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venv/lib/python3.12/site-packages/annotated_types-0.7.0.dist-info/INSTALLER

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+pip

venv/lib/python3.12/site-packages/annotated_types-0.7.0.dist-info/METADATA

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+Metadata-Version: 2.3
+Name: annotated-types
+Version: 0.7.0
+Summary: Reusable constraint types to use with typing.Annotated
+Project-URL: Homepage, https://github.com/annotated-types/annotated-types
+Project-URL: Source, https://github.com/annotated-types/annotated-types
+Project-URL: Changelog, https://github.com/annotated-types/annotated-types/releases
+Author-email: Adrian Garcia Badaracco <1755071+adriangb@users.noreply.github.com>, Samuel Colvin <s@muelcolvin.com>, Zac Hatfield-Dodds <zac@zhd.dev>
+License-File: LICENSE
+Classifier: Development Status :: 4 - Beta
+Classifier: Environment :: Console
+Classifier: Environment :: MacOS X
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: Information Technology
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Operating System :: POSIX :: Linux
+Classifier: Operating System :: Unix
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Topic :: Software Development :: Libraries :: Python Modules
+Classifier: Typing :: Typed
+Requires-Python: >=3.8
+Requires-Dist: typing-extensions>=4.0.0; python_version < '3.9'
+Description-Content-Type: text/markdown
+
+# annotated-types
+
+[![CI](https://github.com/annotated-types/annotated-types/workflows/CI/badge.svg?event=push)](https://github.com/annotated-types/annotated-types/actions?query=event%3Apush+branch%3Amain+workflow%3ACI)
+[![pypi](https://img.shields.io/pypi/v/annotated-types.svg)](https://pypi.python.org/pypi/annotated-types)
+[![versions](https://img.shields.io/pypi/pyversions/annotated-types.svg)](https://github.com/annotated-types/annotated-types)
+[![license](https://img.shields.io/github/license/annotated-types/annotated-types.svg)](https://github.com/annotated-types/annotated-types/blob/main/LICENSE)
+
+[PEP-593](https://peps.python.org/pep-0593/) added `typing.Annotated` as a way of
+adding context-specific metadata to existing types, and specifies that
+`Annotated[T, x]` _should_ be treated as `T` by any tool or library without special
+logic for `x`.
+
+This package provides metadata objects which can be used to represent common
+constraints such as upper and lower bounds on scalar values and collection sizes,
+a `Predicate` marker for runtime checks, and
+descriptions of how we intend these metadata to be interpreted. In some cases,
+we also note alternative representations which do not require this package.
+
+## Install
+
+```bash
+pip install annotated-types
+```
+
+## Examples
+
+```python
+from typing import Annotated
+from annotated_types import Gt, Len, Predicate
+
+class MyClass:
+    age: Annotated[int, Gt(18)]                         # Valid: 19, 20, ...
+                                                        # Invalid: 17, 18, "19", 19.0, ...
+    factors: list[Annotated[int, Predicate(is_prime)]]  # Valid: 2, 3, 5, 7, 11, ...
+                                                        # Invalid: 4, 8, -2, 5.0, "prime", ...
+
+    my_list: Annotated[list[int], Len(0, 10)]           # Valid: [], [10, 20, 30, 40, 50]
+                                                        # Invalid: (1, 2), ["abc"], [0] * 20
+```
+
+## Documentation
+
+_While `annotated-types` avoids runtime checks for performance, users should not
+construct invalid combinations such as `MultipleOf("non-numeric")` or `Annotated[int, Len(3)]`.
+Downstream implementors may choose to raise an error, emit a warning, silently ignore
+a metadata item, etc., if the metadata objects described below are used with an
+incompatible type - or for any other reason!_
+
+### Gt, Ge, Lt, Le
+
+Express inclusive and/or exclusive bounds on orderable values - which may be numbers,
+dates, times, strings, sets, etc. Note that the boundary value need not be of the
+same type that was annotated, so long as they can be compared: `Annotated[int, Gt(1.5)]`
+is fine, for example, and implies that the value is an integer x such that `x > 1.5`.
+
+We suggest that implementors may also interpret `functools.partial(operator.le, 1.5)`
+as being equivalent to `Gt(1.5)`, for users who wish to avoid a runtime dependency on
+the `annotated-types` package.
+
+To be explicit, these types have the following meanings:
+
+* `Gt(x)` - value must be "Greater Than" `x` - equivalent to exclusive minimum
+* `Ge(x)` - value must be "Greater than or Equal" to `x` - equivalent to inclusive minimum
+* `Lt(x)` - value must be "Less Than" `x` - equivalent to exclusive maximum
+* `Le(x)` - value must be "Less than or Equal" to `x` - equivalent to inclusive maximum
+
+### Interval
+
+`Interval(gt, ge, lt, le)` allows you to specify an upper and lower bound with a single
+metadata object. `None` attributes should be ignored, and non-`None` attributes
+treated as per the single bounds above.
+
+### MultipleOf
+
+`MultipleOf(multiple_of=x)` might be interpreted in two ways:
+
+1. Python semantics, implying `value % multiple_of == 0`, or
+2. [JSONschema semantics](https://json-schema.org/draft/2020-12/json-schema-validation.html#rfc.section.6.2.1),
+   where `int(value / multiple_of) == value / multiple_of`.
+
+We encourage users to be aware of these two common interpretations and their
+distinct behaviours, especially since very large or non-integer numbers make
+it easy to cause silent data corruption due to floating-point imprecision.
+
+We encourage libraries to carefully document which interpretation they implement.
+
+### MinLen, MaxLen, Len
+
+`Len()` implies that `min_length <= len(value) <= max_length` - lower and upper bounds are inclusive.
+
+As well as `Len()` which can optionally include upper and lower bounds, we also
+provide `MinLen(x)` and `MaxLen(y)` which are equivalent to `Len(min_length=x)`
+and `Len(max_length=y)` respectively.
+
+`Len`, `MinLen`, and `MaxLen` may be used with any type which supports `len(value)`.
+
+Examples of usage:
+
+* `Annotated[list, MaxLen(10)]` (or `Annotated[list, Len(max_length=10))`) - list must have a length of 10 or less
+* `Annotated[str, MaxLen(10)]` - string must have a length of 10 or less
+* `Annotated[list, MinLen(3))` (or `Annotated[list, Len(min_length=3))`) - list must have a length of 3 or more
+* `Annotated[list, Len(4, 6)]` - list must have a length of 4, 5, or 6
+* `Annotated[list, Len(8, 8)]` - list must have a length of exactly 8
+
+#### Changed in v0.4.0
+
+* `min_inclusive` has been renamed to `min_length`, no change in meaning
+* `max_exclusive` has been renamed to `max_length`, upper bound is now **inclusive** instead of **exclusive**
+* The recommendation that slices are interpreted as `Len` has been removed due to ambiguity and different semantic
+  meaning of the upper bound in slices vs. `Len`
+
+See [issue #23](https://github.com/annotated-types/annotated-types/issues/23) for discussion.
+
+### Timezone
+
+`Timezone` can be used with a `datetime` or a `time` to express which timezones
+are allowed. `Annotated[datetime, Timezone(None)]` must be a naive datetime.
+`Timezone[...]` ([literal ellipsis](https://docs.python.org/3/library/constants.html#Ellipsis))
+expresses that any timezone-aware datetime is allowed. You may also pass a specific
+timezone string or [`tzinfo`](https://docs.python.org/3/library/datetime.html#tzinfo-objects)
+object such as `Timezone(timezone.utc)` or `Timezone("Africa/Abidjan")` to express that you only
+allow a specific timezone, though we note that this is often a symptom of fragile design.
+
+#### Changed in v0.x.x
+
+* `Timezone` accepts [`tzinfo`](https://docs.python.org/3/library/datetime.html#tzinfo-objects) objects instead of
+  `timezone`, extending compatibility to [`zoneinfo`](https://docs.python.org/3/library/zoneinfo.html) and third party libraries.
+
+### Unit
+
+`Unit(unit: str)` expresses that the annotated numeric value is the magnitude of
+a quantity with the specified unit. For example, `Annotated[float, Unit("m/s")]`
+would be a float representing a velocity in meters per second.
+
+Please note that `annotated_types` itself makes no attempt to parse or validate
+the unit string in any way. That is left entirely to downstream libraries,
+such as [`pint`](https://pint.readthedocs.io) or
+[`astropy.units`](https://docs.astropy.org/en/stable/units/).
+
+An example of how a library might use this metadata:
+
+```python
+from annotated_types import Unit
+from typing import Annotated, TypeVar, Callable, Any, get_origin, get_args
+
+# given a type annotated with a unit:
+Meters = Annotated[float, Unit("m")]
+
+
+# you can cast the annotation to a specific unit type with any
+# callable that accepts a string and returns the desired type
+T = TypeVar("T")
+def cast_unit(tp: Any, unit_cls: Callable[[str], T]) -> T | None:
+    if get_origin(tp) is Annotated:
+        for arg in get_args(tp):
+            if isinstance(arg, Unit):
+                return unit_cls(arg.unit)
+    return None
+
+
+# using `pint`
+import pint
+pint_unit = cast_unit(Meters, pint.Unit)
+
+
+# using `astropy.units`
+import astropy.units as u
+astropy_unit = cast_unit(Meters, u.Unit)
+```
+
+### Predicate
+
+`Predicate(func: Callable)` expresses that `func(value)` is truthy for valid values.
+Users should prefer the statically inspectable metadata above, but if you need
+the full power and flexibility of arbitrary runtime predicates... here it is.
+
+For some common constraints, we provide generic types:
+
+* `IsLower       = Annotated[T, Predicate(str.islower)]`
+* `IsUpper       = Annotated[T, Predicate(str.isupper)]`
+* `IsDigit       = Annotated[T, Predicate(str.isdigit)]`
+* `IsFinite      = Annotated[T, Predicate(math.isfinite)]`
+* `IsNotFinite   = Annotated[T, Predicate(Not(math.isfinite))]`
+* `IsNan         = Annotated[T, Predicate(math.isnan)]`
+* `IsNotNan      = Annotated[T, Predicate(Not(math.isnan))]`
+* `IsInfinite    = Annotated[T, Predicate(math.isinf)]`
+* `IsNotInfinite = Annotated[T, Predicate(Not(math.isinf))]`
+
+so that you can write e.g. `x: IsFinite[float] = 2.0` instead of the longer
+(but exactly equivalent) `x: Annotated[float, Predicate(math.isfinite)] = 2.0`.
+
+Some libraries might have special logic to handle known or understandable predicates,
+for example by checking for `str.isdigit` and using its presence to both call custom
+logic to enforce digit-only strings, and customise some generated external schema.
+Users are therefore encouraged to avoid indirection like `lambda s: s.lower()`, in
+favor of introspectable methods such as `str.lower` or `re.compile("pattern").search`.
+
+To enable basic negation of commonly used predicates like `math.isnan` without introducing introspection that makes it impossible for implementers to introspect the predicate we provide a `Not` wrapper that simply negates the predicate in an introspectable manner. Several of the predicates listed above are created in this manner.
+
+We do not specify what behaviour should be expected for predicates that raise
+an exception.  For example `Annotated[int, Predicate(str.isdigit)]` might silently
+skip invalid constraints, or statically raise an error; or it might try calling it
+and then propagate or discard the resulting
+`TypeError: descriptor 'isdigit' for 'str' objects doesn't apply to a 'int' object`
+exception.  We encourage libraries to document the behaviour they choose.
+
+### Doc
+
+`doc()` can be used to add documentation information in `Annotated`, for function and method parameters, variables, class attributes, return types, and any place where `Annotated` can be used.
+
+It expects a value that can be statically analyzed, as the main use case is for static analysis, editors, documentation generators, and similar tools.
+
+It returns a `DocInfo` class with a single attribute `documentation` containing the value passed to `doc()`.
+
+This is the early adopter's alternative form of the [`typing-doc` proposal](https://github.com/tiangolo/fastapi/blob/typing-doc/typing_doc.md).
+
+### Integrating downstream types with `GroupedMetadata`
+
+Implementers may choose to provide a convenience wrapper that groups multiple pieces of metadata.
+This can help reduce verbosity and cognitive overhead for users.
+For example, an implementer like Pydantic might provide a `Field` or `Meta` type that accepts keyword arguments and transforms these into low-level metadata:
+
+```python
+from dataclasses import dataclass
+from typing import Iterator
+from annotated_types import GroupedMetadata, Ge
+
+@dataclass
+class Field(GroupedMetadata):
+    ge: int | None = None
+    description: str | None = None
+
+    def __iter__(self) -> Iterator[object]:
+        # Iterating over a GroupedMetadata object should yield annotated-types
+        # constraint metadata objects which describe it as fully as possible,
+        # and may include other unknown objects too.
+        if self.ge is not None:
+            yield Ge(self.ge)
+        if self.description is not None:
+            yield Description(self.description)
+```
+
+Libraries consuming annotated-types constraints should check for `GroupedMetadata` and unpack it by iterating over the object and treating the results as if they had been "unpacked" in the `Annotated` type.  The same logic should be applied to the [PEP 646 `Unpack` type](https://peps.python.org/pep-0646/), so that `Annotated[T, Field(...)]`, `Annotated[T, Unpack[Field(...)]]` and `Annotated[T, *Field(...)]` are all treated consistently.
+
+Libraries consuming annotated-types should also ignore any metadata they do not recongize that came from unpacking a `GroupedMetadata`, just like they ignore unrecognized metadata in `Annotated` itself.
+
+Our own `annotated_types.Interval` class is a `GroupedMetadata` which unpacks itself into `Gt`, `Lt`, etc., so this is not an abstract concern.  Similarly, `annotated_types.Len` is a `GroupedMetadata` which unpacks itself into `MinLen` (optionally) and `MaxLen`.
+
+### Consuming metadata
+
+We intend to not be prescriptive as to _how_ the metadata and constraints are used, but as an example of how one might parse constraints from types annotations see our [implementation in `test_main.py`](https://github.com/annotated-types/annotated-types/blob/f59cf6d1b5255a0fe359b93896759a180bec30ae/tests/test_main.py#L94-L103).
+
+It is up to the implementer to determine how this metadata is used.
+You could use the metadata for runtime type checking, for generating schemas or to generate example data, amongst other use cases.
+
+## Design & History
+
+This package was designed at the PyCon 2022 sprints by the maintainers of Pydantic
+and Hypothesis, with the goal of making it as easy as possible for end-users to
+provide more informative annotations for use by runtime libraries.
+
+It is deliberately minimal, and following PEP-593 allows considerable downstream
+discretion in what (if anything!) they choose to support. Nonetheless, we expect
+that staying simple and covering _only_ the most common use-cases will give users
+and maintainers the best experience we can. If you'd like more constraints for your
+types - follow our lead, by defining them and documenting them downstream!

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venv/lib/python3.12/site-packages/annotated_types/__init__.py

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+import math
+import sys
+import types
+from dataclasses import dataclass
+from datetime import tzinfo
+from typing import TYPE_CHECKING, Any, Callable, Iterator, Optional, SupportsFloat, SupportsIndex, TypeVar, Union
+
+if sys.version_info < (3, 8):
+    from typing_extensions import Protocol, runtime_checkable
+else:
+    from typing import Protocol, runtime_checkable
+
+if sys.version_info < (3, 9):
+    from typing_extensions import Annotated, Literal
+else:
+    from typing import Annotated, Literal
+
+if sys.version_info < (3, 10):
+    EllipsisType = type(Ellipsis)
+    KW_ONLY = {}
+    SLOTS = {}
+else:
+    from types import EllipsisType
+
+    KW_ONLY = {"kw_only": True}
+    SLOTS = {"slots": True}
+
+
+__all__ = (
+    'BaseMetadata',
+    'GroupedMetadata',
+    'Gt',
+    'Ge',
+    'Lt',
+    'Le',
+    'Interval',
+    'MultipleOf',
+    'MinLen',
+    'MaxLen',
+    'Len',
+    'Timezone',
+    'Predicate',
+    'LowerCase',
+    'UpperCase',
+    'IsDigits',
+    'IsFinite',
+    'IsNotFinite',
+    'IsNan',
+    'IsNotNan',
+    'IsInfinite',
+    'IsNotInfinite',
+    'doc',
+    'DocInfo',
+    '__version__',
+)
+
+__version__ = '0.7.0'
+
+
+T = TypeVar('T')
+
+
+# arguments that start with __ are considered
+# positional only
+# see https://peps.python.org/pep-0484/#positional-only-arguments
+
+
+class SupportsGt(Protocol):
+    def __gt__(self: T, __other: T) -> bool:
+        ...
+
+
+class SupportsGe(Protocol):
+    def __ge__(self: T, __other: T) -> bool:
+        ...
+
+
+class SupportsLt(Protocol):
+    def __lt__(self: T, __other: T) -> bool:
+        ...
+
+
+class SupportsLe(Protocol):
+    def __le__(self: T, __other: T) -> bool:
+        ...
+
+
+class SupportsMod(Protocol):
+    def __mod__(self: T, __other: T) -> T:
+        ...
+
+
+class SupportsDiv(Protocol):
+    def __div__(self: T, __other: T) -> T:
+        ...
+
+
+class BaseMetadata:
+    """Base class for all metadata.
+
+    This exists mainly so that implementers
+    can do `isinstance(..., BaseMetadata)` while traversing field annotations.
+    """
+
+    __slots__ = ()
+
+
+@dataclass(frozen=True, **SLOTS)
+class Gt(BaseMetadata):
+    """Gt(gt=x) implies that the value must be greater than x.
+
+    It can be used with any type that supports the ``>`` operator,
+    including numbers, dates and times, strings, sets, and so on.
+    """
+
+    gt: SupportsGt
+
+
+@dataclass(frozen=True, **SLOTS)
+class Ge(BaseMetadata):
+    """Ge(ge=x) implies that the value must be greater than or equal to x.
+
+    It can be used with any type that supports the ``>=`` operator,
+    including numbers, dates and times, strings, sets, and so on.
+    """
+
+    ge: SupportsGe
+
+
+@dataclass(frozen=True, **SLOTS)
+class Lt(BaseMetadata):
+    """Lt(lt=x) implies that the value must be less than x.
+
+    It can be used with any type that supports the ``<`` operator,
+    including numbers, dates and times, strings, sets, and so on.
+    """
+
+    lt: SupportsLt
+
+
+@dataclass(frozen=True, **SLOTS)
+class Le(BaseMetadata):
+    """Le(le=x) implies that the value must be less than or equal to x.
+
+    It can be used with any type that supports the ``<=`` operator,
+    including numbers, dates and times, strings, sets, and so on.
+    """
+
+    le: SupportsLe
+
+
+@runtime_checkable
+class GroupedMetadata(Protocol):
+    """A grouping of multiple objects, like typing.Unpack.
+
+    `GroupedMetadata` on its own is not metadata and has no meaning.
+    All of the constraints and metadata should be fully expressable
+    in terms of the `BaseMetadata`'s returned by `GroupedMetadata.__iter__()`.
+
+    Concrete implementations should override `GroupedMetadata.__iter__()`
+    to add their own metadata.
+    For example:
+
+    >>> @dataclass
+    >>> class Field(GroupedMetadata):
+    >>>     gt: float | None = None
+    >>>     description: str | None = None
+    ...
+    >>>     def __iter__(self) -> Iterable[object]:
+    >>>         if self.gt is not None:
+    >>>             yield Gt(self.gt)
+    >>>         if self.description is not None:
+    >>>             yield Description(self.gt)
+
+    Also see the implementation of `Interval` below for an example.
+
+    Parsers should recognize this and unpack it so that it can be used
+    both with and without unpacking:
+
+    - `Annotated[int, Field(...)]` (parser must unpack Field)
+    - `Annotated[int, *Field(...)]` (PEP-646)
+    """  # noqa: trailing-whitespace
+
+    @property
+    def __is_annotated_types_grouped_metadata__(self) -> Literal[True]:
+        return True
+
+    def __iter__(self) -> Iterator[object]:
+        ...
+
+    if not TYPE_CHECKING:
+        __slots__ = ()  # allow subclasses to use slots
+
+        def __init_subclass__(cls, *args: Any, **kwargs: Any) -> None:
+            # Basic ABC like functionality without the complexity of an ABC
+            super().__init_subclass__(*args, **kwargs)
+            if cls.__iter__ is GroupedMetadata.__iter__:
+                raise TypeError("Can't subclass GroupedMetadata without implementing __iter__")
+
+        def __iter__(self) -> Iterator[object]:  # noqa: F811
+            raise NotImplementedError  # more helpful than "None has no attribute..." type errors
+
+
+@dataclass(frozen=True, **KW_ONLY, **SLOTS)
+class Interval(GroupedMetadata):
+    """Interval can express inclusive or exclusive bounds with a single object.
+
+    It accepts keyword arguments ``gt``, ``ge``, ``lt``, and/or ``le``, which
+    are interpreted the same way as the single-bound constraints.
+    """
+
+    gt: Union[SupportsGt, None] = None
+    ge: Union[SupportsGe, None] = None
+    lt: Union[SupportsLt, None] = None
+    le: Union[SupportsLe, None] = None
+
+    def __iter__(self) -> Iterator[BaseMetadata]:
+        """Unpack an Interval into zero or more single-bounds."""
+        if self.gt is not None:
+            yield Gt(self.gt)
+        if self.ge is not None:
+            yield Ge(self.ge)
+        if self.lt is not None:
+            yield Lt(self.lt)
+        if self.le is not None:
+            yield Le(self.le)
+
+
+@dataclass(frozen=True, **SLOTS)
+class MultipleOf(BaseMetadata):
+    """MultipleOf(multiple_of=x) might be interpreted in two ways:
+
+    1. Python semantics, implying ``value % multiple_of == 0``, or
+    2. JSONschema semantics, where ``int(value / multiple_of) == value / multiple_of``
+
+    We encourage users to be aware of these two common interpretations,
+    and libraries to carefully document which they implement.
+    """
+
+    multiple_of: Union[SupportsDiv, SupportsMod]
+
+
+@dataclass(frozen=True, **SLOTS)
+class MinLen(BaseMetadata):
+    """
+    MinLen() implies minimum inclusive length,
+    e.g. ``len(value) >= min_length``.
+    """
+
+    min_length: Annotated[int, Ge(0)]
+
+
+@dataclass(frozen=True, **SLOTS)
+class MaxLen(BaseMetadata):
+    """
+    MaxLen() implies maximum inclusive length,
+    e.g. ``len(value) <= max_length``.
+    """
+
+    max_length: Annotated[int, Ge(0)]
+
+
+@dataclass(frozen=True, **SLOTS)
+class Len(GroupedMetadata):
+    """
+    Len() implies that ``min_length <= len(value) <= max_length``.
+
+    Upper bound may be omitted or ``None`` to indicate no upper length bound.
+    """
+
+    min_length: Annotated[int, Ge(0)] = 0
+    max_length: Optional[Annotated[int, Ge(0)]] = None
+
+    def __iter__(self) -> Iterator[BaseMetadata]:
+        """Unpack a Len into zone or more single-bounds."""
+        if self.min_length > 0:
+            yield MinLen(self.min_length)
+        if self.max_length is not None:
+            yield MaxLen(self.max_length)
+
+
+@dataclass(frozen=True, **SLOTS)
+class Timezone(BaseMetadata):
+    """Timezone(tz=...) requires a datetime to be aware (or ``tz=None``, naive).
+
+    ``Annotated[datetime, Timezone(None)]`` must be a naive datetime.
+    ``Timezone[...]`` (the ellipsis literal) expresses that the datetime must be
+    tz-aware but any timezone is allowed.
+
+    You may also pass a specific timezone string or tzinfo object such as
+    ``Timezone(timezone.utc)`` or ``Timezone("Africa/Abidjan")`` to express that
+    you only allow a specific timezone, though we note that this is often
+    a symptom of poor design.
+    """
+
+    tz: Union[str, tzinfo, EllipsisType, None]
+
+
+@dataclass(frozen=True, **SLOTS)
+class Unit(BaseMetadata):
+    """Indicates that the value is a physical quantity with the specified unit.
+
+    It is intended for usage with numeric types, where the value represents the
+    magnitude of the quantity. For example, ``distance: Annotated[float, Unit('m')]``
+    or ``speed: Annotated[float, Unit('m/s')]``.
+
+    Interpretation of the unit string is left to the discretion of the consumer.
+    It is suggested to follow conventions established by python libraries that work
+    with physical quantities, such as
+
+    - ``pint`` : <https://pint.readthedocs.io/en/stable/>
+    - ``astropy.units``: <https://docs.astropy.org/en/stable/units/>
+
+    For indicating a quantity with a certain dimensionality but without a specific unit
+    it is recommended to use square brackets, e.g. `Annotated[float, Unit('[time]')]`.
+    Note, however, ``annotated_types`` itself makes no use of the unit string.
+    """
+
+    unit: str
+
+
+@dataclass(frozen=True, **SLOTS)
+class Predicate(BaseMetadata):
+    """``Predicate(func: Callable)`` implies `func(value)` is truthy for valid values.
+
+    Users should prefer statically inspectable metadata, but if you need the full
+    power and flexibility of arbitrary runtime predicates... here it is.
+
+    We provide a few predefined predicates for common string constraints:
+    ``IsLower = Predicate(str.islower)``, ``IsUpper = Predicate(str.isupper)``, and
+    ``IsDigits = Predicate(str.isdigit)``. Users are encouraged to use methods which
+    can be given special handling, and avoid indirection like ``lambda s: s.lower()``.
+
+    Some libraries might have special logic to handle certain predicates, e.g. by
+    checking for `str.isdigit` and using its presence to both call custom logic to
+    enforce digit-only strings, and customise some generated external schema.
+
+    We do not specify what behaviour should be expected for predicates that raise
+    an exception.  For example `Annotated[int, Predicate(str.isdigit)]` might silently
+    skip invalid constraints, or statically raise an error; or it might try calling it
+    and then propagate or discard the resulting exception.
+    """
+
+    func: Callable[[Any], bool]
+
+    def __repr__(self) -> str:
+        if getattr(self.func, "__name__", "<lambda>") == "<lambda>":
+            return f"{self.__class__.__name__}({self.func!r})"
+        if isinstance(self.func, (types.MethodType, types.BuiltinMethodType)) and (
+            namespace := getattr(self.func.__self__, "__name__", None)
+        ):
+            return f"{self.__class__.__name__}({namespace}.{self.func.__name__})"
+        if isinstance(self.func, type(str.isascii)):  # method descriptor
+            return f"{self.__class__.__name__}({self.func.__qualname__})"
+        return f"{self.__class__.__name__}({self.func.__name__})"
+
+
+@dataclass
+class Not:
+    func: Callable[[Any], bool]
+
+    def __call__(self, __v: Any) -> bool:
+        return not self.func(__v)
+
+
+_StrType = TypeVar("_StrType", bound=str)
+
+LowerCase = Annotated[_StrType, Predicate(str.islower)]
+"""
+Return True if the string is a lowercase string, False otherwise.
+
+A string is lowercase if all cased characters in the string are lowercase and there is at least one cased character in the string.
+"""  # noqa: E501
+UpperCase = Annotated[_StrType, Predicate(str.isupper)]
+"""
+Return True if the string is an uppercase string, False otherwise.
+
+A string is uppercase if all cased characters in the string are uppercase and there is at least one cased character in the string.
+"""  # noqa: E501
+IsDigit = Annotated[_StrType, Predicate(str.isdigit)]
+IsDigits = IsDigit  # type: ignore  # plural for backwards compatibility, see #63
+"""
+Return True if the string is a digit string, False otherwise.
+
+A string is a digit string if all characters in the string are digits and there is at least one character in the string.
+"""  # noqa: E501
+IsAscii = Annotated[_StrType, Predicate(str.isascii)]
+"""
+Return True if all characters in the string are ASCII, False otherwise.
+
+ASCII characters have code points in the range U+0000-U+007F. Empty string is ASCII too.
+"""
+
+_NumericType = TypeVar('_NumericType', bound=Union[SupportsFloat, SupportsIndex])
+IsFinite = Annotated[_NumericType, Predicate(math.isfinite)]
+"""Return True if x is neither an infinity nor a NaN, and False otherwise."""
+IsNotFinite = Annotated[_NumericType, Predicate(Not(math.isfinite))]
+"""Return True if x is one of infinity or NaN, and False otherwise"""
+IsNan = Annotated[_NumericType, Predicate(math.isnan)]
+"""Return True if x is a NaN (not a number), and False otherwise."""
+IsNotNan = Annotated[_NumericType, Predicate(Not(math.isnan))]
+"""Return True if x is anything but NaN (not a number), and False otherwise."""
+IsInfinite = Annotated[_NumericType, Predicate(math.isinf)]
+"""Return True if x is a positive or negative infinity, and False otherwise."""
+IsNotInfinite = Annotated[_NumericType, Predicate(Not(math.isinf))]
+"""Return True if x is neither a positive or negative infinity, and False otherwise."""
+
+try:
+    from typing_extensions import DocInfo, doc  # type: ignore [attr-defined]
+except ImportError:
+
+    @dataclass(frozen=True, **SLOTS)
+    class DocInfo:  # type: ignore [no-redef]
+        """ "
+        The return value of doc(), mainly to be used by tools that want to extract the
+        Annotated documentation at runtime.
+        """
+
+        documentation: str
+        """The documentation string passed to doc()."""
+
+    def doc(
+        documentation: str,
+    ) -> DocInfo:
+        """
+        Add documentation to a type annotation inside of Annotated.
+
+        For example:
+
+        >>> def hi(name: Annotated[int, doc("The name of the user")]) -> None: ...
+        """
+        return DocInfo(documentation)

