Main functions

Comparison

coola.objects_are_allclose

objects_are_allclose(
    actual: Any,
    expected: Any,
    *,
    rtol: float = 1e-05,
    atol: float = 1e-08,
    equal_nan: bool = False,
    show_difference: bool = False,
    tester: BaseEqualityTester | None = None
) -> bool

Indicate if two objects are equal within a tolerance.

Parameters:

Name	Type	Description	Default
actual	Any	The actual input.	required
expected	Any	The expected input.	required
rtol	float	The relative tolerance parameter.	1e-05
atol	float	The absolute tolerance parameter.	1e-08
equal_nan	bool	If True, then two NaNs will be considered as equal.	False
show_difference	bool	If True, it shows a difference between the two objects if they are different. This parameter is useful to find the difference between two objects.	False
tester	BaseEqualityTester | None	The equality tester. If None, EqualityTester is used.	None

Returns:

Type	Description
bool	True if the two objects are (element-wise) equal within a tolerance, otherwise False

Example usage:

>>> import torch
>>> from coola import objects_are_allclose
>>> objects_are_allclose(
...     [torch.ones(2, 3), torch.zeros(2)],
...     [torch.ones(2, 3), torch.zeros(2)],
... )
True
>>> objects_are_allclose(
...     [torch.ones(2, 3), torch.ones(2)],
...     [torch.ones(2, 3), torch.zeros(2)],
... )
False
>>> objects_are_allclose(
...     [torch.ones(2, 3) + 1e-7, torch.ones(2)],
...     [torch.ones(2, 3), torch.ones(2) - 1e-7],
...     rtol=0,
...     atol=1e-8,
... )
False

coola.objects_are_equal

objects_are_equal(
    actual: Any,
    expected: Any,
    *,
    equal_nan: bool = False,
    show_difference: bool = False,
    tester: BaseEqualityTester | None = None
) -> bool

Indicate if two objects are equal or not.

Parameters:

Name	Type	Description	Default
actual	Any	The actual input.	required
expected	Any	The expected input.	required
equal_nan	bool	If True, then two NaNs will be considered as equal.	False
show_difference	bool	If True, it shows a difference between the two objects if they are different. This parameter is useful to find the difference between two objects.	False
tester	BaseEqualityTester | None	The equality tester. If None, EqualityTester is used.	None

Returns:

Type	Description
bool	True if the two nested data are equal, otherwise False.

Example usage:

>>> import torch
>>> from coola import objects_are_equal
>>> objects_are_equal(
...     [torch.ones(2, 3), torch.zeros(2)],
...     [torch.ones(2, 3), torch.zeros(2)],
... )
True
>>> objects_are_equal([torch.ones(2, 3), torch.ones(2)], [torch.ones(2, 3), torch.zeros(2)])
False

Summary

coola.summary

summary(
    value: Any,
    max_depth: int = 1,
    summarizer: BaseSummarizer | None = None,
) -> str

Summarize the input value in a string.

Parameters:

Name	Type	Description	Default
value	Any	The value to summarize.	required
max_depth	int	The maximum depth to summarize if the input is nested.	1
summarizer	BaseSummarizer | None	The summarization strategy. If None, the default Summarizer is used.	None

Returns:

Type	Description
str	The summary as a string.

Example usage:

>>> from coola import summary
>>> print(summary(1))
<class 'int'> 1
>>> print(summary(["abc", "def"]))
<class 'list'> (length=2)
  (0): abc
  (1): def
>>> print(summary([[0, 1, 2], {"key1": "abc", "key2": "def"}]))
<class 'list'> (length=2)
  (0): [0, 1, 2]
  (1): {'key1': 'abc', 'key2': 'def'}
>>> print(summary([[0, 1, 2], {"key1": "abc", "key2": "def"}], max_depth=2))
<class 'list'> (length=2)
  (0): <class 'list'> (length=3)
      (0): 0
      (1): 1
      (2): 2
  (1): <class 'dict'> (length=2)
      (key1): abc
      (key2): def

coola.summarizer_options

summarizer_options(**kwargs: Any) -> None

Context manager that temporarily changes the summarizer options.

Accepted arguments are same as set_summarizer_options. The context manager temporary change the configuration of Summarizer. This context manager has no effect if Summarizer is not used.

Parameters:

Name	Type	Description	Default
**kwargs	Any	Accepted arguments are same as set_summarizer_options.	{}

Example usage:

>>> from coola import summarizer_options, summary
>>> print(summary("abcdefghijklmnopqrstuvwxyz"))
<class 'str'> abcdefghijklmnopqrstuvwxyz
>>> with summarizer_options(max_characters=10):
...     print(summary("abcdefghijklmnopqrstuvwxyz"))
...
<class 'str'> abcdefghij...
>>> print(summary("abcdefghijklmnopqrstuvwxyz"))
<class 'str'> abcdefghijklmnopqrstuvwxyz

coola.set_summarizer_options

set_summarizer_options(
    max_characters: int | None = None,
    max_items: int | None = None,
    num_spaces: int | None = None,
) -> None

Set the Summarizer options.

Note: It is recommended to use summarizer_options rather than this function.

Parameters:

Name	Type	Description	Default
max_characters	int | None	The maximum number of characters to show. If None, the maximum number of characters is unchanged.	None
max_items	int | None	The maximum number of items to show. If None, the maximum number of items is unchanged.	None
num_spaces	int | None	The number of spaces for indentation. If None, the number of spaces for indentation is unchanged.	None

Example usage:

>>> from coola import set_summarizer_options, summary
>>> print(summary("abcdefghijklmnopqrstuvwxyz"))
<class 'str'> abcdefghijklmnopqrstuvwxyz
>>> set_summarizer_options(max_characters=10)
>>> print(summary("abcdefghijklmnopqrstuvwxyz"))
<class 'str'> abcdefghij...
>>> set_summarizer_options(max_characters=-1)
>>> print(summary("abcdefghijklmnopqrstuvwxyz"))
<class 'str'> abcdefghijklmnopqrstuvwxyz