code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function run self
begin
set last_update_time = time
while not call is_dead
begin
update game_model
update bullet_model
call draw
set last_update_time = time
update display
end
end function | def run(self):
last_update_time = time.time()
while not(self.game_model.is_dead()):
self.game_model.update()
self.bullet_model.update()
self.view.draw()
last_update_time = time.time()
pygame.display.update() | Python | nomic_cornstack_python_v1 |
function upgrade_python c
begin
set newc = c
set newc = replace replace newc string Python string Anaconda string python string anaconda
return newc
end function | def upgrade_python(c):
newc = c
newc = newc.replace('Python', 'Anaconda').replace('python', 'anaconda')
return newc | Python | nomic_cornstack_python_v1 |
function train
begin
comment DO NOT CHANGE SEEDS!
comment Set the random seeds for reproducibility
seed 42
set epoch_num = 3
comment PUT YOUR CODE HERE #
set model = call ConvNet 3 10
comment Obtain Dataset
set train_dataset = call get_cifar10 at string train
set val_dataset = call get_cifar10 at string validation
set ... | def train():
### DO NOT CHANGE SEEDS!
# Set the random seeds for reproducibility
np.random.seed(42)
epoch_num = 3
########################
# PUT YOUR CODE HERE #
#######################
model = ConvNet(3, 10)
#Obtain Dataset
train_dataset = cifar10_utils.get_cifar10()['train']
val_dataset = cif... | Python | nomic_cornstack_python_v1 |
function test_tail_after_append_in_list new_dll
begin
append new_dll 6
assert value == 6
end function | def test_tail_after_append_in_list(new_dll):
new_dll.append(6)
assert new_dll.tail.value == 6 | Python | nomic_cornstack_python_v1 |
function on_session_started session_started_request session
begin
print string on_session_started requestId= + session_started_request at string requestId + string , sessionId= + session at string sessionId
end function | def on_session_started(session_started_request, session):
print("on_session_started requestId=" +
session_started_request['requestId'] + ", sessionId=" +
session['sessionId']) | Python | nomic_cornstack_python_v1 |
from typing import List
class Solution
begin
function findMedianSortedArrays self nums1 nums2
begin
set nums = nums1 + nums2
set nums = sorted nums
set left = 0
set right = 0
if length nums % 2 == 0
begin
set right = length nums / 2
set left = right - 1
end
else
begin
set right = length nums // 2
set left = length nums... | from typing import List
class Solution:
def findMedianSortedArrays(self, nums1: List[int], nums2: List[int]) -> float:
nums = nums1 + nums2
nums = sorted(nums)
left = right = 0
if len(nums) % 2 == 0:
right = len(nums) / 2
left = right - 1
else:
... | Python | zaydzuhri_stack_edu_python |
function test_graph_system_group_traverse_user self
begin
pass
end function | def test_graph_system_group_traverse_user(self):
pass | Python | nomic_cornstack_python_v1 |
function pq_compute_multi_core matched_annotations_list gt_folder pred_folder categories file_client=none nproc=32
begin
if PQStat is none
begin
raise call RuntimeError string panopticapi is not installed, please install it by: pip install git+https://github.com/cocodataset/panopticapi.git.
end
if file_client is none
b... | def pq_compute_multi_core(matched_annotations_list,
gt_folder,
pred_folder,
categories,
file_client=None,
nproc=32):
if PQStat is None:
raise RuntimeError(
'panoptica... | Python | nomic_cornstack_python_v1 |
async function test_dhcp_match_macaddress hass
begin
set integration_matchers = list dict string domain string mock-domain ; string macaddress string B8B7F1*
set packet = call Ether RAW_DHCP_REQUEST
set async_handle_dhcp_packet = await call _async_get_handle_dhcp_packet hass integration_matchers
with call object flow s... | async def test_dhcp_match_macaddress(hass: HomeAssistant) -> None:
integration_matchers = [{"domain": "mock-domain", "macaddress": "B8B7F1*"}]
packet = Ether(RAW_DHCP_REQUEST)
async_handle_dhcp_packet = await _async_get_handle_dhcp_packet(
hass, integration_matchers
)
with patch.object(has... | Python | nomic_cornstack_python_v1 |
import xlsxwriter
string Helper function that writes a particular section of a worksheet, including the relevant information for all twenty teams as well as some basic formatting. @param worksheet The worksheet object (part of xlsxwriter) @param sheet_name The name of the worksheet (str) @param section_name The name of... | import xlsxwriter
'''
Helper function that writes a particular section of a worksheet, including the
relevant information for all twenty teams as well as some basic formatting.
@param worksheet The worksheet object (part of xlsxwriter)
@param sheet_name The name of the worksheet (str)
@param... | Python | zaydzuhri_stack_edu_python |
from Game import *
from Player import *
import pickle
set NB_BATON = 15
set jeu = call Game NB_BATON
comment Nom du joueur (l'humain)
set playerName = input string Entrez votre nom :
comment Mode de jeu (easy, medium, hard)
set gameMode = string
while gameMode != string easy and gameMode != string medium and gameMode ... | from Game import *
from Player import *
import pickle
NB_BATON = 15
jeu = Game(NB_BATON)
# Nom du joueur (l'humain)
playerName = input('Entrez votre nom : \n')
# Mode de jeu (easy, medium, hard)
gameMode=""
while (gameMode != "easy") and (gameMode != "medium") and (gameMode != "hard"):
gameMode = input('Choisir... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Lab 2 - arrangenumbers_0_2.py Task: -Enter a List of Numbers - create a tuple containing values -rearrange the values in correct ascending order -Print the result Created on Sun Jan 17 08:10:31 2021 @author: Ayush
print string 8 puzzle - arrange the numbers by swapping them with the... | # -*- coding: utf-8 -*-
"""
Lab 2 - arrangenumbers_0_2.py
Task:
-Enter a List of Numbers
- create a tuple containing values
-rearrange the values in correct ascending order
-Print the result
Created on Sun Jan 17 08:10:31 2021
@author: Ayush
"""
print ('8 puzzle - arrange the numbers by swapping them with the empty p... | Python | zaydzuhri_stack_edu_python |
function get_future_expire days=3
begin
set limit_date = now + time delta days=days
set q = filter email != none
comment Expire now < expiration < N days
set q = filter paid_until > now
set q = filter paid_until < limit_date
comment Only send notice if the last one was before the first time we could have
comment sent a... | def get_future_expire(days=3):
limit_date = datetime.now() + timedelta(days=days)
q = DBSession.query(User) \
.filter(User.email != '') \
.filter(User.email != None)
# Expire now < expiration < N days
q = q.filter(User.paid_until > datetime.now())
q = q.filter(Us... | Python | nomic_cornstack_python_v1 |
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
set dataset = call load_dataset string tips
comment violin plots are same as box plot and there is one more argument split which sets to True for combining the
comment hue else False, bydefault it sets to False
comment palette used for coloring
ca... | import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
dataset = sns.load_dataset('tips')
#violin plots are same as box plot and there is one more argument split which sets to True for combining the
#hue else False, bydefault it sets to False
#palette used for coloring
sns.violinplot(x ='day', y = '... | Python | zaydzuhri_stack_edu_python |
