code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function recall_password cipher_grille ciphered_password
begin
set mystr = string
set mystr = mystr + call find4 cipher_grille ciphered_password
comment rotate 90
set rotate1 = list zip *cipher_grille[::-1]
set mystr = mystr + call find4 rotate1 ciphered_password
comment rotate 90
set rotate2 = list zip *rotate1[::-1]... | def recall_password(cipher_grille, ciphered_password):
mystr = ''
mystr += find4(cipher_grille, ciphered_password)
#rotate 90
rotate1 = list(zip(*cipher_grille[::-1]))
mystr += find4(rotate1, ciphered_password)
#rotate 90
rotate2 = list(zip(*rotate1[::-1]))
mystr += find4(rotate2, ciphe... | Python | zaydzuhri_stack_edu_python |
set tuple n m = map int split input
if m != 1
begin
print 1
end
else
begin
print 2
end | n,m=map(int,input().split())
if(m!=1):
print(1)
else:
print(2) | Python | zaydzuhri_stack_edu_python |
function assign_variable self variable value
begin
call assign_variable variable=variable value=value
end function | def assign_variable(self, variable, value):
self.model.assign_variable(variable=variable, value=value) | Python | nomic_cornstack_python_v1 |
function idf_corpus corpus
begin
comment build idf score for all terms in the corpus
comment first, build a vocab of the corpus
set vocab = set
for document in corpus
begin
set vocab = vocab ? set document
end
comment then, calculate the idf for each term in the vocab
set idf_set = call IdfDict length corpus
for term i... | def idf_corpus(corpus):
#build idf score for all terms in the corpus
#first, build a vocab of the corpus
vocab = set()
for document in corpus:
vocab |= set(document)
#then, calculate the idf for each term in the vocab
idf_set = IdfDict(len(corpus))
for term in vocab:
idf_se... | Python | nomic_cornstack_python_v1 |
function get_courses_by_title request
begin
set body_unicode = decode body string utf-8
set body = loads body_unicode
set courses = filter title__contains=get body string course_title_contain
set response_data = list
for course in courses
begin
append response_data dict string course_title title ; string course_start_... | def get_courses_by_title(request):
body_unicode = request.body.decode('utf-8')
body = json.loads(body_unicode)
courses = Course.objects.filter(title__contains = body.get('course_title_contain'))
response_data = []
for course in courses:
response_data.append({
... | Python | nomic_cornstack_python_v1 |
function cells self
begin
set manager = call _get_manager
set my_cells = get pin_to_cells self list
return list comprehension target for c in my_cells
end function | def cells(self):
manager = self._get_manager()
my_cells = manager.pin_to_cells.get(self, [])
return [c.target for c in my_cells] | Python | nomic_cornstack_python_v1 |
function test_deregister_post_import_hook_after_register_multiple self
begin
comment Enforce a spec so that hasattr doesn't vacuously return True.
set test_hook = call MagicMock spec=list
set test_hook2 = call MagicMock spec=list
call register_post_import_hook string tests.utils.test_module test_hook
call register_post... | def test_deregister_post_import_hook_after_register_multiple(self):
# Enforce a spec so that hasattr doesn't vacuously return True.
test_hook = mock.MagicMock(spec=[])
test_hook2 = mock.MagicMock(spec=[])
register_post_import_hook('tests.utils.test_module', test_hook)
register_po... | Python | nomic_cornstack_python_v1 |
function _forecast_dict_to_obj self forecast_dict forecast_start_date item_id info
begin
raise call NotImplementedError
end function | def _forecast_dict_to_obj(
self,
forecast_dict: Dict,
forecast_start_date: pd.Timestamp,
item_id: Optional[str],
info: Dict,
) -> Forecast:
raise NotImplementedError() | Python | nomic_cornstack_python_v1 |
function cosine_similarity embedding valid_size=16 valid_window=100 device=string cpu
begin
comment Here we're calculating the cosine similarity between some random words and
comment our embedding vectors. With the similarities, we can look at what words are
comment close to our random words.
comment sim = (a . b) / |a... | def cosine_similarity(embedding, valid_size=16, valid_window=100, device='cpu'):
# Here we're calculating the cosine similarity between some random words and
# our embedding vectors. With the similarities, we can look at what words are
# close to our random words.
# sim = (a . b) / |a||b|
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
comment @Time : 2017/10/9 18:24
comment @Author : wangdechang
set n = 22
set primes = list 17 2 3 5 7
set size = length primes
set res = list 0 * n
set times = list 0 * n
set res at 0 = 1
import sys
for i in range 1 n
begin
set min_val = maxsize
for j in range ... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2017/10/9 18:24
# @Author : wangdechang
n = 22
primes = [17, 2, 3, 5, 7]
size = len(primes)
res = [0] * n
times = [0] * n
res[0] = 1
import sys
for i in range(1, n):
min_val = sys.maxsize
for j in range(size):
min_val = min(min_val, primes[j... | Python | zaydzuhri_stack_edu_python |
from utils.audio_experiment_util import *
import wave
import sys
from models.deep_speech import Speech2Text
import numpy as np
function load_audio_file wav_audio_path
begin
set sample_rate = 16000
set fin = open wav_audio_path string rb
set frame_rate = call getframerate
if frame_rate != sample_rate
begin
print format ... | from utils.audio_experiment_util import *
import wave
import sys
from models.deep_speech import Speech2Text
import numpy as np
def load_audio_file(wav_audio_path):
sample_rate = 16000
fin = wave.open(wav_audio_path, 'rb')
frame_rate = fin.getframerate()
if frame_rate != sample_rate:
print(
... | Python | zaydzuhri_stack_edu_python |
function DAVIDenrich database categories user ids ids_bg=none name=string name_bg=string verbose=false p=0.1 n=2
begin
set ids = join string , list comprehension string i for i in ids
set use_bg = 0
if ids_bg is not none
begin
set ids_bg = join string , list comprehension string i for i in ids_bg
end
set _create_defa... | def DAVIDenrich(database, categories, user, ids, ids_bg = None, name = '', name_bg = '', verbose = False, p = 0.1, n = 2):
ids = ','.join([str(i) for i in ids])
use_bg = 0
if ids_bg is not None:
ids_bg = ','.join([str(i) for i in ids_bg])
ssl._create_default_https_context = ssl._create_unverified... | Python | nomic_cornstack_python_v1 |
function test_resultset_error self
begin
with assert raises InfluxDBClientError
begin
call ResultSet dict string series list ; string error string Big error, many problems.
end
end function | def test_resultset_error(self):
with self.assertRaises(InfluxDBClientError):
ResultSet({
"series": [],
"error": "Big error, many problems."
