text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> work = (inline_install(customer) for customer in customers)
coop = task.Cooperator()
# every time get 5 jobs as a batch
join = defer.DeferredList([coop.coiterate(work) for i in range(5)])
join.addCallback(lambda _: reactor.stop())
print("Bye from Twisted developer!")
twisted_deve... | code_fim | medium | {
"lang": "python",
"repo": "Bingwen-Hu/hackaway",
"path": "/books/learnScrapy/twisted/twisted_coordiate.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mikesparr/helpscout-to-hubspot-migration path: /helpscout_to_hubspot/loader.py
# loading via CSV for Hubspot
# https://knowledge.hubspot.com/articles/kcs_article/contacts/associate-records-via-import
<|fim_suffix|> return "See the README file for instructions on loading"<|fim_middle|>def help... | code_fim | easy | {
"lang": "python",
"repo": "mikesparr/helpscout-to-hubspot-migration",
"path": "/helpscout_to_hubspot/loader.py",
"mode": "psm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> return "See the README file for instructions on loading"<|fim_prefix|># repo: mikesparr/helpscout-to-hubspot-migration path: /helpscout_to_hubspot/loader.py
# loading via CSV for Hubspot
# https://knowledge.hubspot.com/articles/kcs_article/contacts/associate-records-via-import
<|fim_middle|>def help... | code_fim | easy | {
"lang": "python",
"repo": "mikesparr/helpscout-to-hubspot-migration",
"path": "/helpscout_to_hubspot/loader.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> outcome_number = (roll1-1) * 5 + (roll2-1) + 1
# if we hit an extraneous
# outcome we just re-roll
if outcome_number > 21:
continue
# our outcome was fine. return it!
return outcome_number % 7 + 1
print(rand7())<|fim_prefix|># repo: katchengl... | code_fim | medium | {
"lang": "python",
"repo": "katchengli/tech-interview-prep",
"path": "/interview_cake/ic38.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
while True:
# do our die rolls
roll1 = rand5()
roll2 = rand5()
outcome_number = (roll1-1) * 5 + (roll2-1) + 1
# if we hit an extraneous
# outcome we just re-roll
if outcome_number > 21:
continue
# our outcome was fine. re... | code_fim | medium | {
"lang": "python",
"repo": "katchengli/tech-interview-prep",
"path": "/interview_cake/ic38.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: katchengli/tech-interview-prep path: /interview_cake/ic38.py
import random
def rand5():
return random.randint(1, 5)
# Does not work because it is not a uniform distribution of randomness
def rand7bleh():
number = 0
while number < 1 or number > 23:
number = rand5() + rand5()... | code_fim | medium | {
"lang": "python",
"repo": "katchengli/tech-interview-prep",
"path": "/interview_cake/ic38.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> with open(os.path.join(output_dir,"simfin.com.csv"), newline='') as csvfile:
reader = list(csv.reader(csvfile, delimiter=',', quotechar='"'))
assert len(reader) == 12
for a in range(1,len(reader)):
assert reader[a][0] == files_to_be_found[a-1][0]
asser... | code_fim | medium | {
"lang": "python",
"repo": "Finance-Investissements/pdf-crawler",
"path": "/unit-test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert os.path.isdir(output_dir)
assert os.path.isfile(os.path.join(output_dir,"simfin.com.csv"))
with open(os.path.join(output_dir,"simfin.com.csv"), newline='') as csvfile:
reader = list(csv.reader(csvfile, delimiter=',', quotechar='"'))
assert len(reader) == 12
fo... | code_fim | medium | {
"lang": "python",
"repo": "Finance-Investissements/pdf-crawler",
"path": "/unit-test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Finance-Investissements/pdf-crawler path: /unit-test.py
import os
from shutil import rmtree
import csv
import crawler
# change this to your geckodriver path
gecko_path = "/Applications/MAMP/htdocs/simfin-ml/geckodriver"
output_dir = "unit_tests_files"
def test_crawl_rendered_all():
file... | code_fim | medium | {
"lang": "python",
"repo": "Finance-Investissements/pdf-crawler",
"path": "/unit-test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pad_len = total_len - len(data)
return data + pad_len * '\0'
def sa_in4(addr, port=0):
data = struct.pack("!H4s", port, addrconv.ipv4.text_to_bin(addr))
hdr = _hdr(_SIN_SIZE, socket.AF_INET)
return _pad_to(hdr + data, _SIN_SIZE)
def sa_in6(addr, port=0, flowinfo=0, scope_id=0):
... | code_fim | hard | {
"lang": "python",
"repo": "faucetsdn/ryu",
"path": "/ryu/lib/sockaddr.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: faucetsdn/ryu path: /ryu/lib/sockaddr.py
