fastapi_13207

{"status": "ok", "stdout": "./fastapi/_compat/may_v1.py:65:        separate_input_output_schemas: bool = True,\n./fastapi/_compat/v1.py:243:    separate_input_output_schemas: bool = True,\n./fastapi/_compat/v1.py:259:    separate_input_output_schemas: bool = True,\n./fastapi/_compat/main.py:271:    separate_input_output_schemas: bool = True,\n./fastapi/_compat/main.py:284:            separate_input_output_schemas=separate_input_output_schemas,\n./fastapi/_compat/main.py:295:                separate_input_output_schemas=separate_input_output_schemas,\n./fastapi/_compat/main.py:309:            separate_input_output_schemas=separate_input_output_schemas,\n./fastapi/_compat/main.py:322:    separate_input_output_schemas: bool = True,\n./fastapi/_compat/main.py:331:            separate_input_output_schemas=separate_input_output_schemas,\n./fastapi/_compat/main.py:341:            separate_input_output_schemas=separate_input_output_schemas,\n./fastapi/_compat/v2.py:181:    separate_input_output_schemas: bool = True,\n./fastapi/_compat/v2.py:184:        None if separate_input_output_schemas else \"validation\"\n./fastapi/_compat/v2.py:201:    separate_input_output_schemas: bool = True,\n./fastapi/_compat/v2.py:208:        None if separate_input_output_schemas else \"validation\"\n./fastapi/applications.py:791:        separate_input_output_schemas: Annotated[\n./fastapi/applications.py:875:        self.separate_input_output_schemas = separate_input_output_schemas\n./fastapi/applications.py:1078:                separate_input_output_schemas=self.separate_input_output_schemas,\n./fastapi/openapi/utils.py:102:    separate_input_output_schemas: bool = True,\n./fastapi/openapi/utils.py:133:                separate_input_output_schemas=separate_input_output_schemas,\n./fastapi/openapi/utils.py:175:    separate_input_output_schemas: bool = True,\n", "stderr": "grep: ./.git/index: binary file matches\n", "exit_code": 0}

{"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'"}

{"status": "ok", "filepath": "fastapi/openapi/utils.py", "content": "import http.client\nimport inspect\nimport warnings\nfrom typing import Any, Dict, List, Optional, Sequence, Set, Tuple, Type, Union, cast\n\nfrom fastapi import routing\nfrom fastapi._compat import (\n    JsonSchemaValue,\n    ModelField,\n    Undefined,\n    get_compat_model_name_map,\n    get_definitions,\n    get_schema_from_model_field,\n    lenient_issubclass,\n)\nfrom fastapi.datastructures import DefaultPlaceholder\nfrom fastapi.dependencies.models import Dependant\nfrom fastapi.dependencies.utils import (\n    _get_flat_fields_from_params,\n    get_flat_dependant,\n    get_flat_params,\n)\nfrom fastapi.encoders import jsonable_encoder\nfrom fastapi.openapi.constants import METHODS_WITH_BODY, REF_PREFIX\nfrom fastapi.openapi.models import OpenAPI\nfrom fastapi.params import Body, ParamTypes\nfrom fastapi.responses import Response\nfrom fastapi.types import ModelNameMap\nfrom fastapi.utils import (\n    deep_dict_update,\n    generate_operation_id_for_path,\n    is_body_allowed_for_status_code,\n)\nfrom pydantic import BaseModel\nfrom starlette.responses import JSONResponse\nfrom starlette.routing import BaseRoute\nfrom typing_extensions import Literal\n\nfrom .._compat import _is_model_field\n\nvalidation_error_definition = {\n    \"title\": \"ValidationError\",\n    \"type\": \"object\",\n    \"properties\": {\n        \"loc\": {\n            \"title\": \"Location\",\n            \"type\": \"array\",\n            \"items\": {\"anyOf\": [{\"type\": \"string\"}, {\"type\": \"integer\"}]},\n        },\n        \"msg\": {\"title\": \"Message\", \"type\": \"string\"},\n        \"type\": {\"title\": \"Error Type\", \"type\": \"string\"},\n    },\n    \"required\": [\"loc\", \"msg\", \"type\"],\n}\n\nvalidation_error_response_definition = {\n    \"title\": \"HTTPValidationError\",\n    \"type\": \"object\",\n    \"properties\": {\n        \"detail\": {\n            \"title\": \"Detail\",\n       

