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stringlengths 0
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22,734 | pyproject_api._frontend | metadata_from_built |
Create metadata from building the wheel (use when the prepare endpoints are not present or don't work).
:param metadata_directory: directory where to put the metadata
:param target: the type of wheel metadata to build
:param config_settings: config settings to pass in to the build endpoint
:return:
| def metadata_from_built(
self,
metadata_directory: Path,
target: Literal["wheel", "editable"],
config_settings: ConfigSettings | None = None,
) -> tuple[Path, str, str]:
"""
Create metadata from building the wheel (use when the prepare endpoints are not present or don't work).
:param metadata_directory: directory where to put the metadata
:param target: the type of wheel metadata to build
:param config_settings: config settings to pass in to the build endpoint
:return:
"""
hook = getattr(self, f"build_{target}")
with self._wheel_directory() as wheel_directory:
result: EditableResult | WheelResult = hook(wheel_directory, config_settings)
wheel = result.wheel
if not wheel.exists():
msg = f"missing wheel file return by backed {wheel!r}"
raise RuntimeError(msg)
out, err = result.out, result.err
extract_to = str(metadata_directory)
basename = None
with ZipFile(str(wheel), "r") as zip_file:
for name in zip_file.namelist(): # pragma: no branch
root = Path(name).parts[0]
if root.endswith(".dist-info"):
basename = root
zip_file.extract(name, extract_to)
if basename is None: # pragma: no branch
msg = f"no .dist-info found inside generated wheel {wheel}"
raise RuntimeError(msg)
return metadata_directory / basename, out, err
| (self, metadata_directory: pathlib.Path, target: Literal['wheel', 'editable'], config_settings: Optional[Dict[str, Any]] = None) -> tuple[pathlib.Path, str, str] | [
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22,735 | pyproject_api._frontend | prepare_metadata_for_build_editable |
Build editable wheel metadata (per PEP-660).
:param metadata_directory: where to generate the metadata
:param config_settings: build arguments
:return: metadata generation result
| def prepare_metadata_for_build_editable(
self,
metadata_directory: Path,
config_settings: ConfigSettings | None = None,
) -> MetadataForBuildEditableResult | None:
"""
Build editable wheel metadata (per PEP-660).
:param metadata_directory: where to generate the metadata
:param config_settings: build arguments
:return: metadata generation result
"""
self._check_metadata_dir(metadata_directory)
basename: str | None = None
if self.optional_hooks["prepare_metadata_for_build_editable"]:
basename, out, err = self._send(
cmd="prepare_metadata_for_build_editable",
metadata_directory=metadata_directory,
config_settings=config_settings,
)
if basename is None:
return None
if not isinstance(basename, str):
self._unexpected_response("prepare_metadata_for_build_wheel", basename, str, out, err)
result = metadata_directory / basename
return MetadataForBuildEditableResult(result, out, err)
| (self, metadata_directory: pathlib.Path, config_settings: Optional[Dict[str, Any]] = None) -> pyproject_api._frontend.MetadataForBuildEditableResult | None | [
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22,736 | pyproject_api._frontend | prepare_metadata_for_build_wheel |
Build wheel metadata (per PEP-517).
:param metadata_directory: where to generate the metadata
:param config_settings: build arguments
:return: metadata generation result
| def prepare_metadata_for_build_wheel(
self,
metadata_directory: Path,
config_settings: ConfigSettings | None = None,
) -> MetadataForBuildWheelResult | None:
"""
Build wheel metadata (per PEP-517).
:param metadata_directory: where to generate the metadata
:param config_settings: build arguments
:return: metadata generation result
"""
self._check_metadata_dir(metadata_directory)
basename: str | None = None
if self.optional_hooks["prepare_metadata_for_build_wheel"]:
basename, out, err = self._send(
cmd="prepare_metadata_for_build_wheel",
metadata_directory=metadata_directory,
config_settings=config_settings,
)
if basename is None:
return None
if not isinstance(basename, str):
self._unexpected_response("prepare_metadata_for_build_wheel", basename, str, out, err)
return MetadataForBuildWheelResult(metadata_directory / basename, out, err)
| (self, metadata_directory: pathlib.Path, config_settings: Optional[Dict[str, Any]] = None) -> pyproject_api._frontend.MetadataForBuildWheelResult | None | [
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22,737 | pyproject_api._frontend | MetadataForBuildEditableResult | Information collected while acquiring the editable metadata. | class MetadataForBuildEditableResult(NamedTuple):
"""Information collected while acquiring the editable metadata."""
#: path to the wheel metadata
metadata: Path
#: backend standard output while generating the editable wheel metadata
out: str
#: backend standard output while generating the editable wheel metadata
err: str
| (metadata: pathlib.Path, out: str, err: str) | [
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22,739 | namedtuple_MetadataForBuildEditableResult | __new__ | Create new instance of MetadataForBuildEditableResult(metadata, out, err) | from builtins import function
| (_cls, metadata: ForwardRef('Path'), out: ForwardRef('str'), err: ForwardRef('str')) | [
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] |
22,742 | collections | _replace | Return a new MetadataForBuildEditableResult 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
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22,743 | pyproject_api._frontend | MetadataForBuildWheelResult | Information collected while acquiring the wheel metadata. | class MetadataForBuildWheelResult(NamedTuple):
"""Information collected while acquiring the wheel metadata."""
#: path to the wheel metadata
metadata: Path
#: backend standard output while generating the wheel metadata
out: str
#: backend standard output while generating the wheel metadata
err: str
| (metadata: pathlib.Path, out: str, err: str) | [
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22,745 | namedtuple_MetadataForBuildWheelResult | __new__ | Create new instance of MetadataForBuildWheelResult(metadata, out, err) | from builtins import function
| (_cls, metadata: ForwardRef('Path'), out: ForwardRef('str'), err: ForwardRef('str')) | [
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] |
22,748 | collections | _replace | Return a new MetadataForBuildWheelResult 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
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22,749 | pyproject_api._frontend | OptionalHooks | A flag indicating if the backend supports the optional hook or not. | class OptionalHooks(TypedDict, total=True):
"""A flag indicating if the backend supports the optional hook or not."""
get_requires_for_build_sdist: bool
prepare_metadata_for_build_wheel: bool
get_requires_for_build_wheel: bool
build_editable: bool
get_requires_for_build_editable: bool
prepare_metadata_for_build_editable: bool
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22,750 | pyproject_api._frontend | RequiresBuildEditableResult | Information collected while acquiring the wheel build dependencies. | class RequiresBuildEditableResult(NamedTuple):
"""Information collected while acquiring the wheel build dependencies."""
#: editable wheel build dependencies
requires: tuple[Requirement, ...]
#: backend standard output while acquiring the editable wheel build dependencies
out: str
#: backend standard error while acquiring the editable wheel build dependencies
err: str
| (requires: tuple[packaging.requirements.Requirement, ...], out: str, err: str) | [
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22,752 | namedtuple_RequiresBuildEditableResult | __new__ | Create new instance of RequiresBuildEditableResult(requires, out, err) | from builtins import function
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] |
22,755 | collections | _replace | Return a new RequiresBuildEditableResult 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
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22,756 | pyproject_api._frontend | RequiresBuildSdistResult | Information collected while acquiring the source distribution build dependencies. | class RequiresBuildSdistResult(NamedTuple):
"""Information collected while acquiring the source distribution build dependencies."""
#: wheel build dependencies
requires: tuple[Requirement, ...]
#: backend standard output while acquiring the source distribution build dependencies
out: str
#: backend standard output while acquiring the source distribution build dependencies
err: str
| (requires: tuple[packaging.requirements.Requirement, ...], out: str, err: str) | [
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22,758 | namedtuple_RequiresBuildSdistResult | __new__ | Create new instance of RequiresBuildSdistResult(requires, out, err) | from builtins import function
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] |
22,761 | collections | _replace | Return a new RequiresBuildSdistResult 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
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22,762 | pyproject_api._frontend | RequiresBuildWheelResult | Information collected while acquiring the wheel build dependencies. | class RequiresBuildWheelResult(NamedTuple):
"""Information collected while acquiring the wheel build dependencies."""
#: wheel build dependencies
requires: tuple[Requirement, ...]
#: backend standard output while acquiring the wheel build dependencies
out: str
#: backend standard error while acquiring the wheel build dependencies
err: str
| (requires: tuple[packaging.requirements.Requirement, ...], out: str, err: str) | [
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22,764 | namedtuple_RequiresBuildWheelResult | __new__ | Create new instance of RequiresBuildWheelResult(requires, out, err) | from builtins import function
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] |
22,767 | collections | _replace | Return a new RequiresBuildWheelResult 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
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22,768 | pyproject_api._frontend | SdistResult | Information collected while building a source distribution. | class SdistResult(NamedTuple):
"""Information collected while building a source distribution."""
#: path to the built source distribution
sdist: Path
#: backend standard output while building the source distribution
out: str
#: backend standard output while building the source distribution
err: str
| (sdist: pathlib.Path, out: str, err: str) | [
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22,770 | namedtuple_SdistResult | __new__ | Create new instance of SdistResult(sdist, out, err) | from builtins import function
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] |
22,773 | collections | _replace | Return a new SdistResult 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
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22,774 | pyproject_api._via_fresh_subprocess | SubprocessFrontend | A frontend that creates fresh subprocess at every call to communicate with the backend. | class SubprocessFrontend(Frontend):
"""A frontend that creates fresh subprocess at every call to communicate with the backend."""
def __init__( # noqa: PLR0913
self,
root: Path,
backend_paths: tuple[Path, ...],
backend_module: str,
backend_obj: str | None,
requires: tuple[Requirement, ...],
) -> None:
"""
Create a subprocess frontend.
:param root: the root path to the built project
:param backend_paths: paths that are available on the python path for the backend
:param backend_module: module where the backend is located
:param backend_obj: object within the backend module identifying the backend
:param requires: seed requirements for the backend
"""
super().__init__(root, backend_paths, backend_module, backend_obj, requires, reuse_backend=False)
self.executable = sys.executable
@contextmanager
def _send_msg(self, cmd: str, result_file: Path, msg: str) -> Iterator[SubprocessCmdStatus]: # noqa: ARG002
env = os.environ.copy()
backend = os.pathsep.join(str(i) for i in self._backend_paths).strip()
if backend:
env["PYTHONPATH"] = backend
process = Popen(
args=[self.executable, *self.backend_args],
stdout=PIPE,
stderr=PIPE,
stdin=PIPE,
universal_newlines=True,
cwd=self._root,
env=env,
)
cast(IO[str], process.stdin).write(f"{os.linesep}{msg}{os.linesep}")
yield SubprocessCmdStatus(process)
def send_cmd(self, cmd: str, **kwargs: Any) -> tuple[Any, str, str]:
"""
Send a command to the backend.
:param cmd: the command to send
:param kwargs: keyword arguments to the backend
:return: a tuple of: backend response, standard output text, standard error text
"""
return self._send(cmd, **kwargs)
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22,775 | pyproject_api._via_fresh_subprocess | __init__ |
Create a subprocess frontend.