# Copyright (C) 2014 Nippon Telegraph and Telephone Corporation.
# Copyright (C) 2014 YAMAMOTO Takashi <yamamoto at valinux co jp>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the... | code_fim | hard | {
"lang": "python",
"repo": "faucetsdn/ryu",
"path": "/ryu/lib/sockaddr.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def _hdr(ss_len, af):
if _HAVE_SS_LEN:
return struct.pack(_HDR_FMT, ss_len, af)
else:
return struct.pack(_HDR_FMT, af)
def _pad_to(data, total_len):
pad_len = total_len - len(data)
return data + pad_len * '\0'
def sa_in4(addr, port=0):
data = struct.pack("!H4s", po... | code_fim | hard | {
"lang": "python",
"repo": "faucetsdn/ryu",
"path": "/ryu/lib/sockaddr.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: devilry/devilry-django path: /devilry/utils/graphviz/djangomodels.py
from inspect import getmodule
import re
from importlib import import_module
from django.db.models import fields
from django.db.models.base import ModelBase
from .dot import UmlClassLabel, Association, Node, Edge, UmlField
... | code_fim | hard | {
"lang": "python",
"repo": "devilry/devilry-django",
"path": "/devilry/utils/graphviz/djangomodels.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class ModelSet(set, GetIdMixin):
""" A set containing django db models, with methods to ease creating a
set of related models and all models in install apps. """
def __init__(self, pattern, *models):
super(ModelSet, self).__init__(*models)
self.patt = re.compile(pattern)
... | code_fim | hard | {
"lang": "python",
"repo": "devilry/devilry-django",
"path": "/devilry/utils/graphviz/djangomodels.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def add_installed_apps_models(self):
from django.conf import settings
for app in settings.INSTALLED_APPS:
try:
mod = import_module("%s.models" % app)
except ImportError as e:
continue
for name in dir(mod):
... | code_fim | hard | {
"lang": "python",
"repo": "devilry/devilry-django",
"path": "/devilry/utils/graphviz/djangomodels.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> data = BatchOperator.fromDataframe(df, schemaStr="row double, col string, val double")
op = TripleToCsvBatchOp()\
.setTripleRowCol("row")\
.setTripleColumnCol("col")\
.setTripleValueCol("val")\
.setCsvCol("csv")\
.setSche... | code_fim | medium | {
"lang": "python",
"repo": "vacaly/Alink",
"path": "/python/src/main/python/pyalink/alink/tests/examples/from_docs/test_tripletocsvbatchop.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vacaly/Alink path: /python/src/main/python/pyalink/alink/tests/examples/from_docs/test_tripletocsvbatchop.py
import unittest
from pyalink.alink import *
import numpy as np
import pandas as pd
class TestTripleToCsvBatchOp(unittest.TestCase):
<|fim_suffix|> df = pd.DataFrame([
[1... | code_fim | medium | {
"lang": "python",
"repo": "vacaly/Alink",
"path": "/python/src/main/python/pyalink/alink/tests/examples/from_docs/test_tripletocsvbatchop.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
'''
Train decision tree
:param self.all_syms: All permutations of input structures
:param self.site_is_active: 0 if inactive, 1 if active
'''
# Use this section for choosing hyperparameters
self.classifier = tree.DecisionTr... | code_fim | hard | {
"lang": "python",
"repo": "VlachosGroup/Structure-Optimization",
"path": "/OML/train_surrogate.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> mat.rcParams['mathtext.default'] = 'regular'
mat.rcParams['text.latex.unicode'] = 'False'
mat.rcParams['legend.numpoints'] = 1
mat.rcParams['lines.linewidth'] = 2
mat.rcParams['lines.markersize'] = 12
plt.figure()
... | code_fim | hard | {
"lang": "python",
"repo": "VlachosGroup/Structure-Optimization",
"path": "/OML/train_surrogate.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: VlachosGroup/Structure-Optimization path: /OML/train_surrogate.py
# Read X and Y and train the neural network
import numpy as np
import matplotlib as mat
import matplotlib.pyplot as plt
from sklearn import tree
from sklearn.neural_network import MLPClassifier
from sklearn.neural_network import... | code_fim | hard | {
"lang": "python",
"repo": "VlachosGroup/Structure-Optimization",
"path": "/OML/train_surrogate.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nmayorov/pyins path: /pyins/tests/test_util.py
import numpy as np
from numpy.testing import assert_allclose
from pyins import util
<|fim_suffix|> vec = np.array([
[0, 1, 2],
[-2, 3, 5]
])
check = np.array([
[-2, 3, 6],
[0, -2, 3]
])
assert_allcl... | code_fim | medium | {
"lang": "python",
"repo": "nmayorov/pyins",
"path": "/pyins/tests/test_util.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> vec = np.array([
[0, 1, 2],
[-2, 3, 5]
])
check = np.array([
[-2, 3, 6],
[0, -2, 3]
])
assert_allclose(util.skew_matrix(vec[0]) @ check[0],
np.cross(vec[0], check[0]))
assert_allclose(util.skew_matrix(vec[1]) @ check[1],
... | code_fim | medium | {
"lang": "python",
"repo": "nmayorov/pyins",
"path": "/pyins/tests/test_util.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sidson1/Hacktoberfest-2022 path: /Algorithms/quicksort.py
#QUICK SORT
from sys import stdin, stdout
