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def dvc_clean():
    import ubelt as ub
    import yaml
    dvc_root = ub.Path('.').resolve()
    subdir = dvc_root / 'MySubdirectory'
    ub.Path(ub.cmd('dvc cache dir', cwd=dvc_root, check=True)['out'].strip())

    def list_subdir_dvc_fpaths(subdir):
        dvc_fpaths = []
        prog = ub.ProgIter(desc='walking')

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# import pycodestyle
import ubelt as ub

VERBOSE = 3


def exec_flake8(dpaths, select=None, ignore=None, max_line_length=79):
    if VERBOSE > 1:
        print('ignore = {!r}'.format(ignore))
    args_list = ['--max-line-length', f'{max_line_length:d}']

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6190010320010213417794501427120152665560619838379962172624809259242413133662471762706831535160803392841378532145762285099722187617972879813538517518233083306753347260548612898631147332011693627724889751066418150260498985083827355788699194931492232877245108779894625292904047223527216984663982750718623034958051309209333582174176577416459542020450843576169829816732864243397351533895411990483910832697254726363069230161517405040607673995815031529773327058337354301354062371647075206440061759885500802331823316853484399773382885418238331848120196431594456195805808432630836739945562939048610470071338082942418797034098249235121992937130708313446300865889713718389590277346247758021822613993586445131379268791654064089880558143900268099653583909158946828975519742188414010911014106643945712874253761637932854216545020272237775646331705506726197042829531280095737537148740518436741171103518386444450294779963654796639163475149693245937407808337856106834434695344937970746060176768499672131001455338379607532097417780722737895226

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def demo_vectorized_interface():
    """
    This demonstrates how to use the kwcoco vectorized interface for images /
    categories / annotations.
    """
    import kwcoco
    import ubelt as ub
    # Dummy data for the demo
    coco_dset = kwcoco.CocoDataset.demo('vidshapes3', num_frames=5)
    # Reroot to make file-paths more readable in this demo as relative paths

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import redbaron
import ubelt as ub
import re
import xdev

# INPUT:
# fpath = <path-to-the-file>

text = open(fpath).read()

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"""
References:
    https://github.com/willmcgugan/rich/blob/master/rich/_loop.py
    https://twitter.com/graingert/status/1432827783357607937
"""
from typing import Iterable, Tuple, TypeVar

T = TypeVar("T")

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# https://gis.cdc.gov/grasp/covidnet/COVID19_5.html
# 2020-21
import ubelt as ub

US_POP_APPROX = 330e6
SAMPLE_SIZE = US_POP_APPROX * 0.1
print(SAMPLE_SIZE)

# NOTE: These are lab-verified COVID numbers. The sample size is 190509. This
# represents about 10% of the US population.  This chart says total observed

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def lazy_install(module_name, submodules, submod_attrs):
    """
    Defines gettr for lazy import via PEP 562
    https://www.python.org/dev/peps/pep-0562/
    """
    import sys
    import importlib
    import importlib.util
    all_funcs = []
    for mod, funcs in submod_attrs.items():

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"""
Experiment Script Related to Pytorch Memory Leak Issue

References:
    https://github.com/pytorch/pytorch/issues/13246
    https://gist.github.com/mprostock/2850f3cd465155689052f0fa3a177a50
"""
from torch.utils.data import Dataset, DataLoader
import numpy as np
import torch

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(py36) joncrall@Ooo:~/code/netharn$ python setup.py build


--------------------------------------------------------------------------------
-- Trying "Ninja" generator
--------------------------------
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