def register_archive_format(name, function, extra_args=None, description=''):
"""Registers an archive format.
name is the name of the format. function is the callable that will be
used to create archives. If provided, extra_args is a sequence of
(name, value) tuples that will be passed as arguments to the callable.
description can be provided to describe the format, and will be returned
by the get_archive_formats() function.
"""
if extra_args is None:
extra_args = []
if not isinstance(function, collections.Callable):
raise TypeError('The %s object is not callable' % function)
if not isinstance(extra_args, (tuple, list)):
raise TypeError('extra_args needs to be a sequence')
for element in extra_args:
if not isinstance(element, (tuple, list)) or len(element) !=2:
raise TypeError('extra_args elements are : (arg_name, value)')
_ARCHIVE_FORMATS[name] = (function, extra_args, description)
python类Callable()的实例源码
def _check_unpack_options(extensions, function, extra_args):
"""Checks what gets registered as an unpacker."""
# first make sure no other unpacker is registered for this extension
existing_extensions = {}
for name, info in _UNPACK_FORMATS.items():
for ext in info[0]:
existing_extensions[ext] = name
for extension in extensions:
if extension in existing_extensions:
msg = '%s is already registered for "%s"'
raise RegistryError(msg % (extension,
existing_extensions[extension]))
if not isinstance(function, collections.Callable):
raise TypeError('The registered function must be a callable')
def addApplyFunc(self, func, outColumn, inColumn='', *args, **kwargs):
"""Add function to be applied to dataframe"""
# check inputs
if not isinstance(func, collections.Callable):
self.log().critical('specified function object is not callable')
raise AssertionError('functions in ApplyFuncToDf link must be callable objects')
if not isinstance(outColumn, str) or not isinstance(inColumn, str):
self.log().critical('types of specified column names are "%s" and "%s"',
type(outColumn).__name__, type(inColumn).__name__)
raise TypeError('column names in ApplyFuncToDf must be strings')
if not outColumn:
self.log().critical('no output column specified')
raise RuntimeError('an output column must be specified to apply function in ApplyFuncToDf')
# add function
if inColumn == '':
self.apply_funcs.append({'func': func, 'colout': outColumn, 'args': args, 'kwargs': kwargs})
else:
self.apply_funcs.append({'colin': inColumn, 'func': func, 'colout': outColumn, 'args': args,
'kwargs': kwargs})
def register_archive_format(name, function, extra_args=None, description=''):
"""Registers an archive format.
name is the name of the format. function is the callable that will be
used to create archives. If provided, extra_args is a sequence of
(name, value) tuples that will be passed as arguments to the callable.
description can be provided to describe the format, and will be returned
by the get_archive_formats() function.
"""
if extra_args is None:
extra_args = []
if not isinstance(function, collections.Callable):
raise TypeError('The %s object is not callable' % function)
if not isinstance(extra_args, (tuple, list)):
raise TypeError('extra_args needs to be a sequence')
for element in extra_args:
if not isinstance(element, (tuple, list)) or len(element) !=2:
raise TypeError('extra_args elements are : (arg_name, value)')
_ARCHIVE_FORMATS[name] = (function, extra_args, description)
def _check_unpack_options(extensions, function, extra_args):
"""Checks what gets registered as an unpacker."""
# first make sure no other unpacker is registered for this extension
existing_extensions = {}
for name, info in _UNPACK_FORMATS.items():
for ext in info[0]:
existing_extensions[ext] = name
for extension in extensions:
if extension in existing_extensions:
msg = '%s is already registered for "%s"'
raise RegistryError(msg % (extension,
existing_extensions[extension]))
if not isinstance(function, collections.Callable):
raise TypeError('The registered function must be a callable')
def register_archive_format(name, function, extra_args=None, description=''):
"""Registers an archive format.
name is the name of the format. function is the callable that will be
used to create archives. If provided, extra_args is a sequence of
(name, value) tuples that will be passed as arguments to the callable.
description can be provided to describe the format, and will be returned
by the get_archive_formats() function.
"""
if extra_args is None:
extra_args = []
if not isinstance(function, collections.Callable):
raise TypeError('The %s object is not callable' % function)
if not isinstance(extra_args, (tuple, list)):
raise TypeError('extra_args needs to be a sequence')
for element in extra_args:
if not isinstance(element, (tuple, list)) or len(element) !=2:
raise TypeError('extra_args elements are : (arg_name, value)')
_ARCHIVE_FORMATS[name] = (function, extra_args, description)
def _check_unpack_options(extensions, function, extra_args):
"""Checks what gets registered as an unpacker."""
