text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>
# find out user choice and redirect to relevant page.
def user_choice(request):
df = shuffle_dataframe() # shuffles df
books = df
book = []
tempo = []
if 'yes_enter' in request.POST:
for i in range(6):
flag = False
while not flag:
rand_... | code_fim | hard | {
"lang": "python",
"repo": "SOFTWARE-ENGINEERING-CSE343/Book-Worm-App",
"path": "/pages_app/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sasankadarbha/dsp path: /otp_m13523468/src/decrypt.py
import sys
#decrypt function
def decrypt_otp(cipher,key):
msg = ""
#compare length of key and cipher
if len(cipher) != len(key):
print ("Error!! Cipher and Key are of different lengths.")
return msg
... | code_fim | hard | {
"lang": "python",
"repo": "sasankadarbha/dsp",
"path": "/otp_m13523468/src/decrypt.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#opening key.txt
key_file = open(keypath,'r')
key = key_file.read()
print ("Key is: ",key)
#opening result.txt
msg_file = open("../data/result.txt", "w")
#function calling and writing output to a file
msg_file.write(decrypt_otp(cipher,key))
#closing result file
msg_file.close()<|fim_pre... | code_fim | hard | {
"lang": "python",
"repo": "sasankadarbha/dsp",
"path": "/otp_m13523468/src/decrypt.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CrCliff/psa-dataset path: /ecs/invoke.py
from typing import Dict, Tuple
import boto3
import time
START=0
STOP=60
SUBNETS = ["subnet-1f26da53", "subnet-47113d21"]
SECURITY_GROUPS = ["sg-0ce615b54d6fb23c1"]
ECS_CLUSTER = "arn:aws:ecs:us-east-1:027517924056:cluster/psa-process"
ECS_TASK_DEFINITION... | code_fim | hard | {
"lang": "python",
"repo": "CrCliff/psa-dataset",
"path": "/ecs/invoke.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in range(START, STOP):
s3_in, s3_out = s3_urls(i)
params = get_params(s3_in, s3_out)
resp = ecs.run_task(**params)
print(i, resp)
if i != 0 and i % 49 == 0:
# We can only run 50 tasks concurrently, wait for these to finish
... | code_fim | hard | {
"lang": "python",
"repo": "CrCliff/psa-dataset",
"path": "/ecs/invoke.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ameliacgraham/hb_challenges path: /reverse_ll.py
def reverse_linked_list(head):
"""Given LL head node, return head node of new, reversed linked list.
>>> ll = Node(1, Node(2, Node(3)))
>>> reverse_linked_list(ll).as_string()
'321'
"""
<|fim_suffix|> while n:
print ... | code_fim | easy | {
"lang": "python",
"repo": "ameliacgraham/hb_challenges",
"path": "/reverse_ll.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
import doctest
if doctest.testmod().failed == 0:
print "\n*** ALL TESTS PASSED. GREAT!\n"<|fim_prefix|># repo: ameliacgraham/hb_challenges path: /reverse_ll.py
def reverse_linked_list(head):
"""Given LL head node, return head node of new, reversed linked lis... | code_fim | medium | {
"lang": "python",
"repo": "ameliacgraham/hb_challenges",
"path": "/reverse_ll.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pdg0709/LeetCode_Python3_Solution path: /数组/59_Spiral_Matrix_II.py
# -*- coding：utf-8 -*-
# &Author AnFany
# 59_Spiral_Matrix_II 螺旋矩阵II
class Solution:
def generateMatrix(self, n: int) -> List[List[int]]:
# 也就是按照右、下、左、上的方向循环放置数字
# 首先新建二维列表，如下形式建立，不可以用[list(range(n)]*n的形式，是... | code_fim | hard | {
"lang": "python",
"repo": "pdg0709/LeetCode_Python3_Solution",
"path": "/数组/59_Spiral_Matrix_II.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 然后向左填充
while l >= 0 and (c, l) not in fill_dict :
spiral_matrix[c][l] = fill_numer # 填充数
fill_numer += 1 # 数加1
fill_sign = 1 # 填充标识符号
fill_dict[(c, l)] = 0
l -= 1 # 列索引减1
if not fill_s... | code_fim | hard | {
"lang": "python",
"repo": "pdg0709/LeetCode_Python3_Solution",
"path": "/数组/59_Spiral_Matrix_II.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 然后向上填充
while c >= 0 and (c, l) not in fill_dict:
spiral_matrix[c][l] = fill_numer # 填充数
fill_numer += 1 # 数加1
fill_sign = 1 # 填充标识符号
fill_dict[(c, l)] = 0
c -= 1 # 行索引减1
if not fill_si... | code_fim | hard | {
"lang": "python",
"repo": "pdg0709/LeetCode_Python3_Solution",
"path": "/数组/59_Spiral_Matrix_II.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class King(Piece):
def __init__(self, color, y, x):
super().__init__(color, y, x)
self.sprite = pygame.image.load("images/{}King.png".format(self.color))
self.sprite = pygame.transform.scale(self.sprite, (50, 50))
self.symbol = "K"
self.image.blit(self.sprite, ... | code_fim | hard | {
"lang": "python",
"repo": "Zamp98-zz/chessPygame",
"path": "/modules/pieces.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Zamp98-zz/chessPygame path: /modules/pieces.py
import pygame
def captureTile(pieceColor, y, x, board):
piece = board.array[y][x]
if piece == None:
return False
else:
if piece.color != pieceColor:
return True
else:
return False
def mo... | code_fim | hard | {
"lang": "python",
"repo": "Zamp98-zz/chessPygame",
"path": "/modules/pieces.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Queen(Piece):
def __init__(self, color, y, x):
super().__init__(color, y, x)
self.sprite = pygame.image.load(
"images/{}Queen.png".format(self.color))
self.sprite = pygame.transform.scale(self.sprite, (50, 50))
self.symbol = "Q"
self.image.blit... | code_fim | hard | {
"lang": "python",
"repo": "Zamp98-zz/chessPygame",
"path": "/modules/pieces.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: buelmanager/python_edu path: /level2/day7_3.py
# 파일출력
## 쓰기
# score_file = open("score.txt", "w", encoding="utf8")
# print("수학 : 0", file=score_file)
# print("영어 : 10", file=score_file)
# score_file.close()
<|fim_suffix|>score_file.close();
## 읽기 반복문으로 읽기
score_file = open("score.txt", "r", e... | code_fim | hard | {
"lang": "python",
"repo": "buelmanager/python_edu",
"path": "/level2/day7_3.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>## 읽기 모두
score_file = open("score.txt", "r", encoding="utf8")
print(score_file.read())
score_file.close();
## 읽기 한줄
score_file = open("score.txt", "r", encoding="utf8")
print(score_file.readline())
print(score_file.readline())
print(score_file.readline())
print(score_file.readline())
score_file.close();... | code_fim | medium | {
"lang": "python",
"repo": "buelmanager/python_edu",
"path": "/level2/day7_3.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Mathesh099/Arithmetic-Exam-Application path: /Arithmetic Exam Application/Stage-3.py
import random
mark = 0
Input = 0
for _ in range(5):
operations = [" + ", " - ", " * "]
question = str(random.randint(2, 9)) + random.choice(operations) + str(random.randint(2, 9))
print(question)
... | code_fim | medium | {
"lang": "python",
"repo": "Mathesh099/Arithmetic-Exam-Application",
"path": "/Arithmetic Exam Application/Stage-3.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> break
except ValueError:
print("Incorrect format.")
