text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: nachiketgalande/UIHome path: /stg-nrtviewer.web.att.com/htdocs/vertica_getter.py
#!/opt/app/cacheDB/python/bin/python3
"""
A script for getting data objects from Vertica
References: Vertica Python - https://github.com/uber/vertica-python
"""
import vertica_python
import logging
# Set the logging... | code_fim | hard | {
"lang": "python",
"repo": "nachiketgalande/UIHome",
"path": "/stg-nrtviewer.web.att.com/htdocs/vertica_getter.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RYoTA1209/KeyakiAPI path: /app.py
from flask import Flask, abort, make_response, jsonify, render_template
from util.utils import Member,getSchedules
app = Flask(__name__)
app.config['JSON_AS_ASCII'] = False
app.config['JSON_SORT_KEYS'] = False
@app.route('/', methods=['GET'])
def index():
... | code_fim | hard | {
"lang": "python",
"repo": "RYoTA1209/KeyakiAPI",
"path": "/app.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>@app.route('/members', methods=['GET'])
def get_all_members():
try:
members = Member.select()
except Member.DoesNotExist:
abort(404)
items = []
for member in members:
items.append({
"memberId": member.memberId,
"name": member.name,
... | code_fim | hard | {
"lang": "python",
"repo": "RYoTA1209/KeyakiAPI",
"path": "/app.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def make(self):
dxf_profile = self.params['dxf_profile']
length = self.params['length']
width = self.params['width']
part = Linear_DXF_Extrude(dxf_profile,height=length)
part = Scale(part,v=(INCH2MM, INCH2MM, 1.0))
self.part = part
# -------------------... | code_fim | medium | {
"lang": "python",
"repo": "iorodeo/hallway_arenas",
"path": "/mechanics/camera_post.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: iorodeo/hallway_arenas path: /mechanics/camera_post.py
"""
CAD model for camera mounting posts.
"""
from py2scad import *
from part import Part
class Camera_Post(Part):
<|fim_suffix|> import params
part = Camera_Post(**params.camera_post)
prog = SCAD_Prog()
prog.fn = 50
prog.a... | code_fim | hard | {
"lang": "python",
"repo": "iorodeo/hallway_arenas",
"path": "/mechanics/camera_post.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> import params
part = Camera_Post(**params.camera_post)
prog = SCAD_Prog()
prog.fn = 50
prog.add(part)
prog.write('camera_post.scad')<|fim_prefix|># repo: iorodeo/hallway_arenas path: /mechanics/camera_post.py
"""
CAD model for camera mounting posts.
"""
from py2scad import *
from ... | code_fim | medium | {
"lang": "python",
"repo": "iorodeo/hallway_arenas",
"path": "/mechanics/camera_post.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>"""# VGG16"""
vgg16 = applications.VGG16(weights = "imagenet", include_top = False, input_shape = (img_width, img_height, 3))
vgg16.layers
# !rm -rf test_aug
# os.mkdir('saved')
train_aug = 'train_aug'
test_aug = 'test_aug'
os.mkdir(train_aug)
os.mkdir(test_aug)
# Freeze the layers which you don't wa... | code_fim | hard | {
"lang": "python",
"repo": "pratikg1999/millet_djangorest",
"path": "/webapp/plant_disease_detection.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pratikg1999/millet_djangorest path: /webapp/plant_disease_detection.py
# -*- coding: utf-8 -*-
"""Plant disease detection
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1p_O39hjZ9J9CzX2lDWWqH_rNa8cp-mg1
"""
from keras import app... | code_fim | hard | {
"lang": "python",
"repo": "pratikg1999/millet_djangorest",
"path": "/webapp/plant_disease_detection.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Initiate the train and test generators with data Augumentation
train_datagen = ImageDataGenerator(
rescale = 1./255,
horizontal_flip = True,
fill_mode = "nearest",
zoom_range = 0.3,
width_shift_range = 0.3,
... | code_fim | hard | {
"lang": "python",
"repo": "pratikg1999/millet_djangorest",
"path": "/webapp/plant_disease_detection.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
self.__lives -= 1
if(not self.__lives):
self.__score -= (time.time() - self.__start) / 10
print(font['red'] + bg['reset'] + "You Lost! Game Over! Your final score is %.3f" %(self.__score))
print("\033[?25h")
quit()
for l in range(0... | code_fim | hard | {
"lang": "python",
"repo": "SRDewan/Brick-Breaker",
"path": "/game.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SRDewan/Brick-Breaker path: /game.py
ndint(0, 5)][random.randint(0, self.__brickCtr - 1)].getPos()))
self.__powers.append(padGrab(self.__bricks[random.randint(0, 5)][random.randint(0, self.__brickCtr - 1)].getPos()))
self.__powers.append(padShoot(self.__bricks[random.randi... | code_fim | hard | {
"lang": "python",
"repo": "SRDewan/Brick-Breaker",
"path": "/game.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if(ctype == 1 or ctype == 2 or ctype == 3):
self.__paddle.release(self.__balls)
elif(not self.__lifeRec and ctype == 6):
self.__paddle.release(self.__balls)
def play(self):
os.system('cls' if os.name == 'nt' else 'clear')
print... | code_fim | hard | {
"lang": "python",
"repo": "SRDewan/Brick-Breaker",
"path": "/game.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LamprechtMatyas/MolecularSimilarity path: /model/linear_regression_model.py
#!/usr/bin/env python3
""""
Model that uses standard machine learning method - linear regression
It can be used for whole molecules or their fragments, but it has to be consistent.
