text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>][0]+dp[i-2][0]
dp[i][1]=dp[i-1][1]+dp[i-2][1]
print(dp[N][0],dp[N][1])<|fim_prefix|># repo: DongHyunByun/algorithm_practice path: /dp/[boj]1003_피보나치함수_dp.py
T=int(input())
for t in range(T):
N=int(input())
if N==0:
print(1,0)
elif N==1:
print(0,1)
... | code_fim | medium | {
"lang": "python",
"repo": "DongHyunByun/algorithm_practice",
"path": "/dp/[boj]1003_피보나치함수_dp.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DongHyunByun/algorithm_practice path: /dp/[boj]1003_피보나치함수_dp.py
T=int(input())
for t in range(T):
N=int(input())
if N==0:
print(1,0)
<|fim_suffix|>][0]+dp[i-2][0]
dp[i][1]=dp[i-1][1]+dp[i-2][1]
print(dp[N][0],dp[N][1])<|fim_middle|> elif N==1:
... | code_fim | medium | {
"lang": "python",
"repo": "DongHyunByun/algorithm_practice",
"path": "/dp/[boj]1003_피보나치함수_dp.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
strategy = 'reloc_flexi'
filename = os.path.join(DATA_DIR, strategy + "_strategy_actions.dill")
with open(filename, 'rb') as f:
strategy_actions = dill.load(f)
surge = strategy_actions['surge']
N = strategy_actions['N']
B = strategy_actions['B']
... | code_fim | hard | {
"lang": "python",
"repo": "vivekanon/uber-driver-strategy",
"path": "/src/python/simulator/simulator_driver.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vivekanon/uber-driver-strategy path: /src/python/simulator/simulator_driver.py
#!/usr/local/bin/python
"""
Simualtor driver
"""
from __future__ import division
import sys
sys.path.insert(1, '..')
<|fim_suffix|> surge = strategy_actions['surge']
N = strategy_actions['N']
B = strategy... | code_fim | hard | {
"lang": "python",
"repo": "vivekanon/uber-driver-strategy",
"path": "/src/python/simulator/simulator_driver.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AlexzanderIvanov/saleor path: /saleor/checkout/views/__init__.py
from django.shortcuts import redirect
from django.template.response import TemplateResponse
from ..forms import ShippingMethodForm
from .discount import add_voucher_form
from .validators import (
validate_cart, validate_shippin... | code_fim | hard | {
"lang": "python",
"repo": "AlexzanderIvanov/saleor",
"path": "/saleor/checkout/views/__init__.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if checkout.is_shipping_required:
view = validate_shipping_address(summary_with_shipping_view)
view = validate_shipping_method(view)
return view(request, checkout)
elif request.user.is_authenticated():
return summary_without_shipping(request, checkout)
else:
... | code_fim | hard | {
"lang": "python",
"repo": "AlexzanderIvanov/saleor",
"path": "/saleor/checkout/views/__init__.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> notifier = ResultNotifier()
real_ustaw_dyscypline(pole, elements, notifier)
return notifier.retbuf<|fim_prefix|># repo: iplweb/bpp path: /src/rozbieznosci_dyscyplin/tasks.py
from celery import shared_task
from rozbieznosci_dyscyplin.admin import real_ustaw_dyscypline
<|fim_middle|>@shared_... | code_fim | medium | {
"lang": "python",
"repo": "iplweb/bpp",
"path": "/src/rozbieznosci_dyscyplin/tasks.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: iplweb/bpp path: /src/rozbieznosci_dyscyplin/tasks.py
from celery import shared_task
from rozbieznosci_dyscyplin.admin import real_ustaw_dyscypline
<|fim_suffix|> notifier = ResultNotifier()
real_ustaw_dyscypline(pole, elements, notifier)
return notifier.retbuf<|fim_middle|>@shared_... | code_fim | medium | {
"lang": "python",
"repo": "iplweb/bpp",
"path": "/src/rozbieznosci_dyscyplin/tasks.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/verbs/_minted.py
from xai.brain.wordbase.verbs._mint import _MINT
<|fim_suffix|> _MINT.__init__(self)
self.name = "MINTED"
self.specie = 'verbs'
self.basic = "mint"
self.jsondata = {}<|fim_middle|>#calss header
class _MINTED(_MINT, ):
def __init... | code_fim | medium | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/verbs/_minted.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> _MINT.__init__(self)
self.name = "MINTED"
self.specie = 'verbs'
self.basic = "mint"
self.jsondata = {}<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/verbs/_minted.py
from xai.brain.wordbase.verbs._mint import _MINT
<|fim_middle|>#calss header
class _MINTED(_MINT, ):
def __init... | code_fim | medium | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/verbs/_minted.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: endremborza/typegame path: /typegame/core/callbacks.py
import json
import glob
import os
import datetime
import dash
import dash_html_components as html
from dash.dependencies import Input, Output, State
from typegame.parsing.from_notebook import parse_notebook
from typegame.parsing.to_componen... | code_fim | hard | {
"lang": "python",
"repo": "endremborza/typegame",
"path": "/typegame/core/callbacks.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> json.dump(
Submission(
name=name,
answers=answers,
correct_answers=correct_num,
quiz_name=quiz_name,
).dict(),
open(
os.path.join(
answer_path, f"{name}-{datetime.datetime.now()}.json"
),
... | code_fim | hard | {
"lang": "python",
"repo": "endremborza/typegame",
"path": "/typegame/core/callbacks.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def handle_submission(
question_list: List["Question"],
answers: list,
quiz_name: str,
name: str,
answer_path: str,
) -> Tuple:
correct_num = 0
solutions = []
missed = []
for idx, question in enumerate(question_list):
user_answer = answers[idx]
if use... | code_fim | hard | {
"lang": "python",
