code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function project_fingerprint
begin
try
begin
comment skipcq:BAN-B607,BAN-B603
set remote = check output list string git string remote string get-url string origin stderr=DEVNULL
return hex digest sha256 remote
end
except tuple CalledProcessError OSError
begin
return none
end
end function | def project_fingerprint() -> Optional[Text]:
try:
remote = check_output( # skipcq:BAN-B607,BAN-B603
["git", "remote", "get-url", "origin"], stderr=DEVNULL
)
return hashlib.sha256(remote).hexdigest()
except (CalledProcessError, OSError):
return None | Python | nomic_cornstack_python_v1 |
comment coding: utf-8
from yowsup.layers.interface import YowInterfaceLayer , ProtocolEntityCallback
from yowsup.layers.protocol_messages.protocolentities import TextMessageProtocolEntity
import random
class ReplyEchoLayer extends YowInterfaceLayer
begin
decorator call ProtocolEntityCallback string message
function onM... | # coding: utf-8
from yowsup.layers.interface import YowInterfaceLayer, ProtocolEntityCallback
from yowsup.layers.protocol_messages.protocolentities import TextMessageProtocolEntity
import random
class ReplyEchoLayer(YowInterfaceLayer):
@ProtocolEntityCallback("message")
def onMessage(self, messageProtocolEnt... | Python | zaydzuhri_stack_edu_python |
comment 1. Basic format for list comprehension
comment new_list = [NEW_ITEM for ITEM in LIST], where we replace the KEY_WORDS
comment numbers = [1, 2, 3]
comment new_numbers = [n+1 for n in numbers] ..... [2, 3, 4]
comment 2. Conditional List comprehension
comment new_list = [NEW_ITEM for ITEM in LIST if TEST]
comment ... | # 1. Basic format for list comprehension
# new_list = [NEW_ITEM for ITEM in LIST], where we replace the KEY_WORDS
# numbers = [1, 2, 3]
# new_numbers = [n+1 for n in numbers] ..... [2, 3, 4]
# 2. Conditional List comprehension
# new_list = [NEW_ITEM for ITEM in LIST if TEST]
# names = ['darren', 'jim', 'eleanor']
# ne... | Python | zaydzuhri_stack_edu_python |
import math
set x1 = eval input
set y1 = eval input
set x2 = eval input
set y2 = eval input
set Distance = x1 - x2 ^ 2 + y1 - y2 ^ 2
print string ( x1 string , y1 string )
print string ( x2 string , y2 string )
print string Distance = %.4f % square root Distance | import math
x1=eval(input())
y1=eval(input())
x2=eval(input())
y2=eval(input())
Distance=(x1-x2)**2+(y1-y2)**2
print("(" , x1 , ",", y1 , ")")
print("(" , x2 , ",", y2 , ")")
print("Distance = %.4f"%(math.sqrt(Distance))) | Python | zaydzuhri_stack_edu_python |
string Created on 14 feb. 2019 @author: Edy
function stergFisier numeFisier
begin
set f = open numeFisier string w
close f
end function
function citesteNumar
begin
while true
begin
set numar = input string >>
try
begin
set numar = integer numar
return numar
end
except ValueError as ve
begin
print string Nu i binie
end
... | '''
Created on 14 feb. 2019
@author: Edy
'''
def stergFisier(numeFisier):
f = open(numeFisier,"w")
f.close()
def citesteNumar():
while True:
numar = input(">>")
try:
numar = int(numar)
return numar
except ValueError as ve:
print("Nu ... | Python | zaydzuhri_stack_edu_python |
comment type: (int, FrameType) -> None
function handle_shutdown_signal self signal_number _stack_frame
begin
if not acquire _shutdown_lock false
begin
comment Ctrl+C can result in 2 or even more signals coming in within nanoseconds of each other. We lock to
comment prevent handling them all. The duplicates can always b... | def handle_shutdown_signal(self, signal_number, _stack_frame): # type: (int, FrameType) -> None
if not self._shutdown_lock.acquire(False):
# Ctrl+C can result in 2 or even more signals coming in within nanoseconds of each other. We lock to
# prevent handling them all. The duplicates can... | Python | nomic_cornstack_python_v1 |
function termination_grace_period_seconds self
begin
return get pulumi self string termination_grace_period_seconds
end function | def termination_grace_period_seconds(self) -> Optional[float]:
return pulumi.get(self, "termination_grace_period_seconds") | Python | nomic_cornstack_python_v1 |
comment Add two number program
set n1 = integer input string Enter first number :
set n2 = integer input string Enter second number :
print format string sum of {} and {} is {} n1 n2 n1 + n2 | #Add two number program
n1=int(input("Enter first number : "))
n2=int(input("Enter second number : "))
print(" sum of {} and {} is {} ".format(n1,n2,n1+n2))
| Python | zaydzuhri_stack_edu_python |
function eol self
begin
if enable_scrolling
begin
if not max_length
begin
comment infinite scrolling
return false
end
return length content >= max_length
end
if length content >= max_length
begin
return true
end
if content >= _visible_width
begin
return true
end
return false
end function | def eol(self):
if self.enable_scrolling:
if not self.max_length:
return False # infinite scrolling
return len(self.content) >= self.max_length
if len(self.content) >= self.max_length:
return True
if self.content >= self._visible_width:
... | Python | nomic_cornstack_python_v1 |
string Обчислення конкретної функції, в залежності від введеного значення х x>3 or x<0 F(x)=4 0≤x≤3 F(x)=x^2
import Checker as ch
call greet 1 string Обчислення конкретної функції, в залежності від введеного значення х x>3 or x<0 F(x)=4 0≤x≤3 F(x)=x^2
set x = input string x=
set x = call floatCheck x
if 0 <= x <= 3
beg... | """
Обчислення конкретної функції, в залежності від введеного значення х
x>3 or x<0 F(x)=4
0≤x≤3 F(x)=x^2
"""
import Checker as ch
ch.greet(1,"""Обчислення конкретної функції, в залежності від введеного значення х
x>3 or x<0 F(x)=4
0≤x≤3 F(x)=x^2
""")
x = input('x=')
x = ch.floatCheck(x)
if 0 <= x <= 3:
print('F... | Python | zaydzuhri_stack_edu_python |
function init_model_parallel self_name backend=PROCESS_GROUP self_rank=- 1 init_method=none num_send_recv_threads=4
begin
call _init_rpc backend self_name self_rank init_method num_send_recv_threads
from api import _agent
call _init id
end function | def init_model_parallel(self_name,
backend=RpcBackend.PROCESS_GROUP,
self_rank=-1,
init_method=None,
num_send_recv_threads=4):
_init_rpc(backend, self_name, self_rank, init_method, num_send_recv_threa... | Python | nomic_cornstack_python_v1 |
import sqlite3
comment ABRIR CONEXION CON BASE DE DATOS
set database = call connect string linioexp_parcial_lab3.db
set lista = list
comment OBTENER OBJETO CURSOR
set cursor = call cursor
set query = string SELECT * FROM colaborador
execute cursor query
set lista = call fetchall
print lista | import sqlite3
database = sqlite3.connect("linioexp_parcial_lab3.db") # ABRIR CONEXION CON BASE DE DATOS
lista=[]
cursor = database.cursor() # OBTENER OBJETO CURSOR
query = '''SELECT * FROM colaborador
'''
cursor.execute(query)
lista=cursor.fetchall()
