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# -*- coding: utf-8 -*- # Generated by Django 1.9.5 on 2016-07-02 08:29 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('pyday_calendar', '0001_initial'), ] operations = [ migrations.RemoveField( model_name='event', name='day', ), migrations.RemoveField( model_name='event', name='month', ), migrations.RemoveField( model_name='event', name='year', ), migrations.AlterField( model_name='event', name='from_time', field=models.IntegerField(), ), migrations.AlterField( model_name='event', name='importance', field=models.CharField(choices=[('NO', 'not important'), ('SH', 'should be done'), ('MI', 'midly important'), ('I', 'important'), ('VI', 'very important'), ('EI', 'extremely important')], default='1', max_length=20), ), migrations.AlterField( model_name='event', name='to_time', field=models.IntegerField(), ), ]
import json from copy import deepcopy from dataclasses import asdict from functools import wraps from typing import TYPE_CHECKING import numpy as np import pyarrow as pa import xxhash from .info import DatasetInfo from .utils.py_utils import dumps if TYPE_CHECKING: from .arrow_dataset import Dataset def hashregister(t): def proxy(func): Hasher.dispatch[t] = func return func return proxy class Hasher: """Hasher that accepts python objets as inputs.""" dispatch = {} def __init__(self): self.m = xxhash.xxh64() @classmethod def hash_bytes(cls, value): value = [value] if isinstance(value, bytes) else value m = xxhash.xxh64() for x in value: m.update(x) return m.hexdigest() @classmethod def hash_default(cls, value): return cls.hash_bytes(dumps(value)) @classmethod def hash(cls, value): if type(value) in cls.dispatch: return cls.dispatch[type(value)](cls, value) else: return cls.hash_default(value) def update(self, value): self.m.update(f"=={type(value)}==".encode("utf8")) self.m.update(self.hash(value).encode("utf-8")) def hexdigest(self): return self.m.hexdigest() # Register a new hasher can be useful for two possible reasons: # 1 - optimize the hashing of large amount of data (e.g. pa.Table) # 2 - take advantage of a custom serialization method (e.g. DatasetInfo) @hashregister(pa.Table) def _hash_pa_table(hasher, value): def _hash_pa_array(value): if isinstance(value, pa.ChunkedArray): return hasher.hash_bytes(c.to_string() for c in value.chunks) else: return hasher.hash_bytes(value) value = "-".join(col + "-" + _hash_pa_array(value[col]) for col in sorted(value.column_names)) return hasher.hash_bytes(value.encode("utf-8")) @hashregister(DatasetInfo) def _hash_dataset_info(hasher, value): return hasher.hash_bytes(json.dumps(asdict(value)).encode("utf-8")) def generate_fingerprint(dataset): state = dataset.__getstate__() hasher = Hasher() for key in sorted(state): if key == "_fingerprint": continue hasher.update(key) hasher.update(state[key]) return hasher.hexdigest() def update_fingerprint(fingerprint, transform, transform_args): hasher = Hasher() hasher.update(fingerprint) hasher.update(transform) for key in sorted(transform_args): hasher.update(key) hasher.update(transform_args[key]) return hasher.hexdigest() def fingerprint(inplace, use_kwargs=None, ignore_kwargs=None, fingerprint_names=None, randomized_function=None): assert use_kwargs is None or isinstance(use_kwargs, list), "use_kwargs is supposed to be a list, not {}".format( type(use_kwargs) ) assert ignore_kwargs is None or isinstance( ignore_kwargs, list ), "ignore_kwargs is supposed to be a list, not {}".format(type(use_kwargs)) assert not inplace or not fingerprint_names, "fingerprint_names are only used when inplace is False" fingerprint_names = fingerprint_names if fingerprint_names is not None else ["new_fingerprint"] def _fingerprint(func): assert inplace or all( name in func.__code__.co_varnames for name in fingerprint_names ), "function {} is missing parameters {} in signature".format(func, fingerprint_names) if randomized_function: # randomized function have seed and generator parameters assert "seed" in func.__code__.co_varnames, "'seed' must be in {}'s signature".format(func) assert "generator" in func.__code__.co_varnames, "'generator' must be in {}'s signature".format(func) @wraps(func) def wrapper(*args, **kwargs): self: "Dataset" = args[0] args = args[1:] kwargs_for_fingerprint = dict(kwargs) kwargs_for_fingerprint.update(zip(func.__code__.co_varnames, args)) # keep the right kwargs to be hashed to generate the fingerprint if use_kwargs: kwargs_for_fingerprint = {k: v for k, v in kwargs_for_fingerprint.items() if k in use_kwargs} if ignore_kwargs: kwargs_for_fingerprint = {k: v for k, v in kwargs_for_fingerprint.items() if k not in ignore_kwargs} if randomized_function: # randomized functions have `seed` and `generator` parameters if kwargs_for_fingerprint.get("seed") is None and kwargs_for_fingerprint.get("generator") is None: kwargs_for_fingerprint["generator"] = np.random.default_rng(None) # compute new_fingerprint and add it to the args of not in-place transforms if inplace: new_fingerprint = update_fingerprint(self._fingerprint, func, kwargs_for_fingerprint) new_inplace_history_item = (func.__name__, deepcopy(args), deepcopy(kwargs)) else: for fingerprint_name in fingerprint_names: # transforms like `train_test_split` have several hashes if fingerprint_name not in kwargs: kwargs_for_fingerprint["fingerprint_name"] = fingerprint_name kwargs[fingerprint_name] = update_fingerprint(self._fingerprint, func, kwargs_for_fingerprint) # Call actual function out = func(self, *args, **kwargs) # Update fingerprint of in-place transforms + update in-place history of transforms if inplace: # update after calling func so that the fingerprint doesn't change if the function fails self._fingerprint = new_fingerprint for inplace_hist_per_file in self._inplace_history: inplace_hist_per_file["transforms"].append(new_inplace_history_item) return out wrapper._decorator_name_ = "fingerprint" return wrapper return _fingerprint
from genie.ops.base import Base class Lisp(Base): exclude = []
"""Correct for Earth rotation (Sagnac effect) drift Description: ------------ This model is used for correcting Doppler shift observations by receiver velocity determinition (in Eq. 6-22 in :cite:`zhang2007`). Correction is done either based on precise or broadcast orbits. """ # External library imports import numpy as np # Midgard imports from midgard.collections import enums from midgard.dev import plugins from midgard.math.constant import constant # Where imports from where import apriori @plugins.register def gnss_earth_rotation_drift(dset: "Dataset") -> np.ndarray: """Determine earth rotation drift based on precise or broadcast satellite clock information The correction is caluclated after the description in Section 6.2.9 in :cite:`zhang2007`. Args: dset (Dataset): Model data. Returns: numpy.ndarray: GNSS earth rotation drift for each observation """ correction = np.zeros(dset.num_obs) if "site_vel" not in dset.fields: # TODO: This should be replaced by dset.site_posvel dset.add_float("site_vel", val=np.zeros([dset.num_obs, 3]), unit="meter/second") for sys in dset.unique("system"): idx = dset.filter(system=sys) omega = constant.get("omega", source=enums.gnss_id_to_reference_system[sys]) correction[idx] = ( omega / constant.c * ( dset.site_vel[:, 0][idx] * dset.sat_posvel.trs.y[idx] - dset.site_vel[:, 1][idx] * dset.sat_posvel.trs.x[idx] + dset.site_pos.trs.x[idx] * dset.sat_posvel.trs.vy[idx] - dset.site_pos.trs.y[idx] * dset.sat_posvel.trs.vx[idx] ) ) return correction
""" Copyright 2017-2019 Fizyr (https://fizyr.com) 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 . import Submodel from ... import initializers from ...losses import focal from ...utils.config import set_defaults import tensorflow as tf def default_classification_model( num_classes, num_anchors, pyramid_feature_size=256, prior_probability=0.01, classification_feature_size=256, name='classification_submodel' ): """ Creates the default regression submodel. Args num_classes : Number of classes to predict a score for at each feature level. num_anchors : Number of anchors to predict classification scores for at each feature level. pyramid_feature_size : The number of filters to expect from the feature pyramid levels. prior_probability : Probability for the bias initializer of the last convolutional layer. classification_feature_size : The number of filters to use in the layers in the classification submodel. name : The name of the submodel. Returns A tensorflow.keras.models.Model that predicts classes for each anchor. """ options = { 'kernel_size' : 3, 'strides' : 1, 'padding' : 'same', } if tf.keras.backend.image_data_format() == 'channels_first': inputs = tf.keras.layers.Input(shape=(pyramid_feature_size, None, None)) else: inputs = tf.keras.layers.Input(shape=(None, None, pyramid_feature_size)) outputs = inputs for i in range(4): outputs = tf.keras.layers.Conv2D( filters=classification_feature_size, activation='relu', name='pyramid_classification_{}'.format(i), kernel_initializer=tf.keras.initializers.RandomNormal(mean=0.0, stddev=0.01, seed=None), bias_initializer='zeros', **options )(outputs) outputs = tf.keras.layers.Conv2D( filters=num_classes * num_anchors, kernel_initializer=tf.keras.initializers.RandomNormal(mean=0.0, stddev=0.01, seed=None), bias_initializer=initializers.PriorProbability(probability=prior_probability), name='pyramid_classification', **options )(outputs) # Reshape output and apply sigmoid. if tf.keras.backend.image_data_format() == 'channels_first': outputs = tf.keras.layers.Permute((2, 3, 1), name='pyramid_classification_permute')(outputs) outputs = tf.keras.layers.Reshape((-1, num_classes), name='pyramid_classification_reshape')(outputs) outputs = tf.keras.layers.Activation('sigmoid', name='pyramid_classification_sigmoid')(outputs) return tf.keras.models.Model(inputs=inputs, outputs=outputs, name=name) submodel_defaults = { 'name' : 'classification', 'num_classes' : 0 } class ClassificationSubmodel(Submodel): """ simple classification submodel, performing multi-class prediction. """ def __init__(self, config, **kwargs): """ Constructor for classification submodel. Args config : Defines the configuration of the submodel. It should contain: name : The name of the submodel. num_classes : Number of classes to classify. If not specified, default values indicated above will be used. """ config = set_defaults(config, submodel_defaults) if config['num_classes'] < 1: raise ValueError("Please indicate a positive number of classes for classification submodel.") self.name = config['name'] self.num_classes = config['num_classes'] super(ClassificationSubmodel, self).__init__() def get_name(self): """ Return the name of the submodel. """ return self.name def __repr__(self): """ Return a description of the model. """ return 'ClassificationSubmodel({})'.format(str(self.num_classes)) def size(self): """ Returns the size of the submodel (number of classes). """ return self.num_classes def create(self, **kwargs): """ Create the actual (keras.models.Model) submodel. """ return default_classification_model(num_classes=self.size(), **kwargs) def loss(self): """ Define a loss function for the regression submodel. """ return focal()
import argparse import logging import logging.config from logging import Logger from .utils import split_urls from . import settings from .factories import MoneroFactory from pathlib import Path, PurePath settings.init() path = str(PurePath(Path(__file__).parent.absolute(), settings.logging_config_file)) logging.config.fileConfig(path) logger: Logger = logging.getLogger(__name__) def add_args(): try: parser = argparse.ArgumentParser(description="Publish transactions") requiredNamed = parser.add_argument_group("required named arguments") requiredNamed.add_argument( "-p", "--payment_provider", dest="payment_provider", type=str, help="Provide the payment provider that you're notifying on", required=True, ) requiredNamed.add_argument( "-x", "--tx_id", dest="tx_id", type=str, help="Pass %s, for tx-notify", required=True, ) requiredNamed.add_argument( "-u", "--urls", dest="urls", type=str, help="Specify the apprise url(s) that you would like to use for notification(s), " "use a comma for multiple" "Pushbullet example: pbul://o.gn5kj6nfhv736I7jC3cj3QLRiyhgl98b" "E-mail example: mailto://myuserid:mypass@gmail.com", required=True, ) parser.add_argument( "-b", "--body", dest="body", type=str, help="Specify the url encoded body/msg of the notification you would like to receive, " "hint: try {amount_in_usd} placeholder to convert to fiat" "hint #2: Go to https://www.urlencoder.org/ for easy url encoding", default="Check%20your%20wallet%20for%20more%20details", ) parser.add_argument( "-t", "--title", dest="title", type=str, help="Specify the title of the notification you would like to receive" "This argument is ignored when using Amazon SNS.", default="Received%20transaction%20from%20%7Bpayment_provider%7D", ) parser.add_argument( "-s", "--security_level", dest="security_level", type=int, help="-1 - notifies when tx is in mem_pool or block\n" "0 - notifies when tx is in mem_pool\n" "1:n - notifies when tx has been added to a block and has n confirmations", default=settings.BlockchainSecurity.MEM_POOL_ONLY, ) parser.add_argument( "-c", "--server_config", dest="server_config_file", type=str, help="To retrieve additional data about the transaction, we need to query a server. See the README", default=None, ) parser.add_argument( "-a", "--attach", dest="attach", type=str, help="To retrieve additional data about the transaction, we need to query a server. See the README", default=None, ) parser.add_argument( "--get_tx_details", default=False, dest="get_tx_data", action="store_true", help="Specify this argument if you would like the details of the transaction " "I.e. amount, receiver, etc" "If you use placeholders such as {amount_in_usd} then you need to have this argument", ) parser.add_argument( "--get_raw_tx_data", default=False, dest="get_raw_data", action="store_true", help="Specify this argument if you are forwarding the data to another server" " via json, xml, sns. " "You should be using a redis queue if you want the python object to be passed", ) parser.add_argument( "--debug", default=False, dest="debug", action="store_true", help="Enable additional logging", ) return parser.parse_args() except Exception as e: logger.exception(e) exit(1) def main(): args = add_args() logger.info( f"PaymentProvider: {args.payment_provider} TXID: {args.tx_id} " f"Status: Script executing Action: Processing" ) if args.debug: logging.root.setLevel(logging.DEBUG) else: logging.root.setLevel(logging.INFO) settings.security_level = args.security_level payment_providers = {"Monero": MoneroFactory} if args.payment_provider in payment_providers: transaction_factory = payment_providers[args.payment_provider]( server_config_file=args.server_config_file ) else: logger.critical("The supplied payment provider is not supported") exit(1) try: transaction = transaction_factory.get_transaction( tx_id=args.tx_id, get_tx_data=args.get_tx_data, get_raw_data=args.get_raw_data, ) except Exception as e: logger.exception(e) exit(1) try: apprise_result = transaction.notify( urls=split_urls(args.urls), body=args.body, title=args.title, attach=args.attach, ) if apprise_result: logger.info( f"PaymentProvider: {transaction.payment_provider} TXID: {transaction.tx_id} " f"Status: Notification(s) sent via apprise" ) except Exception as ae: logger.exception(ae) exit(1)
from DeepRTS import Engine, Constants from DeepRTS.python import GUI from DeepRTS.python import Config from DeepRTS.python import DeepRTSPlayer import numpy as np import random import os import argparse import gym dir_path = os.path.dirname(os.path.realpath(__file__)) class Game(Engine.Game): def __init__(self, map_name, n_players=2, engine_config=Engine.Config.defaults(), gui_config=None, tile_size=32, terminal_signal=False ): # This sets working directory, so that the C++ can load files correctly (dir_path not directly accessible in # c++) os.chdir(dir_path) # Override map try: # This sometimmes fails under ray parser = argparse.ArgumentParser(description='Process some integers.') parser.add_argument('--map', action="store", dest="map", type=str) args = parser.parse_args() if args.map is not None: map_name = args.map except: pass # TODO if engine_config: engine_config.set_terminal_signal(terminal_signal) # Disable terminal signal engine_config.set_terminal_signal(terminal_signal) # Call C++ constructor super(Game, self).__init__(map_name, engine_config) # Event listeners self._listeners = { "on_tile_change": [] } self._render_every = 1 self._view_every = 1 self._capture_every = 1 self.gui = GUI(self, tile_size=tile_size, config=gui_config if isinstance(gui_config, Config) else Config()) self._py_players = [] # Keep reference of the py object for i in range(n_players): player = DeepRTSPlayer(self) self.insert_player(player) self._py_players.append(player) # Select first player as default self.set_player(self.players[0]) # Define the action space self.action_space = LimitedDiscrete(Constants.action_min, Constants.action_max) # Define the observation space, here we assume that max is 255 (image) # TODO self.observation_space = gym.spaces.Box( 0, 255, shape=self.get_state().shape, dtype=np.float32) self.start() @property def players(self): return self._py_players @staticmethod def sample_action(self): return int(Engine.Constants.action_max * random.random()) + Engine.Constants.action_min def update(self): self.tick() if self.gui.config.input: self.event() super().update() self.caption() if self.gui.config.render: self.render() if self.gui.config.view: self.view() def _render(self): if self.get_ticks() % self._render_every == 0: self.gui.render() def view(self): if self.get_ticks() % self._view_every == 0: self.gui.view() def event(self): self.gui.event() def capture(self): if self.get_ticks() % self._capture_every == 0: return self.gui.capture() return None def get_state(self, image=False, copy=True): if image: return self.gui.capture(copy=copy) else: return np.array(self.state, copy=copy) def _caption(self): pass def _on_unit_create(self, unit): pass def _on_unit_destroy(self, unit): pass def _on_episode_start(self): pass # for tile in self.tilemap.tiles: # self.gui.gui_tiles.set_tile(tile.x, tile.y, tile.get_type_id()) def _on_episode_end(self): pass def _on_tile_deplete(self, tile): # TODO pass # self.gui.gui_tiles.set_tile(tile.x, tile.y, tile.get_type_id()) def _on_tile_change(self, tile): self.gui.on_tile_change(tile) def set_render_frequency(self, interval): self._render_every = interval def set_player(self, player: DeepRTSPlayer): self.set_selected_player(player) def set_view_every(self, n): self._view_every = n def set_capture_every(self, n): self._capture_every = n
import os os.system("make") check_solution("python3 sol.py", flag)
# -*- coding:utf-8 -*- """ Author: Weichen Shen,wcshen1994@163.com """ import tensorflow as tf from tensorflow.python.keras import backend as K from tensorflow.python.keras.initializers import Zeros, glorot_normal from tensorflow.python.keras.layers import Layer from tensorflow.python.keras.regularizers import l2 from .activation import activation_fun class LocalActivationUnit(Layer): """The LocalActivationUnit used in DIN with which the representation of user interests varies adaptively given different candidate items. Input shape - A list of two 3D tensor with shape: ``(batch_size, 1, embedding_size)`` and ``(batch_size, T, embedding_size)`` Output shape - 3D tensor with shape: ``(batch_size, T, 1)``. Arguments - **hidden_size**:list of positive integer, the attention net layer number and units in each layer. - **activation**: Activation function to use in attention net. - **l2_reg**: float between 0 and 1. L2 regularizer strength applied to the kernel weights matrix of attention net. - **keep_prob**: float between 0 and 1. Fraction of the units to keep of attention net. - **use_bn**: bool. Whether use BatchNormalization before activation or not in attention net. - **seed**: A Python integer to use as random seed. References - [Zhou G, Zhu X, Song C, et al. Deep interest network for click-through rate prediction[C]//Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM, 2018: 1059-1068.](https://arxiv.org/pdf/1706.06978.pdf) """ def __init__(self, hidden_size=(64, 32), activation='sigmoid', l2_reg=0, keep_prob=1, use_bn=False, seed=1024, **kwargs): self.hidden_size = hidden_size self.activation = activation self.l2_reg = l2_reg self.keep_prob = keep_prob self.use_bn = use_bn self.seed = seed super(LocalActivationUnit, self).__init__(**kwargs) self.supports_masking = True def build(self, input_shape): if not isinstance(input_shape, list) or len(input_shape) != 2: raise ValueError('A `LocalActivationUnit` layer should be called ' 'on a list of 2 inputs') if len(input_shape[0]) != 3 or len(input_shape[1]) != 3: raise ValueError("Unexpected inputs dimensions %d and %d, expect to be 3 dimensions" % ( len(input_shape[0]), len(input_shape[1]))) if input_shape[0][-1] != input_shape[1][-1] or input_shape[0][1] != 1: raise ValueError('A `LocalActivationUnit` layer requires ' 'inputs of a two inputs with shape (None,1,embedding_size) and (None,T,embedding_size)' 'Got different shapes: %s,%s' % (input_shape)) size = 4 * \ int(input_shape[0][-1] ) if len(self.hidden_size) == 0 else self.hidden_size[-1] self.kernel = self.add_weight(shape=(size, 1), initializer=glorot_normal( seed=self.seed), name="kernel") self.bias = self.add_weight( shape=(1,), initializer=Zeros(), name="bias") super(LocalActivationUnit, self).build( input_shape) # Be sure to call this somewhere! def call(self, inputs, **kwargs): query, keys = inputs keys_len = keys.get_shape()[1] queries = K.repeat_elements(query, keys_len, 1) att_input = tf.concat( [queries, keys, queries - keys, queries * keys], axis=-1) att_out = MLP(self.hidden_size, self.activation, self.l2_reg, self.keep_prob, self.use_bn, seed=self.seed)(att_input) attention_score = tf.nn.bias_add(tf.tensordot( att_out, self.kernel, axes=(-1, 0)), self.bias) return attention_score def compute_output_shape(self, input_shape): return input_shape[1][:2] + (1,) def compute_mask(self, inputs, mask): return mask def get_config(self,): config = {'activation': self.activation, 'hidden_size': self.hidden_size, 'l2_reg': self.l2_reg, 'keep_prob': self.keep_prob, 'use_bn': self.use_bn, 'seed': self.seed} base_config = super(LocalActivationUnit, self).get_config() return dict(list(base_config.items()) + list(config.items())) class MLP(Layer): """The Multi Layer Percetron Input shape - nD tensor with shape: ``(batch_size, ..., input_dim)``. The most common situation would be a 2D input with shape ``(batch_size, input_dim)``. Output shape - nD tensor with shape: ``(batch_size, ..., hidden_size[-1])``. For instance, for a 2D input with shape ``(batch_size, input_dim)``, the output would have shape ``(batch_size, hidden_size[-1])``. Arguments - **hidden_size**:list of positive integer, the layer number and units in each layer. - **activation**: Activation function to use. - **l2_reg**: float between 0 and 1. L2 regularizer strength applied to the kernel weights matrix. - **keep_prob**: float between 0 and 1. Fraction of the units to keep. - **use_bn**: bool. Whether use BatchNormalization before activation or not. - **seed**: A Python integer to use as random seed. """ def __init__(self, hidden_size, activation='relu', l2_reg=0, keep_prob=1, use_bn=False, seed=1024, **kwargs): self.hidden_size = hidden_size self.activation = activation self.keep_prob = keep_prob self.seed = seed self.l2_reg = l2_reg self.use_bn = use_bn super(MLP, self).__init__(**kwargs) def build(self, input_shape): input_size = input_shape[-1] hidden_units = [int(input_size)] + list(self.hidden_size) self.kernels = [self.add_weight(name='kernel' + str(i), shape=( hidden_units[i], hidden_units[i+1]), initializer=glorot_normal( seed=self.seed), regularizer=l2(self.l2_reg), trainable=True) for i in range(len(self.hidden_size))] self.bias = [self.add_weight(name='bias' + str(i), shape=(self.hidden_size[i],), initializer=Zeros(), trainable=True) for i in range(len(self.hidden_size))] super(MLP, self).build(input_shape) # Be sure to call this somewhere! def call(self, inputs, training=None, **kwargs): deep_input = inputs for i in range(len(self.hidden_size)): fc = tf.nn.bias_add(tf.tensordot( deep_input, self.kernels[i], axes=(-1, 0)), self.bias[i]) # fc = Dense(self.hidden_size[i], activation=None, \ # kernel_initializer=glorot_normal(seed=self.seed), \ # kernel_regularizer=l2(self.l2_reg))(deep_input) if self.use_bn: fc = tf.keras.layers.BatchNormalization()(fc) fc = activation_fun(self.activation, fc) #fc = tf.nn.dropout(fc, self.keep_prob) fc = tf.keras.layers.Dropout(1 - self.keep_prob)(fc,) deep_input = fc return deep_input def compute_output_shape(self, input_shape): if len(self.hidden_size) > 0: shape = input_shape[:-1] + (self.hidden_size[-1],) else: shape = input_shape return tuple(shape) def get_config(self,): config = {'activation': self.activation, 'hidden_size': self.hidden_size, 'l2_reg': self.l2_reg, 'use_bn': self.use_bn, 'keep_prob': self.keep_prob, 'seed': self.seed} base_config = super(MLP, self).get_config() return dict(list(base_config.items()) + list(config.items())) class PredictionLayer(Layer): """ Arguments - **activation**: Activation function to use. - **use_bias**: bool.Whether add bias term or not. """ def __init__(self, activation='sigmoid', use_bias=True, **kwargs): self.activation = activation self.use_bias = use_bias super(PredictionLayer, self).__init__(**kwargs) def build(self, input_shape): if self.use_bias: self.global_bias = self.add_weight( shape=(1,), initializer=Zeros(), name="global_bias") # Be sure to call this somewhere! super(PredictionLayer, self).build(input_shape) def call(self, inputs, **kwargs): x = inputs if self.use_bias: x = tf.nn.bias_add(x, self.global_bias, data_format='NHWC') output = activation_fun(self.activation, x) output = tf.reshape(output, (-1, 1)) return output def compute_output_shape(self, input_shape): return (None, 1) def get_config(self,): config = {'activation': self.activation, 'use_bias': self.use_bias} base_config = super(PredictionLayer, self).get_config() return dict(list(base_config.items()) + list(config.items()))
# Resolve the problem!! import re def run(): encoded_text = "" with open('encoded.txt', 'r', encoding='utf-8') as f: encoded_text = f.read() character_find = re.findall("[a-z]",encoded_text) hidden_word = ''.join(character_find) print(hidden_word) #[ESTE ES EL MENSAJE OCULTO] -> christianvanderhenst if __name__ == '__main__': run()
# Generated by Django 2.0.13 on 2019-05-24 09:51 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [("terra_layer", "0001_initial")] operations = [ migrations.AlterField( model_name="filterfield", name="field", field=models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="filter_field", to="django_geosource.Field", ), ), migrations.AlterField( model_name="filterfield", name="filter_type", field=models.IntegerField(default=0), ), ]
# -*- coding: utf-8 -*- """Command line interface for Axonius API Client.""" from ...context import CONTEXT_SETTINGS, click from ...options import AUTH, add_options OPTIONS = [ *AUTH, click.option( "--for-next-minutes", "-fnm", "for_next_minutes", help="Consider data stable only if next discover will not run in less than N minutes", type=click.INT, default=None, show_envvar=True, show_default=True, ), ] def get_stability(data, for_next_minutes=None, **kwargs): """Pass.""" if data.is_running: if data.is_correlation_finished: return "Discover is running but correlation has finished", True return "Discover is running and correlation has NOT finished", False next_mins = data.next_run_starts_in_minutes reason = f"Discover is not running and next is in {next_mins} minutes" if for_next_minutes: if data.next_run_within_minutes(for_next_minutes): return f"{reason} (less than {for_next_minutes} minutes)", False return f"{reason} (more than {for_next_minutes} minutes)", True return reason, True @click.command(name="is-data-stable", context_settings=CONTEXT_SETTINGS) @add_options(OPTIONS) @click.pass_context def cmd(ctx, url, key, secret, **kwargs): """Return exit code 1 if asset data is stable, 0 if not.""" client = ctx.obj.start_client(url=url, key=key, secret=secret) with ctx.obj.exc_wrap(wraperror=ctx.obj.wraperror): data = client.dashboard.get() reason, is_stable = get_stability(data=data, **kwargs) click.secho(f"Data is stable: {is_stable}, reason: {reason}") ctx.exit(int(is_stable))
#coding:utf-8 import sys from PySide6.QtUiTools import QUiLoader from PySide6.QtWidgets import QApplication, QPushButton, QFileDialog, QStatusBar from PySide6.QtCore import QFile, QIODevice from PySide6 import QtGui version = "1.0" #Autoincrement & arrangement of int def autoIncrementArrangement(list : list, line : str): line = line.replace('auto_increment', 'AUTOINCREMENT') if "int(" in line: numDeb = line.find("int(") for i in range(numDeb, len(line)): if line[i] == ')' : line = line.replace(line[numDeb:i],'INTEGER') line = line.replace(')','') elif "INT(" in line: numDeb = line.find("INT(") for i in range(numDeb, len(line)): if line[i] == ')' : line = line.replace(line[numDeb:i],'INTEGER') line = line.replace(')','') elif "int" in line: line = line.replace('int','INTEGER') return line #Convert method def Convert(importPath : str, exportPath : str, namePY : str, nameDB : str): #---------------------------HEADER-------------------------# finalScript = """""" finalScript += "#coding:utf-8\n" finalScript += "import sqlite3\n" #Read the sql file line by line and store them into lines[] lines = [] with open(importPath, mode="r", encoding="utf-8") as f: lines = f.readlines() lines.append(' ') #Remove all escape characters in files[] escapes = '\b\n\r\t\\' for i in range(0, len(lines)): for c in escapes: lines[i] = lines[i].replace(c, '') #Create .db and create a connection with the DB + create a cursor finalScript += "\n" finalScript += f"con = sqlite3.connect('{nameDB}.db')\n" finalScript += f"con = sqlite3.connect('{nameDB}.db', timeout = 1000)\n" finalScript += "con.rollback()\n" finalScript += "cur = con.cursor()\n" finalScript += "\n" #----------------------------BODY--------------------------# tempLine = "" comBool = False comTemp = "" for line in lines: #Formatting of quotation marks line = line.replace('"', "'") #Retirement of spaces at the beginning of the line line = line.lstrip() #-----------PART OF THE AUTOINCREMENTS & INT-----------# #AutoIncrement & arrangement of int line = autoIncrementArrangement(lines,line) #-------------------PART OF SCHEMES--------------------# #Del all schema (not compatible with sqlite3) if "CREATE SCHEMA" in line : line = "" #-------------------PART OF COMMENTS-------------------# #Replaces comments on multiple lines if (line.find('/*') != -1 and line.find('*/') == -1 or comBool == True): comBool = True comTemp += line if line.find('*/') != -1: comBool = False comTemp = comTemp.replace('/*','#') comTemp = comTemp.replace('*/','') finalScript += '\n' + comTemp + '\n' comTemp = "" #Replaces comments on one line elif ("/*" and "*/") in line : line = line.replace("/*", "#") line = line.replace("*/", "") finalScript += '\n' + line + '\n' #-------------------PART OF SELECT-------------------# # For SELECT operator elif ("SELECT" or "select") in line : if (line[-1:] == ";") : line = line.replace(line[-1:], "") if tempLine == "" : finalScript += '\n' + 'cur.execute("' + line + '")' + '\n' else : finalScript += '\n' + 'cur.execute("' + tempLine + " " + line +'")' + '\n' finalScript += 'print(cur.fetchall())' + '\n' else : tempLine += line + " " #-------------------PART OF CREATION & INSERTION-------------------# #arrange the line if the instruction is on a line elif (line[-1:] == ";" and tempLine == " "): line = line[:-1] line = 'cur .execute("' + line + '")' finalScript += line + '\n' #The next two conditions allow you to arrange an instruction on several lines elif (line[-1:] == ";" and tempLine != ""): line = line[:-1] line = 'cur.execute("' + tempLine + line + '")' finalScript += line + '\n' tempLine = "" else: tempLine += line f.close() #---------------------------FOOTER-------------------------# finalScript += "\ncon.commit()\n" finalScript += "cur.close()\n" finalScript += "con.close()\n" finalScript += 'print("DB crée !")\n' finalScript += 'input()\n' #---------------------------EXPORT-------------------------# #Export in python file if exportPath[-1:] == "/": exportPath = exportPath[:-1] exportScript = open(exportPath+"/"+namePY+".py", mode="w", encoding="utf-8") exportScript.write(finalScript) exportScript.close() #Import Path File def importFile(): fname = QFileDialog.getOpenFileName(filter='*.sql') fileBrowseFile.setText(fname[0]) #Export Path Directory def exportFile(): fname = QFileDialog.getExistingDirectory() fileBrowseExport.setText(fname) #Launch of the conversion def running(importPath : str, exportPath : str, namePY : str, nameDB : str): try: Convert(importPath=importPath, exportPath=exportPath, namePY=namePY, nameDB=nameDB) statusBar.showMessage("Conversion completed at " + exportPath) except FileNotFoundError: statusBar.showMessage("File or directory not found") #MAIN if __name__ == "__main__": app = QApplication(sys.argv) ui_file_name = "./graph/graphs.ui" ui_file = QFile(ui_file_name) if not ui_file.open(QIODevice.ReadOnly): print(f"Cannot open {ui_file_name}: {ui_file.errorString()}") sys.exit(-1) loader = QUiLoader() window = loader.load(ui_file) convertButton = window.convertButton browseButtonFile = window.browseButtonFile browseButtonExport = window.browseButtonExport fileBrowseFile = window.fileBrowseFile fileBrowseExport = window.fileBrowseExport lineNameScript = window.lineNameScript lineNameDB = window.lineNameDB statusBar = window.status statusBar.showMessage("Version " + version) browseButtonFile.clicked.connect(importFile) browseButtonExport.clicked.connect(exportFile) convertButton.clicked.connect(lambda: running(importPath=fileBrowseFile.text(), exportPath=fileBrowseExport.text(), namePY=lineNameScript.text(), nameDB=lineNameDB.text())) ui_file.close() if not window: print(loader.errorString()) sys.exit(-1) window.show() sys.exit(app.exec())
#!/usr/bin/env python3 """ Python command line tool for taking command of your crypto coins Command line tool to fetch and display information from the coinmarketcap API """ import argparse import os import time from modules import API from modules import Displayer __author__ = "Jasper Haasdijk" __version__ = "1.0.0" def parse_args(): parser = argparse.ArgumentParser() parser.add_argument("-v", "--version", action="version", version=__version__) parser.add_argument("-c", help="convert to your preferred fiat currency", choices=API.currencies, default="USD", metavar="currency") parser.add_argument("-f", help="only display your desired coins", default=None, metavar="list") parser.add_argument("-r", help="automatically refresh information every <rate> seconds", default=0, metavar="rate") parser.add_argument("-t", help="display the first <top> currencies", default=10, metavar="top") args = parser.parse_args() if args.f: # if we are focusing on a specific coin, we want to look further than the top 10 listings args.t = 0 default_iteration(args.t, args.c, args.f, args.r) def default_iteration(top, convert, find, refresh): response = API.get_response(top, convert) data = API.parse_response(response) output = Displayer.display_information(data, convert.lower(), find) print(output) while refresh: os.system('cls' if os.name == 'nt' else 'clear') default_iteration(top, convert, find, refresh=False) time.sleep(float(refresh)) if __name__ == '__main__': parse_args()
# 1493. Longest Subarray of 1's After Deleting One Element # User Accepted:3497 # User Tried:3867 # Total Accepted:3616 # Total Submissions:6849 # Difficulty:Medium # Given a binary array nums, you should delete one element from it. # Return the size of the longest non-empty subarray containing only 1's in the resulting array. # Return 0 if there is no such subarray. # Example 1: # Input: nums = [1,1,0,1] # Output: 3 # Explanation: After deleting the number in position 2, [1,1,1] contains 3 numbers with value of 1's. # Example 2: # Input: nums = [0,1,1,1,0,1,1,0,1] # Output: 5 # Explanation: After deleting the number in position 4, # [0,1,1,1,1,1,0,1] longest subarray with value of 1's is [1,1,1,1,1]. # Example 3: # Input: nums = [1,1,1] # Output: 2 # Explanation: You must delete one element. # Example 4: # Input: nums = [1,1,0,0,1,1,1,0,1] # Output: 4 # Example 5: # Input: nums = [0,0,0] # Output: 0 # Constraints: # 1 <= nums.length <= 10^5 # nums[i] is either 0 or 1. # TLE class Solution: def longestSubarray(self, nums: List[int]) -> int: if sum(nums) == len(nums): return sum(nums) - 1 def helper(nums): cnt = 0 res = 0 for i in range(len(nums)): if nums[i] == 1: cnt += 1 if nums[i] == 0: res = max(res, cnt) cnt = 0 res = max(res, cnt) return res t = 0 r = 0 fwd = [0] * len(nums) bwd = [0] * len(nums) leave = [0] * len(nums) for i in range(len(nums)): fwd[i] = helper(nums[:i]) bwd[i] = helper(nums[i+1:]) leave[i] = helper(nums[:i]+nums[i+1:]) res = [0] * len(nums) if nums[0] == 0: res[0] = bwd[0] if nums[-1] == 0: res[0] = fwd[0] tmp = [1] * len(nums) if nums[0] == 0 and nums[1] == 0: tmp[0] = 0 if nums[-1] == 0 and nums[-2] == 0: tmp[0] = 0 for i in range(1, len(nums)-1): if (nums[i] == 0 and nums[i+1] == 0) or (nums[i] == 0 and nums[i-1] == 0): tmp[i] = 0 # print(tmp) for i in range(1, len(nums)-1): if nums[i] == 0 and tmp[i]: res[i] = leave[i] elif nums[i] == 0: res[i] = max(fwd[i], bwd[i]) if nums[i] == 1: res[i] = max(fwd[i], bwd[i]) # for i in range(len(nums)): # res[i] *= tmp[i] # print(fwd, bwd, res) return max(res)
from cemc.mcmc import MCObserver from cemc.mcmc import ReactionCrdInitializer, ReactionCrdRangeConstraint import numpy as np class DiffractionUpdater(object): """ Utility class for all objects that require tracing of a fourier reflection. :param Atoms atoms: Atoms object :param array k_vector: Fourier reflection to be traced :param list active_symbols: List of symbols that contributes to the reflection :param list all_symbols: List of all symbols in the simulation """ def __init__(self, atoms=None, k_vector=[], active_symbols=[], all_symbols=[]): MCObserver.__init__(self) self.orig_symbols = [atom.symbol for atom in atoms] self.k_vector = k_vector self.N = len(atoms) self.k_dot_r = atoms.get_positions().dot(self.k_vector) self.indicator = {k: 0 for k in all_symbols} for symb in active_symbols: self.indicator[symb] = 1.0 self.value = self.calculate_from_scratch(self.orig_symbols) self.prev_value = self.value def update(self, system_changes): """ Update the reflection value """ self.prev_value = self.value for change in system_changes: f_val = np.exp(1j*self.k_dot_r[change[0]])/self.N self.value += self.indicator[change[2]]*f_val self.value -= self.indicator[change[1]]*f_val def undo(self): """ Undo the last update """ self.value = self.prev_value def reset(self): """ Reset all values """ self.value = self.calculate_from_scratch(self.orig_symbols) self.prev_value = self.value def calculate_from_scratch(self, symbols): """Calculate the intensity from sctrach.""" value = 0.0 + 1j*0.0 for i, symb in enumerate(symbols): value += self.indicator[symb]*np.exp(1j*self.k_dot_r[i]) return value / len(symbols) class DiffractionObserver(MCObserver): """ Observer that traces the reflection intensity See docstring of :py:class:`cemc.mcmc.diffraction_observer.DiffractionUpdater` for explination of the arguments. """ def __init__(self, atoms=None, k_vector=[], active_symbols=[], all_symbols=[], name="reflect"): MCObserver.__init__(self) self.updater = DiffractionUpdater( atoms=atoms, k_vector=k_vector, active_symbols=active_symbols, all_symbols=all_symbols) self.avg = self.updater.value self.num_updates = 1 self.name = name def __call__(self, system_changes): self.updater.update(system_changes) self.avg += self.updater.value def get_averages(self): return {self.name: np.abs(self.avg/self.num_updates)} def reset(self): self.updater.reset() self.avg = self.updater.value self.num_updates = 1 class DiffractionRangeConstraint(ReactionCrdRangeConstraint): """ Constraints based on diffraction intensity See docstring of :py:class:`cemc.mcmc.diffraction_observer.DiffractionUpdater` for explination of the arguments. """ def __init__(self, atoms=None, k_vector=[], active_symbols=[], all_symbols=[]): ReactionCrdRangeConstraint.__init__(self) self.updater = DiffractionUpdater( atoms=atoms, k_vector=k_vector, active_symbols=active_symbols, all_symbols=all_symbols) def __call__(self, system_changes): """ Check if the constraint is violated after update. """ new_val = np.abs(self.updater.update(system_changes)) self.updater.undo() return new_val >= self.range[0] and new_val < self.range[1] def update(self, system_changes): self.updater.update(system_changes) class DiffractionCrdInitializer(ReactionCrdInitializer): """ Diffraction coordinate. See docstring of :py:class:`cemc.mcmc.diffraction_observer.DiffractionUpdater` for explination of the arguments. """ def __init__(self, atoms=None, k_vector=[], active_symbols=[], all_symbols=[]): ReactionCrdInitializer.__init__(self) self.updater = DiffractionUpdater( atoms=atoms, k_vector=k_vector, active_symbols=active_symbols, all_symbols=all_symbols) def get(self, atoms, system_changes=[]): """ Get the value of the current reflection intensity """ if system_changes: value = np.abs(self.updater.update(system_changes)) self.updater.undo() return value return np.abs(self.updater.value) def update(self, system_changes): self.updater.update(system_changes)
