diff DEPENDENCIES/mingw32/Python27/Lib/site-packages/numpy/testing/print_coercion_tables.py @ 87:2a2c65a20a8b

Add Python libs and headers

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/DEPENDENCIES/mingw32/Python27/Lib/site-packages/numpy/testing/print_coercion_tables.py	Wed Feb 25 14:05:22 2015 +0000
@@ -0,0 +1,89 @@
+#!/usr/bin/env python
+"""Prints type-coercion tables for the built-in NumPy types
+
+"""
+from __future__ import division, absolute_import, print_function
+
+import numpy as np
+
+# Generic object that can be added, but doesn't do anything else
+class GenericObject(object):
+    def __init__(self, v):
+        self.v = v
+
+    def __add__(self, other):
+        return self
+
+    def __radd__(self, other):
+        return self
+
+    dtype = np.dtype('O')
+
+def print_cancast_table(ntypes):
+    print('X', end=' ')
+    for char in ntypes: print(char, end=' ')
+    print()
+    for row in ntypes:
+        print(row, end=' ')
+        for col in ntypes:
+            print(int(np.can_cast(row, col)), end=' ')
+        print()
+
+def print_coercion_table(ntypes, inputfirstvalue, inputsecondvalue, firstarray, use_promote_types=False):
+    print('+', end=' ')
+    for char in ntypes: print(char, end=' ')
+    print()
+    for row in ntypes:
+        if row == 'O':
+            rowtype = GenericObject
+        else:
+            rowtype = np.obj2sctype(row)
+
+        print(row, end=' ')
+        for col in ntypes:
+            if col == 'O':
+                coltype = GenericObject
+            else:
+                coltype = np.obj2sctype(col)
+            try:
+                if firstarray:
+                    rowvalue = np.array([rowtype(inputfirstvalue)], dtype=rowtype)
+                else:
+                    rowvalue = rowtype(inputfirstvalue)
+                colvalue = coltype(inputsecondvalue)
+                if use_promote_types:
+                    char = np.promote_types(rowvalue.dtype, colvalue.dtype).char
+                else:
+                    value = np.add(rowvalue, colvalue)
+                    if isinstance(value, np.ndarray):
+                        char = value.dtype.char
+                    else:
+                        char = np.dtype(type(value)).char
+            except ValueError:
+                char = '!'
+            except OverflowError:
+                char = '@'
+            except TypeError:
+                char = '#'
+            print(char, end=' ')
+        print()
+
+print("can cast")
+print_cancast_table(np.typecodes['All'])
+print()
+print("In these tables, ValueError is '!', OverflowError is '@', TypeError is '#'")
+print()
+print("scalar + scalar")
+print_coercion_table(np.typecodes['All'], 0, 0, False)
+print()
+print("scalar + neg scalar")
+print_coercion_table(np.typecodes['All'], 0, -1, False)
+print()
+print("array + scalar")
+print_coercion_table(np.typecodes['All'], 0, 0, True)
+print()
+print("array + neg scalar")
+print_coercion_table(np.typecodes['All'], 0, -1, True)
+print()
+print("promote_types")
+print_coercion_table(np.typecodes['All'], 0, 0, False, True)