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16,176 | synchronicity.synchronizer | _wrap_type_var | null | def _wrap_type_var(self, obj, interface, name, target_module):
# TypeVar translation is needed only for type stub generation, in case the
# "bound" attribute refers to a translatable type.
# Creates a new identical TypeVar, marked with synchronicity's special attributes
# This lets type stubs "translate" the `bounds` attribute on emitted type vars
# if picked up from module scope and in generics using the base implementation type
# TODO(elias): Refactor - since this isn't used for live apps, move type stub generation into genstub
new_obj = typing.TypeVar(name, bound=obj.__bound__) # noqa
setattr(new_obj, self._original_attr, obj)
setattr(new_obj, SYNCHRONIZER_ATTR, self)
setattr(new_obj, TARGET_INTERFACE_ATTR, interface)
new_obj.__module__ = target_module
if not hasattr(obj, self._wrapped_attr):
setattr(obj, self._wrapped_attr, {})
getattr(obj, self._wrapped_attr)[interface] = new_obj
return new_obj
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16,177 | synchronicity.synchronizer | create_async | null | def create_async(self, obj, name: Optional[str] = None, target_module: Optional[str] = None):
wrapped = self._wrap(obj, Interface.ASYNC, name, target_module=target_module)
return wrapped
| (self, obj, name: Optional[str] = None, target_module: Optional[str] = None) | [
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16,178 | synchronicity.synchronizer | create_blocking | null | def create_blocking(self, obj, name: Optional[str] = None, target_module: Optional[str] = None):
wrapped = self._wrap(obj, Interface.BLOCKING, name, target_module=target_module)
return wrapped
| (self, obj, name: Optional[str] = None, target_module: Optional[str] = None) | [
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16,179 | synchronicity.synchronizer | create_callback | null | def create_callback(self, f, interface):
return Callback(self, f, interface)
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16,180 | synchronicity.synchronizer | is_synchronized | null | def is_synchronized(self, obj):
if inspect.isclass(obj) or inspect.isfunction(obj):
return hasattr(obj, self._original_attr)
else:
return hasattr(obj.__class__, self._original_attr)
| (self, obj) | [
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16,181 | synchronicity.synchronizer | no_input_translation | null | def no_input_translation(self, obj):
setattr(obj, self._input_translation_attr, False)
return obj
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16,182 | synchronicity.synchronizer | no_io_translation | null | def no_io_translation(self, obj):
return self.no_input_translation(self.no_output_translation(obj))
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16,183 | synchronicity.synchronizer | no_output_translation | null | def no_output_translation(self, obj):
setattr(obj, self._output_translation_attr, False)
return obj
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16,184 | synchronicity.synchronizer | nowrap | null | def nowrap(self, obj):
setattr(obj, self._nowrap_attr, True)
return obj
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] |
16,192 | coola.summarizers.base | BaseSummarizer | Define the base class to implement a summarizer.
```pycon
>>> from coola import Summarizer
>>> summarizer = Summarizer()
>>> summarizer
Summarizer(
(<class 'collections.abc.Mapping'>): MappingFormatter(max_items=5, num_spaces=2)
(<class 'collections.abc.Sequence'>): SequenceFormatter(max_items=5, num_spaces=2)
(<class 'dict'>): MappingFormatter(max_items=5, num_spaces=2)
(<class 'list'>): SequenceFormatter(max_items=5, num_spaces=2)
(<class 'object'>): DefaultFormatter(max_characters=-1)
(<class 'set'>): SetFormatter(max_items=5, num_spaces=2)
(<class 'tuple'>): SequenceFormatter(max_items=5, num_spaces=2)
(<class 'numpy.ndarray'>): NDArrayFormatter(show_data=False)
(<class 'torch.Tensor'>): TensorFormatter(show_data=False)
)
>>> print(summarizer.summary(1))
<class 'int'> 1
>>> print(summarizer.summary(["abc", "def"]))
<class 'list'> (length=2)
(0): abc
(1): def
>>> print(summarizer.summary([[0, 1, 2], {"key1": "abc", "key2": "def"}]))
<class 'list'> (length=2)
(0): [0, 1, 2]
(1): {'key1': 'abc', 'key2': 'def'}
>>> print(summarizer.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
```
| class BaseSummarizer(ABC):
r"""Define the base class to implement a summarizer.
```pycon
>>> from coola import Summarizer
>>> summarizer = Summarizer()
>>> summarizer
Summarizer(
(<class 'collections.abc.Mapping'>): MappingFormatter(max_items=5, num_spaces=2)
(<class 'collections.abc.Sequence'>): SequenceFormatter(max_items=5, num_spaces=2)
(<class 'dict'>): MappingFormatter(max_items=5, num_spaces=2)
(<class 'list'>): SequenceFormatter(max_items=5, num_spaces=2)
(<class 'object'>): DefaultFormatter(max_characters=-1)
(<class 'set'>): SetFormatter(max_items=5, num_spaces=2)
(<class 'tuple'>): SequenceFormatter(max_items=5, num_spaces=2)
(<class 'numpy.ndarray'>): NDArrayFormatter(show_data=False)
(<class 'torch.Tensor'>): TensorFormatter(show_data=False)
)
>>> print(summarizer.summary(1))
<class 'int'> 1
>>> print(summarizer.summary(["abc", "def"]))
<class 'list'> (length=2)
(0): abc
(1): def
>>> print(summarizer.summary([[0, 1, 2], {"key1": "abc", "key2": "def"}]))
<class 'list'> (length=2)
(0): [0, 1, 2]
(1): {'key1': 'abc', 'key2': 'def'}
>>> print(summarizer.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
```
"""
@abstractmethod
def summary(
self,
value: Any,
depth: int = 0,
max_depth: int = 1,
) -> str:
r"""Summarize the input value in a string.
Args:
value: Specifies the value to summarize.
depth: Specifies the current depth.
max_depth: Specifies the maximum depth to summarize if the
input is nested.
Returns:
The summary as a string.
Example usage:
```pycon
>>> from coola import Summarizer
>>> summarizer = Summarizer()
>>> print(summarizer.summary(1))
<class 'int'> 1
>>> print(summarizer.summary(["abc", "def"]))
<class 'list'> (length=2)
(0): abc
(1): def
>>> print(summarizer.summary([[0, 1, 2], {"key1": "abc", "key2": "def"}]))
<class 'list'> (length=2)
(0): [0, 1, 2]
(1): {'key1': 'abc', 'key2': 'def'}
>>> print(summarizer.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
```
"""
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] |
16,193 | coola.summarizers.base | summary | Summarize the input value in a string.