# first make sure no other unpacker is registered for this extension
existing_extensions = {}
for name, info in _UNPACK_FORMATS.items():
for ext in info[0]:
existing_extensions[ext] = name
for extension in extensions:
if extension in existing_extensions:
msg = '%s is already registered for "%s"'
raise RegistryError(msg % (extension,
existing_extensions[extension]))
if not isinstance(function, collections.Callable):
raise TypeError('The registered function must be a callable')
def register_archive_format(name, function, extra_args=None, description=''):
"""Registers an archive format.
name is the name of the format. function is the callable that will be
used to create archives. If provided, extra_args is a sequence of
(name, value) tuples that will be passed as arguments to the callable.
description can be provided to describe the format, and will be returned
by the get_archive_formats() function.
"""
if extra_args is None:
extra_args = []
if not isinstance(function, collections.Callable):
raise TypeError('The %s object is not callable' % function)
if not isinstance(extra_args, (tuple, list)):
raise TypeError('extra_args needs to be a sequence')
for element in extra_args:
if not isinstance(element, (tuple, list)) or len(element) !=2 :
raise TypeError('extra_args elements are : (arg_name, value)')
_ARCHIVE_FORMATS[name] = (function, extra_args, description)
def __new__(meta, classname, bases, class_dict):
new_class_dict = {}
for attr_name, attr_value in list(class_dict.items()):
if isinstance(attr_value, collections.Callable) and hasattr(attr_value, 'param_names'):
# print("Processing attr_name = %r; attr_value = %r" % (
# attr_name, attr_value))
method = attr_value
param_names = attr_value.param_names
data = attr_value.data
func_name_format = attr_value.func_name_format
meta.process_method(
classname, method, param_names, data, new_class_dict,
func_name_format)
else:
new_class_dict[attr_name] = attr_value
return type.__new__(meta, classname, bases, new_class_dict)
def register_archive_format(name, function, extra_args=None, description=''):
"""Registers an archive format.
name is the name of the format. function is the callable that will be
used to create archives. If provided, extra_args is a sequence of
(name, value) tuples that will be passed as arguments to the callable.
description can be provided to describe the format, and will be returned
by the get_archive_formats() function.
"""
if extra_args is None:
extra_args = []
if not isinstance(function, collections.Callable):
raise TypeError('The %s object is not callable' % function)
if not isinstance(extra_args, (tuple, list)):
raise TypeError('extra_args needs to be a sequence')
for element in extra_args:
if not isinstance(element, (tuple, list)) or len(element) !=2:
raise TypeError('extra_args elements are : (arg_name, value)')
_ARCHIVE_FORMATS[name] = (function, extra_args, description)
def _check_unpack_options(extensions, function, extra_args):
"""Checks what gets registered as an unpacker."""
# first make sure no other unpacker is registered for this extension
existing_extensions = {}
for name, info in _UNPACK_FORMATS.items():
for ext in info[0]:
existing_extensions[ext] = name
for extension in extensions:
if extension in existing_extensions:
msg = '%s is already registered for "%s"'
raise RegistryError(msg % (extension,
existing_extensions[extension]))
if not isinstance(function, collections.Callable):
raise TypeError('The registered function must be a callable')
def register_archive_format(name, function, extra_args=None, description=''):
"""Registers an archive format.
name is the name of the format. function is the callable that will be
used to create archives. If provided, extra_args is a sequence of
(name, value) tuples that will be passed as arguments to the callable.
description can be provided to describe the format, and will be returned
by the get_archive_formats() function.
"""
if extra_args is None:
extra_args = []
if not isinstance(function, collections.Callable):
raise TypeError('The %s object is not callable' % function)
if not isinstance(extra_args, (tuple, list)):
raise TypeError('extra_args needs to be a sequence')
for element in extra_args:
if not isinstance(element, (tuple, list)) or len(element) !=2:
raise TypeError('extra_args elements are : (arg_name, value)')
_ARCHIVE_FORMATS[name] = (function, extra_args, description)
def _check_unpack_options(extensions, function, extra_args):
"""Checks what gets registered as an unpacker."""
