text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: jameslarrue/enzo-e path: /tools/colormap_gen.py
#!/usr/bin/python
'''
Program to generate a Cello-compatible colormap.
Can use either space-delimited RGB values
(such as the ones generated here: http://jdherman.github.io/colormap)
or
can use matplotlib's built-in colormaps
(see here: ... | code_fim | hard | {
"lang": "python",
"repo": "jameslarrue/enzo-e",
"path": "/tools/colormap_gen.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> f.write(firstline + '\n')
f.write('\n' + "colormap = [" + '\n')
for l in range(length-1):
f.write(spaces + " ")
f.write(str(reds[l]) + ", " + str(greens[l]) + \
", " + str(blues[l]) + ',\n')
f.write(spaces + " ")
f.write(str(reds[length-1]) + ", " + ... | code_fim | hard | {
"lang": "python",
"repo": "jameslarrue/enzo-e",
"path": "/tools/colormap_gen.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> for x in range(256): # max colors expected
r.append(cmap(x)[0])
g.append(cmap(x)[1])
b.append(cmap(x)[2])
num_lines = x
if(cmap(x) == cmap(x+1)):
break
return r, g, b, num_lines
def write_to_file(outfile, reds, greens, blues, length):
... | code_fim | hard | {
"lang": "python",
"repo": "jameslarrue/enzo-e",
"path": "/tools/colormap_gen.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zhilin007/LightEnhancement path: /net/deprecated/models/SepConv_cudnn.py
import torch,torch.nn as nn,time
from torchstat import stat
def conv(feats,groups,kernel_size=3):
return nn.Conv2d(in_channels=feats,out_channels=feats,kernel_size=kernel_size,
stride=1,padding=kernel_size//2,groups=gro... | code_fim | hard | {
"lang": "python",
"repo": "zhilin007/LightEnhancement",
"path": "/net/deprecated/models/SepConv_cudnn.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> stat(stanet,(16,256,256))
params: 9,280 (x5.4)
memory: 16.00MB
Flops: 608.17MFlops (x5.4)
'''
#same with paper
#208s
x=torch.ones([1,16,256,256]).to('cuda:1')
sepnet=sepnet.to('cuda:1')
sep_time=time.time()
for i in range(steps):
print(f'\r sepnet {i}/{steps}',end='',flush=True)
with torch.... | code_fim | hard | {
"lang": "python",
"repo": "zhilin007/LightEnhancement",
"path": "/net/deprecated/models/SepConv_cudnn.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>rint "Hay", count, "líneas subject en", filename
except:
print "No se pudo abrir el fichero:", filename<|fim_prefix|># repo: riodementa/Python_Michigan-University path: /7_3.py
# Exercise 7.3 (Easter Egg)
filename = raw_input("Introduzca el nombre del fichero: [o pulsa INTRO] ")
count = 0
try:
... | code_fim | medium | {
"lang": "python",
"repo": "riodementa/Python_Michigan-University",
"path": "/7_3.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: riodementa/Python_Michigan-University path: /7_3.py
# Exercise 7.3 (Easter Egg)
filename = raw_input("Introduzca el nombre del fichero: [o pulsa INTRO] ")
count = 0
try:
if filename== "na na boo boo":
print "NA NA BOO BOO PARA TI - ¡Te he pillado<|fim_suffix|>rint "Hay", count, ... | code_fim | medium | {
"lang": "python",
"repo": "riodementa/Python_Michigan-University",
"path": "/7_3.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
if not os.path.exists(f'data/prices/{ticker}.csv'):
prices = web.get_data_yahoo(ticker, start_date, end_date)
prices.to_csv(f'data/prices/{ticker}.csv')
else:
prices = pd.read_csv(f'data/prices/{ticker}.csv', index_col=0)
prices.inde... | code_fim | medium | {
"lang": "python",
"repo": "lkqllx/Lim",
"path": "/Project_1-Inclusion/backtest.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lkqllx/Lim path: /Project_1-Inclusion/backtest.py
import pandas as pd
import pandas_datareader as web
import numpy as np
import datetime as dt
import math
import multiprocessing as mp
import itertools
import os
def run(zipped):
"""Function to be run in parallel"""
annc_date_str, (buy_ad... | code_fim | medium | {
"lang": "python",
"repo": "lkqllx/Lim",
"path": "/Project_1-Inclusion/backtest.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def multi_proc(target_dates, buy_period, sell_period):
pool = mp.Pool(mp.cpu_count())
profits = pool.map(run, zip(target_dates, itertools.product(buy_period, sell_period)))
output = pd.DataFrame(profits, columns=['Buy Advance', 'Sell Delay', 'Ave Profit', 'AVE Profit Minus Benchmark'])
out... | code_fim | hard | {
"lang": "python",
"repo": "lkqllx/Lim",
"path": "/Project_1-Inclusion/backtest.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Dybowskii/wizualizacja_danych path: /6_4.py
import numpy as np
def potega(a,b):
<|fim_suffix|>x=int(input("jaka liczbe chcesz potegowac: "))
y=int(input("ile razy chcesz ja potegowac: "))
potega(x,y)<|fim_middle|> print("\n", np.logspace(1, b, num=b, base = a, dtype=int))
| code_fim | medium | {
"lang": "python",
"repo": "Dybowskii/wizualizacja_danych",
"path": "/6_4.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>x=int(input("jaka liczbe chcesz potegowac: "))
y=int(input("ile razy chcesz ja potegowac: "))
potega(x,y)<|fim_prefix|># repo: Dybowskii/wizualizacja_danych path: /6_4.py
import numpy as np
def potega(a,b):
<|fim_middle|> print("\n", np.logspace(1, b, num=b, base = a, dtype=int))
| code_fim | medium | {
"lang": "python",
"repo": "Dybowskii/wizualizacja_danych",
"path": "/6_4.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> or a>b)
print (a==b and b==a)
print (a==b or b==a)<|fim_prefix|># repo: umarahsan786/3 path: /06_comparsionoperator.py
