neubig

openapi: "3.0.0"
info:
  version: 1.0.0
  title: Swagger Petstore
  license:
    name: MIT
servers:
  - url: http://petstore.swagger.io/v1
paths:
  /pets:

neubig

package edu.cmu.empty;

import com.intellij.openapi.actionSystem.AnAction;
import com.intellij.openapi.actionSystem.AnActionEvent;
import com.intellij.openapi.project.Project;
import com.intellij.openapi.ui.Messages;
import com.intellij.openapi.ui.popup.JBPopupFactory;
import com.intellij.openapi.ui.popup.ListPopup;
import com.intellij.openapi.ui.popup.PopupStep;
import com.intellij.openapi.ui.popup.util.BaseListPopupStep;

neubig

#!/usr/bin/python

from nltk.tree import Tree
import sys

# A program to display parse trees (in Penn treebank format) with NLTK
#
#  To install NLTK on ubuntu: sudo apt-get install python-nltk

for line in sys.stdin:

neubig

import sys
import re
from collections import defaultdict

# This is a script to identify pronouns in Japanese
# It requires data segmented by KyTea (http://www.phontron.com/kytea/)
#
# If you have raw Japanese text (with no spaces), use this script like:
#  cat japanese.txt | kytea | python identify_japanese_pronouns.py > japanese_with_pronouns.txt
#

neubig

import openreview
import argparse
import requests
import time
import sys
import csv
import json
from tqdm import tqdm  # Progress bar

# This is a utility script to get a CSV of papers from semantic scholar given OpenReview ids

neubig

#!/usr/bin/perl
# This is a script to change KyTea's POS tags in Japanese to English 
# abbreviations

use strict;
use utf8;
use Getopt::Long;
use List::Util qw(sum min max shuffle);
binmode STDIN, ":utf8";
binmode STDOUT, ":utf8";

neubig

#!/usr/bin/python

# crf.py (by Graham Neubig)
#  This script trains conditional random fields (CRFs)
#  stdin: A corpus of WORD_POS WORD_POS WORD_POS sentences
#  stdout: Feature vectors for emission and transition properties

from collections import defaultdict
from math import log, exp
import sys

neubig

#!/usr/bin/python

from math import exp
import numpy as np
import matplotlib.pyplot as plt

def rbf_kernel(x1, x2, variance = 1):
    return exp(-1 * ((x1-x2) ** 2) / (2*variance))

def gram_matrix(xs):

neubig

import requests
import sys
import time

sleep_time = 20
def query_api(url, session):
  global sleep_time
  time.sleep(sleep_time / 1000.0)
  r = session.get(url)
  while r.status_code == 429:

neubig

import numpy as np
import sys

################# Explanation ##################
# This is a function to calculate house prices h(x) = -40 + 0.25x
# The first term (-40) is the base price, and "x" is the number of square feet in the house
################################################

# Set up the function
my_function = np.array([-40, 0.25])