}) | Python | nomic_cornstack_python_v1 |
for i in range n - k + 1
begin
if candle at i < 0 and candle at i + k - 1 > 0
begin
set temp = min absolute candle at i candle at i + k - 1 * 2 + max absolute candle at i candle at i + k - 1
end
else
if candle at i + k - 1 <= 0
begin
set temp = absolute candle at i
end
else
if candle at i >= 0
begin
set temp = candle a... | for i in range(n-k+1):
if candle[i]<0 and candle[i+k-1]>0:
temp=min(abs(candle[i]), candle[i+k-1])*2+max(abs(candle[i]), candle[i+k-1])
elif candle[i+k-1]<=0:
temp=abs(candle[i])
elif candle[i]>=0:
temp=candle[i+k-1]
ans=min(temp, ans)
print(ans) | Python | zaydzuhri_stack_edu_python |
comment /usr/bin/env python
comment encoding: utf-8
string 写法非常精悍。 - 用一个dummy节点表示头，这样子不需要初始化，最后再返回dummy.next - 交换的方式得到当前最小的节点 - l1 or l2的方式得到有效的链表
comment Definition for singly-linked list.
class ListNode
begin
function __init__ self x
begin
set val = x
set next = none
end function
end class
class Solution
begin
functi... | #/usr/bin/env python
#encoding: utf-8
'''
写法非常精悍。
- 用一个dummy节点表示头，这样子不需要初始化，最后再返回dummy.next
- 交换的方式得到当前最小的节点
- l1 or l2的方式得到有效的链表
'''
# Definition for singly-linked list.
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def mergeTwoLists(self, l1, l2):
... | Python | zaydzuhri_stack_edu_python |
comment 有 N 件物品和一个容量为 V 的背包。
comment 第 i 件物品的体积是Ci，价值是Wi。
comment 求解将哪些物品装入背包可使价值总和最大。
comment 子问题：另 f(i, V) 为 前i个元素中所能获取的价值最大值，则有：
comment f(i, V) = max( f(i-1, V), f(i-1, V-items[i])+values[i] )
comment ↑ ↑
comment 放 不放
comment 边界条件：当V小于0或者i<0时，return 0
import functools
set cache = dict
function _cache func
begin
fu... | # 有 N 件物品和一个容量为 V 的背包。
# 第 i 件物品的体积是Ci，价值是Wi。
# 求解将哪些物品装入背包可使价值总和最大。
# 子问题：另 f(i, V) 为 前i个元素中所能获取的价值最大值，则有：
# f(i, V) = max( f(i-1, V), f(i-1, V-items[i])+values[i] )
# ↑ ↑
# 放 不放
# 边界条件：当V小于0或者i<0时，return 0
import functools
cache = {}
def _cache(fu... | Python | zaydzuhri_stack_edu_python |
import json
import requests
class MeetUpDriver extends object
begin
set key = none
set api_url = string https://api.meetup.com
function __init__ self
begin
set key = read line open string api_key.txt
end function
end class | import json
import requests
class MeetUpDriver(object):
key = None
api_url = "https://api.meetup.com"
def __init__(self):
self.key = open("api_key.txt").readline()
| Python | zaydzuhri_stack_edu_python |
comment 2020/02/18 Is a Prime number?
comment 該程式碼將判斷輸入的數字是否為質數
comment 質數的定義:
comment 大於 1 的正整數，且該整數之因數只有 1 與 本身
set num = integer input string 輸入一正整數:
if num == 1
begin
print string 質數為大於 1 的正整數...
end
else
if num > 1
begin
comment 放置因數
set divisor = list
for i in range 1 num + 1
begin
if num % i == 0
begin
append d... | # 2020/02/18 Is a Prime number?
# 該程式碼將判斷輸入的數字是否為質數
#
# 質數的定義:
# 大於 1 的正整數，且該整數之因數只有 1 與 本身
num = int(input('輸入一正整數: '))
if num == 1:
print('質數為大於 1 的正整數...')
elif num > 1:
divisor=[] # 放置因數
for i in range(1, num+1):
if num % i == 0:
divisor.append(i)
if len(divisor) == 2:
... | Python | zaydzuhri_stack_edu_python |
function get_imlist path
begin
return list comprehension join path path f for f in list directory path if ends with f string .JPG
end function | def get_imlist(path):
return [os.path.join(path,f) for f in os.listdir(path) if f.endswith('.JPG')] | Python | nomic_cornstack_python_v1 |
function register_implementation implementation_name expansion_cls node_cls
begin
if not is subclass expansion_cls ExpandTransformation
begin
raise call TypeError format string Expected ExpandTransformation class, got: {} __name__
end
if not is subclass node_cls LibraryNode
begin
raise call TypeError format string Expe... | def register_implementation(implementation_name, expansion_cls, node_cls):
if not issubclass(expansion_cls, ExpandTransformation):
raise TypeError("Expected ExpandTransformation class, got: {}".format(type(node_cls).__name__))
if not issubclass(node_cls, LibraryNode):
raise TypeError("Expected L... | Python | nomic_cornstack_python_v1 |
function ids_samples_get self
begin
return _samples_order
end function | def ids_samples_get(self):
return self._samples_order | Python | nomic_cornstack_python_v1 |
comment %load q01_longest_even_word/build.py
comment Default imports
import sys
import numpy as np
import nltk
call download string punkt
import re
from nltk.tokenize import word_tokenize
comment nltk.download('punkt')
set sentence = string One great way to make predictions about an unfamiliar nonfiction text is to tak... | # %load q01_longest_even_word/build.py
# Default imports
import sys
import numpy as np
import nltk
nltk.download('punkt')
import re
from nltk.tokenize import word_tokenize
#nltk.download('punkt')
sentence='One great way to make predictions about an unfamiliar nonfiction text is to take a walk through the book before re... | Python | zaydzuhri_stack_edu_python |
string Exercicio 41 -
function imc a b c
begin
print string Calculando o imc de { a } , que possui altura { b } e peso em kilos { c }
return c / b * b
end function
function calc_altura
begin
while true
begin
try
begin
set al = input string Informe sua altura em metros:
set al = replace al string , string .
set al = dec... | """
Exercicio 41 -
"""
def imc(a, b, c):
print(f"Calculando o imc de {a}, que possui altura {b} e peso em kilos {c}")
return c / (b * b)
def calc_altura():
while True:
try:
al = input(f"Informe sua altura em metros: ")
al = al.replace(',', '.')
al = float(al)
... | Python | zaydzuhri_stack_edu_python |
function msg self
begin
if string msg in _json
begin
return _json at string msg
end
else
if string detail in _json
begin
return _json at string detail
end
else
begin
return _json
end
end function | def msg(self):
if "msg" in self._json:
return self._json["msg"]
elif "detail" in self._json:
return self._json["detail"]
else:
return self._json | Python | nomic_cornstack_python_v1 |
import torch.nn as nn
import torch.nn.functional as F
class TripletNet extends Module
begin
function __init__ self embedding_net
begin
call __init__
set embedding_net = embedding_net
end function
function forward self x y z
begin
set embedded_x = call embedding_net x
set embedded_y = call embedding_net y
set embedded_z... | import torch.nn as nn
import torch.nn.functional as F
class TripletNet(nn.Module):
def __init__(self, embedding_net):
super(TripletNet, self).__init__()
self.embedding_net = embedding_net
def forward(self, x, y, z):
embedded_x = self.embedding_net(x)
embedded_y = self.embeddin... | Python | zaydzuhri_stack_edu_python |
import time
comment from locust import HttpUser, task, between
from locust import HttpUser , task , constant
comment See https://docs.locust.io/en/stable/quickstart.html
class QuickstartUser extends HttpUser
begin
comment the simulated users wait between 1 and 2.5 seconds after each task (see below) is executed.
