Coverage for /pythoncovmergedfiles/medio/medio/usr/local/lib/python3.8/site-packages/pandas/core/computation/common.py: 21%

1from __future__ import annotations 

2 

3from functools import reduce 

4 

5import numpy as np 

6 

7from pandas._config import get_option 

8 

9 

10def ensure_decoded(s) -> str: 

11 """ 

12 If we have bytes, decode them to unicode. 

13 """ 

14 if isinstance(s, (np.bytes_, bytes)): 

15 s = s.decode(get_option("display.encoding")) 

16 return s 

17 

18 

19def result_type_many(*arrays_and_dtypes): 

20 """ 

21 Wrapper around numpy.result_type which overcomes the NPY_MAXARGS (32) 

22 argument limit. 

23 """ 

24 try: 

25 return np.result_type(*arrays_and_dtypes) 

26 except ValueError: 

27 # we have > NPY_MAXARGS terms in our expression 

28 return reduce(np.result_type, arrays_and_dtypes) 

29 except TypeError: 

30 from pandas.core.dtypes.cast import find_common_type 

31 from pandas.core.dtypes.common import is_extension_array_dtype 

32 

33 arr_and_dtypes = list(arrays_and_dtypes) 

34 ea_dtypes, non_ea_dtypes = [], [] 

35 for arr_or_dtype in arr_and_dtypes: 

36 if is_extension_array_dtype(arr_or_dtype): 

37 ea_dtypes.append(arr_or_dtype) 

38 else: 

39 non_ea_dtypes.append(arr_or_dtype) 

40 

41 if non_ea_dtypes: 

42 try: 

43 np_dtype = np.result_type(*non_ea_dtypes) 

44 except ValueError: 

45 np_dtype = reduce(np.result_type, arrays_and_dtypes) 

46 return find_common_type(ea_dtypes + [np_dtype]) 

47 

48 return find_common_type(ea_dtypes)