function best_first_graph_search problem f
begin
set f = call memoize f string f
return call graph_search problem call PriorityQueue min f
end function | def best_first_graph_search(problem, f):
f = memoize(f, 'f')
return graph_search(problem, PriorityQueue(min, f)) | Python | nomic_cornstack_python_v1 |
function message self
begin
return _message
end function | def message(self) -> str:
return self._message | Python | nomic_cornstack_python_v1 |
function evaluate self truth_value=dict include_not=true
begin
set left = evaluate call get_left truth_value
set right = evaluate call get_right truth_value
if _operator == AND
begin
if call has_not
begin
return not left and right
end
return left and right
end
if _operator == OR
begin
if call has_not
begin
return not ... | def evaluate(self, truth_value = {}, include_not = True):
left = self.get_left().evaluate(truth_value)
right = self.get_right().evaluate(truth_value)
if self._operator == LogicNode.AND:
if self.has_not():
return not (left and right)
return left and right... | Python | nomic_cornstack_python_v1 |
string 23. セクション構造 記事中に含まれるセクション名とそのレベル（例えば"== セクション名 =="なら1）を表示せよ． (root) kanekojunjunoMacBook-Pro:part3 kanekojunki$ python q23.py Section name: 国名 Section level 1 Section name: 歴史 Section level 1 Section name: 地理 Section level 1 Section name: 気候 Section level 2 Section name: 政治 Section level 1 ... 長いので省略 Section nam... | """
23. セクション構造
記事中に含まれるセクション名とそのレベル（例えば"== セクション名 =="なら1）を表示せよ．
(root) kanekojunjunoMacBook-Pro:part3 kanekojunki$ python q23.py
Section name: 国名
Section level 1
Section name: 歴史
Section level 1
Section name: 地理
Section level 1
Section name: 気候
Section level 2
Section name: 政治
Section level 1
... 長いので省略
Section... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
comment 代码中的类名、方法名、参数名已经指定，请勿修改，直接返回方法规定的值即可
comment 返回能交换奖品的最大数量
comment @param a int整型
comment @param b int整型
comment @param c int整型
comment @return int整型
class Solution
begin
function numberofprize self a b c
begin
comment write code here
set res = 0
set l = sorted list a b c
while true... | # -*- coding: utf-8 -*-
#
# 代码中的类名、方法名、参数名已经指定，请勿修改，直接返回方法规定的值即可
# 返回能交换奖品的最大数量
# @param a int整型
# @param b int整型
# @param c int整型
# @return int整型
#
class Solution:
def numberofprize(self, a, b, c):
# write code here
res = 0
l = sorted([a, b, c])
while True:
d = min(l)
... | Python | zaydzuhri_stack_edu_python |
function spherical_to_cartesian lons lats depths=none
begin
set phi = call radians lons
set theta = call radians lats
if depths is none
begin
set rr = EARTH_RADIUS
end
else
begin
set rr = EARTH_RADIUS - array depths
end
set cos_theta_r = rr * cos theta
try
begin
set shape = shape
end
comment a list/tuple was passed
exc... | def spherical_to_cartesian(lons, lats, depths=None):
phi = numpy.radians(lons)
theta = numpy.radians(lats)
if depths is None:
rr = EARTH_RADIUS
else:
rr = EARTH_RADIUS - numpy.array(depths)
cos_theta_r = rr * numpy.cos(theta)
try:
shape = lons.shape
except AttributeEr... | Python | nomic_cornstack_python_v1 |
import sys
import pygame
from ObjectsInSpace import *
class Game
begin
function __init__ self screen
begin
comment screen size for convenience during initialization
string at some point, the screen should be abstracted away from the Game class presently, we're doing the rendering and the handling of each "game" in the ... | import sys
import pygame
from ObjectsInSpace import *
class Game:
def __init__(self, screen: pygame.Surface):
# screen size for convenience during initialization
"""at some point, the screen should be abstracted away from the Game class
presently, we're doing the rendering and the handli... | Python | zaydzuhri_stack_edu_python |
function _get_genes self genes
begin
if is instance genes str
begin
set up = call read_table genes header=none comment=string # dtype=str
set ups = as type values str
set ups = list squeeze np ups
end
else
if is instance genes tuple list tuple
begin
set ups = genes
end
else
begin
raise exception string genes must be fi... | def _get_genes(self, genes: Union[str, List[str]]) -> List[str]:
if isinstance(genes, str):
up = pd.read_table(genes, header=None, comment="#", dtype=str)
ups= up.values.astype(str)
ups = list(np.squeeze(ups))
elif isinstance(genes, (list, tuple)):
ups = g... | Python | nomic_cornstack_python_v1 |
function toJson self
begin
return dumps dict string type value ; string data dumps data
end function | def toJson(self) -> str:
return json.dumps({'type': self.type.value, 'data': json.dumps(self.data)}) | Python | nomic_cornstack_python_v1 |
import MySQLdb
import getExcelData
function convert txt
begin
set txt = replace txt string ' string ''
set txt = replace txt string \ string \\
return txt
end function
function csv_from_excel
begin
set fname = string ../External_Links_Report_Module_Breakdown_with_Summary_5_22_15.xlsx
comment fname = '../test.xlsx'
set ... | import MySQLdb
import getExcelData
def convert(txt):
txt = txt.replace("'", "''")
txt = txt.replace("\\", "\\\\")
return txt
def csv_from_excel():
fname = '../External_Links_Report_Module_Breakdown_with_Summary_5_22_15.xlsx'
#fname = '../test.xlsx'
rcDict = getExcelData.getFileData(fname)
... | Python | zaydzuhri_stack_edu_python |
import pickle
import os
import matplotlib.pyplot as plt
import numpy as np
set avg_lowend_impr = dict 20 0.0 ; 40 0.0 ; 80 0.0
set avg_highend_impr = dict 20 0.0 ; 40 0.0 ; 80 0.0
set avg_online_impr = dict 20 0.0 ; 40 0.0 ; 80 0.0
set count = 0
for filename in list directory string results
begin
set count = count + 1
... | import pickle
import os
import matplotlib.pyplot as plt
import numpy as np
avg_lowend_impr = {20 : 0.0, 40 : 0.0, 80 : 0.0}
avg_highend_impr = {20 : 0.0, 40 : 0.0, 80 : 0.0}
avg_online_impr = {20 : 0.0, 40 : 0.0, 80 : 0.0}
count = 0
for filename in os.listdir('results'):
count += 1
if count != 2:
continue | Python | zaydzuhri_stack_edu_python |
from __future__ import division , print_function
import os , pickle
import numpy as np
import warnings
from hmmlearn import hmm
set BASE_PATH = directory name path directory name path absolute path path __file__
set MODEL_PATH = join path BASE_PATH string model/gmmhmm
set WORD_DICT = list string 语音 string 余音 string 识别 ... | from __future__ import division,print_function
import os,pickle
import numpy as np
import warnings
from hmmlearn import hmm
BASE_PATH = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
MODEL_PATH = os.path.join(BASE_PATH,'model/gmmhmm')
WORD_DICT = [
'语音','余音','识别','失败','中国',
'中国','忠告','北京','背景','商... | Python | zaydzuhri_stack_edu_python |
function test_create_routing_slip session staff_user_mock
begin
set routing_slip_payload : Dict at tuple str any = dict string number string 206380834 ; string routingSlipDate string format time now DT_SHORT_FORMAT ; string paymentAccount dict string accountName string TEST ; string payments list dict string paymentMet... | def test_create_routing_slip(session, staff_user_mock):
routing_slip_payload: Dict[str, any] = {
'number': '206380834',
'routingSlipDate': datetime.now().strftime(DT_SHORT_FORMAT),
'paymentAccount': {
'accountName': 'TEST'
},
'payments': [{
'paymentMet... | Python | nomic_cornstack_python_v1 |
function dointerval self conf=0.683
begin
set nd = norm
call dopoint verbose=false
set n = ymax / call pdf 0 / call pdf call interval conf at 0 / 2
set res = call fsolve func n args=conf xtol=xtol full_output=debug
set interval = call minmax res at 0
