code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
class Bookshelf
begin
class Book
begin
function __init__ self name file
begin
set name = name
set _file = file
end function
function readBook self
begin
set text = open _file string r
print read text
close text
end function
end class
set library = dict string Pride and Predjudice string pandp.txt ; string Grapes of Wra... | class Bookshelf():
class Book():
def __init__(self, name, file):
self.name = name
self._file = file
def readBook(self):
text = open(self._file, 'r')
print(text.read())
text.close()
library = {"Pride and Predjudice": "pandp.txt", "Grap... | Python | zaydzuhri_stack_edu_python |
function display_topics model dictionary num_topics output_path
begin
comment topics = model.show_topics(num_topics=num_topics)
set output_file = open output_path string w
comment for i in range(0, num_topics):
comment word_probability_tuples = model.get_topic_terms(i, topn=20)
comment _words = [dictionary[word_id] for... | def display_topics(model, dictionary, num_topics, output_path):
# topics = model.show_topics(num_topics=num_topics)
output_file = open(output_path, 'w')
# for i in range(0, num_topics):
# word_probability_tuples = model.get_topic_terms(i, topn=20)
# _words = [dictionary[word_id] for wor... | Python | nomic_cornstack_python_v1 |
comment IMPORTANDO Modulo de Classes Abstratas
from abc import ABC , abstractmethod
comment Classe Abstrata de pagamentos, que irá ser a base para os tipos de pagamento
class pagamento extends ABC
begin
function __init__ self tipoPagamento
begin
set __tipoPagamento = tipoPagamento
end function
comment GETTERS
function ... | from abc import ABC, abstractmethod #IMPORTANDO Modulo de Classes Abstratas
#Classe Abstrata de pagamentos, que irá ser a base para os tipos de pagamento
class pagamento(ABC):
def __init__(self, tipoPagamento):
self.__tipoPagamento = tipoPagamento
#GETTERS
def getTipoPagamento(self):
retu... | Python | zaydzuhri_stack_edu_python |
function parseParameter v t
begin
if t == string
begin
return v
end
else
if t == integer
begin
return call fromstring v dtype=int count=1 sep=string at 0
end
else
if t == real
begin
return call fromstring v dtype=double count=1 sep=string at 0
end
else
if t == integerList
begin
return call fromstring v dtype=int sep=st... | def parseParameter(v,t):
if t==ParameterType.string:
return v
elif t==ParameterType.integer:
return np.fromstring(v,dtype=np.int,count=1,sep=" ")[0]
elif t==ParameterType.real:
return np.fromstring(v,dtype=np.double,count=1,sep=" ")[0]
elif t==ParameterType.integerList:
return np.fromstring(v,dtype=np.int,s... | Python | nomic_cornstack_python_v1 |
class Employee
begin
function __init__ self name salary department
begin
set name = name
set salary = salary
set department = department
end function
function validate_name self
begin
if length name > 50
begin
raise call ValueError string Name cannot exceed 50 characters.
end
end function
function validate_salary self
... | class Employee:
def __init__(self, name, salary, department):
self.name = name
self.salary = salary
self.department = department
def validate_name(self):
if len(self.name) > 50:
raise ValueError("Name cannot exceed 50 characters.")
def validate_salary(self):... | Python | jtatman_500k |
function _rms data
begin
if length shape > 1
begin
comment np.sqrt(np.mean(data ** 2, axis=1))
return standard deviation np data axis=1
end
comment np.sqrt(np.mean(data ** 2))
return standard deviation np data
end function | def _rms(data):
if len(data.shape) > 1:
return np.std(data, axis=1) #np.sqrt(np.mean(data ** 2, axis=1))
return np.std(data) #np.sqrt(np.mean(data ** 2))
| Python | nomic_cornstack_python_v1 |
import os
class Stack
begin
function __init__ self
begin
set arr = list
set Top = - 1
end function
function push self a
begin
set Top = Top + 1
append arr a
print format string Element {} push successful a
end function
function pop self
begin
try
begin
set Top = Top - 1
return pop arr Top + 1
end
except any
begin
set ... | import os
class Stack:
def __init__(self):
self.arr = []
self.Top = -1
def push(self, a):
self.Top += 1
self.arr.append(a)
print("Element {} push successful".format(a))
def pop(self):
try:
self.Top -= 1
return self.arr.pop(self.Top+... | Python | zaydzuhri_stack_edu_python |
function random_sample_from_prod_discrete_domain list_of_list_of_vals num_samples
begin
return call random_sample_from_discrete_domain list_of_list_of_vals num_samples
end function | def random_sample_from_prod_discrete_domain(list_of_list_of_vals, num_samples):
return random_sample_from_discrete_domain(list_of_list_of_vals, num_samples) | Python | nomic_cornstack_python_v1 |
function test_first_degenerate self
begin
assert equal call first_degenerate none
assert equal call first_degenerate none
assert equal call first_degenerate none
assert equal call first_degenerate 0
assert equal call first_degenerate 7
assert equal call first_degenerate 11
end function | def test_first_degenerate(self):
self.assertEqual(self.RNA("").first_degenerate(), None)
self.assertEqual(self.RNA("a").first_degenerate(), None)
self.assertEqual(self.RNA("UCGACA--CU-gacucaguacgua").first_degenerate(), None)
self.assertEqual(self.RNA("nCAGU").first_degenerate(), 0)
... | Python | nomic_cornstack_python_v1 |
import os , sys , time , subprocess
comment Open a file
set path = string E:/Capstone Project/New for Journal/2_MPEF with JPEG/
set srcpath = path + string /1_Compressed Image Frames/lou_dyn/
set dstpath = path + string 2_Compressed MPEG/lou_dyn/
set dirs = list directory srcpath
set start_time = time
comment This woul... | import os, sys, time, subprocess
# Open a file
path = "E:/Capstone Project/New for Journal/2_MPEF with JPEG/"
srcpath = path + "/1_Compressed Image Frames/lou_dyn/"
dstpath = path + "2_Compressed MPEG/lou_dyn/"
dirs = os.listdir( srcpath )
start_time = time.time()
# This would print all the files and directories
for... | Python | zaydzuhri_stack_edu_python |
function light_head_preprocess_image image labels bboxes out_shape data_format is_training=false **kwargs
begin
if is_training
begin
