text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>def test_rule_ignores_where_auth_not_mentioned(neutral_template):
rule = CloudFormationAuthenticationRule(None)
result = rule.invoke(neutral_template)
assert result.valid
assert len(result.failed_rules) == 0
assert len(result.failed_monitored_rules) == 0<|fim_prefix|># repo: chuckbnor... | code_fim | hard | {
"lang": "python",
"repo": "chuckbnorris/Canivete",
"path": "/cfripper/tests/rules/test_CloudFormationAuthenticationRule.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
T(10) is 2329. What is T(1012) modulo 108?
'''
# Solution
# Solution Approach
'''
'''<|fim_prefix|># repo: Ved005/project-euler-solutions path: /code/tours_on_a_4_x_n_playing_board/sol_237.py
# -*- coding: utf-8 -*-
'''
File name: code\tours_on_a_4_x_n_playing_board\sol_237.py
Author: Vai... | code_fim | hard | {
"lang": "python",
"repo": "Ved005/project-euler-solutions",
"path": "/code/tours_on_a_4_x_n_playing_board/sol_237.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ved005/project-euler-solutions path: /code/tours_on_a_4_x_n_playing_board/sol_237.py
# -*- coding: utf-8 -*-
'''
File name: code\tours_on_a_4_x_n_playing_board\sol_237.py
Author: Vaidic Joshi
Date created: Oct 20, 2018
Python Version: 3.x
'''
<|fim_suffix|>
T(10) is 2329. What... | code_fim | hard | {
"lang": "python",
"repo": "Ved005/project-euler-solutions",
"path": "/code/tours_on_a_4_x_n_playing_board/sol_237.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Add tick mark for month start
line = lines.Line2D([0, month_start_slope * DATE_SCALE_TICK_X], [month_start_y, month_start_y])
ax1.add_line(line)
# Add text for month name, in the middle of the month
if month_start_slope == month_end_slope:
text_y = (m... | code_fim | hard | {
"lang": "python",
"repo": "cmcqueen/sundials",
"path": "/analemmatic.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cmcqueen/sundials path: /analemmatic.py
#!/usr/bin/env python3
"""
Calculation and generation of analemmatic sundial.
References:
Plus Magazine http://pass.maths.org.uk/issue11/features/sundials/index.html
Wikipedia http://en.wikipedia.org/wiki/Analemmatic_sundial
Calculations have ... | code_fim | hard | {
"lang": "python",
"repo": "cmcqueen/sundials",
"path": "/analemmatic.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ax1.plot(analemmatic_positions_x, analemmatic_positions_y, '.')
# Draw date scale
datescale_logger = logging.getLogger("datescale")
# Max and min lines
dates_y = []
for sun_angle in [-sun_declination.SUN_OBLIQUITY, sun_declination.SUN_OBLIQUITY]:
date_y = np.tan(sun_angle)... | code_fim | hard | {
"lang": "python",
"repo": "cmcqueen/sundials",
"path": "/analemmatic.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LeMyst/ConferenceCorpus path: /corpus/datasources/webscrape.py
'''
Created on 2020-08-20
@author: wf
'''
import urllib.request
from urllib.request import build_opener, HTTPCookieProcessor
from bs4 import BeautifulSoup
import re
class WebScrape(object):
'''
WebScraper
with a rudiment... | code_fim | hard | {
"lang": "python",
"repo": "LeMyst/ConferenceCorpus",
"path": "/corpus/datasources/webscrape.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def findLinkForRegexp(self,regex:str):
'''
find a link for the given regular expression
Args:
regex(str): the regular expression to find a link for
Return:
m(object),text(str): the match/text tuple or None,None
'''
... | code_fim | hard | {
"lang": "python",
"repo": "LeMyst/ConferenceCorpus",
"path": "/corpus/datasources/webscrape.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: larsleyendecker/gym path: /gym/envs/robotics/old_versions/ur10_static_pd_env_nocfg.py
import numpy
import pandas
import mujoco_py
import json
from gym.envs.robotics import rotations, robot_custom_env, utils
import os
from gym.envs.robotics.ur10 import randomize
from scipy.signal import lfilter, l... | code_fim | hard | {
"lang": "python",
"repo": "larsleyendecker/gym",
"path": "/gym/envs/robotics/old_versions/ur10_static_pd_env_nocfg.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Checking if there are contacts in simulation and returning false if so
if self.sim.data.ncon == 0:
for i in range(100):
self.sim.data.ctrl[:] = self.sim.data.qfrc_bias.copy()
self.sim.forward()
#self.sim.step()
self.... | code_fim | hard | {
"lang": "python",
"repo": "larsleyendecker/gym",
"path": "/gym/envs/robotics/old_versions/ur10_static_pd_env_nocfg.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _sample_goal(self):
home_path = os.getenv("HOME")
goal_path = os.path.join(*[home_path, "DRL_AI4RoMoCo","code", "environment", "experiment_configs", "goal_ur10_simpheg_conf2.json"])
with open(goal_path, encoding='utf-8') as file:
goal = json.load(file)
... | code_fim | hard | {
"lang": "python",
"repo": "larsleyendecker/gym",
"path": "/gym/envs/robotics/old_versions/ur10_static_pd_env_nocfg.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> user_data = {
'firstname': data.get('firstname'),
'lastname': data.get('lastname'),
'email': data.get('email'),
'password': data.get('password'),
'othername': data.get('othername'),
'phone_number': data.get('phone_number'),
'is_admin': data.get('... | code_fim | hard | {
"lang": "python",
"repo": "luqee/politico-api",
"path": "/app/api/v1/blueprints/auth.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> response = {}
if result == 'Invalid credentials':