a = 34
b = 86
print (a<b)
print (a!=b)
print (a!=b)<|fim_middle|>
print (a>b and a>b)
print (a<b and a<b)
print (a!=b)
print (b!=a)
print (a==b)
print (b==a)
print (a<b | code_fim | medium | {
"lang": "python",
"repo": "umarahsan786/3",
"path": "/06_comparsionoperator.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: umarahsan786/3 path: /06_comparsionoperator.py
a = 34
b = 86
print (a<b)
print (a!=b)
print (a!=b)
print (a>b and a>b)
print (a<b and a<b)
print (a!=b<|fim_suffix|> or a>b)
print (a==b and b==a)
print (a==b or b==a)<|fim_middle|>)
print (b!=a)
print (a==b)
print (b==a)
print (a<b | code_fim | easy | {
"lang": "python",
"repo": "umarahsan786/3",
"path": "/06_comparsionoperator.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SmokyTail/OldProjects path: /Other labs/ОП/Lab03/Lab03.3.py
monty_python = "Monty Python"
print(monty_python[1:5])
<|fim_suffix|>print(len(python))
phrase = """
It is a really long string
triple-quoted strings are used
to define multi-line strings
"""
l = len(phrase) / 2
first = phrase[:int(l)]... | code_fim | hard | {
"lang": "python",
"repo": "SmokyTail/OldProjects",
"path": "/Other labs/ОП/Lab03/Lab03.3.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>print(len(python))
phrase = """
It is a really long string
triple-quoted strings are used
to define multi-line strings
"""
l = len(phrase) / 2
first = phrase[:int(l)]
print(str(first))<|fim_prefix|># repo: SmokyTail/OldProjects path: /Other labs/ОП/Lab03/Lab03.3.py
monty_python = "Monty Python"
print(mo... | code_fim | medium | {
"lang": "python",
"repo": "SmokyTail/OldProjects",
"path": "/Other labs/ОП/Lab03/Lab03.3.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MatthewWolff/DESMAN path: /scripts/write_strain_fasta.py
#!/usr/bin/env python3
import sys
from Bio import SeqIO
from argparse import ArgumentParser
def extract_strain_seqs(etaS_file, seq_index):
strainseqs = []
with open(etaS_file, 'r') as fh:
for i, line in enumerate(fh):
... | code_fim | hard | {
"lang": "python",
"repo": "MatthewWolff/DESMAN",
"path": "/scripts/write_strain_fasta.py",
"mode": "psm",
"license": "BSD-2-Clause-Views",
"source": "the-stack-v2"
} |
<|fim_suffix|> seq_index = SeqIO.index(args.fasta, 'fasta')
tau_star_file = args.tau_star_file
etaS_file = args.etaS_file
outbase = args.outbase
strainseqs = extract_strain_seqs(etaS_file, seq_index)
# Update strains
strainseqs = update_strain_seqs(tau_star_file, strainseqs)
# Write strai... | code_fim | hard | {
"lang": "python",
"repo": "MatthewWolff/DESMAN",
"path": "/scripts/write_strain_fasta.py",
"mode": "spm",
"license": "BSD-2-Clause-Views",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == '__main__':
parser = ArgumentParser()
parser.add_argument("fasta", type=str,
help="Gene nucleotide fasta file")
parser.add_argument("tau_star_file", type=str,
help="Prediction for strain haplotypes ('_tau_star.csv' output from Gen... | code_fim | hard | {
"lang": "python",
"repo": "MatthewWolff/DESMAN",
"path": "/scripts/write_strain_fasta.py",
"mode": "spm",
"license": "BSD-2-Clause-Views",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: evgen-ryzhkov/computer_vision path: /face_recognition_game_of_thrones/scripts/dataset.py
import http.client, urllib.parse, json
import config.main as config
import requests
import time
import os
import shutil
class Dataset:
def __init__(self):
# todo - replace the key into independ... | code_fim | hard | {
"lang": "python",
"repo": "evgen-ryzhkov/computer_vision",
"path": "/face_recognition_game_of_thrones/scripts/dataset.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _get_json(self, search_term):
headers = {"Ocp-Apim-Subscription-Key": self.subscription_key}
offset = 0
n_grab_images = 0
value_results = []
while n_grab_images < self.images_amount_for_class:
params = {"q": search_term, "imageType": "photo", "o... | code_fim | hard | {
"lang": "python",
"repo": "evgen-ryzhkov/computer_vision",
"path": "/face_recognition_game_of_thrones/scripts/dataset.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def save(request) :
return HttpResponseRedirect(reverse('board:getList'))
def delete(request, board_id) :
board = Board.objects.get(id = board_id)
# try :
board.delete()
# except :
return HttpResponseRedirect(reverse('board:getList'))<|fim_prefix|># repo: Nexters/Dog58Server path: /Dog58/board/vi... | code_fim | medium | {
"lang": "python",
"repo": "Nexters/Dog58Server",
"path": "/Dog58/board/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Nexters/Dog58Server path: /Dog58/board/views.py
# -*- coding: utf-8 -*-
from django.shortcuts import render, render_to_response
from django.http import HttpResponse
from django.http import HttpResponseRedirect
from board.models import Board
from board.forms import BoardAdminForm
from django.templ... | code_fim | hard | {
"lang": "python",
"repo": "Nexters/Dog58Server",
"path": "/Dog58/board/views.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> boardList = Board.objects.all()
context = {"boardList" : boardList}
return render(request, "board/list.html", context)
def get(request, board_id) :
board = Board.objects.get(id = board_id)
context = {"content" : board}
return render(request, "board/content.html", context)
def write(request):
form... | code_fim | medium | {
"lang": "python",
"repo": "Nexters/Dog58Server",
"path": "/Dog58/board/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def shfl_up_sync(mask, var, delta, width=32):