continue
print("Your mark is {}/5.".format(mark))<|fim_prefix|># repo: Mathesh099/Arithmetic-Exam-Application path: /Arithmetic Exam Application/Stage-3.py
import random
mark = 0
Input = 0
for _ in range(5):
o... | code_fim | medium | {
"lang": "python",
"repo": "Mathesh099/Arithmetic-Exam-Application",
"path": "/Arithmetic Exam Application/Stage-3.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tmuweh/tutorial.py path: /make_shirt.py
"""Make a shirt for"""
def make_shirt(t_size, message):
<|fim_suffix|> print(summary)
make_shirt("XL", "I Love Python")
make_shirt(message ="I love Python 3", t_size = "M")<|fim_middle|> summary = "Size: " + t_size + "; message: " + message + "!"
| code_fim | medium | {
"lang": "python",
"repo": "tmuweh/tutorial.py",
"path": "/make_shirt.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> print(summary)
make_shirt("XL", "I Love Python")
make_shirt(message ="I love Python 3", t_size = "M")<|fim_prefix|># repo: tmuweh/tutorial.py path: /make_shirt.py
"""Make a shirt for"""
def make_shirt(t_size, message):
<|fim_middle|> summary = "Size: " + t_size + "; message: " + message + "!"
| code_fim | medium | {
"lang": "python",
"repo": "tmuweh/tutorial.py",
"path": "/make_shirt.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pankhuri-52/Machine-Learning-with-Foxmula path: /PythonPrograms/add_2_numbers.py
# -*- coding: utf-8 -*-
'''
Created on Sat Jun 1 22:47:51 2019
@author: Pankhuri Trikha
'''
#single line comment
<|fim_suffix|>weight=int(input('Enter the weight of fuel'))
height=int(input('Enter the height of fu... | code_fim | medium | {
"lang": "python",
"repo": "pankhuri-52/Machine-Learning-with-Foxmula",
"path": "/PythonPrograms/add_2_numbers.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>weight=int(input('Enter the weight of fuel'))
height=int(input('Enter the height of fuel'))
height=height/100;
bmi=weight/(height*height)
print(bmi)
if bmi<25:
print('You do hard work,eat well and sleep well, that life')
print('get a job at sweet shop')
elif bmi>25 and bmi<30:
print('you are f... | code_fim | medium | {
"lang": "python",
"repo": "pankhuri-52/Machine-Learning-with-Foxmula",
"path": "/PythonPrograms/add_2_numbers.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: l3n0nr/dev_ksp path: /Python/kerbal/falkinho/boostback_burn.py
#!/usr/bin/env python
# import module
import sys
sys.path.insert(0, '../')
from base import boostback
<|fim_suffix|> #########################################################################
# X Value Profile Weight #
##... | code_fim | medium | {
"lang": "python",
"repo": "l3n0nr/dev_ksp",
"path": "/Python/kerbal/falkinho/boostback_burn.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> #########################################################################
# X Value Profile Weight #
#########################################################################
#
value = -90 # deorbit garra IIII - +/- 07.125 kg
# value = -115 # dragao capsula II - +/- 12.300 kg
... | code_fim | medium | {
"lang": "python",
"repo": "l3n0nr/dev_ksp",
"path": "/Python/kerbal/falkinho/boostback_burn.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: StanislavDanilov/vk_photo path: /vk_photo.py
import requests
import vk_api
from vk_api.longpoll import VkLongPoll, VkEventType
from vk_api import VkUpload
vk_session = vk_api.VkApi(token='c05dfc0e6bc4911809c7d06f5d497a4bfb587e64839f3aaf36c532c121e682b86cf41332e6f5aedc4aa7f')
attachments = []... | code_fim | hard | {
"lang": "python",
"repo": "StanislavDanilov/vk_photo",
"path": "/vk_photo.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> user_id=event.user_id,
attachment=','.join(attachments),
message='Ваш текст'
)
elif event.from_chat:
vk.messages.send(
chat_id=event.chat_id,
message='Ваш текст')... | code_fim | hard | {
"lang": "python",
"repo": "StanislavDanilov/vk_photo",
"path": "/vk_photo.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jamesjakeies/python-api-tesing path: /selenium_examples/ch5/copy_google_dirive_files_firefox.py
#!/usr/bin/python3
# -*- coding: utf-8 -*-
# 讨论钉钉免费群21745728 qq群144081101 567351477
# CreateDate: 2018-10-20
import time
from selenium import webdriver
from selenium.webdriver.common.action_chains impo... | code_fim | hard | {
"lang": "python",
"repo": "jamesjakeies/python-api-tesing",
"path": "/selenium_examples/ch5/copy_google_dirive_files_firefox.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>element = driver.find_element_by_class_name("l-u-Ab-zb-Pn-ve")
ActionChains(driver).context_click(element).send_keys(Keys.DOWN,Keys.DOWN,Keys.DOWN,Keys.DOWN,Keys.DOWN,Keys.DOWN,Keys.ENTER).perform()
input('Press ENTER to close the automated browser')
driver.quit()<|fim_prefix|># repo: jamesjakeies/python... | code_fim | hard | {