print(lista)
| Python | zaydzuhri_stack_edu_python |
function SetTexture self Config_name=defaultNamedNotOptArg TextureIn=defaultNamedNotOptArg
begin
return call InvokeTypes 98 LCID 1 tuple 11 0 tuple tuple 8 1 tuple 9 1 Config_name TextureIn
end function | def SetTexture(self, Config_name=defaultNamedNotOptArg, TextureIn=defaultNamedNotOptArg):
return self._oleobj_.InvokeTypes(98, LCID, 1, (11, 0), ((8, 1), (9, 1)),Config_name
, TextureIn) | Python | nomic_cornstack_python_v1 |
import numpy as np
from scipy.misc import lena
import OpenGL.GL as gl
class Canvas
begin
set done_init_texture = false
function initTexture self
begin
string init the texture - this has to happen after an OpenGL context has been created
comment make the OpenGL context associated with this canvas the current one
comment... | import numpy as np
from scipy.misc import lena
import OpenGL.GL as gl
class Canvas():
done_init_texture = False
def initTexture(self):
"""
init the texture - this has to happen after an OpenGL context
has been created
"""
# make the OpenGL context associated with this ... | Python | zaydzuhri_stack_edu_python |
function parse_data self text maxwidth maxheight template_dir context urlize_all_links
begin
comment create a dictionary of user urls -> rendered responses
set replacements = dict
set user_urls = set find all URL_RE text
for user_url in user_urls
begin
try
begin
set resource = call embed user_url maxwidth=maxwidth max... | def parse_data(self, text, maxwidth, maxheight, template_dir, context,
urlize_all_links):
# create a dictionary of user urls -> rendered responses
replacements = {}
user_urls = set(re.findall(URL_RE, text))
for user_url in user_urls:
try:
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python
import httplib
import hashlib
import json
string json data { "ver": "TVOS.04.15.010.03.17", "url": "http://172.21.29.243/aosp_mangosteen-ota-TVOS.04.15.010.03.17.zip", "size": "395984367", "md5": "28b4d7f751a1b0a9f3a7e7cf78734c19" }
function main
begin
set conn = call HTTPConnection string 172.... | #!/usr/bin/python
import httplib
import hashlib
import json
'''
json data
{
"ver": "TVOS.04.15.010.03.17",
"url": "http://172.21.29.243/aosp_mangosteen-ota-TVOS.04.15.010.03.17.zip",
"size": "395984367",
"md5": "28b4d7f751a1b0a9f3a7e7cf78734c19"
}
'''
def main():
conn = httplib.HTTPConnection("172.2... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
class Solution
begin
string @param k: An integer @param n: An integer @return: An integer denote the count of digit k in 1..n
function digitCounts self k n
begin
comment write your code here
set strk = string k
set count = 0
for i in range 0 n + 1
begin
set stri = string i
for j in stri
be... | # -*- coding: utf-8 -*-
class Solution:
"""
@param k: An integer
@param n: An integer
@return: An integer denote the count of digit k in 1..n
"""
def digitCounts(self, k, n):
# write your code here
strk=str(k)
count=0
for i in range(0,n+1):
stri=str(i... | Python | zaydzuhri_stack_edu_python |
function is_dir path
begin
return is directory path path
end function | def is_dir(path):
return os.path.isdir(path) | Python | nomic_cornstack_python_v1 |
function test_details_description self
begin
set description = string _foodesc_ <script>
save
set res = get self headers=dict string X-Requested-With string XMLHttpRequest
call mustcontain string <em>foodesc</em> <script>
end function | def test_details_description(self):
self.tag.description = "_foodesc_ <script>"
self.tag.save()
res = self.get(headers={"X-Requested-With": "XMLHttpRequest"})
res.mustcontain("<em>foodesc</em> <script>") | Python | nomic_cornstack_python_v1 |
comment ! /usr/bin/python
comment this script detects
comment o tabs
comment o CRs
comment the script accepts a list of files (or file wildcards)
comment as sysargs...
import sys , os.path , string
set tabsize = 8 | #! /usr/bin/python
#
# this script detects
#
# o tabs
# o CRs
#
# the script accepts a list of files (or file wildcards)
# as sysargs...
#
import sys, os.path, string
tabsize = 8
| Python | zaydzuhri_stack_edu_python |
import argparse
import numpy as np
import cv2
import matplotlib.pyplot as plt
import glob
set parser = call ArgumentParser
call add_argument string --dataset_dir type=str default=string ../rgbd_dataset/RGBD/
call add_argument string --dataset_name type=str default=string Nami7
call add_argument string --start type=int ... | import argparse
import numpy as np
import cv2
import matplotlib.pyplot as plt
import glob
parser = argparse.ArgumentParser()
parser.add_argument('--dataset_dir', type=str, default='../rgbd_dataset/RGBD/')
parser.add_argument('--dataset_name', type=str, default='Nami7')
parser.add_argument('--start', type=in... | Python | zaydzuhri_stack_edu_python |
function get_phone_stream self
begin
set phones = list
with open phnfile string r as filehandle
begin
for line in filehandle
begin
set phone = split strip line string at 2
append phones PHONE_IDX_DICT at phone
end
end
return array phones
end function | def get_phone_stream(self):
phones = []
with open(self.phnfile, 'r') as filehandle:
for line in filehandle:
phone = line.strip().split(" ")[2]
phones.append(PHONE_IDX_DICT[phone])
return np.array(phones) | Python | nomic_cornstack_python_v1 |
function save self outfile sep=none fmt=string %.5f
begin
comment save the activations
if sep in list none string
begin
comment numpy binary format
set npz = dict string activations self ; string fps fps
call savez outfile keyword npz
end
else
begin
if ndim > 2
begin
raise call ValueError string Only 1D and 2D activat... | def save(self, outfile, sep=None, fmt='%.5f'):
# save the activations
if sep in [None, '']:
# numpy binary format
npz = {'activations': self,
'fps': self.fps}
np.savez(outfile, **npz)
else:
if self.ndim > 2:
rais... | Python | nomic_cornstack_python_v1 |
function get_camera_list self
begin
set sql = format string set role {}; write_role + string SELECT site_name FROM raw.cameras
return sql
end function | def get_camera_list(self):
sql = 'set role {}; '.format(self.write_role) \
+ f"SELECT site_name FROM raw.cameras"
return sql | Python | nomic_cornstack_python_v1 |
function execute_query self query test_logical=false skip_json=false
begin
set plan = call get_plan query logical=test_logical
if not test_logical and not skip_json
begin
comment Test that JSON compilation runs without error
set json_string = dumps call compile_to_json string some query string some logical plan plan st... | def execute_query(self, query, test_logical=False, skip_json=False):
plan = self.get_plan(query, logical=test_logical)
if not test_logical and not skip_json:
# Test that JSON compilation runs without error
json_string = json.dumps(compile_to_json("some query",
... | Python | nomic_cornstack_python_v1 |
