TensorFlow 2 version | View source on GitHub |
Base class for tests that need to test TensorFlow.
tf.test.TestCase(
methodName='runTest'
)
Child Classes
Methods
addCleanup
addCleanup(
*args, **kwargs
)
Add a function, with arguments, to be called when the test is completed. Functions added are called on a LIFO basis and are called after tearDown on test failure or success.
Cleanup items are called even if setUp fails (unlike tearDown).
addTypeEqualityFunc
addTypeEqualityFunc(
typeobj, function
)
Add a type specific assertEqual style function to compare a type.
This method is for use by TestCase subclasses that need to register their own type equality functions to provide nicer error messages.
Args | |
---|---|
typeobj
|
The data type to call this function on when both values are of the same type in assertEqual(). |
function
|
The callable taking two arguments and an optional msg= argument that raises self.failureException with a useful error message when the two arguments are not equal. |
assertAllClose
assertAllClose(
a, b, rtol=1e-06, atol=1e-06, msg=None
)
Asserts that two structures of numpy arrays or Tensors, have near values.
a
and b
can be arbitrarily nested structures. A layer of a nested
structure can be a dict
, namedtuple
, tuple
or list
.
Args | |
---|---|
a
|
The expected numpy ndarray , or anything that can be converted into a
numpy ndarray (including Tensor), or any arbitrarily nested of
structure of these.
|
b
|
The actual numpy ndarray , or anything that can be converted into a
numpy ndarray (including Tensor), or any arbitrarily nested of
structure of these.
|
rtol
|
relative tolerance. |
atol
|
absolute tolerance. |
msg
|
Optional message to report on failure. |
Raises | |
---|---|
ValueError
|
if only one of a[p] and b[p] is a dict or
a[p] and b[p] have different length, where [p] denotes a path
to the nested structure, e.g. given a = [(1, 1), {'d': (6, 7)}] and
[p] = [1]['d'] , then a[p] = (6, 7) .
|
assertAllCloseAccordingToType
assertAllCloseAccordingToType(
a, b, rtol=1e-06, atol=1e-06, float_rtol=1e-06, float_atol=1e-06,
half_rtol=0.001, half_atol=0.001, bfloat16_rtol=0.01, bfloat16_atol=0.01,
msg=None
)
Like assertAllClose, but also suitable for comparing fp16 arrays.
In particular, the tolerance is reduced to 1e-3 if at least one of the arguments is of type float16.
Args | |
---|---|
a
|
the expected numpy ndarray or anything can be converted to one. |
b
|
the actual numpy ndarray or anything can be converted to one. |
rtol
|
relative tolerance. |
atol
|
absolute tolerance. |
float_rtol
|
relative tolerance for float32. |
float_atol
|
absolute tolerance for float32. |
half_rtol
|
relative tolerance for float16. |
half_atol
|
absolute tolerance for float16. |
bfloat16_rtol
|
relative tolerance for bfloat16. |
bfloat16_atol
|
absolute tolerance for bfloat16. |
msg
|
Optional message to report on failure. |
assertAllEqual
assertAllEqual(
a, b, msg=None
)
Asserts that two numpy arrays or Tensors have the same values.
Args | |
---|---|
a
|
the expected numpy ndarray or anything can be converted to one. |
b
|
the actual numpy ndarray or anything can be converted to one. |
msg
|
Optional message to report on failure. |
assertAllGreater
assertAllGreater(
a, comparison_target
)
Assert element values are all greater than a target value.
Args | |
---|---|
a
|
The numpy ndarray , or anything that can be converted into a numpy
ndarray (including Tensor).
|
comparison_target
|
The target value of comparison. |
assertAllGreaterEqual
assertAllGreaterEqual(
a, comparison_target
)
Assert element values are all greater than or equal to a target value.
Args | |
---|---|
a
|
The numpy ndarray , or anything that can be converted into a numpy
ndarray (including Tensor).
|
comparison_target
|
The target value of comparison. |
assertAllInRange
assertAllInRange(
target, lower_bound, upper_bound, open_lower_bound=False, open_upper_bound=False
)
Assert that elements in a Tensor are all in a given range.
Args | |
---|---|
target
|
The numpy ndarray , or anything that can be converted into a
numpy ndarray (including Tensor).
|
lower_bound
|
lower bound of the range |
upper_bound
|
upper bound of the range |
open_lower_bound
|
(bool ) whether the lower bound is open (i.e., > rather
than the default >=)
|
open_upper_bound
|
(bool ) whether the upper bound is open (i.e., < rather
than the default <=)
|
Raises | |
---|---|
AssertionError
|
if the value tensor does not have an ordered numeric type (float* or int*), or if there are nan values, or if any of the elements do not fall in the specified range. |
assertAllInSet
assertAllInSet(
target, expected_set
)
Assert that elements of a Tensor are all in a given closed set.
Args | |
---|---|
target
|
The numpy ndarray , or anything that can be converted into a
numpy ndarray (including Tensor).
|
expected_set
|
(list , tuple or set ) The closed set that the elements
of the value of target are expected to fall into.
|
Raises | |
---|---|
AssertionError
|
if any of the elements do not fall into expected_set .
|
assertAllLess
assertAllLess(
a, comparison_target
)
Assert element values are all less than a target value.