"repo": "endremborza/typegame",
"path": "/typegame/core/callbacks.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: imasyalol/ITMO_ICT_WebProgramming_2020 path: /students/k3340/laboratory_works/Pahmurin_Maksim/laboratiry_work_2/program/migrations/0001_initial.py
# Generated by Django 3.0.7 on 2020-06-08 18:55
from django.db import migrations, models
import django.db.models.deletion
class Migration(migration... | code_fim | hard | {
"lang": "python",
"repo": "imasyalol/ITMO_ICT_WebProgramming_2020",
"path": "/students/k3340/laboratory_works/Pahmurin_Maksim/laboratiry_work_2/program/migrations/0001_initial.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ],
options={
'verbose_name': 'Расписание',
'verbose_name_plural': 'Расписание',
},
),
migrations.CreateModel(
name='Rating',
fields=[
('id', models.AutoField(auto_created=True, primary_key=... | code_fim | hard | {
"lang": "python",
"repo": "imasyalol/ITMO_ICT_WebProgramming_2020",
"path": "/students/k3340/laboratory_works/Pahmurin_Maksim/laboratiry_work_2/program/migrations/0001_initial.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>,
],
options={
'verbose_name': 'Преподаватель',
'verbose_name_plural': 'Преподаватели',
},
),
migrations.CreateModel(
name='Shedule',
fields=[
('id', models.AutoField(auto_created=Tr... | code_fim | hard | {
"lang": "python",
"repo": "imasyalol/ITMO_ICT_WebProgramming_2020",
"path": "/students/k3340/laboratory_works/Pahmurin_Maksim/laboratiry_work_2/program/migrations/0001_initial.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wooster/django-topsoil path: /tests/test_provider/testapp/resources.py
from django.contrib.auth import logout as logout_auth
from django.contrib.auth.decorators import login_required
from django.http import HttpResponseForbidden, HttpResponseRedirect
from django.middleware.csrf import get_token
f... | code_fim | hard | {
"lang": "python",
"repo": "wooster/django-topsoil",
"path": "/tests/test_provider/testapp/resources.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> metadata = {}
data = {}
data['places'] = Place.objects.all()
data['title'] = 'All Places'
if format == 'html':
metadata['template'] = 'places/list.html'
return (metadata, data)
@login_required
@resource()
def place_add(request, format=None, *args, **kwargs):
metadata =... | code_fim | hard | {
"lang": "python",
"repo": "wooster/django-topsoil",
"path": "/tests/test_provider/testapp/resources.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>@login_required
@resource()
def place_edit(request, format=None, *args, **kwargs):
metadata = {}
data = {}
place_id = kwargs.get('place_id')
request_method = request.method.upper()
place = Place.objects.get(id=int(place_id))
if format == 'html':
metadata['template'] = 'plac... | code_fim | hard | {
"lang": "python",
"repo": "wooster/django-topsoil",
"path": "/tests/test_provider/testapp/resources.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: brianjstroh/BrawlStars path: /brawl_data.py
# -*- coding: utf-8 -*-
"""
Created on Sat Apr 10 12:22:10 2021
@author: brian
"""
import os
import pandas as pd
import numpy as np
from statsmodels.stats.proportion import proportion_confint
import psycopg2
from sqlalchemy import create_eng... | code_fim | hard | {
"lang": "python",
"repo": "brianjstroh/BrawlStars",
"path": "/brawl_data.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #Get population data
pop_query = "SELECT mode, map, brawler,"
pop_query += " SUM(wins) as wins,"
pop_query += " SUM(matches_played) AS matches_played"
pop_query += " FROM " + pop_table
pop_query += " GROUP BY mode, map, brawler;"
pop = sql_get_results(connection_string, p... | code_fim | hard | {
"lang": "python",
"repo": "brianjstroh/BrawlStars",
"path": "/brawl_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> obj.author = self.request.user
return super(MemoList, self).pre_save(obj)
class MemoDetail(generics.RetrieveUpdateDestroyAPIView):
model = Memo
serializer_class = MemoSerializer
permission_classes = [
permissions.AllowAny
]
class NotebookList(generics.ListCreateAP... | code_fim | medium | {
"lang": "python",
"repo": "cjworld/WeddingAssist",
"path": "/noters/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cjworld/WeddingAssist path: /noters/views.py
from rest_framework import generics, permissions, viewsets
from django.contrib.auth.decorators import login_required
from django.shortcuts import render
from noters.serializers import MemoSerializer, NotebookSerializer
from noters.models import Memo, N... | code_fim | medium | {
"lang": "python",
"repo": "cjworld/WeddingAssist",
"path": "/noters/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def pre_save(self, obj):
obj.owner = self.request.user
return super(NotebookList, self).pre_save(obj)
class NotebookDetail(generics.RetrieveUpdateDestroyAPIView):
model = Notebook
serializer_class = NotebookSerializer
permission_classes = [
permissions.AllowAny
... | code_fim | hard | {
"lang": "python",
"repo": "cjworld/WeddingAssist",
"path": "/noters/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pyobs/pyobs-core path: /pyobs/modules/flatfield/pointing.py
import logging
from typing import Union, Dict, Any
from pyobs.interfaces import IRunnable, ITelescope
from pyobs.modules import Module
from pyobs.object import get_object
from pyobs.modules import timeout
from pyobs.utils.skyflats.point... | code_fim | hard | {
"lang": "python",
"repo": "pyobs/pyobs-core",
"path": "/pyobs/modules/flatfield/pointing.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Module for pointing a telescope."""