"lang": "python",
"repo": "jamesjakeies/python-api-tesing",
"path": "/selenium_examples/ch5/copy_google_dirive_files_firefox.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mattsteinpreis/hr path: /Contests/WeekOfCode27/DrawingBook.py
def min_turns(n, k):
'''
Naive solution: check both ways, pick lowest
:param n: int, number of pages in book
:param k: int, desired page number
:return: int, minimum number of page turns
'''
n = n + 1 if n ... | code_fim | medium | {
"lang": "python",
"repo": "mattsteinpreis/hr",
"path": "/Contests/WeekOfCode27/DrawingBook.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> n = int(input())
k = int(input())
print(min_turns(n, k))
if __name__ == '__main__':
hackerrank()<|fim_prefix|># repo: mattsteinpreis/hr path: /Contests/WeekOfCode27/DrawingBook.py
def min_turns(n, k):
'''
Naive solution: check both ways, pick lowest
:param n: int, number of... | code_fim | hard | {
"lang": "python",
"repo": "mattsteinpreis/hr",
"path": "/Contests/WeekOfCode27/DrawingBook.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vlad9913/ManagementApplication_Server path: /repository/project_technology_repository.py
class ProjectTechnologyRepository:
def getAll(self):
from domain.project_technology import Project_Technology
pt = Project_Technology.query.all()
return pt
<|fim_suffix|> ... | code_fim | medium | {
"lang": "python",
"repo": "vlad9913/ManagementApplication_Server",
"path": "/repository/project_technology_repository.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def remove(self, project_tech):
from controller import db
db.session.delete(project_tech)
db.session.commit()<|fim_prefix|># repo: vlad9913/ManagementApplication_Server path: /repository/project_technology_repository.py
class ProjectTechnologyRepository:
def getAll(sel... | code_fim | hard | {
"lang": "python",
"repo": "vlad9913/ManagementApplication_Server",
"path": "/repository/project_technology_repository.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> from domain.project_technology import Project_Technology
pt = Project_Technology.query.filter(Project_Technology.project_id == projectId).all()
return pt
def getAllForTechnology(self, techId):
from domain.project_technology import Project_Technology
p... | code_fim | hard | {
"lang": "python",
"repo": "vlad9913/ManagementApplication_Server",
"path": "/repository/project_technology_repository.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> six("hello",-1,"deadbeef")
#gdb.attach(p)
p.interactive()<|fim_prefix|># repo: De4dCr0w/ctf-pwn path: /护网杯/huwang/huwang-exp1.py
from pwn import *
context.log_level = 'debug'
p = process("./huwang")
def six(name,rounds,secret):
<|fim_middle|> p.recvuntil("command>>")
p.sendline("666")
p.recvunt... | code_fim | hard | {
"lang": "python",
"repo": "De4dCr0w/ctf-pwn",
"path": "/护网杯/huwang/huwang-exp1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: De4dCr0w/ctf-pwn path: /护网杯/huwang/huwang-exp1.py
from pwn import *
context.log_level = 'debug'
p = process("./huwang")
def six(name,rounds,secret):
<|fim_suffix|> six("hello",-1,"deadbeef")
#gdb.attach(p)
p.interactive()<|fim_middle|> p.recvuntil("command>>")
p.sendline("666")
p.recvunt... | code_fim | hard | {
"lang": "python",
"repo": "De4dCr0w/ctf-pwn",
"path": "/护网杯/huwang/huwang-exp1.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def _fit_thetas(self, raw_thetas, malm_integrals):
thetas = np.array(raw_thetas)
thetas[:-1] = np.array([malm_integrals[-1]/Mi * p for Mi, p in zip(malm_integrals[:-1], raw_thetas[:-1])])
return thetas
def _integrate_malmquist(self, malm_pars, q0, q1):
... | code_fim | hard | {
"lang": "python",
"repo": "kgullikson88/BinaryInference",
"path": "/MassRatioDistribution.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kgullikson88/BinaryInference path: /MassRatioDistribution.py
An iterable of any size
The iterable should parameterize a function
f(q) = malm_pars[0] + q*malm_pars[1] + q^2 * malm_pars[2] + ...
such that the probability ... | code_fim | hard | {
"lang": "python",
"repo": "kgullikson88/BinaryInference",
"path": "/MassRatioDistribution.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kgullikson88/BinaryInference path: /MassRatioDistribution.py
_gamma + self.ln_completeness - self.lnp
summation = np.nanmean(np.exp(ln_summand[self.good_idx]), axis=1)
return np.sum(np.log(summation)) - self.integral_fcn(f_bin, gamma, malm_pars=self.malm_pars, Pobs=self.Pobs)
... | code_fim | hard | {
"lang": "python",
"repo": "kgullikson88/BinaryInference",
"path": "/MassRatioDistribution.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: stjordanis/cuIBM path: /examples/flapping/Re75/scripts/plotVorticity.py
"""
Plots the vorticity field of a 2D cuIBM simulation.
