I see a "pipe" character (|) used in a function call:
res = c1.create(go, come, swim, "", startTime, endTime, "OK", ax|bx)
What is the meaning of the pipe in ax|bx?
Pipe is a beautiful package that takes Python's ability to handle data to the next level. It takes a SQL-like declarative approach to manipulate elements in a collection. It could filter, transform, sort, remove duplicates, perform group by operations, and a lot more without needing to write a gazillion lines of code.
|= on Booleans The Python |= operator when applied to two Boolean values A and B performs the logical OR operation A | B and assigns the result to the first operand A . As a result, operand A is False if both A and B are False and True otherwise.
In programming, the double pipe "||" is used to represent an OR boolean operator.
The double pipe "||" is a logical or, and can be used in logical statements, like "x == 0 || x == 1". Here's an example of what the bitwise or does: if a=0101 and b=0011, then a|b=0111.
This is also the union set operator
set([1,2]) | set([2,3])
This will result in set([1, 2, 3])
It is a bitwise OR of integers. For example, if one or both of ax or bx are 1, this evaluates to 1, otherwise to 0. It also works on other integers, for example 15 | 128 = 143, i.e. 00001111 | 10000000 = 10001111 in binary.
Yep, all answers above are correct.
Although you could find more exotic use cases for "|", if it is an overloaded operator used by a class, for example,
https://github.com/twitter/pycascading/wiki#pycascading
input = flow.source(Hfs(TextLine(), 'input_file.txt'))
output = flow.sink(Hfs(TextDelimited(), 'output_folder'))
input | map_replace(split_words, 'word') | group_by('word', native.count()) | output
In this specific use case pipe "|" operator can be better thought as a unix pipe operator. But I agree, bit-wise operator and union set operator are much more common use cases for "|" in Python.
In Python 3.9 - PEP 584 - Add Union Operators To dict in the section titled Specification, the operator is explained. The pipe was enhanced to merge (union) dictionaries.
>>> d = {'spam': 1, 'eggs': 2, 'cheese': 3}
>>> e = {'cheese': 4, 'nut': 5}
>>> d | e
{'spam': 1, 'eggs': 2, 'cheese': 4, 'nut': 5} # comment 1
>>> e | d
{'cheese': 3, 'nut': 5, 'spam': 1, 'eggs': 2} # comment 2
comment 1 If a key appears in both operands, the last-seen value (i.e. that from the right-hand operand) wins --> 'cheese': 4 instead of 'cheese': 3
comment 2 cheese appears twice, the second value is selected so d[cheese]=3
Bitwise OR.
It is a bitwise-or.
The documentation for all operators in Python can be found in the Index - Symbols page of the Python documentation.
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