comment print('interval:', interval[0], interval[1])
return tuple int... | def dointerval(self, conf=0.683):
nd = norm()
self.dopoint(verbose=False)
n = self.ymax / (nd.pdf(0) / (nd.pdf(nd.interval(conf)[0]) / 2))
res = optimize.fsolve(self.func, n, args=(conf), xtol=self.xtol, full_output=self.debug)
self.interval = self.minmax(res[0])
#print('... | Python | nomic_cornstack_python_v1 |
import sys
set n = 10
set n = integer argv at 1
for i in range 1 n + 1
begin
tuple print i
end | import sys
n = 10
n = int(sys.argv[1])
for i in range (1, n+1):
print (i),
| Python | zaydzuhri_stack_edu_python |
function test_default_product_weight self
begin
set prod = product string Test Product
assert equal weight 20
end function | def test_default_product_weight(self):
prod = Product("Test Product")
self.assertEqual(prod.weight, 20) | Python | nomic_cornstack_python_v1 |
comment Samantha Voigt
comment Class that represents the different option frames available for the course browser app
from Tkinter import *
class ScrollableOptionFrame extends Frame
begin
function __init__ self master option allDistributions allSubjects allDepartments searchVars **options
begin
call __init__ self maste... | # Samantha Voigt
# Class that represents the different option frames available for the course browser app
from Tkinter import *
class ScrollableOptionFrame(Frame):
def __init__(self, master, option, allDistributions, allSubjects, allDepartments, searchVars, **options):
Frame.__init__(self, master, **optio... | Python | zaydzuhri_stack_edu_python |
function quantity self quantity
begin
set _quantity = quantity
end function | def quantity(self, quantity):
self._quantity = quantity | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment Packages Used
comment As taken from the [[https://github.com/miso-belica/sumy#python-api][Sumy api page.]]
from __future__ import absolute_import
from __future__ import division , print_function , unicode_literals
from sumy.parsers.html import HtmlParser
from sumy.parsers.plaintext ... | #!/usr/bin/env python
# Packages Used
# As taken from the [[https://github.com/miso-belica/sumy#python-api][Sumy api page.]]
from __future__ import absolute_import
from __future__ import division, print_function, unicode_literals
from sumy.parsers.html import HtmlParser
from sumy.parsers.plaintext import PlaintextP... | Python | zaydzuhri_stack_edu_python |
function tags self
begin
return get pulumi self string tags
end function | def tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
return pulumi.get(self, "tags") | Python | nomic_cornstack_python_v1 |
function voc_eval self detpath annopath imagesetfile classname cachedir ovthresh=0.5 use_07_metric=false
begin
comment assumes detections are in detpath.format(classname)
comment assumes annotations are in annopath.format(imagename)
comment assumes imagesetfile is a text file with each line an image name
comment cached... | def voc_eval(self,
detpath,
annopath,
imagesetfile,
classname,
cachedir,
ovthresh=0.5,
use_07_metric=False):
# assumes detections are in detpath.format(classname)
# assumes annotations ... | Python | nomic_cornstack_python_v1 |
comment perform function on a value, regardless if its a variable or not.
set my_variable = list 1 3 4 5
split my_variable string
split string 2, 3
split string text
count string text | # perform function on a value, regardless if its a variable or not.
my_variable = [1, 3, 4, 5]
my_variable.split("")
"2, 3".split()
"text".split()
"text".count()
| Python | zaydzuhri_stack_edu_python |
function test_invalid_rule_not_stripped self
begin
set html = string <div class="pink">test</div>
set css = string .pink { opacity: 0.8; }
set expected = string <div class="pink" style="opacity: 0.8;">test</div>
set result = call inline_css html css strip_unsupported_css=false pretty_print=false
assert equal expected r... | def test_invalid_rule_not_stripped(self):
html = '<div class="pink">test</div>'
css = '.pink { opacity: 0.8; }'
expected = '<div class="pink" style="opacity: 0.8;">test</div>'
result = inline_css(html, css, strip_unsupported_css=False, pretty_print=False)
self.assertEqual(expecte... | Python | nomic_cornstack_python_v1 |
from cybecube.database import engine
from cybecube.database import Base
from cybecube.database import session
from sqlalchemy import Column , Integer , String
class User extends Base
begin
set __tablename__ = string user
set user_id = call Column Integer primary_key=true
set name = call Column call String 250 nullable=... | from cybecube.database import engine
from cybecube.database import Base
from cybecube.database import session
from sqlalchemy import Column, Integer, String
class User(Base):
__tablename__ = 'user'
user_id = Column(Integer, primary_key=True)
name = Column(String(250), nullable=False)
def create_table_u... | Python | zaydzuhri_stack_edu_python |
function create_dir directory
begin
if not exists path directory
begin
make directories directory
end
end function | def create_dir(directory):
if not os.path.exists(directory):
os.makedirs(directory) | Python | nomic_cornstack_python_v1 |
import csv
import ntpath
import random
import numpy as np
comment Utility Functions
function shuffle_and_split_list_with_ratio input_list ratio
begin
string Shuffles and separates a list into two lists whose sizes are determined by the ratio input :param input_list: List that will be shuffled and split into two separat... | import csv
import ntpath
import random
import numpy as np
# Utility Functions
def shuffle_and_split_list_with_ratio(input_list, ratio):
"""
Shuffles and separates a list into two lists whose sizes are determined by the ratio input
:param input_list: List that will be shuffled and split into two separate l... | Python | zaydzuhri_stack_edu_python |
function get_M F
begin
set M = dict
for i in range length F
begin
if F at i not in keys M
begin
set M at F at i = i
end
end
return M
end function | def get_M(F):
M = {}
for i in range(len(F)):
if F[i] not in M.keys():
M[F[i]] = i
return M | Python | nomic_cornstack_python_v1 |
function test_reminder_time_not_required self
begin
set node = call create_xml_patient dict string Reminder_Time string
set payload = call create_payload list node
call parse_patient node payload
assert equal count patients 1
set patient = all at 0
assert false reminder_time
end function | def test_reminder_time_not_required(self):
node = self.create_xml_patient({'Reminder_Time': ''})
payload = self.create_payload([node])
parse_patient(node, payload)
self.assertEqual(payload.patients.count(), 1)
patient = payload.patients.all()[0]
self.assertFalse(patient.r... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python2.7
set t = tuple 19 42 21
set msg = format string The 3 numbers are: {}, {}, {} 19 42 21
print msg | #!/usr/bin/python2.7
t = (19, 42, 21)
msg = """ The 3 numbers are: {}, {}, {}""".format(19, 42, 21)
print(msg)
| Python | zaydzuhri_stack_edu_python |
from functools import partial
from operator import add
set data = call textFile string /Project/web-Google.txt minPartitions=10
function parse_nodes line
begin
string Function to map over RDD lines. Finds the from and to ids. Parameters ---------- line: string CSV (space) delimited line from RDD. Returns ------- nodes:... | from functools import partial
from operator import add
data = sc.textFile("/Project/web-Google.txt", minPartitions=10)
def parse_nodes(line):
"""Function to map over RDD lines.
