This commit is contained in:
2026-09-18 21:32:56 -03:00
parent 87204f8627
commit e558a08fff
353 changed files with 0 additions and 60823 deletions
@@ -1,68 +0,0 @@
import re
import textwrap
import email.message
from ._text import FoldedCase
class Message(email.message.Message):
multiple_use_keys = set(
map(
FoldedCase,
[
'Classifier',
'Obsoletes-Dist',
'Platform',
'Project-URL',
'Provides-Dist',
'Provides-Extra',
'Requires-Dist',
'Requires-External',
'Supported-Platform',
'Dynamic',
],
)
)
"""
Keys that may be indicated multiple times per PEP 566.
"""
def __new__(cls, orig: email.message.Message):
res = super().__new__(cls)
vars(res).update(vars(orig))
return res
def __init__(self, *args, **kwargs):
self._headers = self._repair_headers()
# suppress spurious error from mypy
def __iter__(self):
return super().__iter__()
def _repair_headers(self):
def redent(value):
"Correct for RFC822 indentation"
if not value or '\n' not in value:
return value
return textwrap.dedent(' ' * 8 + value)
headers = [(key, redent(value)) for key, value in vars(self)['_headers']]
if self._payload:
headers.append(('Description', self.get_payload()))
return headers
@property
def json(self):
"""
Convert PackageMetadata to a JSON-compatible format
per PEP 0566.
"""
def transform(key):
value = self.get_all(key) if key in self.multiple_use_keys else self[key]
if key == 'Keywords':
value = re.split(r'\s+', value)
tk = key.lower().replace('-', '_')
return tk, value
return dict(map(transform, map(FoldedCase, self)))
@@ -1,30 +0,0 @@
import collections
# from jaraco.collections 3.3
class FreezableDefaultDict(collections.defaultdict):
"""
Often it is desirable to prevent the mutation of
a default dict after its initial construction, such
as to prevent mutation during iteration.
>>> dd = FreezableDefaultDict(list)
>>> dd[0].append('1')
>>> dd.freeze()
>>> dd[1]
[]
>>> len(dd)
1
"""
def __missing__(self, key):
return getattr(self, '_frozen', super().__missing__)(key)
def freeze(self):
self._frozen = lambda key: self.default_factory()
class Pair(collections.namedtuple('Pair', 'name value')):
@classmethod
def parse(cls, text):
return cls(*map(str.strip, text.split("=", 1)))
@@ -1,71 +0,0 @@
import sys
import platform
__all__ = ['install', 'NullFinder', 'Protocol']
try:
from typing import Protocol
except ImportError: # pragma: no cover
from ..typing_extensions import Protocol # type: ignore
def install(cls):
"""
Class decorator for installation on sys.meta_path.
Adds the backport DistributionFinder to sys.meta_path and
attempts to disable the finder functionality of the stdlib
DistributionFinder.
"""
sys.meta_path.append(cls())
disable_stdlib_finder()
return cls
def disable_stdlib_finder():
"""
Give the backport primacy for discovering path-based distributions
by monkey-patching the stdlib O_O.
See #91 for more background for rationale on this sketchy
behavior.
"""
def matches(finder):
return getattr(
finder, '__module__', None
) == '_frozen_importlib_external' and hasattr(finder, 'find_distributions')
for finder in filter(matches, sys.meta_path): # pragma: nocover
del finder.find_distributions
class NullFinder:
"""
A "Finder" (aka "MetaClassFinder") that never finds any modules,
but may find distributions.
"""
@staticmethod
def find_spec(*args, **kwargs):
return None
# In Python 2, the import system requires finders
# to have a find_module() method, but this usage
# is deprecated in Python 3 in favor of find_spec().
# For the purposes of this finder (i.e. being present
# on sys.meta_path but having no other import
# system functionality), the two methods are identical.
find_module = find_spec
def pypy_partial(val):
"""
Adjust for variable stacklevel on partial under PyPy.
Workaround for #327.
"""
is_pypy = platform.python_implementation() == 'PyPy'
return val + is_pypy
@@ -1,104 +0,0 @@
import types
import functools
# from jaraco.functools 3.3
def method_cache(method, cache_wrapper=None):
"""
Wrap lru_cache to support storing the cache data in the object instances.
Abstracts the common paradigm where the method explicitly saves an
underscore-prefixed protected property on first call and returns that
subsequently.
>>> class MyClass:
... calls = 0
...
... @method_cache
... def method(self, value):
... self.calls += 1
... return value
>>> a = MyClass()
>>> a.method(3)
3
>>> for x in range(75):
... res = a.method(x)
>>> a.calls
75
Note that the apparent behavior will be exactly like that of lru_cache
except that the cache is stored on each instance, so values in one
instance will not flush values from another, and when an instance is
deleted, so are the cached values for that instance.
>>> b = MyClass()
>>> for x in range(35):
... res = b.method(x)
>>> b.calls
35
>>> a.method(0)
0
>>> a.calls
75
Note that if method had been decorated with ``functools.lru_cache()``,
a.calls would have been 76 (due to the cached value of 0 having been
flushed by the 'b' instance).
Clear the cache with ``.cache_clear()``
>>> a.method.cache_clear()
Same for a method that hasn't yet been called.
>>> c = MyClass()
>>> c.method.cache_clear()
Another cache wrapper may be supplied:
>>> cache = functools.lru_cache(maxsize=2)
>>> MyClass.method2 = method_cache(lambda self: 3, cache_wrapper=cache)
>>> a = MyClass()
>>> a.method2()
3
Caution - do not subsequently wrap the method with another decorator, such
as ``@property``, which changes the semantics of the function.
See also
http://code.activestate.com/recipes/577452-a-memoize-decorator-for-instance-methods/
for another implementation and additional justification.
"""
cache_wrapper = cache_wrapper or functools.lru_cache()
def wrapper(self, *args, **kwargs):
# it's the first call, replace the method with a cached, bound method
bound_method = types.MethodType(method, self)
cached_method = cache_wrapper(bound_method)
setattr(self, method.__name__, cached_method)
return cached_method(*args, **kwargs)
# Support cache clear even before cache has been created.
wrapper.cache_clear = lambda: None
return wrapper
# From jaraco.functools 3.3
def pass_none(func):
"""
Wrap func so it's not called if its first param is None
>>> print_text = pass_none(print)
>>> print_text('text')
text
>>> print_text(None)
"""
@functools.wraps(func)
def wrapper(param, *args, **kwargs):
if param is not None:
return func(param, *args, **kwargs)
return wrapper
@@ -1,73 +0,0 @@
from itertools import filterfalse
def unique_everseen(iterable, key=None):
"List unique elements, preserving order. Remember all elements ever seen."
# unique_everseen('AAAABBBCCDAABBB') --> A B C D
# unique_everseen('ABBCcAD', str.lower) --> A B C D
seen = set()
seen_add = seen.add
if key is None:
for element in filterfalse(seen.__contains__, iterable):
seen_add(element)
yield element
else:
for element in iterable:
k = key(element)
if k not in seen:
seen_add(k)
yield element
# copied from more_itertools 8.8
def always_iterable(obj, base_type=(str, bytes)):
"""If *obj* is iterable, return an iterator over its items::
>>> obj = (1, 2, 3)
>>> list(always_iterable(obj))
[1, 2, 3]
If *obj* is not iterable, return a one-item iterable containing *obj*::
>>> obj = 1
>>> list(always_iterable(obj))
[1]
If *obj* is ``None``, return an empty iterable:
>>> obj = None
>>> list(always_iterable(None))
[]
By default, binary and text strings are not considered iterable::
>>> obj = 'foo'
>>> list(always_iterable(obj))
['foo']
If *base_type* is set, objects for which ``isinstance(obj, base_type)``
returns ``True`` won't be considered iterable.
>>> obj = {'a': 1}
>>> list(always_iterable(obj)) # Iterate over the dict's keys
['a']
>>> list(always_iterable(obj, base_type=dict)) # Treat dicts as a unit
[{'a': 1}]
Set *base_type* to ``None`` to avoid any special handling and treat objects
Python considers iterable as iterable:
>>> obj = 'foo'
>>> list(always_iterable(obj, base_type=None))
['f', 'o', 'o']
"""
if obj is None:
return iter(())
if (base_type is not None) and isinstance(obj, base_type):
return iter((obj,))
try:
return iter(obj)
except TypeError:
return iter((obj,))
@@ -1,48 +0,0 @@
from ._compat import Protocol
from typing import Any, Dict, Iterator, List, TypeVar, Union
_T = TypeVar("_T")
class PackageMetadata(Protocol):
def __len__(self) -> int:
... # pragma: no cover
def __contains__(self, item: str) -> bool:
... # pragma: no cover
def __getitem__(self, key: str) -> str:
... # pragma: no cover
def __iter__(self) -> Iterator[str]:
... # pragma: no cover
def get_all(self, name: str, failobj: _T = ...) -> Union[List[Any], _T]:
"""
Return all values associated with a possibly multi-valued key.
"""
@property
def json(self) -> Dict[str, Union[str, List[str]]]:
"""
A JSON-compatible form of the metadata.
"""
class SimplePath(Protocol):
"""
A minimal subset of pathlib.Path required by PathDistribution.
"""
def joinpath(self) -> 'SimplePath':
... # pragma: no cover
def __truediv__(self) -> 'SimplePath':
... # pragma: no cover
def parent(self) -> 'SimplePath':
... # pragma: no cover
def read_text(self) -> str:
... # pragma: no cover
@@ -1,99 +0,0 @@
import re
from ._functools import method_cache
# from jaraco.text 3.5
class FoldedCase(str):
"""
A case insensitive string class; behaves just like str
except compares equal when the only variation is case.
>>> s = FoldedCase('hello world')
>>> s == 'Hello World'
True
>>> 'Hello World' == s
True
>>> s != 'Hello World'
False
>>> s.index('O')
4
>>> s.split('O')
['hell', ' w', 'rld']
>>> sorted(map(FoldedCase, ['GAMMA', 'alpha', 'Beta']))
['alpha', 'Beta', 'GAMMA']
Sequence membership is straightforward.
>>> "Hello World" in [s]
True
>>> s in ["Hello World"]
True
You may test for set inclusion, but candidate and elements
must both be folded.
>>> FoldedCase("Hello World") in {s}
True
>>> s in {FoldedCase("Hello World")}
True
String inclusion works as long as the FoldedCase object
is on the right.
>>> "hello" in FoldedCase("Hello World")
True
But not if the FoldedCase object is on the left:
>>> FoldedCase('hello') in 'Hello World'
False
In that case, use in_:
>>> FoldedCase('hello').in_('Hello World')
True
>>> FoldedCase('hello') > FoldedCase('Hello')
False
"""
def __lt__(self, other):
return self.lower() < other.lower()
def __gt__(self, other):
return self.lower() > other.lower()
def __eq__(self, other):
return self.lower() == other.lower()
def __ne__(self, other):
return self.lower() != other.lower()
def __hash__(self):
return hash(self.lower())
def __contains__(self, other):
return super().lower().__contains__(other.lower())
def in_(self, other):
"Does self appear in other?"
return self in FoldedCase(other)
# cache lower since it's likely to be called frequently.
@method_cache
def lower(self):
return super().lower()
def index(self, sub):
return self.lower().index(sub.lower())
def split(self, splitter=' ', maxsplit=0):
pattern = re.compile(re.escape(splitter), re.I)
return pattern.split(self, maxsplit)
@@ -1,36 +0,0 @@
"""Read resources contained within a package."""
from ._common import (
as_file,
files,
Package,
)
from ._legacy import (
contents,
open_binary,
read_binary,
open_text,
read_text,
is_resource,
path,
Resource,
)
from .abc import ResourceReader
__all__ = [
'Package',
'Resource',
'ResourceReader',
'as_file',
'contents',
'files',
'is_resource',
'open_binary',
'open_text',
'path',
'read_binary',
'read_text',
]
@@ -1,170 +0,0 @@
from contextlib import suppress
from io import TextIOWrapper
from . import abc
class SpecLoaderAdapter:
"""
Adapt a package spec to adapt the underlying loader.
