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26d13e4f0ecb08e455798eadfe6fa1e6ec855e3a | cd847bb6162a44945e7882992be6a8e99cd475b2 | /venv/bin/venv/bin/wheel | a26c6118b433f85ea2d30bd0128814e1bbf1d383 | [] | no_license | jasvr/wags_to_wings | 60e04375e3273e9db23f16d7f7d18263e5b14a93 | d03edcdd0db27efadb5ec7e8321ae30f23f0216a | refs/heads/master | 2020-05-04T23:42:55.924620 | 2019-04-04T22:40:55 | 2019-04-04T22:40:55 | 179,553,036 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 260 | #!/Users/jasvrgs/wdi/projects/hackathon/venv/bin/venv/bin/python3.7
# -*- coding: utf-8 -*-
import re
import sys
from wheel.cli import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"[email protected]"
] | ||
0797c38ecbcb2da8282bce24c83e9395a01d75d1 | 305c8c0fe2453dd23918469240b3d8c872158d1f | /nlpr/proj/simple/runscript_head_test.py | e6d35761838183c2c728f2ef6de6241dc25c1f98 | [] | no_license | zphang/nlprunners | 184204927634b13325aa6fdf5edf6daccc9244bf | 37edf660058af055e4b4807c6980dae7e03a005f | refs/heads/master | 2020-06-28T01:36:18.266726 | 2020-01-20T05:49:10 | 2020-01-20T05:49:10 | 200,107,335 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,656 | py | import os
import torch
import zconf
import nlpr.shared.initialization as initialization
import nlpr.shared.distributed as distributed
import nlpr.shared.model_setup as model_setup
import nlpr.shared.model_resolution as model_resolution
import nlpr.shared.train_setup as train_setup
import nlpr.tasks as tasks
import nlpr.tasks.evaluate as evaluate
import nlpr.proj.simple.runner as simple_runner
import nlpr.shared.metarunner as metarunner
@zconf.run_config
class RunConfiguration(zconf.RunConfig):
# === Required parameters === #
task_config_path = zconf.attr(type=str, required=True)
output_dir = zconf.attr(type=str, required=True)
# === Model parameters === #
model_type = zconf.attr(type=str, required=True)
model_path = zconf.attr(type=str, required=True)
model_config_path = zconf.attr(default=None, type=str)
model_tokenizer_path = zconf.attr(default=None, type=str)
model_load_mode = zconf.attr(default="safe", type=str)
model_save_mode = zconf.attr(default="all", type=str)
max_seq_length = zconf.attr(default=128, type=int)
# === Running Setup === #
# cache_dir
do_train = zconf.attr(action='store_true')
do_val = zconf.attr(action='store_true')
do_test = zconf.attr(action='store_true')
do_save = zconf.attr(action="store_true")
eval_every_steps = zconf.attr(type=int, default=0)
save_every_steps = zconf.attr(type=int, default=0)
partial_eval_number = zconf.attr(type=int, default=1000)
train_batch_size = zconf.attr(default=8, type=int) # per gpu
eval_batch_size = zconf.attr(default=8, type=int) # per gpu
force_overwrite = zconf.attr(action="store_true")
# overwrite_cache = zconf.attr(action="store_true")
seed = zconf.attr(type=int, default=-1)
train_examples_number = zconf.attr(type=int, default=None)
train_examples_fraction = zconf.attr(type=float, default=None)
# === Training Learning Parameters === #
learning_rate = zconf.attr(default=1e-5, type=float)
num_train_epochs = zconf.attr(default=3, type=int)
max_steps = zconf.attr(default=None, type=int)
adam_epsilon = zconf.attr(default=1e-8, type=float)
max_grad_norm = zconf.attr(default=1.0, type=float)
warmup_steps = zconf.attr(default=None, type=int)
warmup_proportion = zconf.attr(default=0.1, type=float)
optimizer_type = zconf.attr(default="adam", type=str)
# Specialized config
gradient_accumulation_steps = zconf.attr(default=1, type=int)
no_cuda = zconf.attr(action='store_true')
fp16 = zconf.attr(action='store_true')
fp16_opt_level = zconf.attr(default='O1', type=str)
local_rank = zconf.attr(default=-1, type=int)
server_ip = zconf.attr(default='', type=str)
server_port = zconf.attr(default='', type=str)
# Head
head_epochs = zconf.attr(default=1, type=int)
head_max_steps = zconf.attr(default=1000, type=int)
def main(args):
quick_init_out = initialization.quick_init(args=args, verbose=True)
with quick_init_out.log_writer.log_context():
task = tasks.create_task_from_config_path(
config_path=args.task_config_path,
verbose=True,
)
with distributed.only_first_process(local_rank=args.local_rank):
# load the model
model_class_spec = model_resolution.resolve_model_setup_classes(
model_type=args.model_type,
task_type=task.TASK_TYPE,
)
model_wrapper = model_setup.simple_model_setup(
model_type=args.model_type,
model_class_spec=model_class_spec,
config_path=args.model_config_path,
tokenizer_path=args.model_tokenizer_path,
task=task,
)
model_setup.simple_load_model_path(
model=model_wrapper.model,
model_load_mode=args.model_load_mode,
model_path=args.model_path,
)
model_wrapper.model.to(quick_init_out.device)
train_examples = task.get_train_examples()
train_examples, _ = train_setup.maybe_subsample_train(
train_examples=train_examples,
train_examples_number=args.train_examples_number,
train_examples_fraction=args.train_examples_fraction,
)
num_train_examples = len(train_examples)
loss_criterion = train_setup.resolve_loss_function(task_type=task.TASK_TYPE)
rparams = simple_runner.RunnerParameters(
feat_spec=model_resolution.build_featurization_spec(
model_type=args.model_type,
max_seq_length=args.max_seq_length,
),
local_rank=args.local_rank,
n_gpu=quick_init_out.n_gpu,
fp16=args.fp16,
learning_rate=args.learning_rate,
eval_batch_size=args.eval_batch_size,
max_grad_norm=args.max_grad_norm,
)
# Head
head_train_schedule = train_setup.get_train_schedule(
num_train_examples=num_train_examples,
max_steps=args.head_max_steps,
num_train_epochs=args.head_epochs,
gradient_accumulation_steps=args.gradient_accumulation_steps,
per_gpu_train_batch_size=args.train_batch_size,
n_gpu=quick_init_out.n_gpu,
)
head_optimizer_scheduler = model_setup.create_optimizer_from_params(
named_parameters=train_setup.get_head_named_parameters(model_wrapper.model),
learning_rate=args.learning_rate,
t_total=head_train_schedule.t_total,
warmup_steps=args.warmup_steps,
warmup_proportion=args.warmup_proportion,
optimizer_type=args.optimizer_type,
verbose=True,
)
model_setup.special_model_setup(
model_wrapper=model_wrapper,
optimizer_scheduler=head_optimizer_scheduler,
fp16=args.fp16, fp16_opt_level=args.fp16_opt_level,
n_gpu=quick_init_out.n_gpu, local_rank=args.local_rank,
)
head_runner = simple_runner.SimpleTaskRunner(
task=task,
model_wrapper=model_wrapper,
optimizer_scheduler=head_optimizer_scheduler,
loss_criterion=loss_criterion,
device=quick_init_out.device,
rparams=rparams,
train_schedule=head_train_schedule,
log_writer=quick_init_out.log_writer,
)
# Main
train_schedule = train_setup.get_train_schedule(
num_train_examples=num_train_examples,
max_steps=args.max_steps,
num_train_epochs=args.num_train_epochs,
gradient_accumulation_steps=args.gradient_accumulation_steps,
per_gpu_train_batch_size=args.train_batch_size,
n_gpu=quick_init_out.n_gpu,
)
quick_init_out.log_writer.write_entry("text", f"t_total: {train_schedule.t_total}", do_print=True)
optimizer_scheduler = model_setup.create_optimizer(
model=model_wrapper.model,
learning_rate=args.learning_rate,
t_total=train_schedule.t_total,
warmup_steps=args.warmup_steps,
warmup_proportion=args.warmup_proportion,
optimizer_type=args.optimizer_type,
verbose=True,
)
model_setup.special_model_setup(
model_wrapper=model_wrapper,
optimizer_scheduler=optimizer_scheduler,
fp16=args.fp16, fp16_opt_level=args.fp16_opt_level,
n_gpu=quick_init_out.n_gpu, local_rank=args.local_rank,
)
runner = simple_runner.SimpleTaskRunner(
task=task,
model_wrapper=model_wrapper,
optimizer_scheduler=optimizer_scheduler,
loss_criterion=loss_criterion,
device=quick_init_out.device,
rparams=rparams,
train_schedule=train_schedule,
log_writer=quick_init_out.log_writer,
)
if args.do_train:
print("Head training")
head_runner.run_train(train_examples)
print("Main training")
val_examples = task.get_val_examples()
metarunner.MetaRunner(
runner=runner,
train_examples=train_examples,
val_examples=val_examples[:args.partial_eval_number], # quick and dirty
should_save_func=metarunner.get_should_save_func(args.save_every_steps),
should_eval_func=metarunner.get_should_eval_func(args.eval_every_steps),
output_dir=args.output_dir,
verbose=True,
save_best_model=args.do_save,
load_best_model=True,
log_writer=quick_init_out.log_writer,
).train_val_save_every()
if args.do_save:
torch.save(
model_wrapper.model.state_dict(),
os.path.join(args.output_dir, "model.p")
)
if args.do_val:
val_examples = task.get_val_examples()
results = runner.run_val(val_examples)
evaluate.write_val_results(
results=results,
output_dir=args.output_dir,
verbose=True,
)
if args.do_test:
test_examples = task.get_test_examples()
logits = runner.run_test(test_examples)
evaluate.write_preds(
logits=logits,
output_path=os.path.join(args.output_dir, "test_preds.csv"),
)
if __name__ == "__main__":
main(args=RunConfiguration.run_cli_json_prepend())
| [
"[email protected]"
] | |
f2398df072c2823250de00bbb203a6dd068f4684 | 96dcea595e7c16cec07b3f649afd65f3660a0bad | /tests/components/rainbird/__init__.py | f2d3f91e0981ece04b6389338422272a460f1b75 | [
"Apache-2.0"
] | permissive | home-assistant/core | 3455eac2e9d925c92d30178643b1aaccf3a6484f | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | refs/heads/dev | 2023-08-31T15:41:06.299469 | 2023-08-31T14:50:53 | 2023-08-31T14:50:53 | 12,888,993 | 35,501 | 20,617 | Apache-2.0 | 2023-09-14T21:50:15 | 2013-09-17T07:29:48 | Python | UTF-8 | Python | false | false | 42 | py | """Tests for the rainbird integration."""
| [
"[email protected]"
] | |
61800f469bd79f4a99bbc707dbf177d0e80735dd | b45b8ad36b3cd9b625a16af014c4dd735602e97f | /Python语言程序设计/Week9面向对象/1、面向对象/jam_10_元类.py | 03723960f8bc1205ce9539185bf1cac1f05827b0 | [] | no_license | YuanXianguo/Python-MOOC-2019 | c4935cbbb7e86568aa7a25cb0bd867b3f5779130 | f644380427b4a6b1959c49f134a1e27db4b72cc9 | refs/heads/master | 2020-11-26T18:38:22.530813 | 2019-12-20T02:51:52 | 2019-12-20T02:51:52 | 229,173,967 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 287 | py | def run(self):
print("{}会跑".format(self.name))
# type称为元类，可以创建类，参数：类名，父类（元组），属性（字典）
# 可以在用属性引用一个函数作为方法
Test = type("Test", (object,), {"name": "test", "run": run})
t = Test()
t.run()
| [
"[email protected]"
] | |
dedb5daeed1de9d8fb153d68ae4e7352469334d3 | 98c6ea9c884152e8340605a706efefbea6170be5 | /examples/data/Assignment_1/krmtsi001/question2.py | 70123bdafa165e39c9cdea9ad141336d1a5e6aa8 | [] | no_license | MrHamdulay/csc3-capstone | 479d659e1dcd28040e83ebd9e3374d0ccc0c6817 | 6f0fa0fa1555ceb1b0fb33f25e9694e68b6a53d2 | refs/heads/master | 2021-03-12T21:55:57.781339 | 2014-09-22T02:22:22 | 2014-09-22T02:22:22 | 22,372,174 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 843 | py | def timer():
hours=eval(input("Enter the hours:\n"))
minutes=eval (input("Enter the minutes:\n"))
seconds=eval(input("Enter the seconds:\n"))
if(0<=hours<=23):
if(0<=minutes<=59):
if(0<=seconds<=59):
print("Your time is valid.")
else:
print("Your time is invalid.")
else:
print("Your time is invalid.")
else:
print("Your time is invalid.")
timer() | [
"[email protected]"
] | |
a1c2c7dbc12133aa3a288096226940ec519752e0 | 2f98aa7e5bfc2fc5ef25e4d5cfa1d7802e3a7fae | /python/python_4079.py | 1fb3f1647f5375496e3f6bf6db519750731e1d1a | [] | no_license | AK-1121/code_extraction | cc812b6832b112e3ffcc2bb7eb4237fd85c88c01 | 5297a4a3aab3bb37efa24a89636935da04a1f8b6 | refs/heads/master | 2020-05-23T08:04:11.789141 | 2015-10-22T19:19:40 | 2015-10-22T19:19:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 110 | py | # Python PyCrypto and RSA problem
import Crypto.PublicKey.RSA
impl = Crypto.PublicKey.RSA.RSAImplementation()
| [
"[email protected]"
] | |
dbeeef05b86bdf486c9b96b36c84624c17e9f3b0 | e10a6d844a286db26ef56469e31dc8488a8c6f0e | /ipagnn/adapters/common_adapters_test.py | 1a4022ad703be31751ce21dbd2b8f1c7fd8e4246 | [
"Apache-2.0",
"CC-BY-4.0"
] | permissive | Jimmy-INL/google-research | 54ad5551f97977f01297abddbfc8a99a7900b791 | 5573d9c5822f4e866b6692769963ae819cb3f10d | refs/heads/master | 2023-04-07T19:43:54.483068 | 2023-03-24T16:27:28 | 2023-03-24T16:32:17 | 282,682,170 | 1 | 0 | Apache-2.0 | 2020-07-26T15:50:32 | 2020-07-26T15:50:31 | null | UTF-8 | Python | false | false | 1,165 | py | # coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# 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.
"""Tests for Learned Interpreters workflows."""
from absl.testing import absltest
import jax.numpy as jnp
from ipagnn.adapters import common_adapters
class CommonAdaptersTest(absltest.TestCase):
def test_compute_weighted_cross_entropy(self):
logits = jnp.array([
[[.8, .2, -.5],
[.2, .5, -.1]],
[[.1, -.2, .2],
[.4, -.5, .1]],
])
labels = jnp.array([
[0, 1],
[2, 2],
])
common_adapters.compute_weighted_cross_entropy(logits, labels)
if __name__ == '__main__':
absltest.main()
| [
"[email protected]"
] | |
11a768e5cb050aff0f5193393950a1a5603947ed | 53dd5d2cfb79edc87f6c606bbfb7d0bedcf6da61 | /.history/EMR/EMRzdyj_20190422140749.py | 7acb80b6448a09bdb1f2a5d6aac099e548cb7519 | [] | no_license | cyc19950621/python | 4add54894dc81187211aa8d45e5115903b69a182 | d184b83e73334a37d413306d3694e14a19580cb0 | refs/heads/master | 2020-04-11T20:39:34.641303 | 2019-07-02T12:54:49 | 2019-07-02T12:54:49 | 162,078,640 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,837 | py | #-*- coding: UTF-8 -*-
#本文件用于提取目标目录中的所有txt，并提取关键词所在行到指定目录，并提取关键词新建文件
import time
import math
import os
import sys
import os, os.path,shutil
import codecs
import EMRdef
import re
emrtxts = EMRdef.txttq(u'D:\DeepLearning ER\EHR')#txt目录提取
zljhs = []
for emrtxt in emrtxts:
f = open(emrtxt,'r',errors="ignore")#中文加入errors
emrtxt = os.path.basename(emrtxt)
emrtxt_str = re.findall(r'(^.+?)\_',emrtxt)#提取ID
emrtxt = "".join(emrtxt_str)#转成str
pattern = r',|.|，|。|;|；'#清除标点
#txtp=txtp.decode('utf-8')
temp_line = []
for line in f.readlines():
line = re.sub(' ','',line)#删除空格
if line.find(u'程传输')<=-1:
temp_line.append(line)
else:
break
for line in temp_line:
if line.find (u'诊断依据：',0,6) >-1:
line = re.sub(r'h|H', '小时', line)#小时替换成中文
line = re.sub(r'诊断依据：', '', line)#删除入院诊断字样
line_deldl = re.split(r'。',line)#根据标点分行
line_deld = '\n'.join(line_deldl) #转成str格式
line_out = re.sub(r'\d+、|\d+）、|\d+\)、|\d+\）|\(+\d+\)|①|②|③|④|⑤|⑥|⑦','',line_deld) #删除序号
line_output = re.split('\n',line_out)
line = '\n'.join(line_output)
a = re.sub(r'(.*)'+'“'|'”为主诉'+r'(.*)','',line)
line = ''.join(a)
EMRdef.text_create(r'D:\DeepLearning ER\EHRzdyj','.txt' ,emrtxt,line)#导出带有诊疗计划的文件和诊疗计划
#zljhs.append(emrtxt+':'+line)
#EMRdef.text_save('D:\python\EMR\zljh.txt',zljhs)
| [
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] | |
12cd595216aaec389302a4fc2da3f699ecce6efa | 2e2fd08363b2ae29e3c7e7e836480a94e08fb720 | /tensorflow_datasets/audio/groove.py | ed305c8e845763befe4d4056fce34183bdcc5836 | [
"Apache-2.0"
] | permissive | Nikhil1O1/datasets | 5af43d27aaf677dc7b3f8982b11a41d9e01ea793 | 311280c12f8b4aa9e5634f60cd8a898c3926c8e5 | refs/heads/master | 2022-12-27T00:20:50.458804 | 2020-10-15T10:29:12 | 2020-10-15T10:30:52 | 304,363,476 | 0 | 1 | Apache-2.0 | 2020-10-15T15:10:31 | 2020-10-15T15:07:37 | null | UTF-8 | Python | false | false | 8,466 | py | # coding=utf-8
# Copyright 2020 The TensorFlow Datasets Authors.
#
# 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.
"""Groove Midi Dataset (GMD)."""
import collections
import copy
import csv
import io
import os
from absl import logging
import numpy as np
import tensorflow.compat.v2 as tf
import tensorflow_datasets.public_api as tfds
_DESCRIPTION = """\
The Groove MIDI Dataset (GMD) is composed of 13.6 hours of aligned MIDI and
(synthesized) audio of human-performed, tempo-aligned expressive drumming
captured on a Roland TD-11 V-Drum electronic drum kit.
"""
_CITATION = """
@inproceedings{groove2019,
Author = {Jon Gillick and Adam Roberts and Jesse Engel and Douglas Eck and David Bamman},
Title = {Learning to Groove with Inverse Sequence Transformations},
Booktitle = {International Conference on Machine Learning (ICML)}
Year = {2019},
}
"""
_PRIMARY_STYLES = [
"afrobeat", "afrocuban", "blues", "country", "dance", "funk", "gospel",
"highlife", "hiphop", "jazz", "latin", "middleeastern", "neworleans", "pop",
"punk", "reggae", "rock", "soul"]
_TIME_SIGNATURES = ["3-4", "4-4", "5-4", "5-8", "6-8"]
_DOWNLOAD_URL = "https://storage.googleapis.com/magentadata/datasets/groove/groove-v1.0.0.zip"
_DOWNLOAD_URL_MIDI_ONLY = "https://storage.googleapis.com/magentadata/datasets/groove/groove-v1.0.0-midionly.zip"
class GrooveConfig(tfds.core.BuilderConfig):
"""BuilderConfig for Groove Dataset."""
def __init__(self, split_bars=None, include_audio=True, audio_rate=16000,
**kwargs):
"""Constructs a GrooveConfig.
Args:
split_bars: int, number of bars to include per example using a sliding
window across the raw data, or will not split if None.
include_audio: bool, whether to include audio in the examples. If True,
examples with missing audio will be excluded.
audio_rate: int, sample rate to use for audio.
**kwargs: keyword arguments forwarded to super.
"""
name_parts = [("%dbar" % split_bars) if split_bars else "full"]
if include_audio:
name_parts.append("%dhz" % audio_rate)
else:
name_parts.append("midionly")
super(GrooveConfig, self).__init__(
name="-".join(name_parts),
version=tfds.core.Version("2.0.1"),
**kwargs,
)
self.split_bars = split_bars
self.include_audio = include_audio
self.audio_rate = audio_rate
class Groove(tfds.core.GeneratorBasedBuilder):
"""The Groove MIDI Dataset (GMD) of drum performances."""
BUILDER_CONFIGS = [
GrooveConfig(
include_audio=False,
description="Groove dataset without audio, unsplit."
),
GrooveConfig(
include_audio=True,
description="Groove dataset with audio, unsplit."
),
GrooveConfig(
include_audio=False,
split_bars=2,
description="Groove dataset without audio, split into 2-bar chunks."
),
GrooveConfig(
include_audio=True,
split_bars=2,
description="Groove dataset with audio, split into 2-bar chunks."
),
GrooveConfig(
include_audio=False,
split_bars=4,
description="Groove dataset without audio, split into 4-bar chunks."
),
]
def _info(self):
features_dict = {
"id": tf.string,
"drummer":
tfds.features.ClassLabel(
names=["drummer%d" % i for i in range(1, 11)]),
"type": tfds.features.ClassLabel(names=["beat", "fill"]),
"bpm": tf.int32,
"time_signature": tfds.features.ClassLabel(names=_TIME_SIGNATURES),
"style": {
"primary": tfds.features.ClassLabel(names=_PRIMARY_STYLES),
"secondary": tf.string,
},
"midi": tf.string
}
if self.builder_config.include_audio:
features_dict["audio"] = tfds.features.Audio(
dtype=tf.float32, sample_rate=self.builder_config.audio_rate)
return tfds.core.DatasetInfo(
builder=self,
description=_DESCRIPTION,
features=tfds.features.FeaturesDict(features_dict),
homepage="https://g.co/magenta/groove-dataset",
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Returns splits."""
# Download data.
data_dir = os.path.join(
dl_manager.download_and_extract(
_DOWNLOAD_URL if self._builder_config.include_audio else
_DOWNLOAD_URL_MIDI_ONLY),
"groove")
rows = collections.defaultdict(list)
with tf.io.gfile.GFile(os.path.join(data_dir, "info.csv")) as f:
reader = csv.DictReader(f)
for row in reader:
rows[row["split"]].append(row)
return [
tfds.core.SplitGenerator( # pylint: disable=g-complex-comprehension
name=split,
gen_kwargs={"rows": split_rows, "data_dir": data_dir})
for split, split_rows in rows.items()]
def _generate_examples(self, rows, data_dir):
split_bars = self._builder_config.split_bars
for row in rows:
split_genre = row["style"].split("/")
with tf.io.gfile.GFile(
os.path.join(data_dir, row["midi_filename"]), "rb") as midi_f:
midi = midi_f.read()
audio = None
if self._builder_config.include_audio:
if not row["audio_filename"]:
# Skip examples with no audio.
logging.warning("Skipping example with no audio: %s", row["id"])
continue
wav_path = os.path.join(data_dir, row["audio_filename"])
audio = _load_wav(wav_path, self._builder_config.audio_rate)
example = {
"id": row["id"],
"drummer": row["drummer"],
"type": row["beat_type"],
"bpm": int(row["bpm"]),
"time_signature": row["time_signature"],
"style": {
"primary": split_genre[0],
"secondary": split_genre[1] if len(split_genre) == 2 else ""
},
}
if not split_bars:
# Yield full example.
example["midi"] = midi
if audio is not None:
example["audio"] = audio
yield example["id"], example
else:
# Yield split examples.
bpm = int(row["bpm"])
beats_per_bar = int(row["time_signature"].split("-")[0])
bar_duration = 60 / bpm * beats_per_bar
audio_rate = self._builder_config.audio_rate
pm = tfds.core.lazy_imports.pretty_midi.PrettyMIDI(io.BytesIO(midi))
total_duration = pm.get_end_time()
# Pad final bar if at least half filled.
total_bars = int(round(total_duration / bar_duration))
total_frames = int(total_bars * bar_duration * audio_rate)
if audio is not None and len(audio) < total_frames:
audio = np.pad(audio, [0, total_frames - len(audio)], "constant")
for i in range(total_bars - split_bars + 1):
time_range = [i * bar_duration, (i + split_bars) * bar_duration]
# Split MIDI.
pm_split = copy.deepcopy(pm)
pm_split.adjust_times(time_range, [0, split_bars * bar_duration])
pm_split.time_signature_changes = pm.time_signature_changes
midi_split = io.BytesIO()
pm_split.write(midi_split)
example["midi"] = midi_split.getvalue()
# Split audio.
if audio is not None:
example["audio"] = audio[
int(time_range[0] * audio_rate):
int(time_range[1] * audio_rate)]
example["id"] += ":%03d" % i
yield example["id"], example
def _load_wav(path, sample_rate):
with tf.io.gfile.GFile(path, "rb") as audio_f:
audio_segment = tfds.core.lazy_imports.pydub.AudioSegment.from_file(
audio_f, format="wav").set_channels(1).set_frame_rate(sample_rate)
audio = np.array(audio_segment.get_array_of_samples()).astype(np.float32)
# Convert from int to float representation.
audio /= 2**(8 * audio_segment.sample_width)
return audio
| [
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] | |
647eb0c247d92d421b317ab1114d9bf82e66f4d5 | 9edaf93c833ba90ae9a903aa3c44c407a7e55198 | /autosar/models/bsw_internal_behavior_subtypes_enum.py | 1c215010479de31b0fe70b14ce7782accfe53979 | [] | no_license | tefra/xsdata-samples | c50aab4828b8c7c4448dbdab9c67d1ebc519e292 | ef027fe02e6a075d8ed676c86a80e9647d944571 | refs/heads/main | 2023-08-14T10:31:12.152696 | 2023-07-25T18:01:22 | 2023-07-25T18:01:22 | 222,543,692 | 6 | 1 | null | 2023-06-25T07:21:04 | 2019-11-18T21:00:37 | Python | UTF-8 | Python | false | false | 171 | py | from enum import Enum
__NAMESPACE__ = "http://autosar.org/schema/r4.0"
class BswInternalBehaviorSubtypesEnum(Enum):
BSW_INTERNAL_BEHAVIOR = "BSW-INTERNAL-BEHAVIOR"
| [
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] | |
fa441165e9c8186f8a8823b6af81f6ead2fdf63e | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/438/usersdata/309/98435/submittedfiles/pico.py | c35ed557c01838f28a74350f9a1bcb6cfd1089fd | [] | no_license | rafaelperazzo/programacao-web | 95643423a35c44613b0f64bed05bd34780fe2436 | 170dd5440afb9ee68a973f3de13a99aa4c735d79 | refs/heads/master | 2021-01-12T14:06:25.773146 | 2017-12-22T16:05:45 | 2017-12-22T16:05:45 | 69,566,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 704 | py | # -*- coding: utf-8 -*-
def pico(lista):
x=[]
n=len(lista)
for i in range (0,n-1,1):
if (lista[i] > lista[i+1]):
x.append(1)
elif (lista[i] < lista[i+1]):
x.append(2)
else :
x.append(0)
k= sorted(x)
if (x==k):
if (0 in x ):
print("N")
elif (1 in x and 2 in x):
print ("S")
else:
print("N")
# PROGRAMA PRINCIPAL
n = int(input('Digite a quantidade de elementos da lista: '))
lista=[]
for i in range (0,n,1):
lista.append(int(input("Digite um elemeto para o seu vetor:" )))
pico(lista)
| [
"[email protected]"
] | |
888c07976bb9ed42e9facf2f077f76c39b73cdb1 | 5080a829777b85f9f2618b398a8b7a2c34b8b83c | /pyvo/__init__.py | cc22ced09730551bbe38af2f7b01e2a5e90eb381 | [] | no_license | kernsuite-debian/pyvo | ab037461def921411515f4b690f319976970a7a1 | ee85c50c5c520ac7bede2d6f18de225c57dedc33 | refs/heads/master | 2021-08-07T16:17:11.674702 | 2017-11-08T14:39:19 | 2017-11-08T14:39:19 | 107,262,511 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,639 | py | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
PyVO is a package providing access to remote data and services of the
Virtual observatory (VO) using Python.
The pyvo module currently provides these main capabilities:
* find archives that provide particular data of a particular type and/or
relates to a particular topic
* regsearch()
* search an archive for datasets of a particular type
* imagesearch(), spectrumsearch()
* do simple searches on catalogs or databases
* conesearch(), linesearch(), tablesearch()
* get information about an object via its name
* resolve(), object2pos(), object2sexapos()
Submodules provide additional functions and classes for greater control over
access to these services.
This module also exposes the exception classes raised by the above functions,
of which DALAccessError is the root parent exception.
"""
#this indicates whether or not we are in the pyvo's setup.py
try:
_ASTROPY_SETUP_
except NameError:
from sys import version_info
if version_info[0] >= 3:
import builtins
else:
import __builtin__ as builtins
builtins._ASTROPY_SETUP_ = False
del version_info
try:
from .version import version as __version__
except ImportError:
__version__ = '0.0.dev'
try:
from .version import githash as __githash__
except ImportError:
__githash__ = ''
def _get_test_runner():
from astropy.tests.helper import TestRunner
return TestRunner(__path__[0])
def test(package=None, test_path=None, args=None, plugins=None,
verbose=False, pastebin=None, remote_data=False, pep8=False,
pdb=False, coverage=False, open_files=False, **kwargs):
"""
Run the tests using py.test. A proper set of arguments is constructed and
passed to `pytest.main`.
Parameters
----------
package : str, optional
The name of a specific package to test, e.g. 'io.fits' or 'utils'.
If nothing is specified all default tests are run.
test_path : str, optional
Specify location to test by path. May be a single file or
directory. Must be specified absolutely or relative to the
calling directory.
args : str, optional
Additional arguments to be passed to `pytest.main` in the `args`
keyword argument.
plugins : list, optional
Plugins to be passed to `pytest.main` in the `plugins` keyword
argument.
verbose : bool, optional
Convenience option to turn on verbose output from py.test. Passing
True is the same as specifying `-v` in `args`.
pastebin : {'failed','all',None}, optional
Convenience option for turning on py.test pastebin output. Set to
'failed' to upload info for failed tests, or 'all' to upload info
for all tests.
remote_data : bool, optional
Controls whether to run tests marked with @remote_data. These
tests use online data and are not run by default. Set to True to
run these tests.
pep8 : bool, optional
Turn on PEP8 checking via the pytest-pep8 plugin and disable normal
tests. Same as specifying `--pep8 -k pep8` in `args`.
pdb : bool, optional
Turn on PDB post-mortem analysis for failing tests. Same as
specifying `--pdb` in `args`.
coverage : bool, optional
Generate a test coverage report. The result will be placed in
the directory htmlcov.
open_files : bool, optional
Fail when any tests leave files open. Off by default, because
this adds extra run time to the test suite. Works only on
platforms with a working `lsof` command.
kwargs
Any additional keywords passed into this function will be passed
on to the astropy test runner. This allows use of test-related
functionality implemented in later versions of astropy without
explicitly updating the package template.
See Also
--------
pytest.main : py.test function wrapped by `run_tests`.
"""
test_runner = _get_test_runner()
return test_runner.run_tests(
package=package, test_path=test_path, args=args,
plugins=plugins, verbose=verbose, pastebin=pastebin,
remote_data=remote_data, pep8=pep8, pdb=pdb,
coverage=coverage, open_files=open_files, **kwargs)
if not _ASTROPY_SETUP_:
import os
from warnings import warn
from astropy import config
# add these here so we only need to cleanup the namespace at the end
config_dir = None
if not os.environ.get('ASTROPY_SKIP_CONFIG_UPDATE', False):
config_dir = os.path.dirname(__file__)
try:
config.configuration.update_default_config(__package__, config_dir)
except config.configuration.ConfigurationDefaultMissingError as e:
wmsg = (e.args[0] + " Cannot install default profile. If you are "
"importing from source, this is expected.")
warn(config.configuration.ConfigurationDefaultMissingWarning(wmsg))
del e
del os, warn, config_dir # clean up namespace
# make sure we have astropy
import astropy.io.votable
from . import registry
from .dal import ssa, sia, sla, scs, tap
from .registry import search as regsearch
from .dal import (
imagesearch, spectrumsearch, conesearch, linesearch, tablesearch,
DALAccessError, DALProtocolError, DALFormatError, DALServiceError,
DALQueryError)
from .nameresolver import *
__all__ = [
"imagesearch", "spectrumsearch", "conesearch", "linesearch", "tablesearch",
"regsearch", "resolve", "object2pos", "object2sexapos" ]
| [
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] | |
ee9fa1df4d941a31ed508d0034c5b7a6d87ed67d | c682e03a8394f0b6be4b309789209f7f5a67b878 | /d12/d12p1.py | 3a270b901acf7225aa4a4bce0c619c7cf39cf20e | [] | no_license | filipmlynarski/Advent-of-Code-2016 | e84c1d3aa702b5bd387b0aa06ac10a4196574e70 | b62483971e3e1f79c1e7987374fc9f030f5a0338 | refs/heads/master | 2021-08-28T06:43:04.764495 | 2017-12-11T13:00:07 | 2017-12-11T13:00:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,966 | py | puzle = open('puzzle')
puzzle = []
for i in puzle:
puzzle.append(i.split('\n')[0])
def is_int(x):
ints = '1,2,3,4,5,6,7,8,9,0'.split(',')
for j in ints:
if j == x:
return True
a = 0
b = 0
c = 0
d = 0
count = 0
while count < len(puzzle):
i = puzzle[count]
if i.split(' ')[0] == 'cpy':
if i.split(' ')[2] == 'a':
if is_int(i.split(' ')[1][0]):
a = int(i.split(' ')[1])
else:
if i.split(' ')[1] == 'b':
a = b
elif i.split(' ')[1] == 'c':
a = c
else:
a = d
elif i.split(' ')[2] == 'b':
if is_int(i.split(' ')[1][0]):
b = int(i.split(' ')[1])
else:
if i.split(' ')[1] == 'a':
b = a
elif i.split(' ')[1] == 'c':
b = c
else:
b = d
elif i.split(' ')[2] == 'c':
if is_int(i.split(' ')[1][0]):
c = int(i.split(' ')[1])
else:
if i.split(' ')[1] == 'b':
c = b
elif i.split(' ')[1] == 'a':
c = a
else:
c = d
elif i.split(' ')[2] == 'd':
if is_int(i.split(' ')[1][0]):
d = int(i.split(' ')[1])
else:
if i.split(' ')[2] == 'b':
d = b
elif i.split(' ')[2] == 'c':
d = c
else:
d = a
elif i.split(' ')[0] == 'inc':
if i.split(' ')[1] == 'a':
a += 1
elif i.split(' ')[1] == 'b':
b += 1
elif i.split(' ')[1] == 'c':
c += 1
else:
d += 1
elif i.split(' ')[0] == 'dec':
if i.split(' ')[1] == 'a':
a -= 1
elif i.split(' ')[1] == 'b':
b -= 1
elif i.split(' ')[1] == 'c':
c -= 1
else:
d -= 1
elif i.split(' ')[0] == 'jnz':
if (is_int(i.split(' ')[1][0]) and i.split(' ')[1] != '0'):
count += int(i.split(' ')[2]) - 1
elif (i.split(' ')[1] == 'a' and a != 0):
count += int(i.split(' ')[2]) - 1
elif (i.split(' ')[1] == 'b' and b != 0):
count += int(i.split(' ')[2]) - 1
elif (i.split(' ')[1] == 'c' and c != 0):
count += int(i.split(' ')[2]) - 1
elif (i.split(' ')[1] == 'd' and d != 0):
count += int(i.split(' ')[2]) - 1
count += 1
print count
print a | [
"[email protected]"
] | |
52797b9cba609b57070454e6614cc01f745736b8 | 0beb76303c915431ada62f2fbe9cf9f803667f2e | /questions/maximum-binary-tree/Solution.py | 2509fd3a8872330c2c30d32a6b32a3c76748a6e5 | [
"MIT"
] | permissive | ShaoCorn/leetcode-solutions | ad6eaf93eadd9354fd51f5ae93c6b6115174f936 | 07ee14ba3d3ad7a9f5164ec72f253997c6de6fa5 | refs/heads/master | 2023-03-19T00:44:33.928623 | 2021-03-13T01:44:55 | 2021-03-13T01:44:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,878 | py | """
You are given an integer array nums with no duplicates. A maximum binary tree can be built recursively from nums using the following algorithm:
Create a root node whose value is the maximum value in nums.
Recursively build the left subtree on the subarray prefix to the left of the maximum value.
Recursively build the right subtree on the subarray suffix to the right of the maximum value.
Return the maximum binary tree built from nums.
Example 1:
Input: nums = [3,2,1,6,0,5]
Output: [6,3,5,null,2,0,null,null,1]
Explanation: The recursive calls are as follow:
- The largest value in [3,2,1,6,0,5] is 6. Left prefix is [3,2,1] and right suffix is [0,5].
- The largest value in [3,2,1] is 3. Left prefix is [] and right suffix is [2,1].
- Empty array, so no child.
- The largest value in [2,1] is 2. Left prefix is [] and right suffix is [1].
- Empty array, so no child.
- Only one element, so child is a node with value 1.
- The largest value in [0,5] is 5. Left prefix is [0] and right suffix is [].
- Only one element, so child is a node with value 0.
- Empty array, so no child.
Example 2:
Input: nums = [3,2,1]
Output: [3,null,2,null,1]
Constraints:
1 <= nums.length <= 1000
0 <= nums[i] <= 1000
All integers in nums are unique.
"""
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def constructMaximumBinaryTree(self, nums: List[int]) -> TreeNode:
stk = []
for n in nums:
node = TreeNode(n)
while stk and stk[-1].val < n:
node.left = stk.pop()
if stk:
stk[-1].right = node
stk.append(node)
return stk[0]
| [
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] | |
e407556606fcbe38ecf08e8a07f0d038a65c200f | ec53949dafa4b6ad675d679b05ed7c83fef2c69a | /DataStructuresAndAlgo/LinkedList/SingleCircular/searchSingleCircular.py | 689ea541a0a5fb820a3180d868aef7d6eaf128b7 | [] | no_license | tpotjj/Python | 9a5a20a53cd7a6ec14386c1db8ce155e0fc9ab8a | ca73c116ada4d05c0c565508163557744c86fc76 | refs/heads/master | 2023-07-11T16:37:10.039522 | 2021-08-14T11:17:55 | 2021-08-14T11:17:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,431 | py | class Node:
def __init__(self, value=None):
self.value = value
self.next = None
class CircularSingleLinkedList:
def __init__(self):
self.head = None
self.tail = None
def __iter__(self):
node = self.head
while node:
yield node
node = node.next
if node == self.tail.next:
break
def createCSLL(self, nodeValue):
node = Node(nodeValue)
node.next = node
self.head = node
self.tail = node
return "CSLL is created"
def insertCSLL(self, value, location):
if self.head is None:
return "The linkedlist does not exist"
else:
newNode = Node(value)
if location == 0:
newNode.next = self.head
self.head = newNode
self.tail.next = newNode
elif location == 1:
newNode.next = self.tail.next
self.tail.next = newNode
self.tail = newNode
else:
tempNode = self.head
index = 0
while index < location -1:
tempNode = tempNode.next
index += 1
nextNode = tempNode.next
tempNode.next = newNode
newNode.next = nextNode
return "Insertion completed"
def traverseCSLL(self):
if self.head is None:
return "The linked list does not contain any node"
else:
tempNode = self.head
while tempNode:
print(tempNode.value)
tempNode = tempNode.next
if tempNode == self.tail.next:
break
def searchCSLL(self, nodeValue):
if self.head is None:
return "The linked list does not contain any node"
else:
tempNode = self.head
while tempNode:
if tempNode.value == nodeValue:
return tempNode.value
tempNode = tempNode.next
if tempNode == self.tail.next:
return "The node does noet exist in this CSLL"
csll = CircularSingleLinkedList()
csll.createCSLL(1)
csll.insertCSLL(0, 0)
csll.insertCSLL(2, 1)
csll.insertCSLL(3, 2)
csll.traverseCSLL()
print(csll.searchCSLL(4))
print([node.value for node in csll]) | [
"[email protected]"
] | |
6e53b1e376aede8e6976aa0651c0f0be160d2b0d | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02675/s931606976.py | 56113375870acd3ee74e593566c92faeeefac768 | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 169 | py | n = list(str(input()))
if n[-1] =='3':
print('bon')
exit()
if n[-1] =='0'or n[-1] =='1' or n[-1] =='6' or n[-1] == '8':
print('pon')
exit()
print('hon') | [
"[email protected]"
] | |
892b5b9906e360a8169a5689ac2cb443c84abeef | 4a0537a45c8aa1420d4686f7882ee741f32bbbf0 | /servee_document/__init__.py | 66abf3ed228dfb4724787c3a31194bc2dcd7e5f1 | [
"BSD-3-Clause"
] | permissive | servee/django-servee-document | b982204bc4d46d1f937da6ff47ff7b17b354f2b5 | 99d1a3970dbcb38d1b84ed6687bb709e89cc6a86 | refs/heads/master | 2021-01-19T10:29:04.427783 | 2017-01-18T22:16:43 | 2017-01-18T22:16:43 | 1,505,296 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 405 | py | VERSION = (0, 1, 0, "a", 1) # following PEP 386
DEV_N = 1
def get_version():
version = "%s.%s" % (VERSION[0], VERSION[1])
if VERSION[2]:
version = "%s.%s" % (version, VERSION[2])
if VERSION[3] != "f":
version = "%s%s%s" % (version, VERSION[3], VERSION[4])
if DEV_N:
version = "%s.dev%s" % (version, DEV_N)
return version
__version__ = get_version() | [
"[email protected]"
] | |
3693c551d22f87cc2fb3deb16b6351be0ee102a2 | bf902add6952d7f7decdb2296bb136eea55bf441 | /YOLO/.history/pytorch-yolo-v3/video_demo_v1_20201106004132.py | 722114a377211c33a1cc09dfe88d19193f6eaa59 | [
"MIT"
] | permissive | jphacks/D_2003 | c78fb2b4d05739dbd60eb9224845eb78579afa6f | 60a5684d549862e85bdf758069518702d9925a48 | refs/heads/master | 2023-01-08T16:17:54.977088 | 2020-11-07T06:41:33 | 2020-11-07T06:41:33 | 304,576,949 | 1 | 4 | null | null | null | null | UTF-8 | Python | false | false | 14,807 | py | from __future__ import division
import time
import torch
import torch.nn as nn
from torch.autograd import Variable
import numpy as np
import cv2
from util import *
from darknet import Darknet
from preprocess import prep_image, inp_to_image
import pandas as pd
import random
import argparse
import pickle as pkl
import requests
from requests.auth import HTTPDigestAuth
import io
from PIL import Image, ImageDraw, ImageFilter
import play
import csv
import pprint
with open('csv/Lidar.csv', encoding="utf-8_sig") as f:
LiDAR = csv.reader(f)
for row in LiDAR:
print(row)
def prep_image(img, inp_dim):
# CNNに通すために画像を加工する
orig_im = img
dim = orig_im.shape[1], orig_im.shape[0]
img = cv2.resize(orig_im, (inp_dim, inp_dim))
img_ = img[:,:,::-1].transpose((2,0,1)).copy()
img_ = torch.from_numpy(img_).float().div(255.0).unsqueeze(0)
return img_, orig_im, dim
def count(x, img, count):
# 画像に結果を描画
c1 = tuple(x[1:3].int())
c2 = tuple(x[3:5].int())
cls = int(x[-1])
label = "{0}".format(classes[cls])
print("label:\n", label)
# 人数カウント
if(label=='no-mask'):
count+=1
print(count)
return count
def write(x, img,camId):
global count
global point
p = [0,0]
# 画像に結果を描画
c1 = tuple(x[1:3].int())
c2 = tuple(x[3:5].int())
cls = int(x[-1])
print(camId, "_c0:",c1)
print(camId, "_c1:",c2)
label = "{0}".format(classes[cls])
print("label:", label)
# 人数カウント
if(label=='no-mask'):
count+=1
print(count)
p[0] = (c2[0]+c1[0])/2
p[1] = (c2[1]+c1[1])/2
point[camId].append(p)
color = random.choice(colors)
cv2.rectangle(img, c1, c2,color, 1)
t_size = cv2.getTextSize(label, cv2.FONT_HERSHEY_PLAIN, 1 , 1)[0]
c2 = c1[0] + t_size[0] + 3, c1[1] + t_size[1] + 4
cv2.rectangle(img, c1, c2,color, -1)
cv2.putText(img, label, (c1[0], c1[1] + t_size[1] + 4), cv2.FONT_HERSHEY_PLAIN, 1, [225,255,255], 1);
return img
def arg_parse():
# モジュールの引数を作成
parser = argparse.ArgumentParser(description='YOLO v3 Cam Demo') # ArgumentParserで引数を設定する
parser.add_argument("--confidence", dest = "confidence", help = "Object Confidence to filter predictions", default = 0.25)
# confidenceは信頼性
parser.add_argument("--nms_thresh", dest = "nms_thresh", help = "NMS Threshhold", default = 0.4)
# nms_threshは閾値
parser.add_argument("--reso", dest = 'reso', help =
"Input resolution of the network. Increase to increase accuracy. Decrease to increase speed",
default = "160", type = str)
# resoはCNNの入力解像度で、増加させると精度が上がるが、速度が低下する。
return parser.parse_args() # 引数を解析し、返す
def cvpaste(img, imgback, x, y, angle, scale):
# x and y are the distance from the center of the background image
r = img.shape[0]
c = img.shape[1]
rb = imgback.shape[0]
cb = imgback.shape[1]
hrb=round(rb/2)
hcb=round(cb/2)
hr=round(r/2)
hc=round(c/2)
# Copy the forward image and move to the center of the background image
imgrot = np.zeros((rb,cb,3),np.uint8)
imgrot[hrb-hr:hrb+hr,hcb-hc:hcb+hc,:] = img[:hr*2,:hc*2,:]
# Rotation and scaling
M = cv2.getRotationMatrix2D((hcb,hrb),angle,scale)
imgrot = cv2.warpAffine(imgrot,M,(cb,rb))
# Translation
M = np.float32([[1,0,x],[0,1,y]])
imgrot = cv2.warpAffine(imgrot,M,(cb,rb))
# Makeing mask
imggray = cv2.cvtColor(imgrot,cv2.COLOR_BGR2GRAY)
ret, mask = cv2.threshold(imggray, 10, 255, cv2.THRESH_BINARY)
mask_inv = cv2.bitwise_not(mask)
# Now black-out the area of the forward image in the background image
img1_bg = cv2.bitwise_and(imgback,imgback,mask = mask_inv)
# Take only region of the forward image.
img2_fg = cv2.bitwise_and(imgrot,imgrot,mask = mask)
# Paste the forward image on the background image
imgpaste = cv2.add(img1_bg,img2_fg)
return imgpaste
# def beep(freq, dur=100):
# winsound.Beep(freq, dur)
if __name__ == '__main__':
#学習前YOLO
# cfgfile = "cfg/yolov3.cfg" # 設定ファイル
# weightsfile = "weight/yolov3.weights" # 重みファイル
# classes = load_classes('data/coco.names') # 識別クラスのリスト
#マスク学習後YOLO
cfgfile = "cfg/mask.cfg" # 設定ファイル
weightsfile = "weight/mask_1500.weights" # 重みファイル
classes = load_classes('data/mask.names') # 識別クラスのリスト
num_classes = 80 # クラスの数
args = arg_parse() # 引数を取得
confidence = float(args.confidence) # 信頼性の設定値を取得
nms_thesh = float(args.nms_thresh) # 閾値を取得
start = 0
CUDA = torch.cuda.is_available() # CUDAが使用可能かどうか
num_classes = 80 # クラスの数
bbox_attrs = 5 + num_classes
max = 0 #限界人数
num_camera = 1 #camera数
model = [[] for i in range(num_camera)]
inp_dim = [[] for i in range(num_camera)]
cap = [[] for i in range(num_camera)]
ret = [[] for i in range(num_camera)]
frame = [[] for i in range(num_camera)]
img = [[] for i in range(num_camera)]
orig_im = [[] for i in range(num_camera)]
dim = [[] for i in range(num_camera)]
# output = [[] for i in range(num_camera)]
# output = torch.tensor(output)
# print("output_shape\n", output.shape)
for i in range(num_camera):
model[i] = Darknet(cfgfile) #model1の作成
model[i].load_weights(weightsfile) # model1に重みを読み込む
model[i].net_info["height"] = args.reso
inp_dim[i] = int(model[i].net_info["height"])
assert inp_dim[i] % 32 == 0
assert inp_dim[i] > 32
#mixer.init() #初期化
if CUDA:
for i in range(num_camera):
model[i].cuda() #CUDAが使用可能であればcudaを起動
for i in range(num_camera):
model[i].eval()
cap[0] = cv2.VideoCapture(1) #カメラを指定（USB接続）
# cap[1] = cv2.VideoCapture(1) #カメラを指定（USB接続）
# cap = cv2.VideoCapture("movies/sample.mp4")
#cap = cv2.VideoCapture("movies/one_v2.avi")
# Use the next line if your camera has a username and password
# cap = cv2.VideoCapture('protocol://username:password@IP:port/1')
#cap = cv2.VideoCapture('rtsp://admin:[email protected]/1') #（ネットワーク接続）
#cap = cv2.VideoCapture('rtsp://admin:[email protected]/80')
#cap = cv2.VideoCapture('http://admin:[email protected]:80/video')
#cap = cv2.VideoCapture('http://admin:[email protected]/camera-cgi/admin/recorder.cgi?action=start&id=samba')
#cap = cv2.VideoCapture('http://admin:[email protected]/recorder.cgi?action=start&id=samba')
#cap = cv2.VideoCapture('http://admin:[email protected]:80/snapshot.jpg?user=admin&pwd=admin&strm=0')
print('-1')
#assert cap.isOpened(), 'Cannot capture source' #カメラが起動できたか確認
img1 = cv2.imread("images/phase_1.jpg")
img2 = cv2.imread("images/phase_2.jpg")
img3 = cv2.imread("images/phase_2_red.jpg")
img4 = cv2.imread("images/phase_3.jpg")
#mixer.music.load("voice/voice_3.m4a")
#print(img1)
frames = 0
count_frame = 0 #フレーム数カウント
flag = 0 #密状態（0：疎密，1：密入り）
start = time.time()
print('-1')
while (cap[i].isOpened() for i in range(num_camera)): #カメラが起動している間
count=0 #人数をカウント
point = [[] for i in range(num_camera)]
for i in range(num_camera):
ret[i], frame[i] = cap[i].read() #キャプチャ画像を取得
if (ret[i] for i in range(num_camera)):
# 解析準備としてキャプチャ画像を加工
for i in range(num_camera):
img[i], orig_im[i], dim[i] = prep_image(frame[i], inp_dim[i])
if CUDA:
for i in range(num_camera):
im_dim[i] = im_dim[i].cuda()
img[i] = img[i].cuda()
for i in range(num_camera):
# output[i] = model[i](Variable(img[i]), CUDA)
output = model[i](Variable(img[i]), CUDA)
#print("output:\n", output)
# output[i] = write_results(output[i], confidence, num_classes, nms = True, nms_conf = nms_thesh)
output = write_results(output, confidence, num_classes, nms = True, nms_conf = nms_thesh)
# print("output", i, ":\n", output[i])
print(output.shape)
"""
# FPSの表示
if (type(output[i]) == int for i in range(num_camera)):
print("表示")
frames += 1
print("FPS of the video is {:5.2f}".format( frames / (time.time() - start)))
# qキーを押すとFPS表示の終了
key = cv2.waitKey(1)
if key & 0xFF == ord('q'):
break
continue
for i in range(num_camera):
output[i][:,1:5] = torch.clamp(output[i][:,1:5], 0.0, float(inp_dim[i]))/inp_dim[i]
output[i][:,[1,3]] *= frame[i].shape[1]
output[i][:,[2,4]] *= frame[i].shape[0]
"""
# FPSの表示
if type(output) == int:
print("表示")
frames += 1
print("FPS of the video is {:5.2f}".format( frames / (time.time() - start)))
# qキーを押すとFPS表示の終了
key = cv2.waitKey(1)
if key & 0xFF == ord('q'):
break
continue
for i in range(num_camera):
output[:,1:5] = torch.clamp(output[:,1:5], 0.0, float(inp_dim[i]))/inp_dim[i]
output[:,[1,3]] *= frame[i].shape[1]
output[:,[2,4]] *= frame[i].shape[0]
colors = pkl.load(open("pallete", "rb"))
#count = lambda x: count(x, orig_im, count) #人数をカウント
"""
for i in range(num_camera):
list(map(lambda x: write(x, orig_im[i]), output[i]))
print("count:\n",count)
"""
for i in range(num_camera):
list(map(lambda x: write(x, orig_im[i], i), output))
print("count:\n",count)
print("count_frame", count_frame)
print("framex", frame[0].shape[1])
print("framey", frame[0].shape[0])
print("point0",point[0])
num_person = 0
radian_lists = []
for count, (radian, length) in enumerate(Lidar):
radian_cam = [[] for i in range(point)]
if count % 90 == 0:
radian_list = []
if count < 90:
for num, p in enumerate(point[0]):
radian_cam[num] = p / frame[0].shape[1] * 100
for dif in range(10):
if int(radian)+dif-5 == int(radian_cam):
num_person += 1
radian_list.append(radian)
elif count < 180:
for num, p in enumerate(point[0]):
radian_cam[num] = p / frame[0].shape[1] * 100
for dif in range(10):
if int(radian)+dif-5 == int(radian_cam):
num_person += 1
radian_list.append(radian)
elif count < 270:
for num, p in enumerate(point[0]):
radian_cam[num] = p / frame[0].shape[1] * 100
for dif in range(10):
if int(radian)+dif-5 == int(radian_cam):
num_person += 1
radian_list.append(radian)
else:
for num, p in enumerate(point[0]):
radian_cam[num] = p / frame[0].shape[1] * 100
for dif in range(10):
if int(radian)+dif-5 == int(radian_cam):
num_person += 1
radian_list.append(radian)
# print("point1",point[1])
if count > max:
count_frame += 1
#print("-1")
if count_frame <= 50:
x=0
y=0
angle=20
scale=1.5
for i in range(num_camera):
imgpaste = cvpaste(img1, orig_im[i], x, y, angle, scale)
if flag == 1:
play.googlehome()
flag += 1
#mixer.music.play(1)
elif count_frame <= 100:
x=-30
y=10
angle=20
scale=1.1
if count_frame%2==1:
for i in range(num_camera):
imgpaste = cvpaste(img2, orig_im[i], x, y, angle, scale)
else:
for i in range(num_camera):
imgpaste = cvpaste(img3, orig_im[i], x, y, angle, scale)
if flag == 2:
play.googlehome()
flag += 1
else:
x=-30
y=0
angle=20
scale=1.5
for i in range(num_camera):
imgpaste = cvpaste(img4, orig_im[i], x, y, angle, scale)
if count_frame > 101: #<--2フレームずらす
print("\007") #警告音
time.sleep(3)
if flag == 3:
play.googlehome()
flag += 1
cv2.imshow("frame", imgpaste)
else:
count_frame = 0
flag = 0
#print("-2")
for i in range(num_camera):
cv2.imshow("frame", orig_im[i])
# play.googlehome()
key = cv2.waitKey(1)
# qキーを押すと動画表示の終了
if key & 0xFF == ord('q'):
break
frames += 1
print("count_frame:\n", count_frame)
print("FPS of the video is {:5.2f}".format( frames / (time.time() - start)))
else:
break
| [
"[email protected]"
] | |
298a3fca6d8a1714293ac0664d61974996d18ffd | ed269e9a4d9d6bfbb833381b7aef65a23f391fe2 | /比赛/1685. 有序数组中差绝对值之和.py | b9089483502c2c3b47da1d63fd0a60dc01a825b3 | [] | no_license | Comyn-Echo/leeCode | fcff0d4c4c10209a47bd7c3204e3f64565674c91 | 67e9daecb7ffd8f7bcb2f120ad892498b1219327 | refs/heads/master | 2023-04-28T17:35:52.963069 | 2021-05-19T01:52:16 | 2021-05-19T01:52:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 832 | py |
import math
class Solution(object):
def getSumAbsoluteDifferences(self, nums):
"""
:type nums: List[int]
:rtype: List[int]
"""
length = len(nums)
cur = 0
preSum = [0 for i in range(length+1)]
for i in range(length):
cur += nums[i]
preSum[i+1] = cur
# print(preSum)
ans = []
for index, i in enumerate(nums):
leftSum = preSum[index]
left = index
right = length - left -1
rightSum = preSum[length] - preSum[index+1]
# print(leftSum, rightSum)
now = math.fabs(i* left - leftSum) + math.fabs(i* right - rightSum)
print(now)
ans.append(int(now))
return ans
Solution.getSumAbsoluteDifferences(None,[2,3,5]) | [
"[email protected]"
] | |
419e0aa50ad504f2287e3a41edc23acac17a9c8f | bb613b9eb6f5279b25908515d1e17d4dff68186b | /tests/localization_tests/test_ko.py | 207d9029c71b2219779ec2a0a2e139cdac9767c3 | [
"MIT"
] | permissive | mayfield/pendulum | eb0b9c66f89a5d164446e728b8f8bc8e8d7f47d9 | bd7e9531bda35c45ddf794138c9967d9454209d4 | refs/heads/master | 2021-01-17T08:30:18.122524 | 2016-08-24T22:29:50 | 2016-08-24T22:29:50 | 66,504,189 | 0 | 0 | null | 2016-08-24T22:24:29 | 2016-08-24T22:24:28 | null | UTF-8 | Python | false | false | 2,363 | py | # -*- coding: utf-8 -*-
from pendulum import Pendulum
from .. import AbstractTestCase
from . import AbstractLocalizationTestCase
class KoTest(AbstractLocalizationTestCase, AbstractTestCase):
locale = 'ko'
def diff_for_humans(self):
with self.wrap_with_test_now():
d = Pendulum.now().subtract(seconds=1)
self.assertEqual('1 초 전', d.diff_for_humans())
d = Pendulum.now().subtract(seconds=2)
self.assertEqual('2 초 전', d.diff_for_humans())
d = Pendulum.now().subtract(minutes=1)
self.assertEqual('1 분 전', d.diff_for_humans())
d = Pendulum.now().subtract(minutes=2)
self.assertEqual('2 분 전', d.diff_for_humans())
d = Pendulum.now().subtract(hours=1)
self.assertEqual('1 시간 전', d.diff_for_humans())
d = Pendulum.now().subtract(hours=2)
self.assertEqual('2 시간 전', d.diff_for_humans())
d = Pendulum.now().subtract(days=1)
self.assertEqual('1 일 전', d.diff_for_humans())
d = Pendulum.now().subtract(days=2)
self.assertEqual('2 일 전', d.diff_for_humans())
d = Pendulum.now().subtract(weeks=1)
self.assertEqual('1 주일 전', d.diff_for_humans())
d = Pendulum.now().subtract(weeks=2)
self.assertEqual('2 주일 전', d.diff_for_humans())
d = Pendulum.now().subtract(months=1)
self.assertEqual('1 개월 전', d.diff_for_humans())
d = Pendulum.now().subtract(months=2)
self.assertEqual('2 개월 전', d.diff_for_humans())
d = Pendulum.now().subtract(years=1)
self.assertEqual('1 년 전', d.diff_for_humans())
d = Pendulum.now().subtract(years=2)
self.assertEqual('2 년 전', d.diff_for_humans())
d = Pendulum.now().add(seconds=1)
self.assertEqual('1 초 후', d.diff_for_humans())
d = Pendulum.now().add(seconds=1)
d2 = Pendulum.now()
self.assertEqual('1 초 뒤', d.diff_for_humans(d2))
self.assertEqual('1 초 앞', d2.diff_for_humans(d))
self.assertEqual('1 초', d.diff_for_humans(d2, True))
self.assertEqual('2 초', d2.diff_for_humans(d.add(seconds=1), True))
| [
"[email protected]"
] | |
7414fd98d42d6e768a6f1ee6d810c5b17e116d26 | fce5eda4745578557f7120104188c2437529b98f | /loops/while/programa_enquete.py | 2b558d6a9ae86ed8bf432898056552414884c0b8 | [] | no_license | weguri/python | 70e61584e8072125a4b4c57e73284ee4eb10f33b | d5195f82428104d85b0e6215b75e31ee260e5370 | refs/heads/master | 2022-12-01T08:26:36.248787 | 2020-08-23T03:30:46 | 2020-08-23T03:30:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 739 | py | respostas = dict()
# Define uma flag para indicar que a enquete está ativa
votacao_ativa = True
while votacao_ativa:
# Pede o nome da pessoa e a resposta
nome = input("\nQual é o seu nome? ")
resposta = input("Qual é o seu animal favorito? ")
if resposta == "":
continue
# Armazena a resposta no dicionario
respostas[nome] = resposta
# Perguntar se deseja continuar ou não
repetir = input("Deseja incluir mais algum animal?(S/N) ")
if repetir.lower() == 'n':
votacao_ativa = False
# A enquete foi concluída. Mostra os resultados
print('\n', '-' * 12, 'Resultado', '-' * 12)
for nome, resposta in respostas.items():
print("%s é o animal favorito do %s" % (resposta, nome))
| [
"[email protected]"
] | |
08ff099c5ed7b9163cedf928c7367bd903d5c48c | ea1af1a564f96fb36974aa094192877598b0c6bf | /Chapter7/Samples/even_or_odd.py | b9586fb2f08798bd5b1d1f990db9f1d19861d275 | [] | no_license | GSantos23/Crash_Course | 63eecd13a60141e520b5ca4351341c21c4782801 | 4a5fc0cb9ce987948a728d43c4f266d34ba49a87 | refs/heads/master | 2020-03-20T23:20:43.201255 | 2018-08-21T01:13:06 | 2018-08-21T01:13:06 | 137,841,877 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 244 | py | # Sample 7.4
number = input("Enter a number, and I'll tell you if it's even or odd: ")
number = int(number)
if number % 2 == 0:
print("\nThe number " + str(number) + " is even.")
else:
print("\nThe number " + str(number) + " is odd.")
| [
"[email protected]"
] | |
611c4a17b89df4081e481c466963b09963030328 | deaf5d0574494c06c0244be4b4f93ffa9b4e9e00 | /pandas_ml/skaccessors/covariance.py | aca597e1c5f6debb5f0994ee6c690562fff85bf8 | [] | no_license | Mars-Wei/pandas-ml | 71db18a6f4e0c4fbe3ba8a5390d39ffb5ffd7db6 | 994197dfbf57e289e9f3fce2cb90d109b0afbbe3 | refs/heads/master | 2021-01-20T17:13:29.139122 | 2015-11-01T00:07:46 | 2015-11-01T00:07:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,618 | py | #!/usr/bin/env python
import numpy as np
import pandas as pd
from pandas_ml.core.accessor import _AccessorMethods
class CovarianceMethods(_AccessorMethods):
"""
Accessor to ``sklearn.covariance``.
