second commit

env/lib/python3.11/site-packages/dataclasses_json/__init__.py

@@ -0,0 +1,12 @@
+# flake8: noqa
+from dataclasses_json.api import (DataClassJsonMixin,
+                                  dataclass_json)
+from dataclasses_json.cfg import (config, global_config,
+                                  Exclude, LetterCase)
+from dataclasses_json.undefined import CatchAll, Undefined
+
+from dataclasses_json.__version__ import __version__
+
+__all__ = ['DataClassJsonMixin', 'LetterCase', 'dataclass_json',
+           'config', 'global_config', 'Exclude',
+           'CatchAll', 'Undefined']

env/lib/python3.11/site-packages/dataclasses_json/__version__.py

@@ -0,0 +1,6 @@
+"""
+ Version file.
+ Allows common version lookup via from dataclasses_json import __version__
+"""
+
+__version__ = "0.6.7"  # replaced by git tag on deploy

env/lib/python3.11/site-packages/dataclasses_json/api.py

@@ -0,0 +1,153 @@
+import abc
+import json
+from typing import Any, Callable, Dict, List, Optional, Tuple, Type, TypeVar, Union, overload
+
+from dataclasses_json.cfg import config, LetterCase
+from dataclasses_json.core import (Json, _ExtendedEncoder, _asdict,
+                                   _decode_dataclass)
+from dataclasses_json.mm import (JsonData, SchemaType, build_schema)
+from dataclasses_json.undefined import Undefined
+from dataclasses_json.utils import (_handle_undefined_parameters_safe,
+                                    _undefined_parameter_action_safe)
+
+A = TypeVar('A', bound="DataClassJsonMixin")
+T = TypeVar('T')
+Fields = List[Tuple[str, Any]]
+
+
+class DataClassJsonMixin(abc.ABC):
+    """
+    DataClassJsonMixin is an ABC that functions as a Mixin.
+
+    As with other ABCs, it should not be instantiated directly.
+    """
+    dataclass_json_config: Optional[dict] = None
+
+    def to_json(self,
+                *,
+                skipkeys: bool = False,
+                ensure_ascii: bool = True,
+                check_circular: bool = True,
+                allow_nan: bool = True,
+                indent: Optional[Union[int, str]] = None,
+                separators: Optional[Tuple[str, str]] = None,
+                default: Optional[Callable] = None,
+                sort_keys: bool = False,
+                **kw) -> str:
+        return json.dumps(self.to_dict(encode_json=False),
+                          cls=_ExtendedEncoder,
+                          skipkeys=skipkeys,
+                          ensure_ascii=ensure_ascii,
+                          check_circular=check_circular,
+                          allow_nan=allow_nan,
+                          indent=indent,
+                          separators=separators,
+                          default=default,
+                          sort_keys=sort_keys,
+                          **kw)
+
+    @classmethod
+    def from_json(cls: Type[A],
+                  s: JsonData,
+                  *,
+                  parse_float=None,
+                  parse_int=None,
+                  parse_constant=None,
+                  infer_missing=False,
+                  **kw) -> A:
+        kvs = json.loads(s,
+                         parse_float=parse_float,
+                         parse_int=parse_int,
+                         parse_constant=parse_constant,
+                         **kw)
+        return cls.from_dict(kvs, infer_missing=infer_missing)
+
+    @classmethod
+    def from_dict(cls: Type[A],
+                  kvs: Json,
+                  *,
+                  infer_missing=False) -> A:
+        return _decode_dataclass(cls, kvs, infer_missing)
+
+    def to_dict(self, encode_json=False) -> Dict[str, Json]:
+        return _asdict(self, encode_json=encode_json)
+
+    @classmethod
+    def schema(cls: Type[A],
+               *,
+               infer_missing: bool = False,
+               only=None,
+               exclude=(),
+               many: bool = False,
+               context=None,
+               load_only=(),
+               dump_only=(),
+               partial: bool = False,
+               unknown=None) -> "SchemaType[A]":
+        Schema = build_schema(cls, DataClassJsonMixin, infer_missing, partial)
+
+        if unknown is None:
+            undefined_parameter_action = _undefined_parameter_action_safe(cls)
+            if undefined_parameter_action is not None:
+                # We can just make use of the same-named mm keywords
+                unknown = undefined_parameter_action.name.lower()
+
+        return Schema(only=only,
+                      exclude=exclude,
+                      many=many,
+                      context=context,
+                      load_only=load_only,
+                      dump_only=dump_only,
+                      partial=partial,
+                      unknown=unknown)
+
+
+@overload
+def dataclass_json(_cls: None = ..., *, letter_case: Optional[LetterCase] = ...,
+                   undefined: Optional[Union[str, Undefined]] = ...) -> Callable[[Type[T]], Type[T]]: ...
+
+
+@overload
+def dataclass_json(_cls: Type[T], *, letter_case: Optional[LetterCase] = ...,
+                   undefined: Optional[Union[str, Undefined]] = ...) -> Type[T]: ...
+
+
+def dataclass_json(_cls: Optional[Type[T]] = None, *, letter_case: Optional[LetterCase] = None,
+                   undefined: Optional[Union[str, Undefined]] = None) -> Union[Callable[[Type[T]], Type[T]], Type[T]]:
+    """
+    Based on the code in the `dataclasses` module to handle optional-parens
+    decorators. See example below:
+
+    @dataclass_json
+    @dataclass_json(letter_case=LetterCase.CAMEL)
+    class Example:
+        ...
+    """
+
+    def wrap(cls: Type[T]) -> Type[T]:
+        return _process_class(cls, letter_case, undefined)
+
+    if _cls is None:
+        return wrap
+    return wrap(_cls)
+
+
+def _process_class(cls: Type[T], letter_case: Optional[LetterCase],
+                   undefined: Optional[Union[str, Undefined]]) -> Type[T]:
+    if letter_case is not None or undefined is not None:
+        cls.dataclass_json_config = config(letter_case=letter_case,  # type: ignore[attr-defined]
+                                           undefined=undefined)['dataclasses_json']
+
+    cls.to_json = DataClassJsonMixin.to_json  # type: ignore[attr-defined]
+    # unwrap and rewrap classmethod to tag it to cls rather than the literal
+    # DataClassJsonMixin ABC
+    cls.from_json = classmethod(DataClassJsonMixin.from_json.__func__)  # type: ignore[attr-defined]
+    cls.to_dict = DataClassJsonMixin.to_dict  # type: ignore[attr-defined]
+    cls.from_dict = classmethod(DataClassJsonMixin.from_dict.__func__)  # type: ignore[attr-defined]
+    cls.schema = classmethod(DataClassJsonMixin.schema.__func__)  # type: ignore[attr-defined]
+
+    cls.__init__ = _handle_undefined_parameters_safe(cls, kvs=(),  # type: ignore[attr-defined,method-assign]
+                                                     usage="init")
+    # register cls as a virtual subclass of DataClassJsonMixin
+    DataClassJsonMixin.register(cls)
+    return cls

