text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: Yetaeng/Problem-Solving path: /programmers/Python/구명보트.py
from collections import deque
def solution(people, limit):
<|fim_suffix|> left_idx = 0
right_idx = len(people)-1
while left_idx <= right_idx:
if people[left_idx] + people[right_idx] <= limit:
cnt += 1
... | code_fim | easy | {
"lang": "python",
"repo": "Yetaeng/Problem-Solving",
"path": "/programmers/Python/구명보트.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: elleryqueenhomels/universal_style_transfer path: /main.py
# Demo - train the decoders & use them to stylize image
from __future__ import print_function
from train import train
from infer import stylize
from utils import list_images
<|fim_suffix|>
if IS_TRAINING:
training_imgs_path... | code_fim | hard | {
"lang": "python",
"repo": "elleryqueenhomels/universal_style_transfer",
"path": "/main.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def main():
if IS_TRAINING:
training_imgs_paths = list_images(TRAINING_IMGS_PATH)
train(training_imgs_paths,
ENCODER_WEIGHTS_PATH,
MODEL_SAVE_PATH,
autoencoder_levels=AUTUENCODER_LEVELS_TRAIN,
debug=DEBUG,
logging... | code_fim | hard | {
"lang": "python",
"repo": "elleryqueenhomels/universal_style_transfer",
"path": "/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@is_command
def item_info(self, player, *args):
if len(args) == 0:
raise CommandException(CommandException.NOT_ENOUGH_ARGUMENTS)
item_id = args[0]
if item_id in player.inventory:
item = player.inventory[item_id]
elif item_id in player.locati... | code_fim | medium | {
"lang": "python",
"repo": "lysol/lvlss",
"path": "/src/commands/item_info.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@given('the browser is open, navigate to the SCALE URL, and login')
def the_browser_is_open_navigate_to_the_scale_url_and_login(driver, nas_ip, root_password):
"""the browser is open, navigate to the SCALE URL, and login."""
if nas_ip not in driver.current_url:
driver.get(f"http://{nas_ip}... | code_fim | medium | {
"lang": "python",
"repo": "truenas/webui",
"path": "/tests/bdd/scale/test_NAS_T1250.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: truenas/webui path: /tests/bdd/scale/test_NAS_T1250.py
# coding=utf-8
"""SCALE UI: feature tests."""
import pytest
import xpaths
from function import (
wait_on_element,
is_element_present,
wait_on_element_disappear
)
from pytest_bdd import (
given,
scenario,
then,
whe... | code_fim | hard | {
"lang": "python",
"repo": "truenas/webui",
"path": "/tests/bdd/scale/test_NAS_T1250.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>@then('on the Groups page, click Add')
def on_the_groups_page_click_add(driver):
"""on the Groups page, click Add."""
assert wait_on_element(driver, 10, xpaths.groups.title)
assert wait_on_element(driver, 10, xpaths.button.add, 'clickable')
driver.find_element_by_xpath(xpaths.button.add).c... | code_fim | hard | {
"lang": "python",
"repo": "truenas/webui",
"path": "/tests/bdd/scale/test_NAS_T1250.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> No parameters required.
Returns:
ChatMembersFilter
Raises:
:class:`telegram.Error`
"""
ID = "chatMembersFilterAdministrators"
def __init__(self, **kwargs):
pass
@staticmethod
def read(q: dict, *args) -> "ChatMembersFilterAdministrators":... | code_fim | medium | {
"lang": "python",
"repo": "iTeam-co/pytglib",
"path": "/pytglib/api/types/chat_members_filter_administrators.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: iTeam-co/pytglib path: /pytglib/api/types/chat_members_filter_administrators.py
from ..utils import Object
class ChatMembersFilterAdministrators(Object):
"""
Returns the owner and administrators
Attributes:
ID (:obj:`str`): ``ChatMembersFilterAdministrators``
<|fim_suffi... | code_fim | medium | {
"lang": "python",
"repo": "iTeam-co/pytglib",
"path": "/pytglib/api/types/chat_members_filter_administrators.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: styagi15/Python path: /prac.py
#!/usr/bin/python
L=['ABC','ABC']
con1=[]
for i in range (0,len(L[1])):
#con.append(L[1][i])
con=[]
for j in range (0, len(L)):
print(L[j][i])
<|fim_suffix|>for k in range (0,len(con1)):
if con1[k].count('A')==2:
con2.append('a')
elif con1... | code_fim | easy | {
"lang": "python",
"repo": "styagi15/Python",
"path": "/prac.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>con2=[]
for k in range (0,len(con1)):
if con1[k].count('A')==2:
con2.append('a')
elif con1[k].count('B')==2:
con2.append('b')
else:
con2.append('n')<|fim_prefix|># repo: styagi15/Python path: /prac.py
#!/usr/bin/python
L=['ABC','ABC']
con1=[]
for i in range (0,len(L[1])):
#con.ap... | code_fim | easy | {
"lang": "python",
"repo": "styagi15/Python",
"path": "/prac.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
image = np.zeros((512,512,3), np.uint8)
# Let's define four points
pts = np.array( [[10,50], [400,50], [90,200], [50,500]], np.int32)
# Let's now reshape our points in form required by polylines
pts = pts.reshape((-1,1,2))
cv2.polylines(image, [pts], True, (0,0,255), 3)
cv2.imshow("Polygon", image... | code_fim | hard | {
"lang": "python",
"repo": "SumathiGit/OpenCv",
"path": "/Images and shapes.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
"""
image = np.zeros((512,512,3), np.uint8)
cv2.putText(image, 'Hello World!', (75,290), cv2.FONT_HERSHEY_COMPLEX, 2, (100,170,0), 3)
cv2.imshow("Hello World!", image)
cv2.imwrite("Text.jpg",image)
cv2.waitKey(0)
cv2.destroyAllWindows()<|fim_prefix|># repo: SumathiGit/OpenCv path: /Images and shapes.p... | code_fim | hard | {
"lang": "python",
"repo": "SumathiGit/OpenCv",
"path": "/Images and shapes.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SumathiGit/OpenCv path: /Images and shapes.py
import cv2
import numpy as np
"""
# Create a black image
image = np.zeros((512,512,3), np.uint8)
