Merging PR_218 openai_rev package with new streamlit chat app

venv/lib/python3.9/site-packages/attr/validators.py

@@ -0,0 +1,720 @@
+# SPDX-License-Identifier: MIT
+
+"""
+Commonly useful validators.
+"""
+
+
+import operator
+import re
+
+from contextlib import contextmanager
+from re import Pattern
+
+from ._config import get_run_validators, set_run_validators
+from ._make import _AndValidator, and_, attrib, attrs
+from .converters import default_if_none
+from .exceptions import NotCallableError
+
+
+__all__ = [
+    "and_",
+    "deep_iterable",
+    "deep_mapping",
+    "disabled",
+    "ge",
+    "get_disabled",
+    "gt",
+    "in_",
+    "instance_of",
+    "is_callable",
+    "le",
+    "lt",
+    "matches_re",
+    "max_len",
+    "min_len",
+    "not_",
+    "optional",
+    "provides",
+    "set_disabled",
+]
+
+
+def set_disabled(disabled):
+    """
+    Globally disable or enable running validators.
+
+    By default, they are run.
+
+    :param disabled: If ``True``, disable running all validators.
+    :type disabled: bool
+
+    .. warning::
+
+        This function is not thread-safe!
+
+    .. versionadded:: 21.3.0
+    """
+    set_run_validators(not disabled)
+
+
+def get_disabled():
+    """
+    Return a bool indicating whether validators are currently disabled or not.
+
+    :return: ``True`` if validators are currently disabled.
+    :rtype: bool
+
+    .. versionadded:: 21.3.0
+    """
+    return not get_run_validators()
+
+
+@contextmanager
+def disabled():
+    """
+    Context manager that disables running validators within its context.
+
+    .. warning::
+
+        This context manager is not thread-safe!
+
+    .. versionadded:: 21.3.0
+    """
+    set_run_validators(False)
+    try:
+        yield
+    finally:
+        set_run_validators(True)
+
+
+@attrs(repr=False, slots=True, hash=True)
+class _InstanceOfValidator:
+    type = attrib()
+
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if not isinstance(value, self.type):
+            raise TypeError(
+                "'{name}' must be {type!r} (got {value!r} that is a "
+                "{actual!r}).".format(
+                    name=attr.name,
+                    type=self.type,
+                    actual=value.__class__,
+                    value=value,
+                ),
+                attr,
+                self.type,
+                value,
+            )
+
+    def __repr__(self):
+        return "<instance_of validator for type {type!r}>".format(
+            type=self.type
+        )
+
+
+def instance_of(type):
+    """
+    A validator that raises a `TypeError` if the initializer is called
+    with a wrong type for this particular attribute (checks are performed using
+    `isinstance` therefore it's also valid to pass a tuple of types).
+
+    :param type: The type to check for.
+    :type type: type or tuple of type
+
+    :raises TypeError: With a human readable error message, the attribute
+        (of type `attrs.Attribute`), the expected type, and the value it
+        got.
+    """
+    return _InstanceOfValidator(type)
+
+
+@attrs(repr=False, frozen=True, slots=True)
+class _MatchesReValidator:
+    pattern = attrib()
+    match_func = attrib()
+
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if not self.match_func(value):
+            raise ValueError(
+                "'{name}' must match regex {pattern!r}"
+                " ({value!r} doesn't)".format(
+                    name=attr.name, pattern=self.pattern.pattern, value=value
+                ),
+                attr,
+                self.pattern,
+                value,
+            )
+
+    def __repr__(self):
+        return "<matches_re validator for pattern {pattern!r}>".format(
+            pattern=self.pattern
+        )
+
+
+def matches_re(regex, flags=0, func=None):
+    r"""
+    A validator that raises `ValueError` if the initializer is called
+    with a string that doesn't match *regex*.
+
+    :param regex: a regex string or precompiled pattern to match against
+    :param int flags: flags that will be passed to the underlying re function
+        (default 0)
+    :param callable func: which underlying `re` function to call. Valid options
+        are `re.fullmatch`, `re.search`, and `re.match`; the default ``None``
+        means `re.fullmatch`. For performance reasons, the pattern is always
+        precompiled using `re.compile`.
+
+    .. versionadded:: 19.2.0
+    .. versionchanged:: 21.3.0 *regex* can be a pre-compiled pattern.
