code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function split_at_char token list_char
begin
set new_str = string
for char in token
begin
set new_str = new_str + char
comment return after adding ':'
if char in list_char
begin
return new_str
end
end
return token
end function | def split_at_char(token, list_char):
new_str = ''
for char in token:
new_str += char
if char in list_char: return new_str # return after adding ':'
return token | Python | nomic_cornstack_python_v1 |
function softplus x
begin
return call logaddexp x 0
end function | def softplus(x):
return T.logaddexp(x, 0) | Python | nomic_cornstack_python_v1 |
function plot_distances embeddings_matrix
begin
import matplotlib.pyplot as plt
set distances = list
for tuple row1 row2 in call combinations embeddings_matrix 2
begin
set distance = square root sum call power row1 - row2 2
append distances distance
end
histogram distances bins=length distances / 50
x label string Dis... | def plot_distances(embeddings_matrix):
import matplotlib.pyplot as plt
distances = []
for row1, row2 in it.combinations(embeddings_matrix, 2):
distance = np.sqrt(np.sum(np.power(row1-row2, 2)))
distances.append(distance)
plt.hist(distances, bins = len(distances)/50)
plt.xlabel("Dist... | Python | nomic_cornstack_python_v1 |
set c = input string 今天溫度(攝氏):
set f = decimal c * 9 / 5 + 32
print string 華氏溫度為: f | c = input('今天溫度(攝氏): ')
f = float(c) * (9/5) + 32
print('華氏溫度為: ', f) | Python | zaydzuhri_stack_edu_python |
string Lab 8.1 - Tính chiều cao của cây Giới thiệu bài toán Cây được sử dụng để thao tác với dữ liệu phân cấp chẳng hạn như hệ thống phân cấp các danh mục của một nhà bán lẻ hoặc cấu trúc thư mục trên máy tính của bạn. Chúng cũng được sử dụng trong phân tích dữ liệu và học máy cho cả phân cụm thứ bậc và xây dựng các mô... | """
Lab 8.1 - Tính chiều cao của cây
Giới thiệu bài toán
Cây được sử dụng để thao tác với dữ liệu phân cấp chẳng hạn như hệ thống phân cấp các danh mục
của một nhà bán lẻ hoặc cấu trúc thư mục trên máy tính của bạn. Chúng cũng được sử dụng trong
phân tích dữ liệu và học máy cho cả phân cụm thứ bậc và xây dựng các mô h... | Python | zaydzuhri_stack_edu_python |
function get_interface_for_device self device_id interface_id
begin
set url = string ipam/instances/%s/interfaces/%s % tuple device_id interface_id
set res = loads get self url
return res at string interface
end function | def get_interface_for_device(self, device_id, interface_id):
url = 'ipam/instances/%s/interfaces/%s' % (device_id, interface_id)
res = json.loads(self.get(url))
return res['interface'] | Python | nomic_cornstack_python_v1 |
function get_all_tags
begin
set path = string https://dev.lunchmoney.app/v1/tags
set response = get session path
return json response
end function | def get_all_tags() -> dict:
path = 'https://dev.lunchmoney.app/v1/tags'
response = session.get(path)
return response.json() | Python | nomic_cornstack_python_v1 |
string Задание # 5 Программа запрашивает у пользователя строку чисел, разделенных пробелом. При нажатии Enter должна выводиться сумма чисел. Пользователь может продолжить ввод чисел, разделенных пробелом и снова нажать Enter. Сумма вновь введенных чисел будет добавляться к уже подсчитанной сумме. Но если вместо числа в... | '''
Задание # 5
Программа запрашивает у пользователя строку чисел, разделенных пробелом. При нажатии
Enter должна выводиться сумма чисел. Пользователь может продолжить ввод чисел,
разделенных пробелом и снова нажать Enter. Сумма вновь введенных чисел будет
добавляться к уже подсчитанной сумме. Но если вместо числа вво... | Python | zaydzuhri_stack_edu_python |
import time
import json
comment python3 urllib 和 urllib2 合并为urllib
import urllib
from urllib import request
from conf import settings
class ClientHandle extends object
begin
function __init__ self
begin
set monitored_services = dict
end function
function load_latest_config self
begin
string load the latest monitor con... | import time
import json
#python3 urllib 和 urllib2 合并为urllib
import urllib
from urllib import request
from conf import settings
class ClientHandle(object):
def __init__(self):
self.monitored_services = {}
def load_latest_config(self):
'''
load the latest monitor configs from monitor ... | Python | zaydzuhri_stack_edu_python |
import unittest
from pprint import pprint
from auro.c.includes import *
class TestIncludes extends TestCase
begin
comment def test_some_stuff(self):
comment include = Include();
comment include.name = 'bla'
comment print("█ include:")
function test_find_includes self
begin
set buff = list string #include <iostream> str... | import unittest
from pprint import pprint
from auro.c.includes import *
class TestIncludes(unittest.TestCase):
# def test_some_stuff(self):
# include = Include();
# include.name = 'bla'
# print("█ include:")
def test_find_includes(self):
buff = ['#include <iostrea... | Python | zaydzuhri_stack_edu_python |
set nums = list 1 2 3 4 5
set even_nums = filter lambda e -> e % 2 == 0 nums
print *even_nums
set even_nums = list filter lambda e -> e % 2 == 0 nums
print even_nums | nums = [1, 2, 3, 4, 5]
even_nums = filter(lambda e: e % 2 ==0, nums )
print(*even_nums)
even_nums = list(filter(lambda e: e % 2 ==0, nums ))
print(even_nums)
| Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Wed Oct 19 20:47:05 2016 @author: ZJun
import pandas as pd
import numpy as np
from datetime import datetime
from datetime import timedelta
import matplotlib.pyplot as plt
from sklearn.decomposition import PCA
set path1 = string ./Data/WIFITAPTag_Mean_All.csv
set path2 = s... | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 19 20:47:05 2016
@author: ZJun
"""
import pandas as pd
import numpy as np
from datetime import datetime
from datetime import timedelta
import matplotlib.pyplot as plt
from sklearn.decomposition import PCA
path1 = './Data/WIFITAPTag_Mean_All.csv'
path2 = './Data/sch... | Python | zaydzuhri_stack_edu_python |
for i in range 1 N + 1
begin
set n = n * i
set n = n % 10 ^ 9 + 7
end
print n | for i in range(1, N + 1):
n *= i
n %= (10**9 + 7)
print(n) | Python | zaydzuhri_stack_edu_python |
function create_dataset
begin
import random
set r = 50
set f = open string venky.txt string w
for _ in range r
begin
set current = random choice a
write f current + string
end
close f
end function
call create_dataset | def create_dataset():
import random
r=50
f=open("venky.txt","w")
for _ in range(r):
current=random.choice(a)
f.write(current+"\n")
f.close()
create_dataset()
| Python | zaydzuhri_stack_edu_python |
comment To add a new cell, type '# %%'
comment To add a new markdown cell, type '# %% [markdown]'
comment %%
import speech_recognition as sr
import pandas as pd
import csv
from bs4 import BeautifulSoup
import urllib.parse
import urllib.request
import re
from gtts import gTTS
import vlc
import time
comment How can Sacha... | # To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %%
import speech_recognition as sr
import pandas as pd
import csv
from bs4 import BeautifulSoup
import urllib.parse
import urllib.request
import re
from gtts import gTTS
import vlc
import time
def recognize_system(audio_stt): ... | Python | zaydzuhri_stack_edu_python |
function toDict datastorage_obj recursive=true
begin
string convert a DataStorage object to a dictionary (useful for saving); it should work for other objects too
comment if not a DataStorage, convert to it first
if string items not in directory datastorage_obj
begin
set datastorage_obj = call DataStorage datastorage_o... | def toDict(datastorage_obj, recursive=True):
""" convert a DataStorage object to a dictionary (useful for saving); it should work for other objects too
"""
# if not a DataStorage, convert to it first
if "items" not in dir(datastorage_obj): datastorage_obj = DataStorage(datastorage_obj)
return _toDi... | Python | jtatman_500k |
string Program: lottery.py Anthor: Li Chan Project: Lottery Quick Pick This program generates 5 random numbers between 1 and 50. By clicking the Quick Pick button,the computer randomly selects the numbers for you.