# Can we make this in black and white?
image_bw = np.zeros((512,512), np.uint8)
cv2.imshow("Black Rectangle (Color)", image)
cv2.imshow("Black Rectangle... | code_fim | hard | {
"lang": "python",
"repo": "SumathiGit/OpenCv",
"path": "/Images and shapes.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: giorgiovinci/amshackathon path: /backend/ams/views.py
from django import http
from django.utils import simplejson as json
import urllib2
import logging
from google.appengine.api import urlfetch
import cmath
import math
from ams.forthsquare import ForthSquare
from ams.twitter import Twitter
OAUT... | code_fim | hard | {
"lang": "python",
"repo": "giorgiovinci/amshackathon",
"path": "/backend/ams/views.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
if len(venuesInRadar) == 1:
# return detailed information
response = http.HttpResponse(venuesInRadar[0],
content_type='application/json')
response["Access-Control-Allow-Origin"] = "*"
return response
'''
print venuesIn... | code_fim | hard | {
"lang": "python",
"repo": "giorgiovinci/amshackathon",
"path": "/backend/ams/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Test that get_pylintrc_path finds the expected one in the hiearchy."""
search_paths, expected_path, __ = pylintrc_files
mocker.patch("pylint.config.os.path.expanduser",
return_value=search_paths[HOME_DIR])
actual_path = get_pylintrc_path(
search_paths=list(searc... | code_fim | hard | {
"lang": "python",
"repo": "MarkMoretto/spyder-master",
"path": "/spyder/plugins/pylint/tests/test_pylint.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Store test .pylintrc files at the paths and determine the result."""
search_paths = pylintrc_search_paths
# Determine the bad names that should be reported
pylintrc_locations = request.param
bad_names = [ALL_DIR]
for search_path_name, search_path in search_paths.items():
... | code_fim | hard | {
"lang": "python",
"repo": "MarkMoretto/spyder-master",
"path": "/spyder/plugins/pylint/tests/test_pylint.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MarkMoretto/spyder-master path: /spyder/plugins/pylint/tests/test_pylint.py
# -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
# Copyright © 2020- Spyder Project Contributors
#
# Released under the terms of the MIT License
# --------------------... | code_fim | hard | {
"lang": "python",
"repo": "MarkMoretto/spyder-master",
"path": "/spyder/plugins/pylint/tests/test_pylint.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@decorator
def coroutine(f, *a, **kw):
"""This decorator starts the coroutine for us."""
i = f(*a, **kw)
i.next()
return i<|fim_prefix|># repo: mixerlabs/util path: /coroutine.py
"""Coroutine utilities."""
<|fim_middle|>from decorator import decorator
| code_fim | easy | {
"lang": "python",
"repo": "mixerlabs/util",
"path": "/coroutine.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mixerlabs/util path: /coroutine.py
"""Coroutine utilities."""
<|fim_suffix|>@decorator
def coroutine(f, *a, **kw):
"""This decorator starts the coroutine for us."""
i = f(*a, **kw)
i.next()
return i<|fim_middle|>from decorator import decorator
| code_fim | easy | {
"lang": "python",
"repo": "mixerlabs/util",
"path": "/coroutine.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.num_passenger -= 1
close_list = list(self.dict_seats.values())
if passenger_name in close_list:
close_num_seat = int(close_list.index(passenger_name) + 1)
self.dict_seats.update({close_num_seat: "Free"})
else:
print(f'Passenger {pass... | code_fim | hard | {
"lang": "python",
"repo": "dfarfel/QA_Learning_1",
"path": "/Class_object/Class_task_2_2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dfarfel/QA_Learning_1 path: /Class_object/Class_task_2_2.py
import sys
class Bus:
def __init__(self):
self.seats=0
self.dict_seats={}
self.num_passenger = 0
def conctructor(self,seats):
self.seats=seats
for i in range(1,self.seats+1):
s... | code_fim | hard | {
"lang": "python",
"repo": "dfarfel/QA_Learning_1",
"path": "/Class_object/Class_task_2_2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return render_template('index.html', date = date, hour = hour, temp = temp, hum = hum)
if __name__ == '__main__':
app.debug = True
app.run(host = "127.0.0.1", port = 8888)<|fim_prefix|># repo: karotka/dht22 path: /web/index.py
from flask import Flask, request
from flask import render_templa... | code_fim | hard | {
"lang": "python",
"repo": "karotka/dht22",
"path": "/web/index.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> conn = sqlite3.connect("data.db")
c = conn.cursor()
res = c.execute("SELECT STRFTIME('%%H', date), AVG(temp), AVG(hum) FROM data "
"WHERE STRFTIME('%%d.%%m.%%Y', date)='%s' "
"GROUP BY STRFTIME('%%H', date) " % (date, ))
hour = list()
temp = list()
hum = list()
... | code_fim | hard | {
"lang": "python",
"repo": "karotka/dht22",
"path": "/web/index.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: karotka/dht22 path: /web/index.py
from flask import Flask, request
from flask import render_template
import sqlite3
import datetime
app = Flask(__name__)
@app.route('/')
def index(date = ""):
date = request.args.get('date')
<|fim_suffix|> return render_template('index.html', date = dat... | code_fim | hard | {
"lang": "python",
"repo": "karotka/dht22",
"path": "/web/index.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Time ： 时间
High ： 最高价
Low ： 最低价
Volume ： 交易量
Last ： 最新价
"""
Time = fields.String()
High = fields.String()
Low = fields.String()
Volume = fields.String()
Last = fields.String()<|fim_prefix|># repo: 418sec/py-cry... | code_fim | easy | {
"lang": "python",
"repo": "418sec/py-crypto-exchange-api-client",