+    """
+    valid_funcs = (re.fullmatch, None, re.search, re.match)
+    if func not in valid_funcs:
+        raise ValueError(
+            "'func' must be one of {}.".format(
+                ", ".join(
+                    sorted(
+                        e and e.__name__ or "None" for e in set(valid_funcs)
+                    )
+                )
+            )
+        )
+
+    if isinstance(regex, Pattern):
+        if flags:
+            raise TypeError(
+                "'flags' can only be used with a string pattern; "
+                "pass flags to re.compile() instead"
+            )
+        pattern = regex
+    else:
+        pattern = re.compile(regex, flags)
+
+    if func is re.match:
+        match_func = pattern.match
+    elif func is re.search:
+        match_func = pattern.search
+    else:
+        match_func = pattern.fullmatch
+
+    return _MatchesReValidator(pattern, match_func)
+
+
+@attrs(repr=False, slots=True, hash=True)
+class _ProvidesValidator:
+    interface = attrib()
+
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if not self.interface.providedBy(value):
+            raise TypeError(
+                "'{name}' must provide {interface!r} which {value!r} "
+                "doesn't.".format(
+                    name=attr.name, interface=self.interface, value=value
+                ),
+                attr,
+                self.interface,
+                value,
+            )
+
+    def __repr__(self):
+        return "<provides validator for interface {interface!r}>".format(
+            interface=self.interface
+        )
+
+
+def provides(interface):
+    """
+    A validator that raises a `TypeError` if the initializer is called
+    with an object that does not provide the requested *interface* (checks are
+    performed using ``interface.providedBy(value)`` (see `zope.interface
+    <https://zopeinterface.readthedocs.io/en/latest/>`_).
+
+    :param interface: The interface to check for.
+    :type interface: ``zope.interface.Interface``
+
+    :raises TypeError: With a human readable error message, the attribute
+        (of type `attrs.Attribute`), the expected interface, and the
+        value it got.
+
+    .. deprecated:: 23.1.0
+    """
+    import warnings
+
+    warnings.warn(
+        "attrs's zope-interface support is deprecated and will be removed in, "
+        "or after, April 2024.",
+        DeprecationWarning,
+        stacklevel=2,
+    )
+    return _ProvidesValidator(interface)
+
+
+@attrs(repr=False, slots=True, hash=True)
+class _OptionalValidator:
+    validator = attrib()
+
+    def __call__(self, inst, attr, value):
+        if value is None:
+            return
+
+        self.validator(inst, attr, value)
+
+    def __repr__(self):
+        return "<optional validator for {what} or None>".format(
+            what=repr(self.validator)
+        )
+
+
+def optional(validator):
+    """
+    A validator that makes an attribute optional.  An optional attribute is one
+    which can be set to ``None`` in addition to satisfying the requirements of
+    the sub-validator.
+
+    :param Callable | tuple[Callable] | list[Callable] validator: A validator
+        (or validators) that is used for non-``None`` values.
+
+    .. versionadded:: 15.1.0
+    .. versionchanged:: 17.1.0 *validator* can be a list of validators.
+    .. versionchanged:: 23.1.0 *validator* can also be a tuple of validators.
+    """
+    if isinstance(validator, (list, tuple)):
+        return _OptionalValidator(_AndValidator(validator))
+
+    return _OptionalValidator(validator)
+
+
+@attrs(repr=False, slots=True, hash=True)
+class _InValidator:
+    options = attrib()
+
+    def __call__(self, inst, attr, value):
+        try:
+            in_options = value in self.options
+        except TypeError:  # e.g. `1 in "abc"`
+            in_options = False
+
+        if not in_options:
+            raise ValueError(
+                "'{name}' must be in {options!r} (got {value!r})".format(
+                    name=attr.name, options=self.options, value=value
+                ),
+                attr,
+                self.options,
+                value,
+            )
+
+    def __repr__(self):
+        return "<in_ validator with options {options!r}>".format(
+            options=self.options
+        )
+
+
+def in_(options):
+    """
+    A validator that raises a `ValueError` if the initializer is called
+    with a value that does not belong in the options provided.  The check is
+    performed using ``value in options``.
+
+    :param options: Allowed options.
+    :type options: list, tuple, `enum.Enum`, ...
+
+    :raises ValueError: With a human readable error message, the attribute (of
+       type `attrs.Attribute`), the expected options, and the value it
+       got.
+
+    .. versionadded:: 17.1.0
+    .. versionchanged:: 22.1.0
+       The ValueError was incomplete until now and only contained the human
+       readable error message. Now it contains all the information that has
+       been promised since 17.1.0.
+    """
+    return _InValidator(options)
+
+
+@attrs(repr=False, slots=False, hash=True)
+class _IsCallableValidator:
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if not callable(value):
+            message = (
+                "'{name}' must be callable "
+                "(got {value!r} that is a {actual!r})."
+            )
+            raise NotCallableError(
+                msg=message.format(
+                    name=attr.name, value=value, actual=value.__class__
+                ),
+                value=value,
+            )
+
+    def __repr__(self):
+        return "<is_callable validator>"
+
+
+def is_callable():
+    """
+    A validator that raises a `attrs.exceptions.NotCallableError` if the
+    initializer is called with a value for this particular attribute
+    that is not callable.
