code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
comment !/usr/bin/python
comment -*- coding: utf-8
comment Appends a line with annotations to the previous verse
comment For ASCII Encoding/Decoding of Inuktitut Syllabary
import io
import codecs
import unicodedata
import sys
import re
call reload sys
call setdefaultencoding string utf8
set inputname = string input nam... | #!/usr/bin/python
# -*- coding: utf-8
# Appends a line with annotations to the previous verse
# For ASCII Encoding/Decoding of Inuktitut Syllabary
import io
import codecs
import unicodedata
import sys
import re
reload(sys)
sys.setdefaultencoding('utf8')
inputname = 'input name'
outputname = 'output name'
def conver... | Python | zaydzuhri_stack_edu_python |
function tokenize self
begin
return _TOKENIZER
end function | def tokenize(self):
return self._TOKENIZER | Python | nomic_cornstack_python_v1 |
function chain self *arg **kw
begin
set result = none
comment extract the static arguments (if any) from arg so they can
comment be passed to each plugin call in the chain
set static = list comprehension a for tuple static a in zip get attribute method string static_args list arg if static
for tuple p meth in plugins
b... | def chain(self, *arg, **kw):
result = None
# extract the static arguments (if any) from arg so they can
# be passed to each plugin call in the chain
static = [a for (static, a)
in zip(getattr(self.method, 'static_args', []), arg)
if static]
for... | Python | nomic_cornstack_python_v1 |
function __init__ self odgt cfg
begin
comment parse options
set cfg = cfg
set imgSizes = imgSizes
set imgMaxSize = imgMaxSize
set padding_constant = padding_constant
set root_dataset = root
if is instance odgt list
begin
set list_sample = odgt
end
else
if is instance odgt str
begin
set list_sample = list comprehension ... | def __init__(
self, odgt, cfg: DictConfig
):
# parse options
self.cfg = cfg
self.imgSizes = self.cfg.datamodule.imgSizes
self.imgMaxSize = self.cfg.datamodule.imgMaxSize
self.padding_constant = self.cfg.datamodule.padding_constant
self.root_dataset = self... | Python | nomic_cornstack_python_v1 |
import math
import random
from vector import Vector2d , DirectionalVector
from bezier import make_bezier
class Space
begin
set LISTENER_POSITION = call Vector2d 0 0
set ROOM_RADIUS = 30
set NEAREST_DISTANCE_TO_LISTENER = 0.1
set MIN_CURVATURE = 50.0 / 360 * 2 * pi
set MAX_CURVATURE = 80.0 / 360 * 2 * pi
set TRAJECTORY_... | import math
import random
from vector import Vector2d, DirectionalVector
from bezier import make_bezier
class Space:
LISTENER_POSITION = Vector2d(0, 0)
ROOM_RADIUS = 30
NEAREST_DISTANCE_TO_LISTENER = 0.1
MIN_CURVATURE = 50.0 / 360 * 2*math.pi
MAX_CURVATURE = 80.0 / 360 * 2*math.pi
TRAJECTORY_PR... | Python | zaydzuhri_stack_edu_python |
function kill_calibrators self
begin
if calibrator_popen is not none
begin
call send_signal SIGINT
set calibrator_popen = none
end
end function | def kill_calibrators(self):
if self.calibrator_popen is not None:
self.calibrator_popen.send_signal(subprocess.signal.SIGINT)
self.calibrator_popen = None | Python | nomic_cornstack_python_v1 |
import logging
import os
import sys
from utils import slack
from utils import git
from github import UnknownObjectException
call basicConfig format=string %(asctime)s %(levelname)-8s [%(filename)s:%(lineno)d:%(funcName)s] %(message)s level=INFO
set logger = call getLogger __name__
function main
begin
comment TODO: add ... | import logging
import os
import sys
from utils import slack
from utils import git
from github import UnknownObjectException
logging.basicConfig(
format="%(asctime)s %(levelname)-8s [%(filename)s:%(lineno)d:%(funcName)s] %(message)s",
level=logging.INFO
)
logger = logging.getLogger(__name__)
def main():
#... | Python | zaydzuhri_stack_edu_python |
from random import randint
import rotations
import solving
comment Brings the cube to the solved state (by setting the colors of the blocks)
function cube_to_solved
begin
set cube = tuple list string string string string string string string string string list string string string string string string st... | from random import randint
import rotations
import solving
# Brings the cube to the solved state (by setting the colors of the blocks)
def cube_to_solved():
cube = ['','','','','','','','',''],['','','','','','','','',''],['','','','','','','','',''],['','','','','','','','',''],['','','','','','','','',''... | Python | zaydzuhri_stack_edu_python |
string 勒让德正交多项式
import math
import numpy as np
import matplotlib.pyplot as plt
function chengji fx1 fx2 n1 n2
begin
set ans = list
for n in range n1 + n2 - 1
begin
set temp = 0
for i in range n1
begin
if n - i < 0
begin
break
end
else
if n - i >= n2
begin
continue
end
else
begin
set temp = temp + fx1 at i * fx2 at n -... | '''
勒让德正交多项式
'''
import math
import numpy as np
import matplotlib.pyplot as plt
def chengji(fx1, fx2, n1, n2):
ans = []
for n in range(n1 + n2 - 1):
temp = 0
for i in range(n1):
if (n - i < 0):
break
elif (n - i >= n2):
continue
... | Python | zaydzuhri_stack_edu_python |
function sntl model num_classes dataset k teacher power_iter norm_beta freeze_bn reuse_statistic reuse_teacher_statistic
begin
set save_name = string sntl_ { power_iter } _ { norm_beta } _ { if expression freeze_bn then string True else string False } _ { if expression reuse_teacher_statistic then string rts_ else stri... | def sntl(model, num_classes, dataset, k, teacher,
power_iter, norm_beta, freeze_bn, reuse_statistic, reuse_teacher_statistic):
save_name = f"sntl_{power_iter}_{norm_beta}_" \
f"{'True' if freeze_bn else 'False'}_" \
f"{'rts_' if reuse_teacher_statistic else ''}" \
... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Sat Dec 28 12:20:39 2020 @author: Raghu
import pyttsx3
import datetime
import speech_recognition as sr
import wikipedia
import smtplib
import webbrowser as wb
import os
comment taking screenshots
import pyautogui
comment for battery,cpu updates
import psutil
import pyjoke... | # -*- coding: utf-8 -*-
"""
Created on Sat Dec 28 12:20:39 2020
@author: Raghu
"""
import pyttsx3
import datetime
import speech_recognition as sr
import wikipedia
import smtplib
import webbrowser as wb
import os
import pyautogui #taking screenshots
import psutil #for battery,cpu updates
import pyjokes
engine = py... | Python | zaydzuhri_stack_edu_python |
import random
comment slownik znakow
set sz = string abcdefghijklmnoprstwxyzqABCDEFGHIJKLMNOPRSTXYZQ@!$
set iloscZnakow = 8
set haslo = join string random sample sz iloscZnakow
print haslo | import random
#slownik znakow
sz = 'abcdefghijklmnoprstwxyzqABCDEFGHIJKLMNOPRSTXYZQ@!$'
iloscZnakow = 8
haslo = "".join(random.sample(sz,iloscZnakow))
print(haslo) | Python | zaydzuhri_stack_edu_python |
function print_grid grid
begin
set minz = min keys grid
set maxz = max keys grid
set miny = 0
set maxy = 0
set minx = 0
set maxx = 0
for tuple z planes in items grid
begin
if length planes
begin
set miny = min miny min planes
set maxy = max maxy max planes
end
for lines in values grid at z
begin
if length lines
begin
s... | def print_grid(grid):
minz = min(grid.keys())
maxz = max(grid.keys())
miny = 0
maxy = 0
minx = 0
maxx = 0
for z, planes in grid.items():
if len(planes):
miny = min(miny, min(planes))
maxy = max(maxy, max(planes))
for lines in grid[z].values():
... | Python | zaydzuhri_stack_edu_python |
function updateApsLabels self
begin
set label_format = guiApsLabels + string %d
call forceRender
end function | def updateApsLabels(self):
self.apsLabels.mapper.label_format = (self.guiApsLabels + " %d")
self.forceRender() | Python | nomic_cornstack_python_v1 |
import math
function calculate_area sides
begin
comment Triangle
if length sides == 3
begin
set tuple a b c = sides
comment Semiperimeter
set s = a + b + c / 2
set area = square root s * s - a * s - b * s - c
return area
end
else
comment Quadrilateral
if length sides == 4
begin
set tuple a b c d = sides
set area = a * ... | import math
def calculate_area(sides):
if len(sides) == 3: # Triangle
a, b, c = sides
s = (a + b + c) / 2 # Semiperimeter
area = math.sqrt(s * (s - a) * (s - b) * (s - c))
return area
elif len(sides) == 4: # Quadrilateral
a, b, c, d = sides
area = (a * b * c *... | Python | greatdarklord_python_dataset |
comment This is an infinite loop that has a breakout key
set number = 0
set total = 0
while true
begin
set x = input string enter a number
if x == string end
begin
break
end
try
begin
set xval = integer x
end
except any
begin
print string that is not valid input
continue
end
set total = total + 1
set number = number + ... | # This is an infinite loop that has a breakout key
number=0
total=0
while True:
x=input('enter a number')
if x=='end':
break
try:
xval=int(x)
except:
print('that is not valid input')
continue
... | Python | zaydzuhri_stack_edu_python |
from mlstocks.tipranks import download_stats_tipranks
from mlstocks.yahoo_finance import download_stats_yahoo , download_history_yahoo
set ticker = string AAPL
comment --- Download statistics
set tuple basic_stats all_stats = call download_stats_tipranks ticker
print string ----------- Basic stats
print basic_stats
pri... | from mlstocks.tipranks import download_stats_tipranks
from mlstocks.yahoo_finance import download_stats_yahoo, download_history_yahoo
ticker='AAPL'
# --- Download statistics
basic_stats, all_stats = download_stats_tipranks(ticker)
print('----------- Basic stats')
print(basic_stats)
print('----------- Advanced stat... | Python | zaydzuhri_stack_edu_python |
class Solution
begin
function majorityElement self nums
begin
string :type nums: List[int] :rtype: int
sort nums
return nums at length nums // 2
end function
end class
if __name__ == string __main__
begin
set nums = list 2 2 1 1 1 2 2
print call majorityElement nums
end | class Solution:
def majorityElement(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
nums.sort()
return nums[len(nums)//2]
if __name__ == "__main__":
nums = [2,2,1,1,1,2,2]
print(Solution().majorityElement(nums)) | Python | zaydzuhri_stack_edu_python |
function load_feature feature_name caf_dose features_path
begin
comment gets the paths to the folders where the specified feature is stored
set subject_paths = glob glob join path features_path string * feature_name
set feature = dict
for path in subject_paths
begin
comment extract the subject id from the current path... | def load_feature(feature_name, caf_dose, features_path):
# gets the paths to the folders where the specified feature is stored
subject_paths = glob.glob(os.path.join(features_path, "*", feature_name))
feature = {}
for path in subject_paths:
# extract the subject id from the current path (second... | Python | nomic_cornstack_python_v1 |
function get_code_num_rgb s
begin
string Get rgb code numbers from an RGB escape code. Raises InvalidRgbEscapeCode if an invalid number is found.
set parts = split s string ;
if length parts != 5
begin
raise call InvalidRgbEscapeCode s reason=string Count is off.
end
set rgbparts = parts at slice - 3 : :
if not ends ... | def get_code_num_rgb(s: str) -> Optional[Tuple[int, int, int]]:
""" Get rgb code numbers from an RGB escape code.
Raises InvalidRgbEscapeCode if an invalid number is found.
"""
parts = s.split(';')
if len(parts) != 5:
raise InvalidRgbEscapeCode(s, reason='Count is off.')