Args | |
---|---|
a
|
The numpy ndarray , or anything that can be converted into a numpy
ndarray (including Tensor).
|
comparison_target
|
The target value of comparison. |
assertAllLessEqual
assertAllLessEqual(
a, comparison_target
)
Assert element values are all less than or equal to a target value.
Args | |
---|---|
a
|
The numpy ndarray , or anything that can be converted into a numpy
ndarray (including Tensor).
|
comparison_target
|
The target value of comparison. |
assertAlmostEqual
assertAlmostEqual(
first, second, places=None, msg=None, delta=None
)
Fail if the two objects are unequal as determined by their difference rounded to the given number of decimal places (default 7) and comparing to zero, or by comparing that the difference between the two objects is more than the given delta.
Note that decimal places (from zero) are usually not the same as significant digits (measured from the most significant digit).
If the two objects compare equal then they will automatically compare almost equal.
assertAlmostEquals
assertAlmostEquals(
*args, **kwargs
)
assertArrayNear
assertArrayNear(
farray1, farray2, err, msg=None
)
Asserts that two float arrays are near each other.
Checks that for all elements of farray1 and farray2 |f1 - f2| < err. Asserts a test failure if not.
Args | |
---|---|
farray1
|
a list of float values. |
farray2
|
a list of float values. |
err
|
a float value. |
msg
|
Optional message to report on failure. |
assertBetween
assertBetween(
value, minv, maxv, msg=None
)
Asserts that value is between minv and maxv (inclusive).
assertCommandFails
assertCommandFails(
command, regexes, env=None, close_fds=True, msg=None
)
Asserts a shell command fails and the error matches a regex in a list.
Args | |
---|---|
command
|
List or string representing the command to run. |
regexes
|
the list of regular expression strings. |
env
|
Dictionary of environment variable settings. If None, no environment variables will be set for the child process. This is to make tests more hermetic. NOTE: this behavior is different than the standard subprocess module. |
close_fds
|
Whether or not to close all open fd's in the child after forking. |
msg
|
Optional message to report on failure. |
assertCommandSucceeds
assertCommandSucceeds(
command, regexes=(b'',), env=None, close_fds=True, msg=None
)
Asserts that a shell command succeeds (i.e. exits with code 0).
Args | |
---|---|
command
|
List or string representing the command to run. |
regexes
|
List of regular expression byte strings that match success. |
env
|
Dictionary of environment variable settings. If None, no environment variables will be set for the child process. This is to make tests more hermetic. NOTE: this behavior is different than the standard subprocess module. |
close_fds
|
Whether or not to close all open fd's in the child after forking. |
msg
|
Optional message to report on failure. |
assertContainsExactSubsequence
assertContainsExactSubsequence(
container, subsequence, msg=None
)
Asserts that "container" contains "subsequence" as an exact subsequence.
Asserts that "container" contains all the elements of "subsequence", in order, and without other elements interspersed. For example, [1, 2, 3] is an exact subsequence of [0, 0, 1, 2, 3, 0] but not of [0, 0, 1, 2, 0, 3, 0].
Args | |
---|---|
container
|
the list we're testing for subsequence inclusion. |
subsequence
|
the list we hope will be an exact subsequence of container. |
msg
|
Optional message to report on failure. |
assertContainsInOrder
assertContainsInOrder(
strings, target, msg=None
)
Asserts that the strings provided are found in the target in order.
This may be useful for checking HTML output.
Args | |
---|---|
strings
|
A list of strings, such as [ 'fox', 'dog' ] |
target
|
A target string in which to look for the strings, such as 'The quick brown fox jumped over the lazy dog'. |
msg
|
Optional message to report on failure. |
assertContainsSubsequence
assertContainsSubsequence(
container, subsequence, msg=None
)
Asserts that "container" contains "subsequence" as a subsequence.
Asserts that "container" contains all the elements of "subsequence", in order, but possibly with other elements interspersed. For example, [1, 2, 3] is a subsequence of [0, 0, 1, 2, 0, 3, 0] but not of [0, 0, 1, 3, 0, 2, 0].
Args | |
---|---|
container
|
the list we're testing for subsequence inclusion. |
subsequence
|
the list we hope will be a subsequence of container. |
msg
|
Optional message to report on failure. |
assertContainsSubset
assertContainsSubset(
expected_subset, actual_set, msg=None
)
Checks whether actual iterable is a superset of expected iterable.
assertCountEqual
assertCountEqual(
first, second, msg=None
)
An unordered sequence comparison asserting that the same elements, regardless of order. If the same element occurs more than once, it verifies that the elements occur the same number of times.
self.assertEqual(Counter(list(first)),
Counter(list(second)))
Example:
- [0, 1, 1] and [1, 0, 1] compare equal.
- [0, 0, 1] and [0, 1] compare unequal.
assertDTypeEqual
assertDTypeEqual(
target, expected_dtype
)
Assert ndarray data type is equal to expected.
Args | |
---|---|
target
|
The numpy ndarray , or anything that can be converted into a
numpy ndarray (including Tensor).
|
expected_dtype
|
Expected data type. |
assertDeviceEqual
assertDeviceEqual(
device1, device2, msg=None
)
Asserts that the two given devices are the same.
