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# missing Numarray defined names (in from numarray import *)
##__all__ = ['ArrayType', 'CLIP', 'ClassicUnpickler', 'Complex32_fromtype',
## 'Complex64_fromtype', 'ComplexArray', 'EarlyEOFError', 'Error',
## 'FileSeekWarning', 'MAX_ALIGN', 'MAX_INT_SIZE', 'MAX_LINE_WIDTH',
## 'MathDomainError', 'NDArray', 'NewArray', 'NewAxis', 'NumArray',
## 'NumError', 'NumOverflowError', 'PRECISION', 'Py2NumType',
## 'PyINT_TYPES', 'PyLevel2Type', 'PyNUMERIC_TYPES', 'PyREAL_TYPES',
## 'RAISE', 'SLOPPY', 'STRICT', 'SUPPRESS_SMALL', 'SizeMismatchError',
## 'SizeMismatchWarning', 'SuitableBuffer', 'USING_BLAS',
## 'UnderflowError', 'UsesOpPriority', 'WARN', 'WRAP', 'all',
## 'allclose', 'alltrue', 'and_', 'any', 'arange', 'argmax',
## 'argmin', 'argsort', 'around', 'array2list', 'array_equal',
## 'array_equiv', 'array_repr', 'array_str', 'arrayprint',
## 'arrayrange', 'average', 'choose', 'clip',
## 'codegenerator', 'compress', 'concatenate', 'conjugate',
## 'copy', 'copy_reg', 'diagonal', 'divide_remainder',
## 'dotblas', 'e', 'explicit_type', 'flush_caches', 'fromfile',
## 'fromfunction', 'fromlist', 'fromstring', 'generic',
## 'genericCoercions', 'genericPromotionExclusions', 'genericTypeRank',
## 'getShape', 'getTypeObject', 'handleError', 'identity', 'indices',
## 'info', 'innerproduct', 'inputarray', 'isBigEndian',
## 'kroneckerproduct', 'lexsort', 'libnumarray', 'libnumeric',
## 'load', 'make_ufuncs', 'math', 'memory',
## 'numarrayall', 'numarraycore', 'numerictypes', 'numinclude',
## 'operator', 'os', 'outerproduct', 'pi', 'put', 'putmask',
## 'pythonTypeMap', 'pythonTypeRank', 'rank', 'repeat',
## 'reshape', 'resize', 'round', 'safethread', 'save', 'scalarTypeMap',
## 'scalarTypes', 'searchsorted', 'session', 'shape', 'sign', 'size',
## 'sometrue', 'sort', 'swapaxes', 'sys', 'take', 'tcode',
## 'tensormultiply', 'tname', 'trace', 'transpose', 'typeDict',
## 'typecode', 'typecodes', 'typeconv', 'types', 'ufunc',
## 'ufuncFactory', 'value', 'ieeemask', 'cumproduct', 'cumsum',
## 'nonzero']
__all__ = ['asarray', 'ones', 'zeros', 'array', 'where']
__all__ += ['vdot', 'dot', 'matrixmultiply', 'ravel', 'indices',
'arange', 'concatenate']
from numpy import dot as matrixmultiply, dot, vdot, ravel, concatenate
def array(sequence=None, typecode=None, copy=1, savespace=0,
type=None, shape=None, dtype=None):
dtype = type2dtype(typecode, type, dtype)
if sequence is None:
if shape is None:
return None
if dtype is None:
dtype = 'l'
return N.empty(shape, dtype)
arr = N.array(sequence, dtype, copy=copy)
if shape is not None:
arr.shape = shape
return arr
def asarray(seq, type=None, typecode=None, dtype=None):
if seq is None:
return None
dtype = type2dtype(typecode, type, dtype)
return N.array(seq, dtype, copy=0)
def ones(shape, type=None, typecode=None, dtype=None):
dtype = type2dtype(typecode, type, dtype)
return N.ones(shape, dtype)
def zeros(shape, type=None, typecode=None, dtype=None):
dtype = type2dtype(typecode, type, dtype)
return N.zeros(shape, dtype)
def where(condition, x=None, y=None, out=None):
if x is None and y is None:
arr = N.where(condition)
else:
arr = N.where(condition, x, y)
if out is not None:
out[...] = arr
return out
return arr
def indices(shape, type=None):
return N.indices(shape, type)
def arange(a1, a2=None, stride=1, type=None, shape=None,
typecode=None, dtype=None):
dtype = type2dtype(typecode, type, dtype)
return N.arange(a1, a2, stride, dtype)
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