{"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'"}

{"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'"}

{"status": "ok", "stdout": "/workspace/fastapi/openapi/utils.py\n", "stderr": "", "exit_code": 0}

{"status": "ok", "filepath": "fastapi/openapi/utils.py", "content": "import http.client\nimport inspect\nimport warnings\nfrom typing import Any, Dict, List, Optional, Sequence, Set, Tuple, Type, Union, cast\n\nfrom fastapi import routing\nfrom fastapi._compat import (\n    JsonSchemaValue,\n    ModelField,\n    Undefined,\n    get_compat_model_name_map,\n    get_definitions,\n    get_schema_from_model_field,\n    lenient_issubclass,\n)\nfrom fastapi.datastructures import DefaultPlaceholder\nfrom fastapi.dependencies.models import Dependant\nfrom fastapi.dependencies.utils import (\n    _get_flat_fields_from_params,\n    get_flat_dependant,\n    get_flat_params,\n)\nfrom fastapi.encoders import jsonable_encoder\nfrom fastapi.openapi.constants import METHODS_WITH_BODY, REF_PREFIX\nfrom fastapi.openapi.models import OpenAPI\nfrom fastapi.params import Body, ParamTypes\nfrom fastapi.responses import Response\nfrom fastapi.types import ModelNameMap\nfrom fastapi.utils import (\n    deep_dict_update,\n    generate_operation_id_for_path,\n    is_body_allowed_for_status_code,\n)\nfrom pydantic import BaseModel\nfrom starlette.responses import JSONResponse\nfrom starlette.routing import BaseRoute\nfrom typing_extensions import Literal\n\nfrom .._compat import _is_model_field\n\nvalidation_error_definition = {\n    \"title\": \"ValidationError\",\n    \"type\": \"object\",\n    \"properties\": {\n        \"loc\": {\n            \"title\": \"Location\",\n            \"type\": \"array\",\n            \"items\": {\"anyOf\": [{\"type\": \"string\"}, {\"type\": \"integer\"}]},\n        },\n        \"msg\": {\"title\": \"Message\", \"type\": \"string\"},\n        \"type\": {\"title\": \"Error Type\", \"type\": \"string\"},\n    },\n    \"required\": [\"loc\", \"msg\", \"type\"],\n}\n\nvalidation_error_response_definition = {\n    \"title\": \"HTTPValidationError\",\n    \"type\": \"object\",\n    \"properties\": {\n        \"detail\": {\n            \"title\": \"Detail\",\n       

{"status": "ok", "stdout": "181:    separate_input_output_schemas: bool = True,\n184:        None if separate_input_output_schemas else \"validation\"\n201:    separate_input_output_schemas: bool = True,\n208:        None if separate_input_output_schemas else \"validation\"\n", "stderr": "", "exit_code": 0}

{"status": "ok", "filepath": "fastapi/_compat/v2.py", "content": "import re\nimport warnings\nfrom copy import copy, deepcopy\nfrom dataclasses import dataclass\nfrom enum import Enum\nfrom typing import (\n    Any,\n    Dict,\n    List,\n    Sequence,\n    Set,\n    Tuple,\n    Type,\n    Union,\n    cast,\n)\n\nfrom fastapi._compat import may_v1, shared\nfrom fastapi.openapi.constants import REF_TEMPLATE\nfrom fastapi.types import IncEx, ModelNameMap\nfrom pydantic import BaseModel, TypeAdapter, create_model\nfrom pydantic import PydanticSchemaGenerationError as PydanticSchemaGenerationError\nfrom pydantic import PydanticUndefinedAnnotation as PydanticUndefinedAnnotation\nfrom pydantic import ValidationError as ValidationError\nfrom pydantic._internal._schema_generation_shared import (  # type: ignore[attr-defined]\n    GetJsonSchemaHandler as GetJsonSchemaHandler,\n)\nfrom pydantic._internal._typing_extra import eval_type_lenient\nfrom pydantic._internal._utils import lenient_issubclass as lenient_issubclass\nfrom pydantic.fields import FieldInfo as FieldInfo\nfrom pydantic.json_schema import GenerateJsonSchema as GenerateJsonSchema\nfrom pydantic.json_schema import JsonSchemaValue as JsonSchemaValue\nfrom pydantic_core import CoreSchema as CoreSchema\nfrom pydantic_core import PydanticUndefined, PydanticUndefinedType\nfrom pydantic_core import Url as Url\nfrom typing_extensions import Annotated, Literal, get_args, get_origin\n\ntry:\n    from pydantic_core.core_schema import (\n        with_info_plain_validator_function as with_info_plain_validator_function,\n    )\nexcept ImportError:  # pragma: no cover\n    from pydantic_core.core_schema import (\n        general_plain_validator_function as with_info_plain_validator_function,  # noqa: F401\n    )\n\nRequiredParam = PydanticUndefined\nUndefined = PydanticUndefined\nUndefinedType = PydanticUndefinedType\nevaluate_forwardref = eval_type_lenient\nValidator = Any\n\n\nclass BaseConfig:\n    pass\n\n\nclass ErrorWr

