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How to use test_a_file method in tavern

Best Python code snippet using tavern

test_output.py

Source:test_output.py

1from ast import FunctionDef2from os import path3from munch import munchify4from pyfakefs.pytest_plugin import fs5import pytest6from pytestgen.load import PyTestGenInputFile7from pytestgen.parse import PyTestGenParsedSet, PyTestGenParsedFile, get_existing_test_functions8import pytestgen.output9from fixtures import mock_module_testable_func, mock_class_testable_func10@pytest.fixture11def mock_parsed_file(mock_module_testable_func, mock_class_testable_func):12    return PyTestGenParsedFile(13        [mock_module_testable_func(),14         mock_class_testable_func()], PyTestGenInputFile("a_file.py", "a_dir"))15@pytest.fixture16def mock_parsed_set(mock_parsed_file):17    fake_input_set = munchify({"output_dir": "output"})18    return PyTestGenParsedSet([mock_parsed_file], fake_input_set)19def test_output_tests(fs, mock_parsed_set, monkeypatch):20    pytestgen.output.output_tests(mock_parsed_set)21    test_file_path = path.join("output", "a_dir", "test_a_file.py")22    assert path.exists(test_file_path) == True, "test file did not exist"23    # we need to patch FunctionDef back in, it was patched out in the24    # 'mock_class_testable_func' fixture used in 'mock_parsed_set'25    # otherwise isinstance() for FunctionDef will fail in26    # get_existing_test_functions()27    monkeypatch.setattr(pytestgen.parse.ast, "FunctionDef", FunctionDef)28    outputted_funcs = get_existing_test_functions(test_file_path)29    assert outputted_funcs == [30        "test_a_test_function", "test_testclass_a_class_test_function"31    ]32def test_output_tests_include(fs, mock_parsed_set, monkeypatch):33    pytestgen.output.output_tests(mock_parsed_set, include=["a_test_function"])34    test_file_path = path.join("output", "a_dir", "test_a_file.py")35    assert path.exists(test_file_path) == True, "test file did not exist"36    # we need to patch FunctionDef back in, it was patched out in the37    # 'mock_class_testable_func' fixture used in 'mock_parsed_set'38    # otherwise isinstance() for FunctionDef will fail in39    # get_existing_test_functions()40    monkeypatch.setattr(pytestgen.parse.ast, "FunctionDef", FunctionDef)41    outputted_funcs = get_existing_test_functions(test_file_path)42    assert outputted_funcs == ["test_a_test_function"]43def test_output_parsed_file_nonexist(fs, mock_parsed_file, monkeypatch):44    test_file_path = path.join("output", "a_dir", "test_a_file.py")45    pytestgen.output._output_parsed_file(mock_parsed_file, "output")46    assert path.exists(test_file_path) == True, "test file did not exist"47    # we need to patch FunctionDef back in, it was patched out in the48    # 'mock_class_testable_func' fixture used in 'mock_parsed_set'49    # otherwise isinstance() for FunctionDef will fail in50    # get_existing_test_functions()51    monkeypatch.setattr(pytestgen.parse.ast, "FunctionDef", FunctionDef)52    outputted_funcs = get_existing_test_functions(test_file_path)53    assert outputted_funcs == [54        "test_a_test_function", "test_testclass_a_class_test_function"55    ]56def test_output_parsed_file_exists(fs, mock_parsed_file, monkeypatch):57    test_file_path = path.join("output", "a_dir", "test_a_file.py")58    fs.create_file(mock_parsed_file.input_file.get_test_file_path("output"))59    pytestgen.output._output_parsed_file(mock_parsed_file, "output")60    assert path.exists(test_file_path) == True, "test file did not exist"61    # we need to patch FunctionDef back in, it was patched out in the62    # 'mock_class_testable_func' fixture used in 'mock_parsed_set'63    # otherwise isinstance() for FunctionDef will fail in64    # get_existing_test_functions()65    monkeypatch.setattr(pytestgen.parse.ast, "FunctionDef", FunctionDef)66    outputted_funcs = get_existing_test_functions(test_file_path)67    assert outputted_funcs == [68        "test_a_test_function", "test_testclass_a_class_test_function"69    ]70def test_ensure_dir_non_exist(fs):71    pytestgen.output._ensure_dir(path.join("test_dir", "test_name.py"))72    assert path.exists("test_dir") == True73def test_ensure_dir_exist(fs):74    fs.create_dir("test_dir")75    pytestgen.output._ensure_dir(path.join("test_dir", "test_name.py"))...

