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tests/test_validate_response_recursive/app_pv1.py
def get_recursive(): return {"name": "item", "sub_items": [{"name": "subitem", "sub_items": []}]} @app.get("/items/recursive-submodel", response_model=RecursiveItemViaSubmodel) def get_recursive_submodel(): return { "name": "item", "sub_items1": [ { "name": "subitem", "sub_items2": [ {
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Fri Jul 07 17:12:13 UTC 2023 - 1.1K bytes - Viewed (0) -
tests/test_validate_response_recursive/test_validate_response_recursive_pv1.py
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Fri Jul 07 17:12:13 UTC 2023 - 900 bytes - Viewed (0) -
tests/test_validate_response_recursive/app_pv2.py
def get_recursive(): return {"name": "item", "sub_items": [{"name": "subitem", "sub_items": []}]} @app.get("/items/recursive-submodel", response_model=RecursiveItemViaSubmodel) def get_recursive_submodel(): return { "name": "item", "sub_items1": [ { "name": "subitem", "sub_items2": [ {
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Fri Jul 07 17:12:13 UTC 2023 - 1.2K bytes - Viewed (0) -
tests/test_validate_response_recursive/test_validate_response_recursive_pv2.py
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Fri Jul 07 17:12:13 UTC 2023 - 900 bytes - Viewed (0) -
tests/test_dependency_duplicates.py
async def no_duplicates(item: Item, item2: Item = Depends(dependency)): return [item, item2] @app.post("/with-duplicates-sub") async def no_duplicates_sub( item: Item, sub_items: List[Item] = Depends(sub_duplicate_dependency) ): return [item, sub_items] def test_no_duplicates_invalid(): response = client.post("/no-duplicates", json={"item": {"data": "myitem"}}) assert response.status_code == 422, response.text
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Thu Apr 18 19:40:57 UTC 2024 - 8.4K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
done.Notify(); }); done.WaitForNotification(); } TF_ShapeAndTypeList* TF_NewShapeAndTypeList(int num_items) { TF_ShapeAndTypeList* result = new TF_ShapeAndTypeList; result->num_items = num_items; result->items = (num_items == 0) ? nullptr : new TF_ShapeAndType[num_items](); return result; } void TF_ShapeAndTypeListSetShape(TF_ShapeAndTypeList* shape_list, int index,
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 16:27:48 UTC 2024 - 29.5K bytes - Viewed (0) -
tests/test_openapi_separate_input_output_schemas.py
from .utils import PYDANTIC_V2, needs_pydanticv2 class SubItem(BaseModel): subname: str sub_description: Optional[str] = None tags: List[str] = [] if PYDANTIC_V2: model_config = {"json_schema_serialization_defaults_required": True} class Item(BaseModel): name: str description: Optional[str] = None sub: Optional[SubItem] = None if PYDANTIC_V2:
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sat Oct 12 09:44:57 UTC 2024 - 19.7K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.h
// The data type. May be 0 to denote unknown type. TF_DataType dtype; }; typedef struct TF_ShapeAndType TF_ShapeAndType; // A list of TF_ShapeAndType elements.. struct TF_ShapeAndTypeList { int num_items; TF_ShapeAndType* items; }; typedef struct TF_ShapeAndTypeList TF_ShapeAndTypeList; // API for manipulating TF_ShapeAndTypeList objects. // TF_CAPI_EXPORT extern TF_ShapeAndTypeList* TF_NewShapeAndTypeList(
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Thu Apr 27 21:07:00 UTC 2023 - 15.1K bytes - Viewed (0) -
tensorflow/c/c_api_experimental_test.cc
/*output_resource_shapes_and_types*/ nullptr, status_); CHECK_EQ(TF_OK, TF_GetCode(status_)) << TF_Message(status_); CHECK_EQ(output_shapes->num_items, 1); int num_dims = output_shapes->items[0].num_dims; int64_t* dims = output_shapes->items[0].dims; if (!expected_shape.has_value()) { EXPECT_EQ(num_dims, -1);
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Tue Jan 17 22:27:52 UTC 2023 - 13.1K bytes - Viewed (0)