text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: alldatacenter/alldata path: /govern/data-meta/amundsen/databuilder/databuilder/extractor/teradata_metadata_extractor.py
# Copyright Contributors to the Amundsen project.
# SPDX-License-Identifier: Apache-2.0
from typing import ( # noqa: F401
Any, Dict, Iterator, Union,
)
from pyhocon impor... | code_fim | hard | {
"lang": "python",
"repo": "alldatacenter/alldata",
"path": "/govern/data-meta/amundsen/databuilder/databuilder/extractor/teradata_metadata_extractor.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @property
def all_conv_ops(self):
return self._conv_to_gamma.keys()
def _dfs(op, visited=None):
"""Perform DFS on a graph.
Args:
op: A tf.Operation, the root node for the DFS.
visited: A set, used in the recursion.
Returns:
A list of the tf.Operations of type Conv2D that were... | code_fim | hard | {
"lang": "python",
"repo": "UpCoder/ISBI_LiverLesionDetection",
"path": "/models/research/morph_net/op_regularizers/gamma_mapper.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self._conv_to_gamma.keys()
class ConvGammaMapperByConnectivity(GenericConvGammaMapper):
"""Maps a convolution to its BatchNorm gammas based on graph connectivity.
Given a batch-norm gamma, propagates along the graph to find the convolutions
that are batch-nomalized by this gamma. It ca... | code_fim | hard | {
"lang": "python",
"repo": "UpCoder/ISBI_LiverLesionDetection",
"path": "/models/research/morph_net/op_regularizers/gamma_mapper.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: UpCoder/ISBI_LiverLesionDetection path: /models/research/morph_net/op_regularizers/gamma_mapper.py
# Copyright 2018 The TensorFlow Authors 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.
# ... | code_fim | hard | {
"lang": "python",
"repo": "UpCoder/ISBI_LiverLesionDetection",
"path": "/models/research/morph_net/op_regularizers/gamma_mapper.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> event['message_type'] = 'alert-info'
event['message'] = ''
@view_config(context=Exception)
def unknown_failure(request, exc):
#import traceback
logger.exception('unknown failure')
#msg = exc.args[0] if exc.args else ""
#response = Response('Ooops, something went wrong: %s' % (tra... | code_fim | hard | {
"lang": "python",
"repo": "KatiRG/pyramid-phoenix",
"path": "/phoenix/views/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return [dict(route_path=self.request.route_path("home"), title="Home")]
from pyramid.view import (
view_config,
notfound_view_config
)
from pyramid.response import Response
from pyramid.events import subscriber, BeforeRender
@notfound_view_config(renderer='phoenix:templates/404.pt')
... | code_fim | hard | {
"lang": "python",
"repo": "KatiRG/pyramid-phoenix",
"path": "/phoenix/views/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KatiRG/pyramid-phoenix path: /phoenix/views/__init__.py
from phoenix import models
import logging
logger = logging.getLogger(__name__)
class MyView(object):
def __init__(self, request, name, title, description=None):
self.request = request
self.session = self.request.session... | code_fim | hard | {
"lang": "python",
"repo": "KatiRG/pyramid-phoenix",
"path": "/phoenix/views/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dallariva93/TelegramSpesaBot path: /newspesabot/data_handler.py
import time
import pymongo
TIMEOUT = 604800 # one week
class DataHandler:
@classmethod
def insert_element(cls, user_id: str, obj: str, collection):
last_update = time.time()
key = {"user_id": user_id}
... | code_fim | medium | {
"lang": "python",
"repo": "dallariva93/TelegramSpesaBot",
"path": "/newspesabot/data_handler.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> document = collection.find_one({"user_id": user_id})
elements = ""
for element in document['list']:
elements = elements + '\n' + element["name"]
return elements
@classmethod
def delete_all(cls, user_id: str, collection):
collection.update( {"use... | code_fim | medium | {
"lang": "python",
"repo": "dallariva93/TelegramSpesaBot",
"path": "/newspesabot/data_handler.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LH3525/github path: /socket客户端.py
from socket import *
HOST = '127.0.0.1'
SERVER_PORT = 21567
BUFSIZ = 1024
SERVER_ADDR = (HOST,SERVER_PORT)
<|fim_suffix|> data = tcpclisock.recv(BUFSIZ)
if not data:
break
print(data.decode())
tcpclisock.close()<|fim_middle|>#指明协议
tcpclisock = s... | code_fim | hard | {
"lang": "python",
"repo": "LH3525/github",
"path": "/socket客户端.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ADDR)
while True:
data = input('>>')
if not data:
break
tcpclisock.send(data.encode())
data = tcpclisock.recv(BUFSIZ)
if not data:
break
print(data.decode())
tcpclisock.close()<|fim_prefix|># repo: LH3525/github path: /socket客户端.py
from socket import *
HOST = '127.... | code_fim | medium | {
"lang": "python",
"repo": "LH3525/github",
"path": "/socket客户端.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alldatacenter/alldata path: /ai/modelscope/modelscope/models/audio/aec/layers/deep_fsmn.py
# Copyright (c) Alibaba, Inc. and its affiliates.
import numpy as np
import torch as th
import torch.nn as nn
import torch.nn.functional as F
from .layer_base import (LayerBase, expect_kaldi_matrix, expec... | code_fim | hard | {
"lang": "python",
"repo": "alldatacenter/alldata",
"path": "/ai/modelscope/modelscope/models/audio/aec/layers/deep_fsmn.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> output = expect_token_number(
instr,
'<LStride>',
)
if output is None:
raise Exception('UniDeepFsmn format error for <LStride>')
instr, lstride = output
self.lstride = lstride
output = expect_token_number(
ins... | code_fim | hard | {
"lang": "python",
"repo": "alldatacenter/alldata",
"path": "/ai/modelscope/modelscope/models/audio/aec/layers/deep_fsmn.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>class _C:
def f(self) -> None: ...