"path": "/crypto_exchange/models/tick.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 418sec/py-crypto-exchange-api-client path: /crypto_exchange/models/tick.py
# -*- coding: utf-8 -*-
from .base import BaseSchema
from marshmallow import fields
<|fim_suffix|> Time = fields.String()
High = fields.String()
Low = fields.String()
Volume = fields.String()
Last = fie... | code_fim | medium | {
"lang": "python",
"repo": "418sec/py-crypto-exchange-api-client",
"path": "/crypto_exchange/models/tick.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ASO92/Python_knowledge path: /Appdatabase project/datamanagers.py
from abc import ABC, abstractmethod
from datetime import datetime, timedelta, date
import os
import housekeeper
import yfinance as yf
import pandas as pd
class DataManager(ABC):
def __init__(self):
self... | code_fim | hard | {
"lang": "python",
"repo": "ASO92/Python_knowledge",
"path": "/Appdatabase project/datamanagers.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.__myHousekeeper.df_to_csv(self.__dir_list,
self.__upper_stages, file_name, data)
class DataManager_YahooFinance(DataManager):
def __init__(self):
super().__init__()
def download_ticker_data_from_scratch(self, ... | code_fim | hard | {
"lang": "python",
"repo": "ASO92/Python_knowledge",
"path": "/Appdatabase project/datamanagers.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> size = 512
val_trans = [Normalization([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])]
cap = cv2.VideoCapture(0 + cv2.CAP_DSHOW) # 参数为0时调用本地摄像头；url连接调取网络摄像头；文件地址获取本地视频
cap.set(3, 1920) # 设置分辨率
cap.set(4, 1080)
cap.set(cv2.CAP_PROP_FPS, 30)
ret, frame = cap.read()
while (True):
... | code_fim | hard | {
"lang": "python",
"repo": "darknli/CenterFace",
"path": "/demo.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: darknli/CenterFace path: /demo.py
from core.detector import Detector
from utils.augmentations import *
from torchvision.transforms.transforms import Compose
from config.mask_config import *
from config.train_config import model_info
np.random.seed(3)
colors = np.random.randint(128, 256, (100, 3... | code_fim | hard | {
"lang": "python",
"repo": "darknli/CenterFace",
"path": "/demo.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def notify(status):
session = boto3.Session(profile_name='trbryan')
sns = session.client('sns')
response = sns.publish(
TopicArn='arn:aws:sns:us-west-2:509611857908:opensprinkler_et_update',
Message=status,
Subject='Daily OpenSprinkler ET Adjustment',
MessageStructure='string',
)
... | code_fim | hard | {
"lang": "python",
"repo": "toddrbryan/EBSM",
"path": "/get_et_rate.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: toddrbryan/EBSM path: /get_et_rate.py
import os, sys, datetime, pytz, tzlocal, urllib.request, requests, csv, hashlib, json, boto3
uri = 'ftp://ftpcimis.water.ca.gov/pub2/daily/daily107.csv' #Station 107 is Santa Barbara
base_et = 0.15
def main():
try:
tempfile = tempfile_name()
get_... | code_fim | hard | {
"lang": "python",
"repo": "toddrbryan/EBSM",
"path": "/get_et_rate.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sky-bot/Interview_Preparation path: /LeetCode/tree/Range_Sum_of_BST.py
# 938. Range Sum of BST
# Share
# Given the root node of a binary search tree, return the sum of values of all nodes with value between L and R (inclusive).
# The binary search tree is guaranteed to have unique values.
... | code_fim | hard | {
"lang": "python",
"repo": "sky-bot/Interview_Preparation",
"path": "/LeetCode/tree/Range_Sum_of_BST.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># return result
# def cal_sum(self, root, L, R, result):
# if not root:
# return result
# left = self.cal_sum(root.left, L, R, result)
# right = self.cal_sum(root.right, L, R, result)
# if root.val < L or root.val ... | code_fim | medium | {
"lang": "python",
"repo": "sky-bot/Interview_Preparation",
"path": "/LeetCode/tree/Range_Sum_of_BST.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # CONV3 -> BN -> RELU Block applied to X
X = Conv2D(32, (1, 1), strides=(1, 1), name='conv2',kernel_regularizer=regularizers.l2(0.001),padding="same")(X)
X = BatchNormalization(axis=3, name='bn2')(X)
X = Activation('relu')(X)
#X = Dropout(0.5)(X)
# MAXPOOL3
X = MaxPooli... | code_fim | hard | {
"lang": "python",
"repo": "pohwa065/Surface-Defect-Image-Classification-with-Convolutional-Neural-Network",
"path": "/CNN_Keras.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pohwa065/Surface-Defect-Image-Classification-with-Convolutional-Neural-Network path: /CNN_Keras.py
import math
import numpy as np
import h5py
import matplotlib.pyplot as plt
import scipy
from PIL import Image
from scipy import ndimage
import tensorflow as tf
from tensorflow.python.framewo... | code_fim | hard | {
"lang": "python",
"repo": "pohwa065/Surface-Defect-Image-Classification-with-Convolutional-Neural-Network",
"path": "/CNN_Keras.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
correct = [i for i,item in enumerate(predicted_classes) if item == y_test_orig[i]]
wrong = [i for i,item in enumerate(predicted_classes) if item != y_test_orig[i]]
print(predicted_classes)
print(y_test_orig)
print(correct)
print(wrong)
accuracy={}
for i in range(7):
all = np.sum(... | code_fim | hard | {
"lang": "python",
"repo": "pohwa065/Surface-Defect-Image-Classification-with-Convolutional-Neural-Network",
"path": "/CNN_Keras.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BlenderCN-Org/xiuminglib path: /xiuminglib/io/exr.py
from os.path import abspath, dirname, join, basename
import numpy as np
import cv2
import xiuminglib as xm
logger, thisfile = xm.config.create_logger(abspath(__file__))
class EXR():
"""Reads EXR files.
