def __init__(self, delimiter=None, comments=asbytes('#'), autostrip=True):
self.comments = comments
# Delimiter is a character
if isinstance(delimiter, unicode):
delimiter = delimiter.encode('ascii')
if (delimiter is None) or _is_bytes_like(delimiter):
delimiter = delimiter or None
_handyman = self._delimited_splitter
# Delimiter is a list of field widths
elif hasattr(delimiter, '__iter__'):
_handyman = self._variablewidth_splitter
idx = np.cumsum([0] + list(delimiter))
delimiter = [slice(i, j) for (i, j) in zip(idx[:-1], idx[1:])]
# Delimiter is a single integer
elif int(delimiter):
(_handyman, delimiter) = (
self._fixedwidth_splitter, int(delimiter))
else:
(_handyman, delimiter) = (self._delimited_splitter, None)
self.delimiter = delimiter
if autostrip:
self._handyman = self.autostrip(_handyman)
else:
self._handyman = _handyman
#
python类int()的实例源码
def _strict_call(self, value):
try:
# We check if we can convert the value using the current function
new_value = self.func(value)
# In addition to having to check whether func can convert the
# value, we also have to make sure that we don't get overflow
# errors for integers.
if self.func is int:
try:
np.array(value, dtype=self.type)
except OverflowError:
raise ValueError
# We're still here so we can now return the new value
return new_value
except ValueError:
if value.strip() in self.missing_values:
if not self._status:
self._checked = False
return self.default
raise ValueError("Cannot convert string '%s'" % value)
#
def __init__(self, delimiter=None, comments=asbytes('#'), autostrip=True):
self.comments = comments
# Delimiter is a character
if isinstance(delimiter, unicode):
delimiter = delimiter.encode('ascii')
if (delimiter is None) or _is_bytes_like(delimiter):
delimiter = delimiter or None
_handyman = self._delimited_splitter
# Delimiter is a list of field widths
elif hasattr(delimiter, '__iter__'):
_handyman = self._variablewidth_splitter
idx = np.cumsum([0] + list(delimiter))
delimiter = [slice(i, j) for (i, j) in zip(idx[:-1], idx[1:])]
# Delimiter is a single integer
elif int(delimiter):
(_handyman, delimiter) = (
self._fixedwidth_splitter, int(delimiter))
else:
(_handyman, delimiter) = (self._delimited_splitter, None)
self.delimiter = delimiter
if autostrip:
self._handyman = self.autostrip(_handyman)
else:
self._handyman = _handyman
#
def _strict_call(self, value):
try:
# We check if we can convert the value using the current function
new_value = self.func(value)
# In addition to having to check whether func can convert the
# value, we also have to make sure that we don't get overflow
# errors for integers.
if self.func is int:
try:
np.array(value, dtype=self.type)
except OverflowError:
raise ValueError
# We're still here so we can now return the new value
return new_value
except ValueError:
if value.strip() in self.missing_values:
if not self._status:
self._checked = False
return self.default
raise ValueError("Cannot convert string '%s'" % value)
#
def handle_elif(self, span, cond):
'''Should be called to signalize an elif directive.
Args:
span (tuple of int): Start and end line of the directive.
cond (str): String representation of the branching condition.
'''
self._check_for_open_block(span, 'elif')
block = self._open_blocks[-1]
directive, _, spans = block[0:3]
self._check_if_matches_last(directive, 'if', spans[-1], span, 'elif')
conds, contents = block[3:5]
conds.append(cond)
contents.append(self._curnode)
spans.append(span)
self._curnode = []
def handle_enddef(self, span, name):
'''Should be called to signalize an enddef directive.
Args:
span (tuple of int): Start and end line of the directive.
name (str): Name of the enddef statement. Could be None, if enddef
was specified without name.
