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notebooks/deliver/bawe_rnn_train.py | grchristensen/avpd | 0 | 56205 | from datetime import datetime
import os
from os.path import join
import pandas as pd
from pathlib import Path
import pickle
import spacy
import sys
import torch
from torch import optim
from torch.nn import Embedding, LSTM
from torch.nn.functional import mse_loss
from torch.utils.data import TensorDataset
from torch.utils.tensorboard import SummaryWriter
from tqdm import tqdm
project_root = Path('..')
sys.path.append(os.path.abspath(project_root))
from notebooks.utils import init_data_dir # noqa
from notebooks import pipes # noqa
from notebooks.datatools import AuthorDataset, EqualOpDataLoader # noqa
from notebooks.nets import EuclideanDiscriminator, PackedEmbedder, StyleEncoder, Seq2Vec # noqa
from notebooks.utils import POSVocab # noqa
init_data_dir(project_root)
preprocess_path = join(project_root, Path('data/preprocess'))
dev = torch.device(0)
nlp = spacy.load('en_core_web_sm')
pos_vocab = POSVocab()
writer_dir = join(project_root, 'runs')
writer = SummaryWriter(join(writer_dir, f'{datetime.now()}-bawe-par-encoder'))
reprocess = False
train_data_path = join(preprocess_path, 'bawe_train_sentences_tokenized.hdf5')
valid_data_path = join(preprocess_path, 'bawe_valid_sentences_tokenized.hdf5')
train_data_exists = os.path.exists(train_data_path)
valid_data_exists = os.path.exists(valid_data_path)
pipeline = pipes.POSTokenize(nlp=nlp, pos_vocab=pos_vocab, show_loading=True)
if not (train_data_exists and valid_data_exists) or reprocess:
print('Processing...', flush=True)
train_df = pd.read_hdf(join(preprocess_path, 'bawe_train_sentences.hdf5'))
valid_df = pd.read_hdf(join(preprocess_path, 'bawe_valid_sentences.hdf5'))
train_data = pipeline(train_df)
valid_data = pipeline(valid_df)
train_data.to_hdf(train_data_path, 'bawe_train_sentences_tokenized')
valid_data.to_hdf(valid_data_path, 'bawe_valid_sentences_tokenized')
else:
train_data = pd.read_hdf(train_data_path)
valid_data = pd.read_hdf(valid_data_path)
train_data.loc[(28, 0, 1)]
num_sentences = 20
pipeline = pipes.GroupSentences(n=num_sentences)
train_data = pipeline(train_data)
valid_data = pipeline(valid_data)
train_set = AuthorDataset(train_data)
valid_set = AuthorDataset(valid_data)
embedder = PackedEmbedder(Embedding(len(pos_vocab), 10,
padding_idx=pos_vocab['<pad>']))
sentence_encoder = Seq2Vec(LSTM(10, 5))
style_encoder = StyleEncoder(embedder, sentence_encoder).to(dev)
style_discriminator = EuclideanDiscriminator(n=num_sentences).to(dev)
torch.seed()
# Hyperparameters
batch_count = 1000
lr = 1e-6
opt = optim.SGD([{'params': style_discriminator.parameters()},
{'params': style_encoder.parameters()}], lr=lr)
criterion = mse_loss
bs = 75
pipeline = pipes.PackSequence(dev=dev)
train_dl = EqualOpDataLoader(train_set, bs=bs, pipeline=pipeline)
valid_dl = EqualOpDataLoader(valid_set, bs=bs, pipeline=pipeline)
def fit(validate=True, validate_every=100):
train_dl.batch_count = batch_count
for index, ((x1b, y1b), (x2b, y2b)) in tqdm(enumerate(train_dl),
total=len(train_dl)):
x1_encoding = style_encoder(x1b)
x2_encoding = style_encoder(x2b)
pred = style_discriminator(x1_encoding, x2_encoding).squeeze(1)
yb = y_difference(y1b, y2b).to(dtype=torch.float)
loss = criterion(pred, yb)
loss.backward()
opt.step()
opt.zero_grad()
writer.add_scalar('Training Loss', loss, index)
writer.flush()
if validate:
if index % 100 == 0:
valid_loss, valid_acc = evaluate(valid_dl, give_acc=True)
writer.add_scalar('Validation Loss', valid_loss, index)
writer.add_scalar('Validation Accuracy', valid_acc, index)
writer.flush()
def y_difference(y1, y2):
return torch.logical_not((y1 == y2)).to(dtype=int).to(dev)
def evaluate(dl, give_acc=False):
with torch.no_grad():
preds_y = [(style_discriminator(style_encoder(x1b),
style_encoder(x2b)),
y_difference(y1b, y2b))
for (x1b, y1b), (x2b, y2b) in dl]
losses = [criterion(preds_b.squeeze(1), yb) for preds_b, yb in preds_y]
loss = sum(losses) / len(losses)
if give_acc:
accs = [accuracy(preds_b, yb) for preds_b, yb in preds_y]
acc = sum(accs) / len(accs)
return loss, acc
return loss
def accuracy(out, y):
preds = out > 0.5
return (preds == y).float().mean()
fit(validate=False)
outputs_dir = join(project_root, 'outputs')
if not os.path.isdir(outputs_dir):
os.mkdir(outputs_dir)
torch.save(style_encoder.state_dict(),
join(outputs_dir, 'bawe_style_encoder_sd.pt'))
torch.save(style_discriminator.state_dict(),
join(outputs_dir, 'bawe_style_discriminator_sd.pt'))
writer.close()
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cogs/report.py | fennr/Samuro-HotsBot | 1 | 108166 | <reponame>fennr/Samuro-HotsBot
import discord
from discord import Embed
from discord.ext import commands
from discord.ext.commands import command, Cog, errors
from discord_components import DiscordComponents, Button, ButtonStyle, Select, SelectOption
from discord_slash.context import ComponentContext, MenuContext
from utils import check
from utils.classes.Const import config
labels = {
'Questions': {
'Error': 'Ошибка',
'Question': 'Вопрос',
'Report': 'Жалоба',
'Offer': 'Предложение',
},
'Close': 'Закрыть тикет'
}
TICKET_CATEGORY = 'Tickets'
menu_buttons = [
# Button(style=ButtonStyle.gray, label=labels['Error'],),
Button(style=ButtonStyle.gray, label=labels['Questions']['Question']),
Button(style=ButtonStyle.gray, label=labels['Questions']['Report']),
Button(style=ButtonStyle.gray, label=labels['Questions']['Offer']),
]
remove_button = [
Button(style=ButtonStyle.red, label=labels['Close'])
]
class Report(commands.Cog, name="Report"):
def __init__(self, bot):
self.bot = bot
@command(name='create_rep')
@check.is_owner()
async def create_report(self, ctx):
message = 'Воспользовавшись кнопками ниже можно связаться с модерацией по интересующим вопросам'
embed = Embed(
title='Поддержка',
description=message,
color=config.success
)
await ctx.message.delete()
await ctx.send(embed=embed, components=[menu_buttons])
@command(name='ruhots_report')
@check.is_admin()
async def ruhots_report(self, ctx):
message = 'Воспользовавшись кнопками ниже можно написать модераторам\n' \
'по интересующим вопросам'
embed_image = Embed(
color=config.grey,
)
embed = Embed(
description=message,
color=config.grey
)
await ctx.message.delete()
filename = 'support.png'
file = discord.File('data/img/support-ruhots.png', filename=filename)
embed_image.set_image(url=f'attachment://{filename}')
await ctx.send(file=file, embeds=[embed_image, embed], components=[menu_buttons])
@command(name='select')
async def select_test(self, ctx):
stalk = discord.utils.get(ctx.guild.emojis, name='stalk')
rqg = discord.utils.get(ctx.guild.emojis, name='RQG2')
event_5x5 = discord.utils.get(ctx.guild.emojis, name='kotj')
select = Select(
options=[ # the options in your dropdown
SelectOption(label="Сталк", value="stlk", emoji=stalk),
SelectOption(label="RQG", value="rqg", emoji=rqg),
SelectOption(label="Бои 5х5", value="5x5", emoji=event_5x5),
],
placeholder="Выберите подписки", # the placeholder text to show when no options have been chosen
min_values=1, # the minimum number of options a user must select
max_values=2, # the maximum number of options a user can select
)
await ctx.message.delete()
await ctx.send("Здесь можно подписаться на разделы", components=[select])
@Cog.listener()
async def on_component(self, ctx: ComponentContext):
if ctx.selected_options is not None:
# ctx.selected_options is a list of all the values the user selected
await ctx.send(content=f"You selected {ctx.selected_options}")
@Cog.listener()
async def on_button_click(self, interaction):
if interaction.component.label == labels['Close']:
await interaction.channel.delete()
if interaction.component.label in labels['Questions'].values():
category = discord.utils.get(interaction.guild.categories, name=TICKET_CATEGORY)
name = f"{interaction.component.label}-{interaction.author.name}"
channel = await interaction.guild.create_text_channel(name, category=category, sync_permissions=True)
overwrite = discord.PermissionOverwrite()
overwrite.send_messages = True
overwrite.read_messages = True
await channel.set_permissions(target=interaction.author, overwrite=overwrite)
ticket_created_embed = discord.Embed(
title="Заявка открыта",
description=f"""Привет {interaction.author.name}! Напиши свое сообщение в данном чате.\n
Если вопрос решен, заявку можно закрыть нажав кнопку ниже""",
)
await channel.send(
interaction.author.mention, embed=ticket_created_embed, components=[remove_button]
) # ping the user who pressed the button, and send the embed
try:
await interaction.respond()
except:
pass
def setup(bot):
bot.add_cog(Report(bot))
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] |
src/bepasty/storage/__init__.py | Emojigit/bepasty-server | 123 | 171712 | import importlib
def create_storage(app):
"""
Load specified storage and return the object.
"""
if 'STORAGE' not in app.config:
raise Exception("Missing STORAGE config key")
storage = importlib.import_module('.' + app.config['STORAGE'], __name__)
return storage.create_storage(app)
| [
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] |
scripts/parse_groot-report.py | alexmsalmeida/amr-profiler | 2 | 93844 | <reponame>alexmsalmeida/amr-profiler
#!/usr/bin/env python
import sys
import os
if len(sys.argv) < 2:
print("usage: script.py res_classes.tsv groot.report")
sys.exit(1)
bla = ["CTX", "TEM", "OXA", "SHV", "OXY", "LEN",
"MIR", "DHA", "CMY", "PDC", "OKP", "CBL"]
arg = {"AGL": "Aminoglycoside", "MLS": "MLS",
"TMT": "Trimethoprim", "PHE": "Phenicol"}
resfinder = {}
# store resfinder ontology
with open(sys.argv[1], "r") as f:
for line in f:
line = line.strip("\n")
cols = line.split("\t")
gene = cols[0][:3].upper()
name = cols[1]
resfinder[gene] = name
groot = {}
name = sys.argv[2].split(".report")[0]
amr_counts = open(name+"_amr_counts.tsv", "w")
amr_classes = open(name+"_amr_classes.tsv", "w")
# go through groot report
with open(sys.argv[2], "r") as f:
for line in f:
line = line.strip("\n")
cols = line.split("\t")
amr_counts.write("%s\t%s\n" % (os.path.basename(name), "\t".join(cols[:-1])))
full_gene = cols[0]
if "RESFINDER" in full_gene:
gene = full_gene.split("__")[-1].split("_")[0].upper()
abclass = resfinder[gene[:3]]
elif "CARD" in full_gene:
gene = full_gene.split("|")[-1].upper()
try:
abclass = resfinder[gene[:3]]
except:
if gene[:3] in bla:
abclass = "Beta-lactam"
else:
abclass = "Other"
elif "ARGANNOT" in full_gene:
gene = full_gene.split("__")[-1].split(":")[0].upper()
if "(AGly_Flqn)" in gene:
abclass = "Aminoglycoside/Fluoroquinolone"
else:
try:
abclass = resfinder[gene[1:4]]
except:
try:
gene_name = gene.split(")")[-1][:3]
abclass = resfinder[gene_name]
except:
abbrev = gene[1:4]
try:
abclass = arg[abbrev]
except:
abclass = "Other"
if abclass not in groot.keys():
groot[abclass] = 1
else:
groot[abclass] += 1
for class_name in groot:
amr_classes.write("%s\t%s\t%i\n" % (os.path.basename(name), class_name, groot[class_name]))
amr_counts.close()
amr_classes.close()
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2
] |
codes/nlper/modules/modeling_outputs.py | zhaoxiongjun/NLPer-Arsenal | 1 | 170959 | <reponame>zhaoxiongjun/NLPer-Arsenal<gh_stars>1-10
from collections import OrderedDict
import torch
class ModelOutput(OrderedDict):
"""修改自transformers.file_utils.ModelOutput，允许下标、索引、属性访问，根据创建时的顺序决定
>>> t = ModelOutput(lr=1e-5)
>>> t.update(n_epochs=2)
>>> t
>>> ModelOutput([('lr', 1e-05), ('n_epochs', 2)])
>>> t[0] == t['lr'] == t.lr
>>> True
>>> t.lr = 5e-5 # equals t[0]=5e-5 or t['lr']=5e-5
>>> t.batch_size = 8 # equal t['batch_size']=8
>>> del t.lr # equals "del t[0]" or "del t['lr']"
"""
def __getitem__(self, k):
"""允许索引访问，同时也允许下标"""
if isinstance(k, str):
inner_dict = {k: v for (k, v) in self.items()}
return inner_dict[k]
else:
return self.to_tuple()[k]
def __setattr__(self, name, value):
"""设置属性时，会覆盖同名item"""
super().__setitem__(name, value)
super().__setattr__(name, value)
def __setitem__(self, key, value):
"""设置item的同时，也设置属性"""
# Will raise a KeyException if needed
if isinstance(key, int):
key = list(self.keys())[key]
super().__setitem__(key, value)
# Don't call self.__setattr__ to avoid recursion errors
super().__setattr__(key, value)
def __delattr__(self, item):
"""同时删除item和属性，只有通过该模型注册的才能被删除"""
super().__delattr__(item)
if item in self.keys():
self.__delitem__(item)
def __delitem__(self, key):
"""同时删除item和属性，只有通过该模型注册的才能被删除"""
if isinstance(key, int):
key = list(self.keys())[key]
super().__delitem__(key)
if key in self.__dict__:
self.__delattr__(key)
def pop(self, key):
result = self[key]
del self[key]
return result
def update(self, **kwargs):
for k, v in kwargs.items():
self.__setitem__(k, v)
def to_tuple(self):
"""
Convert self to a tuple containing all the attributes/keys that are not ``None``.
"""
return tuple(self[k] for k in self.keys())
class LightningOutput(ModelOutput):
"""
封装mpl.StandardModel中training_step、validation_step的输出
Args:
loss: 可求导的损失
preds: list, [batch_size, xxx], 模型的输出值，用于和golds计算指标，具体形式根据不同的任务决定
golds: list, [batch_size, xxx], 数据的真实标签，用于和preds计算指标
"""
loss: torch.Tensor = None
preds: list = []
golds: list = []
target_score: float = 0.0
class TextCLFOutput(ModelOutput):
"""
封装TextCLF模型的输出
Args:
logits: Tensor, [batch_size, num_labels], 模型最后的输出结果，用于计算损失，非概率值
seqEmb: Tensor, [batch_size, hidden_size], 最终用于分类的句子级表示
"""
logits: torch.Tensor = None
seqEmb: torch.Tensor = None
class EncoderOutput(ModelOutput):
"""
封装Encoder的输出
Args:
seqEmb: Tensor, [batch_size, seq_len, hidden_size]
"""
seqEmb: torch.Tensor = None
class DecoderOutput(ModelOutput):
"""
封装Decoder的输出
Args:
last_hidden_state: Tensor, [batch_size, seq_len, hidden_size], 解码器的预测结果
"""
last_hidden_state: torch.Tensor = None
class TextGenOutput(ModelOutput):
"""
封装TextGen模型的输出
Args:
pred: Tensor, [batch_size, seq_len, vocab_size], 用于计算loss
""" | [
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] |
paww/augmentation.py | SauravMaheshkar/paww | 0 | 145217 | <filename>paww/augmentation.py<gh_stars>0
from typing import Any
import albumentations as A
from albumentations.pytorch import ToTensorV2
__all__ = ["get_transforms"]
def get_transforms(cfg: dict, data: str) -> Any:
if data == "train":
return A.Compose(
[
A.RandomResizedCrop(cfg["size"], cfg["size"], scale=(0.85, 1.0)),
A.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
ToTensorV2(),
]
)
elif data == "valid":
return A.Compose(
[
A.Resize(cfg["size"], cfg["size"]),
A.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
ToTensorV2(),
]
)
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src/python/dxpy/toolkit_version.py | Vidium-LLC/dx-toolkit | 0 | 1612159 | <filename>src/python/dxpy/toolkit_version.py
version = '0.303.0'
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members/urls.py | Moha369/vector | 0 | 100484 |
from django.contrib import admin
from django.urls import path
from . import views
from django.conf.urls.static import static
from django.conf import settings
from django.contrib.admin.views.decorators import staff_member_required
from django.contrib.auth import views as auth_views
urlpatterns = [
path('', views.home, name = 'home'),
path('register/', views.register, name = 'register'),
path('profile/', views.profile, name = 'user_dashboard'),
path('login/', auth_views.LoginView.as_view(template_name = 'members/login.html'), name = 'login'),
path('logout/', auth_views.LogoutView.as_view(template_name = 'members/logout.html'), name = 'logout'),
path('contact/', views.contact, name = 'contact'),
path('members/', views.members, name = 'members'),
path('members/<username>', views.user_url, name = 'user_profile'),
path('about/', views.about, name = 'about')
] + static(settings.STATIC_URL, document_root=settings.STATIC_ROOT)
if settings.DEBUG:
urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)
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] |
blitzdb/fields/integer.py | marcinguy/blitzdb3 | 252 | 42277 | <gh_stars>100-1000
from .base import BaseField
class IntegerField(BaseField):
pass
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tests/unit_tests/test_UpdatedSynDataset_specified_target_with_background.py | liyu711/SUAS | 0 | 181356 | <gh_stars>0
"""
Running Successfully
import unittest
import math
from PIL import Image
from SyntheticDataset2.ImageCreator.specified_target_with_background import SpecifiedTargetWithBackground
class SpecifiedTargetWithBackgroundTestCase(unittest.TestCase):
def setUp(self):
self.path_to_background = "tests/images/competition_grass_1.JPG"
self.test_image1 = SpecifiedTargetWithBackground("circle", "?", "A", (255, 255, 255, 255), (255, 0, 0, 255), 0).create_specified_target_with_background()
self.test_image2 = SpecifiedTargetWithBackground("semicircle", "E", "E", (0, 255, 0, 255), (0, 0, 255, 255), 45).create_specified_target_with_background()
self.test_image3 = SpecifiedTargetWithBackground("cross", "D", "I", (255, 255, 0, 255), (255, 0, 255, 255), 90).create_specified_target_with_background()
self.test_image4 = SpecifiedTargetWithBackground("heptagon", "S", "O", (0, 255, 255, 255), (0, 0, 0, 255), 135).create_specified_target_with_background()
self.test_image5 = SpecifiedTargetWithBackground("star", "N", "U", (66, 66, 66, 255), (233, 233, 233, 255), 180).create_specified_target_with_background()
'''
Settings:
PPSI = 10
SINGLE_TARGET_SIZE_IN_INCHES = 24
SINGLE_TARGET_PROPORTIONALITY = 2.5
PIXELIZATION_LEVEL = 0
NOISE_LEVEL = 0
'''
def test_create_specified_target_with_specified_background(self):
self.assertTrue(abs(max(self.test_image1.width, self.test_image1.height) - 260) < 3)
self.assertTrue(self.test_image1.load()[self.test_image1.width/2, self.test_image1.height/2] == (255, 255, 255))
self.assertTrue(abs(max(self.test_image2.width, self.test_image2.height) - 260) < 3)
self.assertTrue(self.test_image2.load()[self.test_image2.width/2, self.test_image2.height/2] == (0, 255, 0))
self.assertTrue(abs(max(self.test_image2.width, self.test_image2.height) - 260) < 3)
self.assertTrue(self.test_image3.load()[self.test_image3.width/2, self.test_image3.height/2] == (255, 0, 255))
self.assertTrue(abs(max(self.test_image2.width, self.test_image2.height) - 260) < 3)
self.assertTrue(self.test_image4.load()[self.test_image4.width/2, self.test_image4.height/2] == (0, 255, 255))
self.assertTrue(abs(max(self.test_image2.width, self.test_image2.height) - 260) < 3)
self.assertTrue(self.test_image5.load()[self.test_image5.width/2, self.test_image5.height/2] == (66, 66, 66))
"""
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tests/test_django_url_check.py | jambonsw/django-url-checks | 5 | 109633 | <filename>tests/test_django_url_check.py
"""Tests for django-url-check"""
import url_checks
def test_version():
"""Check that package has a version"""
assert hasattr(url_checks, "__version__")
assert isinstance(url_checks.__version__, str)
def test_default_app():
"""Check that package has a default Django app
https://docs.djangoproject.com/en/stable/ref/applications/#configuring-applications
"""
assert hasattr(url_checks, "default_app_config")
assert isinstance(url_checks.default_app_config, str)
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controllers/json_types.py | OSevangelist/vsf-odoo | 84 | 1616938 | <gh_stars>10-100
import urllib.parse
class JSONTypes():
@staticmethod
def productJSON(name, item_id, code, price, attribute_line_ids, variants, configurable_children, size_attribute_name, color_attribute_name, host_odoo):
# Configurable options
configurable_options_array = []
for variant in variants:
configurable_options_array.append(
JSONTypes.configurable_option_JSON(
variant,
item_id,
size_attribute_name,
color_attribute_name
)
)
# Configurable children
configurable_children_array = []
for configurable in configurable_children:
configurable_children_array.append(
JSONTypes.configurable_children_JSON(
name,
configurable,
item_id,
size_attribute_name,
color_attribute_name,
host_odoo
)
)
# First variant id
first_variant_id = configurable_children[0].get("id")
source = {
"attribute_line_ids": attribute_line_ids,
"variants": variants,
"configurable_children_array": configurable_children_array,
"pattern":"197",
"description": "La nueva temporada llega con un estilo que te renovará de pies a cabeza como nunca antes. Los nuevos colores de la temporada 2019 llegan para quedarse en esta nueva colección con la marca como protagonista de tu nuevo estilo.",
"eco_collection":"1",
# START OF CONFIGURABLE OPTIONS
"configurable_options_original": variants,
"configurable_options": configurable_options_array,
# END OF CONFIGURABLE OPTIONS
"tsk":1551705236617,
"custom_attributes": None,
"size_options":[],
"regular_price":29,
"erin_recommends":"0",
"final_price": price,
"price":29,
"color_options":[],
"links":{},
"id": item_id,
"category_ids":[
"25",
"33",
"8",
"36",
"2"
],
"sku": str(item_id),
"stock":{
"min_sale_qty":1,
"item_id":item_id,
"min_qty":0,
"stock_status_changed_auto":0,
"is_in_stock":True,
"max_sale_qty":10000,
"show_default_notification_message":False,
"backorders":0,
"product_id":item_id,
"qty":0,
"is_decimal_divided":False,
"is_qty_decimal":False,
"low_stock_date": None,
"use_config_qty_increments":True
},
"slug": code,
"url_path": code,
"image": host_odoo + "/web/image/product.product/" + str(first_variant_id) + "/image",
"new":"1",
"thumbnail": host_odoo + "/web/image/product.product/" + str(first_variant_id) + "/image",
"visibility":4,
"type_id":"configurable",
"tax_class_id":"2",
"media_gallery": [],
"climate":"205,209",
"style_general":"136",
"url_key": JSONTypes.url_key(name),
"performance_fabric":"0",
"sale":"0",
"max_price": price,
"minimal_regular_price": price,
"material":"153,154",
"special_price":0,
"minimal_price": price,
"name": name,
# START OF CONFIGURABLE CHILDREN
"configurable_children_original": configurable_children,
"configurable_children": configurable_children_array,
# END OF CONFIGURABLE CHILDREN
"max_regular_price": price,
"category":[],
"status":1,
"priceTax":6.67,
"priceInclTax": price,
"specialPriceTax": None,
"specialPriceInclTax": None
}
return {
"_source": source,
"_score": 1
}
@staticmethod
def configurable_option_JSON(variant, item_id, size_attribute_name, color_attribute_name):
attribute_id = variant.get("attribute_id")[0]
attribute_name = variant.get("attribute_id")[1]
attribute_label_json = None
attribute_code_json = None
if attribute_name == size_attribute_name:
attribute_label_json = "Size"
attribute_code_json = "size"
elif attribute_name == color_attribute_name:
attribute_label_json = "Color"
attribute_code_json = "color"
values_array = []
attributes = variant.get("attributes")
for attribute in attributes:
if attribute_name == size_attribute_name:
values_array.append({
"value_index": attribute[0].get("id"),
"label": str(attribute[0].get("name")),
})
elif attribute_name == color_attribute_name:
values_array.append({
"value_index": attribute[0].get("id"),
"label": "#" + str(attribute[0].get("html_color")),
})
result = {
"attribute_id": attribute_id,
"values": values_array,
"product_id": item_id,
"id": attribute_id,
"label": attribute_label_json,
"position": 0,
"attribute_code": attribute_code_json
}
return result
@staticmethod
def url_key(name):
return urllib.parse.quote_plus(name).lower().replace("+", "-")
@staticmethod
def configurable_children_JSON(name, configurable, item_id, size_attribute_name, color_attribute_name, host_odoo):
# Get size and color
size_id = None
color_id = None
attributes = configurable.get("attributes")
for attribute in attributes:
attribute_name = attribute[0].get("attribute_id")[1]
if attribute_name == size_attribute_name:
size_id = attribute[0].get("id")
elif attribute_name == color_attribute_name:
color_id = attribute[0].get("id")
size_id_string = str(size_id)
color_id_string = str(color_id)
result = {
"image": host_odoo + "/web/image/product.product/" + str(configurable.get("id")) + "/image",
"thumbnail": host_odoo + "/web/image/product.product/" + str(configurable.get("id")) + "/image",
"color": color_id_string,
"small_image": host_odoo + "/web/image/product.product/" + str(configurable.get("id")) + "/image",
"tax_class_id":"2",
"has_options":"0",
"url_key": JSONTypes.url_key(name),
"regular_price": configurable.get("list_price"),
"required_options":"0",
"max_price": configurable.get("list_price"),
"minimal_regular_price": configurable.get("list_price"),
"size": size_id_string,
"final_price": configurable.get("list_price"),
"special_price":0,
"price":29,
"minimal_price": configurable.get("list_price"),
"name": size_id_string + "-" + color_id_string,
"id": configurable.get("id"),
"category_ids":[],
"sku": str(configurable.get("id")),
"max_regular_price": configurable.get("list_price"),
"status":1,
"priceTax":6.67,
"priceInclTax": configurable.get("list_price"),
"specialPriceTax": None,
"specialPriceInclTax": None
}
return result
@staticmethod
def attributeJSON(attribute_id, attribute_code, default_frontend_label):
return {
"is_wysiwyg_enabled": False,
"is_html_allowed_on_front": True,
"used_for_sort_by": False,
"is_filterable": True,
"is_filterable_in_search": False,
"is_used_in_grid": False,
"is_visible_in_grid": False,
"is_filterable_in_grid": False,
"position": 0,
"apply_to": [],
"is_searchable": "0",
"is_visible_in_advanced_search": "0",
"is_comparable": "0",
"is_used_for_promo_rules": "1",
"is_visible_on_front": "0",
"used_in_product_listing": "1",
"is_visible": True,
"scope": "global",
"attribute_id": attribute_id,
"attribute_code": attribute_code,
"frontend_input": "select",
"entity_type_id": "4",
"is_required": False,
"options": [],
"is_user_defined": True,
"default_frontend_label": default_frontend_label,
"frontend_labels": None,
"backend_type": "int",
"is_unique": "0",
"validation_rules": [],
"id": 142,
"tsk": 1512134647691,
"default_value": "91",
"source_model": "Magento\\Eav\\Model\\Entity\\Attribute\\Source\\Table",
"sgn": "vHkjS2mGumtgjjzlDrGJnF6i8EeUU2twc2zkZe69ABc"
}
@staticmethod
def category_json(name, id, parent_id, childs, level, category_offset):
children_data = []
for child in childs:
children_data.append({
"id": child
})
children_count = len(children_data)
if children_count == 0:
result = {
"_index":"vue_storefront_catalog_1552559102",
"_type":"category",
"_id": id,
"_score": None,
"_source":{
"path":"1/2/20",
"is_active": True,
"level": level,
"product_count":1,
"children_count": str(children_count),
"parent_id": parent_id,
"name": name,
"id": id + category_offset,
"url_path": "categories/category-" + str(id + category_offset),
"url_key": str(id + category_offset),
},
"sort":[
2
]
}
else:
result = {
"_index": "vue_storefront_catalog_1552559102",
"_type": "category",
"_id": id,
"_score": None,
"_source": {
"path": "1/2/20",
"is_active": True,
"level": level,
"product_count": 1,
"children_count": str(children_count),
"parent_id": parent_id,
"name": name,
"id": id + category_offset,
"url_path": "categories/category-" + str(id + category_offset),
"url_key": str(id + category_offset),
"children_data": children_data
},
"sort": [
2
]
}
return result
@staticmethod
def categories_to_response(categories, level, parent_id, category_offset):
categories_array = []
for category in categories:
categories_array.append(JSONTypes.category_json(
category["name"],
category["id"],
parent_id,
category["child_id"],
level,
category_offset
))
response = {
"took": 1,
"timed_out": False,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 6,
"max_score": None,
"hits": categories_array
}
}
return response
@staticmethod
def attributeJSON(
is_html_allowed_on_front,
used_for_sort_by,
is_used_in_grid,
is_filterable_in_grid,
apply_to,
is_searchable,
is_visible_in_advanced_search,
is_used_for_promo_rules,
used_in_product_listing,
attribute_id,
attribute_code,
frontend_input,
is_required,
options,
is_user_defined,
default_frontend_label,
backend_type,
backend_model,
source_model,
default_value,
id
):
response = {
"is_wysiwyg_enabled": False,
"is_html_allowed_on_front": is_html_allowed_on_front,
"used_for_sort_by": used_for_sort_by,
"is_filterable": True,
"is_filterable_in_search": False,
"is_used_in_grid": is_used_in_grid,
"is_visible_in_grid": False,
"is_filterable_in_grid": is_filterable_in_grid,
"position":0,
"apply_to": apply_to,
"is_searchable": is_searchable,
"is_visible_in_advanced_search": is_visible_in_advanced_search,
"is_comparable":"0",
"is_used_for_promo_rules": is_used_for_promo_rules,
"is_visible_on_front":"0",
"used_in_product_listing": used_in_product_listing,
"is_visible": True,
"scope":"global",
"attribute_id": attribute_id,
"attribute_code": attribute_code,
"frontend_input": frontend_input,
"entity_type_id":"4",
"is_required": is_required,
"options": options,
"is_user_defined": is_user_defined,
"default_frontend_label": default_frontend_label,
"frontend_labels": None,
"backend_type": backend_type,
"backend_model": backend_model,
"source_model": source_model,
"default_value": default_value,
"is_unique":"0",
"validation_rules":[
],
"id": id,
"tsk":1551705231251
}
return response
@staticmethod
def order_json(
order_id,
confirmation_date,
amount_total,
amount_tax,
amount_untaxed,
shipping_amount,
discount_amount,
items_array,
name,
lastname,
city,
postcode,
street,
):
result = {
"applied_rule_ids": "1,5",
"base_currency_code": "USD",
"base_discount_amount": (-1) * discount_amount,
"base_grand_total": amount_total,
"base_discount_tax_compensation_amount": 0,
"base_shipping_amount": shipping_amount,
"base_shipping_discount_amount": 0,
"base_shipping_incl_tax": shipping_amount,
"base_shipping_tax_amount": 0,
"base_subtotal": amount_untaxed,
"base_subtotal_incl_tax": amount_total,
"base_tax_amount": amount_tax,
"base_total_due": amount_total,
"base_to_global_rate": 1,
"base_to_order_rate": 1,
"billing_address_id": 204,
"created_at": confirmation_date,
"customer_email": "<EMAIL>",
"customer_group_id": 0,
"customer_is_guest": 1,
"customer_note_notify": 1,
"discount_amount": (-1) * discount_amount,
"email_sent": 1,
"entity_id": order_id,
"global_currency_code": "USD",
"grand_total": amount_total,
"discount_tax_compensation_amount": 0,
"increment_id": str(order_id),
"is_virtual": 0,
"order_currency_code": "USD",
"protect_code": "3984835d33abd2423b8a47efd0f74579",
"quote_id": 1112,
"shipping_amount": shipping_amount,
"shipping_description": "Flat Rate - Fixed",
"shipping_discount_amount": 0,
"shipping_discount_tax_compensation_amount": 0,
"shipping_incl_tax": shipping_amount,
"shipping_tax_amount": 0,
"state": "new",
"status": "pending",
"store_currency_code": "USD",
"store_id": 1,
"store_name": "Main Website\nMain Website Store\n",
"store_to_base_rate": 0,
"store_to_order_rate": 0,
"subtotal": amount_untaxed,
"subtotal_incl_tax": amount_total,
"tax_amount": amount_tax,
"total_due": amount_total,
"total_item_count": 1,
"total_qty_ordered": 1,
"updated_at": confirmation_date,
"weight": 1,
"items": items_array,
"billing_address": {
"address_type": "billing",
"city": city,
"company": "Divante",
"country_id": "PL",
"email": "<EMAIL>",
"entity_id": 204,
"firstname": name,
"lastname": lastname,
"parent_id": order_id,
"postcode": postcode,
"street": [
street,
""
],
"telephone": None,
"vat_id": "PL8951930748"
},
"payment": {
"account_status": None,
"additional_information": [
"Cash On Delivery",
""
],
"amount_ordered": amount_total,
"base_amount_ordered": amount_total,
"base_shipping_amount": shipping_amount,
"cc_last4": None,
"entity_id": order_id,
"method": "cashondelivery",
"parent_id": order_id,
"shipping_amount": 5
},
"status_histories": [],
"extension_attributes": {
"shipping_assignments": [
{
"shipping": {
"address": {
"address_type": "shipping",
"city": city,
"company": "NA",
"country_id": "PL",
"email": "<EMAIL>",
"entity_id": 203,
"firstname": name,
"lastname": lastname,
"parent_id": order_id,
"postcode": postcode,
"street": [
street,
""
],
"telephone": None
},
"method": "flatrate_flatrate",
"total": {
"base_shipping_amount": shipping_amount,
"base_shipping_discount_amount": 0,
"base_shipping_incl_tax": shipping_amount,
"base_shipping_tax_amount": 0,
"shipping_amount": shipping_amount,
"shipping_discount_amount": 0,
"shipping_discount_tax_compensation_amount": 0,
"shipping_incl_tax": shipping_amount,
"shipping_tax_amount": 0
}
},
"items": items_array
}
]
}
}
return result
@staticmethod
def order_item_json(
order_id,
confirmation_date,
item_name,
sku,
price_unit_with_tax,
quantity,
row_total_with_tax,
discount_amount,
):
result = {
"amount_refunded": 0,
"applied_rule_ids": "1,5",
"base_amount_refunded": 0,
"base_discount_amount": discount_amount,
"base_discount_invoiced": 0,
"base_discount_tax_compensation_amount": 0,
"base_original_price": 22,
"base_price": 22,
"base_price_incl_tax": price_unit_with_tax,
"base_row_invoiced": 0,
"base_row_total": 22,
"base_row_total_incl_tax": row_total_with_tax,
"base_tax_amount": 4.3,
"base_tax_invoiced": 0,
"created_at": confirmation_date,
"discount_amount": discount_amount,
"discount_invoiced": 0,
"discount_percent": 15,
"free_shipping": 0,
"discount_tax_compensation_amount": 0,
"is_qty_decimal": 0,
"is_virtual": 0,
"item_id": 224,
"name": item_name,
"no_discount": 0,
"order_id": order_id,
"original_price": 22,
"price": 22,
"price_incl_tax": price_unit_with_tax,
"product_id": 1546,
"product_type": "simple",
"qty_canceled": 0,
"qty_invoiced": 0,
"qty_ordered": 1,
"qty_refunded": 0,
"qty_shipped": 0,
"quote_item_id": 675,
"row_invoiced": 0,
"row_total": 22,
"row_total_incl_tax": row_total_with_tax,
"row_weight": 1,
"sku": str(sku),
"store_id": 1,
"tax_amount": 4.3,
"tax_invoiced": 0,
"tax_percent": 23,
"updated_at": confirmation_date,
"weight": 1
}
return result
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] |
roomtools/checks.py | entchen66/sinbad3.1 | 0 | 135269 | from typing import TYPE_CHECKING
from redbot.core import commands
if TYPE_CHECKING:
from . import RoomTools
def tmpc_active():
async def check(ctx: commands.Context):
if not ctx.guild:
return False
cog = ctx.bot.get_cog("RoomTools")
if TYPE_CHECKING:
assert isinstance(cog, RoomTools) # nosec
if not cog:
return False
return await cog.tmpc_config.guild(ctx.guild).active()
return commands.check(check)
def aa_active():
async def check(ctx: commands.Context):
if not ctx.guild:
return False
cog = ctx.bot.get_cog("RoomTools")
if TYPE_CHECKING:
assert isinstance(cog, RoomTools) # nosec
if not cog:
return False
return await cog.ar_config.guild(ctx.guild).active()
return commands.check(check)
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] |
recipes/LibriMix/prepare_data.py | anonymspeechbrain/speechbrain | 0 | 65899 | <reponame>anonymspeechbrain/speechbrain<gh_stars>0
"""
The functions to create the .csv files for LibriMix
Author
* Anonymous
"""
import os
import csv
def prepare_librimix(
datapath,
savepath,
n_spks=2,
skip_prep=False,
librimix_addnoise=False,
fs=8000,
):
"""
Prepare .csv files for librimix
Arguments:
----------
datapath (str) : path for the wsj0-mix dataset.
savepath (str) : path where we save the csv file.
n_spks (int): number of speakers
skip_prep (bool): If True, skip data preparation
librimix_addnoise: If True, add whamnoise to librimix datasets
"""
if skip_prep:
return
if "Libri" in datapath:
# Libri 2/3Mix datasets
if n_spks == 2:
assert (
"Libri2Mix" in datapath
), "Inconsistent number of speakers and datapath"
create_libri2mix_csv(datapath, savepath, addnoise=librimix_addnoise)
elif n_spks == 3:
assert (
"Libri3Mix" in datapath
), "Inconsistent number of speakers and datapath"
create_libri3mix_csv(datapath, savepath, addnoise=librimix_addnoise)
else:
raise ValueError("Unsupported Number of Speakers")
else:
raise ValueError("Unsupported Dataset")
def create_libri2mix_csv(
datapath,
savepath,
addnoise=False,
version="wav8k/min/",
set_types=["train-360", "dev", "test"],
):
"""
This functions creates the .csv file for the libri2mix dataset
"""
for set_type in set_types:
if addnoise:
mix_path = os.path.join(datapath, version, set_type, "mix_both/")
else:
mix_path = os.path.join(datapath, version, set_type, "mix_clean/")
s1_path = os.path.join(datapath, version, set_type, "s1/")
s2_path = os.path.join(datapath, version, set_type, "s2/")
noise_path = os.path.join(datapath, version, set_type, "noise/")
files = os.listdir(mix_path)
mix_fl_paths = [mix_path + fl for fl in files]
s1_fl_paths = [s1_path + fl for fl in files]
s2_fl_paths = [s2_path + fl for fl in files]
noise_fl_paths = [noise_path + fl for fl in files]
csv_columns = [
"ID",
"duration",
"mix_wav",
"mix_wav_format",
"mix_wav_opts",
"s1_wav",
"s1_wav_format",
"s1_wav_opts",
"s2_wav",
"s2_wav_format",
"s2_wav_opts",
"noise_wav",
"noise_wav_format",
"noise_wav_opts",
]
with open(savepath + "/libri2mix_" + set_type + ".csv", "w") as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=csv_columns)
writer.writeheader()
for i, (mix_path, s1_path, s2_path, noise_path) in enumerate(
zip(mix_fl_paths, s1_fl_paths, s2_fl_paths, noise_fl_paths)
):
row = {
"ID": i,
"duration": 1.0,
"mix_wav": mix_path,
"mix_wav_format": "wav",
"mix_wav_opts": None,
"s1_wav": s1_path,
"s1_wav_format": "wav",
"s1_wav_opts": None,
"s2_wav": s2_path,
"s2_wav_format": "wav",
"s2_wav_opts": None,
"noise_wav": noise_path,
"noise_wav_format": "wav",
"noise_wav_opts": None,
}
writer.writerow(row)
def create_libri3mix_csv(
datapath,
savepath,
addnoise=False,
version="wav8k/min/",
set_types=["train-360", "dev", "test"],
):
"""
This functions creates the .csv file for the libri3mix dataset
"""
for set_type in set_types:
if addnoise:
mix_path = os.path.join(datapath, version, set_type, "mix_both/")
else:
mix_path = os.path.join(datapath, version, set_type, "mix_clean/")
s1_path = os.path.join(datapath, version, set_type, "s1/")
s2_path = os.path.join(datapath, version, set_type, "s2/")
s3_path = os.path.join(datapath, version, set_type, "s3/")
noise_path = os.path.join(datapath, version, set_type, "noise/")
files = os.listdir(mix_path)
mix_fl_paths = [mix_path + fl for fl in files]
s1_fl_paths = [s1_path + fl for fl in files]
s2_fl_paths = [s2_path + fl for fl in files]
s3_fl_paths = [s3_path + fl for fl in files]
noise_fl_paths = [noise_path + fl for fl in files]
csv_columns = [
"ID",
"duration",
"mix_wav",
"mix_wav_format",
"mix_wav_opts",
"s1_wav",
"s1_wav_format",
"s1_wav_opts",
"s2_wav",
"s2_wav_format",
"s2_wav_opts",
"s3_wav",
"s3_wav_format",
"s3_wav_opts",
"noise_wav",
"noise_wav_format",
"noise_wav_opts",
]
with open(savepath + "/libri3mix_" + set_type + ".csv", "w") as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=csv_columns)
writer.writeheader()
for (
i,
(mix_path, s1_path, s2_path, s3_path, noise_path),
) in enumerate(
zip(
mix_fl_paths,
s1_fl_paths,
s2_fl_paths,
s3_fl_paths,
noise_fl_paths,
)
):
row = {
"ID": i,
"duration": 1.0,
"mix_wav": mix_path,
"mix_wav_format": "wav",
"mix_wav_opts": None,
"s1_wav": s1_path,
"s1_wav_format": "wav",
"s1_wav_opts": None,
"s2_wav": s2_path,
"s2_wav_format": "wav",
"s2_wav_opts": None,
"s3_wav": s3_path,
"s3_wav_format": "wav",
"s3_wav_opts": None,
"noise_wav": noise_path,
"noise_wav_format": "wav",
"noise_wav_opts": None,
}
writer.writerow(row)
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bert/training/trainer.py | 292916808/MolCloze | 0 | 59441 | <gh_stars>0
# !/usr/bin/env python
# -*- coding: utf-8 -*-
# author: chinshin
# datetime: 2020/4/20 15:41
import sys
import tqdm
import torch
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
from .optim_schedule import Scheduleoptim
from bert.model import MolBertLM, MolBertDis, LinearActivation
from bert.model.decoder import InnerProductDecoder, BilinearDecoder, NNBilinearDecoder
def sampling(input_ids, generator_logits, masked_lm_labels):
generator_id = torch.argmax(generator_logits, dim=-1).detach()
origin_input = input_ids.clone()
fake_input = torch.where(masked_lm_labels < 1, origin_input, generator_id)
corrupt_label = (masked_lm_labels != 0)
origin_input[corrupt_label] = masked_lm_labels[corrupt_label]
discriminator_label = torch.eq(origin_input, fake_input)
return generator_id, discriminator_label
def get_energy_loss(device, logits, targets, weights, vocab_size, batch_size, seq_len=140):
# targets = torch.unsqueeze(targets, dim=1)
# print(torch.zeros(batch_size, seq_len, vocab_size).size(), targets.unsqueeze(-1).size())
oh_labels = torch.zeros(batch_size, seq_len, vocab_size).to(device).scatter_(2, targets.unsqueeze(-1), 1)
# ones = torch.sparse.torch.eye(vocab_size).to(device)
# oh_labels = ones.index_select(0, targets)
log_probs = F.log_softmax(logits, dim=-1)
# print(log_probs.size(), oh_labels.size())
label_log_probs = -torch.sum(log_probs * oh_labels, dim=-1)
# print(weights.is_cuda, label_log_probs.is_cuda)
numerator = torch.sum(weights * label_log_probs)
denominator = torch.sum(weights) + 1e-6
loss = numerator/denominator
return loss
def get_token_energy_logits(device, LinearAct, inputs, table, weights, targets, vocab_size, batch_size):
energy_hidden = LinearAct(inputs)
# print(energy_hidden.size(), table.size())
logits = torch.matmul(energy_hidden, table.transpose(-2,-1))
energy_loss = get_energy_loss(device, logits, targets, weights, vocab_size, batch_size)
return logits, energy_loss
def get_cloze_outputs(device, candidate_mask, LinearAct, inputs, table, targets, vocab_size, batch_size):
weights = candidate_mask.type(torch.FloatTensor).to(device)
logits, energy_loss = get_token_energy_logits(device, LinearAct, inputs, table, weights, targets, vocab_size, batch_size)
return logits, energy_loss, weights
def get_discriminator_energy_loss(device, hidden, dis_output, criterion, input_ids, cloze_logits, weights, vocab_size, \
batch_size, discriminator_label, candidate_mask, mask_prob=0.15, seq_len=140):
# print(input_ids.size())
oh_labels = torch.zeros(batch_size, seq_len, vocab_size).to(device).scatter_(2, input_ids.unsqueeze(-1), 1)
# print(cloze_logits.size(), oh_labels.size())
log_q = torch.sum(F.log_softmax(cloze_logits, -1) * oh_labels.type(torch.FloatTensor).to(device), dim=-1).detach()
# print(logits.size(), log_q.size())
logits = torch.squeeze(hidden(dis_output), -1)
logits += log_q
logits += torch.log(mask_prob/(1-mask_prob)*torch.ones_like(logits))
unmask_labels = torch.mul(discriminator_label, candidate_mask).type(torch.FloatTensor).to(device)
losses = criterion(logits, unmask_labels) * weights
loss = torch.sum(losses)/(torch.sum(weights)+1e-6)
return loss
class MolBertTrainer(object):
def __init__(self, bert, vocab_size,
train_loader, test_loader, batch_size,
lr=1e-4, betas=(0.9, 0.999),
weight_decay=0.01, warmup_steps=10000,
with_cuda=True, cuda_devices=None,
with_span=False, with_mask=False, with_proximity=False,
log_freq=10, logger=None):
super(MolBertTrainer, self).__init__()
cuda_condition = torch.cuda.is_available() and with_cuda
self.device = torch.device("cuda:0" if cuda_condition else "cpu")
self.vocab_size = vocab_size
self.bert = bert
self.model = MolBertLM(bert, vocab_size).to(self.device)
self.discriminator = MolBertDis(bert).to(self.device)
self.get_energy_logits = LinearActivation(self.bert.hidden, self.bert.hidden).to(self.device)
self.dis_energy_preds = LinearActivation(self.bert.hidden, 1).to(self.device)
if with_cuda and torch.cuda.device_count() > 1:
logger.info('Using {} GPUs for Bert'.format(torch.cuda.device_count()))
self.model = nn.DataParallel(self.model, device_ids=cuda_devices)
self.discriminator = nn.DataParallel(self.discriminator, device_ids=cuda_devices)
self.train_loader = train_loader
self.test_loader = test_loader
self.optim = torch.optim.Adam(self.model.parameters(), lr=lr, betas=betas, weight_decay=weight_decay)
self.optim_schedule = Scheduleoptim(self.optim, self.bert.hidden, n_warmup_steps=warmup_steps, grad_clip=5.)
self.criterion = nn.NLLLoss(ignore_index=0)
self.dis_det_criterion = nn.BCEWithLogitsLoss()
self.dis_ene_criterion = nn.BCEWithLogitsLoss()
self.with_span = with_span
self.with_mask = with_mask
self.with_proximity = with_proximity
if with_proximity:
# self.decoder = BilinearDecoder(input_dim=bert.hidden)
self.decoder = InnerProductDecoder(input_dim=bert.hidden)
self.dec_criterion = nn.MSELoss()
self.log_freq = log_freq
self.logger = logger
self.batch_size = batch_size
logger.info('Total parameters: {}'.format(
sum([p.nelement() for p in self.model.parameters()])+sum([p.nelement() for p in self.discriminator.parameters()])
))
# def _tie_embeddings(self):
def train(self, epoch):
self.iteration(epoch, self.train_loader)
def test(self, epoch):
self.iteration(epoch, self.test_loader, train=False)
def iteration(self, epoch, loader, train=True):
logger = self.logger
str_code = 'train' if train else 'test'
data_iter = tqdm.tqdm(
enumerate(loader),
desc='{} : epoch {}'.format(str_code, epoch),
total=len(loader),
bar_format='{l_bar}{r_bar}'
)
avg_loss = 0.0
avg_dec_loss = 0.0
for i, data in data_iter:
# 0. batch_data will be sent into the device
data = {key: value.to(self.device) for key, value in data.items()}
bert_table = [i for i in range(self.vocab_size)]
bert_table = torch.LongTensor(bert_table).to(self.device)
bert_table = self.bert.embedding.token(bert_table)
# 1. forward masked_lm_model
# # for span masking
# mask_lm_output, bert_outputs = self.model.forward(data['bert_input'], data['segment_label'])
if self.with_span:
mask_lm_output, _, bert_output = self.model.forward(data['bert_input'], data['segment_label'],
data['masked_adj'])
elif self.with_mask:
mask_lm_output, _, bert_output = self.model.forward(data['bert_input'], data['segment_label'],
data['masked_adj'])
elif self.with_proximity:
mask_lm_output, _, bert_output = self.model.forward(data['bert_input'], data['segment_label'],
data['masked_adj'])
rec_adj = self.decoder(bert_outputs[-1])
ori_adj = data['bert_adj'].view(-1)
dec_loss = self.dec_criterion(rec_adj, ori_adj)
else:
mask_lm_output, _, bert_output = self.model.forward(data['bert_input'], data['segment_label'])
# print(data['bert_input'].size()[0])
# 2-1. NLL(negative log likelihood) loss
# mask_lm_output = (mask_lm_output < 1e-6) * torch.ones_like(mask_lm_output) * 1e-6 + (mask_lm_output >= 1e-6) * mask_lm_output
mask_loss = self.criterion(mask_lm_output.transpose(1, 2), data['bert_label'])
# print(data['bert_table'][0])
# print(self.bert.embedding.token(data['bert_table'][0]).size())
cloze_logits, gen_ene_loss, weights = get_cloze_outputs(self.device, data['bert_mask'], self.get_energy_logits, bert_output, \
bert_table, data['bert_input'], self.vocab_size, data['bert_input'].size()[0])
discriminator_input, discriminator_label = sampling(data['bert_input'], bert_output, data['bert_label'])
if self.with_mask:
dis_preds, dis_output = self.discriminator.forward(discriminator_input, data['segment_label'], data['masked_adj'])
else:
dis_preds, dis_output = self.discriminator.forward(discriminator_input, data['segment_label'])
# print(dis_output.size())
# print(data['bert_label'].size(), mask_lm_output.size(), dis_output.size())
dis_det_loss = self.dis_det_criterion(dis_preds.view(-1), discriminator_label.view(-1).float())
dis_ene_loss = get_discriminator_energy_loss(self.device, self.dis_energy_preds, dis_output, self.dis_ene_criterion, discriminator_input, cloze_logits, weights, \
self.vocab_size, self.batch_size, discriminator_label, data['bert_mask'])
# print(gen_ene_loss, dis_ene_loss)
loss = mask_loss + 20 * dis_det_loss + (gen_ene_loss + dis_ene_loss)
if np.isnan(loss.item()):
print(data['bert_input'])
print(mask_lm_output)
sys.exit(-1)
if self.with_proximity:
loss += dec_loss
avg_dec_loss += dec_loss
# 3. backward and optimization only in train
if train:
self.optim_schedule.zero_grad()
loss.backward()
self.optim_schedule.step_and_update_lr()
avg_loss += loss.item()
post_fix = {
'epoch': epoch,
'iter': i,
'avg_loss': avg_loss / (i + 1),
'loss': loss.item(),
'mask_loss': mask_loss.item(),
'gen_ene_loss': gen_ene_loss.item(),
'dis_det_loss': dis_det_loss.item(),
'dis_ene_loss': dis_ene_loss.item()
}
if self.with_proximity:
post_fix.update(
{'avg_dec_loss': avg_dec_loss.item() / (i + 1)}
)
if i % self.log_freq == 0:
data_iter.write(str(post_fix))
logger.info('{} : epoch {}, avg_loss = {:.4f}'.format(
str_code, epoch, avg_loss / len(data_iter)
))
def save(self, epoch, file_path='output/bert_trained.model'):
logger = self.logger
output_filepath = file_path + '.ep{}'.format(epoch)
torch.save(self.bert.cpu(), output_filepath)
self.bert.to(self.device)
logger.info('Epoch {:>3d} Model save on: {}'.format(
epoch, output_filepath
))
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pymongoimport/restart.py | jdrumgoole/pymongodbimport | 1 | 109788 | """
Created on 30 Jul 2017
@author: jdrumgoole
"""
import socket
import sys
from datetime import datetime
from enum import Enum
import pymongo
from pymongoimport.canonical_path import Canonical_Path
class Restart_State(Enum):
undefined = 0
start = 1
inprogress = 2
finish = 3
class Restarter(object):
"""
Track insertion of a collection of docs by adding the last inserted
ID into a collection called "restartlog". Each time we insert we add
a doc with a timestamp and an ID field and a count of the number of
entries inserted to date. The doc also contains a batch
start time.
These class assumes the object ID is defined by default as per the MongoDB docs
(https://docs.mongodb.com/manual/reference/method/ObjectId/). In this case in a single run
of the pymongoimport the IDs will contain identical host and process components. We can use
these fields to identify inserts that happened in the previous run. So we search for all inserts
with an ID greater than the ID in the restartlog.
We then scan that list of inserts for a matching ID
(remember we may be running multiple batch uploads in parallel) to find the inserts related to this
batch restart. Once we have that list of matching inserts then we have the count of objects inserted.
Now we know where the restart position should be (restartlog number of entries + len( list of matching inserts)
We can now skip() to that position in the input file and update the restart log.