venv/lib/python3.12/site-packages/annotated_types/test_cases.py

@@ -0,0 +1,151 @@
+import math
+import sys
+from datetime import date, datetime, timedelta, timezone
+from decimal import Decimal
+from typing import Any, Dict, Iterable, Iterator, List, NamedTuple, Set, Tuple
+
+if sys.version_info < (3, 9):
+    from typing_extensions import Annotated
+else:
+    from typing import Annotated
+
+import annotated_types as at
+
+
+class Case(NamedTuple):
+    """
+    A test case for `annotated_types`.
+    """
+
+    annotation: Any
+    valid_cases: Iterable[Any]
+    invalid_cases: Iterable[Any]
+
+
+def cases() -> Iterable[Case]:
+    # Gt, Ge, Lt, Le
+    yield Case(Annotated[int, at.Gt(4)], (5, 6, 1000), (4, 0, -1))
+    yield Case(Annotated[float, at.Gt(0.5)], (0.6, 0.7, 0.8, 0.9), (0.5, 0.0, -0.1))
+    yield Case(
+        Annotated[datetime, at.Gt(datetime(2000, 1, 1))],
+        [datetime(2000, 1, 2), datetime(2000, 1, 3)],
+        [datetime(2000, 1, 1), datetime(1999, 12, 31)],
+    )
+    yield Case(
+        Annotated[datetime, at.Gt(date(2000, 1, 1))],
+        [date(2000, 1, 2), date(2000, 1, 3)],
+        [date(2000, 1, 1), date(1999, 12, 31)],
+    )
+    yield Case(
+        Annotated[datetime, at.Gt(Decimal('1.123'))],
+        [Decimal('1.1231'), Decimal('123')],
+        [Decimal('1.123'), Decimal('0')],
+    )
+
+    yield Case(Annotated[int, at.Ge(4)], (4, 5, 6, 1000, 4), (0, -1))
+    yield Case(Annotated[float, at.Ge(0.5)], (0.5, 0.6, 0.7, 0.8, 0.9), (0.4, 0.0, -0.1))
+    yield Case(
+        Annotated[datetime, at.Ge(datetime(2000, 1, 1))],
+        [datetime(2000, 1, 2), datetime(2000, 1, 3)],
+        [datetime(1998, 1, 1), datetime(1999, 12, 31)],
+    )
+
+    yield Case(Annotated[int, at.Lt(4)], (0, -1), (4, 5, 6, 1000, 4))
+    yield Case(Annotated[float, at.Lt(0.5)], (0.4, 0.0, -0.1), (0.5, 0.6, 0.7, 0.8, 0.9))
+    yield Case(
+        Annotated[datetime, at.Lt(datetime(2000, 1, 1))],
+        [datetime(1999, 12, 31), datetime(1999, 12, 31)],
+        [datetime(2000, 1, 2), datetime(2000, 1, 3)],
+    )
+
+    yield Case(Annotated[int, at.Le(4)], (4, 0, -1), (5, 6, 1000))
+    yield Case(Annotated[float, at.Le(0.5)], (0.5, 0.0, -0.1), (0.6, 0.7, 0.8, 0.9))
+    yield Case(
+        Annotated[datetime, at.Le(datetime(2000, 1, 1))],
+        [datetime(2000, 1, 1), datetime(1999, 12, 31)],
+        [datetime(2000, 1, 2), datetime(2000, 1, 3)],
+    )
+
+    # Interval
+    yield Case(Annotated[int, at.Interval(gt=4)], (5, 6, 1000), (4, 0, -1))
+    yield Case(Annotated[int, at.Interval(gt=4, lt=10)], (5, 6), (4, 10, 1000, 0, -1))
+    yield Case(Annotated[float, at.Interval(ge=0.5, le=1)], (0.5, 0.9, 1), (0.49, 1.1))
+    yield Case(
+        Annotated[datetime, at.Interval(gt=datetime(2000, 1, 1), le=datetime(2000, 1, 3))],
+        [datetime(2000, 1, 2), datetime(2000, 1, 3)],
+        [datetime(2000, 1, 1), datetime(2000, 1, 4)],
+    )
+
+    yield Case(Annotated[int, at.MultipleOf(multiple_of=3)], (0, 3, 9), (1, 2, 4))
+    yield Case(Annotated[float, at.MultipleOf(multiple_of=0.5)], (0, 0.5, 1, 1.5), (0.4, 1.1))
+
+    # lengths
+
+    yield Case(Annotated[str, at.MinLen(3)], ('123', '1234', 'x' * 10), ('', '1', '12'))
+    yield Case(Annotated[str, at.Len(3)], ('123', '1234', 'x' * 10), ('', '1', '12'))
+    yield Case(Annotated[List[int], at.MinLen(3)], ([1, 2, 3], [1, 2, 3, 4], [1] * 10), ([], [1], [1, 2]))
+    yield Case(Annotated[List[int], at.Len(3)], ([1, 2, 3], [1, 2, 3, 4], [1] * 10), ([], [1], [1, 2]))
+
+    yield Case(Annotated[str, at.MaxLen(4)], ('', '1234'), ('12345', 'x' * 10))
+    yield Case(Annotated[str, at.Len(0, 4)], ('', '1234'), ('12345', 'x' * 10))
+    yield Case(Annotated[List[str], at.MaxLen(4)], ([], ['a', 'bcdef'], ['a', 'b', 'c']), (['a'] * 5, ['b'] * 10))
+    yield Case(Annotated[List[str], at.Len(0, 4)], ([], ['a', 'bcdef'], ['a', 'b', 'c']), (['a'] * 5, ['b'] * 10))
+
+    yield Case(Annotated[str, at.Len(3, 5)], ('123', '12345'), ('', '1', '12', '123456', 'x' * 10))
+    yield Case(Annotated[str, at.Len(3, 3)], ('123',), ('12', '1234'))
+
+    yield Case(Annotated[Dict[int, int], at.Len(2, 3)], [{1: 1, 2: 2}], [{}, {1: 1}, {1: 1, 2: 2, 3: 3, 4: 4}])
+    yield Case(Annotated[Set[int], at.Len(2, 3)], ({1, 2}, {1, 2, 3}), (set(), {1}, {1, 2, 3, 4}))
+    yield Case(Annotated[Tuple[int, ...], at.Len(2, 3)], ((1, 2), (1, 2, 3)), ((), (1,), (1, 2, 3, 4)))
+
+    # Timezone
+
+    yield Case(
+        Annotated[datetime, at.Timezone(None)], [datetime(2000, 1, 1)], [datetime(2000, 1, 1, tzinfo=timezone.utc)]
+    )
+    yield Case(
+        Annotated[datetime, at.Timezone(...)], [datetime(2000, 1, 1, tzinfo=timezone.utc)], [datetime(2000, 1, 1)]
+    )
+    yield Case(
+        Annotated[datetime, at.Timezone(timezone.utc)],
+        [datetime(2000, 1, 1, tzinfo=timezone.utc)],
+        [datetime(2000, 1, 1), datetime(2000, 1, 1, tzinfo=timezone(timedelta(hours=6)))],
+    )
+    yield Case(
+        Annotated[datetime, at.Timezone('Europe/London')],
+        [datetime(2000, 1, 1, tzinfo=timezone(timedelta(0), name='Europe/London'))],
+        [datetime(2000, 1, 1), datetime(2000, 1, 1, tzinfo=timezone(timedelta(hours=6)))],
+    )
+
+    # Quantity
+
+    yield Case(Annotated[float, at.Unit(unit='m')], (5, 4.2), ('5m', '4.2m'))
+
+    # predicate types
+
+    yield Case(at.LowerCase[str], ['abc', 'foobar'], ['', 'A', 'Boom'])
+    yield Case(at.UpperCase[str], ['ABC', 'DEFO'], ['', 'a', 'abc', 'AbC'])
+    yield Case(at.IsDigit[str], ['123'], ['', 'ab', 'a1b2'])
+    yield Case(at.IsAscii[str], ['123', 'foo bar'], ['£100', '😊', 'whatever 👀'])
+
+    yield Case(Annotated[int, at.Predicate(lambda x: x % 2 == 0)], [0, 2, 4], [1, 3, 5])
+
+    yield Case(at.IsFinite[float], [1.23], [math.nan, math.inf, -math.inf])
+    yield Case(at.IsNotFinite[float], [math.nan, math.inf], [1.23])
+    yield Case(at.IsNan[float], [math.nan], [1.23, math.inf])
+    yield Case(at.IsNotNan[float], [1.23, math.inf], [math.nan])
+    yield Case(at.IsInfinite[float], [math.inf], [math.nan, 1.23])
+    yield Case(at.IsNotInfinite[float], [math.nan, 1.23], [math.inf])
+
+    # check stacked predicates
+    yield Case(at.IsInfinite[Annotated[float, at.Predicate(lambda x: x > 0)]], [math.inf], [-math.inf, 1.23, math.nan])
+
+    # doc
+    yield Case(Annotated[int, at.doc("A number")], [1, 2], [])
+
+    # custom GroupedMetadata
+    class MyCustomGroupedMetadata(at.GroupedMetadata):
+        def __iter__(self) -> Iterator[at.Predicate]:
+            yield at.Predicate(lambda x: float(x).is_integer())
+
+    yield Case(Annotated[float, MyCustomGroupedMetadata()], [0, 2.0], [0.01, 1.5])

venv/lib/python3.12/site-packages/anyio-4.13.0.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

venv/lib/python3.12/site-packages/anyio-4.13.0.dist-info/METADATA

@@ -0,0 +1,105 @@
+Metadata-Version: 2.4
+Name: anyio
+Version: 4.13.0
+Summary: High-level concurrency and networking framework on top of asyncio or Trio
+Author-email: Alex Grönholm <alex.gronholm@nextday.fi>
+License-Expression: MIT
+Project-URL: Documentation, https://anyio.readthedocs.io/en/latest/
+Project-URL: Changelog, https://anyio.readthedocs.io/en/stable/versionhistory.html
+Project-URL: Source code, https://github.com/agronholm/anyio
+Project-URL: Issue tracker, https://github.com/agronholm/anyio/issues
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: Framework :: AnyIO
+Classifier: Typing :: Typed
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Programming Language :: Python :: 3.13
+Classifier: Programming Language :: Python :: 3.14
+Requires-Python: >=3.10
+Description-Content-Type: text/x-rst
+License-File: LICENSE
+Requires-Dist: exceptiongroup>=1.0.2; python_version < "3.11"
+Requires-Dist: idna>=2.8
+Requires-Dist: typing_extensions>=4.5; python_version < "3.13"
+Provides-Extra: trio
+Requires-Dist: trio>=0.32.0; extra == "trio"
+Dynamic: license-file
+
+.. image:: https://github.com/agronholm/anyio/actions/workflows/test.yml/badge.svg
+  :target: https://github.com/agronholm/anyio/actions/workflows/test.yml
+  :alt: Build Status
+.. image:: https://coveralls.io/repos/github/agronholm/anyio/badge.svg?branch=master
+  :target: https://coveralls.io/github/agronholm/anyio?branch=master
+  :alt: Code Coverage
+.. image:: https://readthedocs.org/projects/anyio/badge/?version=latest
+  :target: https://anyio.readthedocs.io/en/latest/?badge=latest
+  :alt: Documentation
+.. image:: https://badges.gitter.im/gitterHQ/gitter.svg
+  :target: https://gitter.im/python-trio/AnyIO
+  :alt: Gitter chat
+.. image:: https://tidelift.com/badges/package/pypi/anyio
+  :target: https://tidelift.com/subscription/pkg/pypi-anyio
+  :alt: Tidelift
+
+AnyIO is an asynchronous networking and concurrency library that works on top of either asyncio_ or
+Trio_. It implements Trio-like `structured concurrency`_ (SC) on top of asyncio and works in harmony
+with the native SC of Trio itself.
+
+Applications and libraries written against AnyIO's API will run unmodified on either asyncio_ or
+Trio_. AnyIO can also be adopted into a library or application incrementally – bit by bit, no full
+refactoring necessary. It will blend in with the native libraries of your chosen backend.
+
+To find out why you might want to use AnyIO's APIs instead of asyncio's, you can read about it
+`here <https://anyio.readthedocs.io/en/stable/why.html>`_.
+
+Documentation
+-------------
+
+View full documentation at: https://anyio.readthedocs.io/
+
+Features
+--------
+
+AnyIO offers the following functionality:
+
+* Task groups (nurseries_ in trio terminology)
+* High-level networking (TCP, UDP and UNIX sockets)
+
+  * `Happy eyeballs`_ algorithm for TCP connections (more robust than that of asyncio on Python
+    3.8)
+  * async/await style UDP sockets (unlike asyncio where you still have to use Transports and
+    Protocols)
+
+* A versatile API for byte streams and object streams
+* Inter-task synchronization and communication (locks, conditions, events, semaphores, object
+  streams)
+* Worker threads
+* Subprocesses
+* Subinterpreter support for code parallelization (on Python 3.13 and later)
+* Asynchronous file I/O (using worker threads)
+* Signal handling
+* Asynchronous version of the functools_ module
+
+AnyIO also comes with its own pytest_ plugin which also supports asynchronous fixtures.
+It even works with the popular Hypothesis_ library.
+
+.. _asyncio: https://docs.python.org/3/library/asyncio.html
+.. _Trio: https://github.com/python-trio/trio
+.. _structured concurrency: https://en.wikipedia.org/wiki/Structured_concurrency
+.. _nurseries: https://trio.readthedocs.io/en/stable/reference-core.html#nurseries-and-spawning
+.. _Happy eyeballs: https://en.wikipedia.org/wiki/Happy_Eyeballs
+.. _pytest: https://docs.pytest.org/en/latest/
+.. _functools: https://docs.python.org/3/library/functools.html
+.. _Hypothesis: https://hypothesis.works/
+
+Security contact information
+----------------------------
+
+To report a security vulnerability, please use the `Tidelift security contact`_.
+Tidelift will coordinate the fix and disclosure.
+
+.. _Tidelift security contact: https://tidelift.com/security

venv/lib/python3.12/site-packages/anyio-4.13.0.dist-info/RECORD

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venv/lib/python3.12/site-packages/anyio-4.13.0.dist-info/WHEEL

@@ -0,0 +1,5 @@
+Wheel-Version: 1.0
+Generator: setuptools (82.0.1)
+Root-Is-Purelib: true
+Tag: py3-none-any
+

venv/lib/python3.12/site-packages/anyio-4.13.0.dist-info/entry_points.txt

@@ -0,0 +1,2 @@
+[pytest11]
+anyio = anyio.pytest_plugin

venv/lib/python3.12/site-packages/anyio-4.13.0.dist-info/top_level.txt

@@ -0,0 +1 @@
+anyio

venv/lib/python3.12/site-packages/certifi-2026.4.22.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

venv/lib/python3.12/site-packages/certifi-2026.4.22.dist-info/METADATA

@@ -0,0 +1,78 @@
+Metadata-Version: 2.4
+Name: certifi
+Version: 2026.4.22
+Summary: Python package for providing Mozilla's CA Bundle.
+Home-page: https://github.com/certifi/python-certifi
+Author: Kenneth Reitz
+Author-email: me@kennethreitz.com
+License: MPL-2.0
+Project-URL: Source, https://github.com/certifi/python-certifi
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)
+Classifier: Natural Language :: English
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: 3.7
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Programming Language :: Python :: 3.13
+Classifier: Programming Language :: Python :: 3.14
+Requires-Python: >=3.7
+License-File: LICENSE
+Dynamic: author
+Dynamic: author-email
+Dynamic: classifier
+Dynamic: description
+Dynamic: home-page
+Dynamic: license
+Dynamic: license-file
+Dynamic: project-url
+Dynamic: requires-python
+Dynamic: summary
+
+Certifi: Python SSL Certificates
+================================
+
+Certifi provides Mozilla's carefully curated collection of Root Certificates for
+validating the trustworthiness of SSL certificates while verifying the identity
+of TLS hosts. It has been extracted from the `Requests`_ project.
+
+Installation
+------------
+
+``certifi`` is available on PyPI. Simply install it with ``pip``::
+
+    $ pip install certifi
+
+Usage
+-----
+
+To reference the installed certificate authority (CA) bundle, you can use the
+built-in function::
+
+    >>> import certifi
+
+    >>> certifi.where()
+    '/usr/local/lib/python3.7/site-packages/certifi/cacert.pem'
+
+Or from the command line::
+
+    $ python -m certifi
+    /usr/local/lib/python3.7/site-packages/certifi/cacert.pem
+
+Enjoy!
+
+.. _`Requests`: https://requests.readthedocs.io/en/master/
+
+Addition/Removal of Certificates
+--------------------------------
+
+Certifi does not support any addition/removal or other modification of the
+CA trust store content. This project is intended to provide a reliable and
+highly portable root of trust to python deployments. Look to upstream projects
+for methods to use alternate trust.

venv/lib/python3.12/site-packages/certifi-2026.4.22.dist-info/RECORD

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+certifi-2026.4.22.dist-info/RECORD,,
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+certifi-2026.4.22.dist-info/licenses/LICENSE,sha256=6TcW2mucDVpKHfYP5pWzcPBpVgPSH2-D8FPkLPwQyvc,989
+certifi-2026.4.22.dist-info/top_level.txt,sha256=KMu4vUCfsjLrkPbSNdgdekS-pVJzBAJFO__nI8NF6-U,8
+certifi/__init__.py,sha256=iBJYWtxRGHMaO1S73pWYpFn962WQ4ldof2GkfMSREJM,94
+certifi/__main__.py,sha256=xBBoj905TUWBLRGANOcf7oi6e-3dMP4cEoG9OyMs11g,243
+certifi/__pycache__/__init__.cpython-312.pyc,,
+certifi/__pycache__/__main__.cpython-312.pyc,,
+certifi/__pycache__/core.cpython-312.pyc,,
+certifi/cacert.pem,sha256=Fr4_b-sVQIGV3P46oade-dty9ka5brvv3Gj1YlX3mfg,238641
+certifi/core.py,sha256=XFXycndG5pf37ayeF8N32HUuDafsyhkVMbO4BAPWHa0,3394
+certifi/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0

venv/lib/python3.12/site-packages/certifi-2026.4.22.dist-info/WHEEL

@@ -0,0 +1,5 @@
+Wheel-Version: 1.0
+Generator: setuptools (82.0.1)
+Root-Is-Purelib: true
+Tag: py3-none-any
+

venv/lib/python3.12/site-packages/certifi-2026.4.22.dist-info/top_level.txt

@@ -0,0 +1 @@
+certifi

venv/lib/python3.12/site-packages/certifi/__init__.py

@@ -0,0 +1,4 @@
+from .core import contents, where
+
+__all__ = ["contents", "where"]
+__version__ = "2026.04.22"

venv/lib/python3.12/site-packages/certifi/__main__.py

@@ -0,0 +1,12 @@
+import argparse
+
+from certifi import contents, where
+
+parser = argparse.ArgumentParser()
+parser.add_argument("-c", "--contents", action="store_true")
+args = parser.parse_args()
+
+if args.contents:
+    print(contents())
+else:
+    print(where())

venv/lib/python3.12/site-packages/certifi/core.py

@@ -0,0 +1,83 @@
+"""
+certifi.py
+~~~~~~~~~~
+
+This module returns the installation location of cacert.pem or its contents.
+"""
+import sys
+import atexit
+
+def exit_cacert_ctx() -> None:
+    _CACERT_CTX.__exit__(None, None, None)  # type: ignore[union-attr]
+
+
+if sys.version_info >= (3, 11):
+
+    from importlib.resources import as_file, files
+
+    _CACERT_CTX = None
+    _CACERT_PATH = None
+
+    def where() -> str:
+        # This is slightly terrible, but we want to delay extracting the file
+        # in cases where we're inside of a zipimport situation until someone
+        # actually calls where(), but we don't want to re-extract the file
+        # on every call of where(), so we'll do it once then store it in a
+        # global variable.
+        global _CACERT_CTX
+        global _CACERT_PATH
+        if _CACERT_PATH is None:
+            # This is slightly janky, the importlib.resources API wants you to
+            # manage the cleanup of this file, so it doesn't actually return a
+            # path, it returns a context manager that will give you the path
+            # when you enter it and will do any cleanup when you leave it. In
+            # the common case of not needing a temporary file, it will just
+            # return the file system location and the __exit__() is a no-op.
+            #
+            # We also have to hold onto the actual context manager, because
+            # it will do the cleanup whenever it gets garbage collected, so
+            # we will also store that at the global level as well.
+            _CACERT_CTX = as_file(files("certifi").joinpath("cacert.pem"))
+            _CACERT_PATH = str(_CACERT_CTX.__enter__())
+            atexit.register(exit_cacert_ctx)
+
+        return _CACERT_PATH
+
+    def contents() -> str:
+        return files("certifi").joinpath("cacert.pem").read_text(encoding="ascii")
+
+else:
+
+    from importlib.resources import path as get_path, read_text
+
+    _CACERT_CTX = None
+    _CACERT_PATH = None
+
+    def where() -> str:
+        # This is slightly terrible, but we want to delay extracting the
+        # file in cases where we're inside of a zipimport situation until
+        # someone actually calls where(), but we don't want to re-extract
+        # the file on every call of where(), so we'll do it once then store
+        # it in a global variable.
+        global _CACERT_CTX
+        global _CACERT_PATH
+        if _CACERT_PATH is None:
+            # This is slightly janky, the importlib.resources API wants you
+            # to manage the cleanup of this file, so it doesn't actually
+            # return a path, it returns a context manager that will give
+            # you the path when you enter it and will do any cleanup when
+            # you leave it. In the common case of not needing a temporary
+            # file, it will just return the file system location and the
+            # __exit__() is a no-op.
+            #
+            # We also have to hold onto the actual context manager, because
+            # it will do the cleanup whenever it gets garbage collected, so
+            # we will also store that at the global level as well.
+            _CACERT_CTX = get_path("certifi", "cacert.pem")
+            _CACERT_PATH = str(_CACERT_CTX.__enter__())
+            atexit.register(exit_cacert_ctx)
+
+        return _CACERT_PATH
+
+    def contents() -> str:
+        return read_text("certifi", "cacert.pem", encoding="ascii")

venv/lib/python3.12/site-packages/httpcore-1.0.9.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