from tkinter import *
import random
comment This function generates 5 random numbers between 1 and 50.
fun... | """
Program: lottery.py
Anthor: Li Chan
Project: Lottery Quick Pick
This program generates 5 random numbers between 1 and 50. By clicking the Quick Pick button,the computer randomly selects the numbers for you.
"""
from tkinter import *
import random
# This function generates 5 random numbers between 1 an... | Python | zaydzuhri_stack_edu_python |
function ques_to_bboxes_per_image self obj_color_keywords_to_bboxes
begin
set all_ques_to_bboxes_per_image = dictionary
for tuple keywords bboxes in items obj_color_keywords_to_bboxes
begin
comment split the objects name and color name
set tuple obj_name color_name = call rsplit string 1
set prefix = random choice pre... | def ques_to_bboxes_per_image(self, obj_color_keywords_to_bboxes):
all_ques_to_bboxes_per_image = dict()
for keywords, bboxes in obj_color_keywords_to_bboxes.items():
# split the objects name and color name
obj_name, color_name = keywords.rsplit(" ", 1)
prefix = random... | Python | nomic_cornstack_python_v1 |
function _plot_stand_ser_corr_coff self ax
begin
comment get the raw residuals
set res = fit _model
set resid = array resid
set resid = call expand_dims resid axis=0
comment expand the residuals and time values into matrices
set resid_matrix = call tile resid tuple integer nobs 1
set time_matrix = call tile index tuple... | def _plot_stand_ser_corr_coff(self, ax):
# get the raw residuals
res = self._model.fit()
resid = np.array(res.resid)
resid = np.expand_dims(resid, axis=0)
# expand the residuals and time values into matrices
resid_matrix = np.tile(res.resid, (int(res.nobs), 1))
... | Python | nomic_cornstack_python_v1 |
function _topk_attention self Q K V clusters counts topk topk_values A_bottomk softmax_temp query_lengths
begin
comment Extract some indices
set tuple N H L E = shape
set tuple _ _ S _ = shape
set tuple _ _ C k = shape
comment We need to pass the output tensor to initialize to 0
set QK = call clustered_sparse_dot_produ... | def _topk_attention(self, Q, K, V,
clusters, counts,
topk, topk_values,
A_bottomk, softmax_temp,
query_lengths):
# Extract some indices
N, H, L, E = Q.shape
_, _, S, _ = K.shape
_, _, C, k = t... | Python | nomic_cornstack_python_v1 |
string user_info={'first_name':'','last_name':''} first_name= input('введите имя') user_info['first_name']= first_name last_name= input('введите фамилию') user_info['last_name']= last_name print(user_info)
function get_summ one two
begin
set get_summ1 = upper one + two
return get_summ1
end function
print call get_summ ... | '''user_info={'first_name':'','last_name':''}
first_name= input('введите имя')
user_info['first_name']= first_name
last_name= input('введите фамилию')
user_info['last_name']= last_name
print(user_info)'''
def get_summ(one, two):
get_summ1= (one + two).upper()
return get_summ1
print (get_summ('helo', 'world'))
| Python | zaydzuhri_stack_edu_python |
function to_dict self
begin
set result = dict
for tuple attr _ in call iteritems openapi_types
begin
set value = get attribute self attr
if is instance value list
begin
set result at attr = list map lambda x -> if expression has attribute x string to_dict then call to_dict else x value
end
else
if has attribute value ... | def to_dict(self):
result = {}
for attr, _ in six.iteritems(self.openapi_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
... | Python | nomic_cornstack_python_v1 |
function hist_plot self df_group feature plotname=string hist_plot.png bin_count=36
begin
comment plot the given data frequency count (i.e. feature column)
histogram df_group at feature bins=list range bin_count
comment plt.hist(df_group[feature], bins=range(0,150))
comment Add title and axis names
title plt string His... | def hist_plot(self, df_group, feature, plotname="hist_plot.png", bin_count=36):
## plot the given data frequency count (i.e. feature column)
plt.hist(df_group[feature], bins=list(range(bin_count)))
#plt.hist(df_group[feature], bins=range(0,150))
# Add title and axis names
... | Python | nomic_cornstack_python_v1 |
set a = integer input string enter first number :
set b = integer input string enter second number :
while b != 0
begin
set t = b
set b = a % b
set a = t
end
print a | a=int(input("enter first number :"))
b=int(input("enter second number :"))
while(b!=0):
t=b
b=a%b
a= t
print(a)
| Python | zaydzuhri_stack_edu_python |
class Hangman
begin
function __init__ self word
begin
set word = word
set attempts = 10
end function
function get_attempts self
begin
return attempts
end function
function get_word self
begin
return word
end function
function encrypt_word self
begin
set wList = list
set eList = list
set output = string
for letter in... | class Hangman():
def __init__(self, word):
self.word = word
self.attempts = 10
def get_attempts(self):
return self.attempts
def get_word(self):
return self.word
def encrypt_word(self):
self.wList = []
self.eList = []
output = ""
for letter in self.word:
self.wList.append(letter)
self.eLis... | Python | zaydzuhri_stack_edu_python |
function format_case self range
begin
if range at 0 == range at 1
begin
comment self.formatter.get_unicode_char_name(range[0])
return string range at 0
end
else
begin
return string range at 0 + string to + string range at 1
end
end function
comment "{minv} To {maxv}".format(
comment minv = self.formatter.get_unicode_ch... | def format_case(self, range):
if range[0] == range[1]:
return str(range[0])#self.formatter.get_unicode_char_name(range[0])
else:
return str(range[0]) + " to " + str(range[1])
#"{minv} To {maxv}".format(
#minv = self.formatter.get_unicode_char_nam... | Python | nomic_cornstack_python_v1 |
function TestFlush numbers suits
begin
if length set suits == 1
begin
set highCardsInOrder = list
for i in range length numberCards - 1 - 1 - 1
begin
if numberCards at i in numbers
begin
append highCardsInOrder numberCards at i
end
end
return tuple true highCardsInOrder
end
return tuple false list
end function
functi... | def TestFlush(numbers,suits):
if len(set(suits)) == 1:
highCardsInOrder=[]
for i in range(len(numberCards)-1,-1,-1):
if numberCards[i] in numbers:
highCardsInOrder.append(numberCards[i])
return (True,highCardsInOrder)
return (False,[])
def TestStraight(numbers... | Python | zaydzuhri_stack_edu_python |