__module__ = "pyobs.modules.flatfield"
def __init__(
self, telescope: Union[str, ITelescope], pointing: Union[Dict[str, Any], SkyFlatsBasePointing], **kwargs: Any
):
"""Initialize a new flat field pointing.
Args:
... | code_fim | medium | {
"lang": "python",
"repo": "pyobs/pyobs-core",
"path": "/pyobs/modules/flatfield/pointing.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self, telescope: Union[str, ITelescope], pointing: Union[Dict[str, Any], SkyFlatsBasePointing], **kwargs: Any
):
"""Initialize a new flat field pointing.
Args:
telescope: Telescope to point
pointing: Pointing for calculating coordinates.
"""
... | code_fim | medium | {
"lang": "python",
"repo": "pyobs/pyobs-core",
"path": "/pyobs/modules/flatfield/pointing.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/nouns/_palestinians.py
from xai.brain.wordbase.nouns._palestinian import _PALESTINIAN
<|fim_suffix|> _PALESTINIAN.__init__(self)
self.name = "PALESTINIANS"
self.specie = 'nouns'
self.basic = "palestinian"
self.jsondata = {}<|fim_middle|>#calss he... | code_fim | medium | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/nouns/_palestinians.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> _PALESTINIAN.__init__(self)
self.name = "PALESTINIANS"
self.specie = 'nouns'
self.basic = "palestinian"
self.jsondata = {}<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/nouns/_palestinians.py
from xai.brain.wordbase.nouns._palestinian import _PALESTINIAN
#calss header
class _PA... | code_fim | easy | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/nouns/_palestinians.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: medmatix/DataSciCalc path: /DataSciCalc03.py
section = "./documentation/all_docs.txt"
docFile=open(section, 'r')
self.manual.insert(tk.INSERT, '\n' + docFile.read())
# #########################################################
# Tab4 Multivariate statis... | code_fim | hard | {
"lang": "python",
"repo": "medmatix/DataSciCalc",
"path": "/DataSciCalc03.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.action_blank6 = ttk.Button(self.mvStatFunctKeys, text=" ", command=lambda: af.do_blank(self))
self.action_blank6.grid(column=2, row=1, padx=4, pady=6)
# Associated tool tip
squareXDescr = 'Unassigned key.'
createToolTip(self.action_blank6, squareXDescr)
... | code_fim | hard | {
"lang": "python",
"repo": "medmatix/DataSciCalc",
"path": "/DataSciCalc03.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.action_sumL = ttk.Button(self.listFunctKeys, text=" \u03a3 L " , command=lambda: af.do_sumL(self))
self.action_sumL.grid(column=0, row=1, padx=4, pady=6)
# Associated tool tip
sumListDescr = 'Sum elements of L, result to L'
createToolTip(self.action_sumL, sumLi... | code_fim | hard | {
"lang": "python",
"repo": "medmatix/DataSciCalc",
"path": "/DataSciCalc03.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return minsyl, maxsyl
def haiku(body):
"""(Accidental) haiku detector"""
body = body.lower()
if body.startswith("!"):
return False
STRINGS.append(body)
if len(STRINGS) > 3:
STRINGS.pop(0)
syllables = count_syllables(body)
COUNTS.append(syllables)
if... | code_fim | hard | {
"lang": "python",
"repo": "jshufro/slask",
"path": "/limbo/plugins/haiku.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jshufro/slask path: /limbo/plugins/haiku.py
"""!haiku [x]: fetch haiku #x|random"""
import re
import random
from limbo import conf
import logging
from redis.client import StrictRedis
REDIS = StrictRedis(host=conf.redis_host, port=conf.redis_port, db=conf.redis_db)
QUEUE = "HAIKU"
LOG = logging... | code_fim | hard | {
"lang": "python",
"repo": "jshufro/slask",
"path": "/limbo/plugins/haiku.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if is_vowel:
if verbose:
print c, "is a vowel"
if not on_vowel:
# We weren't on a vowel before.
# Seeing a new vowel bumps the syllable count.
if verbose:
print "new syllable"
... | code_fim | hard | {
"lang": "python",
"repo": "jshufro/slask",
"path": "/limbo/plugins/haiku.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 418sec/soda-sql path: /tests/common/sql_test_case.py
# Copyright 2020 Soda
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-... | code_fim | hard | {
"lang": "python",
"repo": "418sec/soda-sql",
"path": "/tests/common/sql_test_case.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """self.target may be initialized by a test suite"""
if self.target is None:
self.target = os.getenv('SODA_TEST_TARGET', TARGET_POSTGRES)
warehouse_fixture = SqlTestCase.warehouse_fixtures_by_target.get(self.target)
if warehouse_fixture is None:
log... | code_fim | hard | {
"lang": "python",
"repo": "418sec/soda-sql",
"path": "/tests/common/sql_test_case.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fonnesbeck/pymc4 path: /pymc4/flow/executor.py