:param root: the root path to the built project
:param backend_paths: paths that are available on the python path for the backend
:param backend_module: module where the backend is located
:param backend_obj: object within the backend module identifying the backend
:param requires: seed requirements for the backend
| def __init__( # noqa: PLR0913
self,
root: Path,
backend_paths: tuple[Path, ...],
backend_module: str,
backend_obj: str | None,
requires: tuple[Requirement, ...],
) -> None:
"""
Create a subprocess frontend.
:param root: the root path to the built project
:param backend_paths: paths that are available on the python path for the backend
:param backend_module: module where the backend is located
:param backend_obj: object within the backend module identifying the backend
:param requires: seed requirements for the backend
"""
super().__init__(root, backend_paths, backend_module, backend_obj, requires, reuse_backend=False)
self.executable = sys.executable
| (self, root: 'Path', backend_paths: 'tuple[Path, ...]', backend_module: 'str', backend_obj: 'str | None', requires: 'tuple[Requirement, ...]') -> 'None' | [
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22,790 | pyproject_api._via_fresh_subprocess | send_cmd |
Send a command to the backend.
:param cmd: the command to send
:param kwargs: keyword arguments to the backend
:return: a tuple of: backend response, standard output text, standard error text
| def send_cmd(self, cmd: str, **kwargs: Any) -> tuple[Any, str, str]:
"""
Send a command to the backend.
:param cmd: the command to send
:param kwargs: keyword arguments to the backend
:return: a tuple of: backend response, standard output text, standard error text
"""
return self._send(cmd, **kwargs)
| (self, cmd: str, **kwargs: Any) -> tuple[typing.Any, str, str] | [
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22,791 | pyproject_api._frontend | WheelResult | Information collected while building a wheel. | class WheelResult(NamedTuple):
"""Information collected while building a wheel."""
#: path to the built wheel artifact
wheel: Path
#: backend standard output while building the wheel
out: str
#: backend standard error while building the wheel
err: str
| (wheel: pathlib.Path, out: str, err: str) | [
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22,793 | namedtuple_WheelResult | __new__ | Create new instance of WheelResult(wheel, out, err) | from builtins import function
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] |
22,796 | collections | _replace | Return a new WheelResult 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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] |
22,801 | streamlit_embedcode | _clean_link | Strip trailing slash if present on link.
Parameters
----------
link : str
URL from code sharing website
Returns
-------
str
Returns value of `link` without trailing slash.
Example
-------
>>> _clean_link("https://gist.github.com/randyzwitch/be8c5e9fb5b8e7b046afebcac12e5087/")
'https://gist.github.com/randyzwitch/be8c5e9fb5b8e7b046afebcac12e5087'
>>> _clean_link("https://gist.github.com/randyzwitch/be8c5e9fb5b8e7b046afebcac12e5087")
'https://gist.github.com/randyzwitch/be8c5e9fb5b8e7b046afebcac12e5087'
| def _clean_link(link):
"""Strip trailing slash if present on link.
Parameters
----------
link : str
URL from code sharing website
Returns
-------
str
Returns value of `link` without trailing slash.
Example
-------
>>> _clean_link("https://gist.github.com/randyzwitch/be8c5e9fb5b8e7b046afebcac12e5087/")
'https://gist.github.com/randyzwitch/be8c5e9fb5b8e7b046afebcac12e5087'
>>> _clean_link("https://gist.github.com/randyzwitch/be8c5e9fb5b8e7b046afebcac12e5087")
'https://gist.github.com/randyzwitch/be8c5e9fb5b8e7b046afebcac12e5087'
"""
return link[:-1] if link[-1] == "/" else link
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22,802 | streamlit_embedcode | codepen_snippet | Embed a CodePen snippet.
Parameters
----------
link : str
URL from https://codepen.io/
height: int
Height of the resulting iframe
width: int
Width of the resulting iframe
scrolling: bool
If content is larger than iframe size, provide scrollbars?
theme: str
Color theme of snippet (i.e. "light", "dark")
preview: bool
Require snippet to be clicked to load. Setting `preview=True` can improve load times.
Example
-------
>>> codepen_snippet("https://codepen.io/ste-vg/pen/GRooLza", width = 600, scrolling = False)
| def codepen_snippet(
link, height=600, width=950, scrolling=True, theme="light", preview=True
):
"""Embed a CodePen snippet.
Parameters
----------
link : str
URL from https://codepen.io/
height: int
Height of the resulting iframe
width: int
Width of the resulting iframe
scrolling: bool
If content is larger than iframe size, provide scrollbars?
theme: str
Color theme of snippet (i.e. "light", "dark")
preview: bool
Require snippet to be clicked to load. Setting `preview=True` can improve load times.
Example
-------
>>> codepen_snippet("https://codepen.io/ste-vg/pen/GRooLza", width = 600, scrolling = False)
"""
user, _, slughash = _clean_link(link).split("/")[-3:]
return components.html(
f"""
<p class="codepen"
data-height="{height}"
data-theme-id="{theme}"
data-default-tab="html,result"
data-user="{user}"
data-slug-hash="{slughash}"
data-preview="{str(preview).lower()}"
style="height: {height}px; box-sizing: border-box; display: flex; align-items: center; justify-content: center; border: 2px solid; margin: 1em 0; padding: 1em;"">
</p><script async src="https://static.codepen.io/assets/embed/ei.js"></script>
""",
height=height,
width=width,
scrolling=scrolling,
)
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22,804 | streamlit_embedcode | github_gist | Embed a GitHub gist.
Parameters
----------
link : str
URL from https://gist.github.com/
height: int
Height of the resulting iframe
width: int
Width of the resulting iframe
scrolling: bool
If content is larger than iframe size, provide scrollbars?
Example
-------
>>> github_gist("https://gist.github.com/randyzwitch/934d502e53f2adcb48eea2423fe4a47e")
| def github_gist(link, height=600, width=950, scrolling=True):
"""Embed a GitHub gist.
Parameters
----------
link : str
URL from https://gist.github.com/
height: int
Height of the resulting iframe
width: int
Width of the resulting iframe
scrolling: bool
If content is larger than iframe size, provide scrollbars?
Example
-------
>>> github_gist("https://gist.github.com/randyzwitch/934d502e53f2adcb48eea2423fe4a47e")
"""
gistcreator, gistid = _clean_link(link).split("/")[-2:]
return components.html(
f"""<script src="https://gist.github.com/{gistcreator}/{gistid}.js"></script>""",
height=height,
width=width,
scrolling=scrolling,
)
| (link, height=600, width=950, scrolling=True) | [
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22,805 | streamlit_embedcode | gitlab_snippet | Embed a Gitlab snippet.
Parameters
----------
link : str
URL from https://gitlab.com/explore/snippets
height: int
Height of the resulting iframe
width: int
Width of the resulting iframe
scrolling: bool
If content is larger than iframe size, provide scrollbars?
Example
-------
>>> gitlab_snippet("https://gitlab.com/snippets/1995463", height = 400)
| def gitlab_snippet(link, height=600, width=950, scrolling=True):
"""Embed a Gitlab snippet.
Parameters
----------
link : str
URL from https://gitlab.com/explore/snippets
height: int
Height of the resulting iframe
width: int
Width of the resulting iframe
scrolling: bool
If content is larger than iframe size, provide scrollbars?
Example
-------
>>> gitlab_snippet("https://gitlab.com/snippets/1995463", height = 400)
"""
snippetnumber = _clean_link(link).split("/")[-1]
return components.html(
f"""<script src='https://gitlab.com/snippets/{snippetnumber}.js'></script>""",
height=height,
width=width,
scrolling=scrolling,
)
| (link, height=600, width=950, scrolling=True) | [
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22,806 | streamlit_embedcode | ideone_snippet | Embed a Ideone snippet.
Parameters
----------
link : str
URL from https://ideone.com/
height: int
Height of the resulting iframe
width: int
Width of the resulting iframe
scrolling: bool
If content is larger than iframe size, provide scrollbars?
Example
-------
>>> ideone_snippet("https://ideone.com/vQ54cr")
| def ideone_snippet(link, height=600, width=950, scrolling=True):
"""Embed a Ideone snippet.
Parameters
----------
link : str
URL from https://ideone.com/
height: int
Height of the resulting iframe
width: int
Width of the resulting iframe
scrolling: bool
If content is larger than iframe size, provide scrollbars?
Example
-------
>>> ideone_snippet("https://ideone.com/vQ54cr")
"""
snippetnumber = _clean_link(link).split("/")[-1]
return components.html(
f"""<script src="https://ideone.com/e.js/{snippetnumber}" type="text/javascript" ></script>""",
height=height,
width=width,
scrolling=scrolling,
)
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22,807 | streamlit_embedcode | pastebin_snippet | Embed a Pastebin snippet.
Parameters
----------
link : str
URL from https://pastebin.com/
height: int
Height of the resulting iframe
width: int
Width of the resulting iframe
scrolling: bool
If content is larger than iframe size, provide scrollbars?
Example
-------
>>> pastebin_snippet("https://pastebin.com/AWYbziQF", width = 600, scrolling = False)
| def pastebin_snippet(link, height=600, width=950, scrolling=True):
"""Embed a Pastebin snippet.
Parameters
----------
link : str
URL from https://pastebin.com/
height: int
Height of the resulting iframe
width: int
Width of the resulting iframe
scrolling: bool
If content is larger than iframe size, provide scrollbars?
Example
-------
>>> pastebin_snippet("https://pastebin.com/AWYbziQF", width = 600, scrolling = False)
"""
snippetnumber = _clean_link(link).split("/")[-1]
return components.html(
f"""<script src="https://pastebin.com/embed_js/{snippetnumber}"></script>""",
height=height,
width=width,
scrolling=scrolling,
)
| (link, height=600, width=950, scrolling=True) | [
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22,809 | streamlit_embedcode | tagmycode_snippet | Embed a TagMyCode snippet.
Parameters
----------
link : str
URL from https://tagmycode.com/
height: int
Height of the resulting iframe
width: int
Width of the resulting iframe
scrolling: bool
If content is larger than iframe size, provide scrollbars?
Example
-------
>>> tagmycode_snippet("https://tagmycode.com/snippet/5965/recursive-list-files-in-a-dir#.Xwyc43VKglU")
| def tagmycode_snippet(link, height=600, width=950, scrolling=True):
"""Embed a TagMyCode snippet.
Parameters
----------
link : str
URL from https://tagmycode.com/
height: int
Height of the resulting iframe
width: int
Width of the resulting iframe
scrolling: bool
If content is larger than iframe size, provide scrollbars?