function __call__ self index=none
begin
if index is not none
begin
set index = index
end
else
begin
set index = index + 1
if index == length functions
begin
set index = 0
end
end
set f = functions at index
print format string Calling {} f
f dist
end function | def __call__(self, index=None):
if index is not None:
self.index = index
else:
self.index += 1
if self.index == len(self.functions):
self.index = 0
f = self.functions[self.index]
print('Calling {}'.format(f))
f() | Python | nomic_cornstack_python_v1 |
function build_table self view_entries limit format_method build_urls=true
begin
if build_urls
begin
call build_table_urls view_entries
end
set index = 0
for view_entry in view_entries
begin
set index = index + 1
set index = index
call echo call format_method view_entry
if index >= limit
begin
break
end
end
if build_ur... | def build_table(self, view_entries, limit, format_method, build_urls=True):
if build_urls:
self.build_table_urls(view_entries)
index = 0
for view_entry in view_entries:
index += 1
view_entry.index = index
click.echo(format_method(view_entry))
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
from glob import glob
import sys , os
import bencode
import hashlib , base64
function torrent2magnet f
begin
if length f == 0
begin
return false
end
set f = f at 0
set torrent = read open f string r
try
begin
set metadata = call bdecode torrent
end
except BTFailure
begin
return false
end
se... | #!/usr/bin/env python
from glob import glob
import sys, os
import bencode
import hashlib, base64
def torrent2magnet(f):
if len(f) == 0:
return False
f = f[0]
torrent = open(f, 'r').read()
try:
metadata = bencode.bdecode(torrent)
except bencode.BTL.BTFailure:
return False
... | Python | zaydzuhri_stack_edu_python |
function formated_name name
begin
return strip title name
end function
function formated_hello name
begin
return strip title name
end function | def formated_name(name):
return name.title().strip()
def formated_hello(name):
return name.title().strip() | Python | zaydzuhri_stack_edu_python |
function classify_question_senate question bill_title votetype amendment amendment2 amendment3 test=0
begin
set dict = dict
set amendment = lower amendment
end function | def classify_question_senate(question,bill_title,votetype,amendment,amendment2,amendment3,test=0):
dict={}
amendment=amendment.lower() | Python | nomic_cornstack_python_v1 |
from knock20 import wiki_UK
import re
for line in split call wiki_UK string
begin
set obj = find all string (==+)(.*?)==+ line
if obj
begin
for i in obj
begin
print length i at 0 - 1 i at 1
end
end
end
comment i[0]は=の数。今回は==でレベル1のため、len()でとった長さから1を引く必要がある
comment for line in wiki_UK().split('\n'):
comment if "===" in l... | from knock20 import wiki_UK
import re
for line in wiki_UK().split('\n'):
obj = re.findall(r'(==+)(.*?)==+', line)
if obj:
for i in obj:
print(len(i[0])-1, i[1])
#i[0]は=の数。今回は==でレベル1のため、len()でとった長さから1を引く必要がある
# for line in wiki_UK().split('\n'):
# if "===" in line:
# print(li... | Python | zaydzuhri_stack_edu_python |
function source_interface self source_interface
begin
set _source_interface = source_interface
end function | def source_interface(self, source_interface):
self._source_interface = source_interface | Python | nomic_cornstack_python_v1 |
comment Test the function
set dict1 = dict string A 1 ; string B 2
set dict2 = dict string C 3 ; string D 4 ; string A 6 ; string E 8
set merged_dict = call merge_and_sort dict1 dict2 | # Test the function
dict1 = {'A': 1, 'B': 2}
dict2 = {'C': 3, 'D': 4, 'A': 6, 'E': 8}
merged_dict = merge_and_sort(dict1, dict2) | Python | greatdarklord_python_dataset |
comment Below are a set of scores that students have received in the past semester. Write code to determine how many are 90
comment or above and assign that result to the value a_scores.
set scores = string 67 80 90 78 93 20 79 89 96 97 92 88 79 68 58 90 98 100 79 74 83 88 80 86 85 70 90 100
set scores = split scores
s... | # Below are a set of scores that students have received in the past semester. Write code to determine how many are 90
# or above and assign that result to the value a_scores.
scores = "67 80 90 78 93 20 79 89 96 97 92 88 79 68 58 90 98 100 79 74 83 88 80 86 85 70 90 100"
scores = scores.split()
a_scores = 0
for score i... | Python | zaydzuhri_stack_edu_python |
function test01a self
begin
set b = array range N rootdir=rootdir
call resize 3
set a = array range 3
comment print "b->", `b`
call assert_array_equal a b at slice : : string Arrays are not equal
end function | def test01a(self):
b = bcolz.arange(self.N, rootdir=self.rootdir)
b.resize(3)
a = np.arange(3)
# print "b->", `b`
assert_array_equal(a, b[:], "Arrays are not equal") | Python | nomic_cornstack_python_v1 |
comment listeners
comment nc -l -p 5232 -vvv
import os
import platform
import base64
from Session import *
from MenuBase import *
class Shell
begin
function __init__ self name desc codeLines
begin
set _name = name
set _desc = desc
set _lines = codeLines
set _base64 = base64 encode bytes codeLines string utf-8
set _encr... | # listeners
# nc -l -p 5232 -vvv
import os
import platform
import base64
from Session import *
from MenuBase import *
class Shell:
def __init__(self, name, desc, codeLines):
self._name = name
self._desc = desc
self._lines = codeLines
self._base64 = base64.b64encode(bytes(codeLines... | Python | zaydzuhri_stack_edu_python |
import socket
from multiprocessing import Process
import re
class HTTPServer extends object
begin
function __init__ self application
begin
set server_socket = call socket AF_INET SOCK_STREAM
set app = application
end function
function bind self port
begin
call bind tuple string port
end function
function start self
be... | import socket
from multiprocessing import Process
import re
class HTTPServer(object):
def __init__(self, application):
self.server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.app = application
def bind(self, port):
self.server_socket.bind(('', port))
def start(se... | Python | zaydzuhri_stack_edu_python |
set num = 3.14159
set rounded_num = round num 2
set rounded_num_str = string rounded_num
print rounded_num_str | num = 3.14159
rounded_num = round(num, 2)
rounded_num_str = str(rounded_num)
print(rounded_num_str)
| Python | greatdarklord_python_dataset |
from PNL import BayesNet
import unittest
function basic_network only_structure=false
begin
string Returns a basic valid network to test the APIs
set structure = dict string node1 dict string state1 0.3 ; string state2 0.7 ; string node2 dict string state1 0.7 ; string state2 0.3
if only_structure
begin
return structure... | from PNL import BayesNet
import unittest
def basic_network(only_structure=False):
"""
Returns a basic valid network to test the APIs
"""
structure = {
"node1" : {
"state1" : 0.3,
