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"""Find import and import from statements
"""
import ast

from pathlib import Path


class ImportRecord:
    @classmethod
    def toplevel_imports(cls, root: Path, prune: list[str] = None) -> list[str]:

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""" short module description goes here.

Longer module description goes here.
"""

from typing import List, Union


__author__ = "[email protected]"

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#!/usr/bin/env python3

""" a quick and dirty books query thing

"""

from pprint import pprint

import requests

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#!/usr/bin/env python3

from string import digits
from typing import List, Tuple


def make_number_lists(base: str = None) -> Tuple[List[str], List[str]]:

    base = base or digits[1:]

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{"caused_by":"macos","macos_version":"Mac OS X 11.3.1 (20E241)","os_version":"Bridge OS 5.3 (18P4556)","macos_system_state":"running","incident_id":"5D23D70E-B825-42B6-AA03-135B7361F5C4","timestamp":"2021-05-19 16:30:12.00 +0000","bug_type":"210"}
{
  "binaryImages" : [
    [
      "3fa744a7-0f34-36da-aa6d-f6503a3176ed",
      18446744005107531776,
      "K"
    ],
    [
      "00000000-0000-0000-0000-000000000000",

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import hid

d = hid.device()
d.open(0x2c0d, 1)

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# Makefile - Generate HTML, PDF, EPUB, MOBI from ASC

# This is how you assign a string to a variable name in 'make'. The
# variable name doesn't have to be all caps and the equal doesn't have
# to be snugged up to the variable name; it's just how I write
# Makefiles

FILENAME= the_document

# $(IDENTIFIER) is how you reference a 'make' variable, you can use

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#!/usr/bin/env python3

""" short module description

Longer module description goes here. 
"""

from collections import defaultdict
from dateutil.parser import parse

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from dateutil.parser import parse
import re
import datetime


def get_min_max_amount_of_commits(
    commit_log: str = commits, year: int = None
) -> (str, str):
    """
    Calculate the amount of inserts / deletes per month from the

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#!/usr/bin/env python3

import click
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

# Requirements:
# python3 -m pip install -U click pandas matplotlib numpy xlwt