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# 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. """ Provides patches for some commonly used modules that enable them to work with pyfakefs. """ import os import sys import unittest from pyfakefs import fake_filesystem_unittest from pyfakefs.helpers import IS_PYPY try: import pandas as pd except ImportError: pd = None try: import xlrd except ImportError: xlrd = None try: import openpyxl except ImportError: openpyxl = None @unittest.skipIf( IS_PYPY and sys.version_info < (3, 8), "Has a problem with older PyPy versions" ) class TestPatchedPackages(fake_filesystem_unittest.TestCase): def setUp(self): self.setUpPyfakefs() if pd is not None: def test_read_csv(self): path = "/foo/bar.csv" self.fs.create_file(path, contents="1,2,3,4") df = pd.read_csv(path) assert (df.columns == ["1", "2", "3", "4"]).all() def test_read_table(self): path = "/foo/bar.csv" self.fs.create_file(path, contents="1|2|3|4") df = pd.read_table(path, delimiter="|") assert (df.columns == ["1", "2", "3", "4"]).all() if pd is not None and xlrd is not None: def test_read_excel(self): path = "/foo/bar.xlsx" src_path = os.path.dirname(os.path.abspath(__file__)) src_path = os.path.join(src_path, "fixtures", "excel_test.xlsx") # map the file into another location to be sure that # the real fs is not used self.fs.add_real_file(src_path, target_path=path) df = pd.read_excel(path) assert (df.columns == [1, 2, 3, 4]).all() if pd is not None and openpyxl is not None: def test_write_excel(self): self.fs.create_dir("/foo") path = "/foo/bar.xlsx" df = pd.DataFrame([[0, 1, 2, 3]]) with pd.ExcelWriter(path) as writer: df.to_excel(writer) df = pd.read_excel(path) assert (df.columns == ["Unnamed: 0", 0, 1, 2, 3]).all()