return call_cuda('__shfl_up_sync', [mask, var, delta, width])
def shfl_down_sync(mask, var, delta, width=32):
return call_cuda('__shfl_down_sync', [mask, var, delta, width])
def shfl_xor_sync(mask, var, lane_mask, width=32):
return call_cuda('_... | code_fim | hard | {
"lang": "python",
"repo": "yaoyaoding/hidet-artifacts",
"path": "/python/hidet/ir/primitives/cuda/funcs.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def shfl_up_sync(mask, var, delta, width=32):
return call_cuda('__shfl_up_sync', [mask, var, delta, width])
def shfl_down_sync(mask, var, delta, width=32):
return call_cuda('__shfl_down_sync', [mask, var, delta, width])
def shfl_xor_sync(mask, var, lane_mask, width=32):
return call_cuda('... | code_fim | hard | {
"lang": "python",
"repo": "yaoyaoding/hidet-artifacts",
"path": "/python/hidet/ir/primitives/cuda/funcs.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>admin.site.register(Organizer)
admin.site.register(Teachers)
admin.site.register(Groups)
admin.site.register(Students)
admin.site.register(Subjects)
admin.site.register(Lessons)
admin.site.register(Reviews)
admin.site.register(Answers)
admin.site.register(Сriterions)
admin.site.register(СriterionAnswers)
... | code_fim | easy | {
"lang": "python",
"repo": "VicClone/reviews-for-teachers",
"path": "/reviews/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: VicClone/reviews-for-teachers path: /reviews/admin.py
from django.contrib import admin
from .models import *
<|fim_suffix|>admin.site.register(Organizer)
admin.site.register(Teachers)
admin.site.register(Groups)
admin.site.register(Students)
admin.site.register(Subjects)
admin.site.register(Less... | code_fim | easy | {
"lang": "python",
"repo": "VicClone/reviews-for-teachers",
"path": "/reviews/admin.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># for every dictionary on a list
for dict_student in list_dict_students:
if dict_student["middle"] != None: # student doesn't have a middle name registered on the database
print(dict_student["first"] + " " + dict_student["middle"] + " " +
dict_student["last"] + ", born " + str(d... | code_fim | hard | {
"lang": "python",
"repo": "marianamourao-37/Harvard-CS50-Projects",
"path": "/pset7/houses/roster.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: marianamourao-37/Harvard-CS50-Projects path: /pset7/houses/roster.py
# import libraries:
from sys import argv, exit
import cs50
# check incorrect usage
if len(argv) != 2:
print("Usage: python roster.py house_name")
exit(1)
<|fim_suffix|># for every dictionary on a list
for dict_student ... | code_fim | hard | {
"lang": "python",
"repo": "marianamourao-37/Harvard-CS50-Projects",
"path": "/pset7/houses/roster.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># opens database for interative manipulation within python
db = cs50.SQL("sqlite:///students.db")
# performs a query
list_dict_students = db.execute("SELECT first, middle, last, birth FROM students WHERE house = ? ORDER BY last, first", house_name)
# for every dictionary on a list
for dict_student in li... | code_fim | medium | {
"lang": "python",
"repo": "marianamourao-37/Harvard-CS50-Projects",
"path": "/pset7/houses/roster.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if tmp_sum == target:
res.append(tmp_list)
return
if tmp_sum > target or i == len(candidates):
return
for j in range(i, len(candidates)):
if j > i and candidates[j] == candidates[j - 1]:
... | code_fim | hard | {
"lang": "python",
"repo": "junyinglucn/leetcode",
"path": "/medium/40. Combination Sum II.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: junyinglucn/leetcode path: /medium/40. Combination Sum II.py
class Solution:
def combinationSum2(self, candidates: List[int], target: int) -> List[List[int]]:
<|fim_suffix|> if tmp_sum == target:
res.append(tmp_list)
return
if tmp_sum > t... | code_fim | hard | {
"lang": "python",
"repo": "junyinglucn/leetcode",
"path": "/medium/40. Combination Sum II.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def dfs(i, tmp_sum, tmp_list):
if tmp_sum == target:
res.append(tmp_list)
return
if tmp_sum > target or i == len(candidates):
return
for j in range(i, len(candidates)):
if j > i and candidates[j] ==... | code_fim | hard | {
"lang": "python",
"repo": "junyinglucn/leetcode",
"path": "/medium/40. Combination Sum II.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return sys.stdin.readline()[:-1]
def readnlines(n):
l = []
for i in range(n):
l.append(readline())
for curcase in range(1, int(readline())+1):
(n, k) = readline().split()
power = 2**int(n)
if (int(k) + 1) % power == 0:
print "Case #%d: ON" % (curcase)
else:
... | code_fim | medium | {
"lang": "python",
"repo": "Kawser-nerd/CLCDSA",
"path": "/Source Codes/CodeJamData/10/01/4.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def readnlines(n):
l = []
for i in range(n):
l.append(readline())
for curcase in range(1, int(readline())+1):
(n, k) = readline().split()
power = 2**int(n)
if (int(k) + 1) % power == 0:
print "Case #%d: ON" % (curcase)
else:
print "Case #%d: OFF" % (curcase... | code_fim | medium | {
"lang": "python",
"repo": "Kawser-nerd/CLCDSA",
"path": "/Source Codes/CodeJamData/10/01/4.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Kawser-nerd/CLCDSA path: /Source Codes/CodeJamData/10/01/4.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# (c) DDPAlphaTiger1 2009
