code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
from sys import argv
from os.path import exists
set tuple script from_file to_file = argv
print string Copying from { from_file } to { to_file } The input file is { length indata } bytes long Ready, hit RETURN to continue, CTRL-C to abort.
input
write open to_file string w open read from_file
print string Alright, all ... | from sys import argv
from os.path import exists
script, from_file, to_file = argv
print(f"Copying from {from_file} to {to_file}\nThe input file is {len(indata)} bytes long\nReady, hit RETURN to continue, CTRL-C to abort.")
input()
open(to_file, 'w').write(open(from_file.read()))
print("Alright, all done.")
| Python | zaydzuhri_stack_edu_python |
function get_top_tracks api country location=none
begin
set params = dict string method string geo.getTopTracks ; string country country
if location is not none
begin
update params dict string location location
end
set data = find call _fetch_data params string toptracks
return list comprehension call Track api name=fi... | def get_top_tracks(api, country, location = None):
params = {'method': 'geo.getTopTracks', 'country': country}
if location is not None:
params.update({'location': location})
data = api._fetch_data(params).find('toptracks')
return [
Track(
... | Python | nomic_cornstack_python_v1 |
while true
begin
set nums = input string enter space separated nums
set int_nums = list map str split nums
set cleaned = list comprehension integer x for x in int_nums if is digit x
set Sum = Sum + sum cleaned
print Sum
if string ~ in nums
begin
break
end
end | while True:
nums = input("enter space separated nums")
int_nums = list(map(str, nums.split()))
cleaned = [int(x) for x in int_nums if x.isdigit()]
Sum = Sum + sum(cleaned)
print(Sum)
if '~' in nums:
break
| Python | zaydzuhri_stack_edu_python |
string Task You are given the shape of the array in the form of space-separated integers, each integer representing the size of different dimensions, your task is to print an array of the given shape and integer type using the tools numpy.zeros and numpy.ones. Input Format A single line containing the space-separated i... | """
Task
You are given the shape of the array in the form of space-separated integers, each integer representing the size of different dimensions,
your task is to print an array of the given shape and integer type using the tools numpy.zeros and numpy.ones.
Input Format
A single line containing the space-separ... | Python | zaydzuhri_stack_edu_python |
function fft2 a s=none axes=tuple - 2 - 1 norm=none
begin
return call fftn a=a s=s axes=axes norm=norm
end function | def fft2(
a: ndarray,
s: Union[Sequence[int], None] = None,
axes: Sequence[int] = (-2, -1),
norm: Union[str, None] = None,
) -> ndarray:
return fftn(a=a, s=s, axes=axes, norm=norm) | Python | nomic_cornstack_python_v1 |
function reboot_self self
begin
set restart_arguments = list argv
insert restart_arguments 0 string
call execv executable restart_arguments
exit
end function | def reboot_self(self):
restart_arguments = list(sys.argv)
restart_arguments.insert(0, '')
execv(sys.executable, restart_arguments)
sys.exit() | Python | nomic_cornstack_python_v1 |
function testLoginForms self
begin
set tuple password nick avatar = users at 0
set response = get app string /
comment there is a form with the id 'loginform'
set loginform = forms at string loginform
assert is not none loginform string no form with id loginform in the page
comment login form action should be /login
as... | def testLoginForms(self):
(password, nick, avatar) = self.users[0]
response = self.app.get('/')
# there is a form with the id 'loginform'
loginform = response.forms['loginform']
self.assertIsNotNone(loginform, "no form with id loginform in the page")
# login form acti... | Python | nomic_cornstack_python_v1 |
function Login params=none title=none
begin
set p = call Page
call content string <!DOCTYPE html>
with call html
begin
with head p
begin
with title p
begin
call content string pgui - Login
end
with call link dict string href string static/lib/bootstrap/bootstrap-3.3.4-dist/css/bootstrap.css ; string rel string styleshe... | def Login(params=None, title=None):
p = Page()
p.content('<!DOCTYPE html>')
with p.html():
with p.head():
with p.title():
p.content('pgui - Login')
with p.link({'href': 'static/lib/bootstrap/bootstrap-3.3.4-dist/css/bootstrap.css', 'rel': 'stylesheet'}): pass
... | Python | nomic_cornstack_python_v1 |
import numpy as np
import matplotlib.pyplot as plt
comment 绘制饼图
set labels = list string Python string Javascript string C++ string Java string PHP
set values = list 26 17 21 29 11
set spaces = list 0.05 0.01 0.01 0.01 0.01
set colors = list string dodgerblue string orangered string limegreen string violet string gold
... | import numpy as np
import matplotlib.pyplot as plt
# 绘制饼图
labels = ['Python', 'Javascript', 'C++',
'Java', 'PHP']
values = [26, 17, 21, 29, 11]
spaces = [0.05, 0.01, 0.01, 0.01, 0.01]
colors = ['dodgerblue', 'orangered',
'limegreen', 'violet', 'gold']
plt.figure("Pie", facecolor="lightgray")
plt.t... | Python | zaydzuhri_stack_edu_python |
comment The sum of the primes below 10 is 2 + 3 + 5 + 7 = 17.
comment Find the sum of all the primes below two million.
comment The page has been left unattended for too long and that link/button is no longer active. Please refresh the page. | # The sum of the primes below 10 is 2 + 3 + 5 + 7 = 17.
# Find the sum of all the primes below two million.
# The page has been left unattended for too long and that link/button is no longer active. Please refresh the page.
| Python | zaydzuhri_stack_edu_python |
from bs4 import BeautifulSoup
import requests , json , re
set urlToScrape = string http://www.cnbc.com
set response = get requests urlToScrape timeout=5
set content = call BeautifulSoup content string html.parser
function get_top_news_headline obj
begin
set a_tags = find all find obj string div dict string id string Ma... | from bs4 import BeautifulSoup
import requests, json, re
urlToScrape = "http://www.cnbc.com"
response = requests.get(urlToScrape, timeout=5)
content = BeautifulSoup(response.content, "html.parser")
def get_top_news_headline(obj):
a_tags = obj.find('div', {'id':'MainContent'}).find_all('a', {'href':re.compile('.*cn... | Python | zaydzuhri_stack_edu_python |
function tiered_successdf df group
begin
string Create a dataframe for success by profit tier.
set df at string count = 1
comment Create columns that track success.
set loc at tuple loc at tuple slice : : string profit >= 100000000 string BB = true
set loc at tuple loc at tuple slice : : string profit >= 10000000... | def tiered_successdf(df,group):
"""Create a dataframe for success by profit tier."""
df['count']=1
#Create columns that track success.
