text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: broadinstitute/ml4h path: /ml4h/visualization_tools/annotation_storage.py
"""Methods for storing and retrieving annotations within notebooks."""
import abc
import datetime
from typing import Optional, Union
from google.cloud import bigquery
from google.cloud.bigquery import magics as bqmagics
i... | code_fim | hard | {
"lang": "python",
"repo": "broadinstitute/ml4h",
"path": "/ml4h/visualization_tools/annotation_storage.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: openafs-contrib/afspy path: /afs/tests/lla/UbikLLATest.py
#!/usr/bin/env python
import unittest
from BaseTest import parse_commandline, BasicTestSetup
from afs.lla import UbikPeerLLA
import afs
class TestUbikLLAMethods(unittest.TestCase, BasicTestSetup):
"""
Tests UbikPeerLLA Methods... | code_fim | hard | {
"lang": "python",
"repo": "openafs-contrib/afspy",
"path": "/afs/tests/lla/UbikLLATest.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> @unittest.expectedFailure
def test_getDBState_not_syncSite(self):
self.do_test_getDBState(self.not_SyncSite)
return
def do_test_voting(self, servername):
d=self.LLA.getLongInfo(servername, self.DBPort,_cfg=afs.CONFIG,_user="test")
for p in d["Peers"] :
... | code_fim | hard | {
"lang": "python",
"repo": "openafs-contrib/afspy",
"path": "/afs/tests/lla/UbikLLATest.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Migration(migrations.Migration):
dependencies = [
('insta', '0004_auto_20190522_1747'),
]
operations = [
migrations.AlterField(
model_name='image',
name='profile_photo',
field=models.ImageField(null=True, upload_to='images/'),
... | code_fim | medium | {
"lang": "python",
"repo": "niklauspeter/instagram",
"path": "/insta/migrations/0005_auto_20190522_1848.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('insta', '0004_auto_20190522_1747'),
]
operations = [
migrations.AlterField(
model_name='image',
name='profile_photo',
field=models.ImageField(null=True, upload_to='images/'),
),
migrations.AlterField(
... | code_fim | medium | {
"lang": "python",
"repo": "niklauspeter/instagram",
"path": "/insta/migrations/0005_auto_20190522_1848.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: niklauspeter/instagram path: /insta/migrations/0005_auto_20190522_1848.py
# -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2019-05-22 15:48
from __future__ import unicode_literals
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='image',
nam... | code_fim | medium | {
"lang": "python",
"repo": "niklauspeter/instagram",
"path": "/insta/migrations/0005_auto_20190522_1848.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xjlin0/attendees path: /attendees/occasions/views/api/user_assembly_characters.py
import time
from django.contrib.auth.decorators import login_required
from django.utils.decorators import method_decorator
from rest_framework import viewsets
from rest_framework.exceptions import AuthenticationFai... | code_fim | hard | {
"lang": "python",
"repo": "xjlin0/attendees",
"path": "/attendees/occasions/views/api/user_assembly_characters.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_queryset(self):
current_user = self.request.user
current_user_organization = current_user.organization
if current_user_organization:
return CharacterService.by_organization_assemblys(
organization_slug=current_user_organization.slug,
... | code_fim | hard | {
"lang": "python",
"repo": "xjlin0/attendees",
"path": "/attendees/occasions/views/api/user_assembly_characters.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ChengCat/qcgc path: /test/test_event_logger.py
from support import lib,ffi
import unittest
class EventLoggerTestCase(unittest.TestCase):
<|fim_suffix|> "Create and destroy event log"
lib.qcgc_initialize()
lib.qcgc_destroy()
try:
logfile = open(ffi.stri... | code_fim | easy | {
"lang": "python",
"repo": "ChengCat/qcgc",
"path": "/test/test_event_logger.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
pass
finally:
logfile.close()
except:
self.fail("Logfile does not exist")<|fim_prefix|># repo: ChengCat/qcgc path: /test/test_event_logger.py
from support import lib,ffi
import unittest
class EventLoggerTestCase(unittest.Te... | code_fim | hard | {
"lang": "python",
"repo": "ChengCat/qcgc",
"path": "/test/test_event_logger.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with open(fname) as f:
for i, l in enumerate(f):
pass
return i + 1
print("Number of lines in the file: ",file_lengthy("test.txt"))<|fim_prefix|># repo: Ekeopara-Praise/python-challenge-solutions path: /Ekeopara_Praise/Phase 2/FILE I & O/Day80 Tasks/... | code_fim | easy | {
"lang": "python",
"repo": "Ekeopara-Praise/python-challenge-solutions",
"path": "/Ekeopara_Praise/Phase 2/FILE I & O/Day80 Tasks/Task3.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ekeopara-Praise/python-challenge-solutions path: /Ekeopara_Praise/Phase 2/FILE I & O/Day80 Tasks/Task3.py
'''3. Write a Python program to count the number of lines in a text file.'''
