bfg-maputil 0.4.1

Concurrent map utility for lists, pandas Series/DataFrames with index preservation, progress, and error inspection

maputil

A concurrent map utility for lists, pandas Series, and DataFrames. Preserves indexes and shows a progress bar. Returns a Run handle for partial results and error inspection.

Features

• Concurrent execution with threads (concurrency)
• Works with lists, Series, and DataFrames
• Preserves input indexes in the output (pd.Series)
• Progress bar (terminal and Jupyter)
• Stops scheduling on first error; inspect via Run.get_err()

Example

from maputil import map2

def f(x):
    return x + 1

r = map2(f, [10, 20, 30], concurrency=4)
r.join()
print(r.get_results())  # [11, 21, 31]

With a pandas DataFrame:

import pandas as pd
from maputil import map2

df = pd.DataFrame({"x": [1, 2, 3], "y": [10, 20, 30]}, index=[10, 20, 30])

def f(row):
    return row["x"] + row["y"]

r = map2(f, df, concurrency=3)
r.join()
out = r.get_results()  # pd.Series(index=[10, 20, 30], values=[11, 22, 33])

Usage

• map2(fn, inputs, concurrency=1) -> Run
• Run.start() is idempotent; map2 starts automatically
• Run.join() waits for completion
• Run.get_results(partial=True) returns a list or pd.Series
• Run.get_err() returns a traceback string or None