Python collections.Callable() Examples

def _transaction_func(entering, exiting, using):
    """
    Takes 3 things, an entering function (what to do to start this block of
    transaction management), an exiting function (what to do to end it, on both
    success and failure, and using which can be: None, indiciating using is
    DEFAULT_DB_ALIAS, a callable, indicating that using is DEFAULT_DB_ALIAS and
    to return the function already wrapped.

    Returns either a Transaction objects, which is both a decorator and a
    context manager, or a wrapped function, if using is a callable.
    """
    # Note that although the first argument is *called* `using`, it
    # may actually be a function; @autocommit and @autocommit('foo')
    # are both allowed forms.
    if using is None:
        using = DEFAULT_DB_ALIAS
    if isinstance(using, collections.Callable):
        return Transaction(entering, exiting, DEFAULT_DB_ALIAS)(using)
    return Transaction(entering, exiting, using) 

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 _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 _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 map(self, func, *args, **kwargs):
        r"""Call ``func`` with the plugin and \*args and \**kwargs after.

        This yields the return value from ``func`` for each plugin.

        :param collections.Callable func:
            Function to call with each plugin. Signature should at least be:

            .. code-block:: python

                def myfunc(plugin):
                     pass

            Any extra positional or keyword arguments specified with map will
            be passed along to this function after the plugin. The plugin
            passed is a :class:`~flake8.plugins.manager.Plugin`.
        :param args:
            Positional arguments to pass to ``func`` after each plugin.
        :param kwargs:
            Keyword arguments to pass to ``func`` after each plugin.
        """
        for name in self.names:
            yield func(self.plugins[name], *args, **kwargs) 

def field_value(field):
	""" 
	Returns the value for this BoundField, as rendered in widgets. 
	""" 
	if field.form.is_bound: 
		if isinstance(field.field, FileField) and field.data is None: 
			val = field.form.initial.get(field.name, field.field.initial) 
		else: 
			val = field.data 
	else:
		val = field.form.initial.get(field.name, field.field.initial)
		if isinstance(val, collections.Callable):
			val = val()
	if val is None:
		val = ''
	return val 

def test_Callable(self):
        non_samples = [None, 42, 3.14, 1j,
                       "", "".encode('ascii'), (), [], {}, set(),
                       (lambda: (yield))(),
                       (x for x in []),
                       ]
        for x in non_samples:
            self.assertNotIsInstance(x, Callable)
            self.assertFalse(issubclass(type(x), Callable), repr(type(x)))
        samples = [lambda: None,
                   type, int, object,
                   len,
                   list.append, [].append,
                   ]
        for x in samples:
            self.assertIsInstance(x, Callable)
            self.assertTrue(issubclass(type(x), Callable), repr(type(x)))
        self.validate_abstract_methods(Callable, '__call__')
        self.validate_isinstance(Callable, '__call__') 

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) 

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 stream_response_to_file(response, path=None):
    pre_opened = False
    fd = None
    if path:
        if isinstance(getattr(path, 'write', None), Callable):
            pre_opened = True
            fd = path
        else:
            fd = open(path, 'wb')
    else:
        header = response.headers['content-disposition']
        i = header.find('filename=') + len('filename=')
        fd = open(header[i:], 'wb')

    for chunk in response.iter_content(chunk_size=512):
        fd.write(chunk)

    if not pre_opened:
        fd.close() 

def search_tag(self, markup_name=None, markup_attrs={}):
        found = None
        markup = None
        if isinstance(markup_name, Tag):
            markup = markup_name
            markup_attrs = markup
        call_function_with_tag_data = (
            isinstance(self.name, collections.Callable)
            and not isinstance(markup_name, Tag))

        if ((not self.name)
            or call_function_with_tag_data
            or (markup and self._matches(markup, self.name))
            or (not markup and self._matches(markup_name, self.name))):
            if call_function_with_tag_data:
                match = self.name(markup_name, markup_attrs)
            else:
                match = True
                markup_attr_map = None
                for attr, match_against in list(self.attrs.items()):
                    if not markup_attr_map:
                        if hasattr(markup_attrs, 'get'):
                            markup_attr_map = markup_attrs
                        else:
                            markup_attr_map = {}
                            for k, v in markup_attrs:
                                markup_attr_map[k] = v
                    attr_value = markup_attr_map.get(attr)
                    if not self._matches(attr_value, match_against):
                        match = False
                        break
            if match:
                if markup:
                    found = markup
                else:
                    found = markup_name
        if found and self.text and not self._matches(found.string, self.text):
            found = None
        return found 

def register_hook(self, event, hook):
        """Properly register a hook."""

