#!/usr/bin/env python
# -*- coding: UTF-8 -*-
#
# Copyright 2016-2020 European Commission (JRC);
# Licensed under the EUPL (the 'Licence');
# You may not use this work except in compliance with the Licence.
# You may obtain a copy of the Licence at: http://ec.europa.eu/idabc/eupl
"""
Python equivalents of logical Excel functions.
"""
import functools
import numpy as np
from . import (
wrap_ufunc, Error, flatten, get_error, value_return, wrap_func, raise_errors
)
FUNCTIONS = {}
[docs]def xif(condition, x=True, y=False):
if isinstance(condition, str):
return Error.errors['#VALUE!']
return x if condition else y
[docs]def solve_cycle(*args):
return not args[0]
FUNCTIONS['IF'] = {
'function': wrap_ufunc(
xif, input_parser=lambda *a: a, return_func=value_return,
check_error=lambda cond, *a: get_error(cond)
),
'solve_cycle': solve_cycle
}
[docs]def xiferror(val, val_if_error):
from .info import iserror
return val_if_error if iserror(val) else val
# noinspection PyUnusedLocal
[docs]def xiferror_return(res, val, val_if_error):
res._collapse_value = list(flatten(val_if_error, None))[0]
return res
FUNCTIONS['IFERROR'] = {
'function': wrap_ufunc(
xiferror, input_parser=lambda *a: a, check_error=lambda *a: False,
return_func=xiferror_return
),
'solve_cycle': solve_cycle
}
[docs]def xswitch(val, *args):
if isinstance(val, bool):
condition = lambda x: val is x
else:
condition = lambda x: val == x
for k, v in zip(args[::2], args[1::2]):
if isinstance(k, Error):
return k
elif condition(k):
return v
else:
return args[-1] if len(args) % 2 else Error.errors['#N/A']
FUNCTIONS["_XLFN.SWITCH"] = FUNCTIONS["SWITCH"] = {
'function': wrap_ufunc(
xswitch, input_parser=lambda *a: a, return_func=value_return,
check_error=lambda first, *a: get_error(first),
)
}
[docs]def xand(logical, *logicals, func=np.logical_and.reduce):
check, arr = lambda x: not raise_errors(x) and not isinstance(x, str), []
for a in (logical,) + logicals:
v = list(flatten(a, check=check))
arr.extend(v)
if not v and not isinstance(a, np.ndarray):
return Error.errors['#VALUE!']
return func(arr) if arr else Error.errors['#VALUE!']
FUNCTIONS['AND'] = {'function': wrap_func(xand)}
FUNCTIONS['OR'] = {'function': wrap_func(
functools.partial(xand, func=np.logical_or.reduce)
)}
FUNCTIONS['_XLFN.XOR'] = FUNCTIONS['XOR'] = {'function': wrap_func(
functools.partial(xand, func=np.logical_xor.reduce)
)}
FUNCTIONS['NOT'] = {'function': wrap_ufunc(
np.logical_not, input_parser=lambda *a: a, return_func=value_return
)}
def _true():
return True
def _false():
return False
FUNCTIONS['TRUE'] = wrap_func(_true)
FUNCTIONS['FALSE'] = wrap_func(_false)