env/lib/python3.11/site-packages/dataclasses_json/cfg.py

@@ -0,0 +1,110 @@
+import functools
+from enum import Enum
+from typing import Callable, Dict, Optional, TypeVar, Union
+
+from marshmallow.fields import Field as MarshmallowField  # type: ignore
+
+from dataclasses_json.stringcase import (camelcase, pascalcase, snakecase,
+                                         spinalcase)  # type: ignore
+from dataclasses_json.undefined import Undefined, UndefinedParameterError
+
+T = TypeVar("T")
+
+
+class Exclude:
+    """
+    Pre-defined constants for exclusion. By default, fields are configured to
+    be included.
+    """
+    ALWAYS: Callable[[object], bool] = lambda _: True
+    NEVER: Callable[[object], bool] = lambda _: False
+
+
+# TODO: add warnings?
+class _GlobalConfig:
+
+    def __init__(self):
+        self.encoders: Dict[Union[type, Optional[type]], Callable] = {}
+        self.decoders: Dict[Union[type, Optional[type]], Callable] = {}
+        self.mm_fields: Dict[
+            Union[type, Optional[type]],
+            MarshmallowField
+        ] = {}
+        # self._json_module = json
+
+    # TODO: #180
+    # @property
+    # def json_module(self):
+    #     return self._json_module
+    #
+    # @json_module.setter
+    # def json_module(self, value):
+    #     warnings.warn(f"Now using {value.__name__} module to handle JSON. "
+    #                   f"{self._disable_msg}")
+    #     self._json_module = value
+
+
+global_config = _GlobalConfig()
+
+
+class LetterCase(Enum):
+    CAMEL = camelcase
+    KEBAB = spinalcase
+    SNAKE = snakecase
+    PASCAL = pascalcase
+
+
+def config(metadata: Optional[dict] = None, *,
+           # TODO: these can be typed more precisely
+           # Specifically, a Callable[A, B], where `B` is bound as a JSON type
+           encoder: Optional[Callable] = None,
+           decoder: Optional[Callable] = None,
+           mm_field: Optional[MarshmallowField] = None,
+           letter_case: Union[Callable[[str], str], LetterCase, None] = None,
+           undefined: Optional[Union[str, Undefined]] = None,
+           field_name: Optional[str] = None,
+           exclude: Optional[Callable[[T], bool]] = None,
+           ) -> Dict[str, dict]:
+    if metadata is None:
+        metadata = {}
+
+    lib_metadata = metadata.setdefault('dataclasses_json', {})
+
+    if encoder is not None:
+        lib_metadata['encoder'] = encoder
+
+    if decoder is not None:
+        lib_metadata['decoder'] = decoder
+
+    if mm_field is not None:
+        lib_metadata['mm_field'] = mm_field
+
+    if field_name is not None:
+        if letter_case is not None:
+            @functools.wraps(letter_case)  # type:ignore
+            def override(_, _letter_case=letter_case, _field_name=field_name):
+                return _letter_case(_field_name)
+        else:
+            def override(_, _field_name=field_name):  # type:ignore
+                return _field_name
+        letter_case = override
+
+    if letter_case is not None:
+        lib_metadata['letter_case'] = letter_case
+
+    if undefined is not None:
+        # Get the corresponding action for undefined parameters
+        if isinstance(undefined, str):
+            if not hasattr(Undefined, undefined.upper()):
+                valid_actions = list(action.name for action in Undefined)
+                raise UndefinedParameterError(
+                    f"Invalid undefined parameter action, "
+                    f"must be one of {valid_actions}")
+            undefined = Undefined[undefined.upper()]
+
+        lib_metadata['undefined'] = undefined
+
+    if exclude is not None:
+        lib_metadata['exclude'] = exclude
+
+    return metadata

