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snap_test_exporter.py
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# -*- coding: utf-8 -*-
# snapshottest: v1 - https://goo.gl/zC4yUc
from __future__ import unicode_literals
from snapshottest import Snapshot
snapshots = Snapshot()
snapshots['TestExporterMethods::test_create_cell_from_args_with_multiple_args 1'] = '''
<div class="output_wrapper">
<div class="output">
<div class="output_area">
<div class="prompt"></div>
<div class="output_subarea output_stream output_stdout output_text">
<pre>['gs://ml-pipeline/data.csv', "lambda x: (x['target'] > x['fare'] * 0.2)"]
</pre>
</div>
</div>
</div>
</div>
'''
snapshots['TestExporterMethods::test_create_cell_from_args_with_no_args 1'] = '''
<div class="output_wrapper">
<div class="output">
<div class="output_area">
<div class="prompt"></div>
<div class="output_subarea output_stream output_stdout output_text">
<pre>{}
</pre>
</div>
</div>
</div>
</div>
'''
snapshots['TestExporterMethods::test_create_cell_from_args_with_one_arg 1'] = '''
<div class="output_wrapper">
<div class="output">
<div class="output_area">
<div class="prompt"></div>
<div class="output_subarea output_stream output_stdout output_text">
<pre>['gs://ml-pipeline/data.csv']
</pre>
</div>
</div>
</div>
</div>
'''
snapshots['TestExporterMethods::test_create_cell_from_file 1'] = '''# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import tensorflow_data_validation as tfdv
# The following variables are provided through dependency injection. These
# variables come from the specified input path and arguments provided by the
# API post request.
#
# source
train_stats = tfdv.generate_statistics_from_csv(data_location=source)
tfdv.visualize_statistics(train_stats)
'''
snapshots['TestExporterMethods::test_generate_html_from_notebook 1'] = '''
<div class="output_wrapper">
<div class="output">
<div class="output_area">
<div class="prompt"></div>
<div class="output_subarea output_stream output_stdout output_text">
<pre>2
</pre>
</div>
</div>
</div>
</div>
'''