{"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'"}

{"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'"}

{"status": "ok", "stdout": "181:    separate_input_output_schemas: bool = True,\n184:        None if separate_input_output_schemas else \"validation\"\n201:    separate_input_output_schemas: bool = True,\n208:        None if separate_input_output_schemas else \"validation\"\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "def _get_model_config(model: BaseModel) -> Any:\n    return model.model_config\n\n\ndef get_schema_from_model_field(\n    *,\n    field: ModelField,\n    model_name_map: ModelNameMap,\n    field_mapping: Dict[\n        Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue\n    ],\n    separate_input_output_schemas: bool = True,\n) -> Dict[str, Any]:\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n    # This expects that GenerateJsonSchema was already used to generate the definitions\n    json_schema = field_mapping[(field, override_mode or field.mode)]\n    if \"$ref\" not in json_schema:\n        # TODO remove when deprecating Pydantic v1\n        # Ref: https://github.com/pydantic/pydantic/blob/d61792cc42c80b13b23e3ffa74bc37ec7c77f7d1/pydantic/schema.py#L207\n        json_schema[\"title\"] = field.field_info.title or field.alias.title().replace(\n            \"_\", \" \"\n        )\n    return json_schema\n\n\ndef get_definitions(\n    *,\n    fields: Sequence[ModelField],\n    model_name_map: ModelNameMap,\n    separate_input_output_schemas: bool = True,\n) -> Tuple[\n    Dict[Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue],\n    Dict[str, Dict[str, Any]],\n]:\n    schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n    validation_fields = [field for field in fields if field.mode == \"validation\"]\n    serialization_fields = [field for field in fields if field.mode == \"serialization\"]\n    flat_validation_models = get_flat_models_from_fields(\n        validation_fields, known_models=set()\n    )\n    flat_serialization_models = get_flat_models_from_fields(\n        serialization_fields, known_models=set()\n    )\n    flat_validation_model_field

{"status": "ok", "stdout": "    model_name_map: ModelNameMap,\n    separate_input_output_schemas: bool = True,\n) -> Tuple[\n    Dict[Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue],\n    Dict[str, Dict[str, Any]],\n]:\n    schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n    validation_fields = [field for field in fields if field.mode == \"validation\"]\n    serialization_fields = [field for field in fields if field.mode == \"serialization\"]\n    flat_validation_models = get_flat_models_from_fields(\n        validation_fields, known_models=set()\n    )\n    flat_serialization_models = get_flat_models_from_fields(\n        serialization_fields, known_models=set()\n    )\n    flat_validation_model_fields = [\n        ModelField(\n            field_info=FieldInfo(annotation=model),\n            name=model.__name__,\n            mode=\"validation\",\n        )\n        for model in flat_validation_models\n    ]\n    flat_serialization_model_fields = [\n        ModelField(\n            field_info=FieldInfo(annotation=model),\n            name=model.__name__,\n            mode=\"serialization\",\n        )\n        for model in flat_serialization_models\n    ]\n    flat_model_fields = flat_validation_model_fields + flat_serialization_model_fields\n    input_types = {f.type_ for f in fields}\n    unique_flat_model_fields = {\n        f for f in flat_model_fields if f.type_ not in input_types\n    }\n\n    inputs = [\n        (field, override_mode or field.mode, field._type_adapter.core_schema)\n        for field in list(fields) + list(unique_flat_model_fields)\n    ]\n    field_mapping, definitions = schema_generator.generate_definitions(inputs=inputs)\n    for item_def in cast(Dict[str, Dict[str, Any]], definitions).values():\n        if \"description\" in item_def:\n            item_descr