Args:
value: Specifies the value to summarize.
depth: Specifies the current depth.
max_depth: Specifies the maximum depth to summarize if the
input is nested.
Returns:
The summary as a string.
Example usage:
```pycon
>>> from coola import Summarizer
>>> summarizer = Summarizer()
>>> print(summarizer.summary(1))
<class 'int'> 1
>>> print(summarizer.summary(["abc", "def"]))
<class 'list'> (length=2)
(0): abc
(1): def
>>> print(summarizer.summary([[0, 1, 2], {"key1": "abc", "key2": "def"}]))
<class 'list'> (length=2)
(0): [0, 1, 2]
(1): {'key1': 'abc', 'key2': 'def'}
>>> print(summarizer.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
```
| @abstractmethod
def summary(
self,
value: Any,
depth: int = 0,
max_depth: int = 1,
) -> str:
r"""Summarize the input value in a string.
Args:
value: Specifies the value to summarize.
depth: Specifies the current depth.
max_depth: Specifies the maximum depth to summarize if the
input is nested.
Returns:
The summary as a string.
Example usage:
```pycon
>>> from coola import Summarizer
>>> summarizer = Summarizer()
>>> print(summarizer.summary(1))
<class 'int'> 1
>>> print(summarizer.summary(["abc", "def"]))
<class 'list'> (length=2)
(0): abc
(1): def
>>> print(summarizer.summary([[0, 1, 2], {"key1": "abc", "key2": "def"}]))
<class 'list'> (length=2)
(0): [0, 1, 2]
(1): {'key1': 'abc', 'key2': 'def'}
>>> print(summarizer.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
```
"""
| (self, value: Any, depth: int = 0, max_depth: int = 1) -> str | [
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] |
16,194 | coola.reduction | Reduction | Implement the class that defines the reduction strategy. | class Reduction:
r"""Implement the class that defines the reduction strategy."""
reducer = auto_reducer()
@classmethod
def available_reducers(cls) -> tuple[str, ...]:
"""Get the available reducers.
Returns:
The available reducers.
Example usage:
```pycon
>>> from coola import Reduction
>>> Reduction.available_reducers()
(...)
```
"""
return ReducerRegistry.available_reducers()
@classmethod
def check_reducer(cls, reducer: str) -> None:
r"""Check if the reducer is available.
Args:
reducer: Specifies the reducer name.
Raises:
RuntimeError: if the reducer is not available.
Example usage:
```pycon
>>> from coola import Reduction
>>> Reduction.check_reducer("torch")
```
"""
if reducer not in (reducers := cls.available_reducers()):
msg = f"Incorrect reducer {reducer}. Reducer should be one of {reducers}"
raise RuntimeError(msg)
@classmethod
def initialize(cls, reducer: str) -> None:
r"""Initialize the reduction strategy.
Args:
reducer: Specifies the name of the reducer to use.
Example usage:
```pycon
>>> from coola import Reduction
>>> Reduction.initialize("torch")
```
"""
cls.check_reducer(reducer)
cls.reducer = ReducerRegistry.registry[reducer]
| () | [
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] |
16,195 | coola.summarizers.summarizer | Summarizer | Implement the default summarizer.
The registry is a class variable, so it is shared with all the
instances of this class.
Example usage:
```pycon
>>> from coola import Summarizer
>>> summarizer = Summarizer()
>>> summarizer
Summarizer(
(<class 'collections.abc.Mapping'>): MappingFormatter(max_items=5, num_spaces=2)
(<class 'collections.abc.Sequence'>): SequenceFormatter(max_items=5, num_spaces=2)
(<class 'dict'>): MappingFormatter(max_items=5, num_spaces=2)
(<class 'list'>): SequenceFormatter(max_items=5, num_spaces=2)
(<class 'object'>): DefaultFormatter(max_characters=-1)
(<class 'set'>): SetFormatter(max_items=5, num_spaces=2)
(<class 'tuple'>): SequenceFormatter(max_items=5, num_spaces=2)
(<class 'numpy.ndarray'>): NDArrayFormatter(show_data=False)
(<class 'torch.Tensor'>): TensorFormatter(show_data=False)
)
>>> print(summarizer.summary(1))
<class 'int'> 1
>>> print(summarizer.summary(["abc", "def"]))
<class 'list'> (length=2)
(0): abc
(1): def
>>> print(summarizer.summary([[0, 1, 2], {"key1": "abc", "key2": "def"}]))
<class 'list'> (length=2)
(0): [0, 1, 2]
(1): {'key1': 'abc', 'key2': 'def'}
>>> print(summarizer.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
```
| class Summarizer(BaseSummarizer):
"""Implement the default summarizer.
The registry is a class variable, so it is shared with all the
instances of this class.
Example usage:
```pycon
>>> from coola import Summarizer
>>> summarizer = Summarizer()
>>> summarizer
Summarizer(
(<class 'collections.abc.Mapping'>): MappingFormatter(max_items=5, num_spaces=2)
(<class 'collections.abc.Sequence'>): SequenceFormatter(max_items=5, num_spaces=2)
(<class 'dict'>): MappingFormatter(max_items=5, num_spaces=2)
(<class 'list'>): SequenceFormatter(max_items=5, num_spaces=2)
(<class 'object'>): DefaultFormatter(max_characters=-1)
(<class 'set'>): SetFormatter(max_items=5, num_spaces=2)
(<class 'tuple'>): SequenceFormatter(max_items=5, num_spaces=2)
(<class 'numpy.ndarray'>): NDArrayFormatter(show_data=False)
(<class 'torch.Tensor'>): TensorFormatter(show_data=False)
)
>>> print(summarizer.summary(1))
<class 'int'> 1
>>> print(summarizer.summary(["abc", "def"]))
<class 'list'> (length=2)
(0): abc
(1): def
>>> print(summarizer.summary([[0, 1, 2], {"key1": "abc", "key2": "def"}]))
<class 'list'> (length=2)
(0): [0, 1, 2]
(1): {'key1': 'abc', 'key2': 'def'}
>>> print(summarizer.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
```
"""
registry: ClassVar[dict[type[object], BaseFormatter]] = {
Mapping: MappingFormatter(),
Sequence: SequenceFormatter(),
dict: MappingFormatter(),
list: SequenceFormatter(),
object: DefaultFormatter(),
set: SetFormatter(),
tuple: SequenceFormatter(),
}
def __repr__(self) -> str:
return f"{self.__class__.__qualname__}(\n {str_indent(str_mapping(self.registry))}\n)"
def summary(
self,
value: Any,
depth: int = 0,
max_depth: int = 1,
) -> str:
return self.find_formatter(type(value)).format(
summarizer=self,
value=value,
depth=depth,
max_depth=max_depth,
)
@classmethod
def add_formatter(
cls, data_type: type[object], formatter: BaseFormatter, exist_ok: bool = False
) -> None:
r"""Add a formatter for a given data type.
