUUUfJzz77bMa2fa0xHo/L1157rVxXVycHg0H5qKOOkleuXCnX1NTIP/zhD3s99913383YZ19jYt988035oIMOkoPBoDxs2DD5pz/9qfzSSy/12q7neLZnn31WPuaYY+QhQ4bIPp9P3m233eSLL75Y3rp1a782IMQMJFkuspsVIYQ4gJNPPhmff/55r74ChBBCCFGarg0ePBinnnoqHnroIVNfOxwOo6qqCr/61a/wi1/8wtTXJsSusEadELLT0bN5z+rVq/Gvf/0LRxxxhDULIoQQQmxEd3d3r9TwP/3pT2hqajL8XNlXgz1Rg8/zNCEpGFEnhOx0DB06FHPmzNHmxj7wwAOIRCL48MMPMWHCBKuXRwghhFjK8uXL8aMf/QhnnHEGampq8MEHH+Dhhx/GpEmT8P7778Pn8xn22osXL8bixYvxne98B6WlpXjjjTfwxBNP4JhjjsFLL71k2OsS4jTYTI4QstMxa9YsPPHEE6ivr4ff78fBBx+MX//61xTphBBCCIDRo0dj5MiRuPvuu9HU1ITq6mqce+65uOWWWwwV6QAwZcoUeDwe3HbbbWhtbdUazP3qV78y9HUJcRqMqBNCCCGEEEIIITaCNeqEEEIIIYQQQoiNoFAnhBBCCCGEEEJsxC5Zo55MJrFlyxaUlZVBkiSrl0MIIYRAlmW0tbVh2LBhcLnoRy8WnusJIYTYjULO9bukUN+yZQtGjhxp9TIIIYSQXmzatAkjRoywehmOh+d6QgghdiWfc/0uKdTLysoAKAYqLy+3eDWEEEII0NraipEjR2rnKFIcPNcTQgixG4Wc63dJoS5S4MrLy3nyJoQQYiuYpq0PPNcTQgixK/mc61kERwghhBBCCCGE2AgKdUIIIYQQQgghxEZQqBNCCCGEEEIIITaCQp0QQgghhBBCCLERFOqEEEIIIYQQQoiNoFAnhBBCCCGEEEJsBIU6IYQQQgghhBBiIyjUCSGEEEIIIYQQG0GhTgghhBBCCCGE2AgKdUIIIYQQQgghxEZQqBNCCCGEEEIIITaCQp0QQgghhBBCCLERFOqEEEIIIYQQQoiNoFAnhBBCCCGEEEJshKFC/fXXX8cJJ5yAYcOGQZIkPP/88zmfs3z5cuy7777w+/0YP348Fi9e3Gub++67D6NHj0YgEMD06dPxzjvv6L94QgghhOSE53pCCCFEfwwV6h0dHZg6dSruu+++vLZft24djjvuOBx55JH46KOPcNVVV+GCCy7ASy+9pG3z1FNPYf78+bjuuuvwwQcfYOrUqZg5cya2bdtm1NsghBBCSBZ4rieEEEL0R5JlWTblhSQJf/3rX3HyySdn3eZnP/sZ/vnPf+Kzzz7T7jvrrLMQDoexdOlSAMD06dNxwAEH4N577wUAJJNJjBw5Epdffjl+/vOf57WW1tZWVFRUoKWlBeXl5QN/U4QQQohO7Aznpp31XC/LMrpiiaL2YSmyjCAikCTJ6pUMCFmW0QU/4ND10/4W43D7A/wf2AZvqOj/QSHnJk9Rr6QzK1aswIwZMzLumzlzJq666ioAQDQaxfvvv48FCxZoj7tcLsyYMQMrVqzIut9IJIJIJKL93draqu/CDaK1O4aH/7sOqxra8J29h+L4KUOddYBH2oD/PQDUfwpMOgHY+wxHfcF0xxL4w+tf46v6Nhw+cTDO2G+Es+yfiAFv3qXYf8z/Afv/wFH2TyRlPPLGOny0KYx9R1Vh7iGj4XI5Z/1IJoB3HwY2vAEM3x846FLAbauv3H5JJGU89e4m/Hf1dkwbWYnzDhmNgNdt9bLyJ5kEPn4cWLUUGLYvMP2HgC9k9aoInHmu74olMHnhS7k3tCUynvVdj/1dq6xeyICRAHye3B1nRK9T/3IStL+1ON/+AP8HtuGaLYCvxLSXs9VVY319PWprazPuq62tRWtrK7q6utDc3IxEItHnNl9++WXW/d588824/vrrDVmzUUTiCZz3yDv4cGMYAPDiZ/X4prkLlxwxztqF5Us8Cjz5XWDd68rfK/8O7FgFHPVLa9eVJ7FEEhf/+X38Z9V2AMA/P92KL7e2YeEJky1eWZ4kk8BT3wdWvaj8/cXzimA/4U4rV5U3sixj3uMf4MXP6gEo9v9iSyt+c8YU5zhLnr8E+OQp5fYXfwO2fgyc+hDgckYPz2v/9hkef3sjAOX756NNYdz73X3hdoqz5JVrgRVKNBYr/wFseAv47lOAy0HOhp0UnuvNJYjITnGBfIBrFYKIoAsBq5dSELS/tews9gf4P9gVsZVQN4oFCxZg/vz52t+tra0YOXKkhSvKzT3L1uDDjWGU+T2YPrYG/17ZgN+8/BUOmzAIew2vsHp5uVlxjyLSvSXAhBmKUPnvHcCEmcDIA6xeXU4ef3sj/rNqOwJeF46eVIt/frIVj7y5DrP2qsOBY6qtXl5uPn5CEemeALD7LMVR8v6jwJ4nA2OPsHp1OXnhk6148bN6+DwufHtSLV76vB7/74NvcNyUOhy1R23uHVjNyhcUkS65gcknKfb/7Flgj+8Ae51m9epy8tpX2/D42xshScBxew/Fy5834MXP6vHMe5tw1oG7Wb283Hz9n5RIn3wSsOolYM0rwNu/Bw6+1Nq1EcMw8lwf9LrxxQ0zddmX2XS2twJ3q7ev/BKhEmeVVXR2tCJ01x4AgP/+9EiESh22ftrfUpxuf4D/A1vhNTczz1ZCva6uDg0NDRn3NTQ0oLy8HMFgEG63G263u89t6urqsu7X7/fD7/cbsmYjaOmKYfFb6wEAt54+BcfuVYdLlyjRxQeWr8V95+xr7QJz0d0KvHWPcvu4O4BpZwPPXaQIl//cCnzvWWvXl4POaBz3vLoaAPCL4ybj+weNQqnvEzz13ibc/tKXeOaHh1i8whzEI8CrNyq3j/wFcOgVwL9+ArzzB+Dla4GLX7d1CnwiKeOWF5Wo2WVHjMeVMybg5hdX4vf/+Rq//teXOGL3IfZOgZdlYNkNyu1DrwBmLAL+cxvw2k3Aq78CJp1k6xR4WZbxu1cUz/fcQ8Zg4QmT8dDrX+Omf63EPa+uwan7joDPY/OsgNdvV37vN1fJInn3j8A/r1ZKQQ44H/A453ywM+LEc70kSQj57Pu57RdfWhaJN2Rq2qYuROPazZDP7bz/A+1vLU63P8D/wS6Mra62Dj74YCxbtizjvldeeQUHH3wwAMDn82G//fbL2CaZTGLZsmXaNjsDT7yzEe2ROPaoK8OsPesgSRKunDEBAPDiZ1uxsbHT4hXm4OMngK5moGY8MOVM5b7DfwZAUqJaO9ZYurxc/POTrdjRHsXI6iDOOkCJxvzo27vD7ZLw7vpmfFlv8x4HX/0LaNsKlA0Fpl+s3HfEAsDtB+o/AbZ8YO36cvD6qu3YHO5CZciLiw8fCwC47MjxKPV7sGZbO95e12TxCnOw/r/Ajq8AXynwLTW6d9ClQKgGaPoaWLus/+dbzAcbw/jkmxb4PC5cdqRSavP9g0dhcJkfm8NdWPp5vcUrzMGWD5X/gcsD/N+Plfv2ORcoHw601wOfPG3t+gjP9YQQQkgeGCrU29vb8dFHH+Gjjz4CoIxk+eijj7Bxo1L3uGDBApx77rna9j/84Q/x9ddf46c//Sm+/PJL3H///Xj66afxox/9SNtm/vz5eOihh/DYY49h5cqVuOSSS9DR0YG5c+ca+VZM5fkPNwMA5qQ1z9qjrhzfGj8ISRn4+8ebrVxebj59Rvl9wAWpetCaccDuatrgh3+2Zl158twHin1n7z8SXrfyEamrCOCYyUrK9ZPvbLJsbXnx4RLl97TvpiKHoWolBRgA3l9sybLy5Yl3lO+H0/YdoTUvKw94ccLUoQCAZ963uf2FfaecCQTU9C5/KbC36rT6+AlLlpUvT7+r2PekqcNQU6ocPwGvG7P3V5xWf//I5t8/H6t9ASafDFSMUG57fEokHQA+pVDXG57rCSGEEP0xVKi/99572GeffbDPPvsAUE68++yzDxYuXAgA2Lp1q3YiB4AxY8bgn//8J1555RVMnToVd9xxB/74xz9i5sxUXdjs2bPxm9/8BgsXLsS0adPw0UcfYenSpb2azjiVNdva8GV9GzwuCbP2ykzxO3HqMADAvz61cUSraR3wzbuA5AL2PCXzMRFd//IFJT3Yhmxt6cL/1jUCAE7eZ3jGY2fsr1z0v/R5PUyaalg4nU2piO20czIf2+d7yu+VLygdyW1IRySO5V8pDfzO3D+ztvT0/ZS/l35Wj0jcnutHPAKselm53dP+U89Sfn/5L6U8xIbEE0m8slJJNz6lx/F/0jTl+2f5V9vR3BE1fW15kUwq/QAAYO/TMx/b81Tl9/o3gHbO4tYTnusJIYQQ/TG0yOGII47oV9AsXry4z+d8+OGH/e533rx5mDdvXrHLsyUvqiL8sAmDUBnyZTz27cm1cP9VwhdbW7GhsQOjamxY4/HVv5Tfo78FlPWoJRz/bcDtAxrXANu/AobsYf76crD8q+2QZWCf3SoxoiqzYcQh4wYh6HVja0s3Pt/Sas+mfmuWAXISqN1LyWJIZ9ShQKAC6GpSnCm7HWTNGvvhjTU7EE0kMaomhN1rSzMe23e3Sgwp82NbWwTvrGvCYRMGW7TKflj/XyDaBpTWKSPB0hk6Fageq6S/r3sdmHS8NWvsh/c2NKOpI4rKkLdX08QJtWXYo64MX9a3YfmqbThlnxEWrbIfNr8PtG5Wyg7GHpn5WPUY5X+y5QPFWbj/D6xZ404Iz/WEEEKI/tiqRp0A/12zAwBw9KTeUYOqEh8OHK1cPL+ujg2zHWtfU35POKb3Y4HyVMfxVUtNW1Ih/EeN5h6x+5BejwW8bvzf7oMAAK980dDrcVuwWo3mTvh278fcHsVZAtjW/q+uVCKdR+0xpNcYNkmScORE5f/y2pc2Pf6/Uu06cVbvMWySBIxXZ0ev+be568qTV79M2d/j7n16OEK1/39X7zB1XXkj7Dp+BuDtY3zNxO8ov8X3FCGEEEKITaFQtxGd0Tg+3NgMAPjW+EF9bnPo+BoAwFtrG01bV97EI0paKdA7miUYd5TyW2xnI2KJJN5UHSVCkPdECMUVdrR/MplKex/fh1AHlFFtgBJ5txmyLOP11YoAF3buyRETlSj68lU2TV1e9x/ld1+OKgAYd7Tye+0yW5Z//O9r5bg+fPe+sxUOm6B8Lt5YvcOe5R/rXld+ZxtBOPZw5ff6/9q2/IMQQgghBKBQtxXvrGtCLCFjeGUQo2r6ntN38DjlQnnF141IJm12obzpHSDeBZQMAWr37Hub0d9Sfm9cASTifW9jEZ9vaUVbJI6KoBdTRlT2uc30sYqj5KNNYXTHbHahv+MroLNRGX0x8sC+txH2b/jMdnXS3zR3YWtLNzwuCQeM7ntW/SHjB0GSgK+3d2B7W8TkFeagfTuwQxlrht2ydKYe/S3A5QXCG4Hm9aYtLR9au2P4bHMLAGD6mJo+t9lvVBX8Hhe2tUWwelu7mcvLTbRTKekAgDH/1/c2w/YFfGXKVIr6T8xbGyGEEEJIgVCo24h31LFTB4+r6ZX2K5gyogIlPjfCnTGstNuYsE3/U36P/lb2Od1D9gQClUC0Hdj6sWlLy4f3NyjZDPuPqoI7y5zu0TUhDC7zI5pI4qNNYRNXlwcbVfsP3w9we/vepnwoUDVaqWP/5h3TlpYP765Xjv+9hlcgmD5zM42KoBe7DykDkPp/2YYNbyq/h+ypdNnvC3+pUqsOpESlTXhvfROSMjBmUAnqKvpIG4dS/rHfqCp1e5vZf9P/gGQMKB+h9ALoC7cHGH2ocnv9m+atjRBCCCGkQCjUbcSHG8MAFKGYDa/bhX3Vx8X2tmGTKjyyRXMBpW53lHqhvPEt49dUAB+owm/ffuwvSRKmq0223rHbPG8h1HM1idvtEOX3hhXGrqdAhFDv2cSsJ/uNFkLRZvbfoB7PQghmY+R05femt41dT4G8s045/g/Mks0g2Hc3xf4fbLSZUP/mPeX3bgdldxQCqe+nze8ZvyZCCCGEkAFCoW4TEkkZn3wTBgBM262y322nqmnZH9spoivLqQjhiH6EOgCM2E/5vfkDY9dUALIs470NivDbrx+hnv64rewPpDIaRuYS6urjNhOKIkKey/7CkfWe3SLqm99Xfgshng0hFDfay/7i+2efHN8/+45SHredUBf2H7F//9sNVx//hkKdEEIIIfaFQt0mrN7Who5oAiU+Nyaoqb3ZmDayEgDwsXphbQuavlbGfnkCQN3e/W8rxlaJC2sbsLWlGw2tEXhckuYIyYaoX/9kc4t9Gmp1NqVqnnMKFdX+Wz9WGtDZgM5oHGvUmmdxfGdDRHS/2NKKWMIe60ciBtR/qtwetk//2wohv+1zIGKPOu9kUsan3yj16dn6Mwj2GanY/+vtHQh32mSeuiynvk+G53P8S0DLJqCt3vClEUIIIYQMBAp1m/CRmsY+ZURl1vpowVRVyKze1o72iE0asm1R5+HWTQE8vv63FUImvAHosEf3dNFEa/yQ0qz10YLJQ8vhdknY3hZBQ6tNGpqJev+qMUCwsv9tB+8BuP1ApBVoXmf40vLhiy2tSMrA4DI/asv7ro8WjKoJoSzgQTSRxOoGewhdbFsJJCKAvyJ7fbSgfKgyZ11OAg2fm7O+HHy9owNtkTgCXlev+fU9qSrxYbTa7PKzzTbpk9GyCejYrjTqy+Uo9JcBQyYrtxlVJ4QQQohNoVC3CZ9vUS54p4yoyLnt4DI/hlcGIcspgWk5ooPy0Cm5tw1WAjXjldtC4FuMsP+ew3LbP+hzY8IQRcx8YpesBiHURaOy/nB7gbq9lNs2sf+n6nG89/Dc9pckCXsOKwcAfLbFJse/sOOwaf3XRwvE58QmncfFcbzXsIo+56f3RHxOPreL/UUZTe2efc9P78mwacpvkQVBCCGEEGIzKNRtwsqtilCcNLQ8r+3Fdl9utUlEa6sqOHJFswRDpym/bSJUUkI9P/sLh8qndnGUFCLUgZT9t35kxGoKRthxrzyEOqAISgD43Db2/0j5LQRgLupUoW6TyQdfqMd/vvafrH5OvrDL94/ITMj3+6dWdVQ1fGbMegghhBBCioRC3QYkk/IAhLpSx/5lfZth68obWU5FpuryiKgDQK2aemqT1N8v1MhgvkJdc5TYwf5AWkZDnkJdCMqt9nCUrNyq2HGvPO0vBOVnW+wmFPM8/m0WURfH8R51/ffHEExWj/8v7GZ/IcBzITJKbGJ/QgghhJCeUKjbgE3NneiIJuDzuDB2cElezxFCcaUdIlpt9UDnDkByA0Mm5fcccUG97Qvj1pUn4c4otrR0AwAm5SkUJ6qC5is7CPVYt9LMD8hfqAzZU/m9/Utj1lQA8UQSa9VGcoVmlHxV32Z9Qz9ZVmrUgVTtcy6EoN+2UmlEZzGaUM/T/sKhtXZ7O7pjCcPWlTcNwlGY5/EvPifhjUC3TbIyCCGEEELSoFC3AUJs715bCm8e9aFAKvL1VUMbEkmLhco2NZpVMx7wBvN7jhA0O1YBcWs7R6/drojEYRUBlAe8eT1nYq1i/41NneiwuqFf4xqlMVmgAigdkt9zBk9Ufrc3WN7Qb31jJ6KJJEI+N4ZX5nf8jBlUAo9LQnskrjlZLKNlk9KYz+VN9V7IReUowFsCJKJAk7UN/Xa0R7CjPQJJQs5GcoLBZX7UlPiQlIFVDRY7q7pbFMEN5O8oCVUD5SOU2zbJ6iGEEEIISYdC3QaIztW71+aXdgoAo2pKEPC60B1LYn1jh1FLy48da5Tfg3fP/zkVI5QO2cm4ItYtZO02xX7jhuQnUgCgptSPQaV+ADYQKju+Un4PmphfIzMA8JcqYhEAtq80Zl15Iuw3obYMrhwTDwQ+jwtjBpVkPN8yGtSskEETck88ELhcKWeJxfYXWSGjqkMI+Tx5PUeSJIxXPy9irJ5liGyG8uGKAM8XUX6zzVr7E0IIIYT0BYW6Dfh6hyoUB+cvFN0uG10oC6E9qAChLklpF8rWpr+LiHoh9gfSshqsTn/fsVr5XYijBEhFHy0WKsJ+E/OM5gp2V+2/2mqhLjJK8o3mCgbvofze/pW+6ykQYf9CHIUAMEH9f622+vtHlG8Ie+aL+L6y2P6EEEIIIX1BoW4DvlaF4thB+dWnC8arwlIITcsQQr1mQmHPExfKQmhaREqoF2Z/IVQsd5QIoVGIowRI9ROw2FEiIuKFCsXdhwhHidX2V4//IQUKRbG9xY4ScfxPKNBRMmGIcJRY/f0jHFUTC3ueEPY7KNQJIYQQYj8o1C1GlmUtoj62wIiuiABbLhQb1dT3QQMV6hanvm8vPKMBSDlWrC89EBkNhQoVdXuLHSXi+J1QqFDXIroWR9Sb1iq/861PF9gkoj7QjJIJWkaPxfbXHFUFfv9opQfWfv8QQgghhPQFhbrF7GiPoq07DkkCRtWECnquSH0XQtMSuluBtq3K7YKFihCK1l0oR+IJbGzqBFBYjToAjFaF+rodFto/mUg5SgpNfa8ep/wWHeMtIJGUsaFRsX+hGSXCsbVuR4e1nd8bVaEu7Jkv4vhvXK38Hy1ijdqjYXyBx/941VGysanT2s7vA3VUCUdh2xble4wQQgghxEZQqFuMSHsfURVEwOsu6LmaUN/Wbp1QESKxZAgQrCzsuSIC1rjGMqGysbETiaSMUr8HQ8r8BT13dI0iLDc2dSKeSBqxvNyENwLxbsDtTzWHy5caVVi2bgainfqvLQ++aVY6vvs9rrw7vgt2q1YcW23dcYQ7LRpx1tkEdDUpt6vHFvbcipFKp/hEVPkfWEBLZww72iMACs/oGVzqR1nAg6RsYVZJrCvV8b3Q1PdgJVBap9y2OKuHEEIIIaQnFOoWo6W9DyrsIhlQOr+71RFVDa0RvZeWHyJtutD6aEARKp6AIlTCG/RdV55oab9DSiHl2zFdZVhlED6PC7GEjC1hi0aEaf0BxgOuwhw9CFYpI90AoHm9rsvKl6/VbJAxg0ry7vguCPrcGFoRAACss0ooimyEsqFKJ/1CcLmBqtGZ+zGZtTuU47+uPIBSf34d3wWSJGnOKpEVYTqNawDIyrFcMqjw5wtnoYVZJYQQQgghfUGhbjFaI7kCG5kByoiqEVVKFHKDVUKlUQj1AtPeAUWoiHRhi+qkRX10oY3kAKXz/ig1qmuZUBT1uYWmvQNK530t/X2tfmsqAOEoGVNg2rtAlItYd/wPMO1dIKLwFglF4SgZyPcPAOym2n+jVUJd2K3QshuB5iixdpY9IYQQQkhPKNQtJnWhXHhEHUil/4o6a9MZyGi2dKrHKL8tiugOtJGcQNSpr7eqTn2g9bkCkf7eaI1QTzVSHJhQFBHd9TusEoqikZwzhfpG1cExqmag9lcdJU0WHf/ie0MI7kLRvn8o1AkhhBBiLyjULUaboT7AiKL1Ql2tUS90NJtAXGBbJtQH1vFaMNbqhnKaUB+g/S2OqItI+JgBlH4AaY4SyyLq4vgvVqhbIxTF94b4HimUUdUWp74Lu1WNGdjzxfMYUSeEEEKIzaBQt5BoPKldKI8ZaOqplUI9veP4gIWidRF1WZa1jIbxQwYYUbRaqBeb+qtF1C2K6BYpFEVEd71lNdIDHM0msIlQL3TihCBVemCR/YuNqGuOQgp1QgghhNgLCnUL2dSsdBwP+dyoKw8MaB+WXii3bAISEcDtAyp3G9g+LIyoN3ZE0R5RRuONHLBQtDCiG+0AOrYrtwec+iuEovkR9XgiqTXhG1ldWMd3wSitmZkF9pfllKNkwDXqIqL7tbI/k9nY1AWgiIi6av/N4S7ErJh8IAR29QAj6uJ57Q3K54kQQgghxCZQqFvIurSO14V2HBcIgbnJioh6ejSr0I7jgqq0iLrJQuWbZkWk1JYF4PcMbP2itnpTUyeicZOFihhLFagofDSeQAj1tq2mC5WtLd1IJGX43C7UlhXnqAp3xhDujOq5vNx0bAcirQCkgTtKKkYCkhuIdwFt9XquLied0bg2mm2gjqohZX4EvC4kkjI2q58n00jEgfAm5fZA7R+sAgKVym2Lym8IIYQQQvqCQt1CNjUXl3YKpCJhIjpsKkIoDjSaDihCBRIQ60xFh01CODcGGs0FFKES8rmRlFP/T9NoVkfaFWP/ULUiVgDTG5oJ+4+oChY8mk0Q8nlQW+4HYEH6u0h7rxwJeAfmaIDHpzwfsMD+irCuCHpREfQOaB8ul6R9B20w21nYsgmQE8qIRzEPfSBUs06dEEIIIfaDQt1CRER3RNXAhXpZwIvqEh8AC9J/9RDqHh9QMUK5bXJESw/7S5Kkpf+a3vldzJ6vHFXcfrSGciYLRdWxMWKA0VyBZenvTUWOZhNY1Pm92P4AAsvsL9LeK0cBriJOZVXs/E4IIYQQ+0GhbiHfqEJleOXAI7pA6kLb9PR3PYQ6YFmduhCKI6uKs/+YQRY1NBMR9YGm/QosGtEmIrpF27/GooZ+Wn362OL2I55vslDUTahXW9QnQ3xfDLQ+XcCIOiGEEEJsCIW6haQiuvoIddMvlDWhXmREt0p9vskXypr9ixQqwtFieo2ubhF1a4SicJQULRQHWXX8q/XRxTqqrIqoqxHwgdanCyxraKmNZhtd3H4YUSeEEEKIDaFQt5DN4eJTr4HUhbLpI9p0E+qjld9mp76n1UgXgybUw1ZF1Iu0f4VaI93yTXH7KZCNWo+AYiO6JRn7M40WIdRHFrefqrTO7ybi/NT39crvgc5QFzCiTgghhBAbQqFuEW3dMYQ7YwCA4UUKxZFWzFKPR4DWLcrtolPfzZ+lnkzKWkR9ZJGOkuHq88WoMVOQZf0i6qJHgIgQm0Qq9b1Y+yufny1hkzMahGOjotiIuvnHP6CnUE99/ySTJk5uaNY5ot6ySekkTwghhBBiAyjULUJE06tCXpT6PUXta5QVQr3lGwAy4AkCJYOK25cFEfXt7RFEE0m4XRKGVgywY7dKKqJuolDsalZHg6F4R0llWkTdpBF5XdGENhqsWKE4rFL5/zW0dps3yzsRT3NUFRlRLx+u/O5uASJtxe0rT5JJGZuai5uhLhheGYRLAiLxpPY/NRxZTmWUFFujXjYUcPuBZDyVJUEIIYQQYjEU6hbxjRpNLDaaDgC7qRGtzc1diJslVNIbyQ1wBryGEOptW4CYOVFp0XhvaEUAHndxHwPxP2zqiKIzalJETkTTS4YAvuKEliYU411AZ2Nx+8oTUZ9eFvCgIjSw0WCCQSV++NwuJGVFrJtC2xZlNJjbp/wPiiFQDgQqlNstm4tfWx5sa4sgGlcdVZXFOao8bhdqy5V9bGkxyf6dTfo5qlyu1D7E9xohhBBCiMVQqFuE6Pg+orJIkQWgtiwAn9uFeFJGQ5tJES29Or4DQKgG8JWq+91Q/P7yQK+0d0CZQ12mZkWYln6tV306AHj8qTnUJkUUtRn2OtjflSY2TWvoJ8oEyocXNxpMYHKfAJF9M6wyAG+RjiplPyaXH7So3z+ldYC3eGenVv7Rao6jhBBCCCEkFxTqFqFXx3dAESq1FX4AwFazLpSFUNdDKEpSWkTLXKGoh/2BVFT9G9OEok716QKT69Q1oV6tk/2FUGwxSyjq1EhOIOxvkqNET0chAK18xDyhrgrqiuH67E/sx6SMBkIIIYSQXFCoW4SeQh0AhlYIoWJS6qkmFHWIqAOp9GuTIlpaRL3I+lzBMLPr1PWMqAOZdeomsLFJn/poQSqia9bxrwrqYhvJCTShbo79t6rfE8WmvQuGm21/8T1RrpNQLzfXUUIIIYQQkgsKdYvQazSbYJjZES09U9+BVETLJKEuaqR1i6ibnfqru/3NFSrCTsJuxWK6o8SwiLpZQl2x07AKvRyFZkfUhaNkhD77Y+o7IYQQQmwGhbpFaKmnOqX+DlWFiump77pF1IVQcWZEXaS+m1YjrY0G00soqv9Hk4T61lYR0dXLUWJyjbomFPWyv7kZDVvD+kbUhaNkq2mlBzpH1Jn6TgghhBCbQaFuAe2ROJrFDHW9IooVJnZdjkeAtq3Kbd1qpEVE3XihkkzKqYiibkLR5IiuGA2md0TRpBr1etX+xY7GEwyvFLPsTW4mp7f9zcpoUL8n9IqopzIaTE59161G3VxHCSGEEEJILijULUBE/SqCXpQFihtNJRA16qZEtMRFsieodGzXA61GfYs+++uHxo4oYgkZLgkYUubXZZ+mRtQjbUCkRbldPkyffZpYox5LJLFNnU5Qp5NQF7PUt4S7IBs9C16WU3bSO/W9dQuQTOizz37QHCU6R9R3tEcQiRu//lREXSdHifj+ibYp8+wJIYQQQizGFKF+3333YfTo0QgEApg+fTreeeedrNseccQRkCSp189xxx2nbTNnzpxej8+aNcuMt6ILIuqnVzQ3fV9bzYhoCTFdPqz4GeqC8rTUU4OFVr0aTRxc5tdlNBUAjFDtX9/ajZjRs+xb1WwGfzngL9Nnn0Iodu4Aop367DML29oikGXA65YwqEQfR4k4/juiCbR2GTzLvmOHMnMekn5CsbQOkNxAMga0b9Nnn1noiia0jJ6h5fp8B1WFvAh4lc9SvdFZPclEKqNHr4wGXwgIVim3mf4+YHiuJ4QQQvTDcKH+1FNPYf78+bjuuuvwwQcfYOrUqZg5cya2bev7YvS5557D1q1btZ/PPvsMbrcbZ5xxRsZ2s2bNytjuiSeeMPqt6Ea9qM/VKZoIpCKKjR1RdMcMjmgJoahXNDd9X7EOoDus3377QGQd1OmU9gsAg0r98LldSMomCBWt47WO9g9UAr6yzP0bhIjm1pYH4HLp4+gJeN2oKfEBMKH8QMzwLqsDPD599un2pP6fBttfHP8hnxvlQY8u+5QkSUujN7zze1s9ICcAlwcoHaLffk1u6LezwXM9IYQQoi+GC/Xf/va3uPDCCzF37lxMnjwZDz74IEKhEB555JE+t6+urkZdXZ3288orryAUCvU6efv9/oztqqqqjH4ruiFGI9WW6yfUK4JeBL1uAA4Vir4QEKxWbhsc0RKOkrpyfaK5gDLLXjhLDBeK6RkNeiFJaXXqG/Xbbx9oo8F0dFQBaeUHRts/rHMjOYFJderp9pf0yohB+og8o49/9fuhbBjgcuu3X5EdYUKfjJ0RnusJIYQQfTFUqEejUbz//vuYMWNG6gVdLsyYMQMrVqzIax8PP/wwzjrrLJSUlGTcv3z5cgwZMgQTJ07EJZdcgsbGRl3XbiQNBggVSZK0etMtRtepi7TTsqH67rfCnDr1es3++kXUATOFigFCHTCtTl3rOK63/StMFop6NTITaOUfBttfNJLTsfRG2Z9JI9q0iQc627/CHPvvjPBcTwghhOiPPnmPWdixYwcSiQRqa2sz7q+trcWXX36Z8/nvvPMOPvvsMzz88MMZ98+aNQunnnoqxowZg7Vr1+Kaa67BscceixUrVsDt7h1hiUQiiEQi2t+tra0DfEf6kIro6htRHFYRxNfbO4yvU2/VeTSSoHwEUP+p4REtIdT1amQmEP/PhtZIji2LpFXnRloCk1J/jYqom+8o0VsommT/sL4d9wXC8WL45Amjvn8qzB0RuTPBcz0hhBCiP4YK9WJ5+OGHsffee+PAAw/MuP+ss87Sbu+9996YMmUKxo0bh+XLl+Poo4/utZ+bb74Z119/veHrzRchFGt1v1BW9md453cjatTT92fwhbIQino7SsT/s6HVgaUHgJJKDKQyJgyivlX0CNBbqJtUemBYRok5Qn2L5qjSN6I+3CxHSYtRGQ0i9Z1C3Wx21nM9IYQQUgyGpr4PGjQIbrcbDQ0NGfc3NDSgrq6u3+d2dHTgySefxPnnn5/zdcaOHYtBgwZhzZo1fT6+YMECtLS0aD+bNpkzqzgbRjSTA4ChlWZFtERE0ajUd5Nq1HW2f6066s14oW5QRLdM/UwaLNSNiqiL/+c2ozMa2uqV32X9f4cVjDbL2+gadXXqhO7fP2Y5ClVHhu4ZJSL13drzgxPhuZ4QQgjRH0OFus/nw3777Ydly5Zp9yWTSSxbtgwHH3xwv8995plnEIlE8L3vfS/n63zzzTdobGzE0KF9C0e/34/y8vKMH6voiibQ0qWMRtKzmRyQuvA2NKKViAPt6sWYEanvgKFCXZZlTUgYJRTrnRpRF44XIUQNwqgeAeLzZLz9DeoRYLb9da9RN6nru2E16umz7A0esbiTwXM9IYQQoj+Gd32fP38+HnroITz22GNYuXIlLrnkEnR0dGDu3LkAgHPPPRcLFizo9byHH34YJ598MmpqajLub29vx09+8hP873//w/r167Fs2TKcdNJJGD9+PGbOnGn02ykaISKCXjfKA/pWHgw1Y5Z6xzZlNJLkBkoG67vvirRZ6gbR2hVHd0y5CNfbUSL212BkRkO0E+hqVm7rnvquXvwa2MwvnkhqGQe6O0q0HgHdkGVZ131ryLJxqe9if+3bFIeYQQhHnt4RdXH8t0fiaI8YOMu+xaAa9bKhACQgEQU6tuu7710AnusJIYQQfTG8Rn327NnYvn07Fi5ciPr6ekybNg1Lly7Vms5s3LgRLlemv+Crr77CG2+8gZdffrnX/txuNz755BM89thjCIfDGDZsGI455hjceOON8Pv1G7dlFPUGjUYC0iLqRqaetqaJFD1HIwGpC+/WzYog0tk+ALBVrY+uCnkR8Oq7fiFUtrVFkEzKus0Iz0CIRG8JEKjQd99CKHY1AfEI4NH/87S9PYKkDHhcEmpK9d3/YLX0IBJPorUrjoqQV9f9AwC6w0BcdcTonfoeGqQ4wOSE4hDT2xEDoCMSR2u3IqL1jqiX+j0o9XvQHoljW2s3SgeX6rp/AEA8qtgGSEXA9cLtBUprgfZ65XNWVpv7OUSD53pCCCFEX0xpJjdv3jzMmzevz8eWL1/e676JEydmjYgFg0G89NJLei7PVEQ0Ue9oLpBKvW7rjqMzGkfIZ8C/V0u71jmaCKSESbwb6GwCSmr6334AbDWokRagCEVJAuJJGY0dUU046kp62rvejoxgFeD2A4mIIlSqRuu7f6TsX1segFtnR0bA60ZlyItwZwwNbd3GCHXhqApWAV6djyGXSxH/rZsV+xsg1EXZR5kqqvVmSLkf7dvjaGiNYKwRQr1dLQtw+4CQ/t8PKBNC3djyg50VnusJIYQQ/TA89Z1kstWg0WCAEtEK+ZQosWENtURE1wARAY8/lU7fZkz6db1BjcwAwOt2YVCpwQ3ljKqPBhThrzWUM0aoGGl/AKgtM7jzvjguywywP5BWfmBMQ7/6FuV7wYjvHyBl/21tRtk/rZGfARk3qfIDCnVCCCGEWAuFusk0GNRxHAAkScIQNYq7rc0goS4iukYJlVIhFBv6326AGOkoAYDacqOFukH1uQLhADCoTl3URxtl/yGq/euN6hNgVMd3gcGd94WANiKjR9mvwce/sH+p0fanUCeEEEKItVCom0y9QTO8BUPKDY4oGjVDXSDqQg2KaDUYbP86ozuPGxlRB0yLqBtl//Q+AYagHf8GlH4AqYiuQfYXdhliRFkGUt8/xmX0GOwoKaVQJ4QQQog9oFA3ma0G1qgDMCGibrBQLDU2orjVwIwGwITO70bNsBeITAnDIrrKcWnU8V9ntKPK8NR3Y4WisMvgcoOEuvr902DU90+7wUKdEXVCCCGE2AQKdZNpMLpGV4toGSxUDI/oGpP6Xq820zI6ottgeETRKKFuTur1EIOEommp14YJRRFRN9hRUmb08e9U+xt7/BNCCCGE5AuFuonEE0lsbze2mZOhEXVZNi/12qDUd2EXo+xveOp7u+rAMKpGV/xfDU69NqQjPtJLPxyaUWJwRHe7ahfjHCVGOwpNqlFvN8ZRSAghhBCSLxTqJrKjPYpEUobbJWndwfVGXIAb0nU5fYa0URfKpWqNugFCJRJPINwZAwAMNsj+tRUGRhSTyZSAMGrGsxAqBjWT04SiYyO6aqTVsIwGYyPqDSKjwTD7i4yGSNaxW0WhRdSNOv5F1/cGIJkw5jUIIYQQQvKAQt1EtPrQUr/uM6QFqfFUBkQU27cpvwMVgNeYC30jU9+3q9Fcr1tCpREztmFw6nVXM5CMK7dLhui/fyCzmZnOQqsrmkBbRFm/0anv29oiSCZ1FoqJeOozYHTpQVcTENf3MyzLstbkzbBmcur3T1cs9b/WFa1G3SD7lwwGJBcgJ4GOHca8BiGEEEJIHlCom4gQikaJlPR9G5J6anTaKZCZ+q6zUBT2H1zqh2TEDGakUt+bO2PojukckRMiJVgNeHz67lsg7B/rACKtuu5a2D/gdaHM79F13wLlfwskkjIaO6L67ry9AYAMuDyKoDOCYBXgVr8fdM4qaY/E0aUek0Z9BwV9bpQFlP+t7t9B8SjQ2ajcNuo7yOVOOcFYp04IIYQQC6FQNxFRn25U2jWQqtFt7Y4bIBTVaGKpQdFcIJX6nogqEWQd0eqjDWokBwAVQS/8HuVjpfuIKqMbaQGArwTwV2S+nk5sS0u7NspR4nG7tLIS3bMahHArrQNcBn11SpJhderi+C/zexDyGeMoAdLr1HU+/kXZh8sLhKr13Xc6ZcaV3xBCCCGE5AuFuolsN7iRFqBchAe8BglFrT7aQKHo8StRRUD3C+XtBs+QBgBJkjShontDOc1RYlB9rkCMftO5Tt3oGd6CWqP6NGj16QYe/4BhdepGj2YTaOUfuts/zVFlkKNH2b+oU6dQJ4QQQoh1UKibiBlCPV0o6n6hLC5cjRaKIq1V5wtlozuOC4RQ2a53532z7G9URLfV2NFsAtGnob7FgRkN6ft3oKMKMLBPhtEz1AWcpU4IIYQQG0ChbiKp1F9jL5S1EW26XyibFNE1qKGcWUJFpF7vaNdbKBrc8V1gUEQ3FVE3rvQASB/RprOjqmO78tvI0g/AOPur3we1BpZ+AAbav81kRyGFOiGEEEIshELdRMyIqAOpC2X9U3/NjujqK1S2q/Yw2v5i/8ZF1A2OKAohKoSpTpid0aD78a/NsHdmRoMQzqaVHhjWo8Ggju8CRtQJIYQQYgMo1E1EayZnUkRd/9RTE5rJASkh1G5URN3YiKJoFqi/UBejwQwWiqLrtXg9nTCrRj3lKNG767tJx78WUTeqR4DBEfUygyPqhmeUGOMoJIQQQggpBAp1k5BlOW08mLEXyrVGRdRNqxFNm+WtI2ZFdDWhqHvqu1mpv8Y4SkSNutH2N6z0wKyIunAEtOud0WBSjwCjmskZPUNdoI2I1Pf4J4QQQggpBAp1k2iLxNEdSwIwL6Kua+ppPJIal2Z46q/+QjGZlDXhZl5E1yihaFLqu84RddMyGgyzv0k9GrTSA6MyGsyzvyzL+u24zaTjX+v63gAkdR5xSQghhBCSJxTqJrE9bYZx0Oc29LXEhbiuEXVRr+zypsanGUWp/qmn4a4YYglFNAwycI59+v51jehG2oFou3Lb6NRfA4RiLJFEY4eSim50RFcrPWjXUSjKckqolwzWZ5/ZEKUHnY1AIqbbboXjzmj7i+O/O5ZER1RHoauNxzO69GMwAAmQk0DHDmNfixBCCCEkCxTqJmFWIzkgvZmWjkKxLS3t18gZxkDqQrytQRFIOiCcFlUhL3weYw978T/e0R5BMqmTUBTRdG8J4C/TZ5/ZEBHjrmYgrk+dt3BaeFwSqkM+XfaZDSEUo/Ek2iJxfXba3QIk1M+T0TXqoWpAUp15OgnFzmgc7aotjM4oKfF7EFKdkTv0+g5KxIBO1RZGR9RdbiBUo9zWOauBEEIIISRfKNRNQgj1QSYIdSFUwp0xxBJJfXaqpV0bLFKA1IV4vAuItOqyS7PSrgGgplQRorGEjJYunSKiZto/UAm4PMptnTq/i2juoFI/XC5jHT1BnxulfmX9uqW/i2i6vwLwBvXZZzZcbqBkkHJbJ6Eo7B/0pmxjJLpnlQiHhZQmoo3EoPIPQgghhJB8oVA3CbM6XgNARdALjyqGGtt16nxtViM5APCFAJ8aNdapoZYQKmZkNPg9blSGvAB0bCjXZqL9Xa60zu/69AnQjn+D064FWlaDbkLdREcJoHvn/R1pEyckozNiAAxSnVW6OUqEw6JkkHJ8Go0ob9B5RCEhhBBCSL5QqJuEmanvLpekRXV1i2iZNZpKUCoulPURKttNaiQnEHXS+glFkxqZCXSOKGodx02yvyYUdYvoOtv+4ntA2MVo0ss/dEE47ErM+v4RDS0ZUSeEEEKINVCom4SZQh0Aakp0HhGmjQYzIaIL6B5RNDOiDqRSf3Wzv5kZDYDuDeV2qDPNzbK//hF1IdQNbiQn0Nn+29XMGqMbKQpSx79OGT3pEXUzMKjzPiGEEEJIvlCom4QQbIPNulA2TKiYHVHXJ/V0e7u5Ql33EWGm21/f1PfGjlSNuhno7ygxaYa6QKRe6xVRN7FHBmBAjbrZx79mf6a+E0IIIcQaKNRNQmtmVm58MzMgleK6Q7cadWcLlW2tauq1SfbXXah3ODv1Vwi2mhKTUq+10gO9jn+zHSXG2H+QSfbX3VGoHf/OzGgghBBCCCkUCnWT2K7W6JoVUR+se0RLFepmpV4LQapTRN2qGl39aqRNFiq6NzNTBHONyRkl+kXULapR10koiqaSZkXUB+vdI8D0iLo4/hlRJ4QQQog1UKibQDyRRGOHuTW6uqaeynLqQtm0iJa+qe+a/U12lOgXUVfHU5kdUdRJqDeKiLpZjhKjHFWObyZnco8AvZv5mZZRIjJ69Cn9IIQQQggpFAp1E2jqiEKWAZcEVJuWeqpj1/dIK5BQ9+PAiG4skUS4U5lnbnpEVw+hLstpEXWzmmmpglSviK7JjhJd7Q+Y76gyaDyb2T0C9Cs9UI9/s5r5Cft37gCSCXNekxBCCCEkDQp1ExBpv9Ulfrhdxs8wBnS+UBbRXF+pMuPcDHRM/W1SRaLbJaEy6C16f/mga0Q32g7EldIJ07teO9RRkh7RlWW5uJ0lkylHidkR9a4mIBErenc7tK7vJjkK1f9zVyyBjki8+B2aHVEXnzM5CXQ2mfOahBBCCCFpUKibQKrjtTkXycpr6SgUza6PTn8tHWpEhQ2qS3xwmeQoEUKxqSOKRLJIoSjs7y0BfCVFrixPhFCMtAKxrqJ21aw6SlwSTHOUiKZ1sYSMlq4ihW5XEyAnAEjmOUqC1YDkVm4XWf7RHUugXRXLZtWol/g9CHqV9Rf9HZRMAJ2Nym2zatTdXuV/ALChHCGEEEIsgULdBBq1RlrmC/WmzijiiWRxO7NSqMc6gGhHUbvSGpmZVHYAqE4BCUjKKUfNgNHq000SiQDgLwc8aof8IqPq6RklZjlKAl43ygMe9fWLtL+oUw7VKALODFwu3SYfiPfvc7tQ5vcUu7K80W3yQWeTEtmGBIRM/Azo3CeAEEIIIaQQKNRNIDWaypxoFqAIRUlSypubOotMf7dCqPvLUkKxyIhio8n1uYCSZl9dopNQMbs+GgAkSbc6aSsySoBU9Hhb0fYXjeRMiuYKdGqomJ72LknmOErE6ymvX6yjSj3+QtWA2zxHg/Z506mhJSGEEEJIIVCom4BopGVmRN3tklAdUi+Ui61Tbze5kRnQQygWK9TNrc8ViNdrLHaWvRWOEiAtolhc5+sdJnd8F6T6BBRrfwsyGoC0WepF2l91VJiV9i4QjrHtxdrfCkcVwIg6IYQQQiyFQt0EtAtlEyO66a9XfETLKqEoIlr6pP6a1chMIISpaGY3YKwSijpFFLXSDxMzSgAdO7+bPRpPoFNGg9kd3wXC/juKtr9V3z/6Tj4ghBBCCCkECnUTEBF181N/9Uo9tehCWTehYn5GAwAt9b2xaKFulf1Vx0DnjqJ2Y5X9deu8L96/mfXRgI6p7xaVHuhlf/H5N7v0QMeGloQQQgghhUKhbgKNFtSoA3pG1FWhYtYMY4EmVIoVitZEFEXzukbHOkpUYVqk/a3oEQCk7N+kW+mBQ1PftdIPc+2vWzM5s0ezCXQq/SCEEEIIGQgU6iZgVURxkG41ulYJRX1S361qZqYJRadG1EM6CXWLMkqqRY+Aou2vjgYzW6jrZH+rSj8G69VMTkS0zXYUCscAU98JIYQQYgEU6gYjy3KaULQooq5bRMuZqe9W1UhXa0LF4TXqRaa+W5VRomU0FD0eTxWKZqe+a6UHjUXtxqrUd+EYKN5RYlVEnanvhBBCCLEOCnWD6Ywm0B1T5pibH1FXXm97MRGtRAzoalZuW9ZMbuAXyrIsp7q+m9z1WgjTJr2EoumOkhr19Z1Zo16t2b9IodhpVTM5vSLqyvsfbLKjsFqv0gPLatRFRH07kEya+9qEEEII2eWhUDcYIRKDXjdCPhNnACOt63IxF8oimie5gGCVDqsqAB0i6q3dcUQTqqOkxOyIog6p18lE6n/gwNR3WZat6xFQqleNukUZDaG0Zn6yPODdaPY33VGl2L8tEkcknhj4jqzu0SAngO6wua9NCCGEkF0eCnWD2dFhzQxpABikR0Q3Pe3X5dZhVQVQWnyNqEi7LvV7EPCau35dIoqdTQBUkRaqKX5RhZCeej1AodgRTSAStyajRBehGI8AkVbltlX2T8YHLBRjiSTCnTEA5jtKygNeuF0SAKC5IzawnciydePxPH7AV6bcLrL8gBBCCCGkUCjUDUarjzb5IhlI1Ug3dUQhDzQi125RfXr6a3a3APGBid1Ux2vrHCVFCUXhKAlWA25zMzK0iG4ypvwPBoBwlFiRUaKLUBQCzeUBApX6LCxf0oVix8CEokj7d0lAZdCr18rywuWSUBUqsk9ApFU5/gDzMxoA3co/CCGEEEIKxRShft9992H06NEIBAKYPn063nnnnazbLl68GJIkZfwEAoGMbWRZxsKFCzF06FAEg0HMmDEDq1evNvptDAhtNJXJadcAUK1eJMcSMtoi8YHtxKq0X0ARRpIaBR9gRKvRoo7XAFAe9MCjCsUB10lblfYLAN5AmlAcmFCxqj4dyBSKA+48rmWU1AAuC/yaQigOsKGfcBRWl/jgUo9FMxmU5iwcEOK485YA3qBOqyqA9PIDkpNd+VxPCCGE6I3hV55PPfUU5s+fj+uuuw4ffPABpk6dipkzZ2LbtuzpzOXl5di6dav2s2HDhozHb7vtNtx999148MEH8fbbb6OkpAQzZ85Ed3e30W+nYKyqzwWAoM+NoJruPeD0ayuFossFhKqV2wMU6js6RMd384WiJEla+nujE+0P6CAUrXOUADoKRavsX2SfgObOlFC3gupiRxSKz73ZZQcCnRr67Qrs6ud6QgghRG8MF+q//e1vceGFF2Lu3LmYPHkyHnzwQYRCITzyyCNZnyNJEurq6rSf2tpa7TFZlnHnnXfil7/8JU466SRMmTIFf/rTn7BlyxY8//zzRr+dgrEyogikLpQH3NDMaqFYZERLjKYzu5GWoHj7W5jRAKTNsh+gUO8QHccdKhTF+7ZaKA7UUdJhD6E+cEeVOP4tsj8j6nmzq5/rCSGEEL0xVKhHo1G8//77mDFjRuoFXS7MmDEDK1asyPq89vZ2jBo1CiNHjsRJJ52Ezz//XHts3bp1qK+vz9hnRUUFpk+fnnWfkUgEra2tGT9mIS6UrYoo1ugWUbRIKIaKqxHVZthbJFRS9i8y9dpqR8kAR+RZNUNdULSjpNNqR0lxEd0m1f5WCfWaoiPqwlFilf3F9w+byfUHz/WEEEKI/hgq1Hfs2IFEIpHhJQeA2tpa1NfX9/mciRMn4pFHHsHf/vY3/OUvf0EymcQhhxyCb775BgC05xWyz5tvvhkVFRXaz8iRI4t9a3mj1ahbHlEcqFC0aIaxQEu9HmDqe5vFjhJVoO6qqe9WZ5TUFH38Ozv1vcnyiLp6/Bdtf6schYyo5wPP9YQQQoj+2K7r+8EHH4xzzz0X06ZNw+GHH47nnnsOgwcPxu9///sB73PBggVoaWnRfjZt2qTjivtH6/pucUSxaaBdr60Wio4XKjtL6vsAHSUW16hX6+UosSyiq1fqu0X2Ly0y9Z016jstO9u5nhBCCNEbQ4X6oEGD4Ha70dDQkHF/Q0MD6urq8tqH1+vFPvvsgzVr1gCA9rxC9un3+1FeXp7xYxaNFs5RB3SMKFouVAY4nqrTumZyQFozM6dG1ItOfbduPB6Q+twNPPVdPe6sjugW2UzOquO/+NR3m9ifc9T7hed6QgghRH8MFeo+nw/77bcfli1bpt2XTCaxbNkyHHzwwXntI5FI4NNPP8XQoUMBAGPGjEFdXV3GPltbW/H222/nvU+zSCRl7QLVqgvlVOppsRfKzmzmpEXULSs9KDb11+rU92IjutbWqBctFDX7W+2oKn48mxXo18zP4hp1CvV+2dXP9YQQQogReIx+gfnz5+O8887D/vvvjwMPPBB33nknOjo6MHfuXADAueeei+HDh+Pmm28GANxwww046KCDMH78eITDYdx+++3YsGEDLrjgAgBKl9irrroKv/rVrzBhwgSMGTMG1157LYYNG4aTTz7Z6LdTEC1dMSRl5XaVEyNa0U4g1qnctupCWYxnG0DqdSIpIyzGU4WcnvpudUR9oHPs7TH1wLFCMVRcMzOrSz9qnN7MLz2jQZYByfxZ9E5hVz7XE0IIIUZguFCfPXs2tm/fjoULF6K+vh7Tpk3D0qVLtQYxGzduhMuVCuw3NzfjwgsvRH19PaqqqrDffvvhrbfewuTJk7VtfvrTn6KjowMXXXQRwuEwvvWtb2Hp0qUIBAJGv52CEBfJFUEvvG5r2gEUJVREFMnlBfxlOq6qAIqIKNrBUTKomBrdWBcQbVNuWx3RHUDqeyIpp0oPrE59b3doM7n0438AQtFqoS5et6UrhlgiWfj3oHBQWF16k4gA0XbrvgcdwK58rieEEEKMwHChDgDz5s3DvHnz+nxs+fLlGX//7ne/w+9+97t+9ydJEm644QbccMMNei3REKy+SAZSAnVAQjE9mmVVJKmIGl1h/7KAx5mOEvGeXV4gUKHjqgogvUdAgUKxuTOqPcWqjAaRct/aHUc0noTPU8BxEI+kOUosLv1IRIFIGxDIv+Y2mZQtr1GvDPkgScqh09wZxZCyAgWWNp6tWv/F5YOvBPAEgXiX8nmkUO+XXfVcTwghhBiB7bq+70wIcVYV8lq2hqJS363uuAykhGJXE5BMFvRUq/sDKK+tCMX2SBzdsURhT06vT7faUZKMAd0tBT1VOIeqQj54LHKUVAS9cLsU2wnRmjeao8QDBCr1XVi++EKAt0RdT2FZDXbIKHG7JFSFBvgdlF56Y1VGSfprs06dEEIIISZCoW4gTRaPRgJSTdS6Ygl0RQsUip1Nym+rollAykkgJ4HucEFP1RwlFgr18qAHHlUoFixUrB7NBgDeAOAry1xPnoh0cysdJS6XpDnKCs4qSR/NZmVt8gAbmom68HILM0qAtKySQu3fmZZR4rewe7fWJ4Aj2gghhBBiHhTqBiIieNUl1kXUy/weeN2KyCi487jVjbQAwO0F/BWZ68kTO0TUJUkaePq71R3fBZpQLMz+21WhbmXpR/rrF2x/qxuZCQZY/mGH0pv01y+4oVyHDUpvxOsDA+68TwghhBAyECjUDcQOEd10odjcESvsyXZIfQcGLBSFo6TKovpoQU2pklGxo9CGZnYR6gMUis02EYo1Ax2RZ4eMhvTXL/D4b+qwh6NkwOU3WkaPMx0lhBBCCCHFQKFuIHaI6AJFzPJ2eERRmyFtUcdxwcCFik3sLxwFBdZIN3cqjiErHVVA6v9feOq7DTJK0l+/0OPfBqU3yusPMKKuHf9WOwoZUSeEEEKI+VCoG0iqmZxThaJdIuoDa+bUbPEMdcHAU6/ViGKwSucVFcgAMxrCWkaDdaUfwM7gKBlYjXqzTRyFKfs7sPQGKHqWPSGEEELIQKBQN5BUjbrDhaLVQl00sytQKDbaJfVajejuKLiZll3sLyK6hTpK1Ii6TRwlhddIi9IDq4VicRF1yzMaHO8oYUSdEEIIIeZDoW4gWuq1TS6UB9zMyalC0S5CfaARxS4bdN0HUkKl4NR3xf6VVmeUqD0CCo/oiowSmwjFAu1vm9Ib1f67WukBIYQQQkgxUKgbiF0i6ppQLDiiqwoVh0a07NL1umagQkVLfbdaqKs16gWnvouIukNT3+3SzG+A9rfN8V9s6Q1r1AkhhBCyC0KhbhDdsQQ61bnlVqeeVg0kop5MpkV07RJRd6ZQGXBGg10i6gPMaBD2tzqirtl/oHO8rXZUDdD+dmmmOPDxhHbJ6GGNOiGEEELMh0LdIMRFqdctoczvsXQtA0q97g4DclK5bXlEt/Bmcl3RBLpiiqPEaqE+oIhiMgl0NSu3Lbd/cc3k7GL/wks/7JL6nmZ/Wc77aSKjx+rUd/H6zZ1RJJP5r1873iy3v/r6sQ4g1mXtWgghhBCyy0ChbhDpHd8lSbJ0LQOKaIlolr8C8Fh7oZ9qJpe/UG/qTDlKSq12lGip7wU4SiItKUeJ1RF1bTxb/kIxGk+iQ2SUWJ36rtq/pSuGWCKZ35Ni3UC0Tbltl4h6vBuIduT1FFmWU83kLM5oEBk9SRkId8Xyf2KHTUpv/OWASz2GWadOCCGEEJOgUDcIu9SnA6mu4wUJdW00m8UiEchMfc9TKKY3krOLo6QjmkC3GuXPiahP95UCHmvnYGv2T8aA7pa8niKi6S4JKA9YK9Qrg1641ENAfC5zIqK5Li8QqDBmYfniKwE8AeV2nlkNHdEEonHFKVFjceq71+1CeUBxluXtrErEFGcVYH1EXZJS6e+sUyeEEEKISVCoG4Rd6qOVNShCr7U7nn9E0S6N5NLXkIgA0fa8nmKXaCIAlAc88LoVpZh3+rVdGskBgDegOAyAvLMaxGi2iqAXLpe1jhKXS9KOg7ydVen10RY7ehShWFidumgcGfC6EPJZm1ECpGWV5H38q+9TcgHBKoNWVQAlA+sTQAghhBAyUCjUDaLJJjOMgR4RxbwvlG3SyAlQI4pB5XaeqafifVodTQQASZK0hmp5219rJGcDkQIUPCJMRK7t4CgBBtBQzi6N/ASiTj1P+zeq/ShqSizOxlApuPxGfM6D1YDLBqcpRtQJIYQQYjI2uALaOdFSr20gVNIjigVHtKxOOxVoF8pNeW1up4g6kDoOxMiynNgpog4UbP9mGzmqgJTDxpEZDUDqc5inUNQcJSXWlh0ICp58YJeO+4ISzlInhBBCiLlQqBtEo41S34GBRLRsVKMOFNx5XIuo28T+lWpDtaZ8a6TtFtENFtbQr9kmM9QFIrLclG+NtOi4b5uMhrSGfnmgjWazSURdm3yQb0ZDh006vgsKdJQQQgghhBQLhbpB2KmZHDCQiJYQ6jZIfQcKnqXeaLOIrrB//qUHdovoCkdJvkLdHjPUBcJR0uzUjIaSwoRik80cVdWFjojUemTY5PuHEXVCCCGEmAyFukGIiJbdhGLeEUW7pp46NKJelTZLOi/sFlEXQr0rv9T3sFajbo+Iujj+w461v8hoaM5rczs1swQG4CjssFGPDKBgRxUhhBBCSLFQqBuEEGR2EYoFp747PKJup2Z+QKpGPf+Iut3sr6aAF5j6bp+Iunr8OzWiXmDpgd1KbwoeEdlps9R3RtQJIYQQYjIU6gbR1CFqdG1yoSyEet5zpO3WTE4Ilfwiuk02Kz1I1ag7VCgW2EwubLuu72rqe8Fd9+1if3UdeWY0NNtMqIvjIP/SAxuNhwRYo04IIYQQ06FQN4BkUrZtjbpzm8kNrEbXbvbPP/XaZs3MChTqKfvbI/VdG4+Xt6PKro4SZ0bUq0IFHv8ddssoKez4J4QQQggpFgp1A2jrjiORlAHYaDxSqdL9Oa850rEuINah3LZbRCuP1NNEUtYEgW2ESsGlBzYTigWmXodtlvpecOmB3SLqwQIzSuzWo6FgR4lNa9S7w0AibulSCCGEELJrQKFuACLtutTvgd/jtng1CqKpV15zvIUYc3kAf7mBqyqAAiLqrV0xqH4S26ReVzldKA6w67td7K913c879VrNaLCLoyRdKCYTOTe3W0aJcFh2x5LoiuZev+aQsItQD6ZltnSHLVsGIYQQQnYdKNQNQIwgsks0HSgwopXeyEySDFxVARSQeirSfssDHnjd9jjEqwup0Y12AvFu5bYDhWIyKaOly15z1EWPgK5YIrdQTMSASIty2y6OEiEU5STQ3dLvptF4Eu0RJeprF0dJqd8Dj0v5Lsn5HSTL9nNUuT2Av0K5zfR3QgghhJiAPVTMToZoJFdd4rd4JSnSx4PJstz/xh0267gMpARrpFURUv1gt/4AQMppk5dQ1DIavIC/zOCV5UkBQrG1O5XRYJfU91K/B153nkJR9AeABAQqDV1X3nh8gE89FnIIxXCX8v4kCSgP2sNRIklS/n0CIm1AUk0vt4ujCii4oR8hhBBCSDFQqBuA1nHZJtFEIBXZjCVkdOQUijaLZgFAsBKAGt3v6n+WtKjDt5NQLyiimB5NtEtGg8eXKoPIIRRF1kCJzw2fxx5fMQUJRfH+AhVKJNUu5CkURXlLRdALt8smxw/SO+/nyCoR788TAHwhg1dVAKHC+jQQQgghhBSDPa6idzIabTbDGwCC3pRoylknbbfRSADgcivCCchDKNpPqEuSlH9DObs1khPkKVTsNsNekGool6dQtJOjCsjb/uLzbZe0d0HBjhK7Hf8FNvQjhBBCCCkGCnUDEBeidum4DKhCMd+GcnbruCwQ68kRUbRbIy1BtTaiyqFCMc/O73aboS4Qdeo7u1Bs1jru2yejB0g//gvIKLETTH0nhBBCiIlQqBuAXSOKQjg15RQqopmcjSLqgOMjukI45ba/EIo2maEuyNNRYluhWJJnRNe2QjG/zvt2dZSIPg1NuTIatI77Nj3+mfpOCCGEEBOgUDcALaJrtwvlfCNaHTaNqOcbUbSp/TWhmCv1XdTg204oOjuirjVUzCkUbRpRzzOia1dHSd6p73Z1lDD1nRBCCCEmQqFuAHZNva7SmjnlGdG124Vy3kLF5kLRqanXeUYUU/a3l1Csyjf13a5CMc8RhXZ1lOSf+m7XiLq6nhzNLAkhhBBC9IBC3QDs2MwMSJ+lnm+NtM0i6nkKFbtGFFPNzPItPbCb/Qutkbbn8e/YZn5CuDrUUZIq/XBqRkN+3z+EEEIIIXpAoW4ATep4MLsKlfwjujaLaGlCJc+Ios0cJXkLFbtGdAstPbCZ/fM+/rXSA5sd/1pGSf8RXbs7ShzbTC7PZoqEEEIIIXpAoa4zsUQSbZE4APsJlVTX636Eoizb90K5wBpdu0UUxfGQU6jYPqKYX0TXdhkNO03pgTNT351f+sGu74QQQggxDwp1nRGjtyQJqAjaS6jkFdGKdgAJ9XG7XSjnEdFNJGW0dts0opjvHHXbOkry6/oe1hwl9rK/5qhy6hz1PCO6dnVUVe009m9SHJqEEEIIIQZCoa4zQgSXB7xwuySLV5NJXhFFcZHs9gG+EhNWVQB5CMWWrph2DV1pU0dJ7hp10UzLZkIlz67vdm3m5/yIelpEtx+hGO60d+lNeySOaDyZfUO7219OAN0t1q6FEEIIITs9FOo6E+6yZzQLyDOimH6RLNnL0ZBPMzMhwsoCHnjc9jq8q/Np5peIAxFVBNgtoqg5SpqBZN9CS5Zl2zbzE8K1M5pAdyzR90Z2Lv0QwjUZByKtfW4iy3Iqo6HEXvYvD3ohfJf9ZvXYdTyhNwh4Q8ptpr8TQgghxGDspWR2AkS01G7RLCDPZlp2FSlASqh0NWUVinZNuwZSwqkrlkBXNItQTG8UFqg0flGFIOwvJ4HucJ+bdMUSWrTUbs38ygMeLcslnM1ZEmlThDBgv4iuLwR4gsrtLM6qtkgc8aQSbbfbZ8DtkrRyoKzOqkQs5YSwm/2BtPR3jmgjhBBCiLFQqOtM2KbRRCB14d4ZTSASzyIU7Zp2CqSlniZTUecehG3ayAwASv0eeFShmNVZItLKA5WA22POwvLF4wN8ZcrtLEJR1N/73C6U+NxmrSwvJEnKPaJNOKo8AUUY240c5R9hNVsm4HUh4LWX/YE8nIWao0oCgpWmrKkg2FCOEEIIISZBoa4zdq3PBZR08JwRRbuOpgIAjx/wlSq3swhFu46mAlShmKuhnJ0zGoCcQiXdUSXZrXQCqZKUrKnXdnZUAanPZdbj377fP0Ba5/dsx794X4EKwGU/R0O+fRoIIYQQQorFFKF+3333YfTo0QgEApg+fTreeeedrNs+9NBDOOyww1BVVYWqqirMmDGj1/Zz5syBJEkZP7NmzTL6beSFXetzAcDlkrQGa9mFok0bmQm09Pe+U09To6nsZ38gVaee1VFie6HY/4g2pwjFpqwRXZs7SnJMPmi2aSM5QVWuEZEOt/+uzq50rieEEEKMxnCh/tRTT2H+/Pm47rrr8MEHH2Dq1KmYOXMmtm3b1uf2y5cvx9lnn43XXnsNK1aswMiRI3HMMcdg8+bNGdvNmjULW7du1X6eeOIJo99KXth1hrEgNUs9V0TRhhF1wPERRWF/xwrFHBFFOzuqgPQRYdmOf+GosuvxnyP13aaj2QQ5U9+d4qhi6nsvdrVzPSGEEGI0hgv13/72t7jwwgsxd+5cTJ48GQ8++CBCoRAeeeSRPrdfsmQJLr30UkybNg177LEH/vjHPyKZTGLZsmUZ2/n9ftTV1Wk/VVX2uLButnlEtypXRNfuQjHHLGm7C8XqfFN/7S5UsjhK7O6oSo1oy5bRoB5X4n3ajZyOEnvbP2fqu92/f5j6npVd7VxPCCGEGI2hQj0ajeL999/HjBkzUi/ocmHGjBlYsWJFXvvo7OxELBZDdXXmhdvy5csxZMgQTJw4EZdccgkaG+1x4WTnGmkg7ULZsRGtXDXSDhEqTo2o53KUdNhzNJigMt9mcra3f64eDXa1f47Ud7t//zD1vU92xXM9IYQQYjSGtpXesWMHEokEamtrM+6vra3Fl19+mdc+fvazn2HYsGEZFwCzZs3CqaeeijFjxmDt2rW45pprcOyxx2LFihVwu3s3IIpEIohEItrfra19zyDWA9sLxVypv3YXKjkiukIo2lWoaLPUs0bURUTX7vZ3ZkQ31SPAqY6q/u1v9++fnPa3/fcPu773xa54rieEEEKMxmbznzK55ZZb8OSTT2L58uUIBALa/WeddZZ2e++998aUKVMwbtw4LF++HEcffXSv/dx88824/vrrTVmz3SNaqRpRh0e0slwo210opmrUs9nf5s38NKHSdzM/u9s/1UzOoaUfOYSi3b9/tIwGxzpKOEfdCJx4rieEEEKMxtDU90GDBsHtdqOhoSHj/oaGBtTV1fX73N/85je45ZZb8PLLL2PKlCn9bjt27FgMGjQIa9as6fPxBQsWoKWlRfvZtGlTYW8kT2RZTkW0SuwpVCpzzjF2iFDJGlEUzbTsaX9RI+34iKJDewTkbibnbKFo94h6ajyeA8dDAjlLP3ZVdrVzPSGEEGIGhgp1n8+H/fbbL6M5jGgWc/DBB2d93m233YYbb7wRS5cuxf7775/zdb755hs0NjZi6NChfT7u9/tRXl6e8WMEHdEEYgkZgH2byVWX9HOhnIgD3S3KbbsKlbzHU9nT/jnnqNteKDq7mdzO3iMgbHNHSfVO3iNjV2VXO9cTQgghZmB41/f58+fjoYcewmOPPYaVK1fikksuQUdHB+bOnQsAOPfcc7FgwQJt+1tvvRXXXnstHnnkEYwePRr19fWor69He3s7AKC9vR0/+clP8L///Q/r16/HsmXLcNJJJ2H8+PGYOXOm0W+nX0SUzudxIejtXT9nB/ptptUdTt227Xiq7KnX3bEEIvEkAPsKlapcNep2F4r51qjbtJlcTvs7pvTAmXPUxbpaumJIJOXeGzjl+I93A9FOa9diM3alcz0hhBBiBobXqM+ePRvbt2/HwoULUV9fj2nTpmHp0qVa05mNGzfC5Ur5Cx544AFEo1GcfvrpGfu57rrrsGjRIrjdbnzyySd47LHHEA6HMWzYMBxzzDG48cYb4ff7jX47/ZI+w1iSJEvXko2q/po5CfHrrwDcNm1fEMoeURcixeOSUOq35/qr+6vRleXU/8CuQjG9R0AyCbgyfX3hDntPPRD274gmEIkn4Pf0cKg5TSj6QhkP232OunCgybIi1qt7lgjZPaLuKwVcXiAZU5xVPey/K7MrnesJIYQQMzBFzcybNw/z5s3r87Hly5dn/L1+/fp+9xUMBvHSSy/ptDJ9sXsjLSCtRrev1HftIrnSvAUVSrpQlGUgzSHSnCYS7eooqVQjzd2xJLpjCQTSMy8irUAyrty2rVBU1yUngUhLRuZFNJ5EW0RZf7VNPwNlAQ9cEpCUFVFbW55m/3gUiCrRPNtmlPQjFKPxJNpV+9v1O8jrdqEs4EFbdxzNndFMoS7L9neUSJKytvYGZa2VI61eka3YVc71hBBCiBkYnvq+K2H3+mggVaPb2h1DPJHMfNDuF8lAam3xbiCWmXqaqo+2r/3L/B54XIoToVedrkgn94YAb9DkleWJx6+IRaBXVkO4S3k/kgSUB+35P3C5pLTJBz3sL45/yQUEKs1dWL4IoQj0Sn93gv2BfsoPIm0pR5VdI+oAZ6kTQgghxBQo1HXE7h3HAaAymJl6moHd004BRSS6Vfv2uFBudoD9JUnSHDkiA0DD7vXRgizlB+L4rwh64XbZM6MBSGvo197TUaK+n0Blr5R+W5GlT4Bj7J8tq0c4HjwBe6eU5+jTQAghhBCiBza+GnUedm/kBAAeNfUU6OdC2c4RdUnKOkvdCRkNQD99AjT72zTtWpCl87iIkNrZUQLkIRTtfPwDWSO6jrF/ts7vTnAUAqnPZx8NLQkhhBBC9IJCXUfs3shJkFUoOuZCOVtE1yFCJVtDOafZv5ejxN6jwQSV2VLfHWf/TKHoFPtnTX13uKOEEEIIIURPKNR1xAnN5ID0iJbDI4rZhKJNR4MJKnfSiK5zHCWK/bNnNNjc/qG+MxqcYv+sx79W+mHzjBKR+s5Z6oQQQggxEAp1HXFOREvUSDs8otirRt0ZQkXLaHC6/XsIlSaH2b+3UHSI/bOlvjvk+6fa6RH1LI4SQgghhBA9oVDXEadEtLJ3vVYjWo65UO67mZndSw9ExH/ni6g7xP65ur7b3f5ZIrpO+f6pdHqNOlPfCSGEEGICFOo6okV0HZt67ZDU0yyp72EHNPMD+usRoEbohBCzK1mEotbMrMTu9hep705Nvc7SzM8B4wmBVES9l/0d7ighhBBCCNETCnUdCXeI1FN7C5XqnM3knCJU+o7oVtp4hjSQ3nXcoRHFrKUHzki9dnxEPWfqu72/f8Tx36uZYpfTxhMy9Z0QQgghxkGhrhOxRBJtkTgA56SeNjm2RrTvOcapjAZ72z9rjbRT7C8cOY5vJufQGnXt+Hem/Sud7ijUHCUcz0YIIYQQ46BQ14mWrtRFf4VDIroZQiXaCcS7ldt2Fyp9pL4nk7L2P7B7RDf7HGmHRRSdOsc+q/2dUnrQ/9QD26e+p02dkGU59YBTHFVifdE2IB7tf1tCCCGEkAFCoa4TIjpUHvDA7ZIsXk3/9NlMTlwkuzyAv8yCVRVAH6nXrd0xJNVr/sqgvSOKWbvua0LFKRHFJiBNaAmhWG3zjAbhSGjpiiGRdLJQbAfiEe1up/RoEPZPJGW0dsdTDzgloyFQAUjqqbOLUXVCCCGEGAOFuk5o0SybixQgS+p1+kWyZG9HQyqinrpIFu+l1O+Bz2Pvw1oIqdbuOOKJpHJnrAuIdSq37S5UhFBMRLQ1J5Oyc1KvVUeOLAOtIhMmmXROjbQ/TSiqn1tZllNd923ezDLgdSPodQPokf7ulKkTLjcQqFRus06dEEIIIQZhb0XjIER01O7RLCB1IR/ujKZST50STQRSa4y0AglFnDgl7RrIbHanlUwIR4nkViJ2dsZXCrjV41xdd1t3PJXRYPP/gc/jQqnfAyAtqyTSAsiq08TunwGXK1XHrX5u2yJxxNV/gN0dJUBm+jsA5XMcaVVu291RAmQtPyCEEEII0QsKdZ1wygxpIHUhH0/KWgM8x6SdApmpp+q6nRLNBQCP24WygBCKqlBJd5TYPaNBktLS35WIohC8IZ8bfo/bqpXlTa8RheL495YAHr9FqyqAHg3lxMSJgNeFgNdB9hflH1p2jAQEKy1ZU0FkaehHCCGEEKIXFOo60ewgoRjwuhHwKv96cYHvqIh6euqpuu7mDmc0khP0mqXuJEcJ0Cui6KTjH+jD/k5JuxZkcZQ4zf7NPY//QIXy+bY7PexPCCGEEKI3FOo64ZQZ0oLqnhfKWn2uzRuZCXo0lHOcUOmZ+uskRwnQa5Z32GHHf9aIutOO/x6OEieU3gA7wfHP1HdCCCGEGAyFuk44KfUaSF3QN2kRLYcJ9R4j2pxUegD00fndcRF1USOtHDdN6vuwe8d3Qe+IusOEYhZHCY9/k+hj8gQhhBBCiJ5QqOtEKqLrkAvltIZyAJwnVLQaUSX1NNzlsIhir4wGh4xmEwT7zmhwiv2re85Sd5xQzHSUOC2jpDLr8e8Q+/cxeYIQQgghRE8o1HUilfrujAtlTSh29Ez9dciFcq/Ud6enXjtkNJhAOEocmtEg7N/kxB4NgONLD8RxEu5VeuAQ+4dYo04IIYQQY6FQ1wmnpb47P/U3czyV4+0vLviFALY7ob6bmTnNUbWzNPMLO2g8IdBfRolD7B9k6jshhBBCjIVCXSecFtEVEa0mpwsVNRLtvK7vIqK+cwgVp0bUdxb7N2v2d4ajJHszP4fYP8TUd0IIIYQYi8fqBewMyLKciug6pJlWqkbUoam/vVKvHRZR79n12rFCxaFd97WIemH2TyQSiMViRi4tP/w1QOlIAD6guxtIRDG8zI3BIRe6u7utXl1OKn3A8DI3/Igr641DeT+hOuX92B1PpbJeKVDQer1eL9xuB4yfI4SQXRjbnOtVIpEoXKUjU7c9DjhPpuH09ReKnud6CnUd6IgmEEvIAJwTUcxoJpdMAF1h5QGnCMVec6SdFVFM9QjYOSK6ouu7UxxVhaZey7KM+vp6hMNhE1aXB4ky4NA7AMkNrFuH0yb4cMLYIRjkbce6deusXl1O3IkkFh05BC4Jynp3OwMYdgLgGwQ4YP1IQrE/JODrrwFJyvuplZWVqKurg1TAcwghhBiP7c71KslkEq5D71Bu12+Dy7XD4hUVhtPXPxD0OtdTqOuAEFs+jwtBrzOiJZXpEcXuFgCKo8Ex49nSUk+7Ywl0xRIAgMoSZzhKdrbUX+emvscgyzKkHM38xIl7yJAhCIVC1ousRAxojCu3B4+GvL0DsWQSI6tDCPns/7WeSCaR3NYOABg1pAyu5iSQiACVowBficWrywM5CWxXnTyDdgNcuW0uyzI6Ozuxbds2AMDQoUONXCEhhJACsd25XiWRiMPdGFFu14yC223/83w6Tl9/Ieh9rt95LWUi6SLFLh/qXGSk/oo6S18Z4HFGRDQ9oivs73FJKPM745BOb2YmJ+KQuluUB5wSURelB5FWIBFzXuq7GvmPxpPoiiUQ6mc8XiKR0E7cNTU2afYn+4AW9bvG54Xs9kJyySgJBuF3gLNQlmW4PDHIkOHx+eFzJ5WodCAI+AJWLy8/vG5FsPu8gMef11OCwSAAYNu2bRgyZAjT4AkhxCbY8lyvkkjE4fYo5/xEIOA4oev09ReKnud6NpPTAaeJFACoDKY109KiuQ6JpgNpXd+b0dyheOkqHegoiSdldLTsgOMyGgIVABRbd7VsRySeBOCcZn4lPje8bmX9za1tQKxTeaCPiLqoUwuFQqatLyeSS/kBkEzGkZCV48ftcsbxL0mSttZEMqmU3wB5RaZtg6SeeJPxgp4mjiM71T8SQsiuji3P9cSx6HWup1DXgWaHjUYCUkKxM5pArF2tFekjmmhbRORZTqC1RalTd8poMAAI+tzwe5SPX1tTg3KnvwJwO+QYcrmBYCUAoK1ZWb/HJaHUIRkNkiRpx0tb0zb1TrfqgMj+HFuhitpkInUScIpQB1JrTSQS0BxVLgdFmIVTQTgZ8sR2xxEhhBANfkcTPdDrOKJQ14GwwxqZAUBZwANxTd/Zsl254ZT6aEBJNfUqtaxdYWX9TqmPFojjpSOsCkUnOUoA7XjpUO1fGfI56gQnjpcuzf7VBTUFsxxV1CYTSkTX7ZIcZX+P+gUk1g9IDhPqA4uoE0IIIYTkA4W6DqQi6s4R6i5XKqLYLYS6U+qjBep6I61KRoCT7A+k6qS71fU7ylECaPYXx0+1Qxr5CcTx0tXqQEcVAEgioq4IRY9L36/z9evXQ5IkfPTRR3k/Z/HixaisrMxrWxFRl4VQz5L2PpB1mIIWUadQJ4QQ4kyMPtcbuY5dAQp1HXBax2uBSNWPtSmp444TKmo9d7RNFepBZ9lfHC9RIdSd5ihRjxfN/k5zlGjHv0PtrwpFOS2i3hebNm3CD37wAwwbNgw+nw+jRo3ClVdeicbGxn53P3LkSGzduhV77bVX3kuaPXs2Vq1alde2Hk2oq6n7TqpPBwac+k4IIYTojV3P9aQ4KNR1wInN5IDUepMd6ofYaUJFXa9Yv1NmeAuE/RMdDnWUqJ3fE+2q/R3mqHK8/XukXnv6EOpff/019t9/f6xevRpPPPEE1qxZgwcffBDLli3DwQcfjKampj53HY1G4Xa7UVdXB48nfwEdDAYxZMiQvLZ1q838ZK2RnIPS3oHUemVG1AkhhFiHnc/1pDgo1HVAzMJ2UjM5ICWs5C6HzfAWqOsV63ea/cV6ZdF136GOErF+pzmqtAyAzuyj2WxNj4huXxH1yy67DD6fDy+//DIOP/xw7Lbbbjj22GPx73//G5s3b8YvfvELAMDo0aNx44034txzz0V5eTkuuuiiPtPQ/v73v2PChAkIBAI48sgj8dhjj0GSJITDYQC90+EWLVqEadOm4c9//jNGjx6NiooKnHXWWWhra9PW++9/v4JvnfwDVI7bDzU1NTj++OOxdu1a/e2lN8L+CUbUCSGEWIedz/WCpa+9iW+d/APU1Axy1rneYijUdSDs0Ii6ECrubnWOukOFoli/0+wv1uvS7G+vuZ05UUsPXN3CUeI0+yuOEs3+eTqqZFlGZzRuyY+sjmFTFp4ZUe8p1JuamvDSSy/h0ksv1WZ6Curq6nDOOefgqaee0vb5m9/8BlOnTsWHH36Ia6+9ttf7XrduHU4//XScfPLJ+Pjjj3HxxRdrJ//+WLt2LZ5//nm88MILeOGFF/Cf//wHt9xyi5YB0NXRjvkXnYP3XnsBy5Ytg8vlwimnnIJkMpnX/8MyGFEnhJCdGqvO9xnn+hzY/Vwv6OjsxvyLzsHbb//PWed6i3FYUaA90WrUHdZMSwgVT7RFucOhEXVPJAzAeanXIqLujQih6LCIbsjZ9heOErH+fB1VXbEEJi98yaBV9c8XN8xEyKd+basRXUlWIro9U99Xr14NWZYxadKkPvc1adIkNDc3Y/t2pZneUUcdhauvvlp7fP369Rnb//73v8fEiRNx++23AwAmTpyIzz77DDfddFO/a04mk1i8eDHKysoAAN///vexbNky/PSXiwAAJ37nGFTKLUBpLVA+DI888ggGDx6ML774oqCaOdNhjTohhOzUWHW+zzjX58Du53rxvNOOOxoAkKgdD7fb45xzvcUwoq4DTuz6DqTW64+FlTuclvqrCit/THE0OM3+Vb3s70xHiVi/03oECEeJZn+nOapUoeiSs6e+A8jbM7///vv3+/hXX32FAw44IOO+Aw88MOd+R48erZ24AWDo0KHYtm2btt51a9fi7EsXYOzUg1FeXo7Ro0cDADZu3JjXui2DXd8JIYTYBLue6wWrv96Isy9dgAkTdnfWud5iGFEvkngiibZu5ULNaV3HhVAJxVuVO5wW0VXXG4wrQt1pqe/VqrANxB2a0aA6Fpxqf+FY0I7/PB0lQa8bX9ww06hl5XxtDTX1Wsoi1MePHw9JkrBy5Uqccsopvfa1cuVKVFVVYfDgwQCAkpISQ9bs9WZ+L0qShGQyqWUAzJ5zMcaMqMVD996JYWP3QDKZxF577YVoNGrIenRDEqUHjKgTQsjOiFXn+4xzfQ7sfq4XnDDnKowaUYcHH3wQI0eOdM653mIo1Isk3BXTblc4TKhXhXzwIwq/3K3c4TShqK63NKkILaelXgtHSWlCbbbhtIi6WlMv1u80+wvHQklSOKrys78kSXmnpBmKGtF1o+/U95qaGnz729/G/fffjx/96EcZtWv19fVYsmQJzj33XEhS35H4nkycOBH/+te/Mu579913B7x8t0tCuLkJq9euw8O3/wKHHX0UEKjAG2+8MeB9moqIqMsJQJaBPO1ICCHEGdjmfN8Pdj/XA0BjYyO+WrseD93+Sxxy9FFwuz3OOddbDFPfi0Q0kisPeOBxO8uclSEvKtGu/CG5gUCFtQsqFFXYVknKe3Bm6ruMCrkwoWgb1PWWoxUSkg60v+JYqJAd6ihRI+ouyHBBhtvV+/vn3nvvRSQSwcyZM/H6669j06ZNWLp0Kb797W9j+PDhOWvO0rn44ovx5Zdf4mc/+xlWrVqFp59+GosXLwaAvC8A0nG7JJRXVKKmqhJ/+MtzWPP1Brz66quYP39+wfuyhPRxckx/J4QQYhF2PtcDQFVVVepcv2aNs871FuMsZWlDmrVGcs4SKYAiFIXIRbDKeREhNfW9Eu0o8bnh8zjrcK4K+VCCbnglNXXWaUJRdN2HjDJ0Oi6iXhH0woUkKtCh3OE0R4nkhqhIcyPZZ436hAkT8N5772Hs2LE488wzMW7cOFx00UU48sgjsWLFClRX5/+ex4wZg2effRbPPfccpkyZggceeEDrBOv3+wtevkuS4HG7seT+W/D+pyux174H4kc/+pHWwMb2SBLT3wkhhFiOnc/1AOByufDk/Tfj/U9XYurUac4611uMvfM5HEBzhzMbyQFCqCvRRDlUDYfJdE0olkrdGBRw3OpRFvCgRtjfHYDkDVm8ogLx+CF7Q5BinaiW2h1X+uFxuzA8EIFLyF2n9WiQJCX9OhmHG4leqe+CUaNGad7wbPTs+goojWF6Nqc58cQTceKJJ2p/33TTTRgxYgQCgQAAYM6cOZgzZ472+KJFi7Bo0aKMfVx11VW46qqrAAAeFzDz/w7EF8v/H1C7N+BWTknpr9vXOmyDy63MUWdEnRBCiIXY+VwPADP+bzq+WP7/kKjdG26nnesthEK9SLTRbA6LJgKZqe8Jf5XzDgZ/BWTJBUlOYmSw2+rVFIzLJSnrTgLxQCW8TstoABD3V8Eb68QIf7fjSj8AYLdgN9AFJLylcHuc52yTJTckxOGVknBlEep6cv/99+OAAw5ATU0N3nzzTdx+++2YN2/egPfnc8lAApABSK78m+fYBpcHSEQZUSeEELLToPe5ngwcU66s77vvPowePRqBQADTp0/HO++80+/2zzzzDPbYYw8EAgHsvffevZoayLKMhQsXYujQoQgGg5gxYwZWr15t5FvIihjN5rSO1wAQ8LoxxKOk/UZ9ldYuZiC4XIh6lbr6Ef4uixczMMS6HWl/pNY93N9p7UIGyHC/4uARx5HTkNXUa6+UzLGlPqxevRonnXQSJk+ejBtvvBFXX311Ly96IfjUdcuS23mlN0BaQzlG1IGd+1xPCCG7Cnqf68nAMVyoP/XUU5g/fz6uu+46fPDBB5g6dSpmzpyZMVsvnbfeegtnn302zj//fHz44Yc4+eSTcfLJJ+Ozzz7Ttrnttttw991348EHH8Tbb7+NkpISzJw5E93d5kdVRY16pQMj6gBQ51WEYren3OKVDIwujyKw6rzOFIpDVfuL9+E0uryVAIChPmc6Soaqx02XQ4V6Ugh1lzlC/Xe/+x22bNmC7u5urFq1Ctdeey08noHn4ggHQxIOjKYDqYZyTH3f6c/1hBCyq6D3uZ4MHMOF+m9/+1tceOGFmDt3LiZPnowHH3wQoVAIjzzySJ/b33XXXZg1axZ+8pOfYNKkSbjxxhux77774t577wWgeNjvvPNO/PKXv8RJJ52EKVOm4E9/+hO2bNmC559/3ui304uwgyPqADDEowiVdrczhXqHuu5ajzOFurB/h+Pt32HxSgaGOG46XM60vybUYY5Q1xuPEOqSU4W6euHC1Ped/lxPCCGEmI2hQj0ajeL999/HjBkzUi/ocmHGjBlYsWJFn89ZsWJFxvYAMHPmTG37devWob6+PmObiooKTJ8+Pes+I5EIWltbM3704tsbf4fnfddij64PddunmQxyKzXqbVKZxSsZGGLdg9zOFIop+ztTKGr2dznT/jWq/VudKtTVSLTHpNR3vdGEukMHkHQnlHT9zu6IxSuxll3hXE8IIYSYjaFXRzt27EAikUBtbW3G/bW1taivr+/zOfX19f1uL34Xss+bb74ZFRUV2s/IkSMH9H76oqZrPaa51mJwcodu+zSTKkkRWGGUWrySgRGGIhQrJWcKxWp1PJ54H05DrLvK1W7xSgaG0+0fV7/C3XBmRNejrjvu0NT3uKyeQnfx1Pdd4VxPCCGEmI0zwxgFsmDBArS0tGg/mzZt0m3fu40YAQAYW+rMiEqFrIwHa0o6U6g0JUsAABVwZuSkAor9G5POdJQ0Cvurx5HTqJCV46bJofZPyIrAdTs09V2sO+HQU1GXqwQbkkPQ4Rtk9VIIjD3XE0IIIWZj6NXRoEGD4Ha70dDQkHF/Q0MD6urq+nxOXV1dv9uL34Xs0+/3o7y8PONHL6oHKa/pVKFSmlSEyvaEw2Z4q2xPKEKxNEn7W8H2uLC/Mx0l4rjZph5HTiPm8Ii6S1bWHZOdKdQj8KAFJUh6glYvxVJ2hXM9IYQQYjaGXh35fD7st99+WLZsmXZfMpnEsmXLcPDBB/f5nIMPPjhjewB45ZVXtO3HjBmDurq6jG1aW1vx9ttvZ92noQSrld+dTea/tg6EEi0AgPq4M4VKQ0wRuCVxZwrFkLpu8T6chjhuQgmH2l89/htizhRaIvVaCF6n4RKp7w4V6omkDABwmzDD3s7sEud6QgghxGQM77U/f/58nHfeedh///1x4IEH4s4770RHRwfmzp0LADj33HMxfPhw3HzzzQCAK6+8EocffjjuuOMOHHfccXjyySfx3nvv4Q9/+AMAQJIkXHXVVfjVr36FCRMmYMyYMbj22msxbNgwnHzyyUa/nd6EVKHe5UChnkwiEFME1taoM4XK1mgQcAH+WNjqpQyIgLruzVFnCvUt6nETcKz9FaG+xaH2j6oCVxqAUJ8zZw7C4bClHbSFgyHqUKEeV4W6J02o28GuVrDTn+sJIcSh7KrnJaMxw66GC/XZs2dj+/btWLhwIerr6zFt2jQsXbpUaxCzceNGuFypi7RDDjkEjz/+OH75y1/immuuwYQJE/D8889jr7320rb56U9/io6ODlx00UUIh8P41re+haVLlyIQCBj9dnrj5Ih6pAWSWiO6qdsC2xVJNJ5EfTwE+ABvNGz1cgaEWPc3DrQ/kFq3N9Js8UoGhjcSBqC8D1mWIUnOiozGksp6JTkByDKgrj/X+7juuutw1113QZZlw9fYk+XLl+PII4/U/h5UXYk9p+6Lu373O0ydOsX09RQDI+opdvpzPSGE2BCnne/3P/Ag3Hbbbdh7771NX48TMWV6/bx58zBv3rw+H1u+fHmv+8444wycccYZWfcnSRJuuOEG3HDDDXotceCEqpTfXQ4UKuqaO2Q/dnRZvJYBEO6MollWmuC5uh1o/3gUrpjSrX5jdwCJpOyoC35ZlrGhKwD4AFciAkQ7AZ+DItOyrB03O5Kl6IgmUOo35StRNyJJFyABEqDM8nYr69+6dau2zVNPPYWFCxfiq6++0u4rLS1Faam1DfS++uorlHVvxtatW3HZjQ/ghBOOx5o1a+Dz+SxbUywWg9frzXt7CvVMdupzPSGE2BAnnO+/+OJzVEU2Y0vDdvz41j/iuOOOc9z53iqcmW9oJ5wcUe9UREozyhDujFm8mMJp7oyhWVa+fKSuZiWi6CTUcomELKFFDqG1y1n/g9buOFqSAcTUzuOOK/+IdUJKKNMamuVSNHdELV5QYSRlGQlZOX4AAHJqRFhdXZ32U1FRAUmSMu4rLS3FnDlzMlKIjzjiCFx++eW46qqrUFVVhdraWjz00ENa+nJZWRnGjx+PF198MWMdn332GY499liUlpaitrYW3//+97FjR+5xlUMGD8bQQVXYd+9J+P75P8SmTZvw5Zdfao+/8cYbOOywwxAMBjFy5EhcccUV6OhQHFvXXHMNpk+f3mufU6dOzRB1f/zjHzFp0iQEAgHsscceuP/++7XH1q9fD0mS8NRTT+Hwww9HIBDAkiVLsGHDBpxwwgmoqqpCSUkJ9txzT/zrX/8CACQSCZx//vkYM2YMgsEgvvOt/bDk4QczUt8JIYQQs3DE+X7IENQNGYR9956EK664wpHn+4kTJ+Kuu+7K75+iIxTqxeLkGnV1zS1yCdojcUTjzhrx1NwZTc1/T8aBiMMamnU2AgBaUAoZLjR3OksohjujAKTU/8Bpzip1vTF40IFA/s4qWQaiHdb8pDmjRDQ3IWaQJ4tvKPfYY49h0KBBeOedd3D55ZfjkksuwRlnnIFDDjkEH3zwAY455hh8//vfR2dnJwAgHA7jqKOOwj777IP33nsPS5cuRUNDA84888w87JgEIKOltQ3//PvzAKB519euXYtZs2bhtNNOwyeffIKnnnoKb7zxhhatPeecc/DOO+9g7dq12u4+//xzfPLJJ/jud78LAFiyZAkWLlyIm266CStXrsSvf/1rXHvttXjssccylvHzn/8cV155JVauXImZM2fisssuQyQSweuvv45PP/0Ut956qxaNSCaTGDFiBJ555hl89tnnuOiqn+DuW2/Ec88+W4zZCSGE2BGrzvcmBJ5MPd+rtLS24emnnwLgrPP9F198gYULF+Kaa67B008/PUCLDwxn5XnaERFRj3c7L/VXFSrNqtAKd0UxpMw5tX/hzigi8KEbfgQQUd5PoMLqZeWPav82lzJCqNlhWQ1ivW2ucgyWW5znrFLX2yaVAZDyd5TEOoFfDzNuXf1xzRbAp3Ta14S6pPpbk/Fsz8qbqVOn4pe//CUAZSb1LbfcgkGDBuHCCy8EACxcuBAPPPAAPvnkExx00EG49957sc8+++DXv/61to9HHnkEI0eOxKpVq7D77rtnfa0Ru40C5CQ6OpW6m2OPOx577LEHAODmm2/GOeecg6uuugoAMGHCBNx99904/PDD8cADD2DPPffE1KlT8fjjj+Paa68FoJyop0+fjvHjxwNQ6vLuuOMOnHrqqQCULuJffPEFfv/73+O8887T1nHVVVdp2wBKLfVpp52m1c+NHTtWe8zr9eL6668HoPTIOO6UM/HJ++/h2WefwVlnzS7U3IQQQuyMVef7tHO9UZh5vh81anTG+f7EE0901Ple7HPFihV4+umnC3JOFAuFerH4ywCXR7lI7mpyllBXhUqHKhTDnTFHCXUhFDvc5Qgktqs192OsXVQhqPbvdKtC3WGp10LYdrgrgPgmLUPAMaiOkg5hf4dlNIiO40ktol68UJ8yJdXMze12o6amJqPhi2gMtm3bNgDAxx9/jNdee63P+re1a9f2e+L+76svI9TdgDc/+Bw33PMYbr/zHu2xjz/+GJ988gmWLFmi3SfLMpLJJNatW4dJkybhnHPOwSOPPIJrr70WsizjiSeewPz58wEAHR0dWLt2Lc4//3ztogMA4vE4KioynXn7779/xt9XXHEFLrnkErz88suYMWMGTjvttAy73HfffXjkkUewceNGdHR2IRaLYp9p07K+T0IIIcRumHm+X778NZR1foP/ffApfv3AEjz44IPaY04533d1dSEajWKayed7CvVikSQlqt6xTbnwrxhh9YryRxUq3Z5KAM4Vit3eSiCx3XkRXdX+XV7li8RpQjEs7O+pAOJwXuq7erx0C/vne/x7Q4q32wq8KUegiKgnJTcgQ5fU956NVSRJyrhPdJdNJpUymfb2dpxwwgm49dZbe+1r6NCh/b7WmN1GoDIZxJgJE/HZjiQuOO97WPHmG9p+L774YlxxxRW9nrfbbrsBAM4++2z87Gc/wwcffICuri5s2rQJs2fP1p4PAA899FCv2ja3253xd0lJZtTiggsuwMyZM/HPf/4TL7/8Mm6++WbccccduPzyy/Hkk0/ixz/+Me644w5M3Xd/NMc8+Msf7sWXn37Q73slhBDiQKw633uND/qZer4fMwY1EQ8mjh+N+ogfs2fPxuuvv67t1+7n+4MPPhhlZWW4/fbb8fbbb/f7XvWGQl0PQqpQd5pQVNcb8Qmh6KzUa1FTHPWWA93QmuM5BtX+MV8lADiuoV9zh2p/X6Vif6dNPlAdC1HV/nkf/5JkeEpaPiTUk6cseVShXnxEvVD23Xdf/L//9/8wevRoeDwFnk5Ux4IsuTH7vAvw6H134q9//StOOeUU7Lvvvvjiiy+0tLa+GDFiBA4//HAsWbIEXV1d+Pa3v40hQ4YAUCIBw4YNw9dff41zzjmn4Pc1cuRI/PCHP8QPf/hDLFiwAA899BAuv/xyvPnmmzjkkENw6aWXoqUzig1Nndi0YV3B+yeEEOIAbHK+twNFne/TuPTSS3Drrbc66nwvSK+TNws2k9MDp3Z+V9eb8Csj5sIOi+iKCGgiIEbkOdv+Touoi/Vq9nfa8a86FuIOPf5F6rvs0q+ZXKFcdtllaGpqwtlnn413330Xa9euxUsvvYS5c+cikcixHiHUXW4EgyGc9f05uO666yDLMn72s5/hrbfewrx58/DRRx9h9erV+Nvf/tZr9Nc555yDJ598Es8880yvE/T111+Pm2++GXfffTdWrVqFTz/9FI8++ih++9vf9rusq666Ci+99BLWrVuHDz74AK+99homTZoEQKmde++99/DSSy/hy69W4d7bb8KnHzGaTgghZOemqPN9GqFQCBdeeKGjzverVq3Ctddei3fffTfv96kXFOp64NTO7+p6k0EhFB0W0VXXKwec7ShJqo4e59lfFbZBZztK4NDjX6S+Q1I92xZE1IcNG4Y333wTiUQCxxxzDPbee29cddVVqKyshMuV4/Qi1quu//vnX4yVK1fimWeewZQpU/Cf//wHq1atwmGHHYZ99tkHCxcuxLBhmU19Tj/9dDQ2NqKzszNj9AygpLT98Y9/xKOPPoq9994bhx9+OBYvXowxY/rvY5FIJHDZZZdh0qRJmDVrFnbffXdtzMvFF1+MU089FbNnz8bMIw9DS3MTzv3Bhf3ujxBCCHE6RZ3vezBv3jxHne+nT5+OxsbGjOi6WTD1XQ+EUHFa6rUqVFyhGgBK13cn0aKuVypxtqPEVaLa32ERXSFsJXX9jmsmp9pfUo9/p2U0JBKqUHf130xuzpw5mDNnTq/7Fy9enPH38uXLe22zfv36XvfJPcbGTJgwAc8991yu5WocccQRyj5aNgEdXYBbOQ0NGTocsVjKWXLAAQfg5Zdf7ndflZWV6O7uzvr4d7/7XW18S09Gjx7d670AwD333NPH1gp+vx+PPvooHn30UWwNd2F7ewSDy/wYWvEbbZuediWEEELMwK7n+0QiDjRs0u4fOXKko8736dx8883abTPO94yo64FjI+phAIBbCMUOZ0UUhVD0aELRYfZX1+spdaZQFI4FsX6n299pPQJE6rvkFhF181Pfi0JNlZNUR4OWIeAQhP3dLsnilRBCCCFkZ4RCXQ+cWqOuOhZ85c4Wir7yQcodjnOUKOsNqOtvdpqjRF2vv3ywcodD7e8rU+3vsOM/0Uuom5/6XhSysl6XW+kyG1eb4zmFBIU6IYQQQgyEQl0PnBhRj0eBqDLSIFihCBUnRRRlWdbWGxRC0WmOEnW9wQqlc6XThKJwlIQqhP2dWfoRVNfvpOMfSEV0XUKoyw6LqKuOBeFoSCTlPlPT7Iqwv0eiUCeEEEKI/lCo64ETI+rCqSC5UFrhvIhiWySuXSiHqhwY0U0mge4wAKCkKiUUnSRUmtTjpbRKcTQg0gIkHBTVVY+X0qpaAEB7JI5o3DlR3YQm1NW5p3JSOa6cgpqqrzka4Kz091REnadRQgghhOgPrzD0wIkRdeFUCFSissQPwFldr0U9fdDrhr/MgRHd7rAirABUVCtCMZpIojPqjKhodyyB7piy/vLqwakHnDJLPREHulsAKI4GERR1SkNFWZZTQtHtTnvAQY4SIdRdHrjVf4AjhbqbEXVCCCGE6A+Fuh44OaIeqkZVyAdASWV2SkRXRP+rQt5U1/1oG5BwiLNBHCu+MoSCQfjcykfRKVkNYp0el4SyYAAIVCoPOKXze5pDwR2qQkVQiUr3l/6etFG0OinLkKGmXrtcgMthDeXkZCpV3+XR6rzjDhHq6Y6SQlPf7XQcEUIIyYTf0UQP9DqOOJ5ND0REvbtFuVB2ufvf3g5oM6RTQj2elNEeiaMs4LVwYfkhhGJlyAcEKgBIAGRFgJUOsXRteaE5SqogSRIqQ15sa4sg3BnDiCprl5YPopFcZcgLSZKUz0B32DlZJWKdgQrA7UFVyIdwZwzNHb0dJT6fDy6XC1u2bMHgwYPh8/mU92wh0XgCcjwKSZIQjUaAhAQkZKCrU7ltdxIxIK6K8mgMSMQgxxPo6uqCW7b/908imUQyHgEAxKIRJOK5bS7LMqLRKLZv3w6XywWfz2f0MgkhhOSJHc/1gkQiDrd6zkx0d8PtdpZ8c/r6C0Hvc/3OaykzEdFEyIpYF8LdzqRF1IM+N/weFyLxJMKdMUcIdRH5rCrxKo6RYKUi0jubnCHU0xwlAFBd4sO2tohjIurhdEcJoL6Pr52TVdLD/pUh5Zjvq/zD5XJhzJgx2Lp1K7Zs2WLaEvsjGk9iW1sEbpcEb2cAaN8BxCNAWAa8IauXl5tEDGjbDkguoGM9drRH0B1LIt7iRchn/9NSPJHEttYIXBLg6woW9NxQKITddtsNLta2E0KIbbDjuV6QTCbhat2u3G7zO+784fT1DwS9zvX2vyJyAh4f4CtTUq87m5wh1HsIlaqQD/Wt3Qh3xjDSActv7ksodjU7L6IbyhSKTX1EdO2IELTVwv5O69PQw/7p5R994fP5sNtuuyEejyORsD69/J11TVj02icYM6gEfzxvEvDCvcD6/wBHLAB2P83q5eVm84fA0quBipHA9/+KJS98gde+2oYfHj4OZ+w/0urV5eTLra1Y9LcPMLjUjycvnpz389xuNzwej22iNIQQQlLY7Vwv6OpoQ/DF2crtua8hWFJm8YoKw+nrLxQ9z/UU6noRqlKEukOFSmXIi/rWbsdEdIVQrFIFLkLVQNNax0Z0U0LRGTX2TZqjRLW/0/o0FBBRF0iSBK/XC6/X+oyT5oiMzW0J7DbYi0AgoHyTt28COrcCgYDVy8tNtFFZb0UtEAjA5fVhc1sCDR1J5