The new [ParseCookie] function parses a Cookie header value and
returns all the cookies which were set in it. Since the same cookie
name can appear multiple times the returned Values can contain
more than one value for a given key.

The new [ParseSetCookie] function parses a Set-Cookie header value and

                               TF_Buffer* buf, TF_Status* status) {
  auto* function_def = tensorflow::unwrap(ctx)->FindFunctionDef(function_name);
  if (function_def == nullptr) {
    status->status = tensorflow::errors::NotFound(
        "Unable to find FunctionDef with name: ", function_name);
    return;
  }
  string str = function_def->SerializeAsString();

            token,
        )
    }
    add(FirErrors.FUNCTION_EXPECTED) { firDiagnostic ->
        FunctionExpectedImpl(
            firDiagnostic.a,
            firSymbolBuilder.typeBuilder.buildKtType(firDiagnostic.b),
            firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }
    add(FirErrors.INTERFACE_AS_FUNCTION) { firDiagnostic ->
        InterfaceAsFunctionImpl(

    override fun readWriteAccessWithFullExpressionByResolve(assignment: KtBinaryExpression): Pair<ReferenceAccess, KtExpression>? {
        val function = assignment.operationReference.mainReference.resolve() as? KtNamedFunction ?: return null
        val name = function.name ?: return null
        return if (Name.identifier(name) in OperatorConventions.ASSIGNMENT_OPERATIONS.values)
            ReferenceAccess.READ to assignment

     * For example, `foo.Foo.bar` may only refer to the extension callable `bar` with
     * a `foo.Foo` receiver type, and this function will only look for such combinations.
     *
     * N.B. This function only searches for extension callables qualified by receiver types!
     * It does not try to resolve fully qualified or member functions, because they are dealt
     * with by the other parts of [KDocReferenceResolver].
     */

 * @param {string[]} files - the gitStream's files context variable
 * @returns {Map} - Map from platform to list of files in this PR in it
 * @example {{ owners | byPlatform }}
 */
function byPlatform(files) {
    const result = new Map();
    files.forEach(file => {
        const platform = getPlatform(file);
        if (!result.has(platform)) {
            result.set(platform, []);
        }

# Each automation is independent of the others.  Every time one of the `on` conditions match for
# this PR, this automations will have its `if` checked to run.  In a way, the `on` conditions
# function as an implicit first `if` for every automation in the file.

# You can define multiple automations in a .cm file, but each automation name should be unique

A "middleware" is basically a function that is always executed for each request, with some code executed before, and some code executed after the endpoint function.

### Create a middleware

The middleware we'll add (just a function) will create a new SQLAlchemy `SessionLocal` for each request, add it to the request and then close it once the request is finished.

```Python hl_lines="6"
{!../../../docs_src/path_operation_advanced_configuration/tutorial001.py!}
```

### Using the *path operation function* name as the operationId

If you want to use your APIs' function names as `operationId`s, you can iterate over all of them and override each *path operation's* `operation_id` using their `APIRoute.name`.

You should do it after adding all your *path operations*.

    console.log("summaryTable: " + result);
    return result;
}

function platformsAffected(statistics) {
    // Significance is defined as a platform having more than 10% of the total lines changed
    let totalLinesChanged = statistics.reduce((acc, summary) => acc + summary.additions + summary.deletions, 0);
    let platformHasSignificantChanges = function(summary) {
        let linesChanged = summary.additions + summary.deletions;