<|fim_suffix|> with open(fname) as f:
for i, l in enumerate(f):
pa... | code_fim | easy | {
"lang": "python",
"repo": "Ekeopara-Praise/python-challenge-solutions",
"path": "/Ekeopara_Praise/Phase 2/FILE I & O/Day80 Tasks/Task3.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zikram/pykafka path: /tests/pykafka/test_simpleconsumer.py
import mock
import os
import time
import unittest2
from pykafka import KafkaClient
from pykafka.simpleconsumer import OwnedPartition
from pykafka.test.utils import get_cluster, stop_cluster
class TestSimpleConsumer(unittest2.TestCase):... | code_fim | hard | {
"lang": "python",
"repo": "zikram/pykafka",
"path": "/tests/pykafka/test_simpleconsumer.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_partition_offset_fetch_request(self):
topic = mock.Mock()
topic.name = "test_topic"
partition = mock.Mock()
partition.topic = topic
partition.id = 12345
op = OwnedPartition(partition)
request = op.build_offset_fetch_request()
... | code_fim | hard | {
"lang": "python",
"repo": "zikram/pykafka",
"path": "/tests/pykafka/test_simpleconsumer.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> rqtime = int(time.time())
request = op.build_offset_commit_request()
self.assertEqual(request.topic_name, topic.name)
self.assertEqual(request.partition_id, partition.id)
self.assertEqual(request.offset, op.last_offset_consumed)
self.assertEqual(request.met... | code_fim | hard | {
"lang": "python",
"repo": "zikram/pykafka",
"path": "/tests/pykafka/test_simpleconsumer.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>for i in resp.json().get('data').get('list'):
tupian_url = i.get('cover')
name = i.get('title')
tp_resp = requests.get(tupian_url, headers = headers)
with open(f'{name}.jpg', 'wb') as f: # 若文件名中有斜杠则无法保存
f.write(tp_resp.content)<|fim_prefix|># repo: Weisswire/Python_Study_Homew... | code_fim | hard | {
"lang": "python",
"repo": "Weisswire/Python_Study_Homework-Bilibili",
"path": "/26_爬虫获取图片/26_爬虫获取图片.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Weisswire/Python_Study_Homework-Bilibili path: /26_爬虫获取图片/26_爬虫获取图片.py
# import requests
# def get_images():
# url = "https://api.bilibili.com/x/web-interface/dynamic/region?ps=12&rid=1"
# header = {'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, li... | code_fim | medium | {
"lang": "python",
"repo": "Weisswire/Python_Study_Homework-Bilibili",
"path": "/26_爬虫获取图片/26_爬虫获取图片.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
:type s: str
:rtype: int
"""
prev = 0
ans = 0
for k, g in groupby(s):
l = len(list(g))
ans += min(l, prev)
prev = l
return ans<|fim_prefix|># repo: ckclark/leetcode path: /py/count-binary-substrings.py... | code_fim | easy | {
"lang": "python",
"repo": "ckclark/leetcode",
"path": "/py/count-binary-substrings.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ckclark/leetcode path: /py/count-binary-substrings.py
from itertools import groupby
class Solution(object):
<|fim_suffix|> """
:type s: str
:rtype: int
"""
prev = 0
ans = 0
for k, g in groupby(s):
l = len(list(g))
ans ... | code_fim | easy | {
"lang": "python",
"repo": "ckclark/leetcode",
"path": "/py/count-binary-substrings.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> gt.seed_rng(42)
seed(42)
NUMBER_OF_NODES = 20
points = random((NUMBER_OF_NODES, 2))
points[0] = [0, 0]
points[1] = [1, 1]
g, pos = gt.triangulation(points, type="delaunay")
g.set_directed(True)
edges = list(g.edges())
# reciprocate edges
for e in edges:
g... | code_fim | medium | {
"lang": "python",
"repo": "chongbingbao/image-segmentation-1",
"path": "/test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chongbingbao/image-segmentation-1 path: /test.py
import graph_tool.all as gt
from numpy.random import seed, random
from scipy.linalg import norm
<|fim_suffix|> gt.seed_rng(42)
seed(42)
NUMBER_OF_NODES = 20
points = random((NUMBER_OF_NODES, 2))
points[0] = [0, 0]
points[1]... | code_fim | medium | {
"lang": "python",
"repo": "chongbingbao/image-segmentation-1",
"path": "/test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Ensure that attempting to access the triggered of anything but
# an entry sensor in a V2 system throws an error:
with pytest.raises(SimplipyError):
assert keypad.triggered == 42
entry_sensor: SensorV2 = cast(SensorV2, system.sensors["609"])
assert ent... | code_fim | hard | {
"lang": "python",
"repo": "bachya/simplisafe-python",
"path": "/tests/sensor/test_v2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> entry_sensor: SensorV2 = cast(SensorV2, system.sensors["609"])
assert entry_sensor.data == 130
assert not entry_sensor.error
assert not entry_sensor.low_battery
assert entry_sensor.settings == 1
assert not entry_sensor.trigger_instantly
assert not en... | code_fim | hard | {
"lang": "python",
"repo": "bachya/simplisafe-python",
"path": "/tests/sensor/test_v2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bachya/simplisafe-python path: /tests/sensor/test_v2.py
"""Define tests for V2 Sensor objects."""
from typing import cast
import aiohttp
import pytest
from aresponses import ResponsesMockServer
from simplipy import API
from simplipy.device.sensor.v2 import SensorV2
from simplipy.errors import S... | code_fim | hard | {
"lang": "python",
"repo": "bachya/simplisafe-python",
"path": "/tests/sensor/test_v2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>print(dict_words)
'''
4) вывести 5 наиболее часто встречающихся слов (sort), вывести количество разных слов в тексте (set).