{"status": "ok", "stdout": "Item schema properties: {'name': {'type': 'string', 'title': 'Name'}, 'price': {'type': 'number', 'title': 'Price'}}\nTest failed: Computed field 'total' missing from OpenAPI schema when separate_input_output_schemas=False\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    model_name_map: ModelNameMap,\n    separate_input_output_schemas: bool = True,\n) -> Tuple[\n    Dict[Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue],\n    Dict[str, Dict[str, Any]],\n]:\n    schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n    validation_fields = [field for field in fields if field.mode == \"validation\"]\n    serialization_fields = [field for field in fields if field.mode == \"serialization\"]\n    flat_validation_models = get_flat_models_from_fields(\n        validation_fields, known_models=set()\n    )\n    flat_serialization_models = get_flat_models_from_fields(\n        serialization_fields, known_models=set()\n    )\n    flat_validation_model_fields = [\n        ModelField(\n            field_info=FieldInfo(annotation=model),\n            name=model.__name__,\n            mode=\"validation\",\n        )\n        for model in flat_validation_models\n    ]\n    flat_serialization_model_fields = [\n        ModelField(\n            field_info=FieldInfo(annotation=model),\n            name=model.__name__,\n            mode=\"serialization\",\n        )\n        for model in flat_serialization_models\n    ]\n    flat_model_fields = flat_validation_model_fields + flat_serialization_model_fields\n    input_types = {f.type_ for f in fields}\n    unique_flat_model_fields = {\n        f for f in flat_model_fields if f.type_ not in input_types\n    }\n\n    inputs = [\n        (field, override_mode or field.mode, field._type_adapter.core_schema)\n        for field in list(fields) + list(unique_flat_model_fields)\n    ]\n    field_mapping, definitions = schema_generator.generate_definitions(inputs=inputs)\n    for item_def in cast(Dict[str, Dict[str, Any]], definitions).values():\n        if \"description\" in item_def:\n            item_descr

{"status": "ok", "stdout": "0.123.3\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "183:    override_mode: Union[Literal[\"validation\"], None] = (\n187:    json_schema = field_mapping[(field, override_mode or field.mode)]\n207:    override_mode: Union[Literal[\"validation\"], None] = (\n241:        (field, override_mode or field.mode, field._type_adapter.core_schema)\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    model_name_map: ModelNameMap,\n    separate_input_output_schemas: bool = True,\n) -> Tuple[\n    Dict[Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue],\n    Dict[str, Dict[str, Any]],\n]:\n    schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n    validation_fields = [field for field in fields if field.mode == \"validation\"]\n    serialization_fields = [field for field in fields if field.mode == \"serialization\"]\n    flat_validation_models = get_flat_models_from_fields(\n        validation_fields, known_models=set()\n    )\n    flat_serialization_models = get_flat_models_from_fields(\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "2.13.5\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    ],\n    separate_input_output_schemas: bool = True,\n) -> Dict[str, Any]:\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n    # This expects that GenerateJsonSchema was already used to generate the definitions\n    json_schema = field_mapping[(field, override_mode or field.mode)]\n    if \"$ref\" not in json_schema:\n        # TODO remove when deprecating Pydantic v1\n        # Ref: https://github.com/pydantic/pydantic/blob/d61792cc42c80b13b23e3ffa74bc37ec7c77f7d1/pydantic/schema.py#L207\n", "stderr": "", "exit_code": 0}

{"status": "error", "error_type": "CommandError", "error_message": "  File \"<string>\", line 1\n    import pydantic; from pydantic import BaseModel, computed_field; class Item(BaseModel): name: str; @computed_field @property def total(self): return 1; print(Item.model_json_schema())\n                                                                     ^^^^^\nSyntaxError: invalid syntax\n", "details": {"stdout": "", "stderr": "  File \"<string>\", line 1\n    import pydantic; from pydantic import BaseModel, computed_field; class Item(BaseModel): name: str; @computed_field @property def total(self): return 1; print(Item.model_json_schema())\n                                                                     ^^^^^\nSyntaxError: invalid syntax\n", "exit_code": 1}}

