FNMSUBD	F1, F2, F3, F4				// 4b82201a
	FNMADDD	F1, F2, F3, F4				// 4f82201a

	// 12.6: Double-Precision Floating-Point Classify Instruction
	FCLASSD	F0, X5					// d31200e2

	// RISC-V Bit-Manipulation ISA-extensions (1.0)
	// 1.1: Address Generation Instructions (Zba)
	ADDUW		X10, X11, X12			// 3b86a508
	ADDUW		X10, X11			// bb85a508
	SH1ADD		X11, X12, X13			// b326b620
	SH1ADD		X11, X12			// 3326b620

    ImmutableSet<E> toImmutableSet() {
      if (set == null) {
        return ImmutableSet.of();
      }
      ImmutableSet<E> ret = ImmutableEnumSet.asImmutable(set);
      set = null; // subsequent manual manipulation of the accumulator mustn't affect ret
      return ret;
    }
  }

  @GwtIncompatible
  @SuppressWarnings({"rawtypes", "unchecked"})
  static <E extends Comparable<? super E>>

    ImmutableSet<E> toImmutableSet() {
      if (set == null) {
        return ImmutableSet.of();
      }
      ImmutableSet<E> ret = ImmutableEnumSet.asImmutable(set);
      set = null; // subsequent manual manipulation of the accumulator mustn't affect ret
      return ret;
    }
  }

  @GwtIncompatible
  @SuppressWarnings({"rawtypes", "unchecked"})
  static <E extends Comparable<? super E>>

    adder.accept(accumulator, SomeEnum.B);
    ImmutableSet<SomeEnum> set = collector.finisher().apply(accumulator);
    assertThat(set).containsExactly(SomeEnum.A, SomeEnum.B);

    // Subsequent manual manipulation of the accumulator must not affect the state of the built set
    adder.accept(accumulator, SomeEnum.C);
    assertThat(set).containsExactly(SomeEnum.A, SomeEnum.B);
  }

  @J2ktIncompatible

// Copyright 2009 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// Package bytes implements functions for the manipulation of byte slices.
// It is analogous to the facilities of the [strings] package.
package bytes

import (
	"internal/bytealg"
	"unicode"
	"unicode/utf8"
)

// Equal reports whether a and b

				writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrAdminResourceInvalidArgument), r.URL)
				return
			}
		}

		if globalIAMSys.LDAPConfig.Enabled() {
			// We don't allow internal group manipulation in this API when LDAP
			// is enabled for now.
			err = errIAMActionNotAllowed
		} else {
			updatedAt, err = globalIAMSys.AddUsersToGroup(ctx, updReq.Group, updReq.Members)
		}
	}
	if err != nil {

			_, err = globalIAMSys.SetGroupStatus(ctx, updReq.Group, updReq.Status == madmin.GroupEnabled)
		} else {
			if globalIAMSys.LDAPConfig.Enabled() {
				// We don't allow internal group manipulation in this API when
				// LDAP is enabled for now (both sites must have LDAP disabled).
				err = errIAMActionNotAllowed
			} else {
				_, err = globalIAMSys.AddUsersToGroup(ctx, updReq.Group, updReq.Members)
			}

    ```Python hl_lines="1  2  12-16"
    {!> ../../../docs_src/extra_data_types/tutorial001.py!}
    ```

Note that the parameters inside the function have their natural data type, and you can, for example, perform normal date manipulations, like:

=== "Python 3.10+"

    ```Python hl_lines="18-19"
    {!> ../../../docs_src/extra_data_types/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="18-19"

Avec **FastAPI** vous aurez toutes les fonctionnalités de **Pydantic**  (comme FastAPI est basé sur Pydantic pour toutes les manipulations de données):

* **Pas de prise de tête**:
    * Pas de nouveau langage de définition de schéma à apprendre.
    * Si vous connaissez le typage en python vous savez comment utiliser Pydantic.

        Keras inputs/outputs. Use `GradientTape` on the actual Tensors passed to
        the already-constructed model instead.
    *   Code that requires very tricky shape manipulation via converted op
        layers in order to work, where the Keras symbolic shape inference proves
        insufficient.
    *   Code that tries manually walking a `tf.keras.Model` layer by layer and