venv/lib/python3.12/site-packages/httpcore-1.0.9.dist-info/METADATA

@@ -0,0 +1,625 @@
+Metadata-Version: 2.4
+Name: httpcore
+Version: 1.0.9
+Summary: A minimal low-level HTTP client.
+Project-URL: Documentation, https://www.encode.io/httpcore
+Project-URL: Homepage, https://www.encode.io/httpcore/
+Project-URL: Source, https://github.com/encode/httpcore
+Author-email: Tom Christie <tom@tomchristie.com>
+License-Expression: BSD-3-Clause
+License-File: LICENSE.md
+Classifier: Development Status :: 3 - Alpha
+Classifier: Environment :: Web Environment
+Classifier: Framework :: AsyncIO
+Classifier: Framework :: Trio
+Classifier: Intended Audience :: Developers
+Classifier: License :: OSI Approved :: BSD License
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Topic :: Internet :: WWW/HTTP
+Requires-Python: >=3.8
+Requires-Dist: certifi
+Requires-Dist: h11>=0.16
+Provides-Extra: asyncio
+Requires-Dist: anyio<5.0,>=4.0; extra == 'asyncio'
+Provides-Extra: http2
+Requires-Dist: h2<5,>=3; extra == 'http2'
+Provides-Extra: socks
+Requires-Dist: socksio==1.*; extra == 'socks'
+Provides-Extra: trio
+Requires-Dist: trio<1.0,>=0.22.0; extra == 'trio'
+Description-Content-Type: text/markdown
+
+# HTTP Core
+
+[![Test Suite](https://github.com/encode/httpcore/workflows/Test%20Suite/badge.svg)](https://github.com/encode/httpcore/actions)
+[![Package version](https://badge.fury.io/py/httpcore.svg)](https://pypi.org/project/httpcore/)
+
+> *Do one thing, and do it well.*
+
+The HTTP Core package provides a minimal low-level HTTP client, which does
+one thing only. Sending HTTP requests.
+
+It does not provide any high level model abstractions over the API,
+does not handle redirects, multipart uploads, building authentication headers,
+transparent HTTP caching, URL parsing, session cookie handling,
+content or charset decoding, handling JSON, environment based configuration
+defaults, or any of that Jazz.
+
+Some things HTTP Core does do:
+
+* Sending HTTP requests.
+* Thread-safe / task-safe connection pooling.
+* HTTP(S) proxy & SOCKS proxy support.
+* Supports HTTP/1.1 and HTTP/2.
+* Provides both sync and async interfaces.
+* Async backend support for `asyncio` and `trio`.
+
+## Requirements
+
+Python 3.8+
+
+## Installation
+
+For HTTP/1.1 only support, install with:
+
+```shell
+$ pip install httpcore
+```
+
+There are also a number of optional extras available...
+
+```shell
+$ pip install httpcore['asyncio,trio,http2,socks']
+```
+
+## Sending requests
+
+Send an HTTP request:
+
+```python
+import httpcore
+
+response = httpcore.request("GET", "https://www.example.com/")
+
+print(response)
+# <Response [200]>
+print(response.status)
+# 200
+print(response.headers)
+# [(b'Accept-Ranges', b'bytes'), (b'Age', b'557328'), (b'Cache-Control', b'max-age=604800'), ...]
+print(response.content)
+# b'<!doctype html>\n<html>\n<head>\n<title>Example Domain</title>\n\n<meta charset="utf-8"/>\n ...'
+```
+
+The top-level `httpcore.request()` function is provided for convenience. In practice whenever you're working with `httpcore` you'll want to use the connection pooling functionality that it provides.
+
+```python
+import httpcore
+
+http = httpcore.ConnectionPool()
+response = http.request("GET", "https://www.example.com/")
+```
+
+Once you're ready to get going, [head over to the documentation](https://www.encode.io/httpcore/).
+
+## Motivation
+
+You *probably* don't want to be using HTTP Core directly. It might make sense if
+you're writing something like a proxy service in Python, and you just want
+something at the lowest possible level, but more typically you'll want to use
+a higher level client library, such as `httpx`.
+
+The motivation for `httpcore` is:
+
+* To provide a reusable low-level client library, that other packages can then build on top of.
+* To provide a *really clear interface split* between the networking code and client logic,
+  so that each is easier to understand and reason about in isolation.
+
+## Dependencies
+
+The `httpcore` package has the following dependencies...
+
+* `h11`
+* `certifi`
+
+And the following optional extras...
+
+* `anyio` - Required by `pip install httpcore['asyncio']`.
+* `trio` - Required by `pip install httpcore['trio']`.
+* `h2` - Required by `pip install httpcore['http2']`.
+* `socksio` - Required by `pip install httpcore['socks']`.
+
+## Versioning
+
+We use [SEMVER for our versioning policy](https://semver.org/).
+
+For changes between package versions please see our [project changelog](CHANGELOG.md).
+
+We recommend pinning your requirements either the most current major version, or a more specific version range:
+
+```python
+pip install 'httpcore==1.*'
+```
+# Changelog
+
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
+
+## Version 1.0.9 (April 24th, 2025)
+
+- Resolve https://github.com/advisories/GHSA-vqfr-h8mv-ghfj with h11 dependency update. (#1008)
+
+## Version 1.0.8 (April 11th, 2025)
+
+- Fix `AttributeError` when importing on Python 3.14. (#1005)
+
+## Version 1.0.7 (November 15th, 2024)
+
+- Support `proxy=…` configuration on `ConnectionPool()`. (#974)
+
+## Version 1.0.6 (October 1st, 2024)
+
+- Relax `trio` dependency pinning. (#956)
+- Handle `trio` raising `NotImplementedError` on unsupported platforms. (#955)
+- Handle mapping `ssl.SSLError` to `httpcore.ConnectError`. (#918)
+
+## 1.0.5 (March 27th, 2024)
+
+- Handle `EndOfStream` exception for anyio backend. (#899)
+- Allow trio `0.25.*` series in package dependancies. (#903)
+
+## 1.0.4 (February 21st, 2024)
+
+- Add `target` request extension. (#888)
+- Fix support for connection `Upgrade` and `CONNECT` when some data in the stream has been read. (#882)
+
+## 1.0.3 (February 13th, 2024)
+
+- Fix support for async cancellations. (#880)
+- Fix trace extension when used with socks proxy. (#849)
+- Fix SSL context for connections using the "wss" scheme (#869)
+
+## 1.0.2 (November 10th, 2023)
+
+- Fix `float("inf")` timeouts in `Event.wait` function. (#846)
+
+## 1.0.1 (November 3rd, 2023)
+
+- Fix pool timeout to account for the total time spent retrying. (#823)
+- Raise a neater RuntimeError when the correct async deps are not installed. (#826)
+- Add support for synchronous TLS-in-TLS streams. (#840)
+
+## 1.0.0 (October 6th, 2023)
+
+From version 1.0 our async support is now optional, as the package has minimal dependencies by default.
+
+For async support use either `pip install 'httpcore[asyncio]'` or `pip install 'httpcore[trio]'`.
+
+The project versioning policy is now explicitly governed by SEMVER. See https://semver.org/.
+
+- Async support becomes fully optional. (#809)
+- Add support for Python 3.12. (#807)
+
+## 0.18.0 (September 8th, 2023)
+
+- Add support for HTTPS proxies. (#745, #786)
+- Drop Python 3.7 support. (#727)
+- Handle `sni_hostname` extension with SOCKS proxy. (#774)
+- Handle HTTP/1.1 half-closed connections gracefully. (#641)
+- Change the type of `Extensions` from `Mapping[Str, Any]` to `MutableMapping[Str, Any]`. (#762)
+
+## 0.17.3 (July 5th, 2023)
+
+- Support async cancellations, ensuring that the connection pool is left in a clean state when cancellations occur. (#726)
+- The networking backend interface has [been added to the public API](https://www.encode.io/httpcore/network-backends). Some classes which were previously private implementation detail are now part of the top-level public API. (#699)
+- Graceful handling of HTTP/2 GoAway frames, with requests being transparently retried on a new connection. (#730)
+- Add exceptions when a synchronous `trace callback` is passed to an asynchronous request or an asynchronous `trace callback` is passed to a synchronous request. (#717)
+- Drop Python 3.7 support. (#727)
+
+## 0.17.2 (May 23th, 2023)
+
+- Add `socket_options` argument to `ConnectionPool` and `HTTProxy` classes. (#668)
+- Improve logging with per-module logger names. (#690)
+- Add `sni_hostname` request extension. (#696)
+- Resolve race condition during import of `anyio` package. (#692)
+- Enable TCP_NODELAY for all synchronous sockets. (#651)
+
+## 0.17.1 (May 17th, 2023)
+
+- If 'retries' is set, then allow retries if an SSL handshake error occurs. (#669)
+- Improve correctness of tracebacks on network exceptions, by raising properly chained exceptions. (#678)
+- Prevent connection-hanging behaviour when HTTP/2 connections are closed by a server-sent 'GoAway' frame. (#679)
+- Fix edge-case exception when removing requests from the connection pool. (#680)
+- Fix pool timeout edge-case. (#688)
+
+## 0.17.0 (March 16th, 2023)
+
+- Add DEBUG level logging. (#648)
+- Respect HTTP/2 max concurrent streams when settings updates are sent by server. (#652)
+- Increase the allowable HTTP header size to 100kB. (#647)
+- Add `retries` option to SOCKS proxy classes. (#643)
+
+## 0.16.3 (December 20th, 2022)
+
+- Allow `ws` and `wss` schemes. Allows us to properly support websocket upgrade connections. (#625)
+- Forwarding HTTP proxies use a connection-per-remote-host. Required by some proxy implementations. (#637)
+- Don't raise `RuntimeError` when closing a connection pool with active connections. Removes some error cases when cancellations are used. (#631)
+- Lazy import `anyio`, so that it's no longer a hard dependancy, and isn't imported if unused. (#639)
+
+## 0.16.2 (November 25th, 2022)
+
+- Revert 'Fix async cancellation behaviour', which introduced race conditions. (#627)
+- Raise `RuntimeError` if attempting to us UNIX domain sockets on Windows. (#619)
+
+## 0.16.1 (November 17th, 2022)
+
+- Fix HTTP/1.1 interim informational responses, such as "100 Continue". (#605)
+
+## 0.16.0 (October 11th, 2022)
+
+- Support HTTP/1.1 informational responses. (#581)
+- Fix async cancellation behaviour. (#580)
+- Support `h11` 0.14. (#579)
+
+## 0.15.0 (May 17th, 2022)
+
+- Drop Python 3.6 support (#535)
+- Ensure HTTP proxy CONNECT requests include `timeout` configuration. (#506)
+- Switch to explicit `typing.Optional` for type hints. (#513)
+- For `trio` map OSError exceptions to `ConnectError`. (#543)
+
+## 0.14.7 (February 4th, 2022)
+
+- Requests which raise a PoolTimeout need to be removed from the pool queue. (#502)
+- Fix AttributeError that happened when Socks5Connection were terminated. (#501)
+
+## 0.14.6 (February 1st, 2022)
+
+- Fix SOCKS support for `http://` URLs. (#492)
+- Resolve race condition around exceptions during streaming a response. (#491)
+
+## 0.14.5 (January 18th, 2022)
+
+- SOCKS proxy support. (#478)
+- Add proxy_auth argument to HTTPProxy. (#481)
+- Improve error message on 'RemoteProtocolError' exception when server disconnects without sending a response. (#479)
+
+## 0.14.4 (January 5th, 2022)
+
+- Support HTTP/2 on HTTPS tunnelling proxies. (#468)
+- Fix proxy headers missing on HTTP forwarding. (#456)
+- Only instantiate SSL context if required. (#457)
+- More robust HTTP/2 handling. (#253, #439, #440, #441)
+
+## 0.14.3 (November 17th, 2021)
+
+- Fix race condition when removing closed connections from the pool. (#437)
+
+## 0.14.2 (November 16th, 2021)
+
+- Failed connections no longer remain in the pool. (Pull #433)
+
+## 0.14.1 (November 12th, 2021)
+
+- `max_connections` becomes optional. (Pull #429)
+- `certifi` is now included in the install dependancies. (Pull #428)
+- `h2` is now strictly optional. (Pull #428)
+
+## 0.14.0 (November 11th, 2021)
+
+The 0.14 release is a complete reworking of `httpcore`, comprehensively addressing some underlying issues in the connection pooling, as well as substantially redesigning the API to be more user friendly.
+
+Some of the lower-level API design also makes the components more easily testable in isolation, and the package now has 100% test coverage.
+
+See [discussion #419](https://github.com/encode/httpcore/discussions/419) for a little more background.
+
+There's some other neat bits in there too, such as the "trace" extension, which gives a hook into inspecting the internal events that occur during the request/response cycle. This extension is needed for the HTTPX cli, in order to...
+
+* Log the point at which the connection is established, and the IP/port on which it is made.
+* Determine if the outgoing request should log as HTTP/1.1 or HTTP/2, rather than having to assume it's HTTP/2 if the --http2 flag was passed. (Which may not actually be true.)
+* Log SSL version info / certificate info.
+
+Note that `curio` support is not currently available in 0.14.0. If you're using `httpcore` with `curio` please get in touch, so we can assess if we ought to prioritize it as a feature or not.
+
+## 0.13.7 (September 13th, 2021)
+
+- Fix broken error messaging when URL scheme is missing, or a non HTTP(S) scheme is used. (Pull #403)
+
+## 0.13.6 (June 15th, 2021)
+
+### Fixed
+
+- Close sockets when read or write timeouts occur. (Pull #365)
+
+## 0.13.5 (June 14th, 2021)
+
+### Fixed
+
+- Resolved niggles with AnyIO EOF behaviours. (Pull #358, #362)
+
+## 0.13.4 (June 9th, 2021)
+
+### Added
+
+- Improved error messaging when URL scheme is missing, or a non HTTP(S) scheme is used. (Pull #354)
+
+### Fixed
+
+- Switched to `anyio` as the default backend implementation when running with `asyncio`. Resolves some awkward [TLS timeout issues](https://github.com/encode/httpx/discussions/1511).
+
+## 0.13.3 (May 6th, 2021)
+
+### Added
+
+- Support HTTP/2 prior knowledge, using `httpcore.SyncConnectionPool(http1=False)`. (Pull #333)
+
+### Fixed
+
+- Handle cases where environment does not provide `select.poll` support. (Pull #331)
+
+## 0.13.2 (April 29th, 2021)
+
+### Added
+
+- Improve error message for specific case of `RemoteProtocolError` where server disconnects without sending a response. (Pull #313)
+
+## 0.13.1 (April 28th, 2021)
+
+### Fixed
+
+- More resiliant testing for closed connections. (Pull #311)
+- Don't raise exceptions on ungraceful connection closes. (Pull #310)
+
+## 0.13.0 (April 21st, 2021)
+
+The 0.13 release updates the core API in order to match the HTTPX Transport API,
+introduced in HTTPX 0.18 onwards.
+
+An example of making requests with the new interface is:
+
+```python
+with httpcore.SyncConnectionPool() as http:
+    status_code, headers, stream, extensions = http.handle_request(
+        method=b'GET',
+        url=(b'https', b'example.org', 443, b'/'),
+        headers=[(b'host', b'example.org'), (b'user-agent', b'httpcore')]
+        stream=httpcore.ByteStream(b''),
+        extensions={}
+    )
+    body = stream.read()
+    print(status_code, body)
+```
+
+### Changed
+
+- The `.request()` method is now `handle_request()`. (Pull #296)
+- The `.arequest()` method is now `.handle_async_request()`. (Pull #296)
+- The `headers` argument is no longer optional. (Pull #296)
+- The `stream` argument is no longer optional. (Pull #296)
+- The `ext` argument is now named `extensions`, and is no longer optional. (Pull #296)
+- The `"reason"` extension keyword is now named `"reason_phrase"`. (Pull #296)
+- The `"reason_phrase"` and `"http_version"` extensions now use byte strings for their values. (Pull #296)
+- The `httpcore.PlainByteStream()` class becomes `httpcore.ByteStream()`. (Pull #296)
+
+### Added
+
+- Streams now support a `.read()` interface. (Pull #296)
+
+### Fixed
+
+- Task cancellation no longer leaks connections from the connection pool. (Pull #305)
+
+## 0.12.3 (December 7th, 2020)
+
+### Fixed
+
+- Abort SSL connections on close rather than waiting for remote EOF when using `asyncio`.  (Pull #167)
+- Fix exception raised in case of connect timeouts when using the `anyio` backend. (Pull #236)
+- Fix `Host` header precedence for `:authority` in HTTP/2. (Pull #241, #243)
+- Handle extra edge case when detecting for socket readability when using `asyncio`. (Pull #242, #244)
+- Fix `asyncio` SSL warning when using proxy tunneling. (Pull #249)
+
+## 0.12.2 (November 20th, 2020)
+
+### Fixed
+
+- Properly wrap connect errors on the asyncio backend. (Pull #235)
+- Fix `ImportError` occurring on Python 3.9 when using the HTTP/1.1 sync client in a multithreaded context. (Pull #237)
+
+## 0.12.1 (November 7th, 2020)
+
+### Added
+
+- Add connect retries. (Pull #221)
+
+### Fixed
+
+- Tweak detection of dropped connections, resolving an issue with open files limits on Linux. (Pull #185)
+- Avoid leaking connections when establishing an HTTP tunnel to a proxy has failed. (Pull #223)
+- Properly wrap OS errors when using `trio`. (Pull #225)
+
+## 0.12.0 (October 6th, 2020)
+
+### Changed
+
+- HTTP header casing is now preserved, rather than always sent in lowercase. (#216 and python-hyper/h11#104)
+
+### Added
+
+- Add Python 3.9 to officially supported versions.
+
+### Fixed
+
+- Gracefully handle a stdlib asyncio bug when a connection is closed while it is in a paused-for-reading state. (#201)
+
+## 0.11.1 (September 28nd, 2020)
+
+### Fixed
+
+- Add await to async semaphore release() coroutine (#197)
+- Drop incorrect curio classifier (#192)
+
+## 0.11.0 (September 22nd, 2020)
+
+The Transport API with 0.11.0 has a couple of significant changes.
+
+Firstly we've moved changed the request interface in order to allow extensions, which will later enable us to support features
+such as trailing headers, HTTP/2 server push, and CONNECT/Upgrade connections.
+
+The interface changes from:
+
+```python
+def request(method, url, headers, stream, timeout):
+    return (http_version, status_code, reason, headers, stream)
+```
+
+To instead including an optional dictionary of extensions on the request and response:
+
+```python
+def request(method, url, headers, stream, ext):
+    return (status_code, headers, stream, ext)
+```
+
+Having an open-ended extensions point will allow us to add later support for various optional features, that wouldn't otherwise be supported without these API changes.
+
+In particular:
+
+* Trailing headers support.
+* HTTP/2 Server Push
+* sendfile.
+* Exposing raw connection on CONNECT, Upgrade, HTTP/2 bi-di streaming.
+* Exposing debug information out of the API, including template name, template context.
+
+Currently extensions are limited to:
+
+* request: `timeout` - Optional. Timeout dictionary.
+* response: `http_version` - Optional. Include the HTTP version used on the response.
+* response: `reason` - Optional. Include the reason phrase used on the response. Only valid with HTTP/1.*.
+
+See https://github.com/encode/httpx/issues/1274#issuecomment-694884553 for the history behind this.
+
+Secondly, the async version of `request` is now namespaced as `arequest`.
+
+This allows concrete transports to support both sync and async implementations on the same class.
+
+### Added
+
+- Add curio support. (Pull #168)
+- Add anyio support, with `backend="anyio"`. (Pull #169)
+
+### Changed
+
+- Update the Transport API to use 'ext' for optional extensions. (Pull #190)
+- Update the Transport API to use `.request` and `.arequest` so implementations can support both sync and async. (Pull #189)
+
+## 0.10.2 (August 20th, 2020)
+
+### Added
+
+- Added Unix Domain Socket support. (Pull #139)
+
+### Fixed
+
+- Always include the port on proxy CONNECT requests. (Pull #154)
+- Fix `max_keepalive_connections` configuration. (Pull #153)
+- Fixes behaviour in HTTP/1.1 where server disconnects can be used to signal the end of the response body. (Pull #164)
+
+## 0.10.1 (August 7th, 2020)
+
+- Include `max_keepalive_connections` on `AsyncHTTPProxy`/`SyncHTTPProxy` classes.
+
+## 0.10.0 (August 7th, 2020)
+
+The most notable change in the 0.10.0 release is that HTTP/2 support is now fully optional.
+
+Use either `pip install httpcore` for HTTP/1.1 support only, or `pip install httpcore[http2]` for HTTP/1.1 and HTTP/2 support.
+
+### Added
+
+- HTTP/2 support becomes optional. (Pull #121, #130)
+- Add `local_address=...` support. (Pull #100, #134)
+- Add `PlainByteStream`, `IteratorByteStream`, `AsyncIteratorByteStream`. The `AsyncByteSteam` and `SyncByteStream` classes are now pure interface classes. (#133)
+- Add `LocalProtocolError`, `RemoteProtocolError` exceptions. (Pull #129)
+- Add `UnsupportedProtocol` exception. (Pull #128)
+- Add `.get_connection_info()` method. (Pull #102, #137)
+- Add better TRACE logs. (Pull #101)
+
+### Changed
+
+- `max_keepalive` is deprecated in favour of `max_keepalive_connections`. (Pull #140)
+
+### Fixed
+
+- Improve handling of server disconnects. (Pull #112)
+
+## 0.9.1 (May 27th, 2020)
+
+### Fixed
+
+- Proper host resolution for sync case, including IPv6 support. (Pull #97)
+- Close outstanding connections when connection pool is closed. (Pull #98)
+
+## 0.9.0 (May 21th, 2020)
+
+### Changed
+
+- URL port becomes an `Optional[int]` instead of `int`. (Pull #92)
+
+### Fixed
+
+- Honor HTTP/2 max concurrent streams settings. (Pull #89, #90)
+- Remove incorrect debug log. (Pull #83)
+
+## 0.8.4 (May 11th, 2020)
+
+### Added
+
+- Logging via HTTPCORE_LOG_LEVEL and HTTPX_LOG_LEVEL environment variables
+and TRACE level logging. (Pull #79)
+
+### Fixed
+
+- Reuse of connections on HTTP/2 in close concurrency situations. (Pull #81)
+
+## 0.8.3 (May 6rd, 2020)
+
+### Fixed
+
+- Include `Host` and `Accept` headers on proxy "CONNECT" requests.
+- De-duplicate any headers also contained in proxy_headers.
+- HTTP/2 flag not being passed down to proxy connections.
+
+## 0.8.2 (May 3rd, 2020)
+
+### Fixed
+
+- Fix connections using proxy forwarding requests not being added to the
+connection pool properly. (Pull #70)
+
+## 0.8.1 (April 30th, 2020)
+
+### Changed
+
+- Allow inherintance of both `httpcore.AsyncByteStream`, `httpcore.SyncByteStream` without type conflicts.
+
+## 0.8.0 (April 30th, 2020)
+
+### Fixed
+
+- Fixed tunnel proxy support.
+
+### Added
+
+- New `TimeoutException` base class.
+
+## 0.7.0 (March 5th, 2020)
+
+- First integration with HTTPX.

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+Project-URL: Changelog, https://github.com/encode/httpx/blob/master/CHANGELOG.md
+Project-URL: Documentation, https://www.python-httpx.org
+Project-URL: Homepage, https://github.com/encode/httpx
+Project-URL: Source, https://github.com/encode/httpx
+Author-email: Tom Christie <tom@tomchristie.com>
+License: BSD-3-Clause
+Classifier: Development Status :: 4 - Beta
+Classifier: Environment :: Web Environment
+Classifier: Framework :: AsyncIO
+Classifier: Framework :: Trio
+Classifier: Intended Audience :: Developers
+Classifier: License :: OSI Approved :: BSD License
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Topic :: Internet :: WWW/HTTP
+Requires-Python: >=3.8
+Requires-Dist: anyio
+Requires-Dist: certifi
+Requires-Dist: httpcore==1.*
+Requires-Dist: idna
+Provides-Extra: brotli
+Requires-Dist: brotli; (platform_python_implementation == 'CPython') and extra == 'brotli'
+Requires-Dist: brotlicffi; (platform_python_implementation != 'CPython') and extra == 'brotli'
+Provides-Extra: cli
+Requires-Dist: click==8.*; extra == 'cli'
+Requires-Dist: pygments==2.*; extra == 'cli'
+Requires-Dist: rich<14,>=10; extra == 'cli'
+Provides-Extra: http2
+Requires-Dist: h2<5,>=3; extra == 'http2'
+Provides-Extra: socks
+Requires-Dist: socksio==1.*; extra == 'socks'
+Provides-Extra: zstd
+Requires-Dist: zstandard>=0.18.0; extra == 'zstd'
+Description-Content-Type: text/markdown
+
+<p align="center">
+  <a href="https://www.python-httpx.org/"><img width="350" height="208" src="https://raw.githubusercontent.com/encode/httpx/master/docs/img/butterfly.png" alt='HTTPX'></a>
+</p>
+
+<p align="center"><strong>HTTPX</strong> <em>- A next-generation HTTP client for Python.</em></p>
+
+<p align="center">
+<a href="https://github.com/encode/httpx/actions">
+    <img src="https://github.com/encode/httpx/workflows/Test%20Suite/badge.svg" alt="Test Suite">
+</a>
+<a href="https://pypi.org/project/httpx/">
+    <img src="https://badge.fury.io/py/httpx.svg" alt="Package version">
+</a>
+</p>
+
+HTTPX is a fully featured HTTP client library for Python 3. It includes **an integrated command line client**, has support for both **HTTP/1.1 and HTTP/2**, and provides both **sync and async APIs**.
+
+---
+
+Install HTTPX using pip:
+
+```shell
+$ pip install httpx
+```
+
+Now, let's get started:
+
+```pycon
+>>> import httpx
+>>> r = httpx.get('https://www.example.org/')
+>>> r
+<Response [200 OK]>
+>>> r.status_code
+200
+>>> r.headers['content-type']
+'text/html; charset=UTF-8'
+>>> r.text
+'<!doctype html>\n<html>\n<head>\n<title>Example Domain</title>...'
+```
+
+Or, using the command-line client.
+
+```shell
+$ pip install 'httpx[cli]'  # The command line client is an optional dependency.
+```
+
+Which now allows us to use HTTPX directly from the command-line...
+
+<p align="center">
+  <img width="700" src="https://raw.githubusercontent.com/encode/httpx/master/docs/img/httpx-help.png" alt='httpx --help'>
+</p>
+
+Sending a request...
+
+<p align="center">
+  <img width="700" src="https://raw.githubusercontent.com/encode/httpx/master/docs/img/httpx-request.png" alt='httpx http://httpbin.org/json'>
+</p>
+
+## Features
+
+HTTPX builds on the well-established usability of `requests`, and gives you:
+
+* A broadly [requests-compatible API](https://www.python-httpx.org/compatibility/).
+* An integrated command-line client.
+* HTTP/1.1 [and HTTP/2 support](https://www.python-httpx.org/http2/).
+* Standard synchronous interface, but with [async support if you need it](https://www.python-httpx.org/async/).
+* Ability to make requests directly to [WSGI applications](https://www.python-httpx.org/advanced/transports/#wsgi-transport) or [ASGI applications](https://www.python-httpx.org/advanced/transports/#asgi-transport).
+* Strict timeouts everywhere.
+* Fully type annotated.
+* 100% test coverage.
+
+Plus all the standard features of `requests`...
+
+* International Domains and URLs
+* Keep-Alive & Connection Pooling
+* Sessions with Cookie Persistence
+* Browser-style SSL Verification
+* Basic/Digest Authentication
+* Elegant Key/Value Cookies
+* Automatic Decompression
+* Automatic Content Decoding
+* Unicode Response Bodies
+* Multipart File Uploads
+* HTTP(S) Proxy Support
+* Connection Timeouts
+* Streaming Downloads
+* .netrc Support
+* Chunked Requests
+
+## Installation
+
+Install with pip:
+
+```shell
+$ pip install httpx
+```
+
+Or, to include the optional HTTP/2 support, use:
+
+```shell
+$ pip install httpx[http2]
+```
+
+HTTPX requires Python 3.8+.
+
+## Documentation
+
+Project documentation is available at [https://www.python-httpx.org/](https://www.python-httpx.org/).
+
+For a run-through of all the basics, head over to the [QuickStart](https://www.python-httpx.org/quickstart/).
+
+For more advanced topics, see the [Advanced Usage](https://www.python-httpx.org/advanced/) section, the [async support](https://www.python-httpx.org/async/) section, or the [HTTP/2](https://www.python-httpx.org/http2/) section.
+
+The [Developer Interface](https://www.python-httpx.org/api/) provides a comprehensive API reference.
+
+To find out about tools that integrate with HTTPX, see [Third Party Packages](https://www.python-httpx.org/third_party_packages/).
+
+## Contribute
+
+If you want to contribute with HTTPX check out the [Contributing Guide](https://www.python-httpx.org/contributing/) to learn how to start.
+
+## Dependencies
+
+The HTTPX project relies on these excellent libraries:
+
+* `httpcore` - The underlying transport implementation for `httpx`.
+  * `h11` - HTTP/1.1 support.
+* `certifi` - SSL certificates.
+* `idna` - Internationalized domain name support.
+* `sniffio` - Async library autodetection.
+
+As well as these optional installs:
+
+* `h2` - HTTP/2 support. *(Optional, with `httpx[http2]`)*
+* `socksio` - SOCKS proxy support. *(Optional, with `httpx[socks]`)*
+* `rich` - Rich terminal support. *(Optional, with `httpx[cli]`)*
+* `click` - Command line client support. *(Optional, with `httpx[cli]`)*
+* `brotli` or `brotlicffi` - Decoding for "brotli" compressed responses. *(Optional, with `httpx[brotli]`)*
+* `zstandard` - Decoding for "zstd" compressed responses. *(Optional, with `httpx[zstd]`)*
+
+A huge amount of credit is due to `requests` for the API layout that
+much of this work follows, as well as to `urllib3` for plenty of design
+inspiration around the lower-level networking details.
+
+---
+
+<p align="center"><i>HTTPX is <a href="https://github.com/encode/httpx/blob/master/LICENSE.md">BSD licensed</a> code.<br/>Designed & crafted with care.</i><br/>&mdash; 🦋 &mdash;</p>
+
+## Release Information
+
+### Fixed
+
+* Reintroduced supposedly-private `URLTypes` shortcut. (#2673)
+
+
+---
+
+[Full changelog](https://github.com/encode/httpx/blob/master/CHANGELOG.md)

venv/lib/python3.12/site-packages/httpx-0.28.1.dist-info/RECORD

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+httpx-0.28.1.dist-info/licenses/LICENSE.md,sha256=TsWdVE8StfU5o6cW_TIaxYzNgDC0ZSIfLIgCAM3yjY0,1508
+httpx/__init__.py,sha256=CsaZe6yZj0rHg6322AWKWHGTMVr9txgEfD5P3_Rrz60,2171
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+httpx/_urlparse.py,sha256=ZAmH47ONfkxrrj-PPYhGeiHjb6AjKCS-ANWIN4OL_KY,18546
+httpx/_urls.py,sha256=dX99VR1DSOHpgo9Aq7PzYO4FKdxqKjwyNp8grf8dHN0,21550
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venv/lib/python3.12/site-packages/httpx-0.28.1.dist-info/WHEEL

