*status = handle.NumDims(&rank);
  if (!status->ok()) {
    return shape;
  }
  shape.reserve(rank);
  for (int i = 0; i < rank; ++i) {
    int64_t dim;
    *status = handle.Dim(i, &dim);
    if (!status->ok()) {
      return shape;
    }
    shape.push_back(dim);
  }
  return shape;
}

}  // namespace

extern "C" {

TF_CAPI_EXPORT extern TFE_TensorDebugInfo* TFE_TensorHandleTensorDebugInfo(

!.&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?sndym,ten?ude?vog???c!.&4e,9yxorptnetnoc.csr,inum.duolc.&rsu,tlf,?m&laer,urtnecatem.motsuc,?oc,topsgolb,??d!.&cos?gro?lop?m&oc?t??ossa?t&en?ra??ud...

!.&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?sndym,ten?ude?vog???c!.&4e,9yxorptnetnoc.csr,inum.duolc.&rsu,tlf,?m&laer,urtnecatem.motsuc,?oc,topsgolb,??d!.&cos?gro?lop?m&oc?t??ossa?t&en?ra??ud...

// ReadBytes reads until the first occurrence of delim in the input,
// returning a slice containing the data up to and including the delimiter.
// If ReadBytes encounters an error before finding a delimiter,
// it returns the data read before the error and the error itself (often [io.EOF]).
// ReadBytes returns err != nil if and only if the returned data does not end in
// delim.
func (b *Buffer) ReadBytes(delim byte) (line []byte, err error) {

    metadata = context.config.metadata
    # Get custom config for the current package, from the env var
    config: Dict[str, Any] = context.config.data["tool"]["tiangolo"][
        "_internal-slim-build"
    ]["packages"].get(TIANGOLO_BUILD_PACKAGE)
    if not config:
        return
    project_config: Dict[str, Any] = config["project"]
    # Override main [project] configs with custom configs for this package

name: Publish

on:
  release:
    types:
      - created

jobs:
  publish:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        package:
          - fastapi
          - fastapi-slim
    permissions:
      id-token: write
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v4

source-includes = [
    "tests/",
    "docs_src/",
    "requirements*.txt",
    "scripts/",
    # For a test
    "docs/en/docs/img/favicon.png",
    ]

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

[tool.mypy]
strict = true

[[tool.mypy.overrides]]
module = "fastapi.concurrency"
warn_unused_ignores = false
ignore_missing_imports = true

  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

  // ImmediateExecutionTensorHandles, but comes up for example when computing
  // the shape of a parallel tensor with component shapes differing across
  // devices.
  virtual absl::Status Dim(int dim_index, int64_t* dim) const = 0;

  // Returns the device which created the handle.
  virtual const char* DeviceName(absl::Status* status) const = 0;
  // Returns the device where the tensor was placed.

  if (h == nullptr) {
    status->status = tensorflow::errors::InvalidArgument("Invalid handle");
    return -1;
  }

  int64_t dim = -1;
  status->status = tensorflow::unwrap(h)->Dim(dim_index, &dim);
  return dim;
}

const char* TFE_TensorHandleDeviceName(TFE_TensorHandle* h, TF_Status* status) {
  if (h == nullptr) {