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3,495 | xml_python | BuilderError | Base exception. | class BuilderError(Exception):
"""Base exception."""
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3,496 | xml.etree.ElementTree | Element | null | class Element:
"""An XML element.
This class is the reference implementation of the Element interface.
An element's length is its number of subelements. That means if you
want to check if an element is truly empty, you should check BOTH
its length AND its text attribute.
The element tag, attribute names, and attribute values can be either
bytes or strings.
*tag* is the element name. *attrib* is an optional dictionary containing
element attributes. *extra* are additional element attributes given as
keyword arguments.
Example form:
<tag attrib>text<child/>...</tag>tail
"""
tag = None
"""The element's name."""
attrib = None
"""Dictionary of the element's attributes."""
text = None
"""
Text before first subelement. This is either a string or the value None.
Note that if there is no text, this attribute may be either
None or the empty string, depending on the parser.
"""
tail = None
"""
Text after this element's end tag, but before the next sibling element's
start tag. This is either a string or the value None. Note that if there
was no text, this attribute may be either None or an empty string,
depending on the parser.
"""
def __init__(self, tag, attrib={}, **extra):
if not isinstance(attrib, dict):
raise TypeError("attrib must be dict, not %s" % (
attrib.__class__.__name__,))
self.tag = tag
self.attrib = {**attrib, **extra}
self._children = []
def __repr__(self):
return "<%s %r at %#x>" % (self.__class__.__name__, self.tag, id(self))
def makeelement(self, tag, attrib):
"""Create a new element with the same type.
*tag* is a string containing the element name.
*attrib* is a dictionary containing the element attributes.
Do not call this method, use the SubElement factory function instead.
"""
return self.__class__(tag, attrib)
def copy(self):
"""Return copy of current element.
This creates a shallow copy. Subelements will be shared with the
original tree.
"""
warnings.warn(
"elem.copy() is deprecated. Use copy.copy(elem) instead.",
DeprecationWarning
)
return self.__copy__()
def __copy__(self):
elem = self.makeelement(self.tag, self.attrib)
elem.text = self.text
elem.tail = self.tail
elem[:] = self
return elem
def __len__(self):
return len(self._children)
def __bool__(self):
warnings.warn(
"The behavior of this method will change in future versions. "
"Use specific 'len(elem)' or 'elem is not None' test instead.",
FutureWarning, stacklevel=2
)
return len(self._children) != 0 # emulate old behaviour, for now
def __getitem__(self, index):
return self._children[index]
def __setitem__(self, index, element):
if isinstance(index, slice):
for elt in element:
self._assert_is_element(elt)
else:
self._assert_is_element(element)
self._children[index] = element
def __delitem__(self, index):
del self._children[index]
def append(self, subelement):
"""Add *subelement* to the end of this element.
The new element will appear in document order after the last existing
subelement (or directly after the text, if it's the first subelement),
but before the end tag for this element.
"""
self._assert_is_element(subelement)
self._children.append(subelement)
def extend(self, elements):
"""Append subelements from a sequence.
*elements* is a sequence with zero or more elements.
"""
for element in elements:
self._assert_is_element(element)
self._children.append(element)
def insert(self, index, subelement):
"""Insert *subelement* at position *index*."""
self._assert_is_element(subelement)
self._children.insert(index, subelement)
def _assert_is_element(self, e):
# Need to refer to the actual Python implementation, not the
# shadowing C implementation.
if not isinstance(e, _Element_Py):
raise TypeError('expected an Element, not %s' % type(e).__name__)
def remove(self, subelement):
"""Remove matching subelement.
Unlike the find methods, this method compares elements based on
identity, NOT ON tag value or contents. To remove subelements by
other means, the easiest way is to use a list comprehension to
select what elements to keep, and then use slice assignment to update
the parent element.
ValueError is raised if a matching element could not be found.
"""
# assert iselement(element)
self._children.remove(subelement)
def find(self, path, namespaces=None):
"""Find first matching element by tag name or path.
*path* is a string having either an element tag or an XPath,
*namespaces* is an optional mapping from namespace prefix to full name.
Return the first matching element, or None if no element was found.
"""
return ElementPath.find(self, path, namespaces)
def findtext(self, path, default=None, namespaces=None):
"""Find text for first matching element by tag name or path.
*path* is a string having either an element tag or an XPath,
*default* is the value to return if the element was not found,
*namespaces* is an optional mapping from namespace prefix to full name.
Return text content of first matching element, or default value if
none was found. Note that if an element is found having no text
content, the empty string is returned.
"""
return ElementPath.findtext(self, path, default, namespaces)
def findall(self, path, namespaces=None):
"""Find all matching subelements by tag name or path.
*path* is a string having either an element tag or an XPath,
*namespaces* is an optional mapping from namespace prefix to full name.
Returns list containing all matching elements in document order.
"""
return ElementPath.findall(self, path, namespaces)
def iterfind(self, path, namespaces=None):
"""Find all matching subelements by tag name or path.
*path* is a string having either an element tag or an XPath,
*namespaces* is an optional mapping from namespace prefix to full name.
Return an iterable yielding all matching elements in document order.
"""
return ElementPath.iterfind(self, path, namespaces)
def clear(self):
"""Reset element.
This function removes all subelements, clears all attributes, and sets
the text and tail attributes to None.
"""
self.attrib.clear()
self._children = []
self.text = self.tail = None
def get(self, key, default=None):
"""Get element attribute.
Equivalent to attrib.get, but some implementations may handle this a
bit more efficiently. *key* is what attribute to look for, and
*default* is what to return if the attribute was not found.
Returns a string containing the attribute value, or the default if
attribute was not found.
"""
return self.attrib.get(key, default)
def set(self, key, value):
"""Set element attribute.
Equivalent to attrib[key] = value, but some implementations may handle
this a bit more efficiently. *key* is what attribute to set, and
*value* is the attribute value to set it to.
"""
self.attrib[key] = value
def keys(self):
"""Get list of attribute names.
Names are returned in an arbitrary order, just like an ordinary
Python dict. Equivalent to attrib.keys()
"""
return self.attrib.keys()
def items(self):
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3,497 | xml.etree.ElementTree | ElementTree | An XML element hierarchy.
This class also provides support for serialization to and from
standard XML.
*element* is an optional root element node,
*file* is an optional file handle or file name of an XML file whose
contents will be used to initialize the tree with.
| class ElementTree:
"""An XML element hierarchy.
This class also provides support for serialization to and from
standard XML.
*element* is an optional root element node,
*file* is an optional file handle or file name of an XML file whose
contents will be used to initialize the tree with.
"""
def __init__(self, element=None, file=None):
# assert element is None or iselement(element)
self._root = element # first node
if file:
self.parse(file)
def getroot(self):
"""Return root element of this tree."""
return self._root
def _setroot(self, element):
"""Replace root element of this tree.
This will discard the current contents of the tree and replace it
with the given element. Use with care!
"""
# assert iselement(element)
self._root = element
def parse(self, source, parser=None):
"""Load external XML document into element tree.
*source* is a file name or file object, *parser* is an optional parser
instance that defaults to XMLParser.
ParseError is raised if the parser fails to parse the document.
Returns the root element of the given source document.
"""
close_source = False
if not hasattr(source, "read"):
source = open(source, "rb")
close_source = True
try:
if parser is None:
# If no parser was specified, create a default XMLParser
parser = XMLParser()
if hasattr(parser, '_parse_whole'):
# The default XMLParser, when it comes from an accelerator,
# can define an internal _parse_whole API for efficiency.
# It can be used to parse the whole source without feeding
# it with chunks.
self._root = parser._parse_whole(source)
return self._root
while True:
data = source.read(65536)
if not data:
break
parser.feed(data)
self._root = parser.close()
return self._root
finally:
if close_source:
source.close()
def iter(self, tag=None):
"""Create and return tree iterator for the root element.
The iterator loops over all elements in this tree, in document order.
*tag* is a string with the tag name to iterate over
(default is to return all elements).
"""
# assert self._root is not None
return self._root.iter(tag)
def find(self, path, namespaces=None):
"""Find first matching element by tag name or path.
Same as getroot().find(path), which is Element.find()
*path* is a string having either an element tag or an XPath,
*namespaces* is an optional mapping from namespace prefix to full name.
Return the first matching element, or None if no element was found.
"""
# assert self._root is not None
if path[:1] == "/":
path = "." + path
warnings.warn(
"This search is broken in 1.3 and earlier, and will be "
"fixed in a future version. If you rely on the current "
"behaviour, change it to %r" % path,
FutureWarning, stacklevel=2
)
return self._root.find(path, namespaces)
def findtext(self, path, default=None, namespaces=None):
"""Find first matching element by tag name or path.
Same as getroot().findtext(path), which is Element.findtext()
*path* is a string having either an element tag or an XPath,
*namespaces* is an optional mapping from namespace prefix to full name.
Return the first matching element, or None if no element was found.
"""
# assert self._root is not None
if path[:1] == "/":
path = "." + path
warnings.warn(
"This search is broken in 1.3 and earlier, and will be "
"fixed in a future version. If you rely on the current "
"behaviour, change it to %r" % path,
FutureWarning, stacklevel=2
)
return self._root.findtext(path, default, namespaces)
def findall(self, path, namespaces=None):
"""Find all matching subelements by tag name or path.
Same as getroot().findall(path), which is Element.findall().
*path* is a string having either an element tag or an XPath,
*namespaces* is an optional mapping from namespace prefix to full name.
Return list containing all matching elements in document order.
"""
# assert self._root is not None
if path[:1] == "/":
path = "." + path
warnings.warn(
"This search is broken in 1.3 and earlier, and will be "
"fixed in a future version. If you rely on the current "
"behaviour, change it to %r" % path,
FutureWarning, stacklevel=2
)
return self._root.findall(path, namespaces)
def iterfind(self, path, namespaces=None):
"""Find all matching subelements by tag name or path.
Same as getroot().iterfind(path), which is element.iterfind()
*path* is a string having either an element tag or an XPath,
*namespaces* is an optional mapping from namespace prefix to full name.
Return an iterable yielding all matching elements in document order.
"""
# assert self._root is not None
if path[:1] == "/":
path = "." + path
warnings.warn(
"This search is broken in 1.3 and earlier, and will be "
"fixed in a future version. If you rely on the current "
"behaviour, change it to %r" % path,
FutureWarning, stacklevel=2
)
return self._root.iterfind(path, namespaces)
def write(self, file_or_filename,
encoding=None,
xml_declaration=None,
default_namespace=None,
method=None, *,
short_empty_elements=True):
"""Write element tree to a file as XML.
Arguments:
*file_or_filename* -- file name or a file object opened for writing
*encoding* -- the output encoding (default: US-ASCII)
*xml_declaration* -- bool indicating if an XML declaration should be
added to the output. If None, an XML declaration
is added if encoding IS NOT either of:
US-ASCII, UTF-8, or Unicode
*default_namespace* -- sets the default XML namespace (for "xmlns")
*method* -- either "xml" (default), "html, "text", or "c14n"
*short_empty_elements* -- controls the formatting of elements
that contain no content. If True (default)
they are emitted as a single self-closed
tag, otherwise they are emitted as a pair
of start/end tags
"""
if not method:
method = "xml"
elif method not in _serialize:
raise ValueError("unknown method %r" % method)
if not encoding:
if method == "c14n":
encoding = "utf-8"
else:
encoding = "us-ascii"
with _get_writer(file_or_filename, encoding) as (write, declared_encoding):
if method == "xml" and (xml_declaration or
(xml_declaration is None and
encoding.lower() != "unicode" and
declared_encoding.lower() not in ("utf-8", "us-ascii"))):
write("<?xml version='1.0' encoding='%s'?>\n" % (
declared_encoding,))
if method == "text":
_serialize_text(write, self._root)
else:
qname | (element=None, file=None) | [
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3,498 | xml.etree.ElementTree | __init__ | null | def __init__(self, element=None, file=None):
# assert element is None or iselement(element)
self._root = element # first node
if file:
self.parse(file)
| (self, element=None, file=None) | [
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3,499 | xml.etree.ElementTree | _setroot | Replace root element of this tree.
This will discard the current contents of the tree and replace it
with the given element. Use with care!
| def _setroot(self, element):
"""Replace root element of this tree.
This will discard the current contents of the tree and replace it
with the given element. Use with care!
"""
# assert iselement(element)
self._root = element
| (self, element) | [
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3,500 | xml.etree.ElementTree | find | Find first matching element by tag name or path.
Same as getroot().find(path), which is Element.find()
*path* is a string having either an element tag or an XPath,
*namespaces* is an optional mapping from namespace prefix to full name.
Return the first matching element, or None if no element was found.
| def find(self, path, namespaces=None):
"""Find first matching element by tag name or path.
Same as getroot().find(path), which is Element.find()
*path* is a string having either an element tag or an XPath,
*namespaces* is an optional mapping from namespace prefix to full name.
Return the first matching element, or None if no element was found.
"""
# assert self._root is not None
if path[:1] == "/":
path = "." + path
warnings.warn(
"This search is broken in 1.3 and earlier, and will be "
"fixed in a future version. If you rely on the current "
"behaviour, change it to %r" % path,
FutureWarning, stacklevel=2
)
return self._root.find(path, namespaces)
| (self, path, namespaces=None) | [
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] |
3,501 | xml.etree.ElementTree | findall | Find all matching subelements by tag name or path.
Same as getroot().findall(path), which is Element.findall().
*path* is a string having either an element tag or an XPath,
*namespaces* is an optional mapping from namespace prefix to full name.
Return list containing all matching elements in document order.
| def findall(self, path, namespaces=None):
"""Find all matching subelements by tag name or path.
Same as getroot().findall(path), which is Element.findall().
*path* is a string having either an element tag or an XPath,
*namespaces* is an optional mapping from namespace prefix to full name.
Return list containing all matching elements in document order.
"""
# assert self._root is not None
if path[:1] == "/":
path = "." + path
warnings.warn(
"This search is broken in 1.3 and earlier, and will be "
"fixed in a future version. If you rely on the current "
"behaviour, change it to %r" % path,
FutureWarning, stacklevel=2
)
return self._root.findall(path, namespaces)
| (self, path, namespaces=None) | [
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3,502 | xml.etree.ElementTree | findtext | Find first matching element by tag name or path.
Same as getroot().findtext(path), which is Element.findtext()
*path* is a string having either an element tag or an XPath,
*namespaces* is an optional mapping from namespace prefix to full name.
Return the first matching element, or None if no element was found.
| def findtext(self, path, default=None, namespaces=None):
"""Find first matching element by tag name or path.
Same as getroot().findtext(path), which is Element.findtext()
*path* is a string having either an element tag or an XPath,
*namespaces* is an optional mapping from namespace prefix to full name.
Return the first matching element, or None if no element was found.
"""
# assert self._root is not None
if path[:1] == "/":
path = "." + path
warnings.warn(
"This search is broken in 1.3 and earlier, and will be "
"fixed in a future version. If you rely on the current "
"behaviour, change it to %r" % path,
FutureWarning, stacklevel=2
)
return self._root.findtext(path, default, namespaces)
| (self, path, default=None, namespaces=None) | [
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3,503 | xml.etree.ElementTree | getroot | Return root element of this tree. | def getroot(self):
"""Return root element of this tree."""
return self._root
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3,504 | xml.etree.ElementTree | iter | Create and return tree iterator for the root element.
