code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function is_public self
begin
if storage_class == STATIC
begin
return false
end
return true
end function | def is_public(self) -> bool:
if self.node.storage_class == StorageClass.STATIC:
return False
return True | Python | nomic_cornstack_python_v1 |
comment coding: utf-8
comment In[5]:
comment Merge Sort by Using For loops
from time import time
from random import random
function merge m1 m2
begin
set m = list
while length m1 != 0 and length m2 != 0
begin
if m1 at 0 == min m1 at 0 m2 at 0
begin
append m m1 at 0
del m1 at 0
end
else
begin
append m m2 at 0
del m2 at... | # coding: utf-8
# In[5]:
#Merge Sort by Using For loops
from time import time
from random import random
def merge(m1,m2):
m=[]
while len(m1)!=0 and len(m2)!=0:
if m1[0]==min(m1[0],m2[0]):
m.append(m1[0])
del(m1[0])
else:
m.append(m2[0])
del(m2... | Python | zaydzuhri_stack_edu_python |
function match_lookup_by_node_name self node_name attribute_name
begin
set lookup_query = format string MATCH(n:{}) RETURN n.{} node_name attribute_name
set key = string n. + attribute_name
set driver = call access_db
set session = call session
with call begin_transaction as _tx
begin
set result = run lookup_query
end
... | def match_lookup_by_node_name(self, node_name, attribute_name):
lookup_query = "MATCH(n:{}) RETURN n.{}".format(node_name, attribute_name)
key = "n." + attribute_name
driver = self.access_db()
session = driver.session()
with session.begin_transaction() as _tx:
result... | Python | nomic_cornstack_python_v1 |
class calculator
begin
decorator classmethod
function add cls a b
begin
return a + b
end function
decorator classmethod
function times cls a b
begin
return a * b
end function
end class | class calculator:
@classmethod
def add (cls, a, b):
return a + b
@classmethod
def times (cls, a, b):
return a * b | Python | zaydzuhri_stack_edu_python |
comment -*- coding:utf-8 -*-
import sys
from pylab import *
import matplotlib.pyplot as plt
call reload sys
call setdefaultencoding string utf-8
set rcParams at string font.sans-serif = list string SimHei
set labels = tuple string C语言 string 数据库 string 嵌入式 string Linux string Python string Windows string Java
set fracs... | # -*- coding:utf-8 -*-
import sys
from pylab import *
import matplotlib.pyplot as plt
reload(sys)
sys.setdefaultencoding('utf-8')
mpl.rcParams['font.sans-serif'] = ['SimHei']
labels = u'C语言', u'数据库', u'嵌入式', u'Linux', u'Python', u'Windows', u'Java'
fracs = [25, 23, 22, 15, 5, 5, 5]
explode = [0.1, 0, 0, 0, 0, 0, 0]
pa... | Python | zaydzuhri_stack_edu_python |
comment Conditions
set number = integer input string Enter a number:
comment if == equal
if number == 6
begin
print number * 2
end
else
comment elif <= smaller or equal
if number <= 3
begin
print number + 3
end
else
begin
print number - 1
end | #Conditions
number=int(input("Enter a number: \n"))
#if == equal
if (number==6):
print(number*2)
#elif <= smaller or equal
elif (number<=3):
print(number+3)
else:
print(number-1)
| Python | zaydzuhri_stack_edu_python |
function get_db request
begin
return db
end function | def get_db(request: Request) -> Session:
return request.state.db | Python | nomic_cornstack_python_v1 |
comment Kevin Nguyen
comment Python program that determines whether a given character sequence is a palindrome or not.
comment How to run (linux):
comment 1.) open command line and cd into directory folder of where this code is
comment 2.) type in "python Python-Shell.py"
comment import statements
import sys
import arr... | #Kevin Nguyen
#Python program that determines whether a given character sequence is a palindrome or not.
#
#How to run (linux):
# 1.) open command line and cd into directory folder of where this code is
# 2.) type in "python Python-Shell.py"
#import statements
import sys;
import array;
#function implementation/defini... | Python | zaydzuhri_stack_edu_python |
function sortArray arr
begin
sort arr
return arr
end function
comment Driver code
set arr = list 9 5 1 10
print call sortArray arr
comment Output: [1, 5, 9, 10] | def sortArray(arr):
arr.sort()
return arr
# Driver code
arr = [9, 5, 1, 10]
print(sortArray(arr))
# Output: [1, 5, 9, 10] | Python | jtatman_500k |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
comment @Time : 19-4-29 上午8:34
comment @Author : ho-ho
comment @Site :
comment @File : gui.py
comment @Description:
comment -------------------------------------------------------------------------------------
from tkinter import *
import tkinter.filedialog
fro... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 19-4-29 上午8:34
# @Author : ho-ho
# @Site :
# @File : gui.py
# @Description:
# -------------------------------------------------------------------------------------
from tkinter import *
import tkinter.filedialog
from tkinter import messagebox
"""
top = Tk... | Python | zaydzuhri_stack_edu_python |
string Stage to populate the units.info table. This module contains a loader to load all unit level information into the database.
import itertools as it
import pymotifs.core as core
from pymotifs import models as mod
from pymotifs.utils import units
from pymotifs.download import Downloader
from pymotifs.pdbs.info impo... | """Stage to populate the units.info table.
This module contains a loader to load all unit level information into the
database.
