code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function rebin_data_log x y f y_err=none dx=none
begin
set dx_init = call apply_function_if_none dx diff np x median
set x = call asarray x
set y = call asarray y
set y_err = call asarray call apply_function_if_none y_err y zeros_like
if shape at 0 != shape at 0
begin
raise call ValueError string x and y must be of the... | def rebin_data_log(x, y, f, y_err=None, dx=None):
dx_init = apply_function_if_none(dx, np.diff(x), np.median)
x = np.asarray(x)
y = np.asarray(y)
y_err = np.asarray(apply_function_if_none(y_err, y, np.zeros_like))
if x.shape[0] != y.shape[0]:
raise ValueError("x and y must be of the same l... | Python | nomic_cornstack_python_v1 |
comment I don't think this works at all -__-... This is a mix of a few codes i found online becuase I am trying to figure out sqlalchemy still (githubs cited at the bottom)
from flask import Flask , render_template , redirect , jsonify
comment dependencies
import sqlalchemy
from sqlalchemy.ext.automap import automap_ba... | ###I don't think this works at all -__-... This is a mix of a few codes i found online becuase I am trying to figure out sqlalchemy still (githubs cited at the bottom)
from flask import Flask, render_template, redirect, jsonify
# dependencies
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sql... | Python | zaydzuhri_stack_edu_python |
string CSci5512 Spring'12 Homework 4 login: sharm163@umn.edu date: 4/30/2012 name: Mohit Sharma id: 4465482 algorithm: dtree4
from Example import Example , Attribute
from TreeNode import TreeNode
import math
import sys
comment check if all examples have same class
function checkIfSameClass examples
begin
set firstLabel... | """
CSci5512 Spring'12 Homework 4
login: sharm163@umn.edu
date: 4/30/2012
name: Mohit Sharma
id: 4465482
algorithm: dtree4
"""
from Example import Example, Attribute
from TreeNode import TreeNode
import math
import sys
#check if all examples have same class
def checkIfSameClass(examples):
firstL... | Python | zaydzuhri_stack_edu_python |
from list import *
function testCreate
begin
global resp
comment xml = List('Markham temp list', 'Wouldn\'t it be lovely?')
set xml = list string Markham temp list
end function | from list import *
def testCreate():
global resp
#xml = List('Markham temp list', 'Wouldn\'t it be lovely?')
xml = List('Markham temp list') | Python | zaydzuhri_stack_edu_python |
import cec
import speech_recognition as sr
set TURN_TV_ON = string turn tv on
set TURN_TV_OFF = string turn tv off
set CLOSE_PROGRAM = string close program
function main
begin
comment Create cec control
call init
comment Ceate speech recognizer object
set r = call Recognizer
comment Create infinite loop
while true
begi... | import cec
import speech_recognition as sr
TURN_TV_ON = "turn tv on"
TURN_TV_OFF = "turn tv off"
CLOSE_PROGRAM = "close program"
def main():
# Create cec control
cec.init()
# Ceate speech recognizer object
r = sr.Recognizer()
# Create infinite loop
while True:
# Record sound
... | Python | zaydzuhri_stack_edu_python |
function bbox self
begin
set abbox = call empty
for normsubpath in normsubpaths
begin
set abbox = abbox + call bbox
end
return abbox
end function | def bbox(self):
abbox = bboxmodule.empty()
for normsubpath in self.normsubpaths:
abbox += normsubpath.bbox()
return abbox | Python | nomic_cornstack_python_v1 |
function rotate self
begin
call command string rotate SERVICE_NAME
end function | def rotate(self):
Wrapper.command("rotate", self.SERVICE_NAME) | Python | nomic_cornstack_python_v1 |
function euclides a b
begin
string Calcula o mdc(a,b), com a,b naturais e b>0, pelo algoritmo de Euclides
set tuple dividendo divisor = tuple a b
comment resto da divisao de dividendo por divisor
set resto = dividendo % divisor
comment print(dividendo, divisor, resto)
while resto != 0
begin
set tuple dividendo divisor ... | def euclides(a, b):
"""Calcula o mdc(a,b), com a,b naturais e b>0, pelo algoritmo de Euclides"""
dividendo, divisor = a, b
resto = dividendo % divisor # resto da divisao de dividendo por divisor
#print(dividendo, divisor, resto)
while resto != 0:
dividendo, divisor = divisor, resto
resto = dividendo ... | Python | zaydzuhri_stack_edu_python |
for i in range 1 n + 1
begin
for j in a
begin
if i - match at j < 0
begin
continue
end
if dp at i - match at j == - 1
begin
continue
end
set dp at i = max dp at i dp at i - match at j * 10 + j
end
end
comment print(dp)
print dp at n | for i in range(1,n+1):
for j in a:
if i - match[j] < 0: continue
if dp[i-match[j]] == -1: continue
dp[i] = max(dp[i], dp[i-match[j]]*10+j)
# print(dp)
print(dp[n]) | Python | zaydzuhri_stack_edu_python |
function calculate_visibility qv qc qr qi qs T p
begin
set Rd = 287.0
set COEFLC = 144.7
set COEFLP = 2.24
set COEFFC = 327.8
set COEFFP = 10.36
set EXPLC = 0.88
set EXPLP = 0.75
set EXPFC = 1.0
set EXPFP = 0.7776
comment Virtual temperature
set Tv = T * 1 + 0.61 * qv
comment Air density [kg m^-3]
set rhoa = p / Rd * T... | def calculate_visibility(qv,qc,qr,qi,qs,T,p):
Rd = 287.
COEFLC = 144.7
COEFLP = 2.24
COEFFC = 327.8
COEFFP = 10.36
EXPLC = 0.88
EXPLP = 0.75
EXPFC = 1.
EXPFP = 0.7776
Tv = T * (1+0.61*qv) # Virtual temperature
rhoa = p/(Rd*Tv) # Air density [kg m^-3]
rhow = 1e3 ... | Python | nomic_cornstack_python_v1 |
import xml.dom.pulldom as pulldom
comment from http://code.google.com/p/py-dom-xpath/
import xpath
import wikitextparser as wtp
import re
import pickle
from collections import defaultdict
import nltk
set x = 0
set NLWIKI_FILE = string data/nlwiki-latest-pages-articles.xml
set sep_list = list string is een string is de ... | import xml.dom.pulldom as pulldom
import xpath # from http://code.google.com/p/py-dom-xpath/
import wikitextparser as wtp
import re
import pickle
from collections import defaultdict
import nltk
x=0
NLWIKI_FILE = 'data/nlwiki-latest-pages-articles.xml'
sep_list = ["is een", "is de", "was een", "was de", "waren een", "... | Python | zaydzuhri_stack_edu_python |
class Utility
begin
decorator staticmethod
function sort_together to_sort other
begin
set sorted_to_sort = sorted to_sort
set sorted_other = list comprehension x for tuple _ x in sorted zip to_sort other
return tuple sorted_to_sort sorted_other
end function
end class | class Utility():
@staticmethod
def sort_together(to_sort, other):
sorted_to_sort = sorted(to_sort)
sorted_other = [x for _,x in sorted(zip(to_sort, other))]
return sorted_to_sort, sorted_other | Python | zaydzuhri_stack_edu_python |
comment 두 개의 문자열 str1과 str2가 주어진다. 문자열 str2 안에 str1과 일치하는 부분이 있는지 찾는 프로그램을 만드시오.
comment 예를 들어 두 개의 문자열이 다음과 같이 주어질 때, 첫 문자열이 두번째에 존재하면 1, 존재하지 않으면 0을 출력한다.
comment ABC
comment ZZZZZABCZZZZZ
comment 두번째 문자열에 첫번째 문자열과 일치하는 부분이 있으므로 1을 출력.
comment ABC
comment ZZZZAZBCZZZZZ
comment 문자열이 일치하지 않으므로 0을 출력.
comment [입력]
comme... | # 두 개의 문자열 str1과 str2가 주어진다. 문자열 str2 안에 str1과 일치하는 부분이 있는지 찾는 프로그램을 만드시오.
