for (String edge : edges) {
      checkArgument(
          edge.length() == 2, "Expecting each edge to consist of 2 characters but got %s", edge);
      char node1 = edge.charAt(0);
      char node2 = edge.charAt(1);
      graphMapBuilder.put(node1, node2);
      if (!directed) {
        graphMapBuilder.put(node2, node1);
      }
    }

    for (String edge : edges) {
      checkArgument(
          edge.length() == 2, "Expecting each edge to consist of 2 characters but got %s", edge);
      char node1 = edge.charAt(0);
      char node2 = edge.charAt(1);
      graphMapBuilder.put(node1, node2);
      if (!directed) {
        graphMapBuilder.put(node2, node1);
      }
    }

	var frag []byte
	// Use ReadSlice to look for delim, accumulating full buffers.
	for {
		var e error
		frag, e = b.ReadSlice(delim)
		if e == nil { // got final fragment
			break
		}
		if e != ErrBufferFull { // unexpected error
			err = e
			break
		}

		// Make a copy of the buffer.
		buf := bytes.Clone(frag)

**FastAPI** is not actually an alternative to **Requests**. Their scope is very different.

It would actually be common to use Requests *inside* of a FastAPI application.

But still, FastAPI got quite some inspiration from Requests.

**Requests** is a library to *interact* with APIs (as a client), while **FastAPI** is a library to *build* APIs (as a server).

    status->status =
        tensorflow::errors::InvalidArgument("Unparseable AttrValue proto");
    return;
  }
  if (op == nullptr) {
    status->status = tensorflow::errors::InvalidArgument(
        "Got a null or uninitialized `op` argument");
    return;
  }
  tensorflow::EagerOperation* operation =
      OperationFromInterface(tensorflow::unwrap(const_cast<TFE_Op*>(op)));

		pInfo, err = api.PutObjectPart(ctx, tgtBucket, tgtObject, res.UploadID, i+1, pReader, opts)
		if err != nil {
			return err
		}
		if pInfo.Size != objInfo.Size {
			return fmt.Errorf("Part size mismatch: got %d, want %d", pInfo.Size, objInfo.Size)
		}
		uploadedParts = append(uploadedParts, CompletePart{
			PartNumber: pInfo.PartNumber,
			ETag:       pInfo.ETag,
		})
	}

        tensorflow::down_cast<const tensorflow::TensorInterface*>(src->tensor);

    if (dst->dims() != 0) {
      return InvalidArgument(
          "Malformed TF_RESOURCE tensor: expected a scalar, got a tensor with "
          "shape ",
          dst->shape().DebugString());
    }
    *dst = tensorflow::Tensor(tensorflow::DT_RESOURCE, dst->shape());
    if (!dst->scalar<tensorflow::ResourceHandle>()().ParseFromString(

   *   method-reference linking tries to look up the system classloader, and it fails because there
   *   isn't one yet.
   *
   * - lambda: Outside Google, we got a report of a similar problem in
   *   https://github.com/google/guava/issues/6565
   */
  @SuppressWarnings("AnonymousToLambda")
  static final Supplier<StatsCounter> CACHE_STATS_COUNTER =

        data.put("versionProperties", CLIReportingUtils.getBuildProperties());
        eventSpyDispatcher.init(eventSpyContext);

        // refresh logger in case container got customized by spy
        slf4jLogger = slf4jLoggerFactory.getLogger(this.getClass().getName());

        maven = container.lookup(Maven.class);

	capacity := GetTotalUsableCapacityFree(storageInfo.Disks, storageInfo)

	if capacity < capacityNeeded {
		return false, false, fmt.Sprintf("not enough usable space available to perform speedtest - expected %s, got %s",
			humanize.IBytes(capacityNeeded), humanize.IBytes(capacity))
	}

	// Verify if we can employ autotune without running out of capacity,
	// if we do run out of capacity, make sure to turn-off autotuning