erent datasets
# 4. unobserved value is provided in executor directly to replace an observed value.
# An advanced usage of PyMC4 where we change the set of observed nodes (not variables)
#
# The a... | code_fim | hard | {
"lang": "python",
"repo": "fonnesbeck/pymc4",
"path": "/pymc4/flow/executor.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # in a state we might have:
# - return values for distributions/models
# we will modify this state with:
# - distributions, used to calculate logp correctly
# - potentials, same purpose
# - values in case we sample from a distribution
# A... | code_fim | hard | {
"lang": "python",
"repo": "fonnesbeck/pymc4",
"path": "/pymc4/flow/executor.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self, deterministic: distribution.Deterministic, state: SamplingState
) -> Tuple[Any, SamplingState]:
# TODO: docs
if deterministic.is_anonymous:
raise EvaluationError("Attempting to create an anonymous Deterministic")
scoped_name = scopes.variable_name(dete... | code_fim | hard | {
"lang": "python",
"repo": "fonnesbeck/pymc4",
"path": "/pymc4/flow/executor.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: engineersCode/EngComp5_surfourier path: /scripts/almost_fourier_helper.py
import numpy
from IPython.display import HTML
import ipywidgets
from matplotlib import animation, pyplot
def create_init_fig(wrapped_signal, freq_arr, xcm_arr):
""" creates initial figure needed for animation, but it d... | code_fim | hard | {
"lang": "python",
"repo": "engineersCode/EngComp5_surfourier",
"path": "/scripts/almost_fourier_helper.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def update_figure(f, anim_dict, g_t, t_arr, freq_arr, display_fig=False):
res = g_t * comp_fourier_term(freq_arr[f], t_arr)
anim_dict['fig'].suptitle('Frequency = {:.2f}'.format(freq_arr[f]))
anim_dict['xcm_arr'][f] = numpy.mean(res.real)
anim_dict['WSP'].set_data(res.... | code_fim | hard | {
"lang": "python",
"repo": "engineersCode/EngComp5_surfourier",
"path": "/scripts/almost_fourier_helper.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: srusskih/SublimeJEDI path: /dependencies/jedi/third_party/typeshed/tests/pytype_test.py
#!/usr/bin/env python3
"""Test runner for typeshed.
Depends on pytype being installed.
If pytype is installed:
1. For every pyi, do nothing if it is in pytype_blacklist.txt.
2. Otherwise, call 'pytyp... | code_fim | hard | {
"lang": "python",
"repo": "srusskih/SublimeJEDI",
"path": "/dependencies/jedi/third_party/typeshed/tests/pytype_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for p in subdir_paths:
if not os.path.isdir(p):
raise SystemExit("Cannot find typeshed subdir at {} (specify parent dir via --typeshed-location)".format(p))
def check_python_exes_runnable(*, python27_exe_arg: str, python36_exe_arg: str) -> None:
for exe, version_str in zip([p... | code_fim | hard | {
"lang": "python",
"repo": "srusskih/SublimeJEDI",
"path": "/dependencies/jedi/third_party/typeshed/tests/pytype_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: farchanjo/mongobackup path: /backup.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import logging
import datetime
import os
import subprocess
import shutil
import boto3
from botocore.exceptions import ClientError
try:
from pymongo import MongoClient
except ImportError:
print('You mus... | code_fim | hard | {
"lang": "python",
"repo": "farchanjo/mongobackup",
"path": "/backup.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> create_backup_folder()
dbs_name = load_mongo_databases()
s3_client = boto3.client('s3')
for db_name in dbs_name:
backup_folder = '%s/%s_%s' % (BACKUP_FOLDER, db_name, today_timestamp)
tar_file = '%s.tar' % backup_folder
logger.info("Start Backup for database: %s o... | code_fim | hard | {
"lang": "python",
"repo": "farchanjo/mongobackup",
"path": "/backup.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def start_remove_old_backups():
for root, dirnames, filenames in os.walk(BACKUP_FOLDER, followlinks=False):
full_filenames = list(map(lambda x: '%s/%s' % (BACKUP_FOLDER, x), filenames))
for full_filename in full_filenames:
if os.path.exists(full_filename):
... | code_fim | hard | {
"lang": "python",
"repo": "farchanjo/mongobackup",
"path": "/backup.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jonrau1/ElectricEye path: /eeauditor/auditors/aws/Amazon_SageMaker_Auditor.py
"Recommendation": {
"Text": "For more information on SageMaker infrastructure protection refer to the Connect a Notebook Instance to Resources in a VPC section of the Amazon SageMaker Devel... | code_fim | hard | {
"lang": "python",
"repo": "jonrau1/ElectricEye",
"path": "/eeauditor/auditors/aws/Amazon_SageMaker_Auditor.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """[SageMaker.4] SageMaker endpoints should be encrypted"""
sagemaker = session.client("sagemaker")
# loop through sagemaker endpoints
response = sagemaker.list_endpoints()
mySageMakerEndpoints = response["Endpoints"]
for endpoints in mySageMakerEndpoints:
endpointName = st... | code_fim | hard | {
"lang": "python",
"repo": "jonrau1/ElectricEye",
"path": "/eeauditor/auditors/aws/Amazon_SageMaker_Auditor.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """[SageMaker.5] SageMaker models should have network isolation enabled"""
sagemaker = session.client("sagemaker")
# loop through sagemaker models
response = sagemaker.list_models()
mySageMakerModels = response["Models"]
for models in mySageMakerModels:
modelName = str(mode... | code_fim | hard | {
"lang": "python",
"repo": "jonrau1/ElectricEye",
"path": "/eeauditor/auditors/aws/Amazon_SageMaker_Auditor.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jeffshurtliff/khorosjx path: /khorosjx/content/videos.py
# -*- coding: utf-8 -*-
"""
:Module: khorosjx.content.videos
:Synopsis: Collection of functions relating to videos (e.g. https://community.example.com/videos/1234)
:Usage: ``from khorosjx.content import video... | code_fim | hard | {
"lang": "python",
"repo": "jeffshurtliff/khorosjx",
"path": "/khorosjx/content/videos.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def check_if_embedded(lookup_value, lookup_type='content_id'):
"""This function checks to see if a native video is embedded in a document or just a standalone video.
