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py | 1a4a6eddf05555bc16718929ae110f85df55cca2 | """
模板方法模式
结构中只存在父类与子类之间的继承关系：先定义一个类模板，在模板类中定义各种操作的顺序（骨架），但并不实现这些操作，这些操作由子类来操作；
将一些复杂流程的实现步骤封装在一系列基本方法中，在抽象父类中提供模板方法来定义这些基本方法的执行次序框架；
通过其子类来覆盖某些具体的执行步骤，从而使得相同的算法框架可以有不同的执行结果；
在本例中模板为钓鱼方法，决定了抽象方法的调用顺序，这在父类中实现、由子类实例调用；
抽象方法为钓鱼方法的每个步骤（准备鱼饵、选择出行方式、选择钓鱼地点），这在子类中实现，由钓鱼方法内部调用。
"""
import abc
""" 钓鱼模板基类 """
class Fishing(object, metaclass=abc.ABCMeta):
def finishing(self):
"""
具体方法：确定了要依次执行哪些操作才能钓鱼
:return:
"""
self.prepare_bait()
self.go_to_riverbank()
self.find_location()
print("start fishing")
@abc.abstractmethod
def prepare_bait(self):
"""
准备鱼饵
:return:
"""
pass
@abc.abstractmethod
def go_to_riverbank(self):
"""
选择出行方式
:return:
"""
pass
@abc.abstractmethod
def find_location(self):
"""
选择钓鱼地点
:return:
"""
pass
""" John 钓鱼步骤 """
class JohnFishing(Fishing):
def prepare_bait(self):
print("John: buy bait from Taobao")
def go_to_riverbank(self):
"""
从淘宝购买鱼饵
"""
print("John: to river by driving")
def find_location(self):
"""
在岛上选择钓点
"""
print("John: select location on the island")
""" Simon 钓鱼步骤 """
class SimonFishing(Fishing):
def prepare_bait(self):
"""
从京东购买鱼饵
"""
print("Simon: buy bait from JD")
def go_to_riverbank(self):
"""
骑自行车去钓鱼
"""
print("Simon: to river by biking")
def find_location(self):
"""
在河边选择钓点
"""
print("Simon: select location on the riverbank")
if __name__ == '__main__':
f = JohnFishing() # John 去钓鱼
f.finishing()
f = SimonFishing() # Simon 去钓鱼
f.finishing()
|
py | 1a4a6f616c982e59154767fe96e8ef78396613be | import abc
from time import time
from urllib import parse
from ... import gvars
from ...utils import open_connection
class HTTPResponse:
def __init__(self, client):
self.client = client
self.done = False
self.header_size = 0
self.body_size = 0
self.speed = 0
self.start = time()
@property
def size(self):
return self.header_size + self.body_size
def on_header(self, name: bytes, value: bytes):
self.header_size += len(name) + len(value)
def on_message_complete(self):
self.done = True
seconds = time() - self.start
self.speed = int(self.size / 1024 / seconds) # KB/s
def on_body(self, body: bytes):
self.body_size += len(body)
class ClientBase(abc.ABC):
sock = None
target_addr = ("unknown", -1)
def __init__(self, namespace):
self.ns = namespace
def __repr__(self):
return f"{self.__class__.__name__}({self})"
def __str__(self):
return f"{self.bind_address} -- {self.target_address}"
async def __aenter__(self):
return self
async def __aexit__(self, et, e, tb):
await self.close()
async def close(self):
if self.sock:
await self.sock.close()
self.sock = None
@property
@abc.abstractmethod
def proto(self):
""
@property
def bind_address(self) -> str:
return f"{self.ns.bind_addr[0]}:{self.ns.bind_addr[1]}"
@property
def target_address(self) -> str:
return f"{self.target_addr[0]}:{self.target_addr[1]}"
async def connect(self, target_addr, source_addr=None):
self.target_addr = target_addr
if self.sock:
return
self.sock = await open_connection(*self.ns.bind_addr, source_addr=source_addr)
@abc.abstractmethod
async def init(self):
""
async def recv(self, size):
return await self.sock.recv(size)
async def sendall(self, data):
return await self.sock.sendall(data)
async def http_request(
self, uri: str, method: str = "GET", headers: list = None, response_cls=None
):
import httptools
response_cls = response_cls or HTTPResponse
url = parse.urlparse(uri)
host, _, port = url.netloc.partition(":")
try:
port = int(port)
except ValueError:
if url.scheme == "http":
port = 80
elif url.scheme == "https":
port = 443
else:
raise Exception(f"unknown scheme: {url.scheme}")
target_addr = (host, port)
await self.connect(target_addr)
await self.init()
header_list = [f"Host: {self.target_address}".encode()]
if headers:
for header in headers:
if isinstance(header, str):
header = header.encode()
header_list.append(header)
ver = b"HTTP/1.1"
method = method.upper().encode()
url = url.geturl().encode()
data = b"%b %b %b\r\n%b\r\n\r\n" % (method, url, ver, b"\r\n".join(header_list))
await self.sendall(data)
response = response_cls(self)
parser = httptools.HttpResponseParser(response)
while not response.done:
data = await self.recv(gvars.PACKET_SIZE)
if not data:
raise Exception("Incomplete response")
parser.feed_data(data)
return response
|
py | 1a4a70620ae1908624f5391e48f21ca43e9d38d9 | """
Django settings for mysite project.
Generated by 'django-admin startproject' using Django 1.11.6.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.11/ref/settings/
"""
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.11/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = '-xzp&e14hnrs4&p+=x#46nyv3w)(5&0@pj&b+l%_0+dx-e(z!b'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = '*'
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'polls',
]
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'mysite.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [os.path.join(BASE_DIR, 'templates')]
,
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'mysite.wsgi.application'
# Database
# https://docs.djangoproject.com/en/1.11/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.mysql',
'NAME': 'dj1902',
'USER': 'root',
'PASSWORD': 'tedu.cn',
'HOST': '127.0.0.1',
'PORT': '3306',
}
}
# Password validation
# https://docs.djangoproject.com/en/1.11/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/1.11/topics/i18n/
LANGUAGE_CODE = 'zh-hans'
TIME_ZONE = 'Asia/Shanghai'
USE_I18N = True
USE_L10N = True
USE_TZ = False
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.11/howto/static-files/
STATIC_URL = '/static/'
|
py | 1a4a73850560f8cb75e5d6f2eb9957774fba703e | # accounts/admin.py
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from .forms import CustomUserCreationForm, CustomUserChangeForm
from .models import CustomUser
class CustomUserAdmin(UserAdmin):
add_form = CustomUserCreationForm
form = CustomUserChangeForm
model = CustomUser
list_display = ['email', 'username',]
admin.site.register(CustomUser, CustomUserAdmin) |
py | 1a4a73cf9bc5d4062537e9791b62e71b8ee586c5 | from django.conf import settings
from django.conf.urls import handler404, handler500
from django.conf.urls.static import static
from django.contrib import admin
from django.urls import include, path
handler404 = 'foodgram_project.views.page_not_found' # noqa
handler500 = 'foodgram_project.views.server_error' # noqa
urlpatterns = [
path('auth/', include('users.urls')),
path('auth/', include('django.contrib.auth.urls')),
path('admin/', admin.site.urls),
path('about/', include('about.urls')),
path('', include('foodgram.urls')),
]
if settings.DEBUG:
urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)
urlpatterns += static(settings.STATIC_URL, document_root=settings.STATIC_ROOT)
|
py | 1a4a744a708634e5396f821acda9831fd73ef509 | import sqlite3 as sql
import queries as qrs
import pandas as pd
# assignment 1
def connect_db(db='../rpg_db.sqlite3'):
return sql.connect(db)
def exec(conn, query):
curs = conn.cursor()
curs.execute(query)
res = curs.fetchall()
return res
# assignment 2
df = pd.DataFrame(pd.read_csv('../buddymove_holidayiq.csv'))
print(df.shape)
print(df.isnull().count())
conn = sql.connect('../buddymove_holidayiq.sqlite3')
# df.to_sql('review', conn)
# how many rows
row_count = 'SELECT COUNT(*) FROM review'
# how many users who reviewed at least 100 'Nature' and at least 100 in 'Shopping'
nature_and_shopping = 'SELECT COUNT(*) FROM review WHERE Nature >= 100 AND Shopping >= 100'
print(exec(conn, row_count))
print(exec(conn, nature_and_shopping))
|
py | 1a4a75f515ffb383e9921cf1e04d309e4c57a77e | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
PyCOMPSs Testbench
========================
"""
# Imports
import unittest
from modules.testMpiDecorator import testMpiDecorator
def main():
suite = unittest.TestLoader().loadTestsFromTestCase(testMpiDecorator)
unittest.TextTestRunner(verbosity=2).run(suite)
if __name__ == "__main__":
main()
|
py | 1a4a75ffb0e305aec3b048fbea411d7419b1328f | #!/usr/bin/env python
# $Id$
"""14,211,672 solutions"""
import puzzler
from puzzler.puzzles.polyhexes1234 import Polyhexes1234IrregularHexagon2
puzzler.run(Polyhexes1234IrregularHexagon2)
|
py | 1a4a760f08cd8ec329e33234af0b0bb822860548 | #!/usr/bin/python
#
# Converts KML files to BigQuery WKT geography objects (CSV)
from __future__ import print_function
import sys
import re
import xml.etree.ElementTree
e = xml.etree.ElementTree.parse(sys.argv[1]).getroot()
p = re.compile('^\{(.+?)\}')
matches = p.match(e.tag)
xmlns = matches.group(1)
document = e[0]
for pmark in document.findall('.//xmlns:Placemark', { 'xmlns' : xmlns }):
name = pmark.find('./xmlns:name', { 'xmlns' : xmlns })
print('"%s",' % name.text, end='')
for coord in pmark.findall('.//xmlns:coordinates', { 'xmlns' : xmlns }):
coordmatches = re.findall('(\d+\.\d+,\d+\.\d+),0[ \n]', coord.text)
print('"POLYGON((', end='')
i = 0
for m in coordmatches:
if i > 0:
print(',', end='')
print(m.replace(',', ' '), end='')
i += 1
print('))"')
|
py | 1a4a78245bf0bb553ca948827d8deb57a40a6f41 | #!usr/bin/python3.7
#author: kang-newbie
#github: https://github.com/kang-newbie
#contact: https://t.me/kang_nuubi
import os,sys,time
try:
os.mkdir('audio')
except: pass
def os_detek():
if os.name in ['nt', 'win32']:
os.system('cls')
else:
os.system('clear')
banner="""
;;;;;;;;;;;;;;;;;
; KARIN ; Author: KANG-NEWBIE
; SPEECH - TEXT ; Contact: t.me/kang_nuubi
;;;;;;;;;;;;;;;;;
"""
def sarg():
exit("""
Usage:
python %s --lang (language)
Example:
python %s --lang id
or
python %s --lang en"""%(sys.argv[0],sys.argv[0],sys.argv[0]))
if __name__=='__main__':
os_detek()
print(banner)
a=sys.version.split('.')
if a[0] != '3':
exit('use python version 3.x.x')
if len(sys.argv) != 3:
sarg()
if 'id' in sys.argv[2]:
os.system('python3 src/karin_id.py')
elif 'en' in sys.argv[2]:
os.system('python3 src/karin_en.py')
else: sarg()
|
py | 1a4a79766214bce2c54862f0ba91b60a1d34cf35 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import ee
from landdegradation.util import TEImage
from landdegradation.schemas.schemas import BandInfo
def download(asset, name, temporal_resolution, start_year, end_year,
EXECUTION_ID, logger):
"""
Download dataset from GEE assets.
"""
logger.debug("Entering download function.")
in_img = ee.Image(asset)
# if temporal_resolution != "one time":
# assert (start_year and end_year), "start year or end year not defined"
# out = in_img.select('y{}'.format(start_year))
# band_info = [BandInfo(name, add_to_map=True, metadata={'year': start_year})]
# for y in range(start_year + 1, end_year + 1):
# out.addBands(in_img.select('y{}'.format(start_year)))
# band_info.append(BandInfo(name, metadata={'year': start_year}))
# else:
# out = in_img
# band_info = [BandInfo(name, add_to_map=True)]
out = in_img
band_info = [BandInfo(name, add_to_map=True, metadata=in_img.getInfo()['properties'])]
n_bands = len(in_img.getInfo()['bands'])
if n_bands > 1:
band_info.extend([BandInfo(name, add_to_map=False, metadata=in_img.getInfo()['properties'])] * (n_bands - 1))
return TEImage(out, band_info)
|
py | 1a4a7a00570a030611dd92019bfae780561d007b | # model settings
input_size = 300
model = dict(
type='SingleStageDetector',
#pretrained='open-mmlab://vgg16_caffe',
pretrained='vgg16_caffe-292e1171.pth',
backbone=dict(
type='SSDVGG',
input_size=input_size,
depth=16,
with_last_pool=False,
ceil_mode=True,
out_indices=(3, 4),
out_feature_indices=(22, 34),
l2_norm_scale=20),
neck=None,
bbox_head=dict(
type='SSDHead',
input_size=input_size,
in_channels=(512, 1024, 512, 256, 256, 256),
num_classes=2,
anchor_strides=(8, 16, 32, 64, 100, 300),
basesize_ratio_range=(0.15, 0.9),
anchor_ratios=([2], [2, 3], [2, 3], [2, 3], [2], [2]),
target_means=(.0, .0, .0, .0),
target_stds=(0.1, 0.1, 0.2, 0.2)))
cudnn_benchmark = True
train_cfg = dict(
assigner=dict(
type='MaxIoUAssigner',
pos_iou_thr=0.5,
neg_iou_thr=0.5,
min_pos_iou=0.,
ignore_iof_thr=-1,
gt_max_assign_all=False),
smoothl1_beta=1.,
allowed_border=-1,
pos_weight=-1,
neg_pos_ratio=3,
debug=False)
test_cfg = dict(
nms=dict(type='nms', iou_thr=0.45),
min_bbox_size=0,
score_thr=0.02,
max_per_img=200)
# model training and testing settings
# dataset settings
dataset_type = 'CocoDataset'
#data_root = 'data/WIDERFACE2019'
data_root = 'WIDER/'
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
data = dict(
imgs_per_gpu=4,
workers_per_gpu=1,
train=dict(
type=dataset_type,
ann_file=data_root + '/WIDER_train/instances_train2019.json',
img_prefix=data_root + '/WIDER_train/images/',
img_scale=(300, 300),
img_norm_cfg=img_norm_cfg,
size_divisor=32,
flip_ratio=0.5,
with_mask=False,
with_crowd=True,
with_label=True,
extra_aug=dict(
photo_metric_distortion=dict(
brightness_delta=32,
contrast_range=(0.5, 1.5),
saturation_range=(0.5, 1.5),
hue_delta=18),
expand=dict(
mean=img_norm_cfg['mean'],
to_rgb=img_norm_cfg['to_rgb'],
ratio_range=(1, 4)),
random_crop=dict(
min_ious=(0.1, 0.3, 0.5, 0.7, 0.9), min_crop_size=0.3)),
resize_keep_ratio=False),
val=dict(
type=dataset_type,
ann_file=data_root + 'WIDER_val/instances_val2019.json',
img_prefix=data_root + 'WIDER_val/images/',
img_scale=(300, 300),
img_norm_cfg=img_norm_cfg,
size_divisor=32,
flip_ratio=0,
with_mask=False,
with_crowd=True,
with_label=True),
test=dict(
type=dataset_type,
ann_file=data_root + '/WIDER_val/instances_val2019.json',
img_prefix=data_root + '/WIDER_val/images/',
# img_scale=(640, 640),#no result
img_scale=(300, 300),
img_norm_cfg=img_norm_cfg,
size_divisor=32,
flip_ratio=0.0,
with_mask=False,
with_label=False,
test_mode=True,
resize_keep_ratio=False))
# optimizer
optimizer = dict(type='SGD', lr=1e-3, momentum=0.9, weight_decay=5e-4)
optimizer_config = dict()
# learning policy
lr_config = dict(
policy='step',
warmup='linear',
warmup_iters=1000,
warmup_ratio=1.0 / 3,
step=[16, 20])
checkpoint_config = dict(interval=1)
# yapf:disable
log_config = dict(
interval=50,
hooks=[
dict(type='TextLoggerHook')
])
# yapf:enable
# runtime settings
total_epochs = 24
dist_params = dict(backend='nccl')
log_level = 'INFO'
work_dir = './work_dirs/ssd300_coco'
load_from = None
resume_from = None
workflow = [('train', 1)]
|
py | 1a4a7aa33e8e9fd99be9bd1333192cb7d713bdad | from rest_framework import renderers
class PlainTextRenderer(renderers.BaseRenderer):
media_type = 'text/plain'
format = 'text'
def render(self, data, media_type=None, renderer_context=None):
json_data = renderers.JSONRenderer().render(data, media_type, renderer_context)
return str(json_data).encode(self.charset)
|
py | 1a4a7ace276641d8ba0fe761be9f2c5181f911f5 | import json
import numpy
import os
import re
import sys
# This script depends on a SJSON parsing package:
# https://pypi.python.org/pypi/SJSON/1.1.0
# https://shelter13.net/projects/SJSON/
# https://bitbucket.org/Anteru/sjson/src
import sjson
def get_clip_names(benchmarks):
clip_names = []
for bench in benchmarks:
run_name = bench['name']
matches = re.search('^([\w\_]+).acl/', run_name)
if matches == None:
print('Failed to find the clip name from benchmark run: {}', run_name)
else:
clip_name = matches.group(1)
clip_names.append(clip_name)
bench['clip_name'] = clip_name
return sorted(list(set(clip_names)))
def get_median_runs(clip_name, benchmarks):
pose = None
bone = None
for bench in benchmarks:
if bench['clip_name'] != clip_name:
continue # Not our clip
if 'Dir:0' not in bench['name']:
continue # Wrong direction
if bench['run_type'] != 'aggregate':
continue # Not an aggregate value
if bench['aggregate_name'] != 'median':
continue # Not our median
if 'Func:0' in bench['name']:
# Decompress pose
pose = bench
elif 'Func:1' in bench['name']:
# Decompress bone
bone = bench
return (pose, bone)
def ns_to_us(time_ns):
return time_ns / 1000.0
def bytessec_to_mbsec(bytes_per_sec):
return bytes_per_sec / (1024.0 * 1024.0)
def ms_to_s(time_ms):
return time_ms / 1000.0
def bytes_to_mb(num_bytes):
return num_bytes / (1024 * 1024)
if __name__ == "__main__":
if sys.version_info < (3, 4):
print('Python 3.4 or higher needed to run this script')
sys.exit(1)
if len(sys.argv) != 2 and len(sys.argv) != 3:
print('Usage: python gen_decomp_delta_stats.py <path/to/input_file.sjson> [-warm]')
sys.exit(1)
input_sjson_file = sys.argv[1]
if not input_sjson_file.endswith('.sjson'):
print('Expected SJSON input file, found: {}'.format(input_sjson_file))
sys.exit(1)
if not os.path.exists(input_sjson_file):
print('Input file not found: {}'.format(input_sjson_file))
sys.exit(1)
with open(input_sjson_file, 'r') as file:
input_sjson_data = sjson.loads(file.read())
clip_names = []
decomp_delta_us_csv_file = open('decomp_delta_forward_stats_us.csv', 'w')
decomp_delta_mbsec_csv_file = open('decomp_delta_forward_stats_mbsec.csv', 'w')
pose_size_per_clip = {}
per_entry_data = []
for entry in input_sjson_data['inputs']:
print('Processing {} ...'.format(entry['stats_dir']))
benchmark_json_file = os.path.join(entry['stats_dir'], 'benchmark_results.json')
with open(benchmark_json_file, 'r') as file:
json_data = json.loads(file.read())
benchmarks = json_data['benchmarks']
if len(clip_names) == 0:
clip_names = get_clip_names(benchmarks)
print('Variants,Config,Version,{}'.format(','.join(clip_names)), file = decomp_delta_us_csv_file)
print('Variants,Config,Version,{}'.format(','.join(clip_names)), file = decomp_delta_mbsec_csv_file)
else:
get_clip_names(benchmarks)
pose_medians_us = {}
bone_medians_us = {}
pose_medians_mbsec = {}
bone_medians_mbsec = {}
for clip_name in clip_names:
print(' Processing {} ...'.format(clip_name))
(pose_median_run, bone_median_run) = get_median_runs(clip_name, benchmarks)
# Convert from nanoseconds into milliseconds
pose_median = ns_to_us(pose_median_run['real_time'])
bone_median = ns_to_us(bone_median_run['real_time'])
pose_medians_us[clip_name] = pose_median
bone_medians_us[clip_name] = bone_median
# Convert from bytes/sec to megabytes/sec
pose_speed = bytessec_to_mbsec(pose_median_run['Speed'])
bone_speed = bytessec_to_mbsec(bone_median_run['Speed'])
pose_medians_mbsec[clip_name] = pose_speed
bone_medians_mbsec[clip_name] = bone_speed
data = {}
data['name'] = entry['name']
data['version'] = entry['version']
data['pose_medians_us'] = pose_medians_us
data['bone_medians_us'] = bone_medians_us
data['pose_medians_mbsec'] = pose_medians_mbsec
data['bone_medians_mbsec'] = bone_medians_mbsec
data['clip_names'] = clip_names
per_entry_data.append(data)
for data in per_entry_data:
pose_medians_us = data['pose_medians_us']
bone_medians_us = data['bone_medians_us']
pose_medians_mbsec = data['pose_medians_mbsec']
bone_medians_mbsec = data['bone_medians_mbsec']
clip_names = data['clip_names']
pose_medians_us_csv = []
bone_medians_us_csv = []
pose_medians_mbsec_csv = []
bone_medians_mbsec_csv = []
for clip_name in clip_names:
pose_size = pose_size_per_clip[clip_name]
pose_cold_median_us = pose_medians_us[clip_name]
bone_cold_median_us = bone_medians_us[clip_name]
pose_medians_us_csv.append(str(pose_cold_median_us))
bone_medians_us_csv.append(str(bone_cold_median_us))
pose_cold_speed_mbsec = pose_medians_mbsec[clip_name]
bone_cold_speed_mbsec = bone_medians_mbsec[clip_name]
# Convert the speed into MB/sec
pose_medians_mbsec_csv.append(str(pose_cold_speed_mbsec))
bone_medians_mbsec_csv.append(str(bone_cold_speed_mbsec))
print('decompress_pose,{},{},{}'.format(data['name'], data['version'], ','.join(pose_medians_us_csv)), file = decomp_delta_us_csv_file)
print('decompress_bone,{},{},{}'.format(data['name'], data['version'], ','.join(bone_medians_us_csv)), file = decomp_delta_us_csv_file)
print('decompress_pose,{},{},{}'.format(data['name'], data['version'], ','.join(pose_medians_mbsec_csv)), file = decomp_delta_mbsec_csv_file)
print('decompress_bone,{},{},{}'.format(data['name'], data['version'], ','.join(bone_medians_mbsec_csv)), file = decomp_delta_mbsec_csv_file)
decomp_delta_us_csv_file.close()
decomp_delta_mbsec_csv_file.close()
|
py | 1a4a7afa5302601fc4014bd0d73164497ed2ef45 | # -*- coding: utf-8 -*-
'''
A salt interface to psutil, a system and process library.
See http://code.google.com/p/psutil.
:depends: - psutil Python module, version 0.3.0 or later
- python-utmp package (optional)
'''
# Import python libs
from __future__ import absolute_import
import time
import datetime
import re
# Import salt libs
from salt.exceptions import SaltInvocationError, CommandExecutionError
# Import third party libs
import salt.ext.six as six
# pylint: disable=import-error
try:
import salt.utils.psutil_compat as psutil
HAS_PSUTIL = True
PSUTIL2 = getattr(psutil, 'version_info', ()) >= (2, 0)
except ImportError:
HAS_PSUTIL = False
# pylint: enable=import-error
def __virtual__():
if not HAS_PSUTIL:
return False, 'The ps module cannot be loaded: python module psutil not installed.'
# Functions and attributes used in this execution module seem to have been
# added as of psutil 0.3.0, from an inspection of the source code. Only
# make this module available if the version of psutil is >= 0.3.0. Note
# that this may need to be tweaked if we find post-0.3.0 versions which
# also have problems running the functions in this execution module, but
# most distributions have already moved to later versions (for example,
# as of Dec. 2013 EPEL is on 0.6.1, Debian 7 is on 0.5.1, etc.).
if psutil.version_info >= (0, 3, 0):
return True
return (False, 'The ps execution module cannot be loaded: the psutil python module version {0} is less than 0.3.0'.format(psutil.version_info))
def _get_proc_cmdline(proc):
'''
Returns the cmdline of a Process instance.
It's backward compatible with < 2.0 versions of psutil.
'''
try:
return proc.cmdline() if PSUTIL2 else proc.cmdline
except (psutil.NoSuchProcess, psutil.AccessDenied):
return ''
def _get_proc_create_time(proc):
'''
Returns the create_time of a Process instance.
It's backward compatible with < 2.0 versions of psutil.
'''
try:
return proc.create_time() if PSUTIL2 else proc.create_time
except (psutil.NoSuchProcess, psutil.AccessDenied):
return None
def _get_proc_name(proc):
'''
Returns the name of a Process instance.
It's backward compatible with < 2.0 versions of psutil.
'''
try:
return proc.name() if PSUTIL2 else proc.name
except (psutil.NoSuchProcess, psutil.AccessDenied):
return []
def _get_proc_status(proc):
'''
Returns the status of a Process instance.
It's backward compatible with < 2.0 versions of psutil.
'''
try:
return proc.status() if PSUTIL2 else proc.status
except (psutil.NoSuchProcess, psutil.AccessDenied):
return None
def _get_proc_username(proc):
'''
Returns the username of a Process instance.
It's backward compatible with < 2.0 versions of psutil.
'''
try:
return proc.username() if PSUTIL2 else proc.username
except (psutil.NoSuchProcess, psutil.AccessDenied, KeyError):
return None
def _get_proc_pid(proc):
'''
Returns the pid of a Process instance.
It's backward compatible with < 2.0 versions of psutil.
'''
return proc.pid
def top(num_processes=5, interval=3):
'''
Return a list of top CPU consuming processes during the interval.
num_processes = return the top N CPU consuming processes
interval = the number of seconds to sample CPU usage over
CLI Examples:
.. code-block:: bash
salt '*' ps.top
salt '*' ps.top 5 10
'''
result = []
start_usage = {}
for pid in psutil.pids():
try:
process = psutil.Process(pid)
user, system = process.cpu_times()
except ValueError:
user, system, _, _ = process.cpu_times()
except psutil.NoSuchProcess:
continue
start_usage[process] = user + system
time.sleep(interval)
usage = set()
for process, start in six.iteritems(start_usage):
try:
user, system = process.cpu_times()
except ValueError:
user, system, _, _ = process.cpu_times()
except psutil.NoSuchProcess:
continue
now = user + system
diff = now - start
usage.add((diff, process))
for idx, (diff, process) in enumerate(reversed(sorted(usage))):
if num_processes and idx >= num_processes:
break
if len(_get_proc_cmdline(process)) == 0:
cmdline = _get_proc_name(process)
else:
cmdline = _get_proc_cmdline(process)
info = {'cmd': cmdline,
'user': _get_proc_username(process),
'status': _get_proc_status(process),
'pid': _get_proc_pid(process),
'create_time': _get_proc_create_time(process),
'cpu': {},
'mem': {},
}
for key, value in six.iteritems(process.cpu_times()._asdict()):
info['cpu'][key] = value
for key, value in six.iteritems(process.memory_info()._asdict()):
info['mem'][key] = value
result.append(info)
return result
def get_pid_list():
'''
Return a list of process ids (PIDs) for all running processes.
CLI Example:
.. code-block:: bash
salt '*' ps.get_pid_list
'''
return psutil.pids()
def proc_info(pid, attrs=None):
'''
Return a dictionary of information for a process id (PID).
CLI Example:
.. code-block:: bash
salt '*' ps.proc_info 2322
salt '*' ps.proc_info 2322 attrs='["pid", "name"]'
pid
PID of process to query.
attrs
Optional list of desired process attributes. The list of possible
attributes can be found here:
http://pythonhosted.org/psutil/#psutil.Process
'''
try:
proc = psutil.Process(pid)
return proc.as_dict(attrs)
except (psutil.NoSuchProcess, psutil.AccessDenied, AttributeError) as exc:
raise CommandExecutionError(exc)
def kill_pid(pid, signal=15):
'''
Kill a process by PID.
.. code-block:: bash
salt 'minion' ps.kill_pid pid [signal=signal_number]
pid
PID of process to kill.
signal
Signal to send to the process. See manpage entry for kill
for possible values. Default: 15 (SIGTERM).
**Example:**
Send SIGKILL to process with PID 2000:
.. code-block:: bash
salt 'minion' ps.kill_pid 2000 signal=9
'''
try:
psutil.Process(pid).send_signal(signal)
return True
except psutil.NoSuchProcess:
return False
def pkill(pattern, user=None, signal=15, full=False):
'''
Kill processes matching a pattern.
.. code-block:: bash
salt '*' ps.pkill pattern [user=username] [signal=signal_number] \\
[full=(true|false)]
pattern
Pattern to search for in the process list.
user
Limit matches to the given username. Default: All users.
signal
Signal to send to the process(es). See manpage entry for kill
for possible values. Default: 15 (SIGTERM).
full
A boolean value indicating whether only the name of the command or
the full command line should be matched against the pattern.
**Examples:**
Send SIGHUP to all httpd processes on all 'www' minions:
.. code-block:: bash
salt 'www.*' ps.pkill httpd signal=1
Send SIGKILL to all bash processes owned by user 'tom':
.. code-block:: bash
salt '*' ps.pkill bash signal=9 user=tom
'''
killed = []
for proc in psutil.process_iter():
name_match = pattern in ' '.join(_get_proc_cmdline(proc)) if full \
else pattern in _get_proc_name(proc)
user_match = True if user is None else user == _get_proc_username(proc)
if name_match and user_match:
try:
proc.send_signal(signal)
killed.append(_get_proc_pid(proc))
except psutil.NoSuchProcess:
pass
if not killed:
return None
else:
return {'killed': killed}
def pgrep(pattern, user=None, full=False):
'''
Return the pids for processes matching a pattern.
If full is true, the full command line is searched for a match,
otherwise only the name of the command is searched.
.. code-block:: bash
salt '*' ps.pgrep pattern [user=username] [full=(true|false)]
pattern
Pattern to search for in the process list.
user
Limit matches to the given username. Default: All users.
full
A boolean value indicating whether only the name of the command or
the full command line should be matched against the pattern.
**Examples:**
Find all httpd processes on all 'www' minions:
.. code-block:: bash
salt 'www.*' ps.pgrep httpd
Find all bash processes owned by user 'tom':
.. code-block:: bash
salt '*' ps.pgrep bash user=tom
'''
procs = []
for proc in psutil.process_iter():
name_match = pattern in ' '.join(_get_proc_cmdline(proc)) if full \
else pattern in _get_proc_name(proc)
user_match = True if user is None else user == _get_proc_username(proc)
if name_match and user_match:
procs.append(_get_proc_pid(proc))
return procs or None
def cpu_percent(interval=0.1, per_cpu=False):
'''
Return the percent of time the CPU is busy.
interval
the number of seconds to sample CPU usage over
per_cpu
if True return an array of CPU percent busy for each CPU, otherwise
aggregate all percents into one number
CLI Example:
.. code-block:: bash
salt '*' ps.cpu_percent
'''
if per_cpu:
result = list(psutil.cpu_percent(interval, True))
else:
result = psutil.cpu_percent(interval)
return result
def cpu_times(per_cpu=False):
'''
Return the percent of time the CPU spends in each state,
e.g. user, system, idle, nice, iowait, irq, softirq.
per_cpu
if True return an array of percents for each CPU, otherwise aggregate
all percents into one number
CLI Example:
.. code-block:: bash
salt '*' ps.cpu_times
'''
if per_cpu:
result = [dict(times._asdict()) for times in psutil.cpu_times(True)]
else:
result = dict(psutil.cpu_times(per_cpu)._asdict())
return result
def virtual_memory():
'''
.. versionadded:: 2014.7.0
Return a dict that describes statistics about system memory usage.
.. note::
This function is only available in psutil version 0.6.0 and above.
CLI Example:
.. code-block:: bash
salt '*' ps.virtual_memory
'''
if psutil.version_info < (0, 6, 0):
msg = 'virtual_memory is only available in psutil 0.6.0 or greater'
raise CommandExecutionError(msg)
return dict(psutil.virtual_memory()._asdict())
def swap_memory():
'''
.. versionadded:: 2014.7.0
Return a dict that describes swap memory statistics.
.. note::
This function is only available in psutil version 0.6.0 and above.
CLI Example:
.. code-block:: bash
salt '*' ps.swap_memory
'''
if psutil.version_info < (0, 6, 0):
msg = 'swap_memory is only available in psutil 0.6.0 or greater'
raise CommandExecutionError(msg)
return dict(psutil.swap_memory()._asdict())
def disk_partitions(all=False):
'''
Return a list of disk partitions and their device, mount point, and
filesystem type.
all
if set to False, only return local, physical partitions (hard disk,
USB, CD/DVD partitions). If True, return all filesystems.
CLI Example:
.. code-block:: bash
salt '*' ps.disk_partitions
'''
result = [dict(partition._asdict()) for partition in
psutil.disk_partitions(all)]
return result
def disk_usage(path):
'''
Given a path, return a dict listing the total available space as well as
the free space, and used space.
CLI Example:
.. code-block:: bash
salt '*' ps.disk_usage /home
'''
return dict(psutil.disk_usage(path)._asdict())
def disk_partition_usage(all=False):
'''
Return a list of disk partitions plus the mount point, filesystem and usage
statistics.
CLI Example:
.. code-block:: bash
salt '*' ps.disk_partition_usage
'''
result = disk_partitions(all)
for partition in result:
partition.update(disk_usage(partition['mountpoint']))
return result
def total_physical_memory():
'''
Return the total number of bytes of physical memory.
CLI Example:
.. code-block:: bash
salt '*' ps.total_physical_memory
'''
if psutil.version_info < (0, 6, 0):
msg = 'virtual_memory is only available in psutil 0.6.0 or greater'
raise CommandExecutionError(msg)
try:
return psutil.virtual_memory().total
except AttributeError:
# TOTAL_PHYMEM is deprecated but with older psutil versions this is
# needed as a fallback.
return psutil.TOTAL_PHYMEM
def num_cpus():
'''
Return the number of CPUs.
CLI Example:
.. code-block:: bash
salt '*' ps.num_cpus
'''
try:
return psutil.cpu_count()
except AttributeError:
# NUM_CPUS is deprecated but with older psutil versions this is needed
# as a fallback.
return psutil.NUM_CPUS
def boot_time(time_format=None):
'''
Return the boot time in number of seconds since the epoch began.
CLI Example:
time_format
Optionally specify a `strftime`_ format string. Use
``time_format='%c'`` to get a nicely-formatted locale specific date and
time (i.e. ``Fri May 2 19:08:32 2014``).
.. _strftime: https://docs.python.org/2/library/datetime.html#strftime-strptime-behavior
.. versionadded:: 2014.1.4
.. code-block:: bash
salt '*' ps.boot_time
'''
try:
b_time = int(psutil.boot_time())
except AttributeError:
# get_boot_time() has been removed in newer psutil versions, and has
# been replaced by boot_time() which provides the same information.
b_time = int(psutil.boot_time())
if time_format:
# Load epoch timestamp as a datetime.datetime object
b_time = datetime.datetime.fromtimestamp(b_time)
try:
return b_time.strftime(time_format)
except TypeError as exc:
raise SaltInvocationError('Invalid format string: {0}'.format(exc))
return b_time
def network_io_counters(interface=None):
'''
Return network I/O statistics.
CLI Example:
.. code-block:: bash
salt '*' ps.network_io_counters
salt '*' ps.network_io_counters interface=eth0
'''
if not interface:
return dict(psutil.net_io_counters()._asdict())
else:
stats = psutil.net_io_counters(pernic=True)
if interface in stats:
return dict(stats[interface]._asdict())
else:
return False
def disk_io_counters(device=None):
'''
Return disk I/O statistics.
CLI Example:
.. code-block:: bash
salt '*' ps.disk_io_counters
salt '*' ps.disk_io_counters device=sda1
'''
if not device:
return dict(psutil.disk_io_counters()._asdict())
else:
stats = psutil.disk_io_counters(perdisk=True)
if device in stats:
return dict(stats[device]._asdict())
else:
return False
def get_users():
'''
Return logged-in users.
CLI Example:
.. code-block:: bash
salt '*' ps.get_users
'''
try:
recs = psutil.users()
return [dict(x._asdict()) for x in recs]
except AttributeError:
# get_users is only present in psutil > v0.5.0
# try utmp
try:
import utmp # pylint: disable=import-error
result = []
while True:
rec = utmp.utmpaccess.getutent()
if rec is None:
return result
elif rec[0] == 7:
started = rec[8]
if isinstance(started, tuple):
started = started[0]
result.append({'name': rec[4], 'terminal': rec[2],
'started': started, 'host': rec[5]})
except ImportError:
return False
def lsof(name):
'''
Retrieve the lsof informations of the given process name.
CLI Example:
.. code-block:: bash
salt '*' ps.lsof apache2
'''
sanitize_name = str(name)
lsof_infos = __salt__['cmd.run']("lsof -c " + sanitize_name)
ret = []
ret.extend([sanitize_name, lsof_infos])
return ret
def netstat(name):
'''
Retrieve the netstat informations of the given process name.
CLI Example:
.. code-block:: bash
salt '*' ps.netstat apache2
'''
sanitize_name = str(name)
netstat_infos = __salt__['cmd.run']("netstat -nap")
found_infos = []
ret = []
for info in netstat_infos.splitlines():
if info.find(sanitize_name) != -1:
found_infos.append(info)
ret.extend([sanitize_name, found_infos])
return ret
def psaux(name):
'''
Retrieve information corresponding to a "ps aux" filtered
with the given pattern. It could be just a name or a regular
expression (using python search from "re" module).
CLI Example:
.. code-block:: bash
salt '*' ps.psaux www-data.+apache2
'''
sanitize_name = str(name)
pattern = re.compile(sanitize_name)
salt_exception_pattern = re.compile("salt.+ps.psaux.+")
ps_aux = __salt__['cmd.run']("ps aux")
found_infos = []
ret = []
nb_lines = 0
for info in ps_aux.splitlines():
found = pattern.search(info)
if found is not None:
# remove 'salt' command from results
if not salt_exception_pattern.search(info):
nb_lines += 1
found_infos.append(info)
pid_count = str(nb_lines) + " occurence(s)."
ret = []
ret.extend([sanitize_name, found_infos, pid_count])
return ret
|
py | 1a4a7b07def79f101a829a32c0c1eedd560520c5 | # implementation of SLIC Superpixel algorithm
# reference: SLIC Superpixels Compared to State-of-the-art Superpixel Methods
# DOI: 10.1109/TPAMI.2012.120
# website: https://infoscience.epfl.ch/record/177415
# reference: SLIC算法分割超像素原理及Python实现: https://www.kawabangga.com/posts/1923
import cv2 as cv
import numpy as np
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--image', default="Lena.jpg", type=str, help='input image name')
parser.add_argument('--k', default=1000, type=int, help='number of clusters')
parser.add_argument('--m', default=30, type=int, help='balancing parameter')
args = parser.parse_args()
class Block(object):
def __init__(self, num, h, w, l=0, a=0, b=0):
self.number = num
self.h = h
self.w = w
self.l = l
self.a = a
self.b = b
self.pixels = [] # positions of the pixels which belongs to this block
def change_pos(self, h, w):
self.h = h
self.w = w
def change_color(self, l, a, b):
self.l = l
self.a = a
self.b = b
class Cluster(object):
def __init__(self, image, number, m):
self.image = image
self.k = number
self.m = m
self.height = image.shape[0]
self.width = image.shape[1]
self.pixels = self.height * self.width
self.block_length = int(np.sqrt(self.pixels / self.k))
self.label = np.full((self.height, self.width), -1, np.int32)
self.dis = np.full_like(self.label, np.inf, np.float32)
self.blocks = []
self.grad = cv.Laplacian(self.image, cv.CV_64F)
w = 0
h = self.block_length
j = 0
# in case that only half of the last line is covered
for i in range(self.k + 2 * int(self.width / self.block_length)):
w += self.block_length
if (i % 2) == 0:
h -= int((self.block_length - 1) / 2)
if h < 0:
break
else:
h += int((self.block_length - 1) / 2)
if h >= self.height:
break
if w >= self.width:
if (j % 2) == 0:
w = self.block_length
else:
w = int(self.block_length / 2)
h += self.block_length
j += 1
if h >= self.height:
break
self.blocks.append(Block(i, h, w))
self.adjust_blocks()
# adjust the positions of block centers
# move them to the points with the minimum gradients within the 3x3 regions
def adjust_blocks(self):
for block in self.blocks:
min_grad = np.sum(self.grad[block.h][block.w])
min_h = block.h
min_w = block.w
for i in range(-1, 2):
if block.h + i < 0 or block.h + i >= self.height:
continue # in case that the index goes out of boundary
for j in range(-1, 2):
if block.w + j < 0 or block.w + j >= self.width:
continue
new_grad = np.sum(self.grad[block.h + i][block.w + j])
if new_grad < min_grad:
min_grad = new_grad
min_h = block.h + i
min_w = block.w + j
block.change_pos(min_h, min_w)
block.pixels.append((min_h, min_w))
def distance(self, h1, w1, h2, w2):
l1 = int(self.image[h1][w1][0])
l2 = int(self.image[h2][w2][0])
a1 = int(self.image[h1][w1][1])
a2 = int(self.image[h2][w2][1])
b1 = int(self.image[h1][w1][2])
b2 = int(self.image[h2][w2][2])
d_lab = np.sqrt((np.square(l1 - l2) + np.square(a1 - a2) + np.square(b1 - b2)))
d_xy = np.sqrt(np.square(h1 - h2) + np.square(w1 - w2))
distance = d_lab + d_xy * (self.m / self.block_length)
return distance
def assign(self):
for block in self.blocks:
for h2 in range(block.h - 2 * self.block_length, block.h + 2 * self.block_length):
# out of boundary
if h2 < 0:
continue
if h2 >= self.height:
break
# in boundary
for w2 in range(block.w - 2 * self.block_length, block.w + 2 * self.block_length):
# out of boundary
if w2 < 0:
continue
if w2 >= self.width:
break
# in boundary
d = self.distance(block.h, block.w, h2, w2)
if self.label[h2][w2] < 0 or d < self.dis[h2][w2]:
if self.label[h2][w2] >= 0:
self.blocks[int(self.label[h2][w2])].pixels.remove((h2, w2))
self.label[h2][w2] = block.number
self.dis[h2][w2] = d
block.pixels.append((h2, w2))
# re-compute the center of the block
number_pixels = len(block.pixels)
new_h = 0
new_w = 0
for pixel in block.pixels:
new_h += pixel[0]
new_w += pixel[1]
new_h = int(new_h / number_pixels)
new_w = int(new_w / number_pixels)
block.change_pos(new_h, new_w)
block.pixels.append((new_h, new_w))
def color(self):
for block in self.blocks:
avg_l = 0
avg_a = 0
avg_b = 0
length = len(block.pixels)
for pixel in block.pixels:
_l = int(self.image[pixel[0]][pixel[1]][0])
_a = int(self.image[pixel[0]][pixel[1]][1])
_b = int(self.image[pixel[0]][pixel[1]][2])
avg_l += _l
avg_a += _a
avg_b += _b
avg_l = int(avg_l / length)
avg_a = int(avg_a / length)
avg_b = int(avg_b / length)
block.change_color(avg_l, avg_a, avg_b) # use the average color
def output(self):
new_image = np.zeros_like(self.image)
self.color()
for block in self.blocks:
for pixel in block.pixels:
new_image[pixel[0]][pixel[1]][0] = block.l
new_image[pixel[0]][pixel[1]][1] = block.a
new_image[pixel[0]][pixel[1]][2] = block.b
'''
new_image[block.h][block.w][0] = 0
new_image[block.h][block.w][1] = 0
new_image[block.h][block.w][2] = 0
'''
new_image = cv.cvtColor(new_image, cv.COLOR_LAB2BGR)
return new_image
if __name__ == '__main__':
file_name = args.image
cluster_number = args.k
m_param = args.m
img = cv.imread(file_name)
img = cv.cvtColor(img, cv.COLOR_BGR2LAB)
app = Cluster(image=img, number=int(cluster_number), m=int(m_param))
for it in range(10):
app.assign()
out_image = app.output()
name = "_new_" + str(it) + ".jpg"
cv.imwrite(name, out_image)
print(it)
|
py | 1a4a7b9d915749aeb1fcb751380dcdc75e3a2746 | # Generated by Django 3.1.4 on 2020-12-02 21:55
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Band',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=64)),
('area', models.CharField(max_length=64)),
('genre', models.CharField(max_length=64)),
('date_formed', models.DateTimeField()),
],
),
migrations.CreateModel(
name='Album',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=64)),
('label', models.CharField(max_length=64)),
('release', models.DateTimeField()),
('author', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='app.band')),
],
),
]
|
py | 1a4a7c273eaba0aa12d26abb6d52c6465fd74378 | # coding: utf-8
import re
import six
from huaweicloudsdkcore.sdk_response import SdkResponse
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class ShowProcessResponse(SdkResponse):
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
sensitive_list = []
openapi_types = {
'code': 'str',
'message': 'str',
'json': 'UploadProcessJson',
'extend': 'str'
}
attribute_map = {
'code': 'code',
'message': 'message',
'json': 'json',
'extend': 'extend'
}
def __init__(self, code=None, message=None, json=None, extend=None):
"""ShowProcessResponse - a model defined in huaweicloud sdk"""
super(ShowProcessResponse, self).__init__()
self._code = None
self._message = None
self._json = None
self._extend = None
self.discriminator = None
if code is not None:
self.code = code
if message is not None:
self.message = message
if json is not None:
self.json = json
if extend is not None:
self.extend = extend
@property
def code(self):
"""Gets the code of this ShowProcessResponse.
code
:return: The code of this ShowProcessResponse.
:rtype: str
"""
return self._code
@code.setter
def code(self, code):
"""Sets the code of this ShowProcessResponse.
code
:param code: The code of this ShowProcessResponse.
:type: str
"""
self._code = code
@property
def message(self):
"""Gets the message of this ShowProcessResponse.
message
:return: The message of this ShowProcessResponse.
:rtype: str
"""
return self._message
@message.setter
def message(self, message):
"""Sets the message of this ShowProcessResponse.
message
:param message: The message of this ShowProcessResponse.
:type: str
"""
self._message = message
@property
def json(self):
"""Gets the json of this ShowProcessResponse.
:return: The json of this ShowProcessResponse.
:rtype: UploadProcessJson
"""
return self._json
@json.setter
def json(self, json):
"""Sets the json of this ShowProcessResponse.
:param json: The json of this ShowProcessResponse.
:type: UploadProcessJson
"""
self._json = json
@property
def extend(self):
"""Gets the extend of this ShowProcessResponse.
extend
:return: The extend of this ShowProcessResponse.
:rtype: str
"""
return self._extend
@extend.setter
def extend(self, extend):
"""Sets the extend of this ShowProcessResponse.
extend
:param extend: The extend of this ShowProcessResponse.
:type: str
"""
self._extend = extend
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.openapi_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
if attr in self.sensitive_list:
result[attr] = "****"
else:
result[attr] = value
return result
def to_str(self):
"""Returns the string representation of the model"""
import simplejson as json
if six.PY2:
import sys
reload(sys)
sys.setdefaultencoding("utf-8")
return json.dumps(sanitize_for_serialization(self), ensure_ascii=False)
def __repr__(self):
"""For `print`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, ShowProcessResponse):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other
|
py | 1a4a7c399fb5e1d48b304f8929a7a91f8085b845 | # -*- coding:utf-8 -*-
__author__ = 'Randolph'
import os
import math
import gensim
import logging
import json
import torch
import numpy as np
import pandas as pd
from scipy import stats
from texttable import Texttable
from gensim.models import KeyedVectors
import torch.nn.utils.rnn as rnn_utils
def option():
"""
Choose training or restore pattern.
Returns:
The OPTION
"""
OPTION = input("[Input] Train or Restore? (T/R): ")
while not (OPTION.upper() in ['T', 'R']):
OPTION = input("[Warning] The format of your input is illegal, please re-input: ")
return OPTION.upper()
def logger_fn(name, input_file, level=logging.INFO):
"""
The Logger.
Args:
name: The name of the logger
input_file: The logger file path
level: The logger level
Returns:
The logger
"""
logger = logging.getLogger(name)
logger.setLevel(level)
log_dir = os.path.dirname(input_file)
if not os.path.exists(log_dir):
os.makedirs(log_dir)
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
# File Handler
fh = logging.FileHandler(input_file, mode='w')
fh.setFormatter(formatter)
logger.addHandler(fh)
# stream Handler
sh = logging.StreamHandler()
sh.setFormatter(formatter)
sh.setLevel(logging.WARNING)
logger.addHandler(sh)
return logger
def tab_printer(args, logger):
"""
Function to print the logs in a nice tabular format.
Args:
args: Parameters used for the model.
logger: The logger
"""
args = vars(args)
keys = sorted(args.keys())
t = Texttable()
t.add_rows([[k.replace("_", " ").capitalize(), args[k]] for k in keys])
t.add_rows([["Parameter", "Value"]])
logger.info('\n' + t.draw())
def get_model_name():
"""
Get the model name used for test.
Returns:
The model name
"""
MODEL = input("[Input] Please input the model file you want to test, it should be like (1490175368): ")
while not (MODEL.isdigit() and len(MODEL) == 10):
MODEL = input("[Warning] The format of your input is illegal, "
"it should be like (1490175368), please re-input: ")
return MODEL
def create_prediction_file(save_dir, identifiers, predictions):
"""
Create the prediction file.
Args:
save_dir: The all classes predicted results provided by network
identifiers: The data record id
predictions: The predict scores
"""
if not os.path.exists(save_dir):
os.makedirs(save_dir)
preds_file = os.path.abspath(os.path.join(save_dir, 'submission.json'))
with open(preds_file, 'w') as fout:
tmp_dict = {}
for index, predicted_label in enumerate(predictions):
if identifiers[index] not in tmp_dict:
tmp_dict[identifiers[index]] = [predicted_label]
else:
tmp_dict[identifiers[index]].append(predicted_label)
for key in tmp_dict.keys():
data_record = {
'item_id': key,
'label_list': tmp_dict[key],
}
fout.write(json.dumps(data_record, ensure_ascii=False) + '\n')
def evaluation(true_label, pred_label):
"""
Calculate the PCC & DOA.
Args:
true_label: The true labels
pred_label: The predicted labels
Returns:
The value of PCC & DOA
"""
# compute pcc
pcc, _ = stats.pearsonr(pred_label, true_label)
if math.isnan(pcc):
print('[Error]: PCC=nan', true_label, pred_label)
# compute doa
n = 0
correct_num = 0
for i in range(len(true_label) - 1):
for j in range(i + 1, len(true_label)):
if (true_label[i] > true_label[j]) and (pred_label[i] > pred_label[j]):
correct_num += 1
elif (true_label[i] == true_label[j]) and (pred_label[i] == pred_label[j]):
continue
elif (true_label[i] < true_label[j]) and (pred_label[i] < pred_label[j]):
correct_num += 1
n += 1
if n == 0:
print(true_label)
return -1, -1
doa = correct_num / n
return pcc, doa
def course2vec(course2idx_file):
"""
Return the word2vec model matrix.
Args:
course2idx_file: The course2idx file
Returns:
The word2vec model matrix
Raises:
IOError: If word2vec model file doesn't exist
"""
if not os.path.isfile(course2idx_file):
raise IOError("[Error] The word2vec file doesn't exist. ")
with open(course2idx_file, 'r') as handle:
course2idx = json.load(handle)
course_cnt = len(course2idx)
return course_cnt
def load_data_and_labels(input_file):
if not input_file.endswith('.json'):
raise IOError("[Error] The research data is not a json file. "
"Please preprocess the research data into the json file.")
with open(input_file) as fin:
id_list = []
activity_list = []
timestep_list = []
labels_list = []
for index, eachline in enumerate(fin):
data = json.loads(eachline)
id = data['item_id']
activity = data['activity']
timestep = data['timestep']
labels = data['labels']
id_list.append(id)
activity_list.append(activity)
timestep_list.append(timestep)
labels_list.append(labels)
class _Data:
def __init__(self):
pass
@property
def id(self):
return id_list
@property
def activity(self):
return activity_list
@property
def timestep(self):
return timestep_list
@property
def labels(self):
return labels_list
return _Data()
class MyData(torch.utils.data.Dataset):
"""
定义数据读取迭代器结构
"""
def __init__(self, data_seq, data_tsp, data_label):
self.seqs = data_seq
self.tsp = data_tsp
self.labels = data_label
def __len__(self):
return len(self.seqs)
def __getitem__(self, idx):
return self.seqs[idx], self.tsp[idx], self.labels[idx]
def collate_fn(data):
"""
Version for PyTorch
Args:
data: The research data. 0-dim: word token index / 1-dim: data label
Returns:
pad_content: The padded data
lens: The ground truth lengths
labels: The data labels
"""
data.sort(key=lambda x: len(x[0]), reverse=True)
data_lens = [len(i[0]) for i in data]
data_x = [torch.tensor(i[0]) for i in data]
data_tsp = [i[1] for i in data]
data_y = torch.tensor([i[2] for i in data])
pad_content = rnn_utils.pad_sequence(data_x, batch_first=True, padding_value=0.)
return pad_content.unsqueeze(-1), data_lens, data_tsp, data_y |
py | 1a4a7d1fe73c7cad9e1c68d8deab0991edb558a4 | import tempfile
import pathlib
import os
import shutil
from renamer.search import FileSearcher
class TestFileSearcher:
@classmethod
def setup_class(cls):
cls.file_searcher = FileSearcher()
cls.tmpdir = tempfile.mkdtemp()
cls.file1_path = os.path.join(cls.tmpdir, 'file1.txt')
cls.file2_path = os.path.join(cls.tmpdir, 'tmp', 'file2.txt')
cls.keyword = os.path.join(cls.tmpdir, '**')
os.makedirs(os.path.join(cls.tmpdir, 'tmp'))
pathlib.Path(cls.file1_path).touch()
pathlib.Path(cls.file2_path).touch()
@classmethod
def teardown_class(cls):
shutil.rmtree(cls.tmpdir)
def test_search(self):
result = self.file_searcher.search(self.keyword)
assert result == [self.file1_path]
def test_search_recursive(self):
result = self.file_searcher.search(self.keyword, recursive=True)
assert result == [self.file1_path, self.file2_path]
def test_select_file(self):
test_case = {
'files': [
os.path.join(self.tmpdir, 'file1.txt'),
os.path.join(self.tmpdir, 'tmp')],
'want': [
os.path.join(self.tmpdir, 'file1.txt')]}
result = self.file_searcher._select_file(test_case['files'])
assert result == test_case['want']
|
py | 1a4a7dbfd21402213728a87c80734a203451e3f6 | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/protobuf/unittest.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import service as _service
from google.protobuf import service_reflection
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from google.protobuf import unittest_import_pb2 as google_dot_protobuf_dot_unittest__import__pb2
try:
google_dot_protobuf_dot_unittest__import__public__pb2 = google_dot_protobuf_dot_unittest__import__pb2.google_dot_protobuf_dot_unittest__import__public__pb2
except AttributeError:
google_dot_protobuf_dot_unittest__import__public__pb2 = google_dot_protobuf_dot_unittest__import__pb2.google.protobuf.unittest_import_public_pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='google/protobuf/unittest.proto',
package='protobuf_unittest',
syntax='proto2',
serialized_options=_b('B\rUnittestProtoH\001\200\001\001\210\001\001\220\001\001\370\001\001'),
serialized_pb=_b('\n\x1egoogle/protobuf/unittest.proto\x12\x11protobuf_unittest\x1a%google/protobuf/unittest_import.proto\"\xed\x18\n\x0cTestAllTypes\x12\x16\n\x0eoptional_int32\x18\x01 \x01(\x05\x12\x16\n\x0eoptional_int64\x18\x02 \x01(\x03\x12\x17\n\x0foptional_uint32\x18\x03 \x01(\r\x12\x17\n\x0foptional_uint64\x18\x04 \x01(\x04\x12\x17\n\x0foptional_sint32\x18\x05 \x01(\x11\x12\x17\n\x0foptional_sint64\x18\x06 \x01(\x12\x12\x18\n\x10optional_fixed32\x18\x07 \x01(\x07\x12\x18\n\x10optional_fixed64\x18\x08 \x01(\x06\x12\x19\n\x11optional_sfixed32\x18\t \x01(\x0f\x12\x19\n\x11optional_sfixed64\x18\n \x01(\x10\x12\x16\n\x0eoptional_float\x18\x0b \x01(\x02\x12\x17\n\x0foptional_double\x18\x0c \x01(\x01\x12\x15\n\roptional_bool\x18\r \x01(\x08\x12\x17\n\x0foptional_string\x18\x0e \x01(\t\x12\x16\n\x0eoptional_bytes\x18\x0f \x01(\x0c\x12\x44\n\roptionalgroup\x18\x10 \x01(\n2-.protobuf_unittest.TestAllTypes.OptionalGroup\x12N\n\x17optional_nested_message\x18\x12 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,
dependencies=[google_dot_protobuf_dot_unittest__import__pb2.DESCRIPTOR,])
_FOREIGNENUM = _descriptor.EnumDescriptor(
name='ForeignEnum',
full_name='protobuf_unittest.ForeignEnum',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='FOREIGN_FOO', index=0, number=4,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='FOREIGN_BAR', index=1, number=5,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='FOREIGN_BAZ', index=2, number=6,
serialized_options=None,
type=None),
],
containing_type=None,
serialized_options=None,
serialized_start=15306,
serialized_end=15370,
)
_sym_db.RegisterEnumDescriptor(_FOREIGNENUM)
ForeignEnum = enum_type_wrapper.EnumTypeWrapper(_FOREIGNENUM)
_TESTENUMWITHDUPVALUE = _descriptor.EnumDescriptor(
name='TestEnumWithDupValue',
full_name='protobuf_unittest.TestEnumWithDupValue',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='FOO1', index=0, number=1,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='BAR1', index=1, number=2,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='BAZ', index=2, number=3,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='FOO2', index=3, number=1,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='BAR2', index=4, number=2,
serialized_options=None,
type=None),
],
containing_type=None,
serialized_options=_b('\020\001'),
serialized_start=15372,
serialized_end=15447,
)
_sym_db.RegisterEnumDescriptor(_TESTENUMWITHDUPVALUE)
TestEnumWithDupValue = enum_type_wrapper.EnumTypeWrapper(_TESTENUMWITHDUPVALUE)
_TESTSPARSEENUM = _descriptor.EnumDescriptor(
name='TestSparseEnum',
full_name='protobuf_unittest.TestSparseEnum',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='SPARSE_A', index=0, number=123,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SPARSE_B', index=1, number=62374,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SPARSE_C', index=2, number=12589234,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SPARSE_D', index=3, number=-15,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SPARSE_E', index=4, number=-53452,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SPARSE_F', index=5, number=0,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SPARSE_G', index=6, number=2,
serialized_options=None,
type=None),
],
containing_type=None,
serialized_options=None,
serialized_start=15450,
serialized_end=15587,
)
_sym_db.RegisterEnumDescriptor(_TESTSPARSEENUM)
TestSparseEnum = enum_type_wrapper.EnumTypeWrapper(_TESTSPARSEENUM)
FOREIGN_FOO = 4
FOREIGN_BAR = 5
FOREIGN_BAZ = 6
FOO1 = 1
BAR1 = 2
BAZ = 3
FOO2 = 1
BAR2 = 2
SPARSE_A = 123
SPARSE_B = 62374
SPARSE_C = 12589234
SPARSE_D = -15
SPARSE_E = -53452
SPARSE_F = 0
SPARSE_G = 2
OPTIONAL_INT32_EXTENSION_FIELD_NUMBER = 1
optional_int32_extension = _descriptor.FieldDescriptor(
name='optional_int32_extension', full_name='protobuf_unittest.optional_int32_extension', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_INT64_EXTENSION_FIELD_NUMBER = 2
optional_int64_extension = _descriptor.FieldDescriptor(
name='optional_int64_extension', full_name='protobuf_unittest.optional_int64_extension', index=1,
number=2, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_UINT32_EXTENSION_FIELD_NUMBER = 3
optional_uint32_extension = _descriptor.FieldDescriptor(
name='optional_uint32_extension', full_name='protobuf_unittest.optional_uint32_extension', index=2,
number=3, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_UINT64_EXTENSION_FIELD_NUMBER = 4
optional_uint64_extension = _descriptor.FieldDescriptor(
name='optional_uint64_extension', full_name='protobuf_unittest.optional_uint64_extension', index=3,
number=4, type=4, cpp_type=4, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_SINT32_EXTENSION_FIELD_NUMBER = 5
optional_sint32_extension = _descriptor.FieldDescriptor(
name='optional_sint32_extension', full_name='protobuf_unittest.optional_sint32_extension', index=4,
number=5, type=17, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_SINT64_EXTENSION_FIELD_NUMBER = 6
optional_sint64_extension = _descriptor.FieldDescriptor(
name='optional_sint64_extension', full_name='protobuf_unittest.optional_sint64_extension', index=5,
number=6, type=18, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_FIXED32_EXTENSION_FIELD_NUMBER = 7
optional_fixed32_extension = _descriptor.FieldDescriptor(
name='optional_fixed32_extension', full_name='protobuf_unittest.optional_fixed32_extension', index=6,
number=7, type=7, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_FIXED64_EXTENSION_FIELD_NUMBER = 8
optional_fixed64_extension = _descriptor.FieldDescriptor(
name='optional_fixed64_extension', full_name='protobuf_unittest.optional_fixed64_extension', index=7,
number=8, type=6, cpp_type=4, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_SFIXED32_EXTENSION_FIELD_NUMBER = 9
optional_sfixed32_extension = _descriptor.FieldDescriptor(
name='optional_sfixed32_extension', full_name='protobuf_unittest.optional_sfixed32_extension', index=8,
number=9, type=15, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_SFIXED64_EXTENSION_FIELD_NUMBER = 10
optional_sfixed64_extension = _descriptor.FieldDescriptor(
name='optional_sfixed64_extension', full_name='protobuf_unittest.optional_sfixed64_extension', index=9,
number=10, type=16, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_FLOAT_EXTENSION_FIELD_NUMBER = 11
optional_float_extension = _descriptor.FieldDescriptor(
name='optional_float_extension', full_name='protobuf_unittest.optional_float_extension', index=10,
number=11, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_DOUBLE_EXTENSION_FIELD_NUMBER = 12
optional_double_extension = _descriptor.FieldDescriptor(
name='optional_double_extension', full_name='protobuf_unittest.optional_double_extension', index=11,
number=12, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_BOOL_EXTENSION_FIELD_NUMBER = 13
optional_bool_extension = _descriptor.FieldDescriptor(
name='optional_bool_extension', full_name='protobuf_unittest.optional_bool_extension', index=12,
number=13, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_STRING_EXTENSION_FIELD_NUMBER = 14
optional_string_extension = _descriptor.FieldDescriptor(
name='optional_string_extension', full_name='protobuf_unittest.optional_string_extension', index=13,
number=14, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_BYTES_EXTENSION_FIELD_NUMBER = 15
optional_bytes_extension = _descriptor.FieldDescriptor(
name='optional_bytes_extension', full_name='protobuf_unittest.optional_bytes_extension', index=14,
number=15, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONALGROUP_EXTENSION_FIELD_NUMBER = 16
optionalgroup_extension = _descriptor.FieldDescriptor(
name='optionalgroup_extension', full_name='protobuf_unittest.optionalgroup_extension', index=15,
number=16, type=10, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_NESTED_MESSAGE_EXTENSION_FIELD_NUMBER = 18
optional_nested_message_extension = _descriptor.FieldDescriptor(
name='optional_nested_message_extension', full_name='protobuf_unittest.optional_nested_message_extension', index=16,
number=18, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_FOREIGN_MESSAGE_EXTENSION_FIELD_NUMBER = 19
optional_foreign_message_extension = _descriptor.FieldDescriptor(
name='optional_foreign_message_extension', full_name='protobuf_unittest.optional_foreign_message_extension', index=17,
number=19, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_IMPORT_MESSAGE_EXTENSION_FIELD_NUMBER = 20
optional_import_message_extension = _descriptor.FieldDescriptor(
name='optional_import_message_extension', full_name='protobuf_unittest.optional_import_message_extension', index=18,
number=20, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_NESTED_ENUM_EXTENSION_FIELD_NUMBER = 21
optional_nested_enum_extension = _descriptor.FieldDescriptor(
name='optional_nested_enum_extension', full_name='protobuf_unittest.optional_nested_enum_extension', index=19,
number=21, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_FOREIGN_ENUM_EXTENSION_FIELD_NUMBER = 22
optional_foreign_enum_extension = _descriptor.FieldDescriptor(
name='optional_foreign_enum_extension', full_name='protobuf_unittest.optional_foreign_enum_extension', index=20,
number=22, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=4,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_IMPORT_ENUM_EXTENSION_FIELD_NUMBER = 23
optional_import_enum_extension = _descriptor.FieldDescriptor(
name='optional_import_enum_extension', full_name='protobuf_unittest.optional_import_enum_extension', index=21,
number=23, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=7,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_STRING_PIECE_EXTENSION_FIELD_NUMBER = 24
optional_string_piece_extension = _descriptor.FieldDescriptor(
name='optional_string_piece_extension', full_name='protobuf_unittest.optional_string_piece_extension', index=22,
number=24, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\010\002'), file=DESCRIPTOR)
OPTIONAL_CORD_EXTENSION_FIELD_NUMBER = 25
optional_cord_extension = _descriptor.FieldDescriptor(
name='optional_cord_extension', full_name='protobuf_unittest.optional_cord_extension', index=23,
number=25, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\010\001'), file=DESCRIPTOR)
OPTIONAL_PUBLIC_IMPORT_MESSAGE_EXTENSION_FIELD_NUMBER = 26
optional_public_import_message_extension = _descriptor.FieldDescriptor(
name='optional_public_import_message_extension', full_name='protobuf_unittest.optional_public_import_message_extension', index=24,
number=26, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
OPTIONAL_LAZY_MESSAGE_EXTENSION_FIELD_NUMBER = 27
optional_lazy_message_extension = _descriptor.FieldDescriptor(
name='optional_lazy_message_extension', full_name='protobuf_unittest.optional_lazy_message_extension', index=25,
number=27, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('(\001'), file=DESCRIPTOR)
REPEATED_INT32_EXTENSION_FIELD_NUMBER = 31
repeated_int32_extension = _descriptor.FieldDescriptor(
name='repeated_int32_extension', full_name='protobuf_unittest.repeated_int32_extension', index=26,
number=31, type=5, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_INT64_EXTENSION_FIELD_NUMBER = 32
repeated_int64_extension = _descriptor.FieldDescriptor(
name='repeated_int64_extension', full_name='protobuf_unittest.repeated_int64_extension', index=27,
number=32, type=3, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_UINT32_EXTENSION_FIELD_NUMBER = 33
repeated_uint32_extension = _descriptor.FieldDescriptor(
name='repeated_uint32_extension', full_name='protobuf_unittest.repeated_uint32_extension', index=28,
number=33, type=13, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_UINT64_EXTENSION_FIELD_NUMBER = 34
repeated_uint64_extension = _descriptor.FieldDescriptor(
name='repeated_uint64_extension', full_name='protobuf_unittest.repeated_uint64_extension', index=29,
number=34, type=4, cpp_type=4, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_SINT32_EXTENSION_FIELD_NUMBER = 35
repeated_sint32_extension = _descriptor.FieldDescriptor(
name='repeated_sint32_extension', full_name='protobuf_unittest.repeated_sint32_extension', index=30,
number=35, type=17, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_SINT64_EXTENSION_FIELD_NUMBER = 36
repeated_sint64_extension = _descriptor.FieldDescriptor(
name='repeated_sint64_extension', full_name='protobuf_unittest.repeated_sint64_extension', index=31,
number=36, type=18, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_FIXED32_EXTENSION_FIELD_NUMBER = 37
repeated_fixed32_extension = _descriptor.FieldDescriptor(
name='repeated_fixed32_extension', full_name='protobuf_unittest.repeated_fixed32_extension', index=32,
number=37, type=7, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_FIXED64_EXTENSION_FIELD_NUMBER = 38
repeated_fixed64_extension = _descriptor.FieldDescriptor(
name='repeated_fixed64_extension', full_name='protobuf_unittest.repeated_fixed64_extension', index=33,
number=38, type=6, cpp_type=4, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_SFIXED32_EXTENSION_FIELD_NUMBER = 39
repeated_sfixed32_extension = _descriptor.FieldDescriptor(
name='repeated_sfixed32_extension', full_name='protobuf_unittest.repeated_sfixed32_extension', index=34,
number=39, type=15, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_SFIXED64_EXTENSION_FIELD_NUMBER = 40
repeated_sfixed64_extension = _descriptor.FieldDescriptor(
name='repeated_sfixed64_extension', full_name='protobuf_unittest.repeated_sfixed64_extension', index=35,
number=40, type=16, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_FLOAT_EXTENSION_FIELD_NUMBER = 41
repeated_float_extension = _descriptor.FieldDescriptor(
name='repeated_float_extension', full_name='protobuf_unittest.repeated_float_extension', index=36,
number=41, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_DOUBLE_EXTENSION_FIELD_NUMBER = 42
repeated_double_extension = _descriptor.FieldDescriptor(
name='repeated_double_extension', full_name='protobuf_unittest.repeated_double_extension', index=37,
number=42, type=1, cpp_type=5, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_BOOL_EXTENSION_FIELD_NUMBER = 43
repeated_bool_extension = _descriptor.FieldDescriptor(
name='repeated_bool_extension', full_name='protobuf_unittest.repeated_bool_extension', index=38,
number=43, type=8, cpp_type=7, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_STRING_EXTENSION_FIELD_NUMBER = 44
repeated_string_extension = _descriptor.FieldDescriptor(
name='repeated_string_extension', full_name='protobuf_unittest.repeated_string_extension', index=39,
number=44, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_BYTES_EXTENSION_FIELD_NUMBER = 45
repeated_bytes_extension = _descriptor.FieldDescriptor(
name='repeated_bytes_extension', full_name='protobuf_unittest.repeated_bytes_extension', index=40,
number=45, type=12, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATEDGROUP_EXTENSION_FIELD_NUMBER = 46
repeatedgroup_extension = _descriptor.FieldDescriptor(
name='repeatedgroup_extension', full_name='protobuf_unittest.repeatedgroup_extension', index=41,
number=46, type=10, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_NESTED_MESSAGE_EXTENSION_FIELD_NUMBER = 48
repeated_nested_message_extension = _descriptor.FieldDescriptor(
name='repeated_nested_message_extension', full_name='protobuf_unittest.repeated_nested_message_extension', index=42,
number=48, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_FOREIGN_MESSAGE_EXTENSION_FIELD_NUMBER = 49
repeated_foreign_message_extension = _descriptor.FieldDescriptor(
name='repeated_foreign_message_extension', full_name='protobuf_unittest.repeated_foreign_message_extension', index=43,
number=49, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_IMPORT_MESSAGE_EXTENSION_FIELD_NUMBER = 50
repeated_import_message_extension = _descriptor.FieldDescriptor(
name='repeated_import_message_extension', full_name='protobuf_unittest.repeated_import_message_extension', index=44,
number=50, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_NESTED_ENUM_EXTENSION_FIELD_NUMBER = 51
repeated_nested_enum_extension = _descriptor.FieldDescriptor(
name='repeated_nested_enum_extension', full_name='protobuf_unittest.repeated_nested_enum_extension', index=45,
number=51, type=14, cpp_type=8, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_FOREIGN_ENUM_EXTENSION_FIELD_NUMBER = 52
repeated_foreign_enum_extension = _descriptor.FieldDescriptor(
name='repeated_foreign_enum_extension', full_name='protobuf_unittest.repeated_foreign_enum_extension', index=46,
number=52, type=14, cpp_type=8, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_IMPORT_ENUM_EXTENSION_FIELD_NUMBER = 53
repeated_import_enum_extension = _descriptor.FieldDescriptor(
name='repeated_import_enum_extension', full_name='protobuf_unittest.repeated_import_enum_extension', index=47,
number=53, type=14, cpp_type=8, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
REPEATED_STRING_PIECE_EXTENSION_FIELD_NUMBER = 54
repeated_string_piece_extension = _descriptor.FieldDescriptor(
name='repeated_string_piece_extension', full_name='protobuf_unittest.repeated_string_piece_extension', index=48,
number=54, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\010\002'), file=DESCRIPTOR)
REPEATED_CORD_EXTENSION_FIELD_NUMBER = 55
repeated_cord_extension = _descriptor.FieldDescriptor(
name='repeated_cord_extension', full_name='protobuf_unittest.repeated_cord_extension', index=49,
number=55, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\010\001'), file=DESCRIPTOR)
REPEATED_LAZY_MESSAGE_EXTENSION_FIELD_NUMBER = 57
repeated_lazy_message_extension = _descriptor.FieldDescriptor(
name='repeated_lazy_message_extension', full_name='protobuf_unittest.repeated_lazy_message_extension', index=50,
number=57, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('(\001'), file=DESCRIPTOR)
DEFAULT_INT32_EXTENSION_FIELD_NUMBER = 61
default_int32_extension = _descriptor.FieldDescriptor(
name='default_int32_extension', full_name='protobuf_unittest.default_int32_extension', index=51,
number=61, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=41,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
DEFAULT_INT64_EXTENSION_FIELD_NUMBER = 62
default_int64_extension = _descriptor.FieldDescriptor(
name='default_int64_extension', full_name='protobuf_unittest.default_int64_extension', index=52,
number=62, type=3, cpp_type=2, label=1,
has_default_value=True, default_value=42,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
DEFAULT_UINT32_EXTENSION_FIELD_NUMBER = 63
default_uint32_extension = _descriptor.FieldDescriptor(
name='default_uint32_extension', full_name='protobuf_unittest.default_uint32_extension', index=53,
number=63, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=43,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
DEFAULT_UINT64_EXTENSION_FIELD_NUMBER = 64
default_uint64_extension = _descriptor.FieldDescriptor(
name='default_uint64_extension', full_name='protobuf_unittest.default_uint64_extension', index=54,
number=64, type=4, cpp_type=4, label=1,
has_default_value=True, default_value=44,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
DEFAULT_SINT32_EXTENSION_FIELD_NUMBER = 65
default_sint32_extension = _descriptor.FieldDescriptor(
name='default_sint32_extension', full_name='protobuf_unittest.default_sint32_extension', index=55,
number=65, type=17, cpp_type=1, label=1,
has_default_value=True, default_value=-45,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
DEFAULT_SINT64_EXTENSION_FIELD_NUMBER = 66
default_sint64_extension = _descriptor.FieldDescriptor(
name='default_sint64_extension', full_name='protobuf_unittest.default_sint64_extension', index=56,
number=66, type=18, cpp_type=2, label=1,
has_default_value=True, default_value=46,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
DEFAULT_FIXED32_EXTENSION_FIELD_NUMBER = 67
default_fixed32_extension = _descriptor.FieldDescriptor(
name='default_fixed32_extension', full_name='protobuf_unittest.default_fixed32_extension', index=57,
number=67, type=7, cpp_type=3, label=1,
has_default_value=True, default_value=47,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
DEFAULT_FIXED64_EXTENSION_FIELD_NUMBER = 68
default_fixed64_extension = _descriptor.FieldDescriptor(
name='default_fixed64_extension', full_name='protobuf_unittest.default_fixed64_extension', index=58,
number=68, type=6, cpp_type=4, label=1,
has_default_value=True, default_value=48,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
DEFAULT_SFIXED32_EXTENSION_FIELD_NUMBER = 69
default_sfixed32_extension = _descriptor.FieldDescriptor(
name='default_sfixed32_extension', full_name='protobuf_unittest.default_sfixed32_extension', index=59,
number=69, type=15, cpp_type=1, label=1,
has_default_value=True, default_value=49,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
DEFAULT_SFIXED64_EXTENSION_FIELD_NUMBER = 70
default_sfixed64_extension = _descriptor.FieldDescriptor(
name='default_sfixed64_extension', full_name='protobuf_unittest.default_sfixed64_extension', index=60,
number=70, type=16, cpp_type=2, label=1,
has_default_value=True, default_value=-50,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
DEFAULT_FLOAT_EXTENSION_FIELD_NUMBER = 71
default_float_extension = _descriptor.FieldDescriptor(
name='default_float_extension', full_name='protobuf_unittest.default_float_extension', index=61,
number=71, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(51.5),
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
DEFAULT_DOUBLE_EXTENSION_FIELD_NUMBER = 72
default_double_extension = _descriptor.FieldDescriptor(
name='default_double_extension', full_name='protobuf_unittest.default_double_extension', index=62,
number=72, type=1, cpp_type=5, label=1,
has_default_value=True, default_value=float(52000),
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
DEFAULT_BOOL_EXTENSION_FIELD_NUMBER = 73
default_bool_extension = _descriptor.FieldDescriptor(
name='default_bool_extension', full_name='protobuf_unittest.default_bool_extension', index=63,
number=73, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
DEFAULT_STRING_EXTENSION_FIELD_NUMBER = 74
default_string_extension = _descriptor.FieldDescriptor(
name='default_string_extension', full_name='protobuf_unittest.default_string_extension', index=64,
number=74, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("hello").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
DEFAULT_BYTES_EXTENSION_FIELD_NUMBER = 75
default_bytes_extension = _descriptor.FieldDescriptor(
name='default_bytes_extension', full_name='protobuf_unittest.default_bytes_extension', index=65,
number=75, type=12, cpp_type=9, label=1,
has_default_value=True, default_value=_b("world"),
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
DEFAULT_NESTED_ENUM_EXTENSION_FIELD_NUMBER = 81
default_nested_enum_extension = _descriptor.FieldDescriptor(
name='default_nested_enum_extension', full_name='protobuf_unittest.default_nested_enum_extension', index=66,
number=81, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=2,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
DEFAULT_FOREIGN_ENUM_EXTENSION_FIELD_NUMBER = 82
default_foreign_enum_extension = _descriptor.FieldDescriptor(
name='default_foreign_enum_extension', full_name='protobuf_unittest.default_foreign_enum_extension', index=67,
number=82, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=5,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
DEFAULT_IMPORT_ENUM_EXTENSION_FIELD_NUMBER = 83
default_import_enum_extension = _descriptor.FieldDescriptor(
name='default_import_enum_extension', full_name='protobuf_unittest.default_import_enum_extension', index=68,
number=83, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=8,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
DEFAULT_STRING_PIECE_EXTENSION_FIELD_NUMBER = 84
default_string_piece_extension = _descriptor.FieldDescriptor(
name='default_string_piece_extension', full_name='protobuf_unittest.default_string_piece_extension', index=69,
number=84, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("abc").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\010\002'), file=DESCRIPTOR)
DEFAULT_CORD_EXTENSION_FIELD_NUMBER = 85
default_cord_extension = _descriptor.FieldDescriptor(
name='default_cord_extension', full_name='protobuf_unittest.default_cord_extension', index=70,
number=85, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("123").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\010\001'), file=DESCRIPTOR)
ONEOF_UINT32_EXTENSION_FIELD_NUMBER = 111
oneof_uint32_extension = _descriptor.FieldDescriptor(
name='oneof_uint32_extension', full_name='protobuf_unittest.oneof_uint32_extension', index=71,
number=111, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
ONEOF_NESTED_MESSAGE_EXTENSION_FIELD_NUMBER = 112
oneof_nested_message_extension = _descriptor.FieldDescriptor(
name='oneof_nested_message_extension', full_name='protobuf_unittest.oneof_nested_message_extension', index=72,
number=112, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
ONEOF_STRING_EXTENSION_FIELD_NUMBER = 113
oneof_string_extension = _descriptor.FieldDescriptor(
name='oneof_string_extension', full_name='protobuf_unittest.oneof_string_extension', index=73,
number=113, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
ONEOF_BYTES_EXTENSION_FIELD_NUMBER = 114
oneof_bytes_extension = _descriptor.FieldDescriptor(
name='oneof_bytes_extension', full_name='protobuf_unittest.oneof_bytes_extension', index=74,
number=114, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
MY_EXTENSION_STRING_FIELD_NUMBER = 50
my_extension_string = _descriptor.FieldDescriptor(
name='my_extension_string', full_name='protobuf_unittest.my_extension_string', index=75,
number=50, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
MY_EXTENSION_INT_FIELD_NUMBER = 5
my_extension_int = _descriptor.FieldDescriptor(
name='my_extension_int', full_name='protobuf_unittest.my_extension_int', index=76,
number=5, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
PACKED_INT32_EXTENSION_FIELD_NUMBER = 90
packed_int32_extension = _descriptor.FieldDescriptor(
name='packed_int32_extension', full_name='protobuf_unittest.packed_int32_extension', index=77,
number=90, type=5, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR)
PACKED_INT64_EXTENSION_FIELD_NUMBER = 91
packed_int64_extension = _descriptor.FieldDescriptor(
name='packed_int64_extension', full_name='protobuf_unittest.packed_int64_extension', index=78,
number=91, type=3, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR)
PACKED_UINT32_EXTENSION_FIELD_NUMBER = 92
packed_uint32_extension = _descriptor.FieldDescriptor(
name='packed_uint32_extension', full_name='protobuf_unittest.packed_uint32_extension', index=79,
number=92, type=13, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR)
PACKED_UINT64_EXTENSION_FIELD_NUMBER = 93
packed_uint64_extension = _descriptor.FieldDescriptor(
name='packed_uint64_extension', full_name='protobuf_unittest.packed_uint64_extension', index=80,
number=93, type=4, cpp_type=4, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR)
PACKED_SINT32_EXTENSION_FIELD_NUMBER = 94
packed_sint32_extension = _descriptor.FieldDescriptor(
name='packed_sint32_extension', full_name='protobuf_unittest.packed_sint32_extension', index=81,
number=94, type=17, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR)
PACKED_SINT64_EXTENSION_FIELD_NUMBER = 95
packed_sint64_extension = _descriptor.FieldDescriptor(
name='packed_sint64_extension', full_name='protobuf_unittest.packed_sint64_extension', index=82,
number=95, type=18, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR)
PACKED_FIXED32_EXTENSION_FIELD_NUMBER = 96
packed_fixed32_extension = _descriptor.FieldDescriptor(
name='packed_fixed32_extension', full_name='protobuf_unittest.packed_fixed32_extension', index=83,
number=96, type=7, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR)
PACKED_FIXED64_EXTENSION_FIELD_NUMBER = 97
packed_fixed64_extension = _descriptor.FieldDescriptor(
name='packed_fixed64_extension', full_name='protobuf_unittest.packed_fixed64_extension', index=84,
number=97, type=6, cpp_type=4, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR)
PACKED_SFIXED32_EXTENSION_FIELD_NUMBER = 98
packed_sfixed32_extension = _descriptor.FieldDescriptor(
name='packed_sfixed32_extension', full_name='protobuf_unittest.packed_sfixed32_extension', index=85,
number=98, type=15, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR)
PACKED_SFIXED64_EXTENSION_FIELD_NUMBER = 99
packed_sfixed64_extension = _descriptor.FieldDescriptor(
name='packed_sfixed64_extension', full_name='protobuf_unittest.packed_sfixed64_extension', index=86,
number=99, type=16, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR)
PACKED_FLOAT_EXTENSION_FIELD_NUMBER = 100
packed_float_extension = _descriptor.FieldDescriptor(
name='packed_float_extension', full_name='protobuf_unittest.packed_float_extension', index=87,
number=100, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR)
PACKED_DOUBLE_EXTENSION_FIELD_NUMBER = 101
packed_double_extension = _descriptor.FieldDescriptor(
name='packed_double_extension', full_name='protobuf_unittest.packed_double_extension', index=88,
number=101, type=1, cpp_type=5, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR)
PACKED_BOOL_EXTENSION_FIELD_NUMBER = 102
packed_bool_extension = _descriptor.FieldDescriptor(
name='packed_bool_extension', full_name='protobuf_unittest.packed_bool_extension', index=89,
number=102, type=8, cpp_type=7, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR)
PACKED_ENUM_EXTENSION_FIELD_NUMBER = 103
packed_enum_extension = _descriptor.FieldDescriptor(
name='packed_enum_extension', full_name='protobuf_unittest.packed_enum_extension', index=90,
number=103, type=14, cpp_type=8, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR)
UNPACKED_INT32_EXTENSION_FIELD_NUMBER = 90
unpacked_int32_extension = _descriptor.FieldDescriptor(
name='unpacked_int32_extension', full_name='protobuf_unittest.unpacked_int32_extension', index=91,
number=90, type=5, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR)
UNPACKED_INT64_EXTENSION_FIELD_NUMBER = 91
unpacked_int64_extension = _descriptor.FieldDescriptor(
name='unpacked_int64_extension', full_name='protobuf_unittest.unpacked_int64_extension', index=92,