Example
-------
>>> tagmycode_snippet("https://tagmycode.com/snippet/5965/recursive-list-files-in-a-dir#.Xwyc43VKglU")
"""
snippetnumber = _clean_link(link).split("/")[-2]
return components.html(
f"""<script src="https://tagmycode.com/embed/js/{snippetnumber}"></script>""",
height=height,
width=width,
scrolling=scrolling,
)
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22,811 | pyfetch_mimic | FetchResponse | FetchResponse(headers: dict, url: str, ok: bool, redirected: bool, status: int, status_text: str, body_used: bool, do_not_use_body: bytes) | class FetchResponse:
headers: dict
url: str
ok: bool
redirected: bool
status: int
# type: str
status_text: str
body_used: bool
do_not_use_body: bytes
# unit-tested
async def string(self) -> str:
return await self._text()
async def text(self) -> str:
return await self._text()
# unit-tested
async def _text(self) -> str:
return self.do_not_use_body.decode()
async def buffer(self):
logging.warning("`httpx_http.FetchResponse.buffer()` is not yet implemented for non-pyodide version")
return self
# unit-tested
async def bytes(self) -> bytes:
return bytes(self.do_not_use_body)
# unit-tested
async def json(self) -> dict:
return json.loads(self.do_not_use_body)
async def memoryview(self):
logging.warning("`httpx_http.FetchResponse.memoryview()` is not yet implemented for non-pyodide version")
return self
async def unpack_archive(self, extract_dir: str, format: Literal["zip", "tar", "gztar", "bztar", "xztar"]):
# treat data as an archive and unpack into target directory
with BytesIO(self.bytes()) as file_buffer:
shutil.unpack_archive(file_buffer, extract_dir=extract_dir, format=format)
# shutil.unpack_archive(self.do_not_use_body, extract_dir=extract_dir, format=format)
def raise_for_status(self):
if self.status >= 400:
raise OSError(
f"Request failed due to local issue. Status code: {self.status}. Status text: {self.status_text}"
)
def clone(self) -> "FetchResponse":
# return copy.copy(self, deepcopy=True)
return copy.deepcopy(self)
| (headers: dict, url: str, ok: bool, redirected: bool, status: int, status_text: str, body_used: bool, do_not_use_body: bytes) -> None | [
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22,812 | pyfetch_mimic | __eq__ | null | import copy
import json
import logging
import shutil
import sys
from dataclasses import dataclass
from io import BytesIO
from typing import Literal
if "pyodide" not in sys.modules:
import httpx
@dataclass
class FetchResponse:
headers: dict
url: str
ok: bool
redirected: bool
status: int
# type: str
status_text: str
body_used: bool
do_not_use_body: bytes
# unit-tested
async def string(self) -> str:
return await self._text()
async def text(self) -> str:
return await self._text()
# unit-tested
async def _text(self) -> str:
return self.do_not_use_body.decode()
async def buffer(self):
logging.warning("`httpx_http.FetchResponse.buffer()` is not yet implemented for non-pyodide version")
return self
# unit-tested
async def bytes(self) -> bytes:
return bytes(self.do_not_use_body)
# unit-tested
async def json(self) -> dict:
return json.loads(self.do_not_use_body)
async def memoryview(self):
logging.warning("`httpx_http.FetchResponse.memoryview()` is not yet implemented for non-pyodide version")
return self
async def unpack_archive(self, extract_dir: str, format: Literal["zip", "tar", "gztar", "bztar", "xztar"]):
# treat data as an archive and unpack into target directory
with BytesIO(self.bytes()) as file_buffer:
shutil.unpack_archive(file_buffer, extract_dir=extract_dir, format=format)
# shutil.unpack_archive(self.do_not_use_body, extract_dir=extract_dir, format=format)
def raise_for_status(self):
if self.status >= 400:
raise OSError(
f"Request failed due to local issue. Status code: {self.status}. Status text: {self.status_text}"
)
def clone(self) -> "FetchResponse":
# return copy.copy(self, deepcopy=True)
return copy.deepcopy(self)
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22,815 | pyfetch_mimic | _text | null | @dataclass
class FetchResponse:
headers: dict
url: str
ok: bool
redirected: bool
status: int
# type: str
status_text: str
body_used: bool
do_not_use_body: bytes
# unit-tested
async def string(self) -> str:
return await self._text()
async def text(self) -> str:
return await self._text()
# unit-tested
async def _text(self) -> str:
return self.do_not_use_body.decode()
async def buffer(self):
logging.warning("`httpx_http.FetchResponse.buffer()` is not yet implemented for non-pyodide version")
return self
# unit-tested
async def bytes(self) -> bytes:
return bytes(self.do_not_use_body)
# unit-tested
async def json(self) -> dict:
return json.loads(self.do_not_use_body)
async def memoryview(self):
logging.warning("`httpx_http.FetchResponse.memoryview()` is not yet implemented for non-pyodide version")
return self
async def unpack_archive(self, extract_dir: str, format: Literal["zip", "tar", "gztar", "bztar", "xztar"]):
# treat data as an archive and unpack into target directory
with BytesIO(self.bytes()) as file_buffer:
shutil.unpack_archive(file_buffer, extract_dir=extract_dir, format=format)
# shutil.unpack_archive(self.do_not_use_body, extract_dir=extract_dir, format=format)
def raise_for_status(self):
if self.status >= 400:
raise OSError(
f"Request failed due to local issue. Status code: {self.status}. Status text: {self.status_text}"
)
def clone(self) -> "FetchResponse":
# return copy.copy(self, deepcopy=True)
return copy.deepcopy(self)
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22,818 | pyfetch_mimic | clone | null | def clone(self) -> "FetchResponse":
# return copy.copy(self, deepcopy=True)
return copy.deepcopy(self)
| (self) -> pyfetch_mimic.FetchResponse | [
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22,821 | pyfetch_mimic | raise_for_status | null | def raise_for_status(self):
if self.status >= 400:
raise OSError(
f"Request failed due to local issue. Status code: {self.status}. Status text: {self.status_text}"
)
| (self) | [
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] |
22,827 | pyfetch_mimic | http | null | class http:
@staticmethod
async def pyfetch(
url: str,
headers: dict,
method: Literal["GET", "POST", "PUT", "DELETE", "PATCH"] = "GET",
credentials: Literal["omit", "same-origin", "include"] = None,
body: str = None, # i.e., in the case of a dictionary, pass to "body" using: `json.dumps({...})`
redirect: bool = True,
) -> FetchResponse:
if credentials:
logging.warning(
"`credentials` parameter doesn't do anything when running outside of browser. "
"Separate testing required."
)
request_arguments = {
"method": method,
"url": url,
"headers": headers,
"follow_redirects": redirect,
"content": body,
}
async with httpx.AsyncClient() as client:
r = await client.request(**request_arguments)
ok = True if 100 <= r.status_code < 400 else False
redirected = True if 300 <= r.status_code < 400 else False
return FetchResponse(
headers=r.headers,
url=str(r.url),
redirected=redirected,
status=r.status_code,
status_text=str(r.status_code),
do_not_use_body=r.content,
ok=ok,
body_used=False,
# type=None
)
| () | [
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22,828 | pyfetch_mimic | pyfetch | null | @staticmethod
async def pyfetch(
url: str,
headers: dict,
method: Literal["GET", "POST", "PUT", "DELETE", "PATCH"] = "GET",
credentials: Literal["omit", "same-origin", "include"] = None,
body: str = None, # i.e., in the case of a dictionary, pass to "body" using: `json.dumps({...})`
redirect: bool = True,
) -> FetchResponse:
if credentials:
logging.warning(
"`credentials` parameter doesn't do anything when running outside of browser. "
"Separate testing required."
)
request_arguments = {
"method": method,
"url": url,
"headers": headers,
"follow_redirects": redirect,
"content": body,
}
async with httpx.AsyncClient() as client:
r = await client.request(**request_arguments)
ok = True if 100 <= r.status_code < 400 else False
redirected = True if 300 <= r.status_code < 400 else False
return FetchResponse(
headers=r.headers,
url=str(r.url),
redirected=redirected,
status=r.status_code,
status_text=str(r.status_code),
do_not_use_body=r.content,
ok=ok,
body_used=False,
# type=None
)
| (url: str, headers: dict, method: Literal['GET', 'POST', 'PUT', 'DELETE', 'PATCH'] = 'GET', credentials: Optional[Literal['omit', 'same-origin', 'include']] = None, body: Optional[str] = None, redirect: bool = True) -> pyfetch_mimic.FetchResponse | [
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22,836 | stubalyzer.compare | ComparisonResult |
Result of comparing two symbol nodes and their types.
| class ComparisonResult(NamedTuple):
"""
Result of comparing two symbol nodes and their types.
"""
match_result: MatchResult
"""Type of comparison result"""
symbol: RelevantSymbolNode
"""Symbol that was checked"""
reference: Optional[SymbolNode]
"""Reference symbol that was checked against"""
symbol_name: str
"""Full name of the symbol that was checked"""
symbol_type: str
"""Type of the symbol that was checked"""
reference_name: Optional[str]
"""Full name of the reference symbol"""
reference_type: Optional[str]
"""Type of the reference symbol"""
data: Optional[Dict[str, Any]] = None
"""Optional additional data"""
message_val: Optional[str] = None
"""Optional message"""
@property
def message(self) -> str:
"""Human readable result of the comparison"""
if self.message_val:
return self.message_val
if self.match_result is MatchResult.MATCH:
return "\n".join(
[
f"Types for {self.symbol_name} match:",
f" {self.symbol_type}",
f" {self.reference_type}",
]
)
elif self.match_result is MatchResult.MISMATCH:
return "\n".join(
[
f"Types for {self.symbol_name} do not match:",
f" Handwritten type: {self.symbol_type}",
f" Reference type : {self.reference_type}",
]
)
elif self.match_result is MatchResult.NOT_FOUND:
return f'Symbol "{self.symbol_name}" not found in generated stubs'
elif self.match_result is MatchResult.MISLOCATED_SYMBOL:
return (
f'Found symbol "{self.symbol_name}" in different location'
f' "{self.reference_name}".'
)
@classmethod
def create(
cls,
match_result: MatchResult,
symbol: RelevantSymbolNode,
reference: Optional[SymbolNode],
data: Optional[Dict[str, Any]] = None,
message: Optional[str] = None,
) -> ComparisonResult:
"""
Create a comparison result.
:param match_result: if the match was successful
:param symbol: symbol that was checked
:param reference: reference symbol that was checked against
:param data: optional additional data
:param message: optional message
"""
return cls(
match_result=match_result,
symbol=symbol,
reference=reference,
data=data,
message_val=message,
symbol_name=symbol.fullname,
symbol_type=_get_symbol_type_info(symbol),
reference_name=reference.fullname if reference else None,
reference_type=_get_symbol_type_info(reference) if reference else None,
)
@classmethod
def create_not_found(
cls, symbol: RelevantSymbolNode, data: Optional[Dict[str, Any]] = None
) -> ComparisonResult:
"""
Create an unsuccessful comparison result
where there was no reference symbol found.
:param symbol: symbol we wanted to check
:param data: optional additional data
"""
return cls.create(
match_result=MatchResult.NOT_FOUND, symbol=symbol, reference=None, data=data
)
@classmethod
def create_mislocated_symbol(
cls,
symbol: RelevantSymbolNode,
reference: SymbolNode,
data: Optional[Dict[str, Any]] = None,
) -> ComparisonResult:
"""
Create an unsuccessful comparison result where the reference symbol was found
in a different level of the class hierarchy.
:param symbol: symbol we wanted to check
:param reference: symbol that was found somewhere else in the hierarchy
:param data: optional additional data
"""
return cls.create(
match_result=MatchResult.MISLOCATED_SYMBOL,
symbol=symbol,
reference=reference,
data=data,
)
@classmethod
def create_mismatch(
cls,
symbol: RelevantSymbolNode,
reference: RelevantSymbolNode,
data: Optional[Dict[str, Any]] = None,
message: Optional[str] = None,
) -> ComparisonResult:
"""
Create an unsuccessful comparison result.