'''
list_words_sort = list(dict_words.items())
print('Для всех слов:')
list_words_sort.sort(key = lambda x: x[1], reverse = True) # Обратная сортировка по колличеству
for i in r... | code_fim | hard | {
"lang": "python",
"repo": "IvanGanin/Lessons",
"path": "/lesson3.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: IvanGanin/Lessons path: /lesson3.py
with open('text.txt', mode = 'rt', encoding = 'utf-8') as f:
text = f.read()
'''
1) методами строк очистить текст от знаков препинания;
'''
temp = set()
for i in text:
temp.add(i)
temp.remove(' ')
temp.remove('\n')
ltemp = list(temp)
ltemp.sort()
ltemp... | code_fim | hard | {
"lang": "python",
"repo": "IvanGanin/Lessons",
"path": "/lesson3.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> LAMBDA_ENVIRONMENT_VARIABLE = "lambda_environment_variable"<|fim_prefix|># repo: yuth/amplify-ci-support path: /src/release_artifacts_resources/ios/cdk/cdk/credential_rotation/lambda_functions/src/models/source_type.py
from enum import Enum
class SourceType(str, Enum):
<|fim_middle|> """The sour... | code_fim | medium | {
"lang": "python",
"repo": "yuth/amplify-ci-support",
"path": "/src/release_artifacts_resources/ios/cdk/cdk/credential_rotation/lambda_functions/src/models/source_type.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yuth/amplify-ci-support path: /src/release_artifacts_resources/ios/cdk/cdk/credential_rotation/lambda_functions/src/models/source_type.py
from enum import Enum
class SourceType(str, Enum):
<|fim_suffix|> AWS_SESSION_CREDENTIALS = "aws_session_credentials"
SECRETS_MANAGER = "secrets_mana... | code_fim | easy | {
"lang": "python",
"repo": "yuth/amplify-ci-support",
"path": "/src/release_artifacts_resources/ios/cdk/cdk/credential_rotation/lambda_functions/src/models/source_type.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>J8 = [0.315595,0.969839,-0.650295,-0.058989,-0.380561,-0.237262,1.546382,0.494935,-1.073902,\
0.261010,2.938737,1.314844,-0.610274,-0.616883,2.923590,0.964480,-0.428509,1.169902,\
-0.285724,2.460704,-0.783270]
h8 = [1.086629,0.879991,0.156720,0.300523,1.184974,0.604226,0.315772]
J_ARRAY =... | code_fim | hard | {
"lang": "python",
"repo": "nicksacco17/Quantum_Information",
"path": "/HardInstances.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>J5 = [0.547770,0.466276,-0.372685,0.629326,0.640809,-0.206616,2.097702,0.647467,\
0.817713,1.877727,0.437974,-1.265069,0.306160,-0.984917,-1.606176,0.606699,-0.444365,\
-0.550893,-2.175497,0.819336,0.503487]
h5 = [0.354714,-1.470506,0.269355,0.426622,-1.128293,-0.105856,-0.958336]
J6 = [0... | code_fim | hard | {
"lang": "python",
"repo": "nicksacco17/Quantum_Information",
"path": "/HardInstances.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nicksacco17/Quantum_Information path: /HardInstances.py
NUM_HARD_INSTANCES = 9
J0 = [-0.974399,-0.389587,0.405797,-0.526664,1.122294,-0.274729,-1.826822,
0.859154,-0.473536,-0.106149,0.069886,0.018309,0.660378,1.388981,
1.340893,-0.755777,-0.846422,-0.855535,-0.877596,-0.263408,... | code_fim | hard | {
"lang": "python",
"repo": "nicksacco17/Quantum_Information",
"path": "/HardInstances.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print("%s CLIENT requesting scripts" % datetime.datetime.now())
payload = (access_key, "request-scripts", amount)
data = pickle.dumps(payload)
sock.sendall(data)
def editScript(scriptNo):
print("%s CLIENT requesting to edit script %s" % (datetime.datetime.now(), scriptNo))
... | code_fim | hard | {
"lang": "python",
"repo": "bluesammer/Automatic-Youtube-Reddit-Text-To-Speech-Video-Generator-and-Uploader",
"path": "/YouTube Bot Server/socketclient.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bluesammer/Automatic-Youtube-Reddit-Text-To-Speech-Video-Generator-and-Uploader path: /YouTube Bot Server/socketclient.py
import socket
from time import sleep
import sys
import pickle
from threading import Thread
import hashlib
import datetime
# Create a TCP/IP socket
sock = socket.so... | code_fim | hard | {
"lang": "python",
"repo": "bluesammer/Automatic-Youtube-Reddit-Text-To-Speech-Video-Generator-and-Uploader",
"path": "/YouTube Bot Server/socketclient.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> global access_key
print("Client listen thread active")
while True:
sleep(0.1)
buf = sock.recv(800000)
incomingdata = pickle.loads(buf)
if incomingdata[0] == "login-success":
login_success = incomingdata[1]
access_key = incomingdat... | code_fim | hard | {
"lang": "python",
"repo": "bluesammer/Automatic-Youtube-Reddit-Text-To-Speech-Video-Generator-and-Uploader",
"path": "/YouTube Bot Server/socketclient.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: truenas/iocage path: /iocage_lib/ioc_debug.py
# Copyright (c) 2014-2019, iocage
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted providing that the following conditions
# are met:
# 1. Redistributions of source code must r... | code_fim | hard | {
"lang": "python",
"repo": "truenas/iocage",
"path": "/iocage_lib/ioc_debug.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def run_jail_debug(self, name, path):
jail_debug_path = f'{self.path}/{name}'
jail_path = f'{path}/root'
all_props = self.__get_jail_props__(name, path)
fstab = self.__execute_debug__(['cat', f'{path}/fstab'], jail=name)
hosts = self.__execute_debug__(['cat', f... | code_fim | hard | {
"lang": "python",
"repo": "truenas/iocage",
"path": "/iocage_lib/ioc_debug.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> aa = v['audio_features'][0]['array']
aa = [aa[k] for k in sorted(list(aa.keys()))]
aas = [a.shape[0] for a in aa]
assert len(aas) == len(ad), \