Args | |
---|---|
device1
|
A string device name or TensorFlow DeviceSpec object.
|
device2
|
A string device name or TensorFlow DeviceSpec object.
|
msg
|
Optional message to report on failure. |
assertDictContainsSubset
assertDictContainsSubset(
subset, dictionary, msg=None
)
Checks whether dictionary is a superset of subset.
assertDictEqual
assertDictEqual(
a, b, msg=None
)
Raises AssertionError if a and b are not equal dictionaries.
Args | |
---|---|
a
|
A dict, the expected value. |
b
|
A dict, the actual value. |
msg
|
An optional str, the associated message. |
Raises | |
---|---|
AssertionError
|
if the dictionaries are not equal. |
assertEmpty
assertEmpty(
container, msg=None
)
Asserts that an object has zero length.
Args | |
---|---|
container
|
Anything that implements the collections.abc.Sized interface. |
msg
|
Optional message to report on failure. |
assertEndsWith
assertEndsWith(
actual, expected_end, msg=None
)
Asserts that actual.endswith(expected_end) is True.
Args | |
---|---|
actual
|
str |
expected_end
|
str |
msg
|
Optional message to report on failure. |
assertEqual
assertEqual(
first, second, msg=None
)
Fail if the two objects are unequal as determined by the '==' operator.
assertEquals
assertEquals(
*args, **kwargs
)
assertFalse
assertFalse(
expr, msg=None
)
Check that the expression is false.
assertGreater
assertGreater(
a, b, msg=None
)
Just like self.assertTrue(a > b), but with a nicer default message.
assertGreaterEqual
assertGreaterEqual(
a, b, msg=None
)
Just like self.assertTrue(a >= b), but with a nicer default message.
assertIn
assertIn(
member, container, msg=None
)
Just like self.assertTrue(a in b), but with a nicer default message.
assertIs
assertIs(
expr1, expr2, msg=None
)
Just like self.assertTrue(a is b), but with a nicer default message.
assertIsInstance
assertIsInstance(
obj, cls, msg=None
)
Same as self.assertTrue(isinstance(obj, cls)), with a nicer default message.
assertIsNone
assertIsNone(
obj, msg=None
)
Same as self.assertTrue(obj is None), with a nicer default message.
assertIsNot
assertIsNot(
expr1, expr2, msg=None
)
Just like self.assertTrue(a is not b), but with a nicer default message.
assertIsNotNone
assertIsNotNone(
obj, msg=None
)
Included for symmetry with assertIsNone.
assertItemsEqual
assertItemsEqual(
first, second, msg=None
)
An unordered sequence comparison asserting that the same elements, regardless of order. If the same element occurs more than once, it verifies that the elements occur the same number of times.
self.assertEqual(Counter(list(first)),
Counter(list(second)))
Example:
- [0, 1, 1] and [1, 0, 1] compare equal.
- [0, 0, 1] and [0, 1] compare unequal.
assertJsonEqual
assertJsonEqual(
first, second, msg=None
)
Asserts that the JSON objects defined in two strings are equal.
A summary of the differences will be included in the failure message using assertSameStructure.
Args | |
---|---|
first
|
A string containing JSON to decode and compare to second. |
second
|
A string containing JSON to decode and compare to first. |
msg
|
Additional text to include in the failure message. |
assertLen
assertLen(
container, expected_len, msg=None
)
Asserts that an object has the expected length.
Args | |
---|---|
container
|
Anything that implements the collections.abc.Sized interface. |
expected_len
|
The expected length of the container. |
msg
|
Optional message to report on failure. |
assertLess
assertLess(
a, b, msg=None
)
Just like self.assertTrue(a < b), but with a nicer default message.
assertLessEqual
assertLessEqual(
a, b, msg=None
)
Just like self.assertTrue(a <= b), but with a nicer default message.
assertListEqual
assertListEqual(
list1, list2, msg=None
)
A list-specific equality assertion.
Args | |
---|---|
list1
|
The first list to compare. |
list2
|
The second list to compare. |
msg
|
Optional message to use on failure instead of a list of differences. |
assertLogs
assertLogs(
logger=None, level=None
)
Fail unless a log message of level level or higher is emitted on logger_name or its children. If omitted, level defaults to INFO and logger defaults to the root logger.
This method must be used as a context manager, and will yield
a recording object with two attributes: output
and records
.
At the end of the context manager, the output
attribute will
be a list of the matching formatted log messages and the
records
attribute will be a list of the corresponding LogRecord
objects.
Example::
with self.assertLogs('foo', level='INFO') as cm:
logging.getLogger('foo').info('first message')
logging.getLogger('foo.bar').error('second message')
self.assertEqual(cm.output, ['INFO:foo:first message',
'ERROR:foo.bar:second message'])
assertMultiLineEqual
assertMultiLineEqual(
first, second, msg=None, **kwargs
)
Asserts that two multi-line strings are equal.
assertNDArrayNear
assertNDArrayNear(
ndarray1, ndarray2, err, msg=None
)
Asserts that two numpy arrays have near values.
Args | |
---|---|
ndarray1
|
a numpy ndarray. |
ndarray2
|
a numpy ndarray. |
err
|
a float. The maximum absolute difference allowed. |
msg
|
Optional message to report on failure. |
assertNear
assertNear(
f1, f2, err, msg=None
)
Asserts that two floats are near each other.
Checks that |f1 - f2| < err and asserts a test failure if not.