The iterator loops over all elements in this tree, in document order.
*tag* is a string with the tag name to iterate over
(default is to return all elements).
| def iter(self, tag=None):
"""Create and return tree iterator for the root element.
The iterator loops over all elements in this tree, in document order.
*tag* is a string with the tag name to iterate over
(default is to return all elements).
"""
# assert self._root is not None
return self._root.iter(tag)
| (self, tag=None) | [
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] |
3,505 | xml.etree.ElementTree | iterfind | Find all matching subelements by tag name or path.
Same as getroot().iterfind(path), which is element.iterfind()
*path* is a string having either an element tag or an XPath,
*namespaces* is an optional mapping from namespace prefix to full name.
Return an iterable yielding all matching elements in document order.
| def iterfind(self, path, namespaces=None):
"""Find all matching subelements by tag name or path.
Same as getroot().iterfind(path), which is element.iterfind()
*path* is a string having either an element tag or an XPath,
*namespaces* is an optional mapping from namespace prefix to full name.
Return an iterable yielding all matching elements in document order.
"""
# assert self._root is not None
if path[:1] == "/":
path = "." + path
warnings.warn(
"This search is broken in 1.3 and earlier, and will be "
"fixed in a future version. If you rely on the current "
"behaviour, change it to %r" % path,
FutureWarning, stacklevel=2
)
return self._root.iterfind(path, namespaces)
| (self, path, namespaces=None) | [
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] |
3,506 | xml.etree.ElementTree | parse | Load external XML document into element tree.
*source* is a file name or file object, *parser* is an optional parser
instance that defaults to XMLParser.
ParseError is raised if the parser fails to parse the document.
Returns the root element of the given source document.
| def parse(self, source, parser=None):
"""Load external XML document into element tree.
*source* is a file name or file object, *parser* is an optional parser
instance that defaults to XMLParser.
ParseError is raised if the parser fails to parse the document.
Returns the root element of the given source document.
"""
close_source = False
if not hasattr(source, "read"):
source = open(source, "rb")
close_source = True
try:
if parser is None:
# If no parser was specified, create a default XMLParser
parser = XMLParser()
if hasattr(parser, '_parse_whole'):
# The default XMLParser, when it comes from an accelerator,
# can define an internal _parse_whole API for efficiency.
# It can be used to parse the whole source without feeding
# it with chunks.
self._root = parser._parse_whole(source)
return self._root
while True:
data = source.read(65536)
if not data:
break
parser.feed(data)
self._root = parser.close()
return self._root
finally:
if close_source:
source.close()
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] |
3,507 | xml.etree.ElementTree | write | Write element tree to a file as XML.
Arguments:
*file_or_filename* -- file name or a file object opened for writing
*encoding* -- the output encoding (default: US-ASCII)
*xml_declaration* -- bool indicating if an XML declaration should be
added to the output. If None, an XML declaration
is added if encoding IS NOT either of:
US-ASCII, UTF-8, or Unicode
*default_namespace* -- sets the default XML namespace (for "xmlns")
*method* -- either "xml" (default), "html, "text", or "c14n"
*short_empty_elements* -- controls the formatting of elements
that contain no content. If True (default)
they are emitted as a single self-closed
tag, otherwise they are emitted as a pair
of start/end tags
| def write(self, file_or_filename,
encoding=None,
xml_declaration=None,
default_namespace=None,
method=None, *,
short_empty_elements=True):
"""Write element tree to a file as XML.
Arguments:
*file_or_filename* -- file name or a file object opened for writing
*encoding* -- the output encoding (default: US-ASCII)
*xml_declaration* -- bool indicating if an XML declaration should be
added to the output. If None, an XML declaration
is added if encoding IS NOT either of:
US-ASCII, UTF-8, or Unicode
*default_namespace* -- sets the default XML namespace (for "xmlns")
*method* -- either "xml" (default), "html, "text", or "c14n"
*short_empty_elements* -- controls the formatting of elements
that contain no content. If True (default)
they are emitted as a single self-closed
tag, otherwise they are emitted as a pair
of start/end tags
"""
if not method:
method = "xml"
elif method not in _serialize:
raise ValueError("unknown method %r" % method)
if not encoding:
if method == "c14n":
encoding = "utf-8"
else:
encoding = "us-ascii"
with _get_writer(file_or_filename, encoding) as (write, declared_encoding):
if method == "xml" and (xml_declaration or
(xml_declaration is None and
encoding.lower() != "unicode" and
declared_encoding.lower() not in ("utf-8", "us-ascii"))):
write("<?xml version='1.0' encoding='%s'?>\n" % (
declared_encoding,))
if method == "text":
_serialize_text(write, self._root)
else:
qnames, namespaces = _namespaces(self._root, default_namespace)
serialize = _serialize[method]
serialize(write, self._root, qnames, namespaces,
short_empty_elements=short_empty_elements)
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3,508 | xml.etree.ElementTree | write_c14n | null | def write_c14n(self, file):
# lxml.etree compatibility. use output method instead
return self.write(file, method="c14n")
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] |
3,509 | attr._make | Factory |
Stores a factory callable.
If passed as the default value to `attrs.field`, the factory is used to
generate a new value.
:param callable factory: A callable that takes either none or exactly one
mandatory positional argument depending on *takes_self*.
:param bool takes_self: Pass the partially initialized instance that is
being initialized as a positional argument.
.. versionadded:: 17.1.0 *takes_self*
| class Factory:
"""
Stores a factory callable.
If passed as the default value to `attrs.field`, the factory is used to
generate a new value.
:param callable factory: A callable that takes either none or exactly one
mandatory positional argument depending on *takes_self*.
:param bool takes_self: Pass the partially initialized instance that is
being initialized as a positional argument.
.. versionadded:: 17.1.0 *takes_self*
"""
__slots__ = ("factory", "takes_self")
def __init__(self, factory, takes_self=False):
self.factory = factory
self.takes_self = takes_self
def __getstate__(self):
"""
Play nice with pickle.
"""
return tuple(getattr(self, name) for name in self.__slots__)
def __setstate__(self, state):
"""
Play nice with pickle.
"""
for name, value in zip(self.__slots__, state):
setattr(self, name, value)
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3,510 | null | __eq__ | null | def __eq__(self, other):
if other.__class__ is not self.__class__:
return NotImplemented
return (
self.factory,
self.takes_self,
) == (
other.factory,
other.takes_self,
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3,511 | attr._make | __getstate__ |
Play nice with pickle.
| def __getstate__(self):
"""
Play nice with pickle.
"""
return tuple(getattr(self, name) for name in self.__slots__)
| (self) | [
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3,512 | null | __hash__ | null | def __hash__(self):
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3,513 | attr._make | __init__ | null | def __init__(self, factory, takes_self=False):
self.factory = factory
self.takes_self = takes_self
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3,514 | attr._make | __ne__ |
Check equality and either forward a NotImplemented or
return the result negated.
| def _make_ne():
"""
Create __ne__ method.
"""
def __ne__(self, other):
"""
Check equality and either forward a NotImplemented or
return the result negated.
"""
result = self.__eq__(other)
if result is NotImplemented:
return NotImplemented
return not result
return __ne__
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3,515 | null | __repr__ | null | def __repr__(self):
try:
already_repring = _compat.repr_context.already_repring
except AttributeError:
already_repring = {id(self),}
_compat.repr_context.already_repring = already_repring
else:
if id(self) in already_repring:
return '...'
else:
already_repring.add(id(self))
try:
return f'{self.__class__.__qualname__.rsplit(">.", 1)[-1]}(factory={self.factory!r}, takes_self={self.takes_self!r})'
finally:
already_repring.remove(id(self)) | (self) | [
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3,516 | attr._make | __setstate__ |
Play nice with pickle.
| def __setstate__(self, state):
"""
Play nice with pickle.
"""
for name, value in zip(self.__slots__, state):
setattr(self, name, value)
| (self, state) | [
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] |
3,517 | typing | Generic | Abstract base class for generic types.
A generic type is typically declared by inheriting from
this class parameterized with one or more type variables.
For example, a generic mapping type might be defined as::
class Mapping(Generic[KT, VT]):
def __getitem__(self, key: KT) -> VT:
...
# Etc.
This class can then be used as follows::
def lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:
try:
return mapping[key]
except KeyError:
return default
| class Generic:
"""Abstract base class for generic types.
A generic type is typically declared by inheriting from
this class parameterized with one or more type variables.
For example, a generic mapping type might be defined as::
class Mapping(Generic[KT, VT]):
def __getitem__(self, key: KT) -> VT:
...
# Etc.
This class can then be used as follows::
def lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:
try:
return mapping[key]
except KeyError:
return default
"""
__slots__ = ()
_is_protocol = False
@_tp_cache
def __class_getitem__(cls, params):
if not isinstance(params, tuple):
params = (params,)
if not params and cls is not Tuple:
raise TypeError(
f"Parameter list to {cls.__qualname__}[...] cannot be empty")
params = tuple(_type_convert(p) for p in params)
if cls in (Generic, Protocol):
# Generic and Protocol can only be subscripted with unique type variables.
if not all(isinstance(p, (TypeVar, ParamSpec)) for p in params):
raise TypeError(
f"Parameters to {cls.__name__}[...] must all be type variables "
f"or parameter specification variables.")
if len(set(params)) != len(params):
raise TypeError(
f"Parameters to {cls.__name__}[...] must all be unique")
else:
# Subscripting a regular Generic subclass.
if any(isinstance(t, ParamSpec) for t in cls.__parameters__):
params = _prepare_paramspec_params(cls, params)
else:
_check_generic(cls, params, len(cls.__parameters__))
return _GenericAlias(cls, params,
_typevar_types=(TypeVar, ParamSpec),
_paramspec_tvars=True)
def __init_subclass__(cls, *args, **kwargs):
super().__init_subclass__(*args, **kwargs)
tvars = []
if '__orig_bases__' in cls.__dict__:
error = Generic in cls.__orig_bases__
else:
error = Generic in cls.__bases__ and cls.__name__ != 'Protocol'
if error:
raise TypeError("Cannot inherit from plain Generic")
if '__orig_bases__' in cls.__dict__:
tvars = _collect_type_vars(cls.__orig_bases__, (TypeVar, ParamSpec))
# Look for Generic[T1, ..., Tn].
# If found, tvars must be a subset of it.
# If not found, tvars is it.
# Also check for and reject plain Generic,
# and reject multiple Generic[...].
gvars = None
for base in cls.__orig_bases__:
if (isinstance(base, _GenericAlias) and
base.__origin__ is Generic):
if gvars is not None:
raise TypeError(
"Cannot inherit from Generic[...] multiple types.")
gvars = base.__parameters__
if gvars is not None:
tvarset = set(tvars)
gvarset = set(gvars)
if not tvarset <= gvarset:
s_vars = ', '.join(str(t) for t in tvars if t not in gvarset)
s_args = ', '.join(str(g) for g in gvars)
raise TypeError(f"Some type variables ({s_vars}) are"
f" not listed in Generic[{s_args}]")
tvars = gvars
cls.__parameters__ = tuple(tvars)
| () | [
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] |
3,518 | typing | IO | Generic base class for TextIO and BinaryIO.
This is an abstract, generic version of the return of open().
NOTE: This does not distinguish between the different possible
classes (text vs. binary, read vs. write vs. read/write,
append-only, unbuffered). The TextIO and BinaryIO subclasses
below capture the distinctions between text vs. binary, which is
pervasive in the interface; however we currently do not offer a
way to track the other distinctions in the type system.
| class IO(Generic[AnyStr]):
"""Generic base class for TextIO and BinaryIO.
This is an abstract, generic version of the return of open().
NOTE: This does not distinguish between the different possible
classes (text vs. binary, read vs. write vs. read/write,
append-only, unbuffered). The TextIO and BinaryIO subclasses
below capture the distinctions between text vs. binary, which is
pervasive in the interface; however we currently do not offer a
way to track the other distinctions in the type system.
"""
__slots__ = ()
@property
@abstractmethod
def mode(self) -> str:
pass
@property
@abstractmethod
def name(self) -> str:
pass
@abstractmethod
def close(self) -> None:
pass
@property
@abstractmethod
def closed(self) -> bool:
pass
@abstractmethod
def fileno(self) -> int:
pass
@abstractmethod
def flush(self) -> None:
pass
@abstractmethod
def isatty(self) -> bool:
pass
@abstractmethod
def read(self, n: int = -1) -> AnyStr:
pass
@abstractmethod
def readable(self) -> bool:
pass
@abstractmethod
def readline(self, limit: int = -1) -> AnyStr:
pass
@abstractmethod
def readlines(self, hint: int = -1) -> List[AnyStr]:
pass
@abstractmethod
def seek(self, offset: int, whence: int = 0) -> int:
pass
@abstractmethod
def seekable(self) -> bool:
pass
@abstractmethod
def tell(self) -> int:
pass
@abstractmethod
def truncate(self, size: int = None) -> int:
pass
@abstractmethod
def writable(self) -> bool:
pass
@abstractmethod
def write(self, s: AnyStr) -> int:
pass
@abstractmethod
def writelines(self, lines: List[AnyStr]) -> None:
pass
@abstractmethod
def __enter__(self) -> 'IO[AnyStr]':
pass
@abstractmethod
def __exit__(self, type, value, traceback) -> None:
pass
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3,519 | typing | __enter__ | null | @abstractmethod
def __enter__(self) -> 'IO[AnyStr]':
pass
| (self) -> IO[~AnyStr] | [
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3,520 | typing | __exit__ | null | @abstractmethod
def __exit__(self, type, value, traceback) -> None:
pass
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] |
3,521 | typing | close | null | @abstractmethod
def close(self) -> None:
pass
| (self) -> NoneType | [
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0.06691110879182816,
0.006833510007709265,
0.03597617894411087
] |
3,522 | typing | fileno | null | @abstractmethod
def fileno(self) -> int:
pass
| (self) -> int | [
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3,523 | typing | flush | null | @abstractmethod
def flush(self) -> None:
pass
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] |
3,524 | typing | isatty | null | @abstractmethod
def isatty(self) -> bool:
pass
| (self) -> bool | [
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3,525 | typing | read | null | @abstractmethod
def read(self, n: int = -1) -> AnyStr:
pass
| (self, n: int = -1) -> ~AnyStr | [
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] |
3,526 | typing | readable | null | @abstractmethod
def readable(self) -> bool:
pass
| (self) -> bool | [
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3,527 | typing | readline | null | @abstractmethod
def readline(self, limit: int = -1) -> AnyStr:
pass
| (self, limit: int = -1) -> ~AnyStr | [
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3,528 | typing | readlines | null | @abstractmethod
def readlines(self, hint: int = -1) -> List[AnyStr]:
pass
| (self, hint: int = -1) -> List[~AnyStr] | [
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] |
3,529 | typing | seek | null | @abstractmethod
def seek(self, offset: int, whence: int = 0) -> int:
pass
| (self, offset: int, whence: int = 0) -> int | [
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] |
3,530 | typing | seekable | null | @abstractmethod
def seekable(self) -> bool:
pass
| (self) -> bool | [
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] |
3,531 | typing | tell | null | @abstractmethod
def tell(self) -> int:
pass
| (self) -> int | [
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] |
3,532 | typing | truncate | null | @abstractmethod
def truncate(self, size: int = None) -> int:
pass
| (self, size: Optional[int] = None) -> int | [
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3,533 | typing | writable | null | @abstractmethod
def writable(self) -> bool:
pass
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3,534 | typing | write | null | @abstractmethod
def write(self, s: AnyStr) -> int:
pass
| (self, s: ~AnyStr) -> int | [
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3,535 | typing | writelines | null | @abstractmethod
def writelines(self, lines: List[AnyStr]) -> None:
pass
| (self, lines: List[~AnyStr]) -> NoneType | [
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3,537 | typing | TypeVar | Type variable.
