using for loop to install conda package

.CondaPkg/env/Lib/site-packages/scipy/linalg/_flinalg_py.py

@@ -0,0 +1,56 @@
+#
+# Author: Pearu Peterson, March 2002
+#
+
+__all__ = ['get_flinalg_funcs']
+
+# The following ensures that possibly missing flavor (C or Fortran) is
+# replaced with the available one. If none is available, exception
+# is raised at the first attempt to use the resources.
+try:
+    from . import _flinalg
+except ImportError:
+    _flinalg = None
+#    from numpy.distutils.misc_util import PostponedException
+#    _flinalg = PostponedException()
+#    print _flinalg.__doc__
+    has_column_major_storage = lambda a:0
+
+
+def has_column_major_storage(arr):
+    return arr.flags['FORTRAN']
+
+
+_type_conv = {'f':'s', 'd':'d', 'F':'c', 'D':'z'}  # 'd' will be default for 'i',..
+
+
+def get_flinalg_funcs(names,arrays=(),debug=0):
+    """Return optimal available _flinalg function objects with
+    names. Arrays are used to determine optimal prefix."""
+    ordering = []
+    for i, ar in enumerate(arrays):
+        t = ar.dtype.char
+        if t not in _type_conv:
+            t = 'd'
+        ordering.append((t,i))
+    if ordering:
+        ordering.sort()
+        required_prefix = _type_conv[ordering[0][0]]
+    else:
+        required_prefix = 'd'
+    # Some routines may require special treatment.
+    # Handle them here before the default lookup.
+
+    # Default lookup:
+    if ordering and has_column_major_storage(arrays[ordering[0][1]]):
+        suffix1,suffix2 = '_c','_r'
+    else:
+        suffix1,suffix2 = '_r','_c'
+
+    funcs = []
+    for name in names:
+        func_name = required_prefix + name
+        func = getattr(_flinalg,func_name+suffix1,
+                       getattr(_flinalg,func_name+suffix2,None))
+        funcs.append(func)
+    return tuple(funcs)