}

function _build() {
	local osarch=$1
	IFS=/ read -r -a arr <<<"$osarch"
	os="${arr[0]}"
	arch="${arr[1]}"
	package=$(go list -f '{{.ImportPath}}')
	printf -- "--> %15s:%s\n" "${osarch}" "${package}"

	# go build -trimpath to build the binary.
	export GOOS=$os

# ==============================================================================
#
# Re-direct all links in $1 that point to /lib... to point to $1/lib... instead.

BASE="$1"
find "${BASE}" -type l | \
  while read l ; do
    if [[ "$(readlink "$l")" == /lib* ]]; then
      ORIG="$(readlink "$l")";
      rm "$l";
      ln -s "${BASE}${ORIG}" "$l"
    fi

# WebSockets

When defining WebSockets, you normally declare a parameter of type `WebSocket` and with it you can read data from the client and send data to it.

It is provided directly by Starlette, but you can import it from `fastapi`:

```python
from fastapi import WebSocket
```

/// tip

                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                    "summary": "Read Current User",
                    "operationId": "read_current_user_users_me_get",
                    "security": [{"APIKeyQuery": []}],
                }
            }
        },
        "components": {

                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                    "summary": "Read Current User",
                    "operationId": "read_current_user_users_me_get",
                    "security": [{"HTTPBase": []}],
                }
            }
        },
        "components": {

                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                    "summary": "Read Items",
                    "operationId": "read_items_items__get",
                    "security": [{"OAuth2AuthorizationCodeBearer": []}],
                }
            }
        },
        "components": {

# limitations under the License.
# ==============================================================================

name: cffconvert

on:
  push:
    paths:
      - CITATION.cff

permissions:
  contents: read

jobs:
  validate:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    name: "validate"
    runs-on: ubuntu-latest
    steps:
      - name: Check out a copy of the repository

    dockerfile: Dockerfile
  command: server --console-address ":9001" http://minio{1...4}/data{1...8}
  expose:
    - "9000"
    - "9001"
  environment:
    MINIO_CI_CD: 1
  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:

        if (dgst != null && !isAsync() && (getConfig().isRequireSecureNegotiate() || getErrorCode() == NtStatus.NT_STATUS_SUCCESS)) {
            // MID checking not required here as we only read responses for which we're waiting
            // We only read what we were waiting for, so first guess would be no.
            final boolean verify = dgst.verify(buffer, i, size, 0, this);
            this.verifyFailed = verify;
            return !verify;

        try (java.util.stream.Stream<String> stream = Files.lines(file.toPath())) {
            stream.forEach(lines::add);
        } catch (IOException ex) {
            // If a file can't be read, add an error
            addError(errors, file, new Error(1, "Failed to read file: " + ex.getMessage()));
            return;
        }

        boolean inExample = false; // between ==== ... ====
        List<Snippet> currentSnippets = new ArrayList<>();