df.loc[df.loc[:,'profit']
>= 100000000, 'BB']=True
df.loc[(df.loc[:,'profit']
>= 10000000)
&(df.loc[:,'profit']
<100... | Python | zaydzuhri_stack_edu_python |
function call_top_interface_args_with_func_def self node
begin
comment call container is used to scope parameters
set call_con_name = call call_container_name node
comment create argument and parameter variables
comment argument variables are inputs to the top interface
comment paramter variables are outputs of the top... | def call_top_interface_args_with_func_def(self, node: AnnCastCall):
# call container is used to scope parameters
call_con_name = call_container_name(node)
# create argument and parameter variables
# argument variables are inputs to the top interface
# paramter variables are outp... | Python | nomic_cornstack_python_v1 |
function fac1 n
begin
assert n >= 0
if n == 0 or n == 1
begin
return 1
end
set prod = 1
for i in range 2 n + 1
begin
set prod = prod * i
end
return prod
end function | def fac1(n):
assert n >= 0
if n == 0 or n == 1:
return 1
prod = 1
for i in range(2,n+1):
prod = prod*i
return prod | Python | nomic_cornstack_python_v1 |
function get_species_annotation_dic csv_file
begin
string Takes as input the binary information about species annotation from Species_Annotation_fake.csv (OrtAn results) and transforms it into a dictionary where to each species is assigned a list of the KOs present in the species genome :param csv_file: str - path to S... | def get_species_annotation_dic(csv_file):
'''
Takes as input the binary information about species annotation from Species_Annotation_fake.csv (OrtAn results) and
transforms it into a dictionary where to each species is assigned a list of the KOs present in the species genome
:param csv_file: str... | Python | zaydzuhri_stack_edu_python |
function next self
begin
try
begin
set ret = next self
end
except StopIteration
begin
set __fullcache = true
raise
end
append __itercache ret
return ret
end function | def next(self):
try:
ret = PymongoCursor.next(self)
except StopIteration:
self.__fullcache = True
raise
self.__itercache.append(ret)
return ret | Python | nomic_cornstack_python_v1 |
function rest_to_html_ajax request
begin
if method != string GET and not call is_ajax
begin
raise Http404
end
set data = dict string success false
try
begin
set rest_text = GET at string rest_text
set source = GET at string source
end
except KeyError
begin
raise Http404
end
set start_time = time
try
begin
set html_text... | def rest_to_html_ajax(request):
if request.method != 'GET' and not request.is_ajax():
raise Http404
data = {'success': False}
try:
rest_text = request.GET['rest_text']
source = request.GET['source']
except KeyError:
raise Http404
start_time = time.time()
try:
... | Python | nomic_cornstack_python_v1 |
function login_attempt_record self field_data ip_id success=0
begin
set hash = call quick_hash field_data
set attempt_id = call sql string INSERT INTO login_attempts (field_data, ip_id, success) VALUES (%s, %s, %s) hash ip_id integer success
end function | def login_attempt_record(self, field_data, ip_id, success=0):
hash = quick_hash(field_data)
attempt_id = self.sql('INSERT INTO login_attempts (field_data, ip_id, success) VALUES (%s, %s, %s)', hash, ip_id, int(success))
| Python | nomic_cornstack_python_v1 |
function get_user_data self key default=none
begin
if not is instance _user_data dict
begin
return default
end
return get _user_data key
end function | def get_user_data(self, key, default=None):
if not isinstance(self._user_data, dict):
return default
return self._user_data.get(key) | Python | nomic_cornstack_python_v1 |
function solve heads legs
begin
set error_msg = string No solution
set chicken_count = 0
set rabbit_count = 0
if legs % 2 != 0 or heads == 0 or heads > legs
begin
print error_msg
end
else
begin
set rabbit_count = integer legs - 2 * heads / 2
set chicken_count = integer heads - rabbit_count
print chicken_count rabbit_co... | def solve(heads,legs):
error_msg="No solution"
chicken_count=0
rabbit_count=0
if legs%2!=0 or heads==0 or heads>legs:
print(error_msg)
else:
rabbit_count=int((legs-(2*heads))/2)
chicken_count=int(heads-rabbit_count)
print(chicken_count,rabbit_count)
solve(35... | Python | zaydzuhri_stack_edu_python |
import random
from generators.abstractgenerator import AbstractGenerator
class ItemListingGenerator extends AbstractGenerator
begin
function __init__ self listingIds itemIds currencyIds
begin
call super
call __init__
set listingIds = listingIds
set itemIds = itemIds
set currencyIds = currencyIds
set pickedListingIds = ... | import random
from generators.abstractgenerator import AbstractGenerator
class ItemListingGenerator(AbstractGenerator):
def __init__(self, listingIds: list, itemIds: list, currencyIds: list):
super()
super().__init__()
self.listingIds = listingIds
self.itemIds = itemIds
s... | Python | zaydzuhri_stack_edu_python |
from flask import Flask , render_template
set app = call Flask __name__
decorator call route string /
function index
begin
return string 안녕하세요!!!!
end function
decorator call route string /dictionary/<string:word>
function dictionary word
begin
set word_dict = dict string apple string 사과 ; string banana string 바나나 ; st... | from flask import Flask, render_template
app = Flask(__name__)
@app.route('/')
def index():
return '안녕하세요!!!!'
@app.route("/dictionary/<string:word>")
def dictionary(word):
word_dict = {'apple':'사과', 'banana':'바나나', 'orange':'오렌지', 'grape':'포도'}
return render_template('dict.html', word = word, word_dict =... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.feature_extraction.text import CountVectorizer
from sklearn import model_selection , preprocessing
from sklearn.metrics import log_loss
from sklearn.linear_model import LogisticRegression
from sklearn.model_selecti... | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.feature_extraction.text import CountVectorizer
from sklearn import model_selection, preprocessing
from sklearn.metrics import log_loss
from sklearn.linear_model import LogisticRegression
from sklearn.model_selectio... | Python | zaydzuhri_stack_edu_python |
import random
set menu = list string ピクミン string チャッピー string コガネモチ string ヘビガラス string オオパンモドキ string アメボウズ
set plice = list 200 240 330 400 300 1
set money = random integer 1000 2000
while true
begin
if length menu == 0
begin
print string すべて売り切れました
break
end
else
if money < min plice
begin
print string もう一番安いメニューすら買... | import random
menu = ['ピクミン','チャッピー','コガネモチ',
'ヘビガラス','オオパンモドキ','アメボウズ']
plice = [200,240,330,400,300,1]
money = random.randint(1000,2000)
while True:
if len(menu) == 0:
print('すべて売り切れました')
break
elif money < min(plice):
print('もう一番安いメニューすら買えなくなってしまったようです')
break
else... | Python | zaydzuhri_stack_edu_python |
comment implement knn classification and regression
import arff
import numpy as np
import math
from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import KFold
class KNN_Classification
begin
comment Read data from file and preprocess
functi... | #
# implement knn classification and regression
#
import arff
import numpy as np
import math
from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import KFold
class KNN_Classification:
#
# Read data from file and preprocess
#... | Python | zaydzuhri_stack_edu_python |
function update_velocity self
begin
set vel = call vel_func
set theta = uniform 0 2 * pi
set velocity = vel * call V cos theta sin theta
set wait = false
end function | def update_velocity(self):
vel = self.vel_func()
theta = random.uniform(0, 2 * math.pi)
self.velocity = vel * V(math.cos(theta), math.sin(theta))
self.wait = False | Python | nomic_cornstack_python_v1 |
function events_today
begin
set event_list = call get_events 0
set event_embed = call create_event_embed true
return tuple event_embed event_list
end function | def events_today() -> (discord.Embed, List[List[Event]]):
event_list = get_events(0)
event_embed = create_event_embed(True)
return event_embed, event_list | Python | nomic_cornstack_python_v1 |
function _load_local_state_dict self state_dict *args
begin
with call state_dict_type self LOCAL_STATE_DICT
begin
return load state dict self state_dict *args
end
end function | def _load_local_state_dict(
self,
state_dict: Mapping[str, Any],
*args,
) -> NamedTuple:
with self.state_dict_type(self, StateDictType.LOCAL_STATE_DICT):
return self.load_state_dict(state_dict, *args) | Python | nomic_cornstack_python_v1 |
for i in range integer input
begin
set n = integer input
set l = list comprehension integer i for i in split input
sort l
set c = 0
if length l == 1
begin
print string YES
break
end
for i in range n - 1
begin
if absolute l at i - l at i + 1 <= 1
begin
set c = c + 1
end
else
begin
set c = 0
break
end
end
if c == 0
begin... | for i in range(int(input())):
n=int(input())
l=[int(i) for i in input().split()]
l.sort()
c=0
if(len(l)==1):
print("YES")
break
for i in range(n-1):
if abs(l[i]-l[i+1])<=1:
c+=1
else:
c=0
break
if c==0:
print("NO")
... | Python | zaydzuhri_stack_edu_python |
function get_base_path filepath
begin
return directory name path filepath
end function | def get_base_path(filepath):
return os.path.dirname(filepath) | Python | nomic_cornstack_python_v1 |
from mymodules import merge
import sys
import os
try
begin
import cPickle as pickle
end
except any
begin
import pickle
end
comment Code for boolean_query in python.