f3YnHC0FZvbEigv9ThivYQQQvLDTud6QTIeQaB9k3Lb73Pcecfp67eSnT/3wCwcJ1TUZlpqI7aUUHGGUBeRz+qM1Gs42FGivA/H2L9DNPPbNSLqdkPU0leVCEeV2tjAKV33HX78t3SpPRqC9rmQI4QQQsjOBYW6Xuw0QsUhEd2OHqnvIac5SoT9awCkMgOcYn8Rea4sSctoAJzT9b1XRoOzHFWa/Xs6qpx2/Pewv2OOf/X7p7qEDeEIIYQQYgwU6nrh1AtlVSg6LaKV0UwOcF5EXQjaHqnvzrF/j4i6dvw7M6JbpQqupg5nCMVw+nhCYKdxFDrl+G/qTE09IIQQQggxAgp1vXDahXIvoeiwiFbPZnIi9dcpjhKRohzKv0baTjQ7XShqEV3luHFc6rvWo8HhEXWHHv+9HFWEEEIIITpDoa4XTrtQdnhEK5xNqDilRreHUBQptH3N8bYjjheKWR0lTrF/ltIPxzlKHNojQMvooVAnhBBCiDFQqOuFky6Uk8mUUCmg67WdEDXqvcaDOUYoOruZlhZRL9nZhKIzjn9h/+qepR+OO/5FjwaHHf8dPTJKCCGEEEJ0hkJdL5x0oRxpAeSkctuBXa+7Ywl0xZT5lpW9atQdEFGX5Z2mmVZVX+PZZNmiVRVAtmaKXTHIDlh/c0ePZnLCUdIdVhxxdkeU3ghHlfo57o4l0R2zz+zabDQz9Z0QQgghBkOhrhdOGo8kRKKvFPD4AaSasjlBKIo1elwSyvwe5c6gsL8DHCWxTiARUW73EIrtkTiicXsLrXgiidbuOIA+hKKcALpbLFpZnvThKBEZJYmkrL03O5N1PKGcVMS63elh/zK/Bx6XBMAZUfUwU98JIYQQYjAU6nrhpIh6j4tkAKgIOif1NFWf64UkKRf3Ganvdo+ICvu7fYqzBEB50AvxVsJd9v4fiBnSQNocaW8Q8IaU23Z3lkTbgaT6HtTjJuB1I+h1A7B/VkkknkBHVIk6axFdT+pYsr2zML30Rk19lyQpVX7jgM77TUx9J4QQQojBUKjrhZNqdLW03yrtLnHB2dYdRzxh74huKu06LZolnA7JmCLE7Ex6x31VnbtdEiqCzshqEH0MygIeeNxpXyFOGdGmOUr8KecC0mep29v+4vhwScr/QMMpzsJIi5J5AaS+N5HKzrC7oySj9Iap74QQQggxCAp1vRAXyfFuINpp7Vpy0WOGOgBNJAJKna6d6dVxHAB8IcATUG7bXaj0qI8WaA21bN75PdXIrIdICTmk/CDd/iKNAc5p6JdeH+1ypdbvGPuLz6e3RCu9AZznKHG7JJSnO0oIIYQQQnSEQl0v/GWAS71os/2FcuYMdQDwuF3aRafdI1rpqe8ZBB2S1dBH6QGQLlRsbv+OHqPBBE6J6PbhqALS+zTY2/5NHTmOf7vbv0fau8B5jpK00htCCCGEEJ2hUNcLSXLQhXKWiK6Y5W37iFaWjstOGdGmCZWqjLtTI6rsbn+R0dBDKDql/KPHDHuBJhRtXiMd7iujBEizv91LD0TH957HvzMcJVkdVYQQQgghOkKhrieOEyqZQr3SIanXTWI0VUnPiKJDOu/nsr/dhUpWR4kaIRVCzK5kLT1whlDUGpn1LD1wyuSDrBklznBUNWdzVBFCCCGE6AiFup44LqLeI/XXIbO8e42mEjgmou5s+wuh4tjUa4cLxXBnlo7jTrF/luPf8Y4qQgghhBAdoVDXE6dF1LM1M3PqhbJjatRF6m+W0gObZzTkLD2wu/2zRNSdIxSzzPB2iv2zHf9OcVT1NXWCEEIIIURnKNT1RKSeOmU8Va8aXfVC2SFd33tFdJ0SUc+a+u6MrtfZU6+dbX/HC0WH299pjpJepTeEEEIIITpCoa4nTolo5RgPZvcaXS2im00o2r1GPYv9qx0iVBzfTC7XeDyb2785W+q74+zvzNKPrBklhBBCCCE6QqGuJ06IaMly1vFUWkTX5l2vtYhurxpdZzfTck5EMVdE1+aOkhwZDXYXis3Zur47zf5Zp07Y+/hvytYjgxBCCCFERyjU9cQJEa1oB5CIKLcdKBTjiSRau+MAdobxbD2FirOEYvbSA6d0fe8Z0bX/8Q+kOUp61ag7zVHVd+lNS1cMiaRs9qryJuvxTwghhBCiIxTqeuKE1GtxEe/2Ab6SjIeckHraklY/XxHM0vXazkIlEQMircrtLF3Hw51RJG0qVGRZzt1MLt4FxLpMXlkB5Gim2BlNoDuWMHtVedOcNaNEfT+xTiDWbfKqCiBb1/egYn9ZBlpt3Ccja+kNIYQQQoiOUKjridZMzsZCMT3tV5IyHnJCRFFEs8oDHnjcPQ7fkANSfzUnjgQEKzMeEhG6pAy0qVkDdqMtEkdcdSJU9xQq/nLA5VFu2/UzEI8A0Xbldg+hXhbwwO1SPhN2dVb1m1ESqAAkt3Lbrs4qWc7a9d3ncaHUrxw/tv4OYtd3QgghhJiAoUK9qakJ55xzDsrLy1FZWYnzzz8f7e3t/W5/+eWXY+LEiQgGg9htt91wxRVXoKWlJWM7SZJ6/Tz55JNGvpX8cELqe5ZoFpBZoyvL9ozoZk37BVIRxUgLkLCn0NVESrAScLkzHvJ73Aj5lPvsKlTCav+CoNeNgDdz/ZAk+/cJEA4EyQX4KzIecrkkVAZF532b2r+/jJJ0+9vVURLtABKqbfv5DrLr5INMRwlT3wW73LmeEEIIMQGPkTs/55xzsHXrVrzyyiuIxWKYO3cuLrroIjz++ON9br9lyxZs2bIFv/nNbzB58mRs2LABP/zhD7FlyxY8++yzGds++uijmDVrlvZ3ZWWlkW8lP7TU6zCQTPQSYrYgS9ovkIoQRRNJdEYTKPEbengMiH6jWcFKABIAWYlclw42c2n5kaWRn6Aq5ENntAvNnVGMRkmf21iJ1kgrW9pvsBro2G5fodiVllHi6u2nrAx50dgRta9QV9dVEfT2zigBlM915w4bO0pUR5XbD3hDvR6uCvnwTXOXbSdP9Oso2YXZ5c71hBBCiAkYpsRWrlyJpUuX4t1338X+++8PALjnnnvwne98B7/5zW8wbNiwXs/Za6+98P/+3//T/h43bhxuuukmfO9730M8HofHk1puZWUl6urqjFr+wNCaI8lAd0ufYthysjRyAoCQzw2f24VoIonmzqgthXrW0WCA4hgJVADdYUWo2FKoi7TfLEK9xIvN4S7bCkXhKMnaSMvuWSW57B/yAeiwbep7U0c/xz9g/8kT6aPxepTeAPaPqAsHQp+lN7sou+S5nhBCCDEBw640VqxYgcrKSu3EDQAzZsyAy+XC22+/nfd+WlpaUF5ennHiBoDLLrsMgwYNwoEHHohHHnnEHqnaHh/gK1NuO+FCuQeSJNl+RFXW0WACu3d+11Lf+3biaH0CbDoirzlXRF0IYLt2fs9SHy2w++QDsa7KXMe/bR0l/WeUVKY1VLQjwlGS9fjfBdklz/WEEEKICRgWMq2vr8eQIUMyX8zjQXV1Nerr6/Pax44dO3DjjTfioosuyrj/hhtuwFFHHYVQKISXX34Zl156Kdrb23HFFVf0uZ9IJIJIJKL93draWuC7KYBQFRBtc+yFclXIh21tEdsK9aZcQiVYDeBrG9u//4iu3YViU0cu+4saaZs29Mt5/NvbURXOp/QAsLGjKntGD2B/++d0lOyC7LLnekIIIcRgChbqP//5z3Hrrbf2u83KlSsHvCBBa2srjjvuOEyePBmLFi3KeOzaa6/Vbu+zzz7o6OjA7bffnvXkffPNN+P6668vek15EawGwhttfKHcf0S3ImTzZlq5Un+1iKJNhWKWGeoCpwiVasemvucQiiUio8Gex7+I6GYvPRDN/Ox6/GfP6AHs76hKjSbc+evTea4nhBBCrKVgoX711Vdjzpw5/W4zduxY1NXVYdu2bRn3x+NxNDU15aw3a2trw6xZs1BWVoa//vWv8Hr7vyiaPn06brzxRkQiEfj9/l6PL1iwAPPnz9f+bm1txciRI/vd54Cxu1DJcaGcEor2vFDut+s7YP+u145PvVYdJU6N6PYz9QBwTo101tIPu9vf4RkNOY//nQie6wkhhBBrKVioDx48GIMH527SdfDBByMcDuP999/HfvvtBwB49dVXkUwmMX369KzPa21txcyZM+H3+/H3v/8dgUAg52t99NFHqKqq6vPEDQB+vz/rY7rjlAvlXDXSNr1QTjWTyyFU7OooydnMzOZCJdcMabs7qvJqJmdfR5UoPcjeI8Ah9s/5/WNP++9KM9R5rieEEEKsxbAa9UmTJmHWrFm48MIL8eCDDyIWi2HevHk466yztC6wmzdvxtFHH40//elPOPDAA9Ha2opjjjkGnZ2d+Mtf/oLW1latxmzw4MFwu934xz/+gYaGBhx00EEIBAJ45ZVX8Otf/xo//vGPjXorhWH7C+X8mjnZ9UK5KVfqqe2byeXuEQDY2P4duTIanGL//jNK7Gp/4UDLmvpud/vnTH23d0ZD8y6U+p4vu+y5nhBCCDEYQ+dvLVmyBPPmzcPRRx8Nl8uF0047DXfffbf2eCwWw1dffYXOzk4AwP9v783D5Kjue+9v7z37otk00mgHiUUgJIwsTFgsBWS4MdjEBFsxkEuk2IZcY+MF/DrmxQvEhNgJPOTFuQ4Q3xiTkBe8EALIrF5kAUIyIAlZElrQMiNp9r23c/+oPtU90ixV3edUnUbfz/Po6dZMdc2vT1dX1fe3vvHGG3aX2AULFozZ1549ezBnzhxEIhE88MAD+MIXvgAhBBYsWIDvfe97WLt2rc634pwSv1E2PaLbM2UzOVmja+j6TzmezXpfXYbWSMvjon7CiHqpdH2fquu42cf/xOtf2o5C0zMaTqbUdzeclNd6QgghRDNahXp9fT0effTRCX8/Z86cMaNWLr744ilHr6xevRqrV69WZqNyTL5RTiWAxID1fMKuy+ZGdIUQOaE4Veqv6V3HJ0z9NdtRkuu6X6rN5Eo79drZ1AOY6ygs8fU/mVLf3XBSXusJIYQQzWibo37SYvKNshRPgSAQrx13E5NTT/tHU0hlrJu7KVN/TRSK6SQw2ms9L8HUd8tR4nA82EgvkE55ZJkL7K77k/cI6B1OIpMxb16z3aOhYgpHyUgPkMl4Y5Qbpph6UJt9XyPJDEaSaa+sckz3VI4qQgghhBBFUKirxuTxSHY0qw4Ijv/Ry5ROE1NPZTSrLBJCPBIafyOTa9TtYyIAlNWOu4kUAKOpDIYTZgmVgdEUkmlLvE7czC8vU2OkR79RbkglgNHsXOUpuu5nBNA3YpazKpMRU6e+S0eJyJi3/sCUPQKqYmGEgwEAZjqrpmxmSQghhBCiCAp11ZgcUZ8i7RowO/Xarg+dLJqVH1GfIrXSc2xHSS0QHN/RUGmwUOnOzvCOR4Ioi07gKAmFgViN9dy074B0lASCQLxm3E2i4SAqsu/NtKySvpEkZJB/wtT3cBSIVlrPTXMWJkeA5KD1fIJzUCAQyGX1DJq1/pmMsL+TE2aUEEIIIYQogkJdNSbX6E7RSA4AasqsG9C+kSTShqX+dk9Vnwvk3ls6ASQGPbDKBVM00gKkUDEz/b17qmiupNzQhn5jMkomcDTA3MkH0nFQEQ0hGp7k1F1maFaPXXoTmtBRAuQ39DNr/ftHUnmOEqa+E0IIIUQvFOqqkZGi1AiQGPLXluNxEFGXN6BCWHW6JjFlfTQARMqBUHaOrqlCcRKhDuSNCDMsojhlIzOJqZ3fh6c+/oFc/bdpQnHK0XgSKdRNy2iwj/96IBCYcLM6Q/tkSMdNeTSEWHhiRw8hhBBCiAoo1FUTqwKC2Wb6JSgUI6EgqmKW/cZFFAenmCENWALAzmowLKI4RcdriRRi5q2/w7RfU8s/HDtKsutvmKOkZ8hhx3FTs3ocOAoBkzMa2PGdEEIIId5Boa6aQMBcoWJ3XB5/NJuk1tCIouMbZeMjis4i6uatv8MZ0qYLxUlKPwCThaLD9Tf2/ONs/c09/mVGA9PeCSGEEKIfCnUdVDRYj6al/jqMaJkaUcwJ9SlulE0d0TbFaCpJbkSbYes/6HL9TROK+anXk1Bvp14bJhSdrr+xjhKXGQ3GHf/s+E4IIYQQ76BQ14HpNboOhWKXaUJlSKa+O2xmVqJC0dSIbtf7JfV6CqFYa6pQdJxRYqqjJOuoKpsio8fQ499RM0tCCCGEEEVQqOvAnuVtmFB3GNGSNcgygmcKjprJAXmOEtOEitvUd7OEouP1N7X0wGkzOWNTrx1GdE11lAw7c5SYevznph4w9Z0QQggh+qFQ10F5aae+SyFmWkS9y0kzOcDcjAaHEd06QyOKsuu48/U3TCg6dZRUGFr6MeiwRtrYiHppZ5Q4zughhBBCCFEAhboOTBWKDlPfbaE+YNaNsvOu14auv2uhaNb6S+E6dUaDoRHdkm8m53Q8nuHr7zijwSxHSY/THhmEEEIIIQqgUNeBFGKDx/y1I59MGhjusZ47jKibKlSmFuoyo8Gg9QdcCxXWSCumxEsPcqnXTtffsPGETlPfTT3/DDrsuk8IIYQQogAKdR2Y2PV9uAeAsJ47bCbXaVBEdziRxkgyA8BB6q+JEfV0EhjttZ47bmZmzvoLIfLGU7mI6Aqh2TIXOK6RNm/9gfzU66mO/2yPAOMi6k5T36331zucRDpjzvHDOeqEEEII8RIKdR2UGxhRlDftsWogNPmNvonN5ORNcjgYQGUsPPnGFTKjwSChLkezIQCU1U66qYzo9o+kkEpn9NrlkMFEGsm0JZocR3QzKWC0X7NlDkkngZGso2SKjAYpFEdTGQwn0rotc4QQwkUzv+z7Sw4ByRHNlrnA7vo+xfqXWe9PCKBv2JysBgp1QgghhHgJhboO7IiuQanXdtr15KORgJwQMCminl+fGwgEJt84P6JuSkRXRhPLaoFgaNJNa8pyjpQeQ4SKdNrEI0GURSe3H9FyIBy3npsS1XXhKKmMhREOWseYKVH1gdGU7SiZUijGa4BA9jMyZf1dZJREw0HbGWfK+lsZJQ4zGgghhBBCFEChroP8ru+mCEWHjeSAnFDvH0khaUhEN9fIzMFNslz/9CiQGNBolQscdnwHgHAoiOq4JVRMGREmO747jiaaVn5gO6pqp3SUBAIB48oPZL18LOzAURIImDci0oWjBMiJYVP6NAwl0kikrHPhlBkNhBBCCCEKoFDXQXl+6m+fv7ZIHDbSAqyIbjagaEz6e+fgKACHN8nRciBcZj03Rai4WH8gv6GWGULFddqvaQ3N3K6/YQ3lup2mvUuks8qUhpbSURKvmdJRAuT1CTDk/CPXPxoKonwqRwkhhBBCiAIo1HUQKQMiFdZzU26UpR3yBn4SQsFcRNGUWeoyojutIubsBbKhnyl16nbq+9QZDUBOqHQZJlSmbOQnMa2h2bCzjvsS0xrK5WbYOxTqpjW0dNjIT2KPiDRk/Xvy0t6nLL0hhBBCCFEAhbouZEMzUxrKyXr5iqmFOpB3o2yIUJR2OI8oGpb6W3BE15T1z46mch1RN+X4d7f+pqVeS6HoeIa3aSMiHXZ8l0wz7PzT6fb8QwghhBBSJBTqujCtRnfQnVCpNyyi6/pG2bSGfrJG16FQyUV0TRGKBTpKTImou+gRAOTWv8eQ49/uEeB0/e2IuiHHv8uMEvMchVbpzbRKCnVCCCGEeAOFui5ME4ouI+oyxdmYGlHXQt2w1F+XEUXTmpm5Tr0uMzWjYeqpBwBQW2FaRF32CHAZUTdl/QddZvRkBXHngBnHv7Sj3mnpDSGEEEJIkVCo68I0oWjXqDutEbVuSE0Z0VZwRN241F+Xqe+DZghFu5mZa6FY4hF1Qxwl9vHvuOu+ac3ksse/U6FuZ/SM6rLIFbkeGYyoE0IIIcQbKNR1YVpEa8h5MzkgNwbNlIi66xvlCtPW351QrK0wK6Iux+M5Tr02LvXdbTM/GVE3Y/3t47/SaTNFw45/F80sARNT311OPSCEEEIIKRIKdV3IG2VTuo4PuoxoGRZRt5vJOa0RNc5RUlhE3RShWPh4NlOEuky9bnS0eW7qgRkZDe4zSkyLqLtLfZe14Kacfzrdnn8IIYQQQoqEQl0XJgnF5DCQHLSeO059N0copjOi8DnSJqw/kBOsTptpGdZMzr1QlBF1Q+aou6yRNi313X1GiWHN5FxH1C1HYclm9BBCCCGEFAmFui5MEurShmAEiNc4eom8Ue4yoEa6dzgJIaznjiO6JtWop5PAaK/13PF4MHOEYiYjbMHkuOt1WbZpmzERdZdTDwwt/XCdUTLcDWTSmqxygV2j7m6O+mAijZGk//a7Hg9JCCGEEFIkFOq6KDcoopXfSC4QcPQSk5o5SRuq42FEQg4P2QqDIurShkAwJ2CnQHbd7xlKQkgvhU/0jSSRylg2uI6oJweB5IgmyxySHAYSA9Zzl6UffSMpJFIZXZY5orCMkqwgFhlguEePYU4RwnVE3fquW+cqE+rUOwey49ko1AkhhBDiERTqujAqou4u7RfIH8/mv1CUo5EcN9ICcus/0mNFtP1k8Kj1WD4NCDr7ysnMgVRGoH80pcsyR8i096pYGLFwyNmLYjVAILut3w3lpEgMRoBYtaOX1JZFEMz6tPwu/+geSrjPKAnlZc/47SxMDADprMPP4TkoEAjY79VvoZ5MZ9A3Yn0HGVEnhBBCiFdQqOvCFoq9BghFd2m/ADAtG1FMpDMY8FkoFpR2WlYHIKu0/K6TdhlNBIB4JIR4xPp6+j2izXXaNWA5JExJf89vJOcwoyQYDNjHm9+zvOX615RFnGeUAOY0lJN/P1wGRCscv8xef5+Fuix/CARyJSmEEEIIIbqhUNdFWa2V6gyYI1RcCPWyaE4odvstFN2m/QJAMJQTin4LFZczpCV1dkM5f4WKFKquo4mmjGgbdFcfLTFlRFguo8Tl+ptS/lHg8Z9bf3/LbzrzRrOFgs4cPYQQQgghxUKhrot8oej3jbLLjteSafaINn9vlLukUHQbzTJFqMjU9wKFepffQn1Q1ue6KD0AzBnRZpcelOjxX2jHcbv8xpCIugtHIQDjMhqY9k4IIYQQL6FQ14kpdepD7lOvgbw6dd+FYoEzjI0TKoWtv9+d36WjxL1QNCSiXkCPBiB3vPkvFC1HgfuMBjn5wJDzj2tHoSEZDRTqhBBCCPEBCnWdmNL5veDUXzNGtBUfUTQlot7o6mWyHtbv0oOCHSV2RN3v9S/MUdJg10ibkXpd7zajwZRZ6gWuf+7847ejih3fCSGEEOI9FOo6KTdEqNgzpF3eKJdbEV2/a0QLTj01JqJYmKOkrtyMiHpnwY4Sefz73Myv0Ii6KUKx4PU3pJlckRkNpqw/I+qEEEII8RIKdZ3YEd3STP2ts1NPzYiou75RNqZGPa/ruAvqDalRl44a183MTEl9L7RHgyGp7wWnXhtz/LufOgGYl/rOiDohhBBCvIRCXScVhkS0Ckw9nWZI1+WiI+q+p/4W2Mys0oyIbq7re6k2kyvu+Pd7PFhXoV3fTTn+C85oMEOoM6JOCCGEED+gUNeJCTXS6SQw0mM9L8GIuhBCgVD3O/W9uIjuMUMiuq4jiqbUSJe4UCy4674ppR8l7ijJ9Whwuf6EEEIIIUVAoa4TE4SiHc0M5MbFOcSEiPrAaAqJdCZrj1uhIjMafFz/VAIY6bWeu0x9t8eDDfi3/kIIdA8WGNGV71dmFPjFYGE9GmRGwzEf1x9QUfpxDBBCsVUuKNJR0jucRDJ7DvCDgnsEEEIIIYQUAYW6Tkzo+i7/dlmdNdvdBXKOd/eQfxF1eZNcFgmhLOrOfiOa+cm/HQgB8VpXL22o9D+i2DecQipjibyChaKfpR/JESDRP9Yeh0hh1j+SQiLlj1DMZIT9/XOf+p59v+kEMNqv2DIXFFijXlseRSBgPfdzRCRT3wkhhBDiBxTqOik3oEa3wEZagBmpv0XdJJsQUbRn2E8Dgu6+bjKi2zPkX0RRpl1XxsKIhV06SiqarMfkEJAYVGyZQ+T6ByNAvMbVS2vKIggFLaXol1DsHU4inXWUSMeZY6LlQKTceu6XsyoxBCSzn73Lc1AoGEBtmZw84c/6pzPC/uwZUSeEEEKIl1Co6yS/67LvQrFwoe5n6mlRQl1G8NIJIDGg0CoX2DPU3a9/bVkEQRlR9EmodBaa9g4A0QogXGY9Hzii0CoXDOY5SmR41iHBYMAWx36lv8v1r4qHEQ0XcLr2u/xGnn9CUSBW7frltrPQpz4NPUMJ+9RdR6FOCCGEEA/RKtS7urqwZs0aVFdXo7a2FjfeeCMGBiYXTBdffDECgcCYf5/5zGfGbLN//35cccUVKC8vR1NTE7785S8jlUrpfCuFIW+SUyP+RRQHC5vhDYxNPe3xKf294NFUwFih6Ff6dYFpv4AlFGWndb8ayuU6vhew/oFAXp26T+tfYH20xO8RYUXXR9sN5fw6/vMchS4dJUBenwaf1l9G06vjYURC9GtPxEl/rSeEEEI0ENa58zVr1uDw4cNYv349kskk/uIv/gLr1q3Do48+Ounr1q5di29+85v2/8vLy+3n6XQaV1xxBVpaWvDb3/4Whw8fxnXXXYdIJIK77rpL23spiGiFlXqaHLIiq7FK720oIqIuU0+7h5LoGkygscr7rsdKhErfAav8oH6uQsscYkfU3TWSkzRURnFsYNROQfeaote/ogHo3e9fQ7kiHCVANpOgw79Z6rKRY8H10X533h8q3FEI+F9+02mPxmPH98k46a/1hBBCiAa0hQi2b9+OZ555Bj/84Q+xfPlyXHDBBbj//vvx2GOP4dChQ5O+try8HC0tLfa/6upcyuRzzz2Hbdu24d/+7d+wZMkSfOQjH8G3vvUtPPDAA0gk/B3jMy5+N9Syb5QLiyjKG2W/Oo93F9vIqcLnWdLFRnRlQznfIuoFjgaT+N35vUhHSb3PI8JypQcFrn95XvmNHxQ4mk1SX2lGRgMbyU0Mr/WEEEKIHrQJ9Q0bNqC2thbnnnuu/bNVq1YhGAxi48aNk772xz/+MRoaGnDmmWfi9ttvx9DQ0Jj9Ll68GM3NzfbPLrvsMvT19WHr1q3j7m90dBR9fX1j/nmG70KluBtlKRD8Fir1hdRIA+ak/hYoFKdV+DsirOj19/v4L9JR0pA9/v0aUWhHdIuNqLP0oCCKKr05SeC1nhBCCNGDttT39vZ2NDU1jf1j4TDq6+vR3t4+4es+9alPYfbs2WhtbcWbb76Jr371q9ixYweeeOIJe7/5F24A9v8n2u/dd9+NO++8s5i3Uzi+C5XiIur2iDCfhKId0XLb8Vri9/rnNzMrgGk+j2hTkvoO+O8oKTSiW+FvRkPREV2/RxQqWn+/I+rs+D4xvNYTQgghenAt1G+77TZ897vfnXSb7du3F2zQunXr7OeLFy/G9OnTsXLlSuzevRvz588vaJ+33347vvjFL9r/7+vrQ1tbW8E2usIWKiUqFH1u5lR0RMtvoa4oouuXo0TWxhfU9R0AKrM38L47qoqrkS7Z47/clIh6sevvs6PwJBTqvNYTQggh/uJaqN9666244YYbJt1m3rx5aGlpwZEjY0cypVIpdHV1oaWlxfHfW758OQBg165dmD9/PlpaWvDqq6+O2aajowMAJtxvLBZDLOZTMyBTul4XKNSlUPQr9bqrWKHo9/oXWSM9zeeIbq7re4nXqBcY0fU/o6TY49/nZnJ2M7/SjKifzKnvvNYTQggh/uJaqDc2NqKxcWrRsWLFCvT09GDTpk1YtmwZAOCFF15AJpOxL8hO2LJlCwBg+vTp9n6/853v4MiRI3a63fr161FdXY3TTz/d5bvxAD+FSiZjdTsHim5m5td4sO5Bayxc8ULRrznexQkV2SPgWKmm/pqS+l5wMzlZo16ijhK/m8kVmVHit1Av2lFSwvBaTwghhPiLtmZyp512GlavXo21a9fi1VdfxW9+8xvcfPPNuPbaa9Ha2goAOHjwIBYtWmR7zXfv3o1vfetb2LRpE/bu3Yuf//znuO6663DhhRfirLPOAgBceumlOP300/HpT38av//97/Hss8/i61//Om666SYzPel+CvWRHkCkrecFR9T9iyiOptIYGLVm5hYc0fIz9TqVAEZ7redFd333fv2FEDmhXnRGg0+OkiJ7NLx/egSUZo26LL3pHkoikxGqrHJM0Y6SkwBe6wkhhBA9aBPqgNXRddGiRVi5ciUuv/xyXHDBBfjnf/5n+/fJZBI7duywO71Go1H88pe/xKWXXopFixbh1ltvxdVXX41f/OIX9mtCoRCeeuophEIhrFixAn/+53+O6667bswsVqPws0Zd3iTHqoFwYTc2fnZ9lzfJ4WAA1fEC+x76GdGV0cRACIjXFrSLBtkjwIeMhr7hFFJZcVR0j4ChTiCTVmSZQ1KjwGi263PBPRqs990/ksJoylv7hRDoHirSUSLfd6IfSI4osswFRTpK6ioiAIB0RqB3OKnKKsewmZwzeK0nhBBC1KOt6zsA1NfX49FHH53w93PmzIEQuShJW1sbXn755Sn3O3v2bDz99NNKbNROhY8R3SLr04H8Zmb+CfWGyhgCgUBhO8lf/0wGCGr1TY1lMC/tt8C/KwXacDKNwdEUKmJav7JjkA28KmNhxMKhwnYijz2RAYa7CxZsBTFYvKOkOh5BOBhAKiPQPZhES02B61AAfSMpJNNFOkriNUAoCqQT1neg1sPGWgocJbFwCFWxMPpHU+gcTKDOQ8Gc7yg5GWvU3cBrPSGEEKIeD1XLSYqfEcUiG5kBOaE4MJrCSNJb+2UDu6LqQ6UwzKSsUgAvKbKRGQCUR0OIR6yvqdfOkqLT3gEgFAHK6qznXjur8h1VBTpKgsGALQ69bqgoyx2KcpQEAv6VH8hoehGOEsC/8g8ljhJCCCGEkAKhUNfN8RFFLxnI3pjLOu0CqIqFEQ1Zh4nXQuVo9u/JqH5BhGNArMZ67nX6e5GjwQAgEAjYdbrHPB5RdWxAUTTRrz4NRTaSk0zzqaGZstFg8v0P+LT+RThKgPzJE96uv3QMVERDiEe8y6QghBBCCAEo1PUTCgNl9dZzz4VK8RH1QCCQF9Hy9kb5mAqhDgCVPkUUFQnFBp/WX1l9rl/lHwocJUAuouu1UFc2GsxuqOh1RL24ju8Sv0ZESsdAQxUblxFCCCHEeyjUvcCviKKCiDqQ3/na4xvlfnmjXKoR3eJT34G8hn4eCxV7NFWxHa/9auinaP1lx2+vhaJyR8mAx0J9oHhHIZD7/nsv1K2/11iso5AQQgghpAAo1L3Ab6FYdETXn9RTZTfKfgnFIbWp11533rdT34udIe176nuRjhKfUt+P9avOKPHaUdiR/fvNRe3Gr4j6UVXrTwghhBBSABTqXuCXUFQVUfdpRJiM4BfVzAzwL6JoC8ViU69LPaIra6S9Xn81jirbUeJX6UfJZpSoOf9IoXy0v0TXnxBCCCGkACjUvcDvG+WKYm+UfUo9lanvRUfUfY7oFpl67XeNevHNzHxOfS9SKNZX+pvRUPzxX+Kp777VqDOiTgghhBD/oFD3Ar8iigNqhIpf45HUN5PzaTxYsRFdn3oEyNTfxmKbafnWoyGbel2ko8rOKCnV9ffr+FcUUW/0qUb9qCpHISGEEEJIAVCoe4EfEcXEIJAczP79YlN/pVDxLqKYSmfQNVTiEXVFEUW/Sg/sHgElK9Slo6q4GmkpFEt26oFvEXVVGT25iLoQolirHMOIOiGEEEL8hELdC+zxSB4KFXmTHI4DsaqidiXHE3nZTK5rKAEhgECgROd4JwaBRL/1XFFGg5frn1TpKLGPfw8dVULkRXTVpF4f7fdWKB5VllGSXf/hLiCdLNIqFyjqkSHf/0gyg8FEulirHJNzVLFGnRBCCCHeQ6HuBX4IRbuRWZOldosg10zLu9RTWZ9eXx5FKFic/bk53h4KRdtRUla8oyQrVLoGR5HJeCMUuwYtR0koGEBduaIa9UQ/kBwu3jgnjPQA6axjQ1FEdziZ9kwojiTT6B9JAVCQ0VBWBwSyp3qvvgOZdK70o0ihXhELoywSAuDdOUgIwYg6IYQQQnyFQt0LfBHqaqKJQL5QTHgmFGU9sJKbZCkUR/uA5Ejx+3NCfiOzIh0lUihnBNAz7E1EVNZH11cocJTEqoFQVux7JRSloyRWA0TiRe2qIhZGRdQSinJkmm6kSIyGgqiOh4vbWTCUa2jo1TloqAsQGQCBopspAt7PUh9MpDGSzFh/m0KdEEIIIT5Aoe4FUqgnBoDEkDd/U1F9KJBLPU9lBHo9EopKRyPFa/KEokdCRdEMaQCIhoOoKYsA8C6ieFTVDHvAclR47axSlHYtkVHtox6tf67jexSBIh09APLKDzyqU5d/p7weCBXpaID3I9qkQ6Y8GkJFrHj7CSGEEELcQqHuBbEqKwUayAk43dgR3eIj6vlC0auIlrLRbIBPQlEKdTVC0es6dWUdxyVeN1RUvP75depeoH795eQJj49/BY5CwPsRbUx7J4QQQojfUKh7QSCQEwxedV5WGFEH8iKKHqf+KrtRrvA49VdxRLfB4xFh6tdfOkq8iuiqGU0oKfnj3+uIuqLRkJKGSm9T33Prz0ZyhBBCCPEHCnWvkCnQnkXUFaf+Vnqb+qus47XE6/VXmPoO5EXUSz2i63VGQ4k6quTfUe4o8cpRqPj843VEXfn6E0IIIYS4hELdK6q8FopqZnhLmqqtG9Yjfd7W6E5TFdGSgrnf4/VXLlQ8qtHN/p3STX1XHFH3KfW6dB0lajN67OPfoxr1o7JHgKr1J4QQQghxCYW6VzCi7opOlc3MAP8i6oqESpPnEV2rO76y1N8Kr0s/FNeo+5b6rspRJVPfvS79UOMoZI06IYQQQk42KNS9wnOhKCPqioSiHVH3ZryZ8hvlqhbrcaBdzf6mwhYqalLf7fXv92b9lae+28e/R+s/qHb9PS/9kKnXyiLq0lHikVAfVB1R97hGXR7/rFEnhBBCiE9QqHuFl83kkiPAaG/276qJaHk5niqTEei0U08VRxS9SH0XQnlEV67/Ec8iutnUd2WOEq9LD6RQVHz8l+r6V3rczM8uPVDjKJEOC+9KPxhRJ4QQQoi/UKh7hZcRdZneGooC8Volu2yqigPwRqh0DyWQyggAwLQKVUJFRtQ9WP+RXiCdXSdFQl2uvxdCfTSVRu9wEoDKiLqHGQ2ZTF7Xd0UR9apc6rUQQsk+J+OY6oi6XIfBo0AmrWafkzGoJ/V9YDSFkaR++4+xRp0QQgghPkOh7hVeNjPLTzsNBJTs0suIrvwb9RVRRMOKDlE7o6HDinjrRIrEWDUQKVOyS1mj3jkwinRGr/1SpERCAdSURdTsVEbUR3qB5LCafU7EcDeQSVnPFUXUZVPDZFrYTgxdjCTT6B+17Ffa9T0QBERGf516Jp1rGqgo9b06HrbPBV44C4+p7pFBCCGEEOISCnWvsCNaR6yIn076s1HLKjXRRCB3w9ozlMRoSm9ESwr1JpXRLLn+qRFgtE/dfsdDcdo7AEyrjCEYADJC/yz1Y3mjqQKKHD2I1wKh7OepO6tBOqrK6oCwmtKJWDhkOy10C0W5/2g4iOp4WM1Og6GcaO7XnNUw1AWI7DlCdvsvkkAgYJ8PdPdpGBxNYShh2c+IOiGEEEL8gkLdK2RkL5OyIn46sYX6dGW7rC2PIBKyRJvuOlHZsK6pOq5up9FyK8IN6M9qUDxDHQBCwQDqK7wZkae8kRxgZXZ4VaeuuOO+xKs69fxorjJHCeDdiEjbUVIPhBRlZABozp4PdB//0lFYEQ2hMqbIUUIIIYQQ4hIKda8IR60bV0D/jbIU6gqFYiAQyHW+1ixUtETUAe/6BAyoHY0n8WpE21Fdab9e1akrnqEu8arzu93xXXXHcbn+/YfV7vd4NDgKgdzx36F58oQWRyEhhBBCiEso1L3EqxFhA3pulBurvWkoZ98oqxbqVR41lNMQUQdyI9q0R3TzUt+V4nVEXfH6exVRP6IjowHwbv1tod6idLd2RF3z+nfochQSQgghhLiAQt1LvBrRpqFGHchFFHXXiMob8WbVEa1Kj2p07Rn2ahqZSbxafzuirjyjwWtHidqIeoNHEXXpqFJ+/EvHnW5HoYzYq3YU2hF1jxyFjKgTQgghxEco1L3Eq9RrO/VdbUTLq4iuvtT390dEXXdEUVvqtV0jrVsoasoo8SiiLoWoekeV1xF1tcd/LqLukaOQEXVCCCGE+AiFupd4HlFXK9RzEV3dQkVGtFQL9bwRbTrRFNG1Z6lrjijK9W+pUS0UZY20bqGoN6KrXaj3y4i6ptIP7TXqetbf7vru0fGv3FFCCCGEEOICCnUvsYWKxohiOpWbk6xaqHsgVIQQeRF11am/HkXUbaGiOKOhypvUaxnRVZ7661WPBs3rr7uZmf7198hRpa1GXXczObn+jKgTQgghxD8o1L3Ei9T3wSMABBAIAeVqZhhLvOg63jecQiJlzZlXXyMta9Q1rn86mecoaVW660YP5khnMsLef0upp15Xq11/mWHgVY20+vXPE+qZjNp956O563v3UBKjqbTSfecjMxqUOwoJIYQQQlxAoe4lXqS+549mC6r9eL2IqMub5JqyCOKRkNqde1GjLtc/GAHKpynddX7quxBC6b4lXUMJJNMCgYCOruPZ9R88amV+6GC0H0gMWM8V9wiQEd3e4SRGknqEYiKVQedgYszfU0ZlE4AAkEkBQ51q9y3JZLSV3tSWRxANWec0necgRtQJIYQQYgIU6l5iRxQ1pv7aaadqRQqQS8U92q9PKNo3yToaOcn1H+4CUgn1+wfGpl1rcpSMpjLoG9EjdGVa97SKGCIhxaeH8mlWpgdELutANfK7FasGYpVKd10dDyMesdakvVdPVoMsa4iEAqgrj6jdeSjPeaSr/GC4C8gkreeKHSWBQCAvq0SPUB8cTWFg1PpusUadEEIIIX5Coe4lMhV3tBdIDOr5G5oaOQG5LuCJdAY9Q0nl+wdyad1abpLL6qxIN6Avqq5x/cuiIVTFwgD0RRRzjbQ0OEqCodzIOl1CUVN9OmAJRZmOrqtO3W6kWBVHIBBQ/wfkcamr/ECuf0Wj5RhQjDwuj2haf+kAqIiGUJn9rhFCCCGE+AGFupfEq4FoNsrXp6nzsrwBVxzNAoBYOIT6Ckust2u+UdYSUQ8G9Xd+l59rtXqhDgCN1Xrr1LWNBpNUaa5T79Mn1IHcumg7/nU6SgD9I/I0jYaU2OUfmhxVnKFOCCGEEFOgUPcaO6J1SM/+NUZ0gVyDK11CRUYUG7UJFbn+uhwlh8b+HcXobugnU7q1CXW7T4DuiLqe9W/WHlHX7CixJ0/oOv711KdLZN24tvXX6SgkhBBCCHEBhbrXyPT3Pk1CXWONOpDrfK2rRldGypp1dVzWvf6aOl5LbEeJtvX3KKKrLfVa8/pr7vyufYa3PUtd9/rrzWjQNUudEXVCCCGEmAKFutdoF4qaI+qahfpR3R2Xq2dYj30H9exffq6KR4NJWmrKAACHNa2/FKDKR4NJ5Mg6bRFdbyLq+jJKNB//umfZa15/2UyuQ1fqu+0oZESdEEIIIf5Coe412lOv9dWoA95FdLXNMPYsoq4nojhds6NEe+p7ia+//mZm2fXXdfzrnmXvWURdb+kNO74TQgghxG8o1L1Gp1DJpIHB7Ix2TTfKdkRdw42yECIXUdQV0bLXX3dEV1dE3Vr/w7qFojahrjmjQXOPAK96NOhLfdftKNQbUW/SPJ6NM9QJIYQQYgoU6l6jU6gPHAFEBggEc2OwFKMzot47nMRwMm39nRrdEV0NQnGkD0gMWM+1R9SHle87kcrg2IA1X15bjbrO9RfCs4huR98ohBDK959rJqd5/fsPW4491Xi0/l2DCYym1NvfoTujhxBCCCHEIVqFeldXF9asWYPq6mrU1tbixhtvxMDAwITb7927F4FAYNx/jz/+uL3deL9/7LHHdL4VdeiMaEnxUzXdmlmtgekaI+qHeqx9TquIIh7RY/8YR4lqoSVFSqwaiFWq3XcW6cA40j+KZDqjdN9HByyRGAkF7DF8yqnJRtSHu4HEkNp9D3cDacvRoLvreCKVQc9QUum+R5Jp9A4ns39HYzO5QAjIpCzHnkoymbxmlnrWv648gljYumx19KqPqjOiXhi81hNCCCHq0SrU16xZg61bt2L9+vV46qmn8Morr2DdunUTbt/W1obDhw+P+XfnnXeisrISH/nIR8Zs+/DDD4/Z7qqrrtL5VtQhU38HOoB0Su2+ew+M/RsaaM4Kxd7hJIYSau0/nI0ST6/VGM2SjpL0KDDUpXbfmtOuAaChIoZwMAAh1I9ok1kSTVVxBAIBpfu2iVUD0awTQ3VWiXR+lU8DwnqEViwcsp0Yqp1VUiTGI0FUx8NK920TDOWOT9VZDUPHAJEGEAAqmtTuO0sgELCdhYcUZ5X0jSQxMGqd06bryuh5n8JrPSGEEKIeTXeDwPbt2/HMM8/gtddew7nnngsAuP/++3H55Zfj3nvvRWvriTW8oVAILS1jIzFPPvkkrrnmGlRWjo1Q1tbWnrBtSVDRCATD2YhWRy7CqAJ5461yn8dRFQujIhrCYCKN9t4RzGtUFzk+lBWKLdVlyvZ5AuGY9RkMHrWEdcU0dfuWde/V+oR6MBhAc3UcB3uGcbh3BK216tZKNujSVnYAAIGAldVw7A/W8dqwQN2+NddHS5qr4+gaTKC9bwSnTa9Wtt+OvP4A2hwlgLX+fQcsx97Mc9XtVzoKq1qAkLZLC6bXlGFv55Dt2FPF4WxGT215BOVRffa/3+C1nhBCCNGDtoj6hg0bUFtba1+4AWDVqlUIBoPYuHGjo31s2rQJW7ZswY033njC72666SY0NDTgvPPOw0MPPaSlXlQLwSBQKWcZK05/75VCfaba/eYRCATsqLrqiOLhHuvGu1VnRB3Q1yfAI6Goq/N7u93ITHPar671l44STWnXEl2d3w9lj3/tHcdrNDX0k0Jd4/kHgO2ckqUyqpDrP71Go6PwfQiv9YQQQogetIUN2tvb0dQ0Nv0xHA6jvr4e7e3OZvj+y7/8C0477TScf/75Y37+zW9+Ex/+8IdRXl6O5557Dp/73OcwMDCA//W//te4+xkdHcXoaC5NuK+vz+W7UYyMaPUdBKAwotUnU9/13ihPr4nj3aOD6oVidn/ab5SrWoHDv1cvVDwS6nbnd8URxVzHfd2OkuzxqXr9+/SXHgD5DRXVlh5I4TlTYZbEuNid91U7Sg6O3b8mpCNP9fEvU+ln6HYUvs/gtZ4QQgjRg+uI+m233TZhExj575133inasOHhYTz66KPjetj/5m/+Bh/60Idwzjnn4Ktf/Sq+8pWv4O/+7u8m3Nfdd9+Nmpoa+19bW1vR9hWFTI1WPSKsV3/qO5CL+KmOqMsb5ZKNqMv9VesZzSbRFVG3ewTors/V1fm99z3rsXaW2v0eh7bj384o0SzUZcRbRsBV4VFEXTryDiuOqMv9MaJuwWs9IYQQ4i+uI+q33norbrjhhkm3mTdvHlpaWnDkyNiuwqlUCl1dXY7qzf7zP/8TQ0NDuO6666bcdvny5fjWt76F0dFRxGInpu3efvvt+OIXv2j/v6+vz98LuJyx3V+aES19QtGjG2Vds9S9iuhKoaJJKM6o82r9FR//UqhrFoq6Mho8E+q6Ztnb66/33CqbTR5SfP7xbP1LBF7rCSGEEH9xLdQbGxvR2Dj1jO4VK1agp6cHmzZtwrJlywAAL7zwAjKZDJYvXz7l6//lX/4FH/3oRx39rS1btqCurm7cCzcAxGKxCX/nCzqESjqZGw+mW6homKUuhMgT6rojupqFSq1moaLJUXKwu9SFoozo6l3/GXaNtFqhftCzHg3Z9e9Vvf7eZPS0SkeVptR37etfIvBaTwghhPiLthr10047DatXr8batWvx4IMPIplM4uabb8a1115rd4E9ePAgVq5ciR/96Ec477zz7Nfu2rULr7zyCp5++ukT9vuLX/wCHR0d+OAHP4h4PI7169fjrrvuwpe+9CVdb0U9OiK6/YcBCCAUBcob1O13HGREV2Xqb+dgAolUBoGAB820dDhKksNWJ3lAu1Bs0SDUU+mM/XnO0J56rUEoCuFZ6rXMODjYPQwhhLIO7XZGg1frP9BujYhU1aHdq9T3rJDuGUpiOJFGWTSkZL+eZfS8z+C1nhBCCNGD1hk0P/7xj3HzzTdj5cqVCAaDuPrqq3HffffZv08mk9ixYweGhobGvO6hhx7CzJkzcemll56wz0gkggceeABf+MIXIITAggUL8L3vfQ9r167V+VbUYgtFhTWiUvRUt1qd5TWiI6Iu60MbKmOIhvXar0WoS5ESrQTK6tTtdxxkRL2jbwTpjEAoWLxQbO8bQUYAkVAAjZUedX0f7rIcHBEFwmioE0iNAAho7xEghfRgIo3e4SRqy6NF77N/JIm+kewMb91CvaIJCEaATNJy8KnIAEklrHGTgPZmltXxCCpjYQyMpnCodxjzFYyIzGSEfQ5iRN09vNYTQggh6tEq1Ovr6/Hoo49O+Ps5c+aMO2rlrrvuwl133TXua1avXo3Vq1crs9EXZMS19yCQSQNBBREhuz5d700ykIvoHh0YRSKVUSKsZRprq+60dyBXQ57oB0b6gLiCWdg9+63HmjZrVrhGGitjCAaAVEagc2AUTQoyEA7lNdIKKhD+kxKvBSLlQHLIcpZMm1/8PuX6VzYDYb2OhngkhIbKKI4NJHCge1iJUJfR3JoyS4RqJRi0Glr27LfWX4VQ7z8EK6MnBlTozegBLGfVziMDONwzokSodw4mkEh7lNHzPoTXekIIIUQ9mkOXZFyqpgPBcDai5Wx8zZTYjZz01ocCQENlFLFwEEKoqxOVQqXFC6EeqwTiNdZzVXXSHjUyA4BwKGiPUDusKKvhYI8V6dKedg1YjgzVWQ0yo0FzfwBJq+I69YNeNzKz+wQoyuqx095naHdUAbmsA1XrL89jTVUxREK8LBJCCCHEf3hH4gehcO5GWUYCi6XXm47vABAIBDAzW6d7oFvNjfIhezSYR0JFjvBStf493jSSk0iHhiqhcshO+/VKKCoe0eZRfbREOjQOKlt/j2d4q24oZzeS82b9ZebNIUWOQnZ8J4QQQohpUKj7hRSKMhJbLH3edFyWzKwrBwAc6B6aYktneF4fWjvbelTmKPGm47hEtaNE7kf7aDaJLNFQdfz7JdQVrf9hrx0lNYo773s0mk2iepa67ahiIzlCCCGEGAKFul/YQnGfmv1JoeJBjToAtNWrFYqHPY+oZ9e/e6+a/dmj2Wap2d8UtNVbjpL3FDlKPI/oqs5o6M3rEeABdud3xRF1z45/21GiKPW9z7uMHiB/lrrq9Wd9OiGEEELMgELdL1QLlT5vU09lRP29LlVC0aMZ6pI6xRH1Hm8jim3K118K9XIl+5sSuf7dih1VXgl1xanvns1Ql9gj8lTXqHub0aCqR4PcD1PfCSGEEGIKFOp+IWuZVQjFxJA1ngrwMPVdXUQ9kcrYEfVZ9R4JRdtRokAoplM5R4lHNeoyo+E9BesvhPBeKNbNsR6VZTR4LBTr1DYzk5FhT5r5Afoyejw6/0zP69EwXjdxt8j152g2QgghhJgChbpfqIyoy5vteI32Gd6SXI168ULlUM8wMgKIhYNorNI8w1tSqzCi238YEGlrNnVlS/H7c0BbXo+AYoVK73ASQ4k0AA8jinL9ew9Yjo5iSA4Dg0et515llGQzD44NJDCSTBe1r3RGoN3riK7MaBjuBoZ7it+f3UzOu9KDQAAYSqTROZgoen+y1wAj6oQQQggxBQp1v7CbyR0AMpni9iWjkjJK6QEyot7RP4LRVHFCZX82fXtWfTkCHox2ApBb/5EeYKS3uH3J+vTqVmtGtQe01lpCZSSZwdGB0aL2JZ0tDZVRxCMhFeZNTdV0IBS1HBzFNjSTIjFS4ZmjqrosjIqotVbFpr8fGxhFMi0QCgbQ5JWjKlYFlGfnnRcbVR/pBUaz3yGPatRj4RCmZ+ed7y+y/GM4kcaRfus75FlGDyGEEELIFFCo+0VVKxAIAekEMNBR3L669liPdXOLt8sh0yqiKIuErFnqRXZezhfqnhGrBMqnWc+LzWro8baRHABEw0FbqLzXVZxQzNWnexhNDAZz61Vs+nv+DHuPHD2BQCDXUK7IrBI5OaGlOo6wlzO8VZUfyPNPRZP1vfKIWdOs88X+zuKEujz/VMfDqC2PFm0XIYQQQogKKNT9IhTO1XMWKxR9iKirnKUuG6K1eR3NUlV+4HHHccnMejUj8g76NUNaVZ20/Pw86g8gUdVQbu8x6/ObPc3j41+ZUH/Xeqz3zlEI5Bx7xUbU5etnT6so2iZCCCGEEFVQqPuJqlne3dmIlsc3ylKoFzsiLHej7LVQV1SnLhtpeSwU2xT1CZAReU8j6oC6zu+2UJxX3H5coqqh3D6/hKI8XxQr1Lu9z+gBcuu1r8iI+r7OQQC5CD0hhBBCiAlQqPuJjMAWG1H0IaIO5DeUUyPUPa8PVRVRl+vvYeo7kNf5vciI4t6sUJnT4LFQlMdrscd/127rsX5+cftxiXSUqBKKc0o+ou6to0Rm4BR7/NuOQtanE0IIIcQgKNT9RIVQzGRyEUmPI1oqUt+FEHaNqedCvU5R6nWnFCreCkV7ln2RjpK9xyyhONdroW5nNOwtbj+yRtpjoSgjutLRUSh7O0s99T37eo8zeqSw3tdV3Prv8+v8QwghhBAyCRTqfqJCqPcfBtKjQDDsWcdlSVt98anXvcNJ9I9a47mk8PSM2jnWYzGp18mRXDOzaQuKNskNbbL0oIhmcql0xhb63kfUFaS+C+FbRHdeo7Vee44NFjUiT0bUPU99tzMa9gOZIiY3yPX32FEohXVH32hRI/LsjB6mvhNCCCHEICjU/URGoGTqbiHI+tDaWVaDOg+xa9SLSD2VN8lNVTGURT0aDSbJd5QUKrS69wAQQKwaqGhQZpoTpKPkUM8w0pnC7D/UM4JkWozpIu8ZUigOHgESBR5D/e1AcggIBD0vPbDGCQL9Iyl0FTjLu2cogZ6hJAAfIupyRF4mVfiIvOQw0H/Ieu6xo6S2PIKquHXOK/QclM4Iu3SHzeQIIYQQYhIU6n4y7RTrsec964a3EHyqTwdyN7ZH+kcxkI2Ku8XXtFPZ/C3RDwx1FbaPTlkfPc+z0WCS5uo4IqEAUhmBw72FHT97ZDS3vhzBoLf2o6wOiNVYzwvNKpHR3NpZQNjb0VrxSAitNZazas+xwtKv5fHfVBVDedRbRxuCoZxzQ5YPuEWef2LVQHm9ErOcEggEiu78fqhn2HJUhYJo8dpRRQghhBAyCRTqflLRAMRrAOSl77rFhxnqkpqyCBoqYwCAd48OFLQP3xrJAUCkLNfQr3NnYfvo3GU9epz2DgChYMAuFyh0lrSsT/c87V1SV+QsdZ/S3iWyrr9goZ49/uf4Fc0ttk69K2/ihMeOKiCXhVBoQz95/plZX4aQ144qQgghhJBJoFD3k0AgF1U/VqBQ9DGiDuTqdN89WphQ8W2GuqRBrv8fCnu9LFuY5m0jOcm8rFDcXaCjZI9fjeQk0sHUXWBE12ehPqfBOm4LbSi375isT/fp+C9WqPs0mk3SVmREXQp8dnwnhBBCiGlQqPuNFIqFRnR9mqEumd9YCaBwoejbDHVJw6nWY6FC3aeO75IFTdb67zpS2PrnRoP5JNRlJkKhjiqfRrNJ5LoVGlH3reO7RJmjxJ/zz+x6a/0LFupdPjXyI4QQQgiZAgp1v5GR2GO7Cnu9nfo+R4k5bplfZER9j98RxYYiMxrs1Hd/hOL8JukoKU4oysiw5xTrqDIm9b3QiK7PQlGuW2eBDS19Go0nyaW+F3b8+zYakhBCCCFkCijU/WZaEUJlsBMYzjZB8ymiWExEfWA0hcO9I2P24znFRNRHB4CBduu5T0JFrlshEfVUOmOXHviW+m6XfhTgqBLCd6Eo121vgSPabEeJX0JdHv+du4BMxv3rfRrNJpHrv69zCMm0e/v3+Z3RQAghhBAyARTqfmNHFHe5HxEmxWXNLCDqz42mFIp7jg26HhG2JxsFbqiMorbc247dNlKodO8FUqPuXitFSlm95x2vJTL1vb1vBP0jSVevPdA9jFRGIB4JornKp47XDdnU9/5DluPDDQNHgMSANZpNzmT3mLb6coSCAQwn0+joc3f8DI6mcGzAeo1vM7zrZgPBiDXizu2ItlQi163fJ0fJ9Jo4yqMhpDLCdfp7OiNsB6NvjkJCCCGEkAmgUPeb+nkAAsBILzB4zN1rj+2wHhtPVW6WU2bUlSEaDmI0lcGhHncjwuRN8jw/b5Irm63RUiLjvvO+z43kAKvzfmOV7LzvLv13T159uuej2SRldUB5dv58p8uouvy8amYC4ZhauxwSCQUxs66wEW3y85pWEUVNWUS5bY4IRXIi221WSdduQKSBaBVQ3areNgcEAoGCs0oOdg9jNJVBNBz0r5klIYQQQsgEUKj7TaQsN8/bbfr70eyNdYN/Qj0UDGDutMI6jxsRzQoECu/87uNotnxknwC3QmWv3/0BJIX2CTj6jvUo0+d9otARbX/o6AcAnNLsczS32PVvXOjLaDZJocf/rqPW+s9rqOBoNkIIIYQYB4W6CRQ6ou2Y/0IdyI1oc9vQTN5Yy/Rt35Drd9SlUJd11T71B5DYnd9dOkr+0GFtf0pTlXKbXNG40HqUws8pcvum09Ta45K5BY7I23nEsPWXGTpOkd+XxkVq7XHJgqbC+mTs7DDk/EMIIYQQMg4U6iZQaOdreWPts1CXEfF3XQtFK6Ll+41yoRH1I1utR5+F4gLZ0M9lRFGu/6ktPgvFptOtxyPb3L1Obu/z+p/abK2fXE+n7JTr73tEPSvUjxToKJFC3ycKTX03xlFICCGEEDIOFOomIFOn3UR0R/pyjZx8Fiq5iLrzG+WRZNpOFV7kt1AspPN7OpX7vJpPV2+TCxZkI7JuIupCCPyh3RKKC5v9FurZ49e1UJdC0d/jf2H2+H2n3aVQt4Wiz+svj98jW901tDwqe2T4G1GXjqadHQOuGlrupFAnhBBCiMFQqJtA8xnWY8dW56+Roqaq1beO4xJ5o7uzY8DxiKpdRwaQEUBdeQRNVf40ArOxhfpO5yOqut4F0qNApAKonaPNNCfMb8qNqEqknNl/qHcE/aMphIMB/0azSWREvXsvkHBYPjHYCQwesZ77HNGVEfWj/aPoGkw4es1wIo33uoeyr/c7on4qEAxbDS2ddn5PJXKOLZ/Xf860CsQjQQwn047nqaczAjuyjpVFLdU6zSOEEEIIKQgKdROQQr3vADDU5ew1HW9bjy1n6rHJBac2VyEUDKBzMIEj/c5GVMno48KWKgR8bEQFwOp6HYoByUGgZ6+z19hp74uAoL9fo5bqOCpjYaQzwnFDMxlNn9dYgWjY59NARQNQ0Wg9d1qnLh1VtbOAmL9CtzIWRlu91fl9h8Oo+jvtfRDCGk04rdJnR1U4luuT0eEwq+HYDiCTBOI11mfgI6FgwM4KcZrVsLdzEMPJNOKRoP+OKkIIIYSQcaBQN4F4DVCbnQMtBfhUyOi7FPk+Eo+E7M7L2w71OXrNO4et7YyIZoUiufTrw286e40UNE3+pr0D1oiq06ZbQmXb4V5Hr9mWXf9T/U57l8h1bH/L2fbt2c+p5Sw99rhkYbN1HO9od3b8b81+T05vrdFmkytk+rvT84/8nFrO8rXju0SeR+R5ZSq2Z7dbmHUyEkIIIYSYBoW6KbQsth7bnd4oZ7dr9j+iDgCnT7dulLc5vVFul0LdEKE4PSv42h0K9cO/tx7l5+YzZ2QF39sHna3/WwcsQb94hiFCcfrZ1uOhLc62l+s/fYkOa1xzeqt1/L/t0FElhfqZrQY4qoCcw8+xo0QKdTOO/5yjyllEXQr1001Zf0IIIYSQ46BQNwUpuJ3cKKdTeanvZtwoyxteJxH1TEbgzaxQPNMUoSgjs04i6kIAhzZbz1uX6rPJBXId3z7oLKL+1kHDhHrrEuvx8BZn29tC/Wwd1rjmrOw6SgfIVGw7ZG13hikRdenwkMf1VBgn1K3zz9ZDTte/b8zrCCGEEEJMg0LdFFrPsR4Pbpp626PbgeQQEKvO1Zb6jBQcbx7smXLbvZ2D6B9JIRYO2h2zfUcKvvY3p+583XfIamQWCBnRIwAAzpyRc5Rkpuh83T2YwMGeYQDAGaYIdSkUO7ZajcomIzGYa2RmiFBfPNNax51H+jGUSE26bTKdsWupzzAloivPP917pu6TkckYl1Fy5owaBAPA4d4RdPSNTLqtEAK/Ny2jhBBCCCHkOCjUTWHmudbjsR3AcM/k20ox33qO743MJGfNrEEgALzXNYyjUzSU+/2BHgCWSImEzLAfzWdana8HOoDeA5Nve+gN67HpdCBSpt82ByxorEQsHET/aAp7puh8LaPpc6aVo6Ys4oV5U1M/D4jVAOmE5YiajMNvAiIDVDYDVc3e2DcFzdVxNFfHkBG5tPaJeOdwP0ZTGVTHw5hVX+6RhVNQXm99BkDu+J6Io+8Ao33WxAOfR+NJKmJhu9/Clvd6Jt12f9cQugYTiIaCTH0nhBBCiLEYopIIKhqAujnW86lulA+8bj3OWKbVJDdUxSM4NTsP+o393ZNu+/v3LKF41sxa3WY5J1qeiw6+t3HybW1HiRnRXAAIh4I4KxvV3bR38vWXn49R6x8IADOyUd33Xp182/d+Zz3O/IBem1yyeEYtAOD3UwjF1/dZEeuls+sQNKmRmSzjODhF+vuB7OczYykQCuu1yQVL2moBTC3U5e9Pb61GLBzSaxQhhBBCSIFQqJuEFB7vvTb5drZQN6M+WrJ0di2AqYX6pn3W78+ZVavZIpe0LbcepxLq+zZkt/+gXntccu6cegA5ITgRr+21fv+BufXabXLFrBXW4/4Nk2+3f+PY7Q1h2ew6AMCreyZff3n8L5tVp90mV9jnn99Nvp08P7Wdp9cel5ydFeqbpzj/bN7fA8DA8w8hhBBCSB4U6iYxM3vju/+3E28zcDSXGmyYUDmnzRIek0V0e4eTdsOn5XOneWKXY6RQ3z+JUEkO5yLqcz6k3yYXnJsViq/vm3j9k+mMLVTOm2OoUN+3YeI+AULkHCmzzHKULJ9nredre7sm7RPwhhTqcwwT6vJ43v87IJ2ceDu5/oZlNHwgezy/sb8HI8n0hNttzDpSlprmKCGEEEIIyYNC3STmXmg97v8dkJygIdLeX1mPzWda6fIG8cF5lvDe8l4PBkbHb6j1+t4uZAQwt6ECLTVxL82bGin8Ot6euKHWgdeATBKomg7UzfXONgfIiO67Rwcn7BOw7VAfhhJp1JRFcEpTpZfmTc3MD1h9AvoPAT37x9/m6DvAcBcQjhszQ12yeEYNyiIhdA8lsfPIwLjb7D02iEO9IwgHAzjbpNIDAGg6A4jXAomBXLO44+k9AHTuBAJB4xyF8xsr0FQVQyKVmTCrp3Ng1B7NtmK+YY5CQgghhJA8KNRNonEhUNkCpEYmTr/e84r1KEW9QcyaVo5Z9eVIZQR+t7tz3G02ZH/+wXmGRXMBoLoVaFxkNSp798Xxt5HrP/tDVl21QdSWR+0u1q/84ei42/xqp/Xz8+bWm1UfDVh9AmTfhd0vjL/Nrl9aj3MuAMJRb+xySCQUtJ0lv919bNxtXs5+Lstm16EiZk59NwCrMeWcC6zn8jg/nt3Z70XrUqCs1hOznBIIBGzxvWGC889vsz9f1FKFhsqYZ7YRQgghhLiFQt0kAgFg3kXW8/GEohDAruet5wYKdQD4o1OsKP+vd50oVIQQeOGdIwCADy0wKxvAZsEq63HXBEJxx39bj6f8sTf2uOTihY0AgBd3HBn397/cbv38w4uaPLPJFadcaj3+4dnxf7/zOetxgdnr/8vtHeP+XjpQLspuZxzzLrYeJ1p/eV6a/2FPzHHL+Vmh/tKO8R1Vv95pnZeMPf8QQgghhGShUDcNKVS2/ezEOt1Dm4He/dZYJHlDbRgXnmoJkOe2tp9Qp7vryADePTaIaCiIi041VKhIAbLzOSB9XPp+9z4rLT4Qyn1OhnHxQkuAv/KHo0imM2N+d7R/1B6Nd8lCQ4X6qautx3dfsvoB5DPSl2vkZ6ijZNVp1ri4je92oXd4bJ33UCJlR3QvPMXQ43/h5dbjexuBgeOcPckRYOd66/mCld7a5ZAPL2pGMGCNIHyva2jM75LpDJ7b1g7A4OOfEEIIISQLhbppnLoaCJcBXe+eWCe6/efW4yl/bMz87uO56NRGVMXCONQ7ckJTs2fetm6SP7RgGqrihszvPp45fwSU1QGDR4A9L439nVz/WSusudMGsqStFg2VMfSNpPDiO2OF1tNvHYYQwJkzqs3rDyBpPgOoaQNSw8COp8f+buuTVn+AhoXAtPn+2DcFcxoqcEpTJVIZgfXbxkbVn93ajuFkGrPqy3GGqfO7a2Zkx7QJYPsvxv5u53PW/PTqGbnGl4bRWBXDedlpBs9ubR/zu9/u7kT3UBLTKqJmlt4QQgghhOShTah/5zvfwfnnn4/y8nLU1tY6eo0QAt/4xjcwffp0lJWVYdWqVdi5c+eYbbq6urBmzRpUV1ejtrYWN954IwYGxm/cVJLEKoFTs9HaLY/mfp5KAL9/zHp++pXe2+WQeCSEy85sAQA88cYB++epdAaPvfYeAOCKs1p9sc0R4Shw5p9az+V6A0AmA7z+sPV88dXe2+WQUDCAjy+dAQD4j9dz6y+EwE9etRq0/enSmb7Y5ohAADj7k9bzTf869neb/816XPIpb21yyZVLrOP70Y37xvz8iTcOAgA+vnQGAob1NxjDGR+zHjc9PDar581/tx7PvNqqZzeUKxZPBwA89tp7Y7J6/v9N1vfhI4tbEA6Za38pwus9IYQQoh5tdyuJRAKf+MQn8NnPftbxa+655x7cd999ePDBB7Fx40ZUVFTgsssuw8hIrgP6mjVrsHXrVqxfvx5PPfUUXnnlFaxbt07HW/CPZTdYj5v/DzCYrfV++z+B/sNWt/FF/8M305zwiWWWEHzijYM43GulLz+3rQMHe4ZRXxHF/zhrup/mTc2SrFDc+qSV2QAAu9YDXbuBWDWw+Br/bHOAXP8XdxzBriP9AIAN73binfZ+xMJBfOwcg4U6ACz9NIAAsOdloP1t62f7NwIHXrXKDs6+1lfzpuKaD7QhEgrgjf09+P17PQCAtw704lc7jyEQAD52zgx/DZyKc/7cyuppfwvY+2vrZx3bgHf+y3puuqPknBmojIWx68gAXvqDlVWyv3MIT715CABw7Qdm+Wne+xJe7wkhhBD1aGs7fOeddwIAHnnkEUfbCyHwD//wD/j617+OK6+0IsY/+tGP0NzcjJ/+9Ke49tprsX37djzzzDN47bXXcO655wIA7r//flx++eW499570dpqcKTWDfMuAVrPsWrSn/1/gEu/BTz/Tet3560zrtv18Zw3tx7nza3Hq3u68O2ntuOujy3Gt5/aBgBYs3wW4pGQzxZOwYxlwPyVwO7ngWe+Bnz8B8B/f9X63dLrrKwHgzmluQp/fHoz1m/rwP/78234pz9fijt/bq3/Nee2oabc0LIDSe0sK2tk20+Bp78EfOrfgWey67/kU0BVi6/mTUVTVRx/clYrnth8EF//6dv4yboP4ptPbQUAXLVkBmZPq/DZwikor7ecVa8/BDz9ZeAv1wPP3AZAAKd9FGg6zW8LJ6U6HsEnz2vD//7VHnz7qe1YNqsed/z8bWSE1ezvzOxkBKKOk+J6LwSQHJp6OxPJs3sokQYS449PNZWhRBrl8j/JISBh2MSMqeD6+0uJrz/Az8AkyiIhT7MiA0Ic37FMLY888ghuueUW9PT0TLrdu+++i/nz52Pz5s1YsmSJ/fOLLroIS5YswT/+4z/ioYcewq233oru7lztcyqVQjwex+OPP46Pfexj4+57dHQUo6O5udJ9fX1oa2tDb28vqqsNrRXd+2vgX//EGhUmaVgIrHsRiBp+ow9g075u/NkPNiCVl3o6q74c//35PzJvLNV4HH4T+N+XAJm8k0lVK3DT74C4+Tf67x4dwOp/+BUSeQ3l6sojePFLF6O23GxHDwCg5z3ggfPG3hhHq4C/3gRUNftnl0OO9I9g1d+/jL6R3PFTFgnhuS9ciLb68kleaQiDx4B/+iAwmNc9PVwGrHsJaFrkm1lO6R5M4PL7foXDvbnobCwcxBOfOx9ntJr7/e3r60NNTY3Z16ZJ8Pt6r/VanxgE7ir9YMBpIw9hGIb2KJmAMoxge/x/+m2GErj+/lKK6w/wMzCJbd+8DOXR4nSMm2u9MYV67e1W45/m5rE34c3Nzfbv2tvb0dQ0tltvOBxGfX29vc143H333aipqbH/tbW1KbZeA3MuAK74eyCYjX7WzgKu+deSEOmANSf6nj89C5GQ5XWaUVuGf1qztDREOgBMPwv404eAUHbWcvUM4JoflYRIB4B5jZX4//58Kcqy2QsNlVH88PpzS0OkA0BtG3DN/wFi2fWO1wBr/qMkRDpgRdUfWLMU9RXWeldEQ/jh9eeWhkgHgIoG4BOPAJXZ9Y6UA594uCREOgDUVUTxT2uWorHK+v7GI0H8/TVnGy3STyZ0Xe9L8lrvIa9lTsUwYn6b4ZphxPBa5lS/zSgarr+/lOr6A/wMTmZcqabbbrsN3/3udyfdZvv27Vi0yKybudtvvx1f/OIX7f9LL7vxnPs/gdOuBDp3ATOWAiHDU5aP4+NLZ+KShU1499ggzmitNj/l/XhOv9LqAt+520r3NTzl/XhWntaM3972YezpHMSpzVWoLBUnieSUVcAtbwLHdgKNp5aMk0TyR6c04qUvX4xdRwawoKkS1aZOOpiIORdYGQwd2yyBXmLrf86sOvzqK5fgrYO9OLW5CjVlJbb+PlOK13ut1/pIOfC1Q2r25QNCCJyBGLaZ3MhyMsRlEBg1uxHnJHD9/aXk1x/gZ2AIZR5rGVd37rfeeituuOGGSbeZN29eQYa0tFh1px0dHZg+PddsrKOjw06Na2lpwZEjY0dOpVIpdHV12a8fj1gshlisRD04FdOsfyVKXUUUyypKJIo7HuX1xo5ic0JdRRR1pbz+ZbVA2wf8tqJgquMRLJ1V57cZhROrAmYt99uKgolHQvjAnNL9/vpJKV7vtV7rA4GSyWgbjwCAEsnnmYTSdbZx/f3l/bH+AD+Dkw9XQr2xsRGNjY1aDJk7dy5aWlrw/PPP2xfqvr4+bNy40e4ku2LFCvT09GDTpk1YtmwZAOCFF15AJpPB8uWlezNJCCGEmASv94QQQoi/aKtR379/P7Zs2YL9+/cjnU5jy5Yt2LJly5gZqIsWLcKTTz4JAAgEArjlllvw7W9/Gz//+c/x1ltv4brrrkNrayuuuuoqAMBpp52G1atXY+3atXj11Vfxm9/8BjfffDOuvfba90/Hd0IIIaSE4PWeEEIIUY+2otVvfOMb+Nd//Vf7/+eccw4A4MUXX8TFF18MANixYwd6e3vtbb7yla9gcHAQ69atQ09PDy644AI888wziMdz3QF//OMf4+abb8bKlSsRDAZx9dVX47777tP1NgghhBAyCbzeE0IIIerRPp7NREp9BA4hhJD3H7w2qYXrSQghxDRKcjwbIYQQQgghhBBCKNQJIYQQQgghhBCjoFAnhBBCCCGEEEIMgkKdEEIIIYQQQggxCAp1QgghhBBCCCHEICjUCSGEEEIIIYQQg6BQJ4QQQgghhBBCDIJCnRBCCCGEEEIIMQgKdUIIIYQQQgghxCAo1AkhhBBCCCGEEIOgUCeEEEIIIYQQQgyCQp0QQgghhBBCCDEICnVCCCGEEEIIIcQgwn4b4AdCCABAX1+fz5YQQgghFvKaJK9RpDh4rSeEEGIabq71J6VQ7+/vBwC0tbX5bAkhhBAylv7+ftTU1PhtRsnDaz0hhBBTcXKtD4iT0HWfyWRw6NAhVFVVIRAIFLWvvr4+tLW14b333kN1dbUiC72D9vsL7feXUrcfKP33QPtzCCHQ39+P1tZWBIOsTCsWldd6gMeq39B+f6H9/kL7/cWva/1JGVEPBoOYOXOm0n1WV1eX5IEnof3+Qvv9pdTtB0r/PdB+C0bS1aHjWg/wWPUb2u8vtN9faL+/eH2tp8ueEEIIIYQQQggxCAp1QgghhBBCCCHEICjUiyQWi+GOO+5ALBbz25SCoP3+Qvv9pdTtB0r/PdB+UiqU+mdN+/2F9vsL7fcX2l8YJ2UzOUIIIYQQQgghxFQYUSeEEEIIIYQQQgyCQp0QQgghhBBCCDEICnVCCCGEEEIIIcQgKNQJIYQQQgghhBCDoFB3yd69e3HjjTdi7ty5KCsrw/z583HHHXcgkUhM+rqRkRHcdNNNmDZtGiorK3H11Vejo6PDI6vH8p3vfAfnn38+ysvLUVtb6+g1N9xwAwKBwJh/q1ev1mvoBBRivxAC3/jGNzB9+nSUlZVh1apV2Llzp15DJ6Crqwtr1qxBdXU1amtrceONN2JgYGDS11x88cUnrP9nPvMZT+x94IEHMGfOHMTjcSxfvhyvvvrqpNs//vjjWLRoEeLxOBYvXoynn37aEzsnwo39jzzyyAnrHI/HPbR2LK+88gr+5E/+BK2trQgEAvjpT3865WteeuklLF26FLFYDAsWLMAjjzyi3c6JcGv/Sy+9dML6BwIBtLe3e2Pwcdx99934wAc+gKqqKjQ1NeGqq67Cjh07pnydad8B4h5e63mtL5ZSu9YDvN77db3ntZ7X+omgUHfJO++8g0wmgx/84AfYunUrvv/97+PBBx/E1772tUlf94UvfAG/+MUv8Pjjj+Pll1/GoUOH8PGPf9wjq8eSSCTwiU98Ap/97GddvW716tU4fPiw/e8nP/mJJgsnpxD777nnHtx333148MEHsXHjRlRUVOCyyy7DyMiIRkvHZ82aNdi6dSvWr1+Pp556Cq+88grWrVs35evWrl07Zv3vuece7bb++7//O774xS/ijjvuwBtvvIGzzz4bl112GY4cOTLu9r/97W/xyU9+EjfeeCM2b96Mq666CldddRXefvtt7baOh1v7AaC6unrMOu/bt89Di8cyODiIs88+Gw888ICj7ffs2YMrrrgCl1xyCbZs2YJbbrkFf/mXf4lnn31Ws6Xj49Z+yY4dO8Z8Bk1NTZosnJyXX34ZN910E373u99h/fr1SCaTuPTSSzE4ODjha0z7DpDC4LWe1/piKaVrPcDrvZ/Xe17rea2fEEGK5p577hFz586d8Pc9PT0iEomIxx9/3P7Z9u3bBQCxYcMGL0wcl4cffljU1NQ42vb6668XV155pVZ73OLU/kwmI1paWsTf/d3f2T/r6ekRsVhM/OQnP9Fo4Yls27ZNABCvvfaa/bP//u//FoFAQBw8eHDC11100UXi85//vAcWjuW8884TN910k/3/dDotWltbxd133z3u9tdcc4244oorxvxs+fLl4q/+6q+02jkRbu13853wGgDiySefnHSbr3zlK+KMM84Y87M/+7M/E5dddplGy5zhxP4XX3xRABDd3d2e2OSWI0eOCADi5ZdfnnAb074DRB281vsDr/XewOu9GfBa7z8mXesZUVdAb28v6uvrJ/z9pk2bkEwmsWrVKvtnixYtwqxZs7BhwwYvTFTCSy+9hKamJixcuBCf/exn0dnZ6bdJjtizZw/a29vHrH9NTQ2WL1/u+fpv2LABtbW1OPfcc+2frVq1CsFgEBs3bpz0tT/+8Y/R0NCAM888E7fffjuGhoa02ppIJLBp06Yx6xYMBrFq1aoJ123Dhg1jtgeAyy67zJfjvBD7AWBgYACzZ89GW1sbrrzySmzdutULc5Vg0voXw5IlSzB9+nT88R//MX7zm9/4bY5Nb28vAEx6vn+/fAbkRHitNxte6wuH1/vSut6btPbFwGv91ISV7u0kZNeuXbj//vtx7733TrhNe3s7otHoCTVWzc3NvtVjuGX16tX4+Mc/jrlz52L37t342te+ho985CPYsGEDQqGQ3+ZNilzj5ubmMT/3Y/3b29tPSO0Jh8Oor6+f1JZPfepTmD17NlpbW/Hmm2/iq1/9Knbs2IEnnnhCm63Hjh1DOp0ed93eeeedcV/T3t5uxDoDhdm/cOFCPPTQQzjrrLPQ29uLe++9F+effz62bt2KmTNnemF2UUy0/n19fRgeHkZZWZlPljlj+vTpePDBB3HuuedidHQUP/zhD3HxxRdj48aNWLp0qa+2ZTIZ3HLLLfjQhz6EM888c8LtTPoOEHXwWs9rvVtbSuVaD/B6X2rXe17r9WHatZ4R9Sy33XbbuI0N8v8d/2U/ePAgVq9ejU984hNYu3atT5ZbFGK/G6699lp89KMfxeLFi3HVVVfhqaeewmuvvYaXXnqpJOzXjW77161bh8suuwyLFy/GmjVr8KMf/QhPPvkkdu/erfBdkBUrVuC6667DkiVLcNFFF+GJJ55AY2MjfvCDH/ht2knBwoUL8Vd/9VdYtmwZzj//fDz0G2kJdAAABiVJREFU0EM4//zz8f3vf99v03DTTTfh7bffxmOPPea3KaQIeK2fHF7rJ4fX+vcPvN77B6/1zmFEPcutt96KG264YdJt5s2bZz8/dOgQLrnkEpx//vn453/+50lf19LSgkQigZ6enjGe9o6ODrS0tBRjto1b+4tl3rx5aGhowK5du7By5cqi96fTfrnGHR0dmD59uv3zjo4OLFmypKB9Ho9T+1taWk5obJJKpdDV1eXqWFi+fDkAK8ozf/581/Y6oaGhAaFQ6ISOxZMdty0tLa6210kh9h9PJBLBOeecg127dukwUTkTrX91dbXxHvaJOO+88/DrX//aVxtuvvlmuxnUVJEWk74D5ER4rXcHr/VjeT9e6wFe74HSut7zWq8HE6/1FOpZGhsb0djY6GjbgwcP4pJLLsGyZcvw8MMPIxicPDFh2bJliEQieP7553H11VcDsDod7t+/HytWrCjadsCd/So4cOAAOjs7x1wMi0Gn/XPnzkVLSwuef/55+2Ld19eHjRs3uu6GOxFO7V+xYgV6enqwadMmLFu2DADwwgsvIJPJ2BdkJ2zZsgUAlK3/eESjUSxbtgzPP/88rrrqKgBWStDzzz+Pm2++edzXrFixAs8//zxuueUW+2fr169Xdpy7oRD7jyedTuOtt97C5ZdfrtFSdaxYseKE8SB+rb8qtmzZovU4nwwhBP76r/8aTz75JF566SXMnTt3yteY9B0gJ8JrvTt4rR/L+/FaD/B6D5TW9Z7XerUYfa1X2pruJODAgQNiwYIFYuXKleLAgQPi8OHD9r/8bRYuXCg2btxo/+wzn/mMmDVrlnjhhRfE66+/LlasWCFWrFjhx1sQ+/btE5s3bxZ33nmnqKysFJs3bxabN28W/f399jYLFy4UTzzxhBBCiP7+fvGlL31JbNiwQezZs0f88pe/FEuXLhWnnHKKGBkZMd5+IYT427/9W1FbWyt+9rOfiTfffFNceeWVYu7cuWJ4eNhz+1evXi3OOeccsXHjRvHrX/9anHLKKeKTn/yk/fvjj59du3aJb37zm+L1118Xe/bsET/72c/EvHnzxIUXXqjd1scee0zEYjHxyCOPiG3btol169aJ2tpa0d7eLoQQ4tOf/rS47bbb7O1/85vfiHA4LO69916xfft2cccdd4hIJCLeeust7baqsP/OO+8Uzz77rNi9e7fYtGmTuPbaa0U8Hhdbt271xf7+/n77+AYgvve974nNmzeLffv2CSGEuO2228SnP/1pe/t3331XlJeXiy9/+cti+/bt4oEHHhChUEg888wzJWH/97//ffHTn/5U7Ny5U7z11lvi85//vAgGg+KXv/ylL/Z/9rOfFTU1NeKll14ac64fGhqytzH9O0AKg9d6XuuLpZSu9ULweu/n9Z7Xel7rJ4JC3SUPP/ywADDuP8mePXsEAPHiiy/aPxseHhaf+9znRF1dnSgvLxcf+9jHxlzwveT6668f1/58ewGIhx9+WAghxNDQkLj00ktFY2OjiEQiYvbs2WLt2rX2yc90+4Wwxrb8zd/8jWhubhaxWEysXLlS7Nixw3vjhRCdnZ3ik5/8pKisrBTV1dXiL/7iL8bceBx//Ozfv19ceOGFor6+XsRiMbFgwQLx5S9/WfT29npi7/333y9mzZolotGoOO+888Tvfvc7+3cXXXSRuP7668ds/x//8R/i1FNPFdFoVJxxxhniv/7rvzyxcyLc2H/LLbfY2zY3N4vLL79cvPHGGz5YbSFHmBz/T9p8/fXXi4suuuiE1yxZskREo1Exb968Md8Dr3Fr/3e/+10xf/58EY/HRX19vbj44ovFCy+84I/xQkx4rs9f01L4DhD38FrPa32xlNq1Xghe7/263vNaz2v9RASyBhJCCCGEEEIIIcQA2PWdEEIIIYQQQggxCAp1QgghhBBCCCHEICjUCSGEEEIIIYQQg6BQJ4QQQgghhBBCDIJCnRBCCCGEEEIIMQgKdUIIIYQQQgghxCAo1AkhhBBCCCGEEIOgUCeEEEIIIYQQQgyCQp0QQgghhBBCCDEICnVCCCGEEEIIIcQgKNQJIYQQQgghhBCDoFAnhBBCCCGEEEIM4v8CLnvTjxlBtOcAAAAASUVORK5CYII=", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "# Define time variable\n", - "t = np.linspace(-2, 2, 400)\n", - "# Continuous signal (e.g., sine wave)\n", - "x = np.sin(2 * np.pi * t)\n", - "# Analog signal (e.g., square wave)\n", - "analog = np.sign(x)\n", - "\n", - "# Time Reversal\n", - "y_time_reversal = x[::-1]\n", - "analog_time_reversal = analog[::-1]\n", - "\n", - "# Create subplots\n", - "fig, axs = plt.subplots(1, 2, figsize=(12, 6))\n", - "\n", - "# Continuous signals\n", - "axs[0].plot(t, x, label='Original')\n", - "axs[0].plot(t, y_time_reversal, label='Time Reversal')\n", - "axs[0].set_title('Continuous Signals')\n", - "axs[0].legend()\n", - "\n", - "# Analog signals\n", - "axs[1].plot(t, analog, label='Original', drawstyle='steps-pre')\n", - "axs[1].plot(t, analog_time_reversal, label='Time Reversal', drawstyle='steps-pre')\n", - "axs[1].set_title('Analog Signals')\n", - "axs[1].legend()\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Time Scaling\n", - "### Mathematical Equation\n", - "$$ y(t) = x(at) $$\n", - "### Explanation\n", - "Time scaling compresses or expands the signal. If $ |a| > 1 $, the signal is compressed. If $ |a| < 1 $, the signal is expanded.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "a = 0.5\n", - "y_time_scaling = np.sin(2 * np.pi * a * t)\n", - "analog_time_scaling = np.sign(np.sin(2 * np.pi * a * t))\n", - "\n", - "# Create subplots\n", - "fig, axs = plt.subplots(1, 2, figsize=(12, 6))\n", - "\n", - "# Continuous signals\n", - "axs[0].plot(t, x, label='Original')\n", - "axs[0].plot(t, y_time_scaling, label='Time Scaling')\n", - "axs[0].set_title('Continuous Signals')\n", - "axs[0].legend()\n", - "\n", - "# Analog signals\n", - "axs[1].plot(t, analog, label='Original', drawstyle='steps-pre')\n", - "axs[1].plot(t, analog_time_scaling, label='Time Scaling', drawstyle='steps-pre')\n", - "axs[1].set_title('Analog Signals')\n", - "axs[1].legend()\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Time Shifting\n", - "### Mathematical Equation\n", - "$$ y(t) = x(t - t_0) $$\n", - "### Explanation\n", - "Time shifting moves the signal along the time axis. If $ t_0 > 0 $, the signal shifts to the right. If $ t_0 < 0 $, the signal shifts to the left.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "t0 = 1.25\n", - "y_time_shifting = np.sin(2 * np.pi * (t - t0))\n", - "analog_time_shifting = np.sign(np.sin(2 * np.pi * (t - t0)))\n", - "\n", - "# Create subplots\n", - "fig, axs = plt.subplots(1, 2, figsize=(12, 6))\n", - "\n", - "# Continuous signals\n", - "axs[0].plot(t, x, label='Original')\n", - "axs[0].plot(t, y_time_shifting, label='Time Shifting')\n", - "axs[0].set_title('Continuous Signals')\n", - "axs[0].legend()\n", - "\n", - "# Analog signals\n", - "axs[1].plot(t, analog, label='Original', drawstyle='steps-pre')\n", - "axs[1].plot(t, analog_time_shifting, label='Time Shifting', drawstyle='steps-pre')\n", - "axs[1].set_title('Analog Signals')\n", - "axs[1].legend()\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Amplitude Transformation\n", - "### Mathematical Equation\n", - "$$ y(t) = a \\cdot x(t) $$\n", - "### Explanation\n", - "Amplitude transformation changes the amplitude of the signal. If $ |a| > 1 $, the signal is amplified. If $ |a| < 1 $, the signal is attenuated.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "amp_factor = 2\n", - "y_amp_transform = amp_factor * x\n", - "analog_amp_transform = amp_factor * analog\n", - "\n", - "# Create subplots\n", - "fig, axs = plt.subplots(1, 2, figsize=(12, 6))\n", - "\n", - "# Continuous signals\n", - "axs[0].plot(t, x, label='Original')\n", - "axs[0].plot(t, y_amp_transform, label='Amplitude Transform')\n", - "axs[0].set_title('Continuous Signals')\n", - "axs[0].legend()\n", - "\n", - "# Analog signals\n", - "axs[1].plot(t, analog, label='Original', drawstyle='steps-pre')\n", - "axs[1].plot(t, analog_amp_transform, label='Amplitude Transform', drawstyle='steps-pre')\n", - "axs[1].set_title('Analog Signals')\n", - "axs[1].legend()\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Additional Transformation: Time Dilation\n", - "### Mathematical Equation\n", - "$$ y(t) = x(t / a) $$\n", - "### Explanation\n", - "Time dilation either stretches or compresses the time axis. If $ a > 1 $, the signal is stretched. If $ a < 1 $, the signal is compressed.