text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: thanhdat369/adc-detect-lane path: /test_detect_on_pi.py
from cv2 import cv2
import time
from config import system_config as sys_cfg
from camera.camera import CameraGet
from sign_detect.ssd.ssd_detect_thread import SSDDetectThread
CAMERA_INDEX = sys_cfg.CAMERA_INDEX
<|fim_suffix|>
if fr... | code_fim | hard | {
"lang": "python",
"repo": "thanhdat369/adc-detect-lane",
"path": "/test_detect_on_pi.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> key = cv2.waitKey(1)
if(key==ord('q')):
break
#Set_frame
frame = cam.frame
detect_sign.frame = frame
#Set_image
final_image = detect_sign.final_image
if frame is not None and final_image is not None:
cv2.ims... | code_fim | medium | {
"lang": "python",
"repo": "thanhdat369/adc-detect-lane",
"path": "/test_detect_on_pi.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sling254/Pre-Natal_care path: /Pre_Natal_care/maternal_care/migrations/0001_initial.py
# Generated by Django 3.1.2 on 2021-08-02 20:24
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
mig... | code_fim | hard | {
"lang": "python",
"repo": "sling254/Pre-Natal_care",
"path": "/Pre_Natal_care/maternal_care/migrations/0001_initial.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>'positive', 'positive')], max_length=50)),
('Rh_factor', models.CharField(max_length=50)),
('Diabetes', models.CharField(max_length=50)),
('Hepatitis_B', models.CharField(max_length=50)),
('pregnancy_test', models.CharField(choices=[('negativ... | code_fim | hard | {
"lang": "python",
"repo": "sling254/Pre-Natal_care",
"path": "/Pre_Natal_care/maternal_care/migrations/0001_initial.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>omment', models.TextField(max_length=100)),
('breast_pelvic', models.CharField(max_length=50)),
('baby_HeartBeart_rate', models.CharField(max_length=50)),
('cervical_exam', models.CharField(max_length=50)),
('sti', models.CharField(max_length... | code_fim | hard | {
"lang": "python",
"repo": "sling254/Pre-Natal_care",
"path": "/Pre_Natal_care/maternal_care/migrations/0001_initial.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dthadi3/aiohttp-wsgi path: /tests/base.py
import unittest
from collections import namedtuple
from contextlib import contextmanager
from tempfile import NamedTemporaryFile
import aiohttp
from aiohttp_wsgi.wsgi import run_server
from aiohttp_wsgi.utils import parse_sockname
Response = namedtuple(... | code_fim | hard | {
"lang": "python",
"repo": "dthadi3/aiohttp-wsgi",
"path": "/tests/base.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> response = self.request(*args, data=data, **kwargs)
self._test_case.assertEqual(response.status, 200)
def noop_application(environ, start_response):
start_response("200 OK", [
("Content-Type", "text/plain"),
])
return []
def echo_application(environ, start_response)... | code_fim | hard | {
"lang": "python",
"repo": "dthadi3/aiohttp-wsgi",
"path": "/tests/base.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CMFiltenborg/satsense path: /satsense/image.py
"""
Methods for loading images
"""
import math
import warnings
import numpy as np
from osgeo import gdal
from six import iteritems
from skimage import color, img_as_ubyte
from skimage.feature import canny
from skimage.filters.rank import equalize
f... | code_fim | hard | {
"lang": "python",
"repo": "CMFiltenborg/satsense",
"path": "/satsense/image.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @property
def name(self):
return self.__name
@staticmethod
def load_from_file(path, bands):
"""
Loads the specified path from file and loads the bands into a numpy array
@returns dataset The raw gdal dataset
image The image loaded as a nump... | code_fim | hard | {
"lang": "python",
"repo": "CMFiltenborg/satsense",
"path": "/satsense/image.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Context processor for pattern library URL."""
return {
"PATTERN_LIBRARY_URL": settings.PATTERN_LIBRARY_URL,
}<|fim_prefix|># repo: iamtomc/IATI-Standard-Website path: /iati/context_processors.py
"""Module containing custom context processors for IATI's website."""
from django.conf ... | code_fim | easy | {
"lang": "python",
"repo": "iamtomc/IATI-Standard-Website",
"path": "/iati/context_processors.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: iamtomc/IATI-Standard-Website path: /iati/context_processors.py
"""Module containing custom context processors for IATI's website."""
from django.conf import settings
<|fim_suffix|> """Context processor for pattern library URL."""