{"status": "ok", "stdout": "{'properties': {'name': {'title': 'Name', 'type': 'string'}}, 'required': ['name'], 'title': 'Item', 'type': 'object'}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "{'properties': {'name': {'title': 'Name', 'type': 'string'}, 'total': {'readOnly': True, 'title': 'Total', 'type': 'integer'}}, 'required': ['name', 'total'], 'title': 'Item', 'type': 'object'}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "{'properties': {'name': {'title': 'Name', 'type': 'string'}}, 'required': ['name'], 'title': 'Item', 'type': 'object'}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    model_name_map: ModelNameMap,\n    separate_input_output_schemas: bool = True,\n) -> Tuple[\n    Dict[Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue],\n    Dict[str, Dict[str, Any]],\n]:\n    schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n    validation_fields = [field for field in fields if field.mode == \"validation\"]\n    serialization_fields = [field for field in fields if field.mode == \"serialization\"]\n    flat_validation_models = get_flat_models_from_fields(\n        validation_fields, known_models=set()\n    )\n    flat_serialization_models = get_flat_models_from_fields(\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    model_name_map: ModelNameMap,\n    separate_input_output_schemas: bool = True,\n) -> Tuple[\n    Dict[Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue],\n    Dict[str, Dict[str, Any]],\n]:\n    schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n    validation_fields = [field for field in fields if field.mode == \"validation\"]\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    ],\n    separate_input_output_schemas: bool = True,\n) -> Dict[str, Any]:\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n    # This expects that GenerateJsonSchema was already used to generate the definitions\n    json_schema = field_mapping[(field, override_mode or field.mode)]\n    if \"$ref\" not in json_schema:\n        # TODO remove when deprecating Pydantic v1\n        # Ref: https://github.com/pydantic/pydantic/blob/d61792cc42c80b13b23e3ffa74bc37ec7c77f7d1/pydantic/schema.py#L207\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    inputs = [\n        (field, override_mode or field.mode, field._type_adapter.core_schema)\n        for field in list(fields) + list(unique_flat_model_fields)\n    ]\n    field_mapping, definitions = schema_generator.generate_definitions(inputs=inputs)\n    for item_def in cast(Dict[str, Dict[str, Any]], definitions).values():\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "{'properties': {'name': {'title': 'Name', 'type': 'string'}, 'total': {'readOnly': True, 'title': 'Total', 'type': 'integer'}}, 'required': ['name', 'total'], 'title': 'Item', 'type': 'object'}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "{'properties': {'name': {'title': 'Name', 'type': 'string'}}, 'required': ['name'], 'title': 'Item', 'type': 'object'}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "]:\n    schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n    validation_fields = [field for field in fields if field.mode == \"validation\"]\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    ],\n    separate_input_output_schemas: bool = True,\n) -> Dict[str, Any]:\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    inputs = [\n        (field, override_mode or field.mode, field._type_adapter.core_schema)\n        for field in list(fields) + list(unique_flat_model_fields)\n    ]\n    field_mapping, definitions = schema_generator.generate_definitions(inputs=inputs)\n    for item_def in cast(Dict[str, Dict[str, Any]], definitions).values():\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "{'properties': {'name': {'title': 'Name', 'type': 'string'}, 'total': {'readOnly': True, 'title': 'Total', 'type': 'integer'}}, 'required': ['name', 'total'], 'title': 'Item', 'type': 'object'}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "{'properties': {'name': {'title': 'Name', 'type': 'string'}}, 'required': ['name'], 'title': 'Item', 'type': 'object'}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "]:\n    schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n    validation_fields = [field for field in fields if field.mode == \"validation\"]\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    ],\n    separate_input_output_schemas: bool = True,\n) -> Dict[str, Any]:\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    inputs = [\n        (field, override_mode or field.mode, field._type_adapter.core_schema)\n        for field in list(fields) + list(unique_flat_model_fields)\n    ]\n    field_mapping, definitions = schema_generator.generate_definitions(inputs=inputs)\n    for item_def in cast(Dict[str, Dict[str, Any]], definitions).values():\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "{'properties': {'name': {'title': 'Name', 'type': 'string'}, 'total': {'readOnly': True, 'title': 'Total', 'type': 'integer'}}, 'required': ['name', 'total'], 'title': 'Item', 'type': 'object'}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "{'properties': {'name': {'title': 'Name', 'type': 'string'}}, 'required': ['name'], 'title': 'Item', 'type': 'object'}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "]:\n    schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n    validation_fields = [field for field in fields if field.mode == \"validation\"]\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    ],\n    separate_input_output_schemas: bool = True,\n) -> Dict[str, Any]:\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    inputs = [\n        (field, override_mode or field.mode, field._type_adapter.core_schema)\n        for field in list(fields) + list(unique_flat_model_fields)\n    ]\n    field_mapping, definitions = schema_generator.generate_definitions(inputs=inputs)\n    for item_def in cast(Dict[str, Dict[str, Any]], definitions).values():\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "{'properties': {'name': {'title': 'Name', 'type': 'string'}, 'total': {'readOnly': True, 'title': 'Total', 'type': 'integer'}}, 'required': ['name', 'total'], 'title': 'Item', 'type': 'object'}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "{'properties': {'name': {'title': 'Name', 'type': 'string'}}, 'required': ['name'], 'title': 'Item', 'type': 'object'}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "]:\n    schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n    validation_fields = [field for field in fields if field.mode == \"validation\"]\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    ],\n    separate_input_output_schemas: bool = True,\n) -> Dict[str, Any]:\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n", "stderr": "", "exit_code": 0, "budget_warning": "Only 10 tool call(s) remaining (50/60 used). Finalize your edits and call submit_patch soon."}