EXR files can be generic or p... | code_fim | hard | {
"lang": "python",
"repo": "BlenderCN-Org/xiuminglib",
"path": "/xiuminglib/io/exr.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
outpath (str): Path to the result .npy file.
vis (bool, optional): Whether to visualize the normal vectors as an image.
Writes
- A .npy file containing an aliased normal map and its alpha map.
- If ``vis``, a .png visualization of anti... | code_fim | hard | {
"lang": "python",
"repo": "BlenderCN-Org/xiuminglib",
"path": "/xiuminglib/io/exr.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> template_common.validate_models(data, _SCHEMA)
v = template_common.flatten_data(data['models'], {})
v['optionsCommand'] = _generate_options(data['models'])
v['solenoidCommand'] = _generate_solenoid(data['models'])
v['beamCommand'] = _generate_beam(data['models'])
v['currentCommand'... | code_fim | hard | {
"lang": "python",
"repo": "yeeon/sirepo",
"path": "/sirepo/template/hellweg.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> solenoid = models.solenoid
if solenoid.sourceDefinition == 'none':
return ''
if solenoid.sourceDefinition == 'values':
#TODO(pjm): latest version also has solenoid.fringeRegion
return 'SOLENOID {} {} {}'.format(
solenoid.fieldStrength, solenoid.length, solen... | code_fim | hard | {
"lang": "python",
"repo": "yeeon/sirepo",
"path": "/sirepo/template/hellweg.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yeeon/sirepo path: /sirepo/template/hellweg.py
beam_info = hellweg_dump_reader.beam_info(_dump_file(run_dir), frame)
points = hellweg_dump_reader.get_points(beam_info, report.reportType)
hist, edges = np.histogram(points, template_common.histogram_bins(report.histogramBins))
return {
... | code_fim | hard | {
"lang": "python",
"repo": "yeeon/sirepo",
"path": "/sirepo/template/hellweg.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AdityaGupta6/e-com path: /ecommerce/shop/models.py
from functools import update_wrapper
from django.db import models
# Create your models here.
class Product(models.Model):
product_id=models.AutoField
product_name=models.CharField(max_length=50)
category=models.CharField(max_length... | code_fim | hard | {
"lang": "python",
"repo": "AdityaGupta6/e-com",
"path": "/ecommerce/shop/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> update_id=models.AutoField(primary_key=True);
order_id=models.IntegerField(default=0)
update_desc=models.CharField(max_length=50000,default="")
timestamp=models.DateField(auto_now_add=True)
def __str__(self):
return self.update_desc[0:7] + "..."<|fim_prefix|># repo: AdityaGupt... | code_fim | hard | {
"lang": "python",
"repo": "AdityaGupta6/e-com",
"path": "/ecommerce/shop/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>ort *
from utils.construct_model_data import construct_model_and_data
from utils.generate_model import ImageModel
from utils.generate_video import video
from utils.load_data import ImageData, split_data
from utils.show_or_save import *
from utils.gradient_strategy.centerconv_generator import CenterConvGen... | code_fim | medium | {
"lang": "python",
"repo": "LiYangSir/Like_Attack",
"path": "/utils/__init__.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LiYangSir/Like_Attack path: /utils/__init__.py
from utils.gradient_strategy.dct_generator import DCTGenerator
from utils.gradient_strategy.random_generator import RandomGenerator
from utils.gradient_str<|fim_suffix|>ort *
from utils.construct_model_data import construct_model_and_data
from utils.... | code_fim | medium | {
"lang": "python",
"repo": "LiYangSir/Like_Attack",
"path": "/utils/__init__.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>m utils.load_data import ImageData, split_data
from utils.show_or_save import *
from utils.gradient_strategy.centerconv_generator import CenterConvGenerator<|fim_prefix|># repo: LiYangSir/Like_Attack path: /utils/__init__.py
from utils.gradient_strategy.dct_generator import DCTGenerator
from utils.gradie... | code_fim | medium | {
"lang": "python",
"repo": "LiYangSir/Like_Attack",
"path": "/utils/__init__.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Om-Gupta-Dev/First-Django path: /FirstProject/CRUD/migrations/0002_auto_20200713_0035.py
# Generated by Django 3.0.8 on 2020-07-12 19:05
from django.db import migrations
<|fim_suffix|>
dependencies = [
('CRUD', '0001_initial'),
]
operations = [
migrations.RenameFiel... | code_fim | easy | {
"lang": "python",
"repo": "Om-Gupta-Dev/First-Django",
"path": "/FirstProject/CRUD/migrations/0002_auto_20200713_0035.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.RenameField(
model_name='employee',
