code
stringlengths
10
2.58M
original_code
stringlengths
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stringclasses
7 values
function mention self begin return string <@& { id } > end function
def mention(self) -> str: return f"<@&{self.id}>"
Python
nomic_cornstack_python_v1
import os import csv class DatasetReader extends object begin string For each file we have next#Next line to read function __init__ self filename toread=0 delimiter=string , filesize=0 init=false begin set filename = filename set filesize = filesize set toRead = toread set delimiter = delimiter set info = dictionary if...
import os import csv class DatasetReader(object): """ For each file we have next#Next line to read """ def __init__(self, filename, toread=0, delimiter=',', filesize=0, init=False): self.filename = filename self.filesize = filesize self.toRead = toread self.delimit...
Python
zaydzuhri_stack_edu_python
function bot_see self mess args begin try begin return string %s is %s % tuple args call __getattribute__ args end except AttributeError begin return string No such attribute end end function
def bot_see(self, mess, args): try: return "%s is %s" % (args, bc.__getattribute__(args)) except AttributeError: return "No such attribute"
Python
nomic_cornstack_python_v1
function updateMktDepth self id position operation side price size begin pass end function
def updateMktDepth(self, id, position, operation, side, price, size): pass
Python
nomic_cornstack_python_v1
comment coding=utf-8 string 4. 给定一个正整数N,将其表示为数字1,2,5,11相加的形式输出。 要求上述数字出现的总次数最少(每个数字可以重复使用)。 输入说明:一个正整数N (N<= 10000)。 输入:21 输出:11 5 5 tuple 1 2 5 11 set x = integer input string 请输入一个你比较喜欢的正整数: print print string 准备好了吗?我要开拆了哈,嘿嘿... while x >= 11 begin set x = x - 11 print 11 end while x >= 5 begin set x = x - 5 print 5 ...
# coding=utf-8 '''4. 给定一个正整数N,将其表示为数字1,2,5,11相加的形式输出。 要求上述数字出现的总次数最少(每个数字可以重复使用)。 输入说明:一个正整数N (N<= 10000)。 输入:21 输出:11 5 5 ''' 1,2,5,11 x=int(input('请输入一个你比较喜欢的正整数:')) print() print('准备好了吗?我要开拆了哈,嘿嘿...') while x>=11: x=x-11 print(11) while x>=5: x=x-5 print(5) while x>=2: x=x-2 print(2) ...
Python
zaydzuhri_stack_edu_python
from PIL import Image set image = open string image.jpg set rotated_image = call rotate 90 save string rotated_image.jpg comment This will open the image file 'image.jpg', rotate it 90 degrees, and save it as 'rotated_image.jpg'.
from PIL import Image image = Image.open('image.jpg') rotated_image = image.rotate(90) rotated_image.save('rotated_image.jpg') # This will open the image file 'image.jpg', rotate it 90 degrees, and save it as 'rotated_image.jpg'.
Python
flytech_python_25k
for i in range 2 25 begin print i * 5 end for i in range 10 121 5 begin print i end string x = 10 while x <= 120: print(x) x += 5
for i in range(2,25): print(i*5) for i in range(10,121,5): print(i) ''' x = 10 while x <= 120: print(x) x += 5 '''
Python
zaydzuhri_stack_edu_python
function safecall func begin function wrapper *args **kwargs begin try begin return call func *args keyword kwargs end except Exception begin pass end end function return wrapper end function
def safecall(func): def wrapper(*args, **kwargs): try: return func(*args, **kwargs) except Exception: pass return wrapper
Python
nomic_cornstack_python_v1
set n1 = decimal input string Ciência Humanas: set p1 = integer input string Peso: set n2 = decimal input string Ciências da Natureza: set p2 = integer input string Peso: set n3 = decimal input string Linguagens: set p3 = integer input string Peso: set n4 = decimal input string Matemática: set p4 = integer input string...
n1 = float(input('Ciência Humanas: ')) p1 = int(input('Peso: ')) n2 = float(input('Ciências da Natureza: ')) p2 = int(input('Peso: ')) n3 = float(input('Linguagens: ')) p3 = int(input('Peso: ')) n4 = float(input('Matemática: ')) p4 = int(input('Peso: ')) n5 = float(input('Redação: ')) p5 = int(input('Peso: ')) calculo...
Python
zaydzuhri_stack_edu_python
function blocking_navigate_and_get_source self url timeout=DEFAULT_TIMEOUT_SECS begin string Do a blocking navigate to url `url`, and then extract the response body and return that. This effectively returns the *unrendered* page content that's sent over the wire. As such, if the page does any modification of the contai...
def blocking_navigate_and_get_source(self, url, timeout=DEFAULT_TIMEOUT_SECS): ''' Do a blocking navigate to url `url`, and then extract the response body and return that. This effectively returns the *unrendered* page content that's sent over the wire. As such, if the page does any modification of the conta...
Python
jtatman_500k
function divide2 a b begin try begin return a * 1.0 / b end except ZeroDivisionError begin raise call ValueError string Zero division Error! end except Exception as e begin raise e end end function
def divide2(a, b): try: return a * 1.0 / b except ZeroDivisionError: raise ValueError("Zero division Error!") except Exception as e: raise e
Python
nomic_cornstack_python_v1
from iancraft.buttons import Button from iancraft.constants import BACKGROUNDS from iancraft.constants import BUTTONS from iancraft.constants import FONTS from iancraft.constants import STATES from iancraft.constants import WHITE from iancraft.states import State from iancraft.utils import set_next_state from pygame.fo...
from iancraft.buttons import Button from iancraft.constants import BACKGROUNDS from iancraft.constants import BUTTONS from iancraft.constants import FONTS from iancraft.constants import STATES from iancraft.constants import WHITE from iancraft.states import State from iancraft.utils import set_next_state from pygame.fo...
