text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: zyx124/lahman_baseball_my_sql path: /Flask_REST/aeneid/test_output/test_get_from_hell.txt
import requests
import json
def display_response(rsp):
try:
print("Printing a response.")
print("HTTP status code: ", rsp.status_code)
h = dict(rsp.headers)
print("Respo... | code_fim | medium | {
"lang": "python",
"repo": "zyx124/lahman_baseball_my_sql",
"path": "/Flask_REST/aeneid/test_output/test_get_from_hell.txt",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> url = "http://127.0.0.1:5000/api/lahman2017/people?children=appearances%2Cbatting&people.nameLast=Williams&batting.yearID=1960&appearances.yearID=1960&fields=people.playerID%2Cpeople.nameLast%2Cpeople.nameFirst%2Cbatting.AB%2Cbatting.H%2Cappearances.G_all"
print("\n test 1, ", url)
... | code_fim | medium | {
"lang": "python",
"repo": "zyx124/lahman_baseball_my_sql",
"path": "/Flask_REST/aeneid/test_output/test_get_from_hell.txt",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
url = "http://127.0.0.1:5000/api/lahman2017/people?children=appearances%2Cbatting&people.nameLast=Williams&batting.yearID=1960&appearances.yearID=1960&fields=people.playerID%2Cpeople.nameLast%2Cpeople.nameFirst%2Cbatting.AB%2Cbatting.H%2Cappearances.G_all"
print("\n test 1, ", url)
... | code_fim | medium | {
"lang": "python",
"repo": "zyx124/lahman_baseball_my_sql",
"path": "/Flask_REST/aeneid/test_output/test_get_from_hell.txt",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# In[4]:
print("Take an integer and find whether the number is prime or not")
#input from user
number = int(input("Enter any number: "))
# prime number is always greater than 1
if number > 1:
for i in range(2, number):
if (number % i) == 0:
print(number, "is not a prime numbe... | code_fim | hard | {
"lang": "python",
"repo": "Neha316/Python_assignment_Batch_6-",
"path": "/Python_batch6_Day3.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>print("Take an integer and find whether the number is prime or not")
#input from user
number = int(input("Enter any number: "))
# prime number is always greater than 1
if number > 1:
for i in range(2, number):
if (number % i) == 0:
print(number, "is not a prime number")
... | code_fim | hard | {
"lang": "python",
"repo": "Neha316/Python_assignment_Batch_6-",
"path": "/Python_batch6_Day3.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Neha316/Python_assignment_Batch_6- path: /Python_batch6_Day3.py
#!/usr/bin/env python
# coding: utf-8
# In[2]:
print(" sum of n numbers with help of for loop. ")
n = 10
sum = 0
for num in range(0, n+1, 1):
sum = sum+num
print("Output: SUM of first ", n, "numbers is: ", sum )
<|fim_suffix... | code_fim | hard | {
"lang": "python",
"repo": "Neha316/Python_assignment_Batch_6-",
"path": "/Python_batch6_Day3.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jingshiyue/my_dict_forPython path: /sqlalchemy/create_db.py
# File Name: create_data.py
from sqlalchemy.orm import sessionmaker
from faker import Faker
from db_orm import Base, engine, User, Course
from sqlalchemy import MedaData
session = sessionmaker(engine)()
fake = Faker('zh-cn')
# 创建表
use... | code_fim | medium | {
"lang": "python",
"repo": "jingshiyue/my_dict_forPython",
"path": "/sqlalchemy/create_db.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 执行两个创建实例的函数，session 会话内就有了这些实例
create_users()
create_courses()
# 执行 session 的 commit 方法将全部数据提交到对应的数据表中
session.commit()
if __name__ == '__main__':
# main()
MedaData.tables<|fim_prefix|># repo: jingshiyue/my_dict_forPython path: /sqlalchemy/create_db.py
# File Name: create_d... | code_fim | hard | {
"lang": "python",
"repo": "jingshiyue/my_dict_forPython",
"path": "/sqlalchemy/create_db.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
x_count += 1
if x_count == 51:
x_count = 1
y_count += 1
print("\n\n-----------------")<|fim_prefix|># repo: BridgerJones/TerrariaWikiScraper path: /main.py
import requests
import re
from bs4 import BeautifulSoup
r = requests.get("https://terraria.fandom.com/wiki/Banners_(... | code_fim | medium | {
"lang": "python",
"repo": "BridgerJones/TerrariaWikiScraper",
"path": "/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BridgerJones/TerrariaWikiScraper path: /main.py
import requests
import re
from bs4 import BeautifulSoup
r = requests.get("https://terraria.fandom.com/wiki/Banners_(en<|fim_suffix|>
x_count += 1
if x_count == 51:
x_count = 1
y_count += 1
print("\n\n-----------------... | code_fim | hard | {
"lang": "python",
"repo": "BridgerJones/TerrariaWikiScraper",
"path": "/main.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: markus-weiss/AVGAN path: /AVGAN_1.0/dcgantest.py
from __future__ import absolute_import, division, print_function, unicode_literals
import tensorflow as tf
tf.__version__
import glob
import imageio
import matplotlib.pyplot as plt
import numpy as np
import os
import PIL
from tensorflow.keras impor... | code_fim | hard | {
"lang": "python",
"repo": "markus-weiss/AVGAN",
"path": "/AVGAN_1.0/dcgantest.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
EPOCHS = 50
noise_dim = 100
num_examples_to_generate = 16
# We will reuse this seed overtime (so it's easier)
# to visualize progress in the animated GIF)
seed = tf.random.normal([num_examples_to_generate, noise_dim])