old_name='eAdddress',
new_name='eAddress',
),
]<|fim_prefix|># repo: Om-Gupta-Dev/First-Django path: /FirstProject/CRUD/migrations/0002_auto_20200713_0035.py
# Generated by Django 3.0... | code_fim | medium | {
"lang": "python",
"repo": "Om-Gupta-Dev/First-Django",
"path": "/FirstProject/CRUD/migrations/0002_auto_20200713_0035.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('CRUD', '0001_initial'),
]
operations = [
migrations.RenameField(
model_name='employee',
old_name='eAdddress',
new_name='eAddress',
),
]<|fim_prefix|># repo: Om-Gupta-Dev/First-Django path: /FirstProject/CRUD/m... | code_fim | easy | {
"lang": "python",
"repo": "Om-Gupta-Dev/First-Django",
"path": "/FirstProject/CRUD/migrations/0002_auto_20200713_0035.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> data = struct.unpack(">hhhB", adcs1_data)
self.bdot = tuple(data[0:3])
self.state = data[3]
def __str__(self):
adcs1_str = ("""ADCS1:
State:\t{}
Bdot:\t{}""".format(self.state, self.bdot))
return adcs1_str
class ADCS2(object):
def __init__... | code_fim | hard | {
"lang": "python",
"repo": "aausat/gr-aausat",
"path": "/python/beacon.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aausat/gr-aausat path: /python/beacon.py
from datetime import datetime
import struct
BEACON_LENGTH = 84
EPS_LENGTH = 20
COM_LENGTH = 10
# reverse engineered
ADCS1_LENGTH = 7
ADCS2_LENGTH = 6
AIS_LENGTH = 20
class EPS(object):
def __init__(self, eps_data):
if len(eps_data) != EPS_LE... | code_fim | hard | {
"lang": "python",
"repo": "aausat/gr-aausat",
"path": "/python/beacon.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Reverse engineered classes
class ADCS1(object):
def __init__(self, adcs1_data):
data = struct.unpack(">hhhB", adcs1_data)
self.bdot = tuple(data[0:3])
self.state = data[3]
def __str__(self):
adcs1_str = ("""ADCS1:
State:\t{}
Bdot:\t{}""".format(se... | code_fim | hard | {
"lang": "python",
"repo": "aausat/gr-aausat",
"path": "/python/beacon.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>e("%w"))+1
# print(dd)
# print(nn)
print((datetime.now().date())+(timedelta(days=dd-nn)))<|fim_prefix|># repo: yustshachar/pythonProject1 path: /date_time1/targil9.4.py
from datetime import *
dd=int(input("enter n<|fim_middle|>umber day: "))
nn=int(datetime.now().strftim | code_fim | easy | {
"lang": "python",
"repo": "yustshachar/pythonProject1",
"path": "/date_time1/targil9.4.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yustshachar/pythonProject1 path: /date_time1/targil9.4.py
from datetime import *
dd=int(input("enter n<|fim_suffix|>e("%w"))+1
# print(dd)
# print(nn)
print((datetime.now().date())+(timedelta(days=dd-nn)))<|fim_middle|>umber day: "))
nn=int(datetime.now().strftim | code_fim | easy | {
"lang": "python",
"repo": "yustshachar/pythonProject1",
"path": "/date_time1/targil9.4.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: costrouc/moa-grammar path: /tests/test_yaccer.py
import pytest
from moa.primitives import NDArray, UnaryOperation, BinaryOperation, Function
from moa.yaccer import build_parser
@pytest.mark.parametrize("expression,result", [
("< 1 2 3>", NDArray(shape=(3,), data=[1, 2, 3], constant=False))... | code_fim | hard | {
"lang": "python",
"repo": "costrouc/moa-grammar",
"path": "/tests/test_yaccer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@pytest.mark.parametrize("expression, result", [
('main(){}', Function(arguments=[], statements=[], identifier='main')),
('foo_bar(array A^1 <5>){}', Function(
arguments=[NDArray(shape=(5,), data=None, constant=False, identifier='A')],
statements=[],
identifier='foo_bar')),... | code_fim | hard | {
"lang": "python",
"repo": "costrouc/moa-grammar",
"path": "/tests/test_yaccer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@pytest.mark.parametrize("expression, result", [
('main(){}', Function(arguments=[], statements=[], identifier='main')),
('foo_bar(array A^1 <5>){}', Function(
arguments=[NDArray(shape=(5,), data=None, constant=False, identifier='A')],
statements=[],
identifier='foo_bar'))... | code_fim | hard | {
"lang": "python",
"repo": "costrouc/moa-grammar",
"path": "/tests/test_yaccer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ordering = ['name']
def __str__(self):
return "{} {} {}".format(self.name, self.address, self.city)<|fim_prefix|># repo: jasimdipu/resturent path: /res_info/models.py
from django.db import models
# Create your models here.
class GeneralInformation(models.Model):
<|fim_middle|> ... | code_fim | medium | {
"lang": "python",
"repo": "jasimdipu/resturent",
"path": "/res_info/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jasimdipu/resturent path: /res_info/models.py
