code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
import unittest
import sys
append path string ..
comment TODO change that to something else
from rounds import *
class Test_Methods extends TestCase
begin
comment Testing adding a preference Happy path
function test_whenDrinkNameValid_ShouldReturnTheSameName self
begin
comment Arrange
set newRound = round string Christ... | import unittest
import sys
sys.path.append("..")
from rounds import * #TODO change that to something else
class Test_Methods(unittest.TestCase):
#Testing adding a preference Happy path
def test_whenDrinkNameValid_ShouldReturnTheSameName(self):
# Arrange
newRound = Round("Christos")
n... | Python | zaydzuhri_stack_edu_python |
from sarki import *
print string ********************************************************* Şarkı Programına Hoşgeldiniz... İşlemler; 1. Şarkı Göster 2. Şarkı Sorgula 3. Şarkı Ekle 4. Şarkı Sil Çıkmak için 'q' ya basınız :) *********************************************************
set sarki = call Kitaplık
while true
be... | from sarki import *
print("""*********************************************************
Şarkı Programına Hoşgeldiniz...
İşlemler;
1. Şarkı Göster
2. Şarkı Sorgula
3. Şarkı Ekle
4. Şarkı Sil
Çıkmak için 'q' ya basınız :)
*********************************************************""")
sarki = Kitaplık()
while Tru... | Python | zaydzuhri_stack_edu_python |
import math
while true
begin
try
begin
set number = decimal input string Введите число =
end
except ValueError
begin
comment Проверка на правельность ввода данных#
print string Повелитель вы ввели неверный символ попробуйте еще раз =)
continue
end
try
begin
set number1 = decimal input string Введите число =
end
except ... | import math
while True:
try:
number = float(input('Введите число = '))
except ValueError:
print('Повелитель вы ввели неверный символ попробуйте еще раз =)') #Проверка на правельность ввода данных#
continue
try:
number1 = float(input('Введите число = '))
except Value... | Python | zaydzuhri_stack_edu_python |
function check_companion_count context min_count=0
begin
set json_data = call get_json_data context
set path = string result/0/recommendation/companion
set companions = call get_value_using_path json_data path
assert length companions > integer min_count
end function | def check_companion_count(context, min_count=0):
json_data = get_json_data(context)
path = "result/0/recommendation/companion"
companions = get_value_using_path(json_data, path)
assert len(companions) > int(min_count) | Python | nomic_cornstack_python_v1 |
function sum_range start end
begin
set sum = 0
for i in range start end + 1
begin
set sum = sum + i
end
return sum
end function
comment Driver Code
set start = 2
set end = 5
print call sum_range start end
comment Result: 14 | def sum_range(start, end):
sum = 0
for i in range(start, end+1):
sum += i
return sum
# Driver Code
start = 2
end = 5
print(sum_range(start, end))
# Result: 14
| Python | flytech_python_25k |
function device self **kwargs
begin
return call api_request call _get_method_fullname string device kwargs
end function | def device(self, **kwargs):
return self.api_request(self._get_method_fullname("device"), kwargs) | Python | nomic_cornstack_python_v1 |
function test_handshakeAlive self
begin
set remainData = call handle_handshake string salive
assert equal remainData string
assert equal state string challenge
assert equal call value string true
end function | def test_handshakeAlive(self):
remainData = self.proto.handle_handshake("\x00\x06salive")
self.assertEqual(remainData, "")
self.assertEqual(self.proto.state, "challenge")
self.assertEqual(self.transport.value(), "\x00\x04true") | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
comment @Time : 01/03/2017 9:55 AM
comment @Author : Shuqi.qin
comment @File : clusters.py
comment @Software: PyCharm Community Edition
from math import sqrt
from PIL import Image , ImageDraw
function readfile filename
begin
set lines = list comprehension line ... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 01/03/2017 9:55 AM
# @Author : Shuqi.qin
# @File : clusters.py
# @Software: PyCharm Community Edition
from math import sqrt
from PIL import Image, ImageDraw
def readfile(filename):
lines = [line for line in file(filename)]
# First line is the col... | Python | zaydzuhri_stack_edu_python |
import sys
set input = readline
set N = integer input
set ans = 0
for n in range 1 N + 1
begin
set ans = ans + 1 / n
end
print ans | import sys
input = sys.stdin.readline
N = int(input())
ans = 0
for n in range(1, N+1):
ans += 1/n
print(ans) | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
import sys
from cclib.parser import ccopen
import logging
function spectra etens etoscs low=0.5 high=10.0 resolution=0.01 smear=0.04
begin
string Return arrays of the energies and intensities of a Lorentzian-blurred spectrum
set maxSlices = integer high - low / resolution + 1
set peaks = length... | #!/usr/bin/python
import sys
from cclib.parser import ccopen
import logging
def spectra(etens, etoscs, low = 0.5, high = 10.0, resolution = 0.01, smear = 0.04):
"""Return arrays of the energies and intensities of a Lorentzian-blurred spectrum"""
maxSlices = int((high - low) / resolution) + 1
peaks = len(... | Python | zaydzuhri_stack_edu_python |
function filter_strings lst n
begin
set filtered_lst = list
for string in lst
begin
if any generator expression is lower char for char in string and any generator expression is upper char for char in string and length string >= n
begin
append filtered_lst string
end
end
return filtered_lst
end function
set strings = l... | def filter_strings(lst, n):
filtered_lst = []
for string in lst:
if any(char.islower() for char in string) and any(char.isupper() for char in string) and len(string) >= n:
filtered_lst.append(string)
return filtered_lst
strings = ["Hello", "WORLD", "Hello World", "123", "Abc123"]
filte... | Python | jtatman_500k |
import pandas as pd
from datetime import datetime
from pandas import Series
from matplotlib import pyplot
import matplotlib.pyplot as plt
from math import sqrt
import numpy as np
comment Extracting data into pandas Dataframes.
set inventory_positions = call from_csv string files/InventoryPosition.csv
set products = cal... | import pandas as pd
from datetime import datetime
from pandas import Series
from matplotlib import pyplot
import matplotlib.pyplot as plt
from math import sqrt
import numpy as np
#Extracting data into pandas Dataframes.