:param lookup_value: The value with which to look up the video
:type lookup_value: str, int
:param lookup_type: Defines if ... | code_fim | hard | {
"lang": "python",
"repo": "jeffshurtliff/khorosjx",
"path": "/khorosjx/content/videos.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def check_if_embedded(lookup_value, lookup_type='content_id'):
"""This function checks to see if a native video is embedded in a document or just a standalone video.
:param lookup_value: The value with which to look up the video
:type lookup_value: str, int
:param lookup_type: Defines if... | code_fim | hard | {
"lang": "python",
"repo": "jeffshurtliff/khorosjx",
"path": "/khorosjx/content/videos.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@transaction.commit_on_success
def insert_tweet_to_db(tweet):
tweet_author, created = Tweeter.objects.get_or_create(user_id=tweet['user']['id'],
screen_name=tweet['user']['screen_name']
... | code_fim | hard | {
"lang": "python",
"repo": "shuggiefisher/crowdstock",
"path": "/tweetreader/reader.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shuggiefisher/crowdstock path: /tweetreader/reader.py
import tweetstream
import settings
from datetime import datetime
import simplejson as json
from django.contrib.auth.models import User
from django.db import transaction
from tweetreader.models import Tweeter, Tweet
<|fim_suffix|> tweet_a... | code_fim | hard | {
"lang": "python",
"repo": "shuggiefisher/crowdstock",
"path": "/tweetreader/reader.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>ekday()]
return answer
print(solution(1, 2))<|fim_prefix|># repo: StudyForCoding/ProgrammersLevel path: /Level1/Lessons12901/yang_12901.py
def solution(a, b):
label = ['MON','TUE','WED','THU','FRI','SAT','SUN']
import datetim<|fim_middle|>e
answer = label[datetime.date(2016,a,b).we | code_fim | easy | {
"lang": "python",
"repo": "StudyForCoding/ProgrammersLevel",
"path": "/Level1/Lessons12901/yang_12901.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: StudyForCoding/ProgrammersLevel path: /Level1/Lessons12901/yang_12901.py
def solution(a, b):
label = ['MON','TUE','WED','THU','FRI','SAT','SUN']
import datetim<|fim_suffix|>ekday()]
return answer
print(solution(1, 2))<|fim_middle|>e
answer = label[datetime.date(2016,a,b).we | code_fim | easy | {
"lang": "python",
"repo": "StudyForCoding/ProgrammersLevel",
"path": "/Level1/Lessons12901/yang_12901.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
import doctest
doctest.testmod()<|fim_prefix|># repo: FranzSchubert92/cw path: /python/collatz.py
"""
collatz(n) starts a Collatz sequence from n;
doctests
>>> collatz(4)
'4->2->1'
>>> collatz(3)
'3->10->5->16->8->4->2->1'
"""
<|fim_middle|>def collatz(n):
seq = ... | code_fim | hard | {
"lang": "python",
"repo": "FranzSchubert92/cw",
"path": "/python/collatz.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FranzSchubert92/cw path: /python/collatz.py
"""
collatz(n) starts a Collatz sequence from n;
doctests
>>> collatz(4)
'4->2->1'
>>> collatz(3)
'3->10->5->16->8->4->2->1'
"""
<|fim_suffix|>if __name__ == "__main__":
import doctest
doctest.testmod()<|fim_middle|>def collatz(n):
seq = ... | code_fim | hard | {
"lang": "python",
"repo": "FranzSchubert92/cw",
"path": "/python/collatz.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
mount_point = join(self.VOLUME_DIR, vol_name)
self._mount(dev_name, mount_point, True)
except Exception as e:
self.logger.exception("Failed to mount volume '%s'" % vol_name)
return HttpErrorResponse('Failed to mount volume: ' + e.message... | code_fim | hard | {
"lang": "python",
"repo": "ConPaaS-team/conpaas",
"path": "/conpaas-services/src/conpaas/services/generic/agent/agent.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not exists(script_path):
self.logger.critical("Script '%s' does not exist in the active code tarball"
% script_name)
return
start_args = [ "bash", script_path ] + parameters.split()
self.processes[command] = Popen(start_args, cwd=sel... | code_fim | hard | {
"lang": "python",
"repo": "ConPaaS-team/conpaas",
"path": "/conpaas-services/src/conpaas/services/generic/agent/agent.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ConPaaS-team/conpaas path: /conpaas-services/src/conpaas/services/generic/agent/agent.py
rights reserved.
Redistribution and use in source and binary forms,
with or without modification, are permitted provided
that the following conditions are met:
1. Redistributions of source code must retain... | code_fim | hard | {
"lang": "python",
"repo": "ConPaaS-team/conpaas",
"path": "/conpaas-services/src/conpaas/services/generic/agent/agent.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zoibelli/IoT-Garden path: /ESP32 configuration/Micropython code/util/pinout.py
"""this module is to load proper pinout per config"""
import json
def set_pinout():
device_config = {}
pinout = None
try:
with open('config/device.json', 'r') as f:
d = f.read()
... | code_fim | hard | {
"lang": "python",
"repo": "zoibelli/IoT-Garden",
"path": "/ESP32 configuration/Micropython code/util/pinout.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if device_config.get('board_type') == "oLAB IoTBoard1" and device_config.get('soc_type') == "esp8266":
import pinouts.olab_esp8266_iot_board1 as pinout
if device_config.get('board_type') == "oLAB IoTBoard1" and device_config.get('soc_type') == "esp32":
import pinouts.olab_esp32_io... | code_fim | hard | {
"lang": "python",
"repo": "zoibelli/IoT-Garden",
"path": "/ESP32 configuration/Micropython code/util/pinout.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if device_config.get('board_type') == "oLAB Witty" and device_config.get('soc_type') == "esp8266":
import pinouts.olab_esp8266_witty as pinout
if device_config.get('board_type') == "oLAB Tickernator" and device_config.get('soc_type') == "esp8266":
import pinouts.olab_esp8266_t... | code_fim | medium | {
"lang": "python",
"repo": "zoibelli/IoT-Garden",
"path": "/ESP32 configuration/Micropython code/util/pinout.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: home-assistant/core path: /tests/components/thread/test_discovery.py
"""Test the thread websocket API."""