string En este script Exploracion realizamos una exploracion basica pero efectiva de los datos que nos permitira tomar decisiones sobre el tratamiento de los mismos para el reto Altamira Stock Prediction del Datathon Cajamar UniversityHack 2021, realizado por sus miembros: Manuel Bueno Gómez, Pablo Santos Ortiz y Jaime... | '''En este script Exploracion realizamos una exploracion basica pero efectiva de los datos
que nos permitira tomar decisiones sobre el tratamiento de los mismos para el reto Altamira Stock Prediction
del Datathon Cajamar UniversityHack 2021,
realizado por sus miembros: Manuel Bueno Gómez, Pablo Santos Ortiz y Jai... | Python | zaydzuhri_stack_edu_python |
from datetime import date , time , datetime , timedelta
function trabalhando_com_date
begin
set data_atual = today
print string format time data_atual string %d/%m/%Y
print string format time data_atual string %A %B %Y
end function
function trabalhando_com_time
begin
set horario = time hour=15 minute=18 second=30
set h... | from datetime import date, time, datetime, timedelta
def trabalhando_com_date():
data_atual = date.today()
print(data_atual.strftime('%d/%m/%Y'))
print(data_atual.strftime('%A %B %Y'))
def trabalhando_com_time():
horario = time(hour=15,minute=18,second=30)
horario_str = horario.strftime('%H:%M:%S'... | Python | zaydzuhri_stack_edu_python |
function posterior_distr self y **args
begin
raise NotImplementedError
end function | def posterior_distr(self, y, **args):
raise NotImplementedError | Python | nomic_cornstack_python_v1 |
function eval_model self
begin
if not modeled
begin
raise call RuntimeError string Run a regression method first!
end
comment As inputs are centered, we must add the intercept manually.
return X_test - mean np X_train axis=0 @ beta + mean np z_train
end function | def eval_model(self):
if not self.modeled:
raise RuntimeError("Run a regression method first!")
# As inputs are centered, we must add the intercept manually.
return ((self.X_test - np.mean(self.X_train, axis=0)) @ self.beta) + np.mean(
self.z_train
) | Python | nomic_cornstack_python_v1 |
comment Different ways to handle numbers in python
comment python always makes input a string
set num1 = input string Enter a number:
comment need to convert into numbers
set num2 = input string Enter another number:
comment will print as first and second appended
set result = num1 + num2
print result
comment python al... | # Different ways to handle numbers in python
num1 = input("Enter a number: ") # python always makes input a string
num2 = input("Enter another number: ") # need to convert into numbers
result = num1 + num2 # will print as first and second appended
print(result)
num1 = input("Enter a number: ") # python always makes inp... | Python | zaydzuhri_stack_edu_python |
comment , date, shares
function enter_short self symbol
begin
set short_open at symbol = true
return self
end function | def enter_short(self, symbol): #, date, shares
self.short_open[symbol] = True
return self | Python | nomic_cornstack_python_v1 |
function state self
begin
return _state
end function | def state(self):
return self._state | Python | nomic_cornstack_python_v1 |
function validate schedule schedule_name value_name
begin
if schedule is not none
begin
if not is instance schedule tuple list tuple or length schedule < 2
begin
raise call ValueError string Invalid ` { schedule_name } ` ( { schedule } ) specified! Must be a list of at least 2 tuples, each of the form (`timestep`, ` { ... | def validate(
schedule: Optional[List[Tuple[int, float]]],
schedule_name: str,
value_name: str,
) -> None:
if schedule is not None:
if not isinstance(schedule, (list, tuple)) or (len(schedule) < 2):
raise ValueError(
f"Invalid `{schedul... | Python | nomic_cornstack_python_v1 |
function test_page_getattr_should_not_exist test_page
begin
call navigate
with raises AttributeError
begin
assert call foobar
end
end function | def test_page_getattr_should_not_exist(test_page):
test_page.navigate()
with pytest.raises(AttributeError):
assert test_page.foobar() | Python | nomic_cornstack_python_v1 |
import os
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
set currentDirectory = get current directory
set days_margin = 18
comment Leemos el archivo csv con los casos
set confirmed_df = read csv currentDirectory + string \data_world\time_series_19-covid-Confirmed.csv
comment deaths_df = pd.read_... | import os
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
currentDirectory = os.getcwd()
days_margin = 18
# Leemos el archivo csv con los casos
confirmed_df = pd.read_csv(currentDirectory + "\\data_world\\time_series_19-covid-Confirmed.csv")
# deaths_df = pd.read_csv(currentDirectory + "\\da... | Python | zaydzuhri_stack_edu_python |
from import db
from datetime import datetime
from werkzeug.security import check_password_hash , generate_password_hash
from flask_login import UserMixin
class User extends UserMixin Model
begin
set id = call Column Integer primary_key=true
set name = call Column call String 80 unique=true nullable=false
set password ... | from . import db
from datetime import datetime
from werkzeug.security import check_password_hash, generate_password_hash
from flask_login import UserMixin
class User(UserMixin, db.Model):
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(80), unique=True, nullable=False)
password = d... | Python | zaydzuhri_stack_edu_python |
import sys , json
set f = open argv at 1 string r
set input = load json f
for card in range length input
begin
print string " + input at card at string front + string " + string + string " + input at card at string back + string "
end | import sys, json
f = open(sys.argv[1],'r')
input=json.load(f)
for card in range(len(input)):
print('"' + input[card]['front'] + '"' +'\t' + '"' + input[card]['back'] + '"')
| Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string @Time : 2019/3/13 22:50 @File : 5-longestPalindrome.py @Author : ZZShi @Difficulty ：middle @Question : 最长回文子串 @Describe : 给定一个字符串 s，找到 s 中最长的回文子串。你可以假设 s 的最大长度为 1000。
import doctest
class Solution
begin
function longestPalindrome self s
begin
string :type s: str :rtype: str >>> Solu... | # -*- coding: utf-8 -*-
"""
@Time : 2019/3/13 22:50
@File : 5-longestPalindrome.py
@Author : ZZShi
@Difficulty ：middle
@Question : 最长回文子串
@Describe : 给定一个字符串 s，找到 s 中最长的回文子串。你可以假设 s 的最大长度为 1000。
"""
import doctest
class Solution:
def longestPalindrome(self, s):