inventory_positions = pd.DataFrame.from_csv("files/InventoryPosition.csv")
products = pd.DataFrame.... | Python | zaydzuhri_stack_edu_python |
function attention_requested self message
begin
pass
end function | def attention_requested(self, message):
pass | Python | nomic_cornstack_python_v1 |
from django.test import TestCase
from django.contrib.auth import get_user_model
from django.urls import reverse
from rest_framework.test import APIClient
from rest_framework import status
set CREATE_USER_URL = reverse string user:create
set TOKEN_URL = reverse string user:token
set ME_URL = reverse string user:me
set U... | from django.test import TestCase
from django.contrib.auth import get_user_model
from django.urls import reverse
from rest_framework.test import APIClient
from rest_framework import status
CREATE_USER_URL = reverse('user:create')
TOKEN_URL = reverse('user:token')
ME_URL = reverse('user:me')
USER_MODEL = get_user_mode... | Python | zaydzuhri_stack_edu_python |
function resolve_incident_commander_email db_session reporter_email incident_type incident_name incident_title incident_description page_commander
begin
set commander_service = commander_service
set p = call get_active db_session=db_session plugin_type=string oncall
comment page for high priority incidents
comment we c... | def resolve_incident_commander_email(
db_session: SessionLocal,
reporter_email: str,
incident_type: str,
incident_name: str,
incident_title: str,
incident_description: str,
page_commander: bool,
):
commander_service = incident_type_service.get_by_name(
db_session=db_session, name... | Python | nomic_cornstack_python_v1 |
for i in range n
begin
if d % a at i != 0
begin
set ans = ans + d // a at i + 1
end
else
begin
set ans = ans + d // a at i
end
end
print ans + x | for i in range(n):
if d % a[i] != 0:
ans += d // a[i] + 1
else:
ans += d // a[i]
print(ans+x)
| Python | zaydzuhri_stack_edu_python |
function create_database self instance **attrs
begin
set instance = call _get_resource Instance instance
return call _create Database instance_id=id keyword attrs
end function | def create_database(self, instance, **attrs):
instance = self._get_resource(_instance.Instance, instance)
return self._create(
_database.Database, instance_id=instance.id, **attrs
) | Python | nomic_cornstack_python_v1 |
from typing import List
from collections import deque
class Solution
begin
function tribonacci self n
begin
set init = list 0 1 1
if n < 4
begin
return init at n - 1
end
set q = deque
extend q init
set s = 2
while n > 3
begin
append q s
set s = s + s
set s = s - call popleft
set n = n - 1
end
return s % 2 ^ 31
end func... | from typing import List
from collections import deque
class Solution:
def tribonacci(self, n: int) -> int:
init = [0,1,1]
if n < 4:
return init[n-1]
q = deque()
q.extend(init)
s = 2
while n > 3:
q.append(s)
s += s
s -= ... | Python | zaydzuhri_stack_edu_python |
function use_bump self yes=true
begin
set opts at string bump = yes
end function | def use_bump(self, yes=True):
self.opts['bump'] = yes | Python | nomic_cornstack_python_v1 |
function get_combined_model self
begin
set internal_model = call _check_internal_model call _get_internal_model
if is instance internal_model Iterable
begin
comment This function needs to return a single instance of cuml.Base,
comment even if the class is just a composite.
raise call ValueError string Expected a single... | def get_combined_model(self):
internal_model = self._check_internal_model(self._get_internal_model())
if isinstance(self.internal_model, Iterable):
# This function needs to return a single instance of cuml.Base,
# even if the class is just a composite.
raise ValueEr... | Python | nomic_cornstack_python_v1 |
comment %load q03_xgboost/build.py
comment Default imports
from sklearn.model_selection import train_test_split
from xgboost import XGBClassifier
import pandas as pd
from sklearn.metrics import accuracy_score
import numpy as np
comment load data
set dataset = read csv string data/loan_clean_data.csv
comment split data ... | # %load q03_xgboost/build.py
# Default imports
from sklearn.model_selection import train_test_split
from xgboost import XGBClassifier
import pandas as pd
from sklearn.metrics import accuracy_score
import numpy as np
# load data
dataset = pd.read_csv('data/loan_clean_data.csv')
# split data into X and y
X = dataset.iloc... | Python | zaydzuhri_stack_edu_python |
function chiral_tag atom
begin
return call GetChiralTag
end function | def chiral_tag(atom: Atom) -> ChiralType:
return atom.GetChiralTag() | Python | nomic_cornstack_python_v1 |
import tweepy
import csv
from textblob import TextBlob
set consumer_key = string BDMHBweQzZwimb1mN1C05gYsp
set consumer_secret = string 4A3ryMWFIKvC2TYomOUppNNvAyZPrJAApLcLdQhAietfPwEEYE
set access_token = string 863173256-8oym2WsCQb8V2XWJZp3CPBNfpiVxLrmfjNAjuBBE
set access_token_secret = string X3fYTmoRevFv6R6x8OcN7Nd... | import tweepy
import csv
from textblob import TextBlob
consumer_key = 'BDMHBweQzZwimb1mN1C05gYsp'
consumer_secret = '4A3ryMWFIKvC2TYomOUppNNvAyZPrJAApLcLdQhAietfPwEEYE'
access_token = '863173256-8oym2WsCQb8V2XWJZp3CPBNfpiVxLrmfjNAjuBBE'
access_token_secret = 'X3fYTmoRevFv6R6x8OcN7NdNwhpWZ3cEK49doIHIdhVC7'
... | Python | zaydzuhri_stack_edu_python |
function runtime_version self
begin
return get pulumi self string runtime_version
end function | def runtime_version(self) -> Optional[str]:
return pulumi.get(self, "runtime_version") | Python | nomic_cornstack_python_v1 |
function create_from_reflections cls params reflections crystal beam detector goniometer=none scan=none profile=none
begin
from dials.algorithms.profile_model.gaussian_rs.calculator import ProfileModelCalculator , ScanVaryingProfileModelCalculator
comment Check the number of spots
if not length reflections >= overall
b... | def create_from_reflections(
cls,
params,
reflections,
crystal,
beam,
detector,
goniometer=None,
scan=None,
profile=None,
):
from dials.algorithms.profile_model.gaussian_rs.calculator import (
ProfileModelCalculator,
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment This node recieves /scan messages from the Lidar on the turtlebot,
comment and publishes the minimum overall and individual wedge scans
comment (corresponding to the robot's front, front left and right,
comment side left and right, and back left and right).
comment It computes the w... | #!/usr/bin/env python
#This node recieves /scan messages from the Lidar on the turtlebot,
#and publishes the minimum overall and individual wedge scans
#(corresponding to the robot's front, front left and right,
#side left and right, and back left and right).
