text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: gic91/2DGP_project path: /2D_GAME/game_source/menu_state.py
import random
import json
import os
from pico2d import *
import game_framework
import game_world
import menu_world
import game_state
from Start_menu import Menu
name = "MenuState"
boy = None
Start_menu = None
menu_time =None
def ent... | code_fim | hard | {
"lang": "python",
"repo": "gic91/2DGP_project",
"path": "/2D_GAME/game_source/menu_state.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def update():
for game_object in menu_world.all_objects():
game_object.update()
def draw():
clear_canvas()
for game_object in menu_world.all_objects():
game_object.draw()
update_canvas()<|fim_prefix|># repo: gic91/2DGP_project path: /2D_GAME/game_source/menu_state.py
im... | code_fim | medium | {
"lang": "python",
"repo": "gic91/2DGP_project",
"path": "/2D_GAME/game_source/menu_state.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> @pytest.mark.xfail(raises=pandas.errors.ParserError)
def test_tns_watcher(self):
log("Connecting to DB")
mongo = Mongo(
host=config["database"]["host"],
port=config["database"]["port"],
replica_set=config["database"]["replica_set"],
u... | code_fim | medium | {
"lang": "python",
"repo": "dekishalay/kowalski",
"path": "/tests/test_tns_watcher.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> log("Connecting to DB")
mongo = Mongo(
host=config["database"]["host"],
port=config["database"]["port"],
replica_set=config["database"]["replica_set"],
username=config["database"]["username"],
password=config["database"]["password... | code_fim | medium | {
"lang": "python",
"repo": "dekishalay/kowalski",
"path": "/tests/test_tns_watcher.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dekishalay/kowalski path: /tests/test_tns_watcher.py
import pandas
import pytest
from tns_watcher import get_tns
from utils import load_config, log, Mongo
""" load config and secrets """
config = load_config(config_file="config.yaml")["kowalski"]
<|fim_suffix|> log("Connecting to DB")... | code_fim | medium | {
"lang": "python",
"repo": "dekishalay/kowalski",
"path": "/tests/test_tns_watcher.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> app = Flask(__name__)
@app.route('/')
def hello_world():
return 'Hello, World!'
@app.route('/process_game', methods=['POST'])
def process_game():
move_sequence = json.loads(request.data)['moves']
return jsonify(run_game(move_sequence))
return app
if __n... | code_fim | easy | {
"lang": "python",
"repo": "josefdaly/python-chess-api",
"path": "/app.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return app
if __name__ == '__main__':
app = create_app()
app.run(port=5000)<|fim_prefix|># repo: josefdaly/python-chess-api path: /app.py
import json
from flask import Flask, request, jsonify
from lib.chess_utils import run_game
def create_app():
app = Flask(__name__)
@app.rout... | code_fim | medium | {
"lang": "python",
"repo": "josefdaly/python-chess-api",
"path": "/app.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: josefdaly/python-chess-api path: /app.py
import json
from flask import Flask, request, jsonify
<|fim_suffix|>def create_app():
app = Flask(__name__)
@app.route('/')
def hello_world():
return 'Hello, World!'
@app.route('/process_game', methods=['POST'])
def process_... | code_fim | easy | {
"lang": "python",
"repo": "josefdaly/python-chess-api",
"path": "/app.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: leschzinerlab/SPIDER path: /Gold_analysis/alignHuge_ALL.py
#!/usr/bin/env python
import os
import shutil
import glob
import re
import subprocess
<|fim_suffix|> cmd="alignhuge %s_filt.mrc %s %s" %(ef[:-4],en,efAli)
subprocess.Popen(cmd,shell=True).wait()
cmd='rm %s_filt.mrc %s' %(ef[:-4],efAl... | code_fim | hard | {
"lang": "python",
"repo": "leschzinerlab/SPIDER",
"path": "/Gold_analysis/alignHuge_ALL.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> cmd='rm %s_filt.mrc %s' %(ef[:-4],efAli)
subprocess.Popen(cmd,shell=True).wait()<|fim_prefix|># repo: leschzinerlab/SPIDER path: /Gold_analysis/alignHuge_ALL.py
#!/usr/bin/env python
import os
import shutil
import glob
import re
import subprocess
<|fim_middle|>list = glob.glob("*en.mrc")
for en in l... | code_fim | hard | {
"lang": "python",
"repo": "leschzinerlab/SPIDER",
"path": "/Gold_analysis/alignHuge_ALL.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> cmd='proc2d %s %s_filt.mrc apix=1.501 lp=20' %(ef,ef[:-4])
subprocess.Popen(cmd,shell=True).wait()
cmd="alignhuge %s_filt.mrc %s %s" %(ef[:-4],en,efAli)
subprocess.Popen(cmd,shell=True).wait()
cmd='rm %s_filt.mrc %s' %(ef[:-4],efAli)
subprocess.Popen(cmd,shell=True).wait()<|fim_prefix|># repo: les... | code_fim | medium | {
"lang": "python",
"repo": "leschzinerlab/SPIDER",
"path": "/Gold_analysis/alignHuge_ALL.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: karimmamer/WheatRustClassification path: /utils.py
import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim import lr_scheduler
import numpy as np
import torchvision
from torchvision import datasets, models, transforms
#import matplotlib.pyplot as plt
import time
import os
... | code_fim | hard | {
"lang": "python",
"repo": "karimmamer/WheatRustClassification",
"path": "/utils.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> imgs = []
