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183
env/lib/python3.11/site-packages/websockets/datastructures.py
vendored
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183
env/lib/python3.11/site-packages/websockets/datastructures.py
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from __future__ import annotations
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from collections.abc import Iterable, Iterator, Mapping, MutableMapping
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from typing import Any, Protocol, Union
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__all__ = ["Headers", "HeadersLike", "MultipleValuesError"]
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class MultipleValuesError(LookupError):
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"""
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Exception raised when :class:`Headers` has multiple values for a key.
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"""
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def __str__(self) -> str:
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# Implement the same logic as KeyError_str in Objects/exceptions.c.
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if len(self.args) == 1:
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return repr(self.args[0])
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return super().__str__()
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class Headers(MutableMapping[str, str]):
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"""
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Efficient data structure for manipulating HTTP headers.
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A :class:`list` of ``(name, values)`` is inefficient for lookups.
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A :class:`dict` doesn't suffice because header names are case-insensitive
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and multiple occurrences of headers with the same name are possible.
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:class:`Headers` stores HTTP headers in a hybrid data structure to provide
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efficient insertions and lookups while preserving the original data.
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In order to account for multiple values with minimal hassle,
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:class:`Headers` follows this logic:
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- When getting a header with ``headers[name]``:
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- if there's no value, :exc:`KeyError` is raised;
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- if there's exactly one value, it's returned;
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- if there's more than one value, :exc:`MultipleValuesError` is raised.
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- When setting a header with ``headers[name] = value``, the value is
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appended to the list of values for that header.
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- When deleting a header with ``del headers[name]``, all values for that
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header are removed (this is slow).
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Other methods for manipulating headers are consistent with this logic.
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As long as no header occurs multiple times, :class:`Headers` behaves like
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:class:`dict`, except keys are lower-cased to provide case-insensitivity.
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Two methods support manipulating multiple values explicitly:
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- :meth:`get_all` returns a list of all values for a header;
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- :meth:`raw_items` returns an iterator of ``(name, values)`` pairs.
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"""
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__slots__ = ["_dict", "_list"]
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# Like dict, Headers accepts an optional "mapping or iterable" argument.
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def __init__(self, *args: HeadersLike, **kwargs: str) -> None:
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self._dict: dict[str, list[str]] = {}
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self._list: list[tuple[str, str]] = []
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self.update(*args, **kwargs)
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def __str__(self) -> str:
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return "".join(f"{key}: {value}\r\n" for key, value in self._list) + "\r\n"
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def __repr__(self) -> str:
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return f"{self.__class__.__name__}({self._list!r})"
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def copy(self) -> Headers:
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copy = self.__class__()
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copy._dict = self._dict.copy()
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copy._list = self._list.copy()
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return copy
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def serialize(self) -> bytes:
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# Since headers only contain ASCII characters, we can keep this simple.
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return str(self).encode()
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# Collection methods
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def __contains__(self, key: object) -> bool:
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return isinstance(key, str) and key.lower() in self._dict
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def __iter__(self) -> Iterator[str]:
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return iter(self._dict)
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def __len__(self) -> int:
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return len(self._dict)
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# MutableMapping methods
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def __getitem__(self, key: str) -> str:
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value = self._dict[key.lower()]
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if len(value) == 1:
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return value[0]
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else:
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raise MultipleValuesError(key)
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def __setitem__(self, key: str, value: str) -> None:
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self._dict.setdefault(key.lower(), []).append(value)
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self._list.append((key, value))
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def __delitem__(self, key: str) -> None:
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key_lower = key.lower()
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self._dict.__delitem__(key_lower)
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# This is inefficient. Fortunately deleting HTTP headers is uncommon.
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self._list = [(k, v) for k, v in self._list if k.lower() != key_lower]
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def __eq__(self, other: Any) -> bool:
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if not isinstance(other, Headers):
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return NotImplemented
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return self._dict == other._dict
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def clear(self) -> None:
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"""
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Remove all headers.
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"""
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self._dict = {}
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self._list = []
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def update(self, *args: HeadersLike, **kwargs: str) -> None:
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"""
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Update from a :class:`Headers` instance and/or keyword arguments.
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"""
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args = tuple(
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arg.raw_items() if isinstance(arg, Headers) else arg for arg in args
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)
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super().update(*args, **kwargs)
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# Methods for handling multiple values
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def get_all(self, key: str) -> list[str]:
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"""
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Return the (possibly empty) list of all values for a header.
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Args:
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key: Header name.
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"""
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return self._dict.get(key.lower(), [])
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def raw_items(self) -> Iterator[tuple[str, str]]:
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"""
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Return an iterator of all values as ``(name, value)`` pairs.
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"""
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return iter(self._list)
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# copy of _typeshed.SupportsKeysAndGetItem.
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class SupportsKeysAndGetItem(Protocol): # pragma: no cover
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"""
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Dict-like types with ``keys() -> str`` and ``__getitem__(key: str) -> str`` methods.
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"""
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def keys(self) -> Iterable[str]: ...
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def __getitem__(self, key: str) -> str: ...
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# Change to Headers | Mapping[str, str] | ... when dropping Python < 3.10.
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HeadersLike = Union[
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Headers,
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Mapping[str, str],
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Iterable[tuple[str, str]],
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SupportsKeysAndGetItem,
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]
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"""
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Types accepted where :class:`Headers` is expected.
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In addition to :class:`Headers` itself, this includes dict-like types where both
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keys and values are :class:`str`.
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"""
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