/**
     * Imports crawling information and parameters from a CSV file.
     * The CSV format expected is: SessionId, SessionCreatedTime, Key, Value, CreatedTime.
     * Creates new crawling sessions if they don't exist and adds parameters to them.
     *
     * @param reader the Reader containing CSV data to import
     */
    public void importCsv(final Reader reader) {
        @SuppressWarnings("resource")

			expectedPreSignValues: preSignValues{},
			expectedErrCode:       ErrInvalidQueryParams,
		},
		// Test case - 2.
		// Test case with invalid  "X-Amz-Algorithm" query value.
		// The other query params should exist, other wise ErrInvalidQueryParams will be returned because of missing fields.
		{
			inputQueryKeyVals: []string{
				"X-Amz-Algorithm", "InvalidValue",
				"X-Amz-Credential", "",
				"X-Amz-Signature", "",

		if isErrBucketNotFound(err) {
			return batchExpireJobError{
				Code:           "NoSuchSourceBucket",
				Description:    "The specified source bucket does not exist",
				HTTPStatusCode: http.StatusNotFound,
			}
		}
		return err
	}

	if len(r.Rules) > maxBatchRules {
		return batchExpireJobError{
			Code:           "InvalidArgument",

your changes by running the command:

```bash
tensorflow/tools/ci_build/ci_build.sh CPU tensorflow/tools/ci_build/ci_sanity.sh
```

This will catch most license, Python coding style and BUILD file issues that
may exist in your changes.

#### Running unit tests

There are two ways to run TensorFlow unit tests.

1.  Using tools and libraries installed directly on your system.

    Refer to the

	if err != nil {
		if isErrBucketNotFound(err) {
			return batchReplicationJobError{
				Code:           "NoSuchSourceBucket",
				Description:    fmt.Sprintf("The specified bucket %s does not exist", localBkt),
				HTTPStatusCode: http.StatusNotFound,
			}
		}
		return err
	}

	if err := r.Source.Type.Validate(); err != nil {
		return err
	}

   * in any particular order. The returned {@code Iterator} is a "weakly consistent" iterator that
   * will never throw {@link ConcurrentModificationException}, and guarantees to traverse elements
   * as they existed upon construction of the iterator, and may (but is not guaranteed to) reflect
   * any modifications subsequent to construction.
   *
   * @return an iterator over the elements in this queue
   */

* Ele **limitará e filtrará** os dados de saída para o que está definido no tipo de retorno.
    * Isso é particularmente importante para a **segurança**, veremos mais sobre isso abaixo.

## Parâmetro `response_model`

Existem alguns casos em que você precisa ou deseja retornar alguns dados que não são exatamente o que o tipo declara.

      // unpark even though the thread has already removed itself from the list. But even if we did
      // use a CAS, that race would still exist (it would just be ever so slightly smaller).
      Thread w = thread;
      if (w != null) {
        thread = null;
        LockSupport.unpark(w);
      }
    }
  }

  /*

   * @param actual The type that the formal type variable(s) are mapped to. It can be or contain yet
   *     other type variables, in which case these type variables will be further resolved if
   *     corresponding mappings exist in the current {@code TypeResolver} instance.
   */
  public TypeResolver where(Type formal, Type actual) {
    Map<TypeVariableKey, Type> mappings = new HashMap<>();

```

```sh
mc idp ldap policy detach myminio mypolicy ----group='cn=projectx,ou=groups,ou=hwengg,dc=min,dc=io'
```


Note that the commands above attempt to validate if the given entity (user or group) exist in the LDAP directory and return an error if they are not found.

<details><summary> View **DEPRECATED** older policy association commands</summary>