Python
zaydzuhri_stack_edu_python
function clear self begin call initialize end function
def clear(self): self.initialize()
Python
nomic_cornstack_python_v1
function xinfo_groups self stream begin string Retrieve the consumer groups for a stream set fut = execute self b'XINFO' b'GROUPS' stream return call wait_convert fut parse_lists_to_dicts end function
def xinfo_groups(self, stream): """Retrieve the consumer groups for a stream""" fut = self.execute(b'XINFO', b'GROUPS', stream) return wait_convert(fut, parse_lists_to_dicts)
Python
jtatman_500k
import matplotlib.pyplot as plt import seaborn as sns from sklearn.cluster import AgglomerativeClustering from sklearn.datasets.samples_generator import make_blobs from scipy.cluster.hierarchy import linkage , dendrogram import pandas as pd comment preparo la visualizzazione set rcParams at string figure.figsize = tupl...
import matplotlib.pyplot as plt import seaborn as sns from sklearn.cluster import AgglomerativeClustering from sklearn.datasets.samples_generator import make_blobs from scipy.cluster.hierarchy import linkage, dendrogram import pandas as pd # preparo la visualizzazione plt.rcParams["figure.figsize"] = (12, 8) sns.set()...
Python
zaydzuhri_stack_edu_python
for i in range 1 n begin if integer list at i < mini begin set mini = integer list at i set flag = 1 set c = i + 1 end else if integer list at i == mini begin set flag = 0 end end
for i in range(1,n): if int(list[i]) < mini: mini=int(list[i]) flag=1 c=i+1 elif int(list[i])==mini : flag=0
Python
zaydzuhri_stack_edu_python
function add_notification_listener self notification_type notification_callback begin string Add a notification callback to the notification center. Args: notification_type: A string representing the notification type from .helpers.enums.NotificationTypes notification_callback: closure of function to call when event is...
def add_notification_listener(self, notification_type, notification_callback): """ Add a notification callback to the notification center. Args: notification_type: A string representing the notification type from .helpers.enums.NotificationTypes notification_callback: closure of function to call wh...
Python
jtatman_500k
string full cycle as a function import components import SteamGenerator_Matt as SG import Condenser from iapws import IAPWS97 as steam class state begin comment inlet temperature (K) set T = 0.0 comment inlet pressure (MPa) set P = 0.0 comment mass flow rate (kg/s) set m = 0.0 comment specific enthalpy (kJ/kg) set h = ...
""" full cycle as a function """ import components import SteamGenerator_Matt as SG import Condenser from iapws import IAPWS97 as steam class state(): T = 0.0 # inlet temperature (K) P = 0.0 # inlet pressure (MPa) m = 0.0 # mass flow rate (kg/s) h = 0.0 # specific enthalpy (kJ/kg) s = 0.0 # specif...
Python
zaydzuhri_stack_edu_python
comment Definition for singly-linked list. class ListNode extends object begin function __init__ self x begin set val = x set next = none end function end class class Solution extends object begin function deleteNode self node begin set nextNode = next if nextNode is none begin set node = nextNode end else begin set va...
# Definition for singly-linked list. class ListNode(object): def __init__(self, x): self.val = x self.next = None class Solution(object): def deleteNode(self, node): nextNode = node.next if nextNode is None: node = nextNode else: node.val = nextN...
Python
zaydzuhri_stack_edu_python
set nickel = integer call raw_input string How many nickels do you have? set twoCent = integer call raw_input string How many two-cent pieces do you have? set penny = integer call raw_input string How many pennies do you have? set total = 5 * nickel + 2 * twoCent + penny
nickel = int(raw_input("How many nickels do you have?")) twoCent = int(raw_input("How many two-cent pieces do you have?")) penny = int(raw_input("How many pennies do you have?")) total = 5*nickel+2*twoCent+penny
Python
zaydzuhri_stack_edu_python
function z2rt self z begin set v = vertex set u = pivot set e1 = call roll v - 1 - v set w = z at tuple Ellipsis newaxis - v at u set r = absolute w set t = call angle w / e1 at u set tmin = call angle v at tuple slice : : newaxis - v at u / e1 at u for tuple i j in enumerate u begin set tmin at tuple slice : : i...
def z2rt(self,z): v = self.vertex u = self.pivot e1 = np.roll(v,-1) - v w = z[...,np.newaxis] - v[u] r = np.abs(w) t = np.angle(w/(e1[u])) tmin = np.angle((v[:,np.newaxis] - v[u])/e1[u]) for (i,j) in enumerate(u): tmin[:,i] = np.roll(tmin[:,i...
Python
nomic_cornstack_python_v1
comment !/usr/bin/env python string Advent of Code 2020 import os import re import math import collections from enum import Enum from dataclasses import dataclass set me = base name path __file__ set DEFAULT_INPUT_FILE = string input/ + replace me string .py string .txt set LOW_HIGH_MAP = dictionary F=0 L=0 B=1 R=1 cla...
#!/usr/bin/env python """ Advent of Code 2020 """ import os import re import math import collections from enum import Enum from dataclasses import dataclass me = os.path.basename(__file__) DEFAULT_INPUT_FILE = "input/" + me.replace(".py", ".txt") LOW_HIGH_MAP = dict( F = 0, L = 0, B = 1, R = 1 ) c...
Python
zaydzuhri_stack_edu_python
class Solution extends object begin function moveZeroes self nums begin string :type nums: List[int] :rtype: None Do not return anything, modify nums in-place instead. comment bubble sort method comment Runtime: 2676 ms, faster than 5.01% of Python online submissions for Move Zeroes. comment Memory Usage: 13.1 MB, less...
class Solution(object): def moveZeroes(self, nums): """ :type nums: List[int] :rtype: None Do not return anything, modify nums in-place instead. """ ## bubble sort method ## Runtime: 2676 ms, faster than 5.01% of Python online submissions for Move Zeroes. ## M...
Python
zaydzuhri_stack_edu_python
function test_token_not_live_data rok_connector_with_secret rok_ds_jwt remove_live_data_mode begin with raises InvalidAuthenticationMethodError begin call get_df rok_ds_jwt end end function
def test_token_not_live_data(rok_connector_with_secret, rok_ds_jwt, remove_live_data_mode): with pytest.raises(InvalidAuthenticationMethodError): rok_connector_with_secret.get_df(rok_ds_jwt)
Python
nomic_cornstack_python_v1
import pika set queueName = string hello comment create connection set connection = call BlockingConnection call ConnectionParameters string localhost comment create channel set channel = call channel comment create queue call queue_declare queue=queueName comment send message to queue call basic_publish exchange=strin...
import pika queueName = 'hello' # create connection connection = pika.BlockingConnection(pika.ConnectionParameters('localhost')) # create channel channel = connection.channel() # create queue channel.queue_declare(queue=queueName) # send message to queue channel.basic_publish(exchange='', routing_key=queueName, ...