Usage::
T = TypeVar('T') # Can be anything
A = TypeVar('A', str, bytes) # Must be str or bytes
Type variables exist primarily for the benefit of static type
checkers. They serve as the parameters for generic types as well
as for generic function definitions. See class Generic for more
information on generic types. Generic functions work as follows:
def repeat(x: T, n: int) -> List[T]:
'''Return a list containing n references to x.'''
return [x]*n
def longest(x: A, y: A) -> A:
'''Return the longest of two strings.'''
return x if len(x) >= len(y) else y
The latter example's signature is essentially the overloading
of (str, str) -> str and (bytes, bytes) -> bytes. Also note
that if the arguments are instances of some subclass of str,
the return type is still plain str.
At runtime, isinstance(x, T) and issubclass(C, T) will raise TypeError.
Type variables defined with covariant=True or contravariant=True
can be used to declare covariant or contravariant generic types.
See PEP 484 for more details. By default generic types are invariant
in all type variables.
Type variables can be introspected. e.g.:
T.__name__ == 'T'
T.__constraints__ == ()
T.__covariant__ == False
T.__contravariant__ = False
A.__constraints__ == (str, bytes)
Note that only type variables defined in global scope can be pickled.
| class TypeVar( _Final, _Immutable, _TypeVarLike, _root=True):
"""Type variable.
Usage::
T = TypeVar('T') # Can be anything
A = TypeVar('A', str, bytes) # Must be str or bytes
Type variables exist primarily for the benefit of static type
checkers. They serve as the parameters for generic types as well
as for generic function definitions. See class Generic for more
information on generic types. Generic functions work as follows:
def repeat(x: T, n: int) -> List[T]:
'''Return a list containing n references to x.'''
return [x]*n
def longest(x: A, y: A) -> A:
'''Return the longest of two strings.'''
return x if len(x) >= len(y) else y
The latter example's signature is essentially the overloading
of (str, str) -> str and (bytes, bytes) -> bytes. Also note
that if the arguments are instances of some subclass of str,
the return type is still plain str.
At runtime, isinstance(x, T) and issubclass(C, T) will raise TypeError.
Type variables defined with covariant=True or contravariant=True
can be used to declare covariant or contravariant generic types.
See PEP 484 for more details. By default generic types are invariant
in all type variables.
Type variables can be introspected. e.g.:
T.__name__ == 'T'
T.__constraints__ == ()
T.__covariant__ == False
T.__contravariant__ = False
A.__constraints__ == (str, bytes)
Note that only type variables defined in global scope can be pickled.
"""
__slots__ = ('__name__', '__bound__', '__constraints__',
'__covariant__', '__contravariant__', '__dict__')
def __init__(self, name, *constraints, bound=None,
covariant=False, contravariant=False):
self.__name__ = name
super().__init__(bound, covariant, contravariant)
if constraints and bound is not None:
raise TypeError("Constraints cannot be combined with bound=...")
if constraints and len(constraints) == 1:
raise TypeError("A single constraint is not allowed")
msg = "TypeVar(name, constraint, ...): constraints must be types."
self.__constraints__ = tuple(_type_check(t, msg) for t in constraints)
try:
def_mod = sys._getframe(1).f_globals.get('__name__', '__main__') # for pickling
except (AttributeError, ValueError):
def_mod = None
if def_mod != 'typing':
self.__module__ = def_mod
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3,538 | typing | __copy__ | null | def __copy__(self):
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3,539 | typing | __deepcopy__ | null | def __deepcopy__(self, memo):
return self
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3,540 | typing | __init__ | null | def __init__(self, name, *constraints, bound=None,
covariant=False, contravariant=False):
self.__name__ = name
super().__init__(bound, covariant, contravariant)
if constraints and bound is not None:
raise TypeError("Constraints cannot be combined with bound=...")
if constraints and len(constraints) == 1:
raise TypeError("A single constraint is not allowed")
msg = "TypeVar(name, constraint, ...): constraints must be types."
self.__constraints__ = tuple(_type_check(t, msg) for t in constraints)
try:
def_mod = sys._getframe(1).f_globals.get('__name__', '__main__') # for pickling
except (AttributeError, ValueError):
def_mod = None
if def_mod != 'typing':
self.__module__ = def_mod
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3,541 | typing | __or__ | null | def __or__(self, right):
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3,542 | typing | __reduce__ | null | def __reduce__(self):
return self.__name__
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3,543 | typing | __repr__ | null | def __repr__(self):
if self.__covariant__:
prefix = '+'
elif self.__contravariant__:
prefix = '-'
else:
prefix = '~'
return prefix + self.__name__
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3,544 | typing | __ror__ | null | def __ror__(self, left):
return Union[left, self]
| (self, left) | [
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3,545 | xml_python | UnhandledElement | No such parser has been defined. | class UnhandledElement(BuilderError):
"""No such parser has been defined."""
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3,546 | attr._make | attrib |
Create a new attribute on a class.
.. warning::
Does *not* do anything unless the class is also decorated with `attr.s`
/ `attrs.define` / and so on!
Please consider using `attrs.field` in new code (``attr.ib`` will *never*
go away, though).
:param default: A value that is used if an *attrs*-generated ``__init__``
is used and no value is passed while instantiating or the attribute is
excluded using ``init=False``.
If the value is an instance of `attrs.Factory`, its callable will be
used to construct a new value (useful for mutable data types like lists
or dicts).
If a default is not set (or set manually to `attrs.NOTHING`), a value
*must* be supplied when instantiating; otherwise a `TypeError` will be
raised.
The default can also be set using decorator notation as shown below.
.. seealso:: `defaults`
:param callable factory: Syntactic sugar for
``default=attr.Factory(factory)``.
:param validator: `callable` that is called by *attrs*-generated
``__init__`` methods after the instance has been initialized. They
receive the initialized instance, the :func:`~attrs.Attribute`, and the
passed value.
The return value is *not* inspected so the validator has to throw an
exception itself.
If a `list` is passed, its items are treated as validators and must all
pass.
Validators can be globally disabled and re-enabled using
`attrs.validators.get_disabled` / `attrs.validators.set_disabled`.
The validator can also be set using decorator notation as shown below.
.. seealso:: :ref:`validators`
:type validator: `callable` or a `list` of `callable`\ s.
:param repr: Include this attribute in the generated ``__repr__`` method.
If ``True``, include the attribute; if ``False``, omit it. By default,
the built-in ``repr()`` function is used. To override how the attribute
value is formatted, pass a ``callable`` that takes a single value and
returns a string. Note that the resulting string is used as-is, i.e. it
will be used directly *instead* of calling ``repr()`` (the default).
:type repr: a `bool` or a `callable` to use a custom function.
:param eq: If ``True`` (default), include this attribute in the generated
``__eq__`` and ``__ne__`` methods that check two instances for
equality. To override how the attribute value is compared, pass a
``callable`` that takes a single value and returns the value to be
compared.
.. seealso:: `comparison`
:type eq: a `bool` or a `callable`.
:param order: If ``True`` (default), include this attributes in the
generated ``__lt__``, ``__le__``, ``__gt__`` and ``__ge__`` methods. To
override how the attribute value is ordered, pass a ``callable`` that
takes a single value and returns the value to be ordered.
.. seealso:: `comparison`
:type order: a `bool` or a `callable`.
:param cmp: Setting *cmp* is equivalent to setting *eq* and *order* to the
same value. Must not be mixed with *eq* or *order*.
.. seealso:: `comparison`
:type cmp: a `bool` or a `callable`.
:param bool | None hash: Include this attribute in the generated
``__hash__`` method. If ``None`` (default), mirror *eq*'s value. This
is the correct behavior according the Python spec. Setting this value
to anything else than ``None`` is *discouraged*.
.. seealso:: `hashing`
:param bool init: Include this attribute in the generated ``__init__``
method. It is possible to set this to ``False`` and set a default
value. In that case this attributed is unconditionally initialized
with the specified default value or factory.
.. seealso:: `init`
:param callable converter: `callable` that is called by *attrs*-generated
``__init__`` methods to convert attribute's value to the desired
format. It is given the passed-in value, and the returned value will
be used as the new value of the attribute. The value is converted
before being passed to the validator, if any.
.. seealso:: :ref:`converters`
:param dict | None metadata: An arbitrary mapping, to be used by
third-party components. See `extending-metadata`.
:param type: The type of the attribute. Nowadays, the preferred method to
specify the type is using a variable annotation (see :pep:`526`). This
argument is provided for backward compatibility. Regardless of the
approach used, the type will be stored on ``Attribute.type``.
Please note that *attrs* doesn't do anything with this metadata by
itself. You can use it as part of your own code or for `static type
checking <types>`.
:param bool kw_only: Make this attribute keyword-only in the generated
``__init__`` (if ``init`` is ``False``, this parameter is ignored).
:param on_setattr: Allows to overwrite the *on_setattr* setting from
`attr.s`. If left `None`, the *on_setattr* value from `attr.s` is used.
Set to `attrs.setters.NO_OP` to run **no** `setattr` hooks for this
attribute -- regardless of the setting in `attr.s`.
:type on_setattr: `callable`, or a list of callables, or `None`, or
`attrs.setters.NO_OP`
:param str | None alias: Override this attribute's parameter name in the
generated ``__init__`` method. If left `None`, default to ``name``
stripped of leading underscores. See `private-attributes`.
.. versionadded:: 15.2.0 *convert*
.. versionadded:: 16.3.0 *metadata*
.. versionchanged:: 17.1.0 *validator* can be a ``list`` now.
.. versionchanged:: 17.1.0
*hash* is ``None`` and therefore mirrors *eq* by default.
.. versionadded:: 17.3.0 *type*
.. deprecated:: 17.4.0 *convert*
.. versionadded:: 17.4.0 *converter* as a replacement for the deprecated
*convert* to achieve consistency with other noun-based arguments.
.. versionadded:: 18.1.0
``factory=f`` is syntactic sugar for ``default=attr.Factory(f)``.
.. versionadded:: 18.2.0 *kw_only*
.. versionchanged:: 19.2.0 *convert* keyword argument removed.
.. versionchanged:: 19.2.0 *repr* also accepts a custom callable.
.. deprecated:: 19.2.0 *cmp* Removal on or after 2021-06-01.
.. versionadded:: 19.2.0 *eq* and *order*
.. versionadded:: 20.1.0 *on_setattr*
.. versionchanged:: 20.3.0 *kw_only* backported to Python 2
.. versionchanged:: 21.1.0
*eq*, *order*, and *cmp* also accept a custom callable
.. versionchanged:: 21.1.0 *cmp* undeprecated
.. versionadded:: 22.2.0 *alias*
| def attrib(
default=NOTHING,
validator=None,
repr=True,
cmp=None,
hash=None,
init=True,
metadata=None,
type=None,
converter=None,
factory=None,
kw_only=False,
eq=None,
order=None,
on_setattr=None,
alias=None,
):
"""
Create a new attribute on a class.
.. warning::
Does *not* do anything unless the class is also decorated with `attr.s`
/ `attrs.define` / and so on!
Please consider using `attrs.field` in new code (``attr.ib`` will *never*
go away, though).
:param default: A value that is used if an *attrs*-generated ``__init__``
is used and no value is passed while instantiating or the attribute is
excluded using ``init=False``.
If the value is an instance of `attrs.Factory`, its callable will be
used to construct a new value (useful for mutable data types like lists
or dicts).
If a default is not set (or set manually to `attrs.NOTHING`), a value
*must* be supplied when instantiating; otherwise a `TypeError` will be
raised.
The default can also be set using decorator notation as shown below.
.. seealso:: `defaults`
:param callable factory: Syntactic sugar for
``default=attr.Factory(factory)``.
:param validator: `callable` that is called by *attrs*-generated
``__init__`` methods after the instance has been initialized. They
receive the initialized instance, the :func:`~attrs.Attribute`, and the
passed value.
The return value is *not* inspected so the validator has to throw an
exception itself.
If a `list` is passed, its items are treated as validators and must all
pass.
Validators can be globally disabled and re-enabled using
`attrs.validators.get_disabled` / `attrs.validators.set_disabled`.
The validator can also be set using decorator notation as shown below.
.. seealso:: :ref:`validators`
:type validator: `callable` or a `list` of `callable`\\ s.
:param repr: Include this attribute in the generated ``__repr__`` method.
If ``True``, include the attribute; if ``False``, omit it. By default,
the built-in ``repr()`` function is used. To override how the attribute
value is formatted, pass a ``callable`` that takes a single value and
returns a string. Note that the resulting string is used as-is, i.e. it
will be used directly *instead* of calling ``repr()`` (the default).
:type repr: a `bool` or a `callable` to use a custom function.
:param eq: If ``True`` (default), include this attribute in the generated
``__eq__`` and ``__ne__`` methods that check two instances for
equality. To override how the attribute value is compared, pass a
``callable`` that takes a single value and returns the value to be
compared.
.. seealso:: `comparison`
:type eq: a `bool` or a `callable`.
:param order: If ``True`` (default), include this attributes in the
generated ``__lt__``, ``__le__``, ``__gt__`` and ``__ge__`` methods. To
override how the attribute value is ordered, pass a ``callable`` that
takes a single value and returns the value to be ordered.
.. seealso:: `comparison`
:type order: a `bool` or a `callable`.
:param cmp: Setting *cmp* is equivalent to setting *eq* and *order* to the
same value. Must not be mixed with *eq* or *order*.
.. seealso:: `comparison`
:type cmp: a `bool` or a `callable`.
:param bool | None hash: Include this attribute in the generated
``__hash__`` method. If ``None`` (default), mirror *eq*'s value. This
is the correct behavior according the Python spec. Setting this value
to anything else than ``None`` is *discouraged*.
.. seealso:: `hashing`
:param bool init: Include this attribute in the generated ``__init__``
method. It is possible to set this to ``False`` and set a default
value. In that case this attributed is unconditionally initialized
with the specified default value or factory.
.. seealso:: `init`
:param callable converter: `callable` that is called by *attrs*-generated
``__init__`` methods to convert attribute's value to the desired
format. It is given the passed-in value, and the returned value will
be used as the new value of the attribute. The value is converted
before being passed to the validator, if any.
.. seealso:: :ref:`converters`
:param dict | None metadata: An arbitrary mapping, to be used by
third-party components. See `extending-metadata`.
:param type: The type of the attribute. Nowadays, the preferred method to
specify the type is using a variable annotation (see :pep:`526`). This
argument is provided for backward compatibility. Regardless of the
approach used, the type will be stored on ``Attribute.type``.
Please note that *attrs* doesn't do anything with this metadata by
itself. You can use it as part of your own code or for `static type
checking <types>`.
:param bool kw_only: Make this attribute keyword-only in the generated
``__init__`` (if ``init`` is ``False``, this parameter is ignored).