# Will be under GPL after the end of GCJ
# Under no-use-by-anyone-else-than-me license until then :D
# ***** *****
# Thanks for reading my weird code !
# ***** **... | code_fim | medium | {
"lang": "python",
"repo": "Kawser-nerd/CLCDSA",
"path": "/Source Codes/CodeJamData/10/01/4.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>n=%s --train_color=%s --test_color=%s --data=%s'%(folder,node_dim,sampling, train_graph, test_graph, train_min_n, train_max_n, test_min_n, test_max_n, train_color, test_color, data_name))
file_id +=1
print("%d data files are successfully generated." %file_id)<|fim_prefix|># repo: anhnt2407/nn-extrapol... | code_fim | hard | {
"lang": "python",
"repo": "anhnt2407/nn-extrapolate",
"path": "/graph_algorithms/sample_scripts/sample_maxdeg_uniform.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: anhnt2407/nn-extrapolate path: /graph_algorithms/sample_scripts/sample_maxdeg_uniform.py
import os
folder = 'data'
node_dim = 3
sampling = 'uniform'
train_graphs = ['path', 'cycle', 'ladder', '4regular', 'complete', 'tree', 'expander', 'general']
test_graph = 'general'
train_min_n = 20
train_ma... | code_fim | hard | {
"lang": "python",
"repo": "anhnt2407/nn-extrapolate",
"path": "/graph_algorithms/sample_scripts/sample_maxdeg_uniform.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: turtlegraphics/advent-of-code-2018 path: /day25/solve.py
import sys
if len(sys.argv) > 1:
filename = sys.argv[1]
data = open(filename).readlines()
points = [tuple([int(x) for x in l.strip().split(',')]) for l in data]
<|fim_suffix|> (x1,y1,z1,w1) = p1
(x2,y2,z2,w2) = p2
return ab... | code_fim | medium | {
"lang": "python",
"repo": "turtlegraphics/advent-of-code-2018",
"path": "/day25/solve.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>constellations = []
for p in points:
belongs = []
for c in constellations:
if inconst(p,c):
belongs.append(c)
if len(belongs) == 0:
constellations.append([p])
elif len(belongs) == 1:
belongs[0].append(p)
else:
# belongs to more than one
... | code_fim | hard | {
"lang": "python",
"repo": "turtlegraphics/advent-of-code-2018",
"path": "/day25/solve.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ShaneZTH/adidas-account-gen path: /test.py
import json
class tester():
def __init__(self):
"""
Deals with user entered emails
"""
with open('info.json') as file:
self.info = json.load(file)
file.close()
self.count = 0
<|fim_suffix|> print(self.in... | code_fim | easy | {
"lang": "python",
"repo": "ShaneZTH/adidas-account-gen",
"path": "/test.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
test = tester()
test.run()<|fim_prefix|># repo: ShaneZTH/adidas-account-gen path: /test.py
import json
class tester():
def __init__(self):
<|fim_middle|> """
Deals with user entered emails
"""
with open('info.json') as file:
self.info = json.l... | code_fim | hard | {
"lang": "python",
"repo": "ShaneZTH/adidas-account-gen",
"path": "/test.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return next_write_use["waiting_write"]
def declare_last_write_use(instruction):
next_write_use["last_instruction_to_write"] = instruction
next_write_use["waiting_write"] = True
def concede_right_to_use(instruction):
if next_write_use["last_... | code_fim | hard | {
"lang": "python",
"repo": "marcelocra/ita-mips-simulator",
"path": "/src/register.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: marcelocra/ita-mips-simulator path: /src/register.py
class Register():
def __init__(self):
value = {1: 0}
next_write_use = {"last_instruction_to_write": None,
"waiting_write": False}
<|fim_suffix|> def declare_last_write_use(instruction):
... | code_fim | hard | {
"lang": "python",
"repo": "marcelocra/ita-mips-simulator",
"path": "/src/register.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if next_write_use["last_instruction_to_write"] == instruction:
next_write_use["waiting_write"] = False
self.write = write
self.get_value = use
self.is_waiting_for_use = is_waiting_for_use
self.declare_last_write_use = declare_last_write_use
... | code_fim | hard | {
"lang": "python",
"repo": "marcelocra/ita-mips-simulator",
"path": "/src/register.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xinsec/python-framework path: /djangoapp/djangoapp/tasks/tasks.py
# -*- coding: UTF-8 -*-
"""
celery启动时会自动扫描tasks.py 这个文件,
使用时需要导入子模块
"""
from celery import platforms
<|fim_suffix|># 开启超级管理员使用模式
platforms.C_FORCE_ROOT = True<|fim_middle|># 导入任务子模块
from .task_a import *
from .task_b import *
| code_fim | easy | {
"lang": "python",
"repo": "xinsec/python-framework",
"path": "/djangoapp/djangoapp/tasks/tasks.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># 开启超级管理员使用模式
platforms.C_FORCE_ROOT = True<|fim_prefix|># repo: xinsec/python-framework path: /djangoapp/djangoapp/tasks/tasks.py
# -*- coding: UTF-8 -*-
"""
celery启动时会自动扫描tasks.py 这个文件,
使用时需要导入子模块
"""
<|fim_middle|>from celery import platforms
# 导入任务子模块
from .task_a import *
from .task_b import *
| code_fim | medium | {
"lang": "python",
"repo": "xinsec/python-framework",
"path": "/djangoapp/djangoapp/tasks/tasks.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: o2edu/MathsExams path: /maths/questions/tests/test_sketch_misc.py
from maths.questions import sketch_misc, relationships
from maths.latex.questions import QuestionTree
from .question_tester import question_tester
import pytest
<|fim_suffix|> question = relationships.parse_structure(sketch_mi... | code_fim | easy | {
"lang": "python",
"repo": "o2edu/MathsExams",
"path": "/maths/questions/tests/test_sketch_misc.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> question = relationships.parse_structure(sketch_misc)
question_tester(question)<|fim_prefix|># repo: o2edu/MathsExams path: /maths/questions/tests/test_sketch_misc.py
from maths.questions import sketch_misc, relationships
from maths.latex.questions import QuestionTree
from .question_tester import... | code_fim | easy | {
"lang": "python",
"repo": "o2edu/MathsExams",
"path": "/maths/questions/tests/test_sketch_misc.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert len(unpaired_msa[0].splitlines()) == lines
assert paired_msa is None
assert query_seqs_unique == [Q60262]
assert query_seqs_cardinality == [1]
assert caplog.messages == []<|fim_prefix|># repo: sokrypton/ColabFold path: /tests/test_msa.py
from unittest import mo... | code_fim | hard | {
"lang": "python",
"repo": "sokrypton/ColabFold",
"path": "/tests/test_msa.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sokrypton/ColabFold path: /tests/test_msa.py
from unittest import mock
from colabfold.batch import get_msa_and_templates
from tests.mock import MMseqs2Mock
def test_get_msa_and_templates(pytestconfig, caplog, tmp_path):
Q60262 = "MEIIALLIEEGIIIIKDKKVAERFLKDLESSQGMDWKEIRERAERAKKQLEEGIEWAKKT... | code_fim | hard | {
"lang": "python",
"repo": "sokrypton/ColabFold",
"path": "/tests/test_msa.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_fields_names(self):