# -*- coding: utf-8 -*- # Resource object code # # Created: Mon Sep 2 09:51:50 2019 # by: The Resource Compiler for PySide2 (Qt v5.13.0) # # WARNING! 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\x00\x00\x00 \x08\x06\x00\x00\x00szz\xf4\ \x00\x00\x00\x09pHYs\x00\x00\x0e\xc4\x00\x00\x0e\xc4\ \x01\x95+\x0e\x1b\x00\x00\x00KIDATX\x85\xed\ \xd51\x0e\x00 \x08C\xd1b\xbc5\xb3\xe7\xc6;X\ \x12\x1c~w\x9a\x97.HN\xb2JY\xe5T,\x0b\ \xd0\x10\x00\x00\x00\x00\x00\x00`\x1c\x10\xd6\xb5\xf9\x8a\xa5\ \x0f\x16\xd8--'\x9e\x97\x1c_\x00\x00\x00\x00\x00\x00\ \x00\x18\x07\x5c\xf6%\x082\xd0\x04\x1b\x1e\x00\x00\x00\x00\ IEND\xaeB`\x82\ \x00\x00\xc3]\ /\ * --------------\ ----------------\ ----------------\ ----------------\ -------------\x0d\x0a\x0d\ \x0a Created by \ the qtsass compi\ ler\x0d\x0a\x0d\x0a WARNI\ NG! All changes \ made in this fil\ e will be lost!\x0d\ \x0a\x0d\x0a-------------\ ----------------\ ----------------\ ----------------\ -------------- *\ /\x0d\x0a/* QDarkStyle\ Sheet ----------\ ----------------\ ----------------\ ----------------\ -\x0d\x0a\x0d\x0aThis is the\ main style shee\ t, the palette h\ as eight colors.\ \x0d\x0a\x0d\x0aIt is based \ on three selecti\ ng colors, three\ greyish (backgr\ ound) colors\x0d\x0apl\ us three whitish\ (foreground) co\ lors. Each set o\ f widgets of the\ same\x0d\x0atype have\ a header like t\ his:\x0d\x0a\x0d\x0a ----\ --------------\x0d\x0a\ GroupName --\ ------\x0d\x0a ----\ --------------\x0d\x0a\ \x0d\x0aAnd each widge\ t is separated w\ ith a header lik\ e this:\x0d\x0a\x0d\x0a Q\ WidgetName -----\ -\x0d\x0a\x0d\x0aThis makes \ more easy to fin\ d and change som\ e css field. The\ basic\x0d\x0aconfigur\ ation is describ\ ed bellow.\x0d\x0a\x0d\x0a \ BACKGROUND ---\ --------\x0d\x0a\x0d\x0a \ Light #4D54\ 5B #505F69 (unpr\ essed)\x0d\x0a \ Normal #31363B #\ 32414B (border, \ disabled, presse\ d, checked, tool\ bars, menus)\x0d\x0a \ Dark #23\ 2629 #19232D (ba\ ckground)\x0d\x0a\x0d\x0a \ FOREGROUND ----\ -------\x0d\x0a\x0d\x0a \ Light #EFF0F\ 1 #F0F0F0 (texts\ /labels)\x0d\x0a \ Normal \ #AAAAAA (not us\ ed yet)\x0d\x0a \ Dark #505F69 \ #787878 (disable\ d texts)\x0d\x0a\x0d\x0a \ SELECTION ------\ ------\x0d\x0a\x0d\x0a \ Light #179AE0\ #148CD2 (select\ ion/hover/active\ )\x0d\x0a Norma\ l #3375A3 #1464A\ 0 (selected)\x0d\x0a \ Dark #18\ 465D #14506E (se\ lected disabled)\ \x0d\x0a\x0d\x0aIf a strange\ r configuration \ is required beca\ use of a bugfix \ or anything\x0d\x0aels\ e, keep the comm\ ent on the line \ above so nobody \ changes it, incl\ uding the\x0d\x0aissue\ number.\x0d\x0a\x0d\x0a*/\x0d\x0a\ /*\x0d\x0a\x0d\x0aSee Qt doc\ umentation:\x0d\x0a\x0d\x0a \ - https://doc.q\ t.io/qt-5/styles\ heet.html\x0d\x0a - h\ ttps://doc.qt.io\ /qt-5/stylesheet\ -reference.html\x0d\ \x0a - https://doc\ .qt.io/qt-5/styl\ esheet-examples.\ html\x0d\x0a\x0d\x0a--------\ ----------------\ ----------------\ ----------------\ ----------------\ --- */\x0d\x0a/* QWidg\ et -------------\ ----------------\ ----------------\ ----------------\ ---\x0d\x0a\x0d\x0a---------\ ----------------\ ----------------\ ----------------\ ----------------\ -- */\x0d\x0aQWidget {\ \x0d\x0a background-c\ olor: #333434;\x0d\x0a\ border: 0px so\ lid #4e4e4e;\x0d\x0a \ padding: 0px;\x0d\x0a \ color: #ffffff;\ \x0d\x0a selection-ba\ ckground-color: \ #007bff;\x0d\x0a sele\ ction-color: #ff\ ffff;\x0d\x0a}\x0d\x0a\x0d\x0aQWid\ get:disabled {\x0d\x0a\ background-col\ or: #333434;\x0d\x0a \ color: #999999;\x0d\ \x0a selection-bac\ kground-color: #\ 007bff;\x0d\x0a selec\ tion-color: #999\ 999;\x0d\x0a}\x0d\x0a\x0d\x0aQWidg\ et::item:selecte\ d {\x0d\x0a backgroun\ d-color: #007bff\ ;\x0d\x0a}\x0d\x0a\x0d\x0aQWidget:\ :item:hover {\x0d\x0a \ background-colo\ r: #007bff;\x0d\x0a c\ olor: #4e4e4e;\x0d\x0a\ }\x0d\x0a\x0d\x0a/* QMainWin\ dow ------------\ ----------------\ ----------------\ ----------------\ \x0d\x0a\x0d\x0aThis adjusts\ the splitter in\ the dock widget\ , not qsplitter\x0d\ \x0a\x0d\x0ahttps://doc.q\ t.io/qt-5/styles\ heet-examples.ht\ ml#customizing-q\ mainwindow\x0d\x0a\x0d\x0a--\ ----------------\ ----------------\ ----------------\ ----------------\ --------- */\x0d\x0aQM\ ainWindow::separ\ ator {\x0d\x0a backgr\ ound-color: #4e4\ e4e;\x0d\x0a border: \ 0px solid #33343\ 4;\x0d\x0a spacing: 0\ px;\x0d\x0a padding: \ 2px;\x0d\x0a}\x0d\x0a\x0d\x0aQMain\ Window::separato\ r:hover {\x0d\x0a bac\ kground-color: #\ 666666;\x0d\x0a borde\ r: 0px solid #00\ 7bff;\x0d\x0a}\x0d\x0a\x0d\x0aQMai\ nWindow::separat\ or:horizontal {\x0d\ \x0a width: 5px;\x0d\x0a\ margin-top: 2p\ x;\x0d\x0a margin-bot\ tom: 2px;\x0d\x0a ima\ ge: url(\x22:/qss_i\ cons/rc/toolbar_\ separator_vertic\ al.png\x22);\x0d\x0a}\x0d\x0a\x0d\x0a\ QMainWindow::sep\ arator:vertical \ {\x0d\x0a height: 5px\ ;\x0d\x0a margin-left\ : 2px;\x0d\x0a margin\ -right: 2px;\x0d\x0a \ image: url(\x22:/qs\ s_icons/rc/toolb\ ar_separator_hor\ izontal.png\x22);\x0d\x0a\ }\x0d\x0a\x0d\x0a/* QToolTip\ ---------------\ ----------------\ ----------------\ ----------------\ \x0d\x0a\x0d\x0ahttps://doc.\ qt.io/qt-5/style\ sheet-examples.h\ tml#customizing-\ qtooltip\x0d\x0a\x0d\x0a----\ ----------------\ ----------------\ ----------------\ ----------------\ ------- */\x0d\x0aQToo\ lTip {\x0d\x0a backgr\ ound-color: #007\ bff;\x0d\x0a border: \ 1px solid #33343\ 4;\x0d\x0a color: #33\ 3434;\x0d\x0a /* Remo\ ve padding, for \ fix combo box to\ oltip */\x0d\x0a padd\ ing: 0px;\x0d\x0a /* \ Reducing transpa\ rency to read be\ tter */\x0d\x0a opaci\ ty: 230;\x0d\x0a}\x0d\x0a\x0d\x0a/\ * QStatusBar ---\ ----------------\ ----------------\ ----------------\ ----------\x0d\x0a\x0d\x0aht\ tps://doc.qt.io/\ qt-5/stylesheet-\ examples.html#cu\ stomizing-qstatu\ sbar\x0d\x0a\x0d\x0a--------\ ----------------\ ----------------\ ----------------\ ----------------\ --- */\x0d\x0aQStatusB\ ar {\x0d\x0a border: \ 1px solid #4e4e4\ e;\x0d\x0a /* Fixes S\ pyder #9120, #91\ 21 */\x0d\x0a backgro\ und: #4e4e4e;\x0d\x0a}\ \x0d\x0a\x0d\x0aQStatusBar Q\ ToolTip {\x0d\x0a bac\ kground-color: #\ 007bff;\x0d\x0a borde\ r: 1px solid #33\ 3434;\x0d\x0a color: \ #333434;\x0d\x0a /* R\ emove padding, f\ or fix combo box\ tooltip */\x0d\x0a p\ adding: 0px;\x0d\x0a \ /* Reducing tran\ sparency to read\ better */\x0d\x0a op\ acity: 230;\x0d\x0a}\x0d\x0a\ \x0d\x0aQStatusBar QLa\ bel {\x0d\x0a /* Fixe\ s Spyder #9120, \ #9121 */\x0d\x0a back\ ground: transpar\ ent;\x0d\x0a}\x0d\x0a\x0d\x0a/* QC\ heckBox --------\ ----------------\ ----------------\ ----------------\ ------\x0d\x0a\x0d\x0ahttps:\ //doc.qt.io/qt-5\ /stylesheet-exam\ ples.html#custom\ izing-qcheckbox\x0d\ \x0a\x0d\x0a-------------\ ----------------\ ----------------\ ----------------\ -------------- *\ /\x0d\x0aQCheckBox {\x0d\x0a\ background-col\ or: #333434;\x0d\x0a \ color: #ffffff;\x0d\ \x0a spacing: 4px;\ \x0d\x0a outline: non\ e;\x0d\x0a padding-to\ p: 4px;\x0d\x0a paddi\ ng-bottom: 4px;\x0d\ \x0a}\x0d\x0a\x0d\x0aQCheckBox:\ focus {\x0d\x0a borde\ r: none;\x0d\x0a}\x0d\x0a\x0d\x0aQ\ CheckBox QWidget\ :disabled {\x0d\x0a b\ ackground-color:\ #333434;\x0d\x0a col\ or: #999999;\x0d\x0a}\x0d\ \x0a\x0d\x0aQCheckBox::in\ dicator {\x0d\x0a mar\ gin-left: 4px;\x0d\x0a\ height: 16px;\x0d\ \x0a width: 16px;\x0d\ \x0a}\x0d\x0a\x0d\x0aQCheckBox:\ :indicator:unche\ cked {\x0d\x0a image:\ url(\x22:/qss_icon\ s/rc/checkbox_un\ checked.png\x22);\x0d\x0a\ }\x0d\x0a\x0d\x0aQCheckBox::\ indicator:unchec\ ked:hover, QChec\ kBox::indicator:\ unchecked:focus,\ QCheckBox::indi\ cator:unchecked:\ pressed {\x0d\x0a bor\ der: none;\x0d\x0a im\ age: url(\x22:/qss_\ icons/rc/checkbo\ x_unchecked_focu\ s.png\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQ\ CheckBox::indica\ tor:unchecked:di\ sabled {\x0d\x0a imag\ e: url(\x22:/qss_ic\ ons/rc/checkbox_\ unchecked_disabl\ ed.png\x22);\x0d\x0a}\x0d\x0a\x0d\x0a\ QCheckBox::indic\ ator:checked {\x0d\x0a\ image: url(\x22:/\ qss_icons/rc/che\ ckbox_checked.pn\ g\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQChec\ kBox::indicator:\ checked:hover, Q\ CheckBox::indica\ tor:checked:focu\ s, QCheckBox::in\ dicator:checked:\ pressed {\x0d\x0a bor\ der: none;\x0d\x0a im\ age: url(\x22:/qss_\ icons/rc/checkbo\ x_checked_focus.\ png\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQCh\ eckBox::indicato\ r:checked:disabl\ ed {\x0d\x0a image: u\ rl(\x22:/qss_icons/\ rc/checkbox_chec\ ked_disabled.png\ \x22);\x0d\x0a}\x0d\x0a\x0d\x0aQCheck\ Box::indicator:i\ ndeterminate {\x0d\x0a\ image: url(\x22:/\ qss_icons/rc/che\ ckbox_indetermin\ ate.png\x22);\x0d\x0a}\x0d\x0a\x0d\ \x0aQCheckBox::indi\ cator:indetermin\ ate:disabled {\x0d\x0a\ image: url(\x22:/\ qss_icons/rc/che\ ckbox_indetermin\ ate_disabled.png\ \x22);\x0d\x0a}\x0d\x0a\x0d\x0aQCheck\ Box::indicator:i\ ndeterminate:foc\ us, QCheckBox::i\ ndicator:indeter\ minate:hover, QC\ heckBox::indicat\ or:indeterminate\ :pressed {\x0d\x0a im\ age: url(\x22:/qss_\ icons/rc/checkbo\ x_indeterminate_\ focus.png\x22);\x0d\x0a}\x0d\ \x0a\x0d\x0a/* QGroupBox \ ----------------\ ----------------\ ----------------\ --------------\x0d\x0a\ \x0d\x0ahttps://doc.qt\ .io/qt-5/stylesh\ eet-examples.htm\ l#customizing-qg\ roupbox\x0d\x0a\x0d\x0a-----\ ----------------\ ----------------\ ----------------\ ----------------\ ------ */\x0d\x0aQGrou\ pBox {\x0d\x0a font-w\ eight: bold;\x0d\x0a \ border: 1px soli\ d #4e4e4e;\x0d\x0a bo\ rder-radius: 4px\ ;\x0d\x0a padding: 4p\ x;\x0d\x0a margin-top\ : 16px;\x0d\x0a}\x0d\x0a\x0d\x0aQG\ roupBox::title {\ \x0d\x0a subcontrol-o\ rigin: margin;\x0d\x0a\ subcontrol-pos\ ition: top left;\ \x0d\x0a left: 3px;\x0d\x0a\ padding-left: \ 3px;\x0d\x0a padding-\ right: 5px;\x0d\x0a p\ adding-top: 8px;\ \x0d\x0a padding-bott\ om: 16px;\x0d\x0a}\x0d\x0a\x0d\x0a\ QGroupBox::indic\ ator {\x0d\x0a margin\ -left: 2px;\x0d\x0a h\ eight: 12px;\x0d\x0a \ width: 12px;\x0d\x0a}\x0d\ \x0a\x0d\x0aQGroupBox::in\ dicator:unchecke\ d:hover, QGroupB\ ox::indicator:un\ checked:focus, Q\ GroupBox::indica\ tor:unchecked:pr\ essed {\x0d\x0a borde\ r: none;\x0d\x0a imag\ e: url(\x22:/qss_ic\ ons/rc/checkbox_\ unchecked_focus.\ png\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQGr\ oupBox::indicato\ r:unchecked:disa\ bled {\x0d\x0a image:\ url(\x22:/qss_icon\ s/rc/checkbox_un\ checked_disabled\ .png\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQG\ roupBox::indicat\ or:checked:hover\ , QGroupBox::ind\ icator:checked:f\ ocus, QGroupBox:\ :indicator:check\ ed:pressed {\x0d\x0a \ border: none;\x0d\x0a \ image: url(\x22:/q\ ss_icons/rc/chec\ kbox_checked_foc\ us.png\x22);\x0d\x0a}\x0d\x0a\x0d\x0a\ QGroupBox::indic\ ator:checked:dis\ abled {\x0d\x0a image\ : url(\x22:/qss_ico\ ns/rc/checkbox_c\ hecked_disabled.\ png\x22);\x0d\x0a}\x0d\x0a\x0d\x0a/* \ QRadioButton ---\ ----------------\ ----------------\ ----------------\ --------\x0d\x0a\x0d\x0ahttp\ s://doc.qt.io/qt\ -5/stylesheet-ex\ amples.html#cust\ omizing-qradiobu\ tton\x0d\x0a\x0d\x0a--------\ ----------------\ ----------------\ ----------------\ ----------------\ --- */\x0d\x0aQRadioBu\ tton {\x0d\x0a backgr\ ound-color: #333\ 434;\x0d\x0a color: #\ ffffff;\x0d\x0a spaci\ ng: 4px;\x0d\x0a padd\ ing: 0px;\x0d\x0a bor\ der: none;\x0d\x0a ou\ tline: none;\x0d\x0a}\x0d\ \x0a\x0d\x0aQRadioButton:\ focus {\x0d\x0a borde\ r: none;\x0d\x0a}\x0d\x0a\x0d\x0aQ\ RadioButton:disa\ bled {\x0d\x0a backgr\ ound-color: #333\ 434;\x0d\x0a color: #\ 999999;\x0d\x0a borde\ r: none;\x0d\x0a outl\ ine: none;\x0d\x0a}\x0d\x0a\x0d\ \x0aQRadioButton QW\ idget {\x0d\x0a backg\ round-color: #33\ 3434;\x0d\x0a color: \ #ffffff;\x0d\x0a spac\ ing: 0px;\x0d\x0a pad\ ding: 0px;\x0d\x0a ou\ tline: none;\x0d\x0a \ border: none;\x0d\x0a}\ \x0d\x0a\x0d\x0aQRadioButton\ ::indicator {\x0d\x0a \ border: none;\x0d\x0a\ outline: none;\ \x0d\x0a margin-left:\ 4px;\x0d\x0a height:\ 16px;\x0d\x0a width:\ 16px;\x0d\x0a}\x0d\x0a\x0d\x0aQRa\ dioButton::indic\ ator:unchecked {\ \x0d\x0a image: url(\x22\ :/qss_icons/rc/r\ adio_unchecked.p\ ng\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQRad\ ioButton::indica\ tor:unchecked:ho\ ver, QRadioButto\ n::indicator:unc\ hecked:focus, QR\ adioButton::indi\ cator:unchecked:\ pressed {\x0d\x0a bor\ der: none;\x0d\x0a ou\ tline: none;\x0d\x0a \ image: url(\x22:/qs\ s_icons/rc/radio\ _unchecked_focus\ .png\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQR\ adioButton::indi\ cator:unchecked:\ disabled {\x0d\x0a im\ age: url(\x22:/qss_\ icons/rc/radio_u\ nchecked_disable\ d.png\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQ\ RadioButton::ind\ icator:checked {\ \x0d\x0a border: none\ ;\x0d\x0a outline: no\ ne;\x0d\x0a image: ur\ l(\x22:/qss_icons/r\ c/radio_checked.\ png\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQRa\ dioButton::indic\ ator:checked:hov\ er, QRadioButton\ ::indicator:chec\ ked:focus, QRadi\ oButton::indicat\ or:checked:press\ ed {\x0d\x0a border: \ none;\x0d\x0a outline\ : none;\x0d\x0a image\ : url(\x22:/qss_ico\ ns/rc/radio_chec\ ked_focus.png\x22);\ \x0d\x0a}\x0d\x0a\x0d\x0aQRadioBut\ ton::indicator:c\ hecked:disabled \ {\x0d\x0a outline: no\ ne;\x0d\x0a image: ur\ l(\x22:/qss_icons/r\ c/radio_checked_\ disabled.png\x22);\x0d\ \x0a}\x0d\x0a\x0d\x0a/* QMenuBa\ r --------------\ ----------------\ ----------------\ ----------------\ -\x0d\x0a\x0d\x0ahttps://doc\ .qt.io/qt-5/styl\ esheet-examples.\ html#customizing\ -qmenubar\x0d\x0a\x0d\x0a---\ ----------------\ ----------------\ ----------------\ ----------------\ -------- */\x0d\x0aQMe\ nuBar {\x0d\x0a backg\ round-color: #4e\ 4e4e;\x0d\x0a padding\ : 2px;\x0d\x0a border\ : 1px solid #333\ 434;\x0d\x0a color: #\ ffffff;\x0d\x0a}\x0d\x0a\x0d\x0aQM\ enuBar:focus {\x0d\x0a\ border: 1px so\ lid #007bff;\x0d\x0a}\x0d\ \x0a\x0d\x0aQMenuBar::ite\ m {\x0d\x0a backgroun\ d: transparent;\x0d\ \x0a padding: 4px;\ \x0d\x0a}\x0d\x0a\x0d\x0aQMenuBar:\ :item:selected {\ \x0d\x0a padding: 4px\ ;\x0d\x0a background:\ transparent;\x0d\x0a \ border: 0px sol\ id #4e4e4e;\x0d\x0a}\x0d\x0a\ \x0d\x0aQMenuBar::item\ :pressed {\x0d\x0a pa\ dding: 4px;\x0d\x0a b\ order: 0px solid\ #4e4e4e;\x0d\x0a bac\ kground-color: #\ 007bff;\x0d\x0a color\ : #ffffff;\x0d\x0a ma\ rgin-bottom: 0px\ ;\x0d\x0a padding-bot\ tom: 0px;\x0d\x0a}\x0d\x0a\x0d\x0a\ /* QMenu -------\ ----------------\ ----------------\ ----------------\ -----------\x0d\x0a\x0d\x0ah\ ttps://doc.qt.io\ /qt-5/stylesheet\ -examples.html#c\ ustomizing-qmenu\ \x0d\x0a\x0d\x0a------------\ ----------------\ ----------------\ ----------------\ --------------- \ */\x0d\x0aQMenu {\x0d\x0a b\ order: 0px solid\ #4e4e4e;\x0d\x0a col\ or: #ffffff;\x0d\x0a \ margin: 0px;\x0d\x0a}\x0d\ \x0a\x0d\x0aQMenu::separa\ tor {\x0d\x0a height:\ 1px;\x0d\x0a backgro\ und-color: #6666\ 66;\x0d\x0a color: #f\ fffff;\x0d\x0a}\x0d\x0a\x0d\x0aQMe\ nu::icon {\x0d\x0a ma\ rgin: 0px;\x0d\x0a pa\ dding-left: 4px;\ \x0d\x0a}\x0d\x0a\x0d\x0aQMenu::it\ em {\x0d\x0a backgrou\ nd-color: #4e4e4\ e;\x0d\x0a padding: 4\ px 24px 4px 24px\ ;\x0d\x0a /* Reserve \ space for select\ ion border */\x0d\x0a \ border: 1px tra\ nsparent #4e4e4e\ ;\x0d\x0a}\x0d\x0a\x0d\x0aQMenu::i\ tem:selected {\x0d\x0a\ color: #ffffff\ ;\x0d\x0a}\x0d\x0a\x0d\x0aQMenu::i\ ndicator {\x0d\x0a wi\ dth: 12px;\x0d\x0a he\ ight: 12px;\x0d\x0a p\ adding-left: 6px\ ;\x0d\x0a /* non-excl\ usive indicator \ = check box styl\ e indicator (see\ QActionGroup::s\ etExclusive) */\x0d\ \x0a /* exclusive \ indicator = radi\ o button style i\ ndicator (see QA\ ctionGroup::setE\ xclusive) */\x0d\x0a}\x0d\ \x0a\x0d\x0aQMenu::indica\ tor:non-exclusiv\ e:unchecked {\x0d\x0a \ image: url(\x22:/q\ ss_icons/rc/chec\ kbox_unchecked.p\ ng\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQMen\ u::indicator:non\ -exclusive:unche\ cked:selected {\x0d\ \x0a image: url(\x22:\ /qss_icons/rc/ch\ eckbox_unchecked\ _disabled.png\x22);\ \x0d\x0a}\x0d\x0a\x0d\x0aQMenu::in\ dicator:non-excl\ usive:checked {\x0d\ \x0a image: url(\x22:\ /qss_icons/rc/ch\ eckbox_checked.p\ ng\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQMen\ u::indicator:non\ -exclusive:check\ ed:selected {\x0d\x0a \ image: url(\x22:/q\ ss_icons/rc/chec\ kbox_checked_dis\ abled.png\x22);\x0d\x0a}\x0d\ \x0a\x0d\x0aQMenu::indica\ tor:exclusive:un\ checked {\x0d\x0a ima\ ge: url(\x22:/qss_i\ cons/rc/radio_un\ checked.png\x22);\x0d\x0a\ }\x0d\x0a\x0d\x0aQMenu::indi\ cator:exclusive:\ unchecked:select\ ed {\x0d\x0a image: u\ rl(\x22:/qss_icons/\ rc/radio_uncheck\ ed_disabled.png\x22\ );\x0d\x0a}\x0d\x0a\x0d\x0aQMenu::\ indicator:exclus\ ive:checked {\x0d\x0a \ image: url(\x22:/q\ ss_icons/rc/radi\ o_checked.png\x22);\ \x0d\x0a}\x0d\x0a\x0d\x0aQMenu::in\ dicator:exclusiv\ e:checked:select\ ed {\x0d\x0a image: u\ rl(\x22:/qss_icons/\ rc/radio_checked\ _disabled.png\x22);\ \x0d\x0a}\x0d\x0a\x0d\x0aQMenu::ri\ ght-arrow {\x0d\x0a m\ argin: 5px;\x0d\x0a i\ mage: url(\x22:/qss\ _icons/rc/arrow_\ right.png\x22);\x0d\x0a \ height: 12px;\x0d\x0a \ width: 12px;\x0d\x0a}\ \x0d\x0a\x0d\x0a/* QAbstract\ ItemView -------\ ----------------\ ----------------\ ---------------\x0d\ \x0a\x0d\x0ahttps://doc.q\ t.io/qt-5/styles\ heet-examples.ht\ ml#customizing-q\ combobox\x0d\x0a\x0d\x0a----\ ----------------\ ----------------\ ----------------\ ----------------\ ------- */\x0d\x0aQAbs\ tractItemView {\x0d\ \x0a alternate-bac\ kground-color: #\ 333434;\x0d\x0a color\ : #ffffff;\x0d\x0a bo\ rder: 1px solid \ #4e4e4e;\x0d\x0a bord\ er-radius: 4px;\x0d\ \x0a}\x0d\x0a\x0d\x0aQAbstractI\ temView QLineEdi\ t {\x0d\x0a padding: \ 2px;\x0d\x0a}\x0d\x0a\x0d\x0a/* QA\ bstractScrollAre\ a --------------\ ----------------\ ----------------\ ------\x0d\x0a\x0d\x0ahttps:\ //doc.qt.io/qt-5\ /stylesheet-exam\ ples.html#custom\ izing-qabstracts\ crollarea\x0d\x0a\x0d\x0a---\ ----------------\ ----------------\ ----------------\ ----------------\ -------- */\x0d\x0aQAb\ stractScrollArea\ {\x0d\x0a background\ -color: #333434;\ \x0d\x0a border: 1px \ solid #4e4e4e;\x0d\x0a\ border-radius:\ 4px;\x0d\x0a padding\ : 2px;\x0d\x0a /* fix\ #159 */\x0d\x0a min-\ height: 1.25em;\x0d\ \x0a /* fix #159 *\ /\x0d\x0a color: #fff\ fff;\x0d\x0a}\x0d\x0a\x0d\x0aQAbst\ ractScrollArea:d\ isabled {\x0d\x0a col\ or: #999999;\x0d\x0a}\x0d\ \x0a\x0d\x0a/* QScrollAre\ a --------------\ ----------------\ ----------------\ --------------\x0d\x0a\ \x0d\x0a--------------\ ----------------\ ----------------\ ----------------\ ------------- */\ \x0d\x0aQScrollArea QW\ idget QWidget:di\ sabled {\x0d\x0a back\ ground-color: #3\ 33434;\x0d\x0a}\x0d\x0a\x0d\x0a/* \ QScrollBar -----\ ----------------\ ----------------\ ----------------\ --------\x0d\x0a\x0d\x0ahttp\ s://doc.qt.io/qt\ -5/stylesheet-ex\ amples.html#cust\ omizing-qscrollb\ ar\x0d\x0a\x0d\x0a----------\ ----------------\ ----------------\ ----------------\ ----------------\ - */\x0d\x0aQScrollBar\ :horizontal {\x0d\x0a \ height: 16px;\x0d\x0a\ margin: 2px 16\ px 2px 16px;\x0d\x0a \ border: 1px soli\ d #4e4e4e;\x0d\x0a bo\ rder-radius: 4px\ ;\x0d\x0a background-\ color: #333434;\x0d\ \x0a}\x0d\x0a\x0d\x0aQScrollBar\ :vertical {\x0d\x0a b\ ackground-color:\ #333434;\x0d\x0a wid\ th: 16px;\x0d\x0a mar\ gin: 16px 2px 16\ px 2px;\x0d\x0a borde\ r: 1px solid #4e\ 4e4e;\x0d\x0a border-\ radius: 4px;\x0d\x0a}\x0d\ \x0a\x0d\x0aQScrollBar::h\ andle:horizontal\ {\x0d\x0a background\ -color: #999999;\ \x0d\x0a border: 1px \ solid #4e4e4e;\x0d\x0a\ border-radius:\ 4px;\x0d\x0a min-wid\ th: 8px;\x0d\x0a}\x0d\x0a\x0d\x0aQ\ ScrollBar::handl\ e:horizontal:hov\ er {\x0d\x0a backgrou\ nd-color: #007bf\ f;\x0d\x0a border: 1p\ x solid #007bff;\ \x0d\x0a border-radiu\ s: 4px;\x0d\x0a min-w\ idth: 8px;\x0d\x0a}\x0d\x0a\x0d\ \x0aQScrollBar::han\ dle:vertical {\x0d\x0a\ background-col\ or: #999999;\x0d\x0a \ border: 1px soli\ d #4e4e4e;\x0d\x0a mi\ n-height: 8px;\x0d\x0a\ border-radius:\ 4px;\x0d\x0a}\x0d\x0a\x0d\x0aQScr\ ollBar::handle:v\ ertical:hover {\x0d\ \x0a background-co\ lor: #007bff;\x0d\x0a \ border: 1px sol\ id #007bff;\x0d\x0a b\ order-radius: 4p\ x;\x0d\x0a min-height\ : 8px;\x0d\x0a}\x0d\x0a\x0d\x0aQSc\ rollBar::add-lin\ e:horizontal {\x0d\x0a\ margin: 0px 0p\ x 0px 0px;\x0d\x0a bo\ rder-image: url(\ \x22:/qss_icons/rc/\ arrow_right_disa\ bled.png\x22);\x0d\x0a h\ eight: 12px;\x0d\x0a \ width: 12px;\x0d\x0a \ subcontrol-posit\ ion: right;\x0d\x0a s\ ubcontrol-origin\ : margin;\x0d\x0a}\x0d\x0a\x0d\x0a\ QScrollBar::add-\ line:horizontal:\ hover, QScrollBa\ r::add-line:hori\ zontal:on {\x0d\x0a b\ order-image: url\ (\x22:/qss_icons/rc\ /arrow_right.png\ \x22);\x0d\x0a height: 1\ 2px;\x0d\x0a width: 1\ 2px;\x0d\x0a subcontr\ ol-position: rig\ ht;\x0d\x0a subcontro\ l-origin: margin\ ;\x0d\x0a}\x0d\x0a\x0d\x0aQScrollB\ ar::add-line:ver\ tical {\x0d\x0a margi\ n: 3px 0px 3px 0\ px;\x0d\x0a border-im\ age: url(\x22:/qss_\ icons/rc/arrow_d\ own_disabled.png\ \x22);\x0d\x0a height: 1\ 2px;\x0d\x0a width: 1\ 2px;\x0d\x0a subcontr\ ol-position: bot\ tom;\x0d\x0a subcontr\ ol-origin: margi\ n;\x0d\x0a}\x0d\x0a\x0d\x0aQScroll\ Bar::add-line:ve\ rtical:hover, QS\ crollBar::add-li\ ne:vertical:on {\ \x0d\x0a border-image\ : url(\x22:/qss_ico\ ns/rc/arrow_down\ .png\x22);\x0d\x0a heigh\ t: 12px;\x0d\x0a widt\ h: 12px;\x0d\x0a subc\ ontrol-position:\ bottom;\x0d\x0a subc\ ontrol-origin: m\ argin;\x0d\x0a}\x0d\x0a\x0d\x0aQSc\ rollBar::sub-lin\ e:horizontal {\x0d\x0a\ margin: 0px 3p\ x 0px 3px;\x0d\x0a bo\ rder-image: url(\ \x22:/qss_icons/rc/\ arrow_left_disab\ led.png\x22);\x0d\x0a he\ ight: 12px;\x0d\x0a w\ idth: 12px;\x0d\x0a s\ ubcontrol-positi\ on: left;\x0d\x0a sub\ control-origin: \ margin;\x0d\x0a}\x0d\x0a\x0d\x0aQS\ crollBar::sub-li\ ne:horizontal:ho\ ver, QScrollBar:\ :sub-line:horizo\ ntal:on {\x0d\x0a bor\ der-image: url(\x22\ :/qss_icons/rc/a\ rrow_left.png\x22);\ \x0d\x0a height: 12px\ ;\x0d\x0a width: 12px\ ;\x0d\x0a subcontrol-\ position: left;\x0d\ \x0a subcontrol-or\ igin: margin;\x0d\x0a}\ \x0d\x0a\x0d\x0aQScrollBar::\ sub-line:vertica\ l {\x0d\x0a margin: 3\ px 0px 3px 0px;\x0d\ \x0a border-image:\ url(\x22:/qss_icon\ s/rc/arrow_up_di\ sabled.png\x22);\x0d\x0a \ height: 12px;\x0d\x0a\ width: 12px;\x0d\x0a\ subcontrol-pos\ ition: top;\x0d\x0a s\ ubcontrol-origin\ : margin;\x0d\x0a}\x0d\x0a\x0d\x0a\ QScrollBar::sub-\ line:vertical:ho\ ver, QScrollBar:\ :sub-line:vertic\ al:on {\x0d\x0a borde\ r-image: url(\x22:/\ qss_icons/rc/arr\ ow_up.png\x22);\x0d\x0a \ height: 12px;\x0d\x0a \ width: 12px;\x0d\x0a \ subcontrol-posi\ tion: top;\x0d\x0a su\ bcontrol-origin:\ margin;\x0d\x0a}\x0d\x0a\x0d\x0aQ\ ScrollBar::up-ar\ row:horizontal, \ QScrollBar::down\ -arrow:horizonta\ l {\x0d\x0a backgroun\ d: none;\x0d\x0a}\x0d\x0a\x0d\x0aQ\ ScrollBar::up-ar\ row:vertical, QS\ crollBar::down-a\ rrow:vertical {\x0d\ \x0a background: n\ one;\x0d\x0a}\x0d\x0a\x0d\x0aQScro\ llBar::add-page:\ horizontal, QScr\ ollBar::sub-page\ :horizontal {\x0d\x0a \ background: non\ e;\x0d\x0a}\x0d\x0a\x0d\x0aQScroll\ Bar::add-page:ve\ rtical, QScrollB\ ar::sub-page:ver\ tical {\x0d\x0a backg\ round: none;\x0d\x0a}\x0d\ \x0a\x0d\x0a/* QTextEdit \ ----------------\ ----------------\ ----------------\ --------------\x0d\x0a\ \x0d\x0ahttps://doc.qt\ .io/qt-5/stylesh\ eet-examples.htm\ l#customizing-sp\ ecific-widgets\x0d\x0a\ \x0d\x0a--------------\ ----------------\ ----------------\ ----------------\ ------------- */\ \x0d\x0aQTextEdit {\x0d\x0a \ background-colo\ r: #333434;\x0d\x0a c\ olor: #ffffff;\x0d\x0a\ border: 1px so\ lid #4e4e4e;\x0d\x0a}\x0d\ \x0a\x0d\x0aQTextEdit:hov\ er {\x0d\x0a border: \ 1px solid #007bf\ f;\x0d\x0a color: #ff\ ffff;\x0d\x0a}\x0d\x0a\x0d\x0aQTex\ tEdit:selected {\ \x0d\x0a background: \ #007bff;\x0d\x0a colo\ r: #4e4e4e;\x0d\x0a}\x0d\x0a\ \x0d\x0a/* QPlainTextE\ dit ------------\ ----------------\ ----------------\ -------------\x0d\x0a\x0d\ \x0a---------------\ ----------------\ ----------------\ ----------------\ ------------ */\x0d\ \x0aQPlainTextEdit \ {\x0d\x0a background-\ color: #333434;\x0d\ \x0a color: #fffff\ f;\x0d\x0a border-rad\ ius: 4px;\x0d\x0a bor\ der: 1px solid #\ 4e4e4e;\x0d\x0a}\x0d\x0a\x0d\x0aQP\ lainTextEdit:hov\ er {\x0d\x0a border: \ 1px solid #007bf\ f;\x0d\x0a color: #ff\ ffff;\x0d\x0a}\x0d\x0a\x0d\x0aQPla\ inTextEdit:selec\ ted {\x0d\x0a backgro\ und: #007bff;\x0d\x0a \ color: #4e4e4e;\ \x0d\x0a}\x0d\x0a\x0d\x0a/* QSizeG\ rip ------------\ ----------------\ ----------------\ ----------------\ --\x0d\x0a\x0d\x0ahttps://do\ c.qt.io/qt-5/sty\ lesheet-examples\ .html#customizin\ g-qsizegrip\x0d\x0a\x0d\x0a-\ ----------------\ ----------------\ ----------------\ ----------------\ ---------- */\x0d\x0aQ\ SizeGrip {\x0d\x0a ba\ ckground: transp\ arent;\x0d\x0a width:\ 12px;\x0d\x0a height\ : 12px;\x0d\x0a image\ : url(\x22:/qss_ico\ ns/rc/window_gri\ p.png\x22);\x0d\x0a}\x0d\x0a\x0d\x0a/\ * QStackedWidget\ ---------------\ ----------------\ ----------------\ ----------\x0d\x0a\x0d\x0a--\ ----------------\ ----------------\ ----------------\ ----------------\ --------- */\x0d\x0aQS\ tackedWidget {\x0d\x0a\ padding: 2px;\x0d\ \x0a border: 1px s\ olid #4e4e4e;\x0d\x0a \ border: 1px sol\ id #333434;\x0d\x0a}\x0d\x0a\ \x0d\x0a/* QToolBar --\ ----------------\ ----------------\ ----------------\ -------------\x0d\x0a\x0d\ \x0ahttps://doc.qt.\ io/qt-5/styleshe\ et-examples.html\ #customizing-qto\ olbar\x0d\x0a\x0d\x0a-------\ ----------------\ ----------------\ ----------------\ ----------------\ ---- */\x0d\x0aQToolBa\ r {\x0d\x0a backgroun\ d-color: #4e4e4e\ ;\x0d\x0a border-bott\ om: 1px solid #3\ 33434;\x0d\x0a paddin\ g: 2px;\x0d\x0a font-\ weight: bold;\x0d\x0a}\ \x0d\x0a\x0d\x0aQToolBar QTo\ olButton {\x0d\x0a ba\ ckground-color: \ #4e4e4e;\x0d\x0a bord\ er: 1px solid #4\ e4e4e;\x0d\x0a}\x0d\x0a\x0d\x0aQTo\ olBar QToolButto\ n:hover {\x0d\x0a bor\ der: 1px solid #\ 007bff;\x0d\x0a}\x0d\x0a\x0d\x0aQT\ oolBar QToolButt\ on:checked {\x0d\x0a \ border: 1px soli\ d #333434;\x0d\x0a ba\ ckground-color: \ #333434;\x0d\x0a}\x0d\x0a\x0d\x0aQ\ ToolBar QToolBut\ ton:checked:hove\ r {\x0d\x0a border: 1\ px solid #007bff\ ;\x0d\x0a}\x0d\x0a\x0d\x0aQToolBar\ ::handle:horizon\ tal {\x0d\x0a width: \ 16px;\x0d\x0a image: \ url(\x22:/qss_icons\ /rc/toolbar_move\ _horizontal.png\x22\ );\x0d\x0a}\x0d\x0a\x0d\x0aQToolBa\ r::handle:vertic\ al {\x0d\x0a height: \ 16px;\x0d\x0a image: \ url(\x22:/qss_icons\ /rc/toolbar_move\ _horizontal.png\x22\ );\x0d\x0a}\x0d\x0a\x0d\x0aQToolBa\ r::separator:hor\ izontal {\x0d\x0a wid\ th: 16px;\x0d\x0a ima\ ge: url(\x22:/qss_i\ cons/rc/toolbar_\ separator_horizo\ ntal.png\x22);\x0d\x0a}\x0d\x0a\ \x0d\x0aQToolBar::sepa\ rator:vertical {\ \x0d\x0a height: 16px\ ;\x0d\x0a image: url(\ \x22:/qss_icons/rc/\ toolbar_separato\ r_vertical.png\x22)\ ;\x0d\x0a}\x0d\x0a\x0d\x0aQToolBut\ ton#qt_toolbar_e\ xt_button {\x0d\x0a b\ ackground: #4e4e\ 4e;\x0d\x0a border: 0\ px;\x0d\x0a color: #f\ fffff;\x0d\x0a image:\ url(\x22:/qss_icon\ s/rc/arrow_right\ .png\x22);\x0d\x0a}\x0d\x0a\x0d\x0a/*\ QAbstractSpinBo\ x --------------\ ----------------\ ----------------\ ---------\x0d\x0a\x0d\x0a---\ ----------------\ ----------------\ ----------------\ ----------------\ -------- */\x0d\x0aQAb\ stractSpinBox {\x0d\ \x0a background-co\ lor: #333434;\x0d\x0a \ border: 1px sol\ id #4e4e4e;\x0d\x0a c\ olor: #ffffff;\x0d\x0a\ /* This fixes \ 103, 111 */\x0d\x0a p\ adding-top: 2px;\ \x0d\x0a /* This fixe\ s 103, 111 */\x0d\x0a \ padding-bottom:\ 2px;\x0d\x0a padding\ -left: 4px;\x0d\x0a p\ adding-right: 4p\ x;\x0d\x0a border-rad\ ius: 4px;\x0d\x0a /* \ min-width: 5px; \ removed to fix 1\ 09 */\x0d\x0a}\x0d\x0a\x0d\x0aQAbs\ tractSpinBox:up-\ button {\x0d\x0a back\ ground-color: tr\ ansparent #33343\ 4;\x0d\x0a subcontrol\ -origin: border;\ \x0d\x0a subcontrol-p\ osition: top rig\ ht;\x0d\x0a border-le\ ft: 1px solid #4\ e4e4e;\x0d\x0a margin\ : 1px;\x0d\x0a}\x0d\x0a\x0d\x0aQAb\ stractSpinBox::u\ p-arrow, QAbstra\ ctSpinBox::up-ar\ row:disabled, QA\ bstractSpinBox::\ up-arrow:off {\x0d\x0a\ image: url(\x22:/\ qss_icons/rc/arr\ ow_up_disabled.p\ ng\x22);\x0d\x0a height:\ 12px;\x0d\x0a width:\ 12px;\x0d\x0a}\x0d\x0a\x0d\x0aQAb\ stractSpinBox::u\ p-arrow:hover {\x0d\ \x0a image: url(\x22:\ /qss_icons/rc/ar\ row_up.png\x22);\x0d\x0a}\ \x0d\x0a\x0d\x0aQAbstractSpi\ nBox:down-button\ {\x0d\x0a background\ -color: transpar\ ent #333434;\x0d\x0a \ subcontrol-origi\ n: border;\x0d\x0a su\ bcontrol-positio\ n: bottom right;\ \x0d\x0a border-left:\ 1px solid #4e4e\ 4e;\x0d\x0a margin: 1\ px;\x0d\x0a}\x0d\x0a\x0d\x0aQAbstr\ actSpinBox::down\ -arrow, QAbstrac\ tSpinBox::down-a\ rrow:disabled, Q\ AbstractSpinBox:\ :down-arrow:off \ {\x0d\x0a image: url(\ \x22:/qss_icons/rc/\ arrow_down_disab\ led.png\x22);\x0d\x0a he\ ight: 12px;\x0d\x0a w\ idth: 12px;\x0d\x0a}\x0d\x0a\ \x0d\x0aQAbstractSpinB\ ox::down-arrow:h\ over {\x0d\x0a image:\ url(\x22:/qss_icon\ s/rc/arrow_down.\ png\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQAb\ stractSpinBox:ho\ ver {\x0d\x0a border:\ 1px solid #007b\ ff;\x0d\x0a color: #f\ fffff;\x0d\x0a}\x0d\x0a\x0d\x0aQAb\ stractSpinBox:se\ lected {\x0d\x0a back\ ground: #007bff;\ \x0d\x0a color: #4e4e\ 4e;\x0d\x0a}\x0d\x0a\x0d\x0a/* ---\ ----------------\ ----------------\ ----------------\ ----------------\ ----- */\x0d\x0a/* DIS\ PLAYS ----------\ ----------------\ ----------------\ ----------------\ ----- */\x0d\x0a/* ---\ ----------------\ ----------------\ ----------------\ ----------------\ ----- */\x0d\x0a/* QLa\ bel ------------\ ----------------\ ----------------\ ----------------\ -----\x0d\x0a\x0d\x0ahttps:/\ /doc.qt.io/qt-5/\ stylesheet-examp\ les.html#customi\ zing-qframe\x0d\x0a\x0d\x0a-\ ----------------\ ----------------\ ----------------\ ----------------\ ---------- */\x0d\x0aQ\ Label {\x0d\x0a backg\ round-color: #33\ 3434;\x0d\x0a border:\ 0px solid #4e4e\ 4e;\x0d\x0a padding: \ 2px;\x0d\x0a margin: \ 0px;\x0d\x0a color: #\ ffffff;\x0d\x0a}\x0d\x0a\x0d\x0aQL\ abel::disabled {\ \x0d\x0a background-c\ olor: #333434;\x0d\x0a\ border: 0px so\ lid #4e4e4e;\x0d\x0a \ color: #999999;\x0d\ \x0a}\x0d\x0a\x0d\x0a/* QTextBr\ owser ----------\ ----------------\ ----------------\ ----------------\ -\x0d\x0a\x0d\x0ahttps://doc\ .qt.io/qt-5/styl\ esheet-examples.\ html#customizing\ -qabstractscroll\ area\x0d\x0a\x0d\x0a--------\ ----------------\ ----------------\ ----------------\ ----------------\ --- */\x0d\x0aQTextBro\ wser {\x0d\x0a backgr\ ound-color: #333\ 434;\x0d\x0a border: \ 1px solid #4e4e4\ e;\x0d\x0a color: #ff\ ffff;\x0d\x0a border-\ radius: 4px;\x0d\x0a}\x0d\ \x0a\x0d\x0aQTextBrowser:\ disabled {\x0d\x0a ba\ ckground-color: \ #333434;\x0d\x0a bord\ er: 1px solid #4\ e4e4e;\x0d\x0a color:\ #999999;\x0d\x0a bor\ der-radius: 4px;\ \x0d\x0a}\x0d\x0a\x0d\x0aQTextBrow\ ser:hover, QText\ Browser:!hover, \ QTextBrowser::se\ lected, QTextBro\ wser::pressed {\x0d\ \x0a border: 1px s\ olid #4e4e4e;\x0d\x0a}\ \x0d\x0a\x0d\x0a/* QGraphics\ View -----------\ ----------------\ ----------------\ ---------------\x0d\ \x0a\x0d\x0a-------------\ ----------------\ ----------------\ ----------------\ -------------- *\ /\x0d\x0aQGraphicsView\ {\x0d\x0a background\ -color: #333434;\ \x0d\x0a border: 1px \ solid #4e4e4e;\x0d\x0a\ color: #ffffff\ ;\x0d\x0a border-radi\ us: 4px;\x0d\x0a}\x0d\x0a\x0d\x0aQ\ GraphicsView:dis\ abled {\x0d\x0a backg\ round-color: #33\ 3434;\x0d\x0a border:\ 1px solid #4e4e\ 4e;\x0d\x0a color: #9\ 99999;\x0d\x0a border\ -radius: 4px;\x0d\x0a}\ \x0d\x0a\x0d\x0aQGraphicsVie\ w:hover, QGraphi\ csView:!hover, Q\ GraphicsView::se\ lected, QGraphic\ sView::pressed {\ \x0d\x0a border: 1px \ solid #4e4e4e;\x0d\x0a\ }\x0d\x0a\x0d\x0a/* QCalenda\ rWidget --------\ ----------------\ ----------------\ ----------------\ \x0d\x0a\x0d\x0a------------\ ----------------\ ----------------\ ----------------\ --------------- \ */\x0d\x0aQCalendarWid\ get {\x0d\x0a border:\ 1px solid #4e4e\ 4e;\x0d\x0a border-ra\ dius: 4px;\x0d\x0a}\x0d\x0a\x0d\ \x0aQCalendarWidget\ :disabled {\x0d\x0a b\ ackground-color:\ #333434;\x0d\x0a col\ or: #999999;\x0d\x0a}\x0d\ \x0a\x0d\x0a/* QLCDNumber\ ---------------\ ----------------\ ----------------\ --------------\x0d\x0a\ \x0d\x0a--------------\ ----------------\ ----------------\ ----------------\ ------------- */\ \x0d\x0aQLCDNumber {\x0d\x0a\ background-col\ or: #333434;\x0d\x0a \ color: #ffffff;\x0d\ \x0a}\x0d\x0a\x0d\x0aQLCDNumber\ :disabled {\x0d\x0a b\ ackground-color:\ #333434;\x0d\x0a col\ or: #999999;\x0d\x0a}\x0d\ \x0a\x0d\x0a/* QProgressB\ ar -------------\ ----------------\ ----------------\ --------------\x0d\x0a\ \x0d\x0ahttps://doc.qt\ .io/qt-5/stylesh\ eet-examples.htm\ l#customizing-qp\ rogressbar\x0d\x0a\x0d\x0a--\ ----------------\ ----------------\ ----------------\ ----------------\ --------- */\x0d\x0aQP\ rogressBar {\x0d\x0a \ background-color\ : #333434;\x0d\x0a bo\ rder: 1px solid \ #4e4e4e;\x0d\x0a colo\ r: #ffffff;\x0d\x0a b\ order-radius: 4p\ x;\x0d\x0a text-align\ : center;\x0d\x0a}\x0d\x0a\x0d\x0a\ QProgressBar:dis\ abled {\x0d\x0a backg\ round-color: #33\ 3434;\x0d\x0a border:\ 1px solid #4e4e\ 4e;\x0d\x0a color: #9\ 99999;\x0d\x0a border\ -radius: 4px;\x0d\x0a \ text-align: cen\ ter;\x0d\x0a}\x0d\x0a\x0d\x0aQProg\ ressBar::chunk {\ \x0d\x0a background-c\ olor: #007bff;\x0d\x0a\ color: #333434\ ;\x0d\x0a border-radi\ us: 4px;\x0d\x0a}\x0d\x0a\x0d\x0aQ\ ProgressBar::chu\ nk:disabled {\x0d\x0a \ background-colo\ r: #007bff;\x0d\x0a c\ olor: #999999;\x0d\x0a\ border-radius:\ 4px;\x0d\x0a}\x0d\x0a\x0d\x0a/* -\ ----------------\ ----------------\ ----------------\ ----------------\ ------- */\x0d\x0a/* B\ UTTONS ---------\ ----------------\ ----------------\ ----------------\ ------- */\x0d\x0a/* -\ ----------------\ ----------------\ ----------------\ ----------------\ ------- */\x0d\x0a/* Q\ PushButton -----\ ----------------\ ----------------\ ----------------\ -------\x0d\x0a\x0d\x0ahttps\ ://doc.qt.io/qt-\ 5/stylesheet-exa\ mples.html#custo\ mizing-qpushbutt\ on\x0d\x0a\x0d\x0a----------\ ----------------\ ----------------\ ----------------\ ----------------\ - */\x0d\x0aQPushButto\ n {\x0d\x0a backgroun\ d-color: #666666\ ;\x0d\x0a border: 1px\ solid #4e4e4e;\x0d\ \x0a color: #fffff\ f;\x0d\x0a border-rad\ ius: 4px;\x0d\x0a pad\ ding: 3px;\x0d\x0a ou\ tline: none;\x0d\x0a}\x0d\ \x0a\x0d\x0aQPushButton:d\ isabled {\x0d\x0a bac\ kground-color: #\ 4e4e4e;\x0d\x0a borde\ r: 1px solid #4e\ 4e4e;\x0d\x0a color: \ #999999;\x0d\x0a bord\ er-radius: 4px;\x0d\ \x0a padding: 3px;\ \x0d\x0a}\x0d\x0a\x0d\x0aQPushButt\ on:checked {\x0d\x0a \ background-color\ : #4e4e4e;\x0d\x0a bo\ rder: 1px solid \ #4e4e4e;\x0d\x0a bord\ er-radius: 4px;\x0d\ \x0a padding: 3px;\ \x0d\x0a outline: non\ e;\x0d\x0a}\x0d\x0a\x0d\x0aQPushBu\ tton:checked:dis\ abled {\x0d\x0a backg\ round-color: #33\ 3434;\x0d\x0a border:\ 1px solid #4e4e\ 4e;\x0d\x0a color: #9\ 99999;\x0d\x0a border\ -radius: 4px;\x0d\x0a \ padding: 3px;\x0d\x0a\ outline: none;\ \x0d\x0a}\x0d\x0a\x0d\x0aQPushButt\ on:checked:selec\ ted {\x0d\x0a backgro\ und: #007bff;\x0d\x0a \ color: #4e4e4e;\ \x0d\x0a}\x0d\x0a\x0d\x0aQPushButt\ on:checked:hover\ {\x0d\x0a border: 1p\ x solid #007bff;\ \x0d\x0a color: #ffff\ ff;\x0d\x0a}\x0d\x0a\x0d\x0aQPushB\ utton::menu-indi\ cator {\x0d\x0a subco\ ntrol-origin: pa\ dding;\x0d\x0a subcon\ trol-position: b\ ottom right;\x0d\x0a \ bottom: 4px;\x0d\x0a}\x0d\ \x0a\x0d\x0aQPushButton:p\ ressed {\x0d\x0a back\ ground-color: #3\ 33434;\x0d\x0a border\ : 1px solid #333\ 434;\x0d\x0a}\x0d\x0a\x0d\x0aQPush\ Button:pressed:h\ over {\x0d\x0a border\ : 1px solid #007\ bff;\x0d\x0a}\x0d\x0a\x0d\x0aQPush\ Button:hover {\x0d\x0a\ border: 1px so\ lid #007bff;\x0d\x0a \ color: #ffffff;\x0d\ \x0a}\x0d\x0a\x0d\x0aQPushButto\ n:selected {\x0d\x0a \ background: #007\ bff;\x0d\x0a color: #\ 4e4e4e;\x0d\x0a}\x0d\x0a\x0d\x0a/*\ QToolButton ---\ ----------------\ ----------------\ ----------------\ ---------\x0d\x0a\x0d\x0ahtt\ ps://doc.qt.io/q\ t-5/stylesheet-e\ xamples.html#cus\ tomizing-qtoolbu\ tton\x0d\x0a\x0d\x0a--------\ ----------------\ ----------------\ ----------------\ ----------------\ --- */\x0d\x0aQToolBut\ ton {\x0d\x0a backgro\ und-color: trans\ parent;\x0d\x0a borde\ r-radius: 4px;\x0d\x0a\ margin: 0px;\x0d\x0a\ padding: 2px;\x0d\ \x0a /* The subcon\ trols below are \ used only in the\ MenuButtonPopup\ mode */\x0d\x0a /* T\ he subcontrol be\ low is used only\ in the InstantP\ opup or DelayedP\ opup mode */\x0d\x0a}\x0d\ \x0a\x0d\x0aQToolButton:c\ hecked {\x0d\x0a back\ ground-color: tr\ ansparent;\x0d\x0a bo\ rder: 1px solid \ #007bff;\x0d\x0a}\x0d\x0a\x0d\x0aQ\ ToolButton:check\ ed:disabled {\x0d\x0a \ border: 1px sol\ id #007bff;\x0d\x0a}\x0d\x0a\ \x0d\x0aQToolButton:pr\ essed {\x0d\x0a margi\ n: 1px;\x0d\x0a backg\ round-color: tra\ nsparent;\x0d\x0a bor\ der: 1px solid #\ 007bff;\x0d\x0a}\x0d\x0a\x0d\x0aQT\ oolButton:disabl\ ed {\x0d\x0a border: \ none;\x0d\x0a}\x0d\x0a\x0d\x0aQToo\ lButton:disabled\ :hover {\x0d\x0a bord\ er: 1px solid #4\ e4e4e;\x0d\x0a}\x0d\x0a\x0d\x0aQTo\ olButton:hover {\ \x0d\x0a border: 1px \ solid #007bff;\x0d\x0a\ }\x0d\x0a\x0d\x0aQToolButton\ [popupMode=\x221\x22] \ {\x0d\x0a padding: 2p\ x;\x0d\x0a /* Only fo\ r MenuButtonPopu\ p */\x0d\x0a padding-\ right: 12px;\x0d\x0a \ /* Make way for \ the popup button\ */\x0d\x0a border: 1\ px solid #4e4e4e\ ;\x0d\x0a border-radi\ us: 4px;\x0d\x0a}\x0d\x0a\x0d\x0aQ\ ToolButton[popup\ Mode=\x222\x22] {\x0d\x0a p\ adding: 2px;\x0d\x0a \ /* Only for Inst\ antPopup */\x0d\x0a p\ adding-right: 12\ px;\x0d\x0a /* Make w\ ay for the popup\ button */\x0d\x0a bo\ rder: 1px solid \ #4e4e4e;\x0d\x0a}\x0d\x0a\x0d\x0aQ\ ToolButton::menu\ -button {\x0d\x0a pad\ ding: 2px;\x0d\x0a bo\ rder-radius: 4px\ ;\x0d\x0a border: 1px\ solid #4e4e4e;\x0d\ \x0a border-top-ri\ ght-radius: 4px;\ \x0d\x0a border-botto\ m-right-radius: \ 4px;\x0d\x0a /* 16px \ width + 4px for \ border = 20px al\ located above */\ \x0d\x0a width: 16px;\ \x0d\x0a outline: non\ e;\x0d\x0a}\x0d\x0a\x0d\x0aQToolBu\ tton::menu-butto\ n:hover {\x0d\x0a bor\ der: 1px solid #\ 007bff;\x0d\x0a}\x0d\x0a\x0d\x0aQT\ oolButton::menu-\ button:checked:h\ over {\x0d\x0a border\ : 1px solid #007\ bff;\x0d\x0a}\x0d\x0a\x0d\x0aQTool\ Button::menu-ind\ icator {\x0d\x0a imag\ e: url(\x22:/qss_ic\ ons/rc/arrow_dow\ n.png\x22);\x0d\x0a heig\ ht: 12px;\x0d\x0a wid\ th: 12px;\x0d\x0a top\ : -8px;\x0d\x0a /* Sh\ ift it a bit */\x0d\ \x0a left: -4px;\x0d\x0a\ /* Shift it a \ bit */\x0d\x0a}\x0d\x0a\x0d\x0aQTo\ olButton::menu-a\ rrow {\x0d\x0a image:\ url(\x22:/qss_icon\ s/rc/arrow_down.