:param on_setattr: Allows to overwrite the *on_setattr* setting from
`attr.s`. If left `None`, the *on_setattr* value from `attr.s` is used.
Set to `attrs.setters.NO_OP` to run **no** `setattr` hooks for this
attribute -- regardless of the setting in `attr.s`.
:type on_setattr: `callable`, or a list of callables, or `None`, or
`attrs.setters.NO_OP`
:param str | None alias: Override this attribute's parameter name in the
generated ``__init__`` method. If left `None`, default to ``name``
stripped of leading underscores. See `private-attributes`.
.. versionadded:: 15.2.0 *convert*
.. versionadded:: 16.3.0 *metadata*
.. versionchanged:: 17.1.0 *validator* can be a ``list`` now.
.. versionchanged:: 17.1.0
*hash* is ``None`` and therefore mirrors *eq* by default.
.. versionadded:: 17.3.0 *type*
.. deprecated:: 17.4.0 *convert*
.. versionadded:: 17.4.0 *converter* as a replacement for the deprecated
*convert* to achieve consistency with other noun-based arguments.
.. versionadded:: 18.1.0
``factory=f`` is syntactic sugar for ``default=attr.Factory(f)``.
.. versionadded:: 18.2.0 *kw_only*
.. versionchanged:: 19.2.0 *convert* keyword argument removed.
.. versionchanged:: 19.2.0 *repr* also accepts a custom callable.
.. deprecated:: 19.2.0 *cmp* Removal on or after 2021-06-01.
.. versionadded:: 19.2.0 *eq* and *order*
.. versionadded:: 20.1.0 *on_setattr*
.. versionchanged:: 20.3.0 *kw_only* backported to Python 2
.. versionchanged:: 21.1.0
*eq*, *order*, and *cmp* also accept a custom callable
.. versionchanged:: 21.1.0 *cmp* undeprecated
.. versionadded:: 22.2.0 *alias*
"""
eq, eq_key, order, order_key = _determine_attrib_eq_order(
cmp, eq, order, True
)
if hash is not None and hash is not True and hash is not False:
msg = "Invalid value for hash. Must be True, False, or None."
raise TypeError(msg)
if factory is not None:
if default is not NOTHING:
msg = (
"The `default` and `factory` arguments are mutually exclusive."
)
raise ValueError(msg)
if not callable(factory):
msg = "The `factory` argument must be a callable."
raise ValueError(msg)
default = Factory(factory)
if metadata is None:
metadata = {}
# Apply syntactic sugar by auto-wrapping.
if isinstance(on_setattr, (list, tuple)):
on_setattr = setters.pipe(*on_setattr)
if validator and isinstance(validator, (list, tuple)):
validator = and_(*validator)
if converter and isinstance(converter, (list, tuple)):
converter = pipe(*converter)
return _Coun | (default=NOTHING, validator=None, repr=True, cmp=None, hash=None, init=True, metadata=None, type=None, converter=None, factory=None, kw_only=False, eq=None, order=None, on_setattr=None, alias=None) | [
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] |
3,547 | attr._make | attrs |
A class decorator that adds :term:`dunder methods` according to the
specified attributes using `attr.ib` or the *these* argument.
Please consider using `attrs.define` / `attrs.frozen` in new code
(``attr.s`` will *never* go away, though).
:param these: A dictionary of name to `attr.ib` mappings. This is useful
to avoid the definition of your attributes within the class body
because you can't (e.g. if you want to add ``__repr__`` methods to
Django models) or don't want to.
If *these* is not ``None``, *attrs* will *not* search the class body
for attributes and will *not* remove any attributes from it.
The order is deduced from the order of the attributes inside *these*.
:type these: `dict` of `str` to `attr.ib`
:param str repr_ns: When using nested classes, there's no way in Python 2
to automatically detect that. Therefore it's possible to set the
namespace explicitly for a more meaningful ``repr`` output.
:param bool auto_detect: Instead of setting the *init*, *repr*, *eq*,
*order*, and *hash* arguments explicitly, assume they are set to
``True`` **unless any** of the involved methods for one of the
arguments is implemented in the *current* class (i.e. it is *not*
inherited from some base class).
So for example by implementing ``__eq__`` on a class yourself, *attrs*
will deduce ``eq=False`` and will create *neither* ``__eq__`` *nor*
``__ne__`` (but Python classes come with a sensible ``__ne__`` by
default, so it *should* be enough to only implement ``__eq__`` in most
cases).
.. warning::
If you prevent *attrs* from creating the ordering methods for you
(``order=False``, e.g. by implementing ``__le__``), it becomes
*your* responsibility to make sure its ordering is sound. The best
way is to use the `functools.total_ordering` decorator.
Passing ``True`` or ``False`` to *init*, *repr*, *eq*, *order*, *cmp*,
or *hash* overrides whatever *auto_detect* would determine.
:param bool repr: Create a ``__repr__`` method with a human readable
representation of *attrs* attributes..
:param bool str: Create a ``__str__`` method that is identical to
``__repr__``. This is usually not necessary except for `Exception`\ s.
:param bool | None eq: If ``True`` or ``None`` (default), add ``__eq__``
and ``__ne__`` methods that check two instances for equality.
They compare the instances as if they were tuples of their *attrs*
attributes if and only if the types of both classes are *identical*!
.. seealso:: `comparison`
:param bool | None order: If ``True``, add ``__lt__``, ``__le__``,
``__gt__``, and ``__ge__`` methods that behave like *eq* above and
allow instances to be ordered. If ``None`` (default) mirror value of
*eq*.
.. seealso:: `comparison`
:param bool | None cmp: Setting *cmp* is equivalent to setting *eq* and
*order* to the same value. Must not be mixed with *eq* or *order*.
.. seealso:: `comparison`
:param bool | None unsafe_hash: If ``None`` (default), the ``__hash__``
method is generated according how *eq* and *frozen* are set.
1. If *both* are True, *attrs* will generate a ``__hash__`` for you.
2. If *eq* is True and *frozen* is False, ``__hash__`` will be set to
None, marking it unhashable (which it is).
3. If *eq* is False, ``__hash__`` will be left untouched meaning the
``__hash__`` method of the base class will be used (if base class is
``object``, this means it will fall back to id-based hashing.).
Although not recommended, you can decide for yourself and force *attrs*
to create one (e.g. if the class is immutable even though you didn't
freeze it programmatically) by passing ``True`` or not. Both of these
cases are rather special and should be used carefully.
.. seealso::
- Our documentation on `hashing`,
- Python's documentation on `object.__hash__`,
- and the `GitHub issue that led to the default \
behavior <https://github.com/python-attrs/attrs/issues/136>`_ for
more details.
:param bool | None hash: Alias for *unsafe_hash*. *unsafe_hash* takes
precedence.
:param bool init: Create a ``__init__`` method that initializes the *attrs*
attributes. Leading underscores are stripped for the argument name. If
a ``__attrs_pre_init__`` method exists on the class, it will be called
before the class is initialized. If a ``__attrs_post_init__`` method
exists on the class, it will be called after the class is fully
initialized.
If ``init`` is ``False``, an ``__attrs_init__`` method will be injected
instead. This allows you to define a custom ``__init__`` method that
can do pre-init work such as ``super().__init__()``, and then call
``__attrs_init__()`` and ``__attrs_post_init__()``.
.. seealso:: `init`
:param bool slots: Create a :term:`slotted class <slotted classes>` that's
more memory-efficient. Slotted classes are generally superior to the
default dict classes, but have some gotchas you should know about, so
we encourage you to read the :term:`glossary entry <slotted classes>`.
:param bool frozen: Make instances immutable after initialization. If
someone attempts to modify a frozen instance,
`attrs.exceptions.FrozenInstanceError` is raised.
.. note::
1. This is achieved by installing a custom ``__setattr__`` method
on your class, so you can't implement your own.
2. True immutability is impossible in Python.
3. This *does* have a minor a runtime performance `impact
<how-frozen>` when initializing new instances. In other words:
``__init__`` is slightly slower with ``frozen=True``.
4. If a class is frozen, you cannot modify ``self`` in
``__attrs_post_init__`` or a self-written ``__init__``. You can
circumvent that limitation by using ``object.__setattr__(self,
"attribute_name", value)``.
5. Subclasses of a frozen class are frozen too.
:param bool weakref_slot: Make instances weak-referenceable. This has no
effect unless ``slots`` is also enabled.
:param bool auto_attribs: If ``True``, collect :pep:`526`-annotated
attributes from the class body.
In this case, you **must** annotate every field. If *attrs* encounters
a field that is set to an `attr.ib` but lacks a type annotation, an
`attr.exceptions.UnannotatedAttributeError` is raised. Use
``field_name: typing.Any = attr.ib(...)`` if you don't want to set a
type.
If you assign a value to those attributes (e.g. ``x: int = 42``), that
value becomes the default value like if it were passed using
``attr.ib(default=42)``. Passing an instance of `attrs.Factory` also
works as expected in most cases (see warning below).
Attributes annotated as `typing.ClassVar`, and attributes that are
neither annotated nor set to an `attr.ib` are **ignored**.
.. warning::
For features that use the attribute name to create decorators (e.g.
:ref:`validators <validators>`), you still *must* assign `attr.ib`
to them. Otherwise Python will either not find the name or try to
use the default value to call e.g. ``validator`` on it.
These errors can be quite confusing and probably the most common bug
report on our bug tracker.
:param bool kw_only: Make all attributes keyword-only in the generated
``__init__`` (if ``init`` is ``False``, this parameter is ignored).
:param bool cache_hash: Ensure that the object's hash code is computed only
once and stored on the object. If this is set to ``True``, hashing
must be either explicitly or implicitly enabled for this class. If the
hash code is cached, avoid any reassignments of fields involved in hash
code computation or mutations of the objects those fields point to
after object creation. If such changes occur, the behavior of the
object's hash code is undefined.
:param bool auto_exc: If the class subclasses `BaseException` (which
implicitly includes any subclass of any exception), the following
happens to behave like a well-behaved Python exceptions class:
- the values for *eq*, *order*, and *hash* are ignored and the
instances compare and hash by the instance's ids (N.B. *attrs* will
*not* remove existing implementations of ``__hash__`` or the equality
methods. It just won't add own ones.),
- all attributes that are either passed into ``__init__`` or have a
default value are additionally available as a tuple in the ``args``
attribute,
- the value of *str* is ignored leaving ``__str__`` to base classes.
:param bool collect_by_mro: Setting this to `True` fixes the way *attrs*
collects attributes from base classes. The default behavior is
incorrect in certain cases of multiple inheritance. It should be on by
default but is kept off for backward-compatibility.
.. seealso::
Issue `#428 <https://github.com/python-attrs/attrs/issues/428>`_
:param bool | None getstate_setstate:
.. note::
This is usually only interesting for slotted classes and you should
probably just set *auto_detect* to `True`.
If `True`, ``__getstate__`` and ``__setstate__`` are generated and
attached to the class. This is necessary for slotted classes to be
pickleable. If left `None`, it's `True` by default for slotted classes
and ``False`` for dict classes.
If *auto_detect* is `True`, and *getstate_setstate* is left `None`, and
**either** ``__getstate__`` or ``__setstate__`` is detected directly on
the class (i.e. not inherited), it is set to `False` (this is usually
what you want).
:param on_setattr: A callable that is run whenever the user attempts to set
an attribute (either by assignment like ``i.x = 42`` or by using
`setattr` like ``setattr(i, "x", 42)``). It receives the same arguments
as validators: the instance, the attribute that is being modified, and
the new value.
If no exception is raised, the attribute is set to the return value of
the callable.
If a list of callables is passed, they're automatically wrapped in an
`attrs.setters.pipe`.
:type on_setattr: `callable`, or a list of callables, or `None`, or
`attrs.setters.NO_OP`
:param callable | None field_transformer:
A function that is called with the original class object and all fields
right before *attrs* finalizes the class. You can use this, e.g., to
automatically add converters or validators to fields based on their
types.
.. seealso:: `transform-fields`
:param bool match_args:
If `True` (default), set ``__match_args__`` on the class to support
:pep:`634` (Structural Pattern Matching). It is a tuple of all
non-keyword-only ``__init__`` parameter names on Python 3.10 and later.
Ignored on older Python versions.
.. versionadded:: 16.0.0 *slots*
.. versionadded:: 16.1.0 *frozen*
.. versionadded:: 16.3.0 *str*
.. versionadded:: 16.3.0 Support for ``__attrs_post_init__``.
.. versionchanged:: 17.1.0
*hash* supports ``None`` as value which is also the default now.
.. versionadded:: 17.3.0 *auto_attribs*
.. versionchanged:: 18.1.0
If *these* is passed, no attributes are deleted from the class body.
.. versionchanged:: 18.1.0 If *these* is ordered, the order is retained.
.. versionadded:: 18.2.0 *weakref_slot*
.. deprecated:: 18.2.0
``__lt__``, ``__le__``, ``__gt__``, and ``__ge__`` now raise a
`DeprecationWarning` if the classes compared are subclasses of
each other. ``__eq`` and ``__ne__`` never tried to compared subclasses
to each other.
.. versionchanged:: 19.2.0
``__lt__``, ``__le__``, ``__gt__``, and ``__ge__`` now do not consider
subclasses comparable anymore.
.. versionadded:: 18.2.0 *kw_only*
.. versionadded:: 18.2.0 *cache_hash*
.. versionadded:: 19.1.0 *auto_exc*
.. deprecated:: 19.2.0 *cmp* Removal on or after 2021-06-01.
.. versionadded:: 19.2.0 *eq* and *order*
.. versionadded:: 20.1.0 *auto_detect*
.. versionadded:: 20.1.0 *collect_by_mro*
.. versionadded:: 20.1.0 *getstate_setstate*
.. versionadded:: 20.1.0 *on_setattr*
.. versionadded:: 20.3.0 *field_transformer*
.. versionchanged:: 21.1.0
``init=False`` injects ``__attrs_init__``
.. versionchanged:: 21.1.0 Support for ``__attrs_pre_init__``
.. versionchanged:: 21.1.0 *cmp* undeprecated
.. versionadded:: 21.3.0 *match_args*
.. versionadded:: 22.2.0
*unsafe_hash* as an alias for *hash* (for :pep:`681` compliance).
| def attrs(
maybe_cls=None,
these=None,
repr_ns=None,
repr=None,
cmp=None,
hash=None,
init=None,
slots=False,
frozen=False,
weakref_slot=True,
str=False,
auto_attribs=False,
kw_only=False,
cache_hash=False,
auto_exc=False,
eq=None,
order=None,
auto_detect=False,
collect_by_mro=False,
getstate_setstate=None,
on_setattr=None,
field_transformer=None,
match_args=True,
unsafe_hash=None,
):
r"""
A class decorator that adds :term:`dunder methods` according to the
specified attributes using `attr.ib` or the *these* argument.
Please consider using `attrs.define` / `attrs.frozen` in new code
(``attr.s`` will *never* go away, though).
:param these: A dictionary of name to `attr.ib` mappings. This is useful
to avoid the definition of your attributes within the class body
because you can't (e.g. if you want to add ``__repr__`` methods to
Django models) or don't want to.
If *these* is not ``None``, *attrs* will *not* search the class body
for attributes and will *not* remove any attributes from it.
The order is deduced from the order of the attributes inside *these*.