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "dilation_factor = 2\n", - "y_time_dilation = np.sin(2 * np.pi * (t / dilation_factor))\n", - "analog_time_dilation = np.sign(np.sin(2 * np.pi * (t / dilation_factor)))\n", - "\n", - "# Create subplots\n", - "fig, axs = plt.subplots(1, 2, figsize=(12, 6))\n", - "\n", - "# Continuous signals\n", - "axs[0].plot(t, x, label='Original')\n", - "axs[0].plot(t, y_time_dilation, label='Time Dilation')\n", - "axs[0].set_title('Continuous Signals')\n", - "axs[0].legend()\n", - "\n", - "# Analog signals\n", - "axs[1].plot(t, analog, label='Original', drawstyle='steps-pre')\n", - "axs[1].plot(t, analog_time_dilation, label='Time Dilation', drawstyle='steps-pre')\n", - "axs[1].set_title('Analog Signals')\n", - "axs[1].legend()\n", - "\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "torch-gpu", - "language": "python", - "name": "python3" - }, - "language_info": { - 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border-collapse: collapse; -} - -table.align-center { - margin-left: auto; - margin-right: auto; -} - -table.align-default { - margin-left: auto; - margin-right: auto; -} - -table caption span.caption-number { - font-style: italic; -} - -table caption span.caption-text { -} - -table.docutils td, table.docutils th { - padding: 1px 8px 1px 5px; - border-top: 0; - border-left: 0; - border-right: 0; - border-bottom: 1px solid #aaa; -} - -th { - text-align: left; - padding-right: 5px; -} - -table.citation { - border-left: solid 1px gray; - margin-left: 1px; -} - -table.citation td { - border-bottom: none; -} - -th > :first-child, -td > :first-child { - margin-top: 0px; -} - -th > :last-child, -td > :last-child { - margin-bottom: 0px; -} - -/* -- figures --------------------------------------------------------------- */ - -div.figure, figure { - margin: 0.5em; - padding: 0.5em; -} - -div.figure p.caption, figcaption { - padding: 0.3em; -} - -div.figure p.caption span.caption-number, -figcaption span.caption-number { - font-style: italic; -} - -div.figure p.caption span.caption-text, -figcaption span.caption-text { -} - -/* -- field list styles ----------------------------------------------------- */ - -table.field-list td, table.field-list th { - border: 0 !important; -} - -.field-list ul { - margin: 0; - padding-left: 1em; -} - -.field-list p { - margin: 0; -} - -.field-name { - -moz-hyphens: manual; - -ms-hyphens: manual; - -webkit-hyphens: manual; - hyphens: manual; -} - -/* -- hlist styles ---------------------------------------------------------- */ - -table.hlist { - margin: 1em 0; -} - -table.hlist td { - vertical-align: top; -} - -/* -- object description styles --------------------------------------------- */ - -.sig { - font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace; -} - -.sig-name, code.descname { - background-color: transparent; - font-weight: bold; -} - -.sig-name { - font-size: 1.1em; -} - -code.descname { - font-size: 1.2em; -} - -.sig-prename, code.descclassname { - background-color: transparent; -} - -.optional { - font-size: 1.3em; -} - -.sig-paren { - font-size: larger; -} - -.sig-param.n { - font-style: italic; -} - -/* C++ specific styling */ - -.sig-inline.c-texpr, -.sig-inline.cpp-texpr { - font-family: unset; -} - -.sig.c .k, .sig.c .kt, -.sig.cpp .k, .sig.cpp .kt { - color: #0033B3; -} - -.sig.c .m, -.sig.cpp .m { - color: #1750EB; -} - -.sig.c .s, .sig.c .sc, -.sig.cpp .s, .sig.cpp .sc { - color: #067D17; -} - - -/* -- other body styles ----------------------------------------------------- */ - -ol.arabic { - list-style: decimal; -} - -ol.loweralpha { - list-style: lower-alpha; -} - -ol.upperalpha { - list-style: upper-alpha; -} - -ol.lowerroman { - list-style: lower-roman; -} - -ol.upperroman { - list-style: upper-roman; -} - -:not(li) > ol > li:first-child > :first-child, -:not(li) > ul > li:first-child > :first-child { - margin-top: 0px; -} - -:not(li) > ol > li:last-child > :last-child, -:not(li) > ul > li:last-child > :last-child { - margin-bottom: 0px; -} - -ol.simple ol p, -ol.simple ul p, -ul.simple ol p, -ul.simple ul p { - margin-top: 0; -} - -ol.simple > li:not(:first-child) > p, -ul.simple > li:not(:first-child) > p { - margin-top: 0; -} - -ol.simple p, -ul.simple p { - margin-bottom: 0; -} - -aside.footnote > span, -div.citation > span { - float: left; -} -aside.footnote > span:last-of-type, -div.citation > span:last-of-type { - padding-right: 0.5em; -} -aside.footnote > p { - margin-left: 2em; -} -div.citation > p { - margin-left: 4em; -} -aside.footnote > p:last-of-type, -div.citation > p:last-of-type { - margin-bottom: 0em; -} -aside.footnote > p:last-of-type:after, -div.citation > p:last-of-type:after { - content: ""; - clear: both; -} - -dl.field-list { - display: grid; - grid-template-columns: fit-content(30%) auto; -} - -dl.field-list > dt { - font-weight: bold; - word-break: break-word; - padding-left: 0.5em; - padding-right: 5px; -} - -dl.field-list > dd { - padding-left: 0.5em; - margin-top: 0em; - margin-left: 0em; - margin-bottom: 0em; -} - -dl { - margin-bottom: 15px; -} - -dd > :first-child { - margin-top: 0px; -} - -dd ul, dd table { - margin-bottom: 10px; -} - -dd { - margin-top: 3px; - margin-bottom: 10px; - margin-left: 30px; -} - -.sig dd { - margin-top: 0px; - margin-bottom: 0px; -} - -.sig dl { - margin-top: 0px; - margin-bottom: 0px; -} - -dl > dd:last-child, -dl > dd:last-child > :last-child { - margin-bottom: 0; -} - -dt:target, span.highlighted { - background-color: #fbe54e; -} - -rect.highlighted { - fill: #fbe54e; -} - -dl.glossary dt { - font-weight: bold; - font-size: 1.1em; -} - -.versionmodified { - font-style: italic; -} - -.system-message { - background-color: #fda; - padding: 5px; - border: 3px solid red; -} - -.footnote:target { - background-color: #ffa; -} - -.line-block { - display: block; - margin-top: 1em; - margin-bottom: 1em; -} - -.line-block .line-block { - margin-top: 0; - margin-bottom: 0; - margin-left: 1.5em; -} - -.guilabel, .menuselection { - font-family: sans-serif; -} - -.accelerator { - text-decoration: underline; -} - -.classifier { - font-style: oblique; -} - -.classifier:before { - font-style: normal; - margin: 0 0.5em; - content: ":"; - display: inline-block; -} - -abbr, acronym { - border-bottom: dotted 1px; - cursor: help; -} - -.translated { - background-color: rgba(207, 255, 207, 0.2) -} - -.untranslated { - background-color: rgba(255, 207, 207, 0.2) -} - -/* -- code displays --------------------------------------------------------- */ - -pre { - overflow: auto; - overflow-y: hidden; /* fixes display issues on Chrome browsers */ -} - -pre, div[class*="highlight-"] { - clear: both; -} - -span.pre { - -moz-hyphens: none; - -ms-hyphens: none; - -webkit-hyphens: none; - hyphens: none; - white-space: nowrap; -} - -div[class*="highlight-"] { - margin: 1em 0; -} - -td.linenos pre { - border: 0; - background-color: transparent; - color: #aaa; -} - -table.highlighttable { - display: block; -} - -table.highlighttable tbody { - display: block; -} - -table.highlighttable tr { - display: flex; -} - -table.highlighttable td { - margin: 0; - padding: 0; -} - -table.highlighttable td.linenos { - padding-right: 0.5em; -} - -table.highlighttable td.code { - flex: 1; - overflow: hidden; -} - -.highlight .hll { - display: block; -} - -div.highlight pre, -table.highlighttable pre { - margin: 0; -} - -div.code-block-caption + div { - margin-top: 0; -} - -div.code-block-caption { - margin-top: 1em; - padding: 2px 5px; - font-size: small; -} - -div.code-block-caption code { - background-color: transparent; -} - -table.highlighttable td.linenos, -span.linenos, -div.highlight span.gp { /* gp: Generic.Prompt */ - user-select: none; - -webkit-user-select: text; /* Safari fallback only */ - -webkit-user-select: none; /* Chrome/Safari */ - -moz-user-select: none; /* Firefox */ - -ms-user-select: none; /* IE10+ */ -} - -div.code-block-caption span.caption-number { - padding: 0.1em 0.3em; - font-style: italic; -} - -div.code-block-caption span.caption-text { -} - -div.literal-block-wrapper { - margin: 1em 0; -} - -code.xref, a code { - background-color: transparent; - font-weight: bold; -} - -h1 code, h2 code, h3 code, h4 code, h5 code, h6 code { - background-color: transparent; -} - -.viewcode-link { - float: right; -} - -.viewcode-back { - float: right; - font-family: sans-serif; -} - -div.viewcode-block:target { - margin: -1px -10px; - padding: 0 10px; -} - -/* -- math display ---------------------------------------------------------- */ - -img.math { - vertical-align: middle; -} - -div.body div.math p { - text-align: center; -} - -span.eqno { - float: right; -} - -span.eqno a.headerlink { - position: absolute; - z-index: 1; -} - -div.math:hover a.headerlink { - visibility: visible; -} - -/* -- printout stylesheet --------------------------------------------------- */ - -@media print { - div.document, - div.documentwrapper, - div.bodywrapper { - margin: 0 !important; - width: 100%; - } - - div.sphinxsidebar, - div.related, - div.footer, - #top-link { - display: none; - } -} \ No newline at end of file diff --git a/_build/html/_static/check-solid.svg b/_build/html/_static/check-solid.svg deleted file mode 100644 index 92fad4b..0000000 --- a/_build/html/_static/check-solid.svg +++ /dev/null @@ -1,4 +0,0 @@ - - - - diff --git a/_build/html/_static/clipboard.min.js b/_build/html/_static/clipboard.min.js deleted file mode 100644 index 54b3c46..0000000 --- a/_build/html/_static/clipboard.min.js +++ /dev/null @@ -1,7 +0,0 @@ -/*! - * clipboard.js v2.0.8 - * https://clipboardjs.com/ - * - * Licensed MIT © Zeno Rocha - */ -!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n={686:function(t,e,n){"use strict";n.d(e,{default:function(){return o}});var e=n(279),i=n.n(e),e=n(370),u=n.n(e),e=n(817),c=n.n(e);function a(t){try{return document.execCommand(t)}catch(t){return}}var f=function(t){t=c()(t);return a("cut"),t};var l=function(t){var e,n,o,r=1 - - - - diff --git a/_build/html/_static/copybutton.css b/_build/html/_static/copybutton.css deleted file mode 100644 index f1916ec..0000000 --- a/_build/html/_static/copybutton.css +++ /dev/null @@ -1,94 +0,0 @@ -/* Copy buttons */ -button.copybtn { - position: absolute; - display: flex; - top: .3em; - right: .3em; - width: 1.7em; - height: 1.7em; - opacity: 0; - transition: opacity 0.3s, border .3s, background-color .3s; - user-select: none; - padding: 0; - border: none; - outline: none; - border-radius: 0.4em; - /* The colors that GitHub uses */ - border: #1b1f2426 1px solid; - background-color: #f6f8fa; - color: #57606a; -} - -button.copybtn.success { - border-color: #22863a; - color: #22863a; -} - -button.copybtn svg { - stroke: currentColor; - width: 1.5em; - height: 1.5em; - padding: 0.1em; -} - -div.highlight { - position: relative; -} - -/* Show the copybutton */ -.highlight:hover button.copybtn, button.copybtn.success { - opacity: 1; -} - -.highlight button.copybtn:hover { - background-color: rgb(235, 235, 235); -} - -.highlight button.copybtn:active { - background-color: rgb(187, 187, 187); -} - -/** - * A minimal CSS-only tooltip copied from: - * https://codepen.io/mildrenben/pen/rVBrpK - * - * To use, write HTML like the following: - * - *

Short

- */ - .o-tooltip--left { - position: relative; - } - - .o-tooltip--left:after { - opacity: 0; - visibility: hidden; - position: absolute; - content: attr(data-tooltip); - padding: .2em; - font-size: .8em; - left: -.2em; - background: grey; - color: white; - white-space: nowrap; - z-index: 2; - border-radius: 2px; - transform: translateX(-102%) translateY(0); - transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1); -} - -.o-tooltip--left:hover:after { - display: block; - opacity: 1; - visibility: visible; - transform: translateX(-100%) translateY(0); - transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1); - transition-delay: .5s; -} - -/* By default the copy button shouldn't show up when printing a page */ -@media print { - button.copybtn { - display: none; - } -} diff --git a/_build/html/_static/copybutton.js b/_build/html/_static/copybutton.js deleted file mode 100644 index 2ea7ff3..0000000 --- a/_build/html/_static/copybutton.js +++ /dev/null @@ -1,248 +0,0 @@ -// Localization support -const messages = { - 'en': { - 'copy': 'Copy', - 'copy_to_clipboard': 'Copy to clipboard', - 'copy_success': 'Copied!', - 'copy_failure': 'Failed to copy', - }, - 'es' : { - 'copy': 'Copiar', - 'copy_to_clipboard': 'Copiar al portapapeles', - 'copy_success': '¡Copiado!', - 'copy_failure': 'Error al copiar', - }, - 'de' : { - 'copy': 'Kopieren', - 'copy_to_clipboard': 'In die Zwischenablage kopieren', - 'copy_success': 'Kopiert!', - 'copy_failure': 'Fehler beim Kopieren', - }, - 'fr' : { - 'copy': 'Copier', - 'copy_to_clipboard': 'Copier dans le presse-papier', - 'copy_success': 'Copié !', - 'copy_failure': 'Échec de la copie', - }, - 'ru': { - 'copy': 'Скопировать', - 'copy_to_clipboard': 'Скопировать в буфер', - 'copy_success': 'Скопировано!', - 'copy_failure': 'Ðе удалоÑÑŒ Ñкопировать', - }, - 'zh-CN': { - 'copy': 'å¤åˆ¶', - 'copy_to_clipboard': 'å¤åˆ¶åˆ°å‰ªè´´æ¿', - 'copy_success': 'å¤åˆ¶æˆåŠŸ!', - 'copy_failure': 'å¤åˆ¶å¤±è´¥', - }, - 'it' : { - 'copy': 'Copiare', - 'copy_to_clipboard': 'Copiato negli appunti', - 'copy_success': 'Copiato!', - 'copy_failure': 'Errore durante la copia', - } -} - -let locale = 'en' -if( document.documentElement.lang !== undefined - && messages[document.documentElement.lang] !== undefined ) { - locale = document.documentElement.lang -} - -let doc_url_root = DOCUMENTATION_OPTIONS.URL_ROOT; -if (doc_url_root == '#') { - doc_url_root = ''; -} - -/** - * SVG files for our copy buttons - */ -let iconCheck = ` - ${messages[locale]['copy_success']} - - -` - -// If the user specified their own SVG use that, otherwise use the default -let iconCopy = ``; -if (!iconCopy) { - iconCopy = ` - ${messages[locale]['copy_to_clipboard']} - - - -` -} - -/** - * Set up copy/paste for code blocks - */ - -const runWhenDOMLoaded = cb => { - if (document.readyState != 'loading') { - cb() - } else if (document.addEventListener) { - document.addEventListener('DOMContentLoaded', cb) - } else { - document.attachEvent('onreadystatechange', function() { - if (document.readyState == 'complete') cb() - }) - } -} - -const codeCellId = index => `codecell${index}` - -// Clears selected text since ClipboardJS will select the text when copying -const clearSelection = () => { - if (window.getSelection) { - window.getSelection().removeAllRanges() - } else if (document.selection) { - document.selection.empty() - } -} - -// Changes tooltip text for a moment, then changes it back -// We want the timeout of our `success` class to be a bit shorter than the -// tooltip and icon change, so that we can hide the icon before changing back. -var timeoutIcon = 2000; -var timeoutSuccessClass = 1500; - -const temporarilyChangeTooltip = (el, oldText, newText) => { - el.setAttribute('data-tooltip', newText) - el.classList.add('success') - // Remove success a little bit sooner than we change the tooltip - // So that we can use CSS to hide the copybutton first - setTimeout(() => el.classList.remove('success'), timeoutSuccessClass) - setTimeout(() => el.setAttribute('data-tooltip', oldText), timeoutIcon) -} - -// Changes the copy button icon for two seconds, then changes it back -const temporarilyChangeIcon = (el) => { - el.innerHTML = iconCheck; - setTimeout(() => {el.innerHTML = iconCopy}, timeoutIcon) -} - -const addCopyButtonToCodeCells = () => { - // If ClipboardJS hasn't loaded, wait a bit and try again. This - // happens because we load ClipboardJS asynchronously. - if (window.ClipboardJS === undefined) { - setTimeout(addCopyButtonToCodeCells, 250) - return - } - - // Add copybuttons to all of our code cells - const COPYBUTTON_SELECTOR = 'div.highlight pre'; - const codeCells = document.querySelectorAll(COPYBUTTON_SELECTOR) - codeCells.forEach((codeCell, index) => { - const id = codeCellId(index) - codeCell.setAttribute('id', id) - - const clipboardButton = id => - `` - codeCell.insertAdjacentHTML('afterend', clipboardButton(id)) - }) - -function escapeRegExp(string) { - return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string -} - -/** - * Removes excluded text from a Node. - * - * @param {Node} target Node to filter. - * @param {string} exclude CSS selector of nodes to exclude. - * @returns {DOMString} Text from `target` with text removed. - */ -function filterText(target, exclude) { - const clone = target.cloneNode(true); // clone as to not modify the live DOM - if (exclude) { - // remove excluded nodes - clone.querySelectorAll(exclude).forEach(node => node.remove()); - } - return clone.innerText; -} - -// Callback when a copy button is clicked. Will be passed the node that was clicked -// should then grab the text and replace pieces of text that shouldn't be used in output -function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") { - var regexp; - var match; - - // Do we check for line continuation characters and "HERE-documents"? - var useLineCont = !!lineContinuationChar - var useHereDoc = !!hereDocDelim - - // create regexp to capture prompt and remaining line - if (isRegexp) { - regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)') - } else { - regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)') - } - - const outputLines = []; - var promptFound = false; - var gotLineCont = false; - var gotHereDoc = false; - const lineGotPrompt = []; - for (const line of textContent.split('\n')) { - match = line.match(regexp) - if (match || gotLineCont || gotHereDoc) { - promptFound = regexp.test(line) - lineGotPrompt.push(promptFound) - if (removePrompts && promptFound) { - outputLines.push(match[2]) - } else { - outputLines.push(line) - } - gotLineCont = line.endsWith(lineContinuationChar) & useLineCont - if (line.includes(hereDocDelim) & useHereDoc) - gotHereDoc = !gotHereDoc - } else if (!onlyCopyPromptLines) { - outputLines.push(line) - } else if (copyEmptyLines && line.trim() === '') { - outputLines.push(line) - } - } - - // If no lines with the prompt were found then just use original lines - if (lineGotPrompt.some(v => v === true)) { - textContent = outputLines.join('\n'); - } - - // Remove a trailing newline to avoid auto-running when pasting - if (textContent.endsWith("\n")) { - textContent = textContent.slice(0, -1) - } - return textContent -} - - -var copyTargetText = (trigger) => { - var target = document.querySelector(trigger.attributes['data-clipboard-target'].value); - - // get filtered text - let exclude = '.linenos'; - - let text = filterText(target, exclude); - return formatCopyText(text, '', false, true, true, true, '', '') -} - - // Initialize with a callback so we can modify the text before copy - const clipboard = new ClipboardJS('.copybtn', {text: copyTargetText}) - - // Update UI with error/success messages - clipboard.on('success', event => { - clearSelection() - temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_success']) - temporarilyChangeIcon(event.trigger) - }) - - clipboard.on('error', event => { - temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_failure']) - }) -} - -runWhenDOMLoaded(addCopyButtonToCodeCells) \ No newline at end of file diff --git a/_build/html/_static/copybutton_funcs.js b/_build/html/_static/copybutton_funcs.js deleted file mode 100644 index dbe1aaa..0000000 --- a/_build/html/_static/copybutton_funcs.js +++ /dev/null @@ -1,73 +0,0 @@ -function escapeRegExp(string) { - return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string -} - -/** - * Removes excluded text from a Node. - * - * @param {Node} target Node to filter. - * @param {string} exclude CSS selector of nodes to exclude. - * @returns {DOMString} Text from `target` with text removed. - */ -export function filterText(target, exclude) { - const clone = target.cloneNode(true); // clone as to not modify the live DOM - if (exclude) { - // remove excluded nodes - clone.querySelectorAll(exclude).forEach(node => node.remove()); - } - return clone.innerText; -} - -// Callback when a copy button is clicked. Will be passed the node that was clicked -// should then grab the text and replace pieces of text that shouldn't be used in output -export function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") { - var regexp; - var match; - - // Do we check for line continuation characters and "HERE-documents"? - var useLineCont = !!lineContinuationChar - var useHereDoc = !!hereDocDelim - - // create regexp to capture prompt and remaining line - if (isRegexp) { - regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)') - } else { - regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)') - } - - const outputLines = []; - var promptFound = false; - var gotLineCont = false; - var gotHereDoc = false; - const lineGotPrompt = []; - for (const line of textContent.split('\n')) { - match = line.match(regexp) - if (match || gotLineCont || gotHereDoc) { - promptFound = regexp.test(line) - lineGotPrompt.push(promptFound) - if (removePrompts && promptFound) { - outputLines.push(match[2]) - } else { - outputLines.push(line) - } - gotLineCont = line.endsWith(lineContinuationChar) & useLineCont - if (line.includes(hereDocDelim) & useHereDoc) - gotHereDoc = !gotHereDoc - } else if (!onlyCopyPromptLines) { - outputLines.push(line) - } else if (copyEmptyLines && line.trim() === '') { - outputLines.push(line) - } - } - - // If no lines with the prompt were found then just use original lines - if (lineGotPrompt.some(v => v === true)) { - textContent = outputLines.join('\n'); - } - - // Remove a trailing newline to avoid auto-running when pasting - if (textContent.endsWith("\n")) { - textContent = textContent.slice(0, -1) - } - return textContent -} diff --git a/_build/html/_static/design-tabs.js b/_build/html/_static/design-tabs.js deleted file mode 100644 index b25bd6a..0000000 --- a/_build/html/_static/design-tabs.js +++ /dev/null @@ -1,101 +0,0 @@ -// @ts-check - -// Extra JS capability for selected tabs to be synced -// The selection is stored in local storage so that it persists across page loads. - -/** - * @type {Record} - */ -let sd_id_to_elements = {}; -const storageKeyPrefix = "sphinx-design-tab-id-"; - -/** - * Create a key for a tab element. - * @param {HTMLElement} el - The tab element. - * @returns {[string, string, string] | null} - The key. - * - */ -function create_key(el) { - let syncId = el.getAttribute("data-sync-id"); - let syncGroup = el.getAttribute("data-sync-group"); - if (!syncId || !syncGroup) return null; - return [syncGroup, syncId, syncGroup + "--" + syncId]; -} - -/** - * Initialize the tab selection. - * - */ -function ready() { - // Find all tabs with sync data - - /** @type {string[]} */ - let groups = []; - - document.querySelectorAll(".sd-tab-label").forEach((label) => { - if (label instanceof HTMLElement) { - let data = create_key(label); - if (data) { - let [group, id, key] = data; - - // add click event listener - // @ts-ignore - label.onclick = onSDLabelClick; - - // store map of key to elements - if (!sd_id_to_elements[key]) { - sd_id_to_elements[key] = []; - } - sd_id_to_elements[key].push(label); - - if (groups.indexOf(group) === -1) { - groups.push(group); - // Check if a specific tab has been selected via URL parameter - const tabParam = new URLSearchParams(window.location.search).get( - group - ); - if (tabParam) { - console.log( - "sphinx-design: Selecting tab id for group '" + - group + - "' from URL parameter: " + - tabParam - ); - window.sessionStorage.setItem(storageKeyPrefix + group, tabParam); - } - } - - // Check is a specific tab has been selected previously - let previousId = window.sessionStorage.getItem( - storageKeyPrefix + group - ); - if (previousId === id) { - // console.log( - // "sphinx-design: Selecting tab from session storage: " + id - // ); - // @ts-ignore - label.previousElementSibling.checked = true; - } - } - } - }); -} - -/** - * Activate other tabs with the same sync id. - * - * @this {HTMLElement} - The element that was clicked. - */ -function onSDLabelClick() { - let data = create_key(this); - if (!data) return; - let [group, id, key] = data; - for (const label of sd_id_to_elements[key]) { - if (label === this) continue; - // @ts-ignore - label.previousElementSibling.checked = true; - } - window.sessionStorage.setItem(storageKeyPrefix + group, id); -} - -document.addEventListener("DOMContentLoaded", ready, false); diff --git a/_build/html/_static/doctools.js b/_build/html/_static/doctools.js deleted file mode 100644 index 4d67807..0000000 --- a/_build/html/_static/doctools.js +++ /dev/null @@ -1,156 +0,0 @@ -/* - * doctools.js - * ~~~~~~~~~~~ - * - * Base JavaScript utilities for all Sphinx HTML documentation. - * - * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS. - * :license: BSD, see LICENSE for details. - * - */ -"use strict"; - -const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([ - "TEXTAREA", - "INPUT", - "SELECT", - "BUTTON", -]); - -const _ready = (callback) => { - if (document.readyState !== "loading") { - callback(); - } else { - document.addEventListener("DOMContentLoaded", callback); - } -}; - -/** - * Small JavaScript module for the documentation. - */ -const Documentation = { - init: () => { - Documentation.initDomainIndexTable(); - Documentation.initOnKeyListeners(); - }, - - /** - * i18n support - */ - TRANSLATIONS: {}, - PLURAL_EXPR: (n) => (n === 1 ? 0 : 1), - LOCALE: "unknown", - - // gettext and ngettext don't access this so that the functions - // can safely bound to a different name (_ = Documentation.gettext) - gettext: (string) => { - const translated = Documentation.TRANSLATIONS[string]; - switch (typeof translated) { - case "undefined": - return string; // no translation - case "string": - return translated; // translation exists - default: - return translated[0]; // (singular, plural) translation tuple exists - } - }, - - ngettext: (singular, plural, n) => { - const translated = Documentation.TRANSLATIONS[singular]; - if (typeof translated !== "undefined") - return translated[Documentation.PLURAL_EXPR(n)]; - return n === 1 ? singular : plural; - }, - - addTranslations: (catalog) => { - Object.assign(Documentation.TRANSLATIONS, catalog.messages); - Documentation.PLURAL_EXPR = new Function( - "n", - `return (${catalog.plural_expr})` - ); - Documentation.LOCALE = catalog.locale; - }, - - /** - * helper function to focus on search bar - */ - focusSearchBar: () => { - document.querySelectorAll("input[name=q]")[0]?.focus(); - }, - - /** - * Initialise the domain index toggle buttons - */ - initDomainIndexTable: () => { - const toggler = (el) => { - const idNumber = el.id.substr(7); - const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`); - if (el.src.substr(-9) === "minus.png") { - el.src = `${el.src.substr(0, el.src.length - 9)}plus.png`; - toggledRows.forEach((el) => (el.style.display = "none")); - } 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a/_build/html/_static/language_data.js b/_build/html/_static/language_data.js deleted file mode 100644 index 367b8ed..0000000 --- a/_build/html/_static/language_data.js +++ /dev/null @@ -1,199 +0,0 @@ -/* - * language_data.js - * ~~~~~~~~~~~~~~~~ - * - * This script contains the language-specific data used by searchtools.js, - * namely the list of stopwords, stemmer, scorer and splitter. - * - * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS. - * :license: BSD, see LICENSE for details. - * - */ - -var stopwords = ["a", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "near", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with"]; - - -/* Non-minified version is copied as a separate JS file, if available */ - -/** - * Porter Stemmer - */ -var Stemmer = function() { - - var step2list = { - ational: 'ate', - tional: 'tion', - enci: 'ence', - anci: 'ance', - izer: 'ize', - bli: 'ble', - alli: 'al', - entli: 'ent', - eli: 'e', - ousli: 'ous', - ization: 'ize', - ation: 'ate', - ator: 'ate', - alism: 'al', - iveness: 'ive', - fulness: 'ful', - ousness: 'ous', - aliti: 'al', - iviti: 'ive', - biliti: 'ble', - logi: 'log' - }; - - var step3list = { - icate: 'ic', - ative: '', - alize: 'al', - iciti: 'ic', - ical: 'ic', - ful: '', - ness: '' - }; - - var c = "[^aeiou]"; // consonant - var v = "[aeiouy]"; // vowel - var C = c + "[^aeiouy]*"; // consonant sequence - var V = v + "[aeiou]*"; // vowel sequence - - var mgr0 = "^(" + C + ")?" + V + C; // [C]VC... is m>0 - var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$"; // [C]VC[V] is m=1 - var mgr1 = "^(" + C + ")?" + V + C + V + C; // [C]VCVC... is m>1 - var s_v = "^(" + C + ")?" + v; // vowel in stem - - this.stemWord = function (w) { - var stem; - var suffix; - var firstch; - var origword = w; - - if (w.length < 3) - return w; - - var re; - var re2; - var re3; - var re4; - - firstch = w.substr(0,1); - if (firstch == "y") - w = firstch.toUpperCase() + w.substr(1); - - // Step 1a - re = /^(.+?)(ss|i)es$/; - re2 = /^(.+?)([^s])s$/; - - if (re.test(w)) - w = w.replace(re,"$1$2"); - else if (re2.test(w)) - w = w.replace(re2,"$1$2"); - - // Step 1b - re = /^(.+?)eed$/; - re2 = /^(.+?)(ed|ing)$/; - if (re.test(w)) { - var fp = re.exec(w); - re = new RegExp(mgr0); - if (re.test(fp[1])) { - re = /.$/; - w = w.replace(re,""); - } - } - else if (re2.test(w)) { - var fp = re2.exec(w); - stem = fp[1]; - re2 = new RegExp(s_v); - if (re2.test(stem)) { - w = stem; - re2 = /(at|bl|iz)$/; - re3 = new RegExp("([^aeiouylsz])\\1$"); - re4 = new RegExp("^" + C + v + "[^aeiouwxy]$"); - if (re2.test(w)) - w = w + "e"; - else if (re3.test(w)) { - re = /.$/; - w = w.replace(re,""); - } - else if (re4.test(w)) - w = w + "e"; - } - } - - // Step 1c - re = /^(.+?)y$/; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - re = new RegExp(s_v); - if (re.test(stem)) - w = stem + "i"; - } - - // Step 2 - re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - suffix = fp[2]; - re = new RegExp(mgr0); - if (re.test(stem)) - w = stem + step2list[suffix]; - } - - // Step 3 - re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - suffix = fp[2]; - re = new RegExp(mgr0); - if (re.test(stem)) - w = stem + step3list[suffix]; - } - - // Step 4 - re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/; - re2 = /^(.+?)(s|t)(ion)$/; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - re = new RegExp(mgr1); - if (re.test(stem)) - w = stem; - } - else if (re2.test(w)) { - var fp = re2.exec(w); - stem = fp[1] + fp[2]; - re2 = new RegExp(mgr1); - if (re2.test(stem)) - w = stem; - } - - // Step 5 - re = /^(.+?)e$/; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - re = new RegExp(mgr1); - re2 = new RegExp(meq1); - re3 = new RegExp("^" + C + v + "[^aeiouwxy]$"); - if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) - w = stem; - } - re = /ll$/; - re2 = new RegExp(mgr1); - if (re.test(w) && re2.test(w)) { - re = /.$/; - w = w.replace(re,""); - } - - // and turn initial Y back to y - if (firstch == "y") - w = firstch.toLowerCase() + w.substr(1); - return w; - } -} - diff --git a/_build/html/_static/locales/ar/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/ar/LC_MESSAGES/booktheme.mo deleted file mode 100644 index 15541a6a375f93efed3f410c2f892174ba91aaa0..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1541 zcmZvaJ!}+56vrn40$lhsA5n;v39lh z&UUPnK|(?lfROD&7suGxxK0yMQ@o*|gesy+5vu&(?mBh?qn-WTn|=G<|NZw~b#1&Y zus*}?#(shQ752{`;fA&4V5qyTPS`e-!60i}(%5{r(0^;D!zP`#V66yFspV7<>kvF5*86z5`j$ z=8ez}?gu^a8}Li;DtHLIQScsk0P*i2&-V)CK7WC%Q*07qAJ7GU4juvd{a%p0tQWim zeu4N7$oY#!{2XK-Ul-?ZLAIP{VE@?5Oee^5uV0WLc46~8yjT}6*2P}4uiOhI#i!V; zXZ>RTx%Xyl*phu;(K~`m+PV^FjkZeL1V5sYI1K7moHI9c!}v9+ja5U&{2;G|4YhWh zm^7}c{~g+Tn8?Tvl<2F47Nu9i{l>4L9=6uy?FAD0FiY3w(=eiIKTWvQbqOe&{(Wd5^qM9YH}dGcsaNzja& zq-k29Wt#nO;9At7wwrWQc-|J&abpO^Bu%@f8>dB@7kE5QPu!GiO4q{asH8bJN^P3Y zvv7uYJM=8C@P0OzYSB}gLot+ZNt#(-bAo@Zj6?Yfp?anYnoPQR?;I# z{we#%LHPn31obOfkF`-+I9KUX>gUj zW@~ diff --git a/_build/html/_static/locales/ar/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/ar/LC_MESSAGES/booktheme.po deleted file mode 100644 index 34d404c..0000000 --- a/_build/html/_static/locales/ar/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: ar\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "طباعة إلى PDF" - -msgid "Theme by the" -msgstr "موضوع بواسطة" - -msgid "Download source file" -msgstr "تنزيل مل٠المصدر" - -msgid "open issue" -msgstr "قضية Ù…Ùتوحة" - -msgid "Contents" -msgstr "محتويات" - -msgid "previous page" -msgstr "الصÙحة السابقة" - -msgid "Download notebook file" -msgstr "تنزيل مل٠دÙتر الملاحظات" - -msgid "Copyright" -msgstr "حقوق النشر" - -msgid "Download this page" -msgstr "قم بتنزيل هذه الصÙحة" - -msgid "Source repository" -msgstr "مستودع المصدر" - -msgid "By" -msgstr "بواسطة" - -msgid "repository" -msgstr "مخزن" - -msgid "Last updated on" -msgstr "آخر تحديث ÙÙŠ" - -msgid "Toggle navigation" -msgstr "تبديل التنقل" - -msgid "Sphinx Book Theme" -msgstr "موضوع كتاب أبو الهول" - -msgid "suggest edit" -msgstr "أقترح تحرير" - -msgid "Open an issue" -msgstr "اÙتح قضية" - -msgid "Launch" -msgstr "إطلاق" - -msgid "Fullscreen mode" -msgstr "وضع ملء الشاشة" - -msgid "Edit this page" -msgstr "قم بتحرير هذه الصÙحة" - -msgid "By the" -msgstr "بواسطة" - -msgid "next page" -msgstr "الصÙحة التالية" diff --git a/_build/html/_static/locales/bg/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/bg/LC_MESSAGES/booktheme.mo deleted file mode 100644 index da95120037f8d7c52ad1f166a7682ea55ca47a01..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1708 zcmaKqOKcQJ5QaOv0vkhkhC?jT2nh&cNkBwFYxY90B_t3AOpcMpyUpy7b@wpSL+}lZ zc_s=RKte*|C2`<_7URcy7jLdPR->G9h;qvTamgjhjlX8bj}R-P?fIs=y6dm{dw*ZQ z?5@DG8KWEHSBxzfKYoB0o|Q|4z)!5gYX#T^t^_xLtH5sX6L34Y5iEo2!IR(`P=OzV zHs>hFdG3I#!TVqr_zYYJPUie2U;izi{|U0*KVSh|x->h#2IP4+$a!{vO>jTB41AmO zFOci|8~haPLhws)C%7B@Hs=rEKFpioR`3nD2VA{8JAV*le@=j0?>TT6cp2OVJ_ot4 z*WiBe50LY0LeuQ=S0K-igY45ea0fUFvgOv1JgO3NWrRpO`@TbYDa&#J04 z8uLU~YT|f^4W5=k94AWjM}bBXBl{2ciBp+gq(T!1)p!vCDOMX z%z7FyzF${Td*=h+vjIf3x?r>F4C`bfVWiFnCdtcQkUma)U!h8cPEd+Dt17m5q+0w& zMKQ9KWTsza{bH(IICkV%?|gjko-YcyvBiPmP?e-b0iTC;FVH=*QuCr%+4AXuzT$!T zeUYc*Gb$?f>WZlb+AqligMlp^^|YVB*ODCc3;p#Z^6JGt6Ai^Bsl#*{m-qF^?6bU6 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- -msgid "previous page" -msgstr "предишна Ñтраница" - -msgid "Download notebook file" -msgstr "Изтеглете файла на бележника" - -msgid "Copyright" -msgstr "ÐвторÑко право" - -msgid "Download this page" -msgstr "Изтеглете тази Ñтраница" - -msgid "Source repository" -msgstr "Хранилище на източника" - -msgid "By" -msgstr "От" - -msgid "repository" -msgstr "хранилище" - -msgid "Last updated on" -msgstr "ПоÑледна Ð°ÐºÑ‚ÑƒÐ°Ð»Ð¸Ð·Ð°Ñ†Ð¸Ñ Ð½Ð°" - -msgid "Toggle navigation" -msgstr "Превключване на навигациÑта" - -msgid "Sphinx Book Theme" -msgstr "Тема на книгата Sphinx" - -msgid "suggest edit" -msgstr "предложи редактиране" - -msgid "Open an issue" -msgstr "Отворете проблем" - -msgid "Launch" -msgstr "Стартиране" - -msgid "Fullscreen mode" -msgstr "Режим на цÑл екран" - -msgid "Edit this page" -msgstr "Редактирайте тази Ñтраница" - -msgid "By the" -msgstr "По" - -msgid "next page" -msgstr "Следваща Ñтраница" diff --git a/_build/html/_static/locales/bn/LC_MESSAGES/booktheme.mo 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-msgid "Copyright" -msgstr "autorská práva" - -msgid "Download this page" -msgstr "StáhnÄ›te si tuto stránku" - -msgid "Source repository" -msgstr "Zdrojové úložiÅ¡tÄ›" - -msgid "By" -msgstr "Podle" - -msgid "repository" -msgstr "úložiÅ¡tÄ›" - -msgid "Last updated on" -msgstr "Naposledy aktualizováno" - -msgid "Toggle navigation" -msgstr "PÅ™epnout navigaci" - -msgid "Sphinx Book Theme" -msgstr "Téma knihy Sfinga" - -msgid "suggest edit" -msgstr "navrhnout úpravy" - -msgid "Open an issue" -msgstr "OtevÅ™ete problém" - -msgid "Launch" -msgstr "Zahájení" - -msgid "Fullscreen mode" -msgstr "Režim celé obrazovky" - -msgid "Edit this page" -msgstr "Upravit tuto stránku" - -msgid "By the" -msgstr "Podle" - -msgid "next page" -msgstr "další strana" diff --git a/_build/html/_static/locales/da/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/da/LC_MESSAGES/booktheme.mo deleted file mode 100644 index f43157d70c63ff21b4385dc36cb73f5b14eb6b01..0000000000000000000000000000000000000000 GIT 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"Download notebook file" -msgstr "Notebook-Datei herunterladen" - -msgid "Copyright" -msgstr "Urheberrechte ©" - -msgid "Download this page" -msgstr "Laden Sie diese Seite herunter" - -msgid "Source repository" -msgstr "Quell-Repository" - -msgid "By" -msgstr "Durch" - -msgid "repository" -msgstr "Repository" - -msgid "Last updated on" -msgstr "Zuletzt aktualisiert am" - -msgid "Toggle navigation" -msgstr "Navigation umschalten" - -msgid "Sphinx Book Theme" -msgstr "Sphinx-Buch-Thema" - -msgid "suggest edit" -msgstr "vorschlagen zu bearbeiten" - -msgid "Open an issue" -msgstr "Öffnen Sie ein Problem" - -msgid "Launch" -msgstr "Starten" - -msgid "Fullscreen mode" -msgstr "Vollbildmodus" - -msgid "Edit this page" -msgstr "Bearbeite diese Seite" - -msgid "By the" -msgstr "Bis zum" - -msgid "next page" -msgstr "Nächste Seite" diff --git a/_build/html/_static/locales/el/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/el/LC_MESSAGES/booktheme.mo deleted file mode 100644 index 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al PDF" - -msgid "Theme by the" -msgstr "Temo de la" - -msgid "Download source file" -msgstr "ElÅutu fontodosieron" - -msgid "open issue" -msgstr "malferma numero" - -msgid "Contents" -msgstr "Enhavo" - -msgid "previous page" -msgstr "antaÅ­a paÄo" - -msgid "Download notebook file" -msgstr "ElÅutu kajeran dosieron" - -msgid "Copyright" -msgstr "Kopirajto" - -msgid "Download this page" -msgstr "ElÅutu ĉi tiun paÄon" - -msgid "Source repository" -msgstr "Fonto-deponejo" - -msgid "By" -msgstr "De" - -msgid "repository" -msgstr "deponejo" - -msgid "Last updated on" -msgstr "Laste Äisdatigita la" - -msgid "Toggle navigation" -msgstr "Åœalti navigadon" - -msgid "Sphinx Book Theme" -msgstr "Sfinksa Libro-Temo" - -msgid "suggest edit" -msgstr "sugesti redaktadon" - -msgid "Open an issue" -msgstr "Malfermu numeron" - -msgid "Launch" -msgstr "Lanĉo" - -msgid "Fullscreen mode" -msgstr "Plenekrana reÄimo" - -msgid "Edit this page" -msgstr "Redaktu ĉi tiun paÄon" - -msgid "By the" -msgstr "Per la" - -msgid "next page" -msgstr "sekva paÄo" diff --git a/_build/html/_static/locales/es/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/es/LC_MESSAGES/booktheme.mo deleted file mode 100644 index ba2ee4dc22148ed53f2aeba32c5965654d4a5a2f..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1396 zcmZ9Kzi$;s5XU#z;m3pU!zKwxjKJWQQZ~wEO{|$=X8*l*5%yj3EgEC(L#m|@E3-CIKPyLHQ^!@|o{A*Bj z4$La`8F(5z16~6q{%=5u|2}vYjQ#o}@F?a_K{@|BDEE2^ehj_>C4c{bvhUD`U0&uv z*?$p~_`U+=+!`qRz6aYpfs%6BBl;4{Ji6po;@;mNp-!U9Icai#X`&;(C9e__T(%nW zw)>mpL*DQZy5tBcRcdJ)pH3yKo8BdMDdMNz4yGuRTJ{f|^^|Mp6HmSWQEwW{d*1tzb%mTC1mCsq-qL_43=ae|t-eKOjtW>vaY#^sij18-e zU>uxyy|KKi?sj^CYadPWVO!m;OXD8uC5dfPa>c40^|ZUw#21BS?P$vslng{1KTKV8 zUUWKW55MCO;ccWl{h{a&Tjjy}+WN}g`qfKU z27O|OlkJ*EIw63|wI$;gbyiY{oW}PitHT?6`vSSR$zizSGM^h)jP#AENrPMDiUxTd zX^w*p+XS-1RUfK2(ynf&aeQr2cfaHFPM;g=s}~jrYQqQVnr;8cCiiNY181d=I%iD{ zk_k)9C=?Vlg{(ANUY4?kat==RzrVWKpj=Q5{Q{y&B&juy+NY=9viqbpt^2(7Sd&X+ zE$PfxwdF+Wo=v7AO<8KlnjOl_?lY%ZD#GnhWgz3#*VABvZk(=zpIWX+tyOg}6^wXC zsg65u%fhre9yJUf6KusrthQzv+672++(cecEV5X4sri<+xahTU@tQ2Tj8rs5BN4#T iU!*-mQ^Nsab@xTRCJqKkd{;ciD^w4Rh!536LH!R)!cyS? diff --git a/_build/html/_static/locales/es/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/es/LC_MESSAGES/booktheme.po deleted file mode 100644 index 5e0029e..0000000 --- a/_build/html/_static/locales/es/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: es\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "Imprimir en PDF" - -msgid "Theme by the" -msgstr "Tema por el" - -msgid "Download source file" -msgstr "Descargar archivo fuente" - -msgid "open issue" -msgstr "Tema abierto" - -msgid "Contents" -msgstr "Contenido" - -msgid "previous page" -msgstr "pagina anterior" - -msgid "Download notebook file" -msgstr "Descargar archivo de cuaderno" - -msgid "Copyright" -msgstr "Derechos de autor" - -msgid "Download this page" -msgstr "Descarga esta pagina" - -msgid "Source repository" -msgstr "Repositorio de origen" - -msgid "By" -msgstr "Por" - -msgid "repository" -msgstr "repositorio" - -msgid "Last updated on" -msgstr "Ultima actualización en" - -msgid "Toggle navigation" -msgstr "Navegación de palanca" - -msgid "Sphinx Book Theme" -msgstr "Tema del libro de la esfinge" - -msgid "suggest edit" -msgstr "sugerir editar" - -msgid "Open an issue" -msgstr "Abrir un problema" - -msgid "Launch" -msgstr "Lanzamiento" - -msgid "Fullscreen mode" -msgstr "Modo de pantalla completa" - -msgid "Edit this page" -msgstr "Edita esta página" - -msgid "By the" -msgstr "Por el" - -msgid "next page" -msgstr "siguiente página" diff --git a/_build/html/_static/locales/et/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/et/LC_MESSAGES/booktheme.mo deleted file mode 100644 index 983b82391f499b67a9046c15d0dd8744650ad925..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1341 zcmZ9Kzi%8x6vqb=^5gOYNC*@$VrY^ev%C-5~0q6cNoSQvQHcDIz*5N(ux8-*>yj7Nec{?37 zm@hCt!hG}w7K~$WDuqWK$8rQb2_6H_g2%xn@O|(C_#QX{&wyWnr$GYW22;<6py+%D zo&tXWPl7*z?}ESdeBSTB?Csw{@%I-v01qANzCR6$y#$KRMeqsu1$Y$v1AGho6Fdz5 z4az++J_JsIlKZFNIq(K3aoh#Zg45o90E(Y)LCNb!P;`Fo`2>{wpMm1IA0b zcW{Vb>7mpIdO`vjME%rCbb#Z zLB#9Ln`>&T^B1V~k&_R*YOAf;-PhM8wsB1jsl}?dyPU?psw`<|W?Y%XaN_8G>Z0@F zr*qN&8_XbscI- zgH4-*vBjDXO&n_1F3dRkd|7v|qf1VIJknP`Sstj{^T%OktXj#ancCu*yH}n+<|;=N z-jrOCj`OFMOqk`wddINU##;0GR19tBdvzi?e7zruw52+Aw>NT5Q%F&X%h*Lj=6f7z z8jNuq=-IE#jk<#c{m?m+L;rJ$825O_Nq(D^8CKl}zio+{#UD_z^uJ)WVl7Wi?YTr` zTRZHgk)aH+jLK4D)OfM3BNeE1ohJ(1utQX6H>rE`y-+P|2~e4t1fZw$r;!^}gUIe5 P_MW2m5}a<3ol*Y+f5$~k diff --git a/_build/html/_static/locales/et/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/et/LC_MESSAGES/booktheme.po deleted file mode 100644 index 8680982..0000000 --- a/_build/html/_static/locales/et/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: et\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "Prindi PDF-i" - -msgid "Theme by the" -msgstr "Teema" - -msgid "Download source file" -msgstr "Laadige alla lähtefail" - -msgid "open issue" -msgstr "avatud küsimus" - -msgid "Contents" -msgstr "Sisu" - -msgid "previous page" -msgstr "eelmine leht" - -msgid "Download notebook file" -msgstr "Laadige sülearvuti fail alla" - -msgid "Copyright" -msgstr "Autoriõigus" - -msgid "Download this page" -msgstr "Laadige see leht alla" - -msgid "Source repository" -msgstr "Allikahoidla" - -msgid "By" -msgstr "Kõrval" - -msgid "repository" -msgstr "hoidla" - -msgid "Last updated on" -msgstr "Viimati uuendatud" - -msgid "Toggle navigation" -msgstr "Lülita navigeerimine sisse" - -msgid "Sphinx Book Theme" -msgstr "Sfinksiraamatu teema" - -msgid "suggest edit" -msgstr "soovita muuta" - -msgid "Open an issue" -msgstr "Avage probleem" - -msgid "Launch" -msgstr "Käivitage" - -msgid "Fullscreen mode" -msgstr "Täisekraanirežiim" - -msgid "Edit this page" -msgstr "Muutke seda lehte" - -msgid "By the" -msgstr "Autor" - -msgid "next page" -msgstr "järgmine leht" diff --git a/_build/html/_static/locales/fi/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/fi/LC_MESSAGES/booktheme.mo deleted file mode 100644 index d8ac054597c924e3010f629caeac1c748b7211cd..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1368 zcmZ9KJ#5r46vquMU&lA4Af!r|g^wXX5kqz52B58kprWEjclYv|xbfLh>>S*}#K;Cr ztS2O9B*cCTVrBw~l?gF1AR)y6B`K}2;{5K}=lB1=7k@o5`BGq<#+lRCrOA1CaQ!^kKlhsTrZJIH9K_^ryK`_q_#3i5+EIO9achW2 zhLpr@X9L;b@gpA=I!S|AaF48UDwfs-T6Zp!8`{wJvUg?CqyH8|s=drrLSix20jamb zrP3JRD~PP@yO_j1<%2BqSOtouvxrOEOU3;he^6Fx?@JOZg|3?XUWo3*(Ha#V+1j$!k61sdlv~SpmKV48XD?rEHI0qB!<^bOz`&KTmRqe+kV}^cf!#bT&>G1)AQnFuaA9SXR zO>~T6=Ywl@%y^W>^xt9_kNV@0^m3c4B9BMrgfh( zuVp?S>46Ru!ccTe7eieYS*GF0;G*3eAeplXnZCllffvOWA=>i5w+5yH-zgk~ao1dl zs44(@M0}Rt9Mp|iQ#yrKbuAq3msY|P`l$x0E<_Em{7-o?CS$aPMpfmO5T&sTb;r2u H66VBTf3Z^G diff --git a/_build/html/_static/locales/fi/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/fi/LC_MESSAGES/booktheme.po deleted file mode 100644 index 34dac21..0000000 --- a/_build/html/_static/locales/fi/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: fi\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "Tulosta PDF-tiedostoon" - -msgid "Theme by the" -msgstr "Teeman tekijä" - -msgid "Download source file" -msgstr "Lataa lähdetiedosto" - -msgid "open issue" -msgstr "avoin ongelma" - -msgid "Contents" -msgstr "Sisällys" - -msgid "previous page" -msgstr "Edellinen sivu" - -msgid "Download notebook file" -msgstr "Lataa muistikirjatiedosto" - -msgid "Copyright" -msgstr "Tekijänoikeus" - -msgid "Download this page" -msgstr "Lataa tämä sivu" - -msgid "Source repository" -msgstr "Lähteen arkisto" - -msgid "By" -msgstr "Tekijä" - -msgid "repository" -msgstr "arkisto" - -msgid "Last updated on" -msgstr "Viimeksi päivitetty" - -msgid "Toggle navigation" -msgstr "Vaihda navigointia" - -msgid "Sphinx Book Theme" -msgstr "Sphinx-kirjan teema" - -msgid "suggest edit" -msgstr "ehdottaa muokkausta" - -msgid "Open an issue" -msgstr "Avaa ongelma" - -msgid "Launch" -msgstr "Tuoda markkinoille" - -msgid "Fullscreen mode" -msgstr "Koko näytön tila" - -msgid "Edit this page" -msgstr "Muokkaa tätä sivua" - -msgid "By the" -msgstr "Mukaan" - -msgid "next page" -msgstr "seuraava sivu" diff --git a/_build/html/_static/locales/fr/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/fr/LC_MESSAGES/booktheme.mo deleted file mode 100644 index f663d39f0faa76c5b9bd504c51252eef74cca5de..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1412 zcmZ{jJ!}+56vv0pm9t{vhm&8^IIO`h6wqyy*798~B-FLeKdo!!~aIl*+ zlr)i&DosjGX-Sm+nxs!ffzqWyh>mpmzuUEJBQe_9-_FOq|NFX^vnPL27*{aoG5^N= z4D;zRyf9{tD}_g$!Rs`57MuYuf@i>a@G^KEoCEvdEO-|@2Qqjbj4hvlV&_NjBk*VN zEI0-~27hn)XS@HRUH=P;-hW^RJaMA={W(z9^Pt$d0saAg1L9Gy@DjZ@;0NGaQ2bFR zmAVF8043f<@DuPZcoBRAia+0jpMpPtqW^1q{u?N9{{>2%|FrAZpu~0hRC7KD%K8iN z5_lUFyPKf+qrt170VU-UgXB+gDSn8C=pG)BP!}*oSBAtdL+nayq9N(OOB9IrIvT`P%K$}>uh8j13v0qZ;CRi75AO3oX*L*$lK06qM@nyU^}?vGk#|? zmL^cG3s$SSi7>stTuW6IGS6&j2uDVy3#y+NH@oiA@h}HB>+f7UZR}>YK)jOup(LluVV6L*Ln| zlGjyt&G}L2k*%l8&|h4l=Cgm((zQMpFVk1~#tn>=qIhM|}`x`)$>jU}ieUbVvBn#nWIG%|r{ z@(VpgvBl*|+YE)ZQEjFj&wG?C)!uDalV>RR`l$A11nWA{5XsPS+9@lOaXon+Y2Ue0 zE>oVUGO*E>4ZSkmuAAH}>yV{N!q_?5zAzp!&O#! TA2+cw{Vw>h7Yg+MtLz81? diff --git a/_build/html/_static/locales/fr/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/fr/LC_MESSAGES/booktheme.po deleted file mode 100644 index 8991a1b..0000000 --- a/_build/html/_static/locales/fr/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: fr\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "Imprimer au format PDF" - -msgid "Theme by the" -msgstr "Thème par le" - -msgid "Download source file" -msgstr "Télécharger le fichier source" - -msgid "open issue" -msgstr "signaler un problème" - -msgid "Contents" -msgstr "Contenu" - -msgid "previous page" -msgstr "page précédente" - -msgid "Download notebook file" -msgstr "Télécharger le fichier notebook" - -msgid "Copyright" -msgstr "droits d'auteur" - -msgid "Download this page" -msgstr "Téléchargez cette page" - -msgid "Source repository" -msgstr "Dépôt source" - -msgid "By" -msgstr "Par" - -msgid "repository" -msgstr "dépôt" - -msgid "Last updated on" -msgstr "Dernière mise à jour le" - -msgid "Toggle navigation" -msgstr "Basculer la navigation" - -msgid "Sphinx Book Theme" -msgstr "Thème du livre Sphinx" - -msgid "suggest edit" -msgstr "suggestion de modification" - -msgid "Open an issue" -msgstr "Ouvrez un problème" - -msgid "Launch" -msgstr "lancement" - -msgid "Fullscreen mode" -msgstr "Mode plein écran" - -msgid "Edit this page" -msgstr "Modifier cette page" - -msgid "By the" -msgstr "Par le" - -msgid "next page" -msgstr "page suivante" diff --git a/_build/html/_static/locales/hr/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/hr/LC_MESSAGES/booktheme.mo deleted file mode 100644 index eca4a1a2842830f06bd5f6235bf01d07bdd313d2..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1402 zcmZ9KJ!~9B6vu}+kmLvh)-Bbu!YZ&sL*)#Wq0oOW>)iY z#I7UJKoJQlD$3MIh{}~uqNJdrprN2bqC$d-|Jz;1r;K*?xAU?8_kVBZ_tmrCDzsP8 z*U*1Oe;xg+XYfKhe?}=h>H=QRffvE^;1%!!xCXugz6HJv4#8FMQ}7bV;EQ1F_z)DG zZ@?G8@4$=TWAG*L$BsXD^S^cDKS7E2FW3WDR@(nBfihkLMdxksC-6Fmt?DmO{`(sg z-~WN)YvpX4?<)8j#_OQu@i8cQeBP}`P-^oC6rIQ5W$*{^dGHvNe1GZqM>qcuD0MvZ zY`gv@DF5B)#v@RCe+FI!b5KeyIf$NkxPmU8B<^y9bfYDCNE01tQa`D+)KxSg*?1KH z%T4MpwK#{4ax`^Pw+`@7ELnZzY-Ae)KI#K+iZZI(?h9Kvos)Hu_nn*4eN*x2ba2UM z{M2MDO`uvAtTuBKA$>9&rK$>r--+ODxdTQVUeRy*EU zh&bB0JyN@EJkPZYCOUthcI(pE2XsrkjZ2=fYTmTp<}`LiQ88IPH-(M{K`cLrtve@i z+90*(xpAqpy(Aw}Q7~LGGJzF0;VkyI^8P*c0crzk0e zJ5}W`eCg#p>R8HV8p8`ORd-?8+@kgmPE(NjB4ZRZpsbXo1{+%JywM17c0!7$ZS zdp+04j?>}H5RL>u+?)6`B(!QC;nQ(E%YYHwOi5)9EgF2Tundr{ymsm2Z;f2mKh k(#nYgw(f}olqHrfw@Z7L48TfWxy6y8Q4`jSBkXa^hFIaGO(a}_Drr&ngPIpyPhwkKtCW1zS zxtWoenhB;xBBn-yn24D8zwTalu&Ao9Uv<5s{`Yli#|wdR9BT&a6V_?0r`xb$Ol}tf zQ|!UE3)}}zg45t0a0WaEo&}G9U2qD#3myOoJP3w{Pe6|I9NZ7S1owfj!NcI&h98>q z&yD>JoIl_+xD%H+@5zQ2!9%dS z4R3=dU_S)+f*T;`dD8G1$o{WD_Im?z{P&Ih5#&5yK-S?0$ohz#wGPuD`<((=a*oaa zSxfd~Z8_ffK#0nR_2t3u=fQPw4%YQ37D84vb8p87>(4#hjm4TkQX%F>m@;G}=B){2 zg2zWWayrd|Sg?;xZdD?U4b-=GDA#mOTgTo;H=zFxL#DkfRZ3zp(E*`1&83*aj(wjsI*=O>qg>UnQ5~j z=eV|BMg@s#m;L%pJ)5RENuwU=R0WMBhBiW7o#i}rlG4#5ZDUjRSa=`Plu#w%B`C$N z(;&2$llB909??3o&fn(z?J9F?WqD;KhDS6Yp*?cS)QjtnT^a+xb_X5}DL&Qs{# z?