:param symbol: symbol that was checked
:param reference: reference symbol that was checked against
:param data: optional additional data
:param message: optional message
"""
return cls.create(
match_result=MatchResult.MISMATCH,
symbol=symbol,
reference=reference,
data=data,
message=message,
)
@classmethod
def create_match(
cls,
symbol: RelevantSymbolNode,
reference: RelevantSymbolNode,
data: Optional[Dict[str, Any]] = None,
message: Optional[str] = None,
) -> ComparisonResult:
"""
Create a successful comparison result.
:param symbol: symbol that was checked
:param reference: reference symbol that was checked against
:param data: optional additional data
:param message: optional message
"""
return cls.create(
match_result=MatchResult.MATCH,
symbol=symbol,
reference=reference,
data=data,
message=message,
)
| (match_result: stubalyzer.compare.MatchResult, symbol: Union[mypy.nodes.Decorator, mypy.nodes.FuncDef, mypy.nodes.OverloadedFuncDef, mypy.nodes.Var, mypy.nodes.TypeInfo, mypy.nodes.TypeVarExpr, mypy.nodes.TypeAlias], reference: Optional[mypy.nodes.SymbolNode], symbol_name: str, symbol_type: str, reference_name: Optional[str], reference_type: Optional[str], data: Optional[Dict[str, Any]] = None, message_val: Optional[str] = None) | [
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22,838 | namedtuple_ComparisonResult | __new__ | Create new instance of ComparisonResult(match_result, symbol, reference, symbol_name, symbol_type, reference_name, reference_type, data, message_val) | from builtins import function
| (_cls, match_result: ForwardRef('MatchResult'), symbol: ForwardRef('RelevantSymbolNode'), reference: ForwardRef('Optional[SymbolNode]'), symbol_name: ForwardRef('str'), symbol_type: ForwardRef('str'), reference_name: ForwardRef('Optional[str]'), reference_type: ForwardRef('Optional[str]'), data: ForwardRef('Optional[Dict[str, Any]]') = None, message_val: ForwardRef('Optional[str]') = None) | [
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] |
22,841 | collections | _replace | Return a new ComparisonResult 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
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] |
22,842 | stubalyzer.compare | MatchResult | An enumeration. | class MatchResult(Enum):
MATCH = "match"
MISMATCH = "mismatch"
NOT_FOUND = "not_found"
MISLOCATED_SYMBOL = "mislocated_symbol"
@classmethod
def declare_mismatch(cls, matchResultString: str) -> MatchResult:
err = matchResultString == MatchResult.MATCH.value
try:
result = MatchResult(matchResultString)
except ValueError:
err = True
if err:
possible_values = ", ".join(
[f'"{m.value}"' for m in MatchResult if m is not MatchResult.MATCH]
)
raise ValueError(
f'"{matchResultString}" is not a valid mismatch type.'
f" (Use one of {possible_values}"
)
return result
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22,845 | stubalyzer.compare | compare_symbols |
Check if the given symbol node is compatible with the reference symbol.
Will return a successful comparison if any of the following holds:
- the symbols describe the same class
- the symbols are type aliases that resolve to the same type
- ``symbol`` is a valid subtype of ``reference``
(see :py:func:`mypy.subtypes.is_subtype`)
- ``symbol`` and ``reference`` somehow overlap
(see :py:func:`mypy.meet.is_overlapping_types`)
:param symbol: symbol node to validate
:param reference: symbol node to validate against
| def compare_symbols(
symbol: RelevantSymbolNode, reference: RelevantSymbolNode
) -> ComparisonResult:
"""
Check if the given symbol node is compatible with the reference symbol.
Will return a successful comparison if any of the following holds:
- the symbols describe the same class
- the symbols are type aliases that resolve to the same type
- ``symbol`` is a valid subtype of ``reference``
(see :py:func:`mypy.subtypes.is_subtype`)
- ``symbol`` and ``reference`` somehow overlap
(see :py:func:`mypy.meet.is_overlapping_types`)
:param symbol: symbol node to validate
:param reference: symbol node to validate against
"""
# TODO: Check if this is always the case, i.e. could there be
# cases where `symbol` and `reference` don't have the same class but still match?
if type(symbol) != type(reference):
return ComparisonResult.create_mismatch(symbol=symbol, reference=reference)
if isinstance(symbol, TypeInfo) and isinstance(reference, TypeInfo):
return _type_infos_are_same_class(symbol, reference)
if isinstance(symbol, TypeAlias) and isinstance(reference, TypeAlias):
return _compare_type_aliases(symbol, reference)
if isinstance(symbol, TypeVarExpr) and isinstance(reference, TypeVarExpr):
return _compare_type_var_expr(symbol, reference)
if isinstance(symbol, Decorator) and isinstance(reference, Decorator):
return _compare_decorator(symbol, reference)
return compare_mypy_types(
symbol, reference, getattr(symbol, "type"), getattr(reference, "type")
)
| (symbol: Union[mypy.nodes.Decorator, mypy.nodes.FuncDef, mypy.nodes.OverloadedFuncDef, mypy.nodes.Var, mypy.nodes.TypeInfo, mypy.nodes.TypeVarExpr, mypy.nodes.TypeAlias], reference: Union[mypy.nodes.Decorator, mypy.nodes.FuncDef, mypy.nodes.OverloadedFuncDef, mypy.nodes.Var, mypy.nodes.TypeInfo, mypy.nodes.TypeVarExpr, mypy.nodes.TypeAlias]) -> stubalyzer.compare.ComparisonResult | [
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22,846 | stubalyzer.collect | get_stub_types |
Analyze the stub files in stubs_path and return module
and class definitions of stubs as symbol nodes.
Only relevant symbol nodes (e.g. for variables, functions, classes, methods)
are returned.
They contain the type annotation information.
:param stubs_path: where all the stub files are located
:param mypy_conf_path: path to mypy.ini
:param root_path: path to the code directory where the type analysis is started
| def get_stub_types(
stubs_path: str, mypy_conf_path: str, root_path: Optional[str] = None
) -> Iterable[Tuple[RelevantSymbolNode, str]]:
"""
Analyze the stub files in stubs_path and return module
and class definitions of stubs as symbol nodes.
Only relevant symbol nodes (e.g. for variables, functions, classes, methods)
are returned.
They contain the type annotation information.
:param stubs_path: where all the stub files are located
:param mypy_conf_path: path to mypy.ini
:param root_path: path to the code directory where the type analysis is started
"""
stubs_path = abspath(stubs_path)
if root_path:
build_result = _mypy_analyze(mypy_conf_path, root_path, stubs_path)
else:
build_result = _mypy_analyze(mypy_conf_path, stubs_path)
stubbed_modules = {
module
for module in build_result.graph.values()
if module.path
and is_stubbed_module(module)
and module.path.startswith(stubs_path)
}
for module in stubbed_modules:
if module.tree:
assert module.path
yield from (
(stub_type, module.path) for stub_type in collect_types(module.tree)
)
| (stubs_path: str, mypy_conf_path: str, root_path: Optional[str] = None) -> Iterable[Tuple[Union[mypy.nodes.Decorator, mypy.nodes.FuncDef, mypy.nodes.OverloadedFuncDef, mypy.nodes.Var, mypy.nodes.TypeInfo, mypy.nodes.TypeVarExpr, mypy.nodes.TypeAlias], str]] | [
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22,848 | stubalyzer.lookup | lookup_symbol |
Find the given symbol in the symbol map.
Ideally the symbol is just found under the exact same ``fullname``.
If not and the symbol is a method, this will take the symbol's class and look it up
in the map and then try to resolve the symbol on that class using its method
resolution order.
If the result of the lookup has a different ``fullname`` than the original symbol
the given symbol is defined at a different point in the class hierarchy than
expected.
:param symbol_map: Dictionary for looking up symbols by their full name
:param symbol_to_lookup: Symbol to search for
:return: The found symbol (if any) and the class it was found on (if any)
| def lookup_symbol(
symbol_map: Dict[str, RelevantSymbolNode], symbol_to_lookup: SymbolNode
) -> LookupResult:
"""
Find the given symbol in the symbol map.
Ideally the symbol is just found under the exact same ``fullname``.
If not and the symbol is a method, this will take the symbol's class and look it up
in the map and then try to resolve the symbol on that class using its method
resolution order.
If the result of the lookup has a different ``fullname`` than the original symbol
the given symbol is defined at a different point in the class hierarchy than
expected.
:param symbol_map: Dictionary for looking up symbols by their full name
:param symbol_to_lookup: Symbol to search for
:return: The found symbol (if any) and the class it was found on (if any)
"""
fail = LookupResult(None, None)
symbol = symbol_map.get(symbol_to_lookup.fullname)
if symbol:
return LookupResult(symbol, get_symbol_class(symbol))
# Check if we have a class on the symbol we're looking up
cls_to_lookup = getattr(symbol_to_lookup, "info", None)
if not cls_to_lookup or cls_to_lookup == FUNC_NO_INFO:
return fail
symbol_cls = symbol_map.get(cls_to_lookup.fullname)
if not symbol_cls or not isinstance(symbol_cls, TypeInfo):
return fail
found_symbol_table_node = symbol_cls.get(symbol_to_lookup.name)
if not found_symbol_table_node or not found_symbol_table_node.node:
return fail
return LookupResult(
found_symbol_table_node.node, get_symbol_class(found_symbol_table_node.node)
)
| (symbol_map: Dict[str, Union[mypy.nodes.Decorator, mypy.nodes.FuncDef, mypy.nodes.OverloadedFuncDef, mypy.nodes.Var, mypy.nodes.TypeInfo, mypy.nodes.TypeVarExpr, mypy.nodes.TypeAlias]], symbol_to_lookup: mypy.nodes.SymbolNode) -> stubalyzer.lookup.LookupResult | [
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22,851 | xqute.defaults | JobStatus | The status of a job
Life cycles:
........................queued in scheduler
INIT -> QUEUED -> SUBMITTED -> RUNNING -> FINISHED (FAILED)
INIT -> QUEUED -> SUBMITTED -> RUNNING -> KILLING -> FINISHED
INIT -> QUEUED -> SUBMITTED -> KILLING -> FINISHED
INIT -> QUEUED -> (CANELED)
Attributes:
INIT: When a job is initialized
RETRYING: When a job is to be retried
QUEUED: When a job is queued
SUBMITTED: When a job is sumitted
RUNNING: When a job is running
KILLING: When a job is being killed
FINISHED: When a job is finished
FAILED: When a job is failed
| class JobStatus:
"""The status of a job
Life cycles:
........................queued in scheduler
INIT -> QUEUED -> SUBMITTED -> RUNNING -> FINISHED (FAILED)
INIT -> QUEUED -> SUBMITTED -> RUNNING -> KILLING -> FINISHED
INIT -> QUEUED -> SUBMITTED -> KILLING -> FINISHED
INIT -> QUEUED -> (CANELED)
Attributes:
INIT: When a job is initialized
RETRYING: When a job is to be retried
QUEUED: When a job is queued
SUBMITTED: When a job is sumitted
RUNNING: When a job is running
KILLING: When a job is being killed
FINISHED: When a job is finished
FAILED: When a job is failed
"""
INIT: int = 0
RETRYING: int = 1
QUEUED: int = 2
SUBMITTED: int = 3
RUNNING: int = 4
KILLING: int = 5
FINISHED: int = 6
FAILED: int = 7
@classmethod
def get_name(cls, *statuses: int) -> Tuple[str, ...] | str:
"""Get the name of the status
Args:
*statuses: The status values
Returns:
The name of the status if a single status is passed, otherwise
a tuple of names
"""
ret_dict = {}
for name, value in cls.__dict__.items():
if value in statuses:
ret_dict[value] = name
ret_tuple = tuple(ret_dict[status] for status in statuses)
if len(ret_tuple) > 1:
return ret_tuple
return ret_tuple[0] # pragma: no cover
| () | [
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] |
22,852 | pipen_verbose | PipenVerbose | pipen-verbose plugin: Logging some addtitional informtion for pipen | class PipenVerbose:
"""pipen-verbose plugin: Logging some addtitional informtion for pipen"""
__version__: str = __version__
def __init__(self) -> None:
"""Constructor"""
self.tic: float = 0.0 # pragma: no cover
@plugin.impl
def on_proc_input_computed(self, proc: "Proc"):
"""Print input data on debug"""
data_to_show = proc.input.data.copy()
if hasattr(data_to_show, "map"): # pragma: no cover
# pandas 2.1
data_to_show = data_to_show.map(_shorten_path)
else:
data_to_show = data_to_show.applymap(_shorten_path)
for line in data_to_show.to_string(
show_dimensions=True, index=False
).splitlines():
line = line.replace('%', '%%').replace('[', '\\[')
proc.log("debug", f"indata | {line}")
@plugin.impl
async def on_proc_start(self, proc: "Proc"):
"""Print some configuration items of the process"""
props = {}
for prop, getter in VERBOSAL_CONFIGS.items():
value = getter(proc) if getter else getattr(proc, prop)
if value is not None and value != proc.pipeline.config.get(
prop, None
):
props[prop] = value
key_len = max(len(prop) for prop in props) if props else 0
for prop, value in props.items():
proc.log(
"info", "%s: %s", prop.ljust(key_len), value, logger=logger
)
# args
if proc.envs:
key_len = max(len(key) for key in proc.envs) if proc.envs else 0
for key, value in proc.envs.items():
value = [
line
if i == 0
else f"{' ' * (len(proc.name) + key_len + 17)}{line}"
for i, line in enumerate(
str(value)
.replace('%', '%%')
.replace('[', '\\[')
.splitlines()
)
]
proc.log(
"info",
"envs.%s: %s",
key.ljust(key_len),
"\n".join(value),
logger=logger,
)
job = proc.jobs[0]
# input
input = job.input
key_len = max(len(inp) for inp in input) if input else 0
for inkey, inval in input.items():
job.log(
"info", "in.%s: %s", inkey.ljust(key_len), inval, logger=logger
)
# output
output = job.output
key_len = max(len(outp) for outp in output) if output else 0
for inkey, inval in output.items():
job.log(
"info",
"out.%s: %s",
inkey.ljust(key_len),
inval,
logger=logger,
)
self.tic = time()
@plugin.impl
async def on_proc_done(self, proc: "Proc", succeeded: bool) -> None:
"""Log the ellapsed time for the process.
