Ejemplos de context_function en Python

Ejemplo n.º 1

def f(x):
    """This function knows nothing of numpy"""
    return 2 * math.sin(x) + math.cos(x)


import numpy


def numpy_math_context():
    """This function returns a context where 'math' is a reference to numpy."""
    return {'math': numpy}


# this essentially vectorizes the function
f = context_function(f, numpy_math_context)

# so that this works
print f(numpy.array([0, 0.5, 1]) * numpy.pi)

#############################################################################
# Example 2
#############################################################################

accumulation_dict = {'total': 0}


def accumulator_factory():
    """Return the same dictionary on every function call"""
    return accumulation_dict

Ejemplo n.º 2

Archivo: function_events.py Proyecto: B-Rich/codetools

"""

from traits.api import HasTraits, on_trait_change
from codetools.contexts.api import DataContext, context_function

class ListeningDataContext(DataContext):
    """ A simple subclass of DataContext which listens for items_modified
    events and pretty-prints them."""

    @on_trait_change('items_modified')
    def print_event(self, event):
        print "Event: items_modified"
        for added in event.added:
            print "  Added:", added, "=", repr(self[added])
        for modified in event.modified:
            print "  Modified:", modified, "=", repr(self[modified])
        for removed in event.removed:
            print "  Removed:", removed

def f(x, t=3):
    """ A function which will fire add, modify and delete events. """
    y = x+2
    y += 1
    z = '12'
    del z
    return y

f = context_function(f, ListeningDataContext)

f(3)

Ejemplo n.º 3

Archivo: function_events.py Proyecto: braidedlogix/Codetools_wxPhoenix_py3

from traits.api import HasTraits, on_trait_change
from codetools.contexts.api import DataContext, context_function


class ListeningDataContext(DataContext):
    """ A simple subclass of DataContext which listens for items_modified
    events and pretty-prints them."""
    @on_trait_change('items_modified')
    def print_event(self, event):
        print("Event: items_modified")
        for added in event.added:
            print("  Added:", added, "=", repr(self[added]))
        for modified in event.modified:
            print("  Modified:", modified, "=", repr(self[modified]))
        for removed in event.removed:
            print("  Removed:", removed)


def f(x, t=3):
    """ A function which will fire add, modify and delete events. """
    y = x + 2
    y += 1
    z = '12'
    del z
    return y


f = context_function(f, ListeningDataContext)

f(3)

Ejemplo n.º 4

Archivo: global_override.py Proyecto: B-Rich/codetools

# Example 1
#############################################################################

import math
def f(x):
    """This function knows nothing of numpy"""
    return 2*math.sin(x) + math.cos(x)


import numpy
def numpy_math_context():
    """This function returns a context where 'math' is a reference to numpy."""
    return {'math': numpy}

# this essentially vectorizes the function
f = context_function(f, numpy_math_context)

# so that this works
print f(numpy.array([0, 0.5, 1])*numpy.pi)


#############################################################################
# Example 2
#############################################################################

accumulation_dict = {'total': 0}

def accumulator_factory():
    """Return the same dictionary on every function call"""
    return accumulation_dict