"""
def __init__(self, database, input_filename, batch_size, cmd=None):
"""
Constructor
"""
self._audit = database["AUDIT"]
self._name = Canonical_Path(input_filename)
self._batch_size = batch_size
self._hostname = socket.gethostname()
if cmd is None:
self._cmd = " ".join(sys.argv)
else:
self._cmd = cmd
self._restartDoc = self._audit.find_one({"name": self._name(),
"state": "inprogress"})
if self._restartDoc is None:
self.start()
@staticmethod
def split_ID(doc_id):
"""
Split a MongoDB Object ID
a 4-byte value representing the seconds since the Unix epoch,
a 3-byte machine identifier,
a 2-byte process id, and
A 3-byte counter, starting with a random value.
"""
id_str = str(doc_id)
# epoch 0 machine 1 process ID 2 counter 3
return (id_str[0:8], id_str[8:14], id_str[14:18], id_str[18:24])
def start(self):
self._audit.insert_one({"name": self._name(),
"ts": datetime.utcnow(),
"batch_size": self._batch_size,
"command": self._cmd,
"state": Restart_State.start})
def update(self, doc_id, count):
self._audit.insert_one({"name": self._name(),
"count": count,
"ts": datetime.utcnow(),
"doc_id": doc_id,
"state": Restart_State.inprogress})
def restart(self, collection):
"""
Get the restart doc. Now find any docs created after the restart doc was created
within the same process and machine. Count those so we know where we are.
Return the new doc count that we can skip too.
"""
self._restartDoc = self._audit.find_one({"name": self._name(),
"state": Restart_State.inprogress})
if self._restartDoc is None: # skip nothing, nothing to restart
return 0
count = self._restartDoc["count"]
(_, machine, pid, _) = Restarter.split_ID(self._restartDoc["doc_id"])
cursor = collection.find({"_id": {"$gt": self._restartDoc["doc_id"]}})
for i in cursor:
(_, i_machine, i_pid, _) = Restarter.split_ID(i["_id"])
if i_machine == machine and i_pid == pid:
count = count + 1
if count == self._restartDoc["batch_size"]:
# we have the full batch, we can't have inserted more than
# this before updating the restart doc
break
return count
def finish(self):
self._restartDoc = self._audit.insert_one({"name": self._name(),
"ts": datetime.utcnow(),
"state": Restart_State.finish})
def _find_last(self, col, doc):
if "ts" in doc:
cursor = col.find(doc).sort({"ts": pymongo.DESCENDING}).limit(1)
for c in cursor:
return c
return None
else:
raise ValueError("_find_last requires a timestamp field 'ts'")
def get_state(self, name):
doc = self._audit.find({"name": name,
"state": Restart_State.finish}).sort({"ts": pymongo.DESCENDING}).limit(1)
if doc:
return Restart_State.finish
doc = self._audit.find_one({"name": name,
"state": Restart_State.inprogress})
if doc:
return Restart_State.inprogress
doc = self._audit.find_one({"name": name,
"state": Restart_State.start})
def reset(self):
self._restartDoc = self._audit.find_one_and_update({"name": self._name()},
{"$set": {"timestamp": datetime.utcnow(),
"batch_size": self._batch_size,
"count": 0,
"last_doc_id": 0,
"state": "inprogress"}})
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] |
neutron/services/logapi/drivers/manager.py | knodir/neutron | 0 | 79977 | <reponame>knodir/neutron
# Copyright (c) 2017 Fujitsu Limited
# 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.
from neutron_lib.callbacks import events
from neutron_lib.callbacks import registry
from neutron_lib import exceptions
from oslo_log import log as logging
from neutron.services.logapi.common import constants as log_const
from neutron.services.logapi.common import exceptions as log_exc
from neutron.services.logapi.rpc import server as server_rpc
LOG = logging.getLogger(__name__)
RESOURCE_CB_CLASS_MAP = {}
# This function should be called by log_driver
def register(resource_type, obj_class):
if resource_type not in RESOURCE_CB_CLASS_MAP:
RESOURCE_CB_CLASS_MAP[resource_type] = obj_class
def _get_param(args, kwargs, name, index):
try:
return kwargs[name]
except KeyError:
try:
return args[index]
except IndexError:
msg = "Missing parameter %s" % name
raise log_exc.LogapiDriverException(exception_msg=msg)
class ResourceCallBackBase(object):
def __new__(cls, *args, **kwargs):
if not hasattr(cls, '_instance'):
cls._instance = super(ResourceCallBackBase, cls).__new__(cls)
return cls._instance
def __init__(self, resource, push_api):
self.resource_push_api = push_api
for event in (events.AFTER_CREATE, events.AFTER_UPDATE,
events.AFTER_DELETE):
registry.subscribe(self.handle_event, resource, event)
def handle_event(self, resource, event, trigger, **kwargs):
"""Handle resource callback event"""
pass
class LoggingServiceDriverManager(object):
def __init__(self):
self._drivers = set()
self.rpc_required = False
registry.publish(log_const.LOGGING_PLUGIN, events.AFTER_INIT, self)
if self.rpc_required:
self._start_rpc_listeners()
self.logging_rpc = server_rpc.LoggingApiNotification()
@property
def drivers(self):
return self._drivers
def register_driver(self, driver):
"""Register driver with logging plugin.
This method is called from drivers on INIT event.
"""
self._drivers.add(driver)
self.rpc_required |= driver.requires_rpc
# Handle callback event AFTER_UPDATE, AFTER_DELETE, AFTER_CREATE of
# resources which related to log object. For example: when a sg_rule
# is added or deleted from security group, if this rule is bounded by a
# log_resources, then it should tell to agent to trigger log_drivers.
self._setup_resources_cb_handle()
def _start_rpc_listeners(self):
self._skeleton = server_rpc.LoggingApiSkeleton()
return self._skeleton.conn.consume_in_threads()
@property
def supported_logging_types(self):
if not self._drivers:
return set()
log_types = set()
for driver in self._drivers:
log_types |= set(driver.supported_logging_types)
LOG.debug("Supported logging types (logging types supported "
"by at least one loaded log_driver): %s", log_types)
return log_types
def call(self, method_name, *args, **kwargs):
"""Helper method for calling a method across all extension drivers."""
exc_list = []
for driver in self._drivers:
try:
getattr(driver, method_name)(*args, **kwargs)
except Exception as exc:
exception_msg = ("Extension driver '%(name)s' failed in "
"%(method)s")
exception_data = {'name': driver.name, 'method': method_name}
LOG.exception(exception_msg, exception_data)
exc_list.append(exc)
if exc_list:
raise exceptions.DriverCallError(exc_list=exc_list)
if self.rpc_required:
context = _get_param(args, kwargs, 'context', index=0)
log_obj = _get_param(args, kwargs, 'log_obj', index=1)
try:
rpc_method = getattr(self.logging_rpc, method_name)
except AttributeError:
LOG.error("Method %s is not implemented in logging RPC",
method_name)
return
rpc_method(context, log_obj)
def _setup_resources_cb_handle(self):
for res, obj_class in RESOURCE_CB_CLASS_MAP.items():
obj_class(res, self.call)
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] |
extensions/rules/checked_proof_test.py | VictoriaRoux/oppia | 3 | 111448 | # coding: utf-8
#
# Copyright 2014 The Oppia 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, softwar
# 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 classification of CheckedProof."""
__author__ = '<NAME>'
from extensions.rules import checked_proof
import test_utils
class CheckedProofRuleUnitTests(test_utils.GenericTestBase):
"""Tests for rules operating on CheckedProof objects."""
correct_example = {
'assumptions_string': 'p',
'target_string': 'q',
'proof_string': 'a proof',
'correct': True
}
incorrect_example_parsing = {
'assumptions_string': 'p',
'target_string': 'q',
'proof_string': 'a proof',
'correct': False,
'error_category': 'parsing',
'error_code': 'a code',
'error_message': 'a message',
'error_line_number': 3
}
incorrect_example_typing = {
'assumptions_string': 'p',
'target_string': 'q',
'proof_string': 'a proof',
'correct': False,
'error_category': 'typing',
'error_code': 'a code',
'error_message': 'a message',
'error_line_number': 4
}
def test_correct_rule(self):
rule = checked_proof.Correct()
self.assertTrue(rule.eval(self.correct_example))
self.assertFalse(rule.eval(self.incorrect_example_parsing))
self.assertFalse(rule.eval(self.incorrect_example_typing))
def test_not_correct_rule(self):
rule = checked_proof.NotCorrect()
self.assertFalse(rule.eval(self.correct_example))
self.assertTrue(rule.eval(self.incorrect_example_parsing))
self.assertTrue(rule.eval(self.incorrect_example_typing))
def test_not_correct_by_category_rule(self):
rule = checked_proof.NotCorrectByCategory('typing')
self.assertFalse(rule.eval(self.correct_example))
self.assertFalse(rule.eval(self.incorrect_example_parsing))
self.assertTrue(rule.eval(self.incorrect_example_typing))
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] |
1.-MapReduce Spark/B-Datos Meteorologicos/Meteorologico_3.py | gorco/sgdi-lab | 0 | 34123 | # coding=utf-8
# Este fichero generado para la asignatura SGDI
# Practica 1 MapReduce Y Spark, Ejercicio B.3
# Autores: <NAME> y <NAME>
# <NAME> y <NAME> declaramos que esta solución es fruto exclusivamente de nuestro
# trabajo personal. No hemos sido ayudados por ninguna otra persona ni hemos obtenido la solución de fuentes externas,
# y tampoco hemos compartido nuestra solución con nadie. Declaramos además que no hemos realizado de manera deshonesta
# ninguna otra actividad que pueda mejorar nuestros resultados ni perjudicar los resultados de los demás.
from mrjob.job import MRJob
from operator import itemgetter
import sys
# 3.- Implementar una tarea MapReduce en mrjob que resuelva este problema utilizando las fases mapper, combiner y
# reducer
class MRMeteoOpt(MRJob):
MRJob.SORT_VALUES = True
# Fase MAP (line es una cadena de texto)
# Devuelve repetido el valor de la bateria para poder trabajar con los valores min, avg y max de manera sencilla en
# la fase combiner permitiendo que tanto entrada como salida sea del mismo formato
def mapper(self, key, line):
word = line.split(',')
if word[0] != 'date-time':
time = word[0].split('/')
yield str(time[1]) + '/' + str(time[0]), (word[8], word[8], word[8], 1)
# Fase COMBINER (key es una cadena texto, values un generador de valores)
def combiner(self, key, values):
valuesList = list(values)
sumValue = 0;
minValue = sys.maxint;
maxValue = 0;
count = 0
for l in valuesList:
sumValue += float(l[0])
count += 1
minValue = float(l[1]) if float(l[1]) < float(minValue) else float(minValue)
maxValue = float(l[2]) if float(l[2]) > float(maxValue) else float(maxValue)
yield key, (sumValue, minValue, maxValue, count)
# Fase REDUCE (key es una cadena texto, values un generador de valores)
def reducer(self, key, values):
valuesList = list(values)
sumValue = 0;
minValue = sys.maxint;
maxValue = 0;
count = 0
for l in valuesList:
sumValue += l[0]
count += l[3]
minValue = float(l[1]) if float(l[1]) < float(minValue) else float(minValue)
maxValue = float(l[2]) if float(l[2]) > float(maxValue) else float(maxValue)
if float(count) > 0:
avgValue = float(sumValue)/float(count)
yield key, dict(max=maxValue, avg=avgValue, min=minValue)
if __name__ == '__main__':
MRMeteoOpt.run()
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] |
venv/Scripts/ex096.py | SamuelNunesDev/starting_point_in_python | 0 | 111947 | <filename>venv/Scripts/ex096.py
def area(l, c):
return f'A área do terreno {l}x{c} é de {l * c:.2f} m²'
print(area(float(input('Qual a largura do terreno? ')), float(input('Qual o comprimento do terreno? '))))
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excut/feedback/rulebased_deduction/deduction_engine_extended.py | mhmgad/ExCut | 5 | 3975 | """
This module contains the rule-based inference (rulebased_deduction engine)
"""
import itertools
from collections import defaultdict
from itertools import chain
from excut.explanations_mining.descriptions import dump_explanations_to_file
from excut.explanations_mining.descriptions_new import Description2, Atom, load_from_file
from excut.explanations_mining.explaining_engines_extended import PathBasedClustersExplainerExtended
from excut.explanations_mining.simple_miner.description_miner_extended import DescriptionMinerExtended, ExplanationStructure
from excut.kg.kg_query_interface_extended import EndPointKGQueryInterfaceExtended, KGQueryInterfaceExtended
from excut.kg.kg_indexing import Indexer
from excut.kg.utils.data_formating import n3_repr
from excut.utils.logging import logger
from excut.kg.utils.Constants import DEFUALT_AUX_RELATION
from excut.clustering import target_entities as tes
class Prediction:
"""
An object to represent the prediction of the rules
:ivar triple: the predicted triple
:ivar all_sources: all rules that predicted the same triple
"""
# def __init__(self, triple: tuple, source_description=Description(), all_sources=None):
def __init__(self, triple=None, sources=None):
self.triple = triple
# self.source_description = source_descriptionf
self.all_sources = sources if sources else list() # sources if sources else {source_description}
def get_subject(self):
return self.triple[0]
def get_object(self):
return self.triple[2]
def get_quality(self, measure='x_coverage', method=max):
# return self.source_description.get_quality(measure)
return method([source.get_quality(measure) for source in self.all_sources])
def get_main_description(self, measure='x_coverage', method=max):
return method(self.all_sources, key=lambda d: d.get_quality(measure))
def __str__(self):
return str(self.triple) + '<<' + str(self.get_main_description())
def __repr__(self):
return "%s\t(\t%s,%s)" % (self.__class__.__name__, repr(self.triple), repr(self.all_sources))
def __eq__(self, other):
return other.triple == self.triple
def __hash__(self):
return hash(self.triple)
class DeductionEngine():
"""
Abstract rulebased_deduction/inference engine.
"""
def __init__(self, **kwargs):
pass
def infer(self, descriptions, recursive=False, topk=-1):
pass
class SparqlBasedDeductionEngineExtended(DeductionEngine):
"""
Deduction engine that converts the rules to sparql and fire them over the KG.
The rule-based_deduction takes care of consolidating similar predictions
"""
def __init__(self, kg_query_interface: KGQueryInterfaceExtended, relation=DEFUALT_AUX_RELATION, quality='x_coverage', quality_aggregation=max):
"""
:param kg_query_interface: interface for the KG.
:param relation: the relation used in the predicted triple (optional)
:param quality: objective quality measure for ranking the predictions (optional) by default
the exclusive coverage of the rules is used
:param quality_aggregation: the methd used for aggregating the score if multiple rules infers the same fact
(optional) by default max is used.
"""
super(SparqlBasedDeductionEngineExtended, self).__init__()
self.relation = relation
self.query_executer = kg_query_interface
self.quality = quality
self.quality_aggregation = quality_aggregation
self.labels_indexer=Indexer(store=kg_query_interface.type,
endpoint=kg_query_interface.endpoint,
graph= kg_query_interface.labels_graph,
identifier=kg_query_interface.labels_identifier)
def infer(self, descriptions_list, target_entities=None, min_quality=0, topk=-1, output_filepath=None,
clear_target_entities=True):
"""
Infer new facts for a giving set of descriptions
:param descriptions_list: list of explantions/descriptions rules
:param target_entities: entities and their labels for which predictions are generated
:param min_quality: minimum aggregated quality for the predictions
:param topk: k *distinct* highest quality predictions per entity,
:param output_filepath: predictions output file.
:param clear_target_entities: clear indexed target entities after done inference
:return: dictionary of predicted entity-clusters assignments
"""
if isinstance(descriptions_list,dict):
descriptions_list=list(itertools.chain.from_iterable(descriptions_list.values()))
if target_entities:
self.labels_indexer.index_triples(target_entities)
self.relation=target_entities.get_relation()
predictions = list(map(self._infer_single, descriptions_list))
per_entity_predictions = self.consolidate(predictions)
per_entity_predictions = self._merge_and_sort_cut(per_entity_predictions, min_quality, topk=topk)
if output_filepath:
dump_predictions_map(per_entity_predictions, output_filepath, triple_format=True, topk=topk, with_weight=True,
with_description=False, quality=self.quality)
if target_entities and clear_target_entities:
self.labels_indexer.drop()
return per_entity_predictions
def consolidate(self, predictions):
"""
Combine predictions from different rules
:param predictions: list of generated predictions
:return: combined single prediction with several sources for equivalent predictions
:rtype: dict
"""
# per_var_predictions = defaultdict(lambda: defaultdict(list))
# for p in chain.from_iterable(predictions):
# per_var_predictions[p.get_subject()][p.get_object()].append(p)
per_entity_predictions = defaultdict(lambda: defaultdict(Prediction))
for p in list(chain.from_iterable(predictions)):
cons_pred = per_entity_predictions[p.get_subject()][p.get_object()]
cons_pred.triple = p.triple
cons_pred.all_sources += p.all_sources
return per_entity_predictions
def _merge_and_sort_cut(self, per_entity_prediction, threshold=0, topk=-1):
"""
Merge the the inferred facts in case of functional predicates
:param per_entity_prediction:
:return:
"""
def quality_method(p):
return p.get_quality(self.quality, self.quality_aggregation)
per_entity_prediction_filtered = defaultdict(list)
for sub, per_obj_predictions in per_entity_prediction.items():
# print([(k, p.triple[2], qaulity_method(p)) for k, p in per_obj_predictions.items()])
merged_predictions = list(
filter(lambda p: quality_method(p) > threshold, list(per_obj_predictions.values())))
merged_predictions.sort(key=quality_method, reverse=True)
include = topk if topk > 0 else len(merged_predictions)
per_entity_prediction_filtered[sub] = merged_predictions[:include]
return per_entity_prediction_filtered
def _infer_single(self, description: Description2):
"""
Infer new facts for the given Description
:param description:
:return:
"""
bindings = self.query_executer.get_arguments_bindings(description,
restriction_pattern=Description2(body=[Atom('?x',
self.relation,
'?z')]))
head = description.head
# only supports p(?x,CONSTANT)
predictions = [Prediction((b, head.predicate, head.object), [description]) for b in bindings]
return predictions
def dump_predictions_map(per_var_predictions, out_filepath, triple_format=True, topk=-1, with_weight=True,
with_description=False, quality='x_coverage'):
"""
Writes the predictions to two files, the first is human readable and the other with .parsable extension that can be
parsed in python.
:param per_var_predictions:
:param out_filepath:
:param triple_format:
:param topk:
:param with_weight:
:param with_description:
:return:
"""
out_file_parsable = out_filepath + '.parsable'
out_filepath_with_type = out_filepath + ('.%s' % quality if len(quality) > 0 else '')
with open(out_filepath_with_type, 'w') as out_file:
for var, predictions in per_var_predictions.items():
if topk > 0:
predictions = predictions[:topk]
for p in predictions:
if triple_format:
# I only output normalized_coverage
out_str = n3_repr(p.triple) + ('\t%f' % p.get_quality(quality) if with_weight else '') + (
'\t%s' % p.source_description if with_description else '')
else:
out_str = str(p)
out_file.write(out_str)
out_file.write('\n')
with open(out_file_parsable + ('.%s' % quality if len(quality) > 0 else ''), 'w') as out_file:
out_file.write('\n'.join(
map(str, chain.from_iterable(map(lambda l: l[:topk] if topk > 0 else l, per_var_predictions.values())))))
return out_filepath_with_type
if __name__ == '__main__':
target_entities=tes.load_from_file('/scratch/GW/pool0/gadelrab/ExDEC/data/yago/yago_art_3_4k.tsv')
vos_executer = EndPointKGQueryInterfaceExtended('http://halimede:8890/sparql',
['http://yago-expr.org', 'http://yago-expr.org.types'],
labels_identifier='http://yago-expr.org.labels')
explainer=PathBasedClustersExplainerExtended(vos_executer, language_bias={'max_length': 4, 'structure': ExplanationStructure.TREE})
explans=explainer.explain(target_entities,
output_file='/scratch/GW/pool0/gadelrab/ExDEC/tmp/explanations_tree.txt')
ded = SparqlBasedDeductionEngineExtended(vos_executer)
per_var_predictions = ded.infer(explans, target_entities,
output_filepath='/scratch/GW/pool0/gadelrab/ExDEC/tmp/predictions_tree.tsv')
logger.info("Total variables with predictions subjects: %i", len(per_var_predictions))
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29990,
29918,
1525,
29931,
8098,
13,
3166,
5566,
329,
29889,
695,
504,
3241,
1053,
3646,
29918,
296,
1907,
408,
260,
267,
13,
13,
13,
1990,
21099,
2463,
29901,
13,
1678,
9995,
13,
1678,
530,
1203,
304,
2755,
278,
18988,
310,
278,
6865,
13,
13,
1678,
584,
440,
279,
21954,
29901,
278,
25383,
21954,
13,
1678,
584,
440,
279,
599,
29918,
29879,
2863,
29901,
599,
6865,
393,
25383,
278,
1021,
21954,
13,
1678,
9995,
13,
13,
1678,
396,
822,
4770,
2344,
12035,
1311,
29892,
21954,
29901,
18761,
29892,
2752,
29918,
8216,
29922,
9868,
3285,
599,
29918,
29879,
2863,
29922,
8516,
1125,
13,
1678,
822,
4770,
2344,
12035,
1311,
29892,
21954,
29922,
8516,
29892,
8974,
29922,
8516,
1125,
13,
4706,
1583,
29889,
3626,
552,
353,
21954,
13,
4706,
396,
1583,
29889,
4993,
29918,
8216,
353,
2752,
29918,
8216,
29888,
13,
4706,
1583,
29889,
497,
29918,
29879,
2863,
353,
8974,
565,
8974,
1683,
1051,
580,
29871,
396,
8974,
565,
8974,
1683,
426,
4993,
29918,
8216,
29913,
13,
13,
1678,
822,
679,
29918,
16009,
29898,
1311,
1125,
13,
4706,
736,
1583,
29889,
3626,
552,
29961,
29900,
29962,
13,
13,
1678,
822,
679,
29918,
3318,
29898,
1311,
1125,
13,
4706,
736,
1583,
29889,
3626,
552,
29961,
29906,
29962,
13,
13,
1678,
822,
679,
29918,
29567,
29898,
1311,
29892,
5645,
2433,
29916,
29918,
11911,
482,
742,
1158,
29922,
3317,
1125,
13,
13,
4706,
396,
736,
1583,
29889,
4993,
29918,
8216,
29889,
657,
29918,
29567,
29898,
26658,
29897,
13,
4706,
736,
1158,
4197,
4993,
29889,
657,
29918,
29567,
29898,
26658,
29897,
363,
2752,
297,
1583,
29889,
497,
29918,
29879,
2863,
2314,
13,
13,
1678,
822,
679,
29918,
3396,
29918,
8216,
29898,
1311,
29892,
5645,
2433,
29916,
29918,
11911,
482,
742,
1158,
29922,
3317,
1125,
13,
4706,
736,
1158,
29898,
1311,
29889,
497,
29918,
29879,
2863,
29892,
1820,
29922,
2892,
270,
29901,
270,
29889,
657,
29918,
29567,
29898,
26658,
876,
13,
13,
1678,
822,
4770,
710,
12035,
1311,
1125,
13,
4706,
736,
851,
29898,
1311,
29889,
3626,
552,
29897,
718,
525,
9314,
29915,
718,
851,
29898,
1311,
29889,
657,
29918,
3396,
29918,
8216,
3101,
13,
13,
1678,
822,
4770,
276,
558,
12035,
1311,
1125,
13,
4706,
736,
11860,
29879,
29905,
29873,
1194,
29873,
29995,
29879,
24163,
29879,
5513,
1273,
313,
1311,
17255,
1990,
1649,
17255,
978,
1649,
29892,
2062,
29898,
1311,
29889,
3626,
552,
511,
2062,
29898,
1311,
29889,
497,
29918,
29879,
2863,
876,
13,
13,
1678,
822,
4770,
1837,
12035,
1311,
29892,
916,
1125,
13,
4706,
736,
916,
29889,
3626,
552,
1275,
1583,
29889,
3626,
552,
13,
13,
1678,
822,
4770,
8568,
12035,
1311,
1125,
13,
4706,
736,
6608,
29898,
1311,
29889,
3626,
552,
29897,
13,
13,
13,
1990,
360,
6085,
428,
12412,
7295,
13,
1678,
9995,
13,
1678,
25513,
5751,
6707,
29918,
29881,
6085,
428,
29914,
262,
1659,
6012,
29889,
13,
1678,
9995,
13,
13,
1678,
822,
4770,
2344,
12035,
1311,
29892,
3579,
19290,
1125,
13,
4706,
1209,
13,
13,
1678,
822,
10115,
29898,
1311,
29892,
2342,
1980,
29892,
16732,
29922,
8824,
29892,
2246,
29895,
10457,
29896,
1125,
13,
4706,
1209,
13,
13,
13,
1990,
317,
862,
1519,
29933,
1463,
29928,
6085,
428,
12412,
5647,
2760,
29898,
29928,
6085,
428,
12412,
1125,
13,
1678,
9995,
13,
1678,
360,
6085,
428,
6012,
393,
29436,
278,
6865,
304,
805,
279,
1519,
322,
3974,
963,
975,
278,
476,
29954,
29889,
13,
13,
1678,
450,
5751,
29899,
6707,
29918,
29881,
6085,
428,
4893,
2562,
310,
1136,
17211,
1218,
2788,
27303,
13,
1678,
9995,
13,
13,
1678,
822,
4770,
2344,
12035,
1311,
29892,
12118,
29918,
1972,
29918,
13248,
29901,
476,
29954,
3010,
10448,
5647,
2760,
29892,
8220,
29922,
24405,
29965,
1964,
29911,
29918,
25951,
29990,
29918,
1525,
29931,
8098,
29892,
11029,
2433,
29916,
29918,
11911,
482,
742,
11029,
29918,
26193,
362,
29922,
3317,
1125,
13,
4706,
9995,
13,
4706,
584,
3207,
12118,
29918,
1972,
29918,
13248,
29901,
5067,
363,
278,
476,
29954,
29889,
13,
4706,
584,
3207,
8220,
29901,
278,
8220,
1304,
297,
278,
25383,
21954,
29871,
313,
25253,
29897,
13,
4706,
584,
3207,
11029,
29901,
12091,
11029,
5645,
363,
24034,
278,
27303,
313,
25253,
29897,
491,
2322,
13,
18884,
278,
29192,
23746,
310,
278,
6865,
338,
1304,
13,
4706,
584,
3207,
11029,
29918,
26193,
362,
29901,
278,
286,
621,
29881,
1304,
363,
11404,
1218,
278,
8158,
565,
2999,
6865,
3041,
414,
278,
1021,
2114,
13,
1669,
313,
25253,
29897,
491,
2322,
4236,
338,
1304,
29889,
13,
4706,
9995,
13,
4706,
2428,
29898,
29903,
862,
1519,
29933,
1463,
29928,
6085,
428,
12412,
5647,
2760,
29892,
1583,
467,
1649,
2344,
1649,
580,
13,
4706,
1583,
29889,
23445,
353,
8220,
13,
4706,
1583,
29889,
1972,
29918,
4258,
12811,
353,
12118,
29918,
1972,
29918,
13248,
13,
4706,
1583,
29889,
29567,
353,
11029,
13,
4706,
1583,
29889,
29567,
29918,
26193,
362,
353,
11029,
29918,
26193,
362,
13,
4706,
1583,
29889,
21134,
29918,
2248,
261,
29922,
3220,
261,
29898,
8899,
29922,
9415,
29918,
1972,
29918,
13248,
29889,
1853,
29892,
13,
462,
462,
1678,
16248,
29922,
9415,
29918,
1972,
29918,
13248,
29889,
29734,
29892,
13,
462,
462,
1678,
3983,
29922,
12118,
29918,
1972,
29918,
13248,
29889,
21134,
29918,
4262,
29892,
13,
462,
462,
1678,
15882,
29922,
9415,
29918,
1972,
29918,
13248,
29889,
21134,
29918,
25378,
29897,
13,
13,
1678,
822,
10115,
29898,
1311,
29892,
2342,
1980,
29918,
1761,
29892,
3646,
29918,
296,
1907,
29922,
8516,
29892,
1375,
29918,
29567,
29922,
29900,
29892,
2246,
29895,
10457,
29896,
29892,
1962,
29918,
1445,
2084,
29922,
8516,
29892,
13,
795,
2821,
29918,
5182,
29918,
296,
1907,
29922,
5574,
1125,
13,
4706,
9995,
13,
4706,
512,
571,
716,
17099,
363,
263,
6820,
731,
310,
2342,
1980,
13,
13,
4706,
584,
3207,
2342,
1980,
29918,
1761,
29901,
1051,
310,
3902,
424,
1080,
29914,
2783,
699,
1980,
6865,
13,
4706,
584,
3207,
3646,
29918,
296,
1907,
29901,
16212,
322,
1009,
11073,
363,
607,
27303,
526,
5759,
13,
4706,
584,
3207,
1375,
29918,
29567,
29901,
9212,
11404,
630,
11029,
363,
278,
27303,
13,
4706,
584,
3207,
2246,
29895,
29901,
413,
334,
5721,
5562,
29930,
9939,
11029,
27303,
639,
7855,
29892,
13,
4706,
584,
3207,
1962,
29918,
1445,
2084,
29901,
27303,
1962,
934,
29889,
13,
4706,
584,
3207,
2821,
29918,
5182,
29918,
296,
1907,
29901,
2821,
27541,
3646,
16212,
1156,
2309,
27262,
13,
4706,
584,
2457,
29901,
8600,
310,
25383,
7855,
29899,
695,
504,
414,
3566,
1860,
13,
4706,
9995,
13,
4706,
565,
338,
8758,
29898,
2783,
699,
1980,
29918,
1761,
29892,
8977,
1125,
13,
9651,
2342,
1980,
29918,
1761,
29922,
1761,
29898,
1524,
8504,
29889,
14153,
29889,
3166,
29918,
1524,
519,
29898,
2783,
699,
1980,
29918,
1761,
29889,
5975,
22130,
13,
13,
4706,
565,
3646,
29918,
296,
1907,
29901,
13,
9651,
1583,
29889,
21134,
29918,
2248,
261,
29889,
2248,
29918,
3626,
2701,
29898,
5182,
29918,
296,
1907,
29897,
13,
9651,
1583,
29889,
23445,
29922,
5182,
29918,
296,
1907,
29889,
657,
29918,
23445,
580,
13,
13,
4706,
27303,
353,
1051,
29898,
1958,
29898,
1311,
3032,
262,
571,
29918,
14369,
29892,
2342,
1980,
29918,
1761,
876,
13,
13,
4706,
639,
29918,
10041,
29918,
27711,
1080,
353,
1583,
29889,
535,
2929,
333,
403,
29898,
27711,
1080,
29897,
13,
13,
4706,
639,
29918,
10041,
29918,
27711,
1080,
353,
1583,
3032,
14634,
29918,
392,
29918,
6605,
29918,
7582,
29898,
546,
29918,
10041,
29918,
27711,
1080,
29892,
1375,
29918,
29567,
29892,
2246,
29895,
29922,
3332,
29895,
29897,
13,
13,
4706,
565,
1962,
29918,
1445,
2084,
29901,
13,
9651,
16766,
29918,
27711,
1080,
29918,
1958,
29898,
546,
29918,
10041,
29918,
27711,
1080,
29892,
1962,
29918,
1445,
2084,
29892,
21954,
29918,
4830,
29922,
5574,
29892,
2246,
29895,
29922,
3332,
29895,
29892,
411,
29918,
7915,
29922,
5574,
29892,
13,
462,
462,
411,
29918,
8216,
29922,
8824,
29892,
11029,
29922,
1311,
29889,
29567,
29897,
13,
13,
4706,
565,
3646,
29918,
296,
1907,
322,
2821,
29918,
5182,
29918,
296,
1907,
29901,
13,
9651,
1583,
29889,
21134,
29918,
2248,
261,
29889,
8865,
580,
13,
13,
4706,
736,
639,
29918,
10041,
29918,
27711,
1080,
13,
13,
1678,
822,
1136,
17211,
403,
29898,
1311,
29892,
27303,
1125,
13,
4706,
9995,
13,
4706,
422,
26062,
27303,
515,
1422,
6865,
13,
13,
4706,
584,
3207,
27303,
29901,
1051,
310,
5759,
27303,
13,
4706,
584,
2457,
29901,
12420,
2323,
18988,
411,
3196,
8974,
363,
7126,
27303,
13,
4706,
584,
29878,
1853,
29901,
9657,
13,
4706,
9995,
13,
13,
4706,
396,
639,
29918,
1707,
29918,
27711,
1080,
353,
2322,
8977,
29898,
2892,
29901,
2322,
8977,
29898,
1761,
876,
13,
4706,
396,
363,
282,
297,
9704,
29889,
3166,
29918,
1524,
519,
29898,
27711,
1080,
1125,
13,
4706,
396,
268,
639,
29918,
1707,
29918,
27711,
1080,
29961,
29886,
29889,
657,
29918,
16009,
580,
3816,
29886,
29889,
657,
29918,
3318,
580,
1822,
4397,
29898,
29886,
29897,
13,
13,
4706,
639,
29918,
10041,
29918,
27711,
1080,
353,
2322,
8977,
29898,
2892,
29901,
2322,
8977,
29898,
23084,
2463,
876,
13,
4706,
363,
282,
297,
1051,
29898,
14153,
29889,
3166,
29918,
1524,
519,
29898,
27711,
1080,
22164,
13,
9651,
1136,
29918,
11965,
353,
639,
29918,
10041,
29918,
27711,
1080,
29961,
29886,
29889,
657,
29918,
16009,
580,
3816,
29886,
29889,
657,
29918,
3318,
580,
29962,
13,
9651,
1136,
29918,
11965,
29889,
3626,
552,
353,
282,
29889,
3626,
552,
13,
9651,
1136,
29918,
11965,
29889,
497,
29918,
29879,
2863,
4619,
282,
29889,
497,
29918,
29879,
2863,
13,
13,
4706,
736,
639,
29918,
10041,
29918,
27711,
1080,
13,
13,
1678,
822,
903,
14634,
29918,
392,
29918,
6605,
29918,
7582,
29898,
1311,
29892,
639,
29918,
10041,
29918,
11965,
2463,
29892,
16897,
29922,
29900,
29892,
2246,
29895,
10457,
29896,
1125,
13,
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9995,
13,
4706,
4702,
479,
278,
278,
10115,
1127,
17099,
297,
1206,
310,
13303,
4450,
293,
1078,
13,
13,
4706,
584,
3207,
639,
29918,
10041,
29918,
11965,
2463,
29901,
13,
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584,
2457,
29901,
13,
4706,
9995,
13,
13,
4706,
822,
11029,
29918,
5696,
29898,
29886,
1125,
13,
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736,
282,
29889,
657,
29918,
29567,
29898,
1311,
29889,
29567,
29892,
1583,
29889,
29567,
29918,
26193,
362,
29897,
13,
13,
4706,
639,
29918,
10041,
29918,
11965,
2463,
29918,
4572,
287,
353,
2322,
8977,
29898,
1761,
29897,
13,
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363,
1014,
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639,
29918,
5415,
29918,
27711,
1080,
297,
639,
29918,
10041,
29918,
11965,
2463,
29889,
7076,
7295,
13,
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396,
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29895,
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282,
29889,
3626,
552,
29961,
29906,
1402,
3855,
29874,
352,
537,
29918,
5696,
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29886,
876,
363,
413,
29892,
282,
297,
639,
29918,
5415,
29918,
27711,
1080,
29889,
7076,
580,
2314,
13,
9651,
19412,
29918,
27711,
1080,
353,
1051,
29898,
13,
18884,
4175,
29898,
2892,
282,
29901,
11029,
29918,
5696,
29898,
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] |
measurement/tests.py | sigurdsa/angelika-api | 2 | 187703 | <filename>measurement/tests.py
from test.testcase import AngelikaAPITestCase
from patient.models import Patient
from measurement.models import Measurement
from threshold_value.models import ThresholdValue
from alarm.models import Alarm
import time
class PostMeasurementTests(AngelikaAPITestCase):
def create_and_authenticate_hub(self):
hub_user = self.create_hub('hub1')
self.patient = Patient.objects.get(user__username='larsoverhaug')
self.patient.hub = hub_user
self.patient.save()
self.force_authenticate('hub1')
def test_post_ignored_measurements(self):
self.create_and_authenticate_hub()
data = {
"Measurements": [
{
"date": 1414972800,
"type": "distance",
"unit": "m",
"value": 962.26
},
{
"date": 1414972800,
"type": "calories",
"unit": "kcal",
"value": 48.92
},
{
"date": 1414972800,
"type": "steps",
"unit": "steps",
"value": 1067
}
],
"Observation": {
"hub_id": "hub1"
}
}
self.assertEqual(Measurement.objects.count(), 0) # Nothing is created yet
response = self.client.post('/post-measurements/', data, 'json')
self.assertEqual(response.status_code, 201) # Created
self.assertEqual(response.data["num_measurements_created"], 1) # One object created
self.assertEqual(Measurement.objects.count(), 1) # One object created
self.assertAlmostEqual(Measurement.objects.first().value, 1067.0) # Correct no of steps
self.assertEqual(Measurement.objects.first().patient, self.patient) # Correct patient
self.assertEqual(Alarm.objects.count(), 0)
def test_post_when_not_authenticated(self):
response = self.client.post('/post-measurements/', {}, 'json')
self.assertEqual(response.status_code, 401)
def test_post_bad_hub_id(self):
self.create_and_authenticate_hub()
data = {
"Measurements": [
{
"date": 1414972800,
"type": "steps",
"unit": "steps",
"value": 1067
}
],
"Observation": {
"hub_id": "dsfkjhdsfkjhdsf"
}
}
response = self.client.post('/post-measurements/', data, 'json')
self.assertEqual(response.status_code, 400)
def test_post_abnormal_low_measurements(self):
self.create_and_authenticate_hub()
ThresholdValue.objects.create(
value=49,
patient=self.patient,
type='P',
is_upper_threshold=False,
)
ThresholdValue.objects.create(
value=165,
patient=self.patient,
type='P',
is_upper_threshold=True,
)
measurement_time = int(time.time()) + 10000
data = {
"Measurements": [
{
"date": measurement_time,
"type": "heart_rate",
"unit": "bpm",
"value": 42
}
],
"Observation": {
"hub_id": "hub1"
}
}
response = self.client.post('/post-measurements/', data, 'json')
self.assertEqual(response.status_code, 201) # Created
self.assertEqual(Measurement.objects.count(), 1)
self.assertEqual(Alarm.objects.count(), 1)
self.assertEqual(Alarm.objects.first().measurement.pk, Measurement.objects.first().pk)
self.assertEqual(Alarm.objects.first().reason, False)
def test_post_abnormal_high_measurement(self):
self.create_and_authenticate_hub()
ThresholdValue.objects.create(
value=49,
patient=self.patient,
type='P',
is_upper_threshold=False,
)
ThresholdValue.objects.create(
value=165,
patient=self.patient,
type='P',
is_upper_threshold=True,
)
measurement_time = int(time.time()) + 10000
data = {
"Measurements": [
{
"date": measurement_time,
"type": "heart_rate",
"unit": "bpm",
"value": 180
}
],
"Observation": {
"hub_id": "hub1"
}
}
response = self.client.post('/post-measurements/', data, 'json')
self.assertEqual(response.status_code, 201) # Created
self.assertEqual(Measurement.objects.count(), 1)
self.assertEqual(Alarm.objects.count(), 1)
self.assertEqual(Alarm.objects.first().measurement.pk, Measurement.objects.first().pk)
self.assertEqual(Alarm.objects.first().reason, True)
def test_post_high_o2_measurement(self):
self.create_and_authenticate_hub()
ThresholdValue.objects.create(
value=60,
patient=self.patient,
type='O',
is_upper_threshold=False,
)
ThresholdValue.objects.create(
value=85,
patient=self.patient,
type='O',
is_upper_threshold=True,
)
measurement_time = int(time.time()) + 10000
data = {
"Measurements": [
{
"date": measurement_time,
"type": "spo2",
"unit": "percent",
"value": 89
}
],
"Observation": {
"hub_id": "hub1"
}
}
response = self.client.post('/post-measurements/', data, 'json')
self.assertEqual(response.status_code, 201) # Created
self.assertEqual(Measurement.objects.count(), 1)
self.assertEqual(Alarm.objects.count(), 0) # no alarm is created for a "too high" O2 value
def test_post_abnormal_low_measurements_repeatedly(self):
self.create_and_authenticate_hub()
ThresholdValue.objects.create(
value=49,
patient=self.patient,
type='P',
is_upper_threshold=False,
)
ThresholdValue.objects.create(
value=165,
patient=self.patient,
type='P',
is_upper_threshold=True,
)
measurement_time = int(time.time()) + 10000
data = {
"Measurements": [
{
"date": measurement_time,
"type": "heart_rate",
"unit": "bpm",
"value": 42
}
],
"Observation": {
"hub_id": "hub1"
}
}
response = self.client.post('/post-measurements/', data, 'json')
self.assertEqual(response.status_code, 201) # Created
self.assertEqual(Measurement.objects.count(), 1)
self.assertEqual(Alarm.objects.count(), 1)
data = {
"Measurements": [
{
"date": measurement_time + 500,
"type": "heart_rate",
"unit": "bpm",
"value": 41
}
],
"Observation": {
"hub_id": "hub1"
}
}
response = self.client.post('/post-measurements/', data, 'json')
self.assertEqual(response.status_code, 201) # Created
self.assertEqual(Measurement.objects.count(), 2)
self.assertEqual(Alarm.objects.count(), 1) # no new alarm has been created
def test_post_abnormal_low_measurements_multiple_patients(self):
self.create_and_authenticate_hub()
hub_user2 = self.create_hub('hub2')
kristin = self.create_patient('kristin', '<NAME>', 'Taraldsen', '08105534879')
kristin.hub = hub_user2
kristin.save()
ThresholdValue.objects.create(
value=49,
patient=self.patient,
type='P',
is_upper_threshold=False,
)
ThresholdValue.objects.create(
value=165,
patient=self.patient,
type='P',
is_upper_threshold=True,
)
ThresholdValue.objects.create(
value=46,
patient=kristin,
type='P',
is_upper_threshold=False,
)
ThresholdValue.objects.create(
value=160,
patient=kristin,
type='P',
is_upper_threshold=True,
)
measurement_time = int(time.time()) + 10000
data1 = {
"Measurements": [
{
"date": measurement_time,
"type": "heart_rate",
"unit": "bpm",
"value": 42
}
],
"Observation": {
"hub_id": "hub1"
}
}
response = self.client.post('/post-measurements/', data1, 'json')
self.assertEqual(response.status_code, 201) # Created
self.assertEqual(Measurement.objects.count(), 1)
self.assertEqual(Alarm.objects.count(), 1)
self.force_authenticate('hub2')
data2 = {
"Measurements": [
{
"date": measurement_time + 50,
"type": "heart_rate",
"unit": "bpm",
"value": 45
}
],
"Observation": {
"hub_id": "hub2"
}
}
response = self.client.post('/post-measurements/', data2, 'json')
self.assertEqual(response.status_code, 201) # Created
self.assertEqual(Measurement.objects.count(), 2)
self.assertEqual(Alarm.objects.count(), 2) # another alarm has been created
def test_update_daily_activity_measurement(self):
self.create_and_authenticate_hub()
measurement_time = int(time.time())
data = {
"Measurements": [
{
"date": measurement_time,
"type": "steps",
"unit": "steps",
"value": 656
}
],
"Observation": {
"hub_id": "hub1"
}
}
response = self.client.post('/post-measurements/', data, 'json')
self.assertEqual(response.status_code, 201) # Created
self.assertEqual(Measurement.objects.count(), 1)
data['Measurements'][0]['value'] = 890
response = self.client.post('/post-measurements/', data, 'json')
self.assertEqual(response.status_code, 200) # OK
self.assertEqual(Measurement.objects.count(), 1)
self.assertEqual(Measurement.objects.first().value, 890)
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2
] |
setup.py | mattpatey/text2qrcode | 1 | 14854 | <reponame>mattpatey/text2qrcode
from setuptools import (
find_packages,
setup,
)
setup(
name="text2qrcode",
version="1.0-a1",
description="Render a QR code image from input text",
author="<NAME>",
packages=find_packages(),
install_requires=["qrcode", "pillow"],
entry_points={
"console_scripts": [
"t2qr=text2qrcode.main:main"
]
}
)
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microsoft_auth/migrations/0002_fix_microsoft_id_length.py | etrimbymchd/django_microsoft_auth | 115 | 1611790 | # Generated by Django 2.1.7 on 2019-02-28 20:30
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("microsoft_auth", "0001_initial")]
operations = [
migrations.AlterField(
model_name="microsoftaccount",
name="microsoft_id",
field=models.CharField(
max_length=36, verbose_name="microsoft account id"
),
)
]
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sqlmat/utils.py | haobtc/sqlmat | 0 | 7362 | from typing import Tuple, List, Optional
import json
import sys
import os
import shlex
import asyncio
import argparse
import logging
import tempfile
from urllib.parse import urlparse
logger = logging.getLogger(__name__)
def find_sqlmat_json() -> Optional[dict]:
json_path = os.getenv('SQLMAT_JSON_PATH')
if json_path:
with open(json_path) as f:
cfg = json.load(f)
return cfg
# iterate through the current dir up to the root dir "/" to find a
# .sqlmat.json
workdir = os.path.abspath(os.getcwd())
while workdir:
json_path = os.path.join(workdir, '.sqlmat.json')
if os.path.exists(json_path):
with open(json_path) as f:
cfg = json.load(f)
return cfg
parentdir = os.path.abspath(os.path.join(workdir, '..'))
if parentdir == workdir:
break
workdir = parentdir
logger.warning('fail to find .sqlmat.json')
return None
def find_dsn(prog: str, desc: str) -> Tuple[str, List[str]]:
parser = argparse.ArgumentParser(
prog=prog,
description=desc)
parser.add_argument('-d', '--dsn',
type=str,
help='postgresql dsn')
parser.add_argument('-g', '--db',
type=str,
default='default',
help='postgresql db instance defined in .sqlmat.json')
parser.add_argument('callee_args',
type=str,
nargs='*',
help='command line arguments of callee programs')
# from arguments
args = parser.parse_args()
if args.dsn:
return args.dsn, args.callee_args
# find dsn from ./.sqlmat.json
cfg = find_sqlmat_json()
if cfg:
dsn = cfg['databases'][args.db]['dsn']
assert isinstance(dsn, str)
return dsn, args.callee_args
# default dsn using username
user = os.getenv('USER', '')
default_dsn = f'postgres://{user}@127.0.0.1:5432/{args.db}'
logger.warning('no postgres dsn specified, use %s instead', default_dsn)
return default_dsn, args.callee_args
def joinargs(callee_args: List[str]) -> str:
if hasattr(shlex, 'join'):
return shlex.join(callee_args)
else:
return ' '.join(shlex.quote(a) for a in callee_args)
# run psql client
async def run_shell(dsn: str, callee_args: List[str]) -> None:
p = urlparse(dsn)
username = p.username or ''
password = p.password or ''
dbname = p.path[1:]
hostname = p.hostname
port = p.port or 5432
temp_pgpass = tempfile.NamedTemporaryFile(mode='w')
print(
'{}:{}:{}:{}:{}'.format(hostname, port, dbname, username, password),
file=temp_pgpass,
flush=True)
os.environ['PGPASSFILE'] = temp_pgpass.name
command = 'psql -h{} -p{} -U{} {} {}'.format(hostname, port, username, joinargs(callee_args), dbname)
proc = await asyncio.create_subprocess_shell(command)
await proc.communicate()
def cl_run_shell() -> None:
dsn, callee_args = find_dsn('sqlmat-shell', 'run psql client shell')
loop = asyncio.get_event_loop()
loop.run_until_complete(run_shell(dsn, callee_args))
# run dbdump
async def run_dbdump(dsn: str, callee_args: List[str]) -> None:
p = urlparse(dsn)
username = p.username or ''
password = p.password or ''
dbname = p.path[1:]
hostname = p.hostname
port = p.port or 5432
temp_pgpass = tempfile.NamedTemporaryFile(mode='w')
print(
'{}:{}:{}:{}:{}'.format(hostname, port, dbname, username, password),
file=temp_pgpass,
flush=True)
os.environ['PGPASSFILE'] = temp_pgpass.name
command = 'pg_dump -h{} -p{} -U{} {} {}'.format(hostname, port, username, joinargs(callee_args), dbname)
proc = await asyncio.create_subprocess_shell(command)
await proc.communicate()
def cl_run_dbdump() -> None:
dsn, callee_args = find_dsn('sqlmat-dump', 'dump database')
loop = asyncio.get_event_loop()
loop.run_until_complete(run_dbdump(dsn, callee_args))
# generate alembic migrations
def gen_migrate(dsn: str) -> None:
init_data = ALEMBIC_INIT.replace('{{dsn}}', dsn)
with open('alembic.ini', 'w') as f:
f.write(init_data)
def cl_gen_migrate() -> None:
dsn, callee_args = find_dsn('sqlmat-genmigrate', 'generate alembic migration')
gen_migrate(dsn)
print('Wrote alembic.ini')
ALEMBIC_INIT = '''\
# A generic, single database configuration.
[alembic]
# path to migration scripts
script_location = migrations
# template used to generate migration files
# file_template = %%(rev)s_%%(slug)s
# timezone to use when rendering the date
# within the migration file as well as the filename.
# string value is passed to dateutil.tz.gettz()
# leave blank for localtime
# timezone =
# max length of characters to apply to the
# "slug" field
#truncate_slug_length = 40
# set to 'true' to run the environment during
# the 'revision' command, regardless of autogenerate
# revision_environment = false
# set to 'true' to allow .pyc and .pyo files without
# a source .py file to be detected as revisions in the
# versions/ directory
# sourceless = false
# version location specification; this defaults
# to migrations/versions. When using multiple version
# directories, initial revisions must be specified with --version-path
# version_locations = %(here)s/bar %(here)s/bat migrations/versions
# the output encoding used when revision files
# are written from script.py.mako
# output_encoding = utf-8
#sqlalchemy.url = driver://user:pass@localhost/dbname
sqlalchemy.url = {{dsn}}
# Logging configuration
[loggers]
keys = root,sqlalchemy,alembic
[handlers]
keys = console
[formatters]
keys = generic
[logger_root]
level = WARN
handlers = console
qualname =
[logger_sqlalchemy]
level = WARN
handlers =
qualname = sqlalchemy.engine
[logger_alembic]
level = INFO
handlers =
qualname = alembic
[handler_console]
class = StreamHandler
args = (sys.stderr,)
level = NOTSET
formatter = generic
[formatter_generic]
format = %(levelname)-5.5s [%(name)s] %(message)s
datefmt = %H:%M:%S
'''
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cartbox/cart/management/commands/update_or_create_cats_and_prods.py | bayersglassey/cartbox | 0 | 100249 |
from django.core.management.base import BaseCommand, CommandError
from cart.default_data import update_or_create_cats_and_prods
class Command(BaseCommand):
help = (
"Updates or creates the default set of Product and "
"Category objects.")
def handle(self, *args, **options):
update_or_create_cats_and_prods()
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lib/spack/spack/cmd/style.py | mt-empty/spack | 2 | 68467 | <reponame>mt-empty/spack
# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from __future__ import print_function
import argparse
import os
import re
import sys
import llnl.util.tty as tty
import llnl.util.tty.color as color
from llnl.util.filesystem import working_dir
import spack.paths
from spack.util.executable import which
if sys.version_info < (3, 0):
from itertools import izip_longest # novm
zip_longest = izip_longest
else:
from itertools import zip_longest # novm
description = "runs source code style checks on spack"
section = "developer"
level = "long"
def grouper(iterable, n, fillvalue=None):
"Collect data into fixed-length chunks or blocks"
# grouper('ABCDEFG', 3, 'x') --> ABC DEF Gxx"
args = [iter(iterable)] * n
for group in zip_longest(*args, fillvalue=fillvalue):
yield filter(None, group)
#: directory where spack style started, for relativizing paths
initial_working_dir = None
#: List of directories to exclude from checks.
exclude_directories = [spack.paths.external_path]
#: order in which tools should be run. flake8 is last so that it can
#: double-check the results of other tools (if, e.g., --fix was provided)
tool_order = ["isort", "mypy", "black", "flake8"]
#: tools we run in spack style
tools = {}
def is_package(f):
"""Whether flake8 should consider a file as a core file or a package.
We run flake8 with different exceptions for the core and for
packages, since we allow `from spack import *` and poking globals
into packages.