# Notice the use of `tf.function`
# This annotation causes the function to be "compil... | code_fim | hard | {
"lang": "python",
"repo": "markus-weiss/AVGAN",
"path": "/AVGAN_1.0/dcgantest.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> for file in contents:
contents_list.append(file.find(specificData1['"' + specificData2 + '"']))
names_list.append(file.get_text())
print(contents_list)
return contents_list
def main():
website = input("Enter the website you want to download file from: ")
div = input("Enter the div/s... | code_fim | hard | {
"lang": "python",
"repo": "onthir/ULM-Forms-Download-Script",
"path": "/test.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: onthir/ULM-Forms-Download-Script path: /test.py
# website = urlopen("https://webservices.ulm.edu/forms/forms-list")
# data = bs(website, "lxml")
# forms = data.findAll("span", {"class": "file"})
# forms_list = []
# names = []
# for f in forms:
# forms_list.append(f.find("a")["href"])
# na... | code_fim | medium | {
"lang": "python",
"repo": "onthir/ULM-Forms-Download-Script",
"path": "/test.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> source_id = enqueue (*(args + (resolve_internal,))) if args else enqueue (resolve_internal)
self.sources.add (source)
return future
#--------------------------------------------------------------------------#
# Disposable ... | code_fim | hard | {
"lang": "python",
"repo": "aslpavel/pretzel-old",
"path": "/glib/core.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def resolve_internal (*resolve_args):
self.sources.discard (source)
resolve (source, *resolve_args)
return False # remove from event loop
if cancel:
def cancel_cont (result, error):
GLib.source_remove (source_id)
... | code_fim | hard | {
"lang": "python",
"repo": "aslpavel/pretzel-old",
"path": "/glib/core.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aslpavel/pretzel-old path: /glib/core.py
# -*- coding: utf-8 -*-
import time
import errno
from gi.repository import GLib
from ..async import (FutureSourcePair, FutureCanceled, SucceededFuture,
BrokenPipeError, ConnectionError)
__all__ = ('GCore',)
#-------------------------... | code_fim | hard | {
"lang": "python",
"repo": "aslpavel/pretzel-old",
"path": "/glib/core.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if parsed_args.name is not None:
data = utils.filter_list_with_property(data, "name", parsed_args.name)
for vtype in data:
for key, value in vtype.extra_specs.items():
setattr(vtype, key, value)
return (column_headers,
(util... | code_fim | hard | {
"lang": "python",
"repo": "nttcom/eclcli",
"path": "/eclcli/storage/v2/volume_type.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_parser(self, prog_name):
parser = super(ShowVolumeType, self).get_parser(prog_name)
parser.add_argument(
"volume_type",
metavar="VOLUME_TYPE_ID",
help="volume type to display (ID)")
return parser
def take_action(self, parsed_arg... | code_fim | hard | {
"lang": "python",
"repo": "nttcom/eclcli",
"path": "/eclcli/storage/v2/volume_type.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nttcom/eclcli path: /eclcli/storage/v2/volume_type.py
import copy
import six
from eclcli.common import command
from eclcli.common import utils
from eclcli.storage.storageclient import exceptions
class ListVolumeType(command.Lister):
def get_parser(self, prog_name):
parser = super... | code_fim | hard | {
"lang": "python",
"repo": "nttcom/eclcli",
"path": "/eclcli/storage/v2/volume_type.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OnGridSystems/nucypher path: /examples/drm_book_sharing.py
from eth_account.account import Account
from nucypher.characters.lawful import Alice, Bob, Ursula
from nucypher.network.middleware import RestMiddleware
from nucypher.data_sources import DataSource
from umbral.keys import UmbralPublicKey
... | code_fim | hard | {
"lang": "python",
"repo": "OnGridSystems/nucypher",
"path": "/examples/drm_book_sharing.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> policy_end_datetime = maya.now() + datetime.timedelta(days=5)
policy = author.character.grant(first_buyer.character, self.book.label, m=m, n=n,
expiration=policy_end_datetime)
author_pubkey = bytes(self.author.character.stamp)
data_source = Data... | code_fim | hard | {
"lang": "python",
"repo": "OnGridSystems/nucypher",
"path": "/examples/drm_book_sharing.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> nparr = np.frombuffer(raw_data, np.byte)
image_raw = cv2.imdecode(nparr, cv2.IMREAD_ANYCOLOR)
cv2.imshow("test", image_raw)
if cv2.waitKey(1) == ord('q'):
break
cv2.destroyAllWindows()<|fim_prefix|># repo: jungsuyun/socket_streamer path: /url_test.py
import urllib.request
import ... | code_fim | medium | {
"lang": "python",
"repo": "jungsuyun/socket_streamer",
"path": "/url_test.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jungsuyun/socket_streamer path: /url_test.py
import urllib.request
import io
import cv2
import numpy as np
<|fim_suffix|> nparr = np.frombuffer(raw_data, np.byte)
image_raw = cv2.imdecode(nparr, cv2.IMREAD_ANYCOLOR)
cv2.imshow("test", image_raw)
if cv2.waitKey(1) == ord('q'):
... | code_fim | medium | {
"lang": "python",
"repo": "jungsuyun/socket_streamer",
"path": "/url_test.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GerardoLicon/ClassificationAlgorithms path: /Naive.py
