prompt large_stringlengths 72 9.34k | completion large_stringlengths 0 7.61k |
|---|---|
<|file_name|>logstream_test.py<|end_file_name|><｜fim▁begin｜>import zerorpc
import gevent.queue
import logging
import sys
logging.basicConfig()
# root logger
logger = logging.getLogger()
# set the mimimum level for root logger so it will be possible for a client
# to subscribe and receive logs for any log level
logg... | logger = logging.getLogger(logger_name)
getattr(logger, logger_level.lower())(message) |
<|file_name|>logstream_test.py<|end_file_name|><｜fim▁begin｜>import zerorpc
import gevent.queue
import logging
import sys
logging.basicConfig()
# root logger
logger = logging.getLogger()
# set the mimimum level for root logger so it will be possible for a client
# to subscribe and receive logs for any log level
logg... | """ List of initalized loggers """
return logging.getLogger().manager.loggerDict.keys() |
<|file_name|>logstream_test.py<|end_file_name|><｜fim▁begin｜>import zerorpc
import gevent.queue
import logging
import sys
logging.basicConfig()
# root logger
logger = logging.getLogger()
# set the mimimum level for root logger so it will be possible for a client
# to subscribe and receive logs for any log level
logg... | """ Closes all log_stream streams. """
while self._logging_handlers:
self._logging_handlers.pop().close() |
<|file_name|>logstream_test.py<|end_file_name|><｜fim▁begin｜>import zerorpc
import gevent.queue
import logging
import sys
logging.basicConfig()
# root logger
logger = logging.getLogger()
# set the mimimum level for root logger so it will be possible for a client
# to subscribe and receive logs for any log level
logg... | """ Attaches a log handler to the specified logger and sends emitted logs
back as stream.
"""
if logger_name != "" and logger_name not in self.available_loggers():
raise ValueError("logger {0} is not available".format(logger_name))
level_name_upper = level_name... |
<|file_name|>logstream_test.py<|end_file_name|><｜fim▁begin｜>import zerorpc
import gevent.queue
import logging
import sys
logging.basicConfig()
# root logger
logger = logging.getLogger()
# set the mimimum level for root logger so it will be possible for a client
# to subscribe and receive logs for any log level
logg... | raise ValueError("logger {0} is not available".format(logger_name)) |
<|file_name|>logstream_test.py<|end_file_name|><｜fim▁begin｜>import zerorpc
import gevent.queue
import logging
import sys
logging.basicConfig()
# root logger
logger = logging.getLogger()
# set the mimimum level for root logger so it will be possible for a client
# to subscribe and receive logs for any log level
logg... | return |
<|file_name|>logstream_test.py<|end_file_name|><｜fim▁begin｜>import zerorpc
import gevent.queue
import logging
import sys
logging.basicConfig()
# root logger
logger = logging.getLogger()
# set the mimimum level for root logger so it will be possible for a client
# to subscribe and receive logs for any log level
logg... | service = TestService()
server = zerorpc.Server(service)
server.bind(sys.argv[1])
logger.warning("starting service")
try:
server.run()
except BaseException, e:
logger.error(str(e))
finally:
logger.warning("shutting down") |
<|file_name|>logstream_test.py<|end_file_name|><｜fim▁begin｜>import zerorpc
import gevent.queue
import logging
import sys
logging.basicConfig()
# root logger
logger = logging.getLogger()
# set the mimimum level for root logger so it will be possible for a client
# to subscribe and receive logs for any log level
logg... | __init__ |
<|file_name|>logstream_test.py<|end_file_name|><｜fim▁begin｜>import zerorpc
import gevent.queue
import logging
import sys
logging.basicConfig()
# root logger
logger = logging.getLogger()
# set the mimimum level for root logger so it will be possible for a client
# to subscribe and receive logs for any log level
logg... | emit |
<|file_name|>logstream_test.py<|end_file_name|><｜fim▁begin｜>import zerorpc
import gevent.queue
import logging
import sys
logging.basicConfig()
# root logger
logger = logging.getLogger()
# set the mimimum level for root logger so it will be possible for a client
# to subscribe and receive logs for any log level
logg... | close |