Finds the from and to ids.
Parameters
----------
line: string
CSV (space) delimited line from RDD.... | Python | zaydzuhri_stack_edu_python |
function __init__ self ch_in ch_out k pool_size norm_type freeze_norm=false name=string act=string leaky data_format=string NCHW
begin
call __init__
set pool = call ModuleList
set data_format = data_format
for tuple i size in enumerate pool_size
begin
call add_module format string {}_pool_{} name i call MaxPool2d kern... | def __init__(self, ch_in, ch_out, k, pool_size, norm_type, freeze_norm=False, name='', act='leaky', data_format='NCHW'):
super(SPP, self).__init__()
self.pool = nn.ModuleList()
self.data_format = data_format
for i, size in enumerate(pool_size):
self.pool.add_module('{}_pool_{... | Python | nomic_cornstack_python_v1 |
function island_perimeter grid
begin
set land = 0
for c in range length grid
begin
for i in range length grid at c
begin
if grid at c at i == 1
begin
if c - 1 < 0
begin
set land = land + 1
end
else
if grid at c - 1 at i == 0
begin
set land = land + 1
end
if i - 1 < 0
begin
set land = land + 1
end
else
if grid at c at i... | def island_perimeter(grid):
land = 0
for c in range(len(grid)):
for i in range(len(grid[c])):
if grid[c][i] == 1:
if c - 1 < 0:
land += 1
elif grid[c - 1][i] == 0:
land += 1
if i - 1 < 0:
... | Python | nomic_cornstack_python_v1 |
function get_iou bb1 bb2
begin
assert bb1 at 0 < bb1 at 2
assert bb1 at 1 < bb1 at 3
assert bb2 at 0 < bb2 at 2
assert bb2 at 1 < bb2 at 3
comment Determine the coordinates of the intersection rectangle
set x_left = max bb1 at 0 bb2 at 0
set y_top = max bb1 at 1 bb2 at 1
set x_right = min bb1 at 2 bb2 at 2
set y_bottom... | def get_iou(bb1, bb2):
assert bb1[0] < bb1[2]
assert bb1[1] < bb1[3]
assert bb2[0] < bb2[2]
assert bb2[1] < bb2[3]
# Determine the coordinates of the intersection rectangle
x_left = max(bb1[0], bb2[0])
y_top = max(bb1[1], bb2[1])
x_right = min(bb1[2], bb2[2])
y_bottom =... | Python | nomic_cornstack_python_v1 |
import cv2
import numpy as np
import face_recognition
import os
from datetime import datetime
set folder = string images
set images = list
set imagesNames = list
set imgList = list directory folder
print imgList
for each in imgList
begin
set oneImg = call imread string { folder } / { each }
append images oneImg
appen... | import cv2
import numpy as np
import face_recognition
import os
from datetime import datetime
folder = "images"
images = []
imagesNames = []
imgList = os.listdir(folder)
print(imgList)
for each in imgList:
oneImg = cv2.imread(f'{folder}/{each}')
images.append(oneImg)
imagesNames.append(os.path.splitext(ea... | Python | zaydzuhri_stack_edu_python |
import random
comment DecisionFactory communicates with the framework
class DecisionFactory
begin
function __init__ self name=string Davros
begin
set name = name
set directions = list string wait string up string down string right string left
set last_result = string success
set last_direction = string wait
set past_di... | import random
#DecisionFactory communicates with the framework
class DecisionFactory:
def __init__(self , name='Davros' ):
self.name = name
self.directions = [ 'wait', 'up', 'down', 'right', 'left' ]
self.last_result = 'success'
self.last_direction = 'wait'
self.past_directions = ['wait']
self.num_moves =... | Python | zaydzuhri_stack_edu_python |
function isolate_titles targets predictions
begin
set all_target_titles = list
set all_prediction_titles = list
for tuple tar pred in zip targets predictions
begin
set target_titles = find all string \@([^@]*\([^@]*\)[^@]*)\@ tar
set prediction_titles = find all string \@([^@]*\([^@]*\)[^@]*)\@ pred
append all_target... | def isolate_titles(targets, predictions):
all_target_titles = []
all_prediction_titles = []
for tar, pred in zip(targets, predictions):
target_titles = re.findall(r"\@([^@]*\([^@]*\)[^@]*)\@", tar)
prediction_titles = re.findall(r"\@([^@]*\([^@]*\)[^@]*)\@", pred)
all_target_titles.append([x.strip() f... | Python | nomic_cornstack_python_v1 |
function make_response event_list
begin
set appointments = list
for event in event_list
begin
set description = string
if string description in event
begin
set description = event at string description
end
set appointment = dict string id event at string id ; string link event at string htmlLink ; string title event ... | def make_response(event_list):
appointments = []
for event in event_list:
description = ''
if 'description' in event:
description = event['description']
appointment = {
'id': event['id'],
'link': event['htmlLink'],
'title': event['summary']... | Python | zaydzuhri_stack_edu_python |
function specific_place_comment
begin
set user_id = get session string user_id
set user = get query user_id
set comment = form at string comment
set place_id = form at string place_id
set created_date = now
set rating = form at string rating
set new_comment = call Place_comment user_id=user_id place_id=place_id comment... | def specific_place_comment():
user_id = session.get("user_id")
user = User.query.get(user_id)
comment = request.form["comment"]
place_id = request.form["place_id"]
created_date = datetime.now()
rating = request.form["rating"]
new_comment = Place_comment(user_id=user_id, place_id=place... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
for i in range 0 3
begin
print i
end | # -*- coding: utf-8 -*-
for i in range(0, 3):
print(i) | Python | zaydzuhri_stack_edu_python |
function list
begin
string List blink(1) devices connected, by serial number :return: List of blink(1) device serial numbers