# -*- coding: utf-8 -*-
#imports
from math import sqrt, pi, exp
from csv import reader
from random import seed,randrange
"""
Helper functions
"""
#calculate probability
def probability(x,avg,standev):
exponent = exp(-((x-avg)**2 / (2 * ... | code_fim | hard | {
"lang": "python",
"repo": "GerardoLicon/ClassificationAlgorithms",
"path": "/Naive.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>"""
Calculate Class Probabilities
"""
def class_get_prob(stats,instance):
num_rows = sum([stats[label][0][2] for label in stats])
prob_vals = dict()
for class_val, class_stats in stats.items():
prob_vals[class_val] = stats[class_val][0][2]/float(num_rows)
for i in range(len(cla... | code_fim | hard | {
"lang": "python",
"repo": "GerardoLicon/ClassificationAlgorithms",
"path": "/Naive.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: icarus1513/pythonAlgorithm path: /Level2/오픈채팅방.py
def solution(record):
answer = []
arr = dict()
history = []
for i in record:
tmp = i.split(<|fim_suffix|>:
arr[tmp[1]] = tmp[2]
for i in history :
answer.append(arr[i[0]] + i[1])
return answer<|... | code_fim | hard | {
"lang": "python",
"repo": "icarus1513/pythonAlgorithm",
"path": "/Level2/오픈채팅방.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>:
arr[tmp[1]] = tmp[2]
for i in history :
answer.append(arr[i[0]] + i[1])
return answer<|fim_prefix|># repo: icarus1513/pythonAlgorithm path: /Level2/오픈채팅방.py
def solution(record):
answer = []
arr = dict()
history = []
for i in record:
tmp = i.split(<|... | code_fim | hard | {
"lang": "python",
"repo": "icarus1513/pythonAlgorithm",
"path": "/Level2/오픈채팅방.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> mg = None
c1.cd()
c1.Clear()
Nom = GetSumHist(File = ["4fbHTTriggers.root"], Directories = dirs, Hist = histList[0], Col = r.kBlack, Norm = weights, LegendText = "")
Nom.HideOverFlow()
Denom = GetSumHist(File = ["4fbHTTriggers.root"], Directories = dirs, Hist = histList[1], Col = r.kRed, No... | code_fim | hard | {
"lang": "python",
"repo": "brynmathias/RA1TriggerEffs",
"path": "/htSums.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: brynmathias/RA1TriggerEffs path: /htSums.py
#!/usr/bin/env python
# encoding: utf-8
"""
PreScaledTriggers.py
Created by Bryn Mathias on 2011-11-02.
Copyright (c) 2011 Imperial College. All rights reserved.
"""
import sys
import os
from plottingUtils import *
# HLT_HT600_v1Pre_1_HLT_HT300_v9Pre... | code_fim | hard | {
"lang": "python",
"repo": "brynmathias/RA1TriggerEffs",
"path": "/htSums.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> path_pretrained_model = cfg.PATH_DRDSN_PRETRAINED_MODEL
path_feature = cfg.PATH_FEATURE_GOOGLENET
from os import walk
f = []
for (dirpath, dirnames, filenames) in walk(path_feature):
f.extend(filenames)
break
for i in f:
features = np.load(os.path.join(path... | code_fim | hard | {
"lang": "python",
"repo": "tiendv/videosummarizationframework",
"path": "/source/src/baseline/VASNet/VASNet_frame_scoring.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tiendv/videosummarizationframework path: /source/src/baseline/VASNet/VASNet_frame_scoring.py
import os,sys,glob
sys.path.append("../../../../libs/VASNet/")
from VASNet_frame_scoring_lib import *
sys.path.append("../../../config")
from config import *
<|fim_suffix|> path_pretrained_model = cf... | code_fim | hard | {
"lang": "python",
"repo": "tiendv/videosummarizationframework",
"path": "/source/src/baseline/VASNet/VASNet_frame_scoring.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: binary13/Python_Koans path: /python3/koans/triangle.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Triangle Project Code.
# Triangle analyzes the lengths of the sides of a triangle
# (represented by a, b and c) and returns the type of triangle.
#
# It returns:
# 'equilateral' if all side... | code_fim | medium | {
"lang": "python",
"repo": "binary13/Python_Koans",
"path": "/python3/koans/triangle.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if unique_sides in range(1,4) and sides_positive() and sides_reach():
return type.get(unique_sides)
else:
raise TriangleError
# Error class used in part 2. No need to change this code.
class TriangleError(Exception):
pass<|fim_prefix|># repo: binary13/Python_Koans path: /py... | code_fim | hard | {
"lang": "python",
"repo": "binary13/Python_Koans",
"path": "/python3/koans/triangle.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zilahir/elteik-wf-grade path: /tests/resources/varlist.py
import types
from robot.libraries.BuiltIn import BuiltIn
def GetAllVariableBySuffix (endswith):
all_vars = BuiltIn().get_variables()
result = {}
for var_name, var in all_vars.items():
#print var_name
if var_nam... | code_fim | medium | {
"lang": "python",
"repo": "zilahir/elteik-wf-grade",
"path": "/tests/resources/varlist.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def CountFinalPoints ():
all_vars = BuiltIn().get_variables()
result = 0
result = int(result)
for var_name, var in all_vars.items():
#print var_name
if var_name.endswith("Points}"):
result += int(var)
#print var
return result<|fim_prefix|># repo:... | code_fim | hard | {
"lang": "python",
"repo": "zilahir/elteik-wf-grade",
"path": "/tests/resources/varlist.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> all_vars = BuiltIn().get_variables()