number=91, type=3, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR)
UNPACKED_UINT32_EXTENSION_FIELD_NUMBER = 92
unpacked_uint32_extension = _descriptor.FieldDescriptor(
name='unpacked_uint32_extension', full_name='protobuf_unittest.unpacked_uint32_extension', index=93,
number=92, type=13, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR)
UNPACKED_UINT64_EXTENSION_FIELD_NUMBER = 93
unpacked_uint64_extension = _descriptor.FieldDescriptor(
name='unpacked_uint64_extension', full_name='protobuf_unittest.unpacked_uint64_extension', index=94,
number=93, type=4, cpp_type=4, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR)
UNPACKED_SINT32_EXTENSION_FIELD_NUMBER = 94
unpacked_sint32_extension = _descriptor.FieldDescriptor(
name='unpacked_sint32_extension', full_name='protobuf_unittest.unpacked_sint32_extension', index=95,
number=94, type=17, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR)
UNPACKED_SINT64_EXTENSION_FIELD_NUMBER = 95
unpacked_sint64_extension = _descriptor.FieldDescriptor(
name='unpacked_sint64_extension', full_name='protobuf_unittest.unpacked_sint64_extension', index=96,
number=95, type=18, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR)
UNPACKED_FIXED32_EXTENSION_FIELD_NUMBER = 96
unpacked_fixed32_extension = _descriptor.FieldDescriptor(
name='unpacked_fixed32_extension', full_name='protobuf_unittest.unpacked_fixed32_extension', index=97,
number=96, type=7, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR)
UNPACKED_FIXED64_EXTENSION_FIELD_NUMBER = 97
unpacked_fixed64_extension = _descriptor.FieldDescriptor(
name='unpacked_fixed64_extension', full_name='protobuf_unittest.unpacked_fixed64_extension', index=98,
number=97, type=6, cpp_type=4, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR)
UNPACKED_SFIXED32_EXTENSION_FIELD_NUMBER = 98
unpacked_sfixed32_extension = _descriptor.FieldDescriptor(
name='unpacked_sfixed32_extension', full_name='protobuf_unittest.unpacked_sfixed32_extension', index=99,
number=98, type=15, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR)
UNPACKED_SFIXED64_EXTENSION_FIELD_NUMBER = 99
unpacked_sfixed64_extension = _descriptor.FieldDescriptor(
name='unpacked_sfixed64_extension', full_name='protobuf_unittest.unpacked_sfixed64_extension', index=100,
number=99, type=16, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR)
UNPACKED_FLOAT_EXTENSION_FIELD_NUMBER = 100
unpacked_float_extension = _descriptor.FieldDescriptor(
name='unpacked_float_extension', full_name='protobuf_unittest.unpacked_float_extension', index=101,
number=100, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR)
UNPACKED_DOUBLE_EXTENSION_FIELD_NUMBER = 101
unpacked_double_extension = _descriptor.FieldDescriptor(
name='unpacked_double_extension', full_name='protobuf_unittest.unpacked_double_extension', index=102,
number=101, type=1, cpp_type=5, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR)
UNPACKED_BOOL_EXTENSION_FIELD_NUMBER = 102
unpacked_bool_extension = _descriptor.FieldDescriptor(
name='unpacked_bool_extension', full_name='protobuf_unittest.unpacked_bool_extension', index=103,
number=102, type=8, cpp_type=7, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR)
UNPACKED_ENUM_EXTENSION_FIELD_NUMBER = 103
unpacked_enum_extension = _descriptor.FieldDescriptor(
name='unpacked_enum_extension', full_name='protobuf_unittest.unpacked_enum_extension', index=104,
number=103, type=14, cpp_type=8, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR)
TEST_ALL_TYPES_FIELD_NUMBER = 536860000
test_all_types = _descriptor.FieldDescriptor(
name='test_all_types', full_name='protobuf_unittest.test_all_types', index=105,
number=536860000, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
TEST_EXTENSION_INSIDE_TABLE_EXTENSION_FIELD_NUMBER = 5
test_extension_inside_table_extension = _descriptor.FieldDescriptor(
name='test_extension_inside_table_extension', full_name='protobuf_unittest.test_extension_inside_table_extension', index=106,
number=5, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR)
_TESTALLTYPES_NESTEDENUM = _descriptor.EnumDescriptor(
name='NestedEnum',
full_name='protobuf_unittest.TestAllTypes.NestedEnum',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='FOO', index=0, number=1,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='BAR', index=1, number=2,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='BAZ', index=2, number=3,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NEG', index=3, number=-1,
serialized_options=None,
type=None),
],
containing_type=None,
serialized_options=None,
serialized_start=3202,
serialized_end=3259,
)
_sym_db.RegisterEnumDescriptor(_TESTALLTYPES_NESTEDENUM)
_TESTONEOF2_NESTEDENUM = _descriptor.EnumDescriptor(
name='NestedEnum',
full_name='protobuf_unittest.TestOneof2.NestedEnum',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='FOO', index=0, number=1,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='BAR', index=1, number=2,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='BAZ', index=2, number=3,
serialized_options=None,
type=None),
],
containing_type=None,
serialized_options=None,
serialized_start=3202,
serialized_end=3241,
)
_sym_db.RegisterEnumDescriptor(_TESTONEOF2_NESTEDENUM)
_TESTDYNAMICEXTENSIONS_DYNAMICENUMTYPE = _descriptor.EnumDescriptor(
name='DynamicEnumType',
full_name='protobuf_unittest.TestDynamicExtensions.DynamicEnumType',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='DYNAMIC_FOO', index=0, number=2200,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='DYNAMIC_BAR', index=1, number=2201,
serialized_options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='DYNAMIC_BAZ', index=2, number=2202,
serialized_options=None,
type=None),
],
containing_type=None,
serialized_options=None,
serialized_start=12499,
serialized_end=12570,
)
_sym_db.RegisterEnumDescriptor(_TESTDYNAMICEXTENSIONS_DYNAMICENUMTYPE)
_TESTALLTYPES_NESTEDMESSAGE = _descriptor.Descriptor(
name='NestedMessage',
full_name='protobuf_unittest.TestAllTypes.NestedMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
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file=DESCRIPTOR,
containing_type=None,
fields=[
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serialized_options=None, file=DESCRIPTOR),
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extensions=[
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enum_types=[
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syntax='proto2',
extension_ranges=[],
oneofs=[
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serialized_start=3146,
serialized_end=3172,
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file=DESCRIPTOR,
containing_type=None,
fields=[
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message_type=None, enum_type=None, containing_type=None,
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serialized_options=None, file=DESCRIPTOR),
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extensions=[
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enum_types=[
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syntax='proto2',
extension_ranges=[],
oneofs=[
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serialized_start=3174,
serialized_end=3200,
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file=DESCRIPTOR,
containing_type=None,
fields=[
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has_default_value=True, default_value=47,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='default_fixed64', full_name='protobuf_unittest.TestAllTypes.default_fixed64', index=58,
number=68, type=6, cpp_type=4, label=1,
has_default_value=True, default_value=48,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='default_sfixed32', full_name='protobuf_unittest.TestAllTypes.default_sfixed32', index=59,
number=69, type=15, cpp_type=1, label=1,
has_default_value=True, default_value=49,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='default_sfixed64', full_name='protobuf_unittest.TestAllTypes.default_sfixed64', index=60,
number=70, type=16, cpp_type=2, label=1,
has_default_value=True, default_value=-50,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='default_float', full_name='protobuf_unittest.TestAllTypes.default_float', index=61,
number=71, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(51.5),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='default_double', full_name='protobuf_unittest.TestAllTypes.default_double', index=62,
number=72, type=1, cpp_type=5, label=1,
has_default_value=True, default_value=float(52000),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='default_bool', full_name='protobuf_unittest.TestAllTypes.default_bool', index=63,
number=73, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='default_string', full_name='protobuf_unittest.TestAllTypes.default_string', index=64,
number=74, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("hello").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='default_bytes', full_name='protobuf_unittest.TestAllTypes.default_bytes', index=65,
number=75, type=12, cpp_type=9, label=1,
has_default_value=True, default_value=_b("world"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='default_nested_enum', full_name='protobuf_unittest.TestAllTypes.default_nested_enum', index=66,
number=81, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=2,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='default_foreign_enum', full_name='protobuf_unittest.TestAllTypes.default_foreign_enum', index=67,
number=82, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=5,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='default_import_enum', full_name='protobuf_unittest.TestAllTypes.default_import_enum', index=68,
number=83, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=8,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='default_string_piece', full_name='protobuf_unittest.TestAllTypes.default_string_piece', index=69,
number=84, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("abc").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\010\002'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='default_cord', full_name='protobuf_unittest.TestAllTypes.default_cord', index=70,
number=85, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("123").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\010\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='oneof_uint32', full_name='protobuf_unittest.TestAllTypes.oneof_uint32', index=71,
number=111, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='oneof_nested_message', full_name='protobuf_unittest.TestAllTypes.oneof_nested_message', index=72,
number=112, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='oneof_string', full_name='protobuf_unittest.TestAllTypes.oneof_string', index=73,
number=113, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='oneof_bytes', full_name='protobuf_unittest.TestAllTypes.oneof_bytes', index=74,
number=114, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_TESTALLTYPES_NESTEDMESSAGE, _TESTALLTYPES_OPTIONALGROUP, _TESTALLTYPES_REPEATEDGROUP, ],
enum_types=[
_TESTALLTYPES_NESTEDENUM,
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='oneof_field', full_name='protobuf_unittest.TestAllTypes.oneof_field',
index=0, containing_type=None, fields=[]),
],
serialized_start=93,
serialized_end=3274,
)
_NESTEDTESTALLTYPES = _descriptor.Descriptor(
name='NestedTestAllTypes',
full_name='protobuf_unittest.NestedTestAllTypes',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='child', full_name='protobuf_unittest.NestedTestAllTypes.child', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='payload', full_name='protobuf_unittest.NestedTestAllTypes.payload', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_child', full_name='protobuf_unittest.NestedTestAllTypes.repeated_child', index=2,
number=3, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3277,
serialized_end=3464,
)
_TESTDEPRECATEDFIELDS = _descriptor.Descriptor(
name='TestDeprecatedFields',
full_name='protobuf_unittest.TestDeprecatedFields',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='deprecated_int32', full_name='protobuf_unittest.TestDeprecatedFields.deprecated_int32', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\030\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='deprecated_int32_in_oneof', full_name='protobuf_unittest.TestDeprecatedFields.deprecated_int32_in_oneof', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\030\001'), file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='oneof_fields', full_name='protobuf_unittest.TestDeprecatedFields.oneof_fields',
index=0, containing_type=None, fields=[]),
],
serialized_start=3466,
serialized_end=3575,
)
_TESTDEPRECATEDMESSAGE = _descriptor.Descriptor(
name='TestDeprecatedMessage',
full_name='protobuf_unittest.TestDeprecatedMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=_b('\030\001'),
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3577,
serialized_end=3604,
)
_FOREIGNMESSAGE = _descriptor.Descriptor(
name='ForeignMessage',
full_name='protobuf_unittest.ForeignMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='c', full_name='protobuf_unittest.ForeignMessage.c', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='d', full_name='protobuf_unittest.ForeignMessage.d', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3606,
serialized_end=3644,
)
_TESTRESERVEDFIELDS = _descriptor.Descriptor(
name='TestReservedFields',
full_name='protobuf_unittest.TestReservedFields',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3646,
serialized_end=3694,
)
_TESTALLEXTENSIONS = _descriptor.Descriptor(
name='TestAllExtensions',
full_name='protobuf_unittest.TestAllExtensions',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=True,
syntax='proto2',
extension_ranges=[(1, 536870912), ],
oneofs=[
],
serialized_start=3696,
serialized_end=3725,
)
_OPTIONALGROUP_EXTENSION = _descriptor.Descriptor(
name='OptionalGroup_extension',
full_name='protobuf_unittest.OptionalGroup_extension',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='a', full_name='protobuf_unittest.OptionalGroup_extension.a', index=0,
number=17, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3727,
serialized_end=3763,
)
_REPEATEDGROUP_EXTENSION = _descriptor.Descriptor(
name='RepeatedGroup_extension',
full_name='protobuf_unittest.RepeatedGroup_extension',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='a', full_name='protobuf_unittest.RepeatedGroup_extension.a', index=0,
number=47, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3765,
serialized_end=3801,
)
_TESTGROUP_OPTIONALGROUP = _descriptor.Descriptor(
name='OptionalGroup',
full_name='protobuf_unittest.TestGroup.OptionalGroup',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='a', full_name='protobuf_unittest.TestGroup.OptionalGroup.a', index=0,
number=17, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3146,
serialized_end=3172,
)
_TESTGROUP = _descriptor.Descriptor(
name='TestGroup',
full_name='protobuf_unittest.TestGroup',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='optionalgroup', full_name='protobuf_unittest.TestGroup.optionalgroup', index=0,
number=16, type=10, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='optional_foreign_enum', full_name='protobuf_unittest.TestGroup.optional_foreign_enum', index=1,
number=22, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=4,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_TESTGROUP_OPTIONALGROUP, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3804,
serialized_end=3973,
)
_TESTGROUPEXTENSION = _descriptor.Descriptor(
name='TestGroupExtension',
full_name='protobuf_unittest.TestGroupExtension',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=True,
syntax='proto2',
extension_ranges=[(1, 536870912), ],
oneofs=[
],
serialized_start=3975,
serialized_end=4005,
)
_TESTNESTEDEXTENSION_OPTIONALGROUP_EXTENSION = _descriptor.Descriptor(
name='OptionalGroup_extension',
full_name='protobuf_unittest.TestNestedExtension.OptionalGroup_extension',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='a', full_name='protobuf_unittest.TestNestedExtension.OptionalGroup_extension.a', index=0,
number=17, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3727,
serialized_end=3763,
)
_TESTNESTEDEXTENSION = _descriptor.Descriptor(
name='TestNestedExtension',
full_name='protobuf_unittest.TestNestedExtension',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
_descriptor.FieldDescriptor(
name='test', full_name='protobuf_unittest.TestNestedExtension.test', index=0,
number=1002, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("test").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='nested_string_extension', full_name='protobuf_unittest.TestNestedExtension.nested_string_extension', index=1,
number=1003, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='optionalgroup_extension', full_name='protobuf_unittest.TestNestedExtension.optionalgroup_extension', index=2,
number=16, type=10, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='optional_foreign_enum_extension', full_name='protobuf_unittest.TestNestedExtension.optional_foreign_enum_extension', index=3,
number=22, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=4,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_TESTNESTEDEXTENSION_OPTIONALGROUP_EXTENSION, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=4008,
serialized_end=4447,
)
_TESTREQUIRED = _descriptor.Descriptor(
name='TestRequired',
full_name='protobuf_unittest.TestRequired',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='a', full_name='protobuf_unittest.TestRequired.a', index=0,
number=1, type=5, cpp_type=1, label=2,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy2', full_name='protobuf_unittest.TestRequired.dummy2', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='b', full_name='protobuf_unittest.TestRequired.b', index=2,
number=3, type=5, cpp_type=1, label=2,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy4', full_name='protobuf_unittest.TestRequired.dummy4', index=3,
number=4, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy5', full_name='protobuf_unittest.TestRequired.dummy5', index=4,
number=5, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy6', full_name='protobuf_unittest.TestRequired.dummy6', index=5,
number=6, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy7', full_name='protobuf_unittest.TestRequired.dummy7', index=6,
number=7, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy8', full_name='protobuf_unittest.TestRequired.dummy8', index=7,
number=8, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy9', full_name='protobuf_unittest.TestRequired.dummy9', index=8,
number=9, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy10', full_name='protobuf_unittest.TestRequired.dummy10', index=9,
number=10, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy11', full_name='protobuf_unittest.TestRequired.dummy11', index=10,
number=11, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy12', full_name='protobuf_unittest.TestRequired.dummy12', index=11,
number=12, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy13', full_name='protobuf_unittest.TestRequired.dummy13', index=12,
number=13, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy14', full_name='protobuf_unittest.TestRequired.dummy14', index=13,
number=14, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy15', full_name='protobuf_unittest.TestRequired.dummy15', index=14,
number=15, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy16', full_name='protobuf_unittest.TestRequired.dummy16', index=15,
number=16, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy17', full_name='protobuf_unittest.TestRequired.dummy17', index=16,
number=17, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy18', full_name='protobuf_unittest.TestRequired.dummy18', index=17,
number=18, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy19', full_name='protobuf_unittest.TestRequired.dummy19', index=18,
number=19, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy20', full_name='protobuf_unittest.TestRequired.dummy20', index=19,
number=20, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy21', full_name='protobuf_unittest.TestRequired.dummy21', index=20,
number=21, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy22', full_name='protobuf_unittest.TestRequired.dummy22', index=21,
number=22, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy23', full_name='protobuf_unittest.TestRequired.dummy23', index=22,
number=23, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy24', full_name='protobuf_unittest.TestRequired.dummy24', index=23,
number=24, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy25', full_name='protobuf_unittest.TestRequired.dummy25', index=24,
number=25, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy26', full_name='protobuf_unittest.TestRequired.dummy26', index=25,
number=26, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy27', full_name='protobuf_unittest.TestRequired.dummy27', index=26,
number=27, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy28', full_name='protobuf_unittest.TestRequired.dummy28', index=27,
number=28, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy29', full_name='protobuf_unittest.TestRequired.dummy29', index=28,
number=29, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy30', full_name='protobuf_unittest.TestRequired.dummy30', index=29,
number=30, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy31', full_name='protobuf_unittest.TestRequired.dummy31', index=30,
number=31, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy32', full_name='protobuf_unittest.TestRequired.dummy32', index=31,
number=32, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='c', full_name='protobuf_unittest.TestRequired.c', index=32,
number=33, type=5, cpp_type=1, label=2,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='single', full_name='protobuf_unittest.TestRequired.single', index=0,
number=1000, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='multi', full_name='protobuf_unittest.TestRequired.multi', index=1,
number=1001, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=4450,
serialized_end=5175,
)
_TESTREQUIREDFOREIGN = _descriptor.Descriptor(
name='TestRequiredForeign',
full_name='protobuf_unittest.TestRequiredForeign',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='optional_message', full_name='protobuf_unittest.TestRequiredForeign.optional_message', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_message', full_name='protobuf_unittest.TestRequiredForeign.repeated_message', index=1,
number=2, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dummy', full_name='protobuf_unittest.TestRequiredForeign.dummy', index=2,
number=3, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=5178,
serialized_end=5332,
)
_TESTREQUIREDMESSAGE = _descriptor.Descriptor(
name='TestRequiredMessage',
full_name='protobuf_unittest.TestRequiredMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='optional_message', full_name='protobuf_unittest.TestRequiredMessage.optional_message', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_message', full_name='protobuf_unittest.TestRequiredMessage.repeated_message', index=1,
number=2, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='required_message', full_name='protobuf_unittest.TestRequiredMessage.required_message', index=2,
number=3, type=11, cpp_type=10, label=2,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=5335,
serialized_end=5533,
)
_TESTFOREIGNNESTED = _descriptor.Descriptor(
name='TestForeignNested',
full_name='protobuf_unittest.TestForeignNested',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='foreign_nested', full_name='protobuf_unittest.TestForeignNested.foreign_nested', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=5535,
serialized_end=5625,
)
_TESTEMPTYMESSAGE = _descriptor.Descriptor(
name='TestEmptyMessage',
full_name='protobuf_unittest.TestEmptyMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=5627,
serialized_end=5645,
)
_TESTEMPTYMESSAGEWITHEXTENSIONS = _descriptor.Descriptor(
name='TestEmptyMessageWithExtensions',
full_name='protobuf_unittest.TestEmptyMessageWithExtensions',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=True,
syntax='proto2',
extension_ranges=[(1, 536870912), ],
oneofs=[
],
serialized_start=5647,
serialized_end=5689,
)
_TESTMULTIPLEEXTENSIONRANGES = _descriptor.Descriptor(
name='TestMultipleExtensionRanges',
full_name='protobuf_unittest.TestMultipleExtensionRanges',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=True,
syntax='proto2',
extension_ranges=[(42, 43), (4143, 4244), (65536, 536870912), ],
oneofs=[
],
serialized_start=5691,
serialized_end=5746,
)
_TESTREALLYLARGETAGNUMBER = _descriptor.Descriptor(
name='TestReallyLargeTagNumber',
full_name='protobuf_unittest.TestReallyLargeTagNumber',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='a', full_name='protobuf_unittest.TestReallyLargeTagNumber.a', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bb', full_name='protobuf_unittest.TestReallyLargeTagNumber.bb', index=1,
number=268435455, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=5748,
serialized_end=5800,
)
_TESTRECURSIVEMESSAGE = _descriptor.Descriptor(
name='TestRecursiveMessage',
full_name='protobuf_unittest.TestRecursiveMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='a', full_name='protobuf_unittest.TestRecursiveMessage.a', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='i', full_name='protobuf_unittest.TestRecursiveMessage.i', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=5802,
serialized_end=5887,
)
_TESTMUTUALRECURSIONA_SUBMESSAGE = _descriptor.Descriptor(
name='SubMessage',
full_name='protobuf_unittest.TestMutualRecursionA.SubMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='b', full_name='protobuf_unittest.TestMutualRecursionA.SubMessage.b', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=6035,
serialized_end=6099,
)
_TESTMUTUALRECURSIONA_SUBGROUP = _descriptor.Descriptor(
name='SubGroup',
full_name='protobuf_unittest.TestMutualRecursionA.SubGroup',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='sub_message', full_name='protobuf_unittest.TestMutualRecursionA.SubGroup.sub_message', index=0,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='not_in_this_scc', full_name='protobuf_unittest.TestMutualRecursionA.SubGroup.not_in_this_scc', index=1,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=6102,
serialized_end=6243,
)
_TESTMUTUALRECURSIONA = _descriptor.Descriptor(
name='TestMutualRecursionA',
full_name='protobuf_unittest.TestMutualRecursionA',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='bb', full_name='protobuf_unittest.TestMutualRecursionA.bb', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='subgroup', full_name='protobuf_unittest.TestMutualRecursionA.subgroup', index=1,
number=2, type=10, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_TESTMUTUALRECURSIONA_SUBMESSAGE, _TESTMUTUALRECURSIONA_SUBGROUP, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=5890,
serialized_end=6243,
)
_TESTMUTUALRECURSIONB = _descriptor.Descriptor(
name='TestMutualRecursionB',
full_name='protobuf_unittest.TestMutualRecursionB',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='a', full_name='protobuf_unittest.TestMutualRecursionB.a', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='optional_int32', full_name='protobuf_unittest.TestMutualRecursionB.optional_int32', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=6245,
serialized_end=6343,
)
_TESTISINITIALIZED_SUBMESSAGE_SUBGROUP = _descriptor.Descriptor(
name='SubGroup',
full_name='protobuf_unittest.TestIsInitialized.SubMessage.SubGroup',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='i', full_name='protobuf_unittest.TestIsInitialized.SubMessage.SubGroup.i', index=0,
number=2, type=5, cpp_type=1, label=2,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=6527,
serialized_end=6548,
)
_TESTISINITIALIZED_SUBMESSAGE = _descriptor.Descriptor(
name='SubMessage',
full_name='protobuf_unittest.TestIsInitialized.SubMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='subgroup', full_name='protobuf_unittest.TestIsInitialized.SubMessage.subgroup', index=0,
number=1, type=10, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_TESTISINITIALIZED_SUBMESSAGE_SUBGROUP, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=6437,
serialized_end=6548,
)
_TESTISINITIALIZED = _descriptor.Descriptor(
name='TestIsInitialized',
full_name='protobuf_unittest.TestIsInitialized',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='sub_message', full_name='protobuf_unittest.TestIsInitialized.sub_message', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_TESTISINITIALIZED_SUBMESSAGE, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=6346,
serialized_end=6548,
)
_TESTDUPFIELDNUMBER_FOO = _descriptor.Descriptor(
name='Foo',
full_name='protobuf_unittest.TestDupFieldNumber.Foo',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='a', full_name='protobuf_unittest.TestDupFieldNumber.Foo.a', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=6696,
serialized_end=6712,
)
_TESTDUPFIELDNUMBER_BAR = _descriptor.Descriptor(
name='Bar',
full_name='protobuf_unittest.TestDupFieldNumber.Bar',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='a', full_name='protobuf_unittest.TestDupFieldNumber.Bar.a', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=6714,
serialized_end=6730,
)
_TESTDUPFIELDNUMBER = _descriptor.Descriptor(
name='TestDupFieldNumber',
full_name='protobuf_unittest.TestDupFieldNumber',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='a', full_name='protobuf_unittest.TestDupFieldNumber.a', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='foo', full_name='protobuf_unittest.TestDupFieldNumber.foo', index=1,
number=2, type=10, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bar', full_name='protobuf_unittest.TestDupFieldNumber.bar', index=2,
number=3, type=10, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_TESTDUPFIELDNUMBER_FOO, _TESTDUPFIELDNUMBER_BAR, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=6551,
serialized_end=6730,
)
_TESTEAGERMESSAGE = _descriptor.Descriptor(
name='TestEagerMessage',
full_name='protobuf_unittest.TestEagerMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='sub_message', full_name='protobuf_unittest.TestEagerMessage.sub_message', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('(\000'), file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=6732,
serialized_end=6808,
)
_TESTLAZYMESSAGE = _descriptor.Descriptor(
name='TestLazyMessage',
full_name='protobuf_unittest.TestLazyMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='sub_message', full_name='protobuf_unittest.TestLazyMessage.sub_message', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('(\001'), file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=6810,
serialized_end=6885,
)
_TESTNESTEDMESSAGEHASBITS_NESTEDMESSAGE = _descriptor.Descriptor(
name='NestedMessage',
full_name='protobuf_unittest.TestNestedMessageHasBits.NestedMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='nestedmessage_repeated_int32', full_name='protobuf_unittest.TestNestedMessageHasBits.NestedMessage.nestedmessage_repeated_int32', index=0,
number=1, type=5, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='nestedmessage_repeated_foreignmessage', full_name='protobuf_unittest.TestNestedMessageHasBits.NestedMessage.nestedmessage_repeated_foreignmessage', index=1,
number=2, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7009,
serialized_end=7144,
)
_TESTNESTEDMESSAGEHASBITS = _descriptor.Descriptor(
name='TestNestedMessageHasBits',
full_name='protobuf_unittest.TestNestedMessageHasBits',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='optional_nested_message', full_name='protobuf_unittest.TestNestedMessageHasBits.optional_nested_message', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_TESTNESTEDMESSAGEHASBITS_NESTEDMESSAGE, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=6888,
serialized_end=7144,
)
_TESTCAMELCASEFIELDNAMES = _descriptor.Descriptor(
name='TestCamelCaseFieldNames',
full_name='protobuf_unittest.TestCamelCaseFieldNames',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='PrimitiveField', full_name='protobuf_unittest.TestCamelCaseFieldNames.PrimitiveField', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='StringField', full_name='protobuf_unittest.TestCamelCaseFieldNames.StringField', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='EnumField', full_name='protobuf_unittest.TestCamelCaseFieldNames.EnumField', index=2,
number=3, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=4,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='MessageField', full_name='protobuf_unittest.TestCamelCaseFieldNames.MessageField', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='StringPieceField', full_name='protobuf_unittest.TestCamelCaseFieldNames.StringPieceField', index=4,
number=5, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\010\002'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='CordField', full_name='protobuf_unittest.TestCamelCaseFieldNames.CordField', index=5,
number=6, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\010\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='RepeatedPrimitiveField', full_name='protobuf_unittest.TestCamelCaseFieldNames.RepeatedPrimitiveField', index=6,
number=7, type=5, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='RepeatedStringField', full_name='protobuf_unittest.TestCamelCaseFieldNames.RepeatedStringField', index=7,
number=8, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='RepeatedEnumField', full_name='protobuf_unittest.TestCamelCaseFieldNames.RepeatedEnumField', index=8,
number=9, type=14, cpp_type=8, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='RepeatedMessageField', full_name='protobuf_unittest.TestCamelCaseFieldNames.RepeatedMessageField', index=9,
number=10, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='RepeatedStringPieceField', full_name='protobuf_unittest.TestCamelCaseFieldNames.RepeatedStringPieceField', index=10,
number=11, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\010\002'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='RepeatedCordField', full_name='protobuf_unittest.TestCamelCaseFieldNames.RepeatedCordField', index=11,
number=12, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\010\001'), file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7147,
serialized_end=7632,
)
_TESTFIELDORDERINGS_NESTEDMESSAGE = _descriptor.Descriptor(
name='NestedMessage',
full_name='protobuf_unittest.TestFieldOrderings.NestedMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='oo', full_name='protobuf_unittest.TestFieldOrderings.NestedMessage.oo', index=0,
number=2, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bb', full_name='protobuf_unittest.TestFieldOrderings.NestedMessage.bb', index=1,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7797,
serialized_end=7836,
)
_TESTFIELDORDERINGS = _descriptor.Descriptor(
name='TestFieldOrderings',
full_name='protobuf_unittest.TestFieldOrderings',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='my_string', full_name='protobuf_unittest.TestFieldOrderings.my_string', index=0,
number=11, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='my_int', full_name='protobuf_unittest.TestFieldOrderings.my_int', index=1,
number=1, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='my_float', full_name='protobuf_unittest.TestFieldOrderings.my_float', index=2,
number=101, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='optional_nested_message', full_name='protobuf_unittest.TestFieldOrderings.optional_nested_message', index=3,
number=200, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_TESTFIELDORDERINGS_NESTEDMESSAGE, ],
enum_types=[
],
serialized_options=None,
is_extendable=True,
syntax='proto2',
extension_ranges=[(2, 11), (12, 101), ],
oneofs=[
],
serialized_start=7635,
serialized_end=7848,
)
_TESTEXTENSIONORDERINGS1 = _descriptor.Descriptor(
name='TestExtensionOrderings1',
full_name='protobuf_unittest.TestExtensionOrderings1',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='my_string', full_name='protobuf_unittest.TestExtensionOrderings1.my_string', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='test_ext_orderings1', full_name='protobuf_unittest.TestExtensionOrderings1.test_ext_orderings1', index=0,
number=13, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7851,
serialized_end=8007,
)
_TESTEXTENSIONORDERINGS2_TESTEXTENSIONORDERINGS3 = _descriptor.Descriptor(
name='TestExtensionOrderings3',
full_name='protobuf_unittest.TestExtensionOrderings2.TestExtensionOrderings3',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='my_string', full_name='protobuf_unittest.TestExtensionOrderings2.TestExtensionOrderings3.my_string', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='test_ext_orderings3', full_name='protobuf_unittest.TestExtensionOrderings2.TestExtensionOrderings3.test_ext_orderings3', index=0,
number=14, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=8057,
serialized_end=8238,
)
_TESTEXTENSIONORDERINGS2 = _descriptor.Descriptor(
name='TestExtensionOrderings2',
full_name='protobuf_unittest.TestExtensionOrderings2',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='my_string', full_name='protobuf_unittest.TestExtensionOrderings2.my_string', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='test_ext_orderings2', full_name='protobuf_unittest.TestExtensionOrderings2.test_ext_orderings2', index=0,
number=12, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_TESTEXTENSIONORDERINGS2_TESTEXTENSIONORDERINGS3, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=8010,
serialized_end=8350,
)
_TESTEXTREMEDEFAULTVALUES = _descriptor.Descriptor(
name='TestExtremeDefaultValues',
full_name='protobuf_unittest.TestExtremeDefaultValues',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='escaped_bytes', full_name='protobuf_unittest.TestExtremeDefaultValues.escaped_bytes', index=0,
number=1, type=12, cpp_type=9, label=1,
has_default_value=True, default_value=_b("\000\001\007\010\014\n\r\t\013\\\'\"\376"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='large_uint32', full_name='protobuf_unittest.TestExtremeDefaultValues.large_uint32', index=1,
number=2, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=4294967295,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='large_uint64', full_name='protobuf_unittest.TestExtremeDefaultValues.large_uint64', index=2,
number=3, type=4, cpp_type=4, label=1,
has_default_value=True, default_value=18446744073709551615,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='small_int32', full_name='protobuf_unittest.TestExtremeDefaultValues.small_int32', index=3,
number=4, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=-2147483647,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='small_int64', full_name='protobuf_unittest.TestExtremeDefaultValues.small_int64', index=4,
number=5, type=3, cpp_type=2, label=1,
has_default_value=True, default_value=-9223372036854775807,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='really_small_int32', full_name='protobuf_unittest.TestExtremeDefaultValues.really_small_int32', index=5,
number=21, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=-2147483648,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='really_small_int64', full_name='protobuf_unittest.TestExtremeDefaultValues.really_small_int64', index=6,
number=22, type=3, cpp_type=2, label=1,
has_default_value=True, default_value=-9223372036854775808,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='utf8_string', full_name='protobuf_unittest.TestExtremeDefaultValues.utf8_string', index=7,
number=6, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("\341\210\264").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='zero_float', full_name='protobuf_unittest.TestExtremeDefaultValues.zero_float', index=8,
number=7, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='one_float', full_name='protobuf_unittest.TestExtremeDefaultValues.one_float', index=9,
number=8, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='small_float', full_name='protobuf_unittest.TestExtremeDefaultValues.small_float', index=10,
number=9, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1.5),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='negative_one_float', full_name='protobuf_unittest.TestExtremeDefaultValues.negative_one_float', index=11,
number=10, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(-1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='negative_float', full_name='protobuf_unittest.TestExtremeDefaultValues.negative_float', index=12,
number=11, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(-1.5),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='large_float', full_name='protobuf_unittest.TestExtremeDefaultValues.large_float', index=13,
number=12, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(2e+08),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='small_negative_float', full_name='protobuf_unittest.TestExtremeDefaultValues.small_negative_float', index=14,
number=13, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(-8e-28),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='inf_double', full_name='protobuf_unittest.TestExtremeDefaultValues.inf_double', index=15,
number=14, type=1, cpp_type=5, label=1,
has_default_value=True, default_value=1e10000,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='neg_inf_double', full_name='protobuf_unittest.TestExtremeDefaultValues.neg_inf_double', index=16,
number=15, type=1, cpp_type=5, label=1,
has_default_value=True, default_value=-1e10000,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='nan_double', full_name='protobuf_unittest.TestExtremeDefaultValues.nan_double', index=17,
number=16, type=1, cpp_type=5, label=1,
has_default_value=True, default_value=(1e10000 * 0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='inf_float', full_name='protobuf_unittest.TestExtremeDefaultValues.inf_float', index=18,
number=17, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1e10000,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='neg_inf_float', full_name='protobuf_unittest.TestExtremeDefaultValues.neg_inf_float', index=19,
number=18, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=-1e10000,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='nan_float', full_name='protobuf_unittest.TestExtremeDefaultValues.nan_float', index=20,
number=19, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=(1e10000 * 0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='cpp_trigraph', full_name='protobuf_unittest.TestExtremeDefaultValues.cpp_trigraph', index=21,
number=20, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("? ? ?? ?? ??? ??/ ??-").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='string_with_zero', full_name='protobuf_unittest.TestExtremeDefaultValues.string_with_zero', index=22,
number=23, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("hel\000lo").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bytes_with_zero', full_name='protobuf_unittest.TestExtremeDefaultValues.bytes_with_zero', index=23,
number=24, type=12, cpp_type=9, label=1,
has_default_value=True, default_value=_b("wor\000ld"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='string_piece_with_zero', full_name='protobuf_unittest.TestExtremeDefaultValues.string_piece_with_zero', index=24,
number=25, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("ab\000c").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\010\002'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='cord_with_zero', full_name='protobuf_unittest.TestExtremeDefaultValues.cord_with_zero', index=25,
number=26, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("12\0003").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\010\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='replacement_string', full_name='protobuf_unittest.TestExtremeDefaultValues.replacement_string', index=26,
number=27, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("${unknown}").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=8353,
serialized_end=9303,
)
_SPARSEENUMMESSAGE = _descriptor.Descriptor(
name='SparseEnumMessage',
full_name='protobuf_unittest.SparseEnumMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='sparse_enum', full_name='protobuf_unittest.SparseEnumMessage.sparse_enum', index=0,
number=1, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=123,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=9305,
serialized_end=9380,
)
_ONESTRING = _descriptor.Descriptor(
name='OneString',
full_name='protobuf_unittest.OneString',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='protobuf_unittest.OneString.data', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=9382,
serialized_end=9407,
)
_MORESTRING = _descriptor.Descriptor(
name='MoreString',
full_name='protobuf_unittest.MoreString',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='protobuf_unittest.MoreString.data', index=0,
number=1, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=9409,
serialized_end=9435,
)
_ONEBYTES = _descriptor.Descriptor(
name='OneBytes',
full_name='protobuf_unittest.OneBytes',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='protobuf_unittest.OneBytes.data', index=0,
number=1, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=9437,
serialized_end=9461,
)
_MOREBYTES = _descriptor.Descriptor(
name='MoreBytes',
full_name='protobuf_unittest.MoreBytes',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='protobuf_unittest.MoreBytes.data', index=0,
number=1, type=12, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=9463,
serialized_end=9488,
)
_INT32MESSAGE = _descriptor.Descriptor(
name='Int32Message',
full_name='protobuf_unittest.Int32Message',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='protobuf_unittest.Int32Message.data', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=9490,
serialized_end=9518,
)
_UINT32MESSAGE = _descriptor.Descriptor(
name='Uint32Message',
full_name='protobuf_unittest.Uint32Message',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='protobuf_unittest.Uint32Message.data', index=0,
number=1, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=9520,
serialized_end=9549,
)
_INT64MESSAGE = _descriptor.Descriptor(
name='Int64Message',
full_name='protobuf_unittest.Int64Message',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='protobuf_unittest.Int64Message.data', index=0,
number=1, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=9551,
serialized_end=9579,
)
_UINT64MESSAGE = _descriptor.Descriptor(
name='Uint64Message',
full_name='protobuf_unittest.Uint64Message',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='protobuf_unittest.Uint64Message.data', index=0,
number=1, type=4, cpp_type=4, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=9581,
serialized_end=9610,
)
_BOOLMESSAGE = _descriptor.Descriptor(
name='BoolMessage',
full_name='protobuf_unittest.BoolMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='protobuf_unittest.BoolMessage.data', index=0,
number=1, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=9612,
serialized_end=9639,
)
_TESTONEOF_FOOGROUP = _descriptor.Descriptor(
name='FooGroup',
full_name='protobuf_unittest.TestOneof.FooGroup',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='a', full_name='protobuf_unittest.TestOneof.FooGroup.a', index=0,
number=5, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='b', full_name='protobuf_unittest.TestOneof.FooGroup.b', index=1,
number=6, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=9811,
serialized_end=9843,
)
_TESTONEOF = _descriptor.Descriptor(
name='TestOneof',
full_name='protobuf_unittest.TestOneof',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='foo_int', full_name='protobuf_unittest.TestOneof.foo_int', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='foo_string', full_name='protobuf_unittest.TestOneof.foo_string', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='foo_message', full_name='protobuf_unittest.TestOneof.foo_message', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='foogroup', full_name='protobuf_unittest.TestOneof.foogroup', index=3,
number=4, type=10, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_TESTONEOF_FOOGROUP, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='foo', full_name='protobuf_unittest.TestOneof.foo',
index=0, containing_type=None, fields=[]),
],
serialized_start=9642,
serialized_end=9850,
)
_TESTONEOFBACKWARDSCOMPATIBLE_FOOGROUP = _descriptor.Descriptor(
name='FooGroup',
full_name='protobuf_unittest.TestOneofBackwardsCompatible.FooGroup',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='a', full_name='protobuf_unittest.TestOneofBackwardsCompatible.FooGroup.a', index=0,
number=5, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='b', full_name='protobuf_unittest.TestOneofBackwardsCompatible.FooGroup.b', index=1,
number=6, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=9811,
serialized_end=9843,
)
_TESTONEOFBACKWARDSCOMPATIBLE = _descriptor.Descriptor(
name='TestOneofBackwardsCompatible',
full_name='protobuf_unittest.TestOneofBackwardsCompatible',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='foo_int', full_name='protobuf_unittest.TestOneofBackwardsCompatible.foo_int', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='foo_string', full_name='protobuf_unittest.TestOneofBackwardsCompatible.foo_string', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='foo_message', full_name='protobuf_unittest.TestOneofBackwardsCompatible.foo_message', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='foogroup', full_name='protobuf_unittest.TestOneofBackwardsCompatible.foogroup', index=3,
number=4, type=10, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_TESTONEOFBACKWARDSCOMPATIBLE_FOOGROUP, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=9853,
serialized_end=10084,
)
_TESTONEOF2_FOOGROUP = _descriptor.Descriptor(
name='FooGroup',
full_name='protobuf_unittest.TestOneof2.FooGroup',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='a', full_name='protobuf_unittest.TestOneof2.FooGroup.a', index=0,
number=9, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='b', full_name='protobuf_unittest.TestOneof2.FooGroup.b', index=1,
number=10, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=10745,
serialized_end=10777,
)
_TESTONEOF2_NESTEDMESSAGE = _descriptor.Descriptor(
name='NestedMessage',
full_name='protobuf_unittest.TestOneof2.NestedMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='qux_int', full_name='protobuf_unittest.TestOneof2.NestedMessage.qux_int', index=0,
number=1, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='corge_int', full_name='protobuf_unittest.TestOneof2.NestedMessage.corge_int', index=1,
number=2, type=5, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=10779,
serialized_end=10830,
)
_TESTONEOF2 = _descriptor.Descriptor(
name='TestOneof2',
full_name='protobuf_unittest.TestOneof2',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='foo_int', full_name='protobuf_unittest.TestOneof2.foo_int', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='foo_string', full_name='protobuf_unittest.TestOneof2.foo_string', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='foo_cord', full_name='protobuf_unittest.TestOneof2.foo_cord', index=2,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\010\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='foo_string_piece', full_name='protobuf_unittest.TestOneof2.foo_string_piece', index=3,
number=4, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\010\002'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='foo_bytes', full_name='protobuf_unittest.TestOneof2.foo_bytes', index=4,
number=5, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='foo_enum', full_name='protobuf_unittest.TestOneof2.foo_enum', index=5,
number=6, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='foo_message', full_name='protobuf_unittest.TestOneof2.foo_message', index=6,
number=7, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='foogroup', full_name='protobuf_unittest.TestOneof2.foogroup', index=7,
number=8, type=10, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='foo_lazy_message', full_name='protobuf_unittest.TestOneof2.foo_lazy_message', index=8,
number=11, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('(\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bar_int', full_name='protobuf_unittest.TestOneof2.bar_int', index=9,
number=12, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=5,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bar_string', full_name='protobuf_unittest.TestOneof2.bar_string', index=10,
number=13, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("STRING").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bar_cord', full_name='protobuf_unittest.TestOneof2.bar_cord', index=11,
number=14, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("CORD").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\010\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bar_string_piece', full_name='protobuf_unittest.TestOneof2.bar_string_piece', index=12,
number=15, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("SPIECE").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\010\002'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bar_bytes', full_name='protobuf_unittest.TestOneof2.bar_bytes', index=13,
number=16, type=12, cpp_type=9, label=1,
has_default_value=True, default_value=_b("BYTES"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bar_enum', full_name='protobuf_unittest.TestOneof2.bar_enum', index=14,
number=17, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=2,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='baz_int', full_name='protobuf_unittest.TestOneof2.baz_int', index=15,
number=18, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='baz_string', full_name='protobuf_unittest.TestOneof2.baz_string', index=16,
number=19, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("BAZ").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_TESTONEOF2_FOOGROUP, _TESTONEOF2_NESTEDMESSAGE, ],
enum_types=[
_TESTONEOF2_NESTEDENUM,
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='foo', full_name='protobuf_unittest.TestOneof2.foo',
index=0, containing_type=None, fields=[]),
_descriptor.OneofDescriptor(
name='bar', full_name='protobuf_unittest.TestOneof2.bar',
index=1, containing_type=None, fields=[]),
],
serialized_start=10087,
serialized_end=10885,
)
_TESTREQUIREDONEOF_NESTEDMESSAGE = _descriptor.Descriptor(
name='NestedMessage',
full_name='protobuf_unittest.TestRequiredOneof.NestedMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='required_double', full_name='protobuf_unittest.TestRequiredOneof.NestedMessage.required_double', index=0,
number=1, type=1, cpp_type=5, label=2,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=11025,
serialized_end=11065,
)
_TESTREQUIREDONEOF = _descriptor.Descriptor(
name='TestRequiredOneof',
full_name='protobuf_unittest.TestRequiredOneof',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='foo_int', full_name='protobuf_unittest.TestRequiredOneof.foo_int', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='foo_string', full_name='protobuf_unittest.TestRequiredOneof.foo_string', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='foo_message', full_name='protobuf_unittest.TestRequiredOneof.foo_message', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_TESTREQUIREDONEOF_NESTEDMESSAGE, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='foo', full_name='protobuf_unittest.TestRequiredOneof.foo',
index=0, containing_type=None, fields=[]),
],
serialized_start=10888,
serialized_end=11072,
)
_TESTPACKEDTYPES = _descriptor.Descriptor(
name='TestPackedTypes',
full_name='protobuf_unittest.TestPackedTypes',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='packed_int32', full_name='protobuf_unittest.TestPackedTypes.packed_int32', index=0,
number=90, type=5, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='packed_int64', full_name='protobuf_unittest.TestPackedTypes.packed_int64', index=1,
number=91, type=3, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='packed_uint32', full_name='protobuf_unittest.TestPackedTypes.packed_uint32', index=2,
number=92, type=13, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='packed_uint64', full_name='protobuf_unittest.TestPackedTypes.packed_uint64', index=3,
number=93, type=4, cpp_type=4, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='packed_sint32', full_name='protobuf_unittest.TestPackedTypes.packed_sint32', index=4,
number=94, type=17, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='packed_sint64', full_name='protobuf_unittest.TestPackedTypes.packed_sint64', index=5,
number=95, type=18, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='packed_fixed32', full_name='protobuf_unittest.TestPackedTypes.packed_fixed32', index=6,
number=96, type=7, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='packed_fixed64', full_name='protobuf_unittest.TestPackedTypes.packed_fixed64', index=7,
number=97, type=6, cpp_type=4, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='packed_sfixed32', full_name='protobuf_unittest.TestPackedTypes.packed_sfixed32', index=8,
number=98, type=15, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='packed_sfixed64', full_name='protobuf_unittest.TestPackedTypes.packed_sfixed64', index=9,
number=99, type=16, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='packed_float', full_name='protobuf_unittest.TestPackedTypes.packed_float', index=10,
number=100, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='packed_double', full_name='protobuf_unittest.TestPackedTypes.packed_double', index=11,
number=101, type=1, cpp_type=5, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='packed_bool', full_name='protobuf_unittest.TestPackedTypes.packed_bool', index=12,
number=102, type=8, cpp_type=7, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='packed_enum', full_name='protobuf_unittest.TestPackedTypes.packed_enum', index=13,
number=103, type=14, cpp_type=8, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=11075,
serialized_end=11501,
)
_TESTUNPACKEDTYPES = _descriptor.Descriptor(
name='TestUnpackedTypes',
full_name='protobuf_unittest.TestUnpackedTypes',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='unpacked_int32', full_name='protobuf_unittest.TestUnpackedTypes.unpacked_int32', index=0,
number=90, type=5, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='unpacked_int64', full_name='protobuf_unittest.TestUnpackedTypes.unpacked_int64', index=1,
number=91, type=3, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='unpacked_uint32', full_name='protobuf_unittest.TestUnpackedTypes.unpacked_uint32', index=2,
number=92, type=13, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='unpacked_uint64', full_name='protobuf_unittest.TestUnpackedTypes.unpacked_uint64', index=3,
number=93, type=4, cpp_type=4, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='unpacked_sint32', full_name='protobuf_unittest.TestUnpackedTypes.unpacked_sint32', index=4,
number=94, type=17, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='unpacked_sint64', full_name='protobuf_unittest.TestUnpackedTypes.unpacked_sint64', index=5,
number=95, type=18, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='unpacked_fixed32', full_name='protobuf_unittest.TestUnpackedTypes.unpacked_fixed32', index=6,
number=96, type=7, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='unpacked_fixed64', full_name='protobuf_unittest.TestUnpackedTypes.unpacked_fixed64', index=7,
number=97, type=6, cpp_type=4, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='unpacked_sfixed32', full_name='protobuf_unittest.TestUnpackedTypes.unpacked_sfixed32', index=8,
number=98, type=15, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='unpacked_sfixed64', full_name='protobuf_unittest.TestUnpackedTypes.unpacked_sfixed64', index=9,
number=99, type=16, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='unpacked_float', full_name='protobuf_unittest.TestUnpackedTypes.unpacked_float', index=10,
number=100, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='unpacked_double', full_name='protobuf_unittest.TestUnpackedTypes.unpacked_double', index=11,
number=101, type=1, cpp_type=5, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='unpacked_bool', full_name='protobuf_unittest.TestUnpackedTypes.unpacked_bool', index=12,
number=102, type=8, cpp_type=7, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='unpacked_enum', full_name='protobuf_unittest.TestUnpackedTypes.unpacked_enum', index=13,
number=103, type=14, cpp_type=8, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=11504,
serialized_end=11960,
)
_TESTPACKEDEXTENSIONS = _descriptor.Descriptor(
name='TestPackedExtensions',
full_name='protobuf_unittest.TestPackedExtensions',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=True,
syntax='proto2',
extension_ranges=[(1, 536870912), ],
oneofs=[
],
serialized_start=11962,
serialized_end=11994,
)
_TESTUNPACKEDEXTENSIONS = _descriptor.Descriptor(
name='TestUnpackedExtensions',
full_name='protobuf_unittest.TestUnpackedExtensions',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=True,
syntax='proto2',
extension_ranges=[(1, 536870912), ],
oneofs=[
],
serialized_start=11996,
serialized_end=12030,
)
_TESTDYNAMICEXTENSIONS_DYNAMICMESSAGETYPE = _descriptor.Descriptor(
name='DynamicMessageType',
full_name='protobuf_unittest.TestDynamicExtensions.DynamicMessageType',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='dynamic_field', full_name='protobuf_unittest.TestDynamicExtensions.DynamicMessageType.dynamic_field', index=0,
number=2100, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=12453,
serialized_end=12497,
)
_TESTDYNAMICEXTENSIONS = _descriptor.Descriptor(
name='TestDynamicExtensions',
full_name='protobuf_unittest.TestDynamicExtensions',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='scalar_extension', full_name='protobuf_unittest.TestDynamicExtensions.scalar_extension', index=0,
number=2000, type=7, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='enum_extension', full_name='protobuf_unittest.TestDynamicExtensions.enum_extension', index=1,
number=2001, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=4,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dynamic_enum_extension', full_name='protobuf_unittest.TestDynamicExtensions.dynamic_enum_extension', index=2,
number=2002, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=2200,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='message_extension', full_name='protobuf_unittest.TestDynamicExtensions.message_extension', index=3,
number=2003, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dynamic_message_extension', full_name='protobuf_unittest.TestDynamicExtensions.dynamic_message_extension', index=4,
number=2004, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_extension', full_name='protobuf_unittest.TestDynamicExtensions.repeated_extension', index=5,
number=2005, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='packed_extension', full_name='protobuf_unittest.TestDynamicExtensions.packed_extension', index=6,
number=2006, type=17, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_TESTDYNAMICEXTENSIONS_DYNAMICMESSAGETYPE, ],
enum_types=[
_TESTDYNAMICEXTENSIONS_DYNAMICENUMTYPE,
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=12033,
serialized_end=12570,
)
_TESTREPEATEDSCALARDIFFERENTTAGSIZES = _descriptor.Descriptor(
name='TestRepeatedScalarDifferentTagSizes',
full_name='protobuf_unittest.TestRepeatedScalarDifferentTagSizes',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='repeated_fixed32', full_name='protobuf_unittest.TestRepeatedScalarDifferentTagSizes.repeated_fixed32', index=0,
number=12, type=7, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_int32', full_name='protobuf_unittest.TestRepeatedScalarDifferentTagSizes.repeated_int32', index=1,
number=13, type=5, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_fixed64', full_name='protobuf_unittest.TestRepeatedScalarDifferentTagSizes.repeated_fixed64', index=2,
number=2046, type=6, cpp_type=4, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_int64', full_name='protobuf_unittest.TestRepeatedScalarDifferentTagSizes.repeated_int64', index=3,
number=2047, type=3, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_float', full_name='protobuf_unittest.TestRepeatedScalarDifferentTagSizes.repeated_float', index=4,
number=262142, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_uint64', full_name='protobuf_unittest.TestRepeatedScalarDifferentTagSizes.repeated_uint64', index=5,
number=262143, type=4, cpp_type=4, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=12573,
serialized_end=12765,
)
_TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR_GROUP1 = _descriptor.Descriptor(
name='Group1',
full_name='protobuf_unittest.TestParsingMerge.RepeatedFieldsGenerator.Group1',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='field1', full_name='protobuf_unittest.TestParsingMerge.RepeatedFieldsGenerator.Group1.field1', index=0,
number=11, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=13558,
serialized_end=13615,
)
_TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR_GROUP2 = _descriptor.Descriptor(
name='Group2',
full_name='protobuf_unittest.TestParsingMerge.RepeatedFieldsGenerator.Group2',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='field1', full_name='protobuf_unittest.TestParsingMerge.RepeatedFieldsGenerator.Group2.field1', index=0,
number=21, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=13617,
serialized_end=13674,
)
_TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR = _descriptor.Descriptor(
name='RepeatedFieldsGenerator',
full_name='protobuf_unittest.TestParsingMerge.RepeatedFieldsGenerator',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='field1', full_name='protobuf_unittest.TestParsingMerge.RepeatedFieldsGenerator.field1', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='field2', full_name='protobuf_unittest.TestParsingMerge.RepeatedFieldsGenerator.field2', index=1,
number=2, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='field3', full_name='protobuf_unittest.TestParsingMerge.RepeatedFieldsGenerator.field3', index=2,
number=3, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='group1', full_name='protobuf_unittest.TestParsingMerge.RepeatedFieldsGenerator.group1', index=3,
number=10, type=10, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='group2', full_name='protobuf_unittest.TestParsingMerge.RepeatedFieldsGenerator.group2', index=4,
number=20, type=10, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='ext1', full_name='protobuf_unittest.TestParsingMerge.RepeatedFieldsGenerator.ext1', index=5,
number=1000, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='ext2', full_name='protobuf_unittest.TestParsingMerge.RepeatedFieldsGenerator.ext2', index=6,
number=1001, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR_GROUP1, _TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR_GROUP2, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=13120,
serialized_end=13674,
)
_TESTPARSINGMERGE_OPTIONALGROUP = _descriptor.Descriptor(
name='OptionalGroup',
full_name='protobuf_unittest.TestParsingMerge.OptionalGroup',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='optional_group_all_types', full_name='protobuf_unittest.TestParsingMerge.OptionalGroup.optional_group_all_types', index=0,
number=11, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=13676,
serialized_end=13758,
)
_TESTPARSINGMERGE_REPEATEDGROUP = _descriptor.Descriptor(
name='RepeatedGroup',
full_name='protobuf_unittest.TestParsingMerge.RepeatedGroup',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='repeated_group_all_types', full_name='protobuf_unittest.TestParsingMerge.RepeatedGroup.repeated_group_all_types', index=0,
number=21, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=13760,
serialized_end=13842,
)
_TESTPARSINGMERGE = _descriptor.Descriptor(
name='TestParsingMerge',
full_name='protobuf_unittest.TestParsingMerge',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='required_all_types', full_name='protobuf_unittest.TestParsingMerge.required_all_types', index=0,
number=1, type=11, cpp_type=10, label=2,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='optional_all_types', full_name='protobuf_unittest.TestParsingMerge.optional_all_types', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_all_types', full_name='protobuf_unittest.TestParsingMerge.repeated_all_types', index=2,
number=3, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='optionalgroup', full_name='protobuf_unittest.TestParsingMerge.optionalgroup', index=3,
number=10, type=10, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeatedgroup', full_name='protobuf_unittest.TestParsingMerge.repeatedgroup', index=4,
number=20, type=10, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='optional_ext', full_name='protobuf_unittest.TestParsingMerge.optional_ext', index=0,
number=1000, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_ext', full_name='protobuf_unittest.TestParsingMerge.repeated_ext', index=1,
number=1001, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR, _TESTPARSINGMERGE_OPTIONALGROUP, _TESTPARSINGMERGE_REPEATEDGROUP, ],
enum_types=[
],
serialized_options=None,
is_extendable=True,
syntax='proto2',
extension_ranges=[(1000, 536870912), ],
oneofs=[
],
serialized_start=12768,
serialized_end=14039,
)
_TESTCOMMENTINJECTIONMESSAGE = _descriptor.Descriptor(
name='TestCommentInjectionMessage',
full_name='protobuf_unittest.TestCommentInjectionMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='a', full_name='protobuf_unittest.TestCommentInjectionMessage.a', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=_b("*/ <- Neither should this.").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=14041,
serialized_end=14109,
)
_FOOREQUEST = _descriptor.Descriptor(
name='FooRequest',
full_name='protobuf_unittest.FooRequest',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=14111,
serialized_end=14123,
)
_FOORESPONSE = _descriptor.Descriptor(
name='FooResponse',
full_name='protobuf_unittest.FooResponse',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=14125,
serialized_end=14138,
)
_FOOCLIENTMESSAGE = _descriptor.Descriptor(
name='FooClientMessage',
full_name='protobuf_unittest.FooClientMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=14140,
serialized_end=14158,
)
_FOOSERVERMESSAGE = _descriptor.Descriptor(
name='FooServerMessage',
full_name='protobuf_unittest.FooServerMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=14160,
serialized_end=14178,
)
_BARREQUEST = _descriptor.Descriptor(
name='BarRequest',
full_name='protobuf_unittest.BarRequest',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=14180,
serialized_end=14192,
)
_BARRESPONSE = _descriptor.Descriptor(
name='BarResponse',
full_name='protobuf_unittest.BarResponse',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=14194,
serialized_end=14207,
)
_TESTJSONNAME = _descriptor.Descriptor(
name='TestJsonName',
full_name='protobuf_unittest.TestJsonName',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='field_name1', full_name='protobuf_unittest.TestJsonName.field_name1', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='fieldName2', full_name='protobuf_unittest.TestJsonName.fieldName2', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='FieldName3', full_name='protobuf_unittest.TestJsonName.FieldName3', index=2,
number=3, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='_field_name4', full_name='protobuf_unittest.TestJsonName._field_name4', index=3,
number=4, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='FIELD_NAME5', full_name='protobuf_unittest.TestJsonName.FIELD_NAME5', index=4,
number=5, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='field_name6', full_name='protobuf_unittest.TestJsonName.field_name6', index=5,
number=6, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='@type', file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=14210,
serialized_end=14356,
)
_TESTHUGEFIELDNUMBERS_OPTIONALGROUP = _descriptor.Descriptor(
name='OptionalGroup',
full_name='protobuf_unittest.TestHugeFieldNumbers.OptionalGroup',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='group_a', full_name='protobuf_unittest.TestHugeFieldNumbers.OptionalGroup.group_a', index=0,
number=536870009, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=15003,
serialized_end=15039,
)
_TESTHUGEFIELDNUMBERS_STRINGSTRINGMAPENTRY = _descriptor.Descriptor(
name='StringStringMapEntry',
full_name='protobuf_unittest.TestHugeFieldNumbers.StringStringMapEntry',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='key', full_name='protobuf_unittest.TestHugeFieldNumbers.StringStringMapEntry.key', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='value', full_name='protobuf_unittest.TestHugeFieldNumbers.StringStringMapEntry.value', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=_b('8\001'),
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=15041,
serialized_end=15095,
)
_TESTHUGEFIELDNUMBERS = _descriptor.Descriptor(
name='TestHugeFieldNumbers',
full_name='protobuf_unittest.TestHugeFieldNumbers',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='optional_int32', full_name='protobuf_unittest.TestHugeFieldNumbers.optional_int32', index=0,
number=536870000, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='fixed_32', full_name='protobuf_unittest.TestHugeFieldNumbers.fixed_32', index=1,
number=536870001, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_int32', full_name='protobuf_unittest.TestHugeFieldNumbers.repeated_int32', index=2,
number=536870002, type=5, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\000'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='packed_int32', full_name='protobuf_unittest.TestHugeFieldNumbers.packed_int32', index=3,
number=536870003, type=5, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=_b('\020\001'), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='optional_enum', full_name='protobuf_unittest.TestHugeFieldNumbers.optional_enum', index=4,
number=536870004, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=4,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='optional_string', full_name='protobuf_unittest.TestHugeFieldNumbers.optional_string', index=5,
number=536870005, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='optional_bytes', full_name='protobuf_unittest.TestHugeFieldNumbers.optional_bytes', index=6,
number=536870006, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='optional_message', full_name='protobuf_unittest.TestHugeFieldNumbers.optional_message', index=7,
number=536870007, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='optionalgroup', full_name='protobuf_unittest.TestHugeFieldNumbers.optionalgroup', index=8,
number=536870008, type=10, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='string_string_map', full_name='protobuf_unittest.TestHugeFieldNumbers.string_string_map', index=9,
number=536870010, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='oneof_uint32', full_name='protobuf_unittest.TestHugeFieldNumbers.oneof_uint32', index=10,
number=536870011, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='oneof_test_all_types', full_name='protobuf_unittest.TestHugeFieldNumbers.oneof_test_all_types', index=11,
number=536870012, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='oneof_string', full_name='protobuf_unittest.TestHugeFieldNumbers.oneof_string', index=12,
number=536870013, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='oneof_bytes', full_name='protobuf_unittest.TestHugeFieldNumbers.oneof_bytes', index=13,
number=536870014, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_TESTHUGEFIELDNUMBERS_OPTIONALGROUP, _TESTHUGEFIELDNUMBERS_STRINGSTRINGMAPENTRY, ],
enum_types=[
],
serialized_options=None,
is_extendable=True,
syntax='proto2',
extension_ranges=[(536860000, 536870000), ],
oneofs=[
_descriptor.OneofDescriptor(
name='oneof_field', full_name='protobuf_unittest.TestHugeFieldNumbers.oneof_field',
index=0, containing_type=None, fields=[]),
],
serialized_start=14359,
serialized_end=15124,
)
_TESTEXTENSIONINSIDETABLE = _descriptor.Descriptor(
name='TestExtensionInsideTable',
full_name='protobuf_unittest.TestExtensionInsideTable',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='field1', full_name='protobuf_unittest.TestExtensionInsideTable.field1', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='field2', full_name='protobuf_unittest.TestExtensionInsideTable.field2', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='field3', full_name='protobuf_unittest.TestExtensionInsideTable.field3', index=2,
number=3, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='field4', full_name='protobuf_unittest.TestExtensionInsideTable.field4', index=3,
number=4, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='field6', full_name='protobuf_unittest.TestExtensionInsideTable.field6', index=4,
number=6, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='field7', full_name='protobuf_unittest.TestExtensionInsideTable.field7', index=5,
number=7, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='field8', full_name='protobuf_unittest.TestExtensionInsideTable.field8', index=6,
number=8, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='field9', full_name='protobuf_unittest.TestExtensionInsideTable.field9', index=7,
number=9, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='field10', full_name='protobuf_unittest.TestExtensionInsideTable.field10', index=8,
number=10, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=True,
syntax='proto2',
extension_ranges=[(5, 6), ],
oneofs=[
],
serialized_start=15127,
serialized_end=15304,
)
_TESTALLTYPES_NESTEDMESSAGE.containing_type = _TESTALLTYPES
_TESTALLTYPES_OPTIONALGROUP.containing_type = _TESTALLTYPES
_TESTALLTYPES_REPEATEDGROUP.containing_type = _TESTALLTYPES
_TESTALLTYPES.fields_by_name['optionalgroup'].message_type = _TESTALLTYPES_OPTIONALGROUP
_TESTALLTYPES.fields_by_name['optional_nested_message'].message_type = _TESTALLTYPES_NESTEDMESSAGE
_TESTALLTYPES.fields_by_name['optional_foreign_message'].message_type = _FOREIGNMESSAGE
_TESTALLTYPES.fields_by_name['optional_import_message'].message_type = google_dot_protobuf_dot_unittest__import__pb2._IMPORTMESSAGE
_TESTALLTYPES.fields_by_name['optional_nested_enum'].enum_type = _TESTALLTYPES_NESTEDENUM
_TESTALLTYPES.fields_by_name['optional_foreign_enum'].enum_type = _FOREIGNENUM
_TESTALLTYPES.fields_by_name['optional_import_enum'].enum_type = google_dot_protobuf_dot_unittest__import__pb2._IMPORTENUM
_TESTALLTYPES.fields_by_name['optional_public_import_message'].message_type = google_dot_protobuf_dot_unittest__import__public__pb2._PUBLICIMPORTMESSAGE
_TESTALLTYPES.fields_by_name['optional_lazy_message'].message_type = _TESTALLTYPES_NESTEDMESSAGE
_TESTALLTYPES.fields_by_name['repeatedgroup'].message_type = _TESTALLTYPES_REPEATEDGROUP
_TESTALLTYPES.fields_by_name['repeated_nested_message'].message_type = _TESTALLTYPES_NESTEDMESSAGE
_TESTALLTYPES.fields_by_name['repeated_foreign_message'].message_type = _FOREIGNMESSAGE
_TESTALLTYPES.fields_by_name['repeated_import_message'].message_type = google_dot_protobuf_dot_unittest__import__pb2._IMPORTMESSAGE
_TESTALLTYPES.fields_by_name['repeated_nested_enum'].enum_type = _TESTALLTYPES_NESTEDENUM
_TESTALLTYPES.fields_by_name['repeated_foreign_enum'].enum_type = _FOREIGNENUM
_TESTALLTYPES.fields_by_name['repeated_import_enum'].enum_type = google_dot_protobuf_dot_unittest__import__pb2._IMPORTENUM
_TESTALLTYPES.fields_by_name['repeated_lazy_message'].message_type = _TESTALLTYPES_NESTEDMESSAGE
_TESTALLTYPES.fields_by_name['default_nested_enum'].enum_type = _TESTALLTYPES_NESTEDENUM
_TESTALLTYPES.fields_by_name['default_foreign_enum'].enum_type = _FOREIGNENUM
_TESTALLTYPES.fields_by_name['default_import_enum'].enum_type = google_dot_protobuf_dot_unittest__import__pb2._IMPORTENUM
_TESTALLTYPES.fields_by_name['oneof_nested_message'].message_type = _TESTALLTYPES_NESTEDMESSAGE
_TESTALLTYPES_NESTEDENUM.containing_type = _TESTALLTYPES
_TESTALLTYPES.oneofs_by_name['oneof_field'].fields.append(
_TESTALLTYPES.fields_by_name['oneof_uint32'])
_TESTALLTYPES.fields_by_name['oneof_uint32'].containing_oneof = _TESTALLTYPES.oneofs_by_name['oneof_field']
_TESTALLTYPES.oneofs_by_name['oneof_field'].fields.append(
_TESTALLTYPES.fields_by_name['oneof_nested_message'])
_TESTALLTYPES.fields_by_name['oneof_nested_message'].containing_oneof = _TESTALLTYPES.oneofs_by_name['oneof_field']
_TESTALLTYPES.oneofs_by_name['oneof_field'].fields.append(
_TESTALLTYPES.fields_by_name['oneof_string'])
_TESTALLTYPES.fields_by_name['oneof_string'].containing_oneof = _TESTALLTYPES.oneofs_by_name['oneof_field']
_TESTALLTYPES.oneofs_by_name['oneof_field'].fields.append(
_TESTALLTYPES.fields_by_name['oneof_bytes'])
_TESTALLTYPES.fields_by_name['oneof_bytes'].containing_oneof = _TESTALLTYPES.oneofs_by_name['oneof_field']
_NESTEDTESTALLTYPES.fields_by_name['child'].message_type = _NESTEDTESTALLTYPES
_NESTEDTESTALLTYPES.fields_by_name['payload'].message_type = _TESTALLTYPES
_NESTEDTESTALLTYPES.fields_by_name['repeated_child'].message_type = _NESTEDTESTALLTYPES
_TESTDEPRECATEDFIELDS.oneofs_by_name['oneof_fields'].fields.append(
_TESTDEPRECATEDFIELDS.fields_by_name['deprecated_int32_in_oneof'])
_TESTDEPRECATEDFIELDS.fields_by_name['deprecated_int32_in_oneof'].containing_oneof = _TESTDEPRECATEDFIELDS.oneofs_by_name['oneof_fields']
_TESTGROUP_OPTIONALGROUP.containing_type = _TESTGROUP
_TESTGROUP.fields_by_name['optionalgroup'].message_type = _TESTGROUP_OPTIONALGROUP