#It computes the wedge scans via python slicing.
import ro... | Python | zaydzuhri_stack_edu_python |
set nnn = integer input
set k = 1
set n = nnn // 10 ^ k % 10
print n | nnn = int(input())
k = 1
n = (nnn // 10 ** k) % 10
print(n)
| Python | zaydzuhri_stack_edu_python |
function checkio number
begin
set FiBu = string Fizz Buzz
set Fi = string Fizz
set Bu = string Buzz
if number <= 1000
begin
if number % 3 == 0 and number % 5 == 0
begin
print string Fizz Buzz
return string FiBu
end
if number % 3 == 0
begin
print string Fizz
return string Fi
end
if number % 5 == 0
begin
print string Buz... | def checkio(number: int) -> str:
FiBu = 'Fizz Buzz'
Fi = 'Fizz'
Bu = 'Buzz'
if number <= 1000:
if number%3 == 0 and number%5 == 0:
print('Fizz Buzz')
return str(FiBu)
if number%3 == 0:
print('Fizz')
return str(Fi)
if num... | Python | zaydzuhri_stack_edu_python |
function area self
begin
return _size * _size
end function | def area(self):
return self._size * self._size | Python | nomic_cornstack_python_v1 |
function E11 self
begin
return _E11
end function | def E11(self):
return self._E11 | Python | nomic_cornstack_python_v1 |
from Request import Request
set request = call Request string NAME:(!продажи or !sales)
comment .json()
set response = call get_response
set a = list
for item in json response at string items
begin
append a string продажи in lower item at string name or string sales in lower item at string name
end
print status_code | from Request import Request
request = Request('NAME:(!продажи or !sales)')
response = request.get_response()#.json()
a = []
for item in response.json()['items']:
a.append('продажи' in item['name'].lower() or 'sales' in item['name'].lower())
print(response.status_code) | Python | zaydzuhri_stack_edu_python |
from sklearn.cluster import AgglomerativeClustering , KMeans
from sklearn.metrics import silhouette_score
from sklearn.decomposition import PCA
import pandas as pd
import plotly.express as px
import plotly.io as pio
import tempfile
set algs = dict 0 KMeans ; 1 AgglomerativeClustering
comment Clustering
function cluster... | from sklearn.cluster import AgglomerativeClustering, KMeans
from sklearn.metrics import silhouette_score
from sklearn.decomposition import PCA
import pandas as pd
import plotly.express as px
import plotly.io as pio
import tempfile
algs = {
0: KMeans,
1: AgglomerativeClustering
}
#Clustering
d... | Python | zaydzuhri_stack_edu_python |
import numpy as np
from detection_metrics.ap_accumulator import APAccumulator
class MAP
begin
function __init__ self n_class pr_samples=11 overlap_threshold=0.5
begin
string Running computation of average precision of n_class in a bounding box + classification task :param n_class: quantity of class :param pr_samples: q... | import numpy as np
from detection_metrics.ap_accumulator import APAccumulator
class MAP:
def __init__(self, n_class, pr_samples=11, overlap_threshold=0.5):
"""
Running computation of average precision of n_class in a bounding box + classification task
:param n_class: quantity o... | Python | zaydzuhri_stack_edu_python |
import gym
import math
import time
import random
import numpy as np
import pybullet
import pybulletgym
import pybullet_data
import matplotlib.pyplot as plt
from dqn_class import DQNAlgoAgent
from vanilla_q import VanillaQAlgoAgent
from fitted_q import FittedQAlgoAgent
from sarsa import SarsaAlgoAgent
comment env_var_na... | import gym
import math
import time
import random
import numpy as np
import pybullet
import pybulletgym
import pybullet_data
import matplotlib.pyplot as plt
from dqn_class import DQNAlgoAgent
from vanilla_q import VanillaQAlgoAgent
from fitted_q import FittedQAlgoAgent
from sarsa import SarsaAlgoAgent
... | Python | zaydzuhri_stack_edu_python |
from prac_06.guitar import Guitar
function main
begin
set name = string Gibson L-5 CES
set year = 1922
set cost = 16035.4
set guitar = call Guitar name year cost
print guitar
print call get_age
print call is_vintage
print format string {} get_age() - Expected {}. Got {} name 96 call get_age
end function
call main | from prac_06.guitar import Guitar
def main():
name = "Gibson L-5 CES"
year = 1922
cost = 16035.40
guitar = Guitar(name, year, cost)
print(guitar)
print(guitar.get_age())
print(guitar.is_vintage())
print("{} get_age() - Expected {}. Got {}".format(guitar.name, 96,
... | Python | zaydzuhri_stack_edu_python |
set tuple A B X Y = map int split input
set P = X - A
set Q = Y - B
print string R * P + string U * Q + string L * P + string D * Q + string L + string U * Q + 1 + string R * P + 1 + string D + string R + string D * Q + 1 + string L * P + 1 + string U | A, B, X, Y = map(int, input().split())
P = X-A
Q = Y-B
print("R"*P+"U"*Q+"L"*P+"D"*Q+"L"+"U"*(Q+1)+"R"*(P+1)+"D"+\
"R"+"D"*(Q+1)+"L"*(P+1)+"U") | Python | jtatman_500k |
string Useful for converting pydantic models into objects which can only accept json-like data; e.g. a database
import logging
from datetime import datetime
from typing import Optional
from fastapi import FastAPI , status
from fastapi.encoders import jsonable_encoder
from fastapi.logger import logger
from pydantic impo... | """
Useful for converting pydantic models into objects which
can only accept json-like data; e.g. a database
"""
import logging
from datetime import datetime
from typing import Optional
from fastapi import FastAPI, status
from fastapi.encoders import jsonable_encoder
from fastapi.logger import logger
from pydantic im... | Python | zaydzuhri_stack_edu_python |
from math import trunc
set n = decimal input string Digite um valor:
set i = call trunc n
print format string A parte inteira de {} é {} n i | from math import trunc
n = float(input('Digite um valor: '))
i = trunc(n)
print('A parte inteira de {} é {}'.format(n, i)) | Python | zaydzuhri_stack_edu_python |
function upload self file_name file_bytes file_type codetype