\ png\x22);\x0d\x0a height\ : 12px;\x0d\x0a width\ : 12px;\x0d\x0a}\x0d\x0a\x0d\x0aQT\ oolButton::menu-\ arrow:open {\x0d\x0a \ border: 1px soli\ d #4e4e4e;\x0d\x0a}\x0d\x0a\x0d\ \x0a/* QCommandLink\ Button ---------\ ----------------\ ----------------\ ------------\x0d\x0a\x0d\x0a\ ----------------\ ----------------\ ----------------\ ----------------\ ----------- */\x0d\x0a\ QCommandLinkButt\ on {\x0d\x0a backgrou\ nd-color: transp\ arent;\x0d\x0a border\ : 1px solid #4e4\ e4e;\x0d\x0a color: #\ ffffff;\x0d\x0a borde\ r-radius: 4px;\x0d\x0a\ padding: 0px;\x0d\ \x0a margin: 0px;\x0d\ \x0a}\x0d\x0a\x0d\x0aQCommandLi\ nkButton:disable\ d {\x0d\x0a backgroun\ d-color: transpa\ rent;\x0d\x0a color: \ #999999;\x0d\x0a}\x0d\x0a\x0d\x0a/\ * --------------\ ----------------\ ----------------\ ----------------\ ---------- */\x0d\x0a/\ * INPUTS - NO FI\ ELDS -----------\ ----------------\ ----------------\ ---------- */\x0d\x0a/\ * --------------\ ----------------\ ----------------\ ----------------\ ---------- */\x0d\x0a/\ * QComboBox ----\ ----------------\ ----------------\ ----------------\ ----------\x0d\x0a\x0d\x0aht\ tps://doc.qt.io/\ qt-5/stylesheet-\ examples.html#cu\ stomizing-qcombo\ box\x0d\x0a\x0d\x0a---------\ ----------------\ ----------------\ ----------------\ ----------------\ -- */\x0d\x0aQComboBox\ {\x0d\x0a border: 1p\ x solid #4e4e4e;\ \x0d\x0a border-radiu\ s: 4px;\x0d\x0a selec\ tion-background-\ color: #007bff;\x0d\ \x0a padding-left:\ 4px;\x0d\x0a padding\ -right: 4px;\x0d\x0a \ /* Fixes #103, #\ 111 */\x0d\x0a min-he\ ight: 1.5em;\x0d\x0a \ /* padding-top: \ 2px; removed\ to fix #132 */\x0d\ \x0a /* padding-bo\ ttom: 2px; remo\ ved to fix #132 \ */\x0d\x0a /* min-wid\ th: 75px; r\ emoved to fix #1\ 09 */\x0d\x0a /* Need\ ed to remove ind\ icator - fix #13\ 2 */\x0d\x0a}\x0d\x0a\x0d\x0aQComb\ oBox QAbstractIt\ emView {\x0d\x0a back\ ground-color: #3\ 33434;\x0d\x0a border\ -radius: 4px;\x0d\x0a \ border: 1px sol\ id #4e4e4e;\x0d\x0a s\ election-color: \ #007bff;\x0d\x0a sele\ ction-background\ -color: #4e4e4e;\ \x0d\x0a}\x0d\x0a\x0d\x0aQComboBox\ :disabled {\x0d\x0a b\ ackground-color:\ #333434;\x0d\x0a col\ or: #999999;\x0d\x0a}\x0d\ \x0a\x0d\x0aQComboBox:hov\ er {\x0d\x0a border: \ 1px solid #007bf\ f;\x0d\x0a}\x0d\x0a\x0d\x0aQComboB\ ox:on {\x0d\x0a selec\ tion-background-\ color: #333434;\x0d\ \x0a}\x0d\x0a\x0d\x0aQComboBox:\ :indicator {\x0d\x0a \ background-color\ : transparent;\x0d\x0a\ selection-back\ ground-color: tr\ ansparent;\x0d\x0a co\ lor: transparent\ ;\x0d\x0a selection-c\ olor: transparen\ t;\x0d\x0a /* Needed \ to remove indica\ tor - fix #132 *\ /\x0d\x0a}\x0d\x0a\x0d\x0aQComboBo\ x::indicator:alt\ ernate {\x0d\x0a back\ ground: #19232D;\ \x0d\x0a}\x0d\x0a\x0d\x0aQComboBox\ ::item:alternate\ {\x0d\x0a background\ : #333434;\x0d\x0a}\x0d\x0a\x0d\ \x0aQComboBox::item\ :checked {\x0d\x0a fo\ nt-weight: bold;\ \x0d\x0a}\x0d\x0a\x0d\x0aQComboBox\ ::item:selected \ {\x0d\x0a border: 0px\ solid transpare\ nt;\x0d\x0a}\x0d\x0a\x0d\x0aQCombo\ Box::drop-down {\ \x0d\x0a subcontrol-o\ rigin: padding;\x0d\ \x0a subcontrol-po\ sition: top righ\ t;\x0d\x0a width: 20p\ x;\x0d\x0a border-lef\ t-width: 0px;\x0d\x0a \ border-left-col\ or: #4e4e4e;\x0d\x0a \ border-left-styl\ e: solid;\x0d\x0a bor\ der-top-right-ra\ dius: 3px;\x0d\x0a bo\ rder-bottom-righ\ t-radius: 3px;\x0d\x0a\ }\x0d\x0a\x0d\x0aQComboBox::\ down-arrow {\x0d\x0a \ image: url(\x22:/qs\ s_icons/rc/arrow\ _down_disabled.p\ ng\x22);\x0d\x0a height:\ 12px;\x0d\x0a width:\ 12px;\x0d\x0a}\x0d\x0a\x0d\x0aQCo\ mboBox::down-arr\ ow:on, QComboBox\ ::down-arrow:hov\ er, QComboBox::d\ own-arrow:focus \ {\x0d\x0a image: url(\ \x22:/qss_icons/rc/\ arrow_down.png\x22)\ ;\x0d\x0a}\x0d\x0a\x0d\x0a/* QSlid\ er -------------\ ----------------\ ----------------\ ----------------\ ---\x0d\x0a\x0d\x0ahttps://d\ oc.qt.io/qt-5/st\ ylesheet-example\ s.html#customizi\ ng-qslider\x0d\x0a\x0d\x0a--\ ----------------\ ----------------\ ----------------\ ----------------\ --------- */\x0d\x0aQS\ lider:disabled {\ \x0d\x0a background: \ #333434;\x0d\x0a}\x0d\x0a\x0d\x0aQ\ Slider:focus {\x0d\x0a\ border: none;\x0d\ \x0a}\x0d\x0a\x0d\x0aQSlider::g\ roove:horizontal\ {\x0d\x0a background\ : #4e4e4e;\x0d\x0a bo\ rder: 1px solid \ #4e4e4e;\x0d\x0a heig\ ht: 4px;\x0d\x0a marg\ in: 0px;\x0d\x0a bord\ er-radius: 4px;\x0d\ \x0a}\x0d\x0a\x0d\x0aQSlider::g\ roove:vertical {\ \x0d\x0a background: \ #4e4e4e;\x0d\x0a bord\ er: 1px solid #4\ e4e4e;\x0d\x0a width:\ 4px;\x0d\x0a margin:\ 0px;\x0d\x0a border-\ radius: 4px;\x0d\x0a}\x0d\ \x0a\x0d\x0aQSlider::add-\ page:vertical {\x0d\ \x0a background: #\ 007bff;\x0d\x0a borde\ r: 1px solid #4e\ 4e4e;\x0d\x0a width: \ 4px;\x0d\x0a margin: \ 0px;\x0d\x0a border-r\ adius: 4px;\x0d\x0a}\x0d\x0a\ \x0d\x0aQSlider::add-p\ age:vertical :di\ sabled {\x0d\x0a back\ ground: #007bff;\ \x0d\x0a}\x0d\x0a\x0d\x0aQSlider::\ sub-page:horizon\ tal {\x0d\x0a backgro\ und: #007bff;\x0d\x0a \ border: 1px sol\ id #4e4e4e;\x0d\x0a h\ eight: 4px;\x0d\x0a m\ argin: 0px;\x0d\x0a b\ order-radius: 4p\ x;\x0d\x0a}\x0d\x0a\x0d\x0aQSlider\ ::sub-page:horiz\ ontal:disabled {\ \x0d\x0a background: \ #007bff;\x0d\x0a}\x0d\x0a\x0d\x0aQ\ Slider::handle:h\ orizontal {\x0d\x0a b\ ackground: #9999\ 99;\x0d\x0a border: 1\ px solid #4e4e4e\ ;\x0d\x0a width: 8px;\ \x0d\x0a height: 8px;\ \x0d\x0a margin: -8px\ 0px;\x0d\x0a border-\ radius: 4px;\x0d\x0a}\x0d\ \x0a\x0d\x0aQSlider::hand\ le:horizontal:ho\ ver {\x0d\x0a backgro\ und: #007bff;\x0d\x0a \ border: 1px sol\ id #007bff;\x0d\x0a}\x0d\x0a\ \x0d\x0aQSlider::handl\ e:vertical {\x0d\x0a \ background: #999\ 999;\x0d\x0a border: \ 1px solid #4e4e4\ e;\x0d\x0a width: 8px\ ;\x0d\x0a height: 8px\ ;\x0d\x0a margin: 0 -\ 8px;\x0d\x0a border-r\ adius: 4px;\x0d\x0a}\x0d\x0a\ \x0d\x0aQSlider::handl\ e:vertical:hover\ {\x0d\x0a background\ : #007bff;\x0d\x0a bo\ rder: 1px solid \ #007bff;\x0d\x0a}\x0d\x0a\x0d\x0a/\ * QLineEdit ----\ ----------------\ ----------------\ ----------------\ ----------\x0d\x0a\x0d\x0aht\ tps://doc.qt.io/\ qt-5/stylesheet-\ examples.html#cu\ stomizing-qlinee\ dit\x0d\x0a\x0d\x0a---------\ ----------------\ ----------------\ ----------------\ ----------------\ -- */\x0d\x0aQLineEdit\ {\x0d\x0a background\ -color: #333434;\ \x0d\x0a padding-top:\ 2px;\x0d\x0a /* This\ QLineEdit fix \ 103, 111 */\x0d\x0a p\ adding-bottom: 2\ px;\x0d\x0a /* This Q\ LineEdit fix 10\ 3, 111 */\x0d\x0a pad\ ding-left: 4px;\x0d\ \x0a padding-right\ : 4px;\x0d\x0a border\ -style: solid;\x0d\x0a\ border: 1px so\ lid #4e4e4e;\x0d\x0a \ border-radius: 4\ px;\x0d\x0a color: #f\ fffff;\x0d\x0a}\x0d\x0a\x0d\x0aQLi\ neEdit:disabled \ {\x0d\x0a background-\ color: #333434;\x0d\ \x0a color: #99999\ 9;\x0d\x0a}\x0d\x0a\x0d\x0aQLineEd\ it:hover {\x0d\x0a bo\ rder: 1px solid \ #007bff;\x0d\x0a colo\ r: #ffffff;\x0d\x0a}\x0d\x0a\ \x0d\x0aQLineEdit:sele\ cted {\x0d\x0a backgr\ ound: #007bff;\x0d\x0a\ color: #4e4e4e\ ;\x0d\x0a}\x0d\x0a\x0d\x0a/* QTabW\ iget -----------\ ----------------\ ----------------\ ----------------\ ---\x0d\x0a\x0d\x0ahttps://d\ oc.qt.io/qt-5/st\ ylesheet-example\ s.html#customizi\ ng-qtabwidget-an\ d-qtabbar\x0d\x0a\x0d\x0a---\ ----------------\ ----------------\ ----------------\ ----------------\ -------- */\x0d\x0aQTa\ bWidget {\x0d\x0a pad\ ding: 2px;\x0d\x0a se\ lection-backgrou\ nd-color: #4e4e4\ e;\x0d\x0a /* Add wan\ ted borders - fi\ x #141, #126, #1\ 23 */\x0d\x0a}\x0d\x0a\x0d\x0aQTab\ Widget QWidget {\ \x0d\x0a border: 0px \ solid #4e4e4e;\x0d\x0a\ }\x0d\x0a\x0d\x0aQTabWidget \ QWidget QWidget\x0d\ \x0aQTableView,\x0d\x0aQT\ abWidget QTreeVi\ ew,\x0d\x0aQTabWidget \ QListView,\x0d\x0aQTab\ Widget QGroupBox\ ,\x0d\x0aQTabWidget QL\ ineEdit,\x0d\x0aQTabWi\ dget QComboBox,\x0d\ \x0aQTabWidget QFon\ tComboBox,\x0d\x0aQTab\ Widget QTextEdit\ ,\x0d\x0aQTabWidget QS\ pinBox,\x0d\x0aQTabWid\ get QDoubleSpinB\ ox {\x0d\x0a border: \ 1px solid #4e4e4\ e;\x0d\x0a}\x0d\x0a\x0d\x0aQTabWid\ get::pane {\x0d\x0a b\ order: 1px solid\ #4e4e4e;\x0d\x0a bor\ der-radius: 4px;\ \x0d\x0a margin: 0px;\ \x0d\x0a /* Fixes dou\ ble border insid\ e pane wit pyqt5\ */\x0d\x0a padding: \ 0px;\x0d\x0a}\x0d\x0a\x0d\x0aQTabW\ idget::pane:sele\ cted {\x0d\x0a backgr\ ound-color: #4e4\ e4e;\x0d\x0a border: \ 1px solid #007bf\ f;\x0d\x0a}\x0d\x0a\x0d\x0a/* QTab\ Bar ------------\ ----------------\ ----------------\ ----------------\ ----\x0d\x0a\x0d\x0ahttps://\ doc.qt.io/qt-5/s\ tylesheet-exampl\ es.html#customiz\ ing-qtabwidget-a\ nd-qtabbar\x0d\x0a\x0d\x0a--\ ----------------\ ----------------\ ----------------\ ----------------\ --------- */\x0d\x0aQT\ abBar {\x0d\x0a qprop\ erty-drawBase: 0\ ;\x0d\x0a border-radi\ us: 4px;\x0d\x0a marg\ in: 0px;\x0d\x0a padd\ ing: 2px;\x0d\x0a bor\ der: 0;\x0d\x0a /* le\ ft: 5px; move to\ the right by 5p\ x - removed for \ fix */\x0d\x0a}\x0d\x0a\x0d\x0aQTa\ bBar::close-butt\ on {\x0d\x0a border: \ 0;\x0d\x0a margin: 2p\ x;\x0d\x0a padding: 2\ px;\x0d\x0a image: ur\ l(\x22:/qss_icons/r\ c/window_close.p\ ng\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQTab\ Bar::close-butto\ n:hover {\x0d\x0a ima\ ge: url(\x22:/qss_i\ cons/rc/window_c\ lose_focus.png\x22)\ ;\x0d\x0a}\x0d\x0a\x0d\x0aQTabBar:\ :close-button:pr\ essed {\x0d\x0a image\ : url(\x22:/qss_ico\ ns/rc/window_clo\ se_pressed.png\x22)\ ;\x0d\x0a}\x0d\x0a\x0d\x0a/* QTabB\ ar::tab - select\ ed -------------\ ----------------\ ----------------\ ---\x0d\x0a\x0d\x0ahttps://d\ oc.qt.io/qt-5/st\ ylesheet-example\ s.html#customizi\ ng-qtabwidget-an\ d-qtabbar\x0d\x0a\x0d\x0a---\ ----------------\ ----------------\ ----------------\ ----------------\ -------- */\x0d\x0aQTa\ bBar::tab {\x0d\x0a /\ * !selected and \ disabled -------\ ----------------\ ----------------\ -- */\x0d\x0a /* sele\ cted -----------\ ----------------\ ----------------\ ------------ */\x0d\ \x0a}\x0d\x0a\x0d\x0aQTabBar::t\ ab:top:selected:\ disabled {\x0d\x0a bo\ rder-bottom: 3px\ solid #007bff;\x0d\ \x0a color: #99999\ 9;\x0d\x0a background\ -color: #4e4e4e;\ \x0d\x0a}\x0d\x0a\x0d\x0aQTabBar::\ tab:bottom:selec\ ted:disabled {\x0d\x0a\ border-top: 3p\ x solid #007bff;\ \x0d\x0a color: #9999\ 99;\x0d\x0a backgroun\ d-color: #4e4e4e\ ;\x0d\x0a}\x0d\x0a\x0d\x0aQTabBar:\ :tab:left:select\ ed:disabled {\x0d\x0a \ border-right: 3\ px solid #007bff\ ;\x0d\x0a color: #999\ 999;\x0d\x0a backgrou\ nd-color: #4e4e4\ e;\x0d\x0a}\x0d\x0a\x0d\x0aQTabBar\ ::tab:right:sele\ cted:disabled {\x0d\ \x0a border-left: \ 3px solid #007bf\ f;\x0d\x0a color: #99\ 9999;\x0d\x0a backgro\ und-color: #4e4e\ 4e;\x0d\x0a}\x0d\x0a\x0d\x0aQTabBa\ r::tab:top:!sele\ cted:disabled {\x0d\ \x0a border-bottom\ : 3px solid #333\ 434;\x0d\x0a color: #\ 999999;\x0d\x0a backg\ round-color: #33\ 3434;\x0d\x0a}\x0d\x0a\x0d\x0aQTab\ Bar::tab:bottom:\ !selected:disabl\ ed {\x0d\x0a border-t\ op: 3px solid #3\ 33434;\x0d\x0a color:\ #999999;\x0d\x0a bac\ kground-color: #\ 333434;\x0d\x0a}\x0d\x0a\x0d\x0aQT\ abBar::tab:left:\ !selected:disabl\ ed {\x0d\x0a border-r\ ight: 3px solid \ #333434;\x0d\x0a colo\ r: #999999;\x0d\x0a b\ ackground-color:\ #333434;\x0d\x0a}\x0d\x0a\x0d\x0a\ QTabBar::tab:rig\ ht:!selected:dis\ abled {\x0d\x0a borde\ r-left: 3px soli\ d #333434;\x0d\x0a co\ lor: #999999;\x0d\x0a \ background-colo\ r: #333434;\x0d\x0a}\x0d\x0a\ \x0d\x0aQTabBar::tab:t\ op:!selected {\x0d\x0a\ border-bottom:\ 2px solid #3334\ 34;\x0d\x0a margin-to\ p: 2px;\x0d\x0a}\x0d\x0a\x0d\x0aQT\ abBar::tab:botto\ m:!selected {\x0d\x0a \ border-top: 2px\ solid #333434;\x0d\ \x0a margin-bottom\ : 3px;\x0d\x0a}\x0d\x0a\x0d\x0aQTa\ bBar::tab:left:!\ selected {\x0d\x0a bo\ rder-left: 2px s\ olid #333434;\x0d\x0a \ margin-right: 2\ px;\x0d\x0a}\x0d\x0a\x0d\x0aQTabBa\ r::tab:right:!se\ lected {\x0d\x0a bord\ er-right: 2px so\ lid #333434;\x0d\x0a \ margin-left: 2px\ ;\x0d\x0a}\x0d\x0a\x0d\x0aQTabBar:\ :tab:top {\x0d\x0a ba\ ckground-color: \ #4e4e4e;\x0d\x0a colo\ r: #ffffff;\x0d\x0a m\ argin-left: 2px;\ \x0d\x0a padding-left\ : 4px;\x0d\x0a paddin\ g-right: 4px;\x0d\x0a \ padding-top: 2p\ x;\x0d\x0a padding-bo\ ttom: 2px;\x0d\x0a mi\ n-width: 5px;\x0d\x0a \ border-bottom: \ 3px solid #4e4e4\ e;\x0d\x0a border-top\ -left-radius: 3p\ x;\x0d\x0a border-top\ -right-radius: 3\ px;\x0d\x0a}\x0d\x0a\x0d\x0aQTabBa\ r::tab:top:selec\ ted {\x0d\x0a backgro\ und-color: #6666\ 66;\x0d\x0a color: #f\ fffff;\x0d\x0a border\ -bottom: 3px sol\ id #007bff;\x0d\x0a b\ order-top-left-r\ adius: 3px;\x0d\x0a b\ order-top-right-\ radius: 3px;\x0d\x0a}\x0d\ \x0a\x0d\x0aQTabBar::tab:\ top:!selected:ho\ ver {\x0d\x0a border:\ 1px solid #007b\ ff;\x0d\x0a border-bo\ ttom: 3px solid \ #007bff;\x0d\x0a padd\ ing: 0px;\x0d\x0a}\x0d\x0a\x0d\x0a\ QTabBar::tab:bot\ tom {\x0d\x0a color: \ #ffffff;\x0d\x0a bord\ er-top: 3px soli\ d #4e4e4e;\x0d\x0a ba\ ckground-color: \ #4e4e4e;\x0d\x0a marg\ in-left: 2px;\x0d\x0a \ padding-left: 4\ px;\x0d\x0a padding-r\ ight: 4px;\x0d\x0a pa\ dding-top: 2px;\x0d\ \x0a padding-botto\ m: 2px;\x0d\x0a borde\ r-bottom-left-ra\ dius: 3px;\x0d\x0a bo\ rder-bottom-righ\ t-radius: 3px;\x0d\x0a\ min-width: 5px\ ;\x0d\x0a}\x0d\x0a\x0d\x0aQTabBar:\ :tab:bottom:sele\ cted {\x0d\x0a color:\ #ffffff;\x0d\x0a bac\ kground-color: #\ 666666;\x0d\x0a borde\ r-top: 3px solid\ #007bff;\x0d\x0a bor\ der-bottom-left-\ radius: 3px;\x0d\x0a \ border-bottom-ri\ ght-radius: 3px;\ \x0d\x0a}\x0d\x0a\x0d\x0aQTabBar::\ tab:bottom:!sele\ cted:hover {\x0d\x0a \ border: 1px soli\ d #007bff;\x0d\x0a bo\ rder-top: 3px so\ lid #007bff;\x0d\x0a \ padding: 0px;\x0d\x0a}\ \x0d\x0a\x0d\x0aQTabBar::tab\ :left {\x0d\x0a color\ : #ffffff;\x0d\x0a ba\ ckground-color: \ #4e4e4e;\x0d\x0a marg\ in-top: 2px;\x0d\x0a \ padding-left: 2p\ x;\x0d\x0a padding-ri\ ght: 2px;\x0d\x0a pad\ ding-top: 4px;\x0d\x0a\ padding-bottom\ : 4px;\x0d\x0a border\ -top-left-radius\ : 3px;\x0d\x0a border\ -bottom-left-rad\ ius: 3px;\x0d\x0a min\ -height: 5px;\x0d\x0a}\ \x0d\x0a\x0d\x0aQTabBar::tab\ :left:selected {\ \x0d\x0a color: #ffff\ ff;\x0d\x0a backgroun\ d-color: #666666\ ;\x0d\x0a border-righ\ t: 3px solid #00\ 7bff;\x0d\x0a}\x0d\x0a\x0d\x0aQTab\ Bar::tab:left:!s\ elected:hover {\x0d\ \x0a border: 1px s\ olid #007bff;\x0d\x0a \ border-right: 3\ px solid #007bff\ ;\x0d\x0a padding: 0p\ x;\x0d\x0a}\x0d\x0a\x0d\x0aQTabBar\ ::tab:right {\x0d\x0a \ color: #ffffff;\ \x0d\x0a background-c\ olor: #4e4e4e;\x0d\x0a\ margin-top: 2p\ x;\x0d\x0a padding-le\ ft: 2px;\x0d\x0a padd\ ing-right: 2px;\x0d\ \x0a padding-top: \ 4px;\x0d\x0a padding-\ bottom: 4px;\x0d\x0a \ border-top-right\ -radius: 3px;\x0d\x0a \ border-bottom-r\ ight-radius: 3px\ ;\x0d\x0a min-height:\ 5px;\x0d\x0a}\x0d\x0a\x0d\x0aQTab\ Bar::tab:right:s\ elected {\x0d\x0a col\ or: #ffffff;\x0d\x0a \ background-color\ : #666666;\x0d\x0a bo\ rder-left: 3px s\ olid #007bff;\x0d\x0a}\ \x0d\x0a\x0d\x0aQTabBar::tab\ :right:!selected\ :hover {\x0d\x0a bord\ er: 1px solid #0\ 07bff;\x0d\x0a border\ -left: 3px solid\ #007bff;\x0d\x0a pad\ ding: 0px;\x0d\x0a}\x0d\x0a\x0d\ \x0aQTabBar QToolBu\ tton {\x0d\x0a /* Fix\ es #136 */\x0d\x0a ba\ ckground-color: \ #4e4e4e;\x0d\x0a heig\ ht: 12px;\x0d\x0a wid\ th: 12px;\x0d\x0a}\x0d\x0a\x0d\x0a\ QTabBar QToolBut\ ton::left-arrow:\ enabled {\x0d\x0a ima\ ge: url(\x22:/qss_i\ cons/rc/arrow_le\ ft.png\x22);\x0d\x0a}\x0d\x0a\x0d\x0a\ QTabBar QToolBut\ ton::left-arrow:\ disabled {\x0d\x0a im\ age: url(\x22:/qss_\ icons/rc/arrow_l\ eft_disabled.png\ \x22);\x0d\x0a}\x0d\x0a\x0d\x0aQTabBa\ r QToolButton::r\ ight-arrow:enabl\ ed {\x0d\x0a image: u\ rl(\x22:/qss_icons/\ rc/arrow_right.p\ ng\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQTab\ Bar QToolButton:\ :right-arrow:dis\ abled {\x0d\x0a image\ : url(\x22:/qss_ico\ ns/rc/arrow_righ\ t_disabled.png\x22)\ ;\x0d\x0a}\x0d\x0a\x0d\x0a/* QDock\ Wiget ----------\ ----------------\ ----------------\ ----------------\ ---\x0d\x0a\x0d\x0a---------\ ----------------\ ----------------\ ----------------\ ----------------\ -- */\x0d\x0aQDockWidg\ et {\x0d\x0a outline:\ 1px solid #4e4e\ 4e;\x0d\x0a backgroun\ d-color: #333434\ ;\x0d\x0a border: 1px\ solid #4e4e4e;\x0d\ \x0a border-radius\ : 4px;\x0d\x0a titleb\ ar-close-icon: u\ rl(\x22:/qss_icons/\ rc/window_close.\ png\x22);\x0d\x0a titleb\ ar-normal-icon: \ url(\x22:/qss_icons\ /rc/window_undoc\ k.png\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQ\ DockWidget::titl\ e {\x0d\x0a /* Better\ size for title \ bar */\x0d\x0a paddin\ g: 6px;\x0d\x0a borde\ r: none;\x0d\x0a back\ ground-color: #4\ e4e4e;\x0d\x0a}\x0d\x0a\x0d\x0aQDo\ ckWidget::close-\ button {\x0d\x0a back\ ground-color: #4\ e4e4e;\x0d\x0a border\ -radius: 4px;\x0d\x0a \ border: none;\x0d\x0a\ }\x0d\x0a\x0d\x0aQDockWidget\ ::close-button:h\ over {\x0d\x0a image:\ url(\x22:/qss_icon\ s/rc/window_clos\ e_focus.png\x22);\x0d\x0a\ }\x0d\x0a\x0d\x0aQDockWidget\ ::close-button:p\ ressed {\x0d\x0a imag\ e: url(\x22:/qss_ic\ ons/rc/window_cl\ ose_pressed.png\x22\ );\x0d\x0a}\x0d\x0a\x0d\x0aQDockWi\ dget::float-butt\ on {\x0d\x0a backgrou\ nd-color: #4e4e4\ e;\x0d\x0a border-rad\ ius: 4px;\x0d\x0a bor\ der: none;\x0d\x0a}\x0d\x0a\x0d\ \x0aQDockWidget::fl\ oat-button:hover\ {\x0d\x0a image: url\ (\x22:/qss_icons/rc\ /window_undock_f\ ocus.png\x22);\x0d\x0a}\x0d\x0a\ \x0d\x0aQDockWidget::f\ loat-button:pres\ sed {\x0d\x0a image: \ url(\x22:/qss_icons\ /rc/window_undoc\ k_pressed.png\x22);\ \x0d\x0a}\x0d\x0a\x0d\x0a/* QTreeV\ iew QListView QT\ ableView -------\ ----------------\ ----------------\ --\x0d\x0a\x0d\x0ahttps://do\ c.qt.io/qt-5/sty\ lesheet-examples\ .html#customizin\ g-qtreeview\x0d\x0ahtt\ ps://doc.qt.io/q\ t-5/stylesheet-e\ xamples.html#cus\ tomizing-qlistvi\ ew\x0d\x0ahttps://doc.\ qt.io/qt-5/style\ sheet-examples.h\ tml#customizing-\ qtableview\x0d\x0a\x0d\x0a--\ ----------------\ ----------------\ ----------------\ ----------------\ --------- */\x0d\x0aQT\ reeView:branch:s\ elected, QTreeVi\ ew:branch:hover \ {\x0d\x0a background:\ url(\x22:/qss_icon\ s/rc/transparent\ .png\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQT\ reeView:branch:h\ as-siblings:!adj\ oins-item {\x0d\x0a b\ order-image: url\ (\x22:/qss_icons/rc\ /branch_line.png\ \x22) 0;\x0d\x0a}\x0d\x0a\x0d\x0aQTre\ eView:branch:has\ -siblings:adjoin\ s-item {\x0d\x0a bord\ er-image: url(\x22:\ /qss_icons/rc/br\ anch_more.png\x22) \ 0;\x0d\x0a}\x0d\x0a\x0d\x0aQTreeVi\ ew:branch:!has-c\ hildren:!has-sib\ lings:adjoins-it\ em {\x0d\x0a border-i\ mage: url(\x22:/qss\ _icons/rc/branch\ _end.png\x22) 0;\x0d\x0a}\ \x0d\x0a\x0d\x0aQTreeView:br\ anch:has-childre\ n:!has-siblings:\ closed, QTreeVie\ w:branch:closed:\ has-children:has\ -siblings {\x0d\x0a b\ order-image: non\ e;\x0d\x0a image: url\ (\x22:/qss_icons/rc\ /branch_closed.p\ ng\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQTre\ eView:branch:ope\ n:has-children:!\ has-siblings, QT\ reeView:branch:o\ pen:has-children\ :has-siblings {\x0d\ \x0a border-image:\ none;\x0d\x0a image:\ url(\x22:/qss_icon\ s/rc/branch_open\ .png\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQT\ reeView:branch:h\ as-children:!has\ -siblings:closed\ :hover, QTreeVie\ w:branch:closed:\ has-children:has\ -siblings:hover \ {\x0d\x0a image: url(\ \x22:/qss_icons/rc/\ branch_closed_fo\ cus.png\x22);\x0d\x0a}\x0d\x0a\x0d\ \x0aQTreeView:branc\ h:open:has-child\ ren:!has-sibling\ s:hover, QTreeVi\ ew:branch:open:h\ as-children:has-\ siblings:hover {\ \x0d\x0a image: url(\x22\ :/qss_icons/rc/b\ ranch_open_focus\ .png\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQT\ reeView::indicat\ or:checked,\x0d\x0aQLi\ stView::indicato\ r:checked {\x0d\x0a i\ mage: url(\x22:/qss\ _icons/rc/checkb\ ox_checked.png\x22)\ ;\x0d\x0a}\x0d\x0a\x0d\x0aQTreeVie\ w::indicator:che\ cked:hover, QTre\ eView::indicator\ :checked:focus, \ QTreeView::indic\ ator:checked:pre\ ssed,\x0d\x0aQListView\ ::indicator:chec\ ked:hover,\x0d\x0aQLis\ tView::indicator\ :checked:focus,\x0d\ \x0aQListView::indi\ cator:checked:pr\ essed {\x0d\x0a image\ : url(\x22:/qss_ico\ ns/rc/checkbox_c\ hecked_focus.png\ \x22);\x0d\x0a}\x0d\x0a\x0d\x0aQTreeV\ iew::indicator:u\ nchecked,\x0d\x0aQList\ View::indicator:\ unchecked {\x0d\x0a i\ mage: url(\x22:/qss\ _icons/rc/checkb\ ox_unchecked.png\ \x22);\x0d\x0a}\x0d\x0a\x0d\x0aQTreeV\ iew::indicator:u\ nchecked:hover, \ QTreeView::indic\ ator:unchecked:f\ ocus, QTreeView:\ :indicator:unche\ cked:pressed,\x0d\x0aQ\ ListView::indica\ tor:unchecked:ho\ ver,\x0d\x0aQListView:\ :indicator:unche\ cked:focus,\x0d\x0aQLi\ stView::indicato\ r:unchecked:pres\ sed {\x0d\x0a image: \ url(\x22:/qss_icons\ /rc/checkbox_unc\ hecked_focus.png\ \x22);\x0d\x0a}\x0d\x0a\x0d\x0aQTreeV\ iew::indicator:i\ ndeterminate,\x0d\x0aQ\ ListView::indica\ tor:indeterminat\ e {\x0d\x0a image: ur\ l(\x22:/qss_icons/r\ c/checkbox_indet\ erminate.png\x22);\x0d\ \x0a}\x0d\x0a\x0d\x0aQTreeView:\ :indicator:indet\ erminate:hover, \ QTreeView::indic\ ator:indetermina\ te:focus, QTreeV\ iew::indicator:i\ ndeterminate:pre\ ssed,\x0d\x0aQListView\ ::indicator:inde\ terminate:hover,\ \x0d\x0aQListView::ind\ icator:indetermi\ nate:focus,\x0d\x0aQLi\ stView::indicato\ r:indeterminate:\ pressed {\x0d\x0a ima\ ge: url(\x22:/qss_i\ cons/rc/checkbox\ _indeterminate_f\ ocus.png\x22);\x0d\x0a}\x0d\x0a\ \x0d\x0aQTreeView,\x0d\x0aQL\ istView,\x0d\x0aQTable\ View,\x0d\x0aQColumnVi\ ew {\x0d\x0a backgrou\ nd-color: #33343\ 4;\x0d\x0a border: 1p\ x solid #4e4e4e;\ \x0d\x0a color: #ffff\ ff;\x0d\x0a gridline-\ color: #4e4e4e;\x0d\ \x0a border-radius\ : 4px;\x0d\x0a}\x0d\x0a\x0d\x0aQTr\ eeView:disabled,\ \x0d\x0aQListView:disa\ bled,\x0d\x0aQTableVie\ w:disabled,\x0d\x0aQCo\ lumnView:disable\ d {\x0d\x0a backgroun\ d-color: #333434\ ;\x0d\x0a color: #999\ 999;\x0d\x0a}\x0d\x0a\x0d\x0aQTree\ View:selected,\x0d\x0a\ QListView:select\ ed,\x0d\x0aQTableView:\ selected,\x0d\x0aQColu\ mnView:selected \ {\x0d\x0a background:\ #007bff;\x0d\x0a col\ or: #4e4e4e;\x0d\x0a}\x0d\ \x0a\x0d\x0aQTreeView::ho\ ver,\x0d\x0aQListView:\ :hover,\x0d\x0aQTableV\ iew::hover,\x0d\x0aQCo\ lumnView::hover \ {\x0d\x0a background-\ color: #333434;\x0d\ \x0a border: 1px s\ olid #007bff;\x0d\x0a}\ \x0d\x0a\x0d\x0aQTreeView::i\ tem:pressed,\x0d\x0aQL\ istView::item:pr\ essed,\x0d\x0aQTableVi\ ew::item:pressed\ ,\x0d\x0aQColumnView::\ item:pressed {\x0d\x0a\ background-col\ or: #007bff;\x0d\x0a}\x0d\ \x0a\x0d\x0aQTreeView::it\ em:selected:hove\ r,\x0d\x0aQListView::i\ tem:selected:hov\ er,\x0d\x0aQTableView:\ :item:selected:h\ over,\x0d\x0aQColumnVi\ ew::item:selecte\ d:hover {\x0d\x0a bac\ kground: #007bff\ ;\x0d\x0a color: #333\ 434;\x0d\x0a}\x0d\x0a\x0d\x0aQTree\ View::item:selec\ ted:active,\x0d\x0aQLi\ stView::item:sel\ ected:active,\x0d\x0aQ\ TableView::item:\ selected:active,\ \x0d\x0aQColumnView::i\ tem:selected:act\ ive {\x0d\x0a backgro\ und-color: #007b\ ff;\x0d\x0a}\x0d\x0a\x0d\x0aQTreeV\ iew::item:!selec\ ted:hover,\x0d\x0aQLis\ tView::item:!sel\ ected:hover,\x0d\x0aQT\ ableView::item:!\ selected:hover,\x0d\ \x0aQColumnView::it\ em:!selected:hov\ er {\x0d\x0a outline:\ 0;\x0d\x0a color: #0\ 07bff;\x0d\x0a backgr\ ound-color: #4e4\ e4e;\x0d\x0a}\x0d\x0a\x0d\x0aQTabl\ eCornerButton::s\ ection {\x0d\x0a back\ ground-color: #3\ 33434;\x0d\x0a border\ : 1px transparen\ t #4e4e4e;\x0d\x0a bo\ rder-radius: 0px\ ;\x0d\x0a}\x0d\x0a\x0d\x0a/* QHead\ erView ---------\ ----------------\ ----------------\ ----------------\ ---\x0d\x0a\x0d\x0ahttps://d\ oc.qt.io/qt-5/st\ ylesheet-example\ s.html#customizi\ ng-qheaderview\x0d\x0a\ \x0d\x0a--------------\ ----------------\ ----------------\ ----------------\ ------------- */\ \x0d\x0aQHeaderView {\x0d\ \x0a background-co\ lor: #4e4e4e;\x0d\x0a \ border: 0px tra\ nsparent #4e4e4e\ ;\x0d\x0a padding: 0p\ x;\x0d\x0a margin: 0p\ x;\x0d\x0a border-rad\ ius: 0px;\x0d\x0a}\x0d\x0a\x0d\x0a\ QHeaderView:disa\ bled {\x0d\x0a backgr\ ound-color: #4e4\ e4e;\x0d\x0a border: \ 1px transparent \ #4e4e4e;\x0d\x0a padd\ ing: 2px;\x0d\x0a}\x0d\x0a\x0d\x0a\ QHeaderView::sec\ tion {\x0d\x0a backgr\ ound-color: #4e4\ e4e;\x0d\x0a color: #\ ffffff;\x0d\x0a paddi\ ng: 2px;\x0d\x0a bord\ er-radius: 0px;\x0d\ \x0a text-align: l\ eft;\x0d\x0a}\x0d\x0a\x0d\x0aQHead\ erView::section:\ checked {\x0d\x0a col\ or: #ffffff;\x0d\x0a \ background-color\ : #007bff;\x0d\x0a}\x0d\x0a\x0d\ \x0aQHeaderView::se\ ction:checked:di\ sabled {\x0d\x0a colo\ r: #999999;\x0d\x0a b\ ackground-color:\ #007bff;\x0d\x0a}\x0d\x0a\x0d\x0a\ QHeaderView::sec\ tion::horizontal\ {\x0d\x0a border-lef\ t: 1px solid #33\ 3434;\x0d\x0a}\x0d\x0a\x0d\x0aQHea\ derView::section\ ::horizontal::fi\ rst, QHeaderView\ ::section::horiz\ ontal::only-one \ {\x0d\x0a border-left\ : 1px solid #4e4\ e4e;\x0d\x0a}\x0d\x0a\x0d\x0aQHead\ erView::section:\ :horizontal:disa\ bled {\x0d\x0a color:\ #999999;\x0d\x0a}\x0d\x0a\x0d\x0a\ QHeaderView::sec\ tion::vertical {\ \x0d\x0a border-top: \ 1px solid #33343\ 4;\x0d\x0a}\x0d\x0a\x0d\x0aQHeader\ View::section::v\ ertical::first, \ QHeaderView::sec\ tion::vertical::\ only-one {\x0d\x0a bo\ rder-top: 1px so\ lid #4e4e4e;\x0d\x0a}\x0d\ \x0a\x0d\x0aQHeaderView::\ section::vertica\ l:disabled {\x0d\x0a \ color: #999999;\x0d\ \x0a}\x0d\x0a\x0d\x0aQHeaderVie\ w::down-arrow {\x0d\ \x0a /* Those sett\ ings (border/wid\ th/height/backgr\ ound-color) solv\ e bug */\x0d\x0a /* t\ ransparent arrow\ background and \ size */\x0d\x0a backg\ round-color: #4e\ 4e4e;\x0d\x0a height:\ 12px;\x0d\x0a width:\ 12px;\x0d\x0a image:\ url(\x22:/qss_icon\ s/rc/arrow_down.\ png\x22);\x0d\x0a}\x0d\x0a\x0d\x0aQHe\ aderView::up-arr\ ow {\x0d\x0a backgrou\ nd-color: #4e4e4\ e;\x0d\x0a height: 12\ px;\x0d\x0a width: 12\ px;\x0d\x0a image: ur\ l(\x22:/qss_icons/r\ c/arrow_up.png\x22)\ ;\x0d\x0a}\x0d\x0a\x0d\x0a/* QTool\ Box ------------\ ----------------\ ----------------\ ----------------\ --\x0d\x0a\x0d\x0ahttps://do\ c.qt.io/qt-5/sty\ lesheet-examples\ .html#customizin\ g-qtoolbox\x0d\x0a\x0d\x0a--\ ----------------\ ----------------\ ----------------\ ----------------\ --------- */\x0d\x0aQT\ oolBox {\x0d\x0a padd\ ing: 0px;\x0d\x0a bor\ der: 0px;\x0d\x0a bor\ der: 1px solid #\ 4e4e4e;\x0d\x0a}\x0d\x0a\x0d\x0aQT\ oolBox::selected\ {\x0d\x0a padding: 0\ px;\x0d\x0a border: 2\ px solid #007bff\ ;\x0d\x0a}\x0d\x0a\x0d\x0aQToolBox\ ::tab {\x0d\x0a backg\ round-color: #33\ 3434;\x0d\x0a border:\ 1px solid #4e4e\ 4e;\x0d\x0a color: #f\ fffff;\x0d\x0a border\ -top-left-radius\ : 4px;\x0d\x0a border\ -top-right-radiu\ s: 4px;\x0d\x0a}\x0d\x0a\x0d\x0aQT\ oolBox::tab:disa\ bled {\x0d\x0a color:\ #999999;\x0d\x0a}\x0d\x0a\x0d\x0a\ QToolBox::tab:se\ lected {\x0d\x0a back\ ground-color: #6\ 66666;\x0d\x0a border\ -bottom: 2px sol\ id #007bff;\x0d\x0a}\x0d\x0a\ \x0d\x0aQToolBox::tab:\ selected:disable\ d {\x0d\x0a backgroun\ d-color: #4e4e4e\ ;\x0d\x0a border-bott\ om: 2px solid #0\ 07bff;\x0d\x0a}\x0d\x0a\x0d\x0aQTo\ olBox::tab:!sele\ cted {\x0d\x0a backgr\ ound-color: #4e4\ e4e;\x0d\x0a border-b\ ottom: 2px solid\ #4e4e4e;\x0d\x0a}\x0d\x0a\x0d\x0a\ QToolBox::tab:!s\ elected:disabled\ {\x0d\x0a background\ -color: #333434;\ \x0d\x0a}\x0d\x0a\x0d\x0aQToolBox:\ :tab:hover {\x0d\x0a \ border-color: #0\ 07bff;\x0d\x0a border\ -bottom: 2px sol\ id #007bff;\x0d\x0a}\x0d\x0a\ \x0d\x0aQToolBox QScro\ llArea QWidget Q\ Widget {\x0d\x0a padd\ ing: 0px;\x0d\x0a bor\ der: 0px;\x0d\x0a bac\ kground-color: #\ 333434;\x0d\x0a}\x0d\x0a\x0d\x0a/*\ QFrame --------\ ----------------\ ----------------\ ----------------\ ---------\x0d\x0a\x0d\x0ahtt\ ps://doc.qt.io/q\ t-5/stylesheet-e\ xamples.html#cus\ tomizing-qframe\x0d\ \x0a\x0d\x0a-------------\ ----------------\ ----------------\ ----------------\ -------------- *\ /\x0d\x0a.QFrame {\x0d\x0a \ border-radius: 4\ px;\x0d\x0a border: 1\ px solid #4e4e4e\ ;\x0d\x0a}\x0d\x0a\x0d\x0a.QFrame[\ frameShape=\x220\x22] \ {\x0d\x0a border-radi\ us: 4px;\x0d\x0a bord\ er: 1px transpar\ ent #4e4e4e;\x0d\x0a}\x0d\ \x0a\x0d\x0a.QFrame[heigh\ t=\x223\x22], .QFrame[\ width=\x223\x22] {\x0d\x0a \ background-color\ : #333434;\x0d\x0a}\x0d\x0a\x0d\ \x0a/* QSplitter --\ ----------------\ ----------------\ ----------------\ ------------\x0d\x0a\x0d\x0a\ https://doc.qt.i\ o/qt-5/styleshee\ t-examples.html#\ customizing-qspl\ itter\x0d\x0a\x0d\x0a-------\ ----------------\ ----------------\ ----------------\ ----------------\ ---- */\x0d\x0aQSplitt\ er {\x0d\x0a backgrou\ nd-color: #4e4e4\ e;\x0d\x0a spacing: 0\ px;\x0d\x0a padding: \ 0px;\x0d\x0a margin: \ 0px;\x0d\x0a}\x0d\x0a\x0d\x0aQSpli\ tter::separator \ {\x0d\x0a background-\ color: #4e4e4e;\x0d\ \x0a border: 0px s\ olid #333434;\x0d\x0a \ spacing: 0px;\x0d\x0a\ padding: 1px;\x0d\ \x0a margin: 0px;\x0d\ \x0a}\x0d\x0a\x0d\x0aQSplitter:\ :separator:hover\ {\x0d\x0a background\ -color: #999999;\ \x0d\x0a}\x0d\x0a\x0d\x0aQSplitter\ ::separator:hori\ zontal {\x0d\x0a widt\ h: 5px;\x0d\x0a image\ : url(\x22:/qss_ico\ ns/rc/line_verti\ cal.png\x22);\x0d\x0a}\x0d\x0a\x0d\ \x0aQSplitter::sepa\ rator:vertical {\ \x0d\x0a height: 5px;\ \x0d\x0a image: url(\x22\ :/qss_icons/rc/l\ ine_horizontal.p\ ng\x22);\x0d\x0a}\x0d\x0a\x0d\x0a/* Q\ DateEdit -------\ ----------------\ ----------------\ ----------------\ -------\x0d\x0a\x0d\x0a-----\ ----------------\ ----------------\ ----------------\ ----------------\ ------ */\x0d\x0aQDate\ Edit {\x0d\x0a select\ ion-background-c\ olor: #007bff;\x0d\x0a\ border-style: \ solid;\x0d\x0a border\ : 1px solid #4e4\ e4e;\x0d\x0a border-r\ adius: 4px;\x0d\x0a /\ * This fixes 103\ , 111 */\x0d\x0a padd\ ing-top: 2px;\x0d\x0a \ /* This 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\x00\x00\x19\xb6\x00\x00\x00\x00\x00\x01\x00\x01\x18\x84\ \x00\x00 \x1e\x00\x00\x00\x00\x00\x01\x00\x01IZ\ \x00\x00*\xb2\x00\x00\x00\x00\x00\x01\x00\x01\xafE\ \x00\x00#\xba\x00\x00\x00\x00\x00\x01\x00\x01f)\ \x00\x00\x12\xfc\x00\x00\x00\x00\x00\x01\x00\x00\xcc\x02\ \x00\x00\x0cV\x00\x00\x00\x00\x00\x01\x00\x00\x88$\ \x00\x00(\xb2\x00\x00\x00\x00\x00\x01\x00\x01\x9eR\ \x00\x00\x1e\xa8\x00\x00\x00\x00\x00\x01\x00\x01?)\ \x00\x00.\xe4\x00\x00\x00\x00\x00\x01\x00\x01\xed\xc8\ " def qInitResources(): QtCore.qRegisterResourceData(0x01, qt_resource_struct, qt_resource_name, qt_resource_data) def qCleanupResources(): QtCore.qUnregisterResourceData(0x01, qt_resource_struct, qt_resource_name, qt_resource_data) qInitResources()
import csv import numpy as np class CsvUtils: @classmethod def single_line_header_csv_to_dict(cls, fname, delimiter="," ): header = None data = None with open(fname) as f: reader = csv.reader(f, delimiter=delimiter) header = next(reader) # skip header data = [row for row in reader] data = np.asarray(data) csv_dict = {} for i, header_name in enumerate(header): csv_dict[header_name] = data[:, i] return csv_dict
import os import numpy as np from ptsnet.simulation.sim import PTSNETSimulation from ptsnet.utils.io import get_example_path def test_initial_conditions(): sim = PTSNETSimulation( inpfile = get_example_path('BWSN_F'), settings = { 'time_step' : 0.0001, 'save_results' : False, 'default_wave_speed' : 1000, 'wave_speed_method' : 'user' }) sim.add_curve('V_BUTTERFLY', 'valve', [1, 0.8, 0.6, 0.4, 0.2, 0], [0.067, 0.044, 0.024, 0.011, 0.004, 0. ]) sim.assign_curve_to('V_BUTTERFLY', 'VALVE') sim.initialize() assert np.allclose(sim.ss['valve'].flowrate, np.array([0.028]), atol=1e-3) assert np.allclose(sim.ss['valve'].head_loss, np.array([1.388]), atol=1e-3) assert np.allclose(sim.ss['valve'].K, np.array([4.885e-05])) assert np.allclose(sim.ss['pipe'].flowrate, np.array([ 0.286, 0.135, 0.151, 0.118, 0.016, 0.065, 0.028, 0.037, 0.102]), atol = 1e-3) assert np.allclose(sim.ss['pipe'].head_loss, np.array([ 1.662e-07, 7.835e-08, 8.783e-08, 6.887e-08, 9.481e-09, 3.792e-08, 1.646e-08, 2.147e-08, 5.939e-08])) test_initial_conditions()
# -*- coding: utf-8 -*- # Licensed under the MIT license # http://opensource.org/licenses/mit-license.php # Copyright 2010, Frank Scholz <dev@coherence-project.org> # Copyright 2018, Pol Canelles <canellestudi@gmail.com> ''' :class:`WANDeviceClient` ------------------------ A class representing an embedded device with a WAN client. ''' from eventdispatcher import EventDispatcher, Property from coherence import log from coherence.upnp.devices.wan_connection_device_client import ( WANConnectionDeviceClient, ) from coherence.upnp.services.clients.wan_common_interface_config_client import ( WANCommonInterfaceConfigClient, ) class WANDeviceClient(EventDispatcher, log.LogAble): ''' .. versionchanged:: 0.9.0 * Introduced inheritance from EventDispatcher * The emitted events changed: - Coherence.UPnP.EmbeddedDeviceClient.detection_completed => embedded_device_client_detection_completed * Changed some class variable to benefit from the EventDispatcher's properties: - :attr:`embedded_device_detection_completed` - :attr:`service_detection_completed` ''' logCategory = 'wan_device_client' embedded_device_detection_completed = Property(False) ''' To know whenever the embedded device detection has completed. Defaults to `False` and it will be set automatically to `True` by the class method :meth:`embedded_device_notified`. ''' service_detection_completed = Property(False) ''' To know whenever the service detection has completed. Defaults to `False` and it will be set automatically to `True` by the class method :meth:`service_notified`. ''' def __init__(self, device): log.LogAble.__init__(self) EventDispatcher.__init__(self) self.register_event('embedded_device_client_detection_completed') self.device = device self.device.bind( embedded_device_client_detection_completed=self.embedded_device_notified, # noqa service_notified=self.service_notified, ) self.device_type = self.device.get_friendly_device_type() self.version = int(self.device.get_device_type_version()) self.icons = device.icons self.wan_connection_device = None self.wan_common_interface_connection = None try: wan_connection_device = self.device.get_embedded_device_by_type( 'WANConnectionDevice' )[0] self.wan_connection_device = WANConnectionDeviceClient( wan_connection_device ) except Exception as er: self.warning( f'Embedded WANConnectionDevice device not available, device ' + f'not implemented properly according to the UPnP ' + f'specification [ERROR: {er}]' ) raise for service in self.device.get_services(): if service.get_type() in [ 'urn:schemas-upnp-org:service:WANCommonInterfaceConfig:1' ]: self.wan_common_interface_connection = WANCommonInterfaceConfigClient( # noqa: E501 service ) self.info(f'WANDevice {device.get_friendly_name()}') def remove(self): self.info('removal of WANDeviceClient started') if self.wan_common_interface_connection is not None: self.wan_common_interface_connection.remove() if self.wan_connection_device is not None: self.wan_connection_device.remove() def embedded_device_notified(self, device): self.info(f'EmbeddedDevice {device} sent notification') if self.embedded_device_detection_completed: return self.embedded_device_detection_completed = True if ( self.embedded_device_detection_completed is True and self.service_detection_completed is True ): self.dispatch_event( 'embedded_device_client_detection_completed', self ) def service_notified(self, service): self.info(f'Service {service} sent notification') if self.service_detection_completed: return if self.wan_common_interface_connection is not None: if not hasattr( self.wan_common_interface_connection.service, 'last_time_updated', ): return if ( self.wan_common_interface_connection.service.last_time_updated is None ): return self.service_detection_completed = True if ( self.embedded_device_detection_completed is True and self.service_detection_completed is True ): self.dispatch_event( 'embedded_device_client_detection_completed', self )
# # spcam_dr.py -- Suprime-Cam data processing routines # # Eric Jeschke (eric@naoj.org) # # This is open-source software licensed under a BSD license. # Please see the file LICENSE.txt for details. # import os import re, glob import time # 3rd party imports import numpy from ginga import AstroImage from ginga.misc import Bunch, log from ginga.util import dp from ginga.util import mosaic, wcs # local package imports from ..frame import Frame class SuprimeCamDR(object): def __init__(self, logger=None): super(SuprimeCamDR, self).__init__() if logger is None: logger = log.get_logger(level=20, log_stderr=True) self.logger = logger self.pfx = 'S' self.num_ccds = 10 self.num_frames = 10 self.inscode = 'SUP' self.fov = 0.72 self.frameid_offsets = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] # SPCAM keywords that should be added to the primary HDU self.prihdr_kwds = [ 'SIMPLE', 'BITPIX', 'NAXIS', 'NAXIS1', 'NAXIS2', 'EXTEND', 'BZERO', 'BSCALE', 'BUNIT', 'BLANK', 'DATE-OBS', 'UT', 'UT-STR', 'UT-END', 'HST', 'HST-STR', 'HST-END', 'LST', 'LST-STR', 'LST-END', 'MJD', 'TIMESYS', 'MJD-STR', 'MJD-END', 'ZD-STR', 'ZD-END', 'SECZ-STR', 'SECZ-END', 'AIRMASS', 'AZIMUTH', 'ALTITUDE', 'PROP-ID', 'OBSERVER', 'EXP-ID', 'DATASET', 'OBS-MOD', 'OBS-ALOC', 'DATA-TYP', 'OBJECT', 'RA', 'DEC', 'RA2000', 'DEC2000', 'OBSERVAT', 'TELESCOP', 'FOC-POS', 'TELFOCUS', 'FOC-VAL', 'FILTER01', 'EXPTIME', 'INSTRUME', 'INS-VER', 'WEATHER', 'SEEING', 'ADC-TYPE', 'ADC-STR', 'ADC-END', 'INR-STR', 'INR-END', 'DOM-WND', 'OUT-WND', 'DOM-TMP', 'OUT-TMP', 'DOM-HUM', 'OUT-HUM', 'DOM-PRS', 'OUT-PRS', 'EXP1TIME', 'COADD', 'M2-POS1', 'M2-POS2', 'M2-POS3', 'M2-ANG1', 'M2-ANG2', 'M2-ANG3', 'AUTOGUID', 'COMMENT', 'INST-PA', 'EQUINOX', ] # SPCAM keywords that should be added to the image HDUs self.imghdr_kwds = [ 'SIMPLE', 'BITPIX', 'NAXIS', 'NAXIS1', 'NAXIS2', 'EXTEND', 'BZERO', 'BSCALE', 'BUNIT', 'BLANK', 'FRAMEID', 'EXP-ID', 'DETECTOR', 'DET-ID', 'DET-A01', 'DET-P101', 'DET-P201', 'DET-TMP', 'DET-TMED', 'DET-TMIN', 'DET-TMAX', 'GAIN', 'EFP-MIN1', 'EFP-RNG1', 'EFP-MIN2', 'EFP-RNG2', 'PRD-MIN1', 'PRD-RNG1', 'PRD-MIN2', 'PRD-RNG2', 'BIN-FCT1', 'BIN-FCT2', 'DET-VER', 'S_UFNAME', 'S_FRMPOS', 'S_BCTAVE', 'S_BCTSD', 'S_AG-OBJ', 'S_AG-RA', 'S_AG-DEC', 'S_AG-EQN', 'S_AG-X', 'S_AG-Y', 'S_AG-R', 'S_AG-TH', 'S_ETMED', 'S_ETMAX', 'S_ETMIN', 'S_XFLIP', 'S_YFLIP', 'S_M2OFF1', 'S_M2OFF2', 'S_M2OFF3', 'S_DELTAZ', 'S_DELTAD', 'S_SENT', 'S_GAIN1', 'S_GAIN2', 'S_GAIN3', 'S_GAIN4', 'S_OSMN11', 'S_OSMX11', 'S_OSMN21', 'S_OSMX21', 'S_OSMN31', 'S_OSMX31', 'S_OSMN41', 'S_OSMX41', 'S_OSMN12', 'S_OSMX12', 'S_OSMN22', 'S_OSMX22', 'S_OSMN32', 'S_OSMX32', 'S_OSMN42', 'S_OSMX42', 'S_EFMN11', 'S_EFMX11', 'S_EFMN21', 'S_EFMX21', 'S_EFMN31', 'S_EFMX31', 'S_EFMN41', 'S_EFMX41', 'S_EFMN12', 'S_EFMX12', 'S_EFMN22', 'S_EFMX22', 'S_EFMN32', 'S_EFMX32', 'S_EFMN42', 'S_EFMX42', 'EQUINOX', 'CRVAL1', 'CRVAL2', 'CRPIX1', 'CRPIX2', 'CDELT1', 'CDELT2', 'LONGPOLE', 'CTYPE1', 'CTYPE2', 'CUNIT1', 'CUNIT2', 'WCS-ORIG', 'RADECSYS', 'CD1_1', 'CD1_2', 'CD2_1', 'CD2_2', ] def load_image(self, filepath): image = AstroImage.AstroImage(logger=self.logger) image.load_file(filepath) return image def get_exp_num(self, frameid): frame = Frame(frameid) exp_num = (frame.count // self.num_frames) * self.num_frames return exp_num def exp_num_to_frame_list(self, exp_num): frame = Frame() frame.inscode = self.inscode frame.frametype = 'A' frame.prefix = '0' frame.number = 0 frame.add(exp_num) res = [] for off in self.frameid_offsets: fr = frame.copy() fr.add(off) res.append(str(fr)) return res def exp_num_to_file_list(self, directory, exp_num): frame = Frame() frame.directory = directory frame.inscode = self.inscode frame.frametype = 'A' frame.prefix = '0' frame.number = 0 frame.add(exp_num) res = [] for off in self.frameid_offsets: fr = frame.copy() fr.add(off) res.append(os.path.join(directory, str(fr)+'.fits')) return res def get_file_list(self, path): frame = Frame(path) exp_num = self.get_exp_num(path) frame.prefix = '0' frame.number = 0 frame.add(exp_num) res = [] for off in self.frameid_offsets: fr = frame.copy() fr.add(off) res.append(os.path.join(frame.directory, str(fr)+'.fits')) return res def get_images(self, path): filelist = self.get_file_list(path) res = [] for path in filelist: img = AstroImage.AstroImage(logger=self.logger) img.load_file(path) res.append(img) return res def get_regions(self, image): """Extract the keywords defining the overscan and effective pixel regions in a SPCAM image. The data is returned in a dictionary of bunches. The keys of the dictionary are the channel numbers, plus 'image'. """ wd, ht = image.get_size() d = {} xcut = 0 newwd = 0 l = [] for channel in (1, 2, 3, 4): base = self.pfx + '_EF' efminx = int(image.get_keyword("%sMN%d1" % (base, channel))) - 1 efmaxx = int(image.get_keyword("%sMX%d1" % (base, channel))) - 1 efminy = int(image.get_keyword("%sMN%d2" % (base, channel))) - 1 efmaxy = int(image.get_keyword("%sMX%d2" % (base, channel))) - 1 base = self.pfx + '_OS' osminx = int(image.get_keyword("%sMN%d1" % (base, channel))) - 1 osmaxx = int(image.get_keyword("%sMX%d1" % (base, channel))) - 1 osminy = int(image.get_keyword("%sMN%d2" % (base, channel))) - 1 osmaxy = int(image.get_keyword("%sMX%d2" % (base, channel))) - 1 xcut += osmaxx - osminx + 1 newwd += efmaxx + 1 - efminx gain = float(image.get_keyword("%s_GAIN%d" % (self.pfx, channel))) d[channel] = Bunch.Bunch( efminx=efminx, efmaxx=efmaxx, efminy=efminy, efmaxy=efmaxy, osminx=osminx, osmaxx=osmaxx, osminy=osminy, osmaxy=osmaxy, gain=gain) l.append(d[channel]) # figure out starting x position of channel within image l.sort(key=lambda x: x.efmaxx) startposx = 0 for ch in l: ch.setvals(startposx=startposx) startposx += ch.efmaxx + 1 - ch.efminx ycut = osmaxy - osminy + 1 newht = efmaxy + 1 - efminy d['image'] = Bunch.Bunch(xcut=xcut, ycut=ycut, newwd=newwd, newht=newht) return d def subtract_overscan_np(self, data_np, d, sub_bias=True, header=None): """Subtract the median bias calculated from the overscan regions from a SPCAM image data array. The resulting image is trimmed to remove the overscan regions. Parameters ---------- data_np: numpy array a 2D data array of pixel values d: dict a dictionary of information about the overscan and effective pixel regions as returned by get_regions(). Returns: out: numpy array a new, smaller array with the result data """ # create new output array the size of the sum of the image # effective pixels info = d['image'] newwd, newht = info.newwd, info.newht self.logger.debug("effective pixel size %dx%d" % (newwd, newht)) out = numpy.empty((newht, newwd), dtype=float) if header is not None: header['NAXIS1'] = newwd header['NAXIS2'] = newht # original image size ht, wd = data_np.shape[:2] for channel in (1, 2, 3, 4): #print "processing channel %d" % (channel) ch = d[channel] # calculate size of effective pixels area for this channel efwd = ch.efmaxx + 1 - ch.efminx efht = ch.efmaxy + 1 - ch.efminy j = ch.startposx # Cut effective pixel region into output array xlo, xhi, ylo, yhi = j, j + efwd, 0, efht if sub_bias: # get median of each row in overscan area for this channel ovsc_median = numpy.median(data_np[ch.efminy:ch.efmaxy+1, ch.osminx:ch.osmaxx+1], axis=1) len_ovsc = ovsc_median.shape[0] assert len_ovsc == efht, \ ValueError("median array len (%d) doesn't match effective pixel len (%d)" % ( len_ovsc, efht)) ovsc_median = ovsc_median.reshape((efht, 1)) ovsc_median = numpy.repeat(ovsc_median, efwd, axis=1) out[ylo:yhi, xlo:xhi] = data_np[ch.efminy:ch.efmaxy+1, ch.efminx:ch.efmaxx+1] - ovsc_median else: out[ylo:yhi, xlo:xhi] = data_np[ch.efminy:ch.efmaxy+1, ch.efminx:ch.efmaxx+1] # Update header for effective regions if header is not None: base = self.pfx + '_EF' header["%sMN%d1" % (base, channel)] = xlo + 1 header["%sMX%d1" % (base, channel)] = xhi + 1 header["%sMN%d2" % (base, channel)] = ylo + 1 header["%sMX%d2" % (base, channel)] = yhi + 1 return out def make_flat(self, flatlist, bias=None, flat_norm=None, logger=None): flats = [] self.logger.info("making a median flat from %s" % str(flatlist)) for path in flatlist: image = AstroImage.AstroImage(logger=logger) image.load_file(path) data_np = image.get_data() # TODO: subtract optional bias image # subtract overscan and trim d = self.get_regions(image) header = {} newarr = self.subtract_overscan_np(data_np, d, header=header) flats.append(newarr) # Take the median of the individual frames flat = numpy.median(numpy.array(flats), axis=0) #print flat.shape # Normalize flat, if normalization term provided if flat_norm is not None: flat = flat / flat_norm img_flat = dp.make_image(flat, image, header) return img_flat def make_flat_tiles(self, datadir, explist, output_pfx='flat', output_dir=None): # Get the median values for each CCD image flats = [] for i in range(self.num_frames): flatlist = [] for exp in explist: path = os.path.join(datadir, exp.upper()+'.fits') if not os.path.exists(path): continue frame = Frame(path=path) frame.number += i path = os.path.join(datadir, str(frame)+'.fits') if not os.path.exists(path): continue flatlist.append(path) if len(flatlist) > 0: flats.append(self.make_flat(flatlist)) # Normalize the flats # TODO: can we use a running median to speed this up without # losing much precision? # flatarr = numpy.array([ image.get_data() for image in flats ]) # mval = numpy.median(flatarr.flat) ## flatarr = numpy.array([ numpy.median(image.get_data()) ## for image in flats ]) ## mval = numpy.mean(flatarr) d = {} for image in flats: ## flat = image.get_data() ## flat /= mval ## # no zero divisors ## flat[flat == 0.0] = 1.0 ccd_id = int(image.get_keyword('DET-ID')) if output_dir is None: d[ccd_id] = image else: # write the output file name = '%s-%d.fits' % (output_pfx, ccd_id) outfile = os.path.join(output_dir, name) d[ccd_id] = outfile self.logger.debug("Writing output file: %s" % (outfile)) try: os.remove(outfile) except OSError: pass image.save_as_file(outfile) return d def get_flat_name(self, pfx, image): hdr = image.get_header() kwds = dict([ (kwd, hdr[kwd]) for kwd in ('OBJECT', 'FILTER01', 'DATE-OBS', 'UT-STR') ]) match = re.match(r'^(\d\d):(\d\d):(\d\d)\.