+
+    .. versionadded:: 19.1.0
+
+    :raises attrs.exceptions.NotCallableError: With a human readable error
+        message containing the attribute (`attrs.Attribute`) name,
+        and the value it got.
+    """
+    return _IsCallableValidator()
+
+
+@attrs(repr=False, slots=True, hash=True)
+class _DeepIterable:
+    member_validator = attrib(validator=is_callable())
+    iterable_validator = attrib(
+        default=None, validator=optional(is_callable())
+    )
+
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if self.iterable_validator is not None:
+            self.iterable_validator(inst, attr, value)
+
+        for member in value:
+            self.member_validator(inst, attr, member)
+
+    def __repr__(self):
+        iterable_identifier = (
+            ""
+            if self.iterable_validator is None
+            else f" {self.iterable_validator!r}"
+        )
+        return (
+            "<deep_iterable validator for{iterable_identifier}"
+            " iterables of {member!r}>"
+        ).format(
+            iterable_identifier=iterable_identifier,
+            member=self.member_validator,
+        )
+
+
+def deep_iterable(member_validator, iterable_validator=None):
+    """
+    A validator that performs deep validation of an iterable.
+
+    :param member_validator: Validator(s) to apply to iterable members
+    :param iterable_validator: Validator to apply to iterable itself
+        (optional)
+
+    .. versionadded:: 19.1.0
+
+    :raises TypeError: if any sub-validators fail
+    """
+    if isinstance(member_validator, (list, tuple)):
+        member_validator = and_(*member_validator)
+    return _DeepIterable(member_validator, iterable_validator)
+
+
+@attrs(repr=False, slots=True, hash=True)
+class _DeepMapping:
+    key_validator = attrib(validator=is_callable())
+    value_validator = attrib(validator=is_callable())
+    mapping_validator = attrib(default=None, validator=optional(is_callable()))
+
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if self.mapping_validator is not None:
+            self.mapping_validator(inst, attr, value)
+
+        for key in value:
+            self.key_validator(inst, attr, key)
+            self.value_validator(inst, attr, value[key])
+
+    def __repr__(self):
+        return (
+            "<deep_mapping validator for objects mapping {key!r} to {value!r}>"
+        ).format(key=self.key_validator, value=self.value_validator)
+
+
+def deep_mapping(key_validator, value_validator, mapping_validator=None):
+    """
+    A validator that performs deep validation of a dictionary.
+
+    :param key_validator: Validator to apply to dictionary keys
+    :param value_validator: Validator to apply to dictionary values
+    :param mapping_validator: Validator to apply to top-level mapping
+        attribute (optional)
+
+    .. versionadded:: 19.1.0
+
+    :raises TypeError: if any sub-validators fail
+    """
+    return _DeepMapping(key_validator, value_validator, mapping_validator)
+
+
+@attrs(repr=False, frozen=True, slots=True)
+class _NumberValidator:
+    bound = attrib()
+    compare_op = attrib()
+    compare_func = attrib()
+
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if not self.compare_func(value, self.bound):
+            raise ValueError(
+                "'{name}' must be {op} {bound}: {value}".format(
+                    name=attr.name,
+                    op=self.compare_op,
+                    bound=self.bound,
+                    value=value,
+                )
+            )
+
+    def __repr__(self):
+        return "<Validator for x {op} {bound}>".format(
+            op=self.compare_op, bound=self.bound
+        )
+
+
+def lt(val):
+    """
+    A validator that raises `ValueError` if the initializer is called
+    with a number larger or equal to *val*.
+
+    :param val: Exclusive upper bound for values
+
+    .. versionadded:: 21.3.0
+    """
+    return _NumberValidator(val, "<", operator.lt)
+
+
+def le(val):
+    """
+    A validator that raises `ValueError` if the initializer is called
+    with a number greater than *val*.
+
+    :param val: Inclusive upper bound for values
+
+    .. versionadded:: 21.3.0
+    """
+    return _NumberValidator(val, "<=", operator.le)
+
+
+def ge(val):
+    """
+    A validator that raises `ValueError` if the initializer is called
+    with a number smaller than *val*.
+
+    :param val: Inclusive lower bound for values
+
+    .. versionadded:: 21.3.0
+    """
+    return _NumberValidator(val, ">=", operator.ge)
+
+
+def gt(val):
+    """
+    A validator that raises `ValueError` if the initializer is called
+    with a number smaller or equal to *val*.