try
begin
set devs = enumerate VENDOR_ID PRODUCT_ID
set serials = list map lambda d -> get d string serial_number devs
return serials
end
except IOError as e
begin
return list
end
end function | def list():
"""
List blink(1) devices connected, by serial number
:return: List of blink(1) device serial numbers
"""
try:
devs = hid.enumerate(VENDOR_ID,PRODUCT_ID)
serials = list(map(lambda d:d.get('serial_number'), devs))
return serials
... | Python | jtatman_500k |
class Test
begin
set num = 0
function __init__ self
begin
set num = num + 1
end function
end class
set a = call Test
set b = call Test
set c = call Test
print num | class Test:
num = 0
def __init__(self):
Test.num += 1
a = Test()
b = Test()
c = Test()
print(Test.num)
| Python | zaydzuhri_stack_edu_python |
comment !/bin/env python3
function recursive arr
begin
set size = length arr
if 0 == size
begin
return 0
end
else
if 1 == size
begin
return arr at 0
end
else
begin
return arr at 0 + call recursive arr at slice 1 : size :
end
end function
if __name__ == string __main__
begin
set arrList = list 1 2 3 4
print string %s's ... | #!/bin/env python3
def recursive(arr):
size = len(arr)
if 0 == size:
return 0
elif 1 == size:
return arr[0]
else:
return arr[0]+recursive(arr[1:size])
if __name__ == "__main__":
arrList = [1,2,3,4]
print("%s's sum :%s" % (arrList, recursive(arrList))) | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Sun Jan 6 03:08:49 2019 @author: ratin
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input , Output
import plotly.graph_objs as go
import pandas as pd
from subprocess import check_output
from sklearn.prepr... | # -*- coding: utf-8 -*-
"""
Created on Sun Jan 6 03:08:49 2019
@author: ratin
"""
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.graph_objs as go
import pandas as pd
from subprocess import check_output
from sk... | Python | zaydzuhri_stack_edu_python |
function factorielle n
begin
if n == 0
begin
return 1
end
else
begin
return n * call factorielle n - 1
end
end function
function puissance x n
begin
set S = 1
for i in range 0 n
begin
set S = S * x
end
return S
end function
function calculateSum x n
begin
set S = 0
for i in range 0 n
begin
set N = 2 * i + 1
set S = S +... | def factorielle(n):
if (n == 0):
return 1
else:
return n * factorielle(n - 1)
def puissance(x, n):
S = 1
for i in range(0, n):
S *= x
return S
def calculateSum(x, n):
S = 0
for i in range(0, n):
N = 2*i + 1
S += puissance(x, N) / factorielle(N)
... | Python | zaydzuhri_stack_edu_python |
comment import calendar
comment year = int(input("Type in the year number: "))
comment calendar.prcal(year)
comment above can also be rewritten as:
from calendar import prcal
set year = integer input string Type in the year number:
call prcal year | # import calendar
#
# year = int(input("Type in the year number: "))
# calendar.prcal(year)
# above can also be rewritten as:
from calendar import prcal
year = int(input("Type in the year number: "))
prcal(year)
| Python | zaydzuhri_stack_edu_python |
function get_with_boundaries self name boundaries
begin
string Get a color table from the registry with a corresponding norm. Builds a `matplotlib.colors.BoundaryNorm` using `boundaries`. Parameters ---------- name : str The name under which the color table will be stored boundaries : array_like The list of boundaries ... | def get_with_boundaries(self, name, boundaries):
r"""Get a color table from the registry with a corresponding norm.
Builds a `matplotlib.colors.BoundaryNorm` using `boundaries`.
Parameters
----------
name : str
The name under which the color table will be stored
... | Python | jtatman_500k |
comment ! /usr/bin/env python
from datetime import datetime
import re
import sys
set log_mask = compile string ^(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}) \+\d{4}, (?:([^:]+):\d+), ([a-z]+) ([^ ]+) ([0-9]+)( .*)?$
function parse_file fname
begin
with open fname as infile
begin
for line in infile
begin
set match = match line... | #! /usr/bin/env python
from datetime import datetime
import re
import sys
log_mask = re.compile(
r"^(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}) \+\d{4}, (?:([^:]+):\d+), ([a-z]+) ([^ ]+) ([0-9]+)( .*)?$"
)
def parse_file(fname):
with open(fname) as infile:
for line in infile:
match = log_mask.ma... | Python | zaydzuhri_stack_edu_python |
function adjust_ratio cat1 cat2 sm_sentlen pos_unigrs
begin
set cat1_count = get pos_unigrs cat1 0.0
set cat2_count = get pos_unigrs cat2 0.0
if cat1_count == 0.0 or cat2_count == 0.0
begin
return 0.0
end
else
begin
return call smooth cat1_count sm_sentlen / call smooth cat2_count sm_sentlen
end
end function | def adjust_ratio(cat1,cat2, sm_sentlen, pos_unigrs):
cat1_count = pos_unigrs.get(cat1, 0.0)
cat2_count = pos_unigrs.get(cat2, 0.0)
if cat1_count == 0.0 or cat2_count == 0.0:
return 0.0
else:
return smooth(cat1_count, sm_sentlen) / smooth(cat2_count, sm_sentlen) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment coding: utf-8
comment # Data Preparation
comment ## Why do this step?
comment - The data we scraped from the UFC website is raw data. Every row contains information about a fight that took place i.e. details like how many strikes were thrown in that fight and who won the fight.
comm... | #!/usr/bin/env python
# coding: utf-8
# # Data Preparation
# ## Why do this step?
#
# - The data we scraped from the UFC website is raw data. Every row contains information about a fight that took place i.e. details like how many strikes were thrown in that fight and who won the fight.