If we use fragments then the similar... | code_fim | hard | {
"lang": "python",
"repo": "LamprechtMatyas/MolecularSimilarity",
"path": "/model/linear_regression_model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> else:
num_of_fragment = [0]
names_of_molecules = []
with open(fragments_file, "r", encoding="utf-8") as fragments_stream:
suma = 0
for new_line in fragments_stream:
line = json.loads(new_line)
... | code_fim | hard | {
"lang": "python",
"repo": "LamprechtMatyas/MolecularSimilarity",
"path": "/model/linear_regression_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TMenezesO/Python-UERJ path: /Aula13/Aula13_ex1.py
#Utilizando um arquivo de dados com varias colunas (por exemplo, o arquivo dados_alunos.txt),
#faca um histograma com os dados de cada uma das colunas.
#Dica: utilize o matplotlib para fazer os histogramas.
import matplotlib.pyplot as plt
<|fi... | code_fim | medium | {
"lang": "python",
"repo": "TMenezesO/Python-UERJ",
"path": "/Aula13/Aula13_ex1.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> plt.hist(lista)
plt.show()
histo(lista_idade)
histo(lista_altura)
histo(lista_peso)<|fim_prefix|># repo: TMenezesO/Python-UERJ path: /Aula13/Aula13_ex1.py
#Utilizando um arquivo de dados com varias colunas (por exemplo, o arquivo dados_alunos.txt),
#faca um histograma com os dados de cada um... | code_fim | hard | {
"lang": "python",
"repo": "TMenezesO/Python-UERJ",
"path": "/Aula13/Aula13_ex1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def histo(lista):
plt.hist(lista)
plt.show()
histo(lista_idade)
histo(lista_altura)
histo(lista_peso)<|fim_prefix|># repo: TMenezesO/Python-UERJ path: /Aula13/Aula13_ex1.py
#Utilizando um arquivo de dados com varias colunas (por exemplo, o arquivo dados_alunos.txt),
#faca um histograma com o... | code_fim | hard | {
"lang": "python",
"repo": "TMenezesO/Python-UERJ",
"path": "/Aula13/Aula13_ex1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/otherforms/_marshals.py
#calss header
class _MARSHALS():
def __init__(self,):
<|fim_suffix|> self.parents = []
self.childen = []
self.properties = []
self.jsondata = {}
self.basic = ['marshal']<|fim_middle|> self.name = "MARSHALS"
self.defi... | code_fim | easy | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/otherforms/_marshals.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.basic = ['marshal']<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/otherforms/_marshals.py
#calss header
class _MARSHALS():
def __init__(self,):
self.name = "MARSHALS"
self.definitions = marshal
<|fim_middle|> self.parents = []
self.childen = []
self.properties = []
se... | code_fim | medium | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/otherforms/_marshals.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
self.basic = ['marshal']<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/otherforms/_marshals.py
#calss header
class _MARSHALS():
<|fim_middle|> def __init__(self,):
self.name = "MARSHALS"
self.definitions = marshal
self.parents = []
self.childen = []
self.properties = []
s... | code_fim | medium | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/otherforms/_marshals.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>it()
elif weird_algorithm_number>1000000:
print ("Error: Give an integer equal to or smaller than")
print ("1000000, and bigger than or equal to 1.")
sys.exit()
print (weird_algorithm_number, end=" ", flush=True)
while weird_algorithm_number!=1:
if is_even(weird_algorithm_number):
... | code_fim | hard | {
"lang": "python",
"repo": "xormor2/Weird-algorithm",
"path": "/weird_algorithm_pylint_this2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xormor2/Weird-algorithm path: /weird_algorithm_pylint_this2.py
#!/bin/python3
# copyright Lauri K. Friberg 2021
"""System module."""
import sys
def is_even(number):
"""Find out if number is even."""
return (number%2)==0
def is_odd(number):
"""Find out if number is odd."""
return (... | code_fim | hard | {
"lang": "python",
"repo": "xormor2/Weird-algorithm",
"path": "/weird_algorithm_pylint_this2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: matzim95/Human-flow-recognition path: /people_counter_yolo.py
# import the necessary packages
from tracker.centroidtracker import CentroidTracker
from tracker.trackableobject import TrackableObject
from imutils.video import VideoStream
from imutils.video import FPS
import numpy as np
import argpa... | code_fim | hard | {
"lang": "python",
"repo": "matzim95/Human-flow-recognition",
"path": "/people_counter_yolo.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # construct a tuple of information we will be displaying on the frame
info = [
("Up", totalUp),
("Down", totalDown),
("Status", status),
]
for (i, (k, v)) in enumerate(info):
text = "{}: {}".format(k, v)
cv2.putText(frame, text, (10, H - ((i * 20) + 20)),
cv2.FONT_HERSHEY_SIMPLEX, 0.6, (... | code_fim | hard | {
"lang": "python",
"repo": "matzim95/Human-flow-recognition",
"path": "/people_counter_yolo.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def check (n, base):
nn=num(n,base)
d = 1
for p in P:
if p*p>=nn: break
if not nn%p:
d=p
break
return d
def solve(t):
print "Case #%d:"%(t+1)
N, J = map(int, raw_input().strip().split())
fine = []
for p in product(... | code_fim | medium | {
"lang": "python",
"repo": "DaHuO/Supergraph",
