n, b.err = b.wr.Write(p)
		} else {
			n = copy(b.buf[b.n:], p)
			b.n += n
			b.Flush()
		}
		nn += n
		p = p[n:]
	}
	if b.err != nil {
		return nn, b.err
	}
	n := copy(b.buf[b.n:], p)
	b.n += n
	nn += n
	return nn, nil
}

// WriteByte writes a single byte.
func (b *Writer) WriteByte(c byte) error {
	if b.err != nil {
		return b.err
	}

else:
  _module_dir = _module_util.get_parent_dir_for_name(
      "keras.api._v1.keras.__internal__.legacy.rnn_cell")
_current_module.nn.__path__ = [_module_dir] + _current_module.nn.__path__

del importlib

# Load all plugin libraries from site-packages/tensorflow-plugins if we are
# running under pip.
# TODO(gunan): Find a better location for this code snippet.

mk: македонски јазик
ml: മലയാളം
mn: Монгол хэл
mr: मराठी
ms: Bahasa Malaysia
mt: Malti
my: ဗမာစာ
na: Ekakairũ Naoero
nb: Norsk bokmål
nd: isiNdebele
ne: नेपाली
ng: Owambo
nl: Nederlands
nn: Norsk nynorsk
'no': Norsk
nr: isiNdebele
nv: Diné bizaad
ny: chiCheŵa
oc: occitan
oj: ᐊᓂᔑᓈᐯᒧᐎᓐ
om: Afaan Oromoo
or: ଓଡ଼ିଆ
os: ирон æвзаг
pa: ਪੰਜਾਬੀ
pi: पाऴि
pl: Polski
ps: پښتو

*   `tf.nn`

    *   `tf.nn.embedding_lookup_sparse` and `tf.nn.safe_embedding_lookup_sparse` now support ids and weights described by `tf.RaggedTensor`s.
    *   Added a new boolean argument `allow_fast_lookup` to `tf.nn.embedding_lookup_sparse` and `tf.nn.safe_embedding_lookup_sparse`, which enables a simplified and typically faster lookup procedure.

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// io.EOF when it is hit before len(b) bytes are read.
func tryReadFull(r io.Reader, b []byte) (n int, err error) {
	for len(b) > n && err == nil {
		var nn int
		nn, err = r.Read(b[n:])
		n += nn
	}
	if len(b) == n && err == io.EOF {
		err = nil
	}
	return n, err
}

// readSpecialFile is like io.ReadAll except it returns

        map.put("レ", new String[] { "re" });
        map.put("ロ", new String[] { "ro" });

        map.put("ワ", new String[] { "wa" });
        map.put("ヲ", new String[] { "wo" });
        map.put("ン", new String[] { "nn" });

        map.put("ガ", new String[] { "ga" });
        map.put("ギ", new String[] { "gi" });
        map.put("グ", new String[] { "gu" });
        map.put("ゲ", new String[] { "ge" });

rn He}}]),i}();g.fn[Ae]=Xe._jQueryInterface,g.fn[Ae].Constructor=Xe,g.fn[Ae].noConflict=function(){return g.fn[Ae]=ke,Xe._jQueryInterface};var $e="popover",Ge="bs.popover",Je="."+Ge,Ze=g.fn[$e],tn="bs-popover",en=new RegExp("(^|\\s)"+tn+"\\S+","g"),nn=l({},Xe.Default,{placement:"right",trigger:"click",content:"",template:'<div class="popover" role="tooltip"><div class="arrow"></div><h3 class="popover-header"></h3><div class="popover-body"></div></div>'}),on=l({},Xe.DefaultType,{content:"(string|...

*   [C/C++ license example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/framework/op.cc#L1)
*   [Python license example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/ops/nn.py#L1)
*   [Java license example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/java/src/main/java/org/tensorflow/Graph.java#L1)

d.getUTCDate()),this}.call(this,e,a,t,s,n))}W("N",0,0,"eraAbbr"),W("NN",0,0,"eraAbbr"),W("NNN",0,0,"eraAbbr"),W("NNNN",0,0,"eraName"),W("NNNNN",0,0,"eraNarrow"),W("y",["y",1],"yo","eraYear"),W("y",["yy",2],0,"eraYear"),W("y",["yyy",3],0,"eraYear"),W("y",["yyyy",4],0,"eraYear"),le("N",_t),le("NN",_t),le("NNN",_t),le("NNNN",function(e,a){return a.erasNameRegex(e)}),le("NNNNN",function(e,a){return a.erasNarrowRegex(e)}),Le(["N","NN","NNN","NNNN","NNNNN"],function(e,a,t,s){var n=t._locale.erasParse(...