return call light_head_preprocess_for_train image labels bboxes out_shape=out_shape data_format=data_format
end
else
begin
return call light_head_preprocess_for_eval image labels bboxes o... | def light_head_preprocess_image(image,
labels,
bboxes,
out_shape,
data_format,
is_training=False,
**kwargs):
if is_training:
return light_head_preprocess_for_train(image, labels, bbo... | Python | nomic_cornstack_python_v1 |
function update_project id
begin
if method == string POST
begin
set result = call update_project_to_db id form at string title form at string link form at string description
call flash result
return call redirect call url_for string portfolio
end
else
begin
set project = call get_project id
return call render_template ... | def update_project(id):
if request.method == "POST":
result = update_project_to_db(
id,
request.form["title"],
request.form["link"],
request.form["description"]
)
flash(result)
return redirect(url_for("portfolio"))
else:
pro... | Python | nomic_cornstack_python_v1 |
import os
function all_path dirname
begin
comment 所有的文件
set result = list
for tuple maindir subdir file_name_list in walk dirname
begin
comment 当前主目录
print string 1: maindir
comment 当前主目录下的所有目录
print string 2: subdir
comment 当前主目录下的所有文件
print string 3: file_name_list
for filename in file_name_list
begin
comment 合并成一个完... | import os
def all_path(dirname):
result = []#所有的文件
for maindir, subdir, file_name_list in os.walk(dirname):
print("1:",maindir) #当前主目录
print("2:",subdir) #当前主目录下的所有目录
print("3:",file_name_list) #当前主目录下的所有文件
for filename in file_name_list:
apath = os.p... | Python | zaydzuhri_stack_edu_python |
function org_apache_felix_proxy_load_balancer_connection_enable self org_apache_felix_proxy_load_balancer_connection_enable
begin
set _org_apache_felix_proxy_load_balancer_connection_enable = org_apache_felix_proxy_load_balancer_connection_enable
end function | def org_apache_felix_proxy_load_balancer_connection_enable(self, org_apache_felix_proxy_load_balancer_connection_enable: ConfigNodePropertyBoolean):
self._org_apache_felix_proxy_load_balancer_connection_enable = org_apache_felix_proxy_load_balancer_connection_enable | Python | nomic_cornstack_python_v1 |
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
import os
from flask_migrate import Migrate
set db = call SQLAlchemy
comment database_name = "movies"
comment database_path = "postgresql://{}:{}@{}/{}".format('postgres','123','localhost:5432',database_name)
set database_path = environ at string DATABASE_... | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
import os
from flask_migrate import Migrate
db = SQLAlchemy()
#database_name = "movies"
#database_path = "postgresql://{}:{}@{}/{}".format('postgres','123','localhost:5432',database_name)
database_path = os.environ['DATABASE_URL']
if database_path.startsw... | Python | zaydzuhri_stack_edu_python |
comment 常用的正则表达式
import re
comment 匹配IP地址格式，但不保证IP地址合法
set string = string haha192.168.1.1heh
set r = compile string (\d{1,3}\.){3}\d{1,3}
set temp = search string
print call group
comment 匹配IP地址格式，保证IP地址合法
set string = string haha192.122.1.1heh
comment r = re.compile(r'((2[0-4]\d|25[0-5]|[01]?\d\d?)\.){3}(2[0-4]\d|25[... | # 常用的正则表达式
import re
# 匹配IP地址格式，但不保证IP地址合法
string = 'haha192.168.1.1heh'
r = re.compile(r'(\d{1,3}\.){3}\d{1,3}')
temp = r.search(string)
print(temp.group())
# 匹配IP地址格式，保证IP地址合法
string = 'haha192.122.1.1heh'
# r = re.compile(r'((2[0-4]\d|25[0-5]|[01]?\d\d?)\.){3}(2[0-4]\d|25[0-5]|[01]?\d\d?)')
r = re.compile(r'((2[... | Python | zaydzuhri_stack_edu_python |
import sys
append path string ./utils/
import pandas as pd
from utils.utils_pp import ds_from_json_from_zip , get_label_dict
from sklearn.preprocessing import MultiLabelBinarizer
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.multiclass import OneVsRestClassifier
from sklearn import svm
from s... | import sys
sys.path.append('./utils/')
import pandas as pd
from utils.utils_pp import ds_from_json_from_zip, get_label_dict
from sklearn.preprocessing import MultiLabelBinarizer
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.multiclass import OneVsRestClassifier
from sklearn import svm
from s... | Python | zaydzuhri_stack_edu_python |
function ortho_B_W number inputs
begin
set B = randn number
set B = B / norm B
set X = random tuple number inputs
set tuple U _ Vt = call svd X full_matrices=false
set Vt = T
return tuple B Vt
end function | def ortho_B_W(number, inputs):
B = np.random.randn(number)
B /= np.linalg.norm(B)
X = np.random.random((number, inputs))
U, _, Vt = np.linalg.svd(X, full_matrices=False)
Vt = Vt.T
return B, Vt | Python | nomic_cornstack_python_v1 |
function trip_duration_stats df
begin
print string Calculating Trip Duration...
set start_time = time
comment display total travel time
set total_travel_time = integer sum
set total_travel_minutes = integer total_travel_time / 60
set total_travel_hours = integer total_travel_time / 3600
set total_travel_days = integer ... | def trip_duration_stats(df):
print('\nCalculating Trip Duration...\n')
start_time = time.time()
# display total travel time
total_travel_time = int(df['Trip Duration'].sum())
total_travel_minutes = int(total_travel_time/60)
total_travel_hours = int(total_travel_time/3600)
total_travel_days... | Python | nomic_cornstack_python_v1 |
import math
from library.bodies import DynamicBodyConstants
comment pixels per metre
set M2PX = 16
set car_constants = call DynamicBodyConstants length=M2PX * 4.5 width=M2PX * 1.75 wheelbase=M2PX * 3 track=M2PX * 1.75 min_velocity=0 max_velocity=M2PX * 9 min_throttle=M2PX * - 9 max_throttle=M2PX * 9 min_steering_angle=... | import math
from library.bodies import DynamicBodyConstants
M2PX = 16 # pixels per metre
car_constants = DynamicBodyConstants(
length=M2PX * 4.5, # [4.5 m]
width=M2PX * 1.75, # [1.75 m]
wheelbase=M2PX * 3, # [3 m]
track=M2PX * 1.75, # [1.75 m]
min_velocity=0, # [0 m/s]
max_velocity=M2PX... | Python | zaydzuhri_stack_edu_python |
comment Write a program which accept string from user and copy capital
comment characters of that string into another string.
comment Input : “Marvellous Multi OS”
comment Output : “MMOS”