env/lib/python3.11/site-packages/dataclasses_json/core.py

@@ -0,0 +1,475 @@
+import copy
+import json
+import sys
+import warnings
+from collections import defaultdict, namedtuple
+from collections.abc import (Collection as ABCCollection, Mapping as ABCMapping, MutableMapping, MutableSequence,
+                             MutableSet, Sequence, Set)
+from dataclasses import (MISSING,
+                         fields,
+                         is_dataclass  # type: ignore
+                         )
+from datetime import datetime, timezone
+from decimal import Decimal
+from enum import Enum
+from types import MappingProxyType
+from typing import (Any, Collection, Mapping, Union, get_type_hints,
+                    Tuple, TypeVar, Type)
+from uuid import UUID
+
+from typing_inspect import is_union_type  # type: ignore
+
+from dataclasses_json import cfg
+from dataclasses_json.utils import (_get_type_cons, _get_type_origin,
+                                    _handle_undefined_parameters_safe,
+                                    _is_collection, _is_mapping, _is_new_type,
+                                    _is_optional, _isinstance_safe,
+                                    _get_type_arg_param,
+                                    _get_type_args, _is_counter,
+                                    _NO_ARGS,
+                                    _issubclass_safe, _is_tuple,
+                                    _is_generic_dataclass)
+
+Json = Union[dict, list, str, int, float, bool, None]
+
+confs = ['encoder', 'decoder', 'mm_field', 'letter_case', 'exclude']
+FieldOverride = namedtuple('FieldOverride', confs)  # type: ignore
+collections_abc_type_to_implementation_type = MappingProxyType({
+    ABCCollection: tuple,
+    ABCMapping: dict,
+    MutableMapping: dict,
+    MutableSequence: list,
+    MutableSet: set,
+    Sequence: tuple,
+    Set: frozenset,
+})
+
+
+class _ExtendedEncoder(json.JSONEncoder):
+    def default(self, o) -> Json:
+        result: Json
+        if _isinstance_safe(o, Collection):
+            if _isinstance_safe(o, Mapping):
+                result = dict(o)
+            else:
+                result = list(o)
+        elif _isinstance_safe(o, datetime):
+            result = o.timestamp()
+        elif _isinstance_safe(o, UUID):
+            result = str(o)
+        elif _isinstance_safe(o, Enum):
+            result = o.value
+        elif _isinstance_safe(o, Decimal):
+            result = str(o)
+        else:
+            result = json.JSONEncoder.default(self, o)
+        return result
+
+
+def _user_overrides_or_exts(cls):
+    global_metadata = defaultdict(dict)
+    encoders = cfg.global_config.encoders
+    decoders = cfg.global_config.decoders
+    mm_fields = cfg.global_config.mm_fields
+    for field in fields(cls):
+        if field.type in encoders:
+            global_metadata[field.name]['encoder'] = encoders[field.type]
+        if field.type in decoders:
+            global_metadata[field.name]['decoder'] = decoders[field.type]
+        if field.type in mm_fields:
+            global_metadata[field.name]['mm_field'] = mm_fields[field.type]
+    try:
+        cls_config = (cls.dataclass_json_config
+                      if cls.dataclass_json_config is not None else {})
+    except AttributeError:
+        cls_config = {}
+
+    overrides = {}
+    for field in fields(cls):
+        field_config = {}
+        # first apply global overrides or extensions
+        field_metadata = global_metadata[field.name]
+        if 'encoder' in field_metadata:
+            field_config['encoder'] = field_metadata['encoder']
+        if 'decoder' in field_metadata:
+            field_config['decoder'] = field_metadata['decoder']
+        if 'mm_field' in field_metadata:
+            field_config['mm_field'] = field_metadata['mm_field']
+        # then apply class-level overrides or extensions
+        field_config.update(cls_config)
+        # last apply field-level overrides or extensions
+        field_config.update(field.metadata.get('dataclasses_json', {}))
+        overrides[field.name] = FieldOverride(*map(field_config.get, confs))
+    return overrides
+
+
+def _encode_json_type(value, default=_ExtendedEncoder().default):
+    if isinstance(value, Json.__args__):  # type: ignore
+        if isinstance(value, list):
+            return [_encode_json_type(i) for i in value]
+        elif isinstance(value, dict):
+            return {k: _encode_json_type(v) for k, v in value.items()}
+        else:
+            return value
+    return default(value)
+
+
+def _encode_overrides(kvs, overrides, encode_json=False):
+    override_kvs = {}
+    for k, v in kvs.items():
+        if k in overrides:
+            exclude = overrides[k].exclude
+            # If the exclude predicate returns true, the key should be
+            #  excluded from encoding, so skip the rest of the loop
+            if exclude and exclude(v):
+                continue
+            letter_case = overrides[k].letter_case
+            original_key = k
+            k = letter_case(k) if letter_case is not None else k
+            if k in override_kvs:
+                raise ValueError(
+                    f"Multiple fields map to the same JSON "
+                    f"key after letter case encoding: {k}"
+                )
+
+            encoder = overrides[original_key].encoder
+            v = encoder(v) if encoder is not None else v
+
+        if encode_json:
+            v = _encode_json_type(v)
+        override_kvs[k] = v
+    return override_kvs
+
+
+def _decode_letter_case_overrides(field_names, overrides):
+    """Override letter case of field names for encode/decode"""
+    names = {}
+    for field_name in field_names:
+        field_override = overrides.get(field_name)
+        if field_override is not None:
+            letter_case = field_override.letter_case
+            if letter_case is not None:
+                names[letter_case(field_name)] = field_name
+    return names
+
+
+def _decode_dataclass(cls, kvs, infer_missing):
+    if _isinstance_safe(kvs, cls):
+        return kvs
+    overrides = _user_overrides_or_exts(cls)
+    kvs = {} if kvs is None and infer_missing else kvs
+    field_names = [field.name for field in fields(cls)]
+    decode_names = _decode_letter_case_overrides(field_names, overrides)
+    kvs = {decode_names.get(k, k): v for k, v in kvs.items()}
+    missing_fields = {field for field in fields(cls) if field.name not in kvs}
+
+    for field in missing_fields:
+        if field.default is not MISSING:
+            kvs[field.name] = field.default
+        elif field.default_factory is not MISSING:
+            kvs[field.name] = field.default_factory()
+        elif infer_missing:
+            kvs[field.name] = None
+
+    # Perform undefined parameter action
+    kvs = _handle_undefined_parameters_safe(cls, kvs, usage="from")
+
+    init_kwargs = {}
+    types = get_type_hints(cls)
+    for field in fields(cls):
+        # The field should be skipped from being added
+        # to init_kwargs as it's not intended as a constructor argument.
+        if not field.init:
+            continue
+
+        field_value = kvs[field.name]
+        field_type = types[field.name]
+        if field_value is None:
+            if not _is_optional(field_type):
+                warning = (
+                    f"value of non-optional type {field.name} detected "
+                    f"when decoding {cls.__name__}"
+                )
+                if infer_missing:
+                    warnings.warn(
+                        f"Missing {warning} and was defaulted to None by "
+                        f"infer_missing=True. "
+                        f"Set infer_missing=False (the default) to prevent "
+                        f"this behavior.", RuntimeWarning
+                    )
+                else:
+                    warnings.warn(
+                        f"'NoneType' object {warning}.", RuntimeWarning
+                    )
+            init_kwargs[field.name] = field_value
+            continue
+
+        while True:
+            if not _is_new_type(field_type):
+                break
+
+            field_type = field_type.__supertype__
+
+        if (field.name in overrides
+                and overrides[field.name].decoder is not None):
+            # FIXME hack
+            if field_type is type(field_value):
+                init_kwargs[field.name] = field_value
+            else:
+                init_kwargs[field.name] = overrides[field.name].decoder(
+                    field_value)
+        elif is_dataclass(field_type):
+            # FIXME this is a band-aid to deal with the value already being
+            # serialized when handling nested marshmallow schema
+            # proper fix is to investigate the marshmallow schema generation
+            # code
+            if is_dataclass(field_value):
+                value = field_value
+            else:
+                value = _decode_dataclass(field_type, field_value,
+                                          infer_missing)
+            init_kwargs[field.name] = value
+        elif _is_supported_generic(field_type) and field_type != str:
+            init_kwargs[field.name] = _decode_generic(field_type,
+                                                      field_value,
+                                                      infer_missing)
+        else:
+            init_kwargs[field.name] = _support_extended_types(field_type,
+                                                              field_value)
+
+    return cls(**init_kwargs)
+
+
+def _decode_type(type_, value, infer_missing):
+    if _has_decoder_in_global_config(type_):
+        return _get_decoder_in_global_config(type_)(value)
+    if _is_supported_generic(type_):
+        return _decode_generic(type_, value, infer_missing)
+    if is_dataclass(type_) or is_dataclass(value):
+        return _decode_dataclass(type_, value, infer_missing)
+    return _support_extended_types(type_, value)
+
+