"""
import os
from snake.cuibm.simulation import CuIBMSimulation
from snake.body import Body
<|fim_suffix|>for time_step in simulation.get_time_steps():
body = Body... | code_fim | hard | {
"lang": "python",
"repo": "stjordanis/cuIBM",
"path": "/examples/flapping/Re75/scripts/plotVorticity.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for time_step in simulation.get_time_steps():
body = Body(file_path=os.path.join('{:0>7}'.format(time_step), 'bodies'))
simulation.read_fields('vorticity', time_step)
simulation.plot_contour('vorticity',
field_range=(-20.0, 20.0, 20),
filled_contou... | code_fim | hard | {
"lang": "python",
"repo": "stjordanis/cuIBM",
"path": "/examples/flapping/Re75/scripts/plotVorticity.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: amarlokman110/Data-Scientist-with-Python-datacamp- path: /09 Foundations of Predictive Analytics in Python (Part 1)/01 Building Logistic Regression Models/05-making-predictions.py
# Fit a logistic regression model
from sklearn import linear_model
X = basetable[["age","gender_F","time_since_last_g... | code_fim | medium | {
"lang": "python",
"repo": "amarlokman110/Data-Scientist-with-Python-datacamp-",
"path": "/09 Foundations of Predictive Analytics in Python (Part 1)/01 Building Logistic Regression Models/05-making-predictions.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Make a prediction for each observation in new_data and assign it to predictions
predictions = logreg.predict_proba(new_data)
print(predictions[0:5])<|fim_prefix|># repo: amarlokman110/Data-Scientist-with-Python-datacamp- path: /09 Foundations of Predictive Analytics in Python (Part 1)/01 Building Logis... | code_fim | medium | {
"lang": "python",
"repo": "amarlokman110/Data-Scientist-with-Python-datacamp-",
"path": "/09 Foundations of Predictive Analytics in Python (Part 1)/01 Building Logistic Regression Models/05-making-predictions.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>num_int = 100
print("Before modification {}".format(num_int))
modifyInt(num_int)
print("After modification {}".format(num_int))
num_float = 100.5
print("Before modification {}".format(num_float))
modifyFloat(num_float)
print("After modification {}".format(num_float))
var_string = "original"
print("Befo... | code_fim | medium | {
"lang": "python",
"repo": "nammo123/python_tutorial",
"path": "/Class11/function_call_by_value_and_reference.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>var_list = [1,2,3,4,5]
print("Before modification {}".format(var_list))
modifyList(var_list)
print("After modification {}".format(var_list))
var_dict = {1:"abc", 2: "xyz"}
print("Before modification {}".format(var_dict))
modifyDict(var_dict)
print("After modification {}".format(var_dict))<|fim_prefix|># ... | code_fim | hard | {
"lang": "python",
"repo": "nammo123/python_tutorial",
"path": "/Class11/function_call_by_value_and_reference.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nammo123/python_tutorial path: /Class11/function_call_by_value_and_reference.py
def modifyInt(a):
print(a)
a = 10
print(a)
def modifyFloat(b):
b = 10.5
def modifyString(c):
c = "modified"
def modifyList(l):
<|fim_suffix|>var_list = [1,2,3,4,5]
print("Before modification {}"... | code_fim | hard | {
"lang": "python",
"repo": "nammo123/python_tutorial",
"path": "/Class11/function_call_by_value_and_reference.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: coosoti/ret-trip path: /src/migrations/0010_auto_20211026_1925.py
# Generated by Django 3.1.3 on 2021-10-26 19:25
from django.db import migrations, models
class Migration(migrations.Migration):
<|fim_suffix|> operations = [
migrations.AddField(
model_name='task',
... | code_fim | hard | {
"lang": "python",
"repo": "coosoti/ret-trip",
"path": "/src/migrations/0010_auto_20211026_1925.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AddField(
model_name='task',
name='delivered_at',
field=models.DateTimeField(blank=True, null=True),
),
migrations.AddField(
model_name='task',
name='delivery_photo',
field=models.... | code_fim | hard | {
"lang": "python",
"repo": "coosoti/ret-trip",
"path": "/src/migrations/0010_auto_20211026_1925.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pusateri/vsd path: /webapp/ui/admin.py
from library.ui.models import Media, Resource, Fileinfo, Screening
from django.contrib import admin
class ResourceAdmin(admin.ModelAdmin):
list_per_page = 500
list_display = ('id', 'title', 'duration')
search_fields = ('id', 'title', 'subject', ... | code_fim | medium | {
"lang": "python",
"repo": "pusateri/vsd",
"path": "/webapp/ui/admin.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class FileinfoAdmin(admin.ModelAdmin):
list_per_page = 500
list_display = ('id', 'secs', 'filename')
search_fields = ('filename',)
class ScreeningAdmin(admin.ModelAdmin):
list_per_page = 500
list_display = ('timestamp', 'user', 'media')
search_fields = ('user__username', 'media__t... | code_fim | hard | {
"lang": "python",
"repo": "pusateri/vsd",
"path": "/webapp/ui/admin.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: handsomeAQ/beautiful-palm-trees path: /game1/Ball.py
import pygame, sys
from pygame.locals import *
pygame.init()
icon = pygame.image.load("tb01.png")
size = width, height = 1000, 600
FPS = 200
#设置帧数的方法
fclock = pygame.time.Clock()
speed = [4,1]
Black = 0,0,0
still = False
#设置游戏的分辨率
... | code_fim | hard | {
"lang": "python",
"repo": "handsomeAQ/beautiful-palm-trees",
"path": "/game1/Ball.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if pygame.display.get_active() :