"""
def __init__(self, spec, adapter=lambda spec: spec.loader):
self.spec = spec
self.loader = adapter(spec)
def __getattr__(self, name):
return getattr(self.spec, name)
class TraversableResourcesLoader:
"""
Adapt a loader to provide TraversableResources.
"""
def __init__(self, spec):
self.spec = spec
def get_resource_reader(self, name):
return CompatibilityFiles(self.spec)._native()
def _io_wrapper(file, mode='r', *args, **kwargs):
if mode == 'r':
return TextIOWrapper(file, *args, **kwargs)
elif mode == 'rb':
return file
raise ValueError(
"Invalid mode value '{}', only 'r' and 'rb' are supported".format(mode)
)
class CompatibilityFiles:
"""
Adapter for an existing or non-existent resource reader
to provide a compatibility .files().
"""
class SpecPath(abc.Traversable):
"""
Path tied to a module spec.
Can be read and exposes the resource reader children.
"""
def __init__(self, spec, reader):
self._spec = spec
self._reader = reader
def iterdir(self):
if not self._reader:
return iter(())
return iter(
CompatibilityFiles.ChildPath(self._reader, path)
for path in self._reader.contents()
)
def is_file(self):
return False
is_dir = is_file
def joinpath(self, other):
if not self._reader:
return CompatibilityFiles.OrphanPath(other)
return CompatibilityFiles.ChildPath(self._reader, other)
@property
def name(self):
return self._spec.name
def open(self, mode='r', *args, **kwargs):
return _io_wrapper(self._reader.open_resource(None), mode, *args, **kwargs)
class ChildPath(abc.Traversable):
"""
Path tied to a resource reader child.
Can be read but doesn't expose any meaningful children.
"""
def __init__(self, reader, name):
self._reader = reader
self._name = name
def iterdir(self):
return iter(())
def is_file(self):
return self._reader.is_resource(self.name)
def is_dir(self):
return not self.is_file()
def joinpath(self, other):
return CompatibilityFiles.OrphanPath(self.name, other)
@property
def name(self):
return self._name
def open(self, mode='r', *args, **kwargs):
return _io_wrapper(
self._reader.open_resource(self.name), mode, *args, **kwargs
)
class OrphanPath(abc.Traversable):
"""
Orphan path, not tied to a module spec or resource reader.
Can't be read and doesn't expose any meaningful children.
"""
def __init__(self, *path_parts):
if len(path_parts) < 1:
raise ValueError('Need at least one path part to construct a path')
self._path = path_parts
def iterdir(self):
return iter(())
def is_file(self):
return False
is_dir = is_file
def joinpath(self, other):
return CompatibilityFiles.OrphanPath(*self._path, other)
@property
def name(self):
return self._path[-1]
def open(self, mode='r', *args, **kwargs):
raise FileNotFoundError("Can't open orphan path")
def __init__(self, spec):
self.spec = spec
@property
def _reader(self):
with suppress(AttributeError):
return self.spec.loader.get_resource_reader(self.spec.name)
def _native(self):
"""
Return the native reader if it supports files().
"""
reader = self._reader
return reader if hasattr(reader, 'files') else self
def __getattr__(self, attr):
return getattr(self._reader, attr)
def files(self):
return CompatibilityFiles.SpecPath(self.spec, self._reader)
def wrap_spec(package):
"""
Construct a package spec with traversable compatibility
on the spec/loader/reader.
"""
return SpecLoaderAdapter(package.__spec__, TraversableResourcesLoader)
@@ -1,104 +0,0 @@
import os
import pathlib
import tempfile
import functools
import contextlib
import types
import importlib
from typing import Union, Optional
from .abc import ResourceReader, Traversable
from ._compat import wrap_spec
Package = Union[types.ModuleType, str]
def files(package):
# type: (Package) -> Traversable
"""
Get a Traversable resource from a package
"""
return from_package(get_package(package))
def get_resource_reader(package):
# type: (types.ModuleType) -> Optional[ResourceReader]
"""
Return the package's loader if it's a ResourceReader.
"""
# We can't use
# a issubclass() check here because apparently abc.'s __subclasscheck__()
# hook wants to create a weak reference to the object, but
# zipimport.zipimporter does not support weak references, resulting in a
# TypeError. That seems terrible.
spec = package.__spec__
reader = getattr(spec.loader, 'get_resource_reader', None) # type: ignore
if reader is None:
return None
return reader(spec.name) # type: ignore
def resolve(cand):
# type: (Package) -> types.ModuleType
return cand if isinstance(cand, types.ModuleType) else importlib.import_module(cand)
def get_package(package):
# type: (Package) -> types.ModuleType
"""Take a package name or module object and return the module.
Raise an exception if the resolved module is not a package.
"""
resolved = resolve(package)
if wrap_spec(resolved).submodule_search_locations is None:
raise TypeError(f'{package!r} is not a package')
return resolved
def from_package(package):
"""
Return a Traversable object for the given package.
"""
spec = wrap_spec(package)
reader = spec.loader.get_resource_reader(spec.name)
return reader.files()
@contextlib.contextmanager
def _tempfile(reader, suffix=''):
# Not using tempfile.NamedTemporaryFile as it leads to deeper 'try'
# blocks due to the need to close the temporary file to work on Windows
# properly.
fd, raw_path = tempfile.mkstemp(suffix=suffix)
try:
try:
os.write(fd, reader())
finally:
os.close(fd)
del reader
yield pathlib.Path(raw_path)
finally:
try:
os.remove(raw_path)
except FileNotFoundError:
pass
@functools.singledispatch
def as_file(path):
"""
Given a Traversable object, return that object as a
path on the local file system in a context manager.
"""
return _tempfile(path.read_bytes, suffix=path.name)
@as_file.register(pathlib.Path)
@contextlib.contextmanager
def _(path):
"""
Degenerate behavior for pathlib.Path objects.
"""
yield path
@@ -1,98 +0,0 @@
# flake8: noqa
import abc
import sys
import pathlib
from contextlib import suppress
if sys.version_info >= (3, 10):
from zipfile import Path as ZipPath # type: ignore
else:
from ..zipp import Path as ZipPath # type: ignore
try:
from typing import runtime_checkable # type: ignore
except ImportError:
def runtime_checkable(cls): # type: ignore
return cls
try:
from typing import Protocol # type: ignore
except ImportError:
Protocol = abc.ABC # type: ignore
class TraversableResourcesLoader:
"""
Adapt loaders to provide TraversableResources and other
compatibility.
Used primarily for Python 3.9 and earlier where the native
loaders do not yet implement TraversableResources.
"""
def __init__(self, spec):
self.spec = spec
@property
def path(self):
return self.spec.origin
def get_resource_reader(self, name):
from . import readers, _adapters
def _zip_reader(spec):
with suppress(AttributeError):
return readers.ZipReader(spec.loader, spec.name)
def _namespace_reader(spec):
with suppress(AttributeError, ValueError):
return readers.NamespaceReader(spec.submodule_search_locations)
def _available_reader(spec):
with suppress(AttributeError):
return spec.loader.get_resource_reader(spec.name)
def _native_reader(spec):
reader = _available_reader(spec)
return reader if hasattr(reader, 'files') else None
def _file_reader(spec):
try:
path = pathlib.Path(self.path)
except TypeError:
return None
if path.exists():
return readers.FileReader(self)
return (
# native reader if it supplies 'files'
_native_reader(self.spec)
or
# local ZipReader if a zip module
_zip_reader(self.spec)
or
# local NamespaceReader if a namespace module
_namespace_reader(self.spec)
or
# local FileReader
_file_reader(self.spec)
# fallback - adapt the spec ResourceReader to TraversableReader
or _adapters.CompatibilityFiles(self.spec)
)
def wrap_spec(package):
"""
Construct a package spec with traversable compatibility
on the spec/loader/reader.
Supersedes _adapters.wrap_spec to use TraversableResourcesLoader
from above for older Python compatibility (<3.10).
"""
from . import _adapters
return _adapters.SpecLoaderAdapter(package.__spec__, TraversableResourcesLoader)
@@ -1,35 +0,0 @@
from itertools import filterfalse
from typing import (
Callable,
Iterable,
Iterator,
Optional,
Set,
TypeVar,
Union,
)
# Type and type variable definitions
_T = TypeVar('_T')
_U = TypeVar('_U')
def unique_everseen(
iterable: Iterable[_T], key: Optional[Callable[[_T], _U]] = None
) -> Iterator[_T]:
"List unique elements, preserving order. Remember all elements ever seen."
# unique_everseen('AAAABBBCCDAABBB') --> A B C D
# unique_everseen('ABBCcAD', str.lower) --> A B C D
seen: Set[Union[_T, _U]] = set()
seen_add = seen.add
if key is None:
for element in filterfalse(seen.__contains__, iterable):
seen_add(element)
yield element
else:
for element in iterable:
k = key(element)
if k not in seen:
seen_add(k)
yield element
@@ -1,121 +0,0 @@
import functools
import os
import pathlib
import types
import warnings
from typing import Union, Iterable, ContextManager, BinaryIO, TextIO, Any
from . import _common
Package = Union[types.ModuleType, str]
Resource = str
def deprecated(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
warnings.warn(
f"{func.__name__} is deprecated. Use files() instead. "
"Refer to https://importlib-resources.readthedocs.io"
"/en/latest/using.html#migrating-from-legacy for migration advice.",
DeprecationWarning,
stacklevel=2,
)
return func(*args, **kwargs)
return wrapper
def normalize_path(path):
# type: (Any) -> str
"""Normalize a path by ensuring it is a string.
If the resulting string contains path separators, an exception is raised.
"""
str_path = str(path)
parent, file_name = os.path.split(str_path)
if parent:
raise ValueError(f'{path!r} must be only a file name')
return file_name
@deprecated
def open_binary(package: Package, resource: Resource) -> BinaryIO:
"""Return a file-like object opened for binary reading of the resource."""
return (_common.files(package) / normalize_path(resource)).open('rb')
@deprecated
def read_binary(package: Package, resource: Resource) -> bytes:
"""Return the binary contents of the resource."""
return (_common.files(package) / normalize_path(resource)).read_bytes()
@deprecated
def open_text(
package: Package,
resource: Resource,
encoding: str = 'utf-8',
errors: str = 'strict',
) -> TextIO:
"""Return a file-like object opened for text reading of the resource."""
return (_common.files(package) / normalize_path(resource)).open(
'r', encoding=encoding, errors=errors
)
@deprecated
def read_text(
package: Package,
resource: Resource,
encoding: str = 'utf-8',
errors: str = 'strict',
) -> str:
"""Return the decoded string of the resource.
The decoding-related arguments have the same semantics as those of
bytes.decode().
"""
with open_text(package, resource, encoding, errors) as fp:
return fp.read()
@deprecated
def contents(package: Package) -> Iterable[str]:
"""Return an iterable of entries in `package`.
Note that not all entries are resources. Specifically, directories are
not considered resources. Use `is_resource()` on each entry returned here
to check if it is a resource or not.
"""
return [path.name for path in _common.files(package).iterdir()]
@deprecated
def is_resource(package: Package, name: str) -> bool:
"""True if `name` is a resource inside `package`.
Directories are *not* resources.