# - To prepare the data for pr... | Python | zaydzuhri_stack_edu_python |
function sensor_class self
begin
return _zone_type
end function | def sensor_class(self):
return self._zone_type | Python | nomic_cornstack_python_v1 |
import pandas as pd
from pandas import concat
import numpy as np
import time
import sys
import os
from datetime import date
import calendar
set t0 = time
import psycopg2
import psycopg2.extras
from dateutil import parser
import csv
from unidecode import unidecode
import configparser
set ini_file = string argv at 1
set ... | import pandas as pd
from pandas import concat
import numpy as np
import time
import sys
import os
from datetime import date
import calendar
t0 = time.time()
import psycopg2
import psycopg2.extras
from dateutil import parser
import csv
from unidecode import unidecode
import configparser
ini_file = str... | Python | zaydzuhri_stack_edu_python |
comment tagging
from lxml.html import parse
import sys
function traverse root
begin
if root is none
begin
return
end
else
begin
set attr_id = string attrib at string id
end
end function | #tagging
from lxml.html import parse
import sys
def traverse(root):
if root is None:
return
else:
attr_id = str(root.attrib['id']) | Python | zaydzuhri_stack_edu_python |
function choose multichoice question correct
begin
set counter = 1
set ncorrect = 0
set allowed = string 12345
print string choose a synonym for + question
for option in values multichoice
begin
print string counter + string ) + option
if option == correct
begin
set ncorrect = counter
end
set counter = counter + 1
end
... | def choose(multichoice, question, correct):
counter = 1
ncorrect = 0
allowed = '12345'
print("choose a synonym for "+question)
for option in multichoice.values():
print(str(counter)+")"+option)
if option == correct:
ncorrect = counter
counter = counter + 1
res... | Python | nomic_cornstack_python_v1 |
import logging
from keyboard import main_keyboard
comment Функция greet_user будет вызаваться, когда пользователь напишет /start или подключится к боту в первый раз
comment Параметря принято называть bot & update (должно быть как минимум 2 параметра)
function greet_user bot update
begin
comment text = '''Hello, you can... | import logging
from keyboard import main_keyboard
# Функция greet_user будет вызаваться, когда пользователь напишет /start или подключится к боту в первый раз
#Параметря принято называть bot & update (должно быть как минимум 2 параметра)
def greet_user(bot, update):
#text = '''Hello, you can rule some command and ... | Python | zaydzuhri_stack_edu_python |
function update_cid_groups self body
begin
comment [PATCH] https://assets.falcon.crowdstrike.com/support/api/swagger.html#/mssp/updateCIDGroups
return call process_service_request calling_object=self endpoints=Endpoints operation_id=string updateCIDGroups body=body
end function | def update_cid_groups(self: object, body: dict) -> dict:
# [PATCH] https://assets.falcon.crowdstrike.com/support/api/swagger.html#/mssp/updateCIDGroups
return process_service_request(
calling_object=self,
endpoints=Endpoints,
operation_id="updateCIDGroups",
... | Python | nomic_cornstack_python_v1 |
function relabel_based_on_majority_labels predicted_labels ground_truth transform=true
begin
set unique_predicted_labels = unique predicted_labels
set bool_array_list = list
set most_frequent_label_list = list
for cluster_id in unique_predicted_labels
begin
append bool_array_list predicted_labels == cluster_id
end
fo... | def relabel_based_on_majority_labels(predicted_labels,ground_truth, transform=True):
unique_predicted_labels = np.unique(predicted_labels)
bool_array_list = []
most_frequent_label_list = []
for cluster_id in unique_predicted_labels:
bool_array_list.append(predicted_labels == cluster_id)
for bool_array ... | Python | nomic_cornstack_python_v1 |
comment https://atcoder.jp/contests/dp/tasks/dp_c
set N = integer input
set dp = list 0 * 3
for i in range N
begin
set tuple a b c = map int split input
set x = max dp at 1 + a dp at 2 + a
set y = max dp at 2 + b dp at 0 + b
set z = max dp at 0 + c dp at 1 + c
set dp = list x y z
end
print max dp | # https://atcoder.jp/contests/dp/tasks/dp_c
N = int(input())
dp = [0] * 3
for i in range(N):
a, b, c = map(int, input().split())
x = max(dp[1] + a, dp[2] + a)
y = max(dp[2] + b, dp[0] + b)
z = max(dp[0] + c, dp[1] + c)
dp = [x, y, z]
print(max(dp))
| Python | zaydzuhri_stack_edu_python |
function initialize_target trans_id sid did scid func_id
begin
comment Create asynchronous connection using random connection id.
set conn_id = string random integer 1 9999999
try
begin
set manager = call connection_manager sid
set conn = call connection did=did conn_id=conn_id
end
except Exception as e
begin
return ca... | def initialize_target(trans_id, sid, did,
scid, func_id):
# Create asynchronous connection using random connection id.
conn_id = str(random.randint(1, 9999999))
try:
manager = get_driver(PG_DEFAULT_DRIVER).connection_manager(sid)
conn = manager.connection(did=did, conn... | Python | nomic_cornstack_python_v1 |
function REDS mode
begin
comment configurations
comment whether real all images to memory with multiprocessing
set read_all_imgs = false
comment Set False for use limited memory
comment After BATCH images, lmdb commits, if read_all_imgs = False
set BATCH = 5000
if mode == string train_sharp
begin
set img_folder = strin... | def REDS(mode):
#### configurations
read_all_imgs = False # whether real all images to memory with multiprocessing
# Set False for use limited memory
BATCH = 5000 # After BATCH images, lmdb commits, if read_all_imgs = False
if mode == 'train_sharp':
img_folder = '../../datasets/REDS/train_... | Python | nomic_cornstack_python_v1 |
from user_creator.abstract_factory import AbstractUserFactory
import requests
import twitter
from utils.config import TwitterConfig as Config
class TwitterUserFactory extends AbstractUserFactory
begin
function __init__ self
begin
call __init__
set authenticate_info = dict
set consumer_key = consumer_key
set consumer_s... | from user_creator.abstract_factory import AbstractUserFactory
import requests
import twitter
from utils.config import TwitterConfig as Config
class TwitterUserFactory(AbstractUserFactory):
def __init__(self):
super().__init__()
self.authenticate_info = {}
self.consumer_key = Config.consumer... | Python | zaydzuhri_stack_edu_python |
string Method - DP dp[i][j]: the largest square in [0][0] --> [i][j] Steps: 1. build a dp table, the size of table is len(matrix) * len(matrix[0]) 2. scan dp table from left to right and up to down dp[i][j] = min(dp[i-1][j],dp[i−1][j−1],dp[i][j−1])+1, matrix[i][j] == '1' base case: dp[i][0] = 1, matrix[i][0] == '1' dp[... | '''
Method - DP
dp[i][j]: the largest square in [0][0] --> [i][j]
Steps:
1. build a dp table, the size of table is len(matrix) * len(matrix[0])