"insufficient audio feature num: {},{} ({}/{})".format(shard_name, k, aas, ad)
assert all([aar == adr for aar,... | code_fim | hard | {
"lang": "python",
"repo": "sripathisridhar/acav100m",
"path": "/feature_extraction/code/tests/test_sample.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_sample():
cmd, meta_path, out_path = prepare('samples/shard-{000000..000009}.tar')
print('running')
subprocess.run(cmd.split())
print('testing')
check(meta_path, out_path)
def test_sample_range():
cmd, meta_path, out_path = prepare('samples_range/shard-{000000..000029}.... | code_fim | hard | {
"lang": "python",
"repo": "sripathisridhar/acav100m",
"path": "/feature_extraction/code/tests/test_sample.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sripathisridhar/acav100m path: /feature_extraction/code/tests/test_sample.py
import subprocess
import shutil
from pathlib import Path
from utils import load_json, load_pickle
from config import defaults
from models.slowfast import LayerSlowFast
from models.vggish import LayerVggish
def prepare... | code_fim | hard | {
"lang": "python",
"repo": "sripathisridhar/acav100m",
"path": "/feature_extraction/code/tests/test_sample.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mtbentley/django-mailchimp path: /mailchimp/chimpy/utils.py
from datetime import datetime
def transform_datetime(dt):
""" converts datetime parameter"""
if dt is None:
dt = ''
else:
assert isinstance(dt, datetime)
dt = dt.strfti... | code_fim | medium | {
"lang": "python",
"repo": "mtbentley/django-mailchimp",
"path": "/mailchimp/chimpy/utils.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def flatten(params, key=None):
""" flatten nested dictionaries and lists """
flat = {}
for name, val in list(params.items()):
if key is not None and not isinstance(key, int):
name = "%s[%s]" % (key, name)
if isinstance(val, dict):
flat.update(flatten(val... | code_fim | medium | {
"lang": "python",
"repo": "mtbentley/django-mailchimp",
"path": "/mailchimp/chimpy/utils.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>@click.command(name='Savify', context_settings=dict(allow_extra_args=True, ignore_unknown_options=True))
@click.help_option()
@click.version_option(version=__version__)
@click.option('-t', '--type', default=Choices.TYPE[0], help='Query type for text search.',
type=click.Choice(Choices.TYPE))... | code_fim | hard | {
"lang": "python",
"repo": "jimmymasaru/savify",
"path": "/savify/cli.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jimmymasaru/savify path: /savify/cli.py
"""Console script for Savify."""
import sys
import re
import click
import logging
from os import system
from pathlib import Path
from . import __version__, __author__
from .types import *
from .utils import PathHolder, create_dir
from .savify import Savify... | code_fim | hard | {
"lang": "python",
"repo": "jimmymasaru/savify",
"path": "/savify/cli.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> regex = r"^((%artist%|%album%|%playlist%)(\/(%artist%|%album%|%playlist%))*)+$"
if re.search(regex, str(value)) or value is None:
return value
else:
raise click.BadParameter('Group must be in the form x or x/x/x... where x in [%artist%, %album%, %playlist%]')
def guided_cli(t... | code_fim | hard | {
"lang": "python",
"repo": "jimmymasaru/savify",
"path": "/savify/cli.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with open('tests/keys/testkey_ec', 'r') as ec_key:
algo.prepare_key(ensure_unicode(ec_key.read()))
@unittest.skipIf(not has_crypto, 'Not supported without cryptography library')
def test_ec_verify_should_return_false_if_signature_invalid(self):
algo = ECAlgorithm(hashe... | code_fim | hard | {
"lang": "python",
"repo": "ralphbean/pyjwt",
"path": "/tests/test_algorithms.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> algo = ECAlgorithm(hashes.SHA256())
with open('tests/keys/testkey_ec', 'r') as ec_key:
algo.prepare_key(ensure_unicode(ec_key.read()))
@unittest.skipIf(not has_crypto, 'Not supported without cryptography library')
def test_ec_verify_should_return_false_if_signature_in... | code_fim | hard | {
"lang": "python",
"repo": "ralphbean/pyjwt",
"path": "/tests/test_algorithms.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ralphbean/pyjwt path: /tests/test_algorithms.py
import base64
import hashlib
from jwt.algorithms import Algorithm, HMACAlgorithm
from .compat import unittest
from .utils import ensure_bytes, ensure_unicode
try:
from cryptography.hazmat.primitives import hashes
from jwt.algorithms impor... | code_fim | hard | {
"lang": "python",
"repo": "ralphbean/pyjwt",
"path": "/tests/test_algorithms.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Chiraagkv/ASL path: /streamlit_app.py
import cv2
import mediapipe as mp
import numpy as np
from backend import load_model, predict_custom
import streamlit as st
from webrtc import VideoTransformer
from streamlit_webrtc import VideoTransformerBase, webrtc_streamer, ClientSettings
st.set_page_conf... | code_fim | medium | {
"lang": "python",
"repo": "Chiraagkv/ASL",
"path": "/streamlit_app.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
elif page == "About":
st.title("ASL to Text")
st.markdown("""In recent years, ASL has become the medium of communication for thousands, if not millions of people. However, very few people with no hearing impairment know the various symbols of this sign-language. This project aims to bridge the ga... | code_fim | hard | {
"lang": "python",
"repo": "Chiraagkv/ASL",
"path": "/streamlit_app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># calculate equil populations from tProb -- this should match up with the known result!