Args:
data_type: Specifies the data type for this test.
formatter: Specifies the formatter to use for the
specified type.
exist_ok: If ``False``, ``RuntimeError`` is raised if the
data type already exists. This parameter should be set
to ``True`` to overwrite the formatter for a type.
Raises:
RuntimeError: if a formatter is already registered for the
data type and ``exist_ok=False``.
Example usage:
```pycon
>>> from coola import Summarizer
>>> from coola.formatters import MappingFormatter
>>> Summarizer.add_formatter(dict, MappingFormatter(), exist_ok=True)
```
"""
if data_type in cls.registry and not exist_ok:
msg = (
f"A formatter ({cls.registry[data_type]}) is already registered for the data "
f"type {data_type}. Please use `exist_ok=True` if you want to overwrite the "
"formatter for this type"
)
raise RuntimeError(msg)
cls.registry[data_type] = formatter
@classmethod
def has_formatter(cls, data_type: type[object]) -> bool:
r"""Indicate if a formatter is registered for the given data
type.
Args:
data_type: Specifies the data type to check.
Returns:
``True`` if a formatter is registered,
otherwise ``False``.
Example usage:
```pycon
>>> from coola import Summarizer
>>> Summarizer.has_formatter(list)
True
>>> Summarizer.has_formatter(str)
False
```
"""
return data_type in cls.registry
@classmethod
def find_formatter(cls, data_type: Any) -> BaseFormatter:
r"""Find the formatter associated to an object.
Args:
data_type: Specifies the data type to get.
Returns:
The formatter associated to the data type.
Raises:
TypeError: if a formatter cannot be found for this data
type.
Example usage:
```pycon
>>> from coola import Summarizer
>>> Summarizer.find_formatter(list)
SequenceFormatter(max_items=5, num_spaces=2)
>>> Summarizer.find_formatter(str)
DefaultFormatter(max_characters=-1)
```
"""
for object_type in data_type.__mro__:
formatter = cls.registry.get(object_type, None)
if formatter is not None:
return formatter
msg = f"Incorrect data type: {data_type}"
raise TypeError(msg)
@classmethod
def load_state_dict(cls, state: dict) -> None:
r"""Load the state values from a dict.
Args:
state: A dictionary with state values.
Example usage:
```pycon
>>> from coola import Summarizer
>>> Summarizer.load_state_dict({object: {"max_characters": 10}})
>>> summarizer = Summarizer()
>>> summarizer.registry[object]
DefaultFormatter(max_characters=10)
>>> Summarizer.load_state_dict({object: {"max_characters": -1}})
>>> summarizer.registry[object]
DefaultFormatter(max_characters=-1)
```
"""
for data_type, formatter in cls.registry.items():
if (s := state.get(data_type)) is not None:
formatter.load_state_dict(s)
@classmethod
def state_dict(cls) -> dict:
r"""Return a dictionary containing state values.
Returns:
The state values in a dict.
Example usage:
```pycon
>>> from coola import Summarizer
>>> Summarizer.state_dict()
{<class 'collections.abc.Mapping'>: {'max_items': 5, 'num_spaces': 2},...}
```
"""
return {data_type: formatter.state_dict() for data_type, formatter in cls.registry.items()}
@classmethod
def set_max_characters(cls, max_characters: int) -> None:
r"""Set the maximum of characters for the compatible formatter to
the specified value.
To be updated, the formatters need to implement the method
``set_max_characters``.
Args:
max_characters: Specifies the maximum of characters.
Example usage:
```pycon
>>> from coola import Summarizer
>>> Summarizer.set_max_characters(10)
>>> summarizer = Summarizer()
>>> summarizer.registry[object]
DefaultFormatter(max_characters=10)
>>> Summarizer.set_max_characters(-1)
>>> summarizer.registry[object]
DefaultFormatter(max_characters=-1)
```
"""
for formatter in cls.registry.values():
if hasattr(formatter, "set_max_characters"):
formatter.set_max_characters(max_characters)
@classmethod
def set_max_items(cls, max_items: int) -> None:
r"""Set the maximum number of items for the compatible formatter
to the specified value.
To be updated, the formatters need to implement the method
``set_max_items``.
Args:
max_items: Specifies the maximum number of items to show.
Example usage:
```pycon
>>> from coola import Summarizer
>>> Summarizer.set_max_items(10)
>>> summarizer = Summarizer()
>>> summarizer.registry[dict]
MappingFormatter(max_items=10, num_spaces=2)
>>> Summarizer.set_max_items(5)
>>> summarizer.registry[dict]
MappingFormatter(max_items=5 | () | [
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16,196 | coola.summarizers.summarizer | __repr__ | null | def __repr__(self) -> str:
return f"{self.__class__.__qualname__}(\n {str_indent(str_mapping(self.registry))}\n)"
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16,197 | coola.summarizers.summarizer | summary | null | def summary(
self,
value: Any,
depth: int = 0,
max_depth: int = 1,
) -> str:
return self.find_formatter(type(value)).format(
summarizer=self,
value=value,
depth=depth,
max_depth=max_depth,
)
| (self, value: Any, depth: int = 0, max_depth: int = 1) -> str | [
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16,201 | coola.comparison | objects_are_allclose | Indicate if two objects are equal within a tolerance.
Args:
actual: Specifies the actual input.
expected: Specifies the expected input.
rtol: Specifies the relative tolerance parameter.
atol: Specifies the absolute tolerance parameter.
equal_nan: If ``True``, then two ``NaN``s will be considered
as equal.
show_difference: 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.
tester: Specifies an equality tester. If ``None``,
``EqualityTester`` is used.