=7`&Y~6Fp_%(9vMKiF8HfcxR=o0auv z_q>s3y7KCU*_ODI6J+IW*=v!hp&aNkC~@B;F{`@wufgMIJ{Em)%}J(mRd82~uKPNE zu!45VT#b~I5H)6^M@|hh?PQ`$a((5ZmR_kKRwzf4qZ=wC=HgJvLU}~a#5@JmHKeM~ zcQ+dhueyjH6-vS(Hi{zy4lKXvX09`YYnog=urAe8uFQH2W~4-u2I{*$(n5sIJAG7C T@Rc+s5Lgrh10CRyRonjp5+F85 diff --git a/_build/html/_static/locales/id/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/id/LC_MESSAGES/booktheme.po deleted file mode 100644 index b8d8d89..0000000 --- a/_build/html/_static/locales/id/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: id\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "Cetak ke PDF" - -msgid "Theme by the" -msgstr "Tema oleh" - -msgid "Download source file" -msgstr "Unduh file sumber" - -msgid "open issue" -msgstr "masalah terbuka" - -msgid "Contents" -msgstr "Isi" - -msgid "previous page" -msgstr "halaman sebelumnya" - -msgid "Download notebook file" -msgstr "Unduh file notebook" - -msgid "Copyright" -msgstr "hak cipta" - -msgid "Download this page" -msgstr "Unduh halaman ini" - -msgid "Source repository" -msgstr "Repositori sumber" - -msgid "By" -msgstr "Oleh" - -msgid "repository" -msgstr "gudang" - -msgid "Last updated on" -msgstr "Terakhir diperbarui saat" - -msgid "Toggle navigation" -msgstr "Alihkan navigasi" - -msgid "Sphinx Book Theme" -msgstr "Tema Buku Sphinx" - -msgid "suggest edit" -msgstr "menyarankan edit" - -msgid "Open an issue" -msgstr "Buka masalah" - -msgid "Launch" -msgstr "Meluncurkan" - -msgid "Fullscreen mode" -msgstr "Mode layar penuh" - -msgid "Edit this page" -msgstr "Edit halaman ini" - -msgid "By the" -msgstr "Oleh" - -msgid "next page" -msgstr "halaman selanjutnya" diff --git a/_build/html/_static/locales/it/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/it/LC_MESSAGES/booktheme.mo deleted file mode 100644 index 53ba476edd2df2a802917e9df402257ceca1a130..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1403 zcmZXSJ&aXF6vsyafhY1QYQiQS8W$5EU!j1vc?Gb$351Os-eM!oynD~ycVOPkWoGWm zTH9#}m5qrNiM6q@vN55xvLLatGO@6+(D*<1-gP%Hxii0e=Htvc|2Z#C?tf~~-bG(P z{{{Vh^sipSfOhD0WAK^77~TMnfQP_S;9+n9db5tC&9bmQINr7VD9+^sD7S+ zZ-HNfN5E&`3Gn-#Klk&$_V(|f-uE{+0Qc?d&L0KUUI5k4BKQM%1;keK2Z+!7i9yf* z1s(_g1vTGe`;B=I{0KY^u7H})r~P~cRhutC&HGzW&wmGM{6B(v?m2h{{0%$^{sW!` z4;<+7S_JjnwcfrBYTWn1Q(y(ER@tjRN(zMHIBUF`R@^(uqn+2D6ew@4L zg5J|zQb*pB(DY&Nai5y1VnoTv1fhfnT;$=ca`*|y1aBki?jP#?!}jLE+O4&f-Stc7 zFAjQPha1~9k0>L63$?T2m#CQ8m^hE`ZLAKj?(U1$r%jH-6<>r>d^Mu0Q^|un)>jR5 z9TALm*F@`vt0B(QhBFUgSr)TwUH`yMh9yxlG%Xix0~y&& z3LB-cB(8l-D%nxCMbU^4uPmkzD-_D^sYeYovZ|_hYt|6+raF6N+B(TUeM703ahwOj z!*UGfp34HuR+WV4?HsPL=1>m45R2fh*HNhPRL3xNJhx_&?Yu^?zAcKo|5pQ*LIIU4 z9%X=yZ5mFd5t*`cmL{7}b7xJ=^_*qP(gmDLw)@AXu2??D^RnquqSO=xr-aR>O-k3u a)*Q3l*@6-(xNK#4xqhOgLbT*tS;gN$Zm<*V0gr*F!6RT6JPeM4`#}XB0Byp@Am^!p`@mOV z7q|)@0zW4Fn)rVt_HU5uZGb6o$Bx$f{UF;tAm=#)eg-dtd%-^-*V_PDx7aDf37`|? zeoukD;5CqS=MqLB_wxkgxVgmt1?-0X4dj{qO1J@X+@W2qe$Rs(cQvs`6FUcTpOYZ# zd6M|6Adj4TU>#hW-}7v_@AidK;vhE9mlyZXi}UiVd9FvXkushE>ug^<53aoj8)J$8 zzT$crKWU3f+%VcIZ9^RVa^Sf|D{h)8T{2EVYGYN-m<~=w|xXST6$p^DKQdw8cB>C zxj87tTJ-|uo6xf+D2p+_=;?>@I%^v*stG0HugtZ28aJ+6Qc^pUp6gf-MYMWoTj~tg zX%+DUHR+isk=>R)j9gbir9vl=V(zQFO%D~)cU2G~TSm6(r@4MQuACYk8XnlX?>m1n zl?*mLUiMW+S_rt{mmE*`%Y4xZLS?ge#s||^w&DUuhxb&F9?*GH@U)weS8|?B-Ey=W zVXhhJO{GRkQQ(x)gC>{=GgAAp8D=l_%hoY_R?FV3>^s+=67+^$;pPAU diff --git a/_build/html/_static/locales/iw/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/iw/LC_MESSAGES/booktheme.po deleted file mode 100644 index dede9cb..0000000 --- a/_build/html/_static/locales/iw/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: iw\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "הדפס לקובץ PDF" - -msgid "Theme by the" -msgstr "× ×•×©× ×ž×ת" - -msgid "Download source file" -msgstr "הורד ×ת קובץ המקור" - -msgid "open issue" -msgstr "בעיה פתוחה" - -msgid "Contents" -msgstr "תוכן" - -msgid "previous page" -msgstr "עמוד קוד×" - -msgid "Download notebook file" -msgstr "הורד קובץ מחברת" - -msgid "Copyright" -msgstr "זכויות יוצרי×" - -msgid "Download this page" -msgstr "הורד דף ×–×”" - -msgid "Source repository" -msgstr "מ×גר המקורות" - -msgid "By" -msgstr "על ידי" - -msgid "repository" -msgstr "מ×גר" - -msgid "Last updated on" -msgstr "עודכן ל×חרונה ב" - -msgid "Toggle navigation" -msgstr "החלף ניווט" - -msgid "Sphinx Book Theme" -msgstr "× ×•×©× ×¡×¤×¨ ספינקס" - -msgid "suggest edit" -msgstr "מציע לערוך" - -msgid "Open an issue" -msgstr "פתח גיליון" - -msgid "Launch" -msgstr "לְהַש×ִיק" - -msgid "Fullscreen mode" -msgstr "מצב מסך מל×" - -msgid "Edit this page" -msgstr "ערוך דף ×–×”" - -msgid "By the" -msgstr "דרך" - -msgid "next page" -msgstr "עמוד הב×" diff --git a/_build/html/_static/locales/ja/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/ja/LC_MESSAGES/booktheme.mo deleted file mode 100644 index 1cefd29ce3cc08792667a82dc7ff47e9843107be..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1471 zcma))U2GIp6vr=uT2=%temyktnh+I|RZ$+uHv1sbO-LX%QhlH9-p&qe?;Yo((zoth z!EFJNkCxzqu~zx0SU`c+ubA-Uv++eAe7Tv~_Q5w};+y|7GulOC;?11-%{lkn^L6K! z-gVOq>v2dQu6IDn_Xk)2*RIXZZv;v211Zik;1ak4q&&ao z_TO@S&AKd35BL)Hd%6F@2|fYNfYiq|km|n!QoJ8>{U?y}t$^hJJGcehbZ=(g z0h0bQNasgDiZ_<)lR3|UkHUThq>)oh@}pU9hR|%O@9u?E>>&uvmlpL;i{?kUXs#3! zA=v{Ey4&tWeb61=55ZW{`(?Yv@$jH7*egl~LIyrQ+;Pvb>jB%X-jWSv)wooF7*^^a zA8{ID)$FU#tBQXZgSz8$*Rlm0s5t>b|D{&KM#HaqLP$QUYJ%;x{D6mU%?d<~D+xW6 z)jE6Cg@Yxz75=BO|)yDPjO+O|NI0-c}~bwE^u;+|UZ4dMBS zR^nOyBIPfpnG5^&>>F6!-~QYSg?zBZp>bD~cz^<)cN>-?`+2o)dAX*25Q`IlO*w3@i^0SgZ zRp#5b_7~Xl$+OE7hnZ=9YND2D&Y9*#)@d&!S7*EK+UR$U{>JE*(KAMC6J0ZU+C;M^ z`q*e3JZ1ERi7p!bh0&j-o|DW(-_lp~<^OPPo;J+|qu);tEd58ke>rs)FR!$Zu=w!h z&Y7=QE_`G(9#lEWlJgUtTT#-!nao^I&VIs{Z!N}0r&&CGVrBLi!p9%ph)+&2{5I%2 zK7KuJEq2#CZ}bHdEv5a=V6`%k-R^d(Xw}Jf>8QN5e!h zBbA`3bkQ)WS=dVKSy@;~B<{I88!P_b+$$|{a=-hV^ZNe(@4NG5)%+^MSdZvHd_rtS zROaA?v3M?Hcvu@=3&Ew}VsJIs26lk!z^&jKFbl2%PlD~B0GES0VHu=655Q&M6L2Xw z0j>n66Mjh6KPU5VAnE-CQ{cRL@%?s?<{cpA*#_Ef2kG3A zWc>t4Ehi1?A9+}fAZZd{dqh6EFS_D$EB?$Vqvj_EszTqMS+R^&H z>|hBG*9E~2DXE3jK7P0*&#?=d9aa}*QCWE|l@|R-n>7qsZZHEJ ziA7vbTyRv7*q)W%4{Te&r9dUHqRxq&PWR-~XN2b?TZYH_Y0^)(lvBrgj&;rK@7cLK zl{7ZpS8_#$YZ%z&7A;41@?634e4(?a`?}KyX3lw*^v?<}-6eA>??^kt5A-`ab<~n} zfWBto^Y9)w_0g!> zVBythE}X>$!Q{z_su`ZeFjL;phL~syBFa zXVlaiX8iI$xBl9S?ljH#2qeqqHLg5*5Kc5=W8s^|_vRD}$A^$29KXrU!@=^_j5Dv6%;4cA#sHtggl>eA))${_687xQDk?6`Kc@OWFO}WOS!3uO( zjPOmFMc3|`Ymgi(M~_AsRb8*l6oj5N!k1G#oNSsg^a1i?<=NZRz?N8C9`e*ob%^~2 D6Q!<* diff --git a/_build/html/_static/locales/ko/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/ko/LC_MESSAGES/booktheme.po deleted file mode 100644 index c9e13a4..0000000 --- a/_build/html/_static/locales/ko/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: ko\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "PDFë¡œ ì¸ì‡„" - -msgid "Theme by the" -msgstr "테마별" - -msgid "Download source file" -msgstr "소스 íŒŒì¼ ë‹¤ìš´ë¡œë“œ" - -msgid "open issue" -msgstr "열린 문제" - -msgid "Contents" -msgstr "ë‚´ìš©" - -msgid "previous page" -msgstr "ì´ì „ 페ì´ì§€" - -msgid "Download notebook file" -msgstr "ë…¸íŠ¸ë¶ íŒŒì¼ ë‹¤ìš´ë¡œë“œ" - -msgid "Copyright" -msgstr "저작권" - -msgid "Download this page" -msgstr "ì´ íŽ˜ì´ì§€ 다운로드" - -msgid "Source repository" -msgstr "소스 저장소" - -msgid "By" -msgstr "으로" - -msgid "repository" -msgstr "저장소" - -msgid "Last updated on" -msgstr "마지막 ì—…ë°ì´íŠ¸" - -msgid "Toggle navigation" -msgstr "íƒìƒ‰ 전환" - -msgid "Sphinx Book Theme" -msgstr "스핑í¬ìŠ¤ ë„ì„œ 테마" - -msgid "suggest edit" -msgstr "편집 제안" - -msgid "Open an issue" -msgstr "ì´ìŠˆ 열기" - -msgid "Launch" -msgstr "시작하다" - -msgid "Fullscreen mode" -msgstr "ì „ì²´ 화면으로보기" - -msgid "Edit this page" -msgstr "ì´ íŽ˜ì´ì§€ 편집" - -msgid "By the" -msgstr "ì— ì˜í•´" - -msgid "next page" -msgstr "ë‹¤ìŒ íŽ˜ì´ì§€" diff --git a/_build/html/_static/locales/lt/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/lt/LC_MESSAGES/booktheme.mo deleted file mode 100644 index 4468ba04bc134a84fea5e3c973461cf02c9c2da3..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1413 zcmZvaJ*-qk6vsyag_RElKVp1=p+SgQ1!6(=Ws8Trm%IpJ!!Cq&-rn=>&feLX$$UJx zy>yfs3mYDtv7j(9R@&?)#@fol&{Y(AbXL(_rUwj`9qL(er@8vgIw=pko$cKo&XOVSm=ES z^8O^qK3oL({z?6$1#4Nz2(054oJ;=;JiGzE*_kpy=GszcBB+< zVRAov2m8<3><4U^|G(mLjYp;ti7%W@WK+ZsUk6=|lDOjTSmRV7txL4wTqQTPq1|wF zISlEQU>fNty(&qp7CIsI&UP&u6NiDw%84sTTvaj2>KHSL zUeFdvoa|j$6a9r=An&41F4Us$N7~+%m$|mVh$bZFtK3-hG;n2UNLsa}OO-T4EZt3u z>KyAVM0}tv?Q&E0p7b%7C80_}Cn&{@X_(sUMf(ENwtj7O_x!@A z=Ua`j?LqCSBNGbv%p0ZcvK)?7h?KfF2W#z1yZ3^!ag#!O)ec>uZP}5RHgsxTRkqCV zwIfYx^-K=RwAWmi#E!InzKz|B%X0Cvd)CU+U3uZ$a!agNntg;f8E)25tYny{XFsAC z9jD(SkfM$V#H6LA*|v6LHF0AnD>v~vCkoohO{LBB-b;69+sY(u|L3sMiR5g1`bhd5 zjq=k+;szC}%nlMS$9vjXC#gc)P6nF&q9-bfo{CjQZe*xbNYi^#C9ConpM%1oLFKH0 za&)0WJ=gQWZ5W!M$i7!O!aIl|0e?HQ2Ro%kmCL#^O7u6its3{(8W!QLNCjg(=>2Jsvw ClWZvf diff --git a/_build/html/_static/locales/lt/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/lt/LC_MESSAGES/booktheme.po deleted file mode 100644 index 35eabd9..0000000 --- a/_build/html/_static/locales/lt/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: lt\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "Spausdinti į PDF" - -msgid "Theme by the" -msgstr "Tema" - -msgid "Download source file" -msgstr "Atsisiųsti Å¡altinio failÄ…" - -msgid "open issue" -msgstr "atviras klausimas" - -msgid "Contents" -msgstr "Turinys" - -msgid "previous page" -msgstr "Ankstesnis puslapis" - -msgid "Download notebook file" -msgstr "Atsisiųsti neÅ¡iojamojo kompiuterio failÄ…" - -msgid "Copyright" -msgstr "Autorių teisÄ—s" - -msgid "Download this page" -msgstr "Atsisiųskite šį puslapį" - -msgid "Source repository" -msgstr "Å altinio saugykla" - -msgid "By" -msgstr "Iki" - -msgid "repository" -msgstr "saugykla" - -msgid "Last updated on" -msgstr "Paskutinį kartÄ… atnaujinta" - -msgid "Toggle navigation" -msgstr "Perjungti narÅ¡ymÄ…" - -msgid "Sphinx Book Theme" -msgstr "Sfinkso knygos tema" - -msgid "suggest edit" -msgstr "pasiÅ«lyti redaguoti" - -msgid "Open an issue" -msgstr "Atidarykite problemÄ…" - -msgid "Launch" -msgstr "Paleiskite" - -msgid "Fullscreen mode" -msgstr "Pilno ekrano režimas" - -msgid "Edit this page" -msgstr "Redaguoti šį puslapį" - -msgid "By the" -msgstr "Prie" - -msgid "next page" -msgstr "Kitas puslapis" diff --git a/_build/html/_static/locales/lv/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/lv/LC_MESSAGES/booktheme.mo deleted file mode 100644 index 74aa4d8985d96a07c4c9be96f006f3b58d884342..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1404 zcmZ9K&5ImG7{*_dsL7ZQP5eMvump*E7&XB|oMjFhcNYS?IAk~8Yi8c*sqUVtras2( zdKwT<9)#7Cr{GC*^B|r)^?-kXCk3y9;7t%O;`2^-vdb1-{p+f(exK)k=-;oN`-(7L z!d%1r1@l$R&!4~zPs;uHG2 zUH=1$um8Z;!As|eUIA~m+y%w|6qJ5G0bd5c0G|fGYu|qlzJT=-lzP8`lHs4A_&D=q zlgkxQ>Rkt~f$z861tmufO5Zssk;}JoUbN-BWGj829FU-AF-2E~^e;o|NY;|8ctc5g z22*^U9FmJ@OFxKVl@HxMz@_4p=>umY+Zgar9e9&XBW=2mZRzw_Sr>WeT%jhWmHkCxl1EW^k%TQzfIrX3xkO4V3L9xG?DPIfe<4=WtdR+$hI z)4&^xB2Eo9w`s4@^IW-LqVor|S51w*uWpOC{VC6wR(CaQdfIncRMGG) zBv*eURUdB+Oli45Wvi9v9Ia6vne84ZIht?0o$f< A2mk;8 diff --git a/_build/html/_static/locales/lv/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/lv/LC_MESSAGES/booktheme.po deleted file mode 100644 index ee1bd08..0000000 --- a/_build/html/_static/locales/lv/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: lv\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "DrukÄt PDF formÄtÄ" - -msgid "Theme by the" -msgstr "Autora tÄ“ma" - -msgid "Download source file" -msgstr "LejupielÄdÄ“t avota failu" - -msgid "open issue" -msgstr "atklÄts jautÄjums" - -msgid "Contents" -msgstr "Saturs" - -msgid "previous page" -msgstr "iepriekÅ¡Ä“jÄ lapa" - -msgid "Download notebook file" -msgstr "LejupielÄdÄ“t piezÄ«mju grÄmatiņu" - -msgid "Copyright" -msgstr "AutortiesÄ«bas" - -msgid "Download this page" -msgstr "LejupielÄdÄ“jiet Å¡o lapu" - -msgid "Source repository" -msgstr "Avota krÄtuve" - -msgid "By" -msgstr "Autors" - -msgid "repository" -msgstr "krÄtuve" - -msgid "Last updated on" -msgstr "PÄ“dÄ“joreiz atjauninÄts" - -msgid "Toggle navigation" -msgstr "PÄrslÄ“gt navigÄciju" - -msgid "Sphinx Book Theme" -msgstr "Sfinksa grÄmatas tÄ“ma" - -msgid "suggest edit" -msgstr "ieteikt rediģēt" - -msgid "Open an issue" -msgstr "Atveriet problÄ“mu" - -msgid "Launch" -msgstr "UzsÄkt" - -msgid "Fullscreen mode" -msgstr "PilnekrÄna režīms" - -msgid "Edit this page" -msgstr "Rediģēt Å¡o lapu" - -msgid "By the" -msgstr "Ar" - -msgid "next page" -msgstr "nÄkamÄ lapaspuse" diff --git a/_build/html/_static/locales/ml/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/ml/LC_MESSAGES/booktheme.mo deleted file mode 100644 index 2736e8fcf6f9e923c2403307f0b366086d37b335..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1883 zcmbW0%ZnUE9LGydG>*^22ObnFl0!U=*`!Gj=35eWDu@Vn6%SYIC#v~L=<+PV8oUUd{}t%`e}*gYclZSS_^!ZZxSjb`_!_(p zTd=uFh;ewl;wqeG{x{qKTbqR#gE5?hpTno&U(oq&;Si6(7JLc50p0#-xD$R4pMlrl zez^G_At=eHx!OEj&F+K95`^|`3%xs|tB0$dYp$lQaXj&eABB3jp*ug}eRDN&btbLg zC_?O6*AzH~{-A|&9)JdV{ljJRVAnvQRl4{_?&D7b7KD1k z&HJ`jzT)e&M4gbqlB?mhqaXMpAZg<;-hlh5ZiX1=e36nUswzgb&SN${bnp4Gv=IQ6$P05hgaiFop^2w W+5FkQ^s?wV7=JSkIl3Km4aE({iDO&< diff --git a/_build/html/_static/locales/ml/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/ml/LC_MESSAGES/booktheme.po deleted file mode 100644 index d471277..0000000 --- a/_build/html/_static/locales/ml/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,66 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: ml\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "PDF- ലേകàµà´•àµ à´ªàµà´°à´¿à´¨àµà´±àµà´šàµ†à´¯àµà´¯àµà´•" - -msgid "Theme by the" -msgstr "à´ªàµà´°à´®àµ‡à´¯à´‚" - -msgid "Download source file" -msgstr "ഉറവിട ഫയൽ ഡൗൺലോഡàµà´šàµ†à´¯àµà´¯àµà´•" - -msgid "open issue" -msgstr "à´¤àµà´±à´¨àµà´¨ à´ªàµà´°à´¶àµà´¨à´‚" - -msgid "previous page" -msgstr "à´®àµàµ»à´ªà´¤àµà´¤àµ† താൾ" - -msgid "Download notebook file" -msgstr "നോടàµà´Ÿàµà´¬àµà´•àµà´•àµ ഫയൽ ഡൺലോഡൠചെയàµà´¯àµà´•" - -msgid "Copyright" -msgstr "പകർപàµà´ªà´µà´•à´¾à´¶à´‚" - -msgid "Download this page" -msgstr "à´ˆ പേജൠഡൗൺലോഡàµà´šàµ†à´¯àµà´¯àµà´•" - -msgid "Source repository" -msgstr "ഉറവിട ശേഖരം" - -msgid "By" -msgstr "à´Žà´´àµà´¤à´¿à´¯à´¤àµ" - -msgid "Last updated on" -msgstr "അവസാനം à´…à´ªàµâ€Œà´¡àµ‡à´±àµà´±àµà´šàµ†à´¯àµâ€Œà´¤à´¤àµ" - -msgid "Toggle navigation" -msgstr "നാവിഗേഷൻ ടോഗിൾ ചെയàµà´¯àµà´•" - -msgid "Sphinx Book Theme" -msgstr "à´¸àµà´«à´¿à´™àµà´•àµà´¸àµ à´ªàµà´¸àµà´¤à´• തീം" - -msgid "suggest edit" -msgstr "à´Žà´¡à´¿à´±àµà´±àµà´šàµ†à´¯àµà´¯à´¾àµ» നിർദàµà´¦àµ‡à´¶à´¿à´•àµà´•àµà´•" - -msgid "Open an issue" -msgstr "ഒരൠപàµà´°à´¶àµà´¨à´‚ à´¤àµà´±à´•àµà´•àµà´•" - -msgid "Launch" -msgstr "സമാരംഭികàµà´•àµà´•" - -msgid "Edit this page" -msgstr "à´ˆ പേജൠഎഡിറàµà´±àµà´šàµ†à´¯àµà´¯àµà´•" - -msgid "By the" -msgstr "à´Žà´´àµà´¤à´¿à´¯à´¤àµ" - -msgid "next page" -msgstr "à´…à´Ÿàµà´¤àµà´¤ പേജàµ" diff --git a/_build/html/_static/locales/mr/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/mr/LC_MESSAGES/booktheme.mo deleted file mode 100644 index fe530100d7715cdc19a6f9db33a971665835f3c4..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1674 zcma))-D_M$7>7rVU#qnriYO?KB2uYGt)hetL1>ylCBZ;a@uD{;yVJ8rH#3KG&bG~6 zRisua;ze5NO^wW!;71IF+EldSwKo+61wrPsjrLTQ<5nO9X$iPPmDi?R5_3f- z*T>{OU(0+)Eh-V7av_#JZ?debq)w0ISz70aXmzZP)flf6MT$}#$xUxiX4T6wMQMt1 z(Km0ZR-GJZC$ForB1Kb1(Zq`;L9Q`#U}kc-zxUba8xuy?O4rH!QlXl%M)kR(o922< zwmNB9se1h2{8TbJJXfZ=I;_fMQnySy*I84JF64D%I@MVZ^O|z8Y|M6hW!g=qOu1M! zr7ps>8h>F-#@F%PT0TB5_dY$=5YC=={Zr0fboPp~>pX9~wCwsPo&DVPkH=Hao^bXY zXIEYSL*AVI()HhVc3C?6MacEOvlp1GgbA^$%){9gR+l%mHiEnj&-JixH&Y;SGbt{+ z{t03z?p+g;%KlU0jXnJ;6hm+E zO4d<`2T4o{Hn?Oyg$)#jm)Q^UYaHJCp>S-t$!CBi7ej)}A>Wy>@(p%y@Lc$O&cyp1 zdP#?v^I4GaH+|g|B8k!Ldl%Wfwrg(}`)i>kl#a*D@zz$^*>a1%2AcIZ5x;fu4@Sqm A6951J diff --git a/_build/html/_static/locales/mr/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/mr/LC_MESSAGES/booktheme.po deleted file mode 100644 index f3694ac..0000000 --- a/_build/html/_static/locales/mr/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,66 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: mr\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "पीडीà¤à¤«à¤µà¤° मà¥à¤¦à¥à¤°à¤¿à¤¤ करा" - -msgid "Theme by the" -msgstr "दà¥à¤µà¤¾à¤°à¤¾ थीम" - -msgid "Download source file" -msgstr "सà¥à¤¤à¥à¤°à¥‹à¤¤ फाइल डाउनलोड करा" - -msgid "open issue" -msgstr "खà¥à¤²à¤¾ मà¥à¤¦à¥à¤¦à¤¾" - -msgid "previous page" -msgstr "मागील पान" - -msgid "Download notebook file" -msgstr "नोटबà¥à¤• फाईल डाउनलोड करा" - -msgid "Copyright" -msgstr "कॉपीराइट" - -msgid "Download this page" -msgstr "हे पृषà¥à¤  डाउनलोड करा" - -msgid "Source repository" -msgstr "सà¥à¤¤à¥à¤°à¥‹à¤¤ भांडार" - -msgid "By" -msgstr "दà¥à¤µà¤¾à¤°à¤¾" - -msgid "Last updated on" -msgstr "अखेरचे अदà¥à¤¯à¤¤à¤¨à¤¿à¤¤" - -msgid "Toggle navigation" -msgstr "नेवà¥à¤¹à¤¿à¤—ेशन टॉगल करा" - -msgid "Sphinx Book Theme" -msgstr "सà¥à¤«à¤¿à¤‚कà¥à¤¸ बà¥à¤• थीम" - -msgid "suggest edit" -msgstr "संपादन सà¥à¤šà¤µà¤¾" - -msgid "Open an issue" -msgstr "à¤à¤• मà¥à¤¦à¥à¤¦à¤¾ उघडा" - -msgid "Launch" -msgstr "लाà¤à¤š करा" - -msgid "Edit this page" -msgstr "हे पृषà¥à¤  संपादित करा" - -msgid "By the" -msgstr "दà¥à¤µà¤¾à¤°à¤¾" - -msgid "next page" -msgstr "पà¥à¤¢à¥€à¤² पृषà¥à¤ " diff --git a/_build/html/_static/locales/ms/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/ms/LC_MESSAGES/booktheme.mo deleted file mode 100644 index f02603fa2522a40060bd3f1b5d65052c77530de6..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1213 zcmZXRJ8Km|6vs!6uj@1M0TG1}Eworov@58TBL2_ajS)TU%x`DrywA6>k!K8Y7V9F`8>~xM5BFh% zd;s@@AHhT5C-5lv6+91q2g&v)I0lYF`6PH1JO$nc$*v2Y0Pldu!3W?dC>w4z_m7+N zHb`+^fGzM9NcL|*vVRZ02ETwK;L`&&w?VSo0ms4TAm#b4;b-tP&Og8l;4hH$$Kizh zUTHW1Qhptf^p`=>djwK_>)<(X03HLMfK>lZ^ZpV{}g%EROCaZxzWLzM_G6K*tH6hX%sTdt($LUZL@kZi>& z4I{%>X6M;z?cd7EIOUBUu+=J4dW+9cF1<{ak_~s>uT$@tG%Y08Vne0ED+JMU%h%Z$ zic<%vtlUs0G-K1wUB*6INTU1FI=E=_I%q^eqhYw#(!$c*-uvW@iB{KW zFSU<)gG#o!N7S2DA(WoxaVD&jzH_fPA5HD)S)tvUw9%Z7O`>$#=2Ly;TZ=-c0nKak z(zRBKU_}wl8(X?I*VXXoI=7~I{oA>w`Q;9uyguDx%Y{TQY0E^;V^w*;2yki7=)(TYV{?8_pQ^c*8Iog%4v$iD&q$RjNP diff --git a/_build/html/_static/locales/ms/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/ms/LC_MESSAGES/booktheme.po deleted file mode 100644 index 65b7c60..0000000 --- a/_build/html/_static/locales/ms/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,66 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: ms\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "Cetak ke PDF" - -msgid "Theme by the" -msgstr "Tema oleh" - -msgid "Download source file" -msgstr "Muat turun fail sumber" - -msgid "open issue" -msgstr "isu terbuka" - -msgid "previous page" -msgstr "halaman sebelumnya" - -msgid "Download notebook file" -msgstr "Muat turun fail buku nota" - -msgid "Copyright" -msgstr "hak cipta" - -msgid "Download this page" -msgstr "Muat turun halaman ini" - -msgid "Source repository" -msgstr "Repositori sumber" - -msgid "By" -msgstr "Oleh" - -msgid "Last updated on" -msgstr "Terakhir dikemas kini pada" - -msgid "Toggle navigation" -msgstr "Togol navigasi" - -msgid "Sphinx Book Theme" -msgstr "Tema Buku Sphinx" - -msgid "suggest edit" -msgstr "cadangkan edit" - -msgid "Open an issue" -msgstr "Buka masalah" - -msgid "Launch" -msgstr "Lancarkan" - -msgid "Edit this page" -msgstr "Edit halaman ini" - -msgid "By the" -msgstr "Oleh" - -msgid "next page" -msgstr "muka surat seterusnya" diff --git a/_build/html/_static/locales/nl/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/nl/LC_MESSAGES/booktheme.mo deleted file mode 100644 index e59e7ecb308a7648cd23aa6342a9ad98a61d0009..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1356 zcmZXTJ5Los6vqcag)1TtUj+$cqf)Gju^^CJh(JODkqBZvyL;~La`(<`W@dTSmfC47 z`~-XfW8nv|v9q$Ewb8~-3*-OXUAP1%JNw%?Gxz+@WA4%Tz*~WF19KAdE9MmDt3JFi z2G0qBM-1V00UQPg!3l5(oCL3fx52Am6C4Mhfg>P+S3qC$CCGl>fS1Ad;4pXyj)5O) zey;7`>h*V!^?rj5u)n|h{RqhGNs#^A0Y8F|zya_lcoF;svhE*{ng4G|2HU zfE@n|kmKI2*9Rc$zXmzZceVWx9L4%m%`YJ5bp-OcA0YetTieIZSNl^S#~pwZ;4H`` z=N$Mv$HI25E$f~haMji1Jb17l9<0YPv;H+qxD=N#xwoeW*MWP;bwN40{S^!Qc%)BB zJTcmn_6{G#zRi--xzS!`5#mI~uCZ|uI< zDAG*t$pwyWGo=oR?puacPMao4a*|r@WQp<_L^SRBDmueDl}KS}Co^Ro_9^$SOcFwr zgiH{M*`~+`D{-(z*1_AHtn>rc54y^YwUxD{-u}$J2aUS0!RCHJbJ8P#`$euYJujnF zSx3J4d~-RN?VYnqyB67CNk=BmbTTJr!^}5Ul}<|3bx!KMv7VP!<-xMC9S1|vUApGO zd0Bln?`nCgDQBkV8|as@-IqkwS9EI1Sg6udX`Q7gMb~>RJ??afw3Uu~8!34iTBHBl zi0Od1qM24Aq+POY$n;EGCeKm6M7k&?+d-F=M@18=IxkHDla2^|PO9GX1u3ivbE1xT z+=^}4Zo{ONva*On--8-OUjI=r94V1Y}`N=IHv19Ut jbWAeLReX?b<52fDoT%;?`~gm~I(s23S;SN2irW1H>^?=m diff --git a/_build/html/_static/locales/nl/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/nl/LC_MESSAGES/booktheme.po deleted file mode 100644 index 71bd1cd..0000000 --- a/_build/html/_static/locales/nl/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: nl\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "Afdrukken naar pdf" - -msgid "Theme by the" -msgstr "Thema door de" - -msgid "Download source file" -msgstr "Download het bronbestand" - -msgid "open issue" -msgstr "open probleem" - -msgid "Contents" -msgstr "Inhoud" - -msgid "previous page" -msgstr "vorige pagina" - -msgid "Download notebook file" -msgstr "Download notebookbestand" - -msgid "Copyright" -msgstr "auteursrechten" - -msgid "Download this page" -msgstr "Download deze pagina" - -msgid "Source repository" -msgstr "Bronopslagplaats" - -msgid "By" -msgstr "Door" - -msgid "repository" -msgstr "repository" - -msgid "Last updated on" -msgstr "Laatst geupdate op" - -msgid "Toggle navigation" -msgstr "Schakel navigatie" - -msgid "Sphinx Book Theme" -msgstr "Sphinx-boekthema" - -msgid "suggest edit" -msgstr "suggereren bewerken" - -msgid "Open an issue" -msgstr "Open een probleem" - -msgid "Launch" -msgstr "Lancering" - -msgid "Fullscreen mode" -msgstr "Volledig scherm" - -msgid "Edit this page" -msgstr "bewerk deze pagina" - -msgid "By the" -msgstr "Door de" - -msgid "next page" -msgstr "volgende bladzijde" diff --git a/_build/html/_static/locales/no/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/no/LC_MESSAGES/booktheme.mo deleted file mode 100644 index 6cd15c88de675226c00ca4d0430171075e5559ff..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1317 zcmZ9KJ#5r46vxeXdz6pzxm3a|d<+2!3{|TeDD*@{E2`eX#NxZWChjG6WIIQ@F#r=I zh=CaiW+cQ+7sSlefekSsA;E&g!2exRwZe-1i=UnMe;@gJZ0`$!aT;?1^9$w~%xAl> zV2tb*0*@HQvL74+N5JFYC^!M00?&abz$SPMTm}z=1ReoH&Bq}7c@7=|Ux8!bTW}nF zU-MIK->moFLDu^NHo!f5s_zejyq^Hs&w20zcpb!5@dLyoequQQ{ss?%e?g9WWG`|7 z&ww2NwR(RWJc|7Tkn_pGec+?o{vnrOx2I^Ydmn%A>ZL_zf>(PJ4kZLarm5`W=b%5)w zZL7>O-*ZGp<~Am=pnQ;J5vxG4v+R9LTr zb?c&Cq}r^>S&prfQchyH%5IfY$0kWe(x`z>RL~GHv=*x9EbCMvg`Y>jh2AfB-HRnbKxP z_EP0Mh336ZE1KHA=alg)i!%*zV<7HREar_#Z59h#6sa0`M0_gBf~5&B$u(bn(=RqnJ4d{?xCazSi7Dd36F5NEp? z<)YnpdLTAmS7{(1PP{Mcl94asi9}+1PF;uA{A!sWqQCgLP1e#J@rEvuCjIeG)u_ z_zHL&oC3+mBarlB@FchjQl1we?OzAU{{~3=--1+!&*l7gkoNrokAjC_hW4EWNq-dF z2i^p!UUxt$Ipw67YDs=blg_=fL9(w&^`%C>sF5z^AYYUllKnH&-R^8uf4W1;k81~m7!h)9ylfZ~^CgwY?O|s!8_53#eN#D}ib%4l zPdl`G0* zrR^Q^E{h@wml7v|6|*b@U!4i752bZbtMMX#mGW2nnJcq1vs2siW24t9Wnrs}c`9q% z!@$)v5lT<+ped}AzW!iwx;nnS&I;|8q^(Zrz=TRiH9p=@zH(RSC_`OqJWVR|NoGY- zoi?`RYFwxN(ABR`V3KC)moz_L=VO;ADlp!Wow9!{+QNF%d)$vmWXUlwR2&%HTrgJW19E;7l zzACcDJ`;)Rh+tW;2Q~|urlsI%&bL2qk_T%ViEOb+o5j!ziwCfPoA2cCtFji~wj$ZA z@p+raPIaI5KE$fLmvXo`p>N|Ts6=nA`!wj_O|+>xW d^Crc{P^+yKEfI-Mu31OGXlgVp$}sP%{Q=l!SrY&N diff --git a/_build/html/_static/locales/pl/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/pl/LC_MESSAGES/booktheme.po deleted file mode 100644 index 1b7233f..0000000 --- a/_build/html/_static/locales/pl/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: pl\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "Drukuj do PDF" - -msgid "Theme by the" -msgstr "Motyw autorstwa" - -msgid "Download source file" -msgstr "Pobierz plik źródÅ‚owy" - -msgid "open issue" -msgstr "otwarty problem" - -msgid "Contents" -msgstr "Zawartość" - -msgid "previous page" -msgstr "Poprzednia strona" - -msgid "Download notebook file" -msgstr "Pobierz plik notatnika" - -msgid "Copyright" -msgstr "prawa autorskie" - -msgid "Download this page" -msgstr "Pobierz tÄ™ stronÄ™" - -msgid "Source repository" -msgstr "Repozytorium źródÅ‚owe" - -msgid "By" -msgstr "Przez" - -msgid "repository" -msgstr "magazyn" - -msgid "Last updated on" -msgstr "Ostatnia aktualizacja" - -msgid "Toggle navigation" -msgstr "PrzeÅ‚Ä…cz nawigacjÄ™" - -msgid "Sphinx Book Theme" -msgstr "Motyw książki Sphinx" - -msgid "suggest edit" -msgstr "zaproponuj edycjÄ™" - -msgid "Open an issue" -msgstr "Otwórz problem" - -msgid "Launch" -msgstr "Uruchomić" - -msgid "Fullscreen mode" -msgstr "PeÅ‚ny ekran" - -msgid "Edit this page" -msgstr "Edytuj tÄ™ strone" - -msgid "By the" -msgstr "Przez" - -msgid "next page" -msgstr "NastÄ™pna strona" diff --git a/_build/html/_static/locales/pt/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/pt/LC_MESSAGES/booktheme.mo deleted file mode 100644 index d0ddb8728e1d5ef72dddc1537f66aa32251a83c8..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1364 zcmZ9KJ!lj`6vsyszs~RYi3A)AKVkhsL@peXm>dKW4Dqy|yM5Uk-JMxyXV09qrC4bb zE3pu<6hyS##>&dd!p6cz!N$T$|8I9gLWZ0D-MpQB@BjWY-^NCt35+9{h16S(zZ$SR;BglC^gY3_DkUjkg^8V2+RlY+YuTO%k z_iDYq0kY*B<9wX!0496Oy4Me+EOW5GJh*=z>>q1pUk_m-WvQ8UtRL(@Yuttj8%m$V z)DS=E`y_5yrAF9A~6$c zkJPKnb{@xB&k-4!*pS4W%Dl|ePxSZ1+Sg`TPO-L5pAr(~Q+BJKIyQ=8l12@5q`XEEL(9HWXSq&QBy}{>iJ+c4DOK2kgX}J`T^Gu%F2!T+4-5Z_m|FJY}CdEoncB%=^@}k z8Y^ukWUsGWM!t2s(+;k!?Q_axOXPwX)3c#AQBz*)YTuYsCd%P!Q>MPL5a&+CLEE|{ zYf6)r%dB;ILRNoUXN)}2l9$d-G{iJ)q}Wy`Tzm+v2(=>^C{+#@RV=2IURF*jcR$wy zD??aTpZLaCOMFYpAW1l*WLmt4v{B_@b0}L2&D+qT-&mnh(n=I7vDb-`%I7N94^{E1 zcxfdiIC)dNQVDLK6_Z`3WS+>>*=|gU60=F_bfO(LmX~0$I{o6U(^gh;I@l*sE7k*N z>oXB$Fttuh#-5x(d)$^9P*fEbsVm+tv!2x!?&s);C8;hsuS6ZkWkdpvO!dtuOAFi$ LL?J8GWh3H0!r)O_ diff --git a/_build/html/_static/locales/pt/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/pt/LC_MESSAGES/booktheme.po deleted file mode 100644 index 1b27314..0000000 --- a/_build/html/_static/locales/pt/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: pt\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "Imprimir em PDF" - -msgid "Theme by the" -msgstr "Tema por" - -msgid "Download source file" -msgstr "Baixar arquivo fonte" - -msgid "open issue" -msgstr "questão aberta" - -msgid "Contents" -msgstr "Conteúdo" - -msgid "previous page" -msgstr "página anterior" - -msgid "Download notebook file" -msgstr "Baixar arquivo de notebook" - -msgid "Copyright" -msgstr "direito autoral" - -msgid "Download this page" -msgstr "Baixe esta página" - -msgid "Source repository" -msgstr "Repositório fonte" - -msgid "By" -msgstr "De" - -msgid "repository" -msgstr "repositório" - -msgid "Last updated on" -msgstr "Última atualização em" - -msgid "Toggle navigation" -msgstr "Alternar de navegação" - -msgid "Sphinx Book Theme" -msgstr "Tema do livro Sphinx" - -msgid "suggest edit" -msgstr "sugerir edição" - -msgid "Open an issue" -msgstr "Abra um problema" - -msgid "Launch" -msgstr "Lançamento" - -msgid "Fullscreen mode" -msgstr "Modo tela cheia" - -msgid "Edit this page" -msgstr "Edite essa página" - -msgid "By the" -msgstr "Pelo" - -msgid "next page" -msgstr "próxima página" diff --git a/_build/html/_static/locales/ro/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/ro/LC_MESSAGES/booktheme.mo deleted file mode 100644 index 3c36ab1df7c589ad82614599b8c91f072a25d4a6..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1390 zcmZ{jxo;Ce6vhX_5zG}5ZUr$kT#~s&fgHI>97~Z1L||yB#=9@;f%VL44!~(cNeM!T zzkmW7Bt%b&NVHTGv{Xn`NHmD=truc}813$F=kWX9`}X8CsJNO-Bou44rIk82E zW8ekwD0mG#0%~vyTm=t+&p?jz3S_U|fL!MXkn8*mPJmxQ*7*st&Nlprc^KsLXDc>A z&U>kv-vQZju7S_7m#oj;a^0f?p-U~+<-u`yunv38zH-h8DR$!Kd`AcS&)<;qgbk%n zVs?N_h8~GIYXX_z@lp(&&U!(#>;scql}cj+b*;T8mvv4X%iczp&|iz8r@bsxMq)nI z0il0S+cD35;)smw+mysr<%5hxssg3b8qA|fdg6M41IkG4eI&8uv_TLnms)LcbExO2 zuwDo22I6MX)8?U^<=i?w>XRs+vOBD)W3wzLY1Dn4sh}ZZ=wTRUXIW<`QaHM=ZLHEB z3GZW;5wavyf>i8XN#8^5U79nrN}tCR1WA7O>Nc7D^1!X_=B#5k}&OPu5mlqSjw% ze9!ggnq18PeE0wD`{?}IYPqW%0!Wn*zA9eO0NP-Sd!P*Z&(5Mvp+E_$mG57h;3yNf z@}T<)Q9@L?UQv!@t~hzGN|ByUi8HjaaJHLM9|{Y76xA;^5T@*t78+y)y;r5zA;cW% z6j3gq1Ltf%1{N7Mh$B&^tz>kF94xj(C8Xe$PteOytPUysU!2AvEWuE6Fj7Z>o*_qS K1txIYaExD}s9q8P diff --git a/_build/html/_static/locales/ro/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/ro/LC_MESSAGES/booktheme.po deleted file mode 100644 index 1783ad2..0000000 --- a/_build/html/_static/locales/ro/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: ro\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "ImprimaÈ›i în PDF" - -msgid "Theme by the" -msgstr "Tema de" - -msgid "Download source file" -msgstr "DescărcaÈ›i fiÈ™ierul sursă" - -msgid "open issue" -msgstr "problema deschisă" - -msgid "Contents" -msgstr "Cuprins" - -msgid "previous page" -msgstr "pagina anterioară" - -msgid "Download notebook file" -msgstr "DescărcaÈ›i fiÈ™ierul notebook" - -msgid "Copyright" -msgstr "Drepturi de autor" - -msgid "Download this page" -msgstr "Descarcă această pagină" - -msgid "Source repository" -msgstr "Depozit sursă" - -msgid "By" -msgstr "De" - -msgid "repository" -msgstr "repertoriu" - -msgid "Last updated on" -msgstr "Ultima actualizare la" - -msgid "Toggle navigation" -msgstr "Comutare navigare" - -msgid "Sphinx Book Theme" -msgstr "Tema Sphinx Book" - -msgid "suggest edit" -msgstr "sugerează editare" - -msgid "Open an issue" -msgstr "DeschideÈ›i o problemă" - -msgid "Launch" -msgstr "Lansa" - -msgid "Fullscreen mode" -msgstr "Modul ecran întreg" - -msgid "Edit this page" -msgstr "EditaÈ›i această pagină" - -msgid "By the" -msgstr "Langa" - -msgid "next page" -msgstr "pagina următoare" diff --git a/_build/html/_static/locales/ru/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/ru/LC_MESSAGES/booktheme.mo deleted file mode 100644 index 6b8ca41f36ebf869818399a9584cdb15619bea78..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1722 zcmZ{iPiz!b9LJx6N>>C0{~WCHj6uL;MNkv6buUP3NFY{Oy-#-^yQABg$;>R!8?=By zpk6eZkcjo>ZEd^jw#)9`jK?>LiHQeq#*-Is-2D7zrnWZnvTr^!zxmDY_x*j}{=RSL zmx}cqdz}3X`vCjaLtI$99#)E<8sqXP+zofZ{csG9!)M_u@M&0v```y~4>WKujB{Rv zQs)c!1iS-x!|&l!u$%MeJpNn${3n!t_hA9<*pYp|2g>s}lsboC555U^!oQ&C`x}bB zF@i6^7vWp*ZFm@l@KtyR9)~}{gYZ5)1P?rt)qfX0&vOMzodC-FMW|sH%3Qy~Bk&LS zGTh71lK%!g2;Ya|(?xg`eg?&InL*;Bbw69Q%iLQRlGKxI@mH42FH8IruciMpY+9?w z*>bj97p>AWd<Owguyc8|lEQ8#P&TV@hv4PPLlNs2UpM=~=&K)EOs=bt|Yjv8id_3$EYFWp61Twd!?)O2Z^b@jo`zxOlo&{K$k6 z)k-?+UzGmEv~%I?>9doY?~lFqdLcKqSeXk!s4V?^=qzIFXM1NyDcB~ z^h;%Z?8rnx*}Ha_UXm-xW!tfr6}wJC zN81q@gr(9Fv3Bw)dp^0PldHtnY+u_Sxf$6W-wgO>O_L_|y0EwXD@jYPrM(BqO_Ddt zDEk#lk9`p%b*uDr%Zu6PU zG_bh>@urJlTp^1w`f2$AR}2{1AJVy&({OH-XdNXBVw1Appn{Ug&D59FU~!E~qO?uY z2%}Tqa+P*D{a@R!x0@kSMzqWv;2@B-rtEiw@7eZ-vn#fz?Gn!QP_`~@{!JJr^D>2; zYX|@P$s&z$lLI4H4zg!gP;s5$q8v^-E0ZiHHwb^e&1~CN%&|G1oY;Q{yqk7fcCfJk diff --git a/_build/html/_static/locales/ru/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/ru/LC_MESSAGES/booktheme.po deleted file mode 100644 index b1176b7..0000000 --- a/_build/html/_static/locales/ru/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: ru\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "РаÑпечатать в PDF" - -msgid "Theme by the" -msgstr "Тема от" - -msgid "Download source file" -msgstr "Скачать иÑходный файл" - -msgid "open issue" -msgstr "открытый вопроÑ" - -msgid "Contents" -msgstr "Содержание" - -msgid "previous page" -msgstr "ÐŸÑ€ÐµÐ´Ñ‹Ð´ÑƒÑ‰Ð°Ñ Ñтраница" - -msgid "Download notebook file" -msgstr "Скачать файл запиÑной книжки" - -msgid "Copyright" -msgstr "авторÑкое право" - -msgid "Download this page" -msgstr "Загрузите Ñту Ñтраницу" - -msgid "Source repository" -msgstr "ИÑходный репозиторий" - -msgid "By" -msgstr "По" - -msgid "repository" -msgstr "хранилище" - -msgid "Last updated on" -msgstr "ПоÑледнее обновление" - -msgid "Toggle navigation" -msgstr "Переключить навигацию" - -msgid "Sphinx Book Theme" -msgstr "Тема книги СфинкÑ" - -msgid "suggest edit" -msgstr "предложить редактировать" - -msgid "Open an issue" -msgstr "Открыть вопроÑ" - -msgid "Launch" -msgstr "ЗапуÑк" - -msgid "Fullscreen mode" -msgstr "ПолноÑкранный режим" - -msgid "Edit this page" -msgstr "Редактировать Ñту Ñтраницу" - -msgid "By the" -msgstr "ПоÑредÑтвом" - -msgid "next page" -msgstr "Ð¡Ð»ÐµÐ´ÑƒÑŽÑ‰Ð°Ñ Ñтраница" diff --git a/_build/html/_static/locales/sk/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/sk/LC_MESSAGES/booktheme.mo deleted file mode 100644 index 59bd0ddfa341477cf5ccfdc88f4c3e6127046f7a..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1393 zcmZ9KKWrRD6vijSKyrit=ARHoJeoj?1A-``v#uc6mLesxmAg<-Am(Iw==v>7a08THd<;rm`=IpY4k&eh2g>u`gW~ryD0Tk|O5J~fa_(Nc zzXDUK|0PiBy9|o{Iw-jZpgi{xC@mLFS&OFRlMGV#=>h3w2I;R1(UBqg;w6239ut!4 z2~6=jJ)|#^@o`MFWBGp7wHbaCb5`#=8`;KyKjqAuERSl#ePRozQ?f4d$hk4?nu1TZ zgR6YP4{gTW1S)mLYBMzv(*G~Fs-g&qXSOtPDXSYgM5@YEM^4FEtSg)3YP-Y%ZOMdC zvD)#*Ld4O|#+Dj1ex6GgOmu#x24!ySK3$V+!<;9qmRA}zH4R;s6--u7O{SxPiRJy+ zq;ulan3SHU##L?XQ}Ut8GDb>9C5YnoIEmfsY4-#60ct&J{JY}cT{?GeUcb3{a{tPk zZ+F_pc89Z)dlV7it+LR@u2Yh0A2{}J54XBkPtJL5!!G;orcGRGY}TWzBNIC}w9P8? zwMSvx*(oZoi|&^5lh7kuE|;PI&N?-J`)^o!txs1juXogY6?)ZEJ1#xCtJU@>=)Bnr zU1l0t--9arjh>CyA! zZ|R}^TYP-iOeo=k_sEUBK5*0V4ADZtsjcUv$Fb6dIjHA}(Ucy4hGb%cXdqT-thpkjw8w z94mEnM;EAFODWoF<;0UM`ZS%T+8S2)Skfe~=jnmos~5@rll9m4U7_dmM!H@|Co1(H Di}h+h diff --git a/_build/html/_static/locales/sk/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/sk/LC_MESSAGES/booktheme.po deleted file mode 100644 index 6501288..0000000 --- a/_build/html/_static/locales/sk/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: sk\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "TlaÄ do PDF" - -msgid "Theme by the" -msgstr "Téma od" - -msgid "Download source file" -msgstr "Stiahnite si zdrojový súbor" - -msgid "open issue" -msgstr "otvorené vydanie" - -msgid "Contents" -msgstr "Obsah" - -msgid "previous page" -msgstr "predchádzajúca strana" - -msgid "Download notebook file" -msgstr "Stiahnite si zoÅ¡it" - -msgid "Copyright" -msgstr "Autorské práva" - -msgid "Download this page" -msgstr "Stiahnite si túto stránku" - -msgid "Source repository" -msgstr "Zdrojové úložisko" - -msgid "By" -msgstr "Autor:" - -msgid "repository" -msgstr "Úložisko" - -msgid "Last updated on" -msgstr "Posledná aktualizácia dňa" - -msgid "Toggle navigation" -msgstr "Prepnúť navigáciu" - -msgid "Sphinx Book Theme" -msgstr "Téma knihy Sfinga" - -msgid "suggest edit" -msgstr "navrhnúť úpravu" - -msgid "Open an issue" -msgstr "Otvorte problém" - -msgid "Launch" -msgstr "SpustiÅ¥" - -msgid "Fullscreen mode" -msgstr "Režim celej obrazovky" - -msgid "Edit this page" -msgstr "UpraviÅ¥ túto stránku" - -msgid "By the" -msgstr "Podľa" - -msgid "next page" -msgstr "ÄalÅ¡ia strana" diff --git a/_build/html/_static/locales/sl/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/sl/LC_MESSAGES/booktheme.mo deleted file mode 100644 index 87bf26de683cb18c73bd23c2b4c57ef6a02545ec..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1374 zcmZ9KyKfXR5XQ}$9PjWFC=#aOAvj*5h%UN@MVlwf1j4YtMW$vtK7Sz7QA(F{dy;VIIMJx(*A* z*7ZW*5ffN8gWJKa;9hV7oB|Jk$H0AH8=M61fIC3~cY(3y6OjEp2X}z4!0q5`a1Z#l z=EvIprQUx7Io@xu0dCk(-QNlFehOqi$H8~tMQ{`NqvlU=3--Uk-Qc>7LL34o!NcHb zkab@J`TGNq^T|Ly_ZVc|FG1Eh0$KkXa4+~CYpSj^k88a!&*8idy!V z`%t7QK_wv*NO67Y#^!v|yiY#BTT52)n;gGcMsD1kzd5`1{rs78jk>VS#g&{|GD5)F z+$e2lWVfe$pxC~*IM2jgT5~@lP4MDpz zCx-(XW@_w<9uAzh?%#>APv}sH5H9X{E*5diD#H~rZm5EBHe?#D`0z|yaZ3$VV*3d1 zf=gV-^ojji64%jMWljW5^x#&@4 diff --git a/_build/html/_static/locales/sl/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/sl/LC_MESSAGES/booktheme.po deleted file mode 100644 index 3c7e3a8..0000000 --- a/_build/html/_static/locales/sl/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: sl\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "Natisni v PDF" - -msgid "Theme by the" -msgstr "Tema avtorja" - -msgid "Download source file" -msgstr "Prenesite izvorno datoteko" - -msgid "open issue" -msgstr "odprto vpraÅ¡anje" - -msgid "Contents" -msgstr "Vsebina" - -msgid "previous page" -msgstr "PrejÅ¡nja stran" - -msgid "Download notebook file" -msgstr "Prenesite datoteko zvezka" - -msgid "Copyright" -msgstr "avtorske pravice" - -msgid "Download this page" -msgstr "Prenesite to stran" - -msgid "Source repository" -msgstr "Izvorno skladiÅ¡Äe" - -msgid "By" -msgstr "Avtor" - -msgid "repository" -msgstr "odlagaliÅ¡Äe" - -msgid "Last updated on" -msgstr "Nazadnje posodobljeno dne" - -msgid "Toggle navigation" -msgstr "Preklopi navigacijo" - -msgid "Sphinx Book Theme" -msgstr "Tema knjige Sphinx" - -msgid "suggest edit" -msgstr "predlagajte urejanje" - -msgid "Open an issue" -msgstr "Odprite Å¡tevilko" - -msgid "Launch" -msgstr "Kosilo" - -msgid "Fullscreen mode" -msgstr "Celozaslonski naÄin" - -msgid "Edit this page" -msgstr "Uredite to stran" - -msgid "By the" -msgstr "Avtor" - -msgid "next page" -msgstr "Naslednja stran" diff --git a/_build/html/_static/locales/sr/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/sr/LC_MESSAGES/booktheme.mo deleted file mode 100644 index ec740f4852f3973fa72ed0c7f7cf59273b8dba41..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1679 zcmZ{i&2Jk;7>5TMpf#n12FigTrXZCM$qB70R5|j2(nPA%iiifpt=iZVd#SU#+K*9wix4UV%CCk|YD;tzleJn!xzyAg~$`^-$R zf|BP7d;(sF`{57pDcCFcOL6{NvA++c-k-1p_w32;FeHVeLgQ7^hJ zGdzy`B&?ZThjG)5bl^0MnyI@nssG*1CaqRf3ytygl3zFKtP{mL3F=O4>e~0%Ctj_o z-VO+GJncqNV$@vddL;4n-04|$KCc&=z>nP650};Xpy_&-^(oOd-!w}`WnaCJdz$wf zjh4}#bIENuu}cxpT#j>fzSPN!1fjX)`bi;sBz=@L8U~dHCrI%>FtxaRre1!}gb~>) zID-xfGsC|hn|!@gG`2jy9GHrZ5ik|B9M_xHwWbqBCa%6aKU+RIj0+tv zS~OvK#;f^t*K1Vt$ptqqoproMLSHL73QKdXBy?KkSwCEgD%uOOZB#uzt@CB|6;B_j z>SM1?mz2F>J33uW*U}Z+wmY_)ohZA>uESZ+w$lw|zev~9H9JUG(p9@{2io4t;AJmR@7g|5U2Qwul5jS5J6+fI7K$b?*B^Gym(vvm#N%kCu@EWomq3c>6awm HD*E*gL}ZXP diff --git a/_build/html/_static/locales/sr/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/sr/LC_MESSAGES/booktheme.po deleted file mode 100644 index 773b8ad..0000000 --- a/_build/html/_static/locales/sr/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: sr\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "ИÑÐ¿Ð¸Ñ Ñƒ ПДФ" - -msgid "Theme by the" -msgstr "Тхеме би" - -msgid "Download source file" -msgstr "Преузми изворну датотеку" - -msgid "open issue" -msgstr "отворено издање" - -msgid "Contents" -msgstr "Садржај" - -msgid "previous page" -msgstr "Претходна Ñтраница" - -msgid "Download notebook file" -msgstr "Преузмите датотеку бележнице" - -msgid "Copyright" -msgstr "ÐуторÑко право" - -msgid "Download this page" -msgstr "Преузмите ову Ñтраницу" - -msgid "Source repository" -msgstr "Изворно Ñпремиште" - -msgid "By" -msgstr "Од Ñтране" - -msgid "repository" -msgstr "Ñпремиште" - -msgid "Last updated on" -msgstr "ПоÑледње ажурирање" - -msgid "Toggle navigation" -msgstr "Укључи / иÑкључи навигацију" - -msgid "Sphinx Book Theme" -msgstr "Тема књиге Спхинк" - -msgid "suggest edit" -msgstr "предложи уређивање" - -msgid "Open an issue" -msgstr "Отворите издање" - -msgid "Launch" -msgstr "ЛанÑирање" - -msgid "Fullscreen mode" -msgstr "Режим целог екрана" - -msgid "Edit this page" -msgstr "Уредите ову Ñтраницу" - -msgid "By the" -msgstr "Од" - -msgid "next page" -msgstr "Следећа Ñтрана" diff --git a/_build/html/_static/locales/sv/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/sv/LC_MESSAGES/booktheme.mo deleted file mode 100644 index b07dc76ff21128244172d2e415cc899555d8b49d..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1365 zcmZ9Ky>App7{XZ}|d=zQVMY>d0>TJUwK!GS|siLHd(&c$~H~3(*Gryg$_j%@>d3o;WBZ2ZE>JsWR z)Jv%M7to-bct;3);v|}P!BgM~@H}`DTmmnGm%$If0eB9)11^FDo&i(GpFxiE5Ihb3 z0-geY1>Xk`IzH{jUv&LfAnW}L_P`@Y+Wm_l_m@D9a|Qez{0hWU@h8Z7e}laLACT8A z9Bq9sg6#KG@FQ>;^|ue&MB7Xc{&_$WV4fmrpPUX_NMBC1d<&HLVI2>ISM)cNT zDs_}z6(rVjoe=u}?s{cR90ejPCoU&(OT{EBpQ}W+2Kkatlh7xu)KFSXs3tL$x9(u73Q%I)?{Lst}rq*YU0sH7ocX*ad*9P6|q zKG0OVs2vT8zb&|U%F`w^(-Z1 zKF^i36kcC+hKrsX9@jHt-W)0~UWJ0RHRwJIJFG|WNq7Z50sn;0!@U&o7(5PV;9F4M{{RobKj41& z@a;;?!xtbeX@>OX{(5y6M3y47A9wJS8l@l7I~meb8I-3U@UzelnM(bH_d|LjeI~u4 zB&Ck5^3z4%s2P{8W=Y&H)T}#g2QKPq>k6~t+?)DDGB7*axf^C(bKPdqPja0`u~Boq zq#)vWxe(=r9;UshFg@+8T8M_W+gC58#_GuGB+rLNEoOcl%M6n_~Kv<@xsE9lI>D`3aM?=WN&Y5*v5);gzIlEkrgR(mY~Bt;NAGiw5m^ zmz~Tz+NOS)Pd_uI!*qJT)%&LPp{J%=sw%gu@~f)+wA%QnDo0iMT~%)Q%}sWAT~-@s zt8&XvWPPzJFLmFFj3kCLZVZKXbJg6qObpgpYXhKc{dPQvXD4*l1`&-oR|ZVWnD5S zLMPGk+4yL_MW)wWJ7GI+sWh)Cq}dE7ao%TGqX8uPK%$P%oUIVNaozG6uhIA~XTs-( z77E8j3VKIkNhd=@QrBItuMs9x^kr3kK4HautE;{2cexG}GQN=#P4;o6q{&7}8xZ++ zl w$ZZQ&WaeX;?9mtGBq&}escqTfGyJc(*W8(47(T)#0?{xcP9tpFr||Or2L57y?*IS* diff --git a/_build/html/_static/locales/ta/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/ta/LC_MESSAGES/booktheme.po deleted file mode 100644 index b48bdfa..0000000 --- a/_build/html/_static/locales/ta/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,66 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: ta\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "PDF இல௠அசà¯à®šà®¿à®Ÿà¯à®•" - -msgid "Theme by the" -msgstr "வழஙà¯à®•à®¿à®¯ தீமà¯" - -msgid "Download source file" -msgstr "மூல கோபà¯à®ªà¯ˆà®ªà¯ பதிவிறகà¯à®•à¯à®•" - -msgid "open issue" -msgstr "திறநà¯à®¤ பிரசà¯à®šà®¿à®©à¯ˆ" - -msgid "previous page" -msgstr "à®®à¯à®¨à¯à®¤à¯ˆà®¯ பகà¯à®•à®®à¯" - -msgid "Download notebook file" -msgstr "நோடà¯à®ªà¯à®•à¯ கோபà¯à®ªà¯ˆà®ªà¯ பதிவிறகà¯à®•à®µà¯à®®à¯" - -msgid "Copyright" -msgstr "பதிபà¯à®ªà¯à®°à®¿à®®à¯ˆ" - -msgid "Download this page" -msgstr "இநà¯à®¤à®ªà¯ பகà¯à®•à®¤à¯à®¤à¯ˆà®ªà¯ பதிவிறகà¯à®•à®µà¯à®®à¯" - -msgid "Source repository" -msgstr "மூல களஞà¯à®šà®¿à®¯à®®à¯" - -msgid "By" -msgstr "வழஙà¯à®•à®¿à®¯à®µà®°à¯" - -msgid "Last updated on" -msgstr "கடைசியாக பà¯à®¤à¯à®ªà¯à®ªà®¿à®•à¯à®•à®ªà¯à®ªà®Ÿà¯à®Ÿà®¤à¯" - -msgid "Toggle navigation" -msgstr "வழிசெலà¯à®¤à¯à®¤à®²à¯ˆ நிலைமாறà¯à®±à¯" - -msgid "Sphinx Book Theme" -msgstr "ஸà¯à®ªà®¿à®™à¯à®•à¯à®¸à¯ பà¯à®¤à¯à®¤à®• தீமà¯" - -msgid "suggest edit" -msgstr "திரà¯à®¤à¯à®¤ பரிநà¯à®¤à¯à®°à¯ˆà®•à¯à®•à®µà¯à®®à¯" - -msgid "Open an issue" -msgstr "சிகà¯à®•à®²à¯ˆà®¤à¯ திறகà¯à®•à®µà¯à®®à¯" - -msgid "Launch" -msgstr "தொடஙà¯à®•" - -msgid "Edit this page" -msgstr "இநà¯à®¤à®ªà¯ பகà¯à®•à®¤à¯à®¤à¯ˆà®¤à¯ திரà¯à®¤à¯à®¤à®µà¯à®®à¯" - -msgid "By the" -msgstr "மூலமà¯" - -msgid "next page" -msgstr "அடà¯à®¤à¯à®¤ பகà¯à®•à®®à¯" diff --git a/_build/html/_static/locales/te/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/te/LC_MESSAGES/booktheme.mo deleted file mode 100644 index 0a5f4b46adfda1551ae6791c3c3782525b61be04..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1806 zcmbu8?`s@I7{^DgzpiR+74e1QD2kPOYU&G1LO_}((2{DPsaEjK=5D&TdYxHz_mbva zT2L$M3z1kXg(AcfwAS4~Neb5f0lujqQV?VieD5FN3qLcn=UrpK7cRH^*?DH3U*CQ1 zw_V$o1=qvek8yv`{W$mAxAEY*0dI#t!Motk@Lu>Ud<6aho$p_87u?C=2jJ6i2YeYi zzX^ChJOuB9$KXz=YA)3F59{^k(B)Z$4Y&rK|263Re}o(GCUki}y(4f1KFWF>z6o!@ z*Wm7LLQKL1xEEf7ufjj!vvA~2A@;zx;Pdc3_zYZw?)**o1l&$Dhu|Lg6r6|7{snaU zU4^f}Um%kFbGaHHtXJD1WeGz1>mHu2N2iC=&RtGZchR1B$iD?W+^g&V?%L)waXOPu z(25ZI7x~Geqr`+s7qcYp6yktc&|MR?r8b3{Gv-}+Jn5=|IXAtmr8XIhPLj(sij|mb zCj}Av%jqaDWG`(;g=$Nq#dOrut&Vs-Ra!<`CVAddVkS#8PDaigm=Z@q{7j`LPYRPQ ziX&+!(I@48SIcZiolwF*xU=VM^?@zFv*l@L zDz6jwvaMLG-4f{crQm*REN}ghN#a8coKPu>p z%YTFt$m|qAXTDh&g5gT~hljsJ*ry=A+<9Nb1sA(o5-xGw{Z;?6OlS@gI#jemLQG%z zrpf6>XY=H3-bW;Qrf>v2>%ZN4n4aM|U<|2-ZBn^mBghuhM0)Dv2+@ei()B(V2&(za uuMrF7ToguSy%w`N&3+IHSt#2LVBfiP)B5iT;9Jx)h5&elIS4O(ZT|-CPABOA diff --git a/_build/html/_static/locales/te/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/te/LC_MESSAGES/booktheme.po deleted file mode 100644 index 952278f..0000000 --- a/_build/html/_static/locales/te/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,66 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: te\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "PDF à°•à°¿ à°®à±à°¦à±à°°à°¿à°‚à°šà°‚à°¡à°¿" - -msgid "Theme by the" -msgstr "à°¦à±à°µà°¾à°°à°¾ థీమà±" - -msgid "Download source file" -msgstr "మూల ఫైలà±â€Œà°¨à± డౌనà±â€Œà°²à±‹à°¡à± చేయండి" - -msgid "open issue" -msgstr "ఓపెనౠఇషà±à°¯à±‚" - -msgid "previous page" -msgstr "à°®à±à°‚దౠపేజి" - -msgid "Download notebook file" -msgstr "నోటà±à°¬à±à°•à± ఫైలà±à°¨à± డౌనà±à°²à±‹à°¡à± చేయండి" - -msgid "Copyright" -msgstr "కాపీరైటà±" - -msgid "Download this page" -msgstr "à°ˆ పేజీని డౌనà±â€Œà°²à±‹à°¡à± చేయండి" - -msgid "Source repository" -msgstr "మూల రిపోజిటరీ" - -msgid "By" -msgstr "à°¦à±à°µà°¾à°°à°¾" - -msgid "Last updated on" -msgstr "చివరిగా నవీకరించబడింది" - -msgid "Toggle navigation" -msgstr "నావిగేషనà±â€Œà°¨à± టోగà±à°²à± చేయండి" - -msgid "Sphinx Book Theme" -msgstr "సింహిక à°ªà±à°¸à±à°¤à°• థీమà±" - -msgid "suggest edit" -msgstr "సవరించమని సూచించండి" - -msgid "Open an issue" -msgstr "సమసà±à°¯à°¨à± తెరవండి" - -msgid "Launch" -msgstr "à°ªà±à°°à°¾à°°à°‚à°­à°¿à°‚à°šà°‚à°¡à°¿" - -msgid "Edit this page" -msgstr "à°ˆ పేజీని సవరించండి" - -msgid "By the" -msgstr "à°¦à±à°µà°¾à°°à°¾" - -msgid "next page" -msgstr "తరà±à°µà°¾à°¤à°¿ పేజీ" diff --git a/_build/html/_static/locales/tg/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/tg/LC_MESSAGES/booktheme.mo deleted file mode 100644 index b21c6c6340194fdf35f7e5660deb42479c8dbff9..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1628 zcmaiyO^6gn6vxZY=tNE8S5Q|hA#9RE$8XSGCI@vF1jR*HLCB?drtIlBTh(+|t9#pZ z_b^Dr#19Y@K@`-J?Yg?{x;qOwd8{6D@{o&%oP^*d#K?f}Wpw_pnH1Q&v@ z3%&tK*FWF}u!PNBU}wRfz%8&Zfe!dP_zn0sxE@@yD9?KJ9kAteKMU^WF zJC>CiI~?GEE4d#GJ20M-!R?)~ z>>S<1-6l7a<}oHySZKVs&CQhc{Mbyqb88w7X3RqzI{&F#*USvhMoiLrM6s>Hk4E|6 zc@o%qM9F2t?V4KSrinZf?58}t0JXzb84{b#Mr}$-{y{=+V#Xn)X(lNzTPtR6wl32O zGdJL5Bs-5oxB+T`zIGRrAt`^lPLZT?M?g!0angPB{%GR5vxHp0oR8Arqi zbZiRp&%w__8!lf*NbDpe;WA2%r?Xi$atSF8VXr;q_FB@_W_A(5kPfr&0p+;^8?eY= pg1vVOUqyoB&tBYSn9xh&7BjPW`v%MukJU629MMs5Ow+8v{s(GpYQg{j diff --git a/_build/html/_static/locales/tg/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/tg/LC_MESSAGES/booktheme.po deleted file mode 100644 index c33dc42..0000000 --- a/_build/html/_static/locales/tg/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: tg\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "Чоп ба PDF" - -msgid "Theme by the" -msgstr "Мавзӯъи аз" - -msgid "Download source file" -msgstr "Файли манбаъро зеркашӣ кунед" - -msgid "open issue" -msgstr "барориши кушод" - -msgid "Contents" -msgstr "Мундариҷа" - -msgid "previous page" -msgstr "Ñаҳифаи қаблӣ" - -msgid "Download notebook file" -msgstr "Файли дафтарро зеркашӣ кунед" - -msgid "Copyright" -msgstr "Ҳуқуқи муаллиф" - -msgid "Download this page" -msgstr "Ин Ñаҳифаро зеркашӣ кунед" - -msgid "Source repository" -msgstr "Ðнбори манбаъ" - -msgid "By" -msgstr "Бо" - -msgid "repository" -msgstr "анбор" - -msgid "Last updated on" -msgstr "Last навÑозӣ дар" - -msgid "Toggle navigation" -msgstr "Гузаришро иваз кунед" - -msgid "Sphinx Book Theme" -msgstr "Ð¡Ñ„Ð¸Ð½ÐºÑ ÐœÐ°Ð²Ð·Ó¯Ð¸ китоб" - -msgid "suggest edit" -msgstr "пешниҳод вироиш" - -msgid "Open an issue" -msgstr "МаÑъаларо кушоед" - -msgid "Launch" -msgstr "Оғоз" - -msgid "Fullscreen mode" -msgstr "Ҳолати Ñкрани пурра" - -msgid "Edit this page" -msgstr "Ин Ñаҳифаро таҳрир кунед" - -msgid "By the" -msgstr "Бо" - -msgid "next page" -msgstr "Ñаҳифаи оÑнда" diff --git a/_build/html/_static/locales/th/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/th/LC_MESSAGES/booktheme.mo deleted file mode 100644 index abede98aa11b163e580a26b545980ace31e61ccf..