# notify the user that there was an error.
response['status'] = 401
response['error'] = 'Invalid credentials'
elif isinstance(result, bytes):
# return a response notifying the user that they logged in successfull... | code_fim | hard | {
"lang": "python",
"repo": "luqee/politico-api",
"path": "/app/api/v1/blueprints/auth.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: luqee/politico-api path: /app/api/v1/blueprints/auth.py
from flask import Blueprint, request, jsonify, make_response
from app import politico
from app.api.v1.blueprints.validator import Validator
auth_blueprint = Blueprint('auth', __name__, url_prefix='/api/v1/auth')
@auth_blueprint.route('/use... | code_fim | hard | {
"lang": "python",
"repo": "luqee/politico-api",
"path": "/app/api/v1/blueprints/auth.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hanfeisun/footprint-recognition path: /3-preprocess.py
import numpy as np
import skimage
import skimage.transform
import skimage.feature
import skimage.io
import os
from os.path import join
<|fim_suffix|># train_dir = "valid"
# items = sorted([x for x in os.listdir(train_dir) if x.endswith(".png... | code_fim | hard | {
"lang": "python",
"repo": "hanfeisun/footprint-recognition",
"path": "/3-preprocess.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># train_dir = "valid"
# items = sorted([x for x in os.listdir(train_dir) if x.endswith(".png")], key=lambda x: int(x.split(".")[0]))
# for name in items:
# image = skimage.io.imread(join(train_dir, name), as_grey=True)
# trans = np.where(skimage.filters.gaussian(image, 0.8) > 0.6, 255, 0)
# sk... | code_fim | hard | {
"lang": "python",
"repo": "hanfeisun/footprint-recognition",
"path": "/3-preprocess.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>fig17 = plt.figure()
ax17_1 = fig17.add_subplot(111)
ax17_1.set_xlabel("Depth (km)")
ax17_1.set_ylabel("Concentration (moles/m$^3$)")
ax17_1.set_title("Reacted Silicate Melt Concentrations in a Vesta Magma Ocean (Oxidizing Model, $\eta$=10$^{-3.5}$)")
ax17_1.plot(depth_vesta_1, concs_mesh_vesta_1, linewid... | code_fim | hard | {
"lang": "python",
"repo": "ScottHull/Masters-Thesis-Code",
"path": "/Thesis_Code_3/thesis_models_concentration_recalcs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ScottHull/Masters-Thesis-Code path: /Thesis_Code_3/thesis_models_concentration_recalcs.py
verify_D_vesta_8 = recalcConcentration(predicted_d=vesta_8['D'],
original_moles_silicate=0.27950089725326804, original_moles_metal=0, volume_mesh=vesta_vol_mesh_5_thru_8, radiu... | code_fim | hard | {
"lang": "python",
"repo": "ScottHull/Masters-Thesis-Code",
"path": "/Thesis_Code_3/thesis_models_concentration_recalcs.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>fig4 = plt.figure()
ax4_1 = fig4.add_subplot(111)
ax4_1.set_xlabel("Depth (km)")
ax4_1.set_ylabel("Concentration (moles/m$^3$)")
ax4_1.set_title("Reacted Silicate Melt Concentrations in a Vestian Magma Ocean (Reducing Model, $\eta$=10$^{-1.0}$)")
ax4_1.plot(depth_vesta_7[1:], concs_mesh_vesta_7[1:], linew... | code_fim | hard | {
"lang": "python",
"repo": "ScottHull/Masters-Thesis-Code",
"path": "/Thesis_Code_3/thesis_models_concentration_recalcs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Euclidean distance of two points (x_0, y_0) and (x_1, y_1)."""
return sqrt((x_1 - x_0)**2 + (y_1 - y_0)**2)
def minimum_dist_to_obstacle(x_jnt0, y_jnt0, x_jnt1, y_jnt1, link_slope,
x_obs, y_obs):
"""
Compute minimum distance of a link from a given obstacle... | code_fim | hard | {
"lang": "python",
"repo": "nickgkan/redundant-dof-robot-control",
"path": "/src/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def derivative_of_dist_to_obstacle(min_dist, x_jnt0, y_jnt0, x_jnt1, y_jnt1,
dx_jnt0, dy_jnt0, dx_jnt1, dy_jnt1,
link_slope, x_obs, y_obs):
"""
Compute derivatives of distance to an obstacle w.r.t. joint angles.
Inputs:
... | code_fim | hard | {
"lang": "python",
"repo": "nickgkan/redundant-dof-robot-control",
"path": "/src/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nickgkan/redundant-dof-robot-control path: /src/utils.py
"""
A set of functions to support the robotic arm control.
Mostly concerning the computation of the controller loss function.
"""
from math import sqrt
import numpy as np
def compute_link_loss(min_dist, dist_der, safety_dist):
"""
... | code_fim | hard | {
"lang": "python",
"repo": "nickgkan/redundant-dof-robot-control",
"path": "/src/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Hofsmo/SinFactory path: /sinfactory/pfresults.py
"""Module for handling power flow results."""
import pandas as pd
class PFResults(object):
"""Class containing power flow results."""
def __init__(self, grid):
"""Initialise the result class for power flow results.