:type these: `dict` of `str` to `attr.ib`
:param str repr_ns: When using nested classes, there's no way in Python 2
to automatically detect that. Therefore it's possible to set the
namespace explicitly for a more meaningful ``repr`` output.
:param bool auto_detect: Instead of setting the *init*, *repr*, *eq*,
*order*, and *hash* arguments explicitly, assume they are set to
``True`` **unless any** of the involved methods for one of the
arguments is implemented in the *current* class (i.e. it is *not*
inherited from some base class).
So for example by implementing ``__eq__`` on a class yourself, *attrs*
will deduce ``eq=False`` and will create *neither* ``__eq__`` *nor*
``__ne__`` (but Python classes come with a sensible ``__ne__`` by
default, so it *should* be enough to only implement ``__eq__`` in most
cases).
.. warning::
If you prevent *attrs* from creating the ordering methods for you
(``order=False``, e.g. by implementing ``__le__``), it becomes
*your* responsibility to make sure its ordering is sound. The best
way is to use the `functools.total_ordering` decorator.
Passing ``True`` or ``False`` to *init*, *repr*, *eq*, *order*, *cmp*,
or *hash* overrides whatever *auto_detect* would determine.
:param bool repr: Create a ``__repr__`` method with a human readable
representation of *attrs* attributes..
:param bool str: Create a ``__str__`` method that is identical to
``__repr__``. This is usually not necessary except for `Exception`\ s.
:param bool | None eq: If ``True`` or ``None`` (default), add ``__eq__``
and ``__ne__`` methods that check two instances for equality.
They compare the instances as if they were tuples of their *attrs*
attributes if and only if the types of both classes are *identical*!
.. seealso:: `comparison`
:param bool | None order: If ``True``, add ``__lt__``, ``__le__``,
``__gt__``, and ``__ge__`` methods that behave like *eq* above and
allow instances to be ordered. If ``None`` (default) mirror value of
*eq*.
.. seealso:: `comparison`
:param bool | None cmp: Setting *cmp* is equivalent to setting *eq* and
*order* to the same value. Must not be mixed with *eq* or *order*.
.. seealso:: `comparison`
:param bool | None unsafe_hash: If ``None`` (default), the ``__hash__``
method is generated according how *eq* and *frozen* are set.
1. If *both* are True, *attrs* will generate a ``__hash__`` for you.
2. If *eq* is True and *frozen* is False, ``__hash__`` will be set to
None, marking it unhashable (which it is).
3. If *eq* is False, ``__hash__`` will be left untouched meaning the
``__hash__`` method of the base class will be used (if base class is
``object``, this means it will fall back to id-based hashing.).
Although not recommended, you can decide for yourself and force *attrs*
to create one (e.g. if the class is immutable even though you didn't
freeze it programmatically) by passing ``True`` or not. Both of these
cases are rather special and should be used carefully.
.. seealso::
- Our documentation on `hashing`,
- Python's documentation on `object.__hash__`,
- and the `GitHub issue that led to the default \
behavior <https://github.com/python-attrs/attrs/issues/136>`_ for
more details.
:param bool | None hash: Alias for *unsafe_hash*. *unsafe_hash* takes
precedence.
:param bool init: Create a ``__init__`` method that initializes the *attrs*
attributes. Leading underscores are stripped for the argument name. If
a ``__attrs_pre_init__`` method exists on the class, it will be called
before the class is initialized. If a ``__attrs_post_init__`` method
exists on the class, it will be called after the class is fully
initialized.
If ``init`` is ``False``, an ``__attrs_init__`` method will be injected
instead. This allows you to define a custom ``__init__`` method that
can do pre-init work such as ``super().__init__()``, and then call
``__attrs_init__()`` and ``__attrs_post_init__()``.
.. seealso:: `init`
:param bool slots: Create a :term:`slotted class <slotted classes>` that's
more memory-efficient. Slotted classes are generally superior to the
default dict classes, but have some gotchas you should know about, so
we encourage you to read the :term:`glossary entry <slotted classes>`.
:param bool frozen: Make instances immutable after initialization. If
someone attempts to modify a frozen instance,
`attrs.exceptions.FrozenInstanceError` is raised.
.. note::
1. This is achieved by installing a custom ``__setattr__`` method
on your class, so you can't implement your own.
2. True immutability is impossible in Python.
3. This *does* have a minor a runtime performance `impact
<how-frozen>` when initializing new instances. In other words:
``__init__`` is slightly slower with ``frozen=True``.
4. If a class is frozen, you cannot modify ``self`` in
``__attrs_post_init__`` or a self-written ``__init__``. You can
circumvent that limitation by using ``object.__setattr__(self,
"attribute_name", value)``.
5. Subclasses of a frozen class are frozen too.
:param bool weakref_slot: Make instances weak-referenceable. This has no
effect unless ``slots`` is also enabled.
:param bool auto_attribs: If ``True``, collect :pep:`526`-annotated
attributes from the class body.
In this case, you **must** annotate every field. If *attrs* encounters
a field that is set to an `attr.ib` but lacks a type annotation, an
`attr.exceptions.UnannotatedAttributeError` is raised. Use
``field_name: typing.Any = attr.ib(...)`` if you don't want to set a
type.
If you assign a value to those attributes (e.g. ``x: int = 42``), that
value becomes the default value like if it were passed using
``attr.ib(default=42)``. Passing an instance of `attrs.Factory` also
works as expected in most cases (see warning below).
Attributes annotated as `typing.ClassVar`, and attributes that are
neither annotated nor set to an `attr.ib` are **ignored**.
.. warning::
For features that use the attribute name to create decorators (e.g.
:ref:`validators <validators>`), you still *must* assign `attr.ib`
to them. Otherwise Python will either not | (maybe_cls=None, these=None, repr_ns=None, repr=None, cmp=None, hash=None, init=None, slots=False, frozen=False, weakref_slot=True, str=False, auto_attribs=False, kw_only=False, cache_hash=False, auto_exc=False, eq=None, order=None, auto_detect=False, collect_by_mro=False, getstate_setstate=None, on_setattr=None, field_transformer=None, match_args=True, unsafe_hash=None) | [
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3,548 | xml.etree.ElementTree | XML | Parse XML document from string constant.
This function can be used to embed "XML Literals" in Python code.
*text* is a string containing XML data, *parser* is an
optional parser instance, defaulting to the standard XMLParser.
Returns an Element instance.
| def XML(text, parser=None):
"""Parse XML document from string constant.
This function can be used to embed "XML Literals" in Python code.
*text* is a string containing XML data, *parser* is an
optional parser instance, defaulting to the standard XMLParser.
Returns an Element instance.
"""
if not parser:
parser = XMLParser(target=TreeBuilder())
parser.feed(text)
return parser.close()
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3,549 | xml.etree.ElementTree | parse | Parse XML document into element tree.
*source* is a filename or file object containing XML data,
*parser* is an optional parser instance defaulting to XMLParser.
Return an ElementTree instance.
| def parse(source, parser=None):
"""Parse XML document into element tree.
*source* is a filename or file object containing XML data,
*parser* is an optional parser instance defaulting to XMLParser.
Return an ElementTree instance.
"""
tree = ElementTree()
tree.parse(source, parser)
return tree
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3,550 | mcwiki.extractor | Extractor | Extractor(selector: str) | class Extractor(Generic[T]):
selector: str
def scan(
self: ExtractorType,
html: BeautifulSoup,
limit: Optional[int] = None,
) -> ScanResult[ExtractorType, T]:
return ScanResult[ExtractorType, T](
self, html.select(self.selector, limit=limit) # type: ignore
)
def process(self, element: Tag) -> T:
raise NotImplementedError()
| (selector: str) -> None | [
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3,551 | mcwiki.extractor | __delattr__ | null | __all__ = [
"Extractor",
"ScanResult",
]
from dataclasses import dataclass, field
from typing import Any, Generic, List, Optional, Sequence, TypeVar, Union, overload
from bs4 import BeautifulSoup, Tag
T = TypeVar("T")
ExtractorType = TypeVar("ExtractorType", bound="Extractor[Any]")
@dataclass(frozen=True)
class ScanResult(Generic[ExtractorType, T], Sequence[T]):
extractor: ExtractorType
elements: List[Union[Tag, T]] = field(repr=False)
@overload
def __getitem__(self, index: int) -> T:
...
@overload
def __getitem__(self, index: slice) -> Sequence[T]:
...
def __getitem__(self, index: Union[int, slice]) -> Union[T, Sequence[T]]: # type: ignore
index_slice = (
slice(index % len(self), (index % len(self)) + 1)
if isinstance(index, int)
else index
)
self.elements[index_slice] = [
self.extractor.process(item) if isinstance(item, Tag) else item
for item in self.elements[index_slice]
]
return self.elements[index] # type: ignore
def __len__(self) -> int:
return len(self.elements)
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3,557 | mcwiki.extractor | process | null | def process(self, element: Tag) -> T:
raise NotImplementedError()
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3,558 | mcwiki.extractor | scan | null | def scan(
self: ExtractorType,
html: BeautifulSoup,
limit: Optional[int] = None,
) -> ScanResult[ExtractorType, T]:
return ScanResult[ExtractorType, T](
self, html.select(self.selector, limit=limit) # type: ignore
)
| (self: ~ExtractorType, html: bs4.BeautifulSoup, limit: Optional[int] = None) -> mcwiki.extractor.ScanResult[~ExtractorType, ~T] | [
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3,559 | mcwiki.page | PageSection | null | class PageSection(Mapping[str, "PageSection"]):
html: BeautifulSoup
subsections: Dict[str, Union[Tag, "PageSection"]]
def __init__(self, html: BeautifulSoup) -> None:
self.html = html
self.subsections = {
heading.text.lower(): heading.parent
for heading in html.find_all("span", "mw-headline")
}
def __getitem__(self, heading: str) -> "PageSection":
heading = heading.lower()
section = self.subsections[heading]
if not isinstance(section, PageSection):
content = BeautifulSoup(features="html.parser")
content.extend(map(copy, collect_elements(section)))
section = PageSection(content)
self.subsections[heading] = section
return section
def __iter__(self) -> Iterator[str]:
return iter(self.subsections)
def __len__(self) -> int:
return len(self.subsections)
@property
def text(self):
return normalize_string(self.html.text)
def extract_all(
self,
extractor: Extractor[T],
limit: Optional[int] = None,
) -> ScanResult[Extractor[T], T]:
return extractor.scan(self.html, limit=limit)
def extract(self, extractor: Extractor[T], index: int = 0) -> Optional[T]:
items = self.extract_all(extractor, limit=index + 1)
return items[index] if index < len(items) else None
def __repr__(self) -> str:
return f"<{self.__class__.__name__} {list(self)}>"
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3,562 | mcwiki.page | __getitem__ | null | def __getitem__(self, heading: str) -> "PageSection":
heading = heading.lower()
section = self.subsections[heading]
if not isinstance(section, PageSection):
content = BeautifulSoup(features="html.parser")
content.extend(map(copy, collect_elements(section)))
section = PageSection(content)
self.subsections[heading] = section
return section
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3,563 | mcwiki.page | __init__ | null | def __init__(self, html: BeautifulSoup) -> None:
self.html = html
self.subsections = {
heading.text.lower(): heading.parent
for heading in html.find_all("span", "mw-headline")
}
| (self, html: bs4.BeautifulSoup) -> NoneType | [
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3,565 | mcwiki.page | __len__ | null | def __len__(self) -> int:
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3,567 | mcwiki.page | extract | null | def extract(self, extractor: Extractor[T], index: int = 0) -> Optional[T]:
items = self.extract_all(extractor, limit=index + 1)
return items[index] if index < len(items) else None
| (self, extractor: mcwiki.extractor.Extractor[~T], index: int = 0) -> Optional[~T] | [
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3,568 | mcwiki.page | extract_all | null | def extract_all(
self,
extractor: Extractor[T],
limit: Optional[int] = None,
) -> ScanResult[Extractor[T], T]:
return extractor.scan(self.html, limit=limit)
| (self, extractor: mcwiki.extractor.Extractor[~T], limit: Optional[int] = None) -> mcwiki.extractor.ScanResult[mcwiki.extractor.Extractor[~T], ~T] | [
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3,573 | mcwiki.extractor | ScanResult | ScanResult(extractor: ~ExtractorType, elements: List[Union[bs4.element.Tag, ~T]]) | class ScanResult(Generic[ExtractorType, T], Sequence[T]):
extractor: ExtractorType
elements: List[Union[Tag, T]] = field(repr=False)
@overload
def __getitem__(self, index: int) -> T:
...
@overload
def __getitem__(self, index: slice) -> Sequence[T]:
...
def __getitem__(self, index: Union[int, slice]) -> Union[T, Sequence[T]]: # type: ignore
index_slice = (
slice(index % len(self), (index % len(self)) + 1)
if isinstance(index, int)
else index
)
self.elements[index_slice] = [
self.extractor.process(item) if isinstance(item, Tag) else item
for item in self.elements[index_slice]
]
return self.elements[index] # type: ignore
def __len__(self) -> int:
return len(self.elements)
| (extractor: ~ExtractorType, elements: List[Union[bs4.element.Tag, ~T]]) -> None | [
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3,577 | mcwiki.extractor | __getitem__ | null | def __getitem__(self, index: Union[int, slice]) -> Union[T, Sequence[T]]: # type: ignore
index_slice = (
slice(index % len(self), (index % len(self)) + 1)
if isinstance(index, int)
else index
)
self.elements[index_slice] = [
self.extractor.process(item) if isinstance(item, Tag) else item
for item in self.elements[index_slice]
]
return self.elements[index] # type: ignore
| (self, index: Union[int, slice]) -> Union[~T, Sequence[~T]] | [
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3,581 | mcwiki.extractor | __len__ | null | def __len__(self) -> int:
return len(self.elements)
| (self) -> int | [
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3,587 | mcwiki.text | TextExtractor | TextExtractor(selector: str) | class TextExtractor(Extractor[str]):
def process(self, element: Tag) -> str:
return normalize_string(element.text)
| (selector: str) -> None | [
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3,588 | mcwiki.text | __delattr__ | null | __all__ = [
"TextExtractor",
]
from dataclasses import dataclass
from bs4 import Tag
from .extractor import Extractor
from .utils import normalize_string
@dataclass(frozen=True)
class TextExtractor(Extractor[str]):
def process(self, element: Tag) -> str:
return normalize_string(element.text)
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] |
3,596 | mcwiki.tree | Tree | Tree(extractor, entries) | class Tree(NamedTuple):
extractor: "TreeExtractor"
entries: Tuple[TreeEntry[int], ...]