rgbparts = p... | Python | jtatman_500k |
comment For web scrapping task we need to insatall bs4 module
comment For install that module type "pip.exe install bs4" command line into cmd
comment After that import BeautifulSoup from bs4 module
from bs4 import BeautifulSoup
import requests
set search = input string Enter search Term:
set params = dict string q sea... | # For web scrapping task we need to insatall bs4 module
# For install that module type "pip.exe install bs4" command line into cmd
# After that import BeautifulSoup from bs4 module
from bs4 import BeautifulSoup
import requests
search = input('Enter search Term:')
params = {"q": search}
# url = {"https://www.bing.com... | Python | zaydzuhri_stack_edu_python |
import numpy as np
class Directional
begin
function __init__ self direction ambient_intensity=0.4 local_intensity=0.6 color=none
begin
string Define directional light. Only required parameter is direction, all others will set to default values
set direction = array direction
comment Normalized vector pointing towards l... | import numpy as np
class Directional:
def __init__(self, direction, ambient_intensity=0.4, local_intensity=0.6, color=None):
""" Define directional light. Only required parameter is direction, all others will set to default values """
self.direction = np.array(direction)
# Normalized vect... | Python | zaydzuhri_stack_edu_python |
import os
from flask import Flask
set app = call Flask __name__
comment Retorna el contenido de un archivo
function contenido_de_archivo ruta
begin
with open ruta string r as archivo
begin
set contenido = read archivo
end
return contenido
end function
decorator call route string /
comment Index de la pagina
function in... | import os
from flask import Flask
app = Flask(__name__)
#Retorna el contenido de un archivo
def contenido_de_archivo(ruta):
with open(ruta, 'r') as archivo:
contenido = archivo.read()
return contenido
#Index de la pagina
@app.route("/")
def index():
return contenido_de_archivo("demos/fixed/index3.html")
#Est... | Python | zaydzuhri_stack_edu_python |
function find_substring string substring
begin
comment Find the index of the substring in the string
set index = find string substring
comment If the substring is found, return True and the index
if index != - 1
begin
return tuple true index
end
comment If the substring is not found, return False and -1 as the index
re... | def find_substring(string, substring):
# Find the index of the substring in the string
index = string.find(substring)
# If the substring is found, return True and the index
if index != -1:
return True, index
# If the substring is not found, return False and -1 as the index
return False... | Python | greatdarklord_python_dataset |
from __future__ import print_function
import os
from pprint import pprint
import requests
from pympler import asizeof
function part_of_merge r c merges
begin
for merge in merges
begin
if merge at string startRowIndex <= r < merge at string endRowIndex and merge at string startColumnIndex <= c < merge at string endColum... | from __future__ import print_function
import os
from pprint import pprint
import requests
from pympler import asizeof
def part_of_merge(r, c, merges):
for merge in merges:
if (
merge["startRowIndex"] <= r < merge["endRowIndex"]
and merge["startColumnIndex"] <= c < merge["endColumn... | Python | zaydzuhri_stack_edu_python |
function cyan cls s
begin
return call _wrap_colour s CYAN
end function | def cyan(cls, s):
return cls._wrap_colour(s, cls.CYAN) | Python | nomic_cornstack_python_v1 |
function ner_features tokens index history
begin
comment Pad the sequence with placeholders
set tokens = list tuple string __START2__ string __START2__ tuple string __START1__ string __START1__ + list tokens + list tuple string __END1__ string __END1__ tuple string __END2__ string __END2__
set history = list string __S... | def ner_features(tokens, index, history):
# Pad the sequence with placeholders
tokens = [('__START2__', '__START2__'), ('__START1__', '__START1__')] + list(tokens) + [('__END1__', '__END1__'),
('__END2__', '__END2__')]
... | Python | nomic_cornstack_python_v1 |
function histogram_elements example_list
begin
set histogram = dict
for i in example_list
begin
set histogram at i = count example_list i
end
return histogram
end function | def histogram_elements(example_list):
histogram = {}
for i in example_list:
histogram[i] = example_list.count(i)
return histogram | Python | iamtarun_python_18k_alpaca |
function getLength self
begin
return sideLength
end function | def getLength(self):
return self.sideLength | Python | nomic_cornstack_python_v1 |
for _ in call xrange input
begin
set N = input
set A = map int split call raw_input
set HT = dict
for a in A
begin
set HT at a = 1
end
end | for _ in xrange(input()):
N = input()
A = map(int, raw_input().split())
HT = {}
for a in A:
HT[a] = 1 | Python | zaydzuhri_stack_edu_python |
string Note: Please run the code in google colab or jupyter notebook to avoid unnecessary errors
string Note: Uncomment the below code only if run in google colab Download the load2vec model
comment !python -m spacy download en_core_web_md
string Import the spacy library and load the word2vec model
import spacy
set nlp... | """
Note: Please run the code in google colab or jupyter notebook to avoid unnecessary errors
"""
"""
Note: Uncomment the below code only if run in google colab
Download the load2vec model
"""
#!python -m spacy download en_core_web_md
"""
Import the spacy library and load the word2vec model
"""
import spacy
nlp = s... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import matplotlib.pyplot as plt
import math
function main
begin
set resultat = call pointimage 350 0 250 1300 600
set indice = call testimage resultat
return indice
end function
function calculnormale intersec
begin
string calcul la normale à la surface du cylindre au point intersec
set x = dot list ... | import numpy as np
import matplotlib.pyplot as plt
import math
def main():
resultat = pointimage(350,0,250,1300,600)
indice = testimage(resultat)
return indice
def calculnormale(intersec):
"""calcul la normale à la surface du cylindre au point intersec"""
x = intersec.dot([1,0,0])
y = inte... | Python | zaydzuhri_stack_edu_python |
comment 골드바흐의 추측
comment https://www.acmicpc.net/problem/6588
import sys
import math
function isPrime num
begin
if num == 1
begin
return false
end
for i in range 2 integer square root num + 1
begin
if num % i == 0
begin
return false
end
end
return true
end function
function checkConjecture target
begin
comment 4
set ha... | #골드바흐의 추측
#https://www.acmicpc.net/problem/6588
import sys
import math
def isPrime(num):
if num == 1:
return False
for i in range(2, int(math.sqrt(num))+1):
if num % i == 0:
return False
return True
def checkConjecture(target):
#4
half = int(target/2)
for... | Python | zaydzuhri_stack_edu_python |
function forward_reinforce self prob target reward cuda=false
begin
set N = size target 0
set C = size prob 1
set one_hot = zeros tuple N C
if cuda
begin
set one_hot = cuda one_hot
end
call scatter_ 1 view data tuple - 1 1 1
set one_hot = type ByteTensor
set one_hot = call Variable one_hot
if cuda
begin
set one_hot = c... | def forward_reinforce(self, prob, target, reward, cuda=False):
N = target.size(0)
C = prob.size(1)
one_hot = torch.zeros((N, C))
if cuda:
one_hot = one_hot.cuda()
one_hot.scatter_(1, target.data.view((-1,1)), 1)
one_hot = one_hot.type(torch.ByteTensor)
... | Python | nomic_cornstack_python_v1 |
string Python 3.8.5 64-bit Author: Adam Turner <turner.adch@gmail.com> Based on a scrapy spider written by Liam Xiao.
comment pypi
import requests
import lxml.html
import sqlalchemy
import numpy as np
import pandas as pd
comment standard library
import pathlib
from datetime import datetime
comment local
import conndb
f... | """
Python 3.8.5 64-bit
Author: Adam Turner <turner.adch@gmail.com>
Based on a scrapy spider written by Liam Xiao.