# make a list of fields.
return [field.verbose_name for field in Run._meta.fields]
def get_fields(self):
# make a list of fields/values.
return [(field.verbose_name, field.value_to_string(self)) for field in Run._meta.fields]
def ge... | code_fim | hard | {
"lang": "python",
"repo": "smheidrich/RFWeb",
"path": "/rfweb/rfwebapp/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Run(models.Model, object):
id = models.AutoField(primary_key=True)
task = models.ForeignKey(Task)
start = models.DateTimeField(auto_now_add=False, auto_now=False)
finish = models.DateTimeField(auto_now_add=False, auto_now=False, null=True)
hwaddr = models.BigIntegerField(null=Tru... | code_fim | hard | {
"lang": "python",
"repo": "smheidrich/RFWeb",
"path": "/rfweb/rfwebapp/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: smheidrich/RFWeb path: /rfweb/rfwebapp/models.py
from django.db import models
from rfweb.settings import RESULTS_URL, RESULTS_PATH
import os
LOG_TYPE = (
(0, 'Start suite'),
(1, 'Start test'),
(2, 'Start keyword'),
(3, 'End suite'),
(4, 'End test'),
(5, 'End keyword'),
... | code_fim | hard | {
"lang": "python",
"repo": "smheidrich/RFWeb",
"path": "/rfweb/rfwebapp/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>for i in range(len(vectors)):
for j in range(len(vectors)):
# consine distance
dist = (vectors[i]*vectors[j]).sum().item()
print(images[i], images[j], dist)
print('-------------')<|fim_prefix|># repo: chunhuizhang/bilibili_vlogs path: /cv/image_similarity/cnn/feature_simil... | code_fim | hard | {
"lang": "python",
"repo": "chunhuizhang/bilibili_vlogs",
"path": "/cv/image_similarity/cnn/feature_similarity.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chunhuizhang/bilibili_vlogs path: /cv/image_similarity/cnn/feature_similarity.py
import random
import torch
from cv.image_similarity.cnn.build_models import IR_50, IR_101, IR_152
import torchvision
import os
from PIL import Image
to_torch_tensor = torchvision.transforms.Compose([torchvision.tra... | code_fim | medium | {
"lang": "python",
"repo": "chunhuizhang/bilibili_vlogs",
"path": "/cv/image_similarity/cnn/feature_similarity.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># The model is trained for 25 epochs with batch_size of 15
model.fit(x_train,y_train,batch_size=15,epochs=25)
# Evaluating model for test dataset
pred_nn=model.evaluate(x_test,y_test)
predic = model.predict(x_test)
y_test = pd.DataFrame(y_test)
res_NN = confusion_matrix(y_test,predic.round())
# confusi... | code_fim | medium | {
"lang": "python",
"repo": "AbhishekBasu-14/Breast_Cancer_Detection",
"path": "/CNN/NN_model_training.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># spliting the dataset into training and testing datasets
x_train,x_test,y_train,y_test = train_test_split(X,Y,test_size=0.3,random_state=0)
# Feature Scaling
sc = StandardScaler()
x_train = sc.fit_transform(x_train)
x_test = sc.transform(x_test)
# Creating a model with 5 layers
# Activation function sig... | code_fim | hard | {
"lang": "python",
"repo": "AbhishekBasu-14/Breast_Cancer_Detection",
"path": "/CNN/NN_model_training.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AbhishekBasu-14/Breast_Cancer_Detection path: /CNN/NN_model_training.py
# -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
import keras
from keras.models import Sequential
from keras.layers import Dense,Dropout
import tensorflow as tf
import matplotlib.pyplot as plt
import seaborn as... | code_fim | hard | {
"lang": "python",
"repo": "AbhishekBasu-14/Breast_Cancer_Detection",
"path": "/CNN/NN_model_training.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 输入用户名
driver.find_element_by_name('username').clear()
driver.find_element_by_name('username').send_keys(username)
# 输入密码
driver.find_element_by_name('password').clear()
driver.find_element_by_name('password').send_keys(password)
# 点击登录
driv... | code_fim | medium | {
"lang": "python",
"repo": "zhangsong1417/xx",
"path": "/Python_script/51zxw/Test_Module/LoginClass_para.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zhangsong1417/xx path: /Python_script/51zxw/Test_Module/LoginClass_para.py
from selenium import webdriver
from time import sleep
class Login():
def user_login(self, driver, username, password):
<|fim_suffix|> driver.find_element_by_link_text('退出').click()
sleep(5)
# 退... | code_fim | hard | {
"lang": "python",
"repo": "zhangsong1417/xx",
"path": "/Python_script/51zxw/Test_Module/LoginClass_para.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: samul3096/vehicleDetectCountTrafficControl- path: /ardu_tk.py
import serial
import po2
ard_srl=serial.Serial('com6',9600)
print ard_srl.readline()
print ("Enter 1 to ON and 0 to OFF")
while 1:
in_data=raw_input()
print "you entered", in_data
<|fim_suffix|> if (in_data == '0'):
... | code_fim | medium | {
"lang": "python",
"repo": "samul3096/vehicleDetectCountTrafficControl-",
"path": "/ardu_tk.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if (in_data == '0'):
ard_srl.write('0')
print ("LED OFF")<|fim_prefix|># repo: samul3096/vehicleDetectCountTrafficControl- path: /ardu_tk.py
import serial
import po2
ard_srl=serial.Serial('com6',9600)
print ard_srl.readline()
print ("Enter 1 to ON and 0 to OFF")