@property
def children(self) -> Iterator[Tuple[str, "TreeNode"]]:
for key, ref in self.entries:
if isinstance(ref, str):
if not (tree := self.extractor.templates.get(ref)):
tree = self.extractor.process(load(ref).html.li.ul)
self.extractor.templates[ref] = tree
yield from tree.children
elif key is not None:
yield key, self.extractor.nodes[ref]
def as_dict(self) -> Dict[str, "TreeNode"]:
return dict(self.children)
def format(
self,
prefix: str = "",
parents: Optional[Set["Tree"]] = None,
) -> Iterator[str]:
parents = parents or set()
if self in parents:
yield f"{prefix}└─ <...>"
return
children = list(self.children)
if not parents and len(children) == 1:
indents = [""]
else:
indents = ["├─ "] * (len(children) - 1) + ["└─ "]
for indent, (name, node) in zip(indents, children):
icons = ", ".join(node.icons)
if not name:
name, icons = f"[{icons}]", ""
if name:
yield prefix + indent + name
indent = "│ " if indent == "├─ " else " " * len(indent)
if icons:
yield prefix + indent + f"[{icons}]"
yield from [prefix + indent + line for line in textwrap.wrap(node.text)]
yield from node.content.format(prefix + indent, parents | {self})
def __str__(self):
return "\n".join(self.format())
| (extractor: mcwiki.tree.TreeExtractor, entries: Tuple[Union[Tuple[str, int], Tuple[NoneType, str]], ...]) | [
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0.031692687422037125,
0.006441139616072178,
0.008706938475370407,
0.05677323043346405
] |
3,597 | collections | __getnewargs__ | Return self as a plain tuple. Used by copy and pickle. | def namedtuple(typename, field_names, *, rename=False, defaults=None, module=None):
"""Returns a new subclass of tuple with named fields.
>>> Point = namedtuple('Point', ['x', 'y'])
>>> Point.__doc__ # docstring for the new class
'Point(x, y)'
>>> p = Point(11, y=22) # instantiate with positional args or keywords
>>> p[0] + p[1] # indexable like a plain tuple
33
>>> x, y = p # unpack like a regular tuple
>>> x, y
(11, 22)
>>> p.x + p.y # fields also accessible by name
33
>>> d = p._asdict() # convert to a dictionary
>>> d['x']
11
>>> Point(**d) # convert from a dictionary
Point(x=11, y=22)
>>> p._replace(x=100) # _replace() is like str.replace() but targets named fields
Point(x=100, y=22)
"""
# Validate the field names. At the user's option, either generate an error
# message or automatically replace the field name with a valid name.
if isinstance(field_names, str):
field_names = field_names.replace(',', ' ').split()
field_names = list(map(str, field_names))
typename = _sys.intern(str(typename))
if rename:
seen = set()
for index, name in enumerate(field_names):
if (not name.isidentifier()
or _iskeyword(name)
or name.startswith('_')
or name in seen):
field_names[index] = f'_{index}'
seen.add(name)
for name in [typename] + field_names:
if type(name) is not str:
raise TypeError('Type names and field names must be strings')
if not name.isidentifier():
raise ValueError('Type names and field names must be valid '
f'identifiers: {name!r}')
if _iskeyword(name):
raise ValueError('Type names and field names cannot be a '
f'keyword: {name!r}')
seen = set()
for name in field_names:
if name.startswith('_') and not rename:
raise ValueError('Field names cannot start with an underscore: '
f'{name!r}')
if name in seen:
raise ValueError(f'Encountered duplicate field name: {name!r}')
seen.add(name)
field_defaults = {}
if defaults is not None:
defaults = tuple(defaults)
if len(defaults) > len(field_names):
raise TypeError('Got more default values than field names')
field_defaults = dict(reversed(list(zip(reversed(field_names),
reversed(defaults)))))
# Variables used in the methods and docstrings
field_names = tuple(map(_sys.intern, field_names))
num_fields = len(field_names)
arg_list = ', '.join(field_names)
if num_fields == 1:
arg_list += ','
repr_fmt = '(' + ', '.join(f'{name}=%r' for name in field_names) + ')'
tuple_new = tuple.__new__
_dict, _tuple, _len, _map, _zip = dict, tuple, len, map, zip
# Create all the named tuple methods to be added to the class namespace
namespace = {
'_tuple_new': tuple_new,
'__builtins__': {},
'__name__': f'namedtuple_{typename}',
}
code = f'lambda _cls, {arg_list}: _tuple_new(_cls, ({arg_list}))'
__new__ = eval(code, namespace)
__new__.__name__ = '__new__'
__new__.__doc__ = f'Create new instance of {typename}({arg_list})'
if defaults is not None:
__new__.__defaults__ = defaults
@classmethod
def _make(cls, iterable):
result = tuple_new(cls, iterable)
if _len(result) != num_fields:
raise TypeError(f'Expected {num_fields} arguments, got {len(result)}')
return result
_make.__func__.__doc__ = (f'Make a new {typename} object from a sequence '
'or iterable')
def _replace(self, /, **kwds):
result = self._make(_map(kwds.pop, field_names, self))
if kwds:
raise ValueError(f'Got unexpected field names: {list(kwds)!r}')
return result
_replace.__doc__ = (f'Return a new {typename} object replacing specified '
'fields with new values')
def __repr__(self):
'Return a nicely formatted representation string'
return self.__class__.__name__ + repr_fmt % self
def _asdict(self):
'Return a new dict which maps field names to their values.'
return _dict(_zip(self._fields, self))
def __getnewargs__(self):
'Return self as a plain tuple. Used by copy and pickle.'
return _tuple(self)
# Modify function metadata to help with introspection and debugging
for method in (
__new__,
_make.__func__,
_replace,
__repr__,
_asdict,
__getnewargs__,
):
method.__qualname__ = f'{typename}.{method.__name__}'
# Build-up the class namespace dictionary
# and use type() to build the result class
class_namespace = {
'__doc__': f'{typename}({arg_list})',
'__slots__': (),
'_fields': field_names,
'_field_defaults': field_defaults,
'__new__': __new__,
'_make': _make,
'_replace': _replace,
'__repr__': __repr__,
'_asdict': _asdict,
'__getnewargs__': __getnewargs__,
'__match_args__': field_names,
}
for index, name in enumerate(field_names):
doc = _sys.intern(f'Alias for field number {index}')
class_namespace[name] = _tuplegetter(index, doc)
result = type(typename, (tuple,), class_namespace)
# For pickling to work, the __module__ variable needs to be set to the frame
# where the named tuple is created. Bypass this step in environments where
# sys._getframe is not defined (Jython for example) or sys._getframe is not
# defined for arguments greater than 0 (IronPython), or where the user has
# specified a particular module.
if module is None:
try:
module = _sys._getframe(1).f_globals.get('__name__', '__main__')
except (AttributeError, ValueError):
pass
if module is not None:
result.__module__ = module
return result
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3,598 | namedtuple_Tree | __new__ | Create new instance of Tree(extractor, entries) | from builtins import function
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] |
3,599 | collections | __repr__ | Return a nicely formatted representation string | def namedtuple(typename, field_names, *, rename=False, defaults=None, module=None):
"""Returns a new subclass of tuple with named fields.
>>> Point = namedtuple('Point', ['x', 'y'])
>>> Point.__doc__ # docstring for the new class
'Point(x, y)'
>>> p = Point(11, y=22) # instantiate with positional args or keywords
>>> p[0] + p[1] # indexable like a plain tuple
33
>>> x, y = p # unpack like a regular tuple
>>> x, y
(11, 22)
>>> p.x + p.y # fields also accessible by name
33
>>> d = p._asdict() # convert to a dictionary
>>> d['x']
11
>>> Point(**d) # convert from a dictionary
Point(x=11, y=22)
>>> p._replace(x=100) # _replace() is like str.replace() but targets named fields
Point(x=100, y=22)
"""
# Validate the field names. At the user's option, either generate an error
# message or automatically replace the field name with a valid name.
if isinstance(field_names, str):
field_names = field_names.replace(',', ' ').split()
field_names = list(map(str, field_names))
typename = _sys.intern(str(typename))
if rename:
seen = set()
for index, name in enumerate(field_names):
if (not name.isidentifier()
or _iskeyword(name)
or name.startswith('_')
or name in seen):
field_names[index] = f'_{index}'
seen.add(name)
for name in [typename] + field_names:
if type(name) is not str:
raise TypeError('Type names and field names must be strings')
if not name.isidentifier():
raise ValueError('Type names and field names must be valid '
f'identifiers: {name!r}')
if _iskeyword(name):
raise ValueError('Type names and field names cannot be a '
f'keyword: {name!r}')
seen = set()
for name in field_names:
if name.startswith('_') and not rename:
raise ValueError('Field names cannot start with an underscore: '
f'{name!r}')
if name in seen:
raise ValueError(f'Encountered duplicate field name: {name!r}')
seen.add(name)
field_defaults = {}
if defaults is not None:
defaults = tuple(defaults)
if len(defaults) > len(field_names):
raise TypeError('Got more default values than field names')
field_defaults = dict(reversed(list(zip(reversed(field_names),
reversed(defaults)))))
# Variables used in the methods and docstrings
field_names = tuple(map(_sys.intern, field_names))
num_fields = len(field_names)
arg_list = ', '.join(field_names)
if num_fields == 1:
arg_list += ','
repr_fmt = '(' + ', '.join(f'{name}=%r' for name in field_names) + ')'
tuple_new = tuple.__new__
_dict, _tuple, _len, _map, _zip = dict, tuple, len, map, zip
# Create all the named tuple methods to be added to the class namespace
namespace = {
'_tuple_new': tuple_new,
'__builtins__': {},
'__name__': f'namedtuple_{typename}',
}
code = f'lambda _cls, {arg_list}: _tuple_new(_cls, ({arg_list}))'
__new__ = eval(code, namespace)
__new__.__name__ = '__new__'
__new__.__doc__ = f'Create new instance of {typename}({arg_list})'
if defaults is not None:
__new__.__defaults__ = defaults
@classmethod
def _make(cls, iterable):
result = tuple_new(cls, iterable)
if _len(result) != num_fields:
raise TypeError(f'Expected {num_fields} arguments, got {len(result)}')
return result
_make.__func__.__doc__ = (f'Make a new {typename} object from a sequence '
'or iterable')
def _replace(self, /, **kwds):
result = self._make(_map(kwds.pop, field_names, self))
if kwds:
raise ValueError(f'Got unexpected field names: {list(kwds)!r}')
return result
_replace.__doc__ = (f'Return a new {typename} object replacing specified '
'fields with new values')
def __repr__(self):
'Return a nicely formatted representation string'
return self.__class__.__name__ + repr_fmt % self
def _asdict(self):
'Return a new dict which maps field names to their values.'
return _dict(_zip(self._fields, self))
def __getnewargs__(self):
'Return self as a plain tuple. Used by copy and pickle.'
return _tuple(self)
# Modify function metadata to help with introspection and debugging
for method in (
__new__,
_make.__func__,
_replace,
__repr__,
_asdict,
__getnewargs__,
):
method.__qualname__ = f'{typename}.{method.__name__}'
# Build-up the class namespace dictionary
# and use type() to build the result class
class_namespace = {
'__doc__': f'{typename}({arg_list})',
'__slots__': (),
'_fields': field_names,
'_field_defaults': field_defaults,
'__new__': __new__,
'_make': _make,
'_replace': _replace,
'__repr__': __repr__,
'_asdict': _asdict,
'__getnewargs__': __getnewargs__,
'__match_args__': field_names,
}
for index, name in enumerate(field_names):
doc = _sys.intern(f'Alias for field number {index}')
class_namespace[name] = _tuplegetter(index, doc)
result = type(typename, (tuple,), class_namespace)
# For pickling to work, the __module__ variable needs to be set to the frame
# where the named tuple is created. Bypass this step in environments where
# sys._getframe is not defined (Jython for example) or sys._getframe is not
# defined for arguments greater than 0 (IronPython), or where the user has
# specified a particular module.
if module is None:
try:
module = _sys._getframe(1).f_globals.get('__name__', '__main__')
except (AttributeError, ValueError):
pass
if module is not None:
result.__module__ = module
return result
| (self) | [
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3,600 | mcwiki.tree | __str__ | null | def __str__(self):
return "\n".join(self.format())
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] |
3,601 | collections | _asdict | Return a new dict which maps field names to their values. | def namedtuple(typename, field_names, *, rename=False, defaults=None, module=None):
"""Returns a new subclass of tuple with named fields.
>>> Point = namedtuple('Point', ['x', 'y'])
>>> Point.__doc__ # docstring for the new class
'Point(x, y)'
>>> p = Point(11, y=22) # instantiate with positional args or keywords
>>> p[0] + p[1] # indexable like a plain tuple
33
>>> x, y = p # unpack like a regular tuple
>>> x, y
(11, 22)
>>> p.x + p.y # fields also accessible by name
33
>>> d = p._asdict() # convert to a dictionary
>>> d['x']
11
>>> Point(**d) # convert from a dictionary
Point(x=11, y=22)
>>> p._replace(x=100) # _replace() is like str.replace() but targets named fields
Point(x=100, y=22)
"""
# Validate the field names. At the user's option, either generate an error
# message or automatically replace the field name with a valid name.
if isinstance(field_names, str):
field_names = field_names.replace(',', ' ').split()
field_names = list(map(str, field_names))
typename = _sys.intern(str(typename))
if rename:
seen = set()
for index, name in enumerate(field_names):
if (not name.isidentifier()
or _iskeyword(name)
or name.startswith('_')
or name in seen):
field_names[index] = f'_{index}'
seen.add(name)
for name in [typename] + field_names:
if type(name) is not str:
raise TypeError('Type names and field names must be strings')
if not name.isidentifier():
raise ValueError('Type names and field names must be valid '
f'identifiers: {name!r}')
if _iskeyword(name):
raise ValueError('Type names and field names cannot be a '
f'keyword: {name!r}')
seen = set()
for name in field_names:
if name.startswith('_') and not rename:
raise ValueError('Field names cannot start with an underscore: '
f'{name!r}')
if name in seen:
raise ValueError(f'Encountered duplicate field name: {name!r}')
seen.add(name)
field_defaults = {}
if defaults is not None:
defaults = tuple(defaults)
if len(defaults) > len(field_names):
raise TypeError('Got more default values than field names')
field_defaults = dict(reversed(list(zip(reversed(field_names),
reversed(defaults)))))
# Variables used in the methods and docstrings
field_names = tuple(map(_sys.intern, field_names))
num_fields = len(field_names)
arg_list = ', '.join(field_names)
if num_fields == 1:
arg_list += ','
repr_fmt = '(' + ', '.join(f'{name}=%r' for name in field_names) + ')'
tuple_new = tuple.__new__
_dict, _tuple, _len, _map, _zip = dict, tuple, len, map, zip
# Create all the named tuple methods to be added to the class namespace
namespace = {
'_tuple_new': tuple_new,
'__builtins__': {},
'__name__': f'namedtuple_{typename}',
}
code = f'lambda _cls, {arg_list}: _tuple_new(_cls, ({arg_list}))'
__new__ = eval(code, namespace)
__new__.__name__ = '__new__'
__new__.__doc__ = f'Create new instance of {typename}({arg_list})'
if defaults is not None:
__new__.__defaults__ = defaults
@classmethod
def _make(cls, iterable):
result = tuple_new(cls, iterable)
if _len(result) != num_fields:
raise TypeError(f'Expected {num_fields} arguments, got {len(result)}')
return result
_make.__func__.__doc__ = (f'Make a new {typename} object from a sequence '
'or iterable')
def _replace(self, /, **kwds):
result = self._make(_map(kwds.pop, field_names, self))
if kwds:
raise ValueError(f'Got unexpected field names: {list(kwds)!r}')
return result
_replace.__doc__ = (f'Return a new {typename} object replacing specified '
'fields with new values')
def __repr__(self):
'Return a nicely formatted representation string'
return self.__class__.__name__ + repr_fmt % self
def _asdict(self):
'Return a new dict which maps field names to their values.'
return _dict(_zip(self._fields, self))
def __getnewargs__(self):
'Return self as a plain tuple. Used by copy and pickle.'
return _tuple(self)
# Modify function metadata to help with introspection and debugging
for method in (
__new__,
_make.__func__,
_replace,
__repr__,
_asdict,
__getnewargs__,
):
method.__qualname__ = f'{typename}.{method.__name__}'
# Build-up the class namespace dictionary
# and use type() to build the result class
class_namespace = {
'__doc__': f'{typename}({arg_list})',
'__slots__': (),
'_fields': field_names,
'_field_defaults': field_defaults,
'__new__': __new__,
'_make': _make,
'_replace': _replace,
'__repr__': __repr__,
'_asdict': _asdict,
'__getnewargs__': __getnewargs__,
'__match_args__': field_names,
}
for index, name in enumerate(field_names):
doc = _sys.intern(f'Alias for field number {index}')
class_namespace[name] = _tuplegetter(index, doc)
result = type(typename, (tuple,), class_namespace)
# For pickling to work, the __module__ variable needs to be set to the frame
# where the named tuple is created. Bypass this step in environments where
# sys._getframe is not defined (Jython for example) or sys._getframe is not
# defined for arguments greater than 0 (IronPython), or where the user has
# specified a particular module.
if module is None:
try:
module = _sys._getframe(1).f_globals.get('__name__', '__main__')
except (AttributeError, ValueError):
pass
if module is not None:
result.__module__ = module
return result
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] |
3,602 | collections | _replace | Return a new Tree object replacing specified fields with new values | def namedtuple(typename, field_names, *, rename=False, defaults=None, module=None):
"""Returns a new subclass of tuple with named fields.
