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gristlabs_grist-core/sandbox/grist/functions/logical.py

166 lines
3.8 KiB

from .info import lazy_value_or_error, is_error
from usertypes import AltText # pylint: disable=unused-import,import-error
def AND(logical_expression, *logical_expressions):
"""
Returns True if all of the arguments are logically true, and False if any are false.
Same as `all([value1, value2, ...])`.
>>> AND(1)
True
>>> AND(0)
False
>>> AND(1, 1)
True
>>> AND(1,2,3,4)
True
>>> AND(1,2,3,4,0)
False
"""
return all((logical_expression,) + logical_expressions)
def FALSE():
"""
Returns the logical value `False`. You may also use the value `False` directly. This
function is provided primarily for compatibility with other spreadsheet programs.
>>> FALSE()
False
"""
return False
def IF(logical_expression, value_if_true, value_if_false):
"""
Returns one value if a logical expression is `True` and another if it is `False`.
The equivalent Python expression is:
```
value_if_true if logical_expression else value_if_false
```
Since Grist supports multi-line formulas, you may also use Python blocks such as:
```
if logical_expression:
return value_if_true
else:
return value_if_false
```
NOTE: Grist follows Excel model by only evaluating one of the value expressions, by
automatically wrapping the expressions to use lazy evaluation. This allows `IF(False, 1/0, 1)`
to evaluate to `1` rather than raise an exception.
>>> IF(12, "Yes", "No")
'Yes'
>>> IF(None, "Yes", "No")
'No'
>>> IF(True, 0.85, 0.0)
0.85
>>> IF(False, 0.85, 0.0)
0.0
More tests:
>>> IF(True, lambda: (1/0), lambda: (17)) # doctest: +IGNORE_EXCEPTION_DETAIL
Traceback (most recent call last):
...
ZeroDivisionError: integer division or modulo by zero
>>> IF(False, lambda: (1/0), lambda: (17))
17
"""
return lazy_value(value_if_true) if logical_expression else lazy_value(value_if_false)
def IFERROR(value, value_if_error=""):
"""
Returns the first argument if it is not an error value, otherwise returns the second argument if
present, or a blank if the second argument is absent.
NOTE: Grist handles values that raise an exception by wrapping them to use lazy evaluation.
>>> IFERROR(float('nan'), "**NAN**")
'**NAN**'
>>> IFERROR(17.17, "**NAN**")
17.17
>>> IFERROR("Text")
'Text'
>>> IFERROR(AltText("hello"))
''
More tests:
>>> IFERROR(lambda: (1/0.1), "X")
10.0
>>> IFERROR(lambda: (1/0.0), "X")
'X'
>>> IFERROR(lambda: AltText("A"), "err")
'err'
>>> IFERROR(lambda: None, "err")
>>> IFERROR(lambda: foo.bar, 123)
123
>>> IFERROR(lambda: "test".bar(), 123)
123
>>> IFERROR(lambda: "test".bar())
''
>>> IFERROR(lambda: "test".upper(), 123)
'TEST'
"""
value = lazy_value_or_error(value)
return value if not is_error(value) else value_if_error
def NOT(logical_expression):
"""
Returns the opposite of a logical value: `NOT(True)` returns `False`; `NOT(False)` returns
`True`. Same as `not logical_expression`.
>>> NOT(123)
False
>>> NOT(0)
True
"""
return not logical_expression
def OR(logical_expression, *logical_expressions):
"""
Returns True if any of the arguments is logically true, and false if all of the
arguments are false.
Same as `any([value1, value2, ...])`.
>>> OR(1)
True
>>> OR(0)
False
>>> OR(1, 1)
True
>>> OR(0, 1)
True
>>> OR(0, 0)
False
>>> OR(0,False,0.0,"",None)
False
>>> OR(0,None,3,0)
True
"""
return any((logical_expression,) + logical_expressions)
def TRUE():
"""
Returns the logical value `True`. You may also use the value `True` directly. This
function is provided primarily for compatibility with other spreadsheet programs.
>>> TRUE()
True
"""
return True
def lazy_value(value):
"""
Evaluates a lazy value by calling it when it's a callable, or returns it unchanged otherwise.
"""
return value() if callable(value) else value