'''
self._check_for_open_block(span, 'enddef')
block = self._open_blocks.pop(-1)
directive, fname, spans = block[0:3]
self._check_if_matches_last(directive, 'def', spans[-1], span, 'enddef')
defname, argexpr, dummy = block[3:6]
if name is not None and name != defname:
msg = "wrong name in enddef directive "\
"(expected '{0}', got '{1}')".format(defname, name)
raise FyppFatalError(msg, fname, span)
spans.append(span)
block = (directive, fname, spans, defname, argexpr, self._curnode)
self._curnode = self._path.pop(-1)
self._curnode.append(block)
def handle_nextarg(self, span, name):
'''Should be called to signalize a nextarg directive.
Args:
span (tuple of int): Start and end line of the directive.
name (str or None): Name of the argument following next or
None if it should be the next positional argument.
'''
self._check_for_open_block(span, 'nextarg')
block = self._open_blocks[-1]
directive, fname, spans = block[0:3]
self._check_if_matches_last(
directive, 'call', spans[-1], span, 'nextarg')
args, argnames = block[5:7]
args.append(self._curnode)
spans.append(span)
if name is not None:
argnames.append(name)
elif argnames:
msg = 'non-keyword argument following keyword argument'
raise FyppFatalError(msg, fname, span)
self._curnode = []
def _set_array_types():
ibytes = [1, 2, 4, 8, 16, 32, 64]
fbytes = [2, 4, 8, 10, 12, 16, 32, 64]
for bytes in ibytes:
bits = 8*bytes
_add_array_type('int', bits)
_add_array_type('uint', bits)
for bytes in fbytes:
bits = 8*bytes
_add_array_type('float', bits)
_add_array_type('complex', 2*bits)
_gi = dtype('p')
if _gi.type not in sctypes['int']:
indx = 0
sz = _gi.itemsize
_lst = sctypes['int']
while (indx < len(_lst) and sz >= _lst[indx](0).itemsize):
indx += 1
sctypes['int'].insert(indx, _gi.type)
sctypes['uint'].insert(indx, dtype('P').type)
def __init__(self, delimiter=None, comments=asbytes('#'), autostrip=True):
self.comments = comments
# Delimiter is a character
if isinstance(delimiter, unicode):
delimiter = delimiter.encode('ascii')
if (delimiter is None) or _is_bytes_like(delimiter):
delimiter = delimiter or None
_handyman = self._delimited_splitter
# Delimiter is a list of field widths
elif hasattr(delimiter, '__iter__'):
_handyman = self._variablewidth_splitter
idx = np.cumsum([0] + list(delimiter))
delimiter = [slice(i, j) for (i, j) in zip(idx[:-1], idx[1:])]
# Delimiter is a single integer
elif int(delimiter):
(_handyman, delimiter) = (
self._fixedwidth_splitter, int(delimiter))
else:
(_handyman, delimiter) = (self._delimited_splitter, None)
self.delimiter = delimiter
if autostrip:
self._handyman = self.autostrip(_handyman)
else:
self._handyman = _handyman
#
def _strict_call(self, value):
try:
# We check if we can convert the value using the current function
new_value = self.func(value)