# 예를 들어 두 개의 문자열이 다음과 같이 주어질 때, 첫 문자열이 두번째에 존재하면 1, 존재하지 않으면 0을 출력한다.
# ABC
# ZZZZZABCZZZZZ
# 두번째 문자열에 첫번째 문자열과 일치하는 부분이 있으므로 1을 출력.
# ABC
# ZZZZAZBCZZZZZ
# 문자열이 일치하지 않으므로 0을 출력.
# [입력]
# 첫 줄에 테스트 케이스 개수 T가 주어진다. (1≤T≤50)
# 다음 줄부터 ... | Python | zaydzuhri_stack_edu_python |
import os
from matplotlib.image import imread
import numpy as np
class PreProcessing
begin
set images_train = array list
set images_test = array list
set labels_train = array list
set labels_test = array list
set unique_train_label = array list
set map_train_label_indices = dictionary
function __init__ self data_src da... | import os
from matplotlib.image import imread
import numpy as np
class PreProcessing:
images_train = np.array([])
images_test = np.array([])
labels_train = np.array([])
labels_test = np.array([])
unique_train_label = np.array([])
map_train_label_indices = dict()
def __init__(self,data_sr... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import MultinomialNB
set data = read csv string reviews.csv
set texts = data at string Text
set labels = data at string Label
comment Create a ... | import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import MultinomialNB
data = pd.read_csv("reviews.csv")
texts = data['Text']
labels = data['Label']
# Create a vectorizer and expand the rev... | Python | iamtarun_python_18k_alpaca |
import requests
from bs4 import BeautifulSoup
comment 방법 1
comment webpage = requests.get("https://www.hanbit.co.kr/store/books/full_book_list.html")
comment # print(webpage.text)
comment soup = BeautifulSoup(webpage.content, "html.parser")
comment # print(soup)
comment for a in soup.find_all('a'):
comment print(a.get(... | import requests
from bs4 import BeautifulSoup
# 방법 1
# webpage = requests.get("https://www.hanbit.co.kr/store/books/full_book_list.html")
# # print(webpage.text)
# soup = BeautifulSoup(webpage.content, "html.parser")
# # print(soup)
# for a in soup.find_all('a'):
# print(a.get('href'), a.text)
# # 방법 2 // 문제발생
#
#... | Python | zaydzuhri_stack_edu_python |
function UpdateCalendarSessionToken request
begin
set redirect_path = reverse urlresolvers StoreCalendarSessionToken
return call UpdateCalendarSessionToken request redirect_path
end function | def UpdateCalendarSessionToken(request):
redirect_path = urlresolvers.reverse(StoreCalendarSessionToken)
return views_impl.UpdateCalendarSessionToken(request, redirect_path) | Python | nomic_cornstack_python_v1 |
function order x
begin
set L = length x
set rangeL = range L
set z = call izip x rangeL
comment avoid problems with duplicates.
set z = call izip z rangeL
set D = sorted z
return list comprehension d at 1 for d in D
end function | def order(x):
L = len(x)
rangeL = range(L)
z = izip(x, rangeL)
z = izip(z, rangeL) # avoid problems with duplicates.
D = sorted(z)
return [d[1] for d in D] | Python | nomic_cornstack_python_v1 |
function layout_waveguide cell layer points_list width smooth=false
begin
set dbu = dbu
set dpolygon = call waveguide_dpolygon points_list width dbu smooth=smooth
compress true
call layout cell layer
return dpolygon
end function | def layout_waveguide(cell, layer, points_list, width, smooth=False):
dbu = cell.layout().dbu
dpolygon = waveguide_dpolygon(points_list, width, dbu, smooth=smooth)
dpolygon.compress(True)
dpolygon.layout(cell, layer)
return dpolygon | Python | nomic_cornstack_python_v1 |
function audio d sr=none ext=string .mp3
begin
if nussl_available
begin
if type d is AudioSignal
begin
set sr = sample_rate
set d = audio_data
end
else
if sr is none
begin
raise call ValueError string Sample rate must be provided when d is not an AudioSignal object!
end
end
set tmp_wav = named temporary file mode=strin... | def audio(d, sr=None, ext = '.mp3'):
if nussl_available:
if type(d) is AudioSignal:
sr = d.sample_rate
d = d.audio_data
elif sr is None:
raise ValueError('Sample rate must be provided when d is not an AudioSignal object!')