Python
zaydzuhri_stack_edu_python
import random function genEmptyBoard begin set board = list for k in range N begin append board list end for i in range N begin for j in range N begin append board at i 0 end end return board end function function selectLength avail_squares start board begin set poss_lengths = list set length = 0 if avail_squares < 9...
import random def genEmptyBoard(): board = [] for k in range(N): board.append([]) for i in range(N): for j in range(N): board[i].append(0) return board def selectLength(avail_squares, start, board): poss_lengths = [] length = 0 if avail_squares < 9: for...
Python
zaydzuhri_stack_edu_python
function test_backwards_100_balance_remains_between_1_and_negative_1 begin from bbst import Bst set tree = call Bst list comprehension x for x in range 100 at slice : : - 1 assert call balance in range - 1 2 end function
def test_backwards_100_balance_remains_between_1_and_negative_1(): from bbst import Bst tree = Bst([x for x in range(100)][::-1]) assert tree.balance() in range(-1, 2)
Python
nomic_cornstack_python_v1
import re import math import collections from itertools import cycle set dict = dict set alphabet = tuple string а string б string в string г string д string е string ж string з string и string й string к string л string м string н string о string п string р string с string т string у string ф string х string ц string...
import re import math import collections from itertools import cycle dict = {} alphabet = ( 'а', 'б', 'в', 'г', 'д', 'е', 'ж', 'з', 'и', 'й', 'к', 'л', 'м', 'н', 'о', 'п', 'р', 'с', 'т', 'у', 'ф', 'х', 'ц', 'ч', 'ш', 'щ', 'ъ', 'ы', 'ь', 'э', 'ю', 'я') #sumletters = 0 letter_ord = 0 def sumabukv(text): ...
Python
zaydzuhri_stack_edu_python
from Stack import Stack function reverse_input stack begin set n = input while n begin call push n try begin set n = input end except any begin break end end while not call is_empty begin print pop stack end end function
from Stack import Stack def reverse_input(stack): n = input() while n: stack.push(n) try: n = input() except: break while not stack.is_empty(): print(stack.pop())
Python
zaydzuhri_stack_edu_python
if decimal a < decimal 2000.0 begin print string Isento end else begin if decimal a > decimal 2000 and decimal a < decimal 3000 begin set x = decimal decimal a - decimal 2000.0 end else if decimal a >= decimal 3000 begin set x = decimal 1000 end if decimal a > decimal 3000 and decimal a < decimal 4500 begin set y = dec...
if float(a) < float(2000.00): print('Isento') else: if float(a)>float(2000) and float(a)<float(3000): x = float(float(a) - float(2000.00)) elif(float(a)>=float(3000)): x = float(1000) if float(a)>float(3000) and float(a)<float(4500): y = float(float(a) - float(3000.00)) elif...
Python
zaydzuhri_stack_edu_python
function _recycle_left_right left right begin try begin set left = call recycle_value left call length_of right end except DataUnrecyclable begin set right = call recycle_value right call length_of left end return tuple left right end function
def _recycle_left_right(left: Any, right: Any) -> Tuple: try: left = recycle_value(left, length_of(right)) except DataUnrecyclable: right = recycle_value(right, length_of(left)) return left, right
Python
nomic_cornstack_python_v1
import unittest from matrix import traverse class TestMatrixTraversal extends TestCase begin function test_3_by_3_matrix self begin set matrix = list list 1 2 3 list 4 5 6 list 7 8 9 assert equal list 1 2 3 6 9 8 7 4 5 call traverse matrix end function function test_4_by_3_matrix self begin set matrix = list list 1 2 3...
import unittest from matrix import traverse class TestMatrixTraversal(unittest.TestCase): def test_3_by_3_matrix(self): matrix = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] self.assertEqual([1, 2, 3, 6, 9, 8, 7, 4, 5], traverse(matrix)) def test_4_by_3_matrix(self): matrix = [[1, 2, 3, 4], [5,...
Python
zaydzuhri_stack_edu_python
function setUp self begin comment Initialize the board set gameboard = call BattleshipBoard tuple 5 5 comment Assign a certain fleet formation set board = array list list 1 1 1 0 0 list 0 0 0 0 1 list 1 0 1 0 1 list 1 0 0 0 0 list 1 0 1 0 1 end function
def setUp(self): self.gameboard = BattleshipBoard((5, 5)) # Initialize the board # Assign a certain fleet formation self.gameboard.board = np.array([[1,1,1,0,0], [0,0,0,0,1], [1,0,1,0,1], ...
Python
nomic_cornstack_python_v1
function tiene_epicrisis historia_id begin return all end function
def tiene_epicrisis(historia_id): return Epicrisis.objects.filter(historia=historia_id).all()
Python
nomic_cornstack_python_v1
function test_education_instance_created_without_required_arguments self begin call create user=user school_name=school_name course_name=course_name start_date=start_date set education = get objects pk=1 assert equal user user string Users don't match. assert equal school_name school_name string School names don't matc...
def test_education_instance_created_without_required_arguments(self): Education.objects.create( user=self.user, school_name=self.school_name, course_name=self.course_name, start_date=self.start_date, ) education = Education.objects.get(pk=1) self.assertEqual( self.user, education.user, "U...
Python
nomic_cornstack_python_v1
import pandas as pd from sklearn.model_selection import train_test_split import models from sklearn.ensemble import RandomForestRegressor set path = string C:\Users\Home\Documents\DANIIL\programming\python\Code\projekts\data_science\models\kursovoj_project\dataset_kurs.csv comment path = r'D:\Daniil\programming\kursovo...
import pandas as pd from sklearn.model_selection import train_test_split import models from sklearn.ensemble import RandomForestRegressor path = r'C:\Users\Home\Documents\DANIIL\programming\python\Code\projekts\data_science\models\kursovoj_project\dataset_kurs.csv' #path = r'D:\Daniil\programming\kursovoj_project\data...