# In addition to having to check whether func can convert the
# value, we also have to make sure that we don't get overflow
# errors for integers.
if self.func is int:
try:
np.array(value, dtype=self.type)
except OverflowError:
raise ValueError
# We're still here so we can now return the new value
return new_value
except ValueError:
if value.strip() in self.missing_values:
if not self._status:
self._checked = False
return self.default
raise ValueError("Cannot convert string '%s'" % value)
#
def _set_array_types():
ibytes = [1, 2, 4, 8, 16, 32, 64]
fbytes = [2, 4, 8, 10, 12, 16, 32, 64]
for bytes in ibytes:
bits = 8*bytes
_add_array_type('int', bits)
_add_array_type('uint', bits)
for bytes in fbytes:
bits = 8*bytes
_add_array_type('float', bits)
_add_array_type('complex', 2*bits)
_gi = dtype('p')
if _gi.type not in sctypes['int']:
indx = 0
sz = _gi.itemsize
_lst = sctypes['int']
while (indx < len(_lst) and sz >= _lst[indx](0).itemsize):
indx += 1
sctypes['int'].insert(indx, _gi.type)
sctypes['uint'].insert(indx, dtype('P').type)
def __init__(self, delimiter=None, comments=asbytes('#'), autostrip=True):
self.comments = comments
# Delimiter is a character
if isinstance(delimiter, unicode):
delimiter = delimiter.encode('ascii')
if (delimiter is None) or _is_bytes_like(delimiter):
delimiter = delimiter or None
_handyman = self._delimited_splitter
# Delimiter is a list of field widths
elif hasattr(delimiter, '__iter__'):
_handyman = self._variablewidth_splitter
idx = np.cumsum([0] + list(delimiter))
delimiter = [slice(i, j) for (i, j) in zip(idx[:-1], idx[1:])]
# Delimiter is a single integer
elif int(delimiter):
(_handyman, delimiter) = (
self._fixedwidth_splitter, int(delimiter))
else:
(_handyman, delimiter) = (self._delimited_splitter, None)
self.delimiter = delimiter
if autostrip:
self._handyman = self.autostrip(_handyman)
else:
self._handyman = _handyman
#
def _strict_call(self, value):
try:
# We check if we can convert the value using the current function
new_value = self.func(value)
# In addition to having to check whether func can convert the
# value, we also have to make sure that we don't get overflow
# errors for integers.
if self.func is int:
try:
np.array(value, dtype=self.type)
except OverflowError:
raise ValueError
# We're still here so we can now return the new value
return new_value
except ValueError:
if value.strip() in self.missing_values:
if not self._status:
self._checked = False
return self.default
raise ValueError("Cannot convert string '%s'" % value)
#
def _set_array_types():
ibytes = [1, 2, 4, 8, 16, 32, 64]
fbytes = [2, 4, 8, 10, 12, 16, 32, 64]
for bytes in ibytes:
bits = 8*bytes
_add_array_type('int', bits)
_add_array_type('uint', bits)
for bytes in fbytes:
bits = 8*bytes
_add_array_type('float', bits)
_add_array_type('complex', 2*bits)
_gi = dtype('p')
if _gi.type not in sctypes['int']:
indx = 0
sz = _gi.itemsize
_lst = sctypes['int']
while (indx < len(_lst) and sz >= _lst[indx](0).itemsize):
indx += 1
sctypes['int'].insert(indx, _gi.type)
sctypes['uint'].insert(indx, dtype('P').type)
def __init__(self, delimiter=None, comments=asbytes('#'), autostrip=True):
self.comments = comments
# Delimiter is a character
if isinstance(delimiter, unicode):
delimiter = delimiter.encode('ascii')
if (delimiter is None) or _is_bytes_like(delimiter):
delimiter = delimiter or None
_handyman = self._delimited_splitter
# Delimiter is a list of field widths
elif hasattr(delimiter, '__iter__'):
_handyman = self._variablewidth_splitter
idx = np.cumsum([0] + list(delimiter))
delimiter = [slice(i, j) for (i, j) in zip(idx[:-1], idx[1:])]
# Delimiter is a single integer
elif int(delimiter):
(_handyman, delimiter) = (
self._fixedwidth_splitter, int(delimiter))
else:
(_handyman, delimiter) = (self._delimited_splitter, None)
self.delimiter = delimiter
if autostrip:
self._handyman = self.autostrip(_handyman)
else:
self._handyman = _handyman
#
def _strict_call(self, value):
try:
# We check if we can convert the value using the current function
new_value = self.func(value)