begin
set post_data = dict string username user_name ; string password pass_word ; string codetype codetype ; string appid appid ; string appkey appkey ; string timeout 60 ; string method string upload
set files = dict string file tuple file_name file_bytes f... | def upload(self, file_name, file_bytes, file_type, codetype):
post_data = {
"username": self.user_name,
"password": self.pass_word,
"codetype": codetype,
"appid": self.appid,
"appkey": self.appkey,
"timeout": 60,
"method": "uplo... | Python | nomic_cornstack_python_v1 |
function sum self dim=none skipna=none min_count=none keep_attrs=none **kwargs
begin
return reduce sum dim=dim skipna=skipna min_count=min_count numeric_only=true keep_attrs=keep_attrs keyword kwargs
end function | def sum(
self,
dim: Dims = None,
*,
skipna: bool | None = None,
min_count: int | None = None,
keep_attrs: bool | None = None,
**kwargs: Any,
) -> Dataset:
return self.reduce(
duck_array_ops.sum,
dim=dim,
skipna=skipn... | Python | nomic_cornstack_python_v1 |
function write self msg
begin
write stream string %s % msg
end function | def write(self, msg):
self.stream.write("%s\0" % msg) | Python | nomic_cornstack_python_v1 |
function crossoverFunc parents size bits
begin
set children = zeros size call dtype string a6
for i in range 0 integer size / 2
begin
set x_site = random integer 0 bits - 1
set x1 = parents at i
set x2 = parents at size - i - 1
comment Crossover Probability = 60 percent
if random integer 0 100 > 40
begin
set ch1 = x1 a... | def crossoverFunc(parents, size, bits):
children = np.zeros((size), np.dtype('a6'))
for i in range(0, int(size/2)):
x_site = np.random.randint(0, bits - 1)
x1 = parents[i]
x2 = parents[size - i - 1]
if (np.random.randint(0, 100)) > 40 : # Crossover Probability = 60 percent
ch1 = x1[0:x_site] + x2[x_site:b... | Python | nomic_cornstack_python_v1 |
function approved_repr id
begin
if id is none
begin
set repr_text = APPROVAL_PENDING
end
else
if id == 0
begin
set repr_text = APPROVED
end
else
begin
set row = get users id none
if row
begin
set repr_text = t dist string Approved by %(first_name)s.%(last_name)s % dictionary first_name=row at string first_name at 0 las... | def approved_repr(id):
if id is None:
repr_text = APPROVAL_PENDING
elif id == 0:
repr_text = APPROVED
else:
row = users.get(id, None)
if row:
repr_text = T("Approved by %(first_name)s.%(last_name)s") % \
dict(fi... | Python | nomic_cornstack_python_v1 |
string Task : 0033_Looblike Author : Phumipat C. [MAGCARI] Language: Python Created : 30 May 2021 [11:58] Algo : Status : Finished
set N = integer input
set num = list comprehension integer x for x in split input
set mapp = dictionary
for x in num
begin
if x in mapp
begin
set mapp at x = mapp at x + 1
end
else
begin
se... | """
Task : 0033_Looblike
Author : Phumipat C. [MAGCARI]
Language: Python
Created : 30 May 2021 [11:58]
Algo :
Status : Finished
"""
N = int(input())
num = [int(x) for x in input().split()]
mapp = dict()
for x in num:
if x in mapp: mapp[x]+=1
else: mapp[x] = 1
maxx = max([x for x in mapp.values()])
for x in s... | Python | zaydzuhri_stack_edu_python |
function forward self users k=5
begin
return call top_k_items_for_users users k
end function | def forward(self, users, k = 5):
return self.top_k_items_for_users(users, k) | Python | nomic_cornstack_python_v1 |
function __eq__ self other
begin
if not is instance other Dihedral
begin
raise call TypeError other string is not a Dihedral Group
end
return rot == rot and refl == refl
end function | def __eq__(self, other):
if not isinstance(other, Dihedral):
raise TypeError(other, "is not a Dihedral Group")
return self.rot==other.rot and self.refl==other.refl | Python | nomic_cornstack_python_v1 |
function pipupdate
begin
string Update all currently installed pip packages
set packages = list comprehension d for d in working_set
call string pip install --upgrade + join string packages
end function | def pipupdate():
"""
Update all currently installed pip packages
"""
packages = [d for d in pkg_resources.working_set]
subprocess.call('pip install --upgrade ' + ' '.join(packages)) | Python | jtatman_500k |
function post self request *args **kwargs
begin
set form = call get_form
if call is_valid
begin
return call form_valid form
end
else
begin
return call form_invalid form
end
end function | def post(self, request, *args, **kwargs):
form = self.get_form()
if form.is_valid():
return self.form_valid(form)
else:
return self.form_invalid(form) | Python | nomic_cornstack_python_v1 |
import os
function find_files suffix path
begin
if not suffix or not path
begin
return
end
if path at slice - 2 : : == suffix
begin
print string path matched: path
end
else
if is directory path path
begin
for file in list directory path
begin
call find_files suffix join path path file
end
end
end function
comment Tes... | import os
def find_files(suffix, path):
if not suffix or not path:
return
if path[-2:] == suffix:
print("path matched: ", path)
else:
if os.path.isdir(path):
for file in os.listdir(path):
find_files(suffix, os.path.join(path, file))
# Tests
print("Te... | Python | zaydzuhri_stack_edu_python |
function add_peer self peerAddr networks=none
begin
if _debug
begin
call _debug string add_peer %r networks=%r peerAddr networks
end
comment see if this is already a peer
if peerAddr in peers
begin
comment add the (new?) reachable networks
if not networks
begin
set networks = list
end
else
begin
extend peers at peerAd... | def add_peer(self, peerAddr, networks=None):
if _debug: BTR._debug("add_peer %r networks=%r", peerAddr, networks)
# see if this is already a peer
if peerAddr in self.peers:
# add the (new?) reachable networks
if not networks:
networks = []
els... | Python | nomic_cornstack_python_v1 |
import random
set high_score = none
function start_game high_score
begin
print string Welcome to the NUMBER GUESSING GAME!