"""
# pypi
import requests
import lxml.html
import sqlalchemy
import numpy as np
import pandas as pd
# standard library
import pathlib
from datetime import datetime
# local
import conndb
from validation im... | Python | zaydzuhri_stack_edu_python |
function lastmod self category
begin
string Return the last modification of the entry.
set lastitems = call only string modification_date
return modification_date
end function | def lastmod(self, category):
"""Return the last modification of the entry."""
lastitems = EntryModel.objects.published().order_by('-modification_date').filter(categories=category).only('modification_date')
return lastitems[0].modification_date | Python | jtatman_500k |
function main_background
begin
call fill COLOR_BACKGROUND
end function | def main_background():
surface.fill(COLOR_BACKGROUND) | Python | nomic_cornstack_python_v1 |
function test_udp_alt_iteration
begin
set cmd = list string python string dnsck/dnsck.py string -s string 8.8.8.8 string google.com string -i string 1
set process = run cmd shell=false check=true
assert returncode == 0
end function | def test_udp_alt_iteration():
cmd = ["python", "dnsck/dnsck.py", "-s", "8.8.8.8", "google.com", "-i", "1"]
process = subprocess.run(cmd, shell=False, check=True)
assert process.returncode == 0 | Python | nomic_cornstack_python_v1 |
function retrieve_public_genesets options=dict retrieve_all=false
begin
set genesets_url = TRIBE_URL + string /api/v1/geneset/
set genesets = list
set tribe_connection = get requests genesets_url params=options
set error_template_string = string Error when retrieving public genesets from tribe. Got response from Trib... | def retrieve_public_genesets(options={}, retrieve_all=False):
genesets_url = TRIBE_URL + '/api/v1/geneset/'
genesets = []
tribe_connection = requests.get(genesets_url, params=options)
error_template_string = (
"Error when retrieving public genesets from tribe. "
"Got response from Tr... | Python | nomic_cornstack_python_v1 |
function f_W_T_to_P_T_gc u P_0 r_f d s T wealth alpha_0 alpha_1
begin
set tuple beta_0 beta_1 beta_2 = call f_beta P_0 r_f d s T
set P_T = call f_P_T u P_0 r_f d s T
set ln_P_T = call f_ln_P_T u P_0 r_f d s T
if ln_P_T > - beta_1 / 2 * beta_2
begin
set W_T = call f_W_T_gc u P_0 r_f d s T wealth alpha_0 alpha_1
set R_T ... | def f_W_T_to_P_T_gc(u, P_0, r_f, d, s, T, wealth, alpha_0, alpha_1):
(beta_0, beta_1, beta_2) = f_beta(P_0, r_f, d, s, T)
P_T = f_P_T(u, P_0, r_f, d, s, T)
ln_P_T = f_ln_P_T(u, P_0, r_f, d, s, T)
if ln_P_T > - beta_1 / (2 * beta_2):
W_T = f_W_T_gc(u, P_0, r_f, d, s, T, wealth, alpha_0,... | Python | nomic_cornstack_python_v1 |
function load_Mitochondria self dataset_dir subset
begin
comment Add classes. We have only one class to add.
call add_class string Mitochondria 1 string Mitochondria
comment Train or validation dataset?
assert subset in list string train string val
set dataset_dir = join path dataset_dir subset
for filename in list dir... | def load_Mitochondria(self, dataset_dir, subset):
# Add classes. We have only one class to add.
self.add_class("Mitochondria", 1, "Mitochondria")
# Train or validation dataset?
assert subset in ["train", "val"]
dataset_dir = os.path.join(dataset_dir, subset)
for filena... | Python | nomic_cornstack_python_v1 |
function test_loggin_required self
begin
set response = get client RESGATE_URL
assert equal status_code HTTP_401_UNAUTHORIZED
end function | def test_loggin_required(self):
response = self.client.get(RESGATE_URL)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) | Python | nomic_cornstack_python_v1 |
function normalize_key_for_search library_key
begin
return replace library_key version_guid=none branch=none
end function | def normalize_key_for_search(library_key):
return library_key.replace(version_guid=None, branch=None) | Python | nomic_cornstack_python_v1 |
function calculate_error k_means_matrix
begin
return sum list comprehension min dist for dist in k_means_matrix
end function | def calculate_error(k_means_matrix):
return sum([min(dist) for dist in k_means_matrix]) | Python | nomic_cornstack_python_v1 |
function move self state action
begin
set newx = state at 0 + action at 0
set newy = state at 1 + action at 1
if newx < 0
begin
return false
end
if newx > xlim - 1
begin
return false
end
if newy < 0
begin
return false
end
if newy > ylim - 1
begin
return false
end
return list newx newy
end function | def move(self, state, action):
newx = state[0] + action[0]
newy = state[1] + action[1]
if newx < 0:
return False
if newx > self.xlim - 1:
return False
if newy < 0:
return False
if newy > self.ylim - 1:
return False
... | Python | nomic_cornstack_python_v1 |
from tokenrules import tokens
from ast import *
set precedence = tuple tuple string right string ASSIGN tuple string nonassoc string COMPARE
function p_statements p
begin
string statements : statements_list
set p at 0 = call Statements p at 1
end function
function p_statements_list p
begin
string statements_list : stat... | from tokenrules import tokens
from ast import *
precedence = (
('right', 'ASSIGN'),
('nonassoc', 'COMPARE'),
)
def p_statements(p):
'''statements : statements_list'''
p[0] = Statements(p[1])
def p_statements_list(p):
'''statements_list : statement statements_list
| '''
... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
import math
comment //////////////////////////////////////////////////////////////////////////////// Read Data
set donor = read csv string Donors.csv
comment print(donor)
set hospital = read csv string Hospitals.csv
comment print(hospital)
comment ////////////////////////////////////////////////////... | import pandas as pd
import math
# //////////////////////////////////////////////////////////////////////////////// Read Data
donor = pd.read_csv('Donors.csv')
# print(donor)
hospital = pd.read_csv('Hospitals.csv')
# print(hospital)
# /////////////////////////////////////////////////////////////////////////////// D... | Python | zaydzuhri_stack_edu_python |
function check_neutron_notifications_toolchain self
begin
call revert_snapshot string deploy_toolchain
call check_plugins_online
call check_neutron_notifications
end function | def check_neutron_notifications_toolchain(self):
self.env.revert_snapshot("deploy_toolchain")
self.check_plugins_online()
self.check_neutron_notifications() | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python3
string test the almost a circle project
import unittest
from models.base import Base