"path": "/codes/CodeJamCrawler/16_0_3_neat/16_0_3_vlejd_C.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> nn=num(n,base)
d = 1
for p in P:
if p*p>=nn: break
if not nn%p:
d=p
break
return d
def solve(t):
print "Case #%d:"%(t+1)
N, J = map(int, raw_input().strip().split())
fine = []
for p in product(range(2), repeat= N-2... | code_fim | medium | {
"lang": "python",
"repo": "DaHuO/Supergraph",
"path": "/codes/CodeJamCrawler/16_0_3_neat/16_0_3_vlejd_C.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DaHuO/Supergraph path: /codes/CodeJamCrawler/16_0_3_neat/16_0_3_vlejd_C.py
from itertools import product
def primes(n):
""" Returns a list of primes < n """
sieve = [True] * n
for i in xrange(3,int(n**0.5)+1,2):
if sieve[i]:
sieve[i*i::2*i]=[False]*((n-i*i-1)/(2*... | code_fim | medium | {
"lang": "python",
"repo": "DaHuO/Supergraph",
"path": "/codes/CodeJamCrawler/16_0_3_neat/16_0_3_vlejd_C.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> logger.info("deleting tunnel i:{}, o:{}, ebi:{}".format(i_tei, o_tei, ebi))
ifindex = lgnl.if_nametoindex
ifindex.argtypes = [c_char_p]
idx = ifindex(devname.encode('ascii'))
zero = V0(0)
one = V1(i_tei, o_tei)
versions = VERSIONS(zero, one)
ue_bytes = IN_ADDR(0)
enb_by... | code_fim | hard | {
"lang": "python",
"repo": "Cumucore/pygtpnl",
"path": "/pygtpnl/pygtpnl.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Cumucore/pygtpnl path: /pygtpnl/pygtpnl.py
'''
Python wrapper for libgtpnl
'''
from ctypes import CDLL,c_int,c_uint16,c_char_p,c_void_p
from ctypes import pointer,byref
from socket import socket,inet_aton,AF_INET,SOCK_DGRAM,AF_NETLINK # IPv4
from struct import unpack
from .gtpsock import GtpSock... | code_fim | hard | {
"lang": "python",
"repo": "Cumucore/pygtpnl",
"path": "/pygtpnl/pygtpnl.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> #TODO: pythonize
if_mnlsock_id = lgnl.genl_lookup_family
if_mnlsock_id.argtypes = [c_void_p, c_char_p]
mnlsock_id = if_mnlsock_id(byref(c_sock), devname.encode('ascii'))
logger.debug("mnlsock_id: {}".format(mnlsock_id))
tdel = lgnl.gtp_del_tunnel
tdel.argtypes = [c_int, c_void... | code_fim | hard | {
"lang": "python",
"repo": "Cumucore/pygtpnl",
"path": "/pygtpnl/pygtpnl.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: firdausraginda/gcp-cloud-storage path: /main.py
import os
import sys
from google.cloud import storage
from setup.init_client import create_client
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = './service_account.json'
def create_bucket(bucket_name):
"""create new bucket in specifi... | code_fim | hard | {
"lang": "python",
"repo": "firdausraginda/gcp-cloud-storage",
"path": "/main.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return None
def get_list_of_blobs(bucket_name, prefix=None, delimiter=None):
"""get lists of all the blobs in the bucket"""
# initialize client
storage_client = storage.Client()
# get list blobs
blobs = storage_client.list_blobs(bucket_name, prefix=prefix, delimiter=d... | code_fim | hard | {
"lang": "python",
"repo": "firdausraginda/gcp-cloud-storage",
"path": "/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kingsdigitallab/field-django path: /django_kdl_timeline/tests.py
from django.test import TestCase
from .models import (TimelineSlide)
import json
# Test data
test_data_headline = 'Milk Marketing Board established'
test_data_text = 'The Milk Marketing Board (MMB) was a producer-led ' \
... | code_fim | hard | {
"lang": "python",
"repo": "kingsdigitallab/field-django",
"path": "/django_kdl_timeline/tests.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> slide = TimelineSlide.objects.get(unique_id='F001')
test_text = {
"headline": test_data_headline,
"text": test_data_text
}
self.assertEqual(slide.serialise_text(), test_text)
def test_get_timeline_data(self):
slide = TimelineSlide.object... | code_fim | hard | {
"lang": "python",
"repo": "kingsdigitallab/field-django",
"path": "/django_kdl_timeline/tests.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_serialise_end_date(self):
slide = TimelineSlide.objects.get(unique_id='F001')
test_date = {"year": 1933, 'month': 12, 'day': 1}
self.assertEqual(slide.serialise_end_date(), test_date)
def test_serialise_text(self):
slide = TimelineSlide.objects.get(unique_... | code_fim | hard | {
"lang": "python",
"repo": "kingsdigitallab/field-django",
"path": "/django_kdl_timeline/tests.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hhthuongbtr/monitor path: /BLL/__init__.py
import json
import logging
import logging.config
import logging.handlers
<|fim_suffix|>with open("/monitor/config/python_logging_configuration.json", 'r') as configuration_file:
config_dict = json.load(configuration_file)
logging.config.dictConfig(c... | code_fim | medium | {
"lang": "python",
"repo": "hhthuongbtr/monitor",
"path": "/BLL/__init__.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>with open("/monitor/config/python_logging_configuration.json", 'r') as configuration_file:
config_dict = json.load(configuration_file)
logging.config.dictConfig(config_dict)
# Create the Logger
logger = logging.getLogger(__name__)<|fim_prefix|># repo: hhthuongbtr/monitor path: /BLL/__init__.py
import... | code_fim | medium | {
"lang": "python",
"repo": "hhthuongbtr/monitor",