+def _support_extended_types(field_type, field_value):
+    if _issubclass_safe(field_type, datetime):
+        # FIXME this is a hack to deal with mm already decoding
+        # the issue is we want to leverage mm fields' missing argument
+        # but need this for the object creation hook
+        if isinstance(field_value, datetime):
+            res = field_value
+        else:
+            tz = datetime.now(timezone.utc).astimezone().tzinfo
+            res = datetime.fromtimestamp(field_value, tz=tz)
+    elif _issubclass_safe(field_type, Decimal):
+        res = (field_value
+               if isinstance(field_value, Decimal)
+               else Decimal(field_value))
+    elif _issubclass_safe(field_type, UUID):
+        res = (field_value
+               if isinstance(field_value, UUID)
+               else UUID(field_value))
+    elif _issubclass_safe(field_type, (int, float, str, bool)):
+        res = (field_value
+               if isinstance(field_value, field_type)
+               else field_type(field_value))
+    else:
+        res = field_value
+    return res
+
+
+def _is_supported_generic(type_):
+    if type_ is _NO_ARGS:
+        return False
+    not_str = not _issubclass_safe(type_, str)
+    is_enum = _issubclass_safe(type_, Enum)
+    is_generic_dataclass = _is_generic_dataclass(type_)
+    return (not_str and _is_collection(type_)) or _is_optional(
+        type_) or is_union_type(type_) or is_enum or is_generic_dataclass
+
+
+def _decode_generic(type_, value, infer_missing):
+    if value is None:
+        res = value
+    elif _issubclass_safe(type_, Enum):
+        # Convert to an Enum using the type as a constructor.
+        # Assumes a direct match is found.
+        res = type_(value)
+    # FIXME this is a hack to fix a deeper underlying issue. A refactor is due.
+    elif _is_collection(type_):
+        if _is_mapping(type_) and not _is_counter(type_):
+            k_type, v_type = _get_type_args(type_, (Any, Any))
+            # a mapping type has `.keys()` and `.values()`
+            # (see collections.abc)
+            ks = _decode_dict_keys(k_type, value.keys(), infer_missing)
+            vs = _decode_items(v_type, value.values(), infer_missing)
+            xs = zip(ks, vs)
+        elif _is_tuple(type_):
+            types = _get_type_args(type_)
+            if Ellipsis in types:
+                xs = _decode_items(types[0], value, infer_missing)
+            else:
+                xs = _decode_items(_get_type_args(type_) or _NO_ARGS, value, infer_missing)
+        elif _is_counter(type_):
+            xs = dict(zip(_decode_items(_get_type_arg_param(type_, 0), value.keys(), infer_missing), value.values()))
+        else:
+            xs = _decode_items(_get_type_arg_param(type_, 0), value, infer_missing)
+
+        collection_type = _resolve_collection_type_to_decode_to(type_)
+        res = collection_type(xs)
+    elif _is_generic_dataclass(type_):
+        origin = _get_type_origin(type_)
+        res = _decode_dataclass(origin, value, infer_missing)
+    else:  # Optional or Union
+        _args = _get_type_args(type_)
+        if _args is _NO_ARGS:
+            # Any, just accept
+            res = value
+        elif _is_optional(type_) and len(_args) == 2:  # Optional
+            type_arg = _get_type_arg_param(type_, 0)
+            res = _decode_type(type_arg, value, infer_missing)
+        else:  # Union (already decoded or try to decode a dataclass)
+            type_options = _get_type_args(type_)
+            res = value  # assume already decoded
+            if type(value) is dict and dict not in type_options:
+                for type_option in type_options:
+                    if is_dataclass(type_option):
+                        try:
+                            res = _decode_dataclass(type_option, value, infer_missing)
+                            break
+                        except (KeyError, ValueError, AttributeError):
+                            continue
+                if res == value:
+                    warnings.warn(
+                        f"Failed to decode {value} Union dataclasses."
+                        f"Expected Union to include a matching dataclass and it didn't."
+                    )
+    return res
+
+
+def _decode_dict_keys(key_type, xs, infer_missing):
+    """
+    Because JSON object keys must be strs, we need the extra step of decoding
+    them back into the user's chosen python type
+    """
+    decode_function = key_type
+    # handle NoneType keys... it's weird to type a Dict as NoneType keys
+    # but it's valid...
+    # Issue #341 and PR #346:
+    #   This is a special case for Python 3.7 and Python 3.8.
+    #   By some reason, "unbound" dicts are counted
+    #   as having key type parameter to be TypeVar('KT')
+    if key_type is None or key_type == Any or isinstance(key_type, TypeVar):
+        decode_function = key_type = (lambda x: x)
+    # handle a nested python dict that has tuples for keys. E.g. for
+    # Dict[Tuple[int], int], key_type will be typing.Tuple[int], but
+    # decode_function should be tuple, so map() doesn't break.
+    #
+    # Note: _get_type_origin() will return typing.Tuple for python
+    # 3.6 and tuple for 3.7 and higher.
+    elif _get_type_origin(key_type) in {tuple, Tuple}:
+        decode_function = tuple
+        key_type = key_type
+
+    return map(decode_function, _decode_items(key_type, xs, infer_missing))
+
+
+def _decode_items(type_args, xs, infer_missing):
+    """
+    This is a tricky situation where we need to check both the annotated
+    type info (which is usually a type from `typing`) and check the
+    value's type directly using `type()`.
+
+    If the type_arg is a generic we can use the annotated type, but if the
+    type_arg is a typevar we need to extract the reified type information
+    hence the check of `is_dataclass(vs)`
+    """
+    def handle_pep0673(pre_0673_hint: str) -> Union[Type, str]:
+        for module in sys.modules.values():
+            if hasattr(module, type_args):
+                maybe_resolved = getattr(module, type_args)
+                warnings.warn(f"Assuming hint {pre_0673_hint} resolves to {maybe_resolved} "
+                              "This is not necessarily the value that is in-scope.")
+                return maybe_resolved
+
+        warnings.warn(f"Could not resolve self-reference for type {pre_0673_hint}, "
+                      f"decoded type might be incorrect or decode might fail altogether.")
+        return pre_0673_hint
+
+    # Before https://peps.python.org/pep-0673 (3.11+) self-type hints are simply strings
+    if sys.version_info.minor < 11 and type_args is not type and type(type_args) is str:
+        type_args = handle_pep0673(type_args)
+
+    if _isinstance_safe(type_args, Collection) and not _issubclass_safe(type_args, Enum):
+        if len(type_args) == len(xs):
+            return list(_decode_type(type_arg, x, infer_missing) for type_arg, x in zip(type_args, xs))
+        else:
+            raise TypeError(f"Number of types specified in the collection type {str(type_args)} "
+                            f"does not match number of elements in the collection. In case you are working with tuples"
+                            f"take a look at this document "
+                            f"docs.python.org/3/library/typing.html#annotating-tuples.")
+    return list(_decode_type(type_args, x, infer_missing) for x in xs)
+
+
+def _resolve_collection_type_to_decode_to(type_):
+    # get the constructor if using corresponding generic type in `typing`
+    # otherwise fallback on constructing using type_ itself
+    try:
+        collection_type = _get_type_cons(type_)
+    except (TypeError, AttributeError):
+        collection_type = type_
+
+    # map abstract collection to concrete implementation
+    return collections_abc_type_to_implementation_type.get(collection_type, collection_type)
+
+
+def _asdict(obj, encode_json=False):
+    """
+    A re-implementation of `asdict` (based on the original in the `dataclasses`
+    source) to support arbitrary Collection and Mapping types.
+    """
+    if is_dataclass(obj):
+        result = []
+        overrides = _user_overrides_or_exts(obj)
+        for field in fields(obj):
+            if overrides[field.name].encoder:
+                value = getattr(obj, field.name)
+            else:
+                value = _asdict(
+                    getattr(obj, field.name),
+                    encode_json=encode_json
+                )
+            result.append((field.name, value))
+
+        result = _handle_undefined_parameters_safe(cls=obj, kvs=dict(result),
+                                                   usage="to")
+        return _encode_overrides(dict(result), _user_overrides_or_exts(obj),
+                                 encode_json=encode_json)
+    elif isinstance(obj, Mapping):
+        return dict((_asdict(k, encode_json=encode_json),
+                     _asdict(v, encode_json=encode_json)) for k, v in
+                    obj.items())
+    # enum.IntFlag and enum.Flag are regarded as collections in Python 3.11, thus a check against Enum is needed
+    elif isinstance(obj, Collection) and not isinstance(obj, (str, bytes, Enum)):
+        return list(_asdict(v, encode_json=encode_json) for v in obj)
+    # encoding of generics primarily relies on concrete types while decoding relies on type annotations. This makes
+    # applying encoders/decoders from global configuration inconsistent.
+    elif _has_encoder_in_global_config(type(obj)):
+        return _get_encoder_in_global_config(type(obj))(obj)
+    else:
+        return copy.deepcopy(obj)
+
+
+def _has_decoder_in_global_config(type_):
+    return type_ in cfg.global_config.decoders
+
+
+def _get_decoder_in_global_config(type_):
+    return cfg.global_config.decoders[type_]
+
+
+def _has_encoder_in_global_config(type_):
+    return type_ in cfg.global_config.encoders
+
+
+def _get_encoder_in_global_config(type_):
+    return cfg.global_config.encoders[type_]