Args | |
---|---|
f1
|
A float value. |
f2
|
A float value. |
err
|
A float value. |
msg
|
An optional string message to append to the failure message. |
assertNoCommonElements
assertNoCommonElements(
expected_seq, actual_seq, msg=None
)
Checks whether actual iterable and expected iterable are disjoint.
assertNotAllClose
assertNotAllClose(
a, b, **kwargs
)
Assert that two numpy arrays, or Tensors, do not have near values.
Args | |
---|---|
a
|
the first value to compare. |
b
|
the second value to compare. |
**kwargs
|
additional keyword arguments to be passed to the underlying
assertAllClose call.
|
Raises | |
---|---|
AssertionError
|
If a and b are unexpectedly close at all elements.
|
assertNotAllEqual
assertNotAllEqual(
a, b, msg=None
)
Asserts that two numpy arrays or Tensors do not have the same values.
Args | |
---|---|
a
|
the expected numpy ndarray or anything can be converted to one. |
b
|
the actual numpy ndarray or anything can be converted to one. |
msg
|
Optional message to report on failure. |
assertNotAlmostEqual
assertNotAlmostEqual(
first, second, places=None, msg=None, delta=None
)
Fail if the two objects are equal as determined by their difference rounded to the given number of decimal places (default 7) and comparing to zero, or by comparing that the difference between the two objects is less than the given delta.
Note that decimal places (from zero) are usually not the same as significant digits (measured from the most significant digit).
Objects that are equal automatically fail.
assertNotAlmostEquals
assertNotAlmostEquals(
*args, **kwargs
)
assertNotEmpty
assertNotEmpty(
container, msg=None
)
Asserts that an object has non-zero length.
Args | |
---|---|
container
|
Anything that implements the collections.abc.Sized interface. |
msg
|
Optional message to report on failure. |
assertNotEndsWith
assertNotEndsWith(
actual, unexpected_end, msg=None
)
Asserts that actual.endswith(unexpected_end) is False.
Args | |
---|---|
actual
|
str |
unexpected_end
|
str |
msg
|
Optional message to report on failure. |
assertNotEqual
assertNotEqual(
first, second, msg=None
)
Fail if the two objects are equal as determined by the '!=' operator.
assertNotEquals
assertNotEquals(
*args, **kwargs
)
assertNotIn
assertNotIn(
member, container, msg=None
)
Just like self.assertTrue(a not in b), but with a nicer default message.
assertNotIsInstance
assertNotIsInstance(
obj, cls, msg=None
)
Included for symmetry with assertIsInstance.
assertNotRegex
assertNotRegex(
text, unexpected_regex, msg=None
)
Fail the test if the text matches the regular expression.
assertNotRegexpMatches
assertNotRegexpMatches(
*args, **kwargs
)
assertNotStartsWith
assertNotStartsWith(
actual, unexpected_start, msg=None
)
Asserts that actual.startswith(unexpected_start) is False.
Args | |
---|---|
actual
|
str |
unexpected_start
|
str |
msg
|
Optional message to report on failure. |
assertProtoEquals
assertProtoEquals(
expected_message_maybe_ascii, message, msg=None
)
Asserts that message is same as parsed expected_message_ascii.
Creates another prototype of message, reads the ascii message into it and then compares them using self._AssertProtoEqual().
Args | |
---|---|
expected_message_maybe_ascii
|
proto message in original or ascii form. |
message
|
the message to validate. |
msg
|
Optional message to report on failure. |
assertProtoEqualsVersion
assertProtoEqualsVersion(
expected, actual, producer=versions.GRAPH_DEF_VERSION,
min_consumer=versions.GRAPH_DEF_VERSION_MIN_CONSUMER, msg=None
)
assertRaises
assertRaises(
expected_exception, *args, **kwargs
)
Fail unless an exception of class expected_exception is raised by the callable when invoked with specified positional and keyword arguments. If a different type of exception is raised, it will not be caught, and the test case will be deemed to have suffered an error, exactly as for an unexpected exception.
If called with the callable and arguments omitted, will return a context object used like this::
with self.assertRaises(SomeException):
do_something()
An optional keyword argument 'msg' can be provided when assertRaises is used as a context object.
The context manager keeps a reference to the exception as the 'exception' attribute. This allows you to inspect the exception after the assertion::
with self.assertRaises(SomeException) as cm:
do_something()
the_exception = cm.exception
self.assertEqual(the_exception.error_code, 3)
assertRaisesOpError
assertRaisesOpError(
expected_err_re_or_predicate
)
assertRaisesRegex
assertRaisesRegex(
expected_exception, expected_regex, *args, **kwargs
)
Asserts that the message in a raised exception matches a regex.
Args | |
---|---|
expected_exception
|
Exception class expected to be raised. |
expected_regex
|
Regex (re.Pattern object or string) expected to be found in error message. |
args
|
Function to be called and extra positional args. |
kwargs
|
Extra kwargs. |
msg
|
Optional message used in case of failure. Can only be used when assertRaisesRegex is used as a context manager. |
assertRaisesRegexp
assertRaisesRegexp(
expected_exception, expected_regex, *args, **kwargs
)
Asserts that the message in a raised exception matches a regex.