tmp_wav = NamedTemporaryFile(mode='w... | Python | nomic_cornstack_python_v1 |
function push list x
begin
append list x
end function
function pop list
begin
set x = list at - 1
del list at - 1
return x
end function
set list = list
call push list 1 | def push(list,x):
list.append(x)
def pop(list):
x=list[-1]
del list[-1]
return x
list=[]
push(list,1) | Python | zaydzuhri_stack_edu_python |
function get_sample_name self
begin
if have_metadata is false
begin
call _get_metadata
set have_metadata = true
end
end function | def get_sample_name(self):
if self.have_metadata is False:
self._get_metadata()
self.have_metadata = True
| Python | nomic_cornstack_python_v1 |
function from_service_account_info cls info *args **kwargs
begin
comment type: ignore
return call __func__ AdaptationAsyncClient info *args keyword kwargs
end function | def from_service_account_info(cls, info: dict, *args, **kwargs):
return AdaptationClient.from_service_account_info.__func__(AdaptationAsyncClient, info, *args, **kwargs) # type: ignore | Python | nomic_cornstack_python_v1 |
for contador in range 0 length listagem
begin
if contador % 2 == 0
begin
print string { listagem at contador } end=string
end
if contador % 2 == 1
begin
print string R$ { listagem at contador }
end
end
print string =- * 22 | for contador in range(0, len(listagem)):
if contador % 2 == 0:
print(f'{listagem[contador]:.<28}', end='')
if contador % 2 == 1:
print(f'R$ {listagem[contador]:>7.2f}')
print('=-'*22)
| Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Fri Dec 27 08:41:39 2019 @author: Osheen
comment Chapter 6 ##################
print string 6.1
set information = dict string first_name string neha ; string last_name string mishra ; string city string dubai
print information
print information at string first_name
print i... | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 27 08:41:39 2019
@author: Osheen
"""
############Chapter 6 ##################
print("6.1")
information ={'first_name' : 'neha', 'last_name': 'mishra' , 'city' : 'dubai'}
print(information)
print(information['first_name'])
print(information['last_name'])
print(informatio... | Python | zaydzuhri_stack_edu_python |
function __init__ __self__ field_mappings
begin
set __self__ string field_mappings field_mappings
end function | def __init__(__self__, *,
field_mappings: Sequence['outputs.RelationshipTypeFieldMappingResponse']):
pulumi.set(__self__, "field_mappings", field_mappings) | Python | nomic_cornstack_python_v1 |
function setup_ax ax=none wcs=none
begin
if not ax
begin
set fig = figure
if wcs is not none
begin
set ax = call add_subplot 111 projection=get attribute wcs string low_level_wcs wcs
end
else
begin
set ax = call add_subplot 111
end
end
return ax
end function | def setup_ax(ax=None, wcs=None):
if not ax:
fig = plt.figure()
if wcs is not None:
ax = fig.add_subplot(111, projection=getattr(wcs, "low_level_wcs", wcs))
else:
ax = fig.add_subplot(111)
return ax | Python | nomic_cornstack_python_v1 |
function one_stack_port_up self dpid dp_name port
begin
call set_port_up port dpid wait=false
call wait_for_stack_port_status dpid dp_name port 3
end function | def one_stack_port_up(self, dpid, dp_name, port):
self.set_port_up(port, dpid, wait=False)
self.wait_for_stack_port_status(dpid, dp_name, port, 3) | Python | nomic_cornstack_python_v1 |
for i in range 1 11
begin
print string 4 x i string = 4 * i
end | for i in range(1, 11):
print("4 x", i, "=", 4*i) | Python | jtatman_500k |
function linear_activation_forward_test_case
begin
seed 2
set A_prev = randn 3 2
set W = randn 1 3
set b = randn 1 1
return tuple A_prev W b
end function | def linear_activation_forward_test_case():
np.random.seed(2)
A_prev = np.random.randn(3,2)
W = np.random.randn(1,3)
b = np.random.randn(1,1)
return A_prev, W, b | Python | nomic_cornstack_python_v1 |
from itertools import product
import time
set start = time
function pattern n
begin
set l = list comprehension x for x in string n at slice : : 2
if all generator expression integer l at x - 1 == x for x in range 1 10
begin
return true
end
return false
end function
comment sqrt(19293949596979899)
set start = 13890266... | from itertools import product
import time
start = time.time()
def pattern(n):
l = [x for x in str(n)][::2]
if all(int(l[x-1]) == x for x in range(1,10)):
return True
return False
start = 138902663 # sqrt(19293949596979899)
while not pattern(start**2):
start -= 1
elapsed = time.time() - s... | Python | zaydzuhri_stack_edu_python |
comment first_session_only_tensorflow.py
import tensorflow as tf
set x = call constant 1 name=string x
set y = call Variable x + 9 name=string y
comment model = tf.initialize_all_variables()
set model = call global_variables_initializer
with call Session as session
begin
comment session.extend would be used to extend e... | #first_session_only_tensorflow.py
import tensorflow as tf
x = tf.constant(1, name='x')
y = tf.Variable(x + 9, name='y')
# model = tf.initialize_all_variables()
model =tf.global_variables_initializer()
with tf.Session() as session:
# session.extend would be used to extend execution graph wihle calculating
# ... | Python | zaydzuhri_stack_edu_python |
function fromstring text schema=none
begin
if schema
begin
set parser = call makeparser schema=schema
return call fromstring text parser=parser
end
else
begin
return call fromstring text
end
end function | def fromstring(text, schema=None):
if schema:
parser = objectify.makeparser(schema=schema.schema)
return objectify.fromstring(text, parser=parser)
else:
return objectify.fromstring(text) | Python | nomic_cornstack_python_v1 |
function _upload_post self
begin
comment Fetch the user's identifier from the request, which
comment contains the oauth2 creds.
try
begin
set token = headers at string X-IDTOKEN
end
except Exception as e
begin
return call Response string Missing credential token header 405
end
try
begin
set idinfo = call verify_id_toke... | def _upload_post(self):
# Fetch the user's identifier from the request, which
# contains the oauth2 creds.
try:
token = flask.request.headers['X-IDTOKEN']
except Exception as e:
return flask.Response('Missing credential token header', 405)
try:
... | Python | nomic_cornstack_python_v1 |
string Last edited: Vivien Tsao 9/19/18
import pickle as pkl
import numpy as np
import os
set root = strip get current directory string itin_gen
string SHARED CLASSES
string This sets up all the classes used by the final model(s).
comment user_preferences = pkl.load(open('austin.pkl', 'rb'))
set start = string St. Regi... | '''Last edited: Vivien Tsao 9/19/18'''
import pickle as pkl
import numpy as np
import os
root=os.getcwd().strip('itin_gen')
'''SHARED CLASSES'''
'''This sets up all the classes used by the final model(s).'''
# user_preferences = pkl.load(open('austin.pkl', 'rb'))
start = 'St. Regis'
stop = 'Hotel Vitale'
'''Trave... | Python | zaydzuhri_stack_edu_python |
comment entrada de dados
set numero = integer input string Digite um valor:
comment Verifica se o valor inserido pode ser calculado
while numero == 0 or numero < 1
begin
print string valor incorreto!
set numero = integer input string Digite um valor:
end
comment Processamento de impressao
for n in range 11
begin
print ... | #entrada de dados
numero = int(input("Digite um valor: "))
#Verifica se o valor inserido pode ser calculado
while(numero == 0 or numero < 1):
print("valor incorreto!")
numero = int(input("Digite um valor: "))
#Processamento de impressao
for n in range(11):
print(numero," X ",n," = ",numero *... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
import requests
import re
import subprocess
set HOST = string 2018shell3.picoctf.com
set PORT = string 52168
set USERNAME = string random_user
set PASSWORD = string make_up_some_crap
comment Sometimes the requests return some invalid crap and the code doesn't know how to deal with it
commen... | #!/usr/bin/env python
import requests
import re
import subprocess
HOST = "2018shell3.picoctf.com"
PORT = "52168"
USERNAME = 'random_user'
PASSWORD = 'make_up_some_crap'