_TESTGROUP.fields_by_name['optional_foreign_enum'].enum_type = _FOREIGNENUM
_TESTNESTEDEXTENSION_OPTIONALGROUP_EXTENSION.containing_type = _TESTNESTEDEXTENSION
_TESTREQUIREDFOREIGN.fields_by_name['optional_message'].message_type = _TESTREQUIRED
_TESTREQUIREDFOREIGN.fields_by_name['repeated_message'].message_type = _TESTREQUIRED
_TESTREQUIREDMESSAGE.fields_by_name['optional_message'].message_type = _TESTREQUIRED
_TESTREQUIREDMESSAGE.fields_by_name['repeated_message'].message_type = _TESTREQUIRED
_TESTREQUIREDMESSAGE.fields_by_name['required_message'].message_type = _TESTREQUIRED
_TESTFOREIGNNESTED.fields_by_name['foreign_nested'].message_type = _TESTALLTYPES_NESTEDMESSAGE
_TESTRECURSIVEMESSAGE.fields_by_name['a'].message_type = _TESTRECURSIVEMESSAGE
_TESTMUTUALRECURSIONA_SUBMESSAGE.fields_by_name['b'].message_type = _TESTMUTUALRECURSIONB
_TESTMUTUALRECURSIONA_SUBMESSAGE.containing_type = _TESTMUTUALRECURSIONA
_TESTMUTUALRECURSIONA_SUBGROUP.fields_by_name['sub_message'].message_type = _TESTMUTUALRECURSIONA_SUBMESSAGE
_TESTMUTUALRECURSIONA_SUBGROUP.fields_by_name['not_in_this_scc'].message_type = _TESTALLTYPES
_TESTMUTUALRECURSIONA_SUBGROUP.containing_type = _TESTMUTUALRECURSIONA
_TESTMUTUALRECURSIONA.fields_by_name['bb'].message_type = _TESTMUTUALRECURSIONB
_TESTMUTUALRECURSIONA.fields_by_name['subgroup'].message_type = _TESTMUTUALRECURSIONA_SUBGROUP
_TESTMUTUALRECURSIONB.fields_by_name['a'].message_type = _TESTMUTUALRECURSIONA
_TESTISINITIALIZED_SUBMESSAGE_SUBGROUP.containing_type = _TESTISINITIALIZED_SUBMESSAGE
_TESTISINITIALIZED_SUBMESSAGE.fields_by_name['subgroup'].message_type = _TESTISINITIALIZED_SUBMESSAGE_SUBGROUP
_TESTISINITIALIZED_SUBMESSAGE.containing_type = _TESTISINITIALIZED
_TESTISINITIALIZED.fields_by_name['sub_message'].message_type = _TESTISINITIALIZED_SUBMESSAGE
_TESTDUPFIELDNUMBER_FOO.containing_type = _TESTDUPFIELDNUMBER
_TESTDUPFIELDNUMBER_BAR.containing_type = _TESTDUPFIELDNUMBER
_TESTDUPFIELDNUMBER.fields_by_name['foo'].message_type = _TESTDUPFIELDNUMBER_FOO
_TESTDUPFIELDNUMBER.fields_by_name['bar'].message_type = _TESTDUPFIELDNUMBER_BAR
_TESTEAGERMESSAGE.fields_by_name['sub_message'].message_type = _TESTALLTYPES
_TESTLAZYMESSAGE.fields_by_name['sub_message'].message_type = _TESTALLTYPES
_TESTNESTEDMESSAGEHASBITS_NESTEDMESSAGE.fields_by_name['nestedmessage_repeated_foreignmessage'].message_type = _FOREIGNMESSAGE
_TESTNESTEDMESSAGEHASBITS_NESTEDMESSAGE.containing_type = _TESTNESTEDMESSAGEHASBITS
_TESTNESTEDMESSAGEHASBITS.fields_by_name['optional_nested_message'].message_type = _TESTNESTEDMESSAGEHASBITS_NESTEDMESSAGE
_TESTCAMELCASEFIELDNAMES.fields_by_name['EnumField'].enum_type = _FOREIGNENUM
_TESTCAMELCASEFIELDNAMES.fields_by_name['MessageField'].message_type = _FOREIGNMESSAGE
_TESTCAMELCASEFIELDNAMES.fields_by_name['RepeatedEnumField'].enum_type = _FOREIGNENUM
_TESTCAMELCASEFIELDNAMES.fields_by_name['RepeatedMessageField'].message_type = _FOREIGNMESSAGE
_TESTFIELDORDERINGS_NESTEDMESSAGE.containing_type = _TESTFIELDORDERINGS
_TESTFIELDORDERINGS.fields_by_name['optional_nested_message'].message_type = _TESTFIELDORDERINGS_NESTEDMESSAGE
_TESTEXTENSIONORDERINGS2_TESTEXTENSIONORDERINGS3.containing_type = _TESTEXTENSIONORDERINGS2
_SPARSEENUMMESSAGE.fields_by_name['sparse_enum'].enum_type = _TESTSPARSEENUM
_TESTONEOF_FOOGROUP.containing_type = _TESTONEOF
_TESTONEOF.fields_by_name['foo_message'].message_type = _TESTALLTYPES
_TESTONEOF.fields_by_name['foogroup'].message_type = _TESTONEOF_FOOGROUP
_TESTONEOF.oneofs_by_name['foo'].fields.append(
_TESTONEOF.fields_by_name['foo_int'])
_TESTONEOF.fields_by_name['foo_int'].containing_oneof = _TESTONEOF.oneofs_by_name['foo']
_TESTONEOF.oneofs_by_name['foo'].fields.append(
_TESTONEOF.fields_by_name['foo_string'])
_TESTONEOF.fields_by_name['foo_string'].containing_oneof = _TESTONEOF.oneofs_by_name['foo']
_TESTONEOF.oneofs_by_name['foo'].fields.append(
_TESTONEOF.fields_by_name['foo_message'])
_TESTONEOF.fields_by_name['foo_message'].containing_oneof = _TESTONEOF.oneofs_by_name['foo']
_TESTONEOF.oneofs_by_name['foo'].fields.append(
_TESTONEOF.fields_by_name['foogroup'])
_TESTONEOF.fields_by_name['foogroup'].containing_oneof = _TESTONEOF.oneofs_by_name['foo']
_TESTONEOFBACKWARDSCOMPATIBLE_FOOGROUP.containing_type = _TESTONEOFBACKWARDSCOMPATIBLE
_TESTONEOFBACKWARDSCOMPATIBLE.fields_by_name['foo_message'].message_type = _TESTALLTYPES
_TESTONEOFBACKWARDSCOMPATIBLE.fields_by_name['foogroup'].message_type = _TESTONEOFBACKWARDSCOMPATIBLE_FOOGROUP
_TESTONEOF2_FOOGROUP.containing_type = _TESTONEOF2
_TESTONEOF2_NESTEDMESSAGE.containing_type = _TESTONEOF2
_TESTONEOF2.fields_by_name['foo_enum'].enum_type = _TESTONEOF2_NESTEDENUM
_TESTONEOF2.fields_by_name['foo_message'].message_type = _TESTONEOF2_NESTEDMESSAGE
_TESTONEOF2.fields_by_name['foogroup'].message_type = _TESTONEOF2_FOOGROUP
_TESTONEOF2.fields_by_name['foo_lazy_message'].message_type = _TESTONEOF2_NESTEDMESSAGE
_TESTONEOF2.fields_by_name['bar_enum'].enum_type = _TESTONEOF2_NESTEDENUM
_TESTONEOF2_NESTEDENUM.containing_type = _TESTONEOF2
_TESTONEOF2.oneofs_by_name['foo'].fields.append(
_TESTONEOF2.fields_by_name['foo_int'])
_TESTONEOF2.fields_by_name['foo_int'].containing_oneof = _TESTONEOF2.oneofs_by_name['foo']
_TESTONEOF2.oneofs_by_name['foo'].fields.append(
_TESTONEOF2.fields_by_name['foo_string'])
_TESTONEOF2.fields_by_name['foo_string'].containing_oneof = _TESTONEOF2.oneofs_by_name['foo']
_TESTONEOF2.oneofs_by_name['foo'].fields.append(
_TESTONEOF2.fields_by_name['foo_cord'])
_TESTONEOF2.fields_by_name['foo_cord'].containing_oneof = _TESTONEOF2.oneofs_by_name['foo']
_TESTONEOF2.oneofs_by_name['foo'].fields.append(
_TESTONEOF2.fields_by_name['foo_string_piece'])
_TESTONEOF2.fields_by_name['foo_string_piece'].containing_oneof = _TESTONEOF2.oneofs_by_name['foo']
_TESTONEOF2.oneofs_by_name['foo'].fields.append(
_TESTONEOF2.fields_by_name['foo_bytes'])
_TESTONEOF2.fields_by_name['foo_bytes'].containing_oneof = _TESTONEOF2.oneofs_by_name['foo']
_TESTONEOF2.oneofs_by_name['foo'].fields.append(
_TESTONEOF2.fields_by_name['foo_enum'])
_TESTONEOF2.fields_by_name['foo_enum'].containing_oneof = _TESTONEOF2.oneofs_by_name['foo']
_TESTONEOF2.oneofs_by_name['foo'].fields.append(
_TESTONEOF2.fields_by_name['foo_message'])
_TESTONEOF2.fields_by_name['foo_message'].containing_oneof = _TESTONEOF2.oneofs_by_name['foo']
_TESTONEOF2.oneofs_by_name['foo'].fields.append(
_TESTONEOF2.fields_by_name['foogroup'])
_TESTONEOF2.fields_by_name['foogroup'].containing_oneof = _TESTONEOF2.oneofs_by_name['foo']
_TESTONEOF2.oneofs_by_name['foo'].fields.append(
_TESTONEOF2.fields_by_name['foo_lazy_message'])
_TESTONEOF2.fields_by_name['foo_lazy_message'].containing_oneof = _TESTONEOF2.oneofs_by_name['foo']
_TESTONEOF2.oneofs_by_name['bar'].fields.append(
_TESTONEOF2.fields_by_name['bar_int'])
_TESTONEOF2.fields_by_name['bar_int'].containing_oneof = _TESTONEOF2.oneofs_by_name['bar']
_TESTONEOF2.oneofs_by_name['bar'].fields.append(
_TESTONEOF2.fields_by_name['bar_string'])
_TESTONEOF2.fields_by_name['bar_string'].containing_oneof = _TESTONEOF2.oneofs_by_name['bar']
_TESTONEOF2.oneofs_by_name['bar'].fields.append(
_TESTONEOF2.fields_by_name['bar_cord'])
_TESTONEOF2.fields_by_name['bar_cord'].containing_oneof = _TESTONEOF2.oneofs_by_name['bar']
_TESTONEOF2.oneofs_by_name['bar'].fields.append(
_TESTONEOF2.fields_by_name['bar_string_piece'])
_TESTONEOF2.fields_by_name['bar_string_piece'].containing_oneof = _TESTONEOF2.oneofs_by_name['bar']
_TESTONEOF2.oneofs_by_name['bar'].fields.append(
_TESTONEOF2.fields_by_name['bar_bytes'])
_TESTONEOF2.fields_by_name['bar_bytes'].containing_oneof = _TESTONEOF2.oneofs_by_name['bar']
_TESTONEOF2.oneofs_by_name['bar'].fields.append(
_TESTONEOF2.fields_by_name['bar_enum'])
_TESTONEOF2.fields_by_name['bar_enum'].containing_oneof = _TESTONEOF2.oneofs_by_name['bar']
_TESTREQUIREDONEOF_NESTEDMESSAGE.containing_type = _TESTREQUIREDONEOF
_TESTREQUIREDONEOF.fields_by_name['foo_message'].message_type = _TESTREQUIREDONEOF_NESTEDMESSAGE
_TESTREQUIREDONEOF.oneofs_by_name['foo'].fields.append(
_TESTREQUIREDONEOF.fields_by_name['foo_int'])
_TESTREQUIREDONEOF.fields_by_name['foo_int'].containing_oneof = _TESTREQUIREDONEOF.oneofs_by_name['foo']
_TESTREQUIREDONEOF.oneofs_by_name['foo'].fields.append(
_TESTREQUIREDONEOF.fields_by_name['foo_string'])
_TESTREQUIREDONEOF.fields_by_name['foo_string'].containing_oneof = _TESTREQUIREDONEOF.oneofs_by_name['foo']
_TESTREQUIREDONEOF.oneofs_by_name['foo'].fields.append(
_TESTREQUIREDONEOF.fields_by_name['foo_message'])
_TESTREQUIREDONEOF.fields_by_name['foo_message'].containing_oneof = _TESTREQUIREDONEOF.oneofs_by_name['foo']
_TESTPACKEDTYPES.fields_by_name['packed_enum'].enum_type = _FOREIGNENUM
_TESTUNPACKEDTYPES.fields_by_name['unpacked_enum'].enum_type = _FOREIGNENUM
_TESTDYNAMICEXTENSIONS_DYNAMICMESSAGETYPE.containing_type = _TESTDYNAMICEXTENSIONS
_TESTDYNAMICEXTENSIONS.fields_by_name['enum_extension'].enum_type = _FOREIGNENUM
_TESTDYNAMICEXTENSIONS.fields_by_name['dynamic_enum_extension'].enum_type = _TESTDYNAMICEXTENSIONS_DYNAMICENUMTYPE
_TESTDYNAMICEXTENSIONS.fields_by_name['message_extension'].message_type = _FOREIGNMESSAGE
_TESTDYNAMICEXTENSIONS.fields_by_name['dynamic_message_extension'].message_type = _TESTDYNAMICEXTENSIONS_DYNAMICMESSAGETYPE
_TESTDYNAMICEXTENSIONS_DYNAMICENUMTYPE.containing_type = _TESTDYNAMICEXTENSIONS
_TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR_GROUP1.fields_by_name['field1'].message_type = _TESTALLTYPES
_TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR_GROUP1.containing_type = _TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR
_TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR_GROUP2.fields_by_name['field1'].message_type = _TESTALLTYPES
_TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR_GROUP2.containing_type = _TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR
_TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR.fields_by_name['field1'].message_type = _TESTALLTYPES
_TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR.fields_by_name['field2'].message_type = _TESTALLTYPES
_TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR.fields_by_name['field3'].message_type = _TESTALLTYPES
_TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR.fields_by_name['group1'].message_type = _TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR_GROUP1
_TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR.fields_by_name['group2'].message_type = _TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR_GROUP2
_TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR.fields_by_name['ext1'].message_type = _TESTALLTYPES
_TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR.fields_by_name['ext2'].message_type = _TESTALLTYPES
_TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR.containing_type = _TESTPARSINGMERGE
_TESTPARSINGMERGE_OPTIONALGROUP.fields_by_name['optional_group_all_types'].message_type = _TESTALLTYPES
_TESTPARSINGMERGE_OPTIONALGROUP.containing_type = _TESTPARSINGMERGE
_TESTPARSINGMERGE_REPEATEDGROUP.fields_by_name['repeated_group_all_types'].message_type = _TESTALLTYPES
_TESTPARSINGMERGE_REPEATEDGROUP.containing_type = _TESTPARSINGMERGE
_TESTPARSINGMERGE.fields_by_name['required_all_types'].message_type = _TESTALLTYPES
_TESTPARSINGMERGE.fields_by_name['optional_all_types'].message_type = _TESTALLTYPES
_TESTPARSINGMERGE.fields_by_name['repeated_all_types'].message_type = _TESTALLTYPES
_TESTPARSINGMERGE.fields_by_name['optionalgroup'].message_type = _TESTPARSINGMERGE_OPTIONALGROUP
_TESTPARSINGMERGE.fields_by_name['repeatedgroup'].message_type = _TESTPARSINGMERGE_REPEATEDGROUP
_TESTHUGEFIELDNUMBERS_OPTIONALGROUP.containing_type = _TESTHUGEFIELDNUMBERS
_TESTHUGEFIELDNUMBERS_STRINGSTRINGMAPENTRY.containing_type = _TESTHUGEFIELDNUMBERS
_TESTHUGEFIELDNUMBERS.fields_by_name['optional_enum'].enum_type = _FOREIGNENUM
_TESTHUGEFIELDNUMBERS.fields_by_name['optional_message'].message_type = _FOREIGNMESSAGE
_TESTHUGEFIELDNUMBERS.fields_by_name['optionalgroup'].message_type = _TESTHUGEFIELDNUMBERS_OPTIONALGROUP
_TESTHUGEFIELDNUMBERS.fields_by_name['string_string_map'].message_type = _TESTHUGEFIELDNUMBERS_STRINGSTRINGMAPENTRY
_TESTHUGEFIELDNUMBERS.fields_by_name['oneof_test_all_types'].message_type = _TESTALLTYPES
_TESTHUGEFIELDNUMBERS.oneofs_by_name['oneof_field'].fields.append(
_TESTHUGEFIELDNUMBERS.fields_by_name['oneof_uint32'])
_TESTHUGEFIELDNUMBERS.fields_by_name['oneof_uint32'].containing_oneof = _TESTHUGEFIELDNUMBERS.oneofs_by_name['oneof_field']
_TESTHUGEFIELDNUMBERS.oneofs_by_name['oneof_field'].fields.append(
_TESTHUGEFIELDNUMBERS.fields_by_name['oneof_test_all_types'])
_TESTHUGEFIELDNUMBERS.fields_by_name['oneof_test_all_types'].containing_oneof = _TESTHUGEFIELDNUMBERS.oneofs_by_name['oneof_field']
_TESTHUGEFIELDNUMBERS.oneofs_by_name['oneof_field'].fields.append(
_TESTHUGEFIELDNUMBERS.fields_by_name['oneof_string'])
_TESTHUGEFIELDNUMBERS.fields_by_name['oneof_string'].containing_oneof = _TESTHUGEFIELDNUMBERS.oneofs_by_name['oneof_field']
_TESTHUGEFIELDNUMBERS.oneofs_by_name['oneof_field'].fields.append(
_TESTHUGEFIELDNUMBERS.fields_by_name['oneof_bytes'])
_TESTHUGEFIELDNUMBERS.fields_by_name['oneof_bytes'].containing_oneof = _TESTHUGEFIELDNUMBERS.oneofs_by_name['oneof_field']
DESCRIPTOR.message_types_by_name['TestAllTypes'] = _TESTALLTYPES
DESCRIPTOR.message_types_by_name['NestedTestAllTypes'] = _NESTEDTESTALLTYPES
DESCRIPTOR.message_types_by_name['TestDeprecatedFields'] = _TESTDEPRECATEDFIELDS
DESCRIPTOR.message_types_by_name['TestDeprecatedMessage'] = _TESTDEPRECATEDMESSAGE
DESCRIPTOR.message_types_by_name['ForeignMessage'] = _FOREIGNMESSAGE
DESCRIPTOR.message_types_by_name['TestReservedFields'] = _TESTRESERVEDFIELDS
DESCRIPTOR.message_types_by_name['TestAllExtensions'] = _TESTALLEXTENSIONS
DESCRIPTOR.message_types_by_name['OptionalGroup_extension'] = _OPTIONALGROUP_EXTENSION
DESCRIPTOR.message_types_by_name['RepeatedGroup_extension'] = _REPEATEDGROUP_EXTENSION
DESCRIPTOR.message_types_by_name['TestGroup'] = _TESTGROUP
DESCRIPTOR.message_types_by_name['TestGroupExtension'] = _TESTGROUPEXTENSION
DESCRIPTOR.message_types_by_name['TestNestedExtension'] = _TESTNESTEDEXTENSION
DESCRIPTOR.message_types_by_name['TestRequired'] = _TESTREQUIRED
DESCRIPTOR.message_types_by_name['TestRequiredForeign'] = _TESTREQUIREDFOREIGN
DESCRIPTOR.message_types_by_name['TestRequiredMessage'] = _TESTREQUIREDMESSAGE
DESCRIPTOR.message_types_by_name['TestForeignNested'] = _TESTFOREIGNNESTED
DESCRIPTOR.message_types_by_name['TestEmptyMessage'] = _TESTEMPTYMESSAGE
DESCRIPTOR.message_types_by_name['TestEmptyMessageWithExtensions'] = _TESTEMPTYMESSAGEWITHEXTENSIONS
DESCRIPTOR.message_types_by_name['TestMultipleExtensionRanges'] = _TESTMULTIPLEEXTENSIONRANGES
DESCRIPTOR.message_types_by_name['TestReallyLargeTagNumber'] = _TESTREALLYLARGETAGNUMBER
DESCRIPTOR.message_types_by_name['TestRecursiveMessage'] = _TESTRECURSIVEMESSAGE
DESCRIPTOR.message_types_by_name['TestMutualRecursionA'] = _TESTMUTUALRECURSIONA
DESCRIPTOR.message_types_by_name['TestMutualRecursionB'] = _TESTMUTUALRECURSIONB
DESCRIPTOR.message_types_by_name['TestIsInitialized'] = _TESTISINITIALIZED
DESCRIPTOR.message_types_by_name['TestDupFieldNumber'] = _TESTDUPFIELDNUMBER
DESCRIPTOR.message_types_by_name['TestEagerMessage'] = _TESTEAGERMESSAGE
DESCRIPTOR.message_types_by_name['TestLazyMessage'] = _TESTLAZYMESSAGE
DESCRIPTOR.message_types_by_name['TestNestedMessageHasBits'] = _TESTNESTEDMESSAGEHASBITS
DESCRIPTOR.message_types_by_name['TestCamelCaseFieldNames'] = _TESTCAMELCASEFIELDNAMES
DESCRIPTOR.message_types_by_name['TestFieldOrderings'] = _TESTFIELDORDERINGS
DESCRIPTOR.message_types_by_name['TestExtensionOrderings1'] = _TESTEXTENSIONORDERINGS1
DESCRIPTOR.message_types_by_name['TestExtensionOrderings2'] = _TESTEXTENSIONORDERINGS2
DESCRIPTOR.message_types_by_name['TestExtremeDefaultValues'] = _TESTEXTREMEDEFAULTVALUES
DESCRIPTOR.message_types_by_name['SparseEnumMessage'] = _SPARSEENUMMESSAGE
DESCRIPTOR.message_types_by_name['OneString'] = _ONESTRING
DESCRIPTOR.message_types_by_name['MoreString'] = _MORESTRING
DESCRIPTOR.message_types_by_name['OneBytes'] = _ONEBYTES
DESCRIPTOR.message_types_by_name['MoreBytes'] = _MOREBYTES
DESCRIPTOR.message_types_by_name['Int32Message'] = _INT32MESSAGE
DESCRIPTOR.message_types_by_name['Uint32Message'] = _UINT32MESSAGE
DESCRIPTOR.message_types_by_name['Int64Message'] = _INT64MESSAGE
DESCRIPTOR.message_types_by_name['Uint64Message'] = _UINT64MESSAGE
DESCRIPTOR.message_types_by_name['BoolMessage'] = _BOOLMESSAGE
DESCRIPTOR.message_types_by_name['TestOneof'] = _TESTONEOF
DESCRIPTOR.message_types_by_name['TestOneofBackwardsCompatible'] = _TESTONEOFBACKWARDSCOMPATIBLE
DESCRIPTOR.message_types_by_name['TestOneof2'] = _TESTONEOF2
DESCRIPTOR.message_types_by_name['TestRequiredOneof'] = _TESTREQUIREDONEOF
DESCRIPTOR.message_types_by_name['TestPackedTypes'] = _TESTPACKEDTYPES
DESCRIPTOR.message_types_by_name['TestUnpackedTypes'] = _TESTUNPACKEDTYPES
DESCRIPTOR.message_types_by_name['TestPackedExtensions'] = _TESTPACKEDEXTENSIONS
DESCRIPTOR.message_types_by_name['TestUnpackedExtensions'] = _TESTUNPACKEDEXTENSIONS
DESCRIPTOR.message_types_by_name['TestDynamicExtensions'] = _TESTDYNAMICEXTENSIONS
DESCRIPTOR.message_types_by_name['TestRepeatedScalarDifferentTagSizes'] = _TESTREPEATEDSCALARDIFFERENTTAGSIZES
DESCRIPTOR.message_types_by_name['TestParsingMerge'] = _TESTPARSINGMERGE
DESCRIPTOR.message_types_by_name['TestCommentInjectionMessage'] = _TESTCOMMENTINJECTIONMESSAGE
DESCRIPTOR.message_types_by_name['FooRequest'] = _FOOREQUEST
DESCRIPTOR.message_types_by_name['FooResponse'] = _FOORESPONSE
DESCRIPTOR.message_types_by_name['FooClientMessage'] = _FOOCLIENTMESSAGE
DESCRIPTOR.message_types_by_name['FooServerMessage'] = _FOOSERVERMESSAGE
DESCRIPTOR.message_types_by_name['BarRequest'] = _BARREQUEST
DESCRIPTOR.message_types_by_name['BarResponse'] = _BARRESPONSE
DESCRIPTOR.message_types_by_name['TestJsonName'] = _TESTJSONNAME
DESCRIPTOR.message_types_by_name['TestHugeFieldNumbers'] = _TESTHUGEFIELDNUMBERS
DESCRIPTOR.message_types_by_name['TestExtensionInsideTable'] = _TESTEXTENSIONINSIDETABLE
DESCRIPTOR.enum_types_by_name['ForeignEnum'] = _FOREIGNENUM
DESCRIPTOR.enum_types_by_name['TestEnumWithDupValue'] = _TESTENUMWITHDUPVALUE
DESCRIPTOR.enum_types_by_name['TestSparseEnum'] = _TESTSPARSEENUM
DESCRIPTOR.extensions_by_name['optional_int32_extension'] = optional_int32_extension
DESCRIPTOR.extensions_by_name['optional_int64_extension'] = optional_int64_extension
DESCRIPTOR.extensions_by_name['optional_uint32_extension'] = optional_uint32_extension
DESCRIPTOR.extensions_by_name['optional_uint64_extension'] = optional_uint64_extension
DESCRIPTOR.extensions_by_name['optional_sint32_extension'] = optional_sint32_extension
DESCRIPTOR.extensions_by_name['optional_sint64_extension'] = optional_sint64_extension
DESCRIPTOR.extensions_by_name['optional_fixed32_extension'] = optional_fixed32_extension
DESCRIPTOR.extensions_by_name['optional_fixed64_extension'] = optional_fixed64_extension
DESCRIPTOR.extensions_by_name['optional_sfixed32_extension'] = optional_sfixed32_extension
DESCRIPTOR.extensions_by_name['optional_sfixed64_extension'] = optional_sfixed64_extension
DESCRIPTOR.extensions_by_name['optional_float_extension'] = optional_float_extension
DESCRIPTOR.extensions_by_name['optional_double_extension'] = optional_double_extension
DESCRIPTOR.extensions_by_name['optional_bool_extension'] = optional_bool_extension
DESCRIPTOR.extensions_by_name['optional_string_extension'] = optional_string_extension
DESCRIPTOR.extensions_by_name['optional_bytes_extension'] = optional_bytes_extension
DESCRIPTOR.extensions_by_name['optionalgroup_extension'] = optionalgroup_extension
DESCRIPTOR.extensions_by_name['optional_nested_message_extension'] = optional_nested_message_extension
DESCRIPTOR.extensions_by_name['optional_foreign_message_extension'] = optional_foreign_message_extension
DESCRIPTOR.extensions_by_name['optional_import_message_extension'] = optional_import_message_extension
DESCRIPTOR.extensions_by_name['optional_nested_enum_extension'] = optional_nested_enum_extension
DESCRIPTOR.extensions_by_name['optional_foreign_enum_extension'] = optional_foreign_enum_extension
DESCRIPTOR.extensions_by_name['optional_import_enum_extension'] = optional_import_enum_extension
DESCRIPTOR.extensions_by_name['optional_string_piece_extension'] = optional_string_piece_extension
DESCRIPTOR.extensions_by_name['optional_cord_extension'] = optional_cord_extension
DESCRIPTOR.extensions_by_name['optional_public_import_message_extension'] = optional_public_import_message_extension
DESCRIPTOR.extensions_by_name['optional_lazy_message_extension'] = optional_lazy_message_extension
DESCRIPTOR.extensions_by_name['repeated_int32_extension'] = repeated_int32_extension
DESCRIPTOR.extensions_by_name['repeated_int64_extension'] = repeated_int64_extension
DESCRIPTOR.extensions_by_name['repeated_uint32_extension'] = repeated_uint32_extension
DESCRIPTOR.extensions_by_name['repeated_uint64_extension'] = repeated_uint64_extension
DESCRIPTOR.extensions_by_name['repeated_sint32_extension'] = repeated_sint32_extension
DESCRIPTOR.extensions_by_name['repeated_sint64_extension'] = repeated_sint64_extension
DESCRIPTOR.extensions_by_name['repeated_fixed32_extension'] = repeated_fixed32_extension
DESCRIPTOR.extensions_by_name['repeated_fixed64_extension'] = repeated_fixed64_extension
DESCRIPTOR.extensions_by_name['repeated_sfixed32_extension'] = repeated_sfixed32_extension
DESCRIPTOR.extensions_by_name['repeated_sfixed64_extension'] = repeated_sfixed64_extension
DESCRIPTOR.extensions_by_name['repeated_float_extension'] = repeated_float_extension
DESCRIPTOR.extensions_by_name['repeated_double_extension'] = repeated_double_extension
DESCRIPTOR.extensions_by_name['repeated_bool_extension'] = repeated_bool_extension
DESCRIPTOR.extensions_by_name['repeated_string_extension'] = repeated_string_extension
DESCRIPTOR.extensions_by_name['repeated_bytes_extension'] = repeated_bytes_extension
DESCRIPTOR.extensions_by_name['repeatedgroup_extension'] = repeatedgroup_extension
DESCRIPTOR.extensions_by_name['repeated_nested_message_extension'] = repeated_nested_message_extension
DESCRIPTOR.extensions_by_name['repeated_foreign_message_extension'] = repeated_foreign_message_extension
DESCRIPTOR.extensions_by_name['repeated_import_message_extension'] = repeated_import_message_extension
DESCRIPTOR.extensions_by_name['repeated_nested_enum_extension'] = repeated_nested_enum_extension
DESCRIPTOR.extensions_by_name['repeated_foreign_enum_extension'] = repeated_foreign_enum_extension
DESCRIPTOR.extensions_by_name['repeated_import_enum_extension'] = repeated_import_enum_extension
DESCRIPTOR.extensions_by_name['repeated_string_piece_extension'] = repeated_string_piece_extension
DESCRIPTOR.extensions_by_name['repeated_cord_extension'] = repeated_cord_extension
DESCRIPTOR.extensions_by_name['repeated_lazy_message_extension'] = repeated_lazy_message_extension
DESCRIPTOR.extensions_by_name['default_int32_extension'] = default_int32_extension
DESCRIPTOR.extensions_by_name['default_int64_extension'] = default_int64_extension
DESCRIPTOR.extensions_by_name['default_uint32_extension'] = default_uint32_extension
DESCRIPTOR.extensions_by_name['default_uint64_extension'] = default_uint64_extension
DESCRIPTOR.extensions_by_name['default_sint32_extension'] = default_sint32_extension
DESCRIPTOR.extensions_by_name['default_sint64_extension'] = default_sint64_extension
DESCRIPTOR.extensions_by_name['default_fixed32_extension'] = default_fixed32_extension
DESCRIPTOR.extensions_by_name['default_fixed64_extension'] = default_fixed64_extension
DESCRIPTOR.extensions_by_name['default_sfixed32_extension'] = default_sfixed32_extension
DESCRIPTOR.extensions_by_name['default_sfixed64_extension'] = default_sfixed64_extension
DESCRIPTOR.extensions_by_name['default_float_extension'] = default_float_extension
DESCRIPTOR.extensions_by_name['default_double_extension'] = default_double_extension
DESCRIPTOR.extensions_by_name['default_bool_extension'] = default_bool_extension
DESCRIPTOR.extensions_by_name['default_string_extension'] = default_string_extension
DESCRIPTOR.extensions_by_name['default_bytes_extension'] = default_bytes_extension
DESCRIPTOR.extensions_by_name['default_nested_enum_extension'] = default_nested_enum_extension
DESCRIPTOR.extensions_by_name['default_foreign_enum_extension'] = default_foreign_enum_extension
DESCRIPTOR.extensions_by_name['default_import_enum_extension'] = default_import_enum_extension
DESCRIPTOR.extensions_by_name['default_string_piece_extension'] = default_string_piece_extension
DESCRIPTOR.extensions_by_name['default_cord_extension'] = default_cord_extension
DESCRIPTOR.extensions_by_name['oneof_uint32_extension'] = oneof_uint32_extension
DESCRIPTOR.extensions_by_name['oneof_nested_message_extension'] = oneof_nested_message_extension
DESCRIPTOR.extensions_by_name['oneof_string_extension'] = oneof_string_extension
DESCRIPTOR.extensions_by_name['oneof_bytes_extension'] = oneof_bytes_extension
DESCRIPTOR.extensions_by_name['my_extension_string'] = my_extension_string
DESCRIPTOR.extensions_by_name['my_extension_int'] = my_extension_int
DESCRIPTOR.extensions_by_name['packed_int32_extension'] = packed_int32_extension
DESCRIPTOR.extensions_by_name['packed_int64_extension'] = packed_int64_extension
DESCRIPTOR.extensions_by_name['packed_uint32_extension'] = packed_uint32_extension
DESCRIPTOR.extensions_by_name['packed_uint64_extension'] = packed_uint64_extension
DESCRIPTOR.extensions_by_name['packed_sint32_extension'] = packed_sint32_extension
DESCRIPTOR.extensions_by_name['packed_sint64_extension'] = packed_sint64_extension
DESCRIPTOR.extensions_by_name['packed_fixed32_extension'] = packed_fixed32_extension
DESCRIPTOR.extensions_by_name['packed_fixed64_extension'] = packed_fixed64_extension
DESCRIPTOR.extensions_by_name['packed_sfixed32_extension'] = packed_sfixed32_extension
DESCRIPTOR.extensions_by_name['packed_sfixed64_extension'] = packed_sfixed64_extension
DESCRIPTOR.extensions_by_name['packed_float_extension'] = packed_float_extension
DESCRIPTOR.extensions_by_name['packed_double_extension'] = packed_double_extension
DESCRIPTOR.extensions_by_name['packed_bool_extension'] = packed_bool_extension
DESCRIPTOR.extensions_by_name['packed_enum_extension'] = packed_enum_extension
DESCRIPTOR.extensions_by_name['unpacked_int32_extension'] = unpacked_int32_extension
DESCRIPTOR.extensions_by_name['unpacked_int64_extension'] = unpacked_int64_extension
DESCRIPTOR.extensions_by_name['unpacked_uint32_extension'] = unpacked_uint32_extension
DESCRIPTOR.extensions_by_name['unpacked_uint64_extension'] = unpacked_uint64_extension
DESCRIPTOR.extensions_by_name['unpacked_sint32_extension'] = unpacked_sint32_extension
DESCRIPTOR.extensions_by_name['unpacked_sint64_extension'] = unpacked_sint64_extension
DESCRIPTOR.extensions_by_name['unpacked_fixed32_extension'] = unpacked_fixed32_extension
DESCRIPTOR.extensions_by_name['unpacked_fixed64_extension'] = unpacked_fixed64_extension
DESCRIPTOR.extensions_by_name['unpacked_sfixed32_extension'] = unpacked_sfixed32_extension
DESCRIPTOR.extensions_by_name['unpacked_sfixed64_extension'] = unpacked_sfixed64_extension
DESCRIPTOR.extensions_by_name['unpacked_float_extension'] = unpacked_float_extension
DESCRIPTOR.extensions_by_name['unpacked_double_extension'] = unpacked_double_extension
DESCRIPTOR.extensions_by_name['unpacked_bool_extension'] = unpacked_bool_extension
DESCRIPTOR.extensions_by_name['unpacked_enum_extension'] = unpacked_enum_extension
DESCRIPTOR.extensions_by_name['test_all_types'] = test_all_types
DESCRIPTOR.extensions_by_name['test_extension_inside_table_extension'] = test_extension_inside_table_extension
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
TestAllTypes = _reflection.GeneratedProtocolMessageType('TestAllTypes', (_message.Message,), dict(
NestedMessage = _reflection.GeneratedProtocolMessageType('NestedMessage', (_message.Message,), dict(
DESCRIPTOR = _TESTALLTYPES_NESTEDMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestAllTypes.NestedMessage)
))
,
OptionalGroup = _reflection.GeneratedProtocolMessageType('OptionalGroup', (_message.Message,), dict(
DESCRIPTOR = _TESTALLTYPES_OPTIONALGROUP,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestAllTypes.OptionalGroup)
))
,
RepeatedGroup = _reflection.GeneratedProtocolMessageType('RepeatedGroup', (_message.Message,), dict(
DESCRIPTOR = _TESTALLTYPES_REPEATEDGROUP,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestAllTypes.RepeatedGroup)
))
,
DESCRIPTOR = _TESTALLTYPES,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestAllTypes)
))
_sym_db.RegisterMessage(TestAllTypes)
_sym_db.RegisterMessage(TestAllTypes.NestedMessage)
_sym_db.RegisterMessage(TestAllTypes.OptionalGroup)
_sym_db.RegisterMessage(TestAllTypes.RepeatedGroup)
NestedTestAllTypes = _reflection.GeneratedProtocolMessageType('NestedTestAllTypes', (_message.Message,), dict(
DESCRIPTOR = _NESTEDTESTALLTYPES,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.NestedTestAllTypes)
))
_sym_db.RegisterMessage(NestedTestAllTypes)
TestDeprecatedFields = _reflection.GeneratedProtocolMessageType('TestDeprecatedFields', (_message.Message,), dict(
DESCRIPTOR = _TESTDEPRECATEDFIELDS,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestDeprecatedFields)
))
_sym_db.RegisterMessage(TestDeprecatedFields)
TestDeprecatedMessage = _reflection.GeneratedProtocolMessageType('TestDeprecatedMessage', (_message.Message,), dict(
DESCRIPTOR = _TESTDEPRECATEDMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestDeprecatedMessage)
))
_sym_db.RegisterMessage(TestDeprecatedMessage)
ForeignMessage = _reflection.GeneratedProtocolMessageType('ForeignMessage', (_message.Message,), dict(
DESCRIPTOR = _FOREIGNMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.ForeignMessage)
))
_sym_db.RegisterMessage(ForeignMessage)
TestReservedFields = _reflection.GeneratedProtocolMessageType('TestReservedFields', (_message.Message,), dict(
DESCRIPTOR = _TESTRESERVEDFIELDS,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestReservedFields)
))
_sym_db.RegisterMessage(TestReservedFields)
TestAllExtensions = _reflection.GeneratedProtocolMessageType('TestAllExtensions', (_message.Message,), dict(
DESCRIPTOR = _TESTALLEXTENSIONS,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestAllExtensions)
))
_sym_db.RegisterMessage(TestAllExtensions)
OptionalGroup_extension = _reflection.GeneratedProtocolMessageType('OptionalGroup_extension', (_message.Message,), dict(
DESCRIPTOR = _OPTIONALGROUP_EXTENSION,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.OptionalGroup_extension)
))
_sym_db.RegisterMessage(OptionalGroup_extension)
RepeatedGroup_extension = _reflection.GeneratedProtocolMessageType('RepeatedGroup_extension', (_message.Message,), dict(
DESCRIPTOR = _REPEATEDGROUP_EXTENSION,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.RepeatedGroup_extension)
))
_sym_db.RegisterMessage(RepeatedGroup_extension)
TestGroup = _reflection.GeneratedProtocolMessageType('TestGroup', (_message.Message,), dict(
OptionalGroup = _reflection.GeneratedProtocolMessageType('OptionalGroup', (_message.Message,), dict(
DESCRIPTOR = _TESTGROUP_OPTIONALGROUP,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestGroup.OptionalGroup)
))
,
DESCRIPTOR = _TESTGROUP,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestGroup)
))
_sym_db.RegisterMessage(TestGroup)
_sym_db.RegisterMessage(TestGroup.OptionalGroup)
TestGroupExtension = _reflection.GeneratedProtocolMessageType('TestGroupExtension', (_message.Message,), dict(
DESCRIPTOR = _TESTGROUPEXTENSION,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestGroupExtension)
))
_sym_db.RegisterMessage(TestGroupExtension)
TestNestedExtension = _reflection.GeneratedProtocolMessageType('TestNestedExtension', (_message.Message,), dict(
OptionalGroup_extension = _reflection.GeneratedProtocolMessageType('OptionalGroup_extension', (_message.Message,), dict(
DESCRIPTOR = _TESTNESTEDEXTENSION_OPTIONALGROUP_EXTENSION,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestNestedExtension.OptionalGroup_extension)
))
,
DESCRIPTOR = _TESTNESTEDEXTENSION,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestNestedExtension)
))
_sym_db.RegisterMessage(TestNestedExtension)
_sym_db.RegisterMessage(TestNestedExtension.OptionalGroup_extension)
TestRequired = _reflection.GeneratedProtocolMessageType('TestRequired', (_message.Message,), dict(
DESCRIPTOR = _TESTREQUIRED,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestRequired)
))
_sym_db.RegisterMessage(TestRequired)
TestRequiredForeign = _reflection.GeneratedProtocolMessageType('TestRequiredForeign', (_message.Message,), dict(
DESCRIPTOR = _TESTREQUIREDFOREIGN,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestRequiredForeign)
))
_sym_db.RegisterMessage(TestRequiredForeign)
TestRequiredMessage = _reflection.GeneratedProtocolMessageType('TestRequiredMessage', (_message.Message,), dict(
DESCRIPTOR = _TESTREQUIREDMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestRequiredMessage)
))
_sym_db.RegisterMessage(TestRequiredMessage)
TestForeignNested = _reflection.GeneratedProtocolMessageType('TestForeignNested', (_message.Message,), dict(
DESCRIPTOR = _TESTFOREIGNNESTED,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestForeignNested)
))
_sym_db.RegisterMessage(TestForeignNested)
TestEmptyMessage = _reflection.GeneratedProtocolMessageType('TestEmptyMessage', (_message.Message,), dict(
DESCRIPTOR = _TESTEMPTYMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestEmptyMessage)
))
_sym_db.RegisterMessage(TestEmptyMessage)
TestEmptyMessageWithExtensions = _reflection.GeneratedProtocolMessageType('TestEmptyMessageWithExtensions', (_message.Message,), dict(
DESCRIPTOR = _TESTEMPTYMESSAGEWITHEXTENSIONS,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestEmptyMessageWithExtensions)
))
_sym_db.RegisterMessage(TestEmptyMessageWithExtensions)
TestMultipleExtensionRanges = _reflection.GeneratedProtocolMessageType('TestMultipleExtensionRanges', (_message.Message,), dict(
DESCRIPTOR = _TESTMULTIPLEEXTENSIONRANGES,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestMultipleExtensionRanges)
))
_sym_db.RegisterMessage(TestMultipleExtensionRanges)
TestReallyLargeTagNumber = _reflection.GeneratedProtocolMessageType('TestReallyLargeTagNumber', (_message.Message,), dict(
DESCRIPTOR = _TESTREALLYLARGETAGNUMBER,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestReallyLargeTagNumber)
))
_sym_db.RegisterMessage(TestReallyLargeTagNumber)
TestRecursiveMessage = _reflection.GeneratedProtocolMessageType('TestRecursiveMessage', (_message.Message,), dict(
DESCRIPTOR = _TESTRECURSIVEMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestRecursiveMessage)
))
_sym_db.RegisterMessage(TestRecursiveMessage)
TestMutualRecursionA = _reflection.GeneratedProtocolMessageType('TestMutualRecursionA', (_message.Message,), dict(
SubMessage = _reflection.GeneratedProtocolMessageType('SubMessage', (_message.Message,), dict(
DESCRIPTOR = _TESTMUTUALRECURSIONA_SUBMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestMutualRecursionA.SubMessage)
))
,
SubGroup = _reflection.GeneratedProtocolMessageType('SubGroup', (_message.Message,), dict(
DESCRIPTOR = _TESTMUTUALRECURSIONA_SUBGROUP,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestMutualRecursionA.SubGroup)
))
,
DESCRIPTOR = _TESTMUTUALRECURSIONA,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestMutualRecursionA)
))
_sym_db.RegisterMessage(TestMutualRecursionA)
_sym_db.RegisterMessage(TestMutualRecursionA.SubMessage)
_sym_db.RegisterMessage(TestMutualRecursionA.SubGroup)
TestMutualRecursionB = _reflection.GeneratedProtocolMessageType('TestMutualRecursionB', (_message.Message,), dict(
DESCRIPTOR = _TESTMUTUALRECURSIONB,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestMutualRecursionB)
))
_sym_db.RegisterMessage(TestMutualRecursionB)
TestIsInitialized = _reflection.GeneratedProtocolMessageType('TestIsInitialized', (_message.Message,), dict(
SubMessage = _reflection.GeneratedProtocolMessageType('SubMessage', (_message.Message,), dict(
SubGroup = _reflection.GeneratedProtocolMessageType('SubGroup', (_message.Message,), dict(
DESCRIPTOR = _TESTISINITIALIZED_SUBMESSAGE_SUBGROUP,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestIsInitialized.SubMessage.SubGroup)
))
,
DESCRIPTOR = _TESTISINITIALIZED_SUBMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestIsInitialized.SubMessage)
))
,
DESCRIPTOR = _TESTISINITIALIZED,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestIsInitialized)
))
_sym_db.RegisterMessage(TestIsInitialized)
_sym_db.RegisterMessage(TestIsInitialized.SubMessage)
_sym_db.RegisterMessage(TestIsInitialized.SubMessage.SubGroup)
TestDupFieldNumber = _reflection.GeneratedProtocolMessageType('TestDupFieldNumber', (_message.Message,), dict(
Foo = _reflection.GeneratedProtocolMessageType('Foo', (_message.Message,), dict(
DESCRIPTOR = _TESTDUPFIELDNUMBER_FOO,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestDupFieldNumber.Foo)
))
,
Bar = _reflection.GeneratedProtocolMessageType('Bar', (_message.Message,), dict(
DESCRIPTOR = _TESTDUPFIELDNUMBER_BAR,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestDupFieldNumber.Bar)
))
,
DESCRIPTOR = _TESTDUPFIELDNUMBER,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestDupFieldNumber)
))
_sym_db.RegisterMessage(TestDupFieldNumber)
_sym_db.RegisterMessage(TestDupFieldNumber.Foo)
_sym_db.RegisterMessage(TestDupFieldNumber.Bar)
TestEagerMessage = _reflection.GeneratedProtocolMessageType('TestEagerMessage', (_message.Message,), dict(
DESCRIPTOR = _TESTEAGERMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestEagerMessage)
))
_sym_db.RegisterMessage(TestEagerMessage)
TestLazyMessage = _reflection.GeneratedProtocolMessageType('TestLazyMessage', (_message.Message,), dict(
DESCRIPTOR = _TESTLAZYMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestLazyMessage)
))
_sym_db.RegisterMessage(TestLazyMessage)
TestNestedMessageHasBits = _reflection.GeneratedProtocolMessageType('TestNestedMessageHasBits', (_message.Message,), dict(
NestedMessage = _reflection.GeneratedProtocolMessageType('NestedMessage', (_message.Message,), dict(
DESCRIPTOR = _TESTNESTEDMESSAGEHASBITS_NESTEDMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestNestedMessageHasBits.NestedMessage)
))
,
DESCRIPTOR = _TESTNESTEDMESSAGEHASBITS,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestNestedMessageHasBits)
))
_sym_db.RegisterMessage(TestNestedMessageHasBits)
_sym_db.RegisterMessage(TestNestedMessageHasBits.NestedMessage)
TestCamelCaseFieldNames = _reflection.GeneratedProtocolMessageType('TestCamelCaseFieldNames', (_message.Message,), dict(
DESCRIPTOR = _TESTCAMELCASEFIELDNAMES,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestCamelCaseFieldNames)
))
_sym_db.RegisterMessage(TestCamelCaseFieldNames)
TestFieldOrderings = _reflection.GeneratedProtocolMessageType('TestFieldOrderings', (_message.Message,), dict(
NestedMessage = _reflection.GeneratedProtocolMessageType('NestedMessage', (_message.Message,), dict(
DESCRIPTOR = _TESTFIELDORDERINGS_NESTEDMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestFieldOrderings.NestedMessage)
))
,
DESCRIPTOR = _TESTFIELDORDERINGS,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestFieldOrderings)
))
_sym_db.RegisterMessage(TestFieldOrderings)
_sym_db.RegisterMessage(TestFieldOrderings.NestedMessage)
TestExtensionOrderings1 = _reflection.GeneratedProtocolMessageType('TestExtensionOrderings1', (_message.Message,), dict(
DESCRIPTOR = _TESTEXTENSIONORDERINGS1,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestExtensionOrderings1)
))
_sym_db.RegisterMessage(TestExtensionOrderings1)
TestExtensionOrderings2 = _reflection.GeneratedProtocolMessageType('TestExtensionOrderings2', (_message.Message,), dict(
TestExtensionOrderings3 = _reflection.GeneratedProtocolMessageType('TestExtensionOrderings3', (_message.Message,), dict(
DESCRIPTOR = _TESTEXTENSIONORDERINGS2_TESTEXTENSIONORDERINGS3,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestExtensionOrderings2.TestExtensionOrderings3)
))
,
DESCRIPTOR = _TESTEXTENSIONORDERINGS2,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestExtensionOrderings2)
))
_sym_db.RegisterMessage(TestExtensionOrderings2)
_sym_db.RegisterMessage(TestExtensionOrderings2.TestExtensionOrderings3)
TestExtremeDefaultValues = _reflection.GeneratedProtocolMessageType('TestExtremeDefaultValues', (_message.Message,), dict(
DESCRIPTOR = _TESTEXTREMEDEFAULTVALUES,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestExtremeDefaultValues)
))
_sym_db.RegisterMessage(TestExtremeDefaultValues)
SparseEnumMessage = _reflection.GeneratedProtocolMessageType('SparseEnumMessage', (_message.Message,), dict(
DESCRIPTOR = _SPARSEENUMMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.SparseEnumMessage)
))
_sym_db.RegisterMessage(SparseEnumMessage)
OneString = _reflection.GeneratedProtocolMessageType('OneString', (_message.Message,), dict(
DESCRIPTOR = _ONESTRING,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.OneString)
))
_sym_db.RegisterMessage(OneString)
MoreString = _reflection.GeneratedProtocolMessageType('MoreString', (_message.Message,), dict(
DESCRIPTOR = _MORESTRING,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.MoreString)
))
_sym_db.RegisterMessage(MoreString)
OneBytes = _reflection.GeneratedProtocolMessageType('OneBytes', (_message.Message,), dict(
DESCRIPTOR = _ONEBYTES,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.OneBytes)
))
_sym_db.RegisterMessage(OneBytes)
MoreBytes = _reflection.GeneratedProtocolMessageType('MoreBytes', (_message.Message,), dict(
DESCRIPTOR = _MOREBYTES,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.MoreBytes)
))
_sym_db.RegisterMessage(MoreBytes)
Int32Message = _reflection.GeneratedProtocolMessageType('Int32Message', (_message.Message,), dict(
DESCRIPTOR = _INT32MESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.Int32Message)
))
_sym_db.RegisterMessage(Int32Message)
Uint32Message = _reflection.GeneratedProtocolMessageType('Uint32Message', (_message.Message,), dict(
DESCRIPTOR = _UINT32MESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.Uint32Message)
))
_sym_db.RegisterMessage(Uint32Message)
Int64Message = _reflection.GeneratedProtocolMessageType('Int64Message', (_message.Message,), dict(
DESCRIPTOR = _INT64MESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.Int64Message)
))
_sym_db.RegisterMessage(Int64Message)
Uint64Message = _reflection.GeneratedProtocolMessageType('Uint64Message', (_message.Message,), dict(
DESCRIPTOR = _UINT64MESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.Uint64Message)
))
_sym_db.RegisterMessage(Uint64Message)
BoolMessage = _reflection.GeneratedProtocolMessageType('BoolMessage', (_message.Message,), dict(
DESCRIPTOR = _BOOLMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.BoolMessage)
))
_sym_db.RegisterMessage(BoolMessage)
TestOneof = _reflection.GeneratedProtocolMessageType('TestOneof', (_message.Message,), dict(
FooGroup = _reflection.GeneratedProtocolMessageType('FooGroup', (_message.Message,), dict(
DESCRIPTOR = _TESTONEOF_FOOGROUP,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestOneof.FooGroup)
))
,
DESCRIPTOR = _TESTONEOF,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestOneof)
))
_sym_db.RegisterMessage(TestOneof)
_sym_db.RegisterMessage(TestOneof.FooGroup)
TestOneofBackwardsCompatible = _reflection.GeneratedProtocolMessageType('TestOneofBackwardsCompatible', (_message.Message,), dict(
FooGroup = _reflection.GeneratedProtocolMessageType('FooGroup', (_message.Message,), dict(
DESCRIPTOR = _TESTONEOFBACKWARDSCOMPATIBLE_FOOGROUP,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestOneofBackwardsCompatible.FooGroup)
))
,
DESCRIPTOR = _TESTONEOFBACKWARDSCOMPATIBLE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestOneofBackwardsCompatible)
))
_sym_db.RegisterMessage(TestOneofBackwardsCompatible)
_sym_db.RegisterMessage(TestOneofBackwardsCompatible.FooGroup)
TestOneof2 = _reflection.GeneratedProtocolMessageType('TestOneof2', (_message.Message,), dict(
FooGroup = _reflection.GeneratedProtocolMessageType('FooGroup', (_message.Message,), dict(
DESCRIPTOR = _TESTONEOF2_FOOGROUP,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestOneof2.FooGroup)
))
,
NestedMessage = _reflection.GeneratedProtocolMessageType('NestedMessage', (_message.Message,), dict(
DESCRIPTOR = _TESTONEOF2_NESTEDMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestOneof2.NestedMessage)
))
,
DESCRIPTOR = _TESTONEOF2,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestOneof2)
))
_sym_db.RegisterMessage(TestOneof2)
_sym_db.RegisterMessage(TestOneof2.FooGroup)
_sym_db.RegisterMessage(TestOneof2.NestedMessage)
TestRequiredOneof = _reflection.GeneratedProtocolMessageType('TestRequiredOneof', (_message.Message,), dict(
NestedMessage = _reflection.GeneratedProtocolMessageType('NestedMessage', (_message.Message,), dict(
DESCRIPTOR = _TESTREQUIREDONEOF_NESTEDMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestRequiredOneof.NestedMessage)
))
,
DESCRIPTOR = _TESTREQUIREDONEOF,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestRequiredOneof)
))
_sym_db.RegisterMessage(TestRequiredOneof)
_sym_db.RegisterMessage(TestRequiredOneof.NestedMessage)
TestPackedTypes = _reflection.GeneratedProtocolMessageType('TestPackedTypes', (_message.Message,), dict(
DESCRIPTOR = _TESTPACKEDTYPES,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestPackedTypes)
))
_sym_db.RegisterMessage(TestPackedTypes)
TestUnpackedTypes = _reflection.GeneratedProtocolMessageType('TestUnpackedTypes', (_message.Message,), dict(
DESCRIPTOR = _TESTUNPACKEDTYPES,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestUnpackedTypes)
))
_sym_db.RegisterMessage(TestUnpackedTypes)
TestPackedExtensions = _reflection.GeneratedProtocolMessageType('TestPackedExtensions', (_message.Message,), dict(
DESCRIPTOR = _TESTPACKEDEXTENSIONS,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestPackedExtensions)
))
_sym_db.RegisterMessage(TestPackedExtensions)
TestUnpackedExtensions = _reflection.GeneratedProtocolMessageType('TestUnpackedExtensions', (_message.Message,), dict(
DESCRIPTOR = _TESTUNPACKEDEXTENSIONS,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestUnpackedExtensions)
))
_sym_db.RegisterMessage(TestUnpackedExtensions)
TestDynamicExtensions = _reflection.GeneratedProtocolMessageType('TestDynamicExtensions', (_message.Message,), dict(
DynamicMessageType = _reflection.GeneratedProtocolMessageType('DynamicMessageType', (_message.Message,), dict(
DESCRIPTOR = _TESTDYNAMICEXTENSIONS_DYNAMICMESSAGETYPE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestDynamicExtensions.DynamicMessageType)
))
,
DESCRIPTOR = _TESTDYNAMICEXTENSIONS,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestDynamicExtensions)
))
_sym_db.RegisterMessage(TestDynamicExtensions)
_sym_db.RegisterMessage(TestDynamicExtensions.DynamicMessageType)
TestRepeatedScalarDifferentTagSizes = _reflection.GeneratedProtocolMessageType('TestRepeatedScalarDifferentTagSizes', (_message.Message,), dict(
DESCRIPTOR = _TESTREPEATEDSCALARDIFFERENTTAGSIZES,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestRepeatedScalarDifferentTagSizes)
))
_sym_db.RegisterMessage(TestRepeatedScalarDifferentTagSizes)
TestParsingMerge = _reflection.GeneratedProtocolMessageType('TestParsingMerge', (_message.Message,), dict(
RepeatedFieldsGenerator = _reflection.GeneratedProtocolMessageType('RepeatedFieldsGenerator', (_message.Message,), dict(
Group1 = _reflection.GeneratedProtocolMessageType('Group1', (_message.Message,), dict(
DESCRIPTOR = _TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR_GROUP1,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestParsingMerge.RepeatedFieldsGenerator.Group1)
))
,
Group2 = _reflection.GeneratedProtocolMessageType('Group2', (_message.Message,), dict(
DESCRIPTOR = _TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR_GROUP2,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestParsingMerge.RepeatedFieldsGenerator.Group2)
))
,
DESCRIPTOR = _TESTPARSINGMERGE_REPEATEDFIELDSGENERATOR,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestParsingMerge.RepeatedFieldsGenerator)
))
,
OptionalGroup = _reflection.GeneratedProtocolMessageType('OptionalGroup', (_message.Message,), dict(
DESCRIPTOR = _TESTPARSINGMERGE_OPTIONALGROUP,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestParsingMerge.OptionalGroup)
))
,
RepeatedGroup = _reflection.GeneratedProtocolMessageType('RepeatedGroup', (_message.Message,), dict(
DESCRIPTOR = _TESTPARSINGMERGE_REPEATEDGROUP,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestParsingMerge.RepeatedGroup)
))
,
DESCRIPTOR = _TESTPARSINGMERGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestParsingMerge)
))
_sym_db.RegisterMessage(TestParsingMerge)
_sym_db.RegisterMessage(TestParsingMerge.RepeatedFieldsGenerator)
_sym_db.RegisterMessage(TestParsingMerge.RepeatedFieldsGenerator.Group1)
_sym_db.RegisterMessage(TestParsingMerge.RepeatedFieldsGenerator.Group2)
_sym_db.RegisterMessage(TestParsingMerge.OptionalGroup)
_sym_db.RegisterMessage(TestParsingMerge.RepeatedGroup)
TestCommentInjectionMessage = _reflection.GeneratedProtocolMessageType('TestCommentInjectionMessage', (_message.Message,), dict(
DESCRIPTOR = _TESTCOMMENTINJECTIONMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestCommentInjectionMessage)
))
_sym_db.RegisterMessage(TestCommentInjectionMessage)
FooRequest = _reflection.GeneratedProtocolMessageType('FooRequest', (_message.Message,), dict(
DESCRIPTOR = _FOOREQUEST,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.FooRequest)
))
_sym_db.RegisterMessage(FooRequest)
FooResponse = _reflection.GeneratedProtocolMessageType('FooResponse', (_message.Message,), dict(
DESCRIPTOR = _FOORESPONSE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.FooResponse)
))
_sym_db.RegisterMessage(FooResponse)
FooClientMessage = _reflection.GeneratedProtocolMessageType('FooClientMessage', (_message.Message,), dict(
DESCRIPTOR = _FOOCLIENTMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.FooClientMessage)
))
_sym_db.RegisterMessage(FooClientMessage)
FooServerMessage = _reflection.GeneratedProtocolMessageType('FooServerMessage', (_message.Message,), dict(
DESCRIPTOR = _FOOSERVERMESSAGE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.FooServerMessage)
))
_sym_db.RegisterMessage(FooServerMessage)
BarRequest = _reflection.GeneratedProtocolMessageType('BarRequest', (_message.Message,), dict(
DESCRIPTOR = _BARREQUEST,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.BarRequest)
))
_sym_db.RegisterMessage(BarRequest)
BarResponse = _reflection.GeneratedProtocolMessageType('BarResponse', (_message.Message,), dict(
DESCRIPTOR = _BARRESPONSE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.BarResponse)
))
_sym_db.RegisterMessage(BarResponse)
TestJsonName = _reflection.GeneratedProtocolMessageType('TestJsonName', (_message.Message,), dict(
DESCRIPTOR = _TESTJSONNAME,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestJsonName)
))
_sym_db.RegisterMessage(TestJsonName)
TestHugeFieldNumbers = _reflection.GeneratedProtocolMessageType('TestHugeFieldNumbers', (_message.Message,), dict(
OptionalGroup = _reflection.GeneratedProtocolMessageType('OptionalGroup', (_message.Message,), dict(
DESCRIPTOR = _TESTHUGEFIELDNUMBERS_OPTIONALGROUP,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestHugeFieldNumbers.OptionalGroup)
))
,
StringStringMapEntry = _reflection.GeneratedProtocolMessageType('StringStringMapEntry', (_message.Message,), dict(
DESCRIPTOR = _TESTHUGEFIELDNUMBERS_STRINGSTRINGMAPENTRY,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestHugeFieldNumbers.StringStringMapEntry)
))
,
DESCRIPTOR = _TESTHUGEFIELDNUMBERS,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestHugeFieldNumbers)
))
_sym_db.RegisterMessage(TestHugeFieldNumbers)
_sym_db.RegisterMessage(TestHugeFieldNumbers.OptionalGroup)
_sym_db.RegisterMessage(TestHugeFieldNumbers.StringStringMapEntry)
TestExtensionInsideTable = _reflection.GeneratedProtocolMessageType('TestExtensionInsideTable', (_message.Message,), dict(
DESCRIPTOR = _TESTEXTENSIONINSIDETABLE,
__module__ = 'google.protobuf.unittest_pb2'
# @@protoc_insertion_point(class_scope:protobuf_unittest.TestExtensionInsideTable)
))
_sym_db.RegisterMessage(TestExtensionInsideTable)
TestAllExtensions.RegisterExtension(optional_int32_extension)
TestAllExtensions.RegisterExtension(optional_int64_extension)
TestAllExtensions.RegisterExtension(optional_uint32_extension)
TestAllExtensions.RegisterExtension(optional_uint64_extension)
TestAllExtensions.RegisterExtension(optional_sint32_extension)
TestAllExtensions.RegisterExtension(optional_sint64_extension)
TestAllExtensions.RegisterExtension(optional_fixed32_extension)
TestAllExtensions.RegisterExtension(optional_fixed64_extension)
TestAllExtensions.RegisterExtension(optional_sfixed32_extension)
TestAllExtensions.RegisterExtension(optional_sfixed64_extension)
TestAllExtensions.RegisterExtension(optional_float_extension)
TestAllExtensions.RegisterExtension(optional_double_extension)
TestAllExtensions.RegisterExtension(optional_bool_extension)
TestAllExtensions.RegisterExtension(optional_string_extension)
TestAllExtensions.RegisterExtension(optional_bytes_extension)
optionalgroup_extension.message_type = _OPTIONALGROUP_EXTENSION
TestAllExtensions.RegisterExtension(optionalgroup_extension)
optional_nested_message_extension.message_type = _TESTALLTYPES_NESTEDMESSAGE
TestAllExtensions.RegisterExtension(optional_nested_message_extension)
optional_foreign_message_extension.message_type = _FOREIGNMESSAGE
TestAllExtensions.RegisterExtension(optional_foreign_message_extension)
optional_import_message_extension.message_type = google_dot_protobuf_dot_unittest__import__pb2._IMPORTMESSAGE
TestAllExtensions.RegisterExtension(optional_import_message_extension)
optional_nested_enum_extension.enum_type = _TESTALLTYPES_NESTEDENUM
TestAllExtensions.RegisterExtension(optional_nested_enum_extension)
optional_foreign_enum_extension.enum_type = _FOREIGNENUM
TestAllExtensions.RegisterExtension(optional_foreign_enum_extension)
optional_import_enum_extension.enum_type = google_dot_protobuf_dot_unittest__import__pb2._IMPORTENUM
TestAllExtensions.RegisterExtension(optional_import_enum_extension)
TestAllExtensions.RegisterExtension(optional_string_piece_extension)
TestAllExtensions.RegisterExtension(optional_cord_extension)
optional_public_import_message_extension.message_type = google_dot_protobuf_dot_unittest__import__public__pb2._PUBLICIMPORTMESSAGE
TestAllExtensions.RegisterExtension(optional_public_import_message_extension)
optional_lazy_message_extension.message_type = _TESTALLTYPES_NESTEDMESSAGE
TestAllExtensions.RegisterExtension(optional_lazy_message_extension)
TestAllExtensions.RegisterExtension(repeated_int32_extension)
TestAllExtensions.RegisterExtension(repeated_int64_extension)
TestAllExtensions.RegisterExtension(repeated_uint32_extension)
TestAllExtensions.RegisterExtension(repeated_uint64_extension)
TestAllExtensions.RegisterExtension(repeated_sint32_extension)
TestAllExtensions.RegisterExtension(repeated_sint64_extension)
TestAllExtensions.RegisterExtension(repeated_fixed32_extension)
TestAllExtensions.RegisterExtension(repeated_fixed64_extension)
TestAllExtensions.RegisterExtension(repeated_sfixed32_extension)
TestAllExtensions.RegisterExtension(repeated_sfixed64_extension)
TestAllExtensions.RegisterExtension(repeated_float_extension)
TestAllExtensions.RegisterExtension(repeated_double_extension)
TestAllExtensions.RegisterExtension(repeated_bool_extension)
TestAllExtensions.RegisterExtension(repeated_string_extension)
TestAllExtensions.RegisterExtension(repeated_bytes_extension)
repeatedgroup_extension.message_type = _REPEATEDGROUP_EXTENSION
TestAllExtensions.RegisterExtension(repeatedgroup_extension)
repeated_nested_message_extension.message_type = _TESTALLTYPES_NESTEDMESSAGE
TestAllExtensions.RegisterExtension(repeated_nested_message_extension)
repeated_foreign_message_extension.message_type = _FOREIGNMESSAGE
TestAllExtensions.RegisterExtension(repeated_foreign_message_extension)
repeated_import_message_extension.message_type = google_dot_protobuf_dot_unittest__import__pb2._IMPORTMESSAGE
TestAllExtensions.RegisterExtension(repeated_import_message_extension)
repeated_nested_enum_extension.enum_type = _TESTALLTYPES_NESTEDENUM
TestAllExtensions.RegisterExtension(repeated_nested_enum_extension)
repeated_foreign_enum_extension.enum_type = _FOREIGNENUM
TestAllExtensions.RegisterExtension(repeated_foreign_enum_extension)
repeated_import_enum_extension.enum_type = google_dot_protobuf_dot_unittest__import__pb2._IMPORTENUM
TestAllExtensions.RegisterExtension(repeated_import_enum_extension)
TestAllExtensions.RegisterExtension(repeated_string_piece_extension)
TestAllExtensions.RegisterExtension(repeated_cord_extension)
repeated_lazy_message_extension.message_type = _TESTALLTYPES_NESTEDMESSAGE
TestAllExtensions.RegisterExtension(repeated_lazy_message_extension)
TestAllExtensions.RegisterExtension(default_int32_extension)
TestAllExtensions.RegisterExtension(default_int64_extension)
TestAllExtensions.RegisterExtension(default_uint32_extension)
TestAllExtensions.RegisterExtension(default_uint64_extension)
TestAllExtensions.RegisterExtension(default_sint32_extension)
TestAllExtensions.RegisterExtension(default_sint64_extension)
TestAllExtensions.RegisterExtension(default_fixed32_extension)
TestAllExtensions.RegisterExtension(default_fixed64_extension)
TestAllExtensions.RegisterExtension(default_sfixed32_extension)
TestAllExtensions.RegisterExtension(default_sfixed64_extension)
TestAllExtensions.RegisterExtension(default_float_extension)
TestAllExtensions.RegisterExtension(default_double_extension)
TestAllExtensions.RegisterExtension(default_bool_extension)
TestAllExtensions.RegisterExtension(default_string_extension)
TestAllExtensions.RegisterExtension(default_bytes_extension)
default_nested_enum_extension.enum_type = _TESTALLTYPES_NESTEDENUM
TestAllExtensions.RegisterExtension(default_nested_enum_extension)
default_foreign_enum_extension.enum_type = _FOREIGNENUM
TestAllExtensions.RegisterExtension(default_foreign_enum_extension)
default_import_enum_extension.enum_type = google_dot_protobuf_dot_unittest__import__pb2._IMPORTENUM
TestAllExtensions.RegisterExtension(default_import_enum_extension)
TestAllExtensions.RegisterExtension(default_string_piece_extension)
TestAllExtensions.RegisterExtension(default_cord_extension)
TestAllExtensions.RegisterExtension(oneof_uint32_extension)
oneof_nested_message_extension.message_type = _TESTALLTYPES_NESTEDMESSAGE
TestAllExtensions.RegisterExtension(oneof_nested_message_extension)
TestAllExtensions.RegisterExtension(oneof_string_extension)
TestAllExtensions.RegisterExtension(oneof_bytes_extension)
TestFieldOrderings.RegisterExtension(my_extension_string)
TestFieldOrderings.RegisterExtension(my_extension_int)
TestPackedExtensions.RegisterExtension(packed_int32_extension)
TestPackedExtensions.RegisterExtension(packed_int64_extension)
TestPackedExtensions.RegisterExtension(packed_uint32_extension)
TestPackedExtensions.RegisterExtension(packed_uint64_extension)
TestPackedExtensions.RegisterExtension(packed_sint32_extension)
TestPackedExtensions.RegisterExtension(packed_sint64_extension)
TestPackedExtensions.RegisterExtension(packed_fixed32_extension)
TestPackedExtensions.RegisterExtension(packed_fixed64_extension)
TestPackedExtensions.RegisterExtension(packed_sfixed32_extension)
TestPackedExtensions.RegisterExtension(packed_sfixed64_extension)
TestPackedExtensions.RegisterExtension(packed_float_extension)
TestPackedExtensions.RegisterExtension(packed_double_extension)
TestPackedExtensions.RegisterExtension(packed_bool_extension)
packed_enum_extension.enum_type = _FOREIGNENUM
TestPackedExtensions.RegisterExtension(packed_enum_extension)
TestUnpackedExtensions.RegisterExtension(unpacked_int32_extension)
TestUnpackedExtensions.RegisterExtension(unpacked_int64_extension)
TestUnpackedExtensions.RegisterExtension(unpacked_uint32_extension)
TestUnpackedExtensions.RegisterExtension(unpacked_uint64_extension)
TestUnpackedExtensions.RegisterExtension(unpacked_sint32_extension)
TestUnpackedExtensions.RegisterExtension(unpacked_sint64_extension)
TestUnpackedExtensions.RegisterExtension(unpacked_fixed32_extension)
TestUnpackedExtensions.RegisterExtension(unpacked_fixed64_extension)
TestUnpackedExtensions.RegisterExtension(unpacked_sfixed32_extension)
TestUnpackedExtensions.RegisterExtension(unpacked_sfixed64_extension)
TestUnpackedExtensions.RegisterExtension(unpacked_float_extension)
TestUnpackedExtensions.RegisterExtension(unpacked_double_extension)
TestUnpackedExtensions.RegisterExtension(unpacked_bool_extension)
unpacked_enum_extension.enum_type = _FOREIGNENUM
TestUnpackedExtensions.RegisterExtension(unpacked_enum_extension)
test_all_types.message_type = _TESTALLTYPES
TestHugeFieldNumbers.RegisterExtension(test_all_types)
TestExtensionInsideTable.RegisterExtension(test_extension_inside_table_extension)
TestAllExtensions.RegisterExtension(_TESTNESTEDEXTENSION.extensions_by_name['test'])
TestAllExtensions.RegisterExtension(_TESTNESTEDEXTENSION.extensions_by_name['nested_string_extension'])
_TESTNESTEDEXTENSION.extensions_by_name['optionalgroup_extension'].message_type = _TESTNESTEDEXTENSION_OPTIONALGROUP_EXTENSION
TestGroupExtension.RegisterExtension(_TESTNESTEDEXTENSION.extensions_by_name['optionalgroup_extension'])
_TESTNESTEDEXTENSION.extensions_by_name['optional_foreign_enum_extension'].enum_type = _FOREIGNENUM
TestGroupExtension.RegisterExtension(_TESTNESTEDEXTENSION.extensions_by_name['optional_foreign_enum_extension'])
_TESTREQUIRED.extensions_by_name['single'].message_type = _TESTREQUIRED
TestAllExtensions.RegisterExtension(_TESTREQUIRED.extensions_by_name['single'])
_TESTREQUIRED.extensions_by_name['multi'].message_type = _TESTREQUIRED
TestAllExtensions.RegisterExtension(_TESTREQUIRED.extensions_by_name['multi'])
_TESTEXTENSIONORDERINGS1.extensions_by_name['test_ext_orderings1'].message_type = _TESTEXTENSIONORDERINGS1
TestFieldOrderings.RegisterExtension(_TESTEXTENSIONORDERINGS1.extensions_by_name['test_ext_orderings1'])
_TESTEXTENSIONORDERINGS2_TESTEXTENSIONORDERINGS3.extensions_by_name['test_ext_orderings3'].message_type = _TESTEXTENSIONORDERINGS2_TESTEXTENSIONORDERINGS3
TestFieldOrderings.RegisterExtension(_TESTEXTENSIONORDERINGS2_TESTEXTENSIONORDERINGS3.extensions_by_name['test_ext_orderings3'])
_TESTEXTENSIONORDERINGS2.extensions_by_name['test_ext_orderings2'].message_type = _TESTEXTENSIONORDERINGS2
TestFieldOrderings.RegisterExtension(_TESTEXTENSIONORDERINGS2.extensions_by_name['test_ext_orderings2'])
_TESTPARSINGMERGE.extensions_by_name['optional_ext'].message_type = _TESTALLTYPES
TestParsingMerge.RegisterExtension(_TESTPARSINGMERGE.extensions_by_name['optional_ext'])
_TESTPARSINGMERGE.extensions_by_name['repeated_ext'].message_type = _TESTALLTYPES
TestParsingMerge.RegisterExtension(_TESTPARSINGMERGE.extensions_by_name['repeated_ext'])
DESCRIPTOR._options = None
_TESTENUMWITHDUPVALUE._options = None
optional_string_piece_extension._options = None
optional_cord_extension._options = None
optional_lazy_message_extension._options = None
repeated_string_piece_extension._options = None
repeated_cord_extension._options = None
repeated_lazy_message_extension._options = None
default_string_piece_extension._options = None
default_cord_extension._options = None
packed_int32_extension._options = None
packed_int64_extension._options = None
packed_uint32_extension._options = None
packed_uint64_extension._options = None
packed_sint32_extension._options = None
packed_sint64_extension._options = None
packed_fixed32_extension._options = None
packed_fixed64_extension._options = None
packed_sfixed32_extension._options = None
packed_sfixed64_extension._options = None
packed_float_extension._options = None
packed_double_extension._options = None
packed_bool_extension._options = None
packed_enum_extension._options = None
unpacked_int32_extension._options = None
unpacked_int64_extension._options = None
unpacked_uint32_extension._options = None
unpacked_uint64_extension._options = None
unpacked_sint32_extension._options = None
unpacked_sint64_extension._options = None
unpacked_fixed32_extension._options = None
unpacked_fixed64_extension._options = None
unpacked_sfixed32_extension._options = None
unpacked_sfixed64_extension._options = None
unpacked_float_extension._options = None
unpacked_double_extension._options = None
unpacked_bool_extension._options = None
unpacked_enum_extension._options = None
_TESTALLTYPES.fields_by_name['optional_string_piece']._options = None
_TESTALLTYPES.fields_by_name['optional_cord']._options = None
_TESTALLTYPES.fields_by_name['optional_lazy_message']._options = None
_TESTALLTYPES.fields_by_name['repeated_string_piece']._options = None
_TESTALLTYPES.fields_by_name['repeated_cord']._options = None
_TESTALLTYPES.fields_by_name['repeated_lazy_message']._options = None
_TESTALLTYPES.fields_by_name['default_string_piece']._options = None
_TESTALLTYPES.fields_by_name['default_cord']._options = None
_TESTDEPRECATEDFIELDS.fields_by_name['deprecated_int32']._options = None
_TESTDEPRECATEDFIELDS.fields_by_name['deprecated_int32_in_oneof']._options = None
_TESTDEPRECATEDMESSAGE._options = None
_TESTEAGERMESSAGE.fields_by_name['sub_message']._options = None
_TESTLAZYMESSAGE.fields_by_name['sub_message']._options = None
_TESTCAMELCASEFIELDNAMES.fields_by_name['StringPieceField']._options = None
_TESTCAMELCASEFIELDNAMES.fields_by_name['CordField']._options = None
_TESTCAMELCASEFIELDNAMES.fields_by_name['RepeatedStringPieceField']._options = None
_TESTCAMELCASEFIELDNAMES.fields_by_name['RepeatedCordField']._options = None
_TESTEXTREMEDEFAULTVALUES.fields_by_name['string_piece_with_zero']._options = None
_TESTEXTREMEDEFAULTVALUES.fields_by_name['cord_with_zero']._options = None
_TESTONEOF2.fields_by_name['foo_cord']._options = None
_TESTONEOF2.fields_by_name['foo_string_piece']._options = None
_TESTONEOF2.fields_by_name['foo_lazy_message']._options = None
_TESTONEOF2.fields_by_name['bar_cord']._options = None
_TESTONEOF2.fields_by_name['bar_string_piece']._options = None
_TESTPACKEDTYPES.fields_by_name['packed_int32']._options = None
_TESTPACKEDTYPES.fields_by_name['packed_int64']._options = None
_TESTPACKEDTYPES.fields_by_name['packed_uint32']._options = None
_TESTPACKEDTYPES.fields_by_name['packed_uint64']._options = None
_TESTPACKEDTYPES.fields_by_name['packed_sint32']._options = None
_TESTPACKEDTYPES.fields_by_name['packed_sint64']._options = None
_TESTPACKEDTYPES.fields_by_name['packed_fixed32']._options = None
_TESTPACKEDTYPES.fields_by_name['packed_fixed64']._options = None
_TESTPACKEDTYPES.fields_by_name['packed_sfixed32']._options = None
_TESTPACKEDTYPES.fields_by_name['packed_sfixed64']._options = None
_TESTPACKEDTYPES.fields_by_name['packed_float']._options = None
_TESTPACKEDTYPES.fields_by_name['packed_double']._options = None
_TESTPACKEDTYPES.fields_by_name['packed_bool']._options = None
_TESTPACKEDTYPES.fields_by_name['packed_enum']._options = None
_TESTUNPACKEDTYPES.fields_by_name['unpacked_int32']._options = None
_TESTUNPACKEDTYPES.fields_by_name['unpacked_int64']._options = None
_TESTUNPACKEDTYPES.fields_by_name['unpacked_uint32']._options = None
_TESTUNPACKEDTYPES.fields_by_name['unpacked_uint64']._options = None
_TESTUNPACKEDTYPES.fields_by_name['unpacked_sint32']._options = None
_TESTUNPACKEDTYPES.fields_by_name['unpacked_sint64']._options = None
_TESTUNPACKEDTYPES.fields_by_name['unpacked_fixed32']._options = None
_TESTUNPACKEDTYPES.fields_by_name['unpacked_fixed64']._options = None
_TESTUNPACKEDTYPES.fields_by_name['unpacked_sfixed32']._options = None
_TESTUNPACKEDTYPES.fields_by_name['unpacked_sfixed64']._options = None
_TESTUNPACKEDTYPES.fields_by_name['unpacked_float']._options = None
_TESTUNPACKEDTYPES.fields_by_name['unpacked_double']._options = None
_TESTUNPACKEDTYPES.fields_by_name['unpacked_bool']._options = None
_TESTUNPACKEDTYPES.fields_by_name['unpacked_enum']._options = None
_TESTDYNAMICEXTENSIONS.fields_by_name['packed_extension']._options = None
_TESTHUGEFIELDNUMBERS_STRINGSTRINGMAPENTRY._options = None
_TESTHUGEFIELDNUMBERS.fields_by_name['repeated_int32']._options = None
_TESTHUGEFIELDNUMBERS.fields_by_name['packed_int32']._options = None
_TESTSERVICE = _descriptor.ServiceDescriptor(
name='TestService',
full_name='protobuf_unittest.TestService',
file=DESCRIPTOR,
index=0,
serialized_options=None,
serialized_start=15590,
serialized_end=15743,
methods=[
_descriptor.MethodDescriptor(
name='Foo',
full_name='protobuf_unittest.TestService.Foo',
index=0,
containing_service=None,
input_type=_FOOREQUEST,
output_type=_FOORESPONSE,
serialized_options=None,
),
_descriptor.MethodDescriptor(
name='Bar',
full_name='protobuf_unittest.TestService.Bar',
index=1,
containing_service=None,
input_type=_BARREQUEST,
output_type=_BARRESPONSE,
serialized_options=None,
),
])
_sym_db.RegisterServiceDescriptor(_TESTSERVICE)
DESCRIPTOR.services_by_name['TestService'] = _TESTSERVICE
TestService = service_reflection.GeneratedServiceType('TestService', (_service.Service,), dict(
DESCRIPTOR = _TESTSERVICE,
__module__ = 'google.protobuf.unittest_pb2'
))
TestService_Stub = service_reflection.GeneratedServiceStubType('TestService_Stub', (TestService,), dict(
DESCRIPTOR = _TESTSERVICE,
__module__ = 'google.protobuf.unittest_pb2'
))
# @@protoc_insertion_point(module_scope)
|
py | 1a4a7ef1e3a3c610e72bcf9fdbefcb30e5989400 | """djangorest URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.urls import include, path
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
"""
from django.conf.urls import url, include
from django.contrib import admin
from django.urls import path
urlpatterns = [
path('admin/', admin.site.urls),
url(r'^', include('api.urls')),
]
|
py | 1a4a808cf9ec2252fc130ec69fc5ffcb03a54f3a | import os
from datetime import datetime, timezone
import numpy as np
import pandas as pd
import pyspark.sql.functions as F
import pyspark.sql.types as pt
import pytest
from pyspark.sql import SparkSession
import ibis
from ibis import util
from ibis.backends.tests.base import BackendTest, RoundAwayFromZero
_pyspark_testing_client = None
def get_common_spark_testing_client(data_directory, connect):
spark = (
SparkSession.builder.config('spark.default.parallelism', 4)
.config('spark.driver.bindAddress', '127.0.0.1')
.getOrCreate()
)
_spark_testing_client = connect(spark)
s = _spark_testing_client._session
num_partitions = 4
df_functional_alltypes = (
s.read.csv(
path=str(data_directory / 'functional_alltypes.csv'),
schema=pt.StructType(
[
pt.StructField('index', pt.IntegerType(), True),
pt.StructField('Unnamed: 0', pt.IntegerType(), True),
pt.StructField('id', pt.IntegerType(), True),
# cast below, Spark can't read 0/1 as bool
pt.StructField('bool_col', pt.ByteType(), True),
pt.StructField('tinyint_col', pt.ByteType(), True),
pt.StructField('smallint_col', pt.ShortType(), True),
pt.StructField('int_col', pt.IntegerType(), True),
pt.StructField('bigint_col', pt.LongType(), True),
pt.StructField('float_col', pt.FloatType(), True),
pt.StructField('double_col', pt.DoubleType(), True),
pt.StructField('date_string_col', pt.StringType(), True),
pt.StructField('string_col', pt.StringType(), True),
pt.StructField('timestamp_col', pt.TimestampType(), True),
pt.StructField('year', pt.IntegerType(), True),
pt.StructField('month', pt.IntegerType(), True),
]
),
mode='FAILFAST',
header=True,
)
.repartition(num_partitions)
.sort('index')
)
df_functional_alltypes = df_functional_alltypes.withColumn(
"bool_col", df_functional_alltypes["bool_col"].cast("boolean")
)
df_functional_alltypes.createOrReplaceTempView('functional_alltypes')
df_batting = (
s.read.csv(
path=str(data_directory / 'batting.csv'),
schema=pt.StructType(
[
pt.StructField('playerID', pt.StringType(), True),
pt.StructField('yearID', pt.IntegerType(), True),
pt.StructField('stint', pt.IntegerType(), True),
pt.StructField('teamID', pt.StringType(), True),
pt.StructField('lgID', pt.StringType(), True),
pt.StructField('G', pt.IntegerType(), True),
pt.StructField('AB', pt.DoubleType(), True),
pt.StructField('R', pt.DoubleType(), True),
pt.StructField('H', pt.DoubleType(), True),
pt.StructField('X2B', pt.DoubleType(), True),
pt.StructField('X3B', pt.DoubleType(), True),
pt.StructField('HR', pt.DoubleType(), True),
pt.StructField('RBI', pt.DoubleType(), True),
pt.StructField('SB', pt.DoubleType(), True),
pt.StructField('CS', pt.DoubleType(), True),
pt.StructField('BB', pt.DoubleType(), True),
pt.StructField('SO', pt.DoubleType(), True),
pt.StructField('IBB', pt.DoubleType(), True),
pt.StructField('HBP', pt.DoubleType(), True),
pt.StructField('SH', pt.DoubleType(), True),
pt.StructField('SF', pt.DoubleType(), True),
pt.StructField('GIDP', pt.DoubleType(), True),
]
),
header=True,
)
.repartition(num_partitions)
.sort('playerID')
)
df_batting.createOrReplaceTempView('batting')
df_awards_players = (
s.read.csv(
path=str(data_directory / 'awards_players.csv'),
schema=pt.StructType(
[
pt.StructField('playerID', pt.StringType(), True),
pt.StructField('awardID', pt.StringType(), True),
pt.StructField('yearID', pt.IntegerType(), True),
pt.StructField('lgID', pt.StringType(), True),
pt.StructField('tie', pt.StringType(), True),
pt.StructField('notes', pt.StringType(), True),
]
),
header=True,
)
.repartition(num_partitions)
.sort('playerID')
)
df_awards_players.createOrReplaceTempView('awards_players')
df_simple = s.createDataFrame([(1, 'a')], ['foo', 'bar'])
df_simple.createOrReplaceTempView('simple')
df_struct = s.createDataFrame([((1, 2, 'a'),)], ['struct_col'])
df_struct.createOrReplaceTempView('struct')
df_nested_types = s.createDataFrame(
[([1, 2], [[3, 4], [5, 6]], {'a': [[2, 4], [3, 5]]})],
[
'list_of_ints',
'list_of_list_of_ints',
'map_string_list_of_list_of_ints',
],
)
df_nested_types.createOrReplaceTempView('nested_types')
df_complicated = s.createDataFrame(
[({(1, 3): [[2, 4], [3, 5]]},)], ['map_tuple_list_of_list_of_ints']
)
df_complicated.createOrReplaceTempView('complicated')
df_udf = s.createDataFrame(
[('a', 1, 4.0, 'a'), ('b', 2, 5.0, 'a'), ('c', 3, 6.0, 'b')],
['a', 'b', 'c', 'key'],
)
df_udf.createOrReplaceTempView('udf')
df_udf_nan = s.createDataFrame(
pd.DataFrame(
{
'a': np.arange(10, dtype=float),
'b': [3.0, np.NaN] * 5,
'key': list('ddeefffggh'),
}
)
)
df_udf_nan.createOrReplaceTempView('udf_nan')
df_udf_null = s.createDataFrame(
[
(float(i), None if i % 2 else 3.0, 'ddeefffggh'[i])
for i in range(10)
],
['a', 'b', 'key'],
)
df_udf_null.createOrReplaceTempView('udf_null')
df_udf_random = s.createDataFrame(
pd.DataFrame(
{
'a': np.arange(4, dtype=float).tolist()
+ np.random.rand(3).tolist(),
'b': np.arange(4, dtype=float).tolist()
+ np.random.rand(3).tolist(),
'key': list('ddeefff'),
}
)
)
df_udf_random.createOrReplaceTempView('udf_random')
return _spark_testing_client
def get_pyspark_testing_client(data_directory):
global _pyspark_testing_client
if _pyspark_testing_client is None:
_pyspark_testing_client = get_common_spark_testing_client(
data_directory,
lambda session: ibis.backends.pyspark.Backend().connect(session),
)
return _pyspark_testing_client
class TestConf(BackendTest, RoundAwayFromZero):
supported_to_timestamp_units = {'s'}
@staticmethod
def connect(data_directory):
return get_pyspark_testing_client(data_directory)
@pytest.fixture(scope='session')
def client(data_directory):
client = get_pyspark_testing_client(data_directory)
df = client._session.range(0, 10)
df = df.withColumn("str_col", F.lit('value'))
df.createTempView('basic_table')
df_nans = client._session.createDataFrame(
[
[np.NaN, 'Alfred', None],
[27.0, 'Batman', 'motocycle'],
[3.0, None, 'joker'],
],
['age', 'user', 'toy'],
)
df_nans.createTempView('nan_table')
df_dates = client._session.createDataFrame(
[['2018-01-02'], ['2018-01-03'], ['2018-01-04']], ['date_str']
)
df_dates.createTempView('date_table')
df_arrays = client._session.createDataFrame(
[
['k1', [1, 2, 3], ['a']],
['k2', [4, 5], ['test1', 'test2', 'test3']],
['k3', [6], ['w', 'x', 'y', 'z']],
['k1', [], ['cat', 'dog']],
['k1', [7, 8], []],
],
['key', 'array_int', 'array_str'],
)
df_arrays.createTempView('array_table')
df_time_indexed = client._session.createDataFrame(
[
[datetime(2017, 1, 2, 5, tzinfo=timezone.utc), 1, 1.0],
[datetime(2017, 1, 2, 5, tzinfo=timezone.utc), 2, 2.0],
[datetime(2017, 1, 2, 6, tzinfo=timezone.utc), 1, 3.0],
[datetime(2017, 1, 2, 6, tzinfo=timezone.utc), 2, 4.0],
[datetime(2017, 1, 2, 7, tzinfo=timezone.utc), 1, 5.0],
[datetime(2017, 1, 2, 7, tzinfo=timezone.utc), 2, 6.0],
[datetime(2017, 1, 4, 8, tzinfo=timezone.utc), 1, 7.0],
[datetime(2017, 1, 4, 8, tzinfo=timezone.utc), 2, 8.0],
],
['time', 'key', 'value'],
)
df_time_indexed.createTempView('time_indexed_table')
return client
class IbisWindow:
# Test util class to generate different types of ibis windows
def __init__(self, windows):
self.windows = windows
def get_windows(self):
# Return a list of Ibis windows
return [
ibis.window(
preceding=w[0],
following=w[1],
order_by='time',
group_by='key',
)
for w in self.windows
]
@pytest.fixture
def ibis_windows(request):
return IbisWindow(request.param).get_windows()
def _random_identifier(suffix):
return '__ibis_test_{}_{}'.format(suffix, util.guid())
@pytest.fixture(scope='session', autouse=True)
def test_data_db(client):
try:
name = os.environ.get('IBIS_TEST_DATA_DB', 'ibis_testing')
client.create_database(name)
client.set_database(name)
yield name
finally:
client.drop_database(name, force=True)
@pytest.fixture
def temp_database(client, test_data_db):
name = _random_identifier('database')
client.create_database(name)
try:
yield name
finally:
client.set_database(test_data_db)
client.drop_database(name, force=True)
@pytest.fixture
def temp_table(client):
name = _random_identifier('table')
try:
yield name
finally:
assert client.exists_table(name), name
client.drop_table(name)
@pytest.fixture(scope='session')
def alltypes(client):
return client.table('functional_alltypes').relabel(
{'Unnamed: 0': 'Unnamed:0'}
)
@pytest.fixture(scope='session')
def tmp_dir():
return '/tmp/__ibis_test_{}'.format(util.guid())
@pytest.fixture
def temp_table_db(client, temp_database):
name = _random_identifier('table')
try:
yield temp_database, name
finally:
assert client.exists_table(name, database=temp_database), name
client.drop_table(name, database=temp_database)
@pytest.fixture
def temp_view(client):
name = _random_identifier('view')
try:
yield name
finally:
assert client.exists_table(name), name
client.drop_view(name)
|
py | 1a4a830fd78e4bcd417c67afee9a3a02977e34d6 | from abc import ABC, abstractmethod
from .io.chem import load_molecule, build_fp
from .io.backends import PyTablesStorageBackend
from .FPSim2lib.utils import PyPopcount
import numpy as np
class BaseEngine(ABC):
fp_filename = None
storage = None
def __init__(
self,
fp_filename: str,
storage_backend: str,
in_memory_fps: bool,
fps_sort: bool,
) -> None:
self.fp_filename = fp_filename
self.in_memory_fps = in_memory_fps
if storage_backend == "pytables":
self.storage = PyTablesStorageBackend(
fp_filename, in_memory_fps=in_memory_fps, fps_sort=fps_sort
)
@property
def fps(self):
if self.in_memory_fps:
return self.storage.fps
else:
raise Exception("FPs not loaded into memory.")
@property
def popcnt_bins(self):
return self.storage.popcnt_bins
@property
def fp_type(self):
return self.storage.fp_type
@property
def fp_params(self):
return self.storage.fp_params
@property
def rdkit_ver(self):
return self.storage.rdkit_ver
def load_query(self, query_string: str) -> np.ndarray:
"""Loads the query molecule from SMILES, molblock or InChI.
Parameters
----------
query_string : str
SMILES, InChi or molblock.
Returns
-------
query : numpy array
Numpy array query molecule.
"""
rdmol = load_molecule(query_string)
fp = build_fp(rdmol, self.fp_type, self.fp_params, 0)
return np.array(fp, dtype=np.uint64)
@abstractmethod
def similarity(
self, query_string: str, threshold: float, n_workers=1
) -> np.ndarray:
"""Tanimoto similarity search """
|
py | 1a4a835fe67074cab78e2930e697b8f4b79187e3 | """
This file contains base classes that other algorithm classes subclass.
Each algorithm file also implements a algorithm factory function that
takes in an algorithm config (`config.algo`) and returns the particular
Algo subclass that should be instantiated, along with any extra kwargs.
These factory functions are registered into a global dictionary with the
@register_algo_factory_func function decorator. This makes it easy for
@algo_factory to instantiate the correct `Algo` subclass.
"""
import textwrap
from copy import deepcopy
from collections import OrderedDict
import torch.nn as nn
import robomimic.utils.tensor_utils as TensorUtils
import robomimic.utils.torch_utils as TorchUtils
import robomimic.utils.obs_utils as ObsUtils
# mapping from algo name to factory functions that map algo configs to algo class names
REGISTERED_ALGO_FACTORY_FUNCS = OrderedDict()
def register_algo_factory_func(algo_name):
"""
Function decorator to register algo factory functions that map algo configs to algo class names.
Each algorithm implements such a function, and decorates it with this decorator.
Args:
algo_name (str): the algorithm name to register the algorithm under
"""
def decorator(factory_func):
REGISTERED_ALGO_FACTORY_FUNCS[algo_name] = factory_func
return decorator
def algo_name_to_factory_func(algo_name):
"""
Uses registry to retrieve algo factory function from algo name.
Args:
algo_name (str): the algorithm name
"""
return REGISTERED_ALGO_FACTORY_FUNCS[algo_name]
def algo_factory(algo_name, config, obs_key_shapes, ac_dim, device):
"""
Factory function for creating algorithms based on the algorithm name and config.