Returns:
``True`` if the two objects are (element-wise) equal within a
tolerance, otherwise ``False``
Example usage:
```pycon
>>> 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
```
| def objects_are_allclose(
actual: Any,
expected: Any,
*,
rtol: float = 1e-5,
atol: float = 1e-8,
equal_nan: bool = False,
show_difference: bool = False,
tester: BaseEqualityTester | None = None,
) -> bool:
r"""Indicate if two objects are equal within a tolerance.
Args:
actual: Specifies the actual input.
expected: Specifies the expected input.
rtol: Specifies the relative tolerance parameter.
atol: Specifies the absolute tolerance parameter.
equal_nan: If ``True``, then two ``NaN``s will be considered
as equal.
show_difference: 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.
tester: Specifies an equality tester. If ``None``,
``EqualityTester`` is used.
Returns:
``True`` if the two objects are (element-wise) equal within a
tolerance, otherwise ``False``
Example usage:
```pycon
>>> 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
```
"""
tester = tester or _tester
config = EqualityConfig(
tester=tester, show_difference=show_difference, equal_nan=equal_nan, atol=atol, rtol=rtol
)
return tester.equal(actual, expected, config)
| (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' | [
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16,202 | coola.comparison | objects_are_equal | Indicate if two objects are equal or not.
Args:
actual: Specifies the actual input.
expected: Specifies the expected input.
equal_nan: If ``True``, then two ``NaN``s will be considered
as equal.
show_difference: 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.
tester: Specifies an equality tester. If ``None``,
``EqualityTester`` is used.
Returns:
``True`` if the two nested data are equal, otherwise
``False``.
Example usage:
```pycon
>>> 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
```
| def objects_are_equal(
actual: Any,
expected: Any,
*,
equal_nan: bool = False,
show_difference: bool = False,
tester: BaseEqualityTester | None = None,
) -> bool:
r"""Indicate if two objects are equal or not.
Args:
actual: Specifies the actual input.
expected: Specifies the expected input.
equal_nan: If ``True``, then two ``NaN``s will be considered
as equal.
show_difference: 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.
tester: Specifies an equality tester. If ``None``,
``EqualityTester`` is used.
Returns:
``True`` if the two nested data are equal, otherwise
``False``.
Example usage:
```pycon
>>> 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
```
"""
tester = tester or _tester
config = EqualityConfig(tester=tester, show_difference=show_difference, equal_nan=equal_nan)
return tester.equal(actual, expected, config)
| (actual: 'Any', expected: 'Any', *, equal_nan: 'bool' = False, show_difference: 'bool' = False, tester: 'BaseEqualityTester | None' = None) -> 'bool' | [
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] |
16,205 | coola.summarizers.summarizer | set_summarizer_options | Set the ``Summarizer`` options.
Note: It is recommended to use ``summarizer_options`` rather than
this function.
Args:
max_characters: Specifies the maximum number of characters
to show. If ``None``, the maximum number of characters
is unchanged.
max_items: Specifies the maximum number of items to show.
If ``None``, the maximum number of items is unchanged.
num_spaces: Specifies the number of spaces for indentation.
If ``None``, the number of spaces for indentation is
unchanged.
Example usage:
```pycon
>>> 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
```
| def set_summarizer_options(
max_characters: int | None = None, max_items: int | None = None, num_spaces: int | None = None
) -> None:
r"""Set the ``Summarizer`` options.
Note: It is recommended to use ``summarizer_options`` rather than
this function.
Args:
max_characters: Specifies the maximum number of characters
to show. If ``None``, the maximum number of characters
is unchanged.
max_items: Specifies the maximum number of items to show.
If ``None``, the maximum number of items is unchanged.
num_spaces: Specifies the number of spaces for indentation.
If ``None``, the number of spaces for indentation is
unchanged.
Example usage:
```pycon
>>> 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
```
"""
if max_characters is not None:
Summarizer.set_max_characters(max_characters)
if max_items is not None:
Summarizer.set_max_items(max_items)
if num_spaces is not None:
Summarizer.set_num_spaces(num_spaces)
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] |
16,207 | coola.summarizers.summarizer | summarizer_options | 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.
Args:
**kwargs: Accepted arguments are same as
``set_summarizer_options``.
Example usage:
```pycon
>>> 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
```
| @classmethod
def set_max_items(cls, max_items: int) -> None:
r"""Set the maximum number of items for the compatible formatter
to the specified value.
To be updated, the formatters need to implement the method
``set_max_items``.
Args:
max_items: Specifies the maximum number of items to show.
Example usage:
```pycon
>>> from coola import Summarizer
>>> Summarizer.set_max_items(10)
>>> summarizer = Summarizer()
>>> summarizer.registry[dict]
MappingFormatter(max_items=10, num_spaces=2)
>>> Summarizer.set_max_items(5)
>>> summarizer.registry[dict]
MappingFormatter(max_items=5, num_spaces=2)
```
"""
for formatter in cls.registry.values():
if hasattr(formatter, "set_max_items"):
formatter.set_max_items(max_items)
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] |
16,209 | coola.summarization | summary | Summarize the input value in a string.
Args:
value: Specifies the value to summarize.
max_depth: Specifies the maximum depth to summarize if the
input is nested.
summarizer: Specifies the summarization strategy. If ``None``,
the default ``Summarizer`` is used.
Returns:
The summary as a string.
Example usage:
```pycon
>>> 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
```
| def summary(value: Any, max_depth: int = 1, summarizer: BaseSummarizer | None = None) -> str:
r"""Summarize the input value in a string.
Args:
value: Specifies the value to summarize.
max_depth: Specifies the maximum depth to summarize if the
input is nested.
summarizer: Specifies the summarization strategy. If ``None``,
the default ``Summarizer`` is used.
Returns:
The summary as a string.
Example usage:
```pycon
>>> 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
```
"""
summarizer = summarizer or Summarizer()
return summarizer.summary(value=value, depth=0, max_depth=max_depth)
| (value: 'Any', max_depth: 'int' = 1, summarizer: 'BaseSummarizer | None' = None) -> 'str' | [
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16,212 | exif._constants | ColorSpace | Color space specifier. | class ColorSpace(IntEnum):
"""Color space specifier."""
SRGB = 1
"sRBG"
UNCALIBRATED = 0xFFFF
"Uncalibrated or Other"
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16,213 | exif._constants | ExposureMode | Exposure mode set when the image was shot. | class ExposureMode(IntEnum):
"""Exposure mode set when the image was shot."""