# Sometimes the requests return some invalid crap and the code doesn't know how to deal with it
# So the requests just retry until they succeed...
... | Python | zaydzuhri_stack_edu_python |
comment Video Refrence:- https://www.youtube.com/watch?v=FsAPt_9Bf3U
string #revision of closure and function def outer_function(msg): message = msg def inner_function(): print(message) return inner_function hi_func = outer_function('hi') my_func = outer_function('bye') hi_func() my_func()
string # Decorator :- A decor... | #Video Refrence:- https://www.youtube.com/watch?v=FsAPt_9Bf3U
'''
#revision of closure and function
def outer_function(msg):
message = msg
def inner_function():
print(message)
return inner_function
hi_func = outer_function('hi')
my_func = outer_function('bye')
hi_func()
my_func()
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
comment python executables
import yaml
import json
from array import *
from Tkinter import *
function func value
begin
print value
end function
set root = call Tk
set options = list string 1 string 2 string 3
set var = call StringVar
set drop = call OptionMenu root var *options command=func
cal... | #!/usr/bin/python
# python executables
import yaml
import json
from array import *
from Tkinter import *
def func(value):
print(value)
root = Tk()
options = ["1", "2", "3"]
var = StringVar()
drop = OptionMenu(root, var, *options, command=func)
drop.place(x=10, y=10)
#import networkx as nx
#G = nx.Graph()
b=... | Python | zaydzuhri_stack_edu_python |
async function set_lock self resource lock_identifier lock_timeout
begin
string Lock this instance and set lock expiration time to lock_timeout :param resource: redis key to set :param lock_identifier: uniquie id of lock :param lock_timeout: timeout for lock in seconds :raises: LockError if lock is not acquired
set loc... | async def set_lock(self, resource, lock_identifier, lock_timeout):
"""
Lock this instance and set lock expiration time to lock_timeout
:param resource: redis key to set
:param lock_identifier: uniquie id of lock
:param lock_timeout: timeout for lock in seconds
:raises: Lo... | Python | jtatman_500k |
from tkinter import *
import math
comment ---------------------------- CONSTANTS ------------------------------- #
set PINK = string #e2979c
set RED = string #e7305b
set GREEN = string #9bdeac
set YELLOW = string #f7f5dd
set FONT_NAME = string Courier
set WORK_MIN = 25
set SHORT_BREAK_MIN = 5
set LONG_BREAK_MIN = 20
se... | from tkinter import *
import math
# ---------------------------- CONSTANTS ------------------------------- #
PINK = "#e2979c"
RED = "#e7305b"
GREEN = "#9bdeac"
YELLOW = "#f7f5dd"
FONT_NAME = "Courier"
WORK_MIN = 25
SHORT_BREAK_MIN = 5
LONG_BREAK_MIN = 20
REPS = 0
TIMER = None
# ---------------------------- TIMER RES... | Python | zaydzuhri_stack_edu_python |
import os
import csv
import threading
import webbrowser
import subprocess
import time
import signal
from texttable import Texttable
set filename = string interface/cap.csv
set url = string http://localhost:3000
set install_cmd = string cd interface && npm install
set command = string cd interface && npm run start
funct... | import os
import csv
import threading
import webbrowser
import subprocess
import time
import signal
from texttable import Texttable
filename = "interface/cap.csv"
url = "http://localhost:3000"
install_cmd = "cd interface && npm install"
command = "cd interface && npm run start"
def clearFile():
fd = open(filename... | Python | zaydzuhri_stack_edu_python |
function update_port_dhcp_opts self port_id dhcp_options token=none
begin
set port_req_body = dict string port dict string extra_dhcp_opts dhcp_options
try
begin
call update_port port_id port_req_body
end
except NeutronClientException
begin
exception call _LE string Failed to update Neutron port %s. port_id
raise call ... | def update_port_dhcp_opts(self, port_id, dhcp_options, token=None):
port_req_body = {'port': {'extra_dhcp_opts': dhcp_options}}
try:
_build_client(token).update_port(port_id, port_req_body)
except neutron_client_exc.NeutronClientException:
LOG.exception(_LE("Failed to upd... | Python | nomic_cornstack_python_v1 |
function nanmae pred target
begin
set cnt = sum dtype=dtype
set mae = call nansum absolute pred - target dim=- 1
return sum / cnt
end function | def nanmae(
pred: Tensor,
target: Tensor) -> Tensor:
cnt = torch.any(torch.isfinite(target), dim=-1).sum(dtype=target.dtype)
mae = torch.nansum(torch.abs(pred-target), dim=-1)
return mae.sum() / cnt | Python | nomic_cornstack_python_v1 |
function __init__ self outer_diameter=- 1 wall_thickness=- 1 material=string default
begin
set _diameter_outer = outer_diameter
set _wall_thickness = wall_thickness
set _material_name = material
set _materials = call Materials
set _coatings_material = string none
set _coatings_thickness = 0.0
set _coatings_density = 0.... | def __init__(self, outer_diameter=-1, wall_thickness=-1, material='default'):
self._diameter_outer = outer_diameter
self._wall_thickness = wall_thickness
self._material_name = material
#
self._materials = Materials()
#
self._coatings_material = 'none'
... | Python | nomic_cornstack_python_v1 |
import html5lib
import requests
from bs4 import BeautifulSoup
import csv
import pandas as pd
import copy
import urllib
print string Initializing...
function connect host=string http://google.com
begin
try
begin
url open host
return true
end
except any
begin
return false
end
end function
comment test
if call connect
beg... | import html5lib
import requests
from bs4 import BeautifulSoup
import csv
import pandas as pd
import copy
import urllib
print("Initializing...")
def connect(host='http://google.com'):
try:
urllib.request.urlopen(host)
return True
except:
return False
# test
if(connect()):
print("Ne... | Python | zaydzuhri_stack_edu_python |
function factorial n
begin
if n == 0
begin
return 1
end
else
begin
return n * call factorial n - 1
end
end function
set num = 5
print string The factorial of num string is call factorial num | def factorial(n):
if n == 0:
return 1
else:
return n * factorial(n-1)
num = 5
print("The factorial of", num, "is", factorial(num)) | Python | jtatman_500k |
class Solution
begin
function subsets self nums
begin
string Example: Input: nums = [1,2,3] Output: [ [3], [1], [2], [1,2,3], [1,3], [2,3], [1,2], [] ] :type nums: List[int] :rtype: List[List[int]] We can view the problem of forming subsets as successively adding items to a list. Let's clarify. For a given n, there are... | class Solution:
def subsets(self, nums):
"""
Example:
Input: nums = [1,2,3]
Output:
[
[3],
[1],
[2],
[1,2,3],
[1,3],
[2,3],
[1,2],
[]
]
:type nums: List[int]
:rtype: List[List[int]]
We can view the problem of forming subsets a... | Python | zaydzuhri_stack_edu_python |
while dreams
begin
set who_are_you = string Please enter your name:
set name = input who_are_you
set destination_promot = string { title name } , if you could visit only one place, where would you go?
set destination = input destination_promot
set dream_vacation at name = destination
set repeat = input string Would som... | while dreams:
who_are_you = 'Please enter your name: '
name = input(who_are_you)
destination_promot = f'{name.title()}, if you could visit only one place, where would you go? '
destination = input(destination_promot)
dream_vacation[name] = destination
repeat = input("Would someone else like to... | Python | zaydzuhri_stack_edu_python |
function generate_IMU_data path_root_IMU_data IMU_ID dict_all_data verbose=1
begin
if verbose > 0
begin
call printi string generate IMU data for IMU ID: + IMU_ID
end
set total_path = path_root_IMU_data + IMU_ID + string /
set list_all_files = list directory total_path
if string B in dict_all_data at IMU_ID
begin
pass
e... | def generate_IMU_data(path_root_IMU_data, IMU_ID, dict_all_data, verbose=1):
if verbose > 0:
printi("generate IMU data for IMU ID: " + IMU_ID)
total_path = path_root_IMU_data + IMU_ID + '/'
list_all_files = os.listdir(total_path)
if 'B' in dict_all_data[IMU_ID]:
pass
else:
... | Python | nomic_cornstack_python_v1 |
import unittest
from gaphas.item import Line
from gaphas.canvas import Canvas
from gaphas import state
set undo_list = list
set redo_list = list
function undo_handler event
begin
append undo_list event
end function
function undo
begin
set apply_me = list undo_list
del undo_list at slice : :
reverse apply_me
for e ... | import unittest
from gaphas.item import Line
from gaphas.canvas import Canvas
from gaphas import state
undo_list = []
redo_list = []
def undo_handler(event):
undo_list.append(event)
def undo():
apply_me = list(undo_list)
del undo_list[:]
apply_me.reverse()
for e in apply_me:
... | Python | zaydzuhri_stack_edu_python |
string Для чисел, що вводяться користувачем, визначити відсоток додатних та від’ємних чисел. При введенні числа 0 закінчити роботу.