Python
zaydzuhri_stack_edu_python
function source_resource_id self begin return get pulumi self string source_resource_id end function
def source_resource_id(self) -> str: return pulumi.get(self, "source_resource_id")
Python
nomic_cornstack_python_v1
function count self begin return count _obj end function
def count(self): return self._obj.Count()
Python
nomic_cornstack_python_v1
function clear_input begin global sudoku call fill 0 call config state=NORMAL comment Clear the input frame for tuple k v in items ent_dict begin if get v begin call config dict string background string White delete 0 string end end end end function
def clear_input(): global sudoku sudoku.fill(0) st.config(state=tk.NORMAL) #Clear the input frame for k,v in ent_dict.items(): if v.get(): v.config({"background": "White"}) v.delete(0,'end')
Python
nomic_cornstack_python_v1
function _treeToText self result begin return if expression result is not none then join string list comprehension call repr c at slice 1 : - 1 : for c in children else string end function
def _treeToText(self, result): return " ".join([repr(c)[1:-1] for c in result.children]) if result is not None else ""
Python
nomic_cornstack_python_v1
function remove self id begin for entry in entrys begin if entry at string id == id begin remove entrys entry end end end function
def remove(self, id): for entry in self.entrys: if entry['id'] == id: self.entrys.remove(entry)
Python
nomic_cornstack_python_v1
string Created on 2021. 3. 9. @author: PC-25 set a = list append a string 1 append a string 2 insert a length a string 3 print length a print a
''' Created on 2021. 3. 9. @author: PC-25 ''' a = [] a.append("1") a.append("2") a.insert(len(a), "3") print(len(a)) print(a)
Python
zaydzuhri_stack_edu_python
comment !/usr/bin/python import sys import json set log = stdin set adict = dict while true begin set line = read line log if not line begin break end set line = strip line set adict at line = line end comment json.dump(adict,sys.stdout)
#!/usr/bin/python import sys import json log=sys.stdin adict={}; while True: line=log.readline() if not line : break line=line.strip() adict[line]=line #json.dump(adict,sys.stdout)
Python
zaydzuhri_stack_edu_python
function derive_project session_directory corpus_filter session_filter pre_select=1 post_select=0 begin comment Change to the session directory with call change_dir session_directory begin comment Get the parent directory of the session directory set parent_directory = directory name path session_directory comment Chec...
def derive_project( session_directory, corpus_filter, session_filter, pre_select=1, post_select=0 ): # Change to the session directory with change_dir(session_directory): # Get the parent directory of the session directory parent_directory = os.path.dirname(session_directory) # Chec...
Python
nomic_cornstack_python_v1
comment ! /usr/bin/env python3 string ' Title: C. Foe Pairs ' Author: Cheng-Shih, Wong ' Date: 2016/03/26 set tuple n m = map int split input set p = list comprehension integer i for i in split input set q = list 0 * n + 1 set lp = list 0 * n + 1 for i in range n begin set q at p at i = i end for i in range m begin set...
#! /usr/bin/env python3 ''' ' Title: C. Foe Pairs ' Author: Cheng-Shih, Wong ' Date: 2016/03/26 ''' n, m = map(int, input().split()) p = [int(i) for i in input().split()] q = [0]*(n+1) lp = [0]*(n+1) for i in range(n): q[p[i]] = i for i in range(m): u, v = map(int, input().split()) u, v = q[u], q[v] if u > v: u,...
Python
zaydzuhri_stack_edu_python
from display import * from draw import * set s = call new_screen set c = list 0 255 0 function stup p1 p2 begin return tuple p1 at 0 + p2 at 0 p1 at 1 + p2 at 1 end function function recursion_draw p1 p2 p3 c begin if p1 != p2 begin call draw_line p1 at 0 p1 at 1 p2 at 0 p2 at 1 s c call draw_line p2 at 0 p2 at 1 p3 at...
from display import * from draw import * s = new_screen() c = [ 0, 255, 0 ] def stup(p1, p2): return (p1[0] + p2[0], p1[1] + p2[1]) def recursion_draw(p1, p2, p3, c): if (p1 != p2): draw_line(p1[0], p1[1], p2[0], p2[1], s, c) draw_line(p2[0], p2[1], p3[0], p3[1], s, c) draw_line(p1[0]...
Python
zaydzuhri_stack_edu_python
function import_project self cr uid ids context=none begin set analytic_pool = get pool string account.analytic.account set project_pool = get pool string project.project set partner_pool = get pool string res.partner set user_pool = get pool string res.users set task_pool = get pool string project.task set work_pool =...
def import_project(self, cr, uid, ids, context=None): analytic_pool = self.pool.get('account.analytic.account') project_pool = self.pool.get('project.project') partner_pool = self.pool.get('res.partner') user_pool = self.pool.get('res.users') task_pool = self.pool.get('project.ta...
Python
nomic_cornstack_python_v1
function update_frame self key ranges=none element=none begin call _reset_ranges set reused = is instance hmap DynamicMap and overlaid set prev_frame = current_frame if not reused and element is none begin set element = call _get_frame key end else if element is not none begin set current_frame = element set current_ke...
def update_frame(self, key, ranges=None, element=None): self._reset_ranges() reused = isinstance(self.hmap, DynamicMap) and self.overlaid self.prev_frame = self.current_frame if not reused and element is None: element = self._get_frame(key) elif element is not None: ...
Python
nomic_cornstack_python_v1
function create_static_view self elements=none begin set p = package set ident = call get_id View set v = call create_view id=ident mimetype=string text/html add _idgenerator ident if not elements begin notify self string ViewCreate view=v immediate=true return v end if is instance elements at 0 Annotation begin if len...
def create_static_view(self, elements=None): p=self.package ident=p._idgenerator.get_id(View) v=p.create_view(id=ident, mimetype='text/html') p._idgenerator.add(ident) if not elements: self.notify('ViewCreate', view=v, immediate=True) return v if i...
Python
nomic_cornstack_python_v1
import numpy as np import string import random from datetime import datetime from neo4j import GraphDatabase , basic_auth set db = call driver string bolt://localhost auth=call basic_auth string neo4j string neo4j set session = call session function printOptions begin print string Enter 1 to execute query 1 print strin...
import numpy as np import string import random from datetime import datetime from neo4j import GraphDatabase, basic_auth db = GraphDatabase.driver("bolt://localhost", auth=basic_auth("neo4j", "neo4j")) session = db.session() def printOptions(): print("Enter 1 to execute query 1") print("Enter 2 to execute quer...
Python
zaydzuhri_stack_edu_python
from defines import * import comm import time function go ft direction begin if direction != STOP and ft != 0 begin set ser = call comm comment send direction to serial port comment 1182 ticks equals a foot set ticks = ft * 1182 call send string direction sleep 1 call send string integer ticks + string T end end functi...
from defines import * import comm import time def go(ft, direction): if direction != STOP and ft != 0: ser = comm.comm() #send direction to serial port #1182 ticks equals a foot ticks = ft * 1182; ser.send(str(direction)) time.sleep(1) ser.send(str(int(ticks...