Args:
algo_name (str): the algorithm name
config (BaseConfig instance): config object
obs_key_shapes (OrderedDict): dictionary that maps observation keys to shapes
ac_dim (int): dimension of action space
device (torch.Device): where the algo should live (i.e. cpu, gpu)
"""
# @algo_name is included as an arg to be explicit, but make sure it matches the config
assert algo_name == config.algo_name
# use algo factory func to get algo class and kwargs from algo config
factory_func = algo_name_to_factory_func(algo_name)
algo_cls, algo_kwargs = factory_func(config.algo)
# create algo instance
return algo_cls(
algo_config=config.algo,
obs_config=config.observation,
global_config=config,
obs_key_shapes=obs_key_shapes,
ac_dim=ac_dim,
device=device,
**algo_kwargs
)
class Algo(object):
"""
Base algorithm class that all other algorithms subclass. Defines several
functions that should be overriden by subclasses, in order to provide
a standard API to be used by training functions such as @run_epoch in
utils/train_utils.py.
"""
def __init__(
self,
algo_config,
obs_config,
global_config,
obs_key_shapes,
ac_dim,
device
):
"""
Args:
algo_config (Config object): instance of Config corresponding to the algo section
of the config
obs_config (Config object): instance of Config corresponding to the observation
section of the config
global_config (Config object): global training config
obs_key_shapes (OrderedDict): dictionary that maps observation keys to shapes
ac_dim (int): dimension of action space
device (torch.Device): where the algo should live (i.e. cpu, gpu)
"""
self.optim_params = deepcopy(algo_config.optim_params)
self.algo_config = algo_config
self.obs_config = obs_config
self.global_config = global_config
self.ac_dim = ac_dim
self.device = device
self.obs_key_shapes = obs_key_shapes
self.nets = nn.ModuleDict()
self._create_shapes(obs_config.modalities, obs_key_shapes)
self._create_networks()
self._create_optimizers()
assert isinstance(self.nets, nn.ModuleDict)
def _create_shapes(self, obs_keys, obs_key_shapes):
"""
Create obs_shapes, goal_shapes, and subgoal_shapes dictionaries, to make it
easy for this algorithm object to keep track of observation key shapes. Each dictionary
maps observation key to shape.
Args:
obs_keys (dict): dict of required observation keys for this training run (usually
specified by the obs config), e.g., {"obs": ["rgb", "proprio"], "goal": ["proprio"]}
obs_key_shapes (dict): dict of observation key shapes, e.g., {"rgb": [3, 224, 224]}
"""
# determine shapes
self.obs_shapes = OrderedDict()
self.goal_shapes = OrderedDict()
self.subgoal_shapes = OrderedDict()
# We check across all modality groups (obs, goal, subgoal), and see if the inputted observation key exists
# across all modalitie specified in the config. If so, we store its corresponding shape internally
for k in obs_key_shapes:
if "obs" in self.obs_config.modalities and k in [obs_key for modality in self.obs_config.modalities.obs.values() for obs_key in modality]:
self.obs_shapes[k] = obs_key_shapes[k]
if "goal" in self.obs_config.modalities and k in [obs_key for modality in self.obs_config.modalities.goal.values() for obs_key in modality]:
self.goal_shapes[k] = obs_key_shapes[k]
if "subgoal" in self.obs_config.modalities and k in [obs_key for modality in self.obs_config.modalities.subgoal.values() for obs_key in modality]:
self.subgoal_shapes[k] = obs_key_shapes[k]
def _create_networks(self):
"""
Creates networks and places them into @self.nets.
@self.nets should be a ModuleDict.
"""
raise NotImplementedError
def _create_optimizers(self):
"""
Creates optimizers using @self.optim_params and places them into @self.optimizers.
"""
self.optimizers = dict()
self.lr_schedulers = dict()
for k in self.optim_params:
# only make optimizers for networks that have been created - @optim_params may have more
# settings for unused networks
if k in self.nets:
if isinstance(self.nets[k], nn.ModuleList):
self.optimizers[k] = [
TorchUtils.optimizer_from_optim_params(net_optim_params=self.optim_params[k], net=self.nets[k][i])
for i in range(len(self.nets[k]))
]
self.lr_schedulers[k] = [
TorchUtils.lr_scheduler_from_optim_params(net_optim_params=self.optim_params[k], net=self.nets[k][i], optimizer=self.optimizers[k][i])
for i in range(len(self.nets[k]))
]
else:
self.optimizers[k] = TorchUtils.optimizer_from_optim_params(
net_optim_params=self.optim_params[k], net=self.nets[k])
self.lr_schedulers[k] = TorchUtils.lr_scheduler_from_optim_params(
net_optim_params=self.optim_params[k], net=self.nets[k], optimizer=self.optimizers[k])
def process_batch_for_training(self, batch):
"""
Processes input batch from a data loader to filter out
relevant information and prepare the batch for training.
Args:
batch (dict): dictionary with torch.Tensors sampled
from a data loader
Returns:
input_batch (dict): processed and filtered batch that
will be used for training
"""
return batch
def train_on_batch(self, batch, epoch, validate=False):
"""
Training on a single batch of data.
Args:
batch (dict): dictionary with torch.Tensors sampled
from a data loader and filtered by @process_batch_for_training
epoch (int): epoch number - required by some Algos that need
to perform staged training and early stopping
validate (bool): if True, don't perform any learning updates.
Returns:
info (dict): dictionary of relevant inputs, outputs, and losses
that might be relevant for logging
"""
assert validate or self.nets.training
return OrderedDict()
def log_info(self, info):
"""
Process info dictionary from @train_on_batch to summarize
information to pass to tensorboard for logging.
Args:
info (dict): dictionary of info
Returns:
loss log (dict): name -> summary statistic
"""
log = OrderedDict()
# record current optimizer learning rates
for k in self.optimizers:
for i, param_group in enumerate(self.optimizers[k].param_groups):
log["Optimizer/{}{}_lr".format(k, i)] = param_group["lr"]
return log
def on_epoch_end(self, epoch):
"""
Called at the end of each epoch.
"""
# LR scheduling updates
for k in self.lr_schedulers:
if self.lr_schedulers[k] is not None:
self.lr_schedulers[k].step()
def set_eval(self):
"""
Prepare networks for evaluation.
"""
self.nets.eval()
def set_train(self):
"""
Prepare networks for training.
"""
self.nets.train()
def serialize(self):
"""
Get dictionary of current model parameters.
"""
return self.nets.state_dict()
def deserialize(self, model_dict):
"""
Load model from a checkpoint.
Args:
model_dict (dict): a dictionary saved by self.serialize() that contains
the same keys as @self.network_classes
"""
self.nets.load_state_dict(model_dict)
def __repr__(self):
"""
Pretty print algorithm and network description.
"""
return "{} (\n".format(self.__class__.__name__) + \
textwrap.indent(self.nets.__repr__(), ' ') + "\n)"
def reset(self):
"""
Reset algo state to prepare for environment rollouts.
"""
pass
class PolicyAlgo(Algo):
"""
Base class for all algorithms that can be used as policies.
"""
def get_action(self, obs_dict, goal_dict=None):
"""
Get policy action outputs.
Args:
obs_dict (dict): current observation
goal_dict (dict): (optional) goal
Returns:
action (torch.Tensor): action tensor
"""
raise NotImplementedError
class ValueAlgo(Algo):
"""
Base class for all algorithms that can learn a value function.
"""
def get_state_value(self, obs_dict, goal_dict=None):
"""
Get state value outputs.
Args:
obs_dict (dict): current observation
goal_dict (dict): (optional) goal
Returns:
value (torch.Tensor): value tensor
"""
raise NotImplementedError
def get_state_action_value(self, obs_dict, actions, goal_dict=None):
"""
Get state-action value outputs.
Args:
obs_dict (dict): current observation
actions (torch.Tensor): action
goal_dict (dict): (optional) goal
Returns:
value (torch.Tensor): value tensor
"""
raise NotImplementedError
class PlannerAlgo(Algo):
"""
Base class for all algorithms that can be used for planning subgoals
conditioned on current observations and potential goal observations.
"""
def get_subgoal_predictions(self, obs_dict, goal_dict=None):
"""
Get predicted subgoal outputs.
Args:
obs_dict (dict): current observation
goal_dict (dict): (optional) goal
Returns:
subgoal prediction (dict): name -> Tensor [batch_size, ...]
"""
raise NotImplementedError
def sample_subgoals(self, obs_dict, goal_dict, num_samples=1):
"""
For planners that rely on sampling subgoals.
Args:
obs_dict (dict): current observation
goal_dict (dict): (optional) goal
Returns:
subgoals (dict): name -> Tensor [batch_size, num_samples, ...]
"""
raise NotImplementedError
class HierarchicalAlgo(Algo):
"""
Base class for all hierarchical algorithms that consist of (1) subgoal planning
and (2) subgoal-conditioned policy learning.
"""
def get_action(self, obs_dict, goal_dict=None):
"""
Get policy action outputs.
Args:
obs_dict (dict): current observation
goal_dict (dict): (optional) goal
Returns:
action (torch.Tensor): action tensor
"""
raise NotImplementedError
def get_subgoal_predictions(self, obs_dict, goal_dict=None):
"""
Get subgoal predictions from high-level subgoal planner.
Args:
obs_dict (dict): current observation
goal_dict (dict): (optional) goal
Returns:
subgoal (dict): predicted subgoal
"""
raise NotImplementedError
@property
def current_subgoal(self):
"""
Get the current subgoal for conditioning the low-level policy
Returns:
current subgoal (dict): predicted subgoal
"""
raise NotImplementedError
class RolloutPolicy(object):
"""
Wraps @Algo object to make it easy to run policies in a rollout loop.
"""
def __init__(self, policy, obs_normalization_stats=None):
"""
Args:
policy (Algo instance): @Algo object to wrap to prepare for rollouts
obs_normalization_stats (dict): optionally pass a dictionary for observation
normalization. This should map observation keys to dicts
with a "mean" and "std" of shape (1, ...) where ... is the default
shape for the observation.
"""
self.policy = policy
self.obs_normalization_stats = obs_normalization_stats
def start_episode(self):
"""
Prepare the policy to start a new rollout.
"""
self.policy.set_eval()
self.policy.reset()
def _prepare_observation(self, ob):
"""
Prepare raw observation dict from environment for policy.
Args:
ob (dict): single observation dictionary from environment (no batch dimension,
and np.array values for each key)
"""
if self.obs_normalization_stats is not None:
ob = ObsUtils.normalize_obs(ob, obs_normalization_stats=self.obs_normalization_stats)
ob = TensorUtils.to_tensor(ob)
ob = TensorUtils.to_batch(ob)
ob = TensorUtils.to_device(ob, self.policy.device)
ob = TensorUtils.to_float(ob)
return ob
def __repr__(self):
"""Pretty print network description"""
return self.policy.__repr__()
def __call__(self, ob, goal=None):
"""
Produce action from raw observation dict (and maybe goal dict) from environment.
Args:
ob (dict): single observation dictionary from environment (no batch dimension,
and np.array values for each key)
goal (dict): goal observation
"""
ob = self._prepare_observation(ob)
if goal is not None:
goal = self._prepare_observation(goal)
ac = self.policy.get_action(obs_dict=ob, goal_dict=goal)
return TensorUtils.to_numpy(ac[0])
|
py | 1a4a844480cdae007106a3a9fd36e4d163944a3e | from matrx.actions.action import Action, ActionResult
from matrx.objects.agent_body import AgentBody
def _act_move(grid_world, agent_id, dx, dy):
""" Private MATRX method.
The method that actually mutates the location of an AgentBody based on a
delta-x and delta-y.
Parameters
----------
grid_world : GridWorld
The GridWorld instance in which the agent resides whose location
should be updated.
agent_id : string
The unique identifier for the agent whose location should be changed.
dx : {-1, 0, 1}
The delta change on the x-coordinate.
dy : {-1, 0, 1}
The delta change on the y-coordinate.
Returns
-------
MoveActionResult
The result of the actual change of the location of an AgentBody.
Always returns a success.
"""
agent_avatar = grid_world.get_env_object(agent_id, obj_type=AgentBody)
loc = agent_avatar.location
new_loc = [loc[0] + dx, loc[1] + dy]
grid_world.registered_agents[agent_id].location = new_loc
return MoveActionResult(MoveActionResult.RESULT_SUCCESS, succeeded=True)
def _is_possible_movement(grid_world, agent_id, dx, dy):
""" Private MATRX method.
Wrapper around the check if a certain movement is possible.
Parameters
----------
grid_world : GridWorld
The GridWorld instance in which the agent resides whose location
should be updated.
agent_id : string
The unique identifier for the agent whose location should be changed.
dx : {-1, 0, 1}
The delta change on the x-coordinate.
dy : {-1, 0, 1}
The delta change on the y-coordinate.
Returns
-------
MoveActionResult
The expected result of performing this movement.
See Also
--------
possible_movement : The main method this method wraps.
"""
return _possible_movement(grid_world, agent_id, dx, dy)
def _possible_movement(grid_world, agent_id, dx, dy):
""" Private MATRX method.
Checks if the delta-x and delta-y change in the agent's location is
possible.
Parameters
----------
grid_world : GridWorld
The GridWorld instance in which the agent resides whose location should
be updated.
agent_id : string
The unique identifier for the agent whose location should be changed.
dx : {-1, 0, 1}
The delta change on the x-coordinate.
dy : {-1, 0, 1}
The delta change on the y-coordinate.
Returns
-------
MoveActionResult
Whether the MoveAction is expected to be possible.
Can return the following results (see also
:class:`matrx.actions.move_actions.MoveActionResult`):
* The ActionResult depicting the action's success or failure and reason
for that result.
* RESULT_SUCCESS: When the MoveAction is possible.
* RESULT_NO_MOVE: If the agent is already at the
location it wishes to move to.
* RESULT_OCCUPIED: When the new location is occupied
by an intraversable agent.
* RESULT_NOT_PASSABLE_OBJECT: When the new location is
occupied by an intraversable object.
* RESULT_OUT_OF_BOUNDS: When the new location is
outside the GridWorld's bounds.
"""
agent_avatar = grid_world.get_env_object(agent_id, obj_type=AgentBody)
assert agent_avatar is not None
loc = agent_avatar.location
new_loc = [loc[0] + dx, loc[1] + dy]
if 0 <= new_loc[0] < grid_world.shape[0] and 0 <= new_loc[1] < grid_world.shape[1]:
loc_obj_ids = grid_world.grid[new_loc[1], new_loc[0]]
if loc_obj_ids is None:
# there is nothing at that location
return MoveActionResult(MoveActionResult.RESULT_SUCCESS, succeeded=True)
else:
# Go through all objects at the desired locations
for loc_obj_id in loc_obj_ids:
# Check if loc_obj_id is the id of an agent
if loc_obj_id in grid_world.registered_agents.keys():
# get the actual agent
loc_obj = grid_world.registered_agents[loc_obj_id]
# Check if the agent that takes the move action is not that agent at that location (meaning that
# for some reason the move action has no effect. If this is the case, we send the appropriate
# result
if loc_obj_id == agent_id:
# The desired location contains a different agent and we cannot step at locations with agents
return MoveActionResult(MoveActionResult.RESULT_NO_MOVE, succeeded=False)
# Check if the agent on the other location (if not itself) is traverable. Otherwise we return that
# the location is occupied.
elif not loc_obj.is_traversable:
return MoveActionResult(MoveActionResult.RESULT_OCCUPIED, succeeded=False)
# If there are no agents at the desired location or we can move on top of other agents, we check if
# there are objects in the way that are not passable.
if loc_obj_id in grid_world.environment_objects.keys():
# get the actual object
loc_obj = grid_world.environment_objects[loc_obj_id]
# Check if the object is not passable, if this is not the case is_traversable is False
if not loc_obj.is_traversable:
# The desired location contains an object that is not passable
return MoveActionResult(MoveActionResult.RESULT_NOT_PASSABLE_OBJECT, succeeded=False)
# Either the desired location contains the agent at previous tick, and/or all objects there are passable
return MoveActionResult(MoveActionResult.RESULT_SUCCESS, succeeded=True)
else:
return MoveActionResult(MoveActionResult.RESULT_OUT_OF_BOUNDS, succeeded=False)
class MoveActionResult(ActionResult):
"""ActionResult for a Move action
The results uniquely for Move action are (as class constants):
* RESULT_SUCCESS: When the MoveAction is possible.
* RESULT_NO_MOVE: If the agent is already at the location it wishes to move
to.
* RESULT_OCCUPIED: When the new location is occupied by an intraversable
agent.
* RESULT_NOT_PASSABLE_OBJECT: When the new location is occupied by an
intraversable object.
* RESULT_OUT_OF_BOUNDS: When the new location is outside the GridWorld's
bounds.
Parameters
----------
result : str
A string representing the reason for a (expected) success
or fail of a :class:`matrx.actions.move_actions.Move`.
succeeded : bool
A boolean representing the (expected) success or fail of a
:class:`matrx.actions.move_actions.Move`.
See Also
--------
Move
"""
""" When the move action is success. """
RESULT_SUCCESS = 'Move action success'
""" When the agent is already at the location it tries to move to. """
RESULT_NO_MOVE = 'Move action resulted in a new location with the agent already present.'
""" When the move action would lead the agent outside the world bounds. """
RESULT_OUT_OF_BOUNDS = 'Move action out of bounds'
""" When the move action would lead the agent to a location occupied by
another agent. """
RESULT_OCCUPIED = 'Move action towards occupied space'
""" When the move action would lead the agent to a location occupied by
an intraversable object. """
RESULT_NOT_PASSABLE_OBJECT = 'Move action toward space which is not traversable by agent due object'
def __init__(self, result, succeeded):
super().__init__(result, succeeded)
class Move(Action):
""" The class wrapping all Move actions.
Parameters
----------
duration_in_ticks : int
Optional. Default: ``1``. Should be zero or larger.
The default duration of this action in ticks during which the
:class:`matrx.grid_world.GridWorld` blocks the agent performing other
actions. By default this is 1, meaning that all actions of this type will take
both the tick in which it was decided upon and the subsequent tick.
When the agent is blocked / busy with an action, only the
:meth:`matrx.agents.agent_brain.AgentBrain.filter_observations` method is called for that agent, and the
:meth:`matrx.agents.agent_brain.AgentBrain.decide_on_action` method is skipped.
This means that agents that are busy with an action can only perceive the world but not decide on
a new action untill the action has completed.
An agent can overwrite the duration of an action by returning the ``action_duration`` in the ``action_kwargs``
in the :meth:`matrx.agents.agent_brain.AgentBrain.decide_on_action` method, as so:
``return >action_name<, {'action_duration': >ticks<}``
Attributes
----------
dx : {-1, 0, 1}
The delta change on the x-coordinate.
dy : {-1, 0, 1}
The delta change on the y-coordinate.
See Also
--------
MoveNorth
MoveNorthEast
MoveEast
MoveSouthEast
MoveSouth
MoveSouthWest
MoveWest
MoveNorthWest
"""
def __init__(self, duration_in_ticks=0):
super().__init__(duration_in_ticks)
self.dx = 0
self.dy = 0
def is_possible(self, grid_world, agent_id, world_state, **kwargs):
""" Checks if the move is possible.
Checks for the following:
* If the agent is already at the location it wishes to move to.
* When the new location is occupied by an intraversable agent.
* When the new location is occupied by an intraversable object.
* When the new location is outside the GridWorld's bounds.
Parameters
----------
grid_world : GridWorld
The :class:`matrx.grid_world.GridWorld` instance in which the
agent resides whose location should be updated.
agent_id : str
The unique identifier for the agent whose location should be
changed.
world_state : State
The State object representing the entire world. Can be used to
simplify search of objects and properties when checking if an
action can be performed. Note that this is the State of the
entire world, not that of the agent performing the action.
**kwargs : dict
Not used.
Returns
-------
MoveActionResult
Whether the MoveAction is expected to be possible.
See :class:`matrx.actions.move_actions.MoveActionResult` for the
results it can contain.
"""
result = _is_possible_movement(grid_world, agent_id=agent_id, dx=self.dx, dy=self.dy)
return result
def mutate(self, grid_world, agent_id, world_state, **kwargs):
""" Mutates an agent's location
Changes an agent's location property based on the attributes `dx` and
`dy`.
Parameters
----------
grid_world : GridWorld
The :class:`matrx.grid_world.GridWorld` instance in which the
agent resides whose location should be updated.
world_state : State
The State object representing the entire world. Can be used to
simplify search of objects and properties when performing an
action. Note that this is the State of the entire world, not
that of the agent performing the action.
agent_id : str
The unique identifier for the agent whose location should be
changed.
Returns
-------
MoveActionResult
The result of the actual change of the location of an agent. Always
returns a success.
"""
return _act_move(grid_world, agent_id=agent_id, dx=self.dx, dy=self.dy)
class MoveNorth(Move):
""" Moves the agent North.
Inherits from :class:`matrx.actions.move_actions.Move` and sets the delta-x
and delta-y as follows:
* delta-x = 0
* delta-y = -1
See Also
--------
Move
"""
def __init__(self):
super().__init__()
self.dx = 0
self.dy = -1
class MoveNorthEast(Move):
""" Moves the agent North-East.
Inherits from :class:`matrx.actions.move_actions.Move` and sets the delta-x
and delta-y as follows:
* delta-x = 1
* delta-y = -1
See Also
--------
Move
"""
def __init__(self):
super().__init__()
self.dx = +1
self.dy = -1
class MoveEast(Move):
""" Moves the agent East.
Inherits from :class:`matrx.actions.move_actions.Move` and sets the delta-x
and delta-y as follows:
* delta-x = 1
* delta-y = 0
See Also
--------
Move
"""
def __init__(self):
super().__init__()
self.dx = +1
self.dy = 0
class MoveSouthEast(Move):
""" Moves the agent South-East.
Inherits from :class:`matrx.actions.move_actions.Move` and sets the delta-x
and delta-y as follows:
* delta-x = 1
* delta-y = 1
See Also
--------
Move
"""
def __init__(self):
super().__init__()
self.dx = +1
self.dy = +1
class MoveSouth(Move):
""" Moves the agent South.
Inherits from :class:`matrx.actions.move_actions.Move` and sets the delta-x
and delta-y as follows:
* delta-x = 0
* delta-y = 1
See Also
--------
Move
"""
def __init__(self):
super().__init__()
self.dx = 0
self.dy = +1
class MoveSouthWest(Move):
""" Moves the agent South-West.
Inherits from :class:`matrx.actions.move_actions.Move` and sets the delta-x
and delta-y as follows:
* delta-x = -1
* delta-y = 1
See Also
--------
Move
"""
def __init__(self):
super().__init__()
self.dx = -1
self.dy = +1
class MoveWest(Move):
""" Moves the agent West.
Inherits from :class:`matrx.actions.move_actions.Move` and sets the delta-x
and delta-y as follows:
* delta-x = -1
* delta-y = 0
See Also
--------
Move
"""
def __init__(self):
super().__init__()
self.dx = -1
self.dy = 0
class MoveNorthWest(Move):
""" Moves the agent North-West.
Inherits from :class:`matrx.actions.move_actions.Move` and sets the delta-x
and delta-y as follows:
* delta-x = -1
* delta-y = -1
See Also
--------
Move
"""
def __init__(self):
super().__init__()
self.dx = -1
self.dy = -1
|
py | 1a4a855efc228df343bc01d72ea3f9a19e4898e2 | import torch
import numpy as np
import networkx as nx
class CenterObjective():
def __init__(self, dist, dmax, temp, hardmax=False):
'''
dist: (num customers) * (num locations) matrix
dmax: maximum distance that can be suffered by any customer (e.g., if
no facilities are chosen)
temp: how hard to make the softmax over customers
'''
self.dmax = dmax
dist, order = torch.sort(dist, dim=1)
self.order = order
dmax_vec = dmax*torch.ones(dist.shape[0], 1)
off_one = torch.cat((dist[:, 1:], dmax_vec), dim=1)
self.m = dist - off_one
self.temp = temp
self.hardmax = hardmax
def __call__(self, x):
'''
Evaluates E_S[softmax_{customers} min_{i \in S} dist(customer, i)] where
the expectation is over the set of facility locations S. Every
location is included in S independently with probability x_i.
'''
x_sort = x[self.order]
probs = 1 - torch.cumprod(1 - x_sort, dim=1)
vals = self.dmax + (self.m*probs).sum(dim=1)
if self.hardmax:
return vals.max()
weights = torch.softmax(self.temp*vals, dim=0)
return torch.dot(vals, weights)
def gonzalez_kcenter(dist, K):
'''
Algorithm of Gonzalez (1985) which iteratively selects the point furthest
from the current solution
Gonzalez, Teofilo F. (1985). "Clustering to minimize the maximum intercluster
distance". Theoretical Computer Science.
'''
S = [np.random.choice(list(range(dist.shape[1])))]
while len(S) < K:
dist_to_S = dist[:, S].min(dim = 1)[0]
S.append(dist_to_S.argmax().item())
x = torch.zeros(dist.shape[1])
x[S] = 1
return x
def greedy_kcenter(dist, dmax, K):
'''
Greedily add locations to minimize the kcenter objective
'''
obj = CenterObjective(dist, dmax, None, True)
x = torch.zeros(dist.shape[1])
currval = obj(x)
for _ in range(K):
best_i = 0
for i in range(dist.shape[1]):
if x[i] < 0.5:
x[i] = 1
obj_val = obj(x)
if obj_val < currval:
currval = obj_val
best_i = i
x[i] = 0
x[best_i] = 1
return x
def make_all_dists(bin_adj, dmax, use_weights=False):
g = nx.from_numpy_array(bin_adj.cpu().detach().numpy())
if not use_weights:
lengths = nx.shortest_path_length(g)
else:
lengths = nx.shortest_path_length(g, weight='weight')
dist = torch.zeros_like(bin_adj)
for u, lens_u in lengths:
for v in range(bin_adj.shape[0]):
if v in lens_u:
dist[u,v] = lens_u[v]
else:
dist[u,v] = dmax
return dist
def make_dists_igraph(adj):
import igraph
adj = adj.detach().numpy()
dense = np.random.rand(adj.shape[0], adj.shape[1])
e1 = dense.nonzero()[0]
e1 = e1.reshape(e1.shape[0], 1)
e2 = dense.nonzero()[1]
e2 = e2.reshape(e2.shape[0], 1)
stuff = np.concatenate((e1, e2), axis=1)
allstuff = np.concatenate((stuff, adj.flatten().reshape(stuff.shape[0], 1)), axis=1)
np.savetxt('tmp_twostage', allstuff, fmt = '%d %d %f')
g = igraph.Graph.Read_Ncol('tmp_twostage', weights=True, directed=True)
dists = g.shortest_paths(weights='weight')
dists = torch.tensor(np.array(dists))
return dists.float()
def rounding(x):
'''
Fast pipage rounding implementation for uniform matroid
'''
i = 0
j = 1
x = x.clone()
for t in range(len(x)-1):
if x[i] == 0 and x[j] == 0:
i = max((i,j)) + 1
elif x[i] + x[j] < 1:
if np.random.rand() < x[i]/(x[i] + x[j]):
x[i] = x[i] + x[j]
x[j] = 0
j = max((i,j)) + 1
else:
x[j] = x[i] + x[j]
x[i] = 0
i = max((i,j)) + 1
else:
if np.random.rand() < (1 - x[j])/(2 - x[i] - x[j]):
x[j] = x[i] + x[j] - 1
x[i] = 1
i = max((i,j)) + 1
else:
x[i] = x[i] + x[j] - 1
x[j] = 1
j = max((i,j)) + 1
return x
|
py | 1a4a865c4176859e0b5b4b5444b68e253bcf9d64 | import scipy.stats
import numpy as np
from math import ceil
from .. import img_as_float
from ..restoration._denoise_cy import _denoise_bilateral, _denoise_tv_bregman
from .._shared.utils import warn
import pywt
import skimage.color as color
import numbers
def denoise_bilateral(image, win_size=None, sigma_color=None, sigma_spatial=1,
bins=10000, mode='constant', cval=0, multichannel=False):
"""Denoise image using bilateral filter.
This is an edge-preserving, denoising filter. It averages pixels based on
their spatial closeness and radiometric similarity [1]_.
Spatial closeness is measured by the Gaussian function of the Euclidean
distance between two pixels and a certain standard deviation
(`sigma_spatial`).
Radiometric similarity is measured by the Gaussian function of the
Euclidean distance between two color values and a certain standard
deviation (`sigma_color`).
Parameters
----------
image : ndarray, shape (M, N[, 3])
Input image, 2D grayscale or RGB.
win_size : int
Window size for filtering.
If win_size is not specified, it is calculated as
``max(5, 2 * ceil(3 * sigma_spatial) + 1)``.
sigma_color : float
Standard deviation for grayvalue/color distance (radiometric
similarity). A larger value results in averaging of pixels with larger
radiometric differences. Note, that the image will be converted using
the `img_as_float` function and thus the standard deviation is in
respect to the range ``[0, 1]``. If the value is ``None`` the standard
deviation of the ``image`` will be used.
sigma_spatial : float
Standard deviation for range distance. A larger value results in
averaging of pixels with larger spatial differences.
bins : int
Number of discrete values for Gaussian weights of color filtering.
A larger value results in improved accuracy.
mode : {'constant', 'edge', 'symmetric', 'reflect', 'wrap'}
How to handle values outside the image borders. See
`numpy.pad` for detail.
cval : string
Used in conjunction with mode 'constant', the value outside
the image boundaries.
multichannel : bool
Whether the last axis of the image is to be interpreted as multiple
channels or another spatial dimension.
Returns
-------
denoised : ndarray
Denoised image.
References
----------
.. [1] http://users.soe.ucsc.edu/~manduchi/Papers/ICCV98.pdf
Examples
--------
>>> from skimage import data, img_as_float
>>> astro = img_as_float(data.astronaut())
>>> astro = astro[220:300, 220:320]
>>> noisy = astro + 0.6 * astro.std() * np.random.random(astro.shape)
>>> noisy = np.clip(noisy, 0, 1)
>>> denoised = denoise_bilateral(noisy, sigma_color=0.05, sigma_spatial=15,
... multichannel=True)
"""
if multichannel:
if image.ndim != 3:
if image.ndim == 2:
raise ValueError("Use ``multichannel=False`` for 2D grayscale "
"images. The last axis of the input image "
"must be multiple color channels not another "
"spatial dimension.")
else:
raise ValueError("Bilateral filter is only implemented for "
"2D grayscale images (image.ndim == 2) and "
"2D multichannel (image.ndim == 3) images, "
"but the input image has {0} dimensions. "
"".format(image.ndim))
elif image.shape[2] not in (3, 4):
if image.shape[2] > 4:
msg = ("The last axis of the input image is interpreted as "
"channels. Input image with shape {0} has {1} channels "
"in last axis. ``denoise_bilateral`` is implemented "
"for 2D grayscale and color images only")
warn(msg.format(image.shape, image.shape[2]))
else:
msg = "Input image must be grayscale, RGB, or RGBA; " \
"but has shape {0}."
warn(msg.format(image.shape))
else:
if image.ndim > 2:
raise ValueError("Bilateral filter is not implemented for "
"grayscale images of 3 or more dimensions, "
"but input image has {0} dimension. Use "
"``multichannel=True`` for 2-D RGB "
"images.".format(image.shape))
if win_size is None:
win_size = max(5, 2 * int(ceil(3 * sigma_spatial)) + 1)
return _denoise_bilateral(image, win_size, sigma_color, sigma_spatial,
bins, mode, cval)
def denoise_tv_bregman(image, weight, max_iter=100, eps=1e-3, isotropic=True):
"""Perform total-variation denoising using split-Bregman optimization.
Total-variation denoising (also know as total-variation regularization)
tries to find an image with less total-variation under the constraint
of being similar to the input image, which is controlled by the
regularization parameter ([1]_, [2]_, [3]_, [4]_).
Parameters
----------
image : ndarray
Input data to be denoised (converted using img_as_float`).
weight : float
Denoising weight. The smaller the `weight`, the more denoising (at
the expense of less similarity to the `input`). The regularization
parameter `lambda` is chosen as `2 * weight`.
eps : float, optional
Relative difference of the value of the cost function that determines
the stop criterion. The algorithm stops when::
SUM((u(n) - u(n-1))**2) < eps
max_iter : int, optional
Maximal number of iterations used for the optimization.
isotropic : boolean, optional
Switch between isotropic and anisotropic TV denoising.
Returns
-------
u : ndarray
Denoised image.
References
----------
.. [1] http://en.wikipedia.org/wiki/Total_variation_denoising
.. [2] Tom Goldstein and Stanley Osher, "The Split Bregman Method For L1
Regularized Problems",
ftp://ftp.math.ucla.edu/pub/camreport/cam08-29.pdf
.. [3] Pascal Getreuer, "Rudin–Osher–Fatemi Total Variation Denoising
using Split Bregman" in Image Processing On Line on 2012–05–19,
http://www.ipol.im/pub/art/2012/g-tvd/article_lr.pdf
.. [4] http://www.math.ucsb.edu/~cgarcia/UGProjects/BregmanAlgorithms_JacquelineBush.pdf
"""
return _denoise_tv_bregman(image, weight, max_iter, eps, isotropic)
def _denoise_tv_chambolle_nd(image, weight=0.1, eps=2.e-4, n_iter_max=200):
"""Perform total-variation denoising on n-dimensional images.
Parameters
----------
image : ndarray
n-D input data to be denoised.
weight : float, optional
Denoising weight. The greater `weight`, the more denoising (at
the expense of fidelity to `input`).
eps : float, optional
Relative difference of the value of the cost function that determines
the stop criterion. The algorithm stops when:
(E_(n-1) - E_n) < eps * E_0
n_iter_max : int, optional
Maximal number of iterations used for the optimization.
Returns
-------
out : ndarray
Denoised array of floats.
Notes
-----
Rudin, Osher and Fatemi algorithm.
"""
ndim = image.ndim
p = np.zeros((image.ndim, ) + image.shape, dtype=image.dtype)
g = np.zeros_like(p)
d = np.zeros_like(image)
i = 0
while i < n_iter_max:
if i > 0:
# d will be the (negative) divergence of p
d = -p.sum(0)
slices_d = [slice(None), ] * ndim
slices_p = [slice(None), ] * (ndim + 1)
for ax in range(ndim):
slices_d[ax] = slice(1, None)
slices_p[ax+1] = slice(0, -1)
slices_p[0] = ax
d[tuple(slices_d)] += p[tuple(slices_p)]
slices_d[ax] = slice(None)
slices_p[ax+1] = slice(None)
out = image + d
else:
out = image
E = (d ** 2).sum()
# g stores the gradients of out along each axis
# e.g. g[0] is the first order finite difference along axis 0
slices_g = [slice(None), ] * (ndim + 1)
for ax in range(ndim):
slices_g[ax+1] = slice(0, -1)
slices_g[0] = ax
g[tuple(slices_g)] = np.diff(out, axis=ax)
slices_g[ax+1] = slice(None)
norm = np.sqrt((g ** 2).sum(axis=0))[np.newaxis, ...]
E += weight * norm.sum()
tau = 1. / (2.*ndim)
norm *= tau / weight
norm += 1.
p -= tau * g
p /= norm
E /= float(image.size)
if i == 0:
E_init = E
E_previous = E
else:
if np.abs(E_previous - E) < eps * E_init:
break
else:
E_previous = E
i += 1
return out
def denoise_tv_chambolle(image, weight=0.1, eps=2.e-4, n_iter_max=200,
multichannel=False):
"""Perform total-variation denoising on n-dimensional images.
Parameters
----------
image : ndarray of ints, uints or floats
Input data to be denoised. `image` can be of any numeric type,
but it is cast into an ndarray of floats for the computation
of the denoised image.
weight : float, optional
Denoising weight. The greater `weight`, the more denoising (at
the expense of fidelity to `input`).
eps : float, optional
Relative difference of the value of the cost function that
determines the stop criterion. The algorithm stops when:
(E_(n-1) - E_n) < eps * E_0
n_iter_max : int, optional
Maximal number of iterations used for the optimization.
multichannel : bool, optional
Apply total-variation denoising separately for each channel. This
option should be true for color images, otherwise the denoising is
also applied in the channels dimension.
Returns
-------
out : ndarray
Denoised image.
Notes
-----
Make sure to set the multichannel parameter appropriately for color images.
The principle of total variation denoising is explained in
http://en.wikipedia.org/wiki/Total_variation_denoising
The principle of total variation denoising is to minimize the
total variation of the image, which can be roughly described as
the integral of the norm of the image gradient. Total variation
denoising tends to produce "cartoon-like" images, that is,
piecewise-constant images.
This code is an implementation of the algorithm of Rudin, Fatemi and Osher
that was proposed by Chambolle in [1]_.
References
----------
.. [1] A. Chambolle, An algorithm for total variation minimization and
applications, Journal of Mathematical Imaging and Vision,
Springer, 2004, 20, 89-97.
Examples
--------
2D example on astronaut image:
>>> from skimage import color, data
>>> img = color.rgb2gray(data.astronaut())[:50, :50]
>>> img += 0.5 * img.std() * np.random.randn(*img.shape)
>>> denoised_img = denoise_tv_chambolle(img, weight=60)
3D example on synthetic data:
>>> x, y, z = np.ogrid[0:20, 0:20, 0:20]
>>> mask = (x - 22)**2 + (y - 20)**2 + (z - 17)**2 < 8**2
>>> mask = mask.astype(np.float)
>>> mask += 0.2*np.random.randn(*mask.shape)
>>> res = denoise_tv_chambolle(mask, weight=100)
"""
im_type = image.dtype
if not im_type.kind == 'f':
image = img_as_float(image)
if multichannel:
out = np.zeros_like(image)
for c in range(image.shape[-1]):
out[..., c] = _denoise_tv_chambolle_nd(image[..., c], weight, eps,
n_iter_max)
else:
out = _denoise_tv_chambolle_nd(image, weight, eps, n_iter_max)
return out
def _bayes_thresh(details, var):
"""BayesShrink threshold for a zero-mean details coeff array."""
# Equivalent to: dvar = np.var(details) for 0-mean details array
dvar = np.mean(details*details)
eps = np.finfo(details.dtype).eps
thresh = var / np.sqrt(max(dvar - var, eps))
return thresh
def _universal_thresh(img, sigma):
""" Universal threshold used by the VisuShrink method """
return sigma*np.sqrt(2*np.log(img.size))
def _sigma_est_dwt(detail_coeffs, distribution='Gaussian'):
"""Calculate the robust median estimator of the noise standard deviation.
Parameters
----------
detail_coeffs : ndarray
The detail coefficients corresponding to the discrete wavelet
transform of an image.
distribution : str
The underlying noise distribution.
Returns
-------
sigma : float
The estimated noise standard deviation (see section 4.2 of [1]_).
References
----------
.. [1] D. L. Donoho and I. M. Johnstone. "Ideal spatial adaptation
by wavelet shrinkage." Biometrika 81.3 (1994): 425-455.
DOI:10.1093/biomet/81.3.425
"""
# Consider regions with detail coefficients exactly zero to be masked out
detail_coeffs = detail_coeffs[np.nonzero(detail_coeffs)]
if distribution.lower() == 'gaussian':
# 75th quantile of the underlying, symmetric noise distribution
denom = scipy.stats.norm.ppf(0.75)
sigma = np.median(np.abs(detail_coeffs)) / denom
else:
raise ValueError("Only Gaussian noise estimation is currently "
"supported")
return sigma
def _wavelet_threshold(image, wavelet, method=None, threshold=None,
sigma=None, mode='soft', wavelet_levels=None):
"""Perform wavelet thresholding.
Parameters
----------
image : ndarray (2d or 3d) of ints, uints or floats
Input data to be denoised. `image` can be of any numeric type,
but it is cast into an ndarray of floats for the computation
of the denoised image.
wavelet : string
The type of wavelet to perform. Can be any of the options
pywt.wavelist outputs. For example, this may be any of ``{db1, db2,
db3, db4, haar}``.
method : {'BayesShrink', 'VisuShrink'}, optional
Thresholding method to be used. The currently supported methods are
"BayesShrink" [1]_ and "VisuShrink" [2]_. If it is set to None, a
user-specified ``threshold`` must be supplied instead.
threshold : float, optional
The thresholding value to apply during wavelet coefficient
thresholding. The default value (None) uses the selected ``method`` to
estimate appropriate threshold(s) for noise removal.
sigma : float, optional
The standard deviation of the noise. The noise is estimated when sigma
is None (the default) by the method in [2]_.
mode : {'soft', 'hard'}, optional
An optional argument to choose the type of denoising performed. It
noted that choosing soft thresholding given additive noise finds the
best approximation of the original image.
wavelet_levels : int or None, optional
The number of wavelet decomposition levels to use. The default is
three less than the maximum number of possible decomposition levels
(see Notes below).
Returns
-------
out : ndarray
Denoised image.
References
----------
.. [1] Chang, S. Grace, Bin Yu, and Martin Vetterli. "Adaptive wavelet
thresholding for image denoising and compression." Image Processing,
IEEE Transactions on 9.9 (2000): 1532-1546.
DOI: 10.1109/83.862633
.. [2] D. L. Donoho and I. M. Johnstone. "Ideal spatial adaptation
by wavelet shrinkage." Biometrika 81.3 (1994): 425-455.
DOI: 10.1093/biomet/81.3.425
"""
wavelet = pywt.Wavelet(wavelet)
# original_extent is used to workaround PyWavelets issue #80
# odd-sized input results in an image with 1 extra sample after waverecn
original_extent = tuple(slice(s) for s in image.shape)
# Determine the number of wavelet decomposition levels
if wavelet_levels is None:
# Determine the maximum number of possible levels for image
dlen = wavelet.dec_len
wavelet_levels = np.min(
[pywt.dwt_max_level(s, dlen) for s in image.shape])
# Skip coarsest wavelet scales (see Notes in docstring).
wavelet_levels = max(wavelet_levels - 3, 1)
coeffs = pywt.wavedecn(image, wavelet=wavelet, level=wavelet_levels)
# Detail coefficients at each decomposition level
dcoeffs = coeffs[1:]
if sigma is None:
# Estimate the noise via the method in [2]_
detail_coeffs = dcoeffs[-1]['d' * image.ndim]
sigma = _sigma_est_dwt(detail_coeffs, distribution='Gaussian')
if method is not None and threshold is not None:
warn(("Thresholding method {} selected. The user-specified threshold "
"will be ignored.").format(method))
if threshold is None:
var = sigma**2
if method is None:
raise ValueError(
"If method is None, a threshold must be provided.")
elif method == "BayesShrink":
# The BayesShrink thresholds from [1]_ in docstring
threshold = [{key: _bayes_thresh(level[key], var) for key in level}
for level in dcoeffs]
elif method == "VisuShrink":
# The VisuShrink thresholds from [2]_ in docstring
threshold = _universal_thresh(image, sigma)
else:
raise ValueError("Unrecognized method: {}".format(method))
if np.isscalar(threshold):
# A single threshold for all coefficient arrays
denoised_detail = [{key: pywt.threshold(level[key],
value=threshold,
mode=mode) for key in level}
for level in dcoeffs]
else:
# Dict of unique threshold coefficients for each detail coeff. array
denoised_detail = [{key: pywt.threshold(level[key],
value=thresh[key],
mode=mode) for key in level}
for thresh, level in zip(threshold, dcoeffs)]
denoised_coeffs = [coeffs[0]] + denoised_detail
return pywt.waverecn(denoised_coeffs, wavelet)[original_extent]
def denoise_wavelet(image, sigma=None, wavelet='db1', mode='soft',
wavelet_levels=None, multichannel=False,
convert2ycbcr=False, method='BayesShrink'):
"""Perform wavelet denoising on an image.
Parameters
----------
image : ndarray ([M[, N[, ...P]][, C]) of ints, uints or floats
Input data to be denoised. `image` can be of any numeric type,
but it is cast into an ndarray of floats for the computation
of the denoised image.
sigma : float or list, optional
The noise standard deviation used when computing the wavelet detail
coefficient threshold(s). When None (default), the noise standard
deviation is estimated via the method in [2]_.
wavelet : string, optional
The type of wavelet to perform and can be any of the options
``pywt.wavelist`` outputs. The default is `'db1'`. For example,
``wavelet`` can be any of ``{'db2', 'haar', 'sym9'}`` and many more.
mode : {'soft', 'hard'}, optional
An optional argument to choose the type of denoising performed. It
noted that choosing soft thresholding given additive noise finds the
best approximation of the original image.
wavelet_levels : int or None, optional
The number of wavelet decomposition levels to use. The default is
three less than the maximum number of possible decomposition levels.
multichannel : bool, optional
Apply wavelet denoising separately for each channel (where channels
correspond to the final axis of the array).
convert2ycbcr : bool, optional
If True and multichannel True, do the wavelet denoising in the YCbCr
colorspace instead of the RGB color space. This typically results in
better performance for RGB images.
method : {'BayesShrink', 'VisuShrink'}, optional
Thresholding method to be used. The currently supported methods are
"BayesShrink" [1]_ and "VisuShrink" [2]_. Defaults to "BayesShrink".
Returns
-------
out : ndarray
Denoised image.
Notes
-----
The wavelet domain is a sparse representation of the image, and can be
thought of similarly to the frequency domain of the Fourier transform.
Sparse representations have most values zero or near-zero and truly random
noise is (usually) represented by many small values in the wavelet domain.
Setting all values below some threshold to 0 reduces the noise in the
image, but larger thresholds also decrease the detail present in the image.
If the input is 3D, this function performs wavelet denoising on each color
plane separately. The output image is clipped between either [-1, 1] and
[0, 1] depending on the input image range.
When YCbCr conversion is done, every color channel is scaled between 0
and 1, and `sigma` values are applied to these scaled color channels.
Many wavelet coefficient thresholding approaches have been proposed. By
default, ``denoise_wavelet`` applies BayesShrink, which is an adaptive
thresholding method that computes separate thresholds for each wavelet
sub-band as described in [1]_.
If ``method == "VisuShrink"``, a single "universal threshold" is applied to
all wavelet detail coefficients as described in [2]_. This threshold
is designed to remove all Gaussian noise at a given ``sigma`` with high
probability, but tends to produce images that appear overly smooth.
References
----------
.. [1] Chang, S. Grace, Bin Yu, and Martin Vetterli. "Adaptive wavelet
thresholding for image denoising and compression." Image Processing,
IEEE Transactions on 9.9 (2000): 1532-1546.
DOI: 10.1109/83.862633
.. [2] D. L. Donoho and I. M. Johnstone. "Ideal spatial adaptation
by wavelet shrinkage." Biometrika 81.3 (1994): 425-455.
DOI: 10.1093/biomet/81.3.425
Examples
--------
>>> from skimage import color, data
>>> img = img_as_float(data.astronaut())
>>> img = color.rgb2gray(img)
>>> img += 0.1 * np.random.randn(*img.shape)
>>> img = np.clip(img, 0, 1)
>>> denoised_img = denoise_wavelet(img, sigma=0.1)
"""
if method not in ["BayesShrink", "VisuShrink"]:
raise ValueError(
('Invalid method: {}. The currently supported methods are '
'"BayesShrink" and "VisuShrink"').format(method))
image = img_as_float(image)
if multichannel:
if isinstance(sigma, numbers.Number) or sigma is None:
sigma = [sigma] * image.shape[-1]
if multichannel:
if convert2ycbcr:
out = color.rgb2ycbcr(image)
for i in range(3):
# renormalizing this color channel to live in [0, 1]
min, max = out[..., i].min(), out[..., i].max()
channel = out[..., i] - min
channel /= max - min
out[..., i] = denoise_wavelet(channel, wavelet=wavelet,
method=method, sigma=sigma[i],
mode=mode,
wavelet_levels=wavelet_levels)
out[..., i] = out[..., i] * (max - min)
out[..., i] += min
out = color.ycbcr2rgb(out)
else:
out = np.empty_like(image)
for c in range(image.shape[-1]):
out[..., c] = _wavelet_threshold(image[..., c],
wavelet=wavelet,
method=method,
sigma=sigma[c], mode=mode,
wavelet_levels=wavelet_levels)
else:
out = _wavelet_threshold(image, wavelet=wavelet, method=method,
sigma=sigma, mode=mode,
wavelet_levels=wavelet_levels)
clip_range = (-1, 1) if image.min() < 0 else (0, 1)
return np.clip(out, *clip_range)
def estimate_sigma(image, average_sigmas=False, multichannel=False):
"""
Robust wavelet-based estimator of the (Gaussian) noise standard deviation.
Parameters
----------
image : ndarray
Image for which to estimate the noise standard deviation.
average_sigmas : bool, optional
If true, average the channel estimates of `sigma`. Otherwise return
a list of sigmas corresponding to each channel.
multichannel : bool
Estimate sigma separately for each channel.
Returns
-------
sigma : float or list
Estimated noise standard deviation(s). If `multichannel` is True and
`average_sigmas` is False, a separate noise estimate for each channel
is returned. Otherwise, the average of the individual channel
estimates is returned.
Notes
-----
This function assumes the noise follows a Gaussian distribution. The
estimation algorithm is based on the median absolute deviation of the
wavelet detail coefficients as described in section 4.2 of [1]_.
References
----------
.. [1] D. L. Donoho and I. M. Johnstone. "Ideal spatial adaptation
by wavelet shrinkage." Biometrika 81.3 (1994): 425-455.
DOI:10.1093/biomet/81.3.425
Examples
--------
>>> import skimage.data
>>> from skimage import img_as_float
>>> img = img_as_float(skimage.data.camera())
>>> sigma = 0.1
>>> img = img + sigma * np.random.standard_normal(img.shape)
>>> sigma_hat = estimate_sigma(img, multichannel=False)
"""
if multichannel:
nchannels = image.shape[-1]
sigmas = [estimate_sigma(
image[..., c], multichannel=False) for c in range(nchannels)]
if average_sigmas:
sigmas = np.mean(sigmas)
return sigmas
elif image.shape[-1] <= 4:
msg = ("image is size {0} on the last axis, but multichannel is "
"False. If this is a color image, please set multichannel "
"to True for proper noise estimation.")
warn(msg.format(image.shape[-1]))
coeffs = pywt.dwtn(image, wavelet='db2')
detail_coeffs = coeffs['d' * image.ndim]
return _sigma_est_dwt(detail_coeffs, distribution='Gaussian')
|
py | 1a4a86e091f4c889efa4f3e1720e30c7808628a4 | from recsys.preprocess import *
from sklearn import model_selection
import numpy as np
from recsys.utility import *
RANDOM_STATE = 42
np.random.seed(RANDOM_STATE)
train = get_train()
target_playlist = get_target_playlists()
target_tracks = get_target_tracks()
# Uncomment if you want to test
# train, test, target_playlist, target_tracks = train_test_split(train, test_size=0.20)
most_popular = get_most_popular_tracks(train)
tracks_in_playlist = get_playlist_track_list2(train)
tracks_to_suggest = most_popular.index.values
predictions = []
predictions = pd.DataFrame(target_playlist)
predictions.index = target_playlist['playlist_id']
predictions['track_ids'] = [np.array([]) for i in range(len(predictions))]
for it,row in target_playlist.iterrows():
count = 0
i = 0
pred = []
while count < 5:
if tracks_to_suggest[i] not in tracks_in_playlist.loc[row['playlist_id']]['track_ids']:
# Predict track i
# IMPORTANT: should we check if the track to suggest is in target_tracks?
pred.append(tracks_to_suggest[i])
count += 1
i += 1
predictions.loc[row['playlist_id']] = predictions.loc[row['playlist_id']].set_value('track_ids', np.array(pred))
# To evaluate, just use:
# evaluate(recommendations=predictions, test=test)
# Make the dataframe friendly for output -> convert np.array in string
predictions['track_ids'] = predictions['track_ids'].apply(lambda x : ' '.join(map(str, x)))
predictions.to_csv('results.csv', index=False)
|
py | 1a4a873c67d37d949adb61c38ccf802c3e202634 | """
Engines API
Allow clients to fetch Analytics through APIs. # noqa: E501
The version of the OpenAPI document: v3:[pa,spar,vault,pub,quant,fi,axp,afi,npo,bpm,fpo,others],v1:[fiab]
Contact: [email protected]
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sys # noqa: F401
from fds.analyticsapi.engines.model_utils import ( # noqa: F401
ApiTypeError,
ModelComposed,
ModelNormal,
ModelSimple,
cached_property,
change_keys_js_to_python,
convert_js_args_to_python_args,
date,
datetime,
file_type,
none_type,
validate_get_composed_info,
)
class QuantFormula(ModelNormal):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
Attributes:
allowed_values (dict): The key is the tuple path to the attribute
and the for var_name this is (var_name,). The value is a dict
with a capitalized key describing the allowed value and an allowed
value. These dicts store the allowed enum values.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
discriminator_value_class_map (dict): A dict to go from the discriminator
variable value to the discriminator class name.
validations (dict): The key is the tuple path to the attribute
and the for var_name this is (var_name,). The value is a dict
that stores validations for max_length, min_length, max_items,
min_items, exclusive_maximum, inclusive_maximum, exclusive_minimum,
inclusive_minimum, and regex.
additional_properties_type (tuple): A tuple of classes accepted
as additional properties values.
"""
allowed_values = {
('source',): {
'SCREENINGEXPRESSION': "ScreeningExpression",
'FQLEXPRESSION': "FqlExpression",
'UNIVERSALSCREENPARAMETER': "UniversalScreenParameter",
'ALLUNIVERSALSCREENPARAMETERS': "AllUniversalScreenParameters",
},
}
validations = {
}
additional_properties_type = None
_nullable = False
@cached_property
def openapi_types():
"""
This must be a method because a model may have properties that are
of type self, this must run after the class is loaded
Returns
openapi_types (dict): The key is attribute name
and the value is attribute type.
"""
return {
'source': (str,), # noqa: E501
}
@cached_property
def discriminator():
return None
attribute_map = {
'source': 'source', # noqa: E501
}
_composed_schemas = {}
required_properties = set([
'_data_store',
'_check_type',
'_spec_property_naming',
'_path_to_item',
'_configuration',
'_visited_composed_classes',
])
@convert_js_args_to_python_args
def __init__(self, source, *args, **kwargs): # noqa: E501
"""QuantFormula - a model defined in OpenAPI
Args:
source (str):
Keyword Args:
_check_type (bool): if True, values for parameters in openapi_types
will be type checked and a TypeError will be
raised if the wrong type is input.
Defaults to True
_path_to_item (tuple/list): This is a list of keys or values to
drill down to the model in received_data
when deserializing a response
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_configuration (Configuration): the instance to use when
deserializing a file_type parameter.
If passed, type conversion is attempted
If omitted no type conversion is done.
_visited_composed_classes (tuple): This stores a tuple of
classes that we have traveled through so that
if we see that class again we will not use its
discriminator again.
When traveling through a discriminator, the
composed schema that is
is traveled through is added to this set.
For example if Animal has a discriminator
petType and we pass in "Dog", and the class Dog
allOf includes Animal, we move through Animal
once using the discriminator, and pick Dog.
Then in Dog, we will make an instance of the
Animal class but this time we won't travel
through its discriminator because we passed in
_visited_composed_classes = (Animal,)
"""
_check_type = kwargs.pop('_check_type', True)
_spec_property_naming = kwargs.pop('_spec_property_naming', False)
_path_to_item = kwargs.pop('_path_to_item', ())
_configuration = kwargs.pop('_configuration', None)
_visited_composed_classes = kwargs.pop('_visited_composed_classes', ())
if args:
raise ApiTypeError(
"Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments." % (
args,
self.__class__.__name__,
),
path_to_item=_path_to_item,
valid_classes=(self.__class__,),
)
self._data_store = {}
self._check_type = _check_type
self._spec_property_naming = _spec_property_naming
self._path_to_item = _path_to_item
self._configuration = _configuration
self._visited_composed_classes = _visited_composed_classes + (self.__class__,)
self.source = source
for var_name, var_value in kwargs.items():
if var_name not in self.attribute_map and \
self._configuration is not None and \
self._configuration.discard_unknown_keys and \
self.additional_properties_type is None:
# discard variable.
continue
setattr(self, var_name, var_value)
|
py | 1a4a8752d798311d6e71b6ef2672502a18119691 | # 2021/5/12
# sou meirin
# Done
import cv2
def video2frame(src, tgt):
cap = cv2.VideoCapture(src)
count = 0
while 1:
ret, frame = cap.read()
if ret:
cv2.imwrite(tgt + "/" + str('%06d' % count) + ".jpg", frame)
count += 1
else:
break
cap.release()
if __name__ == '__main__':
video2frame('/Users/songminglun/Documents/ILCS/murase/murase.mp4', '/Users/songminglun/Documents/ILCS/murase/murase')
print('Done')
|
py | 1a4a88209c5b56a9032620c0c98c37e5e81d87a9 | """
Custom `Screen` class for the `pyte` library.
Changes compared to the original `Screen` class:
- We store the layout in a dict instead of a list, in order to have a
scalable window. When the window size is reduced and increased again, the
hidden text will appear again.
- 256 colour support (xterm)
- Per character diffs instead of per line diffs.
"""
from collections import defaultdict
from pyte import charsets as cs
from pyte import modes as mo
from pyte.graphics import FG, BG
from pyte.screens import Margins, Cursor, Char
import pyte
from .log import logger
# Patch pyte.graphics to accept High intensity colours as well.
FG.update({
90: "hi_fg_1",
91: "hi_fg_2",
92: "hi_fg_3",
93: "hi_fg_4",
94: "hi_fg_5",
95: "hi_fg_6",
96: "hi_fg_7",
97: "hi_fg_8",
98: "hi_fg_9",
99: "hi_fg_10",
})
BG.update({
100: "hi_bg_1",
101: "hi_bg_2",
102: "hi_bg_3",
103: "hi_bg_4",
104: "hi_bg_5",
105: "hi_bg_6",
106: "hi_bg_7",
107: "hi_bg_8",
108: "hi_bg_9",
109: "hi_bg_10",
})
class BetterScreen(pyte.Screen):
swap_variables = [
'mode',
'margins',
'charset',
'g0_charset',
'g1_charset',
'tabstops',
'cursor',
'line_offset',
]
def __init__(self, lines, columns):
self.lines = lines
self.columns = columns
self.reset()
def __before__(self, command):
return
logger.info(' %r' % command)
def reset(self):
self.buffer = defaultdict(lambda: defaultdict(lambda: Char(data=' ')))
self.mode = set([mo.DECAWM, mo.DECTCEM])
self.margins = Margins(0, self.lines - 1)
self.line_offset = 0 # Index of the line that's currently displayed on top.
# According to VT220 manual and ``linux/drivers/tty/vt.c``
# the default G0 charset is latin-1, but for reasons unknown
# latin-1 breaks ascii-graphics; so G0 defaults to cp437.
self.charset = 0
self.g0_charset = cs.IBMPC_MAP
self.g1_charset = cs.VT100_MAP
# From ``man terminfo`` -- "... hardware tabs are initially
# set every `n` spaces when the terminal is powered up. Since
# we aim to support VT102 / VT220 and linux -- we use n = 8.
self.tabstops = set(range(7, self.columns, 8))
self.cursor = Cursor(0, 0)
self.cursor_position()
def dump_character_diff(self, previous_dump):
"""
Create a copy of the visible buffer.
"""
space = Char(data=' ')
result = defaultdict(lambda: defaultdict(lambda: Char(data=' ')))
offset = self.line_offset
def chars_eq(c1, c2):
return c1 == c2 #or (c1.data == ' ' and c2.data == ' ') # TODO: unless they have a background or underline, etc...
for y in range(0, self.lines):
if (y + offset) in self.buffer:
line = self.buffer[y + offset]
else:
# Empty line
line = defaultdict(lambda: Char(data=' '))
for x in range(0, self.columns):
char = line.get(x, space)
#if not previous_dump or previous_dump[y][x] != char:
if not (previous_dump and chars_eq(previous_dump[y][x], char)):
result[y][x] = char
return result
def resize(self, lines=None, columns=None):
# don't do anything except saving the dimensions
self.lines = lines if lines is not None else self.lines
self.columns = columns if columns is not None else self.columns
self._reset_offset_and_margins()
def _reset_offset_and_margins(self):
"""
Recalculate offset and move cursor (make sure that the bottom is
visible.)
"""
self.margins = Margins(0, self.lines - 1)
if self.buffer:
new_line_offset = max(0, max(self.buffer.keys()) - self.lines + 4)
self.cursor.y += (self.line_offset - new_line_offset)
self.line_offset = new_line_offset # TODO: maybe put this in a scroll_offset function.
def set_mode(self, *modes, **kwargs):
# Private mode codes are shifted, to be distingiushed from non
# private ones.
if kwargs.get("private"):
modes = [mode << 5 for mode in modes]
self.mode.update(modes)
# When DECOLM mode is set, the screen is erased and the cursor
# moves to the home position.
if mo.DECCOLM in modes:
self.resize(columns=132)
self.erase_in_display(2)
self.cursor_position()
# According to `vttest`, DECOM should also home the cursor, see
# vttest/main.c:303.
if mo.DECOM in modes:
self.cursor_position()
# Mark all displayed characters as reverse. # TODO !!
if mo.DECSCNM in modes:
for line in self.buffer.values():
for pos, char in line.items():
line[pos] = char._replace(reverse=True)
self.select_graphic_rendition(g._SGR["+reverse"])
# Make the cursor visible.
if mo.DECTCEM in modes:
self.cursor.hidden = False
# On "\e[?1049h", enter alternate screen mode. Backup the current state,
if (1049 << 5) in modes:
self._original_screen = self.buffer
self._original_screen_vars = \
{ v:getattr(self, v) for v in self.swap_variables }
self.reset()
self._reset_offset_and_margins()
def reset_mode(self, *modes, **kwargs):
# Private mode codes are shifted, to be distingiushed from non
# private ones.
if kwargs.get("private"):
modes = [mode << 5 for mode in modes]
self.mode.difference_update(modes)
# Lines below follow the logic in :meth:`set_mode`.
if mo.DECCOLM in modes:
self.resize(columns=80)
self.erase_in_display(2)
self.cursor_position()
if mo.DECOM in modes:
self.cursor_position()
if mo.DECSCNM in modes: # TODO verify!!
for line in self.buffer.values():
for pos, char in line.items():
line[pos] = char._replace(reverse=False)
self.select_graphic_rendition(g._SGR["-reverse"])
# Hide the cursor.
if mo.DECTCEM in modes:
self.cursor.hidden = True
# On "\e[?1049l", restore from alternate screen mode.
if (1049 << 5) in modes and self._original_screen:
for k, v in self._original_screen_vars.items():
setattr(self, k, v)
self.buffer = self._original_screen
self._original_screen = None
self._original_screen_vars = {}
self._reset_offset_and_margins()
def draw(self, char):
# Translating a given character.
char = char.translate([self.g0_charset,
self.g1_charset][self.charset])
# If this was the last column in a line and auto wrap mode is
# enabled, move the cursor to the beginning of the next line,
# otherwise replace characters already displayed with newly
# entered.
if self.cursor.x == self.columns:
if mo.DECAWM in self.mode:
self.carriage_return()
self.linefeed()
else:
self.cursor.x -= 1
# If Insert mode is set, new characters move old characters to
# the right, otherwise terminal is in Replace mode and new
# characters replace old characters at cursor position.
if mo.IRM in self.mode:
self.insert_characters(1)
self._set_char(self.cursor.x, self.cursor.y,
self.cursor.attrs._replace(data=char))
# .. note:: We can't use :meth:`cursor_forward()`, because that
# way, we'll never know when to linefeed.
self.cursor.x += 1
def _set_char(self, x, y, char):
self.buffer[y + self.line_offset][x] = char
def index(self):
"""Move the cursor down one line in the same column. If the
cursor is at the last line, create a new line at the bottom.
"""
top, bottom = self.margins
# When scrolling over the full screen -> keep history.
if top == 0 and bottom == self.lines - 1:
if self.cursor.y == self.lines - 1:
self.line_offset += 1
else:
self.cursor_down()
else:
if self.cursor.y == bottom:
for line in range(top, bottom):
self.buffer[line] = self.buffer[line+1]
del self.buffer[line+1]
else:
self.cursor_down()
def reverse_index(self): # XXX: Used when going multiline with bash. (only second part tested.)
top, bottom = self.margins
# When scrolling over the full screen -> keep history.
if self.cursor.y == top:
for line in range(bottom, top, -1):
self.buffer[line] = self.buffer[line-1]
del self.buffer[line-1]
else:
self.cursor_up()
def insert_lines(self, count=None):
"""Inserts the indicated # of lines at line with cursor. Lines
displayed **at** and below the cursor move down. Lines moved
past the bottom margin are lost.
:param count: number of lines to delete.
"""
count = count or 1
top, bottom = self.margins
# If cursor is outside scrolling margins it -- do nothin'.
if top <= self.cursor.y <= bottom:
#if (bottom + self.line_offset) in self.buffer:
# del self.buffer[bottom + self.line_offset]
for line in range(bottom, self.cursor.y + count - 1, -1):
self.buffer[line + self.line_offset] = self.buffer[line + self.line_offset - count]
del self.buffer[line + self.line_offset - count]
self.carriage_return()
def delete_lines(self, count=None):
"""Deletes the indicated # of lines, starting at line with
cursor. As lines are deleted, lines displayed below cursor
move up. Lines added to bottom of screen have spaces with same
character attributes as last line moved up.
:param int count: number of lines to delete.
"""
count = count or 1
top, bottom = self.margins
# If cursor is outside scrolling margins it -- do nothin'.
if top <= self.cursor.y <= bottom:
for line in range(self.cursor.y, bottom - count, -1):
self.buffer[line + self.line_offset] = self.buffer[line + self.line_offset + count]
del self.buffer[line + self.line_offset + count]
def insert_characters(self, count=None): # XXX: used by pressing space in bash vi mode
"""Inserts the indicated # of blank characters at the cursor
position. The cursor does not move and remains at the beginning
of the inserted blank characters. Data on the line is shifted
forward.
:param int count: number of characters to insert.
"""
count = count or 1
line = self.buffer[self.cursor.y + self.line_offset]
max_columns = max(line.keys())
for i in range(max_columns, self.cursor.x, -1):
line[i + count] = line[i]
del line[i]
def delete_characters(self, count=None): # XXX: used by pressing 'x' on bash vi mode
count = count or 1
line = self.buffer[self.cursor.y + self.line_offset]
max_columns = max(line.keys())
for i in range(self.cursor.x, max_columns):
line[i] = line[i + count]
del line[i + count]
def erase_characters(self, count=None):
raise NotImplementedError('erase_characters not implemented') # TODO
def erase_in_line(self, type_of=0, private=False):
"""Erases a line in a specific way.
:param int type_of: defines the way the line should be erased in:
* ``0`` -- Erases from cursor to end of line, including cursor
position.
* ``1`` -- Erases from beginning of line to cursor,
including cursor position.
* ``2`` -- Erases complete line.
:param bool private: when ``True`` character attributes aren left
unchanged **not implemented**.
"""
def should_we_delete(column): # TODO: check for off-by-one errors!
if type_of == 0:
return column >= self.cursor.x
if type_of == 1:
return column <= self.cursor.x
if type_of == 2:
return True
line = self.buffer[self.cursor.y + self.line_offset]
for column in list(line.keys()):
if should_we_delete(column):
del line[column]
def erase_in_display(self, type_of=0, private=False):
"""Erases display in a specific way.
:param int type_of: defines the way the line should be erased in:
* ``0`` -- Erases from cursor to end of screen, including
cursor position.
* ``1`` -- Erases from beginning of screen to cursor,
including cursor position.
* ``2`` -- Erases complete display. All lines are erased
and changed to single-width. Cursor does not move.
:param bool private: when ``True`` character attributes aren left
unchanged **not implemented**.
"""
interval = (
# a) erase from cursor to the end of the display, including
# the cursor,
range(self.cursor.y + 1, self.lines),
# b) erase from the beginning of the display to the cursor,
# including it,
range(0, self.cursor.y),
# c) erase the whole display.
range(0, self.lines)
)[type_of]
for line in interval: # TODO: from where the -1 in the index below??
self.buffer[line + self.line_offset] = defaultdict(lambda: Char(data=' '))
# In case of 0 or 1 we have to erase the line with the cursor.
if type_of in [0, 1]:
self.erase_in_line(type_of)
def alignment_display(self):
for y in range(0, self.lines):
line = self.buffer[y + self.line_offset]
for x in range(0, self.columns):
line[x] = Char('E')
def select_graphic_rendition(self, *attrs):
""" Support 256 colours """
g = pyte.graphics
replace = {}
if not attrs:
attrs = [0]
else:
attrs = list(attrs[::-1])
while attrs:
attr = attrs.pop()
if attr in g.FG:
replace["fg"] = g.FG[attr]
elif attr in g.BG:
replace["bg"] = g.BG[attr]
elif attr in g.TEXT:
attr = g.TEXT[attr]
replace[attr[1:]] = attr.startswith("+")
elif not attr:
replace = self.default_char._asdict()
elif attr in (38, 48):
n = attrs.pop()
if n != 5:
continue
if attr == 38:
m = attrs.pop()
replace["fg"] = 1024 + m
elif attr == 48:
m = attrs.pop()
replace["bg"] = 1024 + m
self.cursor.attrs = self.cursor.attrs._replace(**replace)
# See tmux/input.c, line: 1388
|
py | 1a4a8825ee7eca577dae79aefb54e0752d7e2f98 | import torch
from torch import nn
from torch.nn import functional as F
from models import infogan
class Encoder(nn.Module):
def __init__(self, latent_dim: int):
super().__init__()
self.h1_nchan = 64
self.conv1 = nn.Sequential(
nn.Conv2d(1, self.h1_nchan, kernel_size=4, stride=2, padding=1),
nn.LeakyReLU(.1, inplace=True)
)
self.h2_nchan = 128
self.conv2 = nn.Sequential(
nn.Conv2d(self.h1_nchan, self.h2_nchan, kernel_size=4, stride=2, padding=1),
nn.BatchNorm2d(self.h2_nchan),
nn.LeakyReLU(.1, inplace=True)
)
self.h3_dim = 1024
self.fc1 = nn.Sequential(
nn.Linear(7 * 7 * self.h2_nchan, self.h3_dim),
nn.BatchNorm1d(self.h3_dim),
nn.LeakyReLU(.1, inplace=True)
)
self.fc2_mean = nn.Linear(self.h3_dim, latent_dim)
self.fc2_logvar = nn.Linear(self.h3_dim, latent_dim)
def forward(self, x):
x = self.conv1(x)
x = self.conv2(x).view(-1, 7 * 7 * self.h2_nchan)
x = self.fc1(x)
mean = self.fc2_mean(x)
logvar = self.fc2_logvar(x)
return mean, logvar
Decoder = infogan.Generator
def sample_noise(num, dim, device=None) -> torch.Tensor:
return torch.randn(num, dim, device=device)
class VAE(nn.Module):
def __init__(self, latent_dim: int):
super().__init__()
self.latent_dim = latent_dim
self.enc = Encoder(self.latent_dim)
self.dec = Decoder(self.latent_dim)
self.apply(_weights_init)
def sample_latent(self, num: int):
return sample_noise(num, self.latent_dim, self.device)
def sample_posterior(self, data, num: int = 1):
noise = torch.randn(data.shape[0], num, self.latent_dim, device=self.device)
mean, logvar = self.enc(data)
latent = mean.unsqueeze(1) + (.5 * logvar).exp().unsqueeze(1) * noise
def forward(self, data):
noise = self.sample_latent(data.shape[0])
mean, logvar = self.enc(data)
latent = mean + (.5 * logvar).exp() * noise
recon = self.dec(latent)
return mean, logvar, latent, recon
@property
def device(self):
return next(self.parameters()).device
def _weights_init(m):
classname = m.__class__.__name__
if 'Conv' in classname:
nn.init.xavier_uniform_(m.weight.data)
if m.bias is not None:
nn.init.constant_(m.bias.data, 0.)
elif 'BatchNorm' in classname:
nn.init.normal_(m.weight.data, 1.0, 0.02)
nn.init.constant_(m.bias.data, 0.)
class Trainer(nn.Module):
def __init__(self, model: VAE, beta: float = 1., lr: float = 1e-3):
super().__init__()
self.model = model
self.beta = beta
params = list(self.model.enc.parameters()) + list(self.model.dec.parameters())
self.opt = torch.optim.Adam(params, lr=lr, betas=(.5, .99))
def step(self, real_data, verbose: bool = False):
mean, logvar, latent, fake_data = self.model(real_data)
rec_loss = F.binary_cross_entropy(fake_data, (real_data > .5).float(), size_average=False)
# rec_loss = F.binary_cross_entropy(fake_data, real_data, size_average=False)
kl_div = -.5 * (1. + logvar - mean ** 2 - logvar.exp()).sum()
self.opt.zero_grad()
(rec_loss + self.beta * kl_div).backward()
self.opt.step()
if verbose:
print(f"rec_loss = {rec_loss.item():6g}, KL_div = {kl_div.item():6g}, ")
def forward(self, real_data, verbose: bool = False):
self.step(real_data, verbose)
|
py | 1a4a887e46334474ef61a9242b6b793ed3c5a4f0 | import gym
__all__ = ['SkipWrapper']
def SkipWrapper(repeat_count):
class SkipWrapper(gym.Wrapper):
"""
Generic common frame skipping wrapper
Will perform action for `x` additional steps
"""
def __init__(self, env):
super(SkipWrapper, self).__init__(env)
self.repeat_count = repeat_count
self.stepcount = 0
def _step(self, action):
done = False
total_reward = 0
current_step = 0
while current_step < (self.repeat_count + 1) and not done:
self.stepcount += 1
obs, reward, done, info = self.env.step(action)
total_reward += reward
current_step += 1
if 'skip.stepcount' in info:
raise gym.error.Error('Key "skip.stepcount" already in info. Make sure you are not stacking ' \
'the SkipWrapper wrappers.')
info['skip.stepcount'] = self.stepcount
return obs, total_reward, done, info
def _reset(self, **kwargs):
self.stepcount = 0
return self.env.reset(**kwargs)
return SkipWrapper
|
py | 1a4a88a36164768da53a791735fa75c4108a63a1 | # @staticmethod
# def default_agent_config():
# agent_config = AgentConfig()
# # Sensors
# # Sensors define the observation space
# # Params for all sensors:
# # - tick_every_frame
# # - tick_every_n_frames
# # - tick_every_x_seconds
# agent_config.add_sensor(
# "Movement",
# {
# "location": "absolute",
# "velocity": "absolute"
# }
# )
# # Capture the scene as an image itslef
# # agent_config.add_sensor(
# # "Camera",
# # {
# # "width":
# # "height":
# # "camera_index":
# # "capture_source":
# # }
# # )
# # this is needed if you want your input to work
# # Actuator mock the player's input
# # they define the action space
# # see void ``U4MLActuator_InputKey::Act(const float DeltaTime)`` |
py | 1a4a88a3ebdf920ab256ec8230944b459ebf98c3 | #!/usr/bin/env python
# coding: utf-8
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from __future__ import unicode_literals
# Command line :
# python -m benchmark.VAR.GG.NN
import os
import logging
from config import SEED
from config import _ERROR
from config import _TRUTH
import numpy as np
import pandas as pd
from visual.misc import set_plot_config
set_plot_config()
from utils.log import set_logger
from utils.log import flush
from utils.log import print_line
from utils.model import get_model
from utils.model import get_optimizer
from utils.model import train_or_load_classifier
from utils.evaluation import evaluate_summary_computer
from utils.images import gather_images
from visual.misc import plot_params
from problem.gamma_gauss import GGConfig as Config
from problem.gamma_gauss import Generator
from problem.gamma_gauss import param_generator
from problem.gamma_gauss import GGNLL as NLLComputer
from model.neural_network import NeuralNetClassifier
from archi.classic import L4 as ARCHI
from ...my_argparser import NET_parse_args
DATA_NAME = 'GG'
BENCHMARK_NAME = 'VAR-'+DATA_NAME
N_ITER = 30
def build_model(args, i_cv):
args.net = ARCHI(n_in=1, n_out=2, n_unit=args.n_unit)
args.optimizer = get_optimizer(args)
model = get_model(args, NeuralNetClassifier)
model.set_info(DATA_NAME, BENCHMARK_NAME, i_cv)
return model
# =====================================================================
# MAIN
# =====================================================================
def main():
# BASIC SETUP
logger = set_logger()
args = NET_parse_args(main_description="Training launcher for INFERNO on GG benchmark")
logger.info(args)
flush(logger)
# INFO
model = build_model(args, -1)
os.makedirs(model.results_directory, exist_ok=True)
# RUN
logger.info(f'Running runs [{args.start_cv},{args.end_cv}[')
results = [run(args, i_cv) for i_cv in range(args.start_cv, args.end_cv)]
results = pd.concat(results, ignore_index=True)
# EVALUATION
results.to_csv(os.path.join(model.results_directory, 'threshold.csv'))
print(results)
print("DONE !")
def run(args, i_cv):
logger = logging.getLogger()
print_line()
logger.info('Running iter n°{}'.format(i_cv))
print_line()
# LOAD/GENERATE DATA
logger.info('Set up data generator')
config = Config()
seed = SEED + i_cv * 5
train_generator = Generator(seed)
valid_generator = Generator(seed+1)
test_generator = Generator(seed+2)
# SET MODEL
logger.info('Set up classifier')
model = build_model(args, i_cv)
os.makedirs(model.results_path, exist_ok=True)
flush(logger)
# TRAINING / LOADING
train_or_load_classifier(model, train_generator, config.CALIBRATED, config.N_TRAINING_SAMPLES, retrain=args.retrain)
# MEASUREMENT
result_row = {'i_cv': i_cv}
results = []
for test_config in config.iter_test_config():
logger.info(f"Running test set : {test_config.TRUE}, {test_config.N_TESTING_SAMPLES} samples")
for threshold in np.linspace(0, 1, 500):
result_row = {'i_cv': i_cv}
result_row['threshold'] = threshold
result_row.update(test_config.TRUE.to_dict(prefix='true_'))
result_row['n_test_samples'] = test_config.N_TESTING_SAMPLES
X, y, w = valid_generator.generate(*config.TRUE, n_samples=config.N_VALIDATION_SAMPLES)
proba = model.predict_proba(X)
decision = proba[:, 1]
selected = decision > threshold
beta = np.sum(y[selected] == 0)
gamma = np.sum(y[selected] == 1)
result_row['beta'] = beta
result_row['gamma'] = gamma
X, y, w = test_generator.generate(*config.TRUE, n_samples=config.N_VALIDATION_SAMPLES)
proba = model.predict_proba(X)
decision = proba[:, 1]
selected = decision > threshold
n_selected = np.sum(selected)
n_selected_bkg = np.sum(y[selected] == 0)
n_selected_sig = np.sum(y[selected] == 1)
result_row['n'] = n_selected
result_row['b'] = n_selected_bkg
result_row['s'] = n_selected_sig
result_row['s_sqrt_n'] = n_selected_sig / np.sqrt(n_selected)
result_row['s_sqrt_b'] = n_selected_sig / np.sqrt(n_selected)
results.append(result_row.copy())
results = pd.DataFrame(results)
print(results)
return results
if __name__ == '__main__':
main()
|
py | 1a4a88c5c06bba42e40ac297401ca08b86401416 | # -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2018-03-09 16:04
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("notifications", "0002_add_notifications")]
operations = [
migrations.AlterField(
model_name="emailnotification",
name="state",
field=models.CharField(
choices=[
("pending", "Pending"),
("sending", "Sending"),
("sent", "Sent"),
("canceled", "Canceled"),
],
default="pending",
max_length=10,
),
)
]
|
py | 1a4a897d292ce57efe81f5e63fe8947da1ecaa09 | import argparse
from tdw.controller import Controller
from tdw.remote_build_launcher import RemoteBuildLauncher
class MinimalRemote(Controller):
"""
A minimal example of how to use the launch binaries daemon to
start and connect to a build on a remote node. Note: the remote
must be running binary_manager.py.
"""
def __init__(self):
args = self.parse_args()
build_info = RemoteBuildLauncher.launch_build(args.listening_port,
args.build_address,
args.controller_address)
super().__init__(port=build_info["build_port"])
def parse_args(self):
"""
Helper function that parses command line arguments .
Returns parsed args.
"""
parser = argparse.ArgumentParser()
parser.add_argument(
"--listening_port",
default="5556",
type=str,
help="Port on which binary_manager is listening",
)
parser.add_argument(
"--build_address",
default="node14-ccncluster.stanford.edu",
type=str,
help="IP/hostname on which to launch build",
)
parser.add_argument(
"--controller_address",
default="node05-ccncluster.stanford.edu",
type=str,
help="Address of controller",
)
args = parser.parse_args()
return args
def run(self):
# Create an empty environment.
self.communicate({"$type": "create_empty_environment"})
for i in range(100):
# Do nothing. Receive a response from the build.
resp = self.communicate([])
print(resp)
self.communicate({"$type": "terminate"})
if __name__ == "__main__":
MinimalRemote().run()
|
py | 1a4a8d1fb4217c2e3e8b119c43eb66dcd770105d | # Copyright (C) 2019 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Test bulk issuetracker synchronization."""
# pylint: disable=too-many-lines,invalid-name
import unittest
from collections import OrderedDict
import ddt
import mock
from flask import g
from ggrc import settings
from ggrc import db
from ggrc import views
from ggrc.notifications import data_handlers
from ggrc.integrations import integrations_errors
from ggrc.integrations import issuetracker_bulk_sync
from ggrc.integrations import constants
from ggrc.integrations.synchronization_jobs import sync_utils
from ggrc.models import all_models, inflector
from ggrc.models.hooks.issue_tracker import issue_tracker_params_builder
from integration.ggrc import TestCase, generator
from integration.ggrc.api_helper import Api
from integration.ggrc.models import factories
class TestBulkIssuesSync(TestCase):
"""Base class for bulk issuetracker synchronization tests."""
def setUp(self):
"""Set up for test methods."""
super(TestBulkIssuesSync, self).setUp()
self.api = Api()
self.gen = generator.ObjectGenerator()
self.role_people = {
"Audit Captains": factories.PersonFactory(email="[email protected]"),
"Creators": factories.PersonFactory(email="[email protected]"),
"Assignees": factories.PersonFactory(email="[email protected]"),
"Verifiers": factories.PersonFactory(email="[email protected]"),
}
self.issue_id = "42"
def setup_assessments(self, asmnt_count, issue_id=None, enabled=True):
"""Create Audit with couple of Assessments and linked IssueTrackerIssues.
Args:
asmnt_count: Count of Assessments in Audit.
Returns:
Tuple with Audit id and list of Assessment ids.