"""
import itertools as it
import pymotifs.core as core
from pymotifs import models as mod
from pymotifs.utils import units
from pymotifs.download import Downloader
from pymotifs.pdbs.info ... | Python | zaydzuhri_stack_edu_python |
set pythonList = list string int string str string bool string if string else string elif string loop string tuple string list string None true false
print pythonList at slice 1 : 3 : | pythonList = ["int", "str", "bool", "if", "else", "elif", "loop", "tuple", "list", "None", True, False]
print (pythonList[1:3]) | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
comment @Time : 2020/8/1 13:49
comment @Author : AsiHacker
comment @Site :
comment @File : 主要看这个.py
comment @Software: PyCharm
import logging
from logging.handlers import TimedRotatingFileHandler
comment 级别排序:CRITICAL > ERROR > WARNING > INFO > DEBUG
comment de... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/8/1 13:49
# @Author : AsiHacker
# @Site :
# @File : 主要看这个.py
# @Software: PyCharm
import logging
from logging.handlers import TimedRotatingFileHandler
# 级别排序:CRITICAL > ERROR > WARNING > INFO > DEBUG
# debug : 打印全部的日志,详细的信息,通常只出现在诊断问题上
# info : 打... | Python | zaydzuhri_stack_edu_python |
function hostname self hostname
begin
set _hostname = hostname
end function | def hostname(self, hostname):
self._hostname = hostname | Python | nomic_cornstack_python_v1 |
function _dispatch_events self
begin
for event in get event
begin
if type == QUIT
begin
if _on_quit_cb is none or call _on_quit_cb
begin
call quit
end
end
if type == EVENT_ANIM_HEARTBEAT
begin
set _anim_timer = _anim_timer + 1
continue
end
if type in _unsettling_events
begin
set _idle_ticks = 0
end
if type == MOUSEBUTT... | def _dispatch_events(self):
for event in pygame.event.get():
if event.type == pygame.QUIT:
if self._on_quit_cb is None or self._on_quit_cb():
self.quit()
if event.type==self.EVENT_ANIM_HEARTBEAT:
... | Python | nomic_cornstack_python_v1 |
import json
from collections import OrderedDict
from enum import Enum
from SimpleJSONEncoder import SimpleJSONEncoder
from utils import is_elemental , is_collection , is_customized_class , hashable
class RefJSONEncoder extends SimpleJSONEncoder
begin
function _count_ref self obj
begin
if call is_elemental obj
begin
ret... | import json
from collections import OrderedDict
from enum import Enum
from .SimpleJSONEncoder import SimpleJSONEncoder
from .utils import (is_elemental, is_collection,
is_customized_class, hashable)
class RefJSONEncoder(SimpleJSONEncoder):
def _count_ref(self, obj):
if is_elemental(obj... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import random
import os.path
import matplotlib.pyplot as plt
class NNmodel
begin
function __init__ self input_size hidden_size output_size batch_size
begin
set W1 = 0.1 * randn input_size hidden_size
set b1 = zeros hidden_size
set W2 = 0.1 * randn hidden_size output_size
set b2 = zeros output_size
se... | import numpy as np
import random
import os.path
import matplotlib.pyplot as plt
class NNmodel:
def __init__(self, input_size, hidden_size, output_size, batch_size):
self.W1 = .1 * np.random.randn(input_size, hidden_size)
self.b1 = np.zeros(hidden_size)
self.W2 = .1 * np.random.randn(hidden_... | Python | zaydzuhri_stack_edu_python |
import hashlib
import os
set file_path = join string / split __file__ string / at slice : - 1 :
change directory file_path
import bash
comment usr_dic = {}
comment with open(r'/mnt/d/个人目标/my_git_hub/DATA-SCIENTIST-/python_full_stack/project/FTP/server/DB/user', 'r', encoding='utf-8') as f:
comment for line in f.readli... | import hashlib
import os
file_path = '/'.join(__file__.split('/')[:-1])
os.chdir(file_path)
import bash
# usr_dic = {}
# with open(r'/mnt/d/个人目标/my_git_hub/DATA-SCIENTIST-/python_full_stack/project/FTP/server/DB/user', 'r', encoding='utf-8') as f:
# for line in f.readlines():
# usr_id, usr_pwd = line.split... | Python | zaydzuhri_stack_edu_python |
from io import StringIO
import pandas as pd
import pyperclip
import sys
comment pdb.set_trace() ;;; 'continue' proceeds, 'next' steps
import pdb
import re
import numpy as np
comment fuzz is used to compare TWO strings
from fuzzywuzzy import fuzz
comment process is used to compare a string to MULTIPLE other strings
from... | from io import StringIO
import pandas as pd
import pyperclip; import sys
import pdb # pdb.set_trace() ;;; 'continue' proceeds, 'next' steps
import re
import numpy as np
# fuzz is used to compare TWO strings
from fuzzywuzzy import fuzz
# process is used to compare a string to MULTIPLE other strings
from fuzzywuzzy impo... | Python | zaydzuhri_stack_edu_python |
from flask import Flask , request
set app = call Flask __name__
function layout body
begin
return string <!DOCTYPE html> <html lang="en"> <head> <title>Raspberry Pi Sound Recognizer</title> <meta charset="utf-8"> <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"> <link rel="styleshee... | from flask import Flask, request
app = Flask(__name__)
def layout(body):
return f"""
<!DOCTYPE html>
<html lang="en">
<head>
<title>Raspberry Pi Sound Recognizer</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<link rel="stylesheet" hre... | Python | zaydzuhri_stack_edu_python |
function add_spgwc_init_containers self
begin
return list call V1Container name=string spgwc-dep-check image=string quay.io/stackanetes/kubernetes-entrypoint:v0.3.1 image_pull_policy=string IfNotPresent security_context=call V1SecurityContext allow_privilege_escalation=false read_only_root_filesystem=false run_as_user=... | def add_spgwc_init_containers(self) -> dict:
return [
kubernetes.client.V1Container(
name = "spgwc-dep-check",
image = "quay.io/stackanetes/kubernetes-entrypoint:v0.3.1",
image_pull_policy = "IfNotPresent",
security_context = kubernete... | Python | nomic_cornstack_python_v1 |
function test_delete_many_documents_by_query_inline_commit self what=string commit
begin
set doc_count = 10
comment Same user ID will be used for all documents.
set user_id = call get_rand_string
set documents = list comprehension call get_rand_userdoc user_id=user_id for i in range doc_count
call add_many documents co... | def test_delete_many_documents_by_query_inline_commit(self, what="commit"):
doc_count = 10
# Same user ID will be used for all documents.
user_id = get_rand_string()
documents = [get_rand_userdoc(user_id=user_id)
for i in range(doc_count)]
self.conn.add_many(... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment Copyright 2007 Google Inc.
comment Licensed under the Apache License, Version 2.0 (the "License");
comment you may not use this file except in compliance with the License.