"path": "/BLL/__init__.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>p.log10(20)))/(10**(50/20+np.log10(20))))<|fim_prefix|># repo: yuridesu/python-data-science path: /D03.py
#20微巴斯卡=0分貝，定義為v0；此式代表多少微巴斯卡=多少分貝
import numpy as np
print(20*np.log10(20000/20))<|fim_middle|>
#分貝=20log10(微巴斯卡/20)
print((10**(30/20+n | code_fim | easy | {
"lang": "python",
"repo": "yuridesu/python-data-science",
"path": "/D03.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yuridesu/python-data-science path: /D03.py
#20微巴斯卡=0分貝，定義為v0；此式代表多少微巴斯卡=多少分貝
import<|fim_suffix|>
#分貝=20log10(微巴斯卡/20)
print((10**(30/20+np.log10(20)))/(10**(50/20+np.log10(20))))<|fim_middle|> numpy as np
print(20*np.log10(20000/20)) | code_fim | easy | {
"lang": "python",
"repo": "yuridesu/python-data-science",
"path": "/D03.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>########### Example:1 For loop same program #######################################
for i in range(10): ### range is 0 to 9 here
print("hello world")
i += 1
for i in range(1,11): ### range is 1 to 10 here
print("how r u")
i += 1
####### Example:2 Sum from 1 to 10 ############... | code_fim | medium | {
"lang": "python",
"repo": "Tech-Amol5278/Python_Basics",
"path": "/c3 - loops/c3_for_loop.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>for i in range(len_name):
if name[i] not in uq_name:
uq_name += name[i]
i += 1
#### get letter count from name ##
for i in range(len(uq_name)):
print(f"{uq_name[i]} : {name.count(uq_name[i])}")
i += 1<|fim_prefix|># repo: Tech-Amol5278/Python_Basics path: /c3 - loops/c3_for_loop... | code_fim | hard | {
"lang": "python",
"repo": "Tech-Amol5278/Python_Basics",
"path": "/c3 - loops/c3_for_loop.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Tech-Amol5278/Python_Basics path: /c3 - loops/c3_for_loop.py
# while loop
# print("hello world") 10 times
########################################################################
# i = 1
# while i <= 10:
# print("hello world")
# i +=1
########### Example:1 For loop same program ####... | code_fim | medium | {
"lang": "python",
"repo": "Tech-Amol5278/Python_Basics",
"path": "/c3 - loops/c3_for_loop.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return Response({
'message': 'User Found!',
'data': {
'token': token
}
}, status=status.HTTP_200_OK)
else:
Response({
'message': 'User Not Fo... | code_fim | hard | {
"lang": "python",
"repo": "erfynaila/arrihu.ukt",
"path": "/web/apps/settings/api/serializers.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: erfynaila/arrihu.ukt path: /web/apps/settings/api/serializers.py
from django.contrib.auth import authenticate
from rest_framework import serializers, status
from rest_framework.response import Response
from rest_framework_jwt.serializers import (
JSONWebTokenSerializer,
jwt_payload_handle... | code_fim | hard | {
"lang": "python",
"repo": "erfynaila/arrihu.ukt",
"path": "/web/apps/settings/api/serializers.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def validate(self, kwargs):
credentials = {
'username': kwargs.get('username'),
'password': kwargs.get('password')
}
if all(credentials.values()):
user = authenticate(request=self.context['request'], **credentials)
if user:
... | code_fim | hard | {
"lang": "python",
"repo": "erfynaila/arrihu.ukt",
"path": "/web/apps/settings/api/serializers.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bmcq55/schoolprojects path: /Lab03_Q1b.py
# -*- coding: utf-8 -*-
"""
Created on Tue Sep 22 11:25:28 2020
@author: Brendon McHugh
Question 1(b) of Lab03
Here, we use gaussian quadrature to calculate the
probability of blowing snow based on the average
hourly windspeed at 10m, the s... | code_fim | hard | {
"lang": "python",
"repo": "bmcq55/schoolprojects",
"path": "/Lab03_Q1b.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>plt.title('Probability of Blowing Snow vs Temperature')
plt.savefig('ProbSnow_Temp_1b')
# Create log plot of proability of blowing snow vs temperature
plt.figure()
for (u10, colour) in zip(u10_vals, colours):
for (th, line) in zip(th_vals, lines):
P_bs = prob_blowing_snow(u10, Ta, th... | code_fim | hard | {
"lang": "python",
"repo": "bmcq55/schoolprojects",
"path": "/Lab03_Q1b.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Create log plot of proability of blowing snow vs temperature
plt.figure()
for (u10, colour) in zip(u10_vals, colours):
for (th, line) in zip(th_vals, lines):
P_bs = prob_blowing_snow(u10, Ta, th, N)
plot_str = colour + line
plt.semilogy(Ta, P_bs, plot_str, label=r'$u_{1... | code_fim | hard | {
"lang": "python",
"repo": "bmcq55/schoolprojects",
"path": "/Lab03_Q1b.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: josepalos/temperature_monitor path: /backend/load.py
import random
import uuid
from temperatures import models
import datetime
from django.utils import timezone
<|fim_suffix|>for i in range(0, dades):
temp = random.randint(0, 40)
models.Temperature.objects.create(temperature=temp, device... | code_fim | hard | {
"lang": "python",
"repo": "josepalos/temperature_monitor",
"path": "/backend/load.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>dades = 3600
device, _ = models.Device.objects.get_or_create(identifier=DUMMY_UUID)
for i in range(0, dades):
temp = random.randint(0, 40)
models.Temperature.objects.create(temperature=temp, device=device, datetime=first)
