phargogh

import json
import sys
import os
import importlib
import pkgutil

import natcap.invest

module_stack = list(pkgutil.iter_modules(
    natcap.invest.__path__, natcap.invest.__name__ + '.'))

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import time
import os

from natcap.invest import stormwater
import pygeoprocessing
from osgeo import gdal, osr
import numpy
import numpy.random

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import timeit

SETUP = 'import numpy'
SHAPE = 10000
ZEROS = (
    'a=numpy.zeros(10000, dtype={dtype}); '
    'b=numpy.zeros(10000, dtype={dtype}); x=a+b')
ONES = (
    'a=numpy.zeros(10000, dtype={dtype}); '
    'b=numpy.zeros(10000, dtype={dtype}); x=a+b')

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import os

import pygeoprocessing
import numpy
from osgeo import gdal, osr
_PROJECTION_SRS = osr.SpatialReference()
_PROJECTION_SRS.ImportFromEPSG(26910)  # UTM Zone 10N
PROJECTION_WKT = _PROJECTION_SRS.ExportToWkt()
# taken from https://spatialreference.org/ref/epsg/26910/
ORIGIN = (224215.8977, 3810589.9220)

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mandoc -Tmarkdown /usr/share/man/man1/sed.1 | pandoc -f markdown -t epub --metadata title="Man 1 Sed" > man1sed.epub

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import time

import numpy.random
from numba import njit


@njit
def function():
    size = 10000
    arrays = [numpy.random.rand(size, size) for i in range(5)]

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"""Randomly generate office hours rotations for the defined dates.

This was brought up as a possible way of randomly picking office hours
assignments during the original trial run of office hours in September, 2021.
"""

import random

# Group Wednesday-to-following-Monday
# This is because of the labor day holiday on Monday the 6th that offsets the

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To use this:

1. Download all of the pygeoprocessing archives from github actions.
2. Place all downloads into a single folder.
3. Open a bash shell in this new folder that contains the archives.
4. Run the find command noted in this gist.
5. Proceed with the wheel/sdist upload via twine.

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.PHONY: all clean

WITHREADLINE := withreadline.txt
WITHOUTREADLINE := withoutreadline.txt
WITHOUTREADLINEBYLINE := withoutreadlinebyline.txt
SAMPLE := sample.txt

all: $(WITHREADLINE) $(WITHOUTREADLINE) $(WITHOUTREADLINEBYLINE)

clean:

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#!/bin/bash
curl https://pypi.org/pypi/numpy/json | jq '..|.filename?' | grep \.whl | grep 310