Python
zaydzuhri_stack_edu_python
function get_speeds start end begin return map lambda date -> call _api_request date WINDSPEED_API_URL call _date_range start end end function
def get_speeds(start: str, end: str) -> Generator[Dict[str, str], None, None]: return map( lambda date: _api_request(date, WINDSPEED_API_URL), _date_range(start, end) )
Python
nomic_cornstack_python_v1
import ctypes set _sum = call CDLL string libsum.so set argtypes = tuple c_int c_int import wiringpi comment import os comment os.system("export LD_LIBRARY_PATH=/home/pi/Desktop") function our_function begin global _sum set hum = call our_function call c_int 0 call c_int 0 set temp = call our_function call c_int 1 call...
import ctypes _sum = ctypes.CDLL('libsum.so') _sum.our_function.argtypes = (ctypes.c_int,ctypes.c_int) import wiringpi # import os # os.system("export LD_LIBRARY_PATH=/home/pi/Desktop") def our_function(): global _sum hum = _sum.our_function(ctypes.c_int(0), ctypes.c_int(0)) temp = _sum.our_function(ctype...
Python
zaydzuhri_stack_edu_python
function isRotation s1 s2 begin if length s1 != length s2 begin return false end set temp = s1 + s1 if s2 in temp begin return true end return false end function set result = call isRotation string abc string cab print result
def isRotation(s1, s2): if (len(s1) != len(s2)): return False temp = s1 + s1 if (s2 in temp): return True return False result = isRotation('abc', 'cab') print(result)
Python
flytech_python_25k
comment ======================================= comment 이거 문제 이해가 안감 combinations로 왜 안풀림? comment =============+========================= comment A, B 두사람은 서로 무게가 다른 볼링공 comment 볼링공의 총 개수 N from itertools import combinations set n = 5 set m = 3 set data = list 1 3 2 3 2 set resComb = list call combinations data 2 set r...
### ======================================= # 이거 문제 이해가 안감 combinations로 왜 안풀림? ### =============+========================= # A, B 두사람은 서로 무게가 다른 볼링공 # 볼링공의 총 개수 N from itertools import combinations n = 5 m = 3 data = [1, 3, 2, 3, 2] resComb = list(combinations(data, 2)) result = [] for x in resComb: if(x[0] + ...
Python
zaydzuhri_stack_edu_python
function train_neural_network session optimizer keep_probability feature_batch label_batch begin comment Implement run optimizer feed_dict=dict x feature_batch ; y label_batch ; keep_prob keep_probability end function
def train_neural_network(session, optimizer, keep_probability, feature_batch, label_batch): # Implement session.run(optimizer, feed_dict={x: feature_batch, y: label_batch, keep_prob: keep_probability})
Python
nomic_cornstack_python_v1
function _get_ip_unnumbered self unnumbered_type unnumbered_name begin string Get and merge the `ip unnumbered` config from an interface. You should not use this method. You probably want `Interface.ip_unnumbered`. Args: unnumbered_type: XML document with the XML to get the donor type. unnumbered_name: XML document wit...
def _get_ip_unnumbered(self, unnumbered_type, unnumbered_name): """Get and merge the `ip unnumbered` config from an interface. You should not use this method. You probably want `Interface.ip_unnumbered`. Args: unnumbered_type: XML document with the XML to get the donor type...
Python
jtatman_500k
comment from functools import reduce comment Higher order functions that are used as parameters in functions comment map - map a function over a collection ##### comment f(x) = 1+x comment Here, we have: comment Domain (value fed to x): [1, 2] comment Range (output of f(x)): [2, 3] comment map() takes 2 things; It take...
# from functools import reduce # Higher order functions that are used as parameters in functions #### map - map a function over a collection ##### # f(x) = 1+x #Here, we have: #Domain (value fed to x): [1, 2] #Range (output of f(x)): [2, 3] # map() takes 2 things; It takes function as 1st argument ; 2nd thing i...
Python
zaydzuhri_stack_edu_python
comment coding=utf-8 import os import sys from flask import Flask , render_template from flask import escape from flask_sqlalchemy import SQLAlchemy comment init set app = call Flask __name__ comment SQLite URI compatible set WIN = starts with platform string win if WIN begin set prefix = string sqlite:/// end else beg...
# coding=utf-8 import os import sys from flask import Flask, render_template from flask import escape from flask_sqlalchemy import SQLAlchemy # init app = Flask(__name__) # SQLite URI compatible WIN = sys.platform.startswith('win') if WIN: prefix = 'sqlite:///' else: prefix = 'sqlite:////' app.config['SQLAL...
Python
zaydzuhri_stack_edu_python
function saas_package self **kw begin set template_databases = search list return call render string sythil_saas_server.saas_choose_package dict string template_databases template_databases end function
def saas_package(self, **kw): template_databases = request.env['saas.template.database'].search([]) return http.request.render('sythil_saas_server.saas_choose_package', {'template_databases': template_databases})
Python
nomic_cornstack_python_v1
function sort_recommendations recommendations begin set names_by_score = list set score = 0 comment need a list to sort before append the final list set a_list = list while recommendations begin for name_score in recommendations begin if name_score at 1 == score begin append a_list name_score at 0 end else if name_sc...
def sort_recommendations(recommendations): names_by_score = [] score = 0 # need a list to sort before append the final list a_list = [] while recommendations: for name_score in recommendations: if name_score[1] == score: a_list.append(name_score[0]) e...
Python
nomic_cornstack_python_v1
async function test_did_run coresys begin set supervisor_version = call EvaluateSupervisorVersion coresys set should_run = states set should_not_run = list comprehension state for state in CoreState if state not in should_run assert length should_run != 0 assert length should_not_run != 0 with patch string supervisor.r...
async def test_did_run(coresys: CoreSys): supervisor_version = EvaluateSupervisorVersion(coresys) should_run = supervisor_version.states should_not_run = [state for state in CoreState if state not in should_run] assert len(should_run) != 0 assert len(should_not_run) != 0 with patch( "su...