<|file_name|>logstream_test.py<|end_file_name|><｜fim▁begin｜>import zerorpc
import gevent.queue
import logging
import sys
logging.basicConfig()
# root logger
logger = logging.getLogger()
# set the mimimum level for root logger so it will be possible for a client
# to subscribe and receive logs for any log level
logg... | emitted |
<|file_name|>logstream_test.py<|end_file_name|><｜fim▁begin｜>import zerorpc
import gevent.queue
import logging
import sys
logging.basicConfig()
# root logger
logger = logging.getLogger()
# set the mimimum level for root logger so it will be possible for a client
# to subscribe and receive logs for any log level
logg... | __init__ |
<|file_name|>logstream_test.py<|end_file_name|><｜fim▁begin｜>import zerorpc
import gevent.queue
import logging
import sys
logging.basicConfig()
# root logger
logger = logging.getLogger()
# set the mimimum level for root logger so it will be possible for a client
# to subscribe and receive logs for any log level
logg... | test |
<|file_name|>logstream_test.py<|end_file_name|><｜fim▁begin｜>import zerorpc
import gevent.queue
import logging
import sys
logging.basicConfig()
# root logger
logger = logging.getLogger()
# set the mimimum level for root logger so it will be possible for a client
# to subscribe and receive logs for any log level
logg... | available_loggers |
<|file_name|>logstream_test.py<|end_file_name|><｜fim▁begin｜>import zerorpc
import gevent.queue
import logging
import sys
logging.basicConfig()
# root logger
logger = logging.getLogger()
# set the mimimum level for root logger so it will be possible for a client
# to subscribe and receive logs for any log level
logg... | close_log_streams |
<|file_name|>logstream_test.py<|end_file_name|><｜fim▁begin｜>import zerorpc
import gevent.queue
import logging
import sys
logging.basicConfig()
# root logger
logger = logging.getLogger()
# set the mimimum level for root logger so it will be possible for a client
# to subscribe and receive logs for any log level
logg... | log_stream |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARUI... | return |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | pass |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | errors = resource.validate_resources()
if errors:
for r, error in errors:
print 'ERROR: %s: %s' % (r.name, error)
sys.exit(1) |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | log = list(change.stage_changes().reverse())
for item in log:
click.echo(item)
if d:
for line in item.details:
click.echo(' '*4+line)
if not log:
click.echo('No changes') |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | item = data.SL().get(log_action)
if not item:
click.echo('No staged changes for {}'.format(log_action))
else:
click.echo(item)
for line in item.details:
click.echo(' '*4+line) |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | uid = change.send_to_orchestration()
remember_uid(uid)
click.echo(uid) |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | operations.commit(uid) |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | commited = list(data.CL().collection(n))
if not commited:
click.echo('No history.')
return
commited.reverse()
click.echo(commited) |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | results = testing.test_all()
for name, result in results.items():
msg = '[{status}] {name} {message}'
kwargs = {
'name': name,
'message': '',
'status': 'OK',
}
if result['status'] == 'ok':
kwargs['status'] = click.style('OK', fg='... |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | data.CL().clean()
data.CD().clean() |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | for r, error in errors:
print 'ERROR: %s: %s' % (r.name, error)
sys.exit(1) |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | for line in item.details:
click.echo(' '*4+line) |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | click.echo('No changes') |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | click.echo('No staged changes for {}'.format(log_action)) |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | click.echo(item)
for line in item.details:
click.echo(' '*4+line) |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | click.echo('No history.')