set num = random integer 1 10
set count = 1
while num
begin
try
begin
set prompt = integer input string Enter a number between 1 and 10:
if prompt > 10 or prompt < 1
begin
print string Number must ... | import random
high_score = None
def start_game(high_score):
print("Welcome to the NUMBER GUESSING GAME!")
num = random.randint(1,10)
count = 1
while num:
try:
prompt = int(input("Enter a number between 1 and 10: "))
if prompt > 10 or prompt < 1:
print("Num... | Python | zaydzuhri_stack_edu_python |
comment Sol 1
set arr = list
for i in range 10
begin
set n = integer input % 42
if n not in arr
begin
append arr n
end
end
print length arr
comment Sol 2
set arr = list
for i in range 10
begin
append arr integer input % 42
end
print length set arr
comment Sol 3
print length set comprehension integer input % 42 for i ... | # Sol 1
arr = []
for i in range(10):
n = int(input()) % 42
if n not in arr:
arr.append(n)
print(len(arr))
# Sol 2
arr = []
for i in range(10):
arr.append(int(input()) % 42)
print(len(set(arr)))
# Sol 3
print(len({int(input()) % 42 for i in range(10)}))
| Python | zaydzuhri_stack_edu_python |
function plot_distribution self
begin
comment Check to make sure that simulation has run previously.
if not is instance simulated_return DataFrame
begin
call calc_cumulative_return
end
comment Use the `plot` function to create a probability distribution histogram of simulated ending prices
comment with markings for a 9... | def plot_distribution(self):
# Check to make sure that simulation has run previously.
if not isinstance(self.simulated_return,pd.DataFrame):
self.calc_cumulative_return()
# Use the `plot` function to create a probability distribution histogram of simulated ending p... | Python | nomic_cornstack_python_v1 |
set tuple x y = map float split input
set size = input
set n = integer size
set pd = x / y
set prob_1st_defective = 1 - pd ^ 4 * pd
print format string {:.3f} prob_1st_defective | x, y = map(float, input().split())
size = input()
n = int(size)
pd = x/y
prob_1st_defective = (1-pd)**4 * pd
print("{:.3f}".format(prob_1st_defective))
| Python | zaydzuhri_stack_edu_python |
function test_new_file_read_ok self
begin
comment File read is OK if version is new enough, or version cannot be parsed
comment because it is non-int or has too many elements
for ver in tuple string 1.3.2 string 1.3 string 0.0.4.3 string 0.0a
begin
set cif = string loop_ _audit_conform.dict_name _audit_conform.dict_ver... | def test_new_file_read_ok(self):
# File read is OK if version is new enough, or version cannot be parsed
# because it is non-int or has too many elements
for ver in ('1.3.2', '1.3', '0.0.4.3', '0.0a'):
cif = """
loop_
_audit_conform.dict_name
_audit_conform.dict_version
mmcif_pdbx.di... | Python | nomic_cornstack_python_v1 |
function first_level_from_bids bids_layout task_name process_name space_name=string MNI152NLin2009cAsym subjects=string all sessions=string all bold_suffix=string bold modulation_suffix=string modulation confound_suffix=string regressors img_filters=none t_r=none slice_time_ref=0.0 hrf_model=string glover drift_model=s... | def first_level_from_bids(bids_layout, task_name, process_name,
space_name="MNI152NLin2009cAsym",
subjects='all',sessions='all',bold_suffix="bold",
modulation_suffix="modulation",
confound_suffix="regressors",
... | Python | nomic_cornstack_python_v1 |
function create_labeled_pair img gt_center prop_center gt_radius scale
begin
set permitted_scales = list 32 64 128 256
if scale not in permitted_scales
begin
set msg = string scale { scale } not permitted. Please use one of:
set msg = msg + string permitted_scales
raise exception msg
end
set scale_factor = scale // 32
... | def create_labeled_pair(img, gt_center, prop_center, gt_radius, scale):
permitted_scales = [32, 64, 128, 256]
if scale not in permitted_scales:
msg = f"scale {scale} not permitted. Please use one of: "
msg += str(permitted_scales)
raise Exception(msg)
scale_factor = scale//32
x_o... | Python | nomic_cornstack_python_v1 |
from decimal import Decimal
from typing import Union
function coerce_decimal x
begin
if type x is float
begin
set x = call Decimal x
end
return x
end function | from decimal import Decimal
from typing import Union
def coerce_decimal(x: Union[float, Decimal]) -> Decimal:
if type(x) is float:
x = Decimal(x)
return x
| Python | zaydzuhri_stack_edu_python |
function copy self other recursive=false ignore=none followlinks=true
begin
string copy: copy self to other @type other: URI @param other: the path to copy itself over. What will really happen depends on the backend. Note that file properties are only copied when self and other are located in the same backend, i.e. it ... | def copy(self, other, recursive=False, ignore=None,
followlinks=True):
"""
copy: copy self to other
@type other: URI
@param other: the path to copy itself over.
What will really happen depends on the backend.
Note that file properties are only copied when ... | Python | jtatman_500k |
function draw self
begin
for chunk in values chunks
begin
call draw
end
end function | def draw(self):
for chunk in self.chunks.values():
chunk.draw() | Python | nomic_cornstack_python_v1 |
comment ! /usr/bin/env python
string ======================= ANSI Screen Rendition ======================= Library to help you use ANSI graphics on text terminals, featuring cursor movement and color support. Usage ===== Clear screen:: >>> from ansi import clear >>> clear() Move cursor: >>> from ansi import cursor >>> ... | #! /usr/bin/env python
'''
=======================
ANSI Screen Rendition
=======================
Library to help you use ANSI graphics on text terminals, featuring
cursor movement and color support.
