//
	WORD	$1

	//
	// NOP
	//
	//	LNOP comma // asm doesn't support the trailing comma.
	//	{
	//		outcode(int($1), &nullgen, 0, &nullgen);
	//	}
	NOP

	//	LNOP rreg comma // asm doesn't support the trailing comma.
	//	{
	//		outcode(int($1), &$2, 0, &nullgen);
	//	}
	NOP	R2

	//	LNOP freg comma // asm doesn't support the trailing comma.
	//	{
	//		outcode(int($1), &$2, 0, &nullgen);
	//	}

 	{
@@ -332,6 +333,7 @@ unsetenv (const char *name)
 	}
       else
 	++ep;
+  }
 
   UNLOCK;
 
diff --git a/support/Makefile b/support/Makefile
index a253698..2f4e2a9 100644
--- a/support/Makefile
+++ b/support/Makefile
@@ -167,13 +167,6 @@ CFLAGS-support_paths.c = \
 		-DINSTDIR_PATH=\"$(prefix)\" \
 		-DLIBDIR_PATH=\"$(libdir)\"
 
-ifeq (,$(CXX))

            // Then
            assertTrue(exists, "Should support SMB existence checks");
            assertTrue(isFile, "Should support SMB file type detection");
            assertTrue(canRead, "Should support SMB read permission checks");
            assertTrue(canWrite, "Should support SMB write permission checks");
        }

        @Test
        @DisplayName("SmbResource should support SMB stream operations")

            **BUG!** This issue should not be marked stale by the "stale" workflow.
            Please report it to @gradle/bt-support team
          days-before-issue-close: -1
          close-issue-message: >
            **BUG!** This issue should not be closed by the "stale" workflow.
            Please report it to @gradle/bt-support team
          close-issue-reason: not_planned

        assertEquals(1, capabilities.size(), "TCP provider should only support send/receive");
        assertTrue(capabilities.contains(RdmaCapability.RDMA_SEND_RECEIVE), "Should support send/receive");
        assertFalse(capabilities.contains(RdmaCapability.RDMA_READ), "Should not support RDMA read");
        assertFalse(capabilities.contains(RdmaCapability.RDMA_WRITE), "Should not support RDMA write");
    }

    @Test

# Introduction aux Types Python

Python supporte des annotations de type (ou *type hints*) optionnelles.

Ces annotations de type constituent une syntaxe spéciale qui permet de déclarer le <abbr title="par exemple : str, int, float, bool">type</abbr> d'une variable.

En déclarant les types de vos variables, cela permet aux différents outils comme les éditeurs de texte d'offrir un meilleur support.

# Note that numpy 2.1.0 does not support python 3.9
numpy >= 2.0.0, < 2.2.0
wheel ~= 0.41.2
h5py >= 3.11.0
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras

/// check | Inspired **FastAPI** to

Define extra validations for data types using the "default" value of model attributes. This improves editor support, and it was not available in Pydantic before.

This actually inspired updating parts of Pydantic, to support the same validation declaration style (all this functionality is now already available in Pydantic).

///

* Passer la donnée reçue dans le paramètre `item`.
    * Ce paramètre ayant été déclaré dans la fonction comme étant de type `Item`, vous aurez aussi tout le support offert par l'éditeur (auto-complétion, etc.) pour tous les attributs de ce paramètre et les types de ces attributs.

    /**
     * Share capability indicating DFS support.
     */
    public static final int SMB2_SHARE_CAP_DFS = 0x8;

    /**
     * Share capability indicating continuous availability support.
     */
    public static final int SMB2_SHARE_CAP_CONTINUOUS_AVAILABILITY = 0x10;

    /**
     * Share capability indicating scale-out support.
     */