@classmethod
def h(cls) -> None: ...
def set_loky_pickler(loky_pickler: Optional[Any] = ...) -> None: ...
def loads(buf: Any): ...
def dump(obj: Any, file: Any, reducers: Optional[Any] = ..., protocol: Optional[Any] = ...) -> None: ...
def dumps(obj: Any, re... | code_fim | medium | {
"lang": "python",
"repo": "jdtzmn/kindle-news-assistant",
"path": "/stubs/joblib/externals/loky/backend/reduction.pyi",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def dumps(obj: Any, reducers: Optional[Any] = ..., protocol: Optional[Any] = ...): ...<|fim_prefix|># repo: jdtzmn/kindle-news-assistant path: /stubs/joblib/externals/loky/backend/reduction.pyi
from typing import Any, Optional
class _ReducerRegistry:
dispatch_table: Any = ...
@classmethod
de... | code_fim | medium | {
"lang": "python",
"repo": "jdtzmn/kindle-news-assistant",
"path": "/stubs/joblib/externals/loky/backend/reduction.pyi",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jdtzmn/kindle-news-assistant path: /stubs/joblib/externals/loky/backend/reduction.pyi
from typing import Any, Optional
class _ReducerRegistry:
dispatch_table: Any = ...
@classmethod
def register(cls, type: Any, reduce_func: Any) -> None: ...
register: Any
<|fim_suffix|>def set_loky... | code_fim | medium | {
"lang": "python",
"repo": "jdtzmn/kindle-news-assistant",
"path": "/stubs/joblib/externals/loky/backend/reduction.pyi",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return data, data_ids
def save_data(data, data_ids, outdir, split):
print ('Saving {} data...'.format(split))
saver = DataSaver(os.path.join(outdir, split), cfg, train=(split!='test'))
for item,id in zip(data,data_ids):
saver.write_image(id, item)
saver.write_index()
if... | code_fim | hard | {
"lang": "python",
"repo": "LvHang/waldo",
"path": "/egs/icdar2015/v1/local/process_data.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LvHang/waldo path: /egs/icdar2015/v1/local/process_data.py
#!/usr/bin/env python3
# Copyright 2018 Johns Hopkins University (author: Yiwen Shao, Desh Raj)
# Apache 2.0
""" This script prepares the training, validation and test data for ICDAR2015 in a pytorch fashion
"""
import os
import argpar... | code_fim | hard | {
"lang": "python",
"repo": "LvHang/waldo",
"path": "/egs/icdar2015/v1/local/process_data.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Index01/GSL-vts path: /flask/helpfulDecorators.py
from functools import wraps
import json
from jsonschema import validate, FormatChecker, ValidationError
from datetime import datetime
def json_attribs_check(func):
"""
Decorator for validating json, a thing we might do often.
... | code_fim | hard | {
"lang": "python",
"repo": "Index01/GSL-vts",
"path": "/flask/helpfulDecorators.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> gslvtsSchema = {"type":"object",
"properties":{
"tagID": {"type":"number"},
"UTC": {"type":"string",
"format":"date-time"}
},
"required":["tagID","UTC"]
... | code_fim | hard | {
"lang": "python",
"repo": "Index01/GSL-vts",
"path": "/flask/helpfulDecorators.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: znuxor/adventofcode2017 path: /12b.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from pprint import pprint
with open('12a_data.txt', 'r') as problem_input:
data_input = problem_input.read().split('\n')
del(data_input[-1])
<|fim_suffix|>for node_number in range(len(data_input)):
... | code_fim | hard | {
"lang": "python",
"repo": "znuxor/adventofcode2017",
"path": "/12b.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> graph_nodes.add(current_node_number)
new_nodes = [int(x.rstrip(',')) for x in data_input[current_node_number].split(' ')[2:]]
for a_new_node in new_nodes:
if a_new_node not in graph_nodes:
build_graph(a_new_node)
for node_number in range(len(data_input)):
if node_numbe... | code_fim | hard | {
"lang": "python",
"repo": "znuxor/adventofcode2017",
"path": "/12b.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sardok/aiogear path: /examples/admin.py
import sys
import os.path
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
import pprint
import asyncio
import argparse
from aiogear import Admin
def parse_args():
args = sys.argv[1:]
parser = argparse.ArgumentParse... | code_fim | hard | {
"lang": "python",
"repo": "sardok/aiogear",
"path": "/examples/admin.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Version
result = await admin.version()
pprint.pprint(result)
# Verbose
result = await admin.verbose()
pprint.pprint(result)
loop.stop()
if __name__ == '__main__':
args = parse_args()
loop = asyncio.get_event_loop()
loop.run_until_complete(main(loop, args.addr, ... | code_fim | hard | {
"lang": "python",
"repo": "sardok/aiogear",
"path": "/examples/admin.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AdamSwenson/TwitterProject path: /DataAnalysis/ProcessingTools/Queues/AsyncQueues.py
"""
Created by adam on 5/4/18
"""
__author__ = 'adam'
import environment
import asyncio
from collections import deque
from Server.ClientSide.Clients import Client
# instrumenting to determine if running async
f... | code_fim | hard | {
"lang": "python",