        if event not in self.hooks:
            raise ValueError('Unsupported event specified, with event name "%s"' % (event))

        if isinstance(hook, collections.Callable):
            self.hooks[event].append(hook)
        elif hasattr(hook, '__iter__'):
            self.hooks[event].extend(h for h in hook if isinstance(h, collections.Callable)) 

def callable(function):
        return isinstance(function, collections.Callable) 

def __new__(mcs, name, bases, cls_dict):
        # Inject _meta.
        meta = cls_dict['_meta'] = MetaInfo()

        # Iterate over fields, move relevant data to meta.
        for cur_field_name, cur_field in list(cls_dict.items()):
            # Is callable, property, private or magic? We don't touch those.
            if (
                isinstance(cur_field, collections.Callable) or
                isinstance(cur_field, property) or
                cur_field_name.startswith('_')
            ):
                pass

            # Is one of our types? Metafy.
            elif isinstance(cur_field, WasmField):
                meta.fields.append(FieldMeta(cur_field_name, cur_field))

            # Unknown type, print warning.
            else:
                logger.warning(
                    'Non-WasmField typed field "{}" found on type "{}". '
                    'Ignoring.'.format(cur_field_name, name)
                )

        # Order fields by type ID (see `WasmField` for the "why").
        meta.fields = sorted(meta.fields, key=lambda x: x.field._type_id)

        # Create data class type for "instances".
        class GeneratedStructureData(StructureData):
            __slots__ = [x for x, _ in meta.fields]
            _meta = meta
        meta.data_class = GeneratedStructureData

        # Create class, saving type ref in meta.
        meta.structure = type.__new__(mcs, name, bases, cls_dict)
        return meta.structure 

def variant(*args, **kwargs):
    def _variant(fn):
        fn.__is_variant = True
        fn.__variant_config = kwargs
        return fn

    if len(args) == 1 and isinstance(args[0], collections.Callable):
        return _variant(args[0])
    return _variant 

def test_instance_methods(self):
        a = matrix([1.0], dtype='f8')
        methodargs = {
            'astype': ('intc',),
            'clip': (0.0, 1.0),
            'compress': ([1],),
            'repeat': (1,),
            'reshape': (1,),
            'swapaxes': (0, 0),
            'dot': np.array([1.0]),
            }
        excluded_methods = [
            'argmin', 'choose', 'dump', 'dumps', 'fill', 'getfield',
            'getA', 'getA1', 'item', 'nonzero', 'put', 'putmask', 'resize',
            'searchsorted', 'setflags', 'setfield', 'sort',
            'partition', 'argpartition',
            'take', 'tofile', 'tolist', 'tostring', 'tobytes', 'all', 'any',
            'sum', 'argmax', 'argmin', 'min', 'max', 'mean', 'var', 'ptp',
            'prod', 'std', 'ctypes', 'itemset',
            ]
        for attrib in dir(a):
            if attrib.startswith('_') or attrib in excluded_methods:
                continue
            f = getattr(a, attrib)
            if isinstance(f, collections.Callable):
                # reset contents of a
                a.astype('f8')
                a.fill(1.0)
                if attrib in methodargs:
                    args = methodargs[attrib]
                else:
                    args = ()
                b = f(*args)
                assert_(type(b) is matrix, "%s" % attrib)
        assert_(type(a.real) is matrix)
        assert_(type(a.imag) is matrix)
        c, d = matrix([0.0]).nonzero()
        assert_(type(c) is np.ndarray)
        assert_(type(d) is np.ndarray) 

def get_params(self, deep=True):
    """Get parameters for this estimator.

    Args:
      deep: boolean, optional

        If `True`, will return the parameters for this estimator and
        contained subobjects that are estimators.