commen... | import time
#from locust import HttpUser, task, between
from locust import HttpUser, task, constant
# See https://docs.locust.io/en/stable/quickstart.html
class QuickstartUser(HttpUser):
# the simulated users wait between 1 and 2.5 seconds after each task (see below) is executed.
#wait_time = between(1, 2.5)... | Python | zaydzuhri_stack_edu_python |
comment dp solution
class Solution extends object
begin
function uniquePathsWithObstacles self obstacleGrid
begin
set tuple m n = tuple length obstacleGrid at 0 length obstacleGrid
set dp = list comprehension list comprehension 0 for _ in call xrange m for _ in call xrange n
for i in call xrange n
begin
for j in call x... | # dp solution
class Solution(object):
def uniquePathsWithObstacles(self, obstacleGrid):
m, n = len(obstacleGrid[0]), len(obstacleGrid)
dp = [[0 for _ in xrange(m)] for _ in xrange(n)]
for i in xrange(n):
for j in xrange(m):
if obstacleGrid[i][j] != 0:
... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
comment !/usr/bin/env python
comment @Time: 2020-05-01 7:52 p.m.
未做
string The letters of the alphabet can be constructed from a moderate number of basic ele- ments, like vertical and horizontal lines and a few curves. Design an alphabet that can be drawn with a minimal number of basic ele... | # -*- coding: utf-8 -*-
# !/usr/bin/env python
# @Time: 2020-05-01 7:52 p.m.
未做
"""The letters of the alphabet can be constructed
from a moderate number of basic ele- ments,
like vertical and horizontal lines and a few curves.
Design an alphabet that can be drawn with a minimal
number of basic elements and then w... | Python | zaydzuhri_stack_edu_python |
comment dict是一種課變容器模型，且可儲存任意類型物件，由(key->value)組成
comment 不允許同一個key出現兩次以上，建立時若同一個key被設定兩次，後值會覆蓋前值
comment key不可變，可用數字、字串、元組，但不可用列表
comment 字典是無序的，元素沒有順序之分(不須透過位置尋找元素)，所以在儲存元素時保持最佳化
comment 建立字典
set dict = dict string name string shizu ; string age 22 ; string sex string male
print string dict['name']: dict at string nam... | # dict是一種課變容器模型，且可儲存任意類型物件，由(key->value)組成
## 不允許同一個key出現兩次以上，建立時若同一個key被設定兩次，後值會覆蓋前值
## key不可變，可用數字、字串、元組，但不可用列表
## 字典是無序的，元素沒有順序之分(不須透過位置尋找元素)，所以在儲存元素時保持最佳化
# 建立字典
dict = {'name':'shizu', 'age':22,'sex':'male'}
print("dict['name']: ", dict['name'])
# 修改字典
dict = {'name':'shizu', 'age':22,'sex':'male'}
dict['name'] ... | Python | zaydzuhri_stack_edu_python |
import sys
from math import *
for line in stdin
begin
set l = split line
set a = integer l at 0
set x = integer l at 1
set y = integer l at 2
comment print a,x,y
set flag = 1
if y % a == 0
begin
set flag = 0
end
set det = y - a
set d = det / 2 * a
set e = det % 2 * a
set ans = 1 + d + 1 * 3
comment print '\t',d,e
comme... | import sys
from math import *
for line in sys.stdin:
l = line.split()
a = int(l[0])
x = int(l[1])
y = int(l[2])
# print a,x,y
flag = 1
if y % a == 0:
flag = 0
det = (y - a)
d = det / ( 2 * a)
e = det % (2 * a)
ans = 1 + (d+1) * 3
#print '\t',d,e
# print ans
if y < a:
if abs(x) >= a / 2.0:
flag = 0
... | Python | zaydzuhri_stack_edu_python |
from db.run_sql import run_sql
from models.booking import Booking
from models.member import Member
import repositories.lesson_repository as lesson_repository
import repositories.member_repository as member_repository
function save booking
begin
set sql = string INSERT INTO bookings (member_id, lesson_id) VALUES (%s, %s... | from db.run_sql import run_sql
from models.booking import Booking
from models.member import Member
import repositories.lesson_repository as lesson_repository
import repositories.member_repository as member_repository
def save(booking):
sql = "INSERT INTO bookings (member_id, lesson_id) VALUES (%s, %s) RETURNING id... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
from sklearn.metrics import accuracy_score , mean_squared_error , log_loss
from tqdm.notebook import trange , tqdm
from IPython.display import HTML
import warnings
import torch
filter warnings string ignore
import torch.nn as nn
import torch.nn.functional as F
from torch import optim
import numpy as... | import pandas as pd
from sklearn.metrics import accuracy_score, mean_squared_error, log_loss
from tqdm.notebook import trange, tqdm
from IPython.display import HTML
import warnings
import torch
warnings.filterwarnings('ignore')
import torch.nn as nn
import torch.nn.functional as F
from torch import optim
import num... | Python | zaydzuhri_stack_edu_python |
comment coding: utf-8
comment In[1]:
from keras.datasets import cifar10
set tuple tuple X_train Y_train tuple X_test Y_test = call load_data
comment # Keras
comment In[2]:
print shape
print shape
comment In[3]:
comment print(X_train[0])
comment In[4]:
comment we have pixel values here let's convert into between 0 and 1... | # coding: utf-8
# In[1]:
from keras.datasets import cifar10
(X_train,Y_train),(X_test,Y_test)=cifar10.load_data()
# # Keras
# In[2]:
print(X_train.shape)
print(X_test.shape)
# In[3]:
#print(X_train[0])
# In[4]:
#we have pixel values here let's convert into between 0 and 1
X_train=X_train/255.0
X_test=X_test... | Python | zaydzuhri_stack_edu_python |
import numpy as np
function calculate_array_sum_and_product N
begin
comment Generate the random array
set arr = random integer - 1000 1001 N
comment Initialize variables for sum and product
set negative_sum = 0
set positive_product = 1
comment Iterate over the array
for num in arr
begin
comment Check if the number is n... | import numpy as np
def calculate_array_sum_and_product(N):
# Generate the random array
arr = np.random.randint(-1000, 1001, N)
# Initialize variables for sum and product
negative_sum = 0
positive_product = 1
# Iterate over the array
for num in arr:
# Check if the number is negativ... | Python | jtatman_500k |
function already_running self
begin
if _already is none
begin
comment Attempt to acquire a lock.
