提交 475fe3a0 authored 作者: Ricardo Vieira's avatar Ricardo Vieira 提交者: Ricardo Vieira

Remove unused code from numba_funcify_ScalarOp

上级 e427954b
...@@ -67,23 +67,17 @@ def numba_funcify_ScalarOp(op, node, **kwargs): ...@@ -67,23 +67,17 @@ def numba_funcify_ScalarOp(op, node, **kwargs):
cython_func = getattr(scipy.special.cython_special, scalar_func_name, None) cython_func = getattr(scipy.special.cython_special, scalar_func_name, None)
if cython_func is not None: if cython_func is not None:
# try:
scalar_func_numba = wrap_cython_function( scalar_func_numba = wrap_cython_function(
cython_func, output_dtype, input_dtypes cython_func, output_dtype, input_dtypes
) )
has_pyx_skip_dispatch = scalar_func_numba.has_pyx_skip_dispatch has_pyx_skip_dispatch = scalar_func_numba.has_pyx_skip_dispatch
input_inner_dtypes = scalar_func_numba.numpy_arg_dtypes() input_inner_dtypes = scalar_func_numba.numpy_arg_dtypes()
output_inner_dtype = scalar_func_numba.numpy_output_dtype() output_inner_dtype = scalar_func_numba.numpy_output_dtype()
# except NotImplementedError:
# pass
if scalar_func_numba is None: if scalar_func_numba is None:
scalar_func_numba = generate_fallback_impl(op, node, **kwargs) scalar_func_numba = generate_fallback_impl(op, node, **kwargs)
scalar_op_fn_name = get_name_for_object(scalar_func_numba) scalar_op_fn_name = get_name_for_object(scalar_func_numba)
unique_names = unique_name_generator(
[scalar_op_fn_name, "scalar_func_numba"], suffix_sep="_"
)
global_env = {"scalar_func_numba": scalar_func_numba} global_env = {"scalar_func_numba": scalar_func_numba}
......
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