function StrCpyCap strs
begin
set arr = list
set list1 = list strs
set length = length list1
set i = 0
while i < length
begin
if li... | # Write a program which accept string from user and copy capital
# characters of that string into another string.
# Input : “Marvellous Multi OS”
# Output : “MMOS”
def StrCpyCap(strs):
arr=[]
list1=list(strs)
length=len(list1)
i=0
while i<length:
if list1[i]>='A' and list1[i... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment -*- coding:utf-8 -*-
comment Author: kent
comment 改程序需要在终端环境下运行，pycharm下不能得到正确结果
import getpass
set _username = string zhaojian
set _password = string abc123
set username = input string username:
comment password = getpass.getpass("password:")
set passoword = input string passorod:
... | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author: kent
#改程序需要在终端环境下运行，pycharm下不能得到正确结果
import getpass
_username = 'zhaojian'
_password = 'abc123'
username = input("username:")
#password = getpass.getpass("password:")
passoword = input("passorod:")
if _username == username and _password == passoword:
print("... | Python | zaydzuhri_stack_edu_python |
function second_moments ix iy ksize=7 sigma=10
begin
if ksize == 1
begin
return tuple ix ^ 2 iy ^ 2 ix * iy
end
set gk = call get_gaussian_kernel ksize sigma
comment print(gk)
set tuple m n = shape
set sx2 = call my_filter2D reshape np ix ^ 2 tuple m n 1 gk
set sxsy = call my_filter2D reshape np ix * iy tuple m n 1 gk
... | def second_moments(ix, iy, ksize = 7, sigma = 10):
if ksize == 1:
return ix**2, iy**2, ix*iy
gk = get_gaussian_kernel(ksize, sigma)
# print(gk)
m, n = ix.shape
sx2 = my_filter2D(np.reshape(ix**2, (m, n, 1)), gk)
sxsy = my_filter2D(np.reshape(ix*iy, (m, n, 1)), gk)
sy2 = m... | Python | nomic_cornstack_python_v1 |
function split_args kwargs
begin
set init_args = dict
set method_args = dict
for tuple key arg in items kwargs
begin
if starts with key INIT_KEY
begin
set init_args at split key string . at - 1 = arg
end
else
if starts with key METHOD_KEY
begin
set method_args at split key string . at - 1 = arg
end
end
return tuple i... | def split_args(kwargs: Dict[str, Any]) -> Tuple[Dict[str, Any], Dict[str, Any]]:
init_args = {}
method_args = {}
for key, arg in kwargs.items():
if key.startswith(INIT_KEY):
init_args[key.split('.')[-1]] = arg
elif key.startswith(METHOD_KEY):
method_args[key.split('.')[-1]] = arg
return in... | Python | nomic_cornstack_python_v1 |
function get_assignment_map_from_checkpoint tvars init_checkpoint
begin
set assignment_map = dict
set initialized_variable_names = dict
set name_to_variable = ordered dictionary
for var in tvars
begin
set name = name
set m = match string ^(.*):\d+$ name
if m is not none
begin
set name = call group 1
end
set name_to_v... | def get_assignment_map_from_checkpoint(tvars, init_checkpoint):
assignment_map = {}
initialized_variable_names = {}
name_to_variable = collections.OrderedDict()
for var in tvars:
name = var.name
m = re.match('^(.*):\\d+$', name)
if m is not None:
name = m.group(1)
... | Python | nomic_cornstack_python_v1 |
function mlx_crc data
begin
set crc = 0
for i in data
begin
set crc = crc + i
if crc > 255
begin
set crc = crc - 255
end
end
return 255 - crc
end function | def mlx_crc(data, ):
crc = 0
for i in data:
crc += i
if crc > 255:
crc -= 255
return 255-crc | Python | nomic_cornstack_python_v1 |
function move my_history their_history my_score their_score
begin
if length my_history == 0
begin
return string c
end
else
if length their_history - 1 == string b
begin
return string b
end
else
begin
return string c
end
end function
move string b string c 0 0 | def move(my_history, their_history, my_score, their_score):
if len(my_history) == 0:
return'c'
elif (len(their_history)-1) == 'b':
return'b'
else:
return 'c'
move("b","c",0,0)
| Python | zaydzuhri_stack_edu_python |
function stop self key
begin
set data = _watch at key
if data at 0 < 0
begin
set data at 0 = time - data at 1
end
end function | def stop(self,key):
data = self._watch[key]
if data[0]<0 : data[0] = time.time() - data[1] | Python | nomic_cornstack_python_v1 |
comment Vamos aprimorar o código: cadastro de jogador de futebol.py que foi desenvolvido no CodeLab da aula14. Faça com que o seu código funcione para vários jogadores, incluindo um sistema de visualização de detalhes de aproveitamento de cada jogador.
comment Modo 1
class Jogador
begin
function __init__ self nome part... | # Vamos aprimorar o código: cadastro de jogador de futebol.py que foi desenvolvido no CodeLab da aula14. Faça com que o seu código funcione para vários jogadores, incluindo um sistema de visualização de detalhes de aproveitamento de cada jogador.
# Modo 1
class Jogador:
def __init__(self, nome, partidas, golsTota... | Python | zaydzuhri_stack_edu_python |
import random
class CardGame
begin
set deck = none
set scores = none
function __init__ self
begin
set deck = call generateDeck
set scores = dict string player1 0 ; string player2 0
end function
function generateDeck self
begin
set suits = list string Clubs string Diamonds string Hearts string Spades
set ranks = list st... | import random
class CardGame:
deck = None
scores = None
def __init__(self):
self.deck = self.generateDeck()
self.scores = {'player1': 0, 'player2': 0}
def generateDeck(self):
suits = ['Clubs', 'Diamonds', 'Hearts', 'Spades']
ranks = ['2','3','4','5','6','7','8','... | Python | iamtarun_python_18k_alpaca |
function _checkoutemptytree self
begin
set oid = write call TreeBuilder
call checkout_tree _repository at oid
end function | def _checkoutemptytree(self) -> None:
oid = self._repository.TreeBuilder().write()
self._repository.checkout_tree(self._repository[oid]) | Python | nomic_cornstack_python_v1 |
function handle_yes_request intent session
begin
set result = call handle_continue_end_ambiguity_request intent session
try
begin
set continue_prompt_asked = session at string attributes at string continuePromptAsked
if call strtobool continue_prompt_asked == 1
begin
set result = call handle_restart_session intent sess... | def handle_yes_request(intent, session):
result = handle_continue_end_ambiguity_request(intent, session)
try:
continue_prompt_asked = session['attributes']['continuePromptAsked']
if strtobool(continue_prompt_asked) == 1:
result = handle_restart_session(intent, session)
except Key... | Python | nomic_cornstack_python_v1 |
import numpy as np
import matplotlib.pyplot as plt
function load Dir id
begin
with open Dir + string output + id as f
begin
set content = read lines f
end
set content = list comprehension strip x for x in content
set x = list
set y = list
set y0 = list
set i = 0
while i < length content
begin
append x integer conten... | import numpy as np
import matplotlib.pyplot as plt
def load(Dir, id):
with open(Dir + 'output' + id) as f:
content = f.readlines()
content = [x.strip() for x in content]
x = []
y = []
y0 = []
i = 0
while i < len(content):
x.append(int(content[i]))
s1 = 0
s2 = 0
for j in range(5):
i += 1
t1 = ... | Python | zaydzuhri_stack_edu_python |
comment Python3 implementation of the approach
comment Fuction to return the count
comment of the required numbers
function countNum N arr
begin
comment To store the count of
comment required numbers
set count = 0
for i in range N
begin
comment Initialize sum to 0
set Sum = 0
for j in range N
begin
comment If current e... | # Python3 implementation of the approach
# Fuction to return the count
# of the required numbers
def countNum(N, arr):
# To store the count of
# required numbers
count = 0
for i in range(N):
# Initialize sum to 0
Sum = 0
for j in range(N):
... | Python | zaydzuhri_stack_edu_python |
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
function vectorize_sequences sequences dimension=10000
begin
comment 크기가 (len(sequences), dimension))이고 모든 원소가 0인 행렬을 만듭니다
set results = zeros tuple length sequences dimension
for tuple i sequence in enumerate sequences
begin
comment results[i]에... | import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
def vectorize_sequences(sequences, dimension=10000):
# 크기가 (len(sequences), dimension))이고 모든 원소가 0인 행렬을 만듭니다
results = np.zeros((len(sequences), dimension))
for i, sequence in enumerate(sequences):
results[i, sequence] = 1. ... | Python | zaydzuhri_stack_edu_python |
from netaddr import IPNetwork
import requests
import configparser
import boto3
import sys
function getopts
begin
from sys import argv
comment Empty dictionary to store key-value pairs.
