/**
     * Shortcut for {@code getService(RepositoryFactory.class).createLocal(...)}.
     *
     * @param path location of the local repository to create
     * @return cache of artifacts downloaded from a remote repository or built locally
     *
     * @see org.apache.maven.api.services.RepositoryFactory#createLocal(Path)
     */
    @Nonnull

              routeFailureCount++
            }
          }

          e.errorCode == ErrorCode.CANCEL && call.isCanceled() -> {
            // Permit any number of CANCEL errors on locally-canceled calls.
          }

          else -> {
            // Everything else wants a fresh connection.
            noNewExchangesEvent = !noNewExchanges
            noNewExchanges = true

    out: Boolean,
  ): Http2Stream {
    check(!client) { "Client cannot push requests." }
    return newStream(associatedStreamId, requestHeaders, out)
  }

  /**
   * Returns a new locally-initiated stream.
   *
   * @param out true to create an output stream that we can use to send data to the remote peer.
   *     Corresponds to `FLAG_FIN`.
   */
  @Throws(IOException::class)
  fun newStream(

    *   For TensorFlow versions prior v.2.18.0: Add CUDA paths to
        LD_LIBRARY_PATH and add the `cuda` option flag.

        ```bash
        export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH"
        export flags="--config=linux --config=cuda -k"
        ```

    For example, to run all tests under tensorflow/python, do:

    ```bash

	if err = verifyBinary(u, sha256Sum, releaseInfo, mode, bytes.NewReader(bin)); err != nil {
		peerResults[local] = madmin.ServerPeerUpdateStatus{
			Host:           local,
			Err:            err.Error(),
			CurrentVersion: Version,
		}
	} else {
		peerResults[local] = madmin.ServerPeerUpdateStatus{
			Host:           local,
			CurrentVersion: Version,
			UpdatedVersion: lrTime.Format(MinioReleaseTagTimeLayout),
		}
	}

				w.Header().Set(xhttp.MinIOTargetReplicationReady, "true")
			}
		}

		writeErrorResponseHeadersOnly(w, toAPIError(ctx, err))
		return
	}

	if !proxy.Proxy { // apply lifecycle rules only locally not for proxied requests
		// Automatically remove the object/version if an expiry lifecycle rule can be applied
		if lc, err := globalLifecycleSys.Get(bucket); err == nil {
			rcfg, err := globalBucketObjectLockSys.Get(bucket)

                    logger.warn(msg, e);
                } else {
                    logger.warn(msg);
                }
            }
        }

        // if it already exists locally we were just trying to force it - ignore the update
        if (!artifact.getFile().exists()) {
            if (tfe != null) {
                throw tfe;
            } else {

---> 100%
```

</div>

It will install all the dependencies and your local FastAPI in your local environment.

### Using your local FastAPI

If you create a Python file that imports and uses FastAPI, and run it with the Python from your local environment, it will use your cloned local FastAPI source code.

//  2. Only the node hosting the disk is responsible to perform the heal
func monitorLocalDisksAndHeal(ctx context.Context, z *erasureServerPools) {
	// Perform automatic disk healing when a disk is replaced locally.
	diskCheckTimer := time.NewTimer(defaultMonitorNewDiskInterval)
	defer diskCheckTimer.Stop()

	for {
		select {
		case <-ctx.Done():
			return
		case <-diskCheckTimer.C:

  /** The exception that explains [errorCode]. Null if no exception was provided. */
  internal var errorException: IOException? = null

  init {
    if (headers != null) {
      check(!isLocallyInitiated) { "locally-initiated streams shouldn't have headers yet" }
      headersQueue += headers
    } else {
      check(isLocallyInitiated) { "remotely-initiated streams should have headers" }
    }
  }

  /**