\d+$', kwds['UT-STR']) ut = ''.join(match.groups()) match = re.match(r'^(\d\d\d\d)\-(\d+)\-(\d+)$', kwds['DATE-OBS']) date = ''.join(match.groups()) fname = '%s-flat-%s-%s-%s-%s.fits' % (pfx, date, ut, kwds['OBJECT'], kwds['FILTER01']) return fname, kwds def make_flat_tiles_exp(self, datadir, expstart, num_exp, output_pfx='flat', output_dir=None): path = os.path.join(datadir, expstart.upper()+'.fits') # make a list of all the exposure ids explist = [] for i in range(num_exp): frame = Frame(path=path) frame.number += i * self.num_frames explist.append(str(frame)) d = self.make_flat_tiles(datadir, explist, output_pfx=output_pfx, output_dir=output_dir) return d def load_flat_tiles(self, datadir): path_glob = os.path.join(datadir, '*-*.fits') d = {} avgs = [] for path in glob.glob(path_glob): match = re.match(r'^.+\-(\d+)\.fits$', path) if match: ccd_id = int(match.group(1)) image = self.load_image(path) #image = AstroImage.AstroImage(logger=self.logger) #image.load_file(path) data = image.get_data() d[ccd_id] = data avgs.append(numpy.mean(data)) self.logger.info("calculating mean of flats") flatarr = numpy.array(avgs) mval = numpy.mean(flatarr) return mval, d def make_exp_tiles(self, path_exp, flat_dict={}, flat_mean=None, output_pfx='exp', output_dir=None): files = self.get_file_list(path_exp) res = {} for path in files: if not os.path.exists(path): continue image = self.load_image(path) #image = AstroImage.AstroImage(logger=self.logger) #image.load_file(path) ccd_id = int(image.get_keyword('DET-ID')) data_np = image.get_data() # subtract overscan and trim d = self.get_regions(image) header = {} newarr = self.subtract_overscan_np(data_np, d, header=header) if ccd_id in flat_dict: flat = flat_dict[ccd_id] if newarr.shape == flat.shape: if flat_mean is not None: avg = flat_mean else: avg = numpy.mean(flat) newarr /= flat newarr *= avg img_exp = dp.make_image(newarr, image, header) if output_dir is None: res[ccd_id] = img_exp else: # write the output file name = '%s-%d.fits' % (output_pfx, ccd_id) outfile = os.path.join(output_dir, name) res[ccd_id] = outfile self.logger.debug("Writing output file: %s" % (outfile)) try: os.remove(outfile) except OSError: pass img_exp.save_as_file(outfile) return res def prepare_mosaic(self, image, fov_deg, skew_limit=0.1): """Prepare a new (blank) mosaic image based on the pointing of the parameter image """ header = image.get_header() ra_deg, dec_deg = header['CRVAL1'], header['CRVAL2'] data_np = image.get_data() (rot_deg, cdelt1, cdelt2) = wcs.get_rotation_and_scale(header, skew_threshold=skew_limit) self.logger.debug("image0 rot=%f cdelt1=%f cdelt2=%f" % ( rot_deg, cdelt1, cdelt2)) # TODO: handle differing pixel scale for each axis? px_scale = numpy.fabs(cdelt1) cdbase = [numpy.sign(cdelt1), numpy.sign(cdelt2)] #cdbase = [1, 1] img_mosaic = dp.create_blank_image(ra_deg, dec_deg, fov_deg, px_scale, rot_deg, cdbase=cdbase, logger=self.logger, pfx='mosaic') # TODO: fill in interesting/select object headers from seed image return img_mosaic def remove_overscan(self, img, sub_bias=True): d = self.get_regions(img) header = {} new_data_np = self.subtract_overscan_np(img.get_data(), d, sub_bias=sub_bias, header=header) img.set_data(new_data_np) img.update_keywords(header) def make_quick_mosaic(self, path): # get the list of files making up this exposure files = self.get_file_list(path) img = AstroImage.AstroImage(logger=self.logger) img.load_file(files[0]) img_mosaic = self.prepare_mosaic(img, self.fov) self.remove_overscan(img) img_mosaic.mosaic_inline([img]) time_start = time.time() t1_sum = 0.0 t2_sum = 0.0 t3_sum = 0.0 for filen in files[1:]: time_t1 = time.time() img = AstroImage.AstroImage(logger=self.logger) img.load_file(filen) time_t2 = time.time() t1_sum += time_t2 - time_t1 self.remove_overscan(img) time_t3 = time.time() t2_sum += time_t3 - time_t2 img_mosaic.mosaic_inline([img], merge=True, allow_expand=False, update_minmax=False) time_t4 = time.time() t3_sum += time_t4 - time_t3 time_end = time.time() time_total = time_end - time_start print ("total time: %.2f t1=%.3f t2=%.3f t3=%.3f" % ( time_total, t1_sum, t2_sum, t3_sum)) return img_mosaic def make_multi_hdu(self, images, compress=False): """ Pack a group of separate FITS files (a single exposure) into one FITS file with one primary HDU with no data and 10 image HDUs. Parameters ---------- images : list of AstroImage objects compress : bool (optional) if True, will try to Rice-compress the image HDUs. Note that this slows down the process considerably. Default: False """ import astropy.io.fits as pyfits fitsobj = pyfits.HDUList() i = 0 hdus = {} for image in images: header = image.get_header() if i == 0: # prepare primary HDU header hdu = pyfits.PrimaryHDU() prihdr = hdu.header for kwd in header.keys(): if kwd.upper() in self.prihdr_kwds: card = header.get_card(kwd) val, comment = card.value, card.comment prihdr[kwd] = (val, comment) fitsobj.append(hdu) # create each image HDU data = numpy.copy(image.get_data().astype(numpy.uint16)) name = "DET-%s" % header['DET-ID'] if not compress: hdu = pyfits.ImageHDU(data=data) else: hdu = pyfits.CompImageHDU(data=data, compression_type='RICE_1', name=name) for kwd in header.keys(): if kwd.upper() in self.imghdr_kwds: card = header.get_card(kwd) val, comment = card.value, card.comment hdu.header[kwd] = (val, comment) # add CHECKSUM and DATASUM keywords if not compress: hdu.add_checksum() det_id = int(header['DET-ID']) hdus[det_id] = hdu i += 1 # stack HDUs in detector ID order det_ids = list(hdus.keys()) det_ids.sort() for i in det_ids: fitsobj.append(hdus[i]) # fix up to FITS standard as much as possible fitsobj.verify('silentfix') return fitsobj def step2(self, image): """ Corresponds to step 2 in the SPCAM data reduction instructions. Takes an image and removes the overscan regions. In the process it also subtracts the bias median calculated from the overscan regions. """ d = self.get_regions(image) header = {} data_np = image.get_data() result = self.subtract_overscan_np(data_np, d, header=header) newimage = dp.make_image(result, image, header) return newimage def step3(self, image, flat): """ Corresponds to step 3 in the SPCAM data reduction instructions. Divides an image by a flat and returns a new image. """ data_np = image.get_data() flat_np = flat.get_data() result = data_np / flat_np newimage = dp.make_image(result, image, {}) return newimage #END
#!/usr/bin/env python """ Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ import Queue import logging import multiprocessing import os import pprint import threading import time import signal from ambari_agent.RemoteDebugUtils import bind_debug_signal_handlers logger = logging.getLogger(__name__) class StatusCommandsExecutor(object): def put_commands(self, commands): raise NotImplemented() def process_results(self): raise NotImplemented() def relaunch(self, reason=None): raise NotImplemented() def kill(self, reason=None, can_relaunch=True): raise NotImplemented() class SingleProcessStatusCommandsExecutor(StatusCommandsExecutor): def __init__(self, config, actionQueue): self.config = config self.actionQueue = actionQueue self.statusCommandQueue = Queue.Queue() self.need_relaunch = (False, None) # tuple (bool, str|None) with flag to relaunch and reason of relaunch def put_commands(self, commands): with self.statusCommandQueue.mutex: qlen = len(self.statusCommandQueue.queue) if qlen: logger.info("Removing %s stale status commands from queue", qlen) self.statusCommandQueue.queue.clear() for command in commands: logger.info("Adding " + command['commandType'] + " for component " + \ command['componentName'] + " of service " + \ command['serviceName'] + " of cluster " + \ command['clusterName'] + " to the queue.") self.statusCommandQueue.put(command) logger.debug(pprint.pformat(command)) def process_results(self): """ Execute a single command from the queue and process it """ while not self.statusCommandQueue.empty(): try: command = self.statusCommandQueue.get(False) self.actionQueue.process_status_command_result(self.actionQueue.execute_status_command_and_security_status(command)) except Queue.Empty: pass def relaunch(self, reason=None): pass def kill(self, reason=None, can_relaunch=True): pass # TODO make reliable MultiProcessStatusCommandsExecutor implementation MultiProcessStatusCommandsExecutor = SingleProcessStatusCommandsExecutor
#!/usr/bin/python import pygame, sys from pygame.locals import * #defining colors RED = pygame.Color(255, 0, 0, 10) GREEN = pygame.Color(0, 255, 0, 10) BLUE = pygame.Color(0, 0, 255, 10) WHITE = [] #defining an array of greyscales for i in range(256): WHITE.append(pygame.Color(i, i, i, i)) #defining window size WINDOWWIDTH = 640 WINDOWHEIGHT = 480 #checking window dimensions assert WINDOWWIDTH < 641 and WINDOWHEIGHT < 481, 'YOU\'LL NEED MORE PAPER FOR THIS WALL' assert WINDOWWIDTH * 3 == WINDOWHEIGHT * 4, 'THE SCREEN\'S A BIT ASCREW' #defining window margins MARGIN = WINDOWHEIGHT * WINDOWWIDTH // 20480 TOPMARGIN = 5 * MARGIN BOTTOMMARGIN = MARGIN #defining symbolic constants LEFT = -1 CENTER = 0 RIGHT = 1 #defining game parameters LENGTH = 50 BEGINTIME = (WINDOWHEIGHT - TOPMARGIN - BOTTOMMARGIN) * 3 BONUS = 10 #defining game play parameters FPS = 100 SPEED = WINDOWHEIGHT // (2 * FPS) #defining in-game messages LAW = ('TOUGH LUCK', '', 'NOT BAD', 'BETTER', 'BRILLIANT', 'TAKE A BOW') INLAW = ('THE RULES ARE SIMPLE, THE GAME IS NOT', 'FOR THOSE WHO PLEASURE SOUGHT :', 'USE THE KEYS, LEFT AND RIGHT,', 'TO ALLEVIATE YOUR POOR PLIGHT.', 'YOU MUST \'MEMBER TO WATCH YOUR HEALTH', 'AS YOU SET ABOUT TO MIND YOUR WEALTH.', 'ENTER SPACES, NOW AND THEN,', 'TO DOUBLE YOUR BALLS, THEN AGAIN :', 'TOO MUCH, TOO LITTLE. BE A MAN', 'AND SCORE, IF YOU CAN.') OUTLAW = ('BUT ONLY THOSE FEW, TRULY BRAVE,', 'AND FEWER STILL, WHO GREATNESS CRAVE,', 'WOULD RETURN TO THE GAME', 'AND NOT ESCAPE, ALL THE SAME.') LAWYER = ('SCORE : http://www.bensound.com/royalty-free-music/track/jazzy-frenchy', 'SOUNDS : http://www.pacdv.com/sounds/mechanical_sound_effects/ cling_1.wav, cling_2.wav', 'BACKGROUND : http://www.hdwalls.info/wallpapers/2013/05/black-background-fabric-ii--480x640.jpg', '', 'CODE : AMITRAJIT SARKAR : aaiijmrtt@gmail.com') def main(): global SCREEN, SURFACE, BACKGROUND, LARGEFONT, FONT, SMALLFONT, TIMER, BALL, PADDLE, SOUNDBALLS, SOUNDPADDLE, BEST #initiazling pygame module pygame.init() TIMER = pygame.time.Clock() SCREEN = pygame.display.set_mode((WINDOWWIDTH,WINDOWHEIGHT)) SURFACE = pygame.Surface.convert_alpha(SCREEN) BACKGROUND = pygame.image.load('background.jpg').convert() LARGEFONT = pygame.font.Font('freesansbold.ttf', MARGIN * 8 // 5) FONT = pygame.font.Font('freesansbold.ttf', MARGIN) SMALLFONT = pygame.font.Font('freesansbold.ttf', MARGIN * 4 // 5) SOUNDBALLS = pygame.mixer.Sound('ball.wav') SOUNDPADDLE = pygame.mixer.Sound('paddle.wav') BEST = 0 pygame.display.set_caption('BALLS') pygame.mixer.music.load('score.mp3') pygame.mixer.music.play(-1, 0) #initializing pregame parameters and displaying pregame messages pregame() begin() #main game loop while True: #initializing game parameters initialize() while len(BALLS) > 0 and TIME > 0 and PADDLE [3] > 0: #checking game events check() #updating game state update() #rendering updated state paint() TIMER.tick(FPS) #updating highscore if SCORE > BEST: BEST = SCORE #checking for game overs if end(): exit() #function to initialize game parameters def initialize(): global BALLS, PADDLE, TIME, SCORE, COUNT, PAUSE BALLS = [[MARGIN, TOPMARGIN, SPEED, SPEED]] PADDLE = [WINDOWWIDTH // 2, WINDOWHEIGHT - 2 * BOTTOMMARGIN, 0, LENGTH] TIME = BEGINTIME SCORE = 0 COUNT = 1 PAUSE = False #function to display messages on screen def messages(text, font, color, leftness, upness, position): textsurf = font.render(text, True, color) textrect = textsurf.get_rect() if position == CENTER: textrect.midtop = (leftness, upness) elif position == LEFT: textrect.topleft = (leftness, upness) elif position == RIGHT: textrect.topright = (leftness, upness) SURFACE.blit(textsurf, textrect) return textrect.left #function to pause def wait(proceed): while True: for event in pygame.event.get(): if event.type == QUIT or (event.type == KEYUP and event.key == K_ESCAPE): exit() elif event.type == KEYUP or event.type == MOUSEBUTTONUP: return proceed #function to display startup screen def pregame(): SURFACE.blit(BACKGROUND, BACKGROUND.get_rect()) messages('BALLS', LARGEFONT, BLUE, WINDOWWIDTH // 2, WINDOWHEIGHT // 2 - 5 * MARGIN, CENTER) messages('PRESS SOMETHING', SMALLFONT, GREEN, WINDOWWIDTH // 2, WINDOWHEIGHT // 2 + 5 * MARGIN, CENTER) messages('CLICK ANYTHING', SMALLFONT, GREEN, WINDOWWIDTH // 2, WINDOWHEIGHT // 2 + 7 * MARGIN, CENTER) SCREEN.blit(SURFACE, SURFACE.get_rect()) pygame.display.update() wait(True) #function to display pregame messages def begin(): SURFACE.blit(BACKGROUND, BACKGROUND.get_rect()) for i in range(10): messages(INLAW[i], FONT, BLUE, WINDOWWIDTH // 2, WINDOWHEIGHT // 2 + ( 2 * i - 9 ) * MARGIN, CENTER) SCREEN.blit(SURFACE, SURFACE.get_rect()) pygame.display.update() wait(True) #function to update game state def update(): global BALLS, PADDLE, TIME, SCORE, COUNT COUNT = len(BALLS) TIME -= COUNT PADDLE[3] = 2 * (LENGTH - TIME // 50) for ball in BALLS: lost = False if ball[0] < MARGIN and ball[2] < 0: ball[2] = SPEED * COUNT elif ball[0] > WINDOWWIDTH - MARGIN and ball[2] > 0: ball[2] = - SPEED * COUNT if ball[1] < TOPMARGIN and ball[3] < 0: ball[3] = SPEED * COUNT elif ball[1] > PADDLE[1] and ball[3] > 0: if ball[0] < PADDLE[0] + PADDLE[3] // 2 and ball[0] + PADDLE[3] // 2 > PADDLE[0]: ball[3] = -SPEED * COUNT TIME *= 2 SCORE += BONUS * COUNT SOUNDPADDLE.play() else: lost = True ball[0] += ball[2] ball[1] += ball[3] if lost: BALLS.remove(ball) if PADDLE[0] < MARGIN + PADDLE[3] // 2: PADDLE[0] = MARGIN + PADDLE[3] // 2 if PADDLE[2] < 0: PADDLE[2] = 0 elif PADDLE[0] > WINDOWWIDTH - MARGIN - PADDLE[3] // 2: PADDLE[0] = WINDOWWIDTH - MARGIN - PADDLE[3] // 2 if PADDLE[2] > 0: PADDLE[2] = 0 PADDLE[0] += PADDLE[2] #function to check for game events def check(): global BALLS, PADDLE, SCORE events = pygame.event.get() for event in events: if event.type == QUIT or (event.type == KEYUP and event.key == K_ESCAPE): exit() elif event.type == KEYUP and event.key == K_RETURN: wait(True) elif (event.type == KEYDOWN and event.key == K_LEFT) or pygame.key.get_pressed()[K_LEFT]: if PADDLE[2] < 0 : PADDLE[2] -= 3 * SPEED else: PADDLE[2] = -3 * SPEED elif (event.type == KEYDOWN and event.key == K_RIGHT) or pygame.key.get_pressed()[K_RIGHT]: if PADDLE[2] > 0: PADDLE[2] += 3 * SPEED else: PADDLE[2] = 3 * SPEED elif event.type == KEYUP and (event.key == K_LEFT or event.key == K_RIGHT): PADDLE[2] = 0 elif (event.type == KEYUP and event.key == K_SPACE) or event.type == MOUSEBUTTONUP: newballs = [] for ball in BALLS: newballs.append([ball[0], ball[1], -ball[2], -ball[3]]) BALLS.extend(newballs) SCORE += BONUS * COUNT SOUNDBALLS.play() elif event.type == MOUSEMOTION: mousex, mousey = pygame.mouse.get_pos() PADDLE[0] = mousex #function to render game screen def paint(): SURFACE.blit(BACKGROUND, BACKGROUND.get_rect()) messages('BEST: ' + str(BEST), FONT, BLUE, MARGIN, TOPMARGIN - 4 * MARGIN, LEFT) messages('SCORE: ' + str(SCORE), FONT, BLUE, MARGIN, TOPMARGIN - 2 * MARGIN, LEFT) leftwealth = messages('WEALTH', FONT, RED, WINDOWWIDTH - MARGIN, TOPMARGIN - 4 * MARGIN, RIGHT) lefthealth = messages('HEALTH', FONT, GREEN, WINDOWWIDTH - MARGIN, TOPMARGIN - 2 * MARGIN, RIGHT) pygame.draw.rect(SURFACE, RED, pygame.Rect(leftwealth - MARGIN - WINDOWWIDTH * TIME // 6000, TOPMARGIN - 4 * MARGIN, max(WINDOWWIDTH * TIME // 6000, 0), MARGIN // 2), 0) pygame.draw.rect(SURFACE, GREEN, pygame.Rect(lefthealth - MARGIN - WINDOWWIDTH * PADDLE [3] // 200, TOPMARGIN - 2 * MARGIN, max(WINDOWWIDTH * PADDLE [3] // 200, 0) , MARGIN // 2), 0) if (SCORE // 100) % 2 == 1 and len(BALLS) > 0: pygame.draw.rect(SURFACE, WHITE[255 * BALLS [0][1] // WINDOWHEIGHT], pygame.Rect(PADDLE[0] - PADDLE[3] // 2, PADDLE[1], PADDLE[3], BOTTOMMARGIN // 2 ), 0) else: pygame.draw.rect(SURFACE, WHITE[255], pygame.Rect(PADDLE[0] - PADDLE[3] // 2, PADDLE[1], PADDLE[3], BOTTOMMARGIN // 2), 0) for ball in BALLS: if (SCORE // 100) % 2 == 1 and len(BALLS) > 0: pygame.draw.circle(SURFACE, WHITE[255 * BALLS[0][1] // WINDOWHEIGHT], (ball[0], ball[1]), MARGIN // 3, 0) else: pygame.draw.circle(SURFACE, WHITE[255], (ball[0], ball[1]), MARGIN // 3, 0) SCREEN.blit(SURFACE, SURFACE.get_rect()) pygame.display.update() #function to display endgame messages def end(): pygame.time.wait(1000) SURFACE.blit(BACKGROUND, BACKGROUND.get_rect()) for i in range(5): if 10 ** i > SCORE: messages((str) (SCORE) + ' : ' + LAW[i], FONT, BLUE, WINDOWWIDTH // 2, WINDOWHEIGHT // 2 - 7 * MARGIN, CENTER) break else: messages((str) (SCORE) + ' : ' + LAW[5], FONT, BLUE, WINDOWWIDTH // 2, WINDOWHEIGHT // 2 - 7 * MARGIN, CENTER) for i in range(4): messages(OUTLAW[i], FONT, GREEN, WINDOWWIDTH // 2, WINDOWHEIGHT // 2 + (2 * i - 3) * MARGIN, CENTER) SCREEN.blit(SURFACE, SURFACE.get_rect()) pygame.display.update() wait(False) #function to display postgame messages def exit(): pygame.mixer.music.fadeout(2000) for j in range(2 * FPS): SURFACE.blit(BACKGROUND, BACKGROUND.get_rect()) for i in range(5): messages(LAWYER[i], SMALLFONT, WHITE[255 - abs(255 - j * 255 // FPS)], WINDOWWIDTH // 2, WINDOWHEIGHT // 2 + (2 * i - 4) * MARGIN, CENTER) SCREEN.blit(SURFACE, SURFACE.get_rect()) pygame.display.update() pygame.quit() sys.exit() if __name__ == '__main__': main ( )
import numpy as np from numpy import loadtxt from scipy import interpolate # #global polar #polar = np.load('polar.npy') # #def lift_coefficient(alpha): # if alpha < polar[-1,0]: # aoa = polar[:,0] # cl_polar = polar[:,1] # f = interpolate.interp1d(aoa[:], cl_polar[:], kind='linear') # cl = f(alpha) # else: # cl = polar[-1,1] # return cl
import math # need for infinity and Nan def gotoh(fasta_file_1, fasta_file_2, scores, is_dna=False, file_substitution_matrix=None): """Put your code here""" algo = Gotoh(file_substitution_matrix, scores, is_dna) alignment_score, alignments = algo.run(fasta_file_1, fasta_file_2) return alignment_score, alignments class Gotoh: def __init__(self, file_substitution_matrix, scores, use_dna): self.d_matrix = [[]] self.p_matrix = [[]] self.q_matrix = [[]] self.score_matrix = [] self.lookup = {} self.alpha = scores['alpha'] self.beta = scores['beta'] self.use_dna = use_dna if not self.use_dna: self.set_up_substitution_matrix(file_substitution_matrix) # counters for traceback over 3 matrices self.i = 0 self.j = 0 self.computedAlignment = [] self.paths = [()] self.all_traces = [[]] # Track the actions diag, left up form pQD to be returned def run(self, fasta_file_1, fasta_file_2): """Put your code here""" # seq1 = self.read_fasta_file(fasta_file_1) # seq2 = self.read_fasta_file(fasta_file_2) seq1 = 'CG' seq2 = 'CCGA' self.p_matrix = self.init_matrix_p(seq1, seq2) self.q_matrix = self.init_matrix_q(seq1, seq2) self.d_matrix = self.init_matrix_d(seq1, seq2, self.alpha, self.beta) self.complete_d_p_q_computation(seq1, seq2, self.alpha, self.beta) # correct matrices computed # error in traceback for splitting trace_list = self.compute_all_tracebacks(seq1, seq2, self.d_matrix, self.p_matrix, self.q_matrix, self.alpha, self.beta) all_align = [] for path in trace_list: newal = self.alignment(path, seq1, seq2) all_align.append(newal) return all_align # alignment_score, alignments def read_fasta_file(self, fasta_file): """Implement reading the fasta file Args: fasta_file: file loctaion of sequence Returns: sequence """ for line in open(fasta_file): li = line.strip() if not li.startswith(">"): return line.rstrip() # sequence def set_up_substitution_matrix(self, file_substitution_matrix): """ Args: file_substitution_matrix: location of lookup Returns: score matrix and lookup """ scores = [] for line in open(file_substitution_matrix): li = line.strip() if not li.startswith("#"): scores.append(line.rstrip().split()) del scores[0] # remove the first row of letters for row in scores: # remove letter from each column del row[0] lookup = {"A": 0, "R": 1, "N": 2, "D": 3, "C": 4, "Q": 5, "E": 6, "G": 7, "H": 8, "I": 9, "L": 10, "K": 11, "M": 12, "F": 13, "P": 14, "S": 15, "T": 16, "W": 17, "Y": 18, "V": 19} return scores, lookup # get score def read_substitution_matrix(self, char1, char2): """ Implement reading the scores file. It can be stored as a dictionary of example: scores[("A", "R")] = -1 Args: char1: character from seq1 char2: character from seq1 Returns: score based on the lookup """ if char1 in self.lookup and char2 in self.lookup: return self.score_matrix[self.lookup[char1]][self.lookup[char2]] else: return -8 def dna_match_mismatch(self, char1, char2): """ Args: char1: character from seq1 char2: character from seq1 Returns: score based on the match/mismatch """ if char1 == char2: return SCORES_DNA['match'] elif char1 != char2: return SCORES_DNA['mismatch'] def get_score(self, d, char1, char2): if self.use_dna: return d + self.dna_match_mismatch(char1, char2) else: return d + self.read_substitution_matrix(char1, char2) def affine_gap(self, i): return self.alpha + i * self.beta # SCORES_DNA["alpha"] + SCORES_DNA["beta"]*i # g(k) = -3 - k def init_matrix_d(self, seq_1, seq_2, cost_gap_open, cost_gap_extend): """ Implement initialization of the matrix D Args: seq_1: first sequence seq_2: second sequence cost_gap_open: cost_gap_extend: """ n = len(seq_1) + 1 m = len(seq_2) + 1 matrix_d = [[0 for i in range(m)] for j in range(n)] # add values open + i * extend for i in range(1, n): matrix_d[i][0] = self.affine_gap(i) for j in range(1, m): matrix_d[0][j] = self.affine_gap(j) return matrix_d def init_matrix_p(self, seq_1, seq_2): """ Implement initialization of the matrix P Args: seq_1: first sequence seq_2: second sequence Returns: initialised P matrix """ n = len(seq_1) + 1 m = len(seq_2) + 1 matrix_p = [[0 for i in range(m)] for j in range(n)] for i in range(1, n): matrix_p[i][0] = math.nan for j in range(1, m): matrix_p[0][j] = -math.inf matrix_p[0][0] = 'X' return matrix_p def init_matrix_q(self, seq_1, seq_2): """ Implement initialization of the matrix Q Args: seq_1: first sequence seq_2: second sequence Returns: initialised P matrix """ n = len(seq_1) + 1 m = len(seq_2) + 1 matrix_q = [[0 for i in range(m)] for j in range(n)] for i in range(1, n): matrix_q[i][0] = -math.inf for j in range(1, m): matrix_q[0][j] = math.nan matrix_q[0][0] = 'X' return matrix_q def calculate_p(self, value_d, value_p): return max(value_d + self.affine_gap(1), value_p + self.beta) def calculate_q(self, value_d, value_q): return max(value_d + self.affine_gap(1), value_q + self.beta) def calculate_d(self, value_d, value_p, value_q, char1, char2): new_d = self.get_score(value_d, char1, char2) return max(value_p, max(value_q, new_d)) def complete_d_p_q_computation(self, seq_1, seq_2, cost_gap_open, cost_gap_extend, substitutions=None): """ Implement the recursive computation of matrices D, P and Q """ n = len(seq_1) + 1 m = len(seq_2) + 1 for i in range(1, n): for j in range(1, m): self.p_matrix[i][j] = self.calculate_p(self.d_matrix[i - 1][j], self.p_matrix[i - 1][j]) self.q_matrix[i][j] = self.calculate_q(self.d_matrix[i][j - 1], self.q_matrix[i][j - 1]) self.d_matrix[i][j] = self.calculate_d(self.d_matrix[i - 1][j - 1], self.p_matrix[i][j], self.q_matrix[i][j], seq_1[i - 1], seq_2[j - 1]) self.visualize_matrix(self.p_matrix) self.visualize_matrix(self.q_matrix) self.visualize_matrix(self.d_matrix) """ You are working with 3 matrices simultaneously. You can store your path as a list of cells. A cell can be a tuple: coordinates, matrix_name. And coordinates is a tuple of indexex i, j. Cell example: ((0, 2), "d") Path example: [((2, 4), 'd'), ((2, 4), 'q'), ((2, 3), 'q'), ((2, 2), 'd'), ((1, 1), 'd'), ((0, 0), 'd')] """ def compute_all_tracebacks(self, seq1, seq2, d_matrix, p_matrix, q_matrix, cost_gap_open, cost_gap_extend, substitution=None): """ Implement a search for all possible paths from the bottom right corner to the top left. Implement 'find_all_previous' and check_complete first. """ # TODO: # using structure [((row,column),"matrix")] for traceback self.i = len(d_matrix) - 1 self.j = len(d_matrix[0]) - 1 self.trace_ctr = 0 # for copys path self.paths[self.trace_ctr] = [self.i, self.j, 'D'] # track what matrix and row/col for matrix traversal self.all_traces = [[]] # Track the actions diag, left up form pQD to be returned traced = False while not traced: while self.i > 0 or self.j > 0: if self.paths[self.trace_ctr][2] == 'D': # check on main matrix self.trace_d(seq1[self.i - 1], seq2[self.j - 1]) elif self.paths[self.trace_ctr][2] == 'P': self.trace_p() elif self.paths[self.trace_ctr][2] == 'Q': self.trace_q() self.i, self.j = self.paths[self.trace_ctr][0], self.paths[self.trace_ctr][1] traced = True # trace from p/q matrix, handle splits for i in range(0, len(self.paths)): if self.paths[i][0] > 0 or self.paths[i][1] > 0: self.trace_ctr = i traced = False break self.i, self.j = self.paths[self.trace_ctr][0], self.paths[self.trace_ctr][1] return self.all_traces # all_paths def trace_d(self, char1, char2): # var to track i, j local local_i = self.i local_j = self.j split = False if self.j > 0 and self.i > 0: if self.d_matrix[self.i][self.j] == \ self.d_matrix[self.i - 1][self.j - 1] + self.dna_match_mismatch(char1, char2): self.all_traces[self.trace_ctr].append('diag_D') local_i -= 1 local_j -= 1 split = True if self.d_matrix[self.i][self.j] == self.p_matrix[self.i][self.j]: # another way if split: self.all_traces.append(self.all_traces[self.trace_ctr][0:-1]) self.all_traces[len(self.all_traces) - 1].append('go_to_P') self.paths.append([self.i, self.j, 'P']) else: self.all_traces[self.trace_ctr].append('go_to_P') self.paths[self.trace_ctr][2] = 'P' if self.d_matrix[self.i][self.j] == self.q_matrix[self.i][self.j]: # possible other way if split: self.all_traces.append(self.all_traces[self.trace_ctr][0:-1]) self.all_traces[len(self.all_traces) - 1].append('go_to_Q') self.paths.append([self.i, self.j, 'Q']) else: self.all_traces[self.trace_ctr].append('go_to_Q') self.paths[self.trace_ctr][2] = 'Q' split = True if self.i == 0: self.all_traces[self.trace_ctr].append('left_D') local_j -= 1 if self.j == 0: self.all_traces[self.trace_ctr].append('up_D') local_i -= 1 # reset if self.i <= 0 or local_i <= 0: local_i = 0 if self.j <= 0 or local_j <= 0: local_j = 0 # 'tuple' object does not support item assignment. use a list self.paths[self.trace_ctr][0] = local_i self.paths[self.trace_ctr][1] = local_j def trace_p(self): # var to track i, j local split = False if self.i > 0: if self.p_matrix[self.i][self.j] == self.d_matrix[self.i - 1][self.j] + self.affine_gap(1): self.all_traces[self.trace_ctr].append('up_D') i, j = self.paths[self.trace_ctr][0], self.paths[self.trace_ctr][1] self.paths[self.trace_ctr] = [i - 1, j, 'D'] # <--split happened split = True if self.p_matrix[self.i][self.j] == self.p_matrix[self.i - 1][self.j] + SCORES_DNA['beta']: if split: self.all_traces.append(self.all_traces[self.trace_ctr][0:-1]) self.all_traces[len(self.all_traces) - 1].append('up_P') self.paths.append([self.i - 1, self.j, 'P']) else: self.all_traces[self.trace_ctr].append('up_P') i, j = self.paths[self.trace_ctr][0], self.paths[self.trace_ctr][1] self.paths[self.trace_ctr] = [i - 1, j, 'P'] def trace_q(self): split = False if self.j > 0: if self.q_matrix[self.i][self.j] == self.d_matrix[self.i][self.j - 1] + self.affine_gap(1): self.all_traces[self.trace_ctr].append('left_D') i, j = self.paths[self.trace_ctr][0], self.paths[self.trace_ctr][1] self.paths[self.trace_ctr] = [i, j - 1, 'D'] # <--split happened split = True if self.q_matrix[self.i][self.j] == self.q_matrix[self.i][self.j - 1] + SCORES_DNA['beta']: if split: self.all_traces.append(self.all_traces[self.trace_ctr][0:-1]) self.all_traces[len(self.all_traces) - 1].append('left_Q') self.paths.append([self.i, self.j - 1, 'Q']) else: self.all_traces[self.trace_ctr].append('left_Q') self.paths[self.trace_ctr] = [self.i, self.j - 1, 'Q'] def alignment(self, traceback, seq1, seq2): """ Implement creation of the alignment with given traceback path and sequences1 and 2 """ i = len(seq1) - 1 j = len(seq2) - 1 seq1_align = "" seq2_align = "" for step in traceback: if step == "diag_D": seq1_align += seq1[i] seq2_align += seq2[j] i -= 1 j -= 1 elif step == "up_D" or step == 'up_P': seq1_align += seq1[i] seq2_align += '-' i -= 1 elif step == "left_D" or step == 'left_Q': seq1_align += '-' seq2_align += seq2[j] j -= 1 while j >= 0: seq1_align += '-' seq2_align += seq2[j] j -= 1 while i >= 0: seq2_align += '-' seq1_align += seq1[i] i -= 1 return seq1_align[::-1], seq2_align[::-1] # HELPER FUNCTIONS FOR SELF CHECK def visualize_matrix(self, matrix): """ Implement the visualization of a matrix. Can be used for self check """ for line in matrix: print(line) def score_of_alignment(self, align_seq1, align_seq2, cost_gap_open, cost_gap_extension, substitutions=None): """ A nice helper function which computes the score of the given alignment. This is only used for the self check. Input example: --CG AACA """ # TODO: return 0 # score SCORES_DNA = {'match': 1, 'mismatch': -1, 'alpha': -3, 'beta': -1} SCORES_PRO = {'alpha': -11, 'beta': -1} if __name__ == '__main__': fasta1 = "data/s1.fasta" fasta2 = "data/s2.fasta" pam_file = "data/pam250.txt" blosum_file = "data/blosum62.txt" gap_open = SCORES_DNA # DNA gotoh(fasta1, fasta2, SCORES_DNA, True) # protien pam # gotoh(fasta1, fasta2, SCORES_PRO, False, pam_file) # protien blosum # gotoh(fasta1, fasta2, SCORES_PRO, False, blosum_file) # Tool to test o/p http://rna.informatik.uni-freiburg.de/Teaching/index.jsp?toolName=Gotoh
import falcon import json from pyfirmata import Arduino, util l_motor_speed = 0 r_motor_speed = 0 l_motor l_dir1 = 2 l_dir2 = 3 r_motor r_dir1 = 4 r_dir2 = 5 board left_dir1_pin left_dir2_pin left_pwm right_dir1_pin right_dir2_pin right_pwm def get_status(): return 'POST -> Left Motor: ' + str(l_motor_speed) + ', Right Motor: ' + str(r_motor_speed) def set_l_motor(speed): global l_motor_speed print 'Setting Left Motor to: ' + str(speed) l_motor_speed = speed def set_r_motor(speed): global r_motor_speed print 'Setting Right Motor to: ' + str(speed) r_motor_speed = speed def setup(device_path): global board global left_dir1_pin global left_dir2_pin global left_pwm global right_dir1_pin global right_dir2_pin global right_pwm global l_motor global l_dir1 global l_dir2 global r_motor global r_dir1 global r_dir2 board = Arduino(device_path) left_dir1_pin = board.get_pin('a:' + l_dir1 + ':i') left_dir2_pin = board.get_pin('a:' + l_dir2 + ':i') left_pwm = board.get_pin('d:' + l_motor + ':p') right_dir1_pin = board.get_pin('a:' + r_dir1 + ':i') right_dir2_pin = board.get_pin('a:' + r_dir2 + ':i') right_pwm = board.get_pin('d:' + r_motor + ':p') class CardBoardBotResource(object): def on_get(self, req, resp): resp.status = falcon.HTTP_200 resp.body = 'Left Motor: %s, Right Motor: %s' % (l_motor,r_motor) def on_post(self, req, resp): try: raw_json = req.stream.read() except Exception as ex: raise falcon.HTTPError(falcon.HTTP_400, 'Error', ex.message) try: result_json = json.loads(raw_json, encoding='utf-8') except ValueError: raise falcon.HTTPError(falcon.HTTP_400, 'Malformed JSON', 'Could not decode. JSON was incorrect') resp.status = falcon.HTTP_202 set_l_motor(int(result_json['l_motor'])) set_r_motor(int(result_json['r_motor'])) resp.body = json.dumps(get_status(), encoding='utf-8') api = falcon.API() bot_resource = CardBoardBotResource() api.add_route('/bot', bot_resource)
'''OpenGL extension NV.compute_program5 This module customises the behaviour of the OpenGL.raw.GL.NV.compute_program5 to provide a more Python-friendly API Overview (from the spec) This extension builds on the ARB_compute_shader extension to provide new assembly compute program capability for OpenGL. ARB_compute_shader adds the basic functionality, including the ability to dispatch compute work. This extension provides the ability to write a compute program in assembly, using the same basic syntax and capability set found in the NV_gpu_program4 and NV_gpu_program5 extensions. The official definition of this extension is available here: http://www.opengl.org/registry/specs/NV/compute_program5.txt ''' from OpenGL import platform, constant, arrays from OpenGL import extensions, wrapper import ctypes from OpenGL.raw.GL import _types, _glgets from OpenGL.raw.GL.NV.compute_program5 import * from OpenGL.raw.GL.NV.compute_program5 import _EXTENSION_NAME def glInitComputeProgram5NV(): '''Return boolean indicating whether this extension is available''' from OpenGL import extensions return extensions.hasGLExtension( _EXTENSION_NAME ) ### END AUTOGENERATED SECTION
import numpy as np import numpy.random as npr import sys import cv2 import os import numpy as np import pickle as pickle import pandas as pd from sklearn.model_selection import train_test_split # 验证集比例 val_ratio = 0.12 # 读取训练图片列表 all_data = pd.read_csv('data/label.csv') # 分离训练集和测试集，stratify参数用于分层抽样 train_data_list, val_data_list = train_test_split(all_data, test_size=val_ratio, random_state=666, stratify=all_data['label']) # 读取测试图片列表 test_data_list = pd.read_csv('data/test.csv') train_path = list(train_data_list['img_path']) train_label = list(train_data_list['label']) val_path = list(val_data_list['img_path']) val_label = list(val_data_list['label']) print(train_label) with open('train.txt', 'w') as f: for i in range(len(train_path)): f.write(train_path[i]+" "+str(train_label[i])) f.write('\n') with open('val.txt', 'w') as f: for i in range(len(val_path)): f.write(val_path[i]+" "+str(val_label[i])) f.write('\n')
if __name__ == "__main__": import sys sys.path.append(".") from webmining.bingapi_fetcher import BingAPIFetcher import re from Levenshtein import jaro_winkler import unicodedata import string from urllib.parse import urlparse VIADEO_URL = re.compile("https?://fr.viadeo\.com/fr/company/(?P<company>[^/]*)/?.*") COMPANY_DESIGNATIONS = [" SA ", " SAS ", " SARL "] def strip_punctuation(s): translate_table = dict((ord(char), None) for char in string.punctuation) return s.translate(translate_table) def strip_accents(s): return ''.join(c for c in unicodedata.normalize('NFD', s) if unicodedata.category(c) != 'Mn') def normalize(s): s = s.upper() for designation in COMPANY_DESIGNATIONS: s = " " + s + " " s = s.replace(designation, "").strip() return strip_accents(strip_punctuation(s)) class ViadeoAccount: def __init__(self, company, url): self.company = company self.url = url def __str__(self): return self.url class ViadeoAccountDetector: def __init__(self, api_key): self.bing = BingAPIFetcher(api_key) def _fetch(self, query, company): results = self.bing.fetch(query) return self.parse_results(results, company) def detect(self, company_name, company_website=None): request = 'site:viadeo.com/fr/company "%s"' % company_name result = self._fetch(request, company_name) if result is None and company_website is not None: company_domain = urlparse(company_website).netloc if company_domain != "": request = 'site:viadeo.com/fr/company "%s"' % company_domain result = self._fetch(request, company_name) if result is None: #sys.stderr.write("no results\n") return None if not VIADEO_URL.match(result.url): #sys.stderr.write("Not a viadeo url: " + result.url + "\n") return None company_identifier = VIADEO_URL.search(result.url).groupdict()["company"] #If the identifier is the universal name and not the id, we test for similarity try: int(company_identifier) except ValueError: score = jaro_winkler(normalize(company_name), normalize(company_identifier)) if score < 0.7: #sys.stderr.write("%s too distant from %s (%.2f)\n" % (normalize(company_name), # normalize(company_identifier), # score)) return None return result def parse_results(self, results, company): if len(results) == 0: return None else: return ViadeoAccount(company, results[0].url) if __name__ == "__main__": import csv api_key = "ERie4sUx5F4tnOOphz4IVfOj3tnR8Ba1xBxCZPkZqqo=" li = ViadeoAccountDetector(api_key) with open(sys.argv[1], "r") as f: reader = csv.reader(f, delimiter="\t") for line in reader: #sys.stderr.write("begin detection for " + normalize(line[0]) + "\n") print(li.detect(*line))
import pandas as pd from src.data.data_query import StorageEngine from src.data.plays_model import game_json_to_plays_list def tidy_plays_df(years, augment=False): def _tidy_plays_one_year(start_year, storage_engine, augment=False): gamePk_list = storage_engine.get_all_season_gamePk(start_year) game_plays_df_list = [] for gamePk in gamePk_list: game_json = storage_engine.get_game(start_year, gamePk) game_plays_list = game_json_to_plays_list(game_json, augment=augment) game_plays_df = pd.DataFrame.from_records(game_plays_list) game_plays_df_list.append(game_plays_df) return pd.concat(game_plays_df_list) storage_engine = StorageEngine("./data/raw") season_plays_df_list = [] for start_year in years: season_plays_df = _tidy_plays_one_year(start_year, storage_engine, augment) season_plays_df_list.append(season_plays_df) return pd.concat(season_plays_df_list) def split_dataset(season_plays_df): train_seasons = [20152016, 20162017, 20172018, 20182019] test_seasons = [20192020] train_selection = (season_plays_df.game_type=="R") & (season_plays_df.game_season.isin(train_seasons)) train_df = season_plays_df.loc[train_selection].copy() test_selection = (season_plays_df.game_season.isin(test_seasons)) test_df = season_plays_df.loc[test_selection].copy() return train_df, test_df