result = 0
result = int(result)
for var_name, var in all_vars.items():
#print var_name
if var_name.endswith("Points}"):
result += int(var)
#print var
return result<|fim_prefix|># repo: zilahir/elteik-wf-grade ... | code_fim | hard | {
"lang": "python",
"repo": "zilahir/elteik-wf-grade",
"path": "/tests/resources/varlist.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yunse2633s/blogsSj path: /python_demo/201811/helloworld/helloworld/urls.py
"""helloworld URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
https://docs.djangoproject.com/zh-hans/2.1/topi... | code_fim | medium | {
"lang": "python",
"repo": "yunse2633s/blogsSj",
"path": "/python_demo/201811/helloworld/helloworld/urls.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>from . import view
# 如何链接其他文件模块下的路径呢
#
urlpatterns = [
# path('hello/', view.hello),
# path('hello/<int:year>/', view.hello), # hello()中要有对应的参数
# path('ifor/', view.ifor),
path('admin/', admin.site.urls),
# path('blog/', blog.views.goodbye),
# path('', include('blog.urls.py', name... | code_fim | medium | {
"lang": "python",
"repo": "yunse2633s/blogsSj",
"path": "/python_demo/201811/helloworld/helloworld/urls.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>" %vat)
print("Total : %.2f Baht" %(moeny+vat+service))
main()<|fim_prefix|># repo: boomNDS/prepro_play path: /w1/Restaurant.py
"""Restaurant"""
def main():
"""Restaurant"""
moeny = int(input())
service = moeny*0.1
vat = moeny*0.07
print(<|fim_middle|>"Service Charge : %.2f Baht" ... | code_fim | medium | {
"lang": "python",
"repo": "boomNDS/prepro_play",
"path": "/w1/Restaurant.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: boomNDS/prepro_play path: /w1/Restaurant.py
"""Restaurant"""
def main():
"""Restaurant"""
moeny = int<|fim_suffix|>"Service Charge : %.2f Baht" %service)
print("VAT : %.2f Baht" %vat)
print("Total : %.2f Baht" %(moeny+vat+service))
main()<|fim_middle|>(input())
service = moeny... | code_fim | medium | {
"lang": "python",
"repo": "boomNDS/prepro_play",
"path": "/w1/Restaurant.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Omar-V2/Collision-Avoidance path: /game_loop.py
import pygame
from evolution import Darwin
from Sensor import Robot, obstacleArray
# Game Settings
pygame.init()
background_colour = (0, 0, 0)
(width, height) = (1000, 600)
target_location = (800, 300)
screen = pygame.display.set_mode((width, heig... | code_fim | medium | {
"lang": "python",
"repo": "Omar-V2/Collision-Avoidance",
"path": "/game_loop.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == '__main__':
running = True
while running:
for event in pygame.event.get():
if event.type == pygame.QUIT:
running = False
screen.fill(background_colour)
pygame.draw.rect(screen, (255, 255, 255), (10, 10, width - 20, height - 20), 1)
pygame.draw.circle(screen, (255, 10, 0),... | code_fim | hard | {
"lang": "python",
"repo": "Omar-V2/Collision-Avoidance",
"path": "/game_loop.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RARYates/bolt-experiments path: /Boltdir/site-modules/sample/tasks/generate.py
#!/usr/bin/env python
import os, sys, json
sys.path.append(os.path.join(os.path.dirname(__file__), '..', '..', 'python_task_helper', 'files'))
from task_helper import TaskHelper
hosts_file = open("/etc/hosts", "r").r... | code_fim | easy | {
"lang": "python",
"repo": "RARYates/bolt-experiments",
"path": "/Boltdir/site-modules/sample/tasks/generate.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
Generate().run()<|fim_prefix|># repo: RARYates/bolt-experiments path: /Boltdir/site-modules/sample/tasks/generate.py
#!/usr/bin/env python
import os, sys, json
sys.path.append(os.path.join(os.path.dirname(__file__), '..', '..', 'python_task_helper', 'files'))
from task_help... | code_fim | hard | {
"lang": "python",
"repo": "RARYates/bolt-experiments",
"path": "/Boltdir/site-modules/sample/tasks/generate.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def task(self, args):
return {'result': output}
if __name__ == '__main__':
Generate().run()<|fim_prefix|># repo: RARYates/bolt-experiments path: /Boltdir/site-modules/sample/tasks/generate.py
#!/usr/bin/env python
import os, sys, json
sys.path.append(os.path.join(os.path.dirname(__file__... | code_fim | easy | {
"lang": "python",
"repo": "RARYates/bolt-experiments",
"path": "/Boltdir/site-modules/sample/tasks/generate.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if disciplina_id and doc_discente_id:
doc_discente = self.pool.get("ud.monitoria.documentos.discente").browse(cr, uid, doc_discente_id, context)
doc_discente_id = doc_discente_id if doc_discente.disciplina_id.id == disciplina_id else False
return {
... | code_fim | hard | {
"lang": "python",
"repo": "ntiufalara/universidade-digital",
"path": "/openerp/addons/ud_monitoria/wizards/alteracao_bolsas_wizard.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ntiufalara/universidade-digital path: /openerp/addons/ud_monitoria/wizards/alteracao_bolsas_wizard.py
doc.discente_id.id)]}}
return {"value": {"dados_bancarios_id": False},
"domain": {"dados_bancarios_id": [("id", "=", False)]}}
def onchange_banco(self, cr, uid, ids,... | code_fim | hard | {
"lang": "python",
"repo": "ntiufalara/universidade-digital",
"path": "/openerp/addons/ud_monitoria/wizards/alteracao_bolsas_wizard.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for rows in _res_iter:
def process_rows(_rows):
for row in _rows:
for column in columns:
if column in row:
del row[column]
yield row
yield process_rows(rows)
spew(datapackage, process_resources(res... | code_fim | hard | {
"lang": "python",
"repo": "Vanuan/datapackage-pipelines",
"path": "/datapackage_pipelines/lib/delete-columns.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def process_resources(_res_iter):
for rows in _res_iter:
def process_rows(_rows):
for row in _rows:
for column in columns:
if column in row:
del row[column]
yield row
yield process_rows(rows)
spew... | code_fim | hard | {
"lang": "python",
"repo": "Vanuan/datapackage-pipelines",
"path": "/datapackage_pipelines/lib/delete-columns.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Vanuan/datapackage-pipelines path: /datapackage_pipelines/lib/delete-columns.py
from datapackage_pipelines.wrapper import ingest, spew
params, datapackage, res_iter = ingest()
<|fim_suffix|> for row in _rows:
for column in columns:
if column in row... | code_fim | hard | {
"lang": "python",
"repo": "Vanuan/datapackage-pipelines",
"path": "/datapackage_pipelines/lib/delete-columns.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> bases=(models.Model,),
),
migrations.AddField(
model_name='fichatecnica',
name='metrado1',
field=models.ForeignKey(related_name='ficha_tecnica', to='metrados.Metrado1'),
preserve_default=True,
),
migrations.AddField(
... | code_fim | hard | {
"lang": "python",
"repo": "sirlo21/sagipnp",
"path": "/metrados/migrations/0001_initial.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sirlo21/sagipnp path: /metrados/migrations/0001_initial.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('levantamiento', '0001_initial'),
]
operations = [
... | code_fim | hard | {
"lang": "python",
"repo": "sirlo21/sagipnp",
"path": "/metrados/migrations/0001_initial.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>transactions.to_csv('./results/transactions_500_newthreshold.csv')
totalOrders.to_csv('./results/totalOrders_500_newthreshold.csv')
np.save('./results/stockPool_500_newthreshold.npy',TstockPool)
np.save('./results/hurstPool_500_newthreshold.npy',ThurstPool)
conf = open('./results/config_500_newthresholded... | code_fim | hard | {
"lang": "python",
"repo": "braedyn-au/StockMarketCascades",
"path": "/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: braedyn-au/StockMarketCascades path: /main.py
print("RUNNING ON CPU")
from library import config, utils, broker_funcs, portfolio
import numpy as np
import pandas as pd
# import matplotlib.pyplot as plt
from fbm.fbmlib import fbm
import time
import pickle
assert config.changePrice == True
print(... | code_fim | hard | {
"lang": "python",
"repo": "braedyn-au/StockMarketCascades",
"path": "/main.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
orders a rectangle in the order top-left, top-right,
bottom-right, bottom-left
"""
new = np.zeros((4, 2), dtype="int64")
s = pts.sum(axis=1)
new[0] = pts[np.argmin(s)]
new[2] = pts[np.argmax(s)]
diff = np.diff(pts, axis=1)
new[1] = pts[np.argmin(diff)]
new[... | code_fim | hard | {
"lang": "python",
"repo": "lucianbc/ReceiptScan",
"path": "/docs/code/tesseractOcr.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ancylq/core_py_programming_test path: /2.socket/tcpServerSS.py
#!/usr/bin/env python
# coding:utf-8
import time
from SocketServer import (TCPServer as TCP,
StreamRequestHandler as SRH)
<|fim_suffix|>class MyRequestHandler(SRH):
def handle(self):
print '...co... | code_fim | medium | {
"lang": "python",
"repo": "ancylq/core_py_programming_test",
"path": "/2.socket/tcpServerSS.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class MyRequestHandler(SRH):
def handle(self):
print '...connected from :', self.client_address
self.wfile.write('[%s] %s' % (time.ctime(),
self.rfile.readline()))
tcpServ = TCP(ADDR, MyRequestHandler)
print 'waiting for connection...'
tc... | code_fim | medium | {
"lang": "python",
"repo": "ancylq/core_py_programming_test",
"path": "/2.socket/tcpServerSS.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kynax/AdventOfCode path: /2019/day06/part1.py
import sys
class Obj:
def __init__(self, name):
self.name = name
self.down = []
def add_child(self, obj):
self.down.append(obj)
def prnt(self, prev):
if not self.down:
print(prev +... | code_fim | hard | {
"lang": "python",
"repo": "kynax/AdventOfCode",
"path": "/2019/day06/part1.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return d
COM = Obj('COM')
orbits = {}
orbits['COM'] = COM
effects = [x.strip().split(')') for x in list(sys.stdin)]
for c,o in effects:
obj = None
if o in orbits:
obj = orbits[o]
else:
obj = Obj(o)
orbits[o] = obj
if c in orbits:
... | code_fim | hard | {
"lang": "python",
"repo": "kynax/AdventOfCode",
"path": "/2019/day06/part1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def distance(self, start):
d = start
if not self.down:
print(self.name, start)
for n in self.down:
d += n.distance(start + 1)
return d
COM = Obj('COM')
orbits = {}
orbits['COM'] = COM
eff... | code_fim | hard | {
"lang": "python",
"repo": "kynax/AdventOfCode",
"path": "/2019/day06/part1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
If calculation fails due to time limits, we simply resubmit it.