from django.db import models
# Create your models here.
class GeneralInformation(models.Model):
name = models.CharField(max_length=100)
address = models.TextField()
city = models.CharField(max_length=20)
<|fim_suffix|> def __str__(s... | code_fim | easy | {
"lang": "python",
"repo": "jasimdipu/resturent",
"path": "/res_info/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> newNumber = input("Δώσε μου τη καταχώρηση σου: ")
if newNumber != 'q' and newNumber != 'r' and newNumber != '0r' :
if newNumber[0] != '0' :
alist.append(float(newNumber))
check = True
else :
numberToList = list(newNumber)... | code_fim | medium | {
"lang": "python",
"repo": "CortoMaltese3/Coursity-IntroductionToProgammingWithPython",
"path": "/Week 3/Askisi_3_2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CortoMaltese3/Coursity-IntroductionToProgammingWithPython path: /Week 3/Askisi_3_2.py
#Άσκηση 3.2: Ουρά δύο άκρων
print("Οδηγίες: Το πρόγραμμα καταχωρει αριθμους σε μια λίστα! Τρέχει σε άπειρο βρόχο, έως ότου πληκτρολογήσεις 'q'. \nΑν θελήσεις να βγάλεις το πρώτο στοιχείο της λίστας, πληκτρολό... | code_fim | hard | {
"lang": "python",
"repo": "CortoMaltese3/Coursity-IntroductionToProgammingWithPython",
"path": "/Week 3/Askisi_3_2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
#παρατηρήσεις :
#1) Στο πρόγραμμα δεν έχει μπει κάποιος έλεγχος για την εισοδο του χρήστη κι έτσι αν πληκτρολογήσει κάτι εκτος από αριθμό ή 'q' / 'r' / '0r' το πρόγραμμα σκάει
#2) Ο έλεγχος με το 'r', '0r' έγινε εκτός της πρώτης εισόδου για να συμπεριλάβουμε τη περίπτωση που η λίστα ειναι κενή. Αν... | code_fim | hard | {
"lang": "python",
"repo": "CortoMaltese3/Coursity-IntroductionToProgammingWithPython",
"path": "/Week 3/Askisi_3_2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># x1 = np.arange(9.0).reshape((3, 3))
# x2 = np.arange(3.0)
# print x1
# print x2
# print np.multiply(x1, x2)<|fim_prefix|># repo: hanchensu/adrd path: /py_bayes/svm/train.py
'''
Created on Nov 1, 2013
@author: hanchensu
'''
from numpy import *
import numpy as np
def smoSimple(dataMatIn, classLabels, C... | code_fim | medium | {
"lang": "python",
"repo": "hanchensu/adrd",
"path": "/py_bayes/svm/train.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hanchensu/adrd path: /py_bayes/svm/train.py
'''
Created on Nov 1, 2013
@author: hanchensu
'''
from numpy import *
import numpy as np
def smoSimple(dataMatIn, classLabels, C, toler, maxIter):
<|fim_suffix|>matrix = mat([[1,2],[3,4],[5,6]])
m,n= shape(matrix)
matA = mat([[1,2],[2,3],[5,6]])
matB... | code_fim | medium | {
"lang": "python",
"repo": "hanchensu/adrd",
"path": "/py_bayes/svm/train.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>matA = mat([[1,2],[2,3],[5,6]])
matB = mat([1,2,3]).transpose()
print matA
print matB
print multiply(matA,matB)
# x1 = np.arange(9.0).reshape((3, 3))
# x2 = np.arange(3.0)
# print x1
# print x2
# print np.multiply(x1, x2)<|fim_prefix|># repo: hanchensu/adrd path: /py_bayes/svm/train.py
'''
Created on ... | code_fim | hard | {
"lang": "python",
"repo": "hanchensu/adrd",
"path": "/py_bayes/svm/train.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Carnivictid/projectrpg path: /quests.py
import world
import items
class Quest:
def __init__(self):
raise NotImplementedError("Do not create raw quest classes")
def __str__(self):
return self.quest_name
def give_reward(self, player):
print("You receive: \n{} gold\n{} exp".format(s... | code_fim | hard | {
"lang": "python",
"repo": "Carnivictid/projectrpg",
"path": "/quests.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>''' #### Working on new quest architecture ####
class QuestObject:
def __init__(self):
self.quest_status = 0
self.complete_status = 0
self.quest_name = "Quest Name"
self.reward_gold = 0
self.reward_exp = 0
self.reward_item = []
self.quest_logs = []
self.player_log = []
self.complete = F... | code_fim | hard | {
"lang": "python",
"repo": "Carnivictid/projectrpg",
"path": "/quests.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __str__(self):
return self.quest_name
def give_reward(self, player):
if self.complete:
print("You tried to get rewards twice! Something broke!")
return
print("You completed the quest: {}".format(self.quest_name))
print("Here is your reward:")
for item in self.reward_item:
print("... | code_fim | hard | {
"lang": "python",
"repo": "Carnivictid/projectrpg",
"path": "/quests.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>her_list"),
path("directory/teachers/<int:pk>/", TeacherDetailAPIView.as_view(), name="teacher_detail"),
]<|fim_prefix|># repo: bartkoz/directory path: /app/urls.py
from django.urls import path, re_path
from app.views import UploaderAPIView, TeacherListAPIView, TeacherDetailAPIView
app_name = "dire... | code_fim | medium | {
"lang": "python",
"repo": "bartkoz/directory",
"path": "/app/urls.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bartkoz/directory path: /app/urls.py
from django.urls import path, re_path
from app.views import UploaderAPIView, TeacherListAPIView, TeacherDetai<|fim_suffix|>her_list"),
path("directory/teachers/<int:pk>/", TeacherDetailAPIView.as_view(), name="teacher_detail"),
]<|fim_middle|>lAPIView
ap... | code_fim | hard | {
"lang": "python",
"repo": "bartkoz/directory",
"path": "/app/urls.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>print(image[0])
print("~~~~~~~~~~~~~~~")
print(image.shape[0])
print("~~~~~~~~~~~~~~~")
print(len(image))<|fim_prefix|># repo: yavaralikhan/proj path: /Mar12D.py
import cv2
print(cv2.__version__)
<|fim_middle|>image = cv2.imread("download.jpeg", 1)
print(image)
print(image.shape)
| code_fim | medium | {
"lang": "python",
"repo": "yavaralikhan/proj",
"path": "/Mar12D.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yavaralikhan/proj path: /Mar12D.py
import cv2
print(cv2.__version__)
<|fim_suffix|>print(image[0])
print("~~~~~~~~~~~~~~~")
print(image.shape[0])
print("~~~~~~~~~~~~~~~")
print(len(image))<|fim_middle|>image = cv2.imread("download.jpeg", 1)
print(image)
print(image.shape)
| code_fim | medium | {
"lang": "python",
"repo": "yavaralikhan/proj",
"path": "/Mar12D.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rajat08/NLP_projects path: /text_processing_basics/code/cs505_a1_rajat08/regex.py
import re
from pathlib import Path
RAW_DUMP_XML = Path("raw_data/Wikipedia.xml")
def count_regexp():
"""Counts the occurences of the regular expressions you will write.
