Create a branch for io work in NumPy

1 files changed, 0 insertions, 175 deletions

diff --git a/numpy/lib/getlimits.py b/numpy/lib/getlimits.py
deleted file mode 100644
index 00c3ea846..000000000
--- a/numpy/lib/getlimits.py
+++ /dev/null
@@ -1,175 +0,0 @@
-""" Machine limits for Float32 and Float64 and (long double) if available...
-"""
-
-__all__ = ['finfo','iinfo']
-
-from machar import MachAr
-import numpy.core.numeric as numeric
-import numpy.core.numerictypes as ntypes
-from numpy.core.numeric import array
-import numpy as N
-
-def _frz(a):
-    """fix rank-0 --> rank-1"""
-    if a.ndim == 0: a.shape = (1,)
-    return a
-
-_convert_to_float = {
-    ntypes.csingle: ntypes.single,
-    ntypes.complex_: ntypes.float_,
-    ntypes.clongfloat: ntypes.longfloat
-    }
-
-class finfo(object):
-    """Machine limits for floating point types.
-
-    :Parameters:
-        dtype : floating point type or instance
-
-    :SeeAlso:
-      - numpy.lib.machar.MachAr
-
-    """
-
-    _finfo_cache = {}
-
-    def __new__(cls, dtype):
-        obj = cls._finfo_cache.get(dtype,None)
-        if obj is not None:
-            return obj
-        dtypes = [dtype]
-        newdtype = numeric.obj2sctype(dtype)
-        if newdtype is not dtype:
-            dtypes.append(newdtype)
-            dtype = newdtype
-        if not issubclass(dtype, numeric.inexact):
-            raise ValueError, "data type %r not inexact" % (dtype)
-        obj = cls._finfo_cache.get(dtype,None)
-        if obj is not None:
-            return obj
-        if not issubclass(dtype, numeric.floating):
-            newdtype = _convert_to_float[dtype]
-            if newdtype is not dtype:
-                dtypes.append(newdtype)
-                dtype = newdtype
-        obj = cls._finfo_cache.get(dtype,None)
-        if obj is not None:
-            return obj
-        obj = object.__new__(cls)._init(dtype)
-        for dt in dtypes:
-            cls._finfo_cache[dt] = obj
-        return obj
-
-    def _init(self, dtype):
-        self.dtype = dtype
-        if dtype is ntypes.double:
-            itype = ntypes.int64
-            fmt = '%24.16e'
-            precname = 'double'
-        elif dtype is ntypes.single:
-            itype = ntypes.int32
-            fmt = '%15.7e'
-            precname = 'single'
-        elif dtype is ntypes.longdouble:
-            itype = ntypes.longlong
-            fmt = '%s'
-            precname = 'long double'
-        else:
-            raise ValueError, repr(dtype)
-
-        machar = MachAr(lambda v:array([v], dtype),
-                        lambda v:_frz(v.astype(itype))[0],
-                        lambda v:array(_frz(v)[0], dtype),
-                        lambda v: fmt % array(_frz(v)[0], dtype),
-                        'numpy %s precision floating point number' % precname)
-
-        for word in ['precision', 'iexp',
-                     'maxexp','minexp','negep',
-                     'machep']:
-            setattr(self,word,getattr(machar, word))
-        for word in ['tiny','resolution','epsneg']:
-            setattr(self,word,getattr(machar, word).squeeze())
-        self.max = machar.huge.flat[0]
-        self.min = -self.max
-        self.eps = machar.eps.flat[0]
-        self.nexp = machar.iexp
-        self.nmant = machar.it
-        self.machar = machar
-        self._str_tiny = machar._str_xmin
-        self._str_max = machar._str_xmax
-        self._str_epsneg = machar._str_epsneg
-        self._str_eps = machar._str_eps
-        self._str_resolution = machar._str_resolution
-        return self
-
-    def __str__(self):
-        return '''\
-Machine parameters for %(dtype)s
----------------------------------------------------------------------
-precision=%(precision)3s   resolution=%(_str_resolution)s
-machep=%(machep)6s   eps=     %(_str_eps)s
-negep =%(negep)6s   epsneg=  %(_str_epsneg)s
-minexp=%(minexp)6s   tiny=    %(_str_tiny)s
-maxexp=%(maxexp)6s   max=     %(_str_max)s
-nexp  =%(nexp)6s   min=       -max
----------------------------------------------------------------------
-''' % self.__dict__
-
-
-class iinfo:
-    """Limits for integer types.
-
-    :Parameters:
-        type : integer type or instance
-
-    """
-
-    _min_vals = {}
-    _max_vals = {}
-
-    def __init__(self, type):
-        self.dtype = N.dtype(type)
-        self.kind = self.dtype.kind
-        self.bits = self.dtype.itemsize * 8
-        self.key = "%s%d" % (self.kind, self.bits)
-        if not self.kind in 'iu':
-            raise ValueError("Invalid integer data type.")
-
-    def min(self):
-        """Minimum value of given dtype."""
-        if self.kind == 'u':
-            return 0
-        else:
-            try:
-                val = iinfo._min_vals[self.key]
-            except KeyError:
-                val = int(-(1L << (self.bits-1)))
-                iinfo._min_vals[self.key] = val
-            return val
-
-    min = property(min)
-
-    def max(self):
-        """Maximum value of given dtype."""
-        try:
-            val = iinfo._max_vals[self.key]
-        except KeyError:
-            if self.kind == 'u':
-                val = int((1L << self.bits) - 1)
-            else:
-                val = int((1L << (self.bits-1)) - 1)
-            iinfo._max_vals[self.key] = val
-        return val
-
-    max = property(max)
-
-if __name__ == '__main__':
-    f = finfo(ntypes.single)
-    print 'single epsilon:',f.eps
-    print 'single tiny:',f.tiny
-    f = finfo(ntypes.float)
-    print 'float epsilon:',f.eps
-    print 'float tiny:',f.tiny
-    f = finfo(ntypes.longfloat)
-    print 'longfloat epsilon:',f.eps
-    print 'longfloat tiny:',f.tiny