If the process fails, log some error messages.
"""
proc.log(
"info",
"Time elapsed: %ss",
_format_secs(time() - self.tic),
logger=logger,
)
if succeeded:
return
# print error info if any job failed
failed_jobs = [
job.index for job in proc.jobs if job.status == JobStatus.FAILED
]
if not failed_jobs: # pragma: no cover
# could be triggered by Ctrl+C and all jobs are running
return
job = proc.jobs[failed_jobs[0]]
proc.log(
"error",
"[red]Failed jobs: %s[/red]",
brief_list(failed_jobs),
logger=logger,
)
for job in proc.jobs:
if job.status == JobStatus.FAILED:
stderr = (
await a_read_text(job.stderr_file)
if job.stderr_file.is_file()
else ""
)
for line in stderr.splitlines():
job.log("error", "[red]%s[/red]", line, logger=logger)
job.log(
"error",
"[red]-----------------------------------[/red]",
logger=logger,
)
job.log("error", "Script: %s", job.script_file, logger=logger)
job.log("error", "Stdout: %s", job.stdout_file, logger=logger)
job.log("error", "Stderr: %s", job.stderr_file, logger=logger)
break
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22,853 | pipen_verbose | __init__ | Constructor | def __init__(self) -> None:
"""Constructor"""
self.tic: float = 0.0 # pragma: no cover
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22,854 | pipen_verbose | _format_secs | Format a time duration
Args:
seconds: the time duration in seconds
Returns
The formated string.
For example: "01:01:01.001" stands for 1 hour 1 min 1 sec and 1 minisec.
| def _format_secs(seconds: float) -> str:
"""Format a time duration
Args:
seconds: the time duration in seconds
Returns
The formated string.
For example: "01:01:01.001" stands for 1 hour 1 min 1 sec and 1 minisec.
"""
minute, sec = divmod(seconds, 60)
hour, minute = divmod(minute, 60)
return "%02d:%02d:%02d.%03.0f" % (
hour,
minute,
sec,
1000 * (sec - int(sec)),
)
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0.020799273625016212,
-0.0681484267115593,
-0.05134470760822296,
0.0002911478222813457,
-0.028827719390392303,
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] |
22,855 | pipen_verbose | _shorten_path | Shorten the path in input data | def _shorten_path(path: Any, cutoff: int = 20) -> Any:
"""Shorten the path in input data"""
if not isinstance(path, str):
return path
if len(path) < cutoff:
return path
if os.path.sep not in path:
return f"{path[:5]} ... {path[-5:]}"
parts = path.split(os.path.sep)
if len(parts) >= 3:
out = os.path.sep.join([parts[0], "..."] + parts[-2:])
if len(out) < cutoff:
return out
out = os.path.sep.join([parts[0], "...", parts[-1]])
return out
if len(parts[0]) > 3:
return os.path.sep.join(["...", parts[-1]])
return os.path.sep.join([parts[0], f"...{parts[-1][-5:]}"])
| (path: Any, cutoff: int = 20) -> Any | [
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22,856 | xqute.utils | a_read_text | Read the text from a file asyncly
Args:
path: The path of the file
Returns:
The content of the file
| """Utilities for xqute"""
import logging
from os import PathLike
from typing import Callable
import asyncio
from functools import partial, wraps
import aiopath as aiop # type: ignore
import aiofile as aiof
from rich.logging import RichHandler
from .defaults import LOGGER_NAME
# helper functions to read and write the whole content of the file
async def a_read_text(path: PathLike) -> str:
"""Read the text from a file asyncly
Args:
path: The path of the file
Returns:
The content of the file
"""
async with aiof.async_open(path, mode='rt') as file: # type: ignore
return await file.read()
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22,857 | pipen.utils | brief_list | Briefly show an integer list, combine the continuous numbers.
Args:
blist: The list
Returns:
The string to show for the briefed list.
| def brief_list(blist: List[int]) -> str:
"""Briefly show an integer list, combine the continuous numbers.
Args:
blist: The list
Returns:
The string to show for the briefed list.
"""
ret = []
for _, g in groupby(enumerate(blist), lambda x: x[0] - x[1]):
list_group = list(map(itemgetter(1), g))
if len(list_group) > 1:
ret.append(f"{list_group[0]}-{list_group[-1]}")
else:
ret.append(str(list_group[0]))
return ", ".join(ret)
| (blist: List[int]) -> str | [
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22,858 | pipen.utils | get_logger | Get the logger by given plugin name
Args:
level: The initial level of the logger
Returns:
The logger
| def get_logger(
name: str = LOGGER_NAME,
level: str | int = None,
) -> logging.LoggerAdapter:
"""Get the logger by given plugin name
Args:
level: The initial level of the logger
Returns:
The logger
"""
log = logging.getLogger(f"pipen.{name}")
log.addHandler(_logger_handler)
if level is not None:
log.setLevel(level.upper() if isinstance(level, str) else level)
return logging.LoggerAdapter(log, {"plugin_name": name})
| (name: str = 'core', level: Union[str, int, NoneType] = None) -> logging.LoggerAdapter | [
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0.01939529925584793,
0.04239816218614578,
0.012710150331258774
] |
22,860 | pyglottolog.api | Glottolog |
API to access Glottolog data
This class provides (read and write) access to a local copy of the Glottolog data, which can
be obtained as explained in the `README <https://github.com/glottolog/pyglottolog#install>`_
| class Glottolog(API):
"""
API to access Glottolog data
This class provides (read and write) access to a local copy of the Glottolog data, which can
be obtained as explained in the `README <https://github.com/glottolog/pyglottolog#install>`_
"""
countries = [models.Country(c.alpha_2, c.name) for c in pycountry.countries]
def __init__(self, repos='.', *, cache: bool = False):
"""
:param repos: Path to a copy of `<https://github.com/glottolog/glottolog>`_
:param cache: Indicate whether to cache `Languoid` objects or not. If `True`, the API must \
be used read-only.
"""
API.__init__(self, repos=repos)
#: Absolute path to the copy of the data repository:
self.repos: pathlib.Path = pathlib.Path.cwd() / self.repos
#: Absolute path to the `tree` directory in the repos.
self.tree: pathlib.Path = self.repos / 'languoids' / 'tree'
if not self.tree.exists():
raise ValueError('repos dir %s missing tree dir: %s' % (self.repos, self.tree))
if not self.repos.joinpath('references').exists():
raise ValueError('repos dir %s missing references subdir' % (self.repos,))
self.cache = Cache() if cache else None
def __str__(self):
return '<Glottolog repos {0} at {1}>'.format(git_describe(self.repos), self.repos)
def describe(self) -> str:
return git_describe(self.repos)
def references_path(self, *comps: str):
"""
Path within the `references` directory of the repos.
"""
return self.repos.joinpath('references', *comps)
def languoids_path(self, *comps):
"""
Path within the `languoids` directory of the repos.
"""
return self.repos.joinpath('languoids', *comps)
def build_path(self, *comps: str) -> pathlib.Path:
build_dir = self.repos.joinpath('build')
if not build_dir.exists():
build_dir.mkdir() # pragma: no cover
return build_dir.joinpath(*comps)
@contextlib.contextmanager
def cache_dir(self, name):
d = self.build_path(name)
if not d.exists():
d.mkdir()
yield d
def _cfg(self, name, cls=None):
return config.Config.from_ini(
self.path('config', name + '.ini'), object_class=cls or config.Generic)
@functools.cached_property
def aes_status(self) -> typing.Dict[str, config.AES]:
"""
:rtype: mapping with :class:`config.AES` values.