@@ -0,0 +1,4 @@
+Wheel-Version: 1.0
+Generator: hatchling 1.26.3
+Root-Is-Purelib: true
+Tag: py3-none-any

venv/lib/python3.12/site-packages/httpx-0.28.1.dist-info/entry_points.txt

@@ -0,0 +1,2 @@
+[console_scripts]
+httpx = httpx:main

venv/lib/python3.12/site-packages/httpx/__init__.py

@@ -0,0 +1,105 @@
+from .__version__ import __description__, __title__, __version__
+from ._api import *
+from ._auth import *
+from ._client import *
+from ._config import *
+from ._content import *
+from ._exceptions import *
+from ._models import *
+from ._status_codes import *
+from ._transports import *
+from ._types import *
+from ._urls import *
+
+try:
+    from ._main import main
+except ImportError:  # pragma: no cover
+
+    def main() -> None:  # type: ignore
+        import sys
+
+        print(
+            "The httpx command line client could not run because the required "
+            "dependencies were not installed.\nMake sure you've installed "
+            "everything with: pip install 'httpx[cli]'"
+        )
+        sys.exit(1)
+
+
+__all__ = [
+    "__description__",
+    "__title__",
+    "__version__",
+    "ASGITransport",
+    "AsyncBaseTransport",
+    "AsyncByteStream",
+    "AsyncClient",
+    "AsyncHTTPTransport",
+    "Auth",
+    "BaseTransport",
+    "BasicAuth",
+    "ByteStream",
+    "Client",
+    "CloseError",
+    "codes",
+    "ConnectError",
+    "ConnectTimeout",
+    "CookieConflict",
+    "Cookies",
+    "create_ssl_context",
+    "DecodingError",
+    "delete",
+    "DigestAuth",
+    "get",
+    "head",
+    "Headers",
+    "HTTPError",
+    "HTTPStatusError",
+    "HTTPTransport",
+    "InvalidURL",
+    "Limits",
+    "LocalProtocolError",
+    "main",
+    "MockTransport",
+    "NetRCAuth",
+    "NetworkError",
+    "options",
+    "patch",
+    "PoolTimeout",
+    "post",
+    "ProtocolError",
+    "Proxy",
+    "ProxyError",
+    "put",
+    "QueryParams",
+    "ReadError",
+    "ReadTimeout",
+    "RemoteProtocolError",
+    "request",
+    "Request",
+    "RequestError",
+    "RequestNotRead",
+    "Response",
+    "ResponseNotRead",
+    "stream",
+    "StreamClosed",
+    "StreamConsumed",
+    "StreamError",
+    "SyncByteStream",
+    "Timeout",
+    "TimeoutException",
+    "TooManyRedirects",
+    "TransportError",
+    "UnsupportedProtocol",
+    "URL",
+    "USE_CLIENT_DEFAULT",
+    "WriteError",
+    "WriteTimeout",
+    "WSGITransport",
+]
+
+
+__locals = locals()
+for __name in __all__:
+    if not __name.startswith("__"):
+        setattr(__locals[__name], "__module__", "httpx")  # noqa

venv/lib/python3.12/site-packages/httpx/__version__.py

@@ -0,0 +1,3 @@
+__title__ = "httpx"
+__description__ = "A next generation HTTP client, for Python 3."
+__version__ = "0.28.1"

venv/lib/python3.12/site-packages/httpx/_config.py

@@ -0,0 +1,248 @@
+from __future__ import annotations
+
+import os
+import typing
+
+from ._models import Headers
+from ._types import CertTypes, HeaderTypes, TimeoutTypes
+from ._urls import URL
+
+if typing.TYPE_CHECKING:
+    import ssl  # pragma: no cover
+
+__all__ = ["Limits", "Proxy", "Timeout", "create_ssl_context"]
+
+
+class UnsetType:
+    pass  # pragma: no cover
+
+
+UNSET = UnsetType()
+
+
+def create_ssl_context(
+    verify: ssl.SSLContext | str | bool = True,
+    cert: CertTypes | None = None,
+    trust_env: bool = True,
+) -> ssl.SSLContext:
+    import ssl
+    import warnings
+
+    import certifi
+
+    if verify is True:
+        if trust_env and os.environ.get("SSL_CERT_FILE"):  # pragma: nocover
+            ctx = ssl.create_default_context(cafile=os.environ["SSL_CERT_FILE"])
+        elif trust_env and os.environ.get("SSL_CERT_DIR"):  # pragma: nocover
+            ctx = ssl.create_default_context(capath=os.environ["SSL_CERT_DIR"])
+        else:
+            # Default case...
+            ctx = ssl.create_default_context(cafile=certifi.where())
+    elif verify is False:
+        ctx = ssl.SSLContext(ssl.PROTOCOL_TLS_CLIENT)
+        ctx.check_hostname = False
+        ctx.verify_mode = ssl.CERT_NONE
+    elif isinstance(verify, str):  # pragma: nocover
+        message = (
+            "`verify=<str>` is deprecated. "
+            "Use `verify=ssl.create_default_context(cafile=...)` "
+            "or `verify=ssl.create_default_context(capath=...)` instead."
+        )
+        warnings.warn(message, DeprecationWarning)
+        if os.path.isdir(verify):
+            return ssl.create_default_context(capath=verify)
+        return ssl.create_default_context(cafile=verify)
+    else:
+        ctx = verify
+
+    if cert:  # pragma: nocover
+        message = (
+            "`cert=...` is deprecated. Use `verify=<ssl_context>` instead,"
+            "with `.load_cert_chain()` to configure the certificate chain."
+        )
+        warnings.warn(message, DeprecationWarning)
+        if isinstance(cert, str):
+            ctx.load_cert_chain(cert)
+        else:
+            ctx.load_cert_chain(*cert)
+
+    return ctx
+
+
+class Timeout:
+    """
+    Timeout configuration.
+
+    **Usage**:
+
+    Timeout(None)               # No timeouts.
+    Timeout(5.0)                # 5s timeout on all operations.
+    Timeout(None, connect=5.0)  # 5s timeout on connect, no other timeouts.
+    Timeout(5.0, connect=10.0)  # 10s timeout on connect. 5s timeout elsewhere.
+    Timeout(5.0, pool=None)     # No timeout on acquiring connection from pool.
+                                # 5s timeout elsewhere.
+    """
+
+    def __init__(
+        self,
+        timeout: TimeoutTypes | UnsetType = UNSET,
+        *,
+        connect: None | float | UnsetType = UNSET,
+        read: None | float | UnsetType = UNSET,
+        write: None | float | UnsetType = UNSET,
+        pool: None | float | UnsetType = UNSET,
+    ) -> None:
+        if isinstance(timeout, Timeout):
+            # Passed as a single explicit Timeout.
+            assert connect is UNSET
+            assert read is UNSET
+            assert write is UNSET
+            assert pool is UNSET
+            self.connect = timeout.connect  # type: typing.Optional[float]
+            self.read = timeout.read  # type: typing.Optional[float]
+            self.write = timeout.write  # type: typing.Optional[float]
+            self.pool = timeout.pool  # type: typing.Optional[float]
+        elif isinstance(timeout, tuple):
+            # Passed as a tuple.
+            self.connect = timeout[0]
+            self.read = timeout[1]
+            self.write = None if len(timeout) < 3 else timeout[2]
+            self.pool = None if len(timeout) < 4 else timeout[3]
+        elif not (
+            isinstance(connect, UnsetType)
+            or isinstance(read, UnsetType)
+            or isinstance(write, UnsetType)
+            or isinstance(pool, UnsetType)
+        ):
+            self.connect = connect
+            self.read = read
+            self.write = write
+            self.pool = pool
+        else:
+            if isinstance(timeout, UnsetType):
+                raise ValueError(
+                    "httpx.Timeout must either include a default, or set all "
+                    "four parameters explicitly."
+                )
+            self.connect = timeout if isinstance(connect, UnsetType) else connect
+            self.read = timeout if isinstance(read, UnsetType) else read
+            self.write = timeout if isinstance(write, UnsetType) else write
+            self.pool = timeout if isinstance(pool, UnsetType) else pool
+
+    def as_dict(self) -> dict[str, float | None]:
+        return {
+            "connect": self.connect,
+            "read": self.read,
+            "write": self.write,
+            "pool": self.pool,
+        }
+
+    def __eq__(self, other: typing.Any) -> bool:
+        return (
+            isinstance(other, self.__class__)
+            and self.connect == other.connect
+            and self.read == other.read
+            and self.write == other.write
+            and self.pool == other.pool
+        )
+
+    def __repr__(self) -> str:
+        class_name = self.__class__.__name__
+        if len({self.connect, self.read, self.write, self.pool}) == 1:
+            return f"{class_name}(timeout={self.connect})"
+        return (
+            f"{class_name}(connect={self.connect}, "
+            f"read={self.read}, write={self.write}, pool={self.pool})"
+        )
+
+
+class Limits:
+    """
+    Configuration for limits to various client behaviors.
+
+    **Parameters:**
+
+    * **max_connections** - The maximum number of concurrent connections that may be
+            established.
+    * **max_keepalive_connections** - Allow the connection pool to maintain
+            keep-alive connections below this point. Should be less than or equal
+            to `max_connections`.
+    * **keepalive_expiry** - Time limit on idle keep-alive connections in seconds.
+    """
+
+    def __init__(
+        self,
+        *,
+        max_connections: int | None = None,
+        max_keepalive_connections: int | None = None,
+        keepalive_expiry: float | None = 5.0,
+    ) -> None:
+        self.max_connections = max_connections
+        self.max_keepalive_connections = max_keepalive_connections
+        self.keepalive_expiry = keepalive_expiry
+
+    def __eq__(self, other: typing.Any) -> bool:
+        return (
+            isinstance(other, self.__class__)
+            and self.max_connections == other.max_connections
+            and self.max_keepalive_connections == other.max_keepalive_connections
+            and self.keepalive_expiry == other.keepalive_expiry
+        )
+
+    def __repr__(self) -> str:
+        class_name = self.__class__.__name__
+        return (
+            f"{class_name}(max_connections={self.max_connections}, "
+            f"max_keepalive_connections={self.max_keepalive_connections}, "
+            f"keepalive_expiry={self.keepalive_expiry})"
+        )
+
+
+class Proxy:
+    def __init__(
+        self,
+        url: URL | str,
+        *,
+        ssl_context: ssl.SSLContext | None = None,
+        auth: tuple[str, str] | None = None,
+        headers: HeaderTypes | None = None,
+    ) -> None:
+        url = URL(url)
+        headers = Headers(headers)
+
+        if url.scheme not in ("http", "https", "socks5", "socks5h"):
+            raise ValueError(f"Unknown scheme for proxy URL {url!r}")
+
+        if url.username or url.password:
+            # Remove any auth credentials from the URL.
+            auth = (url.username, url.password)
+            url = url.copy_with(username=None, password=None)
+
+        self.url = url
+        self.auth = auth
+        self.headers = headers
+        self.ssl_context = ssl_context
+
+    @property
+    def raw_auth(self) -> tuple[bytes, bytes] | None:
+        # The proxy authentication as raw bytes.
+        return (
+            None
+            if self.auth is None
+            else (self.auth[0].encode("utf-8"), self.auth[1].encode("utf-8"))
+        )
+
+    def __repr__(self) -> str:
+        # The authentication is represented with the password component masked.
+        auth = (self.auth[0], "********") if self.auth else None
+
+        # Build a nice concise representation.
+        url_str = f"{str(self.url)!r}"
+        auth_str = f", auth={auth!r}" if auth else ""
+        headers_str = f", headers={dict(self.headers)!r}" if self.headers else ""
+        return f"Proxy({url_str}{auth_str}{headers_str})"
+
+
+DEFAULT_TIMEOUT_CONFIG = Timeout(timeout=5.0)
+DEFAULT_LIMITS = Limits(max_connections=100, max_keepalive_connections=20)
+DEFAULT_MAX_REDIRECTS = 20