from models.rectangle import Rectangle
from models.square import Square
class TestClassMerthods extends TestCase
begin
string test the almost a circle project
function test_Base_id self
begin
assert equal id 1... | #!/usr/bin/python3
"""test the almost a circle project"""
import unittest
from models.base import Base
from models.rectangle import Rectangle
from models.square import Square
class TestClassMerthods(unittest.TestCase):
"""test the almost a circle project"""
def test_Base_id(self):
self.assertEqual(B... | Python | zaydzuhri_stack_edu_python |
comment intersection () method returns a set of intersection between two sets
print intersection set1 set2
comment difference () method returns a set of differences in two sets
comment chem set2 otlichaetsja ot set1
print difference set2 set1
print difference set1 set2
comment union ()method will return a set of all va... | #intersection () method returns a set of intersection between two sets
print(set1.intersection(set2))
# difference () method returns a set of differences in two sets
print(set2.difference(set1)) # chem set2 otlichaetsja ot set1
print(set1.difference(set2))
#union ()method will return a set of all value from both sets
... | Python | zaydzuhri_stack_edu_python |
function extractCityData city_url
begin
set city_data = list
set error_file = writer open ERRORS string wb
comment get state and city name
set city = replace base name path city_url string - string
set state = replace base name path directory name path city_url string - string
comment grab html of city page
try
begin
... | def extractCityData(city_url):
city_data = []
error_file = csv.writer(open(ERRORS, 'wb'))
# get state and city name
city = os.path.basename(city_url).replace('-', ' ')
state = os.path.basename(os.path.dirname(city_url)).replace('-', ' ')
# grab html of city page
try:
city_site = lxml.html.parse(cit... | Python | nomic_cornstack_python_v1 |
function distance l1 l2
begin
set length = length l1
if length l2 < length
begin
set length = length l2
end
set sum = 0
for i in range length
begin
set sum = sum + l1 at i - l2 at i ^ 2
end
set d = square root sum
return d
end function | def distance(l1,l2):
length = len(l1)
if len(l2) < length:
length = len(l2)
sum = 0
for i in range(length):
sum += (l1[i]-l2[i])**2
d = math.sqrt(sum)
return d | Python | nomic_cornstack_python_v1 |
import networkx as nx
from abc import ABC , abstractmethod
class AbstractRankingSystem extends ABC
begin
string
decorator abstractmethod
function getNodesRanking self graph
begin
raise NotImplementedError
end function
function setNodesRank self graph ranking drawMode=false
begin
string Set rank attribute for each node... | import networkx as nx
from abc import ABC, abstractmethod
class AbstractRankingSystem(ABC):
"""
"""
@abstractmethod
def getNodesRanking(self, graph):
raise NotImplementedError
def setNodesRank(self, graph, ranking, drawMode=False):
""" Set rank attribute for each node in th... | Python | zaydzuhri_stack_edu_python |
function spin self seconds
begin
set time_end = time + seconds
while time < time_end
begin
call processEvents
end
end function | def spin(self, seconds):
time_end = time.time() + seconds
while time.time() < time_end:
QApplication.processEvents() | Python | nomic_cornstack_python_v1 |
function uid_split groups
begin
comment This method should really be built into gob somehow.
return generator expression tuple group id for tuple group ids in groups for id in ids
end function | def uid_split(groups):
# This method should really be built into gob somehow.
return (
(group, id)
for group,ids in groups
for id in ids
) | Python | nomic_cornstack_python_v1 |
from keras.datasets import reuters
from keras import models
from keras import layers
import numpy as np
import matplotlib.pyplot as plt
function vectorize_sequences sequences dimension=10000
begin
string Method to vectorize data. Args: sequences (array): An array of newswires as lists of word indices dimension (int, op... | from keras.datasets import reuters
from keras import models
from keras import layers
import numpy as np
import matplotlib.pyplot as plt
def vectorize_sequences(sequences: list, dimension=10000):
"""Method to vectorize data.
Args:
sequences (array): An array of newswires as lists of word indices
... | Python | zaydzuhri_stack_edu_python |
class Trie
begin
function __init__ self
begin
set trie = dict
end function
function addSentence self sentence weight
begin
set trie = trie
set sentence_hash = call hash sentence
for c in sentence
begin
if c not in trie
begin
set trie at c = dict string sentences list ; string freq dict
end
set trie = trie at c
if se... | class Trie:
def __init__(self):
self.trie={}
def addSentence(self,sentence,weight):
trie=self.trie
sentence_hash=hash(sentence)
for c in sentence:
if(c not in trie):
trie[c]={"sentences":[],"freq":{}}
trie=trie[c]
if(sentence_ha... | Python | zaydzuhri_stack_edu_python |
function drop self
begin
set being = subject
set items = get body
if items
begin
set item = items at 0
call move_item_from_being_to_map item being
raise call Handled
end
end function | def drop(self):
being = self.subject
items = being.body.get()
if items:
item = items[0]
self.session.hax2.move_item_from_being_to_map(item, being)
raise event.Handled() | Python | nomic_cornstack_python_v1 |
comment input of dict_list can be taken from user also
set dict_list = list dict string name string affirm ; string confidence 0.9448149204254 dict string name string affirm ; string confidence 0.944814920425415 dict string name string inform ; string confidence 0.9842240810394287 dict string name string inform ; strin... | #input of dict_list can be taken from user also
dict_list=[{'name': 'affirm', 'confidence': 0.9448149204254}, {'name': 'affirm', 'confidence': 0.944814920425415}, {'name': 'inform', 'confidence': 0.9842240810394287}, {'name': 'inform', 'confidence': 0.9842240810394287}]
output = []
for dict in dict_list:
f=0
... | Python | zaydzuhri_stack_edu_python |
function __init__ self pattern flags=0
begin
if flags
begin
set str_flags = call decodeflags flags
set pattern = string (?%s:%s) % tuple str_flags pattern
end
call __init__ pattern
end function | def __init__(self, pattern, flags=0):
if flags:
str_flags = hre.decodeflags(flags)
pattern = r"(?%s:%s)"%(str_flags, pattern)
super(Regex, self).__init__(pattern) | Python | nomic_cornstack_python_v1 |
function __repr__ self
begin
return call to_str
end function | def __repr__(self):