labels = []
ids = []
for fname in os.listdir(p):
#read image
img = Image.open(os.path.join(p, fname))
#rotate image to original view
try:
if not('DMWVNR' in fname):
exif=dict((ExifTags.TAGS[k], v) for k, v in img._getexi... | code_fim | hard | {
"lang": "python",
"repo": "karimmamer/WheatRustClassification",
"path": "/utils.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> v = self.cli("show version", cached=True)
for platform, ver in [
("ESCOM L", self.rx_ver_escom_l),
("ESCOM", self.rx_ver),
("ESCOM", self.rx_ver1),
]:
match = ver.search(v)
if match:
break
else:
... | code_fim | hard | {
"lang": "python",
"repo": "nocproject/noc",
"path": "/sa/profiles/Iskratel/ESCOM/get_version.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kneufeld/chatroom path: /txchat/txchat/client.py
from __future__ import print_function
import os
from twisted.internet.task import react
from twisted.internet.defer import Deferred, inlineCallbacks
from twisted.internet.protocol import Factory
from twisted.internet.protocol import Protocol
from... | code_fim | medium | {
"lang": "python",
"repo": "kneufeld/chatroom",
"path": "/txchat/txchat/client.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.protocol.sendMessage(self.nick, line)
def __init__(self, nick, proto):
self.nick = nick
self.protocol = proto
def connectionLost(self, reason):
self.protocol.transport.loseConnection()<|fim_prefix|># repo: kneufeld/chatroom path: /txchat/txchat/client... | code_fim | hard | {
"lang": "python",
"repo": "kneufeld/chatroom",
"path": "/txchat/txchat/client.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def add_setup(setup=None, teardown=None):
"""decorate test functions to add additional setup/teardown contexts"""
def decorate_function(test):
def wrapper(self):
if setup:
setup(self)
test(self)
if teardown:
teardown(self)... | code_fim | hard | {
"lang": "python",
"repo": "sshyran/gpdb",
"path": "/gpMgmt/bin/gppylib/test/unit/gp_unittest.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sshyran/gpdb path: /gpMgmt/bin/gppylib/test/unit/gp_unittest.py
import unittest2 as unittest
class GpTestCase(unittest.TestCase):
def __init__(self, methodName='runTest'):
super(GpTestCase, self).__init__(methodName)
self.patches = []
self.mock_objs = []
def app... | code_fim | medium | {
"lang": "python",
"repo": "sshyran/gpdb",
"path": "/gpMgmt/bin/gppylib/test/unit/gp_unittest.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """decorate test functions to add additional setup/teardown contexts"""
def decorate_function(test):
def wrapper(self):
if setup:
setup(self)
test(self)
if teardown:
teardown(self)
return wrapper
return decorat... | code_fim | medium | {
"lang": "python",
"repo": "sshyran/gpdb",
"path": "/gpMgmt/bin/gppylib/test/unit/gp_unittest.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # These were found manually
sta = 184000
end = sta + 1000
times = np.arange(end-sta, dtype = 'float')
times /= record.fs
# Extract the annotations for that fragment
where = (sta < ann.annsamp) & (ann.annsamp < end)
samples = ann.annsamp[where] - sta
print samples
... | code_fim | hard | {
"lang": "python",
"repo": "prerna-khanna/ECG",
"path": "/utils/plotters.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: prerna-khanna/ECG path: /utils/plotters.py
import wfdb as wf
import numpy as np
from scipy import signal as ss
from datasets import mitdb as dm
from matplotlib import pyplot as plt
def show_path(path):
""" As a plot """
# Read in the data
record = wf.rdsamp(path)
annotation = wf.... | code_fim | hard | {
"lang": "python",
"repo": "prerna-khanna/ECG",
"path": "/utils/plotters.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> cha = record.p_signals[:, chid]
# These were found manually
sta = 184000
end = sta + 1000
times = np.arange(end-sta, dtype = 'float')
times /= record.fs
# Extract the annotations for that fragment
where = (sta < ann.annsamp) & (ann.annsamp < end)
samples = ann.annsamp... | code_fim | hard | {
"lang": "python",
"repo": "prerna-khanna/ECG",
"path": "/utils/plotters.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>user1.describe_user()
user1.greet_user()
user2.describe_user()
user2.greet_user()
user3.describe_user()
user3.greet_user()<|fim_prefix|># repo: ntexplorer/PythonPractice path: /PythonCrashCoursePrac/Chapter9_Prac/9-3.py
class User():
def __init__(self, first, last, gender, age):
self.first_na... | code_fim | hard | {
"lang": "python",
"repo": "ntexplorer/PythonPractice",
"path": "/PythonCrashCoursePrac/Chapter9_Prac/9-3.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ntexplorer/PythonPractice path: /PythonCrashCoursePrac/Chapter9_Prac/9-3.py
class User():
def __init__(self, first, last, gender, age):
self.first_name = first
self.last_name = last
self.gender = gender
self.age = age
self.full_name = self.first_name + ... | code_fim | medium | {
"lang": "python",
"repo": "ntexplorer/PythonPractice",
"path": "/PythonCrashCoursePrac/Chapter9_Prac/9-3.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> #def __str__(self):
# return self.title<|fim_prefix|># repo: earu-devops/CP_Project path: /Django/UserRegProject1/UserRegApp1/models.py
#This models.py is under UserRegApp1 folder
from django.db import models
<|fim_middle|># Create your models here.