call _acquire_lock
end
return _already
end function | def already_running(self):
if self._already is None:
# Attempt to acquire a lock.
self._acquire_lock()
return self._already | Python | nomic_cornstack_python_v1 |
import numpy as np
seed 0
from sklearn.ensemble import RandomForestClassifier as RFC
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
function classify
begin
set train_features = call genfromtxt string computed_data/train_feature_vectors.csv delimiter=string ,
set train_labels = c... | import numpy as np
np.random.seed(0)
from sklearn.ensemble import RandomForestClassifier as RFC
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
def classify():
train_features = np.genfromtxt('computed_data/train_feature_vectors.csv', delimiter=',')
train_labels = np.gen... | Python | zaydzuhri_stack_edu_python |
string Generate a base64 random string
comment !/usr/bin/python
set __author__ = string dev
import sys , os , base64
comment defaults
set intdeflen = 10
if length argv <= 1
begin
print format string Defaulting to {0} intdeflen
print format string python {0} <length of random base64 string> argv at 0
end
else
begin
try
... | """
Generate a base64 random string
"""
#!/usr/bin/python
__author__ = 'dev'
import sys, os, base64
# defaults
intdeflen = 10
if len(sys.argv) <= 1:
print("Defaulting to {0}".format(intdeflen))
print("python {0} <length of random base64 string>".format(sys.argv[0]))
else:
try:
intdeflen = int(sys... | Python | zaydzuhri_stack_edu_python |
comment Name: Sabur Khan
comment Date: 10/10/19
comment Course: COSC 2316 Fall 2019 (Dr. Shebaro)
comment Program Description: Spanish-English Dictionary
comment Algorithm/Psuedocode ########
comment 1. create function that reads/updates through the dictionary.txt file and stores it into a dictionary, even count will r... | # Name: Sabur Khan
# Date: 10/10/19
# Course: COSC 2316 Fall 2019 (Dr. Shebaro)
# Program Description: Spanish-English Dictionary
######### Algorithm/Psuedocode ########
#1. create function that reads/updates through the dictionary.txt file and stores it into a dictionary, even count will represent english, odd-... | Python | zaydzuhri_stack_edu_python |
function sendEmail message
begin
set message_string = join string message
set recipients = list string nadavo@campus.technion.ac.il string olegzendel@campus.technion.ac.il
set msg = call EmailMessage
set msg at string Subject = string Finished training and predicting MEMM
set msg at string From = string someserver@tec... | def sendEmail(message):
message_string = '\n'.join(message)
recipients = ['nadavo@campus.technion.ac.il', 'olegzendel@campus.technion.ac.il']
msg = EmailMessage()
msg['Subject'] = 'Finished training and predicting MEMM'
msg['From'] = 'someserver@technion.ac.il'
msg['To'] = ', '.join(recipients)
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment coding=utf-8
comment list 列表
set list1 = list 1 2 3 4 5 6
print list1
print string ====================================
set list2 = list 1 1.1 string Test string Fan
print list2
print string ====================================
set list3 = list 2 3 list1
print list3 | #!/usr/bin/env python
#coding=utf-8
#list 列表
list1 = [1, 2,3,4,5,6]
print (list1)
print ("====================================")
list2 = [1, 1.1, 'Test', "Fan"]
print (list2)
print ("====================================")
list3 = [2, 3, list1]
print (list3) | Python | zaydzuhri_stack_edu_python |
function makePermutations n
begin
set half = n // 2
set full = half * 2
set swap = call rand half > 0.5
set px = array range n
set px at slice : full : 2 = px at slice : full : 2 + swap
set px at slice 1 : full : 2 = px at slice 1 : full : 2 - swap
return px
end function | def makePermutations(n):
half = n // 2
full = half * 2
swap = np.random.rand(half) > 0.5
px = np.arange(n)
px[:full:2] += swap
px[1:full:2] -= swap
return px | Python | nomic_cornstack_python_v1 |
class Solution
begin
function findAnagrams self s p
begin
set base = dict
set indices = list
for val in p
begin
if val not in base
begin
set base at val = 0
end
set base at val = base at val + 1
end
set length = length p
set word = dict
for i in range 0 length s
begin
set current = s at slice i : i + length :
comme... | class Solution:
def findAnagrams(self, s: str, p: str) -> List[int]:
base = {}
indices = []
for val in p:
if val not in base:
base[val]= 0
base[val] += 1
length = len(p)
word = {}
for i in range(0,len(s)):
current = ... | Python | zaydzuhri_stack_edu_python |
string Markup database type Converts to string on bind. Returns Markup on process result.
from flask import Markup
from sqlalchemy.types import Text , TypeDecorator
class MarkupType extends TypeDecorator
begin
set impl = Text
function process_bind_param self value dialect
begin
return if expression value is not none th... | """Markup database type
Converts to string on bind. Returns Markup on process result.
"""
from flask import Markup
from sqlalchemy.types import Text, TypeDecorator
class MarkupType(TypeDecorator):
impl = Text
def process_bind_param(self, value, dialect):
return str(value) if value is not None else ... | Python | zaydzuhri_stack_edu_python |
function stochastic_neighborSameType agent otherAgent cutoff=1
begin
set result = type == type and name != name
set draw = random
if draw > cutoff
begin
return 0
end
else
begin
return 1 * result
end
end function | def stochastic_neighborSameType(agent, otherAgent, cutoff=1):
result = agent.type == otherAgent.type \
and agent.name != otherAgent.name
draw = np.random.random()
if draw > cutoff:
return 0
else:
return 1*result | Python | nomic_cornstack_python_v1 |
comment @lc app=leetcode id=763 lang=python3
comment [763] Partition Labels
comment @lc code=start
class Solution
begin
function partitionLabels self S
begin
set last = dictionary comprehension c : i for tuple i c in enumerate S
set output = list
set anchor = 0
set end = 0
for tuple i c in enumerate S
begin
set end = ... | #
# @lc app=leetcode id=763 lang=python3
#
# [763] Partition Labels
#
# @lc code=start
class Solution:
def partitionLabels(self, S: str) -> List[int]:
last = {c: i for i, c in enumerate(S)}
output = []
anchor = end = 0
for i, c in enumerate(S):
end = max(end, last[c])
... | Python | zaydzuhri_stack_edu_python |
comment BOJ13549 숨바꼭질3 20210511
import sys
from collections import deque
set input = readline
function main
begin
set tuple n k = map int split right strip input
set q = deque
if n > k
begin
return print n - k
end
append q tuple n 0
set visited = dict
set visited at n = 0
set f = list lambda x -> x - 1 lambda x -> x +... | #BOJ13549 숨바꼭질3 20210511
import sys
from collections import deque
input = sys.stdin.readline
def main():
n, k = map(int,input().rstrip().split())
q = deque()
if n > k:
return print(n-k)
q.append((n,0))
visited = {}
visited[n] = 0
f = [lambda x: x-1, lambda x: x+1, lambda x:2*x]
... | Python | zaydzuhri_stack_edu_python |
function build_input_files filename base_path=string input_files out=stdout
begin
set calling_dir = get current directory
comment I'm doing this because I need it later
set tuple file_path file_name = split path filename
with open filename string r as f
begin
set txt = read f
end
comment First Parse the FDS file
set tu... | def build_input_files(filename, base_path = 'input_files', out = sys.stdout):