>>> Point = namedtuple('Point', ['x', 'y'])
>>> Point.__doc__ # docstring for the new class
'Point(x, y)'
>>> p = Point(11, y=22) # instantiate with positional args or keywords
>>> p[0] + p[1] # indexable like a plain tuple
33
>>> x, y = p # unpack like a regular tuple
>>> x, y
(11, 22)
>>> p.x + p.y # fields also accessible by name
33
>>> d = p._asdict() # convert to a dictionary
>>> d['x']
11
>>> Point(**d) # convert from a dictionary
Point(x=11, y=22)
>>> p._replace(x=100) # _replace() is like str.replace() but targets named fields
Point(x=100, y=22)
"""
# Validate the field names. At the user's option, either generate an error
# message or automatically replace the field name with a valid name.
if isinstance(field_names, str):
field_names = field_names.replace(',', ' ').split()
field_names = list(map(str, field_names))
typename = _sys.intern(str(typename))
if rename:
seen = set()
for index, name in enumerate(field_names):
if (not name.isidentifier()
or _iskeyword(name)
or name.startswith('_')
or name in seen):
field_names[index] = f'_{index}'
seen.add(name)
for name in [typename] + field_names:
if type(name) is not str:
raise TypeError('Type names and field names must be strings')
if not name.isidentifier():
raise ValueError('Type names and field names must be valid '
f'identifiers: {name!r}')
if _iskeyword(name):
raise ValueError('Type names and field names cannot be a '
f'keyword: {name!r}')
seen = set()
for name in field_names:
if name.startswith('_') and not rename:
raise ValueError('Field names cannot start with an underscore: '
f'{name!r}')
if name in seen:
raise ValueError(f'Encountered duplicate field name: {name!r}')
seen.add(name)
field_defaults = {}
if defaults is not None:
defaults = tuple(defaults)
if len(defaults) > len(field_names):
raise TypeError('Got more default values than field names')
field_defaults = dict(reversed(list(zip(reversed(field_names),
reversed(defaults)))))
# Variables used in the methods and docstrings
field_names = tuple(map(_sys.intern, field_names))
num_fields = len(field_names)
arg_list = ', '.join(field_names)
if num_fields == 1:
arg_list += ','
repr_fmt = '(' + ', '.join(f'{name}=%r' for name in field_names) + ')'
tuple_new = tuple.__new__
_dict, _tuple, _len, _map, _zip = dict, tuple, len, map, zip
# Create all the named tuple methods to be added to the class namespace
namespace = {
'_tuple_new': tuple_new,
'__builtins__': {},
'__name__': f'namedtuple_{typename}',
}
code = f'lambda _cls, {arg_list}: _tuple_new(_cls, ({arg_list}))'
__new__ = eval(code, namespace)
__new__.__name__ = '__new__'
__new__.__doc__ = f'Create new instance of {typename}({arg_list})'
if defaults is not None:
__new__.__defaults__ = defaults
@classmethod
def _make(cls, iterable):
result = tuple_new(cls, iterable)
if _len(result) != num_fields:
raise TypeError(f'Expected {num_fields} arguments, got {len(result)}')
return result
_make.__func__.__doc__ = (f'Make a new {typename} object from a sequence '
'or iterable')
def _replace(self, /, **kwds):
result = self._make(_map(kwds.pop, field_names, self))
if kwds:
raise ValueError(f'Got unexpected field names: {list(kwds)!r}')
return result
_replace.__doc__ = (f'Return a new {typename} object replacing specified '
'fields with new values')
def __repr__(self):
'Return a nicely formatted representation string'
return self.__class__.__name__ + repr_fmt % self
def _asdict(self):
'Return a new dict which maps field names to their values.'
return _dict(_zip(self._fields, self))
def __getnewargs__(self):
'Return self as a plain tuple. Used by copy and pickle.'
return _tuple(self)
# Modify function metadata to help with introspection and debugging
for method in (
__new__,
_make.__func__,
_replace,
__repr__,
_asdict,
__getnewargs__,
):
method.__qualname__ = f'{typename}.{method.__name__}'
# Build-up the class namespace dictionary
# and use type() to build the result class
class_namespace = {
'__doc__': f'{typename}({arg_list})',
'__slots__': (),
'_fields': field_names,
'_field_defaults': field_defaults,
'__new__': __new__,
'_make': _make,
'_replace': _replace,
'__repr__': __repr__,
'_asdict': _asdict,
'__getnewargs__': __getnewargs__,
'__match_args__': field_names,
}
for index, name in enumerate(field_names):
doc = _sys.intern(f'Alias for field number {index}')
class_namespace[name] = _tuplegetter(index, doc)
result = type(typename, (tuple,), class_namespace)
# For pickling to work, the __module__ variable needs to be set to the frame
# where the named tuple is created. Bypass this step in environments where
# sys._getframe is not defined (Jython for example) or sys._getframe is not
# defined for arguments greater than 0 (IronPython), or where the user has
# specified a particular module.
if module is None:
try:
module = _sys._getframe(1).f_globals.get('__name__', '__main__')
except (AttributeError, ValueError):
pass
if module is not None:
result.__module__ = module
return result
| (self, /, **kwds) | [
0.05422765016555786,
0.0014280600007623434,
-0.015411201864480972,
-0.03572596609592438,
-0.032882723957300186,
-0.03333599492907524,
0.002827790565788746,
0.02155095897614956,
0.021025575697422028,
-0.046151190996170044,
-0.04219537600874901,
0.05711209774017334,
0.004519829526543617,
0.06329306215047836,
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3,603 | mcwiki.tree | as_dict | null | def as_dict(self) -> Dict[str, "TreeNode"]:
return dict(self.children)
| (self) -> Dict[str, mcwiki.tree.TreeNode] | [
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3,604 | mcwiki.tree | format | null | def format(
self,
prefix: str = "",
parents: Optional[Set["Tree"]] = None,
) -> Iterator[str]:
parents = parents or set()
if self in parents:
yield f"{prefix}└─ <...>"
return
children = list(self.children)
if not parents and len(children) == 1:
indents = [""]
else:
indents = ["├─ "] * (len(children) - 1) + ["└─ "]
for indent, (name, node) in zip(indents, children):
icons = ", ".join(node.icons)
if not name:
name, icons = f"[{icons}]", ""
if name:
yield prefix + indent + name
indent = "│ " if indent == "├─ " else " " * len(indent)
if icons:
yield prefix + indent + f"[{icons}]"
yield from [prefix + indent + line for line in textwrap.wrap(node.text)]
yield from node.content.format(prefix + indent, parents | {self})
| (self, prefix: str = '', parents: Optional[Set[mcwiki.tree.Tree]] = None) -> Iterator[str] | [
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3,605 | mcwiki.tree | TreeExtractor | TreeExtractor(selector: str = '.treeview > ul', nodes: List[mcwiki.tree.TreeNode] = <factory>, references: Dict[mcwiki.tree.TreeNode, int] = <factory>, templates: Dict[str, mcwiki.tree.Tree] = <factory>) | class TreeExtractor(Extractor[Tree]):
selector: str = ".treeview > ul"
nodes: List[TreeNode] = field(default_factory=list, repr=False)
references: Dict[TreeNode, int] = field(default_factory=dict, repr=False)
templates: Dict[str, Tree] = field(default_factory=dict, repr=False)
def __post_init__(self):
if not self.nodes:
self.nodes.append(TreeNode("", (), Tree(self, ())))
def process(self, element: Tag) -> Tree:
nodes: Dict[str, TreeNode] = {}
inherit: Dict[None, str] = {}
for key, node in self.collect_children(element):
if isinstance(node, str):
inherit[None] = node
continue
if not isinstance(key, str):
continue
if previous := nodes.get(key):
node = TreeNode(
f"{previous.text} {node.text}".strip(),
previous.icons + node.icons,
Tree(self, previous.content.entries + node.content.entries),
)
nodes[key] = node
entries: Dict[str, int] = {}
for key, node in nodes.items():
if not (ref := self.references.get(node)):
node = nodes[key]
ref = len(self.nodes)
self.nodes.append(node)
self.references[node] = ref
entries[key] = ref
return Tree(self, tuple(entries.items()) + tuple(inherit.items()))
def collect_children(self, element: Tag) -> Iterator[TreeEntry[TreeNode]]:
for list_item in element.children:
if not list_item.name:
continue
if "nbttree-inherited" in list_item.get("class", ""):
yield None, list_item.get("data-page")
continue
text = ""
icons: List[str] = []
children: List[TreeEntry[int]] = []
for child in list_item.children:
if not child.name:
text += child
elif child.span and "sprite" in child.span.get("class", ""):
icons.append(child["title"])
elif child.name == "ul" or child.ul and (child := child.ul):
children.extend(self.process(child).entries)
else:
text += child.text
name, text = map(
normalize_string, re.split(r":\s| - |$", text + " ", maxsplit=1)
)
if name or icons or children:
if not text and " " in name and name[0] not in "<([{":
name, text = text, name
yield name, TreeNode(
text,
tuple(icons),
Tree(self, tuple(children)),
)
def __hash__(self):
return hash(id(self))
| (selector: str = '.treeview > ul', nodes: List[mcwiki.tree.TreeNode] = <factory>, references: Dict[mcwiki.tree.TreeNode, int] = <factory>, templates: Dict[str, mcwiki.tree.Tree] = <factory>) -> None | [
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] |
3,606 | mcwiki.tree | __delattr__ | null | __all__ = [
"Tree",
"TreeEntry",
"TreeNode",
"TreeExtractor",
]
import re
import textwrap
from dataclasses import dataclass, field
from typing import (
Dict,
Iterator,
List,
NamedTuple,
Optional,
Set,
Tuple,
TypeVar,
Union,
)
from bs4 import Tag
from .extractor import Extractor
from .page import load
from .utils import normalize_string
TreeNodeType = TypeVar("TreeNodeType", int, "TreeNode")
TreeEntry = Union[Tuple[str, TreeNodeType], Tuple[None, str]]
class Tree(NamedTuple):
extractor: "TreeExtractor"
entries: Tuple[TreeEntry[int], ...]
@property
def children(self) -> Iterator[Tuple[str, "TreeNode"]]:
for key, ref in self.entries:
if isinstance(ref, str):
if not (tree := self.extractor.templates.get(ref)):
tree = self.extractor.process(load(ref).html.li.ul)
self.extractor.templates[ref] = tree
yield from tree.children
elif key is not None:
yield key, self.extractor.nodes[ref]
def as_dict(self) -> Dict[str, "TreeNode"]:
return dict(self.children)
def format(
self,
prefix: str = "",
parents: Optional[Set["Tree"]] = None,
) -> Iterator[str]:
parents = parents or set()
if self in parents:
yield f"{prefix}└─ <...>"
return
children = list(self.children)
if not parents and len(children) == 1:
indents = [""]
else:
indents = ["├─ "] * (len(children) - 1) + ["└─ "]
for indent, (name, node) in zip(indents, children):
icons = ", ".join(node.icons)
if not name:
name, icons = f"[{icons}]", ""
if name:
yield prefix + indent + name
indent = "│ " if indent == "├─ " else " " * len(indent)
if icons:
yield prefix + indent + f"[{icons}]"
yield from [prefix + indent + line for line in textwrap.wrap(node.text)]
yield from node.content.format(prefix + indent, parents | {self})
def __str__(self):
return "\n".join(self.format())
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3,608 | mcwiki.tree | __hash__ | null | def __hash__(self):
return hash(id(self))
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3,610 | mcwiki.tree | __post_init__ | null | def __post_init__(self):
if not self.nodes:
self.nodes.append(TreeNode("", (), Tree(self, ())))
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] |
3,613 | mcwiki.tree | collect_children | null | def collect_children(self, element: Tag) -> Iterator[TreeEntry[TreeNode]]:
for list_item in element.children:
if not list_item.name:
continue
if "nbttree-inherited" in list_item.get("class", ""):
yield None, list_item.get("data-page")
continue
text = ""
icons: List[str] = []
children: List[TreeEntry[int]] = []
for child in list_item.children:
if not child.name:
text += child
elif child.span and "sprite" in child.span.get("class", ""):
icons.append(child["title"])
elif child.name == "ul" or child.ul and (child := child.ul):
children.extend(self.process(child).entries)
else:
text += child.text
name, text = map(
normalize_string, re.split(r":\s| - |$", text + " ", maxsplit=1)
)
if name or icons or children:
if not text and " " in name and name[0] not in "<([{":
name, text = text, name
yield name, TreeNode(
text,
tuple(icons),
Tree(self, tuple(children)),
)
| (self, element: bs4.element.Tag) -> Iterator[Union[Tuple[str, mcwiki.tree.TreeNode], Tuple[NoneType, str]]] | [
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] |
3,614 | mcwiki.tree | process | null | def process(self, element: Tag) -> Tree:
nodes: Dict[str, TreeNode] = {}
inherit: Dict[None, str] = {}
for key, node in self.collect_children(element):
if isinstance(node, str):
inherit[None] = node
continue
if not isinstance(key, str):
continue
if previous := nodes.get(key):
node = TreeNode(
f"{previous.text} {node.text}".strip(),
previous.icons + node.icons,
Tree(self, previous.content.entries + node.content.entries),
)
nodes[key] = node
entries: Dict[str, int] = {}
for key, node in nodes.items():
if not (ref := self.references.get(node)):
node = nodes[key]
ref = len(self.nodes)
self.nodes.append(node)
self.references[node] = ref
entries[key] = ref
return Tree(self, tuple(entries.items()) + tuple(inherit.items()))
| (self, element: bs4.element.Tag) -> mcwiki.tree.Tree | [
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3,616 | mcwiki.tree | TreeNode | TreeNode(text, icons, content) | class TreeNode(NamedTuple):
text: str
icons: Tuple[str, ...]
content: Tree
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] |
3,618 | namedtuple_TreeNode | __new__ | Create new instance of TreeNode(text, icons, content) | from builtins import function
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] |
3,621 | collections | _replace | Return a new TreeNode object replacing specified fields with new values | def namedtuple(typename, field_names, *, rename=False, defaults=None, module=None):
"""Returns a new subclass of tuple with named fields.
