sverhoeven

sverhoeven

Convert GENEActiv file to json for use in https://github.com/NLeSC/eEcology-Annotation-UI

Requirements

R libraries:

• GENEAread
• littler
• docopt

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"""Script to swap donor/acceptor in pharmacophore database file

original enum is
Enum({'LIPO': 0, 'POSC': 1, 'HACC': 4, 'NEGC': 2, 'AROM': 5, 'HDON': 3})

corrected enum is
Enum({'LIPO': 0, 'POSC': 1, 'HACC': 3, 'NEGC': 2, 'AROM': 5, 'HDON': 4})
"""

import sys

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. ~/miniconda3/bin/activate rsd
# in new shell
git clone [email protected]:research-software-directory/auth-github.git
cd auth-github
# Created Github oauth app with http://localhost:8000 as callback
# Filled .env with random JWT_SECRET and GITHUB_CLIENT_ID, GITHUB_CLIENT_SECRET
pip install -r requirements.txt 
export $(cat .env | xargs)
python app.py

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#!/usr/bin/env python3
import argparse
import os

import yaml
from ecmwfapi import ECMWFDataServer

parser = argparse.ArgumentParser(description='''
Script to download era-interim files so it can be cmorized and used by esmvaltool recipes.

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def simfun1(factor=3.0):
    # just some nonsense to demonstrate usage of a parameter 
    # when comparing 2 spectrums

    def implementation(spectrum, reference_spectrum):
        print(spectrum)
        print(reference_spectrum)
        print(factor)
        return (max(spectrum) + max(reference_spectrum) ) * factor;

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Snippet

date

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[tool.poetry]
name = "evaluate-gc"
version = "0.1.0"
description = ""
authors = ["Stefan Verhoeven <[email protected]>"]

[tool.poetry.dependencies]
python = "^3.6"
celery = {extras = ["redis"], version = "^4.4.5"}

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{
  "$schema": "https://vega.github.io/schema/vega-lite/v4.json",
  "width": 800,
  "height": 600,
  "layer": [
    {
      "data": {"sequence": {"start": -20, "stop": 20, "step": 0.1, "as": "x"}},
      "transform": [
        {
          "calculate": "datum.x * datum.x * datum.x - datum.x * datum.x + 2",

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{
  "$schema": "https://vega.github.io/schema/vega-lite/v4.json",
  "width": 800,
  "height": 600,
  "title": {"text": "2x^3 - 4x^2 + 6", "fontSize": 20, "fontWeight": "normal"},
  "layer": [
    {
      "data": {"sequence": {"start": -4, "stop": 4, "step": 0.1, "as": "x"}},
      "transform": [
        {