AUTO_EXPOSURE = 0
"""Auto Exposure"""
MANUAL_EXPOSURE = 1
"""Manual Exposure"""
AUTO_BRACKET = 2
"""Auto Bracket"""
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16,214 | exif._constants | ExposureProgram | Class of the program used by the camera to set exposure when the picture is taken. | class ExposureProgram(IntEnum):
"""Class of the program used by the camera to set exposure when the picture is taken."""
NOT_DEFINED = 0
"""Not Defined"""
MANUAL = 1
"""Manual"""
NORMAL_PROGRAM = 2
"""Normal Program"""
APERTURE_PRIORITY = 3
"""Aperture Priority"""
SHUTTER_PRIORITY = 4
"""Shutter Priority"""
CREATIVE_PROGRAM = 5
"""Creative Program (Biased Toward Depth of Field)"""
ACTION_PROGRAM = 6
"""Action Program (Biased Toward Fast Shutter Speed)"""
PORTRAIT_MODE = 7
"""Portrait Mode (For Closeup Photos with the Background out of Focus)"""
LANDSCAPE_MODE = 8
"""Landscape Kode (For Landscape Photos with the Background in Focus)"""
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16,215 | exif._datatypes | Flash | Status of the camera's flash when the image was taken. (Reported by the ``flash`` tag.) | class Flash(BitFields, nbytes=1): # type: ignore
"""Status of the camera's flash when the image was taken. (Reported by the ``flash`` tag.)"""
flash_fired: bool = bitfield(typ=bool, size=1)
flash_return: FlashReturn = bitfield(typ=FlashReturn, size=2)
flash_mode: FlashMode = bitfield(typ=FlashMode, size=2)
flash_function_not_present: bool = bitfield(typ=bool, size=1)
red_eye_reduction_supported: bool = bitfield(typ=bool, size=1)
reserved: int = bitfield(typ=int, size=1)
| (*, flash_fired: bool, flash_return: exif._datatypes.FlashReturn, flash_mode: exif._datatypes.FlashMode, flash_function_not_present: bool, red_eye_reduction_supported: bool, reserved: int) -> None | [
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16,216 | plum.bitfields | __abs__ | null | def __abs__(self):
return self.__value__
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16,217 | plum.bitfields | __add__ | null | def __add__(self, other):
return int.__add__(self.__value__, other)
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16,218 | plum.bitfields | __and__ | null | def __and__(self, other):
return int.__and__(self.__value__, other)
| (self, other) | [
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16,219 | plum.bitfields | __bool__ | null | def __bool__(self):
return int.__bool__(self.__value__ & type(self).__compare_mask__)
| (self) | [
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16,220 | plum.bitfields | __divmod__ | null | def __divmod__(self, other):
return int.__divmod__(self.__value__, other)
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16,221 | plum.bitfields | __eq__ | null | def __eq__(self, other):
value, other = self._normalize_for_compare(self.__value__, other)
return int.__eq__(value, other)
| (self, other) | [
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16,222 | plum.bitfields | __float__ | null | def __float__(self):
return int.__float__(self.__value__)
| (self) | [
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16,223 | plum.bitfields | __floordiv__ | null | def __floordiv__(self, other):
return int.__floordiv__(self.__value__, other)
| (self, other) | [
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16,224 | plum.bitfields | __ge__ | null | def __ge__(self, other):
value, other = self._normalize_for_compare(self.__value__, other)
return int.__ge__(value, other)
| (self, other) | [
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16,225 | plum.bitfields | __getitem__ | null | def __getitem__(self, index):
nbits = self.__nbytes__ * 8
mask = 1
bits = []
value = int(self)
while nbits:
bits.append(bool(value & mask))
mask <<= 1
nbits -= 1
return bits[index]
| (self, index) | [
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16,226 | plum.bitfields | __gt__ | null | def __gt__(self, other):
value, other = self._normalize_for_compare(self.__value__, other)
return int.__gt__(value, other)
| (self, other) | [
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16,227 | plum.bitfields | __hash__ | null | def __hash__(self):
return int.__hash__(self.__value__ & type(self).__compare_mask__)
| (self) | [
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16,228 | plum.bitfields | __iadd__ | null | def __iadd__(self, other):
return self.__value__ + other
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16,229 | plum.bitfields | __iand__ | null | def __iand__(self, other):
return self.__value__ & other
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16,230 | plum.bitfields | __ifloordiv__ | null | def __ifloordiv__(self, other):
return self.__value__ // other
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16,231 | plum.bitfields | __ilshift__ | null | def __ilshift__(self, other):
return self.__value__ << other
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16,232 | plum.bitfields | __imod__ | null | def __imod__(self, other):
return self.__value__ % other
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16,233 | plum.bitfields | __imul__ | null | def __imul__(self, other):
return self.__value__ * other
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16,234 | plum.bitfields | __index__ | null | def __index__(self):
return int.__index__(self.__value__)
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] |
16,235 | null | __init__ | null | from builtins import function
| (self, *, flash_fired: bool, flash_return: 'FlashReturn', flash_mode: 'FlashMode', flash_function_not_present: bool, red_eye_reduction_supported: bool, reserved: int) -> None | [
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16,236 | plum.bitfields | __int__ | null | def __int__(self):
return self.__value__
| (self) | [
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16,237 | plum.bitfields | __invert__ | null | def __invert__(self):
return ~self.__value__
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16,238 | plum.bitfields | __ior__ | null | def __ior__(self, other):
return self.__value__ | other
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16,239 | plum.bitfields | __irshift__ | null | def __irshift__(self, other):
return self.__value__ >> other
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16,240 | plum.bitfields | __isub__ | null | def __isub__(self, other):
return self.__value__ - other
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16,241 | plum.bitfields | __itruediv__ | null | def __itruediv__(self, other):
return self.__value__ / other
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16,242 | plum.bitfields | __ixor__ | null | def __ixor__(self, other):
return self.__value__ ^ other
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16,243 | plum.bitfields | __le__ | null | def __le__(self, other):
value, other = self._normalize_for_compare(self.__value__, other)
return int.__le__(value, other)
| (self, other) | [
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16,244 | plum.bitfields | __lshift__ | null | def __lshift__(self, other):
return int.__lshift__(self.__value__, other)
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16,245 | plum.bitfields | __lt__ | null | def __lt__(self, other):
value, other = self._normalize_for_compare(self.__value__, other)