"state2" : 0.7,
},
"node2" : {
"state1" : 0.7,
... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
import numpy as np
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.model_selection import GridSearchCV , cross_val_score
set data_loc = string data/uci_data/poker_hand/poker-hand-training-true.data.txt
set col_names = list string S1 string C1 string S2 string C2 string S3 string... | import pandas as pd
import numpy as np
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.model_selection import GridSearchCV, cross_val_score
data_loc = 'data/uci_data/poker_hand/poker-hand-training-true.data.txt'
col_names = ['S1', 'C1', 'S2', 'C2', 'S3', 'C3', 'S4', 'C4', 'S5', 'C5', 'hand']
df =... | Python | zaydzuhri_stack_edu_python |
comment x坐标变换
comment input x,y out put new x,y
import numpy as np
import cv2 as cv
from math import cos , sin , radians , tan , atan , degrees , atan2 , asin , sqrt
comment class p1top2():
set door_height = 2.032
set garage_height = 2.1336
comment [-2.798125, 0.11343750000000086, 12.1]
comment [-9.713291932979814, 0.1... | #x坐标变换
# input x,y out put new x,y
import numpy as np
import cv2 as cv
from math import cos,sin,radians,tan,atan,degrees,atan2, asin,sqrt
# class p1top2():
door_height = 2.032
garage_height = 2.1336
# [-2.798125, 0.11343750000000086, 12.1]
# [-9.713291932979814, 0.11343750000000086, 15.129510512251684]... | Python | zaydzuhri_stack_edu_python |
function longest_word_length string
begin
set words = split string string
set max_length = 0
for word in words
begin
if length word > max_length
begin
set max_length = length word
end
end
return max_length
end function | def longest_word_length(string):
words = string.split(' ')
max_length = 0
for word in words:
if len(word) > max_length:
max_length = len(word)
return max_length
| Python | flytech_python_25k |
function p_mean_variance self mels y t clip_denoised
begin
set batch_size = shape at 0
set noise_level = to repeat batch_size 1 mels
set eps_recon = nn mels y noise_level
set y_recon = call predict_start_from_noise y t eps_recon
if clip_denoised
begin
call clamp_ - 1.0 1.0
end
set tuple model_mean posterior_log_varianc... | def p_mean_variance(self, mels, y, t, clip_denoised: bool):
batch_size = mels.shape[0]
noise_level = torch.FloatTensor(
[self.sqrt_alphas_cumprod_prev[t+1]]).repeat(batch_size, 1).to(mels)
eps_recon = self.nn(mels, y, noise_level)
y_recon = self.predict_start_from_noise(y, t,... | Python | nomic_cornstack_python_v1 |
function test_spring_underneath_keepalive self
begin
call set_block tuple 0 0 0 slot
call set_block tuple 0 1 0 slot
add tracked tuple 0 0 0
add tracked tuple 0 1 0
comment Tight-loop run the hook to equilibrium.
while tracked
begin
process
end
comment Remove the upper spring.
call destroy tuple 0 1 0
add tracked tuple... | def test_spring_underneath_keepalive(self):
self.w.set_block((0, 0, 0), blocks["spring"].slot)
self.w.set_block((0, 1, 0), blocks["spring"].slot)
self.hook.tracked.add((0, 0, 0))
self.hook.tracked.add((0, 1, 0))
# Tight-loop run the hook to equilibrium.
while self.hook.... | Python | nomic_cornstack_python_v1 |
function unwrap self target_type
begin
set node = self
while is instance node AlgoWrapper
begin
if is instance node target_type
begin
return node
end
set node = algorithm
end
if is instance node target_type
begin
return node
end
raise call RuntimeError string Unable to find a wrapper or algorithm of type { target_type ... | def unwrap(self, target_type: type[WrappedT]) -> WrappedT:
node = self
while isinstance(node, AlgoWrapper):
if isinstance(node, target_type):
return node
node = node.algorithm
if isinstance(node, target_type):
return node
raise RuntimeE... | Python | nomic_cornstack_python_v1 |
comment mapping of province to abbreviation
set provinces = dict string Ontario string ON ; string British Columbia string BC ; string Quebec string QC
comment mapping of province to capitalize
set cities = dict string ON string Toronto ; string QC string Montreal ; string NS string Halifax
comment add more cities
set ... | # mapping of province to abbreviation
provinces = {
"Ontario": "ON",
"British Columbia": "BC",
"Quebec":"QC"
}
# mapping of province to capitalize
cities = {
"ON": "Toronto",
"QC": "Montreal",
"NS": "Halifax"
}
# add more cities
cities["BC"] = "Vancouver"
# print out some cities | Python | zaydzuhri_stack_edu_python |
import pandas as pd
set movies = read csv string http://bit.ly/imdbratings
print string Head:
print head movies
print
print string Columns:
print columns
print
print string Shape:
print shape
print
comment Output:
comment Head:
comment star_rating title content_rating genre duration \
comment 0 9.3 The Shawshank Redemp... | import pandas as pd
movies = pd.read_csv('http://bit.ly/imdbratings')
print('Head:')
print(movies.head())
print()
print('Columns: ')
print(movies.columns)
print()
print('Shape: ')
print (movies.shape)
print()
# Output:
# Head:
# star_rating title content_rating genre duration \
# 0 ... | Python | zaydzuhri_stack_edu_python |
comment 构造器方法
comment Critter Caretaker
comment 一只需要细心呵护的虚拟动物
class Critter extends object
begin
string A virtual pet
function _init_ self name hunger=0 boredom=0
begin
set name = name
set hunger = hunger
set bordom = boredom
end function
comment _pass_time()方法
function _pass_time self
begin
set hunger = hunger + 1
set... | #构造器方法
#Critter Caretaker
#一只需要细心呵护的虚拟动物
class Critter(object):
"""A virtual pet"""
def _init_(self, name, hunger = 0, boredom =0):
self.name = name
self.hunger = hunger
self.bordom = boredom
#_pass_time()方法
def _pass_time(self):
self.hunger += 1
self.boredom +... | Python | zaydzuhri_stack_edu_python |
function move_to self row col
begin
set position = call Position row col
end function | def move_to(self, row, col):
self.position = Position(row, col) | Python | nomic_cornstack_python_v1 |
function nth iterable n default=none
begin
return next iterator slice iterable n none default
end function | def nth(iterable, n, default=None):
return next(islice(iterable, n, None), default) | Python | nomic_cornstack_python_v1 |
for i in range 1 9
begin
for j in range i
begin
print i end=string
set i = i + 0
end
print
end | for i in range(1,9):
for j in range (i):
print(i,end=" ")
i=i+0
print() | Python | zaydzuhri_stack_edu_python |
function mass self
begin
if _propagator is not none
begin
return call getMass
end
else
begin
set err_msg = string Mass of + namespace + string not initialized. Build propagator method has to be called first!
raise call AttributeError err_msg
end
end function | def mass(self):
if self._propagator is not None:
return self._propagator._propagator_num.getInitialState().getMass()
else:
err_msg = "Mass of " + self.namespace + " not initialized. Build propagator method has to be called first!"