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1766 zcma)*-)|K~6vqcarB^@&)CU_K663GrYB9uM>wQ7mgal$EMW46#4trN`XEwWgD~&H; 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cLPeiV0|6qlnFzL#U0qn`*`iT?nxl@xb2Mx-{rpyeF$L|PmGL73Xj zjT&US*r9DL+Oc6=XyNi4J`IP)4~3RpiSp}N5WkMWZ=`O(hjnrBo?i;ppCMASYj{fI qV*6MBqwc03(drtRAFXAoSBd=B?a4S*sk|OB^ZqtY{YJQZ;_45RC*i9A diff --git a/_build/html/_static/locales/th/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/th/LC_MESSAGES/booktheme.po deleted file mode 100644 index 9d24294..0000000 --- a/_build/html/_static/locales/th/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: th\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "พิมพ์เป็น PDF" - -msgid "Theme by the" -msgstr "ธีมโดย" - -msgid "Download source file" -msgstr "ดาวน์โหลดไฟล์ต้นฉบับ" - -msgid "open issue" -msgstr "เปิดปัà¸à¸«à¸²" - -msgid "Contents" -msgstr "สารบัà¸" - -msgid "previous page" -msgstr "หน้าที่à¹à¸¥à¹‰à¸§" - -msgid "Download notebook file" -msgstr "ดาวน์โหลดไฟล์สมุดบันทึà¸" - -msgid "Copyright" -msgstr "ลิขสิทธิ์" - -msgid "Download this page" -msgstr "ดาวน์โหลดหน้านี้" - -msgid "Source repository" -msgstr "ที่เà¸à¹‡à¸šà¸‹à¸­à¸£à¹Œà¸ª" - -msgid "By" -msgstr "โดย" - -msgid "repository" -msgstr "ที่เà¸à¹‡à¸š" - -msgid "Last updated on" -msgstr "ปรับปรุงล่าสุดเมื่อ" - -msgid "Toggle navigation" -msgstr "ไม่ต้องสลับช่องทาง" - -msgid "Sphinx Book Theme" -msgstr "ธีมหนังสือสฟิงซ์" - -msgid "suggest edit" -msgstr "à¹à¸™à¸°à¸™à¸³à¹à¸à¹‰à¹„ข" - -msgid "Open an issue" -msgstr "เปิดปัà¸à¸«à¸²" - -msgid "Launch" -msgstr "เปิด" - -msgid "Fullscreen mode" -msgstr "โหมดเต็มหน้าจอ" - -msgid "Edit this page" -msgstr "à¹à¸à¹‰à¹„ขหน้านี้" - -msgid "By the" -msgstr "โดย" - -msgid "next page" -msgstr "หน้าต่อไป" diff --git a/_build/html/_static/locales/tl/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/tl/LC_MESSAGES/booktheme.mo deleted file mode 100644 index 8df1b73310e0c606251d1abff7e6033d1f6b273f..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1273 zcmZ{iJ#P~+7{?8ixA4}MHz7bWh@lJz6qYJggw!_(YD=U9)PcpxxsJ)jKAr8h8TbH< zl>mt^fEW=h3@|dWP{DwN#01}fk%9knmnKyup2YV%`|Ricw;%r;A9>CYr_e5-eL%a2 z_Gk|th%ew?a0@&DeghAKKfp8KZ;;mh1;@cLOg;`?0Z)LpKw38o9s}=zN5K_v43vGY z_s5_1`!7J!c@37pw;-+m2-5n`;Ct{ph(FuhSLAyJ(z;h52j75~!7cDS_y;@-j*b-m zC%}W~-v&p)J0SUA0Z)SpJPAGlY2GGy4txoc|92qy`UKMYuOOYrFAzsE2s#`3PH_Yc zHrRgZAP%9?9w{GbQ&0{H+8gOp(7q^W|Kx>&wCSAbj3LR`Ob>tV+mg-Nw3lhs_H53s zo5YHk8|!7$+74gUi5w0)8?u(%HR#*g@l+_u=40)Val5-HoaZ5pg_kk6hAoOEtD7`fpKHxt1^q`P0PmGs4|~w zYF}CuMg<%mawMf%5;BoQ3pVSzGB;`7b(Ndbym+ll7=Ee3C$CPI*s^AIft_~oQ`+M| zjoMMlC845tP)?QC3^N9mW&fLyY9mxPB*L)jFaumd3$>sZlm_4E_)y1P<99=X&7mSu zQF#bj7^^11I1!U-GjxO_E86t}@}&6i_@% diff --git a/_build/html/_static/locales/tl/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/tl/LC_MESSAGES/booktheme.po deleted file mode 100644 index 20e0d07..0000000 --- a/_build/html/_static/locales/tl/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,66 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: tl\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "I-print sa PDF" - -msgid "Theme by the" -msgstr "Tema ng" - -msgid "Download source file" -msgstr "Mag-download ng file ng pinagmulan" - -msgid "open issue" -msgstr "bukas na isyu" - -msgid "previous page" -msgstr "Nakaraang pahina" - -msgid "Download notebook file" -msgstr "Mag-download ng file ng notebook" - -msgid "Copyright" -msgstr "Copyright" - -msgid "Download this page" -msgstr "I-download ang pahinang ito" - -msgid "Source repository" -msgstr "Pinagmulan ng imbakan" - -msgid "By" -msgstr "Ni" - -msgid "Last updated on" -msgstr "Huling na-update noong" - -msgid "Toggle navigation" -msgstr "I-toggle ang pag-navigate" - -msgid "Sphinx Book Theme" -msgstr "Tema ng Sphinx Book" - -msgid "suggest edit" -msgstr "iminumungkahi i-edit" - -msgid "Open an issue" -msgstr "Magbukas ng isyu" - -msgid "Launch" -msgstr "Ilunsad" - -msgid "Edit this page" -msgstr "I-edit ang pahinang ito" - -msgid "By the" -msgstr "Sa pamamagitan ng" - -msgid "next page" -msgstr "Susunod na pahina" diff --git a/_build/html/_static/locales/tr/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/tr/LC_MESSAGES/booktheme.mo deleted file mode 100644 index 029ae18afb5360a8c238a052e8d3971761759d3d..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1373 zcmZ{izi%8x6vqdWKynFz!~~?sQXUOIiX{o62)3@sVLOWA2n!$dC&=i7J19yL{j6T0W2%?d)gY?96-L@67yl{`g~s z_CESD`XA_*&>y~r7uw0!mBOP=;q?Z120RHafv3P_@ICND@LjMEo(I1M&w>oT4aSc5 zLCNz7d<%R6o&kRZ&w(7D`FN2cjBk&jSbMQ3yvf}|L z^-dgb=PiL35fdohSHUH48x$WIDEhw##oq%^>ihtT&YwW>`D+*d4$8W}!FRxeF7BOZ z>s|syPtwI-fS96gfHHp*lr0wzl2>wx9;q$97n`h;HKI?N=#nP7WUs~N1$3mG*A#z? zP4-{T@J)1V%lv%Rpus~iXZ5ACk!=k4s2XpwJgPPKoh_YC$-2lp&J{E^B_9n3SNjqF zXE5d_P^B|g>#2!IeHd=kWf?}E+0w+NtTuIsR9C5voRYJMYdgx-R~05`OD2Sx)s{CF zNgQphZK&MIp`-&XC zw^i0&m&u0nldwXznunqP*($Z4{f{ku(5I`PtoGDUdp(}*+f>_seb0WLJ~cMw0*C6= zkV`YBTo=V`U#;;tvZvIAMh7gN?Gt7i9EQ538>@@sDR7=_PxgBv?;s7aXZ*rps`o&(U<3tx~U_1rqYg?0^K7|^E%RsJ#t%4f8 zo6h$Ap{&BCl*;`;;xXGI&@B^nMMIv5kwyPFiiuV?c-PnoHwMdQd*;PnG+qT~k=xL= f7*f}zXhDUuwVFPIQ2d!&RZ>YE8iRKH#ZJBgJpfrQ diff --git a/_build/html/_static/locales/tr/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/tr/LC_MESSAGES/booktheme.po deleted file mode 100644 index a77eb02..0000000 --- a/_build/html/_static/locales/tr/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: tr\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "PDF olarak yazdır" - -msgid "Theme by the" -msgstr "Tarafından tema" - -msgid "Download source file" -msgstr "Kaynak dosyayı indirin" - -msgid "open issue" -msgstr "Açık konu" - -msgid "Contents" -msgstr "İçindekiler" - -msgid "previous page" -msgstr "önceki sayfa" - -msgid "Download notebook file" -msgstr "Defter dosyasını indirin" - -msgid "Copyright" -msgstr "Telif hakkı" - -msgid "Download this page" -msgstr "Bu sayfayı indirin" - -msgid "Source repository" -msgstr "Kaynak kod deposu" - -msgid "By" -msgstr "Tarafından" - -msgid "repository" -msgstr "depo" - -msgid "Last updated on" -msgstr "Son güncelleme tarihi" - -msgid "Toggle navigation" -msgstr "Gezinmeyi deÄŸiÅŸtir" - -msgid "Sphinx Book Theme" -msgstr "Sfenks Kitap Teması" - -msgid "suggest edit" -msgstr "düzenleme öner" - -msgid "Open an issue" -msgstr "Bir sorunu açın" - -msgid "Launch" -msgstr "BaÅŸlatmak" - -msgid "Fullscreen mode" -msgstr "Tam ekran modu" - -msgid "Edit this page" -msgstr "Bu sayfayı düzenle" - -msgid "By the" -msgstr "Tarafından" - -msgid "next page" -msgstr "sonraki Sayfa" diff --git a/_build/html/_static/locales/uk/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/uk/LC_MESSAGES/booktheme.mo deleted file mode 100644 index 16ab78909cfbaba7fa199f47fdfc2934426ac699..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1681 zcmZvaO>7%Q6vv0QKx#^WmXAw-X;52=V^7yhotb5Kwlue- zPJ@uD1fdWPh|e20*TKPc;zZ)a@r}d@A+B8DUJjM|f4dvvq>McK+j;xuef*#QJbLI0 zf%O{p5cY4_Z(`qj3JD;1Tdg@Fj3P=dZc__x$`9$oc*S3*fo^agnKo4Zexd+ydwLFH++H&9h3nhscvH3nP?w=Ry$GKV8 zSFn*%JcrG*?O#Zh&hS|fa-{PW7iaO4wx+~;Mq8zAjF)gW3jCTCm(0hyZoI10#;R#! zZps@$UG17A`bVb!y$DvicD z(UqEbKZJv)We~@S5))CN5yZ%eOXK2NmM>DFi34k*S#d3_1^TwU$hA$?)Ql48Q%+|+ zO&Q;>E2+I(f$!M>Nwm6cv+4}z$&!STx)qotFS{>%ocO*%l?t7p6!W2~*y81C@dFjb zh*pwW{vziurkM*@FJB$o{eEubY#|r6I5iuplC&t`Oj!2O`(TSv<;z`$dL~;A5u^%qBgBK^s=!h>rLI6)qdpT zRwLUoA{Qc+BL{@CNd#$~fM}{TM=rgzQV%n0sfS7&;BP2WpLe~9L#0ZLy!)G(eLtS} z@uTBCHyGACc;3gei{}G8S6;vi>pu7*_yBwvdd_{ zw7^~PH24qrDR`oXv3~FiknZO|ioXGV2*%(?;Gf{z;NRf8;J+FBUg~@w04eVRNO2|b zJ#Z2H7+e8i$-yFT-pWp-6LJ_r(sdMXnvv>}ceKb;S{N^_PkZu%7R~=ky6bpCK9k3g z$k@3h{CHRvY(#lWzU!1jHmVk6McE}TRVZeZy2@wWis)VkD)Nisnai;32Hdk9!Ny8% zh>H8iNjnI6>?(vD=Y%)au3|&?BFFX~vq4Jm5 zMX&72MShO7Oqazq!O}OM=}4bej#Cj_+Vieshc22(u^4vLDC*N`;`w6URZ%80h#W^i znt)vNS978mS`#JfvhV|x$n#E9i<(+#yWIJS^JCrbgJ(X=jVKuk8Cugzp2+hMT?f31 z?aE=i4%v6}~kli>l;GC(nmw+%Pw3ODBSPc^>(>sY>MA6>D7i z*MdBkUV01)pAYlSw$Ly6$pRnzWH`t4n!cr5?Pa~wuCipkz0CC=x@BmuW3xx+mX7tR z*NZtNFp)tbr@2L4}dj%B? z$~?F1e_~CYdU3r0$=I6uq5ePVO_Bn=P}riFSZ}qf6oE57w5w3K+FoX+hEW?y<4|&p zx|p)Aw=sGx%}Vw#el49X^(ARiaRizwH+vA!fH?=_BQ=JATO9Uo!rm6_g(Z9Fvrf~J ziFzY}!KTjO`w9hS|3mkKY2Z8hBsWpwH*$FgF5fip{lMp#&N|*Vkp4MHrJJsNw1%8D c^9?3>eEmE8GP@z_uy-`khW>?G>aA{%rxd0lq5uE@ diff --git a/_build/html/_static/locales/ur/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/ur/LC_MESSAGES/booktheme.po deleted file mode 100644 index 2f77426..0000000 --- a/_build/html/_static/locales/ur/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,66 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: ur\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "Ù¾ÛŒ ÚˆÛŒ ای٠پرنٹ کریں" - -msgid "Theme by the" -msgstr "Ú©Û’ Ø°Ø±ÛŒØ¹Û ØªÚ¾ÛŒÙ…" - -msgid "Download source file" -msgstr "سورس Ùائل ڈاؤن لوڈ کریں" - -msgid "open issue" -msgstr "کھلا مسئلÛ" - -msgid "previous page" -msgstr "Ø³Ø§Ø¨Ù‚Û â€‹â€‹ØµÙØ­Û" - -msgid "Download notebook file" -msgstr "نوٹ بک Ùائل ڈاؤن لوڈ کریں" - -msgid "Copyright" -msgstr "کاپی رائٹ" - -msgid "Download this page" -msgstr "اس صÙØ­Û’ Ú©Ùˆ ڈاؤن لوڈ کریں" - -msgid "Source repository" -msgstr "ماخذ ذخیرÛ" - -msgid "By" -msgstr "بذریعÛ" - -msgid "Last updated on" -msgstr "آخری بار ØªØ§Ø²Û Ú©Ø§Ø±ÛŒ Ûوئی" - -msgid "Toggle navigation" -msgstr "نیویگیشن ٹوگل کریں" - -msgid "Sphinx Book Theme" -msgstr "سپنکس بک تھیم" - -msgid "suggest edit" -msgstr "ترمیم Ú©ÛŒ تجویز کریں" - -msgid "Open an issue" -msgstr "ایک Ù…Ø³Ø¦Ù„Û Ú©Ú¾ÙˆÙ„ÛŒÚº" - -msgid "Launch" -msgstr "لانچ کریں" - -msgid "Edit this page" -msgstr "اس صÙØ­Û’ میں ترمیم کریں" - -msgid "By the" -msgstr "Ú©ÛŒ طرÙ" - -msgid "next page" -msgstr "اگلا صÙØ­Û" diff --git a/_build/html/_static/locales/vi/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/vi/LC_MESSAGES/booktheme.mo deleted file mode 100644 index 2bb32555c3ea0dab08ed37b71cb863fbe75698c6..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1431 zcmZvb&x;&I6vr#s{2bR9catc(#OK8%htWiG2(!#(H#@MntBVvV&v#)!JFr^_{KP>F`@nJV05}OA1gF4b;9KAkunA6pAA*NK z3BCmSiq}An^CkEqxCxGf--9oMKUe&tTK}_}KL%Ov30MQi#>)GLK%P&59Onf13wRdX z3;qSN-ajCp`xj*0y?e@hC&AY-KMlSLE>x7&{%7EEtZ#xGrw?+zzkx4+4=O$aInLi8 z=P?fP6X0=>=PmFs_%X6t9{djXqq7H;REU`#e&m%Dv(|WNyu(A%OLe5YIB!2Su?;$8te4By zUZxct%bjIsvow_dS@cRfN`gp=xsLV-{cPIG;@E|$l!jJqM~a2OdCHPb;AMxb!8|je z5+5Wu5E#l0;esOMR|IFK`YgJ+E?Oq}qlDRK7TFmDND~hLNUKno*_5*I#duC ze1pUH?uya95XS7fK6vqb$6da&5d>$e(Tqr%5FL8(*`2r*YiH`^Z>aE(?ll6i#v)Y{nLNAmS zVZLM|@+Cqff{+L(H9>+X*h#n|&YXJarQWrDsNf1G{?EIRgwekJ?VFu>|Np%Cx20*2 zVQfXTBHkmmBW^Fl3uEes3ZOb zQk?;C9XJZE1)qXHfzuJ+M)Utfc@-qRPhbpOu_D~R9;Cb#q&h!?W$*w<>pw>P43chB zQ^;m;Gx8RY{OyX^7V!v3^?n6uod9Y7@6r5Kko@OC(isEk+)qHNR|2Y~glBh97KqDQIoyw}Q#g=trLPD*?? 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P`(Y`Xeqh$BP|E%Rvo4ks diff --git a/_build/html/_static/locales/zh_TW/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/zh_TW/LC_MESSAGES/booktheme.po deleted file mode 100644 index beecb07..0000000 --- a/_build/html/_static/locales/zh_TW/LC_MESSAGES/booktheme.po +++ /dev/null @@ -1,75 +0,0 @@ - -msgid "" -msgstr "" -"Project-Id-Version: Sphinx-Book-Theme\n" -"MIME-Version: 1.0\n" -"Content-Type: text/plain; charset=UTF-8\n" -"Content-Transfer-Encoding: 8bit\n" -"Language: zh_TW\n" -"Plural-Forms: nplurals=2; plural=(n != 1);\n" - -msgid "Print to PDF" -msgstr "列å°æˆ PDF" - -msgid "Theme by the" -msgstr "佈景主題作者：" - -msgid "Download source file" -msgstr "下載原始檔" - -msgid "open issue" -msgstr "公開的å•é¡Œ" - -msgid "Contents" -msgstr "目錄" - -msgid "previous page" -msgstr "上一é " - -msgid "Download notebook file" -msgstr "下載 Notebook 檔案" - -msgid "Copyright" -msgstr "Copyright" - -msgid "Download this page" -msgstr "下載此é é¢" - -msgid "Source repository" -msgstr "來æºå„²å­˜åº«" - -msgid "By" -msgstr "作者：" - -msgid "repository" -msgstr "儲存庫" - -msgid "Last updated on" -msgstr "最後更新時間：" - -msgid "Toggle navigation" -msgstr "顯示或隱è—導覽列" - -msgid "Sphinx Book Theme" -msgstr "Sphinx Book 佈景主題" - -msgid "suggest edit" -msgstr "æ出修改建議" - -msgid "Open an issue" -msgstr "é–‹å•Ÿè­°é¡Œ" - -msgid "Launch" -msgstr "å•Ÿå‹•" - -msgid "Fullscreen mode" -msgstr "全螢幕模å¼" - -msgid "Edit this page" -msgstr "編輯此é é¢" - -msgid "By the" -msgstr "作者：" - -msgid "next page" -msgstr "下一é " diff --git a/_build/html/_static/logo.png b/_build/html/_static/logo.png deleted file mode 100644 index 06d56f40c838b64eb048a63e036125964a069a3a..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 9854 zcmcJ#_ghoX7cGn*K?4W`P^xr9dX-2=s)7_L0g)Pd2}GoYu8}Goq=uqY=^(vJ3q7D9 zgx&ncihTY58>yQhyHVAq6+lGO~MVagOauq5m9v<`6Yyea8LU7g^33d5#6JIpIaLG z-1|gCJhU3BN``QY-K@=)`@JW9M^t~b7uLWQYei|mDOJQ5UUg0~vIqbGt~C8wn@$P% z5pl~zRjG%ihlB(HjNnDEe-dDz2JixSk(`6?==a`q;3sz5kB=vYkB^Usv)VI9k21rD 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o=this._getItemIndex(s),r=e=>fe.trigger(this._element,e,{relatedTarget:s,direction:this._orderToDirection(t),from:this._getItemIndex(i),to:o});if(r(Ye).defaultPrevented)return;if(!i||!s)return;const a=Boolean(this._interval);this.pause(),this._isSliding=!0,this._setActiveIndicatorElement(o),this._activeElement=s;const l=n?"carousel-item-start":"carousel-item-end",c=n?"carousel-item-next":"carousel-item-prev";s.classList.add(c),qt(s),i.classList.add(l),s.classList.add(l),this._queueCallback((()=>{s.classList.remove(l,c),s.classList.add(ei),i.classList.remove(ei,c,l),this._isSliding=!1,r(Ke)}),i,this._isAnimated()),a&&this.cycle()}_isAnimated(){return this._element.classList.contains("slide")}_getActive(){return we.findOne(si,this._element)}_getItems(){return we.find(ni,this._element)}_clearInterval(){this._interval&&(clearInterval(this._interval),this._interval=null)}_directionToOrder(t){return Kt()?t===qe?Re:ze:t===qe?ze:Re}_orderToDirection(t){return 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.${gi}`,vi='[data-bs-toggle="collapse"]',yi={parent:null,toggle:!0},wi={parent:"(null|element)",toggle:"boolean"};class Ei extends ve{constructor(t,e){super(t,e),this._isTransitioning=!1,this._triggerArray=[];const i=we.find(vi);for(const t of i){const e=we.getSelectorFromElement(t),i=we.find(e).filter((t=>t===this._element));null!==e&&i.length&&this._triggerArray.push(t)}this._initializeChildren(),this._config.parent||this._addAriaAndCollapsedClass(this._triggerArray,this._isShown()),this._config.toggle&&this.toggle()}static get Default(){return yi}static get DefaultType(){return wi}static get NAME(){return"collapse"}toggle(){this._isShown()?this.hide():this.show()}show(){if(this._isTransitioning||this._isShown())return;let t=[];if(this._config.parent&&(t=this._getFirstLevelChildren(".collapse.show, .collapse.collapsing").filter((t=>t!==this._element)).map((t=>Ei.getOrCreateInstance(t,{toggle:!1})))),t.length&&t[0]._isTransitioning)return;if(fe.trigger(this._element,hi).defaultPrevented)return;for(const e of t)e.hide();const e=this._getDimension();this._element.classList.remove(gi),this._element.classList.add(_i),this._element.style[e]=0,this._addAriaAndCollapsedClass(this._triggerArray,!0),this._isTransitioning=!0;const i=`scroll${e[0].toUpperCase()+e.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(_i),this._element.classList.add(gi,mi),this._element.style[e]="",fe.trigger(this._element,di)}),this._element,!0),this._element.style[e]=`${this._element[i]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(fe.trigger(this._element,ui).defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,qt(this._element),this._element.classList.add(_i),this._element.classList.remove(gi,mi);for(const t of this._triggerArray){const e=we.getElementFromSelector(t);e&&!this._isShown(e)&&this._addAriaAndCollapsedClass([t],!1)}this._isTransitioning=!0,this._element.style[t]="",this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(_i),this._element.classList.add(gi),fe.trigger(this._element,fi)}),this._element,!0)}_isShown(t=this._element){return t.classList.contains(mi)}_configAfterMerge(t){return t.toggle=Boolean(t.toggle),t.parent=Ht(t.parent),t}_getDimension(){return this._element.classList.contains("collapse-horizontal")?"width":"height"}_initializeChildren(){if(!this._config.parent)return;const t=this._getFirstLevelChildren(vi);for(const e of t){const t=we.getElementFromSelector(e);t&&this._addAriaAndCollapsedClass([e],this._isShown(t))}}_getFirstLevelChildren(t){const e=we.find(bi,this._config.parent);return we.find(t,this._config.parent).filter((t=>!e.includes(t)))}_addAriaAndCollapsedClass(t,e){if(t.length)for(const i of t)i.classList.toggle("collapsed",!e),i.setAttribute("aria-expanded",e)}static jQueryInterface(t){const e={};return"string"==typeof t&&/show|hide/.test(t)&&(e.toggle=!1),this.each((function(){const i=Ei.getOrCreateInstance(this,e);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t]()}}))}}fe.on(document,pi,vi,(function(t){("A"===t.target.tagName||t.delegateTarget&&"A"===t.delegateTarget.tagName)&&t.preventDefault();for(const t of we.getMultipleElementsFromSelector(this))Ei.getOrCreateInstance(t,{toggle:!1}).toggle()})),Qt(Ei);const Ai="dropdown",Ti=".bs.dropdown",Ci=".data-api",Oi="ArrowUp",xi="ArrowDown",ki=`hide${Ti}`,Li=`hidden${Ti}`,Si=`show${Ti}`,Di=`shown${Ti}`,$i=`click${Ti}${Ci}`,Ii=`keydown${Ti}${Ci}`,Ni=`keyup${Ti}${Ci}`,Pi="show",Mi='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',ji=`${Mi}.${Pi}`,Fi=".dropdown-menu",Hi=Kt()?"top-end":"top-start",Bi=Kt()?"top-start":"top-end",Wi=Kt()?"bottom-end":"bottom-start",zi=Kt()?"bottom-start":"bottom-end",Ri=Kt()?"left-start":"right-start",qi=Kt()?"right-start":"left-start",Vi={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},Yi={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class Ki extends ve{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=we.next(this._element,Fi)[0]||we.prev(this._element,Fi)[0]||we.findOne(Fi,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return Vi}static get DefaultType(){return Yi}static get NAME(){return Ai}toggle(){return this._isShown()?this.hide():this.show()}show(){if(Wt(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!fe.trigger(this._element,Si,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))fe.on(t,"mouseover",Rt);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Pi),this._element.classList.add(Pi),fe.trigger(this._element,Di,t)}}hide(){if(Wt(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!fe.trigger(this._element,ki,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.off(t,"mouseover",Rt);this._popper&&this._popper.destroy(),this._menu.classList.remove(Pi),this._element.classList.remove(Pi),this._element.setAttribute("aria-expanded","false"),_e.removeDataAttribute(this._menu,"popper"),fe.trigger(this._element,Li,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!Ft(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${Ai.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===e)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:Ft(this._config.reference)?t=Ht(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const i=this._getPopperConfig();this._popper=Dt(t,this._menu,i)}_isShown(){return this._menu.classList.contains(Pi)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Ri;if(t.classList.contains("dropstart"))return qi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?Bi:Hi:e?zi:Wi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(_e.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...Xt(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=we.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>Bt(t)));i.length&&Gt(i,e,t===xi,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=Ki.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=we.find(ji);for(const i of e){const e=Ki.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Oi,xi].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Mi)?this:we.prev(this,Mi)[0]||we.next(this,Mi)[0]||we.findOne(Mi,t.delegateTarget.parentNode),o=Ki.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}fe.on(document,Ii,Mi,Ki.dataApiKeydownHandler),fe.on(document,Ii,Fi,Ki.dataApiKeydownHandler),fe.on(document,$i,Ki.clearMenus),fe.on(document,Ni,Ki.clearMenus),fe.on(document,$i,Mi,(function(t){t.preventDefault(),Ki.getOrCreateInstance(this).toggle()})),Qt(Ki);const Qi="backdrop",Xi="show",Ui=`mousedown.bs.${Qi}`,Gi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Ji={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Zi extends be{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Gi}static get DefaultType(){return Ji}static get NAME(){return Qi}show(t){if(!this._config.isVisible)return void Xt(t);this._append();const e=this._getElement();this._config.isAnimated&&qt(e),e.classList.add(Xi),this._emulateAnimation((()=>{Xt(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Xi),this._emulateAnimation((()=>{this.dispose(),Xt(t)}))):Xt(t)}dispose(){this._isAppended&&(fe.off(this._element,Ui),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=Ht(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),fe.on(t,Ui,(()=>{Xt(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){Ut(t,this._getElement(),this._config.isAnimated)}}const tn=".bs.focustrap",en=`focusin${tn}`,nn=`keydown.tab${tn}`,sn="backward",on={autofocus:!0,trapElement:null},rn={autofocus:"boolean",trapElement:"element"};class an extends be{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return on}static get DefaultType(){return rn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),fe.off(document,tn),fe.on(document,en,(t=>this._handleFocusin(t))),fe.on(document,nn,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,fe.off(document,tn))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=we.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===sn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?sn:"forward")}}const ln=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",cn=".sticky-top",hn="padding-right",dn="margin-right";class un{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,hn,(e=>e+t)),this._setElementAttributes(ln,hn,(e=>e+t)),this._setElementAttributes(cn,dn,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,hn),this._resetElementAttributes(ln,hn),this._resetElementAttributes(cn,dn)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&_e.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=_e.getDataAttribute(t,e);null!==i?(_e.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(Ft(t))e(t);else for(const i of we.find(t,this._element))e(i)}}const fn=".bs.modal",pn=`hide${fn}`,mn=`hidePrevented${fn}`,gn=`hidden${fn}`,_n=`show${fn}`,bn=`shown${fn}`,vn=`resize${fn}`,yn=`click.dismiss${fn}`,wn=`mousedown.dismiss${fn}`,En=`keydown.dismiss${fn}`,An=`click${fn}.data-api`,Tn="modal-open",Cn="show",On="modal-static",xn={backdrop:!0,focus:!0,keyboard:!0},kn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class Ln extends ve{constructor(t,e){super(t,e),this._dialog=we.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new un,this._addEventListeners()}static get Default(){return xn}static get DefaultType(){return kn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||fe.trigger(this._element,_n,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(Tn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(fe.trigger(this._element,pn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(Cn),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){fe.off(window,fn),fe.off(this._dialog,fn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Zi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new an({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=we.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),qt(this._element),this._element.classList.add(Cn),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,fe.trigger(this._element,bn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){fe.on(this._element,En,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),fe.on(window,vn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),fe.on(this._element,wn,(t=>{fe.one(this._element,yn,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(Tn),this._resetAdjustments(),this._scrollBar.reset(),fe.trigger(this._element,gn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(fe.trigger(this._element,mn).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(On)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(On),this._queueCallback((()=>{this._element.classList.remove(On),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=Kt()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=Kt()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=Ln.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}fe.on(document,An,'[data-bs-toggle="modal"]',(function(t){const e=we.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),fe.one(e,_n,(t=>{t.defaultPrevented||fe.one(e,gn,(()=>{Bt(this)&&this.focus()}))}));const i=we.findOne(".modal.show");i&&Ln.getInstance(i).hide(),Ln.getOrCreateInstance(e).toggle(this)})),Ee(Ln),Qt(Ln);const Sn=".bs.offcanvas",Dn=".data-api",$n=`load${Sn}${Dn}`,In="show",Nn="showing",Pn="hiding",Mn=".offcanvas.show",jn=`show${Sn}`,Fn=`shown${Sn}`,Hn=`hide${Sn}`,Bn=`hidePrevented${Sn}`,Wn=`hidden${Sn}`,zn=`resize${Sn}`,Rn=`click${Sn}${Dn}`,qn=`keydown.dismiss${Sn}`,Vn={backdrop:!0,keyboard:!0,scroll:!1},Yn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class Kn extends ve{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return Vn}static get DefaultType(){return Yn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||fe.trigger(this._element,jn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new un).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Nn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(In),this._element.classList.remove(Nn),fe.trigger(this._element,Fn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(fe.trigger(this._element,Hn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add(Pn),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(In,Pn),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new un).reset(),fe.trigger(this._element,Wn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Zi({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():fe.trigger(this._element,Bn)}:null})}_initializeFocusTrap(){return new an({trapElement:this._element})}_addEventListeners(){fe.on(this._element,qn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():fe.trigger(this._element,Bn))}))}static jQueryInterface(t){return this.each((function(){const e=Kn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}fe.on(document,Rn,'[data-bs-toggle="offcanvas"]',(function(t){const e=we.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),Wt(this))return;fe.one(e,Wn,(()=>{Bt(this)&&this.focus()}));const i=we.findOne(Mn);i&&i!==e&&Kn.getInstance(i).hide(),Kn.getOrCreateInstance(e).toggle(this)})),fe.on(window,$n,(()=>{for(const t of we.find(Mn))Kn.getOrCreateInstance(t).show()})),fe.on(window,zn,(()=>{for(const t of we.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&Kn.getOrCreateInstance(t).hide()})),Ee(Kn),Qt(Kn);const Qn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],dd:[],div:[],dl:[],dt:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Xn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Un=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Gn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Xn.has(i)||Boolean(Un.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Jn={allowList:Qn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"

"},Zn={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},ts={entry:"(string|element|function|null)",selector:"(string|element)"};class es extends be{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Jn}static get DefaultType(){return Zn}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},ts)}_setContent(t,e,i){const n=we.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?Ft(e)?this._putElementInTemplate(Ht(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Gn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return Xt(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const is=new Set(["sanitize","allowList","sanitizeFn"]),ns="fade",ss="show",os=".tooltip-inner",rs=".modal",as="hide.bs.modal",ls="hover",cs="focus",hs={AUTO:"auto",TOP:"top",RIGHT:Kt()?"left":"right",BOTTOM:"bottom",LEFT:Kt()?"right":"left"},ds={allowList:Qn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'',title:"",trigger:"hover focus"},us={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class fs extends ve{constructor(t,i){if(void 0===e)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,i),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return ds}static get DefaultType(){return us}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),fe.off(this._element.closest(rs),as,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=fe.trigger(this._element,this.constructor.eventName("show")),e=(zt(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),fe.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(ss),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.on(t,"mouseover",Rt);this._queueCallback((()=>{fe.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!fe.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(ss),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.off(t,"mouseover",Rt);this._activeTrigger.click=!1,this._activeTrigger[cs]=!1,this._activeTrigger[ls]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),fe.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(ns,ss),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(ns),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new es({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{[os]:this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(ns)}_isShown(){return this.tip&&this.tip.classList.contains(ss)}_createPopper(t){const e=Xt(this._config.placement,[this,t,this._element]),i=hs[e.toUpperCase()];return Dt(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return Xt(t,[this._element])}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,...Xt(this._config.popperConfig,[e])}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)fe.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===ls?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===ls?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");fe.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?cs:ls]=!0,e._enter()})),fe.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?cs:ls]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},fe.on(this._element.closest(rs),as,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=_e.getDataAttributes(this._element);for(const t of Object.keys(e))is.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:Ht(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const[e,i]of Object.entries(this._config))this.constructor.Default[e]!==i&&(t[e]=i);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=fs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(fs);const ps=".popover-header",ms=".popover-body",gs={...fs.Default,content:"",offset:[0,8],placement:"right",template:'',trigger:"click"},_s={...fs.DefaultType,content:"(null|string|element|function)"};class bs extends fs{static get Default(){return gs}static get DefaultType(){return _s}static get NAME(){return"popover"}_isWithContent(){return this._getTitle()||this._getContent()}_getContentForTemplate(){return{[ps]:this._getTitle(),[ms]:this._getContent()}}_getContent(){return this._resolvePossibleFunction(this._config.content)}static jQueryInterface(t){return this.each((function(){const e=bs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(bs);const vs=".bs.scrollspy",ys=`activate${vs}`,ws=`click${vs}`,Es=`load${vs}.data-api`,As="active",Ts="[href]",Cs=".nav-link",Os=`${Cs}, .nav-item > ${Cs}, .list-group-item`,xs={offset:null,rootMargin:"0px 0px -25%",smoothScroll:!1,target:null,threshold:[.1,.5,1]},ks={offset:"(number|null)",rootMargin:"string",smoothScroll:"boolean",target:"element",threshold:"array"};class Ls extends ve{constructor(t,e){super(t,e),this._targetLinks=new Map,this._observableSections=new Map,this._rootElement="visible"===getComputedStyle(this._element).overflowY?null:this._element,this._activeTarget=null,this._observer=null,this._previousScrollData={visibleEntryTop:0,parentScrollTop:0},this.refresh()}static get Default(){return xs}static get DefaultType(){return ks}static get NAME(){return"scrollspy"}refresh(){this._initializeTargetsAndObservables(),this._maybeEnableSmoothScroll(),this._observer?this._observer.disconnect():this._observer=this._getNewObserver();for(const t of this._observableSections.values())this._observer.observe(t)}dispose(){this._observer.disconnect(),super.dispose()}_configAfterMerge(t){return t.target=Ht(t.target)||document.body,t.rootMargin=t.offset?`${t.offset}px 0px -30%`:t.rootMargin,"string"==typeof t.threshold&&(t.threshold=t.threshold.split(",").map((t=>Number.parseFloat(t)))),t}_maybeEnableSmoothScroll(){this._config.smoothScroll&&(fe.off(this._config.target,ws),fe.on(this._config.target,ws,Ts,(t=>{const e=this._observableSections.get(t.target.hash);if(e){t.preventDefault();const i=this._rootElement||window,n=e.offsetTop-this._element.offsetTop;if(i.scrollTo)return void i.scrollTo({top:n,behavior:"smooth"});i.scrollTop=n}})))}_getNewObserver(){const t={root:this._rootElement,threshold:this._config.threshold,rootMargin:this._config.rootMargin};return new IntersectionObserver((t=>this._observerCallback(t)),t)}_observerCallback(t){const e=t=>this._targetLinks.get(`#${t.target.id}`),i=t=>{this._previousScrollData.visibleEntryTop=t.target.offsetTop,this._process(e(t))},n=(this._rootElement||document.documentElement).scrollTop,s=n>=this._previousScrollData.parentScrollTop;this._previousScrollData.parentScrollTop=n;for(const o of t){if(!o.isIntersecting){this._activeTarget=null,this._clearActiveClass(e(o));continue}const t=o.target.offsetTop>=this._previousScrollData.visibleEntryTop;if(s&&t){if(i(o),!n)return}else s||t||i(o)}}_initializeTargetsAndObservables(){this._targetLinks=new Map,this._observableSections=new Map;const t=we.find(Ts,this._config.target);for(const e of t){if(!e.hash||Wt(e))continue;const t=we.findOne(decodeURI(e.hash),this._element);Bt(t)&&(this._targetLinks.set(decodeURI(e.hash),e),this._observableSections.set(e.hash,t))}}_process(t){this._activeTarget!==t&&(this._clearActiveClass(this._config.target),this._activeTarget=t,t.classList.add(As),this._activateParents(t),fe.trigger(this._element,ys,{relatedTarget:t}))}_activateParents(t){if(t.classList.contains("dropdown-item"))we.findOne(".dropdown-toggle",t.closest(".dropdown")).classList.add(As);else for(const e of we.parents(t,".nav, .list-group"))for(const t of we.prev(e,Os))t.classList.add(As)}_clearActiveClass(t){t.classList.remove(As);const e=we.find(`${Ts}.${As}`,t);for(const t of e)t.classList.remove(As)}static jQueryInterface(t){return this.each((function(){const e=Ls.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}fe.on(window,Es,(()=>{for(const t of we.find('[data-bs-spy="scroll"]'))Ls.getOrCreateInstance(t)})),Qt(Ls);const Ss=".bs.tab",Ds=`hide${Ss}`,$s=`hidden${Ss}`,Is=`show${Ss}`,Ns=`shown${Ss}`,Ps=`click${Ss}`,Ms=`keydown${Ss}`,js=`load${Ss}`,Fs="ArrowLeft",Hs="ArrowRight",Bs="ArrowUp",Ws="ArrowDown",zs="Home",Rs="End",qs="active",Vs="fade",Ys="show",Ks=".dropdown-toggle",Qs=`:not(${Ks})`,Xs='[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',Us=`.nav-link${Qs}, .list-group-item${Qs}, [role="tab"]${Qs}, ${Xs}`,Gs=`.${qs}[data-bs-toggle="tab"], .${qs}[data-bs-toggle="pill"], .${qs}[data-bs-toggle="list"]`;class Js extends ve{constructor(t){super(t),this._parent=this._element.closest('.list-group, .nav, [role="tablist"]'),this._parent&&(this._setInitialAttributes(this._parent,this._getChildren()),fe.on(this._element,Ms,(t=>this._keydown(t))))}static get NAME(){return"tab"}show(){const t=this._element;if(this._elemIsActive(t))return;const e=this._getActiveElem(),i=e?fe.trigger(e,Ds,{relatedTarget:t}):null;fe.trigger(t,Is,{relatedTarget:e}).defaultPrevented||i&&i.defaultPrevented||(this._deactivate(e,t),this._activate(t,e))}_activate(t,e){t&&(t.classList.add(qs),this._activate(we.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.removeAttribute("tabindex"),t.setAttribute("aria-selected",!0),this._toggleDropDown(t,!0),fe.trigger(t,Ns,{relatedTarget:e})):t.classList.add(Ys)}),t,t.classList.contains(Vs)))}_deactivate(t,e){t&&(t.classList.remove(qs),t.blur(),this._deactivate(we.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.setAttribute("aria-selected",!1),t.setAttribute("tabindex","-1"),this._toggleDropDown(t,!1),fe.trigger(t,$s,{relatedTarget:e})):t.classList.remove(Ys)}),t,t.classList.contains(Vs)))}_keydown(t){if(![Fs,Hs,Bs,Ws,zs,Rs].includes(t.key))return;t.stopPropagation(),t.preventDefault();const e=this._getChildren().filter((t=>!Wt(t)));let i;if([zs,Rs].includes(t.key))i=e[t.key===zs?0:e.length-1];else{const n=[Hs,Ws].includes(t.key);i=Gt(e,t.target,n,!0)}i&&(i.focus({preventScroll:!0}),Js.getOrCreateInstance(i).show())}_getChildren(){return we.find(Us,this._parent)}_getActiveElem(){return this._getChildren().find((t=>this._elemIsActive(t)))||null}_setInitialAttributes(t,e){this._setAttributeIfNotExists(t,"role","tablist");for(const t of e)this._setInitialAttributesOnChild(t)}_setInitialAttributesOnChild(t){t=this._getInnerElement(t);const e=this._elemIsActive(t),i=this._getOuterElement(t);t.setAttribute("aria-selected",e),i!==t&&this._setAttributeIfNotExists(i,"role","presentation"),e||t.setAttribute("tabindex","-1"),this._setAttributeIfNotExists(t,"role","tab"),this._setInitialAttributesOnTargetPanel(t)}_setInitialAttributesOnTargetPanel(t){const e=we.getElementFromSelector(t);e&&(this._setAttributeIfNotExists(e,"role","tabpanel"),t.id&&this._setAttributeIfNotExists(e,"aria-labelledby",`${t.id}`))}_toggleDropDown(t,e){const i=this._getOuterElement(t);if(!i.classList.contains("dropdown"))return;const n=(t,n)=>{const s=we.findOne(t,i);s&&s.classList.toggle(n,e)};n(Ks,qs),n(".dropdown-menu",Ys),i.setAttribute("aria-expanded",e)}_setAttributeIfNotExists(t,e,i){t.hasAttribute(e)||t.setAttribute(e,i)}_elemIsActive(t){return t.classList.contains(qs)}_getInnerElement(t){return t.matches(Us)?t:we.findOne(Us,t)}_getOuterElement(t){return t.closest(".nav-item, .list-group-item")||t}static jQueryInterface(t){return this.each((function(){const e=Js.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}fe.on(document,Ps,Xs,(function(t){["A","AREA"].includes(this.tagName)&&t.preventDefault(),Wt(this)||Js.getOrCreateInstance(this).show()})),fe.on(window,js,(()=>{for(const t of we.find(Gs))Js.getOrCreateInstance(t)})),Qt(Js);const Zs=".bs.toast",to=`mouseover${Zs}`,eo=`mouseout${Zs}`,io=`focusin${Zs}`,no=`focusout${Zs}`,so=`hide${Zs}`,oo=`hidden${Zs}`,ro=`show${Zs}`,ao=`shown${Zs}`,lo="hide",co="show",ho="showing",uo={animation:"boolean",autohide:"boolean",delay:"number"},fo={animation:!0,autohide:!0,delay:5e3};class po extends ve{constructor(t,e){super(t,e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get Default(){return fo}static get DefaultType(){return uo}static get NAME(){return"toast"}show(){fe.trigger(this._element,ro).defaultPrevented||(this._clearTimeout(),this._config.animation&&this._element.classList.add("fade"),this._element.classList.remove(lo),qt(this._element),this._element.classList.add(co,ho),this._queueCallback((()=>{this._element.classList.remove(ho),fe.trigger(this._element,ao),this._maybeScheduleHide()}),this._element,this._config.animation))}hide(){this.isShown()&&(fe.trigger(this._element,so).defaultPrevented||(this._element.classList.add(ho),this._queueCallback((()=>{this._element.classList.add(lo),this._element.classList.remove(ho,co),fe.trigger(this._element,oo)}),this._element,this._config.animation)))}dispose(){this._clearTimeout(),this.isShown()&&this._element.classList.remove(co),super.dispose()}isShown(){return 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100644 index 28755c2..0000000 --- a/_build/html/_static/scripts/bootstrap.js.LICENSE.txt +++ /dev/null @@ -1,5 +0,0 @@ -/*! - * Bootstrap v5.3.3 (https://getbootstrap.com/) - * Copyright 2011-2024 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors) - * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE) - */ diff --git a/_build/html/_static/scripts/bootstrap.js.map b/_build/html/_static/scripts/bootstrap.js.map deleted file mode 100644 index e9e8158..0000000 --- a/_build/html/_static/scripts/bootstrap.js.map +++ /dev/null @@ -1 +0,0 @@ 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(element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n if (node == null) {\n return window;\n }\n\n if (node.toString() !== '[object Window]') {\n var ownerDocument = node.ownerDocument;\n return ownerDocument ? ownerDocument.defaultView || window : window;\n }\n\n return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n var OwnElement = getWindow(node).Element;\n return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n var OwnElement = getWindow(node).HTMLElement;\n return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n // IE 11 has no ShadowRoot\n if (typeof ShadowRoot === 'undefined') {\n return false;\n }\n\n var OwnElement = getWindow(node).ShadowRoot;\n return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n var state = _ref.state;\n Object.keys(state.elements).forEach(function (name) {\n var style = state.styles[name] || {};\n var attributes = state.attributes[name] || {};\n var element = state.elements[name]; // arrow is optional + virtual elements\n\n if (!isHTMLElement(element) || !getNodeName(element)) {\n return;\n } // Flow doesn't support to extend this property, but it's the most\n // effective way to apply styles to an HTMLElement\n // $FlowFixMe[cannot-write]\n\n\n Object.assign(element.style, style);\n Object.keys(attributes).forEach(function (name) {\n var value = attributes[name];\n\n if (value === false) {\n element.removeAttribute(name);\n } else {\n element.setAttribute(name, value === true ? '' : value);\n }\n });\n });\n}\n\nfunction effect(_ref2) {\n var state = _ref2.state;\n var initialStyles = {\n popper: {\n position: state.options.strategy,\n left: '0',\n top: '0',\n margin: '0'\n },\n arrow: {\n position: 'absolute'\n },\n reference: {}\n };\n Object.assign(state.elements.popper.style, initialStyles.popper);\n state.styles = initialStyles;\n\n if (state.elements.arrow) {\n Object.assign(state.elements.arrow.style, initialStyles.arrow);\n }\n\n return function () {\n Object.keys(state.elements).forEach(function (name) {\n var element = state.elements[name];\n var attributes = state.attributes[name] || {};\n var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n var style = styleProperties.reduce(function (style, property) {\n style[property] = '';\n return style;\n }, {}); // arrow is optional + virtual elements\n\n if (!isHTMLElement(element) || !getNodeName(element)) {\n return;\n }\n\n Object.assign(element.style, style);\n Object.keys(attributes).forEach(function (attribute) {\n element.removeAttribute(attribute);\n });\n });\n };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'applyStyles',\n enabled: true,\n phase: 'write',\n fn: applyStyles,\n effect: effect,\n requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n var uaData = navigator.userAgentData;\n\n if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n return uaData.brands.map(function (item) {\n return item.brand + \"/\" + item.version;\n }).join(' ');\n }\n\n return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n if (includeScale === void 0) {\n includeScale = false;\n }\n\n if (isFixedStrategy === void 0) {\n isFixedStrategy = false;\n }\n\n var clientRect = element.getBoundingClientRect();\n var scaleX = 1;\n var scaleY = 1;\n\n if (includeScale && isHTMLElement(element)) {\n scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n }\n\n var _ref = isElement(element) ? getWindow(element) : window,\n visualViewport = _ref.visualViewport;\n\n var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n var width = clientRect.width / scaleX;\n var height = clientRect.height / scaleY;\n return {\n width: width,\n height: height,\n top: y,\n right: x + width,\n bottom: y + height,\n left: x,\n x: x,\n y: y\n };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n var width = element.offsetWidth;\n var height = element.offsetHeight;\n\n if (Math.abs(clientRect.width - width) <= 1) {\n width = clientRect.width;\n }\n\n if (Math.abs(clientRect.height - height) <= 1) {\n height = clientRect.height;\n }\n\n return {\n x: element.offsetLeft,\n y: element.offsetTop,\n width: width,\n height: height\n };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n if (parent.contains(child)) {\n return true;\n } // then fallback to custom implementation with Shadow DOM support\n else if (rootNode && isShadowRoot(rootNode)) {\n var next = child;\n\n do {\n if (next && parent.isSameNode(next)) {\n return true;\n } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n next = next.parentNode || next.host;\n } while (next);\n } // Give up, the result is false\n\n\n return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n // $FlowFixMe[incompatible-return]: assume body is always available\n return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n if (getNodeName(element) === 'html') {\n return element;\n }\n\n return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n // $FlowFixMe[incompatible-return]\n // $FlowFixMe[prop-missing]\n element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n element.parentNode || ( // DOM Element detected\n isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n getDocumentElement(element) // fallback\n\n );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n getComputedStyle(element).position === 'fixed') {\n return null;\n }\n\n return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n var isFirefox = /firefox/i.test(getUAString());\n var isIE = /Trident/i.test(getUAString());\n\n if (isIE && isHTMLElement(element)) {\n // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n var elementCss = getComputedStyle(element);\n\n if (elementCss.position === 'fixed') {\n return null;\n }\n }\n\n var currentNode = getParentNode(element);\n\n if (isShadowRoot(currentNode)) {\n currentNode = currentNode.host;\n }\n\n while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n // create a containing block.