# This function takes first element as pivot, places the pivot element at its correct position in sorted array,
# and places all smaller (smaller than pivot) to left of pivot and all greater elem... | code_fim | hard | {
"lang": "python",
"repo": "sidson1/Hacktoberfest-2022",
"path": "/Algorithms/quicksort.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
ar = list(map(int, stdin.readline().split()))
low, high = 0, len(ar)-1
QuickSort(ar, low, high)
print(*ar)<|fim_prefix|># repo: sidson1/Hacktoberfest-2022 path: /Algorithms/quicksort.py
#QUICK SORT
from sys import stdin, stdout
# This function takes first ele... | code_fim | hard | {
"lang": "python",
"repo": "sidson1/Hacktoberfest-2022",
"path": "/Algorithms/quicksort.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def QuickSort(ar, low, high):
if(len(ar) == 1):
return (ar)
if(low < high):
j = partition(ar, low, high)
QuickSort(ar, low, j-1)
QuickSort(ar, j+1, high)
if __name__ == "__main__":
ar = list(map(int, stdin.readline().split()))
low, high = 0, len(ar)-1
... | code_fim | hard | {
"lang": "python",
"repo": "sidson1/Hacktoberfest-2022",
"path": "/Algorithms/quicksort.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Dileepsingh96/jupyterhub path: /docs/test_docs.py
import sys
from pathlib import Path
from subprocess import run
from ruamel.yaml import YAML
yaml = YAML(typ="safe")
here = Path(__file__).absolute().parent
root = here.parent
def test_rest_api_version():
version_py = root.joinpath("jupyte... | code_fim | medium | {
"lang": "python",
"repo": "Dileepsingh96/jupyterhub",
"path": "/docs/test_docs.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_restapi_scopes():
run([sys.executable, "source/rbac/generate-scope-table.py"], cwd=here, check=True)
run(
['pre-commit', 'run', 'prettier', '--files', 'source/_static/rest-api.yml'],
cwd=here,
check=False,
)
run(
[
"git",
"d... | code_fim | hard | {
"lang": "python",
"repo": "Dileepsingh96/jupyterhub",
"path": "/docs/test_docs.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == '__main__':
tcp_server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
tcp_server_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, True)
tcp_server_socket.bind(('', 9000))
tcp_server_socket.listen(128)
while True:
service_client_socket, ip_po... | code_fim | hard | {
"lang": "python",
"repo": "youaresherlock/PythonPractice",
"path": "/Foundation/socket/tcp_server.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: youaresherlock/PythonPractice path: /Foundation/socket/tcp_server.py
#!usr/bin/python
# -*- coding:utf8 -*-
import socket
import threading
# 处理客户端的请求操作
def handle_client_request(service_client_socket, ip_port):
<|fim_suffix|>
if __name__ == '__main__':
tcp_server_socket = socket.socket(sock... | code_fim | hard | {
"lang": "python",
"repo": "youaresherlock/PythonPractice",
"path": "/Foundation/socket/tcp_server.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wso2/security-tools path: /external/django-DefectDojo-1.2.1/dojo/tools/dependencycheck/parser.py
import hashlib
from defusedxml import ElementTree
from dojo.models import Finding
import re
class DependencyCheckParser(object):
def get_field_value(self, parent_node, field_name):
field... | code_fim | hard | {
"lang": "python",
"repo": "wso2/security-tools",
"path": "/external/django-DefectDojo-1.2.1/dojo/tools/dependencycheck/parser.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, filename, test):
self.dupes = dict()
self.items = ()
if filename is None:
return
content = filename.read()
if content is None:
return
scan = ElementTree.fromstring(content)
scan = ElementTree.fromst... | code_fim | hard | {
"lang": "python",
"repo": "wso2/security-tools",
"path": "/external/django-DefectDojo-1.2.1/dojo/tools/dependencycheck/parser.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.dupes = dict()
self.items = ()
if filename is None:
return
content = filename.read()
if content is None:
return
scan = ElementTree.fromstring(content)
scan = ElementTree.fromstring(content)
regex = r"{.*}"
... | code_fim | hard | {
"lang": "python",
"repo": "wso2/security-tools",
"path": "/external/django-DefectDojo-1.2.1/dojo/tools/dependencycheck/parser.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>### option 1
write_api = client.write_api()
data = "mem,host=host1 used_percent=23.43234543 1556896326"
attempt_1 = write_api.write("bucketID", c.env_vars["INFLUXDB"]["BUCKET"], data)
###
### option 2
point = Point("mem")\
.tag("host", "host1")\
.field("used_percent", 23.43234543)
attempt_2 = write... | code_fim | medium | {
"lang": "python",
"repo": "lazycoderio/Locator-Performance-v2",
"path": "/influxdb.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lazycoderio/Locator-Performance-v2 path: /influxdb.py
import influxdb_client
from influxdb_client import InfluxDBClient
from config import Config
from influxdb_client import Point, WritePrecision
from datetime import datetime
<|fim_suffix|>### option 1
write_api = client.write_api()
data = "me... | code_fim | medium | {
"lang": "python",
"repo": "lazycoderio/Locator-Performance-v2",
"path": "/influxdb.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>### option 2
point = Point("mem")\
.tag("host", "host1")\
.field("used_percent", 23.43234543)
attempt_2 = write_api.write("bucketID", c.env_vars["INFLUXDB"]["BUCKET"], point)
###
print(write_api.)
