#   h5py
    #   jax
    #   keras-nightly
    #   ml-dtypes
    #   opt-einsum
    #   scipy
    #   tb-nightly
opt-einsum==3.3.0 \
    --hash=sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147 \
    --hash=sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549
    # via
    #   -r requirements.in
    #   jax
packaging==23.2 \

    #   h5py
    #   jax
    #   keras-nightly
    #   ml-dtypes
    #   opt-einsum
    #   scipy
    #   tb-nightly
opt-einsum==3.3.0 \
    --hash=sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147 \
    --hash=sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549
    # via
    #   -r requirements.in
    #   jax
packaging==23.2 \

        --lockfile=requirements.txt:./requirements_lock_3_12.txt
        --lockfile=requirements.txt:./ci/official/containers/linux_arm64/devel.requirements.txt
        --lockfile=requirements.txt:./ci/official/containers/linux_arm64/jax.requirements.txt

        "//tensorflow/compiler/mlir/lite/python:flatbuffer_to_mlir",
        "//tensorflow/compiler/mlir/lite/python:graphdef_to_tfl_flatbuffer",
        "//tensorflow/compiler/mlir/lite/python:jax_to_tfl_flatbuffer",
        "//tensorflow/compiler/mlir/lite/python:saved_model_to_tfl_flatbuffer",
        "//tensorflow/compiler/mlir/lite/quantization/lite:quantize_model",

        tf.constant(2, dtype=tf.int32) b = tf.constant(3, dtype=tf.int32)
        result = client.multiply(a, b)`

*   `tf.lite`:

    *   Add experimental API `experimental_from_jax` to support conversion from
        Jax models to TensorFlow Lite.
    *   Support uint32 data type for cast op.
    *   Support int8 data type for cast op.
    *   Add experimental quantization debugger `tf.lite.QuantizationDebugger`

sekundi","m\xf5ni sekund","paar sekundit"],ss:[e+"sekundi",e+"sekundit"],m:["\xfche minuti","\xfcks minut"],mm:[e+" minuti",e+" minutit"],h:["\xfche tunni","tund aega","\xfcks tund"],hh:[e+" tunni",e+" tundi"],d:["\xfche p\xe4eva","\xfcks p\xe4ev"],M:["kuu aja","kuu aega","\xfcks kuu"],MM:[e+" kuu",e+" kuud"],y:["\xfche aasta","aasta","\xfcks aasta"],yy:[e+" aasta",e+" aastat"]};return a?n[t][2]?n[t][2]:n[t][1]:s?n[t][0]:n[t][1]}l.defineLocale("es",{months:"enero_febrero_marzo_abril_mayo_junio_julio_agos...