"""
return f.startswith("var/spack/repos/") or "docs/tutorial/examples" in f
#: decorator for adding tools to the list
class tool(object):
def __init__(self, name, required=False):
self.name = name
self.required = required
def __call__(self, fun):
tools[self.name] = (fun, self.required)
return fun
def changed_files(base=None, untracked=True, all_files=False):
"""Get list of changed files in the Spack repository."""
git = which("git", required=True)
# GITHUB_BASE_REF is set to the base branch for pull request actions
if base is None:
base = os.environ.get("GITHUB_BASE_REF", "develop")
range = "{0}...".format(base)
git_args = [
# Add changed files committed since branching off of develop
["diff", "--name-only", "--diff-filter=ACMR", range],
# Add changed files that have been staged but not yet committed
["diff", "--name-only", "--diff-filter=ACMR", "--cached"],
# Add changed files that are unstaged
["diff", "--name-only", "--diff-filter=ACMR"],
]
# Add new files that are untracked
if untracked:
git_args.append(["ls-files", "--exclude-standard", "--other"])
# add everything if the user asked for it
if all_files:
git_args.append(["ls-files", "--exclude-standard"])
excludes = [os.path.realpath(f) for f in exclude_directories]
changed = set()
for arg_list in git_args:
files = git(*arg_list, output=str).split("\n")
for f in files:
# Ignore non-Python files
if not (f.endswith(".py") or f == "bin/spack"):
continue
# Ignore files in the exclude locations
if any(os.path.realpath(f).startswith(e) for e in excludes):
continue
changed.add(f)
return sorted(changed)
def setup_parser(subparser):
subparser.add_argument(
"-b",
"--base",
action="store",
default=None,
help="select base branch for collecting list of modified files",
)
subparser.add_argument(
"-a",
"--all",
action="store_true",
help="check all files, not just changed files",
)
subparser.add_argument(
"-r",
"--root-relative",
action="store_true",
default=False,
help="print root-relative paths (default: cwd-relative)",
)
subparser.add_argument(
"-U",
"--no-untracked",
dest="untracked",
action="store_false",
default=True,
help="exclude untracked files from checks",
)
subparser.add_argument(
"-f",
"--fix",
action="store_true",
default=False,
help="format automatically if possible (e.g., with isort, black)",
)
subparser.add_argument(
"--no-isort",
dest="isort",
action="store_false",
help="do not run isort (default: run isort if available)",
)
subparser.add_argument(
"--no-flake8",
dest="flake8",
action="store_false",
help="do not run flake8 (default: run flake8 or fail)",
)
subparser.add_argument(
"--no-mypy",
dest="mypy",
action="store_false",
help="do not run mypy (default: run mypy if available)",
)
subparser.add_argument(
"--black",
dest="black",
action="store_true",
help="run black if available (default: skip black)",
)
subparser.add_argument(
"files", nargs=argparse.REMAINDER, help="specific files to check"
)
def cwd_relative(path):
"""Translate prefix-relative path to current working directory-relative."""
return os.path.relpath(os.path.join(spack.paths.prefix, path), initial_working_dir)
def rewrite_and_print_output(
output, args, re_obj=re.compile(r"^(.+):([0-9]+):"), replacement=r"{0}:{1}:"
):
"""rewrite ouput with <file>:<line>: format to respect path args"""
# print results relative to current working directory
def translate(match):
return replacement.format(
cwd_relative(match.group(1)), *list(match.groups()[1:])
)
for line in output.split("\n"):
if not line:
continue
if not args.root_relative and re_obj:
line = re_obj.sub(translate, line)
print(" " + line)
def print_style_header(file_list, args):
tools = [tool for tool in tool_order if getattr(args, tool)]
tty.msg("Running style checks on spack:", "selected: " + ", ".join(tools))
# translate modified paths to cwd_relative if needed
paths = [filename.strip() for filename in file_list]
if not args.root_relative:
paths = [cwd_relative(filename) for filename in paths]
tty.msg("Modified files:", *paths)
sys.stdout.flush()
def print_tool_header(tool):
sys.stdout.flush()
tty.msg("Running %s checks" % tool)
sys.stdout.flush()
def print_tool_result(tool, returncode):
if returncode == 0:
color.cprint(" @g{%s checks were clean}" % tool)
else:
color.cprint(" @r{%s found errors}" % tool)
@tool("flake8", required=True)
def run_flake8(flake8_cmd, file_list, args):
returncode = 0
output = ""
# run in chunks of 100 at a time to avoid line length limit
# filename parameter in config *does not work* for this reliably
for chunk in grouper(file_list, 100):
output = flake8_cmd(
# use .flake8 implicitly to work around bug in flake8 upstream
# append-config is ignored if `--config` is explicitly listed
# see: https://gitlab.com/pycqa/flake8/-/issues/455
# "--config=.flake8",
*chunk,
fail_on_error=False,
output=str
)
returncode |= flake8_cmd.returncode
rewrite_and_print_output(output, args)
print_tool_result("flake8", returncode)
return returncode
@tool("mypy")
def run_mypy(mypy_cmd, file_list, args):
mpy_args = ["--package", "spack", "--package", "llnl", "--show-error-codes"]
# not yet, need other updates to enable this
# if any([is_package(f) for f in file_list]):
# mpy_args.extend(["--package", "packages"])
output = mypy_cmd(*mpy_args, fail_on_error=False, output=str)
returncode = mypy_cmd.returncode
rewrite_and_print_output(output, args)
print_tool_result("mypy", returncode)
return returncode
@tool("isort")
def run_isort(isort_cmd, file_list, args):
check_fix_args = () if args.fix else ("--check", "--diff")
pat = re.compile("ERROR: (.*) Imports are incorrectly sorted")
replacement = "ERROR: {0} Imports are incorrectly sorted"
returncode = 0
for chunk in grouper(file_list, 100):
packed_args = check_fix_args + tuple(chunk)
output = isort_cmd(*packed_args, fail_on_error=False, output=str, error=str)
returncode |= isort_cmd.returncode
rewrite_and_print_output(output, args, pat, replacement)
print_tool_result("isort", returncode)
return returncode
@tool("black")
def run_black(black_cmd, file_list, args):
check_fix_args = () if args.fix else ("--check", "--diff", "--color")
pat = re.compile("would reformat +(.*)")
replacement = "would reformat {0}"
returncode = 0
output = ""
# run in chunks of 100 at a time to avoid line length limit
# filename parameter in config *does not work* for this reliably
for chunk in grouper(file_list, 100):
packed_args = check_fix_args + tuple(chunk)
output = black_cmd(*packed_args, fail_on_error=False, output=str, error=str)
returncode |= black_cmd.returncode
rewrite_and_print_output(output, args, pat, replacement)
print_tool_result("black", returncode)
return returncode
def style(parser, args):
# save initial working directory for relativizing paths later
global initial_working_dir
initial_working_dir = os.getcwd()
file_list = args.files
if file_list:
def prefix_relative(path):
return os.path.relpath(
os.path.abspath(os.path.realpath(path)), spack.paths.prefix
)
file_list = [prefix_relative(p) for p in file_list]
returncode = 0
with working_dir(spack.paths.prefix):
if not file_list:
file_list = changed_files(args.base, args.untracked, args.all)
print_style_header(file_list, args)
# run tools in order defined in tool_order
returncode = 0
for tool_name in tool_order:
if getattr(args, tool_name):
run_function, required = tools[tool_name]
print_tool_header(tool_name)
cmd = which(tool_name, required=required)
if not cmd:
color.cprint(" @y{%s not in PATH, skipped}" % tool_name)
continue
returncode |= run_function(cmd, file_list, args)
if returncode == 0:
tty.msg(color.colorize("@*{spack style checks were clean}"))
else:
tty.error(color.colorize("@*{spack style found errors}"))
return returncode
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PLC/PlcValidator.py | dangxuanvuong98/pineapples_harvester | 0 | 64164 | '''
File này gồm 2 hàm kiểm tra tọa độ trước khi gửi qua serial
'''
# kiểm tra tọa độ có hợp lệ không
def plc1CoordinateValidator(raw_x, raw_y, raw_z):
#y = int(raw_y)-59-21, -59 (mép ngoài) là khoảng cách từ camera đến khung, 21 từ khung đến trục thân xilanh trục y
#231 khoảng cách hai mép trong, 59 từ cam đến mép trong, 23 từ mép trong đến cánh tay
y = 275 - int(raw_y) # chieu truc X cua camera# doi tu toa do cam sang toa do khung PLC1 #80
#x = 100-20, 100 là giới hạn một nửa khoảng thu hoạch (mép trong), 20 thân xylanh đến khung theo trục x
#14 từ cánh tay đến mép trong
x = 87 + int(raw_x) # chieu truc Y cua camera # doi tu toa do cam sang toa do khung PLC1 #184
if y < 0 and abs(y) <= 5:
y = 0
if y > 180 and y < 210 : #gán giới hạn trên trục Y
y = 185
if y > 43 and y < 58 : #gán giới hạn dưới1 trục Y
y = 51
if y >=58 and y < 65 : # gán giới hạn dưới2 trục Y
y = 55
if x <=10 : # gán giới hạn dưới trục X
x = 3
if y > 170 and x < 30: # gán giới hạn quả ngoài cùng hàng 1( gần cammera nhất)
y = 185
x = 5
if y > 145 and y<= 166 and x <= 18: # giới hạn quả ngoài cùng hàng 2
y = 145
x = 5
if int(raw_z) < 70 :
z = 3
if int(raw_z) >= 70 and int(raw_z) <= 80 :
z = 4
if int(raw_z) > 80:
z = 5
if 51 <= y <= 185 and 0 <= x <= 87:
# Nếu nằm trong tầm cắt trả về tọa độ
return {'x': x, 'y': y, 'z': z}
# Không nằm trong tầm cắt thì không trả về gì
return None
# kiểm tra tọa độ có hợp lệ không
def plc2CoordinateValidator(raw_x, raw_y, raw_z):
#y = int(raw_y)-59-21, -59 (mép ngoài) là khoảng cách từ camera đến khung, 21 từ khung đến trục thân xilanh trục y
#231 khoảng cách hai mép trong, 59 từ cam đến mép trong, 23 từ mép trong đến cánh tay
y = 275 - int(raw_y) # chieu truc X cua camera# doi tu toa do cam sang toa do khung PLC1 #80
#x = 100-20, 100 là giới hạn một nửa khoảng thu hoạch (mép trong), 20 thân xylanh đến khung theo trục x
#14 từ cánh tay đến mép trong
x = 87 - int(raw_x) # chieu truc Y cua camera # doi tu toa do cam sang toa do khung PLC1 #184
if y < 0 and abs(y) <= 5:
y = 0
if y > 180 and y < 210 : #gán giới hạn trên trục Y
y = 185
if y > 43 and y < 58 : #gán giới hạn dưới1 trục Y
y = 51
if y >=58 and y < 65 : # gán giới hạn dưới2 trục Y
y = 55
if x <=10 : # gán giới hạn dưới trục X
x = 3
if y > 170 and x < 30: # gán giới hạn quả ngoài cùng hàng 1( gần cammera nhất)
y = 185
x = 5
if y > 145 and y<= 166 and x <= 18: # giới hạn quả ngoài cùng hàng 2
y = 145
x = 5
if int(raw_z) < 70 :
z = 3
if int(raw_z) >= 70 and int(raw_z) <= 80 :
z = 4
if int(raw_z) > 80:
z = 5
if 51 <= y <= 185 and 0 <= x <= 75:
# Nếu nằm trong tầm cắt trả về tọa độ
return {'x': x, 'y': y, 'z': z}
# Không nằm trong tầm cắt thì không trả về gì
return None | [
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Algorithms/sway_discrete.py | Ginfung/sway | 0 | 58261 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (C) 2016, <NAME> <<EMAIL>>
# vim: set ts=4 sts=4 sw=4 expandtab smartindent:
#
# 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.
from __future__ import division
from Algorithms.sway_sampler import sway, cont_dominate
from gmpy2 import popcount, mpz
import random
def count1(decint):
return popcount(mpz(decint))
def split_products(pop, groupC=5):
rand = random.choice(pop)
center = count1(int(rand, 2))
workloads = list()
dists = list()
for p in pop:
wl = count1(int(p, 2))
dist = count1(wl ^ center)
workloads.append(wl)
dists.append(dist)
poptuple = [(p, i, j) for p, i, j in zip(pop, workloads, dists)]
# sort by the workloads
poptuple = sorted(poptuple, key=lambda i:i[1])
n = int(len(poptuple)/groupC)
groups = [poptuple[i*n:i*n+n] for i in range(groupC)]
west, east, westItems, eastItems = list(), list(), list(), list()
for g in groups:
k = sorted(g, key=lambda i:i[2])
# filling the answers
west.append(k[0][0])
east.append(k[-1][0])
westItems.extend(map(lambda i: i[0], k[:len(k)//2]))
eastItems.extend(map(lambda i: i[0], k[len(k)//2:]))
return west, east, westItems, eastItems
def comparing(part1, part2):
onewin = 0
twowin = 0
for i, j in zip(part1, part2):
if cont_dominate(i, j) > 0:
onewin += 1
else:
twowin += 1
return onewin >= twowin
def optimize(init_pop, eval_func):
import warnings
warnings.filterwarnings('ignore')
return sway(init_pop, eval_func, split_products, comparing) | [
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2016/day01/day01-pt1.py | mcbor/advent_of_code_2016 | 1 | 167824 | #!/usr/bin/env python3
# Advent of Code 2016 - Day 1
# Using turtle graphics to find the location of Easter Bunny HQ.
# It's slow, but draws pretty maps.
import sys
import turtle
if len(sys.argv) < 2:
print("Usage: {} puzzle.txt".format(sys.argv[0]))
sys.exit(1)
with open(sys.argv[1]) as f:
# init turtle to face north
turtle.speed('fastest')
turtle.home()
turtle.setheading(90)
for line in f:
if line[0] == '#':
# skip comments
continue
steps = line.split()
for step in map(str.strip, line.split(',')):
if step[0] == 'R':
turtle.right(90)
elif step[0] == 'L':
turtle.left(90)
else:
print("don't know about", step[0])
sys.exit(1)
turtle.forward(int(step[1:]))
print(step + ": " + str(turtle.position()))
print("Stopped at {}, Distance: {}".format(str(turtle.position()), round(abs(turtle.xcor()) + abs(turtle.ycor()))))
input("Press any key to exit...") | [
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tests/test_naivetrack_methods.py | erasmus-center-for-biomics/Nimbus | 4 | 79013 | #!/bin/env python
import StringIO
import unittest
import naivetrack
import naivetrack.utils
class TestNaivetrackSummaries(unittest.TestCase):
def setUp(self):
# we will use a global chromosome list
self.chromosome_list = []
self.file = StringIO.StringIO("""#
#
chr1\t2\tT\t2\t10\t50
\tG\t4\t20\tsample_1, forward
\tT\t6\t30\tsample_1, forward
chr1\t20000\tT\t3\t40\t130
\tA\t20\t60\tsample_1, forward
\tA\t10\t30\tsample_1, reverse
\tG\t10\t40\tsample_1, forward
""")
def runTest(self):
parser = naivetrack.TrackParser(chromosome_list=self.chromosome_list)
parser.register_handle(self.file)
parser.set_maximum_chromosome_size(500000)
entry = parser.next()
rval = naivetrack.utils.aggregate_allele_information(
entry, attributes=[
naivetrack.models.AlleleFactors["Sample"],
naivetrack.models.AlleleFactors["Allele"]
])
self.assertIn("sample_1", rval.keys())
self.assertIn("T", rval["sample_1"].keys())
self.assertIn("G", rval["sample_1"].keys())
self.assertIn("__qual__", rval["sample_1"]["T"].keys())
self.assertIn("__depth__", rval["sample_1"]["T"].keys())
self.assertIn("__n__", rval["sample_1"]["T"].keys())
self.assertIn("__qual__", rval["sample_1"]["G"].keys())
self.assertIn("__depth__", rval["sample_1"]["G"].keys())
self.assertIn("__n__", rval["sample_1"]["G"].keys())
self.assertEqual(rval["sample_1"]["T"]["__qual__"], 30)
self.assertEqual(rval["sample_1"]["G"]["__qual__"], 20)
self.assertEqual(rval["sample_1"]["T"]["__depth__"], 6)
self.assertEqual(rval["sample_1"]["G"]["__depth__"], 4)
self.assertEqual(rval["sample_1"]["T"]["__n__"], 1)
self.assertEqual(rval["sample_1"]["G"]["__n__"], 1)
summarize = naivetrack.SummarizeEntries()
rval = summarize(parser.next())
self.assertIn("A", rval.keys())
self.assertIn("G", rval.keys())
self.assertEqual(rval["A"]["sample_1"]["__quality__"], 90)
self.assertEqual(rval["A"]["sample_1"]["__depth__"], 30)
# print rval
def tearDown(self):
pass
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util/sessions.py | MaiRachlevsky/Inspyre | 1 | 1618044 | def set_ret_path(session, path):
"""Set the return path in session `session` to `path`"""
session['ret_path'] = path
def clear_ret_path(session):
"""Clear return path in session `session` if it exists"""
if 'ret_path' in session:
del session['ret_path']
def use_ret_path(session):
"""Return and delete return path from session `session` if it exists"""
if 'ret_path' in session:
ret_path = session['ret_path']
del session['ret_path']
else:
ret_path = None
return ret_path
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homeassistant/components/watttime/sensor.py | DoctorU/core | 1 | 129733 | <gh_stars>1-10
"""Support for WattTime sensors."""
from __future__ import annotations
from typing import TYPE_CHECKING
from homeassistant.components.sensor import (
STATE_CLASS_MEASUREMENT,
SensorEntity,
SensorEntityDescription,
)
from homeassistant.config_entries import ConfigEntry
from homeassistant.const import (
ATTR_ATTRIBUTION,
ATTR_LATITUDE,
ATTR_LONGITUDE,
MASS_POUNDS,
PERCENTAGE,
)
from homeassistant.core import HomeAssistant
from homeassistant.helpers.entity_platform import AddEntitiesCallback
from homeassistant.helpers.typing import StateType
from homeassistant.helpers.update_coordinator import (
CoordinatorEntity,
DataUpdateCoordinator,
)
from .const import (
CONF_BALANCING_AUTHORITY,
CONF_BALANCING_AUTHORITY_ABBREV,
DATA_COORDINATOR,
DOMAIN,
)
ATTR_BALANCING_AUTHORITY = "balancing_authority"
DEFAULT_ATTRIBUTION = "Pickup data provided by WattTime"
SENSOR_TYPE_REALTIME_EMISSIONS_MOER = "moer"
SENSOR_TYPE_REALTIME_EMISSIONS_PERCENT = "percent"
REALTIME_EMISSIONS_SENSOR_DESCRIPTIONS = (
SensorEntityDescription(
key=SENSOR_TYPE_REALTIME_EMISSIONS_MOER,
name="Marginal Operating Emissions Rate",
icon="mdi:blur",
native_unit_of_measurement=f"{MASS_POUNDS} CO2/MWh",
state_class=STATE_CLASS_MEASUREMENT,
),
SensorEntityDescription(
key=SENSOR_TYPE_REALTIME_EMISSIONS_PERCENT,
name="Relative Marginal Emissions Intensity",
icon="mdi:blur",
native_unit_of_measurement=PERCENTAGE,
state_class=STATE_CLASS_MEASUREMENT,
),
)
async def async_setup_entry(
hass: HomeAssistant, entry: ConfigEntry, async_add_entities: AddEntitiesCallback
) -> None:
"""Set up WattTime sensors based on a config entry."""
coordinator = hass.data[DOMAIN][entry.entry_id][DATA_COORDINATOR]
async_add_entities(
[
RealtimeEmissionsSensor(coordinator, description)
for description in REALTIME_EMISSIONS_SENSOR_DESCRIPTIONS
if description.key in coordinator.data
]
)
class RealtimeEmissionsSensor(CoordinatorEntity, SensorEntity):
"""Define a realtime emissions sensor."""
def __init__(
self,
coordinator: DataUpdateCoordinator,
description: SensorEntityDescription,
) -> None:
"""Initialize the sensor."""
super().__init__(coordinator)
if TYPE_CHECKING:
assert coordinator.config_entry
self._attr_extra_state_attributes = {
ATTR_ATTRIBUTION: DEFAULT_ATTRIBUTION,
ATTR_BALANCING_AUTHORITY: coordinator.config_entry.data[
CONF_BALANCING_AUTHORITY
],
ATTR_LATITUDE: coordinator.config_entry.data[ATTR_LATITUDE],
ATTR_LONGITUDE: coordinator.config_entry.data[ATTR_LONGITUDE],
}
self._attr_name = f"{description.name} ({coordinator.config_entry.data[CONF_BALANCING_AUTHORITY_ABBREV]})"
self._attr_unique_id = f"{coordinator.config_entry.entry_id}_{description.key}"
self.entity_description = description
@property
def native_value(self) -> StateType:
"""Return the value reported by the sensor."""
return self.coordinator.data[self.entity_description.key]
| [
1,
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myenv/lib/python2.7/site-packages/tests/tests.py | dkumarlinux/saleor | 0 | 82080 | """versatileimagefield tests."""
from __future__ import division
from __future__ import unicode_literals
from functools import reduce
import math
import operator
import os
from shutil import rmtree
from django import VERSION as DJANGO_VERSION
from django.conf import settings
from django.contrib.auth.models import User
from django.core.cache import cache
from django.core.exceptions import ImproperlyConfigured, ValidationError
from django.core.files import File
from django.core.files.uploadedfile import SimpleUploadedFile
from django.core import serializers
from django.template import Context
from django.template.loader import get_template
from django.test import Client, TestCase
from django.test.utils import override_settings
from django.utils._os import upath
from django.utils import six
from django.utils.six.moves import cPickle
from PIL import Image
from rest_framework.test import APIRequestFactory
from versatileimagefield.files import VersatileImageFileDescriptor
from versatileimagefield.datastructures.filteredimage import InvalidFilter
from versatileimagefield.datastructures.sizedimage import \
MalformedSizedImageKey, SizedImage
from versatileimagefield.datastructures.filteredimage import FilteredImage
from versatileimagefield.image_warmer import VersatileImageFieldWarmer
from versatileimagefield.registry import (
autodiscover,
versatileimagefield_registry,
AlreadyRegistered,
InvalidSizedImageSubclass,
InvalidFilteredImageSubclass,
NotRegistered,
UnallowedSizerName,
UnallowedFilterName
)
from versatileimagefield.settings import (
VERSATILEIMAGEFIELD_SIZED_DIRNAME,
VERSATILEIMAGEFIELD_FILTERED_DIRNAME,
VERSATILEIMAGEFIELD_PLACEHOLDER_DIRNAME
)
from versatileimagefield.utils import (
get_rendition_key_set,
InvalidSizeKey,
InvalidSizeKeySet
)
from versatileimagefield.validators import validate_ppoi_tuple
from versatileimagefield.versatileimagefield import CroppedImage, InvertImage
from .forms import (
VersatileImageTestModelForm,
VersatileImageWidgetTestModelForm,
VersatileImageTestModelFormDjango15
)
from .models import (
VersatileImageTestModel,
VersatileImageWidgetTestModel,
VersatileImageTestUploadDirectoryModel,
)
from .serializers import VersatileImageTestModelSerializer
ADMIN_URL = '/admin/tests/versatileimagewidgettestmodel/1/'
if DJANGO_VERSION[0] == 1 and DJANGO_VERSION[1] >= 9:
ADMIN_URL = '/admin/tests/versatileimagewidgettestmodel/1/change/'
class VersatileImageFieldBaseTestCase(TestCase):
"""Base test case for versatileimagefield."""
@classmethod
def tearDownClass(cls):
"""Delete files made by VersatileImageFields during tests."""
filtered_path = os.path.join(
settings.MEDIA_ROOT,
VERSATILEIMAGEFIELD_FILTERED_DIRNAME
)
sized_path = os.path.join(
settings.MEDIA_ROOT,
VERSATILEIMAGEFIELD_SIZED_DIRNAME
)
placeholder_path = os.path.join(
settings.MEDIA_ROOT,
VERSATILEIMAGEFIELD_PLACEHOLDER_DIRNAME
)
rmtree(filtered_path, ignore_errors=True)
rmtree(sized_path, ignore_errors=True)
rmtree(placeholder_path, ignore_errors=True)
def assert_VersatileImageField_deleted(self, field_instance):
"""Assert `field_instance` (VersatileImageField instance) deletes."""
img_url = field_instance.crop['100x100'].url
self.assertEqual(
cache.get(img_url),
None
)
field_instance.create_on_demand = True
field_instance.crop['100x100'].url
self.assertEqual(
cache.get(img_url),
1
)
print(field_instance.crop['100x100'].name)
self.assertTrue(
field_instance.field.storage.exists(
field_instance.crop['100x100'].name
)
)
print(field_instance.crop['100x100'].name)
field_instance.field.storage.delete(
field_instance.crop['100x100'].name
)
self.assertFalse(
field_instance.field.storage.exists(
field_instance.crop['100x100'].name
)
)
print(img_url)
cache.delete(img_url)
self.assertEqual(
cache.get(img_url),
None
)
class VersatileImageFieldTestCase(VersatileImageFieldBaseTestCase):
"""Main test case for versatileimagefield."""
fixtures = ['versatileimagefield']
def setUp(self):
"""Build test instances, create test client."""
self.jpg = VersatileImageTestModel.objects.get(img_type='jpg')
self.png = VersatileImageTestModel.objects.get(img_type='png')
self.gif = VersatileImageTestModel.objects.get(img_type='gif')
self.delete_test = VersatileImageTestModel.objects.get(
img_type='delete_test'
)
self.widget_test = VersatileImageWidgetTestModel.objects.get(pk=1)
password = '<PASSWORD>'
user = User.objects.create_user(
username='test',
email='<EMAIL>',
password=password
)
user.is_active = True
user.is_staff = True
user.is_superuser = True
user.save()
client = Client()
login = client.login(
username='test',
password=password
)
self.assertTrue(login)
self.user = user
self.client = client
@staticmethod
def imageEqual(image1, image2):
"""Return True if `image1` & `image2` are identical images."""
h1 = image1.histogram()
h2 = image2.histogram()
rms = math.sqrt(
reduce(
operator.add,
map(lambda a, b: (a - b) ** 2, h1, h2)
) // len(h1)
)
return rms == 0.0
def test_check_storage_paths(self):
"""Ensure storage paths are properly set."""
self.assertEqual(self.jpg.image.name, 'python-logo.jpg')
self.assertEqual(self.png.image.name, 'python-logo.png')
self.assertEqual(self.gif.image.name, 'python-logo.gif')
def test_thumbnail_resized_path(self):
"""Ensure thumbnail Sizer paths are set correctly."""
self.assertEqual(
self.jpg.image.thumbnail['100x100'].url,
'/media/__sized__/python-logo-thumbnail-100x100-70.jpg'
)
def test_crop_resized_path(self):
"""Ensure crop Sizer paths are set correctly."""
self.assertEqual(
self.jpg.image.crop['100x100'].url,
'/media/__sized__/python-logo-crop-c0-25__0-25-100x100-70.jpg'
)
self.assertEqual(
self.gif.image.crop['100x100'].url,
'/media/__sized__/python-logo-crop-c0-75__0-75-100x100.gif'
)
self.assertEqual(
self.png.image.crop['100x100'].url,
'/media/__sized__/python-logo-crop-c0-5__0-5-100x100.png'
)
def test_invert_filtered_path(self):
"""Ensure crop Sizer paths are set correctly."""
self.assertEqual(
self.jpg.image.filters.invert.url,
'/media/__filtered__/python-logo__invert__.jpg'
)
def test_InvalidFilter(self):
"""Ensure InvalidFilter raises."""
with self.assertRaises(InvalidFilter):
invalid_filter = self.jpg.image.filters.non_existant.url
del invalid_filter
def test_invert_plus_thumbnail_sizer_filtered_path(self):
"""Ensure crop Sizer paths are set correctly."""
self.assertEqual(
self.jpg.image.filters.invert.thumbnail['100x100'].url,
(
'/media/__sized__/__filtered__/python-logo__invert__'
'-thumbnail-100x100-70.jpg'
)
)
def test_placeholder_image(self):
"""Ensure placeholder images work as intended."""
self.jpg.optional_image.create_on_demand = True
self.assertEqual(
self.jpg.optional_image.url,
'/media/__placeholder__/placeholder.png'
)
self.assertEqual(
self.jpg.optional_image.crop['100x100'].url,
'/media/__sized__/__placeholder__/'
'placeholder-crop-c0-5__0-5-100x100.png'
)
self.assertEqual(
self.jpg.optional_image.thumbnail['100x100'].url,
'/media/__sized__/__placeholder__/'
'placeholder-thumbnail-100x100.png'
)
self.assertEqual(
self.jpg.optional_image.filters.invert.url,
'/media/__placeholder__/__filtered__/placeholder__invert__.png'
)
self.assertEqual(
self.jpg.optional_image_2.crop['100x100'].url,
'/media/__sized__/__placeholder__/on-storage-placeholder/'
'placeholder-crop-c0-5__0-5-100x100.png'
)
self.assertEqual(
self.jpg.optional_image_2.thumbnail['100x100'].url,
'/media/__sized__/__placeholder__/on-storage-placeholder/'
'placeholder-thumbnail-100x100.png'
)
self.assertEqual(
self.jpg.optional_image_2.filters.invert.url,
'/media/__placeholder__/on-storage-placeholder/__filtered__/'
'placeholder__invert__.png'
)
self.assertFalse(
self.jpg.optional_image.field.storage.size(
self.jpg.optional_image.name
) is 0
)
self.jpg.optional_image.create_on_demand = False
def test_setting_ppoi_values(self):
"""Ensure PPOI values are set correctly."""
jpg = VersatileImageTestModel.objects.get(img_type='jpg')
self.assertEqual(
jpg.image.ppoi,
(0.25, 0.25)
)
jpg.image.ppoi = (0.5, 0.5)
jpg.save()
self.assertEqual(
jpg.image.ppoi,
(0.5, 0.5)
)
jpg.image.ppoi = '0.25x0.25'
jpg.save()
self.assertEqual(
jpg.image.ppoi,
(0.25, 0.25)
)
with self.assertRaises(ValidationError):
versatileimagefield = VersatileImageTestModel.objects.get(
img_type='jpg'
).image
versatileimagefield.ppoi = (1.5, 2)
with self.assertRaises(ValidationError):
versatileimagefield = VersatileImageTestModel.objects.get(
img_type='jpg'
).image
versatileimagefield.ppoi = 'picklexcucumber'
def test_invalid_ppoi_tuple_validation(self):
"""Ensure validate_ppoi_tuple works as expected."""
self.assertFalse(
validate_ppoi_tuple((0, 1.5, 6))
)
def test_create_on_demand_boolean(self):
"""Ensure create_on_demand boolean is set appropriately."""
jpg = VersatileImageTestModel.objects.get(img_type='jpg')
self.assertFalse(jpg.image.create_on_demand)
jpg.image.create_on_demand = True
self.assertTrue(jpg.image.create_on_demand)
with self.assertRaises(ValueError):
jpg = VersatileImageTestModel.objects.get(img_type='jpg')
jpg.image.create_on_demand = 'pickle'
def test_create_on_demand_functionality(self):
"""Ensure create_on_demand functionality works as advertised."""
jpg = VersatileImageTestModel.objects.get(img_type='jpg')
self.assert_VersatileImageField_deleted(jpg.image)
def test_custom_upload_to_thumbnail_deleted(self):
"""Test custom upload_to deletion works."""
o = VersatileImageTestUploadDirectoryModel.objects.get()
field_instance = o.image
field_instance.create_on_demand = True
path = field_instance.crop['100x100'].name
self.assertTrue(
field_instance.field.storage.exists(path)
)
field_instance.delete_sized_images()
self.assertFalse(
field_instance.field.storage.exists(path)
)
def test_image_warmer(self):
"""Ensure VersatileImageFieldWarmer works as advertised."""
jpg_warmer = VersatileImageFieldWarmer(
instance_or_queryset=self.jpg,
rendition_key_set='test_set',
image_attr='image'
)
num_created, failed_to_create = jpg_warmer.warm()
self.assertEqual(num_created, 5)
all_imgs_warmer = VersatileImageFieldWarmer(
instance_or_queryset=VersatileImageTestModel.objects.exclude(
img_type='delete_test'
),
rendition_key_set=(
('test_thumb', 'thumbnail__100x100'),
('test_crop', 'crop__100x100'),
('test_invert', 'filters__invert__url'),
),
image_attr='image',
verbose=True
)
num_created, failed_to_create = all_imgs_warmer.warm()
with self.assertRaises(ValueError):
invalid_warmer = VersatileImageFieldWarmer(
instance_or_queryset=['invalid'],
rendition_key_set=(
('test_thumb', 'thumbnail__10x10'),
),
image_attr='image'
)
del invalid_warmer
def test_VersatileImageFieldSerializer_output(self):
"""Ensure VersatileImageFieldSerializer serializes correctly."""
factory = APIRequestFactory()
request = factory.get('/admin/')
serializer = VersatileImageTestModelSerializer(
self.jpg,
context={'request': request}
)
self.assertEqual(
serializer.data.get('image'),
{
'test_crop': (
'http://testserver/media/__sized__/python-logo-crop'
'-c0-25__0-25-100x100-70.jpg'
),
'test_invert_crop': (
'http://testserver/media/__sized__/__filtered__/'
'python-logo__invert__-crop-c0-25__0-25-100x100-70.jpg'
),
'test_invert_thumb': (
'http://testserver/media/__sized__/__filtered__/'
'python-logo__invert__-thumbnail-100x100-70.jpg'
),
'test_invert': (
'http://testserver/media/__filtered__/'
'python-logo__invert__.jpg'
),
'test_thumb': (
'http://testserver/media/__sized__/python-logo-thumbnail'
'-100x100-70.jpg'
)
}
)
self.assertEqual(
serializer.data.get('optional_image'),
{
'test_crop': (
'http://testserver/media/__sized__/__placeholder__/placeholder-crop'
'-c0-5__0-5-100x100.png'
),
'test_invert_crop': (
'http://testserver/media/__sized__/__placeholder__/__filtered__/placeholder__invert__'
'-crop-c0-5__0-5-100x100.png'
),
'test_invert_thumb': (
'http://testserver/media/__sized__/__placeholder__/__filtered__/placeholder__invert__'
'-thumbnail-100x100.png'
),
'test_invert': (
'http://testserver/media/__placeholder__/__filtered__/placeholder'
'__invert__.png'
),
'test_thumb': (
'http://testserver/media/__sized__/__placeholder__/placeholder-thumbnail'
'-100x100.png'
)
}
)
def test_widget_javascript(self):
"""Ensure VersatileImagePPOIClickWidget widget loads appropriately."""
response = self.client.get(
ADMIN_URL
)
self.assertEqual(response.status_code, 200)
if six.PY2:
response_content = str(response.content)
else:
response_content = str(response.content, encoding='utf-8')
# Test that javascript loads correctly
self.assertInHTML(
(
'<script type="text/javascript" '
'src="/static/versatileimagefield/js/versatileimagefield.js">'
'</script>'
),
response_content
)
# Test required field with PPOI
self.assertInHTML(
(
'<div class="image-wrap outer">'
' <div class="point-stage" id="image_0_point-stage"'
' data-image_preview_id="image_0_imagepreview">'
' <div class="ppoi-point" id="image_0_ppoi"></div>'
' </div>'
' <div class="image-wrap inner">'
' <img src="/media/__sized__/python-logo-thumbnail-300x300.png"'
' id="image_0_imagepreview"'
' data-hidden_field_id="id_image_1"'
' data-point_stage_id="image_0_point-stage"'
' data-ppoi_id="image_0_ppoi" class="sizedimage-preview"/>'
' </div>'
'</div>'
),
response_content
)
# Test required field no PPOI
self.assertInHTML(
(
'<a href="/media/python-logo.jpg">python-logo.jpg</a>'
),
response_content
)
# Test optional image no PPOI
self.assertInHTML(
(
'<div class="form-row field-optional_image">'
'<div>'
'<label for="id_optional_image">Optional image:</label>'
'Currently: <a href="/media/exif-orientation-examples/'
'Landscape_8.jpg">exif-orientation-examples/Landscape_8.jpg'
'</a> <input id="optional_image-clear_id" '
'name="optional_image-clear" type="checkbox" /> <label '
'for="optional_image-clear_id">Clear</label><br />Change: '
'<input id="id_optional_image" name="optional_image" '
'type="file" />'
'</div>'
'</div>'
),
response_content
)
# Test optional image with PPOI
self.assertInHTML(
(
'<div class="versatileimagefield">'
' <div class="sizedimage-mod initial">'
' <label class="versatileimagefield-label">Currently</label>'
' <a href="/media/exif-orientation-examples/Landscape_6.jpg">'
' exif-orientation-examples/Landscape_6.jpg</a>'
' </div>'
' <div class="sizedimage-mod clear">'
' <input id="optional_image_with_ppoi_0-clear_id"'
' name="optional_image_with_ppoi_0-clear" type="checkbox" />'
' <label class="versatileimagefield-label" for="optional_image_with_ppoi_0-clear_id">'
' Clear: </label>'
' </div>'
' <div class="sizedimage-mod preview">'
' <label class="versatileimagefield-label">'
' Primary Point of Interest</label>'
' <div class="image-wrap outer">'
' <div class="point-stage"'
' id="optional_image_with_ppoi_0_point-stage"'
' data-image_preview_id="optional_image_with_ppoi_0_imagepreview">'
' <div class="ppoi-point" id="optional_image_with_ppoi_0_ppoi"></div>'
' </div>'
' <div class="image-wrap inner">'
' <img src="/media/__sized__/exif-orientation-examples/'
'Landscape_6-thumbnail-300x300-70.jpg"'
' id="optional_image_with_ppoi_0_imagepreview"'
' data-hidden_field_id="id_optional_image_with_ppoi_1"'
' data-point_stage_id="optional_image_with_ppoi_0_point-stage"'
' data-ppoi_id="optional_image_with_ppoi_0_ppoi" class="sizedimage-preview"/>'
' </div>'
' </div>'
' </div>'
' <div class="sizedimage-mod new-upload">'
' <label class="versatileimagefield-label">Change</label>'
' <input class="file-chooser" id="id_optional_image_with_ppoi_0" '
'name="optional_image_with_ppoi_0" type="file" />'
' </div>'
' <input class="ppoi-input" id="id_optional_image_with_ppoi_1"'
' name="optional_image_with_ppoi_1" type="hidden" value="1.0x1.0" />'
'</div>'
),
response_content
)
self.assertTrue(
self.widget_test.image.field.storage.exists(
self.widget_test.image.thumbnail['300x300'].name
)
)
f = VersatileImageWidgetTestModelForm(
data={
'optional_image_with_ppoi_0': '',
'optional_image_with_ppoi_0-clear': 'on'
},
instance=self.widget_test
)
instance = f.save()
self.assertEqual(instance.optional_image_with_ppoi.name, '')
def test_VersatileImageFileDescriptor(self):
"""Ensure VersatileImageFileDescriptor works as intended."""
self.jpg.image = 'python-logo-2.jpg'
self.jpg.save()
self.assertEqual(
self.jpg.image.thumbnail['100x100'].url,
'/media/__sized__/python-logo-2-thumbnail-100x100-70.jpg'
)
self.jpg.image = 'python-logo.jpg'
self.jpg.save()
self.assertEqual(
self.jpg.image.thumbnail['100x100'].url,
'/media/__sized__/python-logo-thumbnail-100x100-70.jpg'
)
fieldfile_obj = self.jpg.image
del fieldfile_obj.field
self.jpg.image = fieldfile_obj
img_path = self.jpg.image.path
img_file = open(img_path, 'rb')
django_file = File(img_file)
self.jpg.image = django_file
with self.assertRaises(AttributeError):
x = VersatileImageFileDescriptor(self.jpg.image.name)
VersatileImageFileDescriptor.__get__(x)
def test_VersatileImageField_picklability(self):
"""Ensure VersatileImageField instances can be pickled/unpickled."""
cPickle.dump(
self.jpg,
open("pickletest.p", "wb")
)
jpg_unpickled = cPickle.load(
open("pickletest.p", "rb")
)
jpg_instance = jpg_unpickled
self.assertEqual(
jpg_instance.image.thumbnail['100x100'].url,
'/media/__sized__/python-logo-thumbnail-100x100-70.jpg'
)
pickled_state = self.jpg.image.__getstate__()
self.assertEqual(
pickled_state,
{
'_create_on_demand': False,
'_committed': True,
'_file': None,
'name': 'python-logo.jpg',
'closed': False
}
)
def test_VERSATILEIMAGEFIELD_RENDITION_KEY_SETS_setting(self):
"""Ensure VERSATILEIMAGEFIELD_RENDITION_KEY_SETS setting validates."""
with self.assertRaises(ImproperlyConfigured):
get_rendition_key_set('does_not_exist')
with self.assertRaises(InvalidSizeKeySet):
get_rendition_key_set('invalid_set')
with self.assertRaises(InvalidSizeKey):
get_rendition_key_set('invalid_size_key')
def __test_exif_orientation_rotate_180(self):
"""Ensure exif orientation==3 data processes properly."""
exif_3 = VersatileImageTestModel.objects.get(
img_type='exif_3'
)
exif_3.image.create_on_demand = True
exif_3_path = exif_3.image.thumbnail['100x100'].name
exif_3_img = exif_3.image.field.storage.open(
exif_3_path
)
exif_3_control = exif_3.image.field.storage.open(
'verify-against/exif-orientation-examples/'
'Landscape_3-thumbnail-100x100-70.jpg'
)
img = Image.open(exif_3_img)
control_img = Image.open(exif_3_control)
self.assertTrue(
self.imageEqual(
img,
control_img
)
)
def __test_exif_orientation_rotate_270(self):
"""Ensure exif orientation==6 data processes properly."""
exif_6 = VersatileImageTestModel.objects.get(
img_type='exif_6'
)
exif_6.image.create_on_demand = True
exif_6_img = exif_6.image.field.storage.open(
exif_6.image.thumbnail['100x100'].name
)
exif_6_control = exif_6.image.field.storage.open(
'verify-against/exif-orientation-examples/'
'Landscape_6-thumbnail-100x100-70.jpg'
)
self.assertTrue(
self.imageEqual(
Image.open(exif_6_img),
Image.open(exif_6_control)
)
)
def __test_exif_orientation_rotate_90(self):
"""Ensure exif orientation==8 data processes properly."""
exif_8 = VersatileImageTestModel.objects.get(
img_type='exif_8'
)
exif_8.image.create_on_demand = True
exif_8_img = exif_8.image.field.storage.open(
exif_8.image.thumbnail['100x100'].name
)
exif_8_control = exif_8.image.field.storage.open(
'verify-against/exif-orientation-examples/'
'Landscape_8-thumbnail-100x100-70.jpg'
)
self.assertTrue(
self.imageEqual(
Image.open(exif_8_img),
Image.open(exif_8_control)
)
)
def test_horizontal_and_vertical_crop(self):
"""Test horizontal and vertical crops with 'extreme' PPOI values."""
test_gif = VersatileImageTestModel.objects.get(
img_type='gif'
)
test_gif.image.create_on_demand = True
test_gif.image.ppoi = (0, 0)
# Vertical w/ PPOI == '0x0'
vertical_image_crop = test_gif.image.field.storage.open(
test_gif.image.crop['30x100'].name
)
vertical_image_crop_control = test_gif.image.field.storage.open(
'verify-against/python-logo-crop-c0__0-30x100.gif'
)
self.assertTrue(
self.imageEqual(
Image.open(vertical_image_crop),
Image.open(vertical_image_crop_control)
)
)
# Horizontal w/ PPOI == '0x0'
horiz_image_crop = test_gif.image.field.storage.open(
test_gif.image.crop['100x30'].name
)
horiz_image_crop_control = test_gif.image.field.storage.open(
'verify-against/python-logo-crop-c0__0-100x30.gif'
)
self.assertTrue(
self.imageEqual(
Image.open(horiz_image_crop),
Image.open(horiz_image_crop_control)
)
)
test_gif.image.ppoi = (1, 1)
# Vertical w/ PPOI == '1x1'
vertical_image_crop = test_gif.image.field.storage.open(
test_gif.image.crop['30x100'].name
)
vertical_image_crop_control = test_gif.image.field.storage.open(
'verify-against/python-logo-crop-c1__1-30x100.gif'
)
self.assertTrue(
self.imageEqual(
Image.open(vertical_image_crop),
Image.open(vertical_image_crop_control)
)
)
# Horizontal w/ PPOI == '1x1'
horiz_image_crop = test_gif.image.field.storage.open(
test_gif.image.crop['100x30'].name
)
horiz_image_crop_control = test_gif.image.field.storage.open(
'verify-against/python-logo-crop-c1__1-100x30.gif'
)
self.assertTrue(
self.imageEqual(
Image.open(horiz_image_crop),
Image.open(horiz_image_crop_control)
)
)
def test_DummyFilter(self):
"""Test placeholder image functionality for filters."""
test_png = VersatileImageTestModel.objects.get(
img_type='png'
)
test_png.optional_image.create_on_demand = True
test_png.optional_image.filters.invert.url
def test_crop_and_thumbnail_key_assignment(self):
"""Test placeholder image functionality for filters."""
with self.assertRaises(NotImplementedError):
jpg = VersatileImageTestModel.objects.get(img_type='jpg')
jpg.image.crop['100x100'] = None
with self.assertRaises(NotImplementedError):
jpg = VersatileImageTestModel.objects.get(img_type='jpg')
jpg.image.thumbnail['100x100'] = None
def test_MalformedSizedImageKey(self):
"""Test MalformedSizedImageKey exception."""
with self.assertRaises(MalformedSizedImageKey):
self.jpg.image.thumbnail['fooxbar']
def test_registration_exceptions(self):
"""Ensure all registration-related exceptions fire as expected."""
class A(object):
pass
with self.assertRaises(InvalidSizedImageSubclass):
versatileimagefield_registry.register_sizer('a', A)
with self.assertRaises(InvalidFilteredImageSubclass):
versatileimagefield_registry.register_filter('a', A)
with self.assertRaises(UnallowedSizerName):
versatileimagefield_registry.register_sizer('chunks', CroppedImage)
with self.assertRaises(UnallowedFilterName):
versatileimagefield_registry.register_filter('_poop', InvertImage)
with self.assertRaises(AlreadyRegistered):
versatileimagefield_registry.register_sizer('crop', CroppedImage)
with self.assertRaises(AlreadyRegistered):
versatileimagefield_registry.register_filter('invert', InvertImage)
with self.assertRaises(NotRegistered):
versatileimagefield_registry.unregister_sizer('poop')
with self.assertRaises(NotRegistered):
versatileimagefield_registry.unregister_filter('poop')
def test_unregister_methods(self):
"""Ensure versatileimagefield_registry unregister methods work."""
self.assertTrue(
'crop' in versatileimagefield_registry._sizedimage_registry
)
versatileimagefield_registry.unregister_sizer('crop')
self.assertFalse(
'crop' in versatileimagefield_registry._sizedimage_registry
)
self.assertTrue(
'invert' in versatileimagefield_registry._filter_registry
)
versatileimagefield_registry.unregister_filter('invert')
self.assertFalse(
'invert' in versatileimagefield_registry._filter_registry
)
def test_save_form_data(self):
"""Test VersatileImageField.save_form_data."""
with open(
os.path.join(
os.path.dirname(upath(__file__)),
"test.png"
),
'rb'
) as fp:
image_data = fp.read()
with open(
os.path.join(
os.path.dirname(upath(__file__)),
"test2.png"
),
'rb'
) as fp:
image_data2 = fp.read()
if DJANGO_VERSION[0] == 1 and DJANGO_VERSION[1] == 5:
form_class = VersatileImageTestModelFormDjango15
else:
form_class = VersatileImageTestModelForm
# Testing new uploads
f = form_class(
data={'img_type': 'xxx'},
files={
'image_0': SimpleUploadedFile('test.png', image_data),
'optional_image': SimpleUploadedFile(
'test2.png', image_data2
)
}
)
self.assertEqual(f.is_valid(), True)
self.assertEqual(type(f.cleaned_data['image'][0]), SimpleUploadedFile)
self.assertEqual(
type(f.cleaned_data['optional_image']), SimpleUploadedFile
)
instance = f.save()
self.assertEqual(instance.image.name.lstrip('./'), 'test.png')
self.assertEqual(
instance.optional_image.name.lstrip('./'),
'test2.png'
)
# Testing updating files / PPOI values
# Deleting optional_image file (since it'll be cleared with the
# next form)
instance.optional_image.delete()
f2 = form_class(
data={
'img_type': 'xxx',
'image_0': '',
'image_1': '0.25x0.25',
'optional_image-clear': 'on'
},
instance=instance
)
instance = f2.save()
self.assertEqual(instance.image.ppoi, (0.25, 0.25))
self.assertEqual(instance.optional_image.name, '')
instance.image.delete(save=False)
def test_ProcessedImage_subclass_exceptions(self):
"""Ensure ProcessedImage subclasses throw NotImplementedError."""
with self.assertRaises(NotImplementedError):
class SizedImageSubclass(SizedImage):
pass
SizedImageSubclass('', '', False)
with self.assertRaises(NotImplementedError):
class SizedImageSubclass(SizedImage):
filename_key = 'test'
x = SizedImageSubclass('', '', False)
x.process_image(image=None, image_format='JPEG', save_kwargs={},
width=100, height=100)
with self.assertRaises(NotImplementedError):
class FilteredImageSubclass(FilteredImage):
filename_key = 'test'
x = FilteredImageSubclass(
self.jpg.image.name,
self.jpg.image.field.storage,
False,
filename_key='foo'
)
x.process_image(image=None, image_format='JPEG', save_kwargs={})
@override_settings(
INSTALLED_APPS=('tests.test_autodiscover',)
)
def test_autodiscover(self):
"""Test autodiscover ImportError."""
self.assertRaises(
ImportError,
autodiscover
)
@override_settings(
VERSATILEIMAGEFIELD_USE_PLACEHOLDIT=True
)
def test_placeholdit(self):
"""Test placehold.it integration."""
jpg = VersatileImageTestModel.objects.get(img_type='jpg')
self.assertEqual(
jpg.optional_image_3.filters.invert.crop['400x400'].url,
'http://placehold.it/400x400'
)
def test_template_rendering(self):
"""Test template rendering of image."""
t = get_template("test-template.html")
c = Context({
'instance': self.jpg
})
rendered = t.render(c)
self.assertHTMLEqual(
rendered,
"""
<html>
<body>
<img id="image-crop" src="/media/__sized__/python-logo-crop-c0-25__0-25-400x400-70.jpg" />
<img id="image-thumbnail" src="/media/__sized__/python-logo-thumbnail-400x400-70.jpg" />
<img id="image-invert" src="/media/__filtered__/python-logo__invert__.jpg" />
<img id="image-invert-crop" src="/media/__sized__/__filtered__/python-logo__invert__-crop-c0-25__0-25-400x400-70.jpg" />
<img src="/media/__sized__/__placeholder__/placeholder-crop-c0-5__0-5-400x400.png" id="optional-image-crop"/>
</body>
</html>
"""
)
def test_field_serialization(self):
"""Ensure VersatileImageField and PPOIField serialize correctly."""
output = serializers.serialize(
'json',
VersatileImageTestModel.objects.filter(pk=1)
)
self.assertJSONEqual(
output,
[
{
"fields": {
"img_type": "png",
"ppoi": "0.5x0.5",
"width": 601,
"height": 203,
"image": "python-logo.png",
"optional_image_3": "",
"optional_image_2": "",
"optional_image": "python-logo.jpg"
},
"model": "tests.versatileimagetestmodel",
"pk": 1
}
]
)
def test_bound_form_data(self):
"""Ensure correct data displays after form validation errors."""
response = self.client.post(
ADMIN_URL,
{
'required_text_field': ''
},
follow=True
)
self.assertEqual(response.status_code, 200)
if six.PY2:
response_content = str(response.content)
else:
response_content = str(response.content, encoding='utf-8')
self.assertInHTML(
(
'<img src="/media/__sized__/python-logo-thumbnail-300x300.'