"""
return self._cfg('aes_status', cls=config.AES)
@functools.cached_property
def aes_sources(self) -> typing.Dict[str, config.AESSource]:
"""
:rtype: mapping with :class:`config.AESSource` values
"""
return self._cfg('aes_sources', cls=config.AESSource)
@functools.cached_property
def document_types(self) -> typing.Dict[str, config.DocumentType]:
"""
:rtype: mapping with :class:`config.DocumentType` values
"""
return self._cfg('document_types', cls=config.DocumentType)
@functools.cached_property
def med_types(self) -> typing.Dict[str, config.MEDType]:
"""
:rtype: mapping with :class:`config.MEDType` values
"""
return self._cfg('med_types', cls=config.MEDType)
@functools.cached_property
def macroareas(self) -> typing.Dict[str, config.Macroarea]:
"""
:rtype: mapping with :class:`config.Macroarea` values
"""
return self._cfg('macroareas', cls=config.Macroarea)
@functools.cached_property
def language_types(self) -> typing.Dict[str, config.LanguageType]:
"""
:rtype: mapping with :class:`config.LanguageType` values
"""
return self._cfg('language_types', cls=config.LanguageType)
@functools.cached_property
def languoid_levels(self) -> typing.Dict[str, config.LanguoidLevel]:
"""
:rtype: mapping with :class:`config.LanguoidLevel` values
"""
return self._cfg('languoid_levels', cls=config.LanguoidLevel)
@functools.cached_property
def editors(self) -> typing.Dict[str, config.Generic]:
"""
Metadata about editors of Glottolog
:rtype: mapping with :class:`config.Generic` values
"""
return self._cfg('editors')
@functools.cached_property
def publication(self) -> typing.Dict[str, config.Generic]:
"""
Metadata about the Glottolog publication
:rtype: mapping with :class:`config.Generic` values
"""
return self._cfg('publication')
@functools.cached_property
def iso(self) -> clldutils.iso_639_3.ISO:
"""
:return: `clldutils.iso_639_3.ISO` instance, fed with the data of the latest \
ISO code table zip found in the `build` directory.
"""
return util.get_iso(self.build_path())
@property
def ftsindex(self) -> pathlib.Path:
"""
Directory within `build` where the FullTextSearch index is created.
"""
return self.build_path('whoosh')
@functools.cached_property
def _tree_dirs(self):
return list(walk(self.tree, mode='dirs'))
@property
def glottocodes(self) -> models.Glottocodes:
"""
Registry of Glottocodes.
"""
return models.Glottocodes(self.languoids_path('glottocodes.json'))
def languoid(self, id_: typing.Union[str, lls.Languoid]) -> lls.Languoid:
"""
Retrieve a languoid specified by language code.
:param id_: Glottocode or ISO code.
"""
if isinstance(id_, lls.Languoid):
return id_
if self.cache and id_ in self.cache:
return self.cache[id_]
if ISO_CODE_PATTERN.match(id_):
for d in self._tree_dirs if self.cache else walk(self.tree, mode='dirs'):
if self.cache:
l_ = self.cache.add(d, self)
else:
l_ = lls.Languoid.from_dir(d, _api=self)
if l_.iso_code == id_:
return l_
else:
for d in self._tree_dirs if self.cache else walk(self.tree, mode='dirs'):
l_ = None
if self.cache:
# If we cache Languoids, we might as well instantiate the ones we traverse:
l_ = self.cache.add(d, self)
if d.name == id_:
if self.cache:
return l_
return lls.Languoid.from_dir(d, _api=self)
def languoids(
self,
ids: set = None,
maxlevel: typing.Union[int, config.LanguoidLevel, str] = None,
exclude_pseudo_families: bool = False
) -> typing.Generator[lls.Languoid, None, None]:
"""
Yields languoid objects.
:param ids: `set` of Glottocodes to limit the result to. This is useful to increase \
performance, since INI file reading can be skipped for languoids not listed.
:param maxlevel: Numeric maximal nesting depth of languoids, or Languoid.level.
:param exclude_pseudo_families: Flag signaling whether to exclude pseud families, \
i.e. languoids from non-genealogical trees.
"""
is_max_level_int = isinstance(maxlevel, int)
# Non-numeric levels are interpreted as `Languoid.level` descriptors.
if not is_max_level_int:
maxlevel = self.languoid_levels.get(maxlevel or 'dialect')
# Since we traverse the tree topdown, we can cache a mapping of Languoid.id to triples
# (name, id, level) for populating `Languoid.lineage`.
nodes = {}
for d in self._tree_dirs if self.cache else walk(self.tree, mode='dirs'):
if ids is None or d.name in ids:
if self.cache:
lang = self.cache.add(d, self)
else:
lang = lls.Languoid.from_dir(d, nodes=nodes, _api=self)
if (is_max_level_int and len(lang.lineage) <= maxlevel) \
or ((not is_max_level_int) and lang.level <= maxlevel):
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22,861 | pyglottolog.api | __init__ |
:param repos: Path to a copy of `<https://github.com/glottolog/glottolog>`_
:param cache: Indicate whether to cache `Languoid` objects or not. If `True`, the API must be used read-only.
| def __init__(self, repos='.', *, cache: bool = False):
"""
:param repos: Path to a copy of `<https://github.com/glottolog/glottolog>`_
:param cache: Indicate whether to cache `Languoid` objects or not. If `True`, the API must \
be used read-only.
"""
API.__init__(self, repos=repos)
#: Absolute path to the copy of the data repository:
self.repos: pathlib.Path = pathlib.Path.cwd() / self.repos
#: Absolute path to the `tree` directory in the repos.
self.tree: pathlib.Path = self.repos / 'languoids' / 'tree'
if not self.tree.exists():
raise ValueError('repos dir %s missing tree dir: %s' % (self.repos, self.tree))
if not self.repos.joinpath('references').exists():
raise ValueError('repos dir %s missing references subdir' % (self.repos,))
self.cache = Cache() if cache else None
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22,862 | pyglottolog.api | __str__ | null | def __str__(self):
return '<Glottolog repos {0} at {1}>'.format(git_describe(self.repos), self.repos)
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] |
22,863 | pyglottolog.api | _cfg | null | def _cfg(self, name, cls=None):
return config.Config.from_ini(
self.path('config', name + '.ini'), object_class=cls or config.Generic)
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] |
22,864 | pyglottolog.api | ascii_tree |
Prints an ASCII representation of the languoid tree starting at `start` to `stdout`.
| def ascii_tree(self, start: typing.Union[str, lls.Languoid], maxlevel=None):
"""
Prints an ASCII representation of the languoid tree starting at `start` to `stdout`.
"""
_ascii_node(
self.languoid(start),
0,
True,
self.languoid_levels.get(maxlevel, maxlevel) if maxlevel else None,
'',
self.languoid_levels)
| (self, start: Union[str, pyglottolog.languoids.languoid.Languoid], maxlevel=None) | [
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22,865 | clldutils.apilib | assert_release | null | def assert_release(self):
return assert_release(self.repos)
| (self) | [
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22,866 | pyglottolog.api | build_path | null | def build_path(self, *comps: str) -> pathlib.Path:
build_dir = self.repos.joinpath('build')
if not build_dir.exists():
build_dir.mkdir() # pragma: no cover
return build_dir.joinpath(*comps)
| (self, *comps: str) -> pathlib.Path | [
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22,867 | pyglottolog.api | cache_dir | null | def languoids_by_code(self, nodes=None) -> typing.Dict[str, lls.Languoid]:
"""
Returns a `dict` mapping the three major language code schemes
(Glottocode, ISO code, and Harald's NOCODE_s) to Languoid objects.
"""
res = {}
for lang in (self.languoids() if nodes is None else nodes.values()):
res[lang.id] = lang
if lang.hid:
res[lang.hid] = lang
if lang.iso:
res[lang.iso] = lang
return res
| (self, name) | [
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22,868 | pyglottolog.api | describe | null | def describe(self) -> str:
return git_describe(self.repos)
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] |
22,869 | pyglottolog.api | languoid |
Retrieve a languoid specified by language code.
:param id_: Glottocode or ISO code.
| def languoid(self, id_: typing.Union[str, lls.Languoid]) -> lls.Languoid:
"""
Retrieve a languoid specified by language code.
:param id_: Glottocode or ISO code.
"""
if isinstance(id_, lls.Languoid):
return id_
if self.cache and id_ in self.cache:
return self.cache[id_]
if ISO_CODE_PATTERN.match(id_):
for d in self._tree_dirs if self.cache else walk(self.tree, mode='dirs'):
if self.cache:
l_ = self.cache.add(d, self)
else:
l_ = lls.Languoid.from_dir(d, _api=self)
if l_.iso_code == id_:
return l_
else:
for d in self._tree_dirs if self.cache else walk(self.tree, mode='dirs'):
l_ = None
if self.cache:
# If we cache Languoids, we might as well instantiate the ones we traverse:
l_ = self.cache.add(d, self)
if d.name == id_:
if self.cache:
return l_
return lls.Languoid.from_dir(d, _api=self)
| (self, id_: Union[str, pyglottolog.languoids.languoid.Languoid]) -> pyglottolog.languoids.languoid.Languoid | [
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22,870 | pyglottolog.api | languoids |
Yields languoid objects.
:param ids: `set` of Glottocodes to limit the result to. This is useful to increase performance, since INI file reading can be skipped for languoids not listed.
:param maxlevel: Numeric maximal nesting depth of languoids, or Languoid.level.
:param exclude_pseudo_families: Flag signaling whether to exclude pseud families, i.e. languoids from non-genealogical trees.
| def languoids(
self,
ids: set = None,
maxlevel: typing.Union[int, config.LanguoidLevel, str] = None,
exclude_pseudo_families: bool = False
) -> typing.Generator[lls.Languoid, None, None]:
"""
Yields languoid objects.
:param ids: `set` of Glottocodes to limit the result to. This is useful to increase \
performance, since INI file reading can be skipped for languoids not listed.
:param maxlevel: Numeric maximal nesting depth of languoids, or Languoid.level.
:param exclude_pseudo_families: Flag signaling whether to exclude pseud families, \
i.e. languoids from non-genealogical trees.
"""
is_max_level_int = isinstance(maxlevel, int)
# Non-numeric levels are interpreted as `Languoid.level` descriptors.
if not is_max_level_int:
maxlevel = self.languoid_levels.get(maxlevel or 'dialect')
# Since we traverse the tree topdown, we can cache a mapping of Languoid.id to triples
# (name, id, level) for populating `Languoid.lineage`.
nodes = {}
for d in self._tree_dirs if self.cache else walk(self.tree, mode='dirs'):
if ids is None or d.name in ids:
if self.cache:
lang = self.cache.add(d, self)
else:
lang = lls.Languoid.from_dir(d, nodes=nodes, _api=self)
if (is_max_level_int and len(lang.lineage) <= maxlevel) \
or ((not is_max_level_int) and lang.level <= maxlevel):
if (not exclude_pseudo_families) or not lang.category.startswith('Pseudo'):
yield lang
| (self, ids: Optional[set] = None, maxlevel: Union[int, pyglottolog.config.LanguoidLevel, str, NoneType] = None, exclude_pseudo_families: bool = False) -> Generator[pyglottolog.languoids.languoid.Languoid, NoneType, NoneType] | [
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22,871 | pyglottolog.api | languoids_by_code |
Returns a `dict` mapping the three major language code schemes
(Glottocode, ISO code, and Harald's NOCODE_s) to Languoid objects.
| def languoids_by_code(self, nodes=None) -> typing.Dict[str, lls.Languoid]:
"""
Returns a `dict` mapping the three major language code schemes
(Glottocode, ISO code, and Harald's NOCODE_s) to Languoid objects.
"""
res = {}
for lang in (self.languoids() if nodes is None else nodes.values()):
res[lang.id] = lang
if lang.hid:
res[lang.hid] = lang
if lang.iso:
res[lang.iso] = lang
return res
| (self, nodes=None) -> Dict[str, pyglottolog.languoids.languoid.Languoid] | [
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0.024113405495882034,
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-0.012736347503960133,
0.026180269196629524,
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22,872 | pyglottolog.api | languoids_path |
Path within the `languoids` directory of the repos.
| def languoids_path(self, *comps):
"""
Path within the `languoids` directory of the repos.