"""
:type s: str... | Python | zaydzuhri_stack_edu_python |
for tuple i j in enumerate array
begin
if i < m
begin
append newArr j
end
end
for i in reversed newArr
begin
print i end=string
end | for i, j in enumerate(array):
if(i < m):
newArr.append(j)
for i in reversed(newArr):
print(i, end = " ") | Python | zaydzuhri_stack_edu_python |
import numpy as np
set theta = call matrix string 0.9 0.2; 0.1 0.8
set phi = call matrix string 0.1 0.3; 0.2 0.0; 0.4 0.3; 0.0 0.3; 0.3 0.1
set x_0 = call matrix string 0.6 0.4
set T = 5
set y = list 3 3 0 4 2
comment y = [0, 0, 0, 0, 0]
comment y = [4]
function hmm theta phi x_0 y T
begin
comment Hidden Markov Model f... | import numpy as np
theta = np.matrix("0.9 0.2; 0.1 0.8")
phi = np.matrix("0.1 0.3; 0.2 0.0; 0.4 0.3; 0.0 0.3; 0.3 0.1")
x_0 = np.matrix("0.6 0.4")
T = 5
y = [3, 3, 0, 4, 2]
#y = [0, 0, 0, 0, 0]
#y = [4]
def hmm(theta, phi, x_0, y, T):
# Hidden Markov Model function
# Theta is the transition probability table... | Python | zaydzuhri_stack_edu_python |
function GetLineAtIndex self Index=defaultNamedNotOptArg
begin
return call _ApplyTypes_ 12 1 tuple 12 0 tuple tuple 3 1 string GetLineAtIndex none Index
end function | def GetLineAtIndex(self, Index=defaultNamedNotOptArg):
return self._ApplyTypes_(12, 1, (12, 0), ((3, 1),), u'GetLineAtIndex', None,Index
) | Python | nomic_cornstack_python_v1 |
class A
begin
function fun1 self
begin
print string Hello
end function
function fun2 self
begin
print string Welcome
end function
end class
comment Single level Inheritance
class B extends A
begin
function fun3 self
begin
print string Function 3 is working
end function
function fun4 self
begin
print string Function 4 i... | class A:
def fun1(self):
print("Hello")
def fun2(self):
print("Welcome")
class B(A):#Single level Inheritance
def fun3(self):
print("Function 3 is working")
def fun4(self):
print("Function 4 is working")
class C:
def fun5(self):
print("Thankyou")
class D(B,C):#Multiple Inheritance
def fun... | Python | zaydzuhri_stack_edu_python |
comment Ross van der Heyde VHYROS001
comment Assignment 3 question 4
comment Finds palidromic primes between 2 entered integers
comment Determines if a number is a prime or not
function isPrime x
begin
set prime = true
for i in range 2 x
begin
if x % i == 0
begin
set prime = false
break
end
end
return prime
end functio... | #Ross van der Heyde VHYROS001
#Assignment 3 question 4
# Finds palidromic primes between 2 entered integers
def isPrime(x): # Determines if a number is a prime or not
prime = True
for i in range(2,x):
if x % i==0:
prime= False
break
return prime
def isPalin(... | Python | zaydzuhri_stack_edu_python |
function invitation_code self
begin
return get pulumi self string invitation_code
end function | def invitation_code(self) -> str:
return pulumi.get(self, "invitation_code") | Python | nomic_cornstack_python_v1 |
function test_install_status_release_serialization self
begin
comment Construct a json representation of a InstallStatusRelease model
set install_status_release_model_json = dict
set install_status_release_model_json at string deployments = list dict
set install_status_release_model_json at string replicasets = list ... | def test_install_status_release_serialization(self):
# Construct a json representation of a InstallStatusRelease model
install_status_release_model_json = {}
install_status_release_model_json['deployments'] = [{}]
install_status_release_model_json['replicasets'] = [{}]
install_s... | Python | nomic_cornstack_python_v1 |
import sys
from collections import defaultdict , Counter
import sys
import os
from io import BytesIO , IOBase
comment Fast IO Region
set BUFSIZE = 8192
class FastIO extends IOBase
begin
set newlines = 0
function __init__ self file
begin
set _fd = call fileno
set buffer = call BytesIO
set writable = string x in mode or ... | import sys
from collections import defaultdict, Counter
import sys
import os
from io import BytesIO, IOBase
#Fast IO Region
BUFSIZE = 8192
class FastIO(IOBase):
newlines = 0
def __init__(self, file):
self._fd = file.fileno()
self.buffer = BytesIO()
self.writable = "x" in file.mode or "r... | Python | jtatman_500k |
function add_attempts self attempts
begin
string stub
if attempts is none
begin
raise call NullArgument string attempts cannot be None
end
if not call _is_valid_integer attempts call get_attempts_metadata
begin
raise call InvalidArgument string attempts
end
set _my_map at string attempts = attempts
end function | def add_attempts(self, attempts):
"""stub"""
if attempts is None:
raise NullArgument('attempts cannot be None')
if not self.my_osid_object_form._is_valid_integer(
attempts, self.get_attempts_metadata()):
raise InvalidArgument('attempts')
self.my_os... | Python | jtatman_500k |
import json
import requests
class User
begin
function __init__ self access_token
begin
set access_token = access_token
set headers_auth = dict string Content-Type string application/json ; string Authorization access_token
end function
function get_access_token self username password
begin
set headers = dict string Con... | import json
import requests
class User:
def __init__(self, access_token):
self.access_token = access_token
self.headers_auth = {
"Content-Type": "application/json",
"Authorization": access_token
}
def get_access_token(self, username, password):
hea... | Python | zaydzuhri_stack_edu_python |
function test_find_best_model self
begin
set parameters = dictionary model=tuple string spherical string gaussian string exponential string matern
set gs = grid search cv call VariogramEstimator n_lags=15 normalize=false parameters cv=3
set gs = fit gs c v
comment Python 3.6 yields 'exponential',
comment while 3.7, 3.8... | def test_find_best_model(self):
parameters = dict(
model=('spherical', 'gaussian', 'exponential', 'matern')
)
gs = GridSearchCV(
VariogramEstimator(n_lags=15, normalize=False),
parameters,
cv=3
)
gs = gs.fit(self.c, self.v)
... | Python | nomic_cornstack_python_v1 |
function memo_generator entry output_path
begin
try
begin
with open output_path string a+ encoding=string utf-8 as fp
begin
write fp entry
close fp
end
end
except Exception as e
begin
error format string Invalid output path. Error: {} e
end
end function | def memo_generator(entry, output_path):
try:
with open(output_path, 'a+', encoding='utf-8') as fp:
fp.write(entry)
fp.close()
except Exception as e:
logger.error("Invalid output path. Error: {}".format(e)) | Python | nomic_cornstack_python_v1 |
function running name restart=false remote_addr=none cert=none key=none verify_cert=true
begin
set ret = dict string name name ; string restart restart ; string remote_addr remote_addr ; string cert cert ; string key key ; string verify_cert verify_cert ; string changes dict
try
begin
set container = call name remote_... | def running(
name, restart=False, remote_addr=None, cert=None, key=None, verify_cert=True
):
ret = {
"name": name,
"restart": restart,
"remote_addr": remote_addr,
"cert": cert,
"key": key,
"verify_cert": verify_cert,
"changes": {},
}
try:
... | Python | nomic_cornstack_python_v1 |
function test_cds_invalid_coordinates self
begin
for i in tuple - 10 - 1 6 100
begin
assert is none call cds_coordinate_to_chromosome i
assert is none call cds_coordinate_to_transcript i
end
end function | def test_cds_invalid_coordinates(self):
for i in (-10, -1, 6, 100):
self.assertIsNone(self.t.cds_coordinate_to_chromosome(i))
self.assertIsNone(self.t.cds_coordinate_to_transcript(i)) | Python | nomic_cornstack_python_v1 |
function coordinates self
begin
return _coordinates
end function | def coordinates(self):
return self._coordinates | Python | nomic_cornstack_python_v1 |
from math import floor
function tax income
begin
if income < 10000.0
begin
return 0
end
else
if income < 30000.0
begin
return integer income - 10000.0 * 0.1
end
else
if income < 100000.0
begin
return floor 19999 * 0.1 + income - 30000.0 * 0.25
end
else
begin
return floor 19999 * 0.1 + 69999 * 0.25 + income - 100000.0 *... | from math import floor
def tax(income):
if income < 10e3:
return 0
elif income < 30e3:
return int((income - 10e3) * 0.1)
elif income < 100e3:
return floor(19999 * 0.1 + (income - 30e3) * 0.25)
else:
return floor(19999 * 0.1 + 69999 * 0.25 + (income - 100e3) * 0.4)
... | Python | zaydzuhri_stack_edu_python |
import numpy as np
from numpy import linalg as la
function omega_axis omega_prev_axis omega_tau time_delta
begin
set th = 1 / omega_tau
set sig = square root 2 * th / 3
return omega_prev_axis - th * omega_prev_axis * time_delta + sig * square root time_delta * call normal
end function
function omega_new omega_prev omeg... | import numpy as np
from numpy import linalg as la
def omega_axis(omega_prev_axis, omega_tau, time_delta):
th = 1 / omega_tau
sig = np.sqrt(2 * th / 3)
return omega_prev_axis - th * omega_prev_axis * time_delta + sig * np.sqrt(time_delta) * np.random.normal()
def omega_new(omega_prev, omega_tau, time_de... | Python | zaydzuhri_stack_edu_python |
import matplotlib
import pandas as pd
import matplotlib.pyplot as plt
comment read the csv
set data = string classification_importance.csv
comment date reader
set dateparse = lambda x -> string parse time x string %Y%m%d
comment read data
set df = read csv data parse_dates=list string Date date_parser=dateparse
set dat... | import matplotlib
import pandas as pd
import matplotlib.pyplot as plt
# read the csv
data='classification_importance.csv'
dateparse = lambda x: pd.datetime.strptime(x, '%Y%m%d') # date reader
df=pd.read_csv(data, parse_dates=['Date'], date_parser=dateparse) # read data
date=df['Date']
#openWater=df.iloc[:,1]
#veg... | Python | zaydzuhri_stack_edu_python |
function _create_optimizer self
begin
set model_params = parameters model
set optimizer_name = get config string optimizer string adam
info string optimizer: { optimizer_name }
if optimizer_name == string adam
begin
set kwargs = call filter_dict config list string lr string betas string eps string weight_decay string a... | def _create_optimizer(self) -> optim.Optimizer:
model_params = self.model.parameters()
optimizer_name = self.config.get("optimizer", "adam")
logger.info(f" optimizer: {optimizer_name}")
if optimizer_name == "adam":
kwargs = utils.filter_dict(
self.config, [... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python3
import argparse
from Crypto.Cipher import AES
from Crypto.Hash import SHA256
from Crypto.Random import get_random_bytes
import binascii
import logging
import sys
string Reverse the order of bits in a word that is bitwidth bits wide
function bitflip data_block bitwidth=32
begin
if bitwidth == 0... | #!/usr/bin/python3
import argparse
from Crypto.Cipher import AES
from Crypto.Hash import SHA256
from Crypto.Random import get_random_bytes
import binascii
import logging
import sys
"""
Reverse the order of bits in a word that is bitwidth bits wide
"""
def bitflip(data_block, bitwidth=32):
if bitwidth == 0:
... | Python | zaydzuhri_stack_edu_python |
function compute_ap recall precision
begin
comment Append sentinel values to beginning and end
set mrec = concatenate tuple list 0.0 recall list min recall at - 1 + 0.001 1.0
set mpre = concatenate tuple list 0.0 precision list 0.0
comment Compute the precision envelope
set mpre = call flip accumulate call flip mpre
co... | def compute_ap(recall, precision):
# Append sentinel values to beginning and end
mrec = np.concatenate(([0.], recall, [min(recall[-1] + 1E-3, 1.)]))
mpre = np.concatenate(([0.], precision, [0.]))
# Compute the precision envelope
mpre = np.flip(np.maximum.accumulate(np.flip(mpre)))
# Integrate... | Python | nomic_cornstack_python_v1 |
comment appending element of two arrays
import numpy as np
set x = input string enter array elemts of x
set y = input string enter array element of y | #appending element of two arrays
import numpy as np
x=input("enter array elemts of x")
y=input("enter array element of y") | Python | zaydzuhri_stack_edu_python |
function euclidean_proj_simplex v s=1
begin
assert s > 0 msg string Radius s must be strictly positive (%d <= 0) % s
comment will raise ValueError if v is not 1-D
set tuple n = shape
comment check if we are already on the simplex
if sum == s and call alltrue v >= 0
begin
comment best projection: itself!
return v
end
co... | def euclidean_proj_simplex(v, s=1):
assert s > 0, "Radius s must be strictly positive (%d <= 0)" % s
n, = v.shape # will raise ValueError if v is not 1-D
# check if we are already on the simplex
if v.sum() == s and np.alltrue(v >= 0):
# best projection: itself!
return v
# get the ar... | Python | nomic_cornstack_python_v1 |
function generate_field_spec row
begin
string Generate a set of metadata for each field/column in the data. This is loosely based on jsontableschema.