return self.to_str() | Python | nomic_cornstack_python_v1 |
function run_captured working_path *cmd check=true
begin
call assert_working_path working_path
set git_cmd = list cmd
insert git_cmd 0 string git
comment type: Dict[str, Any]
set options = dictionary
set options at string stdout = PIPE
set options at string stderr = STDOUT
debug lightgray working_path string $ reset *g... | def run_captured(working_path: Path, *cmd: str, check: bool = True) -> Tuple[int, str]:
assert_working_path(working_path)
git_cmd = list(cmd)
git_cmd.insert(0, "git")
options = dict() # type: Dict[str, Any]
options["stdout"] = subprocess.PIPE
options["stderr"] = subprocess.STDOUT
ui.debug(... | Python | nomic_cornstack_python_v1 |
function preProcessImage imagePath model input_height input_width
begin
set image = call load_img imagePath target_size=tuple input_height input_width
set image = call img_to_array image
set image = reshape np image tuple 1 input_height input_width 3
if model == string VGG16
begin
set image = call preprocess_input imag... | def preProcessImage(imagePath, model, input_height, input_width):
image = I.load_img(imagePath, target_size=(input_height, input_width))
image = I.img_to_array(image)
image = np.reshape(image,(1, input_height, input_width,3))
if model == 'VGG16':
image = preprocess_input(image)
elif model ==... | Python | nomic_cornstack_python_v1 |
import random
comment Returns the user's input
function get_integer message=string Enter a number: reqLength=0
begin
comment Uses try to check in pInput is an integer when converting
try
begin
comment Gets the input
set pInput = input message
comment Checks if reqLength was set
if length pInput == 0
begin
pass
end
else... | import random
# Returns the user's input
def get_integer(message = "Enter a number: ", reqLength = 0):
# Uses try to check in pInput is an integer when converting
try:
# Gets the input
pInput = input(message)
# Checks if reqLength was set
if len(pInput) == 0:
... | Python | zaydzuhri_stack_edu_python |
from params import getParams
from scipy.stats import laplace , norm
from ystockquote import get_price
from operator import mul
from numpy import exp
from bs import BlackScholes
from functools import reduce
class futurePrice
begin
function __init__ self ticker
begin
set ticker = ticker
set params = call getParams ticker... | from params import getParams
from scipy.stats import laplace, norm
from ystockquote import get_price
from operator import mul
from numpy import exp
from bs import BlackScholes
from functools import reduce
class futurePrice():
def __init__(self, ticker):
self.ticker = ticker
params = getParams(tic... | Python | zaydzuhri_stack_edu_python |
function recovery_onchain_dialog self inputs outputs recovery_keypairs
begin
set external_keypairs = none
set invoice = none
comment trusted coin requires this
if call run_hook string abort_send self
begin
return
end
set is_sweep = false
set make_tx = lambda fee_est -> call make_unsigned_transaction coins=inputs output... | def recovery_onchain_dialog(self, inputs, outputs, recovery_keypairs):
external_keypairs = None
invoice = None
# trusted coin requires this
if run_hook('abort_send', self):
return
is_sweep = False
make_tx = lambda fee_est: self.wallet.make_unsigned_transaction... | Python | nomic_cornstack_python_v1 |
function take_screenshot self filepath
begin
call get_screenshot_as_file filepath
end function | def take_screenshot(self, filepath):
self.driver.get_screenshot_as_file(filepath) | Python | nomic_cornstack_python_v1 |
function spam
begin
global eggs
set eggs = 43
print eggs
end function
set eggs = 42
call spam
print eggs | def spam():
global eggs
eggs = 43
print(eggs)
eggs = 42
spam()
print(eggs)
| Python | zaydzuhri_stack_edu_python |
function relative_rate self
begin
return call sink_f_sptr_relative_rate self
end function | def relative_rate(self):
return _qtgui_swig.sink_f_sptr_relative_rate(self) | Python | nomic_cornstack_python_v1 |
from __future__ import division
import numpy as np
import sys
import math
import pandas as pd
function meancov f1
begin
set virginica = list
set versicolor = list
set setosa = list
for each in f1
begin
set classvar = split each string ,
if classvar at 4 == string Iris-virginica
begin
append virginica classvar at sli... | from __future__ import division
import numpy as np
import sys
import math
import pandas as pd
def meancov(f1):
virginica=[]
versicolor=[]
setosa=[]
for each in f1:
classvar=each.split(',')
if(classvar[4]=="Iris-virginica"):
virginica.append(classvar[0:4])
elif(class... | Python | zaydzuhri_stack_edu_python |
function _create_answers_dict self answers_json_path
begin
comment There are no answers in the test dataset
if dataset_type == TEST and not val_test_split
begin
return dict
end
print string Loading VQA answers data from -> answers_json_path
set answers_json = load json open answers_json_path
comment Please note that a... | def _create_answers_dict(self, answers_json_path):
# There are no answers in the test dataset
if self.dataset_type == DatasetType.TEST and not self.val_test_split:
return {}
print('Loading VQA answers data from ->', answers_json_path)
answers_json = json.load(open(answers_j... | Python | nomic_cornstack_python_v1 |
function add_counters_for_all_exercises df exercises counters time_windows
begin
for exercise_code in call tqdm exercises desc=string Adding the counters for { length exercises } exercises
begin
set df = call add_exercise_code_counters_for_each_time_window df exercise_code counters time_windows
end
return df
end functi... | def add_counters_for_all_exercises(
df: pd.DataFrame, exercises: tuple, counters: tuple, time_windows: tuple
) -> pd.DataFrame:
for exercise_code in tqdm(
exercises, desc=f"Adding the counters for {len(exercises)} exercises"
):
df = add_exercise_code_counters_for_each_time_window(
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
comment Introduction to Programming Exercises.
comment Exercise :Area of a Field.
string Create a program that reads the lenght and width of a farmer's field from the user in feet. Display the area of the field in acres. Hint: There are 43,560 square feet in a... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Introduction to Programming Exercises.
# Exercise :Area of a Field.
"""
Create a program that reads the lenght and width of a farmer's field from the
user in feet. Display the area of the field in acres.
Hint: There are 43,560 square feet in an acre.
