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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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(py36) joncrall@Ooo:~/code/netharn$ ./setup.py clean && pip install -e .
Deleting directory="./__pycache__"
Deleting directory="./_skbuild"
Not deleting non-existant path="./__pycache__/skbuild_pr.cpython-36.pyc"
Obtaining file:///home/joncrall/code/netharn
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
    Preparing wheel metadata ... done
Requirement already satisfied: torch in /home/joncrall/.local/conda/envs/py36/lib/python3.6/site-packages (from netharn==0.1.8.dev0) (1.0.0)
Requirement already satisfied: tqdm in /home/joncrall/.local/conda/envs/py36/lib/python3.6/site-packages (from netharn==0.1.8.dev0) (4.23.4)

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# -*- coding: utf-8 -*-
"""
This module can be used as both a script and an importable module.
Run `python ggr_matching.py --help` for more details.
See docstring in fit for more details on the importable module.


conda install opencv
conda install pytorch torchvision -c pytorch

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__heredoc__(){ NOOP=; }


has_pymodule(){
    __heredoc__ '''
    Check if a python module is installed. Echos "True" or "False" to the
    command line depending on the result.

    Example:
        source $HOME/local/init/utils.sh