pi_known_pi = get_stationary_pops(tProb_known_pi)
f_known_pi = -0.596*np.log(pi) # free energies in kcal/mol
f_known_pi = f_known_pi - f_known_pi.min() # make lowest free energy value 0
print '----'
print 'pi (true): ... | code_fim | hard | {
"lang": "python",
"repo": "vvoelz/adaptive-seeding-paper",
"path": "/code/for_Hongbin/test_known_pi_estimator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># get the timescales from tProb_known_pi
evals, evecs = get_evals_evecs(tProb_known_pi)
implied_timescale_known_pi = max(1.,-lagtime/np.log(evals[1]))
print 'implied timescale (true) : 9.66e7 +/- 1.5e7 steps'
print 'implied_timescale (estimate) :', implied_timescale_known_pi, 'steps.',<|fim_pref... | code_fim | hard | {
"lang": "python",
"repo": "vvoelz/adaptive-seeding-paper",
"path": "/code/for_Hongbin/test_known_pi_estimator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vvoelz/adaptive-seeding-paper path: /code/for_Hongbin/test_known_pi_estimator.py
import os, sys
sys.path.append('../')
import numpy as np
from twostate import *
from estimators import *
from BinManager import *
# Here's a test of the MLE_known_pi estimator
# First, let's read in one of the c... | code_fim | hard | {
"lang": "python",
"repo": "vvoelz/adaptive-seeding-paper",
"path": "/code/for_Hongbin/test_known_pi_estimator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>out = {}
for sid, md in meta_map.items():
try:
ra = md['ra']
dec = md['dec']
dr7objid = md['SDSS dr7 id']
location = location_keys[
np.where((ras == ra) & (decs == dec) & (dr7ids == dr7objid))[0][0]
]
out[int(sid)] = location
except KeyE... | code_fim | hard | {
"lang": "python",
"repo": "tingard/Galaxy-builder-aggregation",
"path": "/lib/recover_file_from_subjid.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for sid, md in meta_map.items():
try:
ra = md['ra']
dec = md['dec']
dr7objid = md['SDSS dr7 id']
location = location_keys[
np.where((ras == ra) & (decs == dec) & (dr7ids == dr7objid))[0][0]
]
out[int(sid)] = location
except KeyError:
... | code_fim | hard | {
"lang": "python",
"repo": "tingard/Galaxy-builder-aggregation",
"path": "/lib/recover_file_from_subjid.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tingard/Galaxy-builder-aggregation path: /lib/recover_file_from_subjid.py
# we want to create a file "location-map.json" which links a subject set with its original files
import re
import os
import json
import numpy as np
import galaxy_utilities as gu
def grab_data_from_file(fname):
with op... | code_fim | hard | {
"lang": "python",
"repo": "tingard/Galaxy-builder-aggregation",
"path": "/lib/recover_file_from_subjid.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JayjeetAtGithub/spack path: /var/spack/repos/builtin/packages/gpu-burn/package.py
# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack.packa... | code_fim | hard | {
"lang": "python",
"repo": "JayjeetAtGithub/spack",
"path": "/var/spack/repos/builtin/packages/gpu-burn/package.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> conflicts("~cuda", msg="gpu-burn requires cuda")
conflicts("cuda_arch=none", msg="must select a CUDA architecture")
def edit(self, spec, prefix):
# update cuda architecture if necessary
if "+cuda" in self.spec:
cuda_arch = self.spec.variants["cuda_arch"].value
... | code_fim | hard | {
"lang": "python",
"repo": "JayjeetAtGithub/spack",
"path": "/var/spack/repos/builtin/packages/gpu-burn/package.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> nameEntry = Entry(nameWindow, width=15, justify='center', font=('Chalkboard SE', 30), bd=5, bg='white')
nameEntry.place(x = screen_width/7, y=screen_height/5.5 )
button = Button(nameWindow, text="Save", font=("Chalkboard SE", 30),width=11, command=saveName, height=2, bg="#80deea", bd=3)
... | code_fim | hard | {
"lang": "python",
"repo": "Ansh339412/C204",
"path": "/client.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> nameWindow.resizable(True, True)
nameWindow.mainloop()
def recivedMsg():
pass
def setup():
global SERVER
global PORT
global IP_ADDRESS
PORT = 6000
IP_ADDRESS = '127.0.0.1'
SERVER = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
SERVER.connect((IP_ADDRES... | code_fim | hard | {
"lang": "python",
"repo": "Ansh339412/C204",
"path": "/client.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ansh339412/C204 path: /client.py
import socket
from tkinter import *
from threading import Thread
import random
from PIL import ImageTk, Image
screen_width = None
screen_height = None
SERVER = None
PORT = None
IP_ADDRESS = None
playerName = None
<|fim_suffix|> canvas1 = Canvas( nameWindow,... | code_fim | hard | {
"lang": "python",
"repo": "Ansh339412/C204",
"path": "/client.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ubco-mds-2020-labs/WineVision path: /pages/old/Rain.py
import pandas as pd
import numpy as np
import dash
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Input, Output
import altair as alt
import dash_bootstrap_components as dbc
import dash_boo... | code_fim | hard | {
"lang": "python",
"repo": "ubco-mds-2020-labs/WineVision",
"path": "/pages/old/Rain.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def plot_scatter(xcol,ycol, winetype):
wine_dif = wine.loc[(wine['Wine'].isin(winetype))]
brush = alt.selection_interval()
click = alt.selection_multi(fields=['Wine'], bind='legend')
base = alt.Chart(wine_dif).properties(