"""
# Here's an exampl... | code_fim | hard | {
"lang": "python",
"repo": "rajat08/NLP_projects",
"path": "/text_processing_basics/code/cs505_a1_rajat08/regex.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> example_matches = [matches[i * (count // 5)] for i in range(5)]
print("Found {} occurences of {}".format(count, name))
print("Here are examples:")
print("\n".join(example_matches))
print("\n")
if __name__ == "__main__":
count_rege... | code_fim | hard | {
"lang": "python",
"repo": "rajat08/NLP_projects",
"path": "/text_processing_basics/code/cs505_a1_rajat08/regex.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def save(self, fileName:str):
filedesc = Path(fileName).with_suffix('.cdc')
self.salveCnnDescriptor(filedesc)
fileName = fileName.encode('utf-8')
return clib.CnnSaveInFile(self.cnn.p, c.create_string_buffer(fileName))
@staticmethod
def load(fileName):
s... | code_fim | hard | {
"lang": "python",
"repo": "Xx220xX/Convolutional-Network-python",
"path": "/CNN_GPU/CNN.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def addReluLayer(self):
clib.CnnAddReluLayer(self.cnn.p)
def addDropOutLayer(self, pontoAtivacao, seed):
clib.CnnAddDropOutLayer(self.cnn.p, pontoAtivacao, seed)
def addFullConnectLayer(self, saida, funcaoAtivacao):
clib.CnnAddFullConnectLayer(self.cnn.p, saida, funca... | code_fim | hard | {
"lang": "python",
"repo": "Xx220xX/Convolutional-Network-python",
"path": "/CNN_GPU/CNN.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
if len(sys.argv) < 2:
print "Usage: {name} nm".format(name=sys.argv[0])
else:
DSN = dbconn2.read_cnf()
DSN['db'] = 'mmm_db' # the database we want to connect to
dbconn2.connect(DSN)
print lookupByNM(sys.argv[1])<|fim_prefix|># ... | code_fim | hard | {
"lang": "python",
"repo": "Wellesley-CS304-SP18/semester-project-foodies",
"path": "/uploadops.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Wellesley-CS304-SP18/semester-project-foodies path: /uploadops.py
# uploadops.py
# CS304-Final Project
# Created by: Megan Shum, Maxine Hood, Mina Hattori
#!/usr/local/bin/python2.7
# This file handles all the SQL calls for the upload page.
import sys
import MySQLdb
import dbconn2
<|fim_suffix|... | code_fim | hard | {
"lang": "python",
"repo": "Wellesley-CS304-SP18/semester-project-foodies",
"path": "/uploadops.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># ================================================================
# This starts the ball rolling, *if* the script is run as a script,
# rather than just being imported.
if __name__ == '__main__':
if len(sys.argv) < 2:
print "Usage: {name} nm".format(name=sys.argv[0])
else:
DSN = ... | code_fim | hard | {
"lang": "python",
"repo": "Wellesley-CS304-SP18/semester-project-foodies",
"path": "/uploadops.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gofur/learnpython path: /ex12.py
umur = raw_input("Berapakah umurmu?")
tinggi = raw<|fim_suffix|>nggumu %r, dan beratmu %r." % (umur, tinggi, berat)<|fim_middle|>_input("Berapakah tinggimu?")
berat = raw_input("Berapa beratmu?")
print "Jadi, umurmu adalah %r, ti | code_fim | medium | {
"lang": "python",
"repo": "gofur/learnpython",
"path": "/ex12.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>nggumu %r, dan beratmu %r." % (umur, tinggi, berat)<|fim_prefix|># repo: gofur/learnpython path: /ex12.py
umur = raw_input("Berapakah umurmu?")
tinggi = raw<|fim_middle|>_input("Berapakah tinggimu?")
berat = raw_input("Berapa beratmu?")
print "Jadi, umurmu adalah %r, ti | code_fim | medium | {
"lang": "python",
"repo": "gofur/learnpython",
"path": "/ex12.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> super(Weapon, self).__init__(name)
self.power = power
@staticmethod
def fromJSON(jsonstr):
obj = Equipment.fromJSON(jsonstr)
return Weapon(obj["name"], obj["power"])
def __str__(self):
return "{}: Power({})".format(self.name, self.power)<|fim_prefix|>#... | code_fim | medium | {
"lang": "python",
"repo": "david3355/PyGame",
"path": "/weapon.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: david3355/PyGame path: /weapon.py
__author__ = 'Jager'
from equipment import Equipment
<|fim_suffix|> return "{}: Power({})".format(self.name, self.power)<|fim_middle|>class Weapon (Equipment):
def __init__(self, name, power):
super(Weapon, self).__init__(name)
self.p... | code_fim | hard | {
"lang": "python",
"repo": "david3355/PyGame",
"path": "/weapon.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: david3355/PyGame path: /weapon.py
__author__ = 'Jager'
from equipment import Equipment
class Weapon (Equipment):
def __init__(self, name, power):
super(Weapon, self).__init__(name)
self.power = power
<|fim_suffix|> return "{}: Power({})".format(self.name, self.power)... | code_fim | medium | {
"lang": "python",
"repo": "david3355/PyGame",
"path": "/weapon.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dannycrief/full-stack-web-dev-couse path: /Web/B/5/5.4/first.py
def h1_wrap(func):
def func_wrapper(param):
<|fim_suffix|> return "Hello, " + name.capitalize()
print(say_hi("Stephan"))<|fim_middle|> return "<h1>"+func(param) + "</h1>"
return func_wrapper
@h1_wrap
def say_hi(... | code_fim | medium | {
"lang": "python",
"repo": "dannycrief/full-stack-web-dev-couse",
"path": "/Web/B/5/5.4/first.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return "Hello, " + name.capitalize()