set opts = dict
comment While there are arguments left to parse...
while argv
begin
comment Found a "-name value" pair.
if argv at 0 a... | from netaddr import IPNetwork
import requests
import configparser
import boto3
import sys
def getopts():
from sys import argv
opts = {} # Empty dictionary to store key-value pairs.
while argv: # While there are arguments left to parse...
if argv[0][0] == '-': # Found a "-name value" pair.
... | Python | zaydzuhri_stack_edu_python |
function inverse_value controllerName attributeName
begin
set currentValue = get attribute controllerName + string . + attributeName
set inverseValue = decimal currentValue - currentValue * 2
set attribute controllerName + string . + attributeName inverseValue
end function | def inverse_value(controllerName, attributeName):
currentValue = cmds.getAttr(controllerName + "." + attributeName)
inverseValue = float((currentValue - (currentValue * 2)))
cmds.setAttr((controllerName + "." + attributeName), inverseValue) | Python | nomic_cornstack_python_v1 |
function load_xml self abstract_element
begin
call set_attributes abstract_element self
set value_of = text
save
end function | def load_xml(self,
abstract_element):
set_attributes(abstract_element,self)
self.value_of = abstract_element.text
self.save() | Python | nomic_cornstack_python_v1 |
comment String formatting with templates
comment Compared to other string formatting methods, these have increases security functions
from string import Template
comment The $ are important
set templ = call Template string You are watching ${title} by ${author}
set string = call substitute title=string Advanced Python ... | # String formatting with templates
# Compared to other string formatting methods, these have increases security functions
from string import Template
# The $ are important
templ = Template('You are watching ${title} by ${author}')
string = templ.substitute(title='Advanced Python', author='Andrew Dunkle')
print(string... | Python | zaydzuhri_stack_edu_python |
import argparse
from landmark_detection.landmark_detector import LandmarkDetector
import cv2
if __name__ == string __main__
begin
set parser = call ArgumentParser description=string Evaluate a single image by the trained model formatter_class=ArgumentDefaultsHelpFormatter
call add_argument string --image type=str help=... | import argparse
from landmark_detection.landmark_detector import LandmarkDetector
import cv2
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Evaluate a single image by the trained model',
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
pars... | Python | zaydzuhri_stack_edu_python |
function cmd_sync self low timeout=none full_return=false
begin
set reformatted_low = call _reformat_low low
return call cmd_sync self reformatted_low timeout full_return
end function | def cmd_sync(self, low, timeout=None, full_return=False):
reformatted_low = self._reformat_low(low)
return mixins.SyncClientMixin.cmd_sync(
self, reformatted_low, timeout, full_return
) | Python | nomic_cornstack_python_v1 |
comment Problem 14
comment 1 1
comment 2 1 2
comment 3 10 5 16 8 4 2 1 8
comment 4 2 1 3
comment 5 16 8 4 2 1 6
comment 6 3 10 5 16 8 4 2 1 9
comment 7 22 11 34 17 54 27 82 41 124 62 31 92 46 23
import sys
call setrecursionlimit 100000
comment retuns the number of terms of the Collatz sequence that starts with the inte... | # Problem 14
# 1 1
# 2 1 2
# 3 10 5 16 8 4 2 1 8
# 4 2 1 3
# 5 16 8 4 2 1 6
# 6 3 10 5 16 8 4 2 1 9
# 7 22 11 34 17 54 27 82 41 124 62 31 92 46 23
import sys
sys.setrecursionlimit(100000)
# retuns the number of terms of the Collatz sequence that starts with the integer "num"
def collatz (num):
... | Python | zaydzuhri_stack_edu_python |
function _check_cls self
begin
if _cls is none
begin
raise call ValueError string _cls has not been set
end
end function | def _check_cls(self):
if self._cls is None:
raise ValueError("_cls has not been set") | Python | nomic_cornstack_python_v1 |
function __call__ self input
begin
if state is not none
begin
set state = alpha * input + 1 - alpha * state
end
else
begin
set state = input
end
return state
end function | def __call__(self, input: Union[np.ndarray, float]):
if self.state is not None:
self.state = self.alpha * input + (1 - self.alpha) * self.state
else:
self.state = input
return self.state | Python | nomic_cornstack_python_v1 |
comment =================================
comment Sound Sensor Raspi
comment =================================
comment VCC ==> 2
comment GND ==> 9
comment OUT ==> 37
import RPi.GPIO as GPIO
from time import sleep
import requests
comment GPIO SETUP
set channel = 37
call setmode BOARD
setup GPIO channel IN pull_up_down=P... | # =================================
# Sound Sensor Raspi
# =================================
# VCC ==> 2
# GND ==> 9
# OUT ==> 37
import RPi.GPIO as GPIO
from time import sleep
import requests
#GPIO SETUP
channel = 37
GPIO.setmode(GPIO.BOARD)
GPIO.setup(chan... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
comment ---------------------------------------------------------
comment FILE DESCRIPTION:
comment ---------------------------------------------------------
comment Download and save results from completed HIT assignments
comment ---------------------------------------------------------
c... | #!/usr/bin/env python3
#---------------------------------------------------------
# FILE DESCRIPTION:
#---------------------------------------------------------
# Download and save results from completed HIT assignments
#---------------------------------------------------------
# IMPORTS
#----------------------------... | Python | zaydzuhri_stack_edu_python |
function drct u v
begin
comment TODO
return 0
if value
begin
set val = 1
end
return call direction val string DEG
end function | def drct(u, v):
return 0 #TODO
if (v.value):
val = 1
return dt.direction(val, 'DEG') | Python | nomic_cornstack_python_v1 |
import streamlit as st
comment NLP Pkgs
from textblob import TextBlob
import pandas as pd
from PIL import Image
comment Emoji
comment import emoji
comment Audio
comment from gtts import gTTS
from bokeh.models.widgets import Div
decorator cache
comment Web Scraping Pkg
comment from bs4 import BeautifulSoup
comment from ... | import streamlit as st
# NLP Pkgs
from textblob import TextBlob
import pandas as pd
from PIL import Image
# Emoji
#import emoji
# Audio
#from gtts import gTTS
from bokeh.models.widgets import Div
# Web Scraping Pkg
#from bs4 import BeautifulSoup
#from urllib.request import urlopen
# Fetch Text From Url
@st.cache
... | Python | zaydzuhri_stack_edu_python |
function AddSymbolicLink self path linked_path
begin
if call FileEntryExistsByPath path
begin
raise call ValueError string Path: { path } already set.