<|fim_middle|>while 1... | code_fim | medium | {
"lang": "python",
"repo": "samul3096/vehicleDetectCountTrafficControl-",
"path": "/ardu_tk.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kimmc6008/DP path: /DP__prime/DayPlanner/urls.py
from django.urls import path
from . import views
urlpatterns = [
path('', views.home, name='home'),
path('new_search', views.new_search, name='new_search'),
path('list_delete', views.deleteMarkEight, name='delete_list'),
path('list... | code_fim | medium | {
"lang": "python",
"repo": "kimmc6008/DP",
"path": "/DP__prime/DayPlanner/urls.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>teMarkEight, name='create_list'),
path('list_update', views.updateMarkEight, name='update_list'),
path('register', views.registerPage, name='register'),
path('login', views.loginPage, name='login'),
path('logout', views.logoutUser, name='logout'),
]<|fim_prefix|># repo: kimmc6008/DP path:... | code_fim | medium | {
"lang": "python",
"repo": "kimmc6008/DP",
"path": "/DP__prime/DayPlanner/urls.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.sampling_offsets.bias.data = grid_init.view(-1)
constant_init(self.attention_weights, val=0., bias=0.)
xavier_init(self.value_proj, distribution='uniform', bias=0.)
xavier_init(self.output_proj, distribution='uniform', bias=0.)
self._is_init = True
d... | code_fim | hard | {
"lang": "python",
"repo": "OpenDriveLab/UniAD",
"path": "/projects/mmdet3d_plugin/uniad/modules/spatial_cross_attention.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if value is None:
value = query
if identity is None:
identity = query
if query_pos is not None:
query = query + query_pos
if not self.batch_first:
# change to (bs, num_query ,embed_dims)
query = query.per... | code_fim | hard | {
"lang": "python",
"repo": "OpenDriveLab/UniAD",
"path": "/projects/mmdet3d_plugin/uniad/modules/spatial_cross_attention.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OpenDriveLab/UniAD path: /projects/mmdet3d_plugin/uniad/modules/spatial_cross_attention.py
r import force_fp32, auto_fp16
from mmcv.runner.base_module import BaseModule, ModuleList, Sequential
from mmcv.utils import ext_loader
from .multi_scale_deformable_attn_function import MultiScaleDef... | code_fim | hard | {
"lang": "python",
"repo": "OpenDriveLab/UniAD",
"path": "/projects/mmdet3d_plugin/uniad/modules/spatial_cross_attention.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def main(_):
c_time = time.strftime('%Y%m%d_%H%M', time.localtime())
args = parse_arg()
update_config(args, c_time)
# logging the configurations for display
logging.info(cfg)
if args.test:
pdb.set_trace()
data_dir = cfg.DATA_DIR
set_names = cfg.set_names
... | code_fim | hard | {
"lang": "python",
"repo": "tomarraj008/AQUAA",
"path": "/train.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tomarraj008/AQUAA path: /train.py
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import pdb, pprint, argparse, json
import warnings
import tensorflow as tf
from os.path import join as pjoin
import numpy as np
from utils.read_... | code_fim | hard | {
"lang": "python",
"repo": "tomarraj008/AQUAA",
"path": "/train.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
Create a vocab dictionary for mapping words to embeddings
'''
# vocab_path = 'amazon/vocab.dat'
if tf.gfile.Exists(vocab_path):
rev_vocab = []
with tf.gfile.GFile(vocab_path, "rb") as f:
rev_vocab.extend(f.readlines())
rev_vocab = [line.strip... | code_fim | hard | {
"lang": "python",
"repo": "tomarraj008/AQUAA",
"path": "/train.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chocolate1337/python_base path: /lesson_006/02_snowfall_module.py
# -*- coding: utf-8 -*-
import simple_draw as sd
from snowfall import create_snowflake, draw_snowflake, move_snowflake, number_low_snowflake, delete_snowflake
<|fim_suffix|>n = 10
create_snowflake(n)
while True:
sd.start_drawi... | code_fim | hard | {
"lang": "python",
"repo": "chocolate1337/python_base",
"path": "/lesson_006/02_snowfall_module.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>n = 10
create_snowflake(n)
while True:
sd.start_drawing()
draw_snowflake(sd.background_color)
move_snowflake()
draw_snowflake(sd.COLOR_WHITE)
sd.finish_drawing()
fallen = number_low_snowflake()
if fallen:
delete_snowflake(fallen)
fallen.clear()
sd.sleep(0.01... | code_fim | hard | {
"lang": "python",
"repo": "chocolate1337/python_base",
"path": "/lesson_006/02_snowfall_module.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PeterGrainfield/AltCoder path: /py/arc118_a.py
t, N = map(int, input().split())
cnt = 0
s<|fim_suffix|> == 0:
print(s * (100 + t) // 100 - 1)
else:
print((s+1) * (100 + t) // 100 - 1)<|fim_middle|>, sp = divmod(100*N, t)
# print(s, sp)
if sp | code_fim | easy | {
"lang": "python",
"repo": "PeterGrainfield/AltCoder",
"path": "/py/arc118_a.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> == 0:
print(s * (100 + t) // 100 - 1)
else:
print((s+1) * (100 + t) // 100 - 1)<|fim_prefix|># repo: PeterGrainfield/AltCoder path: /py/arc118_a.py
t, N = map(int, input().split())
cnt = 0
s<|fim_middle|>, sp = divmod(100*N, t)
# print(s, sp)
if sp | code_fim | easy | {
"lang": "python",
"repo": "PeterGrainfield/AltCoder",