width=400,
height=400
).add_selection(brush)
poi... | code_fim | hard | {
"lang": "python",
"repo": "ubco-mds-2020-labs/WineVision",
"path": "/pages/old/Rain.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def iterator(qs, batch_size=1000, order_by='pk', start_with=None, limit=None):
for batch in batch_iterator(qs, batch_size, order_by, start_with, limit):
for item in batch:
yield item<|fim_prefix|># repo: wahello/django-chunked-iterator path: /django_chunked_iterator.py
from __futu... | code_fim | hard | {
"lang": "python",
"repo": "wahello/django-chunked-iterator",
"path": "/django_chunked_iterator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if limit is not None:
limit -= returned
if returned:
last_item = items[-1]
try:
start_with = getattr(last_item, order_by)
except AttributeError:
try:
start_with = last_item[order_by]
... | code_fim | hard | {
"lang": "python",
"repo": "wahello/django-chunked-iterator",
"path": "/django_chunked_iterator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wahello/django-chunked-iterator path: /django_chunked_iterator.py
from __future__ import unicode_literals, absolute_import
def batch_iterator(qs, batch_size=1000,
order_by='pk', start_with=None, limit=None):
qs = qs.order_by(order_by)
cond = order_by + '__gt'
if ... | code_fim | hard | {
"lang": "python",
"repo": "wahello/django-chunked-iterator",
"path": "/django_chunked_iterator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # create dataset
dataset = create_dataset(args_opt.test_data_dir, do_train=False, batch_size=config.batch_size, device_num=1, rank=0)
# step_size = dataset.get_dataset_size()
# define net
net = xception(class_num=config.class_num)
# load checkpoint
param_dict = load_checkpoin... | code_fim | hard | {
"lang": "python",
"repo": "mindspore-ai/models",
"path": "/official/cv/Inception/xception/eval.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mindspore-ai/models path: /official/cv/Inception/xception/eval.py
# Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http... | code_fim | hard | {
"lang": "python",
"repo": "mindspore-ai/models",
"path": "/official/cv/Inception/xception/eval.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> while True:
if os.path.exists(sync_lock):
break
time.sleep(1)
print("Device: {}, Finish sync unzip data from {} to {}.".format(get_device_id(), zip_file_1, save_dir_1))
args_opt.test_data_dir = args_opt.data_path
if args_opt.modelarts_datase... | code_fim | hard | {
"lang": "python",
"repo": "mindspore-ai/models",
"path": "/official/cv/Inception/xception/eval.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ArvinZJC/UofG_PGT_PSD_Python path: /Labs/4/T5.py
'''
Description: Task 5
Version: 1.0.0.20210128
Author: Arvin Zhao
Date: 2021-01-28 14:45:12
Last Editors: Arvin Zhao
LastEditTime: 2021-01-28 14:47:17
'''
<|fim_suffix|>
x = np.ones((5, 5))
x[1:-1, 1:-1] = 25
print(x)<|fim_middle|>import numpy a... | code_fim | easy | {
"lang": "python",
"repo": "ArvinZJC/UofG_PGT_PSD_Python",
"path": "/Labs/4/T5.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>x = np.ones((5, 5))
x[1:-1, 1:-1] = 25
print(x)<|fim_prefix|># repo: ArvinZJC/UofG_PGT_PSD_Python path: /Labs/4/T5.py
'''
Description: Task 5
Version: 1.0.0.20210128
Author: Arvin Zhao
Date: 2021-01-28 14:45:12
Last Editors: Arvin Zhao
LastEditTime: 2021-01-28 14:47:17
'''
<|fim_middle|>import numpy as... | code_fim | easy | {
"lang": "python",
"repo": "ArvinZJC/UofG_PGT_PSD_Python",
"path": "/Labs/4/T5.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DreamEmulator/OpenCLSim path: /tests/test_blockly.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for `openclsim` package."""
import types
<|fim_suffix|>@pytest.fixture
def code():
"""sample code"""
code = """
def callback():
return 'callback called'
"""
return code
... | code_fim | medium | {
"lang": "python",
"repo": "DreamEmulator/OpenCLSim",
"path": "/tests/test_blockly.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_blockly_callback(code):
"""test if we can parse and execute a callback from blockly"""
#
module = types.ModuleType("module")
# compile into ast (use <string> as a filename)
ast = compile(code, filename="<string>", mode="exec")
# execute the code in the context of the modu... | code_fim | medium | {
"lang": "python",
"repo": "DreamEmulator/OpenCLSim",
"path": "/tests/test_blockly.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> code = """
def callback():
return 'callback called'
"""
return code
def test_blockly_callback(code):
"""test if we can parse and execute a callback from blockly"""
#
module = types.ModuleType("module")
# compile into ast (use <string> as a filename)
ast = compile(code, fi... | code_fim | medium | {
"lang": "python",
"repo": "DreamEmulator/OpenCLSim",
"path": "/tests/test_blockly.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ProjectFacet/facet path: /project/editorial/models/platforms.py
from django.db import models
from . import User, Organization
#--------------------------------------------------------------------------#
# Platforms and PlatformAccounts
# Social accounts connected to Users, Organizat... | code_fim | hard | {
"lang": "python",
"repo": "ProjectFacet/facet",
"path": "/project/editorial/models/platforms.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> name = models.CharField(
max_length=250,
help_text='Name of the platform.'