return |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | kwargs['status'] = click.style('OK', fg='green') |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | kwargs['status'] = click.style('ERROR', fg='red')
kwargs['message'] = result['message'] |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | changes |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | validate |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | stage |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | staged_item |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | process |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | commit |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | history |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | test |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>
import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARU... | clean_history |
<|file_name|>sample.py<|end_file_name|><｜fim▁begin｜>import sys
sys.path.insert(0,'../')
from fast_guided_filter import blur
<｜fim▁hole｜><｜fim▁end｜> | print("hello") |
<|file_name|>collect_ppa_autopkgtests_results.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python3
# -*- Mode:Python; indent-tabs-mode:nil; tab-width:4 -*-
#
# Copyright (C) 2017 Canonical Ltd
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public Licen... | parser.add_argument("day", help="The day of the results, with format yyyymmdd")
args = parser.parse_args() |
<|file_name|>collect_ppa_autopkgtests_results.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python3
# -*- Mode:Python; indent-tabs-mode:nil; tab-width:4 -*-
#
# Copyright (C) 2017 Canonical Ltd
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public Licen... | parser = argparse.ArgumentParser()
parser.add_argument("day", help="The day of the results, with format yyyymmdd")
args = parser.parse_args()
install_autopkgtest_results_formatter()
with tempfile.TemporaryDirectory(dir=os.environ.get("HOME")) as temp_dir:
clone_results_repo(temp_dir)
... |
<|file_name|>collect_ppa_autopkgtests_results.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python3
# -*- Mode:Python; indent-tabs-mode:nil; tab-width:4 -*-
#
# Copyright (C) 2017 Canonical Ltd
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public Licen... | subprocess.check_call(
["sudo", "snap", "install", "autopkgtest-results-formatter", "--edge"]
) |
<|file_name|>collect_ppa_autopkgtests_results.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python3
# -*- Mode:Python; indent-tabs-mode:nil; tab-width:4 -*-
#
# Copyright (C) 2017 Canonical Ltd
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public Licen... | subprocess.check_call(
["git", "clone", "https://github.com/elopio/autopkgtest-results.git", dest_dir]
) |
<|file_name|>collect_ppa_autopkgtests_results.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python3
# -*- Mode:Python; indent-tabs-mode:nil; tab-width:4 -*-
#
# Copyright (C) 2017 Canonical Ltd
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public Licen... | subprocess.check_call(
[
"/snap/bin/autopkgtest-results-formatter",
"--destination",
dest_dir,
"--distros",
*distros,
"--day",
day,
]
) |
<|file_name|>collect_ppa_autopkgtests_results.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python3
# -*- Mode:Python; indent-tabs-mode:nil; tab-width:4 -*-
#
# Copyright (C) 2017 Canonical Ltd
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public Licen... | subprocess.check_call(
["git", "config", "--global", "user.email", "u1test+m-o@canonical.com"]
)
subprocess.check_call(["git", "config", "--global", "user.name", "snappy-m-o"])
subprocess.check_call(["git", "-C", repo_dir, "add", "--all"])
subprocess.check_call(
[
"git",... |
<|file_name|>collect_ppa_autopkgtests_results.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python3
# -*- Mode:Python; indent-tabs-mode:nil; tab-width:4 -*-
#
# Copyright (C) 2017 Canonical Ltd
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public Licen... | main() |
<|file_name|>collect_ppa_autopkgtests_results.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python3
# -*- Mode:Python; indent-tabs-mode:nil; tab-width:4 -*-
#
# Copyright (C) 2017 Canonical Ltd
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public Licen... | main |
<|file_name|>collect_ppa_autopkgtests_results.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python3
# -*- Mode:Python; indent-tabs-mode:nil; tab-width:4 -*-
#
# Copyright (C) 2017 Canonical Ltd
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public Licen... | install_autopkgtest_results_formatter |
<|file_name|>collect_ppa_autopkgtests_results.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python3
# -*- Mode:Python; indent-tabs-mode:nil; tab-width:4 -*-
#
# Copyright (C) 2017 Canonical Ltd
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public Licen... | clone_results_repo |
<|file_name|>collect_ppa_autopkgtests_results.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python3
# -*- Mode:Python; indent-tabs-mode:nil; tab-width:4 -*-
#
# Copyright (C) 2017 Canonical Ltd
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public Licen... | format_results |
<|file_name|>collect_ppa_autopkgtests_results.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python3
