def test_filesDiffer_withNoVarsAnalyzed(self):
var_char = NetcdfVariableFake(np.array(['a', 'b', 'c']),
is_numeric=False)
file1 = NetcdfFileFake(self.FILENAME1, variables={'var1': var_char})
file2 = NetcdfFileFake(self.FILENAME2, variables={'var1': var_char})
mydiffs = FileDiffs(file1, file2, separate_dim=None)
differ = mydiffs.files_differ()
self.assertTrue(differ)
def test_filesDiffer_withNoVariables(self):
file1 = NetcdfFileFake(
self.FILENAME1,
variables = {})
file2 = NetcdfFileFake(
self.FILENAME2,
variables = {})
mydiffs = FileDiffs(file1, file2)
differ = mydiffs.files_differ()
self.assertTrue(differ)
def test_filesDiffer_withDimsDiffer(self):
file1 = NetcdfFileFake(
self.FILENAME1,
variables = {'var1': NetcdfVariableFake(np.array([1,2,3]))})
file2 = NetcdfFileFake(
self.FILENAME2,
variables = {'var1': NetcdfVariableFake(np.array([1,2]))})
mydiffs = FileDiffs(file1, file2, separate_dim=None)
differ = mydiffs.files_differ()
self.assertTrue(differ)
def test_filesDiffer_withDimsDiffer(self):
file1 = NetcdfFileFake(
self.FILENAME1,
variables={'var1': NetcdfVariableFake(np.array([1, 2, 3]))})
file2 = NetcdfFileFake(
self.FILENAME2,
variables={'var1': NetcdfVariableFake(np.array([1, 2]))})
mydiffs = FileDiffs(file1, file2, separate_dim=None)
differ = mydiffs.files_differ()
self.assertTrue(differ)
def test_filesDiffer_withNoVarsAnalyzed(self):
var_char = NetcdfVariableFake(np.array(['a','b','c']), is_numeric=False)
file1 = NetcdfFileFake(
self.FILENAME1,
variables = {'var1': var_char})
file2 = NetcdfFileFake(
self.FILENAME2,
variables = {'var1': var_char})
mydiffs = FileDiffs(file1, file2, separate_dim=None)
differ = mydiffs.files_differ()
self.assertTrue(differ)
def test_filesDiffer_withDifferentVars(self):
# Files with different variables should differ
data = np.array([1,2,3,4])
file1 = NetcdfFileFake(
self.FILENAME1,
# Tuples with only one string must have a comma appended
variables = {'var1': NetcdfVariableFake(data, ('dim',))})
file2 = NetcdfFileFake(
self.FILENAME2,
variables = {'var4': NetcdfVariableFake(data, ('dim',))})
mydiffs = FileDiffs(file1, file2, separate_dim='dim2')
differ = mydiffs.files_differ()
self.assertTrue(differ)
def test_filesDiffer_withDifferentSlices(self):
# Files with variables with different slices should also differ
data1 = np.array([[1,2,3,4],[5,6,7,8]])
data2 = np.array([[1,2],[5,6]])
file1 = NetcdfFileFake(
self.FILENAME1,
variables = {'var1': NetcdfVariableFake(data1, ('dim1', 'dim2'))})
file2 = NetcdfFileFake(
self.FILENAME2,
variables = {'var1': NetcdfVariableFake(data2, ('dim1', 'dim2'))})
mydiffs = FileDiffs(file1, file2, separate_dim='dim2')
differ = mydiffs.files_differ()
self.assertTrue(differ)
def test_filesDiffer_withDifferentVars(self):
# Files with different variables should differ
data = np.array([1, 2, 3, 4])
file1 = NetcdfFileFake(
self.FILENAME1,
# Tuples with only one string must have a comma appended
variables={'var1': NetcdfVariableFake(data, ('dim', ))})
file2 = NetcdfFileFake(
self.FILENAME2,
variables={'var4': NetcdfVariableFake(data, ('dim', ))})
mydiffs = FileDiffs(file1, file2, separate_dim='dim2')
differ = mydiffs.files_differ()
self.assertTrue(differ)
def test_filesDiffer_withDifferentSlices(self):
# Files with variables with different slices should also differ
data1 = np.array([[1, 2, 3, 4], [5, 6, 7, 8]])
data2 = np.array([[1, 2], [5, 6]])
file1 = NetcdfFileFake(
self.FILENAME1,
variables={'var1': NetcdfVariableFake(data1, ('dim1', 'dim2'))})
file2 = NetcdfFileFake(
self.FILENAME2,
variables={'var1': NetcdfVariableFake(data2, ('dim1', 'dim2'))})
mydiffs = FileDiffs(file1, file2, separate_dim='dim2')
differ = mydiffs.files_differ()
self.assertTrue(differ)
def test_filesDiffer_withNoVariables(self):
file1 = NetcdfFileFake(self.FILENAME1, variables={})
file2 = NetcdfFileFake(self.FILENAME2, variables={})
mydiffs = FileDiffs(file1, file2)
differ = mydiffs.files_differ()
self.assertTrue(differ)