}

namespace tensorflow {
namespace {
class CustomDeviceAPI : public tensorflow::CustomDevice {
 public:
  CustomDeviceAPI(TFE_Context* context, TFE_CustomDevice device, void* info,
                  string name)
      : context_(context), device_(device), info_(info), name_(name) {}

  ~CustomDeviceAPI() override { device_.delete_device(info_); }

  const string& name() override { return name_; }

        op_outputs_ = std::vector<TensorHandlePtr>();
        Execute(context_, operation_name_, std::move(op_inputs_), attributes_,
                expected_max_outputs_, &op_outputs_, status_.get());
        execution_state_ = ExecutionState::kHasResult;
      }
    }
    finished_execute_.notify_one();
  }
}

void DeviceThread::StartExecute(TFE_Context* context,
                                const char* operation_name,

      - master

# This ensures that previous jobs for the PR are canceled when the PR is
# updated.
concurrency:
  group: ${{ github.workflow }}-${{ github.head_ref }}
  cancel-in-progress: true

permissions:
  contents: read

jobs:
  build:
    name: Go BoringCrypto ${{ matrix.go-version }} on ${{ matrix.os }}
    runs-on: ${{ matrix.os }}
    strategy:
      matrix:
        go-version: [1.22.x]
        os: [ubuntu-latest]

	return val
}

func setCaller(ctx context.Context, cl *RemoteClient) context.Context {
	//nolint:staticcheck // SA1029 Staticcheck is drunk.
	return context.WithValue(ctx, ctxCallerKey{}, cl)
}

func setSubroute(ctx context.Context, s string) context.Context {
	//nolint:staticcheck // SA1029 Staticcheck is drunk.
	return context.WithValue(ctx, ctxSubrouteKey{}, s)
}

```Python
with open("./somefile.txt") as f:
    contents = f.read()
    print(contents)
```

Underneath, the `open("./somefile.txt")` creates an object that is called a "Context Manager".

When the `with` block finishes, it makes sure to close the file, even if there were exceptions.

When you create a dependency with `yield`, **FastAPI** will internally create a context manager for it, and combine it with some other related tools.

```Python
with open("file.txt") as file:
    file.read()
```

Nas versões mais recentes de Python, há também um **gerenciador de contexto assíncrono**. Você o usaria com `async with`:

```Python
async with lifespan(app):
    await do_stuff()
```

on:
  push:
    branches:
      - master
      
permissions: {}

jobs:
  create-issue-on-pr-rollback:
    runs-on: ubuntu-latest
    permissions:
      contents: read
      issues: write
      pull-requests: read
    if: |
      github.repository == 'tensorflow/tensorflow' &&
      startsWith(github.event.head_commit.message, 'Rollback of PR #')
    steps:

// IsRemote returns true if this object version's contents are in its remote
// tier.
func (fi FileInfo) IsRemote() bool {
	if fi.TransitionStatus != lifecycle.TransitionComplete {
		return false
	}
	return !isRestoredObjectOnDisk(fi.Metadata)
}

// IsRemote returns true if this object version's contents are in its remote
// tier.
func (oi ObjectInfo) IsRemote() bool {

        auth = context.auth;


        if( context.share != null ) {
            this.tree = context.tree;
            this.dfsReferral = context.dfsReferral;
        }
        int last = name.length() - 1;
        if( name.charAt( last ) == '/' ) {
            name = name.substring( 0, last );
        }
        if( context.share == null ) {
            this.unc = "\\";

      - 'tensorflow/tools/tf_sig_build_dockerfiles/**'
      - '!tensorflow/tools/tf_sig_build_dockerfiles/README.md'
    branches:
      - "r[1-9].[0-9]+"

permissions:
  contents: read

jobs:
  docker:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    runs-on: ubuntu-latest
    strategy:
      matrix: