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📁 ..
📄 __init__.py(471 B)
📄 __init__.pyc(810 B)
📄 __init__.pyo(810 B)
📄 decorators.py(8.26 KB)
📄 decorators.pyc(9.79 KB)
📄 decorators.pyo(9.79 KB)
📄 noseclasses.py(13.51 KB)
📄 noseclasses.pyc(11.19 KB)
📄 noseclasses.pyo(11.19 KB)
📄 nosetester.py(17.93 KB)
📄 nosetester.pyc(15.88 KB)
📄 nosetester.pyo(15.88 KB)
📄 print_coercion_tables.py(2.62 KB)
📄 print_coercion_tables.pyc(3.27 KB)
📄 print_coercion_tables.pyo(3.27 KB)
📄 setup.py(615 B)
📄 setup.pyc(1001 B)
📄 setup.pyo(1001 B)
📁 tests
📄 utils.py(64.98 KB)
📄 utils.pyc(62.59 KB)
📄 utils.pyo(62.59 KB)

Editing: print_coercion_tables.py

"""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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