2. scan dp table from left to right and up to down
dp[i][j] = min(dp[i-1][j],dp[i−1][j−1],dp[i][j−1])+1, matrix[i][j] == '1'
base case:
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment Object representation of an image - from the data provided in the files
class Image
begin
function __init__ self line_str
begin
set temp_arr = split line_str
comment Integer ID
set id = temp_arr at 0
comment Integer orientation
set temp_arr = list comprehension integer i for i in te... | #!/usr/bin/env python
#Object representation of an image - from the data provided in the files
class Image:
def __init__(self, line_str):
temp_arr = line_str.split()
self.id = temp_arr[0] # Integer ID
temp_arr = [int(i) for i in temp_arr[1:]] # Integer orientation
self.orientation =... | Python | zaydzuhri_stack_edu_python |
comment ! /usr/bin/env python
function big_child_or_year str_arg
begin
call right_child str_arg
print string few_time
end function
function right_child str_arg
begin
print str_arg
end function
if __name__ == string __main__
begin
call big_child_or_year string leave_hand
end | #! /usr/bin/env python
def big_child_or_year(str_arg):
right_child(str_arg)
print('few_time')
def right_child(str_arg):
print(str_arg)
if __name__ == '__main__':
big_child_or_year('leave_hand')
| Python | zaydzuhri_stack_edu_python |
function setup self
begin
pass
end function | def setup(self):
pass | Python | nomic_cornstack_python_v1 |
string Input: a stringified object as follows { 'vocabulary': [str] , 'sizeOfCorpus': int , 'sizeOfBatch': int, 'numberOfTopics': int, 'iteration': int, 'lambda': [[float]] 'articles': [str] } Outputs: a stringified object as follows { 'gamma': [float], 'lambda': [float] } Error: If there is an error it will return typ... | '''
Input: a stringified object as follows
{
'vocabulary': [str] ,
'sizeOfCorpus': int ,
'sizeOfBatch': int,
'numberOfTopics': int,
'iteration': int,
'lambda': [[float]]
'articles': [str]
}
Outputs: a stringified... | Python | zaydzuhri_stack_edu_python |
from lxml import etree
from sys import stdout , stdin
import os
function print_TRIAS FileTRIAS
begin
comment used namespaces
print string File = FileTRIAS
set NS3 = dict string ns3 string http://www.vdv.de/trias ; string coactive string http://shift2rail.org/project/coactive
set parser = call XMLParser remove_blank_tex... | from lxml import etree
from sys import stdout, stdin
import os
def print_TRIAS(FileTRIAS):
# used namespaces
print("File = ", FileTRIAS)
NS3 = {'ns3': "http://www.vdv.de/trias", 'coactive': 'http://shift2rail.org/project/coactive'}
parser = etree.XMLParser(remove_blank_text=True, recover=Tru... | Python | zaydzuhri_stack_edu_python |
function app request
begin
global fixture
if fixture is none
begin
set fixture = call WebApplication
end
return fixture
end function | def app(request) -> Application:
global fixture
if fixture is None:
fixture = WebApplication()
return fixture | Python | nomic_cornstack_python_v1 |
function aux_split data
begin
comment idx = np.bool_(np.zeros(len(data['track_id'])))
comment for track in np.unique(data['track_id']):
comment idx |= data['segment_id']==(data['segment_id'][data['track_id'] == track][:3])
set idx = call bool_ zeros length data at string track_id
for track in unique data at string trac... | def aux_split(data):
# idx = np.bool_(np.zeros(len(data['track_id'])))
# for track in np.unique(data['track_id']):
# idx |= data['segment_id']==(data['segment_id'][data['track_id'] == track][:3])
idx = np.bool_(np.zeros(len(data['track_id'])))
for track in np.unique(data['track_id']):
seg_lst = (data['segment... | Python | nomic_cornstack_python_v1 |
import threading
import socket
import json
import AWSIoTPythonSDK.MQTTLib as AWSIoTPyMQTT
set HOST = string 0.0.0.0
comment [DONE] 166XX, XX is your tool box number
set PORT = 16631
set s = call socket AF_INET SOCK_STREAM
call setsockopt SOL_SOCKET SO_REUSEADDR 1
call bind tuple HOST PORT
call listen 5
set tSocket = li... | import threading
import socket
import json
import AWSIoTPythonSDK.MQTTLib as AWSIoTPyMQTT
HOST = '0.0.0.0'
# [DONE] 166XX, XX is your tool box number
PORT = 16631
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
s.bind((HOST, PORT))
s.listen(5)
tSocket=[]
... | Python | zaydzuhri_stack_edu_python |
function convert_df_to_data_format df data_format
begin
if data_format in list EMPTY PANDAS_DATAFRAME SNOWPARK_OBJECT PYSPARK_OBJECT PANDAS_INDEX PANDAS_STYLER
begin
return df
end
else
if data_format == NUMPY_LIST
begin
comment It's a 1-dimensional array, so we only return
comment the first column as numpy array
commen... | def convert_df_to_data_format(
df: DataFrame, data_format: DataFormat
) -> Union[
DataFrame,
Series[Any],
pa.Table,
np.ndarray[Any, np.dtype[Any]],
Tuple[Any],
List[Any],
Set[Any],
Dict[str, Any],
]:
if data_format in [
DataFormat.EMPTY,
DataFormat.PANDAS_DATAFRAM... | Python | nomic_cornstack_python_v1 |
function ht_bib_full console cache_path=none output_path=none merge_version=none force=false
begin
set debug_start_time = now
debug format string Started: {} debug_start_time
comment LOAD: environment, configuration
set default_root_dir = join path directory name path __file__ string ..
set APP = call AppEnv name=strin... | def ht_bib_full(
console, cache_path=None, output_path=None, merge_version=None, force=False
):
debug_start_time = datetime.datetime.now()
console.debug("Started: {}".format(debug_start_time))
# LOAD: environment, configuration
default_root_dir = os.path.join(os.path.dirname(__file__), "..")
A... | Python | nomic_cornstack_python_v1 |
comment ============================================================================
comment Pessoa
comment ============================================================================
string @apiDefine ObjetoPessoa @apiParam {String} nome Nome da pessoa @apiParam {String} email Email da pessoa @apiParam {String} [tele... | # ============================================================================
# Pessoa
# ============================================================================
"""
@apiDefine ObjetoPessoa
@apiParam {String} nome Nome da pessoa
@apiParam {String} email Email da pessoa
@apiParam {String} [telefone] Telefone da p... | Python | zaydzuhri_stack_edu_python |
import os
import csv
comment Path to collect data from the folder
set pybank = join path string budget_data.csv
comment Read in the CSV file
with open pybank string r newline=string as csvfile
begin
set csvreader = reader csvfile delimiter=string ,
comment This skips the first row of the CSV file.
next csvreader none
s... | import os
import csv
# Path to collect data from the folder
pybank = os.path.join('budget_data.csv')
# Read in the CSV file
with open(pybank, 'r', newline = '') as csvfile:
csvreader = csv.reader(csvfile, delimiter=',')
#This skips the first row of the CSV file.