return {
"PATTERN_LIBRARY_URL": settings.PATTERN_L... | code_fim | easy | {
"lang": "python",
"repo": "iamtomc/IATI-Standard-Website",
"path": "/iati/context_processors.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: paulray/NICERsoft path: /scripts/merge.py
#!/usr/bin/env python
import os, sys
import matplotlib.pyplot as plt
import numpy as np
import argparse
from astropy import log
from os import path
from glob import glob
from subprocess import check_call
import shutil
from astropy.table import Table
from ... | code_fim | hard | {
"lang": "python",
"repo": "paulray/NICERsoft",
"path": "/scripts/merge.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Make final merged clean plot
log.info("Making Science Plots of merged event file")
cmd = [
"nicerql.py",
"--save",
"--merge",
"--sci",
outname,
"--allspec",
"--alllc",
"--lcbinsize",
"{}".format(args.lcbinsize),
"--basename",
path.splitext(outname)[0],
]
runcm... | code_fim | hard | {
"lang": "python",
"repo": "paulray/NICERsoft",
"path": "/scripts/merge.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> super(Asteroid, self).__init__()
if size == None:
self.__size = random.randint(1, 3)
else:
self.__size = size
angle = random.uniform(0, 2*math.pi)
speed = random.randint(100, 400)
self.__velocity = scale_vec(speed, (math.cos(angle), math.sin(angle)))
self.set_position(position)
self.... | code_fim | medium | {
"lang": "python",
"repo": "NelsonCory/StarBlasters",
"path": "/src/gui/entity/asteroid.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NelsonCory/StarBlasters path: /src/gui/entity/asteroid.py
from . entity import *
from core.event_manager import *
from core.resource_manager import *
from utils.vector import *
import math
import pygame
import random
<|fim_suffix|>
SCORE = [50, 25, 10]
def __init__(self, size=None, position=(... | code_fim | medium | {
"lang": "python",
"repo": "NelsonCory/StarBlasters",
"path": "/src/gui/entity/asteroid.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pos = add_vecs(self.get_position(), (cx, cy))
screen.blit(self.get_texture(), pos)
def split(self):
scene = self.get_scene()
EventManager.get_instance().send("award_score", Asteroid.SCORE[self.__size-1])
if self.__size > 1:
scene.add_entity(Asteroid(self.__size - 1, self.get_position()))
... | code_fim | hard | {
"lang": "python",
"repo": "NelsonCory/StarBlasters",
"path": "/src/gui/entity/asteroid.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tensorflow/probability path: /tensorflow_probability/python/math/bessel.py
1mv
def _temme_series(v, z, output_log_space=False):
"""Computes Kve(v, z) and Kve(v + 1., z) via Power series expansion."""
# This is based on:
# [1] N. Temme, On the Numerical Evaluation of the Modified Bessel Fu... | code_fim | hard | {
"lang": "python",
"repo": "tensorflow/probability",
"path": "/tensorflow_probability/python/math/bessel.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tensorflow/probability path: /tensorflow_probability/python/math/bessel.py
62737, 0.,
-2499.8304818112092, 0., 24.380529699556064, 0., 0., 0., 0., 0.,
0., 0., 0., 0.0],
[3284469.8530720375, 0., -19706819.11843222, 0., 50952602.492664628,
0., -74105148.211532637, 0., 66344512.27... | code_fim | hard | {
"lang": "python",
"repo": "tensorflow/probability",
"path": "/tensorflow_probability/python/math/bessel.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> should_stop,
index,
partial_numerator,
partial_denominator,
denominator_ratio,
convergent_difference,
hypergeometric_ratio,
# Terms for recurrence in 6.7.36 in [3].
k_0,
k_1,
# Intermediate coefficient in 6.7.30 in [3].
c,
# Int... | code_fim | hard | {
"lang": "python",
"repo": "tensorflow/probability",
"path": "/tensorflow_probability/python/math/bessel.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # SONDAS_AOA
self.NUMERO_DE_SONDAS_AOA = 1
self.NOME_DAS_SONDAS_AOA = ['Sonda AoA 0']
self.APELIDO_DAS_SONDAS_AOA = ["aoa0"]
self.CALFACTS_DAS_SONDAS_AOA = [[5.0, 0.834]]
self.APELIDO_PITOTS_AOA = [['pt3', 'pt2']]
# CELULAS
self.NUMERO_D... | code_fim | hard | {
"lang": "python",
"repo": "solkan1201/Vivace",
"path": "/code/libs/configurador.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.CALFACTS_DAS_CELULAS = [64100.0, 22100.0, 19600.0, 21500.0, 21400.0]
# CONFIGURACOES DE TESTE
self.NOME_DA_AERONAVE = 'Aeronave de teste'
self.LOCAL_DE_VOO = 'Local de teste'
self.TEMPERATURA = 'NaN'
self.ANGULO_INCIDENCIA_ASA = 'NaN'
self.ANGU... | code_fim | hard | {
"lang": "python",
"repo": "solkan1201/Vivace",
"path": "/code/libs/configurador.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: solkan1201/Vivace path: /code/libs/configurador.py
import os
class Configurador(object):
def __init__(self):
# GERAIS
self.NOME_DO_ARQUIVO = 'Bancada'
self.PASTA_DESTINO = os.path.expanduser('~/Documents/DadosBancada')
self.LISTA_SENSORES = ['GERAL', 'ARDUI... | code_fim | medium | {
"lang": "python",
"repo": "solkan1201/Vivace",
"path": "/code/libs/configurador.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mzy2240/learning-DD path: /models/maxcut-random/maxcut_evaluate_random.py
import numpy as np
import networkx as nx
import pickle as cp
import random
import ctypes
import os
import sys
import time
import glob
import re
sys.path.append( '%s/code' % os.path.dirname(os.path.realpath(__file__)) )
fr... | code_fim | hard | {
"lang": "python",
"repo": "mzy2240/learning-DD",
"path": "/models/maxcut-random/maxcut_evaluate_random.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> result_file = '%s/test-g_type-%s-density-%s-nodes-%s-%s.csv' % (path, opt['test_g_type'], opt['test_density'], opt['test_min_n'], opt['test_max_n'])
with open(result_file, 'w') as f_out:
sys.stdout.flush()
idx = 0
f_out.write("seed,graph_type,density,nodes,width,bound,ord... | code_fim | hard | {
"lang": "python",
"repo": "mzy2240/learning-DD",
"path": "/models/maxcut-random/maxcut_evaluate_random.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert model_file is not None