"""
ACRE = 4356... | Python | zaydzuhri_stack_edu_python |
function string_to_float string
begin
set _SCALE_FACTOR_DICT = dict string P 1000000000000000.0 ; string T 1000000000000.0 ; string G 1000000000.0 ; string M 1000000.0 ; string K 1000.0 ; string k 1000.0 ; string _ 1 ; string % 0.01 ; string c 0.01 ; string m 0.001 ; string u 1e-06 ; string n 1e-09 ; string p 1e-12 ; s... | def string_to_float(string):
_SCALE_FACTOR_DICT = {'P':1e15, 'T':1e12, 'G':1e9, 'M':1e6, 'K':1e3, 'k':1e3,
'_':1, '%':1e-2, 'c':1e-2, 'm':1e-3, 'u':1e-6, 'n':1e-9,
'p':1e-12, 'f':1e-15, 'a':1e-18, 'z':1e-21, 'y':1e-24}
if (type(string) == float) or (type(strin... | Python | nomic_cornstack_python_v1 |
function get_ali_and_center self
begin
return list comprehension tuple v call get_center f for tuple f v in enumerate data
end function | def get_ali_and_center(self):
return [(v, self.get_center(f)) \
for f, v in enumerate(self.data)] | Python | nomic_cornstack_python_v1 |
function pop self
begin
if call is_empty
begin
raise EmptyError
end
set ptr = ptr - 1
return stk at ptr
end function | def pop(self) -> Any:
if self.is_empty():
raise FixedStack.EmptyError
self.ptr -= 1
return self.stk[self.ptr] | Python | nomic_cornstack_python_v1 |
function query self
begin
set uri = call genuri string gateway-service
set queryobject = call GatewayServiceQuery connection uri
return queryobject
end function | def query(self):
uri = common.genuri('gateway-service')
queryobject = nvpquery.GatewayServiceQuery(self.connection, uri)
return queryobject | Python | nomic_cornstack_python_v1 |
function test_allowed_filings_blocker_filing_incomplete monkeypatch app session jwt test_name state legal_types username roles filing_statuses expected
begin
set token = call helper_create_jwt jwt roles=roles username=username
set headers = dict string Authorization string Bearer + token
comment pylint: disable=unused-... | def test_allowed_filings_blocker_filing_incomplete(monkeypatch, app, session, jwt, test_name, state, legal_types,
username, roles, filing_statuses, expected):
token = helper_create_jwt(jwt, roles=roles, username=username)
headers = {'Authorization': 'Bearer ' +... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Sun Jul 8 12:40:05 2018 @author: Milton
comment %%
import pandas as pd
import numpy as np
set frames = list
comment Cargo los excels en una nueva matriz
comment Dentro de Range hay que poner el número de matrices que tengo, 17 para chile, 1 para Colombia
for i in range 2... | # -*- coding: utf-8 -*-
"""
Created on Sun Jul 8 12:40:05 2018
@author: Milton
"""
#%%
import pandas as pd
import numpy as np
frames = []
#Cargo los excels en una nueva matriz
for i in range(2): #Dentro de Range hay que poner el número de matrices que tengo, 17 para chile, 1 para Colombia
df = pd.re... | Python | zaydzuhri_stack_edu_python |
function parseProgress self line
begin
if not progress
begin
return none
end
set prog = call _parseLine progress line
if not prog
begin
return none
end
set prog_val = 0.0
if prog at - 1 == string %
begin
try
begin
set prog_val = call literal_eval prog at slice : - 1 :
end
except tuple ValueError SyntaxError
begin
pass... | def parseProgress(self, line):
if not self.progress:
return None
prog = self._parseLine(self.progress, line)
if not prog:
return None
prog_val = 0.0
if prog[-1] == '%':
try:
prog_val = literal_eval(prog[:-1])
exc... | Python | nomic_cornstack_python_v1 |
string Created on Nov 4, 2016 @author: Stefan
class Student
begin
function __init__ self stud_id name group
begin
string Constructor
set __stud_id = stud_id
set __name = name
set __group = group
end function
decorator property
function stud_id self
begin
return __stud_id
end function
decorator setter
function stud_id s... | '''
Created on Nov 4, 2016
@author: Stefan
'''
class Student:
def __init__(self, stud_id, name, group):
'''
Constructor
'''
self.__stud_id = stud_id
self.__name = name
self.__group = group
@property
def stud_id(self):
return sel... | Python | zaydzuhri_stack_edu_python |
function _get_metrics_computers self
begin
if is_classification_model
begin
return call ModuleList list call Accuracy05 call AccuracyAtOptimalThreshold call OptimalThreshold call FalsePositiveRateOptimalThreshold call FalseNegativeRateOptimalThreshold call AreaUnderRocCurve call AreaUnderPrecisionRecallCurve call Binar... | def _get_metrics_computers(self) -> ModuleList:
if self.is_classification_model:
return ModuleList([Accuracy05(),
AccuracyAtOptimalThreshold(),
OptimalThreshold(),
FalsePositiveRateOptimalThreshold(),
... | Python | nomic_cornstack_python_v1 |
class Character
begin
comment Create a character
function __init__ self char_name char_description
begin
set name = char_name
set description = char_description
set conversation = none
set direction = none
end function
comment Describe this character
function describe self
begin
print name + string is here!
print descr... | class Character():
# Create a character
def __init__(self, char_name, char_description):
self.name = char_name
self.description = char_description
self.conversation = None
self.direction = None
# Describe this character
def describe(self):
print( self.name + " is... | Python | zaydzuhri_stack_edu_python |
function __build_snmpv3_user self target
begin
comment default object is blank
set user = dict
if string user in target
begin
set user = target at string user
end
comment get username
set name = get user string username string
comment get the authentication key
set auth_key = none
if string auth_key in user
begin
set ... | def __build_snmpv3_user(self, target):
# default object is blank
user = {}
if "user" in target:
user = target["user"]
# get username
name = user.get("username", "")
# get the authentication key
auth_key = None
if "auth_key" in user:
... | Python | nomic_cornstack_python_v1 |
comment !/home/maharshmellow/anaconda3/bin/python3.5
comment -*- coding: UTF-8 -*-
import cgitb
import cgi
import os
from formatWord import formatWord
import pickle
from subprocess import Popen , PIPE , DEVNULL
call enable
print string Content-Type: text/html;charset=utf-8
print
comment sets the max length of the post ... | #!/home/maharshmellow/anaconda3/bin/python3.5
# -*- coding: UTF-8 -*-
import cgitb
import cgi
import os
from formatWord import formatWord
import pickle
from subprocess import Popen, PIPE, DEVNULL
cgitb.enable()
print("Content-Type: text/html;charset=utf-8")
print()
# sets the max length of the post request (in bytes... | Python | zaydzuhri_stack_edu_python |
comment coding=utf-8
comment Date: 2021/7/1 10:40
from typing import List
comment 执行用时：44 ms, 在所有 Python3 提交中击败了67.23%的用户
comment 内存消耗：14.8 MB, 在所有 Python3 提交中击败了88.24%的用户
class Solution
begin
function numWays self n relation k
begin
set f = list comprehension list comprehension 0 for _ in range n for _ in range k + 1
... | # coding=utf-8
# Date: 2021/7/1 10:40
from typing import List
# 执行用时：44 ms, 在所有 Python3 提交中击败了67.23%的用户
# 内存消耗：14.8 MB, 在所有 Python3 提交中击败了88.24%的用户
class Solution:
def numWays(self, n: int, relation: List[List[int]], k: int) -> int:
f = [[0 for _ in range(n)] for _ in range(k + 1)]
f[0][0] = 1
... | Python | zaydzuhri_stack_edu_python |
function remove_value_from_vocab self vocab
begin
set value = json at string value
set v = find Setting name=vocab
if not v
begin
return tuple string 404
end
try
begin
call remove_value_from_vocab value
end
except RuntimeException as exception
begin
return tuple exception 400
end
return call get_vocab
end function | def remove_value_from_vocab(self, vocab):
value = request.json['value']
v = Setting.find(name=vocab)
if not v:
return '', 404
try:
v.remove_value_from_vocab(value)
except RuntimeException as exception:
return exception, 400
return v.get... | Python | nomic_cornstack_python_v1 |
function lock self value=true
begin
set lock_ = value
return self
end function | def lock(self, value=True):
self.lock_ = value
return self | Python | nomic_cornstack_python_v1 |
import random
set list_elements = list 1 2 3 4 5 6 7
shuffle random list_elements
print list_elements | import random
list_elements = [1,2,3,4,5,6,7]
random.shuffle(list_elements)
print (list_elements)
| Python | flytech_python_25k |
string This is a trivial example of a gitrepo-based profile; The profile source code and other software, documentation, etc. are stored in in a publicly accessible GIT repository (say, github.com). When you instantiate this profile, the repository is cloned to all of the nodes in your experiment, to `/local/repository`... | """This is a trivial example of a gitrepo-based profile; The profile source code and other software, documentation, etc. are stored in in a publicly accessible GIT repository (say, github.com). When you instantiate this profile, the repository is cloned to all of the nodes in your experiment, to `/local/repository`.