comment You may obtain a copy of the License at
comment http://www.apache.org/licenses/LICENSE-2.0
comment Unle... | #!/usr/bin/env python
#
# Copyright 2007 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | Python | zaydzuhri_stack_edu_python |
function print_bq_insert_errors rows errors
begin
error string The following errors have been detected:
set stopped_rows = 0
for item in errors
begin
set index = item at string index
set row_errors = item at string errors
for error in row_errors
begin
if error at string reason != string stopped
begin
error string Row n... | def print_bq_insert_errors(rows, errors):
logger.error("The following errors have been detected:")
stopped_rows = 0
for item in errors:
index = item["index"]
row_errors = item["errors"]
for error in row_errors:
if error["reason"] != "stopped":
logger.error... | Python | nomic_cornstack_python_v1 |
string Created on 21 oct. 2018 @author: marlorebazaloyola
from builtins import sorted
import string
import builtins
from _functools import reduce
import numpy
from matplotlib.pyplot import step
from pygments.lexers._vim_builtins import command
string Sobre la condicional: "__name__" es un atributo especial de python qu... | '''
Created on 21 oct. 2018
@author: marlorebazaloyola
'''
from builtins import sorted
import string
import builtins
from _functools import reduce
import numpy
from matplotlib.pyplot import step
from pygments.lexers._vim_builtins import command
'''
Sobre la condicional:
"__name__" es un atributo especial de p... | Python | zaydzuhri_stack_edu_python |
function sistema self sistema
begin
set _sistema = sistema
end function | def sistema(self, sistema: Sistema):
self._sistema = sistema | Python | nomic_cornstack_python_v1 |
import pandas as pd
class model
begin
function __init__ self
begin
pass
end function
function load_img self img
begin
set image = img
end function
function load_data self df_data
begin
set df = df_data
comment self.ordering_data()
comment self.optimize_data()
set current_df = df
set df_for_filter_Square = call DataFram... | import pandas as pd
class model:
def __init__(self):
pass
def load_img(self, img):
self.image = img
def load_data(self, df_data):
self.df = df_data
# self.ordering_data()
# self.optimize_data()
self.current_df = self.df
self.df_for_filter_Square ... | Python | zaydzuhri_stack_edu_python |
from django.core.management.base import BaseCommand , CommandError
from lines import models
class Command extends BaseCommand
begin
set help = string Manage daily schedule
function add_arguments self parser
begin
call add_argument string station-id
call add_argument string --days string -d nargs=string + help=string Li... | from django.core.management.base import BaseCommand, CommandError
from lines import models
class Command(BaseCommand):
help = 'Manage daily schedule'
def add_arguments(self, parser):
parser.add_argument('station-id')
parser.add_argument('--days', '-d', nargs='+',
h... | Python | zaydzuhri_stack_edu_python |
from functools import lru_cache
import bisect
class P1
begin
function threeConsecutiveOdds self arr
begin
set cur = 0
for x in arr
begin
set cur = x ? 1 * cur + x ? 1
if cur == 3
begin
return true
end
end
return false
end function
end class
class P2
begin
function minOperations_2 self n
begin
set m = n ? 1 ? 1
return n... | from functools import lru_cache
import bisect
class P1:
def threeConsecutiveOdds(self, arr: [int]) -> bool:
cur = 0
for x in arr:
cur = (x & 1) * (cur + (x & 1))
if cur == 3:
return True
return False
class P2:
def minOperations_2(self, n: int) ->... | Python | zaydzuhri_stack_edu_python |
function cloudwatch_destinations self
begin
return get pulumi self string cloudwatch_destinations
end function | def cloudwatch_destinations(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['EventDestinationCloudwatchDestinationArgs']]]]:
return pulumi.get(self, "cloudwatch_destinations") | Python | nomic_cornstack_python_v1 |
string 217. Contains Duplicate src: https://leetcode.com/problems/contains-duplicate/ Given an integer array nums, return true if any value appears at least twice in the array, and return false if every element is distinct.
function contains_duplicate nums
begin
set seen = set list
for num in nums
begin
if num in seen
... | """
217. Contains Duplicate
src: https://leetcode.com/problems/contains-duplicate/
Given an integer array nums, return true if any value appears at least twice in the array, and return false if every element is distinct.
"""
def contains_duplicate(nums: list[int]) -> bool:
seen = set([])
for num in nums:
... | Python | zaydzuhri_stack_edu_python |
function top_dimensionality self
begin
return sum _vocab_size
end function | def top_dimensionality(self):
return sum(self._vocab_size) | Python | nomic_cornstack_python_v1 |
function test_checksum
begin
call cashdec string prefix:x64nx6hz
call cashdec string p:gpf8m4h7
call cashdec string bitcoincash:qpzry9x8gf2tvdw0s3jn54khce6mua7lcw20ayyn
call cashdec string bchreg:555555555555555555555555555555555555555555555udxmlmrz
with raises AssertionError match=string Bad checksum
begin
call cashde... | def test_checksum():
cashdec("prefix:x64nx6hz")
cashdec("p:gpf8m4h7")
cashdec("bitcoincash:qpzry9x8gf2tvdw0s3jn54khce6mua7lcw20ayyn")
cashdec("bchreg:555555555555555555555555555555555555555555555udxmlmrz")
with pytest.raises(AssertionError, match="Bad checksum"):
cashdec("bchreg:555555555555... | Python | nomic_cornstack_python_v1 |
function ans k a
begin
sort a
if k > length a
begin
return string -1
end
else
if k != 0
begin
return a at length a - k
end
end function
set tuple n k = map int split input string
set arr = list map int split input string
if call ans k arr == string -1
begin
print string -1
end
else
begin
print call ans k arr string ca... | def ans(k,a):
a.sort()
if(k>len(a)):
return "-1"
else:
if(k!=0):
return a[len(a)-k]
n,k=map(int,input().split(" "))
arr=list(map(int,input().split(" ")))
if (ans(k,arr)=="-1"):
print("-1")
else:
print(ans(k,arr)," ",ans(k,arr))
| Python | jtatman_500k |
function run_test_on_model test model
begin
comment execute test
set run_time = call execute_test_on_model test model
with call in_dir ; open STDOUT_FILE as stdout_file
begin
set stdout = read stdout_file
end
comment look backwards in the stdout for the first non whitespaced line
comment try:
comment data_string = next... | def run_test_on_model(test,model):
# execute test
run_time = execute_test_on_model(test,model)
with test.in_dir(), open(STDOUT_FILE) as stdout_file:
stdout = stdout_file.read()
#look backwards in the stdout for the first non whitespaced line
#try:
# data_string = next(itertools.ifi... | Python | nomic_cornstack_python_v1 |
comment Result: Time Limit Exceeded
comment url: https://codeforces.com/contest/1118/problem/B
function is_good ls
begin
set even = 0
set odd = 0
for i in range length ls
begin
if i % 2 == 0
begin
set even = even + ls at i
end
else
begin
set odd = odd + ls at i
end
end
return even == odd
end function
set n_candies = in... | # Result: Time Limit Exceeded
# url: https://codeforces.com/contest/1118/problem/B
def is_good(ls):
even = 0
odd = 0
for i in range(len(ls)):
if i % 2 == 0:
even += ls[i]
else:
odd += ls[i]
return even == odd
n_candies = int(input())
weights = list(map(int, in... | Python | zaydzuhri_stack_edu_python |
function default_init cls
begin
return call __call__ - 1 - 1
end function | def default_init(cls):
return cls.__call__(-1, -1) | Python | nomic_cornstack_python_v1 |
function check_connection
begin
import subprocess
set retcode = call string dhclient -1 wlan0 shell=true
if retcode == 0
begin
return true
end
else
begin
return false
end
end function | def check_connection():
import subprocess
retcode = subprocess.call("dhclient -1 wlan0", shell=True)
if retcode == 0:
return True
else:
return False | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string Created on Sat Sep 7 23:09:19 2019 @author: yujzhang
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string Created on Sat Sep 7 16:38:24 2019 @author: yujzhang
import pandas as pd
import glob
import sklearn.utils as su
import sklearn.ensemb... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Sep 7 23:09:19 2019
@author: yujzhang
"""
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Sep 7 16:38:24 2019
@author: yujzhang
"""
import pandas as pd
import glob
import sklearn.utils as su
import sklearn.ensemble as se
import sk... | Python | zaydzuhri_stack_edu_python |
function addAdminResource self pluginSubPath resource
begin
string Add Site Resource Add a cusotom implementation of a served http resource. :param pluginSubPath: The resource path where you want to serve this resource. :param resource: The resource to serve. :return: None
set pluginSubPath = strip pluginSubPath b'/'
c... | def addAdminResource(self, pluginSubPath: bytes, resource: BasicResource) -> None:
""" Add Site Resource
Add a cusotom implementation of a served http resource.