env/lib/python3.11/site-packages/dataclasses_json/mm.py

@@ -0,0 +1,399 @@
+# flake8: noqa
+
+import typing
+import warnings
+import sys
+from copy import deepcopy
+
+from dataclasses import MISSING, is_dataclass, fields as dc_fields
+from datetime import datetime
+from decimal import Decimal
+from uuid import UUID
+from enum import Enum
+
+from typing_inspect import is_union_type  # type: ignore
+
+from marshmallow import fields, Schema, post_load  # type: ignore
+from marshmallow.exceptions import ValidationError  # type: ignore
+
+from dataclasses_json.core import (_is_supported_generic, _decode_dataclass,
+                                   _ExtendedEncoder, _user_overrides_or_exts)
+from dataclasses_json.utils import (_is_collection, _is_optional,
+                                    _issubclass_safe, _timestamp_to_dt_aware,
+                                    _is_new_type, _get_type_origin,
+                                    _handle_undefined_parameters_safe,
+                                    CatchAllVar)
+
+
+class _TimestampField(fields.Field):
+    def _serialize(self, value, attr, obj, **kwargs):
+        if value is not None:
+            return value.timestamp()
+        else:
+            if not self.required:
+                return None
+            else:
+                raise ValidationError(self.default_error_messages["required"])
+
+    def _deserialize(self, value, attr, data, **kwargs):
+        if value is not None:
+            return _timestamp_to_dt_aware(value)
+        else:
+            if not self.required:
+                return None
+            else:
+                raise ValidationError(self.default_error_messages["required"])
+
+
+class _IsoField(fields.Field):
+    def _serialize(self, value, attr, obj, **kwargs):
+        if value is not None:
+            return value.isoformat()
+        else:
+            if not self.required:
+                return None
+            else:
+                raise ValidationError(self.default_error_messages["required"])
+
+    def _deserialize(self, value, attr, data, **kwargs):
+        if value is not None:
+            return datetime.fromisoformat(value)
+        else:
+            if not self.required:
+                return None
+            else:
+                raise ValidationError(self.default_error_messages["required"])
+
+
+class _UnionField(fields.Field):
+    def __init__(self, desc, cls, field, *args, **kwargs):
+        self.desc = desc
+        self.cls = cls
+        self.field = field
+        super().__init__(*args, **kwargs)
+
+    def _serialize(self, value, attr, obj, **kwargs):
+        if self.allow_none and value is None:
+            return None
+        for type_, schema_ in self.desc.items():
+            if _issubclass_safe(type(value), type_):
+                if is_dataclass(value):
+                    res = schema_._serialize(value, attr, obj, **kwargs)
+                    res['__type'] = str(type_.__name__)
+                    return res
+                break
+            elif isinstance(value, _get_type_origin(type_)):
+                return schema_._serialize(value, attr, obj, **kwargs)
+        else:
+            warnings.warn(
+                f'The type "{type(value).__name__}" (value: "{value}") '
+                f'is not in the list of possible types of typing.Union '
+                f'(dataclass: {self.cls.__name__}, field: {self.field.name}). '
+                f'Value cannot be serialized properly.')
+        return super()._serialize(value, attr, obj, **kwargs)
+
+    def _deserialize(self, value, attr, data, **kwargs):
+        tmp_value = deepcopy(value)
+        if isinstance(tmp_value, dict) and '__type' in tmp_value:
+            dc_name = tmp_value['__type']
+            for type_, schema_ in self.desc.items():
+                if is_dataclass(type_) and type_.__name__ == dc_name:
+                    del tmp_value['__type']
+                    return schema_._deserialize(tmp_value, attr, data, **kwargs)
+        elif isinstance(tmp_value, dict):
+            warnings.warn(
+                f'Attempting to deserialize "dict" (value: "{tmp_value}) '
+                f'that does not have a "__type" type specifier field into'
+                f'(dataclass: {self.cls.__name__}, field: {self.field.name}).'
+                f'Deserialization may fail, or deserialization to wrong type may occur.'
+            )
+            return super()._deserialize(tmp_value, attr, data, **kwargs)
+        else:
+            for type_, schema_ in self.desc.items():
+                if isinstance(tmp_value, _get_type_origin(type_)):
+                    return schema_._deserialize(tmp_value, attr, data, **kwargs)
+            else:
+                warnings.warn(
+                    f'The type "{type(tmp_value).__name__}" (value: "{tmp_value}") '
+                    f'is not in the list of possible types of typing.Union '
+                    f'(dataclass: {self.cls.__name__}, field: {self.field.name}). '
+                    f'Value cannot be deserialized properly.')
+            return super()._deserialize(tmp_value, attr, data, **kwargs)
+
+
+class _TupleVarLen(fields.List):
+    """
+    variable-length homogeneous tuples
+    """
+    def _deserialize(self, value, attr, data, **kwargs):
+        optional_list = super()._deserialize(value, attr, data, **kwargs)
+        return None if optional_list is None else tuple(optional_list)
+
+
+TYPES = {
+    typing.Mapping: fields.Mapping,
+    typing.MutableMapping: fields.Mapping,
+    typing.List: fields.List,
+    typing.Dict: fields.Dict,
+    typing.Tuple: fields.Tuple,
+    typing.Callable: fields.Function,
+    typing.Any: fields.Raw,
+    dict: fields.Dict,
+    list: fields.List,
+    tuple: fields.Tuple,
+    str: fields.Str,
+    int: fields.Int,
+    float: fields.Float,
+    bool: fields.Bool,
+    datetime: _TimestampField,
+    UUID: fields.UUID,
+    Decimal: fields.Decimal,
+    CatchAllVar: fields.Dict,
+}
+
+A = typing.TypeVar('A')
+JsonData = typing.Union[str, bytes, bytearray]
+TEncoded = typing.Dict[str, typing.Any]
+TOneOrMulti = typing.Union[typing.List[A], A]
+TOneOrMultiEncoded = typing.Union[typing.List[TEncoded], TEncoded]
+
+if sys.version_info >= (3, 7) or typing.TYPE_CHECKING:
+    class SchemaF(Schema, typing.Generic[A]):
+        """Lift Schema into a type constructor"""
+
+        def __init__(self, *args, **kwargs):
+            """
+            Raises exception because this class should not be inherited.
+            This class is helper only.
+            """
+
+            super().__init__(*args, **kwargs)
+            raise NotImplementedError()
+
+        @typing.overload
+        def dump(self, obj: typing.List[A], many: typing.Optional[bool] = None) -> typing.List[TEncoded]:  # type: ignore
+            # mm has the wrong return type annotation (dict) so we can ignore the mypy error
+            pass
+
+        @typing.overload
+        def dump(self, obj: A, many: typing.Optional[bool] = None) -> TEncoded:
+            pass
+
+        def dump(self, obj: TOneOrMulti,    # type: ignore
+                 many: typing.Optional[bool] = None) -> TOneOrMultiEncoded:
+            pass
+
+        @typing.overload
+        def dumps(self, obj: typing.List[A], many: typing.Optional[bool] = None, *args,
+                  **kwargs) -> str:
+            pass
+
+        @typing.overload
+        def dumps(self, obj: A, many: typing.Optional[bool] = None, *args, **kwargs) -> str:
+            pass
+
+        def dumps(self, obj: TOneOrMulti, many: typing.Optional[bool] = None, *args,   # type: ignore
+                  **kwargs) -> str:
+            pass
+
+        @typing.overload  # type: ignore
+        def load(self, data: typing.List[TEncoded],
+                 many: bool = True, partial: typing.Optional[bool] = None,
+                 unknown: typing.Optional[str] = None) -> \
+                typing.List[A]:
+            # ignore the mypy error of the decorator because mm does not define lists as an allowed input type
+            pass
+
+        @typing.overload
+        def load(self, data: TEncoded,
+                 many: None = None, partial: typing.Optional[bool] = None,
+                 unknown: typing.Optional[str] = None) -> A:
+            pass
+
+        def load(self, data: TOneOrMultiEncoded,
+                 many: typing.Optional[bool] = None, partial: typing.Optional[bool] = None,
+                 unknown: typing.Optional[str] = None) -> TOneOrMulti:
+            pass
+
+        @typing.overload  # type: ignore
+        def loads(self, json_data: JsonData,  # type: ignore
+                  many: typing.Optional[bool] = True, partial: typing.Optional[bool] = None, unknown: typing.Optional[str] = None,
+                  **kwargs) -> typing.List[A]:
+            # ignore the mypy error of the decorator because mm does not define bytes as correct input data
+            # mm has the wrong return type annotation (dict) so we can ignore the mypy error
+            # for the return type overlap
+            pass
+
+        def loads(self, json_data: JsonData,
+                  many: typing.Optional[bool] = None, partial: typing.Optional[bool] = None, unknown: typing.Optional[str] = None,
+                  **kwargs) -> TOneOrMulti:
+            pass
+
+
+    SchemaType = SchemaF[A]
+else:
+    SchemaType = Schema
+
+
+def build_type(type_, options, mixin, field, cls):
+    def inner(type_, options):
+        while True:
+            if not _is_new_type(type_):
+                break
+
+            type_ = type_.__supertype__
+
+        if is_dataclass(type_):
+            if _issubclass_safe(type_, mixin):
+                options['field_many'] = bool(
+                    _is_supported_generic(field.type) and _is_collection(
+                        field.type))
+                return fields.Nested(type_.schema(), **options)
+            else:
+                warnings.warn(f"Nested dataclass field {field.name} of type "
+                              f"{field.type} detected in "
+                              f"{cls.__name__} that is not an instance of "
+                              f"dataclass_json. Did you mean to recursively "
+                              f"serialize this field? If so, make sure to "
+                              f"augment {type_} with either the "
+                              f"`dataclass_json` decorator or mixin.")
+                return fields.Field(**options)
+
+        origin = getattr(type_, '__origin__', type_)
+        args = [inner(a, {}) for a in getattr(type_, '__args__', []) if
+                a is not type(None)]
+
+        if type_ == Ellipsis:
+            return type_
+
+        if _is_optional(type_):
+            options["allow_none"] = True
+        if origin is tuple:
+            if len(args) == 2 and args[1] == Ellipsis:
+                return _TupleVarLen(args[0], **options)
+            else:
+                return fields.Tuple(args, **options)
+        if origin in TYPES:
+            return TYPES[origin](*args, **options)
+
+        if _issubclass_safe(origin, Enum):
+            return fields.Enum(enum=origin, by_value=True, *args, **options)
+
+        if is_union_type(type_):
+            union_types = [a for a in getattr(type_, '__args__', []) if
+                           a is not type(None)]
+            union_desc = dict(zip(union_types, args))
+            return _UnionField(union_desc, cls, field, **options)
+
+        warnings.warn(
+            f"Unknown type {type_} at {cls.__name__}.{field.name}: {field.type} "
+            f"It's advised to pass the correct marshmallow type to `mm_field`.")
+        return fields.Field(**options)
+
+    return inner(type_, options)
+
+
+def schema(cls, mixin, infer_missing):
+    schema = {}
+    overrides = _user_overrides_or_exts(cls)
+    # TODO check the undefined parameters and add the proper schema action
+    #  https://marshmallow.readthedocs.io/en/stable/quickstart.html
+    for field in dc_fields(cls):
+        metadata = overrides[field.name]
+        if metadata.mm_field is not None:
+            schema[field.name] = metadata.mm_field
+        else:
+            type_ = field.type
+            options: typing.Dict[str, typing.Any] = {}
+            missing_key = 'missing' if infer_missing else 'default'
+            if field.default is not MISSING:
+                options[missing_key] = field.default
+            elif field.default_factory is not MISSING:
+                options[missing_key] = field.default_factory()
+            else:
+                options['required'] = True
+
+            if options.get(missing_key, ...) is None:
+                options['allow_none'] = True
+
+            if _is_optional(type_):
+                options.setdefault(missing_key, None)
+                options['allow_none'] = True
+                if len(type_.__args__) == 2:
+                    # Union[str, int, None] is optional too, but it has more than 1 typed field.
+                    type_ = [tp for tp in type_.__args__ if tp is not type(None)][0]
+
+            if metadata.letter_case is not None:
+                options['data_key'] = metadata.letter_case(field.name)
+
+            t = build_type(type_, options, mixin, field, cls)
+            if field.metadata.get('dataclasses_json', {}).get('decoder'):
+                # If the field defines a custom decoder, it should completely replace the Marshmallow field's conversion
+                # logic.
+                # From Marshmallow's documentation for the _deserialize method:
+                # "Deserialize value. Concrete :class:`Field` classes should implement this method. "
+                # This is the method that Field implementations override to perform the actual deserialization logic.
+                # In this case we specifically override this method instead of `deserialize` to minimize potential
+                # side effects, and only cancel the actual value deserialization.
+                t._deserialize = lambda v, *_a, **_kw: v
+
+            # if type(t) is not fields.Field:  # If we use `isinstance` we would return nothing.
+            if field.type != typing.Optional[CatchAllVar]:
+                schema[field.name] = t
+
+    return schema
+
+
+def build_schema(cls: typing.Type[A],
+                 mixin,
+                 infer_missing,
+                 partial) -> typing.Type["SchemaType[A]"]:
+    Meta = type('Meta',
+                (),
+                {'fields': tuple(field.name for field in dc_fields(cls)  # type: ignore
+                                 if
+                                 field.name != 'dataclass_json_config' and field.type !=
+                                 typing.Optional[CatchAllVar]),
+                 # TODO #180
+                 # 'render_module': global_config.json_module
+                 })
+
+    @post_load
+    def make_instance(self, kvs, **kwargs):
+        return _decode_dataclass(cls, kvs, partial)
+
+    def dumps(self, *args, **kwargs):
+        if 'cls' not in kwargs:
+            kwargs['cls'] = _ExtendedEncoder
+
+        return Schema.dumps(self, *args, **kwargs)
+
+    def dump(self, obj, *, many=None):
+        many = self.many if many is None else bool(many)
+        dumped = Schema.dump(self, obj, many=many)
+        # TODO This is hacky, but the other option I can think of is to generate a different schema
+        #  depending on dump and load, which is even more hacky
+
+        # The only problem is the catch-all field, we can't statically create a schema for it,
+        # so we just update the dumped dict
+        if many:
+            for i, _obj in enumerate(obj):
+                dumped[i].update(
+                    _handle_undefined_parameters_safe(cls=_obj, kvs={},
+                                                      usage="dump"))
+        else:
+            dumped.update(_handle_undefined_parameters_safe(cls=obj, kvs={},
+                                                            usage="dump"))
+        return dumped
+
+    schema_ = schema(cls, mixin, infer_missing)
+    DataClassSchema: typing.Type["SchemaType[A]"] = type(
+        f'{cls.__name__.capitalize()}Schema',
+        (Schema,),
+        {'Meta': Meta,
+         f'make_{cls.__name__.lower()}': make_instance,
+         'dumps': dumps,
+         'dump': dump,
+         **schema_})
+
+    return DataClassSchema