Args | |
---|---|
expected_exception
|
Exception class expected to be raised. |
expected_regex
|
Regex (re.Pattern object or string) expected to be found in error message. |
args
|
Function to be called and extra positional args. |
kwargs
|
Extra kwargs. |
msg
|
Optional message used in case of failure. Can only be used when assertRaisesRegex is used as a context manager. |
assertRaisesWithLiteralMatch
assertRaisesWithLiteralMatch(
expected_exception, expected_exception_message, callable_obj=None, *args,
**kwargs
)
Asserts that the message in a raised exception equals the given string.
Unlike assertRaisesRegex, this method takes a literal string, not a regular expression.
with self.assertRaisesWithLiteralMatch(ExType, 'message'): DoSomething()
Args | |
---|---|
expected_exception
|
Exception class expected to be raised. |
expected_exception_message
|
String message expected in the raised exception. For a raise exception e, expected_exception_message must equal str(e). |
callable_obj
|
Function to be called, or None to return a context. |
*args
|
Extra args. |
**kwargs
|
Extra kwargs. |
Returns | |
---|---|
A context manager if callable_obj is None. Otherwise, None. |
Raises | |
---|---|
self.failureException if callable_obj does not raise a matching exception. |
assertRaisesWithPredicateMatch
@contextlib.contextmanager
assertRaisesWithPredicateMatch( exception_type, expected_err_re_or_predicate )
Returns a context manager to enclose code expected to raise an exception.
If the exception is an OpError, the op stack is also included in the message predicate search.
Args | |
---|---|
exception_type
|
The expected type of exception that should be raised. |
expected_err_re_or_predicate
|
If this is callable, it should be a function of one argument that inspects the passed-in exception and returns True (success) or False (please fail the test). Otherwise, the error message is expected to match this regular expression partially. |
Returns | |
---|---|
A context manager to surround code that is expected to raise an exception. |
assertRegex
assertRegex(
text, expected_regex, msg=None
)
Fail the test unless the text matches the regular expression.
assertRegexMatch
assertRegexMatch(
actual_str, regexes, message=None
)
Asserts that at least one regex in regexes matches str.
If possible you should use assertRegex
, which is a simpler
version of this method. assertRegex
takes a single regular
expression (a string or re compiled object) instead of a list.
Notes:
This function uses substring matching, i.e. the matching succeeds if any substring of the error message matches any regex in the list. This is more convenient for the user than full-string matching.
If regexes is the empty list, the matching will always fail.
Use regexes=[''] for a regex that will always pass.
'.' matches any single character except the newline. To match any character, use '(.|\n)'.
'^' matches the beginning of each line, not just the beginning of the string. Similarly, '$' matches the end of each line.
An exception will be thrown if regexes contains an invalid regex.
Args | |
---|---|
actual_str
|
The string we try to match with the items in regexes. |
regexes
|
The regular expressions we want to match against str. See "Notes" above for detailed notes on how this is interpreted. |
message
|
The message to be printed if the test fails. |
assertRegexpMatches
assertRegexpMatches(
*args, **kwargs
)
assertSameElements
assertSameElements(
expected_seq, actual_seq, msg=None
)
Asserts that two sequences have the same elements (in any order).
This method, unlike assertCountEqual, doesn't care about any duplicates in the expected and actual sequences.
assertSameElements([1, 1, 1, 0, 0, 0], [0, 1]) # Doesn't raise an AssertionError
If possible, you should use assertCountEqual instead of assertSameElements.
Args | |
---|---|
expected_seq
|
A sequence containing elements we are expecting. |
actual_seq
|
The sequence that we are testing. |
msg
|
The message to be printed if the test fails. |
assertSameStructure
assertSameStructure(
a, b, aname='a', bname='b', msg=None
)
Asserts that two values contain the same structural content.
The two arguments should be data trees consisting of trees of dicts and lists. They will be deeply compared by walking into the contents of dicts and lists; other items will be compared using the == operator. If the two structures differ in content, the failure message will indicate the location within the structures where the first difference is found. This may be helpful when comparing large structures.
Mixed Sequence and Set types are supported. Mixed Mapping types are supported, but the order of the keys will not be considered in the comparison.
Args | |
---|---|
a
|
The first structure to compare. |
b
|
The second structure to compare. |
aname
|
Variable name to use for the first structure in assertion messages. |
bname
|
Variable name to use for the second structure. |
msg
|
Additional text to include in the failure message. |
assertSequenceAlmostEqual
assertSequenceAlmostEqual(
expected_seq, actual_seq, places=None, msg=None, delta=None
)
An approximate equality assertion for ordered sequences.
Fail if the two sequences are unequal as determined by their value differences rounded to the given number of decimal places (default 7) and comparing to zero, or by comparing that the difference between each value in the two sequences is more than the given delta.
Note that decimal places (from zero) are usually not the same as significant digits (measured from the most significant digit).
If the two sequences compare equal then they will automatically compare almost equal.
Args | |
---|---|
expected_seq
|
A sequence containing elements we are expecting. |
actual_seq
|
The sequence that we are testing. |
places
|
The number of decimal places to compare. |
msg
|
The message to be printed if the test fails. |
delta
|
The OK difference between compared values. |
assertSequenceEqual
assertSequenceEqual(
seq1, seq2, msg=None, seq_type=None
)
An equality assertion for ordered sequences (like lists and tuples).
For the purposes of this function, a valid ordered sequence type is one which can be indexed, has a length, and has an equality operator.