Python
nomic_cornstack_python_v1
from copy import deepcopy from abc import abstractmethod from math import inf from typing import Dict , Set , Tuple from collections import defaultdict string CSP class implemented to solve colorized sudoku. set totalAssignments = list class CSP begin function __init__ self variables domains begin set variables = vari...
from copy import deepcopy from abc import abstractmethod from math import inf from typing import Dict, Set, Tuple from collections import defaultdict ''' CSP class implemented to solve colorized sudoku. ''' totalAssignments = [] class CSP: def __init__(self, variables: Set[Tuple], domains: Dict[Tuple, Dict]):...
Python
zaydzuhri_stack_edu_python
function cx_voltage_decay self begin clamp self set val = as type call numpy int if length val == 1 begin return val at 0 end return val end function
def cx_voltage_decay(self): self.clamp() val = quantize(self.voltage_decay).cpu().data.numpy().astype(int) if len(val) == 1: return val[0] return val
Python
nomic_cornstack_python_v1
comment ============================================================================= comment # -*- coding: utf-8 -*- comment """ comment Created on Thu Sep 27 00:11:18 2018 comment @author: Nadim comment """ comment min_all=np.min(dt1_b) comment print(min_all) comment max_all=np.max(dt1_b) comment dt1_b_norm=(dt1_b-mi...
# ============================================================================= # # -*- coding: utf-8 -*- # """ # Created on Thu Sep 27 00:11:18 2018 # # @author: Nadim # """ # # min_all=np.min(dt1_b) # print(min_all) # max_all=np.max(dt1_b) # dt1_b_norm=(dt1_b-min_all)/(max_all-min_all) # dt1_b_norm=dt1_...
Python
zaydzuhri_stack_edu_python
function apply_over_axes func a axes begin set val = call asarray a set N = ndim if ndim == 0 begin set axes = tuple axes end for axis in axes begin if axis < 0 begin set axis = N + axis end set args = tuple val axis set res = call func *args if ndim == ndim begin set val = res end else begin set res = call expand_dims...
def apply_over_axes(func, a, axes): val = asarray(a) N = a.ndim if array(axes).ndim == 0: axes = (axes,) for axis in axes: if axis < 0: axis = N + axis args = (val, axis) res = func(*args) if res.ndim == val.ndim: val = res else: ...
Python
nomic_cornstack_python_v1
function load_input self begin with open join path MYDIR string input.json as json_data begin set d = load json json_data return d at string subreddits end end function
def load_input(self): with open(os.path.join(config.MYDIR, "input.json")) as json_data: d = json.load(json_data) return d["subreddits"]
Python
nomic_cornstack_python_v1
if A == B begin print string EQUAL end else if length A > length B begin print string GREATER end else if length B > length A begin print string LESS end else begin for i in range length A begin set a = integer A at i set b = integer B at i if a > b begin print string GREATER break end else if b > a begin print string ...
if A == B: print('EQUAL') elif len(A) > len(B): print('GREATER') elif len(B) > len(A): print('LESS') else: for i in range(len(A)): a = int(A[i]) b = int(B[i]) if a > b: print('GREATER') break elif b > a: print('LESS') break
Python
zaydzuhri_stack_edu_python
function run self begin set window_args = dictionary autosize=false height=200 width=200 x_pos=0 y_pos=0 with call window string Drawing keyword window_args begin call add_drawing name width=90 height=150 end with call window string command##window autosize=true y_pos=200 x_pos=0 begin call add_input_text name=string c...
def run(self): window_args = dict( autosize=False, height=200, width=200, x_pos=0, y_pos=0, ) with s.window("Drawing", **window_args): c.add_drawing( self.name, width=90, height=150 ) wi...
Python
nomic_cornstack_python_v1
function move self new_location begin set current_location = new_location end function
def move(self, new_location): self.current_location = new_location
Python
nomic_cornstack_python_v1
function merge left_arr right_arr main_arr begin set left_length = length left_arr set right_length = length right_arr set i = 0 set j = 0 set k = 0 while i < left_length and j < right_length begin if left_arr at i <= right_arr at j begin set main_arr at k = left_arr at i set i = i + 1 end else begin set main_arr at k ...
def merge(left_arr, right_arr, main_arr): left_length = len(left_arr) right_length = len(right_arr) i = 0 j = 0 k = 0 while i < left_length and j < right_length: if left_arr[i] <= right_arr[j]: main_arr[k] = left_arr[i] i += 1 else: main_arr[k]...
Python
zaydzuhri_stack_edu_python
function slave_master_structure V slave_master_dict subspace_slave=none subspace_master=none begin set slaves = list set masters = list set coeffs = list set offsets = list set local_min = local_range at 0 * block_size if subspace_slave is not none begin set Vsub_slave = call collapse end if subspace_master is not ...
def slave_master_structure(V: function.FunctionSpace, slave_master_dict: typing.Dict[types.FunctionType, typing.Dict[ types.FunctionType, float]], subspace_slave=None, ...
Python
nomic_cornstack_python_v1
import math import threading comment Function to check if a number is prime function is_prime n begin if n < 2 begin return false end if n == 2 begin return true end if n % 2 == 0 begin return false end for i in range 3 integer square root n + 1 2 begin if n % i == 0 begin return false end end return true end function ...
import math import threading # Function to check if a number is prime def is_prime(n): if n < 2: return False if n == 2: return True if n % 2 == 0: return False for i in range(3, int(math.sqrt(n)) + 1, 2): if n % i == 0: return False return True # Functi...
Python
greatdarklord_python_dataset
import argparse , numpy as np set parser = call ArgumentParser call add_argument string --inFile type=str default=string ./day6Input.txt help=string file contianing input key set args = call parse_args with open inFile string r as f begin set commands = list comprehension strip x for x in read lines f end set grid = ze...
import argparse, numpy as np parser = argparse.ArgumentParser() parser.add_argument("--inFile", type=str, default="./day6Input.txt", help="file contianing input key") args = parser.parse_args() with open(args.inFile, "r") as f: commands = [x.strip() for x in f.readlines()] grid = np.zeros((1000,1000), dtype=np.i...