end
call _AddParentDirectories path
call AddFileEntry path file_entry_type=FILE_ENTRY_TYPE_LINK link_data=linked_path
end function | def AddSymbolicLink(self, path, linked_path):
if self.file_system.FileEntryExistsByPath(path):
raise ValueError(f'Path: {path:s} already set.')
self._AddParentDirectories(path)
self.file_system.AddFileEntry(
path, file_entry_type=definitions.FILE_ENTRY_TYPE_LINK,
link_data=linked_path... | Python | nomic_cornstack_python_v1 |
comment 대표값으로 접근
function findset n
begin
while p at n != n
begin
set n = p at n
end
return n
end function
function mst
begin
global V
set c = 0
set s = 0
set i = 0
comment 노드의 수보다 1개 적은 간선 필요
while c < V
begin
set p1 = call findset edge at i at 0
set p2 = call findset edge at i at 1
if p1 != p2
begin
set s = s + edge ... | def findset(n): # 대표값으로 접근
while p[n] != n:
n = p[n]
return n
def mst():
global V
c=0
s=0
i=0
while c<V: # 노드의 수보다 1개 적은 간선 필요
p1 = findset(edge[i][0])
p2 = findset(edge[i][1])
if p1 != p2:
s+= edge[i][2]
c+=1
p[p2] = p1 #... | Python | zaydzuhri_stack_edu_python |
function Fibonacci n
begin
set f = list comprehension 0 for i in range n + 1
set f at 0 = 0
set f at 1 = 1
if n <= 1
begin
return f at n
end
else
begin
for i in range 2 n
begin
set f at i = f at i + f at i - 2 + f at i - 1
end
end
return f at n
end function | def Fibonacci(n):
f = [0 for i in range(n+1)]
f[0] = 0
f[1] = 1
if n <= 1:
return f[n]
else:
for i in range(2, n):
f[i] += (f[i - 2] + f[i - 1])
return f[n]
| Python | zaydzuhri_stack_edu_python |
function find_feature_and_threshold_to_split_by self patients
begin
set num_of_features = length symptoms
comment For each feature find the value to split by that provides the best IG
comment Save the best feature and the threshold
set best_ig = 0
set best_feature = none
set best_threshold = none
set final_smaller = li... | def find_feature_and_threshold_to_split_by(self, patients):
num_of_features = len(patients[0].symptoms)
# For each feature find the value to split by that provides the best IG
# Save the best feature and the threshold
best_ig = 0
best_feature = None
best_threshold = Non... | Python | nomic_cornstack_python_v1 |
function fwintegritycheckautomatictesting self
begin
call printer string *********************************************************************************
call printer string ******************FIRMWARE INTEGRITY CHECK AUTOMATIC TESTING*********************
call printer string *******************************************... | def fwintegritycheckautomatictesting(self):
self.rdmc.ui.printer(
"\n*************************************************"
"********************************\n"
)
self.rdmc.ui.printer(
"******************FIRMWARE INTEGRITY CHECK AUTOMATIC "
"TESTING***... | Python | nomic_cornstack_python_v1 |
comment Doubly linked List....
class node
begin
function __init__ self data
begin
set data = data
set left = none
set right = none
end function
end class
class DoublylinkedList
begin
function __init__ self
begin
set head = none
set temp = none
end function
function insertAtFirst self value
begin
set newNode = call node... | #Doubly linked List....
class node:
def __init__(self, data):
self.data = data
self.left=None
self.right=None
class DoublylinkedList:
def __init__(self):
self.head=None
self.temp=None
def insertAtFirst(self,value):
newNode=node(value)
if(self.head==None):
self.head=newNode
self.temp=self.head
e... | Python | zaydzuhri_stack_edu_python |
function make_weights_for_balanced_classes images nclasses
begin
print string balanced classes set
set count = list 0 * nclasses
for item in images
begin
set count at item at 1 = count at item at 1 + 1
end
set weight_per_class = list 0.0 * nclasses
set N = decimal sum count
for i in range nclasses
begin
comment print(i... | def make_weights_for_balanced_classes(images, nclasses):
print("balanced classes set")
count = [0] * nclasses
for item in images:
count[item[1]] += 1
weight_per_class = [0.] * nclasses ... | Python | nomic_cornstack_python_v1 |
from PyQt5.QtCore import QThread , pyqtSignal
from PyQt5.QtNetwork import QUdpSocket , QHostAddress
class MessageWorker extends QThread
begin
set conn_est = call pyqtSignal
set msg_sent = call pyqtSignal
function __init__ self
begin
call __init__ self
set server_addr = call QHostAddress string 75.65.192.207
set server_... | from PyQt5.QtCore import QThread, pyqtSignal
from PyQt5.QtNetwork import QUdpSocket, QHostAddress
class MessageWorker(QThread):
conn_est = pyqtSignal()
msg_sent = pyqtSignal()
def __init__(self):
QThread.__init__(self)
self.server_addr = QHostAddress('75.65.192.207')
self.server_... | Python | zaydzuhri_stack_edu_python |
function dna_starts_with string prefix
begin
return string at slice 0 : length prefix : == prefix
end function
comment neater to push this into a less repetitious form...
comment expect true
assert call dna_starts_with string ATC string A
comment expect false
assert not call dna_starts_with string TTC string A
comment... | def dna_starts_with(string, prefix):
return string[0:len(prefix)] == prefix
#neater to push this into a less repetitious form...