'png" id="image_0_imagepreview" data-hidden_field_id='
'"id_image_1" data-point_stage_id="image_0_point-stage" '
'data-ppoi_id="image_0_ppoi" class="sizedimage-preview"/>'
),
response_content
)
def test_individual_rendition_cache_clear(self):
"""Test that VersatileImageField can clear individual cache entries."""
expected_image_url = (
'/media/__sized__/delete-test/python-logo-delete-test-thumbnail-100x100-70.jpg'
)
self.assertEqual(
cache.get(expected_image_url),
None
)
img = self.delete_test
img.image.create_on_demand = True
img_url = img.image.thumbnail['100x100'].url
del img_url
self.assertEqual(
cache.get(expected_image_url),
1
)
img.image.thumbnail['100x100'].delete()
self.assertEqual(
cache.get(expected_image_url),
None
)
self.assertFalse(
img.image.field.storage.exists(
'__sized__/delete-test/python-logo-delete-test-thumbnail-100x100-70.jpg'
)
)
def test_rendition_delete(self):
"""Test rendition deletion."""
img = self.delete_test
self.assertFalse(
img.image.field.storage.exists(
'__sized__/delete-test/python-logo-delete-test-thumbnail-100x100-70.jpg'
)
)
img.image.create_on_demand = True
thumb_url = img.image.thumbnail['100x100'].url
self.assertEqual(
cache.get(thumb_url),
1
)
self.assertTrue(
img.image.field.storage.exists(
'__sized__/delete-test/python-logo-delete-test-thumbnail-100x100-70.jpg'
)
)
img.image.delete_all_created_images()
invert_url = img.image.filters.invert.url
self.assertEqual(
cache.get(invert_url),
1
)
self.assertTrue(
img.image.field.storage.exists(
'delete-test/__filtered__/python-logo-delete-test__invert__.jpg'
)
)
invert_and_thumb_url = img.image.filters.invert.thumbnail[
'100x100'
].url
self.assertEqual(
cache.get(invert_and_thumb_url),
1
)
self.assertTrue(
img.image.field.storage.exists(
'__sized__/delete-test/__filtered__/python-logo-delete-test__invert__'
'-thumbnail-100x100-70.jpg'
)
)
img.image.delete_all_created_images()
self.assertEqual(
cache.get(thumb_url),
None
)
self.assertFalse(
img.image.field.storage.exists(
'__sized__/delete-test/python-logo-delete-test-thumbnail-100x100-70.jpg'
)
)
self.assertEqual(
cache.get(invert_url),
None
)
self.assertFalse(
img.image.field.storage.exists(
'delete-test/__filtered__/python-logo-delete-test__invert__.jpg'
)
)
self.assertEqual(
cache.get(invert_and_thumb_url),
None
)
self.assertFalse(
img.image.field.storage.exists(
'__sized__/delete-test/__filtered__/python-logo-delete-test__invert__'
'-thumbnail-100x100-70.jpg'
)
)
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353,
3132,
29889,
7507,
29898,
13,
9651,
8952,
2433,
1688,
742,
13,
9651,
4800,
29922,
5630,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
5574,
29898,
7507,
29897,
13,
4706,
1583,
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1792,
353,
1404,
13,
4706,
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29889,
4645,
353,
3132,
13,
13,
1678,
732,
7959,
5696,
13,
1678,
822,
1967,
9843,
29898,
3027,
29896,
29892,
1967,
29906,
1125,
13,
4706,
9995,
11609,
5852,
565,
421,
3027,
29896,
29952,
669,
421,
3027,
29906,
29952,
526,
13557,
4558,
1213,
15945,
13,
4706,
298,
29896,
353,
1967,
29896,
29889,
29882,
391,
13342,
580,
13,
4706,
298,
29906,
353,
1967,
29906,
29889,
29882,
391,
13342,
580,
13,
4706,
364,
1516,
353,
5844,
29889,
3676,
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13,
9651,
10032,
29898,
13,
18884,
5455,
29889,
1202,
29892,
13,
18884,
2910,
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2892,
263,
29892,
289,
29901,
313,
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448,
289,
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3579,
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29906,
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298,
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298,
29906,
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13,
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13,
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13,
4706,
736,
364,
1516,
1275,
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29900,
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29900,
13,
13,
1678,
822,
1243,
29918,
3198,
29918,
12925,
29918,
24772,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
8635,
10898,
526,
6284,
731,
1213,
15945,
13,
4706,
1583,
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9294,
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1311,
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6173,
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3027,
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978,
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525,
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29899,
14569,
29889,
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1495,
13,
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1583,
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1311,
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2732,
29889,
3027,
29889,
978,
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525,
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29899,
14569,
29889,
2732,
1495,
13,
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1583,
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9294,
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1311,
29889,
18660,
29889,
3027,
29889,
978,
29892,
525,
4691,
29899,
14569,
29889,
18660,
1495,
13,
13,
1678,
822,
1243,
29918,
386,
21145,
29918,
690,
1891,
29918,
2084,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
266,
21145,
317,
3950,
10898,
526,
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5149,
1213,
15945,
13,
4706,
1583,
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13,
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1583,
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6173,
29889,
3027,
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386,
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1839,
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29900,
29900,
29916,
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29900,
29900,
13359,
2271,
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13,
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9799,
29914,
1649,
29879,
1891,
1649,
29914,
4691,
29899,
14569,
29899,
386,
21145,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29899,
29955,
29900,
29889,
6173,
29915,
13,
4706,
1723,
13,
13,
1678,
822,
1243,
29918,
29883,
1336,
29918,
690,
1891,
29918,
2084,
29898,
1311,
1125,
13,
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9995,
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1983,
545,
274,
1336,
317,
3950,
10898,
526,
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5149,
1213,
15945,
13,
4706,
1583,
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13,
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1583,
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6173,
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3027,
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1336,
1839,
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29900,
29900,
29916,
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29900,
29900,
13359,
2271,
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13,
9651,
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9799,
29914,
1649,
29879,
1891,
1649,
29914,
4691,
29899,
14569,
29899,
29883,
1336,
29899,
29883,
29900,
29899,
29906,
29945,
1649,
29900,
29899,
29906,
29945,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29899,
29955,
29900,
29889,
6173,
29915,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
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29898,
13,
9651,
1583,
29889,
18660,
29889,
3027,
29889,
29883,
1336,
1839,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
13359,
2271,
29892,
13,
9651,
8207,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
4691,
29899,
14569,
29899,
29883,
1336,
29899,
29883,
29900,
29899,
29955,
29945,
1649,
29900,
29899,
29955,
29945,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29889,
18660,
29915,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
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13,
9651,
1583,
29889,
2732,
29889,
3027,
29889,
29883,
1336,
1839,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
13359,
2271,
29892,
13,
9651,
8207,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
4691,
29899,
14569,
29899,
29883,
1336,
29899,
29883,
29900,
29899,
29945,
1649,
29900,
29899,
29945,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29889,
2732,
29915,
13,
4706,
1723,
13,
13,
1678,
822,
1243,
29918,
262,
1765,
29918,
4572,
287,
29918,
2084,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
274,
1336,
317,
3950,
10898,
526,
731,
5149,
1213,
15945,
13,
4706,
1583,
29889,
9294,
9843,
29898,
13,
9651,
1583,
29889,
6173,
29889,
3027,
29889,
26705,
29889,
262,
1765,
29889,
2271,
29892,
13,
9651,
8207,
9799,
29914,
1649,
4572,
287,
1649,
29914,
4691,
29899,
14569,
1649,
262,
1765,
26914,
6173,
29915,
13,
4706,
1723,
13,
13,
1678,
822,
1243,
29918,
13919,
5072,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
21403,
5072,
1153,
4637,
1213,
15945,
13,
4706,
411,
1583,
29889,
9294,
29934,
1759,
267,
29898,
13919,
5072,
1125,
13,
9651,
8340,
29918,
4572,
353,
1583,
29889,
6173,
29889,
3027,
29889,
26705,
29889,
5464,
29918,
735,
22137,
29889,
2271,
13,
9651,
628,
8340,
29918,
4572,
13,
13,
1678,
822,
1243,
29918,
262,
1765,
29918,
11242,
29918,
386,
21145,
29918,
29879,
3950,
29918,
4572,
287,
29918,
2084,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
274,
1336,
317,
3950,
10898,
526,
731,
5149,
1213,
15945,
13,
4706,
1583,
29889,
9294,
9843,
29898,
13,
9651,
1583,
29889,
6173,
29889,
3027,
29889,
26705,
29889,
262,
1765,
29889,
386,
21145,
1839,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
13359,
2271,
29892,
13,
9651,
313,
13,
18884,
8207,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
1649,
4572,
287,
1649,
29914,
4691,
29899,
14569,
1649,
262,
1765,
1649,
29915,
13,
18884,
17411,
386,
21145,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29899,
29955,
29900,
29889,
6173,
29915,
13,
9651,
1723,
13,
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1723,
13,
13,
1678,
822,
1243,
29918,
27074,
29918,
3027,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
12983,
4558,
664,
408,
9146,
1213,
15945,
13,
4706,
1583,
29889,
6173,
29889,
25253,
29918,
3027,
29889,
3258,
29918,
265,
29918,
2310,
392,
353,
5852,
13,
4706,
1583,
29889,
9294,
9843,
29898,
13,
9651,
1583,
29889,
6173,
29889,
25253,
29918,
3027,
29889,
2271,
29892,
13,
9651,
8207,
9799,
29914,
1649,
27074,
1649,
29914,
27074,
29889,
2732,
29915,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
9843,
29898,
13,
9651,
1583,
29889,
6173,
29889,
25253,
29918,
3027,
29889,
29883,
1336,
1839,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
13359,
2271,
29892,
13,
9651,
8207,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
1649,
27074,
1649,
22208,
13,
9651,
525,
27074,
29899,
29883,
1336,
29899,
29883,
29900,
29899,
29945,
1649,
29900,
29899,
29945,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29889,
2732,
29915,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
9843,
29898,
13,
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1583,
29889,
6173,
29889,
25253,
29918,
3027,
29889,
386,
21145,
1839,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
13359,
2271,
29892,
13,
9651,
8207,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
1649,
27074,
1649,
22208,
13,
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525,
27074,
29899,
386,
21145,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29889,
2732,
29915,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
9843,
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13,
9651,
1583,
29889,
6173,
29889,
25253,
29918,
3027,
29889,
26705,
29889,
262,
1765,
29889,
2271,
29892,
13,
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8207,
9799,
29914,
1649,
27074,
1649,
29914,
1649,
4572,
287,
1649,
29914,
27074,
1649,
262,
1765,
26914,
2732,
29915,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
9843,
29898,
13,
9651,
1583,
29889,
6173,
29889,
25253,
29918,
3027,
29918,
29906,
29889,
29883,
1336,
1839,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
13359,
2271,
29892,
13,
9651,
8207,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
1649,
27074,
1649,
29914,
265,
29899,
12925,
29899,
27074,
22208,
13,
9651,
525,
27074,
29899,
29883,
1336,
29899,
29883,
29900,
29899,
29945,
1649,
29900,
29899,
29945,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29889,
2732,
29915,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
9843,
29898,
13,
9651,
1583,
29889,
6173,
29889,
25253,
29918,
3027,
29918,
29906,
29889,
386,
21145,
1839,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
13359,
2271,
29892,
13,
9651,
8207,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
1649,
27074,
1649,
29914,
265,
29899,
12925,
29899,
27074,
22208,
13,
9651,
525,
27074,
29899,
386,
21145,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29889,
2732,
29915,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
9843,
29898,
13,
9651,
1583,
29889,
6173,
29889,
25253,
29918,
3027,
29918,
29906,
29889,
26705,
29889,
262,
1765,
29889,
2271,
29892,
13,
9651,
8207,
9799,
29914,
1649,
27074,
1649,
29914,
265,
29899,
12925,
29899,
27074,
29914,
1649,
4572,
287,
1649,
22208,
13,
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525,
27074,
1649,
262,
1765,
26914,
2732,
29915,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
8824,
29898,
13,
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1583,
29889,
6173,
29889,
25253,
29918,
3027,
29889,
2671,
29889,
12925,
29889,
2311,
29898,
13,
18884,
1583,
29889,
6173,
29889,
25253,
29918,
3027,
29889,
978,
13,
9651,
1723,
338,
29871,
29900,
13,
4706,
1723,
13,
4706,
1583,
29889,
6173,
29889,
25253,
29918,
3027,
29889,
3258,
29918,
265,
29918,
2310,
392,
353,
7700,
13,
13,
1678,
822,
1243,
29918,
26740,
29918,
407,
7768,
29918,
5975,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
349,
13152,
29902,
1819,
526,
731,
5149,
1213,
15945,
13,
4706,
432,
4061,
353,
10138,
24285,
2940,
3057,
3195,
29889,
12650,
29889,
657,
29898,
2492,
29918,
1853,
2433,
6173,
1495,
13,
4706,
1583,
29889,
9294,
9843,
29898,
13,
9651,
432,
4061,
29889,
3027,
29889,
407,
7768,
29892,
13,
9651,
313,
29900,
29889,
29906,
29945,
29892,
29871,
29900,
29889,
29906,
29945,
29897,
13,
4706,
1723,
13,
4706,
432,
4061,
29889,
3027,
29889,
407,
7768,
353,
313,
29900,
29889,
29945,
29892,
29871,
29900,
29889,
29945,
29897,
13,
4706,
432,
4061,
29889,
7620,
580,
13,
4706,
1583,
29889,
9294,
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13,
9651,
432,
4061,
29889,
3027,
29889,
407,
7768,
29892,
13,
9651,
313,
29900,
29889,
29945,
29892,
29871,
29900,
29889,
29945,
29897,
13,
4706,
1723,
13,
4706,
432,
4061,
29889,
3027,
29889,
407,
7768,
353,
525,
29900,
29889,
29906,
29945,
29916,
29900,
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29906,
29945,
29915,
13,
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432,
4061,
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7620,
580,
13,
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13,
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432,
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407,
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13,
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313,
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29906,
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29892,
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29900,
29889,
29906,
29945,
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13,
4706,
1723,
13,
13,
4706,
411,
1583,
29889,
9294,
29934,
1759,
267,
29898,
19448,
2392,
1125,
13,
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1224,
24285,
3027,
2671,
353,
10138,
24285,
2940,
3057,
3195,
29889,
12650,
29889,
657,
29898,
13,
18884,
10153,
29918,
1853,
2433,
6173,
29915,
13,
9651,
13742,
3027,
13,
9651,
1224,
24285,
3027,
2671,
29889,
407,
7768,
353,
313,
29896,
29889,
29945,
29892,
29871,
29906,
29897,
13,
13,
4706,
411,
1583,
29889,
9294,
29934,
1759,
267,
29898,
19448,
2392,
1125,
13,
9651,
1224,
24285,
3027,
2671,
353,
10138,
24285,
2940,
3057,
3195,
29889,
12650,
29889,
657,
29898,
13,
18884,
10153,
29918,
1853,
2433,
6173,
29915,
13,
9651,
13742,
3027,
13,
9651,
1224,
24285,
3027,
2671,
29889,
407,
7768,
353,
525,
23945,
2506,
29883,
1682,
2807,
29915,
13,
13,
1678,
822,
1243,
29918,
20965,
29918,
407,
7768,
29918,
23583,
29918,
18157,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
12725,
29918,
407,
7768,
29918,
23583,
1736,
408,
3806,
1213,
15945,
13,
4706,
1583,
29889,
9294,
8824,
29898,
13,
9651,
12725,
29918,
407,
7768,
29918,
23583,
3552,
29900,
29892,
29871,
29896,
29889,
29945,
29892,
29871,
29953,
876,
13,
4706,
1723,
13,
13,
1678,
822,
1243,
29918,
3258,
29918,
265,
29918,
2310,
392,
29918,
20054,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
1653,
29918,
265,
29918,
2310,
392,
7223,
338,
731,
7128,
2486,
1213,
15945,
13,
4706,
432,
4061,
353,
10138,
24285,
2940,
3057,
3195,
29889,
12650,
29889,
657,
29898,
2492,
29918,
1853,
2433,
6173,
1495,
13,
4706,
1583,
29889,
9294,
8824,
29898,
6173,
29889,
3027,
29889,
3258,
29918,
265,
29918,
2310,
392,
29897,
13,
4706,
432,
4061,
29889,
3027,
29889,
3258,
29918,
265,
29918,
2310,
392,
353,
5852,
13,
4706,
1583,
29889,
9294,
5574,
29898,
6173,
29889,
3027,
29889,
3258,
29918,
265,
29918,
2310,
392,
29897,
13,
13,
4706,
411,
1583,
29889,
9294,
29934,
1759,
267,
29898,
1917,
2392,
1125,
13,
9651,
432,
4061,
353,
10138,
24285,
2940,
3057,
3195,
29889,
12650,
29889,
657,
29898,
2492,
29918,
1853,
2433,
6173,
1495,
13,
9651,
432,
4061,
29889,
3027,
29889,
3258,
29918,
265,
29918,
2310,
392,
353,
525,
23945,
280,
29915,
13,
13,
1678,
822,
1243,
29918,
3258,
29918,
265,
29918,
2310,
392,
29918,
2220,
2877,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
1653,
29918,
265,
29918,
2310,
392,
9863,
1736,
408,
18811,
3368,
1213,
15945,
13,
4706,
432,
4061,
353,
10138,
24285,
2940,
3057,
3195,
29889,
12650,
29889,
657,
29898,
2492,
29918,
1853,
2433,
6173,
1495,
13,
4706,
1583,
29889,
9294,
29918,
29963,
414,
24285,
2940,
3073,
29918,
311,
22742,
29898,
6173,
29889,
3027,
29897,
13,
13,
1678,
822,
1243,
29918,
6341,
29918,
9009,
29918,
517,
29918,
386,
21145,
29918,
311,
22742,
29898,
1311,
1125,
13,
4706,
9995,
3057,
2888,
6441,
29918,
517,
7374,
291,
1736,
1213,
15945,
13,
4706,
288,
353,
10138,
24285,
2940,
3057,
17553,
9882,
3195,
29889,
12650,
29889,
657,
580,
13,
4706,
1746,
29918,
8758,
353,
288,
29889,
3027,
13,
4706,
1746,
29918,
8758,
29889,
3258,
29918,
265,
29918,
2310,
392,
353,
5852,
13,
4706,
2224,
353,
1746,
29918,
8758,
29889,
29883,
1336,
1839,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
13359,
978,
13,
4706,
1583,
29889,
9294,
5574,
29898,
13,
9651,
1746,
29918,
8758,
29889,
2671,
29889,
12925,
29889,
9933,
29898,
2084,
29897,
13,
4706,
1723,
13,
4706,
1746,
29918,
8758,
29889,
8143,
29918,
29879,
1891,
29918,
8346,
580,
13,
4706,
1583,
29889,
9294,
8824,
29898,
13,
9651,
1746,
29918,
8758,
29889,
2671,
29889,
12925,
29889,
9933,
29898,
2084,
29897,
13,
4706,
1723,
13,
13,
1678,
822,
1243,
29918,
3027,
29918,
4495,
1050,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
10138,
24285,
2940,
3073,
29956,
279,
1050,
1736,
408,
18811,
3368,
1213,
15945,
13,
4706,
432,
4061,
29918,
4495,
1050,
353,
10138,
24285,
2940,
3073,
29956,
279,
1050,
29898,
13,
9651,
2777,
29918,
272,
29918,
1972,
842,
29922,
1311,
29889,
6173,
29892,
13,
9651,
7697,
654,
29918,
1989,
29918,
842,
2433,
1688,
29918,
842,
742,
13,
9651,
1967,
29918,
5552,
2433,
3027,
29915,
13,
4706,
1723,
13,
4706,
954,
29918,
11600,
29892,
5229,
29918,
517,
29918,
3258,
353,
432,
4061,
29918,
4495,
1050,
29889,
29893,
2817,
580,
13,
4706,
1583,
29889,
9294,
9843,
29898,
1949,
29918,
11600,
29892,
29871,
29945,
29897,
13,
4706,
599,
29918,
2492,
29879,
29918,
4495,
1050,
353,
10138,
24285,
2940,
3073,
29956,
279,
1050,
29898,
13,
9651,
2777,
29918,
272,
29918,
1972,
842,
29922,
29963,
414,
24285,
2940,
3057,
3195,
29889,
12650,
29889,
735,
2325,
29898,
13,
18884,
10153,
29918,
1853,
2433,
8143,
29918,
1688,
29915,
13,
9651,
10353,
13,
9651,
7697,
654,
29918,
1989,
29918,
842,
7607,
13,
18884,
6702,
1688,
29918,
386,
3774,
742,
525,
386,
21145,
1649,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
5477,
13,
18884,
6702,
1688,
29918,
29883,
1336,
742,
525,
29883,
1336,
1649,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
5477,
13,
18884,
6702,
1688,
29918,
262,
1765,
742,
525,
26705,
1649,
262,
1765,
1649,
2271,
5477,
13,
9651,
10353,
13,
9651,
1967,
29918,
5552,
2433,
3027,
742,
13,
9651,
26952,
29922,
5574,
13,
4706,
1723,
13,
4706,
954,
29918,
11600,
29892,
5229,
29918,
517,
29918,
3258,
353,
599,
29918,
2492,
29879,
29918,
4495,
1050,
29889,
29893,
2817,
580,
13,
13,
4706,
411,
1583,
29889,
9294,
29934,
1759,
267,
29898,
1917,
2392,
1125,
13,
9651,
8340,
29918,
4495,
1050,
353,
10138,
24285,
2940,
3073,
29956,
279,
1050,
29898,
13,
18884,
2777,
29918,
272,
29918,
1972,
842,
29922,
1839,
20965,
7464,
13,
18884,
7697,
654,
29918,
1989,
29918,
842,
7607,
13,
462,
1678,
6702,
1688,
29918,
386,
3774,
742,
525,
386,
21145,
1649,
29896,
29900,
29916,
29896,
29900,
5477,
13,
18884,
10353,
13,
18884,
1967,
29918,
5552,
2433,
3027,
29915,
13,
9651,
1723,
13,
9651,
628,
8340,
29918,
4495,
1050,
13,
13,
1678,
822,
1243,
29918,
29963,
414,
24285,
2940,
3073,
17679,
29918,
4905,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
10138,
24285,
2940,
3073,
17679,
7797,
7093,
5149,
1213,
15945,
13,
4706,
12529,
353,
3450,
3089,
5126,
580,
13,
4706,
2009,
353,
12529,
29889,
657,
11219,
6406,
29914,
1495,
13,
4706,
7797,
3950,
353,
10138,
24285,
2940,
3057,
3195,
17679,
29898,
13,
9651,
1583,
29889,
6173,
29892,
13,
9651,
3030,
3790,
29915,
3827,
2396,
2009,
29913,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
9843,
29898,
13,
9651,
7797,
3950,
29889,
1272,
29889,
657,
877,
3027,
5477,
13,
9651,
426,
13,
18884,
525,
1688,
29918,
29883,
1336,
2396,
313,
13,
462,
1678,
525,
1124,
597,
1688,
2974,
29914,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
4691,
29899,
14569,
29899,
29883,
1336,
29915,
13,
462,
1678,
17411,
29883,
29900,
29899,
29906,
29945,
1649,
29900,
29899,
29906,
29945,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29899,
29955,
29900,
29889,
6173,
29915,
13,
18884,
10353,
13,
18884,
525,
1688,
29918,
262,
1765,
29918,
29883,
1336,
2396,
313,
13,
462,
1678,
525,
1124,
597,
1688,
2974,
29914,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
1649,
4572,
287,
1649,
22208,
13,
462,
1678,
525,
4691,
29899,
14569,
1649,
262,
1765,
1649,
29899,
29883,
1336,
29899,
29883,
29900,
29899,
29906,
29945,
1649,
29900,
29899,
29906,
29945,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29899,
29955,
29900,
29889,
6173,
29915,
13,
18884,
10353,
13,
18884,
525,
1688,
29918,
262,
1765,
29918,
386,
3774,
2396,
313,
13,
462,
1678,
525,
1124,
597,
1688,
2974,
29914,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
1649,
4572,
287,
1649,
22208,
13,
462,
1678,
525,
4691,
29899,
14569,
1649,
262,
1765,
1649,
29899,
386,
21145,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29899,
29955,
29900,
29889,
6173,
29915,
13,
18884,
10353,
13,
18884,
525,
1688,
29918,
262,
1765,
2396,
313,
13,
462,
1678,
525,
1124,
597,
1688,
2974,
29914,
9799,
29914,
1649,
4572,
287,
1649,
22208,
13,
462,
1678,
525,
4691,
29899,
14569,
1649,
262,
1765,
26914,
6173,
29915,
13,
18884,
10353,
13,
18884,
525,
1688,
29918,
386,
3774,
2396,
313,
13,
462,
1678,
525,
1124,
597,
1688,
2974,
29914,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
4691,
29899,
14569,
29899,
386,
21145,
29915,
13,
462,
1678,
17411,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29899,
29955,
29900,
29889,
6173,
29915,
13,
18884,
1723,
13,
9651,
500,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
9843,
29898,
13,
9651,
7797,
3950,
29889,
1272,
29889,
657,
877,
25253,
29918,
3027,
5477,
13,
9651,
426,
13,
18884,
525,
1688,
29918,
29883,
1336,
2396,
313,
13,
462,
1678,
525,
1124,
597,
1688,
2974,
29914,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
1649,
27074,
1649,
29914,
27074,
29899,
29883,
1336,
29915,
13,
462,
1678,
17411,
29883,
29900,
29899,
29945,
1649,
29900,
29899,
29945,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29889,
2732,
29915,
13,
18884,
10353,
13,
18884,
525,
1688,
29918,
262,
1765,
29918,
29883,
1336,
2396,
313,
13,
462,
1678,
525,
1124,
597,
1688,
2974,
29914,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
1649,
27074,
1649,
29914,
1649,
4572,
287,
1649,
29914,
27074,
1649,
262,
1765,
1649,
29915,
13,
462,
1678,
17411,
29883,
1336,
29899,
29883,
29900,
29899,
29945,
1649,
29900,
29899,
29945,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29889,
2732,
29915,
13,
18884,
10353,
13,
18884,
525,
1688,
29918,
262,
1765,
29918,
386,
3774,
2396,
313,
13,
462,
1678,
525,
1124,
597,
1688,
2974,
29914,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
1649,
27074,
1649,
29914,
1649,
4572,
287,
1649,
29914,
27074,
1649,
262,
1765,
1649,
29915,
13,
462,
1678,
17411,
386,
21145,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29889,
2732,
29915,
13,
18884,
10353,
13,
18884,
525,
1688,
29918,
262,
1765,
2396,
313,
13,
462,
1678,
525,
1124,
597,
1688,
2974,
29914,
9799,
29914,
1649,
27074,
1649,
29914,
1649,
4572,
287,
1649,
29914,
27074,
29915,
13,
462,
1678,
525,
1649,
262,
1765,
26914,
2732,
29915,
13,
18884,
10353,
13,
18884,
525,
1688,
29918,
386,
3774,
2396,
313,
13,
462,
1678,
525,
1124,
597,
1688,
2974,
29914,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
1649,
27074,
1649,
29914,
27074,
29899,
386,
21145,
29915,
13,
462,
1678,
17411,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29889,
2732,
29915,
13,
18884,
1723,
13,
9651,
500,
13,
4706,
1723,
13,
13,
1678,
822,
1243,
29918,
8030,
29918,
7729,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
10138,
24285,
2940,
29925,
13152,
2965,
1406,
8801,
11109,
15376,
7128,
2486,
1213,
15945,
13,
4706,
2933,
353,
1583,
29889,
4645,
29889,
657,
29898,
13,
9651,
11033,
16173,
29918,
4219,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
9843,
29898,
5327,
29889,
4882,
29918,
401,
29892,
29871,
29906,
29900,
29900,
29897,
13,
4706,
565,
4832,
29889,
20055,
29906,
29901,
13,
9651,
2933,
29918,
3051,
353,
851,
29898,
5327,
29889,
3051,
29897,
13,
4706,
1683,
29901,
13,
9651,
2933,
29918,
3051,
353,
851,
29898,
5327,
29889,
3051,
29892,
8025,
2433,
9420,
29899,
29947,
1495,
13,
4706,
396,
4321,
393,
3513,
15376,
5149,
13,
4706,
1583,
29889,
9294,
797,
7020,
29898,
13,
9651,
313,
13,
18884,
12801,
2154,
1134,
543,
726,
29914,
7729,
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3027,
29889,
2084,
13,
4706,
10153,
29918,
1445,
353,
1722,
29898,
2492,
29918,
2084,
29892,
525,
6050,
1495,
13,
4706,
9557,
29918,
1445,
353,
3497,
29898,
2492,
29918,
1445,
29897,
13,
4706,
1583,
29889,
6173,
29889,
3027,
353,
9557,
29918,
1445,
13,
4706,
411,
1583,
29889,
9294,
29934,
1759,
267,
29898,
6708,
2392,
1125,
13,
9651,
921,
353,
10138,
24285,
2940,
2283,
19124,
29898,
1311,
29889,
6173,
29889,
3027,
29889,
978,
29897,
13,
9651,
10138,
24285,
2940,
2283,
19124,
17255,
657,
12035,
29916,
29897,
13,
13,
1678,
822,
1243,
29918,
29963,
414,
24285,
2940,
3073,
29918,
23945,
29880,
3097,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
10138,
24285,
2940,
3073,
8871,
508,
367,
5839,
839,
29914,
348,
23945,
839,
1213,
15945,
13,
4706,
274,
29925,
860,
280,
29889,
15070,
29898,
13,
9651,
1583,
29889,
6173,
29892,
13,
9651,
1722,
703,
23945,
1026,
342,
29889,
29886,
613,
376,
29893,
29890,
1159,
13,
4706,
1723,
13,
4706,
432,
4061,
29918,
348,
23945,
839,
353,
274,
29925,
860,
280,
29889,
1359,
29898,
13,
9651,
1722,
703,
23945,
1026,
342,
29889,
29886,
613,
376,
6050,
1159,
13,
4706,
1723,
13,
4706,
432,
4061,
29918,
8758,
353,
432,
4061,
29918,
348,
23945,
839,
13,
4706,
1583,
29889,
9294,
9843,
29898,
13,
9651,
432,
4061,
29918,
8758,
29889,
3027,
29889,
386,
21145,
1839,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
13359,
2271,
29892,
13,
9651,
8207,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
4691,
29899,
14569,
29899,
386,
21145,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29899,
29955,
29900,
29889,
6173,
29915,
13,
4706,
1723,
13,
4706,
5839,
839,
29918,
3859,
353,
1583,
29889,
6173,
29889,
3027,
17255,
657,
3859,
1649,
580,
13,
4706,
1583,
29889,
9294,
9843,
29898,
13,
9651,
5839,
839,
29918,
3859,
29892,
13,
9651,
426,
13,
18884,
22868,
3258,
29918,
265,
29918,
2310,
392,
2396,
7700,
29892,
13,
18884,
22868,
2055,
4430,
2396,
5852,
29892,
13,
18884,
22868,
1445,
2396,
6213,
29892,
13,
18884,
525,
978,
2396,
525,
4691,
29899,
14569,
29889,
6173,
742,
13,
18884,
525,
15603,
2396,
7700,
13,
9651,
500,
13,
4706,
1723,
13,
13,
1678,
822,
1243,
29918,
5348,
29903,
1299,
29902,
1307,
2382,
3738,
27286,
29918,
29934,
11794,
22122,
29918,
10818,
29918,
1660,
9375,
29918,
26740,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
478,
23598,
1299,
29902,
1307,
2382,
3738,
27286,
29918,
29934,
11794,
22122,
29918,
10818,
29918,
1660,
9375,
4444,
2854,
1078,
1213,
15945,
13,
4706,
411,
1583,
29889,
9294,
29934,
1759,
267,
29898,
1888,
771,
546,
368,
3991,
2955,
1125,
13,
9651,
679,
29918,
28759,
654,
29918,
1989,
29918,
842,
877,
13221,
29918,
1333,
29918,
28997,
1495,
13,
13,
4706,
411,
1583,
29889,
9294,
29934,
1759,
267,
29898,
13919,
3505,
2558,
2697,
1125,
13,
9651,
679,
29918,
28759,
654,
29918,
1989,
29918,
842,
877,
20965,
29918,
842,
1495,
13,
13,
4706,
411,
1583,
29889,
9294,
29934,
1759,
267,
29898,
13919,
3505,
2558,
1125,
13,
9651,
679,
29918,
28759,
654,
29918,
1989,
29918,
842,
877,
20965,
29918,
2311,
29918,
1989,
1495,
13,
13,
1678,
822,
4770,
1688,
29918,
735,
361,
29918,
20659,
29918,
23361,
29918,
29896,
29947,
29900,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
429,
361,
19843,
1360,
29941,
848,
10174,
6284,
1213,
15945,
13,
4706,
429,
361,
29918,
29941,
353,
10138,
24285,
2940,
3057,
3195,
29889,
12650,
29889,
657,
29898,
13,
9651,
10153,
29918,
1853,
2433,
735,
361,
29918,
29941,
29915,
13,
4706,
1723,
13,
4706,
429,
361,
29918,
29941,
29889,
3027,
29889,
3258,
29918,
265,
29918,
2310,
392,
353,
5852,
13,
4706,
429,
361,
29918,
29941,
29918,
2084,
353,
429,
361,
29918,
29941,
29889,
3027,
29889,
386,
21145,
1839,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
13359,
978,
13,
4706,
429,
361,
29918,
29941,
29918,
2492,
353,
429,
361,
29918,
29941,
29889,
3027,
29889,
2671,
29889,
12925,
29889,
3150,
29898,
13,
9651,
429,
361,
29918,
29941,
29918,
2084,
13,
4706,
1723,
13,
4706,
429,
361,
29918,
29941,
29918,
6451,
353,
429,
361,
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29941,
29889,
3027,
29889,
2671,
29889,
12925,
29889,
3150,
29898,
13,
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525,
27902,
29899,
351,
475,
303,
29914,
735,
361,
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20659,
29899,
19057,
22208,
13,
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525,
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4167,
5738,
29918,
29941,
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386,
21145,
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29896,
29900,
29900,
29916,
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29900,
29900,
29899,
29955,
29900,
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6173,
29915,
13,
4706,
1723,
13,
4706,
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353,
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3150,
29898,
735,
361,
29918,
29941,
29918,
2492,
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13,
4706,
2761,
29918,
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353,
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3150,
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735,
361,
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29941,
29918,
6451,
29897,
13,
4706,
1583,
29889,
9294,
5574,
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13,
9651,
1583,
29889,
3027,
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29898,
13,
18884,
10153,
29892,
13,
18884,
2761,
29918,
2492,
13,
9651,
1723,
13,
4706,
1723,
13,
13,
1678,
822,
4770,
1688,
29918,
735,
361,
29918,
20659,
29918,
23361,
29918,
29906,
29955,
29900,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
429,
361,
19843,
1360,
29953,
848,
10174,
6284,
1213,
15945,
13,
4706,
429,
361,
29918,
29953,
353,
10138,
24285,
2940,
3057,
3195,
29889,
12650,
29889,
657,
29898,
13,
9651,
10153,
29918,
1853,
2433,
735,
361,
29918,
29953,
29915,
13,
4706,
1723,
13,
4706,
429,
361,
29918,
29953,
29889,
3027,
29889,
3258,
29918,
265,
29918,
2310,
392,
353,
5852,
13,
4706,
429,
361,
29918,
29953,
29918,
2492,
353,
429,
361,
29918,
29953,
29889,
3027,
29889,
2671,
29889,
12925,
29889,
3150,
29898,
13,
9651,
429,
361,
29918,
29953,
29889,
3027,
29889,
386,
21145,
1839,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
13359,
978,
13,
4706,
1723,
13,
4706,
429,
361,
29918,
29953,
29918,
6451,
353,
429,
361,
29918,
29953,
29889,
3027,
29889,
2671,
29889,
12925,
29889,
3150,
29898,
13,
9651,
525,
27902,
29899,
351,
475,
303,
29914,
735,
361,
29899,
20659,
29899,
19057,
22208,
13,
9651,
525,
29931,
4167,
5738,
29918,
29953,
29899,
386,
21145,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29899,
29955,
29900,
29889,
6173,
29915,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
5574,
29898,
13,
9651,
1583,
29889,
3027,
9843,
29898,
13,
18884,
7084,
29889,
3150,
29898,
735,
361,
29918,
29953,
29918,
2492,
511,
13,
18884,
7084,
29889,
3150,
29898,
735,
361,
29918,
29953,
29918,
6451,
29897,
13,
9651,
1723,
13,
4706,
1723,
13,
13,
1678,
822,
4770,
1688,
29918,
735,
361,
29918,
20659,
29918,
23361,
29918,
29929,
29900,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
429,
361,
19843,
1360,
29947,
848,
10174,
6284,
1213,
15945,
13,
4706,
429,
361,
29918,
29947,
353,
10138,
24285,
2940,
3057,
3195,
29889,
12650,
29889,
657,
29898,
13,
9651,
10153,
29918,
1853,
2433,
735,
361,
29918,
29947,
29915,
13,
4706,
1723,
13,
4706,
429,
361,
29918,
29947,
29889,
3027,
29889,
3258,
29918,
265,
29918,
2310,
392,
353,
5852,
13,
4706,
429,
361,
29918,
29947,
29918,
2492,
353,
429,
361,
29918,
29947,
29889,
3027,
29889,
2671,
29889,
12925,
29889,
3150,
29898,
13,
9651,
429,
361,
29918,
29947,
29889,
3027,
29889,
386,
21145,
1839,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
13359,
978,
13,
4706,
1723,
13,
4706,
429,
361,
29918,
29947,
29918,
6451,
353,
429,
361,
29918,
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29889,
3027,
29889,
2671,
29889,
12925,
29889,
3150,
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13,
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525,
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351,
475,
303,
29914,
735,
361,
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13,
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525,
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29918,
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386,
21145,
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29900,
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29900,
29900,
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29900,
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13,
4706,
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13,
4706,
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13,
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13,
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7084,
29889,
3150,
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735,
361,
29918,
29947,
29918,
2492,
511,
13,
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7084,
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3150,
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735,
361,
29918,
29947,
29918,
6451,
29897,
13,
9651,
1723,
13,
4706,
1723,
13,
13,
1678,
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1243,
29918,
22672,
29918,
392,
29918,
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29918,
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1336,
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1311,
1125,
13,
4706,
9995,
3057,
14698,
322,
11408,
8182,
567,
411,
525,
1062,
10291,
29915,
349,
13152,
29902,
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1213,
15945,
13,
4706,
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29918,
18660,
353,
10138,
24285,
2940,
3057,
3195,
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12650,
29889,
657,
29898,
13,
9651,
10153,
29918,
1853,
2433,
18660,
29915,
13,
4706,
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13,
4706,
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3027,
29889,
3258,
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265,
29918,
2310,
392,
353,
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13,
4706,
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29918,
18660,
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29889,
407,
7768,
353,
313,
29900,
29892,
29871,
29900,
29897,
13,
4706,
396,
11198,
936,
281,
29914,
349,
13152,
29902,
1275,
525,
29900,
29916,
29900,
29915,
13,
4706,
11408,
29918,
3027,
29918,
29883,
1336,
353,
1243,
29918,
18660,
29889,
3027,
29889,
2671,
29889,
12925,
29889,
3150,
29898,
13,
9651,
1243,
29918,
18660,
29889,
3027,
29889,
29883,
1336,
1839,
29941,
29900,
29916,
29896,
29900,
29900,
13359,
978,
13,
4706,
1723,
13,
4706,
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29918,
3027,
29918,
29883,
1336,
29918,
6451,
353,
1243,
29918,
18660,
29889,
3027,
29889,
2671,
29889,
12925,
29889,
3150,
29898,
13,
9651,
525,
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29899,
351,
475,
303,
29914,
4691,
29899,
14569,
29899,
29883,
1336,
29899,
29883,
29900,
1649,
29900,
29899,
29941,
29900,
29916,
29896,
29900,
29900,
29889,
18660,
29915,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
5574,
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13,
9651,
1583,
29889,
3027,
9843,
29898,
13,
18884,
7084,
29889,
3150,
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18575,
29918,
3027,
29918,
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1336,
511,
13,
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29918,
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29918,
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13,
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13,
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13,
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281,
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349,
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525,
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13,
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1336,
353,
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3027,
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12925,
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3150,
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13,
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1243,
29918,
18660,
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3027,
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1336,
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29900,
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29916,
29941,
29900,
13359,
978,
13,
4706,
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13,
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466,
29918,
3027,
29918,
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353,
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29918,
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3027,
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12925,
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3150,
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13,
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525,
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351,
475,
303,
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29899,
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1336,
29899,
29883,
29900,
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29900,
29899,
29896,
29900,
29900,
29916,
29941,
29900,
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18660,
29915,
13,
4706,
1723,
13,
4706,
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13,
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1583,
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13,
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3150,
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2015,
466,
29918,
3027,
29918,
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1336,
511,
13,
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3150,
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2015,
466,
29918,
3027,
29918,
29883,
1336,
29918,
6451,
29897,
13,
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1723,
13,
4706,
1723,
13,
13,
4706,
1243,
29918,
18660,
29889,
3027,
29889,
407,
7768,
353,
313,
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29892,
29871,
29896,
29897,
13,
4706,
396,
11198,
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281,
29914,
349,
13152,
29902,
1275,
525,
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29916,
29896,
29915,
13,
4706,
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13,
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29906,
29945,
29892,
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29900,
29889,
29906,
29945,
876,
13,
4706,
1583,
29889,
9294,
9843,
29898,
8758,
29889,
25253,
29918,
3027,
29889,
978,
29892,
27255,
13,
4706,
2777,
29889,
3027,
29889,
8143,
29898,
7620,
29922,
8824,
29897,
13,
13,
1678,
822,
1243,
29918,
7032,
287,
2940,
29918,
1491,
1990,
29918,
11739,
29879,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
10554,
287,
2940,
1014,
13203,
3183,
2216,
1888,
2037,
287,
2392,
1213,
15945,
13,
4706,
411,
1583,
29889,
9294,
29934,
1759,
267,
29898,
3664,
1888,
2037,
287,
2392,
1125,
13,
9651,
770,
317,
1891,
2940,
4035,
1990,
29898,
29903,
1891,
2940,
1125,
13,
18884,
1209,
13,
13,
9651,
317,
1891,
2940,
4035,
1990,
877,
742,
15516,
7700,
29897,
13,
13,
4706,
411,
1583,
29889,
9294,
29934,
1759,
267,
29898,
3664,
1888,
2037,
287,
2392,
1125,
13,
9651,
770,
317,
1891,
2940,
4035,
1990,
29898,
29903,
1891,
2940,
1125,
13,
18884,
10422,
29918,
1989,
353,
525,
1688,
29915,
13,
13,
9651,
921,
353,
317,
1891,
2940,
4035,
1990,
877,
742,
15516,
7700,
29897,
13,
9651,
921,
29889,
5014,
29918,
3027,
29898,
3027,
29922,
8516,
29892,
1967,
29918,
4830,
2433,
29967,
4162,
29954,
742,
4078,
29918,
19290,
3790,
1118,
13,
462,
9651,
2920,
29922,
29896,
29900,
29900,
29892,
3171,
29922,
29896,
29900,
29900,
29897,
13,
13,
4706,
411,
1583,
29889,
9294,
29934,
1759,
267,
29898,
3664,
1888,
2037,
287,
2392,
1125,
13,
9651,
770,
19916,
287,
2940,
4035,
1990,
29898,
5072,
287,
2940,
1125,
13,
18884,
10422,
29918,
1989,
353,
525,
1688,
29915,
13,
13,
9651,
921,
353,
19916,
287,
2940,
4035,
1990,
29898,
13,
18884,
1583,
29889,
6173,
29889,
3027,
29889,
978,
29892,
13,
18884,
1583,
29889,
6173,
29889,
3027,
29889,
2671,
29889,
12925,
29892,
13,
18884,
7700,
29892,
13,
18884,
10422,
29918,
1989,
2433,
5431,
29915,
13,
9651,
1723,
13,
9651,
921,
29889,
5014,
29918,
3027,
29898,
3027,
29922,
8516,
29892,
1967,
29918,
4830,
2433,
29967,
4162,
29954,
742,
4078,
29918,
19290,
3790,
1800,
13,
13,
1678,
732,
15752,
29918,
11027,
29898,
13,
4706,
2672,
1254,
1964,
20566,
29918,
3301,
7024,
29922,
877,
21150,
29889,
1688,
29918,
1300,
397,
10669,
957,
742,
29897,
13,
1678,
1723,
13,
1678,
822,
1243,
29918,
1300,
397,
10669,
957,
29898,
1311,
1125,
13,
4706,
9995,
3057,
1120,
397,
10669,
957,
16032,
2392,
1213,
15945,
13,
4706,
1583,
29889,
9294,
29934,
1759,
267,
29898,
13,
9651,
16032,
2392,
29892,
13,
9651,
1120,
397,
10669,
957,
13,
4706,
1723,
13,
13,
1678,
732,
15752,
29918,
11027,
29898,
13,
4706,
478,
23598,
1299,
29902,
1307,
2382,
3738,
27286,
29918,
17171,
29918,
7390,
11538,
29950,
5607,
29928,
1806,
29922,
5574,
13,
1678,
1723,
13,
1678,
822,
1243,
29918,
6689,
8948,
277,
29898,
1311,
1125,
13,
4706,
9995,
3057,
2058,
8948,
29889,
277,
13465,
1213,
15945,
13,
4706,
432,
4061,
353,
10138,
24285,
2940,
3057,
3195,
29889,
12650,
29889,
657,
29898,
2492,
29918,
1853,
2433,
6173,
1495,
13,
4706,
1583,
29889,
9294,
9843,
29898,
13,
9651,
432,
4061,
29889,
25253,
29918,
3027,
29918,
29941,
29889,
26705,
29889,
262,
1765,
29889,
29883,
1336,
1839,
29946,
29900,
29900,
29916,
29946,
29900,
29900,
13359,
2271,
29892,
13,
9651,
525,
1124,
597,
6689,
8948,
29889,
277,
29914,
29946,
29900,
29900,
29916,
29946,
29900,
29900,
29915,
13,
4706,
1723,
13,
13,
1678,
822,
1243,
29918,
6886,
29918,
9482,
292,
29898,
1311,
1125,
13,
4706,
9995,
3057,
4472,
15061,
310,
1967,
1213,
15945,
13,
4706,
260,
353,
679,
29918,
6886,
703,
1688,
29899,
6886,
29889,
1420,
1159,
13,
4706,
274,
353,
15228,
3319,
13,
9651,
525,
8758,
2396,
1583,
29889,
6173,
13,
4706,
5615,
13,
4706,
13751,
353,
260,
29889,
9482,
29898,
29883,
29897,
13,
4706,
1583,
29889,
9294,
3912,
29924,
1307,
15380,
29898,
13,
9651,
13751,
29892,
13,
9651,
9995,
13,
29966,
1420,
29958,
13,
29966,
2587,
29958,
13,
29966,
2492,
1178,
543,
3027,
29899,
29883,
1336,
29908,
4765,
13802,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
4691,
29899,
14569,
29899,
29883,
1336,
29899,
29883,
29900,
29899,
29906,
29945,
1649,
29900,
29899,
29906,
29945,
29899,
29946,
29900,
29900,
29916,
29946,
29900,
29900,
29899,
29955,
29900,
29889,
6173,
29908,
2900,
13,
29966,
2492,
1178,
543,
3027,
29899,
386,
21145,
29908,
4765,
13802,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
4691,
29899,
14569,
29899,
386,
21145,
29899,
29946,
29900,
29900,
29916,
29946,
29900,
29900,
29899,
29955,
29900,
29889,
6173,
29908,
2900,
13,
29966,
2492,
1178,
543,
3027,
29899,
262,
1765,
29908,
4765,
13802,
9799,
29914,
1649,
4572,
287,
1649,
29914,
4691,
29899,
14569,
1649,
262,
1765,
26914,
6173,
29908,
2900,
13,
29966,
2492,
1178,
543,
3027,
29899,
262,
1765,
29899,
29883,
1336,
29908,
4765,
13802,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
1649,
4572,
287,
1649,
29914,
4691,
29899,
14569,
1649,
262,
1765,
1649,
29899,
29883,
1336,
29899,
29883,
29900,
29899,
29906,
29945,
1649,
29900,
29899,
29906,
29945,
29899,
29946,
29900,
29900,
29916,
29946,
29900,
29900,
29899,
29955,
29900,
29889,
6173,
29908,
2900,
13,
29966,
2492,
4765,
13802,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
1649,
27074,
1649,
29914,
27074,
29899,
29883,
1336,
29899,
29883,
29900,
29899,
29945,
1649,
29900,
29899,
29945,
29899,
29946,
29900,
29900,
29916,
29946,
29900,
29900,
29889,
2732,
29908,
1178,
543,
25253,
29899,
3027,
29899,
29883,
1336,
4681,
13,
829,
2587,
29958,
13,
829,
1420,
29958,
13,
9651,
9995,
13,
4706,
1723,
13,
13,
1678,
822,
1243,
29918,
2671,
29918,
15550,
2133,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
10138,
24285,
2940,
3073,
322,
349,
13152,
29902,
3073,
28755,
5149,
1213,
15945,
13,
4706,
1962,
353,
7797,
19427,
29889,
643,
6646,
29898,
13,
9651,
525,
3126,
742,
13,
9651,
10138,
24285,
2940,
3057,
3195,
29889,
12650,
29889,
4572,
29898,
20571,
29922,
29896,
29897,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
7249,
9843,
29898,
13,
9651,
1962,
29892,
13,
9651,
518,
13,
18884,
426,
13,
462,
1678,
376,
9621,
1115,
426,
13,
462,
4706,
376,
2492,
29918,
1853,
1115,
376,
2732,
613,
13,
462,
4706,
376,
407,
7768,
1115,
376,
29900,
29889,
29945,
29916,
29900,
29889,
29945,
613,
13,
462,
4706,
376,
2103,
1115,
29871,
29953,
29900,
29896,
29892,
13,
462,
4706,
376,
3545,
1115,
29871,
29906,
29900,
29941,
29892,
13,
462,
4706,
376,
3027,
1115,
376,
4691,
29899,
14569,
29889,
2732,
613,
13,
462,
4706,
376,
25253,
29918,
3027,
29918,
29941,
1115,
12633,
13,
462,
4706,
376,
25253,
29918,
3027,
29918,
29906,
1115,
12633,
13,
462,
4706,
376,
25253,
29918,
3027,
1115,
376,
4691,
29899,
14569,
29889,
6173,
29908,
13,
462,
1678,
2981,
13,
462,
1678,
376,
4299,
1115,
376,
21150,
29889,
874,
24285,
326,
26084,
342,
4299,
613,
13,
462,
1678,
376,
20571,
1115,
29871,
29896,
13,
18884,
500,
13,
9651,
4514,
13,
4706,
1723,
13,
13,
1678,
822,
1243,
29918,
9917,
29918,
689,
29918,
1272,
29898,
1311,
1125,
13,
4706,
9995,
29923,
1983,
545,
1959,
848,
14423,
1156,
883,
8845,
4436,
1213,
15945,
13,
4706,
2933,
353,
1583,
29889,
4645,
29889,
2490,
29898,
13,
9651,
11033,
16173,
29918,
4219,
29892,
13,
9651,
426,
13,
18884,
525,
12403,
29918,
726,
29918,
2671,
2396,
6629,
13,
9651,
2981,
13,
9651,
1101,
29922,
5574,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
9843,
29898,
5327,
29889,
4882,
29918,
401,
29892,
29871,
29906,
29900,
29900,
29897,
13,
4706,
565,
4832,
29889,
20055,
29906,
29901,
13,
9651,
2933,
29918,
3051,
353,
851,
29898,
5327,
29889,
3051,
29897,
13,
4706,
1683,
29901,
13,
9651,
2933,
29918,
3051,
353,
851,
29898,
5327,
29889,
3051,
29892,
8025,
2433,
9420,
29899,
29947,
1495,
13,
4706,
1583,
29889,
9294,
797,
7020,
29898,
13,
9651,
313,
13,
18884,
12801,
2492,
4765,
13802,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
4691,
29899,
14569,
29899,
386,
21145,
29899,
29941,
29900,
29900,
29916,
29941,
29900,
29900,
6169,
13,
18884,
525,
2732,
29908,
1178,
543,
3027,
29918,
29900,
29918,
3027,
25347,
29908,
848,
29899,
10892,
29918,
2671,
29918,
333,
2433,
13,
18884,
18793,
333,
29918,
3027,
29918,
29896,
29908,
848,
29899,
3149,
29918,
19190,
29918,
333,
543,
3027,
29918,
29900,
29918,
3149,
29899,
19190,
29908,
525,
13,
18884,
525,
1272,
29899,
407,
7768,
29918,
333,
543,
3027,
29918,
29900,
29918,
407,
7768,
29908,
770,
543,
29879,
1891,
3027,
29899,
25347,
4681,
29915,
13,
9651,
10353,
13,
9651,
2933,
29918,
3051,
13,
4706,
1723,
13,
13,
1678,
822,
1243,
29918,
513,
23352,
29918,
28759,
654,
29918,
8173,
29918,
8551,
29898,
1311,
1125,
13,
4706,
9995,
3057,
393,
10138,
24285,
2940,
3073,
508,
2821,
5375,
7090,
9976,
1213,
15945,
13,
4706,
3806,
29918,
3027,
29918,
2271,
353,
313,
13,
9651,
8207,
9799,
29914,
1649,
29879,
1891,
1649,
29914,
8143,
29899,
1688,
29914,
4691,
29899,
14569,
29899,
8143,
29899,
1688,
29899,
386,
21145,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29899,
29955,
29900,
29889,
6173,
29915,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
9843,
29898,
13,
9651,
7090,
29889,
657,
29898,
9684,
29918,
3027,
29918,
2271,
511,
13,
9651,
6213,
13,
4706,
1723,
13,
4706,
10153,
353,
1583,
29889,
8143,
29918,
1688,
13,
4706,
10153,
29889,
3027,
29889,
3258,
29918,
265,
29918,
2310,
392,
353,
5852,
13,
4706,
10153,
29918,
2271,
353,
10153,
29889,
3027,
29889,
386,
21145,
1839,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
13359,
2271,
13,
4706,
628,
10153,
29918,
2271,
13,
4706,
1583,
29889,
9294,
9843,
29898,
13,
9651,
7090,
29889,
657,
29898,
9684,
29918,
3027,
29918,
2271,
511,
13,
632,
29896,
13,
4706,
1723,
13,
4706,
10153,
29889,
3027,
29889,
386,
21145,
1839,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
13359,
8143,
580,
13,
4706,
1583,
29889,
9294,
9843,
29898,
13,
9651,
7090,
29889,
657,
29898,
9684,
29918,
3027,
29918,
2271,
511,
13,
9651,
6213,
13,
4706,
1723,
13,
4706,
1583,
29889,
9294,
8824,
29898,
13,
9651,
10153,
29889,
3027,
29889,
2671,
29889,
12925,
29889,
9933,
29898,
13,
18884,
525,
1649,
29879,
1891,
1649,
29914,
8143,
29899,
1688,
29914,
4691,
29899,
14569,
29899,
8143,
29899,
1688,
29899,
386,
21145,
29899,
29896,
29900,
29900,
29916,
29896,
29900,
29900,
29899,
29955,
29900,
29889,
6173,
29915,
13,
9651,
1723,
13,
4706,
1723,
13,
13,
1678,
822,
1243,
29918,
28759,
654,
29918,
8143,
29898,
1311,
1125,
13,
4706,
9995,
3057,
7697,
654,
7374,
291,
1213,
15945,
13,
4706,
10153,
353,
1583,
29889,
8143,
29918,
1688,
13,
4706,
1583,
29889,
9294,
8824,
29898,
13,
9651,
10153,
29889,
3027,
29889,
2671,
29889,
12925,
29889,
9933,
29898,
13,
18884,
525,
1649,
29879,
1891,
1649,
29914,
8143,
29899,
1688,
29914,
4691,
29899,
14569,
29899,
8143,
29899,
1688,
29899,
386,
21145,
29899,
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BitTornado/ConnChoice.py | weedy/BitTornado | 0 | 80142 | <filename>BitTornado/ConnChoice.py
connChoices = (
{'name': 'automatic',
'rate': {'min': 0, 'max': 5000, 'def': 0},
'conn': {'min': 0, 'max': 100, 'def': 0},
'automatic': 1},
{'name': 'unlimited',
'rate': {'min': 0, 'max': 5000, 'def': 0, 'div': 50},
'conn': {'min': 4, 'max': 100, 'def': 4}},
{'name': 'dialup/isdn',
'rate': {'min': 3, 'max': 8, 'def': 5},
'conn': {'min': 2, 'max': 3, 'def': 2},
'initiate': 12},
{'name': 'dsl/cable slow',
'rate': {'min': 10, 'max': 48, 'def': 13},
'conn': {'min': 4, 'max': 20, 'def': 4}},
{'name': 'dsl/cable fast',
'rate': {'min': 20, 'max': 100, 'def': 40},
'conn': {'min': 4, 'max': 30, 'def': 6}},
{'name': 'T1',
'rate': {'min': 100, 'max': 300, 'def': 150},
'conn': {'min': 4, 'max': 40, 'def': 10}},
{'name': 'T3+',
'rate': {'min': 400, 'max': 2000, 'def': 500},
'conn': {'min': 4, 'max': 100, 'def': 20}},
{'name': 'seeder',
'rate': {'min': 0, 'max': 5000, 'def': 0, 'div': 50},
'conn': {'min': 1, 'max': 100, 'def': 1}},
{'name': 'SUPER-SEED', 'super-seed': 1}
)
connChoiceList = map(lambda x: x['name'], connChoices)
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opwen_email_server/constants/sync.py | kulado/mailserver | 15 | 148628 | from typing_extensions import Final # noqa: F401
EMAILS_FILE = 'emails.jsonl' # type: Final
USERS_FILE = 'zzusers.jsonl' # type: Final
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api/routes/upload/input.py | atsuchiy11/api-fastapi-video | 0 | 139114 | from boto3.dynamodb.conditions import Key, Attr
from api.util import get_today_string
def query():
"""input get upload status from DynamoDB"""
return dict(
IndexName="GSI-1-SK",
KeyConditionExpression=Key("indexKey").eq("Status"),
# FilterExpression=Attr("SK").begins_with("2021-12-16"),
FilterExpression=Attr("SK").begins_with(get_today_string()),
ScanIndexForward=False,
)
def put_item(status, created_at):
"""input post upload status to DynamoDB"""
# なんでidがuriなのか。。
return dict(
id=status.uri,
PK=status.uri,
SK=created_at,
indexKey="Status",
name=status.name,
filename=status.filename,
createdAt=created_at,
createdUser=status.user,
status=status.status,
)
def update_item(status):
"""input put upload status to DynamoDB"""
return dict(
Key={"PK": status.uri, "SK": status.timestamp},
UpdateExpression="SET #status=:status",
# status is reserved
ExpressionAttributeNames={"#status": "status"},
ExpressionAttributeValues={":status": status.status},
)
# {
# "uri": "string",
# "timestamp": "2021-12-17 11:46:39",
# "status": "アップロード中"
# }
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image-editor/data_editor/image/image_view.py | flegac/deep-experiments | 0 | 43012 | <reponame>flegac/deep-experiments
import tkinter as tk
import rx.operators as ops
from PIL import ImageTk, Image
from rx.subject import Subject
from data_editor.image.view_controller import ViewController
from data_toolbox.data.data_source import DataSource
from data_toolbox.image.buffer_factory import ImageFactory
class ImageView(tk.Frame):
MAX_REDRAW_PER_SEC = 1000
def __init__(self, master: tk.Widget, width: int = 600, height: int = 400):
tk.Frame.__init__(self, master)
self._source_change_bus = Subject()
self._source_change_bus.pipe(
ops.throttle_first(1. / ImageView.MAX_REDRAW_PER_SEC),
# ops.debounce(1. / ImageView.MAX_REDRAW_PER_SEC),
).subscribe(on_next=lambda _: self._redraw(_))
# canvas creation
self.canvas = tk.Canvas(self, width=width, height=height)
self.canvas.pack(expand=True, fill="both")
# image
self.data = None
self.image_id = None
self.viewport_controller = ViewController(self.canvas, self.set_source)
# Bind events to the Canvas
self.canvas.bind('<Configure>', lambda _: self._redraw(None))
for k, v in self.viewport_controller.bindings().items():
self.canvas.bind(k, v)
def mouse_image_coords(self):
return self.viewport_controller.mouse_image_coords()
def reset_viewport(self):
self.viewport_controller.viewport.zoom_factor = 0
self.viewport_controller.viewport.x = 0
self.viewport_controller.viewport.y = 0
def set_source(self, source: DataSource = None):
self._source_change_bus.on_next(source)
def _redraw(self, source: DataSource = None):
if source is not None:
self.data = source.get_data()
if self.image_id:
self.canvas.delete(self.image_id)
if self.data is None:
return
data = self.viewport_controller.viewport.apply(self.data)
self.canvas.image = ImageTk.PhotoImage(image=Image.fromarray(data))
self.image_id = self.canvas.create_image((0, 0), anchor=tk.NW, image=self.canvas.image)
self.canvas.lower(self.image_id) # set it into background
if __name__ == '__main__':
root = tk.Tk()
editor = ImageView(root)
editor.set_source(ImageFactory.random)
editor.pack(fill='both', expand=True)
root.mainloop()
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tests/master/test_master.py | bk-mtg/piwheels | 0 | 12606 | <reponame>bk-mtg/piwheels
# The piwheels project
# Copyright (c) 2017 <NAME> <https://github.com/bennuttall>
# Copyright (c) 2017 <NAME> <<EMAIL>>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of the copyright holder nor the
# names of its contributors may be used to endorse or promote products
# derived from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
import os
from unittest import mock
from threading import Thread
import pytest
from conftest import find_message
from piwheels import __version__, protocols, transport
from piwheels.master import main, const
@pytest.fixture()
def mock_pypi(request):
with mock.patch('xmlrpc.client.ServerProxy') as proxy:
proxy().changelog_since_serial.return_value = []
yield proxy
@pytest.fixture()
def mock_signal(request):
with mock.patch('signal.signal') as signal:
yield signal
@pytest.fixture()
def mock_context(request, zmq_context):
with mock.patch('piwheels.transport.Context') as ctx_mock:
# Pass thru calls to Context.socket, but ignore everything else (in
# particular, destroy and term calls as we want the testing context to
# stick around)
ctx_mock().socket.side_effect = zmq_context.socket
yield ctx_mock
@pytest.fixture()
def master_thread(request, mock_pypi, mock_context, mock_systemd, mock_signal,
tmpdir, db_url, db, with_schema):
main_thread = None
def _master_thread(args=None):
nonlocal main_thread
if args is None:
args = []
main_thread = Thread(daemon=True, target=main, args=([
'--dsn', db_url,
'--output-path', str(tmpdir.join('output')),
'--status-queue', 'ipc://' + str(tmpdir.join('status-queue')),
'--control-queue', 'ipc://' + str(tmpdir.join('control-queue')),
'--slave-queue', 'ipc://' + str(tmpdir.join('slave-queue')),
'--file-queue', 'ipc://' + str(tmpdir.join('file-queue')),
'--import-queue', 'ipc://' + str(tmpdir.join('import-queue')),
'--log-queue', 'ipc://' + str(tmpdir.join('log-queue')),
] + list(args),))
return main_thread
yield _master_thread
if main_thread is not None and main_thread.is_alive():
with mock_context().socket(
transport.PUSH, protocol=reversed(protocols.master_control)) as control:
control.connect('ipc://' + str(tmpdir.join('control-queue')))
control.send_msg('QUIT')
main_thread.join(10)
assert not main_thread.is_alive()
@pytest.fixture()
def master_control(request, tmpdir, mock_context):
control = mock_context().socket(
transport.PUSH, protocol=reversed(protocols.master_control))
control.connect('ipc://' + str(tmpdir.join('control-queue')))
yield control
control.close()
def test_help(capsys):
with pytest.raises(SystemExit):
main(['--help'])
out, err = capsys.readouterr()
assert out.startswith('usage:')
assert '--pypi-xmlrpc' in out
def test_version(capsys):
with pytest.raises(SystemExit):
main(['--version'])
out, err = capsys.readouterr()
assert out.strip() == __version__
def test_no_root(caplog):
with mock.patch('os.geteuid') as geteuid:
geteuid.return_value = 0
assert main([]) != 0
assert find_message(caplog.records,
message='Master must not be run as root')
def test_quit_control(mock_systemd, master_thread, master_control):
thread = master_thread()
thread.start()
assert mock_systemd._ready.wait(10)
master_control.send_msg('QUIT')
thread.join(10)
assert not thread.is_alive()
def test_system_exit(mock_systemd, master_thread, caplog):
with mock.patch('piwheels.master.PiWheelsMaster.main_loop') as main_loop:
main_loop.side_effect = SystemExit(1)
thread = master_thread()
thread.start()
assert mock_systemd._ready.wait(10)
thread.join(10)
assert not thread.is_alive()
assert find_message(caplog.records, message='shutting down on SIGTERM')
def test_system_ctrl_c(mock_systemd, master_thread, caplog):
with mock.patch('piwheels.master.PiWheelsMaster.main_loop') as main_loop:
main_loop.side_effect = KeyboardInterrupt()
thread = master_thread()
thread.start()
assert mock_systemd._ready.wait(10)
thread.join(10)
assert not thread.is_alive()
assert find_message(caplog.records, message='shutting down on Ctrl+C')
def test_bad_control(mock_systemd, master_thread, master_control, caplog):
thread = master_thread()
thread.start()
assert mock_systemd._ready.wait(10)
master_control.send(b'FOO')
master_control.send_msg('QUIT')
thread.join(10)
assert not thread.is_alive()
assert find_message(caplog.records, message='unable to deserialize data')
def test_status_passthru(tmpdir, mock_context, mock_systemd, master_thread):
with mock_context().socket(transport.PUSH, protocol=protocols.monitor_stats) as int_status, \
mock_context().socket(transport.SUB, protocol=reversed(protocols.monitor_stats)) as ext_status:
ext_status.connect('ipc://' + str(tmpdir.join('status-queue')))
ext_status.subscribe('')
thread = master_thread()
thread.start()
assert mock_systemd._ready.wait(10)
# Wait for the first statistics message (from BigBrother) to get the
# SUB queue working
msg, data = ext_status.recv_msg()
assert msg == 'STATS'
data['builds_count'] = 12345
int_status.connect(const.INT_STATUS_QUEUE)
int_status.send_msg('STATS', data)
# Try several times to read the passed-thru message; other messages
# (like stats from BigBrother) will be sent to ext-status too
for i in range(3):
msg, copy = ext_status.recv_msg()
if msg == 'STATS':
assert copy == data
break
else:
assert False, "Didn't see modified STATS passed-thru"
def test_kill_control(mock_systemd, master_thread, master_control):
with mock.patch('piwheels.master.SlaveDriver.kill_slave') as kill_slave:
thread = master_thread()
thread.start()
assert mock_systemd._ready.wait(10)
master_control.send_msg('KILL', 1)
master_control.send_msg('QUIT')
thread.join(10)
assert not thread.is_alive()
assert kill_slave.call_args == mock.call(1)
def test_pause_resume(mock_systemd, master_thread, master_control, caplog):
thread = master_thread()
thread.start()
assert mock_systemd._ready.wait(10)
master_control.send_msg('PAUSE')
master_control.send_msg('RESUME')
master_control.send_msg('QUIT')
thread.join(10)
assert not thread.is_alive()
assert find_message(caplog.records, message='pausing operations')
assert find_message(caplog.records, message='resuming operations')
def test_new_monitor(mock_systemd, master_thread, master_control, caplog):
with mock.patch('piwheels.master.SlaveDriver.list_slaves') as list_slaves:
thread = master_thread()
thread.start()
assert mock_systemd._ready.wait(10)
master_control.send_msg('HELLO')
master_control.send_msg('QUIT')
thread.join(10)
assert not thread.is_alive()
assert find_message(caplog.records,
message='sending status to new monitor')
assert list_slaves.call_args == mock.call()
def test_debug(mock_systemd, master_thread, master_control, caplog):
thread = master_thread(args=['--debug', 'master.the_scribe',
'--debug', 'master.the_architect'])
thread.start()
assert mock_systemd._ready.wait(10)
master_control.send_msg('QUIT')
thread.join(10)
assert not thread.is_alive()
assert find_message(caplog.records, name='master.the_scribe',
levelname='DEBUG', message='<< QUIT None')
assert find_message(caplog.records, name='master.the_architect',
levelname='DEBUG', message='<< QUIT None')
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main.py | i-m-pulse/export-google-drive-files | 0 | 74146 | <reponame>i-m-pulse/export-google-drive-files<filename>main.py
from gdrive import gdrive
from config import Config
#Instantiate an object
foo = gdrive(Config)
## Authenticating
# Get inital code to access token
code = foo.getCode()
#Access the access_token and refresh_token
foo.writeToken(code)
# Get fileid for your file
src_filename = 'your Google Drive filename Google Spreadsheet'
file_id = foo.getFileId(src_filename)
# Download the file to your local folder
dst_filename = 'test.csv'
dst_mimetype = 'text/csv'
foo.downloadFile(file_id, dst_mimetype, dst_filename)
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backend/kesaseteli/applications/services.py | iivoraitahila/yjdh | 0 | 138733 | <reponame>iivoraitahila/yjdh<gh_stars>0
from applications.models import Application, SummerVoucher
def update_summer_vouchers_using_api_data(
summer_vouchers_data: list, instance: Application
) -> None:
existing_summer_voucher_ids = []
for summer_voucher_data in summer_vouchers_data:
summer_voucher_id = summer_voucher_data.pop("id", None)
if summer_voucher_id:
# Update all SummerVouchers that had a provided id
SummerVoucher.objects.filter(id=summer_voucher_id).update(
**summer_voucher_data
)
else:
# Create new SummerVouchers that did not provide an id
summer_voucher = SummerVoucher.objects.create(
application=instance, **summer_voucher_data
)
summer_voucher_id = summer_voucher.id
existing_summer_voucher_ids.append(summer_voucher_id)
# Delete all SummerVouchers that were not part of the provided ids
SummerVoucher.objects.filter(application=instance).exclude(
id__in=existing_summer_voucher_ids
).delete()
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] |
latex/parser.py | omnidan/python-latex | 7 | 103724 | <reponame>omnidan/python-latex
from __future__ import print_function
__author__ = '<NAME>'
__copyright__ = "Copyright 2013, <NAME>"
__credits__ = ["<NAME>"]
__license__ = "BSD"
__version__ = "0.1.0"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
__status__ = "Prototype"
from .document import LatexDocument
from .lines import LatexCommand, LatexText, LatexComment, LatexMacro, LatexEnvironmentMacro
from .environment import LatexEnvironment
import re
class LatexParser:
def __parseDocument(self, tex):
""" Parse a latex document and return the header and content buffer in a tuple """
header_buffer = [] # buffer for the header lines
content_buffer = [] # buffer for the content lines
header = True # are we still parsing the header?