raise AttributeError(err_msg) | Python | nomic_cornstack_python_v1 |
comment Deisgn an API to get latest message id such that no previous messages are missing. It should have following methods:
comment # this method should adds a message with id number as received message
comment def ack(number)
comment # this method should return the id of last message whose previous counts are not mis... | # Deisgn an API to get latest message id such that no previous messages are missing. It should have following methods:
# # this method should adds a message with id number as received message
# def ack(number)
# # this method should return the id of last message whose previous counts are not missing
# def latest()
#... | Python | zaydzuhri_stack_edu_python |
string https://docs.python.org/3/library/
import math
from math import sqrt
comment import externalmodules.cars as cars #this is not the better way to do it
comment from externalmodules import cars
from externalmodules.cars import info , carlocation
class ModulesDemo
begin
function builtin_modules self
begin
comment th... | """
https://docs.python.org/3/library/
"""
import math
from math import sqrt
#import externalmodules.cars as cars #this is not the better way to do it
#from externalmodules import cars
from externalmodules.cars import info, carlocation
class ModulesDemo():
def builtin_modules(self):
print(int(math.sqrt(100))) #thi... | Python | zaydzuhri_stack_edu_python |
function locate_file file_in_root_path
begin
set cur_file_path = directory name path directory name path absolute path path __file__
set tuple proj_root_path _ = split path cur_file_path
set target_file_path = join path proj_root_path file_in_root_path
return target_file_path
end function | def locate_file(file_in_root_path):
cur_file_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
proj_root_path, _ = os.path.split(cur_file_path)
target_file_path = os.path.join(proj_root_path, file_in_root_path)
return target_file_path | Python | nomic_cornstack_python_v1 |
function py_cpu_nms dets thresh
begin
comment 所有图片的坐标信息，字典形式储存？？
set x1 = dets at tuple slice : : 0
set y1 = dets at tuple slice : : 1
set x2 = dets at tuple slice : : 2
set y2 = dets at tuple slice : : 3
set scores = dets at tuple slice : : 4
comment 计算出所有图片的面积
set areas = x2 - x1 + 1 * y2 - y1 + 1
comm... | def py_cpu_nms(dets, thresh):
# 所有图片的坐标信息，字典形式储存？？
x1 = dets[:, 0]
y1 = dets[:, 1]
x2 = dets[:, 2]
y2 = dets[:, 3]
scores = dets[:, 4]
areas = (x2 - x1 + 1) * (y2 - y1 + 1) # 计算出所有图片的面积
order = scores.argsort()[::-1] # 图片评分按升序排序
keep = [] # 用来存放最后保留的图片的相应评分
while order.size ... | Python | nomic_cornstack_python_v1 |
function pull_messages client subscription
begin
set name = call get_full_subscription_name PROJECT_ID subscription
set body = dict string returnImmediately false ; string maxMessages BATCH_SIZE
return execute call pull subscription=name body=body num_retries=NUM_RETRIES
end function | def pull_messages(client, subscription):
name = get_full_subscription_name(PROJECT_ID,subscription)
body = {'returnImmediately': False,
'maxMessages': BATCH_SIZE }
return client.projects().subscriptions().pull(
subscription=name, body=body).execute(num_retries=NUM_RETRIES) | Python | nomic_cornstack_python_v1 |
function get_json_data file_path
begin
with open file_path string r as file
begin
return load json file
end
end function | def get_json_data(file_path: str) -> list:
with open(file_path, 'r') as file:
return json.load(file) | Python | nomic_cornstack_python_v1 |
import torch
import numpy as np
from scipy.spatial.distance import pdist , squareform
string This file contains general purpose functions used across different experiments
function sigmoid x
begin
return 1 / 1 + exp - x
end function
function pairwise_distances N x y
begin
string Returns distance matrix that contains th... | import torch
import numpy as np
from scipy.spatial.distance import pdist, squareform
"""
This file contains general purpose functions used across different experiments
"""
def sigmoid(x):
return 1 / (1 + np.exp(-x))
def pairwise_distances(N, x, y):
"""
Returns distance matrix that contains the dist... | Python | zaydzuhri_stack_edu_python |
import os
import sys
import re
from matplotlib import pyplot
from pylab import genfromtxt
from matplotlib.backends.backend_pdf import PdfPages
function getDigits
begin
set ids = list
set files = list comprehension f for f in list directory string . if string .dat in f
for file in files
begin
append ids integer find al... | import os
import sys
import re
from matplotlib import pyplot
from pylab import genfromtxt
from matplotlib.backends.backend_pdf import PdfPages
def getDigits ():
ids = []
files = [f for f in os.listdir('.') if ".dat" in f]
for file in files:
ids.append(int(re.findall('\d+',file)[0]))
ids.sort()
return ids
def... | Python | zaydzuhri_stack_edu_python |
import threading
from queue import Queue
import time
import random
import input_module
import alertt
import storage
import json
comment generate data in random time
function generate_data q q_alert q_data
begin
print string ======****** Welcome to Use Patient Monitor ******======
print string ==========================... | import threading
from queue import Queue
import time
import random
import input_module
import alertt
import storage
import json
# generate data in random time
def generate_data(q, q_alert, q_data):
print("======****** Welcome to Use Patient Monitor ******======")
print("==============================================... | Python | zaydzuhri_stack_edu_python |
from WTDrivers import WTDrivers
from selenium import webdriver
import time
set driver = call Chrome
call maximize_window
get driver string https://www.youtube.com/
comment filepath:where all the images will be stored
set obj = call WTDrivers driver filetype=string .png filepath=string ./tmp/images/
set sub_image = stri... | from WTDrivers import WTDrivers
from selenium import webdriver
import time
driver = webdriver.Chrome()
driver.maximize_window()
driver.get('https://www.youtube.com/')
obj = WTDrivers(driver,filetype=".png",filepath="./tmp/images/") #filepath:where all the images will be stored
sub_image = "test_scripts/images/ico... | Python | zaydzuhri_stack_edu_python |
import datetime , calendar
set today = today
print string ============================== Welcome to Zenith Bank ===============================
set Pin_code = input string Please Enter your Pin Code:
if Pin_code == string 123
begin
print string Welcome name
end
else
begin
print string Pin codes dont match
end
comment =... | import datetime,calendar
today = datetime.date.today()
print('==============================\n Welcome to Zenith Bank \n===============================')
Pin_code=input('Please Enter your Pin Code: ')
if Pin_code=='123':
print('Welcome',Customer.name)
else:
print('Pin codes dont match')
# ========== ... | Python | zaydzuhri_stack_edu_python |
for item in data
begin
set tuple country town cost = split strip item string " string >
set town = capitalize town
set cost = integer cost
if country not in travel
begin
set temp_dict = dict town cost
set travel at country = temp_dict
end
else
if town in travel at country
begin
if cost < travel at country at town
begin... | for item in data:
country, town, cost = item.strip('"').split(' > ')
town = town.capitalize()
cost = int(cost)
if country not in travel:
temp_dict = {town: cost}
travel[country] = temp_dict
else:
if town in travel[country]:
if cost < travel[country][town]:
travel[country][town] = cost
elif town not ... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
import sys
from Game import game
import os.path
import xml.etree.ElementTree as ET
import urllib.parse
import requests
import json
comment Constants
comment ---------
set GAMES_JSON = string games.json
set outputobject = dict
set outputobject at string games = list
set already_collected_g... | #!/usr/bin/env python
import sys
from Game import game
import os.path
import xml.etree.ElementTree as ET
import urllib.parse
import requests
import json
# Constants
# ---------
GAMES_JSON = "games.json"
outputobject = {}
outputobject["games"] = []
already_collected_games = []
if os.path.isfile(GAMES_JSON):
with ... | Python | zaydzuhri_stack_edu_python |
function find_IP_from_additional_data self additional_data
begin
set IPs = list
comment 1 : A Record
set IPs = list comprehension address for rrset in additional_data if rdtype == 1
return IPs
end function | def find_IP_from_additional_data(self, additional_data : list):
IPs = list()
IPs = [rrset[0].address for rrset in additional_data if rrset.rdtype == 1] # 1 : A Record
return IPs | Python | nomic_cornstack_python_v1 |
function getTelemetrySubscriptions self request context
begin
call set_code UNIMPLEMENTED
call set_details string Method not implemented!