+
+    :param val: Exclusive lower bound for values
+
+    .. versionadded:: 21.3.0
+    """
+    return _NumberValidator(val, ">", operator.gt)
+
+
+@attrs(repr=False, frozen=True, slots=True)
+class _MaxLengthValidator:
+    max_length = attrib()
+
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if len(value) > self.max_length:
+            raise ValueError(
+                "Length of '{name}' must be <= {max}: {len}".format(
+                    name=attr.name, max=self.max_length, len=len(value)
+                )
+            )
+
+    def __repr__(self):
+        return f"<max_len validator for {self.max_length}>"
+
+
+def max_len(length):
+    """
+    A validator that raises `ValueError` if the initializer is called
+    with a string or iterable that is longer than *length*.
+
+    :param int length: Maximum length of the string or iterable
+
+    .. versionadded:: 21.3.0
+    """
+    return _MaxLengthValidator(length)
+
+
+@attrs(repr=False, frozen=True, slots=True)
+class _MinLengthValidator:
+    min_length = attrib()
+
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if len(value) < self.min_length:
+            raise ValueError(
+                "Length of '{name}' must be => {min}: {len}".format(
+                    name=attr.name, min=self.min_length, len=len(value)
+                )
+            )
+
+    def __repr__(self):
+        return f"<min_len validator for {self.min_length}>"
+
+
+def min_len(length):
+    """
+    A validator that raises `ValueError` if the initializer is called
+    with a string or iterable that is shorter than *length*.
+
+    :param int length: Minimum length of the string or iterable
+
+    .. versionadded:: 22.1.0
+    """
+    return _MinLengthValidator(length)
+
+
+@attrs(repr=False, slots=True, hash=True)
+class _SubclassOfValidator:
+    type = attrib()
+
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if not issubclass(value, self.type):
+            raise TypeError(
+                "'{name}' must be a subclass of {type!r} "
+                "(got {value!r}).".format(
+                    name=attr.name,
+                    type=self.type,
+                    value=value,
+                ),
+                attr,
+                self.type,
+                value,
+            )
+
+    def __repr__(self):
+        return "<subclass_of validator for type {type!r}>".format(
+            type=self.type
+        )
+
+
+def _subclass_of(type):
+    """
+    A validator that raises a `TypeError` if the initializer is called
+    with a wrong type for this particular attribute (checks are performed using
+    `issubclass` therefore it's also valid to pass a tuple of types).
+
+    :param type: The type to check for.
+    :type type: type or tuple of types
+
+    :raises TypeError: With a human readable error message, the attribute
+        (of type `attrs.Attribute`), the expected type, and the value it
+        got.
+    """
+    return _SubclassOfValidator(type)
+
+
+@attrs(repr=False, slots=True, hash=True)
+class _NotValidator:
+    validator = attrib()
+    msg = attrib(
+        converter=default_if_none(
+            "not_ validator child '{validator!r}' "
+            "did not raise a captured error"
+        )
+    )
+    exc_types = attrib(
+        validator=deep_iterable(
+            member_validator=_subclass_of(Exception),
+            iterable_validator=instance_of(tuple),
+        ),
+    )
+
+    def __call__(self, inst, attr, value):
+        try:
+            self.validator(inst, attr, value)
+        except self.exc_types:
+            pass  # suppress error to invert validity
+        else:
+            raise ValueError(
+                self.msg.format(
+                    validator=self.validator,
+                    exc_types=self.exc_types,
+                ),
+                attr,
+                self.validator,
+                value,
+                self.exc_types,
+            )
+
+    def __repr__(self):
+        return (
+            "<not_ validator wrapping {what!r}, " "capturing {exc_types!r}>"
+        ).format(
+            what=self.validator,
+            exc_types=self.exc_types,
+        )
+
+
+def not_(validator, *, msg=None, exc_types=(ValueError, TypeError)):
+    """
+    A validator that wraps and logically 'inverts' the validator passed to it.
+    It will raise a `ValueError` if the provided validator *doesn't* raise a
+    `ValueError` or `TypeError` (by default), and will suppress the exception
+    if the provided validator *does*.
+
+    Intended to be used with existing validators to compose logic without
+    needing to create inverted variants, for example, ``not_(in_(...))``.
+
+    :param validator: A validator to be logically inverted.
+    :param msg: Message to raise if validator fails.
+        Formatted with keys ``exc_types`` and ``validator``.
+    :type msg: str
+    :param exc_types: Exception type(s) to capture.
+        Other types raised by child validators will not be intercepted and
+        pass through.
+
+    :raises ValueError: With a human readable error message,
+        the attribute (of type `attrs.Attribute`),
+        the validator that failed to raise an exception,
+        the value it got,
+        and the expected exception types.
+
+    .. versionadded:: 22.2.0
+    """
+    try:
+        exc_types = tuple(exc_types)
+    except TypeError:
+        exc_types = (exc_types,)
+    return _NotValidator(validator, msg, exc_types)