sys.stdout.flush()
api.LoadModel(model_file)
#Initialize seed for test
seed = int(opt['seed'])
np.random.seed(seed)
path = '%s/eval' % opt['save_dir']
if not os.path.exists(path):
os.mkdir(path)
result_file = '%s/test-g_type-%s... | code_fim | hard | {
"lang": "python",
"repo": "mzy2240/learning-DD",
"path": "/models/maxcut-random/maxcut_evaluate_random.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: geekodour/pinterest-dashbot path: /src/bot/follow_users_boards.py
import json
import os
import random
import time
import os
from core import pinBot
bot_dir = os.path.dirname(__file__)
with open(os.path.join(bot_dir,'pinterestBot.json')) as json_data:
bot_config = json.load(json_data)
bot =<... | code_fim | hard | {
"lang": "python",
"repo": "geekodour/pinterest-dashbot",
"path": "/src/bot/follow_users_boards.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> bot.followUser(user)
time.sleep(1) # maybe randomize
# follow boards
for board in random.sample(boardIds,bot_config['board']['follow']):
bot.followBoard(board)
time.sleep(1) # maybe randomize<|fim_prefix|># repo: geekodour/pinterest-dashbot path: /src/bot/follow_use... | code_fim | hard | {
"lang": "python",
"repo": "geekodour/pinterest-dashbot",
"path": "/src/bot/follow_users_boards.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>arch_box = driver.find_element_by_name('q')
search_box.send_keys('ChromeDriver')
search_box.submit()
time.sleep(5)
driver.quit()<|fim_prefix|># repo: Rina81/Selenium1 path: /Task1-test1.py
import time
from selenium import webdriver
driver = webdriver.Ch<|fim_middle|>rome()
driver.get('http://www.m... | code_fim | medium | {
"lang": "python",
"repo": "Rina81/Selenium1",
"path": "/Task1-test1.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Rina81/Selenium1 path: /Task1-test1.py
import time
from selenium import webdriver
driver = webdriver.Ch<|fim_suffix|>arch_box = driver.find_element_by_name('q')
search_box.send_keys('ChromeDriver')
search_box.submit()
time.sleep(5)
driver.quit()<|fim_middle|>rome()
driver.get('http://www.m... | code_fim | medium | {
"lang": "python",
"repo": "Rina81/Selenium1",
"path": "/Task1-test1.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>'ChromeDriver')
search_box.submit()
time.sleep(5)
driver.quit()<|fim_prefix|># repo: Rina81/Selenium1 path: /Task1-test1.py
import time
from selenium import webdriver
driver = webdriver.Ch<|fim_middle|>rome()
driver.get('http://www.mail.ru/xhtml');
time.sleep(5)
search_box = driver.find_element_b... | code_fim | medium | {
"lang": "python",
"repo": "Rina81/Selenium1",
"path": "/Task1-test1.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> X_train['target'] = 0
X_test['target'] = 1
auc, importance = adversarial_validate(X_train, X_test)
assert importance['feature'][0] == 'target'
assert auc >= 0.9<|fim_prefix|># repo: nyanp/nyaggle path: /tests/validation/test_adversarial_validate.py
from sklearn.model_selection impor... | code_fim | hard | {
"lang": "python",
"repo": "nyanp/nyaggle",
"path": "/tests/validation/test_adversarial_validate.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nyanp/nyaggle path: /tests/validation/test_adversarial_validate.py
from sklearn.model_selection import train_test_split
<|fim_suffix|>
def test_adv():
X, y = make_classification_df(1024)
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.5, random_state=0)
X_train... | code_fim | medium | {
"lang": "python",
"repo": "nyanp/nyaggle",
"path": "/tests/validation/test_adversarial_validate.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
Input: 1. ckpt - Path to existing checkpoint. If present, returns only the subset of
variables that exist in given checkpoint.
Output: Returns list of variables that should be saved/restored
Description:
List of all variables that need to be saved/restored.
'''
mo... | code_fim | hard | {
"lang": "python",
"repo": "sanket1414/Priority-Based-Alert-System",
"path": "/Depth_Model/util.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sanket1414/Priority-Based-Alert-System path: /Depth_Model/util.py
""" Contains common utilities and functions """
import locale
import os
import re
from absl import logging
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
import c... | code_fim | hard | {
"lang": "python",
"repo": "sanket1414/Priority-Based-Alert-System",
"path": "/Depth_Model/util.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def validate(cls, status, new_status):
" Validate workflow "
if not status:
return new_status
if repr(status) == repr(new_status):
return new_status
if not cls._rules.get(status) or \
new_status not in cls._rules.get(status):
... | code_fim | hard | {
"lang": "python",
"repo": "valdergallo/django-choices-flow",
"path": "/django_choices_flow/base.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: valdergallo/django-choices-flow path: /django_choices_flow/base.py
# -*- coding: utf-8 -*-
try:
from django.conf import settings
except ImportError:
settings = None
if hasattr(settings, 'DJANGO_CHOICES_FLOW_ERROR_MESSAGE'):
DEFAULT_DJANGO_CHOICES_FLOW_ERROR_MESSAGE = settings.DJANGO_... | code_fim | hard | {
"lang": "python",
"repo": "valdergallo/django-choices-flow",
"path": "/django_choices_flow/base.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> @error_msg.setter
def error_msg(cls, value):
"set default error message for instance"
cls.__validate_msg = value
def get_value(cls, key):
return cls._hash.get(key)
def validate(cls, status, new_status):
" Validate workflow "
if not status:
... | code_fim | hard | {
"lang": "python",
"repo": "valdergallo/django-choices-flow",
"path": "/django_choices_flow/base.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: altairengineering/pkr path: /pkr/__main__.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright© 1986-2018 Altair Engineering Inc.
"""Main module.
This calls the main function. This is designed to be used as a command line.
To display the help, run: pkr --help.
"""
import sys
import trac... | code_fim | medium | {
"lang": "python",
"repo": "altairengineering/pkr",
"path": "/pkr/__main__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
"""Main function"""
try:
parser = get_parser()
cli_args = parser.parse_args()
log.set_debug(cli_args.debug)
set_use_env_var(not cli_args.no_env_var)
cli_args.func(cli_args)
except Exception as exc: # pylint: disable=W0703
# Here we d... | code_fim | hard | {
"lang": "python",
"repo": "altairengineering/pkr",
"path": "/pkr/__main__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> x: bytes32 = keccak256("moose", 3)
""",
]
@pytest.mark.parametrize('bad_code', fail_list)
def test_invalid_literal_exception(bad_code):
with pytest.raises(ArgumentException):
compiler.compile_code(bad_code)<|fim_prefix|># repo: andrelfpinto/vyper path: /tests/parser/exceptions/test_... | code_fim | medium | {
"lang": "python",
"repo": "andrelfpinto/vyper",
"path": "/tests/parser/exceptions/test_argument_exception.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: andrelfpinto/vyper path: /tests/parser/exceptions/test_argument_exception.py
import pytest
from vyper import compiler
from vyper.exceptions import ArgumentException
<|fim_suffix|>@pytest.mark.parametrize('bad_code', fail_list)
def test_invalid_literal_exception(bad_code):
with pytest.raises... | code_fim | hard | {
"lang": "python",
"repo": "andrelfpinto/vyper",
"path": "/tests/parser/exceptions/test_argument_exception.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ManuelHuber-Github/yeoda path: /src/yeoda/errors.py
# Copyright (c) 2019, Vienna University of Technology (TU Wien), Department of
# Geodesy and Geoinformation (GEO).
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provid... | code_fim | hard | {
"lang": "python",
"repo": "ManuelHuber-Github/yeoda",
"path": "/src/yeoda/errors.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.message
class TileNotAvailable(Exception):
""" Class to handle exceptions thrown by unknown tile names of a grid."""
def __init__(self, tilename):
"""
Constructor of `DimensionUnknown`.
Parameters
----------
tilename : str
... | code_fim | hard | {
"lang": "python",
"repo": "ManuelHuber-Github/yeoda",
"path": "/src/yeoda/errors.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ String representation of this class. """
return self.message
class LoadingDataError(IOError):
""" Class to handle exceptions thrown when it is not possible to read data."""
def __init__(self):
"""Constructor of `LoadingDataError`."""
self.message = "Failed ... | code_fim | hard | {
"lang": "python",
"repo": "ManuelHuber-Github/yeoda",
"path": "/src/yeoda/errors.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not isinstance(index_offset, int) or index_offset < 0:
raise TypeError('Index offset must be an unsigned integer')
self._native.set_primitive_index_offset(index_offset)
def get_primitive_index_offset(self):
return self._native.get_primitive_index_offset()
... | code_fim | hard | {
"lang": "python",
"repo": "MathGaron/PyOptiX",
"path": "/pyoptix/geometry.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self._intersection_program = program
self._native.set_intersection_program(program._native)
def get_intersection_program(self):
return self._intersection_program
def validate(self):
self._native.validate()<|fim_prefix|># repo: MathGaron/PyOptiX path: /pyoptix/geo... | code_fim | hard | {
"lang": "python",
"repo": "MathGaron/PyOptiX",
"path": "/pyoptix/geometry.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MathGaron/PyOptiX path: /pyoptix/geometry.py
from pyoptix.context import current_context
from pyoptix.mixins.graphnode import GraphNodeMixin
from pyoptix.mixins.scoped import ScopedObject
from pyoptix.mixins.hascontext import HasContextMixin
class Geometry(GraphNodeMixin, ScopedObject, HasConte... | code_fim | hard | {
"lang": "python",
"repo": "MathGaron/PyOptiX",
"path": "/pyoptix/geometry.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if args.verbose:
print 'Number of absorbers: %d' % absorber_redshifts.shape[0]
print 'Mean number per target: %.2f' % (absorber_redshifts.shape[0]/len(target_list))
print 'Mean absorber redshift: %.4f' % np.mean(absorber_redshifts)
print 'Mean transimission: %.4f' % np.... | code_fim | hard | {
"lang": "python",
"repo": "dmargala/qusp",
"path": "/examples/estimate_lya_deltas.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dmargala/qusp path: /examples/estimate_lya_deltas.py
#!/usr/bin/env python
"""
"""
import argparse
import numpy as np
import scipy.stats
import scipy.interpolate
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import h5py
import qusp
def main():
# parse command-li... | code_fim | hard | {
"lang": "python",
"repo": "dmargala/qusp",
"path": "/examples/estimate_lya_deltas.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> plt.hist2d(absorber_redshifts, absorber_transmissions,
weights=absorber_weights, bins=[zbins, trans_bins], cmap='Greens')
plt.plot(zbin_centers, mean_transmission, 'b.')
plt.plot(zbin_centers, mean_transmission_interp(zbin_centers), 'r-')
plt.xlabel('absorber redshift')
plt.y... | code_fim | hard | {
"lang": "python",
"repo": "dmargala/qusp",
"path": "/examples/estimate_lya_deltas.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: trisduong/trove-develop path: /trove/tests/unittests/metadata/test_metadata_controller.py
# Copyright 2014 Rackspace
# All Rights Reserved.
#
# 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
#... | code_fim | hard | {
"lang": "python",
"repo": "trisduong/trove-develop",
"path": "/trove/tests/unittests/metadata/test_metadata_controller.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_validate_create_metadata(self):
body = {
"metadata": {
"ids": [],
"name": "test",
"failover": {
"instance-1": True,
"instance-2": False
}
}
}
... | code_fim | hard | {
"lang": "python",
"repo": "trisduong/trove-develop",
"path": "/trove/tests/unittests/metadata/test_metadata_controller.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pfjob09/datascience path: /datascience/tests.py
from numpy.random import permutation
<|fim_suffix|> all_samples = observed.append(expected)
n_obs = len(observed)
values = []
for i in range(n_samples):
samples = permutation(all_samples)
values.append(stat_func(samp... | code_fim | medium | {
"lang": "python",
"repo": "pfjob09/datascience",
"path": "/datascience/tests.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> all_samples = observed.append(expected)
n_obs = len(observed)
values = []
for i in range(n_samples):
samples = permutation(all_samples)
values.append(stat_func(samples[:n_obs], samples[n_obs:]))
return values<|fim_prefix|># repo: pfjob09/datascience path: /datascience/... | code_fim | medium | {
"lang": "python",
"repo": "pfjob09/datascience",
"path": "/datascience/tests.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FGtatsuro/myatcoder path: /regular_contest/081/C.py
import sys
input = sys.stdin.readline
sys.setrecursionlimit(10 ** 7)
from collections import Counter<|fim_suffix|>a) < 2:
print(0)
sys.exit(0)
else:
k = sorted(a.keys(), reverse=True)
if a[k[0]] >= 4:
print(k[0] ** 2)
... | code_fim | medium | {
"lang": "python",
"repo": "FGtatsuro/myatcoder",
"path": "/regular_contest/081/C.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
print(k[0] ** 2)
sys.exit(0)
else:
print(k[0] * k[1])
sys.exit(0)<|fim_prefix|># repo: FGtatsuro/myatcoder path: /regular_contest/081/C.py
import sys
input = sys.stdin.readline
sys.setrecursionlimit(10 ** 7)
from collections import Counter<|fim_middle|>
n = int(input... | code_fim | hard | {
"lang": "python",
"repo": "FGtatsuro/myatcoder",
"path": "/regular_contest/081/C.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>a) < 2:
print(0)
sys.exit(0)
else:
k = sorted(a.keys(), reverse=True)
if a[k[0]] >= 4:
print(k[0] ** 2)
sys.exit(0)
else:
print(k[0] * k[1])
sys.exit(0)<|fim_prefix|># repo: FGtatsuro/myatcoder path: /regular_contest/081/C.py
import sys
input = sys.stdi... | code_fim | medium | {
"lang": "python",
"repo": "FGtatsuro/myatcoder",
"path": "/regular_contest/081/C.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jz-meng/modelarts-dataset-sdk path: /huaweicloud-sdk-python-modelarts-dataset/modelarts/test/test_read_voc_xml_empty.py
# Copyright 2018 Deep Learning Service of Huawei Cloud. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file exce... | code_fim | hard | {
"lang": "python",
"repo": "jz-meng/modelarts-dataset-sdk",
"path": "/huaweicloud-sdk-python-modelarts-dataset/modelarts/test/test_read_voc_xml_empty.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_read_voc_xml_with_empty_segmented():
path = os.path.abspath('../../../') + "/resources/voc/errorFiles/2007_000027_segmented_empty.xml"
try:
pascal_voc = PascalVocIO.parse_xml(path)
except Exception as e:
print(e)
assert ("Can't parse the XML file, segmented ca... | code_fim | hard | {
"lang": "python",
"repo": "jz-meng/modelarts-dataset-sdk",
"path": "/huaweicloud-sdk-python-modelarts-dataset/modelarts/test/test_read_voc_xml_empty.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_read_voc_xml_with_empty_file_name():
path = os.path.abspath('../../../') + "/resources/voc/errorFiles/2007_000027_filename_error.xml"
try:
pascal_voc = PascalVocIO.parse_xml(path)
except Exception as e:
print(e)
assert ("Can't parse the XML file, filename can't... | code_fim | hard | {
"lang": "python",
"repo": "jz-meng/modelarts-dataset-sdk",
"path": "/huaweicloud-sdk-python-modelarts-dataset/modelarts/test/test_read_voc_xml_empty.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return [] # noqa
def _default_definition(self):
return "A representation of the computational entities of the model equations" # noqa<|fim_prefix|># repo: jomoeller/simphony-common path: /simphony/cuds/meta/data_set.py
from simphony.core import Default # noqa
from .cuds_component ... | code_fim | hard | {
"lang": "python",
"repo": "jomoeller/simphony-common",
"path": "/simphony/cuds/meta/data_set.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> @classmethod
def supported_parameters(cls):
try:
base_params = super(DataSet, cls).supported_parameters()
except AttributeError:
base_params = ()
return tuple(set(() + base_params))
def _init_models(self):
self._models = self._default_mo... | code_fim | medium | {
"lang": "python",
"repo": "jomoeller/simphony-common",
"path": "/simphony/cuds/meta/data_set.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jomoeller/simphony-common path: /simphony/cuds/meta/data_set.py
from simphony.core import Default # noqa
from .cuds_component import CUDSComponent
from simphony.core.cuba import CUBA
class DataSet(CUDSComponent):
<|fim_suffix|> def _default_definition(self):
return "A representation... | code_fim | hard | {
"lang": "python",
"repo": "jomoeller/simphony-common",