# first make sure no other unpacker is registered for this extension
existing_extensions = {}
for name, info in _UNPACK_FORMATS.items():
for ext in info[0]:
existing_extensions[ext] = name
for extension in extensions:
if extension in existing_extensions:
msg = '%s is already registered for "%s"'
raise RegistryError(msg % (extension,
existing_extensions[extension]))
if not isinstance(function, collections.Callable):
raise TypeError('The registered function must be a callable')
def _metaclass_check_getitem_type_decl(cls, type_decl):
# Callable[[T, ...], T]
if not check_getitem_tuple(type_decl, 2):
return False
# return type.
if nontype_object(type_decl[1]):
return False
# types of parameters.
if isinstance(type_decl[0], abc.Iterable):
# [T, ...]
for T in type_decl[0]:
if nontype_object(T):
return False
else:
return True
else:
# special case, Ellipsis.
return type_decl[0] is Ellipsis
def _class___new__(cls, instance):
# 1. not Callable.
if not isinstance(instance, cls.main_cls):
raise MagicTypeError(
'instance should be a Callable.',
instance=instance,
)
# 2. with no specification.
if not cls.partial_cls:
raise MagicSyntaxError(
'Callable should be specified to wrap the callable.',
)
parameters_types, return_type = cls.partial_cls
if parameters_types is Ellipsis:
parameters_types = [parameters_types]
return function_constraints(
*parameters_types,
# tailing coma is invalid for version < 3.5.
return_type=return_type
)(instance)
def filter(self, filter):
"""
Filters this image using the given filter. For a list of
available filters, see the :py:mod:`~PIL.ImageFilter` module.
:param filter: Filter kernel.
:returns: An :py:class:`~PIL.Image.Image` object. """
self.load()
if isinstance(filter, collections.Callable):
filter = filter()
if not hasattr(filter, "filter"):
raise TypeError("filter argument should be ImageFilter.Filter " +
"instance or class")
if self.im.bands == 1:
return self._new(filter.filter(self.im))
# fix to handle multiband images since _imaging doesn't
ims = []
for c in range(self.im.bands):
ims.append(self._new(filter.filter(self.im.getband(c))))
return merge(self.mode, ims)
def __init__(self, callback, interval=1):
"""
:param callback: a function with one arg to execute every so often
:type callback: function
:param interval: number of seconds at most between the updates
:type interval: int
"""
if isinstance(callback, collections.Callable):
# callback is really callable
self.update = self.update_real
self.callback = callback
self.interval = interval
else:
self.update = self.update_empty
self.count = 0
self.oldval = 0
self.oldtime = 0
self.text = ""
self.total = 1
def register_archive_format(name, function, extra_args=None, description=''):
"""Registers an archive format.
name is the name of the format. function is the callable that will be
used to create archives. If provided, extra_args is a sequence of
(name, value) tuples that will be passed as arguments to the callable.
description can be provided to describe the format, and will be returned
by the get_archive_formats() function.
"""
if extra_args is None:
extra_args = []
if not isinstance(function, collections.Callable):
raise TypeError('The %s object is not callable' % function)
if not isinstance(extra_args, (tuple, list)):
raise TypeError('extra_args needs to be a sequence')
for element in extra_args:
if not isinstance(element, (tuple, list)) or len(element) !=2:
raise TypeError('extra_args elements are : (arg_name, value)')
_ARCHIVE_FORMATS[name] = (function, extra_args, description)
def register_archive_format(name, function, extra_args=None, description=''):
"""Registers an archive format.
name is the name of the format. function is the callable that will be
used to create archives. If provided, extra_args is a sequence of
(name, value) tuples that will be passed as arguments to the callable.
description can be provided to describe the format, and will be returned
by the get_archive_formats() function.
"""
if extra_args is None:
extra_args = []
if not isinstance(function, collections.Callable):
raise TypeError('The %s object is not callable' % function)
if not isinstance(extra_args, (tuple, list)):
raise TypeError('extra_args needs to be a sequence')
for element in extra_args:
if not isinstance(element, (tuple, list)) or len(element) !=2:
raise TypeError('extra_args elements are : (arg_name, value)')
_ARCHIVE_FORMATS[name] = (function, extra_args, description)
def register_archive_format(name, function, extra_args=None, description=''):
"""Registers an archive format.
name is the name of the format. function is the callable that will be
used to create archives. If provided, extra_args is a sequence of
(name, value) tuples that will be passed as arguments to the callable.
description can be provided to describe the format, and will be returned
by the get_archive_formats() function.
"""
if extra_args is None:
extra_args = []
if not isinstance(function, collections.Callable):
raise TypeError('The %s object is not callable' % function)
if not isinstance(extra_args, (tuple, list)):
raise TypeError('extra_args needs to be a sequence')
for element in extra_args:
if not isinstance(element, (tuple, list)) or len(element) !=2:
raise TypeError('extra_args elements are : (arg_name, value)')
_ARCHIVE_FORMATS[name] = (function, extra_args, description)