first = first - offset<|fim_prefix|># repo: josepalos/temperature_moni... | code_fim | medium | {
"lang": "python",
"repo": "josepalos/temperature_monitor",
"path": "/backend/load.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rickyrawal458/gallery path: /galleryview/migrations/0005_auto_20201201_1906.py
# Generated by Django 3.1.2 on 2020-12-01 13:36
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
<|fim_suffix|> ope... | code_fim | medium | {
"lang": "python",
"repo": "rickyrawal458/gallery",
"path": "/galleryview/migrations/0005_auto_20201201_1906.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('galleryview', '0004_remove_list_available'),
]
operations = [
migrations.AlterModelOptions(
name='list',
options={},
),
migrations.AddField(
... | code_fim | medium | {
"lang": "python",
"repo": "rickyrawal458/gallery",
"path": "/galleryview/migrations/0005_auto_20201201_1906.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('exam', '0002_profile'),
]
operations = [
migrations.AddField(
model_name='profile',
name='About_me',
field=models.TextField(blank=True, null=True),
),
migrations.AddField(
model_name=... | code_fim | medium | {
"lang": "python",
"repo": "Kdheeru12/intern2",
"path": "/exam/migrations/0003_auto_20200804_2034.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Kdheeru12/intern2 path: /exam/migrations/0003_auto_20200804_2034.py
# Generated by Django 3.0.2 on 2020-08-04 15:04
from django.db import migrations, models
<|fim_suffix|>
dependencies = [
('exam', '0002_profile'),
]
operations = [
migrations.AddField(
... | code_fim | medium | {
"lang": "python",
"repo": "Kdheeru12/intern2",
"path": "/exam/migrations/0003_auto_20200804_2034.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gracechg/PythonCode path: /DataBase/上证综指.py
# coding=utf8
import matplotlib.pyplot as plt
import numpy as np
open,close=<|fim_suffix|>
today=change[1:]
plt.scatter(yesterday,today,10,'r','<',alpha=0.5)
plt.show()<|fim_middle|>np.loadtxt('G:\\PythonCode\\DataBase\\000001.csv',delimiter=',',skipro... | code_fim | medium | {
"lang": "python",
"repo": "gracechg/PythonCode",
"path": "/DataBase/上证综指.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
today=change[1:]
plt.scatter(yesterday,today,10,'r','<',alpha=0.5)
plt.show()<|fim_prefix|># repo: gracechg/PythonCode path: /DataBase/上证综指.py
# coding=utf8
import matplotlib.pyplot as plt
import numpy as np
open,close=<|fim_middle|>np.loadtxt('G:\\PythonCode\\DataBase\\000001.csv',delimiter=',',skipro... | code_fim | medium | {
"lang": "python",
"repo": "gracechg/PythonCode",
"path": "/DataBase/上证综指.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sunxinzhao/LeetCode_subject path: /medium/tree/98.py
# coding=utf-8
'''
给定一个二叉树，判断其是否是一个有效的二叉搜索树。
假设一个二叉搜索树具有如下特征：
节点的左子树只包含小于当前节点的数。
节点的右子树只包含大于当前节点的数。
所有左子树和右子树自身必须也是二叉搜索树。
示例 1:
输入:
2
/ \
1 3
输出: true
示例 2:
输入:
... | code_fim | medium | {
"lang": "python",
"repo": "sunxinzhao/LeetCode_subject",
"path": "/medium/tree/98.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def digui(node):
if node:
digui(node.left)
return_list.append(node.val)
digui(node.right)
digui(root)
for i in range(1, len(return_list) - 1):
if return_list[i] < return_list[i - 1]:
return Fa... | code_fim | hard | {
"lang": "python",
"repo": "sunxinzhao/LeetCode_subject",
"path": "/medium/tree/98.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jdaeira/Python-Basics path: /lists.py
my_list = [1 , 2.5, 'a']
print(my_list)
length = len(my_list)
print("The length of the list is: {}".format(length))
print("The contents of the list is:")
for item in my_list:
print(item)
<|fim_suffix|># split = '_'.join(split)
# print(split)
split = ' '.... | code_fim | medium | {
"lang": "python",
"repo": "jdaeira/Python-Basics",
"path": "/lists.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># split = '_'.join(split)
# print(split)
split = ' '.join(split)
print(split)<|fim_prefix|># repo: jdaeira/Python-Basics path: /lists.py
my_list = [1 , 2.5, 'a']
print(my_list)
length = len(my_list)
print("The length of the list is: {}".format(length))
print("The contents of the list is:")
for item in... | code_fim | medium | {
"lang": "python",
"repo": "jdaeira/Python-Basics",
"path": "/lists.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.CreateModel(
name='reg2',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('user_name', models.CharField(max_length=100)),
('password... | code_fim | hard | {
"lang": "python",
"repo": "sallythompson28/Agraryans-Form-equipment-rental-system",
"path": "/main_part/sub_part/migrations/0013_reg2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
('sub_part', '0012_add_categories_database_status'),
]
operations = [
migrations.CreateModel(
name='reg2',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
... | code_fim | hard | {
"lang": "python",
"repo": "sallythompson28/Agraryans-Form-equipment-rental-system",
"path": "/main_part/sub_part/migrations/0013_reg2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sallythompson28/Agraryans-Form-equipment-rental-system path: /main_part/sub_part/migrations/0013_reg2.py
# Generated by Django 3.2.5 on 2021-08-09 14:43
from django.db import migrations, models
<|fim_suffix|> dependencies = [
('sub_part', '0012_add_categories_database_status'),
... | code_fim | hard | {
"lang": "python",