import sink_settings as sinkSettings import websocket import kazoo import time import json import math import queue import uuid import os import glob import gzip import ssl import pathlib from b2sdk.v1 import * try: import thread except ImportError: import _thread as thread def construct_subscription(binding, auth_token, account_id): return json.dumps({'action': 'subscribe', 'auth_token': auth_token, 'data': {'account_id': account_id, 'binding': binding}}) def on_message(ws, message): try: json_dec = json.loads(message) if 'data' in json_dec: if 'subscribed' not in json_dec['data']: print(json.dumps(json_dec)) file_queue.put(json.dumps(json_dec)) else: print(message) file_queue.put(message) except: print(message) file_queue.put(message) def on_error(ws, error): print(error) def on_close(ws): print("### socket closed ###") def on_open(ws): def run(*args): for account in account_subs: for sub in event_subs: ws.send(construct_subscription(sub, account['auth_token'], account['account_id'])) time.sleep(1/rate_limit_per_second) thread.start_new_thread(run, ()) def closer(minutes): time.sleep(minutes*60) global closing_time closing_time = True ws.close() def old_file_cleanup(): # Cleans up old socketsink files if they weren't uploaded atexit for some reason global run_time # select all files ending with .socketsink and sort them by modified datetime files = glob.glob("*.socketsink.gz") files.sort(key=os.path.getmtime) for file in files: # break loop if current file is not at least 2x as old at the run_time (prevents write locks) # *180 used instead of *3 because runtime is in minutes not seconds if time.time() - (run_time * 180) < os.path.getmtime(file): break b2_file_upload(file) def b2_file_upload(file): info = InMemoryAccountInfo() b2_api = B2Api(info) application_key_id = sinkSettings.bz_application_key_id application_key = sinkSettings.bz_application_key b2_api.authorize_account("production", application_key_id, application_key) bucket = b2_api.get_bucket_by_name(sinkSettings.bz_bucket_name) try: bucket.upload_local_file(local_file=file, file_name=(sinkSettings.bz_unprocessed_folder_name + file)) os.remove(file) except: pass def cleanup(): ws.close() # saves all items in queue to a file with the name like StartTimeAsUNIXTimeStamp_UUID.socketsink # UUID is used in case sinks are being run on multiple machines file_name = str(start_time) + "_" + str(uuid.uuid1()) + ".socketsink.gz" file_contents = '' while not file_queue.empty(): file_contents += (file_queue.get() + '\n') with gzip.open(file_name, 'wb') as log: log.write(file_contents.encode('utf-8')) # Upload it to Backblaze B2 b2_file_upload(file_name) if __name__ == "__main__": start_time = time.time() # Transactions per second rate limit (int)(transactions/second) rate_limit_per_second = 10 # Run Time (int)(minutes) # This script is engineered to only run for a set time. For an hour for example # Then, presumably a new instance will be started by cron run_time = 30 # Accounts to subscribe to # If sub_descendants exists and is true, all sub-accounts will also be subscribed to account_subs = sinkSettings.accounts_to_sub # Events to subscribe to for each account event_subs = sinkSettings.events_to_sub # Variable to track when the script is intentionally closing itself down closing_time = False # Queue used to collect events to later dump to a file file_queue = queue.Queue() descendant_accounts_to_append = [] # Populate auth_tokens for all accounts for account in account_subs: kaz_client = kazoo.Client(base_url=sinkSettings.api_base_url, api_key=account['api_key']) kaz_client.authenticate() account['auth_token'] = kaz_client.auth_token # Populate decendant accounts with same auth token as the master account if account.get('sub_descendants', False): decendents = kaz_client.get_account_descendants(account['account_id']).get('data', {}) for descendant in decendents: descendant_accounts_to_append.append({'account_id': descendant['id'], 'auth_token': kaz_client.auth_token}) # Add the descendent accounts to the main list of subscriptions account_subs = account_subs + descendant_accounts_to_append # Delete the descendant_accounts_to_append since it's no longer needed del descendant_accounts_to_append # Calculating spin_up_time: Below we have the total number of transactions we'll need to issue spin_up_time = len(account_subs) * len(event_subs) # Calculating spin_up_time: Below we have divided the number of transactions by the rate/second # giving us seconds for spin up spin_up_time = spin_up_time/rate_limit_per_second # Calculating spin_up_time: Now, we divide by 60 to get the total number of minutes needed to spin up spin_up_time = spin_up_time/60 # Multiplying by 5 so that we can grow 5x each iteration without losing any data spin_up_time = spin_up_time*5 # Calculating spin_up_time: rounding up to the nearest int spin_up_time = math.ceil(spin_up_time) # Starts a thread that will close down the script after so many minutes # The currently calculated spin up time * 5 is added to provide a little overlap # for the new instance to connect and subscribe # duplicate records aren't a problem, missing ones are though # So long as we don't grow more then 5x in a single run of the instance, this should provide enough # extra time at the end for the next iteration to spin up thread.start_new_thread(closer, (run_time+spin_up_time,)) # Starts a thread to upload old socketsink files to backblaze thread.start_new_thread(old_file_cleanup, ()) while not closing_time: ws = websocket.WebSocketApp(sinkSettings.ws_base_url, on_message=on_message, on_close=on_close) ws.on_open = on_open ws.run_forever(sslopt=dict(ca_certs=sinkSettings.ca_pem)) # Sleeps for 5 seconds if it's not closing time # This allows for a small time-out if the connection unexpectedly closes if not closing_time: time.sleep(5) cleanup()
import pytest import os import base64 import copy import numpy import shutil from api.tests.utils.common_functions import get_section_from_config_file, get_config_file_json # The line below is absolutely necessary. Fixtures are passed as arguments to test functions. That is why IDE could # not recognized them. from api.tests.utils.fixtures_tests import config_rollback, camera_sample, rollback_screenshot_camera_folder, h_inverse_matrix, pts_destination, rollback_homography_matrix_folder # TODO: Test stuffs related with the parameter reboot_processor. def create_a_camera(client, camera): return client.post("/cameras", json=camera) def create_n_cameras(client, camera_base, number_of_cameras, enable=False): list_of_created_cameras = [] for i in range(number_of_cameras): camera = copy.deepcopy(camera_base) del camera['id'] camera["live_feed_enabled"] = enable created = client.post("/cameras", json=camera) list_of_created_cameras.append(created) return list_of_created_cameras def get_all_cameras(config_sample_path, with_image=False): config_file_json = get_config_file_json(config_sample_path, decamelize=True) list_of_cameras = { "cameras": [config_file_json[camera] for camera in config_file_json if camera.startswith("source__")]} for camera in list_of_cameras["cameras"]: camera.update({"id": str(camera["id"])}) if with_image: from api.routers.cameras import get_camera_default_image_string image_string = get_camera_default_image_string(camera["id"]) camera["image"] = image_string.decode("utf-8") else: camera["image"] = None return list_of_cameras def get_camera_from_config_file(camera_id, config_sample_path): list_of_cameras = get_all_cameras(config_sample_path)["cameras"] for camera in list_of_cameras: if camera["id"] == camera_id: return camera return None # pytest -v api/tests/app/test_camera.py::TestsListCameras class TestsListCameras: """List Cameras, GET /cameras""" def test_get_all_cameras_no_image(self, config_rollback): client, config_sample_path = config_rollback list_of_cameras = get_all_cameras(config_sample_path) response = client.get("/cameras") assert response.status_code == 200 assert response.json() == list_of_cameras def test_get_all_cameras_with_image(self, config_rollback): client, config_sample_path = config_rollback list_of_cameras = get_all_cameras(config_sample_path, with_image=True) response = client.get("/cameras?options=withImage") assert response.status_code == 200 assert response.json() == list_of_cameras # pytest -v api/tests/app/test_camera.py::TestsCreateCamera class TestsCreateCamera: """Create Camera, POST /cameras""" def test_create_one_camera_properly(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback response = client.post("/cameras", json=camera_sample) assert response.status_code == 201 for key in camera_sample: if key is not "image": assert response.json()[key] == camera_sample[key] def test_try_create_camera_twice(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback response_1 = client.post("/cameras", json=camera_sample) response_2 = client.post("/cameras", json=camera_sample) assert response_1.status_code == 201 assert response_2.status_code == 400 assert response_2.json() == {'detail': [{'loc': [], 'msg': 'Camera already exists', 'type': 'config ' 'duplicated ' 'camera'}]} def test_create_same_camera_twice_different_ids(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback body = camera_sample response_1 = client.post("/cameras", json=body) body["id"] = 54 response_2 = client.post("/cameras", json=body) assert response_1.status_code == 201 assert response_2.status_code == 201 def test_try_create_camera_empty_body(self, config_rollback): client, config_sample_path = config_rollback body = {} response = client.post("/cameras", json=body) assert response.status_code == 400 def test_create_a_camera_function(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback response = create_a_camera(client, camera_sample) assert response.status_code == 201 # pytest -v api/tests/app/test_camera.py::TestsGetCamera class TestsGetCamera: """ Get Camera, GET /cameras/{camera_id} """ def test_get_one_camera_properly(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback create_a_camera(client, camera_sample) camera_id = int(camera_sample["id"]) response = client.get(f"/cameras/{camera_id}") assert response.status_code == 200 for key in camera_sample: if key is not "image": assert response.json()[key] == camera_sample[key] def test_try_get_camera_non_existent_id(self, config_rollback): client, config_sample_path = config_rollback camera_id = "Non-existent ID" response = client.get(f"/cameras/{camera_id}") assert response.status_code == 404 # pytest -v api/tests/app/test_camera.py::TestsEditCamera class TestsEditCamera: """ Edit Camera, PUT /cameras/{camera_id} """ def test_edit_a_camera_properly(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback create_a_camera(client, camera_sample) camera_id = camera_sample["id"] body = { "violation_threshold": 22, "notify_every_minutes": 22, "emails": "new_john@email.com,new_doe@email.com", "enable_slack_notifications": True, "daily_report": False, "daily_report_time": "11:22", "id": camera_id, "name": "new_Kitchen", "video_path": "/repo/data/softbio_vid.mp4", "tags": "new_kitchen,new_living_room", "image": "new_Base64 image", "dist_method": "new_CenterPointsDistance", "live_feed_enabled": False } response = client.put(f"cameras/{camera_id}", json=body) assert response.status_code == 200 for key in body: if key != "image": assert response.json()[key] == body[key] def test_try_edit_a_camera_non_existent_id(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback create_a_camera(client, camera_sample) camera_id = "Non-existent ID" body = { "violation_threshold": 22, "notify_every_minutes": 22, "emails": "new_john@email.com,new_doe@email.com", "enable_slack_notifications": True, "daily_report": False, "daily_report_time": "11:22", "id": camera_id, "name": "new_Kitchen", "video_path": "/repo/data/softbio_vid.mp4", "tags": "new_kitchen,new_living_room", "image": "new_Base64 image", "dist_method": "new_CenterPointsDistance", "live_feed_enabled": False } response = client.put(f"cameras/{camera_id}", json=body) assert response.status_code == 404 assert response.json() == {"detail": f"The camera: {camera_id} does not exist"} def test_try_edit_camera_wrong_video_path(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback create_a_camera(client, camera_sample) camera_id = camera_sample["id"] body = { "violation_threshold": 22, "notify_every_minutes": 22, "emails": "new_john@email.com,new_doe@email.com", "enable_slack_notifications": True, "daily_report": False, "daily_report_time": "11:22", "id": camera_id, "name": "new_Kitchen", "video_path": "WRONG_PATH", "tags": "new_kitchen,new_living_room", "image": "new_Base64 image", "dist_method": "new_CenterPointsDistance", "live_feed_enabled": False } response = client.put(f"cameras/{camera_id}", json=body) assert response.status_code == 400 assert response.json()["detail"][0]["msg"] == "Failed to load video. The video URI is not valid" def test_edit_same_camera_twice(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback create_a_camera(client, camera_sample) camera_id = camera_sample["id"] body_1 = { "violation_threshold": 22, "notify_every_minutes": 22, "emails": "new_john@email.com,new_doe@email.com", "enable_slack_notifications": True, "daily_report": False, "daily_report_time": "11:22", "id": camera_id, "name": "new_Kitchen", "video_path": "/repo/data/softbio_vid.mp4", "tags": "new_kitchen,new_living_room", "image": "new_Base64 image", "dist_method": "new_CenterPointsDistance", "live_feed_enabled": False } body_2 = { "violation_threshold": 33, "notify_every_minutes": 33, "emails": "new_new_john@email.com,new_new_doe@email.com", "enable_slack_notifications": False, "daily_report": False, "daily_report_time": "10:33", "id": camera_id, "name": "new_new_Kitchen", "video_path": "/repo/data/softbio_vid.mp4", "tags": "new_new_kitchen,new_new_living_room", "image": "new_new_Base64 image", "dist_method": "new_new_CenterPointsDistance", "live_feed_enabled": False } client.put(f"cameras/{camera_id}", json=body_1) response = client.put(f"cameras/{camera_id}", json=body_2) assert response.status_code == 200 for key in body_2: if key != "image": assert response.json()[key] == body_2[key] def test_try_edit_camera_empty_json(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback create_a_camera(client, camera_sample) camera_id = camera_sample["id"] body = { } response = client.put(f"cameras/{camera_id}", json=body) """ Fields required: Name, video_path. Id is not required anymore. """ assert response.status_code == 400 assert response.json() == {"detail": [{"loc": ["body", "name"], "msg": "field required", "type": "value_error.missing"}, {"loc": ["body", "video_path"], "msg": "field required", "type": "value_error.missing"}], "body": {}} def test_edit_camera_empty_string_fields(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback create_a_camera(client, camera_sample) camera_id = camera_sample["id"] # Video path is correctly setted body = { "violation_threshold": 33, "notify_every_minutes": 33, "emails": "", "enable_slack_notifications": False, "daily_report": False, "daily_report_time": "", "id": camera_id, "name": "", "video_path": "/repo/data/softbio_vid.mp4", "tags": "", "image": "", "dist_method": "", "live_feed_enabled": False } response = client.put(f"/cameras/{camera_id}", json=body) assert response.status_code == 200 for key in camera_sample: if key is not "image": assert response.json()[key] == body[key] # pytest -v api/tests/app/test_camera.py::TestsDeleteCamera class TestsDeleteCamera: """ Delete Camera, DELETE /cameras/{camera_id} """ def test_delete_a_camera_properly(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback create_a_camera(client, camera_sample) camera_id = camera_sample["id"] response = client.delete(f"/cameras/{camera_id}") assert response.status_code == 204 def test_try_delete_a_camera_twice(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback create_a_camera(client, camera_sample) camera_id = camera_sample["id"] response_1 = client.delete(f"/cameras/{camera_id}") response_2 = client.delete(f"/cameras/{camera_id}") assert response_1.status_code == 204 assert response_2.status_code == 404 def test_try_delete_a_camera_non_existent_id(self, config_rollback): client, config_sample_path = config_rollback camera_id = "Non-existent ID" response = client.delete(f"/cameras/{camera_id}") assert response.status_code == 404 def test_try_delete_a_camera_id_none(self, config_rollback): client, config_sample_path = config_rollback camera_id = None response = client.delete(f"/cameras/{camera_id}") assert response.status_code == 404 def test_delete_a_camera_int_id(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback create_a_camera(client, camera_sample) camera_id = int(camera_sample["id"]) response = client.delete(f"/cameras/{camera_id}") assert response.status_code == 204 def get_string_bytes_from_image(camera_id): camera_screenshot_directory = os.path.join(os.environ.get("ScreenshotsDirectory"), str(camera_id)) image_name = os.listdir(camera_screenshot_directory)[0] camera_screenshot_file = os.path.join(camera_screenshot_directory, image_name) with open(camera_screenshot_file, "rb") as file: return base64.b64encode(file.read()).decode("utf-8") # pytest -v api/tests/app/test_camera.py::TestsGetCameraImage class TestsGetCameraImage: """ Get Camera Image, GET /cameras/{camera_id}/image """ def test_get_camera_image_properly(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback create_a_camera(client, camera_sample) camera_id = camera_sample["id"] response = client.get(f"/cameras/{camera_id}/image") assert response.status_code == 200 assert response.json()["image"] == get_string_bytes_from_image(camera_id) def test_try_get_camera_image_non_existent_id(self, config_rollback): client, config_sample_path = config_rollback camera_id = "Non-existent ID" response = client.get(f"/cameras/{camera_id}/image") assert response.status_code == 404 assert response.json() == {"detail": f"The camera: {camera_id} does not exist"} def get_h_inverse(camera_id): path = f"/repo/data/processor/static/data/sources/{camera_id}/homography_matrix/h_inverse.txt" with open(path, "r") as file: h_inverse = file.read() return h_inverse # pytest -v api/tests/app/test_camera.py::TestsConfigCalibratedDistance class TestsConfigCalibratedDistance: """ Config Calibrated Distance, POST /cameras/{camera_id}/homography_matrix """ # pytest -v api/tests/app/test_camera.py::TestsConfigCalibratedDistance::test_set_coordinates_properly def test_set_coordinates_properly(self, config_rollback, camera_sample, rollback_screenshot_camera_folder, h_inverse_matrix, pts_destination, rollback_homography_matrix_folder): client, config_sample_path = config_rollback create_a_camera(client, camera_sample) body = pts_destination camera_id = camera_sample["id"] response = client.post(f"/cameras/{camera_id}/homography_matrix", json=body) assert response.status_code == 204 assert get_h_inverse(camera_id) == h_inverse_matrix["h_inverse.txt"] # pytest -v api/tests/app/test_camera.py::TestsConfigCalibratedDistance::test_try_set_coordinates_0_arrays def test_try_set_coordinates_0_arrays(self, config_rollback, camera_sample, rollback_screenshot_camera_folder, rollback_homography_matrix_folder): client, config_sample_path = config_rollback create_a_camera(client, camera_sample) body = { "pts_destination": [ [ 0, 0 ], [ 0, 0 ], [ 0, 0 ], [ 0, 0 ] ] } camera_id = camera_sample["id"] with pytest.raises(numpy.linalg.LinAlgError): client.post(f"/cameras/{camera_id}/homography_matrix", json=body) def test_try_set_coordinates_non_existent_id(self, config_rollback, pts_destination): client, config_sample_path = config_rollback camera_id = "Non-existent ID" body = pts_destination response = client.post(f"/cameras/{camera_id}/homography_matrix", json=body) assert response.status_code == 404 assert response.json() == {"detail": f"The camera: {camera_id} does not exist"} def test_try_set_coordinates_empty_request_body(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback create_a_camera(client, camera_sample) camera_id = camera_sample["id"] body = {} response = client.post(f"/cameras/{camera_id}/homography_matrix", json=body) assert response.status_code == 400 assert response.json() == {"detail": [{"loc": ["body", "pts_destination"], "msg": "field required", "type": "value_error.missing"}], "body": {}} def test_try_set_coordinates_bad_request_body(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback create_a_camera(client, camera_sample) camera_id = camera_sample["id"] body = {"pts_destination": [None]} response = client.post(f"/cameras/{camera_id}/homography_matrix", json=body) assert response.status_code == 400 assert response.json() == {"detail": [{"loc": ["body", "pts_destination"], "msg": "ensure this value has at " "least 4 items", "type": "value_error.list.min_items", "ctx": {"limit_value": 4}}], "body": {"pts_destination": [None]}} # pytest -v api/tests/app/test_camera.py::TestsGetCameraCalibrationImage class TestsGetCameraCalibrationImage: """ Get Camera Calibration Image, GET /cameras/{camera_id}/calibration_image """ def test_get_camera_calibration_image_properly(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback create_a_camera(client, camera_sample) camera_id = camera_sample["id"] response = client.get(f"/cameras/{camera_id}/calibration_image") assert response.status_code == 200 def test_try_get_camera_image_non_existent_id(self, config_rollback): client, config_sample_path = config_rollback camera_id = "Non-existent ID" response = client.get(f"/cameras/{camera_id}/calibration_image") assert response.status_code == 404 assert response.json() == {"detail": f"The camera: {camera_id} does not exist"} # pytest -v api/tests/app/test_camera.py::TestsGetVideoLiveFeedEnabled class TestsGetVideoLiveFeedEnabled: """ Get Camera Calibration Image, GET /cameras/{camera_id}/video_live_feed_enabled """ def test_get_camera_calibration_image_properly(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback create_a_camera(client, camera_sample) camera_id = camera_sample["id"] response = client.get(f"/cameras/{camera_id}/video_live_feed_enabled") expected_response = { "enabled": camera_sample["live_feed_enabled"] } assert response.status_code == 200 assert response.json() == expected_response def test_try_get_camera_image_non_existent_id(self, config_rollback): client, config_sample_path = config_rollback camera_id = "Non-existent ID" response = client.get(f"/cameras/{camera_id}/video_live_feed_enabled") assert response.status_code == 404 assert response.json() == {"detail": f"The camera: {camera_id} does not exist"} # pytest -v api/tests/app/test_camera.py::TestsEnableVideoLiveFeed def rollback_screenshot_cameras_list(cameras_list): for camera in cameras_list: # Deletes the camera screenshots directory and all its content. camera_screenshot_directory = os.path.join(os.environ.get("ScreenshotsDirectory"), str(camera.json()["id"])) if os.path.exists(camera_screenshot_directory): shutil.rmtree(camera_screenshot_directory) class TestsEnableVideoLiveFeed: """ Enable Video Live Feed, PUT /cameras/{camera_id}/enable_video_live_feed """ def test_enable_video_live_feed_properly(self, config_rollback, camera_sample, rollback_screenshot_camera_folder): client, config_sample_path = config_rollback camera_sample["live_feed_enabled"] = False create_a_camera(client, camera_sample) camera_id = camera_sample["id"] response = client.put(f"/cameras/{camera_id}/enable_video_live_feed") camera_from_config_file = get_camera_from_config_file(camera_id, config_sample_path) assert response.status_code == 204 assert camera_from_config_file["live_feed_enabled"] is True def test_try_enable_video_live_feed_non_existent_id(self, config_rollback): client, config_sample_path = config_rollback camera_id = "Non-existent ID" response = client.put(f"/cameras/{camera_id}/enable_video_live_feed") assert response.status_code == 404 assert response.json() == {"detail": f"The camera: {camera_id} does not exist"} def test_enable_one_video_live_feed_disable_the_rest(self, config_rollback, camera_sample): client, config_sample_path = config_rollback cameras_list = create_n_cameras(client, camera_sample, 3) camera_1 = cameras_list[0].json() camera_2 = cameras_list[1].json() camera_3 = cameras_list[2].json() camera_id = camera_1['id'] response = client.put(f"/cameras/{camera_id}/enable_video_live_feed?disable_other_cameras=true") camera_from_config_file_0 = get_camera_from_config_file(camera_id, config_sample_path) camera_from_config_file_2 = get_camera_from_config_file(camera_2["id"], config_sample_path) camera_from_config_file_1 = get_camera_from_config_file(camera_3["id"], config_sample_path) assert response.status_code == 204 assert camera_from_config_file_0["live_feed_enabled"] is True assert camera_from_config_file_1["live_feed_enabled"] is False assert camera_from_config_file_2["live_feed_enabled"] is False rollback_screenshot_cameras_list(cameras_list) def test_enable_video_feed_disable_other_cameras_false(self, config_rollback, camera_sample): client, config_sample_path = config_rollback cameras_list = create_n_cameras(client, camera_sample, 3, enable=True) camera_1 = cameras_list[0].json() camera_2 = cameras_list[1].json() camera_3 = cameras_list[2].json() camera_id = camera_1['id'] response = client.put(f"/cameras/{camera_id}/enable_video_live_feed?disable_other_cameras=false") camera_from_config_file_0 = get_camera_from_config_file(camera_id, config_sample_path) camera_from_config_file_1 = get_camera_from_config_file(camera_2["id"], config_sample_path) camera_from_config_file_2 = get_camera_from_config_file(camera_3["id"], config_sample_path) assert response.status_code == 204 assert camera_from_config_file_0["live_feed_enabled"] is True assert camera_from_config_file_1["live_feed_enabled"] is True assert camera_from_config_file_2["live_feed_enabled"] is True rollback_screenshot_cameras_list(cameras_list)
# coding: utf-8 """ Copyright 2016 SmartBear Software 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. Ref: https://github.com/swagger-api/swagger-codegen """ from pprint import pformat from six import iteritems import re class AntivirusPolicyExtended(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ def __init__(self): """ AntivirusPolicyExtended - a model defined in Swagger :param dict swaggerTypes: The key is attribute name and the value is attribute type. :param dict attributeMap: The key is attribute name and the value is json key in definition. """ self.swagger_types = { 'description': 'str', 'enabled': 'bool', 'force_run': 'bool', 'impact': 'str', 'name': 'str', 'paths': 'list[str]', 'recursion_depth': 'int', 'schedule': 'str', 'id': 'str', 'last_run': 'int' } self.attribute_map = { 'description': 'description', 'enabled': 'enabled', 'force_run': 'force_run', 'impact': 'impact', 'name': 'name', 'paths': 'paths', 'recursion_depth': 'recursion_depth', 'schedule': 'schedule', 'id': 'id', 'last_run': 'last_run' } self._description = None self._enabled = None self._force_run = None self._impact = None self._name = None self._paths = None self._recursion_depth = None self._schedule = None self._id = None self._last_run = None @property def description(self): """ Gets the description of this AntivirusPolicyExtended. A description for the policy. :return: The description of this AntivirusPolicyExtended. :rtype: str """ return self._description @description.setter def description(self, description): """ Sets the description of this AntivirusPolicyExtended. A description for the policy. :param description: The description of this AntivirusPolicyExtended. :type: str """ self._description = description @property def enabled(self): """ Gets the enabled of this AntivirusPolicyExtended. Whether the policy is enabled. :return: The enabled of this AntivirusPolicyExtended. :rtype: bool """ return self._enabled @enabled.setter def enabled(self, enabled): """ Sets the enabled of this AntivirusPolicyExtended. Whether the policy is enabled. :param enabled: The enabled of this AntivirusPolicyExtended. :type: bool """ self._enabled = enabled @property def force_run(self): """ Gets the force_run of this AntivirusPolicyExtended. Forces the scan to run regardless of whether the files were recently scanned. :return: The force_run of this AntivirusPolicyExtended. :rtype: bool """ return self._force_run @force_run.setter def force_run(self, force_run): """ Sets the force_run of this AntivirusPolicyExtended. Forces the scan to run regardless of whether the files were recently scanned. :param force_run: The force_run of this AntivirusPolicyExtended. :type: bool """ self._force_run = force_run @property def impact(self): """ Gets the impact of this AntivirusPolicyExtended. The priority of the antivirus scan job. Must be a valid job engine impact policy, or null to use the default impact. :return: The impact of this AntivirusPolicyExtended. :rtype: str """ return self._impact @impact.setter def impact(self, impact): """ Sets the impact of this AntivirusPolicyExtended. The priority of the antivirus scan job. Must be a valid job engine impact policy, or null to use the default impact. :param impact: The impact of this AntivirusPolicyExtended. :type: str """ self._impact = impact @property def name(self): """ Gets the name of this AntivirusPolicyExtended. The name of the policy. :return: The name of this AntivirusPolicyExtended. :rtype: str """ return self._name @name.setter def name(self, name): """ Sets the name of this AntivirusPolicyExtended. The name of the policy. :param name: The name of this AntivirusPolicyExtended. :type: str """ self._name = name @property def paths(self): """ Gets the paths of this AntivirusPolicyExtended. Paths to include in the scan. :return: The paths of this AntivirusPolicyExtended. :rtype: list[str] """ return self._paths @paths.setter def paths(self, paths): """ Sets the paths of this AntivirusPolicyExtended. Paths to include in the scan. :param paths: The paths of this AntivirusPolicyExtended. :type: list[str] """ self._paths = paths @property def recursion_depth(self): """ Gets the recursion_depth of this AntivirusPolicyExtended. The depth to recurse in directories. The default of -1 gives unlimited recursion. :return: The recursion_depth of this AntivirusPolicyExtended. :rtype: int """ return self._recursion_depth @recursion_depth.setter def recursion_depth(self, recursion_depth): """ Sets the recursion_depth of this AntivirusPolicyExtended. The depth to recurse in directories. The default of -1 gives unlimited recursion. :param recursion_depth: The recursion_depth of this AntivirusPolicyExtended. :type: int """ self._recursion_depth = recursion_depth @property def schedule(self): """ Gets the schedule of this AntivirusPolicyExtended. The schedule for running scans in isi date format. Examples include: 'every Friday' or 'every day at 4:00'. A null value means the policy is manually scheduled. :return: The schedule of this AntivirusPolicyExtended. :rtype: str """ return self._schedule @schedule.setter def schedule(self, schedule): """ Sets the schedule of this AntivirusPolicyExtended. The schedule for running scans in isi date format. Examples include: 'every Friday' or 'every day at 4:00'. A null value means the policy is manually scheduled. :param schedule: The schedule of this AntivirusPolicyExtended. :type: str """ self._schedule = schedule @property def id(self): """ Gets the id of this AntivirusPolicyExtended. A unique identifier for the policy. :return: The id of this AntivirusPolicyExtended. :rtype: str """ return self._id @id.setter def id(self, id): """ Sets the id of this AntivirusPolicyExtended. A unique identifier for the policy. :param id: The id of this AntivirusPolicyExtended. :type: str """ self._id = id @property def last_run(self): """ Gets the last_run of this AntivirusPolicyExtended. The epoch time of the last run of this policy. :return: The last_run of this AntivirusPolicyExtended. :rtype: int """ return self._last_run @last_run.setter def last_run(self, last_run): """ Sets the last_run of this AntivirusPolicyExtended. The epoch time of the last run of this policy. :param last_run: The last_run of this AntivirusPolicyExtended. :type: int """ self._last_run = last_run def to_dict(self): """ Returns the model properties as a dict """ result = {} for attr, _ in iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value return result def to_str(self): """ Returns the string representation of the model """ return pformat(self.to_dict()) def __repr__(self): """ For `print` and `pprint` """ return self.to_str() def __eq__(self, other): """ Returns true if both objects are equal """ return self.__dict__ == other.__dict__ def __ne__(self, other): """ Returns true if both objects are not equal """ return not self == other
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import abc import typing import pandas as pd from automlToolkit.components.utils.utils import * from automlToolkit.components.utils.constants import * from automlToolkit.components.feature_engineering.transformation_graph import DataNode class Transformer(object, metaclass=abc.ABCMeta): """ This is the parent class for all transformers. type specification: 0: empty. 1: imputer. 2: one-hot encoding. 3: scaler. 4: normalizer. 5: quantile_transformer. 6: generic_univariate_selector. 7: extra_trees_based_selector. 7: liblinear_svc_based_selector. 8: percentile_selector. 9: variance_selector. 10: fast_ica. 11: feature_agg. 12: kernel_pca. 13: kitchen_sinks. 14: lda_decomposer. 15: nystronem. 16: pca. 17: polynomial, and cross features. 18: random_trees_embedding. 19: svd_decomposer. 20: data_balancer. ---- 21: arithmetic_operations. 22: binary_operations. 23: rfe. 24: continous_discretizer. 25: discrete_categorizer. ---- 26: merger. 30: percentile_selector_regression. 31: extra_trees_based_selector_regression """ def __init__(self, name, type, random_state=1): self.name = name self.type = type self.params = None self.model = None self._input_type = None self.output_type = None self.optional_params = None self.target_fields = None self._compound_mode = 'only_new' self.random_state = random_state self.sample_size = 2 @property def compound_mode(self): return self._compound_mode @compound_mode.setter def compound_mode(self, mode): if mode not in ['only_new', 'concatenate', 'in_place', 'replace']: raise ValueError('Invalid compound mode: %s!' % mode) self._compound_mode = mode @property def input_type(self): return self._input_type @input_type.setter def input_type(self, input_type: typing.List[str]): if not isinstance(input_type, list): input_type = [input_type] for type_ in input_type: if type_ not in FEATURE_TYPES: raise ValueError('Invalid feature type: %s!' % type_) self._input_type = input_type def __eq__(self, other): """Overrides the default implementation""" if isinstance(other, Transformer): if self.name == other.name and self.type == other.type and self.input_type == other.input_type \ and self.output_type == other.output_type and self.params == other.params \ and self.model == other.model and self.compound_mode == other.compound_mode: return True return False @abc.abstractmethod def operate(self, data_nodes: DataNode or typing.List[DataNode], target_fields: None or typing.List): raise NotImplementedError() def get_attributes(self): attributes = dict() for attr in dir(self): if attr.startswith('_abc_') or attr.startswith('__'): continue attr_val = getattr(self, attr) if type(attr_val) in [None, str, float, int]: attributes[attr] = attr_val return attributes def ease_trans(func): def dec(*args, **kwargs): param_name = 'target_fields' target_fields = None if len(args) == 3: trans, input, target_fields = args if type(target_fields) is list and len(target_fields) == 0: target_fields = None elif len(args) == 2: trans, input = args if param_name in kwargs and len(kwargs[param_name]) > 0: target_fields = kwargs[param_name] else: raise ValueError('The number of input is wrong!') if target_fields is None: target_fields = collect_fields(input.feature_types, trans.input_type) if len(target_fields) == 0: return input.copy_() X, y = input.data if isinstance(X, pd.DataFrame): X = X.values args = (trans, input, target_fields) _X = func(*args) if isinstance(trans.output_type, list): trans.output_type = trans.output_type[0] _types = [trans.output_type] * _X.shape[1] if trans.compound_mode == 'only_new': new_X = _X new_types = _types elif trans.compound_mode == 'concatenate': new_X = np.hstack((X, _X)) new_types = input.feature_types.copy() new_types.extend(_types) elif trans.compound_mode == 'replace': new_X = np.hstack((X, _X)) new_types = input.feature_types.copy() new_types.extend(_types) new_X = np.delete(new_X, target_fields, axis=1) temp_array = np.array(new_types) new_types = list(np.delete(temp_array, target_fields)) else: assert _X.shape[1] == len(target_fields) new_X = X.copy() new_X[:, target_fields] = _X new_types = input.feature_types.copy() output_datanode = DataNode((new_X, y), new_types, input.task_type) output_datanode.trans_hist = input.trans_hist.copy() output_datanode.trans_hist.append(trans.type) trans.target_fields = target_fields return output_datanode return dec