ballrect = ballrect.move(speed[0],speed[1])
if ballrect.left < 0 or ballrect.right > width:
speed[0] = - speed[0]
if ballrect.right > width and ballrect.right+speed[0] > ballrect.right:
speed[0] = - speed[0]
if ballrect... | code_fim | hard | {
"lang": "python",
"repo": "handsomeAQ/beautiful-palm-trees",
"path": "/game1/Ball.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: iamlab-cmu/stable-baselines path: /stable_baselines_custom/td3/__init__.py
from stable_baselines_custom.common.noise import NormalActio<|fim_suffix|>ustom.td3.td3 import TD3
from stable_baselines_custom.td3.policies import MlpPolicy, CnnPolicy, LnMlpPolicy, LnCnnPolicy<|fim_middle|>nNoise, Ornste... | code_fim | medium | {
"lang": "python",
"repo": "iamlab-cmu/stable-baselines",
"path": "/stable_baselines_custom/td3/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>licies import MlpPolicy, CnnPolicy, LnMlpPolicy, LnCnnPolicy<|fim_prefix|># repo: iamlab-cmu/stable-baselines path: /stable_baselines_custom/td3/__init__.py
from stable_baselines_custom.common.noise import NormalActionNoise, OrnsteinUhlenbeckActionNoise
from stable_baselines_c<|fim_middle|>ustom.td3.td3 ... | code_fim | medium | {
"lang": "python",
"repo": "iamlab-cmu/stable-baselines",
"path": "/stable_baselines_custom/td3/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>pipe_ord.fit(x_train, y_train)
print(f"accuracy = {pipe_ord.score(x_test, y_test):.4f}")<|fim_prefix|># repo: TheDataGirl/vaccinated_classifier path: /random_forest.py
from category_encoders import OrdinalEncoder
from sklearn.impute import SimpleImputer
from sklearn.ensemble import RandomForestClassifier... | code_fim | hard | {
"lang": "python",
"repo": "TheDataGirl/vaccinated_classifier",
"path": "/random_forest.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TheDataGirl/vaccinated_classifier path: /random_forest.py
from category_encoders import OrdinalEncoder
from sklearn.impute import SimpleImputer
from sklearn.ensemble import RandomForestClassifier
from sklearn.pipeline import make_pipeline
from preprocesses.preprocess2 import x_train, y_train, x_... | code_fim | hard | {
"lang": "python",
"repo": "TheDataGirl/vaccinated_classifier",
"path": "/random_forest.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>pipe_ord = make_pipeline(
OrdinalEncoder(),
SimpleImputer(),
RandomForestClassifier(
n_estimators=150,
random_state=10,
max_depth=15,
oob_score=True,
n_jobs=-1,
criterion="gini",
min_samples_split=5,
max_features=6
)
... | code_fim | medium | {
"lang": "python",
"repo": "TheDataGirl/vaccinated_classifier",
"path": "/random_forest.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: psegedy/schemathesis path: /src/schemathesis/cli/context.py
import os
import shutil
from dataclasses import dataclass, field
from queue import Queue
from typing import List, Optional, Union
import hypothesis
from ..constants import CodeSampleStyle
from ..runner.serialization import SerializedTe... | code_fim | medium | {
"lang": "python",
"repo": "psegedy/schemathesis",
"path": "/src/schemathesis/cli/context.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> queue: Queue
filename: Optional[str] = None
@dataclass
class ExecutionContext:
"""Storage for the current context of the execution."""
hypothesis_settings: hypothesis.settings
hypothesis_output: List[str] = field(default_factory=list)
workers_num: int = 1
rate_limit: Optiona... | code_fim | medium | {
"lang": "python",
"repo": "psegedy/schemathesis",
"path": "/src/schemathesis/cli/context.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SardarDawar/BorrowStore path: /ecom1/orders/models.py
from django.db import models
from shop.models import Product
from django.dispatch import receiver
from django.db.models.signals import post_save
from django.contrib.auth.models import User
class staff_contractor_company(models.Model):#bana d... | code_fim | medium | {
"lang": "python",
"repo": "SardarDawar/BorrowStore",
"path": "/ecom1/orders/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> class Meta:
verbose_name_plural='Location'
def __str__(self):
return self.locatio
class history_order(models.Model):
user = models.ForeignKey(User,on_delete=models.CASCADE,null = True)
item = models.CharField(max_length=200)
date = models.DateField(auto_now_add=True)
... | code_fim | medium | {
"lang": "python",
"repo": "SardarDawar/BorrowStore",
"path": "/ecom1/orders/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> global msg
choice=input("Enter your selection:\n").upper()
if choice=="E":
msg=input("Enter the message:\n")
menu()
elif choice=="V":
print("The message is:",msg)
menu()
elif choice=="L":
print("List of files: 42.txt, 1015.txt")
... | code_fim | medium | {
"lang": "python",
"repo": "MrHamdulay/csc3-capstone",
"path": "/examples/data/Assignment_5/mrnjem001/question1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MrHamdulay/csc3-capstone path: /examples/data/Assignment_5/mrnjem001/question1.py
def menu():
choice="none"
print("Welcome to UCT BBS\nMENU\n(E)nter a message\n(V)iew message\n(L)ist files\n(D)isplay file\ne(X)it")
selection()
<|fim_suffix|> global msg
choice=i... | code_fim | medium | {
"lang": "python",
"repo": "MrHamdulay/csc3-capstone",
"path": "/examples/data/Assignment_5/mrnjem001/question1.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
period = cms.int32(4096),
invert = cms.bool(True),
mightGet = cms.optional.untracked.vstring
)<|fim_prefix|># repo: cms-sw/cmssw-cfipython path: /HLTrigger/special/hltEventNumberFilter_cfi.py
import FWCore.ParameterSet.Config as cms
