def execute(self, interp):
arr = self.args[0].execute(interp)
if not isinstance(arr, W_NDimArray):
raise ArgumentNotAnArray
if self.name in SINGLE_ARG_FUNCTIONS:
if len(self.args) != 1 and self.name != 'sum':
raise ArgumentMismatch
if self.name == "sum":
if len(self.args) > 1:
var = self.args[1]
if isinstance(var, DtypeClass):
w_res = arr.descr_sum(interp.space, None,
var.execute(interp))
else:
w_res = arr.descr_sum(interp.space,
self.args[1].execute(interp))
else:
w_res = arr.descr_sum(interp.space)
elif self.name == "prod":
w_res = arr.descr_prod(interp.space)
elif self.name == "max":
w_res = arr.descr_max(interp.space)
elif self.name == "min":
w_res = arr.descr_min(interp.space)
elif self.name == "any":
w_res = arr.descr_any(interp.space)
elif self.name == "all":
w_res = arr.descr_all(interp.space)
elif self.name == "cumsum":
w_res = arr.descr_cumsum(interp.space)
elif self.name == "logical_xor_reduce":
logical_xor = ufuncs.get(interp.space).logical_xor
w_res = logical_xor.reduce(interp.space, arr, None)
elif self.name == "unegative":
neg = ufuncs.get(interp.space).negative
w_res = neg.call(interp.space, [arr], None, 'unsafe', None)
elif self.name == "cos":
cos = ufuncs.get(interp.space).cos
w_res = cos.call(interp.space, [arr], None, 'unsafe', None)
elif self.name == "flat":
w_res = arr.descr_get_flatiter(interp.space)
elif self.name == "argsort":
w_res = arr.descr_argsort(interp.space)
elif self.name == "tostring":
arr.descr_tostring(interp.space)
w_res = None
else:
assert False # unreachable code
elif self.name in TWO_ARG_FUNCTIONS:
if len(self.args) != 2:
raise ArgumentMismatch
arg = self.args[1].execute(interp)
if not isinstance(arg, W_NDimArray):
raise ArgumentNotAnArray
if self.name == "dot":
w_res = arr.descr_dot(interp.space, arg)
elif self.name == 'multiply':
w_res = arr.descr_mul(interp.space, arg)
elif self.name == 'take':
w_res = arr.descr_take(interp.space, arg)
elif self.name == "searchsorted":
w_res = arr.descr_searchsorted(interp.space, arg,
interp.space.newtext('left'))
else:
assert False # unreachable code
elif self.name in THREE_ARG_FUNCTIONS:
if len(self.args) != 3:
raise ArgumentMismatch
arg1 = self.args[1].execute(interp)
arg2 = self.args[2].execute(interp)
if not isinstance(arg1, W_NDimArray):
raise ArgumentNotAnArray
if not isinstance(arg2, W_NDimArray):
raise ArgumentNotAnArray
if self.name == "where":
w_res = where(interp.space, arr, arg1, arg2)
else:
assert False # unreachable code
elif self.name in TWO_ARG_FUNCTIONS_OR_NONE:
if len(self.args) != 2:
raise ArgumentMismatch
arg = self.args[1].execute(interp)
if self.name == 'view':
w_res = arr.descr_view(interp.space, arg)
elif self.name == 'astype':
w_res = arr.descr_astype(interp.space, arg)
elif self.name == 'reshape':
w_arg = self.args[1]
assert isinstance(w_arg, ArrayConstant)
order = -1
w_res = arr.reshape(interp.space, w_arg.wrap(interp.space),
order)
else:
assert False
else:
raise WrongFunctionName
if isinstance(w_res, W_NDimArray):
return w_res
if isinstance(w_res, FloatObject):
dtype = get_dtype_cache(interp.space).w_float64dtype
elif isinstance(w_res, IntObject):
dtype = get_dtype_cache(interp.space).w_int64dtype
elif isinstance(w_res, BoolObject):
dtype = get_dtype_cache(interp.space).w_booldtype
elif isinstance(w_res, boxes.W_GenericBox):
dtype = w_res.get_dtype(interp.space)
else:
dtype = None
return W_NDimArray.new_scalar(interp.space, dtype, w_res)