assert dna_starts_with("ATC", "A") #expect true
assert not dna_starts_with("TTC", "A") #expect false
assert not dna_starts_with("ATC", "TC") #expect false
assert not dna_starts_with(... | Python | zaydzuhri_stack_edu_python |
function get_config
begin
global _BASE_CONFIG
return deep copy _BASE_CONFIG
end function | def get_config():
global _BASE_CONFIG
return copy.deepcopy(_BASE_CONFIG) | Python | nomic_cornstack_python_v1 |
function get_principal_byemail self email
begin
set providers = call get_cfg_storage AUTH_PROVIDER_ID
for tuple pname provider in items providers
begin
set principal = call get_principal_byemail email
if principal is not none
begin
return principal
end
end
end function | def get_principal_byemail(self, email):
providers = config.get_cfg_storage(AUTH_PROVIDER_ID)
for pname, provider in providers.items():
principal = provider.get_principal_byemail(email)
if principal is not None:
return principal | Python | nomic_cornstack_python_v1 |
function GetCommandTabBoxCount self
begin
return call InvokeTypes 1 LCID 1 tuple 3 0 tuple
end function | def GetCommandTabBoxCount(self):
return self._oleobj_.InvokeTypes(1, LCID, 1, (3, 0), (),) | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string
class Rectangulo
begin
function __init__ self base altura
begin
comment La verificación de las restricciones no se están haciendo
comment Se denomina variable de instancia
set __base = decimal base
set __altura = decimal altura
end function
function __str__ self
begin
return string... | # -*- coding: utf-8 -*-
'''
'''
class Rectangulo():
#
def __init__(self, base, altura):
#
# La verificación de las restricciones no se están haciendo
#
self.__base = float(base) # Se denomina variable de instancia
self.__altur... | Python | zaydzuhri_stack_edu_python |
import os
import pandas as pd
import matplotlib.pyplot as plt
from datetime import datetime
import psycopg2
import numpy as np
from sklearn.preprocessing import MinMaxScaler
from imblearn.over_sampling import SMOTE
from os.path import dirname , abspath
set d = directory name directory name absolute path __file__
functi... | import os
import pandas as pd
import matplotlib.pyplot as plt
from datetime import datetime
import psycopg2
import numpy as np
from sklearn.preprocessing import MinMaxScaler
from imblearn.over_sampling import SMOTE
from os.path import dirname, abspath
d = dirname(dirname(abspath(__file__)))
def _user_table(file_path:... | Python | zaydzuhri_stack_edu_python |
import numpy as np
class ScipyConstraints extends object
begin
function __init__ self
begin
set constraints = list
end function
function add_l2_regularization self params lam
begin
function lagrangian pv pi
begin
set pb = array list comprehension pv at pi at p for p in params
return lam - 0.5 * dot pb pb
end function
... | import numpy as np
class ScipyConstraints(object):
def __init__(self):
self.constraints = []
def add_l2_regularization(self, params, lam):
def lagrangian(pv, pi):
pb = np.array([pv[pi[p]] for p in params])
return lam - .5 * np.dot(pb, pb)
def jacobian(pv, pi... | Python | zaydzuhri_stack_edu_python |
function LinkedListSum list_one list_two
begin
if length != length or length == 0
begin
return
end
set list_sum = call LinkedList
set node_one = head
set node_two = head
while node_one is not none
begin
call add_in_tail call Node value + value
set node_one = next
set node_two = next
end
return list_sum
end function | def LinkedListSum(list_one, list_two):
if (list_one.len() != list_two.len()) or (list_one.len() == 0):
return
list_sum = LinkedList()
node_one = list_one.head
node_two = list_two.head
while node_one is not None:
list_sum.add_in_tail(Node(node_one.value + node_two.value))
... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
set df = read csv string Movie-Review-Sentiment-Analysis\movie_data.csv
head df
comment converting raw data to tf-idf format
comment convert to sparse feature vector
comment using bag-of-words model from NLP
set count = c... | import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
df = pd.read_csv('Movie-Review-Sentiment-Analysis\movie_data.csv')
df.head()
#converting raw data to tf-idf format
#convert to sparse feature vector
#using bag-of-words model from NLP
count = CountVectorizer()
data_do... | Python | zaydzuhri_stack_edu_python |
comment multiple inheritance init call analysis
class A
begin
function __init__ self
begin
print string init of A
end function
function feature1 self
begin
print string Feature 1-A
end function
function featurea self
begin
print string Feature A
end function
end class
class B
begin
function __init__ self
begin
print st... | # multiple inheritance init call analysis
class A:
def __init__(self):
print("init of A")
def feature1(self):
print("Feature 1-A")
def featurea(self):
print("Feature A")
class B:
def __init__(self):
print("init of B")
def feature1(self):
print("Fea... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python2
import os
import shutil
import scipy.io
import numpy as np
import ElasticRod
import tensorflow as tf
import math
function rotation_matrix axis theta
begin
string Return the rotation matrix associated with counterclockwise rotation about the given axis by theta radians.
set axis = call asar... | #!/usr/bin/env python2
import os
import shutil
import scipy.io
import numpy as np
import ElasticRod
import tensorflow as tf
import math
def rotation_matrix(axis, theta):
"""
Return the rotation matrix associated with counterclockwise rotation about
the given axis by theta radians.
"""
axis = np.as... | Python | zaydzuhri_stack_edu_python |
function sparse_linear self max_ctax
begin
set path = list
set nums = length years
for num in range nums
begin
set first_part_path = linear space 0 max_ctax num=num
set second_part_path = array list max_ctax * nums - num
append path concatenate list first_part_path second_part_path
end
set columns = list comprehension... | def sparse_linear(self, max_ctax):
path = []
nums = len(self.years)
for num in range(nums):
first_part_path = np.linspace(0, max_ctax, num=num)
second_part_path = np.array([max_ctax] * (nums - num))
path.append(np.concatenate(... | Python | nomic_cornstack_python_v1 |
function _pad_diff arr w h arr_shape
begin
set w_diff = arr_shape - w
set h_diff = arr_shape - h
if length shape > 2
begin
set padded_arr = call pad arr tuple tuple 0 w_diff tuple 0 h_diff tuple 0 0 string constant constant_values=nan
end
else
begin
set padded_arr = call pad arr tuple tuple 0 w_diff tuple 0 h_diff stri... | def _pad_diff(arr, w, h, arr_shape):
w_diff = arr_shape - w
h_diff = arr_shape - h
if len(arr.shape) > 2:
padded_arr = np.pad(arr, ((0, w_diff), (0, h_diff), (0, 0)), "constant", constant_values=np.nan)
else:
padded_arr = np.pad(arr, ((0, w_diff), (0, h_diff)), "constant", constant_valu... | Python | nomic_cornstack_python_v1 |
function _parse_answer answer
begin
set name = answer at slice 0 : 2 :
set answer_type = answer at slice 2 : 4 :
set answer_class = answer at slice 4 : 6 :
set ttl = answer at slice 6 : 10 :
set data_length = answer at slice 10 : 12 :
set address = answer at slice 12 : :
return tuple name answer_type answer_clas... | def _parse_answer(answer):
name = answer[0:2]
answer_type = answer[2:4]
answer_class = answer[4:6]
ttl = answer[6:10]
data_length = answer[10:12]
address = answer[12:]
return (
name,
answer_type,
answer_class,
ttl,
data_length,
address
) | Python | nomic_cornstack_python_v1 |
function show_all_thumbnails label=string j022708p4901_00273 filters=list string visb string visr string y string j string h scale_ab=21 close=true thumb_height=2.0 rgb_params=RGB_PARAMS
begin
import glob
comment from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
import astropy.io.fits as pyfits
f... | def show_all_thumbnails(label='j022708p4901_00273', filters=['visb', 'visr', 'y', 'j', 'h'], scale_ab=21, close=True, thumb_height=2., rgb_params=RGB_PARAMS):
import glob
#from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
import astropy.io.fits as pyfits
from as... | Python | nomic_cornstack_python_v1 |
function item4 self
begin
return if expression item4 then call get_item item4 else none
end function | def item4(self):
return cassiopeia.riotapi.get_item(self.data.item4) if self.data.item4 else None | Python | nomic_cornstack_python_v1 |
function calculate_link app need_info
begin
try
begin
if need_info at string is_external
begin
set link = need_info at string external_url
end
else
begin
set link = string ../ + call get_target_uri need_info at string docname + string # + need_info at string target_node at string refid
if need_info at string is_part
be... | def calculate_link(app, need_info):
try:
if need_info["is_external"]:
link = need_info["external_url"]
else:
link = "../" + app.builder.get_target_uri(need_info["docname"]) + "#" + need_info["target_node"]["refid"]
if need_info["is_part"]:
link = f... | Python | nomic_cornstack_python_v1 |
function step_changes self
begin
return copy call _get_deltas
end function | def step_changes(self) -> pd.Series:
return self._get_deltas().copy() | Python | nomic_cornstack_python_v1 |
function animate_2d t im1 im2 u_hat u
begin
call set_array detach t dist
call set_array detach t dist
end function | def animate_2d(t, im1, im2, u_hat, u):
im1.set_array(u_hat[t,:,:].squeeze().t().detach())
im2.set_array(u[t,:,:].squeeze().t().detach()) | Python | nomic_cornstack_python_v1 |
function iter_all_multipass_groups self
begin
return call from_iterable generator expression call get_identity_groups identifier for x in identities if provider != string indico and provider in identity_providers
end function | def iter_all_multipass_groups(self):
return itertools.chain.from_iterable(multipass.identity_providers[x.provider].get_identity_groups(x.identifier)
for x in self.identities
if x.provider != 'indico' and x.provider in mult... | Python | nomic_cornstack_python_v1 |
function status logger
begin
string Creates a one-line summary on the actions that were logged by the given Logger. :type logger: Logger :param logger: The logger that recorded what happened in the queue. :rtype: string :return: A string summarizing the status.