set names = set
set fields = list
for cell in row
begin
set name = call column_alias cell names
set field = dict string name name ; string title column ; string type low... | def generate_field_spec(row):
""" Generate a set of metadata for each field/column in
the data. This is loosely based on jsontableschema. """
names = set()
fields = []
for cell in row:
name = column_alias(cell, names)
field = {
'name': name,
'title': cell.colu... | Python | jtatman_500k |
function include_http_headers self
begin
return get pulumi self string include_http_headers
end function | def include_http_headers(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
return pulumi.get(self, "include_http_headers") | Python | nomic_cornstack_python_v1 |
function is_valid_config self config update=true
begin
set is_valid_sample = true
for footprint in footprints
begin
set is_valid_placement = true
for region in regions
begin
if call can_hold permeability
begin
continue
end
comment We place this check second as it is vastly more computational expensive, albeit
comment m... | def is_valid_config(self, config, update=True):
is_valid_sample = True
for footprint in config.footprints:
is_valid_placement = True
for region in self.regions:
if config.robot.can_hold(region.permeability):
continue
# We place ... | Python | nomic_cornstack_python_v1 |
from pytube import YouTube
import requests
from bs4 import BeautifulSoup
import time
import pickle
import os
import moviepy.editor as mp
class YoutubeDownloader
begin
function __init__ self
begin
pass
end function
function download_youtube self url path
begin
try
begin
set yt = call YouTube url
set l = length
if intege... | from pytube import YouTube
import requests
from bs4 import BeautifulSoup
import time
import pickle
import os
import moviepy.editor as mp
class YoutubeDownloader:
def __init__(self):
pass
def download_youtube(self, url, path):
try:
yt = YouTube(url)
l = yt.length
... | Python | zaydzuhri_stack_edu_python |
import boto3
import os
import json
import contextlib
from moviepy.editor import *
from moviepy import editor
from contextlib import closing
function writeAudio output_file stream
begin
set bytes = read stream
end function | import boto3
import os
import json
import contextlib
from moviepy.editor import *
from moviepy import editor
from contextlib import closing
def writeAudio( output_file, stream ):
bytes = stream.read()
| Python | zaydzuhri_stack_edu_python |
function edit_file metadata
begin
pass
end function | def edit_file(metadata):
pass | Python | nomic_cornstack_python_v1 |
import numpy as np
import pandas as pd
set credit_card = read csv string https://github.com/sophiarora/CreditCardFraud/raw/tryI/creditcard_viz.csv encoding=string utf-8
from bokeh.io import push_notebook , show , output_notebook
from bokeh.layouts import row , widgetbox
from bokeh.models import Select , ColumnDataSourc... | import numpy as np
import pandas as pd
credit_card = pd.read_csv('https://github.com/sophiarora/CreditCardFraud/raw/tryI/creditcard_viz.csv', encoding = 'utf-8')
from bokeh.io import push_notebook, show, output_notebook
from bokeh.layouts import row, widgetbox
from bokeh.models import Select, ColumnDataSource
from bo... | Python | zaydzuhri_stack_edu_python |
function extract_timeseries input_file output_file
begin
set logger = call getLogger __name__
info string loading data
set df = read csv input_file index_col=0
info format string data frame has {} rows before indexing length df
info string indexing data frame...
set nsw = df at call new_south_wales_index df
info format... | def extract_timeseries(input_file, output_file):
logger = logging.getLogger(__name__)
logger.info('loading data')
df = pd.read_csv(input_file, index_col=0)
logger.info('data frame has {} rows before indexing'.format(len(df)))
logger.info('indexing data frame...')
nsw = df[new_south_wales_index(... | Python | nomic_cornstack_python_v1 |
function quad self y z=none method=string sptrapz
begin
return rsphere * dlam * sum call quad_meridional y z method
end function | def quad(self, y, z=None, method="sptrapz"):
return self.rsphere * self.dlam * np.sum(self.quad_meridional(y, z, method)) | Python | nomic_cornstack_python_v1 |
function add_node_embedding graph embeddings
begin
for n in call nodes
begin
set embd = embeddings at nodes at n at string idx
assert ndim == 1 msg string Embeddings are expected to be one-dimensional
set nodes at n at string embedding = call tolist
end
return graph
end function | def add_node_embedding(graph: nx.Graph, embeddings: Dict[Any, np.array]) -> nx.Graph:
for n in graph.nodes():
embd = embeddings[graph.nodes[n]['idx']]
assert embd.ndim == 1, "Embeddings are expected to be one-dimensional"
graph.nodes[n]['embedding'] = embd.tolist()
return graph | Python | nomic_cornstack_python_v1 |
import os
set path = join path string ./inst_golden.txt
set arr = list
with open path string r as f
begin
set arr = read lines f
end
for s in arr
begin
set h = hexadecimal integer right strip s string 2
print h
end | import os
path = os.path.join('./inst_golden.txt')
arr = []
with open(path, 'r') as f:
arr = f.readlines()
for s in arr:
h = hex(int(s.rstrip('\n'), 2))
print(h)
| Python | zaydzuhri_stack_edu_python |
import sys
with open argv at 1 string r as test_cases
begin
for test in test_cases
begin
set string = upper right strip test string
set unique = set string
set start = 26
set counts = list
for value in unique
begin
if is alpha value == true
begin
append counts count string value
end
end
set sorted_nums = sorted counts... | import sys
with open(sys.argv[1], 'r') as test_cases:
for test in test_cases:
string = test.rstrip('\n').upper()
unique = set(string)
start = 26
counts = []
for value in unique:
if value.isalpha() == True:
counts.append(string.count(value))
... | Python | zaydzuhri_stack_edu_python |
function _set_state self v load=false
begin
if has attribute v string _utype
begin
set v = call _utype v
end
try
begin
set t = call YANGDynClass v base=yc_state_openconfig_mpls_static__mpls_lsps_constrained_path_tunnels_tunnel_bandwidth_auto_bandwidth_underflow_state is_container=string container yang_name=string state... | def _set_state(self, v, load=False):
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=yc_state_openconfig_mpls_static__mpls_lsps_constrained_path_tunnels_tunnel_bandwidth_auto_bandwidth_underflow_state, is_container='container', yang_name="state", parent=self, path_helper=self._... | Python | nomic_cornstack_python_v1 |
function test_total_weight self
begin
set varieties = list comprehension call Coconut variety for variety in list string middle eastern string south asian string south asian string american string american string american
set inventory = call Inventory
for variety in varieties