"""
_module_name = 'sklearn.covariance'
def empirical_covariance(self, *args, **kwargs):
"""
Call ``sklearn.covariance.empirical_covariance`` using automatic mapping.
- ``X``: ``ModelFrame.data``
"""
func = self._module.empirical_covariance
data = self._data
covariance = func(data.values, *args, **kwargs)
covariance = self._constructor(covariance, index=data.columns, columns=data.columns)
return covariance
def ledoit_wolf(self, *args, **kwargs):
"""
Call ``sklearn.covariance.ledoit_wolf`` using automatic mapping.
- ``X``: ``ModelFrame.data``
"""
func = self._module.ledoit_wolf
data = self._data
shrunk_cov, shrinkage = func(data.values, *args, **kwargs)
shrunk_cov = self._constructor(shrunk_cov, index=data.columns, columns=data.columns)
return shrunk_cov, shrinkage
def oas(self, *args, **kwargs):
"""
Call ``sklearn.covariance.oas`` using automatic mapping.
- ``X``: ``ModelFrame.data``
"""
func = self._module.oas
data = self._data
shrunk_cov, shrinkage = func(data.values, *args, **kwargs)
shrunk_cov = self._constructor(shrunk_cov, index=data.columns, columns=data.columns)
return shrunk_cov, shrinkage
| [
"[email protected]"
] | |
56dbb2cdb998061e64756b96835adf91b0b9d505 | 8fce2bc291452d88f883616c6610d9e0cc6609f7 | /util/label_map_util.py | 916ee37f3a391c0be3e21d59a33c3be18deb5bfa | [
"ISC"
] | permissive | BlueLens/bl-api-search | 02830ef35d1e9dee659c6b8c1e36b0077c16fdc9 | bf213776abb3e969cb63477a68f9f0a1c537eca2 | refs/heads/master | 2021-07-24T03:20:08.449203 | 2017-11-04T15:39:04 | 2017-11-04T15:39:04 | 105,105,987 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,367 | py | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# 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.
# ==============================================================================
"""Label map utility functions."""
import logging
import tensorflow as tf
from google.protobuf import text_format
from . import string_int_label_map_pb2
def create_category_index(categories):
"""Creates dictionary of COCO compatible categories keyed by category id.
Args:
categories: a list of dicts, each of which has the following keys:
'id': (required) an integer id uniquely identifying this category.
'name': (required) string representing category name
e.g., 'cat', 'dog', 'pizza'.
Returns:
category_index: a dict containing the same entries as categories, but keyed
by the 'id' field of each category.
"""
category_index = {}
for cat in categories:
category_index[cat['id']] = cat
return category_index
def convert_label_map_to_categories(label_map,
max_num_classes,
use_display_name=True):
"""Loads label map proto and returns categories list compatible with eval.
This function loads a label map and returns a list of dicts, each of which
has the following keys:
'id': (required) an integer id uniquely identifying this category.
'name': (required) string representing category name
e.g., 'cat', 'dog', 'pizza'.
We only allow class into the list if its id-label_id_offset is
between 0 (inclusive) and max_num_classes (exclusive).
If there are several items mapping to the same id in the label map,
we will only keep the first one in the categories list.
Args:
label_map: a StringIntLabelMapProto or None. If None, a default categories
list is created with max_num_classes categories.
max_num_classes: maximum number of (consecutive) label indices to include.
use_display_name: (boolean) choose whether to load 'display_name' field
as category name. If False of if the display_name field does not exist,
uses 'name' field as category names instead.
Returns:
categories: a list of dictionaries representing all possible categories.
"""
categories = []
list_of_ids_already_added = []
if not label_map:
label_id_offset = 1
for class_id in range(max_num_classes):
categories.append({
'id': class_id + label_id_offset,
'name': 'category_{}'.format(class_id + label_id_offset)
})
return categories
for item in label_map.item:
if not 0 < item.id <= max_num_classes:
logging.info('Ignore item %d since it falls outside of requested '
'label range.', item.id)
continue
name = item.name
code = item.display_name
if item.id not in list_of_ids_already_added:
list_of_ids_already_added.append(item.id)
categories.append({'id': item.id, 'name': name, 'code': code})
return categories
# TODO: double check documentaion.
def load_labelmap(path):
"""Loads label map proto.
Args:
path: path to StringIntLabelMap proto text file.
Returns:
a StringIntLabelMapProto
"""
with tf.gfile.GFile(path, 'r') as fid:
label_map_string = fid.read()
label_map = string_int_label_map_pb2.StringIntLabelMap()
try:
text_format.Merge(label_map_string, label_map)
except text_format.ParseError:
label_map.ParseFromString(label_map_string)
return label_map
def get_label_map_dict(label_map_path):
"""Reads a label map and returns a dictionary of label names to id.
Args:
label_map_path: path to label_map.
Returns:
A dictionary mapping label names to id.
"""
label_map = load_labelmap(label_map_path)
label_map_dict = {}
for item in label_map.item:
label_map_dict[item.name] = item.id
return label_map_dict
| [
"[email protected]"
] | |
5173c9eb2fab5fd8da633920ab0ff53a7ce5e390 | e2a63481c05e08fdcd2243946f813c5f8d5c2e99 | /update_features.py | a7a4c8427ec6e8855f0698066eed45b218e86bdc | [
"Apache-2.0"
] | permissive | mapsme/cf_audit | 3127bc1b36b5c080387766b85d808f5e16124895 | 1089ad5b6ee74ee2bf7953a972062068f3f3f8ab | refs/heads/master | 2023-01-31T04:16:07.769088 | 2023-01-22T15:24:07 | 2023-01-22T15:24:07 | 111,695,225 | 6 | 9 | Apache-2.0 | 2023-01-22T15:24:09 | 2017-11-22T14:36:03 | JavaScript | UTF-8 | Python | false | false | 1,608 | py | #!/usr/bin/env python
import os
import sys
BASE_DIR = os.path.abspath(os.path.dirname(__file__))
sys.path.insert(0, BASE_DIR)
PYTHON = 'python2.7'
VENV_DIR = os.path.join(BASE_DIR, 'venv', 'lib', PYTHON, 'site-packages')
if os.path.exists(VENV_DIR):
sys.path.insert(1, VENV_DIR)
import codecs
import datetime
import logging
import json
from www.db import Project, database
from www.util import update_features, update_features_cache
if len(sys.argv) < 3:
print "Usage: {} <project_id> <features.json> [<audit.json>]".format(sys.argv[0])
sys.exit(1)
logging.basicConfig(level=logging.INFO, format='%(asctime)s %(message)s', datefmt='%H:%M:%S')
logging.info('Reading JSON files')
if sys.argv[2] == '-':
features = []
else:
with codecs.open(sys.argv[2], 'r', 'utf-8') as f:
features = json.load(f)['features']
audit = None
if len(sys.argv) > 3:
with codecs.open(sys.argv[3], 'r', 'utf-8') as f:
audit = json.load(f)
if not features and not audit:
logging.error("No features read")
sys.exit(2)
try:
project = Project.get(Project.name == sys.argv[1])
except Project.DoesNotExist:
logging.error("No such project: %s", sys.argv[1])
sys.exit(2)
logging.info('Updating features')
proj_audit = json.loads(project.audit or '{}')
if audit:
proj_audit.update(audit)
project.audit = json.dumps(proj_audit, ensure_ascii=False)
project.updated = datetime.datetime.utcnow().date()
with database.atomic():
update_features(project, features, proj_audit)
logging.info('Updating the feature cache')
update_features_cache(project)
project.save()
| [
"[email protected]"
] | |
60e23adbd3b4692652d12167c566829b3c70cb6d | fce003f93476ec393e0fc2f7255e9e2367e8f07e | /generateParantheses.py | a8e6e57d647ae03f1b1157c48b176e1feb09c0c6 | [] | no_license | WillLuong97/Back-Tracking | f3f6cb9f31dd3e59ed3826cfbdfa5972d6277e01 | 54bfe83f4bd6c7fef23a2a15cffcaa40129250cb | refs/heads/master | 2023-07-02T05:20:52.510639 | 2021-08-11T00:37:41 | 2021-08-11T00:37:41 | 287,618,480 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,749 | py | # Given n pairs of parentheses, write a function to generate all combinations of well-formed parentheses.
# For example, given n = 3, a solution set is:
# [
# "((()))",
# "(()())",
# "(())()",
# "()(())",
# "()()()"
# ]
#first approach - Brute Force
def generateParenthesis(n):
def generate(A = []):
# print(A)
if len(A) == 2*n:
if valid(A):
ans.append("".join(A))
else:
A.append('(')
generate(A)
A.pop()
A.append(')')
generate(A)
A.pop()
def valid(A):
bal = 0
for c in A:
if c == '(': bal += 1
else: bal -= 1
if bal < 0: return False
return bal == 0
ans = []
generate()
return ans
#second approach - using back tracking:
def generateParenthesis_BackTracking(n):
retStr = []
#back tracking
def backTracking(parenString = "", opening_bracket_index = 0 , closing_bracket_index = 0):
#if the parentheses string finally reaches number of parentheses pairs:
if(len(parenString) == 2 * n):
retStr.append(parenString)
#add a opening parentheses to the string parenthese string:
if opening_bracket_index < n:
backTracking(parenString + '(', opening_bracket_index + 1, closing_bracket_index)
#add a closing parenthese to string
if closing_bracket_index < opening_bracket_index:
backTracking(parenString + ')', opening_bracket_index, closing_bracket_index + 1)
backTracking()
return retStr
def main():
print(generateParenthesis(2))
print("")
print(generateParenthesis_BackTracking(2))
pass
main()
| [
"[email protected]"
] | |
d2d09e0416267edf3afd5d46e8489754f3ce3e27 | 611c184838b8c5cfafe61c9877a32606e2d435eb | /OtherScripts/Split.py | af567a81ee36eb111cae70b69564fdc920ed6100 | [] | no_license | minghao2016/protein_structure_clustering | c6ac06c15f5ca03d506ec6ced51bd70d4838eaa0 | 3e709bf370071d2bf16cb24b0d0d9779ca005c3e | refs/heads/master | 2022-01-20T15:46:33.694778 | 2019-04-12T17:03:25 | 2019-04-12T17:03:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 166 | py |
x = 'C:/Users/pedro.arguelles/Desktop/Repos/oi-mua/src/OI.FFM.InboundServices/pas/'
y = '/'.join(str(x).split('/')[7:])
y = str(y).replace('/','\\')
print(y) | [
"[email protected]"
] | |
695541aeff8d2f878246fea73c798f9f927e6ce0 | ed702dcb76a85d815d322c426d62f9f3f213b137 | /light.py | dbe24f48bfdd429821444d2e6082eca1ae33dd1e | [] | no_license | jack1806/Lamp | 5f9d400eb34b224c96dcacec3834c901f4ad0a1a | 9271bccecd47d4d3924fe311c0d8cff0e7e0d490 | refs/heads/master | 2020-03-26T20:21:38.078186 | 2018-08-19T16:26:07 | 2018-08-19T16:26:07 | 145,319,111 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 958 | py | #!/usr/bin/python3
import argparse
import requests
LED_ON = "http://192.168.4.1/led/0"
LED_OFF = "http://192.168.4.1/led/1"
def req(url):
try:
request = requests.get(url)
response = request.text
if response:
return 0
else:
print("Something went wrong!")
except requests.ConnectionError or requests.ConnectTimeout:
print("Something went wrong!")
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="It works!")
parser.add_argument("mode", type=str, metavar="on/off")
args = parser.parse_args()
print(args.mode)
# parser.add_argument("-on", help="Turn on", action="store_true", default=False)
# parser.add_argument("-off", help="Turn off", action="store_true", default=False)
# args = parser.parse_args()
# if args.on:
# req(LED_ON)
# elif args.off:
# req(LED_OFF)
# else:
# parser.print_help()
| [
"[email protected]"
] | |
1fee2606104089bb18dc89e6b2349bdbb11e5e26 | 83de24182a7af33c43ee340b57755e73275149ae | /aliyun-python-sdk-hbase/aliyunsdkhbase/request/v20190101/UnTagResourcesRequest.py | 3b7a375a83fe401cbc85e1de3ee25a29e7df3a56 | [
"Apache-2.0"
] | permissive | aliyun/aliyun-openapi-python-sdk | 4436ca6c57190ceadbc80f0b1c35b1ab13c00c7f | 83fd547946fd6772cf26f338d9653f4316c81d3c | refs/heads/master | 2023-08-04T12:32:57.028821 | 2023-08-04T06:00:29 | 2023-08-04T06:00:29 | 39,558,861 | 1,080 | 721 | NOASSERTION | 2023-09-14T08:51:06 | 2015-07-23T09:39:45 | Python | UTF-8 | Python | false | false | 1,950 | py | # 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.
from aliyunsdkcore.request import RpcRequest
from aliyunsdkhbase.endpoint import endpoint_data
class UnTagResourcesRequest(RpcRequest):
def __init__(self):
RpcRequest.__init__(self, 'HBase', '2019-01-01', 'UnTagResources','hbase')
self.set_method('POST')
if hasattr(self, "endpoint_map"):
setattr(self, "endpoint_map", endpoint_data.getEndpointMap())
if hasattr(self, "endpoint_regional"):
setattr(self, "endpoint_regional", endpoint_data.getEndpointRegional())
def get_All(self):
return self.get_query_params().get('All')
def set_All(self,All):
self.add_query_param('All',All)
def get_ResourceIds(self):
return self.get_query_params().get('ResourceId')
def set_ResourceIds(self, ResourceIds):
for depth1 in range(len(ResourceIds)):
if ResourceIds[depth1] is not None:
self.add_query_param('ResourceId.' + str(depth1 + 1) , ResourceIds[depth1])
def get_TagKeys(self):
return self.get_query_params().get('TagKey')
def set_TagKeys(self, TagKeys):
for depth1 in range(len(TagKeys)):
if TagKeys[depth1] is not None:
self.add_query_param('TagKey.' + str(depth1 + 1) , TagKeys[depth1]) | [
"[email protected]"
] | |
39b9a6cb194a618d38d92f0d437d3b47363248c9 | 1a7e621312f88bc940e33ee5ff9ca5ac247f2bc9 | /venv/bin/django-admin.py | e07af0189af5844d527efeef517bb577881fadd1 | [] | no_license | hirossan4049/ZisakuZitenAPI | 9c2ef8de5c197353a33f58518d60aff304b8d2df | 439f202b4939059b42c771960ad579048737f3d7 | refs/heads/master | 2022-05-04T12:08:39.670493 | 2020-01-11T06:23:41 | 2020-01-11T06:23:41 | 225,121,453 | 0 | 1 | null | 2022-04-22T22:50:05 | 2019-12-01T07:14:23 | Python | UTF-8 | Python | false | false | 179 | py | #!/Users/Linear/Desktop/pythonnnnn/ZisakuZitenRestServer/venv/bin/python
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| [
"[email protected]"
] | |
601bc5df1c1b8dc0775b683e62fc763c59b76786 | afa2ebb439e6592caf42c507a789833b9fbf44b2 | /supervised_learning/0x03-optimization/11-learning_rate_decay.py | 040b4379fbcdd158d5e82d23cdbf111a9811b6bc | [] | no_license | anaruzz/holbertonschool-machine_learning | 64c66a0f1d489434dd0946193747ed296760e6c8 | 91300120d38acb6440a6dbb8c408b1193c07de88 | refs/heads/master | 2023-07-30T20:09:30.416167 | 2021-09-23T16:22:40 | 2021-09-23T16:22:40 | 279,293,274 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 328 | py | #!/usr/bin/env python3
"""
Script that updates a variable in place using
inverse time decay in numpy
"""
import numpy as np
def learning_rate_decay(alpha, decay_rate, global_step, decay_step):
"""
returns the updated value for alpha
"""
alpha /= (1 + decay_rate * (global_step // decay_step))
return alpha
| [
"[email protected]"
] | |
b8c08f536f252f2e18333297c68a7f02a00115ad | 155b6c640dc427590737750fe39542a31eda2aa4 | /api-test/hmpt/test/test_018_web_FirstCheck.py | 2abf5ac402687d0eed2f99a4f8e3fc1f060f780d | [] | no_license | RomySaber/api-test | d4b3add00e7e5ed70a5c72bb38dc010f67bbd981 | 028c9f7fe0d321db2af7f1cb936c403194db850c | refs/heads/master | 2022-10-09T18:42:43.352325 | 2020-06-11T07:00:04 | 2020-06-11T07:00:04 | 271,468,744 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 36,726 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@Time :2019-06-11 下午 3:33
@Author : 罗林
@File : test_018_web_FirstCheck.py
@desc : 信审管理自动化测试用例
"""
import json
import unittest
from faker import Factory
from common.myCommon import Assertion
from common.myCommon.TestBaseCase import TestBaseCase
from common.myFile import MockData as MD
from hmpt.query import xqkj_query
from hmpt.testAction import WebAction
from hmpt.testAction import loginAction
# from hmpt.testAction import specialAction
fake = Factory().create('zh_CN')
labelcontent = loginAction.sign + MD.words_cn(2)
customerinformation = loginAction.sign + MD.words_cn(2)
impactdata = loginAction.sign + MD.words_cn(2)
windcontroldatasource = loginAction.sign + MD.words_en_lower(2)
class test_018_web_FirstCheck(TestBaseCase):
def test_001_active_contract(self):
"""
激活订单，修改订单状态未机审通过
:return:
"""
global contract_uuid, app_user_uuid
app_user_uuid = loginAction.get_user_uuid()
contract_uuid = xqkj_query.get_contract_uuid_for_user(app_user_uuid)
# contract_uuid = '3222d8b7acac4a45a91f0b1b01bd6fec'
# contract_uuid = xqkj_query.get_contract_uuid_for_machine()
loginAction.global_dict.set(contract_uuid=contract_uuid)
loginAction.global_dict.set(app_user_uuid=app_user_uuid)
# 修改订单状态为机审通过
xqkj_query.update_contract_machine_pass(contract_uuid, app_user_uuid)
@unittest.skip('每次都会发送短信')
def test_002_api_78dk_platform_tm_first_firstCheck_fail(self):
"""
初审 不通过
"""
xqkj_query.update_contract_machine_first_check(contract_uuid)
res = WebAction.test_api_78dk_platform_tm_first_firstCheck(
uuid=contract_uuid, message='初审 不通过', checkstate='fail', firstchecksuggest=10000)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('需要再次调试')
def test_003_api_78dk_platform_tm_first_viewFirstCheckContract_fail(self):
"""
初审信息查询 初审 不通过
:return:
"""
res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContract(contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_004_api_78dk_platform_tm_first_viewFirstCheckContracts_fail(self):
"""
初审列表查询 初审 不通过
:return:
"""
res = json.loads(WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContracts(
pagesize=10, state='all', pagecurrent=1, name='', begindate='', contractnumber='', enddate='', lable='',
phone='', username='', firstcheckname=''))
Assertion.verity(res['msg'], '成功')
Assertion.verity(res['code'], '10000')
Assertion.verity(res['data']['currentPage'], 1)
Assertion.verity(res['data']['pageSize'], 10)
Assertion.verityContain(res['data'], 'dataList')
@unittest.skip('每次都会发送短信')
def test_005_api_78dk_platform_tm_first_firstCheck_cancel(self):
"""
初审 取消
"""
xqkj_query.update_contract_machine_first_check(contract_uuid)
res = WebAction.test_api_78dk_platform_tm_first_firstCheck(
uuid=contract_uuid, message='初审 取消', checkstate='cancel', firstchecksuggest=10000)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('需要再次调试')
def test_006_api_78dk_platform_tm_first_viewFirstCheckContract_cancel(self):
"""
初审信息查询 初审 取消
:return:
"""
res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContract(contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_007_api_78dk_platform_tm_first_viewFirstCheckContracts_cancel(self):
"""
初审列表查询 初审 取消
:return:
"""
res = json.loads(WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContracts(
pagesize=10, state='all', pagecurrent=1, name='', begindate='', contractnumber='', enddate='', lable='',
phone='', username='', firstcheckname=''))
Assertion.verity(res['msg'], '成功')
Assertion.verity(res['code'], '10000')
Assertion.verity(res['data']['currentPage'], 1)
Assertion.verity(res['data']['pageSize'], 10)
Assertion.verityContain(res['data'], 'dataList')
@unittest.expectedFailure
def test_008_api_78dk_platform_tm_first_firstCheck_cancel_pass(self):
"""
初审 通过
"""
xqkj_query.update_contract_machine_first_check(contract_uuid)
res = WebAction.test_api_78dk_platform_tm_first_firstCheck(
uuid=contract_uuid, message='初审 通过', checkstate='pass', firstchecksuggest=10000)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('需要再次调试')
def test_009_api_78dk_platform_tm_first_viewFirstCheckContract_pass(self):
"""
初审信息查询 初审 通过
:return:
"""
res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContract(contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_010_api_78dk_platform_tm_first_viewFirstCheckContracts_pass(self):
"""
初审列表查询 初审 通过
:return:
"""
res = json.loads(WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContracts(
pagesize=10, state='all', pagecurrent=1, name='', begindate='', contractnumber='', enddate='', lable='',
phone='', username='', firstcheckname=''))
Assertion.verity(res['msg'], '成功')
Assertion.verity(res['code'], '10000')
Assertion.verity(res['data']['currentPage'], 1)
Assertion.verity(res['data']['pageSize'], 10)
Assertion.verityContain(res['data'], 'dataList')
def test_011_api_78dk_platform_tm_first_viewTongdunInfo(self):
"""
同盾信息查询
:return:
"""
res = WebAction.test_api_78dk_platform_tm_first_viewTongdunInfo(contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_012_api_78dk_platform_tm_first_viewMxInfo(self):
"""
查询魔蝎报告
:return:
"""
res = WebAction.test_api_78dk_platform_tm_first_viewMxInfo(contractuuid=contract_uuid, type='1')
Assertion.verity(json.loads(res)['code'], '20000')
Assertion.verity(json.loads(res)['msg'], '通过合同UUID查询不到魔蝎数据!')
def test_013_api_78dk_platform_tm_first_viewContractImages(self):
"""
审核详情-影像资料(新)
:return:
"""
res = WebAction.test_api_78dk_platform_tm_first_viewContractImages(contractuuid=contract_uuid)
# Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '20000')
def test_014_api_78dk_platform_tm_first_viewImageDataConfig_home(self):
"""
查询影像列表 家装分期
:return:
"""
res = WebAction.test_api_78dk_platform_tm_first_viewImageDataConfig(
subdivisiontype='subdivision_type_home_installment')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_014_api_78dk_platform_tm_first_viewImageDataConfig_earnest(self):
"""
查询影像列表 定金分期
:return:
"""
res = WebAction.test_api_78dk_platform_tm_first_viewImageDataConfig(
subdivisiontype='subdivision_type_earnest_installment')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_015_api_78dk_platform_tm_first_selectCanAuditCheck(self):
"""
是否有权限审核
:return:
"""
res = WebAction.test_api_78dk_platform_tm_first_selectCanAuditCheck(
uid=contract_uuid, checktype='audit_check_first')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('获取接口参数错误')
def test_016_api_78dk_platform_tm_first_addAuditComment_one(self):
"""
添加一条评论
:return:
"""
res = WebAction.test_api_78dk_platform_tm_first_addAuditComment()
# auditcommentattachments=[], contractuuid=contract_uuid, replyauditcommentuuid='',
# comment=fake.text(max_nb_chars=10))
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('获取接口参数错误')
def test_017_api_78dk_platform_tm_first_addAuditComment_two(self):
"""
添加一条评论
:return:
"""
res = WebAction.test_api_78dk_platform_tm_first_addAuditComment()
# auditcommentattachments=[], contractuuid=contract_uuid, replyauditcommentuuid='',
# comment=fake.text(max_nb_chars=50))
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
global auditCommentUuid
auditCommentUuid = json.loads(res)['data']['auditCommentUuid']
@unittest.skip('获取接口参数错误')
def test_018_api_78dk_platform_tm_first_editAuditComment(self):
"""
编辑一条评论
:return:
"""
res = WebAction.test_api_78dk_platform_tm_first_editAuditComment()
# auditcommentuuid=auditCommentUuid, auditcommentattachments=[], contractuuid=contract_uuid,
# replyauditcommentuuid='', comment=fake.text(max_nb_chars=100))
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
global delAuditCommentUuid
delAuditCommentUuid = json.loads(res)['data']['auditCommentUuid']
@unittest.skip('获取接口参数错误')
def test_019_api_78dk_platform_tm_first_delAuditComment(self):
"""
删除一条评论
:return:
"""
res = WebAction.test_api_78dk_platform_tm_first_delAuditComment(delAuditCommentUuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('获取接口参数错误')
def test_020_api_78dk_platform_tm_first_findAuditCommentList(self):
"""
查询评论列表
:return:
"""
res = WebAction.test_api_78dk_platform_tm_first_findAuditCommentList()
# pagesize=10, pagecurrent=1, contractuuid=contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
# def test_021_api_78dk_platform_tm_first_updateContractInfoSignState(self):
# """
# 修改法大大合同签署状态 修改为重签
# :return:
# """
# res = WebAction.test_api_78dk_platform_tm_first_findContractInfoSignStateWeb(contract_uuid)
# Assertion.verity(json.loads(res)['msg'], '成功')
# Assertion.verity(json.loads(res)['code'], '10000')
def test_022_api_78dk_platform_tm_after_viewAuditMonitors(self):
# 贷后列表
res = WebAction.test_api_78dk_platform_tm_after_viewAuditMonitors(
enddate='', pagecurrent=1, pagesize=10, qifascore='', searchwhere='', startdate='')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('每次都会发送短信')
def test_023_api_78dk_platform_tm_telephone_telephoneCheck_fail(self):
"""
电核 不通过
:return:
"""
xqkj_query.update_contract_machine_telephone_check(contract_uuid)
res = WebAction.test_api_78dk_platform_tm_telephone_telephoneCheck(
uuid=contract_uuid, message='电核不通过', checkstate='fail')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('需要再次调试')
def test_024_api_78dk_platform_tm_telephone_viewTelephoneCheckContract_fail(self):
"""
电核信息查询 电核 不通过
:return:
"""
res = WebAction.test_api_78dk_platform_tm_telephone_viewTelephoneCheckContract(contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
Assertion.verityContain(json.loads(res)['data'], 'baiduLogUuid')
def test_025_api_78dk_platform_tm_telephone_viewTelephoneCheckContracts_fail(self):
"""
电核列表查询 电核 不通过
:return:
"""
res = WebAction.test_api_78dk_platform_tm_telephone_viewTelephoneCheckContracts(
pagesize=10, state='all', name='', pagecurrent=1, begindate='', contractnumber='', enddate='', lable='',
phone='', username='')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('每次都会发送短信')
def test_026_api_78dk_platform_tm_telephone_telephoneCheck_cancel(self):
"""
电核 取消
:return:
"""
xqkj_query.update_contract_machine_telephone_check(contract_uuid)
res = WebAction.test_api_78dk_platform_tm_telephone_telephoneCheck(
uuid=contract_uuid, message='电核取消', checkstate='cancel')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('需要再次调试')
def test_027_api_78dk_platform_tm_telephone_viewTelephoneCheckContract_cancel(self):
"""
电核信息查询 电核 取消
:return:
"""
res = WebAction.test_api_78dk_platform_tm_telephone_viewTelephoneCheckContract(contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
Assertion.verityContain(json.loads(res)['data'], 'baiduLogUuid')
def test_028_api_78dk_platform_tm_telephone_viewTelephoneCheckContracts_cancel(self):
"""
电核列表查询 电核 取消
:return:
"""
res = WebAction.test_api_78dk_platform_tm_telephone_viewTelephoneCheckContracts(
pagesize=10, state='all', name='', pagecurrent=1, begindate='', contractnumber='', enddate='', lable='',
phone='', username='')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.expectedFailure
def test_029_api_78dk_platform_tm_telephone_telephoneCheck_fail_pass(self):
"""
电核 通过
:return:
"""
xqkj_query.update_contract_machine_telephone_check(contract_uuid)
res = WebAction.test_api_78dk_platform_tm_telephone_telephoneCheck(
uuid=contract_uuid, message='电核通过', checkstate='pass')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('需要再次调试')
def test_030_api_78dk_platform_tm_telephone_viewTelephoneCheckContract(self):
"""
电核信息查询 电核 通过
:return:
"""
res = WebAction.test_api_78dk_platform_tm_telephone_viewTelephoneCheckContract(contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
Assertion.verityContain(json.loads(res)['data'], 'baiduLogUuid')
def test_031_api_78dk_platform_tm_telephone_viewTelephoneCheckContracts(self):
"""
电核列表查询 电核 通过
:return:
"""
res = WebAction.test_api_78dk_platform_tm_telephone_viewTelephoneCheckContracts(
pagesize=10, state='all', name='', pagecurrent=1, begindate='', contractnumber='', enddate='', lable='',
phone='', username='')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_032_api_78dk_platform_tm_telephone_viewTelephoneCheckInfosByContractUuid(self):
"""
查询合同已经填写的电核问题列表
:return:
"""
res = WebAction.test_api_78dk_platform_tm_telephone_viewTelephoneCheckInfosByContractUuid(contract_uuid)
# Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '20000')
def test_033_api_78dk_platform_tm_telephone_addTelephoneCheckInfos(self):
"""
批量添加电核资料(3)
:return:
"""
WebAction.test_api_78dk_platform_tm_telephone_addTelephoneCheckInfos(
answer='答案', contractuuid=contract_uuid, groupname='', question='', risktype='',
state='', telephonecheckfeedbackuuid='', groupsort='',
questionsort='')
# Assertion.verity(json.loads(res)['msg'], '成功')
# Assertion.verity(json.loads(res)['code'], '10000')
def test_034_api_78dk_platform_tm_telephone_deleteTelephoneCheckInfo(self):
"""
删除电核资料(3)
:return:
"""
res = WebAction.test_api_78dk_platform_tm_telephone_deleteTelephoneCheckInfo(uid=contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.expectedFailure
def test_035_api_78dk_platform_tm_final_viewFDDInfo(self):
"""
法大大信息查询
:return:
"""
res = WebAction.test_api_78dk_platform_tm_final_viewFDDInfo(contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.expectedFailure
def test_036_api_78dk_platform_tm_final_finalCheck_cancel(self):
"""
终审 终审取消
:return:
"""
xqkj_query.update_contract_machine_final_check(contract_uuid)
res = WebAction.test_api_78dk_platform_tm_final_finalCheck(
checkstate='终审取消', uuid=contract_uuid, preamount='', finalchecksuggest=10000)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.expectedFailure
def test_037_api_78dk_platform_tm_final_viewFinalCheckContract_cancel(self):
"""
终审信息查询 终审取消
:return:
"""
res = WebAction.test_api_78dk_platform_tm_final_viewFinalCheckContract(contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_038_api_78dk_platform_tm_final_viewFinalCheckContracts_cancel(self):
"""
终审列表查询 终审取消
:return:
"""
res = WebAction.test_api_78dk_platform_tm_final_viewFinalCheckContracts(
pagecurrent=1, state='all', pagesize=1, name='', begindate='', contractnumber='', enddate='', lable='',
phone='', username='')
Assertion.verity(json.loads(res)['code'], '10000')
Assertion.verity(json.loads(res)['msg'], '成功')
@unittest.expectedFailure
def test_039_api_78dk_platform_tm_final_finalCheck_fail(self):
"""
终审 终审失败
:return:
"""
xqkj_query.update_contract_machine_final_check(contract_uuid)
res = WebAction.test_api_78dk_platform_tm_final_finalCheck(
checkstate='终审失败', uuid=contract_uuid, preamount='', finalchecksuggest=10000)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.expectedFailure
def test_040_api_78dk_platform_tm_final_viewFinalCheckContract_fail(self):
"""
终审信息查询 终审失败
:return:
"""
res = WebAction.test_api_78dk_platform_tm_final_viewFinalCheckContract(contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_041_api_78dk_platform_tm_final_viewFinalCheckContracts_fail(self):
"""
终审列表查询 终审失败
:return:
"""
res = WebAction.test_api_78dk_platform_tm_final_viewFinalCheckContracts(
pagecurrent=1, state='all', pagesize=1, name='', begindate='', contractnumber='', enddate='', lable='',
phone='', username='')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('需要再次调试, meijia')
def test_042_api_78dk_platform_tm_final_finalCheck_pass(self):
"""
终审 终审通过
:return:
"""
xqkj_query.update_contract_machine_final_check(contract_uuid)
res = WebAction.test_api_78dk_platform_tm_final_finalCheck(
checkstate='"pass"', uuid=contract_uuid, preamount='', finalchecksuggest=10000)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('需要再次调试')
def test_043_api_78dk_platform_tm_final_viewFinalCheckContract_pass(self):
"""
终审信息查询 终审通过
:return:
"""
res = WebAction.test_api_78dk_platform_tm_final_viewFinalCheckContract(contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_044_api_78dk_platform_tm_final_viewFinalCheckContracts_pass(self):
"""
终审列表查询 终审通过
:return:
"""
res = WebAction.test_api_78dk_platform_tm_final_viewFinalCheckContracts(
pagecurrent=1, state='all', pagesize=1, name='', begindate='', contractnumber='', enddate='', lable='',
phone='', username='')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_045_api_78dk_platform_tm_after_viewReportContract(self):
"""
查询报告内容
:return:
"""
res = WebAction.test_api_78dk_platform_tm_after_viewReportContract(contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_046_api_78dk_platform_tm_after_viewContractTongDuns(self):
"""
查询贷后所用同盾报告列表
:return:
"""
res = WebAction.test_api_78dk_platform_tm_after_viewContractTongDuns(contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_047_api_78dk_platform_tm_after_viewAuditMonitors(self):
"""
贷后列表
:return:
"""
res = WebAction.test_api_78dk_platform_tm_after_viewAuditMonitors(
searchwhere='', startdate='', qifascore='', pagecurrent=1, pagesize=10, enddate='')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_048_api_78dk_bm_viewUserBill(self):
"""
个人账单
:return:
"""
res = WebAction.test_api_78dk_bm_viewUserBill(contractuuid=contract_uuid, pagecurrent=1, pagesize=10)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_049_api_78dk_bm_viewBillList_all(self):
"""
账单列表
:return:
"""
res = WebAction.test_api_78dk_bm_viewBillList(state='', pagecurrent=1, pagesize=10, merchantname='',
contractnumber='', usermobile='', username='')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_050_api_78dk_bm_viewBillList_active(self):
"""
账单列表
:return:
"""
res = WebAction.test_api_78dk_bm_viewBillList(
state='123', pagecurrent=1, pagesize=10, merchantname='', contractnumber='', usermobile='',
username='')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('需要再次调试')
def test_051_api_78dk_platform_lm_viewContract(self):
"""
合同信息
:return:
"""
res = WebAction.test_api_78dk_platform_lm_viewContract(contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('需要再次调试')
def test_052_api_78dk_platform_lm_downPayMoneys(self):
# 导出打款信息
res = WebAction.test_api_78dk_platform_lm_downPayMoneys(
enddate='', begindate='', contractnumber='', loanstate='', merchantname='', phone='', username='')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('需要再次调试')
def test_053_api_78dk_platform_lm_downLoans(self):
# 导出放款列表
res = WebAction.test_api_78dk_platform_lm_downLoans(
enddate='', begindate='', contractnumber='', loanstate='', merchantname='', phone='', username='')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_054_api_78dk_platform_lm_offLineLoan(self):
# 放款
res = WebAction.test_api_78dk_platform_lm_offLineLoan(
bankseqid='', contractuuid=contract_uuid, loanamount='', remarks='', url='', urlname='')
Assertion.verity(json.loads(res)['code'], '20000')
def test_055_api_78dk_platform_lm_viewLoans(self):
"""
放款列表
:return:
"""
res = WebAction.test_api_78dk_platform_lm_viewLoans(
begindate='', contractnumber='', enddate='', loanstate='', merchantname='', pagecurrent=1, pagesize=10,
phone='', username='')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.expectedFailure
def test_056_api_78dk_platform_lm_viewLoanDetil(self):
"""
查看放款详情
:return:
"""
res = WebAction.test_api_78dk_platform_lm_viewLoanDetil(contract_uuid)
# Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '20000')
def test_057_api_78dk_platform_lm_viewUserBill_all(self):
"""
账单信息
:return:
"""
res = WebAction.test_api_78dk_platform_lm_viewUserBill(
begindate='', enddate='', name='', orderstate='', pagecurrent=1, pagesize=10, state='all',
uuid=contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_058_api_78dk_platform_lm_viewUserBill_pass(self):
"""
账单信息
:return:
"""
res = WebAction.test_api_78dk_platform_lm_viewUserBill(
begindate='', enddate='', name='', orderstate='', pagecurrent=1, pagesize=10, state='pass',
uuid=contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_059_api_78dk_platform_lm_viewUserBill_fail(self):
"""
账单信息
:return:
"""
res = WebAction.test_api_78dk_platform_lm_viewUserBill(
begindate='', enddate='', name='', orderstate='', pagecurrent=1, pagesize=10, state='fail',
uuid=contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('需要再次调试')
def test_60_api_78dk_platform_tm_first_viewFirstCheckContract(self):
"""
Time :2019-07-22
author : 闫红
desc : 初审信息查询(新)
"""
res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContract(uid=contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_061_api_78dk_platform_tm_first_viewFirstCheckContract_not_exist(self):
"""
Time :2019-07-22
author : 闫红
desc : 初审信息查询(新),查询不存在的合同初审信息
"""
res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContract(uid='-1')
Assertion.verityContain(json.loads(res)['msg'], '查询合同基本信息时出错!')
Assertion.verity(json.loads(res)['code'], '20000')
def test_062_api_78dk_platform_tm_first_viewFirstCheckContract_overlong(self):
"""
Time :2019-07-22
author : 闫红
desc : 初审信息查询(新),合同id超长
"""
contract_uuid1 = MD.words_en_lower(24)
res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContract(uid=contract_uuid1)
Assertion.verityContain(json.loads(res)['msg'], '查询合同基本信息时出错!')
Assertion.verity(json.loads(res)['code'], '20000')
def test_063_api_78dk_platform_tm_first_viewFirstCheckContract_id_is_null(self):
"""
Time :2019-07-22
author : 闫红
desc : 初审信息查询(新),合同id为空
"""
res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContract(uid='')
Assertion.verityContain(json.loads(res)['msg'], 'ContractUuid不能为空!')
Assertion.verity(json.loads(res)['code'], '20000')
def test_064_api_78dk_platform_tm_first_viewFirstCheckContract_id_is_None(self):
"""
Time :2019-07-22
author : 闫红
desc : 初审信息查询(新),合同id为None
"""
res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContract(uid=None)
Assertion.verityContain(json.loads(res)['msg'], '系统发生内部异常')
Assertion.verity(json.loads(res)['code'], '20000')
def test_065_api_78dk_platform_tm_first_viewFirstCheckContracts_pass(self):
"""
Time :2019-07-22
author : 闫红
desc : 初审列表查询v1.3.0,查询成功
"""
res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContracts(
pagesize=10, state='pass', pagecurrent=1,
name='', begindate='', contractnumber='', enddate='', lable='', phone='', username='', firstcheckname='')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_066_api_78dk_platform_tm_first_viewFirstCheckContracts_fail(self):
"""
Time :2019-07-22
author : 闫红
desc : 初审列表查询v1.3.0,查询失败的列表
"""
res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContracts(
pagesize=10, state='fail', pagecurrent=1, name='', begindate='', contractnumber='', enddate='',
lable='', phone='', username='', firstcheckname='')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
def test_067_api_78dk_platform_tm_first_viewFirstCheckContracts_contractnumber_not_exist(self):
"""
Time :2019-07-22
author : 闫红
desc : 初审列表查询v1.3.0,合同编号不存在
"""
res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContracts(
pagesize=10, state='all', pagecurrent=1, name='', begindate='', contractnumber=-1,
enddate='', lable='', phone='', username='', firstcheckname='')
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('无结算')
def test_068_api_78dk_platform_tm_first_businessbillinginformation(self):
"""
Time :2019-07-22
author : 闫红
desc : 商户结算信息查询接口 - V1.3 新增
"""
res = WebAction.test_api_78dk_platform_tm_first_businessbillinginformation(contractuuid=contract_uuid)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('无结算')
def test_069_api_78dk_platform_tm_first_businessbillinginformation_not_exist(self):
"""
Time :2019-07-22
author : 闫红
desc : 商户结算信息查询接口 - V1.3 新增,contractuuid不存在
"""
res = WebAction.test_api_78dk_platform_tm_first_businessbillinginformation(contractuuid=-1)
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('无结算')
def test_070_api_78dk_platform_tm_first_businessbillinginformation_overlong(self):
"""
Time :2019-07-22
author : 闫红
desc : 商户结算信息查询接口 - V1.3 新增,contractuuid超长
"""
res = WebAction.test_api_78dk_platform_tm_first_businessbillinginformation(contractuuid=MD.number(256))
Assertion.verity(json.loads(res)['msg'], '成功')
Assertion.verity(json.loads(res)['code'], '10000')
@unittest.skip('无结算')
def test_071_api_78dk_platform_tm_first_businessbillinginformation_contractuuid_is_null(self):
"""
Time :2019-07-22
author : 闫红
desc : 商户结算信息查询接口 - V1.3 新增,contractuuid为空
"""
res = WebAction.test_api_78dk_platform_tm_first_businessbillinginformation(contractuuid='')
Assertion.verityContain(json.loads(res)['msg'], '参数异常')
Assertion.verity(json.loads(res)['code'], '20000')
def test_072_api_78dk_platform_tm_contractDetail(self):
"""
author : 罗林
desc : 订单详情--美佳v1.0.4重构接口
"""
res = WebAction.test_api_78dk_platform_tm_contractDetail(contractuuid='', process='')
Assertion.verity(json.loads(res)['code'], '20000')
# @unittest.expectedFailure
# def test_073_api_78dk_platform_tm_contractDocument(self):
# """
# author : 罗林
# desc : 合同信息--美佳v1.0.4重构接口
# """
# res = WebAction.test_api_78dk_platform_tm_contractDocument(contractuuid='')
# Assertion.verity(json.loads(res)['code'], '20000')
def test_074_api_78dk_platform_tm_auditReject(self):
"""
author : 罗林
desc : 审核驳回--美佳v1.0.4新增
"""
res = WebAction.test_api_78dk_platform_tm_auditReject(auditprocess='', contractuuid='', rejectmodel='')
Assertion.verity(json.loads(res)['code'], 'S0001')
Assertion.verity(json.loads(res)['msg'], '订单id不能为空')
def test_075_api_78dk_platform_tm_final_viewFinalCheckContract(self):
"""
author : 罗林
desc : 终审信息查询（美佳1.0.0新增一个字段）v1.0.4
"""
res = WebAction.test_api_78dk_platform_tm_final_viewFinalCheckContract(uid='')
Assertion.verity(json.loads(res)['code'], '20000')
Assertion.verity(json.loads(res)['msg'], 'ContractUuid不能为空!')
| [
"[email protected]"
] | |
a950e1fea6e22a293fa8d134164513e4fd5e63df | 4ce94e6fdfb55a889a0e7c4788fa95d2649f7bca | /User/apps/logreg/views.py | 26ada8889c8fa75821a4cceb627c5948d6d94bde | [] | no_license | HaochengYang/Django-class-assignment | 4018d8eb0619a99ebe8c3e47346d29934aafc66b | cb8f920f432209f88c810407ca646ee7dec82e22 | refs/heads/master | 2021-06-08T20:05:22.876794 | 2016-12-19T23:39:22 | 2016-12-19T23:39:22 | 75,032,572 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,430 | py | from django.shortcuts import render, redirect
from .models import User
from django.contrib import messages
# Create your views here.
def index(request):
return render(request, 'logreg/index.html')
def register(request):
response = User.objects.add_user(request.POST)
if response['status']:
# successful add a new user in here
request.session['user_id'] = response['new_user'].id
request.session['user_first_name'] = response['new_user'].first_name
request.session['user_last_name'] = response['new_user'].last_name
return redirect('logreg:main')
else:
for error in response['errors']:
messages.error(request, error)
return redirect('logreg:index')
def login(request):
response = User.objects.check_user(request.POST)
if response['status']:
# successful login user in here
request.session['user_id'] = response['login_user'].id
request.session['user_first_name'] = response['login_user'].first_name
request.session['user_last_name'] = response['login_user'].last_name
return redirect('logreg:main')
else:
#falid to validate
for error in response['errors']:
messages.error(request, error)
return redirect('logreg:index')
def main(request):
return render(request, 'logreg/success.html')
def logout(request):
request.session.clear()
return redirect('logreg:index')
| [
"[email protected]"
] | |
8a7bc189c27f77d9317613f60f7e3bc016ff5c8e | 2ed0ab730b62665b3a36841ab006eea961116f87 | /Hash/ValidSoduko.py | ef9721fb40020f4c7aa19f5c56366347684f6f3b | [] | no_license | scarlettlite/hackathon | 0f0a345d867b9e52823f10fe67c6ec210a40945f | 179ba9038bbed4d48cb2f044fd8430cf2be2bab3 | refs/heads/master | 2021-07-04T00:55:17.665292 | 2019-03-04T09:10:59 | 2019-03-04T09:10:59 | 141,269,070 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,494 | py | from collections import defaultdict
class Solution:
def __init__(self):
arr = [(0,2), (3,5), (6,8)]
self.sq = [(a,b,c,d) for a,b in arr for c,d in arr]
def getsqr(self, ir, ic):
for a,b,c,d in self.sq:
if a <= ir <= b and c <= ic <= d:
return a,b,c,d
def isValidSudoku(self, board):
"""
:type board: List[List[str]]
:rtype: bool
"""
rows = defaultdict(set)
cols = defaultdict(set)
sqrs = defaultdict(set)
for i, row in enumerate(board):
for j, x in enumerate(row):
if x == '.': continue
if x not in rows[i]:
rows[i].add(x)
else:
return False
if x not in cols[j]:
cols[j].add(x)
else:
return False
t = self.getsqr(i, j)
if x not in sqrs[t]:
sqrs[t].add(x)
else:
return False
return True
print(Solution().isValidSudoku([
["8","3",".",".","7",".",".",".","."],
["6",".",".","1","9","5",".",".","."],
[".","9","8",".",".",".",".","6","."],
["8",".",".",".","6",".",".",".","3"],
["4",".",".","8",".","3",".",".","1"],
["7",".",".",".","2",".",".",".","6"],
[".","6",".",".",".",".","2","8","."],
[".",".",".","4","1","9",".",".","5"],
[".",".",".",".","8",".",".","7","9"]
]))
| [
"[email protected]"
] | |
43dd394b16bcb1affa4035fe5a3d08f9a9a88fa1 | 6527b66fd08d9e7f833973adf421faccd8b765f5 | /yuancloud/recicler/l10n_jp/__yuancloud__.py | b492c6d6207e9dc3a4ba55e08b14acdd16a2b3e3 | [] | no_license | cash2one/yuancloud | 9a41933514e57167afb70cb5daba7f352673fb4d | 5a4fd72991c846d5cb7c5082f6bdfef5b2bca572 | refs/heads/master | 2021-06-19T22:11:08.260079 | 2017-06-29T06:26:15 | 2017-06-29T06:26:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,266 | py | # -*- coding: utf-8 -*-
# Part of YuanCloud. See LICENSE file for full copyright and licensing details.
# Copyright (C) Rooms For (Hong Kong) Limited T/A OSCG
{
'name': 'Japan - Accounting',
'version': '1.2',
'category' : 'Finance Management',
'description': """
Overview:
---------
* Chart of Accounts and Taxes template for companies in Japan.
* This probably does not cover all the necessary accounts for a company. \
You are expected to add/delete/modify accounts based on this template.
Note:
-----
* Fiscal positions '内税' and '外税' have been added to handle special \
requirements which might arise from POS implementation. [1] You may not \
need to use these at all under normal circumstances.
[1] See https://github.com/yuancloud/yuancloud/pull/6470 for detail.