class UserRegModel(models.Model):
user... | code_fim | hard | {
"lang": "python",
"repo": "earu-devops/CP_Project",
"path": "/Django/UserRegProject1/UserRegApp1/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> username = models.CharField(max_length=15)
emailid = models.EmailField()
password1= models.CharField(max_length=6)
password2= models.CharField(max_length=6)
mailsent = models.CharField(max_length=1)
#def __str__(self):
# return self.title<|fim_prefix|># repo: earu-devops/C... | code_fim | medium | {
"lang": "python",
"repo": "earu-devops/CP_Project",
"path": "/Django/UserRegProject1/UserRegApp1/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: earu-devops/CP_Project path: /Django/UserRegProject1/UserRegApp1/models.py
#This models.py is under UserRegApp1 folder
from django.db import models
# Create your models here.
class UserRegModel(models.Model):
<|fim_suffix|> #def __str__(self):
# return self.title<|fim_middle|> user... | code_fim | hard | {
"lang": "python",
"repo": "earu-devops/CP_Project",
"path": "/Django/UserRegProject1/UserRegApp1/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zzgzjun/mylab path: /item/views.py
from django.shortcuts import render, redirect
# Create your views here.
from item.models import Item, Unit
def str_to_bool(s):
return True if s.lower() == 'true' else False
def item(request):
if not request.session.get('is_login', None):
re... | code_fim | hard | {
"lang": "python",
"repo": "zzgzjun/mylab",
"path": "/item/views.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if request.method == 'GET':
nid = request.GET.get('nid')
unit_info = Unit.objects.get(id=nid)
return render(request, 'item/edit_unit.html', locals())
else:
nid = request.GET.get('nid')
unit_index = request.POST.get('unit_index')
unit_name = request.P... | code_fim | hard | {
"lang": "python",
"repo": "zzgzjun/mylab",
"path": "/item/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>2017/commits')
text = r.json()
#asking the code to print out the commit message for all rows in the text
for row in text:
print row['commit']['message']<|fim_prefix|># repo: ablumenzak/secu2002_-ABLUM40- path: /Lab07/github.py
#Task 4 - writing a code that prints all the commit message from reposito... | code_fim | medium | {
"lang": "python",
"repo": "ablumenzak/secu2002_-ABLUM40-",
"path": "/Lab07/github.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ablumenzak/secu2002_-ABLUM40- path: /Lab07/github.py
#Task 4 - writing a code that prints all the commit message from repository
import requests
r = requests.get('https://api.github.com/repos/smeiklej/secu2002_<|fim_suffix|>ge for all rows in the text
for row in text:
print row['commit']['mes... | code_fim | medium | {
"lang": "python",
"repo": "ablumenzak/secu2002_-ABLUM40-",
"path": "/Lab07/github.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# gets text data from files with only maxlen words from each file. Gets whole file if maxlen is None
def get_labelled_data_from_directories(data_dir, maxlen=None):
texts = [] # list of text samples
labels_index = {} # dictionary mapping label name to numeric id
labels = [] # list of labe... | code_fim | hard | {
"lang": "python",
"repo": "javedqadruddin/summarizer",
"path": "/NLP_utils.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: javedqadruddin/summarizer path: /NLP_utils.py
from keras.preprocessing.text import text_to_word_sequence
import os
# keras NLP tools filter out certain tokens by default
# this function replaces the default with a smaller set of things to filter out
def filter_not_punctuation():
return '"#$... | code_fim | medium | {
"lang": "python",
"repo": "javedqadruddin/summarizer",
"path": "/NLP_utils.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> string_sequence = text_to_word_sequence(text, filters=filter_not_punctuation())
truncated_string = ''
for word in string_sequence[:n]:
truncated_string = truncated_string + word + ' '
return truncated_string
# gets text data from files with only maxlen words from each file. Get... | code_fim | medium | {
"lang": "python",
"repo": "javedqadruddin/summarizer",
"path": "/NLP_utils.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>admin.site.register(Client, ClientAdmin)<|fim_prefix|># repo: da-durand/facturier path: /web/admin.py
from django.contrib import admin
from .models import Client, Adress
# Register your models here.
class ClientInline(admin.StackedInline):
model = Adress
can_delete = False
extra = 1
<|fim_... | code_fim | medium | {
"lang": "python",
"repo": "da-durand/facturier",
"path": "/web/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: da-durand/facturier path: /web/admin.py
from django.contrib import admin
from .models import Client, Adress
# Register your models here.
class ClientInline(admin.StackedInline):
model = Adress
can_delete = False
extra = 1
class ClientAdmin(admin.ModelAdmin):
<|fim_suffix|>admin.sit... | code_fim | easy | {
"lang": "python",
"repo": "da-durand/facturier",
"path": "/web/admin.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: twoandahalf2/PythonBasics2 path: /TESTS_TEMP/classess/zadacha2.py
import math
class Point:
def __init__(self, x:int, y:int):
self.x = x
self.y = y
def create_point(self):
point = [self.x, self.y]
return point
@staticmethod
def calculate_distance... | code_fim | medium | {
"lang": "python",
"repo": "twoandahalf2/PythonBasics2",
"path": "/TESTS_TEMP/classess/zadacha2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
n = int(input())
total_points = []
while n > 0:
n -= 1
a, b = [int(x) for x in input().split()]
point = Point(a, b).create_point()
total_points.append(point)
segment_list = []
for index_1 in range(len(total_points)):
for index_2 in range(len(total_points)):
if index_1 != i... | code_fim | hard | {
"lang": "python",
"repo": "twoandahalf2/PythonBasics2",
"path": "/TESTS_TEMP/classess/zadacha2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> side_a = abs(point_1.x - point_2.x)
side_b = abs(point_1.y - point_2.y)
side_c = math.sqrt(side_a**2 + side_b**2)
return side_c
n = int(input())
total_points = []
while n > 0:
n -= 1
a, b = [int(x) for x in input().split()]
point = Point(a, b).create_point()... | code_fim | medium | {
"lang": "python",
"repo": "twoandahalf2/PythonBasics2",
"path": "/TESTS_TEMP/classess/zadacha2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ximepss2/web-scraping-challenge path: /FlaskMisiontoMars/mongo.py
import pymongo
import pandas as pd
from scrape_mars import scrape
import json
# Create connection variable
conn = 'mongodb://localhost:27017'