print(attempt_1)
print(attempt_2)<|fim_prefix|># repo: lazycoderio/Locator-Performance-v2 path: /influ... | code_fim | medium | {
"lang": "python",
"repo": "lazycoderio/Locator-Performance-v2",
"path": "/influxdb.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: guillefix/nn-pacbayes path: /sandbox/sandbox_comp_bool.py
from complexities import calc_KC
funs=["10001000000000000000000000000000000010000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000", "111111111111111111111111111111110101111101111111011111110111111111... | code_fim | hard | {
"lang": "python",
"repo": "guillefix/nn-pacbayes",
"path": "/sandbox/sandbox_comp_bool.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>011111111111111111111111111111111101010101010101010101010101010101", "00110011001100110000000000000000001100110011001100000000000000000000000000000000000000000000000000000000000000000000000000000000", "00001111000011110000111100001111000011110000111100001111000011111111111111111111111111111111111111111111... | code_fim | hard | {
"lang": "python",
"repo": "guillefix/nn-pacbayes",
"path": "/sandbox/sandbox_comp_bool.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ld(default="", max_length=32, verbose_name="创建者")),
("updated_at", models.DateTimeField(auto_now=True, db_index=True, null=True, verbose_name="更新时间")),
("updated_by", models.CharField(blank=True, default="", max_length=32, verbose_name="修改者")),
("is_deleted"... | code_fim | hard | {
"lang": "python",
"repo": "jiazhizhong/bk-log",
"path": "/apps/log_databus/migrations/0016_archiveconfig_restoreconfig.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jiazhizhong/bk-log path: /apps/log_databus/migrations/0016_archiveconfig_restoreconfig.py
# Generated by Django 2.2.6 on 2021-08-18 11:25
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("log_databus", "0015_auto_20210813_1148"),
... | code_fim | hard | {
"lang": "python",
"repo": "jiazhizhong/bk-log",
"path": "/apps/log_databus/migrations/0016_archiveconfig_restoreconfig.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lorenzo-bioinfo/ms_data_analysis path: /scripts/06_get_snps.py
import requests
import pandas as pd
import re
#importing snps(void columns are omitted)
df = pd.read_excel('../database/db.xlsx', sheet_name = 'SM NM', usecols = 'LN:LV, LY, LZ, MC, MH, MN, MQ, MT, MZ, NA, NC, NF, NG, NL, NM, NO, NP, ... | code_fim | hard | {
"lang": "python",
"repo": "lorenzo-bioinfo/ms_data_analysis",
"path": "/scripts/06_get_snps.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>'''
f = open('./data/snp/snp_info.tsv', 'w')
f.write('id\tp\tfreq_p\tq\tfreq_q\n')
for snp in snp_list:
#formatting url to retrieve information about snp
url = 'https://www.ncbi.nlm.nih.gov/snp/{}'.format(snp)
#downloading html page with snp informations
print('Downloading {} page'.format(snp))
page ... | code_fim | hard | {
"lang": "python",
"repo": "lorenzo-bioinfo/ms_data_analysis",
"path": "/scripts/06_get_snps.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SuperGandhi/Desktop-application-Tkinter path: /user.py
#Importando librerias
from tkinter import *
from tkinter import messagebox
from tkinter import ttk
import sqlite3
from nltk import tree
#Desarrollo del GUI
root = Tk()
root.title('Ferreteria El Tornillo Feliz')
root.geometry("750x350")
id... | code_fim | hard | {
"lang": "python",
"repo": "SuperGandhi/Desktop-application-Tkinter",
"path": "/user.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> item= tree.identify('item', event.x, event.y)
id.set(tree.item(item,'text'))
dni.set(tree.item(item,'values')[0])
name.set(tree.item(item,'values')[1])
address.set(tree.item(item,'values')[2])
phone.set(tree.item(item,'values')[3])
tree.bind('<Double-1>', select_on_click)
def up... | code_fim | hard | {
"lang": "python",
"repo": "SuperGandhi/Desktop-application-Tkinter",
"path": "/user.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>l5 = Label(root, text= 'Dirección :')
l5.place(x=50, y=70)
e5 = Entry(root, textvariable=address, width=50)
e5.place(x=115, y=70)
l2 = Label(root, text= 'Teléfono :')
l2.place(x=50, y=100)
e2 = Entry(root, textvariable=phone, width=50)
e2.place(x=115, y=100)
# Botones
b1=Button(root, text='Registrar'... | code_fim | hard | {
"lang": "python",
"repo": "SuperGandhi/Desktop-application-Tkinter",
"path": "/user.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: edeposit/cz-urnnbn-api path: /src/cz_urnnbn_api/xml_composer.py
#! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# Interpreter version: python 2.7
#
"""
This module contains composers to allow creation of XML for URN:NBN, so you
don't have to create XML by hand.
See:
- http://resolver.nkp.cz... | code_fim | hard | {
"lang": "python",
"repo": "edeposit/cz-urnnbn-api",
"path": "/src/cz_urnnbn_api/xml_composer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> root = odict[
"r:import": odict[
"@xmlns:r": "http://resolver.nkp.cz/v3/",
"r:monograph": odict[
"r:titleInfo": odict[
"r:title": self.title,
],
],
]
]
... | code_fim | hard | {
"lang": "python",
"repo": "edeposit/cz-urnnbn-api",
"path": "/src/cz_urnnbn_api/xml_composer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>admin.site.register(Communication, CommunicationAdmin)<|fim_prefix|># repo: KristanArmstrong/CRM_Django_Project path: /crmapp/communications/admin.py
from django.contrib import admin
from .models import Communication
<|fim_middle|>class CommunicationAdmin(admin.ModelAdmin):
list_display = ('subject', '... | code_fim | medium | {
"lang": "python",
"repo": "KristanArmstrong/CRM_Django_Project",
"path": "/crmapp/communications/admin.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KristanArmstrong/CRM_Django_Project path: /crmapp/communications/admin.py
from django.contrib import admin
from .models import Communication
<|fim_suffix|> list_display = ('subject', 'uuid')
admin.site.register(Communication, CommunicationAdmin)<|fim_middle|>class CommunicationAdmin(admin.Model... | code_fim | easy | {
"lang": "python",
"repo": "KristanArmstrong/CRM_Django_Project",
"path": "/crmapp/communications/admin.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TaihuLight/FINN path: /tests/transformation/streamline/test_absorb_opposite_transposes.py
# Copyright (c) 2020, Xilinx
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * ... | code_fim | medium | {