begin
call add_coconut variety
end
assert ... | def test_total_weight(self):
varieties = [Coconut(variety) for variety in ['middle eastern',
'south asian',
'south asian',
'american',
... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Thu Feb 13 11:54:18 2020 @author: Administrator
import cv2
import numpy as np
set img = call imread string chess_board.jpg
comment 灰度图
set gray = call cvtColor img COLOR_BGR2GRAY
set gray = call float32 gray
comment 调用cornerHarris函数，最重要的是第三个参数，该参数限定了Sobel算子的中孔。
comment So... | # -*- coding: utf-8 -*-
"""
Created on Thu Feb 13 11:54:18 2020
@author: Administrator
"""
import cv2
import numpy as np
img = cv2.imread('chess_board.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # 灰度图
gray = np.float32(gray)
# 调用cornerHarris函数，最重要的是第三个参数，该参数限定了Sobel算子的中孔。
# Sobel算子通过对图像行、列的变化检测来检测边缘，Sobel算子... | Python | zaydzuhri_stack_edu_python |
function enrich_textrefs self db
begin
set tr_list = call select_all TextRef text_ref_id == id source == my_source call is_ none
set file_list = call get_csv_as_dict string filelist.csv header=0
set pmcid_mid_dict = dictionary comprehension entry at string PMCID : entry at string MID for entry in file_list
set pmid_mid... | def enrich_textrefs(self, db):
tr_list = db.select_all(db.TextRef,
db.TextContent.text_ref_id == db.TextRef.id,
db.TextContent.source == self.my_source,
db.TextRef.manuscript_id.is_(None))
file_list = self.ft... | Python | nomic_cornstack_python_v1 |
comment this is where we implement the state-of-the-art MNIST model that will be under attack
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets , transforms
import numpy as np
import time
class Lenet5 extends Module
begin
function __init__ se... | # this is where we implement the state-of-the-art MNIST model that will be under attack
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
import numpy as np
import time
class Lenet5(nn.Module):
def __init__(self):
... | Python | zaydzuhri_stack_edu_python |
from itertools import permutations
from itertools import combinations
from itertools import combinations_with_replacement
set s = string 12edwdqq | from itertools import permutations
from itertools import combinations
from itertools import combinations_with_replacement
s='12edwdqq'
| Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Attachments backends base classes
from abc import abstractmethod
class AntivirusBase extends object
begin
decorator abstractmethod
function scan_file self filename
begin
string Scans file and return result tuple: - scan result: True -- infected, False -- not - antivirus report strin... | # -*- coding: utf-8 -*-
"""
Attachments backends base classes
"""
from abc import abstractmethod
class AntivirusBase(object):
@abstractmethod
def scan_file(self, filename):
"""
Scans file and return result tuple:
- scan result: True -- infected, False -- not
- antivirus... | Python | zaydzuhri_stack_edu_python |
comment 1,编写 储存数据 函数
function getnumber
begin
set numbers = list
set n = input string 请输入要计算的数字:
while integer n < 7
begin
append numbers integer n
set n = input string 请输入要计算的数字:
end
return numbers
end function
comment 2,编写 各计算函数
comment 计算平均值
function junzhi numbers
begin
set s = 0.0
for i in numbers
begin
set s = s... | #1,编写 储存数据 函数
def getnumber():
numbers=[]
n=input("请输入要计算的数字: ")
while int(n)<7:
numbers.append(int(n))
n=input("请输入要计算的数字: ")
return numbers
#2,编写 各计算函数
#计算平均值
def junzhi(numbers):
s=0.0
for i in numbers:
s+=i
j=s/len(numbers)
return j
#计算方差
... | Python | zaydzuhri_stack_edu_python |
comment cada 2m² precisa de 1l pra ser pintado
set largura = decimal input string Qual a largura da parede?
set altura = decimal input string Qual a altura da parede?
set area = largura * altura
set soma = area / 2
print string Sua parede tem a dimensão de: { area } m²
print string Para pintar essa parede você precisar... | #cada 2m² precisa de 1l pra ser pintado
largura = float(input('Qual a largura da parede?'))
altura = float(input('Qual a altura da parede?'))
area = largura * altura
soma = area / 2
print(f'Sua parede tem a dimensão de: {area}m²')
print(f'Para pintar essa parede você precisará de: {soma}l')
| Python | zaydzuhri_stack_edu_python |
import matplotlib.pyplot as plt
import numpy as np
import json
from scipy.optimize import curve_fit
comment Gewichtskraft
set F = 0.7474 * 9.81
comment Meter
set L = 0.45
comment Meter^4
set I = pi / 4 * 0.005 ^ 4
comment Funktion für Curve Fit:
function D_Theorie x E
begin
return 0.7474 * 9.81 / 2 * E * pi / 4 * 0.005... | import matplotlib.pyplot as plt
import numpy as np
import json
from scipy.optimize import curve_fit
F = 0.7474 * 9.81 #Gewichtskraft
L = 0.450 #Meter
I= (np.pi/4) * 0.005**4 #Meter^4
# Funktion für Curve Fit:
def D_Theorie(x,E):
return (0.7474 * 9.81)/(2* E * ((np.pi/4) * 0.005**4))* x
def D_fit(x... | Python | zaydzuhri_stack_edu_python |
comment Hacer un programa en python que me muestre la lista de usuarios que hay en el ordenador
comment with open('/etc/passwd','r') as archivo:
comment lineas=archivo.readlines()
set f = open string /etc/passwd string r
set lineas = read lines f
set UID = string input string Dime el UID de la cadena.
set UIDi = false
... | #Hacer un programa en python que me muestre la lista de usuarios que hay en el ordenador
#with open('/etc/passwd','r') as archivo:
# lineas=archivo.readlines()
f=open('/etc/passwd','r')
lineas=f.readlines()
UID=str(input("Dime el UID de la cadena. "))
UIDi=False
for linea in lineas:
datos=linea.split(':')
if UID==da... | Python | zaydzuhri_stack_edu_python |
import re
from typing import Dict
set input = open string day7-input.txt string r
set rules = split read input string .
comment Part 1 ###
function count_in_layer rules bags master_list
begin
set parent_bags = list
set cnt = 0
for rule in rules
begin
set tuple bag_outside inside = split rule string bags contain
set ba... | import re
from typing import Dict
input = open("day7-input.txt", "r")
rules = input.read().split(".\n")
### Part 1 ###
def count_in_layer(rules: list, bags: set, master_list: set) -> Dict:
parent_bags = []
cnt = 0
for rule in rules:
bag_outside, inside = rule.split(" bags contain ")
bags_i... | Python | zaydzuhri_stack_edu_python |
function make_hash self task
begin
string Create a hash of the task inputs. This uses a serialization library borrowed from ipyparallel. If this fails here, then all ipp calls are also likely to fail due to failure at serialization. Args: - task (dict) : Task dictionary from dfk.tasks Returns: - hash (str) : A unique h... | def make_hash(self, task):
"""Create a hash of the task inputs.
This uses a serialization library borrowed from ipyparallel.
If this fails here, then all ipp calls are also likely to fail due to failure
at serialization.
