michaelaye

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm  # Add this import

# Generate some sample data
np.random.seed(42)
angles = np.random.uniform(0, 2*np.pi, 1000)
radii = np.random.normal(5, 1, 1000)

# Create a polar subplot

michaelaye

[1 million of these cargo warnings (more than my terminal cache allows]
cargo:warning=  657 | class WXDLLIMPEXP_FWD_CORE wxKeyEvent;
  cargo:warning=      |                            ^~~~~~~~~~
  cargo:warning=src/sys/form/form.cpp:315:9: error: invalid use of incomplete type ‘class wxKeyEvent’
  cargo:warning=  315 |         event.Skip();
  cargo:warning=      |         ^~~~~
  cargo:warning=In file included from /usr/include/wx-3.0/wx/wx.h:24,
  cargo:warning=                 from src/sys/form/../common/common.h:27,
  cargo:warning=                 from src/sys/form/form.cpp:22:
  cargo:warning=/usr/include/wx-3.0/wx/event.h:657:28: note: forward declaration of ‘class wxKeyEvent’

michaelaye

michaelaye

from configparser import ConfigParser
import subprocess

config = ConfigParser(delimiters=["="])
config.read("settings.ini")
cfg = config["DEFAULT"]
requirements = cfg.get("requirements", "").split()

with open("environment.yml", "w") as f:
    f.write("name: testenv\n")

michaelaye

"""
Export a Conda environment with --from-history, but also append
Pip-installed dependencies

Exports only manually-installed dependencies, excluding build versions, but
including Pip-installed dependencies.

Lots of issues requesting this functionality in the Conda issue tracker, no
sign of progress (as of March 2020).

michaelaye

[LabBuildApp] Building in /home/maye/miniconda3/envs/py38/share/jupyter/lab
[LabBuildApp] Node v16.10.0

[LabBuildApp] Yarn configuration loaded.
[LabBuildApp] Building jupyterlab assets (production, minimized)
[LabBuildApp] > node /home/maye/miniconda3/envs/py38/lib/python3.8/site-packages/jupyterlab/staging/yarn.js install --non-interactive
[LabBuildApp] yarn install v1.21.1
[1/5] Validating package.json...
[2/5] Resolving packages...
success Already up-to-date.

michaelaye

# taken from: https://raw.githubusercontent.com/pete88b/decision_tree/master/test_nbs.py

# We need a "test_" file with "test_" functions to make it easy to run with pytest


# couple of example "test_" functions

# import nbdev.test
# def test_run():
#     print('running nbdev.test.test_nb("20_models.ipynb") ...')

michaelaye

import os, hashlib, urllib2, optparse

def get_remote_md5_sum(url, max_file_size=100*1024*1024):
    remote = urllib2.urlopen(url)
    hash = hashlib.md5()

    total_read = 0
    while True:
        data = remote.read(4096)
        total_read += 4096

michaelaye

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from datetime import datetime as dt
from pathlib import Path

from sh import speedtest

fname = Path("multiple_connections_triton.csv")

michaelaye