set amountNumbers = 0
set negative = 0
set pozitive = 0
function check
begin
while true
begin
try
begin
set num = integer input string Input your number:
return num
end
except any
begin
pr... | '''Для чисел, що вводяться користувачем,
визначити відсоток додатних та від’ємних чисел.
При введенні числа 0 закінчити роботу.
'''
amountNumbers = 0
negative = 0
pozitive = 0
def check():
while True:
try:
num = int(input('Input your number: '))
return num
exc... | Python | zaydzuhri_stack_edu_python |
comment Найдите сумму 1+1/2+1/3+…+1/n.
from fractions import Fraction
set n = integer input string n:
set summ = 0
set i = 1
while i <= n
begin
set summ = summ + call Fraction 1 i
set i = i + 1
end
print summ | #Найдите сумму 1+1/2+1/3+…+1/n.
from fractions import Fraction
n = int(input("n:"))
summ = 0
i = 1
while i <= n:
summ += Fraction(1, i)
i+=1
print(summ)
| Python | zaydzuhri_stack_edu_python |
function find_path tree x
begin
if call label tree == x
begin
return list call label tree
end
for b in call branches tree
begin
set path = call find_path b x
if path
begin
return list call label tree + path
end
end
end function | def find_path(tree, x):
if label(tree) == x:
return [label(tree)]
for b in branches(tree):
path = find_path(b, x)
if path:
return [label(tree)] + path | Python | nomic_cornstack_python_v1 |
import math
import sys
set p = 14461
set p = 2161
set m = 17
set d = 8
function h x a b
begin
return x * a + b % p % m
end function
set cnt = 0
set same_cnt = 0
for b in range p
begin
for a in range p
begin
set same = call h 0 a b == call h 1 a b and call h 0 a b == call h d a b
set collide = true
set y = call h 0 a b
... | import math
import sys
p = 14461
p = 2161
m = 17
d = 8
def h(x, a, b):
return (x * a + b) % p % m
cnt = 0
same_cnt = 0
for b in range(p):
for a in range(p):
same = (h(0, a, b) == h(1, a, b) and h(0, a, b) == h(d, a, b))
collide = True
y = h(0, a, b)
for x in range(d + 1):
... | Python | zaydzuhri_stack_edu_python |
function get_optimizer model args
begin
comment Define optimizers and loss function
comment If you are using PyTorch 0.4.0 you need this weird filter
comment https://github.com/pytorch/pytorch/issues/679
comment no longer needed in 1.0.0
if optim_type == string Adam
begin
set optimizer = adam parameters model lr=optim_... | def get_optimizer(model, args):
# Define optimizers and loss function
# If you are using PyTorch 0.4.0 you need this weird filter
# https://github.com/pytorch/pytorch/issues/679
# no longer needed in 1.0.0
if args.optim_type == 'Adam':
optimizer = torch.optim.Adam(model.parameters(),
... | Python | nomic_cornstack_python_v1 |
function index_rtypes self
begin
set metric = index_metric
set out = dict
for fnode in values nodes
begin
comment only consider outgoing relationships because looping over
comment all object anyways, so will cover everything
for tuple rtype dest in outgoing_relations
begin
set dnode = nodes at dest
comment merge outgo... | def index_rtypes(self):
metric = self.index_metric
out = {}
for fnode in self.nodes.values():
# only consider outgoing relationships because looping over
# all object anyways, so will cover everything
for (rtype, dest) in fnode.outgoing_relations:
... | Python | nomic_cornstack_python_v1 |
comment ! /usr/bin/env python3
comment import rospy
import rospy
comment import service message
from std_srvs.srv import Empty , EmptyResponse
comment import twist
from geometry_msgs.msg import Twist
comment definisikan fungsi my_callback
function my_callback request
begin
comment menset loginfo "service bb8_move_in_ci... | #! /usr/bin/env python3
import rospy #import rospy
from std_srvs.srv import Empty, EmptyResponse #import service message
from geometry_msgs.msg import Twist #import twist
def my_callback(request): #definisikan fungsi my_callback
rospy.loginfo("service bb8_move_in_circle telah dipanggil") # menset loginfo "service... | Python | zaydzuhri_stack_edu_python |
import io
import tensorflow as tf
import numpy as np
set iris_train = list
set iris_target = list
set iris_target_dict = dict string setosa 0 ; string versicolor 1 ; string virginica 2
set iris = open string ./iris.csv
set i = 0
for line in iris
begin
set tmp_ls = list comprehension 0 for i in range 4
set tmp_dict = ... | import io
import tensorflow as tf
import numpy as np
iris_train = []
iris_target = []
iris_target_dict = {'setosa':0,'versicolor':1,'virginica':2}
iris = io.open("./iris.csv")
i = 0
for line in iris :
tmp_ls = [0 for i in range(4)]
tmp_dict = [0,0,0]
line = line.replace("\n","")
tmp_ls[0],tmp_ls[1],tm... | Python | zaydzuhri_stack_edu_python |
function clearNextLayer self
begin
set nextLayer = list
end function | def clearNextLayer(self):
self.nextLayer = [] | Python | nomic_cornstack_python_v1 |
string Created on 2017年4月6日 @author: test
class goNews
begin
comment 验证图片是否显示，输入XPath，输出结果
function pPlayed self driver1 inputXpath
begin
set driver = driver1
set inputXpath1 = inputXpath
set p1 = call find_element_by_xpath inputXpath1
assert call is_displayed
return string 图片展示 Verified OK
end function
function quitPa... | '''
Created on 2017年4月6日
@author: test
'''
class goNews():
#验证图片是否显示，输入XPath，输出结果
def pPlayed(self,driver1,inputXpath):
driver = driver1
inputXpath1=inputXpath
p1 =driver.find_element_by_xpath(inputXpath1)
assert p1.is_displayed()
return (" 图片展示 Verified OK")
def q... | Python | zaydzuhri_stack_edu_python |
function override_serializer format_output dimension base_serializer_class
begin
if format_output == string geojson
begin
if dimension == string 3
begin
class GeneratedGeo3DSerializer extends Base3DSerializer BaseGeoJSONSerializer base_serializer_class
begin
class Meta extends Meta Meta
begin
pass
end class
end class
s... | def override_serializer(format_output, dimension, base_serializer_class):
if format_output == 'geojson':
if dimension == '3':
class GeneratedGeo3DSerializer(Base3DSerializer,
BaseGeoJSONSerializer,
base_seriali... | Python | nomic_cornstack_python_v1 |
function neg_test self
begin
set z = linear space 0 1 100
set b = - linear 0 1
assert call allclose call b z - z
end function | def neg_test(self):
z = np.linspace(0, 1, 100)
b = -ph.motion.Linear(0,1)
assert(np.allclose(b(z),-z)) | Python | nomic_cornstack_python_v1 |
import csv
class Node
begin
function __init__ self *args
begin
set tuple Index CutPredictor CutPoint IsBranchNode NodeClass Parent ChildL ChildR = args at 0
set index = Index
set cutPredictor = CutPredictor
set cutPoint = decimal CutPoint
set isBranch = IsBranchNode
set nodeClass = if expression NodeClass == string 0 t... | import csv
class Node():
def __init__(self, *args):
Index,CutPredictor,CutPoint,IsBranchNode,NodeClass,Parent,ChildL,ChildR = args[0]
self.index = Index
self.cutPredictor = CutPredictor
self.cutPoint = float(CutPoint)
self.isBranch = IsBranchNode
self.nodeClass = "N... | Python | zaydzuhri_stack_edu_python |
function build_model self inputs
begin
info string start building model
set tuple cls_outputs box_outputs = call build_model model_name inputs keyword model_config
comment Write to tfevent for tensorboard.
