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 multiple for loops iterating over a list of task and those task, again run have sub task which again have to be looped over, Therefore knowing their 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 a 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="TEST", tag_data="TESTING PRINT", 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="TEST", tag_data="TESTING PRINT", 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"
            )