"path": "/simphony/cuds/meta/data_set.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Uche-Clare/python-challenge-solutions path: /Ekeopara_Praise/Phase 1/Python Basic 2/Day17 Tasks/Task2.py
'''2. Write a Python program to create all possible per<|fim_suffix|>rm = permutations(lst)
for i in list(perm):
print(i)<|fim_middle|>mutations from a given collection of distinct numbers... | code_fim | medium | {
"lang": "python",
"repo": "Uche-Clare/python-challenge-solutions",
"path": "/Ekeopara_Praise/Phase 1/Python Basic 2/Day17 Tasks/Task2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>rm = permutations(lst)
for i in list(perm):
print(i)<|fim_prefix|># repo: Uche-Clare/python-challenge-solutions path: /Ekeopara_Praise/Phase 1/Python Basic 2/Day17 Tasks/Task2.py
'''2. Write a Python program to create all possible per<|fim_middle|>mutations from a given collection of distinct numbers... | code_fim | medium | {
"lang": "python",
"repo": "Uche-Clare/python-challenge-solutions",
"path": "/Ekeopara_Praise/Phase 1/Python Basic 2/Day17 Tasks/Task2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.real_star is not None:
return f"{self.real_star.hip_number}"
return f"x: {self.centroid.x}, y: {self.centroid.y}"
def get_unitary_vector(self):
f = self.FOCAL_LENGTH
x = self.centroid.x - self.CENTER_X
y = self.centroid.y - self.CENTER_Y
... | code_fim | hard | {
"lang": "python",
"repo": "granasat/startrackerpy",
"path": "/startrackerpy/server/startracker/image_star.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: granasat/startrackerpy path: /startrackerpy/server/startracker/image_star.py
import math
import numpy as np
from math import cos, atan, atan2, sin, sqrt, pi
class Centroid:
def __init__(self, x, y):
self.x = x
self.y = y
class ImageStar:
"""Represents an image star"""
... | code_fim | hard | {
"lang": "python",
"repo": "granasat/startrackerpy",
"path": "/startrackerpy/server/startracker/image_star.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> unitary_a = self.get_unitary_vector()
unitary_b = star.get_unitary_vector()
dab = math.degrees(math.acos(unitary_a[0] * unitary_b[0] +
unitary_a[1] * unitary_b[1] +
unitary_a[2] * unitary_b[2]))
retur... | code_fim | hard | {
"lang": "python",
"repo": "granasat/startrackerpy",
"path": "/startrackerpy/server/startracker/image_star.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: venkateshwarant/CatchMeIfYouCan path: /Implementation/StatisticalTestToChooseBestAlgorithmForIntruder.py
import math
from enum import Enum
import numpy as np
import random as rd
import numpy as np
import matplotlib.pyplot as plt
from numpy import random
from scipy import stats
from A import A,... | code_fim | hard | {
"lang": "python",
"repo": "venkateshwarant/CatchMeIfYouCan",
"path": "/Implementation/StatisticalTestToChooseBestAlgorithmForIntruder.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> catching_time_list_1 = runStatisticalTest(Vector3D(0, 0, 0), Vector3D(60, 60, 60), IntruderAlgorithms.ONE)
catching_time_list_2 = runStatisticalTest(Vector3D(0, 0, 0), Vector3D(60, 60, 60), IntruderAlgorithms.TWO)
catching_time_list = [catching_time_list_1, catching_time_list_2]
for i in... | code_fim | hard | {
"lang": "python",
"repo": "venkateshwarant/CatchMeIfYouCan",
"path": "/Implementation/StatisticalTestToChooseBestAlgorithmForIntruder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SysCompass/compass path: /compass/tests/config_management/installers/test_package_installer.py
import unittest2
from compass.config_management.installers import package_installer
class DummyInstaller(package_installer.Installer):
NAME = 'dummy'
def __init__(self):
pass
class... | code_fim | hard | {
"lang": "python",
"repo": "SysCompass/compass",
"path": "/compass/tests/config_management/installers/test_package_installer.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> package_installer.INSTALLERS = {}
def test_found_installer(self):
package_installer.register(DummyInstaller)
intaller = package_installer.get_installer_by_name(
DummyInstaller.NAME)
self.assertIsInstance(intaller, DummyInstaller)
def test_notfound_unre... | code_fim | hard | {
"lang": "python",
"repo": "SysCompass/compass",
"path": "/compass/tests/config_management/installers/test_package_installer.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_notfound_unregistered_installer(self):
self.assertRaises(KeyError, package_installer.get_installer_by_name,
DummyInstaller.NAME)
def test_multi_registered_installer(self):
package_installer.register(DummyInstaller)
self.assertRaises(KeyEr... | code_fim | hard | {
"lang": "python",
"repo": "SysCompass/compass",
"path": "/compass/tests/config_management/installers/test_package_installer.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def remove_veth_pair(nic, peer_ns):
exec_cmd(f"ip link del {nic}".split())
exec_cmd(f"ip netns del {peer_ns}".split())
# Use nmstate to ensure nic is deleted instead of using `ip link del`
libnmstate.apply(
{
Interface.KEY: [
{
Interf... | code_fim | hard | {
"lang": "python",
"repo": "nmstate/nmstate",
"path": "/tests/integration/testlib/veth.py",
"mode": "spm",
"license": "LGPL-2.1-only",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nmstate/nmstate path: /tests/integration/testlib/veth.py
# SPDX-License-Identifier: LGPL-2.1-or-later
from contextlib import contextmanager
import libnmstate
from libnmstate.schema import Interface
from libnmstate.schema import InterfaceState
from libnmstate.schema import InterfaceType
from lib... | code_fim | medium | {
"lang": "python",
"repo": "nmstate/nmstate",
"path": "/tests/integration/testlib/veth.py",
"mode": "psm",
"license": "LGPL-2.1-only",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kanzure/python-brlcad path: /brlcad/primitives/superell.py
"""
Python wrappers for the SUPERELL primitives of BRL-CAD.