set train_writer = call FileWriter logdir
call add_graph call get_default_graph
flush train_writer
set all_outputs... | def build_model(self, inputs: tf.Tensor) -> List[tf.Tensor]:
logging.info('start building model')
cls_outputs, box_outputs = inference.build_model(
self.model_name,
inputs,
**self.model_config)
# Write to tfevent for tensorboard.
train_writer = tf.summary.FileWriter(self.logdir)... | Python | nomic_cornstack_python_v1 |
import types
import typing
import abc
class Strategy
begin
function __init__ self name=string Strategy Example 0 func=none
begin
set name = name
if func
begin
set execute = call MethodType func self
end
end function
function execute self
begin
print name
end function
end class
function execute_replacement1 self
begin
p... | import types
import typing
import abc
class Strategy:
def __init__(self, name='Strategy Example 0', func=None):
self.name = name
if func:
self.execute = types.MethodType(func, self)
def execute(self):
print (self.name)
def execute_replacement1(self):
print(self.name... | Python | zaydzuhri_stack_edu_python |
function fieldhelp2 self fieldid
begin
set txt = list
set dd_desc = Globals at string ^DD at fileid at fieldid at 21
for tuple k v in call keys_with_decendants
begin
append txt value
end
return join string txt
end function | def fieldhelp2(self, fieldid):
txt = []
dd_desc = M.Globals["^DD"][self.fileid][fieldid][21]
for k,v in dd_desc.keys_with_decendants():
txt.append(dd_desc[k][0].value)
return '\n'.join(txt) | Python | nomic_cornstack_python_v1 |
import tensorflow as tf
import os
import pandas as pd
from PIL import Image
import dataset_util
import sys
if length argv == 2
begin
set set = argv at 1
end
else
begin
set set = string train
end
set output_record_path = format string ../data/{}.record set
set images_path = format string ../data/{}/resized_images set
se... | import tensorflow as tf
import os
import pandas as pd
from PIL import Image
import dataset_util
import sys
if len(sys.argv) == 2:
set = sys.argv[1]
else:
set = 'train'
output_record_path = '../data/{}.record'.format(set)
images_path = '../data/{}/resized_images'.format(set)
pdts_path = '../data/products.csv'... | Python | zaydzuhri_stack_edu_python |
import pyflight
import pickle
from results_printer import print_results
from secrets import API_KEY
comment seting our QPX api key - from Google APIs console
call set_api_key API_KEY
comment pyflight.set_queries_per_day(50)
comment define our trip
comment slice is a one way route - from where - to where you want to fly... | import pyflight
import pickle
from results_printer import print_results
from secrets import API_KEY
# seting our QPX api key - from Google APIs console
pyflight.set_api_key(API_KEY)
# pyflight.set_queries_per_day(50)
# define our trip
# slice is a one way route - from where - to where you want to fly
stage1 = pyfligh... | Python | zaydzuhri_stack_edu_python |
function CreateFromDocument xml_text default_namespace=none location_base=none
begin
if XMLStyle_saxer != _XMLStyle
begin
set dom = call StringToDOM xml_text
return call CreateFromDOM documentElement default_namespace=default_namespace
end
if default_namespace is none
begin
set default_namespace = call fallbackNamespac... | def CreateFromDocument (xml_text, default_namespace=None, location_base=None):
if pyxb.XMLStyle_saxer != pyxb._XMLStyle:
dom = pyxb.utils.domutils.StringToDOM(xml_text)
return CreateFromDOM(dom.documentElement, default_namespace=default_namespace)
if default_namespace is None:
default_n... | Python | nomic_cornstack_python_v1 |
function __get_rule_items self law rules **kwargs
begin
info string Collecting report data for "%s" string law
set items : List at RuleItem = list
for rule in rules
begin
set items = items + tuple call __get_rule_item_from_rule law rule keyword kwargs
end
return items
end function | def __get_rule_items(
self, law: Law, rules: Iterable[Rule], **kwargs
) -> List[RuleItem]:
logging.info('Collecting report data for "%s"', str(law))
items: List[RuleItem] = list()
for rule in rules:
items += (self.__get_rule_item_from_rule(law, rule, **kwargs),)
... | Python | nomic_cornstack_python_v1 |
function relationships self r_type=none n_ids=tuple
begin
if r_type is none
begin
set r_sets = list
end
else
begin
set r_sets = list get _relationships_by_type r_type call frozenset
end
if not n_ids or has attribute n_ids string __iter__ and all generator expression n_id is none for n_id in n_ids
begin
pass
end
else
i... | def relationships(self, r_type=None, n_ids=()):
if r_type is None:
r_sets = []
else:
r_sets = [self._relationships_by_type.get(r_type, frozenset())]
if not n_ids or (hasattr(n_ids, "__iter__") and all(n_id is None for n_id in n_ids)):
pass
elif isinsta... | Python | nomic_cornstack_python_v1 |
function scrape_sport sport url favorite_list
begin
if not url
begin
return list
end
set matchups = list
for favorite in favorite_list
begin
set matchups = matchups + call scrape_sport_favorite sport url favorite
end
return matchups
end function | def scrape_sport(sport, url, favorite_list):
if not url:
return []
matchups = []
for favorite in favorite_list:
matchups += scrape_sport_favorite(sport, url, favorite)
return matchups | Python | nomic_cornstack_python_v1 |
string Created on wed Sept 26 9:32 2018 Author : Han Yue South East University Automation College, 211hna189 Nanjing China
import numpy as np
from poseevaluation.mpii import *
import poseevaluation
string metrics: 1.pcp(percentage of correct parts) 2.pckh(percentage of correct keypoints)
