remove stray file

jax/scipy/stats.py

@@ -1,52 +0,0 @@
-# Copyright 2018 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
-import numpy as onp
-import scipy.stats as osp_stats
-
-from .. import lax
-
-
-def _wraps(fun):
-  """Like functools.wraps but works with numpy.ufuncs."""
-  docstr = """
-  LAX-backed implementation of {fun}. Corresponding Scipy docstring below.
-
-  {np_doc}
-  """.format(fun=fun.__name__, np_doc=fun.__doc__)
-  def wrap(op):
-    try:
-      op.__name__ = fun.__name__
-      op.__doc__ = docstr
-    finally:
-      return op
-  return wrap
-
-
-@_wraps(osp_stats.norm.logpdf)
-def norm_logpdf(x, loc=0, scale=1):
-  x, loc, scale = _promote_args_like(osp_stats.norm.logpdf, x, loc, scale)
-  two = _constant_like(x, 2)
-  scale_sqrd = lax.pow(scale, two)
-  log_normalizer = lax.log(lax.mul(_constant_like(x, 2 * onp.pi), scale_sqrd))
-  quadratic = lax.div(lax.pow(lax.sub(x, loc), two), scale_sqrd)
-  return lax.div(lax.neg(lax.add(log_normalizer, quadratic)), two)
-
-
-def _constant_like(x, const):
-  return onp.array(const, dtype=lax._dtype(x))