generated from daniil-berg/boilerplate-py
✨ Overload dump
/dumps
methods to increase type safety;
issue a warning, when using the `many` parameter in `__init__`
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84fa2d2cd9
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@ -7,6 +7,7 @@ documentation of [`marshmallow.Schema`][marshmallow.Schema].
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from collections.abc import Iterable, Mapping, Sequence
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from collections.abc import Iterable, Mapping, Sequence
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from typing import TYPE_CHECKING, Any, Literal, Optional, TypeVar, Union, overload
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from typing import TYPE_CHECKING, Any, Literal, Optional, TypeVar, Union, overload
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from warnings import warn
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from marshmallow import Schema
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from marshmallow import Schema
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@ -43,6 +44,79 @@ class GenericSchema(GenericInsightMixin1[Model], Schema):
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```
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```
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"""
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"""
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def __init__(
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self,
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*,
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only: Union[Sequence[str], set[str], None] = None,
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exclude: Union[Sequence[str], set[str]] = (),
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context: Union[dict[str, Any], None] = None,
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load_only: Union[Sequence[str], set[str]] = (),
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dump_only: Union[Sequence[str], set[str]] = (),
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partial: Union[bool, Sequence[str], set[str]] = False,
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unknown: Optional[str] = None,
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many: Optional[bool] = None,
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) -> None:
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"""
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Emits a warning, if the `many` argument is not `None`.
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Otherwise the same as in [`marshmallow.Schema`][marshmallow.Schema].
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Args:
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only:
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Whitelist of the declared fields to select when instantiating
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the Schema. If `None`, all fields are used. Nested fields can
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be represented with dot delimiters.
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exclude:
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Blacklist of the declared fields to exclude when instantiating
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the Schema. If a field appears in both `only` and `exclude`,
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it is not used. Nested fields can be represented with dot
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delimiters.
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context:
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Optional context passed to [`Method`]
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[marshmallow.fields.Method] and [`Function`]
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[marshmallow.fields.Function] fields.
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load_only:
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Fields to skip during serialization (write-only fields)
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dump_only:
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Fields to skip during deserialization (read-only fields)
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partial:
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Whether to ignore missing fields and not require any fields
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declared. Propagates down to [`Nested`]
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[marshmallow.fields.Nested] fields as well. If its value is an
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iterable, only missing fields listed in that iterable will be
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ignored. Use dot delimiters to specify nested fields.
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unknown:
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Whether to exclude, include, or raise an error for unknown
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fields in the data. Use `EXCLUDE`, `INCLUDE` or `RAISE`.
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many:
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!!! warning
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Specifying this option schema-wide undermines the type
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safety that this class aims to provide and passing any
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value other than `None` will trigger a warning. Use the
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method-specific `many` parameter, when calling
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[`dump`][marshmallow_generic.GenericSchema.dump]/
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[`dumps`][marshmallow_generic.GenericSchema.dumps] or
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[`load`][marshmallow_generic.GenericSchema.load]/
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[`loads`][marshmallow_generic.GenericSchema.loads] instead.
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"""
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if many is not None:
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warn(
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"Setting `many` schema-wide breaks type safety. Use the the "
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"`many` parameter of specific methods (like `load`) instead."
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)
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else:
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many = bool(many)
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super().__init__(
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only=only,
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exclude=exclude,
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many=many,
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context=context,
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load_only=load_only,
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dump_only=dump_only,
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partial=partial,
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unknown=unknown,
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)
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@post_load
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@post_load
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def instantiate(self, data: dict[str, Any], **_kwargs: Any) -> Model:
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def instantiate(self, data: dict[str, Any], **_kwargs: Any) -> Model:
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"""
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"""
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@ -52,10 +126,9 @@ class GenericSchema(GenericInsightMixin1[Model], Schema):
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[marshmallow_generic.decorators.post_load] hook for the schema.
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[marshmallow_generic.decorators.post_load] hook for the schema.
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!!! warning
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!!! warning
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You should probably **not** use this method directly;
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You should probably not use this method directly. No parsing,
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no parsing, transformation or validation of any kind is done
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transformation or validation of any kind is done in this method.
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in this method. The `data` passed to the **`Model`** constructor
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The `data` is passed to the **`Model`** constructor "as is".
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"as is".
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Args:
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Args:
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data:
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data:
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@ -69,6 +142,85 @@ class GenericSchema(GenericInsightMixin1[Model], Schema):
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if TYPE_CHECKING:
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if TYPE_CHECKING:
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@overload # type: ignore[override]
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def dump(
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self,
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obj: Iterable[Model],
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*,
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many: Literal[True],
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) -> list[dict[str, Any]]:
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...