# run through all lines
for line in [line for line in tex.split('\n') if True]:
# document started, that means we are no longer in the header
if "\\begin{document}" in line:
header = False
elif "\\end{document}" in line:
header = True
else:
if header:
header_buffer.append(line)
else:
content_buffer.append(line)
return header_buffer, content_buffer
# noinspection PyUnusedLocal
def __matchTeXMacro(self, line, prefix="", suffix=""):
""" Some regex magic to parse TeX macros """
# TODO: macros can occupy multiple lines, add support for this
cmd = None
opt = None
argc = None
p = re.match(r'\\newcommand\{(.*)}\[(.*)]\{(.*)}', line, re.M | re.I)
if p is None:
# match without additional [] arguments
p = re.match(r'\\newcommand\{(.*)}\{(.*)}', line, re.M | re.I)
if p is None:
# invalid macro
return False
else:
cmd = p.group(1)
opt = p.group(2)
else:
cmd = p.group(1)
try:
argc = int(p.group(2))
except ValueError:
return False
opt = p.group(3)
if cmd is None:
# couldn't parse, invalid latex macro
return False
elif opt is None:
# couldn't parse, invalid latex macro
return False
else:
# regex is a finite state machine, it can't match nested commands
# TODO: rewrite this to work for macros
if "{" in cmd:
real_cmd = cmd.split("{")
cmd = real_cmd[0]
opt = "{".join(real_cmd[1:]) + "{" + opt
cmd = cmd.replace(" ", "") # remove whitespace from the command
if cmd[-1] == "*":
cmd = ''.join(cmd[:-1])
asterisk = True
else:
asterisk = False
if not argc:
argc = 0
return LatexMacro(cmd, opt, argc, prefix, suffix)
# noinspection PyUnusedLocal
def __matchTeXEnvironmentMacro(self, line, prefix="", suffix=""):
""" Some regex magic to parse TeX macros """
# TODO: macros can occupy multiple lines, add support for this
cmd = None
opt = None
argc = None
adopt = None
p = re.match(r'\\newenvironment\{(.*)}\[(.*)]\{(.*)}\{(.*)}', line, re.M | re.I)
if p is None:
# match without additional [] arguments
p = re.match(r'\\newenvironment\{(.*)}\{(.*)}\{(.*)}', line, re.M | re.I)
if p is None:
# invalid macro
return False
else:
cmd = p.group(1)
opt = p.group(2)
adopt = p.group(3)
else:
cmd = p.group(1)
try:
argc = int(p.group(2))
except ValueError:
return False
opt = p.group(3)
adopt = p.group(4)
if cmd is None:
# couldn't parse, invalid latex macro
return False
elif opt is None:
# couldn't parse, invalid latex macro
return False
elif adopt is None:
# couldn't parse, invalid latex macro
return False
else:
# regex is a finite state machine, it can't match nested commands
# TODO: rewrite this to work for macros
if "{" in cmd:
real_cmd = cmd.split("{")
cmd = real_cmd[0]
opt = "{".join(real_cmd[1:]) + "{" + opt
cmd = cmd.replace(" ", "") # remove whitespace from the command
if cmd[-1] == "*":
cmd = ''.join(cmd[:-1])
asterisk = True
else:
asterisk = False
if not argc:
argc = 0
return LatexEnvironmentMacro(cmd, opt, adopt, argc, prefix, suffix)
# noinspection PyUnusedLocal
def __matchTeX(self, line, prefix="", suffix=""):
""" Some regex magic to parse TeX commands """
cmd = None
opt = None
adopt = None
# TODO: add support for multiple arguments
p = re.match(r'\\(.*)\[(.*)\]\{(.*)}', line, re.M | re.I)
if p is None:
# match without additional [] arguments
p = re.match(r'\\(.*)\{(.*)}', line, re.M | re.I)
if p is None:
# match without any arguments
p = re.match(r'\\(.*)', line, re.M | re.I)
cmd = p.group(1)
else:
cmd = p.group(1)
opt = p.group(2)
else:
cmd = p.group(1)
adopt = p.group(2)
opt = p.group(3)
if cmd is None:
# couldn't parse, invalid latex command
return False
else:
# regex is a finite state machine, it can't match nested commands
if "{" in cmd:
real_cmd = cmd.split("{")
cmd = real_cmd[0]
opt = "{".join(real_cmd[1:]) + "{" + opt
cmd = cmd.replace(" ", "") # remove whitespace from the command
if cmd[-1] == "*":
cmd = ''.join(cmd[:-1])
asterisk = True
else:
asterisk = False
return LatexCommand(cmd, opt, adopt, asterisk, prefix, suffix)
def appendline(self, line):
if self.__current_environment:
self.__current_environment.addLine(line)
else:
self.__parse_buffer.append(line)
def __parse(self, tex, keep_empty_lines=False, do_not_concat_text=False):
self.__parse_buffer = []
for line in tex:
# firstly, strip the line to remove whitespace
nonstripped = line
line = line.strip()
if nonstripped == line or line == "":
prefix = ""
suffix = ""
else:
prefix, suffix = nonstripped.split(line)
# check if the line is empty
if line == "":
if keep_empty_lines:
self.appendline(LatexText(nonstripped))
self.__last_line = self.__parse_buffer[-1]
else:
# now check if command, comment or text
if line[0] == '\\':
# this is a latex command, parse it as such
latex_command = self.__matchTeX(line, prefix, suffix)
if latex_command is False:
import sys
print("WARNING: Couldn't parse LaTeX command: " + line, file=sys.stderr)
else:
if latex_command.command_name == "newcommand":
# this is a LatexMacro, not a LatexCommand
latex_macro = self.__matchTeXMacro(line, prefix, suffix)
self.appendline(latex_macro)
elif latex_command.command_name == "newenvironment":
# this is a LatexEnvironmentMacro, not a LatexCommand
latex_macro = self.__matchTeXEnvironmentMacro(line, prefix, suffix)
self.appendline(latex_macro)
elif latex_command.command_name == "begin":
# this is a LatexEnvironment, not a LatexCommand
latex_environment = LatexEnvironment(latex_command.command_options)
self.appendline(latex_environment)
self.__current_environment = self.__parse_buffer[-1]
elif latex_command.command_name == "end":
# this is the end of a LatexEnvironment, not a LatexCommand
# TODO: environments inside environments do not work yet
self.__current_environment = None
else:
latex_command.parseOptions()
self.appendline(latex_command)
elif line[0] == "%":
# remove first character from line and create the LatexComment object
comment = "".join(line[1:]).strip()
if not do_not_concat_text and isinstance(self.__last_line, LatexComment):
# last line was a LatexComment too, append to this object
self.__last_line.append(comment)
else:
# create new LatexComment object
self.appendline(LatexComment(comment, self.__ld.comment_prefix,
self.__ld.comment_append_prefix,
self.__ld.comment_append_suffix,
prefix=prefix, suffix=suffix))
else:
# this is a normal text line
if not do_not_concat_text and isinstance(self.__last_line, LatexText):
# last line was a LatexText too, append to this object
self.__last_line.append(line)
else:
# create new LatexText object
self.appendline(LatexText(line, self.__ld.text_append_prefix, self.__ld.text_append_suffix,
prefix=prefix, suffix=suffix))
self.__last_line = self.__parse_buffer[-1]
return self.__parse_buffer
def getResult(self):
return self.__ld
def __init__(self, tex, obj=None, keep_empty_lines=False, do_not_concat_text=False):
# init last_line variable
self.__last_line = None
self.__current_environment = None
self.__parse_buffer = []
# parse document into header and content buffer
header, content = self.__parseDocument(tex)
# parse buffers into objects
if obj is None:
obj = LatexDocument()
self.__ld = obj
self.__ld.setHeader(self.__parse(header, keep_empty_lines, do_not_concat_text))
self.__ld.setContent(self.__parse(content, keep_empty_lines, do_not_concat_text)) | [
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skills/alexa_handler/connector.py | oserikov/dream | 34 | 125434 | <gh_stars>10-100
#!/usr/bin/env python
import time
import asyncio
import logging
from typing import Callable, Dict
import sentry_sdk
from os import getenv
logging.basicConfig(format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", level=logging.INFO)
logger = logging.getLogger(__name__)
sentry_sdk.init(getenv("SENTRY_DSN"))
class AlexaHandlerConnector:
async def send(self, payload: Dict, callback: Callable):
try:
st_time = time.time()
text = payload["payload"]["sentences"][0]
assert "/alexa_" in text
cands = ["alexa handler: command logged"]
confs = [1.0]
attrs = [{}]
total_time = time.time() - st_time
logger.info(f"alexa_handler_skill exec time: {total_time:.3f}s")
asyncio.create_task(callback(task_id=payload["task_id"], response=[cands, confs, attrs]))
except Exception as e:
logger.exception(e)
sentry_sdk.capture_exception(e)
asyncio.create_task(callback(task_id=payload["task_id"], response=e))
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experiment/exp/00_data_traversal/run.py | neonkitchen/disent | 0 | 79927 | <filename>experiment/exp/00_data_traversal/run.py<gh_stars>0
# ~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~
# MIT License
#
# Copyright (c) 2021 <NAME>
#
# 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 os
from typing import Union
import numpy as np
from matplotlib import pyplot as plt
import experiment.exp.util as H
from disent.data.groundtruth import Cars3dData
from disent.data.groundtruth import DSpritesData
from disent.data.groundtruth import GroundTruthData
from disent.data.groundtruth import Shapes3dData
from disent.data.groundtruth import SmallNorbData
from disent.data.groundtruth import XYSquaresData
from disent.dataset.groundtruth import GroundTruthDataset
from disent.util import TempNumpySeed
# ========================================================================= #
# core #
# ========================================================================= #
def plot_dataset_traversals(
gt_data: Union[GroundTruthData, GroundTruthDataset],
f_idxs=None,
num_cols=8,
base_factors=None,
add_random_traversal=True,
pad=8,
bg_color=127,
border=False,
rel_path=None,
save=True,
seed=777,
plt_scale=4.5,
offset=0.75
):
if not isinstance(gt_data, GroundTruthDataset):
gt_data = GroundTruthDataset(gt_data)
f_idxs = H.get_factor_idxs(gt_data, f_idxs)
# get traversal grid
row_labels = [gt_data.factor_names[i] for i in f_idxs]
grid = H.dataset_traversal_tasks(
gt_data=gt_data,
tasks='grid',
data_mode='raw',
factor_names=f_idxs,
num=num_cols,
seed=seed,
base_factors=base_factors,
traverse_mode='interval',
pad=pad,
bg_color=bg_color,
border=border,
)
# add random traversal
if add_random_traversal:
with TempNumpySeed(seed):
row_labels = ['random'] + row_labels
grid = np.concatenate([
gt_data.dataset_sample_batch(num_samples=num_cols, mode='raw')[None, ...],
grid
])
# add missing channel
if grid.ndim == 4:
grid = grid[..., None].repeat(3, axis=-1)
assert grid.ndim == 5
# make figure
h, w, _, _, c = grid.shape
assert c == 3
fig, axs = H.plt_subplots_imshow(grid, row_labels=row_labels, subplot_padding=0.5, figsize=(offset + (1/2.54)*w*plt_scale, (1/2.54)*h*plt_scale))
# save figure
if save and (rel_path is not None):
plt.savefig(H.make_rel_path_add_ext(rel_path, ext='.png'))
plt.show()
# done!
return fig, axs
# ========================================================================= #
# entrypoint #
# ========================================================================= #
if __name__ == '__main__':
# matplotlib style
plt.style.use(os.path.join(os.path.dirname(__file__), '../gadfly.mplstyle'))
# options
all_squares = True
add_random_traversal = True
num_cols = 7
# save image
for i in ([1, 2, 3, 4, 5, 6, 7, 8] if all_squares else [1, 8]):
plot_dataset_traversals(
XYSquaresData(grid_spacing=i, max_placements=8, no_warnings=True),
rel_path=f'plots/xy-squares-traversal-spacing{i}',
seed=7, add_random_traversal=add_random_traversal, num_cols=num_cols
)
plot_dataset_traversals(
Shapes3dData(),
rel_path=f'plots/shapes3d-traversal',
seed=47, add_random_traversal=add_random_traversal, num_cols=num_cols
)
plot_dataset_traversals(
DSpritesData(),
rel_path=f'plots/dsprites-traversal',
seed=47, add_random_traversal=add_random_traversal, num_cols=num_cols
)
plot_dataset_traversals(
SmallNorbData(),
rel_path=f'plots/smallnorb-traversal',
seed=47, add_random_traversal=add_random_traversal, num_cols=num_cols
)
plot_dataset_traversals(
Cars3dData(),
rel_path=f'plots/cars3d-traversal',
seed=47, add_random_traversal=add_random_traversal, num_cols=num_cols
)
# ========================================================================= #
# END #
# ========================================================================= #
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docs/podstawy/przyklady/ocenyfun.py | damiankarol7/python101 | 44 | 26441 | <filename>docs/podstawy/przyklady/ocenyfun.py
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Moduł ocenyfun zawiera funkcje wykorzystywane w pliku 05_oceny_03.py
"""
import math # zaimportuj moduł matematyczny
def drukuj(co, kom="Sekwencja zawiera: "):
print(kom)
for i in co:
print(i, end=" ")
def srednia(oceny):
suma = sum(oceny)
return suma / float(len(oceny))
def mediana(oceny):
"""
Jeżeli ilość ocen jest parzysta, medianą jest średnia arytmetyczna
dwóch środkowych ocen. Jesli ilość jest nieparzysta mediana równa
się elementowi środkowemu ouporządkowanej rosnąco listy ocen.
"""
oceny.sort()
if len(oceny) % 2 == 0: # parzysta ilość ocen
half = int(len(oceny) / 2)
# można tak:
# return float(oceny[half-1]+oceny[half]) / 2.0
# albo tak:
return float(sum(oceny[half - 1:half + 1])) / 2.0
else: # nieparzysta ilość ocen
return oceny[len(oceny) / 2]
def wariancja(oceny, srednia):
"""
Wariancja to suma kwadratów różnicy każdej oceny i średniej
podzielona przez ilość ocen:
sigma = (o1-s)+(o2-s)+...+(on-s) / n, gdzie:
o1, o2, ..., on - kolejne oceny,
s - średnia ocen,
n - liczba ocen.
"""
sigma = 0.0
for ocena in oceny:
sigma += (ocena - srednia)**2
return sigma / len(oceny)
def odchylenie(oceny, srednia): # pierwiastek kwadratowy z wariancji
w = wariancja(oceny, srednia)
return math.sqrt(w)
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old/unitesting.py | jverbraeken/dtw-test | 0 | 92946 | <filename>old/unitesting.py
#! /usr/bin/env python
import sys
sys.path.append("..")
sys.path.append(".")
import time
import dtw
from data.syntheticdata import *
ok = True
print "Please wait a few minutes..."
n=10
querydataset = [randomwalk(n) for i in range(100)]
trainingdataset = [randomwalk(n) for i in range(1000)]
reducdim = 10
for reducdim in [10,5]:
for c in [0,1,2]:
rtree=dtw.TimeSeriesTree("mytmpfile.bin",c,reducdim)
for x in trainingdataset:
rtree.add(x)
for i in range(len(trainingdataset)):
readcopy = rtree.readTimeSeries(i)
for j in range(n):
if(abs(readcopy[j]-trainingdataset[i][j])>0.00001):
print "possible bug!"
break
for x in querydataset:
treesolution = rtree.getNearestNeighborCost(x,rtree.NAIVE)
golden = dtw.LB_Keogh(x,c)
golden2 = dtw.LB_Improved(x,c)
golden3 = dtw.DimReducedLB_Keogh(x,c,reducdim)
for z in trainingdataset:
golden.test(z)
golden2.test(z)
golden3.test(z)
if((treesolution <> golden.getLowestCost()) or (treesolution <> golden2.getLowestCost()) or (treesolution <> golden3.getLowestCost())) :
print treesolution, golden.getLowestCost(),golden2.getLowestCost(),golden3.getLowestCost()
print "BUG!!!"
ok = False
break
rtree.close()
rtree=dtw.TimeSeriesTree("mytmpfile.bin")
for x in trainingdataset:
rtree.add(x)
for i in range(len(trainingdataset)):
readcopy = rtree.readTimeSeries(i)
for j in range(n):
if(abs(readcopy[j]-trainingdataset[i][j])>0.00001):
print "possible bug!"
break
rtree.close()
for c in [0,1,2]:
print c
lb1 = [dtw.LB_Keogh(x,c) for x in querydataset]
lb2 = [dtw.LB_Improved(x,c) for x in querydataset]
for x in trainingdataset:
for i in range(len(lb1)):
lb1[i].test(x)
lb2[i].test(x)
if(lb1[i].getLowestCost()<>lb2[i].getLowestCost()):
print "Possible BUG = ", lb1[i].getLowestCost(),lb2[i].getLowestCost()
ok = False
break
if(ok):
print "your code checks out"
else:
print "you appear to have a bug" | [
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bili_kits/api/user.py | LonelySteve/Bili-Kits | 0 | 49295 | <gh_stars>0
from . import _BASE_WEB_INTERFACE,_BASE_API_BILIBILI_COM_X,_BASE_API_BILIBILI_COM,_BASE_API_BILIBILI_COM_X_V2
CARD="%s/card" % _BASE_WEB_INTERFACE
NAV="%s/nav" % _BASE_WEB_INTERFACE
RELATION_STAT="%s/relation/stat" % _BASE_API_BILIBILI_COM_X
FAV_FOLDER="%s/fav/folder" % _BASE_API_BILIBILI_COM_X_V2 | [
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] |
src/perceptron.py | clark3493/machine_learning | 0 | 1604953 | <reponame>clark3493/machine_learning
import numpy as np
class Perceptron(object):
def __init__(self,
eta=0.01,
n_iter=50,
random_state=1):
self.eta = eta
"""
Learning rate (between 0.0 and 1.0)
:type eta: float
"""
self.n_iter = n_iter
"""
Number of passes over the training dataset.
:type n_iter: int
"""
self.random_state = random_state
"""
Random number generator seed for random weight initialization
:type random_state: int
"""
def fit(self, X, y):
"""
Fit training data to target values
:param X: Training vectors with n_samples of n_features
:type X: np.array, shape=[n_samples, n_features]
:param y: Target values
:type y: np.array, shape=[n_samples]
:return: self
:rtype: object
"""
rgen = np.random.RandomState(self.random_state)
self._weights = rgen.normal(loc=0.0, scale=0.01, size=1 + X.shape[1])
self.errors = []
for _ in range(self.n_iter):
errors = 0
for xi, target in zip(X, y):
update = self.eta * (target - self.predict(xi))
self._weights[1:] += update * xi
self._weights[0] += update # bias unit
errors += int(update != 0.0)
self.errors.append(errors)
return self
def net_input(self, X):
"""
Calculate net input
"""
return np.dot(X, self._weights[1:]) + self._weights[0]
def predict(self, X):
"""
Return class label after unit step
"""
return np.where(self.net_input(X) >= 0.0, 1, -1) | [
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lndtap/common/middlewares.py | kgritesh/lightening-tap | 0 | 175908 | # -*- coding: utf-8 -*-
import logging
from lndtap.config import config
from lndtap.lnrpc.client import Client
async def context_middleware(request):
cert = await config.read_lnd_cert()
macaroon = await config.read_macaroon() if config.LND_MACROON_ENABLED else None
request["context"] = {
"config": config,
"lnrpc": Client(config.LND_NODE, cert, macaroon=macaroon),
"logger": logging.getLogger("lndtap.request"),
}
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tests/unit/roottree/data/create_sample_chain.py | shane-breeze/AlphaTwirl | 0 | 125987 | <filename>tests/unit/roottree/data/create_sample_chain.py
#!/usr/bin/env python
# <NAME> <<EMAIL>>
import array
import ROOT
##__________________________________________________________________||
def main():
file_name = 'sample_chain_01.root'
content_list = [
[10, 20, 30],
[24, 5]
]
create_file(file_name, content_list)
file_name = 'sample_chain_02.root'
content_list = [
[3, 10],
[5, 8, 32, 15, 2],
[22, 11],
]
create_file(file_name, content_list)
file_name = 'sample_chain_03.root'
content_list = [
[2, 7],
[10, 100],
]
create_file(file_name, content_list)
def create_file(name, contents):
f = ROOT.TFile(name, 'recreate')
t = ROOT.TTree('tree', 'sample tree')
max_nvar = 128;
nvar = array.array('i', [0])
var = array.array('i', max_nvar*[0])
t.Branch('nvar', nvar, 'nvar/I')
t.Branch('var', var, 'var[nvar]/I')
for c in contents:
nvar[0] = len(c)
for i, v in enumerate(c):
var[i] = v
t.Fill()
t.Write()
##__________________________________________________________________||
if __name__ == '__main__':
main()
##__________________________________________________________________||
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googlecode-issues-exporter/generate_user_map.py | ballschin52/support-tools | 41 | 14533 | <filename>googlecode-issues-exporter/generate_user_map.py
# Copyright 2014 Google Inc. 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.
"""Tool for generating a user mapping from Google Code user to BitBucket user.
"""
import argparse
import json
import sys
import issues
class OptionalMap(dict):
"""Dictionary that returns the key for missing items. """
def __missing__(self, key):
"""Implements the dict interface. """
return key
def addIfNotPresent(users, user):
"""Adds a user if it is not already set."""
if user not in users:
users[user] = user
def _CreateUsersDict(issue_data, project_name):
"""Extract users from list of issues into a dict.
Args:
issue_data: Issue data
project_name: The name of the project being exported.
Returns:
Dict of users associated with a list of issues
"""
users = {}
for issue in issue_data:
googlecode_issue = issues.GoogleCodeIssue(
issue, project_name, OptionalMap())
reporting_user = googlecode_issue.GetAuthor()
addIfNotPresent(users, reporting_user)
assignee_user = googlecode_issue.GetOwner()
addIfNotPresent(users, assignee_user)
googlecode_comments = googlecode_issue.GetComments()
for comment in googlecode_comments:
googlecode_comment = issues.GoogleCodeComment(googlecode_issue, comment)
commenting_user = googlecode_comment.GetAuthor()
addIfNotPresent(users, commenting_user)
return {
"users": users
}
def Generate(issue_file_path, project_name):
"""Generates a user map for the specified issues. """
issue_data = None
user_file = open(issue_file_path)
user_data = json.load(user_file)
user_projects = user_data["projects"]
for project in user_projects:
if project_name in project["name"]:
issue_data = project["issues"]["items"]
break
if issue_data is None:
raise issues.ProjectNotFoundError(
"Project %s not found" % project_name)
users = _CreateUsersDict(issue_data, project_name)
with open("users.json", "w") as users_file:
user_json = json.dumps(users, sort_keys=True, indent=4,
separators=(",", ": "), ensure_ascii=False)
users_file.write(unicode(user_json))
print "\nCreated file users.json.\n"
def main(args):
"""The main function.
Args:
args: The command line arguments.
Raises:
issues.ProjectNotFoundError: The user passed in an invalid project name.
"""
parser = argparse.ArgumentParser()
parser.add_argument("--issue_file_path", required=True,
help="The path to the file containing the issues from"
"Google Code.")
parser.add_argument("--project_name", required=True,
help="The name of the Google Code project you wish to"
"export")
parsed_args, _ = parser.parse_known_args(args)
Generate(parsed_args.issue_file_path, parsed_args.project_name)
if __name__ == "__main__":
main(sys.argv)
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] |
src/single_pendulum.py | dpopchev/Computation_python | 0 | 20917 | #!/usr/bin/env python3
# do not hesitate to debug
import pdb
# python computation modules and visualization
import numpy as np
import sympy as sy
import scipy as sp
import matplotlib.pyplot as plt
from sympy import Q as syQ
sy.init_printing(use_latex=True,forecolor="White")
def Lyapunov_stability_test_linear(ev):
''' test if a linear homogeneous system with constant coefficients is stable
in the sense of Lyapunov by checking the theorem conditions against the
provided eigenvalues
source https://www.math24.net/stability-theory-basic-concepts/
TODO taking into account eigenvalue multiplicity '''
# the criteria result will be saved here
r = None
# system is asymptotically stable if only if
# all eigenvalues have negative real parts
r = 'asymptotically stable' if ( not r
and all(sy.ask(syQ.negative(sy.re(_))) for _ in ev) ) else None
# system is stable if and only if
# all eigenvalues have nonpositive real parts
# TODO incorporate algebraic and geometric multiplicity criteria
r = 'stable' if ( not r
and all(sy.ask(syQ.nonpositive(sy.re(_))) for _ in ev) ) else None
# system is unstable if
# at least one eigenvalue has positive real part
# TODO incorporate algebraic and geometric multiplicity criteria
r = 'unstable' if ( not r
and any(sy.ask(syQ.positive(sy.re(_))) for _ in ev) ) else None
return r
def Lyapunov_stability_test_nonlinear(ev):
''' test if the fixed point of a nonlinear structure stable system
is stable, unstable, critical or impossible to determine using Lyapunov
criteria of first order and thus other methods are needed
TODO tests are only applicable for structurally stable systems, i.e.
with purely imaginary eigenvalues are not taken into account
source https://www.math24.net/stability-first-approximation/ '''
# the criteria result will be saved here
r = None
# system is asymptotically stable if only if
# all eigenvalues have negative real parts
r = 'asymptotically stable' if ( not r
and all(sy.ask(syQ.negative(sy.re(_))) for _ in ev) ) else None
# system is unstable if
# at least one eigenvalue has positive real part
r = 'unstable' if ( not r
and any(sy.ask(syQ.positive(sy.re(_))) for _ in ev) ) else None
# if all eigenvalues have non-positive real parts,
# and there is at least one eigenvalue with zero real part
# then fixed point can be stable or unstable and other methods should be
# used, thus mark the point critical
r = 'critical' if ( not r
and all(sy.ask(Q.nonpositive(sy.re(_))) for _ in ev)
and any(sy.re(_) == 0 for _ in ev)
) else None
return r if r else 'not decided'
def RouthHurwitz_Criterion(p):
''' return principal minors of Hurwitz matrix as sympy polynomials, which if
all are positive it is sufficient condition for asymptotic stability
NOTE: if all n-1 principal minors are positive, and nth minor is zero,
the system is at the boundary of stability, with two cases:
a_n = 0 -- one of the root is zero and system is on the boundary of
aperiodic stability
n-1 minor is zero -- there are two complex conjugate imaginary roots and
the system is at boundary of oscillatory stability
source https://www.math24.net/routh-hurwitz-criterion/ '''
# initial key and index pair needed to create Hurwitz matrix via sympy banded
# each entry is of the type [ dictionary key, coefficient slice ]
idxs = [ [ 1, 0 ] ]
# generate next key by decrementing with 1
genKey = lambda _: _ - 1
# generate next index by incrementing with 1 if key was nonnegative
# or with 2 if key is negative
genSlice = lambda _, __: __ + 1 if _ >= 0 else __ + 2
# fill the rest pairs w.r.t. the polynomial degree - 1, as we already have
# one entry
for _ in range(p.degree() - 1):
key = genKey(idxs[-1][0])
idxs.append( [ key, genSlice(key, idxs[-1][1] ) ] )
# create the matrix itself
H = sy.banded({ k: p.all_coeffs()[v:] for k, v in idxs })
return [ H[:_, :_].det() if _ > 0 else p.LC() for _ in range(0, p.degree()+1) ]
# define independent variable
t = sy.symbols('t', real=True)
# define dependent variables individually and pact them in an variable
theta, omega = sy.symbols(r'\theta, \omega', real = True)
Y = theta, omega
# define free parameters of they system and pack them in a variable
g, L = sy.symbols('g, L', positive = True)
parms = g, L
# create rhs as sympy expressions
theta_dt = omega
omega_dt = -(g/L)*sy.sin(theta)
rhs = {}
rhs['sympy'] = sy.Matrix([theta_dt, omega_dt])
# convert the sympy matrix function to numpy function with usual signature
rhs['numpy'] = sy.lambdify((t, Y, *parms), rhs['sympy'], 'numpy')
# create Jacobian matrix as sympy expression
J = {}
J['sympy'] = rhs['sympy'].jacobian(Y)
# convert the sympy Jacobian expression to numpy function with usual signature
J['numpy'] = sy.lambdify((t, Y, *parms), J['sympy'])
# calculate rhs fixed points
fixed_points = sy.solve(rhs['sympy'], Y)
# substitute each fixed point in the Jacobian
# and calculate the eigenvalues
J_fixed = {}
for i, fp in enumerate(fixed_points):
J_subs = J['sympy'].subs( [(y, v) for y, v in zip(Y, fp)])
#J_eigenvals = J_subs.eigenvals(multiple=True)
J_eigenvals = J_subs.eigenvals()
# save the fixed point results in more details
# most importantly the eigenvalues and their corresponding multiplicity
J_fixed[i] = {
'fixed point': fp,
'subs': J_subs,
'eigenvalues': list(J_eigenvals.keys()),
'multiplicity': list(J_eigenvals.values())
}
def plot_phase_portrait(ax, rhs, section, args=(), n_points=25):
''' plot section of phase space of a field defined via its rhs '''
# create section grid
x_grid, y_grid = np.meshgrid(
np.linspace( section[0][0], section[0][1], n_points ),
np.linspace( section[1][0], section[1][1], n_points )
)
# calculate rhs on the grid
xx, yy = rhs(None, ( x_grid, y_grid ), *args)
# compute vector norms and make line width proportional to them
# i.e. greater the vector length, the thicker the line
# TODO not sure why rhs returns different shape
vector_norms = np.sqrt(xx[0]**2 + yy[0]**2)
lw = 0.25 + 3*vector_norms/vector_norms.max()
# plot the phase portrait
ax.streamplot(
x_grid, y_grid,
xx[0], yy[0],
linewidth = lw,
arrowsize = 1.2,
density = 1
)
return ax
def plot_main():
fig, ax = plt.subplots()
ax = plot_phase_portrait(
ax,
rhs['numpy'],
(
( -np.pi, np.pi ),
( -2*np.pi, 2*np.pi)
),
args = ( 5, 1 ),
)
if __name__ == '__main__':
plot_main()
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29918,
3396,
580,
13,
2
] |
lecture09/btree/fingersearchtree.py | vaibhavminde/Deep-Learning-MITOCW | 12 | 174199 | """
Augmented B-Tree: Insertion
---------------------------
This folder contains an implementation of an augmented B-tree.
For this implementation, the tree only stores data in its leaf
nodes. Each node also has level-set pointers defined here which
access the left and right siblings of each node (or None if they do not exist).
Each node also has a min/max key which store the minimum and maximum values
stored in the node or its children if it's not a leaf.
This implementation is optimized for finger-searching, i.e. finding a particular
value starting at a given node
"""
from remove import BTreeDeleteNode as BTreeNode
class FingerSearchBTree(object):
"""
B-tree class using the augmented nodes
that satisfy the finger-search property
"""
def __init__(self, T, t):
self.type = T
self.root = None
self.t = t
def _type_check(self, key):
"""
Type check if the a key is the right type
for the tree
"""
if not isinstance(key, self.type):
raise TypeError(
'{} is not the correct type'.format(key))
def search(self, key):
"""
Search the B-tree for the node
containing a provided key
"""
self._type_check(key)
if self.root is None:
return None
return self.root.search(key)
def insert(self, key):
"""
Insert a provided key into the tree
"""
self._type_check(key)
if self.root is None:
self.root = BTreeNode(self.t)
self.root = self.root.insert(key)
def remove(self, key):
"""
Remove a key from the tree
"""
self._type_check(key)
if self.root is None:
raise KeyError(
'key {} is not in B-tree'.format(key))
self.root = self.root.remove(key)
def traverse(self):
"""
Traverse the tree and return the values inorder
"""
if self.root is None:
return ''
return self.root.traverse()
def finger_search(self, src, dst):
"""
Search for a node, dst, from a key or from a provided node
This tree obeys the finger-search property, meaning
that this takes no more than O(log(abs(rank(src) - rank(dst))))
"""
if isinstance(src, self.type):
src = self.search(src)
if src is None:
raise KeyError(
'{} is not in B-tree'.format(src))
if not isinstance(src, BTreeNode):
raise TypeError(
'Unexcepted 1st argument to finger_search')
if src.min <= dst and dst <= src.max:
return src.search(dst)
if dst < src.min:
src = src.left
elif dst > src.max:
src = src.right
src = src.parent
if src is None:
return None
return self.finger_search(src, dst)
| [
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1583,
29889,
29888,
5621,
29918,
4478,
29898,
4351,
29892,
29743,
29897,
13,
2
] |
babysploit/wpseku/lib/printer.py | kevinsegal/BabySploit | 0 | 47317 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# WPSeku - Wordpress Security Scanner
# by <NAME> (m4ll0k)
from lib.colors import *
def decode(string):
return string.encode('utf-8')
def plus(string):
print("{}[ + ]{} {}{}{}".format(
GREEN%1,RESET,GREEN%0,string,RESET))
def test(string):
print("{}[ * ]{} {}{}{}".format(
BLUE%1,RESET,WHITE%0,string,RESET))
def warn(string):
print("{}[ ! ]{} {}{}{}".format(
RED%1,RESET,RED%0,string,RESET))
def info(string):
print("{}[ i ]{} {}{}{}".format(
YELLOW%1,RESET,YELLOW%0,string,RESET))
def normal(string):
print("{}{}{}".format(WHITE%1,string,RESET))
def more(string):
print(" {}|{} {}{}{}".format(
WHITE%0,RESET,WHITE%1,string,RESET))
| [
1,
18787,
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13,
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12,
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1525,
10490,
29892,
25039,
9094,
29995,
29896,
29892,
1807,
29892,
1525,
10490,
876,
13,
2
] |
tellurium/optimization/__init__.py | stanleygu/tellurium | 0 | 170718 | <filename>tellurium/optimization/__init__.py
from DiffEvolution import DiffEvolution
| [
1,
529,
9507,
29958,
29873,
514,
332,
1974,
29914,
20640,
2133,
29914,
1649,
2344,
26914,
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13,
3166,
360,
2593,
29923,
4068,
1053,
360,
2593,
29923,
4068,
13,
2
] |
LeetCode/Python3/BinaryTree/331. Verify Preorder Serialization of a Binary Tree.py | WatsonWangZh/CodingPractice | 11 | 158407 | <gh_stars>10-100
# One way to serialize a binary tree is to use pre-order traversal.
# When we encounter a non-null node, we record the node's value. If it is a null node,
# we record using a sentinel value such as #.
# _9_
# / \
# 3 2
# / \ / \
# 4 1 # 6
# / \ / \ / \
# # # # # # #
# For example, the above binary tree can be serialized to the string "9,3,4,#,#,1,#,#,2,#,6,#,#",
# where # represents a null node.
# Given a string of comma separated values, verify whether it is a correct
# preorder traversal serialization of a binary tree. Find an algorithm without
# reconstructing the tree.
# Each comma separated value in the string must be either an integer
# or a character '#' representing null pointer.
# You may assume that the input format is always valid,
# for example it could never contain two consecutive commas such as "1,,3".
# Example 1:
# Input: "9,3,4,#,#,1,#,#,2,#,6,#,#"
# Output: true
# Example 2:
# Input: "1,#"
# Output: false
# Example 3:
# Input: "9,#,#,1"
# Output: false
class Solution(object):
def isValidSerialization(self, preorder):
"""
:type preorder: str
:rtype: bool
"""
# M1. 出度入度之差
# 入度等于出度
# 根节点：0个入度，2个出度；其他非空结点：1个入度，2个出度；空节点：1个入度，0个出度。
# 应保证出度-入度始终≥0，且最终差值为0。
# 遍历到每个结点时，因为入度为1，所以diff -= 1（考虑头结点，diff初始化为1）。
# 如果非空，因为出度为2，所以diff += 2。
diff = 1
preorder = preorder.split(',')
for x in preorder:
diff -= 1
if diff < 0:
return False
if x != '#':
diff += 2
return diff == 0
# M2. 栈
'''
不断的砍掉叶子节点，最后看能不能全部砍掉。
遇到x # #的时候，就把它变为 #
“9,3,4,#,#,1,#,#,2,#,6,#,#” 为例
模拟过程：
9,3,4,#,# => 9,3,# 继续读
9,3,#,1,#,# => 9,3,#,# => 9,# 继续读
9,#2,#,6,#,# => 9,#,2,#,# => 9,#,# => #
'''
preorder = preorder.split(',')
stack = []
for x in preorder:
stack.append(x)
while len(stack) >= 3 and stack[-2:] == ['#','#'] and stack[-3] != '#':
stack[-3:] = '#'
return stack == ['#']
| [
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29915,
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4706,
736,
5096,
1275,
6024,
29937,
2033,
13,
2
] |
src/typeDefs/lineFlowSumm.py | nagasudhirpulla/wrldc_scada_mumbai_dashboard | 0 | 14051 | <filename>src/typeDefs/lineFlowSumm.py
from typing import TypedDict
class ILineFlowSumm(TypedDict):
inst: dict
maxFlow: dict
maxTime: dict
| [
1,
529,
9507,
29958,
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] |
blipy/Postmasters/__AI.py | liviaalmeida/blipy | 0 | 1611827 | from blipy.Http import Postmaster
INTENTS = '/intentions'
class AIPostmaster(Postmaster):
def __init__(self, authorization):
super().__init__(authorization, 'ai')
def getIntent(self, intentId):
return super().Get(f'{INTENTS}/{intentId}?deep=true')
def getIntents(self):
return super().GetAll(f'{INTENTS}')
def getEntity(self, entityId):
return super().Get(f'/entities/{entityId}')
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2
] |
tests/sms/integration/test_reschedule_and_update_cases.py | infobip-community/infobip-api-python-sdk | 0 | 174403 | from pytest_cases import parametrize
from tests.conftest import get_expected_put_headers
from tests.sms.conftest import (
GenerateRescheduleSMSMessagesFactory,
GenerateUpdateScheduledSMSMessagesStatusFactory,
get_reschedule_sms_messages_query_parameters,
get_scheduled_sms_messages_response,
get_sms_request_error_response,
get_update_scheduled_sms_messages_status_response,
)
ENDPOINT_TEST_ARGUMENTS = {
"reschedule_sms_messages": {
"endpoint": "/sms/1/bulks",
"http_method": "PUT",
"expected_headers": get_expected_put_headers(),
"expected_path_parameters": None,
"expected_query_parameters": "bulkId=35122736310703571952",
"expected_json": GenerateRescheduleSMSMessagesFactory,
"request_query_parameters": get_reschedule_sms_messages_query_parameters(),
"method_name": "reschedule_sms_messages",
},
"update_scheduled_sms_messages_status": {
"endpoint": "/sms/1/bulks/status",
"http_method": "PUT",
"expected_headers": get_expected_put_headers(),
"expected_path_parameters": None,
"expected_query_parameters": "bulkId=35122736310703571952",
"expected_json": GenerateUpdateScheduledSMSMessagesStatusFactory,
"request_query_parameters": get_reschedule_sms_messages_query_parameters(),
"method_name": "update_scheduled_sms_messages_status",
},
}
@parametrize(
endpoint_type=ENDPOINT_TEST_ARGUMENTS.keys(),
responses=(
[200, get_scheduled_sms_messages_response],
[400, get_sms_request_error_response],
),
)
def case__supported_status(endpoint_type, responses):
status_code = responses[0]
response_content = responses[1]
if endpoint_type == "update_scheduled_sms_messages_status" and responses[0] == 200:
response_content = get_update_scheduled_sms_messages_status_response
return (
status_code,
response_content(),
ENDPOINT_TEST_ARGUMENTS[endpoint_type]["endpoint"],
ENDPOINT_TEST_ARGUMENTS[endpoint_type]["http_method"],
ENDPOINT_TEST_ARGUMENTS[endpoint_type]["expected_headers"],
ENDPOINT_TEST_ARGUMENTS[endpoint_type]["expected_path_parameters"],
ENDPOINT_TEST_ARGUMENTS[endpoint_type]["expected_query_parameters"],
ENDPOINT_TEST_ARGUMENTS[endpoint_type]["expected_json"],
ENDPOINT_TEST_ARGUMENTS[endpoint_type]["request_query_parameters"],
ENDPOINT_TEST_ARGUMENTS[endpoint_type]["method_name"],
)
@parametrize(endpoint_type=ENDPOINT_TEST_ARGUMENTS.keys())
def case__unsupported_status(endpoint_type):
return (
201,
get_sms_request_error_response(),
ENDPOINT_TEST_ARGUMENTS[endpoint_type]["endpoint"],
ENDPOINT_TEST_ARGUMENTS[endpoint_type]["http_method"],
ENDPOINT_TEST_ARGUMENTS[endpoint_type]["expected_headers"],
ENDPOINT_TEST_ARGUMENTS[endpoint_type]["expected_path_parameters"],
ENDPOINT_TEST_ARGUMENTS[endpoint_type]["expected_query_parameters"],
ENDPOINT_TEST_ARGUMENTS[endpoint_type]["expected_json"],
ENDPOINT_TEST_ARGUMENTS[endpoint_type]["request_query_parameters"],
ENDPOINT_TEST_ARGUMENTS[endpoint_type]["method_name"],
)
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app/controller/admin/journal_entry_controller.py | JunFuruya/Ratsnake | 0 | 72819 | # -*- coding: UTF-8 -*-
from app.controller.base_controller import BaseController
from app.validator.journal_entry_validator import JournalEntryValidator
from app.service.journal_entry_service import JournalEntryService
from app.entity.journal_entry_entity import JournalEntryEntity
'''
Journal Entry Controller Controller Module
'''
class JournalEntryController(BaseController):
def __init__(self, request):
super().__init__(request)
self.set_page_info('仕分元帳', '入出金明細を登録します。', '')
self.__user_id = self.get_login_user()
self.__service = JournalEntryService()
self.__validator = JournalEntryValidator()
pass
def index(self):
limit = self.get_param('limit', 10)
offset = self.get_param('offset', 0)
# session をクリアする
self.set_session('journal_entry_id', '')
self.set_session('account_title_id', '')
self.set_session('journal_entry_transaction_date', '')
self.set_session('journal_entry_note', '')
return self.view('./template/admin/journal-entries/list.html', self.__service.getList(self.__user_id, limit, offset))
def create(self):
return self.view('./template/admin/journal-entries/create.html', JournalEntryEntity())
def detail(self, journal_entry_id):
# TODO validation
self.set_session('journal_entry_id', language_id)
return self.view('./template/admin/journal-entries/detail.html', self.__service.get(self.__user_id, journal_entry_id))
def edit(self, journal_entry_id):
language_id = self.get_session('journal_entry_id')
# TODO validation
return self.view('./template/admin/journal-entries/edit.html', self.__service.get(self.__user_id, journal_entry_id))
def confirm(self):
journal_entry_id = self.get_session('journal_entry_id')
account_title_id = self.get_session('account_title_id')
journal_entry_transaction_date = self.get_param('journal_entry_transaction_date')
journal_entry_note = self.get_param('journal_entry_note')
error_messages = self.__validator.get_error_messages(account_title_id, journal_entry_transaction_date, journal_entry_note)
if(len(error_messages) == 0):
self.set_session('journal_entry_id', '')
self.set_session('account_title_id', '')
self.set_session('journal_entry_transaction_date', '')
self.set_session('journal_entry_note', '')
template = './template/admin/journal-entries/confirm.html'
else:
template = './template/admin/journal-entries/create.html'
# TODO Factory Class
entity = JournalEntryEntity()
entity.set_journal_entry_id(journal_entry_id)
entity.set_account_title_id(account_title_id)
entity.set_journal_entry_transaction_date(journal_entry_transaction_date)
entity.set_journal_entry_note(journal_entry_note)
entity.set_error_message(error_messages)
return self.view(template, entity)
def insert(self):
journal_entry_name = self.get_session('journal_entry_name')
# TODO validation
# session をクリアする
self.set_session('journal_entry_id', '')
self.set_session('account_title_id', '')
self.set_session('journal_entry_transaction_date', '')
self.set_session('journal_entry_note', '')
return self.view('./template/admin/journal-entries/complete.html', self.__service.create(self.__user_id, account_title_id, journal_entry_transaction_date, journal_entry_note))
def update(self):
journal_entry_id = self.get_session('journal_entry_id')
account_title_id = self.get_session('account_title_id')
journal_entry_transaction_date = self.get_session('journal_entry_transaction_date')
journal_entry_note = self.get_session('journal_entry_note')
# session をクリアする
self.set_session('journal_entry_id', '')
self.set_session('account_title_id', '')
self.set_session('journal_entry_transaction_date', '')
self.set_session('journal_entry_note', '')
entity = JournalEntryEntity()
entity.set_language_id(self.__service.update(journal_entry_id, self.__user_id, account_title_id, journal_entry_transaction_date, journal_entry_note))
return self.view('./template/admin/journal-entries/complete.html', entity)
def delete(self):
journal_entry_id = self.get_param('journal_entry_id')
# session をクリアする
self.set_session('journal_entry_id', '')
self.set_session('account_title_id', '')
self.set_session('journal_entry_transaction_date', '')
self.set_session('journal_entry_note', '')
entity = JournalEntryEntity()
entity.set_journal_entry_id(self.__service.delete(journal_entry_id, self.__user_id))
return self.view('./template/admin/journal-entries/complete.html', entity) | [
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polymorphic/polymorphic_model.py | fusionbox/django_polymorphic | 0 | 77114 | # -*- coding: utf-8 -*-
"""
Seamless Polymorphic Inheritance for Django Models
==================================================
Please see README.rst and DOCS.rst for further information.