)
# code for font awesome icon for the platform
# ex. 'fa-facebook' is the Font Awesome icon for Facebook
icon_code = models.CharField(
max_length=50,
blank=True,
... | code_fim | hard | {
"lang": "python",
"repo": "ProjectFacet/facet",
"path": "/project/editorial/models/platforms.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>message = client.ip_messaging \
.services("SERVICE_SID") \
.channels("CHANNEL_SID") \
.messages("MESSAGE_SID") \
.update(body="MESSAGE")
print(message.body)<|fim_prefix|># repo: kwhinnery/api-snippets path: /ip-messaging/rest/messages/updat... | code_fim | medium | {
"lang": "python",
"repo": "kwhinnery/api-snippets",
"path": "/ip-messaging/rest/messages/update-messages/update-messages.6.x.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kwhinnery/api-snippets path: /ip-messaging/rest/messages/update-messages/update-messages.6.x.py
# Download the Python helper library from twilio.com/docs/python/install
from twilio.rest import Client
<|fim_suffix|>message = client.ip_messaging \
.services("SERVICE_SID") \
... | code_fim | medium | {
"lang": "python",
"repo": "kwhinnery/api-snippets",
"path": "/ip-messaging/rest/messages/update-messages/update-messages.6.x.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> job = job_service.get_job_by_name(job_name, user_id)
assert job.cron == '* * * * *'
assert job.aws_cron == '* * * * ? *'
assert job.human_cron == 'Every minute'
assert job.schedule_is_active is True
resp = web_client.put(f'/api/v1/jobs/{str(job.id)}/schedule',
... | code_fim | hard | {
"lang": "python",
"repo": "seamless-io/seamless-web",
"path": "/tests/integration/apis/test_job_flow.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: seamless-io/seamless-web path: /tests/integration/apis/test_job_flow.py
import pytest
import core.services.job as job_service
def test_vanilla(web_client):
res = web_client.get('/', follow_redirects=True)
assert res.status_code == 200
def test_publish_user_not_found(cli_client):
... | code_fim | hard | {
"lang": "python",
"repo": "seamless-io/seamless-web",
"path": "/tests/integration/apis/test_job_flow.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abadithela/NFM2021_Static_Test_Synthesis path: /examples/parametered_grid.py
_grid, plot_final_map, plot_augment_paths
from src.simulation_helpers import run_iterations, run_iterations_SAPs, run_iterations_random_graph
from time import gmtime, strftime
plt.rcParams['mathtext.fontset'] = 'custom'
... | code_fim | hard | {
"lang": "python",
"repo": "abadithela/NFM2021_Static_Test_Synthesis",
"path": "/examples/parametered_grid.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for inP in range(len(nprops)):
n_inP = nprops[inP]
print("Computing data for t = "+str(iM)+" and nprops = "+str(n_inP))
time_avg, timed_out_avg, total_iter_avg, total_ILP_avg, time_avg_std = run_iterations_SAPs(iM, iN, n_inP, Niter, False, KEY) # Nodiagonal tra... | code_fim | hard | {
"lang": "python",
"repo": "abadithela/NFM2021_Static_Test_Synthesis",
"path": "/examples/parametered_grid.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Niter = 50 # No. of iterations for each example
t = [[3,3],[3,4],[3,5],[4,4]] # Grid size
# t = [[3,3],[3,4]]
lM = len(t)
lN = len(t)
P = [[2,3], [2,3], [2,3], [2,3], [2,3]]
time_arr_no_diag = [[] for iM in range(lM)] # Stores time taking to solve a problem
timed... | code_fim | hard | {
"lang": "python",
"repo": "abadithela/NFM2021_Static_Test_Synthesis",
"path": "/examples/parametered_grid.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dabraude/PYSpeechLib path: /PYSpeechLib.py
#########################################
# Base module
#########################################
<|fim_suffix|>af = AudioFile()
af.open(os.path.join('demo','test.raw'))
af.frame()
af.window()
print af.length<|fim_middle|>import os
from src import *
fr... | code_fim | medium | {
"lang": "python",
"repo": "dabraude/PYSpeechLib",
"path": "/PYSpeechLib.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>af = AudioFile()
af.open(os.path.join('demo','test.raw'))
af.frame()
af.window()
print af.length<|fim_prefix|># repo: dabraude/PYSpeechLib path: /PYSpeechLib.py
#########################################
# Base module
#########################################
<|fim_middle|>import os
from src import *
fr... | code_fim | medium | {
"lang": "python",
"repo": "dabraude/PYSpeechLib",
"path": "/PYSpeechLib.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_tumble_window(self):
t = self.t_env.from_elements(
[(1, 1, "Hello"), (2, 2, "Hello"), (3, 4, "Hello"), (4, 8, "Hello")],
["a", "b", "c"])
result = t.window(Tumble.over("2.rows").on("a").alias("w"))\
.group_by("w, c").select("b.sum")
... | code_fim | hard | {
"lang": "python",
"repo": "tianchen92/flink",
"path": "/flink-python/pyflink/table/tests/test_window.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> result = t.window(Slide.over("2.seconds").every("1.seconds").on("a").alias("w"))\
.group_by("w, c").select("b.sum")
actual = self.collect(result)
expected = ['1', '3', '6', '12', '8']
self.assert_equals(actual, expected)
def test_session_window(self):
... | code_fim | hard | {
"lang": "python",
"repo": "tianchen92/flink",
"path": "/flink-python/pyflink/table/tests/test_window.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tianchen92/flink path: /flink-python/pyflink/table/tests/test_window.py
################################################################################
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed wit... | code_fim | hard | {
"lang": "python",
"repo": "tianchen92/flink",
"path": "/flink-python/pyflink/table/tests/test_window.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fms13/cdx path: /python/cdx/ReadContinuousDelayFile.py
#!/usr/bin/env python
##
# \addtogroup python_implementation
# @{
#
# \file ReadContinuousDelayFile.py
#
# \date April 4, 2012
# \author Frank Schubert
#
import numpy as np
import h5py
import warnings
warnings.filterwarnings(... | code_fim | hard | {
"lang": "python",
"repo": "fms13/cdx",
"path": "/python/cdx/ReadContinuousDelayFile.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def compute_los_and_multipath_components_powers(self, link_name, start_time, length):
g = self.f['links'][link_name]
total_nof_cirs = len(g['cirs'])
# check if start_time and length can be processed:
if length != 0.0:
if start_time + length > self.len... | code_fim | hard | {
"lang": "python",
"repo": "fms13/cdx",
"path": "/python/cdx/ReadContinuousDelayFile.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GwenIves/Exercises path: /rgpwp/chapter15.py