Args | |
---|---|
seq1
|
The first sequence to compare. |
seq2
|
The second sequence to compare. |
seq_type
|
The expected datatype of the sequences, or None if no datatype should be enforced. |
msg
|
Optional message to use on failure instead of a list of differences. |
assertSequenceStartsWith
assertSequenceStartsWith(
prefix, whole, msg=None
)
An equality assertion for the beginning of ordered sequences.
If prefix is an empty sequence, it will raise an error unless whole is also an empty sequence.
If prefix is not a sequence, it will raise an error if the first element of whole does not match.
Args | |
---|---|
prefix
|
A sequence expected at the beginning of the whole parameter. |
whole
|
The sequence in which to look for prefix. |
msg
|
Optional message to report on failure. |
assertSetEqual
assertSetEqual(
set1, set2, msg=None
)
A set-specific equality assertion.
Args | |
---|---|
set1
|
The first set to compare. |
set2
|
The second set to compare. |
msg
|
Optional message to use on failure instead of a list of differences. |
assertSetEqual uses ducktyping to support different types of sets, and is optimized for sets specifically (parameters must support a difference method).
assertShapeEqual
assertShapeEqual(
np_array, tf_tensor, msg=None
)
Asserts that a Numpy ndarray and a TensorFlow tensor have the same shape.
Args | |
---|---|
np_array
|
A Numpy ndarray or Numpy scalar. |
tf_tensor
|
A Tensor. |
msg
|
Optional message to report on failure. |
Raises | |
---|---|
TypeError
|
If the arguments have the wrong type. |
assertStartsWith
assertStartsWith(
actual, expected_start, msg=None
)
Assert that actual.startswith(expected_start) is True.
Args | |
---|---|
actual
|
str |
expected_start
|
str |
msg
|
Optional message to report on failure. |
assertTotallyOrdered
assertTotallyOrdered(
*groups, **kwargs
)
Asserts that total ordering has been implemented correctly.
For example, say you have a class A that compares only on its attribute x. Comparators other than lt are omitted for brevity.
class A(object): def init(self, x, y): self.x = x self.y = y
def hash(self): return hash(self.x)
def lt(self, other): try: return self.x < other.x except AttributeError: return NotImplemented
assertTotallyOrdered will check that instances can be ordered correctly. For example,
self.assertTotallyOrdered( [None], # None should come before everything else. [1], # Integers sort earlier. [A(1, 'a')], [A(2, 'b')], # 2 is after 1. [A(3, 'c'), A(3, 'd')], # The second argument is irrelevant. [A(4, 'z')], ['foo']) # Strings sort last.
Args | |
---|---|
*groups
|
A list of groups of elements. Each group of elements is a list of objects that are equal. The elements in each group must be less than the elements in the group after it. For example, these groups are totally ordered: [None], [1], [2, 2], [3]. **kwargs: optional msg keyword argument can be passed. |
assertTrue
assertTrue(
expr, msg=None
)
Check that the expression is true.
assertTupleEqual
assertTupleEqual(
tuple1, tuple2, msg=None
)
A tuple-specific equality assertion.
Args | |
---|---|
tuple1
|
The first tuple to compare. |
tuple2
|
The second tuple to compare. |
msg
|
Optional message to use on failure instead of a list of differences. |
assertUrlEqual
assertUrlEqual(
a, b, msg=None
)
Asserts that urls are equal, ignoring ordering of query params.
assertWarns
assertWarns(
expected_warning, *args, **kwargs
)
Fail unless a warning of class warnClass is triggered by the callable when invoked with specified positional and keyword arguments. If a different type of warning is triggered, it will not be handled: depending on the other warning filtering rules in effect, it might be silenced, printed out, or raised as an exception.
If called with the callable and arguments omitted, will return a context object used like this::
with self.assertWarns(SomeWarning):
do_something()
An optional keyword argument 'msg' can be provided when assertWarns is used as a context object.
The context manager keeps a reference to the first matching warning as the 'warning' attribute; similarly, the 'filename' and 'lineno' attributes give you information about the line of Python code from which the warning was triggered. This allows you to inspect the warning after the assertion::
with self.assertWarns(SomeWarning) as cm:
do_something()
the_warning = cm.warning
self.assertEqual(the_warning.some_attribute, 147)
assertWarnsRegex
assertWarnsRegex(
expected_warning, expected_regex, *args, **kwargs
)
Asserts that the message in a triggered warning matches a regexp. Basic functioning is similar to assertWarns() with the addition that only warnings whose messages also match the regular expression are considered successful matches.
Args | |
---|---|
expected_warning
|
Warning class expected to be triggered. |
expected_regex
|
Regex (re.Pattern object or string) expected to be found in error message. |
args
|
Function to be called and extra positional args. |
kwargs
|
Extra kwargs. |
msg
|
Optional message used in case of failure. Can only be used when assertWarnsRegex is used as a context manager. |
assert_
assert_(
*args, **kwargs
)
cached_session
@contextlib.contextmanager
cached_session( graph=None, config=None, use_gpu=False, force_gpu=False )
Returns a TensorFlow Session for use in executing tests.
This method behaves differently than self.session(): for performance reasons
cached_session
will by default reuse the same session within the same
test. The session returned by this function will only be closed at the end
of the test (in the TearDown function).