\n // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n return currentNode;\n } else {\n currentNode = currentNode.parentNode;\n }\n }\n\n return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n var window = getWindow(element);\n var offsetParent = getTrueOffsetParent(element);\n\n while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n offsetParent = getTrueOffsetParent(offsetParent);\n }\n\n if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n return window;\n }\n\n return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n var v = within(min, value, max);\n return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n return {\n top: 0,\n right: 0,\n bottom: 0,\n left: 0\n };\n}","export default function expandToHashMap(value, keys) {\n return keys.reduce(function (hashMap, key) {\n hashMap[key] = value;\n return hashMap;\n }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n placement: state.placement\n })) : padding;\n return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n var _state$modifiersData$;\n\n var state = _ref.state,\n name = _ref.name,\n options = _ref.options;\n var arrowElement = state.elements.arrow;\n var popperOffsets = state.modifiersData.popperOffsets;\n var basePlacement = getBasePlacement(state.placement);\n var axis = getMainAxisFromPlacement(basePlacement);\n var isVertical = [left, right].indexOf(basePlacement) >= 0;\n var len = isVertical ? 'height' : 'width';\n\n if (!arrowElement || !popperOffsets) {\n return;\n }\n\n var paddingObject = toPaddingObject(options.padding, state);\n var arrowRect = getLayoutRect(arrowElement);\n var minProp = axis === 'y' ? top : left;\n var maxProp = axis === 'y' ? bottom : right;\n var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n var arrowOffsetParent = getOffsetParent(arrowElement);\n var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n // outside of the popper bounds\n\n var min = paddingObject[minProp];\n var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n var axisProp = axis;\n state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n var state = _ref2.state,\n options = _ref2.options;\n var _options$element = options.element,\n arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n if (arrowElement == null) {\n return;\n } // CSS selector\n\n\n if (typeof arrowElement === 'string') {\n arrowElement = state.elements.popper.querySelector(arrowElement);\n\n if (!arrowElement) {\n return;\n }\n }\n\n if (!contains(state.elements.popper, arrowElement)) {\n return;\n }\n\n state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'arrow',\n enabled: true,\n phase: 'main',\n fn: arrow,\n effect: effect,\n requires: ['popperOffsets'],\n requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n top: 'auto',\n right: 'auto',\n bottom: 'auto',\n left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n var x = _ref.x,\n y = _ref.y;\n var dpr = win.devicePixelRatio || 1;\n return {\n x: round(x * dpr) / dpr || 0,\n y: round(y * dpr) / dpr || 0\n };\n}\n\nexport function mapToStyles(_ref2) {\n var _Object$assign2;\n\n var popper = _ref2.popper,\n popperRect = _ref2.popperRect,\n placement = _ref2.placement,\n variation = _ref2.variation,\n offsets = _ref2.offsets,\n position = _ref2.position,\n gpuAcceleration = _ref2.gpuAcceleration,\n adaptive = _ref2.adaptive,\n roundOffsets = _ref2.roundOffsets,\n isFixed = _ref2.isFixed;\n var _offsets$x = offsets.x,\n x = _offsets$x === void 0 ? 0 : _offsets$x,\n _offsets$y = offsets.y,\n y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n x: x,\n y: y\n }) : {\n x: x,\n y: y\n };\n\n x = _ref3.x;\n y = _ref3.y;\n var hasX = offsets.hasOwnProperty('x');\n var hasY = offsets.hasOwnProperty('y');\n var sideX = left;\n var sideY = top;\n var win = window;\n\n if (adaptive) {\n var offsetParent = getOffsetParent(popper);\n var heightProp = 'clientHeight';\n var widthProp = 'clientWidth';\n\n if (offsetParent === getWindow(popper)) {\n offsetParent = getDocumentElement(popper);\n\n if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n heightProp = 'scrollHeight';\n widthProp = 'scrollWidth';\n }\n } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n offsetParent = offsetParent;\n\n if (placement === top || (placement === left || placement === right) && variation === end) {\n sideY = bottom;\n var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n offsetParent[heightProp];\n y -= offsetY - popperRect.height;\n y *= gpuAcceleration ? 1 : -1;\n }\n\n if (placement === left || (placement === top || placement === bottom) && variation === end) {\n sideX = right;\n var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n offsetParent[widthProp];\n x -= offsetX - popperRect.width;\n x *= gpuAcceleration ? 1 : -1;\n }\n }\n\n var commonStyles = Object.assign({\n position: position\n }, adaptive && unsetSides);\n\n var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n x: x,\n y: y\n }, getWindow(popper)) : {\n x: x,\n y: y\n };\n\n x = _ref4.x;\n y = _ref4.y;\n\n if (gpuAcceleration) {\n var _Object$assign;\n\n return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n }\n\n return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n var state = _ref5.state,\n options = _ref5.options;\n var _options$gpuAccelerat = options.gpuAcceleration,\n gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n _options$adaptive = options.adaptive,\n adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n _options$roundOffsets = options.roundOffsets,\n roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n var commonStyles = {\n placement: getBasePlacement(state.placement),\n variation: getVariation(state.placement),\n popper: state.elements.popper,\n popperRect: state.rects.popper,\n gpuAcceleration: gpuAcceleration,\n isFixed: state.options.strategy === 'fixed'\n };\n\n if (state.modifiersData.popperOffsets != null) {\n state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n offsets: state.modifiersData.popperOffsets,\n position: state.options.strategy,\n adaptive: adaptive,\n roundOffsets: roundOffsets\n })));\n }\n\n if (state.modifiersData.arrow != null) {\n state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n offsets: state.modifiersData.arrow,\n position: 'absolute',\n adaptive: false,\n roundOffsets: roundOffsets\n })));\n }\n\n state.attributes.popper = Object.assign({}, state.attributes.popper, {\n 'data-popper-placement': state.placement\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'computeStyles',\n enabled: true,\n phase: 'beforeWrite',\n fn: computeStyles,\n data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n passive: true\n};\n\nfunction effect(_ref) {\n var state = _ref.state,\n instance = _ref.instance,\n options = _ref.options;\n var _options$scroll = options.scroll,\n scroll = _options$scroll === void 0 ? true : _options$scroll,\n _options$resize = options.resize,\n resize = _options$resize === void 0 ? true : _options$resize;\n var window = getWindow(state.elements.popper);\n var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n if (scroll) {\n scrollParents.forEach(function (scrollParent) {\n scrollParent.addEventListener('scroll', instance.update, passive);\n });\n }\n\n if (resize) {\n window.addEventListener('resize', instance.update, passive);\n }\n\n return function () {\n if (scroll) {\n scrollParents.forEach(function (scrollParent) {\n scrollParent.removeEventListener('scroll', instance.update, passive);\n });\n }\n\n if (resize) {\n window.removeEventListener('resize', instance.update, passive);\n }\n };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'eventListeners',\n enabled: true,\n phase: 'write',\n fn: function fn() {},\n effect: effect,\n data: {}\n};","var hash = {\n left: 'right',\n right: 'left',\n bottom: 'top',\n top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n return placement.replace(/left|right|bottom|top/g, function (matched) {\n return hash[matched];\n });\n}","var hash = {\n start: 'end',\n end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n return placement.replace(/start|end/g, function (matched) {\n return hash[matched];\n });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n var win = getWindow(node);\n var scrollLeft = win.pageXOffset;\n var scrollTop = win.pageYOffset;\n return {\n scrollLeft: scrollLeft,\n scrollTop: scrollTop\n };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n // If has a CSS width greater than the viewport, then this will be\n // incorrect for RTL.\n // Popper 1 is broken in this case and never had a bug report so let's assume\n // it's not an issue. I don't think anyone ever specifies width on \n // anyway.\n // Browsers where the left scrollbar doesn't cause an issue report `0` for\n // this (e.g. Edge 2019, IE11, Safari)\n return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n // Firefox wants us to check `-x` and `-y` variations as well\n var _getComputedStyle = getComputedStyle(element),\n overflow = _getComputedStyle.overflow,\n overflowX = _getComputedStyle.overflowX,\n overflowY = _getComputedStyle.overflowY;\n\n return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n // $FlowFixMe[incompatible-return]: assume body is always available\n return node.ownerDocument.body;\n }\n\n if (isHTMLElement(node) && isScrollParent(node)) {\n return node;\n }\n\n return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n var _element$ownerDocumen;\n\n if (list === void 0) {\n list = [];\n }\n\n var scrollParent = getScrollParent(element);\n var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n var win = getWindow(scrollParent);\n var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n var updatedList = list.concat(target);\n return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n return Object.assign({}, rect, {\n left: rect.x,\n top: rect.y,\n right: rect.x + rect.width,\n bottom: rect.y + rect.height\n });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n rect.top = rect.top + element.clientTop;\n rect.left = rect.left + element.clientLeft;\n rect.bottom = rect.top + element.clientHeight;\n rect.right = rect.left + element.clientWidth;\n rect.width = element.clientWidth;\n rect.height = element.clientHeight;\n rect.x = rect.left;\n rect.y = rect.top;\n return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n var clippingParents = listScrollParents(getParentNode(element));\n var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n if (!isElement(clipperElement)) {\n return [];\n } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n return clippingParents.filter(function (clippingParent) {\n return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n var firstClippingParent = clippingParents[0];\n var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n accRect.top = max(rect.top, accRect.top);\n accRect.right = min(rect.right, accRect.right);\n accRect.bottom = min(rect.bottom, accRect.bottom);\n accRect.left = max(rect.left, accRect.left);\n return accRect;\n }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n clippingRect.width = clippingRect.right - clippingRect.left;\n clippingRect.height = clippingRect.bottom - clippingRect.top;\n clippingRect.x = clippingRect.left;\n clippingRect.y = clippingRect.top;\n return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n var win = getWindow(element);\n var html = getDocumentElement(element);\n var visualViewport = win.visualViewport;\n var width = html.clientWidth;\n var height = html.clientHeight;\n var x = 0;\n var y = 0;\n\n if (visualViewport) {\n width = visualViewport.width;\n height = visualViewport.height;\n var layoutViewport = isLayoutViewport();\n\n if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n x = visualViewport.offsetLeft;\n y = visualViewport.offsetTop;\n }\n }\n\n return {\n width: width,\n height: height,\n x: x + getWindowScrollBarX(element),\n y: y\n };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `` and `` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n var _element$ownerDocumen;\n\n var html = getDocumentElement(element);\n var winScroll = getWindowScroll(element);\n var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n var y = -winScroll.scrollTop;\n\n if (getComputedStyle(body || html).direction === 'rtl') {\n x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n }\n\n return {\n width: width,\n height: height,\n x: x,\n y: y\n };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n var reference = _ref.reference,\n element = _ref.element,\n placement = _ref.placement;\n var basePlacement = placement ? getBasePlacement(placement) : null;\n var variation = placement ? getVariation(placement) : null;\n var commonX = reference.x + reference.width / 2 - element.width / 2;\n var commonY = reference.y + reference.height / 2 - element.height / 2;\n var offsets;\n\n switch (basePlacement) {\n case top:\n offsets = {\n x: commonX,\n y: reference.y - element.height\n };\n break;\n\n case bottom:\n offsets = {\n x: commonX,\n y: reference.y + reference.height\n };\n break;\n\n case right:\n offsets = {\n x: reference.x + reference.width,\n y: commonY\n };\n break;\n\n case left:\n offsets = {\n x: reference.x - element.width,\n y: commonY\n };\n break;\n\n default:\n offsets = {\n x: reference.x,\n y: reference.y\n };\n }\n\n var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n if (mainAxis != null) {\n var len = mainAxis === 'y' ? 'height' : 'width';\n\n switch (variation) {\n case start:\n offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n break;\n\n case end:\n offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n break;\n\n default:\n }\n }\n\n return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n if (options === void 0) {\n options = {};\n }\n\n var _options = options,\n _options$placement = _options.placement,\n placement = _options$placement === void 0 ? state.placement : _options$placement,\n _options$strategy = _options.strategy,\n strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n _options$boundary = _options.boundary,\n boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n _options$rootBoundary = _options.rootBoundary,\n rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n _options$elementConte = _options.elementContext,\n elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n _options$altBoundary = _options.altBoundary,\n altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n _options$padding = _options.padding,\n padding = _options$padding === void 0 ? 0 : _options$padding;\n var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n var altContext = elementContext === popper ? reference : popper;\n var popperRect = state.rects.popper;\n var element = state.elements[altBoundary ? altContext : elementContext];\n var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n var referenceClientRect = getBoundingClientRect(state.elements.reference);\n var popperOffsets = computeOffsets({\n reference: referenceClientRect,\n element: popperRect,\n strategy: 'absolute',\n placement: placement\n });\n var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n // 0 or negative = within the clipping rect\n\n var overflowOffsets = {\n top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n };\n var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n if (elementContext === popper && offsetData) {\n var offset = offsetData[placement];\n Object.keys(overflowOffsets).forEach(function (key) {\n var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n overflowOffsets[key] += offset[axis] * multiply;\n });\n }\n\n return overflowOffsets;\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n if (getBasePlacement(placement) === auto) {\n return [];\n }\n\n var oppositePlacement = getOppositePlacement(placement);\n return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n var state = _ref.state,\n options = _ref.options,\n name = _ref.name;\n\n if (state.modifiersData[name]._skip) {\n return;\n }\n\n var _options$mainAxis = options.mainAxis,\n checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n _options$altAxis = options.altAxis,\n checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n specifiedFallbackPlacements = options.fallbackPlacements,\n padding = options.padding,\n boundary = options.boundary,\n rootBoundary = options.rootBoundary,\n altBoundary = options.altBoundary,\n _options$flipVariatio = options.flipVariations,\n flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n allowedAutoPlacements = options.allowedAutoPlacements;\n var preferredPlacement = state.options.placement;\n var basePlacement = getBasePlacement(preferredPlacement);\n var isBasePlacement = basePlacement === preferredPlacement;\n var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding,\n flipVariations: flipVariations,\n allowedAutoPlacements: allowedAutoPlacements\n }) : placement);\n }, []);\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var checksMap = new Map();\n var makeFallbackChecks = true;\n var firstFittingPlacement = placements[0];\n\n for (var i = 0; i < placements.length; i++) {\n var placement = placements[i];\n\n var _basePlacement = getBasePlacement(placement);\n\n var isStartVariation = getVariation(placement) === start;\n var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n var len = isVertical ? 'width' : 'height';\n var overflow = detectOverflow(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n altBoundary: altBoundary,\n padding: padding\n });\n var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n if (referenceRect[len] > popperRect[len]) {\n mainVariationSide = getOppositePlacement(mainVariationSide);\n }\n\n var altVariationSide = getOppositePlacement(mainVariationSide);\n var checks = [];\n\n if (checkMainAxis) {\n checks.push(overflow[_basePlacement] <= 0);\n }\n\n if (checkAltAxis) {\n checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n }\n\n if (checks.every(function (check) {\n return check;\n })) {\n firstFittingPlacement = placement;\n makeFallbackChecks = false;\n break;\n }\n\n checksMap.set(placement, checks);\n }\n\n if (makeFallbackChecks) {\n // `2` may be desired in some cases – research later\n var numberOfChecks = flipVariations ? 3 : 1;\n\n var _loop = function _loop(_i) {\n var fittingPlacement = placements.find(function (placement) {\n var checks = checksMap.get(placement);\n\n if (checks) {\n return checks.slice(0, _i).every(function (check) {\n return check;\n });\n }\n });\n\n if (fittingPlacement) {\n firstFittingPlacement = fittingPlacement;\n return \"break\";\n }\n };\n\n for (var _i = numberOfChecks; _i > 0; _i--) {\n var _ret = _loop(_i);\n\n if (_ret === \"break\") break;\n }\n }\n\n if (state.placement !== firstFittingPlacement) {\n state.modifiersData[name]._skip = true;\n state.placement = firstFittingPlacement;\n state.reset = true;\n }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'flip',\n enabled: true,\n phase: 'main',\n fn: flip,\n requiresIfExists: ['offset'],\n data: {\n _skip: false\n }\n};","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n if (options === void 0) {\n options = {};\n }\n\n var _options = options,\n placement = _options.placement,\n boundary = _options.boundary,\n rootBoundary = _options.rootBoundary,\n padding = _options.padding,\n flipVariations = _options.flipVariations,\n _options$allowedAutoP = _options.allowedAutoPlacements,\n allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n var variation = getVariation(placement);\n var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n return getVariation(placement) === variation;\n }) : basePlacements;\n var allowedPlacements = placements.filter(function (placement) {\n return allowedAutoPlacements.indexOf(placement) >= 0;\n });\n\n if (allowedPlacements.length === 0) {\n allowedPlacements = placements;\n } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n var overflows = allowedPlacements.reduce(function (acc, placement) {\n acc[placement] = detectOverflow(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding\n })[getBasePlacement(placement)];\n return acc;\n }, {});\n return Object.keys(overflows).sort(function (a, b) {\n return overflows[a] - overflows[b];\n });\n}","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n if (preventedOffsets === void 0) {\n preventedOffsets = {\n x: 0,\n y: 0\n };\n }\n\n return {\n top: overflow.top - rect.height - preventedOffsets.y,\n right: overflow.right - rect.width + preventedOffsets.x,\n bottom: overflow.bottom - rect.height + preventedOffsets.y,\n left: overflow.left - rect.width - preventedOffsets.x\n };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n return [top, right, bottom, left].some(function (side) {\n return overflow[side] >= 0;\n });\n}\n\nfunction hide(_ref) {\n var state = _ref.state,\n name = _ref.name;\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var preventedOffsets = state.modifiersData.preventOverflow;\n var referenceOverflow = detectOverflow(state, {\n elementContext: 'reference'\n });\n var popperAltOverflow = detectOverflow(state, {\n altBoundary: true\n });\n var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n state.modifiersData[name] = {\n referenceClippingOffsets: referenceClippingOffsets,\n popperEscapeOffsets: popperEscapeOffsets,\n isReferenceHidden: isReferenceHidden,\n hasPopperEscaped: hasPopperEscaped\n };\n state.attributes.popper = Object.assign({}, state.attributes.popper, {\n 'data-popper-reference-hidden': isReferenceHidden,\n 'data-popper-escaped': hasPopperEscaped\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'hide',\n enabled: true,\n phase: 'main',\n requiresIfExists: ['preventOverflow'],\n fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n var basePlacement = getBasePlacement(placement);\n var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n placement: placement\n })) : offset,\n skidding = _ref[0],\n distance = _ref[1];\n\n skidding = skidding || 0;\n distance = (distance || 0) * invertDistance;\n return [left, right].indexOf(basePlacement) >= 0 ? {\n x: distance,\n y: skidding\n } : {\n x: skidding,\n y: distance\n };\n}\n\nfunction offset(_ref2) {\n var state = _ref2.state,\n options = _ref2.options,\n name = _ref2.name;\n var _options$offset = options.offset,\n offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n var data = placements.reduce(function (acc, placement) {\n acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n return acc;\n }, {});\n var _data$state$placement = data[state.placement],\n x = _data$state$placement.x,\n y = _data$state$placement.y;\n\n if (state.modifiersData.popperOffsets != null) {\n state.modifiersData.popperOffsets.x += x;\n state.modifiersData.popperOffsets.y += y;\n }\n\n state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'offset',\n enabled: true,\n phase: 'main',\n requires: ['popperOffsets'],\n fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n var state = _ref.state,\n name = _ref.name;\n // Offsets are the actual position the popper needs to have to be\n // properly positioned near its reference element\n // This is the most basic placement, and will be adjusted by\n // the modifiers in the next step\n state.modifiersData[name] = computeOffsets({\n reference: state.rects.reference,\n element: state.rects.popper,\n strategy: 'absolute',\n placement: state.placement\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'popperOffsets',\n enabled: true,\n phase: 'read',\n fn: popperOffsets,\n data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n var state = _ref.state,\n options = _ref.options,\n name = _ref.name;\n var _options$mainAxis = options.mainAxis,\n checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n _options$altAxis = options.altAxis,\n checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n boundary = options.boundary,\n rootBoundary = options.rootBoundary,\n altBoundary = options.altBoundary,\n padding = options.padding,\n _options$tether = options.tether,\n tether = _options$tether === void 0 ? true : _options$tether,\n _options$tetherOffset = options.tetherOffset,\n tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n var overflow = detectOverflow(state, {\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding,\n altBoundary: altBoundary\n });\n var basePlacement = getBasePlacement(state.placement);\n var variation = getVariation(state.placement);\n var isBasePlacement = !variation;\n var mainAxis = getMainAxisFromPlacement(basePlacement);\n var altAxis = getAltAxis(mainAxis);\n var popperOffsets = state.modifiersData.popperOffsets;\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n placement: state.placement\n })) : tetherOffset;\n var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n mainAxis: tetherOffsetValue,\n altAxis: tetherOffsetValue\n } : Object.assign({\n mainAxis: 0,\n altAxis: 0\n }, tetherOffsetValue);\n var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n var data = {\n x: 0,\n y: 0\n };\n\n if (!popperOffsets) {\n return;\n }\n\n if (checkMainAxis) {\n var _offsetModifierState$;\n\n var mainSide = mainAxis === 'y' ? top : left;\n var altSide = mainAxis === 'y' ? bottom : right;\n var len = mainAxis === 'y' ? 'height' : 'width';\n var offset = popperOffsets[mainAxis];\n var min = offset + overflow[mainSide];\n var max = offset - overflow[altSide];\n var additive = tether ? -popperRect[len] / 2 : 0;\n var minLen = variation === start ? referenceRect[len] : popperRect[len];\n var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n // outside the reference bounds\n\n var arrowElement = state.elements.arrow;\n var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n width: 0,\n height: 0\n };\n var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n var arrowPaddingMin = arrowPaddingObject[mainSide];\n var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n // to include its full size in the calculation. If the reference is small\n // and near the edge of a boundary, the popper can overflow even if the\n // reference is not overflowing as well (e.g. virtual elements with no\n // width or height)\n\n var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n var tetherMax = offset + maxOffset - offsetModifierValue;\n var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n popperOffsets[mainAxis] = preventedOffset;\n data[mainAxis] = preventedOffset - offset;\n }\n\n if (checkAltAxis) {\n var _offsetModifierState$2;\n\n var _mainSide = mainAxis === 'x' ? top : left;\n\n var _altSide = mainAxis === 'x' ? bottom : right;\n\n var _offset = popperOffsets[altAxis];\n\n var _len = altAxis === 'y' ? 'height' : 'width';\n\n var _min = _offset + overflow[_mainSide];\n\n var _max = _offset - overflow[_altSide];\n\n var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n popperOffsets[altAxis] = _preventedOffset;\n data[altAxis] = _preventedOffset - _offset;\n }\n\n state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'preventOverflow',\n enabled: true,\n phase: 'main',\n fn: preventOverflow,\n requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n var rect = element.getBoundingClientRect();\n var scaleX = round(rect.width) / element.offsetWidth || 1;\n var scaleY = round(rect.height) / element.offsetHeight || 1;\n return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n if (isFixed === void 0) {\n isFixed = false;\n }\n\n var isOffsetParentAnElement = isHTMLElement(offsetParent);\n var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n var documentElement = getDocumentElement(offsetParent);\n var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n var scroll = {\n scrollLeft: 0,\n scrollTop: 0\n };\n var offsets = {\n x: 0,\n y: 0\n };\n\n if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n isScrollParent(documentElement)) {\n scroll = getNodeScroll(offsetParent);\n }\n\n if (isHTMLElement(offsetParent)) {\n offsets = getBoundingClientRect(offsetParent, true);\n offsets.x += offsetParent.clientLeft;\n offsets.y += offsetParent.clientTop;\n } else if (documentElement) {\n offsets.x = getWindowScrollBarX(documentElement);\n }\n }\n\n return {\n x: rect.left + scroll.scrollLeft - offsets.x,\n y: rect.top + scroll.scrollTop - offsets.y,\n width: rect.width,\n height: rect.height\n };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n if (node === getWindow(node) || !isHTMLElement(node)) {\n return getWindowScroll(node);\n } else {\n return getHTMLElementScroll(node);\n }\n}","export default function getHTMLElementScroll(element) {\n return {\n scrollLeft: element.scrollLeft,\n scrollTop: element.scrollTop\n };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n var map = new Map();\n var visited = new Set();\n var result = [];\n modifiers.forEach(function (modifier) {\n map.set(modifier.name, modifier);\n }); // On visiting object, check for its dependencies and visit them recursively\n\n function sort(modifier) {\n visited.add(modifier.name);\n var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n requires.forEach(function (dep) {\n if (!visited.has(dep)) {\n var depModifier = map.get(dep);\n\n if (depModifier) {\n sort(depModifier);\n }\n }\n });\n result.push(modifier);\n }\n\n modifiers.forEach(function (modifier) {\n if (!visited.has(modifier.name)) {\n // check for visited object\n sort(modifier);\n }\n });\n return result;\n}\n\nexport default function orderModifiers(modifiers) {\n // order based on dependencies\n var orderedModifiers = order(modifiers); // order based on phase\n\n return modifierPhases.reduce(function (acc, phase) {\n return acc.concat(orderedModifiers.filter(function (modifier) {\n return modifier.phase === phase;\n }));\n }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n placement: 'bottom',\n modifiers: [],\n strategy: 'absolute'\n};\n\nfunction areValidElements() {\n for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n args[_key] = arguments[_key];\n }\n\n return !args.some(function (element) {\n return !(element && typeof element.getBoundingClientRect === 'function');\n });\n}\n\nexport function popperGenerator(generatorOptions) {\n if (generatorOptions === void 0) {\n generatorOptions = {};\n }\n\n var _generatorOptions = generatorOptions,\n _generatorOptions$def = _generatorOptions.defaultModifiers,\n defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n _generatorOptions$def2 = _generatorOptions.defaultOptions,\n defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n return function createPopper(reference, popper, options) {\n if (options === void 0) {\n options = defaultOptions;\n }\n\n var state = {\n placement: 'bottom',\n orderedModifiers: [],\n options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n modifiersData: {},\n elements: {\n reference: reference,\n popper: popper\n },\n attributes: {},\n styles: {}\n };\n var effectCleanupFns = [];\n var isDestroyed = false;\n var instance = {\n state: state,\n setOptions: function setOptions(setOptionsAction) {\n var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n cleanupModifierEffects();\n state.options = Object.assign({}, defaultOptions, state.options, options);\n state.scrollParents = {\n reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n popper: listScrollParents(popper)\n }; // Orders the modifiers based on their dependencies and `phase`\n // properties\n\n var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n state.orderedModifiers = orderedModifiers.filter(function (m) {\n return m.enabled;\n });\n runModifierEffects();\n return instance.update();\n },\n // Sync update – it will always be executed, even if not necessary. This\n // is useful for low frequency updates where sync behavior simplifies the\n // logic.\n // For high frequency updates (e.g. `resize` and `scroll` events), always\n // prefer the async Popper#update method\n forceUpdate: function forceUpdate() {\n if (isDestroyed) {\n return;\n }\n\n var _state$elements = state.elements,\n reference = _state$elements.reference,\n popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n // anymore\n\n if (!areValidElements(reference, popper)) {\n return;\n } // Store the reference and popper rects to be read by modifiers\n\n\n state.rects = {\n reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n popper: getLayoutRect(popper)\n }; // Modifiers have the ability to reset the current update cycle. The\n // most common use case for this is the `flip` modifier changing the\n // placement, which then needs to re-run all the modifiers, because the\n // logic was previously ran for the previous placement and is therefore\n // stale/incorrect\n\n state.reset = false;\n state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n // is filled with the initial data specified by the modifier. This means\n // it doesn't persist and is fresh on each update.\n // To ensure persistent data, use `${name}#persistent`\n\n state.orderedModifiers.forEach(function (modifier) {\n return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n });\n\n for (var index = 0; index < state.orderedModifiers.length; index++) {\n if (state.reset === true) {\n state.reset = false;\n index = -1;\n continue;\n }\n\n var _state$orderedModifie = state.orderedModifiers[index],\n fn = _state$orderedModifie.fn,\n _state$orderedModifie2 = _state$orderedModifie.options,\n _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n name = _state$orderedModifie.name;\n\n if (typeof fn === 'function') {\n state = fn({\n state: state,\n options: _options,\n name: name,\n instance: instance\n }) || state;\n }\n }\n },\n // Async and optimistically optimized update – it will not be executed if\n // not necessary (debounced to run at most once-per-tick)\n update: debounce(function () {\n return new Promise(function (resolve) {\n instance.forceUpdate();\n resolve(state);\n });\n }),\n destroy: function destroy() {\n cleanupModifierEffects();\n isDestroyed = true;\n }\n };\n\n if (!areValidElements(reference, popper)) {\n return instance;\n }\n\n instance.setOptions(options).then(function (state) {\n if (!isDestroyed && options.onFirstUpdate) {\n options.onFirstUpdate(state);\n }\n }); // Modifiers have the ability to execute arbitrary code before the first\n // update cycle runs. They will be executed in the same order as the update\n // cycle. This is useful when a modifier adds some persistent data that\n // other modifiers need to use, but the modifier is run after the dependent\n // one.\n\n function runModifierEffects() {\n state.orderedModifiers.forEach(function (_ref) {\n var name = _ref.name,\n _ref$options = _ref.options,\n options = _ref$options === void 0 ? {} : _ref$options,\n effect = _ref.effect;\n\n if (typeof effect === 'function') {\n var cleanupFn = effect({\n state: state,\n name: name,\n instance: instance,\n options: options\n });\n\n var noopFn = function noopFn() {};\n\n effectCleanupFns.push(cleanupFn || noopFn);\n }\n });\n }\n\n function cleanupModifierEffects() {\n effectCleanupFns.forEach(function (fn) {\n return fn();\n });\n effectCleanupFns = [];\n }\n\n return instance;\n };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n var pending;\n return function () {\n if (!pending) {\n pending = new Promise(function (resolve) {\n Promise.resolve().then(function () {\n pending = undefined;\n resolve(fn());\n });\n });\n }\n\n return pending;\n };\n}","export default function mergeByName(modifiers) {\n var merged = modifiers.reduce(function (merged, current) {\n var existing = merged[current.name];\n merged[current.name] = existing ? Object.assign({}, existing, current, {\n options: Object.assign({}, existing.options, current.options),\n data: Object.assign({}, existing.data, current.data)\n }) : current;\n return merged;\n }, {}); // IE11 does not support Object.values\n\n return Object.keys(merged).map(function (key) {\n return merged[key];\n });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","/*!\n * Bootstrap v5.3.3 (https://getbootstrap.com/)\n * Copyright 2011-2024 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n */\nimport * as Popper from '@popperjs/core';\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * Constants\n */\n\nconst elementMap = new Map();\nconst Data = {\n set(element, key, instance) {\n if (!elementMap.has(element)) {\n elementMap.set(element, new Map());\n }\n const instanceMap = elementMap.get(element);\n\n // make it clear we only want one instance per element\n // can be removed later when multiple key/instances are fine to be used\n if (!instanceMap.has(key) && instanceMap.size !== 0) {\n // eslint-disable-next-line no-console\n console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`);\n return;\n }\n instanceMap.set(key, instance);\n },\n get(element, key) {\n if (elementMap.has(element)) {\n return elementMap.get(element).get(key) || null;\n }\n return null;\n },\n remove(element, key) {\n if (!elementMap.has(element)) {\n return;\n }\n const instanceMap = elementMap.get(element);\n instanceMap.delete(key);\n\n // free up element references if there are no instances left for an element\n if (instanceMap.size === 0) {\n elementMap.delete(element);\n }\n }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/index.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst MAX_UID = 1000000;\nconst MILLISECONDS_MULTIPLIER = 1000;\nconst TRANSITION_END = 'transitionend';\n\n/**\n * Properly escape IDs selectors to handle weird IDs\n * @param {string} selector\n * @returns {string}\n */\nconst parseSelector = selector => {\n if (selector && window.CSS && window.CSS.escape) {\n // document.querySelector needs escaping to handle IDs (html5+) containing for instance /\n selector = selector.replace(/#([^\\s\"#']+)/g, (match, id) => `#${CSS.escape(id)}`);\n }\n return selector;\n};\n\n// Shout-out Angus Croll (https://goo.gl/pxwQGp)\nconst toType = object => {\n if (object === null || object === undefined) {\n return `${object}`;\n }\n return Object.prototype.toString.call(object).match(/\\s([a-z]+)/i)[1].toLowerCase();\n};\n\n/**\n * Public Util API\n */\n\nconst getUID = prefix => {\n do {\n prefix += Math.floor(Math.random() * MAX_UID);\n } while (document.getElementById(prefix));\n return prefix;\n};\nconst getTransitionDurationFromElement = element => {\n if (!element) {\n return 0;\n }\n\n // Get transition-duration of the element\n let {\n transitionDuration,\n transitionDelay\n } = window.getComputedStyle(element);\n const floatTransitionDuration = Number.parseFloat(transitionDuration);\n const floatTransitionDelay = Number.parseFloat(transitionDelay);\n\n // Return 0 if element or transition duration is not found\n if (!floatTransitionDuration && !floatTransitionDelay) {\n return 0;\n }\n\n // If multiple durations are defined, take the first\n transitionDuration = transitionDuration.split(',')[0];\n transitionDelay = transitionDelay.split(',')[0];\n return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER;\n};\nconst triggerTransitionEnd = element => {\n element.dispatchEvent(new Event(TRANSITION_END));\n};\nconst isElement = object => {\n if (!object || typeof object !== 'object') {\n return false;\n }\n if (typeof object.jquery !== 'undefined') {\n object = object[0];\n }\n return typeof object.nodeType !== 'undefined';\n};\nconst getElement = object => {\n // it's a jQuery object or a node element\n if (isElement(object)) {\n return object.jquery ? object[0] : object;\n }\n if (typeof object === 'string' && object.length > 0) {\n return document.querySelector(parseSelector(object));\n }\n return null;\n};\nconst isVisible = element => {\n if (!isElement(element) || element.getClientRects().length === 0) {\n return false;\n }\n const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible';\n // Handle `details` element as its content may falsie appear visible when it is closed\n const closedDetails = element.closest('details:not([open])');\n if (!closedDetails) {\n return elementIsVisible;\n }\n if (closedDetails !== element) {\n const summary = element.closest('summary');\n if (summary && summary.parentNode !== closedDetails) {\n return false;\n }\n if (summary === null) {\n return false;\n }\n }\n return elementIsVisible;\n};\nconst isDisabled = element => {\n if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n return true;\n }\n if (element.classList.contains('disabled')) {\n return true;\n }\n if (typeof element.disabled !== 'undefined') {\n return element.disabled;\n }\n return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false';\n};\nconst findShadowRoot = element => {\n if (!document.documentElement.attachShadow) {\n return null;\n }\n\n // Can find the shadow root otherwise it'll return the document\n if (typeof element.getRootNode === 'function') {\n const root = element.getRootNode();\n return root instanceof ShadowRoot ? root : null;\n }\n if (element instanceof ShadowRoot) {\n return element;\n }\n\n // when we don't find a shadow root\n if (!element.parentNode) {\n return null;\n }\n return findShadowRoot(element.parentNode);\n};\nconst noop = () => {};\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n element.offsetHeight; // eslint-disable-line no-unused-expressions\n};\nconst getjQuery = () => {\n if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n return window.jQuery;\n }\n return null;\n};\nconst DOMContentLoadedCallbacks = [];\nconst onDOMContentLoaded = callback => {\n if (document.readyState === 'loading') {\n // add listener on the first call when the document is in loading state\n if (!DOMContentLoadedCallbacks.length) {\n document.addEventListener('DOMContentLoaded', () => {\n for (const callback of DOMContentLoadedCallbacks) {\n callback();\n }\n });\n }\n DOMContentLoadedCallbacks.push(callback);\n } else {\n callback();\n }\n};\nconst isRTL = () => document.documentElement.dir === 'rtl';\nconst defineJQueryPlugin = plugin => {\n onDOMContentLoaded(() => {\n const $ = getjQuery();\n /* istanbul ignore if */\n if ($) {\n const name = plugin.NAME;\n const JQUERY_NO_CONFLICT = $.fn[name];\n $.fn[name] = plugin.jQueryInterface;\n $.fn[name].Constructor = plugin;\n $.fn[name].noConflict = () => {\n $.fn[name] = JQUERY_NO_CONFLICT;\n return plugin.jQueryInterface;\n };\n }\n });\n};\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue;\n};\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n if (!waitForTransition) {\n execute(callback);\n return;\n }\n const durationPadding = 5;\n const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding;\n let called = false;\n const handler = ({\n target\n }) => {\n if (target !== transitionElement) {\n return;\n }\n called = true;\n transitionElement.removeEventListener(TRANSITION_END, handler);\n execute(callback);\n };\n transitionElement.addEventListener(TRANSITION_END, handler);\n setTimeout(() => {\n if (!called) {\n triggerTransitionEnd(transitionElement);\n }\n }, emulatedDuration);\n};\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list The list of elements\n * @param activeElement The active element\n * @param shouldGetNext Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n const listLength = list.length;\n let index = list.indexOf(activeElement);\n\n // if the element does not exist in the list return an element\n // depending on the direction and if cycle is allowed\n if (index === -1) {\n return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0];\n }\n index += shouldGetNext ? 1 : -1;\n if (isCycleAllowed) {\n index = (index + listLength) % listLength;\n }\n return list[Math.max(0, Math.min(index, listLength - 1))];\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/;\nconst stripNameRegex = /\\..