def test_binary_cast_array_array_with_out_with_where_broadcast(
self, xp, op, in1, in2, out, where):
in1 = xp.array(in1)
in2 = xp.array(in2)
out = xp.array(out)
where = xp.array(where)
with testing.NumpyError(divide='ignore'):
with testing.NlcpyError(divide='ignore',
over='ignore',
invalid='ignore'):
with numpy.warnings.catch_warnings():
numpy.warnings.simplefilter('ignore', numpy.ComplexWarning)
func = getattr(xp, op)
y = func(in1, in2, out=out, where=where)
if xp is numpy and op in float16_op_set:
if in1.dtype.kind == 'b' and in2.dtype.kind == 'b':
y = func(in1,
in2,
out=out,
where=where,
dtype='f4')
return y
if xp is nlcpy:
nlcpy.request.flush()
return y
def test_binary_cast_scalar_scalar_with_out_with_where(
self, xp, op, in1, in2, out, where):
out = xp.array(out)
where = xp.array(where)
with testing.NumpyError(divide='ignore'):
with testing.NlcpyError(divide='ignore',
over='ignore',
invalid='ignore'):
with numpy.warnings.catch_warnings():
numpy.warnings.simplefilter('ignore', numpy.ComplexWarning)
func = getattr(xp, op)
y = func(in1, in2, out=out, where=where)
if xp is numpy and op in float16_op_set:
if isinstance(in1, bool) and \
isinstance(in2, bool):
y = func(in1,
in2,
out=out,
where=where,
dtype='f4')
return y
if xp is nlcpy:
nlcpy.request.flush()
return y
def test_unary_cast_scalar_with_dtype(self, xp, op, in1, dtype):
with testing.NumpyError(divide='ignore'):
with testing.NlcpyError(divide='ignore', over='ignore', invalid='ignore'):
func = getattr(xp, op)
y = func(in1, dtype=dtype)
if xp is nlcpy:
nlcpy.request.flush()
return y
def test_unary_cast_array(self, xp, op, in1):
in1 = xp.array(in1)
with testing.NumpyError(divide='ignore'):
with testing.NlcpyError(divide='ignore', over='ignore', invalid='ignore'):
func = getattr(xp, op)
y = func(in1)
if xp is nlcpy:
nlcpy.request.flush()
return y
def test_unary_cast_array_with_out_with_dtype(self, xp, op, in1, out, dtype):
in1 = xp.array(in1)
out = xp.array(out)
with testing.NumpyError(divide='ignore'):
with testing.NlcpyError(divide='ignore', over='ignore', invalid='ignore'):
func = getattr(xp, op)
y = func(in1, out=out, dtype=dtype)
if xp is nlcpy:
nlcpy.request.flush()
return y
def test_unary_cast_scalar_with_out_with_where_with_dtype_broadcast(
self, xp, op, in1, out, where, dtype):
out = xp.array(out)
where = xp.array(where)
with testing.NumpyError(divide='ignore'):
with testing.NlcpyError(divide='ignore', over='ignore', invalid='ignore'):
with numpy.warnings.catch_warnings():
numpy.warnings.simplefilter('ignore', numpy.ComplexWarning)
func = getattr(xp, op)
y = func(in1, out=out, where=where, dtype=dtype)
if xp is nlcpy:
nlcpy.request.flush()
return y
def test_unary_cast_scalar_with_out(self, xp, op, in1, out):
out = xp.array(out)
with testing.NumpyError(divide='ignore'):
with testing.NlcpyError(divide='ignore', over='ignore', invalid='ignore'):
func = getattr(xp, op)
y = func(in1, out=out)
if xp is numpy and op in float16_op_set:
if isinstance(in1, bool):
y = func(in1, out=out, dtype='f4')
return y
if xp is nlcpy:
nlcpy.request.flush()
return y
def test_binary_cast_scalar_scalar_with_out_with_dtype(
self, xp, op, in1, in2, out):
out = xp.array(out)
dtype = out.dtype
with testing.NumpyError(divide='ignore'):
with testing.NlcpyError(divide='ignore',
over='ignore',
invalid='ignore'):
func = getattr(xp, op)
y = func(in1, in2, out=out, dtype=dtype)
if xp is nlcpy:
nlcpy.request.flush()
return y
def test_unary_cast_array_with_out_broadcast(self, xp, op, in1, out):
in1 = xp.array(in1)
out = xp.array(out)
with testing.NumpyError(divide='ignore'):
with testing.NlcpyError(divide='ignore', over='ignore', invalid='ignore'):
func = getattr(xp, op)
y = func(in1, out=out)
if xp is numpy and op in float16_op_set:
if in1.dtype == numpy.dtype('bool'):
y = func(in1, out=out, dtype='f4')
return y
if xp is nlcpy:
nlcpy.request.flush()
return y
def test_binary_broadcast_array_array_with_where(self, xp, op, in1, in2,
out, where):
in1 = xp.array(in1)
in2 = xp.array(in2)
out = xp.array(out)
where = xp.array(where)
with testing.NumpyError(divide='ignore'):
with testing.NlcpyError(divide='ignore',
over='ignore',
invalid='ignore'):
func = getattr(xp, op)
y = func(in1, in2, out=out, where=where)
if xp is nlcpy:
nlcpy.request.flush()
return y
def test_binary_cast_array_array_with_out(self, xp, op, in1, in2, out):
in1 = xp.array(in1)
in2 = xp.array(in2)
out = xp.array(out)
with testing.NumpyError(divide='ignore'):
with testing.NlcpyError(divide='ignore',
over='ignore',
invalid='ignore'):
func = getattr(xp, op)
y = func(in1, in2, out=out)
if xp is numpy and op in float16_op_set:
if in1.dtype.kind == 'b' and in2.dtype.kind == 'b':
y = func(in1, in2, out=out, dtype='f4')
return y
if xp is nlcpy:
nlcpy.request.flush()
return y
def test_binary_cast_array_array_with_out_with_where_with_dtype(
self, xp, op, in1, in2, out, where):
in1 = xp.array(in1)
in2 = xp.array(in2)
out = xp.array(out)
where = xp.array(where)
dtype = out.dtype
with testing.NumpyError(divide='ignore'):
with testing.NlcpyError(divide='ignore',
over='ignore',
invalid='ignore'):
with numpy.warnings.catch_warnings():
numpy.warnings.simplefilter('ignore', numpy.ComplexWarning)
func = getattr(xp, op)
y = func(in1, in2, out=out, where=where, dtype=dtype)
if xp is nlcpy:
nlcpy.request.flush()
return y