Python
zaydzuhri_stack_edu_python
import urllib import json function parse_flickr photo_id begin set fp = url open string http://api.flickr.com/services/rest/ + string ?method=flickr.photos.getSizes + string &api_key=72b8c51a1f09f08bc9332fcf5ee65f03 + string &photo_id= + photo_id + string &format=json + string &nojsoncallback=1 set repl_str = read fp s...
import urllib import json def parse_flickr(photo_id): fp = urllib.urlopen( "http://api.flickr.com/services/rest/" + "?method=flickr.photos.getSizes" + "&api_key=72b8c51a1f09f08bc9332fcf5ee65f03" + "&photo_id=" + photo_id + "&format=json" + "&nojsoncallback=1"); repl_str = fp.read() repl_j...
Python
zaydzuhri_stack_edu_python
function _convert_raw_byte_data_to_dataframe raw_byte_data nomad_ids=none begin comment Each record contains 22 integers (4 byte). The schema is: set schema = string ( 1) RA at 2000.0 in integer 0.001 arcsec ( 2) SPD at 2000.0 in integer 0.001 arcsec ( 3) std. dev. of RA*COS(dec) in integer 0.001 arcsec at central epoc...
def _convert_raw_byte_data_to_dataframe(raw_byte_data, nomad_ids=None): # Each record contains 22 integers (4 byte). The schema is: schema = """ ( 1) RA at 2000.0 in integer 0.001 arcsec ( 2) SPD at 2000.0 in integer 0.001 arcsec ( 3) std. dev. of RA*COS(dec) in integer 0.001 arcsec at ce...
Python
nomic_cornstack_python_v1
import sys from collections import deque function conquer arr begin set L = length arr set A = L * L set white = 0 set blue = 0 if A == 1 begin return arr at 0 at 0 end for i in range L begin for j in range L begin if arr at i at j == 0 begin set white = white + 1 end else begin set blue = blue + 1 end end end if white...
import sys from collections import deque def conquer(arr): L = len(arr) A = L * L white = 0 blue = 0 if A==1: return arr[0][0] for i in range(L): for j in range(L): if arr[i][j] == 0: white += 1 else: blue += 1 if white==A: return 0 elif blue==A: ...
Python
zaydzuhri_stack_edu_python
function create_detr num_classes num_queries backbone begin set model = call DETR num_classes num_queries backbone return model end function
def create_detr(num_classes: int, num_queries: int, backbone: str): model = DETR(num_classes, num_queries, backbone) return model
Python
nomic_cornstack_python_v1
import numpy as np import pandas as pd from sklearn.linear_model import LogisticRegression class Utils begin function __init__ self begin pass end function function Ols self y x begin comment we times 10 on both x and y set mx = call asmatrix x * 10 comment to avoid singular error, comment which is mainly caused by com...
import numpy as np import pandas as pd from sklearn.linear_model import LogisticRegression class Utils: def __init__(self): pass def Ols(self, y, x): mx = np.asmatrix(x)*10 # we times 10 on both x and y # to avoid singular error, ...
Python
zaydzuhri_stack_edu_python
class InsufficientBalanceError extends Exception begin function __init__ self balance amount begin set balance = balance set amount = amount end function function difference self begin return amount - balance end function function __str__ self begin return string Insufficient balance [ { balance } ] for a withdraw of [...
class InsufficientBalanceError(Exception): def __init__(self, balance, amount): self.balance = balance self.amount = amount def difference(self): return self.amount - self.balance def __str__(self): return f"Insufficient balance [{self.balance}] for a withdraw of [{self.amo...
Python
zaydzuhri_stack_edu_python
import pandas as pd import re from sklearn.preprocessing import MultiLabelBinarizer , KBinsDiscretizer from sklearn.impute import SimpleImputer import ast import numpy as np class preprocessor begin string preprocessor Class 2 public methods, transform and fit_transform function __init__ self number_of_bins=8 number_of...
import pandas as pd import re from sklearn.preprocessing import MultiLabelBinarizer, KBinsDiscretizer from sklearn.impute import SimpleImputer import ast import numpy as np class preprocessor: """ preprocessor Class 2 public methods, transform and fit_transform """ def __init__(self, number_of_bins=8, number_of...
Python
zaydzuhri_stack_edu_python
function get_average_valid_marks begin set flag = true set marks = list set result = 0 while flag begin set user_input = input string Enter a mark between 0 and 100, or STOP to exit: comment 如果用户输入 stop,我们把输入的转换成大写,然后跟 ‘STOP’比较,如果是 stop 就设置 flag 为 False,这样就会退出 while 循环 if upper user_input == string STOP begin set flag...
def get_average_valid_marks(): flag = True marks = [] result = 0 while flag: user_input = input("Enter a mark between 0 and 100, or STOP to exit: ") # 如果用户输入 stop,我们把输入的转换成大写,然后跟 ‘STOP’比较,如果是 stop 就设置 flag 为 False,这样就会退出 while 循环 if user_input.upper() == 'STOP': flag ...
Python
zaydzuhri_stack_edu_python
function process_sample self sample begin comment Trim the sample data call trim threshold return sample end function
def process_sample(self, sample): # Trim the sample data sample.trim(self.threshold) return sample
Python
nomic_cornstack_python_v1
function useTool tool arguments=none begin if arguments is none begin set arguments = list none end if tool is not none and tool in keys TASK_OPTIONS begin try begin comment print(str("launching: " + tool)) call arguments end except Exception begin print string string WARNING - An error occured while + string handling ...
def useTool(tool, arguments=None): if arguments is None: arguments = [None] if (tool is not None) and (tool in TASK_OPTIONS.keys()): try: # print(str("launching: " + tool)) TASK_OPTIONS[tool](arguments) except Exception: print(str( "WARNING - An error occured while" + "handling the shell. Casca...
Python
nomic_cornstack_python_v1
function y self begin return self at tuple slice : : 1 end function
def y(self): return self[:, 1]
Python
nomic_cornstack_python_v1
string Created on Oct 12, 2016 @author: mwittie import network_3 as network import link_3 as link import threading from time import sleep from rprint import print comment configuration parameters comment 0 means unlimited set router_queue_size = 0 comment give the network sufficient time to transfer all packets before ...
''' Created on Oct 12, 2016 @author: mwittie ''' import network_3 as network import link_3 as link import threading from time import sleep from rprint import print ## configuration parameters router_queue_size = 0 # 0 means unlimited simulation_time = 10 # give the network sufficient time to transf...