from unittest.mock import ANY, AsyncMock, Mock
import pytest
from zeroconf.asyncio import AsyncServiceInfo
from homeassistant.components.thread import discovery
from homeassistant.componen... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/tests/components/thread/test_discovery.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>@pytest.mark.parametrize(
("data", "unconfigured"),
[
(ROUTER_DISCOVERY_HASS_NO_ACTIVE_TIMESTAMP, True),
(ROUTER_DISCOVERY_HASS_BAD_STATE_BITMAP, None),
(ROUTER_DISCOVERY_HASS_NO_STATE_BITMAP, None),
(ROUTER_DISCOVERY_HASS_STATE_BITMAP_NOT_ACTIVE, True),
],
)
as... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/tests/components/thread/test_discovery.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Discover a service with bad or missing data
mock_async_zeroconf.async_get_service_info.return_value = AsyncServiceInfo(**data)
listener.add_service(None, data["type_"], data["name"])
await hass.async_block_till_done()
router_discovered_removed.assert_called_once_with(
"aeeb2f... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/tests/components/thread/test_discovery.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>le": ["1-4,6-15周三(5-6节)", "1-4,6-8周一(9-10节)", "10-15周五(1-2节)"],
"location": ["D1142(D区)", "D1338(D区)", "D1344(D区)"]
}
]
for a, b in zip(lists, results):
assert a == b<|fim_prefix|># repo: zombie110year/cqu_jxgl path: /tests/test_chioce.py
from bs4 import BeautifulSoup
... | code_fim | hard | {
"lang": "python",
"repo": "zombie110year/cqu_jxgl",
"path": "/tests/test_chioce.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zombie110year/cqu_jxgl path: /tests/test_chioce.py
from bs4 import BeautifulSoup
def test_parse_dict():
from cqu_jxgl.choice import ChoiceTable
with open("tests/工程力学.html", "rt", encoding="utf-8") as file:
text = file.read()
table<|fim_suffix|>le": ["1-4,6-15周三(5-6节)", "1-4,... | code_fim | hard | {
"lang": "python",
"repo": "zombie110year/cqu_jxgl",
"path": "/tests/test_chioce.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>__version__ = '1.1.1'
__name__ = PRODUCT_NAME<|fim_prefix|># repo: mypaceshun/qiitacli path: /qiitacli/__init__.py
'''
Qiita API v2 を利用してQiitaへの記事投稿・削除・更新などを行う
'''
import os
from pathlib import Path
<|fim_middle|>PRODUCT_NAME = 'qiitacli'
ACCESSTOKEN_PATH = os.environ.get(
"QIITACLI_ACCESSTOKEN_PATH... | code_fim | medium | {
"lang": "python",
"repo": "mypaceshun/qiitacli",
"path": "/qiitacli/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mypaceshun/qiitacli path: /qiitacli/__init__.py
'''
Qiita API v2 を利用してQiitaへの記事投稿・削除・更新などを行う
'''
import os
from pathlib import Path
<|fim_suffix|>__version__ = '1.1.1'
__name__ = PRODUCT_NAME<|fim_middle|>PRODUCT_NAME = 'qiitacli'
ACCESSTOKEN_PATH = os.environ.get(
"QIITACLI_ACCESSTOKEN_PATH... | code_fim | medium | {
"lang": "python",
"repo": "mypaceshun/qiitacli",
"path": "/qiitacli/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, zipcd, zcta, nLabel, boro):
self.ZipCode = th.cleanInts(zipcd)
self.ZCTA = th.cleanInts(zcta)
self.Neighborhood = nLabel
self.Boro = boro
def toStr(self):
return str(self.ZipCode) + " | " + str(self.ZCTA)<|fim_prefix|># repo: T... | code_fim | medium | {
"lang": "python",
"repo": "TT0101/nyc-zcta-data-helpers",
"path": "/ZipToZCTA/ziptozcta.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TT0101/nyc-zcta-data-helpers path: /ZipToZCTA/ziptozcta.py
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 15 20:25:05 2018
@author: theresa
"""
import TypeHelper as th
<|fim_suffix|> def toStr(self):
return str(self.ZipCode) + " | " + str(self.ZCTA)<|fim_middle|>class zipToZ... | code_fim | hard | {
"lang": "python",
"repo": "TT0101/nyc-zcta-data-helpers",
"path": "/ZipToZCTA/ziptozcta.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AmberZLH/gated_pban path: /train.py
import os
import torch
import torch.nn as nn
import argparse
from sklearn import metrics
from torch.utils.data import DataLoader
from models import LSTM, AE_LSTM, ATAE_LSTM, PBAN
from data_utils import SentenceDataset, build_tokenizer, build_embedding_matrix
c... | code_fim | hard | {
"lang": "python",
"repo": "AmberZLH/gated_pban",
"path": "/train.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> n_test_correct += (torch.argmax(t_outputs, -1) == t_targets).sum().item()
n_test_total += len(t_outputs)
t_targets_all = torch.cat((t_targets_all, t_targets), dim=0) if t_targets_all is not None else t_targets
t_outputs_all =... | code_fim | hard | {
"lang": "python",
"repo": "AmberZLH/gated_pban",
"path": "/train.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Process a JSON-LD file in the new format to extract Statements.
