"tfe_monitoring_reader_internal.h",
    ],
    visibility = ["//tensorflow:internal"],
    deps = [
        ":c_api",
        "//tensorflow/c:c_api",
        "//tensorflow/core/lib/monitoring:cell_reader",
        "@com_google_absl//absl/memory",
    ],
    alwayslink = 1,
)

tf_cuda_cc_test(
    name = "c_api_experimental_test",
    size = "small",
    srcs = [

pkg debug/dwarf, method (*LineReader) Reset()
pkg debug/dwarf, method (*LineReader) Seek(LineReaderPos)
pkg debug/dwarf, method (*LineReader) SeekPC(uint64, *LineEntry) error
pkg debug/dwarf, method (*LineReader) Tell() LineReaderPos
pkg debug/dwarf, method (*Reader) AddressSize() int
pkg debug/dwarf, method (Class) GoString() string
pkg debug/dwarf, method (Class) String() string
pkg debug/dwarf, type Class int

I'll tell you a bit more about these **concepts** here, and that would hopefully give you the **intuition** you would need to decide how to deploy your API in very different environments, possibly even in **future** ones that don't exist yet.

//tensorflow/python/debug:grpc_tensorflow_server.par
//tensorflow/python/feature_column:vocabulary_testdata
//tensorflow/python/util:nest_test_main_lib
//tensorflow/lite/experimental/examples/lstm:rnn_cell
//tensorflow/lite/experimental/examples/lstm:rnn_cell.py
//tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test
//tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test.py
//tensorflow/lite/python:interpreter

//tensorflow/python/debug:grpc_tensorflow_server.par
//tensorflow/python/feature_column:vocabulary_testdata
//tensorflow/python/util:nest_test_main_lib
//tensorflow/lite/experimental/examples/lstm:rnn_cell
//tensorflow/lite/experimental/examples/lstm:rnn_cell.py
//tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test
//tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test.py
//tensorflow/lite/python:interpreter

└── requirements.txt
```

#### Behind a TLS Termination Proxy

If you are running your container behind a TLS Termination Proxy (load balancer) like Nginx or Traefik, add the option `--proxy-headers`, this will tell Uvicorn (through the FastAPI CLI) to trust the headers sent by that proxy telling it that the application is running behind HTTPS, etc.

```Dockerfile
CMD ["fastapi", "run", "app/main.py", "--proxy-headers", "--port", "80"]

MINIO_IDENTITY_OPENID_DISPLAY_NAME          (string)    Friendly display name for this Provider/App
MINIO_IDENTITY_OPENID_CONFIG_URL*           (url)       openid discovery document e.g. "https://accounts.google.com/.well-known/openid-configuration"
MINIO_IDENTITY_OPENID_CLIENT_ID*            (string)    unique public identifier for apps e.g. "292085223830.apps.googleusercontent.com"

## Configuration protocol

Ztunnel, of course, needs to be dynamically configured in order to make decisions on how it should handle traffic.
For this purpose, we chose to use xDS transport protocol due to our expertise and existing infrastructure, and because the protocol is well suited to our needs.

* Il _path_ `/items/{item_id}` ha una `str` _query parameter_ `q`.

### Documentazione interattiva dell'API

Adesso vai all'indirizzo <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

Vedrai la documentazione interattiva dell'API (offerta da <a href="https://github.com/swagger-api/swagger-ui" class="external-link" target="_blank">Swagger UI</a>):

      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      (except as stated in this section) patent license to make, have made,
      use, offer to sell, sell, import, and otherwise transfer the Work,
      where such license applies only to those patent claims licensable
      by such Contributor that are necessarily infringed by their