""" Compute metrics on rendered images (after eval.py). First computes per-object metric then reduces them. If --multicat is used then also summarized per-categority metrics. Use --reduce_only to skip the per-object computation step. Note eval.py already outputs PSNR/SSIM. This also computes LPIPS and is useful for double-checking metric is correct. """ import os import os.path as osp import argparse import skimage.measure from tqdm import tqdm import warnings import lpips import numpy as np import torch import imageio import json parser = argparse.ArgumentParser(description="Calculate PSNR for rendered images.") parser.add_argument( "--datadir", "-D", type=str, default="/home/group/chairs_test", help="Dataset directory; note: different from usual, directly use the thing please", ) parser.add_argument( "--output", "-O", type=str, default="eval", help="Root path of rendered output (our format, from eval.py)", ) parser.add_argument( "--dataset_format", "-F", type=str, default="dvr", help="Dataset format, nerf | srn | dvr", ) parser.add_argument( "--list_name", type=str, default="softras_test", help="Filter list prefix for DVR", ) parser.add_argument( "--gpu_id", type=int, default=0, help="GPU id. Only single GPU supported for this script.", ) parser.add_argument( "--overwrite", action="store_true", help="overwriting existing metrics.txt", ) parser.add_argument( "--exclude_dtu_bad", action="store_true", help="exclude hardcoded DTU bad views", ) parser.add_argument( "--multicat", action="store_true", help="Prepend category id to object id. Specify if model fits multiple categories.", ) parser.add_argument( "--viewlist", "-L", type=str, default="", help="Path to source view list e.g. src_dvr.txt; if specified, excludes the source view from evaluation", ) parser.add_argument( "--eval_view_list", type=str, default=None, help="Path to eval view list" ) parser.add_argument( "--primary", "-P", type=str, default="", help="List of views to exclude" ) parser.add_argument( "--lpips_batch_size", type=int, default=32, help="Batch size for LPIPS", ) parser.add_argument( "--reduce_only", "-R", action="store_true", help="skip the map (per-obj metric computation)", ) parser.add_argument( "--metadata", type=str, default="metadata.yaml", help="Path to dataset metadata under datadir, used for getting category names if --multicat", ) parser.add_argument( "--dtu_sort", action="store_true", help="Sort using DTU scene order instead of lex" ) args = parser.parse_args() if args.dataset_format == "dvr": list_name = args.list_name + ".lst" img_dir_name = "image" elif args.dataset_format == "srn": list_name = "" img_dir_name = "rgb" elif args.dataset_format == "nerf": warnings.warn("test split not implemented for NeRF synthetic data format") list_name = "" img_dir_name = "" else: raise NotImplementedError("Not supported data format " + args.dataset_format) data_root = args.datadir render_root = args.output def run_map(): if args.multicat: cats = os.listdir(data_root) def fmt_obj_name(c, x): return c + "_" + x else: cats = ["."] def fmt_obj_name(c, x): return x use_exclude_lut = len(args.viewlist) > 0 if use_exclude_lut: print("Excluding views from list", args.viewlist) with open(args.viewlist, "r") as f: tmp = [x.strip().split() for x in f.readlines()] exclude_lut = { x[0] + "/" + x[1]: torch.tensor(list(map(int, x[2:])), dtype=torch.long) for x in tmp } base_exclude_views = list(map(int, args.primary.split())) if args.exclude_dtu_bad: base_exclude_views.extend( [3, 4, 5, 6, 7, 16, 17, 18, 19, 20, 21, 36, 37, 38, 39] ) if args.eval_view_list is not None: with open(args.eval_view_list, "r") as f: eval_views = list(map(int, f.readline().split())) print("Only using views", eval_views) else: eval_views = None all_objs = [] print("CATEGORICAL SUMMARY") total_objs = 0 for cat in cats: cat_root = osp.join(data_root, cat) if not osp.isdir(cat_root): continue objs = sorted([x for x in os.listdir(cat_root)]) if len(list_name) > 0: list_path = osp.join(cat_root, list_name) with open(list_path, "r") as f: split = set([x.strip() for x in f.readlines()]) objs = [x for x in objs if x in split] objs_rend = [osp.join(render_root, fmt_obj_name(cat, x)) for x in objs] objs = [osp.join(cat_root, x) for x in objs] objs = [x for x in objs if osp.isdir(x)] objs = list(zip(objs, objs_rend)) objs_avail = [x for x in objs if osp.exists(x[1])] print(cat, "TOTAL", len(objs), "AVAILABLE", len(objs_avail)) # assert len(objs) == len(objs_avail) total_objs += len(objs) all_objs.extend(objs_avail) print(">>> USING", len(all_objs), "OF", total_objs, "OBJECTS") cuda = "cuda:" + str(args.gpu_id) lpips_vgg = lpips.LPIPS(net="vgg").to(device=cuda) def get_metrics(rgb, gt): ssim = skimage.measure.compare_ssim(rgb, gt, multichannel=True, data_range=1) psnr = skimage.measure.compare_psnr(rgb, gt, data_range=1) return psnr, ssim def isimage(path): ext = osp.splitext(path)[1] return ext == ".jpg" or ext == ".png" def process_obj(path, rend_path): if len(img_dir_name) > 0: im_root = osp.join(path, img_dir_name) else: im_root = path out_path = osp.join(rend_path, "metrics.txt") if osp.exists(out_path) and not args.overwrite: return ims = [x for x in sorted(os.listdir(im_root)) if isimage(x)] psnr_avg = 0.0 ssim_avg = 0.0 gts = [] preds = [] num_ims = 0 if use_exclude_lut: lut_key = osp.basename(rend_path).replace("_", "/") exclude_views = exclude_lut[lut_key] else: exclude_views = [] exclude_views.extend(base_exclude_views) for im_name in ims: im_path = osp.join(im_root, im_name) im_name_id = int(osp.splitext(im_name)[0]) im_name_out = "{:06}.png".format(im_name_id) im_rend_path = osp.join(rend_path, im_name_out) if osp.exists(im_rend_path) and im_name_id not in exclude_views: if eval_views is not None and im_name_id not in eval_views: continue gt = imageio.imread(im_path).astype(np.float32)[..., :3] / 255.0 pred = imageio.imread(im_rend_path).astype(np.float32) / 255.0 psnr, ssim = get_metrics(pred, gt) psnr_avg += psnr ssim_avg += ssim gts.append(torch.from_numpy(gt).permute(2, 0, 1) * 2.0 - 1.0) preds.append(torch.from_numpy(pred).permute(2, 0, 1) * 2.0 - 1.0) num_ims += 1 gts = torch.stack(gts) preds = torch.stack(preds) lpips_all = [] preds_spl = torch.split(preds, args.lpips_batch_size, dim=0) gts_spl = torch.split(gts, args.lpips_batch_size, dim=0) with torch.no_grad(): for predi, gti in zip(preds_spl, gts_spl): lpips_i = lpips_vgg(predi.to(device=cuda), gti.to(device=cuda)) lpips_all.append(lpips_i) lpips = torch.cat(lpips_all) lpips = lpips.mean().item() psnr_avg /= num_ims ssim_avg /= num_ims out_txt = "psnr {}\nssim {}\nlpips {}".format(psnr_avg, ssim_avg, lpips) with open(out_path, "w") as f: f.write(out_txt) for obj_path, obj_rend_path in tqdm(all_objs): process_obj(obj_path, obj_rend_path) def run_reduce(): if args.multicat: meta = json.load(open(osp.join(args.datadir, args.metadata), "r")) cats = sorted(list(meta.keys())) cat_description = {cat: meta[cat]["name"].split(",")[0] for cat in cats} all_objs = [] objs = [x for x in os.listdir(render_root)] objs = [osp.join(render_root, x) for x in objs if x[0] != "_"] objs = [x for x in objs if osp.isdir(x)] if args.dtu_sort: objs = sorted(objs, key=lambda x: int(x[x.rindex("/") + 5 :])) else: objs = sorted(objs) all_objs.extend(objs) print(">>> PROCESSING", len(all_objs), "OBJECTS") METRIC_NAMES = ["psnr", "ssim", "lpips"] out_metrics_path = osp.join(render_root, "all_metrics.txt") if args.multicat: cat_sz = {} for cat in cats: cat_sz[cat] = 0 all_metrics = {} for name in METRIC_NAMES: if args.multicat: for cat in cats: all_metrics[cat + "." + name] = 0.0 all_metrics[name] = 0.0 should_print_all_objs = len(all_objs) < 100 for obj_root in tqdm(all_objs): metrics_path = osp.join(obj_root, "metrics.txt") with open(metrics_path, "r") as f: metrics = [line.split() for line in f.readlines()] if args.multicat: cat_name = osp.basename(obj_root).split("_")[0] cat_sz[cat_name] += 1 for metric, val in metrics: all_metrics[cat_name + "." + metric] += float(val) for metric, val in metrics: all_metrics[metric] += float(val) if should_print_all_objs: print(obj_root, end=" ") for metric, val in metrics: print(val, end=" ") print() for name in METRIC_NAMES: if args.multicat: for cat in cats: if cat_sz[cat] > 0: all_metrics[cat + "." + name] /= cat_sz[cat] all_metrics[name] /= len(all_objs) print(name, all_metrics[name]) metrics_txt = [] if args.multicat: for cat in cats: if cat_sz[cat] > 0: cat_txt = "{:12s}".format(cat_description[cat]) for name in METRIC_NAMES: cat_txt += " {}: {:.6f}".format(name, all_metrics[cat + "." + name]) cat_txt += " n_inst: {}".format(cat_sz[cat]) metrics_txt.append(cat_txt) total_txt = "---\n{:12s}".format("total") else: total_txt = "" for name in METRIC_NAMES: total_txt += " {}: {:.6f}".format(name, all_metrics[name]) metrics_txt.append(total_txt) metrics_txt = "\n".join(metrics_txt) with open(out_metrics_path, "w") as f: f.write(metrics_txt) print("WROTE", out_metrics_path) print(metrics_txt) if __name__ == "__main__": if not args.reduce_only: print(">>> Compute") run_map() print(">>> Reduce") run_reduce()
from functools import lru_cache from functools import singledispatch from typing import Any from typing import Type from typing import TypeVar from ..types import CannotDispatch from ..types import Forge from .functional import FunctionalDispatch T = TypeVar("T") def sentry(type_: Type[T], data: Any, build: Forge) -> T: raise CannotDispatch() class MultiDispatcher: def __init__(self): self._single_dispatch = singledispatch(CannotDispatch) self._functional_dispatch: FunctionalDispatch = FunctionalDispatch(sentry) self.dispatch = lru_cache()(self._dispatch) def register_cls(self, type_, handler): self._single_dispatch.register(type_, handler) self.dispatch.cache_clear() def register_func(self, func, handler): self._functional_dispatch.register(func)(handler) self.dispatch.cache_clear() def _dispatch(self, type_): try: dispatch = self._single_dispatch.dispatch(type_) except AttributeError: dispatch = CannotDispatch if dispatch == CannotDispatch: return self._functional_dispatch return dispatch
import urllib.request import re def get_url_content(url, timeout=1): request = urllib.request.Request(url, headers={'User-Agent': 'Mozilla/5.0'}) with urllib.request.urlopen(request, timeout=timeout) as resp: return resp.read().decode(errors="ignore") def remove_tags(text): regular = re.compile('<.*?>') text = re.sub(regular, '', text) regular = re.compile('[\n\r\t]') text = re.sub(regular, '', text) text = ' '.join(text.split()) return text def get_text_from_url(url, timeout=1, tags=False): content = get_url_content(url, timeout) if not tags: return remove_tags(content) return content
# -*- coding: utf-8 -*- import pandas as pd import MySQLdb as mysqldb from MySQLdb import cursors import numpy as np import re import easygui as eg from tqdm import tqdm, tqdm_pandas def init_sql_db(): def rd_pass(): return open('pass.pass','r').read() HOST = "127.0.0.1" LOGIN = "nseifert" PASS = rd_pass() db = mysqldb.connect(host=HOST, user=LOGIN, passwd=PASS.strip(), port=3307, cursorclass=cursors.SSCursor) db.autocommit(False) print 'MySQL Login Successful.' return db def calc_rough_mass(formula): # Look-up table for common elements: masses = {'H': 1.0, 'D': 2.0, 'He': 4.0, 'B': 10.8, 'C': 12.0, 'N': 14.0, 'O': 16.0, 'F': 19.0, 'Na': 23.0, 'Mg': 24.3, 'Al': 27.0, 'Si': 28.0, 'P': 31.0, 'S': 32.0, 'Cl': 35.0, 'K': 39.0, 'Ti': 48.0, 'Fe': 56.0 } mass = 0.0 for entry in re.findall(r'([A-Z][a-z]*)(\d*)', formula): try: ele_mass = masses[entry[0]] if entry[1] != '': ele_mass *= int(entry[1]) mass += ele_mass except KeyError: continue return int(mass) def read_raw_file(inp, fmt, delimiter, tag, skiprows=0): linelist = {} for key in fmt: linelist[key] = [] for i, line in enumerate(inp): if i <= skiprows-1: continue if line.split() is None: continue else: temp = line.decode('unicode_escape').encode('ascii', 'ignore') # Gets rid of Unicode escape characters if tag == 'shimajiri': line_elements = {} # Sanitize formulas line_elements['El'] = temp.split()[0] # Pull upper quantum number m = re.search(r'\((.*?)\)', temp) line_elements['qNu'] = re.findall(r'\d+', m.group(1))[0] # Pull frequency line_elements['Freq'] = float(re.sub(r'\(.*?\)', '', temp).split()[1])*1000 for key in fmt: linelist[key].append(line_elements[key]) return pd.DataFrame.from_dict(linelist) def read_vizier_file(inp, fmt, delimiter): # Construct linelist result dictionary linelist = {} for key in fmt: linelist[key] = [] atLineList = False for line in inp: if not line.strip(): # Blank line continue if line[0] == "#": # Comment continue if '--' in line: # Last line before linelist starts atLineList = True continue if atLineList: try: for i, key in enumerate(fmt): if len(line.strip().split(delimiter)) != len(fmt): continue else: linelist[key].append(line.strip().split(delimiter)[i]) except IndexError: print "\"" + line + "\"" raise linelist['Freq'] = [float(f) for f in linelist['Freq']] # Convert from str to float return pd.DataFrame.from_dict(linelist) def push_raw_to_splat(astro_ll, meta, db, fuzzy_search=0, use_qn_mult=1, use_qn_sing=0, freq_tol=1.0, mass_tol=4.0, verbose=0): if verbose: filename = open('output.txt', 'w') if not fuzzy_search: species_id_global = {} for idx, row in tqdm(astro_ll.iterrows(), total=astro_ll.shape[0]): curs2 = db.cursor() cmd = "SELECT line_id, orderedfreq, transition_in_space, species_id, quantum_numbers FROM main " \ "WHERE Lovas_NRAO = 1 AND (orderedfreq <= %s AND orderedfreq >= %s)"\ % (row['Freq'] + freq_tol, row['Freq'] - freq_tol) curs2.execute(cmd) res = curs2.fetchall() num_results = len(res) if not fuzzy_search: if row['El'] not in species_id_global.keys(): species_id_lookup = {} for rrow in res: t_cursor = db.cursor() cmd = "SELECT SPLAT_ID, chemical_name, s_name FROM species where species_id = %s" % rrow[3] t_cursor.execute(cmd) species_id_lookup[rrow[3]] = t_cursor.fetchall() t_cursor.close() if len(species_id_lookup.keys()) == 1: species_id_global[row['El']] = species_id_lookup.keys()[0] else: selections = [str(k)+'\t'+'\t'.join([str(k) for k in v]) for k, v in species_id_lookup.iteritems()] choice = eg.choicebox(msg='Multiple results for entry %s. Pick the matching splat entry.' % row['El'], choices=selections) species_id_global[row['El']] = choice.split()[0] selected_transitions = [] overlap_trans = False updated_species_ids = set() if num_results > 0: for sql_row in res: t_cursor = db.cursor() cmdd = "SELECT SPLAT_ID FROM species WHERE species_id = %s" % sql_row[3] t_cursor.execute(cmdd) splat_id = t_cursor.fetchall()[0][0] splat_mass = int(splat_id[:-2].lstrip("0")) if verbose: filename.write('\t'.join([str(splat_id), str(splat_mass), str(row['rough_mass'])])+"\n") if str(sql_row[2]) == "1": # Transition already labeled if verbose: filename.write('Transition found for %s for splat_id %s\n' %(row['El'], splat_id)) continue if np.abs(splat_mass - row['rough_mass']) <= mass_tol: if num_results > 1: if use_qn_mult: if row['qNu'].split()[0] == sql_row[-1].split()[0]: selected_transitions.append(sql_row) updated_species_ids.add(sql_row[3]) elif not fuzzy_search: if str(species_id_global[row['El']]) == str(sql_row[3]): selected_transitions.append(sql_row) updated_species_ids.add(sql_row[3]) if num_results == 1: selected_transitions.append(sql_row) updated_species_ids.add(sql_row[3]) t_cursor.close() if len(selected_transitions) > 0: # Push updates to main overlap_trans = True for trans in selected_transitions: curs2.execute("UPDATE main SET transition_in_space=1, source_Lovas_NIST=\"%s\", telescope_Lovas_NIST=\"%s\", obsref_Lovas_NIST=\"%s\" WHERE line_id = %s" % (meta['source'], meta['tele'], meta['ref_short'], trans[0])) if verbose: filename.write('Frequency: %s \t # Results Raw: %i \t Selected Results: %i\n' % (row['Freq'], num_results, len(selected_transitions))) if len(selected_transitions) != 0: filename.write('--------------\n') for sel_row in selected_transitions: filename.write('\t\t Line: %s \t Species ID: %s \t Splat Freq: %s\n\n' % (sel_row[0], sel_row[2], sel_row[1])) else: filename.write('--------------\n') filename.write('No lines found. Species: %s \t Formula: %s \t Rough Mass: %s \n' \ % (row['El'],row['El_parse'], row['rough_mass'])) # Update metadata for species that were updated for species in updated_species_ids: curs2.execute("SELECT Ref19, Date from species_metadata where species_id=%s ORDER BY Date DESC" % species) try: ref_data = curs2.fetchall()[0] except IndexError: # Bad species_id? print 'Bad ref data for species id # %s: ' % species continue if ref_data[0] == None or ref_data[0] == '': to_write = "Astronomically observed transitions for this linelist have been marked using data from" \ " the following references" if overlap_trans: to_write += " (NOTE: Some transitions in the linelist " \ "are overlapping at typical astronomical linewidths." \ " All transitions within this typical tolerance have been marked as observed.)" to_write += ": %s" % meta['ref_full'] else: continue # to_write = ref_data[0] + "; %s" % meta['ref_full'] curs2.execute("UPDATE species_metadata SET Ref19 = \"%s\" WHERE species_id=%s AND Date = \"%s\"" % (to_write, species, ref_data[1])) curs2.close() if verbose: filename.close() # Update linelist list with ref # curs3 = db.cursor() # curs3.execute("INSERT INTO lovas_references (Lovas_shortref, Lovas_fullref) VALUES (\"%s\", \"%s\")" %(meta['ref_short'], meta['ref_full'])) print 'Update completed successfully.' def push_vizier_to_splat(astro_ll, meta, db, use_qn_mult=1, use_qn_sing=0, freq_tol=1.0, mass_tol=4, verbose=0): if verbose: filename = open('output.txt', 'w') for idx, row in tqdm(astro_ll.iterrows(), total=astro_ll.shape[0]): curs2 = db.cursor() cmd = "SELECT line_id, orderedfreq, transition_in_space, species_id, quantum_numbers FROM main " \ "WHERE Lovas_NRAO = 1 AND (orderedfreq <= %s AND orderedfreq >= %s)"\ % (row['Freq'] + freq_tol, row['Freq'] - freq_tol) curs2.execute(cmd) res = curs2.fetchall() num_results = len(res) selected_transitions = [] overlap_trans = False updated_species_ids = set() if num_results > 0: for sql_row in res: curs2.execute("SELECT SPLAT_ID FROM species WHERE species_id = %s" % sql_row[3]) splat_id = curs2.fetchall()[0][0] splat_mass = int(splat_id[:-2].lstrip("0")) if verbose: filename.write('\t'.join([str(splat_id), str(splat_mass), str(row['rough_mass'])])+"\n") if sql_row[2] == "1" or sql_row[2] == 1: # Transition already labeled continue if np.abs(splat_mass - row['rough_mass']) <= mass_tol: if num_results > 1: if use_qn_mult: if row['qNu'].split()[0] == sql_row[-1].split()[0]: selected_transitions.append(sql_row) updated_species_ids.add(sql_row[3]) else: selected_transitions.append(sql_row) updated_species_ids.add(sql_row[3]) if num_results == 1: if use_qn_sing: if row['qNu'].split()[0] == sql_row[-1].split()[0]: selected_transitions.append(sql_row) updated_species_ids.add(sql_row[3]) else: selected_transitions.append(sql_row) updated_species_ids.add(sql_row[3]) if len(selected_transitions) > 0: # Push updates to main overlap_trans = True for trans in selected_transitions: curs2.execute("UPDATE main SET transition_in_space=1, source_Lovas_NIST=\"%s\", telescope_Lovas_NIST=\"%s\", obsref_Lovas_NIST=\"%s\" WHERE line_id = %s" % (meta['source'], meta['tele'], meta['ref_short'], trans[0])) if verbose: filename.write('Frequency: %s \t # Results Raw: %i \t Selected Results: %i\n' % (row['Freq'], num_results, len(selected_transitions))) if len(selected_transitions) != 0: filename.write('--------------\n') for sel_row in selected_transitions: filename.write('\t\t Line: %s \t Species ID: %s \t Splat Freq: %s\n\n' % (sel_row[0], sel_row[2], sel_row[1])) else: filename.write('--------------\n') filename.write('No lines found. Species: %s \t Formula: %s \t Rough Mass: %s \n' \ % (row['El'],row['El_parse'], row['rough_mass'])) # Update metadata for species that were updated for species in updated_species_ids: curs2.execute("SELECT Ref19, Date from species_metadata where species_id=%s ORDER BY Date DESC" % species) try: ref_data = curs2.fetchall()[0] except IndexError: # Bad species_id? print 'Bad ref data for species id # %s: ' % species continue if ref_data[0] == None or ref_data[0] == '': to_write = "Astronomically observed transitions for this linelist have been marked using data from" \ " the following references" if overlap_trans: to_write += " (NOTE: Some transitions in the linelist " \ "are overlapping at typical astronomical linewidths." \ " All transitions within this typical tolerance have been marked as observed.)" to_write += ": %s" % meta['ref_full'] else: continue # to_write = ref_data[0] + "; %s" % meta['ref_full'] curs2.execute("UPDATE species_metadata SET Ref19 = \"%s\" WHERE species_id=%s AND Date = \"%s\"" % (to_write, species, ref_data[1])) curs2.close() if verbose: filename.close() # Update linelist list with ref curs3 = db.cursor() curs3.execute("INSERT INTO lovas_references (Lovas_shortref, Lovas_fullref) VALUES (\"%s\", \"%s\")" %(meta['ref_short'], meta['ref_full'])) print 'Update completed successfully.' if __name__ == "__main__": path = "/home/nate/Downloads/Line Survey/Shimajiri 2015/FIR_3N_raw.txt" fmt = ['El', 'qNu', 'Freq'] TOLERANCE = 1.0 # In units of linelist frequency, typically MHz. linelist = read_raw_file(open(path, 'r'), fmt, ' ', tag='shimajiri') #rint linelist # linelist = read_vizier_file(open(path, 'r'), fmt, '\t') # linelist['El'] = linelist['El'].apply(lambda x: x.replace('_','')).apply(lambda x: re.sub('\\^.*?\\^', '', x)).apply(lambda x: x.strip()) # linelist['qNu'] = linelist['qNu'].apply(lambda x: re.findall(r'\d+', x)[0]) def parse_formula(row): return ''.join([x[0] if x[1] == '' else x[0]+x[1] for x in re.findall(r'([A-Z][a-z]*)(\d*)', row)]) def sanitize_formula(form): formula_chars_to_rid = ['+', '13', '18', '15', '17'] for val in formula_chars_to_rid: form = form.replace(val, '') return form linelist['El_parse'] = linelist['El'].apply(parse_formula).apply(sanitize_formula) linelist['rough_mass'] = linelist['El_parse'].apply(calc_rough_mass) print linelist db = init_sql_db() print 'Connected to database successfully.' cursor = db.cursor() cursor.execute("USE splat") # Enter metadata for astronomical study fields = ['Telescope', 'Source', 'Full Reference', 'Reference Abbrev.'] # fieldValues = eg.multenterbox(msg="Enter metadata for astro survey.", title="Survey Metadata", fields=fields) # metadata = {'tele': fieldValues[0], 'source': fieldValues[1], # 'ref_full': fieldValues[2], 'ref_short': fieldValues[3]} metadata = {'tele': 'ATSE', 'source': 'OMC 2-FIR-3N', 'ref_full': 'Y. Shimajiri, T. Sakai, Y. Kitamura, <i>et. al</i>, <b>2015</b>, <i>ApJ. Suppl.</i> 221, 2.', 'ref_short': 'Shimajiri 2015'} print 'Pushing updates from %s, telescope: %s, source: %s...' \ % (metadata['ref_short'], metadata['tele'], metadata['source']) push_raw_to_splat(astro_ll=linelist, meta=metadata, db=db, verbose=0, fuzzy_search=0, use_qn_mult=1, mass_tol=3, freq_tol=2.0) # push_vizier_to_splat(astro_ll=linelist, meta=metadata, db=db, use_qn_mult=1, mass_tol=4, freq_tol=1.0)
# Copyright 2012 OpenStack Foundation # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import sys import six import testtools from glanceclient.common import utils class TestUtils(testtools.TestCase): def test_make_size_human_readable(self): self.assertEqual("106B", utils.make_size_human_readable(106)) self.assertEqual("1000kB", utils.make_size_human_readable(1024000)) self.assertEqual("1MB", utils.make_size_human_readable(1048576)) self.assertEqual("1.4GB", utils.make_size_human_readable(1476395008)) self.assertEqual("9.3MB", utils.make_size_human_readable(9761280)) def test_get_new_file_size(self): size = 98304 file_obj = six.StringIO('X' * size) try: self.assertEqual(utils.get_file_size(file_obj), size) # Check that get_file_size didn't change original file position. self.assertEqual(file_obj.tell(), 0) finally: file_obj.close() def test_get_consumed_file_size(self): size, consumed = 98304, 304 file_obj = six.StringIO('X' * size) file_obj.seek(consumed) try: self.assertEqual(utils.get_file_size(file_obj), size) # Check that get_file_size didn't change original file position. self.assertEqual(file_obj.tell(), consumed) finally: file_obj.close() def test_prettytable(self): class Struct: def __init__(self, **entries): self.__dict__.update(entries) # test that the prettytable output is wellformatted (left-aligned) columns = ['ID', 'Name'] val = ['Name1', 'another', 'veeeery long'] images = [Struct(**{'id': i ** 16, 'name': val[i]}) for i in range(len(val))] saved_stdout = sys.stdout try: sys.stdout = output_list = six.StringIO() utils.print_list(images, columns) sys.stdout = output_dict = six.StringIO() utils.print_dict({'K': 'k', 'Key': 'veeeeeeeeeeeeeeeeeeeeeeee' 'eeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee' 'eeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee' 'eeeeeeeeeeeery long value'}, max_column_width=60) finally: sys.stdout = saved_stdout self.assertEqual(output_list.getvalue(), '''\ +-------+--------------+ | ID | Name | +-------+--------------+ | | Name1 | | 1 | another | | 65536 | veeeery long | +-------+--------------+ ''') self.assertEqual(output_dict.getvalue(), '''\ +----------+--------------------------------------------------------------+ | Property | Value | +----------+--------------------------------------------------------------+ | K | k | | Key | veeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee | | | eeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee | | | ery long value | +----------+--------------------------------------------------------------+ ''') def test_exception_to_str(self): class FakeException(Exception): def __str__(self): raise UnicodeError() ret = utils.exception_to_str(Exception('error message')) self.assertEqual(ret, 'error message') ret = utils.exception_to_str(Exception('\xa5 error message')) self.assertEqual(ret, ' error message') ret = utils.exception_to_str(FakeException('\xa5 error message')) self.assertEqual(ret, "Caught '%(exception)s' exception." % {'exception': 'FakeException'})
from __future__ import print_function, division, absolute_import import numpy as np import abstract_rendering.core as core from abstract_rendering._cntr import Cntr class Contour(core.ShapeShader): def __init__(self, x_range=None, y_range=None, levels=5, points=True): """ x/y_range arguments determine the data values that correspond to the max/min values on the axes of the input grid. It is assumed that the grid is linear between the two. levels as a scalar determines how many levels will be built levels as a list determines where the levels are built points -- Indicates if it should return values as [[(x,y)...], [(x,y)...]] (default, True) or as [[x,x...], [x,x...],[y,y...][y,y...]] (False) """ self.x_range = x_range self.y_range = y_range self.levels = levels self.points = points def fuse(self, grid): x_range = self.x_range if self.x_range else (0, grid.shape[1]-1) y_range = self.y_range if self.y_range else (0, grid.shape[0]-1) xs = np.linspace(x_range[0], x_range[1], num=grid.shape[1]) ys = np.linspace(y_range[0], y_range[1], num=grid.shape[0]) xg, yg = np.meshgrid(xs, ys) c = Cntr(xg, yg, grid) if isinstance(self.levels, list): levels = self.levels else: levels = Contour.nlevels(grid, self.levels) isos = dict() for level in levels: points = c.trace(level, points=self.points) points = [[], []] if len(points) == 0 else points isos[level] = points return isos @classmethod def nlevels(cls, grid, n): "Given grid of values, pick out n values for iso contour levels" # The contouring library outlines places below the given value. # We do n+2 and drop the first and last values because they are # empty contours. return np.linspace(grid.min(), grid.max(), n+2)[1:-1]
import socket, menu sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sock.connect(("gopher.floodgap.com", 70)) sock.sendall("\r\n".encode("ascii")) data = b"" while True: temp = sock.recv(1024) if not temp: break data += temp sock.close() data = data.decode("ascii") p = menu.Parser(data) for i in range(2): print("\n".join(map(str,p.parse())))
# -*- coding: utf-8 -*- """ websiteconfig ~~~~~~~~~~~~~ default config for website. """ import os class default_settings(object): DEBUG = True TESTING = True SECRET_KEY = '\x7f\x89q\x87v~\x87~\x86U\xb1\xa8\xb5=v\xaf\xb0\xdcn\xfa\xea\xeb?\x99' SQLALCHEMY_ECHO = True SQLALCHEMY_DATABASE_URI = 'sqlite:///%s/instance/website.db' % os.path.abspath(os.path.dirname(__file__))
print("Sartu zenbakiak...") a=int(input("Sartu lehenengo zenbakia: ")) b=int(input("Sartu bigarren zenbakia: ")) def baino_txikiagoa(a, b): if a > b: return("Bigarren zenbakia txikiagoa da.") elif a < b: return("Lehenengo zenbakia txikiagoa da.") elif a == b: return("Zenbaki berdina sartu dezu.") else: return("Ez dezu zenbaki bat sartu. Saiatu berriro.") print(baino_txikiagoa(a, b))
import pytest from sciwing.modules.embedders.bert_embedder import BertEmbedder import itertools from sciwing.utils.common import get_system_mem_in_gb from sciwing.data.line import Line import torch bert_types = [ "bert-base-uncased", "bert-base-cased", "scibert-base-cased", "scibert-sci-cased", "scibert-base-uncased", "scibert-sci-uncased", "bert-large-uncased", "bert-large-cased", ] aggregation_types = ["sum", "average"] bert_type_aggregation = list(itertools.product(bert_types, aggregation_types)) system_memory = get_system_mem_in_gb() system_memory = int(system_memory) @pytest.fixture(params=bert_type_aggregation) def setup_bert_embedder(request): dropout_value = 0.0 bert_type, aggregation_type = request.param bert_embedder = BertEmbedder( dropout_value=dropout_value, aggregation_type=aggregation_type, bert_type=bert_type, ) strings = [ "Lets start by talking politics", "there are radical ways to test your code", ] lines = [] for string in strings: line = Line(text=string) lines.append(line) return bert_embedder, lines @pytest.mark.skipif( system_memory < 4, reason="System memory too small to run testing for BertEmbedder" ) class TestBertEmbedder: @pytest.mark.slow def test_embedder_dimensions(self, setup_bert_embedder): """ The bow bert encoder should return a single instance that is the sum of the word embeddings of the instance """ bert_embedder, lines = setup_bert_embedder encoding = bert_embedder(lines) lens = [len(line.tokens["tokens"]) for line in lines] max_word_len = max(lens) assert encoding.size(0) == 2 assert encoding.size(2) == bert_embedder.get_embedding_dimension() assert encoding.size(1) == max_word_len @pytest.mark.slow def test_bert_embedder_tokens(self, setup_bert_embedder): bert_embedder, lines = setup_bert_embedder _ = bert_embedder(lines) emb_dim = bert_embedder.get_embedding_dimension() emb_name = bert_embedder.embedder_name for line in lines: tokens = line.tokens[bert_embedder.word_tokens_namespace] for token in tokens: assert isinstance(token.get_embedding(emb_name), torch.FloatTensor) assert token.get_embedding(emb_name).size(0) == emb_dim
# -*- coding: utf-8 -*- """ @author: krakowiakpawel9@gmail.com @site: e-smartdata.org """ import numpy as np import pandas as pd import seaborn as sns sns.set() df = pd.read_csv('./data/ten_d.csv', index_col=0) df.columns = ['Open', 'High', 'Low', 'Close', 'Volume'] # %% df_agg = df.rolling(window=10).agg(np.mean) # %% close_stats = df['Close'].rolling(window=10).agg([np.median, np.mean, np.std]) # %% df_stats = df.drop('Volume', axis=1) df_stats = df_stats.rolling(window=10).agg([np.mean, np.std]) # %% different aggregation diff_agg = df.rolling(window=20).agg({'Close': [np.std, np.mean], 'Volume': np.std}) # %% df = (df - df.mean()) / df.std() df = df.rolling(window=30).agg({'Close': np.std, 'Volume': np.std}) df.plot() # %% df.rolling(window=len(df), min_periods=1).mean()[:5]
# coding=utf-8 from __future__ import absolute_import, division, print_function, \ unicode_literals from typing import MutableMapping __all__ = [ 'with_context', ] def with_context(exc, context): # type: (Exception, dict) -> Exception """ Attaches a context dict to an exception, so that it can be captured by loggers. This lets you keep the exception message fairly short/generic, while making useful troubleshooting information accessible to debuggers and loggers. Example:: raise with_context( exc = ValueError('Failed validation.'), context = { 'errors': filter_runner.get_context(True), }, ) If the exception already has a ``context`` attribute, it will be reassigned to ``exc.context['_original_context']``. """ if not hasattr(exc, 'context'): exc.context = {} if not isinstance(exc.context, MutableMapping): exc.context = {'_original_context': exc.context} exc.context.update(context) return exc
from ecs.workflow.models import NODE_TYPE_CATEGORY_SUBGRAPH, NODE_TYPE_CATEGORY_CONTROL, NODE_TYPE_CATEGORY_ACTIVITY from ecs.tasks.models import TaskType def make_dot(g, prefix='', embed_subgraphs=True, subgraph_id=''): common_edge_attrs = {'fontname': 'Helvetica', 'style': 'bold'} common_node_attrs = {'fontname': 'Helvetica'} statements = [ 'label="{}"'.format(g.content_type.model_class().__name__), 'labelloc="t"' 'fontname="Helvetica"', 'fontsize="20"', 'style="bold"', ] def make_attrs(attrs): return ", ".join('%s="%s"' % (opt, val) for opt, val in attrs.items()) def add_node(node_id, **options): attrs = common_node_attrs.copy() attrs.update(options) statements.append('%sN_%s [%s]' % (prefix, node_id, make_attrs(attrs))) def add_edge(from_id, to_id, **options): attrs = common_node_attrs.copy() attrs.update(options) statements.append('%sN_%s -> %sN_%s [%s]' % (prefix, from_id, prefix, to_id, make_attrs(attrs))) add_node('%sStart' % subgraph_id, shape='circle', label='Start') add_node('%sEnd' % subgraph_id, shape='doublecircle', label='End') nodes = g.nodes.all() for node in nodes: try: group = node.tasktype.group.name if node.tasktype.group else '' except TaskType.DoesNotExist: group = '' label = '{%s: %s | %s}' % (node.pk, node.name or " ".join(node.node_type.name.rsplit('.', 1)[-1].split('_')), group) opts = { 'label': label, 'style': 'rounded', 'shape': 'record', } if node.is_end_node: add_edge(node.pk, '%sEnd' % subgraph_id) if node.is_start_node: add_edge('%sStart' % subgraph_id, node.pk) if node.node_type.category == NODE_TYPE_CATEGORY_SUBGRAPH: statements.append(node.node_type.graph.dot(subgraph_id=node.pk)) continue if node.node_type.category == NODE_TYPE_CATEGORY_CONTROL: opts.update({'color': 'lightblue'}) if node.node_type.category == NODE_TYPE_CATEGORY_ACTIVITY: opts.update({'color': 'greenyellow'}) add_node(node.pk, **opts) for node in nodes: for edge in node.edges.all(): attrs = {} if edge.deadline: attrs['style'] = 'dotted' if edge.guard_id: label = " ".join(edge.guard.implementation.rsplit('.', 1)[-1].split('_')) add_node("E%s" % edge.pk, label='%s%s: %s' % (edge.negated and '~' or '', edge.guard_id, label), shape='plaintext') add_edge(edge.from_node_id, "E%s" % edge.pk, arrowhead='none', **attrs) add_edge("E%s" % edge.pk, edge.to_node_id, **attrs) else: add_edge(edge.from_node_id, edge.to_node_id, **attrs) if subgraph_id: graphtype = 'subgraph %sN%s' % (prefix, subgraph_id) statements.insert(0, 'rank=same') else: graphtype = 'digraph' return "%s {\n\t%s;\n}" % (graphtype, ";\n\t".join(statements))
# Copyright 2016 Autodesk Inc. # # 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 module is used to create a GLUT popup menu. The main menu contains items for different graphics representions of certain entities from a DNA structure design: virtual helices, strands, domains, etc. A submenu of entity names is defined for each representation. The entity names are used to selectively visualize components of the DNA structure design. The submenus for virtual helix representions contain integer IDs for the helix 'number' obtained from the caDNAno design file. Most submenus contain 'All' and 'None' entries that are used to selected all or none of the entities from the submenu. When an entity from a submenu is selected its visibility is modified depending on its current selection state. If it is already selected then it is set to be hidden. The entity name in the submenu is updated with a '+' if it not selected. Menu selection generates a command that is then executed to perform the visualization operation. """ import inspect import logging from .helix import VisHelixRepType from .strand import VisStrandRepType from .atomic_struct import VisAtomicStructureRepType import model try: from OpenGL.GL import * from OpenGL.GLU import * from OpenGL.GLUT import * except ImportError as e: print "Could not import PyOpenGL." raise e class VisMenuItem: """ This class defines the two menu items that appear in all submenus. """ ALL = "All" NONE = "None" class VisMenuEntity: """ This class defines the entities that can be visualized. """ UNKNOWN = 'unknown' ATOMIC_STRUCTURE = 'atomic_structure' HELIX = 'helix' MODEL = 'model' STRAND = 'strand' class VisMenuItemSelect(object): """ This class is used to process the selection of submenu item for a given representation from submenus. Attributes: selection (VisRepMenu): The menu selection object that this representation is part of. rep (String): The representation this menu item selects. The string is from the values of representation type classes (e.g. VisHelixRepType). When a submenu item it selected the callback method in this class is called with the item number selected. The item number and the representation is then used to process the selection of an entiy of that representation. """ def __init__(self, selection, rep): self.selection = selection self.rep = rep def callback(self, item): """ This function is the callback given to a GLUT menu. Arguments: item (int): The menu item number of the selection. This function is executed when an item from a menu is selected. """ self.selection.select_rep(item, self.rep) return 0 class VisMenuMainEntry(object): """ This class is used to manage the main menu selections. """ def __init__(self, name, menu_id, callback): self.name = name self.menu_id = menu_id self.callback = callback self.selected = False class VisSubMenu(object): """ This class is used to manage a submenu for a set of representations. Attributes: menu (VisMenu): The menu object used to manage the visualizer menus. command_generate (Method): The function used to generate commands for this representation. rep_names (List[String]): The list of representation names displayed in the submenu. selections (Dict[bool]): The dictionary of boolean values that determine if a representation is selected. It is indexed by representation name. menuID (int): The menu ID created by GLUT when creating a menu using glutCreateMenu. he menu ID is used to set the current menu when updating submenu names when selected. The menu selections for a set of representation are used to selectively visualize representations without entities (e.g. helix, strand, etc.). A submenu is created for representations that can be selected. A boolean is stored for all the representations. If the boolean is True the the representation is seleced and is visible. """ def __init__(self, menu, menu_name, rep, command_generate): """ Initialize a VisSubMenu object. Arguments: menu (VisMenu): The menu object used to manage the visualizer menus. menu_name (String): The name of the submenu. rep (Class): The class that defines an entity's representation types (e.g. VisModelRepType). command_generate (Method): The function used to generate commands for this representation. The type names for a given representaion are obtained from its class attibutes. A dict stores a boolean value for each representaion. A submenu is created with an item for each representaion. A VisMenuItemSelect object is used to handle the callbacks from the submenu. """ self.menu = menu self.menu_name = menu_name self.command_generate = command_generate # Get the representation type names. attributes = inspect.getmembers(rep, lambda a:not(inspect.isroutine(a))) rep_types = [a for a in attributes if not(a[0].startswith('__') and a[0].endswith('__'))] # Create the selections dict, set callbacks and create submenus for each rep. self.selections = {} self.menuIDs = {} self.rep_names = [] for rep_type in rep_types: rep = rep_type[1] if rep == VisMenuEntity.UNKNOWN: continue self.selections[rep] = False self.rep_names.append(rep) #__for rep_type in rep_types menu_item_select = VisMenuItemSelect(self, menu_name) self.menuID = self.menu._add_submenu_item(menu_item_select.callback, self.rep_names) def add_submenu(self): glutAddSubMenu(self.menu_name, self.menuID) def select_rep(self, item, rep): """ Select a representation. Arguments: rep (String): The name of the representation selected. item (int): The menu item number representation selected. Selecting a representation will cause it to be displayed or hidden from view. A command is generated and then executed to perform the visualization of the representation. """ selected_rep = self.rep_names[item] show = self.menu.set_selections(self.rep_names, self.selections, item, rep, self.menuID) self.command_generate(selected_rep, show) def update_selection(self, name, rep): """ Update a selection for the given representation. This is used to update a menu from a command. Arguments: name (String): Not used. rep (String): The name of the representation. """ for item,rep_name in enumerate(self.rep_names): if rep_name == rep: show = self.menu.set_selections(self.rep_names, self.selections, item, rep, self.menuID) break #__for item,rep_name in enumerate(self.rep_names) class VisRepMenu(object): """ This class is used to manage the submenus for a set of representations. Attributes: menu (VisMenu): The menu object used to manage the visualizer menus. names (List[String]): The list of entity names displayed for the representation's submenu. command_generate (Method): The function used to generate commands for this representation. selections (Dict[Dict[bool]]): The dictionary of boolean values that determine if an entity of representation is selected. It is indexed by representation name and entity name. menuIDs (Dict[int]): The dictionary of the menu IDs created by GLUT when creating a menu using glutCreateMenu. The menu IDs are used to set the current menu when updating submenu names when selected. The menu selections for a given representation are used to selectively visualize the individual entities (helix, strand, etc.) of a model. Submenus are create for each representation containing entity names (e.g. helix number or strand name) that can be selected. A boolean is stored for all the entities defined for each representation. If the boolean is True the the entity is seleced and is visible. """ def __init__(self, menu, rep, entity_names, command_generate): """ Initialize a VisRepMenu object. Arguments: menu (VisMenu): The menu object used to manage the visualizer menus. entity_names (List[String]): The list of entity names displayed for the representation's submenu. rep (Class): The class that defines an entity's representation types (e.g. VisHelixRepType). command_generate (Method): The function used to generate commands for this representation. The type names for a given representaion are obtained from its class attibutes. A dict of dicts stores a boolean value for each entity of each representaion. A submenu is created for each representaion and uses VisMenuItemSelect object to handle the callbacks from the submenu. """ self.menu = menu self.entity_names = entity_names self.command_generate = command_generate # Get the representation type names. attributes = inspect.getmembers(rep, lambda a:not(inspect.isroutine(a))) rep_types = [a for a in attributes if not(a[0].startswith('__') and a[0].endswith('__'))] # Create the selections dict, set callbacks and create submenus for each rep. self.selections = {} self.menuIDs = {} for rep_type in rep_types: rep = rep_type[1] if rep == VisMenuEntity.UNKNOWN: continue self.selections[rep] = {} # Set the selection flag for each entity name. for name in entity_names: self.selections[rep][name] = False menu_item_select = VisMenuItemSelect(self, rep) self.menuIDs[rep] = self.menu._add_submenu_item(menu_item_select.callback, entity_names) #__for rep_type in rep_types def add_submenu(self, rep, menu_name): """ Create a GLUT representation submenu. Arguments: rep (String): The name of a representation, taken from a representation class such as VisHelixRepType. menu_name (String): The menu name that is displayed in the