env/lib/python3.11/site-packages/dataclasses_json/stringcase.py

@@ -0,0 +1,130 @@
+# The MIT License (MIT)
+#
+# Copyright (c) 2015 Taka Okunishi
+#
+# 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.
+#
+# Copyright © 2015-2018 Taka Okunishi <okunishinishi@gmail.com>.
+# Copyright © 2020 Louis-Philippe Véronneau <pollo@debian.org>
+
+import re
+
+
+def uplowcase(string, case):
+    """Convert string into upper or lower case.
+
+    Args:
+        string: String to convert.
+
+    Returns:
+        string: Uppercase or lowercase case string.
+
+    """
+    if case == 'up':
+        return str(string).upper()
+    elif case == 'low':
+        return str(string).lower()
+
+
+def capitalcase(string):
+    """Convert string into capital case.
+    First letters will be uppercase.
+
+    Args:
+        string: String to convert.
+
+    Returns:
+        string: Capital case string.
+
+    """
+
+    string = str(string)
+    if not string:
+        return string
+    return uplowcase(string[0], 'up') + string[1:]
+
+
+def camelcase(string):
+    """ Convert string into camel case.
+
+    Args:
+        string: String to convert.
+
+    Returns:
+        string: Camel case string.
+
+    """
+
+    string = re.sub(r"^[\-_\.]", '', str(string))
+    if not string:
+        return string
+    return (uplowcase(string[0], 'low')
+            + re.sub(r"[\-_\.\s]([a-z0-9])",
+                     lambda matched: uplowcase(matched.group(1), 'up'),
+                     string[1:]))
+
+
+def snakecase(string):
+    """Convert string into snake case.
+    Join punctuation with underscore
+
+    Args:
+        string: String to convert.
+
+    Returns:
+        string: Snake cased string.
+
+    """
+
+    string = re.sub(r"[\-\.\s]", '_', str(string))
+    if not string:
+        return string
+    return (uplowcase(string[0], 'low')
+            + re.sub(r"[A-Z0-9]",
+                     lambda matched: '_' + uplowcase(matched.group(0), 'low'),
+                     string[1:]))
+
+
+def spinalcase(string):
+    """Convert string into spinal case.
+    Join punctuation with hyphen.
+
+    Args:
+        string: String to convert.
+
+    Returns:
+        string: Spinal cased string.
+
+    """
+
+    return re.sub(r"_", "-", snakecase(string))
+
+
+def pascalcase(string):
+    """Convert string into pascal case.
+
+    Args:
+        string: String to convert.
+
+    Returns:
+        string: Pascal case string.
+
+    """
+
+    return capitalcase(camelcase(string))

