Jon Crall Erotemic
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Erotemic
/ napkin_math_hospotializations_by_age_2021.py
Created
July 30, 2021 01:59
Napkin Math Hospitalizations By Age
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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 |
Erotemic
/ autogen_skimage_filters_init.py
Created
December 24, 2020 19:39
Demo auto-generated version of skimage.filters
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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(): |
Erotemic
/ debug_memory.py
Created
October 13, 2020 23:39
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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 |
Erotemic
/ gist:244890e27b37aa2219ac2f3414f8c302
Created
February 9, 2019 17:44
cant find temp ninja error
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| (py36) joncrall@Ooo:~/code/netharn$ python setup.py build | |
| -------------------------------------------------------------------------------- | |
| -- Trying "Ninja" generator | |
| -------------------------------- | |
| --------------------------- | |
| ---------------------- | |
| ----------------- | |
| ------------ |
Erotemic
/ gist:1f9b19ad1d116c9731ce7f446f020ce4
Created
February 9, 2019 17:41
cant find numpy error with pip install
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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) |
Erotemic
/ ggr_matching.py
Created
January 12, 2019 05:38
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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 |
Erotemic
/ ubuntu_setup_venv3_standalone.sh
Last active
December 19, 2018 16:46
The setup_venv3 bash command sets up a python3 virtual environment on a fresh ubuntu install. The file contains quite a few helper functions that make the actual implementation of setup_venv3 rather short.
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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 |
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| import scipy | |
| import scipy.ndimage | |
| import numpy as np | |
| import ubelt as ub | |
| def g(f, s, **kw): | |
| """ | |
| Apply a gaussian filter to an input signal |
Erotemic
/ benchmark_pandas.py
Last active
October 18, 2018 14:30
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| def benchmark_pandas(): | |
| import timerit | |
| import pandas as pd | |
| import numpy as np | |
| column_data = { | |
| key: np.random.rand(1000) | |
| for key in map(chr, range(ord('a'), ord('z'))) | |
| } |
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| Timer unit: 1e-06 s | |
| Pystone time: 0.026254 s | |
| File: /home/joncrall/code/netharn/netharn/models/yolo2/light_region_loss.py | |
| Function: _build_targets_tensor at line 382 | |
| Line # Hits Time Per Hit % Time Line Contents | |
| ============================================================== | |
| 382 @profiler.profile |