Parameters
----------
fname : str
The path to the JSON-LD file to be processed.
Returns
-------
indra.sources.hume.HumeProcessor
A HumeProcessor instance, which contains a list of INDRA Stateme... | code_fim | medium | {
"lang": "python",
"repo": "kolusask/indra",
"path": "/indra/sources/hume/api.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns
-------
indra.sources.hume.HumeProcessor
A HumeProcessor instance, which contains a list of INDRA Statements
as its statements attribute.
"""
hp = processor.HumeJsonLdProcessor(jsonld)
hp.extract_relations()
hp.extract_events()
return hp<|fim_prefix|... | code_fim | hard | {
"lang": "python",
"repo": "kolusask/indra",
"path": "/indra/sources/hume/api.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kolusask/indra path: /indra/sources/hume/api.py
__all__ = ['process_jsonld_file', 'process_jsonld']
import json
import logging
from indra.sources.hume import processor
<|fim_suffix|> """Process a JSON-LD file in the new format to extract Statements.
Parameters
----------
fname :... | code_fim | medium | {
"lang": "python",
"repo": "kolusask/indra",
"path": "/indra/sources/hume/api.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ngcaden/ESP8266-DHT11-Weather-Station path: /main.py
import dht
import machine
d = dht.DHT11(machine.Pin(2))
html = """<!DOCTYPE html>
<html>
<head> <title>ESP8266 Pins</title> </head>
<body>
<h1>The current temperature is: <small>%s</small></h1>
<h1>The current humidity... | code_fim | medium | {
"lang": "python",
"repo": "ngcaden/ESP8266-DHT11-Weather-Station",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> s = socket.socket()
s.bind(addr)
s.listen(1)
print('listening on', addr)
while True:
cl, addr = s.accept()
print('client connected from', addr)
cl_file = cl.makefile('rwb', 0)
d.measure()
temperature = d.temperature()
humidity = d.humid... | code_fim | medium | {
"lang": "python",
"repo": "ngcaden/ESP8266-DHT11-Weather-Station",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
addr = socket.getaddrinfo('0.0.0.0', 80)[0][-1]
s = socket.socket()
s.bind(addr)
s.listen(1)
print('listening on', addr)
while True:
cl, addr = s.accept()
print('client connected from', addr)
cl_file = cl.makefile('rwb', 0)
d.measure(... | code_fim | medium | {
"lang": "python",
"repo": "ngcaden/ESP8266-DHT11-Weather-Station",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: littlealexchen/Deep-Learning-with-TensorFlow-master path: /Chapter05/Python 2.7/autoencoder_1.py
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
# Import MINST data
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_dat... | code_fim | hard | {
"lang": "python",
"repo": "littlealexchen/Deep-Learning-with-TensorFlow-master",
"path": "/Chapter05/Python 2.7/autoencoder_1.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Initializing the variables
init = tf.global_variables_initializer()
# Launch the graph
with tf.Session() as sess:
sess.run(init)
total_batch = int(mnist.train.num_examples/batch_size)
# Training cycle
for epoch in range(training_epochs):
# Loop over all batches
for i in ... | code_fim | hard | {
"lang": "python",
"repo": "littlealexchen/Deep-Learning-with-TensorFlow-master",
"path": "/Chapter05/Python 2.7/autoencoder_1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print("Optimization Finished!")
# Applying encode and decode over test set
encode_decode = sess.run(
y_pred, feed_dict=\
{X: mnist.test.images[:examples_to_show]})
# Compare original images with their reconstructions
f, a = plt.subplots(2, 4, figsize=(10, 5))
for i... | code_fim | hard | {
"lang": "python",
"repo": "littlealexchen/Deep-Learning-with-TensorFlow-master",
"path": "/Chapter05/Python 2.7/autoencoder_1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertIsNone(result.errors)
self.assertEqual(1, len(result.data["filterUpdateDogs"]["updatedObjects"]))
dog_result = result.data["filterUpdateDogs"]["updatedObjects"][0]
self.assertEqual("New tag", dog_result["tag"])
dog.refresh_from_db()
self.assertE... | code_fim | hard | {
"lang": "python",
"repo": "tOgg1/graphene-django-cud",
"path": "/graphene_django_cud/tests/test_filter_update_mutation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tOgg1/graphene-django-cud path: /graphene_django_cud/tests/test_filter_update_mutation.py
import graphene
from addict import Dict
from django.test import TestCase
from graphene import Schema
from graphene_django_cud.mutations.filter_update import DjangoFilterUpdateMutation
from graphene_django_c... | code_fim | hard | {
"lang": "python",
"repo": "tOgg1/graphene-django-cud",
"path": "/graphene_django_cud/tests/test_filter_update_mutation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> class FilterUpdateDogMutation(DjangoFilterUpdateMutation):
class Meta:
model = Dog
filter_fields = ("name", "name__startswith")
class Mutations(graphene.ObjectType):
filter_update_dogs = FilterUpdateDogMutation.Field()
dog =... | code_fim | hard | {
"lang": "python",
"repo": "tOgg1/graphene-django-cud",
"path": "/graphene_django_cud/tests/test_filter_update_mutation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gangaiitk/pycroscopy path: /pycroscopy/io/translators/translator.py