venv/lib/python3.12/site-packages/httpx/_models.py

@@ -0,0 +1,1277 @@
+from __future__ import annotations
+
+import codecs
+import datetime
+import email.message
+import json as jsonlib
+import re
+import typing
+import urllib.request
+from collections.abc import Mapping
+from http.cookiejar import Cookie, CookieJar
+
+from ._content import ByteStream, UnattachedStream, encode_request, encode_response
+from ._decoders import (
+    SUPPORTED_DECODERS,
+    ByteChunker,
+    ContentDecoder,
+    IdentityDecoder,
+    LineDecoder,
+    MultiDecoder,
+    TextChunker,
+    TextDecoder,
+)
+from ._exceptions import (
+    CookieConflict,
+    HTTPStatusError,
+    RequestNotRead,
+    ResponseNotRead,
+    StreamClosed,
+    StreamConsumed,
+    request_context,
+)
+from ._multipart import get_multipart_boundary_from_content_type
+from ._status_codes import codes
+from ._types import (
+    AsyncByteStream,
+    CookieTypes,
+    HeaderTypes,
+    QueryParamTypes,
+    RequestContent,
+    RequestData,
+    RequestExtensions,
+    RequestFiles,
+    ResponseContent,
+    ResponseExtensions,
+    SyncByteStream,
+)
+from ._urls import URL
+from ._utils import to_bytes_or_str, to_str
+
+__all__ = ["Cookies", "Headers", "Request", "Response"]
+
+SENSITIVE_HEADERS = {"authorization", "proxy-authorization"}
+
+
+def _is_known_encoding(encoding: str) -> bool:
+    """
+    Return `True` if `encoding` is a known codec.
+    """
+    try:
+        codecs.lookup(encoding)
+    except LookupError:
+        return False
+    return True
+
+
+def _normalize_header_key(key: str | bytes, encoding: str | None = None) -> bytes:
+    """
+    Coerce str/bytes into a strictly byte-wise HTTP header key.
+    """
+    return key if isinstance(key, bytes) else key.encode(encoding or "ascii")
+
+
+def _normalize_header_value(value: str | bytes, encoding: str | None = None) -> bytes:
+    """
+    Coerce str/bytes into a strictly byte-wise HTTP header value.
+    """
+    if isinstance(value, bytes):
+        return value
+    if not isinstance(value, str):
+        raise TypeError(f"Header value must be str or bytes, not {type(value)}")
+    return value.encode(encoding or "ascii")
+
+
+def _parse_content_type_charset(content_type: str) -> str | None:
+    # We used to use `cgi.parse_header()` here, but `cgi` became a dead battery.
+    # See: https://peps.python.org/pep-0594/#cgi
+    msg = email.message.Message()
+    msg["content-type"] = content_type
+    return msg.get_content_charset(failobj=None)
+
+
+def _parse_header_links(value: str) -> list[dict[str, str]]:
+    """
+    Returns a list of parsed link headers, for more info see:
+    https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Link
+    The generic syntax of those is:
+    Link: < uri-reference >; param1=value1; param2="value2"
+    So for instance:
+    Link; '<http:/.../front.jpeg>; type="image/jpeg",<http://.../back.jpeg>;'
+    would return
+        [
+            {"url": "http:/.../front.jpeg", "type": "image/jpeg"},
+            {"url": "http://.../back.jpeg"},
+        ]
+    :param value: HTTP Link entity-header field
+    :return: list of parsed link headers
+    """
+    links: list[dict[str, str]] = []
+    replace_chars = " '\""
+    value = value.strip(replace_chars)
+    if not value:
+        return links
+    for val in re.split(", *<", value):
+        try:
+            url, params = val.split(";", 1)
+        except ValueError:
+            url, params = val, ""
+        link = {"url": url.strip("<> '\"")}
+        for param in params.split(";"):
+            try:
+                key, value = param.split("=")
+            except ValueError:
+                break
+            link[key.strip(replace_chars)] = value.strip(replace_chars)
+        links.append(link)
+    return links
+
+
+def _obfuscate_sensitive_headers(
+    items: typing.Iterable[tuple[typing.AnyStr, typing.AnyStr]],
+) -> typing.Iterator[tuple[typing.AnyStr, typing.AnyStr]]:
+    for k, v in items:
+        if to_str(k.lower()) in SENSITIVE_HEADERS:
+            v = to_bytes_or_str("[secure]", match_type_of=v)
+        yield k, v
+
+
+class Headers(typing.MutableMapping[str, str]):
+    """
+    HTTP headers, as a case-insensitive multi-dict.
+    """
+
+    def __init__(
+        self,
+        headers: HeaderTypes | None = None,
+        encoding: str | None = None,
+    ) -> None:
+        self._list = []  # type: typing.List[typing.Tuple[bytes, bytes, bytes]]
+
+        if isinstance(headers, Headers):
+            self._list = list(headers._list)
+        elif isinstance(headers, Mapping):
+            for k, v in headers.items():
+                bytes_key = _normalize_header_key(k, encoding)
+                bytes_value = _normalize_header_value(v, encoding)
+                self._list.append((bytes_key, bytes_key.lower(), bytes_value))
+        elif headers is not None:
+            for k, v in headers:
+                bytes_key = _normalize_header_key(k, encoding)
+                bytes_value = _normalize_header_value(v, encoding)
+                self._list.append((bytes_key, bytes_key.lower(), bytes_value))
+
+        self._encoding = encoding
+
+    @property
+    def encoding(self) -> str:
+        """
+        Header encoding is mandated as ascii, but we allow fallbacks to utf-8
+        or iso-8859-1.
+        """
+        if self._encoding is None:
+            for encoding in ["ascii", "utf-8"]:
+                for key, value in self.raw:
+                    try:
+                        key.decode(encoding)
+                        value.decode(encoding)
+                    except UnicodeDecodeError:
+                        break
+                else:
+                    # The else block runs if 'break' did not occur, meaning
+                    # all values fitted the encoding.
+                    self._encoding = encoding
+                    break
+            else:
+                # The ISO-8859-1 encoding covers all 256 code points in a byte,
+                # so will never raise decode errors.
+                self._encoding = "iso-8859-1"
+        return self._encoding
+
+    @encoding.setter
+    def encoding(self, value: str) -> None:
+        self._encoding = value
+
+    @property
+    def raw(self) -> list[tuple[bytes, bytes]]:
+        """
+        Returns a list of the raw header items, as byte pairs.
+        """
+        return [(raw_key, value) for raw_key, _, value in self._list]
+
+    def keys(self) -> typing.KeysView[str]:
+        return {key.decode(self.encoding): None for _, key, value in self._list}.keys()
+
+    def values(self) -> typing.ValuesView[str]:
+        values_dict: dict[str, str] = {}
+        for _, key, value in self._list:
+            str_key = key.decode(self.encoding)
+            str_value = value.decode(self.encoding)
+            if str_key in values_dict:
+                values_dict[str_key] += f", {str_value}"
+            else:
+                values_dict[str_key] = str_value
+        return values_dict.values()
+
+    def items(self) -> typing.ItemsView[str, str]:
+        """
+        Return `(key, value)` items of headers. Concatenate headers
+        into a single comma separated value when a key occurs multiple times.
+        """
+        values_dict: dict[str, str] = {}
+        for _, key, value in self._list:
+            str_key = key.decode(self.encoding)
+            str_value = value.decode(self.encoding)
+            if str_key in values_dict:
+                values_dict[str_key] += f", {str_value}"
+            else:
+                values_dict[str_key] = str_value
+        return values_dict.items()
+
+    def multi_items(self) -> list[tuple[str, str]]:
+        """
+        Return a list of `(key, value)` pairs of headers. Allow multiple
+        occurrences of the same key without concatenating into a single
+        comma separated value.
+        """
+        return [
+            (key.decode(self.encoding), value.decode(self.encoding))
+            for _, key, value in self._list
+        ]
+
+    def get(self, key: str, default: typing.Any = None) -> typing.Any:
+        """
+        Return a header value. If multiple occurrences of the header occur
+        then concatenate them together with commas.
+        """
+        try:
+            return self[key]
+        except KeyError:
+            return default
+
+    def get_list(self, key: str, split_commas: bool = False) -> list[str]:
+        """
+        Return a list of all header values for a given key.
+        If `split_commas=True` is passed, then any comma separated header
+        values are split into multiple return strings.
+        """
+        get_header_key = key.lower().encode(self.encoding)
+
+        values = [
+            item_value.decode(self.encoding)
+            for _, item_key, item_value in self._list
+            if item_key.lower() == get_header_key
+        ]
+
+        if not split_commas:
+            return values
+
+        split_values = []
+        for value in values:
+            split_values.extend([item.strip() for item in value.split(",")])
+        return split_values
+
+    def update(self, headers: HeaderTypes | None = None) -> None:  # type: ignore
+        headers = Headers(headers)
+        for key in headers.keys():
+            if key in self:
+                self.pop(key)
+        self._list.extend(headers._list)
+
+    def copy(self) -> Headers:
+        return Headers(self, encoding=self.encoding)
+
+    def __getitem__(self, key: str) -> str:
+        """
+        Return a single header value.
+
+        If there are multiple headers with the same key, then we concatenate
+        them with commas. See: https://tools.ietf.org/html/rfc7230#section-3.2.2
+        """
+        normalized_key = key.lower().encode(self.encoding)
+
+        items = [
+            header_value.decode(self.encoding)
+            for _, header_key, header_value in self._list
+            if header_key == normalized_key
+        ]
+
+        if items:
+            return ", ".join(items)
+
+        raise KeyError(key)
+
+    def __setitem__(self, key: str, value: str) -> None:
+        """
+        Set the header `key` to `value`, removing any duplicate entries.
+        Retains insertion order.
+        """
+        set_key = key.encode(self._encoding or "utf-8")
+        set_value = value.encode(self._encoding or "utf-8")
+        lookup_key = set_key.lower()
+
+        found_indexes = [
+            idx
+            for idx, (_, item_key, _) in enumerate(self._list)
+            if item_key == lookup_key
+        ]
+
+        for idx in reversed(found_indexes[1:]):
+            del self._list[idx]
+
+        if found_indexes:
+            idx = found_indexes[0]
+            self._list[idx] = (set_key, lookup_key, set_value)
+        else:
+            self._list.append((set_key, lookup_key, set_value))
+
+    def __delitem__(self, key: str) -> None:
+        """
+        Remove the header `key`.
+        """
+        del_key = key.lower().encode(self.encoding)
+
+        pop_indexes = [
+            idx
+            for idx, (_, item_key, _) in enumerate(self._list)
+            if item_key.lower() == del_key
+        ]
+
+        if not pop_indexes:
+            raise KeyError(key)
+
+        for idx in reversed(pop_indexes):
+            del self._list[idx]
+
+    def __contains__(self, key: typing.Any) -> bool:
+        header_key = key.lower().encode(self.encoding)
+        return header_key in [key for _, key, _ in self._list]
+
+    def __iter__(self) -> typing.Iterator[typing.Any]:
+        return iter(self.keys())
+
+    def __len__(self) -> int:
+        return len(self._list)
+
+    def __eq__(self, other: typing.Any) -> bool:
+        try:
+            other_headers = Headers(other)
+        except ValueError:
+            return False
+
+        self_list = [(key, value) for _, key, value in self._list]
+        other_list = [(key, value) for _, key, value in other_headers._list]
+        return sorted(self_list) == sorted(other_list)
+
+    def __repr__(self) -> str:
+        class_name = self.__class__.__name__
+
+        encoding_str = ""
+        if self.encoding != "ascii":
+            encoding_str = f", encoding={self.encoding!r}"
+
+        as_list = list(_obfuscate_sensitive_headers(self.multi_items()))
+        as_dict = dict(as_list)
+
+        no_duplicate_keys = len(as_dict) == len(as_list)
+        if no_duplicate_keys:
+            return f"{class_name}({as_dict!r}{encoding_str})"
+        return f"{class_name}({as_list!r}{encoding_str})"
+
+
+class Request:
+    def __init__(
+        self,
+        method: str,
+        url: URL | str,
+        *,
+        params: QueryParamTypes | None = None,
+        headers: HeaderTypes | None = None,
+        cookies: CookieTypes | None = None,
+        content: RequestContent | None = None,
+        data: RequestData | None = None,
+        files: RequestFiles | None = None,
+        json: typing.Any | None = None,
+        stream: SyncByteStream | AsyncByteStream | None = None,
+        extensions: RequestExtensions | None = None,
+    ) -> None:
+        self.method = method.upper()
+        self.url = URL(url) if params is None else URL(url, params=params)
+        self.headers = Headers(headers)
+        self.extensions = {} if extensions is None else dict(extensions)
+
+        if cookies:
+            Cookies(cookies).set_cookie_header(self)
+
+        if stream is None:
+            content_type: str | None = self.headers.get("content-type")
+            headers, stream = encode_request(
+                content=content,
+                data=data,
+                files=files,
+                json=json,
+                boundary=get_multipart_boundary_from_content_type(
+                    content_type=content_type.encode(self.headers.encoding)
+                    if content_type
+                    else None
+                ),
+            )
+            self._prepare(headers)
+            self.stream = stream
+            # Load the request body, except for streaming content.
+            if isinstance(stream, ByteStream):
+                self.read()
+        else:
+            # There's an important distinction between `Request(content=...)`,
+            # and `Request(stream=...)`.
+            #
+            # Using `content=...` implies automatically populated `Host` and content
+            # headers, of either `Content-Length: ...` or `Transfer-Encoding: chunked`.
+            #
+            # Using `stream=...` will not automatically include *any*
+            # auto-populated headers.
+            #
+            # As an end-user you don't really need `stream=...`. It's only
+            # useful when:
+            #
+            # * Preserving the request stream when copying requests, eg for redirects.
+            # * Creating request instances on the *server-side* of the transport API.
+            self.stream = stream
+
+    def _prepare(self, default_headers: dict[str, str]) -> None:
+        for key, value in default_headers.items():
+            # Ignore Transfer-Encoding if the Content-Length has been set explicitly.
+            if key.lower() == "transfer-encoding" and "Content-Length" in self.headers:
+                continue
+            self.headers.setdefault(key, value)
+
+        auto_headers: list[tuple[bytes, bytes]] = []
+
+        has_host = "Host" in self.headers
+        has_content_length = (
+            "Content-Length" in self.headers or "Transfer-Encoding" in self.headers
+        )
+
+        if not has_host and self.url.host:
+            auto_headers.append((b"Host", self.url.netloc))
+        if not has_content_length and self.method in ("POST", "PUT", "PATCH"):
+            auto_headers.append((b"Content-Length", b"0"))
+
+        self.headers = Headers(auto_headers + self.headers.raw)
+
+    @property
+    def content(self) -> bytes:
+        if not hasattr(self, "_content"):
+            raise RequestNotRead()
+        return self._content
+
+    def read(self) -> bytes:
+        """
+        Read and return the request content.
+        """
+        if not hasattr(self, "_content"):
+            assert isinstance(self.stream, typing.Iterable)
+            self._content = b"".join(self.stream)
+            if not isinstance(self.stream, ByteStream):
+                # If a streaming request has been read entirely into memory, then
+                # we can replace the stream with a raw bytes implementation,
+                # to ensure that any non-replayable streams can still be used.
+                self.stream = ByteStream(self._content)
+        return self._content
+
+    async def aread(self) -> bytes:
+        """
+        Read and return the request content.
+        """
+        if not hasattr(self, "_content"):
+            assert isinstance(self.stream, typing.AsyncIterable)
+            self._content = b"".join([part async for part in self.stream])
+            if not isinstance(self.stream, ByteStream):
+                # If a streaming request has been read entirely into memory, then
+                # we can replace the stream with a raw bytes implementation,
+                # to ensure that any non-replayable streams can still be used.
+                self.stream = ByteStream(self._content)
+        return self._content
+
+    def __repr__(self) -> str:
+        class_name = self.__class__.__name__
+        url = str(self.url)
+        return f"<{class_name}({self.method!r}, {url!r})>"
+
+    def __getstate__(self) -> dict[str, typing.Any]:
+        return {
+            name: value
+            for name, value in self.__dict__.items()
+            if name not in ["extensions", "stream"]
+        }
+
+    def __setstate__(self, state: dict[str, typing.Any]) -> None:
+        for name, value in state.items():
+            setattr(self, name, value)
+        self.extensions = {}
+        self.stream = UnattachedStream()
+
+
+class Response:
+    def __init__(
+        self,
+        status_code: int,
+        *,
+        headers: HeaderTypes | None = None,
+        content: ResponseContent | None = None,
+        text: str | None = None,
+        html: str | None = None,
+        json: typing.Any = None,
+        stream: SyncByteStream | AsyncByteStream | None = None,
+        request: Request | None = None,
+        extensions: ResponseExtensions | None = None,
+        history: list[Response] | None = None,
+        default_encoding: str | typing.Callable[[bytes], str] = "utf-8",
+    ) -> None:
+        self.status_code = status_code
+        self.headers = Headers(headers)
+
+        self._request: Request | None = request
+
+        # When follow_redirects=False and a redirect is received,
+        # the client will set `response.next_request`.
+        self.next_request: Request | None = None
+
+        self.extensions = {} if extensions is None else dict(extensions)
+        self.history = [] if history is None else list(history)
+
+        self.is_closed = False
+        self.is_stream_consumed = False
+
+        self.default_encoding = default_encoding
+
+        if stream is None:
+            headers, stream = encode_response(content, text, html, json)
+            self._prepare(headers)
+            self.stream = stream
+            if isinstance(stream, ByteStream):
+                # Load the response body, except for streaming content.
+                self.read()
+        else:
+            # There's an important distinction between `Response(content=...)`,
+            # and `Response(stream=...)`.
+            #
+            # Using `content=...` implies automatically populated content headers,
+            # of either `Content-Length: ...` or `Transfer-Encoding: chunked`.
+            #
+            # Using `stream=...` will not automatically include any content headers.
+            #
+            # As an end-user you don't really need `stream=...`. It's only
+            # useful when creating response instances having received a stream
+            # from the transport API.
+            self.stream = stream
+
+        self._num_bytes_downloaded = 0
+
+    def _prepare(self, default_headers: dict[str, str]) -> None:
+        for key, value in default_headers.items():
+            # Ignore Transfer-Encoding if the Content-Length has been set explicitly.
+            if key.lower() == "transfer-encoding" and "content-length" in self.headers:
+                continue
+            self.headers.setdefault(key, value)
+
+    @property
+    def elapsed(self) -> datetime.timedelta:
+        """
+        Returns the time taken for the complete request/response
+        cycle to complete.
+        """
+        if not hasattr(self, "_elapsed"):
+            raise RuntimeError(
+                "'.elapsed' may only be accessed after the response "
+                "has been read or closed."
+            )
+        return self._elapsed
+
+    @elapsed.setter
+    def elapsed(self, elapsed: datetime.timedelta) -> None:
+        self._elapsed = elapsed
+
+    @property
+    def request(self) -> Request:
+        """
+        Returns the request instance associated to the current response.
+        """
+        if self._request is None:
+            raise RuntimeError(
+                "The request instance has not been set on this response."
+            )
+        return self._request
+
+    @request.setter
+    def request(self, value: Request) -> None:
+        self._request = value
+
+    @property
+    def http_version(self) -> str:
+        try:
+            http_version: bytes = self.extensions["http_version"]
+        except KeyError:
+            return "HTTP/1.1"
+        else:
+            return http_version.decode("ascii", errors="ignore")
+
+    @property
+    def reason_phrase(self) -> str:
+        try:
+            reason_phrase: bytes = self.extensions["reason_phrase"]
+        except KeyError:
+            return codes.get_reason_phrase(self.status_code)
+        else:
+            return reason_phrase.decode("ascii", errors="ignore")
+
+    @property
+    def url(self) -> URL:
+        """
+        Returns the URL for which the request was made.
+        """
+        return self.request.url
+
+    @property
+    def content(self) -> bytes:
+        if not hasattr(self, "_content"):
+            raise ResponseNotRead()
+        return self._content
+
+    @property
+    def text(self) -> str:
+        if not hasattr(self, "_text"):
+            content = self.content
+            if not content:
+                self._text = ""
+            else:
+                decoder = TextDecoder(encoding=self.encoding or "utf-8")
+                self._text = "".join([decoder.decode(self.content), decoder.flush()])
+        return self._text
+
+    @property
+    def encoding(self) -> str | None:
+        """
+        Return an encoding to use for decoding the byte content into text.
+        The priority for determining this is given by...
+
+        * `.encoding = <>` has been set explicitly.
+        * The encoding as specified by the charset parameter in the Content-Type header.
+        * The encoding as determined by `default_encoding`, which may either be
+          a string like "utf-8" indicating the encoding to use, or may be a callable
+          which enables charset autodetection.
+        """
+        if not hasattr(self, "_encoding"):
+            encoding = self.charset_encoding
+            if encoding is None or not _is_known_encoding(encoding):
+                if isinstance(self.default_encoding, str):
+                    encoding = self.default_encoding
+                elif hasattr(self, "_content"):
+                    encoding = self.default_encoding(self._content)
+            self._encoding = encoding or "utf-8"
+        return self._encoding
+
+    @encoding.setter
+    def encoding(self, value: str) -> None:
+        """
+        Set the encoding to use for decoding the byte content into text.
+
+        If the `text` attribute has been accessed, attempting to set the
+        encoding will throw a ValueError.
+        """
+        if hasattr(self, "_text"):
+            raise ValueError(
+                "Setting encoding after `text` has been accessed is not allowed."
+            )
+        self._encoding = value
+
+    @property
+    def charset_encoding(self) -> str | None:
+        """
+        Return the encoding, as specified by the Content-Type header.
+        """
+        content_type = self.headers.get("Content-Type")
+        if content_type is None:
+            return None
+
+        return _parse_content_type_charset(content_type)
+
+    def _get_content_decoder(self) -> ContentDecoder:
+        """
+        Returns a decoder instance which can be used to decode the raw byte
+        content, depending on the Content-Encoding used in the response.
+        """
+        if not hasattr(self, "_decoder"):
+            decoders: list[ContentDecoder] = []
+            values = self.headers.get_list("content-encoding", split_commas=True)
+            for value in values:
+                value = value.strip().lower()
+                try:
+                    decoder_cls = SUPPORTED_DECODERS[value]
+                    decoders.append(decoder_cls())
+                except KeyError:
+                    continue
+
+            if len(decoders) == 1:
+                self._decoder = decoders[0]
+            elif len(decoders) > 1:
+                self._decoder = MultiDecoder(children=decoders)
+            else:
+                self._decoder = IdentityDecoder()
+
+        return self._decoder
+
+    @property
+    def is_informational(self) -> bool:
+        """
+        A property which is `True` for 1xx status codes, `False` otherwise.
+        """
+        return codes.is_informational(self.status_code)
+
+    @property
+    def is_success(self) -> bool:
+        """
+        A property which is `True` for 2xx status codes, `False` otherwise.
+        """
+        return codes.is_success(self.status_code)
+
+    @property
+    def is_redirect(self) -> bool:
+        """
+        A property which is `True` for 3xx status codes, `False` otherwise.
+
+        Note that not all responses with a 3xx status code indicate a URL redirect.
+
+        Use `response.has_redirect_location` to determine responses with a properly
+        formed URL redirection.
+        """
+        return codes.is_redirect(self.status_code)
+
+    @property
+    def is_client_error(self) -> bool:
+        """
+        A property which is `True` for 4xx status codes, `False` otherwise.
+        """
+        return codes.is_client_error(self.status_code)
+
+    @property
+    def is_server_error(self) -> bool:
+        """
+        A property which is `True` for 5xx status codes, `False` otherwise.
+        """
+        return codes.is_server_error(self.status_code)
+
+    @property
+    def is_error(self) -> bool:
+        """
+        A property which is `True` for 4xx and 5xx status codes, `False` otherwise.
+        """
+        return codes.is_error(self.status_code)
+
+    @property
+    def has_redirect_location(self) -> bool:
+        """
+        Returns True for 3xx responses with a properly formed URL redirection,
+        `False` otherwise.
+        """
+        return (
+            self.status_code
+            in (
+                # 301 (Cacheable redirect. Method may change to GET.)
+                codes.MOVED_PERMANENTLY,
+                # 302 (Uncacheable redirect. Method may change to GET.)
+                codes.FOUND,
+                # 303 (Client should make a GET or HEAD request.)
+                codes.SEE_OTHER,
+                # 307 (Equiv. 302, but retain method)
+                codes.TEMPORARY_REDIRECT,
+                # 308 (Equiv. 301, but retain method)
+                codes.PERMANENT_REDIRECT,
+            )
+            and "Location" in self.headers
+        )
+
+    def raise_for_status(self) -> Response:
+        """
+        Raise the `HTTPStatusError` if one occurred.
+        """
+        request = self._request
+        if request is None:
+            raise RuntimeError(
+                "Cannot call `raise_for_status` as the request "
+                "instance has not been set on this response."
+            )
+
+        if self.is_success:
+            return self
+
+        if self.has_redirect_location:
+            message = (
+                "{error_type} '{0.status_code} {0.reason_phrase}' for url '{0.url}'\n"
+                "Redirect location: '{0.headers[location]}'\n"
+                "For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/{0.status_code}"
+            )
+        else:
+            message = (
+                "{error_type} '{0.status_code} {0.reason_phrase}' for url '{0.url}'\n"
+                "For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/{0.status_code}"
+            )
+
+        status_class = self.status_code // 100
+        error_types = {
+            1: "Informational response",
+            3: "Redirect response",
+            4: "Client error",
+            5: "Server error",
+        }
+        error_type = error_types.get(status_class, "Invalid status code")
+        message = message.format(self, error_type=error_type)
+        raise HTTPStatusError(message, request=request, response=self)
+
+    def json(self, **kwargs: typing.Any) -> typing.Any:
+        return jsonlib.loads(self.content, **kwargs)
+
+    @property
+    def cookies(self) -> Cookies:
+        if not hasattr(self, "_cookies"):
+            self._cookies = Cookies()
+            self._cookies.extract_cookies(self)
+        return self._cookies
+
+    @property
+    def links(self) -> dict[str | None, dict[str, str]]:
+        """
+        Returns the parsed header links of the response, if any
+        """
+        header = self.headers.get("link")
+        if header is None:
+            return {}
+
+        return {
+            (link.get("rel") or link.get("url")): link
+            for link in _parse_header_links(header)
+        }
+
+    @property
+    def num_bytes_downloaded(self) -> int:
+        return self._num_bytes_downloaded
+
+    def __repr__(self) -> str:
+        return f"<Response [{self.status_code} {self.reason_phrase}]>"
+
+    def __getstate__(self) -> dict[str, typing.Any]:
+        return {
+            name: value
+            for name, value in self.__dict__.items()
+            if name not in ["extensions", "stream", "is_closed", "_decoder"]
+        }
+
+    def __setstate__(self, state: dict[str, typing.Any]) -> None:
+        for name, value in state.items():
+            setattr(self, name, value)
+        self.is_closed = True
+        self.extensions = {}
+        self.stream = UnattachedStream()
+
+    def read(self) -> bytes:
+        """
+        Read and return the response content.
+        """
+        if not hasattr(self, "_content"):
+            self._content = b"".join(self.iter_bytes())
+        return self._content
+
+    def iter_bytes(self, chunk_size: int | None = None) -> typing.Iterator[bytes]:
+        """
+        A byte-iterator over the decoded response content.
+        This allows us to handle gzip, deflate, brotli, and zstd encoded responses.
+        """
+        if hasattr(self, "_content"):
+            chunk_size = len(self._content) if chunk_size is None else chunk_size
+            for i in range(0, len(self._content), max(chunk_size, 1)):
+                yield self._content[i : i + chunk_size]
+        else:
+            decoder = self._get_content_decoder()
+            chunker = ByteChunker(chunk_size=chunk_size)
+            with request_context(request=self._request):
+                for raw_bytes in self.iter_raw():
+                    decoded = decoder.decode(raw_bytes)
+                    for chunk in chunker.decode(decoded):
+                        yield chunk
+                decoded = decoder.flush()
+                for chunk in chunker.decode(decoded):
+                    yield chunk  # pragma: no cover
+                for chunk in chunker.flush():
+                    yield chunk
+
+    def iter_text(self, chunk_size: int | None = None) -> typing.Iterator[str]:
+        """
+        A str-iterator over the decoded response content
+        that handles both gzip, deflate, etc but also detects the content's
+        string encoding.
+        """
+        decoder = TextDecoder(encoding=self.encoding or "utf-8")
+        chunker = TextChunker(chunk_size=chunk_size)
+        with request_context(request=self._request):
+            for byte_content in self.iter_bytes():
+                text_content = decoder.decode(byte_content)
+                for chunk in chunker.decode(text_content):
+                    yield chunk
+            text_content = decoder.flush()
+            for chunk in chunker.decode(text_content):
+                yield chunk  # pragma: no cover
+            for chunk in chunker.flush():
+                yield chunk
+
+    def iter_lines(self) -> typing.Iterator[str]:
+        decoder = LineDecoder()
+        with request_context(request=self._request):
+            for text in self.iter_text():
+                for line in decoder.decode(text):
+                    yield line
+            for line in decoder.flush():
+                yield line
+
+    def iter_raw(self, chunk_size: int | None = None) -> typing.Iterator[bytes]:
+        """
+        A byte-iterator over the raw response content.
+        """
+        if self.is_stream_consumed:
+            raise StreamConsumed()
+        if self.is_closed:
+            raise StreamClosed()
+        if not isinstance(self.stream, SyncByteStream):
+            raise RuntimeError("Attempted to call a sync iterator on an async stream.")
+
+        self.is_stream_consumed = True
+        self._num_bytes_downloaded = 0
+        chunker = ByteChunker(chunk_size=chunk_size)
+
+        with request_context(request=self._request):
+            for raw_stream_bytes in self.stream:
+                self._num_bytes_downloaded += len(raw_stream_bytes)
+                for chunk in chunker.decode(raw_stream_bytes):
+                    yield chunk
+
+        for chunk in chunker.flush():
+            yield chunk
+
+        self.close()
+
+    def close(self) -> None:
+        """
+        Close the response and release the connection.
+        Automatically called if the response body is read to completion.
+        """
+        if not isinstance(self.stream, SyncByteStream):
+            raise RuntimeError("Attempted to call an sync close on an async stream.")
+
+        if not self.is_closed:
+            self.is_closed = True
+            with request_context(request=self._request):
+                self.stream.close()
+
+    async def aread(self) -> bytes:
+        """
+        Read and return the response content.
+        """
+        if not hasattr(self, "_content"):
+            self._content = b"".join([part async for part in self.aiter_bytes()])
+        return self._content
+
+    async def aiter_bytes(
+        self, chunk_size: int | None = None
+    ) -> typing.AsyncIterator[bytes]:
+        """
+        A byte-iterator over the decoded response content.
+        This allows us to handle gzip, deflate, brotli, and zstd encoded responses.
+        """
+        if hasattr(self, "_content"):
+            chunk_size = len(self._content) if chunk_size is None else chunk_size
+            for i in range(0, len(self._content), max(chunk_size, 1)):
+                yield self._content[i : i + chunk_size]
+        else:
+            decoder = self._get_content_decoder()
+            chunker = ByteChunker(chunk_size=chunk_size)
+            with request_context(request=self._request):
+                async for raw_bytes in self.aiter_raw():
+                    decoded = decoder.decode(raw_bytes)
+                    for chunk in chunker.decode(decoded):
+                        yield chunk
+                decoded = decoder.flush()
+                for chunk in chunker.decode(decoded):
+                    yield chunk  # pragma: no cover
+                for chunk in chunker.flush():
+                    yield chunk
+
+    async def aiter_text(
+        self, chunk_size: int | None = None
+    ) -> typing.AsyncIterator[str]:
+        """
+        A str-iterator over the decoded response content
+        that handles both gzip, deflate, etc but also detects the content's
+        string encoding.
+        """
+        decoder = TextDecoder(encoding=self.encoding or "utf-8")
+        chunker = TextChunker(chunk_size=chunk_size)
+        with request_context(request=self._request):
+            async for byte_content in self.aiter_bytes():
+                text_content = decoder.decode(byte_content)
+                for chunk in chunker.decode(text_content):
+                    yield chunk
+            text_content = decoder.flush()
+            for chunk in chunker.decode(text_content):
+                yield chunk  # pragma: no cover
+            for chunk in chunker.flush():
+                yield chunk
+
+    async def aiter_lines(self) -> typing.AsyncIterator[str]:
+        decoder = LineDecoder()
+        with request_context(request=self._request):
+            async for text in self.aiter_text():
+                for line in decoder.decode(text):
+                    yield line
+            for line in decoder.flush():
+                yield line
+
+    async def aiter_raw(
+        self, chunk_size: int | None = None
+    ) -> typing.AsyncIterator[bytes]:
+        """
+        A byte-iterator over the raw response content.
+        """
+        if self.is_stream_consumed:
+            raise StreamConsumed()
+        if self.is_closed:
+            raise StreamClosed()
+        if not isinstance(self.stream, AsyncByteStream):
+            raise RuntimeError("Attempted to call an async iterator on an sync stream.")
+
+        self.is_stream_consumed = True
+        self._num_bytes_downloaded = 0
+        chunker = ByteChunker(chunk_size=chunk_size)
+
+        with request_context(request=self._request):
+            async for raw_stream_bytes in self.stream:
+                self._num_bytes_downloaded += len(raw_stream_bytes)
+                for chunk in chunker.decode(raw_stream_bytes):
+                    yield chunk
+
+        for chunk in chunker.flush():
+            yield chunk
+
+        await self.aclose()
+
+    async def aclose(self) -> None:
+        """
+        Close the response and release the connection.
+        Automatically called if the response body is read to completion.
+        """
+        if not isinstance(self.stream, AsyncByteStream):
+            raise RuntimeError("Attempted to call an async close on an sync stream.")
+
+        if not self.is_closed:
+            self.is_closed = True
+            with request_context(request=self._request):
+                await self.stream.aclose()
+
+
+class Cookies(typing.MutableMapping[str, str]):
+    """
+    HTTP Cookies, as a mutable mapping.
+    """
+
+    def __init__(self, cookies: CookieTypes | None = None) -> None:
+        if cookies is None or isinstance(cookies, dict):
+            self.jar = CookieJar()
+            if isinstance(cookies, dict):
+                for key, value in cookies.items():
+                    self.set(key, value)
+        elif isinstance(cookies, list):
+            self.jar = CookieJar()
+            for key, value in cookies:
+                self.set(key, value)
+        elif isinstance(cookies, Cookies):
+            self.jar = CookieJar()
+            for cookie in cookies.jar:
+                self.jar.set_cookie(cookie)
+        else:
+            self.jar = cookies
+
+    def extract_cookies(self, response: Response) -> None:
+        """
+        Loads any cookies based on the response `Set-Cookie` headers.
+        """
+        urllib_response = self._CookieCompatResponse(response)
+        urllib_request = self._CookieCompatRequest(response.request)
+
+        self.jar.extract_cookies(urllib_response, urllib_request)  # type: ignore
+
+    def set_cookie_header(self, request: Request) -> None:
+        """
+        Sets an appropriate 'Cookie:' HTTP header on the `Request`.
+        """
+        urllib_request = self._CookieCompatRequest(request)
+        self.jar.add_cookie_header(urllib_request)
+
+    def set(self, name: str, value: str, domain: str = "", path: str = "/") -> None:
+        """
+        Set a cookie value by name. May optionally include domain and path.
+        """
+        kwargs = {
+            "version": 0,
+            "name": name,
+            "value": value,
+            "port": None,
+            "port_specified": False,
+            "domain": domain,
+            "domain_specified": bool(domain),
+            "domain_initial_dot": domain.startswith("."),
+            "path": path,
+            "path_specified": bool(path),
+            "secure": False,
+            "expires": None,
+            "discard": True,
+            "comment": None,
+            "comment_url": None,
+            "rest": {"HttpOnly": None},
+            "rfc2109": False,
+        }
+        cookie = Cookie(**kwargs)  # type: ignore
+        self.jar.set_cookie(cookie)
+
+    def get(  # type: ignore
+        self,
+        name: str,
+        default: str | None = None,
+        domain: str | None = None,
+        path: str | None = None,
+    ) -> str | None:
+        """
+        Get a cookie by name. May optionally include domain and path
+        in order to specify exactly which cookie to retrieve.
+        """
+        value = None
+        for cookie in self.jar:
+            if cookie.name == name:
+                if domain is None or cookie.domain == domain:
+                    if path is None or cookie.path == path:
+                        if value is not None:
+                            message = f"Multiple cookies exist with name={name}"
+                            raise CookieConflict(message)
+                        value = cookie.value
+
+        if value is None:
+            return default
+        return value
+
+    def delete(
+        self,
+        name: str,
+        domain: str | None = None,
+        path: str | None = None,
+    ) -> None:
+        """
+        Delete a cookie by name. May optionally include domain and path
+        in order to specify exactly which cookie to delete.
+        """
+        if domain is not None and path is not None:
+            return self.jar.clear(domain, path, name)
+
+        remove = [
+            cookie
+            for cookie in self.jar
+            if cookie.name == name
+            and (domain is None or cookie.domain == domain)
+            and (path is None or cookie.path == path)
+        ]
+
+        for cookie in remove:
+            self.jar.clear(cookie.domain, cookie.path, cookie.name)
+
+    def clear(self, domain: str | None = None, path: str | None = None) -> None:
+        """
+        Delete all cookies. Optionally include a domain and path in
+        order to only delete a subset of all the cookies.
+        """
+        args = []
+        if domain is not None:
+            args.append(domain)
+        if path is not None:
+            assert domain is not None
+            args.append(path)
+        self.jar.clear(*args)
+
+    def update(self, cookies: CookieTypes | None = None) -> None:  # type: ignore
+        cookies = Cookies(cookies)
+        for cookie in cookies.jar:
+            self.jar.set_cookie(cookie)
+
+    def __setitem__(self, name: str, value: str) -> None:
+        return self.set(name, value)
+
+    def __getitem__(self, name: str) -> str:
+        value = self.get(name)
+        if value is None:
+            raise KeyError(name)
+        return value
+
+    def __delitem__(self, name: str) -> None:
+        return self.delete(name)
+
+    def __len__(self) -> int:
+        return len(self.jar)
+
+    def __iter__(self) -> typing.Iterator[str]:
+        return (cookie.name for cookie in self.jar)
+
+    def __bool__(self) -> bool:
+        for _ in self.jar:
+            return True
+        return False
+
+    def __repr__(self) -> str:
+        cookies_repr = ", ".join(
+            [
+                f"<Cookie {cookie.name}={cookie.value} for {cookie.domain} />"
+                for cookie in self.jar
+            ]
+        )
+
+        return f"<Cookies[{cookies_repr}]>"
+
+    class _CookieCompatRequest(urllib.request.Request):
+        """
+        Wraps a `Request` instance up in a compatibility interface suitable
+        for use with `CookieJar` operations.
+        """
+
+        def __init__(self, request: Request) -> None:
+            super().__init__(
+                url=str(request.url),
+                headers=dict(request.headers),
+                method=request.method,
+            )
+            self.request = request
+
+        def add_unredirected_header(self, key: str, value: str) -> None:
+            super().add_unredirected_header(key, value)
+            self.request.headers[key] = value
+
+    class _CookieCompatResponse:
+        """
+        Wraps a `Request` instance up in a compatibility interface suitable
+        for use with `CookieJar` operations.
+        """
+
+        def __init__(self, response: Response) -> None:
+            self.response = response
+
+        def info(self) -> email.message.Message:
+            info = email.message.Message()
+            for key, value in self.response.headers.multi_items():
+                # Note that setting `info[key]` here is an "append" operation,
+                # not a "replace" operation.
+                # https://docs.python.org/3/library/email.compat32-message.html#email.message.Message.__setitem__
+                info[key] = value
+            return info