""",
'author': 'Rooms For (Hong Kong) Limited T/A OSCG',
'website': 'http://www.yuancloud-asia.net/',
'depends': ['account'],
'data': [
'data/account_chart_template.xml',
'data/account.account.template.csv',
'data/account.tax.template.csv',
'data/account_chart_template_after.xml',
'data/account_chart_template.yml',
'data/account.fiscal.position.template.csv',
],
'installable': True,
}
| [
"[email protected]"
] | |
6c8ce69edeaeec26ac063384011a0af1deeb31ac | 082246f32a7972abdb674f424d3ba250666a8eb5 | /Demo/PyQt4/Sample Files/Logo.py | bc0ff66efb867e458c6c0a1cd88140624a59c61c | [] | no_license | maxale/Data-Mining | 4ef8c8a4403a9b1eb64dbec94414b8cf865134a7 | 19edff15047a2cce90515dae1d6c3d280284fc2a | refs/heads/master | 2023-04-29T19:42:23.586079 | 2023-04-24T14:59:07 | 2023-04-24T14:59:07 | 322,360,530 | 1 | 0 | null | 2023-03-29T21:02:45 | 2020-12-17T17:05:24 | null | UTF-8 | Python | false | false | 195 | py | import sys
from PyQt4 import QtGui, QtSvg
app = QtGui.QApplication(sys.argv)
svgWidget = QtSvg.QSvgWidget('pic1.svg')
svgWidget.setGeometry(50,50,759,668)
svgWidget.show()
sys.exit(app.exec_()) | [
"[email protected]"
] | |
183ea05ca67621b0b058eddd765cbe6d2b39188f | 80fd32cb735bfd288c4fb9be1280146f5cf15210 | /ditto/__init__.py | c61386e62de95b8c57e65526c1ef615a8bebac77 | [
"BSD-3-Clause"
] | permissive | NREL/ditto | c8e44ea04272b750dcbbaef2bfc33eb340822eb1 | 41b93f954af5836cbe5986add0c104b19dc22fde | refs/heads/master | 2023-08-23T02:41:59.653838 | 2023-07-11T16:25:38 | 2023-07-11T16:25:38 | 121,418,744 | 57 | 43 | BSD-3-Clause | 2023-07-11T16:25:40 | 2018-02-13T18:19:47 | Python | UTF-8 | Python | false | false | 208 | py | # -*- coding: utf-8 -*-
from __future__ import print_function, division, absolute_import
__author__ = """Tarek Elgindy"""
__email__ = "[email protected]"
__version__ = "0.1.0"
from .store import Store
| [
"[email protected]"
] | |
832e744fb6433173675ac4d52a40613a22346536 | 14164dfdc5f316ff259519d1aeb8671dad1b9749 | /lib/loaf/slack_api/web_client/team.py | 398e0b8ae939f27a2449c005838e4dd0536dec83 | [
"MIT"
] | permissive | cbehan/loaf | 4b537f75c97c1e78ef5d178ac59379460452648a | cb9c4edd33a33ff1d5a1931deb6705ddfe82d459 | refs/heads/master | 2021-12-14T15:04:15.568615 | 2021-12-02T22:47:08 | 2021-12-02T22:47:08 | 131,346,943 | 0 | 0 | null | 2018-04-27T21:34:34 | 2018-04-27T21:34:33 | null | UTF-8 | Python | false | false | 194 | py | class Team:
def __init__(self, client):
self.client = client
async def info(self):
result = await self.client.api_call('GET', 'team.info')
return result['team']
| [
"[email protected]"
] | |
fdad2b330e7d4bf50e981738677907efc6c4f7c1 | d8edd97f8f8dea3f9f02da6c40d331682bb43113 | /networks710.py | b687185e0191deab6ea8b5a72f9c772d153cfcd5 | [] | no_license | mdubouch/noise-gan | bdd5b2fff3aff70d5f464150443d51c2192eeafd | 639859ec4a2aa809d17eb6998a5a7d217559888a | refs/heads/master | 2023-07-15T09:37:57.631656 | 2021-08-27T11:02:45 | 2021-08-27T11:02:45 | 284,072,311 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,965 | py | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
__version__ = 205
# Number of wires in the CDC
n_wires = 3606
# Number of continuous features (E, t, dca)
n_features = 3
geom_dim = 3
def wire_hook(grad):
print('wg %.2e %.2e' % (grad.abs().mean().item(), grad.std().item()))
return grad
class Gen(nn.Module):
def __init__(self, ngf, latent_dims, seq_len, encoded_dim):
super().__init__()
self.ngf = ngf
self.seq_len = seq_len
self.version = __version__
# Input: (B, latent_dims, 1)
self.act = nn.ReLU()
n512 = 128
self.lin0 = nn.Linear(latent_dims, seq_len//1*n512, bias=True)
self.bn0 = nn.BatchNorm1d(n512)
self.n512 = n512
n256 = n512 // 2
n128 = n512 // 4
n64 = n512 // 8
n32 = n512 // 16
n16 = n512 // 32
#self.convu1 = nn.ConvTranspose1d(n512, n512, 4, 4, 0)
#self.bnu1 = nn.BatchNorm1d(n512)
#self.convu2 = nn.ConvTranspose1d(n512, n512, 8, 4, 2)
#self.bnu2 = nn.BatchNorm1d(n512)
#self.convu3 = nn.ConvTranspose1d(n512, n512, 8, 2, 3)
#self.bnu3 = nn.BatchNorm1d(n512)
#self.convu4 = nn.ConvTranspose1d(n512, n256, 8, 2, 3)
#self.bnu4 = nn.BatchNorm1d(n256)
#self.convu5 = nn.ConvTranspose1d(n256, n128, 8, 2, 3)
#self.bnu5 = nn.BatchNorm1d(n128)
#self.convu6 = nn.ConvTranspose1d(n128, n128, 8, 2, 3)
#self.bnu6 = nn.BatchNorm1d(n128)
self.convw1 = nn.Conv1d(n512, n_wires, 1, 1, 0)
self.convp1 = nn.Conv1d(n512, n_features, 1, 1, 0)
#self.conv1 = nn.ConvTranspose1d(n128, n128, 32, 2, 15)
#self.bn1 = nn.BatchNorm1d(n128)
#self.convw1 = nn.ConvTranspose1d(n128, n_wires, 1, 1, 0, bias=True)
#self.convp1 = nn.ConvTranspose1d(n128, n_features, 1, 1, 0)
self.out = nn.Tanh()
self.max_its = 3000
self.temp_min = 0.75
self.gen_it = 3000
def forward(self, z, wire_to_xy):
#print('latent space %.2e %.2e' % (z.mean().item(), z.std().item()))
# z: random point in latent space
x = self.act(self.bn0(self.lin0(z).reshape(-1, self.n512, self.seq_len // 1)))
#x = self.act(self.bnu1(self.convu1(x)))
#x = self.act(self.bnu2(self.convu2(x)))
#x = self.act(self.bnu3(self.convu3(x)))
#x = self.act(self.bnu4(self.convu4(x)))
#x = self.act(self.bnu5(self.convu5(x)))
#x = self.act(self.bnu6(self.convu6(x)))
#x = self.act(self.bn1(self.conv1(x)))
w = self.convw1(x)
#print(w.unsqueeze(0).shape)
#print((w.unsqueeze(0) - wire_to_xy.view(n_wires, 1, geom_dim, 1)).shape)
# w: (b, 2, seq)
# wire_to_xy: (2, n_wires)
#print(wire_to_xy.unsqueeze(0).unsqueeze(2).shape)
#print(w.unsqueeze(3).shape)
#import matplotlib.pyplot as plt
#import matplotlib.lines as lines
#plt.figure()
#plt.scatter(w[:,0,:].detach().cpu(), w[:,1,:].detach().cpu(), s=1)
#_l = lines.Line2D(w[:,0,:].detach().cpu(), w[:,1,:].detach().cpu(), linewidth=0.1, color='gray', alpha=0.7)
#plt.gca().add_line(_l)
#plt.gca().set_aspect(1.0)
#plt.savefig('test.png')
#plt.close()
#import matplotlib.pyplot as plt
#plt.figure()
#plt.plot(w[0,:,0].detach().cpu())
#plt.savefig('testw.png')
#plt.close()
#wdist = torch.norm(w.unsqueeze(3) - wire_to_xy.unsqueeze(0).unsqueeze(2), dim=1)
#print(wdist.shape)
##print(1/wdist)
#plt.figure()
#plt.plot(wdist[0,0,:].detach().cpu())
#plt.savefig('test.png')
#plt.close()
#self.gen_it += 1
tau = 1. / ((1./self.temp_min)**(self.gen_it / self.max_its))
#print(tau)
wg = F.gumbel_softmax(w, dim=1, hard=True, tau=tau)
#wg = F.softmax(w / 10., dim=1)
#print(wg.shape)
#exit(1)
#wg.register_hook(wire_hook)
#xy = torch.tensordot(wg, wire_to_xy, dims=[[1],[1]]).permute(0,2,1)
p = self.convp1(x)
#return torch.cat([self.out(p), xy], dim=1), wg
return self.out(p), wg
def xy_hook(grad):
print('xy %.2e %.2e' % (grad.abs().mean().item(), grad.std().item()))
return grad
class Disc(nn.Module):
def __init__(self, ndf, seq_len, encoded_dim):
super().__init__()
self.version = __version__
# (B, n_features, 256)
self.act = nn.LeakyReLU(0.2)
n512 = 512
n256 = n512 // 2
n128 = n256 // 2
n64 = n128 // 2
self.conv0 = nn.utils.spectral_norm(nn.Conv1d(geom_dim, n64, 1, 2, 0))
self.conv1 = nn.utils.spectral_norm(nn.Conv1d(n64, n128, 1, 2, 0))
self.conv2 = nn.utils.spectral_norm(nn.Conv1d(n64+n128, n256, 1, 2, 0))
self.conv3 = nn.utils.spectral_norm(nn.Conv1d(n256, n512, 1, 2, 0))
self.conv4 = nn.utils.spectral_norm(nn.Conv1d(n256+n512, n512, 1, 2, 0))
self.conv5 = nn.utils.spectral_norm(nn.Conv1d(n512, n512, 4, 4, 0))
self.conv6 = nn.utils.spectral_norm(nn.Conv1d(n512+n512, n512, 4, 4, 0))
#self.db1 = DBlock(n256)
#self.db2 = DBlock(n256)
#self.db3 = DBlock(n256)
#self.conv2 = nn.Conv1d(256, 512, 3, 2, 1)
#self.conv3 = nn.Conv1d(512, 1024, 3, 2, 1)
#self.conv4 = nn.Conv1d(1024, 2048, 3, 2, 1)
#self.lin0 = nn.Linear(256 * seq_len // 1, 1, bias=True)
#self.lin0 = nn.Linear(seq_len//4*512, 1)
#self.convf = nn.utils.spectral_norm(nn.Conv1d(n512, 1, 3, 1, 1, padding_mode='circular'))
self.lin0 = nn.utils.spectral_norm(nn.Linear(n512, 1))
#self.lin0 = nn.utils.spectral_norm(nn.Linear(n512*seq_len//32, 128))
#self.lin1 = nn.utils.spectral_norm(nn.Linear(128, 1))
self.out = nn.Identity()
def forward(self, x_):
# x_ is concatenated tensor of p_ and w_, shape (batch, features+n_wires, seq_len)
# p_ shape is (batch, features, seq_len),
# w_ is AE-encoded wire (batch, encoded_dim, seq_len)
seq_len = x_.shape[2]
x = x_
#dist = ((xy - nn.ConstantPad1d((1, 0), 0.0)(xy[:,:,:-1]))**2).sum(dim=1).unsqueeze(1)
p = x[:,:n_features]
xy = x[:,n_features:n_features+geom_dim]
wg = x[:,n_features+geom_dim:]
pxy = x[:,:n_features+geom_dim]
p = p
xy = xy
wg = wg
#print(wire0)
#print('mean %.2e %.2e' % (p.mean().item(), xy.mean().item()))
#print('std %.2e %.2e' % (p.std().item(), xy.std().item()))
#print('xy1 %.2e %.2e' % (xy.mean().item(), xy.std().item()))
print('p %.2e %.2e' %( p.abs().mean().item(), p.std().item()))
print('xy %.2e %.2e' %( xy.abs().mean().item(), xy.std().item()))
#print('xy2 %.2e %.2e' % (xy.mean().item(), xy.std().item()))
#x = torch.cat([p, xy], dim=1)
x = xy
x0 = self.conv0(x)
x1 = self.conv1(self.act(x0))
x0 = F.interpolate(x0, size=x1.shape[2], mode='area')
x2 = self.conv2(self.act(torch.cat([x0, x1], dim=1)))
x3 = self.conv3(self.act(x2))
x2 = F.interpolate(x2, size=x3.shape[2], mode='area')
x4 = self.conv4(self.act(torch.cat([x2, x3], dim=1)))
x5 = self.conv5(self.act(x4))
x4 = F.interpolate(x4, size=x5.shape[2], mode='area')
x6 = self.conv6(self.act(torch.cat([x4, x5], dim=1)))
x = self.act(x6)
x = self.lin0(x.mean(2))
return self.out(x)#.squeeze(1)
class VAE(nn.Module):
def __init__(self, encoded_dim):
super().__init__()
class Enc(nn.Module):
def __init__(self, hidden_size):
super().__init__()
self.act = nn.LeakyReLU(0.2)
self.lin1 = nn.Linear(n_wires, hidden_size)
self.lin2 = nn.Linear(hidden_size, encoded_dim)
self.out = nn.Tanh()
def forward(self, x):
x = self.act(self.lin1(x))
return self.out(self.lin2(x))
class Dec(nn.Module):
def __init__(self, hidden_size):
super().__init__()
self.act = nn.ReLU()
self.lin1 = nn.Linear(encoded_dim, hidden_size)
self.lin2 = nn.Linear(hidden_size, n_wires)
def forward(self, x):
x = self.act(self.lin1(x))
return self.lin2(x)
self.enc_net = Enc(512)
self.dec_net = Dec(512)
def enc(self, x):
return self.enc_net(x.permute(0, 2, 1)).permute(0,2,1)
def dec(self, x):
return self.dec_net(x.permute(0, 2, 1)).permute(0,2,1)
def forward(self, x):
y = self.dec_net(self.enc_net(x))
return y
def get_n_params(model):
return sum(p.reshape(-1).shape[0] for p in model.parameters())
| [
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] | |
e5d84d7646621256ddc5234054836df2021abe99 | 2f55769e4d6bc71bb8ca29399d3809b6d368cf28 | /Miniconda2/Lib/site-packages/sklearn/feature_selection/tests/test_base.py | 2e118b4b00b6cd2416b175913c43056efa022a37 | [] | no_license | jian9695/GSV2SVF | e5ec08b2d37dbc64a461449f73eb7388de8ef233 | 6ed92dac13ea13dfca80f2c0336ea7006a6fce87 | refs/heads/master | 2023-03-02T03:35:17.033360 | 2023-02-27T02:01:48 | 2023-02-27T02:01:48 | 199,570,103 | 9 | 16 | null | 2022-10-28T14:31:05 | 2019-07-30T03:47:41 | Python | UTF-8 | Python | false | false | 3,796 | py | import numpy as np
from scipy import sparse as sp
from numpy.testing import assert_array_equal
from sklearn.base import BaseEstimator
from sklearn.feature_selection.base import SelectorMixin
from sklearn.utils import check_array
from sklearn.utils.testing import assert_raises, assert_equal
class StepSelector(SelectorMixin, BaseEstimator):
"""Retain every `step` features (beginning with 0)"""
def __init__(self, step=2):
self.step = step
def fit(self, X, y=None):
X = check_array(X, 'csc')
self.n_input_feats = X.shape[1]
return self
def _get_support_mask(self):
mask = np.zeros(self.n_input_feats, dtype=bool)
mask[::self.step] = True
return mask
support = [True, False] * 5
support_inds = [0, 2, 4, 6, 8]
X = np.arange(20).reshape(2, 10)
Xt = np.arange(0, 20, 2).reshape(2, 5)
Xinv = X.copy()
Xinv[:, 1::2] = 0
y = [0, 1]
feature_names = list('ABCDEFGHIJ')
feature_names_t = feature_names[::2]
feature_names_inv = np.array(feature_names)
feature_names_inv[1::2] = ''
def test_transform_dense():
sel = StepSelector()
Xt_actual = sel.fit(X, y).transform(X)
Xt_actual2 = StepSelector().fit_transform(X, y)
assert_array_equal(Xt, Xt_actual)
assert_array_equal(Xt, Xt_actual2)
# Check dtype matches
assert_equal(np.int32, sel.transform(X.astype(np.int32)).dtype)
assert_equal(np.float32, sel.transform(X.astype(np.float32)).dtype)
# Check 1d list and other dtype:
names_t_actual = sel.transform([feature_names])
assert_array_equal(feature_names_t, names_t_actual.ravel())
# Check wrong shape raises error
assert_raises(ValueError, sel.transform, np.array([[1], [2]]))
def test_transform_sparse():
sparse = sp.csc_matrix
sel = StepSelector()
Xt_actual = sel.fit(sparse(X)).transform(sparse(X))
Xt_actual2 = sel.fit_transform(sparse(X))
assert_array_equal(Xt, Xt_actual.toarray())
assert_array_equal(Xt, Xt_actual2.toarray())
# Check dtype matches
assert_equal(np.int32, sel.transform(sparse(X).astype(np.int32)).dtype)
assert_equal(np.float32, sel.transform(sparse(X).astype(np.float32)).dtype)
# Check wrong shape raises error
assert_raises(ValueError, sel.transform, np.array([[1], [2]]))
def test_inverse_transform_dense():
sel = StepSelector()
Xinv_actual = sel.fit(X, y).inverse_transform(Xt)
assert_array_equal(Xinv, Xinv_actual)
# Check dtype matches
assert_equal(np.int32,
sel.inverse_transform(Xt.astype(np.int32)).dtype)
assert_equal(np.float32,
sel.inverse_transform(Xt.astype(np.float32)).dtype)
# Check 1d list and other dtype:
names_inv_actual = sel.inverse_transform([feature_names_t])
assert_array_equal(feature_names_inv, names_inv_actual.ravel())
# Check wrong shape raises error
assert_raises(ValueError, sel.inverse_transform, np.array([[1], [2]]))
def test_inverse_transform_sparse():
sparse = sp.csc_matrix
sel = StepSelector()
Xinv_actual = sel.fit(sparse(X)).inverse_transform(sparse(Xt))
assert_array_equal(Xinv, Xinv_actual.toarray())
# Check dtype matches
assert_equal(np.int32,
sel.inverse_transform(sparse(Xt).astype(np.int32)).dtype)
assert_equal(np.float32,
sel.inverse_transform(sparse(Xt).astype(np.float32)).dtype)
# Check wrong shape raises error
assert_raises(ValueError, sel.inverse_transform, np.array([[1], [2]]))
def test_get_support():
sel = StepSelector()
sel.fit(X, y)
assert_array_equal(support, sel.get_support())
assert_array_equal(support_inds, sel.get_support(indices=True))
| [
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c49bc7c391ad0bc404c7e3525a69ddda6921ed79 | 4ca821475c57437bb0adb39291d3121d305905d8 | /models/research/object_detection/core/standard_fields.py | 7bf128a92ea26c22f38959ee992ca9b9bcf0f129 | [
"Apache-2.0"
] | permissive | yefcion/ShipRec | 4a1a893b2fd50d34a66547caa230238b0bf386de | c74a676b545d42be453729505d52e172d76bea88 | refs/heads/master | 2021-09-17T04:49:47.330770 | 2018-06-28T02:25:50 | 2018-06-28T02:25:50 | 112,176,613 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 10,220 | py | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# 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.
# ==============================================================================
"""Contains classes specifying naming conventions used for object detection.
Specifies:
InputDataFields: standard fields used by reader/preprocessor/batcher.
DetectionResultFields: standard fields returned by object detector.
BoxListFields: standard field used by BoxList
TfExampleFields: standard fields for tf-example data format (go/tf-example).
"""
class InputDataFields(object):
"""Names for the input tensors.
Holds the standard data field names to use for identifying input tensors. This
should be used by the decoder to identify keys for the returned tensor_dict
containing input tensors. And it should be used by the model to identify the
tensors it needs.
Attributes:
image: image.
image_additional_channels: additional channels.
original_image: image in the original input size.
key: unique key corresponding to image.
source_id: source of the original image.
filename: original filename of the dataset (without common path).
groundtruth_image_classes: image-level class labels.
groundtruth_boxes: coordinates of the ground truth boxes in the image.
groundtruth_classes: box-level class labels.
groundtruth_label_types: box-level label types (e.g. explicit negative).
groundtruth_is_crowd: [DEPRECATED, use groundtruth_group_of instead]
is the groundtruth a single object or a crowd.
groundtruth_area: area of a groundtruth segment.
groundtruth_difficult: is a `difficult` object
groundtruth_group_of: is a `group_of` objects, e.g. multiple objects of the
same class, forming a connected group, where instances are heavily
occluding each other.
proposal_boxes: coordinates of object proposal boxes.
proposal_objectness: objectness score of each proposal.
groundtruth_instance_masks: ground truth instance masks.
groundtruth_instance_boundaries: ground truth instance boundaries.
groundtruth_instance_classes: instance mask-level class labels.
groundtruth_keypoints: ground truth keypoints.
groundtruth_keypoint_visibilities: ground truth keypoint visibilities.
groundtruth_label_scores: groundtruth label scores.
groundtruth_weights: groundtruth weight factor for bounding boxes.
num_groundtruth_boxes: number of groundtruth boxes.
true_image_shapes: true shapes of images in the resized images, as resized
images can be padded with zeros.
verified_labels: list of human-verified image-level labels (note, that a
label can be verified both as positive and negative).
multiclass_scores: the label score per class for each box.
"""
image = 'image'
image_additional_channels = 'image_additional_channels'
original_image = 'original_image'
key = 'key'
source_id = 'source_id'
filename = 'filename'
groundtruth_image_classes = 'groundtruth_image_classes'
groundtruth_boxes = 'groundtruth_boxes'
groundtruth_classes = 'groundtruth_classes'
groundtruth_label_types = 'groundtruth_label_types'
groundtruth_is_crowd = 'groundtruth_is_crowd'
groundtruth_area = 'groundtruth_area'
groundtruth_difficult = 'groundtruth_difficult'
groundtruth_group_of = 'groundtruth_group_of'
proposal_boxes = 'proposal_boxes'
proposal_objectness = 'proposal_objectness'
groundtruth_instance_masks = 'groundtruth_instance_masks'
groundtruth_instance_boundaries = 'groundtruth_instance_boundaries'
groundtruth_instance_classes = 'groundtruth_instance_classes'
groundtruth_keypoints = 'groundtruth_keypoints'
groundtruth_keypoint_visibilities = 'groundtruth_keypoint_visibilities'
groundtruth_label_scores = 'groundtruth_label_scores'
groundtruth_weights = 'groundtruth_weights'
num_groundtruth_boxes = 'num_groundtruth_boxes'
true_image_shape = 'true_image_shape'
verified_labels = 'verified_labels'
multiclass_scores = 'multiclass_scores'
class DetectionResultFields(object):
"""Naming conventions for storing the output of the detector.
Attributes:
source_id: source of the original image.
key: unique key corresponding to image.
detection_boxes: coordinates of the detection boxes in the image.
detection_scores: detection scores for the detection boxes in the image.
detection_classes: detection-level class labels.
detection_masks: contains a segmentation mask for each detection box.
detection_boundaries: contains an object boundary for each detection box.
detection_keypoints: contains detection keypoints for each detection box.
num_detections: number of detections in the batch.
"""
source_id = 'source_id'
key = 'key'
detection_boxes = 'detection_boxes'
detection_scores = 'detection_scores'
detection_classes = 'detection_classes'
detection_masks = 'detection_masks'
detection_boundaries = 'detection_boundaries'
detection_keypoints = 'detection_keypoints'
num_detections = 'num_detections'
class BoxListFields(object):
"""Naming conventions for BoxLists.
Attributes:
boxes: bounding box coordinates.
classes: classes per bounding box.
scores: scores per bounding box.
weights: sample weights per bounding box.
objectness: objectness score per bounding box.
masks: masks per bounding box.
boundaries: boundaries per bounding box.
keypoints: keypoints per bounding box.
keypoint_heatmaps: keypoint heatmaps per bounding box.
is_crowd: is_crowd annotation per bounding box.
"""
boxes = 'boxes'
classes = 'classes'
scores = 'scores'
weights = 'weights'
objectness = 'objectness'
masks = 'masks'
boundaries = 'boundaries'
keypoints = 'keypoints'
keypoint_heatmaps = 'keypoint_heatmaps'
is_crowd = 'is_crowd'
class TfExampleFields(object):
"""TF-example proto feature names for object detection.
Holds the standard feature names to load from an Example proto for object
detection.
Attributes:
image_encoded: JPEG encoded string
image_format: image format, e.g. "JPEG"
filename: filename
channels: number of channels of image
colorspace: colorspace, e.g. "RGB"
height: height of image in pixels, e.g. 462
width: width of image in pixels, e.g. 581
source_id: original source of the image
image_class_text: image-level label in text format
image_class_label: image-level label in numerical format
object_class_text: labels in text format, e.g. ["person", "cat"]
object_class_label: labels in numbers, e.g. [16, 8]
object_bbox_xmin: xmin coordinates of groundtruth box, e.g. 10, 30
object_bbox_xmax: xmax coordinates of groundtruth box, e.g. 50, 40
object_bbox_ymin: ymin coordinates of groundtruth box, e.g. 40, 50
object_bbox_ymax: ymax coordinates of groundtruth box, e.g. 80, 70
object_view: viewpoint of object, e.g. ["frontal", "left"]
object_truncated: is object truncated, e.g. [true, false]
object_occluded: is object occluded, e.g. [true, false]
object_difficult: is object difficult, e.g. [true, false]
object_group_of: is object a single object or a group of objects
object_depiction: is object a depiction
object_is_crowd: [DEPRECATED, use object_group_of instead]
is the object a single object or a crowd
object_segment_area: the area of the segment.
object_weight: a weight factor for the object's bounding box.
instance_masks: instance segmentation masks.
instance_boundaries: instance boundaries.
instance_classes: Classes for each instance segmentation mask.
detection_class_label: class label in numbers.
detection_bbox_ymin: ymin coordinates of a detection box.
detection_bbox_xmin: xmin coordinates of a detection box.
detection_bbox_ymax: ymax coordinates of a detection box.
detection_bbox_xmax: xmax coordinates of a detection box.
detection_score: detection score for the class label and box.
"""
image_encoded = 'image/encoded'
image_format = 'image/format' # format is reserved keyword
filename = 'image/filename'
channels = 'image/channels'
colorspace = 'image/colorspace'
height = 'image/height'
width = 'image/width'
source_id = 'image/source_id'
image_class_text = 'image/class/text'
image_class_label = 'image/class/label'
object_class_text = 'image/object/class/text'
object_class_label = 'image/object/class/label'
object_bbox_ymin = 'image/object/bbox/ymin'
object_bbox_xmin = 'image/object/bbox/xmin'
object_bbox_ymax = 'image/object/bbox/ymax'
object_bbox_xmax = 'image/object/bbox/xmax'
object_view = 'image/object/view'
object_truncated = 'image/object/truncated'
object_occluded = 'image/object/occluded'
object_difficult = 'image/object/difficult'
object_group_of = 'image/object/group_of'
object_depiction = 'image/object/depiction'
object_is_crowd = 'image/object/is_crowd'
object_segment_area = 'image/object/segment/area'
object_weight = 'image/object/weight'
instance_masks = 'image/segmentation/object'
instance_boundaries = 'image/boundaries/object'
instance_classes = 'image/segmentation/object/class'
detection_class_label = 'image/detection/label'
detection_bbox_ymin = 'image/detection/bbox/ymin'
detection_bbox_xmin = 'image/detection/bbox/xmin'
detection_bbox_ymax = 'image/detection/bbox/ymax'
detection_bbox_xmax = 'image/detection/bbox/xmax'
detection_score = 'image/detection/score'
| [
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f99600be5c8c03928c69180bccdb942a3fd04a83 | bc441bb06b8948288f110af63feda4e798f30225 | /container_sdk/api/hpa/hpa_client.py | 255789842ee9a30e61634e383487feb93b1428f1 | [
"Apache-2.0"
] | permissive | easyopsapis/easyops-api-python | 23204f8846a332c30f5f3ff627bf220940137b6b | adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0 | refs/heads/master | 2020-06-26T23:38:27.308803 | 2020-06-16T07:25:41 | 2020-06-16T07:25:41 | 199,773,131 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,468 | py | # -*- coding: utf-8 -*-
import os
import sys
import container_sdk.api.hpa.delete_hpa_pb2
import google.protobuf.empty_pb2
import container_sdk.api.hpa.update_pb2
import container_sdk.model.container.hpa_pb2
import container_sdk.utils.http_util
import google.protobuf.json_format
class HpaClient(object):
def __init__(self, server_ip="", server_port=0, service_name="", host=""):
"""
初始化client
:param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由
:param server_port: 指定sdk请求的server_port，与server_ip一起使用, 为空时走名字服务路由
:param service_name: 指定sdk请求的service_name, 为空时按契约名称路由。如果server_ip和service_name同时设置，server_ip优先级更高
:param host: 指定sdk请求服务的host名称, 如cmdb.easyops-only.com
"""
if server_ip == "" and server_port != 0 or server_ip != "" and server_port == 0:
raise Exception("server_ip和server_port必须同时指定")
self._server_ip = server_ip
self._server_port = server_port
self._service_name = service_name
self._host = host
def delete_hpa(self, request, org, user, timeout=10):
# type: (container_sdk.api.hpa.delete_hpa_pb2.DeleteHPARequest, int, str, int) -> google.protobuf.empty_pb2.Empty
"""
删除 HPA
:param request: delete_hpa请求
:param org: 客户的org编号，为数字
:param user: 调用api使用的用户名
:param timeout: 调用超时时间，单位秒
:return: google.protobuf.empty_pb2.Empty
"""
headers = {"org": org, "user": user}
route_name = ""
server_ip = self._server_ip
if self._service_name != "":
route_name = self._service_name
elif self._server_ip != "":
route_name = "easyops.api.container.hpa.DeleteHPA"
uri = "/api/container/v1/horizontalpodautoscalers/{instanceId}".format(
instanceId=request.instanceId,
)
requestParam = request
rsp_obj = container_sdk.utils.http_util.do_api_request(
method="DELETE",
src_name="logic.container_sdk",
dst_name=route_name,
server_ip=server_ip,
server_port=self._server_port,
host=self._host,
uri=uri,
params=google.protobuf.json_format.MessageToDict(
requestParam, preserving_proto_field_name=True),
headers=headers,
timeout=timeout,
)
rsp = google.protobuf.empty_pb2.Empty()
google.protobuf.json_format.ParseDict(rsp_obj, rsp, ignore_unknown_fields=True)
return rsp
def update(self, request, org, user, timeout=10):
# type: (container_sdk.api.hpa.update_pb2.UpdateRequest, int, str, int) -> container_sdk.model.container.hpa_pb2.HorizontalPodAutoscaler
"""
更新 HPA
:param request: update请求
:param org: 客户的org编号，为数字
:param user: 调用api使用的用户名
:param timeout: 调用超时时间，单位秒
:return: container_sdk.model.container.hpa_pb2.HorizontalPodAutoscaler
"""
headers = {"org": org, "user": user}
route_name = ""
server_ip = self._server_ip
if self._service_name != "":
route_name = self._service_name
elif self._server_ip != "":
route_name = "easyops.api.container.hpa.Update"
uri = "/api/container/v1/horizontalpodautoscalers/{instanceId}".format(
instanceId=request.instanceId,
)
requestParam = request
rsp_obj = container_sdk.utils.http_util.do_api_request(
method="PUT",
src_name="logic.container_sdk",
dst_name=route_name,
server_ip=server_ip,
server_port=self._server_port,
host=self._host,
uri=uri,
params=google.protobuf.json_format.MessageToDict(
requestParam, preserving_proto_field_name=True),
headers=headers,
timeout=timeout,
)
rsp = container_sdk.model.container.hpa_pb2.HorizontalPodAutoscaler()
google.protobuf.json_format.ParseDict(rsp_obj["data"], rsp, ignore_unknown_fields=True)
return rsp
| [
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50c0dd89f9d5f33b5fd955695c6dfc1d7b182a64 | 625ff91e8d6b4cdce9c60f76e693d32b761bfa16 | /uk.ac.gda.core/scripts/gdadevscripts/developertools/checkScannableNames.py | 6a7b8fee428d3ee3fc6cd6a66c7d043b002d7436 | [] | no_license | openGDA/gda-core | 21296e4106d71d6ad8c0d4174a53890ea5d9ad42 | c6450c22d2094f40ca3015547c60fbf644173a4c | refs/heads/master | 2023-08-22T15:05:40.149955 | 2023-08-22T10:06:42 | 2023-08-22T10:06:42 | 121,757,680 | 4 | 3 | null | null | null | null | UTF-8 | Python | false | false | 391 | py | # Run this module to show scannables whose (internal) name differs from their (external) label
from gda.device import Scannable
print "The following scannables have labels (for typing) different than names(that go into files)"
print "Label\tName"
for label in dir():
if (isinstance(eval(label),Scannable)):
name = eval(label).getName()
if label!=name:
print label + "\t : " + name
| [
"[email protected]"
] | |
1b6cdec612f24ad9c488251181f7819734ff2bd0 | b5550fc728b23cb5890fd58ccc5e1668548dc4e3 | /tests/compute/test_resource_tracker.py | c0b0a42e2eaf7f3d5a7a410a7add4254da4501f5 | [] | no_license | bopopescu/nova-24 | 0de13f078cf7a2b845cf01e613aaca2d3ae6104c | 3247a7199932abf9718fb3260db23e9e40013731 | refs/heads/master | 2022-11-20T00:48:53.224075 | 2016-12-22T09:09:57 | 2016-12-22T09:09:57 | 282,140,423 | 0 | 0 | null | 2020-07-24T06:24:14 | 2020-07-24T06:24:13 | null | UTF-8 | Python | false | false | 61,934 | py | #coding:utf-8
# Copyright (c) 2012 OpenStack Foundation
# 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.
"""Tests for compute resource tracking."""
import uuid
import mock
from oslo.config import cfg
from nova.compute import flavors
from nova.compute import resource_tracker
from nova.compute import resources
from nova.compute import task_states
from nova.compute import vm_states
from nova import context
from nova import db
from nova import objects
from nova.objects import base as obj_base
from nova.openstack.common import jsonutils
from nova.openstack.common import timeutils
from nova import rpc
from nova import test
from nova.tests.compute.monitors import test_monitors
from nova.tests.objects import test_migration
from nova.tests.pci import pci_fakes
from nova.virt import driver
from nova.virt import hardware
FAKE_VIRT_MEMORY_MB = 5
FAKE_VIRT_MEMORY_OVERHEAD = 1
FAKE_VIRT_MEMORY_WITH_OVERHEAD = (
FAKE_VIRT_MEMORY_MB + FAKE_VIRT_MEMORY_OVERHEAD)
FAKE_VIRT_NUMA_TOPOLOGY = hardware.VirtNUMAHostTopology(
cells=[hardware.VirtNUMATopologyCellUsage(0, set([1, 2]), 3072),
hardware.VirtNUMATopologyCellUsage(1, set([3, 4]), 3072)])
FAKE_VIRT_NUMA_TOPOLOGY_OVERHEAD = hardware.VirtNUMALimitTopology(
cells=[hardware.VirtNUMATopologyCellLimit(
0, set([1, 2]), 3072, 4, 10240),
hardware.VirtNUMATopologyCellLimit(
1, set([3, 4]), 3072, 4, 10240)])
ROOT_GB = 5
EPHEMERAL_GB = 1
FAKE_VIRT_LOCAL_GB = ROOT_GB + EPHEMERAL_GB
FAKE_VIRT_VCPUS = 1
FAKE_VIRT_STATS = {'virt_stat': 10}
FAKE_VIRT_STATS_JSON = jsonutils.dumps(FAKE_VIRT_STATS)
RESOURCE_NAMES = ['vcpu']
CONF = cfg.CONF
class UnsupportedVirtDriver(driver.ComputeDriver):
"""Pretend version of a lame virt driver."""
def __init__(self):
super(UnsupportedVirtDriver, self).__init__(None)
def get_host_ip_addr(self):
return '127.0.0.1'
def get_available_resource(self, nodename):
# no support for getting resource usage info
return {}
class FakeVirtDriver(driver.ComputeDriver):
def __init__(self, pci_support=False, stats=None,
numa_topology=FAKE_VIRT_NUMA_TOPOLOGY):
super(FakeVirtDriver, self).__init__(None)
self.memory_mb = FAKE_VIRT_MEMORY_MB
self.local_gb = FAKE_VIRT_LOCAL_GB
self.vcpus = FAKE_VIRT_VCPUS
self.numa_topology = numa_topology
self.memory_mb_used = 0
self.local_gb_used = 0
self.pci_support = pci_support
self.pci_devices = [{
'label': 'forza-napoli',
'dev_type': 'foo',
'compute_node_id': 1,
'address': '0000:00:00.1',
'product_id': 'p1',
'vendor_id': 'v1',
'status': 'available',
'extra_k1': 'v1'}] if self.pci_support else []
self.pci_stats = [{
'count': 1,
'vendor_id': 'v1',
'product_id': 'p1'}] if self.pci_support else []
if stats is not None:
self.stats = stats
def get_host_ip_addr(self):
return '127.0.0.1'
def get_available_resource(self, nodename):
d = {
'vcpus': self.vcpus,
'memory_mb': self.memory_mb,
'local_gb': self.local_gb,
'vcpus_used': 0,
'memory_mb_used': self.memory_mb_used,
'local_gb_used': self.local_gb_used,
'hypervisor_type': 'fake',
'hypervisor_version': 0,
'hypervisor_hostname': 'fakehost',
'cpu_info': '',
'numa_topology': (
self.numa_topology.to_json() if self.numa_topology else None),
}
if self.pci_support:
d['pci_passthrough_devices'] = jsonutils.dumps(self.pci_devices)
if hasattr(self, 'stats'):
d['stats'] = self.stats
return d
def estimate_instance_overhead(self, instance_info):
instance_info['memory_mb'] # make sure memory value is present
overhead = {
'memory_mb': FAKE_VIRT_MEMORY_OVERHEAD
}
return overhead # just return a constant value for testing
class BaseTestCase(test.TestCase):
def setUp(self):
super(BaseTestCase, self).setUp()
self.flags(reserved_host_disk_mb=0,
reserved_host_memory_mb=0)
self.context = context.get_admin_context()
self.flags(use_local=True, group='conductor')
self.conductor = self.start_service('conductor',
manager=CONF.conductor.manager)
self._instances = {}
self._numa_topologies = {}
self._instance_types = {}
self.stubs.Set(self.conductor.db,
'instance_get_all_by_host_and_node',
self._fake_instance_get_all_by_host_and_node)
self.stubs.Set(db, 'instance_extra_get_by_instance_uuid',
self._fake_instance_extra_get_by_instance_uuid)
self.stubs.Set(self.conductor.db,
'instance_update_and_get_original',
self._fake_instance_update_and_get_original)
self.stubs.Set(self.conductor.db,
'flavor_get', self._fake_flavor_get)
self.host = 'fakehost'
self.compute = self._create_compute_node()
self.updated = False
self.deleted = False
self.update_call_count = 0
def _create_compute_node(self, values=None):
compute = {
"id": 1,
"service_id": 1,
"vcpus": 1,
"memory_mb": 1,
"local_gb": 1,
"vcpus_used": 1,
"memory_mb_used": 1,
"local_gb_used": 1,
"free_ram_mb": 1,
"free_disk_gb": 1,
"current_workload": 1,
"running_vms": 0,
"cpu_info": None,
"numa_topology": None,
"stats": {
"num_instances": "1",
},
"hypervisor_hostname": "fakenode",
}
if values:
compute.update(values)
return compute
def _create_service(self, host="fakehost", compute=None):
if compute:
compute = [compute]
service = {
"id": 1,
"host": host,
"binary": "nova-compute",
"topic": "compute",
"compute_node": compute,
}
return service
def _fake_instance_system_metadata(self, instance_type, prefix=''):
sys_meta = []
for key in flavors.system_metadata_flavor_props.keys():
sys_meta.append({'key': '%sinstance_type_%s' % (prefix, key),
'value': instance_type[key]})
return sys_meta
def _fake_instance(self, stash=True, flavor=None, **kwargs):
# Default to an instance ready to resize to or from the same
# instance_type
flavor = flavor or self._fake_flavor_create()
sys_meta = self._fake_instance_system_metadata(flavor)
if stash:
# stash instance types in system metadata.
sys_meta = (sys_meta +
self._fake_instance_system_metadata(flavor, 'new_') +
self._fake_instance_system_metadata(flavor, 'old_'))
instance_uuid = str(uuid.uuid1())
instance = {
'uuid': instance_uuid,
'vm_state': vm_states.RESIZED,
'task_state': None,
'ephemeral_key_uuid': None,
'os_type': 'Linux',
'project_id': '123456',
'host': None,
'node': None,
'instance_type_id': flavor['id'],
'memory_mb': flavor['memory_mb'],
'vcpus': flavor['vcpus'],
'root_gb': flavor['root_gb'],
'ephemeral_gb': flavor['ephemeral_gb'],
'launched_on': None,
'system_metadata': sys_meta,
'availability_zone': None,
'vm_mode': None,
'reservation_id': None,
'display_name': None,
'default_swap_device': None,
'power_state': None,
'scheduled_at': None,
'access_ip_v6': None,
'access_ip_v4': None,
'key_name': None,
'updated_at': None,
'cell_name': None,
'locked': None,
'locked_by': None,
'launch_index': None,
'architecture': None,
'auto_disk_config': None,
'terminated_at': None,
'ramdisk_id': None,
'user_data': None,
'cleaned': None,
'deleted_at': None,
'id': 333,
'disable_terminate': None,
'hostname': None,
'display_description': None,
'key_data': None,
'deleted': None,
'default_ephemeral_device': None,
'progress': None,
'launched_at': None,
'config_drive': None,
'kernel_id': None,
'user_id': None,
'shutdown_terminate': None,
'created_at': None,
'image_ref': None,
'root_device_name': None,
}
numa_topology = kwargs.pop('numa_topology', None)
if numa_topology:
numa_topology = {
'id': 1, 'created_at': None, 'updated_at': None,
'deleted_at': None, 'deleted': None,
'instance_uuid': instance['uuid'],
'numa_topology': numa_topology.to_json()
}
instance.update(kwargs)
self._instances[instance_uuid] = instance
self._numa_topologies[instance_uuid] = numa_topology
return instance
def _fake_flavor_create(self, **kwargs):
instance_type = {
'id': 1,
'created_at': None,
'updated_at': None,
'deleted_at': None,
'deleted': False,
'disabled': False,
'is_public': True,
'name': 'fakeitype',
'memory_mb': FAKE_VIRT_MEMORY_MB,
'vcpus': FAKE_VIRT_VCPUS,
'root_gb': ROOT_GB,
'ephemeral_gb': EPHEMERAL_GB,
'swap': 0,
'rxtx_factor': 1.0,
'vcpu_weight': 1,
'flavorid': 'fakeflavor',
'extra_specs': {},
}
instance_type.update(**kwargs)
id_ = instance_type['id']
self._instance_types[id_] = instance_type
return instance_type
def _fake_instance_get_all_by_host_and_node(self, context, host, nodename):
return [i for i in self._instances.values() if i['host'] == host]
def _fake_instance_extra_get_by_instance_uuid(self, context,
instance_uuid):
return self._numa_topologies.get(instance_uuid)
def _fake_flavor_get(self, ctxt, id_):
return self._instance_types[id_]
def _fake_instance_update_and_get_original(self, context, instance_uuid,
values):
instance = self._instances[instance_uuid]
instance.update(values)
# the test doesn't care what the original instance values are, it's
# only used in the subsequent notification:
return (instance, instance)
def _fake_compute_node_update(self, ctx, compute_node_id, values,
prune_stats=False):
self.update_call_count += 1
self.updated = True
self.compute.update(values)
return self.compute
def _driver(self):
return FakeVirtDriver()
def _tracker(self, host=None):
if host is None:
host = self.host
node = "fakenode"
driver = self._driver()
tracker = resource_tracker.ResourceTracker(host, driver, node)
tracker.compute_node = self._create_compute_node()
tracker.ext_resources_handler = \
resources.ResourceHandler(RESOURCE_NAMES, True)
return tracker
class UnsupportedDriverTestCase(BaseTestCase):
"""Resource tracking should be disabled when the virt driver doesn't
support it.
"""
def setUp(self):
super(UnsupportedDriverTestCase, self).setUp()
self.tracker = self._tracker()
# seed tracker with data:
self.tracker.update_available_resource(self.context)
def _driver(self):
return UnsupportedVirtDriver()
def test_disabled(self):
# disabled = no compute node stats
self.assertTrue(self.tracker.disabled)
self.assertIsNone(self.tracker.compute_node)
def test_disabled_claim(self):
# basic claim:
instance = self._fake_instance()
claim = self.tracker.instance_claim(self.context, instance)
self.assertEqual(0, claim.memory_mb)
def test_disabled_instance_claim(self):
# instance variation:
instance = self._fake_instance()
claim = self.tracker.instance_claim(self.context, instance)
self.assertEqual(0, claim.memory_mb)
def test_disabled_instance_context_claim(self):
# instance context manager variation:
instance = self._fake_instance()
claim = self.tracker.instance_claim(self.context, instance)
with self.tracker.instance_claim(self.context, instance) as claim:
self.assertEqual(0, claim.memory_mb)
def test_disabled_updated_usage(self):
instance = self._fake_instance(host='fakehost', memory_mb=5,
root_gb=10)
self.tracker.update_usage(self.context, instance)
def test_disabled_resize_claim(self):
instance = self._fake_instance()
instance_type = self._fake_flavor_create()
claim = self.tracker.resize_claim(self.context, instance,
instance_type)
self.assertEqual(0, claim.memory_mb)
self.assertEqual(instance['uuid'], claim.migration['instance_uuid'])
self.assertEqual(instance_type['id'],
claim.migration['new_instance_type_id'])
def test_disabled_resize_context_claim(self):
instance = self._fake_instance()
instance_type = self._fake_flavor_create()
with self.tracker.resize_claim(self.context, instance, instance_type) \
as claim:
self.assertEqual(0, claim.memory_mb)
class MissingServiceTestCase(BaseTestCase):
def setUp(self):
super(MissingServiceTestCase, self).setUp()
self.context = context.get_admin_context()
self.tracker = self._tracker()
def test_missing_service(self):
self.tracker.compute_node = None
self.tracker._get_service = mock.Mock(return_value=None)
self.tracker.update_available_resource(self.context)
self.assertTrue(self.tracker.disabled)
class MissingComputeNodeTestCase(BaseTestCase):
def setUp(self):
super(MissingComputeNodeTestCase, self).setUp()
self.tracker = self._tracker()
self.stubs.Set(db, 'service_get_by_compute_host',
self._fake_service_get_by_compute_host)
self.stubs.Set(db, 'compute_node_create',
self._fake_create_compute_node)
self.tracker.scheduler_client.update_resource_stats = mock.Mock()
def _fake_create_compute_node(self, context, values):
self.created = True
return self._create_compute_node(values)
def _fake_service_get_by_compute_host(self, ctx, host):
# return a service with no joined compute
service = self._create_service()
return service
def test_create_compute_node(self):
self.tracker.compute_node = None
self.tracker.update_available_resource(self.context)
self.assertTrue(self.created)
def test_enabled(self):
self.tracker.update_available_resource(self.context)
self.assertFalse(self.tracker.disabled)
class BaseTrackerTestCase(BaseTestCase):
def setUp(self):
# setup plumbing for a working resource tracker with required
# database models and a compatible compute driver:
super(BaseTrackerTestCase, self).setUp()
self.tracker = self._tracker()
self._migrations = {}
self.stubs.Set(db, 'service_get_by_compute_host',
self._fake_service_get_by_compute_host)
self.stubs.Set(db, 'compute_node_update',
self._fake_compute_node_update)
self.stubs.Set(db, 'compute_node_delete',
self._fake_compute_node_delete)
self.stubs.Set(db, 'migration_update',
self._fake_migration_update)
self.stubs.Set(db, 'migration_get_in_progress_by_host_and_node',
self._fake_migration_get_in_progress_by_host_and_node)
# Note that this must be called before the call to _init_tracker()
patcher = pci_fakes.fake_pci_whitelist()
self.addCleanup(patcher.stop)
self.stubs.Set(self.tracker.scheduler_client, 'update_resource_stats',
self._fake_compute_node_update)
self._init_tracker()
self.limits = self._limits()
def _fake_service_get_by_compute_host(self, ctx, host):
self.service = self._create_service(host, compute=self.compute)
return self.service
def _fake_compute_node_update(self, ctx, compute_node_id, values,
prune_stats=False):
self.update_call_count += 1
self.updated = True
self.compute.update(values)
return self.compute
def _fake_compute_node_delete(self, ctx, compute_node_id):
self.deleted = True
self.compute.update({'deleted': 1})
return self.compute
def _fake_migration_get_in_progress_by_host_and_node(self, ctxt, host,
node):
status = ['confirmed', 'reverted', 'error']
migrations = []
for migration in self._migrations.values():
migration = obj_base.obj_to_primitive(migration)
if migration['status'] in status:
continue
uuid = migration['instance_uuid']
migration['instance'] = self._instances[uuid]
migrations.append(migration)
return migrations
def _fake_migration_update(self, ctxt, migration_id, values):
# cheat and assume there's only 1 migration present
migration = self._migrations.values()[0]
migration.update(values)
return migration
def _init_tracker(self):
self.tracker.update_available_resource(self.context)
def _limits(self, memory_mb=FAKE_VIRT_MEMORY_WITH_OVERHEAD,
disk_gb=FAKE_VIRT_LOCAL_GB,
vcpus=FAKE_VIRT_VCPUS,
numa_topology=FAKE_VIRT_NUMA_TOPOLOGY_OVERHEAD):
"""Create limits dictionary used for oversubscribing resources."""