# Pass connection to the pymongo instance.
client = pymongo.MongoClient(conn)
# Conn... | code_fim | hard | {
"lang": "python",
"repo": "Ximepss2/web-scraping-challenge",
"path": "/FlaskMisiontoMars/mongo.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Facts
url = "https://space-facts.com/mars/"
info = "Facts"
# Drops collection if available to remove duplicates
db.facts.drop()
#Insert info
#print(scrape(info,url))
df = pd.DataFrame(scrape(info,url))
df_json = df.to_json()
df_json_list = json.loads(df_json).values()
db.facts.insert(df_json_list)
#Hemi... | code_fim | hard | {
"lang": "python",
"repo": "Ximepss2/web-scraping-challenge",
"path": "/FlaskMisiontoMars/mongo.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Hemispheres
url = "https://astrogeology.usgs.gov/search/results?q=hemisphere+enhanced&k1=target&v1=Mars"
info = "Hemis"
# Drops collection if available to remove duplicates
db.hemis.drop()
#Insert info
#print(scrape(info,url))
db.hemis.insert_many(scrape(info,url))<|fim_prefix|># repo: Ximepss2/web-scrap... | code_fim | hard | {
"lang": "python",
"repo": "Ximepss2/web-scraping-challenge",
"path": "/FlaskMisiontoMars/mongo.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
from __future__ import absolute_import
import unittest
import io_stockx
from io_stockx.models.portfolio_id_del_response_portfolio_item_product_media import PortfolioIdDelResponsePortfolioItemProductMedia # noqa: E501
from io_stockx.rest import ApiException
class TestPortfolioIdDelResponsePortfolioIt... | code_fim | medium | {
"lang": "python",
"repo": "stvncrn/stockx_api_ref",
"path": "/sdk/python/lib/build/lib/test/test_portfolio_id_del_response_portfolio_item_product_media.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: stvncrn/stockx_api_ref path: /sdk/python/lib/build/lib/test/test_portfolio_id_del_response_portfolio_item_product_media.py
# coding: utf-8
"""
StockX API
PRERELEASE API - Subject to change before release. Provides access to StockX's public services, allowing end users to query for produ... | code_fim | medium | {
"lang": "python",
"repo": "stvncrn/stockx_api_ref",
"path": "/sdk/python/lib/build/lib/test/test_portfolio_id_del_response_portfolio_item_product_media.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == '__main__':
main()<|fim_prefix|># repo: GaloMago/URI_Answers_py path: /uri_1143.py
def main():
#entrada
N = int(input())
num = 1
<|fim_middle|> #processamento
for i in range (N+1):
if i > 0:
#saida
print("%d %d %d" %(i, i**2, ... | code_fim | medium | {
"lang": "python",
"repo": "GaloMago/URI_Answers_py",
"path": "/uri_1143.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GaloMago/URI_Answers_py path: /uri_1143.py
def main():
#entrada
N = int(input())
num = 1
<|fim_suffix|>if __name__ == '__main__':
main()<|fim_middle|> #processamento
for i in range (N+1):
if i > 0:
#saida
print("%d %d %d" %(i, i**2, i*... | code_fim | medium | {
"lang": "python",
"repo": "GaloMago/URI_Answers_py",
"path": "/uri_1143.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kvraman1/QUESTION-BANK path: /Qbank/migrations/0001_initial.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dep... | code_fim | hard | {
"lang": "python",
"repo": "kvraman1/QUESTION-BANK",
"path": "/Qbank/migrations/0001_initial.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>rations.CreateModel(
name='QuestionBank',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('CourseTitle', models.CharField(max_length=50)),
('CourseCode', models.CharField(ma... | code_fim | hard | {
"lang": "python",
"repo": "kvraman1/QUESTION-BANK",
"path": "/Qbank/migrations/0001_initial.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 从JSON字符串读取图片数据
dataUrl = self.get_body_argument("image")
Orientation = self.get_body_argument("orientation") # 得到图片方向以便旋转处理
content = base64.b64decode(dataUrl)
'''保存到图片target.jpg'''
file = open('./static/images/target.jpg', 'wb')
file.write(... | code_fim | hard | {
"lang": "python",
"repo": "halloayu/inception_v3_flowerIdentify",
"path": "/handlers/fi_handlers.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: halloayu/inception_v3_flowerIdentify path: /handlers/fi_handlers.py
# -*- coding: utf-8 -*-
# @File :fi_handlers.py
# @Author:ZengYu
# @Date :2019/5/16
# @software:PyCharm
import tornado.web
import tornado.websocket
from PIL import Image
import base64
from model.flower_identify impor... | code_fim | hard | {
"lang": "python",
"repo": "halloayu/inception_v3_flowerIdentify",
"path": "/handlers/fi_handlers.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> output = '#' + OPT_APPNAME
environment.Program( output, objs, duplicate=0)
#################################
platform_build = 'build' + os.path.sep + sys.platform
#Set up a building environment
env = Environment()
env.BuildSharedLib = BuildSharedLib
env.CreateAppFromObjs = CreateAppFromObjs
#Check ... | code_fim | hard | {
"lang": "python",
"repo": "jacmoe/OgreOpcode",
"path": "/SConstruct",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jacmoe/OgreOpcode path: /SConstruct
##############################
# SConscript for OgreOpcode #
##############################
#SCons scripts maintained by:
# Van Aarde "nanocell" Krynauw.
#TODO:
# - Add commandline options to specify include dirs, defines, compiler defs, libraries, etc.
# - ... | code_fim | hard | {
"lang": "python",
"repo": "jacmoe/OgreOpcode",
"path": "/SConstruct",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> contact = models.ForeignKey(Contact)
name = models.CharField(max_length=50)
def __unicode__(self):
return self.name<|fim_prefix|># repo: winner-sheng/HelloWorld path: /TestModel/models.py
# -*- coding: utf-8 -*-
from django.db import models
# Create your models here.
class Test(... | code_fim | hard | {
"lang": "python",
"repo": "winner-sheng/HelloWorld",
"path": "/TestModel/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: winner-sheng/HelloWorld path: /TestModel/models.py
# -*- coding: utf-8 -*-
from django.db import models
# Create your models here.
class Test(models.Model):
name = models.CharField(max_length=20)
def __unicode__(self):
return self.name
<|fim_suffix|>
class Tag(models.Model... | code_fim | hard | {
"lang": "python",
"repo": "winner-sheng/HelloWorld",
"path": "/TestModel/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Contact(models.Model):
GENDER_TYPES = (
('M', u'男'),
('F', u'女'),
('X', u'不告诉你'),
)
name = models.CharField(u'姓名', max_length=20)
age = models.IntegerField(u'年龄', default=0)
gender = models.CharField(u'性别', max_length=1, null=False, blank=False, choices=GE... | code_fim | medium | {
"lang": "python",
"repo": "winner-sheng/HelloWorld",
"path": "/TestModel/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> file = open(args.json_file,'r')
res = []
a = 0
for line in file.readlines():
dic = json.loads(line)
img_url = dic["url"]
t = {"url": img_url, "true":0, "simialr_uri":[]}
if not "error" in dic.keys():
a += 1
#im_num = img_url.split('.... | code_fim | hard | {
"lang": "python",
"repo": "walkoncross/retrieval_for_image",
"path": "/top5_correct.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: walkoncross/retrieval_for_image path: /top5_correct.py
# -*- coding: utf-8 -*-
import json
import argparse
def parse_args():
"""
Parse input arguments.
:return:
"""
parser = argparse.ArgumentParser(description='以图搜图API测试')
parser.add_argument('--ak', dest='access_key', he... | code_fim | hard | {
"lang": "python",
"repo": "walkoncross/retrieval_for_image",
"path": "/top5_correct.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jiaxiaochu/spider path: /06-About_json/1-qq_music.py
# !/Library/Frameworks/Python.framework/Versions/3.7/bin/python3
# -*- coding:utf-8 -*-
# @Author : Jiazhixiang
import requests
from bs4 import BeautifulSoup
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/535.1... | code_fim | hard | {
"lang": "python",
"repo": "jiaxiaochu/spider",
"path": "/06-About_json/1-qq_music.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>nt(type(json_response))
list_music = json_response['data']['song']['list']
for music in list_music:
print(music['name'])
print("所属专辑：" + music['album']['name'])
print("歌曲时长：" + str(music['interval']) + "秒")
# https: // y.qq.com / n / yqq / song / 001qvvgF38HVc4.html
print("歌曲播放链接：https... | code_fim | hard | {
"lang": "python",
"repo": "jiaxiaochu/spider",
"path": "/06-About_json/1-qq_music.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>at=json&inCharset=utf8&outCharset=utf-8¬ice=0&platform=yqq.json&needNewCode=0"
response = requests.get(url=client_url, headers=headers)
print(response.status_code)
print(response.apparent_encoding)
response.encoding = response.apparent_encoding
# response = response.text
# print(type(response))
json_re... | code_fim | hard | {
"lang": "python",
"repo": "jiaxiaochu/spider",
"path": "/06-About_json/1-qq_music.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: WarlingZhang/pytools path: /test_mysql.py
import pymysql
conn = None
cur = None
try:
conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='ro<|fim_suffix|>nt
# row_number = cur.rownumber
for r in cur.fetchall():
print("userId is %s, userName is %s" % r)
ex... | code_fim | medium | {
"lang": "python",
"repo": "WarlingZhang/pytools",
"path": "/test_mysql.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>nt
# row_number = cur.rownumber
for r in cur.fetchall():
print("userId is %s, userName is %s" % r)
except Exception as e:
print(e)
finally:
if cur is not None:
cur.close()
if conn is not None:
conn.close()<|fim_prefix|># repo: WarlingZhang/pytools path: /test_m... | code_fim | medium | {
"lang": "python",
"repo": "WarlingZhang/pytools",
"path": "/test_mysql.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ahopkins/sanic-jwt path: /tests/test_decorators.py
from sanic import Sanic
from sanic.blueprints import Blueprint
from sanic.response import html, json, text
from sanic_jwt import Initialize
from sanic_jwt.decorators import inject_user, protected, scoped
def test_forgotten_initialized_on_prote... | code_fim | hard | {
"lang": "python",
"repo": "ahopkins/sanic-jwt",
"path": "/tests/test_decorators.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert response.json.get("me").get("user_id") == 1
_, response = sanic_app.test_client.get(
"/protected/user",
headers={"Authorization": "Bearer {}".format(access_token)},
)
assert response.status == 200
assert response.json.get("user_id") == 1
def test_inject_user_o... | code_fim | hard | {