#!/usr/bin/env python
# Copyright (c) 2008 Qtrac Ltd. All rights reserved.
# This program or module is free software: you can redistribute it and/or
# modify it under the terms of the GNU General Public License as published
# by the Free Software Found... | code_fim | hard | {
"lang": "python",
"repo": "GwenIves/Exercises",
"path": "/rgpwp/chapter15.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> layout = QVBoxLayout()
layout.addWidget(self.view)
layout.addWidget(buttonBox)
self.setLayout(layout)
self.connect(addButton, SIGNAL("clicked()"), self.addRecord)
self.connect(deleteButton, SIGNAL("clicked()"), self.deleteRecord)
self.connect(closeB... | code_fim | hard | {
"lang": "python",
"repo": "GwenIves/Exercises",
"path": "/rgpwp/chapter15.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> mesh = exodus(mesh, mode="a")
points = mesh.get_coords()
rotated_points = rotate(x=points[0], y=points[1],
z=points[2], matrix=rot_mat)
rotated_points = rotated_points.T
mesh.put_coords(rotated_points[:, 0], rotated_points[:, 1],
rotated... | code_fim | hard | {
"lang": "python",
"repo": "GeoSinoLMU/MultiMesh",
"path": "/multi_mesh/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GeoSinoLMU/MultiMesh path: /multi_mesh/utils.py
"""
A few functions to help out with specific tasks
"""
import numpy as np
from pyexodus import exodus
from multi_mesh.io.exodus import Exodus
import h5py
def get_rot_matrix(angle, x, y, z):
"""
:param angle: Rotation angle in radians (Rig... | code_fim | hard | {
"lang": "python",
"repo": "GeoSinoLMU/MultiMesh",
"path": "/multi_mesh/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> x, y, z = np.asarray(x), np.asarray(y), np.asarray(z)
return matrix.dot(np.array([x, y, z]))
def rotate_mesh(mesh, event_loc, backwards=False):
"""
Rotate the coordinates of a mesh to make the source show up below
the North Pole of the mesh. Can also be used to rotate backwards.
... | code_fim | hard | {
"lang": "python",
"repo": "GeoSinoLMU/MultiMesh",
"path": "/multi_mesh/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DeepinSC/todolist path: /backend/todolist_rest/migrations/0004_auto_20171215_1437.py
# -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2017-12-15 06:37
from __future__ import unicode_literals
<|fim_suffix|> dependencies = [
('todolist_rest', '0003_auto_20171214_1948'),
]
... | code_fim | medium | {
"lang": "python",
"repo": "DeepinSC/todolist",
"path": "/backend/todolist_rest/migrations/0004_auto_20171215_1437.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('todolist_rest', '0003_auto_20171214_1948'),
]
operations = [
migrations.AlterField(
model_name='todo',
name='expire_date',
field=models.DateField(default=datetime.datetime(2017, 12, 15, 6, 37, 48, 584292, tzinfo=utc)),
... | code_fim | medium | {
"lang": "python",
"repo": "DeepinSC/todolist",
"path": "/backend/todolist_rest/migrations/0004_auto_20171215_1437.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='todo',
name='expire_date',
field=models.DateField(default=datetime.datetime(2017, 12, 15, 6, 37, 48, 584292, tzinfo=utc)),
),
]<|fim_prefix|># repo: DeepinSC/todolist path: /backend/todolist_rest... | code_fim | medium | {
"lang": "python",
"repo": "DeepinSC/todolist",
"path": "/backend/todolist_rest/migrations/0004_auto_20171215_1437.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Modify default values (OPTIONAL)
COMPANY ='EpiData'
SITE = 'San_Francisco'
STATION = 'WSN-1'
SENSOR = "Temperature_Probe"
#########################
# SKIP SSL VERIFICATION #
#########################
import ssl
try:
_create_unverified_https_context = ssl._create_unverified_context
except Attribu... | code_fim | hard | {
"lang": "python",
"repo": "epidataio/epidata-community",
"path": "/play/examples/python_2.7/sensor_data_query.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: epidataio/epidata-community path: /play/examples/python_2.7/sensor_data_query.py
############################
# Import Required Modules #
############################
import argparse
import base64
from datetime import datetime, timedelta
import httplib
import json
import numpy as np
from pytz im... | code_fim | hard | {
"lang": "python",
"repo": "epidataio/epidata-community",
"path": "/play/examples/python_2.7/sensor_data_query.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_validate_search_no_input():
"""Test validation of an empty value for search_input."""
payload = {"search_object_types": []}
result = validate_search_payload(payload)
assert result["errors"] == "No search_input string for search received."
def tests_validate_search_no_types():
... | code_fim | hard | {
"lang": "python",
"repo": "Chaos-Monkey-Island/sawtooth-next-directory",
"path": "/tests/unit/server/search_api_tests.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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