numpy.core._internal
index
/usr/lib/python2.6/dist-packages/numpy/core/_internal.py

#A place for code to be called from C-code
#  that implements more complicated stuff.

 
Modules
       
re
sys

 
Classes
       
object
_ctypes
_missing_ctypes

 
class _ctypes(object)
     Methods defined here:
__init__(self, array, ptr=None)
data_as(self, obj)
get_as_parameter(self)
get_data(self)
get_shape(self)
get_strides(self)
shape_as(self, obj)
strides_as(self, obj)

Data descriptors defined here:
__dict__
dictionary for instance variables (if defined)
__weakref__
list of weak references to the object (if defined)
data
c-types data
shape
c-types shape
strides
c-types strides

 
class _missing_ctypes(object)
     Methods defined here:
c_void_p(self, num)
cast(self, num, obj)

Data descriptors defined here:
__dict__
dictionary for instance variables (if defined)
__weakref__
list of weak references to the object (if defined)

 
Functions
       
_array_descr(descriptor)
_commastring(astr)
_getintp_ctype()
_index_fields(ary, fields)
# Given an array with fields and a sequence of field names
# construct a new array with just those fields copied over
_makenames_list(adict)
_newnames(datatype, order)
# Given a datatype and an order object
#  return a new names tuple
#  with the order indicated
_reconstruct(subtype, shape, dtype)
# Build a new array from the information in a pickle.
# Note that the name numpy.core._internal._reconstruct is embedded in
# pickles of ndarrays made with NumPy before release 1.0
# so don't remove the name here, or you'll
# break backward compatibilty.
_split(input)
Split the input formats string into field formats without splitting
the tuple used to specify multi-dimensional arrays.
_usefields(adict, align)
# Called in PyArray_DescrConverter function when
#  a dictionary without "names" and "formats"
#  fields is used as a data-type descriptor.

 
Data
        __file__ = '/usr/lib/python2.6/dist-packages/numpy/core/_internal.pyc'
__name__ = 'numpy.core._internal'
__package__ = 'numpy.core'
_convorder = {'<': '<', '=': '<', '>': '>', '|': '|'}
_nbo = '<'
format_re = <_sre.SRE_Pattern object at 0x22882b0>