Or on the Web:
http://chrisglass.github.com/django_polymorphic/
http://github.com/chrisglass/django_polymorphic
Copyright:
This code and affiliated files are (C) by <NAME> and individual contributors.
Please see LICENSE and AUTHORS for more information.
"""
from __future__ import absolute_import
from django.db import models
from django.contrib.contenttypes.models import ContentType
from django.utils import six
from .base import PolymorphicModelBase
from .manager import PolymorphicManager
from .query_translate import translate_polymorphic_Q_object
###################################################################################
### PolymorphicModel
class PolymorphicModel(six.with_metaclass(PolymorphicModelBase, models.Model)):
"""
Abstract base class that provides polymorphic behaviour
for any model directly or indirectly derived from it.
For usage instructions & examples please see documentation.
PolymorphicModel declares one field for internal use (polymorphic_ctype)
and provides a polymorphic manager as the default manager
(and as 'objects').
PolymorphicModel overrides the save() and __init__ methods.
If your derived class overrides any of these methods as well, then you need
to take care that you correctly call the method of the superclass, like:
super(YourClass,self).save(*args,**kwargs)
"""
# for PolymorphicModelBase, so it can tell which models are polymorphic and which are not (duck typing)
polymorphic_model_marker = True
# for PolymorphicQuery, True => an overloaded __repr__ with nicer multi-line output is used by PolymorphicQuery
polymorphic_query_multiline_output = False
class Meta:
abstract = True
# avoid ContentType related field accessor clash (an error emitted by model validation)
polymorphic_ctype = models.ForeignKey(ContentType, null=True, editable=False,
related_name='polymorphic_%(app_label)s.%(class)s_set')
# some applications want to know the name of the fields that are added to its models
polymorphic_internal_model_fields = ['polymorphic_ctype']
# Note that Django 1.5 removes these managers because the model is abstract.
# They are pretended to be there by the metaclass in PolymorphicModelBase.get_inherited_managers()
objects = PolymorphicManager()
base_objects = models.Manager()
@classmethod
def translate_polymorphic_Q_object(self_class, q):
return translate_polymorphic_Q_object(self_class, q)
def pre_save_polymorphic(self):
"""Normally not needed.
This function may be called manually in special use-cases. When the object
is saved for the first time, we store its real class in polymorphic_ctype.
When the object later is retrieved by PolymorphicQuerySet, it uses this
field to figure out the real class of this object
(used by PolymorphicQuerySet._get_real_instances)
"""
if not self.polymorphic_ctype_id:
self.polymorphic_ctype = ContentType.objects.get_for_model(self, for_concrete_model=False)
def save(self, *args, **kwargs):
"""Overridden model save function which supports the polymorphism
functionality (through pre_save_polymorphic)."""
self.pre_save_polymorphic()
return super(PolymorphicModel, self).save(*args, **kwargs)
def get_real_instance_class(self):
"""
Normally not needed.
If a non-polymorphic manager (like base_objects) has been used to
retrieve objects, then the real class/type of these objects may be
determined using this method.
"""
# the following line would be the easiest way to do this, but it produces sql queries
# return self.polymorphic_ctype.model_class()
# so we use the following version, which uses the CopntentType manager cache.
# Note that model_class() can return None for stale content types;
# when the content type record still exists but no longer refers to an existing model.
try:
return ContentType.objects.get_for_id(self.polymorphic_ctype_id).model_class()
except AttributeError:
# Django <1.6 workaround
return None
def get_real_concrete_instance_class_id(self):
model_class = self.get_real_instance_class()
if model_class is None:
return None
return ContentType.objects.get_for_model(model_class, for_concrete_model=True).pk
def get_real_concrete_instance_class(self):
model_class = self.get_real_instance_class()
if model_class is None:
return None
return ContentType.objects.get_for_model(model_class, for_concrete_model=True).model_class()
def get_real_instance(self):
"""Normally not needed.
If a non-polymorphic manager (like base_objects) has been used to
retrieve objects, then the complete object with it's real class/type
and all fields may be retrieved with this method.
Each method call executes one db query (if necessary)."""
real_model = self.get_real_instance_class()
if real_model == self.__class__:
return self
return real_model.objects.get(pk=self.pk)
def __init__(self, * args, ** kwargs):
"""Replace Django's inheritance accessor member functions for our model
(self.__class__) with our own versions.
We monkey patch them until a patch can be added to Django
(which would probably be very small and make all of this obsolete).
If we have inheritance of the form ModelA -> ModelB ->ModelC then
Django creates accessors like this:
- ModelA: modelb
- ModelB: modela_ptr, modelb, modelc
- ModelC: modela_ptr, modelb, modelb_ptr, modelc
These accessors allow Django (and everyone else) to travel up and down
the inheritance tree for the db object at hand.
The original Django accessors use our polymorphic manager.
But they should not. So we replace them with our own accessors that use
our appropriate base_objects manager.
"""
super(PolymorphicModel, self).__init__(*args, ** kwargs)
if self.__class__.polymorphic_super_sub_accessors_replaced:
return
self.__class__.polymorphic_super_sub_accessors_replaced = True
def create_accessor_function_for_model(model, accessor_name):
def accessor_function(self):
attr = model.base_objects.get(pk=self.pk)
return attr
return accessor_function
subclasses_and_superclasses_accessors = self._get_inheritance_relation_fields_and_models()
from django.db.models.fields.related import SingleRelatedObjectDescriptor, ReverseSingleRelatedObjectDescriptor
for name, model in subclasses_and_superclasses_accessors.items():
orig_accessor = getattr(self.__class__, name, None)
if type(orig_accessor) in [SingleRelatedObjectDescriptor, ReverseSingleRelatedObjectDescriptor]:
#print >>sys.stderr, '---------- replacing', name, orig_accessor, '->', model
setattr(self.__class__, name, property(create_accessor_function_for_model(model, name)))
def _get_inheritance_relation_fields_and_models(self):
"""helper function for __init__:
determine names of all Django inheritance accessor member functions for type(self)"""
def add_model(model, as_ptr, result):
name = model.__name__.lower()
if as_ptr:
name += '_ptr'
result[name] = model
def add_model_if_regular(model, as_ptr, result):
if (issubclass(model, models.Model)
and model != models.Model
and model != self.__class__
and model != PolymorphicModel):
add_model(model, as_ptr, result)
def add_all_super_models(model, result):
add_model_if_regular(model, True, result)
for b in model.__bases__:
add_all_super_models(b, result)
def add_all_sub_models(model, result):
for b in model.__subclasses__():
add_model_if_regular(b, False, result)
result = {}
add_all_super_models(self.__class__, result)
add_all_sub_models(self.__class__, result)
return result
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2043,
962,
5676,
293,
3260,
13,
3166,
869,
1972,
29918,
21652,
1053,
14240,
29918,
3733,
962,
5676,
293,
29918,
29984,
29918,
3318,
13,
13,
13,
13383,
13383,
13383,
13383,
13383,
2277,
29937,
13,
2277,
29937,
2043,
962,
5676,
293,
3195,
13,
13,
1990,
2043,
962,
5676,
293,
3195,
29898,
28319,
29889,
2541,
29918,
2527,
562,
605,
29898,
7713,
962,
5676,
293,
3195,
5160,
29892,
4733,
29889,
3195,
22164,
13,
1678,
9995,
13,
1678,
25513,
2967,
770,
393,
8128,
24324,
5676,
293,
10468,
13,
1678,
363,
738,
1904,
4153,
470,
26377,
368,
10723,
515,
372,
29889,
13,
13,
1678,
1152,
8744,
11994,
669,
6455,
3113,
1074,
5106,
29889,
13,
13,
1678,
2043,
962,
5676,
293,
3195,
4845,
5114,
697,
1746,
363,
7463,
671,
313,
3733,
962,
5676,
293,
29918,
312,
668,
29897,
13,
1678,
322,
8128,
263,
24324,
5676,
293,
8455,
408,
278,
2322,
8455,
13,
1678,
313,
392,
408,
525,
12650,
2824,
13,
13,
1678,
2043,
962,
5676,
293,
3195,
975,
24040,
278,
4078,
580,
322,
4770,
2344,
1649,
3519,
29889,
13,
13,
1678,
960,
596,
10723,
770,
975,
24040,
738,
310,
1438,
3519,
408,
1532,
29892,
769,
366,
817,
13,
1678,
304,
2125,
2562,
393,
366,
5149,
1246,
278,
1158,
310,
278,
2428,
1990,
29892,
763,
29901,
13,
13,
4706,
2428,
29898,
10858,
2385,
29892,
1311,
467,
7620,
10456,
5085,
29892,
1068,
19290,
29897,
13,
1678,
9995,
13,
13,
1678,
396,
363,
2043,
962,
5676,
293,
3195,
5160,
29892,
577,
372,
508,
2649,
607,
4733,
526,
24324,
5676,
293,
322,
607,
526,
451,
313,
700,
384,
19229,
29897,
13,
1678,
24324,
5676,
293,
29918,
4299,
29918,
22976,
353,
5852,
13,
13,
1678,
396,
363,
2043,
962,
5676,
293,
3010,
29892,
5852,
1149,
385,
975,
15638,
4770,
276,
558,
1649,
411,
16588,
261,
2473,
29899,
1220,
1962,
338,
1304,
491,
2043,
962,
5676,
293,
3010,
13,
1678,
24324,
5676,
293,
29918,
1972,
29918,
4713,
309,
457,
29918,
4905,
353,
7700,
13,
13,
1678,
770,
20553,
29901,
13,
4706,
9846,
353,
5852,
13,
13,
1678,
396,
4772,
10576,
1542,
4475,
1746,
2130,
272,
1067,
1161,
313,
273,
1059,
953,
4430,
491,
1904,
8845,
29897,
13,
1678,
24324,
5676,
293,
29918,
312,
668,
353,
4733,
29889,
27755,
2558,
29898,
3916,
1542,
29892,
1870,
29922,
5574,
29892,
3863,
519,
29922,
8824,
29892,
13,
462,
18884,
4475,
29918,
978,
2433,
3733,
962,
5676,
293,
29918,
29995,
29898,
932,
29918,
1643,
29897,
29879,
29889,
29995,
29898,
1990,
29897,
29879,
29918,
842,
1495,
13,
13,
1678,
396,
777,
8324,
864,
304,
1073,
278,
1024,
310,
278,
4235,
393,
526,
2715,
304,
967,
4733,
13,
1678,
24324,
5676,
293,
29918,
7564,
29918,
4299,
29918,
9621,
353,
6024,
3733,
962,
5676,
293,
29918,
312,
668,
2033,
13,
13,
1678,
396,
3940,
393,
15337,
29871,
29896,
29889,
29945,
25388,
1438,
767,
18150,
1363,
278,
1904,
338,
9846,
29889,
13,
1678,
396,
2688,
526,
14794,
2760,
304,
367,
727,
491,
278,
1539,
562,
605,
297,
2043,
962,
5676,
293,
3195,
5160,
29889,
657,
29918,
262,
2276,
1573,
29918,
1171,
18150,
580,
13,
1678,
3618,
353,
2043,
962,
5676,
293,
3260,
580,
13,
1678,
2967,
29918,
12650,
353,
4733,
29889,
3260,
580,
13,
13,
1678,
732,
1990,
5696,
13,
1678,
822,
14240,
29918,
3733,
962,
5676,
293,
29918,
29984,
29918,
3318,
29898,
1311,
29918,
1990,
29892,
3855,
1125,
13,
4706,
736,
14240,
29918,
3733,
962,
5676,
293,
29918,
29984,
29918,
3318,
29898,
1311,
29918,
1990,
29892,
3855,
29897,
13,
13,
1678,
822,
758,
29918,
7620,
29918,
3733,
962,
5676,
293,
29898,
1311,
1125,
13,
4706,
9995,
29940,
555,
635,
451,
4312,
29889,
13,
4706,
910,
740,
1122,
367,
2000,
7522,
297,
4266,
671,
29899,
11436,
29889,
1932,
278,
1203,
13,
4706,
338,
7160,
363,
278,
937,
931,
29892,
591,
3787,
967,
1855,
770,
297,
24324,
5676,
293,
29918,
312,
668,
29889,
13,
4706,
1932,
278,
1203,
2678,
338,
27387,
491,
2043,
962,
5676,
293,
3010,
2697,
29892,
372,
3913,
445,
13,
4706,
1746,
304,
4377,
714,
278,
1855,
770,
310,
445,
1203,
13,
4706,
313,
3880,
491,
2043,
962,
5676,
293,
3010,
2697,
3032,
657,
29918,
6370,
29918,
2611,
2925,
29897,
13,
4706,
9995,
13,
4706,
565,
451,
1583,
29889,
3733,
962,
5676,
293,
29918,
312,
668,
29918,
333,
29901,
13,
9651,
1583,
29889,
3733,
962,
5676,
293,
29918,
312,
668,
353,
10576,
1542,
29889,
12650,
29889,
657,
29918,
1454,
29918,
4299,
29898,
1311,
29892,
363,
29918,
535,
9084,
29918,
4299,
29922,
8824,
29897,
13,
13,
1678,
822,
4078,
29898,
1311,
29892,
334,
5085,
29892,
3579,
19290,
1125,
13,
4706,
9995,
3563,
2429,
1145,
1904,
4078,
740,
607,
11286,
278,
24324,
28611,
13,
4706,
9863,
313,
20678,
758,
29918,
7620,
29918,
3733,
962,
5676,
293,
467,
15945,
29908,
13,
4706,
1583,
29889,
1457,
29918,
7620,
29918,
3733,
962,
5676,
293,
580,
13,
4706,
736,
2428,
29898,
7713,
962,
5676,
293,
3195,
29892,
1583,
467,
7620,
10456,
5085,
29892,
3579,
19290,
29897,
13,
13,
1678,
822,
679,
29918,
6370,
29918,
8758,
29918,
1990,
29898,
1311,
1125,
13,
4706,
9995,
13,
4706,
5655,
635,
451,
4312,
29889,
13,
4706,
960,
263,
1661,
29899,
3733,
962,
5676,
293,
8455,
313,
4561,
2967,
29918,
12650,
29897,
756,
1063,
1304,
304,
13,
4706,
10563,
3618,
29892,
769,
278,
1855,
770,
29914,
1853,
310,
1438,
3618,
1122,
367,
13,
4706,
10087,
773,
445,
1158,
29889,
13,
4706,
9995,
13,
4706,
396,
278,
1494,
1196,
723,
367,
278,
19075,
982,
304,
437,
445,
29892,
541,
372,
13880,
4576,
9365,
13,
4706,
396,
736,
1583,
29889,
3733,
962,
5676,
293,
29918,
312,
668,
29889,
4299,
29918,
1990,
580,
13,
4706,
396,
577,
591,
671,
278,
1494,
1873,
29892,
607,
3913,
278,
10061,
593,
296,
1542,
8455,
7090,
29889,
13,
4706,
396,
3940,
393,
1904,
29918,
1990,
580,
508,
736,
6213,
363,
380,
744,
2793,
4072,
29936,
13,
4706,
396,
746,
278,
2793,
1134,
2407,
1603,
4864,
541,
694,
5520,
14637,
304,
385,
5923,
1904,
29889,
13,
4706,
1018,
29901,
13,
9651,
736,
10576,
1542,
29889,
12650,
29889,
657,
29918,
1454,
29918,
333,
29898,
1311,
29889,
3733,
962,
5676,
293,
29918,
312,
668,
29918,
333,
467,
4299,
29918,
1990,
580,
13,
4706,
5174,
23833,
2392,
29901,
13,
9651,
396,
15337,
529,
29896,
29889,
29953,
14725,
13,
9651,
736,
6213,
13,
13,
1678,
822,
679,
29918,
6370,
29918,
535,
9084,
29918,
8758,
29918,
1990,
29918,
333,
29898,
1311,
1125,
13,
4706,
1904,
29918,
1990,
353,
1583,
29889,
657,
29918,
6370,
29918,
8758,
29918,
1990,
580,
13,
4706,
565,
1904,
29918,
1990,
338,
6213,
29901,
13,
9651,
736,
6213,
13,
4706,
736,
10576,
1542,
29889,
12650,
29889,
657,
29918,
1454,
29918,
4299,
29898,
4299,
29918,
1990,
29892,
363,
29918,
535,
9084,
29918,
4299,
29922,
5574,
467,
20571,
13,
13,
1678,
822,
679,
29918,
6370,
29918,
535,
9084,
29918,
8758,
29918,
1990,
29898,
1311,
1125,
13,
4706,
1904,
29918,
1990,
353,
1583,
29889,
657,
29918,
6370,
29918,
8758,
29918,
1990,
580,
13,
4706,
565,
1904,
29918,
1990,
338,
6213,
29901,
13,
9651,
736,
6213,
13,
4706,
736,
10576,
1542,
29889,
12650,
29889,
657,
29918,
1454,
29918,
4299,
29898,
4299,
29918,
1990,
29892,
363,
29918,
535,
9084,
29918,
4299,
29922,
5574,
467,
4299,
29918,
1990,
580,
13,
13,
1678,
822,
679,
29918,
6370,
29918,
8758,
29898,
1311,
1125,
13,
4706,
9995,
29940,
555,
635,
451,
4312,
29889,
13,
4706,
960,
263,
1661,
29899,
3733,
962,
5676,
293,
8455,
313,
4561,
2967,
29918,
12650,
29897,
756,
1063,
1304,
304,
13,
4706,
10563,
3618,
29892,
769,
278,
4866,
1203,
411,
372,
29915,
29879,
1855,
770,
29914,
1853,
13,
4706,
322,
599,
4235,
1122,
367,
27387,
411,
445,
1158,
29889,
13,
4706,
7806,
1158,
1246,
24138,
697,
4833,
2346,
313,
361,
5181,
467,
15945,
29908,
13,
4706,
1855,
29918,
4299,
353,
1583,
29889,
657,
29918,
6370,
29918,
8758,
29918,
1990,
580,
13,
4706,
565,
1855,
29918,
4299,
1275,
1583,
17255,
1990,
1649,
29901,
13,
9651,
736,
1583,
13,
4706,
736,
1855,
29918,
4299,
29889,
12650,
29889,
657,
29898,
20571,
29922,
1311,
29889,
20571,
29897,
13,
13,
1678,
822,
4770,
2344,
12035,
1311,
29892,
334,
6389,
29892,
3579,
9049,
5085,
1125,
13,
4706,
9995,
20083,
15337,
29915,
29879,
20328,
2130,
272,
4509,
3168,
363,
1749,
1904,
13,
4706,
313,
1311,
17255,
1990,
1649,
29897,
411,
1749,
1914,
6910,
29889,
13,
4706,
1334,
1601,
1989,
13261,
963,
2745,
263,
13261,
508,
367,
2715,
304,
15337,
13,
4706,
313,
4716,
723,
3117,
367,
1407,
2319,
322,
1207,
599,
310,
445,
704,
2170,
371,
467,
13,
13,
4706,
960,
591,
505,
20328,
310,
278,
883,
8125,
29909,
1599,
8125,
29933,
1599,
3195,
29907,
769,
13,
4706,
15337,
10017,
2130,
943,
763,
445,
29901,
13,
4706,
448,
8125,
29909,
29901,
1904,
29890,
13,
4706,
448,
8125,
29933,
29901,
1904,
29874,
29918,
7414,
29892,
1904,
29890,
29892,
1904,
29883,
13,
4706,
448,
8125,
29907,
29901,
1904,
29874,
29918,
7414,
29892,
1904,
29890,
29892,
1904,
29890,
29918,
7414,
29892,
1904,
29883,
13,
13,
4706,
4525,
2130,
943,
2758,
15337,
313,
392,
14332,
1683,
29897,
304,
9850,
701,
322,
1623,
13,
4706,
278,
20328,
5447,
363,
278,
4833,
1203,
472,
1361,
29889,
13,
13,
4706,
450,
2441,
15337,
2130,
943,
671,
1749,
24324,
5676,
293,
8455,
29889,
13,
4706,
1205,
896,
881,
451,
29889,
1105,
591,
5191,
963,
411,
1749,
1914,
2130,
943,
393,
671,
13,
4706,
1749,
8210,
2967,
29918,
12650,
8455,
29889,
13,
4706,
9995,
13,
4706,
2428,
29898,
7713,
962,
5676,
293,
3195,
29892,
1583,
467,
1649,
2344,
1649,
10456,
5085,
29892,
3579,
9049,
5085,
29897,
13,
13,
4706,
565,
1583,
17255,
1990,
26914,
3733,
962,
5676,
293,
29918,
9136,
29918,
1491,
29918,
5943,
943,
29918,
3445,
433,
1133,
29901,
13,
9651,
736,
13,
4706,
1583,
17255,
1990,
26914,
3733,
962,
5676,
293,
29918,
9136,
29918,
1491,
29918,
5943,
943,
29918,
3445,
433,
1133,
353,
5852,
13,
13,
4706,
822,
1653,
29918,
5943,
272,
29918,
2220,
29918,
1454,
29918,
4299,
29898,
4299,
29892,
2130,
272,
29918,
978,
1125,
13,
9651,
822,
2130,
272,
29918,
2220,
29898,
1311,
1125,
13,
18884,
12421,
353,
1904,
29889,
3188,
29918,
12650,
29889,
657,
29898,
20571,
29922,
1311,
29889,
20571,
29897,
13,
18884,
736,
12421,
13,
9651,
736,
2130,
272,
29918,
2220,
13,
13,
4706,
1014,
13203,
29918,
392,
29918,
9136,
13203,
29918,
5943,
943,
353,
1583,
3032,
657,
29918,
262,
27069,
749,
29918,
23445,
29918,
9621,
29918,
392,
29918,
9794,
580,
13,
13,
4706,
515,
9557,
29889,
2585,
29889,
9794,
29889,
9621,
29889,
12817,
1053,
16740,
9662,
630,
2061,
19124,
29892,
830,
3901,
15771,
9662,
630,
2061,
19124,
13,
4706,
363,
1024,
29892,
1904,
297,
1014,
13203,
29918,
392,
29918,
9136,
13203,
29918,
5943,
943,
29889,
7076,
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] |
sbpl_perception/src/scripts/tools/fat_dataset/lib/pair_matching/data_pair.py | Tacha-S/perception | 17 | 52628 | <reponame>Tacha-S/perception<gh_stars>10-100
# --------------------------------------------------------
# Deep Iterative Matching Network
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Written by <NAME>, <NAME>
# --------------------------------------------------------
from __future__ import print_function, division
import numpy as np
import lib.utils.image as image
from lib.utils.image import (
get_pair_depth,
get_pair_image,
get_pair_flow,
get_point_cloud_model,
get_point_cloud_observed,
get_gt_observed_depth,
get_pair_mask,
my_tensor_vstack,
)
from lib.pair_matching.RT_transform import calc_RT_delta
def get_data_pair_test_batch(pairdb, config):
"""
return a dict of train batch
:param segdb: ['image', 'flipped']
:param config: the config setting
:return: data, label, im_info
"""
im_observed, im_rendered, scale_ind_list = get_pair_image(pairdb, config, "test")
if config.network.INPUT_DEPTH:
depth_observed, depth_rendered = get_pair_depth(
pairdb, config, scale_ind_list, "test"
)
if config.network.INPUT_MASK:
mask_observed, _, mask_rendered = get_pair_mask(
pairdb, config, scale_ind_list, "test"
)
im_info = [
np.array([pairdb[i]["height"], pairdb[i]["width"]], dtype=np.float32)
for i in range(len(pairdb))
]
num_pair = len(pairdb)
for i in range(num_pair):
class_index_tensor = [[] for i in range(num_pair)]
class_index_tensor[i] = np.array(
config.dataset.class_name.index(pairdb[i]["gt_class"])
).reshape(1)
class_index_array = my_tensor_vstack(class_index_tensor)
data = []
for i in range(len(pairdb)):
cur_batch = {
"image_observed": im_observed[i],
"image_rendered": im_rendered[i],
"src_pose": np.array(pairdb[i]["pose_rendered"]).reshape((1, 3, 4)),
"class_index": class_index_array,
}
if config.network.INPUT_DEPTH:
cur_batch["depth_observed"] = depth_observed[i]
cur_batch["depth_rendered"] = depth_rendered[i]
if config.network.INPUT_MASK:
cur_batch["mask_observed"] = mask_observed[i]
cur_batch["mask_rendered"] = mask_rendered[i]
data.append(cur_batch)
label = {}
return data, label, im_info
def update_data_batch(config, data_batch, update_package):
import mxnet.ndarray as nd
for ctx_idx, data in enumerate(data_batch.data):
package = update_package[ctx_idx]
for blob_idx, blob in enumerate(data):
blob_name = data_batch.provide_data[ctx_idx][blob_idx][0]
blob_shape = data_batch.provide_data[ctx_idx][blob_idx][1]
if blob_name not in package:
continue
update_data = package[blob_name]
if blob_name.startswith("image"):
target_size = min(blob_shape[2:])
max_size = max(blob_shape[2:])
image_update, _ = image.resize(update_data, target_size, max_size)
image_update = image.transform(image_update, config.network.PIXEL_MEANS)
image_update = nd.array(image_update)
data_batch.data[ctx_idx][blob_idx] = image_update
elif blob_name.startswith("src_pose"):
src_pose_update = nd.array(update_data[np.newaxis, :, :])
data_batch.data[ctx_idx][blob_idx] = src_pose_update
elif blob_name.startswith("depth"):
target_size = min(blob_shape[2:])
max_size = max(blob_shape[2:])
depth_update, _ = image.resize(update_data, target_size, max_size)
depth_update = nd.array(depth_update[np.newaxis, np.newaxis, :, :])
data_batch.data[ctx_idx][blob_idx] = depth_update
elif blob_name.startswith("mask_observed"):
if config.TEST.UPDATE_MASK == "box_rendered":
update_data = np.copy(package["mask_rendered"])
mask_observed = np.zeros(update_data.shape)
x_max = np.max(update_data, 0)
y_max = np.max(update_data, 1)
nz_x = np.nonzero(x_max)[0]
nz_y = np.nonzero(y_max)[0]
x_start = np.min(nz_x)
x_end = np.max(nz_x)
y_start = np.min(nz_y)
y_end = np.max(nz_y)
mask_observed[y_start:y_end, x_start:x_end] = 1.0 # rectangle
elif config.TEST.UPDATE_MASK == "box_observed":
mask_observed = np.zeros(update_data.shape)
x_max = np.max(update_data, 0)
y_max = np.max(update_data, 1)
nz_x = np.nonzero(x_max)[0]
nz_y = np.nonzero(y_max)[0]
if len(nz_x) == 0 or len(nz_y) == 0:
raise Exception("no point valid in mask_observed")
x_start = np.min(nz_x)
x_end = np.max(nz_x)
y_start = np.min(nz_y)
y_end = np.max(nz_y)
mask_observed[y_start:y_end, x_start:x_end] = 1.0 # rectangle
else:
mask_observed = update_data
mask_update = nd.array(mask_observed[np.newaxis, np.newaxis, :, :])
data_batch.data[ctx_idx][blob_idx] = mask_update
elif blob_name.startswith("mask_rendered"):
mask_update = nd.array(update_data[np.newaxis, np.newaxis, :, :])
data_batch.data[ctx_idx][blob_idx] = mask_update
else:
raise Exception("NOT_IMPLEMENTED")
return data_batch
point_clound_dict = []
def get_data_pair_train_batch(pairdb, config):
"""
return a dict of train batch
:param pairdb: ['image_observed', 'image_rendered', 'height', 'width',
'depth_observed', 'depth_rendered', 'pose_observed', 'pose_rendered',
'flipped']
:param config: ['INTRINSIC_MATRIX', 'DEPTH_FACTOR', ...]
:return: data: ['image_observed', 'image_rendered', 'depth_observed', 'depth_rendered']
label: ['flow', 'flow_weights'(RT)]
"""
num_pair = len(pairdb)
random_k = np.random.randint(18)
im_observed, im_rendered, scale_ind_list = get_pair_image(
pairdb, config, phase="train", random_k=random_k
)
depth_gt_observed = get_gt_observed_depth(
pairdb, config, scale_ind_list, random_k=random_k
)
if config.network.INPUT_DEPTH:
depth_observed, depth_rendered = get_pair_depth(
pairdb, config, scale_ind_list, phase="train", random_k=random_k
)
if config.network.PRED_MASK or config.network.INPUT_MASK:
mask_observed, mask_gt_observed, mask_rendered = get_pair_mask(
pairdb, config, scale_ind_list, phase="train", random_k=random_k
)
im_observed_array = my_tensor_vstack(im_observed)
im_rendered_array = my_tensor_vstack(im_rendered)
depth_gt_observed_array = my_tensor_vstack(depth_gt_observed)
if config.network.INPUT_DEPTH:
depth_observed_array = my_tensor_vstack(depth_observed)
depth_rendered_array = my_tensor_vstack(depth_rendered)
if config.network.INPUT_MASK or config.network.PRED_MASK:
mask_observed_array = my_tensor_vstack(mask_observed)
mask_gt_observed_array = my_tensor_vstack(mask_gt_observed)
mask_rendered_array = my_tensor_vstack(mask_rendered)
if config.network.PRED_FLOW:
flow_i2r, flow_i2r_weights, X_rendered_tensor, X_observed_tensor = get_pair_flow(
pairdb, config, scale_ind_list, phase="train", random_k=random_k
)
flow_i2r_array = my_tensor_vstack(flow_i2r)
flow_i2r_weights_array = my_tensor_vstack(flow_i2r_weights)
if config.train_iter.SE3_PM_LOSS:
X_obj, X_obj_weights = get_point_cloud_model(config, pairdb)
X_obj_array = my_tensor_vstack(X_obj)
X_obj_weights_array = my_tensor_vstack(X_obj_weights)
# SE3
rot_i2r_tensor = [[] for i in range(num_pair)]
trans_i2r_tensor = [[] for i in range(num_pair)]
src_pose_tensor = [[] for i in range(num_pair)]
tgt_pose_tensor = [[] for i in range(num_pair)]
tgt_points_tensor = [[] for i in range(num_pair)]
for i in range(num_pair):
rot_i2r, trans_i2r = calc_RT_delta(
pairdb[i]["pose_rendered"],
pairdb[i]["pose_observed"],
config.dataset.trans_means,
config.dataset.trans_stds,
config.network.ROT_COORD,
config.network.ROT_TYPE,
)
rot_i2r_tensor[i] = np.array(rot_i2r).reshape((1, -1))
trans_i2r_tensor[i] = np.array(trans_i2r).reshape((1, -1))
src_pose_tensor[i] = np.array(pairdb[i]["pose_rendered"]).reshape((1, 3, 4))
tgt_pose_tensor[i] = np.array(pairdb[i]["pose_observed"]).reshape((1, 3, 4))
if config.train_iter.SE3_PM_LOSS:
tgt_points = get_point_cloud_observed(
config,
X_obj_array[i],
pose_observed=np.array(pairdb[i]["pose_observed"]),
)
tgt_points_tensor[i] = np.expand_dims(tgt_points, axis=0) # (1, 3, 3000)
rot_i2r_array = my_tensor_vstack(rot_i2r_tensor)
trans_i2r_array = my_tensor_vstack(trans_i2r_tensor)
src_pose_array = my_tensor_vstack(src_pose_tensor) # before refinment
tgt_pose_array = my_tensor_vstack(tgt_pose_tensor) # refinement target
tgt_points_array = my_tensor_vstack(tgt_points_tensor)
for i in range(num_pair):
class_index_tensor = [[] for i in range(num_pair)]
class_index_tensor[i] = np.array(
config.dataset.class_name.index(pairdb[i]["gt_class"])
).reshape(num_pair)
class_index_array = my_tensor_vstack(class_index_tensor)
data = {
"image_observed": im_observed_array,
"image_rendered": im_rendered_array,
"depth_gt_observed": depth_gt_observed_array,
"class_index": class_index_array,
"src_pose": src_pose_array,
"tgt_pose": tgt_pose_array,
}
if config.network.INPUT_DEPTH:
data["depth_observed"] = depth_observed_array
data["depth_rendered"] = depth_rendered_array
if config.network.INPUT_MASK:
data["mask_observed"] = mask_observed_array
data["mask_rendered"] = mask_rendered_array
label = {"rot": rot_i2r_array, "trans": trans_i2r_array}
if config.network.PRED_MASK:
label["mask_gt_observed"] = mask_gt_observed_array
if config.network.PRED_FLOW:
label["flow"] = flow_i2r_array
label["flow_weights"] = flow_i2r_weights_array
if config.train_iter.SE3_PM_LOSS:
label["point_cloud_model"] = X_obj_array
label["point_cloud_weights"] = X_obj_weights_array
label["point_cloud_observed"] = tgt_points_array
return {"data": data, "label": label}
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Codewars/8kyu/return-negative/Python/test.py | RevansChen/online-judge | 7 | 138749 | # Python - 3.6.0
Test.assert_equals(make_negative(42), -42)
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src/natural/preprocess.py | snemvalts/line-chart-captioning | 0 | 92317 | <gh_stars>0
from os import listdir
from os.path import isfile, join
import csv
import pathlib
import re
from shutil import copyfile
broken_images = ["50", "71", "85", "95", "115", "159",
"237", "298", "345", "354", "455", "475", "510", "517",
"554", "609", "700", "748", "750", "815", "845", "868",
"875", "911", "928", "1016", "1054", "1058", "1213", "1281",
"1317", "1326", "1406", "1527", "1553", "1563", "1683", "1690",
"1736", "1801", "1884", "1885", "1929", "1939", "2041", "2046",
"2077", "2098", "2159", "2191", "2246", "2295", "2312", "2318",
"2331", "2562", "2572", "2639", "2648", "2657", "2707", "2780",
"2788", "2824", "2859", "2920", "3026", "3178", "3282", "3342",
"3354", "3357", "3366", "3493", "3520", "3582", "3583", "3598",
"3636", "3975", "4048", "4078", "4154", "4165", "4169", "4182",
"4340", "4365", "4434", "4447", "4469", "4478", "4499", "4511",
"4544", "4549", "4585", "4619", "4828", "4912", "4913", "4938",
"5013", "5052", "5055", "5070", "5097", "5098", "5106", "5111",
"5324", "5360", "5406", "5408", "5411", "5548", "5608", "5706",
"5732", "5761", "5790", "5872", "5897", "5951", "5979", "6013",
"6062", "6069", "6097", "6100", "6203", "6272", "6274", "6324",
"6343", "6430", "6541", "6564", "6568", "6617", "6623", "6668",
"6683", "6756"]
USE_TRAIN = True
# only year based are line graphs, same definition in chart2text
def is_line_graph(data):
return data[0][0].lower() == "year"
dataset_folder = "data/charttotext/"
data_folder = join(dataset_folder, "data")
captions_folder = join(dataset_folder, "captions")
data_files = [f for f in listdir(data_folder) if isfile(join(data_folder, f))]
caption_files = [f for f in listdir(captions_folder) if isfile(join(captions_folder, f))]
data_caption_pairing = {}
print("reading data files...")
for data_file_name in data_files:
data_file_path = join(data_folder, data_file_name)
data_number = data_file_name.split(".csv")[0]
with open(data_file_path, 'r') as data_file:
data_file_reader = csv.reader(data_file)
data = list(data_file_reader)
if(is_line_graph(data) and data_number not in broken_images):
data_caption_pairing[data_number] = [data]
# add captions to same dict,
for caption_file_name in caption_files:
caption_number = caption_file_name.split(".txt")[0]
if(caption_number in data_caption_pairing):
caption_file_path = join(captions_folder, caption_file_name)
with open(caption_file_path, 'r') as caption_file:
caption = "".join(caption_file.readlines()).rstrip()
data_caption_pairing[caption_number].append(caption)
# every data should have a caption
assert all(map(lambda pair: len(pair) == 2, data_caption_pairing.values()))
pathlib.Path("data/processed_natural/images").mkdir(parents=True, exist_ok=True)
def clean_table_data(table_data):
new_table_data = []
for row in table_data:
year = int(re.sub("[^0-9]", "", row[0]))
data = float(re.sub("[^0-9\.]", "", row[1]))
new_table_data.append([year, data])
return new_table_data
keys_and_captions = []
for key in list(data_caption_pairing.keys()):
raw_data = data_caption_pairing[key][0]
caption = data_caption_pairing[key][1]
keys_and_captions.append([key, caption])
copyfile(f"{dataset_folder}/matplot/{key}.png", f"data/processed_natural/images/{key}.png")
with open("data/processed_natural/captions.csv", mode="w") as captions_file:
captions_writer = csv.writer(captions_file)
captions_writer.writerow(['number', 'caption'])
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] |
Algorithm.Python/stubs/QuantConnect/Indicators/__CandlestickPatterns_1.py | gaoxiaojun/Lean | 2 | 41933 | from .__CandlestickPatterns_2 import *
import typing
import QuantConnect.Indicators.CandlestickPatterns
import datetime
class DojiStar(QuantConnect.Indicators.CandlestickPatterns.CandlestickPattern, System.IComparable, QuantConnect.Indicators.IIndicator[IBaseDataBar], QuantConnect.Indicators.IIndicator, System.IComparable[IIndicator[IBaseDataBar]]):
"""
Doji Star candlestick pattern indicator
DojiStar(name: str)
DojiStar()
"""
def Reset(self) -> None:
pass
@typing.overload
def __init__(self, name: str) -> QuantConnect.Indicators.CandlestickPatterns.DojiStar:
pass
@typing.overload
def __init__(self) -> QuantConnect.Indicators.CandlestickPatterns.DojiStar:
pass
def __init__(self, *args) -> QuantConnect.Indicators.CandlestickPatterns.DojiStar:
pass
IsReady: bool
class DragonflyDoji(QuantConnect.Indicators.CandlestickPatterns.CandlestickPattern, System.IComparable, QuantConnect.Indicators.IIndicator[IBaseDataBar], QuantConnect.Indicators.IIndicator, System.IComparable[IIndicator[IBaseDataBar]]):
"""
Dragonfly Doji candlestick pattern indicator
DragonflyDoji(name: str)
DragonflyDoji()
"""
def Reset(self) -> None:
pass
@typing.overload
def __init__(self, name: str) -> QuantConnect.Indicators.CandlestickPatterns.DragonflyDoji:
pass
@typing.overload
def __init__(self) -> QuantConnect.Indicators.CandlestickPatterns.DragonflyDoji:
pass
def __init__(self, *args) -> QuantConnect.Indicators.CandlestickPatterns.DragonflyDoji:
pass
IsReady: bool
class Engulfing(QuantConnect.Indicators.CandlestickPatterns.CandlestickPattern, System.IComparable, QuantConnect.Indicators.IIndicator[IBaseDataBar], QuantConnect.Indicators.IIndicator, System.IComparable[IIndicator[IBaseDataBar]]):
"""
Engulfing candlestick pattern
Engulfing(name: str)
Engulfing()
"""
@typing.overload
def __init__(self, name: str) -> QuantConnect.Indicators.CandlestickPatterns.Engulfing:
pass
@typing.overload
def __init__(self) -> QuantConnect.Indicators.CandlestickPatterns.Engulfing:
pass
def __init__(self, *args) -> QuantConnect.Indicators.CandlestickPatterns.Engulfing:
pass
IsReady: bool
class EveningDojiStar(QuantConnect.Indicators.CandlestickPatterns.CandlestickPattern, System.IComparable, QuantConnect.Indicators.IIndicator[IBaseDataBar], QuantConnect.Indicators.IIndicator, System.IComparable[IIndicator[IBaseDataBar]]):
"""
Evening Doji Star candlestick pattern
EveningDojiStar(name: str, penetration: Decimal)
EveningDojiStar(penetration: Decimal)
EveningDojiStar()
"""
def Reset(self) -> None:
pass
@typing.overload
def __init__(self, name: str, penetration: float) -> QuantConnect.Indicators.CandlestickPatterns.EveningDojiStar:
pass
@typing.overload
def __init__(self, penetration: float) -> QuantConnect.Indicators.CandlestickPatterns.EveningDojiStar:
pass
@typing.overload
def __init__(self) -> QuantConnect.Indicators.CandlestickPatterns.EveningDojiStar:
pass
def __init__(self, *args) -> QuantConnect.Indicators.CandlestickPatterns.EveningDojiStar:
pass
IsReady: bool
class EveningStar(QuantConnect.Indicators.CandlestickPatterns.CandlestickPattern, System.IComparable, QuantConnect.Indicators.IIndicator[IBaseDataBar], QuantConnect.Indicators.IIndicator, System.IComparable[IIndicator[IBaseDataBar]]):
"""
Evening Star candlestick pattern
EveningStar(name: str, penetration: Decimal)
EveningStar(penetration: Decimal)
EveningStar()
"""
def Reset(self) -> None:
pass
@typing.overload
def __init__(self, name: str, penetration: float) -> QuantConnect.Indicators.CandlestickPatterns.EveningStar:
pass
@typing.overload
def __init__(self, penetration: float) -> QuantConnect.Indicators.CandlestickPatterns.EveningStar:
pass
@typing.overload
def __init__(self) -> QuantConnect.Indicators.CandlestickPatterns.EveningStar:
pass
def __init__(self, *args) -> QuantConnect.Indicators.CandlestickPatterns.EveningStar:
pass
IsReady: bool
class GapSideBySideWhite(QuantConnect.Indicators.CandlestickPatterns.CandlestickPattern, System.IComparable, QuantConnect.Indicators.IIndicator[IBaseDataBar], QuantConnect.Indicators.IIndicator, System.IComparable[IIndicator[IBaseDataBar]]):
"""
Up/Down-gap side-by-side white lines candlestick pattern
GapSideBySideWhite(name: str)
GapSideBySideWhite()
"""
def Reset(self) -> None:
pass
@typing.overload
def __init__(self, name: str) -> QuantConnect.Indicators.CandlestickPatterns.GapSideBySideWhite:
pass
@typing.overload
def __init__(self) -> QuantConnect.Indicators.CandlestickPatterns.GapSideBySideWhite:
pass
def __init__(self, *args) -> QuantConnect.Indicators.CandlestickPatterns.GapSideBySideWhite:
pass
IsReady: bool
class GravestoneDoji(QuantConnect.Indicators.CandlestickPatterns.CandlestickPattern, System.IComparable, QuantConnect.Indicators.IIndicator[IBaseDataBar], QuantConnect.Indicators.IIndicator, System.IComparable[IIndicator[IBaseDataBar]]):
"""
Gravestone Doji candlestick pattern indicator
GravestoneDoji(name: str)
GravestoneDoji()
"""
def Reset(self) -> None:
pass
@typing.overload
def __init__(self, name: str) -> QuantConnect.Indicators.CandlestickPatterns.GravestoneDoji:
pass
@typing.overload
def __init__(self) -> QuantConnect.Indicators.CandlestickPatterns.GravestoneDoji:
pass
def __init__(self, *args) -> QuantConnect.Indicators.CandlestickPatterns.GravestoneDoji:
pass
IsReady: bool
class Hammer(QuantConnect.Indicators.CandlestickPatterns.CandlestickPattern, System.IComparable, QuantConnect.Indicators.IIndicator[IBaseDataBar], QuantConnect.Indicators.IIndicator, System.IComparable[IIndicator[IBaseDataBar]]):
"""
Hammer candlestick pattern indicator
Hammer(name: str)
Hammer()
"""
def Reset(self) -> None:
pass
@typing.overload
def __init__(self, name: str) -> QuantConnect.Indicators.CandlestickPatterns.Hammer:
pass
@typing.overload
def __init__(self) -> QuantConnect.Indicators.CandlestickPatterns.Hammer:
pass
def __init__(self, *args) -> QuantConnect.Indicators.CandlestickPatterns.Hammer:
pass
IsReady: bool
class HangingMan(QuantConnect.Indicators.CandlestickPatterns.CandlestickPattern, System.IComparable, QuantConnect.Indicators.IIndicator[IBaseDataBar], QuantConnect.Indicators.IIndicator, System.IComparable[IIndicator[IBaseDataBar]]):
"""
Hanging Man candlestick pattern indicator
HangingMan(name: str)
HangingMan()
"""
def Reset(self) -> None:
pass
@typing.overload
def __init__(self, name: str) -> QuantConnect.Indicators.CandlestickPatterns.HangingMan:
pass
@typing.overload
def __init__(self) -> QuantConnect.Indicators.CandlestickPatterns.HangingMan:
pass
def __init__(self, *args) -> QuantConnect.Indicators.CandlestickPatterns.HangingMan:
pass
IsReady: bool
class Harami(QuantConnect.Indicators.CandlestickPatterns.CandlestickPattern, System.IComparable, QuantConnect.Indicators.IIndicator[IBaseDataBar], QuantConnect.Indicators.IIndicator, System.IComparable[IIndicator[IBaseDataBar]]):
"""
Harami candlestick pattern indicator
Harami(name: str)
Harami()
"""
def Reset(self) -> None:
pass
@typing.overload
def __init__(self, name: str) -> QuantConnect.Indicators.CandlestickPatterns.Harami:
pass
@typing.overload
def __init__(self) -> QuantConnect.Indicators.CandlestickPatterns.Harami:
pass
def __init__(self, *args) -> QuantConnect.Indicators.CandlestickPatterns.Harami:
pass
IsReady: bool
class HaramiCross(QuantConnect.Indicators.CandlestickPatterns.CandlestickPattern, System.IComparable, QuantConnect.Indicators.IIndicator[IBaseDataBar], QuantConnect.Indicators.IIndicator, System.IComparable[IIndicator[IBaseDataBar]]):
"""
Harami Cross candlestick pattern indicator
HaramiCross(name: str)
HaramiCross()
"""
def Reset(self) -> None:
pass
@typing.overload
def __init__(self, name: str) -> QuantConnect.Indicators.CandlestickPatterns.HaramiCross:
pass
@typing.overload
def __init__(self) -> QuantConnect.Indicators.CandlestickPatterns.HaramiCross:
pass
def __init__(self, *args) -> QuantConnect.Indicators.CandlestickPatterns.HaramiCross:
pass
IsReady: bool
class HighWaveCandle(QuantConnect.Indicators.CandlestickPatterns.CandlestickPattern, System.IComparable, QuantConnect.Indicators.IIndicator[IBaseDataBar], QuantConnect.Indicators.IIndicator, System.IComparable[IIndicator[IBaseDataBar]]):
"""
High-Wave Candle candlestick pattern indicator
HighWaveCandle(name: str)
HighWaveCandle()
"""
def Reset(self) -> None:
pass
@typing.overload
def __init__(self, name: str) -> QuantConnect.Indicators.CandlestickPatterns.HighWaveCandle:
pass
@typing.overload
def __init__(self) -> QuantConnect.Indicators.CandlestickPatterns.HighWaveCandle:
pass
def __init__(self, *args) -> QuantConnect.Indicators.CandlestickPatterns.HighWaveCandle:
pass
IsReady: bool
class Hikkake(QuantConnect.Indicators.CandlestickPatterns.CandlestickPattern, System.IComparable, QuantConnect.Indicators.IIndicator[IBaseDataBar], QuantConnect.Indicators.IIndicator, System.IComparable[IIndicator[IBaseDataBar]]):
"""
Hikkake candlestick pattern
Hikkake(name: str)
Hikkake()
"""
def Reset(self) -> None:
pass
@typing.overload
def __init__(self, name: str) -> QuantConnect.Indicators.CandlestickPatterns.Hikkake:
pass
@typing.overload
def __init__(self) -> QuantConnect.Indicators.CandlestickPatterns.Hikkake:
pass
def __init__(self, *args) -> QuantConnect.Indicators.CandlestickPatterns.Hikkake:
pass
IsReady: bool
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dependency/libgit/pygit2-0.21.4/pygit2/blame.py | RangHo/pini-engine | 0 | 140483 | # -*- coding: utf-8 -*-
#
# Copyright 2010-2014 The pygit2 contributors
#
# This file is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License, version 2,
# as published by the Free Software Foundation.
#
# In addition to the permissions in the GNU General Public License,
# the authors give you unlimited permission to link the compiled
# version of this file into combinations with other programs,
# and to distribute those combinations without any restriction
# coming from the use of this file. (The General Public License
# restrictions do apply in other respects; for example, they cover
# modification of the file, and distribution when not linked into
# a combined executable.)
#
# This file 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; see the file COPYING. If not, write to
# the Free Software Foundation, 51 Franklin Street, Fifth Floor,
# Boston, MA 02110-1301, USA.
# Import from the future
from __future__ import absolute_import, unicode_literals
# Import from pygit2
from .errors import check_error
from .ffi import ffi, C
from .utils import to_bytes, is_string, to_str
from _pygit2 import Signature, Oid
def wrap_signature(csig):
if not csig:
return None
return Signature(ffi.string(csig.name).decode('utf-8'),
ffi.string(csig.email).decode('utf-8'),
csig.when.time, csig.when.offset, 'utf-8')
class BlameHunk(object):
@classmethod
def _from_c(cls, blame, ptr):
hunk = cls.__new__(cls)
hunk._blame = blame
hunk._hunk = ptr
return hunk
@property
def lines_in_hunk(self):
"""Number of lines"""
return self._hunk.lines_in_hunk
@property
def boundary(self):
"""Tracked to a boundary commit"""
# Casting directly to bool via cffi does not seem to work
return int(ffi.cast('int', self._hunk.boundary)) != 0
@property
def final_start_line_number(self):
"""Final start line number"""
return self._hunk.final_start_line_number
@property
def final_committer(self):
"""Final committer"""
return wrap_signature(self._hunk.final_signature)
@property
def final_commit_id(self):
return Oid(raw=bytes(ffi.buffer(ffi.addressof(self._hunk, 'final_commit_id'))[:]))
@property
def orig_start_line_number(self):
"""Origin start line number"""
return self._hunk.orig_start_line_number
@property
def orig_committer(self):
"""Original committer"""
return wrap_signature(self._hunk.orig_signature)
@property
def orig_commit_id(self):
return Oid(raw=bytes(ffi.buffer(ffi.addressof(self._hunk, 'orig_commit_id'))[:]))
@property
def orig_path(self):
"""Original path"""
path = self._hunk.orig_path
if not path:
return None
return ffi.string(path).decode()
class Blame(object):
@classmethod
def _from_c(cls, repo, ptr):
blame = cls.__new__(cls)
blame._repo = repo
blame._blame = ptr
return blame
def __del__(self):
C.git_blame_free(self._blame)
def __len__(self):
return C.git_blame_get_hunk_count(self._blame)
def __getitem__(self, index):
chunk = C.git_blame_get_hunk_byindex(self._blame, index)
if not chunk:
raise IndexError
return BlameHunk._from_c(self, chunk)
def for_line(self, line_no):
"""for_line(line_no) -> BlameHunk
Returns the blame hunk data for a given line given its number
in the current Blame.
Arguments:
line_no
Line number, starts at 1.
"""
if line_no < 0:
raise IndexError
chunk = C.git_blame_get_hunk_byline(self._blame, line_no)
if not chunk:
raise IndexError
return BlameHunk._from_c(self, chunk)
class BlameIterator(object):
def __init__(self, blame):
self._count = len(blame)
self._index = 0
self._blame = blame
def __next__(self):
if self._index >= self._count:
raise StopIteration
hunk = self._blame[self._blame]
self._index += 1
return hunk
def next(self):
return self.__next__()
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] |
examples/context_eddystone_beacon.py | ddunmire/python-bleson | 103 | 116460 | #!/usr/bin/env python3
import sys
from time import sleep
from bleson import get_provider, EddystoneBeacon
# Get the wait time from the first script argument or default it to 10 seconds
WAIT_TIME = int(sys.argv[1]) if len(sys.argv)>1 else 10
with EddystoneBeacon(get_provider().get_adapter(), 'https://www.bluetooth.com/'):
sleep(WAIT_TIME)
| [
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pytorchrl/agent/env/env_wrappers.py | PyTorchRL/pytorchrl | 20 | 53119 | import gym
from gym.spaces.box import Box
class TransposeImagesIfRequired(gym.ObservationWrapper):
"""
When environment observations are images, this wrapper transposes
the axis. It is useful when the images have shape (W,H,C), as they can be
transposed "on the fly" to (C,W,H) for PyTorch convolutions to be applied.
Parameters
----------
env : gym.Env
Original Gym environment, previous to applying the wrapper.
op : list
New axis ordering.