:param pluginSubPath: The resource path where you want to serve this resource.
:param resource: The resource to serve.
... | Python | jtatman_500k |
comment returns the mobile numbers
import re
set file = string input.txt
set f = open file string r
set pattern = string \b(0|(\+)|(91))?[6-9]\d{9}\b
for tuple lineno line in enumerate f
begin
if search pattern line
begin
print lineno + 1 right strip line
end
end
close f | #returns the mobile numbers
import re
file = "input.txt"
f=open(file,'r')
pattern=r"\b(0|(\+)|(91))?[6-9]\d{9}\b"
for lineno,line in enumerate(f):
if re.search(pattern,line):
print(lineno + 1,line.rstrip())
f.close()
| Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
function getTokTweetsList filename
begin
set infile = open filename string r
return list comprehension strip tweet for tweet in infile
end function
function addTokTweets tokTweets filename
begin
set infile = open filename string r
set index = 0
for line in infile
begin
set line = split strip li... | #!/usr/bin/python
def getTokTweetsList(filename):
infile = open(filename,'r')
return [tweet.strip() for tweet in infile]
def addTokTweets(tokTweets,filename):
infile = open(filename,'r')
index = 0
for line in infile:
line = line.strip().split('\t')
line[4] = tokTweets[index] | Python | zaydzuhri_stack_edu_python |
from itertools import groupby , chain
import os , time , re
function diagonalPos board columns rows
begin
for diag in generator expression list comprehension tuple j i - j for j in range columns for i in range columns + rows - 1
begin
yield list comprehension board at i at j for tuple i j in diag if i >= 0 and j >= 0 a... | from itertools import groupby, chain
import os,time,re
def diagonalPos(board,columns,rows):
for diag in ([(j, i - j) for j in range(columns)] for i in range(columns + rows -1)):
yield [board[i][j] for i, j in diag if i >= 0 and j >= 0 and i < columns and j < rows]
def diagonalNeg(board,columns,rows):
... | Python | zaydzuhri_stack_edu_python |
function credential self
begin
return get pulumi self string credential
end function | def credential(self) -> Optional['outputs.CredentialReferenceResponse']:
return pulumi.get(self, "credential") | Python | nomic_cornstack_python_v1 |
comment Importing the libraries
import pandas as pd
from sklearn.neural_network import MLPClassifier
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score , f1_score , precision_score , recall_score
import time
from sklearn.ensemble import RandomForestClassifier
from sklearn.neighbors ... | # Importing the libraries
import pandas as pd
from sklearn.neural_network import MLPClassifier
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score, f1_score, precision_score, recall_score
import time
from sklearn.ensemble import RandomForestClassifier
from sklearn.neighbors import ... | Python | zaydzuhri_stack_edu_python |
function ipconfig *args
begin
set tuple command args = call get_command_args args
set proc = decode check output string ipconfig string utf-8
append return_value proc
end function | def ipconfig(*args):
command, args = get_command_args(args)
proc = subprocess.check_output("ipconfig").decode('utf-8')
return_value.append(proc) | Python | nomic_cornstack_python_v1 |
import pycedar
set d = dictionary
print length d
print boolean d
print list d
set d at string nineteen = 19
set string twenty 20
set d at string twenty one = 21
set d at string twenty two = 22
set d at string twenty three = 23
set d at string twenty four = 24
print length d
print boolean d
print list d
print list keys ... | import pycedar
d = pycedar.dict()
print(len(d))
print(bool(d))
print(list(d))
d['nineteen'] = 19
d.set('twenty', 20)
d['twenty one'] = 21
d['twenty two'] = 22
d['twenty three'] = 23
d['twenty four'] = 24
print(len(d))
print(bool(d))
print(list(d))
print(list(d.keys()))
print(list(d.values()))
print(list(d.items()))... | Python | zaydzuhri_stack_edu_python |
import random
function generate_unique_url store_name product_category
begin
if not store_name or not product_category
begin
raise exception string Missing store name or product category
end
set url = replace lower store_name string string + string _ + replace lower product_category string string + string _ + call ge... | import random
def generate_unique_url(store_name, product_category):
if not store_name or not product_category:
raise Exception("Missing store name or product category")
url = store_name.lower().replace(" ", "") + "_" + product_category.lower().replace(" ", "") + "_" + generate_random_string(15)
r... | Python | jtatman_500k |
string Your task is to construct a building which will be a pile of n cubes. The cube at the bottom will have a volume of n ^ 3, the cube above will have volume of(n-1) ^ 3 and so on until the top which will have a volume of 1 ^ 3. You are given the total volume m of the building. Being given m can you find the number ... | '''Your task is to construct a building which will be a pile of n cubes. The cube at
the bottom will have a volume of n ^ 3, the cube above will have volume of(n-1) ^ 3
and so on until the top which will have a volume of 1 ^ 3.