"repo": "AdamSwenson/TwitterProject",
"path": "/DataAnalysis/ProcessingTools/Queues/AsyncQueues.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # mark future as done
# (we aren't waiting for the result, just the sending)
future.set_result(True)
return future
async def flush_queue( self, future ):
"""Sends everything in queue to server"""
b = [ self.store.pop() for _ in range( 0, len(self.store ... | code_fim | hard | {
"lang": "python",
"repo": "AdamSwenson/TwitterProject",
"path": "/DataAnalysis/ProcessingTools/Queues/AsyncQueues.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cedricxie/apollo-r3.0.0 path: /modules/drivers/lidar_velodyne/tools/extend/pose_tf_sender.py
#!/usr/bin/env python
import rospy
# Because of transformations
import tf
import tf2_ros
import geometry_msgs.msg
import time
import velodyne_msgs.msg
import sensor_msgs.msg
<|fim_suffix|>if __name... | code_fim | hard | {
"lang": "python",
"repo": "cedricxie/apollo-r3.0.0",
"path": "/modules/drivers/lidar_velodyne/tools/extend/pose_tf_sender.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> br = tf2_ros.TransformBroadcaster()
t = geometry_msgs.msg.TransformStamped()
if ctime:
t.header.stamp = rospy.Time(ctime)
else:
t.header.stamp = rospy.Time.now()
t.header.frame_id = "world"
t.child_frame_id = "localization"
t.transform.translation.x = 439917.45... | code_fim | medium | {
"lang": "python",
"repo": "cedricxie/apollo-r3.0.0",
"path": "/modules/drivers/lidar_velodyne/tools/extend/pose_tf_sender.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
rospy.init_node('tf_pose_sender')
raw_topic_name = "/apollo/sensor/velodyne16/VelodyneScanUnified"
pointcloud_topic_name = "/apollo/sensor/velodyne16/PointCloud2"
rospy.Subscriber(pointcloud_topic_name, sensor_msgs.msg.PointCloud2, point_cloud_handler);
rospy... | code_fim | medium | {
"lang": "python",
"repo": "cedricxie/apollo-r3.0.0",
"path": "/modules/drivers/lidar_velodyne/tools/extend/pose_tf_sender.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> vs_name = vs['name']
vs_partition = vs['partition']
policy_partition = 'Common'
v = bigip.tm.ltm.virtuals.virtual
obj = v.load(name=vs_name,
partition=vs_partition)
p = obj.policies_s
policies = p.get_collection()
# see... | code_fim | hard | {
"lang": "python",
"repo": "sapcc/f5-openstack-agent",
"path": "/f5_openstack_agent/lbaasv2/drivers/bigip/listener_service.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sapcc/f5-openstack-agent path: /f5_openstack_agent/lbaasv2/drivers/bigip/listener_service.py
r definition.
:param bigips: Array of BigIP class instances to delete Listener.
"""
vip = self.service_adapter.get_virtual_name(service)
tls = self.service_adapter.get_tls(... | code_fim | hard | {
"lang": "python",
"repo": "sapcc/f5-openstack-agent",
"path": "/f5_openstack_agent/lbaasv2/drivers/bigip/listener_service.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _remove_ssl_profile(self, name, bigip):
"""Delete profile.
:param name: Name of profile to delete.
:param bigip: Single BigIP instances to update.
"""
try:
ssl_client_profile = bigip.tm.ltm.profile.client_ssls.client_ssl
if ssl_clien... | code_fim | hard | {
"lang": "python",
"repo": "sapcc/f5-openstack-agent",
"path": "/f5_openstack_agent/lbaasv2/drivers/bigip/listener_service.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: x4nth055/pythoncode-tutorials path: /web-programming/news_project/news_app/urls.py
from django.urls import path
from .views import JournalistView, ArticleView, ArticleDetailView
<|fim_suffix|>urlpatterns=[
path('journalist/', JournalistView.as_view() ),
path('article/', ArticleView.as_vi... | code_fim | easy | {
"lang": "python",
"repo": "x4nth055/pythoncode-tutorials",
"path": "/web-programming/news_project/news_app/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>urlpatterns=[
path('journalist/', JournalistView.as_view() ),
path('article/', ArticleView.as_view() ),
path('article/<int:pk>/', ArticleDetailView.as_view()),
]<|fim_prefix|># repo: x4nth055/pythoncode-tutorials path: /web-programming/news_project/news_app/urls.py
from django.urls import pat... | code_fim | easy | {
"lang": "python",
"repo": "x4nth055/pythoncode-tutorials",
"path": "/web-programming/news_project/news_app/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: goutomroy/django_channel2_watching_hollywood path: /watching_hollywood/celery.py
from __future__ import absolute_import, unicode_literals
from celery import Celery
from celery.schedules import crontab
import os
from kombu import Exchange, Queue
# set the default Django settings module for the '... | code_fim | hard | {
"lang": "python",
"repo": "goutomroy/django_channel2_watching_hollywood",
"path": "/watching_hollywood/celery.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> 'main.tasks.data_builder': 'high',
'main.tasks.pull_page': 'metered',
}
celery_app = Celery('watching_hollywood')
celery_app.config_from_object(Config)
celery_app.autodiscover_tasks()<|fim_prefix|># repo: goutomroy/django_channel2_watching_hollywood path: /watching_hollywood/celery.... | code_fim | medium | {