Args:... | code_fim | hard | {
"lang": "python",
"repo": "Hofsmo/SinFactory",
"path": "/sinfactory/pfresults.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Get specified properties in a DF from a set of
units, i.e. loads"""
df = pd.DataFrame()
for unit in units.items():
for prop in properties:
df.at[unit[0], prop] = getattr(unit[1], prop)
return df<|fim_prefix|># repo: Hofsmo/SinFactory ... | code_fim | hard | {
"lang": "python",
"repo": "Hofsmo/SinFactory",
"path": "/sinfactory/pfresults.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: codeb2cc/noweibo path: /main.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# import traceback
from tornado import options, ioloop, web, process
from . import views
from .conf import setting
options.define('port', default=5000, type=int)
options.define('process', default=1, type=int)
opti... | code_fim | medium | {
"lang": "python",
"repo": "codeb2cc/noweibo",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> process_port = _port + process.task_id()
process_debug = _process_num <= 1 and _debug_level < 30
print('Service Running on %d ...' % process_port)
app = web.Application((
(r'/', views.base.IndexHandler),
(r'/home', views.base.HomeHandler),
(r'/auth/redirect', view... | code_fim | hard | {
"lang": "python",
"repo": "codeb2cc/noweibo",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: levabd/audio-search-engine path: /lib/helpers/files.py
import numpy as np
from pydub import AudioSegment
from pydub.utils import audioop
<|fim_suffix|> # pydub does not support 24-bit wav files, use wavio when this occurs
try:
audiofile = AudioSegment.from_file(filename)
... | code_fim | medium | {
"lang": "python",
"repo": "levabd/audio-search-engine",
"path": "/lib/helpers/files.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> audiofile = audiofile.T
audiofile = audiofile.astype(np.int16)
channels = []
for chn in audiofile:
channels.append(chn)
return channels, fs<|fim_prefix|># repo: levabd/audio-search-engine path: /lib/helpers/files.py
import numpy as np
from pydub impor... | code_fim | hard | {
"lang": "python",
"repo": "levabd/audio-search-engine",
"path": "/lib/helpers/files.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> channels = []
for chn in audiofile:
channels.append(chn)
return channels, fs<|fim_prefix|># repo: levabd/audio-search-engine path: /lib/helpers/files.py
import numpy as np
from pydub import AudioSegment
from pydub.utils import audioop
def loadfile(filename):
<|fim_m... | code_fim | hard | {
"lang": "python",
"repo": "levabd/audio-search-engine",
"path": "/lib/helpers/files.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.runs.append(time() - self.t)
def __call__(self, *args, **kwargs):
t = time()
ret_var = self.func(*args, **kwargs)
self.runs.append(time() - t)
return ret_var<|fim_prefix|># repo: SHYXIN/PythonMorsels path: /20-29/27. timer/timer.py
from contextlib import ... | code_fim | medium | {
"lang": "python",
"repo": "SHYXIN/PythonMorsels",
"path": "/20-29/27. timer/timer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SHYXIN/PythonMorsels path: /20-29/27. timer/timer.py
from contextlib import ContextDecorator
from statistics import mean, median
from time import time
class Timer(ContextDecorator):
def __init__(self, func=None):
self.runs = []
self.func = func
@property
def elapsed... | code_fim | medium | {
"lang": "python",
"repo": "SHYXIN/PythonMorsels",
"path": "/20-29/27. timer/timer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: madsenmj/deployment-ready-data-science path: /utils/powermodel_utils.py
import pandas as pd
import sqlalchemy as sql
import pyodbc
import os
from urllib.parse import quote_plus
from utils.ml_templates import MLSource, MLData
class SQLSource(MLSource):
def __init__(self, sql_configurati... | code_fim | hard | {
"lang": "python",
"repo": "madsenmj/deployment-ready-data-science",
"path": "/utils/powermodel_utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class CSVStoreData(MLData):
def __init__(self,location):
super().__init__()
self._location = location
def get(self):
df = pd.read_csv(self._location, encoding='utf-8')
return df
def set(self, data):
data.to_csv(self._location, encoding='utf-8', quoting=... | code_fim | hard | {
"lang": "python",
"repo": "madsenmj/deployment-ready-data-science",
"path": "/utils/powermodel_utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MarquesThiago/Manga_Downloader path: /src/Tools/Router/path.py
import os, sys
def abstract_path_now(file):
<|fim_suffix|> full_path_dir = abstract_path_now(file)
return os.path.join(full_path_dir, join)<|fim_middle|> full_path_file = os.path.abspath(file)
return os.path.dirname(ful... | code_fim | medium | {
"lang": "python",
"repo": "MarquesThiago/Manga_Downloader",
"path": "/src/Tools/Router/path.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> full_path_dir = abstract_path_now(file)
return os.path.join(full_path_dir, join)<|fim_prefix|># repo: MarquesThiago/Manga_Downloader path: /src/Tools/Router/path.py
import os, sys
def abstract_path_now(file):
full_path_file = os.path.abspath(file)
return os.path.dirname(full_path_file)
... | code_fim | easy | {
"lang": "python",
"repo": "MarquesThiago/Manga_Downloader",
"path": "/src/Tools/Router/path.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hsd1503/UnsupervisedScalableRepresentationLearningTimeSeries path: /main1.py
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The AS... | code_fim | hard | {
"lang": "python",
"repo": "hsd1503/UnsupervisedScalableRepresentationLearningTimeSeries",
"path": "/main1.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> save_memory=False):
"""
Creates a classifier from the given set of hyperparameters in the input
file, fits it and return it.
@param file Path of a file containing a set of hyperparemeters.
@param train Training set.