# -*- Mode:Python; indent-tabs-mode:nil; tab-width:4 -*-
#
# Copyright (C) 2017 Canonical Ltd
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public Licen... | commit_and_push |
<|file_name|>prefs.py<|end_file_name|><｜fim▁begin｜>import os, socket, sys, urllib
from wx.lib.embeddedimage import PyEmbeddedImage
ldc_name = "Live Debian Creator"
ldc_cli_version = "1.4.0"
ldc_gui_version = "1.11.0"
if (sys.platform == "win32"):
slash = "\\"
if os.path.isfile(sys.path[0]): #fix for compiled... | "3fGvmW3bauyzE/nCFXe4dIMsy45tVX889oT+83RXV5d5bf21MXIyZD3re2WGgnyfOFK9VG0J" |
<|file_name|>prefs.py<|end_file_name|><｜fim▁begin｜>import os, socket, sys, urllib
from wx.lib.embeddedimage import PyEmbeddedImage
ldc_name = "Live Debian Creator"
ldc_cli_version = "1.4.0"
ldc_gui_version = "1.11.0"
if (sys.platform == "win32"):
slash = "\\"
if os.path.isfile(sys.path[0]): #fix for compiled... | class AppURLopener(urllib.FancyURLopener):
version = "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1)"
#version = uiname + " " + uiversion + " / " + sys.platform
urllib._urlopener = AppURLopener() |
<|file_name|>prefs.py<|end_file_name|><｜fim▁begin｜>import os, socket, sys, urllib
from wx.lib.embeddedimage import PyEmbeddedImage
ldc_name = "Live Debian Creator"
ldc_cli_version = "1.4.0"
ldc_gui_version = "1.11.0"
if (sys.platform == "win32"):
slash = "\\"
if os.path.isfile(sys.path[0]): #fix for compiled... | version = "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1)"
#version = uiname + " " + uiversion + " / " + sys.platform |
<|file_name|>prefs.py<|end_file_name|><｜fim▁begin｜>import os, socket, sys, urllib
from wx.lib.embeddedimage import PyEmbeddedImage
ldc_name = "Live Debian Creator"
ldc_cli_version = "1.4.0"
ldc_gui_version = "1.11.0"
if (sys.platform == "win32"):
<|fim_middle|>
else:
slash = "/"
#socket.setdefaulttimeo... | slash = "\\"
if os.path.isfile(sys.path[0]): #fix for compiled binaries
homepath = os.path.dirname(sys.path[0]) + slash
else:
homepath = sys.path[0] + slash |
<|file_name|>prefs.py<|end_file_name|><｜fim▁begin｜>import os, socket, sys, urllib
from wx.lib.embeddedimage import PyEmbeddedImage
ldc_name = "Live Debian Creator"
ldc_cli_version = "1.4.0"
ldc_gui_version = "1.11.0"
if (sys.platform == "win32"):
slash = "\\"
if os.path.isfile(sys.path[0]): #fix for compiled... | homepath = os.path.dirname(sys.path[0]) + slash |
<|file_name|>prefs.py<|end_file_name|><｜fim▁begin｜>import os, socket, sys, urllib
from wx.lib.embeddedimage import PyEmbeddedImage
ldc_name = "Live Debian Creator"
ldc_cli_version = "1.4.0"
ldc_gui_version = "1.11.0"
if (sys.platform == "win32"):
slash = "\\"
if os.path.isfile(sys.path[0]): #fix for compiled... | homepath = sys.path[0] + slash |
<|file_name|>prefs.py<|end_file_name|><｜fim▁begin｜>import os, socket, sys, urllib
from wx.lib.embeddedimage import PyEmbeddedImage
ldc_name = "Live Debian Creator"
ldc_cli_version = "1.4.0"
ldc_gui_version = "1.11.0"
if (sys.platform == "win32"):
slash = "\\"
if os.path.isfile(sys.path[0]): #fix for compiled... | slash = "/" |
<|file_name|>prefs.py<|end_file_name|><｜fim▁begin｜>import os, socket, sys, urllib
from wx.lib.embeddedimage import PyEmbeddedImage
ldc_name = "Live Debian Creator"
ldc_cli_version = "1.4.0"
ldc_gui_version = "1.11.0"
if (sys.platform == "win32"):
slash = "\\"
if os.path.isfile(sys.path[0]): #fix for compiled... | defineBrowserAgent |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... |
class LW_GlobalAveragePooling1D(_LW_GlobalPooling1D):
pass
|
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
<|fim_mi... | input_dim = 3
def __init__(self, pool_size=2, strides=None, padding='valid'):
if strides is None:
strides = pool_size
assert padding in {'valid', 'same'}, 'border_mode must be in {valid, same}'
self.pool_length = pool_size
self.stride = strides
self.border_mod... |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | if strides is None:
strides = pool_size
assert padding in {'valid', 'same'}, 'border_mode must be in {valid, same}'
self.pool_length = pool_size
self.stride = strides
self.border_mode = padding |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | length = conv_output_length(input_shape[1], self.pool_length, self.border_mode, self.stride)
return (input_shape[0], length, input_shape[2]) |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | def __init__(self, pool_size=2, strides=None, padding='valid'):
super(LW_MaxPooling1D, self).__init__(pool_size, strides, padding) |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | super(LW_MaxPooling1D, self).__init__(pool_size, strides, padding) |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | def __init__(self, pool_size=2, strides=None, padding='valid'):
super(LW_AveragePooling1D, self).__init__(pool_size, strides, padding) |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | super(LW_AveragePooling1D, self).__init__(pool_size, strides, padding) |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | def __init__(self, pool_size=(2, 2), strides=None, padding='valid', data_format='default'):
if data_format == 'default':
data_format = default_data_format
assert data_format in {'channels_last', 'channels_first'}, 'data_format must be in {channels_last, channels_first}'