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@overload
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def dump(
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self,
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obj: Model,
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*,
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many: Optional[Literal[False]] = None,
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) -> dict[str, Any]:
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...
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def dump(
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self,
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obj: Union[Model, Iterable[Model]],
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*,
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many: Optional[bool] = None,
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) -> Union[dict[str, Any], list[dict[str, Any]]]:
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"""
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Serializes **`Model`** objects to native Python data types.
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Same as [`marshmallow.Schema.dump`]
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[marshmallow.schema.Schema.dump] at runtime.
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Annotations ensure that type checkers will infer the return type
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correctly based on the `many` argument, and also enforce the `obj`
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argument to be an a `list` of **`Model`** instances, if `many` is
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set to `True` or a single instance of it, if `many` is `False`
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(or omitted).
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Args:
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obj:
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The object or iterable of objects to serialize
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many:
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Whether to serialize `obj` as a collection. If `None`, the
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value for `self.many` is used.
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Returns:
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(dict[str, Any]): if `many` is set to `False`
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(list[dict[str, Any]]): if `many` is set to `True`
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"""
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...
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@overload # type: ignore[override]
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def dumps(
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self,
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obj: Iterable[Model],
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*args: Any,
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many: Literal[True],
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**kwargs: Any,
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) -> str:
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...
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@overload
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def dumps(
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self,
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obj: Model,
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*args: Any,
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many: Optional[Literal[False]] = None,
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**kwargs: Any,
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) -> str:
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...
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def dumps(
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self,
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obj: Union[Model, Iterable[Model]],
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*args: Any,
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many: Optional[bool] = None,
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**kwargs: Any,
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) -> str:
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"""Same as [`dump`][marshmallow_generic.GenericSchema.dump], but returns a JSON-encoded string."""
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...
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@overload # type: ignore[override]
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@overload # type: ignore[override]
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def load(
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def load(
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self,
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self,
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@ -1,3 +1,4 @@
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from typing import Any
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from unittest import TestCase
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from unittest import TestCase
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from unittest.mock import MagicMock, patch
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from unittest.mock import MagicMock, patch
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@ -5,6 +6,29 @@ from marshmallow_generic import _util, schema
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class GenericSchemaTestCase(TestCase):
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class GenericSchemaTestCase(TestCase):
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@patch("marshmallow.schema.Schema.__init__")
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def test___init__(self, mock_super_init: MagicMock) -> None:
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class Foo:
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pass
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kwargs: dict[str, Any] = {
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"only": object(),
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"exclude": object(),
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"context": object(),
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"load_only": object(),
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"dump_only": object(),
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"partial": object(),
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"unknown": object(),
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"many": None,
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}
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schema.GenericSchema[Foo](**kwargs)
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mock_super_init.assert_called_once_with(**kwargs | {"many": False})
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mock_super_init.reset_mock()
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kwargs["many"] = True
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with self.assertWarns(UserWarning):
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schema.GenericSchema[Foo](**kwargs)
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mock_super_init.assert_called_once_with(**kwargs)
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@patch.object(_util.GenericInsightMixin, "_get_type_arg")
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@patch.object(_util.GenericInsightMixin, "_get_type_arg")
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def test_instantiate(self, mock__get_type_arg: MagicMock) -> None:
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def test_instantiate(self, mock__get_type_arg: MagicMock) -> None:
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mock__get_type_arg.return_value = mock_cls = MagicMock()
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mock__get_type_arg.return_value = mock_cls = MagicMock()
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@ -20,6 +44,26 @@ class GenericSchemaTestCase(TestCase):
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mock__get_type_arg.assert_called_once_with(0)
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mock__get_type_arg.assert_called_once_with(0)
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mock_cls.assert_called_once_with(**mock_data)
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mock_cls.assert_called_once_with(**mock_data)
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def test_dump_and_dumps(self) -> None:
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"""Mainly for static type checking purposes."""
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class Foo:
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pass
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class TestSchema(schema.GenericSchema[Foo]):
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pass
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foo = Foo()
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single: dict[str, Any] = TestSchema().dump(foo)
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self.assertDictEqual({}, single)
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json_string: str = TestSchema().dumps(foo)
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self.assertEqual("{}", json_string)
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multiple: list[dict[str, Any]] = TestSchema().dump([foo], many=True)
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self.assertListEqual([{}], multiple)
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json_string = TestSchema().dumps([foo], many=True)
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self.assertEqual("[{}]", json_string)
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def test_load_and_loads(self) -> None:
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def test_load_and_loads(self) -> None:
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"""Mainly for static type checking purposes."""
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"""Mainly for static type checking purposes."""
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