Args:
- task (dict) : Task dictionary from df... | Python | jtatman_500k |
function test_combine_graphs_C_CO2
begin
for nv in list 0 1
begin
set g1 = call create_graph_CO2 num_global_nodes=nv
set g2 = call create_graph_C num_global_nodes=nv
if nv == 0
begin
set global_map_number = list list list list
end
else
if nv == 1
begin
set global_map_number = list list 0 list 1 list 2
end
else
begin... | def test_combine_graphs_C_CO2():
for nv in [0, 1]:
g1 = create_graph_CO2(num_global_nodes=nv)
g2 = create_graph_C(num_global_nodes=nv)
if nv == 0:
global_map_number = [[], [], []]
elif nv == 1:
global_map_number = [[0], [1], [2]]
else:
ra... | Python | nomic_cornstack_python_v1 |
function event_m20_11_15040
begin
string State 0,2: [Preset] Photoworm_Frog_SubState reacts to enemy and PC approach
assert call event_m20_11_x117 z13=5 z14=4220 z15=20114610 z16=211000016 z17=16010 z18=211000081 z19=802
string State 1: Finish
call EndMachine
end function | def event_m20_11_15040():
"""State 0,2: [Preset] Photoworm_Frog_SubState reacts to enemy and PC approach"""
assert (event_m20_11_x117(z13=5, z14=4220, z15=20114610, z16=211000016, z17=16010, z18=211000081,
z19=802))
"""State 1: Finish"""
EndMachine() | Python | nomic_cornstack_python_v1 |
for i in range n
begin
if i == 0
begin
set cache at i at 0 = numList at i
set cache at i at 1 = numList at i
end
else
begin
set cache at i at 0 = max cache at i - 1 at 1 cache at i - 1 at 0
set cache at i at 1 = max numList at i cache at i - 1 at 1 + numList at i
end
end
print max cache at n - 1 | for i in range(n):
if i == 0:
cache[i][0] = numList[i]
cache[i][1] = numList[i]
else:
cache[i][0] = max(cache[i - 1][1], cache[i - 1][0])
cache[i][1] = max(numList[i], cache[i - 1][1] + numList[i])
print(max(cache[n - 1]))
| Python | zaydzuhri_stack_edu_python |
function cntPosSS ar
begin
set pos = 0
set neg = 0
for i in range length ar
begin
if ar at i < 0
begin
set neg = neg + 1
end
else
if ar at i > 0
begin
set pos = pos + 1
end
end
if neg == 0
begin
return 2 ^ pos - 1 % 1000000007
end
if pos == 0
begin
return 2 ^ neg - 1 - 1 % 1000000007
end
else
begin
set ps = 2 ^ pos - 1... | def cntPosSS(ar):
pos = 0
neg = 0
for i in range(len(ar)):
if ar[i] < 0:
neg += 1
elif ar[i] > 0:
pos += 1
if neg == 0:
return (2 ** pos - 1) % 1000000007
if pos == 0:
return (2 ** (neg - 1) - 1) % 1000000007
else:
ps = 2 ** pos... | Python | zaydzuhri_stack_edu_python |
function RSI df_ n
begin
set df = deep copy df_
set df at string delta = df at string adj_close - call shift 1
set df at string gain = where df at string delta >= 0 df at string delta 0
set df at string loss = where df at string delta < 0 absolute df at string delta 0
set avg_gain = list
set avg_loss = list
set gain ... | def RSI(df_, n):
df = copy.deepcopy(df_)
df['delta'] = df['adj_close'] - df['adj_close'].shift(1)
df['gain'] = np.where(df['delta'] >= 0, df['delta'], 0)
df['loss'] = np.where(df['delta'] < 0, abs(df['delta']), 0)
avg_gain = []
avg_loss = []
gain = df['gain'].tolist()
loss = df['loss'].... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
comment @Date : 2017-08-18 21:55:13
comment @Author : Jun Jiang (flametest@gmail.com)
comment @Link : http://example.org
comment @Version : $Id$
class Solution extends object
begin
function climbStairs self n
begin
string :type n: int :rtype: int
if n == 0
begi... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date : 2017-08-18 21:55:13
# @Author : Jun Jiang (flametest@gmail.com)
# @Link : http://example.org
# @Version : $Id$
class Solution(object):
def climbStairs(self, n):
"""
:type n: int
:rtype: int
"""
if n == 0:
... | Python | zaydzuhri_stack_edu_python |
function kb_minus_generation self
begin
call change_force_size_cb none force_size - 1
end function | def kb_minus_generation(self):
self.change_force_size_cb(None, self.force_size - 1) | Python | nomic_cornstack_python_v1 |
comment Different sorting methods
comment 1. Sort a list by first alphabet
comment l=['dhaval','mehta','united','FCBarca','spain']
comment s=[]
comment count=65
comment while len(s)<len(l):
comment for i in range(0,len(l)):
comment if ord(l[i][:1])==count:
comment s.append(l[i])
comment count+=1
comment count+=1
commen... | # Different sorting methods
#1. Sort a list by first alphabet
# l=['dhaval','mehta','united','FCBarca','spain']
# s=[]
# count=65
# while len(s)<len(l):
# for i in range(0,len(l)):
# if ord(l[i][:1])==count:
# s.append(l[i])
# count+=1
# count+=1
# print(s)
# print(sorted(l))
# How to rev... | Python | zaydzuhri_stack_edu_python |
function test_timestamp_to_datestring self timestamp with_time expectation
begin
assert equal call timestamp_to_datestring timestamp with_time expectation
end function | def test_timestamp_to_datestring(self, timestamp, with_time, expectation):
self.assertEqual(
search.timestamp_to_datestring(timestamp, with_time),
expectation) | Python | nomic_cornstack_python_v1 |
function update self ConnectedVia=none KeyType=none MkaLifeTime=none Multiplier=none Name=none RandomizeMemberIdentifier=none StackedLayers=none
begin
comment type: (List[str], str, int, int, str, bool, List[str]) -> Mka
return call _update call _map_locals _SDM_ATT_MAP locals
end function | def update(self, ConnectedVia=None, KeyType=None, MkaLifeTime=None, Multiplier=None, Name=None, RandomizeMemberIdentifier=None, StackedLayers=None):
# type: (List[str], str, int, int, str, bool, List[str]) -> Mka
return self._update(self._map_locals(self._SDM_ATT_MAP, locals())) | Python | nomic_cornstack_python_v1 |
import sqlite3
from datetime import datetime
import json , urllib
set GEOCODE_BASE_URL = string http://maps.googleapis.com/maps/api/geocode/json
function geocode address sensor **geo_args
begin
update geo_args dict string address address ; string sensor sensor
set url = GEOCODE_BASE_URL + string ? + url encode geo_args... | import sqlite3
from datetime import datetime
import json, urllib
GEOCODE_BASE_URL = 'http://maps.googleapis.com/maps/api/geocode/json'
def geocode(address,sensor, **geo_args):
geo_args.update({
'address': address,
'sensor': sensor
})
url = GEOCODE_BASE_URL + '?' + urllib.urlencode(geo_a... | Python | zaydzuhri_stack_edu_python |
from gbd_artifact_tool import *
from gbd_mapping import covariates
class BFP_ArtifactTool extends GBD_ArtifactTool
begin
function __init__ self path
begin
call __init__ path
call _bfp_parse_paths
set _country = loc at 0
set _gbd_location_id = integer location_id
set covariates = call _bfp_covariates
end function
functi... | from gbd_artifact_tool import *
from gbd_mapping import covariates
class BFP_ArtifactTool(GBD_ArtifactTool):
def __init__(self, path):
super().__init__(path)
self._bfp_parse_paths()
self._country = self._hdf.get("/dimensions/full_space").location.loc[0]
self._gbd_location_id = int(... | Python | zaydzuhri_stack_edu_python |
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