raise call NotImplementedError string Method not implemented!
end function | def getTelemetrySubscriptions(self, request, context):
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!') | Python | nomic_cornstack_python_v1 |
import os
import shutil
import face_recognition
import cv2
class Faces_Recognition
begin
function __init__ self photo_of_child_dir photo_social_dir
begin
set error_mean = 0.5
comment можно было бы использовать CUDA, но нужен графический процессор от nvidia (модель cnn, быстрее и лучше)
set model = string hog
set photo_... | import os
import shutil
import face_recognition
import cv2
class Faces_Recognition():
def __init__(self, photo_of_child_dir, photo_social_dir):
self.error_mean = 0.5
self.model = 'hog' # можно было бы использовать CUDA, но нужен графический процессор от nvidia (модель cnn, быстрее и лучше)
... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
function dframe days
begin
set d = call DataFrame index=days columns=list string A string B string C string D string E string ps string sA string sB string sC string sD string sE data=1
set name = string days
set loc at tuple slice 3 : : string A ... | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
def dframe(days):
d = pd.DataFrame(index=days, columns=[
"A", "B", "C", "D", "E", "ps", "sA", "sB", "sC", "sD", "sE"], data=1)
d.index.name = "days"
d.loc[3:, "A"] = 0
d.loc[6:, "B"] = 0
d.loc[5:, "C"] = 0
d.loc[4:,... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
import os , re , urllib
from urllib2 import Request , urlopen , URLError , HTTPError
function main
begin
set base_url = string http://www.google.com/events/io/2011/static/css/
set source = string style.css
set file = open source
comment download images referenced in stylesheet
for line in f... | #!/usr/bin/env python
import os, re, urllib
from urllib2 import Request, urlopen, URLError, HTTPError
def main():
base_url = "http://www.google.com/events/io/2011/static/css/"
source = "style.css"
file = open(source)
# download images referenced in stylesheet
for line in file:
urls = re.findall("url\((.*)\)",... | Python | zaydzuhri_stack_edu_python |
import numpy
set N = integer input
set A = list
set B = list
for i in range N
begin
append A array split input int
end
for j in range N
begin
append B array split input int
end
print dot A B | import numpy
N = int(input())
A = []
B = []
for i in range(N):
A.append(numpy.array(input().split(), int))
for j in range(N):
B.append(numpy.array(input().split(), int))
print(numpy.dot(A,B))
| Python | zaydzuhri_stack_edu_python |
function summary_frame self xname=none alpha=0.05
begin
if effect is not none
begin
comment we have everything for a params table
set use_t = distribution == string t
comment Not used in params_frame
set yname = string constraints
if xname is none
begin
set xname = list comprehension string c%d % ii for ii in range len... | def summary_frame(self, xname=None, alpha=0.05):
if self.effect is not None:
# we have everything for a params table
use_t = (self.distribution == 't')
yname='constraints' # Not used in params_frame
if xname is None:
xname = ['c%d'%ii for ii in ra... | Python | nomic_cornstack_python_v1 |
function __init__ self access_key_id bucket cacert endpoint no_ssl_verify region secret_access_key staging_directory
begin
set log = call get_logger
set access_key_id = access_key_id
set bucket = bucket
set cacert = cacert
set endpoint = endpoint
set no_ssl_verify = no_ssl_verify
set region = region
set secret_access_k... | def __init__(self, access_key_id, bucket, cacert, endpoint, no_ssl_verify, region, secret_access_key, staging_directory):
self.log = logger.Logger.get_logger()
self.access_key_id = access_key_id
self.bucket = bucket
self.cacert = cacert
self.endpoint = endpoint
self.no_ss... | Python | nomic_cornstack_python_v1 |
string rolling_dice.py ~~~~~~~~~~~~~~~ This module solves the rolling dice in-class problem. Run with "python rolling_dice.py"
function average i outcomes
begin
set rsp = 0
for j in range 1 7
begin
set rsp = rsp + get outcomes tuple i j 0
end
return rsp / 6
end function
function simulate n_rounds
begin
set outcomes = d... | """
rolling_dice.py
~~~~~~~~~~~~~~~
This module solves the rolling dice in-class problem.
Run with "python rolling_dice.py"
"""
def average(i, outcomes):
rsp = 0
for j in range(1, 7):
rsp += outcomes.get((i, j), 0)
return rsp / 6
def simulate(n_rounds):
outcomes = {}
fo... | Python | zaydzuhri_stack_edu_python |
comment Definition for a binary tree node.
comment class TreeNode:
comment def __init__(self, x):
comment self.val = x
comment self.left = None
comment self.right = None
comment 递归做法，28ms
class Solution
begin
function inorderTraversal self root
begin
set res = list
if not root
begin
return res
end
function helper root... | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
#递归做法，28ms
class Solution:
def inorderTraversal(self, root: TreeNode) -> List[int]:
res = []
if not root:
retur... | Python | zaydzuhri_stack_edu_python |
function diskdata
begin
string Get total disk size in GB.
set p = popen string /bin/df -l -P
set ddata = dict
set tsize = 0
for line in read lines p
begin
set d = split line
if string /dev/sd in d at 0 or string /dev/hd in d at 0 or string /dev/mapper in d at 0
begin
set tsize = tsize + integer d at 1
end
end
set ddat... | def diskdata():
"""Get total disk size in GB."""
p = os.popen("/bin/df -l -P")
ddata = {}
tsize = 0
for line in p.readlines():
d = line.split()
if ("/dev/sd" in d[0] or "/dev/hd" in d[0] or "/dev/mapper" in d[0]):
tsize = tsize + int(d[1])
ddata["Disk_GB"] = int(tsize... | Python | jtatman_500k |
comment Создать программно файл в текстовом формате, записать в него построчно данные, вводимые пользователем.
comment Об окончании ввода данных свидетельствует пустая строка.
set file_obj = open string 5-1.txt string a encoding=string utf-8
while true
begin
set user_enter = input string Введите текст (для выхода остав... | # Создать программно файл в текстовом формате, записать в него построчно данные, вводимые пользователем.