"lang": "python",
"repo": "ahopkins/sanic-jwt",
"path": "/tests/test_decorators.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @sanic_app.route("/protected/user")
@sanic_jwt.inject_user()
@sanic_jwt.protected()
def my_protected_user(request, user):
return json({"user_id": user.user_id})
access_token = response.json.get(
sanic_jwt.config.access_token_name(), None
)
_, response = sanic_... | code_fim | hard | {
"lang": "python",
"repo": "ahopkins/sanic-jwt",
"path": "/tests/test_decorators.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>row(['Vadachennai',2018])
csv_writer.writerow(['Naran',2007])<|fim_prefix|># repo: jisshub/learning_python3 path: /CSV MODULE - reader and writer/writer.py
from csv import writer
with open("movies.csv","w") as file:
csv_writer=writer(file)
csv_writer.writerow(['Name','Year'])
<|fim_middle|> ... | code_fim | medium | {
"lang": "python",
"repo": "jisshub/learning_python3",
"path": "/CSV MODULE - reader and writer/writer.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jisshub/learning_python3 path: /CSV MODULE - reader and writer/writer.py
from csv import writer
with open("movies.csv","w") as file:
<|fim_suffix|> csv_writer.writerow(['Ratchasan',2018])
csv_writer.writerow(['Vadachennai',2018])
csv_writer.writerow(['Naran',2007])<|fim_middle|>cs... | code_fim | medium | {
"lang": "python",
"repo": "jisshub/learning_python3",
"path": "/CSV MODULE - reader and writer/writer.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: actuallyachraf/superstark path: /superstark/merkle.py
"""
Merkle: Implementation of Merkle Trees over Blake2
"""
from typing import List, Any
from hashlib import blake2b
class Merkle:
"""
We consider the merkle tree as a commitment protocol implementing
the interface:
* commit_(... | code_fim | hard | {
"lang": "python",
"repo": "actuallyachraf/superstark",
"path": "/superstark/merkle.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert len(leafs) & (len(leafs) - 1) == 0, "List must be of a power two length"
assert 0 <= index and index < len(leafs)
if len(leafs) == 2:
return [leafs[1 - index]]
elif index < (len(leafs) / 2):
return Merkle.open_(index, leafs[: (len(leafs) // 2)... | code_fim | hard | {
"lang": "python",
"repo": "actuallyachraf/superstark",
"path": "/superstark/merkle.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tazexpress24/AdvanceData path: /hawaii_api.py
import datetime as dt
import numpy as np
import pandas as pd
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func
from flask import Flask, jsonify, render_tem... | code_fim | hard | {
"lang": "python",
"repo": "tazexpress24/AdvanceData",
"path": "/hawaii_api.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>@app.route('/api/v1.0/tobs')
def tobs():
"""Return a json list of Temperature Observations (tobs) for the previous year"""
prev_year = dt.date.today() - dt.timedelta(days=365)
# date_string = prev_year.strftime("%Y-%m-%d")
tobsquery = session.query(Measurement.tobs).filter(Measurement.date >= prev_y... | code_fim | hard | {
"lang": "python",
"repo": "tazexpress24/AdvanceData",
"path": "/hawaii_api.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ambani07/aparaApi path: /api/models.py
from django.db import models
from django.contrib.auth.models import User
from django.core.validators import MaxValueValidator, MinValueValidator
class Person(models.Model):
<|fim_suffix|> sum = 0
ratings = Rating.objects.filter(product=self)
... | code_fim | hard | {
"lang": "python",
"repo": "Ambani07/aparaApi",
"path": "/api/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Rating(models.Model):
product = models.ForeignKey(Product, on_delete=models.CASCADE)
user = models.ForeignKey(User, on_delete=models.CASCADE)
stars = models.IntegerField(validators=[MinValueValidator(1), MaxValueValidator(5)])
class Meta:
unique_together = (('user', 'product... | code_fim | hard | {
"lang": "python",
"repo": "Ambani07/aparaApi",
"path": "/api/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> sum = 0
ratings = Rating.objects.filter(product=self)
for rating in ratings:
sum += rating.stars
if len(ratings) > 0:
return sum / len(ratings)
else:
return 0
class Rating(models.Model):
product = models.ForeignKey(Product, o... | code_fim | hard | {
"lang": "python",
"repo": "Ambani07/aparaApi",
"path": "/api/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NMTCC/puppet-elws path: /site/profiles/files/CentOS/config/7/config/forge/modules/overlays
#!/usr/bin/env python
import remctl
import json
import datetime
import time,random
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description = "List all TCC Forge overlay... | code_fim | medium | {
"lang": "python",
"repo": "NMTCC/puppet-elws",
"path": "/site/profiles/files/CentOS/config/7/config/forge/modules/overlays",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>list','{"group":"tcc","distro":"F19"}')
c = remctl.remctl(host = 'update.nmt.edu', command=command)
r = json.loads(c.stdout)
for overlay in r:
print overlay["name"]<|fim_prefix|># repo: NMTCC/puppet-elws path: /site/profiles/files/CentOS/config/7/config/forge/modules/overlays
#!/usr/bin/env python
... | code_fim | hard | {
"lang": "python",
"repo": "NMTCC/puppet-elws",
"path": "/site/profiles/files/CentOS/config/7/config/forge/modules/overlays",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>m wait'