set aborted = call get_aborted_actions
set succeeded = cal... | def status(logger):
"""
Creates a one-line summary on the actions that were logged by the given
Logger.
:type logger: Logger
:param logger: The logger that recorded what happened in the queue.
:rtype: string
:return: A string summarizing the status.
"""
aborted = logger.get_aborte... | Python | jtatman_500k |
comment while응용
import random
comment 난수 발생 1~100
string com=random.randrange(1,101) #1~100사이의 난수 발생 count=0 while True: #무한루프 #사용자의 입력값을 받는다 user=int(input("1~100까지 사이의 숫자를 입력:")) count+=1 #비교후에 힌트 제공 if com>user: print(f"{user}보다 큰 수를 입력히세요") elif com<user: print(f"{user}보다 작은 수를 입력하세요") else: print(f"정답입니다!!,입력횟수={c... | # while응용
import random
#난수 발생 1~100
'''
com=random.randrange(1,101) #1~100사이의 난수 발생
count=0
while True: #무한루프
#사용자의 입력값을 받는다
user=int(input("1~100까지 사이의 숫자를 입력:"))
count+=1
#비교후에 힌트 제공
if com>user:
print(f"{user}보다 큰 수를 입력히세요")
elif com<user:
print(f"{user}보... | Python | zaydzuhri_stack_edu_python |
function getAy self
begin
return components at 1
end function | def getAy(self):
return self.motion.acceleration.components[1] | Python | nomic_cornstack_python_v1 |
import sys
from datetime import datetime
from xml import sax
comment import pymongo
import psycopg2
class Handler extends ContentHandler
begin
function __init__ self callback
begin
set level = - 1
set collection = none
set document = none
set item_name = none
set data = list
set callback = callback
end function
functi... | import sys
from datetime import datetime
from xml import sax
#import pymongo
import psycopg2
class Handler(sax.handler.ContentHandler):
def __init__(self, callback):
self.level = -1
self.collection = None
self.document = None
self.item_name = None
self.data = []
self... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string Created on Sat Jul 14 10:21:17 2018 @author: Paul Festor
import numpy as np
from random import shuffle
import matplotlib.pyplot as plt
class Perceptron
begin
function __init__ self sizes seeEpochsProgression=false cost=string mean_squared savePlots=fals... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jul 14 10:21:17 2018
@author: Paul Festor
"""
import numpy as np
from random import shuffle
import matplotlib.pyplot as plt
class Perceptron:
def __init__(self, sizes, seeEpochsProgression = False,
cost = "mean_squared", sav... | Python | zaydzuhri_stack_edu_python |
function menu_dispatch prompt menu
begin
while true
begin
try
begin
set response = upper input prompt
if call == string quit
begin
break
end
end
except KeyError
begin
print string { response } is not an option
end
end
end function | def menu_dispatch(prompt, menu):
while True:
try:
response = input(prompt).upper()
if menu[response]() == "quit":
break
except KeyError:
print(f"{response} is not an option") | Python | nomic_cornstack_python_v1 |
function bubble_sort arr
begin
set n = length arr
comment Traverse through all array elements
for i in range n
begin
comment Last i elements are already in place
for j in range 0 n - i - 1
begin
comment Traverse the array from 0 to n-i-1. Swap if the element found is greater than the next element
if arr at j > arr at j... | def bubble_sort(arr):
n = len(arr)
# Traverse through all array elements
for i in range(n):
# Last i elements are already in place
for j in range(0, n-i-1):
# Traverse the array from 0 to n-i-1. Swap if the element found is greater than the next element
if arr[j] > ar... | Python | jtatman_500k |
import openpyxl
set wb = call load_workbook string example.xlsx
print type wb
print sheetnames
set sheet = wb at string Sheet3
print sheet
print title
set sheet = active
print sheet
print sheet at string A1
print value
set c = sheet at string B1
print value
print string Row + string row + string , Column + string colum... | import openpyxl
wb=openpyxl.load_workbook('example.xlsx')
print(type(wb))
print(wb.sheetnames)
sheet=wb['Sheet3']
print(sheet)
print(sheet.title)
sheet=wb.active
print(sheet)
print(sheet['A1'])
print(sheet['A1'].value)
c=sheet['B1']
print(c.value)
print('Row '+str(c.row)+', Column '+str(c.column)+' is '+c.value)
prin... | Python | zaydzuhri_stack_edu_python |
function record self data
begin
with open _file string wb as fp
begin
info string Writing %s to file %s data _file
dump data fp
end
end function | def record(self, data):
with open(self._file, 'wb') as fp:
LOGGER.info("Writing %s to file %s", data, self._file)
pickle.dump(data, fp) | Python | nomic_cornstack_python_v1 |
function getContextBytes self
begin
Ellipsis
end function | def getContextBytes(self) -> List[int]:
... | Python | nomic_cornstack_python_v1 |
from abc import ABC , abstractmethod
from pedeval.experiment_design import ExperimentDesign
import warnings
import numpy as np
from scipy.stats import percentileofscore
class BootstrapMeanEvaluation extends ABC
begin
function __init__ self n_init_samples=100 n_bootstrap_mean_samples=100 **kwargs
begin
set initial_sampl... | from abc import ABC, abstractmethod
from pedeval.experiment_design import ExperimentDesign
import warnings
import numpy as np
from scipy.stats import percentileofscore
class BootstrapMeanEvaluation(ABC):
def __init__(self, n_init_samples: int = 100, n_bootstrap_mean_samples: int = 100, **kwargs):
self.ini... | Python | zaydzuhri_stack_edu_python |
from PIL import Image
from auth_server import *
from error import *
from other import *
import pytest
from storage import data
from json import dumps
import requests
import urllib
from flask import Flask , request
from storage import data
string Given a URL of an image on the internet, crops the image within bounds (x_... | from PIL import Image
from auth_server import *
from error import *
from other import *
import pytest
from storage import data
from json import dumps
import requests
import urllib
from flask import Flask, request
from storage import data
'''