env/lib/python3.11/site-packages/dataclasses_json/undefined.py

@@ -0,0 +1,280 @@
+import abc
+import dataclasses
+import functools
+import inspect
+import sys
+from dataclasses import Field, fields
+from typing import Any, Callable, Dict, Optional, Tuple, Union, Type, get_type_hints
+from enum import Enum
+
+from marshmallow.exceptions import ValidationError  # type: ignore
+
+from dataclasses_json.utils import CatchAllVar
+
+KnownParameters = Dict[str, Any]
+UnknownParameters = Dict[str, Any]
+
+
+class _UndefinedParameterAction(abc.ABC):
+    @staticmethod
+    @abc.abstractmethod
+    def handle_from_dict(cls, kvs: Dict[Any, Any]) -> Dict[str, Any]:
+        """
+        Return the parameters to initialize the class with.
+        """
+        pass
+
+    @staticmethod
+    def handle_to_dict(obj, kvs: Dict[Any, Any]) -> Dict[Any, Any]:
+        """
+        Return the parameters that will be written to the output dict
+        """
+        return kvs
+
+    @staticmethod
+    def handle_dump(obj) -> Dict[Any, Any]:
+        """
+        Return the parameters that will be added to the schema dump.
+        """
+        return {}
+
+    @staticmethod
+    def create_init(obj) -> Callable:
+        return obj.__init__
+
+    @staticmethod
+    def _separate_defined_undefined_kvs(cls, kvs: Dict) -> \
+            Tuple[KnownParameters, UnknownParameters]:
+        """
+        Returns a 2 dictionaries: defined and undefined parameters
+        """
+        class_fields = fields(cls)
+        field_names = [field.name for field in class_fields]
+        unknown_given_parameters = {k: v for k, v in kvs.items() if
+                                    k not in field_names}
+        known_given_parameters = {k: v for k, v in kvs.items() if
+                                  k in field_names}
+        return known_given_parameters, unknown_given_parameters
+
+
+class _RaiseUndefinedParameters(_UndefinedParameterAction):
+    """
+    This action raises UndefinedParameterError if it encounters an undefined
+    parameter during initialization.
+    """
+
+    @staticmethod
+    def handle_from_dict(cls, kvs: Dict) -> Dict[str, Any]:
+        known, unknown = \
+            _UndefinedParameterAction._separate_defined_undefined_kvs(
+                cls=cls, kvs=kvs)
+        if len(unknown) > 0:
+            raise UndefinedParameterError(
+                f"Received undefined initialization arguments {unknown}")
+        return known
+
+
+CatchAll = Optional[CatchAllVar]
+
+
+class _IgnoreUndefinedParameters(_UndefinedParameterAction):
+    """
+    This action does nothing when it encounters undefined parameters.
+    The undefined parameters can not be retrieved after the class has been
+    created.
+    """
+
+    @staticmethod
+    def handle_from_dict(cls, kvs: Dict) -> Dict[str, Any]:
+        known_given_parameters, _ = \
+            _UndefinedParameterAction._separate_defined_undefined_kvs(
+                cls=cls, kvs=kvs)
+        return known_given_parameters
+
+    @staticmethod
+    def create_init(obj) -> Callable:
+        original_init = obj.__init__
+        init_signature = inspect.signature(original_init)
+
+        @functools.wraps(obj.__init__)
+        def _ignore_init(self, *args, **kwargs):
+            known_kwargs, _ = \
+                _CatchAllUndefinedParameters._separate_defined_undefined_kvs(
+                    obj, kwargs)
+            num_params_takeable = len(
+                init_signature.parameters) - 1  # don't count self
+            num_args_takeable = num_params_takeable - len(known_kwargs)
+
+            args = args[:num_args_takeable]
+            bound_parameters = init_signature.bind_partial(self, *args,
+                                                           **known_kwargs)
+            bound_parameters.apply_defaults()
+
+            arguments = bound_parameters.arguments
+            arguments.pop("self", None)
+            final_parameters = \
+                _IgnoreUndefinedParameters.handle_from_dict(obj, arguments)
+            original_init(self, **final_parameters)
+
+        return _ignore_init
+
+
+class _CatchAllUndefinedParameters(_UndefinedParameterAction):
+    """
+    This class allows to add a field of type utils.CatchAll which acts as a
+    dictionary into which all
+    undefined parameters will be written.
+    These parameters are not affected by LetterCase.
+    If no undefined parameters are given, this dictionary will be empty.
+    """
+
+    class _SentinelNoDefault:
+        pass
+
+    @staticmethod
+    def handle_from_dict(cls, kvs: Dict) -> Dict[str, Any]:
+        known, unknown = _UndefinedParameterAction \
+            ._separate_defined_undefined_kvs(cls=cls, kvs=kvs)
+        catch_all_field = _CatchAllUndefinedParameters._get_catch_all_field(
+            cls=cls)
+
+        if catch_all_field.name in known:
+
+            already_parsed = isinstance(known[catch_all_field.name], dict)
+            default_value = _CatchAllUndefinedParameters._get_default(
+                catch_all_field=catch_all_field)
+            received_default = default_value == known[catch_all_field.name]
+
+            value_to_write: Any
+            if received_default and len(unknown) == 0:
+                value_to_write = default_value
+            elif received_default and len(unknown) > 0:
+                value_to_write = unknown
+            elif already_parsed:
+                # Did not receive default
+                value_to_write = known[catch_all_field.name]
+                if len(unknown) > 0:
+                    value_to_write.update(unknown)
+            else:
+                error_message = f"Received input field with " \
+                                f"same name as catch-all field: " \
+                                f"'{catch_all_field.name}': " \
+                                f"'{known[catch_all_field.name]}'"
+                raise UndefinedParameterError(error_message)
+        else:
+            value_to_write = unknown
+
+        known[catch_all_field.name] = value_to_write
+        return known
+
+    @staticmethod
+    def _get_default(catch_all_field: Field) -> Any:
+        # access to the default factory currently causes
+        # a false-positive mypy error (16. Dec 2019):
+        # https://github.com/python/mypy/issues/6910
+
+        # noinspection PyProtectedMember
+        has_default = not isinstance(catch_all_field.default,
+                                     dataclasses._MISSING_TYPE)
+        # noinspection PyProtectedMember
+        has_default_factory = not isinstance(catch_all_field.default_factory,
+                                             # type: ignore
+                                             dataclasses._MISSING_TYPE)
+        # TODO: black this for proper formatting
+        default_value: Union[
+            Type[_CatchAllUndefinedParameters._SentinelNoDefault], Any] = _CatchAllUndefinedParameters\
+            ._SentinelNoDefault
+
+        if has_default:
+            default_value = catch_all_field.default
+        elif has_default_factory:
+            # This might be unwanted if the default factory constructs
+            # something expensive,
+            # because we have to construct it again just for this test
+            default_value = catch_all_field.default_factory()  # type: ignore
+
+        return default_value
+
+    @staticmethod
+    def handle_to_dict(obj, kvs: Dict[Any, Any]) -> Dict[Any, Any]:
+        catch_all_field = \
+            _CatchAllUndefinedParameters._get_catch_all_field(obj.__class__)
+        undefined_parameters = kvs.pop(catch_all_field.name)
+        if isinstance(undefined_parameters, dict):
+            kvs.update(
+                undefined_parameters)  # If desired handle letter case here
+        return kvs
+
+    @staticmethod
+    def handle_dump(obj) -> Dict[Any, Any]:
+        catch_all_field = _CatchAllUndefinedParameters._get_catch_all_field(
+            cls=obj)
+        return getattr(obj, catch_all_field.name)
+
+    @staticmethod
+    def create_init(obj) -> Callable:
+        original_init = obj.__init__
+        init_signature = inspect.signature(original_init)
+
+        @functools.wraps(obj.__init__)
+        def _catch_all_init(self, *args, **kwargs):
+            known_kwargs, unknown_kwargs = \
+                _CatchAllUndefinedParameters._separate_defined_undefined_kvs(
+                    obj, kwargs)
+            num_params_takeable = len(
+                init_signature.parameters) - 1  # don't count self
+            if _CatchAllUndefinedParameters._get_catch_all_field(
+                    obj).name not in known_kwargs:
+                num_params_takeable -= 1
+            num_args_takeable = num_params_takeable - len(known_kwargs)
+
+            args, unknown_args = args[:num_args_takeable], args[
+                                                           num_args_takeable:]
+            bound_parameters = init_signature.bind_partial(self, *args,
+                                                           **known_kwargs)
+
+            unknown_args = {f"_UNKNOWN{i}": v for i, v in
+                            enumerate(unknown_args)}
+            arguments = bound_parameters.arguments
+            arguments.update(unknown_args)
+            arguments.update(unknown_kwargs)
+            arguments.pop("self", None)
+            final_parameters = _CatchAllUndefinedParameters.handle_from_dict(
+                obj, arguments)
+            original_init(self, **final_parameters)
+
+        return _catch_all_init
+
+    @staticmethod
+    def _get_catch_all_field(cls) -> Field:
+        cls_globals = vars(sys.modules[cls.__module__])
+        types = get_type_hints(cls, globalns=cls_globals)
+        catch_all_fields = list(
+            filter(lambda f: types[f.name] == Optional[CatchAllVar], fields(cls)))
+        number_of_catch_all_fields = len(catch_all_fields)
+        if number_of_catch_all_fields == 0:
+            raise UndefinedParameterError(
+                "No field of type dataclasses_json.CatchAll defined")
+        elif number_of_catch_all_fields > 1:
+            raise UndefinedParameterError(
+                f"Multiple catch-all fields supplied: "
+                f"{number_of_catch_all_fields}.")
+        else:
+            return catch_all_fields[0]
+
+
+class Undefined(Enum):
+    """
+    Choose the behavior what happens when an undefined parameter is encountered
+    during class initialization.
+    """
+    INCLUDE = _CatchAllUndefinedParameters
+    RAISE = _RaiseUndefinedParameters
+    EXCLUDE = _IgnoreUndefinedParameters
+
+
+class UndefinedParameterError(ValidationError):
+    """
+    Raised when something has gone wrong handling undefined parameters.
+    """
+    pass

