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Downloading https://pvsc.azureedge.net/python-language-server-daily/Python-Language-Server-osx-x64.0.4.67.nupkg...
Language server dowload complete
Unpacking archive... done
[Info - 2:43:08 PM] Microsoft Python Language Server version 0.4.67.0
[Info - 2:43:08 PM] Workspace root: /Users/malmaud/dropbox/code/qa
[Info - 2:43:08 PM] Analysis cache path: /Users/malmaud/Library/Caches/Microsoft/Python Language Server
[Info - 2:43:08 PM] GetCurrentSearchPaths /Users/malmaud/anaconda3/bin/python
[Info - 2:43:09 PM] Interpreter search paths:
[Info - 2:43:09 PM] /Users/malmaud/.vscode/extensions/ms-python.python-2019.10.41019/languageServer.0.4.67
View trace
[Info - 3:46:00 PM] Microsoft Python Language Server version 0.4.20.0
[Info - 3:46:00 PM] Workspace root: /Users/malmaud/tmp/ttest
[Info - 3:46:01 PM] Analysis cache path: /Users/malmaud/Library/Caches/Microsoft/Python Language Server
[Info - 3:46:01 PM] GetCurrentSearchPaths /anaconda3/bin/python
[Info - 3:46:01 PM] Interpreter search paths:
[Info - 3:46:01 PM] /Users/malmaud/.vscode/extensions/ms-python.python-2019.9.34911/languageServer.0.4.20
[Info - 3:46:01 PM] /anaconda3/lib/python3.7
[Info - 3:46:01 PM] /anaconda3/lib/python3.7/lib-dynload
[Info - 3:46:01 PM] /Users/malmaud/.local/lib/python3.7/site-packages
[Info - 3:46:01 PM] /anaconda3/lib/python3.7/site-packages
View Language server output
Starting Microsoft Python language server.
[Info - 3:25:16 PM] GetCurrentSearchPaths /anaconda3/bin/python
[Info - 3:25:16 PM] SearchPaths:
[Info - 3:25:16 PM] /private/var/folders/t6/ddh10c6j5r54sg19jlc59n580000gn/T/bmjcc2cm.oc2
[Info - 3:25:16 PM] /anaconda3/lib/python3.7
[Info - 3:25:16 PM] /anaconda3/lib/python3.7/lib-dynload
[Info - 3:25:16 PM] /Users/malmaud/.local/lib/python3.7/site-packages
[Info - 3:25:16 PM] /anaconda3/lib/python3.7/site-packages
[Info - 3:25:16 PM] /anaconda3/lib/python3.7/site-packages/aeosa
[Info - 3:25:16 PM] /Users/malmaud/anaconda3/lib/python3.7/site-packages
@malmaud
malmaud / async_io.py
Last active Jun 22, 2018
Demo of asynchronous programming in Python
View async_io.py
import attr
from typing import *
from dataclasses import dataclass
import asyncio
import types
import re
class InputAwait:
target: str
View hi.proto
syntax="proto3";
message Hi {
repeated int32 x = 1 [packed=true];
}
View hothand.jl
function simulate(N_trials, N_runs)
outcomes=zeros(Bool, N_runs)
Σ=0.0
N=0
for trial=1:N_trials
pos=0
neg=0
for run=1:N_runs
outcomes[run]=rand(Bool)
end
View make.log
git clone -q --mirror --branch v0.23.1 git://github.com/libgit2/libgit2.git /Users/malmaud/julia_cxx/deps/srccache/libgit2.git/
# try to update the cache, if that fails, attempt to continue anyways (the ref might already be local)
cd /Users/malmaud/julia_cxx/deps/srccache/libgit2.git && git fetch -q git://github.com/libgit2/libgit2.git v0.23.1:remotes/origin/v0.23.1
git clone -q --depth=10 --branch v0.23.1 /Users/malmaud/julia_cxx/deps/srccache/libgit2.git /Users/malmaud/julia_cxx/deps/srccache/libgit2
warning: --depth is ignored in local clones; use file:// instead.
Note: checking out 'f6dedf2c2eb806e2a6fdd4cf31f68386efc2ee0b'.
You are in 'detached HEAD' state. You can look around, make experimental
changes and commit them, and you can discard any commits you make in this
state without impacting any branches by performing another checkout.
View in.jl
function f(x, N)
res = false
for n=1:N
res = res || (x==1 || x==2)
end
res
end
function g(x, N)
res =false
View analyze.jl
using Pandas
using PyPlot
function to_df()
issues = deserialize(open("issues.jld"))
df = DataFrame(issues)
for datecol in ["closed_at", "created_at"]
df[datecol] = to_datetime(df[datecol])
end
to_pickle(df, "issues.pickle")
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