@param train_labels Labels for the traini... | code_fim | hard | {
"lang": "python",
"repo": "hsd1503/UnsupervisedScalableRepresentationLearningTimeSeries",
"path": "/main1.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> elif choice==7:
print("""
Name: Rectangle Area
Operation : Finding Area
Inputs : a->int/float b->float/int
Outputs: c=>a*b ->float
Author : varunpusarla
\n
""")
a = float(input("Enter a >... | code_fim | hard | {
"lang": "python",
"repo": "pccoeacm/all-calc",
"path": "/functions/Area.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pccoeacm/all-calc path: /functions/Area.py
def calc(should_print=False):
print("1. Square Area")
print("2. Square Perimeter")
print("3. Circle Area")
print("3. Circle Perimeter")
print("5. Triangle Area")
print("6. Triangle Perimeter")
print("7. Rectangle Area")
... | code_fim | hard | {
"lang": "python",
"repo": "pccoeacm/all-calc",
"path": "/functions/Area.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> result = {}
result['inputs'] = [a,b,c]
result['outputs'] = [a*b]
loop=False
elif choice==8:
print("""
Name: Rectangle Perimeter
Operation : Finding Perimeter
Inputs : a->int/float b->float/int
... | code_fim | hard | {
"lang": "python",
"repo": "pccoeacm/all-calc",
"path": "/functions/Area.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jpoullet2000/det path: /det/app.py
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
import logging
from flask import request
from pkg_resources import resource_filename
from credential... | code_fim | hard | {
"lang": "python",
"repo": "jpoullet2000/det",
"path": "/det/app.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>APP.app.json_encoder = encoder.JSONEncoder
APP.app.config.from_object(CONFIG_MODULE)
conf = APP.app.config
APP.add_api('swagger.yaml', host=conf['DET_WEBSERVER_ADDRESS'], resolver=RestyResolver('det'), arguments={'packageName': 'det', 'title': 'Data engineering toolkit API'})
cred_vars = ['ATLAS_LOGIN',... | code_fim | hard | {
"lang": "python",
"repo": "jpoullet2000/det",
"path": "/det/app.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: benitocm/practical-astronomy path: /src/myastro/cluegen.py
# cluegen.py
#
# Classes generated from type clues.
#
# https://github.com/dabeaz/cluegen
#
# Author: David Beazley (@dabeaz).
# http://www.dabeaz.com
#
# Copyright (C) 2018-2020.
#
# Permission is granted to use, copy, and... | code_fim | hard | {
"lang": "python",
"repo": "benitocm/practical-astronomy",
"path": "/src/myastro/cluegen.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> submethods = []
for name, val in cls._methods:
if name not in cls.__dict__:
setattr(cls, name, val)
submethods.append((name, val))
elif val is cls.__dict__[name]:
submethods.append((name, val))
if submethods !... | code_fim | hard | {
"lang": "python",
"repo": "benitocm/practical-astronomy",
"path": "/src/myastro/cluegen.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: viewthespace/mypy-stubs path: /src/airflow-stubs/contrib/hooks/gcp_translate_hook.pyi
from airflow.contrib.hooks.gcp_api_base_hook import GoogleCloudBaseHook as GoogleCloudBaseHook
from typing import Any
class CloudTranslateHook(GoogleCloudBaseHook):
<|fim_suffix|> def translate(self, values,... | code_fim | medium | {
"lang": "python",
"repo": "viewthespace/mypy-stubs",
"path": "/src/airflow-stubs/contrib/hooks/gcp_translate_hook.pyi",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def translate(self, values, target_language, format_: Any | None = ..., source_language: Any | None = ..., model: Any | None = ...): ...<|fim_prefix|># repo: viewthespace/mypy-stubs path: /src/airflow-stubs/contrib/hooks/gcp_translate_hook.pyi
from airflow.contrib.hooks.gcp_api_base_hook import Googl... | code_fim | easy | {
"lang": "python",
"repo": "viewthespace/mypy-stubs",
"path": "/src/airflow-stubs/contrib/hooks/gcp_translate_hook.pyi",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> s1 = s1 + A.T @ A
s2 = s2 + A.T * dt
# compliance
#k = np.linalg.lstsq(s1,s2)[0]
k = np.linalg.lstsq(s1, s2, rcond=-1)
print(dt.shape)<|fim_prefix|># repo: mohamedsayed18/Calibration path: /main.py
"""the main code for calibration"""
import numpy as np
import random
from deflection import def... | code_fim | hard | {
"lang": "python",
"repo": "mohamedsayed18/Calibration",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mohamedsayed18/Calibration path: /main.py
"""the main code for calibration"""
import numpy as np
import random
from deflection import deflection
from mat_a import mat_a
links = [1, 1, 1, 1]
exp = 3 # No. of experiments
forces = np.zeros((6, exp))
poses = np.zeros((3, exp))
defi = []
s1 = np.... | code_fim | hard | {
"lang": "python",
"repo": "mohamedsayed18/Calibration",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Migration(migrations.Migration):
dependencies = [
("api", "0083_remove_all_null_strings"),
("api", "0081_scratchorg_currently_reassigning_user"),
]
operations = []<|fim_prefix|># repo: anspaujd/Metecho path: /metecho/api/migrations/0084_merge_20200611_1311.py
# Genera... | code_fim | easy | {
"lang": "python",
"repo": "anspaujd/Metecho",
"path": "/metecho/api/migrations/0084_merge_20200611_1311.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: anspaujd/Metecho path: /metecho/api/migrations/0084_merge_20200611_1311.py
# Generated by Django 3.0.7 on 2020-06-11 13:11
from django.db import migrations
<|fim_suffix|> dependencies = [
("api", "0083_remove_all_null_strings"),
("api", "0081_scratchorg_currently_reassigning... | code_fim | easy | {
"lang": "python",
"repo": "anspaujd/Metecho",
"path": "/metecho/api/migrations/0084_merge_20200611_1311.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alefteris/aiohttp-debugtoolbar path: /aiohttp_debugtoolbar/__init__.py
from .middlewares import toolbar_middleware_factory, middleware
from .main import setup, APP_KEY
<|fim_suffix|>__all__ = ['setup', 'middleware', 'toolbar_middleware_factory', 'APP_KEY']<|fim_middle|>__version__ = '0.3.0'
| code_fim | easy | {
"lang": "python",
"repo": "alefteris/aiohttp-debugtoolbar",
"path": "/aiohttp_debugtoolbar/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>__all__ = ['setup', 'middleware', 'toolbar_middleware_factory', 'APP_KEY']<|fim_prefix|># repo: alefteris/aiohttp-debugtoolbar path: /aiohttp_debugtoolbar/__init__.py
from .middlewares import toolbar_middleware_factory, middleware
from .main import setup, APP_KEY
<|fim_middle|>__version__ = '0.3.0'
| code_fim | easy | {
"lang": "python",
"repo": "alefteris/aiohttp-debugtoolbar",
"path": "/aiohttp_debugtoolbar/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kohnakagawa/ghidra_scripts path: /ghidra9.2.1_pyi/ghidra/app/plugin/core/string/StringsAnalyzer.pyi
from typing import List
import ghidra.app.plugin.core.string
import ghidra.app.services
import ghidra.app.util.importer
import ghidra.framework.options
import ghidra.program.model.address
import gh... | code_fim | hard | {
"lang": "python",
"repo": "kohnakagawa/ghidra_scripts",
"path": "/ghidra9.2.1_pyi/ghidra/app/plugin/core/string/StringsAnalyzer.pyi",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @overload
def wait(self, __a0: long) -> None: ...