You are given the total volume m of the building. Being given m can you find the
number ... | Python | zaydzuhri_stack_edu_python |
function deploy_cloud_console_proxy self
begin
return get pulumi self string deploy_cloud_console_proxy
end function | def deploy_cloud_console_proxy(self) -> bool:
return pulumi.get(self, "deploy_cloud_console_proxy") | Python | nomic_cornstack_python_v1 |
import boto3
import json
function lambda_handler event context
begin
comment Create an SES client
set ses = call client string ses
comment Get the email address from the input
set email = event at string email
end function
comment Construct the email
set response = call send_email Destination=dict string ToAddresses li... | import boto3
import json
def lambda_handler(event, context):
# Create an SES client
ses = boto3.client('ses')
# Get the email address from the input
email = event['email']
# Construct the email
response = ses.send_email(
Destination={
'ToAddresses': [
email
]
},
Message={
'Body': {
'Text': {
'Charset': ... | Python | jtatman_500k |
comment -*- coding: utf-8 -*-
string Created on Thu Sep 26 15:50:32 2019 @author: Nicolas Pfeuffer
comment Import libraries for our data analysis.
import os
import pandas as pd
import numpy as np
import csv
comment Data Import and Pandas Intro ####
comment Import our data set.
comment Check your working directory first... | # -*- coding: utf-8 -*-
"""
Created on Thu Sep 26 15:50:32 2019
@author: Nicolas Pfeuffer
"""
# Import libraries for our data analysis.
import os
import pandas as pd
import numpy as np
import csv
######################################
### Data Import and Pandas Intro ####
######################################
... | Python | zaydzuhri_stack_edu_python |
function wldap32_ldap_count_entries jitter
begin
set tuple ret_ad args = call func_args_stdcall list string ld string res
raise call RuntimeError string API not implemented
call func_ret_stdcall ret_ad ret_value
end function | def wldap32_ldap_count_entries(jitter):
ret_ad, args = jitter.func_args_stdcall(["ld", "res"])
raise RuntimeError('API not implemented')
jitter.func_ret_stdcall(ret_ad, ret_value) | Python | nomic_cornstack_python_v1 |
string http://www.geeksforgeeks.org/find-a-tour-that-visits-all-stations/
import os
import sys
import operator
import csv
import itertools
import math
import collections
import gc
from itertools import groupby
from sys import argv
from operator import itemgetter , attrgetter , methodcaller
from sys import maxsize
class... | '''
http://www.geeksforgeeks.org/find-a-tour-that-visits-all-stations/
'''
import os
import sys
import operator
import csv
import itertools
import math
import collections
import gc
from itertools import groupby
from sys import argv
from operator import itemgetter, attrgetter, methodcaller
from sys import maxsize
clas... | Python | zaydzuhri_stack_edu_python |
function backtrack k
begin
global my_min
if sum visit > my_min
begin
return
end
if k >= n
begin
set temp = sum visit
if temp < my_min
begin
set my_min = temp
end
return
end
for i in range n
begin
if not visit at i
begin
set visit at i = data at k at i
call backtrack k + 1
set visit at i = 0
end
end
end function
for tc ... | def backtrack(k) :
global my_min
if sum(visit) > my_min :
return
if k >= n :
temp = sum(visit)
if temp < my_min :
my_min = temp
return
for i in range(n) :
if not visit[i] :
visit[i] = data[k][i]
backtrack(k+1)
visit[... | Python | zaydzuhri_stack_edu_python |
function cleanupAssociations self
begin
try
begin
set mist_associations = call objects
end
except DoesNotExist
begin
set mist_associations = list
end
set counter = 0
for assoc in mist_associations
begin
if call is_expired
begin
delete
set counter = counter + 1
end
end
return counter
end function | def cleanupAssociations(self):
try:
mist_associations = MistAssociation.objects()
except me.DoesNotExist:
mist_associations = []
counter = 0
for assoc in mist_associations:
if assoc.is_expired():
assoc.delete()
counter ... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
comment part of the speech recognition nodes of chippu
comment reads a string from stdin( provided by speechrecog_init.py), strips it out of unwanted characters and informations,
comment and publishes the recognised speech as a message named 'speech'
comment wr... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#part of the speech recognition nodes of chippu
#reads a string from stdin( provided by speechrecog_init.py), strips it out of unwanted characters and informations,
#and publishes the recognised speech as a message named 'speech'
#
#written by achuwilson
#achu_wilson@redif... | Python | zaydzuhri_stack_edu_python |
import smtplib , ssl
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
function send_email_mod sender_email=string sender_password=string receiver_emails=list email_type=string subject=string body=string attachment=none
begin
string Function: Sends an email as requested by user P... | import smtplib, ssl
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
def send_email_mod(sender_email='', sender_password='', receiver_emails=[], email_type='', subject='', body='', attachment=None):
"""
Function: Sends an email as requested by user
Parameters:
1.... | Python | zaydzuhri_stack_edu_python |
function download_historical tickers_list output_folder
begin
string Download historical data from Yahoo Finance. Downloads full historical data from Yahoo Finance as CSV. The following fields are available: Adj Close, Close, High, Low, Open and Volume. Files will be saved to output_folder as <ticker>.csv. :param ticke... | def download_historical(tickers_list, output_folder):
"""Download historical data from Yahoo Finance.
Downloads full historical data from Yahoo Finance as CSV. The following
fields are available: Adj Close, Close, High, Low, Open and Volume. Files
will be saved to output_folder as <ticker>.csv.
:p... | Python | jtatman_500k |
comment !/usr/bin/env python3
import json
import pandas as pd
class OwnerExtraction
begin
function __init__ self owner_id player_ids
begin
set owner_id = owner_id
set player_ids = player_ids
end function
function __repr__ self
begin
return string Owner: { owner_id } Players: { player_ids }
end function
function __str__... | #!/usr/bin/env python3
import json
import pandas as pd
class OwnerExtraction:
def __init__(self, owner_id, player_ids):
self.owner_id = owner_id
self.player_ids = player_ids
def __repr__(self):
return f'Owner: {self.owner_id}\nPlayers: {self.player_ids}'
def __str__(self):
... | Python | zaydzuhri_stack_edu_python |
string Returneaza true daca n este prim si false daca nu.
function is_prime n
begin
comment codul vostru aici
if n < 2
begin
return false
end
for i in range 2 n // 2 + 1
begin
if n % i == 0
begin
return false
end
end
return true
end function
string Returneaza produsul numerelor din lista lst.
function get_product lst
b... | '''
Returneaza true daca n este prim si false daca nu.
'''
def is_prime(n):
# codul vostru aici
if n<2:
return False
for i in range(2, n//2+1):
if n % i == 0:
return False
return True
'''
Returneaza produsul numerelor din lista lst.