"""
resource = normalize_path(name)
return any(
traversable.name == resource and traversable.is_file()
for traversable in _common.files(package).iterdir()
)
@deprecated
def path(
package: Package,
resource: Resource,
) -> ContextManager[pathlib.Path]:
"""A context manager providing a file path object to the resource.
If the resource does not already exist on its own on the file system,
a temporary file will be created. If the file was created, the file
will be deleted upon exiting the context manager (no exception is
raised if the file was deleted prior to the context manager
exiting).
"""
return _common.as_file(_common.files(package) / normalize_path(resource))
@@ -1,137 +0,0 @@
import abc
from typing import BinaryIO, Iterable, Text
from ._compat import runtime_checkable, Protocol
class ResourceReader(metaclass=abc.ABCMeta):
"""Abstract base class for loaders to provide resource reading support."""
@abc.abstractmethod
def open_resource(self, resource: Text) -> BinaryIO:
"""Return an opened, file-like object for binary reading.
The 'resource' argument is expected to represent only a file name.
If the resource cannot be found, FileNotFoundError is raised.
"""
# This deliberately raises FileNotFoundError instead of
# NotImplementedError so that if this method is accidentally called,
# it'll still do the right thing.
raise FileNotFoundError
@abc.abstractmethod
def resource_path(self, resource: Text) -> Text:
"""Return the file system path to the specified resource.
The 'resource' argument is expected to represent only a file name.
If the resource does not exist on the file system, raise
FileNotFoundError.
"""
# This deliberately raises FileNotFoundError instead of
# NotImplementedError so that if this method is accidentally called,
# it'll still do the right thing.
raise FileNotFoundError
@abc.abstractmethod
def is_resource(self, path: Text) -> bool:
"""Return True if the named 'path' is a resource.
Files are resources, directories are not.
"""
raise FileNotFoundError
@abc.abstractmethod
def contents(self) -> Iterable[str]:
"""Return an iterable of entries in `package`."""
raise FileNotFoundError
@runtime_checkable
class Traversable(Protocol):
"""
An object with a subset of pathlib.Path methods suitable for
traversing directories and opening files.
"""
@abc.abstractmethod
def iterdir(self):
"""
Yield Traversable objects in self
"""
def read_bytes(self):
"""
Read contents of self as bytes
"""
with self.open('rb') as strm:
return strm.read()
def read_text(self, encoding=None):
"""
Read contents of self as text
"""
with self.open(encoding=encoding) as strm:
return strm.read()
@abc.abstractmethod
def is_dir(self) -> bool:
"""
Return True if self is a directory
"""
@abc.abstractmethod
def is_file(self) -> bool:
"""
Return True if self is a file
"""
@abc.abstractmethod
def joinpath(self, child):
"""
Return Traversable child in self
"""
def __truediv__(self, child):
"""
Return Traversable child in self
"""
return self.joinpath(child)
@abc.abstractmethod
def open(self, mode='r', *args, **kwargs):
"""
mode may be 'r' or 'rb' to open as text or binary. Return a handle
suitable for reading (same as pathlib.Path.open).
When opening as text, accepts encoding parameters such as those
accepted by io.TextIOWrapper.
"""
@abc.abstractproperty
def name(self) -> str:
"""
The base name of this object without any parent references.
"""
class TraversableResources(ResourceReader):
"""
The required interface for providing traversable
resources.
"""
@abc.abstractmethod
def files(self):
"""Return a Traversable object for the loaded package."""
def open_resource(self, resource):
return self.files().joinpath(resource).open('rb')
def resource_path(self, resource):
raise FileNotFoundError(resource)
def is_resource(self, path):
return self.files().joinpath(path).is_file()
def contents(self):
return (item.name for item in self.files().iterdir())
@@ -1,122 +0,0 @@
import collections
import pathlib
import operator
from . import abc
from ._itertools import unique_everseen
from ._compat import ZipPath
def remove_duplicates(items):
return iter(collections.OrderedDict.fromkeys(items))
class FileReader(abc.TraversableResources):
def __init__(self, loader):
self.path = pathlib.Path(loader.path).parent
def resource_path(self, resource):
"""
Return the file system path to prevent
`resources.path()` from creating a temporary
copy.
"""
return str(self.path.joinpath(resource))
def files(self):
return self.path
class ZipReader(abc.TraversableResources):
def __init__(self, loader, module):
_, _, name = module.rpartition('.')
self.prefix = loader.prefix.replace('\\', '/') + name + '/'
self.archive = loader.archive
def open_resource(self, resource):
try:
return super().open_resource(resource)
except KeyError as exc:
raise FileNotFoundError(exc.args[0])
def is_resource(self, path):
# workaround for `zipfile.Path.is_file` returning true
# for non-existent paths.
target = self.files().joinpath(path)
return target.is_file() and target.exists()
def files(self):
return ZipPath(self.archive, self.prefix)
class MultiplexedPath(abc.Traversable):
"""
Given a series of Traversable objects, implement a merged
version of the interface across all objects. Useful for
namespace packages which may be multihomed at a single
name.
"""
def __init__(self, *paths):
self._paths = list(map(pathlib.Path, remove_duplicates(paths)))
if not self._paths:
message = 'MultiplexedPath must contain at least one path'
raise FileNotFoundError(message)
if not all(path.is_dir() for path in self._paths):
raise NotADirectoryError('MultiplexedPath only supports directories')
def iterdir(self):
files = (file for path in self._paths for file in path.iterdir())
return unique_everseen(files, key=operator.attrgetter('name'))
def read_bytes(self):
raise FileNotFoundError(f'{self} is not a file')
def read_text(self, *args, **kwargs):
raise FileNotFoundError(f'{self} is not a file')
def is_dir(self):
return True
def is_file(self):
return False
def joinpath(self, child):
# first try to find child in current paths
for file in self.iterdir():
if file.name == child:
return file
# if it does not exist, construct it with the first path
return self._paths[0] / child
__truediv__ = joinpath
def open(self, *args, **kwargs):
raise FileNotFoundError(f'{self} is not a file')
@property
def name(self):
return self._paths[0].name
def __repr__(self):
paths = ', '.join(f"'{path}'" for path in self._paths)
return f'MultiplexedPath({paths})'
class NamespaceReader(abc.TraversableResources):
def __init__(self, namespace_path):
if 'NamespacePath' not in str(namespace_path):
raise ValueError('Invalid path')
self.path = MultiplexedPath(*list(namespace_path))
def resource_path(self, resource):
"""
Return the file system path to prevent
`resources.path()` from creating a temporary
copy.
"""
return str(self.path.joinpath(resource))
def files(self):
return self.path
@@ -1,116 +0,0 @@
"""
Interface adapters for low-level readers.
"""
import abc
import io
import itertools
from typing import BinaryIO, List
from .abc import Traversable, TraversableResources
class SimpleReader(abc.ABC):
"""
The minimum, low-level interface required from a resource
provider.
"""
@abc.abstractproperty
def package(self):
# type: () -> str
"""
The name of the package for which this reader loads resources.
"""
@abc.abstractmethod
def children(self):
# type: () -> List['SimpleReader']
"""
Obtain an iterable of SimpleReader for available
child containers (e.g. directories).
"""
@abc.abstractmethod
def resources(self):
# type: () -> List[str]
"""
Obtain available named resources for this virtual package.
"""
@abc.abstractmethod
def open_binary(self, resource):
# type: (str) -> BinaryIO
"""
Obtain a File-like for a named resource.
"""
@property
def name(self):
return self.package.split('.')[-1]
class ResourceHandle(Traversable):
"""
Handle to a named resource in a ResourceReader.
"""
def __init__(self, parent, name):
# type: (ResourceContainer, str) -> None
self.parent = parent
self.name = name # type: ignore
def is_file(self):
return True
def is_dir(self):
return False
def open(self, mode='r', *args, **kwargs):
stream = self.parent.reader.open_binary(self.name)
if 'b' not in mode:
stream = io.TextIOWrapper(*args, **kwargs)
return stream
def joinpath(self, name):
raise RuntimeError("Cannot traverse into a resource")
class ResourceContainer(Traversable):
"""
Traversable container for a package's resources via its reader.
"""
def __init__(self, reader):
# type: (SimpleReader) -> None
self.reader = reader
def is_dir(self):
return True
def is_file(self):
return False
def iterdir(self):
files = (ResourceHandle(self, name) for name in self.reader.resources)
dirs = map(ResourceContainer, self.reader.children())
return itertools.chain(files, dirs)
def open(self, *args, **kwargs):
raise IsADirectoryError()
def joinpath(self, name):
return next(
traversable for traversable in self.iterdir() if traversable.name == name
)
class TraversableReader(TraversableResources, SimpleReader):
"""
A TraversableResources based on SimpleReader. Resource providers
may derive from this class to provide the TraversableResources
interface by supplying the SimpleReader interface.
"""
def files(self):
return ResourceContainer(self)
@@ -1,253 +0,0 @@
import os
import subprocess
import contextlib
import functools
import tempfile
import shutil
import operator
@contextlib.contextmanager
def pushd(dir):
orig = os.getcwd()
os.chdir(dir)
try:
yield dir
finally:
os.chdir(orig)
@contextlib.contextmanager
def tarball_context(url, target_dir=None, runner=None, pushd=pushd):
"""
Get a tarball, extract it, change to that directory, yield, then
clean up.
`runner` is the function to invoke commands.
`pushd` is a context manager for changing the directory.
"""
if target_dir is None:
target_dir = os.path.basename(url).replace('.tar.gz', '').replace('.tgz', '')
if runner is None:
runner = functools.partial(subprocess.check_call, shell=True)
# In the tar command, use --strip-components=1 to strip the first path and
# then
# use -C to cause the files to be extracted to {target_dir}. This ensures
# that we always know where the files were extracted.
runner('mkdir {target_dir}'.format(**vars()))
try:
getter = 'wget {url} -O -'
extract = 'tar x{compression} --strip-components=1 -C {target_dir}'
cmd = ' | '.join((getter, extract))
runner(cmd.format(compression=infer_compression(url), **vars()))
with pushd(target_dir):
yield target_dir
finally:
runner('rm -Rf {target_dir}'.format(**vars()))
def infer_compression(url):
"""
Given a URL or filename, infer the compression code for tar.
"""
# cheat and just assume it's the last two characters
compression_indicator = url[-2:]
mapping = dict(gz='z', bz='j', xz='J')
# Assume 'z' (gzip) if no match
return mapping.get(compression_indicator, 'z')
@contextlib.contextmanager
def temp_dir(remover=shutil.rmtree):
"""
Create a temporary directory context. Pass a custom remover
to override the removal behavior.
"""
temp_dir = tempfile.mkdtemp()
try:
yield temp_dir
finally:
remover(temp_dir)
@contextlib.contextmanager
def repo_context(url, branch=None, quiet=True, dest_ctx=temp_dir):
"""
Check out the repo indicated by url.
If dest_ctx is supplied, it should be a context manager
to yield the target directory for the check out.
"""
exe = 'git' if 'git' in url else 'hg'
with dest_ctx() as repo_dir:
cmd = [exe, 'clone', url, repo_dir]
if branch:
cmd.extend(['--branch', branch])
devnull = open(os.path.devnull, 'w')
stdout = devnull if quiet else None
subprocess.check_call(cmd, stdout=stdout)
yield repo_dir
@contextlib.contextmanager
def null():
yield
class ExceptionTrap:
"""
A context manager that will catch certain exceptions and provide an
indication they occurred.