@overload
def wait(self, __a0: long, __a1: int) -> None: ...
@property
def alignment(self) -> int: ...
def __init__(self): ...
def added(self, __a0: ghidra.program.model.listing.Program, __a1: g... | code_fim | hard | {
"lang": "python",
"repo": "kohnakagawa/ghidra_scripts",
"path": "/ghidra9.2.1_pyi/ghidra/app/plugin/core/string/StringsAnalyzer.pyi",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>"""
from alembic import op
# revision identifiers, used by Alembic.
revision = "e161acce7727"
down_revision = "98e2968b63e4"
branch_labels = None
depends_on = None
def upgrade() -> None:
op.execute(
"create index if not exists idx_mv_facility_all_trading_interval_day_aest on mv_facility_all... | code_fim | medium | {
"lang": "python",
"repo": "zalihat/opennem",
"path": "/opennem/db/migrations/versions/e161acce7727_create_index_mv_facility_all_trading_.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zalihat/opennem path: /opennem/db/migrations/versions/e161acce7727_create_index_mv_facility_all_trading_.py
# pylint: disable=no-member
"""
Create index mv_facility_all_trading_interval
Revision ID: e161acce7727
Revises: 98e2968b63e4
Create Date: 2021-01-18 18:29:47.808544
"""
from alembic impo... | code_fim | hard | {
"lang": "python",
"repo": "zalihat/opennem",
"path": "/opennem/db/migrations/versions/e161acce7727_create_index_mv_facility_all_trading_.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def downgrade() -> None:
op.execute("drop index idx_mv_facility_all_trading_interval_day_aest;")<|fim_prefix|># repo: zalihat/opennem path: /opennem/db/migrations/versions/e161acce7727_create_index_mv_facility_all_trading_.py
# pylint: disable=no-member
"""
Create index mv_facility_all_trading_interv... | code_fim | hard | {
"lang": "python",
"repo": "zalihat/opennem",
"path": "/opennem/db/migrations/versions/e161acce7727_create_index_mv_facility_all_trading_.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>engine = create_engine(CONNECTION_STRING)
Base.metadata.create_all(engine)<|fim_prefix|># repo: mostafa-saeed/Udacity-Catalog-Project path: /database_setup.py
from sqlalchemy import create_engine
from models.main import Base
<|fim_middle|>from models.user import User
from models.item import Item
DB_SE... | code_fim | hard | {
"lang": "python",
"repo": "mostafa-saeed/Udacity-Catalog-Project",
"path": "/database_setup.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mostafa-saeed/Udacity-Catalog-Project path: /database_setup.py
from sqlalchemy import create_engine
from models.main import Base
<|fim_suffix|>DB_SERVER = 'localhost'
DB_USER = 'catalog'
DB_NAME = 'catalog'
DB_PASSWORD = '123'
CONNECTION_STRING = 'postgresql+psycopg2://' + DB_USER + ':' + DB_PA... | code_fim | easy | {
"lang": "python",
"repo": "mostafa-saeed/Udacity-Catalog-Project",
"path": "/database_setup.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Compile the VPCurve into a display-list
"""
# This code is not OpenGL 3.1 compatible
if self.pos.any():
dl = displaylist.DisplayList()
#XXX should do sanity checks here...
dl.start()
try:
pos = self.pos
... | code_fim | hard | {
"lang": "python",
"repo": "alexus37/AugmentedRealityChess",
"path": "/pythonAnimations/pyOpenGLChess/engineDirectory/oglc-env/lib/python2.7/site-packages/OpenGLContext/browser/vpcurve.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> glEnable( GL_COLOR_MATERIAL )
try:
glBegin( GL_LINE_STRIP )
try:
lastColor = None
for index in range(len(pos)):
point = pos[index]... | code_fim | hard | {
"lang": "python",
"repo": "alexus37/AugmentedRealityChess",
"path": "/pythonAnimations/pyOpenGLChess/engineDirectory/oglc-env/lib/python2.7/site-packages/OpenGLContext/browser/vpcurve.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Obtener tiempo del sistema
strftime('%H:%M:%S')
#Funciones que manipuen el tiempo
def tic():
myClock['text'] = strftime('%H:%M:%S')
tic()
def tac():
tic()
myClock.after(1000,tac)
tac()
root.mainloop()<|fim_prefix|># repo: jmongrio/DigitalClockpy path: /clock.py
#!/usr/bin/env python3
# ... | code_fim | medium | {
"lang": "python",
"repo": "jmongrio/DigitalClockpy",
"path": "/clock.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jmongrio/DigitalClockpy path: /clock.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#Import essential modules
from tkinter import *
from time import strftime
#Crear contenedor y titulo de ventana
root = Tk()
root.focus()
root.resizable(0, 0)
root.title("Digital Clock")
root.iconbitmap("favic... | code_fim | hard | {
"lang": "python",
"repo": "jmongrio/DigitalClockpy",
"path": "/clock.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Mostrar algún texto ficticio en la pantalla
myClock = Label(root, background='#fff', foreground="#808080")
myClock['text'] = 'XX:XX:XX'
myClock.grid(row=0, column=0)
name = Label(root, background='#fff', foreground="#808080")
name['text'] = 'By Jasón Mongrillo'
name.place(relx = 1.0, rely = 0.0, anchor=... | code_fim | medium | {
"lang": "python",
"repo": "jmongrio/DigitalClockpy",
"path": "/clock.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for symbol in dir(target_scope):
if symbol.startswith("_"):
continue
print(symbol)<|fim_prefix|># repo: notomo/dotfiles path: /vim/lua/thetto/handler/source/python/attribute.py
import importlib
import sys
<|fim_middle|>target = sys.argv[1]
if target == "":
target_scope = globals()["_... | code_fim | medium | {
"lang": "python",
"repo": "notomo/dotfiles",
"path": "/vim/lua/thetto/handler/source/python/attribute.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: notomo/dotfiles path: /vim/lua/thetto/handler/source/python/attribute.py
import importlib
import sys
<|fim_suffix|>for symbol in dir(target_scope):
if symbol.startswith("_"):
continue
print(symbol)<|fim_middle|>target = sys.argv[1]
if target == "":
target_scope = globals()["_... | code_fim | medium | {
"lang": "python",
"repo": "notomo/dotfiles",
"path": "/vim/lua/thetto/handler/source/python/attribute.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kobbyrythm/temperature_stories_django path: /.venv/lib/python3.7/site-packages/faker/providers/bank/ru_RU/__init__.py
from .. import Provider as BankProvider
class Provider(BankProvider):
"""Implement bank provider for ``ru_RU`` locale.
