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Name	Size	Permission
__pycache__	[ DIR ]	drwxr-xr-x
_private	[ DIR ]	drwxr-xr-x
tests	[ DIR ]	drwxr-xr-x
__init__.py	632 B	-rw-r--r--
decorators.py	428 B	-rw-r--r--
noseclasses.py	423 B	-rw-r--r--
nosetester.py	583 B	-rw-r--r--
print_coercion_tables.py	2.64 KB	-rw-r--r--
setup.py	676 B	-rw-r--r--
utils.py	1.2 KB	-rw-r--r--

Code Editor : print_coercion_tables.py

#!/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)

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Code Editor : print_coercion_tables.py