Python
zaydzuhri_stack_edu_python
function get_angle begin set tuple x y z = call getValues return call angle_from_x end function
def get_angle(): x, y, z = COMPASS.getValues() return Vector(x, z).angle_from_x()
Python
nomic_cornstack_python_v1
function stop self begin call StopTask call StopTask end function
def stop(self): self.initTH.StopTask() self.pmpTH.StopTask()
Python
nomic_cornstack_python_v1
async function test_reauth_failed hass auth_error begin set entry = call MockConfigEntry domain=DOMAIN data=DEMO_USER_INPUT call add_to_hass hass set result = await call async_init DOMAIN context=dict string source SOURCE_REAUTH ; string entry_id entry_id data=DEMO_USER_INPUT assert result at string type == string form...
async def test_reauth_failed(hass: HomeAssistant, auth_error) -> None: entry = MockConfigEntry( domain=DOMAIN, data=DEMO_USER_INPUT, ) entry.add_to_hass(hass) result = await hass.config_entries.flow.async_init( DOMAIN, context={ "source": config_entries.SOURC...
Python
nomic_cornstack_python_v1
function getTimeSinceLastVsync self begin set fn = getTimeSinceLastVsync set secondsSinceLastVsync = call c_float set frameCounter = call c_uint64 set result = call fn call byref secondsSinceLastVsync call byref frameCounter return tuple result value value end function
def getTimeSinceLastVsync(self): fn = self.function_table.getTimeSinceLastVsync secondsSinceLastVsync = c_float() frameCounter = c_uint64() result = fn(byref(secondsSinceLastVsync), byref(frameCounter)) return result, secondsSinceLastVsync.value, frameCounter.value
Python
nomic_cornstack_python_v1
function check self control begin string Since the XOR constraint above handles only constraints with at least two literals, here the other two cases are handled. Empty conflicting constraints result in top-level conflicts and unit constraints will be propagated on the top-level. if not __sat begin call add_clause list...
def check(self, control): """ Since the XOR constraint above handles only constraints with at least two literals, here the other two cases are handled. Empty conflicting constraints result in top-level conflicts and unit constraints will be propagated on the top-level. "...
Python
nomic_cornstack_python_v1
function get_reduction_method reduction_type begin set reduction_methods = dict string mean lambda x -> mean x ; string sum lambda x -> sum ; string none lambda x -> x if reduction_type not in reduction_methods begin raise call KeyError string Invalid reduction type. end return reduction_methods at reduction_type end f...
def get_reduction_method(reduction_type: str ) -> Callable[[Tensor], Union[Tensor, float]]: reduction_methods = { 'mean': lambda x: x.mean(), 'sum': lambda x: x.sum(), 'none': lambda x: x } if reduction_type not in reduction_methods: raise KeyError(...
Python
nomic_cornstack_python_v1
function add_tokens self sample begin comment Text set inputs = call encode_plus sample at string text add_special_tokens=true max_length=_max_text_length padding=string max_length truncation=true return_attention_mask=true comment TODO padding here or in model (together with item_glove)? comment truncate to 512 (added...
def add_tokens(self, sample): # Text inputs = self._tokenizer.encode_plus(sample['text'], add_special_tokens=True, max_length=self._max_text_length, padding='max_length', # TODO padding here or in model (together with item_glove)? truncatio...
Python
nomic_cornstack_python_v1
function worst_rating self begin return _worst_rating end function
def worst_rating(self) -> str: return self._worst_rating
Python
nomic_cornstack_python_v1
import random import string function generate_password length begin set chars = ascii_letters + digits + string $#& return join string generator expression random choice chars for _ in range length end function set length = 8 set password = call generate_password length print password
import random import string def generate_password(length): chars = string.ascii_letters + string.digits + '$#&' return ''.join(random.choice(chars) for _ in range(length)) length = 8 password = generate_password(length) print(password)
Python
flytech_python_25k
import numpy as np import math from matplotlib import pyplot as plt from scipy.stats import norm from Ploter import config_plot class Robot begin string the robot class, we will use this to describe a robot function __init__ self world_size=100 begin string creating a robot object :param world_size: the world size in p...
import numpy as np import math from matplotlib import pyplot as plt from scipy.stats import norm from Ploter import config_plot class Robot: """ the robot class, we will use this to describe a robot """ def __init__(self, world_size=100): """ creating a robot object :param worl...
Python
zaydzuhri_stack_edu_python
import os import unittest import matplotlib as mpl call use string Agg import matplotlib.pyplot as plt import numpy as np import random from bhtsne import tsne from sklearn.cluster import MeanShift , estimate_bandwidth from sklearn.manifold import TSNE from sklearn.datasets import load_iris set PLOTS_DIR = directory na...
import os import unittest import matplotlib as mpl mpl.use('Agg') import matplotlib.pyplot as plt import numpy as np import random from bhtsne import tsne from sklearn.cluster import MeanShift, estimate_bandwidth from sklearn.manifold import TSNE from sklearn.datasets import load_iris PLOTS_DIR = os.path.dirname(os.pa...
Python
zaydzuhri_stack_edu_python
string Program in Python to print numbers in a range (m,n) without using any loops. function printNumbers start end begin if start == end begin return end end else if start > end begin print string Incorrect range end if start < end begin print start return call printNumbers start + 1 end end end function set result = ...
""" Program in Python to print numbers in a range (m,n) without using any loops. """ def printNumbers(start,end): if start == end: return end elif start > end: print("Incorrect range") if start < end: print(start) return printNumbers(start+1, end) result = printNumbers(1,10) print(result)
Python
zaydzuhri_stack_edu_python
function filter_lockdown self is_lockdown=false begin return if expression is_lockdown then query _obj string Lockdown == 1 else query _obj string Lockdown == 0 end function
def filter_lockdown(self, is_lockdown=False): return ( self._obj.query("Lockdown == 1") if is_lockdown else self._obj.query("Lockdown == 0") )
Python
nomic_cornstack_python_v1
import pandas as pd import numpy as np comment import BorderlineSMOTE from imblearn.over_sampling import BorderlineSMOTE from pandas import DataFrame comment input data file from sklearn.utils import compute_class_weight set df = read csv string F:\undersampling.csv header=none sep=string , names=list string fault stri...
import pandas as pd import numpy as np from imblearn.over_sampling import BorderlineSMOTE # import BorderlineSMOTE from pandas import DataFrame # input data file from sklearn.utils import compute_class_weight df = pd.read_csv('F:\\undersampling.csv', header=None, sep=',', names=['fault', ...
Python
zaydzuhri_stack_edu_python