#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
  delete server;
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
}

void TF_RegisterLogListener(void (*listener)(const char*)) {
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
  tensorflow::logging::RegisterListener(listener);
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
}

        final String delim = NumberConversionUtil.findDecimalSeparator(Locale.JAPAN);
        assertEquals(".", delim);
    }

    /**
     * @throws Exception
     */
    public void testFindFractionDelimeter2() throws Exception {
        final String delim = NumberConversionUtil.findDecimalSeparator(Locale.FRANCE);
        assertEquals(",", delim);
    }

    /**
     * @throws Exception

        "Tensor expected to have rank 2 found rank: ", shape.dims());
  }
  int64_t dim_sizes[] = {2, 4};
  for (int i = 0; i < shape.dims(); i++) {
    if (shape.dim_size(i) != dim_sizes[i]) {
      return errors::InvalidArgument("Dim ", i, " expected to be of size ",
                                     dim_sizes[i],
                                     " found: ", shape.dim_size(i));
    }
  }
  return absl::OkStatus();
}

        "_internal-slim-build"
    ]["packages"][TIANGOLO_BUILD_PACKAGE]
    project_config: Dict[str, Any] = config["project"]
    # Get main optional dependencies, extras
    optional_dependencies: Dict[str, List[str]] = metadata.get(
        "optional-dependencies", {}
    )
    # Get custom optional dependencies name to always include in this (non-slim) package

  auto num_dims_analytical = TF_NumDims(analytical_tensor);
  ASSERT_EQ(dims.size(), num_dims_analytical);
  for (int j = 0; j < num_dims_analytical; j++) {
    auto dim_analytical = TF_Dim(analytical_tensor, j);
    ASSERT_EQ(dims[j], dim_analytical);
    num_elem_analytical *= dim_analytical;
  }

  float* danalytical = new float[num_elem_analytical]{0};
  memcpy(&danalytical[0], TF_TensorData(analytical_tensor),

    "scripts/",
    # For a test
    "docs/en/docs/img/favicon.png",
    ]

[tool.tiangolo._internal-slim-build.packages.fastapi-slim.project]
name = "fastapi-slim"

[tool.tiangolo._internal-slim-build.packages.fastapi]
include-optional-dependencies = ["standard"]

[tool.tiangolo._internal-slim-build.packages.fastapi.project.optional-dependencies]
all = [
    # # For the test client
    "httpx >=0.23.0",

// for the first time.
TF_Library* TF_LoadPluggableDeviceLibrary(const char* library_filename,
                                          TF_Status* status) {
#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)
  status->status = tensorflow::errors::Unimplemented(
      "PluggableDevice plugin functionality is not supported on mobile");
  return nullptr;
#else
  TF_Library* lib_handle = new TF_Library;

p!.&gro?lim?moc?pooc?ten?ude?vog???r&e&corg?grus?llag?viled??lewej?otcerid?tnuoc?uxul??s!.&gro?lim?moc?ten?ude?vog??pil??t&efas?i&c?ledif?nummoc!.&bdnevar,gon,murofym,??r&ahc?uces??srevinu??laer?r&ap!.oby,?eporp??uaeb??u!.&bug?gro?lim?moc!.topsgolb,?ten?ude??b!tseb???van?xes??z&a!.&eman?gro?lim?moc?o&fni?rp??pp?t&en?ni??ude?vog?zib???b!.&az,gro?jsg,moc?ten?ude?vog???c!.&4e,inum.duolc.&rsu,tlf,?m&laer,urtnecatem.motsuc,?oc,topsgolb,??d!.&cos?gro?lop?m&oc?t??ossa?t&en?ra??ude?vog???ib!.&duolcsd,e&...

  pull_request:
    types:
      - opened
      - synchronize

jobs:
  test-redistribute:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        package:
          - fastapi
          - fastapi-slim
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v4
      - name: Set up Python

  }
  auto imm_ctx = dyn_cast<ImmediateExecutionContext>(ctx);
  AbstractTensorPtr minus_1(imm_ctx->CreateInt32Scalar(-1));
  ImmediateTensorHandlePtr dim(imm_ctx->CreateLocalHandle(minus_1.get()));
  AbstractTensorHandle* expand_dims_outputs;
  TF_RETURN_IF_ERROR(
      ops::ExpandDims(ctx, vec, dim.get(), &expand_dims_outputs, "ExpandDims"));
  TF_RETURN_IF_ERROR(
      ops::Mul(ctx, expand_dims_outputs, mat, &outputs[0], "Mul"));