env/lib/python3.11/site-packages/dataclasses_json/utils.py

@@ -0,0 +1,219 @@
+import inspect
+import sys
+from datetime import datetime, timezone
+from collections import Counter
+from dataclasses import is_dataclass  # type: ignore
+from typing import (Collection, Mapping, Optional, TypeVar, Any, Type, Tuple,
+                    Union, cast)
+
+
+def _get_type_cons(type_):
+    """More spaghetti logic for 3.6 vs. 3.7"""
+    if sys.version_info.minor == 6:
+        try:
+            cons = type_.__extra__
+        except AttributeError:
+            try:
+                cons = type_.__origin__
+            except AttributeError:
+                cons = type_
+            else:
+                cons = type_ if cons is None else cons
+        else:
+            try:
+                cons = type_.__origin__ if cons is None else cons
+            except AttributeError:
+                cons = type_
+    else:
+        cons = type_.__origin__
+    return cons
+
+
+_NO_TYPE_ORIGIN = object()
+
+
+def _get_type_origin(type_):
+    """Some spaghetti logic to accommodate differences between 3.6 and 3.7 in
+    the typing api"""
+    try:
+        origin = type_.__origin__
+    except AttributeError:
+        # Issue #341 and PR #346:
+        # For some cases, the type_.__origin__ exists but is set to None
+        origin = _NO_TYPE_ORIGIN
+
+    if sys.version_info.minor == 6:
+        try:
+            origin = type_.__extra__
+        except AttributeError:
+            origin = type_
+        else:
+            origin = type_ if origin in (None, _NO_TYPE_ORIGIN) else origin
+    elif origin is _NO_TYPE_ORIGIN:
+        origin = type_
+    return origin
+
+
+def _hasargs(type_, *args):
+    try:
+        res = all(arg in type_.__args__ for arg in args)
+    except AttributeError:
+        return False
+    except TypeError:
+        if (type_.__args__ is None):
+            return False
+        else:
+            raise
+    else:
+        return res
+
+
+class _NoArgs(object):
+    def __bool__(self):
+        return False
+
+    def __len__(self):
+        return 0
+
+    def __iter__(self):
+        return self
+
+    def __next__(self):
+        raise StopIteration
+
+
+_NO_ARGS = _NoArgs()
+
+
+def _get_type_args(tp: Type, default: Union[Tuple[Type, ...], _NoArgs] = _NO_ARGS) -> \
+        Union[Tuple[Type, ...], _NoArgs]:
+    if hasattr(tp, '__args__'):
+        if tp.__args__ is not None:
+            return tp.__args__
+    return default
+
+
+def _get_type_arg_param(tp: Type, index: int) -> Union[Type, _NoArgs]:
+    _args = _get_type_args(tp)
+    if _args is not _NO_ARGS:
+        try:
+            return cast(Tuple[Type, ...], _args)[index]
+        except (TypeError, IndexError, NotImplementedError):
+            pass
+
+    return _NO_ARGS
+
+
+def _isinstance_safe(o, t):
+    try:
+        result = isinstance(o, t)
+    except Exception:
+        return False
+    else:
+        return result
+
+
+def _issubclass_safe(cls, classinfo):
+    try:
+        return issubclass(cls, classinfo)
+    except Exception:
+        return (_is_new_type_subclass_safe(cls, classinfo)
+                if _is_new_type(cls)
+                else False)
+
+
+def _is_new_type_subclass_safe(cls, classinfo):
+    super_type = getattr(cls, "__supertype__", None)
+
+    if super_type:
+        return _is_new_type_subclass_safe(super_type, classinfo)
+
+    try:
+        return issubclass(cls, classinfo)
+    except Exception:
+        return False
+
+
+def _is_new_type(type_):
+    return inspect.isfunction(type_) and hasattr(type_, "__supertype__")
+
+
+def _is_optional(type_):
+    return (_issubclass_safe(type_, Optional) or
+            _hasargs(type_, type(None)) or
+            type_ is Any)
+
+
+def _is_counter(type_):
+    return _issubclass_safe(_get_type_origin(type_), Counter)
+
+
+def _is_mapping(type_):
+    return _issubclass_safe(_get_type_origin(type_), Mapping)
+
+
+def _is_collection(type_):
+    return _issubclass_safe(_get_type_origin(type_), Collection)
+
+
+def _is_tuple(type_):
+    return _issubclass_safe(_get_type_origin(type_), Tuple)
+
+
+def _is_nonstr_collection(type_):
+    return (_issubclass_safe(_get_type_origin(type_), Collection)
+            and not _issubclass_safe(type_, str))
+
+
+def _is_generic_dataclass(type_):
+    return is_dataclass(_get_type_origin(type_))
+
+
+def _timestamp_to_dt_aware(timestamp: float):
+    tz = datetime.now(timezone.utc).astimezone().tzinfo
+    dt = datetime.fromtimestamp(timestamp, tz=tz)
+    return dt
+
+
+def _undefined_parameter_action_safe(cls):
+    try:
+        if cls.dataclass_json_config is None:
+            return
+        action_enum = cls.dataclass_json_config['undefined']
+    except (AttributeError, KeyError):
+        return
+
+    if action_enum is None or action_enum.value is None:
+        return
+
+    return action_enum
+
+
+def _handle_undefined_parameters_safe(cls, kvs, usage: str):
+    """
+    Checks if an undefined parameters action is defined and performs the
+    according action.
+    """
+    undefined_parameter_action = _undefined_parameter_action_safe(cls)
+    usage = usage.lower()
+    if undefined_parameter_action is None:
+        return kvs if usage != "init" else cls.__init__
+    if usage == "from":
+        return undefined_parameter_action.value.handle_from_dict(cls=cls,
+                                                                 kvs=kvs)
+    elif usage == "to":
+        return undefined_parameter_action.value.handle_to_dict(obj=cls,
+                                                               kvs=kvs)
+    elif usage == "dump":
+        return undefined_parameter_action.value.handle_dump(obj=cls)
+    elif usage == "init":
+        return undefined_parameter_action.value.create_init(obj=cls)
+    else:
+        raise ValueError(
+            f"usage must be one of ['to', 'from', 'dump', 'init'], "
+            f"but is '{usage}'")
+
+
+# Define a type for the CatchAll field
+# https://stackoverflow.com/questions/59360567/define-a-custom-type-that-behaves-like-typing-any
+CatchAllVar = TypeVar("CatchAllVar", bound=Mapping)