venv/lib/python3.12/site-packages/httpx/_utils.py

@@ -0,0 +1,242 @@
+from __future__ import annotations
+
+import ipaddress
+import os
+import re
+import typing
+from urllib.request import getproxies
+
+from ._types import PrimitiveData
+
+if typing.TYPE_CHECKING:  # pragma: no cover
+    from ._urls import URL
+
+
+def primitive_value_to_str(value: PrimitiveData) -> str:
+    """
+    Coerce a primitive data type into a string value.
+
+    Note that we prefer JSON-style 'true'/'false' for boolean values here.
+    """
+    if value is True:
+        return "true"
+    elif value is False:
+        return "false"
+    elif value is None:
+        return ""
+    return str(value)
+
+
+def get_environment_proxies() -> dict[str, str | None]:
+    """Gets proxy information from the environment"""
+
+    # urllib.request.getproxies() falls back on System
+    # Registry and Config for proxies on Windows and macOS.
+    # We don't want to propagate non-HTTP proxies into
+    # our configuration such as 'TRAVIS_APT_PROXY'.
+    proxy_info = getproxies()
+    mounts: dict[str, str | None] = {}
+
+    for scheme in ("http", "https", "all"):
+        if proxy_info.get(scheme):
+            hostname = proxy_info[scheme]
+            mounts[f"{scheme}://"] = (
+                hostname if "://" in hostname else f"http://{hostname}"
+            )
+
+    no_proxy_hosts = [host.strip() for host in proxy_info.get("no", "").split(",")]
+    for hostname in no_proxy_hosts:
+        # See https://curl.haxx.se/libcurl/c/CURLOPT_NOPROXY.html for details
+        # on how names in `NO_PROXY` are handled.
+        if hostname == "*":
+            # If NO_PROXY=* is used or if "*" occurs as any one of the comma
+            # separated hostnames, then we should just bypass any information
+            # from HTTP_PROXY, HTTPS_PROXY, ALL_PROXY, and always ignore
+            # proxies.
+            return {}
+        elif hostname:
+            # NO_PROXY=.google.com is marked as "all://*.google.com,
+            #   which disables "www.google.com" but not "google.com"
+            # NO_PROXY=google.com is marked as "all://*google.com,
+            #   which disables "www.google.com" and "google.com".
+            #   (But not "wwwgoogle.com")
+            # NO_PROXY can include domains, IPv6, IPv4 addresses and "localhost"
+            #   NO_PROXY=example.com,::1,localhost,192.168.0.0/16
+            if "://" in hostname:
+                mounts[hostname] = None
+            elif is_ipv4_hostname(hostname):
+                mounts[f"all://{hostname}"] = None
+            elif is_ipv6_hostname(hostname):
+                mounts[f"all://[{hostname}]"] = None
+            elif hostname.lower() == "localhost":
+                mounts[f"all://{hostname}"] = None
+            else:
+                mounts[f"all://*{hostname}"] = None
+
+    return mounts
+
+
+def to_bytes(value: str | bytes, encoding: str = "utf-8") -> bytes:
+    return value.encode(encoding) if isinstance(value, str) else value
+
+
+def to_str(value: str | bytes, encoding: str = "utf-8") -> str:
+    return value if isinstance(value, str) else value.decode(encoding)
+
+
+def to_bytes_or_str(value: str, match_type_of: typing.AnyStr) -> typing.AnyStr:
+    return value if isinstance(match_type_of, str) else value.encode()
+
+
+def unquote(value: str) -> str:
+    return value[1:-1] if value[0] == value[-1] == '"' else value
+
+
+def peek_filelike_length(stream: typing.Any) -> int | None:
+    """
+    Given a file-like stream object, return its length in number of bytes
+    without reading it into memory.
+    """
+    try:
+        # Is it an actual file?
+        fd = stream.fileno()
+        # Yup, seems to be an actual file.
+        length = os.fstat(fd).st_size
+    except (AttributeError, OSError):
+        # No... Maybe it's something that supports random access, like `io.BytesIO`?
+        try:
+            # Assuming so, go to end of stream to figure out its length,
+            # then put it back in place.
+            offset = stream.tell()
+            length = stream.seek(0, os.SEEK_END)
+            stream.seek(offset)
+        except (AttributeError, OSError):
+            # Not even that? Sorry, we're doomed...
+            return None
+
+    return length
+
+
+class URLPattern:
+    """
+    A utility class currently used for making lookups against proxy keys...
+
+    # Wildcard matching...
+    >>> pattern = URLPattern("all://")
+    >>> pattern.matches(httpx.URL("http://example.com"))
+    True
+
+    # Witch scheme matching...
+    >>> pattern = URLPattern("https://")
+    >>> pattern.matches(httpx.URL("https://example.com"))
+    True
+    >>> pattern.matches(httpx.URL("http://example.com"))
+    False
+
+    # With domain matching...
+    >>> pattern = URLPattern("https://example.com")
+    >>> pattern.matches(httpx.URL("https://example.com"))
+    True
+    >>> pattern.matches(httpx.URL("http://example.com"))
+    False
+    >>> pattern.matches(httpx.URL("https://other.com"))
+    False
+
+    # Wildcard scheme, with domain matching...
+    >>> pattern = URLPattern("all://example.com")
+    >>> pattern.matches(httpx.URL("https://example.com"))
+    True
+    >>> pattern.matches(httpx.URL("http://example.com"))
+    True
+    >>> pattern.matches(httpx.URL("https://other.com"))
+    False
+
+    # With port matching...
+    >>> pattern = URLPattern("https://example.com:1234")
+    >>> pattern.matches(httpx.URL("https://example.com:1234"))
+    True
+    >>> pattern.matches(httpx.URL("https://example.com"))
+    False
+    """
+
+    def __init__(self, pattern: str) -> None:
+        from ._urls import URL
+
+        if pattern and ":" not in pattern:
+            raise ValueError(
+                f"Proxy keys should use proper URL forms rather "
+                f"than plain scheme strings. "
+                f'Instead of "{pattern}", use "{pattern}://"'
+            )
+
+        url = URL(pattern)
+        self.pattern = pattern
+        self.scheme = "" if url.scheme == "all" else url.scheme
+        self.host = "" if url.host == "*" else url.host
+        self.port = url.port
+        if not url.host or url.host == "*":
+            self.host_regex: typing.Pattern[str] | None = None
+        elif url.host.startswith("*."):
+            # *.example.com should match "www.example.com", but not "example.com"
+            domain = re.escape(url.host[2:])
+            self.host_regex = re.compile(f"^.+\\.{domain}$")
+        elif url.host.startswith("*"):
+            # *example.com should match "www.example.com" and "example.com"
+            domain = re.escape(url.host[1:])
+            self.host_regex = re.compile(f"^(.+\\.)?{domain}$")
+        else:
+            # example.com should match "example.com" but not "www.example.com"
+            domain = re.escape(url.host)
+            self.host_regex = re.compile(f"^{domain}$")
+
+    def matches(self, other: URL) -> bool:
+        if self.scheme and self.scheme != other.scheme:
+            return False
+        if (
+            self.host
+            and self.host_regex is not None
+            and not self.host_regex.match(other.host)
+        ):
+            return False
+        if self.port is not None and self.port != other.port:
+            return False
+        return True
+
+    @property
+    def priority(self) -> tuple[int, int, int]:
+        """
+        The priority allows URLPattern instances to be sortable, so that
+        we can match from most specific to least specific.
+        """
+        # URLs with a port should take priority over URLs without a port.
+        port_priority = 0 if self.port is not None else 1
+        # Longer hostnames should match first.
+        host_priority = -len(self.host)
+        # Longer schemes should match first.
+        scheme_priority = -len(self.scheme)
+        return (port_priority, host_priority, scheme_priority)
+
+    def __hash__(self) -> int:
+        return hash(self.pattern)
+
+    def __lt__(self, other: URLPattern) -> bool:
+        return self.priority < other.priority
+
+    def __eq__(self, other: typing.Any) -> bool:
+        return isinstance(other, URLPattern) and self.pattern == other.pattern
+
+
+def is_ipv4_hostname(hostname: str) -> bool:
+    try:
+        ipaddress.IPv4Address(hostname.split("/")[0])
+    except Exception:
+        return False
+    return True
+
+
+def is_ipv6_hostname(hostname: str) -> bool:
+    try:
+        ipaddress.IPv6Address(hostname.split("/")[0])
+    except Exception:
+        return False
+    return True

venv/lib/python3.12/site-packages/pip-24.0.dist-info/AUTHORS.txt

@@ -0,0 +1,760 @@
+@Switch01
+A_Rog
+Aakanksha Agrawal
+Abhinav Sagar
+ABHYUDAY PRATAP SINGH
+abs51295
+AceGentile
+Adam Chainz
+Adam Tse
+Adam Wentz
+admin
+Adrien Morison
+ahayrapetyan
+Ahilya
+AinsworthK
+Akash Srivastava
+Alan Yee
+Albert Tugushev
+Albert-Guan
+albertg
+Alberto Sottile
+Aleks Bunin
+Ales Erjavec
+Alethea Flowers
+Alex Gaynor
+Alex Grönholm
+Alex Hedges
+Alex Loosley
+Alex Morega
+Alex Stachowiak
+Alexander Shtyrov
+Alexandre Conrad
+Alexey Popravka
+Aleš Erjavec
+Alli
+Ami Fischman
+Ananya Maiti
+Anatoly Techtonik
+Anders Kaseorg
+Andre Aguiar
+Andreas Lutro
+Andrei Geacar
+Andrew Gaul
+Andrew Shymanel
+Andrey Bienkowski
+Andrey Bulgakov
+Andrés Delfino
+Andy Freeland
+Andy Kluger
+Ani Hayrapetyan
+Aniruddha Basak
+Anish Tambe
+Anrs Hu
+Anthony Sottile
+Antoine Musso
+Anton Ovchinnikov
+Anton Patrushev
+Antonio Alvarado Hernandez
+Antony Lee
+Antti Kaihola
+Anubhav Patel
+Anudit Nagar
+Anuj Godase
+AQNOUCH Mohammed
+AraHaan
+Arindam Choudhury
+Armin Ronacher
+Artem
+Arun Babu Neelicattu
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+Ashwin Ramaswami
+atse
+Atsushi Odagiri
+Avinash Karhana
+Avner Cohen
+Awit (Ah-Wit) Ghirmai
+Baptiste Mispelon
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+barneygale
+Bartek Ogryczak
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+Berker Peksag
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+GOTO Hayato
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+KOLANICH
+kpinc
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+Laurie Opperman
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+Łukasz Langa
+Роман Донченко
+Семён Марьясин
+‮rekcäH nitraM‮

venv/lib/python3.12/site-packages/pip-24.0.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

venv/lib/python3.12/site-packages/pip-24.0.dist-info/LICENSE.txt

@@ -0,0 +1,20 @@
+Copyright (c) 2008-present The pip developers (see AUTHORS.txt file)
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

venv/lib/python3.12/site-packages/pip-24.0.dist-info/METADATA

@@ -0,0 +1,88 @@
+Metadata-Version: 2.1
+Name: pip
+Version: 24.0
+Summary: The PyPA recommended tool for installing Python packages.
+Author-email: The pip developers <distutils-sig@python.org>
+License: MIT
+Project-URL: Homepage, https://pip.pypa.io/
+Project-URL: Documentation, https://pip.pypa.io
+Project-URL: Source, https://github.com/pypa/pip
+Project-URL: Changelog, https://pip.pypa.io/en/stable/news/
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Topic :: Software Development :: Build Tools
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: 3.7
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+Requires-Python: >=3.7
+Description-Content-Type: text/x-rst
+License-File: LICENSE.txt
+License-File: AUTHORS.txt
+
+pip - The Python Package Installer
+==================================
+
+.. image:: https://img.shields.io/pypi/v/pip.svg
+   :target: https://pypi.org/project/pip/
+   :alt: PyPI
+
+.. image:: https://img.shields.io/pypi/pyversions/pip
+   :target: https://pypi.org/project/pip
+   :alt: PyPI - Python Version
+
+.. image:: https://readthedocs.org/projects/pip/badge/?version=latest
+   :target: https://pip.pypa.io/en/latest
+   :alt: Documentation
+
+pip is the `package installer`_ for Python. You can use pip to install packages from the `Python Package Index`_ and other indexes.
+
+Please take a look at our documentation for how to install and use pip:
+
+* `Installation`_
+* `Usage`_
+
+We release updates regularly, with a new version every 3 months. Find more details in our documentation:
+
+* `Release notes`_
+* `Release process`_
+
+If you find bugs, need help, or want to talk to the developers, please use our mailing lists or chat rooms:
+
+* `Issue tracking`_
+* `Discourse channel`_
+* `User IRC`_
+
+If you want to get involved head over to GitHub to get the source code, look at our development documentation and feel free to jump on the developer mailing lists and chat rooms:
+
+* `GitHub page`_
+* `Development documentation`_
+* `Development IRC`_
+
+Code of Conduct
+---------------
+
+Everyone interacting in the pip project's codebases, issue trackers, chat
+rooms, and mailing lists is expected to follow the `PSF Code of Conduct`_.
+
+.. _package installer: https://packaging.python.org/guides/tool-recommendations/
+.. _Python Package Index: https://pypi.org
+.. _Installation: https://pip.pypa.io/en/stable/installation/
+.. _Usage: https://pip.pypa.io/en/stable/
+.. _Release notes: https://pip.pypa.io/en/stable/news.html
+.. _Release process: https://pip.pypa.io/en/latest/development/release-process/
+.. _GitHub page: https://github.com/pypa/pip
+.. _Development documentation: https://pip.pypa.io/en/latest/development
+.. _Issue tracking: https://github.com/pypa/pip/issues
+.. _Discourse channel: https://discuss.python.org/c/packaging
+.. _User IRC: https://kiwiirc.com/nextclient/#ircs://irc.libera.chat:+6697/pypa
+.. _Development IRC: https://kiwiirc.com/nextclient/#ircs://irc.libera.chat:+6697/pypa-dev
+.. _PSF Code of Conduct: https://github.com/pypa/.github/blob/main/CODE_OF_CONDUCT.md

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+pip/_vendor/urllib3/util/ssltransport.py,sha256=NA-u5rMTrDFDFC8QzRKUEKMG0561hOD4qBTr3Z4pv6E,6895
+pip/_vendor/urllib3/util/timeout.py,sha256=cwq4dMk87mJHSBktK1miYJ-85G-3T3RmT20v7SFCpno,10168
+pip/_vendor/urllib3/util/url.py,sha256=lCAE7M5myA8EDdW0sJuyyZhVB9K_j38ljWhHAnFaWoE,14296
+pip/_vendor/urllib3/util/wait.py,sha256=fOX0_faozG2P7iVojQoE1mbydweNyTcm-hXEfFrTtLI,5403
+pip/_vendor/vendor.txt,sha256=4NKk7fQhVsZw0U-0zmm9Q2LgGyaPXacFbnJAaS0Q6EY,493
+pip/_vendor/webencodings/__init__.py,sha256=qOBJIuPy_4ByYH6W_bNgJF-qYQ2DoU-dKsDu5yRWCXg,10579
+pip/_vendor/webencodings/__pycache__/__init__.cpython-312.pyc,,
+pip/_vendor/webencodings/__pycache__/labels.cpython-312.pyc,,
+pip/_vendor/webencodings/__pycache__/mklabels.cpython-312.pyc,,
+pip/_vendor/webencodings/__pycache__/tests.cpython-312.pyc,,
+pip/_vendor/webencodings/__pycache__/x_user_defined.cpython-312.pyc,,
+pip/_vendor/webencodings/labels.py,sha256=4AO_KxTddqGtrL9ns7kAPjb0CcN6xsCIxbK37HY9r3E,8979
+pip/_vendor/webencodings/mklabels.py,sha256=GYIeywnpaLnP0GSic8LFWgd0UVvO_l1Nc6YoF-87R_4,1305
+pip/_vendor/webencodings/tests.py,sha256=OtGLyjhNY1fvkW1GvLJ_FV9ZoqC9Anyjr7q3kxTbzNs,6563
+pip/_vendor/webencodings/x_user_defined.py,sha256=yOqWSdmpytGfUgh_Z6JYgDNhoc-BAHyyeeT15Fr42tM,4307
+pip/py.typed,sha256=EBVvvPRTn_eIpz5e5QztSCdrMX7Qwd7VP93RSoIlZ2I,286

venv/lib/python3.12/site-packages/pip-24.0.dist-info/WHEEL

@@ -0,0 +1,5 @@
+Wheel-Version: 1.0
+Generator: bdist_wheel (0.42.0)
+Root-Is-Purelib: true
+Tag: py3-none-any
+

venv/lib/python3.12/site-packages/pip-24.0.dist-info/entry_points.txt

@@ -0,0 +1,4 @@
+[console_scripts]
+pip = pip._internal.cli.main:main
+pip3 = pip._internal.cli.main:main
+pip3.12 = pip._internal.cli.main:main

venv/lib/python3.12/site-packages/pip-24.0.dist-info/top_level.txt

@@ -0,0 +1 @@
+pip

venv/lib/python3.12/site-packages/pydantic/_migration.py

@@ -0,0 +1,316 @@
+import sys
+from typing import Any, Callable
+
+from pydantic.warnings import PydanticDeprecatedSince20
+
+from .version import version_short
+
+MOVED_IN_V2 = {
+    'pydantic.utils:version_info': 'pydantic.version:version_info',
+    'pydantic.error_wrappers:ValidationError': 'pydantic:ValidationError',
+    'pydantic.utils:to_camel': 'pydantic.alias_generators:to_pascal',
+    'pydantic.utils:to_lower_camel': 'pydantic.alias_generators:to_camel',
+    'pydantic:PyObject': 'pydantic.types:ImportString',
+    'pydantic.types:PyObject': 'pydantic.types:ImportString',
+    'pydantic.generics:GenericModel': 'pydantic.BaseModel',
+}
+
+DEPRECATED_MOVED_IN_V2 = {
+    'pydantic.tools:schema_of': 'pydantic.deprecated.tools:schema_of',
+    'pydantic.tools:parse_obj_as': 'pydantic.deprecated.tools:parse_obj_as',
+    'pydantic.tools:schema_json_of': 'pydantic.deprecated.tools:schema_json_of',
+    'pydantic.json:pydantic_encoder': 'pydantic.deprecated.json:pydantic_encoder',
+    'pydantic:validate_arguments': 'pydantic.deprecated.decorator:validate_arguments',
+    'pydantic.json:custom_pydantic_encoder': 'pydantic.deprecated.json:custom_pydantic_encoder',
+    'pydantic.json:timedelta_isoformat': 'pydantic.deprecated.json:timedelta_isoformat',
+    'pydantic.decorator:validate_arguments': 'pydantic.deprecated.decorator:validate_arguments',
+    'pydantic.class_validators:validator': 'pydantic.deprecated.class_validators:validator',
+    'pydantic.class_validators:root_validator': 'pydantic.deprecated.class_validators:root_validator',
+    'pydantic.config:BaseConfig': 'pydantic.deprecated.config:BaseConfig',
+    'pydantic.config:Extra': 'pydantic.deprecated.config:Extra',
+}
+
+REDIRECT_TO_V1 = {
+    f'pydantic.utils:{obj}': f'pydantic.v1.utils:{obj}'
+    for obj in (
+        'deep_update',
+        'GetterDict',
+        'lenient_issubclass',
+        'lenient_isinstance',
+        'is_valid_field',
+        'update_not_none',
+        'import_string',
+        'Representation',
+        'ROOT_KEY',
+        'smart_deepcopy',
+        'sequence_like',
+    )
+}
+
+
+REMOVED_IN_V2 = {
+    'pydantic:ConstrainedBytes',
+    'pydantic:ConstrainedDate',
+    'pydantic:ConstrainedDecimal',
+    'pydantic:ConstrainedFloat',
+    'pydantic:ConstrainedFrozenSet',
+    'pydantic:ConstrainedInt',
+    'pydantic:ConstrainedList',
+    'pydantic:ConstrainedSet',
+    'pydantic:ConstrainedStr',
+    'pydantic:JsonWrapper',
+    'pydantic:NoneBytes',
+    'pydantic:NoneStr',
+    'pydantic:NoneStrBytes',
+    'pydantic:Protocol',
+    'pydantic:Required',
+    'pydantic:StrBytes',
+    'pydantic:compiled',
+    'pydantic.config:get_config',
+    'pydantic.config:inherit_config',
+    'pydantic.config:prepare_config',
+    'pydantic:create_model_from_namedtuple',
+    'pydantic:create_model_from_typeddict',
+    'pydantic.dataclasses:create_pydantic_model_from_dataclass',
+    'pydantic.dataclasses:make_dataclass_validator',
+    'pydantic.dataclasses:set_validation',
+    'pydantic.datetime_parse:parse_date',
+    'pydantic.datetime_parse:parse_time',
+    'pydantic.datetime_parse:parse_datetime',
+    'pydantic.datetime_parse:parse_duration',
+    'pydantic.error_wrappers:ErrorWrapper',
+    'pydantic.errors:AnyStrMaxLengthError',
+    'pydantic.errors:AnyStrMinLengthError',
+    'pydantic.errors:ArbitraryTypeError',
+    'pydantic.errors:BoolError',
+    'pydantic.errors:BytesError',
+    'pydantic.errors:CallableError',
+    'pydantic.errors:ClassError',
+    'pydantic.errors:ColorError',
+    'pydantic.errors:ConfigError',
+    'pydantic.errors:DataclassTypeError',
+    'pydantic.errors:DateError',
+    'pydantic.errors:DateNotInTheFutureError',
+    'pydantic.errors:DateNotInThePastError',
+    'pydantic.errors:DateTimeError',
+    'pydantic.errors:DecimalError',
+    'pydantic.errors:DecimalIsNotFiniteError',
+    'pydantic.errors:DecimalMaxDigitsError',
+    'pydantic.errors:DecimalMaxPlacesError',
+    'pydantic.errors:DecimalWholeDigitsError',
+    'pydantic.errors:DictError',
+    'pydantic.errors:DurationError',
+    'pydantic.errors:EmailError',
+    'pydantic.errors:EnumError',
+    'pydantic.errors:EnumMemberError',
+    'pydantic.errors:ExtraError',
+    'pydantic.errors:FloatError',
+    'pydantic.errors:FrozenSetError',
+    'pydantic.errors:FrozenSetMaxLengthError',
+    'pydantic.errors:FrozenSetMinLengthError',
+    'pydantic.errors:HashableError',
+    'pydantic.errors:IPv4AddressError',
+    'pydantic.errors:IPv4InterfaceError',
+    'pydantic.errors:IPv4NetworkError',
+    'pydantic.errors:IPv6AddressError',
+    'pydantic.errors:IPv6InterfaceError',
+    'pydantic.errors:IPv6NetworkError',
+    'pydantic.errors:IPvAnyAddressError',
+    'pydantic.errors:IPvAnyInterfaceError',
+    'pydantic.errors:IPvAnyNetworkError',
+    'pydantic.errors:IntEnumError',
+    'pydantic.errors:IntegerError',
+    'pydantic.errors:InvalidByteSize',
+    'pydantic.errors:InvalidByteSizeUnit',
+    'pydantic.errors:InvalidDiscriminator',
+    'pydantic.errors:InvalidLengthForBrand',
+    'pydantic.errors:JsonError',
+    'pydantic.errors:JsonTypeError',
+    'pydantic.errors:ListError',
+    'pydantic.errors:ListMaxLengthError',
+    'pydantic.errors:ListMinLengthError',
+    'pydantic.errors:ListUniqueItemsError',
+    'pydantic.errors:LuhnValidationError',
+    'pydantic.errors:MissingDiscriminator',
+    'pydantic.errors:MissingError',
+    'pydantic.errors:NoneIsAllowedError',
+    'pydantic.errors:NoneIsNotAllowedError',
+    'pydantic.errors:NotDigitError',
+    'pydantic.errors:NotNoneError',
+    'pydantic.errors:NumberNotGeError',
+    'pydantic.errors:NumberNotGtError',
+    'pydantic.errors:NumberNotLeError',
+    'pydantic.errors:NumberNotLtError',
+    'pydantic.errors:NumberNotMultipleError',
+    'pydantic.errors:PathError',
+    'pydantic.errors:PathNotADirectoryError',
+    'pydantic.errors:PathNotAFileError',
+    'pydantic.errors:PathNotExistsError',
+    'pydantic.errors:PatternError',
+    'pydantic.errors:PyObjectError',
+    'pydantic.errors:PydanticTypeError',
+    'pydantic.errors:PydanticValueError',
+    'pydantic.errors:SequenceError',
+    'pydantic.errors:SetError',
+    'pydantic.errors:SetMaxLengthError',
+    'pydantic.errors:SetMinLengthError',
+    'pydantic.errors:StrError',
+    'pydantic.errors:StrRegexError',
+    'pydantic.errors:StrictBoolError',
+    'pydantic.errors:SubclassError',
+    'pydantic.errors:TimeError',
+    'pydantic.errors:TupleError',
+    'pydantic.errors:TupleLengthError',
+    'pydantic.errors:UUIDError',
+    'pydantic.errors:UUIDVersionError',
+    'pydantic.errors:UrlError',
+    'pydantic.errors:UrlExtraError',
+    'pydantic.errors:UrlHostError',
+    'pydantic.errors:UrlHostTldError',
+    'pydantic.errors:UrlPortError',
+    'pydantic.errors:UrlSchemeError',
+    'pydantic.errors:UrlSchemePermittedError',
+    'pydantic.errors:UrlUserInfoError',
+    'pydantic.errors:WrongConstantError',
+    'pydantic.main:validate_model',
+    'pydantic.networks:stricturl',
+    'pydantic:parse_file_as',
+    'pydantic:parse_raw_as',
+    'pydantic:stricturl',
+    'pydantic.tools:parse_file_as',
+    'pydantic.tools:parse_raw_as',
+    'pydantic.types:ConstrainedBytes',
+    'pydantic.types:ConstrainedDate',
+    'pydantic.types:ConstrainedDecimal',
+    'pydantic.types:ConstrainedFloat',
+    'pydantic.types:ConstrainedFrozenSet',
+    'pydantic.types:ConstrainedInt',
+    'pydantic.types:ConstrainedList',
+    'pydantic.types:ConstrainedSet',
+    'pydantic.types:ConstrainedStr',
+    'pydantic.types:JsonWrapper',
+    'pydantic.types:NoneBytes',
+    'pydantic.types:NoneStr',
+    'pydantic.types:NoneStrBytes',
+    'pydantic.types:StrBytes',
+    'pydantic.typing:evaluate_forwardref',
+    'pydantic.typing:AbstractSetIntStr',
+    'pydantic.typing:AnyCallable',
+    'pydantic.typing:AnyClassMethod',
+    'pydantic.typing:CallableGenerator',
+    'pydantic.typing:DictAny',
+    'pydantic.typing:DictIntStrAny',
+    'pydantic.typing:DictStrAny',
+    'pydantic.typing:IntStr',
+    'pydantic.typing:ListStr',
+    'pydantic.typing:MappingIntStrAny',
+    'pydantic.typing:NoArgAnyCallable',
+    'pydantic.typing:NoneType',
+    'pydantic.typing:ReprArgs',
+    'pydantic.typing:SetStr',
+    'pydantic.typing:StrPath',
+    'pydantic.typing:TupleGenerator',
+    'pydantic.typing:WithArgsTypes',
+    'pydantic.typing:all_literal_values',
+    'pydantic.typing:display_as_type',
+    'pydantic.typing:get_all_type_hints',
+    'pydantic.typing:get_args',
+    'pydantic.typing:get_origin',
+    'pydantic.typing:get_sub_types',
+    'pydantic.typing:is_callable_type',
+    'pydantic.typing:is_classvar',
+    'pydantic.typing:is_finalvar',
+    'pydantic.typing:is_literal_type',
+    'pydantic.typing:is_namedtuple',
+    'pydantic.typing:is_new_type',
+    'pydantic.typing:is_none_type',
+    'pydantic.typing:is_typeddict',
+    'pydantic.typing:is_typeddict_special',
+    'pydantic.typing:is_union',
+    'pydantic.typing:new_type_supertype',
+    'pydantic.typing:resolve_annotations',
+    'pydantic.typing:typing_base',
+    'pydantic.typing:update_field_forward_refs',
+    'pydantic.typing:update_model_forward_refs',
+    'pydantic.utils:ClassAttribute',
+    'pydantic.utils:DUNDER_ATTRIBUTES',
+    'pydantic.utils:PyObjectStr',
+    'pydantic.utils:ValueItems',
+    'pydantic.utils:almost_equal_floats',
+    'pydantic.utils:get_discriminator_alias_and_values',
+    'pydantic.utils:get_model',
+    'pydantic.utils:get_unique_discriminator_alias',
+    'pydantic.utils:in_ipython',
+    'pydantic.utils:is_valid_identifier',
+    'pydantic.utils:path_type',
+    'pydantic.utils:validate_field_name',
+    'pydantic:validate_model',
+}
+
+
+def getattr_migration(module: str) -> Callable[[str], Any]:
+    """Implement PEP 562 for objects that were either moved or removed on the migration
+    to V2.
+
+    Args:
+        module: The module name.
+
+    Returns:
+        A callable that will raise an error if the object is not found.
+    """
+    # This avoids circular import with errors.py.
+    from .errors import PydanticImportError
+
+    def wrapper(name: str) -> object:
+        """Raise an error if the object is not found, or warn if it was moved.
+
+        In case it was moved, it still returns the object.
+
+        Args:
+            name: The object name.
+
+        Returns:
+            The object.
+        """
+        if name == '__path__':
+            raise AttributeError(f'module {module!r} has no attribute {name!r}')
+
+        import warnings
+
+        from ._internal._validators import import_string
+
+        import_path = f'{module}:{name}'
+        if import_path in MOVED_IN_V2.keys():
+            new_location = MOVED_IN_V2[import_path]
+            warnings.warn(
+                f'`{import_path}` has been moved to `{new_location}`.',
+                category=PydanticDeprecatedSince20,
+                stacklevel=2,
+            )
+            return import_string(MOVED_IN_V2[import_path])
+        if import_path in DEPRECATED_MOVED_IN_V2:
+            # skip the warning here because a deprecation warning will be raised elsewhere
+            return import_string(DEPRECATED_MOVED_IN_V2[import_path])
+        if import_path in REDIRECT_TO_V1:
+            new_location = REDIRECT_TO_V1[import_path]
+            warnings.warn(
+                f'`{import_path}` has been removed. We are importing from `{new_location}` instead.'
+                'See the migration guide for more details: https://docs.pydantic.dev/latest/migration/',
+                category=PydanticDeprecatedSince20,
+                stacklevel=2,
+            )
+            return import_string(REDIRECT_TO_V1[import_path])
+        if import_path == 'pydantic:BaseSettings':
+            raise PydanticImportError(
+                '`BaseSettings` has been moved to the `pydantic-settings` package. '
+                f'See https://docs.pydantic.dev/{version_short()}/migration/#basesettings-has-moved-to-pydantic-settings '
+                'for more details.'
+            )
+        if import_path in REMOVED_IN_V2:
+            raise PydanticImportError(f'`{import_path}` has been removed in V2.')
+        globals: dict[str, Any] = sys.modules[module].__dict__
+        if name in globals:
+            return globals[name]
+        raise AttributeError(f'module {module!r} has no attribute {name!r}')
+
+    return wrapper