calling_dir = os.getcwd()
# I'm doing this because I need it later
file_path, file_name = os.path.split(filename)
with open(filename, 'r') as f:
txt = f.read()
## First Parse the FDS file
param_d... | Python | nomic_cornstack_python_v1 |
function validateEdge cls start_socket end_socket
begin
for validator in call getEdgeValidators
begin
if not call validator start_socket end_socket
begin
return false
end
end
return true
end function | def validateEdge(cls, start_socket: 'Socket', end_socket: 'Socket') -> bool:
for validator in cls.getEdgeValidators():
if not validator(start_socket, end_socket):
return False
return True | Python | nomic_cornstack_python_v1 |
function score self
begin
return integer property3
end function | def score(self):
return int(self.property3) | Python | nomic_cornstack_python_v1 |
function pos3dTo2dWindow _pos
begin
set proj = call pos3dTo2dViewport _pos
if proj is not none
begin
return tuple integer proj at 0 / 2.0 + 0.5 * width integer 1 - proj at 1 / 2.0 + 0.5 * height
end
return none
end function | def pos3dTo2dWindow(_pos):
proj = pos3dTo2dViewport(_pos)
if proj is not None:
return int((proj[0] / 2.0 + 0.5) * Window.width), int( (1 - (proj[1] / 2.0 + 0.5)) * Window.height)
return None | Python | nomic_cornstack_python_v1 |
import sys
append path string /Users/Timothy/Code/Poloniex/trading_bot/python
import requests
import threading
import imp
import time
from api.poloniex_wrapper import poloniex
from constants.api_key import API_KEY , SECRET_KEY
comment poloniex
class macd_bot extends Thread
begin
function __init__ self polo pair
begin
c... | import sys
sys.path.append("/Users/Timothy/Code/Poloniex/trading_bot/python")
import requests
import threading
import imp
import time
from api.poloniex_wrapper import poloniex
from constants.api_key import API_KEY, SECRET_KEY
#poloniex
class macd_bot(threading.Thread):
def __init__(self, polo, pair):
super().__in... | Python | zaydzuhri_stack_edu_python |
comment Imports
print string Welcome to Drowsiness Script
import os
import argparse
from PreprocessOneVideo import Preprocessing
comment from blink_video import blink_detector
from Prediction import Predict
print string Import successfully
comment adjust video path here
set video_path_global = string ./Videos/Müdigkeit... | # Imports
print("Welcome to Drowsiness Script")
import os
import argparse
from PreprocessOneVideo import Preprocessing
#from blink_video import blink_detector
from Prediction import Predict
print("Import successfully")
# adjust video path here
video_path_global = "./Videos/Müdigkeit_Video_ingrid.mov"
# Kalibrierungsvi... | Python | zaydzuhri_stack_edu_python |
import json
from abc import abstractmethod
class BaseDBConnector extends object
begin
function __init__ self config_path
begin
set config = call load_config_file config_path
end function
decorator staticmethod
function load_config_file config_path
begin
with open config_path as json_file
begin
set data = load json json... | import json
from abc import abstractmethod
class BaseDBConnector(object):
def __init__(self, config_path):
self.config = self.load_config_file(config_path)
@staticmethod
def load_config_file(config_path):
with open(config_path) as json_file:
data = json.load(json_file)
... | Python | zaydzuhri_stack_edu_python |
from enum import Enum
from src.data.cardConfig import simple_game
import random
class CardPackage
begin
function __init__ self
begin
set all_cards = simple_game
end function
function random_card self
begin
set element = random choice all_cards
remove all_cards element
return element
end function
function distribute_car... | from enum import Enum
from src.data.cardConfig import simple_game
import random
class CardPackage:
def __init__(self):
self.all_cards = simple_game
def random_card(self):
element = random.choice(self.all_cards)
self.all_cards.remove(element)
return element
def distri... | Python | zaydzuhri_stack_edu_python |
comment TODO: Copy all of your 04-Drawing.py program and put it below this comment.
comment My first Pygame program.
comment Authors: Many people and Saujin
import pygame
import sys
set screenSize = tuple 640 480
set backroundcolor = tuple 0 200 220
set circlecolor = tuple 0 0 0
set circleradius = 20
set rectY = 100
se... | # TODO: Copy all of your 04-Drawing.py program and put it below this comment.
# My first Pygame program.
# Authors: Many people and Saujin
import pygame
import sys
screenSize = (640,480)
backroundcolor = (0,200,220)
circlecolor = (0,0,0)
circleradius = 20
rectY = 100
rectspeed = 5
pygame.init()
screen = pygame... | Python | zaydzuhri_stack_edu_python |
function evaluate_simple embeddings labels normalize=false standardize=false alpha=0.5
begin
set tuple N dim = shape
if normalize
begin
set embeddings = embeddings / reshape norm embeddings axis=1 - 1 1
end
if standardize
begin
set mu = mean np embeddings axis=0
set std = standard deviation np embeddings axis=0 + tiny
... | def evaluate_simple(embeddings, labels, normalize=False, standardize=False, alpha=0.5):
N, dim = embeddings.shape
if normalize:
embeddings /= np.linalg.norm(embeddings, axis=1).reshape(-1,1)
if standardize:
mu = np.mean(embeddings, axis=0)
std = np.std(embeddings, axis=0) + np.finfo... | Python | nomic_cornstack_python_v1 |
from scipy.sparse import lil_matrix
from scipy.spatial import distance
function convert_values_to_float cntr
begin
for tuple k v in items cntr
begin
set cntr at k = decimal v
end
end function
function mtx_from_cntrs cntrs
begin
comment Convert all the values in the counters to floats
for i in range length cntrs
begin
c... | from scipy.sparse import lil_matrix
from scipy.spatial import distance
def convert_values_to_float(cntr):
for k, v in cntr.items():
cntr[k] = float(v)
def mtx_from_cntrs(cntrs):
# Convert all the values in the counters to floats
for i in range(len(cntrs)):
convert_values_to_float(cntrs[i]... | Python | zaydzuhri_stack_edu_python |
import logging
import threading
import time
from queue import Queue
import visa
from pyvisa import VisaIOError
call basicConfig level=DEBUG format=string (%(threadName)-9s) %(message)s
class Agilent33220A
begin
function __init__ self BUF_SIZE=10
begin
set command_queue = queue BUF_SIZE
set c = call ConsumerThread comma... | import logging
import threading
import time
from queue import Queue
import visa
from pyvisa import VisaIOError
logging.basicConfig(level=logging.DEBUG,
format='(%(threadName)-9s) %(message)s')
class Agilent33220A():
def __init__(self, BUF_SIZE=10):
self.command_queue = Queue(BUF_SIZE)... | Python | zaydzuhri_stack_edu_python |
function writeIndented self text
begin
write self oneIndent * indentLevel + text
end function | def writeIndented(self,text):
self.write(self.oneIndent*self.indentLevel + text) | Python | nomic_cornstack_python_v1 |
for i in range 3
begin
if a at i > b at i
begin
set A = A + 1
end
else
if a at i < b at i
begin
set B = B + 1
end
end
print string A + string + string B | for i in range(3):
if a[i] > b[i]:
A += 1
elif a[i] < b[i]:
B += 1
print(str(A) + ' ' + str(B)) | Python | zaydzuhri_stack_edu_python |
function coding_strand_to_AA dna
begin
set h = length dna
set dna_list = list dna
set aminoacid = list
set aminoacid_s = string
for i in range 0 h 3
begin
try
begin
set codon = dna_list at i + dna_list at i + 1 + dna_list at i + 2
end