>>> with ExceptionTrap() as trap:
... raise Exception()
>>> bool(trap)
True
>>> with ExceptionTrap() as trap:
... pass
>>> bool(trap)
False
>>> with ExceptionTrap(ValueError) as trap:
... raise ValueError("1 + 1 is not 3")
>>> bool(trap)
True
>>> with ExceptionTrap(ValueError) as trap:
... raise Exception()
Traceback (most recent call last):
...
Exception
>>> bool(trap)
False
"""
exc_info = None, None, None
def __init__(self, exceptions=(Exception,)):
self.exceptions = exceptions
def __enter__(self):
return self
@property
def type(self):
return self.exc_info[0]
@property
def value(self):
return self.exc_info[1]
@property
def tb(self):
return self.exc_info[2]
def __exit__(self, *exc_info):
type = exc_info[0]
matches = type and issubclass(type, self.exceptions)
if matches:
self.exc_info = exc_info
return matches
def __bool__(self):
return bool(self.type)
def raises(self, func, *, _test=bool):
"""
Wrap func and replace the result with the truth
value of the trap (True if an exception occurred).
First, give the decorator an alias to support Python 3.8
Syntax.
>>> raises = ExceptionTrap(ValueError).raises
Now decorate a function that always fails.
>>> @raises
... def fail():
... raise ValueError('failed')
>>> fail()
True
"""
@functools.wraps(func)
def wrapper(*args, **kwargs):
with ExceptionTrap(self.exceptions) as trap:
func(*args, **kwargs)
return _test(trap)
return wrapper
def passes(self, func):
"""
Wrap func and replace the result with the truth
value of the trap (True if no exception).
First, give the decorator an alias to support Python 3.8
Syntax.
>>> passes = ExceptionTrap(ValueError).passes
Now decorate a function that always fails.
>>> @passes
... def fail():
... raise ValueError('failed')
>>> fail()
False
"""
return self.raises(func, _test=operator.not_)
class suppress(contextlib.suppress, contextlib.ContextDecorator):
"""
A version of contextlib.suppress with decorator support.
>>> @suppress(KeyError)
... def key_error():
... {}['']
>>> key_error()
"""
class on_interrupt(contextlib.ContextDecorator):
"""
Replace a KeyboardInterrupt with SystemExit(1)
>>> def do_interrupt():
... raise KeyboardInterrupt()
>>> on_interrupt('error')(do_interrupt)()
Traceback (most recent call last):
...
SystemExit: 1
>>> on_interrupt('error', code=255)(do_interrupt)()
Traceback (most recent call last):
...
SystemExit: 255
>>> on_interrupt('suppress')(do_interrupt)()
>>> with __import__('pytest').raises(KeyboardInterrupt):
... on_interrupt('ignore')(do_interrupt)()
"""
def __init__(
self,
action='error',
# py3.7 compat
# /,
code=1,
):
self.action = action
self.code = code
def __enter__(self):
return self
def __exit__(self, exctype, excinst, exctb):
if exctype is not KeyboardInterrupt or self.action == 'ignore':
return
elif self.action == 'error':
raise SystemExit(self.code) from excinst
return self.action == 'suppress'
@@ -1,525 +0,0 @@
import functools
import time
import inspect
import collections
import types
import itertools
import setuptools.extern.more_itertools
from typing import Callable, TypeVar
CallableT = TypeVar("CallableT", bound=Callable[..., object])
def compose(*funcs):
"""
Compose any number of unary functions into a single unary function.
>>> import textwrap
>>> expected = str.strip(textwrap.dedent(compose.__doc__))
>>> strip_and_dedent = compose(str.strip, textwrap.dedent)
>>> strip_and_dedent(compose.__doc__) == expected
True
Compose also allows the innermost function to take arbitrary arguments.
>>> round_three = lambda x: round(x, ndigits=3)
>>> f = compose(round_three, int.__truediv__)
>>> [f(3*x, x+1) for x in range(1,10)]
[1.5, 2.0, 2.25, 2.4, 2.5, 2.571, 2.625, 2.667, 2.7]
"""
def compose_two(f1, f2):
return lambda *args, **kwargs: f1(f2(*args, **kwargs))
return functools.reduce(compose_two, funcs)
def method_caller(method_name, *args, **kwargs):
"""
Return a function that will call a named method on the
target object with optional positional and keyword
arguments.
>>> lower = method_caller('lower')
>>> lower('MyString')
'mystring'
"""
def call_method(target):
func = getattr(target, method_name)
return func(*args, **kwargs)
return call_method
def once(func):
"""
Decorate func so it's only ever called the first time.
This decorator can ensure that an expensive or non-idempotent function
will not be expensive on subsequent calls and is idempotent.
>>> add_three = once(lambda a: a+3)
>>> add_three(3)
6
>>> add_three(9)
6
>>> add_three('12')
6
To reset the stored value, simply clear the property ``saved_result``.
>>> del add_three.saved_result
>>> add_three(9)
12
>>> add_three(8)
12
Or invoke 'reset()' on it.
>>> add_three.reset()
>>> add_three(-3)
0
>>> add_three(0)
0
"""
@functools.wraps(func)
def wrapper(*args, **kwargs):
if not hasattr(wrapper, 'saved_result'):
wrapper.saved_result = func(*args, **kwargs)
return wrapper.saved_result
wrapper.reset = lambda: vars(wrapper).__delitem__('saved_result')
return wrapper
def method_cache(
method: CallableT,
cache_wrapper: Callable[
[CallableT], CallableT
] = functools.lru_cache(), # type: ignore[assignment]
) -> CallableT:
"""
Wrap lru_cache to support storing the cache data in the object instances.
Abstracts the common paradigm where the method explicitly saves an
underscore-prefixed protected property on first call and returns that
subsequently.
>>> class MyClass:
... calls = 0
...
... @method_cache
... def method(self, value):
... self.calls += 1
... return value
>>> a = MyClass()
>>> a.method(3)
3
>>> for x in range(75):
... res = a.method(x)
>>> a.calls
75
Note that the apparent behavior will be exactly like that of lru_cache
except that the cache is stored on each instance, so values in one
instance will not flush values from another, and when an instance is
deleted, so are the cached values for that instance.
>>> b = MyClass()
>>> for x in range(35):
... res = b.method(x)
>>> b.calls
35
>>> a.method(0)
0
>>> a.calls
75
Note that if method had been decorated with ``functools.lru_cache()``,
a.calls would have been 76 (due to the cached value of 0 having been
flushed by the 'b' instance).
Clear the cache with ``.cache_clear()``
>>> a.method.cache_clear()
Same for a method that hasn't yet been called.
>>> c = MyClass()
>>> c.method.cache_clear()
Another cache wrapper may be supplied:
>>> cache = functools.lru_cache(maxsize=2)
>>> MyClass.method2 = method_cache(lambda self: 3, cache_wrapper=cache)
>>> a = MyClass()
>>> a.method2()
3
Caution - do not subsequently wrap the method with another decorator, such
as ``@property``, which changes the semantics of the function.
See also
http://code.activestate.com/recipes/577452-a-memoize-decorator-for-instance-methods/
for another implementation and additional justification.
"""
def wrapper(self: object, *args: object, **kwargs: object) -> object:
# it's the first call, replace the method with a cached, bound method
bound_method: CallableT = types.MethodType( # type: ignore[assignment]
method, self
)
cached_method = cache_wrapper(bound_method)
setattr(self, method.__name__, cached_method)
return cached_method(*args, **kwargs)
# Support cache clear even before cache has been created.
wrapper.cache_clear = lambda: None # type: ignore[attr-defined]
return ( # type: ignore[return-value]
_special_method_cache(method, cache_wrapper) or wrapper
)
def _special_method_cache(method, cache_wrapper):
"""
Because Python treats special methods differently, it's not
possible to use instance attributes to implement the cached
methods.
Instead, install the wrapper method under a different name
and return a simple proxy to that wrapper.
https://github.com/jaraco/jaraco.functools/issues/5
"""
name = method.__name__
special_names = '__getattr__', '__getitem__'
if name not in special_names:
return
wrapper_name = '__cached' + name
def proxy(self, *args, **kwargs):
if wrapper_name not in vars(self):
bound = types.MethodType(method, self)
cache = cache_wrapper(bound)
setattr(self, wrapper_name, cache)
else:
cache = getattr(self, wrapper_name)
return cache(*args, **kwargs)
return proxy
def apply(transform):
"""
Decorate a function with a transform function that is
invoked on results returned from the decorated function.
>>> @apply(reversed)
... def get_numbers(start):
... "doc for get_numbers"
... return range(start, start+3)
>>> list(get_numbers(4))
[6, 5, 4]
>>> get_numbers.__doc__
'doc for get_numbers'
"""
def wrap(func):
return functools.wraps(func)(compose(transform, func))
return wrap
def result_invoke(action):
r"""
Decorate a function with an action function that is
invoked on the results returned from the decorated
function (for its side-effect), then return the original
result.
>>> @result_invoke(print)
... def add_two(a, b):
... return a + b
>>> x = add_two(2, 3)
5
>>> x
5
"""
def wrap(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
result = func(*args, **kwargs)
action(result)
return result
return wrapper
return wrap
def call_aside(f, *args, **kwargs):
"""
Call a function for its side effect after initialization.
>>> @call_aside
... def func(): print("called")
called
>>> func()
called
Use functools.partial to pass parameters to the initial call
>>> @functools.partial(call_aside, name='bingo')
... def func(name): print("called with", name)
called with bingo
"""
f(*args, **kwargs)
return f
class Throttler:
"""
Rate-limit a function (or other callable)
"""
def __init__(self, func, max_rate=float('Inf')):
if isinstance(func, Throttler):
func = func.func
self.func = func
self.max_rate = max_rate
self.reset()
def reset(self):
self.last_called = 0
def __call__(self, *args, **kwargs):
self._wait()
return self.func(*args, **kwargs)
def _wait(self):
"ensure at least 1/max_rate seconds from last call"
elapsed = time.time() - self.last_called
must_wait = 1 / self.max_rate - elapsed
time.sleep(max(0, must_wait))
self.last_called = time.time()
def __get__(self, obj, type=None):
return first_invoke(self._wait, functools.partial(self.func, obj))
def first_invoke(func1, func2):
"""
Return a function that when invoked will invoke func1 without
any parameters (for its side-effect) and then invoke func2
with whatever parameters were passed, returning its result.
"""
def wrapper(*args, **kwargs):
func1()
return func2(*args, **kwargs)
return wrapper
def retry_call(func, cleanup=lambda: None, retries=0, trap=()):
"""
Given a callable func, trap the indicated exceptions
for up to 'retries' times, invoking cleanup on the
exception. On the final attempt, allow any exceptions
to propagate.
"""
attempts = itertools.count() if retries == float('inf') else range(retries)
for attempt in attempts:
try:
return func()
except trap:
cleanup()
return func()
def retry(*r_args, **r_kwargs):
"""
Decorator wrapper for retry_call. Accepts arguments to retry_call
except func and then returns a decorator for the decorated function.
Ex:
>>> @retry(retries=3)
... def my_func(a, b):
... "this is my funk"
... print(a, b)
>>> my_func.__doc__
'this is my funk'
"""
def decorate(func):
@functools.wraps(func)
def wrapper(*f_args, **f_kwargs):
bound = functools.partial(func, *f_args, **f_kwargs)
return retry_call(bound, *r_args, **r_kwargs)
return wrapper
return decorate
def print_yielded(func):
"""
Convert a generator into a function that prints all yielded elements
>>> @print_yielded
... def x():
... yield 3; yield None
>>> x()
3
None
"""
print_all = functools.partial(map, print)
print_results = compose(more_itertools.consume, print_all, func)
return functools.wraps(func)(print_results)
def pass_none(func):
"""
Wrap func so it's not called if its first param is None
>>> print_text = pass_none(print)
>>> print_text('text')
text
>>> print_text(None)
"""
@functools.wraps(func)
def wrapper(param, *args, **kwargs):
if param is not None:
return func(param, *args, **kwargs)
return wrapper
def assign_params(func, namespace):
"""
Assign parameters from namespace where func solicits.