"lang": "python",
"repo": "goutomroy/django_channel2_watching_hollywood",
"path": "/watching_hollywood/celery.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> task_routes = {
'main.tasks.data_builder': 'high',
'main.tasks.pull_page': 'metered',
}
celery_app = Celery('watching_hollywood')
celery_app.config_from_object(Config)
celery_app.autodiscover_tasks()<|fim_prefix|># repo: goutomroy/django_channel2_watching_hollywood path: /watch... | code_fim | hard | {
"lang": "python",
"repo": "goutomroy/django_channel2_watching_hollywood",
"path": "/watching_hollywood/celery.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Mozilla-Games/OpenWebGamesTestDrive path: /run.py
import subprocess, sys
def run_process(cmd):
<|fim_suffix|>cmd = ['python', 'emrun.py'] + sys.argv[1:] + ['--safe_firefox_profile', 'index.html', 'autorun']
run_process(cmd)<|fim_middle|> try:
subprocess.check_call(cmd)
except KeyboardInterrup... | code_fim | medium | {
"lang": "python",
"repo": "Mozilla-Games/OpenWebGamesTestDrive",
"path": "/run.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>cmd = ['python', 'emrun.py'] + sys.argv[1:] + ['--safe_firefox_profile', 'index.html', 'autorun']
run_process(cmd)<|fim_prefix|># repo: Mozilla-Games/OpenWebGamesTestDrive path: /run.py
import subprocess, sys
def run_process(cmd):
<|fim_middle|> try:
subprocess.check_call(cmd)
except KeyboardInterrup... | code_fim | medium | {
"lang": "python",
"repo": "Mozilla-Games/OpenWebGamesTestDrive",
"path": "/run.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NYU-CI/RCCustomers path: /federated_fulltext_searches.py
#### parsing functions
from collections import OrderedDict
from richcontext import scholapi as rc_scholapi
import sys
import datetime
import json
import re
def get_xml_node_value (root, name):
"""
return the named value fro... | code_fim | hard | {
"lang": "python",
"repo": "NYU-CI/RCCustomers",
"path": "/federated_fulltext_searches.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def export(meta_list):
file_name = "{}_{}_linkages.json".format(datetime.date.today().strftime("%Y%m%d"),re.sub(" ","_",search_term))
print('Writing {} results from 2 APIs to {}'.format(len(meta_list),file_name))
with open(file_name, 'w') as outfile:
json.dump(meta_list, outfile,indent... | code_fim | hard | {
"lang": "python",
"repo": "NYU-CI/RCCustomers",
"path": "/federated_fulltext_searches.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> article_meta = result["MedlineCitation"]["Article"]
meta = OrderedDict()
meta["title"] = article_meta["ArticleTitle"]
meta["journal"] = article_meta["Journal"]["Title"]
meta["api"] = "pubmed"
try:
pid_list = article_meta["ELocationID"]
if isinstance(pid_list,lis... | code_fim | hard | {
"lang": "python",
"repo": "NYU-CI/RCCustomers",
"path": "/federated_fulltext_searches.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for info in infoList:
if(len(re.compile(r'Download').findall(info.text.strip()))):
response = urlopen('https://muse.jhu.edu' + info['href'])
filename = info['href'] + '.pdf'
filename = filename.replace('/','')
file =response.read()
# 文件存储
with ope... | code_fim | medium | {
"lang": "python",
"repo": "realhsq/Python-crawler",
"path": "/1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: realhsq/Python-crawler path: /1.py
from urllib.request import urlopen
from urllib.request import Request
from urllib import parse
from bs4 import BeautifulSoup
import os
import re
import ssl
url = 'https://muse.jhu.edu/issue/938'
req = Request(url)
req.add_header("User-Agent","Mozilla/5.... | code_fim | medium | {
"lang": "python",
"repo": "realhsq/Python-crawler",
"path": "/1.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: arita37/d-script path: /demo_pipeline/nnclass.py
import h5py
import numpy as np
import matplotlib.pylab as plt
import networkx
'''
Analyzing the features extracted by Pat to create an adjacency matrix
'''
datapath = '/fileserver'
datapath = '/data/fs4/datasets'
featfile = datapath+'/icdar13/be... | code_fim | medium | {
"lang": "python",
"repo": "arita37/d-script",
"path": "/demo_pipeline/nnclass.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
A = np.load(model)
imfeat = imfeat / np.linalg.norm(imfeat)
confidence = A.dot( imfeat.T ).squeeze()
arglist = confidence.argsort()[::-1]
confidence.sort()
confidence = confidence[::-1]
return arglist, confidence<|fim_prefix|># repo: arita37/d-script path: /demo_pipeline/nnc... | code_fim | medium | {
"lang": "python",
"repo": "arita37/d-script",
"path": "/demo_pipeline/nnclass.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tdnavarrom/Numerical-Analytics-App path: /Guide.py
from gi.repository import Gtk
import gi
gi.require_version('Gtk', '3.0')
class Guide(Gtk.Grid):
def __init__(self):
self.grid = Gtk.Grid()
self.grid = self.create_ui()
def create_ui(self):
grid = Gtk.Grid()
... | code_fim | hard | {
"lang": "python",
"repo": "tdnavarrom/Numerical-Analytics-App",
"path": "/Guide.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> "El metodo de <b>Regla Falsa</b> funciona mediante un intervalo inicial [xi,xu], se encuentra el punto de interseccion del eje x con la recta secante que une los puntos (xi,f(xi) y (xu,f(xu) y se evalúa en la funcion f(x).\n"
