phaustin

import trio

WORKER_COUNT = 10

async def worker(receive_chan):
    # Trick: each url gets its own clone of the send channel
    # After processing a URL, we close its clone
    # That way, when all the URLs are done, all the send clones will be
    # closed, so the 'async for ... in receive_chan' will automatically exit.
    async for send_chan, url in receive_chan:

phaustin

- name: Install Conda
  block:
    - name: Download Miniconda
      get_url:
        url: https://repo.continuum.io/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh
        dest: /tmp/install-miniconda.sh
        checksum: md5:a946ea1d0c4a642ddf0c3a26a18bb16d
        mode: 0550
    - name: Create conda folder

phaustin

> conda activate dtox38
(dtox38):repos/jupyter-book
> tox -e py38-sphinx3
GLOB sdist-make: C:\Users\Phil\repos\jupyter-book\setup.py
py38-sphinx3 inst-nodeps: C:\Users\Phil\repos\jupyter-book\.tox\.tmp\package\2\jupyter-book-0.8.0.zip
py38-sphinx3 installed: alabaster==0.7.12,altair==4.1.0,apipkg==1.5,appdirs==1.4.4,argon2-cffi==20.1.0,async-generator==1.10,atomicwrites==1.4.0,attrs==20.1.0,Babel==2.8.0,backcall==0.2.0,beautifulsoup4==4.9.1,bleach==3.1.5,bokeh==2.2.1,branca==0.4.1,certifi==2020.6.20,cffi==1.14.2,chardet==3.0.4,click==7.1.2,colorama==0.4.3,coverage==5.2.1,cycler==0.10.0,decorator==4.4.2,defusedxml==0.6.0,docutils==0.16,entrypoints==0.3,execnet==1.7.1,folium==0.11.0,gitdb==4.0.5,GitPython==3.1.7,idna==2.10,imagesize==1.2.0,importlib-metadata==1.7.0,ipykernel==5.3.4,ipython==7.18.1,ipython-genutils==0.2.0,ipywidgets==7.5.1,jedi==0.17.2,Jinja2==2.11.2,jsonschema==3.2.0,jupyter-book @ file:///C:/Users/Phil/repos/jupyter-book/.tox/.tmp/package/2/jupyter-book-0.8.0.zip,jupyter-cache==0.4.1,jupyter-c

phaustin

(minitox):Users/Phil
> conda create -n dtox37 python=3.7 tox git pip

(minitox):Users/Phil
> conda activate dtox37
> tox -e py37-sphinx3
GLOB sdist-make: C:\Users\Phil\repos\jupyter-book\setup.py
py37-sphinx3 recreate: C:\Users\Phil\repos\jupyter-book\.tox\py37-sphinx3
py37-sphinx3 installdeps: sphinx>=3,<4
py37-sphinx3 inst: C:\Users\Phil\repos\jupyter-book\.tox\.tmp\package\1\jupyter-book-0.8.0.zip

phaustin

> pytest -vv tests
============================= test session starts =============================
platform win32 -- Python 3.8.5, pytest-3.10.1, py-1.9.0, pluggy-0.13.1 -- c:\users\phil\minjn20\envs\v0.8_3.8\python.exe
cachedir: .pytest_cache
JB TEMPDIR: <TEMP>
rootdir: C:\Users\Phil\repos\jupyter-book, inifile: tox.ini
plugins: cov-2.10.1, datadir-1.3.1, forked-1.3.0, regressions-2.0.1, timeout-1.4.2, xdist-2.1.0
timeout: 100.0s
timeout method: thread
timeout func_only: False

phaustin

> pytest -vv tests
============================= test session starts =============================
platform win32 -- Python 3.7.8, pytest-3.10.1, py-1.9.0, pluggy-0.13.1 -- c:\users\phil\minjn20\envs\v0.8\python.exe
cachedir: .pytest_cache
JB TEMPDIR: <TEMP>
rootdir: C:\Users\Phil\repos\jupyter-book, inifile: tox.ini
plugins: cov-2.10.1, datadir-1.3.1, forked-1.3.0, regressions-2.0.1, timeout-1.4.2, xdist-2.1.0
timeout: 100.0s
timeout method: thread
timeout func_only: False

phaustin

Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.

In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j

phaustin

from contextlib import asynccontextmanager
from string import ascii_letters
from typing import Dict

import attr
from trio import (
    BrokenResourceError,
    ClosedResourceError,
    Lock,
    MemoryReceiveChannel,

phaustin

1. explain the new major (and here is Uqam's)

2. review how we're coping with specialized courses like dynamics/cloud physics/boundary layers (essentially by admitting undergrads to grad courses),

3. data science

a) committee report

phaustin

Marking guide for Language and Literacy Education

rubric https://lled.educ.ubc.ca/courses/grading-categories/

Work of outstanding quality A+ 90–100
A 85–89
A− 80–84