Use the use_gpu
and force_gpu
options to control where ops are run. If
force_gpu
is True, all ops are pinned to /device:GPU:0
. Otherwise, if
use_gpu
is True, TensorFlow tries to run as many ops on the GPU as
possible. If both force_gpu and
use_gpu` are False, all ops are pinned to
the CPU.
Example:
class MyOperatorTest(test_util.TensorFlowTestCase):
def testMyOperator(self):
with self.cached_session(use_gpu=True) as sess:
valid_input = [1.0, 2.0, 3.0, 4.0, 5.0]
result = MyOperator(valid_input).eval()
self.assertEqual(result, [1.0, 2.0, 3.0, 5.0, 8.0]
invalid_input = [-1.0, 2.0, 7.0]
with self.assertRaisesOpError("negative input not supported"):
MyOperator(invalid_input).eval()
Args | |
---|---|
graph
|
Optional graph to use during the returned session. |
config
|
An optional config_pb2.ConfigProto to use to configure the session. |
use_gpu
|
If True, attempt to run as many ops as possible on GPU. |
force_gpu
|
If True, pin all ops to /device:GPU:0 .
|
Yields:
A Session object that should be used as a context manager to surround the graph building and execution code in a test case.
captureWritesToStream
@contextlib.contextmanager
captureWritesToStream( stream )
A context manager that captures the writes to a given stream.
This context manager captures all writes to a given stream inside of a
CapturedWrites
object. When this context manager is created, it yields
the CapturedWrites
object. The captured contents can be accessed by
calling .contents()
on the CapturedWrites
.
For this function to work, the stream must have a file descriptor that
can be modified using os.dup
and os.dup2
, and the stream must support
a .flush()
method. The default python sys.stdout and sys.stderr are
examples of this. Note that this does not work in Colab or Jupyter
notebooks, because those use alternate stdout streams.
Example:
class MyOperatorTest(test_util.TensorFlowTestCase):
def testMyOperator(self):
input = [1.0, 2.0, 3.0, 4.0, 5.0]
with self.captureWritesToStream(sys.stdout) as captured:
result = MyOperator(input).eval()
self.assertStartsWith(captured.contents(), "This was printed.")
Args | |
---|---|
stream
|
The stream whose writes should be captured. This stream must have
a file descriptor, support writing via using that file descriptor, and
must have a .flush() method.
|
Yields:
A CapturedWrites
object that contains all writes to the specified stream
made during this context.
checkedThread
checkedThread(
target, args=None, kwargs=None
)
Returns a Thread wrapper that asserts 'target' completes successfully.
This method should be used to create all threads in test cases, as otherwise there is a risk that a thread will silently fail, and/or assertions made in the thread will not be respected.
Args | |
---|---|
target
|
A callable object to be executed in the thread. |
args
|
The argument tuple for the target invocation. Defaults to (). |
kwargs
|
A dictionary of keyword arguments for the target invocation. Defaults to {}. |
Returns | |
---|---|
A wrapper for threading.Thread that supports start() and join() methods. |
countTestCases
countTestCases()
create_tempdir
create_tempdir(
name=None, cleanup=None
)
Create a temporary directory specific to the test.
This creates a named directory on disk that is isolated to this test, and will be properly cleaned up by the test. This avoids several pitfalls of creating temporary directories for test purposes, as well as makes it easier to setup directories and verify their contents. For example:
def test_foo(self):
out_dir = self.create_tempdir()
out_log = out_dir.create_file('output.log')
expected_outputs = [
os.path.join(out_dir, 'data-0.txt'),
os.path.join(out_dir, 'data-1.txt'),
]
code_under_test(out_dir)
self.assertTrue(os.path.exists(expected_paths[0]))
self.assertTrue(os.path.exists(expected_paths[1]))
self.assertEqual('foo', out_log.read_text())
See also: create_tempfile()
for creating temporary files.
Args | |
---|---|
name
|
Optional name of the directory. If not given, a unique name will be generated and used. |
cleanup
|
Optional cleanup policy on when/if to remove the directory (and
all its contents) at the end of the test. If None, then uses
self.tempfile_cleanup .
|
Returns | |
---|---|
A _TempDir representing the created directory; see _TempDir class docs for usage. |
create_tempfile
create_tempfile(
file_path=None, content=None, mode='w', encoding='utf8', errors='strict',
cleanup=None
)
Create a temporary file specific to the test.
This creates a named file on disk that is isolated to this test, and will be properly cleaned up by the test. This avoids several pitfalls of creating temporary files for test purposes, as well as makes it easier to setup files, their data, read them back, and inspect them when a test fails. For example:
def test_foo(self):
output = self.create_tempfile()
code_under_test(output)
self.assertGreater(os.path.getsize(output), 0)
self.assertEqual('foo', output.read_text())
See also: create_tempdir()
for creating temporary directories, and
_TempDir.create_file
for creating files within a temporary directory.