"""
from aiida.common.exceptions import NotExistent
# if previous calculation failed for the same reason, do not restart
try:
prev_calculation_remote = calculation.base.links.ge... | code_fim | hard | {
"lang": "python",
"repo": "JuDFTteam/aiida-fleur",
"path": "/aiida_fleur/workflows/base_fleur.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JuDFTteam/aiida-fleur path: /aiida_fleur/workflows/base_fleur.py
########################################
# Copyright (c), Forschungszentrum Jülich GmbH, IAS-1/PGI-1, Germany. #
# All rights reserved. #
# This file is part of the AiiD... | code_fim | hard | {
"lang": "python",
"repo": "JuDFTteam/aiida-fleur",
"path": "/aiida_fleur/workflows/base_fleur.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JuDFTteam/aiida-fleur path: /aiida_fleur/workflows/base_fleur.py
restarts"""
_workflowversion = '0.2.1'
_process_class = FleurCalculation
@classmethod
def define(cls, spec):
super().define(spec)
spec.expose_inputs(FleurCalculation, exclude=('metadata.options',))
... | code_fim | hard | {
"lang": "python",
"repo": "JuDFTteam/aiida-fleur",
"path": "/aiida_fleur/workflows/base_fleur.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: UsamaAbdali/movie_star_network path: /network.py
import csv
import json
import re
import itertools
import pandas as pd
import networkx as nx
import matplotlib.pyplot as plt
from networkx.algorithms import community
import snap
import numpy
# setting up data structures to map actor IDs to objects... | code_fim | hard | {
"lang": "python",
"repo": "UsamaAbdali/movie_star_network",
"path": "/network.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def link_pred():
splPG = dict(nx.all_pairs_shortest_path_length(PG, cutoff=2))
friends_PG = list()
for x in splPG.keys():
for y in splPG[x].keys():
if splPG[x][y] == 2:
l = list()
l.append(x)
l.append(y)
frien... | code_fim | hard | {
"lang": "python",
"repo": "UsamaAbdali/movie_star_network",
"path": "/network.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yskang/AlgorithmPractice path: /baekjoon/python/kth_number_11004.py
# Title: K번째 수
# Link: https://www.acmicpc.net/problem/11004
import sys
sys.setrecursionlimit(10 ** 6)
def read_list_int():
return list(map(int, sys.stdin.readline().strip().split(' ')))
<|fim_suffix|>def get_... | code_fim | hard | {
"lang": "python",
"repo": "yskang/AlgorithmPractice",
"path": "/baekjoon/python/kth_number_11004.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def partition(nums, left, right, pivot_index):
pivot_value = nums[pivot_index]
nums[pivot_index], nums[right] = nums[right], nums[pivot_index]
store_index = left
for i in range(left, right):
if nums[i] < pivot_value:
nums[store_index], nums[i] = nums[i], nums[st... | code_fim | hard | {
"lang": "python",
"repo": "yskang/AlgorithmPractice",
"path": "/baekjoon/python/kth_number_11004.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if d_iter_times % 5 == 0:
g_iter_times += 1
g_update_times += 1
# begin training generator
with autograd.record():
fake_img = generator(nosise)
with autograd.predict_mode():
out = discriminator(fake... | code_fim | hard | {
"lang": "python",
"repo": "troyliu0105/Anime-GAN",
"path": "/train_dcgan.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # use validation set or not
if should_use_val:
g_val_loss, d_val_loss = validation(generator, discriminator, val_loader)
history.update([g_train_loss, g_val_loss, d_train_loss, d_val_loss])
logger.info("Generator[train: {}, val: {}]".... | code_fim | hard | {
"lang": "python",
"repo": "troyliu0105/Anime-GAN",
"path": "/train_dcgan.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: troyliu0105/Anime-GAN path: /train_dcgan.py
# %% import libs
import os
import argparse
import logging as logger
import mxnet as mx
import tqdm
from mxnet import autograd
from mxnet import gluon
from gluoncv.utils import makedirs
import datasets as gan_datasets
from utils import vis, get_cpus, Tr... | code_fim | hard | {
"lang": "python",
"repo": "troyliu0105/Anime-GAN",
"path": "/train_dcgan.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: roeischuster/sublinear-project path: /wsim.py
import pickle
import time
DECAY = 0.95
DEPTH = 2
def init_cache(g):
'''
Initialize simrank cache for graph g
'''
g.cache = {}
def return_and_cache(g, element, val):
'''
Code (and function name) is pretty self explainatory here
'''
g.cache[el... | code_fim | hard | {
"lang": "python",
"repo": "roeischuster/sublinear-project",
"path": "/wsim.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def read_neighbours(g):
'''
Read neighbours of all nodes from disk into memory.
Neighbours are assumed to be stored under the "neighbours" directory.
'''
i = 0
for auth_id, auth in g.authors.iteritems():
auth.neighbours = pickle.load(open("neighbourhood/%s"%auth_id, 'rb'))
if (i % 500) == 0:
... | code_fim | hard | {
"lang": "python",
"repo": "roeischuster/sublinear-project",
"path": "/wsim.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Carlosterre/Aeropython path: /Clase_002b-Sintaxis_basica_II_librerias-Ejercicio.py
# 1.- Crear una grafica que muestre la desviacion tipica de los datos cada dia para todos los pacientes
# 2.- Crear una grafica que muestre a la vez la inflamacion maxima, media y minima para cada dia
<|fim_suf... | code_fim | hard | {
"lang": "python",
"repo": "Carlosterre/Aeropython",
"path": "/Clase_002b-Sintaxis_basica_II_librerias-Ejercicio.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>import matplotlib.pyplot as plt
plt.plot(data.std(axis=0)) # Desviacion tipica por dia
plt.show()
plt.plot(data.max(axis=0)) # Inflamacion maxima, media y minima para cada dia
plt.plot(data.mean... | code_fim | medium | {
"lang": "python",
"repo": "Carlosterre/Aeropython",
"path": "/Clase_002b-Sintaxis_basica_II_librerias-Ejercicio.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>t (cosinus_imaginary)
print (sinus_real)
print (sinus_imag)<|fim_prefix|># repo: kacpermisiek/JSP2019 path: /lista1/zadanie10.py
import math
z = 1j
cosinus_real = math.cos(z.real)
cosinus_imaginary = math.cos(z.imag)
sinus_real = math.sin(z.rea<|fim_middle|>l)
sinus_imag = math.sin(z.imag)
print (cos... | code_fim | easy | {
"lang": "python",
"repo": "kacpermisiek/JSP2019",
"path": "/lista1/zadanie10.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kacpermisiek/JSP2019 path: /lista1/zadanie10.py
import math
z = 1j
cosinus_real = math.cos(z.real)
cosinus_imaginary = math.cos(z.imag)
sinus_real = math.sin(z.rea<|fim_suffix|>t (cosinus_imaginary)
print (sinus_real)
print (sinus_imag)<|fim_middle|>l)
sinus_imag = math.sin(z.imag)
print (cos... | code_fim | easy | {
"lang": "python",
"repo": "kacpermisiek/JSP2019",
"path": "/lista1/zadanie10.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Sanity check this sync result. We shouldn't be joined to the room.