'''
def get_product(lst):
# codul vostru aici
p=1
... | Python | zaydzuhri_stack_edu_python |
function build_optimizer model optimizer_cfg
begin
if has attribute model string module
begin
set model = module
end
set optimizer_cfg = copy optimizer_cfg
set paramwise_options = pop optimizer_cfg string paramwise_options none
comment if no paramwise option is specified, just use the global setting
if paramwise_option... | def build_optimizer(model, optimizer_cfg):
if hasattr(model, 'module'):
model = model.module
optimizer_cfg = optimizer_cfg.copy()
paramwise_options = optimizer_cfg.pop('paramwise_options', None)
# if no paramwise option is specified, just use the global setting
if paramwise_options is None:... | Python | nomic_cornstack_python_v1 |
function get_module_list self c
begin
if device_detected == true
begin
set resp = yield check output string cacli modlist
end
else
begin
set resp = string Device not connected.
end
end function | def get_module_list(self, c):
if self.device_detected == True:
resp = yield subprocess.check_output("cacli modlist")
else:
resp = "Device not connected." | Python | nomic_cornstack_python_v1 |
comment noqa: E501 # noqa: E501
function __init__ self intermission_time_remaining=none intermission_time_elapsed=none in_intermission=none
begin
set _intermission_time_remaining = none
set _intermission_time_elapsed = none
set _in_intermission = none
set discriminator = none
if intermission_time_remaining is not none
... | def __init__(self, intermission_time_remaining=None, intermission_time_elapsed=None, in_intermission=None): # noqa: E501 # noqa: E501
self._intermission_time_remaining = None
self._intermission_time_elapsed = None
self._in_intermission = None
self.discriminator = None
if interm... | Python | nomic_cornstack_python_v1 |
class Solution
begin
function fourSum self nums target
begin
comment nums 정렬
sort nums
comment 정답 저장 set
set ans = set
comment 처음에는 nums 첫번째 index부터 세번째 index까지는 순서대로 숫자를 더함
comment 네번째 index는 처음에는 맨 마지막 index에 있는 값을 사용
comment 더하다가 target과 일치하면 그 숫자 조합을 ans에 저장하면서
comment 세번째 index는 하나씩 올리고 네번째 index는 하나씩 떨어트림
comment... | class Solution:
def fourSum(self, nums: List[int], target: int) -> List[List[int]]:
nums.sort() # nums 정렬
ans = set() # 정답 저장 set
# 처음에는 nums 첫번째 index부터 세번째 index까지는 순서대로 숫자를 더함
# 네번째 index는 처음에는 맨 마지막 index에 있는 값을 사용
# 더하다가 target과 일치하면 그 숫자 조합을 ans에 저장하면서
... | Python | zaydzuhri_stack_edu_python |
async function getFavoriteMids self
begin
return await call string getFavoriteMids
end function | async def getFavoriteMids(self) -> list:
return await self.auth.call("getFavoriteMids") | Python | nomic_cornstack_python_v1 |
function detect_model_name string
begin
set match = match MODEL_NAME_REGEX string
if match
begin
return call group
end
else
begin
return none
end
end function | def detect_model_name(string):
match = re.match(MODEL_NAME_REGEX, string)
if match:
return match.group()
else:
return None | Python | nomic_cornstack_python_v1 |
comment importing required modules
import PyPDF2
import re
comment creating a pdf file object
set pdfFileObj = open string 2.pdf string rb
comment creating a pdf reader object
set pdfReader = call PdfFileReader pdfFileObj
comment printing number of pages in pdf file
comment print(pdfReader.numPages)
comment creating a ... | # importing required modules
import PyPDF2
import re
# creating a pdf file object
pdfFileObj = open('2.pdf', 'rb')
# creating a pdf reader object
pdfReader = PyPDF2.PdfFileReader(pdfFileObj)
# printing number of pages in pdf file
#print(pdfReader.numPages)
# creating a page object
pageObj = pdf... | Python | zaydzuhri_stack_edu_python |
comment coding: utf-8
comment author: ismdeep
comment dateime: 2019-03-18 16:07:03
comment filename: 1307.py
comment blog: https://ismdeep.com
from queue import Queue
function convert_nfa_to_dfa _trans_ _start_state_ _terminals_
begin
set link_set = list
for tuple _from_ _link_ _to_ in _trans_
begin
if _link_ not in l... | # coding: utf-8
# author: ismdeep
# dateime: 2019-03-18 16:07:03
# filename: 1307.py
# blog: https://ismdeep.com
from queue import Queue
def convert_nfa_to_dfa(_trans_, _start_state_, _terminals_):
link_set = []
for _from_, _link_, _to_ in _trans_:
if _link_ not in link_set:
link_set.appe... | Python | zaydzuhri_stack_edu_python |
comment This function differentiates between a (generic) greeting and another message or question
function greeting_differentiator message
begin
comment array with generic or common greetings created
set potential_greetings = list string hello string hey string hi string greetings string hiya string good morning string... | #This function differentiates between a (generic) greeting and another message or question
def greeting_differentiator (message):
#array with generic or common greetings created
potential_greetings = ["hello", "hey", "hi", "greetings", "hiya", "good morning", "good evening", "g'day", "howdy"]
def split_lin... | Python | zaydzuhri_stack_edu_python |
function get_moments_estimates_2 ordered_data
begin
set logs_1 = log ordered_data
set logs_2 = log ordered_data ^ 2
set logs_1_cumsum = cumulative sum np logs_1 at slice : - 1 :
set logs_2_cumsum = cumulative sum np logs_2 at slice : - 1 :
set k_vector = array range 1 length ordered_data
set M1 = 1.0 / k_vector * log... | def get_moments_estimates_2(ordered_data):
logs_1 = np.log(ordered_data)
logs_2 = (np.log(ordered_data))**2
logs_1_cumsum = np.cumsum(logs_1[:-1])
logs_2_cumsum = np.cumsum(logs_2[:-1])
k_vector = np.arange(1, len(ordered_data))
M1 = (1./k_vector)*logs_1_cumsum - logs_1[1:]
M2 = (1./k_vector... | Python | nomic_cornstack_python_v1 |
import os
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import pymc3 as pm
from scipy.stats import norm , uniform
import seaborn as sns
comment Config
change directory string /home/jovyan/work | import os
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import pymc3 as pm
from scipy.stats import norm, uniform
import seaborn as sns
# Config
os.chdir("/home/jovyan/work") | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string Created on Tue Sep 4 14:18:50 2018 @author: khalednakhleh Copying this work is prohibited under all circumstances.
import pandas as pd
set df = read csv string /Users/khalednakhleh/Documents/ecen_689/ECEN689-Fall2018/Challenges/1Files/1challenge1activit... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Sep 4 14:18:50 2018
@author: khalednakhleh
Copying this work is prohibited under all circumstances.