{"status": "ok", "stdout": "    inputs = [\n        (field, override_mode or field.mode, field._type_adapter.core_schema)\n        for field in list(fields) + list(unique_flat_model_fields)\n    ]\n    field_mapping, definitions = schema_generator.generate_definitions(inputs=inputs)\n    for item_def in cast(Dict[str, Dict[str, Any]], definitions).values():\n", "stderr": "", "exit_code": 0, "budget_warning": "Only 9 tool call(s) remaining (51/60 used). Finalize your edits and call submit_patch soon."}

{"status": "ok", "stdout": "{'properties': {'name': {'title': 'Name', 'type': 'string'}, 'total': {'readOnly': True, 'title': 'Total', 'type': 'integer'}}, 'required': ['name', 'total'], 'title': 'Item', 'type': 'object'}\n", "stderr": "", "exit_code": 0, "budget_warning": "Only 8 tool call(s) remaining (52/60 used). Finalize your edits and call submit_patch soon."}

{"status": "ok", "stdout": "{'properties': {'name': {'title': 'Name', 'type': 'string'}}, 'required': ['name'], 'title': 'Item', 'type': 'object'}\n", "stderr": "", "exit_code": 0, "budget_warning": "Only 7 tool call(s) remaining (53/60 used). Finalize your edits and call submit_patch soon."}

{"status": "ok", "stdout": "]:\n    schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n    validation_fields = [field for field in fields if field.mode == \"validation\"]\n", "stderr": "", "exit_code": 0, "budget_warning": "Only 6 tool call(s) remaining (54/60 used). Finalize your edits and call submit_patch soon."}

{"status": "ok", "stdout": "    ],\n    separate_input_output_schemas: bool = True,\n) -> Dict[str, Any]:\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n", "stderr": "", "exit_code": 0, "budget_warning": "Only 5 tool call(s) remaining (55/60 used). Finalize your edits and call submit_patch soon."}

{"status": "ok", "stdout": "    inputs = [\n        (field, override_mode or field.mode, field._type_adapter.core_schema)\n        for field in list(fields) + list(unique_flat_model_fields)\n    ]\n    field_mapping, definitions = schema_generator.generate_definitions(inputs=inputs)\n    for item_def in cast(Dict[str, Dict[str, Any]], definitions).values():\n", "stderr": "", "exit_code": 0, "budget_warning": "Only 4 tool call(s) remaining (56/60 used). Finalize your edits and call submit_patch soon."}