"lang": "python",
"repo": "TaihuLight/FINN",
"path": "/tests/transformation/streamline/test_absorb_opposite_transposes.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> np.random.seed(0)
input_shape = [1, 3, 4, 2]
top_in = oh.make_tensor_value_info("top_in", TensorProto.FLOAT, input_shape)
top_out = oh.make_tensor_value_info("top_out", TensorProto.FLOAT, input_shape)
value_info = [oh.make_tensor_value_info("add_param_0", TensorProto.FLOAT, [1])]
v... | code_fim | medium | {
"lang": "python",
"repo": "TaihuLight/FINN",
"path": "/tests/transformation/streamline/test_absorb_opposite_transposes.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>import numpy as np
import onnx.helper as oh
from onnx import TensorProto
from qonnx.core.modelwrapper import ModelWrapper
from qonnx.transformation.infer_shapes import InferShapes
import finn.core.onnx_exec as ox
from finn.transformation.streamline.absorb import AbsorbConsecutiveTransposes
@pytest.mark... | code_fim | medium | {
"lang": "python",
"repo": "TaihuLight/FINN",
"path": "/tests/transformation/streamline/test_absorb_opposite_transposes.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lucashsg77/HotelsScrapperDjangoApi path: /api/views.py
from django.shortcuts import render
from rest_framework import generics
from .models import Hotel
from .serializers import HotelSerializer
<|fim_suffix|> queryset = Hotel.objects.all()
serializer_class = HotelSerializer
class HotelDetail(g... | code_fim | medium | {
"lang": "python",
"repo": "lucashsg77/HotelsScrapperDjangoApi",
"path": "/api/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> queryset = Hotel.objects.all()
serializer_class = HotelSerializer<|fim_prefix|># repo: lucashsg77/HotelsScrapperDjangoApi path: /api/views.py
from django.shortcuts import render
from rest_framework import generics
from .models import Hotel
from .serializers import HotelSerializer
<|fim_middle|># Creat... | code_fim | medium | {
"lang": "python",
"repo": "lucashsg77/HotelsScrapperDjangoApi",
"path": "/api/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: izot/smartserver-iot path: /apps/DCX Manager/src/P9000010600000000_4/profiles/groupCntrl.py
# Copyright (C) 2013-2023 Echelon Corporation. All Rights Reserved.
# Use of this code is subject to your compliance with the terms of the
# Echelon IzoT(tm) Software Developer's Kit License Agreement whi... | code_fim | hard | {
"lang": "python",
"repo": "izot/smartserver-iot",
"path": "/apps/DCX Manager/src/P9000010600000000_4/profiles/groupCntrl.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self):
super().__init__(
key=20011,
scope=4
)
self.datapoints['iLocalOvrd'] = izot.resources.base.Profile.DatapointMember(
doc="""Switch """,
name='iLocalOvrd',
profile=self,
number=1,
... | code_fim | hard | {
"lang": "python",
"repo": "izot/smartserver-iot",
"path": "/apps/DCX Manager/src/P9000010600000000_4/profiles/groupCntrl.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adityadangeska/lmc-base-classes path: /skabase/SKASubarray/SKASubarray/__init__.py
# -*- coding: utf-8 -*-
#
# This file is part of the SKASubarray project
#
#
#
"""SKASubarray
<|fim_suffix|>from . import release
from .SKASubarray import SKASubarray, main
__version__ = release.version
__versio... | code_fim | easy | {
"lang": "python",
"repo": "adityadangeska/lmc-base-classes",
"path": "/skabase/SKASubarray/SKASubarray/__init__.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>from . import release
from .SKASubarray import SKASubarray, main
__version__ = release.version
__version_info__ = release.version_info
__author__ = release.author<|fim_prefix|># repo: adityadangeska/lmc-base-classes path: /skabase/SKASubarray/SKASubarray/__init__.py
# -*- coding: utf-8 -*-
#
# This file... | code_fim | easy | {
"lang": "python",
"repo": "adityadangeska/lmc-base-classes",
"path": "/skabase/SKASubarray/SKASubarray/__init__.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SecureThemAll/cb-repair path: /src/utils/test_result.py
import re
import signal
pid_pattern = "# pid (\d{4,7})"
polls_failed_pattern = "# polls failed: (\d{1,4})"
pid_debug_pattern = "# \[DEBUG\] pid: (\d{1,7}), sig: (\d{1,2})"
pid_process_pattern = "# Process generated signal \(pid: (\d{1,7}), ... | code_fim | hard | {
"lang": "python",
"repo": "SecureThemAll/cb-repair",
"path": "/src/utils/test_result.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> match = re.search(pid_debug_pattern, self.result)
match2 = re.search(pid_process_pattern, self.result)
if match:
self.pids.append(match.group(1))
self.sig = int(match.group(2))
elif match2:
self.pids.append(match2.group(1))
s... | code_fim | hard | {
"lang": "python",
"repo": "SecureThemAll/cb-repair",
"path": "/src/utils/test_result.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: darongliu/qacnn_1d path: /feature.py
import os
import numpy as np
import jieba
from fuzzysearch import find_near_matches
from tqdm import tqdm
from difflib import SequenceMatcher
from sklearn.metrics.pairwise import cosine_similarity
from sklearn.feature_extraction.text import CountVectorizer
fr... | code_fim | hard | {
"lang": "python",
"repo": "darongliu/qacnn_1d",
"path": "/feature.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return accumulate_position/count
def get_position_feat(context_no_space, question, options, valid_length, max_error, margin_error):
pos_q = get_position(context_no_space, question, valid_length, max_error, margin_error)
all_feat = []
for op in options:
pos_op = get_position(contex... | code_fim | hard | {
"lang": "python",
"repo": "darongliu/qacnn_1d",
"path": "/feature.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># # append the string discription for the first site that matches
# weeknum = l[row]
# # o.append(datedict[weeknum])
# for s in np.arange(len(sites)):
# tmp = list(timearray[s])
# try:
# idx = tmp.index(we... | code_fim | hard | {
"lang": "python",
"repo": "pipitone/datman",
"path": "/bin/web-build.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pipitone/datman path: /bin/web-build.py
#!/usr/bin/env python
"""
This builds a Github Pages site using the phantom (and possibly other) QC
plots generated by datman, commits those changes, and finally pushes them
up to github. This way, the online dashboards can be updated automatically.