>>> Point = namedtuple('Point', ['x', 'y'])
>>> Point.__doc__ # docstring for the new class
'Point(x, y)'
>>> p = Point(11, y=22) # instantiate with positional args or keywords
>>> p[0] + p[1] # indexable like a plain tuple
33
>>> x, y = p # unpack like a regular tuple
>>> x, y
(11, 22)
>>> p.x + p.y # fields also accessible by name
33
>>> d = p._asdict() # convert to a dictionary
>>> d['x']
11
>>> Point(**d) # convert from a dictionary
Point(x=11, y=22)
>>> p._replace(x=100) # _replace() is like str.replace() but targets named fields
Point(x=100, y=22)
"""
# Validate the field names. At the user's option, either generate an error
# message or automatically replace the field name with a valid name.
if isinstance(field_names, str):
field_names = field_names.replace(',', ' ').split()
field_names = list(map(str, field_names))
typename = _sys.intern(str(typename))
if rename:
seen = set()
for index, name in enumerate(field_names):
if (not name.isidentifier()
or _iskeyword(name)
or name.startswith('_')
or name in seen):
field_names[index] = f'_{index}'
seen.add(name)
for name in [typename] + field_names:
if type(name) is not str:
raise TypeError('Type names and field names must be strings')
if not name.isidentifier():
raise ValueError('Type names and field names must be valid '
f'identifiers: {name!r}')
if _iskeyword(name):
raise ValueError('Type names and field names cannot be a '
f'keyword: {name!r}')
seen = set()
for name in field_names:
if name.startswith('_') and not rename:
raise ValueError('Field names cannot start with an underscore: '
f'{name!r}')
if name in seen:
raise ValueError(f'Encountered duplicate field name: {name!r}')
seen.add(name)
field_defaults = {}
if defaults is not None:
defaults = tuple(defaults)
if len(defaults) > len(field_names):
raise TypeError('Got more default values than field names')
field_defaults = dict(reversed(list(zip(reversed(field_names),
reversed(defaults)))))
# Variables used in the methods and docstrings
field_names = tuple(map(_sys.intern, field_names))
num_fields = len(field_names)
arg_list = ', '.join(field_names)
if num_fields == 1:
arg_list += ','
repr_fmt = '(' + ', '.join(f'{name}=%r' for name in field_names) + ')'
tuple_new = tuple.__new__
_dict, _tuple, _len, _map, _zip = dict, tuple, len, map, zip
# Create all the named tuple methods to be added to the class namespace
namespace = {
'_tuple_new': tuple_new,
'__builtins__': {},
'__name__': f'namedtuple_{typename}',
}
code = f'lambda _cls, {arg_list}: _tuple_new(_cls, ({arg_list}))'
__new__ = eval(code, namespace)
__new__.__name__ = '__new__'
__new__.__doc__ = f'Create new instance of {typename}({arg_list})'
if defaults is not None:
__new__.__defaults__ = defaults
@classmethod
def _make(cls, iterable):
result = tuple_new(cls, iterable)
if _len(result) != num_fields:
raise TypeError(f'Expected {num_fields} arguments, got {len(result)}')
return result
_make.__func__.__doc__ = (f'Make a new {typename} object from a sequence '
'or iterable')
def _replace(self, /, **kwds):
result = self._make(_map(kwds.pop, field_names, self))
if kwds:
raise ValueError(f'Got unexpected field names: {list(kwds)!r}')
return result
_replace.__doc__ = (f'Return a new {typename} object replacing specified '
'fields with new values')
def __repr__(self):
'Return a nicely formatted representation string'
return self.__class__.__name__ + repr_fmt % self
def _asdict(self):
'Return a new dict which maps field names to their values.'
return _dict(_zip(self._fields, self))
def __getnewargs__(self):
'Return self as a plain tuple. Used by copy and pickle.'
return _tuple(self)
# Modify function metadata to help with introspection and debugging
for method in (
__new__,
_make.__func__,
_replace,
__repr__,
_asdict,
__getnewargs__,
):
method.__qualname__ = f'{typename}.{method.__name__}'
# Build-up the class namespace dictionary
# and use type() to build the result class
class_namespace = {
'__doc__': f'{typename}({arg_list})',
'__slots__': (),
'_fields': field_names,
'_field_defaults': field_defaults,
'__new__': __new__,
'_make': _make,
'_replace': _replace,
'__repr__': __repr__,
'_asdict': _asdict,
'__getnewargs__': __getnewargs__,
'__match_args__': field_names,
}
for index, name in enumerate(field_names):
doc = _sys.intern(f'Alias for field number {index}')
class_namespace[name] = _tuplegetter(index, doc)
result = type(typename, (tuple,), class_namespace)
# For pickling to work, the __module__ variable needs to be set to the frame
# where the named tuple is created. Bypass this step in environments where
# sys._getframe is not defined (Jython for example) or sys._getframe is not
# defined for arguments greater than 0 (IronPython), or where the user has
# specified a particular module.
if module is None:
try:
module = _sys._getframe(1).f_globals.get('__name__', '__main__')
except (AttributeError, ValueError):
pass
if module is not None:
result.__module__ = module
return result
| (self, /, **kwds) | [
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0.0013507658150047064,
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3,622 | mcwiki.page | collect_elements | null | def collect_elements(start: Tag) -> Iterator[PageElement]:
for sibling in start.next_siblings:
tag = sibling.name
if tag and tag.startswith("h") and tag <= start.name:
break
yield sibling
| (start: bs4.element.Tag) -> Iterator[bs4.element.PageElement] | [
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3,624 | mcwiki.page | from_markup | null | def from_markup(markup: str) -> "PageSection":
html = BeautifulSoup(markup, "html.parser")
content = html.find("div", "mw-parser-output").extract()
return PageSection(content)
| (markup: str) -> mcwiki.page.PageSection | [
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3,625 | mcwiki.page | load | null | def load(page: str) -> "PageSection":
if not page.startswith("http"):
page = BASE_URL + re.sub(r"[\s_]+", "_", page)
return from_markup(requests.get(page).text)
| (page: str) -> mcwiki.page.PageSection | [
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3,626 | mcwiki.page | load_file | null | def load_file(filepath: Union[str, Path]) -> "PageSection":
return from_markup(Path(filepath).read_text())
| (filepath: Union[str, pathlib.Path]) -> mcwiki.page.PageSection | [
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] |
3,631 | meshio._mesh | CellBlock | null | class CellBlock:
def __init__(
self,
cell_type: str,
data: list | np.ndarray,
tags: list[str] | None = None,
):
self.type = cell_type
self.data = data
if cell_type.startswith("polyhedron"):
self.dim = 3
else:
self.data = np.asarray(self.data)
self.dim = topological_dimension[cell_type]
self.tags = [] if tags is None else tags
def __repr__(self):
items = [
"meshio CellBlock",
f"type: {self.type}",
f"num cells: {len(self.data)}",
f"tags: {self.tags}",
]
return "<" + ", ".join(items) + ">"
def __len__(self):
return len(self.data)
| (cell_type: 'str', data: 'list | np.ndarray', tags: 'list[str] | None' = None) | [
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3,632 | meshio._mesh | __init__ | null | def __init__(
self,
cell_type: str,
data: list | np.ndarray,
tags: list[str] | None = None,
):
self.type = cell_type
self.data = data
if cell_type.startswith("polyhedron"):
self.dim = 3
else:
self.data = np.asarray(self.data)
self.dim = topological_dimension[cell_type]
self.tags = [] if tags is None else tags
| (self, cell_type: str, data: list | numpy.ndarray, tags: Optional[list[str]] = None) | [
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3,633 | meshio._mesh | __len__ | null | def __len__(self):
return len(self.data)
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3,634 | meshio._mesh | __repr__ | null | def __repr__(self):
items = [
"meshio CellBlock",
f"type: {self.type}",
f"num cells: {len(self.data)}",
f"tags: {self.tags}",
]
return "<" + ", ".join(items) + ">"
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] |
3,635 | meshio._mesh | Mesh | null | class Mesh:
def __init__(
self,
points: ArrayLike,
cells: dict[str, ArrayLike] | list[tuple[str, ArrayLike] | CellBlock],
point_data: dict[str, ArrayLike] | None = None,
cell_data: dict[str, list[ArrayLike]] | None = None,
field_data=None,
point_sets: dict[str, ArrayLike] | None = None,
cell_sets: dict[str, list[ArrayLike]] | None = None,
gmsh_periodic=None,
info=None,
):
self.points = np.asarray(points)
if isinstance(cells, dict):
# Let's not deprecate this for now.
# warn(
# "cell dictionaries are deprecated, use list of tuples, e.g., "
# '[("triangle", [[0, 1, 2], ...])]',
# DeprecationWarning,
# )
# old dict, deprecated
#
# convert dict to list of tuples
cells = list(cells.items())
self.cells = []
for cell_block in cells:
if isinstance(cell_block, tuple):
cell_type, data = cell_block
cell_block = CellBlock(
cell_type,
# polyhedron data cannot be converted to numpy arrays
# because the sublists don't all have the same length
data if cell_type.startswith("polyhedron") else np.asarray(data),
)
self.cells.append(cell_block)
self.point_data = {} if point_data is None else point_data
self.cell_data = {} if cell_data is None else cell_data
self.field_data = {} if field_data is None else field_data
self.point_sets = {} if point_sets is None else point_sets
self.cell_sets = {} if cell_sets is None else cell_sets
self.gmsh_periodic = gmsh_periodic
self.info = info
# assert point data consistency and convert to numpy arrays
for key, item in self.point_data.items():
self.point_data[key] = np.asarray(item)
if len(self.point_data[key]) != len(self.points):
raise ValueError(
f"len(points) = {len(self.points)}, "
f'but len(point_data["{key}"]) = {len(self.point_data[key])}'
)
# assert cell data consistency and convert to numpy arrays
for key, data in self.cell_data.items():
if len(data) != len(cells):
raise ValueError(
f"Incompatible cell data '{key}'. "
f"{len(cells)} cell blocks, but '{key}' has {len(data)} blocks."
)
for k in range(len(data)):
data[k] = np.asarray(data[k])
if len(data[k]) != len(self.cells[k]):
raise ValueError(
"Incompatible cell data. "
+ f"Cell block {k} ('{self.cells[k].type}') "
+ f"has length {len(self.cells[k])}, but "
+ f"corresponding cell data item has length {len(data[k])}."
)
def __repr__(self):
lines = ["<meshio mesh object>", f" Number of points: {len(self.points)}"]
special_cells = [
"polygon",
"polyhedron",
"VTK_LAGRANGE_CURVE",
"VTK_LAGRANGE_TRIANGLE",
"VTK_LAGRANGE_QUADRILATERAL",
"VTK_LAGRANGE_TETRAHEDRON",
"VTK_LAGRANGE_HEXAHEDRON",
"VTK_LAGRANGE_WEDGE",
"VTK_LAGRANGE_PYRAMID",
]
if len(self.cells) > 0:
lines.append(" Number of cells:")
for cell_block in self.cells:
string = cell_block.type
if cell_block.type in special_cells:
string += f"({cell_block.data.shape[1]})"
lines.append(f" {string}: {len(cell_block)}")
else:
lines.append(" No cells.")
if self.point_sets:
names = ", ".join(self.point_sets.keys())
lines.append(f" Point sets: {names}")
if self.cell_sets:
names = ", ".join(self.cell_sets.keys())
lines.append(f" Cell sets: {names}")
if self.point_data:
names = ", ".join(self.point_data.keys())
lines.append(f" Point data: {names}")
if self.cell_data:
names = ", ".join(self.cell_data.keys())
lines.append(f" Cell data: {names}")
if self.field_data:
names = ", ".join(self.field_data.keys())
lines.append(f" Field data: {names}")
return "\n".join(lines)
def copy(self):
return copy.deepcopy(self)
def write(self, path_or_buf, file_format: str | None = None, **kwargs):
# avoid circular import
from ._helpers import write
write(path_or_buf, self, file_format, **kwargs)
def get_cells_type(self, cell_type: str):
if not any(c.type == cell_type for c in self.cells):
return np.empty((0, num_nodes_per_cell[cell_type]), dtype=int)
return np.concatenate([c.data for c in self.cells if c.type == cell_type])
def get_cell_data(self, name: str, cell_type: str):
return np.concatenate(
[d for c, d in zip(self.cells, self.cell_data[name]) if c.type == cell_type]
)
@property
def cells_dict(self):
cells_dict = {}
for cell_block in self.cells:
if cell_block.type not in cells_dict:
cells_dict[cell_block.type] = []
cells_dict[cell_block.type].append(cell_block.data)
# concatenate
for key, value in cells_dict.items():
cells_dict[key] = np.concatenate(value)
return cells_dict
@property
def cell_data_dict(self):
cell_data_dict = {}
for key, value_list in self.cell_data.items():
cell_data_dict[key] = {}
for value, cell_block in zip(value_list, self.cells):
if cell_block.type not in cell_data_dict[key]:
cell_data_dict[key][cell_block.type] = []
cell_data_dict[key][cell_block.type].append(value)
for cell_type, val in cell_data_dict[key].items():
cell_data_dict[key][cell_type] = np.concatenate(val)
return cell_data_dict
@property
def cell_sets_dict(self):
sets_dict = {}
for key, member_list in self.cell_sets.items():
sets_dict[key] = {}
offsets = {}
for members, cells in zip(member_list, self.cells):
if members is None:
continue
if cells.type in offsets:
offset = offsets[cells.type]
offsets[cells.type] += cells.data.shape[0]
else:
offset = 0
offsets[cells.type] = cells.data.shape[0]
if cells.type in sets_dict[key]:
sets_dict[key][cells.type].append(members + offset)
else:
sets_dict[key][cells.type] = [members + offset]
return {
key: {
cell_type: np.concatenate(members)
for cell_type, members in sets.items()
if sum(map(np.size, members))
}
for key, sets in sets_dict.items()
}
@classmethod
def read(cls, path_or_buf, file_format=None):
# avoid circular import
from ._helpers import read
# 2021-02-21
warn("meshio.Mesh.read is deprecated, use meshio.read instead")
return read(path_or_buf, file_format)
def cell_sets_to_data(self, data_name: str | None = None):
# If possible, convert cell sets to integer cell data. This is possible if all
# cells appear exactly in one group.
default_value = -1
if len(self.cell_sets) > 0:
intfun = []
for k, c in enumerate(zip(*self.cell_sets.values())):
# Go for -1 as the default value. (NaN is not int.)
arr = np.full(len(self.cells[k]), default_value, dtype=int)
for i, cc | (points: 'ArrayLike', cells: 'dict[str, ArrayLike] | list[tuple[str, ArrayLike] | CellBlock]', point_data: 'dict[str, ArrayLike] | None' = None, cell_data: 'dict[str, list[ArrayLike]] | None' = None, field_data=None, point_sets: 'dict[str, ArrayLike] | None' = None, cell_sets: 'dict[str, list[ArrayLike]] | None' = None, gmsh_periodic=None, info=None) | [
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