"La funcion f debe estar definida en el intervalo [xi,xu... | code_fim | hard | {
"lang": "python",
"repo": "tdnavarrom/Numerical-Analytics-App",
"path": "/Guide.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ryanjung94/fastaiv2_study path: /04_SGD_example.py
from fastai.vision.all import *
from fastbook import *
from matplotlib import pyplot as plt
time = torch.arange(0, 20).float()
print(time)
speed = torch.randn(20) * 3 + 0.75*(time-9.5)**2 + 1
#plt.scatter(time, speed)
#plt.show()
def f(t, para... | code_fim | hard | {
"lang": "python",
"repo": "ryanjung94/fastaiv2_study",
"path": "/04_SGD_example.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>loss.backward()
print(params.grad)
print(params.grad * 1e-5)
print(params)
lr = 1e-5
params.data -= lr * params.grad.data
params.grad = None
preds = f(time, params)
print(mse(preds, speed))
show_preds(preds)
#plt.show()
def apply_step(params, prn=True):
preds = f(time, params)
loss = mse(preds... | code_fim | hard | {
"lang": "python",
"repo": "ryanjung94/fastaiv2_study",
"path": "/04_SGD_example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> form = ResetPasswordForm(data={})
assert not form.is_valid()
assert form.errors == {
'password1': [_('This field is required.')],
'password2': [_('This field is required.')],
}<|fim_prefix|># repo: jimialex/django-wise path: /apps/accounts/tests/uni... | code_fim | hard | {
"lang": "python",
"repo": "jimialex/django-wise",
"path": "/apps/accounts/tests/unit/forms/test_reset_password.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @staticmethod
def test_blank_data():
form = ResetPasswordForm(data={})
assert not form.is_valid()
assert form.errors == {
'password1': [_('This field is required.')],
'password2': [_('This field is required.')],
}<|fim_prefix|># repo: jimiale... | code_fim | hard | {
"lang": "python",
"repo": "jimialex/django-wise",
"path": "/apps/accounts/tests/unit/forms/test_reset_password.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jimialex/django-wise path: /apps/accounts/tests/unit/forms/test_reset_password.py
# -*- coding: utf-8 -*-
from apps.accounts.forms import ResetPasswordForm
from django.utils.translation import ugettext_lazy as _
<|fim_suffix|> form = ResetPasswordForm(data={})
assert not form.i... | code_fim | hard | {
"lang": "python",
"repo": "jimialex/django-wise",
"path": "/apps/accounts/tests/unit/forms/test_reset_password.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for k in minimal_set:
value = unknown_summary[next(iter(unknown_summary[k]))]
if isinstance(value['value'], dict):
# print(k,value['value']['varDisplay'])
minimal_set[k] = value['value']['varDisplay']
else:
# print(k,value['symbol_context']['... | code_fim | hard | {
"lang": "python",
"repo": "OpenDSA/OpenDSA",
"path": "/tools/deforms_feedback.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OpenDSA/OpenDSA path: /tools/deforms_feedback.py
f nodes in MET.subtree,
# try to find leaf nodes in AET.subtree that they match with.
# mark/unmark these as per match (possibly using dg_node_match or similar)
# UPDATE: We're going to do this later when we only have leaf... | code_fim | hard | {
"lang": "python",
"repo": "OpenDSA/OpenDSA",
"path": "/tools/deforms_feedback.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OpenDSA/OpenDSA path: /tools/deforms_feedback.py
operand = \
l_children[0] if "NegativeOne" in l_children[1] \
else l_children[1]
if not "Symbol" in operand:
continue
... | code_fim | hard | {
"lang": "python",
"repo": "OpenDSA/OpenDSA",
"path": "/tools/deforms_feedback.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> install_requires=[
'tar-progress',
'click',
'tqdm'
],
entry_points='''
[console_scripts]
shadow=shadow.cli:main
'''
)<|fim_prefix|># repo: jimimvp/shadow path: /setup.py
from setuptools import setup
from setuptools import setup
setup(
name... | code_fim | medium | {
"lang": "python",
"repo": "jimimvp/shadow",
"path": "/setup.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jimimvp/shadow path: /setup.py
from setuptools import setup
from setuptools import setup
setup(
name='shadow',
<|fim_suffix|>
entry_points='''
[console_scripts]
shadow=shadow.cli:main
'''
)<|fim_middle|> version='0.1',
keywords='Easy commandline encryption',
... | code_fim | medium | {
"lang": "python",
"repo": "jimimvp/shadow",
"path": "/setup.py",
"mode": "psm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thonny/thonny path: /thonny/plugins/cells.py
# -*- coding: utf-8 -*-
import re
from thonny import get_runner, get_workbench, ui_utils
from thonny.codeview import CodeViewText
cell_regex = re.compile(r"(^|\n)(# ?%%|##|# In\[\d+\]:)[^\n]*", re.MULTILINE) # @UndefinedVariable
def update_editor... | code_fim | hard | {
"lang": "python",
"repo": "thonny/thonny",
"path": "/thonny/plugins/cells.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Looks like this solution is safe, but I don't dare to include
it in the main code.