>>> def func(x, y=3):
... print(x, y)
>>> assigned = assign_params(func, dict(x=2, z=4))
>>> assigned()
2 3
The usual errors are raised if a function doesn't receive
its required parameters:
>>> assigned = assign_params(func, dict(y=3, z=4))
>>> assigned()
Traceback (most recent call last):
TypeError: func() ...argument...
It even works on methods:
>>> class Handler:
... def meth(self, arg):
... print(arg)
>>> assign_params(Handler().meth, dict(arg='crystal', foo='clear'))()
crystal
"""
sig = inspect.signature(func)
params = sig.parameters.keys()
call_ns = {k: namespace[k] for k in params if k in namespace}
return functools.partial(func, **call_ns)
def save_method_args(method):
"""
Wrap a method such that when it is called, the args and kwargs are
saved on the method.
>>> class MyClass:
... @save_method_args
... def method(self, a, b):
... print(a, b)
>>> my_ob = MyClass()
>>> my_ob.method(1, 2)
1 2
>>> my_ob._saved_method.args
(1, 2)
>>> my_ob._saved_method.kwargs
{}
>>> my_ob.method(a=3, b='foo')
3 foo
>>> my_ob._saved_method.args
()
>>> my_ob._saved_method.kwargs == dict(a=3, b='foo')
True
The arguments are stored on the instance, allowing for
different instance to save different args.
>>> your_ob = MyClass()
>>> your_ob.method({str('x'): 3}, b=[4])
{'x': 3} [4]
>>> your_ob._saved_method.args
({'x': 3},)
>>> my_ob._saved_method.args
()
"""
args_and_kwargs = collections.namedtuple('args_and_kwargs', 'args kwargs')
@functools.wraps(method)
def wrapper(self, *args, **kwargs):
attr_name = '_saved_' + method.__name__
attr = args_and_kwargs(args, kwargs)
setattr(self, attr_name, attr)
return method(self, *args, **kwargs)
return wrapper
def except_(*exceptions, replace=None, use=None):
"""
Replace the indicated exceptions, if raised, with the indicated
literal replacement or evaluated expression (if present).
>>> safe_int = except_(ValueError)(int)
>>> safe_int('five')
>>> safe_int('5')
5
Specify a literal replacement with ``replace``.
>>> safe_int_r = except_(ValueError, replace=0)(int)
>>> safe_int_r('five')
0
Provide an expression to ``use`` to pass through particular parameters.
>>> safe_int_pt = except_(ValueError, use='args[0]')(int)
>>> safe_int_pt('five')
'five'
"""
def decorate(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
try:
return func(*args, **kwargs)
except exceptions:
try:
return eval(use)
except TypeError:
return replace
return wrapper
return decorate
@@ -1,599 +0,0 @@
import re
import itertools
import textwrap
import functools
try:
from importlib.resources import files # type: ignore
except ImportError: # pragma: nocover
from setuptools.extern.importlib_resources import files # type: ignore
from setuptools.extern.jaraco.functools import compose, method_cache
from setuptools.extern.jaraco.context import ExceptionTrap
def substitution(old, new):
"""
Return a function that will perform a substitution on a string
"""
return lambda s: s.replace(old, new)
def multi_substitution(*substitutions):
"""
Take a sequence of pairs specifying substitutions, and create
a function that performs those substitutions.
>>> multi_substitution(('foo', 'bar'), ('bar', 'baz'))('foo')
'baz'
"""
substitutions = itertools.starmap(substitution, substitutions)
# compose function applies last function first, so reverse the
# substitutions to get the expected order.
substitutions = reversed(tuple(substitutions))
return compose(*substitutions)
class FoldedCase(str):
"""
A case insensitive string class; behaves just like str
except compares equal when the only variation is case.
>>> s = FoldedCase('hello world')
>>> s == 'Hello World'
True
>>> 'Hello World' == s
True
>>> s != 'Hello World'
False
>>> s.index('O')
4
>>> s.split('O')
['hell', ' w', 'rld']
>>> sorted(map(FoldedCase, ['GAMMA', 'alpha', 'Beta']))
['alpha', 'Beta', 'GAMMA']
Sequence membership is straightforward.
>>> "Hello World" in [s]
True
>>> s in ["Hello World"]
True
You may test for set inclusion, but candidate and elements
must both be folded.
>>> FoldedCase("Hello World") in {s}
True
>>> s in {FoldedCase("Hello World")}
True
String inclusion works as long as the FoldedCase object
is on the right.
>>> "hello" in FoldedCase("Hello World")
True
But not if the FoldedCase object is on the left:
>>> FoldedCase('hello') in 'Hello World'
False
In that case, use ``in_``:
>>> FoldedCase('hello').in_('Hello World')
True
>>> FoldedCase('hello') > FoldedCase('Hello')
False
"""
def __lt__(self, other):
return self.lower() < other.lower()
def __gt__(self, other):
return self.lower() > other.lower()
def __eq__(self, other):
return self.lower() == other.lower()
def __ne__(self, other):
return self.lower() != other.lower()
def __hash__(self):
return hash(self.lower())
def __contains__(self, other):
return super().lower().__contains__(other.lower())
def in_(self, other):
"Does self appear in other?"
return self in FoldedCase(other)
# cache lower since it's likely to be called frequently.
@method_cache
def lower(self):
return super().lower()
def index(self, sub):
return self.lower().index(sub.lower())
def split(self, splitter=' ', maxsplit=0):
pattern = re.compile(re.escape(splitter), re.I)
return pattern.split(self, maxsplit)
# Python 3.8 compatibility
_unicode_trap = ExceptionTrap(UnicodeDecodeError)
@_unicode_trap.passes
def is_decodable(value):
r"""
Return True if the supplied value is decodable (using the default
encoding).
>>> is_decodable(b'\xff')
False
>>> is_decodable(b'\x32')
True
"""
value.decode()
def is_binary(value):
r"""
Return True if the value appears to be binary (that is, it's a byte
string and isn't decodable).
>>> is_binary(b'\xff')
True
>>> is_binary('\xff')
False
"""
return isinstance(value, bytes) and not is_decodable(value)
def trim(s):
r"""
Trim something like a docstring to remove the whitespace that
is common due to indentation and formatting.
>>> trim("\n\tfoo = bar\n\t\tbar = baz\n")
'foo = bar\n\tbar = baz'
"""
return textwrap.dedent(s).strip()
def wrap(s):
"""
Wrap lines of text, retaining existing newlines as
paragraph markers.
>>> print(wrap(lorem_ipsum))
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do
eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad
minim veniam, quis nostrud exercitation ullamco laboris nisi ut
aliquip ex ea commodo consequat. Duis aute irure dolor in
reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla
pariatur. Excepteur sint occaecat cupidatat non proident, sunt in
culpa qui officia deserunt mollit anim id est laborum.
<BLANKLINE>
Curabitur pretium tincidunt lacus. Nulla gravida orci a odio. Nullam
varius, turpis et commodo pharetra, est eros bibendum elit, nec luctus
magna felis sollicitudin mauris. Integer in mauris eu nibh euismod
gravida. Duis ac tellus et risus vulputate vehicula. Donec lobortis
risus a elit. Etiam tempor. Ut ullamcorper, ligula eu tempor congue,
eros est euismod turpis, id tincidunt sapien risus a quam. Maecenas
fermentum consequat mi. Donec fermentum. Pellentesque malesuada nulla
a mi. Duis sapien sem, aliquet nec, commodo eget, consequat quis,
neque. Aliquam faucibus, elit ut dictum aliquet, felis nisl adipiscing
sapien, sed malesuada diam lacus eget erat. Cras mollis scelerisque
nunc. Nullam arcu. Aliquam consequat. Curabitur augue lorem, dapibus
quis, laoreet et, pretium ac, nisi. Aenean magna nisl, mollis quis,
molestie eu, feugiat in, orci. In hac habitasse platea dictumst.
"""
paragraphs = s.splitlines()
wrapped = ('\n'.join(textwrap.wrap(para)) for para in paragraphs)
return '\n\n'.join(wrapped)
def unwrap(s):
r"""
Given a multi-line string, return an unwrapped version.
>>> wrapped = wrap(lorem_ipsum)
>>> wrapped.count('\n')
20
>>> unwrapped = unwrap(wrapped)
>>> unwrapped.count('\n')
1
>>> print(unwrapped)
Lorem ipsum dolor sit amet, consectetur adipiscing ...
Curabitur pretium tincidunt lacus. Nulla gravida orci ...
"""
paragraphs = re.split(r'\n\n+', s)
cleaned = (para.replace('\n', ' ') for para in paragraphs)
return '\n'.join(cleaned)
class Splitter(object):
"""object that will split a string with the given arguments for each call
>>> s = Splitter(',')
>>> s('hello, world, this is your, master calling')
['hello', ' world', ' this is your', ' master calling']
"""
def __init__(self, *args):
self.args = args
def __call__(self, s):
return s.split(*self.args)
def indent(string, prefix=' ' * 4):
"""
>>> indent('foo')
' foo'
"""
return prefix + string
class WordSet(tuple):
"""
Given an identifier, return the words that identifier represents,
whether in camel case, underscore-separated, etc.
>>> WordSet.parse("camelCase")
('camel', 'Case')
>>> WordSet.parse("under_sep")
('under', 'sep')
Acronyms should be retained
>>> WordSet.parse("firstSNL")
('first', 'SNL')
>>> WordSet.parse("you_and_I")
('you', 'and', 'I')
>>> WordSet.parse("A simple test")
('A', 'simple', 'test')
Multiple caps should not interfere with the first cap of another word.
>>> WordSet.parse("myABCClass")
('my', 'ABC', 'Class')
The result is a WordSet, so you can get the form you need.
>>> WordSet.parse("myABCClass").underscore_separated()
'my_ABC_Class'
>>> WordSet.parse('a-command').camel_case()
'ACommand'
>>> WordSet.parse('someIdentifier').lowered().space_separated()
'some identifier'
Slices of the result should return another WordSet.
>>> WordSet.parse('taken-out-of-context')[1:].underscore_separated()
'out_of_context'
>>> WordSet.from_class_name(WordSet()).lowered().space_separated()
'word set'
>>> example = WordSet.parse('figured it out')
>>> example.headless_camel_case()
'figuredItOut'
>>> example.dash_separated()
'figured-it-out'
"""
_pattern = re.compile('([A-Z]?[a-z]+)|([A-Z]+(?![a-z]))')
def capitalized(self):
return WordSet(word.capitalize() for word in self)
def lowered(self):
return WordSet(word.lower() for word in self)
def camel_case(self):
return ''.join(self.capitalized())
def headless_camel_case(self):
words = iter(self)
first = next(words).lower()
new_words = itertools.chain((first,), WordSet(words).camel_case())
return ''.join(new_words)
def underscore_separated(self):
return '_'.join(self)
def dash_separated(self):
return '-'.join(self)
def space_separated(self):
return ' '.join(self)
def trim_right(self, item):
"""
Remove the item from the end of the set.
>>> WordSet.parse('foo bar').trim_right('foo')
('foo', 'bar')
>>> WordSet.parse('foo bar').trim_right('bar')
('foo',)
>>> WordSet.parse('').trim_right('bar')
()
"""
return self[:-1] if self and self[-1] == item else self
def trim_left(self, item):
"""
Remove the item from the beginning of the set.