"""
import pandas as pd
df = pd.read_csv("/Users/khalednakhleh/Documents/ecen_689/ECEN689-Fall2018" \
"/Challenges/1Files/1challenge... | Python | zaydzuhri_stack_edu_python |
comment suma macierzy o wymiarach 128x128 wygenerowanych losowo
import random
comment import numpy as np
function random_tab n
begin
return list comprehension list comprehension random integer - 9 9 for x in range n for y in range n
end function
print call random_tab 3
function random_tab2 n
begin
return list comprehen... | #suma macierzy o wymiarach 128x128 wygenerowanych losowo
import random
#import numpy as np
def random_tab(n: int):
return [[random.randint(-9, 9) for x in range(n)] for y in range(n)]
print(random_tab(3))
def random_tab2(n: int):
return [[random.randint(-9, 9) for x in range(n)] for y in range(n)]
print(r... | Python | zaydzuhri_stack_edu_python |
function truncate self length
begin
if file == none
begin
raise string LuksFile has not been initialized
end
if length % SECTOR_SIZE != 0
begin
raise string length must be a multiple of %s % SECTOR_SIZE
end
if length < 0
begin
raise string length must be positive
end
call truncate integer payloadOffset * SECTOR_SIZE + ... | def truncate(self, length):
if self.file == None:
raise "LuksFile has not been initialized"
if length % self.SECTOR_SIZE != 0:
raise "length must be a multiple of %s" % self.SECTOR_SIZE
if length < 0:
raise "length must be positive"
self.file.truncate(int(self.payloadOffset * self.SECTOR_SIZE) + le... | Python | nomic_cornstack_python_v1 |
function update_totals self
begin
set input_total = sum list comprehension value for i in inputs if value
set output_total = sum list comprehension value for o in outputs if value
comment self.fee = 0
if input_total
begin
set fee = input_total - output_total
end
end function | def update_totals(self):
self.input_total = sum([i.value for i in self.inputs if i.value])
self.output_total = sum([o.value for o in self.outputs if o.value])
# self.fee = 0
if self.input_total:
self.fee = self.input_total - self.output_total | Python | nomic_cornstack_python_v1 |
function filterBySpeaker self df speaker colNames lineByLevels
begin
if speaker == none
begin
return df
end
else
begin
comment print df[colNames['lineBy']].unique()
set df = ix at tuple df at colNames at string lineBy == lineByLevels at speaker slice : :
end
end function | def filterBySpeaker(self,df,speaker, colNames, lineByLevels):
if speaker == None:
return df
else:
#print df[colNames['lineBy']].unique()
df = df.ix[df[colNames['lineBy']]== lineByLevels[speaker],:] | Python | nomic_cornstack_python_v1 |
comment Update is useful for updating multiple key values at a time
update student dict string name string Jane ; string age 26 ; string phone string 555-5555
print student
del student at string age
print student
update student dict string age 25
print get student string age
print student
set age = pop student string a... | # Update is useful for updating multiple key values at a time
student.update({'name': 'Jane', 'age': 26, 'phone': '555-5555'})
print(student)
del student['age']
print(student)
student.update({'age': 25})
print(student.get('age'))
print(student)
age = student.pop('age')
print(student)
print(age)
student['age']... | Python | zaydzuhri_stack_edu_python |
import os
import csv
from collections import Counter , defaultdict
from pathlib import Path
from sklearn.model_selection import train_test_split
import torch
import pickle
from torch.utils.data import TensorDataset , random_split
from torch.utils.data import DataLoader , RandomSampler , SequentialSampler
import numpy a... | import os
import csv
from collections import Counter, defaultdict
from pathlib import Path
from sklearn.model_selection import train_test_split
import torch
import pickle
from torch.utils.data import TensorDataset, random_split
from torch.utils.data import DataLoader, RandomSampler, SequentialSampler
import numpy as np... | Python | zaydzuhri_stack_edu_python |
function build_all_reduce_device_prefixes job_name num_tasks
begin
string Build list of device prefix names for all_reduce. Args: job_name: "worker", "ps" or "localhost". num_tasks: number of jobs across which device names should be generated. Returns: A list of device name prefix strings. Each element spells out the f... | def build_all_reduce_device_prefixes(job_name, num_tasks):
"""Build list of device prefix names for all_reduce.
Args:
job_name: "worker", "ps" or "localhost".
num_tasks: number of jobs across which device names should be generated.
Returns:
A list of device name prefix strings. Each element spell... | Python | jtatman_500k |
function ups_account_number self
begin
return _ups_account_number
end function | def ups_account_number(self):
return self._ups_account_number | Python | nomic_cornstack_python_v1 |
import csv
import RPi.GPIO as GPIO
import time
import csv
import time
import pandas as pd
from itertools import chain
import numpy as np
call setmode BCM
call setwarnings false
set R1 = 14
comment Right side motor's 2 GPIO
set R2 = 15
set L1 = 18
comment Left side motor's 2 GPIO
set L2 = 23
comment left
set IR1 = 19
co... | import csv
import RPi.GPIO as GPIO
import time
import csv
import time
import pandas as pd
from itertools import chain
import numpy as np
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
R1 = 14
R2 = 15 #Right side motor's 2 GPIO
L1 = 18
L2 = 23 #Left side motor's 2 GPIO
IR1 = 19 #left
IR2 = 1... | Python | zaydzuhri_stack_edu_python |
function get_neighbors self vertex_id
begin
comment TODO
return vertices at vertex_id
end function | def get_neighbors(self, vertex_id):
# TODO
return self.vertices[vertex_id] | Python | nomic_cornstack_python_v1 |
function description self
begin
return get pulumi self string description
end function | def description(self) -> pulumi.Output[str]:
return pulumi.get(self, "description") | Python | nomic_cornstack_python_v1 |
for i in range n
begin
set p = 0
for j in a
begin
if j > a at i
begin
set p = p + 1
end
end
append l p
end
for i in range n
begin
set p = 0
for j in range i
begin
if a at j > a at i
begin
set p = p + 1
end
end
append l1 p
end
set ans = 0
set mod = 10 ^ 9 + 7
for i in range n
begin
set ans = ans + k * 2 * l1 at i + k - ... | for i in range(n):
p=0
for j in a:
if j>a[i]:
p+=1
l.append(p)
for i in range(n):
p=0
for j in range(i):
if a[j]>a[i]:
p+=1
l1.append(p)
ans=0
mod=10**9+7
for i in range(n):
ans+=k*(2*l1[i]+(k-1)*(l[i]))//2
ans=ans%mod
print(ans)
| Python | zaydzuhri_stack_edu_python |
function _aget_user_resp self response
begin
if error is not none
begin
raise call UserNotFoundError string Exception happened: %s for request %s % tuple error request
end
else
if status != OK
begin
raise call UserNotFoundError string request: %s status: %s body: %s % tuple request status body
end
comment convert json ... | def _aget_user_resp(self, response):
if response.error is not None:
raise UserNotFoundError("Exception happened: %s for request %s" %
(response.error, response.request))
elif response.status != httplib.OK:
raise UserNotFoundError("request: %s status: %s body: %s" %
... | Python | nomic_cornstack_python_v1 |
function calculate_salary self
begin
if department == string management
begin
set monthly_salary = hourly_wage * hours_worked
set monthly_salary = monthly_salary + monthly_salary * 0.1
end
else
if department == string sales
begin
set monthly_salary = hourly_wage * hours_worked
set monthly_salary = monthly_salary + mont... | def calculate_salary(self):
if self.department == "management":
monthly_salary = self.hourly_wage * self.hours_worked
monthly_salary += monthly_salary * 0.1
elif self.department == "sales":
monthly_salary = self.hourly_wage * self.hours_worked
monthly_salary += monthly_salary * 0... | Python | greatdarklord_python_dataset |
function within a b **kwargs
begin
return call within a b keyword kwargs
end function | def within(a, b, **kwargs):
return lib.within(a, b, **kwargs) | Python | nomic_cornstack_python_v1 |
import requests
import json
import os
string # files = ['file1.json', 'file2.json'] id = 0 for filename in os.listdir(os.getcwd()+"/products"): headers = {'Content-type': 'application/json'} req = requests.post('http://localhost:9200/test/_doc/'+str(id), data = open("./products/"+filename,'rb').read(), headers = header... | import requests
import json
import os
"""
# files = ['file1.json', 'file2.json']
id = 0
for filename in os.listdir(os.getcwd()+"/products"):
headers = {'Content-type': 'application/json'}
req = requests.post('http://localhost:9200/test/_doc/'+str(id), data = open("./products/"+filename,'rb').read(), headers = ... | Python | zaydzuhri_stack_edu_python |
function get_items_at r s
begin
try
begin
return call get_items_at r at slice : - 2 : s + list r at - 1 + s < string o
end
except any
begin
return list
end
end function | def get_items_at(r,s):
try:return get_items_at(r[:-2],s)+[r[-(1+(s<'o'))]]
except:return[]
| Python | zaydzuhri_stack_edu_python |
function comp_angle_opening_magnet self
begin
if W0_is_rad
begin
return W0
end
else
begin
comment Convert W0 from m to rad
set Rbo = call get_Rbo
return decimal 2 * call arcsin W0 / 2 * Rbo
end
end function | def comp_angle_opening_magnet(self):
if self.W0_is_rad:
return self.W0
else: # Convert W0 from m to rad
Rbo = self.get_Rbo()
return float(2 * arcsin(self.W0 / (2 * Rbo))) | Python | nomic_cornstack_python_v1 |
import os
import gender_guesser.detector as gender
from string import digits
set d = call Detector case_sensitive=false
set FEMALE = 0
set MALE = 1
set UNKNOWN = 2
function guessGender fullname
begin
set fullname = replace fullname string " string
set fullname = call translate none digits
set name = split fullname
comm... | import os
import gender_guesser.detector as gender
from string import digits
d = gender.Detector(case_sensitive=False)
FEMALE = 0;
MALE = 1;
UNKNOWN = 2;
def guessGender(fullname):
fullname = fullname.replace('"', ' ')
fullname = fullname.translate(None, digits)
name = fullname.split()
# if the len ... | Python | zaydzuhri_stack_edu_python |
import numpy as np
set a = array input string enter array
set b = array input string enter array
set c = a + b | import numpy as np
a=np.array(input("enter array"))
b=np.array(input("enter array"))
c=a+b | Python | zaydzuhri_stack_edu_python |
function factorial num
begin
if num == 1
begin
return 1
end
else
begin
return num * call factorial num - 1
end
end function
set ans = call factorial 5
print ans | def factorial(num):
if num == 1:
return 1
else:
return num * factorial(num-1)
ans = factorial(5)
print(ans)
| Python | flytech_python_25k |
function update_auth self method rate_limit registration_link_timeout
begin
call update_auth method rate_limit registration_link_timeout
end function | def update_auth(self, method, rate_limit, registration_link_timeout):
self.config_manager.update_auth(method, rate_limit, registration_link_timeout) | Python | nomic_cornstack_python_v1 |
function __handle_include self node current_file
begin
if length children == 1
begin
set root = children at 0
if is instance root Root
begin
call __handle_chapters root current_file
end
end
end function | def __handle_include(self, node: n.Directive, current_file: FileId) -> None:
if len(node.children) == 1:
root = node.children[0]
if isinstance(root, n.Root):
self.__handle_chapters(root, current_file) | Python | nomic_cornstack_python_v1 |
function plot_compare_train_test decisions bins classifier ws=none
begin
set low = min generator expression min d for d in decisions
set high = max generator expression max d for d in decisions
set low_high = tuple low high
comment Plot with python.
figure
histogram decisions at 0 color=string b alpha=0.5 range=low_hig... | def plot_compare_train_test(decisions,bins,classifier, ws=None):
low = min(np.min(d) for d in decisions)
high = max(np.max(d) for d in decisions)
low_high = (low,high)
# Plot with python.
plt.figure()
plt.hist(decisions[0], color='b', alpha=0.5, range=low_high, bins=bins, histtype='stepfilled',... | Python | nomic_cornstack_python_v1 |
comment python_deepDive part 2 , Module 2
comment python version: 3.7.3
string This module contains the following: Iterable : It is a container type of object and we can list out the elements one by one. But the order in which they come is not guranteed. for example: sets are iterable but their order is not guranteed. ... | # python_deepDive part 2 , Module 2
# python version: 3.7.3
"""
This module contains the following:
Iterable : It is a container type of object and we can list out the elements one by one. But the order in which they come is not guranteed.
for example: sets are iterable but their order is not guranteed.
... | Python | zaydzuhri_stack_edu_python |
import torch
import torch.nn as nn
comment noinspection PyPep8Naming
import torch.nn.functional as F
from torch.utils.data import DataLoader
import numpy as np
function train model device train_loader optimizer epoch log_interval writer=none logger=none
begin
string Performs one epoch of training on model :param logger... | import torch
import torch.nn as nn
# noinspection PyPep8Naming
import torch.nn.functional as F
from torch.utils.data import DataLoader
import numpy as np
def train(model: nn.Module, device,
train_loader: torch.utils.data.DataLoader,
optimizer: torch.optim.SGD,
epoch, log_inter... | Python | zaydzuhri_stack_edu_python |
function compute_responsibilities hdf5_file N_columns damping N_processes
begin
set slice_queue = call JoinableQueue
set pid_list = list
for i in range N_processes
begin
set worker = call Responsibilities_worker hdf5_file string /aff_prop_group N_columns damping slice_queue
set daemon = true
start worker
append pid_li... | def compute_responsibilities(hdf5_file, N_columns, damping, N_processes):
slice_queue = multiprocessing.JoinableQueue()
pid_list = []
for i in range(N_processes):
worker = Responsibilities_worker(hdf5_file, '/aff_prop_group',
N_columns, damping, slice_queue)
worker.d... | Python | nomic_cornstack_python_v1 |
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