cast:before{content:"\f2da"}.fa-sellsy:before{content:"\f213"}.fa-server:before{content:"\f233"}.fa-servicestack:before{content:"\f3ec"}.fa-shapes:before{content:"\f61f"}.fa-share:before{content:"\f064"}.fa-share-alt:before{content:"\f1e0"}.fa-share-alt-square:before{content:"\f1e1"}.fa-share-square:before{content:"\f14d"}.fa-shekel-sign:before{content:"\f20b"}.fa-shield-alt:before{content:"\f3ed"}.fa-ship:before{content:"\f21a"}.fa-shipping-fast:before{content:"\f48b"}.fa-shirtsinbulk:before{co...

            log.debug("Adding key " + key + " to " + dr);
        }

        /*
         * Subtract the server and share from the pathConsumed so that
         * it reflects the part of the relative path consumed and not
         * the entire path.
         */
        dri.stripPathConsumed(1 + server.length() + 1 + share.length());

        if ( key.charAt(key.length() - 1) != '\\' ) {
            key += '\\';
        }

### Bug Fixes and Other Changes

*   Add TensorFlow Quantizer to TensorFlow pip package.

*   `tf.sparse.segment_sum` `tf.sparse.segment_mean` `tf.sparse.segment_sqrt_n` `SparseSegmentSum/Mean/SqrtN[WithNumSegments]`

    *   Added `sparse_gradient` option (default=false) that makes the gradient of these functions/ops sparse (`IndexedSlices`) instead of dense (`Tensor`), using new `SparseSegmentSum/Mean/SqrtNGradV2` ops.

    * Durch die Verwendung von FastAPI sparen Sie also Entwicklungszeit, Fehler und Codezeilen und würden wahrscheinlich die gleiche Leistung (oder eine bessere) erzielen, die Sie hätten, wenn Sie es nicht verwenden würden (da Sie alles in Ihrem Code implementieren müssten).

oauth2:
  # use ["code", "token", "id_token"] to enable implicit flow for web-only clients
  responseTypes: [ "code", "token", "id_token" ] # also allowed are "token" and "id_token"
  # By default, Dex will ask for approval to share data with application
  # (approval for sharing data from connected IdP to Dex is separate process on IdP)
  skipApprovalScreen: false
  # If only one authentication method is enabled, the default behavior is to

[Grafana](https://grafana.com/) allows you to query, visualize, alert on and understand your metrics no matter where they are stored. Create, explore, and share dashboards with your team and foster a data driven culture.

## Prerequisites

- Prometheus and MinIO configured as explained in [document here](https://github.com/minio/minio/blob/master/docs/metrics/prometheus/README.md).

// This input was created by taking the instruction productions in
// the old assembler's (8a's) grammar and hand-writing complete
// instructions for each rule, to guarantee we cover the same space.

#include "../../../../../runtime/textflag.h"

TEXT foo(SB), DUPOK|NOSPLIT, $0

// LTYPE1 nonrem	{ outcode(int($1), &$2); }
	SETCC	AX
	SETCC	foo+4(SB)

// LTYPE2 rimnon	{ outcode(int($1), &$2); }
	DIVB	AX
	DIVB	foo+4(SB)
	PUSHL	$foo+4(SB)

    TAG="pr-${KOKORO_GITHUB_PULL_REQUEST_NUMBER}"
  fi
fi

AR_IMAGE_PATH="us-central1-docker.pkg.dev/tensorflow-sigs/tensorflow/build-arm64"

# Build for both JAX and TF usage.  We do these in one place because they share
# almost all of the same cache layers
export DOCKER_BUILDKIT=1
for target in jax tf; do
  AR_IMAGE="$AR_IMAGE_PATH:$target-$TAG"
  docker pull "$AR_IMAGE" || true

/usr/bin/$VERSION get-pip.py
/usr/bin/$VERSION -m pip install --no-cache-dir --upgrade pip
/usr/bin/$VERSION -m pip install -U setuptools

# Disable the cache dir to save image space, and install packages

    assertThat(a.dispatcher).isNotNull()
    assertThat(a.connectionPool).isNotNull()
    assertThat(a.sslSocketFactory).isNotNull()
    assertThat(a.x509TrustManager).isNotNull()

    // Multiple clients share the instances.
    val b = client.newBuilder().build()
    assertThat(b.dispatcher).isSameAs(a.dispatcher)
    assertThat(b.connectionPool).isSameAs(a.connectionPool)