>>> WordSet.parse('foo bar').trim_left('foo')
('bar',)
>>> WordSet.parse('foo bar').trim_left('bar')
('foo', 'bar')
>>> WordSet.parse('').trim_left('bar')
()
"""
return self[1:] if self and self[0] == item else self
def trim(self, item):
"""
>>> WordSet.parse('foo bar').trim('foo')
('bar',)
"""
return self.trim_left(item).trim_right(item)
def __getitem__(self, item):
result = super(WordSet, self).__getitem__(item)
if isinstance(item, slice):
result = WordSet(result)
return result
@classmethod
def parse(cls, identifier):
matches = cls._pattern.finditer(identifier)
return WordSet(match.group(0) for match in matches)
@classmethod
def from_class_name(cls, subject):
return cls.parse(subject.__class__.__name__)
# for backward compatibility
words = WordSet.parse
def simple_html_strip(s):
r"""
Remove HTML from the string `s`.
>>> str(simple_html_strip(''))
''
>>> print(simple_html_strip('A <bold>stormy</bold> day in paradise'))
A stormy day in paradise
>>> print(simple_html_strip('Somebody <!-- do not --> tell the truth.'))
Somebody tell the truth.
>>> print(simple_html_strip('What about<br/>\nmultiple lines?'))
What about
multiple lines?
"""
html_stripper = re.compile('(<!--.*?-->)|(<[^>]*>)|([^<]+)', re.DOTALL)
texts = (match.group(3) or '' for match in html_stripper.finditer(s))
return ''.join(texts)
class SeparatedValues(str):
"""
A string separated by a separator. Overrides __iter__ for getting
the values.
>>> list(SeparatedValues('a,b,c'))
['a', 'b', 'c']
Whitespace is stripped and empty values are discarded.
>>> list(SeparatedValues(' a, b , c, '))
['a', 'b', 'c']
"""
separator = ','
def __iter__(self):
parts = self.split(self.separator)
return filter(None, (part.strip() for part in parts))
class Stripper:
r"""
Given a series of lines, find the common prefix and strip it from them.
>>> lines = [
... 'abcdefg\n',
... 'abc\n',
... 'abcde\n',
... ]
>>> res = Stripper.strip_prefix(lines)
>>> res.prefix
'abc'
>>> list(res.lines)
['defg\n', '\n', 'de\n']
If no prefix is common, nothing should be stripped.
>>> lines = [
... 'abcd\n',
... '1234\n',
... ]
>>> res = Stripper.strip_prefix(lines)
>>> res.prefix = ''
>>> list(res.lines)
['abcd\n', '1234\n']
"""
def __init__(self, prefix, lines):
self.prefix = prefix
self.lines = map(self, lines)
@classmethod
def strip_prefix(cls, lines):
prefix_lines, lines = itertools.tee(lines)
prefix = functools.reduce(cls.common_prefix, prefix_lines)
return cls(prefix, lines)
def __call__(self, line):
if not self.prefix:
return line
null, prefix, rest = line.partition(self.prefix)
return rest
@staticmethod
def common_prefix(s1, s2):
"""
Return the common prefix of two lines.
"""
index = min(len(s1), len(s2))
while s1[:index] != s2[:index]:
index -= 1
return s1[:index]
def remove_prefix(text, prefix):
"""
Remove the prefix from the text if it exists.
>>> remove_prefix('underwhelming performance', 'underwhelming ')
'performance'
>>> remove_prefix('something special', 'sample')
'something special'
"""
null, prefix, rest = text.rpartition(prefix)
return rest
def remove_suffix(text, suffix):
"""
Remove the suffix from the text if it exists.
>>> remove_suffix('name.git', '.git')
'name'
>>> remove_suffix('something special', 'sample')
'something special'
"""
rest, suffix, null = text.partition(suffix)
return rest
def normalize_newlines(text):
r"""
Replace alternate newlines with the canonical newline.
>>> normalize_newlines('Lorem Ipsum\u2029')
'Lorem Ipsum\n'
>>> normalize_newlines('Lorem Ipsum\r\n')
'Lorem Ipsum\n'
>>> normalize_newlines('Lorem Ipsum\x85')
'Lorem Ipsum\n'
"""
newlines = ['\r\n', '\r', '\n', '\u0085', '\u2028', '\u2029']
pattern = '|'.join(newlines)
return re.sub(pattern, '\n', text)
def _nonblank(str):
return str and not str.startswith('#')
@functools.singledispatch
def yield_lines(iterable):
r"""
Yield valid lines of a string or iterable.
>>> list(yield_lines(''))
[]
>>> list(yield_lines(['foo', 'bar']))
['foo', 'bar']
>>> list(yield_lines('foo\nbar'))
['foo', 'bar']
>>> list(yield_lines('\nfoo\n#bar\nbaz #comment'))
['foo', 'baz #comment']
>>> list(yield_lines(['foo\nbar', 'baz', 'bing\n\n\n']))
['foo', 'bar', 'baz', 'bing']
"""
return itertools.chain.from_iterable(map(yield_lines, iterable))
@yield_lines.register(str)
def _(text):
return filter(_nonblank, map(str.strip, text.splitlines()))
def drop_comment(line):
"""
Drop comments.
>>> drop_comment('foo # bar')
'foo'
A hash without a space may be in a URL.
>>> drop_comment('http://example.com/foo#bar')
'http://example.com/foo#bar'
"""
return line.partition(' #')[0]
def join_continuation(lines):
r"""
Join lines continued by a trailing backslash.
>>> list(join_continuation(['foo \\', 'bar', 'baz']))
['foobar', 'baz']
>>> list(join_continuation(['foo \\', 'bar', 'baz']))
['foobar', 'baz']
>>> list(join_continuation(['foo \\', 'bar \\', 'baz']))
['foobarbaz']
Not sure why, but...
The character preceeding the backslash is also elided.
>>> list(join_continuation(['goo\\', 'dly']))
['godly']
A terrible idea, but...
If no line is available to continue, suppress the lines.
>>> list(join_continuation(['foo', 'bar\\', 'baz\\']))
['foo']
"""
lines = iter(lines)
for item in lines:
while item.endswith('\\'):
try:
item = item[:-2].strip() + next(lines)
except StopIteration:
return
yield item
@@ -1,4 +0,0 @@
from .more import * # noqa
from .recipes import * # noqa
__version__ = '8.8.0'
File diff suppressed because it is too large Load Diff
@@ -1,620 +0,0 @@
"""Imported from the recipes section of the itertools documentation.
All functions taken from the recipes section of the itertools library docs
[1]_.
Some backward-compatible usability improvements have been made.
.. [1] http://docs.python.org/library/itertools.html#recipes
"""
import warnings
from collections import deque
from itertools import (
chain,
combinations,
count,
cycle,
groupby,
islice,
repeat,
starmap,
tee,
zip_longest,
)
import operator
from random import randrange, sample, choice
__all__ = [
'all_equal',
'consume',
'convolve',
'dotproduct',
'first_true',
'flatten',
'grouper',
'iter_except',
'ncycles',
'nth',
'nth_combination',
'padnone',
'pad_none',
'pairwise',
'partition',
'powerset',
'prepend',
'quantify',
'random_combination_with_replacement',
'random_combination',
'random_permutation',
'random_product',
'repeatfunc',
'roundrobin',
'tabulate',
'tail',
'take',
'unique_everseen',
'unique_justseen',
]
def take(n, iterable):
"""Return first *n* items of the iterable as a list.
>>> take(3, range(10))
[0, 1, 2]
If there are fewer than *n* items in the iterable, all of them are
returned.
>>> take(10, range(3))
[0, 1, 2]
"""
return list(islice(iterable, n))
def tabulate(function, start=0):
"""Return an iterator over the results of ``func(start)``,
``func(start + 1)``, ``func(start + 2)``...
*func* should be a function that accepts one integer argument.
If *start* is not specified it defaults to 0. It will be incremented each
time the iterator is advanced.
>>> square = lambda x: x ** 2
>>> iterator = tabulate(square, -3)
>>> take(4, iterator)
[9, 4, 1, 0]
"""
return map(function, count(start))
def tail(n, iterable):
"""Return an iterator over the last *n* items of *iterable*.
>>> t = tail(3, 'ABCDEFG')
>>> list(t)
['E', 'F', 'G']
"""
return iter(deque(iterable, maxlen=n))
def consume(iterator, n=None):
"""Advance *iterable* by *n* steps. If *n* is ``None``, consume it
entirely.
Efficiently exhausts an iterator without returning values. Defaults to
consuming the whole iterator, but an optional second argument may be
provided to limit consumption.
>>> i = (x for x in range(10))
>>> next(i)
0
>>> consume(i, 3)
>>> next(i)
4
>>> consume(i)
>>> next(i)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
StopIteration
If the iterator has fewer items remaining than the provided limit, the
whole iterator will be consumed.
>>> i = (x for x in range(3))
>>> consume(i, 5)
>>> next(i)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
StopIteration
"""
# Use functions that consume iterators at C speed.
if n is None:
# feed the entire iterator into a zero-length deque
deque(iterator, maxlen=0)
else:
# advance to the empty slice starting at position n
next(islice(iterator, n, n), None)
def nth(iterable, n, default=None):
"""Returns the nth item or a default value.
>>> l = range(10)
>>> nth(l, 3)
3
>>> nth(l, 20, "zebra")
'zebra'
"""
return next(islice(iterable, n, None), default)
def all_equal(iterable):
"""
Returns ``True`` if all the elements are equal to each other.
>>> all_equal('aaaa')
True
>>> all_equal('aaab')
False
"""
g = groupby(iterable)
return next(g, True) and not next(g, False)
def quantify(iterable, pred=bool):
"""Return the how many times the predicate is true.
>>> quantify([True, False, True])
2
"""
return sum(map(pred, iterable))
def pad_none(iterable):
"""Returns the sequence of elements and then returns ``None`` indefinitely.
>>> take(5, pad_none(range(3)))
[0, 1, 2, None, None]
Useful for emulating the behavior of the built-in :func:`map` function.
See also :func:`padded`.
"""
return chain(iterable, repeat(None))
padnone = pad_none
def ncycles(iterable, n):
"""Returns the sequence elements *n* times
>>> list(ncycles(["a", "b"], 3))
['a', 'b', 'a', 'b', 'a', 'b']
"""
return chain.from_iterable(repeat(tuple(iterable), n))
def dotproduct(vec1, vec2):
"""Returns the dot product of the two iterables.
>>> dotproduct([10, 10], [20, 20])
400
"""
return sum(map(operator.mul, vec1, vec2))
def flatten(listOfLists):
"""Return an iterator flattening one level of nesting in a list of lists.
>>> list(flatten([[0, 1], [2, 3]]))
[0, 1, 2, 3]
See also :func:`collapse`, which can flatten multiple levels of nesting.
"""
return chain.from_iterable(listOfLists)
def repeatfunc(func, times=None, *args):
"""Call *func* with *args* repeatedly, returning an iterable over the
results.
If *times* is specified, the iterable will terminate after that many
repetitions:
>>> from operator import add
>>> times = 4
>>> args = 3, 5
>>> list(repeatfunc(add, times, *args))
[8, 8, 8, 8]
If *times* is ``None`` the iterable will not terminate:
>>> from random import randrange
>>> times = None
>>> args = 1, 11
>>> take(6, repeatfunc(randrange, times, *args)) # doctest:+SKIP
[2, 4, 8, 1, 8, 4]
"""
if times is None:
return starmap(func, repeat(args))
return starmap(func, repeat(args, times))
def _pairwise(iterable):
"""Returns an iterator of paired items, overlapping, from the original
>>> take(4, pairwise(count()))
[(0, 1), (1, 2), (2, 3), (3, 4)]
On Python 3.10 and above, this is an alias for :func:`itertools.pairwise`.