"""
from base import Primitive
from brlcad.vmath import Vector
class Superell(Primitive):
def __init__(self,name, center=(0, 0, 0), a=(1, 0, 0), b=(0, 1, 0), c=(0, 0, 1), n... | code_fim | hard | {
"lang": "python",
"repo": "kanzure/python-brlcad",
"path": "/brlcad/primitives/superell.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> return Superell(
name=name,
center=data.v,
a=data.a,
b=data.b,
c=data.c,
n=data.n,
e=data.e,
)<|fim_prefix|># repo: kanzure/python-brlcad path: /brlcad/primitives/superell.py
"""
Python wrappers for the SU... | code_fim | hard | {
"lang": "python",
"repo": "kanzure/python-brlcad",
"path": "/brlcad/primitives/superell.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> print(dia, mes, ano)
a = Data('02/03/2019',28 , 5, 2019, 20)
print(a.inicializaData())<|fim_prefix|># repo: matheusscheu/AED2 path: /Tad/TadData.py
class Data:
def __init__(self, data, dia, mes, ano, dias):
self.dia = dia
self.mes = mes
self.ano = ano
self.data = data
self.d... | code_fim | medium | {
"lang": "python",
"repo": "matheusscheu/AED2",
"path": "/Tad/TadData.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def acrescentaDia(data,dias):
x =self.data.split('/')
x[0] = dia
x[1] = mes
x[2] = ano
print(dia, mes, ano)
a = Data('02/03/2019',28 , 5, 2019, 20)
print(a.inicializaData())<|fim_prefix|># repo: matheusscheu/AED2 path: /Tad/TadData.py
class Data:
def __init__(self, data, ... | code_fim | hard | {
"lang": "python",
"repo": "matheusscheu/AED2",
"path": "/Tad/TadData.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: matheusscheu/AED2 path: /Tad/TadData.py
class Data:
def __init__(self, data, dia, mes, ano, dias):
self.dia = dia
self.mes = mes
self.ano = ano
self.data = data
self.dias = dias
<|fim_suffix|> print(dia, mes, ano)
a = Data('02/03/2019',28 , 5, 2019, 20)
print(a.i... | code_fim | hard | {
"lang": "python",
"repo": "matheusscheu/AED2",
"path": "/Tad/TadData.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return _p.createFunction( function,_p.PLATFORM.GL,'GL_ARB_texture_rg',error_checker=_errors._error_checker)
GL_R16=_C('GL_R16',0x822A)
GL_R16F=_C('GL_R16F',0x822D)
GL_R16I=_C('GL_R16I',0x8233)
GL_R16UI=_C('GL_R16UI',0x8234)
GL_R32F=_C('GL_R32F',0x822E)
GL_R32I=_C('GL_R32I',0x8235)
GL_R32UI=_C('GL_R32U... | code_fim | medium | {
"lang": "python",
"repo": "juso40/bl2sdk_Mods",
"path": "/blimgui/dist/OpenGL/raw/GL/ARB/texture_rg.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: juso40/bl2sdk_Mods path: /blimgui/dist/OpenGL/raw/GL/ARB/texture_rg.py
'''Autogenerated by xml_generate script, do not edit!'''
from OpenGL import platform as _p, arrays
# Code generation uses this
from OpenGL.raw.GL import _types as _cs
# End users want this...
from OpenGL.raw.GL._types import *... | code_fim | medium | {
"lang": "python",
"repo": "juso40/bl2sdk_Mods",
"path": "/blimgui/dist/OpenGL/raw/GL/ARB/texture_rg.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Victory/realpython-tdd path: /contacts/user_contacts/models.py
from django.db import models
from user_contacts.validators import (
validate_string,
validate_number)
<|fim_suffix|>
class Phone(models.Model):
person = models.ForeignKey('Person')
number = models.CharField(
... | code_fim | hard | {
"lang": "python",
"repo": "Victory/realpython-tdd",
"path": "/contacts/user_contacts/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.last_name + ", " + self.first_name
class Phone(models.Model):
person = models.ForeignKey('Person')
number = models.CharField(
max_length=15,
validators=[validate_number])
def __unicode__(self):
return self.number<|fim_prefix|># repo: Victory/realp... | code_fim | hard | {
"lang": "python",
"repo": "Victory/realpython-tdd",
"path": "/contacts/user_contacts/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> person = models.ForeignKey('Person')
number = models.CharField(
max_length=15,
validators=[validate_number])
def __unicode__(self):
return self.number<|fim_prefix|># repo: Victory/realpython-tdd path: /contacts/user_contacts/models.py
from django.db import models
fro... | code_fim | medium | {
"lang": "python",
"repo": "Victory/realpython-tdd",
"path": "/contacts/user_contacts/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: smarek/ci_targets path: /compiled/python/str_literals.py
# This is a generated file! Please edit source .ksy file and use kaitai-struct-compiler to rebuild
from pkg_resources import parse_version
import kaitaistruct
from kaitaistruct import KaitaiStruct, KaitaiStream, BytesIO
if parse_version(... | code_fim | hard | {
"lang": "python",
"repo": "smarek/ci_targets",
"path": "/compiled/python/str_literals.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
@property
def octal_eatup2(self):
if hasattr(self, '_m_octal_eatup2'):
return self._m_octal_eatup2 if hasattr(self, '_m_octal_eatup2') else None
self._m_octal_eatup2 = u"\0022"
return self._m_octal_eatup2 if hasattr(self, '_m_octal_eatup2') else N... | code_fim | medium | {
"lang": "python",
"repo": "smarek/ci_targets",
"path": "/compiled/python/str_literals.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aniljava/zero-cluster path: /bin/router
#!/usr/bin/env python
from __future__ import print_function
import zmq
import random
import time
import cloudpickle as pickle
import sys
try:
import Queue as queue
except:
import queue
taskdefs = {}
tasks = queue.Queue()
workers = queue.Queue()
wo... | code_fim | hard | {