Given a URL of an image on the internet, crops the image within bounds (x_star... | Python | zaydzuhri_stack_edu_python |
function is_active self
begin
return not pending
end function | def is_active(self):
return not self.pending | Python | nomic_cornstack_python_v1 |
function ifinbroadcastpkts self oidonly=false
begin
comment Initialize key variables
set data_dict = default dictionary dict
comment Process OID
set oid = string .1.3.6.1.2.1.31.1.1.1.3
comment Return OID value. Used for unittests
if oidonly is true
begin
return oid
end
comment Process results
set results = walk oid no... | def ifinbroadcastpkts(self, oidonly=False):
# Initialize key variables
data_dict = defaultdict(dict)
# Process OID
oid = '.1.3.6.1.2.1.31.1.1.1.3'
# Return OID value. Used for unittests
if oidonly is True:
return oid
# Process results
result... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
comment @Author : Rock Wayne
comment @Created : 2020-07-22 21:53:49
comment @Last Modified : 2020-07-22 21:53:49
comment @Mail : lostlorder@gmail.com
comment @Version : 1.0.0
string # 给定一个会议时间安排的数组，每个会议时间都会包括开始和结束的时间 [[s1,e1],[s2,e2],...] (si < ei)，为避免会议冲突，同时要考... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author : Rock Wayne
# @Created : 2020-07-22 21:53:49
# @Last Modified : 2020-07-22 21:53:49
# @Mail : lostlorder@gmail.com
# @Version : 1.0.0
"""
# 给定一个会议时间安排的数组，每个会议时间都会包括开始和结束的时间 [[s1,e1],[s2,e2],...] (si < ei)，为避免会议冲突，同时要考虑
# 充分利用会议室资源，请你... | Python | zaydzuhri_stack_edu_python |
import os
import shutil
import yaml
import scripts.sort as sort
comment Relative paths to Desktop
set Desktop = join path environ at string HOMEPATH string Desktop
set desktop_files = list directory Desktop
comment Relative paths to Downloads dir
set Downloads = join path environ at string HOMEPATH string Downloads
set... | import os
import shutil
import yaml
import scripts.sort as sort
# Relative paths to Desktop
Desktop = os.path.join(os.environ["HOMEPATH"], 'Desktop')
desktop_files = os.listdir(Desktop)
# Relative paths to Downloads dir
Downloads = os.path.join(os.environ["HOMEPATH"], 'Downloads')
Downloads_files = os.list... | Python | zaydzuhri_stack_edu_python |
while salir != string y
begin
set contador = contador + 1
set nota = integer input string Ingrese la nota de su clase %d: % contador
append notas_clases nota
set salir = input string ¿Desea salir? y/n:
end
set total_notas = 0
for nota in notas_clases
begin
set total_notas = total_notas + nota
end
set promedio = total_n... | while salir != 'y':
contador += 1
nota = int (input("Ingrese la nota de su clase %d: " % contador))
notas_clases.append(nota)
salir = input("¿Desea salir? y/n: ")
total_notas = 0
for nota in notas_clases:
total_notas += nota
promedio = (total_notas / contador)
print("Su promedio es: %d" % promedio )
if promed... | Python | zaydzuhri_stack_edu_python |
function getTypeCode self
begin
return call SpeciesFeature_getTypeCode self
end function | def getTypeCode(self):
return _libsbml.SpeciesFeature_getTypeCode(self) | Python | nomic_cornstack_python_v1 |
function forward self x y
begin
for module in call children
begin
set tuple x y = call module x y
end
return tuple x y
end function | def forward(self, x, y):
for module in self.children():
x, y = module(x, y)
return x, y | Python | nomic_cornstack_python_v1 |
comment SETELAH DIUBAH SESUAI INTRUKSI
set laptop = 2
print string Jumlah Laptop: laptop | #SETELAH DIUBAH SESUAI INTRUKSI
laptop = 2
print("Jumlah Laptop: ",(laptop)) | Python | zaydzuhri_stack_edu_python |
function capitalize sentence
begin
set new_word_list = list
for word in split sentence
begin
append new_word_list capitalize word
end
set new_sentence = join string new_word_list
return new_sentence
end function | def capitalize(sentence):
new_word_list = [ ]
for word in sentence.split():
new_word_list.append(word.capitalize())
new_sentence = ' '.join(new_word_list)
return new_sentence | Python | nomic_cornstack_python_v1 |
function post self request *args **kwargs
begin
set employee_mapping_payload = data
call assert_valid employee_mapping_payload is not none string Request body is empty
set mapping_utils = call MappingUtils kwargs at string workspace_id
set employee_mapping_object = call create_or_update_employee_mapping employee_mappin... | def post(self, request, *args, **kwargs):
employee_mapping_payload = request.data
assert_valid(employee_mapping_payload is not None, 'Request body is empty')
mapping_utils = MappingUtils(kwargs['workspace_id'])
employee_mapping_object = mapping_utils.create_or_update_employee_mapping(e... | Python | nomic_cornstack_python_v1 |
function get_loss self get_rating neighbors_num=0
begin
set id_pairs = zip customer_vendor_ratings at string customer_id customer_vendor_ratings at string vendor_id
set y_pred = array list comprehension call get_rating customer vendor neighbors_num for tuple customer vendor in id_pairs
set y_true = array customer_vendo... | def get_loss(self, get_rating, neighbors_num=0):
id_pairs = zip(self.customer_vendor_ratings['customer_id'],
self.customer_vendor_ratings['vendor_id'])
y_pred = np.array([get_rating(customer, vendor, neighbors_num) for (customer, vendor) in id_pairs])
y_true = np.array... | Python | nomic_cornstack_python_v1 |
comment Function checker => checks is last element breaks the pattern or not
comment Parameters:
comment per => partial solution
function checker per
begin
set i = length per - 1
for j in range i
begin
if i - j == absolute per at i - per at j
begin
return false
end
end
return true
end function
comment Function solver =... | # Function checker => checks is last element breaks the pattern or not
# Parameters:
# per => partial solution
def checker(per):
i=len(per)-1
for j in range(i):
if( i-j == abs(per[i]-per[j])):
return False
return True
# Function solver => Generates the solution list.
# Parameters:
# pe... | Python | zaydzuhri_stack_edu_python |
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