"""
a, b = tee(iterable)
next(b, None)
yield from zip(a, b)
try:
from itertools import pairwise as itertools_pairwise
except ImportError:
pairwise = _pairwise
else:
def pairwise(iterable):
yield from itertools_pairwise(iterable)
pairwise.__doc__ = _pairwise.__doc__
def grouper(iterable, n, fillvalue=None):
"""Collect data into fixed-length chunks or blocks.
>>> list(grouper('ABCDEFG', 3, 'x'))
[('A', 'B', 'C'), ('D', 'E', 'F'), ('G', 'x', 'x')]
"""
if isinstance(iterable, int):
warnings.warn(
"grouper expects iterable as first parameter", DeprecationWarning
)
n, iterable = iterable, n
args = [iter(iterable)] * n
return zip_longest(fillvalue=fillvalue, *args)
def roundrobin(*iterables):
"""Yields an item from each iterable, alternating between them.
>>> list(roundrobin('ABC', 'D', 'EF'))
['A', 'D', 'E', 'B', 'F', 'C']
This function produces the same output as :func:`interleave_longest`, but
may perform better for some inputs (in particular when the number of
iterables is small).
"""
# Recipe credited to George Sakkis
pending = len(iterables)
nexts = cycle(iter(it).__next__ for it in iterables)
while pending:
try:
for next in nexts:
yield next()
except StopIteration:
pending -= 1
nexts = cycle(islice(nexts, pending))
def partition(pred, iterable):
"""
Returns a 2-tuple of iterables derived from the input iterable.
The first yields the items that have ``pred(item) == False``.
The second yields the items that have ``pred(item) == True``.
>>> is_odd = lambda x: x % 2 != 0
>>> iterable = range(10)
>>> even_items, odd_items = partition(is_odd, iterable)
>>> list(even_items), list(odd_items)
([0, 2, 4, 6, 8], [1, 3, 5, 7, 9])
If *pred* is None, :func:`bool` is used.
>>> iterable = [0, 1, False, True, '', ' ']
>>> false_items, true_items = partition(None, iterable)
>>> list(false_items), list(true_items)
([0, False, ''], [1, True, ' '])
"""
if pred is None:
pred = bool
evaluations = ((pred(x), x) for x in iterable)
t1, t2 = tee(evaluations)
return (
(x for (cond, x) in t1 if not cond),
(x for (cond, x) in t2 if cond),
)
def powerset(iterable):
"""Yields all possible subsets of the iterable.
>>> list(powerset([1, 2, 3]))
[(), (1,), (2,), (3,), (1, 2), (1, 3), (2, 3), (1, 2, 3)]
:func:`powerset` will operate on iterables that aren't :class:`set`
instances, so repeated elements in the input will produce repeated elements
in the output. Use :func:`unique_everseen` on the input to avoid generating
duplicates:
>>> seq = [1, 1, 0]
>>> list(powerset(seq))
[(), (1,), (1,), (0,), (1, 1), (1, 0), (1, 0), (1, 1, 0)]
>>> from more_itertools import unique_everseen
>>> list(powerset(unique_everseen(seq)))
[(), (1,), (0,), (1, 0)]
"""
s = list(iterable)
return chain.from_iterable(combinations(s, r) for r in range(len(s) + 1))
def unique_everseen(iterable, key=None):
"""
Yield unique elements, preserving order.
>>> list(unique_everseen('AAAABBBCCDAABBB'))
['A', 'B', 'C', 'D']
>>> list(unique_everseen('ABBCcAD', str.lower))
['A', 'B', 'C', 'D']
Sequences with a mix of hashable and unhashable items can be used.
The function will be slower (i.e., `O(n^2)`) for unhashable items.
Remember that ``list`` objects are unhashable - you can use the *key*
parameter to transform the list to a tuple (which is hashable) to
avoid a slowdown.
>>> iterable = ([1, 2], [2, 3], [1, 2])
>>> list(unique_everseen(iterable)) # Slow
[[1, 2], [2, 3]]
>>> list(unique_everseen(iterable, key=tuple)) # Faster
[[1, 2], [2, 3]]
Similary, you may want to convert unhashable ``set`` objects with
``key=frozenset``. For ``dict`` objects,
``key=lambda x: frozenset(x.items())`` can be used.
"""
seenset = set()
seenset_add = seenset.add
seenlist = []
seenlist_add = seenlist.append
use_key = key is not None
for element in iterable:
k = key(element) if use_key else element
try:
if k not in seenset:
seenset_add(k)
yield element
except TypeError:
if k not in seenlist:
seenlist_add(k)
yield element
def unique_justseen(iterable, key=None):
"""Yields elements in order, ignoring serial duplicates
>>> list(unique_justseen('AAAABBBCCDAABBB'))
['A', 'B', 'C', 'D', 'A', 'B']
>>> list(unique_justseen('ABBCcAD', str.lower))
['A', 'B', 'C', 'A', 'D']
"""
return map(next, map(operator.itemgetter(1), groupby(iterable, key)))
def iter_except(func, exception, first=None):
"""Yields results from a function repeatedly until an exception is raised.
Converts a call-until-exception interface to an iterator interface.
Like ``iter(func, sentinel)``, but uses an exception instead of a sentinel
to end the loop.
>>> l = [0, 1, 2]
>>> list(iter_except(l.pop, IndexError))
[2, 1, 0]
"""
try:
if first is not None:
yield first()
while 1:
yield func()
except exception:
pass
def first_true(iterable, default=None, pred=None):
"""
Returns the first true value in the iterable.
If no true value is found, returns *default*
If *pred* is not None, returns the first item for which
``pred(item) == True`` .
>>> first_true(range(10))
1
>>> first_true(range(10), pred=lambda x: x > 5)
6
>>> first_true(range(10), default='missing', pred=lambda x: x > 9)
'missing'
"""
return next(filter(pred, iterable), default)
def random_product(*args, repeat=1):
"""Draw an item at random from each of the input iterables.
>>> random_product('abc', range(4), 'XYZ') # doctest:+SKIP
('c', 3, 'Z')
If *repeat* is provided as a keyword argument, that many items will be
drawn from each iterable.
>>> random_product('abcd', range(4), repeat=2) # doctest:+SKIP
('a', 2, 'd', 3)
This equivalent to taking a random selection from
``itertools.product(*args, **kwarg)``.
"""
pools = [tuple(pool) for pool in args] * repeat
return tuple(choice(pool) for pool in pools)
def random_permutation(iterable, r=None):
"""Return a random *r* length permutation of the elements in *iterable*.
If *r* is not specified or is ``None``, then *r* defaults to the length of
*iterable*.
>>> random_permutation(range(5)) # doctest:+SKIP
(3, 4, 0, 1, 2)
This equivalent to taking a random selection from
``itertools.permutations(iterable, r)``.
"""
pool = tuple(iterable)
r = len(pool) if r is None else r
return tuple(sample(pool, r))
def random_combination(iterable, r):
"""Return a random *r* length subsequence of the elements in *iterable*.
>>> random_combination(range(5), 3) # doctest:+SKIP
(2, 3, 4)
This equivalent to taking a random selection from
``itertools.combinations(iterable, r)``.
"""
pool = tuple(iterable)
n = len(pool)
indices = sorted(sample(range(n), r))
return tuple(pool[i] for i in indices)
def random_combination_with_replacement(iterable, r):
"""Return a random *r* length subsequence of elements in *iterable*,
allowing individual elements to be repeated.
>>> random_combination_with_replacement(range(3), 5) # doctest:+SKIP
(0, 0, 1, 2, 2)
This equivalent to taking a random selection from
``itertools.combinations_with_replacement(iterable, r)``.
"""
pool = tuple(iterable)
n = len(pool)
indices = sorted(randrange(n) for i in range(r))
return tuple(pool[i] for i in indices)
def nth_combination(iterable, r, index):
"""Equivalent to ``list(combinations(iterable, r))[index]``.
The subsequences of *iterable* that are of length *r* can be ordered
lexicographically. :func:`nth_combination` computes the subsequence at
sort position *index* directly, without computing the previous
subsequences.
>>> nth_combination(range(5), 3, 5)
(0, 3, 4)
``ValueError`` will be raised If *r* is negative or greater than the length
of *iterable*.
``IndexError`` will be raised if the given *index* is invalid.
"""
pool = tuple(iterable)
n = len(pool)
if (r < 0) or (r > n):
raise ValueError
c = 1
k = min(r, n - r)
for i in range(1, k + 1):
c = c * (n - k + i) // i
if index < 0:
index += c
if (index < 0) or (index >= c):
raise IndexError
result = []
while r:
c, n, r = c * r // n, n - 1, r - 1
while index >= c:
index -= c
c, n = c * (n - r) // n, n - 1
result.append(pool[-1 - n])
return tuple(result)
def prepend(value, iterator):
"""Yield *value*, followed by the elements in *iterator*.
>>> value = '0'
>>> iterator = ['1', '2', '3']
>>> list(prepend(value, iterator))
['0', '1', '2', '3']
To prepend multiple values, see :func:`itertools.chain`
or :func:`value_chain`.
"""
return chain([value], iterator)
def convolve(signal, kernel):
"""Convolve the iterable *signal* with the iterable *kernel*.
>>> signal = (1, 2, 3, 4, 5)
>>> kernel = [3, 2, 1]
>>> list(convolve(signal, kernel))
[3, 8, 14, 20, 26, 14, 5]
Note: the input arguments are not interchangeable, as the *kernel*
is immediately consumed and stored.
"""
kernel = tuple(kernel)[::-1]
n = len(kernel)
window = deque([0], maxlen=n) * n
for x in chain(signal, repeat(0, n - 1)):
window.append(x)
yield sum(map(operator.mul, kernel, window))
@@ -1,488 +0,0 @@
"""
An OrderedSet is a custom MutableSet that remembers its order, so that every
entry has an index that can be looked up.
Based on a recipe originally posted to ActiveState Recipes by Raymond Hettiger,
and released under the MIT license.
"""
import itertools as it
from collections import deque
try:
# Python 3
from collections.abc import MutableSet, Sequence
except ImportError:
# Python 2.7
from collections import MutableSet, Sequence
SLICE_ALL = slice(None)
__version__ = "3.1"
def is_iterable(obj):
"""
Are we being asked to look up a list of things, instead of a single thing?
We check for the `__iter__` attribute so that this can cover types that
don't have to be known by this module, such as NumPy arrays.
Strings, however, should be considered as atomic values to look up, not
iterables. The same goes for tuples, since they are immutable and therefore
valid entries.
We don't need to check for the Python 2 `unicode` type, because it doesn't
have an `__iter__` attribute anyway.
"""
return (
hasattr(obj, "__iter__")
and not isinstance(obj, str)
and not isinstance(obj, tuple)
)
class OrderedSet(MutableSet, Sequence):
"""
An OrderedSet is a custom MutableSet that remembers its order, so that
every entry has an index that can be looked up.
Example:
>>> OrderedSet([1, 1, 2, 3, 2])
OrderedSet([1, 2, 3])
"""
def __init__(self, iterable=None):
self.items = []
self.map = {}
if iterable is not None:
self |= iterable
def __len__(self):
"""
Returns the number of unique elements in the ordered set
Example:
>>> len(OrderedSet([]))
0
>>> len(OrderedSet([1, 2]))
2
"""
return len(self.items)
def __getitem__(self, index):
"""
Get the item at a given index.
If `index` is a slice, you will get back that slice of items, as a
new OrderedSet.