UPDATE: not safe. Select and delete a block of lines. Write a new
line and do Ctrl-Z"""
original_intercept_mark = CodeViewText.intercept_mark
def _patched_intercept_mark(self, *args):
if a... | code_fim | hard | {
"lang": "python",
"repo": "thonny/thonny",
"path": "/thonny/plugins/cells.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tkuennen/globus-cli path: /globus_cli/parsing/__init__.py
from globus_cli.parsing.custom_group import globus_group
from globus_cli.parsing.main_command_decorator import globus_main_func
from globus_cli.parsing.case_insensitive_choice import CaseInsensitiveChoice
from globus_cli.parsing.task_path... | code_fim | hard | {
"lang": "python",
"repo": "tkuennen/globus-cli",
"path": "/globus_cli/parsing/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> 'CaseInsensitiveChoice',
'ENDPOINT_PLUS_OPTPATH', 'ENDPOINT_PLUS_REQPATH',
'TaskPath',
'one_use_option',
'HiddenOption',
'ISOTimeType',
'EXPLICIT_NULL',
'common_options',
# Transfer options
'endpoint_id_arg', 'task_id_arg', 'task_submission_options',
'delete... | code_fim | hard | {
"lang": "python",
"repo": "tkuennen/globus-cli",
"path": "/globus_cli/parsing/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: theseana/apondaone path: /Term 3/5/main-trace.py
import tkinter as tk
from tkinter import ttk
from tkcalendar import DateEntry
def register_btn():
f = first_name.get()
l = last_name.get()
b = birth_date.get()
g = gender.get()
template = f'{f},{l},{b},{g}\n'
file = open(... | code_fim | hard | {
"lang": "python",
"repo": "theseana/apondaone",
"path": "/Term 3/5/main-trace.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>tk.Label(register, text='Gender').grid(row=3, column=0)
gender = tk.StringVar()
gender.set('-select-')
choices = ['F', 'M', 'Others', 'Not to Say']
tk.OptionMenu(register, gender, *choices).grid(row=3, column=1, sticky=tk.W+tk.E)
tk.Button(
register,
text='Register',
command=register_btn
... | code_fim | hard | {
"lang": "python",
"repo": "theseana/apondaone",
"path": "/Term 3/5/main-trace.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def max_pool(input, ksize=[1, 2, 2, 1], strides=[1, 2, 2, 1], padding='SAME'):
return tf.nn.max_pool(input, ksize=ksize, strides=strides, padding=padding)
# Initial
with tf.name_scope('input'):
x = tf.placeholder(tf.float32, shape=[None, 784],name='x-input')
y_label = tf.placeholder(tf.float... | code_fim | hard | {
"lang": "python",
"repo": "Liang813/GRIST",
"path": "/scripts/study_case/ID_24/Mnist.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Liang813/GRIST path: /scripts/study_case/ID_24/Mnist.py
#-*-coding=utf-8-*-
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
from datetime import datetime
import numpy as np
import sys
import sys
sys.path.append("/data")
mnist = input_data.read_data_sets('MNIST_... | code_fim | hard | {
"lang": "python",
"repo": "Liang813/GRIST",
"path": "/scripts/study_case/ID_24/Mnist.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
unittest.main()<|fim_prefix|># repo: jschmer/MiniCheese path: /AllTests.py
import unittest
<|fim_middle|>from MoveTest import MoveTest
from BoardTest import BoardTest
from NegamaxPlayerTest import NegamaxPlayerTest
| code_fim | medium | {
"lang": "python",
"repo": "jschmer/MiniCheese",
"path": "/AllTests.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jschmer/MiniCheese path: /AllTests.py
import unittest
<|fim_suffix|>if __name__ == "__main__":
unittest.main()<|fim_middle|>from MoveTest import MoveTest
from BoardTest import BoardTest
from NegamaxPlayerTest import NegamaxPlayerTest
| code_fim | medium | {
"lang": "python",
"repo": "jschmer/MiniCheese",
"path": "/AllTests.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: odai1990/data-structures-and-algorithms path: /challenges/QueueWithStacks/queuewithstacks/queue_with_stacks.py
from queuewithstacks.stack import Stack
class PseudoQueue:
def __init__(self):
'''
Create tow stacks
'''
self.first_stack=Stack()
self.seco... | code_fim | hard | {
"lang": "python",
"repo": "odai1990/data-structures-and-algorithms",
"path": "/challenges/QueueWithStacks/queuewithstacks/queue_with_stacks.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
enqueue is method to add element ot queue
'''
while self.second_stack.top:
self.first_stack.push(self.second_stack.pop())
self.first_stack.push(value)
def dequeue(self):
'''
dequeue is method to return and delete element in queu... | code_fim | medium | {
"lang": "python",
"repo": "odai1990/data-structures-and-algorithms",
"path": "/challenges/QueueWithStacks/queuewithstacks/queue_with_stacks.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return render(
request,
"magplan/ideas/show.html",
{
"idea": idea,
"form": form,
"issues_suggesions": issues_suggesions,
"comment_form": CommentModelForm(),
"AUTHOR_TYPE_CHOICES": Idea.AUTHOR_TYPE_CHOICES,
... | code_fim | hard | {
"lang": "python",
"repo": "f1nnix/magplan",
"path": "/src/magplan/views/ideas.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> if request.method == "POST":
score = request.POST.get("score", DEFAULT_VOTE_SCORE)
else:
score = request.GET.get("score", DEFAULT_VOTE_SCORE)
score = safe_cast(score, to=int, on_error=DEFAULT_VOTE_SCORE)
allowed_scored: List[int] = [score_choice[0] for score_choice in Vot... | code_fim | hard | {
"lang": "python",
"repo": "f1nnix/magplan",
"path": "/src/magplan/views/ideas.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: f1nnix/magplan path: /src/magplan/views/ideas.py
import datetime
import os
from typing import List, Tuple, Optional
import django_filters
import html2text
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.core.mail import EmailMultiAlternat... | code_fim | hard | {
"lang": "python",
"repo": "f1nnix/magplan",
"path": "/src/magplan/views/ideas.py",
"mode": "psm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kokimoribe/subsample-seq path: /tests/test_cli.py
"""
Module for testing CLI
See http://click.pocoo.org/6/testing/
"""
import pytest
from click.testing import CliRunner
from subsample_seq import cli
from subsample_seq.constants import FASTA, FASTQ
@pytest.fixture(name='runner')
def fixture_ru... | code_fim | hard | {
"lang": "python",
"repo": "kokimoribe/subsample-seq",
"path": "/tests/test_cli.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> result = runner.invoke(cli.main, args, input=stdin)
expected_output = r"""@test_record_0
ACCATTCCCCATAATCAGGGCTAGACCTCCACGGTAAACGGGAAATGCGCTTACGCTATTGTTCCATTACACAAC
+
VPz#iu16@J9f@Dx)J4f,}7Jt$;=+r7r^"}s6u950Hq+0'LX^C*%v9p8R/JY5N[2SA7XEe%mB`tm
@test_record_3
AGACACAGATCAGCCCAAAGATTGATACTACAGTGTGAT... | code_fim | hard | {
"lang": "python",
"repo": "kokimoribe/subsample-seq",
"path": "/tests/test_cli.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Test subsampling fastq file"""
sample_size = 3
seed = 1
args = [
'--file-format', FASTQ,
'--sample-size', sample_size,
'--seed', seed,
'-',
'-'
]
stdin = r"""@test_record_0
ACCATTCCCCATAATCAGGGCTAGACCTCCACGGTAAACGGGAAATGCGCTTACGCTATTGTTC... | code_fim | hard | {
"lang": "python",
"repo": "kokimoribe/subsample-seq",
"path": "/tests/test_cli.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Logs progress using G loss, D loss, G(x), D(G(x)), visualizations
of Generator output.