hltEvent<|fim_middle|>NumberFilter = cms.EDFilter('HLTEventNumbe... | code_fim | easy | {
"lang": "python",
"repo": "cms-sw/cmssw-cfipython",
"path": "/HLTrigger/special/hltEventNumberFilter_cfi.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cms-sw/cmssw-cfipython path: /HLTrigger/special/hltEventNumberFilter_cfi.py
import FWCore.ParameterSet.Config as cms
hltEventNumberFilter = cms.EDFilter('HLTEventNumberFilter',<|fim_suffix|>rue),
mightGet = cms.optional.untracked.vstring
)<|fim_middle|>
period = cms.int32(4096),
invert = c... | code_fim | easy | {
"lang": "python",
"repo": "cms-sw/cmssw-cfipython",
"path": "/HLTrigger/special/hltEventNumberFilter_cfi.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@admin.register(File)
class FileAdmin(admin.ModelAdmin):
list_display = ('id', 'origin_file', 'origin_mime', 'processed_file', 'progress', 'origin_text', 'processed_text')<|fim_prefix|># repo: 2la/KEKTEXT path: /document_processing/admin.py
from django.contrib import admin
<|fim_middle|>from .model... | code_fim | easy | {
"lang": "python",
"repo": "2la/KEKTEXT",
"path": "/document_processing/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 2la/KEKTEXT path: /document_processing/admin.py
from django.contrib import admin
<|fim_suffix|>@admin.register(File)
class FileAdmin(admin.ModelAdmin):
list_display = ('id', 'origin_file', 'origin_mime', 'processed_file', 'progress', 'origin_text', 'processed_text')<|fim_middle|>from .models... | code_fim | easy | {
"lang": "python",
"repo": "2la/KEKTEXT",
"path": "/document_processing/admin.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> list_display = ('id', 'origin_file', 'origin_mime', 'processed_file', 'progress', 'origin_text', 'processed_text')<|fim_prefix|># repo: 2la/KEKTEXT path: /document_processing/admin.py
from django.contrib import admin
from .models import File
<|fim_middle|>@admin.register(File)
class FileAdmin(admi... | code_fim | easy | {
"lang": "python",
"repo": "2la/KEKTEXT",
"path": "/document_processing/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # extract 3d pts
pts3d_curr = []
pts2d_near_filtered = [] # keep only feature points with depth in the current frame
for i, pt2d in enumerate(pts2d_curr):
# print(pt2d)
u, v = pt2d[0], pt2d[1]
z = depth_dilated[v, u]
if z > 0:
xyz_curr = P_2D_3D(u, v, ... | code_fim | hard | {
"lang": "python",
"repo": "bhatiaabhishek/sparse-to-dense.pytorch",
"path": "/estimate_pose.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bhatiaabhishek/sparse-to-dense.pytorch path: /estimate_pose.py
import cv2
import sys
import numpy as np
import matplotlib.pyplot as plt
def P_2D_3D(u,v,d,K):
u0 = K[0][2]
v0 = K[1][2]
fy = K[1][1]
fx = K[0][0]
x = (u-u0)*d/fx
y = (v-v0)*d/fy
return (x,y,d)
def fea... | code_fim | hard | {
"lang": "python",
"repo": "bhatiaabhishek/sparse-to-dense.pytorch",
"path": "/estimate_pose.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_pose(rgb,depth,rgb_near,K):
rgb_gray = cv2.cvtColor(rgb, cv2.COLOR_RGB2GRAY)
rgb_near_gray = cv2.cvtColor(rgb_near, cv2.COLOR_RGB2GRAY)
pts2d_curr, pts2d_near = feature_match(rgb_gray,rgb_near_gray)
#dilating depth
kernel = np.ones((4,4), np.uint8)
depth_dilated = cv2.d... | code_fim | hard | {
"lang": "python",
"repo": "bhatiaabhishek/sparse-to-dense.pytorch",
"path": "/estimate_pose.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> base_question_dir = os.path.join(settings.MEDIA_ROOT, '{0}'.format(self.interview_question.pk))
instance_question_dir = os.path.join(base_question_dir, 'instances/{0}'.format(self.question_instance_pk))
shutil.rmtree(instance_question_dir)<|fim_prefix|># repo: mike2151/encompass p... | code_fim | medium | {
"lang": "python",
"repo": "mike2151/encompass",
"path": "/submission_result/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mike2151/encompass path: /submission_result/models.py
from django.conf import settings
import shutil
import os
from django.db import models
class SubmissionResult(models.Model):
tests_passed_body = models.TextField(default='')
results_body = models.TextField(default='')
visability_b... | code_fim | medium | {
"lang": "python",
"repo": "mike2151/encompass",
"path": "/submission_result/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TugberkArkose/MLScheduler path: /benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_ml/backup_results_unknownr/cmp_omnetpp/power.py
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.000129532,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00256... | code_fim | hard | {
"lang": "python",
"repo": "TugberkArkose/MLScheduler",
"path": "/benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_ml/backup_results_unknownr/cmp_omnetpp/power.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0213349,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0213349,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gati... | code_fim | hard | {
"lang": "python",
"repo": "TugberkArkose/MLScheduler",
"path": "/benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_ml/backup_results_unknownr/cmp_omnetpp/power.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def getFloorHex(targets):
'''
根据楼层获取协议hex编码(8个字节)
:param targets:
:return:
'''
floors = [['0'], ['0'], ['0'], ['0'], ['0'], ['0'], ['0'], ['0'] # 1 - 8楼
,['0'], ['0'], ['0'], ['0'], ['0'], ['0'], ['0'], ['0']
,['0'], ['0'], ['0'], ['0'], ['0'], ['0'], [... | code_fim | hard | {
"lang": "python",
"repo": "lengyue1024/notes",
"path": "/Python/practice/door/CommonUtils.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lengyue1024/notes path: /Python/practice/door/CommonUtils.py