Args | |
---|---|
file_path
|
Optional file path for the temp file. If not given, a unique
file name will be generated and used. Slashes are allowed in the name;
any missing intermediate directories will be created. NOTE: This path is
the path that will be cleaned up, including any directories in the path,
e.g., 'foo/bar/baz.txt' will rm -r foo .
|
content
|
Optional string or bytes to initially write to the file. If not specified, then an empty file is created. |
mode
|
Mode string to use when writing content. Only used if content is
non-empty.
|
encoding
|
Encoding to use when writing string content. Only used if
content is text.
|
errors
|
How to handle text to bytes encoding errors. Only used if
content is text.
|
cleanup
|
Optional cleanup policy on when/if to remove the directory (and
all its contents) at the end of the test. If None, then uses
self.tempfile_cleanup .
|
Returns | |
---|---|
A _TempFile representing the created file; see _TempFile class docs for usage. |
debug
debug()
Run the test without collecting errors in a TestResult
defaultTestResult
defaultTestResult()
doCleanups
doCleanups()
Execute all cleanup functions. Normally called for you after tearDown.
enter_context
enter_context(
manager
)
Returns the CM's value after registering it with the exit stack.
Entering a context pushes it onto a stack of contexts. The context is exited when the test completes. Contexts are are exited in the reverse order of entering. They will always be exited, regardless of test failure/success. The context stack is specific to the test being run.
This is useful to eliminate per-test boilerplate when context managers
are used. For example, instead of decorating every test with @mock.patch
,
simply do self.foo = self.enter_context(mock.patch(...))' in
setUp()`.
Args | |
---|---|
manager
|
The context manager to enter. |
evaluate
evaluate(
tensors
)
Evaluates tensors and returns numpy values.
Args | |
---|---|
tensors
|
A Tensor or a nested list/tuple of Tensors. |
Returns | |
---|---|
tensors numpy values. |
fail
fail(
msg=None, prefix=None
)
Fail immediately with the given message, optionally prefixed.
failIf
failIf(
*args, **kwargs
)
failIfAlmostEqual
failIfAlmostEqual(
*args, **kwargs
)
failIfEqual
failIfEqual(
*args, **kwargs
)
failUnless
failUnless(
*args, **kwargs
)
failUnlessAlmostEqual
failUnlessAlmostEqual(
*args, **kwargs
)
failUnlessEqual
failUnlessEqual(
*args, **kwargs
)
failUnlessRaises
failUnlessRaises(
*args, **kwargs
)
get_temp_dir
get_temp_dir()
Returns a unique temporary directory for the test to use.
If you call this method multiple times during in a test, it will return the same folder. However, across different runs the directories will be different. This will ensure that across different runs tests will not be able to pollute each others environment. If you need multiple unique directories within a single test, you should use tempfile.mkdtemp as follows: tempfile.mkdtemp(dir=self.get_temp_dir()):
Returns | |
---|---|
string, the path to the unique temporary directory created for this test. |
id
id()
run
run(
result=None
)
session
@contextlib.contextmanager
session( graph=None, config=None, use_gpu=False, force_gpu=False )
Returns a TensorFlow Session for use in executing tests.
Note that this will set this session and the graph as global defaults.
Use the use_gpu
and force_gpu
options to control where ops are run. If
force_gpu
is True, all ops are pinned to /device:GPU:0
. Otherwise, if
use_gpu
is True, TensorFlow tries to run as many ops on the GPU as
possible. If both force_gpu and
use_gpu` are False, all ops are pinned to
the CPU.
Example:
class MyOperatorTest(test_util.TensorFlowTestCase):
def testMyOperator(self):
with self.session(use_gpu=True):
valid_input = [1.0, 2.0, 3.0, 4.0, 5.0]
result = MyOperator(valid_input).eval()
self.assertEqual(result, [1.0, 2.0, 3.0, 5.0, 8.0]
invalid_input = [-1.0, 2.0, 7.0]
with self.assertRaisesOpError("negative input not supported"):
MyOperator(invalid_input).eval()
Args | |
---|---|
graph
|
Optional graph to use during the returned session. |
config
|
An optional config_pb2.ConfigProto to use to configure the session. |
use_gpu
|
If True, attempt to run as many ops as possible on GPU. |
force_gpu
|
If True, pin all ops to /device:GPU:0 .
|
Yields:
A Session object that should be used as a context manager to surround the graph building and execution code in a test case.
setUp
setUp()
Hook method for setting up the test fixture before exercising it.
setUpClass
@classmethod
setUpClass()
Hook method for setting up class fixture before running tests in the class.
shortDescription
shortDescription()
Formats both the test method name and the first line of its docstring.
If no docstring is given, only returns the method name.
This method overrides unittest.TestCase.shortDescription(), which only returns the first line of the docstring, obscuring the name of the test upon failure.
Returns | |
---|---|
desc
|
A short description of a test method. |
skipTest
skipTest(
reason
)
Skip this test.
subTest
@contextlib.contextmanager
subTest( msg=_subtest_msg_sentinel, **params )
Return a context manager that will return the enclosed block of code in a subtest identified by the optional message and keyword parameters. A failure in the subtest marks the test case as failed but resumes execution at the end of the enclosed block, allowing further test code to be executed.
tearDown
tearDown()
Hook method for deconstructing the test fixture after testing it.
tearDownClass
@classmethod
tearDownClass()
Hook method for deconstructing the class fixture after running all tests in the class.
test_session
@contextlib.contextmanager
test_session( graph=None, config=None, use_gpu=False, force_gpu=False )
Use cached_session instead. (deprecated)
__call__
__call__(
*args, **kwds
)
Call self as a function.
__eq__
__eq__(
other
)
Return self==value.