return int.__lt__(value, other)
| (self, other) | [
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16,246 | plum.bitfields | __mod__ | null | def __mod__(self, other):
return int.__mod__(self.__value__, other)
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16,247 | plum.bitfields | __mul__ | null | def __mul__(self, other):
return int.__mul__(self.__value__, other)
| (self, other) | [
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16,248 | plum.bitfields | __ne__ | null | def __ne__(self, other):
value, other = self._normalize_for_compare(self.__value__, other)
return int.__ne__(value, other)
| (self, other) | [
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16,249 | plum.bitfields | __neg__ | null | def __neg__(self):
return -self.__value__
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16,250 | plum.bitfields | __or__ | null | def __or__(self, other):
return int.__or__(self.__value__, other)
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16,251 | plum.bitfields | __pos__ | null | def __pos__(self):
return self.__value__
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] |
16,252 | plum.bitfields | __pow__ | null | def __pow__(self, other, *args):
return int.__pow__(self.__value__, other, *args)
| (self, other, *args) | [
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16,253 | plum.bitfields | __radd__ | null | def __radd__(self, other):
return int.__radd__(self.__value__, other)
| (self, other) | [
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16,254 | plum.bitfields | __rand__ | null | def __rand__(self, other):
return int.__rand__(self.__value__, other)
| (self, other) | [
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16,255 | plum.bitfields | __rdivmod__ | null | def __rdivmod__(self, other):
return int.__rdivmod__(self.__value__, other)
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16,257 | plum.bitfields | __rfloordiv__ | null | def __rfloordiv__(self, other):
return int.__rfloordiv__(self.__value__, other)
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16,258 | plum.bitfields | __rlshift__ | null | def __rlshift__(self, other):
return int.__rlshift__(self.__value__, other)
| (self, other) | [
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16,259 | plum.bitfields | __rmod__ | null | def __rmod__(self, other):
return int.__rmod__(self.__value__, other)
| (self, other) | [
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] |
16,260 | plum.bitfields | __rmul__ | null | def __rmul__(self, other):
return int.__rmul__(self.__value__, other)
| (self, other) | [
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16,261 | plum.bitfields | __ror__ | null | def __ror__(self, other):
return int.__ror__(self.__value__, other)
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16,262 | plum.bitfields | __round__ | null | def __round__(self, *args):
return int.__round__(self.__value__, *args)
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] |
16,263 | plum.bitfields | __rpow__ | null | def __rpow__(self, other, *args):
return int.__rpow__(self.__value__, other, *args)
| (self, other, *args) | [
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16,264 | plum.bitfields | __rrshift__ | null | def __rrshift__(self, other):
return int.__rrshift__(self.__value__, other)
| (self, other) | [
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16,265 | plum.bitfields | __rshift__ | null | def __rshift__(self, other):
return int.__rshift__(self.__value__, other)
| (self, other) | [
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16,266 | plum.bitfields | __rsub__ | null | def __rsub__(self, other):
return int.__rsub__(self.__value__, other)
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16,267 | plum.bitfields | __rtruediv__ | null | def __rtruediv__(self, other):
return int.__rtruediv__(self.__value__, other)
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16,268 | plum.bitfields | __rxor__ | null | def __rxor__(self, other):
return int.__rxor__(self.__value__, other)
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16,269 | plum.bitfields | __setattr__ | null | def __setattr__(self, key, value):
if key.startswith("__") or key in self.__fields__:
super().__setattr__(key, value)
else:
raise AttributeError(f"{type(self).__name__!r} has no attribute {key!r}")
| (self, key, value) | [
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] |
16,270 | plum.bitfields | __setitem__ | null | def __setitem__(self, index, value):
bits = self[:]
nbits = len(bits)
bits[index] = value
if len(bits) != nbits:
raise ValueError("slice and value not same length")
i = 0
mask = 1
for bit in bits:
if bit:
i |= mask
mask <<= 1
self.__value__ = i
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16,271 | plum.bitfields | __sub__ | null | def __sub__(self, other):
return int.__sub__(self.__value__, other)
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16,272 | plum.bitfields | __truediv__ | null | def __truediv__(self, other):
return int.__truediv__(self.__value__, other)
| (self, other) | [
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16,273 | plum.bitfields | __xor__ | null | def __xor__(self, other):
return int.__xor__(self.__value__, other)
| (self, other) | [
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] |
16,274 | plum.bitfields | asdict | Return bit field values in dictionary form.
:returns: bit field names/values
:rtype: dict
| def asdict(self):
"""Return bit field values in dictionary form.
:returns: bit field names/values
:rtype: dict
"""
return {name: getattr(self, name) for name in self.__fields__}
| (self) | [
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16,275 | plum.data | ipack | Pack instance as bytes.
:raises: ``PackError`` if type error, value error, etc.
| def ipack(self) -> bytes:
"""Pack instance as bytes.
:raises: ``PackError`` if type error, value error, etc.
"""
pieces: List[bytes] = []
try:
# None -> dump
self.__pack__(self, pieces, None)
except Exception as exc:
# do it over to include dump in exception message
self.ipack_and_dump()
raise exceptions.ImplementationError() from exc # pragma: no cover
return b"".join(pieces)
| (self) -> bytes | [
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] |
16,276 | plum.data | ipack_and_dump | Pack instance as bytes and produce bytes summary.
:raises: ``PackError`` if type error, value error, etc.
| def ipack_and_dump(self) -> Tuple[bytes, _dump.Dump]:
"""Pack instance as bytes and produce bytes summary.
:raises: ``PackError`` if type error, value error, etc.
"""
dmp = _dump.Dump()
pieces: List[bytes] = []
try:
self.__pack__(self, pieces, dmp.add_record(fmt=type(self).name))
except Exception as exc:
raise exceptions.PackError(dump=dmp, exception=exc) from exc
return b"".join(pieces), dmp
| (self) -> Tuple[bytes, plum.dump.Dump] | [
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16,277 | exif._datatypes | FlashMode | Flash mode of the camera. | class FlashMode(IntFlag):
"""Flash mode of the camera."""
UNKNOWN = 0
COMPULSORY_FLASH_FIRING = 1
COMPULSORY_FLASH_SUPPRESSION = 2
AUTO_MODE = 3
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16,278 | exif._datatypes | FlashReturn | Flash status of returned light. | class FlashReturn(IntFlag):
"""Flash status of returned light."""