Sources for region codes, currency codes, and ban... | code_fim | hard | {
"lang": "python",
"repo": "kobbyrythm/temperature_stories_django",
"path": "/.venv/lib/python3.7/site-packages/faker/providers/bank/ru_RU/__init__.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> BIC is a bank identification code that is used in Russia.
See https://ru.wikipedia.org/wiki/Банковский_идентификационный_код.
"""
region = self.random_element(self.region_codes)
department_code = self.numerify(self.random_element(self.department_code_formats))
... | code_fim | hard | {
"lang": "python",
"repo": "kobbyrythm/temperature_stories_django",
"path": "/.venv/lib/python3.7/site-packages/faker/providers/bank/ru_RU/__init__.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SundaresanN/psuite-upython path: /blynk-examples/p3_rlogger.py
from Oled import oled
from pblynk import Blynk
import sntp, network
b=Blynk()
# rlogger
rlctr = 0
def Tfunc(st):
# write to (terminal style) rlogger at APP on vp 18
global rlctr
rlctr = rlctr+1
b.virtual_... | code_fim | medium | {
"lang": "python",
"repo": "SundaresanN/psuite-upython",
"path": "/blynk-examples/p3_rlogger.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>######################################################################################
# At APP:
# make terminal widget on that V18, fill whole phone screen,
# turn off its input box
# now it is a live-time remote log display screen rpi->app with rlogger.write()
# but server WONT indefinitely buffer m... | code_fim | medium | {
"lang": "python",
"repo": "SundaresanN/psuite-upython",
"path": "/blynk-examples/p3_rlogger.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def find(i, k, pre): # 当前为位数，当前找第几个数，前一个字符
letters = ['a', 'b', 'c']
if pre in letters:
letters.remove(pre) # 从a,b,c 中移除，上一个字符。确保相邻元素不同
index = k // 2 ** (n - 1 - i) # 整除获得下标，依据下标取当前位的字符
k = k % 2 ** (n - 1 - i) # 余数，作为新的k... | code_fim | hard | {
"lang": "python",
"repo": "yatengLG/leetcode-python",
"path": "/question_bank/the-k-th-lexicographical-string-of-all-happy-strings-of-length-n/the-k-th-lexicographical-string-of-all-happy-strings-of-length-n.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> all a开头 b开头 c开头
1 3*2**(1-1) = 3*1 1 1 1
2 3*2**(2-1) = 3*2 2 2 2
3 3*2**(3-1) = 3*4 4 4 4
4 3*2**(4-1) = 3*8 8 8 8
10 3*... | code_fim | hard | {
"lang": "python",
"repo": "yatengLG/leetcode-python",
"path": "/question_bank/the-k-th-lexicographical-string-of-all-happy-strings-of-length-n/the-k-th-lexicographical-string-of-all-happy-strings-of-length-n.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yatengLG/leetcode-python path: /question_bank/the-k-th-lexicographical-string-of-all-happy-strings-of-length-n/the-k-th-lexicographical-string-of-all-happy-strings-of-length-n.py
# -*- coding: utf-8 -*-
# @Author : LG
"""
执行用时：224 ms, 在所有 Python3 提交中击败了19.92% 的用户
内存消耗：17 MB, 在所有 Python3 提交中击败了2... | code_fim | medium | {
"lang": "python",
"repo": "yatengLG/leetcode-python",
"path": "/question_bank/the-k-th-lexicographical-string-of-all-happy-strings-of-length-n/the-k-th-lexicographical-string-of-all-happy-strings-of-length-n.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: imankgoyal/cosypose path: /cosypose/datasets/wrappers/augmentation_wrapper.py
from .base import SceneDatasetWrapper
class AugmentationWrapper(SceneDatasetWrapper):
def __init__(self, scene_ds, augmentation):
<|fim_suffix|> rgb, mask, obs = data
return self.augmentation(rgb, m... | code_fim | medium | {
"lang": "python",
"repo": "imankgoyal/cosypose",
"path": "/cosypose/datasets/wrappers/augmentation_wrapper.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> rgb, mask, obs = data
return self.augmentation(rgb, mask, obs)<|fim_prefix|># repo: imankgoyal/cosypose path: /cosypose/datasets/wrappers/augmentation_wrapper.py
from .base import SceneDatasetWrapper
class AugmentationWrapper(SceneDatasetWrapper):
<|fim_middle|> def __init__(self, sc... | code_fim | hard | {
"lang": "python",
"repo": "imankgoyal/cosypose",
"path": "/cosypose/datasets/wrappers/augmentation_wrapper.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>region_of_image = image[ 500:700, 500:700 ]
image[0:200, 0:200] = region_of_image
cv2.imshow('Image', image)
cv2.imshow('roi', region_of_image)
cv2.waitKey(0)
cv2.destroyAllWindows()<|fim_prefix|># repo: Golfyrs/ML.Study path: /IndirectlyRelated/OpenCV/image_operations.py
import numpy as np
import cv2
... | code_fim | easy | {
"lang": "python",
"repo": "Golfyrs/ML.Study",
"path": "/IndirectlyRelated/OpenCV/image_operations.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Golfyrs/ML.Study path: /IndirectlyRelated/OpenCV/image_operations.py
import numpy as np
import cv2
image = cv2.imread('watch.jpg', cv2.IMREAD_COLOR)
<|fim_suffix|>region_of_image = image[ 500:700, 500:700 ]
image[0:200, 0:200] = region_of_image
cv2.imshow('Image', image)
cv2.imshow('roi', regi... | code_fim | medium | {
"lang": "python",
"repo": "Golfyrs/ML.Study",
"path": "/IndirectlyRelated/OpenCV/image_operations.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: petarmaric/friendly_name_mixin path: /tests.py