... | Python | zaydzuhri_stack_edu_python |
import tensorflow as tf
import numpy as np
set seed = 77
call set_random_seed seed
set x_data = array list list 1 2 1 1 list 2 1 3 2 list 3 1 3 4 list 4 1 5 5 list 1 7 5 5 list 1 2 5 6 list 1 6 6 6 list 1 7 6 7 dtype=float32
set y_data = array list list 0 0 1 list 0 0 1 list 0 0 1 list 0 1 0 list 0 1 0 list 0 1 0 list ... | import tensorflow as tf
import numpy as np
seed = 77
tf.set_random_seed(seed)
x_data = np.array([[1, 2, 1, 1],
[2, 1, 3, 2],
[3, 1, 3, 4],
[4, 1, 5, 5],
[1, 7, 5, 5],
[1, 2, 5, 6],
[1, 6, 6, 6],
[1, 7, 6, 7]], dtype=np.float32)
y_data = np.array(... | Python | zaydzuhri_stack_edu_python |
function _get_sid_counter self
begin
return __sid_counter
end function | def _get_sid_counter(self):
return self.__sid_counter | Python | nomic_cornstack_python_v1 |
function count_unique_words string
begin
comment Remove punctuation marks from the string
set string = replace replace replace replace string string , string string . string string ? string string ! string
comment Split the string into words
set words = split string
comment Create a set to store unique words
set unique... | def count_unique_words(string):
# Remove punctuation marks from the string
string = string.replace(",", "").replace(".", "").replace("?", "").replace("!", "")
# Split the string into words
words = string.split()
# Create a set to store unique words
unique_words = set()
# Iterate over the ... | Python | greatdarklord_python_dataset |
function _state_to_scale self original_state orig_ind remove_mean=false
begin
if scaling is not none
begin
return call trf_mean_and_std original_state scaling at orig_ind remove=remove_mean
end
return original_state
end function | def _state_to_scale(self, original_state: Arr,
orig_ind: int,
remove_mean: bool = False) -> Arr:
if self.scaling is not None:
return trf_mean_and_std(original_state, self.scaling[orig_ind], remove=remove_mean)
return original_state | Python | nomic_cornstack_python_v1 |
comment Question 4
set height_prompt = string So, you want to ride the roller coaster? How tall are you ...?
set height = integer input height_prompt
set can_ride = height >= 120
if can_ride
begin
print string Hop on!
end
else
begin
print string Sorry, not today :(
end | # Question 4
height_prompt = f"So, you want to ride the roller coaster? How tall are you ...? "
height = int(input(height_prompt))
can_ride = height>=120
if can_ride:
print("Hop on!")
else:
print("Sorry, not today :(") | Python | zaydzuhri_stack_edu_python |
function get_desctiptive_name self
begin
set long_name = string year + string + make + string + model
return title long_name
end function | def get_desctiptive_name(self):
long_name = str(self.year) + ' ' + self.make + ' '+self.model
return long_name.title() | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string @author: guardati Problema 4.7 Calcula e imprime el resultado de la serie: 1**1 + 2**2 + 3**3 + … + n**n
set n = integer input string Ingrese el valor de n:
set serie = 0
for i in range 1 n + 1
begin
set serie = serie + i ^ i
end
print string El resultado de la serie es: { serie } | # -*- coding: utf-8 -*-
"""
@author: guardati
Problema 4.7
Calcula e imprime el resultado de la serie:
1**1 + 2**2 + 3**3 + … + n**n
"""
n = int(input('Ingrese el valor de n: '))
serie = 0
for i in range(1, n + 1):
serie += i ** i
print(f'El resultado de la serie es: {serie}') | Python | zaydzuhri_stack_edu_python |
function inet_aton addr
begin
set b = call inet_aton addr
return call unpack string !I b at 0
end function | def inet_aton(addr):
b = socket.inet_aton(addr)
return struct.unpack('!I', b)[0] | Python | nomic_cornstack_python_v1 |
string data_tools module. Contains DataTools class for data-oriented tasks
import os
from datetime import datetime
from typing import Tuple , Optional , Union
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from context import KglToolsContext , KglToolsContextChild
set __all_... | """ data_tools module.
Contains DataTools class for data-oriented tasks
"""
import os
from datetime import datetime
from typing import Tuple, Optional, Union
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from ..context import KglToolsContext, KglToolsContextChild
__all_... | Python | zaydzuhri_stack_edu_python |
function backprop node v
begin
set this_node = node
while this_node is not none
begin
comment change stats
set n = n + 1
set w = w + v
set q = w / n
comment change pointer
set this_node = parent
end
end function | def backprop(node, v):
this_node = node
while this_node is not None:
# change stats
this_node.n += 1
this_node.w += v
this_node.q = this_node.w / this_node.n
# change pointer
this_node = this_node.parent | Python | nomic_cornstack_python_v1 |
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