Inputs:
num_epochs: int, number of epochs to train for
G_lr: float, learning rate for generator's Adam optimizer
D_lr: float, learning rate for discri... | code_fim | hard | {
"lang": "python",
"repo": "Wiki-fan/generative-models",
"path": "/src/ns_gan.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Wiki-fan/generative-models path: /src/ns_gan.py
""" (NS GAN) https://arxiv.org/abs/1406.2661
Non-saturating GAN.
From the abstract: 'We propose a new framework for estimating generative models
via an adversarial process, in which we simultaneously train two models: a
generative model G that capt... | code_fim | hard | {
"lang": "python",
"repo": "Wiki-fan/generative-models",
"path": "/src/ns_gan.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Compute the non-saturating loss for how D did versus the generations
# of G using sigmoid cross entropy
G_loss = -torch.mean(torch.log(DG_score + 1e-8))
return G_loss
if __name__ == "__main__":
from src.mnist_utils import *
# Load in binarized MNIST data, sepa... | code_fim | hard | {
"lang": "python",
"repo": "Wiki-fan/generative-models",
"path": "/src/ns_gan.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>"""
__version__ = "0.1.dev0"<|fim_prefix|># repo: jangocheng/pytorch-lightning path: /src/pytorch-lightning/__init__.py
"""
=================
pytorch-lightning
=================
<|fim_middle|>The Keras for ML researchers using PyTorch. More control. Less boilerplate.
| code_fim | medium | {
"lang": "python",
"repo": "jangocheng/pytorch-lightning",
"path": "/src/pytorch-lightning/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>__version__ = "0.1.dev0"<|fim_prefix|># repo: jangocheng/pytorch-lightning path: /src/pytorch-lightning/__init__.py
"""
=================
pytorch-lightning
=================
<|fim_middle|>The Keras for ML researchers using PyTorch. More control. Less boilerplate.
"""
| code_fim | medium | {
"lang": "python",
"repo": "jangocheng/pytorch-lightning",
"path": "/src/pytorch-lightning/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jangocheng/pytorch-lightning path: /src/pytorch-lightning/__init__.py
"""
=================
pytorch-lightning
=================
<|fim_suffix|>__version__ = "0.1.dev0"<|fim_middle|>The Keras for ML researchers using PyTorch. More control. Less boilerplate.
"""
| code_fim | medium | {
"lang": "python",
"repo": "jangocheng/pytorch-lightning",
"path": "/src/pytorch-lightning/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def format_time_str_to_timestamp(time_str, time_format='%Y-%m-%d'):
return int(time.mktime(time.strptime(time_str, time_format)))
def datetime_to_timestamp(dt, is_utc=False):
"""
:param dt: datetime or date instance
:param is_utc: bool
"""
if not isinstance(dt, datetime.datetime... | code_fim | hard | {
"lang": "python",
"repo": "kaka19ace/kkutil",
"path": "/kkutil/type_util/time_tool.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
:param dt: datetime or date instance
:param is_utc: bool
"""
if not isinstance(dt, datetime.datetime): # it is date
dt = datetime.datetime.combine(dt, datetime.time.min)
return time.mktime(dt.timetuple()) if not is_utc else calendar.timegm(dt.utctimetuple())<|fim_prefi... | code_fim | hard | {
"lang": "python",
"repo": "kaka19ace/kkutil",
"path": "/kkutil/type_util/time_tool.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kaka19ace/kkutil path: /kkutil/type_util/time_tool.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
import sys
import time
import datetime
import calendar
from decimal import Decimal
PY2 = (int(sys.version[0]) == 2)
def seconds_to_duration_format(seconds=0, with_hour_output=False):
<|fim_... | code_fim | hard | {
"lang": "python",
"repo": "kaka19ace/kkutil",
"path": "/kkutil/type_util/time_tool.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ale,
Sequence,
Translation,
)
__all__ = [
"BaseTransformation",
"Identity",
"MapAxis",
"Translation",
"Scale",
"Affine",
"Sequence",
"get_transformation",
"set_transformation",
"remove_transformation",
"get_transformation_between_coordinate_systems",
... | code_fim | medium | {
"lang": "python",
"repo": "scverse/spatialdata",
"path": "/src/spatialdata/transformations/__init__.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: scverse/spatialdata path: /src/spatialdata/transformations/__init__.py
from spatialdata.transformations.operations import (
align_elements_using_landmarks,
get_transformation,
get_transformation_between_coordinate_systems,
get_transformation_betwee<|fim_suffix|>ale,
Sequence,
... | code_fim | medium | {
"lang": "python",
"repo": "scverse/spatialdata",
"path": "/src/spatialdata/transformations/__init__.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: iTsluku/codenames-pysimplegui path: /codenamesGUI.py
mport *
from collections import deque
initModel = False
stack = deque()
'''
state 0 : no active game
state 1 : team1 enter codename
state 2 : team1 guess names
state 3 : team2 enter codename
state 4 : team2 guess names
'''
state = 0 # default... | code_fim | hard | {
"lang": "python",
"repo": "iTsluku/codenames-pysimplegui",
"path": "/codenamesGUI.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if gamesLeft <= 3:
window['games-counter'].update(text_color=colorGold)
else:
window['games-counter'].update(text_color="white")