popup menu. """ glutAddSubMenu(menu_name, self.menuIDs[rep]) def select_rep(self, item, rep): """ Select a representation. Arguments: rep (String): The name of the representation selected. item (int): The menu item number representation selected. Selecting a representation will cause it to be displayed or hidden from view. A command is generated and then executed to perform the visualization of the representation. """ selected_name = self.entity_names[item] show = self.menu.set_selections(self.entity_names, self.selections[rep], item, rep, self.menuIDs[rep]) self.command_generate(selected_name, rep, show) def update_selection(self, name, rep): """ Update a selection for the given representation and name. This is used to update a menu from a command. Arguments: name (String): The entity name. rep (String): The name of the representation. """ for item,entity_name in enumerate(self.entity_names): if entity_name == name: show = self.menu.set_selections(self.entity_names, self.selections[rep], item, rep, self.menuIDs[rep]) break #__for item,item_name in enumerate(self.entity_names) class VisMenu(object): """ This class is used to manage the visualizer menus. Attributes: atomic_struct_names (List[String]): The list of atomic structure names to be displayed for the atomic structure representation submenus. delayed_updates (List[Tuple]): A list of menu selection updates from commands that are applied after the graphics loop has started. We neeed to do this because there seemed to be some menu state issues. helix_names (List[String]): The list of helix entity names to be displayed for the helix representation submenus. item_count (int): The count of main menu items. This is used to index menu_items[]. menu_items (List[int]): The list of main (non-submenu) menu items. selections (Dict[VisRepMenu]): The dict of selection objects used to manage menu selections. strand_names (List[String]): The list of strand names to be displayed for the strand representation submenus. updated (bool): If True then the menu has been updated by commands. The visualizer popup menu displays menus for different graphics representions of certain entities from a DNA structure design: virtual helices, strands, domains, etc. A submenu of entity names is defined for each representation. The entity names are used to selectively visualize components of the DNA structure design. Entity selections are managed using a the 'selections' attribute, a dictionary of VisRepMenu objects. """ menu_items = {} item_count = 1 updated = False delayed_updates = [] delayed_submenu_updates = [] selected_symbol = " - on" def __init__(self, command, helix_names, strand_names, atomic_struct_names): self.command = command self.helix_names = helix_names self.strand_names = strand_names self.atomic_struct_names = atomic_struct_names self.selections = {} self._logger = logging.getLogger(__name__) self._create_menu_items() def _create_menu_items(self): """ Create items for the popup menu. To create the menu items we first create items for the submenus for each representation and with the associated entity names. The main menu items are then created using titles for each representation. """ # Create model sub-menu. model_select = VisSubMenu(self, "Model", model.VisModelRepType, self.command.generate_model_cmd) self.selections[VisMenuEntity.MODEL] = model_select # Create helix sub-menus. helix_select = VisRepMenu(self, VisHelixRepType, self.helix_names, self.command.generate_helix_cmd) self.selections[VisMenuEntity.HELIX] = helix_select # Create strand sub-menus. strand_select = VisRepMenu(self, VisStrandRepType, self.strand_names, self.command.generate_strand_cmd) self.selections[VisMenuEntity.STRAND] = strand_select # Create atomic stucture sub-menus. if len(self.atomic_struct_names) > 2: atomic_select = VisRepMenu(self, VisAtomicStructureRepType, self.atomic_struct_names, self.command.generate_atomic_struct_cmd) self.selections[VisMenuEntity.ATOMIC_STRUCTURE] = atomic_select else: self.selections[VisMenuEntity.ATOMIC_STRUCTURE] = None atomic_select = None # Create main menu items. Most of the main menu items will be a submenu of entity names. self.menu = glutCreateMenu(self.main_callback) # Create the submenus for atomic structure representations. if atomic_select: atomic_select.add_submenu(VisAtomicStructureRepType.BACKBONE, "Atomic structure backbone") atomic_select.add_submenu(VisAtomicStructureRepType.BONDS, "Atomic structure bonds") atomic_select.add_submenu(VisAtomicStructureRepType.CHECK, "Atomic structure check") # Create the submenu for the model menu. This only has model representations for its submenu. model_select.add_submenu() # Create the submenus for strand representations. strand_select.add_submenu(VisStrandRepType.CONNECTORS, "Strand connectors") strand_select.add_submenu(VisStrandRepType.DOMAINS, "Strand domains") strand_select.add_submenu(VisStrandRepType.FRAMES, "Strand frames") strand_select.add_submenu(VisStrandRepType.PATH, "Strand path") strand_select.add_submenu(VisStrandRepType.TEMPERATURE, "Strand temperature") # Create the submenus for the virtual helix representations. helix_select.add_submenu(VisHelixRepType.BASE_POSITIONS, "Virtual helix base positions") helix_select.add_submenu(VisHelixRepType.COORDINATE_FRAMES, "Virtual helix coordinate frames") helix_select.add_submenu(VisHelixRepType.DESIGN_CROSSOVERS, "Virtual helix design crossovers") helix_select.add_submenu(VisHelixRepType.COORDINATES, "Virtual helix DNA helix P coordinates") helix_select.add_submenu(VisHelixRepType.DOMAINS, "Virtual helix domains") helix_select.add_submenu(VisHelixRepType.GEOMETRY, "Virtual helix geometry") helix_select.add_submenu(VisHelixRepType.INSERTS_DELETES, "Virtual helix inserts and deletes") helix_select.add_submenu(VisHelixRepType.MAXIMAL_CROSSOVERS,"Virtual helix maximal crossovers") helix_select.add_submenu(VisHelixRepType.PAIRED_GEOMETRY, "Virtual helix paired geometry") helix_select.add_submenu(VisHelixRepType.STRANDS, "Virtual helix strands") helix_select.add_submenu(VisHelixRepType.TEMPERATURE, "Virtual helix temperature") # Add the quit menu item. self._add_menu_item("Quit", self.quit_callback) glutAttachMenu(GLUT_RIGHT_BUTTON) @staticmethod def help(): """ Display the visualizer menu help. """ print(" ====================== Menu =========================") print(" Atomic structure backbone - Show the atomic structure backbone P atoms for the selected strand.") print(" Atomic structure bonds - Show the atomic structure atom bonds as lines and DNA base planes as filled polygons.") print(" Atomic structure check - Check the bond lengths between backbone P atoms. Bond lengths that are too short or long are highlighted.") print(" Model - Bounding box - Show the bounding box of the design.") print(" Geometry - Show the geometry of the design representing dsDNA as solid cylinders.") print(" Virtual helix numbers - Show the cadnano virtual helix numbering displayed on in a plane on the bounding box.") print(" Virtual helix projection - Show the virtual helix axes projected onto two planes on the bounding box.") print(" Strand domains - Show the domains defined for a strand.") print(" Strand frames - Show the coordinate frames for a strand. An arrow shows the direction of a strand within a virtual helix.") print(" Strand geometry - Show a strand as a series of straight lines. A sphere shows the start of the strand.") print(" Strand temperature - Show the melting temperature for domains defined for a strand.") print(" Virtual helix base positions - Show the location of base positions along a helix axis.") print(" Virtual helix coordinate frames - Show the virtual helix coordinate frames. An arrow on the helix axis shows its polarity.") print(" Virtual helix design crossovers - Show the virtual helix crossovers present in the design.") print(" Virtual helix geometry - Show the virtual helix as a transparent cylinder.") print(" Virtual helix DNA helix P coordinates - Show the approximate coordinates of P atoms of a DNA helix.") print(" Virtual helix domains - Show the domains defined for the virtual helix.") print(" Virtual helix inserts and deletes - Show the locations of base insertions and deletions for the virtual helix.") print(" Virtual helix strands - Show the strands that start in a virtual helix.") print(" Virtual helix temperature - Show the melting temperature for domains defined for the virtual helix.") print("\n") def update(self): """ Update the menu with selections given from commands. This is needed because the menus must be defined and GLUT finished initializing before the menus can be updated with selections from commands. """ if self.updated: return self.updated = True for update in self.delayed_submenu_updates: method = update[0] type = update[1] name = update[2] rep = update[3] method(type, name, rep) for update in self.delayed_updates: method = update[0] type = update[1] name = update[2] rep = update[3] method(type, rep) def _add_menu_item(self, name, callback): """ Add a main menu item that does not have a submenu. """ glutAddMenuEntry(name, VisMenu.item_count) entry = VisMenuMainEntry(name, VisMenu.item_count, callback) VisMenu.menu_items[VisMenu.item_count] = entry VisMenu.item_count += 1 def _add_submenu_item(self, callback, name_list): """ Add a submenu item. Arguments: callback (Function): The callback function executed when an item is seleced from the submenu. name_list(List[String]): The list of entity names for the submenu. """ sub_menu = glutCreateMenu(callback) n = 0 for name in name_list: glutAddMenuEntry(str(name), n) n += 1 VisMenu.item_count += 1 return sub_menu def update_selection(self, type, rep, delay=False): """ Update a selection for the given rep name. """ if delay: self.delayed_updates.append((self.update_selection, type, None, rep)) return self.selections[type].update_selection(type,rep) def update_submenu_selection(self, type, name, rep, delay=False): """ Update a selection for the given rep and entity name. Arguments: type (String): The menu entity type taken from VisMenuEntity. name (String): The entity name to update. rep (String): The representation name. delay (bool): If False then delay the menu update until the graphics has been initialized. """ if delay: self.delayed_submenu_updates.append((self.update_submenu_selection, type, name, rep)) return self.selections[type].update_selection(name,rep) def set_selections(self, names, selections, item, rep, menu=-1): """ Set the selection of an entity submenu item. Arguments: names (List[String]): The list of submenu entity names. selections (Dict[String]): A dict of boolean values for each entity name. item (int): The number of the submenu item selected. rep (String): The name of the representation. menu (int): The submenu ID. If -1 then don't set the menu. Returns a boolean indicating the entity's visibility. When an entity from a submenu is selected its visibility is modified depending on its current selection state. If it is already selected then it is set to be hidden. The entity name in the submenu is updated with a '+' if it not selected. """ name = names[item] cmenu = glutGetMenu() if menu != -1: glutSetMenu(menu) # Select all of the submenu entities. if name == VisMenuItem.ALL: for item,name in enumerate(names): if item < 2: continue entry_name = name + VisMenu.selected_symbol selections[name] = True glutChangeToMenuEntry(item+1, entry_name, item) # Select none of the submenu entities. elif name == VisMenuItem.NONE: for item,name in enumerate(names): if item < 2: continue selections[name] = False glutChangeToMenuEntry(item+1, name, item) # Select an entity from the submenu entities. else: if not selections[name]: entry_name = name + VisMenu.selected_symbol selections[name] = True else: entry_name = name selections[name] = False glutChangeToMenuEntry(item+1, entry_name, item) return selections[name] def main_callback(self, item): """ This is the callback function for menus that are not submenus. """ entry = VisMenu.menu_items[item] VisMenu.menu_items[item].callback(entry) return 0 def quit_callback(self, entry): """ This the callback function for the 'quit' menu selection. """ sys.exit(0)
# This file is part of BenchExec, a framework for reliable benchmarking: # https://github.com/sosy-lab/benchexec # # SPDX-FileCopyrightText: 2007-2020 Dirk Beyer <https://www.sosy-lab.org> # # SPDX-License-Identifier: Apache-2.0 import benchexec.util as util import benchexec.tools.template import benchexec.result as result class Tool(benchexec.tools.template.BaseTool): def executable(self): return util.find_executable("satabs") def version(self, executable): return self._version_from_tool(executable) def name(self): return "SatAbs" def determine_result(self, returncode, returnsignal, output, isTimeout): output = "\n".join(output) if "VERIFICATION SUCCESSFUL" in output: assert returncode == 0 status = result.RESULT_TRUE_PROP elif "VERIFICATION FAILED" in output: assert returncode == 10 status = result.RESULT_FALSE_REACH elif returnsignal == 9: status = "TIMEOUT" elif returnsignal == 6: if "Assertion `!counterexample.steps.empty()' failed" in output: status = "COUNTEREXAMPLE FAILED" # TODO: other status? else: status = "OUT OF MEMORY" elif returncode == 1 and "PARSING ERROR" in output: status = "PARSING ERROR" else: status = "FAILURE" return status
# -*- coding: utf-8 -*- # # djangoplicity-contacts # Copyright (c) 2007-2011, European Southern Observatory (ESO) # All rights reserved. # # 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 European Southern Observatory 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 ESO ``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 ESO 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 # """ Helper classes for iterating over data in tabular data located in CSV/Excel files. An important restriction for all tabular data files are that they must have * a header row and, * unique column names. Usage example:: # First construct an importer. >>> importer = CSVImporter( filename='/path/to/csvfile.csv' ) >>> importer = ExcelImporter( filename='/path/to/excelfile.xls', sheet=1 ) # Iterate over rows in tabular data >>> for row in importer: ... for c in importer.keys(): # Iterator over each column ... print row[c] # Extract column and iterate over all values >>> column_values = importer['SomeColumnName'] >>> for val in column_values: ... print val # Get number of rows in tabular data >>> number_of_rows = len(importer) # Check if column exists in importer >>> test = 'SomeColumnName' in importer # Get all column names in importer >>> header = importer.keys() # Get a list of all column values >>> header = importer.values() # >>> for column,values in importer.items() ... print column ... for v in values: ... print v """ import codecs import csv import xlrd # ============ # Base classes # ============ class Importer( object ): """ Abstract base class for all importers """ def __init__( self, *args, **kwargs ): self.cols = {} def __iter__( self ): return ImportIterator() def __len__( self ): return 0 def __getitem__( self, value ): raise KeyError def __contains__( self, value ): """ Test if column name exists in excel file. """ return value in self.cols.keys() def keys( self ): """ Return all column names. """ return self.cols.keys() def items( self ): return [( c, self[c] ) for c in self.keys()] def values( self ): return [self[c] for c in self.keys()] class ImportIterator( object ): """ Abstract base class for all import iterators. """ def __iter__( self ): return self def next( self ): raise StopIteration # ============== # Excel Importer # ============== class ExcelImporter( Importer ): """ Importer for Excel files. Defaults: sheet = 0 """ def __init__( self, filename=None, sheet=0 ): """ Initialize importer by opening the Excel file and reading out a specific sheet. """ self.sheet = xlrd.open_workbook( filename ).sheet_by_index( sheet ) i = 0 self._header = [] self.cols = {} for c in self.sheet.row_values( 0 ): if isinstance(c, basestring): c = c.strip() self.cols[c] = i self._header.append( ( c, None ) ) i += 1 def header( self ): """ Return the Excel header for this file. This can be used as input to ExcelExporter. """ import copy return copy.copy( self._header ) def __len__( self ): """ Return the number of rows in the excel file. """ return self.sheet.nrows - 1 def __getitem__( self, value ): """ Return all values for a specific column """ return self.sheet.col_values( self.cols[value] )[1:] def row( self, rowidx ): """ Return a specific row in the table. """ rowidx = rowidx + 1 data = {} for colname, idx in self.cols.items(): data[colname] = self.sheet.cell( rowx=rowidx, colx=idx ).value return data def __iter__( self ): return ExcelImportIterator( self ) class ExcelImportIterator( ImportIterator ): """ Iterator object for ExcelImporter """ def __init__( self, excelimporter ): self.excelimporter = excelimporter self.rowidx = -1 def next( self ): self.rowidx += 1 if self.rowidx >= len( self.excelimporter ): raise StopIteration return self.excelimporter.row( self.rowidx ) # ============== # CSV Importer # ============== class CSVImporter( Importer ): """ Importer for CSV files. Defaults: encoding='utf-8' dialect=csv.excel """ def __init__( self, filename=None, **kwargs ): """ Initialise importer by opening the Excel file and reading out a specific sheet. """ f = open( filename, 'r' ) self.csvreader = _UnicodeReader( f, **kwargs ) # Parse header i = 0 self.cols = {} header = self.csvreader.next() for c in header: if isinstance(c, basestring): c = c.strip() self.cols[c] = i i += 1 # Build dictionary of tabular data self._rows = [] for r in self.csvreader: data = {} for c, i in self.cols.items(): try: data[c] = r[i] except IndexError: data[c] = None self._rows.append( data ) def __len__( self ): """ Return the number of rows in the excel file. """ return len( self._rows ) def __getitem__( self, value ): """ Return all values for a specific column """ column = [] for r in self._rows: column.append( r[value] ) return column def row( self, rowidx ): """ Return a specific row in the table. """ return self._rows[rowidx] def __iter__( self ): return self._rows.__iter__() class _UTF8Recoder: """ Iterator that reads an encoded stream and reencodes the input to UTF - 8 """ def __init__( self, f, encoding ): self.reader = codecs.getreader( encoding )( f ) def __iter__(self): return self def next( self ): return self.reader.next().encode( "utf-8" ) class _UnicodeReader( object ): """ A CSV reader which will iterate over lines in the CSV file "f", which is encoded in the given encoding. """ def __init__( self, f, dialect=csv.excel, encoding="utf-8", **kwds ): f = _UTF8Recoder( f, encoding ) self.reader = csv.reader( f, dialect=dialect, **kwds ) def next(self): row = self.reader.next() return [unicode( s, "utf-8" ) for s in row] def __iter__(self): return self
class LineModel: def __init__(self, conductors): self._resistance = {} self._geometric_mean_radius = {} self._wire_positions = {} self._phases = {} for phase, (r, gmr, (x, y)) in conductors.items(): self._resistance[phase] = r self._geometric_mean_radius[phase] = gmr self._wire_positions[phase] = (x, y) self._phases = sorted(list(conductors.keys())) @property def resistance(self): return self._resistance @property def geometric_mean_radius(self): return self._geometric_mean_radius @property def wire_positions(self): return self._wire_positions @property def phases(self): return self._phases
from Generators import Primes def GetFactors(n): '''Returns all factors of n greater than 0''' if n < 1: return [] return [x for x in range(1, n + 1) if n % x == 0] def GetPrimeFactors(n): ''' Returns all prime factors for n. Return value is a dictionary of {prime: cardinality}. The cardinality is the number of times the prime appears in the factor tree. Ex: The prime factors of 72 are [2, 2, 2, 3, 3], and the return value of this function would be {2: 3, 3: 2}. ''' primeFactors = {} while n >= 2: for x in Primes(): if n % x == 0: n /= x if x in primeFactors: primeFactors[x] += 1 else: primeFactors[x] = 1 break return primeFactors def GetCountOfFactors(n): '''Returns the number of factors of n''' primeFactors = GetPrimeFactors(n) if len(primeFactors) == 0: return 0 else: numFactors = 1 for c in map(lambda cardinality: cardinality + 1, primeFactors.values()): numFactors *= c return numFactors if __name__ == '__main__': import unittest class Tests(unittest.TestCase): def test_GetFactors(self): cases = [{'n': -1, 'answer': []}, {'n': 0, 'answer': []}, {'n': 1, 'answer': [1]}, {'n': 2, 'answer': [1, 2]}, {'n': 28, 'answer': [1,2,4,7,14,28]}, {'n': 72, 'answer': [1, 2, 3, 4, 6, 8, 9, 12, 18, 24, 36, 72]}] for case in cases: n = case['n'] expected = case['answer'] with self.subTest(n=n, expected=expected): answer = GetFactors(n) self.assertEqual(expected, answer) def test_GetPrimeFactors(self): cases = [{'n': -1, 'answer': {}}, {'n': 1, 'answer': {}}, {'n': 72, 'answer': {2: 3, 3: 2}}, {'n': 13195, 'answer': {5: 1, 7: 1, 13: 1, 29: 1}}] for case in cases: n = case['n'] expected = case['answer'] with self.subTest(n=n, expected=expected): answer = GetPrimeFactors(n) self.assertEqual(expected, answer) def test_GetCountOfFactors(self): cases = [{'n': -1, 'answer': 0}, {'n': 1, 'answer': 0}, {'n': 72, 'answer': 12}, {'n': 28, 'answer': 6}, {'n': 13195, 'answer': 16}] for case in cases: n = case['n'] expected = case['answer'] with self.subTest(n=n, expected=expected): answer = GetCountOfFactors(n) self.assertEqual(expected, answer) unittest.main()
from PIL import Image import numpy as np import os import argparse import sys from sklearn import metrics def mae(folder,path): if folder: orginal_image = os.path.join(folder,path) else: orginal_image = path sal=Image.open(orginal_image) GT=Image.open(os.path.join("Ground_Truth",path)) GT.load() width, height = GT.size GT_pixel = np.asarray(GT) Sal_pixel = np.asarray(sal) sal_img = Sal_pixel GT_img = GT_pixel # print(GT_img) # print(sal_img) final = metrics.mean_absolute_error(sal_img, GT_img,sample_weight=None, multioutput='uniform_average') print("MAE:",end=' ') print(round(final/(width*height)*100,2),end='%') print() return round(final/(width*height)*100,2) def main(args): fin=0.0 if args.rgb_folder: rgb_pths = os.listdir(args.rgb_folder) count = 1 for rgb_pth in rgb_pths: print("IMAGE:",end = ' ') print(count) count=count+1 fin=fin+mae(args.rgb_folder,rgb_pth) print() #print(os.path.join(args.rgb_folder,rgb_pth)) fin=fin/count else: fin=mae(None,args.rgb) print("Final MAE: ",round(fin,2),end='%') print() def parse_arguments(argv): parser = argparse.ArgumentParser() parser.add_argument('--rgb', type=str, help='input rgb',default = None) parser.add_argument('--rgb_folder', type=str, help='input rgb',default = None) parser.add_argument('--gpu_fraction', type=float, help='how much gpu is needed, usually 4G is enough',default = 1.0) return parser.parse_args(argv) if __name__ == '__main__': main(parse_arguments(sys.argv[1:]))
# Biogeme's Swissmetro example: https://github.com/michelbierlaire/biogeme/blob/master/examples/swissmetro/01logit.ipynb # this code is copied and lightly modified from the Biogeme example, which is under the Biogeme open-source license import pandas as pd import biogeme.database as db import biogeme.biogeme as bio from biogeme import models from biogeme.expressions import Beta from benchmarkable import Benchmarkable import os class BiogemeSwissmetro(Benchmarkable): def setup(self): # Read the data df = pd.read_csv( os.path.join( os.path.dirname(__file__), "../../../test/data/biogeme_swissmetro.dat" ), sep="\t", ) self.database = db.Database("swissmetro", df) self.dv = dv = self.database.variables # Removing some observations exclude = ( (dv["PURPOSE"] != 1) * (dv["PURPOSE"] != 3) + (dv["CHOICE"] == 0) ) > 0 self.database.remove(exclude) # Definition of new variables self.SM_COST = dv["SM_CO"] * (dv["GA"] == 0) self.TRAIN_COST = dv["TRAIN_CO"] * (dv["GA"] == 0) self.CAR_AV_SP = dv["CAR_AV"] * (dv["SP"] != 0) self.TRAIN_AV_SP = dv["TRAIN_AV"] * (dv["SP"] != 0) self.TRAIN_TT_SCALED = dv["TRAIN_TT"] / 100 self.TRAIN_COST_SCALED = self.TRAIN_COST / 100 self.SM_TT_SCALED = dv["SM_TT"] / 100 self.SM_COST_SCALED = self.SM_COST / 100 self.CAR_TT_SCALED = dv["CAR_TT"] / 100 self.CAR_CO_SCALED = dv["CAR_CO"] / 100 def measurable(self): # for comparability with DCM.jl, do all model setup here, but create # derived variables outside the timed loop # Parameters to be estimated ASC_CAR = Beta("ASC_CAR", 0, None, None, 0) ASC_TRAIN = Beta("ASC_TRAIN", 0, None, None, 0) ASC_SM = Beta("ASC_SM", 0, None, None, 1) B_TIME = Beta("B_TIME", 0, None, None, 0) B_COST = Beta("B_COST", 0, None, None, 0) # Definition of the utility functions V1 = ASC_TRAIN + B_TIME * self.TRAIN_TT_SCALED + B_COST * self.TRAIN_COST_SCALED V2 = ASC_SM + B_TIME * self.SM_TT_SCALED + B_COST * self.SM_COST_SCALED V3 = ASC_CAR + B_TIME * self.CAR_TT_SCALED + B_COST * self.CAR_CO_SCALED # Associate utility functions with the numbering of alternatives V = {1: V1, 2: V2, 3: V3} # Associate the availability conditions with the alternatives av = {1: self.TRAIN_AV_SP, 2: self.dv["SM_AV"], 3: self.CAR_AV_SP} # Definition of the model. This is the contribution of each # observation to the log likelihood function. logprob = models.loglogit(V, av, self.dv["CHOICE"]) # Create the Biogeme object self.biogeme = bio.BIOGEME(self.database, logprob) self.biogeme.modelName = "01logit" # actually do the estimation return self.biogeme.estimate()
from __future__ import unicode_literals from frappe import _ def get_data(): return [ { "label": _("Reports"), "items": [ { "type": "report", "is_query_report": True, "name": "Process Flow", "doctype": "Product Line Process Flow" }, { "type": "report", "is_query_report": True, "name": "FMEA", "doctype": "Product Line Process Flow" }, { "type": "report", "is_query_report": True, "name": "Control Plan", "doctype": "Product Line Process Flow" } ] }, { "label": _("Shopfloor Activities"), "items": [ { "type": "doctype", "name": "Audit", "description": _("Product, Process and Control Plan Audits") }, { "type": "doctype", "name": "Start Up", "description": _("All Start Up's") }, { "type": "doctype", "name": "First Off", "description": _("All First Off's") }, { "type": "doctype", "name": "Hundred Percent Inspection", "description": _("100% Inspection") }, { "type": "doctype", "name": "Quality Defect", "description": _("Quality Defect") }, { "type": "doctype", "name": "Shift Handover", "description": _("Shift Handover") }, { "type": "doctype", "name": "Production Output", "description": _("Production Output Logs") }, { "type": "doctype", "name": "SPC Measurement", "description": _("SPC Measurement") }, { "type": "doctype", "name": "Jig Maintenance Request", "description": _("Jig Maintenance Requests") } ] }, { "label": _("Process Engineering"), "items": [ { "type": "doctype", "name": "Customer Requirement", "description": _("Define Customer Requirements") }, { "type": "doctype", "name": "Product Line Process Flow", "description": _("Define the Process Flows for Product Lines") }, { "type": "doctype", "name": "Step", "description": _("Define Process Steps") } ] }, { "label": _("Actions"), "items": [ { "type": "doctype", "name": "Project", "description": _("Open Item Lists") }, { "type": "doctype", "name": "Task", "description": _("Tasks List") } ] }, { "label": _("Setup"), "items": [ { "type": "doctype", "name": "Start Up First Off List Template", "description": _("Build Templates for First Off's and Start Up's") }, { "type": "doctype", "name": "Defect Reason Code", "description": _("Defect Reason Codes") }, { "type": "doctype", "name": "Hundred Percent Inspection Requirement", "description": _("100% Inspection Requirement") }, { "type": "doctype", "name": "SPC Requirement", "description": _("SPC Requirement") }, { "type": "doctype", "name": "Workstation", "description": _("List of Workstations") }, { "type": "doctype", "name": "Workstation Entity", "description": _("Workstation Entities") } ] }, { "label": _("Shopfloor Screens"), "items": [ { "type": "page", "name": "screen_summary", "description": _("Start Up's and First Off's for the day") }, { "type": "page", "name": "screen_output", "description": _("Production Output for the day") }, { "type": "page", "name": "screen_quality", "description": _("Quality Defects for the day") } ] } ]
from rest_framework import serializers from profiles_api import models class HelloSerializer(serializers.Serializer): """Serializes a name field for testing our APIView""" name = serializers.CharField(max_length=10) class UserProfileSerializer(serializers.ModelSerializer): """serialize a user profile obj""" class Meta: model = models.UserProfile #fields is to create access for our model fields = ('id','email','name','password') extra_kwargs = { 'password':{ 'write_only':True, 'style':{'input_type':'password'} #this will make the typing of pw into astricks } } #this is to override the default create, so password is hashed def create(self,validated_data): """create a new user with pw hash""" #so i'm assuming objects refer to UPM in userprofiles user = models.UserProfile.UPM.create_user( email = validated_data['email'], name = validated_data['name'], password = validated_data['password'] ) return user #this is to override the default update, so password is hashed def update(self,instance,validated_data): if 'password' in validated_data: #pop it out and hash it password = validated_data.pop('password') instance.set_password(password) #if you dont super, then it becomes recurssion. lol return super().update(instance,validated_data) class ProfileFeedSerializer(serializers.ModelSerializer): class Meta: model = models.ProfileFeedItem fields = ('id','user_profile','status_text','created_on') extra_kwargs = {'user_profile':{'read_only':True}} #id and created on is auto read only
import json import re import urllib2 import copy api_server = kobitonServer['url'] username = kobitonServer['username'] api_key = kobitonServer['apiKey'] group_options = { 'cloudDevices': isCloud, 'privateDevices': isPrivate, 'favoriteDevices': isFavorite } platform_options = { 'Android': isAndroid, 'iOS': isiOs } devices = {} def get_devices_list(): filtered_list = {} try: devices_list = get_all_devices() filtered_list = devices_filter(group_options, devices_list) except Exception as error: print 'Failed to get devices list ' + str(error) finally: return filtered_list def get_all_devices(): auth_token = create_basic_authentication_token() url = api_server + '/v1/devices' if groupId: url += '?groupId=' + groupId header = { "Content-Type": "application/json", "Authorization": auth_token } request = urllib2.Request(url, headers=header) response = urllib2.urlopen(request) body = response.read() return json.loads(body) def create_basic_authentication_token(): s = username + ":" + api_key return "Basic " + s.encode("base64").rstrip() def devices_filter(group_options, devices_list=[]): classified_list = {} for option in group_options: if group_options[option]: for device in devices_list[option]: if device_matches_filter(device) and classified_list.get(device['udid']) is None: classified_list.update(serialize_device(device)) return classified_list def device_matches_filter(device): return device_is_available(device) and device_has_matching_platform(device) and device_contains_name(device) def device_is_available(device): return device['isOnline'] and not device['isBooked'] def device_has_matching_platform(device): return platform_options[device['platformName']] def device_contains_name(device): if not model: return True search_list = model.split(',') devices_name = filter(lambda x: x != '' and not x.isspace(), search_list) if len(devices_name) == 0: return True for name in devices_name: if re.search(name, device['deviceName'], re.IGNORECASE): return True return False def serialize_device(device): if device['isCloud']: deviceGroup = 'cloudDevices' else: deviceGroup = 'privateDevices' device_data = str().join([device['deviceName'], ' | ', device['platformName'], ' | ', device['platformVersion'], ' | ', deviceGroup]) serialized_device = { device['udid']: str(device_data) } return serialized_device devices = get_devices_list()
import sys from basket import Basket from product_store import ProductStore from offer_store import OfferStore class CheckoutSystem(object): def __init__(self): self._product_store = ProductStore.load_from_config_file() self._offer_store = OfferStore.load_from_config_file() self._basket = None def _handle_add_item_to_basket(self): """ adds an item in the products to basket""" if not self._basket: self._basket = Basket(self._product_store, self._offer_store) item = input(""" Enter Product Id:{}""".format( self._product_store.product_ids())) if not self._basket.add(item): print("Error: Invalid Id") def _handle_view_basket(self): """ Displays current bill, if items exists """ self._print_receipt() def _handle_checkout_basket(self): self._print_receipt() self._basket = None def _print_receipt(self): if self._basket: response = self._basket.status() header = """ \n``` Item\t\tPrice ----\t\t----- """ footer = "```" total = 0 print(header) for item in response: total = total + item['price_after_discount'] code = item['code'] offer_name = item['offer_name'] quantity = item['quantity'] discount = item['discount'] price = item['price'] items_discounted = item['items_discounted'] for i in range(items_discounted): print("{}\t\t {}".format(code, price)) print("\t{}\t-{}".format(offer_name, discount)) for i in range(quantity-items_discounted): print("{}\t\t {}".format(code, price)) print("--------------------------------") print("\t\t {}".format(round(total,2))) print(footer) else: print("Info: Nothing in Basket") def _menu(self): """ Main Menu For Farmers Market """ print() choice = input(""" Farmers Market Checkout System) A: Add item V: View Basket C: Checkout Q: Quit/Log Out Please enter your choice: """) if choice == 'A' or choice == 'a': self._handle_add_item_to_basket() elif choice == 'V' or choice == 'v': self._handle_view_basket() elif choice == 'C' or choice == 'c': self._handle_checkout_basket() elif choice == 'Q' or choice == 'q': sys.exit(0) def start(self): while True: self._menu() if __name__ == '__main__': system = CheckoutSystem() system.start()
import docx2txt from fulltext.util import BaseBackend from fulltext.util import exiftool_title from fulltext.util import assert_cmd_exists class Backend(BaseBackend): def check(self, title): if title: assert_cmd_exists('exiftool') # Note: docx2txt does not support encoding. def handle_fobj(self, path_or_file): return docx2txt.process(path_or_file) # They are equivalent, process() uses zipfile.ZipFile(). handle_path = handle_fobj def handle_title(self, f): return exiftool_title(f, self.encoding, self.encoding_errors)
import socket from threading import Thread byte = 0 status = "" sock = socket.socket() conn = None address_file = "" ip = "" port = 0 def set_file(): global conn f = open(address_file, 'r') str_code = str(f.read()) f.close() conn.send(str_code.encode("utf-8")) print() print("CODE:",str_code) print() def get_file(): global conn str_code = conn.recv(byte) print() print("CODE:",str_code.decode("utf-8")) print() f = open(address_file, 'w') f.write(str_code.decode("utf-8")) f.close() def info(): print() print("STATUS:",status) print("IP:",ip) print("PORT:",port) print("ADDRESS:",address_file) print("BYTE:",byte) print() def work(): global byte global address_file while True: i = str(input('@~')) if i == "set": set_file() elif i == "get": get_file() elif i == "info": info() elif i == "setbyte": byte = int(input("Byte:")) elif i == "setaddress": address_file = str(input("Address file:")) elif i == "exit": break elif i == "help": print() print("set") print("get") print("info") print("setbyte") print("setaddress") print() print() def server(): global ip global port global conn print("#######Server#######") ip = str(input("IP: ")) port = int(input("PORT: ")) sock.bind((ip, port)) sock.listen(1) connect_list = [] address_list = [] index = 0 passwort = "hackers" exit = 0 print("Server created.") print("Connecting...") conn, add = sock.accept() print("Connected.") work() # t = Thread(target=recv, args=(conn,)) # t.start() # while True: # i = input() # conn.send(i.encode("utf-8")) def client(): global ip global port global conn print("#######Client#######") ip = str(input("IP: ")) port = int(input("PORT: ")) conn = socket.socket() conn.connect((ip , port)) print("Client created.") print("Connecting...") print("Connected.") work() def main(): global address_file global byte global status address_file = str(input("Address file:")) byte = int(input("Byte:")) msg = input("s/c ?: ") if msg == "s": status = "server" server() elif msg == "c": status = "client" client() if __name__ == '__main__': print("hello") main()
from django.db import models from django.conf import settings from lib.manager import QuerySetBase class ChernobylModelAbstract(models.Model): """ chernobyl base models """ objects = QuerySetBase.as_manager() class Meta: abstract = True ordering = ['-id'] def save(self, *args, **kwargs): # override the save for check every time the field if settings.DEBUG: self.full_clean() super(ChernobylModelAbstract, self).save(*args, **kwargs) return self @property def get_commit_id(self): # need it for generate commit return self.id class LanguageAbstract(ChernobylModelAbstract): """ models for internationalisation all content with language is small idetifation for lang ( ex : french are fr ) """ lang_choices = settings.LANGUAGES lang_default = settings.LANGUAGES_DEFAULT language = models.CharField(choices=lang_choices, max_length=4) class Meta: abstract = True ordering = ['language', '-id'] class DateAbstract(ChernobylModelAbstract): have_seconds = models.BooleanField(default=False) have_minutes = models.BooleanField(default=False) have_hours = models.BooleanField(default=False) class Meta(ChernobylModelAbstract.Meta): abstract = True