"repo": "sallythompson28/Agraryans-Form-equipment-rental-system",
"path": "/main_part/sub_part/migrations/0013_reg2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Now train the model
test= pd.read_csv("testeco_lstm.csv")
train = pd.read_csv("traineco_lstm.csv")
gg=train.fillna(train.median())
y=gg['target']
X=gg.drop(['id','target'],axis=1)
print("X_shape:"+str(X.shape)," , y_shape :"+str(y.shape))
X_train, X_cv, y_train, y_cv = train_test_split(X, y, test_... | code_fim | hard | {
"lang": "python",
"repo": "nikitaomare/Softbank_USD-JPY",
"path": "/softbank_script.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nikitaomare/Softbank_USD-JPY path: /softbank_script.py
#importing library
import pandas as pd
from keras import models
from keras import layers
from keras.datasets import boston_housing
from keras.models import Model
from sklearn.model_selection import cross_val_score
from keras.layers imp... | code_fim | hard | {
"lang": "python",
"repo": "nikitaomare/Softbank_USD-JPY",
"path": "/softbank_script.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # retrieve list of Gmail labels
labels = ListLabels(service, 'me')
for label in labels:
# check if specified label exists
if label['name'] == flags.label:
label_id = label['id']
label_exists = True
# get label_ID of 'new' label
elif labe... | code_fim | hard | {
"lang": "python",
"repo": "UI-VAST/dashboard",
"path": "/scripts/PacketDownloader/PacketDownloader.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
label = service.users().labels().create(userId=user_id, body=label_object).execute()
return label
except errors.HttpError, error:
print('An error occurred: %s' % error)
# make actual label in Gmail
def MakeLabel(label_name, mlv='show', llv='labelShow'):
label = {'messageListVisibil... | code_fim | hard | {
"lang": "python",
"repo": "UI-VAST/dashboard",
"path": "/scripts/PacketDownloader/PacketDownloader.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: UI-VAST/dashboard path: /scripts/PacketDownloader/PacketDownloader.py
#!/usr/bin/python2
from __future__ import print_function
import httplib2
import oauth2client # $ pip install google-api-python-client
import os
import base64
import time
import email
from googleapiclient import discovery... | code_fim | hard | {
"lang": "python",
"repo": "UI-VAST/dashboard",
"path": "/scripts/PacketDownloader/PacketDownloader.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # your code here
return 0 # change<|fim_prefix|># repo: yeonwookang/Practice path: /JH/q2b.py
# q2b.py
# Name:
# Section:
<|fim_middle|># TODO: fill sv_recursive
# m is a matrix represented by a 2D list of integers. e.g. m = [[3, 0, 2, 18],[-1, 1, 3, 4],[-2, -3, 18, 7]]
# This function returns the ... | code_fim | hard | {
"lang": "python",
"repo": "yeonwookang/Practice",
"path": "/JH/q2b.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yeonwookang/Practice path: /JH/q2b.py
# q2b.py
# Name:
# Section:
<|fim_suffix|> # your code here
return 0 # change<|fim_middle|># TODO: fill sv_recursive
# m is a matrix represented by a 2D list of integers. e.g. m = [[3, 0, 2, 18],[-1, 1, 3, 4],[-2, -3, 18, 7]]
# This function returns the ... | code_fim | hard | {
"lang": "python",
"repo": "yeonwookang/Practice",
"path": "/JH/q2b.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_ticker_list(self, folder = "/Users/zhouzijian/myproject/Backtest-Platform"):
#save to a local file
dateToday = self.today
tickersRawData = ts.get_stock_basics()
tickers = tickersRawData.index.to_list()
return pd.DataFrame(tickers)<|fim_prefix|># repo: h... | code_fim | medium | {
"lang": "python",
"repo": "hantop/CN-Trade",
"path": "/strategies/get_cn_data.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
#if history, append at end
file = folder + "/" + ticker + ".csv"
if os.path.exists(file):
history = pd.read_csv(file, index_col = 0)
intraday.append(history)
#save
intraday.to_csv(file)
print("intraday for [" + ticker + "] saved.")
... | code_fim | hard | {
"lang": "python",
"repo": "hantop/CN-Trade",
"path": "/strategies/get_cn_data.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hantop/CN-Trade path: /strategies/get_cn_data.py
import baostock as bs
import tushare as ts
import pandas as pd
import datetime
import os
class stock_data:
def __init__(self, ticker = "000001"):
if ticker[0] == '6':
ticker = 'sh.' + ticker
else:
ticke... | code_fim | medium | {
"lang": "python",
"repo": "hantop/CN-Trade",
"path": "/strategies/get_cn_data.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>dosAbundante = set([])
for a in abundantes:
for b in abundantes:
valor = a+b
if valor < 28123:
dosAbundante.add(a+b)
print len(dosAbundante)
total = 0
for n in dosAbundante:
total += n
superior = 0
for n in xrange(1, 28123):
superior += n
print superior
print tota... | code_fim | medium | {
"lang": "python",
"repo": "Mohamedtareque/joac-python",
"path": "/Euler/euler23.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Mohamedtareque/joac-python path: /Euler/euler23.py
import math
def sumaDivisoresPropios(numero):
n = numero
p =2
sum = 1
while pow(p, 2) <= n and n >1:
if not n%p:
j = pow(p,2)
n /= p
while not n%p:
j *= p
... | code_fim | medium | {
"lang": "python",
"repo": "Mohamedtareque/joac-python",
"path": "/Euler/euler23.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># In[16]:
# DON'T WRITE HERE
# #### 16. Write code that reproduces the output shown below.
# In[65]:
mat[4]
# In[17]:
# DON'T WRITE HERE
# #### 17. Write code that reproduces the output shown below.
# In[69]:
mat[3:5]
# In[18]:
# DON'T WRITE HERE
# ## NumPy Operations
# #### 18. Get... | code_fim | hard | {
"lang": "python",
"repo": "Kopuz90/demorepo",
"path": "/NumPy-Exercises.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Kopuz90/demorepo path: /NumPy-Exercises.py
#!/usr/bin/env python
# coding: utf-8
# ___
#
# <a href='http://www.pieriandata.com'><img src='../Pierian_Data_Logo.png'/></a>
# ___
# <center><em>Copyright Pierian Data</em></center>
# <center><em>For more information, visit us at <a href='http://www.... | code_fim | hard | {
"lang": "python",
"repo": "Kopuz90/demorepo",
"path": "/NumPy-Exercises.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# #### 19. Get the standard deviation of the values in mat
# In[71]:
mat.std()
# In[20]:
# DON'T WRITE HERE
# #### 20. Get the sum of all the columns in mat
# In[72]:
mat.sum(axis=0)
# In[21]:
# DON'T WRITE HERE
# ## Bonus Question
#
# We worked a lot with random data with numpy, but i... | code_fim | hard | {
"lang": "python",
"repo": "Kopuz90/demorepo",
"path": "/NumPy-Exercises.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def install():
env.run("npm install")<|fim_prefix|># repo: Frojd/Fabrik path: /fabrik/ext/npm.py
# -*- coding: utf-8 -*-
"""
fabrik.ext.npm
-------------------------
"""
<|fim_middle|>from fabric.decorators import task
from fabric.state import env
| code_fim | medium | {
"lang": "python",
"repo": "Frojd/Fabrik",
"path": "/fabrik/ext/npm.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> env.run("npm install")<|fim_prefix|># repo: Frojd/Fabrik path: /fabrik/ext/npm.py
# -*- coding: utf-8 -*-
<|fim_middle|>"""
fabrik.ext.npm
-------------------------
"""
from fabric.decorators import task
from fabric.state import env
def install():
| code_fim | medium | {
"lang": "python",
"repo": "Frojd/Fabrik",
"path": "/fabrik/ext/npm.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Frojd/Fabrik path: /fabrik/ext/npm.py
# -*- coding: utf-8 -*-
<|fim_suffix|>from fabric.decorators import task
from fabric.state import env
def install():
env.run("npm install")<|fim_middle|>"""
fabrik.ext.npm
-------------------------
"""
| code_fim | easy | {
"lang": "python",
"repo": "Frojd/Fabrik",
"path": "/fabrik/ext/npm.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: charlie1kimo/leetcode_judge path: /63_unique_paths_2.py
"""
Follow up for "Unique Paths":
Now consider if some obstacles are added to the grids. How many unique paths would there be?
An obstacle and empty space is marked as 1 and 0 respectively in the grid.
For example,
There is one obstacle i... | code_fim | hard | {
"lang": "python",
"repo": "charlie1kimo/leetcode_judge",
"path": "/63_unique_paths_2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Solution(object):
"""
Idea:
- DP (bottom up)
- initialize path[m+1][n+1]
- initialize path[m - 1][n] = 1 (one way to get to the end)
- path[m][n] = path[m - 1][n] + path[m][n - 1] if no obstacle, else 0
"""
def uniquePathsWithObstacles(self, ob... | code_fim | medium | {
"lang": "python",
"repo": "charlie1kimo/leetcode_judge",
"path": "/63_unique_paths_2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Aasthaengg/IBMdataset path: /Python_codes/p02813/s908791583.py
n = int(input())
P = tuple(map(int, input().split()))
Q = tuple(map(int, input().split()))
<|fim_suffix|> break
for i in range(len(X)):
if Q == X[i]:
b = i
break
print(abs(a-b))<|fim_middle|>##print(P)
#print(Q)
im... | code_fim | medium | {
"lang": "python",
"repo": "Aasthaengg/IBMdataset",
"path": "/Python_codes/p02813/s908791583.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>:
X.append(p)
#print(X)
for i in range(len(X)):
if P == X[i]:
a = i
break
for i in range(len(X)):
if Q == X[i]:
b = i
break
print(abs(a-b))<|fim_prefix|># repo: Aasthaengg/IBMdataset path: /Python_codes/p02813/s908791583.py
n = int(input())
P = tuple(map(int, i... | code_fim | medium | {
"lang": "python",
"repo": "Aasthaengg/IBMdataset",
"path": "/Python_codes/p02813/s908791583.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def __init__(self, sz):
self.size = sz
self.board = Board(self.size)
self.clues = []
def __str__(self):
return f'{{\n"title": "Randomly Generated Crossword",\n"by": "#1 POOSD Group",\n"clues":{self.clues}\n}}'<|fim_prefix|># repo: jin0s/Crossing-Words pa... | code_fim | medium | {
"lang": "python",
"repo": "jin0s/Crossing-Words",
"path": "/Sprint 1/src/crossword.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.size = sz
self.board = Board(self.size)
self.clues = []
def __str__(self):
return f'{{\n"title": "Randomly Generated Crossword",\n"by": "#1 POOSD Group",\n"clues":{self.clues}\n}}'<|fim_prefix|># repo: jin0s/Crossing-Words path: /Sprint 1/src/crossword.py
im... | code_fim | hard | {
"lang": "python",
"repo": "jin0s/Crossing-Words",
"path": "/Sprint 1/src/crossword.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jin0s/Crossing-Words path: /Sprint 1/src/crossword.py
import numpy as np
class Clue:
def __init__(self, x_pos, y_pos, num, _direction, _length):