print(say_hi("Stephan"))<|fim_prefix|># repo: dannycrief/full-stack-web-dev-couse path: /Web/B/5/5.4/first.py
def h1_wrap(func):
def func_wrapper(param):
return "<h1>"+func(param) + "</h1>"
return func_wrapper
<|fim_middle|>
@h1_wrap
def say_hi(... | code_fim | easy | {
"lang": "python",
"repo": "dannycrief/full-stack-web-dev-couse",
"path": "/Web/B/5/5.4/first.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>T_DIR$/test4.py" />
<option name="PARAMETERS" value="" />
<option name="SHOW_COMMAND_LINE" value="false" />
<option name="EMULATE_TERMINAL" value="false" />
<option name="MODULE_MODE" value="false" />
<option name="REDIRECT_INPUT" value="false" />
<option name="INPUT_FI... | code_fim | hard | {
"lang": "python",
"repo": "PenuverWoo/hori_check",
"path": "/venv/Lib/site-packages/matplotlib/backends/backend_qt5agg.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PenuverWoo/hori_check path: /venv/Lib/site-packages/matplotlib/backends/backend_qt5agg.py
onfiguration name="test3" type="PythonConfigurationType" factoryName="Python" temporary="true">
<module name="hori_check" />
<option name="INTERPRETER_OPTIONS" value="" />
<option name="PAR... | code_fim | hard | {
"lang": "python",
"repo": "PenuverWoo/hori_check",
"path": "/venv/Lib/site-packages/matplotlib/backends/backend_qt5agg.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>m itemvalue="Python.test3" />
</list>
</recent_temporary>
</component>
<component name="SvnConfiguration">
<configuration />
</component>
<component name="TaskManager">
<task active="true" id="Default" summary="Default task">
<changelist id="b9acfeb2-5104-4c03-bdda-fe9dd331... | code_fim | hard | {
"lang": "python",
"repo": "PenuverWoo/hori_check",
"path": "/venv/Lib/site-packages/matplotlib/backends/backend_qt5agg.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Возведение в степень. Логика та же, что в делении
def powering(user_list):
pownum=user_list[0]
for item in user_list[1:]:
pownum **= item
return pownum
while True:
operation = input("Enter operation sign, please (*), (/), (+), (-), (^). \nTo quit, please enter 'done' > ")
i... | code_fim | hard | {
"lang": "python",
"repo": "alx42195/PythonOOP",
"path": "/2_class3_task1+2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> multnum=1
for item in user_list:
multnum *= item
return multnum
# Деление. Здесь долго мучился, т.к. нужно первое число оставть и делить его на второе, т.е цикл со второго индекса
# пока не нашел в Интернете запись через slice напр.: for i in collection[1:]
def division(user_list):
... | code_fim | hard | {
"lang": "python",
"repo": "alx42195/PythonOOP",
"path": "/2_class3_task1+2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alx42195/PythonOOP path: /2_class3_task1+2.py
# Задание 1
# Выучите основные стандартные исключения, которые перечислены в данном уроке.
# Задание 2
# Напишите программу-калькулятор, которая поддерживает следующие операции: сложение, вычитание,
# умножение, деление и возведение в степень. Програм... | code_fim | hard | {
"lang": "python",
"repo": "alx42195/PythonOOP",
"path": "/2_class3_task1+2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def package(self):
cmake = CMake(self)
cmake.install()
copy(self, "LICENSE", dst=os.path.join(self.package_folder, "licenses"), src=self.source_folder)
rmdir(self, os.path.join(self.package_folder, "lib", "cmake"))
def package_info(self):
self.cpp_info.libs... | code_fim | hard | {
"lang": "python",
"repo": "conan-io/conan-center-index",
"path": "/recipes/ruy/all/conanfile.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: conan-io/conan-center-index path: /recipes/ruy/all/conanfile.py
import os
from conan import ConanFile
from conan.tools.build import check_min_cppstd
from conan.tools.cmake import CMake, CMakeDeps, CMakeToolchain, cmake_layout
from conan.tools.files import copy, get, replace_in_file, rmdir
from c... | code_fim | hard | {
"lang": "python",
"repo": "conan-io/conan-center-index",
"path": "/recipes/ruy/all/conanfile.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Kawser-nerd/CLCDSA path: /Source Codes/CodeJamData/17/31/19.py
import itertools
import math
def score(stack):
syrup = math.pi * max(x[0] for x in stack)**2
for item in stack:
syrup += 2*math.pi*item[0]*item[1]
return syrup
def ring_score(item):
return 2... | code_fim | medium | {
"lang": "python",
"repo": "Kawser-nerd/CLCDSA",
"path": "/Source Codes/CodeJamData/17/31/19.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> for case in range(1, cases+1):
n, k = map(int, next(infile).split())
pancakes = []
for _ in range(n):
pancakes.append(tuple(map(int, next(infile).split())))
pancakes.sort(key=ring_score, reverse=True)
preliminary... | code_fim | hard | {
"lang": "python",
"repo": "Kawser-nerd/CLCDSA",
"path": "/Source Codes/CodeJamData/17/31/19.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Maxime00/Salamander_controller path: /Lab9/Webots/controllers/pythonController/exercise_9c.py
"""Exercise 9c"""
import time
import numpy as np
import matplotlib.pyplot as plt
from plot_results import plot_2d
from run_simulation import run_simulation
from simulation_parameters import SimulationPa... | code_fim | hard | {
"lang": "python",
"repo": "Maxime00/Salamander_controller",
"path": "/Lab9/Webots/controllers/pythonController/exercise_9c.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
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