"""
with factories.single_commit():
audit = factories.AuditFactory()
audit.add_person_with_role_name(
self.role_people["Audit Captains"],
"Audit Captains",
)
factories.IssueTrackerIssueFactory(
enabled=enabled,
issue_tracked_obj=audit,
issue_id=issue_id,
issue_type=constants.DEFAULT_ISSUETRACKER_VALUES['issue_type'],
component_id=12345,
hotlist_id=12345,
issue_priority="P2",
issue_severity="S2",
)
assessment_ids = []
for _ in range(asmnt_count):
asmnt = factories.AssessmentFactory(audit=audit)
factories.RelationshipFactory(source=audit, destination=asmnt)
for role_name in ["Creators", "Assignees", "Verifiers"]:
asmnt.add_person_with_role_name(
self.role_people[role_name],
role_name,
)
factories.IssueTrackerIssueFactory(
enabled=enabled,
issue_tracked_obj=asmnt,
issue_id=issue_id,
title=None,
)
assessment_ids.append(asmnt.id)
return audit.id, assessment_ids
@staticmethod
def setup_issues(issue_count, issue_id=None, enabled=True):
"""Create issues with enabled integration."""
with factories.single_commit():
issue_ids = []
for _ in range(issue_count):
issue = factories.IssueFactory()
factories.IssueTrackerIssueFactory(
enabled=enabled,
issue_tracked_obj=issue,
issue_id=issue_id,
title=None,
)
issue_ids.append(issue.id)
return issue_ids
def issuetracker_sync_mock(self, sync_func_name):
"""IssueTracker sync method mock."""
return mock.patch.object(
sync_utils,
sync_func_name,
return_value={"issueId": self.issue_id}
)
def generate_children_issues_for(self, parent_type, parent_id, child_type):
"""Generate IssueTracker issue for objects with provided type and ids.
Args:
obj_type: Type of objects. Now only 'Assessment' supported.
obj_ids: List with ids of objects.
Returns:
Response with result of issues generation.
"""
with self.issuetracker_sync_mock("create_issue"):
return self.api.send_request(
self.api.client.post,
api_link="/generate_children_issues",
data={
"parent": {"type": parent_type, "id": parent_id},
"child_type": child_type,
}
)
def generate_issues_for(self, object_info):
"""Generate IssueTracker issues for provided objects."""
with self.issuetracker_sync_mock("create_issue"):
return self.api.send_request(
self.api.client.post,
api_link="/generate_issues",
data={
"objects": [{
"type": type_,
"id": id_,
"hotlist_ids": hotlist_id,
"component_id": component_id,
} for type_, id_, hotlist_id, component_id in object_info],
}
)
def update_issues_for(self, object_info):
"""Update IssueTracker issues for provided objects."""
with self.issuetracker_sync_mock("update_issue"):
return self.api.send_request(
self.api.client.post,
api_link="/update_issues",
data={
"objects": [{
"type": type_,
"id": id_,
"hotlist_ids": hotlist_id,
"component_id": component_id,
} for type_, id_, hotlist_id, component_id in object_info],
}
)
def assert_obj_issues(self, issuetracker_info, assignee=None):
"""Check correctness of created IssueTracker issues."""
for type_, id_, hotlist_id, component_id in issuetracker_info:
obj = inflector.get_model(type_).query.get(id_)
issue = obj.issuetracker_issue
self.assertEqual(issue.enabled, 1)
self.assertEqual(issue.title, obj.title)
self.assertEqual(issue.component_id, component_id)
self.assertEqual(issue.hotlist_id, hotlist_id)
self.assertEqual(
issue.issue_type,
constants.DEFAULT_ISSUETRACKER_VALUES['issue_type']
)
self.assertEqual(issue.issue_priority, "P2")
self.assertEqual(issue.issue_severity, "S2")
self.assertEqual(issue.assignee, assignee)
self.assertEqual(issue.cc_list, "")
self.assertEqual(issue.issue_id, self.issue_id)
self.assertEqual(
issue.issue_url,
"http://issue/{}".format(self.issue_id)
)
def assert_children_asmnt_issues(self, asmnt_ids):
"""Check if Assessments IssueTracker issues inherit data from Audit."""
assessments = all_models.Assessment.query.filter(
all_models.Assessment.id.in_(asmnt_ids)
)
for asmnt in assessments:
issue = asmnt.issuetracker_issue
parent_issue = asmnt.audit.issuetracker_issue
self.assertEqual(issue.enabled, 1)
self.assertEqual(issue.title, asmnt.title)
self.assertEqual(issue.component_id, parent_issue.component_id)
self.assertEqual(issue.hotlist_id, parent_issue.hotlist_id)
self.assertEqual(issue.issue_type, parent_issue.issue_type)
self.assertEqual(issue.issue_priority, parent_issue.issue_priority)
self.assertEqual(issue.issue_severity, parent_issue.issue_severity)
self.assertEqual(issue.assignee, "[email protected]")
self.assertEqual(issue.cc_list, "")
self.assertEqual(issue.issue_id, self.issue_id)
self.assertEqual(
issue.issue_url,
"http://issue/{}".format(self.issue_id)
)
def assert_not_updated(self, object_type, object_ids):
"""Check if IssueTracker issues have empty fields.
Args:
object_type: Type of objects which issues should be checked.
object_ids: List with ids for objects which issues should be checked.
Raise:
AssertionError if relevant Issues have non-empty base fields.
"""
issues = all_models.IssuetrackerIssue.query.filter(
all_models.IssuetrackerIssue.object_type == object_type,
all_models.IssuetrackerIssue.object_id.in_(object_ids),
)
for issue in issues:
self.assertEqual(issue.issue_id, None)
self.assertEqual(issue.assignee, None)
self.assertEqual(issue.cc_list, "")
self.assertEqual(issue.title, None)
@ddt.ddt
class TestBulkIssuesGenerate(TestBulkIssuesSync):
"""Test bulk issues generation."""
@ddt.data("Assessment", "Issue")
def test_integration_disabled_on_bulk_create_error(self, model):
"""Test if {} integration was disabled if bulk creation failed"""
user = all_models.Person.query.first()
with factories.single_commit():
obj = factories.get_model_factory(model)(
modified_by=user
)
iti = factories.IssueTrackerIssueFactory(
issue_tracked_obj=obj,
enabled=True,
issue_id=None,
)
bulk_creator = issuetracker_bulk_sync.IssueTrackerBulkCreator()
objects = [issuetracker_bulk_sync.IssuetrackedObjInfo(obj)]
with mock.patch.object(bulk_creator, "sync_issue") as sync_mock:
sync_mock.side_effect = integrations_errors.HttpError("error")
bulk_creator.handle_issuetracker_sync(objects)
sync_mock.assert_called_once()
self.assertFalse(iti.enabled)
def test_get_objects_method_assmt(self):
"""Test get_issuetracked_objects() for not linked assessments."""
_, assessment_ids_enabled = self.setup_assessments(3)
_, assessment_ids_disabled = self.setup_assessments(2, enabled=False)
assessment_ids = assessment_ids_enabled + assessment_ids_disabled
creator = issuetracker_bulk_sync.IssueTrackerBulkCreator
result = creator.get_issuetracked_objects("Assessment", assessment_ids)
result_ids = [assmt.id for assmt in result]
self.assertEqual(set(assessment_ids_enabled), set(result_ids))
def test_get_objects_method_issue(self):
"""Test get_issuetracked_objects() for not linked issues."""
issue_ids_enabled = self.setup_issues(3)
issue_ids_disabled = self.setup_issues(2, enabled=False)
issue_ids = issue_ids_enabled + issue_ids_disabled
creator = issuetracker_bulk_sync.IssueTrackerBulkCreator
result = creator.get_issuetracked_objects("Issue", issue_ids)
result_ids = [issue.id for issue in result]
self.assertEqual(set(issue_ids_enabled), set(result_ids))
def test_issue_generate_call(self):
"""Test generate_issue call creates task for bulk generate."""
user = all_models.Person.query.filter_by(email="[email protected]").one()
setattr(g, '_current_user', user)
data = {
"revision_ids": [1, 2, 3],
}
result = views.background_update_issues(data)
self.assert200(result)
bg_task = all_models.BackgroundTask.query.one()
self.assertEqual(bg_task.status, "Success")
def test_asmnt_bulk_generate(self):
"""Test bulk generation of issues for Assessments."""
_, assessment_ids = self.setup_assessments(3)
asmnt_issuetracker_info = [
("Assessment", id_, "123", "321") for id_ in assessment_ids
]
response = self.generate_issues_for(asmnt_issuetracker_info)
self.assert200(response)
self.assertEqual(response.json.get("errors"), [])
self.assert_obj_issues(asmnt_issuetracker_info, "[email protected]")
@unittest.skip("Not implemented.")
def test_permission_check(self):
"""Test generation if user has rights on part of objects."""
_, assessment_ids = self.setup_assessments(3)
with_rights_ids = assessment_ids[:2]
without_rights_ids = assessment_ids[2:]
_, assignee_user = self.gen.generate_person(user_role="Creator")
with factories.single_commit():
for id_ in with_rights_ids:
assessment = all_models.Assessment.query.get(id_)
assessment.add_person_with_role_name(assignee_user, "Creators")
self.api.set_user(assignee_user)
asmnt_issuetracker_info = [
("Assessment", id_, "123", "321") for id_ in assessment_ids
]
response = self.generate_issues_for(asmnt_issuetracker_info)
self.assert200(response)
forbidden_err = "403 Forbidden: You don't have the permission to access " \
"the requested resource. It is either read-protected or " \
"not readable by the server."
expected_errors = [
["Assessment", id_, forbidden_err] for id_ in without_rights_ids
]
self.assertEqual(response.json.get("errors"), expected_errors)
with_rights_info = [
("Assessment", id_, "123", "321") for id_ in with_rights_ids
]
self.assert_obj_issues(with_rights_info, "[email protected]")
self.assert_not_updated("Assessment", without_rights_ids)
def test_issue_bulk_generate(self):
"""Test bulk generation of issuetracker issues for Issue."""
issue_ids = []
with factories.single_commit():
person = factories.PersonFactory()
person_email = person.email
for _ in range(3):
issue = factories.IssueFactory(modified_by=person)
for role_name in ["Admin", "Primary Contacts"]:
issue.add_person_with_role_name(person, role_name)
factories.IssueTrackerIssueFactory(
enabled=True,
issue_tracked_obj=issue,
issue_id=None,
title='',
component_id=12345,
hotlist_id=54321,
issue_priority="P2",
issue_severity="S2",
)
issue_ids.append(issue.id)
issue_issuetracker_info = [
("Issue", id_, None, None) for id_ in issue_ids
]
response = self.generate_issues_for(issue_issuetracker_info)
self.assert200(response)
self.assertEqual(response.json.get("errors"), [])
issues = all_models.IssuetrackerIssue.query.filter(
all_models.IssuetrackerIssue.object_type == "Issue",
all_models.IssuetrackerIssue.object_id.in_(issue_ids)
).all()
for issue in issues:
parent_obj = issue.Issue_issue_tracked
self.assertEqual(issue.enabled, 1)
self.assertEqual(issue.title, parent_obj.title)
self.assertEqual(issue.component_id, "12345")
self.assertEqual(issue.hotlist_id, "54321")
self.assertEqual(issue.issue_priority, "P2")
self.assertEqual(issue.issue_severity, "S2")
self.assertEqual(issue.assignee, person_email)
self.assertEqual(issue.cc_list, "")
self.assertEqual(issue.issue_id, self.issue_id)
self.assertEqual(
issue.issue_url,
"http://issue/{}".format(self.issue_id)
)
def test_rate_limited_generate(self):
"""Test tickets generation when issuetracker raise 429 error."""
_, assessment_ids = self.setup_assessments(3)
error = integrations_errors.HttpError(data="Test Error", status=429)
with mock.patch(
"ggrc.integrations.issues.Client.create_issue",
side_effect=error
) as create_issue_mock:
with mock.patch("time.sleep"):
response = self.api.send_request(
self.api.client.post,
api_link="/generate_issues",
data={
"objects": [{
"type": "Assessment",
"id": id_
} for id_ in assessment_ids],
}
)
self.assert200(response)
expected_errors = [
["Assessment", id_, "429 Test Error"]
for id_ in assessment_ids
]
self.assertEqual(response.json.get("errors"), expected_errors)
# 3 times for each assessment
self.assertEqual(create_issue_mock.call_count, 9)
def test_exception_notification(self):
"""Test notification about failed bulk update."""
filename = "test.csv"
updater = issuetracker_bulk_sync.IssueTrackerBulkUpdater()
with mock.patch("ggrc.notifications.common.send_email") as send_mock:
updater.send_notification(filename, "[email protected]", failed=True)
self.assertEqual(send_mock.call_count, 1)
(email, title, body), _ = send_mock.call_args_list[0]
self.assertEqual(title, updater.ISSUETRACKER_SYNC_TITLE)
self.assertEqual(email, "[email protected]")
self.assertIn(updater.ERROR_TITLE.format(filename=filename), body)
self.assertIn(updater.EXCEPTION_TEXT, body)
def test_succeeded_notification(self):
"""Test notification about succeeded bulk generation."""
creator = issuetracker_bulk_sync.IssueTrackerBulkCreator()
filename = "test_file.csv"
recipient = "[email protected]"
with mock.patch("ggrc.notifications.common.send_email") as send_mock:
creator.send_notification(filename, recipient)
self.assertEqual(send_mock.call_count, 1)
(email, title, body), _ = send_mock.call_args_list[0]
self.assertEqual(title, creator.ISSUETRACKER_SYNC_TITLE)
self.assertEqual(email, recipient)
self.assertIn(creator.SUCCESS_TITLE.format(filename=filename), body)
self.assertIn(creator.SUCCESS_TEXT, body)
def test_error_notification(self):
"""Test notification about bulk generation with errors"""
creator = issuetracker_bulk_sync.IssueTrackerBulkCreator()
filename = "test_file.csv"
recipient = "[email protected]"
assmt = factories.AssessmentFactory()
with mock.patch("ggrc.notifications.common.send_email") as send_mock:
creator.send_notification(filename, recipient, errors=[(assmt, "")])
self.assertEqual(send_mock.call_count, 1)
(email, title, body), _ = send_mock.call_args_list[0]
self.assertEqual(title, creator.ISSUETRACKER_SYNC_TITLE)
self.assertEqual(email, recipient)
self.assertIn(creator.ERROR_TITLE.format(filename=filename), body)
self.assertIn(assmt.slug, body)
self.assertIn(assmt.title, body)
self.assertIn(data_handlers.get_object_url(assmt), body)
@ddt.ddt
class TestBulkIssuesChildGenerate(TestBulkIssuesSync):
"""Test bulk issues generation for child objects."""
def test_get_objects_method_assmt(self):
"""Test get_issuetracked_objects() for linked assessments."""
_, assessment_ids_enabled = self.setup_assessments(3, issue_id=123)
_, assessment_ids_disabled = self.setup_assessments(2,
issue_id=123,
enabled=False)
assessment_ids = assessment_ids_enabled + assessment_ids_disabled
updater = issuetracker_bulk_sync.IssueTrackerBulkUpdater
result = updater.get_issuetracked_objects("Assessment", assessment_ids)
result_ids = [assmt.id for assmt in result]
self.assertEqual(set(assessment_ids_enabled), set(result_ids))
def test_get_objects_method_issue(self):
"""Test get_issuetracked_objects() for linked issues."""
issue_ids_enabled = self.setup_issues(3, issue_id=123)
issue_ids_disabled = self.setup_issues(2, issue_id=123, enabled=False)
issue_ids = issue_ids_enabled + issue_ids_disabled
updater = issuetracker_bulk_sync.IssueTrackerBulkUpdater
result = updater.get_issuetracked_objects("Issue", issue_ids)
result_ids = [issue.id for issue in result]
self.assertEqual(set(issue_ids_enabled), set(result_ids))
def test_asmnt_bulk_child_generate(self):
"""Test generation of issues for all Assessments in Audit."""
audit_id, assessment_ids = self.setup_assessments(3)
with mock.patch("ggrc.notifications.common.send_email"):
response = self.generate_children_issues_for(
"Audit", audit_id, "Assessment"
)
self.assert200(response)
self.assertEqual(response.json.get("errors"), [])
self.assert_children_asmnt_issues(assessment_ids)
def test_norights(self):
"""Test generation if user doesn't have rights on Audit and Assessment."""
audit_id, assessment_ids = self.setup_assessments(3)
_, side_user = self.gen.generate_person(user_role="Creator")
self.api.set_user(side_user)
response = self.generate_children_issues_for(
"Audit", audit_id, "Assessment"
)
self.assert200(response)
self.assert_not_updated("Assessment", assessment_ids)
def test_partially_rights(self):
"""Test generation if user has rights on part of Assessments."""
audit_id, assessment_ids = self.setup_assessments(3)
changed_asmnt_id = assessment_ids[0]
norights_asmnt_ids = assessment_ids[1:]
_, assignee_user = self.gen.generate_person(user_role="Creator")
audit_role = factories.AccessControlRoleFactory(
name="Edit Role",
object_type="Audit",
update=True
)
with factories.single_commit():
assessment = all_models.Assessment.query.get(changed_asmnt_id)
assessment.add_person_with_role_name(assignee_user, "Creators")
acl = factories.AccessControlListFactory(
object_id=audit_id,
object_type="Audit",
ac_role_id=audit_role.id,
)
factories.AccessControlPersonFactory(
person=assignee_user,
ac_list=acl,
)
self.api.set_user(assignee_user)
response = self.generate_children_issues_for(
"Audit", audit_id, "Assessment"
)
self.assert200(response)
self.assert_children_asmnt_issues([changed_asmnt_id])
self.assert_not_updated("Assessment", norights_asmnt_ids)
@ddt.data(
issuetracker_bulk_sync.WRONG_COMPONENT_ERR,
issuetracker_bulk_sync.WRONG_HOTLIST_ERR,
)
def test_invalid_component_id(self, error):
"""Test generation of issues if '{}' error raised."""
audit_id, assessment_ids = self.setup_assessments(3)
error = error.format("12345")
with mock.patch("ggrc.notifications.common.send_email"):
with mock.patch(
"ggrc.integrations.issues.Client.create_issue",
side_effect=integrations_errors.HttpError(error)
) as create_issue_mock:
response = self.api.send_request(
self.api.client.post,
api_link="/generate_children_issues",
data={
"parent": {"type": "Audit", "id": audit_id},
"child_type": "Assessment"
}
)
self.assert200(response)
self.assertEqual(
response.json.get("errors"),
[["Assessment", assessment_ids[0], "500 {}".format(error)]]
)
self.assertEqual(create_issue_mock.call_count, 1)
query = all_models.IssuetrackerIssue.query.filter(
all_models.IssuetrackerIssue.issue_id.isnot(None)
)
self.assertEqual(query.count(), 0)
def test_related_assessments(self):
"""Assessment with empty issuetracker_issue should be synced"""
with factories.single_commit():
audit = factories.AuditFactory()
factories.IssueTrackerIssueFactory(
issue_tracked_obj=audit,
issue_id=None,
component_id=12345,
hotlist_id=54321,
issue_priority="P2",
issue_severity="S2",
)
assess1 = factories.AssessmentFactory(audit=audit)
assess1_id = assess1.id
assess2 = factories.AssessmentFactory(audit=audit)
assess2_id = assess2.id
factories.IssueTrackerIssueFactory(
issue_tracked_obj=assess2,
issue_id=None,
component_id=9999,
hotlist_id=7777,
issue_priority="P1",
issue_severity="S1",
)
self.assertIsNone(assess1.issuetracker_issue)
with mock.patch("ggrc.notifications.common.send_email"):
response = self.generate_children_issues_for(
audit.type, audit.id, assess1.type
)
self.assert200(response)
self.assertEqual(response.json.get("errors"), [])
assess1 = all_models.Assessment.query.get(assess1_id)
self.assertIsNotNone(
assess1.issuetracker_issue,
"issuetracker_issue was not created for assessment {}".format(
assess1.id
)
)
self.assertEqual("12345", assess1.issuetracker_issue.component_id)
self.assertEqual("54321", assess1.issuetracker_issue.hotlist_id)
self.assertEqual("P2", assess1.issuetracker_issue.issue_priority)
self.assertEqual("S2", assess1.issuetracker_issue.issue_severity)
assess2 = all_models.Assessment.query.get(assess2_id)
self.assertEqual("9999", assess2.issuetracker_issue.component_id)
self.assertEqual("7777", assess2.issuetracker_issue.hotlist_id)
self.assertEqual("P1", assess2.issuetracker_issue.issue_priority)
self.assertEqual("S1", assess2.issuetracker_issue.issue_severity)
def test_bg_operation_status(self):
"""Test background operation status endpoint."""
audit_id, _ = self.setup_assessments(3)
response = self.generate_children_issues_for(
"Audit", audit_id, "Assessment"
)
self.assert200(response)
url = "background_task_status/{}/{}".format("audit", audit_id)
response = self.api.client.get(url)
self.assert200(response)
self.assertEqual(response.json.get("status"), "Success")
self.assertEqual(
response.json.get("operation"),
"generate_children_issues"
)
self.assertEqual(response.json.get("errors"), [])
def test_task_already_run_status(self):
"""Test if new task started when another is in progress."""
audit_id, _ = self.setup_assessments(1)
response = self.generate_children_issues_for(
"Audit", audit_id, "Assessment"
)
self.assert200(response)
db.session.query(all_models.BackgroundTask).update({"status": "Running"})
db.session.commit()
with factories.single_commit():
asmnt = factories.AssessmentFactory(audit_id=audit_id)
audit = all_models.Audit.query.get(audit_id)
factories.RelationshipFactory(source=audit, destination=asmnt)
factories.IssueTrackerIssueFactory(
issue_tracked_obj=asmnt,
issue_id=None,
title=None,
)
response = self.generate_children_issues_for(
"Audit", audit_id, "Assessment"
)
self.assert400(response)
self.assertEqual(
response.json["message"],
"Task 'generate_children_issues' already run for Audit {}.".format(
audit_id
)
)
url = "background_task_status/{}/{}".format("audit", audit_id)
response = self.api.client.get(url)
self.assert200(response)
self.assertEqual(response.json.get("status"), "Running")
self.assertEqual(
response.json.get("operation"),
"generate_children_issues"
)
self.assertEqual(response.json.get("errors"), [])
def test_task_failed_status(self):
"""Test background task status if it failed."""
audit_id, _ = self.setup_assessments(2)
with mock.patch(
"ggrc.integrations.issuetracker_bulk_sync."
"IssueTrackerBulkChildCreator.sync_issuetracker",
side_effect=Exception("Test Error")
):
response = self.generate_children_issues_for(
"Audit", audit_id, "Assessment"
)
self.assert200(response)
url = "background_task_status/{}/{}".format("audit", audit_id)
response = self.api.client.get(url)
self.assert200(response)
self.assertEqual(response.json.get("status"), "Failure")
self.assertEqual(
response.json.get("operation"),
"generate_children_issues"
)
self.assertEqual(response.json.get("errors"), [])
def test_errors_task_status(self):
"""Test background task status if it failed."""
audit_id, assessment_ids = self.setup_assessments(2)
with mock.patch(
"ggrc.integrations.issues.Client.create_issue",
side_effect=integrations_errors.HttpError("Test Error")
):
response = self.api.send_request(
self.api.client.post,
api_link="/generate_children_issues",
data={
"parent": {"type": "Audit", "id": audit_id},
"child_type": "Assessment"
}
)
self.assert200(response)
url = "background_task_status/{}/{}".format("audit", audit_id)
response = self.api.client.get(url)
self.assert200(response)
self.assertEqual(response.json.get("status"), "Success")
self.assertEqual(
response.json.get("errors"),
[["Assessment", id_, "500 Test Error"] for id_ in assessment_ids]
)
def test_child_err_notification(self):
"""Test notification about failed bulk child generation."""
audit_id, _ = self.setup_assessments(3)
_, side_user = self.gen.generate_person(user_role="Creator")
self.api.set_user(side_user)
with mock.patch("ggrc.notifications.common.send_email") as send_mock:
response = self.generate_children_issues_for(
"Audit", audit_id, "Assessment"
)
self.assert200(response)
self.assertEqual(send_mock.call_count, 1)
(email, title, body), _ = send_mock.call_args_list[0]
cur_user = all_models.Person.query.get(side_user.id)
child_creator = issuetracker_bulk_sync.IssueTrackerBulkChildCreator
self.assertEqual(email, cur_user.email)
self.assertEqual(title, child_creator.ISSUETRACKER_SYNC_TITLE)
self.assertIn("There were some errors in generating tickets", body)
def test_child_notification(self):
"""Test notification about succeeded bulk child generation."""
audit_id, _ = self.setup_assessments(3)
with mock.patch("ggrc.notifications.common.send_email") as send_mock:
response = self.generate_children_issues_for(
"Audit", audit_id, "Assessment"
)
self.assert200(response)
self.assertEqual(send_mock.call_count, 1)
(email, title, body), _ = send_mock.call_args_list[0]
child_creator = issuetracker_bulk_sync.IssueTrackerBulkChildCreator
self.assertEqual(email, "[email protected]")
self.assertEqual(title, child_creator.ISSUETRACKER_SYNC_TITLE)
title = all_models.Audit.query.get(audit_id).title
self.assertIn(
"Tickets generation for audit \"{}\" was completed".format(title),
body
)
def test_proper_revisions_creation(self):
"""Test all revisions are created for new IssuetrackerIssues"""
with factories.single_commit():
asmnt = factories.AssessmentFactory()
factories.IssueTrackerIssueFactory(issue_tracked_obj=asmnt.audit)
response = self.generate_children_issues_for(
"Audit", asmnt.audit.id, "Assessment"
)
self.assert200(response)
revisions = db.session.query(
all_models.Revision.action,
all_models.IssuetrackerIssue.object_type,
all_models.IssuetrackerIssue.object_id
).join(
all_models.IssuetrackerIssue,
all_models.Revision.resource_id == all_models.IssuetrackerIssue.id
).filter(
all_models.Revision.resource_type == 'IssuetrackerIssue',
all_models.IssuetrackerIssue.object_id.in_(
(asmnt.id, asmnt.audit.id)
)
).all()
expected_revisions = {
(u'created', u'Assessment', asmnt.id),
(u'modified', u'Assessment', asmnt.id),
(u'created', u'Audit', asmnt.audit.id)
}
self.assertEquals(set(revisions), expected_revisions)
@ddt.ddt
class TestBulkIssuesUpdate(TestBulkIssuesSync):
"""Test bulk issues update."""
def test_asmnt_bulk_update(self):
"""Test bulk update of issues for Assessments."""
_, assessment_ids = self.setup_assessments(3)
issues = all_models.IssuetrackerIssue.query.filter(
all_models.IssuetrackerIssue.object_type == "Assessment",
all_models.IssuetrackerIssue.object_id.in_(assessment_ids)
)
for issue in issues:
issue.enabled = 1
issue.title = ""
issue.component_id = "1"
issue.hotlist_id = "1"
issue.issue_type = constants.DEFAULT_ISSUETRACKER_VALUES['issue_type']
issue.issue_priority = "P2"
issue.issue_severity = "S2"
issue.assignee = "[email protected]"
issue.cc_list = ""
issue.issue_id = 123
issue.issue_url = "http://issue/{}".format(self.issue_id)
db.session.commit()
asmnt_issuetracker_info = [
("Assessment", id_, "123", "321") for id_ in assessment_ids
]
response = self.update_issues_for(asmnt_issuetracker_info)
self.assert200(response)
self.assertEqual(response.json.get("errors"), [])
self.assert_obj_issues(asmnt_issuetracker_info)
def test_issue_bulk_generate(self):
"""Test bulk update of issues for Issues."""
issue_ids = []
with factories.single_commit():
for _ in range(3):
issue = factories.IssueFactory()
factories.IssueTrackerIssueFactory(
enabled=True,
issue_tracked_obj=issue,
issue_id=self.issue_id,
title="",
component_id=12345,
hotlist_id=54321,
issue_priority="P2",
issue_severity="S2",
)
issue_ids.append(issue.id)
with factories.single_commit():
person = factories.PersonFactory()
for issue in all_models.Issue.query.all():
issue.modified_by = person
for role_name in ["Admin", "Primary Contacts"]:
issue.add_person_with_role_name(person, role_name)
# Verify that IssueTracker issues hasn't updated data
issues = all_models.IssuetrackerIssue.query.filter(
all_models.IssuetrackerIssue.object_type == "Issue",
all_models.IssuetrackerIssue.object_id.in_(issue_ids)
).all()
for issue in issues:
parent_obj = issue.Issue_issue_tracked
self.assertNotEqual(issue.title, parent_obj.title)
self.assertEqual(issue.assignee, None)
issue_issuetracker_info = [
("Issue", id_, None, None) for id_ in issue_ids
]
response = self.update_issues_for(issue_issuetracker_info)
self.assert200(response)
self.assertEqual(response.json.get("errors"), [])
# IssueTracker issues should be updated with proper values
issues = all_models.IssuetrackerIssue.query.filter(
all_models.IssuetrackerIssue.object_type == "Issue",
all_models.IssuetrackerIssue.object_id.in_(issue_ids)
).all()
for issue in issues:
parent_obj = issue.Issue_issue_tracked
self.assertEqual(issue.title, parent_obj.title)
self.assertEqual(issue.cc_list, "")
def test_rate_limited_update(self):
"""Test tickets update when issuetracker raise 429 error."""
_, assessment_ids = self.setup_assessments(3)
for issue in all_models.IssuetrackerIssue.query.all():
issue.issue_id = self.issue_id
db.session.commit()
error = integrations_errors.HttpError(data="Test Error", status=429)
with mock.patch(
"ggrc.integrations.issues.Client.update_issue",
side_effect=error
) as update_issue_mock:
with mock.patch("time.sleep"):
response = self.api.send_request(
self.api.client.post,
api_link="/update_issues",
data={
"objects": [{
"type": "Assessment",
"id": id_
} for id_ in assessment_ids],
}
)
self.assert200(response)
expected_errors = [
["Assessment", id_, "429 Test Error"]
for id_ in assessment_ids
]
self.assertEqual(response.json.get("errors"), expected_errors)
# 3 times for each assessment
self.assertEqual(update_issue_mock.call_count, 9)
@ddt.data("Issue", "Assessment")
def test_get_issue_json(self, model):
"""Test get_issue_json method issue's update"""
with factories.single_commit():
factory = factories.get_model_factory(model)
obj = factory()
factories.IssueTrackerIssueFactory(
enabled=True,
issue_tracked_obj=obj,
title='title',
component_id=111,
hotlist_id=222,
issue_type="PROCESS",
issue_priority="P2",
issue_severity="S2",
)
expected_result = {
'component_id': 111,
'severity': u'S2',
'title': u'title',
'hotlist_ids': [222],
'priority': u'P2',
'type': u'PROCESS'
}
updater = issuetracker_bulk_sync.IssueTrackerBulkUpdater()
# pylint: disable=protected-access
result = updater._get_issue_json(obj)
self.assertEqual(expected_result, result)
@ddt.ddt
class TestBulkCommentUpdate(TestBulkIssuesSync):
"""Test adding comments to IssueTracker issues via bulk."""
@ddt.data(
("Issue", ["c1", "c2", "c3"]),
("Assessment", ["c1", "c2", "c3"]),
)
@ddt.unpack
@mock.patch("ggrc.integrations.issues.Client.update_issue")
def test_comment_bulk_update(self, model, comments, update_mock):
"""Test bulk comment's update requests are sent correctly"""
with factories.single_commit():
factory = factories.get_model_factory(model)
obj = factory()
factories.IssueTrackerIssueFactory(
enabled=True,
issue_tracked_obj=obj,
issue_id=123,
)
request_data = {
"comments": [
{"type": obj.type, "id": obj.id, "comment_description": comment}
for comment in comments
],
"mail_data": {"user_email": "[email protected]"},
}
updater = issuetracker_bulk_sync.IssueTrackerCommentUpdater()
result = updater.sync_issuetracker(request_data)
builder = issue_tracker_params_builder.IssueParamsBuilder
template = builder.COMMENT_TMPL
url_builder = builder.get_ggrc_object_url
self.assert200(result)
# pylint: disable=consider-using-enumerate
for i in range(len(comments)):
self.assertEqual(update_mock.call_args_list[i][0][0], 123)
self.assertEqual(
update_mock.call_args_list[i][0][1]["comment"],
template.format(author="[email protected]",
model=model,
comment=comments[i],
link=url_builder(obj))
)
@ddt.data("Issue", "Assessment")
@mock.patch.object(settings, "ISSUE_TRACKER_ENABLED", True)
def test_comment_update_call(self,
model):
"""Test bulk update calls appropriate methods"""
with factories.single_commit():
factory = factories.get_model_factory(model)
obj = factory()
factories.IssueTrackerIssueFactory(
enabled=True,
issue_tracked_obj=obj,
issue_id=123,
)
comments = "c1;;c2;;c3"
with mock.patch.object(issuetracker_bulk_sync.IssueTrackerCommentUpdater,
"sync_issuetracker",
return_value=([], [])) as comment_mock:
with mock.patch.object(issuetracker_bulk_sync.IssueTrackerBulkCreator,
"sync_issuetracker",
return_value=([], [])) as create_mock:
with mock.patch.object(issuetracker_bulk_sync.IssueTrackerBulkCreator,
"sync_issuetracker",
return_value=([], [])) as upd_mock:
response = self.import_data(OrderedDict([
("object_type", model),
("Code*", obj.slug),
("Comments", comments),
]))
expected_comments = [
{'comment_description': comment, 'type': model, 'id': obj.id}
for comment in comments.split(";;")
]
self._check_csv_response(response, {})
self.assertEqual(comment_mock.call_args[0][0]["comments"],
expected_comments)
upd_mock.assert_called_once()
create_mock.assert_not_called()
|
py | 1a4a8d9d0bbaa544f6e15c7ecb571b69fdaeb027 | import time
from collections import OrderedDict
import json
import os
import re
import praw
from dotenv import load_dotenv, find_dotenv
import requests
load_dotenv(find_dotenv())
client_id=os.environ['REDDIT_CLIENT_ID']
client_secret=os.environ['REDDIT_CLIENT_SECRET']
password=os.environ['REDDIT_PASSWORD']
username=os.environ['REDDIT_USERNAME']
subreddit=os.environ['SUBREDDIT']
user_agent='user-agent for /u/PhDComicsBot'
if __name__ == "__main__":
reddit = praw.Reddit(client_id=client_id,
client_secret=client_secret,
password=password,
username=username,
user_agent=user_agent)
while True:
print("Collecting all comics")
r = requests.get("http://phdcomics.com/comics/archive_list.php")
# Save for debugging if something goes wrong
with open('index.html', 'w') as outfile:
outfile.write(r.text)
comic_dict = OrderedDict()
# We have no idea!
regex = r'href\=.*?comicid=(\d+)>\s*<b>(.*?)</b>.*?<font.*?>(.*?)</font>'
BASE_URL = 'http://www.phdcomics.com/comics/archive.php?comicid='
# Some have newlines so use re.S to enable dot to match multilines
items = re.findall(regex, r.text, re.S)
for comic_id, date, title in items:
comic_url = BASE_URL + comic_id
comic_dict[comic_id] = {'id': comic_id, 'link': comic_url, 'date': date, 'title': title}
print("Saving it to data.json")
with open('data.json', 'w') as outfile:
json.dump(comic_dict, outfile)
last_comic_id = 0
try:
with open('last_comic.txt', 'r') as infile:
last_comic_id = int(infile.read())
except ValueError:
print("File is empty. Something wrong happened. Better exit the program")
exit(1)
except FileNotFoundError:
print("File not found so this must be the first run")
for comic_id in comic_dict:
if int(comic_id) <= last_comic_id:
continue
date = comic_dict[comic_id]['date']
title = comic_dict[comic_id]['title']
title = "{0} ({1})".format(title, date)
comic_url = BASE_URL + comic_id
print("Submitting {0} with title '{1}'".format(comic_url, title))
reddit.subreddit(subreddit).submit(title, url=comic_url)
print("Saving the latest comic id : {}".format(comic_id))
with open('last_comic.txt', 'w') as outfile:
outfile.write(comic_id)
break
time.sleep(24 * 60 * 60) # Sleep for a day
|
py | 1a4a8de513d9d732c042ecc8d481d985dd6bd83e | from flask import Flask, request
import requests
import geopy
import re
# import geopy.distance
from geopy.geocoders import Nominatim
import json
from datetime import datetime
import constants
from twilio.twiml.messaging_response import MessagingResponse
# Create Flask app instance
app = Flask(__name__)
# Create geolocator object as an instance of geopy's Nominatim class
geolocator = Nominatim(user_agent="covid-bot", timeout=5)
# Base API URL
base_url = 'https://cdn-api.co-vin.in/api'
# The root endpoint
@app.route("/")
def hello():
return "Hello, World!"
# The /bot webhook endpoint
@app.route('/bot', methods=['POST'])
def bot():
# Get the incoming message request data
incoming_values = request.values
print("Incoming Values:\n", incoming_values)
# Get Geolocation sent by user
latitude = incoming_values.get('Latitude', '')
longitude = incoming_values.get('Longitude', '')
# Geopy geolocator API expects coordinates as a single comma separated string of latitude and longitude
geo_coordinates_string = ", ".join((latitude, longitude))
# Get the incoming message from incoming_values
incoming_msg = incoming_values.get('Body', '').lower()
if incoming_msg in constants.greeting_tokens:
# Return greeting message
return as_twilio_response(constants.welcome_message)
if 'help' in incoming_msg:
# Return help message
return as_twilio_response(constants.help_message)
if latitude:
geo_location_dict = get_reverse_geocode(geo_coordinates_string)
date_now = datetime.today().strftime('%d-%m-%Y')
# Get the location wise response
location_response = get_location_response(geo_location_dict, date_now)
return as_twilio_response(location_response)
m = re.match(r"^\d+$", incoming_msg)
if m:
date_now = datetime.today().strftime('%d-%m-%Y')
return as_twilio_response(get_location_response_by_pincode(m.string, date_now))
return as_twilio_response('Could not understand your message. Please type "help".')
# Helper functions
def as_twilio_response(message: str) -> str:
resp = MessagingResponse()
msg = resp.message()
msg.body(message)
return str(resp)
def get_response(url):
response = requests.get(url, headers={'User-Agent': 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:88.0) Gecko/20100101 Firefox/88.0'})
return response.json()
# Get the address dict
def get_reverse_geocode(coordinates):
location = geolocator.reverse(coordinates, exactly_one=True)
address_dict = location.raw['address']
print("Address Dict:", address_dict)
return address_dict
def get_location_response_by_pincode(pincode, date_now):
appointment_api_by_pin = base_url + '/v2/appointment/sessions/public/findByPin?pincode={pincode}&date={date_now}'.format(pincode=pincode, date_now=date_now)
appointment_data = get_response(appointment_api_by_pin)
appointment_response = f'''
'''
sessions = appointment_data.get("sessions", [])
if sessions:
for idx, each in enumerate(sessions):
serial_number = idx + 1
name = each.get("name", "")
address = each.get("address", "")
district = each.get("district_name", "")
from_time = each.get("from", "")
to_time = each.get("to", "")
fee_type = each.get("fee_type", "")
fee = each.get("fee", 0)
available_capacity = each.get("available_capacity", 0)
min_age_limit = each.get("min_age_limit", 18)
vaccine = each.get("vaccine", "")
each_response = f'''
{serial_number}. {name}
{address}, {district}
Vaccine: {vaccine}, {fee_type}
Available: {available_capacity}
'''
appointment_response += each_response
else:
appointment_response = "0"
location_message = f'''
Your location pincode is {pincode}.
Available vaccine slots today: {appointment_response}
Visit www.cowin.gov.in to book your vaccination
'''
return location_message
def get_location_response(geo_location_dict, date_now):
pincode = geo_location_dict.get('postcode', '')
return get_location_response_by_pincode(pincode, date_now)
if __name__ == '__main__':
app.run()
|
py | 1a4a8e3ed5c366bbcf79dec7e09d5c9245ebfb14 | from ReinLife.Helpers.trainer import trainer
from ReinLife.Helpers.tester import tester
|
py | 1a4a8f43352e4657ad470239c9d4a273c0e99de8 | import unittest
from fds.analyticsapi.engines.api.linked_pa_templates_api import LinkedPATemplatesApi
from fds.analyticsapi.engines.model.linked_pa_template_parameters_root import LinkedPATemplateParametersRoot
from fds.analyticsapi.engines.model.linked_pa_template_parameters import LinkedPATemplateParameters
from fds.analyticsapi.engines.model.template_content_types import TemplateContentTypes
from fds.analyticsapi.engines.model.linked_pa_template_summary import LinkedPATemplateSummary
from fds.analyticsapi.engines.model.linked_pa_template_update_parameters import LinkedPATemplateUpdateParameters
from fds.analyticsapi.engines.model.linked_pa_template_update_parameters_root import LinkedPATemplateUpdateParametersRoot
from fds.analyticsapi.engines.model.linked_pa_template_root import LinkedPATemplateRoot
from fds.analyticsapi.engines.model.linked_pa_template import LinkedPATemplate
from common_functions import CommonFunctions
class TestLinkedPaTemplatesApi(unittest.TestCase):
def setUp(self):
self.linked_pa_templates_api = LinkedPATemplatesApi(CommonFunctions.build_api_client())
def test_a_create_linked_pa_template(self):
linked_pa_template_parameters = LinkedPATemplateParameters(
directory="Personal:SDKTests/DoNotModify/LinkedPATemplates/",
parent_component_id="801B800245E468A52AEBEC4BE31CFF5AF82F371DAEF5F158AC2E98C2FA324B46",
description="This is a linked PA template that only returns security level data",
content = TemplateContentTypes(
mandatory = ["accounts", "benchmarks"],
optional = ["groups", "columns"],
locked = ["componentdetail"]
)
)
linked_pa_template_parameters_root = LinkedPATemplateParametersRoot(
data = linked_pa_template_parameters
)
response = self.linked_pa_templates_api.create_linked_pa_templates(
linked_pa_template_parameters_root = linked_pa_template_parameters_root)
firsttemplate = list(response[0].data.keys())[0]
self.assertEqual(response[1], 201, "Response should be 201 - Success")
self.assertEqual(type(response[0].data), dict, "Response should be of Dictionary type.")
self.assertEqual(type(response[0].data[firsttemplate]),
LinkedPATemplateSummary, "Response should be of LinkedPATemplateSummary type.")
self.assertGreater(len(response[0].data), 0, "Response result should not be an empty list.")
def test_b_get_all_linked_pa_templates(self):
response = self.linked_pa_templates_api.get_linked_pa_templates(
directory = "Personal:SDKTests/DoNotModify/LinkedPATemplates/"
)
firsttemplate = list(response[0].data.keys())[0]
self.assertEqual(response[1], 200, "Response should be 200 - Success")
self.assertEqual(type(response[0].data), dict, "Response should be of Dictionary type.")
self.assertEqual(type(response[0].data[firsttemplate]),
LinkedPATemplateSummary, "Response should be of LinkedPATemplateSummary type.")
self.assertGreater(len(response[0].data), 0, "Response result should not be an empty list.")
def test_c_update_linked_pa_template(self):
templates = self.linked_pa_templates_api.get_linked_pa_templates(
directory = "Personal:SDKTests/DoNotModify/LinkedPATemplates/"
)
template_id = list(templates[0].data.keys())[0]
linked_pa_template_update_parameters = LinkedPATemplateUpdateParameters(
parent_component_id="801B800245E468A52AEBEC4BE31CFF5AF82F371DAEF5F158AC2E98C2FA324B46",
description="This is an updated linked PA template that only returns security level data",
content = TemplateContentTypes(
mandatory = ["accounts", "benchmarks"],
optional = ["groups", "columns"],
locked = ["componentdetail"]
)
)
linked_pa_template_update_parameters_root = LinkedPATemplateUpdateParametersRoot(
data = linked_pa_template_update_parameters
)
response = self.linked_pa_templates_api.update_linked_pa_templates(
id = template_id, linked_pa_template_update_parameters_root=linked_pa_template_update_parameters_root
)
self.assertEqual(response[1], 200, "Response should be 200 - Success")
self.assertEqual(type(response[0].data), dict, "Response should be of Dictionary type.")
self.assertEqual(type(response[0].data[template_id]),
LinkedPATemplateSummary, "Response should be of LinkedPATemplateSummary type.")
self.assertGreater(len(response[0].data), 0, "Response result should not be an empty list.")
def test_d_get_linked_pa_template_by_id(self):
templates = self.linked_pa_templates_api.get_linked_pa_templates(
directory = "Personal:SDKTests/DoNotModify/LinkedPATemplates/"
)
template_id = list(templates[0].data.keys())[0]
response = self.linked_pa_templates_api.get_linked_pa_templates_by_id(
id = template_id
)
self.assertEqual(response[1], 200, "Response should be 200 - Success")
self.assertEqual(type(response[0]), LinkedPATemplateRoot, "Response should be of LinkedPATemplateRoot type.")
self.assertEqual(type(response[0].data),
LinkedPATemplate, "Response should be of LinkedPATemplate type.")
def test_e_delete_linked_pa_template(self):
templates = self.linked_pa_templates_api.get_linked_pa_templates(
directory = "Personal:SDKTests/DoNotModify/LinkedPATemplates/"
)
template_id = list(templates[0].data.keys())[0]
response = self.linked_pa_templates_api.delete_linked_pa_templates(
id = template_id
)
self.assertEqual(response[1], 204, "Response should be 204 - Success")
if __name__ == '__main__':
unittest.main()
|
py | 1a4a8f678193f4c412c3dec67a0990f0efc06c73 | from unittest import TestCase
from tests import get_data
from pytezos.michelson.converter import build_schema, decode_micheline, encode_micheline, micheline_to_michelson
class StorageTestKT1D8STdsizybSqDGCDn19s8R8Fn6KcDW9xg(TestCase):
@classmethod
def setUpClass(cls):
cls.maxDiff = None
cls.contract = get_data('storage/zeronet/KT1D8STdsizybSqDGCDn19s8R8Fn6KcDW9xg.json')
def test_storage_encoding_KT1D8STdsizybSqDGCDn19s8R8Fn6KcDW9xg(self):
type_expr = self.contract['script']['code'][1]
val_expr = self.contract['script']['storage']
schema = build_schema(type_expr)
decoded = decode_micheline(val_expr, type_expr, schema)
actual = encode_micheline(decoded, schema)
self.assertEqual(val_expr, actual)
def test_storage_schema_KT1D8STdsizybSqDGCDn19s8R8Fn6KcDW9xg(self):
_ = build_schema(self.contract['script']['code'][0])
def test_storage_format_KT1D8STdsizybSqDGCDn19s8R8Fn6KcDW9xg(self):
_ = micheline_to_michelson(self.contract['script']['code'])
_ = micheline_to_michelson(self.contract['script']['storage'])
|
py | 1a4a8fe5dd8344b81b4b040bdf0b978e541d1158 | import os
import torch
import torch.optim as optim
import torch.backends.cudnn as cudnn
import argparse
import torch.utils.data as data
from data import AnnotationTransform, BaseTransform, VOCDetection, detection_collate, coco_detection_collate, seq_detection_collate, mb_cfg, dataset_training_cfg, COCOroot, COCODetection
from utils.augmentations import SSDAugmentation
from layers.modules import MultiBoxLoss, RefineMultiBoxLoss
from layers.functions import PriorBox
import numpy as np
import time
import logging
def str2bool(v):
return v.lower() in ("yes", "true", "t", "1")
def print_log(args):
logging.info('model_name: '+ args.model_name)
logging.info('ssd_dim: '+ str(args.ssd_dim))
logging.info('Backbone: '+ args.backbone)
logging.info('BN: '+ str(args.bn))
logging.info('Conv7 Channel: '+ str(args.c7_channel))
if 'RefineDet' in args.backbone:
logging.info('Refine: ' + str(args.refine))
logging.info('Deform: ' + str(args.deform))
logging.info('Multi-head: ' + str(args.multihead))
if args.resume:
logging.info('resume: '+ args.resume )
logging.info('start_iter: '+ str(args.start_iter))
elif args.resume_from_ssd:
logging.info('resume_from_ssd: '+ args.resume_from_ssd )
else:
logging.info('load pre-trained backbone: '+ args.basenet )
logging.info('lr: '+ str(args.lr))
logging.info('warm_epoch: '+ str(args.warm_epoch))
logging.info('gamam: '+ str(args.gamma))
logging.info('step_list: '+ str(args.step_list))
logging.info('save_interval: '+ str(args.save_interval))
logging.info('dataset_name: '+ args.dataset_name )
logging.info('set_file_name: '+ args.set_file_name )
logging.info('gpu_ids: '+ args.gpu_ids)
logging.info('augm_type: '+ args.augm_type)
logging.info('batch_size: '+ str(args.batch_size))
logging.info('loss weights: '+ str(args.loss_coe))
parser = argparse.ArgumentParser(description='Single Shot MultiBox Detector Training')
parser.add_argument('--basenet', default='vgg16bn_reducedfc.pth', help='pretrained base model')
parser.add_argument('--jaccard_threshold', default=0.5, type=float, help='Min Jaccard index for matching')
parser.add_argument('--batch_size', default=4, type=int, help='Batch size for training')
parser.add_argument('--resume', default=None, type=str, help='Resume from checkpoint') #'./weights/tssd300_VID2017_b8s8_RSkipTBLstm_baseAugmDrop2Clip5_FixVggExtraPreLocConf/ssd300_seqVID2017_20000.pth'
parser.add_argument('--resume_from_ssd', default=None, type=str, help='Resume vgg and extras from ssd checkpoint')
parser.add_argument('--num_workers', default=8, type=int, help='Number of workers used in dataloading')
parser.add_argument('--start_iter', default=0, type=int, help='Begin counting iterations starting from this value (should be used with resume)')
parser.add_argument('--cuda', default=True, type=str2bool, help='Use cuda to train model')
parser.add_argument('--lr', '--learning-rate', default=1e-4, type=float, help='initial learning rate')
parser.add_argument('--momentum', default=0.9, type=float, help='momentum')
parser.add_argument('--weight_decay', default=5e-4, type=float, help='Weight decay for SGD')
parser.add_argument('--gamma', default=0.1, type=float, help='Gamma update for SGD')
parser.add_argument('--log_iters', default=True, type=bool, help='Print the loss at each iteration')
parser.add_argument('--visdom', default=False, type=str2bool, help='Use visdom to for loss visualization')
parser.add_argument('--save_folder', default='./weights040/test', help='Location to save checkpoint models')
parser.add_argument('--dataset_name', default='VOC0712', help='VOC0712/VIDDET/seqVID2017/MOT17Det/seqMOT17Det')
parser.add_argument('--step_list', nargs='+', type=int, default=[30,50], help='step_list for learning rate')
parser.add_argument('--backbone', default='RefineDet_ResNet101', type=str, help='Backbone')
parser.add_argument('--c7_channel', default=1024, type=int, help='out_channel of Conv7 in VGG')
parser.add_argument('--refine', default=True, type=str2bool, help='Only work when backbone==RefineDet')
parser.add_argument('--deform', default=1, type=int, help='number of deform group. 0: Do not use defomable conv. Only work when backbone==RefineDet')
parser.add_argument('--multihead', default=True, type=str2bool, help='Multihead detection')
parser.add_argument('--drop', default=1.0, type=float, help='DropOut, Only work when backbone==RefineDet')
parser.add_argument('--model_name', default='ssd', type=str, help='which model selected')
parser.add_argument('--ssd_dim', default=320, type=int, help='ssd_dim 300, 320 or 512')
parser.add_argument('--gpu_ids', default='4,5', type=str, help='gpu number')
parser.add_argument('--augm_type', default='base', type=str, help='how to transform data')
parser.add_argument('--set_file_name', default='train', type=str, help='train_VID_DET/train_video_remove_no_object/train, MOT dataset does not use it')
parser.add_argument('--loss_coe', nargs='+', type=float, default=[1.0,1.0, 0.5], help='coefficients for loc, conf, att, asso')
parser.add_argument('--bn', default=False, type=str2bool, help='select sequence data in a skip way')
parser.add_argument('--save_interval', default=10, type=int, help='frequency of checkpoint saving')
parser.add_argument('--warm_epoch', default=0, type=int, help='warm epoch')
args = parser.parse_args()
if not os.path.exists(args.save_folder):
os.mkdir(args.save_folder)
current_time = time.strftime("%b_%d_%H:%M:%S_%Y", time.localtime())
logging.basicConfig(level=logging.DEBUG,
format='%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s',
datefmt='%a, %d %b %Y %H:%M:%S',
filename=os.path.join(args.save_folder, current_time+'.log'),
filemode='w')
console = logging.StreamHandler()
console.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(name)-12s: %(levelname)-8s %(message)s')
console.setFormatter(formatter)
logging.getLogger('').addHandler(console)
print_log(args)
os.environ["CUDA_VISIBLE_DEVICES"] = args.gpu_ids
device = torch.device('cuda' if args.cuda and torch.cuda.is_available() else 'cpu')
ssd_dim = args.ssd_dim
if args.dataset_name in ['MOT15', 'seqMOT15']:
prior = 'MOT_300'
cfg = mb_cfg[prior]
else:
prior = 'VOC_'+ str(args.ssd_dim)
if args.ssd_dim==300 and 'RFB' in args.backbone:
prior += '_RFB'
elif args.ssd_dim==512 and 'RefineDet' in args.backbone:
prior += '_RefineDet'
cfg = mb_cfg[prior]
train_sets, num_classes, data_root = dataset_training_cfg[args.dataset_name]
logging.info('train sets: ' + str(train_sets))
set_filename = args.set_file_name
if args.dataset_name[:3] == 'seq':
collate_fn = seq_detection_collate
elif args.dataset_name == 'COCO':
collate_fn = coco_detection_collate
else:
collate_fn = detection_collate
if args.dataset_name == 'UW':
means = (128, 128, 128)
else:
means = (104, 117, 123)
mean_np = np.array(means, dtype=np.int32)
batch_size = args.batch_size
weight_decay = args.weight_decay
max_epoch = args.step_list[-1]
gamma = 0.1
momentum = args.momentum
if args.visdom:
import visdom
viz = visdom.Visdom()
if 'RFB' in args.backbone:
from model.rfbnet_vgg import build_net
ssd_net = build_net('train', ssd_dim, num_classes, bn=args.bn)
elif 'RefineDet' in args.backbone:
if 'MobNet' in args.backbone:
if args.deform:
from model.dualrefinedet_mobilenet import build_net
ssd_net = build_net('train', size=ssd_dim, num_classes=num_classes,
def_groups=args.deform, multihead=args.multihead)
else:
from model.refinedet_mobilenet import build_net
ssd_net = build_net('train', size=ssd_dim, num_classes=num_classes, use_refine=args.refine)
elif args.deform:
from model.dualrefinedet_vggbn import build_net
ssd_net = build_net('train', size=ssd_dim, num_classes=num_classes, c7_channel=args.c7_channel, def_groups=args.deform, bn=args.bn, multihead=args.multihead)
else:
from model.refinedet_vgg import build_net
ssd_net = build_net('train', size=ssd_dim, num_classes=num_classes, use_refine=args.refine, c7_channel=args.c7_channel, bn=args.bn, multihead=args.multihead)
elif 'MobNet' in args.backbone:
from model.ssd4scale_mobile import build_net
ssd_net = build_net('train', size=ssd_dim, num_classes=num_classes, c7_channel=args.c7_channel)
elif '4s' in args.backbone:
from model.ssd4scale_vgg import build_net
ssd_net = build_net('train', size=ssd_dim, num_classes=num_classes, c7_channel=args.c7_channel, bn=args.bn)
else:
ssd_net = None
net = ssd_net
if device==torch.device('cuda'):
net = torch.nn.DataParallel(ssd_net)
cudnn.benchmark = True
print(ssd_net)
net = net.to(device)
if args.resume:
logging.info('Resuming training, loading {}...'.format(args.resume))
ssd_net.load_weights(args.resume)
else:
backbone_weights = torch.load('../weights/'+ args.basenet)
logging.info('Loading base network...')
ssd_net.backbone.load_state_dict(backbone_weights)
if not args.resume:
from model.networks import net_init
net_init(ssd_net, args.backbone, logging, refine=args.refine, deform=args.deform, multihead=args.multihead)
if args.augm_type == 'ssd':
data_transform = SSDAugmentation
else:
data_transform = BaseTransform
optimizer = optim.SGD(net.parameters(),
lr=args.lr, momentum=args.momentum, weight_decay=args.weight_decay)
# criterion
if 'RefineDet' in args.backbone and args.refine:
use_refine = True
arm_criterion = RefineMultiBoxLoss(2, 0.5, True, 0, True, 3, 0.5, False, device=device, only_loc=True)
criterion = RefineMultiBoxLoss(num_classes, 0.5, True, 0, True, 3, 0.5, False, device=device)
else:
use_refine = False
criterion = MultiBoxLoss(num_classes, 0.5, True, 0, True, 3, 0.5, False, device=device)
priorbox = PriorBox(cfg)
with torch.no_grad():
priors = priorbox.forward().to(device)
def train():
net.train()
epoch = args.start_iter
if args.dataset_name == 'COCO':
dataset = COCODetection(COCOroot, year='trainval2014', image_sets=train_sets, transform=data_transform(ssd_dim, means), phase='train')
else:
dataset = VOCDetection(data_root, train_sets, data_transform(ssd_dim, means),
AnnotationTransform(dataset_name=args.dataset_name),
dataset_name=args.dataset_name, set_file_name=set_filename)
epoch_size = len(dataset) // args.batch_size
drop_step = [s * epoch_size for s in args.step_list]
max_iter = max_epoch * epoch_size
logging.info('Loading Dataset:' + args.dataset_name + ' dataset size: ' +str(len(dataset)))
step_index = 0
if args.visdom:
# initialize visdom loss plot
y_dim = 3
legend = ['Loss', 'Loc Loss', 'Conf Loss',]
if use_refine:
y_dim += 1
legend += ['Arm Loc Loss',]
lot = viz.line(
X=torch.zeros((1,)),
Y=torch.zeros((1, y_dim)),
opts=dict(
xlabel='Iteration',
ylabel='Loss',
title=args.save_folder.split('/')[-1],
legend=legend,
)
)
batch_iterator = None
data_loader = data.DataLoader(dataset, batch_size, num_workers=args.num_workers, shuffle=True,
collate_fn=collate_fn,
pin_memory=True)
for iteration in range(epoch*epoch_size, max_iter + 10):
if (not batch_iterator) or (iteration % epoch_size == 0):
# create batch iterator
batch_iterator = iter(data_loader)
if epoch % args.save_interval == 0:
logging.info('Saving state, epoch: '+ str(epoch))
torch.save(ssd_net.state_dict(), os.path.join(args.save_folder, args.model_name + str(
ssd_dim) + '_' + args.dataset_name + '_' +repr(epoch) + '.pth'))
epoch += 1
t0 = time.time()
if iteration in drop_step:
step_index = drop_step.index(iteration) + 1
adjust_learning_rate(optimizer, args.gamma, epoch, step_index, iteration, epoch_size)
# adjust_learning_rate(optimizer, args.gamma)
collected_data = next(batch_iterator)
with torch.no_grad():
images, targets = collected_data[:2]
images = images.to(device)
targets = [anno.to(device) for anno in targets]
# forward
loss = torch.tensor(0., requires_grad=True).to(device)
out = net(images)
# backward
optimizer.zero_grad()
if use_refine:
loss_arm_l = arm_criterion(out[0], priors, targets)
loss_l, loss_c = criterion(out[2:], priors, targets, arm_data=out[:2])
loss += args.loss_coe[0] * loss_arm_l
else:
loss_l, loss_c = criterion(out, priors, targets)
loss += args.loss_coe[0] * loss_l + args.loss_coe[1] * loss_c
loss.backward()
optimizer.step()
t1 = time.time()
if iteration % 10 == 0:
if use_refine:
logging.info('Epoch:' + repr(epoch) + ', epochiter: ' + repr(iteration % epoch_size) + '/' + repr(epoch_size) + ', total_iter ' + repr(
iteration) + ' || loss: %.4f, Loss_l: %.4f, loss_c: %.4f, loss_arm_l: %.4f, lr: %.5f || Timer: %.4f sec.' % (
loss, loss_l, loss_c,loss_arm_l, optimizer.param_groups[0]['lr'], t1 - t0))
else:
logging.info('Epoch:' + repr(epoch) + ', epochiter: ' + repr(iteration % epoch_size) + '/' + repr(epoch_size) + ', total_iter ' + repr(
iteration) + ' || loss: %.4f, Loss_l: %.4f, loss_c: %.4f, lr: %.5f || Timer: %.4f sec.' % (loss, loss_l, loss_c, optimizer.param_groups[0]['lr'], t1 - t0))
if args.visdom:
y_dis = [loss.cpu(), args.loss_coe[0]*loss_l.cpu(), args.loss_coe[1]*loss_c.cpu()]
if iteration == 1000:
# initialize visdom loss plot
lot = viz.line(
X=torch.zeros((1,)),
Y=torch.zeros((1, y_dim)),
opts=dict(
xlabel='Iteration',
ylabel='Loss',
title=args.save_folder.split('/')[-1],
legend=legend,
)
)
if use_refine:
y_dis += [args.loss_coe[0]*loss_arm_l.cpu(),]
# update = 'append' if iteration
viz.line(
X=torch.ones((1, y_dim)) * iteration,
Y=torch.FloatTensor(y_dis).unsqueeze(0),
win=lot,
update='append',
opts=dict(
xlabel='Iteration',
ylabel='Loss',
title=args.save_folder.split('/')[-1],
legend=legend,)
)
torch.save(ssd_net.state_dict(),
os.path.join(args.save_folder, args.model_name + str(ssd_dim) + '_' + args.dataset_name + '_' +
repr(iteration) + '.pth'))
print('Complet Training. Saving state, iter:', iteration)
# def adjust_learning_rate(optimizer, gamma):
# for param_group in optimizer.param_groups:
# param_group['lr'] *= gamma
def adjust_learning_rate(optimizer, gamma, epoch, step_index, iteration, epoch_size):
if epoch <= args.warm_epoch:
lr = 1e-6 + (args.lr - 1e-6) * iteration / (epoch_size * args.warm_epoch)
else:
lr = args.lr * (gamma ** (step_index))
for param_group in optimizer.param_groups:
param_group['lr'] = lr
# return lr
if __name__ == '__main__':
train()
|
py | 1a4a914fd9f610b8c9ac5684cdf2b93d079ae521 | from __future__ import absolute_import
from django.db.models import Q
from rest_framework import serializers
from rest_framework.response import Response
from sentry.api.bases.organization import (
OrganizationEndpoint, OrganizationPermission
)
from sentry.api.exceptions import ResourceDoesNotExist
from sentry.api.serializers import serialize
from sentry.api.serializers.models.team import TeamWithProjectsSerializer
from sentry.models import (
AuditLogEntryEvent, OrganizationAccessRequest,
OrganizationMember, OrganizationMemberTeam, Team
)
ERR_INSUFFICIENT_ROLE = 'You cannot modify a member other than yourself.'
class OrganizationMemberTeamSerializer(serializers.Serializer):
isActive = serializers.BooleanField()
class RelaxedOrganizationPermission(OrganizationPermission):
_allowed_scopes = [
'org:read', 'org:write', 'org:admin',
'member:read', 'member:write', 'member:admin',
]
scope_map = {
'GET': _allowed_scopes,
'POST': _allowed_scopes,
'PUT': _allowed_scopes,
# DELETE checks for role comparison as you can either remove a member
# with a lower access role, or yourself, without having the req. scope
'DELETE': _allowed_scopes,
}
class OrganizationMemberTeamDetailsEndpoint(OrganizationEndpoint):
permission_classes = [RelaxedOrganizationPermission]
def _can_access(self, request, member):
# TODO(dcramer): ideally org owners/admins could perform these actions
if request.is_superuser():
return True
if not request.user.is_authenticated():
return False
if request.user.id == member.user_id:
return True
return False
def _get_member(self, request, organization, member_id):
if member_id == 'me':
queryset = OrganizationMember.objects.filter(
organization=organization,
user__id=request.user.id,
user__is_active=True,
)
else:
queryset = OrganizationMember.objects.filter(
Q(user__is_active=True) | Q(user__isnull=True),
organization=organization,
id=member_id,
)
return queryset.select_related('user').get()
def post(self, request, organization, member_id, team_slug):
"""
Join a team
Join or request access to a team.
If the user is already a member of the team, this will simply return
a 204.
If the user needs permission to join the team, an access request will
be generated and the returned status code will be 202.
"""
try:
om = self._get_member(request, organization, member_id)
except OrganizationMember.DoesNotExist:
raise ResourceDoesNotExist
if not self._can_access(request, om):
return Response({'detail': ERR_INSUFFICIENT_ROLE}, status=400)
try:
team = Team.objects.get(
organization=organization,
slug=team_slug,
)
except Team.DoesNotExist:
raise ResourceDoesNotExist
try:
omt = OrganizationMemberTeam.objects.get(
team=team,
organizationmember=om,
)
except OrganizationMemberTeam.DoesNotExist:
if not (request.access.has_scope('org:write') or organization.flags.allow_joinleave):
omt, created = OrganizationAccessRequest.objects.get_or_create(
team=team,
member=om,
)
if created:
omt.send_request_email()
return Response(status=202)
omt = OrganizationMemberTeam.objects.create(
team=team,
organizationmember=om,
)
else:
return Response(status=204)
self.create_audit_entry(
request=request,
organization=organization,
target_object=omt.id,
target_user=om.user,
event=AuditLogEntryEvent.MEMBER_JOIN_TEAM,
data=omt.get_audit_log_data(),
)
return Response(serialize(
team, request.user, TeamWithProjectsSerializer()), status=201)
def delete(self, request, organization, member_id, team_slug):
"""
Leave a team
Leave a team.
"""
try:
om = self._get_member(request, organization, member_id)
except OrganizationMember.DoesNotExist:
raise ResourceDoesNotExist
if not self._can_access(request, om):
return Response({'detail': ERR_INSUFFICIENT_ROLE}, status=400)
try:
team = Team.objects.get(
organization=organization,
slug=team_slug,
)
except Team.DoesNotExist:
raise ResourceDoesNotExist
try:
omt = OrganizationMemberTeam.objects.get(
team=team,
organizationmember=om,
)
except OrganizationMemberTeam.DoesNotExist:
pass
else:
self.create_audit_entry(
request=request,
organization=organization,
target_object=omt.id,
target_user=om.user,
event=AuditLogEntryEvent.MEMBER_LEAVE_TEAM,
data=omt.get_audit_log_data(),
)
omt.delete()
return Response(serialize(
team, request.user, TeamWithProjectsSerializer()), status=200)
|
py | 1a4a91764f701910b720e66f1063799d486040d1 | from schematic.models.metadata import MetadataModel
from schematic import CONFIG
config = CONFIG.load_config("schematic/config.yml")
inputMModelLocation = CONFIG["model"]["input"]["location"]
inputMModelLocationType = CONFIG["model"]["input"]["file_type"]
manifest_title = CONFIG["manifest"]["title"]
manifest_data_type = CONFIG["manifest"]["data_type"]
metadata_model = MetadataModel(inputMModelLocation, inputMModelLocationType)
|
py | 1a4a9278f7a7c848819ec33d5813a7216ae0c931 | from __future__ import division, print_function
import argparse
import datetime
import json
import os
import os.path
import shlex
import subprocess
DATA_TABLE_NAME = "ncbi_taxonomy_sqlite"
def build_sqlite(taxonomy_dir, output_directory, name=None, description=None):
if not os.path.exists(output_directory):
os.mkdir(output_directory)
output_filename = os.path.join(output_directory, "tax.ncbitaxonomy.sqlite")
cmd_str = "taxonomy_util -d {} to_sqlite {}".format(output_filename, taxonomy_dir)
cmd = shlex.split(cmd_str)
subprocess.check_call(cmd)
today_str = datetime.date.today().strftime("%Y-%m-%d")
if name is None or name.strip() == "":
name = "ncbitaxonomy_build_" + today_str
if description is None or description.strip() == "":
description = "NCBI Taxonomy database (built on {})".format(today_str)
data = [dict(value=name, description=description, path=output_filename)]
return data
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Build SQLite database from NCBI taxonomy"
)
parser.add_argument(
"--output_directory", default="tmp", help="Directory to write output to"
)
parser.add_argument(
"taxonomy_dir",
help="Path to directory containing NCBI Taxonomy nodes.dml and names.dmp file"
)
parser.add_argument(
"name",
help="Name to use for the entry in the data table"
)
parser.add_argument(
"description",
help="Description to use for the entry in the data table"
)
parser.add_argument(
"galaxy_datamanager_filename",
help="Galaxy JSON format file describing data manager inputs",
)
args = parser.parse_args()
config = json.load(open(args.galaxy_datamanager_filename))
output_directory = config.get("output_data", [{}])[0].get("extra_files_path", None)
if output_directory is None:
output_directory = args.output_directory
if not os.path.isdir(output_directory):
os.makedirs(output_directory)
data_manager_dict = {}
data_manager_dict["data_tables"] = json.load(
open(args.galaxy_datamanager_filename)
).get("data_tables", {})
data_manager_dict["data_tables"] = data_manager_dict.get("data_tables", {})
data_manager_dict["data_tables"][DATA_TABLE_NAME] = data_manager_dict[
"data_tables"
].get(DATA_TABLE_NAME, [])
data = build_sqlite(args.taxonomy_dir, output_directory, args.name, args.description)
data_manager_dict["data_tables"][DATA_TABLE_NAME].extend(data)
print(json.dumps(data_manager_dict))
json.dump(data_manager_dict, open(args.galaxy_datamanager_filename, "w"))
|
py | 1a4a947e1f3919c45f7839c8da41fbf4b8d22a35 | """Customized Django paginators."""
from __future__ import unicode_literals
from math import ceil
from django.core.paginator import (
EmptyPage,
Page,
PageNotAnInteger,
Paginator,
)
class CustomPage(Page):
"""Handle different number of items on the first page."""
def start_index(self):
"""Return the 1-based index of the first item on this page."""
paginator = self.paginator
# Special case, return zero if no items.
if paginator.count == 0:
return 0
elif self.number == 1:
return 1
return (
(self.number - 2) * paginator.per_page + paginator.first_page + 1)
def end_index(self):
"""Return the 1-based index of the last item on this page."""
paginator = self.paginator
# Special case for the last page because there can be orphans.
if self.number == paginator.num_pages:
return paginator.count
return (self.number - 1) * paginator.per_page + paginator.first_page
class BasePaginator(Paginator):
"""A base paginator class subclassed by the other real paginators.
Handle different number of items on the first page.
"""
def __init__(self, object_list, per_page, **kwargs):
self._num_pages = None
if 'first_page' in kwargs:
self.first_page = kwargs.pop('first_page')
else:
self.first_page = per_page
super(BasePaginator, self).__init__(object_list, per_page, **kwargs)
def get_current_per_page(self, number):
return self.first_page if number == 1 else self.per_page
class DefaultPaginator(BasePaginator):
"""The default paginator used by this application."""
def page(self, number):
number = self.validate_number(number)
if number == 1:
bottom = 0
else:
bottom = ((number - 2) * self.per_page + self.first_page)
top = bottom + self.get_current_per_page(number)
if top + self.orphans >= self.count:
top = self.count
return CustomPage(self.object_list[bottom:top], number, self)
def _get_num_pages(self):
if self._num_pages is None:
if self.count == 0 and not self.allow_empty_first_page:
self._num_pages = 0
else:
hits = max(0, self.count - self.orphans - self.first_page)
try:
self._num_pages = int(ceil(hits / float(self.per_page))) + 1
except ZeroDivisionError:
self._num_pages = 0 # fallback to a safe value
return self._num_pages
num_pages = property(_get_num_pages)
class LazyPaginator(BasePaginator):
"""Implement lazy pagination."""
def validate_number(self, number):
try:
number = int(number)
except ValueError:
raise PageNotAnInteger('That page number is not an integer')
if number < 1:
raise EmptyPage('That page number is less than 1')
return number
def page(self, number):
number = self.validate_number(number)
current_per_page = self.get_current_per_page(number)
if number == 1:
bottom = 0
else:
bottom = ((number - 2) * self.per_page + self.first_page)
top = bottom + current_per_page
# Retrieve more objects to check if there is a next page.
objects = list(self.object_list[bottom:top + self.orphans + 1])
objects_count = len(objects)
if objects_count > (current_per_page + self.orphans):
# If another page is found, increase the total number of pages.
self._num_pages = number + 1
# In any case, return only objects for this page.
objects = objects[:current_per_page]
elif (number != 1) and (objects_count <= self.orphans):
raise EmptyPage('That page contains no results')
else:
# This is the last page.
self._num_pages = number
return CustomPage(objects, number, self)
def _get_count(self):
raise NotImplementedError
count = property(_get_count)
def _get_num_pages(self):
return self._num_pages
num_pages = property(_get_num_pages)
def _get_page_range(self):
raise NotImplementedError
page_range = property(_get_page_range)
|
py | 1a4a9519d4775df34febff545d6e98beaea68a58 | # -*- coding: utf-8 -*-
# Copyright 2018 IBM.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# =============================================================================
# Convert graph partitioning instances into Pauli list
# Deal with Gset format. See https://web.stanford.edu/~yyye/yyye/Gset/
import logging
from collections import OrderedDict
import numpy as np
import numpy.random as rand
from qiskit.quantum_info import Pauli
from qiskit_aqua import Operator
logger = logging.getLogger(__name__)
def random_graph(n, weight_range=10, edge_prob=0.3, savefile=None, seed=None):
"""Generate random Erdos-Renyi graph.
Args:
n (int): number of nodes.
weight_range (int): weights will be smaller than this value,
in absolute value.
edge_prob (float): probability of edge appearing.
savefile (str or None): name of file where to save graph.
seed (int or None): random seed - if None, will not initialize.
Returns:
numpy.ndarray: adjacency matrix (with weights).
"""
assert(weight_range >= 0)
if seed:
rand.seed(seed)
w = np.zeros((n, n))
m = 0
for i in range(n):
for j in range(i+1, n):
if rand.rand() <= edge_prob:
w[i, j] = rand.randint(1, weight_range)
if rand.rand() >= 0.5:
w[i, j] *= -1
m += 1
w += w.T
if savefile:
with open(savefile, 'w') as outfile:
outfile.write('{} {}\n'.format(n, m))
for i in range(n):
for j in range(i+1, n):
if w[i, j] != 0:
outfile.write('{} {} {}\n'.format(i + 1, j + 1, w[i, j]))
return w
def get_graphpartition_qubitops(weight_matrix):
"""Generate Hamiltonian for the graph partitioning
Args:
weight_matrix (numpy.ndarray) : adjacency matrix.
Returns:
operator.Operator, float: operator for the Hamiltonian and a
constant shift for the obj function.
Goals:
1 separate the vertices into two set of the same size
2 make sure the number of edges between the two set is minimized.
Hamiltonian:
H = H_A + H_B
H_A = sum\_{(i,j)\in E}{(1-ZiZj)/2}
H_B = (sum_{i}{Zi})^2 = sum_{i}{Zi^2}+sum_{i!=j}{ZiZj}
H_A is for achieving goal 2 and H_B is for achieving goal 1.
"""
num_nodes = len(weight_matrix)
pauli_list = []
shift = 0
for i in range(num_nodes):
for j in range(i):
if weight_matrix[i, j] != 0:
xp = np.zeros(num_nodes, dtype=np.bool)
zp = np.zeros(num_nodes, dtype=np.bool)
zp[i] = True
zp[j] = True
pauli_list.append([-0.5, Pauli(zp, xp)])
shift += 0.5
for i in range(num_nodes):
for j in range(num_nodes):
if i != j:
xp = np.zeros(num_nodes, dtype=np.bool)
zp = np.zeros(num_nodes, dtype=np.bool)
zp[i] = True
zp[j] = True
pauli_list.append([1, Pauli(zp, xp)])
else:
shift += 1
return Operator(paulis=pauli_list), shift
def parse_gset_format(filename):
"""Read graph in Gset format from file.
Args:
filename (str): name of the file.
Returns:
numpy.ndarray: adjacency matrix as a 2D numpy array.
"""
n = -1
with open(filename) as infile:
header = True
m = -1
count = 0
for line in infile:
v = map(lambda e: int(e), line.split())
if header:
n, m = v
w = np.zeros((n, n))
header = False
else:
s, t, x = v
s -= 1 # adjust 1-index
t -= 1 # ditto
w[s, t] = t
count += 1
assert m == count
w += w.T
return w
def objective_value(x, w):
"""Compute the value of a cut.
Args:
x (numpy.ndarray): binary string as numpy array.
w (numpy.ndarray): adjacency matrix.
Returns:
float: value of the cut.
"""
X = np.outer(x, (1-x))
w_01 = np.where(w != 0, 1, 0)
return np.sum(w_01 * X)
def get_graph_solution(x):
"""Get graph solution from binary string.
Args:
x (numpy.ndarray) : binary string as numpy array.
Returns:
numpy.ndarray: graph solution as binary numpy array.
"""
return 1 - x
def sample_most_likely(state_vector):
"""Compute the most likely binary string from state vector.
Args:
state_vector (numpy.ndarray or dict): state vector or counts.
Returns:
numpy.ndarray: binary string as numpy.ndarray of ints.
"""
if isinstance(state_vector, dict) or isinstance(state_vector, OrderedDict):
# get the binary string with the largest count
binary_string = sorted(state_vector.items(), key=lambda kv: kv[1])[-1][0]
x = np.asarray([int(y) for y in reversed(list(binary_string))])
return x
else:
n = int(np.log2(state_vector.shape[0]))
k = np.argmax(np.abs(state_vector))
x = np.zeros(n)
for i in range(n):
x[i] = k % 2
k >>= 1
return x
def get_gset_result(x):
"""Get graph solution in Gset format from binary string.
Args:
x (numpy.ndarray) : binary string as numpy array.
Returns:
Dict[int, int]: graph solution in Gset format.
"""
return {i + 1: 1 - x[i] for i in range(len(x))}
|
py | 1a4a964936105a8905169dcb884659767e14371b | from scrapy import cmdline
cmdline.execute('scrapy crawl shufazidian'.split(' ')) |
py | 1a4a967c6c8399fc0f7c7b06c35153322b274098 | #!/usr/bin/env python
# encoding: utf-8
"""
@author: sherlock
@contact: [email protected]
"""
import logging
import os
import sys
sys.path.append('.')
from fastreid.config import get_cfg
from fastreid.engine import DefaultTrainer, default_argument_parser, default_setup, launch, Hazytrainer
from fastreid.utils.checkpoint import Checkpointer
from fastreid.engine import hooks
from fastreid.evaluation import ReidEvaluator
class H_Trainer(Hazytrainer):
@classmethod
def build_evaluator(cls, cfg, num_query, output_folder=None):
if output_folder is None:
output_folder = os.path.join(cfg.OUTPUT_DIR, "inference")
return ReidEvaluator(cfg, num_query)
class BaseTrainer(DefaultTrainer):
@classmethod
def build_evaluator(cls, cfg, num_query, output_folder=None):
if output_folder is None:
output_folder = os.path.join(cfg.OUTPUT_DIR, "inference")
return ReidEvaluator(cfg, num_query)
def setup(args):
"""
Create configs and perform basic setups.