return {
'memory_mb': memory_mb,
'disk_gb': disk_gb,
'vcpu': vcpus,
'numa_topology': numa_topology.to_json() if numa_topology else None
}
def assertEqualNUMAHostTopology(self, expected, got):
attrs = ('cpuset', 'memory', 'id', 'cpu_usage', 'memory_usage')
if None in (expected, got):
if expected != got:
raise AssertionError("Topologies don't match. Expected: "
"%(expected)s, but got: %(got)s" %
{'expected': expected, 'got': got})
else:
return
if len(expected) != len(got):
raise AssertionError("Topologies don't match due to different "
"number of cells. Expected: "
"%(expected)s, but got: %(got)s" %
{'expected': expected, 'got': got})
for exp_cell, got_cell in zip(expected.cells, got.cells):
for attr in attrs:
if getattr(exp_cell, attr) != getattr(got_cell, attr):
raise AssertionError("Topologies don't match. Expected: "
"%(expected)s, but got: %(got)s" %
{'expected': expected, 'got': got})
def _assert(self, value, field, tracker=None):
if tracker is None:
tracker = self.tracker
if field not in tracker.compute_node:
raise test.TestingException(
"'%(field)s' not in compute node." % {'field': field})
x = tracker.compute_node[field]
if field == 'numa_topology':
self.assertEqualNUMAHostTopology(
value, hardware.VirtNUMAHostTopology.from_json(x))
else:
self.assertEqual(value, x)
class TrackerTestCase(BaseTrackerTestCase):
def test_free_ram_resource_value(self):
driver = FakeVirtDriver()
mem_free = driver.memory_mb - driver.memory_mb_used
self.assertEqual(mem_free, self.tracker.compute_node['free_ram_mb'])
def test_free_disk_resource_value(self):
driver = FakeVirtDriver()
mem_free = driver.local_gb - driver.local_gb_used
self.assertEqual(mem_free, self.tracker.compute_node['free_disk_gb'])
def test_update_compute_node(self):
self.assertFalse(self.tracker.disabled)
self.assertTrue(self.updated)
def test_init(self):
driver = self._driver()
self._assert(FAKE_VIRT_MEMORY_MB, 'memory_mb')
self._assert(FAKE_VIRT_LOCAL_GB, 'local_gb')
self._assert(FAKE_VIRT_VCPUS, 'vcpus')
self._assert(FAKE_VIRT_NUMA_TOPOLOGY, 'numa_topology')
self._assert(0, 'memory_mb_used')
self._assert(0, 'local_gb_used')
self._assert(0, 'vcpus_used')
self._assert(0, 'running_vms')
self._assert(FAKE_VIRT_MEMORY_MB, 'free_ram_mb')
self._assert(FAKE_VIRT_LOCAL_GB, 'free_disk_gb')
self.assertFalse(self.tracker.disabled)
self.assertEqual(0, self.tracker.compute_node['current_workload'])
self.assertEqual(driver.pci_stats,
jsonutils.loads(self.tracker.compute_node['pci_stats']))
class SchedulerClientTrackerTestCase(BaseTrackerTestCase):
def setUp(self):
super(SchedulerClientTrackerTestCase, self).setUp()
self.tracker.scheduler_client.update_resource_stats = mock.Mock(
side_effect=self._fake_compute_node_update)
def test_update_resource(self):
self.tracker._write_ext_resources = mock.Mock()
values = {'stats': {}, 'foo': 'bar', 'baz_count': 0}
self.tracker._update(self.context, values)
expected = {'stats': '{}', 'foo': 'bar', 'baz_count': 0,
'id': 1}
self.tracker.scheduler_client.update_resource_stats.\
assert_called_once_with(self.context,
("fakehost", "fakenode"),
expected)
class TrackerPciStatsTestCase(BaseTrackerTestCase):
def test_update_compute_node(self):
self.assertFalse(self.tracker.disabled)
self.assertTrue(self.updated)
def test_init(self):
driver = self._driver()
self._assert(FAKE_VIRT_MEMORY_MB, 'memory_mb')
self._assert(FAKE_VIRT_LOCAL_GB, 'local_gb')
self._assert(FAKE_VIRT_VCPUS, 'vcpus')
self._assert(FAKE_VIRT_NUMA_TOPOLOGY, 'numa_topology')
self._assert(0, 'memory_mb_used')
self._assert(0, 'local_gb_used')
self._assert(0, 'vcpus_used')
self._assert(0, 'running_vms')
self._assert(FAKE_VIRT_MEMORY_MB, 'free_ram_mb')
self._assert(FAKE_VIRT_LOCAL_GB, 'free_disk_gb')
self.assertFalse(self.tracker.disabled)
self.assertEqual(0, self.tracker.compute_node['current_workload'])
self.assertEqual(driver.pci_stats,
jsonutils.loads(self.tracker.compute_node['pci_stats']))
def _driver(self):
return FakeVirtDriver(pci_support=True)
class TrackerExtraResourcesTestCase(BaseTrackerTestCase):
def setUp(self):
super(TrackerExtraResourcesTestCase, self).setUp()
self.driver = self._driver()
def _driver(self):
return FakeVirtDriver()
def test_set_empty_ext_resources(self):
resources = self.driver.get_available_resource(self.tracker.nodename)
self.assertNotIn('stats', resources)
self.tracker._write_ext_resources(resources)
self.assertIn('stats', resources)
def test_set_extra_resources(self):
def fake_write_resources(resources):
resources['stats']['resA'] = '123'
resources['stats']['resB'] = 12
self.stubs.Set(self.tracker.ext_resources_handler,
'write_resources',
fake_write_resources)
resources = self.driver.get_available_resource(self.tracker.nodename)
self.tracker._write_ext_resources(resources)
expected = {"resA": "123", "resB": 12}
self.assertEqual(sorted(expected),
sorted(resources['stats']))
class InstanceClaimTestCase(BaseTrackerTestCase):
def _instance_topology(self, mem):
mem = mem * 1024
return hardware.VirtNUMAInstanceTopology(
cells=[hardware.VirtNUMATopologyCell(0, set([1]), mem),
hardware.VirtNUMATopologyCell(1, set([3]), mem)])
def _claim_topology(self, mem, cpus=1):
if self.tracker.driver.numa_topology is None:
return None
mem = mem * 1024
return hardware.VirtNUMAHostTopology(
cells=[hardware.VirtNUMATopologyCellUsage(
0, set([1, 2]), 3072, cpu_usage=cpus,
memory_usage=mem),
hardware.VirtNUMATopologyCellUsage(
1, set([3, 4]), 3072, cpu_usage=cpus,
memory_usage=mem)])
@mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid',
return_value=objects.InstancePCIRequests(requests=[]))
def test_update_usage_only_for_tracked(self, mock_get):
flavor = self._fake_flavor_create()
claim_mem = flavor['memory_mb'] + FAKE_VIRT_MEMORY_OVERHEAD
claim_gb = flavor['root_gb'] + flavor['ephemeral_gb']
claim_topology = self._claim_topology(claim_mem / 2)
instance_topology = self._instance_topology(claim_mem / 2)
instance = self._fake_instance(
flavor=flavor, task_state=None,
numa_topology=instance_topology)
self.tracker.update_usage(self.context, instance)
self._assert(0, 'memory_mb_used')
self._assert(0, 'local_gb_used')
self._assert(0, 'current_workload')
self._assert(FAKE_VIRT_NUMA_TOPOLOGY, 'numa_topology')
claim = self.tracker.instance_claim(self.context, instance,
self.limits)
self.assertNotEqual(0, claim.memory_mb)
self._assert(claim_mem, 'memory_mb_used')
self._assert(claim_gb, 'local_gb_used')
self._assert(claim_topology, 'numa_topology')
# now update should actually take effect
instance['task_state'] = task_states.SCHEDULING
self.tracker.update_usage(self.context, instance)
self._assert(claim_mem, 'memory_mb_used')
self._assert(claim_gb, 'local_gb_used')
self._assert(claim_topology, 'numa_topology')
self._assert(1, 'current_workload')
@mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid',
return_value=objects.InstancePCIRequests(requests=[]))
def test_claim_and_audit(self, mock_get):
claim_mem = 3
claim_mem_total = 3 + FAKE_VIRT_MEMORY_OVERHEAD
claim_disk = 2
claim_topology = self._claim_topology(claim_mem_total / 2)
instance_topology = self._instance_topology(claim_mem_total / 2)
instance = self._fake_instance(memory_mb=claim_mem, root_gb=claim_disk,
ephemeral_gb=0, numa_topology=instance_topology)
self.tracker.instance_claim(self.context, instance, self.limits)
self.assertEqual(FAKE_VIRT_MEMORY_MB, self.compute["memory_mb"])
self.assertEqual(claim_mem_total, self.compute["memory_mb_used"])
self.assertEqual(FAKE_VIRT_MEMORY_MB - claim_mem_total,
self.compute["free_ram_mb"])
self.assertEqualNUMAHostTopology(
claim_topology, hardware.VirtNUMAHostTopology.from_json(
self.compute['numa_topology']))
self.assertEqual(FAKE_VIRT_LOCAL_GB, self.compute["local_gb"])
self.assertEqual(claim_disk, self.compute["local_gb_used"])
self.assertEqual(FAKE_VIRT_LOCAL_GB - claim_disk,
self.compute["free_disk_gb"])
# 1st pretend that the compute operation finished and claimed the
# desired resources from the virt layer
driver = self.tracker.driver
driver.memory_mb_used = claim_mem
driver.local_gb_used = claim_disk
self.tracker.update_available_resource(self.context)
# confirm tracker is adding in host_ip
self.assertIsNotNone(self.compute.get('host_ip'))
# confirm that resource usage is derived from instance usages,
# not virt layer:
self.assertEqual(claim_mem_total, self.compute['memory_mb_used'])
self.assertEqual(FAKE_VIRT_MEMORY_MB - claim_mem_total,
self.compute['free_ram_mb'])
self.assertEqualNUMAHostTopology(
claim_topology, hardware.VirtNUMAHostTopology.from_json(
self.compute['numa_topology']))
self.assertEqual(claim_disk, self.compute['local_gb_used'])
self.assertEqual(FAKE_VIRT_LOCAL_GB - claim_disk,
self.compute['free_disk_gb'])
@mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid',
return_value=objects.InstancePCIRequests(requests=[]))
def test_claim_and_abort(self, mock_get):
claim_mem = 3
claim_mem_total = 3 + FAKE_VIRT_MEMORY_OVERHEAD
claim_disk = 2
claim_topology = self._claim_topology(claim_mem_total / 2)
instance_topology = self._instance_topology(claim_mem_total / 2)
instance = self._fake_instance(memory_mb=claim_mem,
root_gb=claim_disk, ephemeral_gb=0,
numa_topology=instance_topology)
claim = self.tracker.instance_claim(self.context, instance,
self.limits)
self.assertIsNotNone(claim)
self.assertEqual(claim_mem_total, self.compute["memory_mb_used"])
self.assertEqual(FAKE_VIRT_MEMORY_MB - claim_mem_total,
self.compute["free_ram_mb"])
self.assertEqualNUMAHostTopology(
claim_topology, hardware.VirtNUMAHostTopology.from_json(
self.compute['numa_topology']))
self.assertEqual(claim_disk, self.compute["local_gb_used"])
self.assertEqual(FAKE_VIRT_LOCAL_GB - claim_disk,
self.compute["free_disk_gb"])
claim.abort()
self.assertEqual(0, self.compute["memory_mb_used"])
self.assertEqual(FAKE_VIRT_MEMORY_MB, self.compute["free_ram_mb"])
self.assertEqualNUMAHostTopology(
FAKE_VIRT_NUMA_TOPOLOGY,
hardware.VirtNUMAHostTopology.from_json(
self.compute['numa_topology']))
self.assertEqual(0, self.compute["local_gb_used"])
self.assertEqual(FAKE_VIRT_LOCAL_GB, self.compute["free_disk_gb"])
@mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid',
return_value=objects.InstancePCIRequests(requests=[]))
def test_instance_claim_with_oversubscription(self, mock_get):
memory_mb = FAKE_VIRT_MEMORY_MB * 2
root_gb = ephemeral_gb = FAKE_VIRT_LOCAL_GB
vcpus = FAKE_VIRT_VCPUS * 2
claim_topology = self._claim_topology(3)
instance_topology = self._instance_topology(3)
limits = {'memory_mb': memory_mb + FAKE_VIRT_MEMORY_OVERHEAD,
'disk_gb': root_gb * 2,
'vcpu': vcpus,
'numa_topology': FAKE_VIRT_NUMA_TOPOLOGY_OVERHEAD.to_json()}
instance = self._fake_instance(memory_mb=memory_mb,
root_gb=root_gb, ephemeral_gb=ephemeral_gb,
numa_topology=instance_topology)
self.tracker.instance_claim(self.context, instance, limits)
self.assertEqual(memory_mb + FAKE_VIRT_MEMORY_OVERHEAD,
self.tracker.compute_node['memory_mb_used'])
self.assertEqualNUMAHostTopology(
claim_topology,
hardware.VirtNUMAHostTopology.from_json(
self.compute['numa_topology']))
self.assertEqual(root_gb * 2,
self.tracker.compute_node['local_gb_used'])
@mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid',
return_value=objects.InstancePCIRequests(requests=[]))
def test_additive_claims(self, mock_get):
self.limits['vcpu'] = 2
claim_topology = self._claim_topology(2, cpus=2)
flavor = self._fake_flavor_create(
memory_mb=1, root_gb=1, ephemeral_gb=0)
instance_topology = self._instance_topology(1)
instance = self._fake_instance(
flavor=flavor, numa_topology=instance_topology)
with self.tracker.instance_claim(self.context, instance, self.limits):
pass
instance = self._fake_instance(
flavor=flavor, numa_topology=instance_topology)
with self.tracker.instance_claim(self.context, instance, self.limits):
pass
self.assertEqual(2 * (flavor['memory_mb'] + FAKE_VIRT_MEMORY_OVERHEAD),
self.tracker.compute_node['memory_mb_used'])
self.assertEqual(2 * (flavor['root_gb'] + flavor['ephemeral_gb']),
self.tracker.compute_node['local_gb_used'])
self.assertEqual(2 * flavor['vcpus'],
self.tracker.compute_node['vcpus_used'])
self.assertEqualNUMAHostTopology(
claim_topology,
hardware.VirtNUMAHostTopology.from_json(
self.compute['numa_topology']))
@mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid',
return_value=objects.InstancePCIRequests(requests=[]))
def test_context_claim_with_exception(self, mock_get):
instance = self._fake_instance(memory_mb=1, root_gb=1, ephemeral_gb=1)
try:
with self.tracker.instance_claim(self.context, instance):
# <insert exciting things that utilize resources>
raise test.TestingException()
except test.TestingException:
pass
self.assertEqual(0, self.tracker.compute_node['memory_mb_used'])
self.assertEqual(0, self.tracker.compute_node['local_gb_used'])
self.assertEqual(0, self.compute['memory_mb_used'])
self.assertEqual(0, self.compute['local_gb_used'])
self.assertEqualNUMAHostTopology(
FAKE_VIRT_NUMA_TOPOLOGY,
hardware.VirtNUMAHostTopology.from_json(
self.compute['numa_topology']))
@mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid',
return_value=objects.InstancePCIRequests(requests=[]))
def test_instance_context_claim(self, mock_get):
flavor = self._fake_flavor_create(
memory_mb=1, root_gb=2, ephemeral_gb=3)
claim_topology = self._claim_topology(1)
instance_topology = self._instance_topology(1)
instance = self._fake_instance(
flavor=flavor, numa_topology=instance_topology)
with self.tracker.instance_claim(self.context, instance):
# <insert exciting things that utilize resources>
self.assertEqual(flavor['memory_mb'] + FAKE_VIRT_MEMORY_OVERHEAD,
self.tracker.compute_node['memory_mb_used'])
self.assertEqual(flavor['root_gb'] + flavor['ephemeral_gb'],
self.tracker.compute_node['local_gb_used'])
self.assertEqual(flavor['memory_mb'] + FAKE_VIRT_MEMORY_OVERHEAD,
self.compute['memory_mb_used'])
self.assertEqualNUMAHostTopology(
claim_topology,
hardware.VirtNUMAHostTopology.from_json(
self.compute['numa_topology']))
self.assertEqual(flavor['root_gb'] + flavor['ephemeral_gb'],
self.compute['local_gb_used'])
# after exiting claim context, build is marked as finished. usage
# totals should be same:
self.tracker.update_available_resource(self.context)
self.assertEqual(flavor['memory_mb'] + FAKE_VIRT_MEMORY_OVERHEAD,
self.tracker.compute_node['memory_mb_used'])
self.assertEqual(flavor['root_gb'] + flavor['ephemeral_gb'],
self.tracker.compute_node['local_gb_used'])
self.assertEqual(flavor['memory_mb'] + FAKE_VIRT_MEMORY_OVERHEAD,
self.compute['memory_mb_used'])
self.assertEqualNUMAHostTopology(
claim_topology,
hardware.VirtNUMAHostTopology.from_json(
self.compute['numa_topology']))
self.assertEqual(flavor['root_gb'] + flavor['ephemeral_gb'],
self.compute['local_gb_used'])
@mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid',
return_value=objects.InstancePCIRequests(requests=[]))
def test_update_load_stats_for_instance(self, mock_get):
instance = self._fake_instance(task_state=task_states.SCHEDULING)
with self.tracker.instance_claim(self.context, instance):
pass
self.assertEqual(1, self.tracker.compute_node['current_workload'])
instance['vm_state'] = vm_states.ACTIVE
instance['task_state'] = None
instance['host'] = 'fakehost'
self.tracker.update_usage(self.context, instance)
self.assertEqual(0, self.tracker.compute_node['current_workload'])
@mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid',
return_value=objects.InstancePCIRequests(requests=[]))
def test_cpu_stats(self, mock_get):
limits = {'disk_gb': 100, 'memory_mb': 100}
self.assertEqual(0, self.tracker.compute_node['vcpus_used'])
vcpus = 1
instance = self._fake_instance(vcpus=vcpus)
# should not do anything until a claim is made:
self.tracker.update_usage(self.context, instance)
self.assertEqual(0, self.tracker.compute_node['vcpus_used'])
with self.tracker.instance_claim(self.context, instance, limits):
pass
self.assertEqual(vcpus, self.tracker.compute_node['vcpus_used'])
# instance state can change without modifying vcpus in use:
instance['task_state'] = task_states.SCHEDULING
self.tracker.update_usage(self.context, instance)
self.assertEqual(vcpus, self.tracker.compute_node['vcpus_used'])
add_vcpus = 10
vcpus += add_vcpus
instance = self._fake_instance(vcpus=add_vcpus)
with self.tracker.instance_claim(self.context, instance, limits):
pass
self.assertEqual(vcpus, self.tracker.compute_node['vcpus_used'])
instance['vm_state'] = vm_states.DELETED
self.tracker.update_usage(self.context, instance)
vcpus -= add_vcpus
self.assertEqual(vcpus, self.tracker.compute_node['vcpus_used'])
def test_skip_deleted_instances(self):
# ensure that the audit process skips instances that have vm_state
# DELETED, but the DB record is not yet deleted.
self._fake_instance(vm_state=vm_states.DELETED, host=self.host)
self.tracker.update_available_resource(self.context)
self.assertEqual(0, self.tracker.compute_node['memory_mb_used'])
self.assertEqual(0, self.tracker.compute_node['local_gb_used'])
class ResizeClaimTestCase(BaseTrackerTestCase):
def setUp(self):
super(ResizeClaimTestCase, self).setUp()
def _fake_migration_create(mig_self, ctxt):
self._migrations[mig_self.instance_uuid] = mig_self
mig_self.obj_reset_changes()
self.stubs.Set(objects.Migration, 'create',
_fake_migration_create)
self.instance = self._fake_instance()
self.instance_type = self._fake_flavor_create()
def _fake_migration_create(self, context, values=None):
instance_uuid = str(uuid.uuid1())
mig_dict = test_migration.fake_db_migration()
mig_dict.update({
'id': 1,
'source_compute': 'host1',
'source_node': 'fakenode',
'dest_compute': 'host2',
'dest_node': 'fakenode',
'dest_host': '127.0.0.1',
'old_instance_type_id': 1,
'new_instance_type_id': 2,
'instance_uuid': instance_uuid,
'status': 'pre-migrating',
'updated_at': timeutils.utcnow()
})
if values:
mig_dict.update(values)
migration = objects.Migration()
migration.update(mig_dict)
# This hits the stub in setUp()
migration.create('fake')
@mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid',
return_value=objects.InstancePCIRequests(requests=[]))
def test_claim(self, mock_get):
self.tracker.resize_claim(self.context, self.instance,
self.instance_type, self.limits)
self._assert(FAKE_VIRT_MEMORY_WITH_OVERHEAD, 'memory_mb_used')
self._assert(FAKE_VIRT_LOCAL_GB, 'local_gb_used')
self._assert(FAKE_VIRT_VCPUS, 'vcpus_used')
self.assertEqual(1, len(self.tracker.tracked_migrations))
@mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid',
return_value=objects.InstancePCIRequests(requests=[]))
def test_abort(self, mock_get):
try:
with self.tracker.resize_claim(self.context, self.instance,
self.instance_type, self.limits):
raise test.TestingException("abort")
except test.TestingException:
pass
self._assert(0, 'memory_mb_used')
self._assert(0, 'local_gb_used')
self._assert(0, 'vcpus_used')
self.assertEqual(0, len(self.tracker.tracked_migrations))
@mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid',
return_value=objects.InstancePCIRequests(requests=[]))
def test_additive_claims(self, mock_get):
limits = self._limits(
2 * FAKE_VIRT_MEMORY_WITH_OVERHEAD,
2 * FAKE_VIRT_LOCAL_GB,
2 * FAKE_VIRT_VCPUS)
self.tracker.resize_claim(self.context, self.instance,
self.instance_type, limits)
instance2 = self._fake_instance()
self.tracker.resize_claim(self.context, instance2, self.instance_type,
limits)
self._assert(2 * FAKE_VIRT_MEMORY_WITH_OVERHEAD, 'memory_mb_used')
self._assert(2 * FAKE_VIRT_LOCAL_GB, 'local_gb_used')
self._assert(2 * FAKE_VIRT_VCPUS, 'vcpus_used')
@mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid',
return_value=objects.InstancePCIRequests(requests=[]))
def test_claim_and_audit(self, mock_get):
self.tracker.resize_claim(self.context, self.instance,
self.instance_type, self.limits)
self.tracker.update_available_resource(self.context)
self._assert(FAKE_VIRT_MEMORY_WITH_OVERHEAD, 'memory_mb_used')
self._assert(FAKE_VIRT_LOCAL_GB, 'local_gb_used')
self._assert(FAKE_VIRT_VCPUS, 'vcpus_used')
@mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid',
return_value=objects.InstancePCIRequests(requests=[]))
def test_same_host(self, mock_get):
self.limits['vcpu'] = 3
src_dict = {
'memory_mb': 1, 'root_gb': 1, 'ephemeral_gb': 0, 'vcpus': 1}
dest_dict = dict((k, v + 1) for (k, v) in src_dict.iteritems())
src_type = self._fake_flavor_create(
id=10, name="srcflavor", **src_dict)
dest_type = self._fake_flavor_create(
id=11, name="destflavor", **dest_dict)
# make an instance of src_type:
instance = self._fake_instance(flavor=src_type)
instance['system_metadata'] = self._fake_instance_system_metadata(
dest_type)
self.tracker.instance_claim(self.context, instance, self.limits)
# resize to dest_type:
claim = self.tracker.resize_claim(self.context, instance,
dest_type, self.limits)
self._assert(src_dict['memory_mb'] + dest_dict['memory_mb']
+ 2 * FAKE_VIRT_MEMORY_OVERHEAD, 'memory_mb_used')
self._assert(src_dict['root_gb'] + src_dict['ephemeral_gb']
+ dest_dict['root_gb'] + dest_dict['ephemeral_gb'],
'local_gb_used')
self._assert(src_dict['vcpus'] + dest_dict['vcpus'], 'vcpus_used')
self.tracker.update_available_resource(self.context)
claim.abort()
# only the original instance should remain, not the migration:
self._assert(src_dict['memory_mb'] + FAKE_VIRT_MEMORY_OVERHEAD,
'memory_mb_used')
self._assert(src_dict['root_gb'] + src_dict['ephemeral_gb'],
'local_gb_used')
self._assert(src_dict['vcpus'], 'vcpus_used')
self.assertEqual(1, len(self.tracker.tracked_instances))
self.assertEqual(0, len(self.tracker.tracked_migrations))
@mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid',
return_value=objects.InstancePCIRequests(requests=[]))
def test_revert(self, mock_get):
self.tracker.resize_claim(self.context, self.instance,
self.instance_type, {}, self.limits)
self.tracker.drop_resize_claim(self.context, self.instance)
self.assertEqual(0, len(self.tracker.tracked_instances))
self.assertEqual(0, len(self.tracker.tracked_migrations))
self._assert(0, 'memory_mb_used')
self._assert(0, 'local_gb_used')
self._assert(0, 'vcpus_used')
@mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid',
return_value=objects.InstancePCIRequests(requests=[]))
def test_revert_reserve_source(self, mock_get):
# if a revert has started at the API and audit runs on
# the source compute before the instance flips back to source,
# resources should still be held at the source based on the
# migration:
dest = "desthost"
dest_tracker = self._tracker(host=dest)
dest_tracker.update_available_resource(self.context)
self.instance = self._fake_instance(memory_mb=FAKE_VIRT_MEMORY_MB,
root_gb=FAKE_VIRT_LOCAL_GB, ephemeral_gb=0,
vcpus=FAKE_VIRT_VCPUS, instance_type_id=1)
values = {'source_compute': self.host, 'dest_compute': dest,
'old_instance_type_id': 1, 'new_instance_type_id': 1,
'status': 'post-migrating',
'instance_uuid': self.instance['uuid']}
self._fake_migration_create(self.context, values)
# attach an instance to the destination host tracker:
dest_tracker.instance_claim(self.context, self.instance)
self._assert(FAKE_VIRT_MEMORY_WITH_OVERHEAD,
'memory_mb_used', tracker=dest_tracker)
self._assert(FAKE_VIRT_LOCAL_GB, 'local_gb_used',
tracker=dest_tracker)
self._assert(FAKE_VIRT_VCPUS, 'vcpus_used',
tracker=dest_tracker)
# audit and recheck to confirm migration doesn't get double counted
# on dest:
dest_tracker.update_available_resource(self.context)
self._assert(FAKE_VIRT_MEMORY_WITH_OVERHEAD,
'memory_mb_used', tracker=dest_tracker)
self._assert(FAKE_VIRT_LOCAL_GB, 'local_gb_used',
tracker=dest_tracker)
self._assert(FAKE_VIRT_VCPUS, 'vcpus_used',
tracker=dest_tracker)
# apply the migration to the source host tracker:
self.tracker.update_available_resource(self.context)
self._assert(FAKE_VIRT_MEMORY_WITH_OVERHEAD, 'memory_mb_used')
self._assert(FAKE_VIRT_LOCAL_GB, 'local_gb_used')
self._assert(FAKE_VIRT_VCPUS, 'vcpus_used')
# flag the instance and migration as reverting and re-audit:
self.instance['vm_state'] = vm_states.RESIZED
self.instance['task_state'] = task_states.RESIZE_REVERTING
self.tracker.update_available_resource(self.context)
self._assert(FAKE_VIRT_MEMORY_MB + 1, 'memory_mb_used')
self._assert(FAKE_VIRT_LOCAL_GB, 'local_gb_used')
self._assert(FAKE_VIRT_VCPUS, 'vcpus_used')
def test_resize_filter(self):
instance = self._fake_instance(vm_state=vm_states.ACTIVE,
task_state=task_states.SUSPENDING)
self.assertFalse(self.tracker._instance_in_resize_state(instance))
instance = self._fake_instance(vm_state=vm_states.RESIZED,
task_state=task_states.SUSPENDING)
self.assertTrue(self.tracker._instance_in_resize_state(instance))
states = [task_states.RESIZE_PREP, task_states.RESIZE_MIGRATING,
task_states.RESIZE_MIGRATED, task_states.RESIZE_FINISH]
for vm_state in [vm_states.ACTIVE, vm_states.STOPPED]:
for task_state in states:
instance = self._fake_instance(vm_state=vm_state,
task_state=task_state)
result = self.tracker._instance_in_resize_state(instance)
self.assertTrue(result)
def test_dupe_filter(self):
instance = self._fake_instance(host=self.host)
values = {'source_compute': self.host, 'dest_compute': self.host,
'instance_uuid': instance['uuid'], 'new_instance_type_id': 2}
self._fake_flavor_create(id=2)
self._fake_migration_create(self.context, values)
self._fake_migration_create(self.context, values)
self.tracker.update_available_resource(self.context)
self.assertEqual(1, len(self.tracker.tracked_migrations))
@mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid',
return_value=objects.InstancePCIRequests(requests=[]))
def test_set_instance_host_and_node(self, mock_get):
instance = self._fake_instance()
self.assertIsNone(instance['host'])
self.assertIsNone(instance['launched_on'])
self.assertIsNone(instance['node'])
claim = self.tracker.instance_claim(self.context, instance)
self.assertNotEqual(0, claim.memory_mb)
self.assertEqual('fakehost', instance['host'])
self.assertEqual('fakehost', instance['launched_on'])
self.assertEqual('fakenode', instance['node'])
class NoInstanceTypesInSysMetadata(ResizeClaimTestCase):
"""Make sure we handle the case where the following are true:
#) Compute node C gets upgraded to code that looks for instance types in
system metadata. AND
#) C already has instances in the process of migrating that do not have
stashed instance types.
bug 1164110
"""
def setUp(self):
super(NoInstanceTypesInSysMetadata, self).setUp()
self.instance = self._fake_instance(stash=False)
def test_get_instance_type_stash_false(self):
with (mock.patch.object(objects.Flavor, 'get_by_id',
return_value=self.instance_type)):
flavor = self.tracker._get_instance_type(self.context,
self.instance, "new_")
self.assertEqual(self.instance_type, flavor)
class OrphanTestCase(BaseTrackerTestCase):
def _driver(self):
class OrphanVirtDriver(FakeVirtDriver):
def get_per_instance_usage(self):
return {
'1-2-3-4-5': {'memory_mb': FAKE_VIRT_MEMORY_MB,
'uuid': '1-2-3-4-5'},
'2-3-4-5-6': {'memory_mb': FAKE_VIRT_MEMORY_MB,
'uuid': '2-3-4-5-6'},
}
return OrphanVirtDriver()
def test_usage(self):
self.assertEqual(2 * FAKE_VIRT_MEMORY_WITH_OVERHEAD,
self.tracker.compute_node['memory_mb_used'])
def test_find(self):
# create one legit instance and verify the 2 orphans remain
self._fake_instance()
orphans = self.tracker._find_orphaned_instances()
self.assertEqual(2, len(orphans))
class ComputeMonitorTestCase(BaseTestCase):
def setUp(self):
super(ComputeMonitorTestCase, self).setUp()
fake_monitors = [
'nova.tests.compute.monitors.test_monitors.FakeMonitorClass1',
'nova.tests.compute.monitors.test_monitors.FakeMonitorClass2']
self.flags(compute_available_monitors=fake_monitors)
self.tracker = self._tracker()
self.node_name = 'nodename'
self.user_id = 'fake'
self.project_id = 'fake'
self.info = {}
self.context = context.RequestContext(self.user_id,
self.project_id)
def test_get_host_metrics_none(self):
self.flags(compute_monitors=['FakeMontorClass1', 'FakeMonitorClass4'])
self.tracker.monitors = []
metrics = self.tracker._get_host_metrics(self.context,
self.node_name)
self.assertEqual(len(metrics), 0)
def test_get_host_metrics_one_failed(self):
self.flags(compute_monitors=['FakeMonitorClass1', 'FakeMonitorClass4'])
class1 = test_monitors.FakeMonitorClass1(self.tracker)
class4 = test_monitors.FakeMonitorClass4(self.tracker)
self.tracker.monitors = [class1, class4]
metrics = self.tracker._get_host_metrics(self.context,
self.node_name)
self.assertTrue(len(metrics) > 0)
@mock.patch.object(resource_tracker.LOG, 'warn')
def test_get_host_metrics_exception(self, mock_LOG_warn):
self.flags(compute_monitors=['FakeMontorClass1'])
class1 = test_monitors.FakeMonitorClass1(self.tracker)
self.tracker.monitors = [class1]
with mock.patch.object(class1, 'get_metrics',
side_effect=test.TestingException()):
metrics = self.tracker._get_host_metrics(self.context,
self.node_name)
mock_LOG_warn.assert_called_once_with(
u'Cannot get the metrics from %s.', class1)
self.assertEqual(0, len(metrics))
def test_get_host_metrics(self):
self.flags(compute_monitors=['FakeMonitorClass1', 'FakeMonitorClass2'])
class1 = test_monitors.FakeMonitorClass1(self.tracker)
class2 = test_monitors.FakeMonitorClass2(self.tracker)
self.tracker.monitors = [class1, class2]
mock_notifier = mock.Mock()
with mock.patch.object(rpc, 'get_notifier',
return_value=mock_notifier) as mock_get:
metrics = self.tracker._get_host_metrics(self.context,
self.node_name)
mock_get.assert_called_once_with(service='compute',
host=self.node_name)
expected_metrics = [{
'timestamp': 1232,
'name': 'key1',
'value': 2600,
'source': 'libvirt'
}, {
'name': 'key2',
'source': 'libvirt',
'timestamp': 123,
'value': 1600
}]
payload = {
'metrics': expected_metrics,
'host': self.tracker.host,
'host_ip': CONF.my_ip,
'nodename': self.node_name
}
mock_notifier.info.assert_called_once_with(
self.context, 'compute.metrics.update', payload)
self.assertEqual(metrics, expected_metrics)
class TrackerPeriodicTestCase(BaseTrackerTestCase):
def test_periodic_status_update(self):
# verify update called on instantiation
self.assertEqual(1, self.update_call_count)
# verify update not called if no change to resources
self.tracker.update_available_resource(self.context)
self.assertEqual(1, self.update_call_count)
# verify update is called when resources change
driver = self.tracker.driver
driver.memory_mb += 1
self.tracker.update_available_resource(self.context)
self.assertEqual(2, self.update_call_count)
def test_update_available_resource_calls_locked_inner(self):
@mock.patch.object(self.tracker, 'driver')
@mock.patch.object(self.tracker,
'_update_available_resource')
@mock.patch.object(self.tracker, '_verify_resources')
@mock.patch.object(self.tracker, '_report_hypervisor_resource_view')
def _test(mock_rhrv, mock_vr, mock_uar, mock_driver):
resources = {'there is someone in my head': 'but it\'s not me'}
mock_driver.get_available_resource.return_value = resources
self.tracker.update_available_resource(self.context)
mock_uar.assert_called_once_with(self.context, resources)
_test()
class StatsDictTestCase(BaseTrackerTestCase):
"""Test stats handling for a virt driver that provides
stats as a dictionary.
"""
def _driver(self):
return FakeVirtDriver(stats=FAKE_VIRT_STATS)
def _get_stats(self):
return jsonutils.loads(self.tracker.compute_node['stats'])
def test_virt_stats(self):
# start with virt driver stats
stats = self._get_stats()
self.assertEqual(FAKE_VIRT_STATS, stats)
# adding an instance should keep virt driver stats
self._fake_instance(vm_state=vm_states.ACTIVE, host=self.host)
self.tracker.update_available_resource(self.context)
stats = self._get_stats()
expected_stats = {}
expected_stats.update(FAKE_VIRT_STATS)
expected_stats.update(self.tracker.stats)
self.assertEqual(expected_stats, stats)
# removing the instances should keep only virt driver stats
self._instances = {}
self.tracker.update_available_resource(self.context)
stats = self._get_stats()
self.assertEqual(FAKE_VIRT_STATS, stats)
class StatsJsonTestCase(BaseTrackerTestCase):
"""Test stats handling for a virt driver that provides
stats as a json string.
"""
def _driver(self):
return FakeVirtDriver(stats=FAKE_VIRT_STATS_JSON)
def _get_stats(self):
return jsonutils.loads(self.tracker.compute_node['stats'])
def test_virt_stats(self):
# start with virt driver stats
stats = self._get_stats()
self.assertEqual(FAKE_VIRT_STATS, stats)
# adding an instance should keep virt driver stats
# and add rt stats
self._fake_instance(vm_state=vm_states.ACTIVE, host=self.host)
self.tracker.update_available_resource(self.context)
stats = self._get_stats()
expected_stats = {}
expected_stats.update(FAKE_VIRT_STATS)
expected_stats.update(self.tracker.stats)
self.assertEqual(expected_stats, stats)
# removing the instances should keep only virt driver stats
self._instances = {}
self.tracker.update_available_resource(self.context)
stats = self._get_stats()
self.assertEqual(FAKE_VIRT_STATS, stats)
class StatsInvalidJsonTestCase(BaseTrackerTestCase):
"""Test stats handling for a virt driver that provides
an invalid type for stats.
"""
def _driver(self):
return FakeVirtDriver(stats='this is not json')
def _init_tracker(self):
# do not do initial update in setup
pass
def test_virt_stats(self):
# should throw exception for string that does not parse as json
self.assertRaises(ValueError,
self.tracker.update_available_resource,
context=self.context)
class StatsInvalidTypeTestCase(BaseTrackerTestCase):
"""Test stats handling for a virt driver that provides
an invalid type for stats.
"""
def _driver(self):
return FakeVirtDriver(stats=10)
def _init_tracker(self):
# do not do initial update in setup
pass
def test_virt_stats(self):
# should throw exception for incorrect stats value type
self.assertRaises(ValueError,
self.tracker.update_available_resource,
context=self.context)
| [
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] | |
486e14339acaf81e3a59ed9a6ba548e5de49105b | 7944d2fd5d885a034347a986f3114f0b81166447 | /facebookads/adobjects/helpers/adaccountusermixin.py | da4d36229bfcaa877d38eeadcde3eb4fe09c6387 | [] | no_license | it-devros/django-facebook-api | 4fd94d1bbbff664f0314e046f50d91ee959f5664 | ee2d91af49bc2be116bd10bd079c321bbf6af721 | refs/heads/master | 2021-06-23T06:29:07.664905 | 2019-06-25T07:47:50 | 2019-06-25T07:47:50 | 191,458,626 | 2 | 0 | null | 2021-06-10T21:33:08 | 2019-06-11T22:22:47 | Python | UTF-8 | Python | false | false | 2,325 | py | # Copyright 2014 Facebook, Inc.
# You are hereby granted a non-exclusive, worldwide, royalty-free license to
# use, copy, modify, and distribute this software in source code or binary
# form for use in connection with the web services and APIs provided by
# Facebook.
# As with any software that integrates with the Facebook platform, your use
# of this software is subject to the Facebook Developer Principles and
# Policies [http://developers.facebook.com/policy/]. This copyright notice
# shall be included in all copies or substantial portions of the software.
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
from facebookads.adobjects.adaccount import AdAccount
from facebookads.adobjects.page import Page
from facebookads.adobjects.objectparser import ObjectParser
from facebookads.api import FacebookRequest
from facebookads.typechecker import TypeChecker
class AdAccountUserMixin:
class Field(object):
id = 'id'
name = 'name'
permissions = 'permissions'
role = 'role'
class Permission(object):
account_admin = 1
admanager_read = 2
admanager_write = 3
billing_read = 4
billing_write = 5
reports = 7
class Role(object):
administrator = 1001
analyst = 1003
manager = 1002
# @deprecated get_endpoint function is deprecated
@classmethod
def get_endpoint(cls):
return 'users'
def get_ad_accounts(self, fields=None, params=None):
"""Returns iterator over AdAccounts associated with this user."""
return self.iterate_edge(AdAccount, fields, params, endpoint='adaccounts')
def get_ad_account(self, fields=None, params=None):
"""Returns first AdAccount associated with this user."""
return self.edge_object(AdAccount, fields, params)
def get_pages(self, fields=None, params=None):
"""Returns iterator over Pages's associated with this user."""
return self.iterate_edge(Page, fields, params)
| [
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] | |
139924ddf0df882a3fb73abd3feb2199cf4b54c5 | 11a246743073e9d2cb550f9144f59b95afebf195 | /codeforces/873/a.py | b327a471eb4b3b25939bf9172ff27110c6a1f419 | [] | no_license | ankitpriyarup/online-judge | b5b779c26439369cedc05c045af5511cbc3c980f | 8a00ec141142c129bfa13a68dbf704091eae9588 | refs/heads/master | 2020-09-05T02:46:56.377213 | 2019-10-27T20:12:25 | 2019-10-27T20:12:25 | 219,959,932 | 0 | 1 | null | 2019-11-06T09:30:58 | 2019-11-06T09:30:57 | null | UTF-8 | Python | false | false | 163 | py | def main():
n, k, x = map(int, input().split())
a = list(map(int, input().split()))
end = n - k
ans = sum(a[:end]) + x * k
print(ans)
main()
| [
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] | |
ff088fd7c2c3c7a9326af48a17e85f769f1f608a | 53f9dd194792672424e423e691dbbba0e4af7474 | /kolibri/core/discovery/utils/network/urls.py | 27e881fb6f9bec6666ce64a6591932f57fcb1773 | [
"MIT"
] | permissive | DXCanas/kolibri | 8e26668023c8c60f852cc9b7bfc57caa9fd814e8 | 4571fc5e5482a2dc9cd8f93dd45222a69d8a68b4 | refs/heads/develop | 2021-12-05T22:18:15.925788 | 2018-09-21T19:30:43 | 2018-09-21T19:30:43 | 54,430,150 | 1 | 0 | MIT | 2019-11-28T00:35:17 | 2016-03-21T23:25:49 | Python | UTF-8 | Python | false | false | 5,913 | py | import re
from six.moves.urllib.parse import urlparse
from . import errors
HTTP_PORTS = (8080, 80, 8008)
HTTPS_PORTS = (443,)
# from https://stackoverflow.com/a/33214423
def is_valid_hostname(hostname):
if hostname[-1] == ".":
# strip exactly one dot from the right, if present
hostname = hostname[:-1]
if len(hostname) > 253:
return False
labels = hostname.split(".")
# the TLD must be not all-numeric
if re.match(r"[0-9]+$", labels[-1]):
return False
allowed = re.compile(r"(?!-)[a-z0-9-]{1,63}(?<!-)$", re.IGNORECASE)
return all(allowed.match(label) for label in labels)
# from https://stackoverflow.com/a/319293
def is_valid_ipv4_address(ip):
"""Validates IPv4 addresses.
"""
pattern = re.compile(r"""
^
(?:
# Dotted variants:
(?:
# Decimal 1-255 (no leading 0's)
[3-9]\d?|2(?:5[0-5]|[0-4]?\d)?|1\d{0,2}
|
0x0*[0-9a-f]{1,2} # Hexadecimal 0x0 - 0xFF (possible leading 0's)
|
0+[1-3]?[0-7]{0,2} # Octal 0 - 0377 (possible leading 0's)
)
(?: # Repeat 3 times, separated by a dot
\.
(?:
[3-9]\d?|2(?:5[0-5]|[0-4]?\d)?|1\d{0,2}
|
0x0*[0-9a-f]{1,2}
|
0+[1-3]?[0-7]{0,2}
)
){3}
|
0x0*[0-9a-f]{1,8} # Hexadecimal notation, 0x0 - 0xffffffff
|
0+[0-3]?[0-7]{0,10} # Octal notation, 0 - 037777777777
|
# Decimal notation, 1-4294967295:
429496729[0-5]|42949672[0-8]\d|4294967[01]\d\d|429496[0-6]\d{3}|
42949[0-5]\d{4}|4294[0-8]\d{5}|429[0-3]\d{6}|42[0-8]\d{7}|
4[01]\d{8}|[1-3]\d{0,9}|[4-9]\d{0,8}
)
$
""", re.VERBOSE | re.IGNORECASE)
return pattern.match(ip) is not None
# from https://stackoverflow.com/a/319293
def is_valid_ipv6_address(ip):
"""Validates IPv6 addresses.
"""
pattern = re.compile(r"""
^
\s* # Leading whitespace
(?!.*::.*::) # Only a single wildcard allowed
(?:(?!:)|:(?=:)) # Colon iff it would be part of a wildcard
(?: # Repeat 6 times:
[0-9a-f]{0,4} # A group of at most four hexadecimal digits
(?:(?<=::)|(?<!::):) # Colon unless preceeded by wildcard
){6} #
(?: # Either
[0-9a-f]{0,4} # Another group
(?:(?<=::)|(?<!::):) # Colon unless preceeded by wildcard
[0-9a-f]{0,4} # Last group
(?: (?<=::) # Colon iff preceeded by exacly one colon
| (?<!:) #
| (?<=:) (?<!::) : #
) # OR
| # A v4 address with NO leading zeros
(?:25[0-4]|2[0-4]\d|1\d\d|[1-9]?\d)
(?: \.
(?:25[0-4]|2[0-4]\d|1\d\d|[1-9]?\d)
){3}
)
\s* # Trailing whitespace
$
""", re.VERBOSE | re.IGNORECASE | re.DOTALL)
return pattern.match(ip) is not None
def parse_address_into_components(address):
# if it looks to be an IPv6 address, make sure it is surrounded by square brackets
if address.count(":") > 2 and re.match("^[a-f0-9\:]+$", address):
address = "[{}]".format(address)
# ensure that there's a scheme on the address
if "://" not in address:
address = "http://" + address
# parse out the URL into its components
parsed = urlparse(address)
p_scheme = parsed.scheme
p_hostname = parsed.hostname
p_path = parsed.path.rstrip("/") + "/"
try:
p_port = parsed.port
if not p_port:
# since urlparse silently excludes some types of bad ports, check and throw ourselves
split_by_colon = parsed.netloc.split("]")[-1].rsplit(":")
if len(split_by_colon) > 1:
extracted_port = split_by_colon[-1]
raise errors.InvalidPort(extracted_port)
except ValueError:
raise errors.InvalidPort(parsed.netloc.rsplit(":")[-1])
# perform basic validation on the URL components
if p_scheme not in ("http", "https"):
raise errors.InvalidScheme(p_scheme)
if is_valid_ipv6_address(p_hostname):
p_hostname = "[{}]".format(p_hostname)
elif not (is_valid_hostname(p_hostname) or is_valid_ipv4_address(p_hostname)):
raise errors.InvalidHostname(p_hostname)
return p_scheme, p_hostname, p_port, p_path
def get_normalized_url_variations(address):
"""Takes a URL, hostname, or IP, validates it, and turns it into a list of possible URLs, varying the scheme, port, and path."""
p_scheme, p_hostname, p_port, p_path = parse_address_into_components(address)
# build up a list of possible URLs, in priority order
urls = []
paths = (p_path,) if p_path == "/" else (p_path, "/")
for path in paths:
schemes = ("http", "https") if p_scheme == "http" else ("https", "http")
for scheme in schemes:
ports = HTTP_PORTS if scheme == "http" else HTTPS_PORTS
if p_port:
ports = (p_port,) + ports
for port in ports:
if (scheme == "http" and port == 80) or (scheme == "https" and port == 443):
port_component = ""
else:
port_component = ":{port}".format(port=port)
urls.append("{scheme}://{hostname}{port}{path}".format(
scheme=scheme,
hostname=p_hostname,
port=port_component,
path=path
))
return urls
| [
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] | |
34bb6445f00d9621cf5292b1cce7d15810c84517 | e5e2b7da41fda915cb849f031a0223e2ac354066 | /sdk/python/pulumi_azure_native/network/v20200401/subnet.py | 0ecff6d9550f22f697d112fea16ae321ebc0b80a | [
"BSD-3-Clause",
"Apache-2.0"
] | permissive | johnbirdau/pulumi-azure-native | b7d3bdddeb7c4b319a7e43a892ddc6e25e3bfb25 | d676cc331caa0694d8be99cb90b93fa231e3c705 | refs/heads/master | 2023-05-06T06:48:05.040357 | 2021-06-01T20:42:38 | 2021-06-01T20:42:38 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 33,929 | py | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
from . import outputs
from ._enums import *
from ._inputs import *
__all__ = ['SubnetArgs', 'Subnet']
@pulumi.input_type
class SubnetArgs:
def __init__(__self__, *,
resource_group_name: pulumi.Input[str],
virtual_network_name: pulumi.Input[str],
address_prefix: Optional[pulumi.Input[str]] = None,
address_prefixes: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
delegations: Optional[pulumi.Input[Sequence[pulumi.Input['DelegationArgs']]]] = None,
id: Optional[pulumi.Input[str]] = None,
ip_allocations: Optional[pulumi.Input[Sequence[pulumi.Input['SubResourceArgs']]]] = None,
name: Optional[pulumi.Input[str]] = None,
nat_gateway: Optional[pulumi.Input['SubResourceArgs']] = None,
network_security_group: Optional[pulumi.Input['NetworkSecurityGroupArgs']] = None,
private_endpoint_network_policies: Optional[pulumi.Input[str]] = None,
private_link_service_network_policies: Optional[pulumi.Input[str]] = None,
route_table: Optional[pulumi.Input['RouteTableArgs']] = None,
service_endpoint_policies: Optional[pulumi.Input[Sequence[pulumi.Input['ServiceEndpointPolicyArgs']]]] = None,
service_endpoints: Optional[pulumi.Input[Sequence[pulumi.Input['ServiceEndpointPropertiesFormatArgs']]]] = None,
subnet_name: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a Subnet resource.
:param pulumi.Input[str] resource_group_name: The name of the resource group.
:param pulumi.Input[str] virtual_network_name: The name of the virtual network.
:param pulumi.Input[str] address_prefix: The address prefix for the subnet.
:param pulumi.Input[Sequence[pulumi.Input[str]]] address_prefixes: List of address prefixes for the subnet.
:param pulumi.Input[Sequence[pulumi.Input['DelegationArgs']]] delegations: An array of references to the delegations on the subnet.
:param pulumi.Input[str] id: Resource ID.
:param pulumi.Input[Sequence[pulumi.Input['SubResourceArgs']]] ip_allocations: Array of IpAllocation which reference this subnet.
:param pulumi.Input[str] name: The name of the resource that is unique within a resource group. This name can be used to access the resource.
:param pulumi.Input['SubResourceArgs'] nat_gateway: Nat gateway associated with this subnet.
:param pulumi.Input['NetworkSecurityGroupArgs'] network_security_group: The reference to the NetworkSecurityGroup resource.
:param pulumi.Input[str] private_endpoint_network_policies: Enable or Disable apply network policies on private end point in the subnet.
:param pulumi.Input[str] private_link_service_network_policies: Enable or Disable apply network policies on private link service in the subnet.
:param pulumi.Input['RouteTableArgs'] route_table: The reference to the RouteTable resource.
:param pulumi.Input[Sequence[pulumi.Input['ServiceEndpointPolicyArgs']]] service_endpoint_policies: An array of service endpoint policies.
:param pulumi.Input[Sequence[pulumi.Input['ServiceEndpointPropertiesFormatArgs']]] service_endpoints: An array of service endpoints.
:param pulumi.Input[str] subnet_name: The name of the subnet.
"""
pulumi.set(__self__, "resource_group_name", resource_group_name)
pulumi.set(__self__, "virtual_network_name", virtual_network_name)
if address_prefix is not None:
pulumi.set(__self__, "address_prefix", address_prefix)
if address_prefixes is not None:
pulumi.set(__self__, "address_prefixes", address_prefixes)
if delegations is not None:
pulumi.set(__self__, "delegations", delegations)
if id is not None:
pulumi.set(__self__, "id", id)
if ip_allocations is not None:
pulumi.set(__self__, "ip_allocations", ip_allocations)
if name is not None:
pulumi.set(__self__, "name", name)
if nat_gateway is not None:
pulumi.set(__self__, "nat_gateway", nat_gateway)
if network_security_group is not None:
pulumi.set(__self__, "network_security_group", network_security_group)
if private_endpoint_network_policies is not None:
pulumi.set(__self__, "private_endpoint_network_policies", private_endpoint_network_policies)
if private_link_service_network_policies is not None:
pulumi.set(__self__, "private_link_service_network_policies", private_link_service_network_policies)
if route_table is not None:
pulumi.set(__self__, "route_table", route_table)
if service_endpoint_policies is not None:
pulumi.set(__self__, "service_endpoint_policies", service_endpoint_policies)
if service_endpoints is not None:
pulumi.set(__self__, "service_endpoints", service_endpoints)
if subnet_name is not None:
pulumi.set(__self__, "subnet_name", subnet_name)
@property
@pulumi.getter(name="resourceGroupName")
def resource_group_name(self) -> pulumi.Input[str]:
"""
The name of the resource group.
"""
return pulumi.get(self, "resource_group_name")
@resource_group_name.setter
def resource_group_name(self, value: pulumi.Input[str]):
pulumi.set(self, "resource_group_name", value)
@property
@pulumi.getter(name="virtualNetworkName")
def virtual_network_name(self) -> pulumi.Input[str]:
"""
The name of the virtual network.
"""
return pulumi.get(self, "virtual_network_name")
@virtual_network_name.setter
def virtual_network_name(self, value: pulumi.Input[str]):
pulumi.set(self, "virtual_network_name", value)
@property
@pulumi.getter(name="addressPrefix")
def address_prefix(self) -> Optional[pulumi.Input[str]]:
"""
The address prefix for the subnet.
"""
return pulumi.get(self, "address_prefix")
@address_prefix.setter
def address_prefix(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "address_prefix", value)
@property
@pulumi.getter(name="addressPrefixes")
def address_prefixes(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
List of address prefixes for the subnet.
"""
return pulumi.get(self, "address_prefixes")
@address_prefixes.setter
def address_prefixes(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "address_prefixes", value)
@property
@pulumi.getter
def delegations(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['DelegationArgs']]]]:
"""
An array of references to the delegations on the subnet.
"""
return pulumi.get(self, "delegations")
@delegations.setter
def delegations(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['DelegationArgs']]]]):
pulumi.set(self, "delegations", value)
@property
@pulumi.getter
def id(self) -> Optional[pulumi.Input[str]]:
"""
Resource ID.
"""
return pulumi.get(self, "id")
@id.setter
def id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "id", value)
@property
@pulumi.getter(name="ipAllocations")
def ip_allocations(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['SubResourceArgs']]]]:
"""
Array of IpAllocation which reference this subnet.
"""
return pulumi.get(self, "ip_allocations")
@ip_allocations.setter
def ip_allocations(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['SubResourceArgs']]]]):
pulumi.set(self, "ip_allocations", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the resource that is unique within a resource group. This name can be used to access the resource.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="natGateway")
def nat_gateway(self) -> Optional[pulumi.Input['SubResourceArgs']]:
"""
Nat gateway associated with this subnet.
"""
return pulumi.get(self, "nat_gateway")
@nat_gateway.setter
def nat_gateway(self, value: Optional[pulumi.Input['SubResourceArgs']]):
pulumi.set(self, "nat_gateway", value)
@property
@pulumi.getter(name="networkSecurityGroup")
def network_security_group(self) -> Optional[pulumi.Input['NetworkSecurityGroupArgs']]:
"""
The reference to the NetworkSecurityGroup resource.
"""
return pulumi.get(self, "network_security_group")
@network_security_group.setter
def network_security_group(self, value: Optional[pulumi.Input['NetworkSecurityGroupArgs']]):
pulumi.set(self, "network_security_group", value)
@property
@pulumi.getter(name="privateEndpointNetworkPolicies")
def private_endpoint_network_policies(self) -> Optional[pulumi.Input[str]]:
"""
Enable or Disable apply network policies on private end point in the subnet.
"""
return pulumi.get(self, "private_endpoint_network_policies")
@private_endpoint_network_policies.setter
def private_endpoint_network_policies(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "private_endpoint_network_policies", value)
@property
@pulumi.getter(name="privateLinkServiceNetworkPolicies")
def private_link_service_network_policies(self) -> Optional[pulumi.Input[str]]:
"""
Enable or Disable apply network policies on private link service in the subnet.
"""
return pulumi.get(self, "private_link_service_network_policies")
@private_link_service_network_policies.setter
def private_link_service_network_policies(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "private_link_service_network_policies", value)
@property
@pulumi.getter(name="routeTable")
def route_table(self) -> Optional[pulumi.Input['RouteTableArgs']]:
"""
The reference to the RouteTable resource.
"""
return pulumi.get(self, "route_table")
@route_table.setter
def route_table(self, value: Optional[pulumi.Input['RouteTableArgs']]):
pulumi.set(self, "route_table", value)
@property
@pulumi.getter(name="serviceEndpointPolicies")
def service_endpoint_policies(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ServiceEndpointPolicyArgs']]]]:
"""
An array of service endpoint policies.
"""
return pulumi.get(self, "service_endpoint_policies")
@service_endpoint_policies.setter
def service_endpoint_policies(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ServiceEndpointPolicyArgs']]]]):
pulumi.set(self, "service_endpoint_policies", value)
@property
@pulumi.getter(name="serviceEndpoints")
def service_endpoints(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ServiceEndpointPropertiesFormatArgs']]]]:
"""
An array of service endpoints.
"""
return pulumi.get(self, "service_endpoints")
@service_endpoints.setter
def service_endpoints(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ServiceEndpointPropertiesFormatArgs']]]]):
pulumi.set(self, "service_endpoints", value)
@property
@pulumi.getter(name="subnetName")
def subnet_name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the subnet.
"""
return pulumi.get(self, "subnet_name")
@subnet_name.setter
def subnet_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "subnet_name", value)
class Subnet(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
address_prefix: Optional[pulumi.Input[str]] = None,
address_prefixes: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
delegations: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DelegationArgs']]]]] = None,
id: Optional[pulumi.Input[str]] = None,
ip_allocations: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['SubResourceArgs']]]]] = None,
name: Optional[pulumi.Input[str]] = None,
nat_gateway: Optional[pulumi.Input[pulumi.InputType['SubResourceArgs']]] = None,
network_security_group: Optional[pulumi.Input[pulumi.InputType['NetworkSecurityGroupArgs']]] = None,
private_endpoint_network_policies: Optional[pulumi.Input[str]] = None,
private_link_service_network_policies: Optional[pulumi.Input[str]] = None,
resource_group_name: Optional[pulumi.Input[str]] = None,
route_table: Optional[pulumi.Input[pulumi.InputType['RouteTableArgs']]] = None,
service_endpoint_policies: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ServiceEndpointPolicyArgs']]]]] = None,
service_endpoints: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ServiceEndpointPropertiesFormatArgs']]]]] = None,
subnet_name: Optional[pulumi.Input[str]] = None,
virtual_network_name: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Subnet in a virtual network resource.
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] address_prefix: The address prefix for the subnet.
:param pulumi.Input[Sequence[pulumi.Input[str]]] address_prefixes: List of address prefixes for the subnet.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DelegationArgs']]]] delegations: An array of references to the delegations on the subnet.
:param pulumi.Input[str] id: Resource ID.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['SubResourceArgs']]]] ip_allocations: Array of IpAllocation which reference this subnet.
:param pulumi.Input[str] name: The name of the resource that is unique within a resource group. This name can be used to access the resource.
:param pulumi.Input[pulumi.InputType['SubResourceArgs']] nat_gateway: Nat gateway associated with this subnet.
:param pulumi.Input[pulumi.InputType['NetworkSecurityGroupArgs']] network_security_group: The reference to the NetworkSecurityGroup resource.
:param pulumi.Input[str] private_endpoint_network_policies: Enable or Disable apply network policies on private end point in the subnet.
:param pulumi.Input[str] private_link_service_network_policies: Enable or Disable apply network policies on private link service in the subnet.
:param pulumi.Input[str] resource_group_name: The name of the resource group.
:param pulumi.Input[pulumi.InputType['RouteTableArgs']] route_table: The reference to the RouteTable resource.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ServiceEndpointPolicyArgs']]]] service_endpoint_policies: An array of service endpoint policies.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ServiceEndpointPropertiesFormatArgs']]]] service_endpoints: An array of service endpoints.
:param pulumi.Input[str] subnet_name: The name of the subnet.
:param pulumi.Input[str] virtual_network_name: The name of the virtual network.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: SubnetArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Subnet in a virtual network resource.
:param str resource_name: The name of the resource.