"""
def __init__(self, env=None, op=[2, 0, 1]):
"""Transpose observation space for images"""
super(TransposeImagesIfRequired, self).__init__(env)
self.op = op
if isinstance(self.observation_space, gym.spaces.Box) and \
len(self.observation_space.shape) == 3:
obs_shape = self.observation_space.shape
self.observation_space = Box(
self.observation_space.low[0, 0, 0],
self.observation_space.high[0, 0, 0],
[obs_shape[self.op[0]], obs_shape[self.op[1]], obs_shape[self.op[2]]],
dtype=self.observation_space.dtype)
elif isinstance(self.observation_space, gym.spaces.Dict):
for k in self.observation_space.spaces:
if isinstance(self.observation_space[k], gym.spaces.Box) and \
len(self.observation_space[k].shape) == 3:
obs_shape = self.observation_space[k].shape
self.observation_space[k] = Box(
self.observation_space[k].low[0, 0, 0],
self.observation_space[k].high[0, 0, 0],
[obs_shape[self.op[0]], obs_shape[self.op[1]], obs_shape[self.op[2]]],
dtype=self.observation_space.dtype)
def observation(self, ob):
"""Transpose observation"""
if isinstance(ob, dict):
for k in ob:
if len(ob[k].shape) == 3:
ob[k] = ob[k].transpose(self.op[0], self.op[1], self.op[2])
else:
if len(ob.shape) == 3:
ob = ob.transpose(self.op[0], self.op[1], self.op[2])
return ob | [
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] |
Ex25.py | CarlosDouradoPGR/PythonBR-EstruturasDecs | 0 | 21429 | print('Interrogando um suspeito: ')
pg1 = str(input("Telefonou para a vítma?(S/N)\n").upper().strip())
pg2 = str(input('Esteve no local do crime?(S/N)\n').upper().strip())
pg3 = str(input('Mora perto da vítma?(S/N)\n').upper().strip())
pg4 = str(input('Devia para a vítma?(S/N)\n').upper().strip())
pg5 = str(input('Já trabalhou com a vítma?(S/N\n').upper().strip())
lst = [pg1, pg2, pg3, pg4, pg5].count('S')
if 3 > lst >= 2 :
print('Suspeita')
elif lst == 3 or lst == 4:
print('Cúmplice')
elif lst == 5:
print('Assassino')
else:
print('Inocente')
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] |
examples/python/00-list-devices.py | vishal-prgmr/tiscamera | 0 | 13564 | #!/usr/bin/env python3
# Copyright 2017 The Imaging Source Europe GmbH
#
# 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.
#
# This example will show you how to list information about the available devices
#
import sys
import gi
gi.require_version("Tcam", "0.1")
gi.require_version("Gst", "1.0")
from gi.repository import Tcam, Gst
def list_devices():
"""
Print information about all available devices
"""
source = Gst.ElementFactory.make("tcambin")
serials = source.get_device_serials()
for single_serial in serials:
# This returns someting like:
# (True,
# name='DFK Z12GP031',
# identifier='The Imaging Source Europe GmbH-11410533',
# connection_type='aravis')
# The identifier is the name given by the backend
# The connection_type identifies the backend that is used.
# Currently 'aravis', 'v4l2', 'libusb' and 'unknown' exist
(return_value, model,
identifier, connection_type) = source.get_device_info(single_serial)
# return value would be False when a non-existant serial is used
# since we are iterating get_device_serials this should not happen
if return_value:
print("Model: {} Serial: {} Type: {}".format(model,
single_serial,
connection_type))
if __name__ == "__main__":
Gst.init(sys.argv) # init gstreamer
list_devices()
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edg/SchematicStubGenerator.py | tengisd/PolymorphicBlocks | 0 | 1601803 | <gh_stars>0
from typing import List, Tuple, Dict, Set
from edg_core import TransformUtil
from electronics_model import Netlist
import zlib # for a deterministic hash
import os
def _schematic_instantiation(name: str, type_name: str) -> str:
return f"""
$Sheet
S 0 0 0 0
U {name}
F0 "{name}" 0
F1 "{type_name}.sch" 0
$EndSheet
"""
def _schematic_contents(children: List[Tuple[str, str]]) -> str: # name -> type
child_strs = '\n\n'.join([_schematic_instantiation(name, type_name) for name, type_name in children])
return f"""
EESchema Schematic File Version 2
EELAYER 25 0
EELAYER END
{child_strs}
$EndSCHEMATC
"""
def write_schematic_stubs(netlist: Netlist, target_dir: str, top_target_name: str):
block_contents: Dict[TransformUtil.Path, List[TransformUtil.Path]] = {} # block name -> list of internal blocks
for path, block_type in netlist.types.items():
if path.blocks:
parent_blocks = path.blocks[:-1]
parent_path = TransformUtil.Path(parent_blocks, (), (), ())
block_contents.setdefault(parent_path, []).append(path)
block_contents = {path: sorted(contents) for path, contents in block_contents.items()}
block_types: Dict[TransformUtil.Path, Tuple[str, int]] = {} # block name -> block type, hash of children
def get_block_type(path: TransformUtil.Path) -> Tuple[str, int]:
if path in block_types:
return block_types[path]
if path not in block_contents:
return "", 0 # leaf block
content_types = [(subblock.blocks[-1], get_block_type(subblock)) for subblock in block_contents[path]
if not subblock.blocks[-1].startswith('(bridge)') and
not subblock.blocks[-1].startswith('(adapter)')]
content_str = str.encode(str(content_types))
block_types[path] = netlist.types[path], zlib.adler32(content_str) # TODO maybe use pickle
return block_types[path]
seen_types: Set[Tuple[str, int]] = set()
def to_type_str(type_name: str, hash: int) -> str:
return (type_name + ('_%08X' % hash)).replace('.', '_')
for path, contents in block_contents.items():
block_type_tup = get_block_type(path)
if block_type_tup in seen_types:
continue
seen_types.add(block_type_tup)
if not path.blocks:
sch_name = top_target_name
else:
sch_name = to_type_str(*block_type_tup)
children = [(subblock_path.blocks[-1], to_type_str(*get_block_type(subblock_path))) for subblock_path in contents
if subblock_path in block_types]
with open(os.path.join(target_dir, f'{sch_name}.sch'), 'w') as sch_file:
sch_file.write(_schematic_contents(children))
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setup.py | practicalci/nuitka-setuptools | 0 | 116487 | import os
import sys
from setuptools import setup
with open(os.path.join(os.path.dirname(__file__), 'README.rst')) as readme:
long_description = readme.read()
install_requires = ['nuitka>=0.6<0.7', ]
PY2 = sys.version_info[0] == 2
if PY2:
install_requires.append('pathlib2')
setup(
name='nuitka_setuptools2',
version='3.0.0',
py_modules=['nuitka_setuptools'],
description='Extension to setuptools to run your package through nuitka to '
'produce compiled, faster, obfuscated binary modules.',
long_description=long_description,
author='<NAME>',
author_email='<EMAIL>',
url='https://github.com/practicalci/nuitka-setuptools',
include_package_data=True,
install_requires=install_requires,
)
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holoviews/tests/plotting/bokeh/test_geomplot.py | TheoMathurin/holoviews | 864 | 66576 | from unittest import SkipTest
from holoviews.core import NdOverlay
from holoviews.core.util import pd
from holoviews.element import Segments
from .test_plot import TestBokehPlot, bokeh_renderer
try:
from bokeh.models import FactorRange
except:
pass
class TestSegmentPlot(TestBokehPlot):
def test_segments_color_selection_nonselection(self):
opts = dict(color='green', selection_color='red', nonselection_color='blue')
segments = Segments([(i, i*2, i*3, i*4, i*5, chr(65+i)) for i in range(10)],
vdims=['a', 'b']).opts(**opts)
plot = bokeh_renderer.get_plot(segments)
glyph_renderer = plot.handles['glyph_renderer']
self.assertEqual(glyph_renderer.glyph.line_color, 'green')
self.assertEqual(glyph_renderer.selection_glyph.line_color, 'red')
self.assertEqual(glyph_renderer.nonselection_glyph.line_color, 'blue')
def test_segments_alpha_selection_nonselection(self):
opts = dict(alpha=0.8, selection_alpha=1.0, nonselection_alpha=0.2)
segments = Segments([(i, i*2, i*3, i*4, i*5, chr(65+i)) for i in range(10)],
vdims=['a', 'b']).opts(**opts)
plot = bokeh_renderer.get_plot(segments)
glyph_renderer = plot.handles['glyph_renderer']
self.assertEqual(glyph_renderer.glyph.line_alpha, 0.8)
self.assertEqual(glyph_renderer.selection_glyph.line_alpha, 1)
self.assertEqual(glyph_renderer.nonselection_glyph.line_alpha, 0.2)
def test_segments_overlay_hover(self):
obj = NdOverlay({
i: Segments((range(31), range(31),range(1, 32), range(31)))
for i in range(5)
}, kdims=['Test']).opts({'Segments': {'tools': ['hover']}})
tooltips = [
('Test', '@{Test}'),
('x0', '@{x0}'),
('y0', '@{y0}'),
('x1', '@{x1}'),
('y1', '@{y1}')
]
self._test_hover_info(obj, tooltips)
def test_segments_overlay_datetime_hover(self):
if pd is None:
raise SkipTest("Test requires pandas")
obj = NdOverlay({
i: Segments((
list(pd.date_range('2016-01-01', '2016-01-31')),
range(31),
pd.date_range('2016-01-02', '2016-02-01'),
range(31)
))
for i in range(5)
}, kdims=['Test']).opts({'Segments': {'tools': ['hover']}})
tooltips = [
('Test', '@{Test}'),
('x0', '@{x0}{%F %T}'),
('y0', '@{y0}'),
('x1', '@{x1}{%F %T}'),
('y1', '@{y1}')
]
formatters = {'@{x0}': "datetime", '@{x1}': "datetime"}
self._test_hover_info(obj, tooltips, formatters=formatters)
def test_segments_categorical_xaxis(self):
segments = Segments((['A', 'B', 'C'], [1, 2, 3], ['A', 'B', 'C'], [4, 5, 6]))
plot = bokeh_renderer.get_plot(segments)
x_range = plot.handles['x_range']
self.assertIsInstance(x_range, FactorRange)
self.assertEqual(x_range.factors, ['A', 'B', 'C'])
def test_segments_categorical_yaxis(self):
segments = Segments(([1, 2, 3], ['A', 'B', 'C'], [4, 5, 6], ['A', 'B', 'C']))
plot = bokeh_renderer.get_plot(segments)
y_range = plot.handles['y_range']
self.assertIsInstance(y_range, FactorRange)
self.assertEqual(y_range.factors, ['A', 'B', 'C'])
def test_segments_categorical_yaxis_invert_axes(self):
segments = Segments(([1, 2, 3], ['A', 'B', 'C'], [4, 5, 6], ['A', 'B', 'C']))
plot = bokeh_renderer.get_plot(segments)
y_range = plot.handles['y_range']
self.assertIsInstance(y_range, FactorRange)
self.assertEqual(y_range.factors, ['A', 'B', 'C'])
def test_segments_overlay_categorical_yaxis(self):
segments = Segments(([1, 2, 3], ['A', 'B', 'C'], [4, 5, 6], ['A', 'B', 'C']))
segments2 = Segments(([1, 2, 3], ['B', 'C', 'D'], [4, 5, 6], ['B', 'C', 'D']))
plot = bokeh_renderer.get_plot(segments*segments2)
y_range = plot.handles['y_range']
self.assertIsInstance(y_range, FactorRange)
self.assertEqual(y_range.factors, ['A', 'B', 'C', 'D'])
def test_segments_overlay_categorical_yaxis_invert_axis(self):
segments = Segments(([1, 2, 3], ['A', 'B', 'C'], [4, 5, 6], ['A', 'B', 'C'])).opts(invert_yaxis=True)
segments2 = Segments(([1, 2, 3], ['B', 'C', 'D'], [4, 5, 6], ['B', 'C', 'D']))
plot = bokeh_renderer.get_plot(segments*segments2)
y_range = plot.handles['y_range']
self.assertIsInstance(y_range, FactorRange)
self.assertEqual(y_range.factors, ['A', 'B', 'C', 'D'][::-1])
def test_segments_overlay_categorical_yaxis_invert_axes(self):
segments = Segments(([1, 2, 3], ['A', 'B', 'C'], [4, 5, 6], ['A', 'B', 'C'])).opts(invert_axes=True)
segments2 = Segments(([1, 2, 3], ['B', 'C', 'D'], [4, 5, 6], ['B', 'C', 'D']))
plot = bokeh_renderer.get_plot(segments*segments2)
x_range = plot.handles['x_range']
self.assertIsInstance(x_range, FactorRange)
self.assertEqual(x_range.factors, ['A', 'B', 'C', 'D'])
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29907,
742,
525,
29928,
11287,
13,
2
] |
Ch_0_RandomWalker.py | LeeDaeil/NaturalCode | 0 | 98905 | """
Title : Random Walker 구현
"""
# import Part ----------------------------------------------------------------------------------------------------------
import numpy as np
from random import randint
import sys
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
# ----------------------------------------------------------------------------------------------------------------------
class MainWin(QWidget):
def __init__(self):
super(MainWin, self).__init__(parent=None)
self.setGeometry(100, 100, 500, 500)
self.walk_history = [[int(self.width()/2), int(self.height()/2)]] # (x, y)
timer = QTimer(self)
timer.setInterval(30)
timer.timeout.connect(self.walk)
timer.start()
def paintEvent(self, QPaintEvent):
qp = QPainter(self)
qp.save()
qp.setPen(Qt.NoPen)
qp.setBrush(QBrush(Qt.blue))
for (x, y) in self.walk_history:
qp.drawEllipse(x, y, 5, 5)
qp.restore()
def walk(self):
self.update()
old_x = self.walk_history[-1][0]
old_y = self.walk_history[-1][1]
direct = randint(1, 4)
if direct == 1:
old_x += 1
elif direct == 2:
old_x -= 1
elif direct == 3:
old_y += 1
elif direct == 4:
old_y -= 1
self.walk_history.append([old_x, old_y])
if __name__ == '__main__':
app = QApplication(sys.argv)
w = MainWin()
w.show()
sys.exit(app.exec_())
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] |
script.py | LionKettyUD/video-subtitle-merger | 0 | 149358 | from pyrogram.types import InlineKeyboardMarkup, InlineKeyboardButton
class Script(object):
START_TEXT = """
Hey {}
I am Telegram Most Powerful Subtitle Muxer Bot
I can Mux Any Srt or Txt File in File or Video
Use Help Command to Know How to Use me
Made With 💕 By @Tellybots_4u
"""
HELP_TEXT = """
Recommended
➠ Use Hardmux If You Have More Time
Recommended
➠ Use Softmux To add Subtitle Fastly in It
Softmux
➠ Send /softmux to add Subtitle Softly in it
HardMux
➠ Send /hardmux to add Subtitle hardly in it
Made With 💕 By @Tellybots_4u
"""
ABOUT_TEXT = """
**🤖 Bot :** Sub-Muxer\n
**👲 Developer :** [Tellybots_4u](https://telegram.me/tellybots_4u)\n
**👥 Channel :** [Tellybots_4u](https://telegram.me/tellybots_4u)\n
**❄️ Credits :** Everyone in this journey\n
**🍴 Source :** [Click here](https://t.me/tellybots_digital)\n
**📝 Language :** [Python3](https://python.org)\n
**📚 Library :** [Pyrogram v1.2.0](https://pyrogram.org)\n
**🌟 Server :** [Heroku](https://heroku.com)\n
"""
START_BUTTONS = InlineKeyboardMarkup(
[[
InlineKeyboardButton('🤖 Update Channel', url='https://telegram.me/tellybots_4u'),
InlineKeyboardButton('💬 Support Group', url='https://telegram.me/tellybots_support')
],[
InlineKeyboardButton('❔ Help', callback_data='help'),
InlineKeyboardButton('⛔ Close', callback_data='close')
]]
)
HELP_BUTTONS = InlineKeyboardMarkup(
[[
InlineKeyboardButton('🏡 Home', callback_data='home'),
InlineKeyboardButton('👲 About', callback_data='about'),
InlineKeyboardButton('⛔ Close', callback_data='close')
]]
)
ABOUT_BUTTONS = InlineKeyboardMarkup(
[[
InlineKeyboardButton('🏡 Home', callback_data='home'),
InlineKeyboardButton('❔ Help', callback_data='help'),
InlineKeyboardButton('⛔ Close', callback_data='close')
]]
)
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] |
sts/train.py | LostCow/KLUE | 18 | 9237 | <filename>sts/train.py
import argparse
import numpy as np
import os
import torch
from transformers import AutoTokenizer, AutoConfig, Trainer, TrainingArguments
from model import RobertaForStsRegression
from dataset import KlueStsWithSentenceMaskDataset
from utils import read_json, seed_everything
from metric import compute_metrics
def main(args):
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
config = AutoConfig.from_pretrained(args.model_name_or_path)
config.num_labels = args.num_labels
tokenizer = AutoTokenizer.from_pretrained(args.model_name_or_path)
train_file_path = os.path.join(args.data_dir, args.train_filename)
valid_file_path = os.path.join(args.data_dir, args.valid_filename)
train_json = read_json(train_file_path)
valid_json = read_json(valid_file_path)
train_dataset = KlueStsWithSentenceMaskDataset(train_json, tokenizer, 510)
valid_dataset = KlueStsWithSentenceMaskDataset(train_json, tokenizer, 510)
model = RobertaForStsRegression.from_pretrained(
args.model_name_or_path, config=config
)
model.to(device)
training_args = TrainingArguments(
output_dir=args.model_dir,
save_total_limit=args.save_total_limit,
save_steps=args.save_steps,
num_train_epochs=args.num_train_epochs,
learning_rate=args.learning_rate,
per_device_train_batch_size=args.batch_size,
per_device_eval_batch_size=64,
gradient_accumulation_steps=args.gradient_accumulation_steps,
weight_decay=args.weight_decay,
logging_dir="./logs",
logging_steps=args.save_steps,
evaluation_strategy=args.evaluation_strategy,
metric_for_best_model="pearsonr",
fp16=True,
fp16_opt_level="O1",
eval_steps=args.save_steps,
load_best_model_at_end=True,
)
trainer = Trainer(
model=model,
args=training_args,
train_dataset=train_dataset,
eval_dataset=valid_dataset,
compute_metrics=compute_metrics,
)
trainer.train()
model.save_pretrained(args.model_dir)
tokenizer.save_pretrained(args.model_dir)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
# data_arg
parser.add_argument("--data_dir", type=str, default="./data")
parser.add_argument("--model_dir", type=str, default="./model")
parser.add_argument("--output_dir", type=str, default="./output")
parser.add_argument("--model_name_or_path", type=str, default="klue/roberta-large")
parser.add_argument(
"--train_filename", type=str, default="klue-sts-v1.1_train.json"
)
parser.add_argument("--valid_filename", type=str, default="klue-sts-v1.1_dev.json")
# train_arg
parser.add_argument("--num_labels", type=int, default=1)
parser.add_argument("--seed", type=int, default=15)
parser.add_argument("--num_train_epochs", type=int, default=5)
parser.add_argument("--batch_size", type=int, default=64)
parser.add_argument("--learning_rate", type=float, default=5e-5)
parser.add_argument("--gradient_accumulation_steps", type=int, default=1)
parser.add_argument("--weight_decay", type=float, default=0.01)
# eval_arg
parser.add_argument("--evaluation_strategy", type=str, default="steps")
parser.add_argument("--save_steps", type=int, default=250)
parser.add_argument("--eval_steps", type=int, default=250)
parser.add_argument("--save_total_limit", type=int, default=2)
args = parser.parse_args()
main(args)
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] |
markupwiki/views.py | jamesturk/django-markupwiki | 1 | 141036 | from difflib import HtmlDiff
from django.shortcuts import get_object_or_404, render_to_response, redirect
from django.http import HttpResponseForbidden
from django.conf import settings
from django.views.decorators.http import require_POST
from django.contrib.auth.decorators import login_required, user_passes_test
from django.contrib import messages
from django.http import Http404
from django.template import RequestContext
from django.utils.functional import wraps
from markupwiki.models import Article, ArticleVersion, PUBLIC, DELETED, LOCKED
from markupwiki.forms import ArticleForm, StaffModerationForm, ArticleRenameForm
CREATE_MISSING_ARTICLE = getattr(settings,
'MARKUPWIKI_CREATE_MISSING_ARTICLES', True)
EDITOR_TEST_FUNC = getattr(settings, 'MARKUPWIKI_EDITOR_TEST_FUNC',
lambda u: u.is_authenticated())
MODERATOR_TEST_FUNC = getattr(settings, 'MARKUPWIKI_MODERATOR_TEST_FUNC',
lambda u: u.is_staff)
def title_check(view):
def new_view(request, title, *args, **kwargs):
newtitle = title.replace(' ', '_')
if newtitle != title:
return redirect(request.path.replace(title, newtitle),
permanent=True)
else:
return view(request, title, *args, **kwargs)
return wraps(view)(new_view)
@title_check
def view_article(request, title, n=None):
''' view an article (or a specific revision of an article)
if n is specified will show nth revision, otherwise latest will be shown
if the article does not exist the user will be redirected to the edit page
Context:
article - ``Article`` instance
version - ``ArticleVersion`` to display
mod_form - ``StaffModerationForm`` instance present if user is staff
rename_form - ``ArticleRenameForm`` instance present if user is staff
Template:
article.html - default template used
'''
try:
article = Article.objects.get(title=title)
except Article.DoesNotExist:
if CREATE_MISSING_ARTICLE:
return redirect('edit_article', title)
else:
raise Http404()
if article.redirect_to_id:
return redirect(article.redirect_to)
if n:
version = article.versions.get(number=n)
else:
version = article.versions.latest()
version.is_latest = True
# set editable flag on article
article.editable = article.is_editable_by_user(request.user)
context = {'article':article, 'version': version}
if request.user.is_staff:
context['mod_form'] = StaffModerationForm(instance=article)
context['rename_form'] = ArticleRenameForm()
return render_to_response('markupwiki/article.html', context,
context_instance=RequestContext(request))
@title_check
@user_passes_test(EDITOR_TEST_FUNC)
def edit_article(request, title):
''' edit (or create) an article
Context:
title - title of article being edited
article - article being edited (potentially None)
form - form to edit article
Templates:
edit_article.html - Default template for editing the article.
locked_article.html - Template shown if editing is locked.
'''
try:
article = Article.objects.get(title=title)
except Article.DoesNotExist:
article = None
# check for staff lock
if article and not article.is_editable_by_user(request.user):
return HttpResponseForbidden('not authorized to edit')
if request.method == 'GET':
# either get an empty ArticleForm or one based on latest version
if article:
if not article.get_write_lock(request.user):
# set message and redirect
messages.info(request, 'Someone else is currently editing this page, please wait and try again.')
return redirect(article)
version = article.versions.latest()
form = ArticleForm(data={'body':version.body,
'body_markup_type':version.body_markup_type})
else:
form = ArticleForm()
elif request.method == 'POST':
form = ArticleForm(request.POST)
user = None if request.user.is_anonymous() else request.user
if form.is_valid():
if not article:
# if article doesn't exist create it and start num at 0
article = Article.objects.create(title=title,
creator=user)
num = 0
else:
if not article.get_write_lock(request.user):
# set message and redirect
messages.error(request, 'Your session timed out and someone else is now editing this page.')
return redirect(article)
# otherwise get latest num
num = article.versions.latest().number + 1
# create a new version attached to article specified in name
version = form.save(False)
version.article = article
version.author = user
version.number = num
version.save()
article.get_write_lock(user or request, release=True)
# redirect to view article on save
return redirect(article)
return render_to_response('markupwiki/edit_article.html',
{'title':title, 'article':article, 'form': form},
context_instance=RequestContext(request))
@require_POST
@user_passes_test(MODERATOR_TEST_FUNC)
@title_check
def article_status(request, title):
''' POST-only view to update article status (staff-only)
'''
article = get_object_or_404(Article, title=title)
article.status = int(request.POST['status'])
article.save()
return redirect(article)
@require_POST
@user_passes_test(MODERATOR_TEST_FUNC)
@title_check
def revert(request, title):
''' POST-only view to revert article to a specific revision
'''
article = get_object_or_404(Article, title=title)
revision_id = int(request.POST['revision'])
revision = get_object_or_404(article.versions, number=revision_id)
ArticleVersion.objects.create(article=article, author=request.user,
number=article.versions.latest().number,
comment='reverted to r%s' % revision_id,
body=revision.body)
return redirect(article)
@require_POST
@user_passes_test(MODERATOR_TEST_FUNC)
@title_check
def rename(request, title):
''' POST-only view to rename article '''
article = get_object_or_404(Article, title=title)
new_title = request.POST['new_title']
article.title = new_title.replace(' ', '_')
article.save()
new_article = Article.objects.create(title=title, creator=request.user,
redirect_to=article)
return redirect(article)
@title_check
def article_history(request, title):
article = get_object_or_404(Article, title=title)
versions = article.versions.filter(removed=False)
return render_to_response('markupwiki/history.html',
{'article':article, 'versions':versions},
context_instance=RequestContext(request))
@title_check
def article_diff(request, title):
article = get_object_or_404(Article, title=title)
from_id = int(request.GET['from'])
to_id = int(request.GET['to'])
from_version = article.versions.get(number=from_id)
to_version = article.versions.get(number=to_id)
differ = HtmlDiff()
from_body = from_version.body.raw.split('\n')
to_body = to_version.body.raw.split('\n')
table = differ.make_table(from_body, to_body)
return render_to_response('markupwiki/article_diff.html',
{'article': article, 'table':table,
'from': from_id, 'to':to_id},
context_instance=RequestContext(request))
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pykasso/abrechnung.py | pekh/pykasso | 0 | 67297 | <gh_stars>0
from collections import defaultdict
from dataclasses import dataclass
from datetime import date, datetime
from decimal import Decimal
from typing import Dict, List
@dataclass(eq=True, frozen=True)
class Mitglied:
name: str
vorname: str
anrede: str = 'Hallo'
strasse: str = ''
plz: str = ''
ort: str = ''
land: str = ''
email: str = ''
@dataclass
class AbrechnungsPosition:
datum: date
text: str
wert: Decimal
@dataclass
class Abrechnung:
mitglied: Mitglied
positionen: List[AbrechnungsPosition]
# evtl könnte das Iterator-Protokoll implementiert werden, um über die
# Positionen zu iterieren
@property
def betrag(self):
return sum([pos.wert for pos in self.positionen])
def abrechnungen_aus_transaktionen(transaktionen: List[Dict[str, str]]) -> List[Abrechnung]:
positionen = defaultdict(list)
for transaktion in transaktionen:
vorname, name = transaktion['Account Name'].split(':')[-1].split(' ')
positionen[Mitglied(name, vorname)].append(
AbrechnungsPosition(
datum=datetime.strptime(transaktion['Date'], '%d.%m.%Y').date(),
text=transaktion['Description'],
wert=Decimal(transaktion['Amount Num.'].replace(',', '.')),
)
)
result = []
for mitglied, a_positionen in positionen.items():
result.append(
Abrechnung(mitglied, positionen=sorted(a_positionen, key=lambda x: x.datum))
)
return result
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] |
marginal_finder/__init__.py | pjamesjoyce/marginal-finder | 0 | 191712 | <gh_stars>0
from .market_finder import * | [
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303,
1503,
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29900,
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869,
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2
] |
drawIns.py | Tesla2fox/rescuePathPlanning | 0 | 188701 | # -*- coding: utf-8 -*-
"""
Created on Mon Jun 11 21:43:14 2018
@author: robot
"""
import plotly.plotly as py
import plotly.graph_objs as go
import plotly
import random
import numpy as np
import copy as cp
import copy
import readCfg.read_cfg as rd
from IPython.display import HTML,display
import colorlover as cl
import math
#import read_cfg
class Pnt:
def __init__(self,x=0,y=0):
self.x = x
self.y = y
def pnt2dict(self):
dic = dict(x = x,y= y)
return dic
def display(self):
print('x = ',self.x,'y = ',self.y)
class Circle:
def __init__(self,pnt = Pnt(),rad = 0):
self.x = pnt.x
self.y = pnt.y
self.rad = rad
self.x0 = self.x - self.rad
self.y0 = self.y - self.rad
self.x1 = self.x + self.rad
self.y1 = self.y + self.rad
def circle2dict(self):
dic = dict()
dic['type'] = 'circle'
dic['xref'] = 'x'
dic['yref'] = 'y'
dic['x0'] = self.x0
dic['y0'] = self.y0
dic['x1'] = self.x1
dic['y1'] = self.y1
dic['line'] = dict(color = 'rgba(50, 171, 96, 1)')
return dic
class Line:
def __init__(self,pnt0 =Pnt(),pnt1=Pnt()):
self.x0 = pnt0.x
self.y0 = pnt0.y
self.x1 = pnt1.x
self.y1 = pnt1.y
def line2dict(self):
dic= dict()
dic['type']='line'
dic['x0'] =self.x0
dic['y0'] =self.y0
dic['x1'] =self.x1
dic['y1'] =self.y1
dic['line'] = dict(color = 'rgb(128, 0, 128)')
return dic
class Rect:
def __init__(self,pnt =Pnt(),width =0,height =0):
self.x0 = pnt.x
self.y0 = pnt.y
self.x1 = self.x0 + width
self.y1 = self.y0 + height
def rect2dict(self):
dic = dict()
dic['type']='rect'
dic['x0'] = self.x0
dic['y0'] = self.y0
dic['x1'] = self.x1
dic['y1'] = self.y1
dic['line'] = dict(color = 'rgb(128, 0, 128)')
return dic
def getLevelColor(level):
strcolor = 'rgba('
for i in range(3):
strcolor = strcolor + str(level*50)+','
strcolor = strcolor + str(1/level) +')'
return strcolor
colorLst = ['white','black']
class Env:
def __init__(self, mat = np.zeros((2,2))):
self.mat = mat
self.shapeLst = []
self.drawData = []
self.annotations = []
self.proLevNum = 0
def addgrid(self):
g_color = 'blue'
row = len(self.mat)
for i in range(row):
for j in range(len(self.mat[i])):
pnt = Pnt(i,j)
rect = Rect(pnt,1,1)
rectDic = rect.rect2dict()
rectDic['line']['color'] = g_color
rectDic['line']['width'] = 0.5
# rectDic['opacity'] = 1/(int(self.mat[i][j])+1)
# rectDic['fillcolor'] = colorLst[int(self.mat[i][j])]
if(int(self.mat[i][j])==1):
rectDic['fillcolor'] = 'black'
# if(int(self.mat[i][j])==0):
# rectDic['fillcolor'] = colorLst[int(self.mat[i][j])]
# getLevelColor(mat[i][j])
self.shapeLst.append(copy.deepcopy(rectDic))
print(len(self.shapeLst))
def addProGrid(self,proLevLst = []):
line_color = 'red'
ind = 0
row = len(self.mat)
bupu = cl.scales['9']['seq']['YlGnBu']
bupuNum = cl.interp(bupu,500)
bupuUnit = math.floor(500/4)
for i in range(row):
for j in range(len(self.mat[i])):
pnt = Pnt(i,j)
rect = Rect(pnt,1,1)
rectDic = rect.rect2dict()
rectDic['line']['color'] = line_color
rectDic['line']['width'] = 0.5
if int(proLevLst[ind]) == 0:
rectDic['fillcolor'] = 'black'
else:
rectDic['fillcolor'] = bupuNum[int((proLevLst[ind] - 1) *bupuUnit)]
rectDic['opacity'] = 0.7
ind += 1
self.shapeLst.append(copy.deepcopy(rectDic))
def addRobotStartPnt(self,lst= []):
for i in range(len(lst[0])):
lst[0][i] = lst[0][i] + 0.5
lst[1][i] = lst[1][i] + 0.5
startTrace = go.Scatter(x =[lst[0][i]], y = [lst[1][i]],mode ='markers',marker = dict(symbol = 'cross-dot',size = 20),
name =
# 'start')
'Robot_'+ str(i+1))
self.drawData.append(startTrace)
def drawPic(self,name ='env',fileType = True):
layout = dict()
layout['shapes'] = self.shapeLst
layout['xaxis'] = {'range':[0,len(self.mat[0])]}
layout['yaxis'] = {'range':[0,len(self.mat)]}
layout['xaxis'] = dict(
autorange=True,
showgrid=False,
zeroline=False,
showline=False,
autotick=True,
ticks='',
showticklabels = False)
layout['yaxis'] = dict(
scaleanchor = "x",
autorange=True,
showgrid=False,
zeroline=False,
showline=False,
autotick=True,
ticks='',
showticklabels = False)
layout['font'] = dict(
family='sans-serif',
size=25,
color='#000'
)
layout['legend'] = dict(font=dict(
family='sans-serif',
size=25,
color='#000'
))
layout['autosize'] = False
layout['height'] = 1000
layout['width']= 1000
layout['annotations'] = self.annotations
# print(layout)
fig = dict(data = self.drawData ,layout = layout)
if(fileType):
plotly.offline.plot(fig,filename = name + '.html',validate=False)
else:
py.image.save_as(fig,filename = name+'.jpeg')
def drawIns(cfgFileName = '5_20_20_80_Outdoor_Cfg.txt',drawType = 1,
fileName = 'nothing',
fileType = False ):
py.sign_in('tesla_fox', 'HOTRQ3nIOdYUUszDIfgN')
# conFileDir = './/data//'
# degNameCfg = conFileDir + cfgFileName
readCfg = rd.Read_Cfg(cfgFileName)
data = []
readCfg.get('row',data)
row = int(data.pop())
readCfg.get('col',data)
col = int(data.pop())
mat = np.zeros((row,col))
obRowLst = []
obColLst = []
readCfg.get('obRow',obRowLst)
readCfg.get('obCol',obColLst)
for i in range(len(obRowLst)):
obRow = int(obRowLst[i])
obCol = int(obColLst[i])
mat[obRow][obCol] = 1
robRowLst = []
robColLst = []
readCfg.get('robRow',robRowLst)
readCfg.get('robCol',robColLst)
proLevLst = []
readCfg.get('proLevGrid',proLevLst)
env = Env(mat)
env.proLevNum = int(readCfg.getSingleVal('proLevNum'))
# proMat = np.zeros((row,col),dtype = int)
#case 1 draw Environment
if(drawType == 1):
# env.addgrid()
env.addProGrid(proLevLst = proLevLst)
robLst = []
robLst.append(robRowLst)
robLst.append(robColLst)
env.addRobotStartPnt(robLst)
cfgFileName = cfgFileName.split('data//')[1]
cfgFileName = cfgFileName.split('.dat')[0]
env.drawPic('./png/env_'+cfgFileName,fileType)
#case 2 draw Environment with edges
if __name__ == '__main__':
drawIns( cfgFileName = './/data//1_20_20_50_Cfg.dat',fileType = True)
pass
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] |
docs/getFields.py | bhavin-vadgama/bibtex | 4 | 1617849 | <reponame>bhavin-vadgama/bibtex
"""
{
"created_on": "16 Sep 2018, Sun",
"scrap_url": "http://bib-it.sourceforge.net/help/fieldsAndEntryTypes.php#article"
}
"""
import json
import requests
from bs4 import BeautifulSoup
def get_fields(s):
fields = s.strip().strip('.') # "Required fields: author, title, note"
fields = fields.split(':')[1]
fields = fields.strip().strip('.')
fields = [entry_type.strip() for entry_type in fields.split(',')]
return fields
def main():
url = "http://bib-it.sourceforge.net/help/fieldsAndEntryTypes.php#article"
res = requests.get(url)
print(res.status_code)
text = res.text
soup = BeautifulSoup(text, "html.parser")
tables = soup.find_all('table')
table2 = tables[2]
# print(len(tables))
# print(tables)
table2_contents = table2.contents
table2_contents = table2_contents[1:len(table2_contents)-1] # Remove '\n', ' ' from front and end respectively.
# print(table2_contents)
fields = {}
for table2_content in table2_contents:
tr_contents = table2_content.contents;
# [<td><a name="year"></a>
# <a href="#TOP" title="up">year</a></td>, <td> <p class="def">The year of publication or, for an unpublished work, the year it was written. </p><p class="desc">Generally, it should consist of four numerals, such as 1984, although the standard styles can handle any year whose last four nonpunctuation characters are numerals, such as "about 1984".</p>
# </td>]
# print(tr_contents);
# print(type(tr_contents[0])) # <class 'bs4.element.Tag'>
field = tr_contents[0].text; # tr_contents[0].string => None
print(field);
td_contents = tr_contents[1].contents; # All p elements
print(td_contents)
my_note = td_contents[2].string;
if not my_note:
note = ''
else:
note = my_note;
print("...", td_contents)
my_description = td_contents[1].string
if not my_description:
description = '';
else:
description = my_description;
fields[field.strip()] = {
"description": description.strip(),
"note": note.strip(),
};
print(json.dumps(fields, indent=4))
# START
main()
"""
{
"address": {
"description": "",
"note": ""
},
"annote": {
"description": "",
"note": ""
}
}
"""
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lorasim/loraDirP3.py | LoRa-mesh-TEAM-SODAQ/LoRaMeshSIM | 0 | 137923 | <reponame>LoRa-mesh-TEAM-SODAQ/LoRaMeshSIM<filename>lorasim/loraDirP3.py
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
LoRaSim 0.2.1: simulate collisions in LoRa
Copyright © 2016 <NAME> <<EMAIL>> and <NAME> <<EMAIL>>
This work is licensed under the Creative Commons Attribution 4.0
International License. To view a copy of this license,
visit http://creativecommons.org/licenses/by/4.0/.
Do LoRa Low-Power Wide-Area Networks Scale? <NAME>, <NAME>, <NAME>
and <NAME>, MSWiM '16, http://dx.doi.org/10.1145/2988287.2989163
$Date: 2017-05-12 19:16:16 +0100 (Fri, 12 May 2017) $
$Revision: 334 $
"""
"""
SYNOPSIS:
./loraDir.py <nodes> <avgsend> <experiment> <simtime> [collision]
DESCRIPTION:
nodes
number of nodes to simulate
avgsend
average sending interval in milliseconds
experiment
experiment is an integer that determines with what radio settings the
simulation is run. All nodes are configured with a fixed transmit power
and a single transmit frequency, unless stated otherwise.
0 use the settings with the the slowest datarate (SF12, BW125, CR4/8).
1 similair to experiment 0, but use a random choice of 3 transmit
frequencies.
2 use the settings with the fastest data rate (SF6, BW500, CR4/5).
3 optimise the setting per node based on the distance to the gateway.
4 use the settings as defined in LoRaWAN (SF12, BW125, CR4/5).
5 similair to experiment 3, but also optimises the transmit power.
simtime
total running time in milliseconds
collision
set to 1 to enable the full collision check, 0 to use a simplified check.
With the simplified check, two messages collide when they arrive at the
same time, on the same frequency and spreading factor. The full collision
check considers the 'capture effect', whereby a collision of one or the
OUTPUT
The result of every simulation run will be appended to a file named expX.dat,
whereby X is the experiment number. The file contains a space separated table
of values for nodes, collisions, transmissions and total energy spent. The
data file can be easily plotted using e.g. gnuplot.
"""
import simpy
import random
import numpy as np
import math
import sys
import matplotlib.pyplot as plt
import os
# turn on/off graphics
graphics = 1
# do the full collision check
full_collision = True
# experiments:
# 0: packet with longest airtime, aloha-style experiment
# 0: one with 3 frequencies, 1 with 1 frequency
# 2: with shortest packets, still aloha-style
# 3: with shortest possible packets depending on distance
# this is an array with measured values for sensitivity
# see paper, Table 3
sf7 = np.array([7,-126.5,-124.25,-120.75])
sf8 = np.array([8,-127.25,-126.75,-124.0])
sf9 = np.array([9,-131.25,-128.25,-127.5])
sf10 = np.array([10,-132.75,-130.25,-128.75])
sf11 = np.array([11,-134.5,-132.75,-128.75])
sf12 = np.array([12,-133.25,-132.25,-132.25])
#
# check for collisions at base station
# Note: called before a packet (or rather node) is inserted into the list
def checkcollision(packet):
col = 0 # flag needed since there might be several collisions for packet
processing = 0
for i in range(0,len(packetsAtBS)):
if packetsAtBS[i].packet.processed == 1:
processing = processing + 1
if (processing > maxBSReceives):
print("too long:", len(packetsAtBS))
packet.processed = 0
else:
packet.processed = 1
if packetsAtBS:
print("CHECK node {} (sf:{} bw:{} freq:{:.6e}) others: {}".format(
packet.nodeid, packet.sf, packet.bw, packet.freq,
len(packetsAtBS)))
for other in packetsAtBS:
if other.nodeid != packet.nodeid:
print(">> node {} (sf:{} bw:{} freq:{:.6e})".format(
other.nodeid, other.packet.sf, other.packet.bw, other.packet.freq))
# simple collision
if frequencyCollision(packet, other.packet) \
and sfCollision(packet, other.packet):
if full_collision:
if timingCollision(packet, other.packet):
# check who collides in the power domain
c = powerCollision(packet, other.packet)
# mark all the collided packets
# either this one, the other one, or both
for p in c:
p.collided = 1
if p == packet:
col = 1
else:
# no timing collision, all fine
pass
else:
packet.collided = 1
other.packet.collided = 1 # other also got lost, if it wasn't lost already
col = 1
return col
return 0
#
# frequencyCollision, conditions
#
# |f1-f2| <= 120 kHz if f1 or f2 has bw 500
# |f1-f2| <= 60 kHz if f1 or f2 has bw 250
# |f1-f2| <= 30 kHz if f1 or f2 has bw 125
def frequencyCollision(p1,p2):
if (abs(p1.freq-p2.freq)<=120 and (p1.bw==500 or p2.freq==500)):
print("frequency coll 500")
return True
elif (abs(p1.freq-p2.freq)<=60 and (p1.bw==250 or p2.freq==250)):
print("frequency coll 250")
return True
else:
if (abs(p1.freq-p2.freq)<=30):
print("frequency coll 125")
return True
#else:
print("no frequency coll")
return False
def sfCollision(p1, p2):
if p1.sf == p2.sf:
print("collision sf node {} and node {}".format(p1.nodeid, p2.nodeid))
# p2 may have been lost too, will be marked by other checks
return True
print("no sf collision")
return False
def powerCollision(p1, p2):
powerThreshold = 6 # dB
print("pwr: node {0.nodeid} {0.rssi:3.2f} dBm node {1.nodeid} {1.rssi:3.2f} dBm; diff {2:3.2f} dBm".format(p1, p2, round(p1.rssi - p2.rssi,2)))
if abs(p1.rssi - p2.rssi) < powerThreshold:
print("collision pwr both node {} and node {}".format(p1.nodeid, p2.nodeid))
# packets are too close to each other, both collide
# return both packets as casualties
return (p1, p2)
elif p1.rssi - p2.rssi < powerThreshold:
# p2 overpowered p1, return p1 as casualty
print("collision pwr node {} overpowered node {}".format(p2.nodeid, p1.nodeid))
return (p1,)
print("p1 wins, p2 lost")
# p2 was the weaker packet, return it as a casualty
return (p2,)
def timingCollision(p1, p2):
# assuming p1 is the freshly arrived packet and this is the last check
# we've already determined that p1 is a weak packet, so the only
# way we can win is by being late enough (only the first n - 5 preamble symbols overlap)
# assuming 8 preamble symbols
Npream = 8
# we can lose at most (Npream - 5) * Tsym of our preamble
Tpreamb = 2**p1.sf/(1.0*p1.bw) * (Npream - 5)
# check whether p2 ends in p1's critical section
p2_end = p2.addTime + p2.rectime
p1_cs = env.now + Tpreamb
print("collision timing node {} ({},{},{}) node {} ({},{})".format(
p1.nodeid, env.now - env.now, p1_cs - env.now, p1.rectime,
p2.nodeid, p2.addTime - env.now, p2_end - env.now
))
if p1_cs < p2_end:
# p1 collided with p2 and lost
print("not late enough")
return True
print("saved by the preamble")
return False
# this function computes the airtime of a packet
# according to LoraDesignGuide_STD.pdf
#
def airtime(sf,cr,pl,bw):
H = 0 # implicit header disabled (H=0) or not (H=1)
DE = 0 # low data rate optimization enabled (=1) or not (=0)
Npream = 8 # number of preamble symbol (12.25 from Utz paper)
if bw == 125 and sf in [11, 12]:
# low data rate optimization mandated for BW125 with SF11 and SF12
DE = 1
if sf == 6:
# can only have implicit header with SF6
H = 1
Tsym = (2.0**sf)/bw
Tpream = (Npream + 4.25)*Tsym
print("sf", sf, " cr", cr, "pl", pl, "bw", bw)
payloadSymbNB = 8 + max(math.ceil((8.0*pl-4.0*sf+28+16-20*H)/(4.0*(sf-2*DE)))*(cr+4),0)
Tpayload = payloadSymbNB * Tsym
return Tpream + Tpayload
#
# this function creates a node
#
class myNode():
def __init__(self, nodeid, bs, period, packetlen):
self.nodeid = nodeid
self.period = period
self.bs = bs
self.x = 0
self.y = 0
# this is very complex prodecure for placing nodes
# and ensure minimum distance between each pair of nodes
found = 0
rounds = 0
global nodes
#i = 150
"""
if len(nodes) > 0:
for index, n in enumerate(nodes):
self.x = 100 + i
self.y = 100 + i
i= i + 100
print("node x: ", self.x)
else:
print("first node")
self.x = 100
self.y = 100
found = 1
"""
while (found == 0 and rounds < 100):
a = random.random()
b = random.random()
if b<a:
a,b = b,a
posx = b*maxDist*math.cos(2*math.pi*a/b)+bsx
posy = b*maxDist*math.sin(2*math.pi*a/b)+bsy
if len(nodes) > 0:
for index, n in enumerate(nodes):
dist = np.sqrt(((abs(n.x-posx))**2)+((abs(n.y-posy))**2))
if dist >= 10:
found = 1
self.x = posx
self.y = posy
else:
rounds = rounds + 1
if rounds == 100:
print("could not place new node, giving up")
exit(-1)
else:
print("first node")
self.x = posx
self.y = posy
found = 1
self.dist = np.sqrt((self.x-bsx)*(self.x-bsx)+(self.y-bsy)*(self.y-bsy))
print(('node %d' %nodeid, "x", self.x, "y", self.y, "dist: ", self.dist))
self.packet = myPacket(self.nodeid, packetlen, self.dist)
self.sent = 0
# graphics for node
global graphics
if (graphics == 1):
global ax
ax.add_artist(plt.Circle((self.x, self.y), 2, fill=True, color='blue'))
#
# this function creates a packet (associated with a node)
# it also sets all parameters, currently random
#
class myPacket():
def __init__(self, nodeid, plen, distance):
global experiment
global Ptx
global gamma
global d0
global var
global Lpld0
global GL
self.nodeid = nodeid
self.txpow = Ptx
# randomize configuration values
self.sf = random.randint(6,12)
self.cr = random.randint(1,4)
self.bw = random.choice([125, 250, 500])
# for certain experiments override these
if experiment==1 or experiment == 0:
self.sf = 12
self.cr = 4
self.bw = 125
# for certain experiments override these
if experiment==2:
self.sf = 6
self.cr = 1
self.bw = 500
# lorawan
if experiment == 4:
self.sf = 12
self.cr = 1
self.bw = 125
# for experiment 3 find the best setting
# OBS, some hardcoded values
Prx = self.txpow ## zero path loss by default
# log-shadow
Lpl = Lpld0 + 10*gamma*math.log10(distance/d0)
print("Lpl:", Lpl)
Prx = self.txpow - GL - Lpl
if (experiment == 3) or (experiment == 5):
minairtime = 9999
minsf = 0
minbw = 0
print("Prx:", Prx)
for i in range(0,6):
for j in range(1,4):
if (sensi[i,j] < Prx):
self.sf = int(sensi[i,0])
if j==1:
self.bw = 125
elif j==2:
self.bw = 250
else:
self.bw=500
at = airtime(self.sf, 1, plen, self.bw)
if at < minairtime:
minairtime = at
minsf = self.sf
minbw = self.bw
minsensi = sensi[i, j]
if (minairtime == 9999):
print("does not reach base station")
exit(-1)
print("best sf:", minsf, " best bw: ", minbw, "best airtime:", minairtime)
self.rectime = minairtime
self.sf = minsf
self.bw = minbw
self.cr = 1
if experiment == 5:
# reduce the txpower if there's room left
self.txpow = max(2, self.txpow - math.floor(Prx - minsensi))
Prx = self.txpow - GL - Lpl
print('minsesi {} best txpow {}'.format(minsensi, self.txpow))
# transmission range, needs update XXX
self.transRange = 150
self.pl = plen
self.symTime = (2.0**self.sf)/self.bw
self.arriveTime = 0
self.rssi = Prx
# frequencies: lower bound + number of 61 Hz steps
self.freq = 860000000 + random.randint(0,2622950)
# for certain experiments override these and
# choose some random frequences
if experiment == 1:
self.freq = random.choice([860000000, 864000000, 868000000])
else:
self.freq = 860000000
print("frequency" ,self.freq, "symTime ", self.symTime)
print("bw", self.bw, "sf", self.sf, "cr", self.cr, "rssi", self.rssi)
self.rectime = airtime(self.sf,self.cr,self.pl,self.bw)
print("rectime node ", self.nodeid, " ", self.rectime)
# denote if packet is collided
self.collided = 0
self.processed = 0
#
# main discrete event loop, runs for each node
# a global list of packet being processed at the gateway
# is maintained
#
def transmit(env,node):
while True:
yield env.timeout(random.expovariate(1.0/float(node.period)))
# time sending and receiving
# packet arrives -> add to base station
node.sent = node.sent + 1
if (node in packetsAtBS):
print("ERROR: packet already in")
else:
sensitivity = sensi[node.packet.sf - 7, [125,250,500].index(node.packet.bw) + 1]
if node.packet.rssi < sensitivity:
print("node {}: packet will be lost".format(node.nodeid))
node.packet.lost = True
else:
node.packet.lost = False
# adding packet if no collision
if (checkcollision(node.packet)==1):
node.packet.collided = 1
else:
node.packet.collided = 0
packetsAtBS.append(node)
node.packet.addTime = env.now
yield env.timeout(node.packet.rectime)
if node.packet.lost:
global nrLost
nrLost += 1
if node.packet.collided == 1:
global nrCollisions
nrCollisions = nrCollisions +1
if node.packet.collided == 0 and not node.packet.lost:
global nrReceived
nrReceived = nrReceived + 1
if node.packet.processed == 1:
global nrProcessed
nrProcessed = nrProcessed + 1
# complete packet has been received by base station
# can remove it
if (node in packetsAtBS):
packetsAtBS.remove(node)
# reset the packet
node.packet.collided = 0
node.packet.processed = 0
node.packet.lost = False
#
# "main" program
#
# get arguments
if len(sys.argv) >= 5:
nrNodes = int(sys.argv[1])
avgSendTime = int(sys.argv[2])
experiment = int(sys.argv[3])
simtime = int(sys.argv[4])
if len(sys.argv) > 5:
full_collision = bool(int(sys.argv[5]))
print("Nodes:", nrNodes)
print("AvgSendTime (exp. distributed):",avgSendTime)
print("Experiment: ", experiment)
print("Simtime: ", simtime)
print("Full Collision: ", full_collision)
else:
print("usage: ./loraDir <nodes> <avgsend> <experiment> <simtime> [collision]")
print("experiment 0 and 1 use 1 frequency only")
exit(-1)
# global stuff
#Rnd = random.seed(12345)
nodes = []
packetsAtBS = []
env = simpy.Environment()
# maximum number of packets the BS can receive at the same time
maxBSReceives = 8
# max distance: 300m in city, 3000 m outside (5 km Utz experiment)
# also more unit-disc like according to Utz
bsId = 1
nrCollisions = 0
nrReceived = 0
nrProcessed = 0
nrLost = 0
Ptx = 14
gamma = 2.08
d0 = 40.0
var = 0 # variance ignored for now
Lpld0 = 127.41
GL = 0
sensi = np.array([sf7,sf8,sf9,sf10,sf11,sf12])
if experiment in [0,1,4]:
minsensi = sensi[5,2] # 5th row is SF12, 2nd column is BW125
elif experiment == 2:
minsensi = -112.0 # no experiments, so value from datasheet
elif experiment in [3,5]:
minsensi = np.amin(sensi) ## Experiment 3 can use any setting, so take minimum
Lpl = Ptx - minsensi
print("amin", minsensi, "Lpl", Lpl)
maxDist = d0*(math.e**((Lpl-Lpld0)/(10.0*gamma)))
print("maxDist:", maxDist)
# base station placement
bsx = maxDist+10
bsy = maxDist+10
xmax = bsx + maxDist + 20
ymax = bsy + maxDist + 20
# prepare graphics and add sink
if (graphics == 1):
plt.ion()
plt.figure()
ax = plt.gcf().gca()
# XXX should be base station position
ax.add_artist(plt.Circle((bsx, bsy), 3, fill=True, color='green'))
ax.add_artist(plt.Circle((bsx, bsy), maxDist, fill=False, color='green'))
for i in range(0,nrNodes):
# myNode takes period (in ms), base station id packetlen (in Bytes)
# 1000000 = 16 min
node = myNode(i,bsId, avgSendTime,20)
nodes.append(node)
env.process(transmit(env,node))
#prepare show
if (graphics == 1):
plt.xlim([0, xmax])
plt.ylim([0, ymax])
plt.draw()
plt.show()
# start simulation
env.run(until=simtime)
# print stats and save into file
print("nrCollisions ", nrCollisions)
# compute energy
# Transmit consumption in mA from -2 to +17 dBm
TX = [22, 22, 22, 23, # RFO/PA0: -2..1
24, 24, 24, 25, 25, 25, 25, 26, 31, 32, 34, 35, 44, # PA_BOOST/PA1: 2..14
82, 85, 90, # PA_BOOST/PA1: 15..17
105, 115, 125] # PA_BOOST/PA1+PA2: 18..20
# mA = 90 # current draw for TX = 17 dBm
V = 3.0 # voltage XXX
sent = sum(n.sent for n in nodes)
energy = sum(node.packet.rectime * TX[int(node.packet.txpow)+2] * V * node.sent for node in nodes) / 1e6
print("energy (in J): ", energy)
print("sent packets: ", sent)
print("collisions: ", nrCollisions)
print("received packets: ", nrReceived)
print("processed packets: ", nrProcessed)
print("lost packets: ", nrLost)
# data extraction rate
der = (sent-nrCollisions)/float(sent)
print("DER:", der)
der = (nrReceived)/float(sent)
print("DER method 2:", der)
# this can be done to keep graphics visible
#if (graphics == 1):
# input('Press Enter to continue ...')
# save experiment data into a dat file that can be read by e.g. gnuplot
# name of file would be: exp0.dat for experiment 0
fname = "exp" + str(experiment) + ".dat"
print(fname)
if os.path.isfile(fname):
res = "\n" + str(nrNodes) + " " + str(nrCollisions) + " " + str(sent) + " " + str(energy)
else:
res = "#nrNodes nrCollisions nrTransmissions OverallEnergy\n" + str(nrNodes) + " " + str(nrCollisions) + " " + str(sent) + " " + str(energy)
with open(fname, "a") as myfile:
myfile.write(res)
myfile.close()
# with open('nodes.txt','w') as nfile:
# for n in nodes:
# nfile.write("{} {} {}\n".format(n.x, n.y, n.nodeid))
# with open('basestation.txt', 'w') as bfile:
# bfile.write("{} {} {}\n".format(bsx, bsy, 0))
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] |
cc_backend_lib/models/prediction.py | prio-data/cc_backend_lib | 0 | 1610586 |
import datetime
from typing import List,Dict,Union,Any, Optional
from pydantic import BaseModel
from geojson_pydantic import features
from . import scales
class PredictionProperties(BaseModel):
intensity: int
confidence: int
author: int
country: int
date: datetime.date
casualties: scales.CasualtyRange
class PredictionFeature(features.Feature):
class Meta:
QUERY_ORDER = ["id","shape","values","author_id","country_id","date"]
properties: Dict[str,Union[int,float,scales.CasualtyRange,datetime.date,str]] #PredictionProperties
@classmethod
def from_row(cls,id,shape,values,author_id,country_id,date,*_,**__):
return cls(
geometry = shape["geometry"],
properties = {
"intensity": values["intensity"],
"confidence": values["confidence"],
"author": author_id,
"country": country_id,
"date": date,
"casualties": scales.scaled(date,values["intensity"])
},
id=id
)
class PredFeatureCollection(features.FeatureCollection):
features: List[PredictionFeature]
@classmethod
def from_response(cls,rows):
return cls(
features = [PredictionFeature.from_row(**dict(r)) for r in rows]
)
class CountryProperties(BaseModel):
gwno: int
name: str
iso2c: str
class CountryFeature(features.Feature):
class Meta:
QUERY_ORDER = ["gwno","name","iso2c","shape"]
properties: CountryProperties
@classmethod
def from_row(cls,gwno,name,iso2c,shape):
return cls(
geometry = shape,
properties = CountryProperties(
gwno = gwno,
name = name,
iso2c = iso2c
)
)
class NonAnswer(BaseModel):
class Meta:
QUERY_ORDER = ["country_id","author_id","date"]
gwno: int
author: int
date: datetime.date
@classmethod
def from_row(cls,gwno,author,date):
return cls(
gwno = gwno,
author = author,
date = date
)
class QuarterlyData(BaseModel):
year: int
quarter: int
data: List[Any]
class PredictionsSummary(BaseModel):
confidence: float
intensity: float
accuracy: Optional[float]
coverage: Optional[float]
gwno: Optional[int]
@property
def evaluated(self):
return self.accuracy is not None and self.coverage is not None
class QuarterlyPredictionSummary(QuarterlyData):
data: List[PredictionsSummary]
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13,
2
] |
setup.py | ebinzacharias/ads_COVID-19 | 0 | 81180 | <filename>setup.py
from setuptools import find_packages, setup
setup(
name='src',
packages=find_packages(),
version='0.1.0',
description='An applied Data Science project on anaylzing the COVID-19 data.',
author='<NAME>',
license='MIT',
)
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] |
corpora_toolbox/utils/io.py | laurahzdz/corpora_toolbox | 0 | 21792 | import codecs
import os
# Function to save a string into a file
def save_string_in_file(string_text, file_name):
with codecs.open(file_name, "w", "utf-8") as f:
f.write(string_text)
f.close()
# Function to read all files in a dir with a specific extension
def read_files_in_dir_ext(dir_route, extension):
files = os.listdir(dir_route)
files_ext = [file for file in files if file.endswith(extension)]
return files_ext
# Function to read a file into a string
def read_file_in_string(file_name):
file_in_string = ""
with codecs.open(file_name, "r", "utf-8") as f:
file_in_string = f.read()
f.close()
return file_in_string
# Function to create a directory
def create_directory(directory):
if not os.path.exists(directory):
os.makedirs(directory)
return
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minidump/streams/CommentStreamA.py | lucasg/minidump | 1 | 144016 | <reponame>lucasg/minidump
#!/usr/bin/env python3
#
# Author:
# <NAME> (@skelsec)
#
class CommentStreamA:
def __init__(self):
self.data = None
@staticmethod
def parse(dir, buff):
csa = CommentStreamA()
buff.seek(dir.Location.Rva)
csa.data = buff.read(dir.Location.DataSize).decode()
return csa
def __str__(self):
return 'CommentA: %s' % self.data | [
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Section_7/word_count_repo/src/word_count.py | PacktPublishing/Software-Engineering-with-Python-3.x | 1 | 37378 | from project_utils import dict_to_file, get_word_count
if __name__ == "__main__":
inp_filename = 'sample.txt'
out_filename = 'count.csv'
print("Reading file ", inp_filename)
word_dict = get_word_count(inp_filename)
print("Output from get_word_count is")
print(word_dict)
print("Writing to file named", out_filename)
dict_to_file(word_dict, out_filename)
print("Done processing!")
