How to use 'np.argsort descending' in Python

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96def sort(x, dim=None, descending=False):
97 if dim is None:
98 dim = -1
99 ascend = not descending
100 # TODO this isn't an ideal implementation.
101 val = F.sort(x, axis=dim, is_ascend=ascend)
102 idx = F.argsort(x, axis=dim, is_ascend=ascend)
103 idx = F.cast(idx, dtype='int64')
104 return val, idx
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2963def hpat_pandas_series_argsort_noidx_impl(self, axis=0, kind='quicksort', order=None):
2964 sort = numpy.argsort(self._data, kind='mergesort')
2965 na = self.isna().sum()
2966 result = numpy.empty(len(self._data), dtype=numpy.int64)
2967 na_data_arr = hpat.hiframes.api.get_nan_mask(self._data)
2968 sort_nona = numpy.argsort(self._data[~na_data_arr], kind='mergesort')
2969 q = 0
2970 for id, i in enumerate(sort):
2971 if id not in list(sort[len(self._data) - na:]):
2972 result[id] = sort_nona[id - q]
2973 else:
2974 q += 1
2975 for i in sort[len(self._data) - na:]:
2976 result[i] = -1
2977
2978 return pandas.Series(result)

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