venv/lib/python3.12/site-packages/pydantic/aliases.py

@@ -0,0 +1,135 @@
+"""Support for alias configurations."""
+
+from __future__ import annotations
+
+import dataclasses
+from typing import Any, Callable, Literal
+
+from pydantic_core import PydanticUndefined
+
+from ._internal import _internal_dataclass
+
+__all__ = ('AliasGenerator', 'AliasPath', 'AliasChoices')
+
+
+@dataclasses.dataclass(**_internal_dataclass.slots_true)
+class AliasPath:
+    """!!! abstract "Usage Documentation"
+        [`AliasPath` and `AliasChoices`](../concepts/alias.md#aliaspath-and-aliaschoices)
+
+    A data class used by `validation_alias` as a convenience to create aliases.
+
+    Attributes:
+        path: A list of string or integer aliases.
+    """
+
+    path: list[int | str]
+
+    def __init__(self, first_arg: str, *args: str | int) -> None:
+        self.path = [first_arg] + list(args)
+
+    def convert_to_aliases(self) -> list[str | int]:
+        """Converts arguments to a list of string or integer aliases.
+
+        Returns:
+            The list of aliases.
+        """
+        return self.path
+
+    def search_dict_for_path(self, d: dict) -> Any:
+        """Searches a dictionary for the path specified by the alias.
+
+        Returns:
+            The value at the specified path, or `PydanticUndefined` if the path is not found.
+        """
+        v = d
+        for k in self.path:
+            if isinstance(v, str):
+                # disallow indexing into a str, like for AliasPath('x', 0) and x='abc'
+                return PydanticUndefined
+            try:
+                v = v[k]
+            except (KeyError, IndexError, TypeError):
+                return PydanticUndefined
+        return v
+
+
+@dataclasses.dataclass(**_internal_dataclass.slots_true)
+class AliasChoices:
+    """!!! abstract "Usage Documentation"
+        [`AliasPath` and `AliasChoices`](../concepts/alias.md#aliaspath-and-aliaschoices)
+
+    A data class used by `validation_alias` as a convenience to create aliases.
+
+    Attributes:
+        choices: A list containing a string or `AliasPath`.
+    """
+
+    choices: list[str | AliasPath]
+
+    def __init__(self, first_choice: str | AliasPath, *choices: str | AliasPath) -> None:
+        self.choices = [first_choice] + list(choices)
+
+    def convert_to_aliases(self) -> list[list[str | int]]:
+        """Converts arguments to a list of lists containing string or integer aliases.
+
+        Returns:
+            The list of aliases.
+        """
+        aliases: list[list[str | int]] = []
+        for c in self.choices:
+            if isinstance(c, AliasPath):
+                aliases.append(c.convert_to_aliases())
+            else:
+                aliases.append([c])
+        return aliases
+
+
+@dataclasses.dataclass(**_internal_dataclass.slots_true)
+class AliasGenerator:
+    """!!! abstract "Usage Documentation"
+        [Using an `AliasGenerator`](../concepts/alias.md#using-an-aliasgenerator)
+
+    A data class used by `alias_generator` as a convenience to create various aliases.
+
+    Attributes:
+        alias: A callable that takes a field name and returns an alias for it.
+        validation_alias: A callable that takes a field name and returns a validation alias for it.
+        serialization_alias: A callable that takes a field name and returns a serialization alias for it.
+    """
+
+    alias: Callable[[str], str] | None = None
+    validation_alias: Callable[[str], str | AliasPath | AliasChoices] | None = None
+    serialization_alias: Callable[[str], str] | None = None
+
+    def _generate_alias(
+        self,
+        alias_kind: Literal['alias', 'validation_alias', 'serialization_alias'],
+        allowed_types: tuple[type[str] | type[AliasPath] | type[AliasChoices], ...],
+        field_name: str,
+    ) -> str | AliasPath | AliasChoices | None:
+        """Generate an alias of the specified kind. Returns None if the alias generator is None.
+
+        Raises:
+            TypeError: If the alias generator produces an invalid type.
+        """
+        alias = None
+        if alias_generator := getattr(self, alias_kind):
+            alias = alias_generator(field_name)
+            if alias and not isinstance(alias, allowed_types):
+                raise TypeError(
+                    f'Invalid `{alias_kind}` type. `{alias_kind}` generator must produce one of `{allowed_types}`'
+                )
+        return alias
+
+    def generate_aliases(self, field_name: str) -> tuple[str | None, str | AliasPath | AliasChoices | None, str | None]:
+        """Generate `alias`, `validation_alias`, and `serialization_alias` for a field.
+
+        Returns:
+            A tuple of three aliases - validation, alias, and serialization.
+        """
+        alias = self._generate_alias('alias', (str,), field_name)
+        validation_alias = self._generate_alias('validation_alias', (str, AliasChoices, AliasPath), field_name)
+        serialization_alias = self._generate_alias('serialization_alias', (str,), field_name)
+
+        return alias, validation_alias, serialization_alias  # type: ignore