from nose.tools import eq_
from friendly_name_mixin import FriendlyNameFromClassMixin
<|fim_suffix|> eq_(
IsHTML5BetterThanFlash11OrIsItMe().name,
'Is HTML5 Better Than Flash11 Or Is It Me'
)<|fim_middle|>def test_frie... | code_fim | medium | {
"lang": "python",
"repo": "petarmaric/friendly_name_mixin",
"path": "/tests.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> answer = 'yes'
eq_(
IsHTML5BetterThanFlash11OrIsItMe().name,
'Is HTML5 Better Than Flash11 Or Is It Me'
)<|fim_prefix|># repo: petarmaric/friendly_name_mixin path: /tests.py
from nose.tools import eq_
from friendly_name_mixin import FriendlyNameFromClassMixin
... | code_fim | medium | {
"lang": "python",
"repo": "petarmaric/friendly_name_mixin",
"path": "/tests.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MartinBCN/CifarSolver path: /CifarClassifier/dashboard/tabs/tab_random_image.py
import base64
import json
import os
from pathlib import Path
import random
import flask
from PIL import Image
import requests
from dash.dependencies import Output, Input
<|fim_suffix|> image_filename = f'{fn}'
... | code_fim | hard | {
"lang": "python",
"repo": "MartinBCN/CifarSolver",
"path": "/CifarClassifier/dashboard/tabs/tab_random_image.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
image_filename = f'{fn}'
encoded_image = base64.b64encode(open(image_filename, 'rb').read())
# Send image
url = 'http://localhost:8000/predict'
name_img = os.path.basename(fn)
files = {
'file': (name_img,
open(fn, 'rb').read(),
"image/p... | code_fim | medium | {
"lang": "python",
"repo": "MartinBCN/CifarSolver",
"path": "/CifarClassifier/dashboard/tabs/tab_random_image.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Send image
url = 'http://localhost:8000/predict'
name_img = os.path.basename(fn)
files = {
'file': (name_img,
open(fn, 'rb').read(),
"image/png")
}
with requests.Session() as s:
r = s.post(url, files=files)
likely_class... | code_fim | hard | {
"lang": "python",
"repo": "MartinBCN/CifarSolver",
"path": "/CifarClassifier/dashboard/tabs/tab_random_image.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aphearin/halotools path: /halotools/empirical_models/smhm_models/tests/test_zu_mandelbaum15.py
"""
"""
from __future__ import division, print_function, absolute_import, unicode_literals
import numpy as np
from ...smhm_models import ZuMandelbaum15SmHm
<|fim_suffix|> model = ZuMandelbaum15Sm... | code_fim | easy | {
"lang": "python",
"repo": "aphearin/halotools",
"path": "/halotools/empirical_models/smhm_models/tests/test_zu_mandelbaum15.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
__all__ = ('test_mc_scatter1', )
def test_mc_scatter1():
model = ZuMandelbaum15SmHm(redshift=0)
sm = model.mc_stellar_mass(prim_haloprop=1e12)<|fim_prefix|># repo: aphearin/halotools path: /halotools/empirical_models/smhm_models/tests/test_zu_mandelbaum15.py
"""
"""
from __future__ import divi... | code_fim | easy | {
"lang": "python",
"repo": "aphearin/halotools",
"path": "/halotools/empirical_models/smhm_models/tests/test_zu_mandelbaum15.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> for key, metadata in output_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(outputs.traits()[key], metakey), value<|fim_prefix|># repo: swederik/nipype path: /nipype/interfaces/mrtrix/tests/test_auto_FSL2MRTrix.py
# AUTO-GENERATED by tools/checkspe... | code_fim | medium | {
"lang": "python",
"repo": "swederik/nipype",
"path": "/nipype/interfaces/mrtrix/tests/test_auto_FSL2MRTrix.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: swederik/nipype path: /nipype/interfaces/mrtrix/tests/test_auto_FSL2MRTrix.py
# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
from nipype.testing import assert_equal
from nipype.interfaces.mrtrix.tensors import FSL2MRTrix
def test_FSL2MRTrix_inputs():
input_map = dict(bval_file=dict(ma... | code_fim | medium | {
"lang": "python",
"repo": "swederik/nipype",
"path": "/nipype/interfaces/mrtrix/tests/test_auto_FSL2MRTrix.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> resp2 = requests.get(
"{}/templates/get".format(notebook_server), params={"template": name}
)
assert resp2.status_code == 200, resp.content
data = resp2.json()
assert data["name"] == name
assert data["dirname"] == "/example-jupyter-notebooks.git"
assert json.loads(data[... | code_fim | hard | {
"lang": "python",
"repo": "AndersonReyes/jupyterlab_templates",
"path": "/jupyterlab_templates/tests/test_git_repos.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> dir = os.path.abspath(
os.path.join(os.path.dirname(__file__), "..", "git-templates", name[1:])
)
assert data["path"] == dir<|fim_prefix|># repo: AndersonReyes/jupyterlab_templates path: /jupyterlab_templates/tests/test_git_repos.py
import json
import os
import requests
def test_se... | code_fim | hard | {
"lang": "python",
"repo": "AndersonReyes/jupyterlab_templates",
"path": "/jupyterlab_templates/tests/test_git_repos.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AndersonReyes/jupyterlab_templates path: /jupyterlab_templates/tests/test_git_repos.py