# -*- coding: utf-8 -*-
"""
Created on Tue Nov 3 15:07:16 2015
@author: Suhas Somnath
"""
from __future__ import division, print_function, absolute_import, unicode_literals
import abc
from os import path, remove
from ..io_uti... | code_fim | hard | {
"lang": "python",
"repo": "gangaiitk/pycroscopy",
"path": "/pycroscopy/io/translators/translator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Writes the provided datasets and parameters to an h5 file
Parameters
----------
h5_path : String / Unicode
Absolute path of the h5 file to be written
data_name : String / Unicode
Name of the data type
translator_n... | code_fim | hard | {
"lang": "python",
"repo": "gangaiitk/pycroscopy",
"path": "/pycroscopy/io/translators/translator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ucd-plse/mpi-error-prop path: /src/wpds/AddOns/Domains/ThirdParty/SConscript
## ########################################
## $Id: SConscript 1849 2012-04-24 19:24:13Z driscoll $
<|fim_suffix|>BuddyEnv = BaseEnv.Clone(CPPPATH=['src'])
BaseEnv.Append(CFLAGS=' -O2')
BuddyEnv['WARNING_FLAGS'] = Bud... | code_fim | medium | {
"lang": "python",
"repo": "ucd-plse/mpi-error-prop",
"path": "/src/wpds/AddOns/Domains/ThirdParty/SConscript",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>SRCS = Glob('buddy-2.4/src/*.c') + ['buddy-2.4/src/cppext.cxx']
liba = BuddyEnv.StaticLibrary('bdd' , SRCS)
iliba = BuddyEnv.Install(LibInstallDir, liba)
hfiles = BuddyEnv.Install('include/buddy',Glob('buddy-2.4/src/*.h'))
built = [iliba,hfiles]
Return('built')<|fim_prefix|># repo: ucd-plse/mpi-error-... | code_fim | hard | {
"lang": "python",
"repo": "ucd-plse/mpi-error-prop",
"path": "/src/wpds/AddOns/Domains/ThirdParty/SConscript",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
8xy4 - Set Vx = Vx + Vy, set VF = carry.
The values of Vx and Vy are added together. If the result is
greater than 8 bits (i.e., > 255,) VF is set to 1, otherwise 0.
Only the lowest 8 bits of the result are kept, and stored in Vx.
"""
... | code_fim | hard | {
"lang": "python",
"repo": "MeArio/Chipy38",
"path": "/cpu.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MeArio/Chipy38 path: /cpu.py
and if they
are equal, increments the program counter by 2.
"""
registers = self.return_middle_registers(self.opcode)
if self.registers[registers[0]] == self.registers[registers[1]]:
self.pc += 2
logger.inf... | code_fim | hard | {
"lang": "python",
"repo": "MeArio/Chipy38",
"path": "/cpu.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
8xy7 - Set Vx = Vy - Vx, set VF = NOT borrow.
If Vy > Vx, then VF is set to 1, otherwise 0. Then Vx is subtracted
from Vy, and the results stored in Vx.
"""
register = self.return_middle_registers(self.opcode)
if self.registers[regist... | code_fim | hard | {
"lang": "python",
"repo": "MeArio/Chipy38",
"path": "/cpu.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>)
dist.SetAlgorithmToSaitoCached()
viewer = vtk.vtkImageViewer()
viewer.SetInputConnection(dist.GetOutputPort())
viewer.SetColorWindow(117)
viewer.SetColorLevel(43)
viewer.Render()
#skipping source
# --- end of script --<|fim_prefix|># repo: t3dbrida/VTK path: /Imaging/Core/Testing/Python/TestEuclideanDi... | code_fim | hard | {
"lang": "python",
"repo": "t3dbrida/VTK",
"path": "/Imaging/Core/Testing/Python/TestEuclideanDistanceCached.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: t3dbrida/VTK path: /Imaging/Core/Testing/Python/TestEuclideanDistanceCached.py
#!/usr/bin/env python
import vtk
from vtk.util.misc import vtkGetDataRoot
VTK_DATA_ROOT = vtkGetDataRoot()
# This script shows how to use vtkImageEuclideanDistance
# Image pipeline
reader = vtk.vtkPNGReader()
reader.S... | code_fim | hard | {
"lang": "python",
"repo": "t3dbrida/VTK",
"path": "/Imaging/Core/Testing/Python/TestEuclideanDistanceCached.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> `init_client` will automatically initialize the client for the region,
and is useful when service requests will be made in multiple threads and
it is desirable to reuse the same client between threads.
"""
self.region_name = region_name.lower()
self.profile... | code_fim | hard | {
"lang": "python",
"repo": "rnag/aws-teams-logger",
"path": "/aws_teams_logger/utils/aws/client_cache.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
if self.THREAD_SAFE or self.profile_name:
client_func = Session(profile_name=self.profile_name).client
else:
client_func = client
return client_func(self.SERVICE_NAME, self.region_name)
except UnknownServiceError:
... | code_fim | hard | {
"lang": "python",
"repo": "rnag/aws-teams-logger",
"path": "/aws_teams_logger/utils/aws/client_cache.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rnag/aws-teams-logger path: /aws_teams_logger/utils/aws/client_cache.py
from collections import defaultdict
from boto3 import Session, client
from botocore.client import BaseClient
from botocore.exceptions import UnknownServiceError
class ClientCache:
# boto3 service name
SERVICE_NAME... | code_fim | hard | {
"lang": "python",
"repo": "rnag/aws-teams-logger",
"path": "/aws_teams_logger/utils/aws/client_cache.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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