import time
def bytesToHex(bins):
'''
把字节数组转换为16进制字符串,不带0x前缀
:param bins:
:return:
'''
return ''.join([hex(i).replace('0x','').zfill(2).upper() for i in bins])
def hexToBytes(hexStr):
'''
16进制字符串,转换为字节数... | code_fim | hard | {
"lang": "python",
"repo": "lengyue1024/notes",
"path": "/Python/practice/door/CommonUtils.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
获取指定16进制的反码,不包含0x前缀
:param hex_num:
:return:
'''
if type(num) == str:
num = int(num,16)
return hex(0xFF - num).replace('0x','').zfill(2).upper()
def now():
'''
获取当前时间字符串
:return:
'''
return time.strftime("%Y-%m-%d %H:%M:%S")
def getFloorHex(ta... | code_fim | hard | {
"lang": "python",
"repo": "lengyue1024/notes",
"path": "/Python/practice/door/CommonUtils.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>IN = [line for line in open("circles.in")]
N = int(IN[0])
def dis(x1, y1, x2, y2):
return (x1 - x2) * (x1 - x2) + (y1 - y2) * (y1 - y2)
A = []
for i in range(1, N + 1):
x1, y1, x2, y2, x3, y3 = [int(x) for x in IN[i].split()]
a = dis(x1, y1, x2, y2)
b = dis(x1, y1, x3, y3)
c = dis(... | code_fim | hard | {
"lang": "python",
"repo": "lavandalia/work",
"path": "/Yandex Algorithm 2013/Test Round/A/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>A = []
for i in range(1, N + 1):
x1, y1, x2, y2, x3, y3 = [int(x) for x in IN[i].split()]
a = dis(x1, y1, x2, y2)
b = dis(x1, y1, x3, y3)
c = dis(x2, y2, x3, y3)
cos = b + c - a, 4 * b * c
cos = cos[0] * cos[0], cos[1]
sin = cos[1] - cos[0], cos[1]
R = a * sin[1], sin[0... | code_fim | hard | {
"lang": "python",
"repo": "lavandalia/work",
"path": "/Yandex Algorithm 2013/Test Round/A/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lavandalia/work path: /Yandex Algorithm 2013/Test Round/A/main.py
def cmp_to_key(mycmp):
'Convert a cmp= function into a key= function'
class K(object):
def __init__(self, obj, *args):
self.obj = obj
def __lt__(self, other):
return mycmp(self.obj, o... | code_fim | hard | {
"lang": "python",
"repo": "lavandalia/work",
"path": "/Yandex Algorithm 2013/Test Round/A/main.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: willji/cmd_controller path: /tools/get_nginx.py
from salt_act.api import SaltHttp
from pyzabbix import ZabbixAPI
import os
import sys
from threading import Thread, activeCount
import time
reload(sys)
sys.setdefaultencoding('utf-8')
MASTER = 'saltapi.pro.ymatou.cn'
TOKEN = '0cdffd479c53928502c41... | code_fim | hard | {
"lang": "python",
"repo": "willji/cmd_controller",
"path": "/tools/get_nginx.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_configs(minion, ipaddress):
SaltTool(minion, ipaddress).get_configs()
fail_ips = []
for ip in ips:
while activeCount() > 10:
print activeCount()
time.sleep(1)
Thread(target=get_configs, args=(str(ip.replace('.', '')), str(ip))).start()
while True:
time.sleep(1)
... | code_fim | hard | {
"lang": "python",
"repo": "willji/cmd_controller",
"path": "/tools/get_nginx.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>for i in range(len(array)):
if target in array[i]:
return 'true'
return 'false'
while True:
try:
S = Solution()
# 字符串转为list
L = list(eval(input()))
array = L[1]
target = L[0]
print(S.Find(target, array))
except:
... | code_fim | hard | {
"lang": "python",
"repo": "fsym-fs/Python_AID",
"path": "/剑指office/demo01.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fsym-fs/Python_AID path: /剑指office/demo01.py
"""
时间限制：
C/C++ 1秒，其他语言2秒 空间限制：C/C++ 32M，其他语言64M 热度指数：1521915
本题知识点： 查找 数组
题目描述:
在一个二维数组中（每个一维数组的长度相同），
每一行都按照从左到右递增的顺序排序，
每一列都按照从上到下递增的顺序排序。
请完成一个函数，输入这样的一个二维数组和一个整数，判断数组中是否含有该整数。
"""
# -*- coding:utf-8 -*-
class Solution:
# ... | code_fim | medium | {
"lang": "python",
"repo": "fsym-fs/Python_AID",
"path": "/剑指office/demo01.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>while True:
try:
S = Solution()
# 字符串转为list
L = list(eval(input()))
array = L[1]
target = L[0]
print(S.Find(target, array))
except:
break<|fim_prefix|># repo: fsym-fs/Python_AID path: /剑指office/demo01.py
"""
时间限制：
C/C++ 1秒，其他语言2秒 空间限制：C/... | code_fim | hard | {
"lang": "python",
"repo": "fsym-fs/Python_AID",
"path": "/剑指office/demo01.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: asymmetry/leetcode path: /0083_remove_duplicates_from_sorted_list/solution_1.py
#!/usr/bin/env python3
# Definition for singly-linked list.
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
def __repr__(self):
p = self
result = f'{p.v... | code_fim | medium | {
"lang": "python",
"repo": "asymmetry/leetcode",
"path": "/0083_remove_duplicates_from_sorted_list/solution_1.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
print(Solution().deleteDuplicates(_makeList([1, 1, 2])))
print(Solution().deleteDuplicates(_makeList([1, 1, 2, 3, 3])))<|fim_prefix|># repo: asymmetry/leetcode path: /0083_remove_duplicates_from_sorted_list/solution_1.py
#!/usr/bin/env python3
# Definition for singly-... | code_fim | hard | {
"lang": "python",
"repo": "asymmetry/leetcode",
"path": "/0083_remove_duplicates_from_sorted_list/solution_1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Vanna011/youtube-dl-streisand path: /youtube_dl/extractor/tiktok.py
# coding: utf-8
from __future__ import unicode_literals
from .common import InfoExtractor
class TikTokIE(InfoExtractor):
_VALID_URL = r'https?://(?:www\.)?tiktok.com/@([a-zA-Z0-9\._]+)/video/(?P<id>[0-9]+)'
# _VALID_URL... | code_fim | hard | {
"lang": "python",
"repo": "Vanna011/youtube-dl-streisand",
"path": "/youtube_dl/extractor/tiktok.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> watermarkedVideo = self._download_webpage(watermarkedURL, '')