string The canonical part stick... | '''
Created on wed Sept 26 9:32 2018
Author : Han Yue
South East University Automation College, 211hna189 Nanjing China
'''
import numpy as np
from poseevaluation.mpii import *
import poseevaluation
"""
metrics:
1.pcp(percentage of correct parts)
2.pckh(percentage of correct keypoints)
"""
"... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
from __future__ import print_function
import sys
import traceback
import signal
import curses
import atexit
import life
function main *args
begin
set std_scr = call initscr
set iter_max = none
global resizing
set resizing = false
function resize *args
begin
global resizing
set resizing = tr... | #!/usr/bin/env python
from __future__ import print_function
import sys
import traceback
import signal
import curses
import atexit
import life
def main(*args):
std_scr = curses.initscr()
iter_max = None
global resizing
resizing = False
def resize(*args):
global resizing
resizing = True
... | Python | zaydzuhri_stack_edu_python |
function img_to_array_raw img data_format=string channels_last dtype=string float32
begin
if data_format not in set literal string channels_first string channels_last
begin
raise call ValueError string Unknown data_format: %s % data_format
end
comment Numpy array x has format (height, width, channel)
comment or (channe... | def img_to_array_raw(img, data_format='channels_last', dtype='float32'):
if data_format not in {'channels_first', 'channels_last'}:
raise ValueError('Unknown data_format: %s' % data_format)
# Numpy array x has format (height, width, channel)
# or (channel, height, width)
# but original PIL image... | Python | nomic_cornstack_python_v1 |
class Point
begin
function __init__ self x y
begin
set x = x
set y = y
end function
end class
class Rectangle
begin
function __init__ self ux uy lx ly
begin
comment upper left(u) to lower right(l)
set ux = ux
set uy = uy
set lx = lx
set ly = ly
end function
function is_present self item
begin
comment the origin is at t... | class Point:
def __init__(self,x,y):
self.x=x
self.y=y
class Rectangle:
def __init__(self,ux,uy,lx,ly):
#upper left(u) to lower right(l)
self.ux=ux
self.uy=uy
self.lx=lx
self.ly=ly
def is_present(self,item):
#the origin is at the bottom left
if (type(item)==Point):
if (self.ux<=item.x<=self.... | Python | zaydzuhri_stack_edu_python |
function _represent self allele
begin
if is instance allele MouseAllele
begin
return string %s-%s%s%s % tuple organism locus upper supertype subtype
end
else
begin
return string %s-%s%s%s % tuple organism locus supertype subtype
end
end function | def _represent(self, allele):
if isinstance(allele, MouseAllele):
return "%s-%s%s%s" % (allele.organism, allele.locus, allele.supertype.upper(), allele.subtype)
else:
return "%s-%s%s%s" % (allele.organism, allele.locus, allele.supertype, allele.subtype) | Python | nomic_cornstack_python_v1 |
comment this returns a file object
set f = open string pythonFile.txt string r
comment read() method is for reading the content of the file
print string The content of the file: read f
comment close the file when you are finish with it
close f | # this returns a file object
f=open("pythonFile.txt","r")
#read() method is for reading the content of the file
print("The content of the file:",f.read())
#close the file when you are finish with it
f.close()
| Python | zaydzuhri_stack_edu_python |
function enviar_contacto request
begin
set formulario = call ContactoForm
if method == string POST
begin
set formulario = call ContactoForm POST
if call is_valid
begin
set mail = call EmailMessage subject=string HPC Contacto from_email=cleaned_data at string email to=EMAIL_TO
set body = string El usuario %s ha comentad... | def enviar_contacto(request):
formulario = ContactoForm()
if request.method == 'POST':
formulario = ContactoForm(request.POST)
if formulario.is_valid():
mail = EmailMessage(subject='HPC Contacto',
from_email=formulario.cleaned_data['email'],
... | Python | nomic_cornstack_python_v1 |
comment FUNCTION
function imprimir_matriz matriz
begin
set a = string
for k in range 3
begin
for j in range 3
begin
comment print(m[k][j])
set a = a + string matriz at k at j + string
end
print a
set a = string
end
end function
function cambio_optimo cambio_total
begin
comment Array de monedas que tenemos que combin... | # FUNCTION
def imprimir_matriz(matriz):
a = ""
for k in range(3):
for j in range(3):
# print(m[k][j])
a += str(matriz[k][j])+'\t'
print(a)
a = ""
def cambio_optimo(cambio_total):
# Array de monedas que tenemos que combinar
posibles_monedas... | Python | zaydzuhri_stack_edu_python |
comment Adds List Element as value of List.
set List = list string Mathematics string chemistry 1997 2000
comment List.append(10087)
insert List 2 1204
print List | # Adds List Element as value of List.
List = ['Mathematics', 'chemistry', 1997, 2000]
#List.append(10087)
List.insert(2,1204)
print(List)
| Python | zaydzuhri_stack_edu_python |
from collections import defaultdict
import numpy as np
function count_valid file
begin
string Counts number of valid passphrases in input file. Each passphrase (line) must not contain repeated words. Tests: ok: aa bb cc dd ee not ok: aa bb cc dd aa ok: aa bb cc dd aaa
set count = 0
with open file string r as fin
begin
... | from collections import defaultdict
import numpy as np
def count_valid(file):
"""
Counts number of valid passphrases in input file.
Each passphrase (line) must not contain repeated words.