import json
import os
import requests
def test_server_loaded_notebooks(notebook_server):
name = "/example-jupyter-notebooks.git/01-MPI-monte-carlo-pi.ipynb"
resp = requests.get(
"{}/template... | code_fim | hard | {
"lang": "python",
"repo": "AndersonReyes/jupyterlab_templates",
"path": "/jupyterlab_templates/tests/test_git_repos.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dbeckdorf/django-project-template-py3 path: /base/cron.py
# django cron
from django_cron import CronJobBase
from django_cron import CronJobManager
<|fim_suffix|> silent = False
with CronJobManager(cls, silent) as manager:
lock = manager.lock_class(cls, manager.silent)... | code_fim | medium | {
"lang": "python",
"repo": "dbeckdorf/django-project-template-py3",
"path": "/base/cron.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@classmethod
def release(cls):
silent = False
with CronJobManager(cls, silent) as manager:
lock = manager.lock_class(cls, manager.silent)
lock.release()<|fim_prefix|># repo: dbeckdorf/django-project-template-py3 path: /base/cron.py
# django cron
from djang... | code_fim | easy | {
"lang": "python",
"repo": "dbeckdorf/django-project-template-py3",
"path": "/base/cron.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def negedge():
global cycles
cycles += 1
veri.force('tb.cycles',str(cycles))
if (cycles>1000):
veri.finish()
rst_n = veri.peek('tb.rst_n')
if (rst_n!='1'):
return
if (cycles==30):
veri.listing('tb','100','deep.list')
if (cycles>30):
for Mo... | code_fim | hard | {
"lang": "python",
"repo": "greenblat/vlsistuff",
"path": "/python-verilog/examples/firewall/tb/verilog.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: greenblat/vlsistuff path: /python-verilog/examples/firewall/tb/verilog.py
import os,sys,string,random
import veri
NewName = os.path.expanduser('~')
sys.path.append('%s/verification_libs'%NewName)
import logs
Monitors=[]
cycles=0
class driverMonitor:
def __init__(self,Path,Monitors):
... | code_fim | hard | {
"lang": "python",
"repo": "greenblat/vlsistuff",
"path": "/python-verilog/examples/firewall/tb/verilog.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hichamjanati/debiased-ot-barycenters path: /otbar/otbar/tests/test_barycenter.py
import torch
# import pytest
from otbar import Distribution, Barycenter
torch.set_default_tensor_type(torch.DoubleTensor)
def test_barycenter():
# generate a distribution with three points
mu_support = ... | code_fim | hard | {
"lang": "python",
"repo": "hichamjanati/debiased-ot-barycenters",
"path": "/otbar/otbar/tests/test_barycenter.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> Barycenter(nus, init_bary, support_budget=init_size + 2)
# try:
# bary.performFrankWolfe(4)
# except Exception as msg:
# if msg.args[0] != "You are using a 'virtual' argminGradient method.
# This is doing nothing":
# raise Exception('Error in testFW')<|fim_pref... | code_fim | hard | {
"lang": "python",
"repo": "hichamjanati/debiased-ot-barycenters",
"path": "/otbar/otbar/tests/test_barycenter.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> bary = Barycenter([mu0, mu1, mu2], bary=bary_init)
bary._computeSinkhorn()
def test_FW():
sizes = [10, 20, 14]
nus = [Distribution(torch.randn(s, 2), torch.rand(s, 1)).normalize()
for s in sizes]
init_size = 3
init_bary = Distribution(torch.randn(init_size, 2),
... | code_fim | hard | {
"lang": "python",
"repo": "hichamjanati/debiased-ot-barycenters",
"path": "/otbar/otbar/tests/test_barycenter.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|># The master toctree document.
master_doc = 'index'
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.doctest',
'sphinx.ext.intersphinx',
'sph... | code_fim | medium | {
"lang": "python",
"repo": "OpenCMISS/manage",
"path": "/docs/conf.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OpenCMISS/manage path: /docs/conf.py
# All configuration values have a default; values that are commented out
# serve to show the default.
import sys
import os
import shlex
<|fim_suffix|># -- General configuration ------------------------------------------------
#cmake_min_version = '3.3'
#ex... | code_fim | hard | {
"lang": "python",
"repo": "OpenCMISS/manage",
"path": "/docs/conf.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: djangoUnUnSharded/django-sharded path: /sharded/db/models/fields.py
"""
Copyright 2016 Vimal Aravindashan
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.apach... | code_fim | hard | {
"lang": "python",
"repo": "djangoUnUnSharded/django-sharded",
"path": "/sharded/db/models/fields.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
class SingleRelatedObjectDescriptorReturnsNone(fields.related.SingleRelatedObjectDescriptor):
def __get__(self, instance, instance_type=None):
try:
return super(SingleRelatedObjectDescriptorReturnsNone, self).__get__(instance, instance_type=instance_type)
except O... | code_fim | hard | {
"lang": "python",
"repo": "djangoUnUnSharded/django-sharded",
"path": "/sharded/db/models/fields.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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