next(csvreader, None)
... | Python | zaydzuhri_stack_edu_python |
from moeda import *
print string Se quiser o número formatado para valor monetário coloque o parâmetro "formatação = True"
set n = decimal input string Digite um número:
print call aumenta n formatação=false | from moeda import *
print('Se quiser o número formatado para valor monetário coloque o parâmetro "formatação = True"' )
n = float(input('Digite um número: '))
print(aumenta(n,formatação=False))
| Python | zaydzuhri_stack_edu_python |
function test_n_steps_interval_3 self
begin
set n = 3
set scheduler = call n_step_scheduler step_interval=n
assert true call scheduler none
assert false call scheduler none
assert false call scheduler none
assert true call scheduler none
assert false call scheduler none
assert false call scheduler none
end function | def test_n_steps_interval_3(self):
n = 3
scheduler = schedulers.n_step_scheduler(step_interval=n)
self.assertTrue(scheduler(None))
self.assertFalse(scheduler(None))
self.assertFalse(scheduler(None))
self.assertTrue(scheduler(None))
self.assertFalse(scheduler(None))
self.assertFalse(sched... | Python | nomic_cornstack_python_v1 |
function output_processing_status outfile status
begin
write outfile join string list call get_subject_id call get_resource_name string call get_resource_present string call get_data_present
write outfile string
end function | def output_processing_status(outfile, status):
outfile.write('\t'.join([status.get_subject_id(), status.get_resource_name(),
str(status.get_resource_present()), str(status.get_data_present())]))
outfile.write('\n') | Python | nomic_cornstack_python_v1 |
function inline_keyboards_list request bot_id
begin
if method == string GET
begin
set keyboards = all
set serializer = call InlineKeyboardSerializer keyboards many=true
comment print(serializer)
comment print(serializer.data)
return call JsonResponse data safe=false
end
else
if method == string POST
begin
set serialize... | def inline_keyboards_list(request, bot_id):
if request.method == 'GET':
keyboards = InlineKeyboard.objects.filter(bot_id=bot_id).all()
serializer = InlineKeyboardSerializer(keyboards, many=True)
# print(serializer)
# print(serializer.data)
return JsonResponse(serializer.data,... | Python | nomic_cornstack_python_v1 |
from pathlib import Path
import pandas as pd
from PIL import Image
import get_frame
import numpy as np
class FaceMatcher
begin
string Class to match ground truth images. The image file are stored in gt_images/images/ The image metadata are stored in gt_images/gt_info.csv
function __init__ self
begin
set gt_root = paren... | from pathlib import Path
import pandas as pd
from PIL import Image
import get_frame
import numpy as np
class FaceMatcher:
"""
Class to match ground truth images.
The image file are stored in gt_images/images/
The image metadata are stored in gt_images/gt_info.csv
"""
def __init__(self):
... | Python | zaydzuhri_stack_edu_python |
set numbers = list comprehension integer i for i in split input string ,
set indexed = list comprehension index for tuple index value in enumerate numbers if value % 2 == 0
print indexed | numbers = [int(i) for i in input().split(', ')]
indexed = [index for index,value in enumerate(numbers) if value % 2 == 0]
print(indexed) | Python | zaydzuhri_stack_edu_python |
from typing import List
from abc import ABCMeta , abstractmethod
from twisted.internet.defer import Deferred
class DiagramImportApiABC
begin
decorator abstractmethod
function importDisps self modelSetKey coordSetKey importGroupHash dispsEncodedPayload
begin
string Import Disps Add or replace display items in a model :p... | from typing import List
from abc import ABCMeta, abstractmethod
from twisted.internet.defer import Deferred
class DiagramImportApiABC(metaclass=ABCMeta):
@abstractmethod
def importDisps(self, modelSetKey: str, coordSetKey: str, importGroupHash: str,
dispsEncodedPayload: bytes) -> Deferred... | Python | zaydzuhri_stack_edu_python |
function CFN_RESOURCE_TYPE_NAME cls
begin
return call sget cls string CFN_RESOURCE_TYPE_NAME
end function | def CFN_RESOURCE_TYPE_NAME(cls) -> str:
return jsii.sget(cls, "CFN_RESOURCE_TYPE_NAME") | Python | nomic_cornstack_python_v1 |
function step_infer self action
begin
set old_bb = copy bb
set a_x = integer action_threshold * bb at 3
set a_y = integer action_threshold * bb at 2
if action == 0
begin
comment Horizontal - left
set bb at 1 = bb at 1 - a_x
if bb at 1 < 0
begin
set bb at 1 = 0
end
end
else
if action == 1
begin
comment Horizontal - righ... | def step_infer(self, action):
old_bb = self.bb.copy()
a_x = int(self.action_threshold * self.bb[3])
a_y = int(self.action_threshold * self.bb[2])
if(action == 0):
#Horizontal - left
self.bb[1] -= a_x
if(self.bb[1] < 0):
self.bb[1] = 0
... | Python | nomic_cornstack_python_v1 |
string 2721 : 순환 문자열 영어 소문자로 구성된 단어 S1, S2, S3가 있을때, S1의 마지막 문자가 S2의 첫 글자와 같고, S2의 마지막 글자가 S3의 첫 글자와 같고, S3의 마지막 글자가 S1의 첫 글자와 같으면 순환 문자열이라고 한다. 예를 들어 turtle error robot 인 경우 순환 문자열이다. 세 단어가 주어졌을 때 순환 문자열이면 good을 출력, 아니면 bad를 출력하시오.
set S1 = input
set S2 = input
set S3 = input
if S1 at - 1 == S2 at 0 and S2 at - 1 == S... | '''
2721 : 순환 문자열
영어 소문자로 구성된 단어 S1, S2, S3가 있을때,
S1의 마지막 문자가 S2의 첫 글자와 같고,
S2의 마지막 글자가 S3의 첫 글자와 같고,
S3의 마지막 글자가 S1의 첫 글자와 같으면 순환 문자열이라고 한다.
예를 들어 turtle error robot 인 경우 순환 문자열이다.
세 단어가 주어졌을 때 순환 문자열이면 good을 출력, 아니면 bad를 출력하시오.
'''
S1 = input()
S2 = input()
S3 = input()
if(S1[-1]==S2[0] and S2[-1]==S3[0] and S3[-1]... | Python | zaydzuhri_stack_edu_python |
comment real signature unknown
function __new__ *args **kwargs
begin
pass
end function | def __new__(*args, **kwargs): # real signature unknown
pass | Python | nomic_cornstack_python_v1 |
function autonomous self
begin
call putString string mode string auto
call putBoolean string is_ds_attached call isDSAttached
call _on_mode_enable_components
run control_loop_wait_time _execute_components onException
call _on_mode_disable_components
end function | def autonomous(self):
self.__nt.putString('mode', 'auto')
self.__nt.putBoolean('is_ds_attached', self.ds.isDSAttached())
self._on_mode_enable_components()
self._automodes.run(self.control_loop_wait_time,
self._execute_components,
... | Python | nomic_cornstack_python_v1 |
import pandas as pd
import numpy as np
string df['scrore']=df['instance_id'].map(lambda x:random.uniform(0,0.3))
function set_value s
begin
comment RandomState生成随机数种子
set random = call RandomState 0
comment 随机数范围
set a = uniform 0 0.31
set x = round a 9
return x
end function
function load_csv
begin
comment RandomState生... | import pandas as pd
import numpy as np
"""
df['scrore']=df['instance_id'].map(lambda x:random.uniform(0,0.3))
"""
def set_value(s):
random = np.random.RandomState(0) # RandomState生成随机数种子
a = random.uniform(0, 0.31) # 随机数范围
x = round(a,9)
return x
def load_csv():
random = np.random.RandomSta... | Python | zaydzuhri_stack_edu_python |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.