:param SubnetArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(SubnetArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
address_prefix: Optional[pulumi.Input[str]] = None,
address_prefixes: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
delegations: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DelegationArgs']]]]] = None,
id: Optional[pulumi.Input[str]] = None,
ip_allocations: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['SubResourceArgs']]]]] = None,
name: Optional[pulumi.Input[str]] = None,
nat_gateway: Optional[pulumi.Input[pulumi.InputType['SubResourceArgs']]] = None,
network_security_group: Optional[pulumi.Input[pulumi.InputType['NetworkSecurityGroupArgs']]] = None,
private_endpoint_network_policies: Optional[pulumi.Input[str]] = None,
private_link_service_network_policies: Optional[pulumi.Input[str]] = None,
resource_group_name: Optional[pulumi.Input[str]] = None,
route_table: Optional[pulumi.Input[pulumi.InputType['RouteTableArgs']]] = None,
service_endpoint_policies: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ServiceEndpointPolicyArgs']]]]] = None,
service_endpoints: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ServiceEndpointPropertiesFormatArgs']]]]] = None,
subnet_name: Optional[pulumi.Input[str]] = None,
virtual_network_name: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = SubnetArgs.__new__(SubnetArgs)
__props__.__dict__["address_prefix"] = address_prefix
__props__.__dict__["address_prefixes"] = address_prefixes
__props__.__dict__["delegations"] = delegations
__props__.__dict__["id"] = id
__props__.__dict__["ip_allocations"] = ip_allocations
__props__.__dict__["name"] = name
__props__.__dict__["nat_gateway"] = nat_gateway
__props__.__dict__["network_security_group"] = network_security_group
__props__.__dict__["private_endpoint_network_policies"] = private_endpoint_network_policies
__props__.__dict__["private_link_service_network_policies"] = private_link_service_network_policies
if resource_group_name is None and not opts.urn:
raise TypeError("Missing required property 'resource_group_name'")
__props__.__dict__["resource_group_name"] = resource_group_name
__props__.__dict__["route_table"] = route_table
__props__.__dict__["service_endpoint_policies"] = service_endpoint_policies
__props__.__dict__["service_endpoints"] = service_endpoints
__props__.__dict__["subnet_name"] = subnet_name
if virtual_network_name is None and not opts.urn:
raise TypeError("Missing required property 'virtual_network_name'")
__props__.__dict__["virtual_network_name"] = virtual_network_name
__props__.__dict__["etag"] = None
__props__.__dict__["ip_configuration_profiles"] = None
__props__.__dict__["ip_configurations"] = None
__props__.__dict__["private_endpoints"] = None
__props__.__dict__["provisioning_state"] = None
__props__.__dict__["purpose"] = None
__props__.__dict__["resource_navigation_links"] = None
__props__.__dict__["service_association_links"] = None
alias_opts = pulumi.ResourceOptions(aliases=[pulumi.Alias(type_="azure-nextgen:network/v20200401:Subnet"), pulumi.Alias(type_="azure-native:network:Subnet"), pulumi.Alias(type_="azure-nextgen:network:Subnet"), pulumi.Alias(type_="azure-native:network/v20150501preview:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20150501preview:Subnet"), pulumi.Alias(type_="azure-native:network/v20150615:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20150615:Subnet"), pulumi.Alias(type_="azure-native:network/v20160330:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20160330:Subnet"), pulumi.Alias(type_="azure-native:network/v20160601:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20160601:Subnet"), pulumi.Alias(type_="azure-native:network/v20160901:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20160901:Subnet"), pulumi.Alias(type_="azure-native:network/v20161201:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20161201:Subnet"), pulumi.Alias(type_="azure-native:network/v20170301:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20170301:Subnet"), pulumi.Alias(type_="azure-native:network/v20170601:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20170601:Subnet"), pulumi.Alias(type_="azure-native:network/v20170801:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20170801:Subnet"), pulumi.Alias(type_="azure-native:network/v20170901:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20170901:Subnet"), pulumi.Alias(type_="azure-native:network/v20171001:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20171001:Subnet"), pulumi.Alias(type_="azure-native:network/v20171101:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20171101:Subnet"), pulumi.Alias(type_="azure-native:network/v20180101:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20180101:Subnet"), pulumi.Alias(type_="azure-native:network/v20180201:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20180201:Subnet"), pulumi.Alias(type_="azure-native:network/v20180401:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20180401:Subnet"), pulumi.Alias(type_="azure-native:network/v20180601:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20180601:Subnet"), pulumi.Alias(type_="azure-native:network/v20180701:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20180701:Subnet"), pulumi.Alias(type_="azure-native:network/v20180801:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20180801:Subnet"), pulumi.Alias(type_="azure-native:network/v20181001:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20181001:Subnet"), pulumi.Alias(type_="azure-native:network/v20181101:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20181101:Subnet"), pulumi.Alias(type_="azure-native:network/v20181201:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20181201:Subnet"), pulumi.Alias(type_="azure-native:network/v20190201:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20190201:Subnet"), pulumi.Alias(type_="azure-native:network/v20190401:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20190401:Subnet"), pulumi.Alias(type_="azure-native:network/v20190601:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20190601:Subnet"), pulumi.Alias(type_="azure-native:network/v20190701:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20190701:Subnet"), pulumi.Alias(type_="azure-native:network/v20190801:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20190801:Subnet"), pulumi.Alias(type_="azure-native:network/v20190901:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20190901:Subnet"), pulumi.Alias(type_="azure-native:network/v20191101:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20191101:Subnet"), pulumi.Alias(type_="azure-native:network/v20191201:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20191201:Subnet"), pulumi.Alias(type_="azure-native:network/v20200301:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20200301:Subnet"), pulumi.Alias(type_="azure-native:network/v20200501:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20200501:Subnet"), pulumi.Alias(type_="azure-native:network/v20200601:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20200601:Subnet"), pulumi.Alias(type_="azure-native:network/v20200701:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20200701:Subnet"), pulumi.Alias(type_="azure-native:network/v20200801:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20200801:Subnet"), pulumi.Alias(type_="azure-native:network/v20201101:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20201101:Subnet"), pulumi.Alias(type_="azure-native:network/v20210201:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20210201:Subnet")])
opts = pulumi.ResourceOptions.merge(opts, alias_opts)
super(Subnet, __self__).__init__(
'azure-native:network/v20200401:Subnet',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None) -> 'Subnet':
"""
Get an existing Subnet resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = SubnetArgs.__new__(SubnetArgs)
__props__.__dict__["address_prefix"] = None
__props__.__dict__["address_prefixes"] = None
__props__.__dict__["delegations"] = None
__props__.__dict__["etag"] = None
__props__.__dict__["ip_allocations"] = None
__props__.__dict__["ip_configuration_profiles"] = None
__props__.__dict__["ip_configurations"] = None
__props__.__dict__["name"] = None
__props__.__dict__["nat_gateway"] = None
__props__.__dict__["network_security_group"] = None
__props__.__dict__["private_endpoint_network_policies"] = None
__props__.__dict__["private_endpoints"] = None
__props__.__dict__["private_link_service_network_policies"] = None
__props__.__dict__["provisioning_state"] = None
__props__.__dict__["purpose"] = None
__props__.__dict__["resource_navigation_links"] = None
__props__.__dict__["route_table"] = None
__props__.__dict__["service_association_links"] = None
__props__.__dict__["service_endpoint_policies"] = None
__props__.__dict__["service_endpoints"] = None
return Subnet(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="addressPrefix")
def address_prefix(self) -> pulumi.Output[Optional[str]]:
"""
The address prefix for the subnet.
"""
return pulumi.get(self, "address_prefix")
@property
@pulumi.getter(name="addressPrefixes")
def address_prefixes(self) -> pulumi.Output[Optional[Sequence[str]]]:
"""
List of address prefixes for the subnet.
"""
return pulumi.get(self, "address_prefixes")
@property
@pulumi.getter
def delegations(self) -> pulumi.Output[Optional[Sequence['outputs.DelegationResponse']]]:
"""
An array of references to the delegations on the subnet.
"""
return pulumi.get(self, "delegations")
@property
@pulumi.getter
def etag(self) -> pulumi.Output[str]:
"""
A unique read-only string that changes whenever the resource is updated.
"""
return pulumi.get(self, "etag")
@property
@pulumi.getter(name="ipAllocations")
def ip_allocations(self) -> pulumi.Output[Optional[Sequence['outputs.SubResourceResponse']]]:
"""
Array of IpAllocation which reference this subnet.
"""
return pulumi.get(self, "ip_allocations")
@property
@pulumi.getter(name="ipConfigurationProfiles")
def ip_configuration_profiles(self) -> pulumi.Output[Sequence['outputs.IPConfigurationProfileResponse']]:
"""
Array of IP configuration profiles which reference this subnet.
"""
return pulumi.get(self, "ip_configuration_profiles")
@property
@pulumi.getter(name="ipConfigurations")
def ip_configurations(self) -> pulumi.Output[Sequence['outputs.IPConfigurationResponse']]:
"""
An array of references to the network interface IP configurations using subnet.
"""
return pulumi.get(self, "ip_configurations")
@property
@pulumi.getter
def name(self) -> pulumi.Output[Optional[str]]:
"""
The name of the resource that is unique within a resource group. This name can be used to access the resource.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="natGateway")
def nat_gateway(self) -> pulumi.Output[Optional['outputs.SubResourceResponse']]:
"""
Nat gateway associated with this subnet.
"""
return pulumi.get(self, "nat_gateway")
@property
@pulumi.getter(name="networkSecurityGroup")
def network_security_group(self) -> pulumi.Output[Optional['outputs.NetworkSecurityGroupResponse']]:
"""
The reference to the NetworkSecurityGroup resource.
"""
return pulumi.get(self, "network_security_group")
@property
@pulumi.getter(name="privateEndpointNetworkPolicies")
def private_endpoint_network_policies(self) -> pulumi.Output[Optional[str]]:
"""
Enable or Disable apply network policies on private end point in the subnet.
"""
return pulumi.get(self, "private_endpoint_network_policies")
@property
@pulumi.getter(name="privateEndpoints")
def private_endpoints(self) -> pulumi.Output[Sequence['outputs.PrivateEndpointResponse']]:
"""
An array of references to private endpoints.
"""
return pulumi.get(self, "private_endpoints")
@property
@pulumi.getter(name="privateLinkServiceNetworkPolicies")
def private_link_service_network_policies(self) -> pulumi.Output[Optional[str]]:
"""
Enable or Disable apply network policies on private link service in the subnet.
"""
return pulumi.get(self, "private_link_service_network_policies")
@property
@pulumi.getter(name="provisioningState")
def provisioning_state(self) -> pulumi.Output[str]:
"""
The provisioning state of the subnet resource.
"""
return pulumi.get(self, "provisioning_state")
@property
@pulumi.getter
def purpose(self) -> pulumi.Output[str]:
"""
A read-only string identifying the intention of use for this subnet based on delegations and other user-defined properties.
"""
return pulumi.get(self, "purpose")
@property
@pulumi.getter(name="resourceNavigationLinks")
def resource_navigation_links(self) -> pulumi.Output[Sequence['outputs.ResourceNavigationLinkResponse']]:
"""
An array of references to the external resources using subnet.
"""
return pulumi.get(self, "resource_navigation_links")
@property
@pulumi.getter(name="routeTable")
def route_table(self) -> pulumi.Output[Optional['outputs.RouteTableResponse']]:
"""
The reference to the RouteTable resource.
"""
return pulumi.get(self, "route_table")
@property
@pulumi.getter(name="serviceAssociationLinks")
def service_association_links(self) -> pulumi.Output[Sequence['outputs.ServiceAssociationLinkResponse']]:
"""
An array of references to services injecting into this subnet.
"""
return pulumi.get(self, "service_association_links")
@property
@pulumi.getter(name="serviceEndpointPolicies")
def service_endpoint_policies(self) -> pulumi.Output[Optional[Sequence['outputs.ServiceEndpointPolicyResponse']]]:
"""
An array of service endpoint policies.
"""
return pulumi.get(self, "service_endpoint_policies")
@property
@pulumi.getter(name="serviceEndpoints")
def service_endpoints(self) -> pulumi.Output[Optional[Sequence['outputs.ServiceEndpointPropertiesFormatResponse']]]:
"""
An array of service endpoints.
"""
return pulumi.get(self, "service_endpoints")
| [
"[email protected]"
] | |
a4ef2d7cc0c353c839e5ba8800de8867a6695388 | b6c93083b83cd0b441c2d2347b08a529e41eaa2c | /utils/munin/newsblur_tasks_pipeline.py | 1588ff390bb2579e26a7724283f0b52c48959628 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | seejay/NewsBlur | 4b2b65536f38cfedc47f85708f6f23778986f951 | 311c5a71981c12d1389b58def94df62cb5c60575 | refs/heads/master | 2023-06-08T00:46:21.118450 | 2021-06-24T04:13:33 | 2021-06-24T04:13:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,586 | py | #!/srv/newsblur/venv/newsblur/bin/python
from utils.munin.base import MuninGraph
import os
os.environ["DJANGO_SETTINGS_MODULE"] = "newsblur.settings"
import django
django.setup()
class NBMuninGraph(MuninGraph):
@property
def graph_config(self):
graph = {
'graph_category' : 'NewsBlur',
'graph_title' : 'NewsBlur Task Pipeline',
'graph_vlabel' : 'Feed fetch pipeline times',
'graph_args' : '-l 0',
'feed_fetch.label': 'feed_fetch',
'feed_process.label': 'feed_process',
'page.label': 'page',
'icon.label': 'icon',
'total.label': 'total',
}
return graph
def calculate_metrics(self):
return self.stats
@property
def stats(self):
import datetime
from django.conf import settings
stats = settings.MONGOANALYTICSDB.nbanalytics.feed_fetches.aggregate([{
"$match": {
"date": {
"$gt": datetime.datetime.now() - datetime.timedelta(minutes=5),
},
},
}, {
"$group": {
"_id": 1,
"feed_fetch": {"$avg": "$feed_fetch"},
"feed_process": {"$avg": "$feed_process"},
"page": {"$avg": "$page"},
"icon": {"$avg": "$icon"},
"total": {"$avg": "$total"},
},
}])
return list(stats)[0]
if __name__ == '__main__':
NBMuninGraph().run()
| [
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] | |
c15b6b0d315719168a07c0479432a673d7a637e0 | 04462eb2f7ebdc7ac945a63b4c3d9aeeed4920de | /backend/manage.py | def0f48d666b41a0a606ea608b6da7db9b2260b2 | [] | no_license | crowdbotics-apps/yoyo-28319 | 7a1d86d1b713cbd523c23242bfb8014376333b74 | f8b8a47fa1740b73b6a9db8e4e6fe5210d4d8167 | refs/heads/master | 2023-06-10T01:44:36.149151 | 2021-06-30T08:19:58 | 2021-06-30T08:19:58 | 381,627,025 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 630 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'yoyo_28319.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's installed and "
"available on your PYTHONPATH environment variable? Did you "
"forget to activate a virtual environment?"
) from exc
execute_from_command_line(sys.argv)
if __name__ == '__main__':
main()
| [
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] | |
708d35129495d3fcd0f5c2e678318c001704c805 | d451e26b2689a34a6660a6a947fe97abde90010a | /pang/helpers/nso.py | 8f21ba0b3cffa504f2fe7acdd6ba2e400a42f1dc | [
"MIT"
] | permissive | kecorbin/pang | 25ef8d64d90a5490a4582e7a883c0460b52b1c9a | 1e35cbdf0e30cda5b428ba72fd1fe0a550854ec5 | refs/heads/master | 2023-01-12T18:55:54.098474 | 2018-09-30T03:26:56 | 2018-09-30T03:26:56 | 149,394,962 | 6 | 0 | MIT | 2022-12-26T20:38:22 | 2018-09-19T05:04:49 | Python | UTF-8 | Python | false | false | 5,324 | py | import requests
import os
import errno
from .files import MAKEFILE_BASE
class NSO(object):
def __init__(self, url, username='admin', password='admin'):
self.username = username
self.password = password
self.base_url = url
@property
def headers(self):
headers = {
'Content-Type': "application/vnd.yang.data+json",
'Accept': "application/vnd.yang.collection+json,"
"application/vnd.yang.data+json"
}
return headers
def _utf8_encode(self, obj):
if obj is None:
return None
if isinstance(obj, str): # noqa
return obj
if type(obj) is list:
return [self._utf8_encode(value) for value in obj]
if type(obj) is dict:
obj_dest = {}
for key, value in obj.items():
if 'EXEC' not in key and key != "operations":
obj_dest[self._utf8_encode(key)] = self._utf8_encode(value)
return obj_dest
return obj
def get(self, uri):
url = self.base_url + uri
response = requests.get(url,
headers=self.headers,
auth=(self.username, self.password))
if response.ok:
return response
else:
response.raise_for_status()
def get_device_config_xml(self, device):
headers = {
'Content-Type': "application/vnd.yang.data+xml",
'Accept': "application/vnd.yang.collection+xml,"
"application/vnd.yang.data+xml"
}
url = '/api/config/devices/device/{}/config?deep'.format(device)
url = self.base_url + url
response = requests.get(url,
headers=headers,
auth=(self.username, self.password))
return response.text
def post(self, uri, data=None):
url = self.base_url + uri
response = requests.post(url,
headers=self.headers,
auth=(self.username, self.password))
if response.ok:
return response
else:
response.raise_for_status()
def sync_from(self, device=None):
if device:
raise NotImplementedError
else:
url = "/api/config/devices/_operations/sync-from"
resp = self.post(url)
return resp.json()
def get_device_config(self, device):
"""
gets device configuration from NSO
"""
url = '/api/config/devices/device/{}/config?deep'.format(device)
resp = self.get(url)
return self._utf8_encode(resp.json())
def get_device_list(self):
"""
returns a list of device names from NSO
"""
url = "/api/running/devices/device"
response = self.get(url)
device_list = list()
for d in response.json()["collection"]["tailf-ncs:device"]:
device_list.append(d["name"])
return device_list
def get_ned_id(self, device):
"""
returns a ned id for a given device in NSO
"""
url = "/api/running/devices/device/{}/device-type?deep"
url = url.format(device)
response = self.get(url)
try:
# making some potentially bad assumptions here
#
# {
# "tailf-ncs:device-type": {
# "cli": {
# "ned-id": "tailf-ned-cisco-nx-id:cisco-nx",
# "protocol": "telnet"
# }
# }
# }
device_type = response.json()["tailf-ncs:device-type"]
ned_id = device_type["cli"]["ned-id"]
# tailf-ned-cisco-nx-id:cisco-nx
ned_id = ned_id.split(":")[-1] # cisco-nx
return ned_id
except LookupError:
return None
def generate_netsim_configs(self, devices):
device_types = dict()
# deal with generating load-dir
for d in devices:
xml_config = self.get_device_config_xml(d)
filename = 'load-dir/{0}.xml'.format(d)
if not os.path.exists(os.path.dirname(filename)):
try:
os.makedirs(os.path.dirname(filename))
except OSError as exc: # Guard against race condition
if exc.errno != errno.EEXIST:
raise
with open(filename, "w") as f:
f.write(xml_config)
# grab ned id for later
ned_id = self.get_ned_id(d)
if ned_id:
device_types[d] = ned_id
with open('Makefile', 'w') as fh:
create_template = "\tncs-netsim create-device {} {}\n"
add_template = "\tncs-netsim add-device {} {}\n"
fh.write(MAKEFILE_BASE.format(base_url=self.base_url))
fh.write("netsim:\n")
first = True
for device, ned in device_types.items():
if first:
fh.write(create_template.format(ned, device))
else:
fh.write(add_template.format(ned, device))
first = False
| [
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] | |
0b3451456383d74e43a4eb1d7a9f8ab12ef4adfd | 053cf58d2cbae6f76a03f80b97c2aa53581a49ab | /interface/LiveClassAPI_v_Video_test.py | 696546bf1e716cf0e0cfbcf9084c2fc09a46412d | [] | no_license | qujinliang/LiveClassAPIAutoTest | 8a84bb6649de46d5b90365f5d4d0e9d2ee0e1e11 | 6fbbbfb358d51bde8a4e4912625c73c6d1a9da49 | refs/heads/master | 2020-04-12T14:32:44.359097 | 2018-12-20T09:18:57 | 2018-12-20T09:18:57 | 162,555,549 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,027 | py | import unittest
from util import THQS
from util import LiveAPIRequests
from util.LiveAPIDataFile import LiveAPIData
class LiveClassAPIVideoTest(unittest.TestCase):
"""设为暖场视频接口测试"""
def setUp(self):
'''初始化请求数据url'''
url = LiveAPIData.urlData(self)
url = url+"/api/v1/video/warm/set?"
self.warm_set_data = LiveAPIData.warmSetData(self)
t = THQS.thqs()
warm_set_data = t.get_thqs(self.warm_set_data)
self.warm_set_url = url+warm_set_data
self.live = LiveAPIRequests.LiveAPIRequests
def tearDown(self):
pass
def test_a_list(self):
'''设为暖场视频成功'''
r = self.live.SendOut(self,self.warm_set_url)
if r == None:
print('请求失败，没有返回数据')
self.assertEqual(None,'')
return
print("输入参数：%s" % self.warm_set_data)
print("返回数据: %s" % r)
self.assertEqual(r['result'],'OK')
| [
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] | |
5445bd7a3b77d5f5e64961ad50413d9a4f7b317b | e1e5ffef1eeadd886651c7eaa814f7da1d2ade0a | /Systest/tests/aaa/AAA_FUN_007.py | 5195ce9c3b3c259ea8e7bd9c2e4f562ee283af1d | [] | no_license | muttu2244/MyPython | 1ddf1958e5a3514f9605d1f83c0930b24b856391 | 984ca763feae49a44c271342dbc15fde935174cf | refs/heads/master | 2021-06-09T02:21:09.801103 | 2017-10-10T07:30:04 | 2017-10-10T07:30:04 | 13,803,605 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,161 | py | #!/usr/bin/env python2.5
"""
#######################################################################
#
# Copyright (c) Stoke, Inc.
# All Rights Reserved.
#
# This code is confidential and proprietary to Stoke, Inc. and may only
# be used under a license from Stoke.
#
#######################################################################
Description: - Verify SSX limits the number of sessions to the Max-sessions configured
TEST PLAN: AAA/RADIUS Test Plan
TEST CASES: AAA-FUN-007
TOPOLOGY DIAGRAM:
(Linux) (SSX) (Linux)
------- -------- --------------
|Takama | --------------------------| |------------------------| qa-svr4 |
------- | | --------------
| |
|Lihue-mc|
(Netscreen) | | (Linux)
------ | | --------------
|qa-ns1 | --------------------------| |-------------------------| qa-svr3 |
------ | | --------------
--------
How to run: "python2.5 AAA_FUN_007.py"
AUTHOR: Mahesh - [email protected]
REVIEWER:
"""
### Import the system libraries we need.
import sys, os
### To make sure that the libraries are in correct path.
mydir = os.path.dirname(__file__)
qa_lib_dir = os.path.join(mydir, "../../lib/py")
if qa_lib_dir not in sys.path:
sys.path.insert(1,qa_lib_dir)
# frame-work libraries
from Linux import Linux
from SSX import SSX
from aaa import *
from ike import *
from StokeTest import *
from log import buildLogger
from logging import getLogger
from helpers import is_healthy
# import configs file
from aaa_config import *
from topo import *
# python libraries
import time
class test_AAA_FUN_007(test_case):
myLog = getLogger()
def setUp(self):
"""Establish a telnet session to the SSX box."""
self.ssx = SSX(topo.ssx1['ip_addr'])
self.ssx.telnet()
# CLear SSX configuration
self.ssx.clear_config()
#Establish a telnet session to the Xpress VPN client box.
self.xpress_vpn = Linux(topo.linux["ip_addr"],topo.linux["user_name"],topo.linux["password"])
self.xpress_vpn.telnet()
# wait for card to come up
self.ssx.wait4cards()
self.ssx.clear_health_stats()
def tearDown(self):
# Close the telnet session of SSX
self.ssx.close()
# Close the telnet session of Xpress VPN Client
self.xpress_vpn.close()
def test_AAA_FUN_007(self):
"""
Test case Id: - AAA_FUN_007
"""
self.myLog.output("\n**********start the test**************\n")
# Push SSX config
self.ssx.config_from_string(script_var['common_ssx1'])
self.ssx.config_from_string(script_var['fun_007_ssx'])
# Push xpress vpn config
self.xpress_vpn.write_to_file(script_var['fun_007_xpressvpn_multi'],"autoexec.cfg","/xpm/")
self.xpress_vpn.write_to_file(script_var['add_ip_takama'],"add_ip_takama","/xpm/")
# Enable debug logs for iked
self.ssx.cmd("context %s" % script_var['context'])
self.ssx.cmd("debug module iked all")
self.ssx.cmd("debug module aaad all")
# Flush the debug logs in SSX, if any
self.ssx.cmd("clear log debug")
# Initiate IKE Session from Xpress VPN Client (takama)
self.xpress_vpn.cmd("cd /xpm/")
self.xpress_vpn.cmd("sudo chmod 777 add_ip_takama")
self.xpress_vpn.cmd("sudo ./add_ip_takama")
time.sleep(3)
op_client_cmd = self.xpress_vpn.cmd("sudo ./start_ike")
time.sleep(10)
#Consider 9 client
op_ssx_sa = self.ssx.configcmd("show ike-session brief")
i=0
count=0
ssx_max_ses=5
for i in range(0,len(clnt_ips)):
if clnt_ips[i] in op_ssx_sa:
count=count+1
self.myLog.output("\n\n************* the no. of ike sessions:%d\n\n"%count)
self.failUnless(count==ssx_max_ses,"Mismatch with the number of sessions and Max sessions configured")
# Check the "authentication fail" notify message when more than Max sessions are initiated
op_debug = verify_in_debug(self.ssx,"AUTHEN_FAIL")
self.failUnless(op_debug,"the AUTHENTICATION_FAILED notify message is not sent by SSX")
# Checking SSX Health
hs = self.ssx.get_health_stats()
self.failUnless(is_healthy(hs), "Platform is not healthy")
if __name__ == '__main__':
logfile=__file__.replace('.py','.log')
log = buildLogger(logfile, debug=True, console=True)
suite = test_suite()
suite.addTest(test_AAA_FUN_007)
test_runner(stream=sys.stdout).run(suite)
| [
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] | |
9be957a2c85ebd9b19fe425153d975765239ef04 | 9a1a829eee3b08ed3e1c412d183c0967d44d2c70 | /djinsta/djinsta/urls.py | e4141e8f4811e7e5ca3c6e379697a43e7a854454 | [
"MIT"
] | permissive | woshangfenglove/djinsta | 4f6df93719b46008fb4dfa007527f78f565d1eb8 | 3e006a7027de51715ec34211b0bc771893f2f4a1 | refs/heads/master | 2021-09-11T17:44:32.047646 | 2018-04-10T12:50:11 | 2018-04-10T12:50:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 794 | py | """djinsta URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.0/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.contrib import admin
from django.urls import path, include
urlpatterns = [
path('', include('djin.urls')),
path('admin/', admin.site.urls),
]
| [
"[email protected]"
] | |
edb0af5fe1bef9f2bdae693f8f6c6ee8f2cd6483 | 863bc319e092b5127037db0ead15e627e4b0ac72 | /Uncertainty/data/case-ln/case_ln_100.py | 98ae71457dc82915ee0516dd7baec5f5b7b5bdc8 | [
"MIT"
] | permissive | thanever/SOC | ea349e61eebef7f31c610765cd5db1be14b60800 | 7dc33e9f4713d012f206385452987579f46b63eb | refs/heads/master | 2023-08-27T04:57:38.825111 | 2023-08-07T03:20:42 | 2023-08-07T03:20:42 | 212,486,054 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 321,671 | py | from numpy import array
def case_ln_100():
ppc = {"version": '2'}
ppc["baseMVA"] = 100.0
ppc["bus"] = array([
[1.0, 1.0, 36.3818, 9.7018, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[2.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[4.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[5.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[6.0, 1.0, 7.2764, 2.668, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[7.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[8.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[9.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 11.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[10.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 11.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[11.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 66.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[12.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 66.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[13.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[14.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[15.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 66.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[16.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 66.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[17.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 66.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[18.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 66.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[19.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[20.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[21.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[22.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[23.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[24.0, 2.0, 2.4255, 1.4553, 0.0, 0.0, 1.0, 1.0, 0.0, 6.3, 1.0, 1.1, 0.95, 0.6, 10 ],
[25.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[26.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[27.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[28.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[29.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[30.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 13.8, 1.0, 1.1, 0.95, 0.6, 10 ],
[31.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 13.8, 1.0, 1.1, 0.95, 0.6, 10 ],
[32.0, 2.0, 1.6978, 1.4553, 0.0, 0.0, 1.0, 1.0, 0.0, 20.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[33.0, 2.0, 1.4553, 1.4553, 0.0, 0.0, 1.0, 1.0, 0.0, 15.75, 1.0, 1.1, 0.95, 0.6, 10 ],
[34.0, 2.0, 1.4553, 1.4553, 0.0, 0.0, 1.0, 1.0, 0.0, 15.75, 1.0, 1.1, 0.95, 0.6, 10 ],
[35.0, 2.0, 3.3956, 1.4553, 0.0, 0.0, 1.0, 1.0, 0.0, 24.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[36.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[37.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[38.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ],
[39.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ],
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])
return ppc | [
"[email protected]"
] | |
1d1eb7b895ef58d7411393323789a6cea8d74eb4 | 5ec06dab1409d790496ce082dacb321392b32fe9 | /clients/python/generated/test/test_com_day_cq_wcm_designimporter_parser_taghandlers_factory_text_component_info.py | 9dd311727f08f354672f50c4174ba64c40b3ee04 | [
"Apache-2.0"
] | permissive | shinesolutions/swagger-aem-osgi | e9d2385f44bee70e5bbdc0d577e99a9f2525266f | c2f6e076971d2592c1cbd3f70695c679e807396b | refs/heads/master | 2022-10-29T13:07:40.422092 | 2021-04-09T07:46:03 | 2021-04-09T07:46:03 | 190,217,155 | 3 | 3 | Apache-2.0 | 2022-10-05T03:26:20 | 2019-06-04T14:23:28 | null | UTF-8 | Python | false | false | 1,437 | py | # coding: utf-8
"""
Adobe Experience Manager OSGI config (AEM) API
Swagger AEM OSGI is an OpenAPI specification for Adobe Experience Manager (AEM) OSGI Configurations API # noqa: E501
The version of the OpenAPI document: 1.0.0
Contact: [email protected]
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import unittest
import swaggeraemosgi
from swaggeraemosgi.models.com_day_cq_wcm_designimporter_parser_taghandlers_factory_text_component_info import ComDayCqWcmDesignimporterParserTaghandlersFactoryTextComponentInfo # noqa: E501
from swaggeraemosgi.rest import ApiException
class TestComDayCqWcmDesignimporterParserTaghandlersFactoryTextComponentInfo(unittest.TestCase):
"""ComDayCqWcmDesignimporterParserTaghandlersFactoryTextComponentInfo unit test stubs"""
def setUp(self):
pass
def tearDown(self):
pass
def testComDayCqWcmDesignimporterParserTaghandlersFactoryTextComponentInfo(self):
"""Test ComDayCqWcmDesignimporterParserTaghandlersFactoryTextComponentInfo"""
# FIXME: construct object with mandatory attributes with example values
# model = swaggeraemosgi.models.com_day_cq_wcm_designimporter_parser_taghandlers_factory_text_component_info.ComDayCqWcmDesignimporterParserTaghandlersFactoryTextComponentInfo() # noqa: E501
pass
if __name__ == '__main__':
unittest.main()
| [
"[email protected]"
] | |
33d65505e62415ec474373f835f060af9a83c2d8 | 7b12eb45c1ea76ad9c186b858b5dfebf2c5b862a | /.history/DEBER_20210904224213.py | 22245042ab40e7800c1484553318ca360a097082 | [
"MIT"
] | permissive | Alopezm5/PROYECTO-PARTE-1 | a1dce04009b24852c1c60e69bdf602ad3af0574b | bd7a8594edf08d41c6ca544cf6bac01ea4fcb684 | refs/heads/main | 2023-07-25T11:22:17.994770 | 2021-09-07T03:27:34 | 2021-09-07T03:27:34 | 403,670,226 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,323 | py | import os
class Empresa():
def __init__(self,nom="",ruc=0,dire="",tele=0,ciud="",tipEmpr=""):
self.nombre=nom
self.ruc=ruc
self.direccion=dire
self.telefono=tele
self.ciudad=ciud
self.tipoEmpresa=tipEmpr
def datosEmpresa(self):#3
self.nombre=input("Ingresar nombre de la empresa: ")
self.ruc=int(input("Ingresar ruc de la empresa: "))
self.direccion=input("Ingresar la direccion de la empresa: ")
self.telefono=int(input("Ingresar el numero de telefono de la empresa: "))
self.ciudad=input("Ingresar ciudad donde esta la empresa: ")
self.tipoEmpresa=input("Ingresar tipo de empresa publica o privada: ")
def mostrarEmpresa(self):
print("")
print("Datos de la Empresa")
print("La empresa de nombre {}\n De RUC #{} \n Está ubicada en {}\n Se puede comunicar al #{}\n Está empresa esta en la ciudad de {}\n Es una entidad {}".format(self.nombre,self.ruc,self.direccion, self.telefono,self.ciudad, self.tipoEmpresa))
class Empleado(Empresa):
def __init__(self,nom="",cedu=0,dire="",tele=0,email="",estado="",profe="",anti=0,com=0,fNomina="",fIngreso="",iess=0):
self.nombre=nom
self.cedula=cedu
self.direccion=dire
self.telefono=tele
self.correo=email
self.estadocivil=estado
self.profesion=profe
self.antiguedad=anti
self.comision=com
self.fechaNomina=fNomina
self.fechaIngreso=fIngreso
self.iess=iess
def empleado(self):
self.nombre=input("Ingresar nombre del empleado: ")
self.cedula=int(input("Ingresar numero de cedula del empleado: "))
self.direccion=input("Ingresar la direccion del empleado: ")
self.telefono=int(input("Ingresar numero de contacto del empleado: "))
self.correo=input("Ingresar correo personal del empleado: ")
self.iess=float(input("Ingresar valor del iees recordar que debe ser porcentuado Ejemplo si quiere decir 20% debe ingresar 0.20"))
self.fechaNomina=input("Ingresar fecha de nomida (formato año-mes-dia): ")
self.fechaIngreso=input("Ingresar fecha de ingreso (formato año-mes-dia): ")
self.antiguedad=float(input("Ingresar valor de antiguedad"))
self.comision=float(input("Ingresar calor de la comsion: "))
def empleadoObrero(self):
self.estadocivil=input("Ingresar estado civil del empleado: ")
def empleadoOficina(self):
self.profesion=input("Ingresar profesion del empleado: ")
# def mostrarempleado(self):
# print("El empleado: {} con # de C.I. {} \n Con direccion {}, y numero de contacto{}\n Y correo {}".format(self.nombre,self.cedula,self.direccion,self.telefono,self.correo))
class Departamento(Empleado):
def __init__(self,dep=""):
self.departamento=dep
def departa(self):
self.departamento=input("Ingresar el departamento al que pertenece el empleado: ")
def mostrarDeparta(self):
print("El empleado pertenece al departamento de: {}".format(self.departamento))
class Pagos(Empleado):
def __init__(self, desc=0,desper=0,valhora=0,hotraba=0,extra=0):
self.permisos=desper
self.valorhora=valhora
self.horastrabajadas=hotraba
self.valextra=extra
self.sueldo= suel
self.horasRecargo= hrecar
self.horasExtraordinarias=hextra
self.prestamo= pres
self.mesCuota= mcou
self.valor_hora= valho
self.sobretiempo=sobtiem
self.comEmpOficina = comofi
self.antiEmpObrero = antobre
self.iessEmpleado = iemple
self.cuotaPrestamo=cuopres
self.totdes = tot
self.liquidoRecibir = liquid
def pagoNormal(self):
self.sueldo=float(input("Ingresar sueldo del trabajador: $"))
self.prestamo=float(input("Ingresar monto del prestamo que ha generado el empleado: $"))
self.mesCuota=("Ingresar meses qa diferir el prestamo: ")
def pagoExtra(self):
self.horasRecargo=int(input("Ingresar horas de recargo: "))
self.horasExtraordinarias=int(input("Ingresar horas extraordinarias: "))
def calculoSueldo(self):
self.valor_hora=self.sueldo/240
self.sobretiempo= valor_hora * (horasRecargo*0.50+horasExtraordinarias*2)
self.comEmpOficina = self.comision*self.sueldo
self.antiEmpObrero = self.antiguedad*(FechaNomina - FechaIngreso)/365*self.sueldo
self.iessEmpleado = self.iess*(self.sueldo+self.sobretiempo)
self.cuotaPrestamo=self.prestamo/self.mesCuota
if eleccion==1:
self.toting = self.sueldo+self.sobretiempo+ self.comEmpOficina
elif eleccion==2:
self.toting = self.sueldo+self.sobretiempo+self.antiEmpObrero
self.totdes = iessEmpleado + prestamoEmpleado
self.liquidoRecibir = toting - totdes
def mostrarSueldo(self):
print("Arreglar")
emp=Empresa()
emp.datosEmpresa()
emple=Empleado()
emple.empleado()
eleccion=int(input("Va a ingresar un empleado tipo 1. Obreo o 2.Oficina: "))
emple.empleadoObrero()
emple.empleadoOficina()
pag=Pagos()
pag.pagoNormal()
pag.pagoExtra()
pag.calculoSueldo()
os.system ("cls")
emp.mostrarEmpresa()
print("")
emple.mostrarempleado()
print("")
| [
"[email protected]"
] | |
89b21af428d1d308b279efb03d30b5f58713a620 | 2f0c413962f96fe449ddcaf9363f1bdfd4f5e98d | /test/test_gossip.py | 8060199884d775bc93067661bb947acca582a832 | [
"MIT"
] | permissive | vijayanant/kunai | 1d922791dbad8c6132d790d7a58040c3f9ecbedc | 0dfe169731eaceb1bba66e12715b3968d2a3de20 | refs/heads/master | 2021-01-22T12:02:17.293478 | 2014-12-27T13:15:25 | 2014-12-27T13:15:25 | 28,539,772 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 481 | py | #!/usr/bin/env python
# Copyright (C) 2014:
# Gabes Jean, [email protected]
import copy
import time
import threading
from kunai_test import *
from kunai.gossip import Gossip
from kunai.broadcast import Broadcaster
class TestGossip(KunaiTest):
def setUp(self):
self.gossip = Gossip({}, threading.RLock(), 'localhost', 6768, 'testing-kunai', 0, 'AAAA', ['linux', 'kv'], [])
def test_gossip(self):
pass
if __name__ == '__main__':
unittest.main()
| [
"[email protected]"
] | |
02086cbeccc8c19cd85a073f2c7eab29f2e06976 | d2f71636c17dc558e066d150fe496343b9055799 | /eventi/receipts/forms.py | 9d3016a8c6419210c1823d66a44e71eee0f454e5 | [
"MIT"
] | permissive | klebercode/lionsclub | 9d8d11ad6083d25f6d8d92bfbae9a1bbfa6d2106 | 60db85d44214561d20f85673e8f6c047fab07ee9 | refs/heads/master | 2020-06-11T19:45:39.974945 | 2015-04-05T01:11:57 | 2015-04-05T01:11:57 | 33,409,707 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,159 | py | # coding: utf-8
from django import forms
from django.template.loader import render_to_string
from django.core.mail import EmailMultiAlternatives
from eventi.receipts.models import Receipt
from eventi.subscriptions.models import Subscription
class ReceiptForm(forms.ModelForm):
class Meta:
model = Receipt
def send_mail(self, pk):
subject = u'Lions Clubes, comprovante enviado.'
context = {
'name': self.cleaned_data['name'],
'subscription': self.cleaned_data['subscription'],
}
s = Subscription.objects.get(pk=self.cleaned_data['subscription'])
if s:
email_to = s.email
else:
email_to = ''
message = render_to_string('receipts/receipt_mail.txt', context)
message_html = render_to_string('receipts/receipt_mail.html',
context)
msg = EmailMultiAlternatives(subject, message,
'[email protected]',
[email_to])
msg.attach_alternative(message_html, 'text/html')
msg.send()
| [
"[email protected]"
] | |
4b5ce157886ae6f7d16078d25f22aed1aede4df3 | 04b1803adb6653ecb7cb827c4f4aa616afacf629 | /chrome/chrome_cleaner/cleaner/DEPS | 9648b97a1c3d91971cbc9b21e5c24b58308df304 | [
"BSD-3-Clause"
] | permissive | Samsung/Castanets | 240d9338e097b75b3f669604315b06f7cf129d64 | 4896f732fc747dfdcfcbac3d442f2d2d42df264a | refs/heads/castanets_76_dev | 2023-08-31T09:01:04.744346 | 2021-07-30T04:56:25 | 2021-08-11T05:45:21 | 125,484,161 | 58 | 49 | BSD-3-Clause | 2022-10-16T19:31:26 | 2018-03-16T08:07:37 | null | UTF-8 | Python | false | false | 52 | include_rules = [
"+components/chrome_cleaner",
]
| [
"[email protected]"
] | ||
023b58296e4925c5b65036563c3cd12d57e83077 | dc529ac2a73ebcbe4a4974757ae6beb7ead2a85a | /notebooks/globalgoals-pyglobalgoals.py.py | d1aaa7175844e43a40ae9177540a31d8c60d0e9d | [
"BSD-3-Clause"
] | permissive | westurner/pyglobalgoals | 19a611794eb11aa355ab0cd57b2b40a949b34c0f | 768e8dd236fd23e233e33cd9af03284ca4b9dddf | refs/heads/master | 2021-06-30T00:26:06.430143 | 2016-03-08T23:20:14 | 2016-03-08T23:20:14 | 42,337,725 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,352 | py |
# coding: utf-8
# # @TheGlobalGoals for Sustainable Development
# ## Background
#
# * Homepage: **http://www.globalgoals.org/**
# - Twitter: https://twitter.com/TheGlobalGoals
# - Instagram: https://instagram.com/TheGlobalGoals/
# - Facebook: https://www.facebook.com/globalgoals.org
# - YouTube: https://www.youtube.com/channel/UCRfuAYy7MesZmgOi1Ezy0ng/
# - Hashtag: **#GlobalGoals**
# - https://twitter.com/hashtag/GlobalGoals
# - https://instagram.com/explore/tags/GlobalGoals/
# - https://www.facebook.com/hashtag/GlobalGoals
# - Hashtag: #TheGlobalGoals
# - https://twitter.com/hashtag/TheGlobalGoals
# - https://instagram.com/explore/tags/TheGlobalGoals/
# - https://www.facebook.com/hashtag/TheGlobalGoals
#
#
# ### pyglobalgoals
#
# * Homepage: https://github.com/westurner/pyglobalgoals
# * Src: https://github.com/westurner/pyglobalgoals
# * Download: https://github.com/westurner/pyglobalgoals/releases
#
# ### Objectives
#
# * [x] ENH: Read and parse TheGlobalGoals from globalgoals.org
# * [x] ENH: Download (HTTP GET) each GlobalGoal tile image to ``./notebooks/data/images/``
# * [-] ENH: Generate e.g. tweets for each GlobalGoal (e.g. **##gg17** / **##GG17**)
# * [x] ENH: Save TheGlobalGoals to a JSON-LD document
# * [-] ENH: Save TheGlobalGoals with Schema.org RDF vocabulary (as JSON-LD)
# * [-] ENH: Save TheGlobalGoals as ReStructuredText with headings and images
# * [-] ENH: Save TheGlobalGoals as Markdown with headings and images
# * [-] ENH: Save TheGlobalGoals as RDFa with headings and images
# * [ ] ENH: Save TheGlobalGoals as RDFa with images like http://globalgoals.org/
# * [-] DOC: Add narrative documentation where necessary
# * [-] REF: Refactor and extract methods from ``./notebooks/`` to ``./pyglobalgoals/``
#
# ## Implementation
#
# * Python package: [**pyglobalgoals**](#pyglobalgoals)
#
# * Jupyter notebook: **``./notebooks/globalgoals-pyglobalgoals.py.ipynb``**
# * Src: https://github.com/westurner/pyglobalgoals/blob/master/notebooks/globalgoals-pyglobalgoals.py.ipynb
# * Src: https://github.com/westurner/pyglobalgoals/blob/master/notebooks/globalgoals-pyglobalgoals.py.py
# * Src: https://github.com/westurner/pyglobalgoals/blob/develop/notebooks/globalgoals-pyglobalgoals.py.ipynb
# * Src: https://github.com/westurner/pyglobalgoals/blob/v0.1.2/notebooks/globalgoals-pyglobalgoals.py.ipynb
# * Src: https://github.com/westurner/pyglobalgoals/blob/v0.2.1/notebooks/globalgoals-pyglobalgoals.py.ipynb
#
# * [x] Download HTML with requests
# * [x] Parse HTML with beautifulsoup
# * [x] Generate JSON[-LD] with ``collections.OrderedDict``
# * [-] REF: Functional methods -> more formal type model -> ``pyglobalgoals.<...>``
#
#
# * [JSON-LD](#JSONLD) document: **``./notebooks/data/globalgoals.jsonld``**
# * Src: https://github.com/westurner/pyglobalgoals/blob/master/notebooks/data/globalgoals.jsonld
#
#
# ### JSON-LD
#
# * Wikipedia: https://en.wikipedia.org/wiki/JSON-LD
# * Homepage: http://json-ld.org/
# * Docs: http://json-ld.org/playground/
# * Hashtag: #JSONLD
#
# ### RDFa
#
# * Wikipedia: https://en.wikipedia.org/wiki/RDFa
# * Standard: http://www.w3.org/TR/rdfa-core/
# * Docs: http://www.w3.org/TR/rdfa-primer/
# * Hashtag: #RDFa
# In[1]:
#!conda install -y beautiful-soup docutils jinja2 requests
get_ipython().system(u"pip install -U beautifulsoup4 jinja2 'requests<2.8' requests-cache version-information # tweepy")
import bs4
import jinja2
import requests
import requests_cache
requests_cache.install_cache('pyglobalgoals_cache')
#!pip install -U version_information
get_ipython().magic(u'load_ext version_information')
get_ipython().magic(u'version_information jupyter, bs4, jinja2, requests, requests_cache, version_information')
# In[2]:
url = "http://www.globalgoals.org/"
req = requests.get(url)
#print(req)
#print(sorted(dir(req)))
#req.<TAB>
#req??<[Ctrl-]Enter>
if not req.ok:
raise Exception(req)
content = req.content
print(content[:20])
# In[ ]:
# In[3]:
bs = bs4.BeautifulSoup(req.content)
print(bs.prettify())
# In[4]:
tiles = bs.find_all(class_='goal-tile-wrapper')
pp(tiles)
# In[5]:
tile = tiles[0]
print(tile)
# In[6]:
link = tile.findNext('a')
img = link.findNext('img')
img_title = img['alt'][:-5]
img_src = img['src']
link_href = link['href']
example = {'name': img_title, 'img_src': img_src, 'href': link_href}
print(example)
# In[7]:
import collections
def get_data_from_goal_tile_wrapper_div(node, n=None):
link = node.findNext('a')
img = link.findNext('img')
img_title = img['alt'][:-5]
img_src = img['src']
link_href = link['href']
output = collections.OrderedDict({'@type': 'un:GlobalGoal'})
if n:
output['n'] = n
output['name'] = img_title
output['image'] = img_src
output['url'] = link_href
return output
def get_goal_tile_data(bs):
for i, tile in enumerate(bs.find_all(class_='goal-tile-wrapper'), 1):
yield get_data_from_goal_tile_wrapper_div(tile, n=i)
tiles = list(get_goal_tile_data(bs))
import json
print(json.dumps(tiles, indent=2))
goal_tiles = tiles[:-1]
# In[ ]:
# In[8]:
import codecs
from path import Path
def build_default_context():
context = collections.OrderedDict()
# context["dc"] = "http://purl.org/dc/elements/1.1/"
context["schema"] = "http://schema.org/"
# context["xsd"] = "http://www.w3.org/2001/XMLSchema#"
# context["ex"] = "http://example.org/vocab#"
# context["ex:contains"] = {
# "@type": "@id"
# }
# default attrs (alternative: prefix each with schema:)
# schema.org/Thing == schema:Thing (!= schema:thing)
context["name"] = "http://schema.org/name"
context["image"] = {
"@type": "@id",
"@id": "http://schema.org/image"
}
context["url"] = {
"@type": "@id",
"@id":"http://schema.org/url"
}
context["description"] = {
"@type": "http://schema.org/Text",
"@id": "http://schema.org/description"
}
return context
DEFAULT_CONTEXT = build_default_context()
def goal_tiles_to_jsonld(nodes, context=None, default_context=DEFAULT_CONTEXT):
data = collections.OrderedDict()
if context is None and default_context is not None:
data['@context'] = build_default_context()
elif context:
data['@context'] = context
elif default_context:
data['@context'] = default_context
data['@graph'] = nodes
return data
DATA_DIR = Path('.') / 'data'
#DATA_DIR = Path(__file__).dirname
#DATA_DIR = determine_path_to(current_notebook) # PWD initially defaults to nb.CWD
DATA_DIR.makedirs_p()
GLOBAL_GOALS_JSONLD_PATH = DATA_DIR / 'globalgoals.jsonld'
def write_global_goals_jsonld(goal_tiles, path=GLOBAL_GOALS_JSONLD_PATH):
goal_tiles_jsonld = goal_tiles_to_jsonld(goal_tiles)
with codecs.open(path, 'w', 'utf8') as fileobj:
json.dump(goal_tiles_jsonld, fileobj, indent=2)
def read_global_goals_jsonld(path=GLOBAL_GOALS_JSONLD_PATH, prettyprint=True):
with codecs.open(path, 'r', 'utf8') as fileobj:
global_goals_dict = json.load(fileobj,
object_pairs_hook=collections.OrderedDict)
return global_goals_dict
def print_json_dumps(global_goals_dict, indent=2):
print(json.dumps(global_goals_dict, indent=indent))
write_global_goals_jsonld(goal_tiles)
global_goals_dict = read_global_goals_jsonld(path=GLOBAL_GOALS_JSONLD_PATH)
assert global_goals_dict == goal_tiles_to_jsonld(goal_tiles)
print_json_dumps(global_goals_dict)
# In[9]:
def build_tweet_for_goal_tile(node):
return '##gg{n} {name} {url} {image} @TheGlobalGoals #GlobalGoals'.format(**node)
tweets = list(build_tweet_for_goal_tile(tile) for tile in goal_tiles)
tweets
# In[10]:
for node in goal_tiles:
img_basename = node['image'].split('/')[-1]
node['image_basename'] = img_basename
node['tweet_txt'] = build_tweet_for_goal_tile(node)
print(json.dumps(goal_tiles, indent=2))
# In[11]:
#!conda install -y pycurl
try:
import pycurl
except ImportError as e:
import warnings
warnings.warn(unicode(e))
def pycurl_download_file(url, dest_path, follow_redirects=True):
with open(dest_path, 'wb') as f:
c = pycurl.Curl()
c.setopt(c.URL, url)
c.setopt(c.WRITEDATA, f)
if follow_redirects:
c.setopt(c.FOLLOWLOCATION, True)
c.perform()
c.close()
return (url, dest_path)
# In[12]:
import requests
def requests_download_file(url, dest_path, **kwargs):
local_filename = url.split('/')[-1]
# NOTE the stream=True parameter
r = requests.get(url, stream=True)
with open(dest_path, 'wb') as f:
for chunk in r.iter_content(chunk_size=1024):
if chunk: # filter out keep-alive new chunks
f.write(chunk)
f.flush()
return (url, dest_path)
# In[13]:
import urllib
def urllib_urlretrieve_download_file(url, dest_path):
"""
* https://docs.python.org/2/library/urllib.html#urllib.urlretrieve
"""
(filename, headers) = urlllib.urlretrieve(url, dest_path)
return (url, filename)
# In[14]:
def deduplicate_on_attr(nodes, attr='image_basename'):
attrindex = collections.OrderedDict()
for node in nodes:
attrindex.setdefault(node[attr], [])
attrindex[node[attr]].append(node)
return attrindex
def check_for_key_collisions(dict_of_lists):
for name, _nodes in dict_of_lists.items():
if len(_nodes) > 1:
raise Exception(('duplicate filenames:')
(name, nodes))
attrindex = deduplicate_on_attr(goal_tiles, attr='image_basename')
check_for_key_collisions(attrindex)
#
IMG_DIR = DATA_DIR / 'images'
IMG_DIR.makedirs_p()
def download_goal_tile_images(nodes, img_path):
for node in nodes:
dest_path = img_path / node['image_basename']
source_url = node['image']
(url, dest) = requests_download_file(source_url, dest_path)
node['image_path'] = dest
print((node['n'], node['name']))
print((node['image_path']))
# time.sleep(1) # see: requests_cache
download_goal_tile_images(goal_tiles, IMG_DIR)
tiles_jsonld = goal_tiles_to_jsonld(goal_tiles)
print(json.dumps(tiles_jsonld, indent=2))
# In[15]:
#import jupyter.display as display
import IPython.display as display
display.Image(goal_tiles[0]['image_path'])
# In[16]:
import IPython.display
for tile in goal_tiles:
x = IPython.display.Image(tile['image_path'])
x
# In[17]:
import IPython.display
def display_goal_images():
for tile in goal_tiles:
yield IPython.display.Image(tile['image_path'])
x = list(display_goal_images())
#pp(x)
IPython.display.display(*x)
# In[18]:
import string
print(string.punctuation)
NOT_URI_CHARS = dict.fromkeys(string.punctuation + string.digits)
NOT_URI_CHARS.pop('-')
NOT_URI_CHARS.pop('_')
def _slugify(txt):
"""an ~approximate slugify function for human-readable URI #fragments"""
txt = txt.strip().lower()
chars = (
(c if c != ' ' else '-') for c in txt if
c not in NOT_URI_CHARS)
return u''.join(chars)
def _slugify_single_dash(txt):
"""
* unlike docutils, this function does not strip stopwords like 'and' and 'or'
TODO: locate this method in docutils
"""
def _one_dash_only(txt):
count = 0
for char in txt:
if char == '-':
count += 1
else:
if count:
yield '-'
yield char
count = 0
return u''.join(_one_dash_only(_slugify(txt)))
for node in goal_tiles:
node['name_numbered'] = "%d. %s" % (node['n'], node['name'])
node['slug_rst'] = _slugify_single_dash(node['name'])
node['slug_md'] = _slugify_single_dash(node['name'])
print_json_dumps(goal_tiles)
# In[19]:
import IPython.display
def display_goal_images():
for tile in goal_tiles:
yield IPython.display.Markdown("## %s" % tile['name_numbered'])
yield IPython.display.Image(tile['image_path'])
yield IPython.display.Markdown(tile['tweet_txt'].replace('##', '\##'))
x = list(display_goal_images())
#pp(x)
IPython.display.display(*x)
# In[20]:
TMPL_RST = """
The Global Goals
******************
.. contents::
{% for node in nodes %}
{{ node['name_numbered'] }}
======================================================
| {{ node['url'] }}
.. image:: {{ node['image'] }}{# node['image_path'] #}
:target: {{ node['url'] }}
:alt: {{ node['name'] }}
..