"""
cfg = get_cfg()
cfg.merge_from_file(args.config_file)
cfg.merge_from_list(args.opts)
cfg.freeze()
default_setup(cfg, args)
return cfg
def main(args):
cfg = setup(args)
if args.eval_only:
logger = logging.getLogger("fastreid.trainer")
cfg.defrost()
cfg.MODEL.BACKBONE.PRETRAIN = False
model = H_Trainer.build_model(cfg)
Checkpointer(model).load(cfg.MODEL.WEIGHTS) # load trained model
if cfg.TEST.PRECISE_BN.ENABLED and hooks.get_bn_modules(model):
prebn_cfg = cfg.clone()
prebn_cfg.DATALOADER.NUM_WORKERS = 0 # save some memory and time for PreciseBN
prebn_cfg.DATASETS.NAMES = tuple([cfg.TEST.PRECISE_BN.DATASET]) # set dataset name for PreciseBN
logger.info("Prepare precise BN dataset")
hooks.PreciseBN(
# Run at the same freq as (but before) evaluation.
model,
# Build a new data loader to not affect training
H_Trainer.build_train_loader(prebn_cfg),
cfg.TEST.PRECISE_BN.NUM_ITER,
).update_stats()
res = H_Trainer.test(cfg, model)
return res
trainer = H_Trainer(cfg)
trainer.resume_or_load(resume=args.resume)
return trainer.train()
if __name__ == "__main__":
args = default_argument_parser()
args.add_argument("--info", type=str, default="test", help="information of parameters and losses")
args = args.parse_args()
print("Command Line Args:", args)
launch(
main,
args.num_gpus,
num_machines=args.num_machines,
machine_rank=args.machine_rank,
dist_url=args.dist_url,
args=(args,),
)
|
py | 1a4a96a08fc7151c082b762969e6846ff6d7604c | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import os
from airflow.models.dag import DAG
from airflow.operators.python import PythonOperator
from airflow.providers.amazon.aws.hooks.s3 import S3Hook
from airflow.providers.amazon.aws.operators.s3_bucket import S3CreateBucketOperator, S3DeleteBucketOperator
from airflow.utils.dates import days_ago
BUCKET_NAME = os.environ.get('BUCKET_NAME', 'test-airflow-12345')
def upload_keys():
"""This is a python callback to add keys into the s3 bucket"""
# add keys to bucket
s3_hook = S3Hook()
for i in range(0, 3):
s3_hook.load_string(
string_data="input",
key=f"path/data{i}",
bucket_name=BUCKET_NAME,
)
with DAG(
dag_id='s3_bucket_dag',
schedule_interval=None,
start_date=days_ago(2),
max_active_runs=1,
tags=['example'],
) as dag:
create_bucket = S3CreateBucketOperator(
task_id='s3_bucket_dag_create',
bucket_name=BUCKET_NAME,
region_name='us-east-1',
)
add_keys_to_bucket = PythonOperator(
task_id="s3_bucket_dag_add_keys_to_bucket", python_callable=upload_keys
)
delete_bucket = S3DeleteBucketOperator(
task_id='s3_bucket_dag_delete',
bucket_name=BUCKET_NAME,
force_delete=True,
)
create_bucket >> add_keys_to_bucket >> delete_bucket
|
py | 1a4a97a11776c28fd79b9ba253622bddb0c3d0a0 | import gocept.httpserverlayer.custom
import mock
import pkg_resources
import suds.sax.parser
import time
import unittest
import zeit.cms.checkout.helper
import zeit.vgwort.connection
import zeit.vgwort.interfaces
import zeit.vgwort.testing
import zope.component
class WebServiceTest(zeit.vgwort.testing.EndToEndTestCase):
def setUp(self):
super(WebServiceTest, self).setUp()
self.service = zope.component.getUtility(
zeit.vgwort.interfaces.IMessageService)
@property
def repository(self):
import zeit.cms.repository.interfaces
return zope.component.getUtility(
zeit.cms.repository.interfaces.IRepository)
def add_token(self, content):
ts = zope.component.getUtility(zeit.vgwort.interfaces.ITokens)
ts.order(1)
token = zeit.vgwort.interfaces.IToken(content)
token.public_token, token.private_token = ts.claim()
def test_smoketest_successful_call_roundtrip(self):
result = self.service.call('qualityControl')
self.assert_(len(result.qualityControlValues) > 0)
def test_validation_error_should_raise_error_message(self):
products = list(zeit.cms.content.sources.PRODUCT_SOURCE(None))
product = [x for x in products if x.id == 'KINZ'][0]
content = self.repository['testcontent']
with zeit.cms.checkout.helper.checked_out(content) as co:
co.product = product
with self.assertRaises(zeit.vgwort.interfaces.WebServiceError) as e:
self.service.new_document(self.repository['testcontent'])
self.assertIn(
"The value 'None' of attribute 'privateidentificationid'",
str(e.exception))
def test_business_fault_should_raise_error_message(self):
shakespeare = zeit.content.author.author.Author()
shakespeare.title = 'Sir'
shakespeare.firstname = 'William'
shakespeare.lastname = 'Shakespeare'
shakespeare.vgwortid = 12345
self.repository['shakespeare'] = shakespeare
shakespeare = self.repository['shakespeare']
content = self.repository['testcontent']
with zeit.cms.checkout.helper.checked_out(content) as co:
co.authorships = [co.authorships.create(shakespeare)]
co.title = 'Title'
co.teaserText = 'asdf'
content = self.repository['testcontent']
self.add_token(content)
try:
self.service.new_document(content)
except zeit.vgwort.interfaces.WebServiceError, e:
self.assertIn('Shakespeare', unicode(e))
else:
self.fail('WebServiceError should have been raised.')
def test_report_new_document(self):
author = zeit.content.author.author.Author()
author.firstname = 'Tina'
author.lastname = 'Groll'
author.vgwortid = 2601970
self.repository['author'] = author
author = self.repository['author']
content = self.repository['testcontent']
with zeit.cms.checkout.helper.checked_out(content) as co:
co.authorships = [co.authorships.create(author)]
co.title = 'Title'
co.teaserText = 'x' * 2000
content = self.repository['testcontent']
self.add_token(content)
self.service.new_document(content)
def test_author_without_vgwotid_works(self):
author = zeit.content.author.author.Author()
author.firstname = 'Tina'
author.lastname = 'Groll'
self.repository['author'] = author
author = self.repository['author']
content = self.repository['testcontent']
with zeit.cms.checkout.helper.checked_out(content) as co:
co.authorships = [co.authorships.create(author)]
co.title = 'Title'
co.teaserText = 'x' * 2000
content = self.repository['testcontent']
self.add_token(content)
self.service.new_document(content)
def test_non_author_doc_as_author_should_be_ignored(self):
import transaction
import zeit.connector.interfaces
author = zeit.content.author.author.Author()
author.firstname = 'Tina'
author.lastname = 'Groll'
self.repository['tina'] = author
author = self.repository['tina']
author2 = zeit.content.author.author.Author()
author2.firstname = 'Invalid'
author2.lastname = 'stuff'
self.repository['author2'] = author2
author2 = self.repository['author2']
content = self.repository['testcontent']
with zeit.cms.checkout.helper.checked_out(content) as co:
co.authorships = [co.authorships.create(author),
co.authorships.create(author2)]
co.title = 'Title'
co.teaserText = 'x' * 2000
content = self.repository['testcontent']
connector = zope.component.getUtility(
zeit.connector.interfaces.IConnector)
transaction.commit()
connector._properties[u'http://xml.zeit.de/author2'][
('type', 'http://namespaces.zeit.de/CMS/meta')] = 'foo'
self.add_token(content)
self.service.new_document(content)
class RequestHandler(gocept.httpserverlayer.custom.RequestHandler):
def do_GET(self):
self.send_response(200)
self.end_headers()
wsdl = pkg_resources.resource_string(__name__, 'pixelService.wsdl')
wsdl = wsdl.replace('__PORT__', str(HTTP_LAYER['http_port']))
self.wfile.write(wsdl)
def do_POST(self):
self.send_response(500)
self.send_header('Content-Type', 'text/html')
self.send_header('Content-Length', 0)
self.end_headers()
# suds expects SOAP or nothing (and may the Lord have mercy if the
# server should return 500 with an HTML error message instead...)
self.wfile.write('')
HTTP_LAYER = gocept.httpserverlayer.custom.Layer(
RequestHandler, name='HTTPLayer', module=__name__)
class HTTPErrorTest(unittest.TestCase):
layer = HTTP_LAYER
def test_http_error_should_raise_technical_error(self):
service = zeit.vgwort.connection.PixelService(
'http://%s' % self.layer['http_address'], '', '')
time.sleep(1)
self.assertRaises(
zeit.vgwort.interfaces.TechnicalError,
lambda: list(service.order_pixels(1)))
class MessageServiceTest(zeit.vgwort.testing.EndToEndTestCase):
def setUp(self):
super(MessageServiceTest, self).setUp()
# Need a real webservice to load the WSDL.
self.service = zope.component.getUtility(
zeit.vgwort.interfaces.IMessageService)
@property
def repository(self):
import zeit.cms.repository.interfaces
return zope.component.getUtility(
zeit.cms.repository.interfaces.IRepository)
def get_content(self, authors, freetext=None):
products = list(zeit.cms.content.sources.PRODUCT_SOURCE(None))
product = [x for x in products if x.id == 'KINZ'][0]
content = self.repository['testcontent']
with zeit.cms.checkout.helper.checked_out(content) as co:
co.authorships = [co.authorships.create(x) for x in authors]
co.authors = freetext
co.product = product
co.title = 'Title'
co.teaserText = 'x' * 2000
return self.repository['testcontent']
def test_content_must_have_commonmetadata(self):
with self.assertRaises(zeit.vgwort.interfaces.WebServiceError) as e:
self.service.new_document(mock.sentinel.notanarticle)
self.assertEqual(
e.exception.args,
('Does not seem to be an article -- stale cache?',))
def test_product_is_passed_as_additional_author_with_code(self):
author = zeit.content.author.author.Author()
author.firstname = 'Tina'
author.lastname = 'Groll'
author.vgwortid = 2601970
self.repository['author'] = author
author = self.repository['author']
content = self.get_content([author])
with mock.patch('zeit.vgwort.connection.MessageService.call') as call:
self.service.new_document(content)
parties = call.call_args[0][1]
authors = parties.authors.author
self.assertEqual(2, len(authors))
self.assertEqual('1234abc', authors[-1].code)
def test_author_code_should_be_passed_instead_of_name(self):
author = zeit.content.author.author.Author()
author.firstname = 'Tina'
author.lastname = 'Groll'
author.vgwortid = 2601970
author.vgwortcode = 'codecodecode'
self.repository['author'] = author
author = self.repository['author']
content = self.get_content([author])
with mock.patch('zeit.vgwort.connection.MessageService.call') as call:
self.service.new_document(content)
parties = call.call_args[0][1]
authors = parties.authors.author
self.assertEqual(2, len(authors))
self.assertEqual('codecodecode', authors[0].code)
def test_author_name_should_be_passed(self):
author = zeit.content.author.author.Author()
author.firstname = 'Tina'
author.lastname = 'Groll'
self.repository['author'] = author
author = self.repository['author']
content = self.get_content([author])
with mock.patch('zeit.vgwort.connection.MessageService.call') as call:
self.service.new_document(content)
parties = call.call_args[0][1]
authors = parties.authors.author
self.assertEqual(2, len(authors))
self.assertEqual('Tina', authors[0].firstName)
self.assertEqual('Groll', authors[0].surName)
def test_url_should_point_to_www_zeit_de(self):
content = self.get_content([])
with mock.patch('zeit.vgwort.connection.MessageService.call') as call:
self.service.new_document(content)
self.assertEqual('http://www.zeit.de/testcontent/komplettansicht',
call.call_args[0][3].webrange[0].url)
def test_freetext_authors_should_be_passed(self):
content = self.get_content(
[], freetext=(('Paul Auster', 'Hans Christian Andersen')))
with mock.patch('zeit.vgwort.connection.MessageService.call') as call:
self.service.new_document(content)
parties = call.call_args[0][1]
authors = parties.authors.author
self.assertEqual(3, len(authors)) # two author, one product
self.assertEqual('Paul', authors[0].firstName)
self.assertEqual('Auster', authors[0].surName)
self.assertEqual('Hans Christian', authors[1].firstName)
self.assertEqual('Andersen', authors[1].surName)
def test_freetext_authors_should_be_passed_unless_structured_given(self):
author = zeit.content.author.author.Author()
author.firstname = 'Tina'
author.lastname = 'Groll'
self.repository['author'] = author
author = self.repository['author']
content = self.get_content(
[author], freetext=(('Paul Auster', 'Hans Christian Andersen')))
with mock.patch('zeit.vgwort.connection.MessageService.call') as call:
self.service.new_document(content)
parties = call.call_args[0][1]
authors = parties.authors.author
self.assertEqual(2, len(authors))
self.assertEqual('Tina', authors[0].firstName)
self.assertEqual('Groll', authors[0].surName)
def test_freetext_authors_should_not_break_with_no_space(self):
content = self.get_content(
[], freetext=(('Merlin',)))
with mock.patch('zeit.vgwort.connection.MessageService.call') as call:
self.service.new_document(content)
parties = call.call_args[0][1]
authors = parties.authors.author
self.assertEqual(1, len(authors)) # one product
def test_freetext_authors_should_be_whitespace_normalized(self):
content = self.get_content(
[], freetext=(
(' Paul Auster ', ' Hans Christian Andersen ')))
with mock.patch('zeit.vgwort.connection.MessageService.call') as call:
self.service.new_document(content)
parties = call.call_args[0][1]
authors = parties.authors.author
self.assertEqual(3, len(authors)) # two author, one product
self.assertEqual('Paul', authors[0].firstName)
self.assertEqual('Auster', authors[0].surName)
self.assertEqual('Hans Christian', authors[1].firstName)
self.assertEqual('Andersen', authors[1].surName)
class CodeFixer(unittest.TestCase):
def test_dont_raise_when_not_applicable(self):
context = mock.Mock()
context.envelope = suds.sax.parser.Parser().parse(
string='<Body><foo></foo></Body>')
zeit.vgwort.connection.CodeFixer().marshalled(context)
|
py | 1a4a97e4c823e79c34838d74ce9d7d7cedf2bfca | from flask import Flask, render_template
app = Flask(__name__, static_url_path='/static', template_folder='template')
@app.route("/")
def index():
return render_template("index.html")
@app.route("/about")
def about():
return render_template("about.html")
@app.route("/projects/<int:id>")
def cv(id):
id = int(id)
if id == 1:
return render_template("project1.html")
if id == 2:
return render_template("project2.html")
if id == 3:
return render_template("project3.html")
if id == 4:
return render_template("project4.html")
#if id == 5:
# return render_template("project5.html")
#if id == 6:
# return render_template("project6.html")
if __name__ == "__main__":
app.run(debug=True)
|
py | 1a4a986c41531ef7495ed076d967aada91d56e68 | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
import sys
import logging
import signal
import uuid
import json
import datetime
from threading import Thread, current_thread
import mesos.interface
from mesos.interface import mesos_pb2
import mesos.native
logging.basicConfig(level=logging.DEBUG)
def run_driver(*args, **kwargs):
"""
Starts mesos driver in separate thread.
Stops driver in case when SIGINT is received at the main thread.
"""
driver = mesos.native.MesosSchedulerDriver(*args, **kwargs)
def run_driver_async():
status = 0 if driver.run() == mesos_pb2.DRIVER_STOPPED else 1
driver.stop()
sys.exit(status)
framework_thread = Thread(target=run_driver_async)
framework_thread.daemon = True
framework_thread.start()
if current_thread().name == "MainThread":
signal.signal(signal.SIGINT, lambda signal, frame: driver.stop())
class FailureScheduler(mesos.interface.Scheduler):
"""
Starts executor for each failure config.
Passes needed config for running failure using task.data.
"""
def __init__(self, executor, logger, task_retry):
self.executor = executor
self.services_statuses = {}
self.logger = logger
self.task_retry = task_retry
def make_task_prototype(self, offer, cpus, mem, service_name):
"""
Creates task with needed resources
"""
task = mesos_pb2.TaskInfo()
task_id = uuid.uuid4().hex
task.task_id.value = task_id
task.slave_id.value = offer.slave_id.value
task.name = "pisaura-failure-runner-{}".format(service_name.replace(" ", "-"))
cpus_r = task.resources.add()
cpus_r.name = "cpus"
cpus_r.type = mesos_pb2.Value.SCALAR
cpus_r.scalar.value = cpus
mem_r = task.resources.add()
mem_r.name = "mem"
mem_r.type = mesos_pb2.Value.SCALAR
mem_r.scalar.value = mem
return task
def add_service(self, service):
self.services_statuses[service['service']] = {
'service': service,
'status': mesos_pb2.TASK_STAGING,
'tasks': [],
'logs': [],
'updated': str(datetime.datetime.utcnow()),
'created': str(datetime.datetime.utcnow())
}
def make_task(self, offer, service):
task = self.make_task_prototype(
offer, service['cpus'], service['mem'], service['service'])
task.data = json.dumps(service)
task.executor.MergeFrom(self.executor)
if service['service'] in self.services_statuses:
self.services_statuses[service['service']]['status'] = None
self.services_statuses[service['service']]['tasks'].append(task.task_id.value)
else:
self.services_statuses[service['service']] = {
'service': service,
'status': None,
'tasks': [task.task_id.value]
}
return task
def registered(self, driver, frameworkId, masterInfo):
self.logger.info("Registered with framework ID %s" % frameworkId.value)
def log_offer_stat(self, offer):
offerCpus = 0
offerMem = 0
for resource in offer.resources:
if resource.name == "cpus":
offerCpus += resource.scalar.value
elif resource.name == "mem":
offerMem += resource.scalar.value
self.logger.debug(
"Received offer %s with cpus: %s and mem: %s", offer.id.value,
offerCpus, offerMem)
def get_next_service(self):
retry_statuses = [mesos_pb2.TASK_ERROR, mesos_pb2.TASK_FAILED, mesos_pb2.TASK_STAGING]
for service_name in self.services_statuses:
self.logger.debug("Trying to commit %s as next service", service_name)
tasks_count = len(self.services_statuses[service_name]['tasks'])
status = self.services_statuses[service_name]['status']
if status not in retry_statuses:
continue
if status is None and tasks_count:
continue
if tasks_count < self.task_retry:
return self.services_statuses[service_name]['service']
else:
self.logger.debug(
"retry count exceeded for service %s", service_name)
def resourceOffers(self, driver, offers):
for offer in offers:
self.log_offer_stat(offer)
service = self.get_next_service()
self.logger.debug("Next service is %s", service)
if not service:
driver.declineOffer(offer.id)
return
task = self.make_task(offer, service)
self.logger.info("Launching task {task} "
"using offer {offer}.".format(task=task.task_id.value,
offer=offer.id.value))
tasks = [task]
driver.launchTasks(offer.id, tasks)
def statusUpdate(self, driver, update):
self.logger.debug(
"Task %s is in state %s, message: %s" % (
update.task_id.value, mesos_pb2.TaskState.Name(update.state), update.message))
for service_name in self.services_statuses:
if update.task_id.value in self.services_statuses[service_name]['tasks']:
self.logger.info(
"Move service %s to the state %s",
service_name, mesos_pb2.TaskState.Name(update.state))
self.services_statuses[service_name]['status'] = update.state
self.services_statuses[service_name]['logs'] = json.loads(update.data or "[]")
self.services_statuses[service_name]['updated'] = str(datetime.datetime.utcnow())
def frameworkMessage(self, driver, executor_id, slave_id, message):
self.logger.info("Received framework message %s", message)
def init_executor(app_config):
"""
Creates mesos executor using given config dict.
"""
uris = app_config['resources']
executor = mesos_pb2.ExecutorInfo()
executor.executor_id.value = "%s-executor" % app_config['framework_name']
executor.command.value = app_config['executor_command']
for uri in uris:
uri_proto = executor.command.uris.add()
uri_proto.value = uri
uri_proto.extract = False if not uri.endswith(".tar.gz") else True
executor.name = app_config['framework_name'].capitalize()
return executor
def run(application_config):
"""
Main function for setup and run FailureScheduler.
"""
executor = init_executor(application_config)
framework = mesos_pb2.FrameworkInfo()
framework.user = "" # Have Mesos fill in the current user.
framework.name = application_config['framework_name']
logger = logging.getLogger("pisaura.scheduler")
scheduler = FailureScheduler(
executor, logger, application_config['task_retry'])
run_driver(scheduler, framework, application_config['master'])
return scheduler
|
py | 1a4a98d860f3b2946a6b81fdd5392537b46ed4c9 | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright: (c) 2017, F5 Networks Inc.
# GNU General Public License v3.0 (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['stableinterface'],
'supported_by': 'certified'}
DOCUMENTATION = r'''
---
module: bigip_device_sshd
short_description: Manage the SSHD settings of a BIG-IP
description:
- Manage the SSHD settings of a BIG-IP.
version_added: 2.2
options:
allow:
description:
- Specifies, if you have enabled SSH access, the IP address or address
range for other systems that can use SSH to communicate with this
system.
- To specify all addresses, use the value C(all).
- IP address can be specified, such as 172.27.1.10.
- IP rangees can be specified, such as 172.27.*.* or 172.27.0.0/255.255.0.0.
- To remove SSH access specify an empty list or an empty string.
type: list
banner:
description:
- Whether to enable the banner or not.
type: str
choices:
- enabled
- disabled
banner_text:
description:
- Specifies the text to include on the pre-login banner that displays
when a user attempts to login to the system using SSH.
type: str
inactivity_timeout:
description:
- Specifies the number of seconds before inactivity causes an SSH
session to log out.
type: int
log_level:
description:
- Specifies the minimum SSHD message level to include in the system log.
type: str
choices:
- debug
- debug1
- debug2
- debug3
- error
- fatal
- info
- quiet
- verbose
login:
description:
- Specifies, when checked C(enabled), that the system accepts SSH
communications.
type: str
choices:
- enabled
- disabled
port:
description:
- Port that you want the SSH daemon to run on.
type: int
notes:
- Requires BIG-IP version 12.0.0 or greater
extends_documentation_fragment: f5
author:
- Tim Rupp (@caphrim007)
- Wojciech Wypior (@wojtek0806)
'''
EXAMPLES = r'''
- name: Set the banner for the SSHD service from a string
bigip_device_sshd:
banner: enabled
banner_text: banner text goes here
provider:
password: secret
server: lb.mydomain.com
user: admin
delegate_to: localhost
- name: Set the banner for the SSHD service from a file
bigip_device_sshd:
banner: enabled
banner_text: "{{ lookup('file', '/path/to/file') }}"
provider:
password: secret
server: lb.mydomain.com
user: admin
delegate_to: localhost
- name: Set the SSHD service to run on port 2222
bigip_device_sshd:
port: 2222
provider:
user: admin
password: secret
server: lb.mydomain.com
delegate_to: localhost
'''
RETURN = r'''
allow:
description:
- Specifies, if you have enabled SSH access, the IP address or address
range for other systems that can use SSH to communicate with this
system.
returned: changed
type: list
sample: 192.0.2.*
banner:
description: Whether the banner is enabled or not.
returned: changed
type: str
sample: true
banner_text:
description:
- Specifies the text included on the pre-login banner that
displays when a user attempts to login to the system using SSH.
returned: changed and success
type: str
sample: This is a corporate device. Connecting to it without...
inactivity_timeout:
description:
- The number of seconds before inactivity causes an SSH
session to log out.
returned: changed
type: int
sample: 10
log_level:
description: The minimum SSHD message level to include in the system log.
returned: changed
type: str
sample: debug
login:
description: Specifies that the system accepts SSH communications or not.
returned: changed
type: bool
sample: true
port:
description: Port that you want the SSH daemon to run on.
returned: changed
type: int
sample: 22
'''
from ansible.module_utils.basic import AnsibleModule
try:
from library.module_utils.network.f5.bigip import F5RestClient
from library.module_utils.network.f5.common import F5ModuleError
from library.module_utils.network.f5.common import AnsibleF5Parameters
from library.module_utils.network.f5.common import fq_name
from library.module_utils.network.f5.common import f5_argument_spec
from library.module_utils.network.f5.common import is_empty_list
except ImportError:
from ansible.module_utils.network.f5.bigip import F5RestClient
from ansible.module_utils.network.f5.common import F5ModuleError
from ansible.module_utils.network.f5.common import AnsibleF5Parameters
from ansible.module_utils.network.f5.common import fq_name
from ansible.module_utils.network.f5.common import f5_argument_spec
from ansible.module_utils.network.f5.common import is_empty_list
class Parameters(AnsibleF5Parameters):
api_map = {
'bannerText': 'banner_text',
'inactivityTimeout': 'inactivity_timeout',
'logLevel': 'log_level',
}
api_attributes = [
'allow', 'banner', 'bannerText', 'inactivityTimeout',
'logLevel', 'login', 'port',
]
updatables = [
'allow', 'banner', 'banner_text', 'inactivity_timeout',
'log_level', 'login', 'port',
]
returnables = [
'allow', 'banner', 'banner_text', 'inactivity_timeout',
'log_level', 'login', 'port',
]
class ApiParameters(Parameters):
pass
class ModuleParameters(Parameters):
@property
def inactivity_timeout(self):
if self._values['inactivity_timeout'] is None:
return None
return int(self._values['inactivity_timeout'])
@property
def port(self):
if self._values['port'] is None:
return None
return int(self._values['port'])
@property
def allow(self):
allow = self._values['allow']
if allow is None:
return None
if is_empty_list(allow):
return []
return allow
class Changes(Parameters):
def to_return(self):
result = {}
try:
for returnable in self.returnables:
change = getattr(self, returnable)
if isinstance(change, dict):
result.update(change)
else:
result[returnable] = change
result = self._filter_params(result)
except Exception:
pass
return result
class UsableChanges(Changes):
pass
class ReportableChanges(Changes):
pass
class Difference(object):
def __init__(self, want, have=None):
self.want = want
self.have = have
def compare(self, param):
try:
result = getattr(self, param)
return result
except AttributeError:
return self.__default(param)
def __default(self, param):
attr1 = getattr(self.want, param)
try:
attr2 = getattr(self.have, param)
if attr1 != attr2:
return attr1
except AttributeError:
return attr1
@property
def allow(self):
if self.want.allow is None:
return None
if not self.want.allow:
if self.have.allow is None:
return None
if self.have.allow is not None:
return self.want.allow
if self.have.allow is None:
return self.want.allow
if set(self.want.allow) != set(self.have.allow):
return self.want.allow
@property
def banner_text(self):
if self.want.banner_text is None:
return None
if self.want.banner_text == '' and self.have.banner_text is None:
return None
if self.want.banner_text != self.have.banner_text:
return self.want.banner_text
class ModuleManager(object):
def __init__(self, *args, **kwargs):
self.module = kwargs.get('module', None)
self.client = F5RestClient(**self.module.params)
self.want = ModuleParameters(params=self.module.params)
self.have = ApiParameters()
self.changes = UsableChanges()
def _update_changed_options(self):
diff = Difference(self.want, self.have)
updatables = Parameters.updatables
changed = dict()
for k in updatables:
change = diff.compare(k)
if change is None:
continue
else:
if isinstance(change, dict):
changed.update(change)
else:
changed[k] = change
if changed:
self.changes = UsableChanges(params=changed)
return True
return False
def _announce_deprecations(self, result):
warnings = result.pop('__warnings', [])
for warning in warnings:
self.client.module.deprecate(
msg=warning['msg'],
version=warning['version']
)
def exec_module(self):
result = dict()
changed = self.present()
reportable = ReportableChanges(params=self.changes.to_return())
changes = reportable.to_return()
result.update(**changes)
result.update(dict(changed=changed))
self._announce_deprecations(result)
return result
def present(self):
return self.update()
def update(self):
self.have = self.read_current_from_device()
if not self.should_update():
return False
if self.module.check_mode:
return True
self.update_on_device()
return True
def should_update(self):
result = self._update_changed_options()
if result:
return True
return False
def update_on_device(self):
params = self.changes.api_params()
uri = "https://{0}:{1}/mgmt/tm/sys/sshd/".format(
self.client.provider['server'],
self.client.provider['server_port'],
)
resp = self.client.api.patch(uri, json=params)
try:
response = resp.json()
except ValueError as ex:
raise F5ModuleError(str(ex))
if 'code' in response and response['code'] == 400:
if 'message' in response:
raise F5ModuleError(response['message'])
else:
raise F5ModuleError(resp.content)
def read_current_from_device(self):
uri = "https://{0}:{1}/mgmt/tm/sys/sshd/".format(
self.client.provider['server'],
self.client.provider['server_port'],
)
resp = self.client.api.get(uri)
try:
response = resp.json()
except ValueError as ex:
raise F5ModuleError(str(ex))
if 'code' in response and response['code'] == 400:
if 'message' in response:
raise F5ModuleError(response['message'])
else:
raise F5ModuleError(resp.content)
return ApiParameters(params=response)
class ArgumentSpec(object):
def __init__(self):
self.choices = ['enabled', 'disabled']
self.levels = [
'debug', 'debug1', 'debug2', 'debug3', 'error', 'fatal', 'info',
'quiet', 'verbose'
]
self.supports_check_mode = True
argument_spec = dict(
allow=dict(
type='list'
),
banner=dict(
choices=self.choices
),
banner_text=dict(),
inactivity_timeout=dict(
type='int'
),
log_level=dict(
choices=self.levels
),
login=dict(
choices=self.choices
),
port=dict(
type='int'
)
)
self.argument_spec = {}
self.argument_spec.update(f5_argument_spec)
self.argument_spec.update(argument_spec)
def main():
spec = ArgumentSpec()
module = AnsibleModule(
argument_spec=spec.argument_spec,
supports_check_mode=spec.supports_check_mode
)
try:
mm = ModuleManager(module=module)
results = mm.exec_module()
module.exit_json(**results)
except F5ModuleError as ex:
module.fail_json(msg=str(ex))
if __name__ == '__main__':
main()
|
py | 1a4a99ff3831aca881da4b4bcb65d192d2a3f9b5 | # Copyright 2020 MONAI Consortium
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
import os
import sys
import tempfile
from glob import glob
import nibabel as nib
import numpy as np
import torch
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
import monai
from monai.data import ImageDataset, create_test_image_3d, decollate_batch
from monai.inferers import sliding_window_inference
from monai.metrics import DiceMetric
from monai.transforms import Activations, AddChannel, AsDiscrete, Compose, RandRotate90, RandSpatialCrop, ScaleIntensity, EnsureType
from monai.visualize import plot_2d_or_3d_image
def main(tempdir):
monai.config.print_config()
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
# create a temporary directory and 40 random image, mask pairs
print(f"generating synthetic data to {tempdir} (this may take a while)")
for i in range(40):
im, seg = create_test_image_3d(128, 128, 128, num_seg_classes=1)
n = nib.Nifti1Image(im, np.eye(4))
nib.save(n, os.path.join(tempdir, f"im{i:d}.nii.gz"))
n = nib.Nifti1Image(seg, np.eye(4))
nib.save(n, os.path.join(tempdir, f"seg{i:d}.nii.gz"))
images = sorted(glob(os.path.join(tempdir, "im*.nii.gz")))
segs = sorted(glob(os.path.join(tempdir, "seg*.nii.gz")))
# define transforms for image and segmentation
train_imtrans = Compose(
[
ScaleIntensity(),
AddChannel(),
RandSpatialCrop((96, 96, 96), random_size=False),
RandRotate90(prob=0.5, spatial_axes=(0, 2)),
EnsureType(),
]
)
train_segtrans = Compose(
[
AddChannel(),
RandSpatialCrop((96, 96, 96), random_size=False),
RandRotate90(prob=0.5, spatial_axes=(0, 2)),
EnsureType(),
]
)
val_imtrans = Compose([ScaleIntensity(), AddChannel(), EnsureType()])
val_segtrans = Compose([AddChannel(), EnsureType()])
# define image dataset, data loader
check_ds = ImageDataset(images, segs, transform=train_imtrans, seg_transform=train_segtrans)
check_loader = DataLoader(check_ds, batch_size=10, num_workers=2, pin_memory=torch.cuda.is_available())
im, seg = monai.utils.misc.first(check_loader)
print(im.shape, seg.shape)
# create a training data loader
train_ds = ImageDataset(images[:20], segs[:20], transform=train_imtrans, seg_transform=train_segtrans)
train_loader = DataLoader(train_ds, batch_size=4, shuffle=True, num_workers=8, pin_memory=torch.cuda.is_available())
# create a validation data loader
val_ds = ImageDataset(images[-20:], segs[-20:], transform=val_imtrans, seg_transform=val_segtrans)
val_loader = DataLoader(val_ds, batch_size=1, num_workers=4, pin_memory=torch.cuda.is_available())
dice_metric = DiceMetric(include_background=True, reduction="mean", get_not_nans=False)
post_trans = Compose([EnsureType(), Activations(sigmoid=True), AsDiscrete(threshold=0.5)])
# create UNet, DiceLoss and Adam optimizer
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model = monai.networks.nets.UNet(
spatial_dims=3,
in_channels=1,
out_channels=1,
channels=(16, 32, 64, 128, 256),
strides=(2, 2, 2, 2),
num_res_units=2,
).to(device)
loss_function = monai.losses.DiceLoss(sigmoid=True)
optimizer = torch.optim.Adam(model.parameters(), 1e-3)
# start a typical PyTorch training
val_interval = 2
best_metric = -1
best_metric_epoch = -1
epoch_loss_values = list()
metric_values = list()
writer = SummaryWriter()
for epoch in range(5):
print("-" * 10)
print(f"epoch {epoch + 1}/{5}")
model.train()
epoch_loss = 0
step = 0
for batch_data in train_loader:
step += 1
inputs, labels = batch_data[0].to(device), batch_data[1].to(device)
optimizer.zero_grad()
outputs = model(inputs)
loss = loss_function(outputs, labels)
loss.backward()
optimizer.step()
epoch_loss += loss.item()
epoch_len = len(train_ds) // train_loader.batch_size
print(f"{step}/{epoch_len}, train_loss: {loss.item():.4f}")
writer.add_scalar("train_loss", loss.item(), epoch_len * epoch + step)
epoch_loss /= step
epoch_loss_values.append(epoch_loss)
print(f"epoch {epoch + 1} average loss: {epoch_loss:.4f}")
if (epoch + 1) % val_interval == 0:
model.eval()
with torch.no_grad():
val_images = None
val_labels = None
val_outputs = None
for val_data in val_loader:
val_images, val_labels = val_data[0].to(device), val_data[1].to(device)
roi_size = (96, 96, 96)
sw_batch_size = 4
val_outputs = sliding_window_inference(val_images, roi_size, sw_batch_size, model)
val_outputs = [post_trans(i) for i in decollate_batch(val_outputs)]
# compute metric for current iteration
dice_metric(y_pred=val_outputs, y=val_labels)
# aggregate the final mean dice result
metric = dice_metric.aggregate().item()
# reset the status for next validation round
dice_metric.reset()
metric_values.append(metric)
if metric > best_metric:
best_metric = metric
best_metric_epoch = epoch + 1
torch.save(model.state_dict(), "best_metric_model_segmentation3d_array.pth")
print("saved new best metric model")
print(
"current epoch: {} current mean dice: {:.4f} best mean dice: {:.4f} at epoch {}".format(
epoch + 1, metric, best_metric, best_metric_epoch
)
)
writer.add_scalar("val_mean_dice", metric, epoch + 1)
# plot the last model output as GIF image in TensorBoard with the corresponding image and label
plot_2d_or_3d_image(val_images, epoch + 1, writer, index=0, tag="image")
plot_2d_or_3d_image(val_labels, epoch + 1, writer, index=0, tag="label")
plot_2d_or_3d_image(val_outputs, epoch + 1, writer, index=0, tag="output")
print(f"train completed, best_metric: {best_metric:.4f} at epoch: {best_metric_epoch}")
writer.close()
if __name__ == "__main__":
with tempfile.TemporaryDirectory() as tempdir:
main(tempdir)
|
py | 1a4a9afd5e10e293517905baa798ac1e958b8764 | # Copyright 2020 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from functools import partial
import re
import textwrap
from typing import (
Any, Callable, NamedTuple, Optional, Dict, Sequence, Set, Type, TypeVar
)
import warnings
from jax._src.config import config
from jax._src import dtypes
from jax._src.lax import lax as lax_internal
from jax._src.numpy.ndarray import ndarray
from jax._src.util import safe_zip
from jax._src import api
from jax import core
from jax._src.lax import lax
import numpy as np
_T = TypeVar("_T")
_parameter_break = re.compile("\n(?=[A-Za-z_])")
_section_break = re.compile(r"\n(?=[^\n]{3,15}\n-{3,15})", re.MULTILINE)
_numpy_signature_re = re.compile(r'^([\w., ]+=)?\s*[\w\.]+\([\w\W]*?\)$', re.MULTILINE)
_versionadded = re.compile(r'^\s+\.\.\s+versionadded::', re.MULTILINE)
_docreference = re.compile(r':doc:`(.*?)\s*<.*?>`')
class ParsedDoc(NamedTuple):
"""
docstr: full docstring
signature: signature from docstring.
summary: summary from docstring.
front_matter: front matter before sections.
sections: dictionary of section titles to section content.
"""
docstr: Optional[str]
signature: str = ""
summary: str = ""
front_matter: str = ""
sections: Dict[str, str] = {}
def _parse_numpydoc(docstr: Optional[str]) -> ParsedDoc:
"""Parse a standard numpy-style docstring.
Args:
docstr: the raw docstring from a function
Returns:
ParsedDoc: parsed version of the docstring
"""
if docstr is None or not docstr.strip():
return ParsedDoc(docstr)
# Remove any :doc: directives in the docstring to avoid sphinx errors
docstr = _docreference.sub(
lambda match: f"{match.groups()[0]}", docstr)
signature, body = "", docstr
match = _numpy_signature_re.match(body)
if match:
signature = match.group()
body = docstr[match.end():]
firstline, _, body = body.partition('\n')
body = textwrap.dedent(body.lstrip('\n'))
match = _numpy_signature_re.match(body)
if match:
signature = match.group()
body = body[match.end():]
summary = firstline
if not summary:
summary, _, body = body.lstrip('\n').partition('\n')
body = textwrap.dedent(body.lstrip('\n'))
front_matter = ""
body = "\n" + body
section_list = _section_break.split(body)
if not _section_break.match(section_list[0]):
front_matter, *section_list = section_list
sections = {section.split('\n', 1)[0]: section for section in section_list}
return ParsedDoc(docstr=docstr, signature=signature, summary=summary,
front_matter=front_matter, sections=sections)
def _parse_parameters(body: str) -> Dict[str, str]:
"""Parse the Parameters section of a docstring."""
title, underline, content = body.split('\n', 2)
assert title == 'Parameters'
assert underline and not underline.strip('-')
parameters = _parameter_break.split(content)
return {p.partition(' : ')[0].partition(', ')[0]: p for p in parameters}
def _parse_extra_params(extra_params: str) -> Dict[str, str]:
"""Parse the extra parameters passed to _wraps()"""
parameters = _parameter_break.split(extra_params.strip('\n'))
return {p.partition(' : ')[0].partition(', ')[0]: p for p in parameters}
def _wraps(
fun: Optional[Callable[..., Any]],
update_doc: bool = True,
lax_description: str = "",
sections: Sequence[str] = ('Parameters', 'Returns', 'References'),
skip_params: Sequence[str] = (),
extra_params: Optional[str] = None,
) -> Callable[[_T], _T]:
"""Specialized version of functools.wraps for wrapping numpy functions.
This produces a wrapped function with a modified docstring. In particular, if
`update_doc` is True, parameters listed in the wrapped function that are not
supported by the decorated function will be removed from the docstring. For
this reason, it is important that parameter names match those in the original
numpy function.
Args:
fun: The function being wrapped
update_doc: whether to transform the numpy docstring to remove references of
parameters that are supported by the numpy version but not the JAX version.
If False, include the numpy docstring verbatim.
lax_description: a string description that will be added to the beginning of
the docstring.
sections: a list of sections to include in the docstring. The default is
["Parameters", "returns", "References"]
skip_params: a list of strings containing names of parameters accepted by the
function that should be skipped in the parameter list.
extra_params: an optional string containing additional parameter descriptions.
When ``update_doc=True``, these will be added to the list of parameter
descriptions in the updated doc.
"""
def wrap(op):
docstr = getattr(fun, "__doc__", None)
try:
name = f"{fun.__module__}.{fun.__name__}"
except AttributeError:
name = getattr(fun, "__name__", getattr(op, "__name__", str(op)))
if docstr:
try:
parsed = _parse_numpydoc(docstr)
if update_doc and 'Parameters' in parsed.sections:
code = getattr(getattr(op, "__wrapped__", op), "__code__", None)
# Remove unrecognized parameter descriptions.
parameters = _parse_parameters(parsed.sections['Parameters'])
if extra_params:
parameters.update(_parse_extra_params(extra_params))
parsed.sections['Parameters'] = (
"Parameters\n"
"----------\n" +
"\n".join(_versionadded.split(desc)[0].rstrip() for p, desc in parameters.items()
if (code is None or p in code.co_varnames) and p not in skip_params)
)
docstr = parsed.summary.strip() + "\n" if parsed.summary else ""
docstr += f"\nLAX-backend implementation of :func:`{name}`.\n"
if lax_description:
docstr += "\n" + lax_description.strip() + "\n"
docstr += "\n*Original docstring below.*\n"
# We remove signatures from the docstrings, because they redundant at best and
# misleading at worst: e.g. JAX wrappers don't implement all ufunc keyword arguments.
# if parsed.signature:
# docstr += "\n" + parsed.signature.strip() + "\n"
if parsed.front_matter:
docstr += "\n" + parsed.front_matter.strip() + "\n"
kept_sections = (content.strip() for section, content in parsed.sections.items()
if section in sections)
if kept_sections:
docstr += "\n" + "\n\n".join(kept_sections) + "\n"
except:
if config.jax_enable_checks:
raise
docstr = fun.__doc__
op.__doc__ = docstr
op.__np_wrapped__ = fun
for attr in ['__name__', '__qualname__']:
try:
value = getattr(fun, attr)
except AttributeError:
pass
else:
setattr(op, attr, value)
return op
return wrap
_dtype = partial(dtypes.dtype, canonicalize=True)
def _asarray(arr):
"""
Pared-down utility to convert object to a DeviceArray.
Note this will not correctly handle lists or tuples.
"""
_check_arraylike("_asarray", arr)
dtype, weak_type = dtypes._lattice_result_type(arr)
return lax_internal._convert_element_type(arr, dtype, weak_type)
def _promote_shapes(fun_name, *args):
"""Apply NumPy-style broadcasting, making args shape-compatible for lax.py."""
if len(args) < 2:
return args
else:
shapes = [np.shape(arg) for arg in args]
if all(len(shapes[0]) == len(s) for s in shapes[1:]):
return args # no need for rank promotion, so rely on lax promotion
nonscalar_ranks = {len(shp) for shp in shapes if shp}
if len(nonscalar_ranks) < 2:
return args
else:
if config.jax_numpy_rank_promotion != "allow":
_rank_promotion_warning_or_error(fun_name, shapes)
if config.jax_dynamic_shapes:
# With dynamic shapes we don't support singleton-dimension broadcasting;
# we instead broadcast out to the full shape as a temporary workaround.
res_shape = lax.broadcast_shapes(*shapes)
return [_broadcast_to(arg, res_shape) for arg, shp in zip(args, shapes)]
else:
result_rank = len(lax.broadcast_shapes(*shapes))
return [_broadcast_to(arg, (1,) * (result_rank - len(shp)) + shp)
for arg, shp in zip(args, shapes)]
def _rank_promotion_warning_or_error(fun_name, shapes):
if config.jax_numpy_rank_promotion == "warn":
msg = ("Following NumPy automatic rank promotion for {} on shapes {}. "
"Set the jax_numpy_rank_promotion config option to 'allow' to "
"disable this warning; for more information, see "
"https://jax.readthedocs.io/en/latest/rank_promotion_warning.html.")
warnings.warn(msg.format(fun_name, ' '.join(map(str, shapes))))
elif config.jax_numpy_rank_promotion == "raise":
msg = ("Operands could not be broadcast together for {} on shapes {} "
"and with the config option jax_numpy_rank_promotion='raise'. "
"For more information, see "
"https://jax.readthedocs.io/en/latest/rank_promotion_warning.html.")
raise ValueError(msg.format(fun_name, ' '.join(map(str, shapes))))
def _promote_dtypes(*args):
"""Convenience function to apply Numpy argument dtype promotion."""
# TODO(dougalm,mattjj): This is a performance bottleneck. Consider memoizing.
if len(args) < 2:
return args
else:
to_dtype, weak_type = dtypes._lattice_result_type(*args)
to_dtype = dtypes.canonicalize_dtype(to_dtype)
return [lax_internal._convert_element_type(x, to_dtype, weak_type) for x in args]
def _promote_dtypes_inexact(*args):
"""Convenience function to apply Numpy argument dtype promotion.
Promotes arguments to an inexact type."""
to_dtype, weak_type = dtypes._lattice_result_type(*args)
to_dtype = dtypes.canonicalize_dtype(to_dtype)
to_dtype_inexact = _to_inexact_dtype(to_dtype)
weak_type = (weak_type and to_dtype == to_dtype_inexact)
return [lax_internal._convert_element_type(x, to_dtype_inexact, weak_type)
for x in args]
def _to_inexact_dtype(dtype):
"""Promotes a dtype into an inexact dtype, if it is not already one."""
return dtype if dtypes.issubdtype(dtype, np.inexact) else dtypes.promote_types(dtype, dtypes.float_)
def _complex_elem_type(dtype):
"""Returns the float type of the real/imaginary parts of a complex dtype."""
return np.abs(np.zeros((), dtype)).dtype
def _arraylike(x):
return (isinstance(x, np.ndarray) or isinstance(x, ndarray) or
hasattr(x, '__jax_array__') or np.isscalar(x))
def _stackable(*args):
return all(type(arg) in stackables for arg in args)
stackables: Set[Type] = set()
_register_stackable: Callable[[Type], None] = stackables.add
def _check_arraylike(fun_name, *args):
"""Check if all args fit JAX's definition of arraylike."""
assert isinstance(fun_name, str), f"fun_name must be a string. Got {fun_name}"
if any(not _arraylike(arg) for arg in args):
pos, arg = next((i, arg) for i, arg in enumerate(args)
if not _arraylike(arg))
msg = "{} requires ndarray or scalar arguments, got {} at position {}."
raise TypeError(msg.format(fun_name, type(arg), pos))
def _check_no_float0s(fun_name, *args):
"""Check if none of the args have dtype float0."""
if any(dtypes.dtype(arg) is dtypes.float0 for arg in args):
raise TypeError(
f"Called {fun_name} with a float0 array. "
"float0s do not support any operations by design because they "
"are not compatible with non-trivial vector spaces. No implicit dtype "
"conversion is done. You can use np.zeros_like(arr, dtype=np.float) "
"to cast a float0 array to a regular zeros array. \n"
"If you didn't expect to get a float0 you might have accidentally "
"taken a gradient with respect to an integer argument.")
def _promote_args(fun_name, *args):
"""Convenience function to apply Numpy argument shape and dtype promotion."""
_check_arraylike(fun_name, *args)
_check_no_float0s(fun_name, *args)
return _promote_shapes(fun_name, *_promote_dtypes(*args))
def _promote_args_inexact(fun_name, *args):
"""Convenience function to apply Numpy argument shape and dtype promotion.
Promotes non-inexact types to an inexact type."""
_check_arraylike(fun_name, *args)
_check_no_float0s(fun_name, *args)
return _promote_shapes(fun_name, *_promote_dtypes_inexact(*args))
@partial(api.jit, inline=True)
def _broadcast_arrays(*args):
"""Like Numpy's broadcast_arrays but doesn't return views."""
shapes = [np.shape(arg) for arg in args]
if not shapes or all(core.symbolic_equal_shape(shapes[0], s) for s in shapes):
# TODO(mattjj): remove the array(arg) here
return [arg if isinstance(arg, ndarray) or np.isscalar(arg) else _asarray(arg)
for arg in args]
result_shape = lax.broadcast_shapes(*shapes)
return [_broadcast_to(arg, result_shape) for arg in args]
def _broadcast_to(arr, shape):
if hasattr(arr, "broadcast_to"):
return arr.broadcast_to(shape)
_check_arraylike("broadcast_to", arr)
arr = arr if isinstance(arr, ndarray) else _asarray(arr)
if not isinstance(shape, tuple) and np.ndim(shape) == 0:
shape = (shape,)
shape = core.canonicalize_shape(shape) # check that shape is concrete
arr_shape = np.shape(arr)
if core.symbolic_equal_shape(arr_shape, shape):
return arr
else:
nlead = len(shape) - len(arr_shape)
shape_tail = shape[nlead:]
compatible = all(core.symbolic_equal_one_of_dim(arr_d, [1, shape_d])
for arr_d, shape_d in safe_zip(arr_shape, shape_tail))
if nlead < 0 or not compatible:
msg = "Incompatible shapes for broadcasting: {} and requested shape {}"
raise ValueError(msg.format(arr_shape, shape))
diff, = np.where(tuple(not core.symbolic_equal_dim(arr_d, shape_d)
for arr_d, shape_d in safe_zip(arr_shape, shape_tail)))
new_dims = tuple(range(nlead)) + tuple(nlead + diff)
kept_dims = tuple(np.delete(np.arange(len(shape)), new_dims))
return lax.broadcast_in_dim(lax.squeeze(arr, tuple(diff)), shape, kept_dims)
# The `jit` on `where` exists to avoid materializing constants in cases like
# `np.where(np.zeros(1000), 7, 4)`. In op-by-op mode, we don't want to
# materialize the broadcast forms of scalar arguments.
@api.jit
def _where(condition, x=None, y=None):
if x is None or y is None:
raise ValueError("Either both or neither of the x and y arguments should "
"be provided to jax.numpy.where, got {} and {}."
.format(x, y))
if not np.issubdtype(_dtype(condition), np.bool_):
condition = lax.ne(condition, lax_internal._zero(condition))
x, y = _promote_dtypes(x, y)
condition, x, y = _broadcast_arrays(condition, x, y)
try: is_always_empty = core.is_empty_shape(np.shape(x))
except: is_always_empty = False # can fail with dynamic shapes
return lax.select(condition, x, y) if not is_always_empty else x
|
py | 1a4a9c98ad983317bf387bbb0b2b9fe81f57721c | import pickle
import os
if os.path.exists('db.pkl'):
print('yes')
else:
print('no')
# with open('db.pkl' ,'rb') as f:
# pass |
py | 1a4a9cc3001e79a6862f86f3210b9a7be5e017c5 | __author__ = 'Sergei'
from model.contact import Contact
def test_contact_new(app):
old_contact = app.contact.get_contact_list()
contacts = Contact(first_n="first", mid_n="middle",last_n="last",nick_n= "kuk",company= "adda",address= "575 oiweojdckjgsd,russia",home_ph= "12134519827",cell_ph= "120092340980",email="[email protected]")
app.contact.create_c(contacts)
assert len(old_contact)+1 == app.contact.count_first()
new_contact = app.contact.get_contact_list()
old_contact.append(contacts)
assert sorted(old_contact, key=Contact.id_or_max) == sorted(new_contact, key=Contact.id_or_max)
|
py | 1a4a9db64e1ef93a4d6cf66a0f92bfb7a5a4ad56 | # Copyright 2021, Kay Hayen, mailto:[email protected]
#
# Python tests originally created or extracted from other peoples work. The
# parts were too small to be protected.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from __future__ import print_function
a = 3
b = 7
c = [7, 8]
d = 15
print("+", a + b)
print("-", a - b)
print("*", a * b)
print("/", a / b)
print("//", a // b)
print("%", b % a)
print("& (2)", a & b)
print("| (2)", a | b)
print("& (3)", a & b & d)
print("| (3)", a | b | d)
print("^ (2)", a ^ b)
print("^ (3)", a ^ b ^ d)
print("**", a ** b)
print("<<", a << b)
print(">>", b >> a)
print("in", b in c)
print("not in", b not in c)
print("<", a < b)
print(">", a > b)
print("==", a == b)
print("<=", a <= b)
print(">=", a >= b)
print("!=", a != b)
print("is", a is b)
print("is not", a is not b)
print("~", ~b)
print("-", -b)
print("+", +b)
l = {("a", "c"): "a,c", "b": 2, "c": 3, "d": 4}
l["l",] = "6"
print("Extended slicing:")
print("Should be a,c:", l["a", "c"])
print("Short form of extended slicing:")
d = {}
# d[1] = 1
d[1,] = 2
d[1, 2] = 3
d[1, 2, 3] = 4
L = list(d)
L.sort()
print(L)
s = "Some information"
ss = s[-1]
print("Constant subscript of string", ss)
print("Slicing on a list:")
l = [1, 3, 5, 7, 11, 13, 17]
print(l[None:None])
n = None
print(l[n:n])
print(l[3:n])
print(l[n:3])
value = None
try:
x = value[1]
except Exception as e:
print("Indexing None gives", repr(e))
|
py | 1a4a9e49fc571c25cd03966f7bd478144a1df017 | """
===============================================
vidgear library source-code is deployed under the Apache 2.0 License:
Copyright (c) 2019-2020 Abhishek Thakur(@abhiTronix) <[email protected]>
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
===============================================
"""
# import the necessary packages
import os
import sys
import pytest
import platform
import logging as log
import tempfile
from vidgear.gears import VideoGear
from vidgear.gears.helper import logger_handler
# define test logger
logger = log.getLogger("Test_videogear")
logger.propagate = False
logger.addHandler(logger_handler())
logger.setLevel(log.DEBUG)
# define machine os
_windows = True if os.name == "nt" else False
def return_testvideo_path():
"""
returns Test video path
"""
path = "{}/Downloads/Test_videos/BigBuckBunny_4sec.mp4".format(
tempfile.gettempdir()
)
return os.path.abspath(path)
@pytest.mark.skipif((platform.system() != "Linux"), reason="Not Implemented")
def test_PiGear_import():
"""
Testing VideoGear Import -> assign to fail when PiGear class is imported
"""
# cleanup environment
try:
del sys.modules["picamera"]
del sys.modules["picamera.array"]
except KeyError:
pass
try:
stream = VideoGear(enablePiCamera=True, logging=True).start()
stream.stop()
except Exception as e:
if isinstance(e, ImportError):
pytest.xfail(str(e))
else:
pytest.fail(str(e))
# Video credit: http://www.liushuaicheng.org/CVPR2014/index.html
test_data = [
(
"https://raw.githubusercontent.com/abhiTronix/Imbakup/master/Images/example4_train_input.mp4",
{
"SMOOTHING_RADIUS": 5,
"BORDER_SIZE": 10,
"BORDER_TYPE": "replicate",
"CROP_N_ZOOM": True,
},
),
(
"https://raw.githubusercontent.com/abhiTronix/Imbakup/master/Images/example_empty_train_input.mp4",
{
"SMOOTHING_RADIUS": 5,
"BORDER_SIZE": 15,
"BORDER_TYPE": "reflect",
},
),
(
"https://raw.githubusercontent.com/abhiTronix/Imbakup/master/Images/example4_train_input.mp4",
{
"SMOOTHING_RADIUS": "5",
"BORDER_SIZE": "15",
"BORDER_TYPE": ["reflect"],
"CROP_N_ZOOM": "yes",
},
),
(return_testvideo_path(), {"BORDER_TYPE": "im_wrong"}),
]
@pytest.mark.parametrize("source, options", test_data)
def test_video_stablization(source, options):
"""
Testing VideoGear's Video Stablization playback capabilities
"""
try:
# open stream
stab_stream = VideoGear(
source=source, stabilize=True, logging=True, **options
).start()
framerate = stab_stream.framerate
# playback
while True:
frame = stab_stream.read() # read stablized frames
if frame is None:
break
# clean resources
stab_stream.stop()
logger.debug("Input Framerate: {}".format(framerate))
assert framerate > 0
except Exception as e:
pytest.fail(str(e))
|
py | 1a4a9f20279a2992543c1232c390271408c15cb8 | from django.apps import AppConfig
class SuburbConfig(AppConfig):
name = 'suburb'
|
py | 1a4a9f7490de4bf2b64264de12651a7a16447a2d | #Escreva um programa que leia um número inteiro e calcule a
#soma de todos os divisores desse número, com exceção dele
#próprio. Ex: a soma dos divisores do número 66 é
#1+2+3+6+11+22+33=78
divisores=[]
texto=[]
n=int(input("Informe um numero: "))
txt='1 '
i=0
texto.append(txt)
divisores.append(1)
for c in range(2,n):
if(n%c==0):
i+=1
divisores.append(c)
txt=f'+ {c} '
texto.append(txt)
print(f'A soma dos divisores eh {sum(divisores)} = {texto}') |
py | 1a4aa09fd1b01b9a3965bd75f6845894ec618c30 | import unittest
from pathlib import Path
from taskcat import Config
from taskcat.testing._unit_test import UnitTest
from taskcat.testing.base_test import BaseTest
class TestUnitTest(unittest.TestCase):
BaseTest.__abstractmethods__ = set()
@classmethod
def setUpClass(cls):
input_file = ".taskcat.yml"
project_root_path = Path(__file__).parent / "../data/nested-fail"
input_file_path = project_root_path / input_file
cls.base_config = Config.create(
project_root=project_root_path, project_config_path=input_file_path,
)
def test_methods(self):
test = UnitTest(self.base_config)
with self.assertRaises(NotImplementedError):
test.run()
with self.assertRaises(NotImplementedError):
test.clean_up()
def test_inheritance(self):
test = UnitTest(self.base_config)
self.assertIsInstance(test, BaseTest)
|
py | 1a4aa15f87280ea733fff3e4206941aefa90db1b | """
This file offers the methods to automatically retrieve the graph Eubacterium sp. AB3007.
The graph is automatically retrieved from the STRING repository.
References
---------------------
Please cite the following if you use the data:
```bib
@article{szklarczyk2019string,
title={STRING v11: protein--protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets},
author={Szklarczyk, Damian and Gable, Annika L and Lyon, David and Junge, Alexander and Wyder, Stefan and Huerta-Cepas, Jaime and Simonovic, Milan and Doncheva, Nadezhda T and Morris, John H and Bork, Peer and others},
journal={Nucleic acids research},
volume={47},
number={D1},
pages={D607--D613},
year={2019},
publisher={Oxford University Press}
}
```
"""
from typing import Dict
from ..automatic_graph_retrieval import AutomaticallyRetrievedGraph
from ...ensmallen import Graph # pylint: disable=import-error
def EubacteriumSpAb3007(
directed: bool = False,
preprocess: bool = True,
load_nodes: bool = True,
verbose: int = 2,
cache: bool = True,
cache_path: str = "graphs/string",
version: str = "links.v11.5",
**additional_graph_kwargs: Dict
) -> Graph:
"""Return new instance of the Eubacterium sp. AB3007 graph.
The graph is automatically retrieved from the STRING repository.
Parameters
-------------------
directed: bool = False
Wether to load the graph as directed or undirected.
By default false.
preprocess: bool = True
Whether to preprocess the graph to be loaded in
optimal time and memory.
load_nodes: bool = True,
Whether to load the nodes vocabulary or treat the nodes
simply as a numeric range.
verbose: int = 2,
Wether to show loading bars during the retrieval and building
of the graph.
cache: bool = True
Whether to use cache, i.e. download files only once
and preprocess them only once.
cache_path: str = "graphs"
Where to store the downloaded graphs.
version: str = "links.v11.5"
The version of the graph to retrieve.
The available versions are:
- homology.v11.0
- homology.v11.5
- physical.links.v11.0
- physical.links.v11.5
- links.v11.0
- links.v11.5
additional_graph_kwargs: Dict
Additional graph kwargs.
Returns
-----------------------
Instace of Eubacterium sp. AB3007 graph.
References
---------------------
Please cite the following if you use the data:
```bib
@article{szklarczyk2019string,
title={STRING v11: protein--protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets},
author={Szklarczyk, Damian and Gable, Annika L and Lyon, David and Junge, Alexander and Wyder, Stefan and Huerta-Cepas, Jaime and Simonovic, Milan and Doncheva, Nadezhda T and Morris, John H and Bork, Peer and others},
journal={Nucleic acids research},
volume={47},
number={D1},
pages={D607--D613},
year={2019},
publisher={Oxford University Press}
}
```
"""
return AutomaticallyRetrievedGraph(
graph_name="EubacteriumSpAb3007",
repository="string",
version=version,
directed=directed,
preprocess=preprocess,
load_nodes=load_nodes,
verbose=verbose,
cache=cache,
cache_path=cache_path,
additional_graph_kwargs=additional_graph_kwargs
)()
|
py | 1a4aa2d12cb60b63b4d4b26c4d93d2bc2a582cd5 | #! /usr/bin/env python
try:
from io import StringIO
import builtins
except ImportError: # Python 3
from io import StringIO
import builtins as __builtin__
import glob
import os
import shutil
import sys
sys.path.append(os.path.dirname(sys.path[0]))
import AUTOutil
import bifDiag
import parseB
import parseBandS
import parseC
import parseH
import parseS
SIMPLE=0
EXPERT=1
import AUTOExceptions
#############################################
# commands
#############################################
def command(f,*args,**kw):
# This is a class factory that produces a class that can be used
# to make macros of commands.
class cmd(object):
if len(args) == 2:
type = args[0]
shortName = args[1]
alias = kw.get("alias",[])
fun = staticmethod(f)
__doc__ = f.__doc__
def __init__(self,*args,**kw):
self.args = args
self.kw = kw
# The call function must return something that you
# can call the "print" function on
def __call__(self):
return self.fun(*self.args,**self.kw)
def undo(self):
raise Exception("Undo undefined for this command")
return cmd
##############################################
# Generic Commands
##############################################
def macro(command_list):
for command in command_list:
command()
commandMacro = command(macro)
# info messages: override this function or sys.stdout to redirect
def info(s):
sys.stdout.write(s)
# interact with a .exe file
def interact(command,*args):
if not os.path.exists(command):
command = command + '.exe'
fullcmd = " ".join([command]+list(args))
if os.spawnv(os.P_WAIT,command, (os.path.basename(command),) + args) != 0:
raise AUTOExceptions.AUTORuntimeError("Error running %s" % fullcmd)
info("Finished running: " + fullcmd + "\n")
##############################################
# Script based commands from $AUTO_DIR/97/cmds
##############################################
def clean():
"""Clean the current directory.
Type FUNC() to clean the current directory. This command will
delete all files of the form fort.*, *.*~, *.o, and *.exe.
"""
toclean = (glob.glob("fort.*") + glob.glob("*.o") + glob.glob("*.exe")+
glob.glob("*.*~"))
# remove duplicates
files = []
for f in toclean:
if f not in files:
files.append(f)
for f in files:
os.remove(f)
info("Deleting fort.* *.o *.exe *.*~ ... done\n")
commandClean = command(clean,alias=['cl'])
def copydemo(name):
"""Copy a demo into the current directory.
Type FUNC('xxx') to copy all files from auto/07p/demos/xxx to the
current user directory. Here 'xxx' denotes a demo name; e.g.,
'abc'. To avoid the overwriting of existing
files, always run demos in a clean work directory.
"""
demodir = os.path.join(os.environ["AUTO_DIR"],"demos",name)
for f in glob.glob(os.path.join(demodir,"*")):
if os.path.isdir(f):
subdir = f[len(demodir)+len(os.sep):]
try:
os.remove(subdir)
except OSError:
pass
try:
os.mkdir(subdir)
except OSError:
pass
for f2 in glob.glob(os.path.join(f,"*")):
try:
shutil.copy(f2, subdir)
except IOError:
pass
try:
shutil.copy(f, ".")
except IOError:
pass
if (os.path.exists(os.path.join(demodir,"c.%s.1"%name)) and
not os.path.exists(os.path.join(demodir,"c.%s"%name))):
shutil.copy("c.%s.1"%name,"c.%s"%name)
info("Copying demo %s ... done\n"%name)
commandCopyDemo = command(copydemo,SIMPLE,"demo")
def demo(name,runner=None):
"""Copy a demo into the current directory and load it.
Type FUNC('xxx') to copy all files from auto/07p/demos/xxx to the
current user directory. Here 'xxx' denotes a demo name; e.g.,
'abc'. To avoid the overwriting of existing
files, always run demos in a clean work directory. NOTE: This
command automatically performs the load command as well.
"""
runner = withrunner(runner)
lst = [commandCopyDemo(name)]
slash = name.rfind("/")
if slash != -1:
name = name[slash+1:]
lst.append(commandRunnerLoadName(name,runner))
return macro(lst)
commandCopyAndLoadDemo = command(demo,alias=['dm'])
def df():
"""Clear the current directory of fort files.
Type FUNC() to clean the current directory. This command will
delete all files of the form fort.*.
"""
toclean = glob.glob("fort.*")
for f in toclean:
os.remove(f)
info("Deleting fort.* ... done\n")
commandDeleteFortFiles = command(df,alias=['deletefort'])
def us(name,templates=None):
"""Convert user-supplied data files.
Type FUNC('xxx') to convert a user-supplied data file 'xxx.dat' to
AUTO format. The converted file is called 's.dat'. The original
file is left unchanged. AUTO automatically sets the period in
PAR(11). Other parameter values must be set in 'STPNT'. (When
necessary, PAR(11) may also be redefined there.) The
constants-file file 'c.xxx' must be present, as the AUTO-constants
'NTST' and 'NCOL' are used to define the new mesh. For examples
of using the 'userData' command see demos 'lor' and 'pen' (where
it has the old name 'fc').
Note: this technique has been obsoleted by the 'dat' AUTO constant.
"""
info("Starting conversion of %s.dat : \n"%name)
if glob.glob("%s.f90"%name) == []:
if glob.glob("%s.f"%name) == []:
equation_file="%s.c"%name
else:
equation_file="%s.f"%name
else:
equation_file="%s.f90"%name
cfile = applyTemplate(name,"constants",templates)
datfile = "%s.dat"%name
info("(Required files : %s, %s, %s)\n"%(equation_file,cfile,
datfile))
from . import runAUTO
fconrun = runAUTO.runAUTO(makefile="$AUTO_DIR/cmds/cmds.make fcon")
fconrun.config(e=name)
fconrun.runMakefile(name)
if os.path.exists(cfile):
shutil.copy(cfile,"fort.2")
if os.path.exists(datfile):
shutil.copy(datfile,"fort.3")
interact("./fcon")
sfile = applyTemplate("dat","solution",templates)
if os.path.exists("fort.8"):
if os.path.exists(sfile):
os.remove(sfile)
os.rename("fort.8",sfile)
info("Conversion done : converted file saved as %s\n"%sfile)
files = glob.glob("fcon*") + ["fort.2", "fort.3"]
for f in files:
os.remove(f)
commandUserData = command(us,alias=['userdata'])
##############################################
# Commands which use the filename templates
##############################################
def applyTemplate(text,template,templates=None):
if templates is None:
templates = {}
templates["equation"] = "EQUATION_NAME=%s"
templates["constants"] = "c.%s"
templates["bifurcationDiagram"] = "b.%s"
templates["solution"] = "s.%s"
templates["diagnostics"] = "d.%s"
templates["homcont"] = "h.%s"
if text is None:
return None
elif type(text) in [type(""), type(1), type(1.0)]:
rval = templates[template]%text
tmp = glob.glob(rval)
if len(tmp) > 0:
rval = ""
for x in tmp:
rval = rval + x + " "
rval = rval.strip()
return rval
else:
return text
def filenameTemplate(name=None,templates=None):
name1={}
name1["constants"] = applyTemplate(name,"constants",templates)
name1["bifurcationDiagram"] = applyTemplate(name,"bifurcationDiagram",templates)
name1["solution"] = applyTemplate(name,"solution",templates)
name1["diagnostics"] = applyTemplate(name,"diagnostics",templates)
return name1
def relabel(name1=None,name2=None,templates=None):
"""Relabel data files.
Type y=FUNC(x) to return the python object x, with the solution
labels sequentially relabelled starting at 1, as a new object y.
Type FUNC('xxx') to relabel s.xxx and b.xxx. Backups of the
original files are saved.
Type FUNC('xxx','yyy') to relabel the existing data-files s.xxx and b.xxx,
and save them to s.yyy and b.yyy; d.xxx is copied to d.yyy.
"""
typen = type(name1)
if type(name1) == type(""):
name1 = filenameTemplate(name1,templates)
name2 = filenameTemplate(name2,templates)
if typen != type("") and typen != type(None):
data = name1.relabel()
info("Relabeling done\n")
return data
n1b = name1["bifurcationDiagram"]
n1s = name1["solution"]
n1d = name1["diagnostics"]
if n1b is None and n1s is None and n1d is None:
n1b, n1s, n1d = "fort.7", "fort.8", "fort.9"
if name2["bifurcationDiagram"] is None:
n2b = n1b+'~~'
n2s = n1s+'~~'
n2d = n1d+'~~'
else:
n2b = name2["bifurcationDiagram"]
n2s = name2["solution"]
n2d = name2["diagnostics"]
from . import relabel
relabel.relabel(n1b,n1s,n2b,n2s)
if os.access(n2b,os.F_OK):
if name2["bifurcationDiagram"] is None:
# Save backups
if os.access(n1b+'~',os.F_OK):
os.remove(n1b+'~')
os.rename(n1b,n1b+'~')
os.rename(n2b,n1b)
if os.access(n1s+'~',os.F_OK):
os.remove(n1s+'~')
os.rename(n1s,n1s+'~')
os.rename(n2s,n1s)
elif os.path.exists(n1d):
shutil.copy(n1d, n2d)
info("Relabeling succeeded\n")
info("Relabeling done\n")
commandRelabel = command(relabel,SIMPLE,"relabel",alias=['rl'])
def merge(name1=None,name2=None,templates=None):
"""Merge branches in data files.
Type y=FUNC(x) to return the python object x, with its branches
merged into continuous curves, as a new object y.
Type FUNC('xxx') to merge branches in s.xxx, b.xxx, and d.xxx. Backups
of the original files are saved.
Type FUNC('xxx','yyy') to merge branches in the existing data-files
s.xxx, b.xxx, and d.xxx and save them to s.yyy, b.yyy, and d.yyy.
"""
ntype = type(name1)
if type(name1) == type(""):
name1 = filenameTemplate(name1,templates)
name2 = filenameTemplate(name2,templates)
if ntype != type("") and ntype != type(None):
data = name1.merge()
info("Merge done\n")
return data
n1b = name1["bifurcationDiagram"]
n1s = name1["solution"]
n1d = name1["diagnostics"]
if n1b is None and n1s is None and n1d is None:
n1b, n1s, n1d = "fort.7", "fort.8", "fort.9"
bd = bifDiag.bifDiag(n1b,n1s,n1d)
bd = bd.merge()
if name2["bifurcationDiagram"] is None:
n2b = n1b+'~~'
n2s = n1s+'~~'
n2d = n1d+'~~'
else:
n2b = name2["bifurcationDiagram"]
n2s = name2["solution"]
n2d = name2["diagnostics"]
bd.writeFilename(n2b,n2s,n2d)
if os.access(n2b,os.F_OK):
if name2["bifurcationDiagram"] is None:
# Save backups
for [n1,n2] in [[n1b,n2b],[n1s,n2s],[n1d,n2d]]:
if os.access(n1+'~',os.F_OK):
os.remove(n1+'~')
os.rename(n1,n1+'~')
os.rename(n2,n1)
info("Merging succeeded\n")
info("Merging done\n")
commandMergeBranches = command(merge,SIMPLE,"merge",alias=['mb'])
def subtract(name1,name2,col,branch=1,point=1,templates=None):
"""Subtract branches in data files.
Type z=FUNC(x,y,ref) to return the python object x, where,
using interpolation, the first branch in y is subtracted from all
branches in x, as a new object z.
Use 'ref' (e.g., 'PAR(1)') as the reference column in y
(only the first monotonically increasing or decreasing part is used).
Type FUNC('xxx','yyy','ref') to subtract, using interpolation, the first
branch in b.yyy from all branches in b.xxx, and save the result in b.xxx.
A Backup of the original file is saved.
Use optional arguments branch=m, and point=n, to denote the branch and
first point on that branch within y or 'b.yyy', where m,n are in
{1,2,3,...}.
"""
ntype = type(name1)
if type(name1) == type(""):
name1 = filenameTemplate(name1,templates)
name2 = filenameTemplate(name2,templates)
if ntype != type(""):
sub = name1.subtract(name2[branch-1],col,point)
info("Subtracting done\n")
return sub
else:
n1b = name1["bifurcationDiagram"]
bd1 = bifDiag.bifDiag(n1b)
n2b = name2["bifurcationDiagram"]
if n1b == n2b:
bd2 = bd1
else:
bd2 = bifDiag.bifDiag(n2b)
sub = bd1.subtract(bd2[branch-1],col,point)
shutil.copy(n1b,n1b+'~')
sub.writeFilename(n1b,'')
info("Subtracting done\n")
commandSubtractBranches = command(subtract,SIMPLE,"subtract",alias=['sb'])
def append(name1,name2=None,templates=None):
"""Append data files.
Type FUNC(x,'xxx') to append bifurcation diagram x
to the data-files b.xxx, s.xxx, and d.xxx. This is equivalent to
the command
save(x+load('xxx'),'xxx')
Type FUNC('xxx',x) to append existing data-files s.xxx, b.xxx,
and d.xxx to bifurcation diagram x. This is equivalent to
the command
x=load('xxx')+x
Type FUNC('xxx') to append the output-files fort.7, fort.8,
fort.9, to existing data-files s.xxx, b.xxx, and d.xxx.
Type FUNC('xxx','yyy') to append existing data-files s.xxx, b.xxx,
and d.xxx to data-files s.yyy, b.yyy, and d.yyy.
"""
parsed1=None
parsed2=None
if isinstance(name1, bifDiag.bifDiag):
parsed1=name1
name1=name2
name2=None
if isinstance(name1, bifDiag.bifDiag):
parsed2=name1
else:
name1 = filenameTemplate(name1,templates)
name2 = filenameTemplate(name2,templates)
if parsed1 or parsed2:
n = None
if not parsed1 or not parsed2:
nb = name1["bifurcationDiagram"]
ns = name1["solution"]
nd = name1["diagnostics"]
if parsed2: #append to parsed2
if not parsed1:
parsed1 = bifDiag.bifDiag(nb,ns,nd)
info("Appending from %s, %s and %s ... done\n"%(nb,ns,nd))
parsed2.extend(parsed1)
return
if parsed1: #append from parsed1 to file
parsed1.writeFilename(nb,ns,nd,append=True)
info("Appending to %s, %s and %s ... done\n"%(nb,ns,nd))
return
i = 7
for s in ["bifurcationDiagram","solution","diagnostics"]:
n1 = name1[s]
n2 = name2[s]
if n2 is None:
n2 = n1
n1 = "fort."+str(i)
i = i+1
try:
f1 = open(n1,"rb")
f2 = open(n2,"ab")
while 1:
buf = f1.read(1024*1024)
if len(buf) == 0:
break
f2.write(buf)
f1.close()
f2.close()
info("Appending %s to %s ... done\n"%(n1,n2))
except IOError:
info("Appending %s to %s: %s\n"%(n1,n2,sys.exc_info()[1]))
commandAppend = command(append,SIMPLE,"append",alias=['ap'])
def dirfilenames(name1,name2,name3,name4):
"""Convert arguments to directories and names for copy() and move()"""
dir1 = ""
dir2 = ""
if os.path.isdir(name1):
dir1 = name1
name1 = name2
if name4 is not None:
dir2 = name3
name2 = name4
elif name3 is not None:
name2 = name3
elif os.path.isdir(name2):
dir2 = name2
if name3 is not None:
name2 = name3
else:
name2 = name1
return dir1,name1,dir2,name2
def copy(name1,name2,name3=None,name4=None,templates=None):
"""Copy data files.
Type FUNC(name1,name2) or
FUNC(name1,name2,name3) or
FUNC(name1,name2,name3,name4).
Copy the data-files dir1/c.xxx, dir1/b.xxx, dir1/s.xxx, and dir1/d.xxx
to dir2/c.yyy, dir2/b.yyy, dir2/s.yyy, and dir2/d.yyy.
The values of dir1/?.xxx and dir2/?.yyy are as follows, depending on
whether name1 is a directory or name2 is a directory:
FUNC(name1,name2)
no directory names: ./?.name1 and ./?.name2
name1 is a directory: name1/?.name2 and ./?.name2
name2 is a directory: ./?.name1 and name2/?.name1
FUNC(name1,name2,name3)
name1 is a directory: name1/?.name2 and ./?.name3
name2 is a directory: ./?.name1 and name2/?.name3
FUNC(name1,name2,name3,name4)
name1/?.name2 and name3/?.name4
"""
dir1, name1, dir2, name2 = dirfilenames(name1,name2,name3,name4)
names1 = filenameTemplate(name1,templates)
names2 = filenameTemplate(name2,templates)
done = False
for s in ["bifurcationDiagram","solution","diagnostics","constants"]:
n1 = os.path.join(dir1,names1[s])
n2 = os.path.join(dir2,names2[s])
if os.path.exists(n1):
shutil.copy(n1,n2)
info("Copying %s to %s ... done\n"%(n1,n2))
done = True
if not done:
raise AUTOExceptions.AUTORuntimeError(
"Copying: no files found for %s and %s"%(
os.path.join(dir1,"[bsdc]."+name1),
os.path.join(dir2,"[bsdc]."+name2)))
commandCopyDataFiles = command(copy,alias=['cp'])
def save(name1,name2=None,templates=None):
"""Save data files.
Type FUNC(x,'xxx') to save bifurcation diagram x
to the files b.xxx, s.xxx, d.xxx.
Existing files with these names will be overwritten.
If x is a solution, a list of solutions, or does not contain any
bifurcation diagram or diagnostics data, then only the file s.xxx
is saved to.
Type FUNC('xxx') to save the output-files fort.7, fort.8, fort.9,
to b.xxx, s.xxx, d.xxx. Existing files with these names will be
overwritten.
"""
parsed = None
if not name2 is None:
parsed = name1
name1 = name2
name1 = filenameTemplate(name1,templates)
for s in ["bifurcationDiagram","solution","diagnostics"]:
n1 = name1[s]
if os.path.exists(n1):
shutil.copy(n1,n1+'~')
if parsed:
n1b = name1["bifurcationDiagram"]
n1s = name1["solution"]
n1d = name1["diagnostics"]
if (type(parsed) == type([]) and
isinstance(parsed[0], parseB.AUTOBranch)):
parsed = bifDiag.bifDiag(parsed)
if (isinstance(parsed,bifDiag.bifDiag) and
len(parsed) > 0 and len(parsed[0]) > 0):
parsed.writeFilename(n1b,n1s,n1d)
msg = "Saving to %s and %s ... done\n"%(n1b,n1s)
for d in parsed:
if hasattr(d,"diagnostics"):
msg = "Saving to %s, %s, and %s ... done\n"%(n1b,n1s,n1d)
break
else:
if (type(parsed) == type([]) and
isinstance(parsed[0], parseS.AUTOSolution)):
parsed = parseS.parseS(parsed)
parsed.writeFilename(n1s)
msg = "Saving to %s ... done\n"%(n1s)
info(msg)
return
i = 7
for s in ["bifurcationDiagram","solution","diagnostics"]:
n1 = name1[s]
forti = "fort." + str(i)
i = i + 1
if os.path.exists(forti):
shutil.copy(forti,n1)
info("Saving %s as %s ... done\n"%(forti,n1))
commandCopyFortFiles = command(save,SIMPLE,"save",alias=['sv'])
def delete(name,templates=None):
"""Delete data files.
Type FUNC('xxx') to delete the data-files d.xxx, b.xxx, and s.xxx.
"""
name = filenameTemplate(name,templates)
n1b = name["bifurcationDiagram"]
n1s = name["solution"]
n1d = name["diagnostics"]
if os.path.exists(n1b):
os.remove(n1b)
info("Deleting %s ... done\n"%n1b)
if os.path.exists(n1s):
os.remove(n1s)
info("Deleting %s ... done\n"%n1s)
if os.path.exists(n1d):
os.remove(n1d)
info("Deleting %s ... done\n"%n1d)
commandDeleteDataFiles = command(delete,alias=['dl'])
def deleteLabel(codes=None,name1=None,name2=None,templates=None,
keepTY=0,keep=0):
if hasattr(codes,'deleteLabel'):
origlen=len(codes())
new = codes.deleteLabel(name1,keepTY=keepTY,keep=keep,copy=1)
newlen=len(new())
info("Deleted %d labels, and kept %d.\n"%(origlen-newlen, newlen))
return new
name1 = filenameTemplate(name1,templates)
if name1["solution"] is None:
changedb='fort.7'
changeds='fort.8'
else:
changedb=name1["bifurcationDiagram"]
changeds=name1["solution"]
bs=bifDiag.bifDiag(changedb,changeds)
origlen=len(bs())
bs.deleteLabel(codes,keepTY=keepTY,keep=keep)
newlen=len(bs())
if name2 is None:
origb=changedb+'~'
origs=changeds+'~'
try:
os.remove(origb)
except:
pass
try:
os.remove(origs)
except:
pass
os.rename(changedb,origb)
os.rename(changeds,origs)
bs.writeFilename(changedb,changeds)
else:
name2 = filenameTemplate(name2,templates)
bs.writeFilename(name2["bifurcationDiagram"],name2["solution"])
info("Deleted %d labels, and kept %d.\n"%(origlen-newlen, newlen))
def dsp(typenames=None,name1=None,name2=None,templates=None):
"""Delete special points.
Type FUNC(x,list) to delete the special points in list from
the Python object x, which must be a solution list or a bifurcation diagram.
Type FUNC(list,'xxx') to delete from the data-files b.xxx, and s.xxx.
Type FUNC(list,'xxx','yyy') to save to b.yyy and s.yyy instead of ?.xxx.
Type FUNC(list) to delete from fort.7 and fort.8.
list is a label number or type name code, or a list of those,
such as 1, or [2,3], or 'UZ' or ['BP','LP'], or it can be None or
omitted to mean the special points ['BP','LP','HB','PD','TR','EP','MX']
Alternatively a boolean user-defined function f that takes a solution
can be specified for list, such as
def f(s):
return s["PAR(9)"]<0
where all solutions are deleted that satisfy the given condition, or
def f(s1,s2):
return abs(s1["L2-NORM"] - s2["L2-NORM"]) < 1e-4
where all solutions are compared with each other and s2 is deleted if
the given condition is satisfied, which causes pruning of solutions
that are close to each other.
Type information is NOT kept in the bifurcation diagram.
"""
return deleteLabel(typenames,name1,name2,templates)
commandDeleteSpecialPoints = command(dsp)
def ksp(typenames=None,name1=None,name2=None,templates=None):
"""Keep special points.
Type FUNC(x,list) to only keep the special points in list in
the Python object x, which must be a solution list or a bifurcation diagram.
Type FUNC(list,'xxx') to keep them in the data-files b.xxx and s.xxx.
Type FUNC(list,'xxx','yyy') to save to b.yyy and s.yyy instead of ?.xxx.
Type FUNC(list) to keep them in fort.7 and fort.8.
list is a label number or type name code, or a list of those,
such as 1, or [2,3], or 'UZ' or ['BP','LP'], or it can be None or
omitted to mean ['BP','LP','HB','PD','TR','EP','MX'], deleting 'UZ' and
regular points.
Alternatively a boolean user-defined function f that takes a solution
can be specified for list, such as
def f(s):
return s["PAR(9)"]<0
where only solutions are kept that satisfy the given condition.
Type information is NOT kept in the bifurcation diagram.
"""
return deleteLabel(typenames,name1,name2,templates,keep=1)
commandKeepSpecialPoints = command(ksp)
def dlb(typenames=None,name1=None,name2=None,templates=None):
"""Delete special labels.
Type FUNC(x,list) to delete the special points in list from
the Python object x, which must be a solution list or a bifurcation diagram.
Type FUNC(list,'xxx') to delete from the data-files b.xxx and s.xxx.
Type FUNC(list,'xxx','yyy') to save to b.yyy and s.yyy instead of ?.xxx.
Type FUNC(list) to delete from fort.7 and fort.8.
list is a label number or type name code, or a list of those,
such as 1, or [2,3], or 'UZ' or ['BP','LP'], or it can be None or
omitted to mean the special points ['BP','LP','HB','PD','TR','EP','MX']
Alternatively a boolean user-defined function f that takes a solution
can be specified for list, such as
def f(s):
return s["PAR(9)"] < 0
where all solutions are deleted that satisfy the given condition, or
def f(s1,s2):
return abs(s1["L2-NORM"] - s2["L2-NORM"]) < 1e-4
where all solutions are compared with each other and s2 is deleted if
the given condition is satisfied, which causes pruning of solutions
that are close to each other.
Type information is kept in the bifurcation diagram for plotting.
"""
return deleteLabel(typenames,name1,name2,templates,keepTY=1)
commandDeleteLabels = command(dlb)
def klb(typenames=None,name1=None,name2=None,templates=None):
"""Keep special labels.
Type FUNC(x,list) to only keep the special points in list in
the Python object x, which must be a solution list or a bifurcation diagram.
Type FUNC(list,'xxx') to keep them in the data-files b.xxx and s.xxx.
Type FUNC(list,'xxx','yyy') to save to b.yyy and s.yyy instead of ?.xxx.
Type FUNC(list) to keep them in fort.7 and fort.8.
list is a label number or type name code, or a list of those,
such as 1, or [2,3], or 'UZ' or ['BP','LP'], or it can be None or
omitted to mean ['BP','LP','HB','PD','TR','EP','MX'], deleting 'UZ' and
regular points.
Alternatively a boolean user-defined function f that takes a solution
can be specified for list, such as
def f(s):
return s["PAR(9)"]<0
where only solutions are kept that satisfy the given condition.
Type information is kept in the bifurcation diagram for plotting.
"""
return deleteLabel(typenames,name1,name2,templates,keepTY=1,keep=1)
commandKeepLabels = command(klb)
def expandData(cmd,name=None,templates=None):
name = filenameTemplate(name,templates)
n1b = name["bifurcationDiagram"]
n1s = name["solution"]
if n1s is None:
n1s = "fort.8"
n1b = "fort.7"
if os.path.exists(n1b):
shutil.copy(n1b,n1b+'~')
if os.path.exists(n1s):
shutil.copy(n1s,"fort.28")
if os.path.exists(n1s+'~'):
os.remove(n1s+'~')
os.rename(n1s,n1s+'~')
interact(os.path.expandvars("$AUTO_DIR/bin/%s"%cmd))
os.rename("fort.38",n1s)
if os.path.exists("fort.28"):
os.remove("fort.28")
if cmd == "double":
info("Solution doubling done.\n")
else:
info("Solution tripling done.\n")
def double(name=None,templates=None):
"""Double a solution.
Type FUNC() to double the solution in 'fort.7' and 'fort.8'.
Type FUNC('xxx') to double the solution in b.xxx and s.xxx.
"""
expandData("double",name,templates)
commandDouble = command(double,alias=['db'])
def move(name1,name2,name3=None,name4=None,templates=None):
"""Move data-files to a new name.