# init gui
window = sg.Window('codenames', layout, finalize=True)
toggle = True
while True:
event, values = window.read()
if event == 'exit'... | code_fim | hard | {
"lang": "python",
"repo": "iTsluku/codenames-pysimplegui",
"path": "/codenamesGUI.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: iTsluku/codenames-pysimplegui path: /codenamesGUI.py
ont=(
"Helvetica", fs), k='out-text12'),
sg.Button('', size=(tsh, tsv), font=(
"Helvetica", fs), k='out-text13'),
sg.Button('', size=(tsh, tsv), font=(
"Helvetica", fs), k='out-text14'),
sg.Button('', s... | code_fim | hard | {
"lang": "python",
"repo": "iTsluku/codenames-pysimplegui",
"path": "/codenamesGUI.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: arfaghif/Python-Compiler-CNF path: /a/Foldertubes/Test Case/TC05.py
import sys
class Car:
def __init__(self):
self.engine = None
self.price = 0
self.brand = ''
self.gas = 0
def set_engine(self, engine):
self.engine = engine
def set_price(self, price):
self.price = price
de... | code_fim | medium | {
"lang": "python",
"repo": "arfaghif/Python-Compiler-CNF",
"path": "/a/Foldertubes/Test Case/TC05.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in range(10):
print('TBFO matkul favoritku')
continue
if __name__ == '__main__':
car = Car()
car.do_nothing()
for i in range(10):
car.fill_gas(4)
car.go()
if i == 5:
break
print(car is Car)<|fim_prefix|># repo: arfaghif/Python-Compiler-CNF path: /a/Foldertubes/Test Case/TC... | code_fim | hard | {
"lang": "python",
"repo": "arfaghif/Python-Compiler-CNF",
"path": "/a/Foldertubes/Test Case/TC05.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def save_car_model(self):
with open('car.model', 'r') as f_out:
f_out.writelines(self.engine)
f_out.writelines(self.price)
f_out.writelines(self.brand)
f_out.writelines(self.gas)
def do_nothing(self):
pass
def go(self):
km = 0
tired = False
while not tired and self.gas > 0:... | code_fim | hard | {
"lang": "python",
"repo": "arfaghif/Python-Compiler-CNF",
"path": "/a/Foldertubes/Test Case/TC05.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ptr-yudai/ptrlib path: /examples/pwn/ex_sock.py
#!/usr/bin/env python
from ptrlib import *
# establish connection
sock = Socket("www.example.com", 80)
<|fim_suffix|># receive request until Content-Length
sock.recvuntil("Content-Length: ")
# receive a line
l = int(sock.recvline())
print("Conten... | code_fim | medium | {
"lang": "python",
"repo": "ptr-yudai/ptrlib",
"path": "/examples/pwn/ex_sock.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># close connection
sock.close()
# establish connection
sock = Socket("www.example.com", 80)
# send request
request = b'GET / HTTP/1.1\r\n'
request += b'Host: www.example.com\r\n\r\n'
sock.send(request)
print("Content-Length = {}".format(sock.recvlineafter('Content-Length: ')))
# close connection
sock.... | code_fim | medium | {
"lang": "python",
"repo": "ptr-yudai/ptrlib",
"path": "/examples/pwn/ex_sock.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 1ayham1/Autonomous_Systems-semantic_segmentation path: /main.py
import os.path
import tensorflow as tf
import helper
import warnings
from distutils.version import LooseVersion
import project_tests as tests
# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'P... | code_fim | hard | {
"lang": "python",
"repo": "1ayham1/Autonomous_Systems-semantic_segmentation",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> training_loss = my_loss/ num_examples
train_loss_List.append(training_loss)
print("EPOCH {} ...".format(epoch+1))
print("Train loss = {:.3f}".format(training_loss))
print("Time: %.3f seconds" % (time.time() - start_time))
print()
# Visualize Results for... | code_fim | hard | {
"lang": "python",
"repo": "1ayham1/Autonomous_Systems-semantic_segmentation",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MinaProtocol/mina path: /automation/scripts/github_branch_autosync/github_autosync/__main__.py
""" Cli & Debug entrypoint """
import json
import argparse
import os
import sys
from gcloud_entrypoint import handle_incoming_commit_push_json,config,verify_signature
<|fim_suffix|>with open(args.payl... | code_fim | hard | {
"lang": "python",
"repo": "MinaProtocol/mina",
"path": "/automation/scripts/github_branch_autosync/github_autosync/__main__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>if not os.path.isfile(args.payload):
sys.exit('cannot find test file :',args.payload)
with open(args.payload,encoding="utf-8") as file:
data = json.load(file)
json_payload = json.dumps(data)
verify_signature(json_payload, args.secret, "sha=" + args.incoming_signature)<|fim_prefix|># repo:... | code_fim | hard | {
"lang": "python",
"repo": "MinaProtocol/mina",
"path": "/automation/scripts/github_branch_autosync/github_autosync/__main__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nigelmathes/GAME path: /world/character/views.py
from django.contrib.auth.models import User
from rest_framework import permissions
from rest_framework import viewsets
from character.models import Character, Abilities, AbilityEffects, AbilityEnhancements, PlayerClasses
from character.serializers... | code_fim | hard | {
"lang": "python",
"repo": "nigelmathes/GAME",
"path": "/world/character/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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