except IndexError
begin
break
end
set amino_acid = aa_table at codon
set aminoacid ... | def coding_strand_to_AA(dna):
h= len(dna)
dna_list= list(dna)
aminoacid=[]
aminoacid_s =""
for i in range(0, h, 3):
try:
codon=dna_list[i]+dna_list[i+1]+dna_list[i+2]
except IndexError:
break
amino_acid=aa_table[codon]
aminoacid+=amino_acid
... | Python | nomic_cornstack_python_v1 |
function GetUseLookupTable self
begin
return call itkAdaptiveHistogramEqualizationImageFilterISS3_GetUseLookupTable self
end function | def GetUseLookupTable(self) -> "bool":
return _itkAdaptiveHistogramEqualizationImageFilterPython.itkAdaptiveHistogramEqualizationImageFilterISS3_GetUseLookupTable(self) | Python | nomic_cornstack_python_v1 |
for letter in upper att
begin
set total_att = total_att + ordinal letter
end
for letter in upper itl
begin
set total_itl = total_itl + ordinal letter
end
for letter in upper klg
begin
set total_klg = total_klg + ordinal letter
end
print format string Total of Attitude is: {} total_att / length att
print format string T... | for letter in att.upper():
total_att += ord(letter)
for letter in itl.upper():
total_itl += ord(letter)
for letter in klg.upper():
total_klg += ord(letter)
print("Total of Attitude is: {}".format(total_att/len(att)))
print("Total of Intelligent is: {}".format(total_itl/len(itl)))
print("Total of Knowledge ... | Python | zaydzuhri_stack_edu_python |
comment Copyright (C) 2019 Fajar prasetio <fajarprstyo05@gmail.com>
import urllib , os , random
from core.percuma_logging import *
function get_good_filename filename
begin
comment ceated this method because our program may not differenciate between the of the / in the URL and the / in the directories"
set buf = string... | # Copyright (C) 2019 Fajar prasetio <fajarprstyo05@gmail.com>
#
import urllib, os, random
from core.percuma_logging import *
def get_good_filename(filename):
#ceated this method because our program may not differenciate between the of the / in the URL and the / in the directories"
buf = ""
for c in filen... | Python | zaydzuhri_stack_edu_python |
for i in range length s
begin
for j in range i length s
begin
if call issubset set literal string A string C string G string T
begin
set max_l = max max_l j + 1 - i
end
end
end
print max_l | for i in range(len(s)):
for j in range(i, len(s)):
if set(s[i:j+1]).issubset({'A', 'C', 'G', 'T'}):
max_l = max(max_l, j+1 - i)
print(max_l)
| Python | zaydzuhri_stack_edu_python |
function add_op2_data cls data comment=string
begin
set sid = data at 0
set node = data at 1
set mag = data at 2
set g1 = data at 3
set g2 = data at 4
set g3 = data at 5
set g4 = data at 6
return call cls sid node mag g1 g2 g3 g4 comment=comment
end function | def add_op2_data(cls, data, comment=''):
sid = data[0]
node = data[1]
mag = data[2]
g1 = data[3]
g2 = data[4]
g3 = data[5]
g4 = data[6]
return cls(sid, node, mag, g1, g2, g3, g4, comment=comment) | Python | nomic_cornstack_python_v1 |
function make_path params
begin
if not is directory path result_path
begin
make directories result_path
end
if not is directory path ckpt_path
begin
make directories ckpt_path
end
if not is directory path string log
begin
make directories string log
end
end function | def make_path(params):
if not os.path.isdir(params.result_path):
os.makedirs(params.result_path)
if not os.path.isdir(params.ckpt_path):
os.makedirs(params.ckpt_path)
if not os.path.isdir("log"):
os.makedirs("log") | Python | nomic_cornstack_python_v1 |
function delete_folder folder_id
begin
if method == string DELETE
begin
set connection = call connect
set cursor = call cursor
try
begin
execute cursor string DELETE FROM `folder` WHERE id = %s folder_id
commit connection
close cursor
close connection
return string Success
end
except MySQLError
begin
close cursor
close... | def delete_folder(folder_id):
if request.method == 'DELETE':
connection = mysql.connect()
cursor = connection.cursor()
try:
cursor.execute("DELETE FROM `folder` WHERE id = %s", folder_id)
connection.commit()
cursor.close()
connection.close()
... | Python | nomic_cornstack_python_v1 |
function prime_factorization number
begin
set i = 2
set factors = list
while i * i <= number
begin
if number % i
begin
set i = i + 1
end
else
begin
set number = number // i
append factors i
end
end
if number > 1
begin
append factors number
end
return factors
end function
call prime_factorization number | def prime_factorization(number):
i = 2
factors = []
while i * i <= number:
if number % i:
i += 1
else:
number //= i
factors.append(i)
if number > 1:
factors.append(number)
return factors
prime_factorization(number) | Python | jtatman_500k |
function test_binary_search_odd_inputs
begin
set array = list 1 2 3 4 5
set pos = call search_in_ordered_array array 4
assert pos == 3
end function | def test_binary_search_odd_inputs():
array = [1, 2, 3, 4, 5]
pos = search_in_ordered_array(array, 4)
assert pos == 3 | Python | nomic_cornstack_python_v1 |
comment Title: gateway.py
comment Author: Luke McEvoy
comment Created: May 18, 2020
comment Summary: Optimized space between passengers on mass transit
from algorithms import *
comment Function when row count is multiple of one
function single rows cols passengers seats capacity_percentage
begin
call A_dynamic rows col... | # Title: gateway.py
# Author: Luke McEvoy
# Created: May 18, 2020
# Summary: Optimized space between passengers on mass transit
from algorithms import *
# Function when row count is multiple of one
def single(rows, cols, passengers, seats, capacity_percentage):
A_dynamic(rows, cols, passengers, seats)
# Functi... | Python | zaydzuhri_stack_edu_python |
function tokenize text
begin
return split upper text
end function | def tokenize(text: str) -> list[str]:
return text.upper().split()
| Python | zaydzuhri_stack_edu_python |
import pandas as pa
import numpy as np
import matplotlib.pyplot as plt
set x = linear space 0 20 1000
set y = sin x
plot x y label=string My First Application
title plt string My simple data display
x label string X axis
y label string Y axis
grid true
call figtext 0.995 0.01 string Footnote ha=string right va=string b... | import pandas as pa
import numpy as np
import matplotlib.pyplot as plt
x=np.linspace(0,20,1000)
y=np.sin(x)
plt.plot(x,y,label="My First Application")
plt.title("My simple data display")
plt.xlabel("X axis")
plt.ylabel("Y axis")
plt.grid(True)
plt.figtext(0.995,0.01,'Footnote',ha='right',va='bottom')
plt.le... | Python | zaydzuhri_stack_edu_python |
string class for encoding and decoding jwt
from jwt import encode as encode_jwt
from jwt import decode as decode_jwt
from jwt.exceptions import InvalidSignatureError , ExpiredSignatureError , InvalidTokenError
class JWT
begin
string class that represents jwt encode/decoder
function __init__ self refresh_secret access_s... | """class for encoding and decoding jwt"""
from jwt import encode as encode_jwt
from jwt import decode as decode_jwt
from jwt.exceptions import InvalidSignatureError, ExpiredSignatureError, InvalidTokenError
class JWT:
"""class that represents jwt encode/decoder"""
def __init__(self, refresh_secret: str, access... | Python | zaydzuhri_stack_edu_python |
comment Create a ParametricHenneberg mesh.
import pyvista
set mesh = call ParametricHenneberg
plot color=string w smooth_shading=true | # Create a ParametricHenneberg mesh.
