hunterhector

# code_block.py
#
# This script analyzes the source files with some markers to find
#  the line numbers of the code blocks, and then uses markdown-autodoc
#  to generate markdown files with the code blocks. One difference
#  from using markdown-autodoc directly is that one don't have to
#  hardcode the line numbers so can somehow feel free to modify the
#  source code.
#
# Usage: python code_block.py [markdown input] [markdown out] [source code]

hunterhector

hunterhector

# Install first
# conda create --name forte python=3.9 pip
# pip install forte
# pip install forte.nltk
# pip install forte.spacy

# if you want to use it in the notebook
# pip install jupyter lab

# Find our medium blog at: medium.com/casl-project/

hunterhector

{
  "name": "all_ontology",
  "definitions": [
    {
      "entry_name": "ft.onto.base_ontology.Token",
      "parent_entry": "forte.data.ontology.top.Annotation",
      "description": "A span based annotation :class:`Token`, used to represent a token or a word.",
      "attributes": [
        {
          "name": "pos",

hunterhector

import json
import urllib.request
import urllib.parse
import sys
import datetime
import os

output_dir = sys.argv[1]
apikey = sys.argv[2]

hunterhector

# Save each emoticon in a line at the EMOFILE location below
# I use this gist : https://gist.github.com/hunterhector/7458898

# Add the following to your .bash_profile to get random emoticons in your bash prompt.
# This works for Mac, change gsort to sort on general Linux distributions.

# Config Emoticon for PS1
export EMOFILE=~/.dotfiles/emoticons
export UCOLOR="\[\033[1;34m\]"
export WCOLOR="\[\033[1;39m\]"

hunterhector

#!/usr/bin/python 
import re

def regex_prime(n):
    l = "1" * n
    return re.match(r"^1?$|^(11+?)\1+$", l) == None

while True:
    n = raw_input("\nEnter a number and test for prime:")
    try:

hunterhector

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