Usage:... | code_fim | hard | {
"lang": "python",
"repo": "pipitone/datman",
"path": "/bin/web-build.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return data
# def read_subj_qc_database(base_path):
# """
# """
# db = sqlite3.connect('{}/qc/subject-qc.db'.format(base_path))
# cur = db.cursor()
# fmri_cols = parse_db_cols(cur, 'fmri')
# dti_cols = parse_db_cols(cur, 'dti')
# fmri_subj = get_subjects(cur, 'fmri')
# ... | code_fim | hard | {
"lang": "python",
"repo": "pipitone/datman",
"path": "/bin/web-build.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pj0620/acca-video-series path: /accalib/table.py
from manimlib.imports import *
# not finished
class Table(VGroup):
CONFIG = {
"col_widths_array": None,
"first_row_height": None,
"row_height": None,
"col_alignment_array": None,
"first_row_alignment_ar... | code_fim | medium | {
"lang": "python",
"repo": "pj0620/acca-video-series",
"path": "/accalib/table.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def build_table(self):
pass
def build_params(self):
if self.col_widths_array is None:
self.col_widths_array = [mob.get_width()*1.1 for mob in self.entries[1]]<|fim_prefix|># repo: pj0620/acca-video-series path: /accalib/table.py
from manimlib.imports import *
# not ... | code_fim | medium | {
"lang": "python",
"repo": "pj0620/acca-video-series",
"path": "/accalib/table.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: brianwilt/Interview path: /maze/maze.py
from optparse import OptionParser
import sys
import random
# Solve mazes generated from http://www.delorie.com/game-room/mazes/genmaze.cgi
# Probably should make sure cells are size 2
class MazeSolver:
maze = []
visited = []
person_emoji_list ... | code_fim | hard | {
"lang": "python",
"repo": "brianwilt/Interview",
"path": "/maze/maze.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> new_dir = (point[0]+1, point[1])
if self._is_open_space(new_dir):
open_dirs.append(new_dir)
new_dir = (point[0], point[1]-1)
if self._is_open_space(new_dir):
open_dirs.append(new_dir)
new_dir = (point[0], point[1]+1)
if self._is_ope... | code_fim | hard | {
"lang": "python",
"repo": "brianwilt/Interview",
"path": "/maze/maze.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: blocknetdx/cc-api-check path: /src/chain/rpc.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from typing import Union, List
import decimal
import logging
import pprint
from chain.source import ChainSource
from chain.source import UTXO
from util.authproxy import AuthServiceProxy
log = loggin... | code_fim | hard | {
"lang": "python",
"repo": "blocknetdx/cc-api-check",
"path": "/src/chain/rpc.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def rpc_getaddressutxos(self, addresses: list) -> list:
"""Returns all unspent outputs for an address (requires addressindex to be enabled)
:return: rpc output
"""
return self._call_command(["getaddressutxos", {"addresses": addresses}])
def get_utxos(self, ticker... | code_fim | hard | {
"lang": "python",
"repo": "blocknetdx/cc-api-check",
"path": "/src/chain/rpc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: home-assistant/core path: /homeassistant/components/unifiprotect/models.py
"""The unifiprotect integration models."""
from __future__ import annotations
from collections.abc import Callable, Coroutine
from dataclasses import dataclass
from enum import Enum
import logging
from typing import TYPE_... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/homeassistant/components/unifiprotect/models.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>@dataclass
class ProtectSetableKeysMixin(ProtectRequiredKeysMixin[T]):
"""Mixin for settable values."""
ufp_set_method: str | None = None
ufp_set_method_fn: Callable[[T, Any], Coroutine[Any, Any, None]] | None = None
async def ufp_set(self, obj: T, value: Any) -> None:
"""Set val... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/homeassistant/components/unifiprotect/models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: laispa/2020.2-Projeto-Kokama-Wiki path: /scripts/planning_generator.py
import json
import sys
import datetime
class GithubUser:
"""Represent a github user from team 03
User is identified by a number, github username and name
"""
def __init__(self, number, username, name):
... | code_fim | hard | {
"lang": "python",
"repo": "laispa/2020.2-Projeto-Kokama-Wiki",
"path": "/scripts/planning_generator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def print_sprint_time(self):
self.f.write('## Tamanho da sprint\n\n')
self.f.write('| Início da sprint | Término da Sprint | Duração |\n')
self.f.write('|:---:|:---:|:---:|\n')
self.f.write(f'| {self.sprint_start} | {self.sprint_end} | {self.sprint_duration} dias |\n')
... | code_fim | hard | {
"lang": "python",
"repo": "laispa/2020.2-Projeto-Kokama-Wiki",
"path": "/scripts/planning_generator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mimilazarova/dd2412_project_fixmatch_and_beyond path: /augment.py
import tensorflow as tf
import numpy as np
from PIL import Image, ImageOps, ImageEnhance, ImageFilter
class CTAugment:
def __init__(self, n_classes, decay=0.99, threshold=0.85, depth=2, n_bins=17):
self.decay = decay... | code_fim | hard | {
"lang": "python",
"repo": "mimilazarova/dd2412_project_fixmatch_and_beyond",
"path": "/augment.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return aug_batch, batch_choices, batch_bins
def update_weights(self, label, pred, choices, bins):
label_one_hot = np.zeros(self.n_classes)
label_one_hot[label] = 1
#tf.math.abs(label - pred)
omega = 1 - 1 / (2 * self.... | code_fim | hard | {
"lang": "python",
"repo": "mimilazarova/dd2412_project_fixmatch_and_beyond",
"path": "/augment.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for k in range(self.depth):
w = self.AUG_DICT[choices[k]]["weight"][0]
# tmp = np.copy(w)
w[bins[k]["bin"]] = self.decay * w[bins[k]["bin"]] + (1 - self.decay) * omega
# print(tmp-w)
if choices[k] == "rescale":
w = self.A... | code_fim | hard | {
"lang": "python",
"repo": "mimilazarova/dd2412_project_fixmatch_and_beyond",
"path": "/augment.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cdunn6754/cdunnSite path: /ticTacToe/tests.py