Usage
=====
Clear screen::
>>> from ansi import clear
>>> clear()
Move cursor:
>>> from ansi import... | Python | zaydzuhri_stack_edu_python |
import pymongo
comment Open connection
set client = call MongoClient string mongodb://localhost:27017/
set db = client at string mydatabase
comment Update document
call update_one dict string name string John Doe dict string $set dict string age 28
comment Close connection
close client | import pymongo
# Open connection
client = pymongo.MongoClient("mongodb://localhost:27017/")
db = client["mydatabase"]
# Update document
db.collection.update_one(
{"name": "John Doe"},
{"$set": {"age": 28}}
)
# Close connection
client.close() | Python | jtatman_500k |
function key_vault_key_id self
begin
return get pulumi self string key_vault_key_id
end function | def key_vault_key_id(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "key_vault_key_id") | Python | nomic_cornstack_python_v1 |
from google.cloud import storage
import logging
import os
import asyncio
import json
import feedparser
from deepgram import Deepgram
info string Starting podcast transcriber
comment Keys for required environment variables; should match keys in .env.yaml.
set ENV_TARGET_FEED_URL = string TARGET_FEED_URL
set ENV_TRANSCRI... | from google.cloud import storage
import logging
import os
import asyncio
import json
import feedparser
from deepgram import Deepgram
logging.info("Starting podcast transcriber")
# Keys for required environment variables; should match keys in .env.yaml.
ENV_TARGET_FEED_URL = 'TARGET_FEED_URL'
ENV_TRANSCRIPTIONS_BUCKE... | Python | zaydzuhri_stack_edu_python |
function attributes_for_template self
begin
set fields = call order_by string display_order
if not fields
begin
return list
end
if not attributes
begin
warn string %s has fields in its schema, but no attributes! % self
end
comment Hopefully we can cope with an empty dict.
comment return []
return list comprehension ca... | def attributes_for_template(self):
fields = SchemaField.objects.filter(schema__id=self.schema_id).select_related().order_by('display_order')
if not fields:
return []
if not self.attributes:
logger.warn("%s has fields in its schema, but no attributes!" % self)
... | Python | nomic_cornstack_python_v1 |
import pandas as pd
set movies = read csv string movies.csv
set scifi_movies = read csv string scifi_movies
set action_movies = read csv string action_movies | import pandas as pd
movies = pd.read_csv('movies.csv')
scifi_movies = pd.read_csv('scifi_movies')
action_movies = pd.read_csv('action_movies')
| Python | zaydzuhri_stack_edu_python |
async function async_post_request url data
begin
info string Fetching { url } with data { data }
return await call run_in_executor executor post url data
end function | async def async_post_request(url, data):
logging.info(f"Fetching {url} with data {data}")
return await event_loop.run_in_executor(executor, requests.post, url, data) | Python | nomic_cornstack_python_v1 |
function destroy self
begin
if popIval
begin
call pause
set popIval = none
end
if downIval
begin
call pause
set downIval = none
end
call removeNode
pass
end function | def destroy(self):
if self.popIval:
self.popIval.pause()
self.popIval = None
if self.downIval:
self.downIval.pause()
self.downIval = None
self.removeNode()
pass | Python | nomic_cornstack_python_v1 |
function mouseDragged self point delta
begin
pass
end function | def mouseDragged(self, point, delta):
pass | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Mon May 7 14:58:05 2018 @author: mlgkschm
import csv
from math import sqrt
from warnings import warn
comment Q: How do you guarrantee the state names are not misspelled?
comment A: Use this dict to check harvester state names for validity
set st = dict string off string o... | # -*- coding: utf-8 -*-
"""
Created on Mon May 7 14:58:05 2018
@author: mlgkschm
"""
import csv
from math import sqrt
from warnings import warn
# Q: How do you guarrantee the state names are not misspelled?
# A: Use this dict to check harvester state names for validity
st = {'off': 'off', 'cold': 'cold... | Python | zaydzuhri_stack_edu_python |
import sys
set input = readline
function main
begin
set i = integer input
set j = integer input
print if expression i % j == 0 then 0 else j - i % j
end function
if __name__ == string __main__
begin
call main
end | import sys
input = sys.stdin.readline
def main():
i = int(input())
j = int(input())
print(0 if i % j == 0 else j - i % j)
if __name__ == "__main__":
main()
| Python | zaydzuhri_stack_edu_python |
function append self serie timestamp data
begin
if count serie > maxItems - 1
begin
for r in range count serie - maxItems + 1
begin
remove serie call boxSets at 0
end
end
set quantiles = call quantile data list 0 0.25 0.5 0.75 1 * coefficient
set boxSet = call QBoxSet *quantiles string { tm_sec } . { integer timestamp ... | def append(self, serie, timestamp, data):
if serie.count() > self.maxItems - 1:
for r in range(serie.count() - self.maxItems + 1):
serie.remove(serie.boxSets()[0])
quantiles = np.quantile(data, [0, 0.25, 0.5, 0.75, 1]) * self.coefficient
boxSet = QtCharts.QBoxSet(
... | Python | nomic_cornstack_python_v1 |
string array = [1,2,4,5,1] Find min difference of left and right sum of the array e.g. LS - RS 1 - 12 => 11 3 - 10 => 7 7 - 6 => 1 12 - 1 => 11
function min_diff sum index arr
begin
try
begin
print sum
if length arr > 1
begin
comment if index > 0:
set divider = length arr // index
set left = call min_diff sum + arr at ... | '''
array = [1,2,4,5,1]
Find min difference of left and right sum of the array
e.g.
LS - RS
1 - 12 => 11
3 - 10 => 7
7 - 6 => 1
12 - 1 => 11
'''
def min_diff(sum, index, arr):
try:
print(sum)
if len(arr) > 1:
#if index > 0:
divider = len(arr) // index
lef... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment coding: utf-8
comment 
comment In[ ]:
comment visualização de dados
import matplotlib.pyplot as plt
comment visualização de dados
import seaborn as sns
set color_codes=true
comment linear algebra
import numpy as np
comment d... | #!/usr/bin/env python
# coding: utf-8
# 
# In[ ]:
import matplotlib.pyplot as plt # visualização de dados
import seaborn as sns # visualização de dados
sns.set(color_codes=True)
import numpy as np # linear algebra
import pandas as pd # data processing, CSV... | Python | zaydzuhri_stack_edu_python |
function db_for_write self model **hints
begin
if app_label == string auditoria
begin
return string logs
end
return none
end function | def db_for_write(self, model, **hints):
if model._meta.app_label == 'auditoria':
return 'logs'
return None | Python | nomic_cornstack_python_v1 |
function version self
begin
set data = string none yet
if STARTED
begin
set data = get about string Version or get about string Installed Version or string DEMO
set data = replace data string _ string .