Tests:
ok: aa bb cc dd ee
not ok: aa bb cc dd aa
ok: aa bb cc dd aaa
"""
count = 0... | Python | zaydzuhri_stack_edu_python |
function stationary_distribution self
begin
set Q = generator_matrix
set n = shape at 0
set A = vertical stack tuple Q ones tuple 1 n
set B = zeros tuple n + 1 1
set B at - 1 = 1
set stationary_distribution = call _solve_least_squares A B
return stationary_distribution
end function | def stationary_distribution(self):
Q = self.generator_matrix
n = Q.shape[0]
A = np.vstack((Q, np.ones((1, n))))
B = np.zeros((n + 1, 1))
B[-1] = 1
stationary_distribution = _solve_least_squares(A, B)
return stationary_distribution | Python | nomic_cornstack_python_v1 |
function plot_temp
begin
set work_book = call open_workbook string Temp.xls
set sheet1 = call sheet_by_name string Temperature
set time_x = call col_values 1
set temp_y = call col_values 0
title plt string Time
x label string Time
y label string Temperature
plot time_x temp_y
show
end function | def plot_temp():
work_book = xlrd.open_workbook("Temp.xls")
sheet1 = work_book.sheet_by_name("Temperature")
time_x = sheet1.col_values(1)
temp_y = sheet1.col_values(0)
plt.title("Time")
plt.xlabel("Time")
plt.ylabel("Temperature")
plt.plot(time_x, temp_y)
plt.show() | Python | nomic_cornstack_python_v1 |
function move_forward self
begin
comment moves position forward in the doubly linked list
if _curr is none
begin
raise call EmptyListError string Cannot move forward because the doubly linked list is empty
end
else
if _curr == _tail or next is none
begin
raise call IndexError string Cannot go past the end of the doubly... | def move_forward(self):
# moves position forward in the doubly linked list
if self._curr is None:
raise DoublyLinkedList.EmptyListError('Cannot move forward because the doubly linked list is empty')
elif (self._curr == self._tail) or (self._curr.next is None):
raise Index... | Python | nomic_cornstack_python_v1 |
function Run self args
begin
set impersonate_service_account = get impersonate_service_account
if impersonate_service_account
begin
warning format string Impersonate service account '{}' is detected. This command cannot be used to print the access token for an impersonate account. The token below is still the applicati... | def Run(self, args):
impersonate_service_account = (
properties.VALUES.auth.impersonate_service_account.Get())
if impersonate_service_account:
log.warning(
"Impersonate service account '{}' is detected. This command cannot be"
' used to print the access token for an impersonate... | Python | nomic_cornstack_python_v1 |
function make_new_folder folder
begin
if is directory path folder
begin
pass
end
else
begin
make directory os folder
end
end function | def make_new_folder(folder):
if os.path.isdir(folder):
pass
else:
os.mkdir(folder) | Python | nomic_cornstack_python_v1 |
function delete self evt=none
begin
for link in copy next_links
begin
delete
end
end function | def delete(self, evt=None):
for link in self.next_links.copy():
link.delete() | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python
comment -*- coding: utf-8 -*-
import sqlite3
import sys
import os
set db_filename = string zone1db.db
set schema_filename = string zoneDBSchema.sql
set db_is_new = not exists path db_filename
with call connect db_filename as conn
begin
if db_is_new
begin
print string Creating schema
with open s... | #!/usr/bin/python
# -*- coding: utf-8 -*-
import sqlite3
import sys
import os
db_filename = 'zone1db.db'
schema_filename = 'zoneDBSchema.sql'
db_is_new = not os.path.exists(db_filename)
with sqlite3.connect(db_filename) as conn:
if db_is_new:
print ('Creating schema')
with open(schema_filename... | Python | zaydzuhri_stack_edu_python |
function auto_color stream=stdin
begin
set term_name = lower get environ string TERM string
if call isatty and term_name in KNOWN_TERMINAL_TYPES or string xterm in term_name
begin
return call VtColor
end
return call NoColor
end function | def auto_color(stream=sys.stdin):
term_name = os.environ.get("TERM", "").lower()
if (stream.isatty()
and (term_name in KNOWN_TERMINAL_TYPES or "xterm" in term_name)):
return VtColor()
return NoColor() | Python | nomic_cornstack_python_v1 |
function cardholder_signature self cardholder_signature
begin
set _cardholder_signature = cardholder_signature
end function | def cardholder_signature(self, cardholder_signature):
self._cardholder_signature = cardholder_signature | Python | nomic_cornstack_python_v1 |
function scale self scalar
begin
string Multiply a polynomial with a scalar
return call __class__ list comprehension coefficients at i * scalar for i in call _range length self
end function | def scale(self, scalar):
'''Multiply a polynomial with a scalar'''
return self.__class__([self.coefficients[i] * scalar for i in _range(len(self))]) | Python | jtatman_500k |
function test_entropy_bounds_hold self
begin
print string
print string L1 = % 7.5f % L1
print string L1_lb2 = % 7.5f % L1_lb2
print string L1_lb = % 7.5f % L1_lb
assert L1 > L1_lb
assert L1 > L1_lb2
print string
print string L2 = % 7.5f % L2
print string L2_lb2 = % 7.5f % L2_lb2
print string L2_lb = % 7.5f % L2_lb
asse... | def test_entropy_bounds_hold(self):
print('')
print('L1 = % 7.5f' % (self.L1))
print('L1_lb2 = % 7.5f' % (self.L1_lb2))
print('L1_lb = % 7.5f' % (self.L1_lb))
assert self.L1 > self.L1_lb
assert self.L1 > self.L1_lb2
print('')
print('L2 = % 7.5f'... | Python | nomic_cornstack_python_v1 |
comment coding: utf-8
set __author__ = string Jux.Liu
class BinaryNode extends object
begin
function __init__ self data=none left_child=none right_child=none parent=none
begin
set data = data
set left_child = left_child
set right_child = right_child
if left_child
begin
set parent = self
end
if right_child
begin
set par... | # coding: utf-8
__author__ = 'Jux.Liu'
class BinaryNode(object):
def __init__(self, data=None, left_child=None, right_child=None, parent=None):
self.data = data
self.left_child = left_child
self.right_child = right_child
if left_child:
self.left_child.parent = self
... | Python | zaydzuhri_stack_edu_python |
import logging
import numpy as np
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error , mean_absolute_error
from helpers.datasets import load_training_test_datasets
from helpers import constants
set FORMAT = string %(asctime)-15s %(message)s
call basicConfig level=DEBUG form... | import logging
import numpy as np
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error, mean_absolute_error
from helpers.datasets import load_training_test_datasets
from helpers import constants
FORMAT = '%(asctime)-15s %(message)s'
logging.basicConfig(level=logging.DEBUG,... | Python | zaydzuhri_stack_edu_python |
async function search_wikipedia term
begin
set url = string http://en.wikipedia.org/w/api.php
set params = dict string action string opensearch ; string search term ; string format string json
async_with call ClientSession as session
begin
async_with get session url params=params as resp
begin
set json_response = await... | async def search_wikipedia(term: str) -> rx.AsyncObservable[str]:
url = "http://en.wikipedia.org/w/api.php"
params = {"action": "opensearch", "search": term, "format": "json"}
async with aiohttp.ClientSession() as session:
async with session.get(url, params=params) as resp:
json_respon... | Python | nomic_cornstack_python_v1 |
comment Natural Langauge Processing
comment Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
comment importing the dataset
comment quoting for ignor
set dataset = read csv string Restaurant_Reviews.tsv delimiter=string quoting=3
comment cleaning the text
import re
import n... | #Natural Langauge Processing
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
#importing the dataset
dataset= pd.read_csv('Restaurant_Reviews.tsv', delimiter='\t', quoting=3 )#quoting for ignor
#cleaning the text
import re
import nltk
from nltk.corpus imp... | Python | zaydzuhri_stack_edu_python |
comment python b6-comment.py
from bs4 import BeautifulSoup
with open string example.html string r as l
begin
set soup = call BeautifulSoup l string lxml
end
set comment = string
print comment
print type comment
print call prettify | # python b6-comment.py
from bs4 import BeautifulSoup
with open("example.html" ,"r") as l:
soup = BeautifulSoup(l ,"lxml")
comment = soup.p.string
print(comment)
print(type(comment))
print(soup.p.prettify()) | Python | zaydzuhri_stack_edu_python |
class Solution extends object
begin
function getRow self rowIndex
begin
string :type rowIndex: int :rtype: List[int]
if rowIndex == 0
begin
return list 1
end
set re = list list 1
for i in range 1 rowIndex + 1
begin
set x1 = list 0 + re at - 1
set x2 = re at - 1 + list 0
set new = list
for j in range length x1
begin
ap... | class Solution(object):
def getRow(self, rowIndex):
"""
:type rowIndex: int
:rtype: List[int]
"""
if rowIndex == 0:
return [1]
re = [[1]]
for i in range(1, rowIndex+1):
x1 = [0]+re[-1]
x2 = re[-1]+[0]
new = []
... | Python | zaydzuhri_stack_edu_python |
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