from django.test import TestCase, Client
import json
from ticTacToe.views import MinimaxApiView
# Create your tests here.
class TestMinimax(TestCase):
def setUp(self):
<|fim_suffix|> """
Hit the minimax api and make sure the whole... | code_fim | hard | {
"lang": "python",
"repo": "cdunn6754/cdunnSite",
"path": "/ticTacToe/tests.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Should be able to give it an empty ttt board and get a
response of 0 for the first entry and then 4
"""
# empty board
board = "EEEEEEEEE"
res = MinimaxApiView.get_next_move(board, 'O')
self.assertEqual(res, 0)
board = "OE... | code_fim | medium | {
"lang": "python",
"repo": "cdunn6754/cdunnSite",
"path": "/ticTacToe/tests.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: asirobots/rclpy path: /rclpy/test/test_logging.py
# Copyright 2017 Open Source Robotics Foundation, Inc.
#
# 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://... | code_fim | hard | {
"lang": "python",
"repo": "asirobots/rclpy",
"path": "/rclpy/test/test_logging.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> message_was_logged = []
for i in range(5):
message_was_logged.append(rclpy.logging.log(
'message_' + inspect.stack()[0][3] + '_' + str(i),
LoggingSeverity.INFO,
skip_first=True,
))
self.assertEqual(message_was_... | code_fim | hard | {
"lang": "python",
"repo": "asirobots/rclpy",
"path": "/rclpy/test/test_logging.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
@property
@abstractmethod
def key_id(self):
pass
@property
@abstractmethod
def key_type(self):
pass
@property
def key_type_secmodule(self) -> int:
vs_type = consts.VSKeyTypeS(self.key_type)
t = consts.key_type_str_to_num_map.g... | code_fim | hard | {
"lang": "python",
"repo": "kutashenko/virgil-iotkit",
"path": "/tools/virgil-trust-provisioner/virgil_trust_provisioner/generators/keys/interface.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kutashenko/virgil-iotkit path: /tools/virgil-trust-provisioner/virgil_trust_provisioner/generators/keys/interface.py
from abc import ABC, abstractmethod
from virgil_trust_provisioner import consts
class KeyGeneratorInterface(ABC):
@abstractmethod
def generate(self, *,
... | code_fim | hard | {
"lang": "python",
"repo": "kutashenko/virgil-iotkit",
"path": "/tools/virgil-trust-provisioner/virgil_trust_provisioner/generators/keys/interface.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> @base.skip_test(
'SKIP_TRANSIENT_CLUSTER_TEST',
message='Test for transient cluster was skipped.')
def transient_cluster_testing(self, plugin_config, floating_ip_pool,
internal_neutron_net):
cluster_template_id = self.create_cluster_templat... | code_fim | hard | {
"lang": "python",
"repo": "hortonworksqe/sahara",
"path": "/sahara/tests/integration/tests/vanilla_transient_cluster.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> internal_neutron_net):
cluster_template_id = self.create_cluster_template(
name='test-transient-cluster-template-vanilla',
plugin_config=self.vanilla_config,
description=('test cluster template for transient cluster '
... | code_fim | hard | {
"lang": "python",
"repo": "hortonworksqe/sahara",
"path": "/sahara/tests/integration/tests/vanilla_transient_cluster.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hortonworksqe/sahara path: /sahara/tests/integration/tests/vanilla_transient_cluster.py
