# Requirements for NumPy 1.x
numpy ~= 1.26.0
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
# Note that here we want the latest version that matches TF major.minor version

A. Unique TensorFlower <******@****.***> 1773148640 -0700

Quoc Truong <******@****.***> 1761853730 -0700

A. Unique TensorFlower <******@****.***> 1756942248 -0700

    class Tester {}

    TesterRequirements requirements = buildTesterRequirements(Tester.class);

    assertThat(requirements.getPresentFeatures()).isEmpty();
    assertThat(requirements.getAbsentFeatures()).isEmpty();
  }

  public void testBuildTesterRequirements_class_empty() throws Exception {
    @Require
    class Tester {}

    TesterRequirements requirements = buildTesterRequirements(Tester.class);

  grep -v "twine" $REQUIREMENTS > requirements_without_twine.txt
  REQUIREMENTS=requirements_without_twine.txt
fi

# Disable the cache dir to save image space, and install packages

    class Tester {}

    TesterRequirements requirements = buildTesterRequirements(Tester.class);

    assertThat(requirements.getPresentFeatures()).isEmpty();
    assertThat(requirements.getAbsentFeatures()).isEmpty();
  }

  public void testBuildTesterRequirements_class_empty() throws Exception {
    @Require
    class Tester {}

    TesterRequirements requirements = buildTesterRequirements(Tester.class);

        public List<org.apache.maven.api.Toolchain> getToolchains(
                @Nonnull Session session, @Nonnull String type, @Nullable Map<String, String> requirements)
                throws ToolchainManagerException {
            return getDelegate().getToolchains(session, type, requirements);
        }

        @Nonnull
        @Override
        public Optional<org.apache.maven.api.Toolchain> getToolchainFromBuildContext(

    srcs = [
        "nvidia-requirements.txt",
        "requirements.in",
        ":nvidia_constraints",
    ],
    extra_args = [
        "--allow-unsafe",
        "--build-isolation",
        "--rebuild",
        "-c $(location :nvidia_constraints)",
    ],
    generate_hashes = True,
    requirements_txt = REQUIREMENTS,

///

## Dependencies errors and return values { #dependencies-errors-and-return-values }

You can use the same dependency *functions* you use normally.

### Dependency requirements { #dependency-requirements }

They can declare request requirements (like headers) or other sub-dependencies:

{* ../../docs_src/dependencies/tutorial006_an_py310.py hl[8,13] *}

### Raise exceptions { #raise-exceptions }