self.assertEqual(eve_sync_after_ban.joined, [])
# Eve tries to join the room. We monkey patch the internal logic which selects
# the prev_events used when creating the join event, such that the ban does n... | code_fim | hard | {
"lang": "python",
"repo": "matrix-org/synapse",
"path": "/tests/handlers/test_sync.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: matrix-org/synapse path: /tests/handlers/test_sync.py
# Copyright 2018 New Vector Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/lice... | code_fim | hard | {
"lang": "python",
"repo": "matrix-org/synapse",
"path": "/tests/handlers/test_sync.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> print(event_list)
return event_list
def tasklist(name):
pjts = TDIAPI.state['projects']
items = TDIAPI.state['items']
labels = TDIAPI.state['labels']
sects = TDIAPI.state['sections']
inbox_list = []
doing_list = []
review_list = []
any_list = []
for projects... | code_fim | hard | {
"lang": "python",
"repo": "inamuu/aws_lambda_tools",
"path": "/todoist_notify/lambda.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: inamuu/aws_lambda_tools path: /todoist_notify/lambda.py
# coding: utf-8
import datetime
import json
import requests
import os
import re
import sys
from todoist.api import TodoistAPI
#SLACK_CHANNEL = os.environ['SLACK_CHANNEL']
#SLACK_POSTURL = os.environ['SLACK_POSTURL']
TDIAPI = TodoistAPI(os.... | code_fim | hard | {
"lang": "python",
"repo": "inamuu/aws_lambda_tools",
"path": "/todoist_notify/lambda.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> while True:
try:
ret, frame2 = cap.read()
if flip:
frame2 = cv2.flip(frame2, 1)
if resize:
frame2 = cv2.resize(frame2, (width, height), interpolation=cv2.INTER_CUBIC)
cv2.imshow('frame1', frame2)
except Exc... | code_fim | hard | {
"lang": "python",
"repo": "alisure-ml/python-video-image-gif",
"path": "/opencv/optical_flow/optical_flow_pyrlk.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> while True:
try:
ret, frame2 = cap.read()
frame2 = cv2.flip(frame2, 1)
except Exception:
break
pass
next = cv2.cvtColor(frame2, cv2.COLOR_BGR2GRAY)
flow = cv2.calcOpticalFlowFarneback(prvs, next, None, 0.5, 3, 15, 3, 5, 1... | code_fim | hard | {
"lang": "python",
"repo": "alisure-ml/python-video-image-gif",
"path": "/opencv/optical_flow/optical_flow_pyrlk.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alisure-ml/python-video-image-gif path: /opencv/optical_flow/optical_flow_pyrlk.py
import numpy as np
import cv2
def optical_flow_from_video():
cap = cv2.VideoCapture("/home/ubuntu/data1.5TB/异常dataset/Avenue_dataset/training_videos/01.avi")
# 设置 ShiTomasi 角点检测的参数
feature_params = d... | code_fim | hard | {
"lang": "python",
"repo": "alisure-ml/python-video-image-gif",
"path": "/opencv/optical_flow/optical_flow_pyrlk.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_params(self, deep=True):
"""
return params
"""
args, _, _, _ = inspect.getargspec(super(SIL, self).__init__)
args.pop(0)
return {key: getattr(self, key, None) for key in args}
def _inst_to_bag_preds(inst_preds, bags):
return np.array([np.ma... | code_fim | hard | {
"lang": "python",
"repo": "ngonthier/Icono_Art_Analysis",
"path": "/Classif_Paintings/milsvm/sil.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ngonthier/Icono_Art_Analysis path: /Classif_Paintings/milsvm/sil.py
"""
Implements Single Instance Learning SVM
From https://github.com/garydoranjr/misvm/blob/master/misvm/sil.py
Modified by Nicolas
"""
from __future__ import print_function, division
import numpy as np
import inspect
from sklearn... | code_fim | hard | {
"lang": "python",
"repo": "ngonthier/Icono_Art_Analysis",
"path": "/Classif_Paintings/milsvm/sil.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>t = threading.Thread(target=work)
# Daemon 설정
#t.setDaemon(True)
t.daemon = True # 혹인 이렇게도 가능
t.start()
print 'main thread finished'<|fim_prefix|># repo: DaMacho/data-science-school-5th path: /day18 concurrency/thread1.py
# -*- coding: utf-8 -*-
import threading
import time
<|fim_middle|>def work():
... | code_fim | medium | {
"lang": "python",
"repo": "DaMacho/data-science-school-5th",
"path": "/day18 concurrency/thread1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DaMacho/data-science-school-5th path: /day18 concurrency/thread1.py
# -*- coding: utf-8 -*-
import threading
import time
<|fim_suffix|> i = 0
while i < 10:
print 'I am working..'