set indexfolder = string ./index/
if not exists path indexfolder + string index.index
begin
print string No index exists. Please create index first!
exit
e... | from mymodules import merge
import sys
import os
try :
import cPickle as pickle
except:
import pickle
#Code for boolean_query in python.
indexfolder = './index/'
if not os.path.exists(indexfolder + 'index.index'):
print ("No index exists. Please create index first!")
sys.exit()
index = pickle.load(... | Python | zaydzuhri_stack_edu_python |
comment Ability to view user anyone's user profile,
comment and modify a user's own profile
comment (name, email, handle, and profile photo)
comment user_profile
comment user_profile_setname
comment user_profile_setemail
comment user_profile_sethandle
from auth import auth_register
from user import *
from error import ... | # Ability to view user anyone's user profile,
# and modify a user's own profile
# (name, email, handle, and profile photo)
# user_profile
# user_profile_setname
# user_profile_setemail
# user_profile_sethandle
from auth import auth_register
from user import *
from error import InputError
import pytest
import re
de... | Python | zaydzuhri_stack_edu_python |
class Poly
begin
function __init__ self liste
begin
set liste = liste
end function
function __str__ self
begin
set liste = list
set us = 0
for i in liste at slice : : - 1
begin
if us == 0
begin
append liste string i
set us = us + 1
continue
end
if type i == int
begin
append liste string i + string * + string x^ + st... | class Poly:
def __init__(self, liste):
self.liste = liste
def __str__(self):
liste = []
us = 0
for i in self.liste[::-1]:
if us==0:
liste.append(str(i))
... | Python | zaydzuhri_stack_edu_python |
for i in range 1 101
begin
set t0 = i
set t1 = i * 100
set t2 = i * 100 * 100
append A t0
append B t1
append C t2
end
set tuple d n = map int split input
if d == 0
begin
if n == 100
begin
print 101
end
else
begin
print A at n - 1
end
end
else
if d == 1
begin
if n == 100
begin
print 100 * 101
end
else
begin
print B at n... | for i in range(1,101):
t0 = i
t1 = i*100
t2 = i*100*100
A.append(t0)
B.append(t1)
C.append(t2)
d,n = map(int,input().split())
if d == 0:
if n == 100:
print(101)
else:
print(A[n-1])
elif d == 1:
if n == 100:
print(100*101)
else:
print(B[n-1])
else... | Python | zaydzuhri_stack_edu_python |
import matplotlib.pyplot as plt
import rss_metrics as rss
set colors = dict Safe string g ; LongitudinallyDangerous string y ; LaterallyDangerous string m ; Dangerous string r ; Proper string g ; ImproperLongitudinal string r ; ImproperLateral string r ; ImproperBoth string r
set labels = dict Safe string Safe ; Longit... | import matplotlib.pyplot as plt
import rss_metrics as rss
colors = {
rss.Dangerous.Safe: 'g',
rss.Dangerous.LongitudinallyDangerous: 'y',
rss.Dangerous.LaterallyDangerous: 'm',
rss.Dangerous.Dangerous: 'r',
rss.Response.Proper: 'g',
rss.Response.ImproperLongitudinal: 'r',
rss.Response.Impro... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: UTF-8 -*-
import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np
set c = call truncated_normal shape=list 2 2 mean=0 stddev=1
with call Session as sess
begin
set m = run c
end | # -*- coding: UTF-8 -*-
import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np
c = tf.truncated_normal(shape=[2, 2], mean=0, stddev=1)
with tf.Session() as sess:
m = sess.run(c) | Python | zaydzuhri_stack_edu_python |
function conv_to_annualised_rate sr
begin
return call expm1 sr
end function | def conv_to_annualised_rate(sr):
return np.expm1(sr) | Python | nomic_cornstack_python_v1 |
import csv
import numpy as np
import pandas
import pickle
import pylab as plt
import random
import time
from functools import wraps
from matplotlib.font_manager import FontProperties
from pybrain.structure import FeedForwardNetwork , LinearLayer , SigmoidLayer
from pybrain.structure import TanhLayer , FullConnection
fr... | import csv
import numpy as np
import pandas
import pickle
import pylab as plt
import random
import time
from functools import wraps
from matplotlib.font_manager import FontProperties
from pybrain.structure import FeedForwardNetwork, LinearLayer, SigmoidLayer
from pybrain.structure import TanhLayer, FullConnection
from ... | Python | zaydzuhri_stack_edu_python |
string These tests only run properly if you have an active google api key set to the environment variable API_KEY='your_api_key'
import os
from google_distance.get_travel_times import GoogleDistance
from google_distance.data_classes import Driving
set API_KEY = call getenv string API_KEY
function test_sync_run_basic
be... | """
These tests only run properly if you have an active google api key set to the environment
variable API_KEY='your_api_key'
"""
import os
from google_distance.get_travel_times import GoogleDistance
from google_distance.data_classes import Driving
API_KEY = os.getenv('API_KEY')
def test_sync_run_basic():
dist =... | Python | zaydzuhri_stack_edu_python |
import string
function remove_punctuation text
begin
comment convert punctuation chars into a string
set punctuation_chars = join string punctuation
comment iterate through input text and replace punctuation chars with an empty string
for char in punctuation_chars
begin
if char in text
begin
set text = replace text ch... | import string
def remove_punctuation(text):
#convert punctuation chars into a string
punctuation_chars = ''.join(string.punctuation)
#iterate through input text and replace punctuation chars with an empty string
for char in punctuation_chars:
if char in text:
text = text.replac... | Python | jtatman_500k |
comment -*- coding: utf-8 -*-
import pkgutil
import importlib
from datetime import datetime , date , time
from numbers import Number
from decimal import Decimal
from flask import Blueprint
function register_blueprints app module_prefix package_path
begin
string Register all Blueprint instances on the specified Flask ap... | # -*- coding: utf-8 -*-
import pkgutil
import importlib
from datetime import datetime, date, time
from numbers import Number
from decimal import Decimal
from flask import Blueprint
def register_blueprints(app, module_prefix, package_path):
"""Register all Blueprint instances on the specified Flask application fo... | Python | zaydzuhri_stack_edu_python |
function check_if_two_hsp_ranges_overlap lists
begin
set x = set range lists at 0 at 0 lists at 0 at 1
set y = set range lists at 1 at 0 lists at 1 at 1
set intersect = intersection x y
set overlap = false
if length list intersect > 0
begin
set overlap = true
end
return overlap
end function | def check_if_two_hsp_ranges_overlap(lists):
x = set(range(lists[0][0], lists[0][1]))
y = set(range(lists[1][0], lists[1][1]))
intersect = x.intersection(y)
overlap = False
if len(list(intersect)) > 0:
overlap = True
return overlap | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
string Mostrar en pantalla la cantidad de vocales que existe en una frase dada por el usuario.