Type FUNC(name1,name2) or
FUNC(name1,name2,name3) or
FUNC(name1,name2,name3,name4)
Move the data-files dir1/b.xxx, dir1/s.xxx, and dir1/d.xxx,
to dir2/b.yyy, dir2/s.yyy, and dir2/d.yyy, and copy the constants
file dir1/c.xxx to dir2/c.yyy.
The values of dir1/?.xxx and dir2/?.yyy are as follows, depending on
whether name1 is a directory or name2 is a directory:
FUNC(name1,name2)
no directory names: ./?.name1 and ./?.name2
name1 is a directory: name1/?.name2 and ./?.name2
name2 is a directory: ./?.name1 and name2/?.name1
FUNC(name1,name2,name3)
name1 is a directory: name1/?.name2 and ./?.name3
name2 is a directory: ./?.name1 and name2/?.name3
FUNC(name1,name2,name3,name4)
name1/?.name2 and name3/?.name4
"""
dir1, name1, dir2, name2 = dirfilenames(name1,name2,name3,name4)
names1 = filenameTemplate(name1,templates)
names2 = filenameTemplate(name2,templates)
done = False
for s in ["bifurcationDiagram","solution","diagnostics","constants"]:
n1 = os.path.join(dir1,names1[s])
n2 = os.path.join(dir2,names2[s])
if s == "constants":
try:
shutil.copy(n1,n2)
info("Copying %s to %s ... done\n"%(n1,n2))
done = True
except IOError:
pass
continue
if os.path.exists(n1):
if os.path.exists(n2):
os.remove(n2)
os.rename(n1,n2)
info("Renaming %s as %s ... done\n"%(n1,n2))
done = True
if not done:
raise AUTOExceptions.AUTORuntimeError(
"Renaming: no files found for %s and %s"%(
os.path.join(dir1,"[bsdc]."+name1),
os.path.join(dir2,"[bsdc]."+name2)))
commandMoveFiles = command(move,alias=['mv'])
def cn(name,templates=None):
"""Get the current continuation constants.
Type FUNC('xxx') to get a parsed version of the constants file
c.xxx.
This is equivalent to the command
loadbd('xxx').c
"""
name = filenameTemplate(name,templates)
data = parseC.parseC(name["constants"])
info("Parsed file: %s\n"%name["constants"])
return data
commandParseConstantsFile = command(cn,alias=['constantsget'])
def hcn(name,templates=None):
"""Get the current HomCont continuation constants.
Type FUNC('xxx') to get a parsed version of the HomCont file
h.xxx.
"""
name = filenameTemplate(name,templates)
data = parseH.parseH(name["homcont"])
info("Parsed file: %s\n"%name["homcont"])
return data
commandParseHomcontFile = command(hcn)
def sl(name=None,templates=None):
"""Parse solution file:
Type FUNC('xxx') to get a parsed version of the solution file
s.xxx.
This is equivalent to the command
loadbd('xxx')()
"""
name = filenameTemplate(name,templates)
n1s = name["solution"] or "fort.8"
try:
data = parseS.parseS(n1s)
except IOError:
raise AUTOExceptions.AUTORuntimeError(sys.exc_info()[1])
if isinstance(n1s, str):
info("Parsed file: %s\n"%n1s)
return data
commandParseSolutionFile = command(sl,alias=['solutionget'])
def dg(name=None,templates=None):
"""Parse a bifurcation diagram.
Type FUNC('xxx') to get a parsed version of the diagram file b.xxx.
This is equivalent to the command loadbd('xxx') but without the
solutions in s.xxx and without the diagnostics in d.xxx.
"""
name = filenameTemplate(name,templates)
n1b = name["bifurcationDiagram"]
if n1b is None:
n1b = "fort.7"
try:
data = parseB.parseB(n1b)
except IOError:
raise AUTOExceptions.AUTORuntimeError(sys.exc_info()[1])
info("Parsed file: %s\n"%n1b)
return data
commandParseDiagramFile = command(dg,alias=['diagramget'])
def bt(name=None,templates=None):
"""Parse both bifurcation diagram and solution.
Type FUNC('xxx') to get a parsed version of the diagram file b.xxx
and solution file s.xxx.
This is equivalent to the command loadbd('xxx') but without the
diagnostics in d.xxx.
"""
name = filenameTemplate(name,templates)
n1b = name["bifurcationDiagram"]
n1s = name["solution"]
if n1b is None:
n1b = "fort.7"
n1s = "fort.8"
data = parseBandS.parseBandS(n1b,n1s)
output_names = n1b + " and " + n1s
info("Parsed files: %s\n"%output_names)
return data
commandParseDiagramAndSolutionFile = command(bt,alias=['diagramandsolutionget'])
def queryDiagnostic(diagnostic,name=None,templates=None):
name = filenameTemplate(name,templates)
n1d = name["diagnostics"]
if n1d is None:
n1d = "fort.9"
try:
f = open(n1d)
except TypeError:
for branch in n1d:
if hasattr(branch,"diagnostics"):
for s in str(branch.diagnostics).splitlines():
if diagnostic in s:
info(s+"\n")
info("\n")
return
for s in f:
if diagnostic in s:
info(s)
f.close()
info("\n")
commandQueryDiagnostic = command(queryDiagnostic,alias=None)
def branchpoint(name=None,templates=None):
"""Print the ``branch-point function''.
Type FUNC(x) to list the value of the ``branch-point function''
in the diagnostics of the bifurcation diagram object x.
This function vanishes at a branch point.
Type FUNC() to list the value of the ``branch-point function''
in the output-file fort.9.
Type FUNC('xxx') to list the value of the ``branch-point function''
in the info file 'd.xxx'.
"""
queryDiagnostic("BP",name,templates)
commandQueryBranchPoint = command(branchpoint,alias=['bp','br'])
def eigenvalue(name=None,templates=None):
"""Print eigenvalues of Jacobian (algebraic case).
Type FUNC(x) to list the eigenvalues of the Jacobian
in the diagnostics of the bifurcation diagram object x.
(Algebraic problems.)
Type FUNC() to list the eigenvalues of the Jacobian
in fort.9.
Type FUNC('xxx') to list the eigenvalues of the Jacobian
in the info file 'd.xxx'.
"""
queryDiagnostic("Eigenvalue",name,templates)
commandQueryEigenvalue = command(eigenvalue,alias=['ev','eg'])
def floquet(name=None,templates=None):
"""Print the Floquet multipliers.
Type FUNC(x) to list the Floquet multipliers
in the diagnostics of the bifurcation diagram object x.
(Differential equations.)
Type FUNC() to list the Floquet multipliers
in the output-file fort.9.
Type FUNC('xxx') to list the Floquet multipliers
in the info file 'd.xxx'.
"""
queryDiagnostic("Mult",name,templates)
commandQueryFloquet = command(floquet,alias=['fl'])
def hopf(name=None,templates=None):
"""Print the value of the ``Hopf function''.
Type FUNC(x) to list the value of the ``Hopf function''
in the diagnostics of the bifurcation diagram object x.
This function vanishes at a Hopf bifurcation point.
Type FUNC() to list the value of the ``Hopf function''
in the output-file fort.9.
Type FUNC('xxx') to list the value of the ``Hopf function''
in the info file 'd.xxx'.
"""
queryDiagnostic("Hopf",name,templates)
commandQueryHopf = command(hopf,alias=['hp','hb'])
def iterations(name=None,templates=None):
"""Print the number of Newton interations.
Type FUNC(x) to list the number of Newton iterations per
continuation step in the diagnostics of the bifurcation diagram
object x.
Type FUNC() to list the number of Newton iterations per
continuation step in fort.9.
Type FUNC('xxx') to list the number of Newton iterations per
continuation step in the info file 'd.xxx'.
"""
queryDiagnostic("Iterations",name,templates)
commandQueryIterations = command(iterations,alias=['it'])
def limitpoint(name=None,templates=None):
"""Print the value of the ``limit point function''.
Type FUNC(x) to list the value of the ``limit point function''
in the diagnostics of the bifurcation diagram object x.
This function vanishes at a limit point (fold).
Type FUNC() to list the value of the ``limit point function''
in the output-file fort.9.
Type FUNC('xxx') to list the value of the ``limit point function''
in the info file 'd.xxx'.
"""
queryDiagnostic("Fold",name,templates)
commandQueryLimitpoint = command(limitpoint,alias=['lm','lp'])
def note(name=None,templates=None):
"""Print notes in info file.
Type FUNC(x) to show any notes
in the diagnostics of the bifurcation diagram
object x.
Type FUNC() to show any notes
in the output-file fort.9.
Type FUNC('xxx') to show any notes
in the info file 'd.xxx'.
"""
queryDiagnostic("NOTE",name,templates)
commandQueryNote = command(note,alias=['nt'])
def secondaryperiod(name=None,templates=None):
"""Print value of ``secondary-periodic bif. fcn''.
Type FUNC(x) to list the value of the
``secondary-periodic bifurcation function''
in the diagnostics of the bifurcation diagram object x.
This function vanishes at period-doubling and torus bifurcations.
Type FUNC() to list the value of the
``secondary-periodic bifurcation function''
in the output-file 'fort.9.
Type FUNC('xxx') to list the value of the
``secondary-periodic bifurcation function''
in the info file 'd.xxx'.
"""
queryDiagnostic("SPB",name,templates)
commandQuerySecondaryPeriod = command(secondaryperiod,alias=['sp','sc'])
def stepsize(name=None,templates=None):
"""Print continuation step sizes.
Type FUNC(x) to list the continuation step size for each
continuation step in the diagnostics of the bifurcation diagram
object x.
Type FUNC() to list the continuation step size for each
continuation step in 'fort.9'.
Type FUNC('xxx') to list the continuation step size for each
continuation step in the info file 'd.xxx'.
"""
queryDiagnostic("Step",name,templates)
commandQueryStepsize = command(stepsize,alias=['ss','st'])
def triple(name=None,templates=None):
"""Triple a solution.
Type FUNC() to triple the solution in 'fort.8'.
Type FUNC('xxx') to triple the solution in s.xxx.
"""
return expandData("triple",name,templates)
commandTriple = command(triple,alias=['tr'])
############################################
# System Commands
############################################
def ls(dir=None):
"""List the current directory.
Type 'FUNC' to run the system 'ls' command in the current directory. This
command will accept whatever arguments are accepted by the Unix command
'ls'.
"""
cmd = "ls"
if os.name in ["nt", "dos"]:
path = os.environ["PATH"].split(os.pathsep)
cmd = "dir"
for s in path:
if os.path.exists(os.path.join(s,"ls.exe")):
cmd = "ls"
break
if dir is not None:
cmd = "%s %s"%(cmd,dir)
if sys.stdout is sys.__stdout__:
sys.stdout.flush()
os.system(cmd)
else:
info(AUTOutil.getstatusoutput(cmd, shell=True)[1]+'\n')
commandLs = command(ls)
def quit():
"""Quit the AUTO CLUI."""
if isinstance(builtins.quit,str):
sys.exit()
else:
builtins.quit()
commandQuit = command(quit,alias=['q'])
def shell(cmd):
"""Run a shell command.
Type FUNC('xxx') to run the command 'xxx' in the Unix shell and display
the results in the AUTO command line user interface.
"""
sys.stdout.flush()
os.system(cmd)
commandShell = command(shell)
def wait():
"""Wait for the user to enter a key.
Type 'FUNC()' to have the AUTO interface wait
until the user hits any key (mainly used in scripts).
"""
print("Hit <return> to continue")
input()
commandWait = command(wait)
def cat(f=None):
"""Print the contents of a file
Type 'FUNC xxx' to list the contents of the file 'xxx'.
"""
if f is not None:
f = open(f,"r")
for line in f:
info(line)
f.close()
else:
line = sys.stdin.readline()
while line != "":
info(line)
line = sys.stdin.readline()
commandCat = command(cat)
############################################
# Commands which use runAUTO
############################################
# This function is overridden in AUTOclui.py, so the AUTOSimpleFunctions
# instance's runner can be used.
def withrunner(runner=None):
return runner
def cd(dir=None,runner=None):
"""Change directories.
Type 'FUNC xxx' to change to the directory 'xxx'. This command
understands both shell variables and home directory expansion.
"""
runner = withrunner(runner)
if dir is None or dir == '':
dir = os.path.expanduser("~")
try:
dir = os.path.expanduser(dir)
dir = os.path.expandvars(dir)
os.chdir(dir)
except:
print(("Directory '%s' not found"%(dir,)))
runner.config(dir=os.getcwd())
commandCd = command(cd)
def configure(runner=None,templates=None,data=None,**kw):
"""Load files into the AUTO runner or return modified solution data.
Type result=FUNC([options]) to modify the AUTO runner.
The type of the result is a solution object.
There are many possible options:
\\begin{verbatim}
Long name Short name Description
-------------------------------------------
equation e The equations file
constants c The AUTO constants file
homcont h The Homcont parameter file
solution s The restart solution file
NDIM,IPS,etc AUTO constants.
BR,PT,TY,LAB Solution constants.
\\end{verbatim}
Options which are not explicitly set retain their previous value.
For example one may type: s=FUNC(e='ab',c='ab.1') to use 'ab.c' as
the equations file and c.ab.1 as the constants file.
You can also specify AUTO Constants, e.g., DS=0.05, or IRS=2.
Special values for DS are '+' (forwards) and '-' (backwards).
Example: s = FUNC(s,DS='-') changes s.c['DS'] to -s.c['DS'].
"""
def applyRunnerConfigResolveAbbreviation(**kw):
abbrev = {}
for key in ["equation", "constants", "solution", "homcont"]:
abbrev[key[0]] = key
abbrev[key] = key
for key in list(kw):
# remove long duplicates
if (key in abbrev and key != abbrev[key] and
abbrev[key] in kw):
del kw[abbrev[key]]
for key,value in list(kw.items()):
if key in abbrev:
# change the abbreviation to the long version
del kw[key]
if AUTOutil.isiterable(value):
kw[abbrev[key]] = value
else:
if key[0] == 'e':
kw['e'] = value
kw[abbrev[key]] = applyTemplate(value,abbrev[key],templates)
return kw
def applyRunnerConfigResolveFilenames(**kw):
exception = None
objectdict = {"constants": parseC.parseC,
"homcont": parseH.parseH,
"solution": parseS.parseS}
for key in ["constants", "homcont", "solution"]:
if key in kw:
value = kw[key]
elif data is not None:
value = applyTemplate(data,key,templates)
else:
value = None
if value is not None and not AUTOutil.isiterable(value):
try:
kw[key] = objectdict[key](value)
except IOError:
if key in kw:
# for solution only raise exception later if IRS!=0
exception = sys.exc_info()[1]
if key != "solution":
raise AUTOExceptions.AUTORuntimeError(exception)
# ignore error, but erase runner data for load("xxx")
kw[key] = None
if data is not None and "e" not in kw and not AUTOutil.isiterable(data):
kw["e"] = data
kw["equation"] = applyTemplate(data,"equation",templates)
if "e" in kw:
eq = kw["e"]
for ext in [".f90",".f",".c"]:
if os.path.exists(eq+ext):
return kw, exception
raise AUTOExceptions.AUTORuntimeError(
"No equations file found for: '%s'"%eq)
return kw, exception
runner = withrunner(runner)
if "info" in kw:
info = kw["info"]
del kw["info"]
else:
info = globals()["info"]
kw = applyRunnerConfigResolveAbbreviation(**kw)
kw, exception = applyRunnerConfigResolveFilenames(**kw)
if data is not None and AUTOutil.isiterable(data):
if hasattr(data,"load"):
# for load(object,...)
if "equation" in kw:
del kw["equation"]
solution = data.load(**kw)
c = solution.c
kw = {"equation": applyTemplate(c.get("e", ""), "equation",
templates),
"solution": solution, "constants": c,
"homcont": c.get("homcont")}
else:
# for load(array,...)
kw["solution"] = data
solution = runner.load(**kw)
if exception is not None and runner.options["constants"]["IRS"]:
raise AUTOExceptions.AUTORuntimeError(exception)
info("Runner configured\n")
return solution
commandRunnerConfig = command(configure,alias=None)
def load(data=None,runner=None,templates=None,**kw):
"""Load files into the AUTO runner or return modified solution data.
Type result=FUNC([options]) to modify the AUTO runner.
Type result=FUNC(data,[options]) to return possibly
modified solution data.
The type of the result is a solution object.
FUNC(data,[options]) returns a solution in the following way for
different types of data:
* A solution: load returns the solution data, with AUTO constants
modified by options.
* A bifurcation diagram or a solution list:
returns the solution specified by
the AUTO constant IRS, or if IRS is not specified, the last solution
in s.
* A string: AUTO uses the solution in the file 's.s' together with the
constants in the files 'c.s', and 'h.s'. Not all of these
files need to be present.
* A Python list array or a numpy array representing a solution,
returns a solution with the given contents. Such an array must be given
column-wise, as [[t0, ..., tn], [x0, ..., xn], [y0, ..., yn], ...],
or for a point solution as [x, y, z, ...].
There are many possible options:
\\begin{verbatim}
Long name Short name Description
-------------------------------------------
equation e The equations file
constants c The AUTO constants file
homcont h The Homcont parameter file
solution s The restart solution file
NDIM,IPS,etc AUTO constants.
BR,PT,TY,LAB Solution constants.
\\end{verbatim}
If data is not specified or data is a string then options which
are not explicitly set retain their previous value.
For example one may type: s=FUNC(e='ab',c='ab.1') to use 'ab.c' as
the equations file and c.ab.1 as the constants file.
Type s=FUNC('name') to load all files with base 'name'.
This does the same thing as running
s=FUNC(e='name',c='name,h='name',s='name').
You can also specify AUTO Constants, e.g., DS=0.05, or IRS=2.
Special values for DS are '+' (forwards) and '-' (backwards).
Example: s = FUNC(s,DS='-') changes s.c['DS'] to -s.c['DS'].
"""
runner = withrunner(runner)
return configure(runner,templates,data,**kw)
commandRunnerLoadName = command(load,SIMPLE,"loadname",alias=['ld'])
def loadbd(name=None,templates=None,**kw):
"""Load bifurcation diagram files.
Type b=FUNC([options]) to load output files or output data.
There are three possible options:
\\begin{verbatim}
Long name Short name Description
-------------------------------------------
bifurcationdiagram b The bifurcation diagram file
solution s The solution file or list of solutions
diagnostics d The diagnostics file
\\end{verbatim}
Type FUNC('name') to load all files with base 'name'.
This does the same thing as running
FUNC(b='name',s='name,d='name').
plot(b) will then plot the 'b' and 's' components.
Returns a bifurcation diagram object representing the files in b.
"""
def __applyBsdConfigResolveAbbreviation(**kw):
abbrev = {}
for key in ["bifurcationDiagram", "solution", "diagnostics"]:
abbrev[key[0]] = key
abbrev[key] = key
for key in list(kw):
# remove long duplicates
if (key in abbrev and key != abbrev[key] and
abbrev[key] in kw):
del kw[abbrev[key]]
for key,value in list(kw.items()):
if key in abbrev:
# change the abbreviation to the long version
del kw[key]
if type(value) in [type(""),type(1),type(1.0)]:
kw[abbrev[key]] = applyTemplate(value,abbrev[key],templates)
else:
kw[abbrev[key]] = value
return kw
if name is not None:
if AUTOutil.isiterable(name):
lst = ["bifurcationDiagram"]
else:
lst = ["bifurcationDiagram", "solution", "diagnostics"]
for key in lst:
if key not in kw:
kw[key] = name
if name is None and kw == {}:
bname, sname, dname = "fort.7", "fort.8", "fort.9"
else:
dict = __applyBsdConfigResolveAbbreviation(**kw)
bname = dict.get("bifurcationDiagram")
sname = dict.get("solution")
dname = dict.get("diagnostics")
data = bifDiag.bifDiag(bname,sname,dname)
info("Parsed output data\n")
return data
commandParseOutputFiles = command(loadbd,SIMPLE,"loadbd",alias=['bd'])
def pr(parameter=None,runner=None):
"""Print continuation parameters.
Type FUNC() to print all the parameters.
Type FUNC('xxx') to return the parameter 'xxx'.
These commands are equivalent to the commands
print s.c
print s.c['xxx']
where s is a solution.
"""
runner = withrunner(runner)
if parameter is None:
info(str(runner.options["constants"]))
else:
return runner.options["constants"][parameter]
commandRunnerPrintFort2 = command(pr,alias=['printconstant','pc'])
def hpr(parameter=None,runner=None):
"""Print HomCont continuation parameters.
Type FUNC() to print all the HomCont parameters.
Type FUNC('xxx') to return the HomCont parameter 'xxx'.
These commands are equivalent to the commands
print s.c
print s.c['xxx']
where s is a solution.
"""
runner = withrunner(runner)
if parameter is None:
info(str(runner.options["homcont"]))
else:
return runner.options["homcont"][parameter]
commandRunnerPrintFort12 = command(hpr)
def ch(entry=None,value=None,runner=None,**kw):
"""Modify continuation constants.
Type FUNC('xxx',yyy) to change the constant 'xxx' to have
value yyy.
This is equivalent to the command
s=load(s,xxx=yyy)
where s is a solution.
"""
runner = withrunner(runner)
if entry is not None:
runner.options["constants"][entry] = value
info("%s changed to %s\n"%(entry,value))
else:
configure(runner,None,info=lambda s:None,**kw)
info(str(kw)+'\n')
commandRunnerConfigFort2 = command(ch,SIMPLE,"changeConstants",
alias=['changeconstant','cc'])
def hch(entry=None,value=None,runner=None,**kw):
"""Modify HomCont continuation constants.
Type FUNC('xxx',yyy) to change the HomCont constant 'xxx' to have
value yyy.
This is equivalent to the command
s=load(s,xxx=yyy)
where s is a solution.
"""
runner = withrunner(runner)
if entry is not None:
runner.options["homcont"][entry] = value
info("%s changed to %s\n"%(entry,value))
else:
configure(runner,None,info=lambda s:None,**kw)
info(str(kw)+'\n')
commandRunnerConfigFort12 = command(hch,SIMPLE,"changeConstantsHomCont")
def run(data=None,sv=None,ap=None,runner=None,templates=None,**kw):
"""Run AUTO.
Type r=FUNC([data],[options]) to run AUTO from solution data with the given
AUTO constants or file keyword options.
The results are stored in the bifurcation diagram r which you can
later print with ``print r'', obtain branches from via r[0], r[1], ...,
and obtain solutions from via r(3), r(5), r('LP2'), where 3 and 5
are label numbers, and 'LP2' refers to the second LP label.
FUNC(data) runs AUTO in the following way for different types of data:
* A solution: AUTO starts from solution data, with AUTO constants data.c.
* A bifurcation diagram: AUTO start from the solution specified by
the AUTO constant IRS, or if IRS is not specified, the last solution
in data, data()[-1], with AUTO constants data()[-1].c.
* A string: AUTO uses the solution in the file 's.data' together with the
constants in the files 'c.data', and 'h.data'. Not all of these
files need to be present.
If no solution data is specified, then the global values from the
'load' command are used instead, where
options which are not explicitly set retain their previous value.
Keyword argument options can be AUTO constants, such as DS=0.05,
or ISW=-1, or specify a constant or solution file. These override
the constants in s.c, where applicable. See ``load'':
FUNC(s,options) is equivalent to FUNC(load(s,options))
Example: given a bifurcation diagram bd, with a branch point
solution, switch branches and stop at the first Hopf bifurcation:
hb = FUNC(bd('BP1'),ISW=-1,STOP='HB1')
Special keyword arguments are 'sv' and 'ap'; 'sv' is also an AUTO
constant:
FUNC(bd('BP1'),ISW=-1,STOP='HB1',sv='hb',ap='all')
saves to the files b.hb, s.hb and d.hb, and appends to b.all,
s.all, and d.all.
"""
runner = withrunner(runner)
if sv is not None:
kw['sv'] = sv
load(data,runner,templates,info=lambda msg:None,**kw)
res = runner.run()
sv = runner.options["constants"].get("sv")
runner.options["constants"]['sv'] = None
if sv is not None and sv != '':
name = filenameTemplate(sv,templates)
bname = name["bifurcationDiagram"]
sname = name["solution"]
dname = name["diagnostics"]
info("Saving to %s, %s, and %s ... done\n"%(bname,sname,dname))
if ap is not None:
append(sv,ap)
elif ap is not None:
append(ap)
return res
commandRun = command(run,SIMPLE,"run",alias=['r','rn'])
def rundemo(demo,equation="all",runner=None):
runner = withrunner(runner)
runner.config(equation=equation)
runner.runDemo(demo)
commandRunDemo = command(rundemo,alias=None)
def runMakefileWithSetup(equation=None,fort2=None,fort3=None,runner=None):
runner = withrunner(runner)
if fort2 is not None:
runner.config(fort2=fort2)
if fort3 is not None:
runner.config(fort3=fort3)
# Before this is called runner needs to have the fort2 and fort3
# options set. Otherwise this will raise an exception.
runner.runMakefileWithSetup(equation)
commandRunMakefileWithSetup = command(runMakefileWithSetup,alias=None)
def runMakefile(equation=None,runner=None):
runner = withrunner(runner)
runner.runMakefile(equation)
commandRunMakefile = command(runMakefile,alias=None)
def runExecutableWithSetup(executable=None,fort2=None,fort3=None,runner=None):
runner = withrunner(runner)
if fort2 is not None:
runner.config(fort2=fort2)
if fort3 is not None:
runner.config(fort3=fort3)
# Before this is called runner needs to have the fort2 and fort3
# options set. Otherwise this will raise an exception.
runner.runExecutableWithSetup(executable)
commandRunExecutableWithSetup = command(runExecutableWithSetup,alias=None)
def runExecutable(executable=None,fort2=None,fort3=None,runner=None):
runner = withrunner(runner)
runner.runExecutable(executable)
commandRunExecutable = command(runExecutable,alias=None)
def runCommandWithSetup(command=None,fort2=None,fort3=None,runner=None):
runner = withrunner(runner)
if fort2 is not None:
runner.config(fort2=fort2)
if fort3 is not None:
runner.config(fort3=fort3)
# Before this is called runner needs to have the fort2 and fort3
# options set. Otherwise this will raise an exception.
runner.runCommandWithSetup(command)
commandRunCommandWithSetup = command(runCommandWithSetup,alias=None)
def runCommand(command=None,runner=None):
runner = withRunner(runner)
runner.runCommand(command)
commandRunCommand = command(runCommand,alias=None)
def plot3(name=None,r3b=False):
"""3D plotting of data.
Type FUNC(x) to run the graphics program PLAUT04 for the graphical
inspection of bifurcation diagram or solution data in x.
Type FUNC('xxx') to run the graphics program PLAUT04 for the graphical
inspection of the data-files b.xxx and s.xxx.
Type FUNC() to run the graphics program PLAUT04 for the graphical
inspection of the output-files 'fort.7' and 'fort.8'.
Type FUNC(...,r3b=True) to run PLAUT04 in restricted three body
problem mode.
"""
cmd = os.path.join(os.path.expandvars("$AUTO_DIR"),"bin")
cmd = os.path.join(cmd, "plaut04")
arg = []
if r3b:
arg = ["-r3b"]
if name is not None:
if type(name) == type(""):
arg.append(name)
else:
d = name
for f in ["fort.7","fort.8","fort.9"]:
if os.path.exists(f):
os.remove(f)
if isinstance(d,bifDiag.bifDiag):
d.writeFilename("fort.7","fort.8","fort.9")
elif isinstance(d,parseBandS.parseBandS):
d.writeFilename("fort.7","fort.8")
elif isinstance(d,parseB.parseB):
d.writeFilename("fort.7")
elif isinstance(d,parseS.parseS):
d.writeFilename("fort.8")
elif isinstance(d,parseB.AUTOBranch):
d.writeFilename("fort.7")
elif isinstance(d,parseS.AUTOSolution):
d.writeFilename("fort.8")
sys.stdout.flush()
if not os.path.exists(cmd):
cmd = cmd + '.exe'
if sys.stdout is sys.__stdout__:
os.spawnv(os.P_NOWAIT,cmd,[os.path.basename(cmd)] + arg)
else:
# when testing, change directories so plaut04 does not keep
# cwd open on Windows and it can be deleted
cwd = os.getcwd()
os.chdir(os.path.dirname(cmd))
os.spawnv(os.P_NOWAIT,cmd,[os.path.basename(cmd), cwd] + arg)
# and wait a little bit
os.chdir(cwd)
import time
time.sleep(2)
commandPlotter3D = command(plot3,alias=['p3'])
try:
try:
from tkinter import Tk
except ImportError:
from tkinter import Tk # Python 3
plotterimported = False
try:
import readline
import atexit
except:
pass
import select
# this polling loop is here so that Cygwin Python does not "hang" the
# plot window while Python waits for a user input
def handleevents():
while select.select([sys.stdin],[],[],0.02) == ([], [], []):
_root.dooneevent()
#####################################################
# Plotting commands
#####################################################
def plot(name=None,templates=None,**kw):
"""Plotting of data.
Type FUNC(x) to run the graphics program PyPLAUT for the graphical
inspection of bifurcation diagram or solution data in x.
Type FUNC('xxx') to run the graphics program PyPLAUT for the graphical
inspection of the data-files b.xxx and s.xxx.
Type FUNC() to run the graphics program for the graphical
inspection of the output-files 'fort.7' and 'fort.8'.
Values also present in the file autorc, such as
color_list="black green red blue orange" can be provided as
keyword arguments, as well as hide=True which hides the
on-screen plot.
The return value, for instance, p for p=plot(x) will be the handle
for the graphics window.
It has p.config() and p.savefig() methods that allow you to configure
and save the plot. When plotting, see help(p.config) and help(p.savefig)
for details.
"""
options = kw
if type(name) == type("") or name is None:
name = filenameTemplate(name,templates)
parsed = None
else:
parsed = name
# delay importing plotting modules until we actually plot...
global plotterimported, windowPlotter
if not plotterimported:
#from ..graphics import windowPlotter
from sys import path
from os.path import dirname as dir
path.append(dir(path[0]))
from graphics import windowPlotter
plotterimported = True
# root has to be here since I am passing options in
# a dictionary. Otherwise the default agruements
# get messed up
# NOTE: options set here go to the MegaToplevel!, while
# the return value of this function is the underlying
# grapher. So we add 'grapher_' to all options that don't
# already do
for k in list(options):
if k[:8] != 'grapher_':
v = options[k]
del options[k]
options['grapher_'+k] = v
# Get rid of the initial window
if options.get('grapher_hide'):
root=None
else:
root=Tk()
root.withdraw()
if sys.platform == "cygwin":
try:
readline.set_pre_input_hook(handleevents)
global _root
_root=root
except:
pass
if parsed:
nb, ns = None, None
if isinstance(parsed,bifDiag.bifDiag):
nb = parsed
ns = parsed()
elif isinstance(parsed,parseBandS.parseBandS):
nb = parsed.diagram.branches
ns = parsed.solution
elif isinstance(parsed,parseB.parseB):
nb = parsed.branches
elif isinstance(parsed,parseS.parseS):
ns = parsed
elif isinstance(parsed,parseB.AUTOBranch):
nb = parseB.parseBR([parsed])
elif isinstance(parsed,parseS.AUTOSolution):
ns = parseS.parseS([parsed])
if nb:
options["grapher_bifurcation_diagram"] = nb
if ns:
options["grapher_solution"] = ns
else:
n1b = name["bifurcationDiagram"]
n1s = name["solution"]
if n1b is None:
n1b = "fort.7"
n1s = "fort.8"
try:
n1b = parseB.parseBR(n1b)
n1b = bifDiag.bifDiag(n1b,n1s,constants=n1b[0].c)
except IOError:
n1b = bifDiag.bifDiag(n1b,n1s)
options["grapher_bifurcation_diagram"] = n1b
options["grapher_solution"] = n1b()
handle = windowPlotter.WindowPlotter2D(root,**options)
if (not options.get('grapher_hide') or
'graphics.grapher_mpl' not in sys.modules):
handle.update()
try:
def plotterquit():
try:
handle.destroy()
except KeyError:
pass
atexit.register(plotterquit)
except:
pass
info("Created plot\n")
return handle
except:
print("\n-------------------------------------------------------------")
print("Could not import plotting modules, plotting will be disabled.")
print("This is probably because Tkinter is not enabled in your Python installation.")
print("-------------------------------------------------------------\n")
def plot(name=None,templates=None,**kw):
"""2D plotting of data.
Plotting of data has been disabled in the AUTO-07P CLUI.
This is probably because the Python interpretor cannot
load the Tkinter module.
"""
info("2D plotting has been disabled\n")
commandPlotter = command(plot,SIMPLE,"plot",alias=['pl','p2'])
##################################################
# CLUI commands
##################################################
def autohelp(command_string=""):
outputString = ""
# Read in the aliases.
_aliases = {}
parser = AUTOutil.getAUTORC()
if parser.has_section("AUTO_command_aliases"):
for option in parser.options("AUTO_command_aliases"):
cmd = parser.get("AUTO_command_aliases",option)
if cmd not in _aliases:
_aliases[cmd] = []
_aliases[cmd].append(option)
from . import AUTOCommands
if _aliases == {}:
# Now we copy the commands from the module
for key in AUTOCommands.__dict__:
cmd = getattr(AUTOCommands,key)
# Check to see if it is a command
if hasattr(cmd,"fun") and cmd.alias is not None:
_aliases[key] = [cmd.fun.__name__] + cmd.alias
command_list = []
# Here we get a list of the names of all of the commands in AUTOCommands
for key in AUTOCommands.__dict__:
if key in _aliases:
command_list.append(key)
return_value = {}
if not isinstance(command_string, str):
try:
outputString += command_string.__doc__+'\n'
except TypeError:
pass
info(outputString)
return return_value
if len(command_string) == 0:
# If we were created with the empty string return a formatted
# quick reference of all commands as the string and a
# dictionary of all commands as the data. The dictionary
# has an entry for each command which is a dictionary
# with two entries:
# "aliases" a list of the aliases of the command
# "description" a one line description of the command
command_list.sort()
outputString += " ALIASES DESCRIPTION\n"
for cmd in command_list:
return_value[cmd] = {}
return_value[cmd]["aliases"] = []
aliases = ""
for key in _aliases[cmd]:
aliases = aliases + key + " "
return_value[cmd]["aliases"].append(key)
doc = getattr(AUTOCommands,cmd).__doc__
if doc is not None:
outputString += " %-25s"%aliases
doc = doc.splitlines()
return_value[cmd]["description"] = doc[0]
outputString += doc[0]
outputString += "\n"
from . import interactiveBindings
execlist = [{'name' : 'auto', 'alias' : 'ex',
'fn' : interactiveBindings.AUTOInteractiveConsole.ex},
{'name' : 'demofile', 'alias' : 'dmf',
'fn' : interactiveBindings.AUTOInteractiveConsole.dmf}]
for cmdprop in execlist:
cmd = cmdprop['name']
return_value[cmd] = {}
return_value[cmd]["aliases"] = [cmd,cmdprop['alias']]
aliases = cmd + " " + cmdprop['alias']
doc = cmdprop["fn"].__doc__
outputString += " %-25s"%aliases
doc = doc.splitlines()
return_value[cmd]["description"] = doc[0]
outputString += doc[0]
outputString += "\n"
outputString += "\n"
else:
# If we were created with the nonempty string return a formatted
# reference for the given command as the string and a
# dictionary containing information about the command as the data.
# The dictionary has 3 entries:
# "name" the full name of the command
# "aliases" a list of all of the aliases of the command
# "description" a long description of the command
try:
doc = getattr(AUTOCommands,command_string).__doc__
return_value["name"] = command_string
except:
doc = getattr(AUTOCommands,_aliases[command_string]).__doc__
return_value["name"] = _aliases[command_string]
doc = doc.replace("FUNC",command_string)
return_value["short description"] = doc.splitlines()[0]
return_value["long description"] = "\n".join(doc.split("\n")[1:])
# Get rid of the LaTeX stuff from the string that gets returned, but
# NOT from the data portion
doc = doc.replace("\\begin{verbatim}","")
doc = doc.replace("\\end{verbatim}","")
doc = doc + "\n"
if not command_string in command_list:
# This means help was asked for an alias
for cmd in _aliases:
if command_string in _aliases[cmd]:
command_string = cmd
break
doc = doc + "Command name: "+command_string+"\n"
return_value["aliases"] = []
doc = doc + "Aliases: "
if command_string in _aliases:
for key in _aliases[command_string]:
doc = doc + key + " "
return_value["aliases"].append(key)
outputString += doc+"\n"
info(outputString)
return return_value
commandHelp = command(autohelp)
# This is just a little wrapper around commandHelp which discards the
# data portion of the return. This is because, for the
# interactive command line we don't want it to print out.
def man(command_string=""):
"""Get help on the AUTO commands.
Type 'FUNC' to list all commands with a online help.
Type 'FUNC xxx' to get help for command 'xxx'.
"""
autohelp(command_string)
commandInteractiveHelp = command(man)
##################################################
# GUI commands
##################################################
def printFunc(printFnc,text):
printFnc(text)
info(text)
commandPrintFunc = command(printFunc)
# FIXME: This is not done!!
def gui(type="simple"):
"""Show AUTOs graphical user interface.
Type FUNC() to start AUTOs graphical user interface.
NOTE: This command is not implemented yet.
"""
try:
from tkinter import Tk
except ImportError:
from tkinter import Tk # Python 3
from .graphics import AUTOgui
# Get rid of the initial window
root = Tk()
root.withdraw()
guic = AUTOgui.AUTOgui(type)
info("GUI created\n")
return guic
commandCreateGUI = command(gui)
# Not ready yet
## def commandRunGeneralGUI(runner):
## tkSimple
## first = commandSetupGeneralRun(eq_name,saved_data,parameter_name)
## second = commandRunnerConfig(runner,makefile="$AUTO_DIR/cmds/cmds.make")
## third = commandRunMakefile(runner,"EQUATION_NAME=%s"%(eq_name))
## return commandMacro((first,second,third))
## commandRunGeneralGUI = command(generalGUI)
############################################
# High level functions
############################################
def splabs(s,typename,templates=None):
"""Return special labels
Type FUNC('xxx',typename) to get a list of labels with the specified
typename, where typename can be one of
'EP', 'MX', 'BP', 'LP', 'UZ', 'HB', 'PD', 'TR', or 'RG'.
This is equivalent to the command
load('xxx')(typename)
which gives a list of the solutions themselves;
load('xxx')(typename).getLabels()
returns the list of labels.
Or use FUNC(s,typename) where s is a parsed solution from sl().
This is equivalent to the command
s(typename).getLabels()
"""
labels = []
for solution in sl(s,templates=templates):
if solution['Type name'] == typename:
labels.append(solution['Label'])
return labels
commandSpecialPointLabels = command(splabs)
############################################
# Testing stuff
############################################
def test():
from . import runAUTO
import sys
def printfunc(text):
stdout.write(text+"\n")
stdout = sys.stdout
f = StringIO()
def getinfo(s):
f.write(s)
def noinfo(s):
pass
global info
runner = runAUTO.runAUTO(
makefile="",
demos_dir=os.path.join(os.environ["AUTO_DIR"],"python"))
clean = commandRunDemo("wav","clean",runner)
first = commandRunDemo("wav","first",runner)
second = commandRunDemo("wav","second",runner)
tmacro = commandMacro((clean,first,first))
printer = commandPrintFunc(printfunc,"Hello World")
quiet = commandRunnerConfig(runner,log=f)
verbose = commandRunnerConfig(runner,log=None)
changedir = commandCd("wav",runner)
constants = commandParseConstantsFile("wav")
changeup = commandCd("..",runner)
verbose()
clean()
first()
tmacro()
quiet()
second()
stdout.write(f.getvalue()+"\n")
printer()
verbose()
clean()
changedir()
constants()
changeup()
if __name__ == "__main__":
test()
|
py | 1a4aa35fee0aee9020cfc0ff5c0cfe0c20093dc1 | '''
Created on 5/9/2014
@author: victor
'''
import unittest
from pyproct.data.handler.dataHandler import DataHandler
from pyproct.data.handler.test.TestDataLoader import FakeFileLoader
class DataHandlerMock(DataHandler):
def get_loader(self, data_type):
return FakeFileLoader
class FakeSourceGenerator():
def __init__(self, source_list):
self.source_list = source_list
class TestDataHandler(unittest.TestCase):
def test_data_handler(self):
dh = DataHandlerMock({
"type":"any", # As our loader is hardcoded it must not check the data type
# availability
"files":[(1,5), (6,9)]
}, source_generator_class = FakeSourceGenerator)
# We check we have all the elements
self.assertEqual([0, 1, 2, 3, 4, 5, 6, 7, 8],
list(dh.get_all_elements()))
# Then we check we can get their sources
self.assertTupleEqual( dh.get_source_of_element(3), (1, 5)) # Element 3 is datum(3) == 4
self.assertTupleEqual( dh.get_source_of_element(4), (1, 5)) # Element 4 is datum(4) == 5
self.assertTupleEqual( dh.get_source_of_element(5), (6, 9)) # Element 5 is datum(5) == 6
self.assertTupleEqual( dh.get_source_of_element(7), (6, 9)) # Element 7 is datum(7) == 8
if __name__ == "__main__":
#import sys;sys.argv = ['', 'Test.testName']
unittest.main() |
py | 1a4aa47f49066d0ae726e49e0135bdff270894ca | class Pass(object):
def __init__(self, name):
self.name = name
def __repr__(self):
return "<pass name=%s>" % self.name
PassListId = 0
class PassList(object):
def __init__(self, transforms):
global PassListId
self.pass_id = PassListId
PassListId += 1
self.transforms = transforms
def __repr__(self):
return "<passlist id=%s values=%s>" % (self.pass_id, self.transforms)
def __iter__(self):
return self.transforms.__iter__()
def addPass(self, p):
if isinstance(p, list):
p = PassList(p)
self.transforms.append(p)
def generate(self):
stack = list(reversed(self.transforms))
result = []
while stack:
transform = stack.pop()
if isinstance(transform, Pass):
result.append(transform.name)
continue
for child in reversed(list(transform)):
stack.append(child)
return result
class PassPipeline(object):
def __init__(self, identifier, action):
self.identifier = identifier
self.action = action
self.pass_list = PassList([])
def addPass(self, p):
self.pass_list.addPass(p)
def __repr__(self):
return "<passpipeline values=%s>" % self.pass_list
def generate(self):
x = [self.identifier, self.action['name'], self.action.get('count', 0)]
x.extend(self.pass_list.generate())
return x
|
py | 1a4aa49740cfe22d9681aac82d8762ef057798c9 | import string
from time import sleep
from loguru import logger
from tacticalrmm.celery import app
from django.conf import settings
from agents.models import Agent
from .models import ChocoSoftware, ChocoLog, InstalledSoftware
logger.configure(**settings.LOG_CONFIG)
@app.task()
def install_chocolatey(pk, wait=False):
if wait:
sleep(15)
agent = Agent.objects.get(pk=pk)
r = agent.salt_api_cmd(timeout=120, func="chocolatey.bootstrap", arg="force=True")
if r == "timeout" or r == "error":
logger.error(f"failed to install choco on {agent.salt_id}")
return
try:
output = r.lower()
except Exception as e:
logger.error(f"failed to install choco on {agent.salt_id}: {e}")
return
success = ["chocolatey", "is", "now", "ready"]
if all(x in output for x in success):
agent.choco_installed = True
agent.save(update_fields=["choco_installed"])
logger.info(f"Installed chocolatey on {agent.salt_id}")
return "ok"
else:
logger.error(f"failed to install choco on {agent.salt_id}")
return
@app.task
def update_chocos():
agents = Agent.objects.only("pk")
online = [x for x in agents if x.status == "online" and x.choco_installed]
while 1:
for agent in online:
r = agent.salt_api_cmd(timeout=10, func="test.ping")
if r == "timeout" or r == "error" or (isinstance(r, bool) and not r):
continue
if isinstance(r, bool) and r:
ret = agent.salt_api_cmd(timeout=200, func="chocolatey.list")
if ret == "timeout" or ret == "error":
continue
try:
chocos = [{"name": k, "version": v[0]} for k, v in ret.items()]
except AttributeError:
continue
else:
# somtimes chocolatey api is down or buggy and doesn't return the full list of software
if len(chocos) < 4000:
continue
else:
logger.info(f"Chocos were updated using {agent.salt_id}")
ChocoSoftware(chocos=chocos).save()
break
break
return "ok"
@app.task
def get_installed_software(pk):
agent = Agent.objects.get(pk=pk)
r = agent.salt_api_cmd(timeout=30, func="pkg.list_pkgs")
if r == "timeout" or r == "error":
logger.error(f"Timed out trying to get installed software on {agent.salt_id}")
return
printable = set(string.printable)
try:
software = [
{
"name": "".join(filter(lambda x: x in printable, k)),
"version": "".join(filter(lambda x: x in printable, v)),
}
for k, v in r.items()
]
except Exception as e:
logger.error(f"Unable to get installed software on {agent.salt_id}: {e}")
return
if not InstalledSoftware.objects.filter(agent=agent).exists():
InstalledSoftware(agent=agent, software=software).save()
else:
s = agent.installedsoftware_set.get()
s.software = software
s.save(update_fields=["software"])
return "ok"
@app.task
def install_program(pk, name, version):
agent = Agent.objects.get(pk=pk)
r = agent.salt_api_cmd(
timeout=900, func="chocolatey.install", arg=[name, f"version={version}"],
)
if r == "timeout" or r == "error":
logger.error(f"Failed to install {name} {version} on {agent.salt_id}: timeout")
return
try:
output = r.lower()
except Exception as e:
logger.error(f"Failed to install {name} {version} on {agent.salt_id}: {e}")
return
success = [
"install",
"of",
name.lower(),
"was",
"successful",
"installed",
]
duplicate = [name.lower(), "already", "installed", "--force", "reinstall"]
installed = False
if all(x in output for x in success):
installed = True
logger.info(f"Successfully installed {name} {version} on {agent.salt_id}")
elif all(x in output for x in duplicate):
logger.warning(f"Already installed: {name} {version} on {agent.salt_id}")
else:
logger.error(f"Something went wrong - {name} {version} on {agent.salt_id}")
ChocoLog(
agent=agent, name=name, version=version, message=output, installed=installed
).save()
get_installed_software.delay(agent.pk)
return "ok"
|
py | 1a4aa5f437e2a7e5bdfbdf2fb5b05bfd83468944 | nome = str(input('Qual é seu nome completo? '))
print('Seu nome tem Silva! {} '.format('silva' in nome.lower()))
|
py | 1a4aa6b247f301249d235ea2f7c38519b579743b | from mythic_c2_container.C2ProfileBase import *
import sys
# request is a dictionary: {"action": func_name, "message": "the input", "task_id": task id num}
# must return an RPCResponse() object and set .status to an instance of RPCStatus and response to str of message
async def test(request):
response = RPCResponse()
response.status = RPCStatus.Success
response.response = "hello"
#resp = await MythicCallbackRPC.MythicCallbackRPC().add_event_message(message="got a POST message")
return response
# The opsec function is called when a payload is created as a check to see if the parameters supplied are good
# The input for "request" is a dictionary of:
# {
# "action": "opsec",
# "parameters": {
# "param_name": "param_value",
# "param_name2: "param_value2",
# }
# }
# This function should return one of two things:
# For success: {"status": "success", "message": "your success message here" }
# For error: {"status": "error", "error": "your error message here" }
async def opsec(request):
return {"status": "success", "message": "No OPSEC Check Performed"} |
py | 1a4aa7c04dcd94ecd88293e77a80fabb7ef296a9 | import re
_R = re.compile(r"^([0-9]*)-([0-9]*) ([a-zA-Z]): (.*)$")
def _parse_in(line):
r = _R.search(line)
grp = r.groups()
return int(grp[0]), int(grp[1]), grp[2], grp[3]
def transform_input_list(inp):
r = []
for line in inp:
r.append(_parse_in(line))
return r
def stage_1(inp):
nb_ok_pass = 0
for min, max, let, pss in inp:
nb_oc = len(re.findall(let, pss))
if not (nb_oc < min or nb_oc > max):
nb_ok_pass = nb_ok_pass + 1
return nb_ok_pass
def stage_2(inp):
nb_ok_pass = 0
for p1, p2, let, pss in inp:
if (pss[p1 - 1] == let and pss[p2 - 1] != let) or (
pss[p1 - 1] != let and pss[p2 - 1] == let
):
nb_ok_pass = nb_ok_pass + 1
return nb_ok_pass
def solve(inp):
inp = transform_input_list(inp)
return stage_1(inp), stage_2(inp)
|
py | 1a4aa98494f7fbe1c652f8d5a291ad3055e13548 | #!/usr/bin/python
# -*- coding: utf-8 -*-
from django_cron import cronScheduler, Job
from runapp import deleteOrphanJobs
class deleteOrphans(Job):
run_every = 4000
def job(self):
deleteOrphanJobs()
cronScheduler.register(deleteOrphans)
|
py | 1a4aa9dcf136ea802150c9104b0570d976168017 | # Generated by Django 3.0.7 on 2020-06-07 18:16
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('projects', '0009_auto_20200607_1515'),
]
operations = [
migrations.AddField(
model_name='project',
name='average_score',
field=models.FloatField(default=0),
),
]
|
py | 1a4aaa9d53b42c6c4d324c36309897da49fbe185 | import os.path
import sys
import tqdm
import pathlib
import cv2 as cv
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models as models
import xml.etree.ElementTree as ET
from torchvision import ops
from torchvision import transforms
from torch.utils.data import Dataset, DataLoader
from PIL import Image
POS_ANCHOR_LABEL = 1
NEG_ANCHOR_LABEL = 0
INVALID_ANCHOR_LABEL = -1
class RegionProposalNetwork(nn.Module):
def __init__(self, n_anchors, n_inter_channels=256):
super().__init__()
pretrained_model = models.mobilenet_v2(pretrained=True)
for param in pretrained_model.parameters():
param.requires_grad = False
self.backbone = nn.Sequential(*pretrained_model.features[0:7])
self.conv_inter = nn.Conv2d(32, n_inter_channels, 3, padding=1)
self.relu = nn.ReLU(inplace=True)
self.conv_reg = nn.Conv2d(n_inter_channels, 4 * n_anchors, 1)
self.conv_cls = nn.Conv2d(n_inter_channels, 2 * n_anchors, 1)
def forward(self, x):
x = self.backbone(x)
x = self.conv_inter(x)
x = self.relu(x)
pred_reg = self.conv_reg(x)
pred_cls = self.conv_cls(x)
batch_size = x.shape[0]
pred_reg = pred_reg.permute(0, 2, 3, 1).reshape(batch_size, -1, 4)
pred_cls = pred_cls.permute(0, 2, 3, 1).reshape(batch_size, -1, 2)
return pred_reg, pred_cls
def _get_rand_sub_selector(selector, indices, n_vals):
rand_perm = torch.randperm(len(indices))[:n_vals]
subset_indices = indices[rand_perm]
subset_selector = torch.full_like(selector, False)
subset_selector[subset_indices] = True
return subset_selector
def _rpn_cls_loss(pred_cls, cls_labels, pos_selector, neg_selector):
pred_cls_pos = pred_cls[pos_selector]
pred_cls_neg = pred_cls[neg_selector]
cls_loss_pos = F.cross_entropy(
pred_cls_pos, cls_labels[pos_selector], reduction='sum')
cls_loss_neg = F.cross_entropy(
pred_cls_neg, cls_labels[neg_selector], reduction='sum')
n_valid = pred_cls_pos.numel() + pred_cls_neg.numel()
cls_loss = (cls_loss_pos + cls_loss_neg) / n_valid
return cls_loss
def _rpn_reg_loss(pred_reg, reg_targets, pos_selector):
pred_reg_valid = pred_reg[pos_selector]
if len(pred_reg_valid) == 0:
return 0
reg_targets_valid = reg_targets[pos_selector]
reg_loss = F.smooth_l1_loss(pred_reg_valid, reg_targets_valid)
return reg_loss
class RPNClsAndRegLoss(nn.Module):
def __init__(self, n_pos_samples=32, n_neg_samples=32, reg_balance=0.5):
super().__init__()
self.n_pos_samples = n_pos_samples
self.n_neg_samples = n_neg_samples
assert 0 < reg_balance < 1
self.reg_balance = reg_balance
def forward(self, pred_reg, pred_cls, reg_targets, cls_labels):
pos_selector = (cls_labels == POS_ANCHOR_LABEL)
neg_selector = (cls_labels == NEG_ANCHOR_LABEL)
pos_indices = torch.where(pos_selector)[0]
neg_indices = torch.where(neg_selector)[0]
n_pos_found = len(pos_indices)
n_neg_found = len(neg_indices)
n_pos_subset = min(self.n_pos_samples, n_pos_found)
n_pos_missing = max(self.n_pos_samples - n_pos_found, 0)
n_neg_subset = min(self.n_neg_samples + n_pos_missing, n_neg_found)
pos_subset_selector = _get_rand_sub_selector(
pos_selector, pos_indices, n_pos_subset)
neg_subset_selector = _get_rand_sub_selector(
neg_selector, neg_indices, n_neg_subset)
cls_loss = _rpn_cls_loss(
pred_cls, cls_labels, pos_subset_selector, neg_subset_selector)
reg_loss = _rpn_reg_loss(pred_reg, reg_targets, pos_subset_selector)
loss = (self.reg_balance * reg_loss +
(1 - self.reg_balance) * cls_loss)
return loss
def generate_anchors(scales, ratios, response_size, total_stride):
n_response_cells = response_size ** 2
n_anchors = len(scales) * len(ratios)
feature_cell_size = total_stride * total_stride
widths = torch.sqrt(feature_cell_size * ratios)
heights = widths / ratios
widths_scaled = torch.outer(scales, widths).flatten()
heights_scaled = torch.outer(scales, heights).flatten()
widths_scaled = torch.tile(widths_scaled, (n_response_cells,))
heights_scaled = torch.tile(heights_scaled, (n_response_cells,))
coords = torch.arange(response_size) * total_stride
centers = coords + (total_stride / 2)
xs, ys = torch.meshgrid(centers, centers)
xs = torch.tile(xs.flatten(), (n_anchors,))
ys = torch.tile(ys.flatten(), (n_anchors,))
anchors = torch.vstack((xs, ys, widths_scaled, heights_scaled)).squeeze().T
return anchors
class RPNTargetBuilder:
def __init__(
self, anchors, img_width, img_height, pos_thresh=0.5,
neg_thresh=0.2):
self.pos_thresh = pos_thresh
self.neg_thresh = neg_thresh
self.anchors = anchors
self.anchors_xyxy = ops.box_convert(anchors, 'cxcywh', 'xyxy') # [A, 4]
self.valid_anchors_selector = (
(self.anchors_xyxy[:, 0] >= 0) &
(self.anchors_xyxy[:, 1] >= 0) &
(self.anchors_xyxy[:, 2] < img_width) &
(self.anchors_xyxy[:, 3] < img_height))
def build_reg_and_cls_targets(self, boxes):
boxes_xyxy = ops.box_convert(boxes, 'cxcywh', 'xyxy') # [B, 4]
iou_dist = ops.box_iou(self.anchors_xyxy, boxes_xyxy) # [A, B]
closest_box_indices = torch.argmax(iou_dist, dim=1) # [A, 1]
target_boxes = boxes[closest_box_indices] # [A, 4]
# Both [A, 2]
xy_targets = (
(target_boxes[..., :2] - self.anchors[..., :2]) /
self.anchors[..., 2:])
wh_targets = torch.log(target_boxes[..., 2:] / self.anchors[..., 2:])
reg_target = torch.hstack((xy_targets, wh_targets)) # [A, 4]
pos_selector = torch.any(iou_dist > self.pos_thresh, dim=1) # [A,]
neg_selector = torch.all(iou_dist < self.neg_thresh, dim=1) # [A,]
valid_pos_selector = pos_selector & self.valid_anchors_selector # [A,]
valid_neg_selector = neg_selector & self.valid_anchors_selector # [A,]
cls_target = torch.full(
(len(self.anchors),), INVALID_ANCHOR_LABEL,
device=boxes.device) # [A,]
cls_target[valid_pos_selector] = POS_ANCHOR_LABEL # [A,]
cls_target[valid_neg_selector] = NEG_ANCHOR_LABEL # [A,]
return reg_target, cls_target
def read_img_with_boxes(imgs_dir, anno_file):
tree = ET.parse(str(anno_file))
root = tree.getroot()
img_file_name = root.find("filename").text
img = Image.open(str(imgs_dir / img_file_name))
if img.mode in ('L', 'RGBA'):
img = img.convert('RGB')
box_elems = ("xmin", "ymin", "xmax", "ymax")
boxes = []
for box in root.findall(".//bndbox"):
box = [int(box.find(elem).text) for elem in box_elems]
boxes.append(box)
boxes = ops.box_convert(torch.tensor(boxes), 'xyxy', 'cxcywh')
return img, boxes
class ImgAndBoxesSyncResize:
def __init__(self, target_width, target_height, resample=Image.BICUBIC):
self.target_width = target_width
self.target_height = target_height
self.resample = resample
def __call__(self, img, boxes):
img_resized = img.resize(
(self.target_width, self.target_height), self.resample)
width_scale = self.target_width / img.size[0]
height_scale = self.target_height / img.size[1]
scale = torch.tensor(
((width_scale, height_scale, width_scale, height_scale),))
boxes_resized = boxes * scale
return img_resized, boxes_resized
class RoadSignDetectionDataset(Dataset):
def __init__(
self, root_dir_path, img_transforms=None,
img_boxes_transforms=None):
self.img_transforms = img_transforms
self.img_boxes_transforms = img_boxes_transforms
self.imgs = []
self.boxes = []
self._read_dataset(root_dir_path)
def __getitem__(self, item):
img = self.imgs[item]
boxes = self.boxes[item]
if self.img_boxes_transforms:
img, boxes = self.img_boxes_transforms(img, boxes)
if self.img_transforms:
img = self.img_transforms(img)
return img, boxes
def __len__(self):
return len(self.imgs)
def _read_dataset(self, root_dir_path):
root_dir = pathlib.Path(root_dir_path)
annos_dir = root_dir / "annotations"
imgs_dir = root_dir / "images"
for anno_file in annos_dir.rglob("road*.xml"):
img, boxes = read_img_with_boxes(imgs_dir, anno_file)
self.imgs.append(img)
self.boxes.append(boxes)
if __name__ == '__main__':
device = torch.device('cuda')
pin_memory = True
root_dir_path = "../../../datasets/road_sign_detection"
response_size = 28
total_stride = 8
img_size = 224
scales = torch.tensor((4.0, 8.0, 16.0))
ratios = torch.tensor((0.5, 1.0, 2.0))
n_anchors = len(scales) * len(ratios)
n_epochs = 100
anchors = generate_anchors(
scales, ratios, response_size, total_stride).to(device)
rpn = RegionProposalNetwork(n_anchors).to(device)
criterion = RPNClsAndRegLoss().to(device)
target_builder = RPNTargetBuilder(anchors, img_size, img_size)
optimizer = torch.optim.Adam(rpn.parameters(), lr=1.e-3)
img = torch.zeros((1, 3, 224, 224)).to(device)
rpn(img)
normalize = transforms.Normalize(
mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225))
img_transforms = transforms.Compose((
transforms.ToTensor(), normalize,))
img_boxes_transforms = ImgAndBoxesSyncResize(img_size, img_size)
dataset = RoadSignDetectionDataset(
root_dir_path, img_transforms, img_boxes_transforms)
n_workers = 1
train_loader = DataLoader(
dataset, batch_size=1, shuffle=True, num_workers=n_workers,
pin_memory=pin_memory)
def run_epoch(epoch, device, backward=True):
rpn.train(backward)
losses_sum = 0.0
n_batches = len(dataset)
mode_text = "train" if backward else "valid"
epoch_text = f"[{mode_text}] epoch: {epoch:3d}/{n_epochs}"
tqdm_bar = tqdm.tqdm(total=n_batches, file=sys.stdout)
with torch.set_grad_enabled(backward), tqdm_bar as pbar:
for batch, (img, boxes) in enumerate(train_loader, start=1):
img = img.to(device)
boxes = boxes.to(device).squeeze(dim=0) # Remove batch dim.
pred_reg, pred_cls = rpn(img)
pred_reg = pred_reg.squeeze()
pred_cls = pred_cls.squeeze()
reg_target, cls_target =\
target_builder.build_reg_and_cls_targets(boxes)
loss = criterion(pred_reg, pred_cls, reg_target, cls_target)
if backward:
optimizer.zero_grad()
loss.backward()
optimizer.step()
curr_loss = loss.item()
losses_sum += curr_loss
curr_batch_loss = losses_sum / batch
loss_text = f"loss: {curr_loss:.5f} ({curr_batch_loss:.5f})"
pbar.set_description(f"{epoch_text} | {loss_text}")
pbar.update()
batch_loss = losses_sum / n_batches
return batch_loss
for epoch in range(1, n_epochs + 1):
run_epoch(epoch, device)
checkpoint_file_path = "../rpn_checkpoint.pth"
checkpoint = rpn.state_dict()
torch.save(checkpoint, checkpoint_file_path)
|
py | 1a4aab09639855b044c8656c90642c5668e9ed03 | #
# Copyright (C) 2008 The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import print_function
import copy
import re
import sys
from command import InteractiveCommand
from editor import Editor
from error import HookError, UploadError
from git_command import GitCommand
from project import RepoHook
from pyversion import is_python3
# pylint:disable=W0622
if not is_python3():
input = raw_input
else:
unicode = str
# pylint:enable=W0622
UNUSUAL_COMMIT_THRESHOLD = 1000
def _ConfirmManyUploads(multiple_branches=False):
if multiple_branches:
print('ATTENTION: One or more branches has an unusually high number '
'of commits.')
else:
print('ATTENTION: You are uploading an unusually high number of commits.')
print('YOU PROBABLY DO NOT MEAN TO DO THIS. (Did you rebase across '
'branches?)')
answer = input("If you are sure you intend to do this, type 'yes': ").strip()
return answer == "yes"
def _die(fmt, *args):
msg = fmt % args
print('error: %s' % msg, file=sys.stderr)
sys.exit(1)
def _SplitEmails(values):
result = []
for value in values:
result.extend([s.strip() for s in value.split(',')])
return result
class Upload(InteractiveCommand):
common = True
helpSummary = "Upload changes for code review"
helpUsage = """
%prog [--re --cc] [<project>]...
"""
helpDescription = """
The '%prog' command is used to send changes to the Gerrit Code
Review system. It searches for topic branches in local projects
that have not yet been published for review. If multiple topic
branches are found, '%prog' opens an editor to allow the user to
select which branches to upload.
'%prog' searches for uploadable changes in all projects listed at
the command line. Projects can be specified either by name, or by
a relative or absolute path to the project's local directory. If no
projects are specified, '%prog' will search for uploadable changes
in all projects listed in the manifest.
If the --reviewers or --cc options are passed, those emails are
added to the respective list of users, and emails are sent to any
new users. Users passed as --reviewers must already be registered
with the code review system, or the upload will fail.
Configuration
-------------
review.URL.autoupload:
To disable the "Upload ... (y/N)?" prompt, you can set a per-project
or global Git configuration option. If review.URL.autoupload is set
to "true" then repo will assume you always answer "y" at the prompt,
and will not prompt you further. If it is set to "false" then repo
will assume you always answer "n", and will abort.
review.URL.autoreviewer:
To automatically append a user or mailing list to reviews, you can set
a per-project or global Git option to do so.
review.URL.autocopy:
To automatically copy a user or mailing list to all uploaded reviews,
you can set a per-project or global Git option to do so. Specifically,
review.URL.autocopy can be set to a comma separated list of reviewers
who you always want copied on all uploads with a non-empty --re
argument.
review.URL.username:
Override the username used to connect to Gerrit Code Review.
By default the local part of the email address is used.
The URL must match the review URL listed in the manifest XML file,
or in the .git/config within the project. For example:
[remote "origin"]
url = git://git.example.com/project.git
review = http://review.example.com/
[review "http://review.example.com/"]
autoupload = true
autocopy = [email protected],[email protected]
review.URL.uploadtopic:
To add a topic branch whenever uploading a commit, you can set a
per-project or global Git option to do so. If review.URL.uploadtopic
is set to "true" then repo will assume you always want the equivalent
of the -t option to the repo command. If unset or set to "false" then
repo will make use of only the command line option.
References
----------
Gerrit Code Review: http://code.google.com/p/gerrit/
"""
def _Options(self, p):
p.add_option('-t',
dest='auto_topic', action='store_true',
help='Send local branch name to Gerrit Code Review')
p.add_option('--re', '--reviewers',
type='string', action='append', dest='reviewers',
help='Request reviews from these people.')
p.add_option('--cc',
type='string', action='append', dest='cc',
help='Also send email to these email addresses.')
p.add_option('--br',
type='string', action='store', dest='branch',
help='Branch to upload.')
p.add_option('--cbr', '--current-branch',
dest='current_branch', action='store_true',
help='Upload current git branch.')
p.add_option('-d', '--draft',
action='store_true', dest='draft', default=False,
help='If specified, upload as a draft.')
p.add_option('-D', '--destination', '--dest',
type='string', action='store', dest='dest_branch',
metavar='BRANCH',
help='Submit for review on this target branch.')
# Options relating to upload hook. Note that verify and no-verify are NOT
# opposites of each other, which is why they store to different locations.
# We are using them to match 'git commit' syntax.
#
# Combinations:
# - no-verify=False, verify=False (DEFAULT):
# If stdout is a tty, can prompt about running upload hooks if needed.
# If user denies running hooks, the upload is cancelled. If stdout is
# not a tty and we would need to prompt about upload hooks, upload is
# cancelled.
# - no-verify=False, verify=True:
# Always run upload hooks with no prompt.
# - no-verify=True, verify=False:
# Never run upload hooks, but upload anyway (AKA bypass hooks).
# - no-verify=True, verify=True:
# Invalid
p.add_option('--no-verify',
dest='bypass_hooks', action='store_true',
help='Do not run the upload hook.')
p.add_option('--verify',
dest='allow_all_hooks', action='store_true',
help='Run the upload hook without prompting.')
def _SingleBranch(self, opt, branch, people):
project = branch.project
name = branch.name
remote = project.GetBranch(name).remote
key = 'review.%s.autoupload' % remote.review
answer = project.config.GetBoolean(key)
if answer is False:
_die("upload blocked by %s = false" % key)
if answer is None:
date = branch.date
commit_list = branch.commits
destination = opt.dest_branch or project.dest_branch or project.revisionExpr
print('Upload project %s/ to remote branch %s:' % (project.relpath, destination))
print(' branch %s (%2d commit%s, %s):' % (
name,
len(commit_list),
len(commit_list) != 1 and 's' or '',
date))
for commit in commit_list:
print(' %s' % commit)
sys.stdout.write('to %s (y/N)? ' % remote.review)
answer = sys.stdin.readline().strip().lower()
answer = answer in ('y', 'yes', '1', 'true', 't')
if answer:
if len(branch.commits) > UNUSUAL_COMMIT_THRESHOLD:
answer = _ConfirmManyUploads()
if answer:
self._UploadAndReport(opt, [branch], people)
else:
_die("upload aborted by user")
def _MultipleBranches(self, opt, pending, people):
projects = {}
branches = {}
script = []
script.append('# Uncomment the branches to upload:')
for project, avail in pending:
script.append('#')
script.append('# project %s/:' % project.relpath)
b = {}
for branch in avail:
if branch is None:
continue
name = branch.name
date = branch.date
commit_list = branch.commits
if b:
script.append('#')
destination = opt.dest_branch or project.dest_branch or project.revisionExpr
script.append('# branch %s (%2d commit%s, %s) to remote branch %s:' % (
name,
len(commit_list),
len(commit_list) != 1 and 's' or '',
date,
destination))
for commit in commit_list:
script.append('# %s' % commit)
b[name] = branch
projects[project.relpath] = project
branches[project.name] = b
script.append('')
script = [ x.encode('utf-8')
if issubclass(type(x), unicode)
else x
for x in script ]
script = Editor.EditString("\n".join(script)).split("\n")
project_re = re.compile(r'^#?\s*project\s*([^\s]+)/:$')
branch_re = re.compile(r'^\s*branch\s*([^\s(]+)\s*\(.*')
project = None
todo = []
for line in script:
m = project_re.match(line)
if m:
name = m.group(1)
project = projects.get(name)
if not project:
_die('project %s not available for upload', name)
continue
m = branch_re.match(line)
if m:
name = m.group(1)
if not project:
_die('project for branch %s not in script', name)
branch = branches[project.name].get(name)
if not branch:
_die('branch %s not in %s', name, project.relpath)
todo.append(branch)
if not todo:
_die("nothing uncommented for upload")
many_commits = False
for branch in todo:
if len(branch.commits) > UNUSUAL_COMMIT_THRESHOLD:
many_commits = True
break
if many_commits:
if not _ConfirmManyUploads(multiple_branches=True):
_die("upload aborted by user")
self._UploadAndReport(opt, todo, people)
def _AppendAutoList(self, branch, people):
"""
Appends the list of reviewers in the git project's config.
Appends the list of users in the CC list in the git project's config if a
non-empty reviewer list was found.
"""
name = branch.name
project = branch.project
key = 'review.%s.autoreviewer' % project.GetBranch(name).remote.review
raw_list = project.config.GetString(key)
if not raw_list is None:
people[0].extend([entry.strip() for entry in raw_list.split(',')])
key = 'review.%s.autocopy' % project.GetBranch(name).remote.review
raw_list = project.config.GetString(key)
if not raw_list is None and len(people[0]) > 0:
people[1].extend([entry.strip() for entry in raw_list.split(',')])
def _FindGerritChange(self, branch):
last_pub = branch.project.WasPublished(branch.name)
if last_pub is None:
return ""
refs = branch.GetPublishedRefs()
try:
# refs/changes/XYZ/N --> XYZ
return refs.get(last_pub).split('/')[-2]
except (AttributeError, IndexError):
return ""
def _UploadAndReport(self, opt, todo, original_people):
have_errors = False
for branch in todo:
try:
people = copy.deepcopy(original_people)
self._AppendAutoList(branch, people)
# Check if there are local changes that may have been forgotten
changes = branch.project.UncommitedFiles()
if changes:
key = 'review.%s.autoupload' % branch.project.remote.review
answer = branch.project.config.GetBoolean(key)
# if they want to auto upload, let's not ask because it could be automated
if answer is None:
sys.stdout.write('Uncommitted changes in ' + branch.project.name)
sys.stdout.write(' (did you forget to amend?):\n')
sys.stdout.write('\n'.join(changes) + '\n')
sys.stdout.write('Continue uploading? (y/N) ')
a = sys.stdin.readline().strip().lower()
if a not in ('y', 'yes', 't', 'true', 'on'):
print("skipping upload", file=sys.stderr)
branch.uploaded = False
branch.error = 'User aborted'
continue
# Check if topic branches should be sent to the server during upload
if opt.auto_topic is not True:
key = 'review.%s.uploadtopic' % branch.project.remote.review
opt.auto_topic = branch.project.config.GetBoolean(key)
destination = opt.dest_branch or branch.project.dest_branch
# Make sure our local branch is not setup to track a different remote branch
merge_branch = self._GetMergeBranch(branch.project)
if destination:
full_dest = 'refs/heads/%s' % destination
if not opt.dest_branch and merge_branch and merge_branch != full_dest:
print('merge branch %s does not match destination branch %s'
% (merge_branch, full_dest))
print('skipping upload.')
print('Please use `--destination %s` if this is intentional'
% destination)
branch.uploaded = False
continue
branch.UploadForReview(people, auto_topic=opt.auto_topic, draft=opt.draft, dest_branch=destination)
branch.uploaded = True
except UploadError as e:
branch.error = e
branch.uploaded = False
have_errors = True
print(file=sys.stderr)
print('----------------------------------------------------------------------', file=sys.stderr)
if have_errors:
for branch in todo:
if not branch.uploaded:
if len(str(branch.error)) <= 30:
fmt = ' (%s)'
else:
fmt = '\n (%s)'
print(('[FAILED] %-15s %-15s' + fmt) % (
branch.project.relpath + '/', \
branch.name, \
str(branch.error)),
file=sys.stderr)
print()
for branch in todo:
if branch.uploaded:
print('[OK ] %-15s %s' % (
branch.project.relpath + '/',
branch.name),
file=sys.stderr)
if have_errors:
sys.exit(1)
def _GetMergeBranch(self, project):
p = GitCommand(project,
['rev-parse', '--abbrev-ref', 'HEAD'],
capture_stdout = True,
capture_stderr = True)
p.Wait()
local_branch = p.stdout.strip()
p = GitCommand(project,
['config', '--get', 'branch.%s.merge' % local_branch],
capture_stdout = True,
capture_stderr = True)
p.Wait()
merge_branch = p.stdout.strip()
return merge_branch
def Execute(self, opt, args):
project_list = self.GetProjects(args)
pending = []
reviewers = []
cc = []
branch = None
if opt.branch:
branch = opt.branch
for project in project_list:
if opt.current_branch:
cbr = project.CurrentBranch
up_branch = project.GetUploadableBranch(cbr)
if up_branch:
avail = [up_branch]
else:
avail = None
print('ERROR: Current branch (%s) not uploadable. '
'You may be able to type '
'"git branch --set-upstream-to m/master" to fix '
'your branch.' % str(cbr),
file=sys.stderr)
else:
avail = project.GetUploadableBranches(branch)
if avail:
pending.append((project, avail))
if pending and (not opt.bypass_hooks):
hook = RepoHook('pre-upload', self.manifest.repo_hooks_project,
self.manifest.topdir, abort_if_user_denies=True)
pending_proj_names = [project.name for (project, avail) in pending]
pending_worktrees = [project.worktree for (project, avail) in pending]
try:
hook.Run(opt.allow_all_hooks, project_list=pending_proj_names,
worktree_list=pending_worktrees)
except HookError as e:
print("ERROR: %s" % str(e), file=sys.stderr)
return
if opt.reviewers:
reviewers = _SplitEmails(opt.reviewers)
if opt.cc:
cc = _SplitEmails(opt.cc)
people = (reviewers, cc)
if not pending:
print("no branches ready for upload", file=sys.stderr)
elif len(pending) == 1 and len(pending[0][1]) == 1:
self._SingleBranch(opt, pending[0][1][0], people)
else:
self._MultipleBranches(opt, pending, people)
|
py | 1a4aab148971b8e54c1c7c03f906bbef2e27b71f | # Copyright 2022 Maximilien Le Clei.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import cv2
import numpy as np
import torch
def compute_padding(d_input):
padding = ()
for d in d_input[-1:0:-1]:
if d == 1:
padding += (1,1)
elif d == 2:
padding += (0,1)
else:
padding += (0,0)
return padding
def neg(tup):
return tuple(-x for x in tup)
def avg_pool(x, d):
_, _, h, w = x.shape
x = x.numpy()
x = x[0]
x = np.transpose(x, (1, 2, 0))
x = cv2.resize(x, (h//d, w//d), interpolation=cv2.INTER_AREA)
if x.ndim == 2:
x = x[:, :, None]
x = np.transpose(x, (2, 0, 1))
x = x[None, :, :, :]
x = torch.Tensor(x)
return x
def torch_cat(x, i):
for x_i in x:
x_i = x_i.numpy()
return torch.Tensor(np.concatenate(x, i)) |
py | 1a4aaba69747838f02a431e5486e88311e14443d | """Tests for the templatetags of the markdown_utils app."""
from django.test import TestCase
from ..templatetags import markdown_utils_tags as tags
class RenderMarkdownTestCase(TestCase):
"""Tests for the ``render_markdown`` assignment tag."""
longMessage = True
def test_tag(self):
result = tags.render_markdown('# Foobar')
self.assertEqual(result, '<h1>Foobar</h1>', msg=(
'Should render the given input correctly.'))
result = tags.render_markdown('Foobar\nBarfoo')
self.assertEqual(result, '<p>Foobar<br />\nBarfoo</p>', msg=(
'Should render the given input correctly.'))
|
py | 1a4aac3c9e754235a58496dbad5c8bbb44f99827 | """Measurements collection."""
from datetime import datetime, timedelta
from typing import Optional, cast
import pymongo
from pymongo.database import Database
from model.metric import Metric
from model.queries import get_attribute_type, get_measured_attribute
from server_utilities.functions import iso_timestamp, percentage
from server_utilities.type import MeasurementId, MetricId, Scale, Status, TargetType
def latest_measurement(database: Database, metric_uuid: MetricId):
"""Return the latest measurement."""
return database.measurements.find_one(filter={"metric_uuid": metric_uuid}, sort=[("start", pymongo.DESCENDING)])
def latest_successful_measurement(database: Database, metric_uuid: MetricId):
"""Return the latest successful measurement."""
return database.measurements.find_one(
filter={"metric_uuid": metric_uuid, "sources.value": {"$ne": None}}, sort=[("start", pymongo.DESCENDING)]
)
def recent_measurements_by_metric_uuid(database: Database, max_iso_timestamp: str = "", days=7):
"""Return all recent measurements."""
max_iso_timestamp = max_iso_timestamp or iso_timestamp()
min_iso_timestamp = (datetime.fromisoformat(max_iso_timestamp) - timedelta(days=days)).isoformat()
recent_measurements = database.measurements.find(
filter={"end": {"$gte": min_iso_timestamp}, "start": {"$lte": max_iso_timestamp}},
sort=[("start", pymongo.ASCENDING)],
projection={"_id": False, "sources.entities": False},
)
measurements_by_metric_uuid: dict[MetricId, list] = {}
for measurement in recent_measurements:
measurements_by_metric_uuid.setdefault(measurement["metric_uuid"], []).append(measurement)
return measurements_by_metric_uuid
def measurements_by_metric(
database: Database,
*metric_uuids: MetricId,
min_iso_timestamp: str = "",
max_iso_timestamp: str = "",
):
"""Return all measurements for one metric, without the entities, except for the most recent one."""
measurement_filter: dict = {"metric_uuid": {"$in": metric_uuids}}
if min_iso_timestamp:
measurement_filter["end"] = {"$gt": min_iso_timestamp}
if max_iso_timestamp:
measurement_filter["start"] = {"$lt": max_iso_timestamp}
latest_with_entities = database.measurements.find_one(
measurement_filter, sort=[("start", pymongo.DESCENDING)], projection={"_id": False}
)
if not latest_with_entities:
return []
all_measurements_without_entities = database.measurements.find(
measurement_filter, projection={"_id": False, "sources.entities": False}
)
return list(all_measurements_without_entities)[:-1] + [latest_with_entities]
def count_measurements(database: Database) -> int:
"""Return the number of measurements."""
return int(database.measurements.count_documents(filter={}))
def update_measurement_end(database: Database, measurement_id: MeasurementId):
"""Set the end date and time of the measurement to the current date and time."""
return database.measurements.update_one(filter={"_id": measurement_id}, update={"$set": {"end": iso_timestamp()}})
def insert_new_measurement(
database: Database, data_model, metric_data: dict, measurement: dict, previous_measurement: dict
) -> dict:
"""Insert a new measurement."""
if "_id" in measurement:
del measurement["_id"]
metric = Metric(data_model, metric_data)
metric_type = data_model["metrics"][metric.type()]
measurement["start"] = measurement["end"] = now = iso_timestamp()
for scale in metric_type["scales"]:
value = calculate_measurement_value(data_model, metric, measurement["sources"], scale)
status = metric.status(value)
measurement[scale] = dict(value=value, status=status, direction=metric.direction())
# We can't cover determine_status_start() returning False in the feature tests because all new measurements have
# a status start timestamp, hence the pragma: no cover-behave:
if status_start := determine_status_start(status, previous_measurement, scale, now): # pragma: no cover-behave
measurement[scale]["status_start"] = status_start
for target in ("target", "near_target", "debt_target"):
target_type = cast(TargetType, target)
measurement[scale][target] = determine_target_value(metric, measurement, scale, target_type)
database.measurements.insert_one(measurement)
del measurement["_id"]
return measurement
def calculate_measurement_value(data_model, metric: Metric, sources, scale: Scale) -> Optional[str]:
"""Calculate the measurement value from the source measurements."""
if not sources or any(source["parse_error"] or source["connection_error"] for source in sources):
return None
values = [int(source["value"]) - value_of_entities_to_ignore(data_model, metric, source) for source in sources]
add = metric.addition()
if scale == "percentage":
direction = metric.direction()
totals = [int(source["total"]) for source in sources]
if add is sum:
values, totals = [sum(values)], [sum(totals)]
values = [percentage(value, total, direction) for value, total in zip(values, totals)]
return str(add(values))
def value_of_entities_to_ignore(data_model, metric: Metric, source) -> int:
"""Return the value of ignored entities, i.e. entities marked as fixed, false positive or won't fix.
If the entities have a measured attribute, return the sum of the measured attributes of the ignored
entities, otherwise return the number of ignored attributes. For example, if the metric is the amount of ready
user story points, the source entities are user stories and the measured attribute is the amount of story
points of each user story.
"""
entities = source.get("entity_user_data", {}).items()
ignored_entities = [
entity[0] for entity in entities if entity[1].get("status") in ("fixed", "false_positive", "wont_fix")
]
source_type = metric.sources()[source["source_uuid"]]["type"]
if attribute := get_measured_attribute(data_model, metric.type(), source_type):
entity = data_model["sources"][source_type]["entities"].get(metric.type(), {})
attribute_type = get_attribute_type(entity, attribute)
convert = dict(float=float, integer=int, minutes=int)[attribute_type]
value = sum(convert(entity[attribute]) for entity in source["entities"] if entity["key"] in ignored_entities)
else:
value = len(ignored_entities)
return int(value)
def determine_status_start(
current_status: Optional[Status], previous_measurement: dict, scale: Scale, now: str
) -> Optional[str]:
"""Determine the date time since when the metric has the current status."""
if previous_measurement:
previous_status = previous_measurement.get(scale, {}).get("status")
if current_status == previous_status:
return str(previous_measurement.get(scale, {}).get("status_start", "")) or None
return now
def determine_target_value(metric: Metric, measurement: dict, scale: Scale, target: TargetType):
"""Determine the target, near target or debt target value."""
target_value = metric.get_target(target) if scale == metric.scale() else measurement.get(scale, {}).get(target)
return None if target == "debt_target" and metric.accept_debt_expired() else target_value
def changelog(database: Database, nr_changes: int, **uuids):
"""Return the changelog for the measurements belonging to the items with the specific uuids."""
return database.measurements.find(
filter={"delta.uuids": {"$in": list(uuids.values())}},
sort=[("start", pymongo.DESCENDING)],
limit=nr_changes,
projection=["delta", "start"],
)
|
py | 1a4aada8d88a43fbf57fa53cc0b261f0a91ad320 | # -*- coding: utf-8 -*-
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import Select
from selenium.common.exceptions import NoSuchElementException
from selenium.common.exceptions import NoAlertPresentException
import unittest, time, re
class UntitledTestCase(unittest.TestCase):
def setUp(self):
self.driver = webdriver.Firefox()
self.driver.implicitly_wait(30)
self.base_url = "https://www.katalon.com/"
self.verificationErrors = []
self.accept_next_alert = True
def test_untitled_test_case(self):
driver = self.driver
driver.get("http://localhost/addressbook/")
driver.find_element_by_name("user").clear()
driver.find_element_by_name("user").send_keys("admin")
driver.find_element_by_name("pass").click()
driver.find_element_by_name("pass").clear()
driver.find_element_by_name("pass").send_keys("secret")
driver.find_element_by_xpath(
"(.//*[normalize-space(text()) and normalize-space(.)='Password:'])[1]/following::input[2]").click()
driver.find_element_by_link_text("groups").click()
driver.find_element_by_name("new").click()
driver.find_element_by_name("group_name").click()
driver.find_element_by_name("group_name").clear()
driver.find_element_by_name("group_name").send_keys("test")
driver.find_element_by_name("group_header").click()
driver.find_element_by_name("group_header").clear()
driver.find_element_by_name("group_header").send_keys("test1")
driver.find_element_by_name("group_footer").click()
driver.find_element_by_name("group_footer").clear()
driver.find_element_by_name("group_footer").send_keys("test2")
driver.find_element_by_name("submit").click()
driver.find_element_by_link_text("group page").click()
driver.find_element_by_xpath(
"(.//*[normalize-space(text()) and normalize-space(.)='Groups'])[1]/following::span[1]").click()
driver.find_element_by_link_text("Logout").click()
def is_element_present(self, how, what):
try:
self.driver.find_element(by=how, value=what)
except NoSuchElementException as e:
return False
return True
def is_alert_present(self):
try:
self.driver.switch_to_alert()
except NoAlertPresentException as e:
return False
return True
def close_alert_and_get_its_text(self):
try:
alert = self.driver.switch_to_alert()
alert_text = alert.text
if self.accept_next_alert:
alert.accept()
else:
alert.dismiss()
return alert_text
finally:
self.accept_next_alert = True
def tearDown(self):
self.driver.quit()
self.assertEqual([], self.verificationErrors)
if __name__ == "__main__":
unittest.main()
|
py | 1a4aaed3e5419c127d5558c1465d74127d706059 | import os
import asyncio
from jina import __default_host__
from jina.importer import ImportExtensions
from jina.serve.runtimes.gateway import GatewayRuntime
from jina.serve.runtimes.gateway.http.app import get_fastapi_app
__all__ = ['HTTPGatewayRuntime']
class HTTPGatewayRuntime(GatewayRuntime):
"""Runtime for HTTP interface."""
async def async_setup(self):
"""
The async method setup the runtime.