| [
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PythonTestCase/run.py | TarsCloud/TarsDemo | 7 | 185586 | #!/usr/bin/python3
# coding: utf-8
from Projects.PHP import PHPServant
from Projects.GoLang import GoLangServant
from Projects.NodeJs import NodeJsServant
from Projects.Java import JavaServant
from Projects.Cpp import CppServant
import threading as td
import time
import optparse
import sys
import importlib
importlib.reload(sys)
# get web url and user token from runtime parameters
def get_web_url_and_token():
usage = "python %prog -u/--url <the url of framework web> -n/--nodeip <the ip of your application node> -t/--target <the target application to test>"
parser = optparse.OptionParser(usage=usage)
parser.add_option('-u', '--url', dest='url', type='string', help='the url of framework web', default='')
parser.add_option('-n', '--nodeip', dest='nodeip', type='string', help='the ip of your application node')
options, _ = parser.parse_args()
if options.url is None:
parser.print_help()
exit(1)
if options.nodeip is None:
parser.print_help()
exit(1)
return options.url, options.nodeip
# publish and test servants in multi-threading
def publish_and_test_servants():
# publish
php_testcase = td.Thread(target=php_serv.deploy_publish_and_test, args=())
php_testcase.start()
golang_testcase = td.Thread(target=golang_serv.deploy_publish_and_test, args=())
golang_testcase.start()
nodejs_testcase = td.Thread(target=nodejs_serv.deploy_publish_and_test, args=())
nodejs_testcase.start()
java_testcase = td.Thread(target=java_serv.deploy_publish_and_test, args=())
java_testcase.start()
cpp_testcase = td.Thread(target=cpp_serv.deploy_publish_and_test, args=())
cpp_testcase.start()
# wait
php_testcase.join()
golang_testcase.join()
nodejs_testcase.join()
java_testcase.join()
cpp_testcase.join()
# get runtime parameters
url, nodeip = get_web_url_and_token()
# initialize languages test cases
php_serv = PHPServant(url, nodeip)
golang_serv = GoLangServant(url, nodeip)
nodejs_serv = NodeJsServant(url, nodeip)
java_serv = JavaServant(url, nodeip)
cpp_serv = CppServant(url, nodeip)
t1 = time.time()
if __name__ == '__main__':
print("=====================================Publishing And Testing======================================")
# deploy servant
publish = td.Thread(target=publish_and_test_servants)
publish.start()
publish.join()
# report
print("============================================Reporting============================================")
php_serv.report()
golang_serv.report()
nodejs_serv.report()
java_serv.report()
cpp_serv.report()
failed_total = 0
failed_total += len(php_serv.failed_tests)
failed_total += len(golang_serv.failed_tests)
failed_total += len(nodejs_serv.failed_tests)
failed_total += len(java_serv.failed_tests)
failed_total += len(cpp_serv.failed_tests)
t2 = time.time()
duration = t2 - t1
print("Duration: {0} seconds".format(duration))
if failed_total > 0:
exit(255)
exit(0)
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29897,
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2
] |
release/scripts/presets/camera/Samsung_Galaxy_S4.py | rbabari/blender | 365 | 50315 | <reponame>rbabari/blender
import bpy
bpy.context.camera.sensor_width = 4.8
bpy.context.camera.sensor_height = 3.6
bpy.context.camera.lens = 4.20
bpy.context.camera.sensor_fit = 'HORIZONTAL'
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rec/urls.py | danielpine/tankonline | 0 | 99311 | <filename>rec/urls.py
# -*-coding:utf-8 -*-
from . import testdb
from . import views
from django.urls import path
from django.conf.urls import url
urlpatterns = [
path('', views.index, name='index'),
url(r'^websocket/', views.websocket_test),
url(r'^tank/', views.tank),
url(r'^snake/', views.snake),
] | [
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webexteamssdk/api/messages.py | coreGreenberet/webexteamssdk | 0 | 129093 | <filename>webexteamssdk/api/messages.py<gh_stars>0
# -*- coding: utf-8 -*-
"""Webex Teams Messages API wrapper.
Copyright (c) 2016-2019 Cisco and/or its affiliates.
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.
"""
from __future__ import (
absolute_import,
division,
print_function,
unicode_literals,
)
from builtins import *
from past.builtins import basestring
from requests_toolbelt import MultipartEncoder
from webexteamssdk.models.cards import AdaptiveCard
from ..generator_containers import generator_container
from ..restsession import RestSession
from ..utils import (
check_type, dict_from_items_with_values, is_local_file, is_web_url,
make_attachment, open_local_file,
)
API_ENDPOINT = 'messages'
OBJECT_TYPE = 'message'
class MessagesAPI(object):
"""Webex Teams Messages API.
Wraps the Webex Teams Messages API and exposes the API as native Python
methods that return native Python objects.
"""
def __init__(self, session, object_factory):
"""Init a new MessagesAPI object with the provided RestSession.
Args:
session(RestSession): The RESTful session object to be used for
API calls to the Webex Teams service.
Raises:
TypeError: If the parameter types are incorrect.
"""
check_type(session, RestSession)
super(MessagesAPI, self).__init__()
self._session = session
self._object_factory = object_factory
@generator_container
def list(self, roomId, mentionedPeople=None, before=None,
beforeMessage=None, max=None, **request_parameters):
"""Lists messages in a room.
Each message will include content attachments if present.
The list API sorts the messages in descending order by creation date.
This method supports Webex Teams's implementation of RFC5988 Web
Linking to provide pagination support. It returns a generator
container that incrementally yields all messages returned by the
query. The generator will automatically request additional 'pages' of
responses from Webex as needed until all responses have been returned.
The container makes the generator safe for reuse. A new API call will
be made, using the same parameters that were specified when the
generator was created, every time a new iterator is requested from the
container.
Args:
roomId(basestring): List messages for a room, by ID.
mentionedPeople(basestring): List messages where the caller is
mentioned by specifying "me" or the caller `personId`.
before(basestring): List messages sent before a date and time, in
ISO8601 format.
beforeMessage(basestring): List messages sent before a message,
by ID.
max(int): Limit the maximum number of items returned from the Webex
Teams service per request.
**request_parameters: Additional request parameters (provides
support for parameters that may be added in the future).
Returns:
GeneratorContainer: A GeneratorContainer which, when iterated,
yields the messages returned by the Webex Teams query.
Raises:
TypeError: If the parameter types are incorrect.
ApiError: If the Webex Teams cloud returns an error.
"""
check_type(roomId, basestring)
check_type(mentionedPeople, basestring, optional=True)
check_type(before, basestring, optional=True)
check_type(beforeMessage, basestring, optional=True)
check_type(max, int, optional=True)
params = dict_from_items_with_values(
request_parameters,
roomId=roomId,
mentionedPeople=mentionedPeople,
before=before,
beforeMessage=beforeMessage,
max=max,
)
# API request - get items
items = self._session.get_items(API_ENDPOINT, params=params)
# Yield message objects created from the returned items JSON objects
for item in items:
yield self._object_factory(OBJECT_TYPE, item)
def create(self, roomId=None, toPersonId=None, toPersonEmail=None,
text=None, markdown=None, files=None, attachments=None,
**request_parameters):
"""Post a message to a room.
The files parameter is a list, which accepts multiple values to allow
for future expansion, but currently only one file may be included with
the message.
Args:
roomId(basestring): The room ID.
toPersonId(basestring): The ID of the recipient when sending a
private 1:1 message.
toPersonEmail(basestring): The email address of the recipient when
sending a private 1:1 message.
text(basestring): The message, in plain text. If `markdown` is
specified this parameter may be optionally used to provide
alternate text for UI clients that do not support rich text.
markdown(basestring): The message, in markdown format.
files(list): A list of public URL(s) or local path(s) to files to
be posted into the room. Only one file is allowed per message.
attachments(list): Content attachments to attach to the message.
See the Cards Guide for more information.
**request_parameters: Additional request parameters (provides
support for parameters that may be added in the future).
Returns:
Message: A Message object with the details of the created message.
Raises:
TypeError: If the parameter types are incorrect.
ApiError: If the Webex Teams cloud returns an error.
ValueError: If the files parameter is a list of length > 1, or if
the string in the list (the only element in the list) does not
contain a valid URL or path to a local file.
"""
check_type(roomId, basestring, optional=True)
check_type(toPersonId, basestring, optional=True)
check_type(toPersonEmail, basestring, optional=True)
check_type(text, basestring, optional=True)
check_type(markdown, basestring, optional=True)
check_type(files, list, optional=True)
check_type(attachments, list, optional=True)
if files:
if len(files) > 1:
raise ValueError("The `files` parameter should be a list with "
"exactly one (1) item. The files parameter "
"is a list, which accepts multiple values to "
"allow for future expansion, but currently "
"only one file may be included with the "
"message.")
check_type(files[0], basestring)
else:
files = None
# Process and serialize attachments
if attachments:
for item, attachment in enumerate(attachments):
check_type(attachment, (dict, AdaptiveCard))
if isinstance(attachments, AdaptiveCard):
attachments[item] = make_attachment(attachment)
post_data = dict_from_items_with_values(
request_parameters,
roomId=roomId,
toPersonId=toPersonId,
toPersonEmail=toPersonEmail,
text=text,
markdown=markdown,
files=files,
attachments=attachments,
)
# API request
if not files or is_web_url(files[0]):
# Standard JSON post
json_data = self._session.post(API_ENDPOINT, json=post_data)
elif is_local_file(files[0]):
# Multipart MIME post
try:
post_data['files'] = open_local_file(files[0])
multipart_data = MultipartEncoder(post_data)
headers = {'Content-type': multipart_data.content_type}
json_data = self._session.post(API_ENDPOINT,
headers=headers,
data=multipart_data)
finally:
post_data['files'].file_object.close()
else:
raise ValueError("The `files` parameter does not contain a vaild "
"URL or path to a local file.")
# Return a message object created from the response JSON data
return self._object_factory(OBJECT_TYPE, json_data)
def get(self, messageId):
"""Get the details of a message, by ID.
Args:
messageId(basestring): The ID of the message to be retrieved.
Returns:
Message: A Message object with the details of the requested
message.
Raises:
TypeError: If the parameter types are incorrect.
ApiError: If the Webex Teams cloud returns an error.
"""
check_type(messageId, basestring)
# API request
json_data = self._session.get(API_ENDPOINT + '/' + messageId)
# Return a message object created from the response JSON data
return self._object_factory(OBJECT_TYPE, json_data)
def delete(self, messageId):
"""Delete a message.
Args:
messageId(basestring): The ID of the message to be deleted.
Raises:
TypeError: If the parameter types are incorrect.
ApiError: If the Webex Teams cloud returns an error.
"""
check_type(messageId, basestring)
# API request
self._session.delete(API_ENDPOINT + '/' + messageId)
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getPrices.py | divir94/News-Analytics | 0 | 1600518 | <filename>getPrices.py
'''
Created on Jun 2, 2014
@author: vidurjoshi
'''
from pandas.io import parsers
from datetime import datetime
def make_url(ticker_symbol,start_date, end_date):
print ticker_symbol
base_url = "http://ichart.finance.yahoo.com/table.csv?s="
a = start_date
b = end_date
dt_url = '%s&a=%d&b=%d&c=%d&d=%d&e=%d&f=%d&g=d&ignore=.csv'% (ticker_symbol, a.month-1, a.day, a.year, b.month-1, b.day,b.year)
return base_url + dt_url
def getPrices(symb, openD, closeD):
url = make_url(symb,openD, closeD)
print url
e = parsers.read_csv(url)
print e
getPrices("GOOG", datetime(2000,1,1), datetime(2012,1,1)) | [
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src/compas_ui/objects/networkobject.py | BlockResearchGroup/compas_ui | 0 | 25292 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from functools import reduce
from operator import mul
from compas.geometry import Point
from compas.geometry import Scale
from compas.geometry import Translation
from compas.geometry import Rotation
from compas.geometry import transform_points
from .object import Object
class NetworkObject(Object):
"""Class for representing COMPAS networkes in Rhino.
Attributes
----------
anchor : int
The node of the network that is anchored to the location of the object.
location : :class:`compas.geometry.Point`
The location of the object.
Default is the origin of the world coordinate system.
scale : float
A uniform scaling factor for the object in the scene.
The scale is applied relative to the location of the object in the scene.
rotation : list[float]
The rotation angles around the 3 axis of the coordinate system
with the origin placed at the location of the object in the scene.
node_xyz : dict[int, list[float]]
The view coordinates of the network object.
"""
SETTINGS = {
'color.nodes': (255, 255, 255),
'color.edges': (0, 0, 0),
'show.nodes': True,
'show.edges': True,
'show.nodelabels': False,
'show.edgelabels': False,
}
def __init__(self, *args, **kwargs):
super(NetworkObject, self).__init__(*args, **kwargs)
self._anchor = None
self._location = None
self._scale = None
self._rotation = None
@property
def network(self):
return self.item
@network.setter
def network(self, network):
self.item = network
@property
def anchor(self):
return self._anchor
@anchor.setter
def anchor(self, node):
if self.network.has_node(node):
self._anchor = node
@property
def location(self):
if not self._location:
self._location = Point(0, 0, 0)
return self._location
@location.setter
def location(self, location):
self._location = Point(*location)
@property
def scale(self):
if not self._scale:
self._scale = 1.0
return self._scale
@scale.setter
def scale(self, scale):
self._scale = scale
@property
def rotation(self):
if not self._rotation:
self._rotation = [0, 0, 0]
return self._rotation
@rotation.setter
def rotation(self, rotation):
self._rotation = rotation
@property
def node_xyz(self):
origin = Point(0, 0, 0)
nodes = list(self.network.nodes())
xyz = self.network.nodes_attributes(['x', 'y', 'z'], keys=nodes)
stack = []
if self.scale != 1.0:
S = Scale.from_factors([self.scale] * 3)
stack.append(S)
if self.rotation != [0, 0, 0]:
R = Rotation.from_euler_angles(self.rotation)
stack.append(R)
if self.location != origin:
if self.anchor is not None:
xyz = self.network.node_attributes(self.anchor, 'xyz')
point = Point(* xyz)
T1 = Translation.from_vector(origin - point)
stack.insert(0, T1)
T2 = Translation.from_vector(self.location)
stack.append(T2)
if stack:
X = reduce(mul, stack[::-1])
xyz = transform_points(xyz, X)
return dict(zip(nodes, xyz))
def select_nodes(self):
raise NotImplementedError
def select_edges(self):
raise NotImplementedError
def modify_nodes(self, nodes, names=None):
raise NotImplementedError
def modify_edges(self, edges, names=None):
raise NotImplementedError
def move_node(self, node):
raise NotImplementedError
def move_edge(self, edge):
raise NotImplementedError
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] |
teamcat_service/doraemon/business/testjob/codecommitlogservice.py | zhangyin2088/Teamcat | 6 | 1617958 | #coding=utf-8
#encoding=utf-8
'''
Created on 2014-12-17
@author: Devuser
'''
from dataaccess.testjob.dal_testjob import DAL_TestJob
from dataaccess.testjob.dal_testproject import DAL_TestProject
from dataaccess.testjob.dal_testsubmition import DAL_TestSubmition
from gatesidelib.svnhelper import SvnHelper
from gatesidelib.githelper import GitHelper
from doraemon.testjob.datamodels.scminfo import SCMInfo
from dataaccess.common.dal_dictvalue import DAL_DictValue
from dataaccess.testjob.dal_codecommitlog import DAL_CodeCommitLog
from doraemon.testjob.models import CodeCommitLog
from gatesidelib.common.simplelogger import SimpleLogger
from gatesidelib.filehelper import FileHelper
from gatesidelib.common.commonhelper import CommonHelper
import time,datetime
import os
class CodeCommitLogService(object):
'''
代码提交日志服务
'''
@staticmethod
def update_commit_log(testjobid):
testjob= DAL_TestJob.gettestjob(testjobid)
if int(testjob.TJProgress)==100 and (testjob.TJCodeLines==0):
SimpleLogger.logger.info("start to get commit log for job:"+ str(testjobid))
CodeCommitLogService.update_svn_commit_log(testjob.TJSubmitionID)
CodeCommitLogService.update_git_commit_log(testjob.TJSubmitionID)
CodeCommitLogService.update_tesjob_codelines(testjobid)
SimpleLogger.logger.info("finished to get commit log for job:"+ str(testjobid))
@staticmethod
def update_tesjob_codelines(testjobid):
SimpleLogger.logger.info("start to update codelines for job:"+ str(testjobid))
testjob= DAL_TestJob.gettestjob(testjobid)
codeCommitLogs=DAL_CodeCommitLog.get_commitlogs_by_submitionid(testjob.TJSubmitionID)
codeLines=0
for codeCommitLog in codeCommitLogs:
if not CodeCommitLogService.is_codecomite_expire(codeCommitLog.CCLCommiteDate):
tempcodelines=int(codeCommitLog.CCLNewCodeLines)
if tempcodelines>30000:
codeLines=codeLines+tempcodelines*0.1
elif tempcodelines<=30000 and tempcodelines>10000:
codeLines=codeLines+tempcodelines*0.2
else:
codeLines=codeLines+tempcodelines
testjob.TJCodeLines=codeLines
DAL_TestJob.updatetestjob(testjob)
SimpleLogger.logger.info("finished to update codelines for job:"+ str(testjobid))
@staticmethod
def is_codecomite_expire(codecommitdate):
if codecommitdate:
commitdate_string=codecommitdate.split('+')[0].strip() #获取+号前的部分时间字符串
try:
commitdate_time=time.strptime(commitdate_string,'%a %b %d %H:%M:%S %Y') #git log 提交日期转化成time格式
except Exception as ex:
commitdate_time=time.strptime(commitdate_string,'%Y-%m-%d %H:%M:%S') #git log 提交日期转化成time格式
commitdate=datetime.date(commitdate_time.tm_year,commitdate_time.tm_mon,commitdate_time.tm_mday) #转化成日期格式
intervals=(datetime.date.today()-commitdate).days
if intervals>90:
SimpleLogger.logger.info("code submit date expire")
return True
else:
return False
@staticmethod
def get_commit_log(submitionid):
pass
@staticmethod
def update_svn_commit_log(submitionid):
SimpleLogger.logger.info("start to process svn commit log for submition:"+ str(submitionid))
testsubmition=DAL_TestSubmition.gettestsubmition(submitionid)
if testsubmition.TPSCodeVersion!=None and testsubmition.TPSCodeVersion.isdigit():
log_file_path=CodeCommitLogService.save_svn_commit_log(testsubmition)
CodeCommitLogService.save_svn_commitlog_2DB(log_file_path, testsubmition)
FileHelper.delete_file(log_file_path)
SimpleLogger.logger.info("finished to process svn commit log for submition:"+ str(submitionid))
@staticmethod
def update_git_commit_log(submitionid):
SimpleLogger.logger.info("start to process git commit log for submition:"+ str(submitionid))
testsubmition=DAL_TestSubmition.gettestsubmition(submitionid)
if testsubmition.TPSCodeVersion!=None and not testsubmition.TPSCodeVersion.isdigit():
CodeCommitLogService.clone_git_project(testsubmition)
# CodeCommitLogService.pull_git_project(testsubmition)
log_file_path=CodeCommitLogService.save_git_commit_log(testsubmition)
SimpleLogger.logger.info(log_file_path)
CodeCommitLogService.save_git_commitlog_2DB(log_file_path, testsubmition)
FileHelper.delete_file(log_file_path)
@staticmethod
def save_svn_commitlog_2DB(logfilepath,testsubmition):
SimpleLogger.logger.info("start to save svn info to db for submition:"+ str(testsubmition.id))
SimpleLogger.logger.info("logfilepaht"+logfilepath)
if os.path.isfile(logfilepath):
SimpleLogger.logger.info("logfile exits")
commitlog=open(logfilepath,'r')
last_commitnumber=CodeCommitLogService.get_lastest_svncommit_number(testsubmition.TPSProductName,testsubmition.id)
SimpleLogger.logger.info(last_commitnumber)
linesets=list()
for line in commitlog:
templine=str(line)
try:
if len(linesets) and templine.startswith('----'):
SimpleLogger.logger.info(templine)
code_commit_log= CodeCommitLogService.init_svncommitlog(linesets,last_commitnumber,testsubmition)
if DAL_CodeCommitLog.get_commitlog_by_commitnumber(code_commit_log.CCLCommiteNumber):
SimpleLogger.logger.info(code_commit_log.CCLCommiteNumber)
pass
else:
if code_commit_log.CCLCommiteNumber==testsubmition.TPSCodeVersion:
SimpleLogger.logger.info(code_commit_log.CCLCommiteNumber)
DAL_CodeCommitLog.save_commitlog(code_commit_log)
break;
else:
SimpleLogger.logger.info("no exits version")
DAL_CodeCommitLog.save_commitlog(code_commit_log)
last_commitnumber=code_commit_log.CCLCommiteNumber
linesets=list()
linesets.append(templine)
else:
linesets.append(templine)
except Exception as ex:
SimpleLogger.logger.error(ex)
continue
SimpleLogger.logger.info("finished to save svn info to db for submition:"+ str(testsubmition.id))
@staticmethod
def save_git_commitlog_2DB(logfilepath,testsubmition):
linesets=CodeCommitLogService.process_git_commitlog(logfilepath)
linesets.reverse()
last_commitnumber=CodeCommitLogService.get_lastest_gitcommit_number(testsubmition.TPSProductName,testsubmition.id)
if last_commitnumber=="0":
last_commitnumber=""
for linelist in linesets:
try:
code_commit_log= CodeCommitLogService.init_gitcommitlog(linelist, last_commitnumber, testsubmition)
if DAL_CodeCommitLog.get_commitlog_by_commitnumber(code_commit_log.CCLCommiteNumber): # 已经存在的条目不再写入
pass
else:
if code_commit_log.CCLCommiteNumber==testsubmition.TPSCodeVersion:
DAL_CodeCommitLog.save_commitlog(code_commit_log)
break;
else:
SimpleLogger.logger.info("no exists commit version:"+code_commit_log.CCLCommiteNumber)
DAL_CodeCommitLog.save_commitlog(code_commit_log)
last_commitnumber=code_commit_log.CCLCommiteNumber
except Exception as ex:
SimpleLogger.logger.error(ex)
continue
@staticmethod
def init_gitcommitlog(linelist,startrevision,testsubmition):
code_commit_log=CodeCommitLog()
code_commit_log=CodeCommitLogService.extract_gitcommitlog(linelist, code_commit_log)
commitloglines=[linelist[i] for i in range(len(linelist)) if i>3]
code_commit_log.CCLCommiteLog=str(commitloglines).decode('gb2312')[0:10000]
codelinecounts=CodeCommitLogService.get_git_line_counts(testsubmition,startrevision,code_commit_log.CCLCommiteNumber)
code_commit_log.CCLNewCodeLines=int(codelinecounts[0])
code_commit_log.CCLDeletedCodeLines=int(codelinecounts[1])
code_commit_log.CCLProductID=testsubmition.TPSProductName
code_commit_log.CCLProductVersion=testsubmition.TPSProductVersion
code_commit_log.CCLSubmitionID=testsubmition.id
return code_commit_log
@staticmethod
def process_git_commitlog(logfilepath):
if os.path.isfile(logfilepath):
commitlog=open(logfilepath,'r')
templinesets=list()
linesets=list()
for line in commitlog:
templine=str(line)
try:
if len(templinesets) and templine.startswith('commit'):
linesets.append(templinesets)
templinesets=list()
templinesets.append(templine)
else:
templinesets.append(templine)
except Exception as ex:
SimpleLogger.logger.error(ex)
continue
return linesets
@staticmethod
def init_svncommitlog(linelist,startrevision,testsubmition):
code_commit_log=CodeCommitLog()
code_commit_log=CodeCommitLogService.extract_svncommitlog(linelist[1],code_commit_log)
commitloglines=[linelist[i] for i in range(len(linelist)) if i>1]
code_commit_log.CCLCommiteLog=str(commitloglines).decode('gb2312')[0:10000]
code_commit_log.CCLNewCodeLines=int(CodeCommitLogService.get_svn_line_counts(testsubmition,startrevision,code_commit_log.CCLCommiteNumber,True))
code_commit_log.CCLDeletedCodeLines=int(CodeCommitLogService.get_svn_line_counts(testsubmition,startrevision,code_commit_log.CCLCommiteNumber,False))
code_commit_log.CCLProductID=testsubmition.TPSProductName
code_commit_log.CCLProductVersion=testsubmition.TPSProductVersion
code_commit_log.CCLSubmitionID=testsubmition.id
return code_commit_log
@staticmethod
def extract_svncommitlog(line,code_commit_log):
logInfos=line.split('|')
if len(logInfos):
code_commit_log.CCLCommiteNumber=logInfos[0].replace('r','').strip()
code_commit_log.CCLCommitor=logInfos[1].strip()
code_commit_log.CCLCommiteDate=str(logInfos[2].strip()).decode("gb2312")
return code_commit_log
@staticmethod
def extract_gitcommitlog(linesets,code_commit_log):
for line in linesets:
if str(line).startswith("commit"):
code_commit_log.CCLCommiteNumber=line.replace('commit','').strip()
if str(line).startswith("Author"):
code_commit_log.CCLCommitor=line.replace('Author:','').strip()
if str(line).startswith("Date"):
code_commit_log.CCLCommiteDate=line.replace('Date:','').strip()
return code_commit_log
@staticmethod
def save_svn_commit_log(testsubmition):
SimpleLogger.logger.info("start to save svn commit log for submition:"+ str(testsubmition.id))
scm_info=CodeCommitLogService.get_svn_scminfo(testsubmition.TPSProductName)
scm_local_file_path=scm_info.localdir+str(time.time())+".log"
svn_helper=SvnHelper(testsubmition.TPSCodeUrl,scm_info.scmuser,scm_info.scmpassword,scm_local_file_path)
last_commit_number=CodeCommitLogService.get_lastest_svncommit_number(testsubmition.TPSProductName,testsubmition.id)
if last_commit_number!='0':
last_commit_number=str(int(last_commit_number)+1)
svn_helper.save_commitlog(last_commit_number,testsubmition.TPSCodeVersion)
SimpleLogger.logger.info("finished to save svn commit log for submition:"+ str(testsubmition.id))
return scm_local_file_path
@staticmethod
def save_git_commit_log(testsubmition):
scm_info=CodeCommitLogService.get_git_scminfo(testsubmition.TPSProductName)
scm_local_file_path=scm_info.localdir+CommonHelper.get_slash()+str(time.time())+".log"
git_url=CodeCommitLogService.generate_git_url(testsubmition.TPSCodeUrl,scm_info.scmuser,scm_info.scmpassword)
git_helper=GitHelper(git_url,scm_info.localdir+CommonHelper.get_slash()+".git",scm_local_file_path)
# if CodeCommitLogService.has_gitlog_indb(testsubmition.TPSProductName,testsubmition.id):
# git_helper.save_commitlog("-200")
# else:
git_helper.save_commitlog("")
return scm_local_file_path
@staticmethod
def generate_git_url(sourceurl,username,password):
sourceurllist=sourceurl.split("//")
return sourceurllist[0]+"//"+username+":"+password+"@"+sourceurllist[1]
@staticmethod
def clone_git_project(testsubmition):
SimpleLogger.logger.info("start to clone git project for submition:"+ str(testsubmition.id))
scm_info=CodeCommitLogService.get_git_scminfo(testsubmition.TPSProductName)
scm_local_file_path=scm_info.localdir+str(time.time())+".log"
codeurlinfo=CodeCommitLogService.get_codeurlinfo(testsubmition.TPSCodeUrl)
git_url=CodeCommitLogService.generate_git_url(codeurlinfo[0],scm_info.scmuser,scm_info.scmpassword)
git_helper=GitHelper(git_url,scm_info.localdir,scm_local_file_path)
git_helper.clone_project(codeurlinfo[1])
FileHelper.delete_file(scm_local_file_path)
SimpleLogger.logger.info("finished to clone git project for submition:"+ str(testsubmition.id))
@staticmethod
def pull_git_project(testsubmition):
SimpleLogger.logger.info("start to pull git project for submition:"+ str(testsubmition.id))
scm_info=CodeCommitLogService.get_git_scminfo(testsubmition.TPSProductName)
scm_local_file_path=scm_info.localdir+str(time.time())+".log"
git_url=CodeCommitLogService.generate_git_url(testsubmition.TPSCodeUrl,scm_info.scmuser,scm_info.scmpassword)
git_helper=GitHelper(git_url+" master",scm_info.localdir+CommonHelper.get_slash()+".git",scm_local_file_path)
git_helper.pull_project()
FileHelper.delete_file(scm_local_file_path)
@staticmethod
def get_svn_line_counts(testsubmition,startrevison,endrevison,is_newcode):
scm_info=CodeCommitLogService.get_svn_scminfo(testsubmition.TPSProductName)
scm_local_file_path=scm_info.localdir+str(time.time())+".log"
svn_helper=SvnHelper(testsubmition.TPSCodeUrl,scm_info.scmuser,scm_info.scmpassword,scm_local_file_path)
if is_newcode:
codeline_counts=svn_helper.get_newcode_lines(startrevison,endrevison)
else:
codeline_counts=svn_helper.get_deletecode_lines(startrevison,endrevison)
FileHelper.delete_file(scm_local_file_path)
return codeline_counts
@staticmethod
def get_git_line_counts(testsubmition,startrevison,endrevison):
scm_info=CodeCommitLogService.get_git_scminfo(testsubmition.TPSProductName)
scm_local_file_path=scm_info.localdir+CommonHelper.get_slash()+str(time.time())+".log"
git_helper=GitHelper("",scm_info.localdir+CommonHelper.get_slash()+".git",scm_local_file_path)
codeline_counts= git_helper.get_changecode_lines(startrevison, endrevison)
FileHelper.delete_file(scm_local_file_path)
return codeline_counts
@staticmethod
def has_gitlog_indb(productid,submitionid):
commitLogSets=DAL_CodeCommitLog.get_commitlog_by_productid(productid)
target_submition=DAL_TestSubmition.gettestsubmition(submitionid)
result=False
for commitlog in commitLogSets:
tempSubmition=DAL_TestSubmition.gettestsubmition(commitlog.CCLSubmitionID)
if tempSubmition.TPSPlatform==target_submition.TPSPlatform:
result=True
break
return result
@staticmethod
def get_lastest_gitcommit_number(productid,submitionid):
commitLogSets=DAL_CodeCommitLog.get_commitlog_by_productid(productid)
target_submition=DAL_TestSubmition.gettestsubmition(submitionid)
result='0'
for commitlog in commitLogSets:
tempSubmition=DAL_TestSubmition.gettestsubmition(commitlog.CCLSubmitionID)
if tempSubmition.TPSPlatform==target_submition.TPSPlatform:
if not commitlog.CCLCommiteNumber.isdigit():
result=commitlog.CCLCommiteNumber
break
return result
@staticmethod
def get_lastest_svncommit_number(productid,submitionid):
commitLogSets=DAL_CodeCommitLog.get_commitlog_by_productid(productid)
target_submition=DAL_TestSubmition.gettestsubmition(submitionid)
result='0'
for commitlog in commitLogSets:
tempSubmition=DAL_TestSubmition.gettestsubmition(commitlog.CCLSubmitionID)
if tempSubmition.TPSPlatform==target_submition.TPSPlatform:
if commitlog.CCLCommiteNumber.isdigit():
result=commitlog.CCLCommiteNumber
break
return result
@staticmethod
def get_svn_scminfo(productnameid):
return CodeCommitLogService.get_scminfo(productnameid,'SvnUser','SvnPassword','SvnCodeRoot')
@staticmethod
def get_git_scminfo(productnameid):
return CodeCommitLogService.get_scminfo(productnameid,'GitUser','GitPassword','GitCodeRoot')
@staticmethod
def get_scminfo(productnameid,user_dicdataname,password_dicdataname,coderoot_dicdataname):
scm_user=str(DAL_DictValue.getdatavaluebydataname("SCMInfo",user_dicdataname).DicDataDesc)
scm_password=str(DAL_DictValue.getdatavaluebydataname("SCMInfo",password_dicdataname).DicDataDesc)
scm_desc=str(DAL_TestProject.get_testproject(productnameid).TPKEY)
scm_coderoot=str(DAL_DictValue.getdatavaluebydataname("SCMInfo",coderoot_dicdataname).DicDataDesc)
scm_info=SCMInfo(scm_user,scm_password,scm_coderoot+CommonHelper.get_slash()+scm_desc)
return scm_info
@staticmethod
def get_codeurlinfo(sourceurl):
print(sourceurl)
result=list()
if sourceurl:
urlinfos=sourceurl.split(":")
result.append(urlinfos[0]+":"+urlinfos[1].strip())
if len(urlinfos)<3:
result.append('master')
else:
startindex=urlinfos[2].rindex('/')
branch=str(urlinfos[2])[startindex+1:]
result.append(branch)
return result
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dawn/prepare_dawn_bs.py | McCrearyD/imagenet18 | 716 | 144268 | <reponame>McCrearyD/imagenet18<filename>dawn/prepare_dawn_bs.py
#!/usr/bin/env python
#
# Prepares DAWN TSV file from TensorBoard events url
import sys, os, re
from dateutil import parser
events_url = 'https://s3.amazonaws.com/yaroslavvb/logs/release-sixteen.04.events'
import os
import glob
import numpy as np
import datetime as dt
import pytz
from tensorflow.python.summary import summary_iterator
import argparse
parser = argparse.ArgumentParser(description='launch')
parser.add_argument('--ignore-eval', action='store_true',
help='ignore eval time')
args = parser.parse_args()
def get_events(fname, x_axis='step'):
"""Returns event dictionary for given run, has form
{tag1: {step1: val1}, tag2: ..}
If x_axis is set to "time", step is replaced by timestamp
"""
result = {}
events = summary_iterator.summary_iterator(fname)
try:
for event in events:
if x_axis == 'step':
x_val = event.step
elif x_axis == 'time':
x_val = event.wall_time
else:
assert False, f"Unknown x_axis ({x_axis})"
vals = {val.tag: val.simple_value for val in event.summary.value}
# step_time: value
for tag in vals:
event_dict = result.setdefault(tag, {})
if x_val in event_dict:
print(f"Warning, overwriting {tag} for {x_axis}={x_val}")
print(f"old val={event_dict[x_val]}")
print(f"new val={vals[tag]}")
event_dict[x_val] = vals[tag]
except Exception as e:
print(e)
pass
return result
def datetime_from_seconds(seconds, timezone="US/Pacific"):
"""
timezone: pytz timezone name to use for conversion, ie, UTC or US/Pacific
"""
return dt.datetime.fromtimestamp(seconds, pytz.timezone(timezone))
def download_file(url):
import urllib.request
response = urllib.request.urlopen(url)
data = response.read()
return data
def main():
with open('/tmp/events', 'wb') as f:
f.write(download_file(events_url))
events_dict=get_events('/tmp/events', 'step')
# build step->time dict for eval events
lr = events_dict['sizes/batch']
for step in lr:
print('{"batch_size": '+str(16*8*lr[step])+', "example": '+str(step)+"},")
if __name__=='__main__':
main()
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29915,
1649,
3396,
1649,
2396,
13,
29871,
1667,
580,
13,
2
] |
ai/get_cannabis_data/get_data_ma_draft.py | cannlytics/cannlytics-ai | 2 | 167977 | """
Title | Project
Author: <NAME>
Contact: <<EMAIL>>
Created:
Updated:
License: MIT License <https://github.com/cannlytics/cannlytics-ai/blob/main/LICENSE>
"""
# Initialize a Socrata client.
# app_token = os.environ.get('APP_TOKEN', None)
# client = Socrata('opendata.mass-cannabis-control.com', app_token)
# # Get sales by product type.
# products = client.get('xwf2-j7g9', limit=2000)
# products_data = pd.DataFrame.from_records(products)
# # Get licensees.
# licensees = client.get("hmwt-yiqy", limit=2000)
# licensees_data = pd.DataFrame.from_records(licensees)
# # Get the monthly average price per ounce.
# avg_price = client.get("rqtv-uenj", limit=2000)
# avg_price_data = pd.DataFrame.from_records(avg_price)
# # Get production stats (total employees, total plants, etc.)
# production = client.get("j3q7-3usu", limit=2000, order='saledate DESC')
# production_data = pd.DataFrame.from_records(production) | [
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tests/test_streamlit.py | raahoolkumeriya/whatsapp-chat-streamlit | 4 | 123486 | import time
from seleniumbase import BaseCase
import cv2
class ComponentsTest(BaseCase):
def test_basic(self):
# open the app and take a screenshot
self.open(
"https://share.streamlit.io/raahoolkumeriya/\
whatsapp-chat-streamlit/main/app.py")
time.sleep(10) # give leaflet time to load from web
self.save_screenshot("current-screenshot.png")
self.check_window(name="first_test", baseline=True)
# self.assert_text("WhatsApp Chat Processor")
# test screenshots look exactly the same
original = cv2.imread(
"visual_baseline/test_basic/first_test/screenshot.png")
duplicate = cv2.imread("current-screenshot.png")
assert original.shape == duplicate.shape
difference = cv2.subtract(original, duplicate)
b, g, r = cv2.split(difference)
assert cv2.countNonZero(b) == \
cv2.countNonZero(g) == cv2.countNonZero(r) == 0
| [
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surround/django/context_cache.py | sniegu/django-surround | 1 | 50505 | from functools import wraps
from contextlib import contextmanager
from threading import local
thread_local = local()
from surround.django.logging import setupModuleLogger
setupModuleLogger(globals())
class LocalCacheBackend(object):
def __init__(self):
self.backend = {}
def get(self, key):
return self.backend.get(key, None)
def set(self, key, value):
self.backend[key] = value
def cached(func):
name = func.__module__ + '.' + func.__name__
def _get_key(args, kwargs):
return name + ':a:' + ','.join(map(str, args)) + ':kw:' + ','.join(['%s=%s' % (k, v) for k, v in kwargs.items()])
@wraps(func)
def wrapped(*args, **kwargs):
current = get_active()
if current is None:
return func(*args, **kwargs)
key = _get_key(args, kwargs)
cached_value = current.get(key)
if cached_value is not None:
return cached_value
result = func(*args, **kwargs)
current.set(key, result)
return result
def _force(value, args=[], kwargs={}):
key = _get_key(args, kwargs)
current = get_active()
if current is None:
raise Exception('forcing context cache value outside context')
current.set(key, value)
wrapped._force = _force
wrapped._get_key = _get_key
return wrapped
@contextmanager
def make_active(current):
old = getattr(thread_local, 'backend', None)
thread_local.backend = current
try:
yield current
finally:
if old is not None:
thread_local.backend = old
else:
del thread_local.backend
def wrap_with_current(func):
current = get_active()
@wraps(func)
def wrapped(*args, **kwargs):
with make_active(current):
return func(*args, **kwargs)
return wrapped
def wrap_with_activate(func):
@wraps(func)
def wrapped(*args, **kwargs):
with activate():
return func(*args, **kwargs)
return wrapped
def wrap_with_assure_active(func):
@wraps(func)
def wrapped(*args, **kwargs):
with assure_active():
return func(*args, **kwargs)
return wrapped
def activate():
return make_active(LocalCacheBackend())
@contextmanager
def assure_active():
current = get_active()
if current is not None:
yield
else:
with activate():
yield
def deactivate():
return make_active(None)
def get_active():
return getattr(thread_local, 'backend', None)
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Source/Tools/BindTool/writer.py | ssinai1/rbfx | 441 | 28841 | <filename>Source/Tools/BindTool/writer.py<gh_stars>100-1000
class InterfaceWriter(object):
def __init__(self, output_path):
self._output_path_template = output_path + '/_{key}_{subsystem}.i'
self._fp = {
'pre': {},
'post': {},
}
def _write(self, key, subsystem, text):
subsystem = subsystem.lower()
fp = self._fp[key].get(subsystem)
if fp is None:
self._fp[key][subsystem] = fp = open(self._output_path_template.format(key=key, subsystem=subsystem), 'w+')
fp.write(text)
fp.write('\n')
def write_pre(self, subsystem, text):
self._write('pre', subsystem, text)
def write_post(self, subsystem, text):
self._write('post', subsystem, text)
def close(self):
for fp_map in self._fp.values():
for fp in fp_map.values():
fp.close()
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formats/Empty_Tokens.py | jimbro1000/cas2bas | 2 | 199557 | from formats.Utility import invert_dictionary
KEYWORD = 0
FUNCTION = 1
MAXIMUM_KEYWORD = 0x80
MAXIMUM_FUNCTION = 0x80
MAXIMUM_TOKEN_LENGTH = 7
FUNCTION_OFFSET = 0xff00
EXPECTING_LINE_NUMBER = 1
EXPECTING_INITIAL_WHITE_SPACE = 2
EXPECTING_TOKEN = 3
EXPECTING_LITERAL_OR_WHITE_SPACE = 4
EXPECTING_STRING_LITERAL = 5
EXPECTING_LITERAL_TO_EOL = 6
CLOSE_LINE = 7
MATCH_NEXT_SINGLE_CHARACTER = 5
MATCH_NUMERIC_CHARACTER = 4
MATCH_RESERVED_CHARACTER = 3
MATCH_TOKEN = 2
NO_MATCH = 1
TAB = "\t"
EOL = "\n"
CR = "\r"
SPACE = " "
STRING_DELIMITER = '"'
COLON = ":"
SEMICOLON = ";"
COMMA = ","
STRING_IDENTIFIER = "$"
OPEN_BRACKET = "("
CLOSE_BRACKET = ")"
class EmptyToken(object):
keyword_token_dictionary = {}
function_token_dictionary = {}
reserved_literals = [
SPACE,
STRING_DELIMITER,
COLON,
CR,
EOL,
SEMICOLON,
COMMA
]
def __init__(self):
self.state = KEYWORD
self.max_keyword = MAXIMUM_KEYWORD
self.max_function = MAXIMUM_FUNCTION
self.name = "Empty tokens"
self.keyword_dictionary = invert_dictionary(
self.keyword_token_dictionary)
self.function_dictionary = invert_dictionary(
self.function_token_dictionary)
def convert(self, byte):
"""Translates a byte to a string. Ascii characters are literal,
values over 127 are tokens or token sequences.
Not all token values are valid."""
if byte < 128:
return chr(byte)
if self.state == FUNCTION:
if byte <= self.max_function:
function = self.function_token_dictionary.get(byte)
self.state = KEYWORD
return function
else:
return "invalid function token"
if byte == 255:
if self.max_function > 0:
self.state = FUNCTION
return ""
else:
return "invalid extension token"
if byte <= self.max_keyword:
return self.keyword_token_dictionary.get(byte)
else:
return "invalid keyword token"
def match(self, sample):
valid = False
token = sample
if self.keyword_dictionary.get(sample) is not None:
valid = True
token = self.keyword_dictionary.get(sample)
if not valid and self.function_dictionary.get(sample) is not None:
valid = True
token = FUNCTION_OFFSET + self.function_dictionary.get(sample)
return valid, token
def is_reserved(self, sample):
result = False
reserved = None
for item in self.reserved_literals:
if item == sample:
result = True
reserved = item
return result, reserved
@staticmethod
def is_numeric(sample):
return "0" <= sample <= "9"
@staticmethod
def word_to_bytes(word):
msb = (word & 0xff00) >> 8
lsb = word & 0xff
return msb, lsb
def parse_line(self, plain):
""" parse_line "assumes" that the plain input is a correctly
constructed basic program statement """
def process_line(char, line_number):
if self.is_numeric(char):
line_number += char
return 1, line_number
return 0, line_number
def process_white_space(char):
if char == SPACE or char == TAB:
return 1
else:
return 0
def append_to_stream(value, stream):
if type(value) == str:
value = ord(value)
if value > 0xff:
msb, lsb = self.word_to_bytes(value)
stream.append(msb)
stream.append(lsb)
else:
stream.append(value)
return stream
def build_token(char, sample):
is_reserved = False
numeric = self.is_numeric(char)
any_reserved, not_used = self.is_reserved(char)
sample += char
if sample == char:
is_reserved = any_reserved
valid, test_key = self.match(sample)
single_valid, single_key = self.match(char)
if numeric:
return MATCH_NUMERIC_CHARACTER, sample, None
if is_reserved:
return MATCH_RESERVED_CHARACTER, sample, None
elif valid:
return MATCH_TOKEN, sample, test_key
elif single_valid:
return MATCH_NEXT_SINGLE_CHARACTER, sample[:-1], single_key
elif any_reserved:
return MATCH_NEXT_SINGLE_CHARACTER, sample[:-1], char
else:
return NO_MATCH, sample, None
plain_array = list(plain)
state = EXPECTING_LINE_NUMBER
line = ""
statement = []
token = ""
result = 0
loop = len(plain_array) > 0
next_char = plain_array.pop(0)
while loop:
if state == EXPECTING_LINE_NUMBER:
outcome, line = process_line(next_char, line)
if outcome == 0:
state = EXPECTING_INITIAL_WHITE_SPACE
else:
next_char = plain_array.pop(0)
elif state == EXPECTING_INITIAL_WHITE_SPACE:
outcome = process_white_space(next_char)
if outcome == 0:
state = EXPECTING_TOKEN
else:
next_char = plain_array.pop(0)
elif state == EXPECTING_TOKEN:
outcome, token, key = build_token(next_char, token)
if outcome == MATCH_NEXT_SINGLE_CHARACTER:
while len(token) > 0:
statement = append_to_stream(
token[0], statement
)
token = token[1:]
if key == EOL or key == CR:
state = CLOSE_LINE
elif key == COLON:
statement = append_to_stream(key, statement)
token = ""
next_char = plain_array.pop(0)
elif key == STRING_DELIMITER:
state = EXPECTING_STRING_LITERAL
statement = append_to_stream(key, statement)
token = ""
next_char = plain_array.pop(0)
elif key == SEMICOLON \
or key == COMMA:
statement = append_to_stream(key, statement)
token = ""
next_char = plain_array.pop(0)
else:
statement = append_to_stream(key, statement)
token = ""
next_char = plain_array.pop(0)
elif outcome == MATCH_NUMERIC_CHARACTER:
while len(token) > 0:
statement = append_to_stream(
token[0], statement
)
token = token[1:]
token = ""
next_char = plain_array.pop(0)
elif outcome == MATCH_RESERVED_CHARACTER:
if token == COLON \
or token == SEMICOLON \
or token == COMMA:
statement = append_to_stream(token, statement)
token = ""
next_char = plain_array.pop(0)
elif token == EOL or token == CR:
state = CLOSE_LINE
elif token == SPACE:
statement = append_to_stream(token, statement)
next_char = plain_array.pop(0)
token = ""
elif token == STRING_DELIMITER:
statement = append_to_stream(token, statement)
next_char = plain_array.pop(0)
token = ""
state = EXPECTING_STRING_LITERAL
elif outcome == MATCH_TOKEN:
state = EXPECTING_TOKEN
if token == "ELSE":
if statement[-1:][0] != ord(COLON):
statement = append_to_stream(COLON, statement)
elif token == "REM":
state = EXPECTING_LITERAL_TO_EOL
elif token == "'":
state = EXPECTING_LITERAL_TO_EOL
elif token == "DATA":
state = EXPECTING_LITERAL_TO_EOL
token = ""
statement = append_to_stream(key, statement)
next_char = plain_array.pop(0)
elif outcome == NO_MATCH:
if next_char == STRING_IDENTIFIER \
or next_char == OPEN_BRACKET \
or next_char == CLOSE_BRACKET:
while len(token) > 0:
statement = append_to_stream(
token[0], statement
)
token = token[1:]
token = ""
next_char = plain_array.pop(0)
elif state == EXPECTING_LITERAL_OR_WHITE_SPACE:
reserved, token = self.is_reserved(next_char)
if reserved:
if token == EOL:
state = CLOSE_LINE
elif token == CR:
next_char = plain_array.pop(0)
elif token == ":":
statement = append_to_stream(token, statement)
state = EXPECTING_TOKEN
next_char = plain_array.pop(0)
token = ""
elif token == '"':
statement = append_to_stream(token, statement)
state = EXPECTING_STRING_LITERAL
next_char = plain_array.pop(0)
else:
statement = append_to_stream(next_char, statement)
next_char = plain_array.pop(0)
elif state == EXPECTING_STRING_LITERAL:
reserved, token = self.is_reserved(next_char)
if token == EOL or token == CR:
statement = append_to_stream(0, statement)
loop = False
result = -1
elif token == STRING_DELIMITER:
statement = append_to_stream(token, statement)
state = EXPECTING_TOKEN
token = ""
next_char = plain_array.pop(0)
else:
statement = append_to_stream(next_char, statement)
next_char = plain_array.pop(0)
elif state == EXPECTING_LITERAL_TO_EOL:
if next_char == EOL:
state = CLOSE_LINE
elif next_char == CR:
next_char = plain_array.pop(0)
else:
statement = append_to_stream(next_char, statement)
next_char = plain_array.pop(0)
elif state == CLOSE_LINE:
statement = append_to_stream(0, statement)
loop = False
result = 0
return result, line, statement
def parse_program(self, program, load_address):
def extract_line(plain_text):
next_eol = plain_text.find(EOL)
if next_eol == -1:
if len(plain_text) > 0:
next_line = plain_text + EOL
else:
next_line = ""
remaining = ""
else:
next_line = plain_text[:next_eol + 1]
remaining = plain_text[next_eol + 1:]
return next_line, remaining
result = 0
loop = len(program) > 0
stream = []
load_address += 1
while loop:
sample, program = extract_line(program)
if len(sample) > 0:
result, line_number, line_bytes = self.parse_line(sample)
if result == 0:
load_address += 4 + len(line_bytes)
msb, lsb = self.word_to_bytes(load_address)
stream += [msb, lsb]
msb, lsb = self.word_to_bytes(int(line_number))
stream += [msb, lsb]
stream += line_bytes
loop = result == 0 and len(program) > 0
stream += [0, 0]
return result, bytearray(stream)
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] |
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