time.sleep(0.5)
i += 1
t = threading.Thread(target=work)
# Daemon 설정
#t.setDaemon(Tr... | code_fim | easy | {
"lang": "python",
"repo": "DaMacho/data-science-school-5th",
"path": "/day18 concurrency/thread1.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: langphil/iss-notifier path: /iss.py
import time
import datetime
from pushover import init, Client
from scraper import *
from config import *
# Get the current time
timeNow = time.strftime("%a %b %d, %I:%M %p").lstrip("0").replace(" 0", " ")
# Initialise Pushover for notifications
client = Clien... | code_fim | medium | {
"lang": "python",
"repo": "langphil/iss-notifier",
"path": "/iss.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Loop for times of ISS passes and compare to current time
def issCheck():
for i in column.keys():
for x in column[i]:
if i == 'Date':
issNow = x
if issNow == timeNow:
client.send_message("ISS is over London: " + x, title="ISS")
... | code_fim | medium | {
"lang": "python",
"repo": "langphil/iss-notifier",
"path": "/iss.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Initialise Pushover for notifications
client = Client(user_key, api_token=api_token)
# Loop for times of ISS passes and compare to current time
def issCheck():
for i in column.keys():
for x in column[i]:
if i == 'Date':
issNow = x
if issNow == ti... | code_fim | medium | {
"lang": "python",
"repo": "langphil/iss-notifier",
"path": "/iss.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Send request and wait for completion
self.response.result()
# Write output image
disp_mat_scaled = (self.disp_mat.view(np.ndarray)*(256.0 / 48.0) / (16.0)).astype(np.uint8)
self.m_runEndTime = int(round(time.time() * 1000000))
return disp_mat_scaled;
def run(self, left_img, right_img):
... | code_fim | hard | {
"lang": "python",
"repo": "inaccel/Vitis_Libraries",
"path": "/quantitative_finance/L3/python/inaccel/vitis/vision/_vision_stereobm.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.response = inaccel.submit(req)
def wait(self):
# Send request and wait for completion
self.response.result()
# Write output image
disp_mat_scaled = (self.disp_mat.view(np.ndarray)*(256.0 / 48.0) / (16.0)).astype(np.uint8)
self.m_runEndTime = int(round(time.time() * 1000000))
return ... | code_fim | hard | {
"lang": "python",
"repo": "inaccel/Vitis_Libraries",
"path": "/quantitative_finance/L3/python/inaccel/vitis/vision/_vision_stereobm.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: inaccel/Vitis_Libraries path: /quantitative_finance/L3/python/inaccel/vitis/vision/_vision_stereobm.py
import inaccel.coral as inaccel
import numpy as np
import time
class StereoBM:
def __init__(self, cameraMA_l=None, cameraMA_r=None, distC_l=None, distC_r=None, irA_l=None, irA_r=None, bm_state... | code_fim | hard | {
"lang": "python",
"repo": "inaccel/Vitis_Libraries",
"path": "/quantitative_finance/L3/python/inaccel/vitis/vision/_vision_stereobm.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>H = [1,5,10,11,12,20,40]
for h in H:
file = open("Out\\out-h"+str(h)+".txt", "r")
line = file.readlines()[-1]
file.close()
line = line.split(",")
loss = line[1]
acc_tr = line[2]
acc_va = line[3]
table.write(str(h)+" & "+loss+" & "+acc_tr+" & "+acc_va+" \\\\\n")
table.write("\\hline\n")
table.writ... | code_fim | medium | {
"lang": "python",
"repo": "dagrawa2/cosc528_machine_learning",
"path": "/project4-mlp/table1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dagrawa2/cosc528_machine_learning path: /project4-mlp/table1.py
from __future__ import division
import numpy as np
table = open("Tables\\table1.txt", "w")
<|fim_suffix|>H = [1,5,10,11,12,20,40]
for h in H:
file = open("Out\\out-h"+str(h)+".txt", "r")
line = file.readlines()[-1]
file.close()
... | code_fim | medium | {
"lang": "python",
"repo": "dagrawa2/cosc528_machine_learning",
"path": "/project4-mlp/table1.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>table.write("\\hline\n")
table.write("\\end{tabular}")
table.close()<|fim_prefix|># repo: dagrawa2/cosc528_machine_learning path: /project4-mlp/table1.py
from __future__ import division
import numpy as np
table = open("Tables\\table1.txt", "w")
<|fim_middle|>table.write("\\begin{tabular}{|c|c|c|c|} \\... | code_fim | hard | {
"lang": "python",
"repo": "dagrawa2/cosc528_machine_learning",
"path": "/project4-mlp/table1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mikefraanje/Programming-Blok1 path: /les2/pe2_2.py
cijferICOR = float(input('Wat is je cijfer voor ICOR?: '))
x = 30
beloningICOR = cijferICOR * x
beloning = 'beloning €'
print(beloning, beloningICOR)
<|fim_suffix|>totalevergoeding = beloningICOR + beloningPROG + beloningCSN
print('uw to... | code_fim | hard | {
"lang": "python",
"repo": "mikefraanje/Programming-Blok1",
"path": "/les2/pe2_2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>gemiddeld_cijfer = (cijferICOR + cijferPROG + cijferCSN) / 3
print('mijn cijfers gemiddeld is een', gemiddeld_cijfer, 'en dat levert een beloning op van: €', totalevergoeding)<|fim_prefix|># repo: mikefraanje/Programming-Blok1 path: /les2/pe2_2.py
cijferICOR = float(input('Wat is je cijfer voor ICOR?: '... | code_fim | hard | {
"lang": "python",
"repo": "mikefraanje/Programming-Blok1",
"path": "/les2/pe2_2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>key = ''
while key != ord('q'):
key = stdscr.getch()
stdscr.refresh()
if key == curses.KEY_UP:
forward = forward + 1;
if forward >= 40:
forward = 40
elif forward < -40:
forward = -40
stdscr.addstr(2, 20, "Up ")
stdscr.addstr(2, 25, '%.2f' % forward)
stdscr.addstr(5, 20, " ")
e... | code_fim | medium | {
"lang": "python",
"repo": "JmfanBU/F1tenth_BU",
"path": "/racecar_simulator/racecar_control/scripts/keyboard_teleop.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
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