Setup the uvicorn server.
"""
with ImportExtensions(required=True):
from uvicorn import Config, Server
class UviServer(Server):
"""The uvicorn server."""
async def setup(self, sockets=None):
"""
Setup uvicorn server.
:param sockets: sockets of server.
"""
config = self.config
if not config.loaded:
config.load()
self.lifespan = config.lifespan_class(config)
self.install_signal_handlers()
await self.startup(sockets=sockets)
if self.should_exit:
return
async def serve(self, **kwargs):
"""
Start the server.
:param kwargs: keyword arguments
"""
await self.main_loop()
from jina.helper import extend_rest_interface
uvicorn_kwargs = self.args.uvicorn_kwargs or {}
self._set_topology_graph()
self._set_connection_pool()
self._server = UviServer(
config=Config(
app=extend_rest_interface(
get_fastapi_app(
self.args,
topology_graph=self._topology_graph,
connection_pool=self._connection_pool,
logger=self.logger,
)
),
host=__default_host__,
port=self.args.port_expose,
log_level=os.getenv('JINA_LOG_LEVEL', 'error').lower(),
**uvicorn_kwargs
)
)
await self._server.setup()
async def async_run_forever(self):
"""Running method of ther server."""
self._connection_pool.start()
await self._server.serve()
async def _wait_for_cancel(self):
"""Do NOT override this method when inheriting from :class:`GatewayPod`"""
# handle terminate signals
while not self.is_cancel.is_set() and not self._server.should_exit:
await asyncio.sleep(0.1)
await self.async_cancel()
async def async_teardown(self):
"""Shutdown the server."""
await self._server.shutdown()
await self._connection_pool.close()
async def async_cancel(self):
"""Stop the server."""
self._server.should_exit = True
|
py | 1a4ab0124058ed7d8bd7f3ef7ce568eb1bdd6c9f | from .celery import app as celery_app
# this ensures that the celery app is loaded
# every time Django starts
__all__ = [
"celery_app",
]
|
py | 1a4ab027e08f8e945d5484a619a4da2d6a73504e | from multiprocessing.connection import wait
from bot import dp
from aiogram import types
from aiogram.dispatcher.storage import FSMContext
from filters import Main, IsOwner
from functions.client import cidSelect, getpasswordState, sidSelect, pidSelect, cnSelect, sftSelect, scidSelect, getloginState, schoolInfo
from states import addAccount
from utils.db import db
from callbacks import cb_account
from functions.sgo import ns_sessions
from netschoolapi import NetSchoolAPI
from utils.db.data import Account
@dp.callback_query_handler(Main(), cb_account.filter(action='login'), state='*')
async def select_login_handler(call: types.CallbackQuery, callback_data: dict, state=FSMContext):
await call.answer()
await getloginState(call.message, state)
@dp.callback_query_handler(Main(), cb_account.filter(action='select_scid'), state=addAccount.scid)
async def select_sft_handler(call: types.CallbackQuery, callback_data: dict, state=FSMContext):
await call.answer()
account = await Account.get_registerAccount(call.from_user.id)
ns = ns_sessions[account['id']]
ns._prelogin_data['scid'] = callback_data.get('value')
await Account.update(account['id'], **ns._prelogin_data)
await schoolInfo(call.message, account['id'])
@dp.callback_query_handler(Main(), cb_account.filter(action='select_sft'), state=[addAccount.sft, '*'])
async def select_sft_handler(call: types.CallbackQuery, callback_data: dict, state=FSMContext):
account = await Account.get_registerAccount(call.from_user.id)
ns = ns_sessions[account['id']]
ns._prelogin_data['sft'] = callback_data.get('value')
await Account.update(account['id'], **ns._prelogin_data)
await call.answer()
await scidSelect(call.message, account['id'])
@dp.callback_query_handler(Main(), cb_account.filter(action='select_cn'), state=addAccount.cn)
async def select_cn_handler(call: types.CallbackQuery, callback_data: dict, state=FSMContext):
account = await Account.get_registerAccount(call.from_user.id)
ns = ns_sessions[account['id']]
ns._prelogin_data['cn'] = callback_data.get('value')
await Account.update(account['id'], **ns._prelogin_data)
await call.answer()
await sftSelect(call.message, account['id'])
@dp.callback_query_handler(Main(), cb_account.filter(action='select_pid'), state=addAccount.pid)
async def select_pid_handler(call: types.CallbackQuery, callback_data: dict, state=FSMContext):
account = await Account.get_registerAccount(call.from_user.id)
ns = ns_sessions[account['id']]
ns._prelogin_data['pid'] = callback_data.get('value')
await Account.update(account['id'], **ns._prelogin_data)
await call.answer()
await cnSelect(call.message, account['id'])
@dp.callback_query_handler(Main(), cb_account.filter(action='select_sid'), state=addAccount.sid)
async def select_sid_handler(call: types.CallbackQuery, callback_data: dict, state=FSMContext):
account = await Account.get_registerAccount(call.from_user.id)
ns = ns_sessions[account['id']]
ns._prelogin_data['sid'] = callback_data.get('value')
await Account.update(account['id'], **ns._prelogin_data)
await call.answer()
await pidSelect(call.message, account['id'])
@dp.callback_query_handler(Main(), cb_account.filter(action='select_cid'), state=addAccount.cid)
async def select_cid_handler(call: types.CallbackQuery, callback_data: dict, state=FSMContext):
account = await Account.get_registerAccount(call.from_user.id, 'id')
ns = ns_sessions[account['id']]
ns._prelogin_data['cid'] = callback_data.get('value')
await Account.update(account['id'], **ns._prelogin_data)
await call.answer()
await sidSelect(call.message, account['id'])
@dp.callback_query_handler(Main(), cb_account.filter(action='add', value=''), state=[addAccount.url, addAccount.wait_url, '*'])
async def account_add(call: types.CallbackQuery, state=FSMContext):
# register_account = await Account.get_registerAccount(call.from_user.id)
# if register_account:
# for account in register_account:
# print(account)
# if not account:
# ...
await call.answer()
await addAccount.url.set()
regions = await db.executeall("SELECT * FROM regions ORDER BY users_count DESC NULLS LAST LIMIT 3")
if regions:
await nsSelect(call.message)
else:
async with state.proxy() as data:
data['message'] = call.message
await call.message.edit_text("📎 Введите ссылку на ваш СГО")
await addAccount.wait_url.set()
@dp.callback_query_handler(Main(), cb_account.filter(action='region_select'), state=['*'])
async def regionSelect(call: types.CallbackQuery, callback_data: dict):
region = await db.execute("SELECT url FROM regions WHERE id = %s", [callback_data['value']])
account = await Account.add(call.from_user.id, region[0])
await addAccount.cid.set()
ns_sessions[account['id']] = NetSchoolAPI(region[0])
await cidSelect(account['id'], call.message)
async def nsSelect(message: types.Message):
regions = await db.executeall("SELECT * FROM regions ORDER BY users_count DESC NULLS LAST LIMIT 3")
markup = types.InlineKeyboardMarkup()
button_loc = types.InlineKeyboardButton(
"📍 Определить регион", callback_data=cb_account.new(action='geo', value=''))
button_custom = types.InlineKeyboardButton(
"✏️ Ввести свою ссылку", callback_data=cb_account.new(action='url', value=''))
markup.row(button_loc, button_custom)
for x in regions:
markup.add(types.InlineKeyboardButton(
x[1], callback_data=cb_account.new(action='region_select', value=str(x[0]))))
text = "🏙 Выбрите город или другой метод добавления Сетевого Города. Образование"
if message.text != text:
await message.edit_text(text, reply_markup=markup)
@dp.callback_query_handler(Main(), cb_account.filter(action='geo', value=''), state=addAccount.url)
async def requestGeo(call: types.CallbackQuery, state=FSMContext):
await call.answer()
markup = types.ReplyKeyboardMarkup(resize_keyboard=True)
markup.add(types.KeyboardButton(
"📍 Оптравить местоположение", request_location=True))
markup.add(types.KeyboardButton(
"❌ Отмена"))
georequest_msg = await call.message.answer("📍 Воспользуйтесь специальной кнопкой для отправки своего местоположения", reply_markup=markup)
await call.message.delete()
async with state.proxy() as data:
data["message"] = georequest_msg
await addAccount.wait_geo.set()
@dp.callback_query_handler(Main(), cb_account.filter(action='url', value=''), state=addAccount.url)
async def waitUrl(call: types.CallbackQuery, state: FSMContext):
await call.answer()
markup = types.InlineKeyboardMarkup()
markup.add(types.InlineKeyboardButton(
"◀️ Вернуться к другим методам", callback_data=cb_account.new(action='add', value='')))
async with state.proxy() as data:
data["message"] = call.message
await addAccount.wait_url.set()
await call.message.edit_text("💬 Отправьте ссылку на свою систему Сетевой Город. Образование, скопировав её из адресной строки вашего браузера", reply_markup=markup)
@dp.callback_query_handler(Main(), cb_account.filter(action='continue'), state=['*'])
async def account_continueAdd(call: types.CallbackQuery, callback_data: dict, state: FSMContext):
account = await Account.get_registerAccount(call.from_user.id)
if not account['url']:
await account_add(call, state)
else:
ns = NetSchoolAPI(account['url'])
ns_sessions[account['id']] = ns
regions = await db.execute("SELECT * FROM regions")
for key in account.items():
if key[1]:
ns._prelogin_data.update({key[0]: key[1]})
else:
if key[0] == 'cid':
await cidSelect(account['id'], call.message)
break
elif key[0] == 'sid':
await sidSelect(call.message, account['id'])
break
elif key[0] == 'pid':
await pidSelect(call.message, account['id'])
break
elif key[0] == 'cn':
await cnSelect(call.message, account['id'])
break
elif key[0] == 'sft':
await sftSelect(call.message, account['id'])
break
elif key[0] == 'scid':
await scidSelect(call.message, account['id'])
break
elif key[0] == 'username':
await schoolInfo(call.message, account['id'])
break
elif key[0] == 'password':
await schoolInfo(call.message, account['id'])
break
else:
await account_add(call, state)
break |
py | 1a4ab151820c409a45ef9f39edb95fba26e58552 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import abc
class TransformationPool(abc.ABC):
@abc.abstractmethod
def get_transformation(self, exclude_trans=None):
raise NotImplementedError
@abc.abstractmethod
def transformations_sim(self, t1, t2):
raise NotImplementedError
|
py | 1a4ab36429050f360f92807a2a5f2db48a78a4af | # Title: 개미
# Link: https://www.acmicpc.net/problem/4307
import sys
sys.setrecursionlimit(10 ** 6)
read_single_int = lambda: int(sys.stdin.readline().strip())
read_list_int = lambda: list(map(int, sys.stdin.readline().strip().split(' ')))
def solution(l: int, n: int, ants: list):
fast, slow = 0, 0
for ant in ants:
fast = max(fast, min(l-ant, ant))
slow = max(slow, max(ant, l-ant))
return '{} {}'.format(fast, slow)
def main():
t = read_single_int()
for _ in range(t):
l, n = read_list_int()
ants = []
for _ in range(n):
ants.append(read_single_int())
print(solution(l, n, ants))
if __name__ == '__main__':
main() |
py | 1a4ab42e447805f2a28558075a1a829a796cd8cf | from datetime import datetime
import pytz as pytz
import scrapy
from fosdem_event_scraper.settings import INPUT_FILE
class FosdemEventSpider(scrapy.Spider):
name = "fosdem-event"
def start_requests(self):
with open(INPUT_FILE, "r") as fhandle:
for url in map(str.rstrip, fhandle.readlines()):
yield scrapy.Request(url=url)
def parse(self, response, **kwargs):
ret = dict()
for info_element in response.css("ul.side-box > li"):
infoid = info_element.css("strong::text").extract_first().lower()
ret[infoid] = info_element.css("a::text").extract_first()
ret["title"] = response.css("#pagetitles h1::text").extract_first()
ret["url"] = response.url
ret["time"] = datetime.now(pytz.UTC)
yield ret
|
py | 1a4ab4c632fd693c569c9acbec3f5d23066870c2 | from __future__ import print_function
import os
import warnings
warnings.filterwarnings('ignore')
import time
import torch
import shutil
import argparse
from m2det import build_net
import torch.utils.data as data
import torch.backends.cudnn as cudnn
from torch.nn.utils.clip_grad import clip_grad_norm_
from layers.functions import Detect,PriorBox
from data import detection_collate
from configs.CC import Config
from utils.core import *
from tensorboardX import SummaryWriter
parser = argparse.ArgumentParser(description='M2Det Training')
parser.add_argument('-c', '--config', default='configs/m2det320_resnet101.py')
parser.add_argument('-d', '--dataset', default='COCO', help='VOC or COCO dataset')
parser.add_argument('--ngpu', default=1, type=int, help='gpus')
parser.add_argument('--resume_net', default=None, help='resume net for retraining')
parser.add_argument('--resume_epoch', default=0, type=int, help='resume iter for retraining')
parser.add_argument('-t', '--tensorboard', type=bool, default=False, help='Use tensorborad to show the Loss Graph')
args = parser.parse_args()
print_info('----------------------------------------------------------------------\n'
'| M2Det Training Program |\n'
'----------------------------------------------------------------------',['yellow','bold'])
#Enable Tensorboard logger
logger = set_logger(args.tensorboard)
writer = SummaryWriter()
#Use configs from specified
global cfg
cfg = Config.fromfile(args.config)
net = build_net('train',
size = cfg.model.input_size, # Only 320, 512, 704 and 800 are supported
config = cfg.model.m2det_config)
init_net(net, cfg, args.resume_net) # init the network with pretrained weights or resumed weights
if args.ngpu>1:
net = torch.nn.DataParallel(net)
if cfg.train_cfg.cuda:
net.cuda()
cudnn.benchmark = True
optimizer = set_optimizer(net, cfg)
criterion = set_criterion(cfg)
anchor_config = anchors(cfg)
priorbox = PriorBox(anchor_config)
#Detector
detector = Detect(cfg.model.m2det_config.num_classes, cfg.loss.bkg_label, anchor_config)
with torch.no_grad():
priors = priorbox.forward()
if cfg.train_cfg.cuda:
priors = priors.cuda()
if __name__ == '__main__':
net.train()
epoch = args.resume_epoch
print_info('===> Loading Dataset...',['yellow','bold'])
dataset = get_dataloader(cfg, args.dataset, 'train_sets')
epoch_size = len(dataset) // (cfg.train_cfg.per_batch_size * args.ngpu)
max_iter = getattr(cfg.train_cfg.step_lr,args.dataset)[-1] * epoch_size
stepvalues = [_*epoch_size for _ in getattr(cfg.train_cfg.step_lr, args.dataset)[:-1]]
print_info('===> Training M2Det on ' + args.dataset, ['yellow','bold'])
step_index = 0
if args.resume_epoch > 0:
start_iter = args.resume_epoch * epoch_size
else:
start_iter = 0
for iteration in range(start_iter, max_iter):
if iteration % epoch_size == 0:
batch_iterator = iter(data.DataLoader(dataset,
cfg.train_cfg.per_batch_size * args.ngpu,
shuffle=True,
num_workers=cfg.train_cfg.num_workers,
collate_fn=detection_collate))
if epoch % cfg.model.save_eposhs == 0:
save_checkpoint(net, cfg, final=False, datasetname = args.dataset, epoch=epoch)
epoch += 1
load_t0 = time.time()
if iteration in stepvalues:
step_index += 1
lr = adjust_learning_rate(optimizer, cfg.train_cfg.gamma, epoch, step_index, iteration, epoch_size, cfg)
images, targets = next(batch_iterator)
if cfg.train_cfg.cuda:
images = images.cuda()
targets = [anno.cuda() for anno in targets]
out = net(images)
optimizer.zero_grad()
loss_l, loss_c = criterion(out, priors, targets)
loss = loss_l + loss_c
write_logger({'loc_loss':loss_l.item(),
'conf_loss':loss_c.item(),
'loss':loss.item()},logger,iteration,status=args.tensorboard)
loss.backward()
#clip_grad_norm_(net.parameters(), 5) # Clip gradients at 5, because exploding gradients occurred once
optimizer.step()
load_t1 = time.time()
print_train_log(iteration, cfg.train_cfg.print_epochs,
[time.ctime(),epoch,iteration%epoch_size,epoch_size,iteration,loss_l.item(),loss_c.item(),load_t1-load_t0,lr])
save_checkpoint(net, cfg, final=True, datasetname=args.dataset,epoch=-1)
|
py | 1a4ab4fc3318619eefa20871c3eea03e7ee607a8 | from typing import *
class Solution:
def fourSum(self, nums: List[int], target: int) -> List[List[int]]:
result = set()
nums_len = len(nums)
nums.sort()
for i in range(nums_len):
for j in range(i + 1, nums_len):
k = j + 1
l = nums_len - 1
while k < l:
temp_sum = nums[i] + nums[j] + nums[k] + nums[l]
if temp_sum == target:
result.add((nums[i], nums[j], nums[k], nums[l]))
k += 1
elif temp_sum < target:
k += 1
else:
l -= 1
return list(map(lambda tuple: list(tuple), result))
s = Solution()
print(s.fourSum([-3,-2,-1,0,0,1,2,3], 0)) |
py | 1a4ab518e1b8ff67a53bf69f606e8e516df54dbc | import pandas as pd
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch
import torchvision
import torchvision.transforms as transforms
from sklearn.model_selection import train_test_split
from torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler
from sklearn.metrics import classification_report
from sklearn.metrics import accuracy_score
import pickle
import torch.optim as optim
def run_full_code_gn(device, model_file, test_data_file, output_file, n):
def unpickle(file):
with open(file, 'rb') as fo:
dict = pickle.load(fo, encoding='bytes')
return dict
def normalise(X):
return (X - X.mean(axis = 0))/(X.std(axis = 0) + (np.ones((1,X.shape[1]))*(1e-06)))
dict6 = unpickle(test_data_file)
Xtest = np.array(dict6[b'data'])
# Ytest = np.array(dict6[b'labels'])
Xtest = normalise(Xtest)
Xtest = Xtest.reshape(10000, 3, 32, 32)
Xtest = torch.from_numpy(Xtest)
# Ytest = Ytest.astype(int)
# Ytest = torch.from_numpy(Ytest)
Xtest = Xtest.to(torch.float32)
# Ytest = Ytest.to(torch.int64)
class LambdaLayer(nn.Module):
def __init__(self, lambd):
super(LambdaLayer, self).__init__()
self.lambd = lambd
def forward(self, x):
return self.lambd(x)
class Group_Normalisation(nn.Module):
def __init__(self, numlayer, G):
super().__init__()
self.gamma = nn.Parameter(torch.ones((1, numlayer, 1, 1)), requires_grad = True)
self.beta = nn.Parameter(torch.zeros((1, numlayer, 1, 1)), requires_grad = True)
self.eps = 1e-6
self.G = G
def forward(self, x):
x = x.reshape((x.shape[0], self.G, x.shape[1]//self.G, x.shape[2], x.shape[3]))
mean = x.mean(dim = (2, 3, 4), keepdim=True)
var = x.var(dim = (2, 3, 4), keepdim=True)
x = (x - mean) / torch.sqrt(var + self.eps)
x = x.reshape((x.shape[0], x.shape[2]*self.G, x.shape[3], x.shape[4]))
x = self.gamma * x + self.beta
return x
class ResNetBlock(nn.Module):
def __init__(self, numlayer, n, G):
super(ResNetBlock, self).__init__()
self.conv1 = nn.Conv2d(numlayer, numlayer, 3, padding = 1)
self.group_norm1 = Group_Normalisation(numlayer, G)
self.conv2 = nn.Conv2d(numlayer, numlayer, 3, padding = 1)
self.group_norm2 = Group_Normalisation(numlayer, G)
def forward(self, x):
y = x
x = self.conv1(x)
x = self.group_norm1(x)
x = F.relu(x)
x = self.conv2(x)
x = self.group_norm2(x)
x = x + y
x = F.relu(x);
return x
class ResNet_Layer(nn.Module):
def __init__(self, numlayer, n, G):
super(ResNet_Layer, self).__init__()
self.conv_blocs = nn.Sequential(*[ResNetBlock(numlayer, n, G)
for i in range(0, n)])
def forward(self, x):
x = self.conv_blocs(x);
return x
class ResNet_Downsample(nn.Module):
def __init__(self, numlayerin, numlayerout, n, G):
super(ResNet_Downsample, self).__init__()
self.conv1 = nn.Conv2d(numlayerin, numlayerout, 3, stride = 2, padding = 1)
self.layer_norm1 = Group_Normalisation(numlayerout, G)
self.conv2 = nn.Conv2d(numlayerout, numlayerout, 3, padding = 1)
self.layer_norm2 = Group_Normalisation(numlayerout, G)
self.s1A = LambdaLayer(lambda x: F.pad(x[:, :, ::2, ::2], (0, 0, 0, 0, int(numlayerin/2), int(numlayerin/2)), "constant", 0))
def forward(self, x):
y = x
x = self.conv1(x)
x = self.layer_norm1(x)
x = F.relu(x)
x = self.conv2(x)
x = self.layer_norm2(x)
x = x + self.s1A(y)
x = F.relu(x)
return x
class ResNet(nn.Module):
def __init__(self, n1, r1):
super(ResNet, self).__init__()
self.n = n1
self.r = r1
self.conv_3_16 = nn.Conv2d(3, 16, 3, padding = 1)
self.group_norm1 = Group_Normalisation(16, 4)
self.resnet_layer1 = ResNet_Layer(16, n1, 4)
self.resnet_block1 = ResNet_Downsample(16, 32, n1, 8)
self.resnet_layer2 = ResNet_Layer(32, n1-1, 8)
self.resnet_block2 = ResNet_Downsample(32, 64, n1, 8)
self.resnet_layer3 = ResNet_Layer(64, n1-1, 8)
self.globalAvg = nn.AdaptiveAvgPool2d((1, 1))
self.fc1 = nn.Linear(64, self.r)
def forward(self, x):
x = self.conv_3_16(x)
x = self.group_norm1(x)
x = F.relu(x)
x = self.resnet_layer1(x)
x = self.resnet_block1(x)
x = self.resnet_layer2(x)
x = self.resnet_block2(x)
x = self.resnet_layer3(x)
#Global average pooling
x = self.globalAvg(x)
y = x.view(-1, 64)
x = self.fc1(y)
return x, y
model = ResNet(n, 10)
model.load_state_dict(torch.load(model_file))
model = model.to(device)
len_Xtest = Xtest.shape[0]
final_preds = np.array([]).reshape((0, 10))
batch_size = 128
for i in range(0, (len_Xtest//batch_size)):
x = torch.FloatTensor(Xtest[i*batch_size:(i+1)*batch_size, :]).to(device)
with torch.no_grad():
preds, _ = model(x)
final_preds = np.vstack((final_preds, preds.detach().cpu().numpy()))
if(len_Xtest - ((len_Xtest//batch_size)*batch_size) > 0):
x = torch.FloatTensor(Xtest[((len_Xtest//batch_size)*batch_size):len_Xtest, :]).to(device)
with torch.no_grad():
preds, _ = model(x)
final_preds = np.vstack((final_preds, preds.detach().cpu().numpy()))
print(final_preds.shape)
final_preds = final_preds.argmax(axis = 1)
final_preds = final_preds.reshape(final_preds.shape[0])
# # get predictions for val data
# with torch.no_grad():
# preds, _ = model(Xtest.to(device))
# preds = preds.detach().cpu().numpy()
# # prediction
# prediction = preds.argmax(axis = 1)
s = ""
for x in final_preds:
s += str(x) + "\n"
with open(output_file, "w") as f:
f.write(s)
|
py | 1a4ab5b7f6fe1508a67f545183e2c384f5e665d3 | #from .exchanges import Exchange, FTXSpot
import asyncio
class Order:
def __init__(self, order_id: str, base: str, quote: str, side: str, volume: float):
self.id = order_id
self.base = base
self.quote = quote
self.side = side.upper()
self.volume = volume
self.remaining_volume = volume
self.open = True
self.completed = False
self.filled_volume = 0 #Total order volume (including fees)
self.total_fees = {} #Fees paid, format {currency: fee}
self.fills = {}
self.fill_event = asyncio.Event()
self.close_event = asyncio.Event()
self.price = None
self.reported_fill = None
self.modifyed = False
def update(self, update_type, data):
balance_changes = {self.quote: 0, self.base: 0}
if update_type == 'FILL':
if data['trade_id'] in self.fills:
return balance_changes
volume_modifyer = 1 if self.side == 'BUY' else -1
self.remaining_volume -= data['volume']
print('Order', self.id, self.base, self.quote, ' fill, remaining volume: ', self.remaining_volume)
balance_changes[self.base] += volume_modifyer * data['volume']
balance_changes[self.quote] -= volume_modifyer * data['volume'] * data['price']
for currency, fee in data['fees'].items():
if currency not in self.total_fees:
self.total_fees[currency] = 0
if currency not in balance_changes:
balance_changes[currency] = 0
self.total_fees[currency] += fee
balance_changes[currency] -= fee
self.fills[data['trade_id']] = dict(balance_changes)
if self.remaining_volume < 10**-5 or (self.reported_fill is not None and self.reported_fill - 10**-5 <= self.volume - self.remaining_volume):
self.open = False
self.completed = True
self.fill_event.set()
if update_type == 'UPDATE':
if data['status'] == 'CLOSED' and data['id'] == self.id and not self.modifyed:
self.open = False
self.close_event.set()
self.reported_fill = data['filled_size']
if self.reported_fill - 10**-5 <= self.volume - self.remaining_volume:
self.fill_event.set()
if self.reported_fill == 0.0 and self.price is None:
print('Order canceled by exchange, no reason given')
return balance_changes
class LimitOrder(Order):
pass
class MarketOrder(Order):
pass
class Account:
'''Account class to manage orders and store basic data'''
def __init__(self, api, secret, exchange):
self.api_key = api
self.secret_key = secret
self.exchange = exchange
self.balance = None
self.order_update_queue = exchange.user_update_queue
self.parse_order_update_task = asyncio.create_task(self.parse_order_updates())
self.orders = {}
self.unhandled_order_updates = {}
self.fill_queues = {}
async def get_balance(self):
self.balance = await self.exchange.get_account_balance(self.api_key, self.secret_key)
def __str__(self):
r = ''
for coin, balance in self.balance.items():
if balance > 0:
r += coin + '\t| ' + '{0:.4f}'.format(balance)
r += '\n'
return r
def remove_closed_orders(self):
to_delete = []
for order_id, order in self.orders.items():
if not order.open:
to_delete.append(order_id)
for order_id in to_delete:
del self.orders[order_id]
async def get_open_orders(self):
pass
async def parse_order_updates(self):
try:
while True and self.exchange.connection_manager.open:
if self.balance is None:
await self.get_balance()
order_update = await self.order_update_queue.get()
if order_update['type'] == 'FILL':
volume_modifyer = 1 if order_update['side'] == 'BUY' else -1
base, quote = order_update['market']
if base not in self.balance:
self.balance[base] = 0.0
if quote not in self.balance:
self.balance[quote] = 0.0
self.balance[base] += volume_modifyer * order_update['volume']
self.balance[quote] -= volume_modifyer * order_update['volume'] * order_update['price']
for fee_currency, fee in order_update['fees'].items():
if fee_currency not in self.balance:
self.balance[fee_currency] = 0.0
self.balance[fee_currency] -= fee
print(order_update['id'], self.fill_queues)
if order_update['id'] in self.fill_queues:
await self.fill_queues[order_update['id']].put(order_update)
if order_update['id'] not in self.orders:
if order_update['id'] not in self.unhandled_order_updates:
self.unhandled_order_updates[order_update['id']] = []
self.unhandled_order_updates[order_update['id']].append(order_update)
else:
self.orders[order_update['id']].update(order_update['type'], order_update)
self.order_update_queue.task_done()
except Exception as e:
print('Error in Account.parse_order_updates():', e)
def add_order(self, order):
if order.id in self.unhandled_order_updates:
for update in self.unhandled_order_updates[order.id]:
order.update(update['type'], update)
self.orders[order.id] = order
async def refresh_fills(self, start_time):
fills = await self.exchange.get_order_fills(start_time, self.api_key, self.secret_key)
for fill in fills:
if fill['id'] not in self.orders:
print('Error in account class, orders out of sync!')
#need to update orders
elif fill['trade_id'] not in self.orders[fill['id']]:
self.orders[fill['id']].update('FILL', fill)
async def market_order(self, base, quote, side, **kwargs):
if 'quote_volume' not in kwargs and 'volume' not in kwargs:
print('ERROR: missing required argument')
#TODO: proper exception
return
if 'volume' in kwargs:
response = await self.exchange.market_order(base, quote, side, kwargs['volume'], self.api_key, self.secret_key)
else:
response = await self.exchange.market_order_quote_volume(base, quote, side, kwargs['quote_volume'], self.api_key, self.secret_key)
async def limit_order(self, base, quote, side, price, volume, fill_queue = None):
order = await self.exchange.limit_order(base, quote, side, price, volume, self.api_key, self.secret_key)
self.fill_queues[order.id] = fill_queue
return order
async def change_order(self, order, **kwargs):
print(kwargs)
order.modifyed = True
if order.remaining_volume < 10**-6:
return
if 'exchange' in kwargs:
exchange = kwargs['exchange']
if 'price' in kwargs and float(self.exchange.price_renderers[(order.base, order.quote)].render(kwargs['price'])) == order.price:
del kwargs['price']
if 'price' in kwargs and 'size' in kwargs:
new_order_id, new_price, new_remaining = await self.exchange.change_order(order.id, order.base, order.quote, self.api_key, self.secret_key, self.subaccount, price=kwargs['price'], size=kwargs['size'])
elif 'price' in kwargs:
new_order_id, new_price, new_remaining = await self.exchange.change_order(order.id, order.base, order.quote, self.api_key, self.secret_key, self.subaccount, price=kwargs['price'])
elif 'size' in kwargs:
new_order_id, new_price, new_remaining = await self.exchange.change_order(order.id, order.base, order.quote, self.api_key, self.secret_key, self.subaccount, size=kwargs['size'])
else:
print('no change to order')
order.modifyed = False
return
order.price = new_price
if order.id in self.fill_queues:
self.fill_queues[new_order_id] = self.fill_queues[order.id]
order.id = new_order_id
order.modifyed = False
self.orders[new_order_id] = order
class BinanceAccount(Account):
async def get_dividend_record(self, limit = 20):
return await self.exchange.get_asset_dividend(limit, self.api_key, self.secret_key)
async def get_account_websocket_key(self):
response = await self.exchange.connection_manager.signed_get()
class FuturesAccount(Account):
pass
class FTXAccount(Account):
def __init__(self, api, secret, exchange, subaccount = None, connection_manager = None):
self.subaccount = subaccount
super().__init__(api, secret, exchange)
if connection_manager is not None:
self.connection_manager = connection_manager
async def market_order(self, base, quote, side, **kwargs):
if 'exchange' in kwargs:
exchange = kwargs['exchange']
else:
exchange = self.exchange
if 'quote_volume' not in kwargs and 'volume' not in kwargs:
print('ERROR: missing required argument')
#TODO: proper exception
return
if 'volume' in kwargs:
order = await exchange.market_order(base, quote, side, kwargs['volume'], self.api_key, self.secret_key, self.subaccount)
else:
order = await exchange.market_order_quote_volume(base, quote, side, kwargs['quote_volume'], self.api_key, self.secret_key, self.subaccount)
if order is None:
#failed to place order...
return
self.add_order(order)
return order
async def limit_order(self, base, quote, side, price, volume, **kwargs):
if 'exchange' in kwargs:
exchange = kwargs['exchange']
else:
exchange = self.exchange
response = await exchange.limit_order(base, quote, side, price, volume, self.api_key, self.secret_key, self.subaccount)
self.add_order(response)
if 'fill_queue' in kwargs:
self.fill_queues[response.id] = kwargs['fill_queue']
else:
print(kwargs)
return response
async def cancel_order(self, order_id, **kwargs):
response = await self.exchange.cancel_order(order_id.id, self.api_key, self.secret_key, self.subaccount)
async def get_balance(self):
self.balance = await self.exchange.get_account_balance(self.api_key, self.secret_key, self.subaccount)
async def subscribe_to_user_data(self):
await self.get_balance()
await self.exchange.subscribe_to_user_data(self.api_key, self.secret_key, self.subaccount)
async def cancel_all_orders(self):
await self.exchange.cancel_all_orders(self.api_key, self.secret_key, self.subaccount)
|
py | 1a4ab6236c40371385cc2131b157f3291ddc0543 | __all__ = ["Monitor", "get_monitor_files", "load_results"]
import csv
import json
import os
import time
from glob import glob
from typing import List, Optional, Tuple, Union
import gym
import numpy as np
import pandas
from stable_baselines3.common.type_aliases import GymObs, GymStepReturn
class Monitor(gym.Wrapper):
"""
A monitor wrapper for Gym environments, it is used to know the episode reward, length, time and other data.
:param env: The environment
:param filename: the location to save a log file, can be None for no log
:param allow_early_resets: allows the reset of the environment before it is done
:param reset_keywords: extra keywords for the reset call,
if extra parameters are needed at reset
:param info_keywords: extra information to log, from the information return of env.step()
"""
EXT = "monitor.csv"
def __init__(
self,
env: gym.Env,
filename: Optional[str] = None,
allow_early_resets: bool = True,
reset_keywords: Tuple[str, ...] = (),
info_keywords: Tuple[str, ...] = (),
):
super(Monitor, self).__init__(env=env)
self.t_start = time.time()
if filename is None:
self.file_handler = None
self.logger = None
else:
if not filename.endswith(Monitor.EXT):
if os.path.isdir(filename):
filename = os.path.join(filename, Monitor.EXT)
else:
filename = filename + "." + Monitor.EXT
self.file_handler = open(filename, "wt")
self.file_handler.write("#%s\n" % json.dumps(
{"t_start": self.t_start, "env_id": env.spec and env.spec.id}))
self.logger = csv.DictWriter(self.file_handler, fieldnames=(
"r", "l", "s", "t") + reset_keywords + info_keywords)
self.logger.writeheader()
self.file_handler.flush()
self.reset_keywords = reset_keywords
self.info_keywords = info_keywords
self.allow_early_resets = allow_early_resets
self.rewards = None
self.needs_reset = True
self.episode_rewards = []
self.episode_lengths = []
self.episode_times = []
self.total_steps = 0
self.success = []
# extra info about the current episode, that was passed in during reset()
self.current_reset_info = {}
def reset(self, **kwargs) -> GymObs:
"""
Calls the Gym environment reset. Can only be called if the environment is over, or if allow_early_resets is True
:param kwargs: Extra keywords saved for the next episode. only if defined by reset_keywords
:return: the first observation of the environment
"""
if not self.allow_early_resets and not self.needs_reset:
raise RuntimeError(
"Tried to reset an environment before done. If you want to allow early resets, "
"wrap your env with Monitor(env, path, allow_early_resets=True)"
)
self.rewards = []
self.success = []
self.needs_reset = False
for key in self.reset_keywords:
value = kwargs.get(key)
if value is None:
raise ValueError(
"Expected you to pass kwarg {} into reset".format(key))
self.current_reset_info[key] = value
return self.env.reset(**kwargs)
def step(self, action: Union[np.ndarray, int]) -> GymStepReturn:
"""
Step the environment with the given action
:param action: the action
:return: observation, reward, done, information
"""
if self.needs_reset:
raise RuntimeError("Tried to step environment that needs reset")
observation, reward, done, info = self.env.step(action)
self.rewards.append(reward)
if done:
self.needs_reset = True
ep_rew = sum(self.rewards)
ep_len = len(self.rewards)
ep_success = sum(self.success)
ep_info = {"r": round(ep_rew, 6), "l": ep_len, "t": round(
time.time() - self.t_start, 6)}
for key in self.info_keywords:
ep_info[key] = info[key]
self.episode_rewards.append(ep_rew)
self.episode_lengths.append(ep_len)
self.episode_times.append(time.time() - self.t_start)
ep_info.update(self.current_reset_info)
if self.logger:
self.logger.writerow(ep_info)
self.file_handler.flush()
info["episode"] = ep_info
self.total_steps += 1
return observation, reward, done, info
def close(self) -> None:
"""
Closes the environment
"""
super(Monitor, self).close()
if self.file_handler is not None:
self.file_handler.close()
def get_total_steps(self) -> int:
"""
Returns the total number of timesteps
:return:
"""
return self.total_steps
def get_episode_rewards(self) -> List[float]:
"""
Returns the rewards of all the episodes
:return:
"""
return self.episode_rewards
def get_episode_lengths(self) -> List[int]:
"""
Returns the number of timesteps of all the episodes
:return:
"""
return self.episode_lengths
def get_episode_times(self) -> List[float]:
"""
Returns the runtime in seconds of all the episodes
:return:
"""
return self.episode_times
class LoadMonitorResultsError(Exception):
"""
Raised when loading the monitor log fails.
"""
pass
def get_monitor_files(path: str) -> List[str]:
"""
get all the monitor files in the given path
:param path: the logging folder
:return: the log files
"""
return glob(os.path.join(path, "*" + Monitor.EXT))
def load_results(path: str) -> pandas.DataFrame:
"""
Load all Monitor logs from a given directory path matching ``*monitor.csv``
:param path: the directory path containing the log file(s)
:return: the logged data
"""
monitor_files = get_monitor_files(path)
if len(monitor_files) == 0:
raise LoadMonitorResultsError(
f"No monitor files of the form *{Monitor.EXT} found in {path}")
data_frames, headers = [], []
for file_name in monitor_files:
with open(file_name, "rt") as file_handler:
first_line = file_handler.readline()
assert first_line[0] == "#"
header = json.loads(first_line[1:])
data_frame = pandas.read_csv(file_handler, index_col=None)
headers.append(header)
data_frame["t"] += header["t_start"]
data_frames.append(data_frame)
data_frame = pandas.concat(data_frames)
data_frame.sort_values("t", inplace=True)
data_frame.reset_index(inplace=True)
data_frame["t"] -= min(header["t_start"] for header in headers)
return data_frame
|
py | 1a4ab6457021295a55b89fe1599879697a34169c | from app import reset_products_file #import from another file
reset_products_file()
|
py | 1a4ab6b3155254cbce9b35cba8a73208ff44d187 | # Copyright 2021 The NetKet 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.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import numbers
from typing import Union, Tuple, List, Optional
from numpy.typing import DTypeLike, ArrayLike
import numpy as np
from numba import jit
import jax
import jax.numpy as jnp
from netket.hilbert import AbstractHilbert, Fock
from ._abstract_operator import AbstractOperator
from ._lazy import Transpose, Adjoint, Squared
@jit(nopython=True)
def _number_to_state(number, hilbert_size_per_site, local_states_per_site, out):
out[:] = local_states_per_site[:, 0]
size = out.shape[0]
ip = number
k = size - 1
while ip > 0:
local_size = hilbert_size_per_site[k]
out[k] = local_states_per_site[k, ip % local_size]
ip = ip // local_size
k -= 1
return out
def is_hermitian(a: np.ndarray, rtol=1e-05, atol=1e-08) -> bool:
return np.allclose(a, a.T.conj(), rtol=rtol, atol=atol)
def _dtype(obj: Union[numbers.Number, ArrayLike, "LocalOperator"]) -> DTypeLike:
if isinstance(obj, numbers.Number):
return type(obj)
elif isinstance(obj, AbstractOperator):
return obj.dtype
elif isinstance(obj, np.ndarray):
return obj.dtype
else:
raise TypeError(f"cannot deduce dtype of object type {type(obj)}: {obj}")
def resize(
arr: ArrayLike,
shape: List[int],
dtype: Optional[DTypeLike] = None,
init: Optional[numbers.Number] = None,
) -> ArrayLike:
"""
resizes the input array to the new shape that must be larger than the old.
The resulting array is initialized with the old array in the corresponding indices, and with init
in the rest.
Args:
arr: The array to be resized
shape: The new shape
dtype: optional dtype of the new array. If unspecified the old array dtype is used
init: optional initialization value for the new entries
Returns:
a numpy array with the chosen shape and dtype.
"""
if dtype is None:
dtype = arr.dtype
if isinstance(shape, int):
shape = (shape,)
if arr.shape == shape:
return arr
arr_shape = arr.shape
if len(shape) != arr.ndim:
raise ValueError("the number of dimensions should not change.")
for (i, ip) in zip(arr_shape, shape):
if ip < i:
raise ValueError(
f"The new dimensions ({shape}) should all be larger than the old ({arr_shape})."
)
new_arr = np.empty(shape=shape, dtype=arr.dtype)
if init is not None:
new_arr[...] = init
if arr.ndim == 0:
raise ValueError("Cannot resize a 0-dimensional scalar")
elif arr.ndim == 1:
new_arr[: arr_shape[0]] = arr
elif arr.ndim == 2:
new_arr[: arr_shape[0], : arr_shape[1]] = arr
elif arr.ndim == 3:
new_arr[: arr_shape[0], : arr_shape[1], : arr_shape[2]] = arr
elif arr.ndim == 4:
new_arr[: arr_shape[0], : arr_shape[1], : arr_shape[2], : arr_shape[3]] = arr
else:
raise ValueError(f"unsupported number of dimensions: {arr.ndim}")
return new_arr
def _reorder_matrix(hi, mat, acting_on):
acting_on_sorted = np.sort(acting_on)
if np.all(acting_on_sorted == acting_on):
return mat, acting_on
acting_on_sorted_ids = np.argsort(acting_on)
# could write custom binary <-> int logic instead of using Fock...
# Since i need to work with bit-strings (where instead of bits i
# have integers, in order to support arbitrary size spaces) this
# is exactly what hilbert.to_number() and viceversa do.
# target ordering binary representation
hi_subspace = Fock(hi.shape[acting_on_sorted[0]] - 1)
for site in acting_on_sorted[1:]:
hi_subspace = Fock(hi.shape[site] - 1) * hi_subspace
# find how to map target ordering back to unordered
acting_on_unsorted_ids = np.zeros(len(acting_on), dtype=np.intp)
for (i, site) in enumerate(acting_on):
acting_on_unsorted_ids[i] = np.argmax(site == acting_on_sorted)
# now it is valid that
# acting_on_sorted == acting_on[acting_on_unsorted_ids]
# generate n-bit strings in the target ordering
v = hi_subspace.all_states()
# convert them to origin (unordered) ordering
v_unsorted = v[:, acting_on_unsorted_ids]
# convert the unordered bit-strings to numbers in the target space.
n_unsorted = hi_subspace.states_to_numbers(v_unsorted)
# reorder the matrix
mat_sorted = mat[n_unsorted, :][:, n_unsorted]
return mat_sorted, acting_on_sorted
class LocalOperator(AbstractOperator):
"""A custom local operator. This is a sum of an arbitrary number of operators
acting locally on a limited set of k quantum numbers (i.e. k-local,
in the quantum information sense).
"""
def __init__(
self,
hilbert: AbstractHilbert,
operators: Union[List[ArrayLike], ArrayLike] = [],
acting_on: Union[List[int], List[List[int]]] = [],
constant: numbers.Number = 0,
dtype: Optional[DTypeLike] = None,
):
r"""
Constructs a new ``LocalOperator`` given a hilbert space and (if
specified) a constant level shift.
Args:
hilbert (netket.AbstractHilbert): Hilbert space the operator acts on.
operators (list(numpy.array) or numpy.array): A list of operators, in matrix form.
acting_on (list(numpy.array) or numpy.array): A list of sites, which the corresponding operators act on.
constant (float): Level shift for operator. Default is 0.0.
Examples:
Constructs a ``LocalOperator`` without any operators.
>>> from netket.hilbert import CustomHilbert
>>> from netket.operator import LocalOperator
>>> hi = CustomHilbert(local_states=[1, -1])**20
>>> empty_hat = LocalOperator(hi)
>>> print(len(empty_hat.acting_on))
0
"""
super().__init__(hilbert)
self._constant = constant
# check if passing a single operator or a list of operators
if isinstance(acting_on, numbers.Number):
acting_on = [acting_on]
is_nested = any(hasattr(i, "__len__") for i in acting_on)
if not is_nested:
operators = [operators]
acting_on = [acting_on]
operators = [np.asarray(operator) for operator in operators]
# If we asked for a specific dtype, enforce it.
if dtype is None:
dtype = np.promote_types(operators[0].dtype, np.float32)
for op in operators[1:]:
np.promote_types(dtype, op.dtype)
self._dtype = dtype
self._init_zero()
self.mel_cutoff = 1.0e-6
for op, act in zip(operators, acting_on):
if len(act) > 0:
self._add_operator(op, act)
@property
def operators(self) -> List[np.ndarray]:
"""List of the matrices of the operators encoded in this Local Operator.
Returns a copy.
"""
return self._operators_list()
@property
def acting_on(self) -> List[List[int]]:
"""List containing the list of the sites on which every operator acts.
Every operator `self.operators[i]` acts on the sites `self.acting_on[i]`
"""
actions = [action[action >= 0].tolist() for action in self._acting_on]
return actions
@property
def dtype(self) -> DTypeLike:
return self._dtype
@property
def size(self) -> int:
return self._size
@property
def is_hermitian(self) -> bool:
"""Returns true if this operator is hermitian."""
return self._is_hermitian
@property
def mel_cutoff(self) -> float:
r"""float: The cutoff for matrix elements.
Only matrix elements such that abs(O(i,i))>mel_cutoff
are considered"""
return self._mel_cutoff
@mel_cutoff.setter
def mel_cutoff(self, mel_cutoff):
self._mel_cutoff = mel_cutoff
assert self.mel_cutoff >= 0
@property
def constant(self) -> numbers.Number:
return self._constant
@property
def n_operators(self) -> int:
return self._n_operators
def __add__(self, other: Union["LocalOperator", numbers.Number]):
op = self.copy(dtype=np.promote_types(self.dtype, _dtype(other)))
op = op.__iadd__(other)
return op
def __radd__(self, other):
return self.__add__(other)
def __iadd__(self, other):
if isinstance(other, LocalOperator):
if self.hilbert != other.hilbert:
return NotImplemented
if not np.can_cast(other.dtype, self.dtype, casting="same_kind"):
raise ValueError(
f"Cannot add inplace operator with dtype {other.dtype} to operator with dtype {self.dtype}"
)
assert other.mel_cutoff == self.mel_cutoff
for i in range(other._n_operators):
acting_on = other._acting_on[i, : other._acting_size[i]]
operator = other._operators[i]
self._add_operator(operator, acting_on)
self._constant += other.constant
return self
if isinstance(other, numbers.Number):
if not np.can_cast(type(other), self.dtype, casting="same_kind"):
raise ValueError(
f"Cannot add inplace operator with dtype {type(other)} to operator with dtype {self.dtype}"
)
self._constant += other
return self
return NotImplemented
def __sub__(self, other):
return self + (-other)
def __rsub__(self, other):
return other + (-self)
def __isub__(self, other):
return self.__iadd__(-other)
def __neg__(self):
return -1 * self
def __mul__(self, other):
if isinstance(other, AbstractOperator):
op = self.copy(dtype=np.promote_types(self.dtype, _dtype(other)))
return op.__imatmul__(other)
elif not isinstance(other, numbers.Number):
return NotImplemented
op = self.copy(dtype=np.promote_types(self.dtype, _dtype(other)))
op._diag_mels *= other
op._mels *= other
op._constant *= other
for _op in op._operators:
_op *= other
return op
def __imul__(self, other):
if isinstance(other, AbstractOperator):
return self.__imatmul__(other)
elif not isinstance(other, numbers.Number):
return NotImplemented
if not np.can_cast(type(other), self.dtype, casting="same_kind"):
raise ValueError(
f"Cannot add inplace operator with dtype {type(other)} to operator with dtype {self.dtype}"
)
self._diag_mels *= other
self._mels *= other
self._constant *= other
for _op in self._operators:
_op *= other
return self
def __imatmul__(self, other):
if not isinstance(other, LocalOperator):
return NotImplemented
if not np.can_cast(other.dtype, self.dtype, casting="same_kind"):
raise ValueError(
f"Cannot add inplace operator with dtype {type(other)} to operator with dtype {self.dtype}"
)
return self._concrete_imatmul_(other)
def _op__matmul__(self, other):
return self._concrete_matmul_(other)
def _concrete_matmul_(self, other: "LocalOperator") -> "LocalOperator":
if not isinstance(other, LocalOperator):
return NotImplemented
op = self.copy(dtype=np.promote_types(self.dtype, _dtype(other)))
op @= other
return op
def _concrete_imatmul_(self, other: "LocalOperator") -> "LocalOperator":
if not isinstance(other, LocalOperator):
return NotImplemented
tot_operators = []
tot_act = []
for i in range(other._n_operators):
act_i = other._acting_on[i, : other._acting_size[i]].tolist()
ops, act = self._multiply_operator(other._operators[i], act_i)
tot_operators += ops
tot_act += act
prod = LocalOperator(self.hilbert, tot_operators, tot_act, dtype=self.dtype)
self_constant = self._constant
if np.abs(other._constant) > self.mel_cutoff:
self *= other._constant
self += prod
self._constant = 0.0
else:
self = prod
if np.abs(self_constant) > self.mel_cutoff:
self += other * self_constant
return self
def __truediv__(self, other):
if not isinstance(other, numbers.Number):
raise TypeError("Only divison by a scalar number is supported.")
if other == 0:
raise ValueError("Dividing by 0")
return self.__mul__(1.0 / other)
def __rmul__(self, other):
return self.__mul__(other)
def _init_zero(self):
self._operators = []
self._n_operators = 0
self._max_op_size = 0
self._max_acting_size = 0
self._max_local_hilbert_size = 0
self._size = 0
self._acting_on = np.zeros((0, 0), dtype=np.intp)
self._acting_size = np.zeros(0, dtype=np.intp)
self._diag_mels = np.zeros((0, 0), dtype=self.dtype)
self._mels = np.empty((0, 0, 0), dtype=self.dtype)
self._x_prime = np.empty((0, 0, 0, 0))
self._n_conns = np.empty((0, 0), dtype=np.intp)
self._local_states = np.zeros((0, 0, 0), dtype=np.float64)
self._basis = np.zeros((0, 0), dtype=np.int64)
self._is_hermitian = True
def _acting_on_list(self):
acting_on = []
for i in range(self.n_operators):
acting_on.append(np.copy(self._acting_on[i, : self._acting_size[i]]))
return acting_on
def _operators_list(self):
"A deep copy of the operators"
operators = [np.copy(op) for op in self._operators]
return operators
def _add_operator(self, operator: ArrayLike, acting_on: List[int]):
if not np.can_cast(operator, self.dtype, casting="same_kind"):
raise ValueError(f"Cannot cast type {operator.dtype} to {self.dtype}")
acting_on = np.asarray(acting_on, dtype=np.intp)
operator = np.asarray(operator, dtype=self.dtype)
if np.unique(acting_on).size != acting_on.size:
raise ValueError("acting_on contains repeated entries.")
if any(acting_on >= self.hilbert.size):
raise ValueError("acting_on points to a site not in the hilbert space.")
if operator.ndim != 2:
raise ValueError("The operator should be a matrix")
if np.all(np.abs(operator) < self.mel_cutoff):
return
# re-sort the operator
operator, acting_on = _reorder_matrix(self.hilbert, operator, acting_on)
# find overlapping support
support_i = None
for (i, support) in enumerate(self._acting_on_list()):
if np.all(acting_on == support):
support_i = i
break
# If overlapping support, add the local operators themselves
if support_i is not None:
dim = min(operator.shape[0], self._operators[support_i].shape[0])
_opv = self._operators[support_i][:dim, :dim]
_opv += operator[:dim, :dim]
n_local_states_per_site = np.asarray(
[self.hilbert.size_at_index(i) for i in acting_on]
)
self._append_matrix(
self._operators[support_i],
self._diag_mels[support_i],
self._mels[support_i],
self._x_prime[support_i],
self._n_conns[support_i],
self._acting_size[support_i],
self._local_states[support_i],
self.mel_cutoff,
n_local_states_per_site,
)
isherm = True
for op in self._operators:
isherm = isherm and is_hermitian(op)
self._is_hermitian = isherm
else:
self.__add_new_operator__(operator, acting_on)
def __add_new_operator__(self, operator: np.ndarray, acting_on: np.ndarray):
# Else, we must add a completely new operator
self._n_operators += 1
self._operators.append(operator)
# Add a new row and eventually resize the acting_on
self._acting_size = np.resize(self._acting_size, (self.n_operators,))
self._acting_size[-1] = acting_on.size
acting_size = acting_on.size
self._max_op_size = max((operator.shape[0], self._max_op_size))
n_local_states_per_site = np.asarray(
[self.hilbert.size_at_index(i) for i in acting_on]
)
if operator.shape[0] != np.prod(n_local_states_per_site):
raise RuntimeError(
r"""the given operator matrix has shape={} and acts on
the sites={}, which have a local hilbert space size of
sizes={} giving an expected shape
for the operator expected_shape={}.""".format(
operator.shape,
acting_on,
n_local_states_per_site,
np.prod(n_local_states_per_site),
)
)
self._max_acting_size = max(self._max_acting_size, acting_on.size)
self._max_local_hilbert_size = max(
self._max_local_hilbert_size, np.max(n_local_states_per_site)
)
self._acting_on = resize(
self._acting_on, shape=(self.n_operators, self._max_acting_size), init=-1
)
self._acting_on[-1, :acting_size] = acting_on
if (
self._acting_on[-1, :acting_size].max() > self.hilbert.size
or self._acting_on[-1, :acting_size].min() < 0
):
raise InvalidInputError("Operator acts on an invalid set of sites")
self._local_states = resize(
self._local_states,
shape=(
self.n_operators,
self._max_acting_size,
self._max_local_hilbert_size,
),
init=np.nan,
)
## add an operator to local_states
for site in range(acting_size):
self._local_states[-1, site, : n_local_states_per_site[site]] = np.asarray(
self.hilbert.states_at_index(acting_on[site])
)
## add an operator to basis
self._basis = resize(
self._basis, shape=(self.n_operators, self._max_acting_size), init=1e10
)
ba = 1
for s in range(acting_on.size):
self._basis[-1, s] = ba
ba *= n_local_states_per_site[acting_on.size - s - 1]
##
self._diag_mels = resize(
self._diag_mels, shape=(self.n_operators, self._max_op_size), init=np.nan
)
self._mels = resize(
self._mels,
shape=(self.n_operators, self._max_op_size, self._max_op_size - 1),
init=np.nan,
)
self._x_prime = resize(
self._x_prime,
shape=(
self.n_operators,
self._max_op_size,
self._max_op_size - 1,
self._max_acting_size,
),
init=-1,
)
self._n_conns = resize(
self._n_conns, shape=(self.n_operators, self._max_op_size), init=-1
)
if acting_on.max() + 1 >= self._size:
self._size = acting_on.max() + 1
self._append_matrix(
operator,
self._diag_mels[-1],
self._mels[-1],
self._x_prime[-1],
self._n_conns[-1],
self._acting_size[-1],
self._local_states[-1],
self.mel_cutoff,
n_local_states_per_site,
)
isherm = True
for op in self._operators:
isherm = isherm and is_hermitian(op)
self._is_hermitian = isherm
@staticmethod
@jit(nopython=True)
def _append_matrix(
operator,
diag_mels,
mels,
x_prime,
n_conns,
acting_size,
local_states_per_site,
epsilon,
hilb_size_per_site,
):
op_size = operator.shape[0]
assert op_size == operator.shape[1]
for i in range(op_size):
diag_mels[i] = operator[i, i]
n_conns[i] = 0
for j in range(op_size):
if i != j and np.abs(operator[i, j]) > epsilon:
k_conn = n_conns[i]
mels[i, k_conn] = operator[i, j]
_number_to_state(
j,
hilb_size_per_site,
local_states_per_site[:acting_size, :],
x_prime[i, k_conn, :acting_size],
)
n_conns[i] += 1
def _multiply_operator(self, op, act):
operators = []
acting_on = []
act = np.asarray(act)
for i in range(self.n_operators):
act_i = self._acting_on[i, : self._acting_size[i]]
inters = np.intersect1d(act_i, act, return_indices=False)
if act.size == act_i.size and np.array_equal(act, act_i):
# non-interesecting with same support
operators.append(np.copy(np.matmul(self._operators[i], op)))
acting_on.append(act_i.tolist())
elif inters.size == 0:
# disjoint supports
operators.append(np.copy(np.kron(self._operators[i], op)))
acting_on.append(act_i.tolist() + act.tolist())
else:
_act = list(act)
_act_i = list(act_i)
_op = op.copy()
_op_i = self._operators[i].copy()
# expand _act to match _act_i
actmin = min(act)
for site in act_i:
if site not in act:
I = np.eye(self.hilbert.shape[site], dtype=self.dtype)
if site < actmin:
_act = [site] + _act
_op = np.kron(I, _op)
else: # site > actmax
_act = _act + [site]
_op = np.kron(_op, I)
act_i_min = min(act_i)
for site in act:
if site not in act_i:
I = np.eye(self.hilbert.shape[site], dtype=self.dtype)
if site < act_i_min:
_act_i = [site] + _act_i
_op_i = np.kron(I, _op_i)
else: # site > actmax
_act_i = _act_i + [site]
_op_i = np.kron(_op_i, I)
# reorder
_op, _act = _reorder_matrix(self.hilbert, _op, _act)
_op_i, _act_i = _reorder_matrix(self.hilbert, _op_i, _act_i)
if len(_act) == len(_act_i) and np.array_equal(_act, _act_i):
# non-interesecting with same support
operators.append(np.matmul(_op_i, _op))
acting_on.append(_act_i)
else:
raise ValueError("Something failed")
return operators, acting_on
def copy(self, *, dtype: Optional = None):
"""Returns a copy of the operator, while optionally changing the dtype
of the operator.
Args:
dtype: optional dtype
"""
if dtype is None:
dtype = self.dtype
if not np.can_cast(self.dtype, dtype, casting="same_kind"):
raise ValueError(f"Cannot cast {self.dtype} to {dtype}")
return LocalOperator(
hilbert=self.hilbert,
operators=[np.copy(op) for op in self._operators],
acting_on=self._acting_on_list(),
constant=self._constant,
dtype=dtype,
)
def transpose(self, *, concrete=False):
r"""LocalOperator: Returns the tranpose of this operator."""
if concrete:
new_ops = [np.copy(ops.transpose()) for ops in self._operators]
return LocalOperator(
hilbert=self.hilbert,
operators=new_ops,
acting_on=self._acting_on_list(),
constant=self._constant,
)
else:
return Transpose(self)
def conjugate(self, *, concrete=False):
r"""LocalOperator: Returns the complex conjugate of this operator."""
new_ops = [np.copy(ops).conjugate() for ops in self._operators]
return LocalOperator(
hilbert=self.hilbert,
operators=new_ops,
acting_on=self._acting_on_list(),
constant=np.conjugate(self._constant),
)
def get_conn_flattened(self, x, sections, pad=False):
r"""Finds the connected elements of the Operator. Starting
from a given quantum number x, it finds all other quantum numbers x' such
that the matrix element :math:`O(x,x')` is different from zero. In general there
will be several different connected states x' satisfying this
condition, and they are denoted here :math:`x'(k)`, for :math:`k=0,1...N_{\mathrm{connected}}`.
This is a batched version, where x is a matrix of shape (batch_size,hilbert.size).
Args:
x (matrix): A matrix of shape (batch_size,hilbert.size) containing
the batch of quantum numbers x.
sections (array): An array of size (batch_size) useful to unflatten
the output of this function.
See numpy.split for the meaning of sections.
pad (bool): Whether to use zero-valued matrix elements in order to return all equal sections.
Returns:
matrix: The connected states x', flattened together in a single matrix.
array: An array containing the matrix elements :math:`O(x,x')` associated to each x'.
"""
return self._get_conn_flattened_kernel(
x,
sections,
self._local_states,
self._basis,
self._constant,
self._diag_mels,
self._n_conns,
self._mels,
self._x_prime,
self._acting_on,
self._acting_size,
pad,
)
def _get_conn_flattened_closure(self):
_local_states = self._local_states
_basis = self._basis
_constant = self._constant
_diag_mels = self._diag_mels
_n_conns = self._n_conns
_mels = self._mels
_x_prime = self._x_prime
_acting_on = self._acting_on
_acting_size = self._acting_size
fun = self._get_conn_flattened_kernel
def gccf_fun(x, sections):
return fun(
x,
sections,
_local_states,
_basis,
_constant,
_diag_mels,
_n_conns,
_mels,
_x_prime,
_acting_on,
_acting_size,
)
return jit(nopython=True)(gccf_fun)
@staticmethod
@jit(nopython=True)
def _get_conn_flattened_kernel(
x,
sections,
local_states,
basis,
constant,
diag_mels,
n_conns,
all_mels,
all_x_prime,
acting_on,
acting_size,
pad=False,
):
batch_size = x.shape[0]
n_sites = x.shape[1]
dtype = all_mels.dtype
assert sections.shape[0] == batch_size
n_operators = n_conns.shape[0]
xs_n = np.empty((batch_size, n_operators), dtype=np.intp)
tot_conn = 0
max_conn = 0
for b in range(batch_size):
# diagonal element
conn_b = 1
# counting the off-diagonal elements
for i in range(n_operators):
acting_size_i = acting_size[i]
xs_n[b, i] = 0
x_b = x[b]
x_i = x_b[acting_on[i, :acting_size_i]]
for k in range(acting_size_i):
xs_n[b, i] += (
np.searchsorted(
local_states[i, acting_size_i - k - 1],
x_i[acting_size_i - k - 1],
)
* basis[i, k]
)
conn_b += n_conns[i, xs_n[b, i]]
tot_conn += conn_b
sections[b] = tot_conn
if pad:
max_conn = max(conn_b, max_conn)
if pad:
tot_conn = batch_size * max_conn
x_prime = np.empty((tot_conn, n_sites), dtype=x.dtype)
mels = np.empty(tot_conn, dtype=dtype)
c = 0
for b in range(batch_size):
c_diag = c
mels[c_diag] = constant
x_batch = x[b]
x_prime[c_diag] = np.copy(x_batch)
c += 1
for i in range(n_operators):
# Diagonal part
mels[c_diag] += diag_mels[i, xs_n[b, i]]
n_conn_i = n_conns[i, xs_n[b, i]]
if n_conn_i > 0:
sites = acting_on[i]
acting_size_i = acting_size[i]
for cc in range(n_conn_i):
mels[c + cc] = all_mels[i, xs_n[b, i], cc]
x_prime[c + cc] = np.copy(x_batch)
for k in range(acting_size_i):
x_prime[c + cc, sites[k]] = all_x_prime[
i, xs_n[b, i], cc, k
]
c += n_conn_i
if pad:
delta_conn = max_conn - (c - c_diag)
mels[c : c + delta_conn].fill(0)
x_prime[c : c + delta_conn, :] = np.copy(x_batch)
c += delta_conn
sections[b] = c
return x_prime, mels
def get_conn_filtered(self, x, sections, filters):
r"""Finds the connected elements of the Operator using only a subset of operators. Starting
from a given quantum number x, it finds all other quantum numbers x' such
that the matrix element :math:`O(x,x')` is different from zero. In general there
will be several different connected states x' satisfying this
condition, and they are denoted here :math:`x'(k)`, for :math:`k=0,1...N_{\mathrm{connected}}`.
This is a batched version, where x is a matrix of shape (batch_size,hilbert.size).
Args:
x (matrix): A matrix of shape (batch_size,hilbert.size) containing
the batch of quantum numbers x.
sections (array): An array of size (batch_size) useful to unflatten
the output of this function.
See numpy.split for the meaning of sections.
filters (array): Only operators op(filters[i]) are used to find the connected elements of
x[i].
Returns:
matrix: The connected states x', flattened together in a single matrix.
array: An array containing the matrix elements :math:`O(x,x')` associated to each x'.
"""
return self._get_conn_filtered_kernel(
x,
sections,
self._local_states,
self._basis,
self._constant,
self._diag_mels,
self._n_conns,
self._mels,
self._x_prime,
self._acting_on,
self._acting_size,
filters,
)
@staticmethod
@jit(nopython=True)
def _get_conn_filtered_kernel(
x,
sections,
local_states,
basis,
constant,
diag_mels,
n_conns,
all_mels,
all_x_prime,
acting_on,
acting_size,
filters,
):
batch_size = x.shape[0]
n_sites = x.shape[1]
dtype = all_mels.dtype
assert filters.shape[0] == batch_size and sections.shape[0] == batch_size
n_operators = n_conns.shape[0]
xs_n = np.empty((batch_size, n_operators), dtype=np.intp)
tot_conn = 0
for b in range(batch_size):
# diagonal element
tot_conn += 1
# counting the off-diagonal elements
i = filters[b]
assert i < n_operators and i >= 0
acting_size_i = acting_size[i]
xs_n[b, i] = 0
x_b = x[b]
x_i = x_b[acting_on[i, :acting_size_i]]
for k in range(acting_size_i):
xs_n[b, i] += (
np.searchsorted(
local_states[i, acting_size_i - k - 1],
x_i[acting_size_i - k - 1],
)
* basis[i, k]
)
tot_conn += n_conns[i, xs_n[b, i]]
sections[b] = tot_conn
x_prime = np.empty((tot_conn, n_sites))
mels = np.empty(tot_conn, dtype=dtype)
c = 0
for b in range(batch_size):
c_diag = c
mels[c_diag] = constant
x_batch = x[b]
x_prime[c_diag] = np.copy(x_batch)
c += 1
i = filters[b]
# Diagonal part
mels[c_diag] += diag_mels[i, xs_n[b, i]]
n_conn_i = n_conns[i, xs_n[b, i]]
if n_conn_i > 0:
sites = acting_on[i]
acting_size_i = acting_size[i]
for cc in range(n_conn_i):
mels[c + cc] = all_mels[i, xs_n[b, i], cc]
x_prime[c + cc] = np.copy(x_batch)
for k in range(acting_size_i):
x_prime[c + cc, sites[k]] = all_x_prime[i, xs_n[b, i], cc, k]
c += n_conn_i
return x_prime, mels
def __repr__(self):
ao = self.acting_on
acting_str = f"acting_on={ao}"
if len(acting_str) > 55:
acting_str = f"#acting_on={len(ao)} locations"
return f"{type(self).__name__}(dim={self.hilbert.size}, {acting_str}, constant={self.constant}, dtype={self.dtype})"
|
py | 1a4ab6e66b90415bb5af54ad515227a3c333d277 | from collections import Counter
from django.core.management.base import BaseCommand
from django_orghierarchy.models import Organization
class Command(BaseCommand):
help = 'Generate distinct names for organizations'
def add_arguments(self, parser):
parser.add_argument(
'--all', help='Generate distinct names for all orgs (not duplicates)', action='store_true',
)
def handle(self, *args, **options):
# First we make sure the abbreviations are unique
orgs = Organization.objects.filter(dissolution_date=None).select_related('parent')
for org in orgs:
if org.abbreviation:
dupe_descendants = org.get_descendants().filter(abbreviation=org.abbreviation)
for dupe in dupe_descendants:
print('%s (abbreviation %s -> None)' % (dupe, dupe.abbreviation))
dupe.abbreviation = None
dupe.save(update_fields=['abbreviation'])
# Refresh from db
orgs = Organization.objects.filter(dissolution_date=None).select_related('parent')
orgs_by_name = {}
for org in orgs:
orgs_by_name.setdefault(org.name, []).append(org)
for org_name, duplicate_orgs in orgs_by_name.items():
if not options['all'] and len(duplicate_orgs) == 1:
continue
if len(duplicate_orgs) > 1:
print("%d duplicates for %s" % (len(duplicate_orgs), org_name))
if options['all']:
levels = 4
else:
levels = 1
# Keep on adding parent names until the names are distinct
while levels < 5:
distinct_names = [org.generate_distinct_name(levels) for org in duplicate_orgs]
c = Counter(distinct_names)
if max(c.values()) == 1:
break
levels += 1
for org in duplicate_orgs:
distinct_name = org.generate_distinct_name(levels)
print("\t%s" % distinct_name)
if org.distinct_name != distinct_name:
org.distinct_name = distinct_name
org.save(update_fields=['distinct_name'])
|
py | 1a4ab856f6c750a7acd22255af8324f7f90d638b | # -*- coding: utf-8 -*-
# Generated by Django 1.9.7 on 2016-06-23 08:59
from __future__ import unicode_literals
import django.contrib.postgres.fields.jsonb
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('helpdesk', '0012_queue_default_owner'),
]
operations = [
migrations.AddField(
model_name='followup',
name='options',
field=django.contrib.postgres.fields.jsonb.JSONField(blank=True, editable=False, null=True, verbose_name='Optional actions to perform for recipient'),
),
]
|
py | 1a4ab898373248015532c8ba853004272bdf0c19 | from inspect import signature
from typing import Any, Type, TypeVar
from httpx import Response
from .errors import TelePayError
T = TypeVar("T")
def validate_response(response: Response) -> None:
if response.status_code < 200 or response.status_code >= 300:
error_data = response.json()
error = error_data.pop("error", None)
message = error_data.pop("message", None)
raise TelePayError(
status_code=response.status_code,
error=error,
message=message,
)
def parse_json(cls: Type[T], **json: Any) -> T:
cls_fields = {field for field in signature(cls).parameters}
native_args, new_args = {}, {}
for name, val in json.items():
if name in cls_fields:
native_args[name] = val
else:
new_args[name] = val
ret = cls(**native_args)
for new_name, new_val in new_args.items():
setattr(ret, new_name, new_val)
return ret
|
py | 1a4ab8ffcfeb48f84537f08dbb9499ae6a0633c2 | # Copyright (C) 2019 The Raphielscape Company LLC.
#
# Licensed under the Raphielscape Public License, Version 1.d (the "License");
# you may not use this file except in compliance with the License.
#
# You can find misc modules, which dont fit in anything xD
""" scape module for other small commands. """
from random import randint
from time import sleep
from os import execl
import sys
import os
import io
import sys
from scape import BOTLOG, BOTLOG_CHATID, CMD_HELP, bot, GIT_REPO_NAME, ALIVE_NAME
from scape.events import register
from scape.utils import time_formatter
import urllib
import requests
from bs4 import BeautifulSoup
import re
from PIL import Image
# ================= CONSTANT =================
DEFAULTUSER = str(ALIVE_NAME) if ALIVE_NAME else uname().node
# ============================================
opener = urllib.request.build_opener()
useragent = 'Mozilla/5.0 (Linux; Android 9; SM-G960F Build/PPR1.180610.011; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/78.0.3904.70 Mobile Safari/537.36'
opener.addheaders = [('User-agent', useragent)]
@register(outgoing=True, pattern="^.random")
async def randomise(items):
""" For .random command, get a random item from the list of items. """
itemo = (items.text[8:]).split()
if len(itemo) < 2:
await items.edit(
"`2 or more items are required! Check .help random for more info.`"
)
return
index = randint(1, len(itemo) - 1)
await items.edit("**Query: **\n`" + items.text[8:] + "`\n**Output: **\n`" +
itemo[index] + "`")
@register(outgoing=True, pattern="^.sleep ([0-9]+)$")
async def sleepybot(time):
""" For .sleep command, let the scape snooze for a few second. """
counter = int(time.pattern_match.group(1))
await time.edit("`I am sulking and snoozing...`")
if BOTLOG:
str_counter = time_formatter(counter)
await time.client.send_message(
BOTLOG_CHATID,
f"You put the bot to sleep for {str_counter}.",
)
sleep(counter)
await time.edit("`OK, I'm awake now.`")
@register(outgoing=True, pattern="^.shutdown$")
async def killdabot(event):
""" For .shutdown command, shut the bot down."""
await event.edit("`Goodbye *Windows XP shutdown sound*....`")
if BOTLOG:
await event.client.send_message(BOTLOG_CHATID, "#SHUTDOWN \n"
"Bot shut down")
await bot.disconnect()
@register(outgoing=True, pattern="^.restart$")
async def killdabot(event):
await event.edit("`*i would be back in a moment*`")
if BOTLOG:
await event.client.send_message(BOTLOG_CHATID, "#RESTART \n"
"Bot Restarted")
await bot.disconnect()
# Spin a new instance of bot
execl(sys.executable, sys.executable, *sys.argv)
# Shut the existing one down
exit()
@register(outgoing=True, pattern="^.community$")
async def bot_community(community):
""" For .community command, just returns OG Paperplane's group link. """
await community.edit(
"Join RaphielGang's awesome scape community: @scape_support"
"\nDo note that Paperplane Extended is an unoficial fork of their "
"Paperplane project and it may get limited or no support for bugs.")
@register(outgoing=True, pattern="^.support$")
async def bot_support(wannahelp):
""" For .support command, just returns the group link. """
await wannahelp.edit(
"Join the scape-remix Channel: @scape-remix \
\nJoin the scape-remix Chat: @remixsupport")
@register(outgoing=True, pattern="^.creator$")
async def creator(e):
await e.edit("[Heyworld](https://github.com/sahyam2019)")
@register(outgoing=True, pattern="^.readme$")
async def reedme(e):
await e.edit(
"Here's something for you to read:\n"
"\n[Openscape's README.md file](https://github.com/mkaraniya/Openscape/blob/sql-extended/README.md)"
"\n[Setup Guide - Basic](https://telegra.ph/How-to-host-a-Telegram-scape-11-02)"
"\n[Setup Guide - Google Drive](https://telegra.ph/How-To-Setup-GDrive-11-02)"
"\n[Setup Guide - LastFM Module](https://telegra.ph/How-to-set-up-LastFM-module-for-Paperplane-scape-11-02)"
"\n[Video Tutorial - 576p](https://mega.nz/#!ErwCESbJ!1ZvYAKdTEfb6y1FnqqiLhHH9vZg4UB2QZNYL9fbQ9vs)"
"\n[Video Tutorial - 1080p](https://mega.nz/#!x3JVhYwR!u7Uj0nvD8_CyyARrdKrFqlZEBFTnSVEiqts36HBMr-o)"
"\n[Special - Note](https://telegra.ph/Special-Note-11-02)")
# Copyright (c) Gegham Zakaryan | 2019
@register(outgoing=True, pattern="^.repeat (.*)")
async def repeat(rep):
cnt, txt = rep.pattern_match.group(1).split(' ', 1)
replyCount = int(cnt)
toBeRepeated = txt
replyText = toBeRepeated + "\n"
for i in range(0, replyCount - 1):
replyText += toBeRepeated + "\n"
await rep.edit(replyText)
@register(outgoing=True, pattern="^.repo$")
async def repo_is_here(wannasee):
""" For .repo command, just returns the repo URL. """
await wannasee.edit(
"Click [here](https://github.com/Calliope-K/Scape-Remix) to open scape-remix's GitHub page."
)
@register(outgoing=True, pattern="^.myrepo$")
async def myrepo_is_here(wannaseeme):
""" For .myrepo command, just returns the repo URL. """
await wannaseeme.edit(
f'Click [here](https://github.com/{GIT_REPO_NAME}/tree/sql-extended/) to open {DEFAULTUSER}`s GitHub page'
)
@register(outgoing=True, pattern="^.raw$")
async def raw(event):
the_real_message = None
reply_to_id = None
if event.reply_to_msg_id:
previous_message = await event.get_reply_message()
the_real_message = previous_message.stringify()
reply_to_id = event.reply_to_msg_id
else:
the_real_message = event.stringify()
reply_to_id = event.message.id
with io.BytesIO(str.encode(the_real_message)) as out_file:
out_file.name = "raw_message_data.txt"
await event.edit(
"`Check the scape log for the decoded message data !!`")
await event.client.send_file(
BOTLOG_CHATID,
out_file,
force_document=True,
allow_cache=False,
reply_to=reply_to_id,
caption="`Here's the decoded message data !!`")
@register(outgoing=True, pattern=r"^.reverse(?: |$)(\d*)")
async def okgoogle(img):
""" For .reverse command, Google search images and stickers. """
if os.path.isfile("okgoogle.png"):
os.remove("okgoogle.png")
message = await img.get_reply_message()
if message and message.media:
photo = io.BytesIO()
await bot.download_media(message, photo)
else:
await img.edit("`Reply to photo or sticker nigger.`")
return
if photo:
await img.edit("`Processing...`")
try:
image = Image.open(photo)
except OSError:
await img.edit('`Unsupported sexuality, most likely.`')
return
name = "okgoogle.png"
image.save(name, "PNG")
image.close()
# https://stackoverflow.com/questions/23270175/google-reverse-image-search-using-post-request#28792943
searchUrl = 'https://www.google.com/searchbyimage/upload'
multipart = {
'encoded_image': (name, open(name, 'rb')),
'image_content': ''
}
response = requests.post(searchUrl,
files=multipart,
allow_redirects=False)
fetchUrl = response.headers['Location']
if response != 400:
await img.edit("`Image successfully uploaded to Google. Maybe.`"
"\n`Parsing source now. Maybe.`")
else:
await img.edit("`Google told me to fuck off.`")
return
os.remove(name)
match = await ParseSauce(fetchUrl +
"&preferences?hl=en&fg=1#languages")
guess = match['best_guess']
imgspage = match['similar_images']
if guess and imgspage:
await img.edit(f"[{guess}]({fetchUrl})\n\n`Looking for images...`")
else:
await img.edit("`Couldn't find anything for your uglyass.`")
return
if img.pattern_match.group(1):
lim = img.pattern_match.group(1)
else:
lim = 3
images = await scam(match, lim)
yeet = []
for i in images:
k = requests.get(i)
yeet.append(k.content)
try:
await img.client.send_file(entity=await
img.client.get_input_entity(img.chat_id
),
file=yeet,
reply_to=img)
except TypeError:
pass
await img.edit(
f"[{guess}]({fetchUrl})\n\n[Visually similar images]({imgspage})")
async def ParseSauce(googleurl):
"""Parse/Scrape the HTML code for the info we want."""
source = opener.open(googleurl).read()
soup = BeautifulSoup(source, 'html.parser')
results = {'similar_images': '', 'best_guess': ''}
try:
for similar_image in soup.findAll('input', {'class': 'gLFyf'}):
url = 'https://www.google.com/search?tbm=isch&q=' + \
urllib.parse.quote_plus(similar_image.get('value'))
results['similar_images'] = url
except BaseException:
pass
for best_guess in soup.findAll('div', attrs={'class': 'r5a77d'}):
results['best_guess'] = best_guess.get_text()
return results
async def scam(results, lim):
single = opener.open(results['similar_images']).read()
decoded = single.decode('utf-8')
imglinks = []
counter = 0
pattern = r'^,\[\"(.*[.png|.jpg|.jpeg])\",[0-9]+,[0-9]+\]$'
oboi = re.findall(pattern, decoded, re.I | re.M)
for imglink in oboi:
counter += 1
if not counter >= int(lim):
imglinks.append(imglink)
else:
break
return imglinks
CMD_HELP.update({
"misc":
"`.random` <item1> <item2> ... <itemN>\
\nUsage: Get a random item from the list of items.\
\n\n`.sleep` <seconds>\
\nusage:scapes get tired too. Let yours snooze for a few seconds.\
\n\n`.shutdown`\
\nUsage: Shutdowns the bot temporarily\
\n\n`.support`\
\nUsage: if you need help, use this command\
\n\n`.community`\
\nUsage: Join the awesome Openscape community !!\
\n\n`.repo`\
\nUsage: If you are curious what makes the scape work, this is what you need !!\
\n\n`.myrepo`\
\nUsage: If you are curious which is your personal repo, this is what you have.\
\n\n`.readme`\
\nUsage: Provide links to setup the scape and it's modules.\
\n\n`.creator`\
\nUsage: Know who created this awesome scape !!\
\n\n`.repeat` <no.> <text>\
\nUsage: Repeats the text for a number of times. Don't confuse this with spam tho.\
\n\n`.restart`\
\nUsage: Restarts the bot !!\
\n\n`.raw`\
\nUsage: Get detailed JSON-like formatted data about replied message.\
\n\n`.reverse`\
\nUsage: Reply to a pic/sticker to revers-search it on Google Images.\
\n\n: `.poll`\
\nUsage:If you doesnt give any input it sends a default poll. if you like customize it then use this syntax:\
\n `.poll question ; option 1; option2 ;`\
\n ';' this seperates the each option and question."
})
|
py | 1a4ab97884e06c6fec5d9d2ae0ccb0eb3d305716 | from django.conf.urls import include, url
from django.contrib import admin
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from django.views.generic import RedirectView
try:
from django.urls import reverse_lazy
except ImportError:
from django.core.urlresolvers import reverse_lazy
redirect_view = RedirectView.as_view(url=reverse_lazy('admin:index'))
urlpatterns = [
url(r'^admin/', admin.site.urls),
url(r'', include('openwisp_controller.urls')),
{% if openwisp2_network_topology %}
url(r'^', include('openwisp_network_topology.urls')),
{% endif %}
{% for extra_url in openwisp2_extra_urls %}
{{ extra_url }},
{% endfor %}
url(r'^$', redirect_view, name='index')
]
urlpatterns += staticfiles_urlpatterns()
|
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