function vocales frase
begin
set vocal = list string a string e string i string o string u
set lista = list
for i in frase
begin
if i in vocal
begin
append lista i
e... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Mostrar en pantalla la cantidad de vocales que existe en una
frase dada por el usuario."""
def vocales(frase):
vocal = ['a','e','i','o','u']
lista = []
for i in frase:
if i in vocal:
lista.append(i)
return lista
def main():
print("\tEjerccio 13")
print()
... | Python | zaydzuhri_stack_edu_python |
from flask_sqlalchemy import SQLAlchemy
from flask import Flask , request , jsonify
from flask_cors import CORS
from os import environ
comment docker is being used for all microservices
set app = call Flask __name__
call CORS app
set config at string SQLALCHEMY_DATABASE_URI = get environ string dbURL
comment add the ab... | from flask_sqlalchemy import SQLAlchemy
from flask import Flask, request, jsonify
from flask_cors import CORS
from os import environ
# docker is being used for all microservices
app = Flask(__name__)
CORS(app)
app.config['SQLALCHEMY_DATABASE_URI'] = environ.get('dbURL')
# add the above code if docker is used
ap... | Python | zaydzuhri_stack_edu_python |
function mail_jet_send self
begin
set mailjet = call Client auth=tuple api_key api_secret version=string v3.1
comment Build the data object ##
set data = dict string Messages list dict string From dict string Email frm ; string Name string Service Account ; string To list dict string Email toemail ; string Name string ... | def mail_jet_send(self):
mailjet = Client(auth=(self.api_key, self.api_secret), version='v3.1')
## Build the data object ##
data = {
'Messages': [
{
"From": {
"Email": self.frm,
"Name": "Service Acco... | Python | nomic_cornstack_python_v1 |
comment there are 35 different arc labels, thus |T| = 35 * 2 +1
comment output size = 71
comment hidden size = 100
comment input size: d_words * n_words + d_pos * n_pos
comment input words:
comment leftmost/rightmost children of the top two words on the stack(not includes buffer)(4)
comment if no children inputs equals... | # there are 35 different arc labels, thus |T| = 35 * 2 +1
# output size = 71
# hidden size = 100
# input size: d_words * n_words + d_pos * n_pos
# input words:
# leftmost/rightmost children of the top two words on the stack(not includes buffer)(4)
# if no children inputs equals to 0
# top 2 words on the stack ... | Python | zaydzuhri_stack_edu_python |
comment python.exe -m pip install google-api-python-client
comment !/usr/bin/python
comment This sample executes a search request for the specified search term.
comment Sample usage:
comment python search.py --q=surfing --max-results=10
comment NOTE: To use the sample, you must provide a developer key obtained
comment ... | # python.exe -m pip install google-api-python-client
#!/usr/bin/python
# This sample executes a search request for the specified search term.
# Sample usage:
# python search.py --q=surfing --max-results=10
# NOTE: To use the sample, you must provide a developer key obtained
# in the Google APIs Console. Search... | Python | zaydzuhri_stack_edu_python |
class Point
begin
function __init__ self i x y
begin
set i = i
set x = x
set y = y
end function
function dist_to self other
begin
return x - x ^ 2 + y - y ^ 2 ^ 0.5
end function
end class
set N = integer input
set points = list
for i in range N
begin
set tuple x y = map float split input
append points call Point i x y... | class Point:
def __init__(self, i, x, y):
self.i = i
self.x = x
self.y = y
def dist_to(self, other):
return ((self.x - other.x)**2 + (self.y - other.y)**2)**0.5
N = int(input())
points = []
for i in range(N):
x, y = map(float, input().split())
points.append(Point(i, x, ... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python3
import os
set _DEEPLEVELS = 5
set data = dict
set ranking = dict
set listSorted = list
function getFile
begin
global data
set sfile = open string poiclicks.txt string r
set filebuffer = read sfile
close sfile
for entry in split filebuffer string
begin
if find entry string > - 1
begin
set tu... | #!/usr/bin/python3
import os
_DEEPLEVELS = 5
data = {}
ranking = {}
listSorted = []
def getFile():
global data
sfile = open("poiclicks.txt", "r")
filebuffer = sfile.read()
sfile.close()
for entry in filebuffer.split("\n"):
if entry.find(" ") > -1:
click, pois = entry.split(" ", 1)
else:
click, pois = (en... | Python | zaydzuhri_stack_edu_python |
function __init__ self tracking_uri=none log_package=true files_to_log=none
begin
call __init__
set log_package = log_package
set files_to_log = files_to_log
call set_tracking_uri tracking_uri
end function | def __init__(
self,
tracking_uri: str = None,
log_package: bool = True,
files_to_log: List[str] = None,
):
super().__init__()
self.log_package = log_package
self.files_to_log = files_to_log
mlflow.set_tracking_uri(tracking_uri) | Python | nomic_cornstack_python_v1 |
function merge_embeddings xdf cat emb w verbose
begin
if verbose
begin
print string embeddings category: '%s' embeddings shape %s % tuple cat call shape w
end
if cat not in list columns
begin
print string categorical variable '%s' not found in data-frame % cat
print type xdf call shape xdf list columns
exit 1
end
comme... | def merge_embeddings(xdf, cat, emb, w, verbose):
if verbose:
print("embeddings category: '%s' embeddings shape %s" % (cat, np.shape(w)))
if cat not in list(xdf.columns):
print("categorical variable '%s' not found in data-frame" % cat)
print(type(xdf), np.shape(xdf), list(xdf.columns))
... | Python | nomic_cornstack_python_v1 |
from typing import List
comment Sliding window. Time: O(n). Space: O(1)
class Solution
begin
function minSubArrayLen self s nums
begin
set tuple start total min_length = tuple 0 0 0
for tuple i n in enumerate nums
begin
set total = total + n
while total >= s
begin
set min_length = if expression min_length > 0 then min ... | from typing import List
# Sliding window. Time: O(n). Space: O(1)
class Solution:
def minSubArrayLen(self, s: int, nums: List[int]) -> int:
start, total, min_length = 0, 0, 0
for i, n in enumerate(nums):
total += n
while total >= s:
min_length = min(min_leng... | Python | zaydzuhri_stack_edu_python |
