|this._ordinalParse.source)+"|"+/\d{1,2}/.source)},pt.eras=function(e,a){for(var t,s=this._eras||ua("en")._eras,n=0,r=s.length;n<r;++n){switch(typeof s[n].since){case"string":t=M(s[n].since).startOf("day"),s[n].since=t.valueOf();break}switch(typeof s[n].until){case"undefined":s[n].until=1/0;break;case"string":t=M(s[n].until).startOf("day").valueOf(),s[n].until=t.valueOf();break}}return s},pt.erasParse=function(e,a,t){var s,n,r,d,i,_=this.eras();for(e=e.toUpperCase(),s=0,n=_.length;s<n;++s)if(r=_...

proto$1","get$1","index","field","setter","listMonthsImpl","out","listWeekdaysImpl","localeSorted","shift","_calendar","_longDateFormat","formatUpper","toUpperCase","tok","_invalidDate","_ordinal","isFuture","_relativeTime","pastFuture","source","_eras","Infinity","isFormat","_monthsShort","monthName","_monthsParseExact","ii","llc","toLocaleLowerCase","_monthsParse","_longMonthsParse","_shortMonthsParse","firstDayOfYear","firstDayOfWeek","_weekdays","_weekdaysMin","_weekdaysShort","weekdayName",...

habiendo
habido
habida
habidos
habidas
soy
eres
es
somos
sois
son
sea
seas
seamos
seáis
sean
seré
serás
será
seremos
seréis
serán
sería
serías
seríamos
seríais
serían
era
eras
éramos
erais
eran
fui
fuiste
fue
fuimos
fuisteis
fueron
fuera
fueras
fuéramos
fuerais
fueran
fuese

  import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

# Lazy-load Keras v1.
_tf_uses_legacy_keras = (
    _os.environ.get("TF_USE_LEGACY_KERAS", None) in ("true", "True", "1"))
setattr(_current_module, "keras", _KerasLazyLoader(globals(), mode="v1"))
_module_dir = _module_util.get_parent_dir_for_name("keras._tf_keras.keras")
_current_module.__path__ = [_module_dir] + _current_module.__path__
if _tf_uses_legacy_keras:

*   Keras 3.0 will be the default Keras version. You may need to update your
    script to use Keras 3.0.

*   Please refer to the new Keras documentation for Keras 3.0
    (https://keras.io/keras_3).

*   To continue using Keras 2.0, do the following.

*   1.  Install tf-keras via pip install tf-keras~=2.16

    1.  To switch tf.keras to use Keras 2 (tf-keras), set the environment

  "$python" -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
  "$python" -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'
fi
# Import tf nightly wheel built with numpy2 from PyPI in numpy1 env for testing.
# This aims to maintain TF compatibility with NumPy 1.x until 2025 b/361369076.

  import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

# Lazy-load Keras v2/3.
_tf_uses_legacy_keras = (
    _os.environ.get("TF_USE_LEGACY_KERAS", None) in ("true", "True", "1"))
setattr(_current_module, "keras", _KerasLazyLoader(globals()))
_module_dir = _module_util.get_parent_dir_for_name("keras._tf_keras.keras")
_current_module.__path__ = [_module_dir] + _current_module.__path__
if _tf_uses_legacy_keras:

    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   jax
    #   keras-nightly
namex==0.0.9 \
    --hash=sha256:7bd4e4a2cc3876592111609fdf4cbe6ff19883adbe6b3b40d842fd340f77025e \
    --hash=sha256:8adfea9da5cea5be8f4e632349b4669e30172c7859e1fd97459fdf3b17469253
    # via keras-nightly
numpy==1.26.4 \
    --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \

    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   jax
    #   keras-nightly
namex==0.0.9 \
    --hash=sha256:7bd4e4a2cc3876592111609fdf4cbe6ff19883adbe6b3b40d842fd340f77025e \
    --hash=sha256:8adfea9da5cea5be8f4e632349b4669e30172c7859e1fd97459fdf3b17469253
    # via keras-nightly
numpy==1.26.4 \
    --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \

    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   jax
    #   keras-nightly
namex==0.0.9 \
    --hash=sha256:7bd4e4a2cc3876592111609fdf4cbe6ff19883adbe6b3b40d842fd340f77025e \
    --hash=sha256:8adfea9da5cea5be8f4e632349b4669e30172c7859e1fd97459fdf3b17469253
    # via keras-nightly
numpy==2.1.3 ; python_version <= "3.13" \