def impl(self, space, w_other, w_out=None):
from pypy.module.micronumpy import ufuncs
return getattr(ufuncs.get(space),
ufunc_name).call(space, [w_other, self, w_out],
self.sig, self.cast, self.extobj)
def execute(self, interp):
arr = self.args[0].execute(interp)
if not isinstance(arr, W_NDimArray):
raise ArgumentNotAnArray
if self.name in SINGLE_ARG_FUNCTIONS:
if len(self.args) != 1 and self.name != 'sum':
raise ArgumentMismatch
if self.name == "sum":
if len(self.args)>1:
w_res = arr.descr_sum(interp.space,
self.args[1].execute(interp))
else:
w_res = arr.descr_sum(interp.space)
elif self.name == "prod":
w_res = arr.descr_prod(interp.space)
elif self.name == "max":
w_res = arr.descr_max(interp.space)
elif self.name == "min":
w_res = arr.descr_min(interp.space)
elif self.name == "any":
w_res = arr.descr_any(interp.space)
elif self.name == "all":
w_res = arr.descr_all(interp.space)
elif self.name == "cumsum":
w_res = arr.descr_cumsum(interp.space)
elif self.name == "logical_xor_reduce":
logical_xor = ufuncs.get(interp.space).logical_xor
w_res = logical_xor.reduce(interp.space, arr, None)
elif self.name == "unegative":
neg = ufuncs.get(interp.space).negative
w_res = neg.call(interp.space, [arr], None, None, None)
elif self.name == "cos":
cos = ufuncs.get(interp.space).cos
w_res = cos.call(interp.space, [arr], None, None, None)
elif self.name == "flat":
w_res = arr.descr_get_flatiter(interp.space)
elif self.name == "argsort":
w_res = arr.descr_argsort(interp.space)
elif self.name == "tostring":
arr.descr_tostring(interp.space)
w_res = None
else:
assert False # unreachable code
elif self.name in TWO_ARG_FUNCTIONS:
if len(self.args) != 2:
raise ArgumentMismatch
arg = self.args[1].execute(interp)
if not isinstance(arg, W_NDimArray):
raise ArgumentNotAnArray
if self.name == "dot":
w_res = arr.descr_dot(interp.space, arg)
elif self.name == 'take':
w_res = arr.descr_take(interp.space, arg)
elif self.name == "searchsorted":
w_res = arr.descr_searchsorted(interp.space, arg,
interp.space.wrap('left'))
else:
assert False # unreachable code
elif self.name in THREE_ARG_FUNCTIONS:
if len(self.args) != 3:
raise ArgumentMismatch
arg1 = self.args[1].execute(interp)
arg2 = self.args[2].execute(interp)
if not isinstance(arg1, W_NDimArray):
raise ArgumentNotAnArray
if not isinstance(arg2, W_NDimArray):
raise ArgumentNotAnArray
if self.name == "where":
w_res = where(interp.space, arr, arg1, arg2)
else:
assert False
elif self.name in TWO_ARG_FUNCTIONS_OR_NONE:
if len(self.args) != 2:
raise ArgumentMismatch
arg = self.args[1].execute(interp)
if self.name == 'view':
w_res = arr.descr_view(interp.space, arg)
elif self.name == 'astype':
w_res = arr.descr_astype(interp.space, arg)
else:
assert False
else:
raise WrongFunctionName
if isinstance(w_res, W_NDimArray):
return w_res
if isinstance(w_res, FloatObject):
dtype = get_dtype_cache(interp.space).w_float64dtype
elif isinstance(w_res, IntObject):
dtype = get_dtype_cache(interp.space).w_int64dtype
elif isinstance(w_res, BoolObject):
dtype = get_dtype_cache(interp.space).w_booldtype
elif isinstance(w_res, boxes.W_GenericBox):
dtype = w_res.get_dtype(interp.space)
else:
dtype = None
return W_NDimArray.new_scalar(interp.space, dtype, w_res)
def impl(self, space, w_other, w_out=None):
from pypy.module.micronumpy import ufuncs
return getattr(ufuncs.get(space), ufunc_name).call(
space, [w_other, self, w_out], self.sig, self.cast, self.extobj)