"""
return self.repos.joinpath('languoids', *comps)
| (self, *comps) | [
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22,873 | pyglottolog.api | newick_tree |
Returns the Newick representation of a (set of) Glottolog classification tree(s).
:param start: Root languoid of the tree (or `None` to return the complete classification).
:param template: Python format string accepting the `Languoid` instance as single variable named `l`, used to format node labels.
| def newick_tree(
self,
start: typing.Union[None, str, lls.Languoid] = None,
template: str = None,
nodes=None,
maxlevel: typing.Union[int, config.LanguoidLevel] = None
) -> str:
"""
Returns the Newick representation of a (set of) Glottolog classification tree(s).
:param start: Root languoid of the tree (or `None` to return the complete classification).
:param template: Python format string accepting the `Languoid` instance as single \
variable named `l`, used to format node labels.
"""
template = template or lls.Languoid._newick_default_template
if start:
return self.languoid(start).newick_node(
template=template, nodes=nodes, maxlevel=maxlevel, level=1).newick + ';'
if nodes is None:
nodes = collections.OrderedDict((lang.id, lang) for lang in self.languoids())
trees = []
for lang in nodes.values():
if not lang.lineage and not lang.category.startswith('Pseudo '):
ns = lang.newick_node(
nodes=nodes, template=template, maxlevel=maxlevel, level=1).newick
if lang.level == self.languoid_levels.language:
# An isolate: we wrap it in a pseudo-family with the same name and ID.
fam = lls.Languoid.from_name_id_level(
lang.dir.parent, lang.name, lang.id, 'family', _api=self)
ns = '({0}){1}:1'.format(ns, template.format(l=fam)) # noqa: E741
trees.append('{0};'.format(ns))
return '\n'.join(trees)
| (self, start: Union[NoneType, str, pyglottolog.languoids.languoid.Languoid] = None, template: Optional[str] = None, nodes=None, maxlevel: Union[int, pyglottolog.config.LanguoidLevel, NoneType] = None) -> str | [
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22,874 | clldutils.apilib | path |
A path within the repository.
:param comps: path components relative to `self.repos`.
| def path(self, *comps: str) -> pathlib.Path:
"""
A path within the repository.
:param comps: path components relative to `self.repos`.
"""
return self.repos.joinpath(*comps)
| (self, *comps: str) -> pathlib.Path | [
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22,875 | pyglottolog.api | references_path |
Path within the `references` directory of the repos.
| def references_path(self, *comps: str):
"""
Path within the `references` directory of the repos.
"""
return self.repos.joinpath('references', *comps)
| (self, *comps: str) | [
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22,876 | pyglottolog.api | refs_by_languoid | null | def refs_by_languoid(self, *bibfiles, **kw):
nodes = kw.get('nodes')
if bibfiles:
bibfiles = [
bib if isinstance(bib, references.BibFile) else self.bibfiles[bib]
for bib in bibfiles]
else:
bibfiles = self.bibfiles
all_ = {}
languoids_by_code = self.languoids_by_code(
nodes or {lang.id: lang for lang in self.languoids()})
res = collections.defaultdict(list)
for bib in tqdm(bibfiles):
for entry in bib.iterentries():
all_[entry.id] = entry
for lang in entry.languoids(languoids_by_code)[0]:
res[lang.id].append(entry)
return res, all_
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22,877 | pyglottolog.api | write_languoids_table | null | def write_languoids_table(self, outdir, version=None):
version = version or self.describe()
out = outdir / 'glottolog-languoids-{0}.csv'.format(version)
md = outdir / (out.name + '-metadata.json')
tg = TableGroup.fromvalue({
"@context": "http://www.w3.org/ns/csvw",
"dc:version": version,
"dc:bibliographicCitation":
"{0}. "
"{1} [Data set]. "
"Zenodo. https://doi.org/{2}".format(
' & '.join([e.name for e in self.current_editors]),
self.publication.zenodo.title_format.format('(Version {0})'.format(version)),
self.publication.zenodo.doi,
),
"tables": [load(pycldf.util.pkg_path('components', 'LanguageTable-metadata.json'))],
})
tg.tables[0].url = out.name
for col in [
dict(name='LL_Code'),
dict(name='Classification', separator='/'),
dict(name='Family_Glottocode'),
dict(name='Family_Name'),
dict(name='Language_Glottocode'),
dict(name='Language_Name'),
dict(name='Level', datatype=dict(base='string', format='family|language|dialect')),
dict(name='Status'),
]:
tg.tables[0].tableSchema.columns.append(Column.fromvalue(col))
langs = []
for lang in self.languoids():
lid, lname = None, None
if lang.level == self.languoid_levels.language:
lid, lname = lang.id, lang.name
elif lang.level == self.languoid_levels.dialect:
for lname, lid, level in reversed(lang.lineage):
if level == self.languoid_levels.language:
break
else: # pragma: no cover
raise ValueError
langs.append(dict(
ID=lang.id,
Name=lang.name,
Macroarea=lang.macroareas[0].name if lang.macroareas else None,
Latitude=lang.latitude,
Longitude=lang.longitude,
Glottocode=lang.id,
ISO639P3code=lang.iso,
LL_Code=lang.identifier.get('multitree'),
Classification=[c[1] for c in lang.lineage],
Language_Glottocode=lid,
Language_Name=lname,
Family_Name=lang.lineage[0][0] if lang.lineage else None,
Family_Glottocode=lang.lineage[0][1] if lang.lineage else None,
Level=lang.level.name,
Status=lang.endangerment.status.name if lang.endangerment else None,
))
tg.to_file(md)
tg.tables[0].write(langs, fname=out)
return md, out
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22,884 | anytree.render | AbstractStyle |
Tree Render Style.
Args:
vertical: Sign for vertical line.
cont: Chars for a continued branch.
end: Chars for the last branch.
| class AbstractStyle:
"""
Tree Render Style.
Args:
vertical: Sign for vertical line.
cont: Chars for a continued branch.
end: Chars for the last branch.
"""
def __init__(self, vertical, cont, end):
super(AbstractStyle, self).__init__()
self.vertical = vertical
self.cont = cont
self.end = end
if ASSERTIONS: # pragma: no branch
assert len(cont) == len(vertical) == len(end), "'%s', '%s' and '%s' need to have equal length" % (
vertical,
cont,
end,
)
@property
def empty(self):
"""Empty string as placeholder."""
return " " * len(self.end)
def __repr__(self):
classname = self.__class__.__name__
return "%s()" % classname
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22,885 | anytree.render | __init__ | null | def __init__(self, vertical, cont, end):
super(AbstractStyle, self).__init__()
self.vertical = vertical
self.cont = cont
self.end = end
if ASSERTIONS: # pragma: no branch
assert len(cont) == len(vertical) == len(end), "'%s', '%s' and '%s' need to have equal length" % (
vertical,
cont,
end,
)
| (self, vertical, cont, end) | [
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0.002706150757148862,
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22,886 | anytree.render | __repr__ | null | def __repr__(self):
classname = self.__class__.__name__
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22,887 | anytree.node.anynode | AnyNode |
A generic tree node with any `kwargs`.
Keyword Args:
parent: Reference to parent node.
children: Iterable with child nodes.
*: Any other given attribute is just stored as object attribute.
Other than :any:`Node` this class has no default identifier.
It is up to the user to use other attributes for identification.
The `parent` attribute refers the parent node:
>>> from anytree import AnyNode, RenderTree
>>> root = AnyNode(id="root")
>>> s0 = AnyNode(id="sub0", parent=root)
>>> s0b = AnyNode(id="sub0B", parent=s0, foo=4, bar=109)
>>> s0a = AnyNode(id="sub0A", parent=s0)
>>> s1 = AnyNode(id="sub1", parent=root)
>>> s1a = AnyNode(id="sub1A", parent=s1)
>>> s1b = AnyNode(id="sub1B", parent=s1, bar=8)
>>> s1c = AnyNode(id="sub1C", parent=s1)
>>> s1ca = AnyNode(id="sub1Ca", parent=s1c)
>>> root
AnyNode(id='root')
>>> s0
AnyNode(id='sub0')
>>> print(RenderTree(root))
AnyNode(id='root')
├── AnyNode(id='sub0')
│ ├── AnyNode(bar=109, foo=4, id='sub0B')
│ └── AnyNode(id='sub0A')
└── AnyNode(id='sub1')
├── AnyNode(id='sub1A')
├── AnyNode(bar=8, id='sub1B')
└── AnyNode(id='sub1C')
└── AnyNode(id='sub1Ca')
>>> print(RenderTree(root))
AnyNode(id='root')
├── AnyNode(id='sub0')
│ ├── AnyNode(bar=109, foo=4, id='sub0B')
│ └── AnyNode(id='sub0A')
└── AnyNode(id='sub1')
├── AnyNode(id='sub1A')
├── AnyNode(bar=8, id='sub1B')
└── AnyNode(id='sub1C')
└── AnyNode(id='sub1Ca')
Node attributes can be added, modified and deleted the pythonic way:
>>> root.new = 'a new attribute'
>>> s0b
AnyNode(bar=109, foo=4, id='sub0B')
>>> s0b.bar = 110 # modified
>>> s0b
AnyNode(bar=110, foo=4, id='sub0B')
>>> del s1b.bar
>>> print(RenderTree(root))
AnyNode(id='root', new='a new attribute')
├── AnyNode(id='sub0')
│ ├── AnyNode(bar=110, foo=4, id='sub0B')
│ └── AnyNode(id='sub0A')
└── AnyNode(id='sub1')
├── AnyNode(id='sub1A')
├── AnyNode(id='sub1B')
└── AnyNode(id='sub1C')
└── AnyNode(id='sub1Ca')
The same tree can be constructed by using the `children` attribute:
>>> root = AnyNode(id="root", children=[
... AnyNode(id="sub0", children=[
... AnyNode(id="sub0B", foo=4, bar=109),
... AnyNode(id="sub0A"),
... ]),
... AnyNode(id="sub1", children=[
... AnyNode(id="sub1A"),
... AnyNode(id="sub1B", bar=8),
... AnyNode(id="sub1C", children=[
... AnyNode(id="sub1Ca"),
... ]),
... ]),
... ])
| class AnyNode(NodeMixin):
"""
A generic tree node with any `kwargs`.
Keyword Args:
parent: Reference to parent node.
children: Iterable with child nodes.
*: Any other given attribute is just stored as object attribute.
Other than :any:`Node` this class has no default identifier.
It is up to the user to use other attributes for identification.