{{ node['tweet_txt'] }}
{% endfor %}
"""
tmpl_rst = jinja2.Template(TMPL_RST)
output_rst = tmpl_rst.render(nodes=goal_tiles)
print(output_rst)
# In[21]:
output_rst_path = DATA_DIR / 'globalgoals.rst'
with codecs.open(output_rst_path, 'w', encoding='utf-8') as f:
f.write(output_rst)
print("# wrote goals to %r" % output_rst_path)
# In[22]:
import docutils.core
output_rst_html = docutils.core.publish_string(output_rst, writer_name='html')
print(bs4.BeautifulSoup(output_rst_html).find(id='the-global-goals'))
# In[23]:
IPython.display.HTML(output_rst_html)
# In[24]:
TMPL_MD = """
# The Global Goals
**Contents:**
{% for node in nodes %}
* [{{ node['name_numbered'] }}](#{{ node['slug_md'] }})
{%- endfor %}
{% for node in nodes %}
## {{ node['name_numbered'] }}
{{ node['url'] }}
[![{{node['name_numbered']}}]({{ node['image'] }})]({{ node['url'] }})
> {{ node['tweet_txt'] }}
{% endfor %}
"""
tmpl_md = jinja2.Template(TMPL_MD)
output_markdown = tmpl_md.render(nodes=goal_tiles)
print(output_markdown)
# In[25]:
output_md_path = DATA_DIR / 'globalgoals.md'
with codecs.open(output_md_path, 'w', encoding='utf-8') as f:
f.write(output_markdown)
print("# wrote goals to %r" % output_md_path)
# In[26]:
IPython.display.Markdown(output_markdown)
# In[27]:
context = dict(nodes=goal_tiles)
# In[28]:
TMPL_HTML = """
<h1>The Global Goals</h1>
<h2>Contents:</h2>
{% for node in nodes %}
<li><a href="#{{node.slug_md}}">{{node.name_numbered}}</a></li>
{%- endfor %}
{% for node in nodes %}
<div class="goal-tile">
<h2><a name="#{{node.slug_md}}">{{ node.name_numbered }}</a></h2>
<a href="{{node.url}}">{{node.url}} </a>
<a href="{{node.url}}">
<img src="{{node.image}}" alt="{{node.name_numbered}}"/>{{node.url}} </a>
<div style="margin-left: 12px">
{{ node.tweet_txt }}
</div>
</div>
{% endfor %}
"""
tmpl_html = jinja2.Template(TMPL_HTML)
output_html = tmpl_html.render(**context)
print(output_html)
# In[29]:
output_html_path = DATA_DIR / 'globalgoals.html'
with codecs.open(output_html_path, 'w', encoding='utf-8') as f:
f.write(output_html)
print("# wrote goals to %r" % output_html_path)
# In[30]:
IPython.display.HTML(output_html)
# In[31]:
import jinja2
# TODO: prefix un:
TMPL_RDFA_HTML5 = ("""
<div prefix="schema: http://schema.org/
un: http://schema.un.org/#">
<h1>The Global Goals</h1>
<h2>Contents:</h2>
{%- for node in nodes %}
<li><a href="#{{node.slug_md}}">{{node.name_numbered}}</a></li>
{%- endfor %}
{% for node in nodes %}
<div class="goal-tile" resource="{{node.url}}" typeof="un:GlobalGoal">
<div style="display:none">
<meta property="schema:name">{{node.name}}</meta>
<meta property="schema:image">{{node.image}}</meta>
<meta property="#n">{{node.n}}</meta>
</div>
<h2><a name="#{{node.slug_md}}">{{ node.name_numbered }}</a></h2>
<a property="schema:url" href="{{node.url}}">{{node.url}} </a>
<a href="{{node.url}}">
<img src="{{node.image}}" alt="{{node.name_numbered}}"/>{{node.url}} </a>
<div style="margin-left: 12px">
{{ node.tweet_txt }}
</div>
</div>
{% endfor %}
</div>
"""
)
tmpl_rdfa_html5 = jinja2.Template(TMPL_RDFA_HTML5)
output_rdfa_html5 = tmpl_rdfa_html5.render(**context)
print(output_rdfa_html5)
# In[32]:
output_rdfa_html5_path = DATA_DIR / 'globalgoals.rdfa.html5.html'
with codecs.open(output_rdfa_html5_path, 'w', encoding='utf-8') as f:
f.write(output_rdfa_html5_path)
print("# wrote goals to %r" % output_rdfa_html5_path)
# In[33]:
IPython.display.HTML(output_rdfa_html5)
# In[34]:
# tmpl_html
# tmpl_rdfa_html5
import difflib
for line in difflib.unified_diff(
TMPL_HTML.splitlines(),
TMPL_RDFA_HTML5.splitlines()):
print(line)
| [
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] | |
fee2e7e85fd97f95bfea8e5a4c9bfbaf48c5d3df | e204623da7c836b95f209cc7fb357dc0b7f60548 | /meetings/admin.py | 0d6435eab6b99696f4439688f520fcfc68c0a66a | [] | no_license | juliocebrito/syfboyaca4gavantel | 9551db0a9b74dadf831362ceb0f685a482afa828 | c9e9cc5f591dddaa53e3d1fd3db50d16d34424d7 | refs/heads/master | 2022-04-30T00:06:57.239452 | 2019-08-05T15:12:23 | 2019-08-05T15:12:23 | 196,095,965 | 0 | 0 | null | 2022-04-22T22:00:52 | 2019-07-09T23:08:12 | JavaScript | UTF-8 | Python | false | false | 975 | py | from django.contrib import admin
from .models import Meeting, Point
class PointInline(admin.TabularInline):
model = Point
@admin.register(Meeting)
class MeetingAdmin(admin.ModelAdmin):
resource_class = Meeting
list_display = (
'id',
'date',
'type_meeting',
'state',
'sub_state',
'created_at',
'updated_at',
)
list_filter = ('state', 'sub_state', 'created_at', 'updated_at')
search_fields = ['id', 'date', 'type_meeting']
inlines = [PointInline]
@admin.register(Point)
class PointAdmin(admin.ModelAdmin):
resource_class = Point
list_display = (
'id',
'meeting',
'name',
'description',
'comments',
'point_state',
'state',
'sub_state',
'created_at',
'updated_at',
)
list_filter = ('state', 'sub_state', 'created_at', 'updated_at')
search_fields = ['id', 'meeting', 'name', 'point_state']
| [
"[email protected]"
] | |
dc9c1fe37255938851aaf3a338906fbb2638fc4b | fa93e53a9eee6cb476b8998d62067fce2fbcea13 | /devel/.private/pal_navigation_msgs/lib/python2.7/dist-packages/pal_navigation_msgs/msg/_Emergency.py | 8a07633f4c000d1376f965e9af610397e31a6813 | [] | no_license | oyetripathi/ROS_conclusion_project | 2947ee2f575ddf05480dabc69cf8af3c2df53f73 | 01e71350437d57d8112b6cec298f89fc8291fb5f | refs/heads/master | 2023-06-30T00:38:29.711137 | 2021-08-05T09:17:54 | 2021-08-05T09:17:54 | 392,716,311 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 6,296 | py | # This Python file uses the following encoding: utf-8
"""autogenerated by genpy from pal_navigation_msgs/Emergency.msg. Do not edit."""
import codecs
import sys
python3 = True if sys.hexversion > 0x03000000 else False
import genpy
import struct
import std_msgs.msg
class Emergency(genpy.Message):
_md5sum = "a23e1ed551a213a5d03f1cf6db037717"
_type = "pal_navigation_msgs/Emergency"
_has_header = False # flag to mark the presence of a Header object
_full_text = """# Emergency stop msg
bool data
bool forward
bool backward
std_msgs/String[] msgs
================================================================================
MSG: std_msgs/String
string data
"""
__slots__ = ['data','forward','backward','msgs']
_slot_types = ['bool','bool','bool','std_msgs/String[]']
def __init__(self, *args, **kwds):
"""
Constructor. Any message fields that are implicitly/explicitly
set to None will be assigned a default value. The recommend
use is keyword arguments as this is more robust to future message
changes. You cannot mix in-order arguments and keyword arguments.
The available fields are:
data,forward,backward,msgs
:param args: complete set of field values, in .msg order
:param kwds: use keyword arguments corresponding to message field names
to set specific fields.
"""
if args or kwds:
super(Emergency, self).__init__(*args, **kwds)
# message fields cannot be None, assign default values for those that are
if self.data is None:
self.data = False
if self.forward is None:
self.forward = False
if self.backward is None:
self.backward = False
if self.msgs is None:
self.msgs = []
else:
self.data = False
self.forward = False
self.backward = False
self.msgs = []
def _get_types(self):
"""
internal API method
"""
return self._slot_types
def serialize(self, buff):
"""
serialize message into buffer
:param buff: buffer, ``StringIO``
"""
try:
_x = self
buff.write(_get_struct_3B().pack(_x.data, _x.forward, _x.backward))
length = len(self.msgs)
buff.write(_struct_I.pack(length))
for val1 in self.msgs:
_x = val1.data
length = len(_x)
if python3 or type(_x) == unicode:
_x = _x.encode('utf-8')
length = len(_x)
buff.write(struct.Struct('<I%ss'%length).pack(length, _x))
except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self)))))
except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self)))))
def deserialize(self, str):
"""
unpack serialized message in str into this message instance
:param str: byte array of serialized message, ``str``
"""
if python3:
codecs.lookup_error("rosmsg").msg_type = self._type
try:
if self.msgs is None:
self.msgs = None
end = 0
_x = self
start = end
end += 3
(_x.data, _x.forward, _x.backward,) = _get_struct_3B().unpack(str[start:end])
self.data = bool(self.data)
self.forward = bool(self.forward)
self.backward = bool(self.backward)
start = end
end += 4
(length,) = _struct_I.unpack(str[start:end])
self.msgs = []
for i in range(0, length):
val1 = std_msgs.msg.String()
start = end
end += 4
(length,) = _struct_I.unpack(str[start:end])
start = end
end += length
if python3:
val1.data = str[start:end].decode('utf-8', 'rosmsg')
else:
val1.data = str[start:end]
self.msgs.append(val1)
return self
except struct.error as e:
raise genpy.DeserializationError(e) # most likely buffer underfill
def serialize_numpy(self, buff, numpy):
"""
serialize message with numpy array types into buffer
:param buff: buffer, ``StringIO``
:param numpy: numpy python module
"""
try:
_x = self
buff.write(_get_struct_3B().pack(_x.data, _x.forward, _x.backward))
length = len(self.msgs)
buff.write(_struct_I.pack(length))
for val1 in self.msgs:
_x = val1.data
length = len(_x)
if python3 or type(_x) == unicode:
_x = _x.encode('utf-8')
length = len(_x)
buff.write(struct.Struct('<I%ss'%length).pack(length, _x))
except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self)))))
except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self)))))
def deserialize_numpy(self, str, numpy):
"""
unpack serialized message in str into this message instance using numpy for array types
:param str: byte array of serialized message, ``str``
:param numpy: numpy python module
"""
if python3:
codecs.lookup_error("rosmsg").msg_type = self._type
try:
if self.msgs is None:
self.msgs = None
end = 0
_x = self
start = end
end += 3
(_x.data, _x.forward, _x.backward,) = _get_struct_3B().unpack(str[start:end])
self.data = bool(self.data)
self.forward = bool(self.forward)
self.backward = bool(self.backward)
start = end
end += 4
(length,) = _struct_I.unpack(str[start:end])
self.msgs = []
for i in range(0, length):
val1 = std_msgs.msg.String()
start = end
end += 4
(length,) = _struct_I.unpack(str[start:end])
start = end
end += length
if python3:
val1.data = str[start:end].decode('utf-8', 'rosmsg')
else:
val1.data = str[start:end]
self.msgs.append(val1)
return self
except struct.error as e:
raise genpy.DeserializationError(e) # most likely buffer underfill
_struct_I = genpy.struct_I
def _get_struct_I():
global _struct_I
return _struct_I
_struct_3B = None
def _get_struct_3B():
global _struct_3B
if _struct_3B is None:
_struct_3B = struct.Struct("<3B")
return _struct_3B
| [
"[email protected]"
] | |
e0718b4f12184db6ea4c15fbd4918f1f3212a582 | 8e39a4f4ae1e8e88d3b2d731059689ad5b201a56 | /lib32-apps/lib32-libXext/lib32-libXext-1.3.3.py | 773e23325d398e9fbe0d784a04ec5d4ef87625a4 | [] | no_license | wdysln/new | d5f5193f81a1827769085932ab7327bb10ef648e | b643824b26148e71859a1afe4518fe05a79d333c | refs/heads/master | 2020-05-31T00:12:05.114056 | 2016-01-04T11:38:40 | 2016-01-04T11:38:40 | 37,287,357 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 359 | py | metadata = """
summary @ 11 miscellaneous extensions library
homepage @ http://xorg.freedesktop.org/
license @ MIT
src_url @ http://xorg.freedesktop.org/releases/individual/lib/libXext-$version.tar.bz2
arch @ ~x86_64
"""
depends = """
runtime @ sys-libs/glibc x11-libs/libX11 x11-proto/xextproto
"""
srcdir = "libXext-%s" % version
get("main/lib32_utils")
| [
"[email protected]"
] | |
0ee0628059ce0bbdb5a337a48cab93a60ec822f8 | 468f7b1d7639e2465b2ba4e0f960c8a75a10eb89 | /kerasAC/cross_validate.py | 8322e8d37895ddfb25a8c3cf60d3670904215752 | [
"MIT"
] | permissive | soumyakundu/kerasAC | 874a7453044050afa3198c5bd3c34185b53ea571 | f692abf1c6003a9f0d917117f3579a0746ed3b5a | refs/heads/master | 2020-04-23T04:34:10.659657 | 2019-02-14T23:01:42 | 2019-02-14T23:01:42 | 156,909,046 | 0 | 0 | null | 2019-02-15T18:13:21 | 2018-11-09T19:32:57 | Python | UTF-8 | Python | false | false | 6,381 | py | from .splits import *
from .config import args_object_from_args_dict
from .train import *
from .predict import *
from .interpret import *
import argparse
import pdb
def parse_args():
parser=argparse.ArgumentParser(add_help=True)
parser.add_argument("--multi_gpu",action="store_true",default=False)
parser.add_argument("--assembly",default="hg19")
parser.add_argument("--data_path",help="path that stores training/validation/test data")
parser.add_argument("--model_hdf5",required=True)
parser.add_argument("--batch_size",type=int,default=1000)
parser.add_argument("--init_weights",default=None)
parser.add_argument("--ref_fasta",default="/mnt/data/annotations/by_release/hg19.GRCh37/hg19.genome.fa")
parser.add_argument("--w1_w0_file",default=None)
parser.add_argument("--save_w1_w0", default=None,help="output text file to save w1 and w0 to")
parser.add_argument("--weighted",action="store_true")
parser.add_argument('--w1',nargs="*", type=float, default=None)
parser.add_argument('--w0',nargs="*", type=float, default=None)
parser.add_argument("--from_checkpoint_weights",default=None)
parser.add_argument("--from_checkpoint_arch",default=None)
parser.add_argument("--num_tasks",required=True,type=int)
parser.add_argument("--num_train",type=int,default=700000)
parser.add_argument("--num_valid",type=int,default=150000)
#add functionality to train on individuals' allele frequencies
parser.add_argument("--vcf_file",default=None)
parser.add_argument("--global_vcf",action="store_true")
parser.add_argument("--revcomp",action="store_true")
parser.add_argument("--epochs",type=int,default=40)
parser.add_argument("--patience",type=int,default=3)
parser.add_argument("--patience_lr",type=int,default=2,help="number of epochs with no drop in validation loss after which to reduce lr")
parser.add_argument("--architecture_spec",type=str,default="basset_architecture_multitask")
parser.add_argument("--architecture_from_file",type=str,default=None)
parser.add_argument("--tensorboard",action="store_true")
parser.add_argument("--tensorboard_logdir",default="logs")
parser.add_argument("--squeeze_input_for_gru",action="store_true")
parser.add_argument("--seed",type=int,default=1234)
parser.add_argument("--train_upsample", type=float, default=None)
parser.add_argument("--valid_upsample", type=float, default=None)
parser.add_argument("--threads",type=int,default=1)
parser.add_argument("--max_queue_size",type=int,default=100)
parser.add_argument('--weights',help='weights file for the model')
parser.add_argument('--yaml',help='yaml file for the model')
parser.add_argument('--json',help='json file for the model')
parser.add_argument('--predict_chroms',default=None)
parser.add_argument('--data_hammock',help='input file is in hammock format, with unique id for each peak')
parser.add_argument('--variant_bed')
parser.add_argument('--predictions_pickle',help='name of pickle to save predictions',default=None)
parser.add_argument('--accuracy_metrics_file',help='file name to save accuracy metrics',default=None)
parser.add_argument('--predictions_pickle_to_load',help="if predictions have already been generated, provide a pickle with them to just compute the accuracy metrics",default=None)
parser.add_argument('--background_freqs',default=None)
parser.add_argument('--flank',default=500,type=int)
parser.add_argument('--mask',default=10,type=int)
parser.add_argument('--center_on_summit',default=False,action='store_true',help="if this is set to true, the peak will be centered at the summit (must be last entry in bed file or hammock) and expanded args.flank to the left and right")
parser.add_argument("--interpret_chroms",nargs="*")
parser.add_argument("--interpretation_outf",default=None)
parser.add_argument("--method",choices=['gradxinput','deeplift'],default="deeplift")
parser.add_argument('--task_id',type=int)
parser.add_argument('--chromsizes',default='/mnt/data/annotations/by_release/hg19.GRCh37/hg19.chrom.sizes')
parser.add_argument("--interpret",action="store_true",default=False)
return parser.parse_args()
def cross_validate(args):
if type(args)==type({}):
args=args_object_from_args_dict(args)
#run training on each of the splits
if args.assembly not in splits:
raise Exception("Unsupported genome assembly:"+args.assembly+". Supported assemblies include:"+str(splits.keys())+"; add splits for this assembly to splits.py file")
args_dict=vars(args)
print(args_dict)
base_model_file=str(args_dict['model_hdf5'])
base_accuracy_file=str(args_dict['accuracy_metrics_file'])
base_interpretation=str(args_dict['interpretation_outf'])
base_predictions_pickle=str(args_dict['predictions_pickle'])
for split in splits[args.assembly]:
print("Starting split:"+str(split))
test_chroms=splits[args.assembly][split]['test']
validation_chroms=splits[args.assembly][split]['valid']
train_chroms=list(set(chroms[args.assembly])-set(test_chroms+validation_chroms))
#convert args to dict
args_dict=vars(args)
args_dict['train_chroms']=train_chroms
args_dict['validation_chroms']=validation_chroms
#set the training arguments specific to this fold
args_dict['model_hdf5']=base_model_file+"."+str(split)
print("Training model")
train(args_dict)
#set the prediction arguments specific to this fold
if args.save_w1_w0!=None:
args_dict["w1_w0_file"]=args.save_w1_w0
args_dict['accuracy_metrics_file']=base_accuracy_file+"."+str(split)
args_dict['predictions_pickle']=base_predictions_pickle+"."+str(split)
args_dict['predict_chroms']=test_chroms
print("Calculating predictions on the test fold")
predict(args_dict)
if args.interpret==True:
args_dict['interpret_chroms']=test_chroms
args_dict['interpretation_outf']=base_interpretation+'.'+str(split)
print("Running interpretation on the test fold")
interpret(args_dict)
def main():
args=parse_args()
cross_validate(args)
if __name__=="__main__":
main()
| [
"[email protected]"
] | |
a1ee9dd36bec6ac5b2c5fcfb664c79cf089b0fd3 | 944d3c07a3e0edb65f41a4a302f494e6b44e3f45 | /nntoolbox/callbacks/lookahead.py | d87b7f399790c6d799238d7cf9b99033b6816ce0 | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | nhatsmrt/nn-toolbox | acbc753d6081ed1e2ed91ac0fd3343287c78a094 | 689b9924d3c88a433f8f350b89c13a878ac7d7c3 | refs/heads/master | 2022-12-05T21:11:23.725346 | 2021-08-15T17:03:34 | 2021-08-15T17:03:34 | 189,150,286 | 19 | 3 | Apache-2.0 | 2023-09-08T19:29:53 | 2019-05-29T04:25:16 | Python | UTF-8 | Python | false | false | 2,535 | py | from .callbacks import Callback
from ..utils import copy_model, get_device
from typing import Dict, Any
from torch.nn import Module
__all__ = ['LookaheadOptimizer']
class LookaheadOptimizer(Callback):
"""
Lookahead Optimizer: Keep track of a set of "slow weights", which only update periodically. (UNTESTED)
References:
Michael R. Zhang, James Lucas, Geoffrey Hinton, Jimmy Ba. "Lookahead Optimizer: k steps forward, 1 step back."
https://arxiv.org/abs/1907.08610
"""
def __init__(
self, step_size: float=0.5, update_every: int=1, timescale: str="iter", device=get_device()
):
"""
https://arxiv.org/pdf/1803.05407.pdf
:param model: the model currently being trained
:param step_size: the stepsize for slow weight update
:param average_after: the first epoch to start averaging
:param update_every: how many epochs/iters between each average update
"""
assert timescale == "epoch" or timescale == "iter"
self.step_size = step_size
self._update_every = update_every
self._timescale = timescale
self._device = device
def on_train_begin(self):
self._model = self.learner._model
self._model_slow = copy_model(self._model).to(self._device)
def on_epoch_end(self, logs: Dict[str, Any]) -> bool:
if self._timescale == "epoch":
if logs["epoch"] % self._update_every == 0:
self.update_slow_weights()
print("Update slow weights after epoch " + str(logs["epoch"]))
return False
def on_batch_end(self, logs: Dict[str, Any]):
if self._timescale == "iter":
if logs["iter_cnt"] % self._update_every == 0:
self.update_slow_weights()
print("Update slow weights after iteration " + str(logs["iter_cnt"]))
def on_train_end(self):
self._model_slow.to(self.learner._device)
for inputs, labels in self.learner._train_data:
self._model_slow(inputs.to(self.learner._device))
self.learner._model = self._model_slow
def update_slow_weights(self):
for model_p, slow_p in zip(self._model.parameters(), self._model_slow.parameters()):
slow_p.data.add_(self.step_size * (model_p.data.to(slow_p.data.dtype) - slow_p.data))
def get_final_model(self) -> Module:
"""
Return the post-training average model
:return: the averaged model
"""
return self._model_slow
| [
"[email protected]"
] | |
066f1468dcad77bbbba420be664825ae167ba1e7 | f6252f763b46053d81ffcc19919a5adcb0fff069 | /trax/tf_numpy/numpy/tests/utils_test.py | 2558976fd867d9db4baf0bf87b1ce79b48145b68 | [
"Apache-2.0"
] | permissive | codespeakers/trax | ee5da9e39b83b173034ff2638d856dec38e9675a | 9fc11bca7accda0394d629cac96558f4539d7f61 | refs/heads/master | 2020-12-14T15:50:49.634706 | 2020-01-18T20:52:27 | 2020-01-18T20:52:27 | 234,796,218 | 0 | 0 | Apache-2.0 | 2020-01-18T20:51:52 | 2020-01-18T20:51:51 | null | UTF-8 | Python | false | false | 1,847 | py | # coding=utf-8
# Copyright 2019 The Trax Authors.
#
# 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.
"""Tests for utils.py."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow.compat.v2 as tf
from trax.tf_numpy.numpy import utils
class UtilsTest(tf.test.TestCase):
# pylint: disable=unused-argument
def testNpDoc(self):
def np_fun(x):
"""np_fun docstring."""
return
@utils.np_doc(np_fun)
def f():
"""f docstring."""
return
expected = """TensorFlow variant of `numpy.np_fun`.
Unsupported arguments: `x`.
f docstring.
Documentation for `numpy.np_fun`:
np_fun docstring."""
self.assertEqual(f.__doc__, expected)
def testNpDocErrors(self):
def np_fun(x, y=1, **kwargs):
return
# pylint: disable=unused-variable
with self.assertRaisesRegexp(TypeError, 'Cannot find parameter'):
@utils.np_doc(np_fun)
def f1(a):
return
with self.assertRaisesRegexp(TypeError, 'is of kind'):
@utils.np_doc(np_fun)
def f2(x, kwargs):
return
with self.assertRaisesRegexp(
TypeError, 'Parameter "y" should have a default value'):
@utils.np_doc(np_fun)
def f3(x, y):
return
if __name__ == '__main__':
tf.enable_v2_behavior()
tf.test.main()
| [
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] | |
1d77cbfd80b1f6ec236953a1d767cc6340842c4f | c858d9511cdb6a6ca723cd2dd05827d281fa764d | /MFTU/lesson 8/practice/minkowski_curve.py | b1f2a0c187c3359f45a4c64ed166b194bb559ba2 | [] | no_license | DontTouchMyMind/education | 0c904aa929cb5349d7af7e06d9b1bbaab972ef95 | 32a53eb4086b730cc116e633f68cf01f3d4ec1d1 | refs/heads/master | 2021-03-12T11:15:02.479779 | 2020-09-17T08:19:50 | 2020-09-17T08:19:50 | 246,616,542 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 671 | py | from turtle import *
shape('turtle')
speed()
size = 50
def minkowski_curve(length, n):
"""
Function draws a minkowski curve
:param length: simple line length
:param n: recursion depth
:return:
"""
if n == 0:
forward(length)
return
minkowski_curve(length, n - 1)
left(90)
minkowski_curve(length, n - 1)
right(90)
minkowski_curve(length, n - 1)
right(90)
minkowski_curve(length, n - 1)
minkowski_curve(length, n - 1)
left(90)
minkowski_curve(length, n - 1)
left(90)
minkowski_curve(length, n - 1)
right(90)
minkowski_curve(length, n - 1)
minkowski_curve(size / 4, 5)
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] | |
219ecdcca20b2b6ae2df729c0b04f80903956b35 | f84998eddfe0800e525a5ef34dd8fac1898665b2 | /pyski/pyski.py | 1594fda402a49ea6f246a07eb80280dcf44b5817 | [
"MIT"
] | permissive | asmodehn/adam | 76fdd8b7e54c50b20b87309609452293dbc76123 | 98060d76c3aebbada257cd348532509bb2986a5d | refs/heads/master | 2023-09-03T11:28:40.023415 | 2017-12-01T15:50:38 | 2017-12-01T15:50:38 | 106,175,072 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,011 | py | import sys
import cmd
import types
from inspect import signature
from svm import stk_set, stk_get, dup, drop, swap, over, rot
#TODO : unify interface using list of args.
# combinators
# Note how we apply only the immediate composition for B.
def B(x, y, z):
return x, y(z)
def C(x, y, z):
return x, z, y
def K(x, y):
return x
def W(x, y):
return x, y, y
class StackREPL(cmd.Cmd):
"""
Design notes. Cmd is based on the usual model of command + params, or function + arguments.
We want to have a stack based concatenative language, so we need to find the middle ground here...
Each time the user type return, one computation is effectuated
First computation is the current input line (command style) if there is one otherwise current stack (last first)
Any unknown word will be added to the stack and only considered as (unknown symbolic) param, not command.
"""
intro = 'Welcome to pyski. Type help or ? to list commands.\n'
prompt = ' '
file = None
# defining basic combinators with the host language features
env = {
'B': lambda *args: args,
'C': lambda x, y, z: x(y)(z),
'K': lambda x: x,
'W': lambda x: x,
}
# interpreter with the host language features
def evl(self, xpr):
for c in xpr:
try:
yield StackREPL.cmb[c]
except Exception:
raise # TODO : proper handling...
def prompt_refresh(self):
# note : we need the reversed stack for a left prompt
self.prompt = " ".join(reversed(tuple(stk_get()))) + ' '
def do_dup(self, arg):
"""duplicates its argument and push it up to the stack.
Extra arguments are treated before, following stack semantics.
This might seem a bit confusing and might be improved by switching prefix/postfix input semantics and repl design...
"""
stk_set(*dup(*stk_get()))
def do_drop(self, arg):
stk_set(*drop(*stk_get()))
def do_swap(self, arg):
stk_set(*swap(*stk_get()))
def do_over(self, arg):
stk_set(*over(*stk_get()))
def do_rot(self, arg):
stk_set(*rot(*stk_get()))
def default(self, line):
"""Called on an input line when the command prefix is not recognized.
This method automatically adds the command as undefined word, and recurse on argument (until one known command is found).
"""
# lets extract the command
cmd, arg, line = self.parseline(line)
if cmd: # checking for ''
# an add it to the stack (PUSH)
stk_set(cmd, *stk_get())
def emptyline(self):
"""
Called when the input line is empty
This executes one computation on the existing stack
:return:
"""
stkline = " ".join(stk_get())
if stkline:
self.onecmd(stkline)
# this parse in the opposite direction
# def parseline(self, line):
# """Parse the line into a command name and a string containing
# the arguments. Returns a tuple containing (command, args, line).
# 'command' and 'args' may be None if the line couldn't be parsed.
#
# Note this is the reverse as the default cmd implementation : the last word is the command.
# """
# line = line.strip()
# if not line:
# return None, None, line
# elif line[-1] == '?':
# line = line[:-1] + ' help'
# elif line[-1] == '!':
# if hasattr(self, 'do_shell'):
# line = line[:-1] + ' shell'
# else:
# return None, None, line
# i, n = 0, len(line)
# while i < n and line[-i] in self.identchars: i = i + 1
# cmd, arg = line[-i:].strip(), line[:-i]
#
# return cmd, arg, line
def parseline(self, line):
"""Parse the line into a command name and a string containing
the arguments. Returns a tuple containing (command, args, line).
'command' and 'args' may be None if the line couldn't be parsed.
"""
line = line.strip()
if not line:
return None, None, line
elif line[0] == '?':
line = 'help ' + line[1:]
elif line[0] == '!':
if hasattr(self, 'do_shell'):
line = 'shell ' + line[1:]
else:
return None, None, line
i, n = 0, len(line)
while i < n and line[i] in self.identchars: i = i+1
cmd, arg = line[:i], line[i:].strip()
return cmd, arg, line
def postcmd(self, stop, line):
"""Hook method executed just after a command dispatch is finished."""
cmd, arg, line = self.parseline(line)
if arg: # keep rest of the line in cmdqueue, and execute it in cmdloop.
self.cmdqueue.append(arg)
# update prompt
self.prompt_refresh()
return stop
# basic REPL commands
# def do_help(self, arg):
# ""
# def do_shell(self, arg):
# ""
def do_eof(self, arg):
'Stop recording, close the pyski window, and exit.'
print('Thank you for using pyski')
self.close()
return True
# ----- record and playback -----
def do_record(self, arg):
'Save future commands to filename: RECORD rose.cmd'
self.file = open(arg, 'w')
def do_playback(self, arg):
'Playback commands from a file: PLAYBACK rose.cmd'
self.close()
with open(arg) as f:
self.cmdqueue.extend(f.read().splitlines())
def precmd(self, line):
line = line.lower()
if self.file and 'playback' not in line:
print(line, file=self.file)
return line
def close(self):
if self.file:
self.file.close()
self.file = None
if __name__ == '__main__':
StackREPL().cmdloop()
# TODO : separate the evaluator- loop from the read / print loop, to allow to implement word rewriting as a "view/controller" only,
# where the evaluator is kind of the model (on top of the VM for operational semantics, and some type checker/theorem proofer for denotational semantics)...
# maybe even with network protocol in between.
# HOWEVER the read/print entire state must be kept in the evaluator or the VM (and per user)
# => Our evaluator (as a reflective tower) is always running (in a specific location) , like a server, and need a second input interface to manipulate the stored read/print state.
# Maybe the read/print state could also be linked to the tower level ???
# an evaluator can usually be split into a free monad and an interpretor. So maybe we need another construct here...
# But the Free Monad might be the correct math concept that is necessary for a "location" => where current state of computation is kept.
# Comparing with living system theory, encoder/decoder is not needed in homoiconic language, channel, net and time are hardware devices that can be interfaced with teh language somehow, and associator, decider and memory are all done by the free monad implementation.
# The transducer is the interpreter.
# This seems to suggest there would be more to the free monad than just a monad ( how to actually reflection, continuations, etc. ??)...
# It seems also that the free monad could be the place to store configuration of the ditor as well as hte place to implement "optimization" features for the language
# (for ex. a term configured in editor and always used could have a direct VM implementation, rather than rewrite it, and use hte implementation of each of its parts...)
# Maybe there should be a configurable term rewritter between the monad and the interpreter ?? It would rewrite what is unknown by the free monad into what is known... We still need to understand how this is different from the actual interpreter...
# We should keep all this on the side for later, after the curses based view has been developed.
| [
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] | |
f1c4caad5266b2e17020cc4bd4dbf9a3098a0328 | 50a7c55e00b661746fc953ee4940a8f3bf976b18 | /re/finditer.py | 1b7d9113e6a970ba95af69dd0b1a2430e16c9f36 | [] | no_license | cponeill/pymotw-practice-examples | a9e049a5aee671c8bfc958c6a5bfcfb764f12444 | 6e87ca8be925bc103afb7c0f80da8a69f1e80a4c | refs/heads/master | 2021-01-13T13:14:39.216035 | 2017-10-25T14:31:58 | 2017-10-25T14:31:58 | 72,708,203 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 212 | py | # finditer.py
import re
text = 'abbaaabbbbaaaaa'
pattern = 'ab'
for match in re.finditer(pattern, text):
s = match.start()
e = match.end()
print('Found {!r} at {:d}:{:d}'.format(text[s:e], s, e))
| [
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] | |
2e8692153e8631b8e0a381191beddedb83a9b760 | 5e601244fbf32ee5190fb5210a0cd334473a0abe | /projects/WindowsSystemOps/Services/pyAutoResetPrinterWin32.py | c9fdba47c8f7031abcb85ddd9dc5a51b53b36df7 | [] | no_license | DingGuodong/LinuxBashShellScriptForOps | 69ebe45cf3f92b741a078b9b78c2600328ce9b9e | b2ca1e4c870626dd078d447e2d1479b08602bdf6 | refs/heads/master | 2023-08-21T20:53:40.617397 | 2023-07-17T01:41:05 | 2023-07-17T01:41:05 | 57,015,255 | 453 | 343 | null | 2023-02-16T01:29:23 | 2016-04-25T05:55:28 | Python | UTF-8 | Python | false | false | 8,573 | py | #!/usr/bin/python
# encoding: utf-8
# -*- coding: utf-8 -*-
"""
Created by PyCharm.
File Name: LinuxBashShellScriptForOps:pyAutoResetPrinterWin32.py
Version: 0.0.1
Author: Guodong
Author Email: [email protected]
URL: https://github.com/DingGuodong/LinuxBashShellScriptForOps
Download URL: https://github.com/DingGuodong/LinuxBashShellScriptForOps/tarball/master
Create Date: 2018/10/10
Create Time: 10:44
Description: auto reset Spooler(Print Spooler) service when printer failure occurs
Long Description:
References: http://timgolden.me.uk/pywin32-docs/win32print.html
Prerequisites: pypiwin32: pip install pypiwin32
Optional: install 'pywin32'
Development Status: 3 - Alpha, 5 - Production/Stable
Environment: Console
Intended Audience: System Administrators, Developers, End Users/Desktop
License: Freeware, Freely Distributable
Natural Language: English, Chinese (Simplified)
Operating System: POSIX :: Linux, Microsoft :: Windows
Programming Language: Python :: 2.6
Programming Language: Python :: 2.7
Topic: Utilities
"""
import os
import sys
import time
from collections import Counter
from hashlib import md5
import win32print
import win32service
import win32serviceutil
def reset_printer():
"""
Note: administrator privilege is required
this function do three things:
1. stop Print Spooler service
2. delete all job files
3. start Print Spooler service
:return:
"""
service_name = 'spooler'.capitalize()
win_dir = os.environ.get('windir', r'C:\Windows')
printer_path = r"System32\spool\PRINTERS"
path = os.path.join(win_dir, printer_path)
status_code_map = {
0: "UNKNOWN",
1: "STOPPED",
2: "START_PENDING",
3: "STOP_PENDING",
4: "RUNNING"
}
print "printer spool folder is: %s" % path
if os.path.exists(path):
if os.listdir(path):
print "reset printer spooler service in progress ..."
status_code = win32serviceutil.QueryServiceStatus(service_name)[1]
if status_code == win32service.SERVICE_RUNNING or status_code == win32service.SERVICE_START_PENDING:
print "stopping service {service}".format(service=service_name)
win32serviceutil.StopService(serviceName=service_name)
# waiting for service stop, in case of WindowsError exception
# 'WindowsError: [Error 32]' which means
# 'The process cannot access the file because it is being used by another process'.
running_flag = True
while running_flag:
print "waiting for service {service} stop.".format(service=service_name)
status_code = win32serviceutil.QueryServiceStatus(service_name)[1]
time.sleep(2)
if status_code == win32service.SERVICE_STOPPED:
running_flag = False
for top, dirs, nondirs in os.walk(path, followlinks=True):
for item in nondirs:
path_to_remove = os.path.join(top, item)
try:
os.remove(path_to_remove)
except WindowsError:
time.sleep(2)
r""" KNOWN ISSUE:
It will also can NOT remove some files in some Windows, such as 'Windows Server 2012'
Because file maybe used by a program named "Print Filter Pipeline Host",
"C:\Windows\System32\printfilterpipelinesvc.exe"
It will throw out 'WindowsError: [Error 32]' exception again.
"""
os.remove(path_to_remove)
except Exception as e:
print e
print e.args
print e.message
print "file removed: {file}".format(file=path_to_remove)
status_code = win32serviceutil.QueryServiceStatus(service_name)[1]
if status_code != win32service.SERVICE_RUNNING and status_code != win32service.SERVICE_START_PENDING:
print "starting service {service}".format(service=service_name)
win32serviceutil.StartService(serviceName=service_name)
else:
print "current printer spooler in good state, skipped."
else:
print "Error: {path} not found, system files broken!".format(path=path)
sys.exit(1)
status_code = win32serviceutil.QueryServiceStatus(service_name)[1]
if status_code == win32service.SERVICE_RUNNING or status_code == win32service.SERVICE_START_PENDING:
print "[OK] reset printer spooler service successfully!"
else:
print "current service code is {code}, and service state is {state}.".format(code=status_code,
state=status_code_map[status_code])
try:
print "trying start spooler service..."
win32serviceutil.StartService(serviceName=service_name)
status_code = win32serviceutil.QueryServiceStatus(service_name)[1]
if status_code == win32service.SERVICE_RUNNING or status_code == win32service.SERVICE_START_PENDING:
print "service {service} started.".format(service=service_name)
except Exception as e:
print e
print [msg for msg in e.args]
def printer_watchdog():
print win32print.EnumPrinters(win32print.PRINTER_ENUM_LOCAL) # get local printers
print win32print.EnumPrinters(win32print.PRINTER_ENUM_CONNECTIONS) # get printers which other computer shared
default_printer_name = win32print.GetDefaultPrinter()
printer = win32print.OpenPrinter(default_printer_name)
print win32print.GetPrinter(printer)
jobs_list = list()
total_seconds = 60 * 5 # reset after 60*5 seconds, see 'known issue 2' in this file.
sleep_seconds = 10
times = total_seconds / sleep_seconds
current_times = 0
while True:
jobs = win32print.EnumJobs(printer, 0, 3, 1)
# except: pywintypes.error: (1722, 'EnumJobs', 'RPC 服务器不可用。'), ignored this except
# 0 is location of first job,
# 3 is number of jobs to enumerate,
# 1 is job info level, can be 1(win32print.JOB_INFO_1), 2, 3. 3 is reserved, 1 and 2 can NOT get job status, :(
if len(jobs) >= 1:
for job in jobs:
filename = job.get('pDocument')
job_id = job.get('JobId', md5(filename).hexdigest())
job_status = job.get('Status', 0)
if job_status in [0x00000002, 0x00000004, 0x00000800]: # JOB_STATUS_ERROR
"""
Refers:
https://docs.microsoft.com/en-us/windows/desktop/printdocs/job-info-2
~\AppData\Local\Programs\Common\Microsoft\Visual C++ for Python\9.0\WinSDK\Include\WinSpool.h
"""
print "printer need to be reset, ... "
reset_printer()
jobs_list = [] # make sure there are not same job id in list
current_times = 0
print "Current job: ", job_id, job.get('pUserName'), job.get('Submitted'), job.get(
'pMachineName'), filename, "[ %d/%d ]" % (times, current_times + 1)
jobs_list.append(job_id)
# if any([jid in jobs_list for jid in (jobs[0].get('JobId'), jobs[-1].get('JobId'))]):
# current_times += 1
if Counter(jobs_list).most_common(1)[0][1] > 1:
current_times += 1
if current_times > times:
""" KNOWN ISSUE 2:
It will reset when a document sends lots of pages to printer.
This script may reset printer before job finished which is not expected.
"""
print "printer need to be reset, ... "
reset_printer()
jobs_list = [] # make sure there are not same job id in list
current_times = 0
else:
jobs_list = []
current_times = 0
print 'looks good, keep watching ...'
time.sleep(sleep_seconds)
if __name__ == '__main__':
printer_watchdog()
| [
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] | |
635200a8db1ecb79752b90c7330d891670f8b070 | 9d7d88cc4dc326993c6be9ba2a79b5afe86254c5 | /tests/layers/test_position_embedding.py | c110c9a2872554a666f6bd1bc69f201b2421ab25 | [] | no_license | LeeKLTW/posner | 7ebe0e287c8a9db91e150ba08c41772757b2639f | 9a1c6e00c463644a78ebf413b676c74c846dc23d | refs/heads/master | 2022-12-16T17:32:38.327191 | 2020-02-26T11:50:47 | 2020-02-26T11:50:47 | 240,471,085 | 5 | 1 | null | 2022-12-08T03:36:50 | 2020-02-14T09:22:13 | Python | UTF-8 | Python | false | false | 2,839 | py | # -*- coding: utf-8 -*-
import os
import tempfile
import unittest
import numpy as np
from tensorflow import keras
from posner.layers import PositionEmbedding
class TestSinCosPosEmbd(unittest.TestCase):
def test_invalid_output_dim(self):
with self.assertRaises(NotImplementedError):
PositionEmbedding(
mode=PositionEmbedding.MODE_EXPAND,
output_dim=5,
)
def test_missing_output_dim(self):
with self.assertRaises(NotImplementedError):
PositionEmbedding(
mode=PositionEmbedding.MODE_EXPAND,
)
def test_add(self):
seq_len = np.random.randint(1, 10)
embed_dim = np.random.randint(1, 20) * 2
inputs = np.ones((1, seq_len, embed_dim))
model = keras.models.Sequential()
model.add(PositionEmbedding(
input_shape=(seq_len, embed_dim),
mode=PositionEmbedding.MODE_ADD,
name='Pos-Embd',
))
model.compile('adam', 'mse')
model_path = os.path.join(tempfile.gettempdir(),
'pos_embd_%f.h5' % np.random.random())
model.save(model_path)
model = keras.models.load_model(model_path, custom_objects={
'PositionEmbedding': PositionEmbedding})
model.summary()
predicts = model.predict(inputs)[0].tolist()
for i in range(seq_len):
for j in range(embed_dim):
actual = predicts[i][j]
if j % 2 == 0:
expect = 1.0 + np.sin(i / 10000.0 ** (float(j) / embed_dim))
else:
expect = 1.0 + np.cos(i / 10000.0 ** ((j - 1.0) / embed_dim))
self.assertAlmostEqual(expect, actual, places=6,
msg=(embed_dim, i, j, expect, actual))
def test_concat(self):
seq_len = np.random.randint(1, 10)
feature_dim = np.random.randint(1, 20)
embed_dim = np.random.randint(1, 20) * 2
inputs = np.ones((1, seq_len, feature_dim))
model = keras.models.Sequential()
model.add(PositionEmbedding(
input_shape=(seq_len, feature_dim),
output_dim=embed_dim,
mode=PositionEmbedding.MODE_CONCAT,
name='Pos-Embd',
))
model.compile('adam', 'mse')
model_path = os.path.join(tempfile.gettempdir(),
'test_pos_embd_%f.h5' % np.random.random())
model.save(model_path)
model = keras.models.load_model(model_path, custom_objects={
'PositionEmbedding': PositionEmbedding})
model.summary()
predicts = model.predict(inputs)[0].tolist()
for i in range(seq_len):
for j in range(embed_dim):
actual = predicts[i][feature_dim + j]
if j % 2 == 0:
expect = np.sin(i / 10000.0 ** (float(j) / embed_dim))
else:
expect = np.cos(i / 10000.0 ** ((j - 1.0) / embed_dim))
self.assertAlmostEqual(expect, actual, places=6,
msg=(embed_dim, i, j, expect, actual))
| [
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] | |
17a5b8659e14c201ad12ac9f18525fb17aba949f | 674f5dde693f1a60e4480e5b66fba8f24a9cb95d | /armulator/armv6/opcodes/concrete/add_sp_plus_register_thumb_t3.py | 1df3c88b2a6cafe7aa3816167f947a12888f3b06 | [
"MIT"
] | permissive | matan1008/armulator | 75211c18ebc9cd9d33a02890e76fc649483c3aad | 44f4275ab1cafff3cf7a1b760bff7f139dfffb07 | refs/heads/master | 2023-08-17T14:40:52.793120 | 2023-08-08T04:57:02 | 2023-08-08T04:57:02 | 91,716,042 | 29 | 7 | MIT | 2023-08-08T04:55:59 | 2017-05-18T16:37:55 | Python | UTF-8 | Python | false | false | 919 | py | from armulator.armv6.bits_ops import substring, bit_at, chain
from armulator.armv6.opcodes.abstract_opcodes.add_sp_plus_register_thumb import AddSpPlusRegisterThumb
from armulator.armv6.shift import decode_imm_shift, SRType
class AddSpPlusRegisterThumbT3(AddSpPlusRegisterThumb):
@staticmethod
def from_bitarray(instr, processor):
rm = substring(instr, 3, 0)
type_ = substring(instr, 5, 4)
imm2 = substring(instr, 7, 6)
rd = substring(instr, 11, 8)
imm3 = substring(instr, 14, 12)
setflags = bit_at(instr, 20)
shift_t, shift_n = decode_imm_shift(type_, chain(imm3, imm2, 2))
if rd == 13 and (shift_t != SRType.LSL or shift_n > 3) or (rd == 15 and not setflags) or rm in (13, 15):
print('unpredictable')
else:
return AddSpPlusRegisterThumbT3(instr, setflags=setflags, m=rm, d=rd, shift_t=shift_t, shift_n=shift_n)
| [
"[email protected]"
] | |
0e02aa64e88f8cd0103a0bc833aa86ea0ea95fbc | f68afe06e4bbf3d523584852063e767e53441b2b | /Toontown/toontown/toon/DistributedNPCToonBase.py | d205a2543f853382aff51eef5c62dc2aa6178d61 | [] | no_license | DankMickey/Toontown-Offline-Squirting-Flower-Modded- | eb18908e7a35a5f7fc95871814207858b94e2600 | 384754c6d97950468bb62ddd8961c564097673a9 | refs/heads/master | 2021-01-19T17:53:36.591832 | 2017-01-15T02:00:04 | 2017-01-15T02:00:04 | 34,639,744 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,444 | py | from pandac.PandaModules import *
from otp.nametag.NametagGroup import NametagGroup
from direct.directnotify import DirectNotifyGlobal
from direct.fsm import ClassicFSM
from direct.fsm import State
from toontown.toonbase import ToontownGlobals
import DistributedToon
from direct.distributed import DistributedObject
import NPCToons
from toontown.quest import Quests
from direct.distributed import ClockDelta
from toontown.quest import QuestParser
from toontown.quest import QuestChoiceGui
from direct.interval.IntervalGlobal import *
import random
class DistributedNPCToonBase(DistributedToon.DistributedToon):
def __init__(self, cr):
try:
self.DistributedNPCToon_initialized
except:
self.DistributedNPCToon_initialized = 1
DistributedToon.DistributedToon.__init__(self, cr)
self.__initCollisions()
self.setPickable(0)
self.setPlayerType(NametagGroup.CCNonPlayer)
def disable(self):
self.ignore('enter' + self.cSphereNode.getName())
DistributedToon.DistributedToon.disable(self)
def delete(self):
try:
self.DistributedNPCToon_deleted
except:
self.DistributedNPCToon_deleted = 1
self.__deleteCollisions()
DistributedToon.DistributedToon.delete(self)
def generate(self):
DistributedToon.DistributedToon.generate(self)
self.cSphereNode.setName(self.uniqueName('NPCToon'))
self.detectAvatars()
self.setParent(ToontownGlobals.SPRender)
self.startLookAround()
def generateToon(self):
self.setLODs()
self.generateToonLegs()
self.generateToonHead()
self.generateToonTorso()
self.generateToonColor()
self.parentToonParts()
self.rescaleToon()
self.resetHeight()
self.rightHands = []
self.leftHands = []
self.headParts = []
self.hipsParts = []
self.torsoParts = []
self.legsParts = []
self.__bookActors = []
self.__holeActors = []
def announceGenerate(self):
self.initToonState()
DistributedToon.DistributedToon.announceGenerate(self)
def initToonState(self):
self.setAnimState('neutral', 0.9, None, None)
npcOrigin = render.find('**/npc_origin_' + str(self.posIndex))
if not npcOrigin.isEmpty():
self.reparentTo(npcOrigin)
self.initPos()
def initPos(self):
self.clearMat()
def wantsSmoothing(self):
return 0
def detectAvatars(self):
self.accept('enter' + self.cSphereNode.getName(), self.handleCollisionSphereEnter)
def ignoreAvatars(self):
self.ignore('enter' + self.cSphereNode.getName())
def getCollSphereRadius(self):
return 3.25
def __initCollisions(self):
self.cSphere = CollisionTube(0.0, 1.0, 0.0, 0.0, 1.0, 5.0, self.getCollSphereRadius())
self.cSphere.setTangible(0)
self.cSphereNode = CollisionNode('cSphereNode')
self.cSphereNode.addSolid(self.cSphere)
self.cSphereNodePath = self.attachNewNode(self.cSphereNode)
self.cSphereNodePath.hide()
self.cSphereNode.setCollideMask(ToontownGlobals.WallBitmask)
def __deleteCollisions(self):
del self.cSphere
del self.cSphereNode
self.cSphereNodePath.removeNode()
del self.cSphereNodePath
def handleCollisionSphereEnter(self, collEntry):
pass
def setupAvatars(self, av):
self.ignoreAvatars()
av.headsUp(self, 0, 0, 0)
self.headsUp(av, 0, 0, 0)
av.stopLookAround()
av.lerpLookAt(Point3(-0.5, 4, 0), time=0.5)
self.stopLookAround()
self.lerpLookAt(Point3(av.getPos(self)), time=0.5)
def b_setPageNumber(self, paragraph, pageNumber):
self.setPageNumber(paragraph, pageNumber)
self.d_setPageNumber(paragraph, pageNumber)
def d_setPageNumber(self, paragraph, pageNumber):
timestamp = ClockDelta.globalClockDelta.getFrameNetworkTime()
self.sendUpdate('setPageNumber', [paragraph, pageNumber, timestamp])
def freeAvatar(self):
base.localAvatar.posCamera(0, 0)
base.cr.playGame.getPlace().setState('walk')
def setPositionIndex(self, posIndex):
self.posIndex = posIndex
def _startZombieCheck(self):
pass
def _stopZombieCheck(self):
pass
| [
"[email protected]"
] | |
0f92d183dd80697c0761f9cf3934f51b3b3fd1d8 | 9ad21dda46963fcdfe1e908596745d1d97be3dbc | /models/amenity.py | 311c788d33abae282b7e95c9912d537cf31539e6 | [
"LicenseRef-scancode-public-domain"
] | permissive | mj31508/AirBnB_clone_v2 | ef903558983fc84ca7b31d20a40eedad9e622979 | c676bc5fc6184aeb38f8669f7d295fef06e57165 | refs/heads/master | 2021-01-19T17:59:20.638896 | 2017-09-07T00:37:03 | 2017-09-07T00:37:03 | 101,103,176 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 731 | py | #!/usr/bin/python3
"""
Amenity Class from Models Module
"""
from models.base_model import BaseModel, Base, Column, String, Table
from sqlalchemy.orm import relationship, backref
from os import getenv
class Amenity(BaseModel):
"""Amenity class handles all application amenities"""
if getenv("HBNB_TYPE_STORAGE") == "db":
__tablename__ = "amenities"
name = Column(String(128), nullable=False)
place_amenities = relationship("PlaceAmenity", backref="amenities",
cascade="all, delete, delete-orphan")
else:
name = ""
def __init__(self, *args, **kwargs):
"""instantiates a new amenity"""
super().__init__(self, *args, **kwargs)
| [
"[email protected]"
] | |
1a2f4478fe86735f8c3590ae191a1535f26ead5e | 9b80999a1bdd3595022c9abf8743a029fde3a207 | /32-Writing Functions in Python /More on Decorators /Counter.py | 2be3435d9e6819985cf09452b2f9ff7746cd86e5 | [] | no_license | vaibhavkrishna-bhosle/DataCamp-Data_Scientist_with_python | 26fc3a89605f26ac3b77c15dbe45af965080115a | 47d9d2c8c93e1db53154a1642b6281c9149af769 | refs/heads/master | 2022-12-22T14:01:18.140426 | 2020-09-23T11:30:53 | 2020-09-23T11:30:53 | 256,755,894 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 807 | py | '''You're working on a new web app, and you are curious about how many times each of the functions in it gets called. So you decide to write a decorator that adds a counter to each function that you decorate. You could use this information in the future to determine whether there are sections of code that you could remove because they are no longer being used by the app.'''