from math import gcd
function problem005 n
begin
string Returns the smallest integer divisible by {1,..,n}
set multiple = 1
for i in range 2 n + 1
begin
set multiple = multiple * i // call gcd i multiple
end
return multiple
end function
if __name__ == string __main__
begin
print call problem005 20
end | from math import gcd
def problem005(n):
'''
Returns the smallest integer divisible by {1,..,n}
'''
multiple = 1
for i in range(2, n + 1):
multiple = multiple * i // gcd(i, multiple)
return multiple
if __name__ == "__main__":
print(problem005(20))
| Python | zaydzuhri_stack_edu_python |
class Item
begin
function __init__ self item_id name price item_type quantity date_inventory_added monthly_sales=0
begin
set item_id = item_id
set name = name
set price = price
set item_type = item_type
set quantity = quantity
set date_inventory_added = date_inventory_added
set monthly_sales = monthly_sales
end functio... | class Item:
def __init__(self, item_id, name, price, item_type, quantity, date_inventory_added, monthly_sales=0):
self.item_id = item_id
self.name = name
self.price = price
self.item_type = item_type
self.quantity = quantity
self.date_inventory_added = date_inv... | Python | zaydzuhri_stack_edu_python |
function export_course_to_directory course_id root_dir
begin
set store = call modulestore
set course = call get_course course_id
if course is none
begin
raise call CommandError string Invalid course_id
end
set course_name = replace call to_deprecated_string string / string -
call export_to_xml store none id root_dir co... | def export_course_to_directory(course_id, root_dir):
store = modulestore()
course = store.get_course(course_id)
if course is None:
raise CommandError("Invalid course_id")
course_name = course.id.to_deprecated_string().replace('/', '-')
export_to_xml(store, None, course.id, root_dir, ... | Python | nomic_cornstack_python_v1 |
function error_f self start_dates end_dates
begin
set scores = list
for tuple start_date end_date in zip start_dates end_dates
begin
set population = pop_dict at start_date
set trend = call Trend clean_df population country province=province start_date=start_date end_date=end_date
call analyse
append scores call rmsle
... | def error_f(self, start_dates, end_dates):
scores = list()
for (start_date, end_date) in zip(start_dates, end_dates):
population = self.pop_dict[start_date]
trend = Trend(
self.clean_df, population, self.country, province=self.province,
start_date=... | Python | nomic_cornstack_python_v1 |
import numpy as np
import matplotlib.pylab as plt
import padasip as pa
comment from sin_data import sin_data
comment sin_data()
comment creation of data
set N = 500
comment input matrix
set x = call normal 0 1 tuple N 4
comment noise
set v = call normal 0 0.1 N
print x
comment print (v)
comment target
set d = 2 * x at ... | import numpy as np
import matplotlib.pylab as plt
import padasip as pa
#from sin_data import sin_data
#sin_data()
# creation of data
N = 500
x = np.random.normal(0, 1, (N, 4)) # input matrix
v = np.random.normal(0, 0.1, N) # noise
print (x)
#print (v)
d = 2*x[:] + 0.1*x[:,1] - 4*x[:,2] + 0.5*x[:,3] + v # target
f = ... | Python | zaydzuhri_stack_edu_python |
function install_katello_agent
begin
call print_generic string Installing the Katello agent
call call_yum string install string katello-agent
call enable_service string goferd
call exec_service string goferd string restart
end function | def install_katello_agent():
print_generic("Installing the Katello agent")
call_yum("install", "katello-agent")
enable_service("goferd")
exec_service("goferd", "restart") | Python | nomic_cornstack_python_v1 |
function mute_contact token contact duration customerid=none
begin
set acc_contacts = call get_all token customerid
if is instance duration int
begin
set submit_duration = call create_timestamp duration
end
else
begin
set submit_duration = duration
end
for tuple k v in items acc_contacts
begin
if k == contact
begin
for... | def mute_contact(token,
contact,
duration,
customerid=None):
acc_contacts = get_all(token, customerid)
if isinstance(duration, int):
submit_duration = _utils.create_timestamp(duration)
else:
submit_duration = duration
for k, v in acc_... | Python | nomic_cornstack_python_v1 |
function comments self comments
begin
set _comments = comments
end function | def comments(self, comments):
self._comments = comments | Python | nomic_cornstack_python_v1 |
function get_europepmc_metadata url
begin
comment <meta content="http://europepmc.org/articles/PMC2819787?pdf=render" name="citation_pdf_url"/>
comment <meta content="10.3390/ijerph7010269" name="citation_doi"/>
comment <meta content="Int J Environ Res Public Health" name="citation_journal_abbrev"/>
set response = text... | def get_europepmc_metadata (url):
# <meta content="http://europepmc.org/articles/PMC2819787?pdf=render" name="citation_pdf_url"/>
# <meta content="10.3390/ijerph7010269" name="citation_doi"/>
# <meta content="Int J Environ Res Public Health" name="citation_journal_abbrev"/>
response = requests.get(url... | Python | nomic_cornstack_python_v1 |
comment tworzenie klucza do sortowania
function sorting x
begin
comment nie dziel przez 0 dla nieważkich płynów; takie płyny są nieskończenie wartościowe w stosunku do swojej masy
if x at 1 == 0
begin
return inf
end
return x at 0 / x at 1
end function
function knapsack A k
begin
set w = 0.0
set v = 0.0
sort A key=sorti... | def sorting(x): # tworzenie klucza do sortowania
if x[1] == 0: return inf # nie dziel przez 0 dla nieważkich płynów; takie płyny są nieskończenie wartościowe w stosunku do swojej masy
return x[0]/x[1]
def knapsack(A, k):
w = 0.0
v = 0.0
A.sort(key = sorting, reverse = True)
for x... | Python | zaydzuhri_stack_edu_python |
from collections import Counter
function canDistribute nums quantity
begin
set counts = counter nums
set values = list values counts
sort quantity reverse=true
function dfs index values
begin
if index == length quantity
begin
return true
end
for i in range length values
begin
if values at i >= quantity at index
begin
s... | from collections import Counter
def canDistribute(nums, quantity):
counts = Counter(nums)
values = list(counts.values())