# Copyright (c) 2014 Mirantis Inc.
#
# 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 ... | code_fim | hard | {
"lang": "python",
"repo": "hortonworksqe/sahara",
"path": "/sahara/tests/integration/tests/vanilla_transient_cluster.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>@register.filter(name="qtesturl")
def qtesturl(question):
qset = question.questionset
return reverse("questionset",
args=("test:%s" % qset.questionnaire.id,
qset.sortid))<|fim_prefix|># repo: EbookFoundation/fef-questionnaire path: /questionnaire/templatetags/questionnaire... | code_fim | medium | {
"lang": "python",
"repo": "EbookFoundation/fef-questionnaire",
"path": "/questionnaire/templatetags/questionnaire.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> qset = question.questionset
return reverse("questionset",
args=("test:%s" % qset.questionnaire.id,
qset.sortid))<|fim_prefix|># repo: EbookFoundation/fef-questionnaire path: /questionnaire/templatetags/questionnaire.py
#!/usr/bin/python
from django import template
from dj... | code_fim | medium | {
"lang": "python",
"repo": "EbookFoundation/fef-questionnaire",
"path": "/questionnaire/templatetags/questionnaire.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: EbookFoundation/fef-questionnaire path: /questionnaire/templatetags/questionnaire.py
#!/usr/bin/python
from django import template
from django.urls import reverse
<|fim_suffix|> l = 2 + len(string.strip()) // 6
if l <= 4:
return "span-4"
if l <= 7:
return "span-7"
... | code_fim | hard | {
"lang": "python",
"repo": "EbookFoundation/fef-questionnaire",
"path": "/questionnaire/templatetags/questionnaire.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: IITDU-BSSE06/ads-demystifying-the-logs-Arafat123-iit path: /assignment2/reducer.py
#!/usr/bin/python
import sys
<|fim_suffix|> data_mapped = line.strip().split("\t")
if len(data_mapped) != 2:
continue
ip, rest = data_mapped
if '/assets/js/the-associates.js' in rest:
Total=Total+... | code_fim | easy | {
"lang": "python",
"repo": "IITDU-BSSE06/ads-demystifying-the-logs-Arafat123-iit",
"path": "/assignment2/reducer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> data_mapped = line.strip().split("\t")
if len(data_mapped) != 2:
continue
ip, rest = data_mapped
if '/assets/js/the-associates.js' in rest:
Total=Total+1
print str(Total)<|fim_prefix|># repo: IITDU-BSSE06/ads-demystifying-the-logs-Arafat123-iit path: /assignment2/reducer.py
#!/usr/bin/pyt... | code_fim | easy | {
"lang": "python",
"repo": "IITDU-BSSE06/ads-demystifying-the-logs-Arafat123-iit",
"path": "/assignment2/reducer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for _ in range(width):
if random.randrange(1, 101) < cactus_change:
cactus_output = cactus_output + ("C%02d" % (random.randrange(1, cactus_count + 1)))
else:
cactus_output = cactus_output + " "
for _ in range(width):
if random.randrange(1, 101) < aloe_change:
aloe_ou... | code_fim | hard | {
"lang": "python",
"repo": "JordyMoos/Talk-The-Tricks-of-Game-Programming-in-a-Pure-Functional-Language-Game-Version",
"path": "/engine/dist/images/oredev/world-3/generate_environment.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JordyMoos/Talk-The-Tricks-of-Game-Programming-in-a-Pure-Functional-Language-Game-Version path: /engine/dist/images/oredev/world-3/generate_environment.py
import random
width = 24
rock_change = 4
cactus_change = 15
aloe_change = 30
rock_count = 5
cactus_count = 12
aloe_count = 15
<|fim_suffix|... | code_fim | medium | {
"lang": "python",
"repo": "JordyMoos/Talk-The-Tricks-of-Game-Programming-in-a-Pure-Functional-Language-Game-Version",
"path": "/engine/dist/images/oredev/world-3/generate_environment.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # iterables
primes = (2, 3, 5, 7, 11)
test2 = product(*primes)
print(test2)<|fim_prefix|># repo: zubrik13/udacity_inter_py path: /lesson3-functional_programming/variadic_pos_args.py
def product(*nums, start=1):
running_product = start
for number in nums:
running_product *=... | code_fim | medium | {
"lang": "python",
"repo": "zubrik13/udacity_inter_py",
"path": "/lesson3-functional_programming/variadic_pos_args.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zubrik13/udacity_inter_py path: /lesson3-functional_programming/variadic_pos_args.py
def product(*nums, start=1):
running_product = start
for number in nums:
running_product *= number
return running_product
<|fim_suffix|> # iterables
primes = (2, 3, 5, 7, 11)
test2... | code_fim | medium | {
"lang": "python",
"repo": "zubrik13/udacity_inter_py",
"path": "/lesson3-functional_programming/variadic_pos_args.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Download model artifacts
target_dir = download_model_folder(config)
# Load model and tokenizer
model, tokenizer = load_model(target_dir, config)
# Run chatbot with GPT-2
run_chat(model, tokenizer, config)
if __name__ == '__main__':
main()<|fim_prefix|># repo: cerebroa... | code_fim | hard | {
"lang": "python",
"repo": "cerebroai/AskIt",
"path": "/interactive_bot.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Generate bot messages
bot_message = generate_response(model, tokenizer, history, config)
print("Bot >>>", bot_message)
turn['bot_messages'].append(bot_message)
def main():
# Script arguments can include path of the config
arg_parser = argparse.ArgumentParser()
... | code_fim | hard | {
"lang": "python",
"repo": "cerebroai/AskIt",
"path": "/interactive_bot.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cerebroai/AskIt path: /interactive_bot.py
# Copyright (c) polakowo
# Licensed under the MIT license.
import configparser
import argparse
import logging
from model import download_model_folder, load_model
from decoder import generate_response
# Enable logging
logging.basicConfig(format='%(asc... | code_fim | hard | {
"lang": "python",
"repo": "cerebroai/AskIt",
"path": "/interactive_bot.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ydl_opts = {}
with youtube_dl.YoutubeDL(ydl_opts) as ydl:
ydl.download([yt_url])<|fim_prefix|># repo: v-user1098new/video_search path: /video_search/utils.py
from __future__ import unicode_literals
import youtube_dl
<|fim_middle|>def download_youtube(yt_url, path, name):
| code_fim | easy | {
"lang": "python",
"repo": "v-user1098new/video_search",
"path": "/video_search/utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: v-user1098new/video_search path: /video_search/utils.py
from __future__ import unicode_literals
import youtube_dl
<|fim_suffix|> ydl_opts = {}
with youtube_dl.YoutubeDL(ydl_opts) as ydl:
ydl.download([yt_url])<|fim_middle|>
def download_youtube(yt_url, path, name):
| code_fim | easy | {
"lang": "python",
"repo": "v-user1098new/video_search",
"path": "/video_search/utils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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