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docs/pt/docs/alternatives.md
Ele foi uma das primeiras implementações de um framework usando Python _type hints_ para declarar parâmetros e requisições que eu nunca vi (antes no NestJS e Molten). Eu encontrei ele mais ou menos na mesma época que o Hug. Mas o APIStar utilizava o padrão OpenAPI. Ele tinha validação de dados automática, serialização de dados e geração de _schema_ OpenAPI baseado nos mesmos _type hints_ em vários locais.
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 20 19:20:23 UTC 2024 - 25.5K bytes - Viewed (0) -
src/main/java/org/codelibs/fess/app/web/admin/backup/AdminBackupAction.java
Registered: Thu Oct 31 13:40:30 UTC 2024 - Last Modified: Sat Oct 12 01:54:46 UTC 2024 - 28.5K bytes - Viewed (0) -
src/main/java/org/codelibs/fess/suggest/util/SuggestUtil.java
} public static String createBulkLine(final String index, final String type, final SuggestItem item) { final Map<String, Object> firstLineMap = new HashMap<>(); final Map<String, Object> firstLineInnerMap = new HashMap<>(); firstLineInnerMap.put("_index", index); firstLineInnerMap.put("_type", type); firstLineInnerMap.put("_id", item.getId());
Registered: Fri Nov 08 09:08:12 UTC 2024 - Last Modified: Sat Oct 12 00:10:39 UTC 2024 - 11.7K bytes - Viewed (0) -
docs/pt/docs/index.md
**Código fonte**: <a href="https://github.com/fastapi/fastapi" target="_blank">https://github.com/fastapi/fastapi</a> --- FastAPI é um moderno e rápido (alta performance) _framework web_ para construção de APIs com Python, baseado nos _type hints_ padrões do Python. Os recursos chave são: * **Rápido**: alta performance, equivalente a **NodeJS** e **Go** (graças ao Starlette e Pydantic). [Um dos frameworks mais rápidos disponíveis](#performance).
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 20 19:20:23 UTC 2024 - 18.6K bytes - Viewed (0) -
src/cmd/cgo/gcc.go
func (p *Package) recordTypedefs(dtype dwarf.Type, pos token.Pos) { p.recordTypedefs1(dtype, pos, map[dwarf.Type]bool{}) } func (p *Package) recordTypedefs1(dtype dwarf.Type, pos token.Pos, visited map[dwarf.Type]bool) { if dtype == nil { return } if visited[dtype] { return } visited[dtype] = true switch dt := dtype.(type) { case *dwarf.TypedefType:
Registered: Tue Nov 05 11:13:11 UTC 2024 - Last Modified: Wed Sep 18 15:07:34 UTC 2024 - 97.1K bytes - Viewed (0) -
src/cmd/cgo/doc.go
Go struct types are not supported; use a C struct type. Go array types are not supported; use a C pointer. Go functions that take arguments of type string may be called with the C type _GoString_, described above. The _GoString_ type will be automatically defined in the preamble. Note that there is no way for C code to create a value of this type; this is only useful for passing string values from Go to C and back to Go.
Registered: Tue Nov 05 11:13:11 UTC 2024 - Last Modified: Tue Oct 01 22:52:54 UTC 2024 - 44K bytes - Viewed (0) -
tensorflow/c/c_api.cc
metadata.type = TF_ATTR_INT; } else if (typestr == "list(float)") { metadata.type = TF_ATTR_FLOAT; } else if (typestr == "list(bool)") { metadata.type = TF_ATTR_BOOL; } else if (typestr == "list(type)") { metadata.type = TF_ATTR_TYPE; } else if (typestr == "list(shape)") { metadata.type = TF_ATTR_SHAPE;
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 16:27:48 UTC 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/eager/dlpack.cc
owner->reference.Unref(); delete owner; } // Converts TF_DATAType to DLPack data type. DLDataType GetDlDataType(TF_DataType data_type, TF_Status* status) { DLDataType dtype; dtype.lanes = 1; dtype.bits = TF_DataTypeSize(data_type) * 8; switch (data_type) { case TF_DataType::TF_BOOL: dtype.code = DLDataTypeCode::kDLBool; break; case TF_DataType::TF_HALF: case TF_DataType::TF_FLOAT:
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 05:11:17 UTC 2024 - 12.9K bytes - Viewed (0) -
tensorflow/c/checkpoint_reader.cc
absl::Status status; if (reader_ != nullptr) { status = reader_->GetTensor(name, out_tensor); } else { tensorflow::DataType dtype; tensorflow::TensorShape shape; status = v2_reader_->LookupDtypeAndShape(name, &dtype, &shape); if (status.ok()) { out_tensor->reset(new Tensor(dtype, shape)); status = v2_reader_->Lookup(name, out_tensor->get()); if (!status.ok()) out_tensor->reset(); } }
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 16:27:48 UTC 2024 - 5.6K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
} if (TFE_TensorHandleDataType(component.get()) != dtype) { TF_SetStatus(status, TF_INTERNAL, "Components of a ParallelTensor must all have " "the same dtype"); return nullptr; } } return std::unique_ptr<ParallelTensor>( new ParallelTensor(parallel_device, std::move(components), shape, dtype)); }
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 21 04:14:14 UTC 2024 - 25.9K bytes - Viewed (0)