quantity.sort(reverse=True)
def dfs(index, values):
if index == len(quantity):
return True
for i in range(len(values)):
if values[i] >= quant... | Python | jtatman_500k |
function rename self old_path new_path
begin
call rename_file old_path new_path
call rename_all_checkpoints old_path new_path
end function | def rename(self, old_path, new_path):
self.rename_file(old_path, new_path)
self.checkpoints.rename_all_checkpoints(old_path, new_path) | Python | nomic_cornstack_python_v1 |
function new_page self cls **kwargs
begin
set signature = signature __init__
set filtered_kwargs = dictionary comprehension key : value for tuple key value in items kwargs if key in parameters
return call cls browser keyword filtered_kwargs
end function | def new_page(self, cls, **kwargs):
signature = inspect.signature(cls.__init__)
filtered_kwargs = {key: value for key, value in kwargs.items() if key in signature.parameters}
return cls(self.browser, **filtered_kwargs) | Python | nomic_cornstack_python_v1 |
import numpy as np
import numpy.linalg as npla
import time
import matplotlib.pyplot as plt
comment size of the matrix to be calculated
set SIZE = list 10 50 100 1000
comment create list
set cpu_time_numpy = list
set cpu_time_mycode = list
comment define seed
seed 10
comment loop over the size
for size in SIZE
begin
c... | import numpy as np
import numpy.linalg as npla
import time
import matplotlib.pyplot as plt
# size of the matrix to be calculated
SIZE = [10,50,100,1000]
# create list
cpu_time_numpy = []
cpu_time_mycode = []
# define seed
np.random.seed(10)
# loop over the size
for size in SIZE :
# create the system
A = np.ran... | Python | zaydzuhri_stack_edu_python |
from random import choice
import os
set deluxe_dice = list list string A string A string A string F string R string S list string A string A string E string E string E string E list string A string A string F string I string R string S list string A string D string E string N string N string N list string A string E st... | from random import choice
import os
deluxe_dice = [
["A", "A", "A", "F", "R", "S"],
["A", "A", "E", "E", "E", "E"],
["A", "A", "F", "I", "R", "S"],
["A", "D", "E", "N", "N", "N"],
["A", "E", "E", "E", "E", "M"],
["A", "E", "E", "G", "M", "U"],
["A", "E", "G", "M", "N", "N"],
["A", "F", ... | Python | zaydzuhri_stack_edu_python |
function run server_class=HTTPServer handler_class=CPUUsageHandler
begin
set server_address = tuple HOST PORT
set httpd = call server_class server_address handler_class
end function | def run(server_class=HTTPServer, handler_class=CPUUsageHandler):
server_address = (settings.HOST, settings.PORT)
httpd = server_class(server_address, handler_class) | Python | nomic_cornstack_python_v1 |
function test_put self
begin
set cache = call LRUCache 5
assert 0 == size
put 1 string aaa
assert 1 == size
end function | def test_put(self):
cache = LRUCache(5)
assert 0 == cache.size
cache.put(1, 'aaa')
assert 1 == cache.size | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
import itertools
import sys
import math
from functools import lru_cache
comment 1??
comment n = int(input())
comment ?????2??
from queue import Queue
set tuple n a b = list map int split input
set ll = list comprehension list comprehension - 1 for i in range 401 for j in range 401
comment ... | # -*- coding: utf-8 -*-
import itertools
import sys
import math
from functools import lru_cache
# 1??
# n = int(input())
# ?????2??
from queue import Queue
n, a, b = list(map(int, input().split()))
ll = [[-1 for i in range(401)] for j in range(401)]
# queue = Queue()
ll[0][0] = 0
for i in range(n... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python3
import sys , csv , math
set codesFile = open string ../04c_euclidean/stampsBritannia.csv string r
set codes = reader codesFile delimiter=string ;
comment header
call __next__
set sites = list
set listCodes = list
for code in codes
begin
set idSite = code at 0
set nameSite = code at 1
set xSite... | #!/usr/bin/python3
import sys,csv, math
codesFile = open('../04c_euclidean/stampsBritannia.csv', 'r')
codes = csv.reader(codesFile, delimiter=';')
# header
codes.__next__()
sites = list()
listCodes = list()
for code in codes:
idSite = code[0]
nameSite = code[1]
xSite = code[2]
ySite = code[3]
st... | Python | zaydzuhri_stack_edu_python |
string This script process 3DIRCA dataset. The end result is some niftis with only liver and lesion labels (e.g., label01.nii) Label values: 0,1,2 for bg,liver,lesion resp. Usage : cd into the directory of the IRCA dataset (usually folder named 3Dircadb1) then run the script : python /path/to/irca_to_nii.python
from ma... | """
This script process 3DIRCA dataset. The end result is some niftis with only liver and lesion labels (e.g., label01.nii)
Label values: 0,1,2 for bg,liver,lesion resp.
Usage :
cd into the directory of the IRCA dataset (usually folder named 3Dircadb1)
then run the script :
python /path/to/irca_to_nii.python
"""
fr... | Python | zaydzuhri_stack_edu_python |
import time
call clock
set ijk_table = dict tuple string 1 string 1 string 1 ; tuple string -1 string 1 string -1 ; tuple string 1 string i string i ; tuple string -1 string i string -i ; tuple string 1 string j string j ; tuple string -1 string j string -j ; tuple string 1 string k string k ; tuple string -1 string k ... | import time
time.clock()
ijk_table = {
('1','1') : '1', ('-1','1') : '-1',
('1','i') : 'i', ('-1','i') : '-i',
('1','j') : 'j', ('-1','j') : '-j',
('1','k') : 'k', ('-1','k') : '-k',
('i','1') : 'i', ('-i','1') : '-i',
('i','i') : '-1', ('-i','i') : '1',
('i','j') : 'k', ('-i','... | Python | zaydzuhri_stack_edu_python |
from DBbridge.ConsultasCassandra import ConsultasCassandra
from ProcesadoresTexto.LimpiadorTweets import LimpiadorTweets
from Config.Conf import Conf
import luigi
class GenerateTextByLang extends Task
begin
string GenerateTextByLang genera un fichero de texto con los tweets con un sentimiento definido (positivo o negat... | from DBbridge.ConsultasCassandra import ConsultasCassandra
from ProcesadoresTexto.LimpiadorTweets import LimpiadorTweets
from Config.Conf import Conf
import luigi
class GenerateTextByLang(luigi.Task):
"""
GenerateTextByLang