# Об окончании ввода данных свидетельствует пустая строка.
file_obj = open('5-1.txt', 'a', encoding='utf-8')
while True:
user_enter = input('Введите текст (для выхода оставьте строку пустую и нажмите "Ente... | Python | zaydzuhri_stack_edu_python |
function writefile self path content=none frompath=none
begin
set full = join path base_path path
if not exists path directory name path full
begin
make directories directory name path full
end
set f = open full string wb
if content is not none
begin
write f content
end
if frompath is not none
begin
if template_path
be... | def writefile(self, path, content=None,
frompath=None):
full = os.path.join(self.base_path, path)
if not os.path.exists(os.path.dirname(full)):
os.makedirs(os.path.dirname(full))
f = open(full, 'wb')
if content is not None:
f.write(content)
... | Python | nomic_cornstack_python_v1 |
function start_period self start_period
begin
set _start_period = start_period
end function | def start_period(self, start_period):
self._start_period = start_period | Python | nomic_cornstack_python_v1 |
from flask import Flask , request , jsonify
from flask_pymongo import PyMongo
from werkzeug.security import generate_password_hash , check_password_hash
import uuid
import jwt
import datetime
from functools import wraps
set app = call Flask __name__
set config at string SECRET_KEY = string securekey
set config at strin... | from flask import Flask, request, jsonify
from flask_pymongo import PyMongo
from werkzeug.security import generate_password_hash, check_password_hash
import uuid
import jwt
import datetime
from functools import wraps
app = Flask(__name__)
app.config['SECRET_KEY']='securekey'
app.config['MONGO_DBNAME'] = 's_database'
a... | Python | zaydzuhri_stack_edu_python |
function write_pdb fileobj images
begin
if is instance fileobj str
begin
set fileobj = call paropen fileobj string w
end
if not is instance images tuple list tuple
begin
set images = list images
end
set format = string ATOM %5d %-4s %8.3f%8.3f%8.3f 0.00 0.00
comment RasMol complains if the atom index exceeds 100000. Th... | def write_pdb(fileobj, images):
if isinstance(fileobj, str):
fileobj = paropen(fileobj, 'w')
if not isinstance(images, (list, tuple)):
images = [images]
format = 'ATOM %5d %-4s %8.3f%8.3f%8.3f 0.00 0.00\n'
# RasMol complains if the atom index exceeds 100000. There migh... | Python | nomic_cornstack_python_v1 |
if n * a > b
begin
print b
end
else
if n * a < b
begin
print n * a
end
else
begin
print b
end | if n*a >b:
print(b)
elif n*a <b:
print(n*a)
else:
print(b)
| Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment coding: utf-8
comment In[6]:
import json , sys , os
from os.path import expanduser as eu
from hac import GreedyAgglomerativeClusterer
import networkx as nx
from collections import defaultdict
from itertools import combinations
comment # Clustering!
comment In this notebook, we perfo... | #!/usr/bin/env python
# coding: utf-8
# In[6]:
import json,sys,os
from os.path import expanduser as eu
from hac import GreedyAgglomerativeClusterer
import networkx as nx
from collections import defaultdict
from itertools import combinations
# # Clustering!
# In this notebook, we perform the actual clustering. Give... | Python | zaydzuhri_stack_edu_python |
from sklearn.base import BaseEstimator , OutlierMixin
from scipy.stats import norm
from scipy.special import logsumexp
from tqdm import tqdm
class BayesOCPD extends BaseEstimator OutlierMixin
begin
string Bayesian online change point detection, see Adams & MacKay 2007.
function __init__ self model hazard mini_run_lengt... | from sklearn.base import BaseEstimator, OutlierMixin
from scipy.stats import norm
from scipy.special import logsumexp
from tqdm import tqdm
class BayesOCPD(BaseEstimator, OutlierMixin):
"""
Bayesian online change point detection, see Adams & MacKay 2007.
"""
def __init__(self, model, hazard, mini_run_l... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
comment Creating two separate DataFrames
set df1 = call DataFrame dict string A list 1 2 3
set df2 = call DataFrame dict string B list 4 5 6
comment Concatenating DataFrames along columns
set merged_df = concat list df1 df2 axis=1
comment Let me examine if the code works
comment 1. Concatenated two ... | import pandas as pd
# Creating two separate DataFrames
df1 = pd.DataFrame({'A': [1, 2, 3]})
df2 = pd.DataFrame({'B': [4, 5, 6]})
# Concatenating DataFrames along columns
merged_df = pd.concat([df1, df2], axis=1)
# Let me examine if the code works
# 1. Concatenated two DataFrames along columns
# Executing code...
# C... | Python | flytech_python_25k |
import os
import json
import pickle
import numpy as np
import scipy.sparse
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model import LogisticRegression
from my_preprocess import preprocessing
function get_features sen1 sen2
begin
set num_samples = length sen1
set corpus_sen1 = list co... | import os
import json
import pickle
import numpy as np
import scipy.sparse
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model import LogisticRegression
from my_preprocess import preprocessing
def get_features(sen1, sen2):
num_samples = len(sen1)
corpus_sen1 = [' '.join(item)... | Python | zaydzuhri_stack_edu_python |
string Player functions, includes player progression
comment Specialties #
set FIGHTER = dictionary list tuple string name string Fighter tuple string exp_mult 1.0 tuple string description string The Fighter excels are armed combat and wears enemies down through a combination of ranged and melee moves
set SWORDMASTER =... | """Player functions, includes player progression"""
###############
# Specialties #
###############
FIGHTER = dict([
("name", "Fighter"),
("exp_mult", 1.0),
("description", "The Fighter excels are armed combat and wears enemies down through a combination of ranged and melee moves")
])
SWORDMASTER = dict([
("na... | Python | zaydzuhri_stack_edu_python |
string 作者:王小糖 功能:模拟掷骰子,记录每次点数的次数 版本：2.0 日期：15/1/2019 2.0新增功能:掷两个骰子,记录结果
import random
function roll_dice
begin
string 模拟掷骰子 :return:
set roll = random integer 1 6
return roll
end function
function main
begin
string 主函数 :return:
set total_times = 100000
comment 初始化列表[0,0,0,0,0,0]
set ID_list = list range 2 13
set result... | """
作者:王小糖
功能:模拟掷骰子,记录每次点数的次数
版本：2.0
日期：15/1/2019
2.0新增功能:掷两个骰子,记录结果
"""
import random
def roll_dice():
"""
模拟掷骰子
:return:
"""
roll=random.randint(1,6)
return roll
def main():
"""
主函数
:return:
"""
total_times=100000
# 初始化列表[0,0,0,0,0,0]
ID_list=list(range(2,13))
result_list=[0]*11
result_dict=... | Python | zaydzuhri_stack_edu_python |
function get_lbaas_agent_hosting_pool self pool **_params
begin
return get self pool_path + LOADBALANCER_AGENT % pool params=_params
end function | def get_lbaas_agent_hosting_pool(self, pool, **_params):
return self.get((self.pool_path + self.LOADBALANCER_AGENT) % pool,
params=_params) | Python | nomic_cornstack_python_v1 |
comment This script is a library of variables and objects. All of the sprites' data and the sprite obj itself is contained here.
from tkinter import *
import random , sol_class
set master = call Tk
set my_can = call MainWindow master
set Celestial_body = Celestial_body
set Asteroid = Asteroid
comment Solar distance val... | #This script is a library of variables and objects. All of the sprites' data and the sprite obj itself is contained here.