)
cmdlineopts = parser.parse_args()
if cmdlineopts.now:
timeout = random.randint(0, 2 * 60 * 10) * 0.1
time.sleep(timeout)
command = ('forge','overlay','list','{"group":"tcc","distro":"F19"}')
c = remctl.remctl(host = 'update.nmt.edu', command=command)
r = json.loads(c.stdout)
for overl... | code_fim | medium | {
"lang": "python",
"repo": "NMTCC/puppet-elws",
"path": "/site/profiles/files/CentOS/config/7/config/forge/modules/overlays",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>int(f"{no}--->{rev} Input is not a palindrome")<|fim_prefix|># repo: rahmah18/HacktoberFest2021-1 path: /check_palindrome.py
no = int(input("Enter a number: "))
no = str(no)
rev = no[::-1]
if no==rev:
print(f"{no}<|fim_middle|>--->{rev} Input is a palindrome")
else:
pr | code_fim | easy | {
"lang": "python",
"repo": "rahmah18/HacktoberFest2021-1",
"path": "/check_palindrome.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rahmah18/HacktoberFest2021-1 path: /check_palindrome.py
no = int(input("Enter a number: "))
no = str(n<|fim_suffix|>--->{rev} Input is a palindrome")
else:
print(f"{no}--->{rev} Input is not a palindrome")<|fim_middle|>o)
rev = no[::-1]
if no==rev:
print(f"{no} | code_fim | easy | {
"lang": "python",
"repo": "rahmah18/HacktoberFest2021-1",
"path": "/check_palindrome.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ScienceKot/DSL-PROJECT path: /flask app/migrations/versions/0bb5933fe69f_.py
"""empty message
Revision ID: 0bb5933fe69f
Revises: 09c6fdb3cf81
Create Date: 2021-03-11 16:48:06.771046
<|fim_suffix|> # ### commands auto generated by Alembic - please adjust! ###
op.drop_constraint(None, 'use... | code_fim | hard | {
"lang": "python",
"repo": "ScienceKot/DSL-PROJECT",
"path": "/flask app/migrations/versions/0bb5933fe69f_.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: quewentian/PolicyTextAnalysis path: /policyContentExtract.py
#####################将政策文件中的内容抽取出来：标准、伦理、 3部分内容##########################
###########step 1：把3部分内容找到近义词，组成一个词表######
###########step 2：把文件与词表相匹配，判断文件到底在讲啥######
from nltk.corpus import wordnet as wn
import os
import codecs
# goods... | code_fim | hard | {
"lang": "python",
"repo": "quewentian/PolicyTextAnalysis",
"path": "/policyContentExtract.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if ethic_prob>ethic_max_prob:
ethic_max_prob=ethic_prob
if standard_prob>standard_max_prob:
standard_max_prob=standard_prob
if privacy_prob>privacy_max_prob:
privacy_max... | code_fim | hard | {
"lang": "python",
"repo": "quewentian/PolicyTextAnalysis",
"path": "/policyContentExtract.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def newImg():
x = 0
arr = []
tmp = ""
for i in range(len(result)):
tmp = tmp + str(result[x])
if(x < len(result)):
x+=1
else:
break
arr = wrap(''.join(tmp), 1)
print(arr)
size = 5
dt = struct.pack('B'*le... | code_fim | hard | {
"lang": "python",
"repo": "furret3/steganography",
"path": "/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: furret3/steganography path: /main.py
import pathlib, binascii
from textwrap import wrap
from PIL import Image
import struct
def loadFile():
global data
x = 0
data = []
subs = ["image", "text file"]
exts = [".jpg", ".txt"]
while x < 2:
check = pathlib.P... | code_fim | hard | {
"lang": "python",
"repo": "furret3/steganography",
"path": "/main.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>res = zr(pathname,prob)
res.read_rcf()
res.read_his()
tx = [67]
tsteps = []
for kt,step in enumerate(res.steps):
if step.conv_status in [-1]:
if step.time in tx:
tsteps.append(kt)
res.out_steps = tsteps
res.read_dat()
res.read_s00()
for lab in res.ele_group_labels:
if lab=='VOL... | code_fim | medium | {
"lang": "python",
"repo": "mattpre/tool_browser",
"path": "/scripts/zsoil_post/vtk/write_vtk_outline.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mattpre/tool_browser path: /scripts/zsoil_post/vtk/write_vtk_outline.py
# @description Exporting outline (boundary faces) of zsoil results to vtu
# @input zsoil results
# @output vtu unstructured grid
# @author Matthias Preisig
# @date 2017/10/10
import numpy as np
from zsoil_tools import zsoil... | code_fim | medium | {
"lang": "python",
"repo": "mattpre/tool_browser",
"path": "/scripts/zsoil_post/vtk/write_vtk_outline.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
##vtktools.write_vtu(res,beams=True,verbose=False)
##vtktools.write_vtu(res,trusses=True,verbose=False)
vtktools.write_vtu(res,vol=True,verbose=False,outline=True)
##vtktools.write_vtu(res,shells=True,verbose=False)<|fim_prefix|># repo: mattpre/tool_browser path: /scripts/zsoil_post/vtk/write_vtk_outlin... | code_fim | hard | {
"lang": "python",
"repo": "mattpre/tool_browser",
"path": "/scripts/zsoil_post/vtk/write_vtk_outline.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ramjondhale/plant-disease path: /app.py
import streamlit as st
import tensorflow.keras
from PIL import Image, ImageOps
import numpy as np
st.set_option('deprecation.showfileUploaderEncoding', False)
np.set_printoptions(suppress=True)
model = tensorflow.keras.models.load_model('keras_model.h5')
da... | code_fim | hard | {
"lang": "python",
"repo": "ramjondhale/plant-disease",
"path": "/app.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> image_array = np.asarray(image)