"lang": "python",
"repo": "aniljava/zero-cluster",
"path": "/bin/router",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> log('[{}] with instance id [{}] registered.'.format(name, instance_id))
if command == b'CALL':
call_data = payload[0]
if not workers.empty():
worker = workers.get_nowait()
workers_set.remove(worker)
payload = [
wo... | code_fim | hard | {
"lang": "python",
"repo": "aniljava/zero-cluster",
"path": "/bin/router",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def process(request):
address = request[0]
command = request[1]
payload = request[2:]
if command == b'REGISTER':
instance_id, encoded_object = payload
taskdefs[instance_id] = encoded_object
obj = pickle.loads(encoded_object)
name = obj... | code_fim | hard | {
"lang": "python",
"repo": "aniljava/zero-cluster",
"path": "/bin/router",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gozfree/gear-lib path: /build/c_cpp_project_framework/tools/flash/flash.py
#
# @file from https://github.com/Neutree/c_cpp_project_framework
# @author neucrack
# @license Apache 2.0
#
import argparse
import os, sys, time, re, shutil
import subprocess
from multiprocessing import cpu_count
import ... | code_fim | hard | {
"lang": "python",
"repo": "gozfree/gear-lib",
"path": "/build/c_cpp_project_framework/tools/flash/flash.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # mask options that not read from file
for key in config:
if key in dict_arg_not_save:
config[key] = dict_arg[key]
print("== flash start ==")
############## Add flash command here ################
print("!!! please write flash ops here ...")
print("-- flash por... | code_fim | hard | {
"lang": "python",
"repo": "gozfree/gear-lib",
"path": "/build/c_cpp_project_framework/tools/flash/flash.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RyanDsilva/blockchain-simulation path: /transaction.py
class Transaction:
def __init__(self, toAddress, fromAddress, amount):
<|fim_suffix|> def __repr__(self):
return " <Transaction To:%s\tFrom:%s\tAmount:%s>" % (self.toAddress, self.fromAddress, self.amount)<|fim_middle|> ... | code_fim | medium | {
"lang": "python",
"repo": "RyanDsilva/blockchain-simulation",
"path": "/transaction.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return " <Transaction To:%s\tFrom:%s\tAmount:%s>" % (self.toAddress, self.fromAddress, self.amount)<|fim_prefix|># repo: RyanDsilva/blockchain-simulation path: /transaction.py
class Transaction:
def __init__(self, toAddress, fromAddress, amount):
self.toAddress = toAddress
sel... | code_fim | easy | {
"lang": "python",
"repo": "RyanDsilva/blockchain-simulation",
"path": "/transaction.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mardiros/pyramid_asyncio path: /pyramid_asyncio/cache.py
import asyncio
import simplejson as json
from pyramid.events import NewRequest
from .kvs import cache, serializer
class ApplicationCache(cache.ApplicationCache):
@classmethod
@asyncio.coroutine
def connect(cls, settings):
... | code_fim | hard | {
"lang": "python",
"repo": "mardiros/pyramid_asyncio",
"path": "/pyramid_asyncio/cache.py",
"mode": "psm",
"license": "BSD-3-Clause-Modification",
"source": "the-stack-v2"
} |
<|fim_suffix|> settings = config.registry.settings
if 'kvs.cache' in settings:
yield from ApplicationCache.connect(settings)
config.add_subscriber(subscribe_cache, NewRequest)<|fim_prefix|># repo: mardiros/pyramid_asyncio path: /pyramid_asyncio/cache.py
import asyncio
import simplejson as json
... | code_fim | hard | {
"lang": "python",
"repo": "mardiros/pyramid_asyncio",
"path": "/pyramid_asyncio/cache.py",
"mode": "spm",
"license": "BSD-3-Clause-Modification",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Reset instance to the default value or the default to Qutip's default"""
if self._isDefault:
self.options = self.__class__.options.copy()
if _recursive:
for child in self._children:
child.reset()
else:
self.options = self._defaultInstance.... | code_fim | hard | {
"lang": "python",
"repo": "hodgestar/qutip",
"path": "/qutip/solve/optionsclass.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> out = self._fullname + ":\n"
longest = max(len(key) for key in self.options)
if self.read_only_options:
longest_readonly = max(len(key) for key in self.read_only_options)
longest = max((longest, longest_readonly))
for key, val in self.options.items():
if isinstance(... | code_fim | hard | {
"lang": "python",
"repo": "hodgestar/qutip",
"path": "/qutip/solve/optionsclass.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hodgestar/qutip path: /qutip/solve/optionsclass.py
class AllOptions:
"""
Class that serve as the parent of all other options class.
"""
# Temporary patch to make changes in solver's options minimal.
# TODO: Follow up PR based on #1812 should replace this.
def __init__(se... | code_fim | hard | {
"lang": "python",
"repo": "hodgestar/qutip",
"path": "/qutip/solve/optionsclass.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Assume: if self-rating is NaN, then this person is a total newbie
ssr['rank'] = ssr['rank'].replace('nan', 10)
# get the list of players for this team
players = self.team_players[team_id]
experience_rating = []
draft_rating = []
captain_rating = ... | code_fim | hard | {
"lang": "python",
"repo": "sbussmann/buda-ratings",
"path": "/src/data/scrape_buda.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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