*/;\nconst stripUidRegex = /::\\d+$/;\nconst eventRegistry = {}; // Events storage\nlet uidEvent = 1;\nconst customEvents = {\n mouseenter: 'mouseover',\n mouseleave: 'mouseout'\n};\nconst nativeEvents = new Set(['click', 'dblclick', 'mouseup', 'mousedown', 'contextmenu', 'mousewheel', 'DOMMouseScroll', 'mouseover', 'mouseout', 'mousemove', 'selectstart', 'selectend', 'keydown', 'keypress', 'keyup', 'orientationchange', 'touchstart', 'touchmove', 'touchend', 'touchcancel', 'pointerdown', 'pointermove', 'pointerup', 'pointerleave', 'pointercancel', 'gesturestart', 'gesturechange', 'gestureend', 'focus', 'blur', 'change', 'reset', 'select', 'submit', 'focusin', 'focusout', 'load', 'unload', 'beforeunload', 'resize', 'move', 'DOMContentLoaded', 'readystatechange', 'error', 'abort', 'scroll']);\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n return uid && `${uid}::${uidEvent++}` || element.uidEvent || uidEvent++;\n}\nfunction getElementEvents(element) {\n const uid = makeEventUid(element);\n element.uidEvent = uid;\n eventRegistry[uid] = eventRegistry[uid] || {};\n return eventRegistry[uid];\n}\nfunction bootstrapHandler(element, fn) {\n return function handler(event) {\n hydrateObj(event, {\n delegateTarget: element\n });\n if (handler.oneOff) {\n EventHandler.off(element, event.type, fn);\n }\n return fn.apply(element, [event]);\n };\n}\nfunction bootstrapDelegationHandler(element, selector, fn) {\n return function handler(event) {\n const domElements = element.querySelectorAll(selector);\n for (let {\n target\n } = event; target && target !== this; target = target.parentNode) {\n for (const domElement of domElements) {\n if (domElement !== target) {\n continue;\n }\n hydrateObj(event, {\n delegateTarget: target\n });\n if (handler.oneOff) {\n EventHandler.off(element, event.type, selector, fn);\n }\n return fn.apply(target, [event]);\n }\n }\n };\n}\nfunction findHandler(events, callable, delegationSelector = null) {\n return Object.values(events).find(event => event.callable === callable && event.delegationSelector === delegationSelector);\n}\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n const isDelegated = typeof handler === 'string';\n // TODO: tooltip passes `false` instead of selector, so we need to check\n const callable = isDelegated ? delegationFunction : handler || delegationFunction;\n let typeEvent = getTypeEvent(originalTypeEvent);\n if (!nativeEvents.has(typeEvent)) {\n typeEvent = originalTypeEvent;\n }\n return [isDelegated, callable, typeEvent];\n}\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n if (typeof originalTypeEvent !== 'string' || !element) {\n return;\n }\n let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n\n // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n if (originalTypeEvent in customEvents) {\n const wrapFunction = fn => {\n return function (event) {\n if (!event.relatedTarget || event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget)) {\n return fn.call(this, event);\n }\n };\n };\n callable = wrapFunction(callable);\n }\n const events = getElementEvents(element);\n const handlers = events[typeEvent] || (events[typeEvent] = {});\n const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null);\n if (previousFunction) {\n previousFunction.oneOff = previousFunction.oneOff && oneOff;\n return;\n }\n const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''));\n const fn = isDelegated ? bootstrapDelegationHandler(element, handler, callable) : bootstrapHandler(element, callable);\n fn.delegationSelector = isDelegated ? handler : null;\n fn.callable = callable;\n fn.oneOff = oneOff;\n fn.uidEvent = uid;\n handlers[uid] = fn;\n element.addEventListener(typeEvent, fn, isDelegated);\n}\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n const fn = findHandler(events[typeEvent], handler, delegationSelector);\n if (!fn) {\n return;\n }\n element.removeEventListener(typeEvent, fn, Boolean(delegationSelector));\n delete events[typeEvent][fn.uidEvent];\n}\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n const storeElementEvent = events[typeEvent] || {};\n for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n if (handlerKey.includes(namespace)) {\n removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n }\n }\n}\nfunction getTypeEvent(event) {\n // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n event = event.replace(stripNameRegex, '');\n return customEvents[event] || event;\n}\nconst EventHandler = {\n on(element, event, handler, delegationFunction) {\n addHandler(element, event, handler, delegationFunction, false);\n },\n one(element, event, handler, delegationFunction) {\n addHandler(element, event, handler, delegationFunction, true);\n },\n off(element, originalTypeEvent, handler, delegationFunction) {\n if (typeof originalTypeEvent !== 'string' || !element) {\n return;\n }\n const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n const inNamespace = typeEvent !== originalTypeEvent;\n const events = getElementEvents(element);\n const storeElementEvent = events[typeEvent] || {};\n const isNamespace = originalTypeEvent.startsWith('.');\n if (typeof callable !== 'undefined') {\n // Simplest case: handler is passed, remove that listener ONLY.\n if (!Object.keys(storeElementEvent).length) {\n return;\n }\n removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null);\n return;\n }\n if (isNamespace) {\n for (const elementEvent of Object.keys(events)) {\n removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1));\n }\n }\n for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n const handlerKey = keyHandlers.replace(stripUidRegex, '');\n if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n }\n }\n },\n trigger(element, event, args) {\n if (typeof event !== 'string' || !element) {\n return null;\n }\n const $ = getjQuery();\n const typeEvent = getTypeEvent(event);\n const inNamespace = event !== typeEvent;\n let jQueryEvent = null;\n let bubbles = true;\n let nativeDispatch = true;\n let defaultPrevented = false;\n if (inNamespace && $) {\n jQueryEvent = $.Event(event, args);\n $(element).trigger(jQueryEvent);\n bubbles = !jQueryEvent.isPropagationStopped();\n nativeDispatch = !jQueryEvent.isImmediatePropagationStopped();\n defaultPrevented = jQueryEvent.isDefaultPrevented();\n }\n const evt = hydrateObj(new Event(event, {\n bubbles,\n cancelable: true\n }), args);\n if (defaultPrevented) {\n evt.preventDefault();\n }\n if (nativeDispatch) {\n element.dispatchEvent(evt);\n }\n if (evt.defaultPrevented && jQueryEvent) {\n jQueryEvent.preventDefault();\n }\n return evt;\n }\n};\nfunction hydrateObj(obj, meta = {}) {\n for (const [key, value] of Object.entries(meta)) {\n try {\n obj[key] = value;\n } catch (_unused) {\n Object.defineProperty(obj, key, {\n configurable: true,\n get() {\n return value;\n }\n });\n }\n }\n return obj;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n if (value === 'true') {\n return true;\n }\n if (value === 'false') {\n return false;\n }\n if (value === Number(value).toString()) {\n return Number(value);\n }\n if (value === '' || value === 'null') {\n return null;\n }\n if (typeof value !== 'string') {\n return value;\n }\n try {\n return JSON.parse(decodeURIComponent(value));\n } catch (_unused) {\n return value;\n }\n}\nfunction normalizeDataKey(key) {\n return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`);\n}\nconst Manipulator = {\n setDataAttribute(element, key, value) {\n element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value);\n },\n removeDataAttribute(element, key) {\n element.removeAttribute(`data-bs-${normalizeDataKey(key)}`);\n },\n getDataAttributes(element) {\n if (!element) {\n return {};\n }\n const attributes = {};\n const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'));\n for (const key of bsKeys) {\n let pureKey = key.replace(/^bs/, '');\n pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length);\n attributes[pureKey] = normalizeData(element.dataset[key]);\n }\n return attributes;\n },\n getDataAttribute(element, key) {\n return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`));\n }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Class definition\n */\n\nclass Config {\n // Getters\n static get Default() {\n return {};\n }\n static get DefaultType() {\n return {};\n }\n static get NAME() {\n throw new Error('You have to implement the static method \"NAME\", for each component!');\n }\n _getConfig(config) {\n config = this._mergeConfigObj(config);\n config = this._configAfterMerge(config);\n this._typeCheckConfig(config);\n return config;\n }\n _configAfterMerge(config) {\n return config;\n }\n _mergeConfigObj(config, element) {\n const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {}; // try to parse\n\n return {\n ...this.constructor.Default,\n ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n ...(typeof config === 'object' ? config : {})\n };\n }\n _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n for (const [property, expectedTypes] of Object.entries(configTypes)) {\n const value = config[property];\n const valueType = isElement(value) ? 'element' : toType(value);\n if (!new RegExp(expectedTypes).test(valueType)) {\n throw new TypeError(`${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`);\n }\n }\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.3';\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n constructor(element, config) {\n super();\n element = getElement(element);\n if (!element) {\n return;\n }\n this._element = element;\n this._config = this._getConfig(config);\n Data.set(this._element, this.constructor.DATA_KEY, this);\n }\n\n // Public\n dispose() {\n Data.remove(this._element, this.constructor.DATA_KEY);\n EventHandler.off(this._element, this.constructor.EVENT_KEY);\n for (const propertyName of Object.getOwnPropertyNames(this)) {\n this[propertyName] = null;\n }\n }\n _queueCallback(callback, element, isAnimated = true) {\n executeAfterTransition(callback, element, isAnimated);\n }\n _getConfig(config) {\n config = this._mergeConfigObj(config, this._element);\n config = this._configAfterMerge(config);\n this._typeCheckConfig(config);\n return config;\n }\n\n // Static\n static getInstance(element) {\n return Data.get(getElement(element), this.DATA_KEY);\n }\n static getOrCreateInstance(element, config = {}) {\n return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null);\n }\n static get VERSION() {\n return VERSION;\n }\n static get DATA_KEY() {\n return `bs.${this.NAME}`;\n }\n static get EVENT_KEY() {\n return `.${this.DATA_KEY}`;\n }\n static eventName(name) {\n return `${name}${this.EVENT_KEY}`;\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst getSelector = element => {\n let selector = element.getAttribute('data-bs-target');\n if (!selector || selector === '#') {\n let hrefAttribute = element.getAttribute('href');\n\n // The only valid content that could double as a selector are IDs or classes,\n // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n // `document.querySelector` will rightfully complain it is invalid.\n // See https://github.com/twbs/bootstrap/issues/32273\n if (!hrefAttribute || !hrefAttribute.includes('#') && !hrefAttribute.startsWith('.')) {\n return null;\n }\n\n // Just in case some CMS puts out a full URL with the anchor appended\n if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n hrefAttribute = `#${hrefAttribute.split('#')[1]}`;\n }\n selector = hrefAttribute && hrefAttribute !== '#' ? hrefAttribute.trim() : null;\n }\n return selector ? selector.split(',').map(sel => parseSelector(sel)).join(',') : null;\n};\nconst SelectorEngine = {\n find(selector, element = document.documentElement) {\n return [].concat(...Element.prototype.querySelectorAll.call(element, selector));\n },\n findOne(selector, element = document.documentElement) {\n return Element.prototype.querySelector.call(element, selector);\n },\n children(element, selector) {\n return [].concat(...element.children).filter(child => child.matches(selector));\n },\n parents(element, selector) {\n const parents = [];\n let ancestor = element.parentNode.closest(selector);\n while (ancestor) {\n parents.push(ancestor);\n ancestor = ancestor.parentNode.closest(selector);\n }\n return parents;\n },\n prev(element, selector) {\n let previous = element.previousElementSibling;\n while (previous) {\n if (previous.matches(selector)) {\n return [previous];\n }\n previous = previous.previousElementSibling;\n }\n return [];\n },\n // TODO: this is now unused; remove later along with prev()\n next(element, selector) {\n let next = element.nextElementSibling;\n while (next) {\n if (next.matches(selector)) {\n return [next];\n }\n next = next.nextElementSibling;\n }\n return [];\n },\n focusableChildren(element) {\n const focusables = ['a', 'button', 'input', 'textarea', 'select', 'details', '[tabindex]', '[contenteditable=\"true\"]'].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',');\n return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el));\n },\n getSelectorFromElement(element) {\n const selector = getSelector(element);\n if (selector) {\n return SelectorEngine.findOne(selector) ? selector : null;\n }\n return null;\n },\n getElementFromSelector(element) {\n const selector = getSelector(element);\n return selector ? SelectorEngine.findOne(selector) : null;\n },\n getMultipleElementsFromSelector(element) {\n const selector = getSelector(element);\n return selector ? SelectorEngine.find(selector) : [];\n }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n const clickEvent = `click.dismiss${component.EVENT_KEY}`;\n const name = component.NAME;\n EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault();\n }\n if (isDisabled(this)) {\n return;\n }\n const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`);\n const instance = component.getOrCreateInstance(target);\n\n // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n instance[method]();\n });\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$f = 'alert';\nconst DATA_KEY$a = 'bs.alert';\nconst EVENT_KEY$b = `.${DATA_KEY$a}`;\nconst EVENT_CLOSE = `close${EVENT_KEY$b}`;\nconst EVENT_CLOSED = `closed${EVENT_KEY$b}`;\nconst CLASS_NAME_FADE$5 = 'fade';\nconst CLASS_NAME_SHOW$8 = 'show';\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n // Getters\n static get NAME() {\n return NAME$f;\n }\n\n // Public\n close() {\n const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE);\n if (closeEvent.defaultPrevented) {\n return;\n }\n this._element.classList.remove(CLASS_NAME_SHOW$8);\n const isAnimated = this._element.classList.contains(CLASS_NAME_FADE$5);\n this._queueCallback(() => this._destroyElement(), this._element, isAnimated);\n }\n\n // Private\n _destroyElement() {\n this._element.remove();\n EventHandler.trigger(this._element, EVENT_CLOSED);\n this.dispose();\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Alert.getOrCreateInstance(this);\n if (typeof config !== 'string') {\n return;\n }\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config](this);\n });\n }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close');\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$e = 'button';\nconst DATA_KEY$9 = 'bs.button';\nconst EVENT_KEY$a = `.${DATA_KEY$9}`;\nconst DATA_API_KEY$6 = '.data-api';\nconst CLASS_NAME_ACTIVE$3 = 'active';\nconst SELECTOR_DATA_TOGGLE$5 = '[data-bs-toggle=\"button\"]';\nconst EVENT_CLICK_DATA_API$6 = `click${EVENT_KEY$a}${DATA_API_KEY$6}`;\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n // Getters\n static get NAME() {\n return NAME$e;\n }\n\n // Public\n toggle() {\n // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE$3));\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Button.getOrCreateInstance(this);\n if (config === 'toggle') {\n data[config]();\n }\n });\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$6, SELECTOR_DATA_TOGGLE$5, event => {\n event.preventDefault();\n const button = event.target.closest(SELECTOR_DATA_TOGGLE$5);\n const data = Button.getOrCreateInstance(button);\n data.toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$d = 'swipe';\nconst EVENT_KEY$9 = '.bs.swipe';\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY$9}`;\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY$9}`;\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY$9}`;\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY$9}`;\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY$9}`;\nconst POINTER_TYPE_TOUCH = 'touch';\nconst POINTER_TYPE_PEN = 'pen';\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event';\nconst SWIPE_THRESHOLD = 40;\nconst Default$c = {\n endCallback: null,\n leftCallback: null,\n rightCallback: null\n};\nconst DefaultType$c = {\n endCallback: '(function|null)',\n leftCallback: '(function|null)',\n rightCallback: '(function|null)'\n};\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n constructor(element, config) {\n super();\n this._element = element;\n if (!element || !Swipe.isSupported()) {\n return;\n }\n this._config = this._getConfig(config);\n this._deltaX = 0;\n this._supportPointerEvents = Boolean(window.PointerEvent);\n this._initEvents();\n }\n\n // Getters\n static get Default() {\n return Default$c;\n }\n static get DefaultType() {\n return DefaultType$c;\n }\n static get NAME() {\n return NAME$d;\n }\n\n // Public\n dispose() {\n EventHandler.off(this._element, EVENT_KEY$9);\n }\n\n // Private\n _start(event) {\n if (!this._supportPointerEvents) {\n this._deltaX = event.touches[0].clientX;\n return;\n }\n if (this._eventIsPointerPenTouch(event)) {\n this._deltaX = event.clientX;\n }\n }\n _end(event) {\n if (this._eventIsPointerPenTouch(event)) {\n this._deltaX = event.clientX - this._deltaX;\n }\n this._handleSwipe();\n execute(this._config.endCallback);\n }\n _move(event) {\n this._deltaX = event.touches && event.touches.length > 1 ? 0 : event.touches[0].clientX - this._deltaX;\n }\n _handleSwipe() {\n const absDeltaX = Math.abs(this._deltaX);\n if (absDeltaX <= SWIPE_THRESHOLD) {\n return;\n }\n const direction = absDeltaX / this._deltaX;\n this._deltaX = 0;\n if (!direction) {\n return;\n }\n execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback);\n }\n _initEvents() {\n if (this._supportPointerEvents) {\n EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event));\n EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event));\n this._element.classList.add(CLASS_NAME_POINTER_EVENT);\n } else {\n EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event));\n EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event));\n EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event));\n }\n }\n _eventIsPointerPenTouch(event) {\n return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH);\n }\n\n // Static\n static isSupported() {\n return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0;\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$c = 'carousel';\nconst DATA_KEY$8 = 'bs.carousel';\nconst EVENT_KEY$8 = `.${DATA_KEY$8}`;\nconst DATA_API_KEY$5 = '.data-api';\nconst ARROW_LEFT_KEY$1 = 'ArrowLeft';\nconst ARROW_RIGHT_KEY$1 = 'ArrowRight';\nconst TOUCHEVENT_COMPAT_WAIT = 500; // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next';\nconst ORDER_PREV = 'prev';\nconst DIRECTION_LEFT = 'left';\nconst DIRECTION_RIGHT = 'right';\nconst EVENT_SLIDE = `slide${EVENT_KEY$8}`;\nconst EVENT_SLID = `slid${EVENT_KEY$8}`;\nconst EVENT_KEYDOWN$1 = `keydown${EVENT_KEY$8}`;\nconst EVENT_MOUSEENTER$1 = `mouseenter${EVENT_KEY$8}`;\nconst EVENT_MOUSELEAVE$1 = `mouseleave${EVENT_KEY$8}`;\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY$8}`;\nconst EVENT_LOAD_DATA_API$3 = `load${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst EVENT_CLICK_DATA_API$5 = `click${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst CLASS_NAME_CAROUSEL = 'carousel';\nconst CLASS_NAME_ACTIVE$2 = 'active';\nconst CLASS_NAME_SLIDE = 'slide';\nconst CLASS_NAME_END = 'carousel-item-end';\nconst CLASS_NAME_START = 'carousel-item-start';\nconst CLASS_NAME_NEXT = 'carousel-item-next';\nconst CLASS_NAME_PREV = 'carousel-item-prev';\nconst SELECTOR_ACTIVE = '.active';\nconst SELECTOR_ITEM = '.carousel-item';\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM;\nconst SELECTOR_ITEM_IMG = '.carousel-item img';\nconst SELECTOR_INDICATORS = '.carousel-indicators';\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]';\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]';\nconst KEY_TO_DIRECTION = {\n [ARROW_LEFT_KEY$1]: DIRECTION_RIGHT,\n [ARROW_RIGHT_KEY$1]: DIRECTION_LEFT\n};\nconst Default$b = {\n interval: 5000,\n keyboard: true,\n pause: 'hover',\n ride: false,\n touch: true,\n wrap: true\n};\nconst DefaultType$b = {\n interval: '(number|boolean)',\n // TODO:v6 remove boolean support\n keyboard: 'boolean',\n pause: '(string|boolean)',\n ride: '(boolean|string)',\n touch: 'boolean',\n wrap: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._interval = null;\n this._activeElement = null;\n this._isSliding = false;\n this.touchTimeout = null;\n this._swipeHelper = null;\n this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element);\n this._addEventListeners();\n if (this._config.ride === CLASS_NAME_CAROUSEL) {\n this.cycle();\n }\n }\n\n // Getters\n static get Default() {\n return Default$b;\n }\n static get DefaultType() {\n return DefaultType$b;\n }\n static get NAME() {\n return NAME$c;\n }\n\n // Public\n next() {\n this._slide(ORDER_NEXT);\n }\n nextWhenVisible() {\n // FIXME TODO use `document.visibilityState`\n // Don't call next when the page isn't visible\n // or the carousel or its parent isn't visible\n if (!document.hidden && isVisible(this._element)) {\n this.next();\n }\n }\n prev() {\n this._slide(ORDER_PREV);\n }\n pause() {\n if (this._isSliding) {\n triggerTransitionEnd(this._element);\n }\n this._clearInterval();\n }\n cycle() {\n this._clearInterval();\n this._updateInterval();\n this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval);\n }\n _maybeEnableCycle() {\n if (!this._config.ride) {\n return;\n }\n if (this._isSliding) {\n EventHandler.one(this._element, EVENT_SLID, () => this.cycle());\n return;\n }\n this.cycle();\n }\n to(index) {\n const items = this._getItems();\n if (index > items.length - 1 || index < 0) {\n return;\n }\n if (this._isSliding) {\n EventHandler.one(this._element, EVENT_SLID, () => this.to(index));\n return;\n }\n const activeIndex = this._getItemIndex(this._getActive());\n if (activeIndex === index) {\n return;\n }\n const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV;\n this._slide(order, items[index]);\n }\n dispose() {\n if (this._swipeHelper) {\n this._swipeHelper.dispose();\n }\n super.dispose();\n }\n\n // Private\n _configAfterMerge(config) {\n config.defaultInterval = config.interval;\n return config;\n }\n _addEventListeners() {\n if (this._config.keyboard) {\n EventHandler.on(this._element, EVENT_KEYDOWN$1, event => this._keydown(event));\n }\n if (this._config.pause === 'hover') {\n EventHandler.on(this._element, EVENT_MOUSEENTER$1, () => this.pause());\n EventHandler.on(this._element, EVENT_MOUSELEAVE$1, () => this._maybeEnableCycle());\n }\n if (this._config.touch && Swipe.isSupported()) {\n this._addTouchEventListeners();\n }\n }\n _addTouchEventListeners() {\n for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault());\n }\n const endCallBack = () => {\n if (this._config.pause !== 'hover') {\n return;\n }\n\n // If it's a touch-enabled device, mouseenter/leave are fired as\n // part of the mouse compatibility events on first tap - the carousel\n // would stop cycling until user tapped out of it;\n // here, we listen for touchend, explicitly pause the carousel\n // (as if it's the second time we tap on it, mouseenter compat event\n // is NOT fired) and after a timeout (to allow for mouse compatibility\n // events to fire) we explicitly restart cycling\n\n this.pause();\n if (this.touchTimeout) {\n clearTimeout(this.touchTimeout);\n }\n this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval);\n };\n const swipeConfig = {\n leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n endCallback: endCallBack\n };\n this._swipeHelper = new Swipe(this._element, swipeConfig);\n }\n _keydown(event) {\n if (/input|textarea/i.test(event.target.tagName)) {\n return;\n }\n const direction = KEY_TO_DIRECTION[event.key];\n if (direction) {\n event.preventDefault();\n this._slide(this._directionToOrder(direction));\n }\n }\n _getItemIndex(element) {\n return this._getItems().indexOf(element);\n }\n _setActiveIndicatorElement(index) {\n if (!this._indicatorsElement) {\n return;\n }\n const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement);\n activeIndicator.classList.remove(CLASS_NAME_ACTIVE$2);\n activeIndicator.removeAttribute('aria-current');\n const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement);\n if (newActiveIndicator) {\n newActiveIndicator.classList.add(CLASS_NAME_ACTIVE$2);\n newActiveIndicator.setAttribute('aria-current', 'true');\n }\n }\n _updateInterval() {\n const element = this._activeElement || this._getActive();\n if (!element) {\n return;\n }\n const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10);\n this._config.interval = elementInterval || this._config.defaultInterval;\n }\n _slide(order, element = null) {\n if (this._isSliding) {\n return;\n }\n const activeElement = this._getActive();\n const isNext = order === ORDER_NEXT;\n const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap);\n if (nextElement === activeElement) {\n return;\n }\n const nextElementIndex = this._getItemIndex(nextElement);\n const triggerEvent = eventName => {\n return EventHandler.trigger(this._element, eventName, {\n relatedTarget: nextElement,\n direction: this._orderToDirection(order),\n from: this._getItemIndex(activeElement),\n to: nextElementIndex\n });\n };\n const slideEvent = triggerEvent(EVENT_SLIDE);\n if (slideEvent.defaultPrevented) {\n return;\n }\n if (!activeElement || !nextElement) {\n // Some weirdness is happening, so we bail\n // TODO: change tests that use empty divs to avoid this check\n return;\n }\n const isCycling = Boolean(this._interval);\n this.pause();\n this._isSliding = true;\n this._setActiveIndicatorElement(nextElementIndex);\n this._activeElement = nextElement;\n const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END;\n const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV;\n nextElement.classList.add(orderClassName);\n reflow(nextElement);\n activeElement.classList.add(directionalClassName);\n nextElement.classList.add(directionalClassName);\n const completeCallBack = () => {\n nextElement.classList.remove(directionalClassName, orderClassName);\n nextElement.classList.add(CLASS_NAME_ACTIVE$2);\n activeElement.classList.remove(CLASS_NAME_ACTIVE$2, orderClassName, directionalClassName);\n this._isSliding = false;\n triggerEvent(EVENT_SLID);\n };\n this._queueCallback(completeCallBack, activeElement, this._isAnimated());\n if (isCycling) {\n this.cycle();\n }\n }\n _isAnimated() {\n return this._element.classList.contains(CLASS_NAME_SLIDE);\n }\n _getActive() {\n return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element);\n }\n _getItems() {\n return SelectorEngine.find(SELECTOR_ITEM, this._element);\n }\n _clearInterval() {\n if (this._interval) {\n clearInterval(this._interval);\n this._interval = null;\n }\n }\n _directionToOrder(direction) {\n if (isRTL()) {\n return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT;\n }\n return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV;\n }\n _orderToDirection(order) {\n if (isRTL()) {\n return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT;\n }\n return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT;\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Carousel.getOrCreateInstance(this, config);\n if (typeof config === 'number') {\n data.to(config);\n return;\n }\n if (typeof config === 'string') {\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config]();\n }\n });\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$5, SELECTOR_DATA_SLIDE, function (event) {\n const target = SelectorEngine.getElementFromSelector(this);\n if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n return;\n }\n event.preventDefault();\n const carousel = Carousel.getOrCreateInstance(target);\n const slideIndex = this.getAttribute('data-bs-slide-to');\n if (slideIndex) {\n carousel.to(slideIndex);\n carousel._maybeEnableCycle();\n return;\n }\n if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n carousel.next();\n carousel._maybeEnableCycle();\n return;\n }\n carousel.prev();\n carousel._maybeEnableCycle();\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$3, () => {\n const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE);\n for (const carousel of carousels) {\n Carousel.getOrCreateInstance(carousel);\n }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$b = 'collapse';\nconst DATA_KEY$7 = 'bs.collapse';\nconst EVENT_KEY$7 = `.${DATA_KEY$7}`;\nconst DATA_API_KEY$4 = '.data-api';\nconst EVENT_SHOW$6 = `show${EVENT_KEY$7}`;\nconst EVENT_SHOWN$6 = `shown${EVENT_KEY$7}`;\nconst EVENT_HIDE$6 = `hide${EVENT_KEY$7}`;\nconst EVENT_HIDDEN$6 = `hidden${EVENT_KEY$7}`;\nconst EVENT_CLICK_DATA_API$4 = `click${EVENT_KEY$7}${DATA_API_KEY$4}`;\nconst CLASS_NAME_SHOW$7 = 'show';\nconst CLASS_NAME_COLLAPSE = 'collapse';\nconst CLASS_NAME_COLLAPSING = 'collapsing';\nconst CLASS_NAME_COLLAPSED = 'collapsed';\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`;\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal';\nconst WIDTH = 'width';\nconst HEIGHT = 'height';\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing';\nconst SELECTOR_DATA_TOGGLE$4 = '[data-bs-toggle=\"collapse\"]';\nconst Default$a = {\n parent: null,\n toggle: true\n};\nconst DefaultType$a = {\n parent: '(null|element)',\n toggle: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._isTransitioning = false;\n this._triggerArray = [];\n const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE$4);\n for (const elem of toggleList) {\n const selector = SelectorEngine.getSelectorFromElement(elem);\n const filterElement = SelectorEngine.find(selector).filter(foundElement => foundElement === this._element);\n if (selector !== null && filterElement.length) {\n this._triggerArray.push(elem);\n }\n }\n this._initializeChildren();\n if (!this._config.parent) {\n this._addAriaAndCollapsedClass(this._triggerArray, this._isShown());\n }\n if (this._config.toggle) {\n this.toggle();\n }\n }\n\n // Getters\n static get Default() {\n return Default$a;\n }\n static get DefaultType() {\n return DefaultType$a;\n }\n static get NAME() {\n return NAME$b;\n }\n\n // Public\n toggle() {\n if (this._isShown()) {\n this.hide();\n } else {\n this.show();\n }\n }\n show() {\n if (this._isTransitioning || this._isShown()) {\n return;\n }\n let activeChildren = [];\n\n // find active children\n if (this._config.parent) {\n activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES).filter(element => element !== this._element).map(element => Collapse.getOrCreateInstance(element, {\n toggle: false\n }));\n }\n if (activeChildren.length && activeChildren[0]._isTransitioning) {\n return;\n }\n const startEvent = EventHandler.trigger(this._element, EVENT_SHOW$6);\n if (startEvent.defaultPrevented) {\n return;\n }\n for (const activeInstance of activeChildren) {\n activeInstance.hide();\n }\n const dimension = this._getDimension();\n this._element.classList.remove(CLASS_NAME_COLLAPSE);\n this._element.classList.add(CLASS_NAME_COLLAPSING);\n this._element.style[dimension] = 0;\n this._addAriaAndCollapsedClass(this._triggerArray, true);\n this._isTransitioning = true;\n const complete = () => {\n this._isTransitioning = false;\n this._element.classList.remove(CLASS_NAME_COLLAPSING);\n this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n this._element.style[dimension] = '';\n EventHandler.trigger(this._element, EVENT_SHOWN$6);\n };\n const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1);\n const scrollSize = `scroll${capitalizedDimension}`;\n this._queueCallback(complete, this._element, true);\n this._element.style[dimension] = `${this._element[scrollSize]}px`;\n }\n hide() {\n if (this._isTransitioning || !this._isShown()) {\n return;\n }\n const startEvent = EventHandler.trigger(this._element, EVENT_HIDE$6);\n if (startEvent.defaultPrevented) {\n return;\n }\n const dimension = this._getDimension();\n this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`;\n reflow(this._element);\n this._element.classList.add(CLASS_NAME_COLLAPSING);\n this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n for (const trigger of this._triggerArray) {\n const element = SelectorEngine.getElementFromSelector(trigger);\n if (element && !this._isShown(element)) {\n this._addAriaAndCollapsedClass([trigger], false);\n }\n }\n this._isTransitioning = true;\n const complete = () => {\n this._isTransitioning = false;\n this._element.classList.remove(CLASS_NAME_COLLAPSING);\n this._element.classList.add(CLASS_NAME_COLLAPSE);\n EventHandler.trigger(this._element, EVENT_HIDDEN$6);\n };\n this._element.style[dimension] = '';\n this._queueCallback(complete, this._element, true);\n }\n _isShown(element = this._element) {\n return element.classList.contains(CLASS_NAME_SHOW$7);\n }\n\n // Private\n _configAfterMerge(config) {\n config.toggle = Boolean(config.toggle); // Coerce string values\n config.parent = getElement(config.parent);\n return config;\n }\n _getDimension() {\n return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT;\n }\n _initializeChildren() {\n if (!this._config.parent) {\n return;\n }\n const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE$4);\n for (const element of children) {\n const selected = SelectorEngine.getElementFromSelector(element);\n if (selected) {\n this._addAriaAndCollapsedClass([element], this._isShown(selected));\n }\n }\n }\n _getFirstLevelChildren(selector) {\n const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent);\n // remove children if greater depth\n return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element));\n }\n _addAriaAndCollapsedClass(triggerArray, isOpen) {\n if (!triggerArray.length) {\n return;\n }\n for (const element of triggerArray) {\n element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen);\n element.setAttribute('aria-expanded', isOpen);\n }\n }\n\n // Static\n static jQueryInterface(config) {\n const _config = {};\n if (typeof config === 'string' && /show|hide/.test(config)) {\n _config.toggle = false;\n }\n return this.each(function () {\n const data = Collapse.getOrCreateInstance(this, _config);\n if (typeof config === 'string') {\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config]();\n }\n });\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$4, SELECTOR_DATA_TOGGLE$4, function (event) {\n // preventDefault only for elements (which change the URL) not inside the collapsible element\n if (event.target.tagName === 'A' || event.delegateTarget && event.delegateTarget.tagName === 'A') {\n event.preventDefault();\n }\n for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n Collapse.getOrCreateInstance(element, {\n toggle: false\n }).toggle();\n }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$a = 'dropdown';\nconst DATA_KEY$6 = 'bs.dropdown';\nconst EVENT_KEY$6 = `.${DATA_KEY$6}`;\nconst DATA_API_KEY$3 = '.data-api';\nconst ESCAPE_KEY$2 = 'Escape';\nconst TAB_KEY$1 = 'Tab';\nconst ARROW_UP_KEY$1 = 'ArrowUp';\nconst ARROW_DOWN_KEY$1 = 'ArrowDown';\nconst RIGHT_MOUSE_BUTTON = 2; // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE$5 = `hide${EVENT_KEY$6}`;\nconst EVENT_HIDDEN$5 = `hidden${EVENT_KEY$6}`;\nconst EVENT_SHOW$5 = `show${EVENT_KEY$6}`;\nconst EVENT_SHOWN$5 = `shown${EVENT_KEY$6}`;\nconst EVENT_CLICK_DATA_API$3 = `click${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst CLASS_NAME_SHOW$6 = 'show';\nconst CLASS_NAME_DROPUP = 'dropup';\nconst CLASS_NAME_DROPEND = 'dropend';\nconst CLASS_NAME_DROPSTART = 'dropstart';\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center';\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center';\nconst SELECTOR_DATA_TOGGLE$3 = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)';\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE$3}.${CLASS_NAME_SHOW$6}`;\nconst SELECTOR_MENU = '.dropdown-menu';\nconst SELECTOR_NAVBAR = '.navbar';\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav';\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)';\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start';\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end';\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start';\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end';\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start';\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start';\nconst PLACEMENT_TOPCENTER = 'top';\nconst PLACEMENT_BOTTOMCENTER = 'bottom';\nconst Default$9 = {\n autoClose: true,\n boundary: 'clippingParents',\n display: 'dynamic',\n offset: [0, 2],\n popperConfig: null,\n reference: 'toggle'\n};\nconst DefaultType$9 = {\n autoClose: '(boolean|string)',\n boundary: '(string|element)',\n display: 'string',\n offset: '(array|string|function)',\n popperConfig: '(null|object|function)',\n reference: '(string|element|object)'\n};\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._popper = null;\n this._parent = this._element.parentNode; // dropdown wrapper\n // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] || SelectorEngine.prev(this._element, SELECTOR_MENU)[0] || SelectorEngine.findOne(SELECTOR_MENU, this._parent);\n this._inNavbar = this._detectNavbar();\n }\n\n // Getters\n static get Default() {\n return Default$9;\n }\n static get DefaultType() {\n return DefaultType$9;\n }\n static get NAME() {\n return NAME$a;\n }\n\n // Public\n toggle() {\n return this._isShown() ? this.hide() : this.show();\n }\n show() {\n if (isDisabled(this._element) || this._isShown()) {\n return;\n }\n const relatedTarget = {\n relatedTarget: this._element\n };\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$5, relatedTarget);\n if (showEvent.defaultPrevented) {\n return;\n }\n this._createPopper();\n\n // If this is a touch-enabled device we add extra\n // empty mouseover listeners to the body's immediate children;\n // only needed because of broken event delegation on iOS\n // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.on(element, 'mouseover', noop);\n }\n }\n this._element.focus();\n this._element.setAttribute('aria-expanded', true);\n this._menu.classList.add(CLASS_NAME_SHOW$6);\n this._element.classList.add(CLASS_NAME_SHOW$6);\n EventHandler.trigger(this._element, EVENT_SHOWN$5, relatedTarget);\n }\n hide() {\n if (isDisabled(this._element) || !this._isShown()) {\n return;\n }\n const relatedTarget = {\n relatedTarget: this._element\n };\n this._completeHide(relatedTarget);\n }\n dispose() {\n if (this._popper) {\n this._popper.destroy();\n }\n super.dispose();\n }\n update() {\n this._inNavbar = this._detectNavbar();\n if (this._popper) {\n this._popper.update();\n }\n }\n\n // Private\n _completeHide(relatedTarget) {\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$5, relatedTarget);\n if (hideEvent.defaultPrevented) {\n return;\n }\n\n // If this is a touch-enabled device we remove the extra\n // empty mouseover listeners we added for iOS support\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.off(element, 'mouseover', noop);\n }\n }\n if (this._popper) {\n this._popper.destroy();\n }\n this._menu.classList.remove(CLASS_NAME_SHOW$6);\n this._element.classList.remove(CLASS_NAME_SHOW$6);\n this._element.setAttribute('aria-expanded', 'false');\n Manipulator.removeDataAttribute(this._menu, 'popper');\n EventHandler.trigger(this._element, EVENT_HIDDEN$5, relatedTarget);\n }\n _getConfig(config) {\n config = super._getConfig(config);\n if (typeof config.reference === 'object' && !isElement(config.reference) && typeof config.reference.getBoundingClientRect !== 'function') {\n // Popper virtual elements require a getBoundingClientRect method\n throw new TypeError(`${NAME$a.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`);\n }\n return config;\n }\n _createPopper() {\n if (typeof Popper === 'undefined') {\n throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)');\n }\n let referenceElement = this._element;\n if (this._config.reference === 'parent') {\n referenceElement = this._parent;\n } else if (isElement(this._config.reference)) {\n referenceElement = getElement(this._config.reference);\n } else if (typeof this._config.reference === 'object') {\n referenceElement = this._config.reference;\n }\n const popperConfig = this._getPopperConfig();\n this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig);\n }\n _isShown() {\n return this._menu.classList.contains(CLASS_NAME_SHOW$6);\n }\n _getPlacement() {\n const parentDropdown = this._parent;\n if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n return PLACEMENT_RIGHT;\n }\n if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n return PLACEMENT_LEFT;\n }\n if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n return PLACEMENT_TOPCENTER;\n }\n if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n return PLACEMENT_BOTTOMCENTER;\n }\n\n // We need to trim the value because custom properties can also include spaces\n const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end';\n if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP;\n }\n return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM;\n }\n _detectNavbar() {\n return this._element.closest(SELECTOR_NAVBAR) !== null;\n }\n _getOffset() {\n const {\n offset\n } = this._config;\n if (typeof offset === 'string') {\n return offset.split(',').map(value => Number.parseInt(value, 10));\n }\n if (typeof offset === 'function') {\n return popperData => offset(popperData, this._element);\n }\n return offset;\n }\n _getPopperConfig() {\n const defaultBsPopperConfig = {\n placement: this._getPlacement(),\n modifiers: [{\n name: 'preventOverflow',\n options: {\n boundary: this._config.boundary\n }\n }, {\n name: 'offset',\n options: {\n offset: this._getOffset()\n }\n }]\n };\n\n // Disable Popper if we have a static display or Dropdown is in Navbar\n if (this._inNavbar || this._config.display === 'static') {\n Manipulator.setDataAttribute(this._menu, 'popper', 'static'); // TODO: v6 remove\n defaultBsPopperConfig.modifiers = [{\n name: 'applyStyles',\n enabled: false\n }];\n }\n return {\n ...defaultBsPopperConfig,\n ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n };\n }\n _selectMenuItem({\n key,\n target\n }) {\n const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element));\n if (!items.length) {\n return;\n }\n\n // if target isn't included in items (e.g. when expanding the dropdown)\n // allow cycling to get the last item in case key equals ARROW_UP_KEY\n getNextActiveElement(items, target, key === ARROW_DOWN_KEY$1, !items.includes(target)).focus();\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Dropdown.getOrCreateInstance(this, config);\n if (typeof config !== 'string') {\n return;\n }\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config]();\n });\n }\n static clearMenus(event) {\n if (event.button === RIGHT_MOUSE_BUTTON || event.type === 'keyup' && event.key !== TAB_KEY$1) {\n return;\n }\n const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN);\n for (const toggle of openToggles) {\n const context = Dropdown.getInstance(toggle);\n if (!context || context._config.autoClose === false) {\n continue;\n }\n const composedPath = event.composedPath();\n const isMenuTarget = composedPath.includes(context._menu);\n if (composedPath.includes(context._element) || context._config.autoClose === 'inside' && !isMenuTarget || context._config.autoClose === 'outside' && isMenuTarget) {\n continue;\n }\n\n // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n if (context._menu.contains(event.target) && (event.type === 'keyup' && event.key === TAB_KEY$1 || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n continue;\n }\n const relatedTarget = {\n relatedTarget: context._element\n };\n if (event.type === 'click') {\n relatedTarget.clickEvent = event;\n }\n context._completeHide(relatedTarget);\n }\n }\n static dataApiKeydownHandler(event) {\n // If not an UP | DOWN | ESCAPE key => not a dropdown command\n // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n const isInput = /input|textarea/i.test(event.target.tagName);\n const isEscapeEvent = event.key === ESCAPE_KEY$2;\n const isUpOrDownEvent = [ARROW_UP_KEY$1, ARROW_DOWN_KEY$1].includes(event.key);\n if (!isUpOrDownEvent && !isEscapeEvent) {\n return;\n }\n if (isInput && !isEscapeEvent) {\n return;\n }\n event.preventDefault();\n\n // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE$3) ? this : SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.next(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.findOne(SELECTOR_DATA_TOGGLE$3, event.delegateTarget.parentNode);\n const instance = Dropdown.getOrCreateInstance(getToggleButton);\n if (isUpOrDownEvent) {\n event.stopPropagation();\n instance.show();\n instance._selectMenuItem(event);\n return;\n }\n if (instance._isShown()) {\n // else is escape and we check if it is shown\n event.stopPropagation();\n instance.hide();\n getToggleButton.focus();\n }\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE$3, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, SELECTOR_DATA_TOGGLE$3, function (event) {\n event.preventDefault();\n Dropdown.getOrCreateInstance(this).toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$9 = 'backdrop';\nconst CLASS_NAME_FADE$4 = 'fade';\nconst CLASS_NAME_SHOW$5 = 'show';\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME$9}`;\nconst Default$8 = {\n className: 'modal-backdrop',\n clickCallback: null,\n isAnimated: false,\n isVisible: true,\n // if false, we use the backdrop helper without adding any element to the dom\n rootElement: 'body' // give the choice to place backdrop under different elements\n};\nconst DefaultType$8 = {\n className: 'string',\n clickCallback: '(function|null)',\n isAnimated: 'boolean',\n isVisible: 'boolean',\n rootElement: '(element|string)'\n};\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n constructor(config) {\n super();\n this._config = this._getConfig(config);\n this._isAppended = false;\n this._element = null;\n }\n\n // Getters\n static get Default() {\n return Default$8;\n }\n static get DefaultType() {\n return DefaultType$8;\n }\n static get NAME() {\n return NAME$9;\n }\n\n // Public\n show(callback) {\n if (!this._config.isVisible) {\n execute(callback);\n return;\n }\n this._append();\n const element = this._getElement();\n if (this._config.isAnimated) {\n reflow(element);\n }\n element.classList.add(CLASS_NAME_SHOW$5);\n this._emulateAnimation(() => {\n execute(callback);\n });\n }\n hide(callback) {\n if (!this._config.isVisible) {\n execute(callback);\n return;\n }\n this._getElement().classList.remove(CLASS_NAME_SHOW$5);\n this._emulateAnimation(() => {\n this.dispose();\n execute(callback);\n });\n }\n dispose() {\n if (!this._isAppended) {\n return;\n }\n EventHandler.off(this._element, EVENT_MOUSEDOWN);\n this._element.remove();\n this._isAppended = false;\n }\n\n // Private\n _getElement() {\n if (!this._element) {\n const backdrop = document.createElement('div');\n backdrop.className = this._config.className;\n if (this._config.isAnimated) {\n backdrop.classList.add(CLASS_NAME_FADE$4);\n }\n this._element = backdrop;\n }\n return this._element;\n }\n _configAfterMerge(config) {\n // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n config.rootElement = getElement(config.rootElement);\n return config;\n }\n _append() {\n if (this._isAppended) {\n return;\n }\n const element = this._getElement();\n this._config.rootElement.append(element);\n EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n execute(this._config.clickCallback);\n });\n this._isAppended = true;\n }\n _emulateAnimation(callback) {\n executeAfterTransition(callback, this._getElement(), this._config.isAnimated);\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$8 = 'focustrap';\nconst DATA_KEY$5 = 'bs.focustrap';\nconst EVENT_KEY$5 = `.