Adds NumPy LICENSE and lists of NumPy API symbols that `tf.experimental.numpy`...

Adds NumPy LICENSE and lists of NumPy API symbols that `tf.experimental.numpy` implements to tensorflow/third_party/py/numpy/

PiperOrigin-RevId: 317755065
Change-Id: I0efd21b4bf917b7f14ec30e0b5710954844de448

third_party/py/numpy/LICENSE

+Copyright (c) 2005-2019, NumPy Developers.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+       notice, this list of conditions and the following disclaimer.
+
+    * Redistributions in binary form must reproduce the above
+       copyright notice, this list of conditions and the following
+       disclaimer in the documentation and/or other materials provided
+       with the distribution.
+
+    * Neither the name of the NumPy Developers nor the names of any
+       contributors may be used to endorse or promote products derived
+       from this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+
+The NumPy repository and source distributions bundle several libraries that are
+compatibly licensed.  We list these here.
+
+Name: Numpydoc
+Files: doc/sphinxext/numpydoc/*
+License: 2-clause BSD
+  For details, see doc/sphinxext/LICENSE.txt
+
+Name: scipy-sphinx-theme
+Files: doc/scipy-sphinx-theme/*
+License: 3-clause BSD, PSF and Apache 2.0
+  For details, see doc/scipy-sphinx-theme/LICENSE.txt
+
+Name: lapack-lite
+Files: numpy/linalg/lapack_lite/*
+License: 3-clause BSD
+  For details, see numpy/linalg/lapack_lite/LICENSE.txt
+
+Name: tempita
+Files: tools/npy_tempita/*
+License: BSD derived
+  For details, see tools/npy_tempita/license.txt
+
+Name: dragon4
+Files: numpy/core/src/multiarray/dragon4.c
+License: One of a kind
+  For license text, see numpy/core/src/multiarray/dragon4.c

third_party/py/numpy/README.md

+# numpy_ops
+
+The folder tf_numpy_api/ contains lists of NumPy API symbols that the
+`numpy_ops` internal module in TensorFlow implements.

third_party/py/numpy/tf_numpy_api/numpy_ops.ndarray.pbtxt

+path: "numpy_ops.ndarray"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.numpy_ops.np_arrays.ndarray\'>"
+  is_instance: "<class \'tensorflow.python.framework.composite_tensor.CompositeTensor\'>"
+  is_instance: "<type \'object\'>"
+  member {
+    name: "T"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "data"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "dtype"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "ndim"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "shape"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "size"
+    mtype: "<type \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'shape\', \'dtype\', \'buffer\'], varargs=None, keywords=None, defaults=[\"<class \'float\'>\", \'None\'], "
+  }
+  member_method {
+    name: "astype"
+    argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_tensor"
+    argspec: "args=[\'cls\', \'tensor\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "ravel"
+    argspec: "args=[\'a\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "reshape"
+    argspec: "args=[\'a\'], varargs=newshape, keywords=kwargs, defaults=None"
+  }
+  member_method {
+    name: "tolist"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "transpose"
+    argspec: "args=[\'a\', \'axes\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+}

third_party/py/numpy/tf_numpy_api/numpy_ops.random.pbtxt

+path: "numpy_ops.random"
+tf_module {
+  member_method {
+    name: "rand"
+    argspec: "args=[], varargs=size, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "randint"
+    argspec: "args=[\'low\', \'high\', \'size\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \"<class \'int\'>\"], "
+  }
+  member_method {
+    name: "randn"
+    argspec: "args=[], varargs=args, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "random"
+    argspec: "args=[\'size\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "seed"
+    argspec: "args=[\'s\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "uniform"
+    argspec: "args=[\'low\', \'high\', \'size\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\'], "
+  }
+}