# In addition to having to check whether func can convert the
# value, we also have to make sure that we don't get overflow
# errors for integers.
if self.func is int:
try:
np.array(value, dtype=self.type)
except OverflowError:
raise ValueError
# We're still here so we can now return the new value
return new_value
except ValueError:
if value.strip() in self.missing_values:
if not self._status:
self._checked = False
return self.default
raise ValueError("Cannot convert string '%s'" % value)
#
def _set_array_types():
ibytes = [1, 2, 4, 8, 16, 32, 64]
fbytes = [2, 4, 8, 10, 12, 16, 32, 64]
for bytes in ibytes:
bits = 8*bytes
_add_array_type('int', bits)
_add_array_type('uint', bits)
for bytes in fbytes:
bits = 8*bytes
_add_array_type('float', bits)
_add_array_type('complex', 2*bits)
_gi = dtype('p')
if _gi.type not in sctypes['int']:
indx = 0
sz = _gi.itemsize
_lst = sctypes['int']
while (indx < len(_lst) and sz >= _lst[indx](0).itemsize):
indx += 1
sctypes['int'].insert(indx, _gi.type)
sctypes['uint'].insert(indx, dtype('P').type)
def __init__(self, delimiter=None, comments=asbytes('#'), autostrip=True):
self.comments = comments
# Delimiter is a character
if isinstance(delimiter, unicode):
delimiter = delimiter.encode('ascii')
if (delimiter is None) or _is_bytes_like(delimiter):
delimiter = delimiter or None
_handyman = self._delimited_splitter
# Delimiter is a list of field widths
elif hasattr(delimiter, '__iter__'):
_handyman = self._variablewidth_splitter
idx = np.cumsum([0] + list(delimiter))
delimiter = [slice(i, j) for (i, j) in zip(idx[:-1], idx[1:])]
# Delimiter is a single integer
elif int(delimiter):
(_handyman, delimiter) = (
self._fixedwidth_splitter, int(delimiter))
else:
(_handyman, delimiter) = (self._delimited_splitter, None)
self.delimiter = delimiter
if autostrip:
self._handyman = self.autostrip(_handyman)
else:
self._handyman = _handyman
#
def _strict_call(self, value):
try:
# We check if we can convert the value using the current function
new_value = self.func(value)
# In addition to having to check whether func can convert the
# value, we also have to make sure that we don't get overflow
# errors for integers.
if self.func is int:
try:
np.array(value, dtype=self.type)
except OverflowError:
raise ValueError
# We're still here so we can now return the new value
return new_value
except ValueError:
if value.strip() in self.missing_values:
if not self._status:
self._checked = False
return self.default
raise ValueError("Cannot convert string '%s'" % value)
#
def _evalname(name):
k = 0
for ch in name:
if ch in '0123456789':
break
k += 1
try:
bits = int(name[k:])
except ValueError:
bits = 0
base = name[:k]
return base, bits
def _add_aliases():
for a in typeinfo.keys():
name = english_lower(a)
if not isinstance(typeinfo[a], tuple):
continue
typeobj = typeinfo[a][-1]
# insert bit-width version for this class (if relevant)
base, bit, char = bitname(typeobj)
if base[-3:] == 'int' or char[0] in 'ui':
continue
if base != '':
myname = "%s%d" % (base, bit)
if ((name != 'longdouble' and name != 'clongdouble') or
myname not in allTypes.keys()):
allTypes[myname] = typeobj
sctypeDict[myname] = typeobj
if base == 'complex':
na_name = '%s%d' % (english_capitalize(base), bit//2)
elif base == 'bool':
na_name = english_capitalize(base)
sctypeDict[na_name] = typeobj