NO_STROBE_RETURN_DETECTION_FUNCTION = 0
RESERVED = 1
STROBE_RETURN_LIGHT_DETECTED = 2
STROBE_RETURN_LIGHT_NOT_DETECTED = 3
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16,279 | exif._constants | GpsAltitudeRef | Altitude used as the reference altitude. | class GpsAltitudeRef(IntEnum):
"""Altitude used as the reference altitude."""
ABOVE_SEA_LEVEL = 0
"""Above Sea Level"""
BELOW_SEA_LEVEL = 1
"""Below Sea Level"""
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] |
16,280 | exif._image | Image | Image EXIF metadata interface class.
:param img_file: image file with EXIF metadata
:type image_file: str (file path), bytes (already-read contents), or File
| class Image:
"""Image EXIF metadata interface class.
:param img_file: image file with EXIF metadata
:type image_file: str (file path), bytes (already-read contents), or File
"""
def _parse_segments(self, img_bytes: bytes) -> None:
cursor = 0
# Traverse hexadecimal string until EXIF APP1 segment found.
while img_bytes[cursor : cursor + len(ExifMarkers.APP1)] != ExifMarkers.APP1:
cursor += len(ExifMarkers.APP1)
if cursor > len(img_bytes):
self._has_exif = False
cursor = 2 # should theoretically go after SOI marker (if adding)
break
self._segments["preceding"] = img_bytes[:cursor]
app1_start_index = cursor
if self._has_exif:
# Determine the expected length of the APP1 segment.
app1_len = uint16.unpack(
img_bytes[app1_start_index + 2 : app1_start_index + 4]
)
cursor += app1_len + 2 # skip APP1 marker and all data
# If the expected length stops early, keep traversing until another section is found.
while img_bytes[cursor : cursor + 1] != ExifMarkers.SEG_PREFIX:
cursor += 1
# raise IOError("no subsequent EXIF segment found, is this an EXIF-encoded JPEG?")
if cursor > len(img_bytes):
self._has_exif = False
break
if self._has_exif:
# Instantiate an APP1 segment object to create an EXIF tag interface.
self._segments["APP1"] = App1MetaData(img_bytes[app1_start_index:cursor])
self._segments["succeeding"] = img_bytes[cursor:]
else:
# Store the remainder of the image so that it can be reconstructed when exporting.
self._segments["succeeding"] = img_bytes[app1_start_index:]
def __init__(
self,
img_file: Union[BinaryIO, bytes, str], # pylint: disable=unsubscriptable-object
) -> None:
self._has_exif = True
self._segments: Dict[
str, Union[App1MetaData, bytes] # pylint: disable=unsubscriptable-object
] = {}
if hasattr(img_file, "read"):
img_bytes = img_file.read() # type: ignore
elif isinstance(img_file, bytes):
img_bytes = img_file
elif os.path.isfile(img_file): # type: ignore
with open(img_file, "rb") as file_descriptor: # type: ignore
img_bytes = file_descriptor.read()
else: # pragma: no cover
raise ValueError("expected file object, file path as str, or bytes")
self._parse_segments(img_bytes)
def __dir__(self) -> List[str]:
members = [
"delete",
"delete_all",
"get",
"get_all",
"get_file",
"get_thumbnail",
"has_exif",
"list_all",
"_segments",
]
if self._has_exif:
assert isinstance(self._segments["APP1"], App1MetaData)
members += self._segments["APP1"].get_tag_list()
return members
def __getattr__(self, item):
return getattr(self._segments["APP1"], item)
def __setattr__(self, key, value):
try:
ATTRIBUTE_ID_MAP[key.lower()]
except KeyError:
super(Image, self).__setattr__(key, value)
else:
if not self._has_exif:
self._segments["APP1"] = App1MetaData(generate_empty_app1_bytes())
self._has_exif = True
setattr(self._segments["APP1"], key.lower(), value)
def __delattr__(self, item):
try:
ATTRIBUTE_ID_MAP[item]
except KeyError:
super(Image, self).__delattr__(item)
else:
delattr(self._segments["APP1"], item)
def __getitem__(self, item):
return self.__getattr__(item)
def __setitem__(self, key, value):
self.__setattr__(key, value)
def __delitem__(self, key):
self.__delattr__(key)
def delete(self, attribute: str) -> None:
"""Remove the specified attribute from the image.
:param attribute: image EXIF attribute name
"""
delattr(self, attribute)
def delete_all(self) -> None:
"""Remove all EXIF tags from the image."""
for _ in range(
2
): # iterate twice to delete thumbnail tags the second time around
assert isinstance(self._segments["APP1"], App1MetaData)
for tag in self._segments["APP1"].get_tag_list():
if not tag in ["_exif_ifd_pointer", "_gps_ifd_pointer", "exif_version"]:
try:
delattr(self, tag)
except AttributeError:
warnings.warn("could not delete tag " + tag, RuntimeWarning)
self._parse_segments(self.get_file())
def get(self, attribute: str, default: Any = None) -> Any:
"""Return the value of the specified tag.
If the attribute is not available or set, return the value specified by the ``default``
keyword argument.
:param attribute: image EXIF attribute name
:param default: return value if attribute does not exist
:returns: tag value if present, ``default`` otherwise
:rtype: corresponding Python type
"""
try:
retval = getattr(self, attribute)
except (AttributeError, NotImplementedError):
retval = default
return retval
def get_all(self) -> Dict[str, Any]:
"""Return dictionary containing all EXIF tag values keyed by tag name."""
all_tags = {}
for tag_name in self.list_all():
try:
tag_value = getattr(self, tag_name)
except Exception: # pylint: disable=broad-except
logger.warning("unable to read tag %r", tag_name)
else:
all_tags[tag_name] = tag_value
return all_tags
def get_file(self) -> bytes:
"""Generate equivalent binary file contents.
:returns: image binary with EXIF metadata
"""
assert isinstance(self._segments["preceding"], bytes)
img_bytes = self._segments["preceding"]
if self._has_exif:
assert isinstance(self._segments["APP1"], App1MetaData)
img_bytes += self._segments["APP1"].get_segment_bytes()
assert isinstance(self._segments["succeeding"], bytes)
img_bytes += self._segments["succeeding"]
return img_bytes
def get_thumbnail(self) -> bytes:
"""Extract thumbnail binary contained in EXIF metadata.