end
return data
end function | def version(self) -> str:
data = "none yet"
if self.STARTED:
data = (
self.about.get("Version")
or self.about.get("Installed Version")
or "DEMO"
)
data = data.replace("_", ".")
return data | Python | nomic_cornstack_python_v1 |
function xdivy x y
begin
return call xdivy x y
end function | def xdivy(x, y):
return F.xdivy(x, y) | Python | nomic_cornstack_python_v1 |
function save self
begin
set updated_at = today
save
end function | def save(self):
self.updated_at = datetime.today()
models.storage.save() | Python | nomic_cornstack_python_v1 |
if opcao == 1
begin
print string Você escolheu Coca-Cola
end
else
if opcao == 2
begin
print string Você escolheu Pepsi
end
else
if opcao == 3
begin
print string Você escolheu Guaraná
end
else
if opcao == 4
begin
print string Você escolheu Chá
end
else
begin
print string Opção inválida
end | if opcao == 1:
print('Você escolheu Coca-Cola')
elif opcao == 2:
print('Você escolheu Pepsi')
elif opcao == 3:
print('Você escolheu Guaraná')
elif opcao == 4:
print('Você escolheu Chá')
else:
print('Opção inválida') | Python | zaydzuhri_stack_edu_python |
import nltk
function get_synonyms sentence
begin
set output = list
set words = call word_tokenize sentence
for word in words
begin
set synonyms = list
for syn in call synsets word
begin
for l in call lemmas
begin
append synonyms call name
end
end
append output list set synonyms
end
end function | import nltk
def get_synonyms(sentence):
output = []
words = nltk.word_tokenize(sentence)
for word in words:
synonyms = []
for syn in wordnet.synsets(word):
for l in syn.lemmas():
synonyms.append(l.name())
output.append(list(set(synonyms))) | Python | jtatman_500k |
for s in seq
begin
set comp_seq = comp_seq + comp_data at s
end
print seq
print comp_seq
for i in range length seq
begin
set s = seq at i
set cs = comp_seq at i
set bond = string ≡
if s == string A or s == string T
begin
set bond = string =
end
print string { s } { bond } { cs }
end | for s in seq:
comp_seq+=comp_data[s]
print(seq)
print(comp_seq)
for i in range(len(seq)):
s=seq[i]
cs=comp_seq[i]
bond="≡"
if s == "A" or s == "T":
bond="="
print(f"{s}{bond}{cs}")
| Python | zaydzuhri_stack_edu_python |
function test_get_items_workspaces_get self
begin
pass
end function | def test_get_items_workspaces_get(self):
pass | Python | nomic_cornstack_python_v1 |
class ReachaNumber extends object
begin
comment 下面来说第二个 trick,这个是解题的关键,比如说目标值是4,那么如果我们一直累加步数,
comment 直到其正好大于等于target时,有:
comment 0 + 1 = 1
comment 1 + 2 = 3
comment 3 + 3 = 6
comment 第三步加上3,得到了6,超过了目标值4,超过了的距离为2,是偶数,那么实际上我们只要将加上距
comment 离为1的时候,不加1,而是加 -1,那么此时累加和就损失了2,那么正好能到目标值4,如下:
comment 0 - 1 = -1
comment -1 + 2 =... | class ReachaNumber(object):
# 下面来说第二个 trick,这个是解题的关键,比如说目标值是4,那么如果我们一直累加步数,
# 直到其正好大于等于target时,有:
# 0 + 1 = 1
# 1 + 2 = 3
# 3 + 3 = 6
# 第三步加上3,得到了6,超过了目标值4,超过了的距离为2,是偶数,那么实际上我们只要将加上距
# 离为1的时候,不加1,而是加 -1,那么此时累加和就损失了2,那么正好能到目标值4,如下:
# 0 - 1 = -1
# -1 + 2 = 1
# 1 + 3 = 4
# 那么,我们... | Python | zaydzuhri_stack_edu_python |
import sys
import string
if __name__ == string __main__
begin
set mapping = dict
set refInputString = string ejp mysljylc kd kxveddknmc re jsicpdrysi + string rbcpc ypc rtcsra dkh wyfrepkym veddknkmkrkcd + string de kr kd eoya kw aej tysr re ujdr lkgc jv
set refOutputString = string our language is impossible to under... | import sys
import string
if __name__=='__main__':
mapping = {}
refInputString = "ejp mysljylc kd kxveddknmc re jsicpdrysi" + \
"rbcpc ypc rtcsra dkh wyfrepkym veddknkmkrkcd" + \
"de kr kd eoya kw aej tysr re ujdr lkgc jv"
refOutputString = "our language is impossible to understand" +\
... | Python | zaydzuhri_stack_edu_python |
function _NeedToReturnReferenceDiagnoser msg
begin
set regex = string In member function \'testing::internal::ReturnAction<R>.*\n(?P<file>.*):(?P<line>\d+):\s+instantiated from here\n.*gmock-actions\.h.*error: creating array with negative size
set diagnosis = string %(file)s:%(line)s: You are using an Return() action i... | def _NeedToReturnReferenceDiagnoser(msg):
regex = (r'In member function \'testing::internal::ReturnAction<R>.*\n'
r'(?P<file>.*):(?P<line>\d+):\s+instantiated from here\n'
r'.*gmock-actions\.h.*error: creating array with negative size')
diagnosis = """%(file)s:%(line)s:
You are using an Retur... | Python | nomic_cornstack_python_v1 |
function update self
begin
pass
end function | def update(self):
pass | Python | nomic_cornstack_python_v1 |
import tkinter as tk
from tkinter import ttk
import easygui
import pandas as pd
from time import strftime , sleep
import visualizer
import helper
comment text
set rtx3080text = string Running RTX 3080 Ebay Prices Visualizer!
comment tkinter intialization and config
set window = call Tk
title window string Average Ebay ... | import tkinter as tk
from tkinter import ttk
import easygui
import pandas as pd
from time import strftime, sleep
import visualizer
import helper
# text
rtx3080text = "Running RTX 3080 Ebay Prices Visualizer!"