else:
na_name = "%s%d" % (english_capitalize(base), bit)
sctypeDict[na_name] = typeobj
sctypeNA[na_name] = typeobj
sctypeDict[na_name] = typeobj
sctypeNA[typeobj] = na_name
sctypeNA[typeinfo[a][0]] = na_name
if char != '':
sctypeDict[char] = typeobj
sctypeNA[char] = na_name
def _add_integer_aliases():
_ctypes = ['LONG', 'LONGLONG', 'INT', 'SHORT', 'BYTE']
for ctype in _ctypes:
val = typeinfo[ctype]
bits = val[2]
charname = 'i%d' % (bits//8,)
ucharname = 'u%d' % (bits//8,)
intname = 'int%d' % bits
UIntname = 'UInt%d' % bits
Intname = 'Int%d' % bits
uval = typeinfo['U'+ctype]
typeobj = val[-1]
utypeobj = uval[-1]
if intname not in allTypes.keys():
uintname = 'uint%d' % bits
allTypes[intname] = typeobj
allTypes[uintname] = utypeobj
sctypeDict[intname] = typeobj
sctypeDict[uintname] = utypeobj
sctypeDict[Intname] = typeobj
sctypeDict[UIntname] = utypeobj
sctypeDict[charname] = typeobj
sctypeDict[ucharname] = utypeobj
sctypeNA[Intname] = typeobj
sctypeNA[UIntname] = utypeobj
sctypeNA[charname] = typeobj
sctypeNA[ucharname] = utypeobj
sctypeNA[typeobj] = Intname
sctypeNA[utypeobj] = UIntname
sctypeNA[val[0]] = Intname
sctypeNA[uval[0]] = UIntname
def _set_array_types():
ibytes = [1, 2, 4, 8, 16, 32, 64]
fbytes = [2, 4, 8, 10, 12, 16, 32, 64]
for bytes in ibytes:
bits = 8*bytes
_add_array_type('int', bits)
_add_array_type('uint', bits)
for bytes in fbytes:
bits = 8*bytes
_add_array_type('float', bits)
_add_array_type('complex', 2*bits)
_gi = dtype('p')
if _gi.type not in sctypes['int']:
indx = 0
sz = _gi.itemsize
_lst = sctypes['int']
while (indx < len(_lst) and sz >= _lst[indx](0).itemsize):
indx += 1
sctypes['int'].insert(indx, _gi.type)
sctypes['uint'].insert(indx, dtype('P').type)
def issubclass_(arg1, arg2):
"""
Determine if a class is a subclass of a second class.
`issubclass_` is equivalent to the Python built-in ``issubclass``,
except that it returns False instead of raising a TypeError if one
of the arguments is not a class.
Parameters
----------
arg1 : class
Input class. True is returned if `arg1` is a subclass of `arg2`.
arg2 : class or tuple of classes.
Input class. If a tuple of classes, True is returned if `arg1` is a
subclass of any of the tuple elements.
Returns
-------
out : bool
Whether `arg1` is a subclass of `arg2` or not.
See Also
--------
issubsctype, issubdtype, issctype
Examples
--------
>>> np.issubclass_(np.int32, np.int)
True
>>> np.issubclass_(np.int32, np.float)
False
"""
try:
return issubclass(arg1, arg2)
except TypeError:
return False
def issubsctype(arg1, arg2):
"""
Determine if the first argument is a subclass of the second argument.
Parameters
----------
arg1, arg2 : dtype or dtype specifier
Data-types.
Returns
-------
out : bool
The result.
See Also
--------
issctype, issubdtype,obj2sctype
Examples
--------
>>> np.issubsctype('S8', str)
True
>>> np.issubsctype(np.array([1]), np.int)
True
>>> np.issubsctype(np.array([1]), np.float)
False
"""
return issubclass(obj2sctype(arg1), obj2sctype(arg2))
def flatten_dtype(ndtype, flatten_base=False):
"""
Unpack a structured data-type by collapsing nested fields and/or fields
with a shape.
Note that the field names are lost.
Parameters
----------
ndtype : dtype
The datatype to collapse
flatten_base : {False, True}, optional
Whether to transform a field with a shape into several fields or not.