def counter(func):
def wrapper(*args, **kwargs):
wrapper.count += 1
# Call the function being decorated and return the result
return func(*args, **kwargs)
wrapper.count = 0
# Return the new decorated function
return wrapper
# Decorate foo() with the counter() decorator
@counter
def foo():
print('calling foo()')
foo()
foo()
print('foo() was called {} times.'.format(foo.count)) | [
"[email protected]"
] | |
4856288bd9541b5caa96a0ea2e85cd69b7d31a65 | ece0d321e48f182832252b23db1df0c21b78f20c | /engine/2.80/scripts/addons/add_curve_extra_objects/__init__.py | 1653ad86f875ef36beef157620f21d7633f0d31a | [
"Unlicense",
"GPL-3.0-only",
"Font-exception-2.0",
"GPL-3.0-or-later",
"Apache-2.0",
"LicenseRef-scancode-public-domain",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-public-domain-disclaimer",
"Bitstream-Vera",
"LicenseRef-scancode-blender-2010",
"LGPL-2.1-or-later",
"GPL-2.0-or-later",
"GPL-2.0-only",
"LGPL-2.0-only",
"PSF-2.0",
"LicenseRef-scancode-free-unknown",
"LicenseRef-scancode-proprietary-license",
"GPL-1.0-or-later",
"BSD-2-Clause"
] | permissive | byteinc/Phasor | 47d4e48a52fa562dfa1a2dbe493f8ec9e94625b9 | f7d23a489c2b4bcc3c1961ac955926484ff8b8d9 | refs/heads/master | 2022-10-25T17:05:01.585032 | 2019-03-16T19:24:22 | 2019-03-16T19:24:22 | 175,723,233 | 3 | 1 | Unlicense | 2022-10-21T07:02:37 | 2019-03-15T00:58:08 | Python | UTF-8 | Python | false | false | 12,422 | py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Contributed to by:
# testscreenings, Alejandro Omar Chocano Vasquez, Jimmy Hazevoet, meta-androcto #
# Cmomoney, Jared Forsyth, Adam Newgas, Spivak Vladimir, Jared Forsyth, Atom #
# Antonio Osprite, Marius Giurgi (DolphinDream)
bl_info = {
"name": "Extra Objects",
"author": "Multiple Authors",
"version": (0, 1, 3),
"blender": (2, 80, 0),
"location": "View3D > Add > Curve > Extra Objects",
"description": "Add extra curve object types",
"warning": "",
"wiki_url": "https://wiki.blender.org/index.php/Extensions:2.6/Py/"
"Scripts/Curve/Curve_Objects",
"category": "Add Curve"
}
if "bpy" in locals():
import importlib
importlib.reload(add_curve_aceous_galore)
importlib.reload(add_curve_spirals)
importlib.reload(add_curve_torus_knots)
importlib.reload(add_surface_plane_cone)
importlib.reload(add_curve_curly)
importlib.reload(beveltaper_curve)
importlib.reload(add_curve_celtic_links)
importlib.reload(add_curve_braid)
importlib.reload(add_curve_simple)
importlib.reload(add_curve_spirofit_bouncespline)
else:
from . import add_curve_aceous_galore
from . import add_curve_spirals
from . import add_curve_torus_knots
from . import add_surface_plane_cone
from . import add_curve_curly
from . import beveltaper_curve
from . import add_curve_celtic_links
from . import add_curve_braid
from . import add_curve_simple
from . import add_curve_spirofit_bouncespline
import bpy
from bpy.types import (
Menu,
AddonPreferences,
)
from bpy.props import (
StringProperty,
BoolProperty,
)
def convert_old_presets(data_path, msg_data_path, old_preset_subdir,
new_preset_subdir, fixdic={}, ext=".py"):
"""
convert old presets
"""
def convert_presets(self, context):
if not getattr(self, data_path, False):
return None
import os
target_path = os.path.join("presets", old_preset_subdir)
target_path = bpy.utils.user_resource('SCRIPTS',
target_path)
# created an anytype op to run against preset
op = type('', (), {})()
files = [f for f in os.listdir(target_path) if f.endswith(ext)]
if not files:
print("No old presets in %s" % target_path)
setattr(self, msg_data_path, "No old presets")
return None
new_target_path = os.path.join("presets", new_preset_subdir)
new_target_path = bpy.utils.user_resource('SCRIPTS',
new_target_path,
create=True)
for f in files:
file = open(os.path.join(target_path, f))
for line in file:
if line.startswith("op."):
exec(line)
file.close()
for key, items in fixdic.items():
if hasattr(op, key) and isinstance(getattr(op, key), int):
setattr(op, key, items[getattr(op, key)])
# create a new one
new_file_path = os.path.join(new_target_path, f)
if os.path.isfile(new_file_path):
# do nothing
print("Preset %s already exists, passing..." % f)
continue
file_preset = open(new_file_path, 'w')
file_preset.write("import bpy\n")
file_preset.write("op = bpy.context.active_operator\n")
for prop, value in vars(op).items():
if isinstance(value, str):
file_preset.write("op.%s = '%s'\n" % (prop, str(value)))
else:
file_preset.write("op.%s = %s\n" % (prop, str(value)))
file_preset.close()
print("Writing new preset to %s" % new_file_path)
setattr(self, msg_data_path, "Converted %d old presets" % len(files))
return None
return convert_presets
# Addons Preferences
class CurveExtraObjectsAddonPreferences(AddonPreferences):
bl_idname = __name__
spiral_fixdic = {
"spiral_type": ['ARCH', 'ARCH', 'LOG', 'SPHERE', 'TORUS'],
"curve_type": ['POLY', 'NURBS'],
"spiral_direction": ['COUNTER_CLOCKWISE', 'CLOCKWISE']
}
update_spiral_presets_msg : StringProperty(
default="Nothing to do"
)
update_spiral_presets : BoolProperty(
name="Update Old Presets",
description="Update presets to reflect data changes",
default=False,
update=convert_old_presets(
"update_spiral_presets", # this props name
"update_spiral_presets_msg", # message prop
"operator/curve.spirals",
"curve_extras/curve.spirals",
fixdic=spiral_fixdic
)
)
show_menu_list : BoolProperty(
name="Menu List",
description="Show/Hide the Add Menu items",
default=False
)
show_panel_list : BoolProperty(
name="Panels List",
description="Show/Hide the Panel items",
default=False
)
def draw(self, context):
layout = self.layout
box = layout.box()
box.label(text="Spirals:")
if self.update_spiral_presets:
box.label(text=self.update_spiral_presets_msg, icon="FILE_TICK")
else:
box.prop(self, "update_spiral_presets")
icon_1 = "TRIA_RIGHT" if not self.show_menu_list else "TRIA_DOWN"
box = layout.box()
box.prop(self, "show_menu_list", emboss=False, icon=icon_1)
if self.show_menu_list:
box.label(text="Items located in the Add Menu > Curve (default shortcut Ctrl + A):",
icon="LAYER_USED")
box.label(text="2D Objects:", icon="LAYER_ACTIVE")
box.label(text="Angle, Arc, Circle, Distance, Ellipse, Line, Point, Polygon,",
icon="LAYER_USED")
box.label(text="Polygon ab, Rectangle, Rhomb, Sector, Segment, Trapezoid",
icon="LAYER_USED")
box.label(text="Curve Profiles:", icon="LAYER_ACTIVE")
box.label(text="Arc, Arrow, Cogwheel, Cycloid, Flower, Helix (3D),",
icon="LAYER_USED")
box.label(text="Noise (3D), Nsided, Profile, Rectangle, Splat, Star",
icon="LAYER_USED")
box.label(text="Curve Spirals:", icon="LAYER_ACTIVE")
box.label(text="Archemedian, Logarithmic, Spheric, Torus",
icon="LAYER_USED")
box.label(text="Knots:", icon="LAYER_ACTIVE")
box.label(text="Torus Knots Plus, Celtic Links, Braid Knot",
icon="LAYER_USED")
box.label(text="Curly Curve", icon="LAYER_ACTIVE")
box.label(text="Bevel/Taper:", icon="LAYER_ACTIVE")
box.label(text="Add Curve as Bevel, Add Curve as Taper",
icon="LAYER_USED")
box.label(text="Items located in the Add Menu > Surface (default shortcut Ctrl + A):",
icon="LAYER_USED")
box.label(text="Wedge, Cone, Star, Plane",
icon="LAYER_ACTIVE")
icon_2 = "TRIA_RIGHT" if not self.show_panel_list else "TRIA_DOWN"
box = layout.box()
box.prop(self, "show_panel_list", emboss=False, icon=icon_2)
if self.show_panel_list:
box.label(text="Panel located in 3D View Tools Region > Create:",
icon="LAYER_ACTIVE")
box.label(text="Spline:", icon="LAYER_ACTIVE")
box.label(text="SpiroFit, Bounce Spline, Catenary", icon="LAYER_USED")
box.label(text="Panel located in 3D View Tools Region > Tools:",
icon="LAYER_ACTIVE")
box.label(text="Simple Curve:", icon="LAYER_ACTIVE")
box.label(text="Available if the Active Object is a Curve was created with 2D Objects",
icon="LAYER_USED")
class INFO_MT_curve_knots_add(Menu):
# Define the "Extras" menu
bl_idname = "INFO_MT_curve_knots_add"
bl_label = "Plants"
def draw(self, context):
layout = self.layout
layout.operator_context = 'INVOKE_REGION_WIN'
layout.operator("curve.torus_knot_plus", text="Torus Knot Plus")
layout.operator("curve.celtic_links", text="Celtic Links")
layout.operator("curve.add_braid", text="Braid Knot")
layout.operator("object.add_spirofit_spline", icon="FORCE_MAGNETIC")
layout.operator("object.add_bounce_spline", icon="FORCE_HARMONIC")
layout.operator("object.add_catenary_curve", icon="FORCE_CURVE")
# Define "Extras" menus
def menu_func(self, context):
layout = self.layout
layout.operator_menu_enum("curve.curveaceous_galore", "ProfileType", icon='CURVE_DATA')
layout.operator_menu_enum("curve.spirals", "spiral_type", icon='CURVE_DATA')
if context.mode != 'OBJECT':
# fix in D2142 will allow to work in EDIT_CURVE
return None
layout.separator()
layout.menu(INFO_MT_curve_knots_add.bl_idname, text="Knots", icon='CURVE_DATA')
layout.separator()
layout.operator("curve.curlycurve", text="Curly Curve", icon='CURVE_DATA')
#layout.menu(VIEW3D_MT_bevel_taper_curve_menu, text="Bevel/Taper", icon='CURVE_DATA')
def menu_surface(self, context):
self.layout.separator()
if context.mode == 'EDIT_SURFACE':
self.layout.operator("curve.smooth_x_times", text="Special Smooth", icon="MOD_CURVE")
elif context.mode == 'OBJECT':
self.layout.operator("object.add_surface_wedge", text="Wedge", icon="SURFACE_DATA")
self.layout.operator("object.add_surface_cone", text="Cone", icon="SURFACE_DATA")
self.layout.operator("object.add_surface_star", text="Star", icon="SURFACE_DATA")
self.layout.operator("object.add_surface_plane", text="Plane", icon="SURFACE_DATA")
# Register
classes = [
CurveExtraObjectsAddonPreferences,
INFO_MT_curve_knots_add
]
def register():
from bpy.utils import register_class
for cls in classes:
register_class(cls)
add_curve_simple.register()
add_curve_spirals.register()
add_curve_aceous_galore.register()
add_curve_torus_knots.register()
add_curve_braid.register()
add_curve_celtic_links.register()
add_curve_curly.register()
add_curve_spirofit_bouncespline.register()
add_surface_plane_cone.register()
# Add "Extras" menu to the "Add Curve" menu
bpy.types.VIEW3D_MT_curve_add.append(menu_func)
# Add "Extras" menu to the "Add Surface" menu
bpy.types.VIEW3D_MT_surface_add.append(menu_surface)
def unregister():
# Remove "Extras" menu from the "Add Curve" menu.
bpy.types.VIEW3D_MT_curve_add.remove(menu_func)
# Remove "Extras" menu from the "Add Surface" menu.
bpy.types.VIEW3D_MT_surface_add.remove(menu_surface)
add_surface_plane_cone.unregister()
add_curve_spirofit_bouncespline.unregister()
add_curve_curly.unregister()
add_curve_celtic_links.unregister()
add_curve_braid.unregister()
add_curve_torus_knots.unregister()
add_curve_aceous_galore.unregister()
add_curve_spirals.unregister()
add_curve_simple.unregister()
from bpy.utils import unregister_class
for cls in reversed(classes):
unregister_class(cls)
if __name__ == "__main__":
register()
| [
"[email protected]"
] | |
b37518ea6e71d2bfbce6dd7613cdae72767dc2d5 | 53fab060fa262e5d5026e0807d93c75fb81e67b9 | /backup/user_383/ch84_2019_06_06_20_42_07_280719.py | c024c1d4525f58eee0be02e2b9c6b8bdfb678c43 | [] | no_license | gabriellaec/desoft-analise-exercicios | b77c6999424c5ce7e44086a12589a0ad43d6adca | 01940ab0897aa6005764fc220b900e4d6161d36b | refs/heads/main | 2023-01-31T17:19:42.050628 | 2020-12-16T05:21:31 | 2020-12-16T05:21:31 | 306,735,108 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 151 | py | def inverte_dicionario(dicionario):
dic={}
for k,v in dicionario.items():
if k not in dic:
dic[v] = [k]
else:
dic[i].append(k)
return dic | [
"[email protected]"
] | |
3e02054f06af47425f874171b112433e6801cf4d | e6dab5aa1754ff13755a1f74a28a201681ab7e1c | /.parts/lib/django-1.2/tests/regressiontests/forms/localflavor/au.py | aeb1337e0162f17d8ed5184078850e0af2b835dc | [] | no_license | ronkagan/Euler_1 | 67679203a9510147320f7c6513eefd391630703e | 022633cc298475c4f3fd0c6e2bde4f4728713995 | refs/heads/master | 2021-01-06T20:45:52.901025 | 2014-09-06T22:34:16 | 2014-09-06T22:34:16 | 23,744,842 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 111 | py | /home/action/.parts/packages/googleappengine/1.9.4/lib/django-1.2/tests/regressiontests/forms/localflavor/au.py | [
"[email protected]"
] | |
6eab6235773fadc371788dc6921ac27ab34d157e | 6f866eb49d0b67f0bbbf35c34cebe2babe2f8719 | /tests/app/views/handlers/conftest.py | 8ac724a725dc9f88afecffd8b9b45dc2787c076c | [
"MIT",
"LicenseRef-scancode-proprietary-license"
] | permissive | ONSdigital/eq-questionnaire-runner | 681b0d081f9cff0ee4ae3017ecc61f7390d553bf | 87e7364c4d54fee99e6a5e96649123f11c4b53f1 | refs/heads/main | 2023-09-01T21:59:56.733363 | 2023-08-31T15:07:55 | 2023-08-31T15:07:55 | 219,752,509 | 12 | 18 | MIT | 2023-09-14T11:37:31 | 2019-11-05T13:32:18 | Python | UTF-8 | Python | false | false | 7,411 | py | import uuid
from datetime import datetime, timedelta, timezone
import pytest
from freezegun import freeze_time
from mock import Mock
from app.authentication.auth_payload_versions import AuthPayloadVersion
from app.data_models import QuestionnaireStore
from app.data_models.metadata_proxy import MetadataProxy
from app.data_models.session_data import SessionData
from app.data_models.session_store import SessionStore
from app.questionnaire import QuestionnaireSchema
from tests.app.parser.conftest import get_response_expires_at
time_to_freeze = datetime.now(timezone.utc).replace(second=0, microsecond=0)
tx_id = str(uuid.uuid4())
response_id = "1234567890123456"
period_str = "2016-01-01"
period_id = "2016-02-01"
ref_p_start_date = "2016-02-02"
ref_p_end_date = "2016-03-03"
ru_ref = "432423423423"
ru_name = "ru_name"
user_id = "789473423"
schema_name = "1_0000"
feedback_count = 1
display_address = "68 Abingdon Road, Goathill"
form_type = "I"
collection_exercise_sid = "ce_sid"
case_id = "case_id"
survey_id = "021"
data_version = "0.0.1"
feedback_type = "Feedback type"
feedback_text = "Feedback text"
feedback_type_question_category = "Feedback type question category"
started_at = str(datetime.now(tz=timezone.utc).isoformat())
language_code = "cy"
case_type = "I"
channel = "H"
case_ref = "1000000000000001"
region_code = "GB_WLS"
response_expires_at = get_response_expires_at()
@pytest.fixture
@freeze_time(time_to_freeze)
def session_data():
return SessionData(
language_code="cy",
)
@pytest.fixture
def confirmation_email_fulfilment_schema():
return QuestionnaireSchema(
{
"form_type": "H",
"region_code": "GB-WLS",
"submission": {"confirmation_email": True},
}
)
@pytest.fixture
def language():
return "en"
@pytest.fixture
def schema():
return QuestionnaireSchema(
{
"post_submission": {"view_response": True},
"title": "Test schema - View Submitted Response",
}
)
@pytest.fixture
def storage():
return Mock()
def set_storage_data(
storage_,
raw_data="{}",
version=1,
submitted_at=None,
):
storage_.get_user_data = Mock(
return_value=(raw_data, version, collection_exercise_sid, submitted_at)
)
@pytest.fixture
def session_data_feedback():
return SessionData(
language_code=language_code,
feedback_count=feedback_count,
)
@pytest.fixture
def schema_feedback():
return QuestionnaireSchema({"survey_id": survey_id, "data_version": data_version})
@pytest.fixture
def metadata():
return MetadataProxy.from_dict(
{
"tx_id": tx_id,
"user_id": user_id,
"schema_name": schema_name,
"collection_exercise_sid": collection_exercise_sid,
"period_id": period_id,
"period_str": period_str,
"ref_p_start_date": ref_p_start_date,
"ref_p_end_date": ref_p_end_date,
"ru_ref": ru_ref,
"response_id": response_id,
"form_type": form_type,
"display_address": display_address,
"case_type": case_type,
"channel": channel,
"case_ref": case_ref,
"region_code": region_code,
"case_id": case_id,
"language_code": language_code,
"response_expires_at": response_expires_at,
}
)
@pytest.fixture
def metadata_v2():
return MetadataProxy.from_dict(
{
"version": AuthPayloadVersion.V2,
"tx_id": tx_id,
"case_id": case_id,
"schema_name": schema_name,
"collection_exercise_sid": collection_exercise_sid,
"response_id": response_id,
"channel": channel,
"region_code": region_code,
"account_service_url": "account_service_url",
"response_expires_at": get_response_expires_at(),
"survey_metadata": {
"data": {
"period_id": period_id,
"period_str": period_str,
"ref_p_start_date": ref_p_start_date,
"ref_p_end_date": ref_p_end_date,
"ru_ref": ru_ref,
"ru_name": ru_name,
"case_type": case_type,
"form_type": form_type,
"case_ref": case_ref,
"display_address": display_address,
"user_id": user_id,
}
},
}
)
@pytest.fixture
def response_metadata():
return {
"started_at": started_at,
}
@pytest.fixture
def submission_payload_expires_at():
return datetime.now(timezone.utc) + timedelta(seconds=5)
@pytest.fixture
def submission_payload_session_data():
return SessionData(
language_code="cy",
)
@pytest.fixture
def submission_payload_session_store(
submission_payload_session_data,
submission_payload_expires_at,
): # pylint: disable=redefined-outer-name
return SessionStore("user_ik", "pepper", "eq_session_id").create(
"eq_session_id",
"user_id",
submission_payload_session_data,
submission_payload_expires_at,
)
@pytest.fixture
def mock_questionnaire_store(mocker):
storage_ = mocker.Mock()
storage_.get_user_data = mocker.Mock(return_value=("{}", "ce_id", 1, None))
questionnaire_store = QuestionnaireStore(storage_)
questionnaire_store.metadata = MetadataProxy.from_dict(
{
"tx_id": "tx_id",
"case_id": "case_id",
"ru_ref": ru_ref,
"user_id": user_id,
"collection_exercise_sid": collection_exercise_sid,
"period_id": period_id,
"schema_name": schema_name,
"account_service_url": "account_service_url",
"response_id": "response_id",
"response_expires_at": get_response_expires_at(),
}
)
return questionnaire_store
@pytest.fixture
def mock_questionnaire_store_v2(mocker):
storage_ = mocker.Mock()
storage_.get_user_data = mocker.Mock(return_value=("{}", "ce_id", 1, None))
questionnaire_store = QuestionnaireStore(storage_)
questionnaire_store.metadata = MetadataProxy.from_dict(
{
"version": AuthPayloadVersion.V2,
"tx_id": "tx_id",
"case_id": case_id,
"schema_name": schema_name,
"collection_exercise_sid": collection_exercise_sid,
"response_id": response_id,
"channel": channel,
"region_code": region_code,
"account_service_url": "account_service_url",
"response_expires_at": get_response_expires_at(),
"survey_metadata": {
"data": {
"period_id": period_id,
"period_str": period_str,
"ref_p_start_date": ref_p_start_date,
"ref_p_end_date": ref_p_end_date,
"ru_ref": ru_ref,
"ru_name": ru_name,
"case_type": case_type,
"form_type": form_type,
"case_ref": case_ref,
"display_address": display_address,
"user_id": user_id,
}
},
}
)
return questionnaire_store
| [
"[email protected]"
] | |
3dc4c09fb5506a33933c0f69ed47ea51604b13d2 | 5102f7b8a300186496ce7691c6135efeeaeedd6c | /jobplus/app.py | 8fefd43ae3d75fa52ccf45f67da58614eba6ec85 | [] | no_license | ISONEK/jobplus10-3 | c0bc4ddfca67e54b5015cd9b1bfbfb2499338209 | b595e3c53ced93efa7883c67a4633132b5f52c15 | refs/heads/master | 2022-10-20T20:53:15.506235 | 2019-02-25T14:05:14 | 2019-02-25T14:05:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 336 | py | from flask import Flask
from flask_migrate import Migrate
from .config import configs
from .handlers import front
from jobplus.models import db
def create_app(config):
app = Flask(__name__)
app.config.from_object(configs.get(config))
db.init_app(app)
Migrate(app,db)
app.register_blueprint(front)
return app
| [
"[email protected]"
] | |
6808a79a41526dcd13328e520ccf4ed137afc868 | 0feec97d29377f419d0e4e160b589f094d7493df | /autotest/gdrivers/kea.py | ec95f2f2520c9bd57a506dc29a6cf83f7039f2af | [
"MIT"
] | permissive | Komzpa/gdal | 305176b1146cb4a9783cc17eb1308a8d2ac4a093 | 9ab85be2cc927a34d6fdf311e803aeaf7362fba3 | refs/heads/trunk | 2020-12-28T19:11:33.810933 | 2015-04-04T23:38:45 | 2015-04-04T23:38:45 | 33,422,287 | 0 | 1 | null | 2015-04-04T22:18:40 | 2015-04-04T22:18:40 | null | UTF-8 | Python | false | false | 30,081 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
###############################################################################
# $Id $
#
# Project: GDAL/OGR Test Suite
# Purpose: Test KEA driver
# Author: Even Rouault, <even dot rouault at spatialys dot com>
#
###############################################################################
# Copyright (c) 2014, Even Rouault <even dot rouault at spatialys dot com>
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
###############################################################################
import sys
from osgeo import gdal
sys.path.append( '../pymod' )
import gdaltest
###############################################################################
def kea_init():
try:
gdaltest.kea_driver = gdal.GetDriverByName('KEA')
except:
gdaltest.kea_driver = None
return 'success'
###############################################################################
# Test copying a reference sample with CreateCopy()
def kea_1():
if gdaltest.kea_driver is None:
return 'skip'
tst = gdaltest.GDALTest( 'KEA', 'byte.tif', 1, 4672, options = ['IMAGEBLOCKSIZE=15', 'THEMATIC=YES'] )
return tst.testCreateCopy( check_srs = True, check_gt = 1 )
###############################################################################
# Test CreateCopy() for various data types
def kea_2():
if gdaltest.kea_driver is None:
return 'skip'
src_files = [ 'byte.tif',
'int16.tif',
'../../gcore/data/uint16.tif',
'../../gcore/data/int32.tif',
'../../gcore/data/uint32.tif',
'../../gcore/data/float32.tif',
'../../gcore/data/float64.tif' ]
for src_file in src_files:
tst = gdaltest.GDALTest( 'KEA', src_file, 1, 4672 )
ret = tst.testCreateCopy( check_minmax = 1 )
if ret != 'success':
return ret
return 'success'
###############################################################################
# Test Create() for various data types
def kea_3():
if gdaltest.kea_driver is None:
return 'skip'
src_files = [ 'byte.tif',
'int16.tif',
'../../gcore/data/uint16.tif',
'../../gcore/data/int32.tif',
'../../gcore/data/uint32.tif',
'../../gcore/data/float32.tif',
'../../gcore/data/float64.tif' ]
for src_file in src_files:
tst = gdaltest.GDALTest( 'KEA', src_file, 1, 4672 )
ret = tst.testCreate( out_bands = 1, check_minmax = 1 )
if ret != 'success':
return ret
return 'success'
###############################################################################
# Test Create()/CreateCopy() error cases or limit cases
def kea_4():
if gdaltest.kea_driver is None:
return 'skip'
gdal.PushErrorHandler('CPLQuietErrorHandler')
ds = gdaltest.kea_driver.Create("/non_existing_path", 1, 1)
gdal.PopErrorHandler()
if ds is not None:
gdaltest.post_reason('fail')
return 'fail'
src_ds = gdaltest.kea_driver.Create('tmp/src.kea', 1, 1, 0)
if src_ds is None:
gdaltest.post_reason('fail')
return 'fail'
ds = gdaltest.kea_driver.CreateCopy("tmp/out.kea", src_ds)
if ds is None:
gdaltest.post_reason('fail')
return 'fail'
if ds.RasterCount != 0:
gdaltest.post_reason('fail')
return 'fail'
src_ds = None
ds = None
# Test updating a read-only file
ds = gdaltest.kea_driver.Create('tmp/out.kea', 1, 1)
ds.GetRasterBand(1).Fill(255)
ds = None
ds = gdal.Open('tmp/out.kea')
gdal.PushErrorHandler('CPLQuietErrorHandler')
ret = ds.SetProjection('a')
gdal.PopErrorHandler()
if ret == 0:
gdaltest.post_reason('fail')
return 'fail'
gdal.PushErrorHandler('CPLQuietErrorHandler')
ret = ds.SetGeoTransform([1,2,3,4,5,6])
gdal.PopErrorHandler()
if ret == 0:
gdaltest.post_reason('fail')
return 'fail'
# Disabled for now since some of them cause memory leaks or
# crash in the HDF5 library finalizer
if False:
gdal.PushErrorHandler('CPLQuietErrorHandler')
ret = ds.SetMetadataItem('foo', 'bar')
gdal.PopErrorHandler()
if ret == 0:
gdaltest.post_reason('fail')
return 'fail'
gdal.PushErrorHandler('CPLQuietErrorHandler')
ret = ds.SetMetadata({'foo': 'bar'})
gdal.PopErrorHandler()
if ret == 0:
gdaltest.post_reason('fail')
return 'fail'
gdal.PushErrorHandler('CPLQuietErrorHandler')
ret = ds.GetRasterBand(1).SetMetadataItem('foo', 'bar')
gdal.PopErrorHandler()
if ret == 0:
gdaltest.post_reason('fail')
return 'fail'
gdal.PushErrorHandler('CPLQuietErrorHandler')
ret = ds.GetRasterBand(1).SetMetadata({'foo': 'bar'})
gdal.PopErrorHandler()
if ret == 0:
gdaltest.post_reason('fail')
return 'fail'
gdal.PushErrorHandler('CPLQuietErrorHandler')
ret = ds.SetGCPs([], "")
gdal.PopErrorHandler()
if ret == 0:
gdaltest.post_reason('fail')
return 'fail'
gdal.PushErrorHandler('CPLQuietErrorHandler')
ret = ds.AddBand(gdal.GDT_Byte)
gdal.PopErrorHandler()
if ret == 0:
gdaltest.post_reason('fail')
return 'fail'
ds.GetRasterBand(1).WriteRaster(0,0,1,1,'\0')
gdal.ErrorReset()
gdal.PushErrorHandler('CPLQuietErrorHandler')
ds.FlushCache()
gdal.PopErrorHandler()
if ds.GetRasterBand(1).Checksum() != 3:
gdaltest.post_reason('fail')
return 'fail'
ds = None
gdaltest.kea_driver.Delete('tmp/src.kea')
gdaltest.kea_driver.Delete('tmp/out.kea')
return 'success'
###############################################################################
# Test Create() creation options
def kea_5():
if gdaltest.kea_driver is None:
return 'skip'
options = [ 'IMAGEBLOCKSIZE=15', 'ATTBLOCKSIZE=100', 'MDC_NELMTS=10',
'RDCC_NELMTS=256', 'RDCC_NBYTES=500000', 'RDCC_W0=0.5',
'SIEVE_BUF=32768', 'META_BLOCKSIZE=1024', 'DEFLATE=9', 'THEMATIC=YES' ]
ds = gdaltest.kea_driver.Create("tmp/out.kea", 100, 100, 3, options = options)
ds = None
ds = gdal.Open('tmp/out.kea')
if ds.GetRasterBand(1).GetBlockSize() != [15,15]:
gdaltest.post_reason('fail')
print(ds.GetRasterBand(1).GetBlockSize())
return 'failure'
if ds.GetRasterBand(1).GetMetadataItem('LAYER_TYPE') != 'thematic':
gdaltest.post_reason('fail')
print(ds.GetRasterBand(1).GetMetadata())
return 'failure'
if ds.GetRasterBand(1).Checksum() != 0:
gdaltest.post_reason('fail')
print(ds.GetRasterBand(1).Checksum())
return 'failure'
if ds.GetGeoTransform() != (0,1,0,0,0,-1):
gdaltest.post_reason('fail')
print(ds.GetGeoTransform())
return 'failure'
if ds.GetProjectionRef() != '':
gdaltest.post_reason('fail')
print(ds.GetProjectionRef())
return 'failure'
ds = None
gdaltest.kea_driver.Delete('tmp/out.kea')
return 'success'
###############################################################################
# Test metadata
def kea_6():
if gdaltest.kea_driver is None:
return 'skip'
ds = gdaltest.kea_driver.Create("tmp/out.kea", 1, 1, 5)
ds.SetMetadata( { 'foo':'bar' } )
ds.SetMetadataItem( 'bar', 'baw' )
ds.GetRasterBand(1).SetMetadata( { 'bar':'baz' } )
ds.GetRasterBand(1).SetDescription('desc')
ds.GetRasterBand(2).SetMetadata( { 'LAYER_TYPE' : 'any_string_that_is_not_athematic_is_thematic' } )
ds.GetRasterBand(3).SetMetadata( { 'LAYER_TYPE' : 'athematic' } )
ds.GetRasterBand(4).SetMetadataItem( 'LAYER_TYPE', 'thematic' )
ds.GetRasterBand(5).SetMetadataItem( 'LAYER_TYPE', 'athematic' )
if ds.SetMetadata( { 'foo':'bar' }, 'other_domain' ) == 0:
gdaltest.post_reason('fail')
return 'fail'
if ds.SetMetadataItem( 'foo', 'bar', 'other_domain' ) == 0:
gdaltest.post_reason('fail')
return 'fail'
if ds.GetRasterBand(1).SetMetadata( { 'foo':'bar' }, 'other_domain' ) == 0:
gdaltest.post_reason('fail')
return 'fail'
if ds.GetRasterBand(1).SetMetadataItem( 'foo', 'bar', 'other_domain' ) == 0:
gdaltest.post_reason('fail')
return 'fail'
ds = None
ds = gdal.Open('tmp/out.kea')
if ds.GetMetadata('other_domain') != {}:
gdaltest.post_reason('fail')
print(ds.GetMetadata('other_domain'))
return 'fail'
if ds.GetMetadataItem('item', 'other_domain') is not None:
gdaltest.post_reason('fail')
return 'fail'
if ds.GetRasterBand(1).GetMetadata('other_domain') != {}:
gdaltest.post_reason('fail')
return 'fail'
if ds.GetRasterBand(1).GetMetadataItem('item', 'other_domain') is not None:
gdaltest.post_reason('fail')
return 'fail'
md = ds.GetMetadata()
if md['foo'] != 'bar':
gdaltest.post_reason('fail')
print(md)
return 'failure'
if ds.GetMetadataItem('foo') != 'bar':
gdaltest.post_reason('fail')
print(ds.GetMetadataItem('foo'))
return 'failure'
if ds.GetMetadataItem('bar') != 'baw':
gdaltest.post_reason('fail')
print(ds.GetMetadataItem('bar'))
return 'failure'
if ds.GetRasterBand(1).GetDescription() != 'desc':
gdaltest.post_reason('fail')
return 'failure'
md = ds.GetRasterBand(1).GetMetadata()
if md['bar'] != 'baz':
gdaltest.post_reason('fail')
print(md)
return 'failure'
if ds.GetRasterBand(1).GetMetadataItem('bar') != 'baz':
gdaltest.post_reason('fail')
print(ds.GetRasterBand(1).GetMetadataItem('bar'))
return 'failure'
if ds.GetRasterBand(2).GetMetadataItem('LAYER_TYPE') != 'thematic':
gdaltest.post_reason('fail')
print(ds.GetRasterBand(2).GetMetadataItem('LAYER_TYPE'))
return 'failure'
if ds.GetRasterBand(3).GetMetadataItem('LAYER_TYPE') != 'athematic':
gdaltest.post_reason('fail')
print(ds.GetRasterBand(3).GetMetadataItem('LAYER_TYPE'))
return 'failure'
if ds.GetRasterBand(4).GetMetadataItem('LAYER_TYPE') != 'thematic':
gdaltest.post_reason('fail')
print(ds.GetRasterBand(4).GetMetadataItem('LAYER_TYPE'))
return 'failure'
if ds.GetRasterBand(5).GetMetadataItem('LAYER_TYPE') != 'athematic':
gdaltest.post_reason('fail')
print(ds.GetRasterBand(5).GetMetadataItem('LAYER_TYPE'))
return 'failure'
out2_ds = gdaltest.kea_driver.CreateCopy('tmp/out2.kea', ds)
ds = None
if out2_ds.GetMetadataItem('foo') != 'bar':
gdaltest.post_reason('fail')
print(out2_ds.GetMetadataItem('foo'))
return 'failure'
if out2_ds.GetRasterBand(1).GetMetadataItem('bar') != 'baz':
gdaltest.post_reason('fail')
print(out2_ds.GetRasterBand(1).GetMetadataItem('bar'))
return 'failure'
out2_ds = None
gdaltest.kea_driver.Delete('tmp/out.kea')
gdaltest.kea_driver.Delete('tmp/out2.kea')
return 'success'
###############################################################################
# Test georef
def kea_7():
if gdaltest.kea_driver is None:
return 'skip'
# Geotransform
ds = gdaltest.kea_driver.Create("tmp/out.kea", 1, 1)
if ds.GetGCPCount() != 0:
gdaltest.post_reason('fail')
return 'failure'
if ds.SetGeoTransform([1,2,3,4,5,6]) != 0:
gdaltest.post_reason('fail')
return 'failure'
if ds.SetProjection('foo') != 0:
gdaltest.post_reason('fail')
return 'failure'
ds = None
ds = gdal.Open('tmp/out.kea')
out2_ds = gdaltest.kea_driver.CreateCopy('tmp/out2.kea', ds)
ds = None
if out2_ds.GetGCPCount() != 0:
gdaltest.post_reason('fail')
return 'failure'
if out2_ds.GetGeoTransform() != (1,2,3,4,5,6):
gdaltest.post_reason('fail')
print(out2_ds.GetGeoTransform())
return 'failure'
if out2_ds.GetProjectionRef() != 'foo':
gdaltest.post_reason('fail')
print(out2_ds.GetProjectionRef())
return 'failure'
out2_ds = None
gdaltest.kea_driver.Delete('tmp/out.kea')
gdaltest.kea_driver.Delete('tmp/out2.kea')
# GCP
ds = gdaltest.kea_driver.Create("tmp/out.kea", 1, 1)
gcp1 = gdal.GCP(0,1,2,3,4)
gcp1.Id = "id"
gcp1.Info = "info"
gcp2 = gdal.GCP(0,1,2,3,4)
gcps = [ gcp1, gcp2 ]
ds.SetGCPs(gcps, "foo")
ds = None
ds = gdal.Open('tmp/out.kea')
out2_ds = gdaltest.kea_driver.CreateCopy('tmp/out2.kea', ds)
ds = None
if out2_ds.GetGCPCount() != 2:
gdaltest.post_reason('fail')
return 'failure'
if out2_ds.GetGCPProjection() != 'foo':
gdaltest.post_reason('fail')
return 'failure'
got_gcps = out2_ds.GetGCPs()
for i in range(2):
if got_gcps[i].GCPX != gcps[i].GCPX or got_gcps[i].GCPY != gcps[i].GCPY or \
got_gcps[i].GCPZ != gcps[i].GCPZ or got_gcps[i].GCPPixel != gcps[i].GCPPixel or \
got_gcps[i].GCPLine != gcps[i].GCPLine or got_gcps[i].Id != gcps[i].Id or \
got_gcps[i].Info != gcps[i].Info:
print(i)
print(got_gcps[i])
gdaltest.post_reason('fail')
return 'failure'
out2_ds = None
gdaltest.kea_driver.Delete('tmp/out.kea')
gdaltest.kea_driver.Delete('tmp/out2.kea')
return 'success'
###############################################################################
# Test colortable
def kea_8():
if gdaltest.kea_driver is None:
return 'skip'
for i in range(2):
ds = gdaltest.kea_driver.Create("tmp/out.kea", 1, 1)
if ds.GetRasterBand(1).GetColorTable() is not None:
gdaltest.post_reason('fail')
return 'fail'
if ds.GetRasterBand(1).SetColorTable( None ) == 0: # not allowed by the driver
gdaltest.post_reason('fail')
return 'fail'
ct = gdal.ColorTable()
ct.SetColorEntry( 0, (0,255,0,255) )
ct.SetColorEntry( 1, (255,0,255,255) )
ct.SetColorEntry( 2, (0,0,255,255) )
if ds.GetRasterBand(1).SetColorTable( ct ) != 0:
gdaltest.post_reason('fail')
return 'fail'
if i == 1:
# And again
if ds.GetRasterBand(1).SetColorTable( ct ) != 0:
gdaltest.post_reason('fail')
return 'fail'
ds = None
ds = gdal.Open('tmp/out.kea')
out2_ds = gdaltest.kea_driver.CreateCopy('tmp/out2.kea', ds)
ds = None
got_ct = out2_ds.GetRasterBand(1).GetColorTable()
if got_ct.GetCount() != 3:
gdaltest.post_reason( 'Got wrong color table entry count.' )
return 'fail'
if got_ct.GetColorEntry(1) != (255,0,255,255):
gdaltest.post_reason( 'Got wrong color table entry.' )
return 'fail'
out2_ds = None
gdaltest.kea_driver.Delete('tmp/out.kea')
gdaltest.kea_driver.Delete('tmp/out2.kea')
return 'success'
###############################################################################
# Test color interpretation
def kea_9():
if gdaltest.kea_driver is None:
return 'skip'
ds = gdaltest.kea_driver.Create("tmp/out.kea", 1, 1, gdal.GCI_YCbCr_CrBand - gdal.GCI_GrayIndex + 1)
if ds.GetRasterBand(1).GetColorInterpretation() != gdal.GCI_GrayIndex:
gdaltest.post_reason('fail')
return 'fail'
for i in range(gdal.GCI_GrayIndex, gdal.GCI_YCbCr_CrBand + 1):
ds.GetRasterBand(i).SetColorInterpretation(i)
ds = None
ds = gdal.Open('tmp/out.kea')
out2_ds = gdaltest.kea_driver.CreateCopy('tmp/out2.kea', ds)
ds = None
for i in range(gdal.GCI_GrayIndex, gdal.GCI_YCbCr_CrBand + 1):
if out2_ds.GetRasterBand(i).GetColorInterpretation() != i:
gdaltest.post_reason( 'Got wrong color interpreation.' )
print(i)
print(out2_ds.GetRasterBand(i).GetColorInterpretation())
return 'fail'
out2_ds = None
gdaltest.kea_driver.Delete('tmp/out.kea')
gdaltest.kea_driver.Delete('tmp/out2.kea')
return 'success'
###############################################################################
# Test nodata
def kea_10():
if gdaltest.kea_driver is None:
return 'skip'
for (dt,nd,expected_nd) in [ (gdal.GDT_Byte,0,0),
(gdal.GDT_Byte,1.1,1.0),
(gdal.GDT_Byte,255,255),
(gdal.GDT_Byte,-1,None),
(gdal.GDT_Byte,256,None),
(gdal.GDT_UInt16,0,0),
(gdal.GDT_UInt16,65535,65535),
(gdal.GDT_UInt16,-1,None),
(gdal.GDT_UInt16,65536,None),
(gdal.GDT_Int16,-32768,-32768),
(gdal.GDT_Int16,32767,32767),
(gdal.GDT_Int16,-32769,None),
(gdal.GDT_Int16,32768,None),
(gdal.GDT_UInt32,0,0),
(gdal.GDT_UInt32,0xFFFFFFFF,0xFFFFFFFF),
(gdal.GDT_UInt32,-1,None),
(gdal.GDT_UInt32,0xFFFFFFFF+1,None),
(gdal.GDT_Int32,-2147483648,-2147483648),
(gdal.GDT_Int32,2147483647,2147483647),
(gdal.GDT_Int32,-2147483649,None),
(gdal.GDT_Int32,2147483648,None),
(gdal.GDT_Float32,0.5,0.5),
]:
ds = gdaltest.kea_driver.Create("tmp/out.kea", 1, 1, 1, dt)
if ds.GetRasterBand(1).GetNoDataValue() is not None:
gdaltest.post_reason('fail')
return 'fail'
ds.GetRasterBand(1).SetNoDataValue(nd)
if ds.GetRasterBand(1).GetNoDataValue() != expected_nd:
gdaltest.post_reason( 'Got wrong nodata.' )
print(dt)
print(ds.GetRasterBand(1).GetNoDataValue())
return 'fail'
ds = None
ds = gdal.Open('tmp/out.kea')
out2_ds = gdaltest.kea_driver.CreateCopy('tmp/out2.kea', ds)
ds = None
if out2_ds.GetRasterBand(1).GetNoDataValue() != expected_nd:
gdaltest.post_reason( 'Got wrong nodata.' )
print(dt)
print(out2_ds.GetRasterBand(1).GetNoDataValue())
return 'fail'
out2_ds = None
gdaltest.kea_driver.Delete('tmp/out.kea')
gdaltest.kea_driver.Delete('tmp/out2.kea')
return 'success'
###############################################################################
# Test AddBand
def kea_11():
if gdaltest.kea_driver is None:
return 'skip'
ds = gdaltest.kea_driver.Create("tmp/out.kea", 1, 1, 1, gdal.GDT_Byte)
ds = None
ds = gdal.Open('tmp/out.kea', gdal.GA_Update)
if ds.AddBand(gdal.GDT_Byte) != 0:
gdaltest.post_reason('fail')
return 'fail'
if ds.AddBand(gdal.GDT_Int16, options = ['DEFLATE=9']) != 0:
gdaltest.post_reason('fail')
return 'fail'
ds = None
ds = gdal.Open('tmp/out.kea')
if ds.RasterCount != 3:
gdaltest.post_reason('fail')
return 'fail'
if ds.GetRasterBand(2).DataType != gdal.GDT_Byte:
gdaltest.post_reason('fail')
return 'fail'
if ds.GetRasterBand(3).DataType != gdal.GDT_Int16:
gdaltest.post_reason('fail')
return 'fail'
ds = None
gdaltest.kea_driver.Delete('tmp/out.kea')
return 'success'
###############################################################################
# Test RAT
def kea_12():
if gdaltest.kea_driver is None:
return 'skip'
ds = gdaltest.kea_driver.Create("tmp/out.kea", 1, 1, 1, gdal.GDT_Byte)
if ds.GetRasterBand(1).GetDefaultRAT().GetColumnCount() != 0:
gdaltest.post_reason('fail')
return 'fail'
if ds.GetRasterBand(1).SetDefaultRAT( None ) == 0: # not allowed by the driver
gdaltest.post_reason('fail')
return 'fail'
rat = ds.GetRasterBand(1).GetDefaultRAT()
rat.CreateColumn('col_real_generic', gdal.GFT_Real, gdal.GFU_Generic)
if ds.GetRasterBand(1).SetDefaultRAT( rat ) != 0:
gdaltest.post_reason('fail')
return 'fail'
rat = ds.GetRasterBand(1).GetDefaultRAT()
rat.CreateColumn('col_integer_pixelcount', gdal.GFT_Real, gdal.GFU_PixelCount)
rat.CreateColumn('col_string_name', gdal.GFT_String, gdal.GFU_Name)
rat.CreateColumn('col_integer_red', gdal.GFT_Integer, gdal.GFU_Red)
rat.CreateColumn('col_integer_green', gdal.GFT_Integer, gdal.GFU_Green)
rat.CreateColumn('col_integer_blue', gdal.GFT_Integer, gdal.GFU_Blue)
rat.CreateColumn('col_integer_alpha', gdal.GFT_Integer, gdal.GFU_Alpha)
rat.SetRowCount(1)
rat.SetValueAsString(0,0,"1.23")
rat.SetValueAsInt(0,0,1)
rat.SetValueAsDouble(0,0,1.23)
rat.SetValueAsInt(0,2,0)
rat.SetValueAsDouble(0,2,0)
rat.SetValueAsString(0,2,'foo')
rat.SetValueAsString(0,3,"123")
rat.SetValueAsDouble(0,3,123)
rat.SetValueAsInt(0,3,123)
cloned_rat = rat.Clone()
if ds.GetRasterBand(1).SetDefaultRAT( rat ) != 0:
gdaltest.post_reason('fail')
return 'fail'
ds = None
ds = gdal.Open('tmp/out.kea')
out2_ds = gdaltest.kea_driver.CreateCopy('tmp/out2.kea', ds)
rat = out2_ds.GetRasterBand(1).GetDefaultRAT()
for i in range(7):
if rat.GetColOfUsage(rat.GetUsageOfCol(i)) != i:
gdaltest.post_reason('fail')
print(i)
print(rat.GetColOfUsage(rat.GetUsageOfCol(i)))
return 'fail'
if cloned_rat.GetNameOfCol(0) != 'col_real_generic':
gdaltest.post_reason('fail')
return 'fail'
if cloned_rat.GetTypeOfCol(0) != gdal.GFT_Real:
gdaltest.post_reason('fail')
return 'fail'
if cloned_rat.GetUsageOfCol(0) != gdal.GFU_Generic:
gdaltest.post_reason('fail')
return 'fail'
if cloned_rat.GetUsageOfCol(1) != gdal.GFU_PixelCount:
gdaltest.post_reason('fail')
return 'fail'
if cloned_rat.GetTypeOfCol(2) != gdal.GFT_String:
gdaltest.post_reason('fail')
return 'fail'
if cloned_rat.GetTypeOfCol(3) != gdal.GFT_Integer:
gdaltest.post_reason('fail')
return 'fail'
if rat.GetColumnCount() != cloned_rat.GetColumnCount():
gdaltest.post_reason('fail')
return 'fail'
if rat.GetRowCount() != cloned_rat.GetRowCount():
gdaltest.post_reason('fail')
return 'fail'
for i in range(rat.GetColumnCount()):
if rat.GetNameOfCol(i) != cloned_rat.GetNameOfCol(i):
gdaltest.post_reason('fail')
return 'fail'
if rat.GetTypeOfCol(i) != cloned_rat.GetTypeOfCol(i):
gdaltest.post_reason('fail')
return 'fail'
if rat.GetUsageOfCol(i) != cloned_rat.GetUsageOfCol(i):
gdaltest.post_reason('fail')
print(i)
print(rat.GetUsageOfCol(i))
print(cloned_rat.GetUsageOfCol(i))
return 'fail'
gdal.PushErrorHandler('CPLQuietErrorHandler')
rat.GetNameOfCol(-1)
rat.GetTypeOfCol(-1)
rat.GetUsageOfCol(-1)
rat.GetNameOfCol(rat.GetColumnCount())
rat.GetTypeOfCol(rat.GetColumnCount())
rat.GetUsageOfCol(rat.GetColumnCount())
rat.GetValueAsDouble( -1, 0 )
rat.GetValueAsInt( -1, 0 )
rat.GetValueAsString( -1, 0 )
rat.GetValueAsDouble( rat.GetColumnCount(), 0 )
rat.GetValueAsInt( rat.GetColumnCount(), 0 )
rat.GetValueAsString( rat.GetColumnCount(), 0 )
rat.GetValueAsDouble( 0, -1 )
rat.GetValueAsInt( 0, -1 )
rat.GetValueAsString( 0, -1 )
rat.GetValueAsDouble( 0, rat.GetRowCount() )
rat.GetValueAsInt( 0, rat.GetRowCount() )
rat.GetValueAsString( 0, rat.GetRowCount() )
gdal.PopErrorHandler()
if rat.GetValueAsDouble( 0, 0 ) != 1.23:
gdaltest.post_reason('fail')
return 'fail'
if rat.GetValueAsInt( 0, 0 ) != 1:
gdaltest.post_reason('fail')
return 'fail'
if rat.GetValueAsString( 0, 0 ) != '1.23':
gdaltest.post_reason('fail')
print(rat.GetValueAsString( 0, 0 ))
return 'fail'
if rat.GetValueAsInt( 0, 3 ) != 123:
gdaltest.post_reason('fail')
return 'fail'
if rat.GetValueAsDouble( 0, 3 ) != 123:
gdaltest.post_reason('fail')
return 'fail'
if rat.GetValueAsString( 0, 3 ) != '123':
gdaltest.post_reason('fail')
return 'fail'
if rat.GetValueAsString( 0, 2 ) != 'foo':
gdaltest.post_reason('fail')
return 'fail'
if rat.GetValueAsInt( 0, 2 ) != 0:
gdaltest.post_reason('fail')
return 'fail'
if rat.GetValueAsDouble( 0, 2 ) != 0:
gdaltest.post_reason('fail')
return 'fail'
ds = None
out2_ds = None
gdaltest.kea_driver.Delete('tmp/out.kea')
gdaltest.kea_driver.Delete('tmp/out2.kea')
return 'success'
###############################################################################
# Test overviews
def kea_13():
if gdaltest.kea_driver is None:
return 'skip'
src_ds = gdal.Open('data/byte.tif')
ds = gdaltest.kea_driver.CreateCopy("tmp/out.kea", src_ds)
src_ds = None
ds.BuildOverviews('NEAR', [2])
ds = None
ds = gdal.Open('tmp/out.kea')
out2_ds = gdaltest.kea_driver.CreateCopy('tmp/out2.kea', ds) # yes CreateCopy() of KEA copies overviews
if out2_ds.GetRasterBand(1).GetOverviewCount() != 1:
gdaltest.post_reason('fail')
return 'fail'
if out2_ds.GetRasterBand(1).GetOverview(0).Checksum() != 1087:
gdaltest.post_reason('fail')
return 'fail'
if out2_ds.GetRasterBand(1).GetOverview(0).GetDefaultRAT() is not None:
gdaltest.post_reason('fail')
return 'fail'
if out2_ds.GetRasterBand(1).GetOverview(0).SetDefaultRAT(None) == 0:
gdaltest.post_reason('fail')
return 'fail'
if out2_ds.GetRasterBand(1).GetOverview(-1) is not None:
gdaltest.post_reason('fail')
return 'fail'
if out2_ds.GetRasterBand(1).GetOverview(1) is not None:
gdaltest.post_reason('fail')
return 'fail'
out2_ds = None
ds = None
gdaltest.kea_driver.Delete('tmp/out.kea')
gdaltest.kea_driver.Delete('tmp/out2.kea')
return 'success'
###############################################################################
# Test mask bands
def kea_14():
if gdaltest.kea_driver is None:
return 'skip'
ds = gdaltest.kea_driver.Create("tmp/out.kea", 1, 1, 1, gdal.GDT_Byte)
if ds.GetRasterBand(1).GetMaskFlags() != gdal.GMF_ALL_VALID:
gdaltest.post_reason('fail')
return 'fail'
if ds.GetRasterBand(1).GetMaskBand().Checksum() != 3:
print(ds.GetRasterBand(1).GetMaskBand().Checksum())
gdaltest.post_reason('fail')
return 'fail'
ds.GetRasterBand(1).CreateMaskBand(0)
if ds.GetRasterBand(1).GetMaskFlags() != 0:
gdaltest.post_reason('fail')
return 'fail'
if ds.GetRasterBand(1).GetMaskBand().Checksum() != 3:
print(ds.GetRasterBand(1).GetMaskBand().Checksum())
gdaltest.post_reason('fail')
return 'fail'
ds.GetRasterBand(1).GetMaskBand().Fill(0)
if ds.GetRasterBand(1).GetMaskBand().Checksum() != 0:
print(ds.GetRasterBand(1).GetMaskBand().Checksum())
gdaltest.post_reason('fail')
return 'fail'
ds = None
ds = gdal.Open('tmp/out.kea')
out2_ds = gdaltest.kea_driver.CreateCopy('tmp/out2.kea', ds) # yes CreateCopy() of KEA copies overviews
if out2_ds.GetRasterBand(1).GetMaskFlags() != 0:
gdaltest.post_reason('fail')
return 'fail'
if out2_ds.GetRasterBand(1).GetMaskBand().Checksum() != 0:
print(out2_ds.GetRasterBand(1).GetMaskBand().Checksum())
gdaltest.post_reason('fail')
return 'fail'
out2_ds = None
ds = None
gdaltest.kea_driver.Delete('tmp/out.kea')
gdaltest.kea_driver.Delete('tmp/out2.kea')
return 'success'
gdaltest_list = [
kea_init,
kea_1,
kea_2,
kea_3,
kea_4,
kea_5,
kea_6,
kea_7,
kea_8,
kea_9,
kea_10,
kea_11,
kea_12,
kea_13,
kea_14
]
if __name__ == '__main__':
gdaltest.setup_run( 'kea' )
gdaltest.run_tests( gdaltest_list )
gdaltest.summarize()
| [
"[email protected]"
] | |
4c8a5ec0a1babe7f7faaccd7a56cf6452644aa9e | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02783/s364760222.py | 56095ba287f4d078faedb65eb7b8df8402523e7c | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,012 | py | import sys
#import string
#from collections import defaultdict, deque, Counter
#import bisect
#import heapq
#import math
#from itertools import accumulate
#from itertools import permutations as perm
#from itertools import combinations as comb
#from itertools import combinations_with_replacement as combr
#from fractions import gcd
#import numpy as np
stdin = sys.stdin
sys.setrecursionlimit(10 ** 7)
MIN = -10 ** 9
MOD = 10 ** 9 + 7
INF = float("inf")
IINF = 10 ** 18
def solve():
#n = int(stdin.readline().rstrip())
h,a = map(int, stdin.readline().rstrip().split())
#l = list(map(int, stdin.readline().rstrip().split()))
#numbers = [[int(c) for c in l.strip().split()] for l in sys.stdin]
#word = [stdin.readline().rstrip() for _ in range(n)]
#number = [[int(c) for c in stdin.readline().rstrip()] for _ in range(n)]
#zeros = [[0] * w for i in range(h)]
ans = h // a
if h%a == 0:
print(ans)
else:
print(ans + 1)
if __name__ == '__main__':
solve()
| [
"[email protected]"
] | |
8f1a6d780bd0edce2d520e13dad88a8227254da9 | 80d50ea48e10674b1b7d3f583a1c4b7d0b01200f | /src/datadog_api_client/v2/model/confluent_account_resource_attributes.py | 17ce380b94bbc1ddf35e1700b093ca27a39b4d1d | [
"Apache-2.0",
"BSD-3-Clause",
"MIT",
"MPL-2.0"
] | permissive | DataDog/datadog-api-client-python | 3e01fa630278ad0b5c7005f08b7f61d07aa87345 | 392de360e7de659ee25e4a6753706820ca7c6a92 | refs/heads/master | 2023-09-01T20:32:37.718187 | 2023-09-01T14:42:04 | 2023-09-01T14:42:04 | 193,793,657 | 82 | 36 | Apache-2.0 | 2023-09-14T18:22:39 | 2019-06-25T22:52:04 | Python | UTF-8 | Python | false | false | 2,096 | py | # Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2019-Present Datadog, Inc.
from __future__ import annotations
from typing import List, Union
from datadog_api_client.model_utils import (
ModelNormal,
cached_property,
unset,
UnsetType,
)
class ConfluentAccountResourceAttributes(ModelNormal):
@cached_property
def openapi_types(_):
return {
"enable_custom_metrics": (bool,),
"id": (str,),
"resource_type": (str,),
"tags": ([str],),
}
attribute_map = {
"enable_custom_metrics": "enable_custom_metrics",
"id": "id",
"resource_type": "resource_type",
"tags": "tags",
}
def __init__(
self_,
resource_type: str,
enable_custom_metrics: Union[bool, UnsetType] = unset,
id: Union[str, UnsetType] = unset,
tags: Union[List[str], UnsetType] = unset,
**kwargs,
):
"""
Attributes object for updating a Confluent resource.
:param enable_custom_metrics: Enable the ``custom.consumer_lag_offset`` metric, which contains extra metric tags.
:type enable_custom_metrics: bool, optional
:param id: The ID associated with a Confluent resource.
:type id: str, optional
:param resource_type: The resource type of the Resource. Can be ``kafka`` , ``connector`` , ``ksql`` , or ``schema_registry``.
:type resource_type: str
:param tags: A list of strings representing tags. Can be a single key, or key-value pairs separated by a colon.
