static_cast<bool>(should_enable);
}

void TF_SetXlaMinClusterSize(int size) {
  tensorflow::MarkForCompilationPassFlags* flags =
      tensorflow::GetMarkForCompilationPassFlags();
  flags->tf_xla_min_cluster_size = size;
}

TF_Buffer* TF_CreateConfig(unsigned char enable_xla_compilation,
                           unsigned char gpu_memory_allow_growth,

)

//go:generate msgp -file $GOFILE

// WalkDirOptions provides options for WalkDir operations.
type WalkDirOptions struct {
	// Bucket to scanner
	Bucket string

	// Directory inside the bucket.
	BaseDir string

	// Do a full recursive scan.
	Recursive bool

	// ReportNotFound will return errFileNotFound if all disks reports the BaseDir cannot be found.
	ReportNotFound bool

            t2.snd_buf_size = t1.snd_buf_size;
        } else {
            t1.snd_buf_size = t2.snd_buf_size;
        }

        bsize = Math.min( t1.rcv_buf_size - 70, t1.snd_buf_size - 70 );
        b = new byte[2][bsize];

        try {
            copyTo0( dest, b, bsize, w, req, resp );
        } finally {
            w.write( null, -1, null, 0 );
        }
    }

/**

After the symbol, the arguments are flags (see below)
and the frame size, a constant (but see below):
</p>

<pre>
TEXT runtime·profileloop(SB),NOSPLIT,$8
	MOVQ	$runtime·profileloop1(SB), CX
	MOVQ	CX, 0(SP)
	CALL	runtime·externalthreadhandler(SB)
	RET
</pre>

<p>
In the general case, the frame size is followed by an argument size, separated by a minus sign.
(It's not a subtraction, just idiosyncratic syntax.)

			if oi.DeleteMarker != object.addDeleteMarker {
				t.Fatalf("Expected, marker %t : got %t", object.addDeleteMarker, oi.DeleteMarker)
			}
		}
	}

	// Formulating the result data set to be expected from ListObjects call inside the tests,
	// This will be used in testCases and used for asserting the correctness of ListObjects output in the tests.

	resultCases := []ListObjectsInfo{
		{
			IsTruncated: false,

}

func getResourceKey(name MetricName, labels map[string]string) string {
	// labels are used to uniquely identify a metric
	// e.g. reads_per_sec_{drive} inside the map
	sfx := ""
	for _, v := range labels {
		if len(sfx) > 0 {
			sfx += "_"
		}
		sfx += v
	}

	return string(name) + "_" + sfx
}

		if err != nil {
			return nil, ObjectInfo{}, err
		}
		if size > len(b) {
			size = len(b)
		}

		// Calculate the object real size if encrypted
		if _, ok := crypto.IsEncrypted(gr.ObjInfo.UserDefined); ok {
			objSize, err = gr.ObjInfo.DecryptedSize()
			if err != nil {
				return nil, ObjectInfo{}, err
			}
		} else {
			objSize = gr.ObjInfo.Size
		}

        this.maximumSize == UNSET_INT, "maximum size was already set to %s", this.maximumSize);
    checkState(
        this.maximumWeight == UNSET_INT,
        "maximum weight was already set to %s",
        this.maximumWeight);
    checkState(this.weigher == null, "maximum size can not be combined with weigher");
    checkArgument(maximumSize >= 0, "maximum size must not be negative");
    this.maximumSize = maximumSize;

       * Future.get() when we don't need to (specifically, for whenAllComplete().call*()), and it
       * lets all futures share the same listener.
       *
       * We store `localFuturesOrNull` inside the listener because `this.futures` might be nulled
       * out by the time the listener runs for the final future -- at which point we need to check

///

Here we define the config `env_file` inside of your Pydantic `Settings` class, and set the value to the filename with the dotenv file we want to use.

### Creating the `Settings` only once with `lru_cache`