genera un fichero de texto con los tweets con un sentimiento definido (positivo o negativ... | Python | zaydzuhri_stack_edu_python |
comment Combination of a given length
import itertools
comment list of which combination is to be found
set li = list string 23 string 97 string 26 string 27
comment length of combinations
set r = 3
list call combinations li r
comment OUTPUT
list tuple string 23 string 97 string 26 tuple string 23 string 97 string 27 t... | #Combination of a given length
import itertools
li = ['23', '97', '26', '27'] #list of which combination is to be found
r = 3 #length of combinations
list(itertools.combinations(li,r))
#OUTPUT
[('23', '97', '26'), ('23', '97', '27'), ('23', '26', '27'), ('97', '26', '27')]
#All possible combinations except null com... | Python | zaydzuhri_stack_edu_python |
string anova.py Learning what anova does
import math
import numpy as np
from matplotlib import pyplot as plt
import statsmodels.stats.anova as anova
from scipy.stats import t , ttest_1samp
from scipy.optimize import minimize
from scipy.special import gamma
from scipy.misc import factorial
comment understanding gamma fu... | '''
anova.py
Learning what anova does
'''
import math
import numpy as np
from matplotlib import pyplot as plt
import statsmodels.stats.anova as anova
from scipy.stats import t, ttest_1samp
from scipy.optimize import minimize
from scipy.special import gamma
from scipy.misc import factorial
# understanding gamma func... | Python | zaydzuhri_stack_edu_python |
import sys
from textprocessing import *
function wrap
begin
if length argv == 3
begin
set file = open argv at 2 string r
end
if length argv == 2
begin
set file = stdin
end
set width = integer argv at 1
set line = read line file
while line
begin
set tuple line1 line = call wrap_on line width
end
end function | import sys
from textprocessing import *
def wrap():
if len( sys.argv ) == 3:
file = open(sys.argv[2],'r')
if len( sys.argv ) == 2:
file = sys.stdin
width = int(sys.argv[1])
line = file.readline()
while line:
line1,line = wrap_on(line,width) | Python | zaydzuhri_stack_edu_python |
comment message = "我是齐天大圣"
comment for item in message:
comment print(item)
set num = input string 请输入多位数：
set count = 0
for item in num
begin
set count = count + integer item
end
print count | # message = "我是齐天大圣"
# for item in message:
# print(item)
#
num = input("请输入多位数：")
count = 0
for item in num:
count += int(item)
print(count)
| Python | zaydzuhri_stack_edu_python |
function step self closure=none
begin
set loss = none
if closure is not none
begin
with enable grad
begin
set loss = call closure
end
end
for group in param_groups
begin
set grads = list
set states = list
set exp_avg = list
set exp_avg_sq = list
set params_with_grad = list
for p in group at string params
begin
if ... | def step(self, closure=None):
loss = None
if closure is not None:
with torch.enable_grad():
loss = closure()
for group in self.param_groups:
grads = []
states = []
exp_avg = []
exp_avg_sq = []
params_with_gr... | Python | nomic_cornstack_python_v1 |
function addRcpt self rcpt esmtpAdd=string
begin
if esmtpAdd
begin
if not SMFIF_ADDRCPT_PAR ? _opts ? _mtaopts
begin
print string Add recipient par called without the proper opts set
return
end
set req = SMFIR_ADDRCPT_PAR + rcpt + b'\x00' + esmtpAdd + b'\x00'
set req = call pack_uint32 length req + req
end
else
begin
i... | def addRcpt(self , rcpt , esmtpAdd=''):
if esmtpAdd:
if not SMFIF_ADDRCPT_PAR & self._opts & self._mtaopts:
print('Add recipient par called without the proper opts set')
return
req = SMFIR_ADDRCPT_PAR + rcpt + b'\0' + esmtpAdd + b'\0'
req = pac... | Python | nomic_cornstack_python_v1 |
function random_colors N bright=true
begin
set brightness = if expression bright then 1.0 else 0.7
set hsv = list comprehension tuple i / N 1 brightness for i in range N
set colors = list map lambda c -> call hsv_to_rgb *c hsv
shuffle random colors
return colors
end function | def random_colors(N, bright=True):
brightness = 1.0 if bright else 0.7
hsv = [(i / N, 1, brightness) for i in range(N)]
colors = list(map(lambda c: colorsys.hsv_to_rgb(*c), hsv))
random.shuffle(colors)
return colors | Python | nomic_cornstack_python_v1 |
function object_id self
begin
return get pulumi self string object_id
end function | def object_id(self) -> pulumi.Output[str]:
return pulumi.get(self, "object_id") | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
string Run Sextractor on simulated files and compare with known positions.
import subprocess
import os
import os.path
import re
import numpy as np
import numpy.lib.recfunctions as rec
import pylab
import pyfits
import csv_parse
import fvmapping
function run_sex filename
begin
string Run sex... | #!/usr/bin/env python
"""
Run Sextractor on simulated files and compare with known positions.
"""
import subprocess
import os
import os.path
import re
import numpy as np
import numpy.lib.recfunctions as rec
import pylab
import pyfits
import csv_parse
import fvmapping
def run_sex(filename):
"""
Run sextracto... | Python | zaydzuhri_stack_edu_python |
async function _create_new_migration app_config auto=false
begin
set _id = string format time now string %Y-%m-%dT%H:%M:%S
comment Originally we just used the _id as the filename, but colons aren't
comment supported in Windows, so we need to sanitize it. We don't want to
comment change the _id format though, as it woul... | async def _create_new_migration(app_config: AppConfig, auto=False) -> None:
_id = datetime.datetime.now().strftime("%Y-%m-%dT%H:%M:%S")
# Originally we just used the _id as the filename, but colons aren't
# supported in Windows, so we need to sanitize it. We don't want to
# change the _id format though... | Python | nomic_cornstack_python_v1 |
comment Autostereogram Generator
from PIL import Image , ImageDraw
import noise
import random
class stereogram extends object
begin
set mu = 1 / 3.0
function __init__ self depth_map pattern=none DPI=75 verbose=true
begin
set DPI = DPI
set eye_separation = integer round 2.5 * DPI 0
comment self.eye_separation = 2.5*DPI
... | ## Autostereogram Generator
from PIL import Image, ImageDraw
import noise
import random
class stereogram(object):
mu = (1/3.)