    Returns:
      params : mapping of string to any
      Parameter names mapped to their values.
    """
    out = dict()
    param_names = [name for name in self.__dict__ if not name.startswith('_')]
    for key in param_names:
      value = getattr(self, key, None)

      if isinstance(value, collections.Callable):
        continue

      # XXX: should we rather test if instance of estimator?
      if deep and hasattr(value, 'get_params'):
        deep_items = value.get_params().items()
        out.update((key + '__' + k, val) for k, val in deep_items)
      out[key] = value
    return out 

def register_hook(self, event, hook):
        """Properly register a hook."""

        if event not in self.hooks:
            raise ValueError('Unsupported event specified, with event name "%s"' % (event))

        if isinstance(hook, collections.Callable):
            self.hooks[event].append(hook)
        elif hasattr(hook, '__iter__'):
            self.hooks[event].extend(h for h in hook if isinstance(h, collections.Callable)) 

def register_hook(self, event, hook):
        """Properly register a hook."""

        if event not in self.hooks:
            raise ValueError('Unsupported event specified, with event name "%s"' % (event))

        if isinstance(hook, collections.Callable):
            self.hooks[event].append(hook)
        elif hasattr(hook, '__iter__'):
            self.hooks[event].extend(h for h in hook if isinstance(h, collections.Callable)) 

def register_hook(self, event, hook):
        """Properly register a hook."""

        if event not in self.hooks:
            raise ValueError('Unsupported event specified, with event name "%s"' % (event))

        if isinstance(hook, collections.Callable):
            self.hooks[event].append(hook)
        elif hasattr(hook, '__iter__'):
            self.hooks[event].extend(h for h in hook if isinstance(h, collections.Callable)) 

def parser_for(self, encoding):
        # Use the default parser.
        parser = self.default_parser(encoding)

        if isinstance(parser, collections.Callable):
            # Instantiate the parser with default arguments
            parser = parser(target=self, strip_cdata=False, encoding=encoding)
        return parser 

def search_tag(self, markup_name=None, markup_attrs={}):
        found = None
        markup = None
        if isinstance(markup_name, Tag):
            markup = markup_name
            markup_attrs = markup
        call_function_with_tag_data = (
            isinstance(self.name, collections.Callable)
            and not isinstance(markup_name, Tag))

        if ((not self.name)
            or call_function_with_tag_data
            or (markup and self._matches(markup, self.name))
            or (not markup and self._matches(markup_name, self.name))):
            if call_function_with_tag_data:
                match = self.name(markup_name, markup_attrs)
            else:
                match = True
                markup_attr_map = None
                for attr, match_against in list(self.attrs.items()):
                    if not markup_attr_map:
                        if hasattr(markup_attrs, 'get'):
                            markup_attr_map = markup_attrs
                        else:
                            markup_attr_map = {}
                            for k, v in markup_attrs:
                                markup_attr_map[k] = v
                    attr_value = markup_attr_map.get(attr)
                    if not self._matches(attr_value, match_against):
                        match = False
                        break
            if match:
                if markup:
                    found = markup
                else:
                    found = markup_name
        if found and self.text and not self._matches(found.string, self.text):
            found = None
        return found 

def _call_linker_cb(env, callback, args, result=None):
    """Returns the result of env['LINKCALLBACKS'][callback](*args)
    if env['LINKCALLBACKS'] is a dictionary and env['LINKCALLBACKS'][callback]
    is callable. If these conditions are not met, return the value provided as
    the *result* argument. This function is mainly used for generating library
    info such as versioned suffixes, symlink maps, sonames etc. by delegating
    the core job to callbacks configured by current linker tool"""

    Verbose = False

    if Verbose:
        print('_call_linker_cb: args=%r' % args)
        print('_call_linker_cb: callback=%r' % callback)

    try:
        cbfun = env['LINKCALLBACKS'][callback]
    except (KeyError, TypeError):
        if Verbose:
            print('_call_linker_cb: env["LINKCALLBACKS"][%r] not found or can not be used' % callback)
        pass
    else:
        if Verbose:
            print('_call_linker_cb: env["LINKCALLBACKS"][%r] found' % callback)
            print('_call_linker_cb: env["LINKCALLBACKS"][%r]=%r' % (callback, cbfun))
        if isinstance(cbfun, collections.Callable):
            if Verbose:
                print('_call_linker_cb: env["LINKCALLBACKS"][%r] is callable' % callback)
            result = cbfun(env, *args)
    return result 

def info(object, spacing=10, collapse=1):
    """Print methods and doc strings.
    Takes module, class, list, dictionary, or string."""
    methodList = [e for e in dir(object) if isinstance(getattr(object, e), collections.Callable)]
    processFunc = collapse and (lambda s: " ".join(s.split())) or (lambda s: s)
    print( "\n".join(["%s %s" %
                     (method.ljust(spacing),
                      processFunc(str(getattr(object, method).__doc__)))
                     for method in methodList]) ) 

def callable(obj):
        return isinstance(obj, Callable) 

def callable(obj):
        return isinstance(obj, Callable)