py_oneliner
A Library build with a propose, single line console print across project to avoid unnecessary console prints. The Library has the capability to handle all print statements in one line across the project.
When there are several tasks to be looped, which also have their own sub task, and these sub task have to be looped over, Therefore, knowing the status of each loop, during execution is essential, or, knowing where the code has reached for that matter, keeping all that in mind, the library is design to just display the sequence of execution in one-line console print, so user is aware about the progress.
Installation
pip install py-oneliner
Usage
One Line Print
from py_oneliner import one_liner
one_liner.one_line(tag="TEST", tag_data="TESTING PRINT")One Line Print with Reset
to_reset_data will reset the fused print statement when specified tag is encountered
from py_oneliner import one_liner
one_liner.one_line(tag="TEST", tag_data="TESTING PRINT", to_reset_data=True)Example
WithOut Color
from py_oneliner import one_liner
Stages = ["Start", "Middle", "End"]
for s in Stages:
one_liner.one_line(tag=s, tag_data=s, to_reset_data=True)
for i, j1 in enumerate(2 * [1]):
one_liner.one_line("first_loop", f"{i + 1}/{2}")
for i, j1 in enumerate(3 * [1]):
one_liner.one_line(
"second_loop", f"{i + 1}/{3}"
)
for x, y in enumerate(2 * [1]):
one_liner.one_line(
"second_loop_nested_1",
f"{x + 1}/{2}",
)
With Color
from py_oneliner import one_liner
Stages = ["Start", "Middle", "End"]
for s in Stages:
one_liner.one_line(tag=s, tag_data=s, to_reset_data=True)
for i, j1 in enumerate(2 * [1]):
one_liner.one_line("first_loop", f"{i + 1}/{2}", tag_color="red", tag_data_color="green")
for i, j1 in enumerate(3 * [1]):
one_liner.one_line(
"second_loop", f"{i + 1}/{3}", tag_color="yellow", tag_data_color="grey"
)
for x, y in enumerate(2 * [1]):
one_liner.one_line(
"second_loop_nested_1",
f"{x + 1}/{2}",
tag_color="magenta",
tag_data_color="cyan"
)