TestUnorderedCSV.py

Source:TestUnorderedCSV.py

...33    localResults['fail'] += 134    print('FAILED '+comment)35    print(localMsg)36    print('')37def test_a_file(fname):38  """39    Tests the file40    @ In, fname, string, filename string41    @ Out, test_a_file, (same, message), (bool, str) result of test.42  """43  differ = UCSV('.', [fname], zeroThreshold=5e-14)44  differ.diff()45  return differ.__dict__['_UnorderedCSVDiffer__same'],\46    differ.__dict__['_UnorderedCSVDiffer__message']47if __name__ == '__main__':48  results = {'pass':0, 'fail':0}49  # passes50  ok, msg = test_a_file('okay.csv')51  check_same('Okay', ok, True, msg, results)52  # mismatch53  ok, msg = test_a_file('mismatch.csv')54  check_same('Mismatch', ok, False, msg, results)55  # matching with inf, nan56  ok, msg = test_a_file('inf.csv')57  check_same('Infinity', ok, True, msg, results)58  # zero threshold59  ok, msg = test_a_file('nearzero.csv')60  check_same('Near zero', ok, True, msg, results)61  # sorting62  ok, msg = test_a_file('sort.csv')63  check_same('sort', ok, True, msg, results)64  print('Passed:', results['pass'], '| Failed:', results['fail'])...

05_02_cyclegan_monet.py

Source:05_02_cyclegan_monet.py

1#!/usr/bin/env python2# coding: utf-83import os4import matplotlib.pyplot as plt5from models.cycleGAN import CycleGAN6from utils.loaders import DataLoader7# run params8SECTION = 'paint'9RUN_ID = '0001'10DATA_NAME = 'airplane2line'11RUN_FOLDER = 'run/{}/'.format(SECTION)12RUN_FOLDER += '_'.join([RUN_ID, DATA_NAME])13if not os.path.exists(RUN_FOLDER):14    os.mkdir(RUN_FOLDER)15    os.mkdir(os.path.join(RUN_FOLDER, 'viz'))16    os.mkdir(os.path.join(RUN_FOLDER, 'images'))17    os.mkdir(os.path.join(RUN_FOLDER, 'weights'))18mode =  'build' # 'build' # 19IMAGE_SIZE = 25620data_loader = DataLoader(dataset_name=DATA_NAME, img_res=(IMAGE_SIZE, IMAGE_SIZE))21# ## ëª¨ë¸ ìì±22gan = CycleGAN(23        input_dim = (IMAGE_SIZE,IMAGE_SIZE,3)24        , learning_rate = 0.000125        , lambda_validation = 126        , lambda_reconstr = 1027        , lambda_id = 528        , generator_type = 'resnet'29        , gen_n_filters = 64 #ìë 32ìì30        , disc_n_filters = 6431        )32if mode == 'build':33    gan.save(RUN_FOLDER)34else:35    gan.load_weights(os.path.join(RUN_FOLDER, 'weights/weights.h5'))36gan.g_BA.summary()37gan.g_AB.summary()38gan.d_A.summary()39gan.d_B.summary()40# ## ëª¨ë¸ íë ¨41BATCH_SIZE = 142EPOCHS = 1043PRINT_EVERY_N_BATCHES = 1044TEST_A_FILE = '0143381.jpg'45TEST_B_FILE = 'n02691156_10391-6.png'46gan.train(data_loader47        , run_folder = RUN_FOLDER48        , epochs=EPOCHS49        , test_A_file = TEST_A_FILE50        , test_B_file = TEST_B_FILE51        , batch_size=BATCH_SIZE...

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