The `parent` attribute refers the parent node:
>>> from anytree import AnyNode, RenderTree
>>> root = AnyNode(id="root")
>>> s0 = AnyNode(id="sub0", parent=root)
>>> s0b = AnyNode(id="sub0B", parent=s0, foo=4, bar=109)
>>> s0a = AnyNode(id="sub0A", parent=s0)
>>> s1 = AnyNode(id="sub1", parent=root)
>>> s1a = AnyNode(id="sub1A", parent=s1)
>>> s1b = AnyNode(id="sub1B", parent=s1, bar=8)
>>> s1c = AnyNode(id="sub1C", parent=s1)
>>> s1ca = AnyNode(id="sub1Ca", parent=s1c)
>>> root
AnyNode(id='root')
>>> s0
AnyNode(id='sub0')
>>> print(RenderTree(root))
AnyNode(id='root')
├── AnyNode(id='sub0')
│ ├── AnyNode(bar=109, foo=4, id='sub0B')
│ └── AnyNode(id='sub0A')
└── AnyNode(id='sub1')
├── AnyNode(id='sub1A')
├── AnyNode(bar=8, id='sub1B')
└── AnyNode(id='sub1C')
└── AnyNode(id='sub1Ca')
>>> print(RenderTree(root))
AnyNode(id='root')
├── AnyNode(id='sub0')
│ ├── AnyNode(bar=109, foo=4, id='sub0B')
│ └── AnyNode(id='sub0A')
└── AnyNode(id='sub1')
├── AnyNode(id='sub1A')
├── AnyNode(bar=8, id='sub1B')
└── AnyNode(id='sub1C')
└── AnyNode(id='sub1Ca')
Node attributes can be added, modified and deleted the pythonic way:
>>> root.new = 'a new attribute'
>>> s0b
AnyNode(bar=109, foo=4, id='sub0B')
>>> s0b.bar = 110 # modified
>>> s0b
AnyNode(bar=110, foo=4, id='sub0B')
>>> del s1b.bar
>>> print(RenderTree(root))
AnyNode(id='root', new='a new attribute')
├── AnyNode(id='sub0')
│ ├── AnyNode(bar=110, foo=4, id='sub0B')
│ └── AnyNode(id='sub0A')
└── AnyNode(id='sub1')
├── AnyNode(id='sub1A')
├── AnyNode(id='sub1B')
└── AnyNode(id='sub1C')
└── AnyNode(id='sub1Ca')
The same tree can be constructed by using the `children` attribute:
>>> root = AnyNode(id="root", children=[
... AnyNode(id="sub0", children=[
... AnyNode(id="sub0B", foo=4, bar=109),
... AnyNode(id="sub0A"),
... ]),
... AnyNode(id="sub1", children=[
... AnyNode(id="sub1A"),
... AnyNode(id="sub1B", bar=8),
... AnyNode(id="sub1C", children=[
... AnyNode(id="sub1Ca"),
... ]),
... ]),
... ])
"""
def __init__(self, parent=None, children=None, **kwargs):
self.__dict__.update(kwargs)
self.parent = parent
if children:
self.children = children
def __repr__(self):
return _repr(self)
| (parent=None, children=None, **kwargs) | [
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22,888 | anytree.node.nodemixin | __attach | null | def __attach(self, parent):
# pylint: disable=W0212
if parent is not None:
self._pre_attach(parent)
parentchildren = parent.__children_or_empty
if ASSERTIONS: # pragma: no branch
assert not any(child is self for child in parentchildren), "Tree is corrupt." # pragma: no cover
# ATOMIC START
parentchildren.append(self)
self.__parent = parent
# ATOMIC END
self._post_attach(parent)
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22,889 | anytree.node.nodemixin | __check_children | null | @staticmethod
def __check_children(children):
seen = set()
for child in children:
if not isinstance(child, (NodeMixin, LightNodeMixin)):
msg = "Cannot add non-node object %r. It is not a subclass of 'NodeMixin'." % (child,)
raise TreeError(msg)
childid = id(child)
if childid not in seen:
seen.add(childid)
else:
msg = "Cannot add node %r multiple times as child." % (child,)
raise TreeError(msg)
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22,890 | anytree.node.nodemixin | __check_loop | null | def __check_loop(self, node):
if node is not None:
if node is self:
msg = "Cannot set parent. %r cannot be parent of itself."
raise LoopError(msg % (self,))
if any(child is self for child in node.iter_path_reverse()):
msg = "Cannot set parent. %r is parent of %r."
raise LoopError(msg % (self, node))
| (self, node) | [
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22,891 | anytree.node.nodemixin | __detach | null | def __detach(self, parent):
# pylint: disable=W0212,W0238
if parent is not None:
self._pre_detach(parent)
parentchildren = parent.__children_or_empty
if ASSERTIONS: # pragma: no branch
assert any(child is self for child in parentchildren), "Tree is corrupt." # pragma: no cover
# ATOMIC START
parent.__children = [child for child in parentchildren if child is not self]
self.__parent = None
# ATOMIC END
self._post_detach(parent)
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22,892 | anytree.node.anynode | __init__ | null | def __init__(self, parent=None, children=None, **kwargs):
self.__dict__.update(kwargs)
self.parent = parent
if children:
self.children = children
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22,893 | anytree.node.anynode | __repr__ | null | def __repr__(self):
return _repr(self)
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22,894 | anytree.node.nodemixin | _post_attach | Method call after attaching to `parent`. | def _post_attach(self, parent):
"""Method call after attaching to `parent`."""
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22,895 | anytree.node.nodemixin | _post_attach_children | Method call after attaching `children`. | def _post_attach_children(self, children):
"""Method call after attaching `children`."""
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22,896 | anytree.node.nodemixin | _post_detach | Method call after detaching from `parent`. | def _post_detach(self, parent):
"""Method call after detaching from `parent`."""
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] |
22,897 | anytree.node.nodemixin | _post_detach_children | Method call after detaching `children`. | def _post_detach_children(self, children):
"""Method call after detaching `children`."""
| (self, children) | [
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22,898 | anytree.node.nodemixin | _pre_attach | Method call before attaching to `parent`. | def _pre_attach(self, parent):
"""Method call before attaching to `parent`."""
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22,899 | anytree.node.nodemixin | _pre_attach_children | Method call before attaching `children`. | def _pre_attach_children(self, children):
"""Method call before attaching `children`."""
| (self, children) | [
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22,900 | anytree.node.nodemixin | _pre_detach | Method call before detaching from `parent`. | def _pre_detach(self, parent):
"""Method call before detaching from `parent`."""
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22,901 | anytree.node.nodemixin | _pre_detach_children | Method call before detaching `children`. | def _pre_detach_children(self, children):
"""Method call before detaching `children`."""
| (self, children) | [
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22,902 | anytree.node.nodemixin | iter_path_reverse |
Iterate up the tree from the current node to the root node.
>>> from anytree import Node
>>> udo = Node("Udo")
>>> marc = Node("Marc", parent=udo)
>>> lian = Node("Lian", parent=marc)
>>> for node in udo.iter_path_reverse():
... print(node)
Node('/Udo')
>>> for node in marc.iter_path_reverse():
... print(node)
Node('/Udo/Marc')
Node('/Udo')
>>> for node in lian.iter_path_reverse():
... print(node)
Node('/Udo/Marc/Lian')
Node('/Udo/Marc')
Node('/Udo')
| def iter_path_reverse(self):
"""
Iterate up the tree from the current node to the root node.
>>> from anytree import Node
>>> udo = Node("Udo")
>>> marc = Node("Marc", parent=udo)
>>> lian = Node("Lian", parent=marc)
>>> for node in udo.iter_path_reverse():
... print(node)
Node('/Udo')
>>> for node in marc.iter_path_reverse():
... print(node)
Node('/Udo/Marc')
Node('/Udo')
>>> for node in lian.iter_path_reverse():
... print(node)
Node('/Udo/Marc/Lian')
Node('/Udo/Marc')
Node('/Udo')
"""
node = self
while node is not None:
yield node
node = node.parent
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22,903 | anytree.render | AsciiStyle |
Ascii style.
>>> from anytree import Node, RenderTree
>>> root = Node("root")
>>> s0 = Node("sub0", parent=root)
>>> s0b = Node("sub0B", parent=s0)
>>> s0a = Node("sub0A", parent=s0)
>>> s1 = Node("sub1", parent=root)
>>> print(RenderTree(root, style=AsciiStyle()))
Node('/root')
|-- Node('/root/sub0')
| |-- Node('/root/sub0/sub0B')
| +-- Node('/root/sub0/sub0A')
+-- Node('/root/sub1')
| class AsciiStyle(AbstractStyle):
"""
Ascii style.
>>> from anytree import Node, RenderTree
>>> root = Node("root")
>>> s0 = Node("sub0", parent=root)
>>> s0b = Node("sub0B", parent=s0)
>>> s0a = Node("sub0A", parent=s0)
>>> s1 = Node("sub1", parent=root)
>>> print(RenderTree(root, style=AsciiStyle()))
Node('/root')
|-- Node('/root/sub0')
| |-- Node('/root/sub0/sub0B')
| +-- Node('/root/sub0/sub0A')
+-- Node('/root/sub1')
"""
def __init__(self):
super(AsciiStyle, self).__init__("| ", "|-- ", "+-- ")
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22,904 | anytree.render | __init__ | null | def __init__(self):
super(AsciiStyle, self).__init__("| ", "|-- ", "+-- ")
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22,906 | anytree.resolver | ChildResolverError | null | class ChildResolverError(ResolverError):
def __init__(self, node, child, pathattr):
"""Child Resolve Error at `node` handling `child`."""
names = [repr(_getattr(c, pathattr)) for c in node.children]
msg = "%r has no child %s. Children are: %s." % (node, child, ", ".join(names))
super(ChildResolverError, self).__init__(node, child, msg)
| (node, child, pathattr) | [
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22,907 | anytree.resolver | __init__ | Child Resolve Error at `node` handling `child`. | def __init__(self, node, child, pathattr):
"""Child Resolve Error at `node` handling `child`."""
names = [repr(_getattr(c, pathattr)) for c in node.children]
msg = "%r has no child %s. Children are: %s." % (node, child, ", ".join(names))
super(ChildResolverError, self).__init__(node, child, msg)
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22,908 | anytree.render | ContRoundStyle |
Continued style, without gaps, round edges.
>>> from anytree import Node, RenderTree
>>> root = Node("root")
>>> s0 = Node("sub0", parent=root)
>>> s0b = Node("sub0B", parent=s0)
>>> s0a = Node("sub0A", parent=s0)
>>> s1 = Node("sub1", parent=root)
>>> print(RenderTree(root, style=ContRoundStyle()))
Node('/root')
├── Node('/root/sub0')
│ ├── Node('/root/sub0/sub0B')
│ ╰── Node('/root/sub0/sub0A')
╰── Node('/root/sub1')
| class ContRoundStyle(AbstractStyle):
"""
Continued style, without gaps, round edges.
>>> from anytree import Node, RenderTree
>>> root = Node("root")
>>> s0 = Node("sub0", parent=root)
>>> s0b = Node("sub0B", parent=s0)
>>> s0a = Node("sub0A", parent=s0)
>>> s1 = Node("sub1", parent=root)
>>> print(RenderTree(root, style=ContRoundStyle()))
Node('/root')
├── Node('/root/sub0')
│ ├── Node('/root/sub0/sub0B')
│ ╰── Node('/root/sub0/sub0A')
╰── Node('/root/sub1')
"""
def __init__(self):
super(ContRoundStyle, self).__init__("\u2502 ", "\u251c\u2500\u2500 ", "\u2570\u2500\u2500 ")
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22,909 | anytree.render | __init__ | null | def __init__(self):
super(ContRoundStyle, self).__init__("\u2502 ", "\u251c\u2500\u2500 ", "\u2570\u2500\u2500 ")
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