If `index` is a list or a similar iterable, you'll get a list of
items corresponding to those indices. This is similar to NumPy's
"fancy indexing". The result is not an OrderedSet because you may ask
for duplicate indices, and the number of elements returned should be
the number of elements asked for.
Example:
>>> oset = OrderedSet([1, 2, 3])
>>> oset[1]
2
"""
if isinstance(index, slice) and index == SLICE_ALL:
return self.copy()
elif is_iterable(index):
return [self.items[i] for i in index]
elif hasattr(index, "__index__") or isinstance(index, slice):
result = self.items[index]
if isinstance(result, list):
return self.__class__(result)
else:
return result
else:
raise TypeError("Don't know how to index an OrderedSet by %r" % index)
def copy(self):
"""
Return a shallow copy of this object.
Example:
>>> this = OrderedSet([1, 2, 3])
>>> other = this.copy()
>>> this == other
True
>>> this is other
False
"""
return self.__class__(self)
def __getstate__(self):
if len(self) == 0:
# The state can't be an empty list.
# We need to return a truthy value, or else __setstate__ won't be run.
#
# This could have been done more gracefully by always putting the state
# in a tuple, but this way is backwards- and forwards- compatible with
# previous versions of OrderedSet.
return (None,)
else:
return list(self)
def __setstate__(self, state):
if state == (None,):
self.__init__([])
else:
self.__init__(state)
def __contains__(self, key):
"""
Test if the item is in this ordered set
Example:
>>> 1 in OrderedSet([1, 3, 2])
True
>>> 5 in OrderedSet([1, 3, 2])
False
"""
return key in self.map
def add(self, key):
"""
Add `key` as an item to this OrderedSet, then return its index.
If `key` is already in the OrderedSet, return the index it already
had.
Example:
>>> oset = OrderedSet()
>>> oset.append(3)
0
>>> print(oset)
OrderedSet([3])
"""
if key not in self.map:
self.map[key] = len(self.items)
self.items.append(key)
return self.map[key]
append = add
def update(self, sequence):
"""
Update the set with the given iterable sequence, then return the index
of the last element inserted.
Example:
>>> oset = OrderedSet([1, 2, 3])
>>> oset.update([3, 1, 5, 1, 4])
4
>>> print(oset)
OrderedSet([1, 2, 3, 5, 4])
"""
item_index = None
try:
for item in sequence:
item_index = self.add(item)
except TypeError:
raise ValueError(
"Argument needs to be an iterable, got %s" % type(sequence)
)
return item_index
def index(self, key):
"""
Get the index of a given entry, raising an IndexError if it's not
present.
`key` can be an iterable of entries that is not a string, in which case
this returns a list of indices.
Example:
>>> oset = OrderedSet([1, 2, 3])
>>> oset.index(2)
1
"""
if is_iterable(key):
return [self.index(subkey) for subkey in key]
return self.map[key]
# Provide some compatibility with pd.Index
get_loc = index
get_indexer = index
def pop(self):
"""
Remove and return the last element from the set.
Raises KeyError if the set is empty.
Example:
>>> oset = OrderedSet([1, 2, 3])
>>> oset.pop()
3
"""
if not self.items:
raise KeyError("Set is empty")
elem = self.items[-1]
del self.items[-1]
del self.map[elem]
return elem
def discard(self, key):
"""
Remove an element. Do not raise an exception if absent.
The MutableSet mixin uses this to implement the .remove() method, which
*does* raise an error when asked to remove a non-existent item.
Example:
>>> oset = OrderedSet([1, 2, 3])
>>> oset.discard(2)
>>> print(oset)
OrderedSet([1, 3])
>>> oset.discard(2)
>>> print(oset)
OrderedSet([1, 3])
"""
if key in self:
i = self.map[key]
del self.items[i]
del self.map[key]
for k, v in self.map.items():
if v >= i:
self.map[k] = v - 1
def clear(self):
"""
Remove all items from this OrderedSet.
"""
del self.items[:]
self.map.clear()
def __iter__(self):
"""
Example:
>>> list(iter(OrderedSet([1, 2, 3])))
[1, 2, 3]
"""
return iter(self.items)
def __reversed__(self):
"""
Example:
>>> list(reversed(OrderedSet([1, 2, 3])))
[3, 2, 1]
"""
return reversed(self.items)
def __repr__(self):
if not self:
return "%s()" % (self.__class__.__name__,)
return "%s(%r)" % (self.__class__.__name__, list(self))
def __eq__(self, other):
"""
Returns true if the containers have the same items. If `other` is a
Sequence, then order is checked, otherwise it is ignored.
Example:
>>> oset = OrderedSet([1, 3, 2])
>>> oset == [1, 3, 2]
True
>>> oset == [1, 2, 3]
False
>>> oset == [2, 3]
False
>>> oset == OrderedSet([3, 2, 1])
False
"""
# In Python 2 deque is not a Sequence, so treat it as one for
# consistent behavior with Python 3.
if isinstance(other, (Sequence, deque)):
# Check that this OrderedSet contains the same elements, in the
# same order, as the other object.
return list(self) == list(other)
try:
other_as_set = set(other)
except TypeError:
# If `other` can't be converted into a set, it's not equal.
return False
else:
return set(self) == other_as_set
def union(self, *sets):
"""
Combines all unique items.
Each items order is defined by its first appearance.
Example:
>>> oset = OrderedSet.union(OrderedSet([3, 1, 4, 1, 5]), [1, 3], [2, 0])
>>> print(oset)
OrderedSet([3, 1, 4, 5, 2, 0])
>>> oset.union([8, 9])
OrderedSet([3, 1, 4, 5, 2, 0, 8, 9])
>>> oset | {10}
OrderedSet([3, 1, 4, 5, 2, 0, 10])
"""
cls = self.__class__ if isinstance(self, OrderedSet) else OrderedSet
containers = map(list, it.chain([self], sets))
items = it.chain.from_iterable(containers)
return cls(items)
def __and__(self, other):
# the parent implementation of this is backwards
return self.intersection(other)
def intersection(self, *sets):
"""
Returns elements in common between all sets. Order is defined only
by the first set.
Example:
>>> oset = OrderedSet.intersection(OrderedSet([0, 1, 2, 3]), [1, 2, 3])
>>> print(oset)
OrderedSet([1, 2, 3])
>>> oset.intersection([2, 4, 5], [1, 2, 3, 4])
OrderedSet([2])
>>> oset.intersection()
OrderedSet([1, 2, 3])
"""
cls = self.__class__ if isinstance(self, OrderedSet) else OrderedSet
if sets:
common = set.intersection(*map(set, sets))
items = (item for item in self if item in common)
else:
items = self
return cls(items)
def difference(self, *sets):
"""
Returns all elements that are in this set but not the others.
Example:
>>> OrderedSet([1, 2, 3]).difference(OrderedSet([2]))
OrderedSet([1, 3])
>>> OrderedSet([1, 2, 3]).difference(OrderedSet([2]), OrderedSet([3]))
OrderedSet([1])
>>> OrderedSet([1, 2, 3]) - OrderedSet([2])
OrderedSet([1, 3])
>>> OrderedSet([1, 2, 3]).difference()
OrderedSet([1, 2, 3])
"""
cls = self.__class__
if sets:
other = set.union(*map(set, sets))
items = (item for item in self if item not in other)
else:
items = self
return cls(items)
def issubset(self, other):
"""
Report whether another set contains this set.
Example:
>>> OrderedSet([1, 2, 3]).issubset({1, 2})
False
>>> OrderedSet([1, 2, 3]).issubset({1, 2, 3, 4})
True
>>> OrderedSet([1, 2, 3]).issubset({1, 4, 3, 5})
False
"""
if len(self) > len(other): # Fast check for obvious cases
return False
return all(item in other for item in self)
def issuperset(self, other):
"""
Report whether this set contains another set.
Example:
>>> OrderedSet([1, 2]).issuperset([1, 2, 3])
False
>>> OrderedSet([1, 2, 3, 4]).issuperset({1, 2, 3})
True
>>> OrderedSet([1, 4, 3, 5]).issuperset({1, 2, 3})
False
"""
if len(self) < len(other): # Fast check for obvious cases
return False
return all(item in self for item in other)
def symmetric_difference(self, other):
"""
Return the symmetric difference of two OrderedSets as a new set.
That is, the new set will contain all elements that are in exactly
one of the sets.
Their order will be preserved, with elements from `self` preceding
elements from `other`.
Example:
>>> this = OrderedSet([1, 4, 3, 5, 7])
>>> other = OrderedSet([9, 7, 1, 3, 2])
>>> this.symmetric_difference(other)
OrderedSet([4, 5, 9, 2])
"""
cls = self.__class__ if isinstance(self, OrderedSet) else OrderedSet
diff1 = cls(self).difference(other)
diff2 = cls(other).difference(self)
return diff1.union(diff2)
def _update_items(self, items):
"""
Replace the 'items' list of this OrderedSet with a new one, updating
self.map accordingly.
"""
self.items = items
self.map = {item: idx for (idx, item) in enumerate(items)}
def difference_update(self, *sets):
"""
Update this OrderedSet to remove items from one or more other sets.
Example:
>>> this = OrderedSet([1, 2, 3])
>>> this.difference_update(OrderedSet([2, 4]))
>>> print(this)
OrderedSet([1, 3])
>>> this = OrderedSet([1, 2, 3, 4, 5])
>>> this.difference_update(OrderedSet([2, 4]), OrderedSet([1, 4, 6]))
>>> print(this)
OrderedSet([3, 5])
"""
items_to_remove = set()
for other in sets:
items_to_remove |= set(other)
self._update_items([item for item in self.items if item not in items_to_remove])
def intersection_update(self, other):
"""
Update this OrderedSet to keep only items in another set, preserving
their order in this set.
Example:
>>> this = OrderedSet([1, 4, 3, 5, 7])
>>> other = OrderedSet([9, 7, 1, 3, 2])
>>> this.intersection_update(other)
>>> print(this)
OrderedSet([1, 3, 7])
"""
other = set(other)
self._update_items([item for item in self.items if item in other])
def symmetric_difference_update(self, other):
"""
Update this OrderedSet to remove items from another set, then
add items from the other set that were not present in this set.
Example:
>>> this = OrderedSet([1, 4, 3, 5, 7])
>>> other = OrderedSet([9, 7, 1, 3, 2])
>>> this.symmetric_difference_update(other)
>>> print(this)
OrderedSet([4, 5, 9, 2])
"""
items_to_add = [item for item in other if item not in self]
items_to_remove = set(other)
self._update_items(
[item for item in self.items if item not in items_to_remove] + items_to_add
)
@@ -1,26 +0,0 @@
# This file is dual licensed under the terms of the Apache License, Version
# 2.0, and the BSD License. See the LICENSE file in the root of this repository
# for complete details.
__all__ = [
"__title__",
"__summary__",
"__uri__",
"__version__",
"__author__",
"__email__",
"__license__",
"__copyright__",
]
__title__ = "packaging"
__summary__ = "Core utilities for Python packages"
__uri__ = "https://github.com/pypa/packaging"
__version__ = "21.3"
__author__ = "Donald Stufft and individual contributors"
__email__ = "donald@stufft.io"
__license__ = "BSD-2-Clause or Apache-2.0"
__copyright__ = "2014-2019 %s" % __author__
@@ -1,25 +0,0 @@
# This file is dual licensed under the terms of the Apache License, Version
# 2.0, and the BSD License. See the LICENSE file in the root of this repository
# for complete details.
from .__about__ import (
__author__,
__copyright__,
__email__,
__license__,
__summary__,
__title__,
__uri__,
__version__,
)
__all__ = [
"__title__",
"__summary__",
"__uri__",
"__version__",
"__author__",
"__email__",
"__license__",
"__copyright__",
]