# tkinter intialization and config
window = tk.Tk()
window.title("Average Ebay Prices")
# window.geometry("6... | Python | zaydzuhri_stack_edu_python |
function my_function n1 n2
begin
if length n1 > length n2
begin
print n1
end
else
if length n1 == length n2
begin
print n1 n2
end
end function
set a = input string enter a text
set b = input string enter a text
call my_function a b | def my_function(n1,n2):
if len(n1)>len(n2):
print(n1)
elif len(n1)==len(n2):
print(n1,n2)
a=input("enter a text")
b=input("enter a text")
my_function(a,b) | Python | zaydzuhri_stack_edu_python |
function overwrite_forward_crossattention self
begin
for mod in block
begin
set attn = EncDecAttention
set forward = call MethodType cross_attention_forward attn
end
end function | def overwrite_forward_crossattention(self):
for mod in self.decoder.block:
attn = mod.layer[1].EncDecAttention
attn.forward = types.MethodType(cross_attention_forward, attn) | Python | nomic_cornstack_python_v1 |
function isAirx x y
begin
if call getBlock x y zp == 0
begin
return true
end
else
begin
return false
end
end function | def isAirx(x, y):
if mc.getBlock(x, y, zp) == 0:
return True
else:
return False | Python | nomic_cornstack_python_v1 |
function format_angles *args
begin
set result = list
for arg in args
begin
comment separate the sign and the magnitude
set arg_value = absolute arg
set arg_sign = arg / arg_value
debug string format_angles: arg sign is %+d arg_sign
debug string format_angles: arg value is %f arg_value
comment get the integer degrees o... | def format_angles(*args):
result = []
for arg in args:
# separate the sign and the magnitude
arg_value = abs(arg)
arg_sign = arg/arg_value
logger.debug("format_angles: arg sign is %+d", arg_sign)
logger.debug("format_angles: arg value is %f", arg_value)
# get the integer degrees or hours
... | Python | nomic_cornstack_python_v1 |
function _close self fd
begin
string Removes a file descriptor from the file descriptor list :rtype: int :param fd: the file descriptor to close. :return: C{0} on success.
try
begin
close files at fd
comment Keep track for SymbolicFile testcase generation
append _closed_files files at fd
set files at fd = none
end
exce... | def _close(self, fd):
"""
Removes a file descriptor from the file descriptor list
:rtype: int
:param fd: the file descriptor to close.
:return: C{0} on success.
"""
try:
self.files[fd].close()
self._closed_files.append(self.files[fd]) # Ke... | Python | jtatman_500k |
function get_inverted_index self
begin
return _inverted_index_cache
end function | def get_inverted_index(self):
return self._inverted_index_cache | Python | nomic_cornstack_python_v1 |
function build_footPivots self
begin
set mi_footModule = false
set mi_ball = false
set mi_ankle = false
end function
comment Find our foot
comment ============================================================================ | def build_footPivots(self):
mi_footModule = False
mi_ball = False
mi_ankle = False
#Find our foot
#============================================================================ | Python | nomic_cornstack_python_v1 |
function find_stop_near place_name
begin
return call get_nearest_station call get_lat_long place_name at 0 call get_lat_long place_name at 1
end function | def find_stop_near(place_name):
return get_nearest_station(get_lat_long(place_name)[0],get_lat_long(place_name)[1]) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python2
comment -*- coding: utf-8 -*-
string Created on Mon Feb 11 00:09:03 2019 @author: dweckler
from tkinter import Tk , Label , Button , Entry , mainloop , filedialog , messagebox , Grid , Checkbutton , IntVar , END
import os
comment import tkSimpleDialog as simpledialog
import matplotlib
call... | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Mon Feb 11 00:09:03 2019
@author: dweckler
"""
from tkinter import Tk, Label, Button, Entry, mainloop, filedialog, messagebox, Grid, Checkbutton, IntVar, END
import os
#import tkSimpleDialog as simpledialog
import matplotlib
matplotlib.use('qt5agg')
from ... | Python | zaydzuhri_stack_edu_python |
function on_actionBon_de_Livaison_triggered self
begin
set bon_livraison = call Bon_Livraison engine
show
end function | def on_actionBon_de_Livaison_triggered(self):
self.bon_livraison = Bon_Livraison(self.engine)
self.bon_livraison.show() | Python | nomic_cornstack_python_v1 |
import pandas as pd
from Constants.constants import PORTFOLIO_FILE_NAME
class Data_Reader
begin
function read_excel path=string
begin
try
begin
set df = call read_excel path + PORTFOLIO_FILE_NAME + string .xlsx
end
except Exception as e
begin
print string Failed to read excel file
print e
return none
end
return df
end ... | import pandas as pd
from ..Constants.constants import PORTFOLIO_FILE_NAME
class Data_Reader:
def read_excel(path: str="") -> pd.DataFrame:
try:
df = pd.read_excel(path + PORTFOLIO_FILE_NAME + ".xlsx")
except Exception as e:
print("Failed to read excel file")
... | Python | zaydzuhri_stack_edu_python |
function bonus GPA
begin
set bonus = 500000
set total = GPA * bonus
return total
end function
set listGPA = list 3 2.7 2.5 4
for GPA in listGPA
begin
if GPA > 3
begin
print string Selamat Anda Mendapatkan Bonus call bonus GPA
end
else
begin
print string Mohon Maaf, Anda Tidak Mendapatkan Bonus
end
end | def bonus(GPA):
bonus = 500000
total = GPA*bonus
return total
listGPA = [3, 2.7, 2.5, 4]
for GPA in listGPA:
if GPA > 3:
print("Selamat Anda Mendapatkan Bonus", bonus(GPA))
else:
print("Mohon Maaf, Anda Tidak Mendapatkan Bonus") | Python | zaydzuhri_stack_edu_python |
import pygame
from pygame.locals import *
import random
import os
set environ at string SDL_VIDEO_WINDOW_POS = string 0,0
import sys
from threading import Thread
comment car_thread=Thread(target=functionname,args=(arguments,))
comment car_thread.start()
comment window=pygame.display.set_mode((858,624),RESIZABLE|HWSURFA... | import pygame
from pygame.locals import *
import random
import os
os.environ['SDL_VIDEO_WINDOW_POS'] = "0,0"
import sys
from threading import Thread
#car_thread=Thread(target=functionname,args=(arguments,))
#car_thread.start()
#window=pygame.display.set_mode((858,624),RESIZABLE|HWSURFACE|DOUBLEBUF)
window=pygame.displ... | Python | zaydzuhri_stack_edu_python |
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