"path": "/py/arc118_a.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Thymolzzw/demo_django2 path: /demo_django/wiki/wiki.py
from lxml import etree
import urllib.request
import urllib.parse
def query(content):
# 请求地址
url = 'https://en.wikipedia.org/wiki/' + urllib.parse.quote(content)
# print("url", url)
# 请求头部
headers = {
'User-Age... | code_fim | hard | {
"lang": "python",
"repo": "Thymolzzw/demo_django2",
"path": "/demo_django/wiki/wiki.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # print("ouput", obj_list)
# # 在所有的子节点对象中获取有用的 <p> 节点对象
# for i in range(0,len(obj_list)):
# if 'p' == obj_list[i].tag:
# start = i
# break
# print("开始：", i)
# for i in range(start,len(obj_list)):
# if 'p' != obj_list[i].tag:
# end =... | code_fim | hard | {
"lang": "python",
"repo": "Thymolzzw/demo_django2",
"path": "/demo_django/wiki/wiki.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.delay = 0
#Grabs host and port on handshake
def grab_host(self, packet):
self.host = packet.data['host']
self.port = packet.data['port']<|fim_prefix|># repo: micropsi-industries/spock path: /plugins/ReConnect.py
"""
Hilariously out of date, I'll update this when it's not 3:30 in the morning... | code_fim | hard | {
"lang": "python",
"repo": "micropsi-industries/spock",
"path": "/plugins/ReConnect.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: micropsi-industries/spock path: /plugins/ReConnect.py
"""
Hilariously out of date, I'll update this when it's not 3:30 in the morning
In the meantime, go look at plugins in spock.net.plugins for more up-to-date plugin examples
"""
from spock.mcp.mcpacket import Packet
from spock.net.cflags impor... | code_fim | medium | {
"lang": "python",
"repo": "micropsi-industries/spock",
"path": "/plugins/ReConnect.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ Rebind the workflow instance bound to the given 'old' record IDs to
the given 'new' IDs. (``old_new_ids`` is a list of pairs ``(old, new)``.
"""
from odoo.addons.vneuron_workflow_odoo import workflow
... | code_fim | hard | {
"lang": "python",
"repo": "hassanfadl/addons-2",
"path": "/vneuron_workflow_odoo/base_model_extend.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hassanfadl/addons-2 path: /vneuron_workflow_odoo/base_model_extend.py
from odoo import api, fields, models, _
import logging
from odoo.exceptions import ValidationError
_logger = logging.getLogger(__name__)
_schema = logging.getLogger(__name__ + '.schema')
_unlink = logging.getLogger(__name__ + '... | code_fim | hard | {
"lang": "python",
"repo": "hassanfadl/addons-2",
"path": "/vneuron_workflow_odoo/base_model_extend.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Salvatore-Rendo/caesar-cipher path: /caesar-cli.py
# The Encryption Function
def cipher_encrypt(plaintext, key):
encrypted_text = ""
for char in plaintext:
if char.isupper(): #check if it's an uppercase character
char_index = ord(char) - ord('A')
# shi... | code_fim | hard | {
"lang": "python",
"repo": "Salvatore-Rendo/caesar-cipher",
"path": "/caesar-cli.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> #retrivering command
number = input ( "Enter 1 or 2 : ")
#Encryption
if number == "1":
correct_number= True
correct_input = False
while correct_input == False:
plaintext = input("ENCRYPTION:\nEnter the plaintext that you want to Encrypt: ")
... | code_fim | hard | {
"lang": "python",
"repo": "Salvatore-Rendo/caesar-cipher",
"path": "/caesar-cli.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> decrypted_text += c_og
elif char.isdigit():
# if it's a number,shift its actual value
c_og = (int(char) - key) % 10
decrypted_text += str(c_og)
else:
# if its neither alphabetical nor a number, just leave it like that
... | code_fim | hard | {
"lang": "python",
"repo": "Salvatore-Rendo/caesar-cipher",
"path": "/caesar-cli.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Fabricourt/Web-Theme-Editor-Clone-Wix.com- path: /restaurant/migrations/0003_auto_20190506_0035.py
# Generated by Django 2.2.1 on 2019-05-05 19:05
<|fim_suffix|> dependencies = [
('restaurant', '0002_restdb_brandimg'),
]
operations = [
migrations.AlterField(
... | code_fim | medium | {
"lang": "python",
"repo": "Fabricourt/Web-Theme-Editor-Clone-Wix.com-",
"path": "/restaurant/migrations/0003_auto_20190506_0035.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='restdb',
name='brandimg',
field=models.ImageField(blank=True, default='/static/restaurant/img/logo.png', null=True, upload_to='images/'),
),
]<|fim_prefix|># repo: Fabricourt/Web-Theme-Editor-Clon... | code_fim | medium | {
"lang": "python",
"repo": "Fabricourt/Web-Theme-Editor-Clone-Wix.com-",
"path": "/restaurant/migrations/0003_auto_20190506_0035.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
('restaurant', '0002_restdb_brandimg'),
]
operations = [
migrations.AlterField(
model_name='restdb',
name='brandimg',
field=models.ImageField(blank=True, default='/static/restaurant/img/logo.png', null=True, upload_to='imag... | code_fim | easy | {
"lang": "python",
"repo": "Fabricourt/Web-Theme-Editor-Clone-Wix.com-",
"path": "/restaurant/migrations/0003_auto_20190506_0035.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ Checks to see if the input filenames exist as objects in S3
Returns:
(list)