self.x_position = x_pos
self.y_position = y_pos
self.number = num
self.direction = _direction
self.len... | code_fim | medium | {
"lang": "python",
"repo": "jin0s/Crossing-Words",
"path": "/Sprint 1/src/crossword.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: quantumFeline/algebra-hw path: /Legendre_Jacobi.py
import functions
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from matplotlib import colors as mcolors
def legendre(a,p):
return functions.fast_power(a, (p-1)//2, p)
def jacobi(a,n):
# print... | code_fim | hard | {
"lang": "python",
"repo": "quantumFeline/algebra-hw",
"path": "/Legendre_Jacobi.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if functions.gcd(a, n) != 1:
return 0
if a % 2 == 0:
if n % 8 == 3 or n % 8 == 5:
res *= -1
a //= 2
res *= (-1) ** ((n-1)//2) * (-1) ** ((a-1)//2)
a, n = n % a, a
if __name__ == "__main__":
print(jacobi(13,13))
... | code_fim | medium | {
"lang": "python",
"repo": "quantumFeline/algebra-hw",
"path": "/Legendre_Jacobi.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> conexion de eventos con los objetos
estamos conectando el código con la interfaz gráfico
botones formulario cliente
'''
var.ui.btnSalir.clicked.connect(events.Eventos.Salir)
var.ui.btnCalendar.clicked.connect(clients.Clientes.abrirCalendar)
... | code_fim | hard | {
"lang": "python",
"repo": "scollboul/COLLAZOBOULLOSA",
"path": "/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: scollboul/COLLAZOBOULLOSA path: /main.py
from PyQt5 import QtWidgets, QtGui, QtCore, QtPrintSupport
from ventana import *
from vensalir import *
from vencalendar import *
from datetime import datetime, date
import sys, var, events, clients, conexion, printer, Products, ventas, provider
class Dia... | code_fim | hard | {
"lang": "python",
"repo": "scollboul/COLLAZOBOULLOSA",
"path": "/main.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> Botones proveedores
"""
var.ui.btnAltaProv.clicked.connect(provider.Provider.altaProveedor)
var.ui.TableProveedores.clicked.connect(provider.Provider.cargarProd)
var.ui.TableProveedores.setSelectionBehavior(QtWidgets.QTableWidget.SelectRows)
var.ui.... | code_fim | hard | {
"lang": "python",
"repo": "scollboul/COLLAZOBOULLOSA",
"path": "/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jackm1123/offgroundshousing path: /listings/admin.py
from django.contrib import admin
from .models import Listing,Listing_Image,Review
<|fim_suffix|>
# class Listing_ImageInline(admin.TabularInline):
# model = Listing_Image
# extra = 3
#
# class ListingAdmin(admin.ModelAdmin):
# inl... | code_fim | medium | {
"lang": "python",
"repo": "jackm1123/offgroundshousing",
"path": "/listings/admin.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># class Listing_ImageInline(admin.TabularInline):
# model = Listing_Image
# extra = 3
#
# class ListingAdmin(admin.ModelAdmin):
# inlines = [ Listing_ImageInline, ]<|fim_prefix|># repo: jackm1123/offgroundshousing path: /listings/admin.py
from django.contrib import admin
from .models import ... | code_fim | medium | {
"lang": "python",
"repo": "jackm1123/offgroundshousing",
"path": "/listings/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rtapadar/designate path: /functionaltests/api/v2/test_zone.py
"""
Copyright 2015 Rackspace
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/licenses/... | code_fim | hard | {
"lang": "python",
"repo": "rtapadar/designate",
"path": "/functionaltests/api/v2/test_zone.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> resp, model = ZoneClient.as_user(user).post_zone(zone_model)
self.assertEqual(resp.status, 202)
ZoneClient.as_user(user).wait_for_zone(model.id)
return resp, model
def test_no_create_duplicate_domain(self):
zone = datagen.random_zone_data()
self._create... | code_fim | hard | {
"lang": "python",
"repo": "rtapadar/designate",
"path": "/functionaltests/api/v2/test_zone.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_no_create_subdomain_by_alt_user(self):
zone = datagen.random_zone_data()
subzone = datagen.random_zone_data(name='sub.' + zone.name)
subsubzone = datagen.random_zone_data(name='sub.sub.' + zone.name)
self._create_zone(zone, user='default')
self.assertRa... | code_fim | hard | {
"lang": "python",
"repo": "rtapadar/designate",
"path": "/functionaltests/api/v2/test_zone.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mcooper52590/RadioAstronomy path: /Homework3/HW3-Problem3.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Feb 9 16:01:22 2019
@author: mattcooper
"""
import numpy as np
import matplotlib.pyplot as plt
u = 1.661e-27
k = 1.38e-23
c = 3e8
m_He = 4.003*u
m_C = 12.0107*u
m_P ... | code_fim | hard | {
"lang": "python",
"repo": "mcooper52590/RadioAstronomy",
"path": "/Homework3/HW3-Problem3.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> flag = False
while flag == False:
M = (A + B)/2
func_A = FUNC(A, *args)
func_B = FUNC(B, *args)
func_M = FUNC(M, *args)
if B - M < ERR:
print('Error reached')
return M
if func_A == func_B:
print('Bisection... | code_fim | hard | {
"lang": "python",
"repo": "mcooper52590/RadioAstronomy",
"path": "/Homework3/HW3-Problem3.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
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