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-rw-r--r--numpy/numarray/numclass.py133
1 files changed, 0 insertions, 133 deletions
diff --git a/numpy/numarray/numclass.py b/numpy/numarray/numclass.py
deleted file mode 100644
index 979efa9e0..000000000
--- a/numpy/numarray/numclass.py
+++ /dev/null
@@ -1,133 +0,0 @@
-from numpy.core.multiarray import ndarray
-import numerictypes as _nt
-import numpy as N
-import sys as _sys
-
-__all__ = ['NumArray']
-
-class NumArray(ndarray):
- def __new__(klass, shape=None, type=None, buffer=None,
- byteoffset=0, bytestride=None, byteorder=_sys.byteorder,
- aligned=1, real=None, imag=None):
-
- type = _nt.getType(type)
- dtype = N.dtype(type._dtype)
- if byteorder in ['little', 'big']:
- if byteorder is not _sys.byteorder:
- dtype = dtype.newbyteorder()
- else:
- raise ValueError("byteorder must be 'little' or 'big'")
-
- if buffer is None:
- self = ndarray.__new__(klass, shape, dtype)
- else:
- self = ndarray.__new__(klass, shape, dtype, buffer=buffer,
- offset=byteoffset, strides=bytestride)
-
- self._type = type
-
- if real is not None:
- self.real = real
-
- if imag is not None:
- self.imag = imag
-
- self._byteorder = byteorder
-
- return self
-
- def argmax(self, axis=-1):
- return ndarray.argmax(self, axis)
-
- def argmin(self, axis=-1):
- return ndarray.argmax(self, axis)
-
- def argsort(self, axis=-1, kind='quicksort'):
- return ndarray.argmax(self, axis, kind)
-
- def astype(self, type=None):
- return self.astype(_getdtype(type))
-
- def byteswap(self):
- ndarray.byteswap(self, True)
-
- def byteswapped(self):
- return ndarray.byteswap(self, False)
-
- def getdtypechar(self):
- return self.dtype.char
-
- def getimag(self):
- return self.imag
-
- getimaginary = getimag
-
- imaginary = property(getimaginary, None, "")
-
- def getreal(self):
- return self.real
-
- def is_c_array(self):
- return self.dtype.isnative and self.flags.carray
-
- def is_f_array(self):
- return self.dtype.isnative and self.flags.farray
-
- def is_fortran_contiguous(self):
- return self.flags.contiguous
-
- def new(self, type=None):
- if type is not None:
- dtype = _getdtype(type)
- return N.empty(self.shape, dtype)
- else:
- return N.empty_like(self)
-
- def setimag(self, value):
- self.imag = value
-
- setimaginary = setimag
-
- def setreal(self, value):
- self.real = value
-
- def sinfo(self):
- self.info()
-
- def sort(self, axis=-1, kind='quicksort'):
- ndarray.sort(self, axis, kind)
-
- def spacesaver(self):
- return False
-
- def stddev(self):
- return self.std()
-
- def sum(self, type=None):
- dtype = _getdtype(type)
- return ndarray.sum(self, dtype=dtype)
-
- def togglebyteorder(self):
- self.dtype = self.dtype.newbyteorder()
-
- def type(self):
- return self._type
-
- def typecode(self):
- return _numtypecode[self.dtype.char]
-
- dtypechar = property(getdtypechar, None, "")
-
- def info(self):
- print "class: ", self.__class__
- print "shape: ", self.shape
- print "strides: ", self.strides
- print "byteoffset: 0"
- print "bytestride: ", self.strides[0]
- print "itemsize: ", self.itemsize
- print "aligned: ", self.flags.isaligned
- print "contiguous: ", self.flags.contiguous
- print "buffer: ", self.data
- print "data pointer:", self._as_paramater_
- print "byteorder: ", self._byteorder
- print "byteswap: ", not self.dtype.isnative