${DATA_KEY$5}`;\nconst EVENT_FOCUSIN$2 = `focusin${EVENT_KEY$5}`;\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY$5}`;\nconst TAB_KEY = 'Tab';\nconst TAB_NAV_FORWARD = 'forward';\nconst TAB_NAV_BACKWARD = 'backward';\nconst Default$7 = {\n autofocus: true,\n trapElement: null // The element to trap focus inside of\n};\nconst DefaultType$7 = {\n autofocus: 'boolean',\n trapElement: 'element'\n};\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n constructor(config) {\n super();\n this._config = this._getConfig(config);\n this._isActive = false;\n this._lastTabNavDirection = null;\n }\n\n // Getters\n static get Default() {\n return Default$7;\n }\n static get DefaultType() {\n return DefaultType$7;\n }\n static get NAME() {\n return NAME$8;\n }\n\n // Public\n activate() {\n if (this._isActive) {\n return;\n }\n if (this._config.autofocus) {\n this._config.trapElement.focus();\n }\n EventHandler.off(document, EVENT_KEY$5); // guard against infinite focus loop\n EventHandler.on(document, EVENT_FOCUSIN$2, event => this._handleFocusin(event));\n EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event));\n this._isActive = true;\n }\n deactivate() {\n if (!this._isActive) {\n return;\n }\n this._isActive = false;\n EventHandler.off(document, EVENT_KEY$5);\n }\n\n // Private\n _handleFocusin(event) {\n const {\n trapElement\n } = this._config;\n if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n return;\n }\n const elements = SelectorEngine.focusableChildren(trapElement);\n if (elements.length === 0) {\n trapElement.focus();\n } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n elements[elements.length - 1].focus();\n } else {\n elements[0].focus();\n }\n }\n _handleKeydown(event) {\n if (event.key !== TAB_KEY) {\n return;\n }\n this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD;\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top';\nconst SELECTOR_STICKY_CONTENT = '.sticky-top';\nconst PROPERTY_PADDING = 'padding-right';\nconst PROPERTY_MARGIN = 'margin-right';\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n constructor() {\n this._element = document.body;\n }\n\n // Public\n getWidth() {\n // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n const documentWidth = document.documentElement.clientWidth;\n return Math.abs(window.innerWidth - documentWidth);\n }\n hide() {\n const width = this.getWidth();\n this._disableOverFlow();\n // give padding to element to balance the hidden scrollbar width\n this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width);\n }\n reset() {\n this._resetElementAttributes(this._element, 'overflow');\n this._resetElementAttributes(this._element, PROPERTY_PADDING);\n this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING);\n this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN);\n }\n isOverflowing() {\n return this.getWidth() > 0;\n }\n\n // Private\n _disableOverFlow() {\n this._saveInitialAttribute(this._element, 'overflow');\n this._element.style.overflow = 'hidden';\n }\n _setElementAttributes(selector, styleProperty, callback) {\n const scrollbarWidth = this.getWidth();\n const manipulationCallBack = element => {\n if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n return;\n }\n this._saveInitialAttribute(element, styleProperty);\n const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty);\n element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`);\n };\n this._applyManipulationCallback(selector, manipulationCallBack);\n }\n _saveInitialAttribute(element, styleProperty) {\n const actualValue = element.style.getPropertyValue(styleProperty);\n if (actualValue) {\n Manipulator.setDataAttribute(element, styleProperty, actualValue);\n }\n }\n _resetElementAttributes(selector, styleProperty) {\n const manipulationCallBack = element => {\n const value = Manipulator.getDataAttribute(element, styleProperty);\n // We only want to remove the property if the value is `null`; the value can also be zero\n if (value === null) {\n element.style.removeProperty(styleProperty);\n return;\n }\n Manipulator.removeDataAttribute(element, styleProperty);\n element.style.setProperty(styleProperty, value);\n };\n this._applyManipulationCallback(selector, manipulationCallBack);\n }\n _applyManipulationCallback(selector, callBack) {\n if (isElement(selector)) {\n callBack(selector);\n return;\n }\n for (const sel of SelectorEngine.find(selector, this._element)) {\n callBack(sel);\n }\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$7 = 'modal';\nconst DATA_KEY$4 = 'bs.modal';\nconst EVENT_KEY$4 = `.${DATA_KEY$4}`;\nconst DATA_API_KEY$2 = '.data-api';\nconst ESCAPE_KEY$1 = 'Escape';\nconst EVENT_HIDE$4 = `hide${EVENT_KEY$4}`;\nconst EVENT_HIDE_PREVENTED$1 = `hidePrevented${EVENT_KEY$4}`;\nconst EVENT_HIDDEN$4 = `hidden${EVENT_KEY$4}`;\nconst EVENT_SHOW$4 = `show${EVENT_KEY$4}`;\nconst EVENT_SHOWN$4 = `shown${EVENT_KEY$4}`;\nconst EVENT_RESIZE$1 = `resize${EVENT_KEY$4}`;\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY$4}`;\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY$4}`;\nconst EVENT_KEYDOWN_DISMISS$1 = `keydown.dismiss${EVENT_KEY$4}`;\nconst EVENT_CLICK_DATA_API$2 = `click${EVENT_KEY$4}${DATA_API_KEY$2}`;\nconst CLASS_NAME_OPEN = 'modal-open';\nconst CLASS_NAME_FADE$3 = 'fade';\nconst CLASS_NAME_SHOW$4 = 'show';\nconst CLASS_NAME_STATIC = 'modal-static';\nconst OPEN_SELECTOR$1 = '.modal.show';\nconst SELECTOR_DIALOG = '.modal-dialog';\nconst SELECTOR_MODAL_BODY = '.modal-body';\nconst SELECTOR_DATA_TOGGLE$2 = '[data-bs-toggle=\"modal\"]';\nconst Default$6 = {\n backdrop: true,\n focus: true,\n keyboard: true\n};\nconst DefaultType$6 = {\n backdrop: '(boolean|string)',\n focus: 'boolean',\n keyboard: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element);\n this._backdrop = this._initializeBackDrop();\n this._focustrap = this._initializeFocusTrap();\n this._isShown = false;\n this._isTransitioning = false;\n this._scrollBar = new ScrollBarHelper();\n this._addEventListeners();\n }\n\n // Getters\n static get Default() {\n return Default$6;\n }\n static get DefaultType() {\n return DefaultType$6;\n }\n static get NAME() {\n return NAME$7;\n }\n\n // Public\n toggle(relatedTarget) {\n return this._isShown ? this.hide() : this.show(relatedTarget);\n }\n show(relatedTarget) {\n if (this._isShown || this._isTransitioning) {\n return;\n }\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$4, {\n relatedTarget\n });\n if (showEvent.defaultPrevented) {\n return;\n }\n this._isShown = true;\n this._isTransitioning = true;\n this._scrollBar.hide();\n document.body.classList.add(CLASS_NAME_OPEN);\n this._adjustDialog();\n this._backdrop.show(() => this._showElement(relatedTarget));\n }\n hide() {\n if (!this._isShown || this._isTransitioning) {\n return;\n }\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$4);\n if (hideEvent.defaultPrevented) {\n return;\n }\n this._isShown = false;\n this._isTransitioning = true;\n this._focustrap.deactivate();\n this._element.classList.remove(CLASS_NAME_SHOW$4);\n this._queueCallback(() => this._hideModal(), this._element, this._isAnimated());\n }\n dispose() {\n EventHandler.off(window, EVENT_KEY$4);\n EventHandler.off(this._dialog, EVENT_KEY$4);\n this._backdrop.dispose();\n this._focustrap.deactivate();\n super.dispose();\n }\n handleUpdate() {\n this._adjustDialog();\n }\n\n // Private\n _initializeBackDrop() {\n return new Backdrop({\n isVisible: Boolean(this._config.backdrop),\n // 'static' option will be translated to true, and booleans will keep their value,\n isAnimated: this._isAnimated()\n });\n }\n _initializeFocusTrap() {\n return new FocusTrap({\n trapElement: this._element\n });\n }\n _showElement(relatedTarget) {\n // try to append dynamic modal\n if (!document.body.contains(this._element)) {\n document.body.append(this._element);\n }\n this._element.style.display = 'block';\n this._element.removeAttribute('aria-hidden');\n this._element.setAttribute('aria-modal', true);\n this._element.setAttribute('role', 'dialog');\n this._element.scrollTop = 0;\n const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog);\n if (modalBody) {\n modalBody.scrollTop = 0;\n }\n reflow(this._element);\n this._element.classList.add(CLASS_NAME_SHOW$4);\n const transitionComplete = () => {\n if (this._config.focus) {\n this._focustrap.activate();\n }\n this._isTransitioning = false;\n EventHandler.trigger(this._element, EVENT_SHOWN$4, {\n relatedTarget\n });\n };\n this._queueCallback(transitionComplete, this._dialog, this._isAnimated());\n }\n _addEventListeners() {\n EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS$1, event => {\n if (event.key !== ESCAPE_KEY$1) {\n return;\n }\n if (this._config.keyboard) {\n this.hide();\n return;\n }\n this._triggerBackdropTransition();\n });\n EventHandler.on(window, EVENT_RESIZE$1, () => {\n if (this._isShown && !this._isTransitioning) {\n this._adjustDialog();\n }\n });\n EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n if (this._element !== event.target || this._element !== event2.target) {\n return;\n }\n if (this._config.backdrop === 'static') {\n this._triggerBackdropTransition();\n return;\n }\n if (this._config.backdrop) {\n this.hide();\n }\n });\n });\n }\n _hideModal() {\n this._element.style.display = 'none';\n this._element.setAttribute('aria-hidden', true);\n this._element.removeAttribute('aria-modal');\n this._element.removeAttribute('role');\n this._isTransitioning = false;\n this._backdrop.hide(() => {\n document.body.classList.remove(CLASS_NAME_OPEN);\n this._resetAdjustments();\n this._scrollBar.reset();\n EventHandler.trigger(this._element, EVENT_HIDDEN$4);\n });\n }\n _isAnimated() {\n return this._element.classList.contains(CLASS_NAME_FADE$3);\n }\n _triggerBackdropTransition() {\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED$1);\n if (hideEvent.defaultPrevented) {\n return;\n }\n const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n const initialOverflowY = this._element.style.overflowY;\n // return if the following background transition hasn't yet completed\n if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n return;\n }\n if (!isModalOverflowing) {\n this._element.style.overflowY = 'hidden';\n }\n this._element.classList.add(CLASS_NAME_STATIC);\n this._queueCallback(() => {\n this._element.classList.remove(CLASS_NAME_STATIC);\n this._queueCallback(() => {\n this._element.style.overflowY = initialOverflowY;\n }, this._dialog);\n }, this._dialog);\n this._element.focus();\n }\n\n /**\n * The following methods are used to handle overflowing modals\n */\n\n _adjustDialog() {\n const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n const scrollbarWidth = this._scrollBar.getWidth();\n const isBodyOverflowing = scrollbarWidth > 0;\n if (isBodyOverflowing && !isModalOverflowing) {\n const property = isRTL() ? 'paddingLeft' : 'paddingRight';\n this._element.style[property] = `${scrollbarWidth}px`;\n }\n if (!isBodyOverflowing && isModalOverflowing) {\n const property = isRTL() ? 'paddingRight' : 'paddingLeft';\n this._element.style[property] = `${scrollbarWidth}px`;\n }\n }\n _resetAdjustments() {\n this._element.style.paddingLeft = '';\n this._element.style.paddingRight = '';\n }\n\n // Static\n static jQueryInterface(config, relatedTarget) {\n return this.each(function () {\n const data = Modal.getOrCreateInstance(this, config);\n if (typeof config !== 'string') {\n return;\n }\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config](relatedTarget);\n });\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$2, SELECTOR_DATA_TOGGLE$2, function (event) {\n const target = SelectorEngine.getElementFromSelector(this);\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault();\n }\n EventHandler.one(target, EVENT_SHOW$4, showEvent => {\n if (showEvent.defaultPrevented) {\n // only register focus restorer if modal will actually get shown\n return;\n }\n EventHandler.one(target, EVENT_HIDDEN$4, () => {\n if (isVisible(this)) {\n this.focus();\n }\n });\n });\n\n // avoid conflict when clicking modal toggler while another one is open\n const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR$1);\n if (alreadyOpen) {\n Modal.getInstance(alreadyOpen).hide();\n }\n const data = Modal.getOrCreateInstance(target);\n data.toggle(this);\n});\nenableDismissTrigger(Modal);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$6 = 'offcanvas';\nconst DATA_KEY$3 = 'bs.offcanvas';\nconst EVENT_KEY$3 = `.${DATA_KEY$3}`;\nconst DATA_API_KEY$1 = '.data-api';\nconst EVENT_LOAD_DATA_API$2 = `load${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst ESCAPE_KEY = 'Escape';\nconst CLASS_NAME_SHOW$3 = 'show';\nconst CLASS_NAME_SHOWING$1 = 'showing';\nconst CLASS_NAME_HIDING = 'hiding';\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop';\nconst OPEN_SELECTOR = '.offcanvas.show';\nconst EVENT_SHOW$3 = `show${EVENT_KEY$3}`;\nconst EVENT_SHOWN$3 = `shown${EVENT_KEY$3}`;\nconst EVENT_HIDE$3 = `hide${EVENT_KEY$3}`;\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY$3}`;\nconst EVENT_HIDDEN$3 = `hidden${EVENT_KEY$3}`;\nconst EVENT_RESIZE = `resize${EVENT_KEY$3}`;\nconst EVENT_CLICK_DATA_API$1 = `click${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY$3}`;\nconst SELECTOR_DATA_TOGGLE$1 = '[data-bs-toggle=\"offcanvas\"]';\nconst Default$5 = {\n backdrop: true,\n keyboard: true,\n scroll: false\n};\nconst DefaultType$5 = {\n backdrop: '(boolean|string)',\n keyboard: 'boolean',\n scroll: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._isShown = false;\n this._backdrop = this._initializeBackDrop();\n this._focustrap = this._initializeFocusTrap();\n this._addEventListeners();\n }\n\n // Getters\n static get Default() {\n return Default$5;\n }\n static get DefaultType() {\n return DefaultType$5;\n }\n static get NAME() {\n return NAME$6;\n }\n\n // Public\n toggle(relatedTarget) {\n return this._isShown ? this.hide() : this.show(relatedTarget);\n }\n show(relatedTarget) {\n if (this._isShown) {\n return;\n }\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$3, {\n relatedTarget\n });\n if (showEvent.defaultPrevented) {\n return;\n }\n this._isShown = true;\n this._backdrop.show();\n if (!this._config.scroll) {\n new ScrollBarHelper().hide();\n }\n this._element.setAttribute('aria-modal', true);\n this._element.setAttribute('role', 'dialog');\n this._element.classList.add(CLASS_NAME_SHOWING$1);\n const completeCallBack = () => {\n if (!this._config.scroll || this._config.backdrop) {\n this._focustrap.activate();\n }\n this._element.classList.add(CLASS_NAME_SHOW$3);\n this._element.classList.remove(CLASS_NAME_SHOWING$1);\n EventHandler.trigger(this._element, EVENT_SHOWN$3, {\n relatedTarget\n });\n };\n this._queueCallback(completeCallBack, this._element, true);\n }\n hide() {\n if (!this._isShown) {\n return;\n }\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$3);\n if (hideEvent.defaultPrevented) {\n return;\n }\n this._focustrap.deactivate();\n this._element.blur();\n this._isShown = false;\n this._element.classList.add(CLASS_NAME_HIDING);\n this._backdrop.hide();\n const completeCallback = () => {\n this._element.classList.remove(CLASS_NAME_SHOW$3, CLASS_NAME_HIDING);\n this._element.removeAttribute('aria-modal');\n this._element.removeAttribute('role');\n if (!this._config.scroll) {\n new ScrollBarHelper().reset();\n }\n EventHandler.trigger(this._element, EVENT_HIDDEN$3);\n };\n this._queueCallback(completeCallback, this._element, true);\n }\n dispose() {\n this._backdrop.dispose();\n this._focustrap.deactivate();\n super.dispose();\n }\n\n // Private\n _initializeBackDrop() {\n const clickCallback = () => {\n if (this._config.backdrop === 'static') {\n EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n return;\n }\n this.hide();\n };\n\n // 'static' option will be translated to true, and booleans will keep their value\n const isVisible = Boolean(this._config.backdrop);\n return new Backdrop({\n className: CLASS_NAME_BACKDROP,\n isVisible,\n isAnimated: true,\n rootElement: this._element.parentNode,\n clickCallback: isVisible ? clickCallback : null\n });\n }\n _initializeFocusTrap() {\n return new FocusTrap({\n trapElement: this._element\n });\n }\n _addEventListeners() {\n EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n if (event.key !== ESCAPE_KEY) {\n return;\n }\n if (this._config.keyboard) {\n this.hide();\n return;\n }\n EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n });\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Offcanvas.getOrCreateInstance(this, config);\n if (typeof config !== 'string') {\n return;\n }\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config](this);\n });\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$1, SELECTOR_DATA_TOGGLE$1, function (event) {\n const target = SelectorEngine.getElementFromSelector(this);\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault();\n }\n if (isDisabled(this)) {\n return;\n }\n EventHandler.one(target, EVENT_HIDDEN$3, () => {\n // focus on trigger when it is closed\n if (isVisible(this)) {\n this.focus();\n }\n });\n\n // avoid conflict when clicking a toggler of an offcanvas, while another is open\n const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR);\n if (alreadyOpen && alreadyOpen !== target) {\n Offcanvas.getInstance(alreadyOpen).hide();\n }\n const data = Offcanvas.getOrCreateInstance(target);\n data.toggle(this);\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$2, () => {\n for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n Offcanvas.getOrCreateInstance(selector).show();\n }\n});\nEventHandler.on(window, EVENT_RESIZE, () => {\n for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n if (getComputedStyle(element).position !== 'fixed') {\n Offcanvas.getOrCreateInstance(element).hide();\n }\n }\n});\nenableDismissTrigger(Offcanvas);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i;\nconst DefaultAllowlist = {\n // Global attributes allowed on any supplied element below.\n '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n a: ['target', 'href', 'title', 'rel'],\n area: [],\n b: [],\n br: [],\n col: [],\n code: [],\n dd: [],\n div: [],\n dl: [],\n dt: [],\n em: [],\n hr: [],\n h1: [],\n h2: [],\n h3: [],\n h4: [],\n h5: [],\n h6: [],\n i: [],\n img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n li: [],\n ol: [],\n p: [],\n pre: [],\n s: [],\n small: [],\n span: [],\n sub: [],\n sup: [],\n strong: [],\n u: [],\n ul: []\n};\n// js-docs-end allow-list\n\nconst uriAttributes = new Set(['background', 'cite', 'href', 'itemtype', 'longdesc', 'poster', 'src', 'xlink:href']);\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i;\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n const attributeName = attribute.nodeName.toLowerCase();\n if (allowedAttributeList.includes(attributeName)) {\n if (uriAttributes.has(attributeName)) {\n return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue));\n }\n return true;\n }\n\n // Check if a regular expression validates the attribute.\n return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp).some(regex => regex.test(attributeName));\n};\nfunction sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n if (!unsafeHtml.length) {\n return unsafeHtml;\n }\n if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n return sanitizeFunction(unsafeHtml);\n }\n const domParser = new window.DOMParser();\n const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html');\n const elements = [].concat(...createdDocument.body.querySelectorAll('*'));\n for (const element of elements) {\n const elementName = element.nodeName.toLowerCase();\n if (!Object.keys(allowList).includes(elementName)) {\n element.remove();\n continue;\n }\n const attributeList = [].concat(...element.attributes);\n const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || []);\n for (const attribute of attributeList) {\n if (!allowedAttribute(attribute, allowedAttributes)) {\n element.removeAttribute(attribute.nodeName);\n }\n }\n }\n return createdDocument.body.innerHTML;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$5 = 'TemplateFactory';\nconst Default$4 = {\n allowList: DefaultAllowlist,\n content: {},\n // { selector : text , selector2 : text2 , }\n extraClass: '',\n html: false,\n sanitize: true,\n sanitizeFn: null,\n template: '
'\n};\nconst DefaultType$4 = {\n allowList: 'object',\n content: 'object',\n extraClass: '(string|function)',\n html: 'boolean',\n sanitize: 'boolean',\n sanitizeFn: '(null|function)',\n template: 'string'\n};\nconst DefaultContentType = {\n entry: '(string|element|function|null)',\n selector: '(string|element)'\n};\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n constructor(config) {\n super();\n this._config = this._getConfig(config);\n }\n\n // Getters\n static get Default() {\n return Default$4;\n }\n static get DefaultType() {\n return DefaultType$4;\n }\n static get NAME() {\n return NAME$5;\n }\n\n // Public\n getContent() {\n return Object.values(this._config.content).map(config => this._resolvePossibleFunction(config)).filter(Boolean);\n }\n hasContent() {\n return this.getContent().length > 0;\n }\n changeContent(content) {\n this._checkContent(content);\n this._config.content = {\n ...this._config.content,\n ...content\n };\n return this;\n }\n toHtml() {\n const templateWrapper = document.createElement('div');\n templateWrapper.innerHTML = this._maybeSanitize(this._config.template);\n for (const [selector, text] of Object.entries(this._config.content)) {\n this._setContent(templateWrapper, text, selector);\n }\n const template = templateWrapper.children[0];\n const extraClass = this._resolvePossibleFunction(this._config.extraClass);\n if (extraClass) {\n template.classList.add(...extraClass.split(' '));\n }\n return template;\n }\n\n // Private\n _typeCheckConfig(config) {\n super._typeCheckConfig(config);\n this._checkContent(config.content);\n }\n _checkContent(arg) {\n for (const [selector, content] of Object.entries(arg)) {\n super._typeCheckConfig({\n selector,\n entry: content\n }, DefaultContentType);\n }\n }\n _setContent(template, content, selector) {\n const templateElement = SelectorEngine.findOne(selector, template);\n if (!templateElement) {\n return;\n }\n content = this._resolvePossibleFunction(content);\n if (!content) {\n templateElement.remove();\n return;\n }\n if (isElement(content)) {\n this._putElementInTemplate(getElement(content), templateElement);\n return;\n }\n if (this._config.html) {\n templateElement.innerHTML = this._maybeSanitize(content);\n return;\n }\n templateElement.textContent = content;\n }\n _maybeSanitize(arg) {\n return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg;\n }\n _resolvePossibleFunction(arg) {\n return execute(arg, [this]);\n }\n _putElementInTemplate(element, templateElement) {\n if (this._config.html) {\n templateElement.innerHTML = '';\n templateElement.append(element);\n return;\n }\n templateElement.textContent = element.textContent;\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$4 = 'tooltip';\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn']);\nconst CLASS_NAME_FADE$2 = 'fade';\nconst CLASS_NAME_MODAL = 'modal';\nconst CLASS_NAME_SHOW$2 = 'show';\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner';\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`;\nconst EVENT_MODAL_HIDE = 'hide.bs.modal';\nconst TRIGGER_HOVER = 'hover';\nconst TRIGGER_FOCUS = 'focus';\nconst TRIGGER_CLICK = 'click';\nconst TRIGGER_MANUAL = 'manual';\nconst EVENT_HIDE$2 = 'hide';\nconst EVENT_HIDDEN$2 = 'hidden';\nconst EVENT_SHOW$2 = 'show';\nconst EVENT_SHOWN$2 = 'shown';\nconst EVENT_INSERTED = 'inserted';\nconst EVENT_CLICK$1 = 'click';\nconst EVENT_FOCUSIN$1 = 'focusin';\nconst EVENT_FOCUSOUT$1 = 'focusout';\nconst EVENT_MOUSEENTER = 'mouseenter';\nconst EVENT_MOUSELEAVE = 'mouseleave';\nconst AttachmentMap = {\n AUTO: 'auto',\n TOP: 'top',\n RIGHT: isRTL() ? 'left' : 'right',\n BOTTOM: 'bottom',\n LEFT: isRTL() ? 'right' : 'left'\n};\nconst Default$3 = {\n allowList: DefaultAllowlist,\n animation: true,\n boundary: 'clippingParents',\n container: false,\n customClass: '',\n delay: 0,\n fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n html: false,\n offset: [0, 6],\n placement: 'top',\n popperConfig: null,\n sanitize: true,\n sanitizeFn: null,\n selector: false,\n template: '
' + '
' + '
' + '
',\n title: '',\n trigger: 'hover focus'\n};\nconst DefaultType$3 = {\n allowList: 'object',\n animation: 'boolean',\n boundary: '(string|element)',\n container: '(string|element|boolean)',\n customClass: '(string|function)',\n delay: '(number|object)',\n fallbackPlacements: 'array',\n html: 'boolean',\n offset: '(array|string|function)',\n placement: '(string|function)',\n popperConfig: '(null|object|function)',\n sanitize: 'boolean',\n sanitizeFn: '(null|function)',\n selector: '(string|boolean)',\n template: 'string',\n title: '(string|element|function)',\n trigger: 'string'\n};\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n constructor(element, config) {\n if (typeof Popper === 'undefined') {\n throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)');\n }\n super(element, config);\n\n // Private\n this._isEnabled = true;\n this._timeout = 0;\n this._isHovered = null;\n this._activeTrigger = {};\n this._popper = null;\n this._templateFactory = null;\n this._newContent = null;\n\n // Protected\n this.tip = null;\n this._setListeners();\n if (!this._config.selector) {\n this._fixTitle();\n }\n }\n\n // Getters\n static get Default() {\n return Default$3;\n }\n static get DefaultType() {\n return DefaultType$3;\n }\n static get NAME() {\n return NAME$4;\n }\n\n // Public\n enable() {\n this._isEnabled = true;\n }\n disable() {\n this._isEnabled = false;\n }\n toggleEnabled() {\n this._isEnabled = !this._isEnabled;\n }\n toggle() {\n if (!this._isEnabled) {\n return;\n }\n this._activeTrigger.click = !this._activeTrigger.click;\n if (this._isShown()) {\n this._leave();\n return;\n }\n this._enter();\n }\n dispose() {\n clearTimeout(this._timeout);\n EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n if (this._element.getAttribute('data-bs-original-title')) {\n this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'));\n }\n this._disposePopper();\n super.dispose();\n }\n show() {\n if (this._element.style.display === 'none') {\n throw new Error('Please use show on visible elements');\n }\n if (!(this._isWithContent() && this._isEnabled)) {\n return;\n }\n const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW$2));\n const shadowRoot = findShadowRoot(this._element);\n const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element);\n if (showEvent.defaultPrevented || !isInTheDom) {\n return;\n }\n\n // TODO: v6 remove this or make it optional\n this._disposePopper();\n const tip = this._getTipElement();\n this._element.setAttribute('aria-describedby', tip.getAttribute('id'));\n const {\n container\n } = this._config;\n if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n container.append(tip);\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED));\n }\n this._popper = this._createPopper(tip);\n tip.classList.add(CLASS_NAME_SHOW$2);\n\n // If this is a touch-enabled device we add extra\n // empty mouseover listeners to the body's immediate children;\n // only needed because of broken event delegation on iOS\n // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.on(element, 'mouseover', noop);\n }\n }\n const complete = () => {\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN$2));\n if (this._isHovered === false) {\n this._leave();\n }\n this._isHovered = false;\n };\n this._queueCallback(complete, this.tip, this._isAnimated());\n }\n hide() {\n if (!this._isShown()) {\n return;\n }\n const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE$2));\n if (hideEvent.defaultPrevented) {\n return;\n }\n const tip = this._getTipElement();\n tip.classList.remove(CLASS_NAME_SHOW$2);\n\n // If this is a touch-enabled device we remove the extra\n // empty mouseover listeners we added for iOS support\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.off(element, 'mouseover', noop);\n }\n }\n this._activeTrigger[TRIGGER_CLICK] = false;\n this._activeTrigger[TRIGGER_FOCUS] = false;\n this._activeTrigger[TRIGGER_HOVER] = false;\n this._isHovered = null; // it is a trick to support manual triggering\n\n const complete = () => {\n if (this._isWithActiveTrigger()) {\n return;\n }\n if (!this._isHovered) {\n this._disposePopper();\n }\n this._element.removeAttribute('aria-describedby');\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN$2));\n };\n this._queueCallback(complete, this.tip, this._isAnimated());\n }\n update() {\n if (this._popper) {\n this._popper.update();\n }\n }\n\n // Protected\n _isWithContent() {\n return Boolean(this._getTitle());\n }\n _getTipElement() {\n if (!this.tip) {\n this.tip = this._createTipElement(this._newContent || this._getContentForTemplate());\n }\n return this.tip;\n }\n _createTipElement(content) {\n const tip = this._getTemplateFactory(content).toHtml();\n\n // TODO: remove this check in v6\n if (!tip) {\n return null;\n }\n tip.classList.remove(CLASS_NAME_FADE$2, CLASS_NAME_SHOW$2);\n // TODO: v6 the following can be achieved with CSS only\n tip.classList.add(`bs-${this.constructor.NAME}-auto`);\n const tipId = getUID(this.constructor.NAME).toString();\n tip.setAttribute('id', tipId);\n if (this._isAnimated()) {\n tip.classList.add(CLASS_NAME_FADE$2);\n }\n return tip;\n }\n setContent(content) {\n this._newContent = content;\n if (this._isShown()) {\n this._disposePopper();\n this.show();\n }\n }\n _getTemplateFactory(content) {\n if (this._templateFactory) {\n this._templateFactory.changeContent(content);\n } else {\n this._templateFactory = new TemplateFactory({\n ...this._config,\n // the `content` var has to be after `this._config`\n // to override config.content in case of popover\n content,\n extraClass: this._resolvePossibleFunction(this._config.customClass)\n });\n }\n return this._templateFactory;\n }\n _getContentForTemplate() {\n return {\n [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n };\n }\n _getTitle() {\n return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title');\n }\n\n // Private\n _initializeOnDelegatedTarget(event) {\n return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig());\n }\n _isAnimated() {\n return this._config.animation || this.tip && this.tip.classList.contains(CLASS_NAME_FADE$2);\n }\n _isShown() {\n return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW$2);\n }\n _createPopper(tip) {\n const placement = execute(this._config.placement, [this, tip, this._element]);\n const attachment = AttachmentMap[placement.toUpperCase()];\n return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment));\n }\n _getOffset() {\n const {\n offset\n } = this._config;\n if (typeof offset === 'string') {\n return offset.split(',').map(value => Number.parseInt(value, 10));\n }\n if (typeof offset === 'function') {\n return popperData => offset(popperData, this._element);\n }\n return offset;\n }\n _resolvePossibleFunction(arg) {\n return execute(arg, [this._element]);\n }\n _getPopperConfig(attachment) {\n const defaultBsPopperConfig = {\n placement: attachment,\n modifiers: [{\n name: 'flip',\n options: {\n fallbackPlacements: this._config.fallbackPlacements\n }\n }, {\n name: 'offset',\n options: {\n offset: this._getOffset()\n }\n }, {\n name: 'preventOverflow',\n options: {\n boundary: this._config.boundary\n }\n }, {\n name: 'arrow',\n options: {\n element: `.${this.constructor.NAME}-arrow`\n }\n }, {\n name: 'preSetPlacement',\n enabled: true,\n phase: 'beforeMain',\n fn: data => {\n // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n this._getTipElement().setAttribute('data-popper-placement', data.state.placement);\n }\n }]\n };\n return {\n ...defaultBsPopperConfig,\n ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n };\n }\n _setListeners() {\n const triggers = this._config.trigger.split(' ');\n for (const trigger of triggers) {\n if (trigger === 'click') {\n EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK$1), this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event);\n context.toggle();\n });\n } else if (trigger !== TRIGGER_MANUAL) {\n const eventIn = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSEENTER) : this.constructor.eventName(EVENT_FOCUSIN$1);\n const eventOut = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSELEAVE) : this.constructor.eventName(EVENT_FOCUSOUT$1);\n EventHandler.on(this._element, eventIn, this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event);\n context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true;\n context._enter();\n });\n EventHandler.on(this._element, eventOut, this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event);\n context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] = context._element.contains(event.relatedTarget);\n context._leave();\n });\n }\n }\n this._hideModalHandler = () => {\n if (this._element) {\n this.hide();\n }\n };\n EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n }\n _fixTitle() {\n const title = this._element.getAttribute('title');\n if (!title) {\n return;\n }\n if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n this._element.setAttribute('aria-label', title);\n }\n this._element.setAttribute('data-bs-original-title', title); // DO NOT USE IT. Is only for backwards compatibility\n this._element.removeAttribute('title');\n }\n _enter() {\n if (this._isShown() || this._isHovered) {\n this._isHovered = true;\n return;\n }\n this._isHovered = true;\n this._setTimeout(() => {\n if (this._isHovered) {\n this.show();\n }\n }, this._config.delay.show);\n }\n _leave() {\n if (this._isWithActiveTrigger()) {\n return;\n }\n this._isHovered = false;\n this._setTimeout(() => {\n if (!this._isHovered) {\n this.hide();\n }\n }, this._config.delay.hide);\n }\n _setTimeout(handler, timeout) {\n clearTimeout(this._timeout);\n this._timeout = setTimeout(handler, timeout);\n }\n _isWithActiveTrigger() {\n return Object.values(this._activeTrigger).includes(true);\n }\n _getConfig(config) {\n const dataAttributes = Manipulator.getDataAttributes(this._element);\n for (const dataAttribute of Object.keys(dataAttributes)) {\n if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n delete dataAttributes[dataAttribute];\n }\n }\n config = {\n ...dataAttributes,\n ...(typeof config === 'object' && config ? config : {})\n };\n config = this._mergeConfigObj(config);\n config = this._configAfterMerge(config);\n this._typeCheckConfig(config);\n return config;\n }\n _configAfterMerge(config) {\n config.container = config.container === false ? document.body : getElement(config.container);\n if (typeof config.delay === 'number') {\n config.delay = {\n show: config.delay,\n hide: config.delay\n };\n }\n if (typeof config.title === 'number') {\n config.title = config.title.toString();\n }\n if (typeof config.content === 'number') {\n config.content = config.content.toString();\n }\n return config;\n }\n _getDelegateConfig() {\n const config = {};\n for (const [key, value] of Object.entries(this._config)) {\n if (this.constructor.Default[key] !== value) {\n config[key] = value;\n }\n }\n config.selector = false;\n config.trigger = 'manual';\n\n // In the future can be replaced with:\n // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n // `Object.fromEntries(keysWithDifferentValues)`\n return config;\n }\n _disposePopper() {\n if (this._popper) {\n this._popper.destroy();\n this._popper = null;\n }\n if (this.tip) {\n this.tip.remove();\n this.tip = null;\n }\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Tooltip.getOrCreateInstance(this, config);\n if (typeof config !== 'string') {\n return;\n }\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config]();\n });\n }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$3 = 'popover';\nconst SELECTOR_TITLE = '.popover-header';\nconst SELECTOR_CONTENT = '.popover-body';\nconst Default$2 = {\n ...Tooltip.Default,\n content: '',\n offset: [0, 8],\n placement: 'right',\n template: '
' + '
' + '

' + '
' + '
',\n trigger: 'click'\n};\nconst DefaultType$2 = {\n ...Tooltip.DefaultType,\n content: '(null|string|element|function)'\n};\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n // Getters\n static get Default() {\n return Default$2;\n }\n static get DefaultType() {\n return DefaultType$2;\n }\n static get NAME() {\n return NAME$3;\n }\n\n // Overrides\n _isWithContent() {\n return this._getTitle() || this._getContent();\n }\n\n // Private\n _getContentForTemplate() {\n return {\n [SELECTOR_TITLE]: this._getTitle(),\n [SELECTOR_CONTENT]: this._getContent()\n };\n }\n _getContent() {\n return this._resolvePossibleFunction(this._config.content);\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Popover.getOrCreateInstance(this, config);\n if (typeof config !== 'string') {\n return;\n }\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config]();\n });\n }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$2 = 'scrollspy';\nconst DATA_KEY$2 = 'bs.scrollspy';\nconst EVENT_KEY$2 = `.${DATA_KEY$2}`;\nconst DATA_API_KEY = '.data-api';\nconst EVENT_ACTIVATE = `activate${EVENT_KEY$2}`;\nconst EVENT_CLICK = `click${EVENT_KEY$2}`;\nconst EVENT_LOAD_DATA_API$1 = `load${EVENT_KEY$2}${DATA_API_KEY}`;\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item';\nconst CLASS_NAME_ACTIVE$1 = 'active';\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]';\nconst SELECTOR_TARGET_LINKS = '[href]';\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group';\nconst SELECTOR_NAV_LINKS = '.nav-link';\nconst SELECTOR_NAV_ITEMS = '.nav-item';\nconst SELECTOR_LIST_ITEMS = '.list-group-item';\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`;\nconst SELECTOR_DROPDOWN = '.dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE$1 = '.dropdown-toggle';\nconst Default$1 = {\n offset: null,\n // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n rootMargin: '0px 0px -25%',\n smoothScroll: false,\n target: null,\n threshold: [0.1, 0.5, 1]\n};\nconst DefaultType$1 = {\n offset: '(number|null)',\n // TODO v6 @deprecated, keep it for backwards compatibility reasons\n rootMargin: 'string',\n smoothScroll: 'boolean',\n target: 'element',\n threshold: 'array'\n};\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n\n // this._element is the observablesContainer and config.target the menu links wrapper\n this._targetLinks = new Map();\n this._observableSections = new Map();\n this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element;\n this._activeTarget = null;\n this._observer = null;\n this._previousScrollData = {\n visibleEntryTop: 0,\n parentScrollTop: 0\n };\n this.refresh(); // initialize\n }\n\n // Getters\n static get Default() {\n return Default$1;\n }\n static get DefaultType() {\n return DefaultType$1;\n }\n static get NAME() {\n return NAME$2;\n }\n\n // Public\n refresh() {\n this._initializeTargetsAndObservables();\n this._maybeEnableSmoothScroll();\n if (this._observer) {\n this._observer.disconnect();\n } else {\n this._observer = this._getNewObserver();\n }\n for (const section of this._observableSections.values()) {\n this._observer.observe(section);\n }\n }\n dispose() {\n this._observer.disconnect();\n super.dispose();\n }\n\n // Private\n _configAfterMerge(config) {\n // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n config.target = getElement(config.target) || document.body;\n\n // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin;\n if (typeof config.threshold === 'string') {\n config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value));\n }\n return config;\n }\n _maybeEnableSmoothScroll() {\n if (!this._config.smoothScroll) {\n return;\n }\n\n // unregister any previous listeners\n EventHandler.off(this._config.target, EVENT_CLICK);\n EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n const observableSection = this._observableSections.get(event.target.hash);\n if (observableSection) {\n event.preventDefault();\n const root = this._rootElement || window;\n const height = observableSection.offsetTop - this._element.offsetTop;\n if (root.scrollTo) {\n root.scrollTo({\n top: height,\n behavior: 'smooth'\n });\n return;\n }\n\n // Chrome 60 doesn't support `scrollTo`\n root.scrollTop = height;\n }\n });\n }\n _getNewObserver() {\n const options = {\n root: this._rootElement,\n threshold: this._config.threshold,\n rootMargin: this._config.rootMargin\n };\n return new IntersectionObserver(entries => this._observerCallback(entries), options);\n }\n\n // The logic of selection\n _observerCallback(entries) {\n const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`);\n const activate = entry => {\n this._previousScrollData.visibleEntryTop = entry.target.offsetTop;\n this._process(targetElement(entry));\n };\n const parentScrollTop = (this._rootElement || document.documentElement).scrollTop;\n const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop;\n this._previousScrollData.parentScrollTop = parentScrollTop;\n for (const entry of entries) {\n if (!entry.isIntersecting) {\n this._activeTarget = null;\n this._clearActiveClass(targetElement(entry));\n continue;\n }\n const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop;\n // if we are scrolling down, pick the bigger offsetTop\n if (userScrollsDown && entryIsLowerThanPrevious) {\n activate(entry);\n // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n if (!parentScrollTop) {\n return;\n }\n continue;\n }\n\n // if we are scrolling up, pick the smallest offsetTop\n if (!userScrollsDown && !entryIsLowerThanPrevious) {\n activate(entry);\n }\n }\n }\n _initializeTargetsAndObservables() {\n this._targetLinks = new Map();\n this._observableSections = new Map();\n const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target);\n for (const anchor of targetLinks) {\n // ensure that the anchor has an id and is not disabled\n if (!anchor.hash || isDisabled(anchor)) {\n continue;\n }\n const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element);\n\n // ensure that the observableSection exists & is visible\n if (isVisible(observableSection)) {\n this._targetLinks.set(decodeURI(anchor.hash), anchor);\n this._observableSections.set(anchor.hash, observableSection);\n }\n }\n }\n _process(target) {\n if (this._activeTarget === target) {\n return;\n }\n this._clearActiveClass(this._config.target);\n this._activeTarget = target;\n target.classList.add(CLASS_NAME_ACTIVE$1);\n this._activateParents(target);\n EventHandler.trigger(this._element, EVENT_ACTIVATE, {\n relatedTarget: target\n });\n }\n _activateParents(target) {\n // Activate dropdown parents\n if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE$1, target.closest(SELECTOR_DROPDOWN)).classList.add(CLASS_NAME_ACTIVE$1);\n return;\n }\n for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n // Set triggered links parents as active\n // With both