idPosition = watermarkedVideo.index('vid:')
try:
secretVideoID = watermarkedVideo[idPosition + 4: idPosition + 36]
except ValueError:
url = watermarkedURL
else:
url = ... | code_fim | hard | {
"lang": "python",
"repo": "Vanna011/youtube-dl-streisand",
"path": "/youtube_dl/extractor/tiktok.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>UDP_IP = "0.0.0.0"
UDP_PORT = 5005
sock = socket.socket(socket.AF_INET, # Internet
socket.SOCK_DGRAM) # UDP
sock.bind((UDP_IP, UDP_PORT))
while True:
data, addr = sock.recvfrom(1024)
rcv_timestamp = convert_to_ntp_time(time.time())
packet = NTPPacket()
packet.conve... | code_fim | hard | {
"lang": "python",
"repo": "thatgeekyperson/NTPServer",
"path": "/ntp_server.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thatgeekyperson/NTPServer path: /ntp_server.py
import socket
import struct
import datetime
import time
NTP_DELTA = (datetime.date(*time.gmtime(0)[0:3]) - datetime.date(1900, 1, 1)).days * 24 * 60 * 60
def convert_to_ntp_time(timestamp):
return timestamp + NTP_DELTA
class NTPPacket:
_P... | code_fim | hard | {
"lang": "python",
"repo": "thatgeekyperson/NTPServer",
"path": "/ntp_server.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>while True:
data, addr = sock.recvfrom(1024)
rcv_timestamp = convert_to_ntp_time(time.time())
packet = NTPPacket()
packet.convert_to_obj(data)
packet.mode = 4
packet.org_timestamp = packet.xmt_timestamp
packet.rcv_timestamp = rcv_timestamp
packet.xmt_timestamp = convert_t... | code_fim | hard | {
"lang": "python",
"repo": "thatgeekyperson/NTPServer",
"path": "/ntp_server.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SumAllFoundation/powerpoetry-twitter-demo path: /pptwitter/tasks.py
import logging
import os
from celery.task.schedules import crontab
from celery.task import periodic_task
from tweepy import Cursor, TweepError
import pptwitter
from pptwitter.app import celery # NOQA
from pptwitter.app import... | code_fim | hard | {
"lang": "python",
"repo": "SumAllFoundation/powerpoetry-twitter-demo",
"path": "/pptwitter/tasks.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>@periodic_task(run_every=crontab(minute="*/1"))
def poll_twitter():
logger.info("Processing poems...")
q = app.config.get("QUERY")
count = app.config.get("COUNT")
kwargs = dict(q=q, count=count, result_type="recent", lang="en")
try:
config_since_id = Config.get(Config.name == "... | code_fim | hard | {
"lang": "python",
"repo": "SumAllFoundation/powerpoetry-twitter-demo",
"path": "/pptwitter/tasks.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> async def prove(self):
await self.get_url()
if self.base_url:
async with ClientSession() as session:
for path in self.url_normpath(self.url, ['./php7cms/', './']):
postData = {
'data': '<?php phpinfo()?>'
... | code_fim | hard | {
"lang": "python",
"repo": "gladiopeace/Tentacle",
"path": "/script/php7cms/php7cms_getshell.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gladiopeace/Tentacle path: /script/php7cms/php7cms_getshell.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @author: 'orleven'
from lib.utils.connect import ClientSession
from lib.core.enums import VUL_LEVEL
from lib.core.enums import VUL_TYPE
from lib.core.enums import SERVICE_PORT_MAP
from ... | code_fim | hard | {
"lang": "python",
"repo": "gladiopeace/Tentacle",
"path": "/script/php7cms/php7cms_getshell.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lzhw1991/XIBEM path: /BEM3D/Meshes.py
xi2=np.asarray(xi2,np.float).reshape(-1,)
xb=np.array(xi1);yb=np.ones(xi1.shape);zb=np.array(xi2);
xx=xb**2;yy=yb**2;zz=zb**2;
dxdxi1 = 1.0*np.sqrt(1.0 - yy/2.0 - zz/2.0 + yy*zz/3.0)
dxdxi2 = 1.0*xb*0.5*(1.0 - yy/2.0 -... | code_fim | hard | {
"lang": "python",
"repo": "lzhw1991/XIBEM",
"path": "/BEM3D/Meshes.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lzhw1991/XIBEM path: /BEM3D/Meshes.py
0)**-0.5 * (-xb+2.0*xb*zz/3.0)
dydxi2 = 1.0*yb*0.5*(1.0 - xx/2.0 - zz/2.0 + xx*zz/3.0)**-0.5 * (-zb+2.0*xx*zb/3.0)
dzdxi1 = 1.0*zb*0.5*(1.0 - xx/2.0 - yy/2.0 + xx*yy/3.0)**-0.5 * (-xb+2.0*xb*yy/3.0)
dzdxi2 = 1.0*np.sqrt(1.0 - xx/2.0 - ... | code_fim | hard | {
"lang": "python",
"repo": "lzhw1991/XIBEM",
"path": "/BEM3D/Meshes.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> xi1=np.asarray(xi1,np.float).reshape(-1,)
xi2=np.asarray(xi2,np.float).reshape(-1,)
xb=np.array(xi1);yb=np.array(xi2);zb=-np.ones(xi1.shape);
xx=xb**2;yy=yb**2;zz=zb**2;
x = xb*np.sqrt(1.0 - yy/2.0 - zz/2.0 + yy*zz/3.0)
y = yb*np.sqrt(1.0 - xx/2.0 - zz/2.0 +... | code_fim | hard | {
"lang": "python",
"repo": "lzhw1991/XIBEM",
"path": "/BEM3D/Meshes.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if pos.y() >= self._origin.y():
self._rect.setBottom(pos.y())
else:
self._rect.setTop(pos.y())
self._rect = self._rect.normalized()
self.update()
return
else:
super().mouseMoveEvent(event)
if ... | code_fim | hard | {
"lang": "python",
"repo": "mdalboni/PySide2-Widgets",
"path": "/widgets/resizable_rect_item.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mdalboni/PySide2-Widgets path: /widgets/resizable_rect_item.py
from PySide2.QtWidgets import *
from PySide2.QtCore import *
from PySide2.QtGui import *
import sys
class ResizableRectItem(QGraphicsObject):
rectChanged = Signal(QRect)
def __init__(self, rect: QRect()):
super()._... | code_fim | hard | {
"lang": "python",
"repo": "mdalboni/PySide2-Widgets",
"path": "/widgets/resizable_rect_item.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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