self.pool... |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | if data_format == 'default':
data_format = default_data_format
assert data_format in {'channels_last', 'channels_first'}, 'data_format must be in {channels_last, channels_first}'
self.pool_size = tuple(pool_size)
if strides is None:
strides = self.pool_size
... |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | if self.dim_ordering == 'channels_first':
rows = input_shape[2]
cols = input_shape[3]
elif self.dim_ordering == 'channels_last':
rows = input_shape[1]
cols = input_shape[2]
else:
raise Exception('Invalid dim_ordering: ' + self.dim_order... |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | def __init__(self, pool_size=(2, 2), strides=None, padding='valid', data_format='default'):
super(LW_MaxPooling2D, self).__init__(pool_size, strides, padding, data_format) |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | super(LW_MaxPooling2D, self).__init__(pool_size, strides, padding, data_format) |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | def __init__(self, pool_size=(2, 2), strides=None, padding='valid', data_format='default'):
super(LW_AveragePooling2D, self).__init__(pool_size, strides, padding, data_format) |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | super(LW_AveragePooling2D, self).__init__(pool_size, strides, padding, data_format) |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | def __init__(self, pool_size=(2, 2, 2), strides=None, border_mode='valid', dim_ordering='default'):
if dim_ordering == 'default':
dim_ordering = default_data_format
assert dim_ordering in {'channels_last', 'channels_first'}, 'data_format must be in {channels_last, channels_first}'
... |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | if dim_ordering == 'default':
dim_ordering = default_data_format
assert dim_ordering in {'channels_last', 'channels_first'}, 'data_format must be in {channels_last, channels_first}'
self.pool_size = tuple(pool_size)
if strides is None:
strides = self.pool_size
... |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | if self.dim_ordering == 'channels_first':
len_dim1 = input_shape[2]
len_dim2 = input_shape[3]
len_dim3 = input_shape[4]
elif self.dim_ordering == 'channels_last':
len_dim1 = input_shape[1]
len_dim2 = input_shape[2]
len_dim3 = input_... |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | def __init__(self, pool_size=(2, 2, 2), strides=None, border_mode='valid', dim_ordering='default'):
super(LW_MaxPooling3D, self).__init__(pool_size, strides, border_mode, dim_ordering) |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | super(LW_MaxPooling3D, self).__init__(pool_size, strides, border_mode, dim_ordering) |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | def __init__(self, pool_size=(2, 2, 2), strides=None, border_mode='valid', dim_ordering='default'):
super(LW_AveragePooling3D, self).__init__(pool_size, strides, border_mode, dim_ordering) |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | super(LW_AveragePooling3D, self).__init__(pool_size, strides, border_mode, dim_ordering) |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | def __init__(self):
pass
def get_output_shape_for(self, input_shape):
return (input_shape[0], input_shape[2]) |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | pass |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | return (input_shape[0], input_shape[2]) |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | pass |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | pass |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | def __init__(self, data_format='default'):
if data_format == 'default':
data_format = default_data_format
self.dim_ordering = data_format
def get_output_shape_for(self, input_shape):
if self.dim_ordering == 'channels_last':
return (input_shape[0], input_shape[3])
... |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | if data_format == 'default':
data_format = default_data_format
self.dim_ordering = data_format |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | if self.dim_ordering == 'channels_last':
return (input_shape[0], input_shape[3])
else:
return (input_shape[0], input_shape[1]) |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | pass |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | pass |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | def __init__(self, data_format='default'):
if data_format == 'default':
data_format = default_data_format
self.dim_ordering = data_format
def get_output_shape_for(self, input_shape):
if self.dim_ordering == 'channels_last':
return (input_shape[0], input_shape[4])
... |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | if data_format == 'default':
data_format = default_data_format
self.dim_ordering = data_format |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | if self.dim_ordering == 'channels_last':
return (input_shape[0], input_shape[4])
else:
return (input_shape[0], input_shape[1]) |
<|file_name|>layers_pooling.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
from layers_basic import LW_Layer, default_data_format
from layers_convolutional import conv_output_length
###############################################
class _LW_Pooling1D(LW_Layer):
input_di... | pass |
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