#
import pyvista
mesh = pyvista.ParametricHenneberg()
mesh.plot(color='w', smooth_shading=True)
| Python | zaydzuhri_stack_edu_python |
function textify html
begin
comment Remove html tags and continuous whitespaces
set text_only = sub string [ ]+ string call strip_tags html
comment Strip single spaces in the beginning of each line
return strip replace text_only string string
end function | def textify(html: str) -> str:
# Remove html tags and continuous whitespaces
text_only = re.sub("[ \t]+", " ", strip_tags(html))
# Strip single spaces in the beginning of each line
return text_only.replace('\n ', '\n').strip() | Python | nomic_cornstack_python_v1 |
import goslate
set text = input string Enter your text:
set gs = call Goslate
set translateText = call translate text string fr
print translateText | import goslate
text=input("Enter your text:")
gs=goslate.Goslate()
translateText=gs.translate(text,'fr')
print(translateText)
| Python | zaydzuhri_stack_edu_python |
import hashlib
set string_data = input string Enter string data:
set result = md5 encode string_data
print string The hash is
print string hash in byte foramt
print call digest
print string hash in hexadecimal format
print hex digest result | import hashlib
string_data = input("Enter string data: ")
result = hashlib.md5(string_data.encode())
print("The hash is ")
print("hash in byte foramt")
print(result.digest())
print("hash in hexadecimal format")
print(result.hexdigest())
| Python | zaydzuhri_stack_edu_python |
function __call__ self inputs state scope=none
begin
return call __call__ inputs state scope or _name
end function | def __call__(self, inputs, state, scope=None):
return super(StackedRNNCell, self).__call__(
inputs, state, (scope or self._name)) | Python | nomic_cornstack_python_v1 |
function a_update n
begin
return n * 16807 % 2147483647
end function
function b_update n
begin
return n * 48271 % 2147483647
end function
set N = 40000000
set count = 0
set a_tmp = a
set b_tmp = b
for i in range N
begin
set a_tmp = call a_update a_tmp
set b_tmp = call b_update b_tmp
if a_tmp ? 65535 == b_tmp ? 65535
be... | def a_update(n):
return (n * 16807) % 2147483647
def b_update(n):
return (n * 48271) % 2147483647
N = 40000000
count = 0
a_tmp = a
b_tmp = b
for i in range(N):
a_tmp = a_update(a_tmp)
b_tmp = b_update(b_tmp)
if (a_tmp & 0xffff) == (b_tmp & 0xffff):
count += 1
print(count)
N = 5000000
count = 0
a_tmp... | Python | zaydzuhri_stack_edu_python |
function fib a b
begin
return tuple b a + b
end function
set a = 1
set b = 2
set ans = 2
while b < 4 * 10 ^ 6
begin
set tuple a b = call fib a b
set ans = if expression b % 2 == 0 then ans + b else ans
end | def fib(a, b):
return (b, a+b)
a = 1
b = 2
ans = 2
while (b < 4*10**6):
a, b = fib(a, b)
ans = ans + b if b%2 ==0 else ans
| Python | zaydzuhri_stack_edu_python |
function mysum x y
begin
print x + y
end function
call mysum 1 2
call mysum string 1 string 2
function print_even n
begin
for i in range 2 n 2
begin
print i
end
end function
call print_even 10 | def mysum(x,y):
print(x + y)
mysum(1,2)
mysum('1','2')
def print_even(n):
for i in range(2,n,2):
print(i)
print_even(10)
| Python | zaydzuhri_stack_edu_python |
function sadd self *args
begin
if _cluster
begin
return execute self string SADD *args shard_key=args at 0
end
return execute self string SADD *args
end function | def sadd(self, *args):
if self._cluster:
return self.execute(u'SADD', *args, shard_key=args[0])
return self.execute(u'SADD', *args) | Python | nomic_cornstack_python_v1 |
function memoize fun
begin
decorator wraps fun
function wrapper *args **kwargs
begin
set key = tuple args call frozenset sorted items kwargs
end function
end function | def memoize(fun):
@wraps(fun)
def wrapper(*args, **kwargs):
key = (args, frozenset(sorted(kwargs.items()))) | Python | nomic_cornstack_python_v1 |
function get self request slug
begin
comment Find article
set article = call find_article_helper slug
comment Find all reactions on this article
try
begin
set article_reactions = filter article=article
set formatted_reactions = list comprehension call format_response reaction for reaction in article_reactions
set respo... | def get(self, request, slug):
# Find article
article = find_article_helper(slug)
# Find all reactions on this article
try:
article_reactions = UserReaction.objects.filter(
article=article)
formatted_reactions = [
format_response(re... | Python | nomic_cornstack_python_v1 |
function update_user_data user_id **data
begin
set user_data = call get_user_data user_id
update user_data data
call put_user_data user_id keyword user_data
return true
end function | def update_user_data(user_id, **data):
user_data = get_user_data(user_id)
user_data.update(data)
put_user_data(user_id, **user_data)
return True | Python | nomic_cornstack_python_v1 |
comment coding: utf-8
set alunos = integer input
set notas = list map int split input string
set notas = sorted notas
comment frequencia modal
set frequencia1 = 0
comment frequencia do número i
set frequencia2 = 0
set moda = 0
for i in notas
begin
if frequencia1 == 0 and frequencia2 == 0 and moda == 0
begin
set moda = ... | # coding: utf-8
alunos = int(input())
notas = list(map(int, input().split(' ')))
notas = sorted(notas)
frequencia1 = 0 # frequencia modal
frequencia2 = 0 # frequencia do número i
moda = 0
for i in notas:
if frequencia1 == 0 and frequencia2 == 0 and moda == 0:
moda = i
frequencia1 = notas.count(i)
... | Python | zaydzuhri_stack_edu_python |
import pickle
with open string ./model/spam_mail_filter.model string rb as file
begin
set spamFilterModel = load pickle file
end
print string 스팸메일 아닌 예시
set hamExam = read open string ./example/hamExam.txt string r
print hamExam
set pre = predict spamFilterModel hamExam
print string 결과 = pre
print string --------------... | import pickle
with open('./model/spam_mail_filter.model', 'rb') as file:
spamFilterModel = pickle.load(file)
print("스팸메일 아닌 예시")
hamExam = open("./example/hamExam.txt", 'r').read()
print(hamExam)
pre = spamFilterModel.predict(hamExam)
print("결과 =", pre)
print("-----------------------------------... | Python | zaydzuhri_stack_edu_python |
import Queue
import threading
from lxml import html
import requests
import time
comment url_dict : dictionary containing metadata and it's url, example {'asd' : 'http:google.com'}
comment num_thread : number of thread
comment timeout : HTTP get timeout
comment return : dictionary containing metadata and http tree, exam... | import Queue
import threading
from lxml import html
import requests
import time
# url_dict : dictionary containing metadata and it's url, example {'asd' : 'http:google.com'}
# num_thread : number of thread
# timeout : HTTP get timeout
# return : dictionary containing metadata and http tree, example {'asd' : <http ... | Python | zaydzuhri_stack_edu_python |
import nltk
from collections import Counter
from nltk.tokenize import TreebankWordTokenizer
with open string kite.txt string r as f
begin
set kite_text = read f
end
set tokenizer = call TreebankWordTokenizer
set tokens = call tokenize lower kite_text
set token_counts = counter tokens
print token_counts
print 20 * strin... | import nltk
from collections import Counter
from nltk.tokenize import TreebankWordTokenizer
with open('kite.txt','r') as f:
kite_text = f.read()
tokenizer = TreebankWordTokenizer()
tokens = tokenizer.tokenize(kite_text.lower())
token_counts = Counter(tokens)
print(token_counts)
print(20 *'-')
nltk.download('stopw... | Python | zaydzuhri_stack_edu_python |
string Utilities for (non-)overlapping-tile (or sliding window) predictions.