:returns: thumbnail binary
:raises RuntimeError: image does not contain thumbnail
"""
thumbnail_bytes = None
try:
app1_segment = self._segments["APP1"]
except KeyError:
pass
else:
assert isinstance(app1_segment, App1MetaData)
thumbnail_bytes = app1_segment.thumbnail_bytes
if not thumbnail_bytes:
raise RuntimeError("image does not contain thumbnail")
return thumbnail_bytes
@property
def has_exif(self) -> bool:
"""Report whether or not the image currently has EXIF metadata."""
return self._has_exif
def list_all(self) -> List[str]:
"""List all EXIF tags contained in the image."""
tags_list = []
if self._has_exif:
assert isinstance(self._segments["APP1"], App1MetaData)
tags_list += self._segments["APP1"].get_tag_list(include_unknown=False)
return tags_list
def set(self, attribute: str, value) -> None:
"""Set the value of the specified attribute.
:param attribute: image EXIF attribute name
:param value: tag value
:type value: corresponding Python type
"""
setattr(self, attribute, value)
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16,281 | exif._image | __delattr__ | null | def __delattr__(self, item):
try:
ATTRIBUTE_ID_MAP[item]
except KeyError:
super(Image, self).__delattr__(item)
else:
delattr(self._segments["APP1"], item)
| (self, item) | [
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16,282 | exif._image | __delitem__ | null | def __delitem__(self, key):
self.__delattr__(key)
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16,283 | exif._image | __dir__ | null | def __dir__(self) -> List[str]:
members = [
"delete",
"delete_all",
"get",
"get_all",
"get_file",
"get_thumbnail",
"has_exif",
"list_all",
"_segments",
]
if self._has_exif:
assert isinstance(self._segments["APP1"], App1MetaData)
members += self._segments["APP1"].get_tag_list()
return members
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16,284 | exif._image | __getattr__ | null | def __getattr__(self, item):
return getattr(self._segments["APP1"], item)
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16,285 | exif._image | __getitem__ | null | def __getitem__(self, item):
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16,286 | exif._image | __init__ | null | def __init__(
self,
img_file: Union[BinaryIO, bytes, str], # pylint: disable=unsubscriptable-object
) -> None:
self._has_exif = True
self._segments: Dict[
str, Union[App1MetaData, bytes] # pylint: disable=unsubscriptable-object
] = {}
if hasattr(img_file, "read"):
img_bytes = img_file.read() # type: ignore
elif isinstance(img_file, bytes):
img_bytes = img_file
elif os.path.isfile(img_file): # type: ignore
with open(img_file, "rb") as file_descriptor: # type: ignore
img_bytes = file_descriptor.read()
else: # pragma: no cover
raise ValueError("expected file object, file path as str, or bytes")
self._parse_segments(img_bytes)
| (self, img_file: Union[BinaryIO, bytes, str]) -> NoneType | [
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16,287 | exif._image | __setattr__ | null | def __setattr__(self, key, value):
try:
ATTRIBUTE_ID_MAP[key.lower()]
except KeyError:
super(Image, self).__setattr__(key, value)
else:
if not self._has_exif:
self._segments["APP1"] = App1MetaData(generate_empty_app1_bytes())
self._has_exif = True
setattr(self._segments["APP1"], key.lower(), value)
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16,288 | exif._image | __setitem__ | null | def __setitem__(self, key, value):
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16,289 | exif._image | _parse_segments | null | def _parse_segments(self, img_bytes: bytes) -> None:
cursor = 0
# Traverse hexadecimal string until EXIF APP1 segment found.
while img_bytes[cursor : cursor + len(ExifMarkers.APP1)] != ExifMarkers.APP1:
cursor += len(ExifMarkers.APP1)
if cursor > len(img_bytes):
self._has_exif = False
cursor = 2 # should theoretically go after SOI marker (if adding)
break
self._segments["preceding"] = img_bytes[:cursor]
app1_start_index = cursor
if self._has_exif:
# Determine the expected length of the APP1 segment.
app1_len = uint16.unpack(
img_bytes[app1_start_index + 2 : app1_start_index + 4]
)
cursor += app1_len + 2 # skip APP1 marker and all data
# If the expected length stops early, keep traversing until another section is found.
while img_bytes[cursor : cursor + 1] != ExifMarkers.SEG_PREFIX:
cursor += 1
# raise IOError("no subsequent EXIF segment found, is this an EXIF-encoded JPEG?")
if cursor > len(img_bytes):
self._has_exif = False
break
if self._has_exif:
# Instantiate an APP1 segment object to create an EXIF tag interface.
self._segments["APP1"] = App1MetaData(img_bytes[app1_start_index:cursor])
self._segments["succeeding"] = img_bytes[cursor:]
else:
# Store the remainder of the image so that it can be reconstructed when exporting.
self._segments["succeeding"] = img_bytes[app1_start_index:]
| (self, img_bytes: bytes) -> NoneType | [
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] |
16,290 | exif._image | delete | Remove the specified attribute from the image.
:param attribute: image EXIF attribute name
| def delete(self, attribute: str) -> None:
"""Remove the specified attribute from the image.
:param attribute: image EXIF attribute name
"""
delattr(self, attribute)
| (self, attribute: str) -> NoneType | [
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16,291 | exif._image | delete_all | Remove all EXIF tags from the image. | def delete_all(self) -> None:
"""Remove all EXIF tags from the image."""
for _ in range(
2
): # iterate twice to delete thumbnail tags the second time around
assert isinstance(self._segments["APP1"], App1MetaData)
for tag in self._segments["APP1"].get_tag_list():
if not tag in ["_exif_ifd_pointer", "_gps_ifd_pointer", "exif_version"]:
try:
delattr(self, tag)
except AttributeError:
warnings.warn("could not delete tag " + tag, RuntimeWarning)
self._parse_segments(self.get_file())
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] |
16,292 | exif._image | get | Return the value of the specified tag.
If the attribute is not available or set, return the value specified by the ``default``
keyword argument.
:param attribute: image EXIF attribute name
:param default: return value if attribute does not exist
:returns: tag value if present, ``default`` otherwise
:rtype: corresponding Python type
| def get(self, attribute: str, default: Any = None) -> Any:
"""Return the value of the specified tag.
If the attribute is not available or set, return the value specified by the ``default``
keyword argument.
:param attribute: image EXIF attribute name
:param default: return value if attribute does not exist
:returns: tag value if present, ``default`` otherwise
:rtype: corresponding Python type
"""
try:
retval = getattr(self, attribute)
except (AttributeError, NotImplementedError):
retval = default
return retval
| (self, attribute: str, default: Optional[Any] = None) -> Any | [
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