:type tags: [str], optional
"""
if enable_custom_metrics is not unset:
kwargs["enable_custom_metrics"] = enable_custom_metrics
if id is not unset:
kwargs["id"] = id
if tags is not unset:
kwargs["tags"] = tags
super().__init__(kwargs)
self_.resource_type = resource_type
| [
"[email protected]"
] | |
66491e93bac49e0f9d5e1cb7578aace7fd501279 | 7694af8a805b20f2d9f435b381d8cb5e59bffa50 | /apps/landing/templatetags/cart_template_tags.py | c7596e8ad09f84ee8777f8d9a432df147b2dd23a | [] | no_license | RympeR/dindex_landing | b0e1115a7009e25072369077a6854b93f1111054 | cb422bb148a2b5793e0ba13c9525dd0fd64a6f09 | refs/heads/main | 2023-06-23T20:16:14.908847 | 2021-07-22T14:05:29 | 2021-07-22T14:05:29 | 380,458,484 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 119 | py | from django import template
register = template.Library()
@register.filter
def post_categories(value):
return 0
| [
"[email protected]"
] | |
fe5bc6143a588be282570b8bc834be40068790f1 | e3365bc8fa7da2753c248c2b8a5c5e16aef84d9f | /indices/nnn1329.py | dd7710a727f8089d0e50e81562f7df4f484b794b | [] | no_license | psdh/WhatsintheVector | e8aabacc054a88b4cb25303548980af9a10c12a8 | a24168d068d9c69dc7a0fd13f606c080ae82e2a6 | refs/heads/master | 2021-01-25T10:34:22.651619 | 2015-09-23T11:54:06 | 2015-09-23T11:54:06 | 42,749,205 | 2 | 3 | null | 2015-09-23T11:54:07 | 2015-09-18T22:06:38 | Python | UTF-8 | Python | false | false | 121 | py | ii = [('UnitAI.py', 1), ('FitzRNS3.py', 1), ('DaltJMA.py', 1), ('WheeJPT.py', 1), ('MereHHB3.py', 1), ('MereHHB2.py', 2)] | [
"[email protected]"
] | |
5a0d3f5f22f67c39c6323697a44bd6491d06ab42 | a5455dbb01687ab031f6347306dbb5ccc3c0c162 | /第一阶段/day13/code/mymod3.py | bb84da638d9bdc4dc9f09578b20fc403ed12fb85 | [] | no_license | zuobing1995/tiantianguoyuan | 9ff67aef6d916e27d92b63f812c96a6d5dbee6f8 | 29af861f5edf74a4a1a4156153678b226719c56d | refs/heads/master | 2022-11-22T06:50:13.818113 | 2018-11-06T04:52:53 | 2018-11-06T04:52:53 | 156,317,754 | 1 | 1 | null | 2022-11-22T01:06:37 | 2018-11-06T03:02:51 | Python | UTF-8 | Python | false | false | 156 | py | # mymod3.py
# 此模块示意模块的隐藏属性
def f1():
pass
def _f2():
pass
def __f3():
pass
name1 = "abc"
_name2 = '123'
| [
"[email protected]"
] | |
ee413656c69701681e6825f68e0cd9d3ab01a601 | 5f885e38973c4eddd6f086cbc7463de56fe1edab | /rotkehlchen/exchanges/bittrex.py | 1f4f76b8e4842a5a53cce1dfab102cd03bd98952 | [
"BSD-3-Clause"
] | permissive | hjorthjort/rotki | 8922372e2f1ce5bf5fab3a68f0362b50a952af81 | 5bd4cdf0c756873b41999ced6d5fd7383fb75963 | refs/heads/master | 2021-03-24T00:14:56.421344 | 2020-03-10T12:26:16 | 2020-03-10T13:43:15 | 247,496,415 | 0 | 0 | BSD-3-Clause | 2020-03-15T15:39:52 | 2020-03-15T15:39:52 | null | UTF-8 | Python | false | false | 15,927 | py | import hashlib
import hmac
import logging
import time
from json.decoder import JSONDecodeError
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union, overload
from urllib.parse import urlencode
from typing_extensions import Literal
from rotkehlchen.assets.asset import Asset
from rotkehlchen.assets.converters import asset_from_bittrex
from rotkehlchen.constants.misc import ZERO
from rotkehlchen.errors import (
DeserializationError,
RemoteError,
UnknownAsset,
UnprocessableTradePair,
UnsupportedAsset,
)
from rotkehlchen.exchanges.data_structures import (
AssetMovement,
Trade,
get_pair_position_asset,
trade_pair_from_assets,
)
from rotkehlchen.exchanges.exchange import ExchangeInterface
from rotkehlchen.fval import FVal
from rotkehlchen.inquirer import Inquirer
from rotkehlchen.logging import RotkehlchenLogsAdapter
from rotkehlchen.serialization.deserialize import (
deserialize_asset_amount,
deserialize_fee,
deserialize_price,
deserialize_timestamp_from_bittrex_date,
deserialize_trade_type,
get_pair_position_str,
pair_get_assets,
)
from rotkehlchen.typing import (
ApiKey,
ApiSecret,
AssetMovementCategory,
Fee,
Location,
Timestamp,
TradePair,
)
from rotkehlchen.user_messages import MessagesAggregator
from rotkehlchen.utils.interfaces import cache_response_timewise, protect_with_lock
from rotkehlchen.utils.serialization import rlk_jsonloads_dict
if TYPE_CHECKING:
from rotkehlchen.db.dbhandler import DBHandler
logger = logging.getLogger(__name__)
log = RotkehlchenLogsAdapter(logger)
BITTREX_MARKET_METHODS = {
'getopenorders',
'cancel',
'sellmarket',
'selllimit',
'buymarket',
'buylimit',
}
BITTREX_ACCOUNT_METHODS = {
'getbalances',
'getbalance',
'getdepositaddress',
'withdraw',
'getorderhistory',
'getdeposithistory',
'getwithdrawalhistory',
}
BittrexListReturnMethod = Literal[
'getcurrencies',
'getorderhistory',
'getbalances',
'getdeposithistory',
'getwithdrawalhistory',
]
def bittrex_pair_to_world(given_pair: str) -> TradePair:
"""
Turns a pair written in the bittrex way to Rotkehlchen way
Throws:
- UnsupportedAsset due to asset_from_bittrex()
- UnprocessableTradePair if the pair can't be split into its parts
"""
if not isinstance(given_pair, str):
raise DeserializationError(
f'Could not deserialize bittrex trade pair. Expected a string '
f'but found {type(given_pair)}',
)
pair = TradePair(given_pair.replace('-', '_'))
base_currency = asset_from_bittrex(get_pair_position_str(pair, 'first'))
quote_currency = asset_from_bittrex(get_pair_position_str(pair, 'second'))
# Since in Bittrex the base currency is the cost currency, iow in Bittrex
# for BTC_ETH we buy ETH with BTC and sell ETH for BTC, we need to turn it
# into the Rotkehlchen way which is following the base/quote approach.
pair = trade_pair_from_assets(quote_currency, base_currency)
return pair
def world_pair_to_bittrex(pair: TradePair) -> str:
"""Turns a rotkehlchen pair to a bittrex pair"""
base_asset, quote_asset = pair_get_assets(pair)
base_asset_str = base_asset.to_bittrex()
quote_asset_str = quote_asset.to_bittrex()
# In bittrex the pairs are inverted and use '-'
return f'{quote_asset_str}-{base_asset_str}'
def trade_from_bittrex(bittrex_trade: Dict[str, Any]) -> Trade:
"""Turn a bittrex trade returned from bittrex trade history to our common trade
history format
Throws:
- UnknownAsset/UnsupportedAsset due to bittrex_pair_to_world()
- DeserializationError due to unexpected format of dict entries
- KeyError due to dict entries missing an expected entry
"""
amount = (
deserialize_asset_amount(bittrex_trade['Quantity']) -
deserialize_asset_amount(bittrex_trade['QuantityRemaining'])
)
timestamp = deserialize_timestamp_from_bittrex_date(bittrex_trade['TimeStamp'])
rate = deserialize_price(bittrex_trade['PricePerUnit'])
order_type = deserialize_trade_type(bittrex_trade['OrderType'])
bittrex_price = deserialize_price(bittrex_trade['Price'])
fee = deserialize_fee(bittrex_trade['Commission'])
pair = bittrex_pair_to_world(bittrex_trade['Exchange'])
quote_currency = get_pair_position_asset(pair, 'second')
log.debug(
'Processing bittrex Trade',
sensitive_log=True,
amount=amount,
rate=rate,
order_type=order_type,
price=bittrex_price,
fee=fee,
bittrex_pair=bittrex_trade['Exchange'],
pair=pair,
)
return Trade(
timestamp=timestamp,
location=Location.BITTREX,
pair=pair,
trade_type=order_type,
amount=amount,
rate=rate,
fee=fee,
fee_currency=quote_currency,
link=str(bittrex_trade['OrderUuid']),
)
class Bittrex(ExchangeInterface):
def __init__(
self,
api_key: ApiKey,
secret: ApiSecret,
database: 'DBHandler',
msg_aggregator: MessagesAggregator,
):
super(Bittrex, self).__init__('bittrex', api_key, secret, database)
self.apiversion = 'v1.1'
self.uri = 'https://bittrex.com/api/{}/'.format(self.apiversion)
self.msg_aggregator = msg_aggregator
def first_connection(self) -> None:
self.first_connection_made = True
def validate_api_key(self) -> Tuple[bool, str]:
try:
self.api_query('getbalance', {'currency': 'BTC'})
except ValueError as e:
error = str(e)
if error == 'APIKEY_INVALID':
return False, 'Provided API Key is invalid'
elif error == 'INVALID_SIGNATURE':
return False, 'Provided API Secret is invalid'
else:
raise
return True, ''
@overload
def api_query( # pylint: disable=unused-argument, no-self-use
self,
method: BittrexListReturnMethod,
options: Optional[Dict[str, Any]] = None,
) -> List[Dict[str, Any]]:
...
@overload # noqa: F811
def api_query( # noqa: F811 # pylint: disable=unused-argument, no-self-use
self,
method: Literal['getbalance'],
options: Optional[Dict[str, Any]] = None,
) -> Dict[str, Any]:
...
@overload # noqa: F811
def api_query( # noqa: F811 # pylint: disable=unused-argument, no-self-use
self,
method: str,
options: Optional[Dict[str, Any]] = None,
) -> Union[List[Dict[str, Any]], Dict[str, Any]]:
...
def api_query( # noqa: F811
self,
method: str,
options: Optional[Dict[str, Any]] = None,
) -> Union[List[Dict[str, Any]], Dict[str, Any]]:
"""
Queries Bittrex with given method and options
"""
if not options:
options = {}
nonce = str(int(time.time() * 1000))
method_type = 'public'
if method in BITTREX_MARKET_METHODS:
method_type = 'market'
elif method in BITTREX_ACCOUNT_METHODS:
method_type = 'account'
request_url = self.uri + method_type + '/' + method + '?'
if method_type != 'public':
request_url += 'apikey=' + self.api_key + "&nonce=" + nonce + '&'
request_url += urlencode(options)
signature = hmac.new(
self.secret,
request_url.encode(),
hashlib.sha512,
).hexdigest()
self.session.headers.update({'apisign': signature})
log.debug('Bittrex API query', request_url=request_url)
response = self.session.get(request_url)
if response.status_code != 200:
raise RemoteError(
f'Bittrex query responded with error status code: {response.status_code}'
f' and text: {response.text}',
)
try:
json_ret = rlk_jsonloads_dict(response.text)
except JSONDecodeError:
raise RemoteError(f'Bittrex returned invalid JSON response: {response.text}')
if json_ret['success'] is not True:
raise RemoteError(json_ret['message'])
result = json_ret['result']
assert isinstance(result, dict) or isinstance(result, list)
return result
def get_currencies(self) -> List[Dict[str, Any]]:
"""Gets a list of all currencies supported by Bittrex"""
result = self.api_query('getcurrencies')
return result
@protect_with_lock()
@cache_response_timewise()
def query_balances(self) -> Tuple[Optional[Dict[Asset, Dict[str, Any]]], str]:
try:
resp = self.api_query('getbalances')
except RemoteError as e:
msg = (
'Bittrex API request failed. Could not reach bittrex due '
'to {}'.format(e)
)
log.error(msg)
return None, msg
returned_balances = {}
for entry in resp:
try:
asset = asset_from_bittrex(entry['Currency'])
except UnsupportedAsset as e:
self.msg_aggregator.add_warning(
f'Found unsupported bittrex asset {e.asset_name}. '
f' Ignoring its balance query.',
)
continue
except UnknownAsset as e:
self.msg_aggregator.add_warning(
f'Found unknown bittrex asset {e.asset_name}. '
f' Ignoring its balance query.',
)
continue
except DeserializationError:
self.msg_aggregator.add_error(
f'Found bittrex asset with non-string type {type(entry["Currency"])}'
f' Ignoring its balance query.',
)
continue
try:
usd_price = Inquirer().find_usd_price(asset=asset)
except RemoteError as e:
self.msg_aggregator.add_error(
f'Error processing bittrex balance entry due to inability to '
f'query USD price: {str(e)}. Skipping balance entry',
)
continue
balance = {}
balance['amount'] = FVal(entry['Balance'])
balance['usd_value'] = FVal(balance['amount']) * usd_price
returned_balances[asset] = balance
log.debug(
'bittrex balance query result',
sensitive_log=True,
currency=asset,
amount=balance['amount'],
usd_value=balance['usd_value'],
)
return returned_balances, ''
def query_online_trade_history(
self,
start_ts: Timestamp,
end_ts: Timestamp,
market: Optional[TradePair] = None,
count: Optional[int] = None,
) -> List[Trade]:
options: Dict[str, Union[str, int]] = {}
if market is not None:
options['market'] = world_pair_to_bittrex(market)
if count is not None:
options['count'] = count
raw_data = self.api_query('getorderhistory', options)
log.debug('binance order history result', results_num=len(raw_data))
trades = []
for raw_trade in raw_data:
try:
trade = trade_from_bittrex(raw_trade)
except UnknownAsset as e:
self.msg_aggregator.add_warning(
f'Found bittrex trade with unknown asset '
f'{e.asset_name}. Ignoring it.',
)
continue
except UnsupportedAsset as e:
self.msg_aggregator.add_warning(
f'Found bittrex trade with unsupported asset '
f'{e.asset_name}. Ignoring it.',
)
continue
except UnprocessableTradePair as e:
self.msg_aggregator.add_error(
f'Found bittrex trade with unprocessable pair '
f'{e.pair}. Ignoring it.',
)
continue
except (DeserializationError, KeyError) as e:
msg = str(e)
if isinstance(e, KeyError):
msg = f'Missing key entry for {msg}.'
self.msg_aggregator.add_error(
'Error processing a bittrex trade. Check logs '
'for details. Ignoring it.',
)
log.error(
'Error processing a bittrex trade',
trade=raw_trade,
error=msg,
)
continue
if trade.timestamp < start_ts or trade.timestamp > end_ts:
continue
trades.append(trade)
return trades
def _deserialize_asset_movement(self, raw_data: Dict[str, Any]) -> Optional[AssetMovement]:
"""Processes a single deposit/withdrawal from bittrex and deserializes it
Can log error/warning and return None if something went wrong at deserialization
"""
try:
if 'TxCost' in raw_data:
category = AssetMovementCategory.WITHDRAWAL
date_key = 'Opened'
fee = deserialize_fee(raw_data['TxCost'])
else:
category = AssetMovementCategory.DEPOSIT
date_key = 'LastUpdated'
fee = Fee(ZERO)
timestamp = deserialize_timestamp_from_bittrex_date(raw_data[date_key])
asset = asset_from_bittrex(raw_data['Currency'])
return AssetMovement(
location=Location.BITTREX,
category=category,
timestamp=timestamp,
asset=asset,
amount=deserialize_asset_amount(raw_data['Amount']),
fee_asset=asset,
fee=fee,
link=str(raw_data['TxId']),
)
except UnknownAsset as e:
self.msg_aggregator.add_warning(
f'Found bittrex deposit/withdrawal with unknown asset '
f'{e.asset_name}. Ignoring it.',
)
except UnsupportedAsset as e:
self.msg_aggregator.add_warning(
f'Found bittrex deposit/withdrawal with unsupported asset '
f'{e.asset_name}. Ignoring it.',
)
except (DeserializationError, KeyError) as e:
msg = str(e)
if isinstance(e, KeyError):
msg = f'Missing key entry for {msg}.'
self.msg_aggregator.add_error(
f'Unexpected data encountered during deserialization of a bittrex '
f'asset movement. Check logs for details and open a bug report.',
)
log.error(
f'Unexpected data encountered during deserialization of bittrex '
f'asset_movement {raw_data}. Error was: {str(e)}',
)
return None
def query_online_deposits_withdrawals(
self,
start_ts: Timestamp,
end_ts: Timestamp,
) -> List[AssetMovement]:
raw_data = self.api_query('getdeposithistory')
raw_data.extend(self.api_query('getwithdrawalhistory'))
log.debug('bittrex deposit/withdrawal history result', results_num=len(raw_data))
movements = []
for raw_movement in raw_data:
movement = self._deserialize_asset_movement(raw_movement)
if movement and movement.timestamp >= start_ts and movement.timestamp <= end_ts:
movements.append(movement)
return movements
| [
"[email protected]"
] | |
35c18252ebf33bb45574a6aac18b24612ea99638 | 98efe1aee73bd9fbec640132e6fb2e54ff444904 | /loldib/getratings/models/NA/na_ezreal/na_ezreal_top.py | 9d3af100a74aaa3bca56f5bd36d826514b917710 | [
"Apache-2.0"
] | permissive | koliupy/loldib | be4a1702c26546d6ae1b4a14943a416f73171718 | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | refs/heads/master | 2021-07-04T03:34:43.615423 | 2017-09-21T15:44:10 | 2017-09-21T15:44:10 | 104,359,388 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,545 | py | from getratings.models.ratings import Ratings
class NA_Ezreal_Top_Aatrox(Ratings):
pass
class NA_Ezreal_Top_Ahri(Ratings):
pass
class NA_Ezreal_Top_Akali(Ratings):
pass
class NA_Ezreal_Top_Alistar(Ratings):
pass
class NA_Ezreal_Top_Amumu(Ratings):
pass
class NA_Ezreal_Top_Anivia(Ratings):
pass
class NA_Ezreal_Top_Annie(Ratings):
pass
class NA_Ezreal_Top_Ashe(Ratings):
pass
class NA_Ezreal_Top_AurelionSol(Ratings):
pass
class NA_Ezreal_Top_Azir(Ratings):
pass
class NA_Ezreal_Top_Bard(Ratings):
pass
class NA_Ezreal_Top_Blitzcrank(Ratings):
pass
class NA_Ezreal_Top_Brand(Ratings):
pass
class NA_Ezreal_Top_Braum(Ratings):
pass
class NA_Ezreal_Top_Caitlyn(Ratings):
pass
class NA_Ezreal_Top_Camille(Ratings):
pass
class NA_Ezreal_Top_Cassiopeia(Ratings):
pass
class NA_Ezreal_Top_Chogath(Ratings):
pass
class NA_Ezreal_Top_Corki(Ratings):
pass
class NA_Ezreal_Top_Darius(Ratings):
pass
class NA_Ezreal_Top_Diana(Ratings):
pass
class NA_Ezreal_Top_Draven(Ratings):
pass
class NA_Ezreal_Top_DrMundo(Ratings):
pass
class NA_Ezreal_Top_Ekko(Ratings):
pass
class NA_Ezreal_Top_Elise(Ratings):
pass
class NA_Ezreal_Top_Evelynn(Ratings):
pass
class NA_Ezreal_Top_Ezreal(Ratings):
pass
class NA_Ezreal_Top_Fiddlesticks(Ratings):
pass
class NA_Ezreal_Top_Fiora(Ratings):
pass
class NA_Ezreal_Top_Fizz(Ratings):
pass
class NA_Ezreal_Top_Galio(Ratings):
pass
class NA_Ezreal_Top_Gangplank(Ratings):
pass
class NA_Ezreal_Top_Garen(Ratings):
pass
class NA_Ezreal_Top_Gnar(Ratings):
pass
class NA_Ezreal_Top_Gragas(Ratings):
pass
class NA_Ezreal_Top_Graves(Ratings):
pass
class NA_Ezreal_Top_Hecarim(Ratings):
pass
class NA_Ezreal_Top_Heimerdinger(Ratings):
pass
class NA_Ezreal_Top_Illaoi(Ratings):
pass
class NA_Ezreal_Top_Irelia(Ratings):
pass
class NA_Ezreal_Top_Ivern(Ratings):
pass
class NA_Ezreal_Top_Janna(Ratings):
pass
class NA_Ezreal_Top_JarvanIV(Ratings):
pass
class NA_Ezreal_Top_Jax(Ratings):
pass
class NA_Ezreal_Top_Jayce(Ratings):
pass
class NA_Ezreal_Top_Jhin(Ratings):
pass
class NA_Ezreal_Top_Jinx(Ratings):
pass
class NA_Ezreal_Top_Kalista(Ratings):
pass
class NA_Ezreal_Top_Karma(Ratings):
pass
class NA_Ezreal_Top_Karthus(Ratings):
pass
class NA_Ezreal_Top_Kassadin(Ratings):
pass
class NA_Ezreal_Top_Katarina(Ratings):
pass
class NA_Ezreal_Top_Kayle(Ratings):
pass
class NA_Ezreal_Top_Kayn(Ratings):
pass
class NA_Ezreal_Top_Kennen(Ratings):
pass
class NA_Ezreal_Top_Khazix(Ratings):
pass
class NA_Ezreal_Top_Kindred(Ratings):
pass
class NA_Ezreal_Top_Kled(Ratings):
pass
class NA_Ezreal_Top_KogMaw(Ratings):
pass
class NA_Ezreal_Top_Leblanc(Ratings):
pass
class NA_Ezreal_Top_LeeSin(Ratings):
pass
class NA_Ezreal_Top_Leona(Ratings):
pass
class NA_Ezreal_Top_Lissandra(Ratings):
pass
class NA_Ezreal_Top_Lucian(Ratings):
pass
class NA_Ezreal_Top_Lulu(Ratings):
pass
class NA_Ezreal_Top_Lux(Ratings):
pass
class NA_Ezreal_Top_Malphite(Ratings):
pass
class NA_Ezreal_Top_Malzahar(Ratings):
pass
class NA_Ezreal_Top_Maokai(Ratings):
pass
class NA_Ezreal_Top_MasterYi(Ratings):
pass
class NA_Ezreal_Top_MissFortune(Ratings):
pass
class NA_Ezreal_Top_MonkeyKing(Ratings):
pass
class NA_Ezreal_Top_Mordekaiser(Ratings):
pass
class NA_Ezreal_Top_Morgana(Ratings):
pass
class NA_Ezreal_Top_Nami(Ratings):
pass
class NA_Ezreal_Top_Nasus(Ratings):
pass
class NA_Ezreal_Top_Nautilus(Ratings):
pass
class NA_Ezreal_Top_Nidalee(Ratings):
pass
class NA_Ezreal_Top_Nocturne(Ratings):
pass
class NA_Ezreal_Top_Nunu(Ratings):
pass
class NA_Ezreal_Top_Olaf(Ratings):
pass
class NA_Ezreal_Top_Orianna(Ratings):
pass
class NA_Ezreal_Top_Ornn(Ratings):
pass
class NA_Ezreal_Top_Pantheon(Ratings):
pass
class NA_Ezreal_Top_Poppy(Ratings):
pass
class NA_Ezreal_Top_Quinn(Ratings):
pass
class NA_Ezreal_Top_Rakan(Ratings):
pass
class NA_Ezreal_Top_Rammus(Ratings):
pass
class NA_Ezreal_Top_RekSai(Ratings):
pass
class NA_Ezreal_Top_Renekton(Ratings):
pass
class NA_Ezreal_Top_Rengar(Ratings):
pass
class NA_Ezreal_Top_Riven(Ratings):
pass
class NA_Ezreal_Top_Rumble(Ratings):
pass
class NA_Ezreal_Top_Ryze(Ratings):
pass
class NA_Ezreal_Top_Sejuani(Ratings):
pass
class NA_Ezreal_Top_Shaco(Ratings):
pass
class NA_Ezreal_Top_Shen(Ratings):
pass
class NA_Ezreal_Top_Shyvana(Ratings):
pass
class NA_Ezreal_Top_Singed(Ratings):
pass
class NA_Ezreal_Top_Sion(Ratings):
pass
class NA_Ezreal_Top_Sivir(Ratings):
pass
class NA_Ezreal_Top_Skarner(Ratings):
pass
class NA_Ezreal_Top_Sona(Ratings):
pass
class NA_Ezreal_Top_Soraka(Ratings):
pass
class NA_Ezreal_Top_Swain(Ratings):
pass
class NA_Ezreal_Top_Syndra(Ratings):
pass
class NA_Ezreal_Top_TahmKench(Ratings):
pass
class NA_Ezreal_Top_Taliyah(Ratings):
pass
class NA_Ezreal_Top_Talon(Ratings):
pass
class NA_Ezreal_Top_Taric(Ratings):
pass
class NA_Ezreal_Top_Teemo(Ratings):
pass
class NA_Ezreal_Top_Thresh(Ratings):
pass
class NA_Ezreal_Top_Tristana(Ratings):
pass
class NA_Ezreal_Top_Trundle(Ratings):
pass
class NA_Ezreal_Top_Tryndamere(Ratings):
pass
class NA_Ezreal_Top_TwistedFate(Ratings):
pass
class NA_Ezreal_Top_Twitch(Ratings):
pass
class NA_Ezreal_Top_Udyr(Ratings):
pass
class NA_Ezreal_Top_Urgot(Ratings):
pass
class NA_Ezreal_Top_Varus(Ratings):
pass
class NA_Ezreal_Top_Vayne(Ratings):
pass
class NA_Ezreal_Top_Veigar(Ratings):
pass
class NA_Ezreal_Top_Velkoz(Ratings):
pass
class NA_Ezreal_Top_Vi(Ratings):
pass
class NA_Ezreal_Top_Viktor(Ratings):
pass
class NA_Ezreal_Top_Vladimir(Ratings):
pass
class NA_Ezreal_Top_Volibear(Ratings):
pass
class NA_Ezreal_Top_Warwick(Ratings):
pass
class NA_Ezreal_Top_Xayah(Ratings):
pass
class NA_Ezreal_Top_Xerath(Ratings):
pass
class NA_Ezreal_Top_XinZhao(Ratings):
pass
class NA_Ezreal_Top_Yasuo(Ratings):
pass
class NA_Ezreal_Top_Yorick(Ratings):
pass
class NA_Ezreal_Top_Zac(Ratings):
pass
class NA_Ezreal_Top_Zed(Ratings):
pass
class NA_Ezreal_Top_Ziggs(Ratings):
pass
class NA_Ezreal_Top_Zilean(Ratings):
pass
class NA_Ezreal_Top_Zyra(Ratings):
pass
| [
"[email protected]"
] | |
c66f64e3cdef0df7c0c6fea5459b75f5b42961cf | c17374a533fd7f21be10ef2077e261849ed87c7e | /electoraid_cms/urls.py | e8e35769590ed4bab0662190aff56da33362675d | [] | no_license | electoraid/electoraid-cms | cf8a6f9ebf6951625c202ff8b9e2c3ad72f528ae | 8a11b4b7b6d9eadf283af0725a57710eddffe216 | refs/heads/master | 2022-12-12T13:47:02.793891 | 2019-12-04T02:25:09 | 2019-12-04T02:25:09 | 223,650,774 | 0 | 0 | null | 2022-12-08T03:15:57 | 2019-11-23T20:45:38 | Python | UTF-8 | Python | false | false | 967 | py | """electoraid_cms 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 baton.autodiscover import admin
from django.urls import include, path
from django.views.generic.base import RedirectView
from django.views.decorators.csrf import csrf_exempt
urlpatterns = [
path('admin/', admin.site.urls),
path('baton/', include('baton.urls')),
path('', RedirectView.as_view(url='/admin')),
]
| [
"[email protected]"
] | |
d50399a4eaf3be5ae62e3552b7e3c06a7c689c23 | e14605612c96d450bea1fca7fa9963105b6452fb | /tensorflow/python/training/ftrl_test.py | eb581048f165c2cfcebeff4238941b043d138053 | [
"Apache-2.0"
] | permissive | Yangqing/tensorflow | 0bb9259398eac98dc8e9f48cc0b7506f4d5f8a24 | 18792c1fce7e12d36c0f1704cff15ed820cc6ff5 | refs/heads/master | 2023-06-20T21:11:52.483377 | 2015-11-11T21:16:55 | 2015-11-11T21:16:55 | 45,876,905 | 2 | 2 | null | 2015-11-11T21:16:55 | 2015-11-10T00:38:20 | C++ | UTF-8 | Python | false | false | 8,845 | py | """Functional tests for Ftrl operations."""
import tensorflow.python.platform
import numpy as np
import tensorflow as tf
class FtrlOptimizerTest(tf.test.TestCase):
def testFtrlwithoutRegularization(self):
with self.test_session() as sess:
var0 = tf.Variable([0.0, 0.0])
var1 = tf.Variable([0.0, 0.0])
grads0 = tf.constant([0.1, 0.2])
grads1 = tf.constant([0.01, 0.02])
opt = tf.train.FtrlOptimizer(3.0,
initial_accumulator_value=0.1,
l1_regularization_strength=0.0,
l2_regularization_strength=0.0)
update = opt.apply_gradients(zip([grads0, grads1], [var0, var1]))
tf.initialize_all_variables().run()
v0_val, v1_val = sess.run([var0, var1])
self.assertAllClose([0.0, 0.0], v0_val)
self.assertAllClose([0.0, 0.0], v1_val)
# Run 3 steps FTRL
for _ in range(3):
update.run()
v0_val, v1_val = sess.run([var0, var1])
self.assertAllClose(np.array([-2.60260963, -4.29698515]),
v0_val)
self.assertAllClose(np.array([-0.28432083, -0.56694895]),
v1_val)
def testFtrlwithoutRegularization2(self):
with self.test_session() as sess:
var0 = tf.Variable([1.0, 2.0])
var1 = tf.Variable([4.0, 3.0])
grads0 = tf.constant([0.1, 0.2])
grads1 = tf.constant([0.01, 0.02])
opt = tf.train.FtrlOptimizer(3.0,
initial_accumulator_value=0.1,
l1_regularization_strength=0.0,
l2_regularization_strength=0.0)
update = opt.apply_gradients(zip([grads0, grads1], [var0, var1]))
tf.initialize_all_variables().run()
v0_val, v1_val = sess.run([var0, var1])
self.assertAllClose([1.0, 2.0], v0_val)
self.assertAllClose([4.0, 3.0], v1_val)
# Run 3 steps FTRL
for _ in range(3):
update.run()
v0_val, v1_val = sess.run([var0, var1])
self.assertAllClose(np.array([-2.55607247, -3.98729396]),
v0_val)
self.assertAllClose(np.array([-0.28232238, -0.56096673]),
v1_val)
def testFtrlWithL1(self):
with self.test_session() as sess:
var0 = tf.Variable([1.0, 2.0])
var1 = tf.Variable([4.0, 3.0])
grads0 = tf.constant([0.1, 0.2])
grads1 = tf.constant([0.01, 0.02])
opt = tf.train.FtrlOptimizer(3.0,
initial_accumulator_value=0.1,
l1_regularization_strength=0.001,
l2_regularization_strength=0.0)
update = opt.apply_gradients(zip([grads0, grads1], [var0, var1]))
tf.initialize_all_variables().run()
v0_val, v1_val = sess.run([var0, var1])
self.assertAllClose([1.0, 2.0], v0_val)
self.assertAllClose([4.0, 3.0], v1_val)
# Run 10 steps FTRL
for _ in range(10):
update.run()
v0_val, v1_val = sess.run([var0, var1])
self.assertAllClose(np.array([-7.66718769, -10.91273689]),
v0_val)
self.assertAllClose(np.array([-0.93460727, -1.86147261]),
v1_val)
def testFtrlWithL1_L2(self):
with self.test_session() as sess:
var0 = tf.Variable([1.0, 2.0])
var1 = tf.Variable([4.0, 3.0])
grads0 = tf.constant([0.1, 0.2])
grads1 = tf.constant([0.01, 0.02])
opt = tf.train.FtrlOptimizer(3.0,
initial_accumulator_value=0.1,
l1_regularization_strength=0.001,
l2_regularization_strength=2.0)
update = opt.apply_gradients(zip([grads0, grads1], [var0, var1]))
tf.initialize_all_variables().run()
v0_val, v1_val = sess.run([var0, var1])
self.assertAllClose([1.0, 2.0], v0_val)
self.assertAllClose([4.0, 3.0], v1_val)
# Run 10 steps FTRL
for _ in range(10):
update.run()
v0_val, v1_val = sess.run([var0, var1])
self.assertAllClose(np.array([-0.24059935, -0.46829352]),
v0_val)
self.assertAllClose(np.array([-0.02406147, -0.04830509]),
v1_val)
def applyOptimizer(self, opt, steps=5, is_sparse=False):
if is_sparse:
var0 = tf.Variable([[0.0], [0.0]])
var1 = tf.Variable([[0.0], [0.0]])
grads0 = tf.IndexedSlices(tf.constant([0.1], shape=[1, 1]),
tf.constant([0]),
tf.constant([2, 1]))
grads1 = tf.IndexedSlices(tf.constant([0.02], shape=[1, 1]),
tf.constant([1]),
tf.constant([2, 1]))
else:
var0 = tf.Variable([0.0, 0.0])
var1 = tf.Variable([0.0, 0.0])
grads0 = tf.constant([0.1, 0.2])
grads1 = tf.constant([0.01, 0.02])
update = opt.apply_gradients(zip([grads0, grads1], [var0, var1]))
tf.initialize_all_variables().run()
sess = tf.get_default_session()
v0_val, v1_val = sess.run([var0, var1])
if is_sparse:
self.assertAllClose([[0.0], [0.0]], v0_val)
self.assertAllClose([[0.0], [0.0]], v1_val)
else:
self.assertAllClose([0.0, 0.0], v0_val)
self.assertAllClose([0.0, 0.0], v1_val)
# Run Ftrl for a few steps
for _ in range(steps):
update.run()
v0_val, v1_val = sess.run([var0, var1])
return v0_val, v1_val
# When variables are intialized with Zero, FTRL-Proximal has two properties:
# 1. Without L1&L2 but with fixed learning rate, FTRL-Proximal is identical
# with GradientDescent.
# 2. Without L1&L2 but with adaptive learning rate, FTRL-Proximal is identical
# with Adagrad.
# So, basing on these two properties, we test if our implementation of
# FTRL-Proximal performs same updates as Adagrad or GradientDescent.
def testEquivAdagradwithoutRegularization(self):
with self.test_session():
val0, val1 = self.applyOptimizer(
tf.train.FtrlOptimizer(3.0,
# Adagrad learning rate
learning_rate_power=-0.5,
initial_accumulator_value=0.1,
l1_regularization_strength=0.0,
l2_regularization_strength=0.0))
with self.test_session():
val2, val3 = self.applyOptimizer(
tf.train.AdagradOptimizer(3.0, initial_accumulator_value=0.1))
self.assertAllClose(val0, val2)
self.assertAllClose(val1, val3)
def testEquivSparseAdagradwithoutRegularization(self):
with self.test_session():
val0, val1 = self.applyOptimizer(
tf.train.FtrlOptimizer(3.0,
# Adagrad learning rate
learning_rate_power=-0.5,
initial_accumulator_value=0.1,
l1_regularization_strength=0.0,
l2_regularization_strength=0.0),
is_sparse=True)
with self.test_session():
val2, val3 = self.applyOptimizer(
tf.train.AdagradOptimizer(3.0, initial_accumulator_value=0.1),
is_sparse=True)
self.assertAllClose(val0, val2)
self.assertAllClose(val1, val3)
def testEquivSparseGradientDescentwithoutRegularizaion(self):
with self.test_session():
val0, val1 = self.applyOptimizer(
tf.train.FtrlOptimizer(3.0,
# Fixed learning rate
learning_rate_power=-0.0,
initial_accumulator_value=0.1,
l1_regularization_strength=0.0,
l2_regularization_strength=0.0),
is_sparse=True)
with self.test_session():
val2, val3 = self.applyOptimizer(
tf.train.GradientDescentOptimizer(3.0), is_sparse=True)
self.assertAllClose(val0, val2)
self.assertAllClose(val1, val3)
def testEquivGradientDescentwithoutRegularizaion(self):
with self.test_session():
val0, val1 = self.applyOptimizer(
tf.train.FtrlOptimizer(3.0,
# Fixed learning rate
learning_rate_power=-0.0,
initial_accumulator_value=0.1,
l1_regularization_strength=0.0,
l2_regularization_strength=0.0))
with self.test_session():
val2, val3 = self.applyOptimizer(
tf.train.GradientDescentOptimizer(3.0))
self.assertAllClose(val0, val2)
self.assertAllClose(val1, val3)
if __name__ == "__main__":
tf.test.main()
| [
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] | |
a121f41b3cc1380246409f13814789b0c1093fa0 | 0d5c77661f9d1e6783b1c047d2c9cdd0160699d1 | /python/paddle/fluid/tests/unittests/test_parallel_executor_test_while_train.py | 252793944462244539084a288e5259f216359650 | [
"Apache-2.0"
] | permissive | xiaoyichao/anyq_paddle | ae68fabf1f1b02ffbc287a37eb6c0bcfbf738e7f | 6f48b8f06f722e3bc5e81f4a439968c0296027fb | refs/heads/master | 2022-10-05T16:52:28.768335 | 2020-03-03T03:28:50 | 2020-03-03T03:28:50 | 244,155,581 | 1 | 0 | Apache-2.0 | 2022-09-23T22:37:13 | 2020-03-01T13:36:58 | C++ | UTF-8 | Python | false | false | 3,770 | py | # Copyright (c) 2018 PaddlePaddle 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 paddle.fluid as fluid
import numpy as np
import unittest
import os
def simple_fc_net():
img = fluid.layers.data(name='image', shape=[784], dtype='float32')
label = fluid.layers.data(name='label', shape=[1], dtype='int64')
hidden = img
for _ in xrange(4):
hidden = fluid.layers.fc(
hidden,
size=200,
act='tanh',
bias_attr=fluid.ParamAttr(
initializer=fluid.initializer.Constant(value=1.0)))
prediction = fluid.layers.fc(hidden, size=10, act='softmax')
loss = fluid.layers.cross_entropy(input=prediction, label=label)
loss = fluid.layers.mean(loss)
return loss
class ParallelExecutorTestingDuringTraining(unittest.TestCase):
def check_network_convergence(self, use_cuda, build_strategy=None):
os.environ['CPU_NUM'] = str(4)
main = fluid.Program()
startup = fluid.Program()
with fluid.program_guard(main, startup):
loss = simple_fc_net()
test_program = main.clone(for_test=True)
opt = fluid.optimizer.SGD(learning_rate=0.001)
opt.minimize(loss)
batch_size = 32
image = np.random.normal(size=(batch_size, 784)).astype('float32')
label = np.random.randint(0, 10, (batch_size, 1), dtype="int64")
place = fluid.CUDAPlace(0) if use_cuda else fluid.CPUPlace()
exe = fluid.Executor(place)
exe.run(startup)
feed_dict = {'image': image, 'label': label}
train_exe = fluid.ParallelExecutor(
use_cuda=use_cuda,
loss_name=loss.name,
main_program=main,
build_strategy=build_strategy)
test_exe = fluid.ParallelExecutor(
use_cuda=use_cuda,
main_program=test_program,
share_vars_from=train_exe,
build_strategy=build_strategy)
for i in xrange(5):
test_loss, = test_exe.run([loss.name], feed=feed_dict)
train_loss, = train_exe.run([loss.name], feed=feed_dict)
self.assertTrue(
np.allclose(
train_loss, test_loss, atol=1e-8),
"Train loss: " + str(train_loss) + "\n Test loss:" +
str(test_loss))
def test_parallel_testing(self):
build_strategy = fluid.BuildStrategy()
build_strategy.reduce_strategy = fluid.BuildStrategy.ReduceStrategy.AllReduce
self.check_network_convergence(
use_cuda=True, build_strategy=build_strategy)
self.check_network_convergence(
use_cuda=False, build_strategy=build_strategy)
def test_parallel_testing_with_new_strategy(self):
build_strategy = fluid.BuildStrategy()
build_strategy.reduce_strategy = fluid.BuildStrategy.ReduceStrategy.Reduce
self.check_network_convergence(
use_cuda=True, build_strategy=build_strategy)
self.check_network_convergence(
use_cuda=False, build_strategy=build_strategy)
if __name__ == '__main__':
unittest.main()
| [
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] | |
10715d27aa4f7e90889e6c3656f863943f5b87a0 | 04ae1836b9bc9d73d244f91b8f7fbf1bbc58ff29 | /404/Solution.py | fc03385d6cf998b49aa9ceaf42511cad45ba0ca5 | [] | no_license | zhangruochi/leetcode | 6f739fde222c298bae1c68236d980bd29c33b1c6 | cefa2f08667de4d2973274de3ff29a31a7d25eda | refs/heads/master | 2022-07-16T23:40:20.458105 | 2022-06-02T18:25:35 | 2022-06-02T18:25:35 | 78,989,941 | 14 | 6 | null | null | null | null | UTF-8 | Python | false | false | 1,489 | py | """
Find the sum of all left leaves in a given binary tree.
Example:
3
/ \
9 20
/ \
15 7
There are two left leaves in the binary tree, with values 9 and 15 respectively. Return 24.
"""
# Definition for a binary tree node.
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def sumOfLeftLeaves(self, root):
"""
:type root: TreeNode
:rtype: int
"""
def iter(root,isleaft):
if not root:
return 0
elif not root.left and not root.right and isleaft:
return root.val
else:
return iter(root.left,True) + iter(root.right,False)
return iter(root,False)
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def sumOfLeftLeaves(self, root: TreeNode) -> int:
res = 0
def traverse(root,flag):
nonlocal res
if not root:
return
if not root.left and not root.right and flag:
res += root.val
traverse(root.left,1)
traverse(root.right,0)
traverse(root,0)
return res
| [
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] | |
11536b5271ae3d430e3c66740a0fa2cbea21f19b | 0089e87d4e9bef9df4fe6611a79a13225c01b98e | /mB3-python-03/script-b0307-01.py | e9ade0c7dc5e3463fdb7dbdf2ba8361e5a78fbb1 | [] | no_license | odvk/sf-pyfullstack-c02 | 63ea99bf6bea79113fe75e0e6f4e5cdfb4a90aca | 4521b9652264d03c082a9390dbcdcec2586c8fd1 | refs/heads/master | 2020-06-25T06:48:50.944156 | 2019-08-17T06:08:02 | 2019-08-17T06:08:02 | 199,236,372 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,128 | py | # В3.7 Ещё раз про “магические” методы
class User:
def __init__(self):
print("Конструирую пользователя")
self.name = "Гелиозавр"
# конструктор это функция определяемая внутри класса;
# конструктор называется __init__ (два подчёркивания с двух сторон от названия);
# конструктор это функция: есть формальный аргумент, который называется 'self';
# внутри конструктора фактический аргумент self можно использовать чтобы изменять поля манипулируемого объекта.
u1 = User()
u2 = User()
u2.name = "Орнитишийлар"
print(u1.name, u2.name)
print("----------------------------")
# В нашем случае мы хотим сделать так, чтобы когда User участвует в выражении как строка
# (то есть приводится к строке) использовалось поле name. Это делается таким кодом:
class User1:
def __init__(self):
print("Конструирую пользователя")
self.name = "Гелиозавр"
def __str__(self):
return self.name
u1 = User1()
print(u1)
print("----------------------------")
# Дополним нашу модель пользователя и перепишем немного определение класса:
class User2:
def __init__(self, email, name="Гелиозавр"):
self.email = email
self.name = name
def __str__(self):
return "%s <%s>" % (self.name, self.email)
u1 = User2("[email protected]")
u2 = User2(name="Орнитишийлар", email="[email protected]")
print(u1, u2)
print("----------------------------")
# Обратите внимание, что некоторые примеров в таблице выше используют два аргумента,
# так как они описывают какое-то парное действие. К примеру, мы в нашем сервисе можем считать,
# что если у нас есть два пользователя с одинаковым е-мейлом, то это два равных пользователя.
# Чтобы использовать эту проверку в коде мы определим наш класс пользователя так:
class User3:
def __init__(self, email, name="Гелиозавр"):
self.email = email
self.name = name
def __str__(self):
return "%s <%s>" % (self.name, self.email)
def __eq__(self, other):
return self.email.lower() == other.email.lower()
u1 = User3(name="Гелиозавр", email="[email protected]")
u2 = User3(name="Орнитишийлар", email="[email protected]")
print(u1, u2)
print("Это один и тот же пользователь?", u1 == u2)
| [
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] | |
8c994e8baded11dfb7211bd97cfef1a47f2fdf33 | 8fd314074713b3af02d68fd99fa5bf323283439f | /server/src/uds/dispatchers/__init__.py | 67ac9fa4e1883883983f5b8efeb5bf3c4d4ec13a | [] | no_license | spofa/openuds | 099f5d4b4eaf54064d3c2f22a04653d304552294 | a071ce5e3ed7a3e8973431cc2e884ff4219b8056 | refs/heads/master | 2021-07-04T14:16:13.810597 | 2017-09-21T13:50:07 | 2017-09-21T13:50:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,613 | py | # -*- coding: utf-8 -*-
#
# Copyright (c) 2012 Virtual Cable S.L.
# All rights reserved.
#
'''
@author: Adolfo Gómez, dkmaster at dkmon dot com
'''
from __future__ import unicode_literals
import logging
logger = logging.getLogger(__name__)
'''
Service modules for uds are contained inside this package.
To create a new service module, you will need to follow this steps:
1.- Create the service module, probably based on an existing one
2.- Insert the module package as child of this package
3.- Import the class of your service module at __init__. For example::
from Service import SimpleService
4.- Done. At Server restart, the module will be recognized, loaded and treated
The registration of modules is done locating subclases of :py:class:`uds.core.auths.Authentication`
.. moduleauthor:: Adolfo Gómez, dkmaster at dkmon dot com
'''
def __init__():
'''
This imports all packages that are descendant of this package, and, after that,
it register all subclases of service provider as
'''
import os.path
import pkgutil
import sys
# Dinamycally import children of this package. The __init__.py files must register, if needed, inside ServiceProviderFactory
pkgpath = os.path.dirname(sys.modules[__name__].__file__)
for _, name, _ in pkgutil.iter_modules([pkgpath]):
try:
logger.info('Loading dispatcher {}'.format(name))
__import__(name, globals(), locals(), [], -1)
except:
logger.exception('Loading dispatcher {}'.format(name))
logger.debug('Dispatchers initialized')
__init__()
| [
"[email protected]"
] | |
875e902874cd19eed9179c2b9f5951774b7ebdd3 | 083ca3df7dba08779976d02d848315f85c45bf75 | /ZumaGame2.py | 0233172d4172027141b217916e5abb0e6ac474f9 | [] | no_license | jiangshen95/UbuntuLeetCode | 6427ce4dc8d9f0f6e74475faced1bcaaa9fc9f94 | fa02b469344cf7c82510249fba9aa59ae0cb4cc0 | refs/heads/master | 2021-05-07T02:04:47.215580 | 2020-06-11T02:33:35 | 2020-06-11T02:33:35 | 110,397,909 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,067 | py | class Solution:
def findMinStep(self, board: str, hand: str) -> int:
def removeConsecutive(b):
j = 0
for i in range(len(b) + 1):
if i < len(b) and b[i] == b[j]:
continue
if i - j >= 3:
return removeConsecutive(b[: j] + b[i:])
j = i
return b
board = removeConsecutive(board)
if not board:
return 0
result = 100
s = set()
for i in range(len(hand)):
if hand[i] in s:
continue
s.add(hand[i])
for j in range(len(board)):
if board[j] == hand[i]:
t = self.findMinStep(board[: j] + hand[i] + board[j:], hand[:i] + hand[i + 1:])
if t != -1:
result = min(result, t + 1)
return -1 if result == 100 else result
if __name__ == '__main__':
board = input()
hand = input()
solution = Solution()
print(solution.findMinStep(board, hand))
| [
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] | |
ca0321aca72bd390e64948f0e7f89acf174fef9a | 1d36f1a3c527e364b50cb73d0ce82b5b5db917e6 | /sdk/identity/azure-identity/azure/identity/aio/_credentials/certificate.py | 1b044a24c0e14bee3174e19fcfc646c2d828904f | [
"LicenseRef-scancode-generic-cla",
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | emreyalcin26/azure-sdk-for-python | 08c0a294e49e9c3a77867fb20ded4d97722ea551 | 6927458c7baa5baaf07c3b68ed30f6e517e87c9a | refs/heads/master | 2022-10-17T02:25:23.373789 | 2020-06-12T23:43:40 | 2020-06-12T23:43:40 | 272,001,096 | 1 | 0 | MIT | 2020-06-13T12:06:11 | 2020-06-13T12:06:11 | null | UTF-8 | Python | false | false | 2,745 | py | # ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
from typing import TYPE_CHECKING
from .base import AsyncCredentialBase
from .._internal import AadClient
from ..._internal import CertificateCredentialBase
if TYPE_CHECKING:
from typing import Any
from azure.core.credentials import AccessToken
class CertificateCredential(CertificateCredentialBase, AsyncCredentialBase):
"""Authenticates as a service principal using a certificate.
:param str tenant_id: ID of the service principal's tenant. Also called its 'directory' ID.
:param str client_id: the service principal's client ID
:param str certificate_path: path to a PEM-encoded certificate file including the private key
:keyword str authority: Authority of an Azure Active Directory endpoint, for example 'login.microsoftonline.com',
the authority for Azure Public Cloud (which is the default). :class:`~azure.identity.KnownAuthorities`
defines authorities for other clouds.
:keyword password: The certificate's password. If a unicode string, it will be encoded as UTF-8. If the certificate
requires a different encoding, pass appropriately encoded bytes instead.
:paramtype password: str or bytes
"""
async def __aenter__(self):
await self._client.__aenter__()
return self
async def close(self):
"""Close the credential's transport session."""
await self._client.__aexit__()
async def get_token(self, *scopes: str, **kwargs: "Any") -> "AccessToken": # pylint:disable=unused-argument
"""Asynchronously request an access token for `scopes`.
.. note:: This method is called by Azure SDK clients. It isn't intended for use in application code.
:param str scopes: desired scopes for the access token. This method requires at least one scope.
:rtype: :class:`azure.core.credentials.AccessToken`
:raises ~azure.core.exceptions.ClientAuthenticationError: authentication failed. The error's ``message``
attribute gives a reason. Any error response from Azure Active Directory is available as the error's
``response`` attribute.
"""
if not scopes:
raise ValueError("'get_token' requires at least one scope")
token = self._client.get_cached_access_token(scopes, query={"client_id": self._client_id})
if not token:
token = await self._client.obtain_token_by_client_certificate(scopes, self._certificate, **kwargs)
return token
def _get_auth_client(self, tenant_id, client_id, **kwargs):
return AadClient(tenant_id, client_id, **kwargs)
| [
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] | |
aa3cad735dc9453629e4cb87982cd2dc96c5743e | 32cb84dd41e4be24c065bb205f226f9b121a6db2 | /antiddos/policy.py | eea1a79695c59d373b35ac96a1b19ba7d74d6620 | [] | no_license | InformatykaNaStart/staszic-sio2 | b38fda84bd8908472edb2097774838ceed08fcfa | 60a127e687ef8216d2ba53f9f03cfaa201c59e26 | refs/heads/master | 2022-06-29T11:09:28.765166 | 2022-06-13T21:56:19 | 2022-06-13T21:56:19 | 115,637,960 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 435 | py | from oioioi.evalmgr.models import QueuedJob
from django.conf import settings
def queued_submissions_of(user):
return QueuedJob.objects.filter(state='WAITING',submission__user=user).count()
def get_queued_submissions_limit():
return getattr(settings, 'MAX_QUEUED_SUBMISSIONS_PER_USER', 10**3)
def can_submit(user):
if user.is_superuser: return True
return queued_submissions_of(user) < get_queued_submissions_limit()
| [
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] | |
656c4bcc2e28b5938448e7b70cf38bafc93e704e | 5a4f1e3013290d331d2a1e69daa69c29882fb97c | /asynclib/base_events.py | 297e94c06411df242ff3ccb72025edad82377e36 | [] | no_license | pfmoore/asynclib | 308e28609f28638f7a05c2c8e3f1fde9aa72e984 | b03979cd532632e5165a8d35f2024ce2ea8dfc5b | refs/heads/master | 2021-01-22T03:08:52.297430 | 2015-05-16T12:02:41 | 2015-05-16T12:02:41 | 35,449,413 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,591 | py | """Event loop."""
from .tasks import Task
class EventLoop:
def __init__(self):
self.ready = []
self.call_soon_queue = []
self.running = False
def call_soon(self, fn):
self.call_soon_queue.append(fn)
def _run_one_step(self):
while self.call_soon_queue:
fn = self.call_soon_queue.pop(0)
fn()
if not self.ready:
return
current = self.ready[0]
try:
next(current)
except StopIteration:
self.unschedule(current)
else:
if self.ready and self.ready[0] is current:
# current is hogging the "next available" slot.
# Implement a fairness algorithm here - in this case,
# just move it to the back to give a "round robin"
# algorithm
del self.ready[0]
self.ready.append(current)
def run_forever(self):
self.running = True
while self.running and self.ready:
self._run_one_step()
def run_until_complete(future):
pass
def is_running(self):
return self.running
def stop(self):
self.running = False
def schedule(self, coro):
self.ready.append(coro)
def unschedule(self, coro):
if coro in self.ready:
self.ready.remove(coro)
def create_task(self, coro):
t = Task(coro, loop=self) # self.schedule(coro)
def get_debug(self):
return False
def call_exception_handler(self, *args):
print(args)
loop = EventLoop()
| [
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] | |
f2d870ea60c114be0dfb7f2f551b3c0f0b4a0a48 | 3bb57eb1f7c1c0aced487e7ce88f3cb84d979054 | /qats/scripts/evaluators/formatted_accuracy.py | 5ab4d2d8e8201b614d6d230be335d6d736d814a5 | [] | no_license | ghpaetzold/phd-backup | e100cd0bbef82644dacc73a8d1c6b757b2203f71 | 6f5eee43e34baa796efb16db0bc8562243a049b6 | refs/heads/master | 2020-12-24T16:41:21.490426 | 2016-04-23T14:50:07 | 2016-04-23T14:50:07 | 37,981,094 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,785 | py | import os
from tabulate import tabulate
from scipy.stats import spearmanr
def getAccuracy(pred, gold):
right = 0.0
for i in range(0, len(pred)):
if pred[i]==gold[i]:
right += 1.0
return right/len(pred)
types = ['G', 'M', 'S', 'O']
systems = sorted(os.listdir('../../labels/G'))
names = {}
names['nn'] = 'SimpleNets-RNN3'
names['nn_adadelta'] = 'SimpleNets-RNN2'
names['nn_mlp'] = 'SimpleNets-MLP'
names['adaboost'] = 'Ada Boosting'
names['dectrees'] = 'Decision Trees'
names['gradientboost'] = 'Gradient Boosting'
names['randomforest'] = 'Random Forests'
names['sgd'] = 'SGD'
names['svm'] = 'SVM'
names['allgood'] = 'All Good'
names['allok'] = 'All Ok'
names['allbad'] = 'All Bad'
scores = {}
for system in systems:
scores[system] = []
for type in types:
gold = [item.strip().split('\t')[2] for item in open('../../corpora/'+type+'_test.txt')]
golds = [float(item.strip().split('\t')[2]) for item in open('../../corpora/'+type+'_test.txt')]
for system in systems:
files = os.listdir('../../labels/'+type+'/'+system)
maxacc = -1
maxspear = 0
maxfile = None
for file in files:
pred = [item.strip().split('\t')[0] for item in open('../../labels/'+type+'/'+system+'/'+file)]
preds = [float(item.strip().split('\t')[1]) for item in open('../../labels/'+type+'/'+system+'/'+file)]
preds[0] = preds[0]+0.00000001
acc = getAccuracy(pred, gold)
if acc>maxacc:
maxacc = acc
maxfile = file
spear, f = spearmanr(preds, golds)
if acc>maxspear:
maxspear = spear
scores[system].append((maxacc, maxspear))
for system in sorted(scores.keys()):
if system in names:
newline = names[system]
for value in scores[system]:
newline += r' & $' + "%.3f" % value[0] + r'$ & $' + "%.3f" % value[1] + r'$'
newline += r' \\'
print(newline)
| [
"[email protected]"
] |
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