venv/lib/python3.12/site-packages/pydantic/config.py

@@ -0,0 +1,1296 @@
+"""Configuration for Pydantic models."""
+
+from __future__ import annotations as _annotations
+
+import warnings
+from re import Pattern
+from typing import TYPE_CHECKING, Any, Callable, Literal, TypeVar, Union, cast, overload
+
+from typing_extensions import TypeAlias, TypedDict, Unpack, deprecated
+
+from ._migration import getattr_migration
+from .aliases import AliasGenerator
+from .errors import PydanticUserError
+from .warnings import PydanticDeprecatedSince211
+
+if TYPE_CHECKING:
+    from ._internal._generate_schema import GenerateSchema as _GenerateSchema
+    from .fields import ComputedFieldInfo, FieldInfo
+
+__all__ = ('ConfigDict', 'with_config')
+
+
+JsonValue: TypeAlias = Union[int, float, str, bool, None, list['JsonValue'], 'JsonDict']
+JsonDict: TypeAlias = dict[str, JsonValue]
+
+JsonEncoder = Callable[[Any], Any]
+
+JsonSchemaExtraCallable: TypeAlias = Union[
+    Callable[[JsonDict], None],
+    Callable[[JsonDict, type[Any]], None],
+]
+
+ExtraValues = Literal['allow', 'ignore', 'forbid']
+
+
+class ConfigDict(TypedDict, total=False):
+    """A TypedDict for configuring Pydantic behaviour."""
+
+    title: str | None
+    """The title for the generated JSON schema, defaults to the model's name"""
+
+    model_title_generator: Callable[[type], str] | None
+    """A callable that takes a model class and returns the title for it. Defaults to `None`."""
+
+    field_title_generator: Callable[[str, FieldInfo | ComputedFieldInfo], str] | None
+    """A callable that takes a field's name and info and returns title for it. Defaults to `None`."""
+
+    str_to_lower: bool
+    """Whether to convert all characters to lowercase for str types. Defaults to `False`."""
+
+    str_to_upper: bool
+    """Whether to convert all characters to uppercase for str types. Defaults to `False`."""
+
+    str_strip_whitespace: bool
+    """Whether to strip leading and trailing whitespace for str types."""
+
+    str_min_length: int
+    """The minimum length for str types. Defaults to `None`."""
+
+    str_max_length: int | None
+    """The maximum length for str types. Defaults to `None`."""
+
+    extra: ExtraValues | None
+    '''
+    Whether to ignore, allow, or forbid extra data during model initialization. Defaults to `'ignore'`.
+
+    Three configuration values are available:
+
+    - `'ignore'`: Providing extra data is ignored (the default):
+      ```python
+      from pydantic import BaseModel, ConfigDict
+
+      class User(BaseModel):
+          model_config = ConfigDict(extra='ignore')  # (1)!
+
+          name: str
+
+      user = User(name='John Doe', age=20)  # (2)!
+      print(user)
+      #> name='John Doe'
+      ```
+
+        1. This is the default behaviour.
+        2. The `age` argument is ignored.
+
+    - `'forbid'`: Providing extra data is not permitted, and a [`ValidationError`][pydantic_core.ValidationError]
+      will be raised if this is the case:
+      ```python
+      from pydantic import BaseModel, ConfigDict, ValidationError
+
+
+      class Model(BaseModel):
+          x: int
+
+          model_config = ConfigDict(extra='forbid')
+
+
+      try:
+          Model(x=1, y='a')
+      except ValidationError as exc:
+          print(exc)
+          """
+          1 validation error for Model
+          y
+            Extra inputs are not permitted [type=extra_forbidden, input_value='a', input_type=str]
+          """
+      ```
+
+    - `'allow'`: Providing extra data is allowed and stored in the `__pydantic_extra__` dictionary attribute:
+      ```python
+      from pydantic import BaseModel, ConfigDict
+
+
+      class Model(BaseModel):
+          x: int
+
+          model_config = ConfigDict(extra='allow')
+
+
+      m = Model(x=1, y='a')
+      assert m.__pydantic_extra__ == {'y': 'a'}
+      ```
+      By default, no validation will be applied to these extra items, but you can set a type for the values by overriding
+      the type annotation for `__pydantic_extra__`:
+      ```python
+      from pydantic import BaseModel, ConfigDict, Field, ValidationError
+
+
+      class Model(BaseModel):
+          __pydantic_extra__: dict[str, int] = Field(init=False)  # (1)!
+
+          x: int
+
+          model_config = ConfigDict(extra='allow')
+
+
+      try:
+          Model(x=1, y='a')
+      except ValidationError as exc:
+          print(exc)
+          """
+          1 validation error for Model
+          y
+            Input should be a valid integer, unable to parse string as an integer [type=int_parsing, input_value='a', input_type=str]
+          """
+
+      m = Model(x=1, y='2')
+      assert m.x == 1
+      assert m.y == 2
+      assert m.model_dump() == {'x': 1, 'y': 2}
+      assert m.__pydantic_extra__ == {'y': 2}
+      ```
+
+        1. The `= Field(init=False)` does not have any effect at runtime, but prevents the `__pydantic_extra__` field from
+           being included as a parameter to the model's `__init__` method by type checkers.
+
+    As well as specifying an `extra` configuration value on the model, you can also provide it as an argument to the validation methods.
+    This will override any `extra` configuration value set on the model:
+    ```python
+    from pydantic import BaseModel, ConfigDict, ValidationError
+
+    class Model(BaseModel):
+        x: int
+        model_config = ConfigDict(extra="allow")
+
+    try:
+        # Override model config and forbid extra fields just this time
+        Model.model_validate({"x": 1, "y": 2}, extra="forbid")
+    except ValidationError as exc:
+        print(exc)
+        """
+        1 validation error for Model
+        y
+          Extra inputs are not permitted [type=extra_forbidden, input_value=2, input_type=int]
+        """
+    ```
+    '''
+
+    frozen: bool
+    """
+    Whether models are faux-immutable, i.e. whether `__setattr__` is allowed, and also generates
+    a `__hash__()` method for the model. This makes instances of the model potentially hashable if all the
+    attributes are hashable. Defaults to `False`.
+
+    Note:
+        On V1, the inverse of this setting was called `allow_mutation`, and was `True` by default.
+    """
+
+    populate_by_name: bool
+    """
+    Whether an aliased field may be populated by its name as given by the model
+    attribute, as well as the alias. Defaults to `False`.
+
+    !!! warning
+        `populate_by_name` usage is not recommended in v2.11+ and will be deprecated in v3.
+        Instead, you should use the [`validate_by_name`][pydantic.config.ConfigDict.validate_by_name] configuration setting.
+
+        When `validate_by_name=True` and `validate_by_alias=True`, this is strictly equivalent to the
+        previous behavior of `populate_by_name=True`.
+
+        In v2.11, we also introduced a [`validate_by_alias`][pydantic.config.ConfigDict.validate_by_alias] setting that introduces more fine grained
+        control for validation behavior.
+
+        Here's how you might go about using the new settings to achieve the same behavior:
+
+        ```python
+        from pydantic import BaseModel, ConfigDict, Field
+
+        class Model(BaseModel):
+            model_config = ConfigDict(validate_by_name=True, validate_by_alias=True)
+
+            my_field: str = Field(alias='my_alias')  # (1)!
+
+        m = Model(my_alias='foo')  # (2)!
+        print(m)
+        #> my_field='foo'
+
+        m = Model(my_field='foo')  # (3)!
+        print(m)
+        #> my_field='foo'
+        ```
+
+        1. The field `'my_field'` has an alias `'my_alias'`.
+        2. The model is populated by the alias `'my_alias'`.
+        3. The model is populated by the attribute name `'my_field'`.
+    """
+
+    use_enum_values: bool
+    """
+    Whether to populate models with the `value` property of enums, rather than the raw enum.
+    This may be useful if you want to serialize `model.model_dump()` later. Defaults to `False`.
+
+    !!! note
+        If you have an `Optional[Enum]` value that you set a default for, you need to use `validate_default=True`
+        for said Field to ensure that the `use_enum_values` flag takes effect on the default, as extracting an
+        enum's value occurs during validation, not serialization.
+
+    ```python
+    from enum import Enum
+    from typing import Optional
+
+    from pydantic import BaseModel, ConfigDict, Field
+
+    class SomeEnum(Enum):
+        FOO = 'foo'
+        BAR = 'bar'
+        BAZ = 'baz'
+
+    class SomeModel(BaseModel):
+        model_config = ConfigDict(use_enum_values=True)
+
+        some_enum: SomeEnum
+        another_enum: Optional[SomeEnum] = Field(
+            default=SomeEnum.FOO, validate_default=True
+        )
+
+    model1 = SomeModel(some_enum=SomeEnum.BAR)
+    print(model1.model_dump())
+    #> {'some_enum': 'bar', 'another_enum': 'foo'}
+
+    model2 = SomeModel(some_enum=SomeEnum.BAR, another_enum=SomeEnum.BAZ)
+    print(model2.model_dump())
+    #> {'some_enum': 'bar', 'another_enum': 'baz'}
+    ```
+    """
+
+    validate_assignment: bool
+    """
+    Whether to validate the data when the model is changed. Defaults to `False`.
+
+    The default behavior of Pydantic is to validate the data when the model is created.
+
+    In case the user changes the data after the model is created, the model is _not_ revalidated.
+
+    ```python
+    from pydantic import BaseModel
+
+    class User(BaseModel):
+        name: str
+
+    user = User(name='John Doe')  # (1)!
+    print(user)
+    #> name='John Doe'
+    user.name = 123  # (1)!
+    print(user)
+    #> name=123
+    ```
+
+    1. The validation happens only when the model is created.
+    2. The validation does not happen when the data is changed.
+
+    In case you want to revalidate the model when the data is changed, you can use `validate_assignment=True`:
+
+    ```python
+    from pydantic import BaseModel, ValidationError
+
+    class User(BaseModel, validate_assignment=True):  # (1)!
+        name: str
+
+    user = User(name='John Doe')  # (2)!
+    print(user)
+    #> name='John Doe'
+    try:
+        user.name = 123  # (3)!
+    except ValidationError as e:
+        print(e)
+        '''
+        1 validation error for User
+        name
+          Input should be a valid string [type=string_type, input_value=123, input_type=int]
+        '''
+    ```
+
+    1. You can either use class keyword arguments, or `model_config` to set `validate_assignment=True`.
+    2. The validation happens when the model is created.
+    3. The validation _also_ happens when the data is changed.
+    """
+
+    arbitrary_types_allowed: bool
+    """
+    Whether arbitrary types are allowed for field types. Defaults to `False`.
+
+    ```python
+    from pydantic import BaseModel, ConfigDict, ValidationError
+
+    # This is not a pydantic model, it's an arbitrary class
+    class Pet:
+        def __init__(self, name: str):
+            self.name = name
+
+    class Model(BaseModel):
+        model_config = ConfigDict(arbitrary_types_allowed=True)
+
+        pet: Pet
+        owner: str
+
+    pet = Pet(name='Hedwig')
+    # A simple check of instance type is used to validate the data
+    model = Model(owner='Harry', pet=pet)
+    print(model)
+    #> pet=<__main__.Pet object at 0x0123456789ab> owner='Harry'
+    print(model.pet)
+    #> <__main__.Pet object at 0x0123456789ab>
+    print(model.pet.name)
+    #> Hedwig
+    print(type(model.pet))
+    #> <class '__main__.Pet'>
+    try:
+        # If the value is not an instance of the type, it's invalid
+        Model(owner='Harry', pet='Hedwig')
+    except ValidationError as e:
+        print(e)
+        '''
+        1 validation error for Model
+        pet
+          Input should be an instance of Pet [type=is_instance_of, input_value='Hedwig', input_type=str]
+        '''
+
+    # Nothing in the instance of the arbitrary type is checked
+    # Here name probably should have been a str, but it's not validated
+    pet2 = Pet(name=42)
+    model2 = Model(owner='Harry', pet=pet2)
+    print(model2)
+    #> pet=<__main__.Pet object at 0x0123456789ab> owner='Harry'
+    print(model2.pet)
+    #> <__main__.Pet object at 0x0123456789ab>
+    print(model2.pet.name)
+    #> 42
+    print(type(model2.pet))
+    #> <class '__main__.Pet'>
+    ```
+    """
+
+    from_attributes: bool
+    """
+    Whether to build models and look up discriminators of tagged unions using python object attributes.
+    """
+
+    loc_by_alias: bool
+    """Whether to use the actual key provided in the data (e.g. alias) for error `loc`s rather than the field's name. Defaults to `True`."""
+
+    alias_generator: Callable[[str], str] | AliasGenerator | None
+    """
+    A callable that takes a field name and returns an alias for it
+    or an instance of [`AliasGenerator`][pydantic.aliases.AliasGenerator]. Defaults to `None`.
+
+    When using a callable, the alias generator is used for both validation and serialization.
+    If you want to use different alias generators for validation and serialization, you can use
+    [`AliasGenerator`][pydantic.aliases.AliasGenerator] instead.
+
+    If data source field names do not match your code style (e.g. CamelCase fields),
+    you can automatically generate aliases using `alias_generator`. Here's an example with
+    a basic callable:
+
+    ```python
+    from pydantic import BaseModel, ConfigDict
+    from pydantic.alias_generators import to_pascal
+
+    class Voice(BaseModel):
+        model_config = ConfigDict(alias_generator=to_pascal)
+
+        name: str
+        language_code: str
+
+    voice = Voice(Name='Filiz', LanguageCode='tr-TR')
+    print(voice.language_code)
+    #> tr-TR
+    print(voice.model_dump(by_alias=True))
+    #> {'Name': 'Filiz', 'LanguageCode': 'tr-TR'}
+    ```
+
+    If you want to use different alias generators for validation and serialization, you can use
+    [`AliasGenerator`][pydantic.aliases.AliasGenerator].
+
+    ```python
+    from pydantic import AliasGenerator, BaseModel, ConfigDict
+    from pydantic.alias_generators import to_camel, to_pascal
+
+    class Athlete(BaseModel):
+        first_name: str
+        last_name: str
+        sport: str
+
+        model_config = ConfigDict(
+            alias_generator=AliasGenerator(
+                validation_alias=to_camel,
+                serialization_alias=to_pascal,
+            )
+        )
+
+    athlete = Athlete(firstName='John', lastName='Doe', sport='track')
+    print(athlete.model_dump(by_alias=True))
+    #> {'FirstName': 'John', 'LastName': 'Doe', 'Sport': 'track'}
+    ```
+
+    Note:
+        Pydantic offers three built-in alias generators: [`to_pascal`][pydantic.alias_generators.to_pascal],
+        [`to_camel`][pydantic.alias_generators.to_camel], and [`to_snake`][pydantic.alias_generators.to_snake].
+    """
+
+    ignored_types: tuple[type, ...]
+    """A tuple of types that may occur as values of class attributes without annotations. This is
+    typically used for custom descriptors (classes that behave like `property`). If an attribute is set on a
+    class without an annotation and has a type that is not in this tuple (or otherwise recognized by
+    _pydantic_), an error will be raised. Defaults to `()`.
+    """
+
+    allow_inf_nan: bool
+    """Whether to allow infinity (`+inf` an `-inf`) and NaN values to float and decimal fields. Defaults to `True`."""
+
+    json_schema_extra: JsonDict | JsonSchemaExtraCallable | None
+    """A dict or callable to provide extra JSON schema properties. Defaults to `None`."""
+
+    json_encoders: dict[type[object], JsonEncoder] | None
+    """
+    A `dict` of custom JSON encoders for specific types. Defaults to `None`.
+
+    /// version-deprecated | v2
+    This configuration option is a carryover from v1. We originally planned to remove it in v2 but didn't have a 1:1 replacement
+    so we are keeping it for now. It is still deprecated and will likely be removed in the future.
+    ///
+    """
+
+    # new in V2
+    strict: bool
+    """
+    Whether strict validation is applied to all fields on the model.
+
+    By default, Pydantic attempts to coerce values to the correct type, when possible.
+
+    There are situations in which you may want to disable this behavior, and instead raise an error if a value's type
+    does not match the field's type annotation.
+
+    To configure strict mode for all fields on a model, you can set `strict=True` on the model.
+
+    ```python
+    from pydantic import BaseModel, ConfigDict
+
+    class Model(BaseModel):
+        model_config = ConfigDict(strict=True)
+
+        name: str
+        age: int
+    ```
+
+    See [Strict Mode](../concepts/strict_mode.md) for more details.
+
+    See the [Conversion Table](../concepts/conversion_table.md) for more details on how Pydantic converts data in both
+    strict and lax modes.
+
+    /// version-added | v2
+    ///
+    """
+    # whether instances of models and dataclasses (including subclass instances) should re-validate, default 'never'
+    revalidate_instances: Literal['always', 'never', 'subclass-instances']
+    """
+    When and how to revalidate models and dataclasses during validation. Can be one of:
+
+    - `'never'`: will *not* revalidate models and dataclasses during validation
+    - `'always'`: will revalidate models and dataclasses during validation
+    - `'subclass-instances'`: will revalidate models and dataclasses during validation if the instance is a
+        subclass of the model or dataclass
+
+    The default is `'never'` (no revalidation).
+
+    This configuration only affects *the current model* it is applied on, and does *not* propagate to the models
+    referenced in fields.
+
+    ```python
+    from pydantic import BaseModel
+
+    class User(BaseModel, revalidate_instances='never'):  # (1)!
+        name: str
+
+    class Transaction(BaseModel):
+        user: User
+
+    my_user = User(name='John')
+    t = Transaction(user=my_user)
+
+    my_user.name = 1  # (2)!
+    t = Transaction(user=my_user)  # (3)!
+    print(t)
+    #> user=User(name=1)
+    ```
+
+    1. This is the default behavior.
+    2. The assignment is *not* validated, unless you set [`validate_assignment`][pydantic.ConfigDict.validate_assignment] in the configuration.
+    3. Since `revalidate_instances` is set to `'never'`, the user instance is not revalidated.
+
+    Here is an example demonstrating the behavior of `'subclass-instances'`:
+
+    ```python
+    from pydantic import BaseModel
+
+    class User(BaseModel, revalidate_instances='subclass-instances'):
+        name: str
+
+    class SubUser(User):
+        age: int
+
+    class Transaction(BaseModel):
+        user: User
+
+    my_user = User(name='John')
+    my_user.name = 1  # (1)!
+    t = Transaction(user=my_user)  # (2)!
+    print(t)
+    #> user=User(name=1)
+
+    my_sub_user = SubUser(name='John', age=20)
+    t = Transaction(user=my_sub_user)
+    print(t)  # (3)!
+    #> user=User(name='John')
+    ```
+
+    1. The assignment is *not* validated, unless you set [`validate_assignment`][pydantic.ConfigDict.validate_assignment] in the configuration.
+    2. Because `my_user` is a "direct" instance of `User`, it is *not* being revalidated. It would have been the case if
+      `revalidate_instances` was set to `'always'`.
+    3. Because `my_sub_user` is an instance of a `User` subclass, it is being revalidated. In this case, Pydantic coerces `my_sub_user` to the defined
+       `User` class defined on `Transaction`. If one of its fields had an invalid value, a validation error would have been raised.
+
+    /// version-added | v2
+    ///
+    """
+
+    ser_json_timedelta: Literal['iso8601', 'float']
+    """
+    The format of JSON serialized timedeltas. Accepts the string values of `'iso8601'` and
+    `'float'`. Defaults to `'iso8601'`.
+
+    - `'iso8601'` will serialize timedeltas to [ISO 8601 text format](https://en.wikipedia.org/wiki/ISO_8601#Durations).
+    - `'float'` will serialize timedeltas to the total number of seconds.
+
+    /// version-changed | v2.12
+    It is now recommended to use the [`ser_json_temporal`][pydantic.config.ConfigDict.ser_json_temporal]
+    setting. `ser_json_timedelta` will be deprecated in v3.
+    ///
+    """
+
+    ser_json_temporal: Literal['iso8601', 'seconds', 'milliseconds']
+    """
+    The format of JSON serialized temporal types from the [`datetime`][] module. This includes:
+
+    - [`datetime.datetime`][]
+    - [`datetime.date`][]
+    - [`datetime.time`][]
+    - [`datetime.timedelta`][]
+
+    Can be one of:
+
+    - `'iso8601'` will serialize date-like types to [ISO 8601 text format](https://en.wikipedia.org/wiki/ISO_8601#Durations).
+    - `'milliseconds'` will serialize date-like types to a floating point number of milliseconds since the epoch.
+    - `'seconds'` will serialize date-like types to a floating point number of seconds since the epoch.
+
+    Defaults to `'iso8601'`.
+
+    /// version-added | v2.12
+    This setting replaces [`ser_json_timedelta`][pydantic.config.ConfigDict.ser_json_timedelta],
+    which will be deprecated in v3. `ser_json_temporal` adds more configurability for the other temporal types.
+    ///
+    """
+
+    val_temporal_unit: Literal['seconds', 'milliseconds', 'infer']
+    """
+    The unit to assume for validating numeric input for datetime-like types ([`datetime.datetime`][] and [`datetime.date`][]). Can be one of:
+
+    - `'seconds'` will validate date or time numeric inputs as seconds since the [epoch].
+    - `'milliseconds'` will validate date or time numeric inputs as milliseconds since the [epoch].
+    - `'infer'` will infer the unit from the string numeric input on unix time as:
+
+        * seconds since the [epoch] if $-2^{10} <= v <= 2^{10}$
+        * milliseconds since the [epoch] (if $v < -2^{10}$ or $v > 2^{10}$).
+
+    Defaults to `'infer'`.
+
+    /// version-added | v2.12
+    ///
+
+    [epoch]: https://en.wikipedia.org/wiki/Unix_time
+    """
+
+    ser_json_bytes: Literal['utf8', 'base64', 'hex']
+    """
+    The encoding of JSON serialized bytes. Defaults to `'utf8'`.
+    Set equal to `val_json_bytes` to get back an equal value after serialization round trip.
+
+    - `'utf8'` will serialize bytes to UTF-8 strings.
+    - `'base64'` will serialize bytes to URL safe base64 strings.
+    - `'hex'` will serialize bytes to hexadecimal strings.
+    """
+
+    val_json_bytes: Literal['utf8', 'base64', 'hex']
+    """
+    /// version-added | v2.9
+    ///
+
+    The encoding of JSON serialized bytes to decode. Defaults to `'utf8'`.
+    Set equal to `ser_json_bytes` to get back an equal value after serialization round trip.
+
+    - `'utf8'` will deserialize UTF-8 strings to bytes.
+    - `'base64'` will deserialize URL safe base64 strings to bytes.
+    - `'hex'` will deserialize hexadecimal strings to bytes.
+    """
+
+    ser_json_inf_nan: Literal['null', 'constants', 'strings']
+    """
+    The encoding of JSON serialized infinity and NaN float values. Defaults to `'null'`.
+
+    - `'null'` will serialize infinity and NaN values as `null`.
+    - `'constants'` will serialize infinity and NaN values as `Infinity` and `NaN`.
+    - `'strings'` will serialize infinity as string `"Infinity"` and NaN as string `"NaN"`.
+    """
+
+    # whether to validate default values during validation, default False
+    validate_default: bool
+    """Whether to validate default values during validation. Defaults to `False`."""
+
+    validate_return: bool
+    """Whether to validate the return value from call validators. Defaults to `False`."""
+
+    protected_namespaces: tuple[str | Pattern[str], ...]
+    """
+    A tuple of strings and/or regex patterns that prevent models from having fields with names that conflict with its existing members/methods.
+
+    Strings are matched on a prefix basis. For instance, with `'dog'`, having a field named `'dog_name'` will be disallowed.
+
+    Regex patterns are matched on the entire field name. For instance, with the pattern `'^dog$'`, having a field named `'dog'` will be disallowed,
+    but `'dog_name'` will be accepted.
+
+    Defaults to `('model_validate', 'model_dump')`. This default is used to prevent collisions with the existing (and possibly future)
+    [validation](../concepts/models.md#validating-data) and [serialization](../concepts/serialization.md#serializing-data) methods.
+
+    ```python
+    import warnings
+
+    from pydantic import BaseModel
+
+    warnings.filterwarnings('error')  # Raise warnings as errors
+
+    try:
+
+        class Model(BaseModel):
+            model_dump_something: str
+
+    except UserWarning as e:
+        print(e)
+        '''
+        Field 'model_dump_something' in 'Model' conflicts with protected namespace 'model_dump'.
+
+        You may be able to solve this by setting the 'protected_namespaces' configuration to ('model_validate',).
+        '''
+    ```
+
+    You can customize this behavior using the `protected_namespaces` setting:
+
+    ```python {test="skip"}
+    import re
+    import warnings
+
+    from pydantic import BaseModel, ConfigDict
+
+    with warnings.catch_warnings(record=True) as caught_warnings:
+        warnings.simplefilter('always')  # Catch all warnings
+
+        class Model(BaseModel):
+            safe_field: str
+            also_protect_field: str
+            protect_this: str
+
+            model_config = ConfigDict(
+                protected_namespaces=(
+                    'protect_me_',
+                    'also_protect_',
+                    re.compile('^protect_this$'),
+                )
+            )
+
+    for warning in caught_warnings:
+        print(f'{warning.message}')
+        '''
+        Field 'also_protect_field' in 'Model' conflicts with protected namespace 'also_protect_'.
+        You may be able to solve this by setting the 'protected_namespaces' configuration to ('protect_me_', re.compile('^protect_this$'))`.
+
+        Field 'protect_this' in 'Model' conflicts with protected namespace 're.compile('^protect_this$')'.
+        You may be able to solve this by setting the 'protected_namespaces' configuration to ('protect_me_', 'also_protect_')`.
+        '''
+    ```
+
+    While Pydantic will only emit a warning when an item is in a protected namespace but does not actually have a collision,
+    an error _is_ raised if there is an actual collision with an existing attribute:
+
+    ```python
+    from pydantic import BaseModel, ConfigDict
+
+    try:
+
+        class Model(BaseModel):
+            model_validate: str
+
+            model_config = ConfigDict(protected_namespaces=('model_',))
+
+    except ValueError as e:
+        print(e)
+        '''
+        Field 'model_validate' conflicts with member <bound method BaseModel.model_validate of <class 'pydantic.main.BaseModel'>> of protected namespace 'model_'.
+        '''
+    ```
+
+    /// version-changed | v2.10
+    The default protected namespaces was changed from `('model_',)` to `('model_validate', 'model_dump')`, to allow
+    for fields like `model_id`, `model_name` to be used.
+    ///
+    """
+
+    hide_input_in_errors: bool
+    """
+    Whether to hide inputs when printing errors. Defaults to `False`.
+
+    Pydantic shows the input value and type when it raises `ValidationError` during the validation.
+
+    ```python
+    from pydantic import BaseModel, ValidationError
+
+    class Model(BaseModel):
+        a: str
+
+    try:
+        Model(a=123)
+    except ValidationError as e:
+        print(e)
+        '''
+        1 validation error for Model
+        a
+          Input should be a valid string [type=string_type, input_value=123, input_type=int]
+        '''
+    ```
+
+    You can hide the input value and type by setting the `hide_input_in_errors` config to `True`.
+
+    ```python
+    from pydantic import BaseModel, ConfigDict, ValidationError
+
+    class Model(BaseModel):
+        a: str
+        model_config = ConfigDict(hide_input_in_errors=True)
+
+    try:
+        Model(a=123)
+    except ValidationError as e:
+        print(e)
+        '''
+        1 validation error for Model
+        a
+          Input should be a valid string [type=string_type]
+        '''
+    ```
+    """
+
+    defer_build: bool
+    """
+    Whether to defer model validator and serializer construction until the first model validation. Defaults to False.
+
+    This can be useful to avoid the overhead of building models which are only
+    used nested within other models, or when you want to manually define type namespace via
+    [`Model.model_rebuild(_types_namespace=...)`][pydantic.BaseModel.model_rebuild].
+
+    /// version-changed | v2.10
+    The setting also applies to [Pydantic dataclasses](../concepts/dataclasses.md) and [type adapters](../concepts/type_adapter.md).
+    ///
+    """
+
+    plugin_settings: dict[str, object] | None
+    """A `dict` of settings for plugins. Defaults to `None`."""
+
+    schema_generator: type[_GenerateSchema] | None
+    """
+    The `GenerateSchema` class to use during core schema generation.
+
+    /// version-deprecated | v2.10
+    The `GenerateSchema` class is private and highly subject to change.
+    ///
+    """
+
+    json_schema_serialization_defaults_required: bool
+    """
+    Whether fields with default values should be marked as required in the serialization schema. Defaults to `False`.
+
+    This ensures that the serialization schema will reflect the fact a field with a default will always be present
+    when serializing the model, even though it is not required for validation.
+
+    However, there are scenarios where this may be undesirable — in particular, if you want to share the schema
+    between validation and serialization, and don't mind fields with defaults being marked as not required during
+    serialization. See [#7209](https://github.com/pydantic/pydantic/issues/7209) for more details.
+
+    ```python
+    from pydantic import BaseModel, ConfigDict
+
+    class Model(BaseModel):
+        a: str = 'a'
+
+        model_config = ConfigDict(json_schema_serialization_defaults_required=True)
+
+    print(Model.model_json_schema(mode='validation'))
+    '''
+    {
+        'properties': {'a': {'default': 'a', 'title': 'A', 'type': 'string'}},
+        'title': 'Model',
+        'type': 'object',
+    }
+    '''
+    print(Model.model_json_schema(mode='serialization'))
+    '''
+    {
+        'properties': {'a': {'default': 'a', 'title': 'A', 'type': 'string'}},
+        'required': ['a'],
+        'title': 'Model',
+        'type': 'object',
+    }
+    '''
+    ```
+
+    /// version-added | v2.4
+    ///
+    """
+
+    json_schema_mode_override: Literal['validation', 'serialization', None]
+    """
+    If not `None`, the specified mode will be used to generate the JSON schema regardless of what `mode` was passed to
+    the function call. Defaults to `None`.
+
+    This provides a way to force the JSON schema generation to reflect a specific mode, e.g., to always use the
+    validation schema.
+
+    It can be useful when using frameworks (such as FastAPI) that may generate different schemas for validation
+    and serialization that must both be referenced from the same schema; when this happens, we automatically append
+    `-Input` to the definition reference for the validation schema and `-Output` to the definition reference for the
+    serialization schema. By specifying a `json_schema_mode_override` though, this prevents the conflict between
+    the validation and serialization schemas (since both will use the specified schema), and so prevents the suffixes
+    from being added to the definition references.
+
+    ```python
+    from pydantic import BaseModel, ConfigDict, Json
+
+    class Model(BaseModel):
+        a: Json[int]  # requires a string to validate, but will dump an int
+
+    print(Model.model_json_schema(mode='serialization'))
+    '''
+    {
+        'properties': {'a': {'title': 'A', 'type': 'integer'}},
+        'required': ['a'],
+        'title': 'Model',
+        'type': 'object',
+    }
+    '''
+
+    class ForceInputModel(Model):
+        # the following ensures that even with mode='serialization', we
+        # will get the schema that would be generated for validation.
+        model_config = ConfigDict(json_schema_mode_override='validation')
+
+    print(ForceInputModel.model_json_schema(mode='serialization'))
+    '''
+    {
+        'properties': {
+            'a': {
+                'contentMediaType': 'application/json',
+                'contentSchema': {'type': 'integer'},
+                'title': 'A',
+                'type': 'string',
+            }
+        },
+        'required': ['a'],
+        'title': 'ForceInputModel',
+        'type': 'object',
+    }
+    '''
+    ```
+
+    /// version-added | v2.4
+    ///
+    """
+
+    coerce_numbers_to_str: bool
+    """
+    If `True`, enables automatic coercion of any `Number` type to `str` in "lax" (non-strict) mode. Defaults to `False`.
+
+    Pydantic doesn't allow number types (`int`, `float`, `Decimal`) to be coerced as type `str` by default.
+
+    ```python
+    from decimal import Decimal
+
+    from pydantic import BaseModel, ConfigDict, ValidationError
+
+    class Model(BaseModel):
+        value: str
+
+    try:
+        print(Model(value=42))
+    except ValidationError as e:
+        print(e)
+        '''
+        1 validation error for Model
+        value
+          Input should be a valid string [type=string_type, input_value=42, input_type=int]
+        '''
+
+    class Model(BaseModel):
+        model_config = ConfigDict(coerce_numbers_to_str=True)
+
+        value: str
+
+    repr(Model(value=42).value)
+    #> "42"
+    repr(Model(value=42.13).value)
+    #> "42.13"
+    repr(Model(value=Decimal('42.13')).value)
+    #> "42.13"
+    ```
+    """
+
+    regex_engine: Literal['rust-regex', 'python-re']
+    """
+    The regex engine to be used for pattern validation.
+    Defaults to `'rust-regex'`.
+
+    - `'rust-regex'` uses the [`regex`](https://docs.rs/regex) Rust crate,
+      which is non-backtracking and therefore more DDoS resistant, but does not support all regex features.
+    - `'python-re'` use the [`re`][] module, which supports all regex features, but may be slower.
+
+    !!! note
+        If you use a compiled regex pattern, the `'python-re'` engine will be used regardless of this setting.
+        This is so that flags such as [`re.IGNORECASE`][] are respected.
+
+    ```python
+    from pydantic import BaseModel, ConfigDict, Field, ValidationError
+
+    class Model(BaseModel):
+        model_config = ConfigDict(regex_engine='python-re')
+
+        value: str = Field(pattern=r'^abc(?=def)')
+
+    print(Model(value='abcdef').value)
+    #> abcdef
+
+    try:
+        print(Model(value='abxyzcdef'))
+    except ValidationError as e:
+        print(e)
+        '''
+        1 validation error for Model
+        value
+          String should match pattern '^abc(?=def)' [type=string_pattern_mismatch, input_value='abxyzcdef', input_type=str]
+        '''
+    ```
+
+    /// version-added | v2.5
+    ///
+    """
+
+    validation_error_cause: bool
+    """
+    If `True`, Python exceptions that were part of a validation failure will be shown as an exception group as a cause. Can be useful for debugging. Defaults to `False`.
+
+    Note:
+        Python 3.10 and older don't support exception groups natively. <=3.10, backport must be installed: `pip install exceptiongroup`.
+
+    Note:
+        The structure of validation errors are likely to change in future Pydantic versions. Pydantic offers no guarantees about their structure. Should be used for visual traceback debugging only.
+
+    /// version-added | v2.5
+    ///
+    """
+
+    use_attribute_docstrings: bool
+    '''
+    Whether docstrings of attributes (bare string literals immediately following the attribute declaration)
+    should be used for field descriptions. Defaults to `False`.
+
+    ```python
+    from pydantic import BaseModel, ConfigDict, Field
+
+
+    class Model(BaseModel):
+        model_config = ConfigDict(use_attribute_docstrings=True)
+
+        x: str
+        """
+        Example of an attribute docstring
+        """
+
+        y: int = Field(description="Description in Field")
+        """
+        Description in Field overrides attribute docstring
+        """
+
+
+    print(Model.model_fields["x"].description)
+    # > Example of an attribute docstring
+    print(Model.model_fields["y"].description)
+    # > Description in Field
+    ```
+    This requires the source code of the class to be available at runtime (and so won't work in the interactive interpreter shell).
+
+    !!! warning "Usage with `TypedDict` and stdlib dataclasses"
+        Due to current limitations, attribute docstrings detection may not work as expected when using
+        [`TypedDict`][typing.TypedDict] and stdlib dataclasses, in particular when:
+
+        - inheritance is being used.
+        - multiple classes have the same name in the same source file (unless Python 3.13 or greater is used).
+
+    /// version-added | v2.7
+    ///
+    '''
+
+    cache_strings: bool | Literal['all', 'keys', 'none']
+    """
+    Whether to cache strings to avoid constructing new Python objects. Defaults to True.
+
+    Enabling this setting should significantly improve validation performance while increasing memory usage slightly.
+
+    - `True` or `'all'` (the default): cache all strings
+    - `'keys'`: cache only dictionary keys
+    - `False` or `'none'`: no caching
+
+    !!! note
+        `True` or `'all'` is required to cache strings during general validation because
+        validators don't know if they're in a key or a value.
+
+    !!! tip
+        If repeated strings are rare, it's recommended to use `'keys'` or `'none'` to reduce memory usage,
+        as the performance difference is minimal if repeated strings are rare.
+
+    /// version-added | v2.7
+    ///
+    """
+
+    validate_by_alias: bool
+    """
+    Whether an aliased field may be populated by its alias. Defaults to `True`.
+
+    Here's an example of disabling validation by alias:
+
+    ```py
+    from pydantic import BaseModel, ConfigDict, Field
+
+    class Model(BaseModel):
+        model_config = ConfigDict(validate_by_name=True, validate_by_alias=False)
+
+        my_field: str = Field(validation_alias='my_alias')  # (1)!
+
+    m = Model(my_field='foo')  # (2)!
+    print(m)
+    #> my_field='foo'
+    ```
+
+    1. The field `'my_field'` has an alias `'my_alias'`.
+    2. The model can only be populated by the attribute name `'my_field'`.
+
+    !!! warning
+        You cannot set both `validate_by_alias` and `validate_by_name` to `False`.
+        This would make it impossible to populate an attribute.
+
+        See [usage errors](../errors/usage_errors.md#validate-by-alias-and-name-false) for an example.
+
+        If you set `validate_by_alias` to `False`, under the hood, Pydantic dynamically sets
+        `validate_by_name` to `True` to ensure that validation can still occur.
+
+    /// version-added | v2.11
+    This setting was introduced in conjunction with [`validate_by_name`][pydantic.ConfigDict.validate_by_name]
+    to empower users with more fine grained validation control.
+    ///
+    """
+
+    validate_by_name: bool
+    """
+    Whether an aliased field may be populated by its name as given by the model
+    attribute. Defaults to `False`.
+
+    ```python
+    from pydantic import BaseModel, ConfigDict, Field
+
+    class Model(BaseModel):
+        model_config = ConfigDict(validate_by_name=True, validate_by_alias=True)
+
+        my_field: str = Field(validation_alias='my_alias')  # (1)!
+
+    m = Model(my_alias='foo')  # (2)!
+    print(m)
+    #> my_field='foo'
+
+    m = Model(my_field='foo')  # (3)!
+    print(m)
+    #> my_field='foo'
+    ```
+
+    1. The field `'my_field'` has an alias `'my_alias'`.
+    2. The model is populated by the alias `'my_alias'`.
+    3. The model is populated by the attribute name `'my_field'`.
+
+    !!! warning
+        You cannot set both `validate_by_alias` and `validate_by_name` to `False`.
+        This would make it impossible to populate an attribute.
+
+        See [usage errors](../errors/usage_errors.md#validate-by-alias-and-name-false) for an example.
+
+    /// version-added | v2.11
+    This setting was introduced in conjunction with [`validate_by_alias`][pydantic.ConfigDict.validate_by_alias]
+    to empower users with more fine grained validation control. It is an alternative to [`populate_by_name`][pydantic.ConfigDict.populate_by_name],
+    that enables validation by name **and** by alias.
+    ///
+    """
+
+    serialize_by_alias: bool
+    """
+    Whether an aliased field should be serialized by its alias. Defaults to `False`.
+
+    Note: In v2.11, `serialize_by_alias` was introduced to address the
+    [popular request](https://github.com/pydantic/pydantic/issues/8379)
+    for consistency with alias behavior for validation and serialization settings.
+    In v3, the default value is expected to change to `True` for consistency with the validation default.
+
+    ```python
+    from pydantic import BaseModel, ConfigDict, Field
+
+    class Model(BaseModel):
+        model_config = ConfigDict(serialize_by_alias=True)
+
+        my_field: str = Field(serialization_alias='my_alias')  # (1)!
+
+    m = Model(my_field='foo')
+    print(m.model_dump())  # (2)!
+    #> {'my_alias': 'foo'}
+    ```
+
+    1. The field `'my_field'` has an alias `'my_alias'`.
+    2. The model is serialized using the alias `'my_alias'` for the `'my_field'` attribute.
+
+
+    /// version-added | v2.11
+    This setting was introduced to address the [popular request](https://github.com/pydantic/pydantic/issues/8379)
+    for consistency with alias behavior for validation and serialization.
+
+    In v3, the default value is expected to change to `True` for consistency with the validation default.
+    ///
+    """
+
+    url_preserve_empty_path: bool
+    """
+    Whether to preserve empty URL paths when validating values for a URL type. Defaults to `False`.
+
+    ```python
+    from pydantic import AnyUrl, BaseModel, ConfigDict
+
+    class Model(BaseModel):
+        model_config = ConfigDict(url_preserve_empty_path=True)
+
+        url: AnyUrl
+
+    m = Model(url='http://example.com')
+    print(m.url)
+    #> http://example.com
+    ```
+
+    /// version-added | v2.12
+    ///
+    """
+
+    polymorphic_serialization: bool
+    """
+    Whether to use polymorphic serialization for subclasses of the model or Pydantic dataclass. Defaults to `False`.
+    """
+
+
+_TypeT = TypeVar('_TypeT', bound=type)
+
+
+@overload
+@deprecated('Passing `config` as a keyword argument is deprecated. Pass `config` as a positional argument instead.')
+def with_config(*, config: ConfigDict) -> Callable[[_TypeT], _TypeT]: ...
+
+
+@overload
+def with_config(config: ConfigDict, /) -> Callable[[_TypeT], _TypeT]: ...
+
+
+@overload
+def with_config(**config: Unpack[ConfigDict]) -> Callable[[_TypeT], _TypeT]: ...
+
+
+def with_config(config: ConfigDict | None = None, /, **kwargs: Any) -> Callable[[_TypeT], _TypeT]:
+    """!!! abstract "Usage Documentation"
+        [Configuration with other types](../concepts/config.md#configuration-on-other-supported-types)
+
+    A convenience decorator to set a [Pydantic configuration](config.md) on a `TypedDict` or a `dataclass` from the standard library.
+
+    Although the configuration can be set using the `__pydantic_config__` attribute, it does not play well with type checkers,
+    especially with `TypedDict`.
+
+    !!! example "Usage"
+
+        ```python
+        from typing_extensions import TypedDict
+
+        from pydantic import ConfigDict, TypeAdapter, with_config
+
+        @with_config(ConfigDict(str_to_lower=True))
+        class TD(TypedDict):
+            x: str
+
+        ta = TypeAdapter(TD)
+
+        print(ta.validate_python({'x': 'ABC'}))
+        #> {'x': 'abc'}
+        ```
+
+    /// deprecated-removed | v2.11 v3
+    Passing `config` as a keyword argument.
+    ///
+
+    /// version-changed | v2.11
+    Keyword arguments can be provided directly instead of a config dictionary.
+    ///
+    """
+    if config is not None and kwargs:
+        raise ValueError('Cannot specify both `config` and keyword arguments')
+
+    if len(kwargs) == 1 and (kwargs_conf := kwargs.get('config')) is not None:
+        warnings.warn(
+            'Passing `config` as a keyword argument is deprecated. Pass `config` as a positional argument instead',
+            category=PydanticDeprecatedSince211,
+            stacklevel=2,
+        )
+        final_config = cast(ConfigDict, kwargs_conf)
+    else:
+        final_config = config if config is not None else cast(ConfigDict, kwargs)
+
+    def inner(class_: _TypeT, /) -> _TypeT:
+        # Ideally, we would check for `class_` to either be a `TypedDict` or a stdlib dataclass.
+        # However, the `@with_config` decorator can be applied *after* `@dataclass`. To avoid
+        # common mistakes, we at least check for `class_` to not be a Pydantic model.
+        from ._internal._utils import is_model_class
+
+        if is_model_class(class_):
+            raise PydanticUserError(
+                f'Cannot use `with_config` on {class_.__name__} as it is a Pydantic model',
+                code='with-config-on-model',
+            )
+        class_.__pydantic_config__ = final_config
+        return class_
+
+    return inner
+
+
+__getattr__ = getattr_migration(__name__)