Filtered list containing string paths of filenames that exist as objects in S3
Or False if no files found
"""
objects = s3.list_objects(Bucket=BUCKET, Prefix=TRAIN_SET_PATH)
if objec... | code_fim | hard | {
"lang": "python",
"repo": "jolin1337/Text2Abstract",
"path": "/serverless-sagemaker-orchestration/lambda_functions/check_data.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jolin1337/Text2Abstract path: /serverless-sagemaker-orchestration/lambda_functions/check_data.py
import datetime
import boto3
import json
import os
# Prefix to give to training jobs, models, and endpoint configs, and endpoint name
MODEL_PREFIX = os.environ['MODEL_PREFIX']
# Name of bucket cont... | code_fim | hard | {
"lang": "python",
"repo": "jolin1337/Text2Abstract",
"path": "/serverless-sagemaker-orchestration/lambda_functions/check_data.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Upsample and incorporating residuals
for residual_layer in reversed(residual_layers):
target_shape = [residual_layer.shape[1], residual_layer.shape[2]]
upsampled = tf.image.resize_nearest_neighbor(images=last_layer, size=target_shape)
last_layer = residual_layer + upsampl... | code_fim | hard | {
"lang": "python",
"repo": "viayeqian/FaceReconstruction",
"path": "/hourglass2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: viayeqian/FaceReconstruction path: /hourglass2.py
import tensorflow as tf
'''
Residual Block from figure 3
https://arxiv.org/pdf/1603.06937.pdf
'''
def res_block(x,channels=256,kernel_size=3, activation=tf.nn.leaky_relu):
result = tf.layers.conv2d(inputs=x, filters=channels/2, kernel_size=[1... | code_fim | hard | {
"lang": "python",
"repo": "viayeqian/FaceReconstruction",
"path": "/hourglass2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>cnt = [0]*4
sol=0
for i in range(1, N):
for j in range(1, N):
cnt[0] = check(0, 0, i, j) # 1사분면
cnt[1] = check(0, j, i, N) # 2사분면
cnt[2] = check(i, 0, N, j) # 3분면
cnt[3] =check(i, j, N, N) #4분면
if cnt[0]==cnt[1] and cnt[1]==cnt[2] and cnt[2]==cnt[3] :
... | code_fim | medium | {
"lang": "python",
"repo": "seunghoon2334/TIL",
"path": "/algorithm/codexpert/과수원.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: seunghoon2334/TIL path: /algorithm/codexpert/과수원.py
import sys
sys.stdin = open("in.txt")
def check(si, sj, ei, ej):
cnt=0
for i in range(si, ei):
for j in range(sj, ej):
cnt+=arr[i][j]
return cnt
<|fim_suffix|>cnt = [0]*4
sol=0
for i in range(1, N):
for j in ... | code_fim | medium | {
"lang": "python",
"repo": "seunghoon2334/TIL",
"path": "/algorithm/codexpert/과수원.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.size == 0: # if list is empty
self.head = self.tail = new_node # make new_node both head and tail
else:
self.tail.next = new_node # place new_node after tail
new_node.prev = self.tail # place current tail before new_node
self.tai... | code_fim | hard | {
"lang": "python",
"repo": "chazkiker2/Data-Structures",
"path": "/doubly_linked_list/den_doubly_linked_list_02.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chazkiker2/Data-Structures path: /doubly_linked_list/den_doubly_linked_list_02.py
class ListNode:
"""
Each ListNode holds a reference to its previous node
as well as its next node in the List. That two-directional
reference is what allows for our DoublyLinkedList to be
doubly-... | code_fim | hard | {
"lang": "python",
"repo": "chazkiker2/Data-Structures",
"path": "/doubly_linked_list/den_doubly_linked_list_02.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def add_to_tail(self, value):
"""
Wraps the given value in a ListNode and inserts it
as the new tail of the list. Don't forget to handle
the old tail node's next pointer accordingly.
"""
new_node = ListNode(value)
if self.size == 0: # if list ... | code_fim | hard | {
"lang": "python",
"repo": "chazkiker2/Data-Structures",
"path": "/doubly_linked_list/den_doubly_linked_list_02.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Return a dmd root organizer such as "Systems". The acquisition path
will be cleaned so that it points directly to the root.
>>> dmd.Devices.Server.getDmdRoot("Systems")
<System at /zport/dmd/Systems>
"""
dmd = self.getDmd()
return dmd._... | code_fim | hard | {
"lang": "python",
"repo": "zenoss/zenoss-prodbin",
"path": "/Products/ZenModel/ZenModelBase.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zenoss/zenoss-prodbin path: /Products/ZenModel/ZenModelBase.py
createHierarchyObj, getHierarchyObj
from Products.ZenUtils.Utils import getObjByPath, unpublished
from Products.ZenUtils.csrf import get_csrf_token
from Products.ZenUtils.Utils import prepId as globalPrepId, isXmlRpc
from Products.Ze... | code_fim | hard | {
"lang": "python",
"repo": "zenoss/zenoss-prodbin",
"path": "/Products/ZenModel/ZenModelBase.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zenoss/zenoss-prodbin path: /Products/ZenModel/ZenModelBase.py
of tuples to create a bread crumbs
@rtype: list
>>> dmd.Devices.Server.breadCrumbs()
[('/zport/dmd/Devices', 'Devices'),
('/zport/dmd/Devices/Server', 'Server')]
"""
links = []
... | code_fim | hard | {
"lang": "python",
"repo": "zenoss/zenoss-prodbin",
"path": "/Products/ZenModel/ZenModelBase.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
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