from tkinter import *
import random, sol_class
master = Tk()
my_can = sol_class.MainWindow(master)
Celestial_body = sol_class.Celestial_body
Asteroid = sol_class.Asteroid
#Solar distance values f... | Python | zaydzuhri_stack_edu_python |
comment arr = [3, 1, 2, 4, 3], n = 5
function solution arr
begin
set n = length arr
comment slice 후, sum()에서 시간복잡도 N*N
set minDif = absolute sum arr at slice 1 : : - sum arr at slice : 1 :
for p in range 1 n
begin
if sum arr at slice p : : == sum arr at slice : p :
begin
set minDif = 0
break
end
set dif = absolute ... | # arr = [3, 1, 2, 4, 3], n = 5
def solution(arr):
n = len(arr)
minDif = abs(sum(arr[1:]) - sum(arr[:1])) # slice 후, sum()에서 시간복잡도 N*N
for p in range(1, n):
if sum(arr[p:]) == sum(arr[:p]):
minDif = 0
break
dif = abs(sum(arr[p:]) - sum(arr[:p]))
if dif < min... | Python | zaydzuhri_stack_edu_python |
function get_chembl_version url
begin
set p = url parse url
set host = hostname
set path_str = path
set path_obj = call Path path_str
set path_dir = parent
set filename = name
set ftp = call FTP host=host
call login
call cwd path_str
set files = call nlst
comment for each file, see if regex matches. if matches, return ... | def get_chembl_version(url) -> str:
p = urlparse(url)
host = p.hostname
path_str = p.path
path_obj = pathlib.Path(path_str)
path_dir = path_obj.parent
filename = path_obj.name
ftp = ftplib.FTP(host=host)
ftp.login()
ftp.cwd(path_str)
files = ftp.nlst()
for f in files: # ... | Python | nomic_cornstack_python_v1 |
function draw_rectangle self roi color thickness=2
begin
set top_left = call _format_point call Point roi at 0 roi at 1
set bottom_right = call _format_point call Point roi at 2 roi at 3
call rectangle img tuple tuple call bgra thickness=thickness
end function | def draw_rectangle(self, roi, color, thickness=2):
top_left = self._format_point(Point(roi[0], roi[1]))
bottom_right = self._format_point(Point(roi[2], roi[3]))
opencv.rectangle(self.img, top_left.tuple(), bottom_right.tuple(), color.bgra(), thickness=thickness) | Python | nomic_cornstack_python_v1 |
import sys
set mapping_dict = dict string OTH 0 ; string REJ 1 ; string RSTO 2 ; string RSTOS0 3 ; string RSTR 4 ; string S0 5 ; string S1 6 ; string S2 7 ; string S3 8 ; string SF 9 ; string SH 10 ; string 1 1 ; string 0 0 ; string normal 1 ; string ? - 1
function replaceValue strl
begin
try
begin
return mapping_dict ... | import sys
mapping_dict = {
'OTH': 0,
'REJ': 1,
'RSTO': 2,
'RSTOS0': 3,
'RSTR': 4,
'S0': 5,
'S1': 6,
'S2': 7,
'S3': 8,
'SF': 9,
'SH': 10,
'1':1,
'0':0,
'normal':1,
'?':-1
}
def replaceValue(strl):
try:
return mapping_dict[strl]
except:
... | Python | zaydzuhri_stack_edu_python |
import unittest
from lexer import lexer
from checkWithOriginal import lex
class TestLexer extends TestCase
begin
function test_comment self
begin
assert equal call lexer string (☯‿├┬┴┬┴ Zignoruj mnie proszę list
end function
function test_empty self
begin
assert equal call lexer string list
end function
function test_s... | import unittest
from lexer import lexer
from checkWithOriginal import lex
class TestLexer(unittest.TestCase):
def test_comment(self):
self.assertEqual(lexer("(☯‿├┬┴┬┴ Zignoruj mnie proszę"), [])
def test_empty(self):
self.assertEqual(lexer(""), [])
def test_spaces(self):
self.as... | Python | zaydzuhri_stack_edu_python |
function rt n
begin
return n * n
end function
function lt n
begin
return call rt n - n - 1
end function
function lb n
begin
return call rt n - 2 * n - 1
end function
function rb n
begin
return call rt n - 3 * n - 1
end function
function diagonal n
begin
set s = 1
for i in range 3 n + 2 2
begin
set s = s + call rt i + c... | def rt(n):
return n*n
def lt(n):
return rt(n) - (n-1)
def lb(n):
return rt(n) - 2*(n-1)
def rb(n):
return rt(n) - 3*(n-1)
def diagonal(n):
s = 1
for i in range(3, n+2, 2):
s += (rt(i) + lt(i) +lb(i) + rb(i))
return s
| Python | zaydzuhri_stack_edu_python |
from newton_raphson import *
function f x
begin
return x ^ 4 - 38.5 * x ^ 3 + 458 * x ^ 2 - 1701.5 * x + 741
end function
function df x
begin
return 4 * x ^ 3 - 115.5 * x ^ 2 + 916 * x - 1701.5
end function
set tuple x _ = call newton_raphson f df 12.0
print string x = x | from newton_raphson import *
def f(x):
return x**4 - 38.5*x**3 + 458*x**2 - 1701.5*x + 741
def df(x):
return 4*x**3 - 115.5*x**2 + 916*x - 1701.5
x, _ = newton_raphson(f, df, 12.0)
print("x = ", x) | Python | zaydzuhri_stack_edu_python |
comment Quicksort is a divide and conquer algorithm.
comment A large array is divided into smaller sub-arrays that are then recursively sorted.
comment 1. Pick an element from the array that becomes the pivot.
comment 2. Partition the array so that all elements with values less than the pivot come before the pivot,
com... | # Quicksort is a divide and conquer algorithm.
# A large array is divided into smaller sub-arrays that are then recursively sorted.
# 1. Pick an element from the array that becomes the pivot.
# 2. Partition the array so that all elements with values less than the pivot come before the pivot,
# while all elements wit... | Python | zaydzuhri_stack_edu_python |
function _clone self *args **kwargs
begin
string Overrides the QuerySet._clone method by adding the cloning of the VersionedQuerySet's query_time parameter :param kwargs: Same as the original QuerySet._clone params :return: Just as QuerySet._clone, this method returns a clone of the original object
set clone = call _cl... | def _clone(self, *args, **kwargs):
"""
Overrides the QuerySet._clone method by adding the cloning of the
VersionedQuerySet's query_time parameter
:param kwargs: Same as the original QuerySet._clone params
:return: Just as QuerySet._clone, this method returns a clone of the
... | Python | jtatman_500k |
comment check if crop cat works
import torch
import torch.nn as nn
import torch.nn.functional as F
class UNet extends Module
begin
function __init__ self n_classes
begin
call __init__
comment Hint: Do not use ReLU in last convolutional set of up-path (128-64-64) for stability reasons!
set downc1 = call downStep 1 64
se... | #check if crop cat works
import torch
import torch.nn as nn
import torch.nn.functional as F
class UNet(nn.Module):
def __init__(self, n_classes):
super(UNet, self).__init__()
# Hint: Do not use ReLU in last convolutional set of up-path (128-64-64) for stability reasons!
self.downc1 = downS... | Python | zaydzuhri_stack_edu_python |
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