Examples
--------
>>> dt = np.dtype([('name', 'S4'), ('x', float), ('y', float),
... ('block', int, (2, 3))])
>>> np.lib._iotools.flatten_dtype(dt)
[dtype('|S4'), dtype('float64'), dtype('float64'), dtype('int32')]
>>> np.lib._iotools.flatten_dtype(dt, flatten_base=True)
[dtype('|S4'), dtype('float64'), dtype('float64'), dtype('int32'),
dtype('int32'), dtype('int32'), dtype('int32'), dtype('int32'),
dtype('int32')]
"""
names = ndtype.names
if names is None:
if flatten_base:
return [ndtype.base] * int(np.prod(ndtype.shape))
return [ndtype.base]
else:
types = []
for field in names:
info = ndtype.fields[field]
flat_dt = flatten_dtype(info[0], flatten_base)
types.extend(flat_dt)
return types
def _evalname(name):
k = 0
for ch in name:
if ch in '0123456789':
break
k += 1
try:
bits = int(name[k:])
except ValueError:
bits = 0
base = name[:k]
return base, bits
def _add_aliases():
for a in typeinfo.keys():
name = english_lower(a)
if not isinstance(typeinfo[a], tuple):
continue
typeobj = typeinfo[a][-1]
# insert bit-width version for this class (if relevant)
base, bit, char = bitname(typeobj)
if base[-3:] == 'int' or char[0] in 'ui':
continue
if base != '':
myname = "%s%d" % (base, bit)
if ((name != 'longdouble' and name != 'clongdouble') or
myname not in allTypes.keys()):
allTypes[myname] = typeobj
sctypeDict[myname] = typeobj
if base == 'complex':
na_name = '%s%d' % (english_capitalize(base), bit//2)
elif base == 'bool':
na_name = english_capitalize(base)
sctypeDict[na_name] = typeobj
else:
na_name = "%s%d" % (english_capitalize(base), bit)
sctypeDict[na_name] = typeobj
sctypeNA[na_name] = typeobj
sctypeDict[na_name] = typeobj
sctypeNA[typeobj] = na_name
sctypeNA[typeinfo[a][0]] = na_name
if char != '':
sctypeDict[char] = typeobj
sctypeNA[char] = na_name
def _add_integer_aliases():
_ctypes = ['LONG', 'LONGLONG', 'INT', 'SHORT', 'BYTE']
for ctype in _ctypes:
val = typeinfo[ctype]
bits = val[2]
charname = 'i%d' % (bits//8,)
ucharname = 'u%d' % (bits//8,)
intname = 'int%d' % bits
UIntname = 'UInt%d' % bits
Intname = 'Int%d' % bits
uval = typeinfo['U'+ctype]
typeobj = val[-1]
utypeobj = uval[-1]
if intname not in allTypes.keys():
uintname = 'uint%d' % bits
allTypes[intname] = typeobj
allTypes[uintname] = utypeobj
sctypeDict[intname] = typeobj
sctypeDict[uintname] = utypeobj
sctypeDict[Intname] = typeobj
sctypeDict[UIntname] = utypeobj
sctypeDict[charname] = typeobj
sctypeDict[ucharname] = utypeobj
sctypeNA[Intname] = typeobj
sctypeNA[UIntname] = utypeobj
sctypeNA[charname] = typeobj
sctypeNA[ucharname] = utypeobj
sctypeNA[typeobj] = Intname
sctypeNA[utypeobj] = UIntname
sctypeNA[val[0]] = Intname
sctypeNA[uval[0]] = UIntname
def _set_array_types():
ibytes = [1, 2, 4, 8, 16, 32, 64]
fbytes = [2, 4, 8, 10, 12, 16, 32, 64]
for bytes in ibytes:
bits = 8*bytes
_add_array_type('int', bits)
_add_array_type('uint', bits)
for bytes in fbytes:
bits = 8*bytes
_add_array_type('float', bits)
_add_array_type('complex', 2*bits)
_gi = dtype('p')
if _gi.type not in sctypes['int']:
indx = 0
sz = _gi.itemsize
_lst = sctypes['int']
while (indx < len(_lst) and sz >= _lst[indx](0).itemsize):
indx += 1
sctypes['int'].insert(indx, _gi.type)
sctypes['uint'].insert(indx, dtype('P').type)