#image.show()
st.image(image, caption='Uploaded Image.', width=300)
normalized_image_array = (image_array.astype(np.float32) / 127.0) - 1
data[0] = normalized_image_array
prediction = model.predict(data)
data = np.rint(prediction)
print(data)... | code_fim | hard | {
"lang": "python",
"repo": "ramjondhale/plant-disease",
"path": "/app.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> x = np.zeros((3,1))
x[0,0] = -1*x_skew[1,2]
x[1,0] = x_skew[0,2]
x[2,0] = -1*x_skew[0,1]
return x<|fim_prefix|># repo: dominikjurinic/geometric-integrator path: /python-implementation/SO3_to_R3.py
import numpy as np
<|fim_middle|>def SO3_to_R3(x_skew):
| code_fim | easy | {
"lang": "python",
"repo": "dominikjurinic/geometric-integrator",
"path": "/python-implementation/SO3_to_R3.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dominikjurinic/geometric-integrator path: /python-implementation/SO3_to_R3.py
import numpy as np
<|fim_suffix|> x = np.zeros((3,1))
x[0,0] = -1*x_skew[1,2]
x[1,0] = x_skew[0,2]
x[2,0] = -1*x_skew[0,1]
return x<|fim_middle|>def SO3_to_R3(x_skew):
| code_fim | easy | {
"lang": "python",
"repo": "dominikjurinic/geometric-integrator",
"path": "/python-implementation/SO3_to_R3.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def addPercentileMessageToDB():
data = store.mapStore("data")
states_walking = filters.filterStates(data[1:, :])
states_driving = filters.filterStates(data[1:, :], "driving")
states_transit = filters.filterStates(data[1:, :], "transit")
underq1, overq1, percentile_walking_25 = filters.filterPerc... | code_fim | hard | {
"lang": "python",
"repo": "MarcelGeo/python-messages-apple-mobility",
"path": "/tasks.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MarcelGeo/python-messages-apple-mobility path: /tasks.py
import numpy as np
from datetime import date, timedelta, datetime
from pytz import timezone
import store
import psycopg2
import requests
import os
import filters
FIRST = 4
def prepareDate():
pc_tz = timezone('US/Pacific')
n = datetime... | code_fim | hard | {
"lang": "python",
"repo": "MarcelGeo/python-messages-apple-mobility",
"path": "/tasks.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xiaolin0199/bbt path: /apps/BanBanTong/commands/management/commands/start_tasks.py
#!/usr/bin/env python
# coding=utf-8
from django.core.management.base import BaseCommand
from BanBanTong.utils import task_scheduler
<|fim_suffix|> task_scheduler.start()<|fim_middle|>
class Command(BaseCom... | code_fim | medium | {
"lang": "python",
"repo": "xiaolin0199/bbt",
"path": "/apps/BanBanTong/commands/management/commands/start_tasks.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> task_scheduler.start()<|fim_prefix|># repo: xiaolin0199/bbt path: /apps/BanBanTong/commands/management/commands/start_tasks.py
#!/usr/bin/env python
# coding=utf-8
from django.core.management.base import BaseCommand
from BanBanTong.utils import task_scheduler
class Command(BaseCommand):
'''... | code_fim | easy | {
"lang": "python",
"repo": "xiaolin0199/bbt",
"path": "/apps/BanBanTong/commands/management/commands/start_tasks.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: columbustech/label-debugger path: /web.py/v6/brute_force.py
'''
Created on Mar 7, 2019
@author: hzhang0418
'''
import pymp
from v6.mono import Mono
class BruteForce(Mono):
def __init__(self, features, labels, params):
super(BruteForce, self).__init__(features, labels, params)... | code_fim | hard | {
"lang": "python",
"repo": "columbustech/label-debugger",
"path": "/web.py/v6/brute_force.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if count>0:
local_index2incons_count[mi] = count
threads2incons_count[p.thread_num] = local_index2incons_count
for _, local_index2incons_count in threads2incons_count.items():
for inde... | code_fim | hard | {
"lang": "python",
"repo": "columbustech/label-debugger",
"path": "/web.py/v6/brute_force.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jimtsai23/Amortized-Flow-Posterior-Variational-Recurrent-Autoencoder path: /duc/preprocess.py
import requests
import os
import numpy as np
from bs4 import BeautifulSoup
from nltk import word_tokenize
from collections import Counter
import random
from utils import save_pickle
root = 'data'
rati... | code_fim | hard | {
"lang": "python",
"repo": "jimtsai23/Amortized-Flow-Posterior-Variational-Recurrent-Autoencoder",
"path": "/duc/preprocess.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> num_samples = len(data)
for split, ratio in ratios:
with open(os.path.join(root, "%s.txt"%split), 'w') as f:
length = int(num_samples * ratio)
f.write('\n'.join(data[:length]))
data = data[length:]
print("Building vocabulary from DUC data")
counter ... | code_fim | hard | {
"lang": "python",
"repo": "jimtsai23/Amortized-Flow-Posterior-Variational-Recurrent-Autoencoder",
"path": "/duc/preprocess.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Rakhee06/Weather-Forecasting path: /classification.py
<<<<<<< HEAD
"""Module docstring"""
import os
import numpy as np
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import KFold
from sklearn.me... | code_fim | hard | {
"lang": "python",
"repo": "Rakhee06/Weather-Forecasting",
"path": "/classification.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
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