# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

# Note that numpy 2.1.0 does not support python 3.9
numpy >= 2.0.0, < 2.2.0
wheel ~= 0.41.2
h5py >= 3.11.0, < 3.15.0
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras

  public void testHtmlEscaper() throws Exception {
    assertEquals("xxx", htmlEscaper().escape("xxx"));
    assertEquals(""test"", htmlEscaper().escape("\"test\""));
    assertEquals("'test'", htmlEscaper().escape("'test'"));
    assertEquals("test & test & test", htmlEscaper().escape("test & test & test"));
    assertEquals("test &lt;&lt; 1", htmlEscaper().escape("test << 1"));

              }
            }
          }
        }
      }
    }
  }
}

boolean isDeployedBranch() {
  return env.BRANCH_NAME == 'master' || env.BRANCH_NAME == 'maven-4.0.x' || env.BRANCH_NAME == 'maven-3.9.x'
}

/**
 * To other developers, if you are using this method above, please use the following syntax.
 * By default this method does NOT execute ITs anymore, just "install".
 *

Hier ist eine allgemeine Idee, wie die Modelle mit ihren Passwortfeldern aussehen könnten und an welchen Stellen sie verwendet werden:

{* ../../docs_src/extra_models/tutorial001_py310.py hl[7,9,14,20,22,27:28,31:33,38:39] *}

### Über `**user_in.model_dump()` { #about-user-in-model-dump }

#### Pydantics `.model_dump()` { #pydantics-model-dump }

`user_in` ist ein Pydantic-Modell der Klasse `UserIn`.

Ниже изложена основная идея того, как могут выглядеть эти модели с полями для паролей, а также описаны места, где они используются:

{* ../../docs_src/extra_models/tutorial001_py310.py hl[7,9,14,20,22,27:28,31:33,38:39] *}

/// info | Информация

В Pydantic v1 метод назывался `.dict()`, в Pydantic v2 он помечен как устаревший (но всё ещё поддерживается) и переименован в `.model_dump()`.

	_ = x[HandlerLoadPolicyMapping-33]
	_ = x[HandlerDeleteServiceAccount-34]
	_ = x[HandlerLoadServiceAccount-35]
	_ = x[HandlerDeleteUser-36]
	_ = x[HandlerLoadUser-37]
	_ = x[HandlerLoadGroup-38]
	_ = x[HandlerHealBucket-39]
	_ = x[HandlerMakeBucket-40]
	_ = x[HandlerHeadBucket-41]
	_ = x[HandlerDeleteBucket-42]
	_ = x[HandlerGetMetrics-43]
	_ = x[HandlerGetResourceMetrics-44]
	_ = x[HandlerGetMemInfo-45]
	_ = x[HandlerGetProcInfo-46]

Aqui está uma ideia geral de como os modelos poderiam parecer com seus campos de senha e os lugares onde são usados:

{* ../../docs_src/extra_models/tutorial001_py310.py hl[7,9,14,20,22,27:28,31:33,38:39] *}

/// info | Informação

No Pydantic v1 o método se chamava `.dict()`, ele foi descontinuado (mas ainda é suportado) no Pydantic v2 e renomeado para `.model_dump()`.

//// tab | Python 3.9+

```Python hl_lines="1"
async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]):
    return {"fresh_value": fresh_value}
```

////

//// tab | Python 3.9+ без Annotated

/// tip | Подсказка

Предпочтительнее использовать версию с аннотацией, если это возможно.

#
# Maven central repository URL.
#
maven.repo.central = ${env.MAVEN_REPO_CENTRAL:-https://repo.maven.apache.org/maven2}

#
# Maven Resolver Configuration
#
# Align locking to the same as in Maven 3.9.x