import numpy as np
from skimage.util import pad
from skimage.transform import resize
function _get_extended_image_size height width patch_size stride
begin
string Calculate extended height and width for given stride.
set tuple ext_height ext_w... | """
Utilities for (non-)overlapping-tile (or sliding window) predictions.
"""
import numpy as np
from skimage.util import pad
from skimage.transform import resize
def _get_extended_image_size(height, width, patch_size, stride):
"""Calculate extended height and width for given stride."""
ext_height, ext_widt... | Python | zaydzuhri_stack_edu_python |
comment The idea behind the algorithm is very simple and in two steps
comment We start with the base case
comment If the input number is a 0, then there are no variations of this and we return [""]
comment Our goal is to keep reducing the number in two fashions. One where we take two right most digits
comment Second to... | # The idea behind the algorithm is very simple and in two steps
# We start with the base case
# If the input number is a 0, then there are no variations of this and we return [""]
# Our goal is to keep reducing the number in two fashions. One where we take two right most digits
# Second to take the right most digit
# I... | Python | zaydzuhri_stack_edu_python |
function update_node_attrs self node_id attrs normalize=true
begin
pass
end function | def update_node_attrs(self, node_id, attrs, normalize=True):
pass | Python | nomic_cornstack_python_v1 |
function test_do_not_ignore_different_scalar_coords products
begin
set stat = string mean
set output = call PreprocessorFile
set output_products = dict string dict stat output
set kwargs = dict string statistics list stat ; string span string full ; string output_products output_products ; string keep_input_datasets f... | def test_do_not_ignore_different_scalar_coords(products):
stat = 'mean'
output = PreprocessorFile()
output_products = {'': {stat: output}}
kwargs = {
'statistics': [stat],
'span': 'full',
'output_products': output_products,
'keep_input_datasets': False,
}
msg = (... | Python | nomic_cornstack_python_v1 |
import serial
import time
import struct
import numpy as np
comment bluetooth comm port
set port = string COM4
comment baud rate of UART
set baud = 9600
set ser = call Serial port baud EIGHTBITS PARITY_NONE STOPBITS_ONE timeout=1
if call isOpen
begin
print name + string is open
print string format time time string %a, %... | import serial
import time
import struct
import numpy as np
port = "COM4" # bluetooth comm port
baud = 9600 # baud rate of UART
ser = serial.Serial(port, baud, serial.EIGHTBITS, serial.PARITY_NONE, serial.STOPBITS_ONE, timeout=1)
if ser.isOpen():
print(ser.name + " is open")
print(time.strftime("%a, %d %... | Python | zaydzuhri_stack_edu_python |
function get self request
begin
comment Retrieve all reactions if any
set reactions = all
comment Return reactions in a list
set list_reactions = list
comment Format reaction
for reaction in reactions
begin
set formatted_reaction = call format_response reaction
comment Append reaction to list of reactions
append list_... | def get(self, request):
# Retrieve all reactions if any
reactions = UserReaction.objects.all()
# Return reactions in a list
list_reactions = []
# Format reaction
for reaction in reactions:
formatted_reaction = format_response(reaction)
# Append ... | Python | nomic_cornstack_python_v1 |
import requests
from bs4 import BeautifulSoup
import json
function get_html
begin
set url = string https://www.bbc.com/news
set r = get requests url
return text
end function
function get_news
begin
set html = call get_html
set soup = call BeautifulSoup html string html.parser
set news = find all soup string div class_=... | import requests
from bs4 import BeautifulSoup
import json
def get_html():
url = 'https://www.bbc.com/news'
r = requests.get(url)
return r.text
def get_news():
html = get_html()
soup = BeautifulSoup(html, 'html.parser')
news = soup.find_all('div', class_='gs-c-promo')
return news
def mai... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
comment coding = utf-8
function square l
begin
set l = sorted l
return l at - 1 - l at 0 + l at - 2 - l at 1
end function
comment 正方形四条边的长度一样，最长的边最后一定会变得和最短的边一样长
if __name__ == string __main__
begin
set l = list map int split input
print call square l
end | #!/usr/bin/env python3
#coding = utf-8
def square(l: [int]) -> int:
l = sorted(l)
return l[-1] - l[0] + l[-2] -l[1]
# 正方形四条边的长度一样，最长的边最后一定会变得和最短的边一样长
if __name__ == "__main__":
l = list(map(int, input().split()))
print(square(l))
| Python | zaydzuhri_stack_edu_python |
function available_results self
begin
set out = list
for i in range length self
begin
append out call _get_result i
end
return out
end function | def available_results(self):
out = []
for i in range(len(self)):
out.append(self._get_result(i))
return out | Python | nomic_cornstack_python_v1 |
import os
class Node
begin
function __init__ self name option layer parent is_head=false
begin
set name = name
set option = option
set layer = layer
set parent = parent
set is_head = is_head
set children = list
set exec_nodes = list
end function
function force_add_on_layer self parent_ident name_ident layer option
be... | import os
class Node:
def __init__(self, name, option, layer, parent, is_head=False):
self.name = name
self.option = option
self.layer = layer
self.parent = parent
self.is_head = is_head
self.children = []
self.exec_nodes = []
def force_add_on_layer(sel... | Python | zaydzuhri_stack_edu_python |
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