def __init__(self,depth_map,pattern=None,DPI=75,verbose=True):
self.DPI = DPI
self.eye_separation = int(round(2.5*DPI,0))
#self.eye_separation = 2.5*DPI
... | Python | zaydzuhri_stack_edu_python |
function maximum self
begin
return get properties string maximum
end function | def maximum(self):
return self.properties.get('maximum') | Python | nomic_cornstack_python_v1 |
function clean_cmdline cmdline
begin
return replace replace cmdline string string \r string string \n
end function | def clean_cmdline(cmdline):
return cmdline.replace('\r', '\\r').replace('\n', '\\n') | Python | nomic_cornstack_python_v1 |
from unittest import TestCase
import unittest
from power_of_two import Solution
class TestSolution extends TestCase
begin
function test_powerOfTwoCase1 self
begin
set sol = call Solution
assert equal call isPowerOfTwo 1 true
assert equal call isPowerOfTwo - 16 false
end function
end class
if __name__ == string __main__... | from unittest import TestCase
import unittest
from power_of_two import Solution
class TestSolution(TestCase):
def test_powerOfTwoCase1(self):
sol = Solution()
self.assertEqual(sol.isPowerOfTwo(1), True)
self.assertEqual(sol.isPowerOfTwo(-16), False)
if __name__ == '__main__':
unittest.... | Python | zaydzuhri_stack_edu_python |
function test_report_with_verbose self
begin
comment Setup
set key_phrases = list string Generating\sreport\s\.\.\. string \(1/2\)\sEvaluating\sColumn\sShapes string \(2/2\)\sEvaluating\sColumn\sPair\sTrends string Overall\sQuality\sScore:\s80\.51% string Properties: string -\sColumn\sShapes:\s81\.56% string -\sColumn\... | def test_report_with_verbose(self):
# Setup
key_phrases = [
r'Generating\sreport\s\.\.\.',
r'\(1/2\)\sEvaluating\sColumn\sShapes',
r'\(2/2\)\sEvaluating\sColumn\sPair\sTrends',
r'Overall\sQuality\sScore:\s80\.51%',
r'Properties:',
r... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python
import cgi , cgitb , os
call enable
set form = call FieldStorage | #!/usr/bin/python
import cgi,cgitb,os
cgitb.enable()
form=cgi.FieldStorage() | Python | zaydzuhri_stack_edu_python |
from collections import defaultdict
with open string ../input/day1.txt string r as inputFile
begin
set data = list comprehension integer x for x in read lines inputFile
end
set sums = default dictionary list
comment Part 1
for first in data
begin
for second in data at slice 1 : :
begin
if first == second
begin
contin... | from collections import defaultdict
with open("../input/day1.txt", 'r') as inputFile:
data = [int(x) for x in inputFile.readlines()]
sums = defaultdict(list)
# Part 1
for first in data:
for second in data[1:]:
if first == second: continue
sums[first+second].append((first, second))
assert(len(... | Python | zaydzuhri_stack_edu_python |
import csv
import os
import math
import loss_rate_functions as func
comment This will be to calculate the loss rate in the effects of M
comment Need to write the following to a csv file
comment Loss of L Diff. H - L
comment 500 0 - 1 0 - 1 0 - 1
comment Directory where results are stored
set pathTo = string /home/mario... | import csv
import os
import math
import loss_rate_functions as func
#This will be to calculate the loss rate in the effects of M
#Need to write the following to a csv file
# Loss of L Diff. H - L
# 500 0 - 1 0 - 1 0 - 1
#Directory where results are stored
pathTo = "/home/mario/Documents/res... | Python | zaydzuhri_stack_edu_python |
import logging
import logging.config
import uuid
from typing import Any , Dict , MutableMapping , Tuple
class ContextLoggingAdapter extends LoggerAdapter
begin
string Include a contextual identifier for grouping related log entries In an environment where logs from multiple sources are intertwined/aggregated with log o... | import logging
import logging.config
import uuid
from typing import Any, Dict, MutableMapping, Tuple
class ContextLoggingAdapter(logging.LoggerAdapter):
"""
Include a contextual identifier for grouping related log entries
In an environment where logs from multiple sources are intertwined/aggregated ... | Python | zaydzuhri_stack_edu_python |
set message = string This is a string
print message
set message = string This is also a string
print message | message = "This is a string"
print(message)
message = 'This is also a string'
print (message) | Python | zaydzuhri_stack_edu_python |
function lastChar cursor n=1
begin
if call atBlockStart
begin
return string
end
else
begin
set cur_tmp = call QTextCursor cursor
call clearSelection
for i in range n - 1
begin
call movePosition Left MoveAnchor
if call atBlockStart
begin
return string
end
end
call movePosition Left KeepAnchor
set text = call selectedT... | def lastChar(cursor,n=1):
if cursor.atBlockStart():
return '\n'
else :
cur_tmp=QtGui.QTextCursor(cursor)
cur_tmp.clearSelection()
for i in range(n-1):
cur_tmp.movePosition(QtGui.QTextCursor.Left,
QtGui.QTextCursor.MoveAnchor)
if cur_tmp.atBlockStart():
return '\n'
cur_tmp.mov... | Python | nomic_cornstack_python_v1 |
string First attempt at using boosted decision trees to predict Instructions on installing xgboost: http://xgboost.readthedocs.org/en/latest/python/python_intro.html
import csv
import gc
import numpy
import numpy.random as rand
import xgboost
import to_output
import sklearn.feature_selection as select
comment read the ... | """
First attempt at using boosted decision trees to predict
Instructions on installing xgboost:
http://xgboost.readthedocs.org/en/latest/python/python_intro.html
"""
import csv
import gc
import numpy
import numpy.random as rand
import xgboost
import to_output
import sklearn.feature_selection as select
#read the csv ... | Python | zaydzuhri_stack_edu_python |
function test_ma_email_s_mailem self
begin
set zakaznik = call Zakaznici email=string neco@neco.cz
call assertIs call ma_email true
end function | def test_ma_email_s_mailem(self):
zakaznik = Zakaznici(email="neco@neco.cz")
self.assertIs(zakaznik.ma_email(), True) | Python | nomic_cornstack_python_v1 |
function build_sparse_model symbolic_description properties=none
begin
if not undefined_constants_are_graph_preserving
begin
raise call StormError string Program still contains undefined constants
end
if properties
begin
set formulae = list comprehension if expression is instance prop Property then raw_formula else pro... | def build_sparse_model(symbolic_description, properties=None):
if not symbolic_description.undefined_constants_are_graph_preserving:
raise StormError("Program still contains undefined constants")
if properties:
formulae = [(prop.raw_formula if isinstance(prop, Property) else prop) for prop in p... | Python | nomic_cornstack_python_v1 |
string Test that the manifest file is correctly structured and refers to schemas that exist.
from pathlib import Path
import asdf
import pytest
import yaml
set RESOURCES_ROOT = parent / string resources
decorator call parametrize string manifest_path glob RESOURCES_ROOT / string manifests string **/*.yaml
function test... | """
Test that the manifest file is correctly structured and refers
to schemas that exist.
"""
from pathlib import Path
import asdf
import pytest
import yaml
RESOURCES_ROOT = Path(__file__).absolute().parent.parent / "resources"
@pytest.mark.parametrize("manifest_path", (RESOURCES_ROOT / "manifests").glob("**/*.yam... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import matplotlib.pyplot as plt
import sys
append path string ../../scripts
from virialcoeffs import VirialCoeffs
set prefix = string ../../2020_03_19/raw_data_processing/raw_data/
set tcut = 1000000
set fp = 0
set tuple fig axarr = call subplots 2 sharex=true
set rhos = list string 0.05 string 0.1 s... | import numpy as np
import matplotlib.pyplot as plt
import sys
sys.path.append('../../scripts')
from virialcoeffs import VirialCoeffs
prefix = '../../2020_03_19/raw_data_processing/raw_data/'
tcut = 1000000
fp = 0
fig,axarr = plt.subplots(2,sharex=True)
rhos = ['0.05','0.1','0.2','0.4']
rhonums = np.array(rhos,... | Python | zaydzuhri_stack_edu_python |
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