# encoding: utf-8 # --------------------------------------------------------------------------- # Copyright (C) 2008-2014, IPython Development Team and Enthought, Inc. # Distributed under the terms of the BSD License. See COPYING.rst. # --------------------------------------------------------------------------- """ Utility functions for dealing with DistArray metadata. """ from __future__ import division import operator from itertools import product from functools import reduce from numbers import Integral from collections import Sequence, Mapping import numpy from distarray import utils from distarray.externals.six import next from distarray.externals.six.moves import map, zip # Register numpy integer types with numbers.Integral ABC. Integral.register(numpy.signedinteger) Integral.register(numpy.unsignedinteger) class InvalidGridShapeError(Exception): """ Exception class when the grid shape is incompatible with the distribution or communicator. """ pass class GridShapeError(Exception): """ Exception class when it is not possible to distribute the processes over the number of dimensions. """ pass def check_grid_shape_preconditions(shape, dist, comm_size): """ Verify various distarray parameters are correct before making a grid_shape. """ if comm_size < 1: raise ValueError("comm_size >= 1 not satisfied, comm_size = %s" % (comm_size,)) if len(shape) != len(dist): raise ValueError("len(shape) == len(dist) not satisfied, len(shape) =" " %s and len(dist) = %s" % (len(shape), len(dist))) if any(i < 0 for i in shape): raise ValueError("shape must be a sequence of non-negative integers, " "shape = %s" % (shape,)) if any(i not in ('b', 'c', 'n', 'u') for i in dist): raise ValueError("dist must be a sequence of 'b', 'n', 'c', 'u' " "strings, dist = %s" % (dist,)) def check_grid_shape_postconditions(grid_shape, shape, dist, comm_size): """ Check grid_shape for reasonableness after creating it. """ if not (len(grid_shape) == len(shape) == len(dist)): raise ValueError("len(gird_shape) == len(shape) == len(dist) not " "satisfied, len(grid_shape) = %s and len(shape) = %s " "and len(dist) = %s" % (len(grid_shape), len(shape), len(dist))) if any(gs < 1 for gs in grid_shape): raise ValueError("all(gs >= 1 for gs in grid_shape) not satisfied, " "grid_shape = %s" % (grid_shape,)) if any(gs != 1 for (d, gs) in zip(dist, grid_shape) if d == 'n'): raise ValueError("all(gs == 1 for (d, gs) in zip(dist, grid_shape) if " "d == 'n', not satified dist = %s and grid_shape = " "%s" % (dist, grid_shape)) if any(gs > s for (s, gs) in zip(shape, grid_shape) if s > 0): raise ValueError("all(gs <= s for (s, gs) in zip(shape, grid_shape) " "if s > 0) not satisfied, shape = %s and grid_shape " "= %s" % (shape, grid_shape)) if reduce(operator.mul, grid_shape, 1) > comm_size: raise ValueError("reduce(operator.mul, grid_shape, 1) <= comm_size not" " satisfied, grid_shape = %s product = %s and " "comm_size = %s" % ( grid_shape, reduce(operator.mul, grid_shape, 1), comm_size)) def normalize_grid_shape(grid_shape, shape, dist, comm_size): """Adds 1s to grid_shape so it has `ndims` dimensions. Validates `grid_shape` tuple against the `dist` tuple and `comm_size`. """ def check_normalization_preconditions(grid_shape, dist): if any(i < 0 for i in grid_shape): raise ValueError("grid_shape must be a sequence of non-negative " "integers, grid_shape = %s" % (grid_shape,)) if len(grid_shape) > len(dist): raise ValueError("len(grid_shape) <= len(dist) not satisfied, " "len(grid_shape) = %s and len(dist) = %s" % (len(grid_shape), len(dist))) check_grid_shape_preconditions(shape, dist, comm_size) check_normalization_preconditions(grid_shape, dist) ndims = len(shape) grid_shape = tuple(grid_shape) + (1,) * (ndims - len(grid_shape)) if len(grid_shape) != len(dist): msg = "grid_shape's length (%d) not equal to dist's length (%d)" raise InvalidGridShapeError(msg % (len(grid_shape), len(dist))) if reduce(operator.mul, grid_shape, 1) > comm_size: msg = "grid shape %r not compatible with comm size of %d." raise InvalidGridShapeError(msg % (grid_shape, comm_size)) return grid_shape def make_grid_shape(shape, dist, comm_size): """ Generate a `grid_shape` from `shape` tuple and `dist` tuple. Does not assume that `dim_data` has `proc_grid_size` set for each dimension. Attempts to allocate processes optimally for distributed dimensions. Parameters ---------- shape : tuple of int The global shape of the array. dist: tuple of str dist_type character per dimension. comm_size : int Total number of processes to distribute. Returns ------- dist_grid_shape : tuple of int Raises ------ GridShapeError if not possible to distribute `comm_size` processes over number of dimensions. """ check_grid_shape_preconditions(shape, dist, comm_size) distdims = tuple(i for (i, v) in enumerate(dist) if v != 'n') ndistdim = len(distdims) if ndistdim == 0: dist_grid_shape = () elif ndistdim == 1: # Trivial case: all processes used for the one distributed dimension. if comm_size >= shape[distdims[0]]: dist_grid_shape = (shape[distdims[0]],) else: dist_grid_shape = (comm_size,) elif comm_size == 1: # Trivial case: only one process to distribute over! dist_grid_shape = (1,) * ndistdim else: # Main case: comm_size > 1, ndistdim > 1. factors = utils.mult_partitions(comm_size, ndistdim) if not factors: # Can't factorize appropriately. raise GridShapeError("Cannot distribute array over processors.") reduced_shape = [shape[i] for i in distdims] # Reorder factors so they match the relative ordering in reduced_shape factors = [utils.mirror_sort(f, reduced_shape) for f in factors] # Pick the "best" factoring from `factors` according to which matches # the ratios among the dimensions in `shape`. rs_ratio = _compute_grid_ratios(reduced_shape) f_ratios = [_compute_grid_ratios(f) for f in factors] distances = [rs_ratio - f_ratio for f_ratio in f_ratios] norms = numpy.array([numpy.linalg.norm(d, 2) for d in distances]) index = norms.argmin() # we now have the grid shape for the distributed dimensions. dist_grid_shape = tuple(int(i) for i in factors[index]) # Create the grid_shape, all 1's for now. grid_shape = [1] * len(shape) # Fill grid_shape in the distdim slots using dist_grid_shape it = iter(dist_grid_shape) for distdim in distdims: grid_shape[distdim] = next(it) out_grid_shape = tuple(grid_shape) check_grid_shape_postconditions(out_grid_shape, shape, dist, comm_size) return out_grid_shape def _compute_grid_ratios(shape): shape = tuple(map(float, shape)) n = len(shape) ratios = [] for (i, j) in product(range(n), range(n)): if i < j: ratios.append(shape[i] / shape[j]) return numpy.array(ratios) def normalize_dist(dist, ndim): """Return a tuple containing dist-type for each dimension. Parameters ---------- dist : str, list, tuple, or dict ndim : int Returns ------- tuple of str Contains string distribution type for each dim. Examples -------- >>> normalize_dist({0: 'b', 3: 'c'}, 4) ('b', 'n', 'n', 'c') """ if isinstance(dist, Sequence): return tuple(dist) + ('n',) * (ndim - len(dist)) elif isinstance(dist, Mapping): return tuple(dist.get(i, 'n') for i in range(ndim)) else: raise TypeError("Dist must be a string, tuple, list or dict") def _start_stop_block(size, proc_grid_size, proc_grid_rank): """Return `start` and `stop` for a regularly distributed block dim.""" nelements = size // proc_grid_size if size % proc_grid_size != 0: nelements += 1 start = proc_grid_rank * nelements if start > size: start = size stop = start + nelements if stop > size: stop = size return start, stop def distribute_block_indices(dd): """Fill in `start` and `stop` in dim dict `dd`.""" if ('start' in dd) and ('stop' in dd): return else: dd['start'], dd['stop'] = _start_stop_block(dd['size'], dd['proc_grid_size'], dd['proc_grid_rank']) def distribute_cyclic_indices(dd): """Fill in `start` in dim dict `dd`.""" if 'start' in dd: return else: dd['start'] = dd['proc_grid_rank'] def distribute_indices(dd): """Fill in index related keys in dim dict `dd`.""" dist_type = dd['dist_type'] try: {'n': lambda dd: None, 'b': distribute_block_indices, 'c': distribute_cyclic_indices}[dist_type](dd) except KeyError: msg = "dist_type %r not supported." raise TypeError(msg % dist_type) def normalize_dim_dict(dd): """Fill out some degenerate dim_dicts.""" # TODO: Fill out empty dim_dict alias here? if dd['dist_type'] == 'n': dd['proc_grid_size'] = 1 dd['proc_grid_rank'] = 0 def _positivify(index, size): """Return a positive index offset from a Sequence's start.""" if index is None or index >= 0: return index elif index < 0: return size + index def _check_bounds(index, size): """Check if an index is in bounds. Assumes a positive index as returned by _positivify. """ if not 0 <= index < size: raise IndexError("Index %r out of bounds" % index) def tuple_intersection(t0, t1): """Compute intersection of a (start, stop, step) and a (start, stop) tuple. Assumes all values are positive. Parameters ---------- t0: 2-tuple or 3-tuple Tuple of (start, stop, [step]) representing an index range t1: 2-tuple Tuple of (start, stop) representing an index range Returns ------- 3-tuple or None A tightly bounded interval. """ if len(t0) == 2 or t0[2] is None: # default step is 1 t0 = (t0[0], t0[1], 1) start0, stop0, step0 = t0 start1, stop1 = t1 if start0 < start1: n = int(numpy.ceil((start1 - start0) / step0)) start2 = start0 + n * step0 else: start2 = start0 max_stop = min(t0[1], t1[1]) if (max_stop - start2) % step0 == 0: n = ((max_stop - start2) // step0) - 1 else: n = (max_stop - start2) // step0 stop2 = (start2 + n * step0) + 1 return (start2, stop2, step0) if stop2 > start2 else None def positivify(index, size): """Check that an index is within bounds and return a positive version. Parameters ---------- index : Integral or slice size : Integral Raises ------ IndexError for out-of-bounds indices """ if isinstance(index, Integral): index = _positivify(index, size) _check_bounds(index, size) return index elif isinstance(index, slice): start = _positivify(index.start, size) stop = _positivify(index.stop, size) # slice indexing doesn't check bounds return slice(start, stop, index.step) else: raise TypeError("`index` must be of type Integral or slice.") def sanitize_indices(indices, ndim=None, shape=None): """Classify and sanitize `indices`. * Wrap naked Integral, slice, or Ellipsis indices into tuples * Classify result as 'value' or 'view' * Expand `Ellipsis` objects to slices * If the length of the tuple-ized `indices` is < ndim (and it's provided), add slice(None)'s to indices until `indices` is ndim long * If `shape` is provided, call `positivify` on the indices Raises ------ TypeError If `indices` is other than Integral, slice or a Sequence of these IndexError If len(indices) > ndim Returns ------- 2-tuple of (str, n-tuple of slices and Integral values) """ if isinstance(indices, Integral): rtype, sanitized = 'value', (indices,) elif isinstance(indices, slice) or indices is Ellipsis: rtype, sanitized = 'view', (indices,) elif all(isinstance(i, Integral) for i in indices): rtype, sanitized = 'value', indices elif all(isinstance(i, Integral) or isinstance(i, slice) or i is Ellipsis for i in indices): rtype, sanitized = 'view', indices else: msg = ("Index must be an Integral, a slice, or a sequence of " "Integrals and slices.") raise IndexError(msg) if Ellipsis in sanitized: if ndim is None: raise RuntimeError("Can't call `sanitize_indices` on Ellipsis " "without providing `ndim`.") # expand first Ellipsis diff = ndim - (len(sanitized) - 1) filler = (slice(None),) * diff epos = sanitized.index(Ellipsis) sanitized = sanitized[:epos] + filler + sanitized[epos + 1:] # remaining Ellipsis objects are just converted to slices def replace_ellipsis(idx): if idx is Ellipsis: return slice(None) else: return idx sanitized = tuple(replace_ellipsis(i) for i in sanitized) if ndim is not None: diff = ndim - len(sanitized) if diff < 0: raise IndexError("Too many indices.") if diff > 0: # allow incomplete indexing rtype = 'view' sanitized = sanitized + (slice(None),) * diff if shape is not None: sanitized = tuple(positivify(i, size) for (i, size) in zip(sanitized, shape)) return (rtype, sanitized) def normalize_reduction_axes(axes, ndim): if axes is None: axes = tuple(range(ndim)) elif not isinstance(axes, Sequence): axes = (positivify(axes, ndim),) else: axes = tuple(positivify(a, ndim) for a in axes) return axes # Functions for getting a size from a dim_data for each dist_type. # n def non_dist_size(dim_data): """ Get a size from a nondistributed dim_data. """ return dim_data['size'] # b def block_size(dim_data): """ Get a size from a block distributed dim_data. """ stop = dim_data['stop'] start = dim_data['start'] return stop - start # Choose cyclic or block cyclic based on block size. This is necessary # because they have the same dist type character. def c_or_bc_chooser(dim_data): """ Get a size from a cyclic or block-cyclic dim_data. """ block_size = dim_data.get('block_size', 1) if block_size == 1: return cyclic_size(dim_data) elif block_size > 1: return block_cyclic_size(dim_data) else: raise ValueError("block_size %s is invalid" % block_size) # c def cyclic_size(dim_data): """ Get a size from a cyclic dim_data. """ global_size = dim_data['size'] grid_rank = dim_data.get('proc_grid_rank', 0) grid_size = dim_data.get('proc_grid_size', 1) return (global_size - 1 - grid_rank) // grid_size + 1 # c def block_cyclic_size(dim_data): """ Get a size from a block-cyclic dim_data. """ global_size = dim_data['size'] block_size = dim_data.get('block_size', 1) grid_size = dim_data.get('proc_grid_size', 1) grid_rank = dim_data.get('proc_grid_rank', 0) global_nblocks, partial = divmod(global_size, block_size) local_partial = partial if grid_rank == 0 else 0 local_nblocks = (global_nblocks - 1 - grid_rank) // grid_size + 1 return local_nblocks * block_size + local_partial # u def unstructured_size(dim_data): """ Get a size from an unstructured dim_data. """ return len(dim_data.get('indices', None)) def size_from_dim_data(dim_data): """ Get a size from a dim_data. """ return size_chooser(dim_data['dist_type'])(dim_data) def size_chooser(dist_type): """ Get a function from a dist_type. """ chooser = {'n': non_dist_size, 'b': block_size, 'c': c_or_bc_chooser, 'u': unstructured_size} return chooser[dist_type] def shapes_from_dim_data_per_rank(ddpr): # ddpr = dim_data_per_rank """ Given a dim_data_per_rank object, return the shapes of the localarrays. This requires no communication. """ # create the list of shapes shape_list = [] for rank_dd in ddpr: shape = [] for dd in rank_dd: shape.append(size_from_dim_data(dd)) shape_list.append(tuple(shape)) return shape_list # ---------------------------------------------------------------------------- # Redistribution-related utilities. # ---------------------------------------------------------------------------- def _accum(start, next): return tuple(s * next for s in start) + (next,) def strides_from_shape(shape): return reduce(_accum, tuple(shape[1:]) + (1,), ()) def ndim_from_flat(flat, strides): res = [] for st in strides: res.append(flat // st) flat %= st return tuple(res) def _squeeze(accum, next): last = accum[-1] if not last: return [next] elif last[-1] != next[0]: return accum + [next] elif last[-1] == next[0]: return accum[:-1] + [(last[0], next[-1])] def condense(intervals): intervals = reduce(_squeeze, intervals, [[]]) return intervals # ---------------------------------------------------------------------------- # `apply` related utilities. # ---------------------------------------------------------------------------- def arg_kwarg_proxy_converter(args, kwargs, module_name='__main__'): from importlib import import_module module = import_module(module_name) # convert args # In some situations, like redistributing a DistArray from one set of # targets to a disjoint set, the source and destination DistArrays (and # associated LocalArrays) are in different communicators with different # targets. In those cases, it is possible for a proxy object for one # DistArray to not refer to anything on this target. In that case, # `a.dereference()` raises an `AttributeError`. We intercept that here and # assign `None` instead. args = list(args) for i, a in enumerate(args): if isinstance(a, module.Proxy): try: args[i] = a.dereference() except AttributeError: args[i] = None args = tuple(args) # convert kwargs for k in kwargs.keys(): val = kwargs[k] if isinstance(val, module.Proxy): try: kwargs[k] = val.dereference() except AttributeError: kwargs[k] = None return args, kwargs
# # Copyright (c) 2014-2018 Wind River Systems, Inc. # # SPDX-License-Identifier: Apache-2.0 # from wsme import types as wsme_types import wsmeext.pecan as wsme_pecan import pecan import six from pecan import rest from sm_api.api.controllers.v1 import base from sm_api.api.controllers.v1 import collection from sm_api.api.controllers.v1 import link from sm_api.api.controllers.v1 import utils from sm_api.common import exception from sm_api.common import log from sm_api import objects LOG = log.get_logger(__name__) class NodesCommand(wsme_types.Base): path = wsme_types.text value = wsme_types.text op = wsme_types.text class NodesCommandResult(wsme_types.Base): # Host Information hostname = wsme_types.text state = wsme_types.text # Command path = wsme_types.text value = wsme_types.text op = wsme_types.text # Result error_code = wsme_types.text error_details = wsme_types.text class Nodes(base.APIBase): id = int name = wsme_types.text administrative_state = wsme_types.text operational_state = wsme_types.text availability_status = wsme_types.text ready_state = wsme_types.text links = [link.Link] "A list containing a self link and associated nodes links" def __init__(self, **kwargs): self.fields = list(objects.sm_node.fields) for k in self.fields: setattr(self, k, kwargs.get(k)) @classmethod def convert_with_links(cls, rpc_nodes, expand=True): minimum_fields = ['id', 'name', 'administrative_state', 'operational_state', 'availability_status', 'ready_state'] fields = minimum_fields if not expand else None nodes = Nodes.from_rpc_object( rpc_nodes, fields) return nodes class NodesCollection(collection.Collection): """API representation of a collection of nodes.""" nodes = [Nodes] "A list containing nodes objects" def __init__(self, **kwargs): self._type = 'nodes' @classmethod def convert_with_links(cls, nodes, limit, url=None, expand=False, **kwargs): collection = NodesCollection() collection.nodes = [ Nodes.convert_with_links(ch, expand) for ch in nodes] url = url or None collection.next = collection.get_next(limit, url=url, **kwargs) return collection # class Nodess(wsme_types.Base): # nodes = wsme_types.text class NodesController(rest.RestController): def _get_nodes(self, marker, limit, sort_key, sort_dir): limit = utils.validate_limit(limit) sort_dir = utils.validate_sort_dir(sort_dir) marker_obj = None if marker: marker_obj = objects.sm_node.get_by_uuid( pecan.request.context, marker) nodes = pecan.request.dbapi.sm_node_get_list(limit, marker_obj, sort_key=sort_key, sort_dir=sort_dir) return nodes @wsme_pecan.wsexpose(Nodes, six.text_type) def get_one(self, uuid): try: rpc_sg = objects.sm_node.get_by_uuid(pecan.request.context, uuid) except exception.ServerNotFound: return None return Nodes.convert_with_links(rpc_sg) @wsme_pecan.wsexpose(NodesCollection, six.text_type, int, six.text_type, six.text_type) def get_all(self, marker=None, limit=None, sort_key='name', sort_dir='asc'): """Retrieve list of nodes.""" nodes = self._get_nodes(marker, limit, sort_key, sort_dir) return NodesCollection.convert_with_links(nodes, limit, sort_key=sort_key, sort_dir=sort_dir) @wsme_pecan.wsexpose(NodesCommandResult, six.text_type, body=NodesCommand) def put(self, hostname, command): raise NotImplementedError() @wsme_pecan.wsexpose(NodesCommandResult, six.text_type, body=NodesCommand) def patch(self, hostname, command): raise NotImplementedError()
from rest_framework import serializers class HelloSerializer(serializers.Serializer): name=serializers.CharField(max_length=10)
class Solution: def reverseStr(self, s: str, k: int) -> str: return "".join([s[i:i+k][::-1] + s[i+k:i+2*k] for i in range(0, len(s), 2*k)])
# extensions.py file # Import the necessary package and module from flask_sqlalchemy import SQLAlchemy from flask_jwt_extended import JWTManager from flask_uploads import UploadSet, IMAGES from flask_caching import Cache from flask_limiter import Limiter from flask_limiter.util import get_remote_address # Create an instance of SQLAlchemy object db = SQLAlchemy() # Create an instance of Flask JWT Extended object jwt = JWTManager() # Create an instance of Flask Upload object image_set = UploadSet('images', IMAGES) # Create an instance of Flask Cache object cache = Cache() # Create an instance of Limiter object limiter = Limiter(key_func=get_remote_address)
#!/usr/bin/env python ############################################################################# ### BindingDb Utilities ### http://www.bindingdb.org/bind/BindingDBRESTfulAPI.jsp ### XML output only. ############################################################################# import sys,os,re,argparse,time,logging # from .. import bindingdb # ############################################################################## if __name__=='__main__': epilog = "Example Uniprot IDs: P35355, Q8HZR1" API_HOST='www.bindingdb.org' API_BASE_PATH='/axis2/services/BDBService' ops = ["get_ligands_by_uniprot", "get_targets_by_compound"] parser = argparse.ArgumentParser( description='BindingDb REST API client', epilog=epilog) parser.add_argument("op", choices=ops, help='OPERATION (select one)') parser.add_argument("--i", dest="ifile", help="input file, Uniprot IDs") parser.add_argument("--ids", help="Uniprot IDs") parser.add_argument("--o", dest="ofile", help="output (TSV)") parser.add_argument("--smiles", help="compound query") parser.add_argument("--ic50_max", type=int, default=100) parser.add_argument("--sim_min", type=float, default=0.85) parser.add_argument("--api_host", default=API_HOST) parser.add_argument("--api_base_path", default=API_BASE_PATH) parser.add_argument("-v", "--verbose", action="count", default=0) args = parser.parse_args() logging.basicConfig(format='%(levelname)s:%(message)s', level=(logging.DEBUG if args.verbose>1 else logging.INFO)) api_base_url='http://'+args.api_host+args.api_base_path fout = open(args.ofile, "w+") if args.ofile else sys.stdout t0=time.time() ids=[] if args.ifile: fin = open(args.ifile) while True: line = fin.readline() if not line: break ids.append(line.rstrip()) fin.close() elif args.ids: ids = re.split('[, ]+', args.ids.strip()) if len(ids)>0: logging.info('Input IDs: %d'%(len(ids))) if args.op=="get_ligands_by_uniprot": bindingdb.Utils.GetLigandsByUniprot(api_base_url, ids, args.ic50_max, fout) elif args.op=="get_targets_by_compound": bindingdb.Utils.GetTargetsByCompound(api_base_url, args.smiles, args.sim_min, fout) else: parser.error('Operation invalid: {}'.format(args.op)) logging.info('Elapsed time: %s'%(time.strftime('%Hh:%Mm:%Ss', time.gmtime(time.time()-t0))))
num = int(input('Digite um número para ver sua tabuada: ')) for c in range(0,11): print(f'{num} x {c:2} = {num*c}')
from nodeconductor.core import NodeConductorExtension class InsightsExtension(NodeConductorExtension): class Settings: NODECONDUCTOR_INSIGHTS = { 'PROJECTED_COSTS_EXCESS': 20, } @staticmethod def django_app(): return 'nodeconductor_plus.insights' @staticmethod def celery_tasks(): from datetime import timedelta return { 'check-services': { 'task': 'nodeconductor.insights.check_services', 'schedule': timedelta(minutes=60), 'args': () }, 'check-customers': { 'task': 'nodeconductor.insights.check_customers', 'schedule': timedelta(hours=24), 'args': (), }, }
advec = (wind_vec * -grad_vec).sum(axis=-1) print(advec.shape)
from maintain_frontend import main from flask_testing import TestCase from unit_tests.utilities import Utilities from unittest.mock import patch, MagicMock from flask import url_for, g from maintain_frontend.dependencies.session_api.session import Session from maintain_frontend.constants.permissions import Permissions from maintain_frontend.models import LightObstructionNoticeItem from unit_tests.mock_data.mock_land_charges import get_mock_lon_item uploaded_form_b_response = { "form-b": [ { "bucket": "lon", "file_id": "form_b_id", "reference": "lon/form_b_id?subdirectories=test_sub_directory", "subdirectory": "test_sub_directory" } ] } uploaded_form_a_response = { "form-a": [ { "bucket": "lon", "file_id": "form_a_id", "reference": "lon/form_a_id?subdirectories=test_sub_directory", "subdirectory": "test_sub_directory" } ] } class TestCancelLONCharge(TestCase): def create_app(self): main.app.testing = True Utilities.mock_session_cookie_flask_test(self) return main.app @patch('maintain_frontend.view_modify_lon.cancel_lon.LocalLandChargeService') def test_cancel_get_not_found(self, mock_service): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.cancel_lon] mock_response = MagicMock() mock_service.return_value.get_by_charge_number.return_value = mock_response mock_response.status_code = 404 response = self.client.get(url_for('cancel_lon.cancel_get', charge_id='LLC-TST')) self.assert_status(response, 302) @patch('maintain_frontend.view_modify_lon.cancel_lon.LocalLandChargeService') def test_cancel_get_found(self, mock_service): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.cancel_lon] mock_response = MagicMock() mock_service.return_value.get_by_charge_number.return_value = mock_response mock_response.status_code = 200 mock_response.json.return_value = [{"item": get_mock_lon_item(), "display_id": "LLC-TST"}] response = self.client.get(url_for('cancel_lon.cancel_get', charge_id='LLC-TST')) self.assert_status(response, 200) @patch('maintain_frontend.view_modify_lon.cancel_lon.CancelLonValidator') @patch('maintain_frontend.view_modify_lon.cancel_lon.LocalLandChargeService') def test_cancel_upload_post_failed_validation(self, mock_service, mock_validator): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.cancel_lon] mock_response = MagicMock() mock_service.return_value.get_by_charge_number.return_value = mock_response mock_response.status_code = 200 mock_response.json.return_value = [{"item": get_mock_lon_item(), "display_id": "LLC-TST"}] validation_errors = {"error": "Something went wrong"} mock_validator.validate.return_value.errors = validation_errors response = self.client.post(url_for('cancel_lon.cancel_post', charge_id='LLC-TST')) self.assert_status(response, 400) self.assert_context('validation_errors', validation_errors) @patch('maintain_frontend.view_modify_lon.cancel_lon.StorageAPIService') @patch('maintain_frontend.view_modify_lon.cancel_lon.CancelLonValidator') @patch('maintain_frontend.view_modify_lon.cancel_lon.LocalLandChargeService') @patch('maintain_frontend.view_modify_lon.cancel_lon.request') def test_cancel_upload_post_success(self, mock_request, mock_llc_service, mock_validator, mock_storage_service): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.cancel_lon] mock_response = MagicMock() mock_llc_service.return_value.get_by_charge_number.return_value = mock_response mock_response.status_code = 200 mock_response.json.return_value = [{"item": get_mock_lon_item(), "display_id": "LLC-TST"}] mock_request.form.getlist.return_value = ["Form B"] mock_storage_service.return_value.save_files.return_value.json.return_value = uploaded_form_b_response mock_validator.validate.return_value.errors = None g.session = self.mock_session response = self.client.post(url_for('cancel_lon.cancel_post', charge_id='LLC-TST')) expected_charge_document_state = { "form-a": uploaded_form_a_response["form-a"], "form-b": uploaded_form_b_response["form-b"], } print(g.session.add_lon_charge_state.documents_filed) self.assertEqual(g.session.add_lon_charge_state.documents_filed, expected_charge_document_state) self.assert_status(response, 302) @patch('maintain_frontend.view_modify_lon.cancel_lon.AuditAPIService') @patch('maintain_frontend.view_modify_lon.cancel_lon.MaintainApiService') @patch('maintain_frontend.view_modify_lon.cancel_lon.LocalLandChargeService') def test_cancel_confirm_success(self, mock_service, mock_maintain_api, mock_audit): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.cancel_lon] self.mock_session.add_lon_charge_state = LightObstructionNoticeItem() g.session = self.mock_session mock_response = MagicMock() mock_service.return_value.get_by_charge_number.return_value = mock_response mock_response.status_code = 200 mock_response.json.return_value = [{"item": get_mock_lon_item(), "display_id": "LLC-TST"}] response = self.client.post(url_for('cancel_lon.confirm', charge_id='LLC-TST')) mock_maintain_api.update_charge.assert_called_with(g.session.add_lon_charge_state) mock_audit.audit_event.assert_called_with('Cancelling charge', supporting_info={'id': 'LLC-TST'}) self.assert_status(response, 302) self.assertRedirects(response, url_for('cancel_lon.charge_cancelled', charge_id='LLC-TST'))
# Copyright 2015 Cisco Systems, 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. import time import logging from functools import wraps from oslo_config import cfg from flask import request import flask from yabgp.common import constants as common_cons LOG = logging.getLogger(__name__) def log_request(f): @wraps(f) def decorated_function(*args, **kwargs): LOG.info('API request url %s', request.url) if request.query_string: LOG.info('API query string %s', request.query_string) LOG.info('API request method %s', request.method) if request.method == 'POST': LOG.info('API POST data %s', request.json) LOG.debug('API request environ %s', request.environ) return f(*args, **kwargs) return decorated_function def makesure_peer_establish(f): @wraps(f) def decorator(*args, **kwargs): value = kwargs['peer_ip'] if _ready_to_send_msg(peer_ip=value): return f(*args, **kwargs) else: return flask.jsonify({ 'status': False, 'code': "Please check the peer's state" }) return decorator def get_peer_conf_and_state(peer_ip=None): """ get peer configuration and state :param peer_ip: peer ip address :return: """ one_peer_state = {key: cfg.CONF.bgp.running_config[key] for key in [ 'remote_as', 'remote_addr', 'local_as', 'local_addr', 'capability']} fsm = cfg.CONF.bgp.running_config['factory'].fsm.state one_peer_state['fsm'] = common_cons.stateDescr[fsm] if fsm == common_cons.ST_ESTABLISHED: one_peer_state['uptime'] = time.time() - cfg.CONF.bgp.running_config['factory'].fsm.uptime else: one_peer_state['uptime'] = 0 return {'peer': one_peer_state} def get_peer_version(action, peer_ip=None): """ get version :param peer_ip:ip: peer ip address :param action: :return: """ if action == "send": return { 'version': cfg.CONF.bgp.running_config['factory'].fsm.protocol.send_version } elif action == "received": return { 'version': cfg.CONF.bgp.running_config['factory'].fsm.protocol.receive_version, } else: return { 'status': False, 'code': ' please check action in url' } def get_peer_msg_statistic(peer_ip=None): """ get peer send and receive message statistic :param peer_ip: peer ip address :return: """ return { 'send': cfg.CONF.bgp.running_config['factory'].fsm.protocol.msg_sent_stat, 'receive': cfg.CONF.bgp.running_config['factory'].fsm.protocol.msg_recv_stat, } def _ready_to_send_msg(peer_ip): """ check if the peer is ready to send message :param peer_ip: peer ip address :return: if is ready, return is True, or False """ peer_state = get_peer_conf_and_state() if peer_state.get('peer').get('fsm') == common_cons.stateDescr[common_cons.ST_ESTABLISHED]: return True return False def send_route_refresh(peer_ip, afi, safi, res): """ send route refresh messages :param peer_ip: peer ip address :return: the sending results """ try: if cfg.CONF.bgp.running_config['factory'].fsm.protocol.send_route_refresh( afi=afi, safi=safi, res=res): return { 'status': True } else: return { 'status': False, 'code': 'address family unsupported, afi=%s,safi=%s' % (afi, safi) } except Exception as e: LOG.error(e) return { 'status': False, 'code': 'failed when send this message out' } def send_update(peer_ip, attr, nlri, withdraw): """ send update message :param peer_ip: peer ip address :return: """ if cfg.CONF.bgp.running_config['factory'].fsm.protocol.send_update({ 'attr': attr, 'nlri': nlri, 'withdraw': withdraw}): return { 'status': True } else: return { 'status': False, 'code': 'failed when send this message out' } def manual_start(peer_ip): ''' manual start BGP session :param peer_ip: peer ip address :return: ''' try: res = cfg.CONF.bgp.running_config['factory'].manual_start() if res == 'EST': return { 'status': False, 'code': 'peer already established' } elif res: return { 'status': True } else: return { 'status': False, 'code': 'Idle Hold, please wait' } except Exception as e: LOG.error(e) return { 'status': False, 'code': 'failed manual start' } def manual_stop(peer_ip): ''' manual stop BGP session :param peer_ip: :return: ''' try: result = cfg.CONF.bgp.running_config['factory'].manual_stop() if result: return { 'status': True } else: return { 'status': False, 'code': 'failed manual stop' } except Exception as e: LOG.error(e) return { 'status': False, 'code': 'failed manual stop' } def save_send_ipv4_policies(msg): if cfg.CONF.bgp.running_config['factory'].fsm.protocol.update_rib_out_ipv4(msg): return { 'status': True } else: return { 'status': False, 'code': 'failed when save this message' } def get_adj_rib_in(prefix_list, afi_safi): try: if afi_safi == 'ipv4': data = { prefix: cfg.CONF.bgp.running_config['factory'].fsm.protocol.ip_longest_match(prefix) for prefix in prefix_list } return { 'status': True, 'data': data } except Exception as e: LOG.error(e) return { 'status': False, 'code': e.__str__() } def get_adj_rib_out(prefix_list, afi_safi): try: if afi_safi == 'ipv4': data = { prefix: cfg.CONF.bgp.running_config['factory'].fsm.protocol.adj_rib_out['ipv4'].get(prefix) for prefix in prefix_list } return { 'status': True, 'data': data } except Exception as e: LOG.error(e) return { 'status': False, 'code': e.__str__() } def update_send_version(peer_ip, attr, nlri, withdraw): """ update version when send update message :param peer_ip: :param attr: :param nlri: :param withdraw: :return: """ cfg.CONF.bgp.running_config['factory'].fsm.protocol.update_send_version(peer_ip, attr, nlri, withdraw)
from typing import Callable import torch from torch import nn def initialize_weights( init_func: Callable[[torch.Tensor], None] ) -> Callable[[nn.Module], None]: """ Returns a function that can be applied to a module to initializes the module weights. Args: init_func: A function taking a torch module and modifies the module's weight data in place. """ def applied_func(module): """ The function that is applied to the module to initialize the weights """ if hasattr(module, "weight"): init_func(module.weight.data) return applied_func def initialize_bias( init_func: Callable[[torch.Tensor], None] ) -> Callable[[nn.Module], None]: """ Returns a function that can be applied to a module to initializes the module bias. Args: init_func: A function taking a torch module and modifies the module's bias data in place. """ def applied_func(module): """ The function that is applied to the module to initialize the weights """ if hasattr(module, "bias"): init_func(module.bias.data) return applied_func
from django.http import HttpResponse, HttpResponseRedirect, Http404 from django.shortcuts import render_to_response, get_object_or_404 from django.template import RequestContext, Template from django.template.loader import get_template, render_to_string from django.contrib.auth.decorators import login_required from ebi.metagame.models import Player from bandjesland.models import * from actstream.models import Action import datetime, random, math, json, os import logging def toggle_like(request): playerid = request.POST.get('playerid', '') specialid = request.POST.get('specialid', '') if playerid and specialid: player = Player.objects.get(id=playerid) special = BandjeslandSpecial.objects.get(id=specialid) likes = BandjeslandLike.objects.filter(special=special, player=player) if likes: for like in likes: logging.debug('deleting bandjesland like %s', str(like)) like.delete() action = 'removed' else: b = BandjeslandLike.objects.create(special=special, player=player) logging.debug('created bandjesland like %s', str(b)) action = 'added' return HttpResponse(json.dumps({ 'error': '0', 'specialid': specialid, 'action': action }), mimetype='text/json') return HttpResponse(json.dumps({'error': '1'}), mimetype='text/json') def special_occurrences(request): specialid = request.GET.get('specialid', '') sessionLabel = request.GET.get('sessionlabel', '') special = BandjeslandSpecial.objects.get(id=int(specialid)) session = BandjeslandSessie.objects.get(label=sessionLabel) logging.debug('occurrences for special %d', special.id) logging.debug('occurrences for session %d', session.id) # print session.start occurrenceTimes = BandjeslandSpecialOccurrence.objects.filter( session=session ).filter( special=special ).filter( time__gte=session.start ).filter( time__lte=session.end ).order_by('-time').values('time') # print occurrenceTimes return HttpResponse(json.dumps({ 'label': sessionLabel, 'offsets': [(occ['time']-session.start).seconds for occ in occurrenceTimes] }), mimetype='text/json')
""" For use with Gabby Gums """ import math import time import json import logging import functools import statistics as stats from typing import List, Optional from collections import defaultdict from dataclasses import dataclass, field from datetime import datetime, timedelta import asyncpg from discord import Invite, Message import GuildConfigs class DBPerformance: def __init__(self): self.time = defaultdict(list) def avg(self, key: str): return stats.mean(self.time[key]) def all_avg(self): avgs = {} for key, value in self.time.items(): avgs[key] = stats.mean(value) return avgs def stats(self): statistics = {} for key, value in self.time.items(): loop_stats = {} try: loop_stats['avg'] = stats.mean(value) except stats.StatisticsError: loop_stats['avg'] = -1 try: loop_stats['med'] = stats.median(value) except stats.StatisticsError: loop_stats['med'] = -1 try: loop_stats['max'] = max(value) except stats.StatisticsError: loop_stats['max'] = -1 try: loop_stats['min'] = min(value) except stats.StatisticsError: loop_stats['min'] = -1 loop_stats['calls'] = len(value) statistics[key] = loop_stats return statistics db_perf = DBPerformance() async def create_db_pool(uri: str) -> asyncpg.pool.Pool: # FIXME: Error Handling async def init_connection(conn): await conn.set_type_codec('json', encoder=json.dumps, decoder=json.loads, schema='pg_catalog') pool: asyncpg.pool.Pool = await asyncpg.create_pool(uri, init=init_connection) return pool def db_deco(func): @functools.wraps(func) async def wrapper(*args, **kwargs): start_time = time.perf_counter() try: response = await func(*args, **kwargs) end_time = time.perf_counter() db_perf.time[func.__name__].append((end_time - start_time) * 1000) if len(args) > 1: logging.debug("DB Query {} from {} in {:.3f} ms.".format(func.__name__, args[1], (end_time - start_time) * 1000)) else: logging.debug("DB Query {} in {:.3f} ms.".format(func.__name__, (end_time - start_time) * 1000)) return response except asyncpg.exceptions.PostgresError: logging.exception("Error attempting database query: {} for server: {}".format(func.__name__, args[1])) return wrapper async def ensure_server_exists(conn, sid: int): # TODO: Add name as well. response = await conn.fetchval("select exists(select 1 from servers where server_id = $1)", sid) if response is False: logging.warning("SERVER {} WAS NOT IN DB. ADDING WITHOUT NAME!".format(sid)) await conn.execute( "INSERT INTO servers(server_id, server_name) VALUES($1, $2)", sid, "NOT_AVAILABLE") return response @db_deco async def add_server(pool, sid: int, name: str): async with pool.acquire() as conn: await conn.execute( "INSERT INTO servers(server_id, server_name) VALUES($1, $2)", sid, name) @db_deco async def remove_server(pool, sid: int): async with pool.acquire() as conn: await conn.execute("DELETE FROM servers WHERE server_id = $1", sid) @db_deco async def update_server_name(pool, sid: int, name: str): async with pool.acquire() as conn: await ensure_server_exists(conn, sid) await conn.execute("UPDATE servers SET server_name = $1 WHERE server_id = $2", name, sid) @db_deco async def update_log_channel(pool, sid: int, log_channel_id: int = None): # Good async with pool.acquire() as conn: await ensure_server_exists(conn, sid) await conn.execute("UPDATE servers SET log_channel_id = $1 WHERE server_id = $2", log_channel_id, sid) @db_deco async def get_log_channel(pool, sid: int) -> Optional[int]: # Good async with pool.acquire() as conn: row = await conn.fetchrow('SELECT log_channel_id FROM servers WHERE server_id = $1', sid) return row['log_channel_id'] if row else None @db_deco async def update_log_enabled(pool, sid: int, log_enabled: bool): async with pool.acquire() as conn: await ensure_server_exists(conn, sid) await conn.execute("UPDATE servers SET logging_enabled = $1 WHERE server_id = $2", log_enabled, sid) @db_deco async def set_server_log_configs(pool, sid: int, log_configs: GuildConfigs.GuildLoggingConfig): async with pool.acquire() as conn: await ensure_server_exists(conn, sid) await conn.execute("UPDATE servers SET log_configs = $1 WHERE server_id = $2", log_configs.to_dict(), sid) @db_deco async def get_server_log_configs(pool, sid: int) -> GuildConfigs.GuildLoggingConfig: async with pool.acquire() as conn: value = await conn.fetchval('SELECT log_configs FROM servers WHERE server_id = $1', sid) # return GuildConfigs.load_nested_dict(GuildConfigs.GuildLoggingConfig, value) if value else GuildConfigs.GuildLoggingConfig() return GuildConfigs.GuildLoggingConfig.from_dict(value) # ----- Users Override DB Functions ----- # @db_deco async def add_user_override(pool, sid: int, ignored_user_id: int, override_log_ch: Optional[int]): # Good async with pool.acquire() as conn: await conn.execute(""" INSERT INTO ignored_users(user_id, server_id, log_ch) VALUES($1, $2, $3) ON CONFLICT (server_id, user_id) DO UPDATE SET log_ch = EXCLUDED.log_ch """, ignored_user_id, sid, override_log_ch) @db_deco async def remove_user_override(pool, sid: int, ignored_user_id: int): # Good async with pool.acquire() as conn: await conn.execute("DELETE FROM ignored_users WHERE server_id = $1 AND user_id = $2", sid, ignored_user_id) @db_deco async def get_users_overrides(pool: asyncpg.pool.Pool, sid: int) -> List[asyncpg.Record]: # Good async with pool.acquire() as conn: conn: asyncpg.connection.Connection # TODO: Optimise by replacing * with user_id raw_rows = await conn.fetch('SELECT * FROM ignored_users WHERE server_id = $1', sid) rows = raw_rows#[row["user_id"] for row in raw_rows] return rows # region Channel Override DB Functions @db_deco async def add_channel_override(pool, sid: int, ignored_channel_id: int, override_log_ch: Optional[int]): # Good async with pool.acquire() as conn: await conn.execute(""" INSERT INTO ignored_channels(channel_id, server_id, log_ch) VALUES($1, $2, $3) ON CONFLICT (server_id, channel_id) DO UPDATE SET log_ch = EXCLUDED.log_ch """, ignored_channel_id, sid, override_log_ch) @db_deco async def remove_channel_override(pool, sid: int, ignored_channel_id: int): # Good async with pool.acquire() as conn: await conn.execute("DELETE FROM ignored_channels WHERE server_id = $1 AND channel_id = $2", sid, ignored_channel_id) @db_deco async def get_channel_overrides(pool, sid: int) -> List[asyncpg.Record]: # Good async with pool.acquire() as conn: raw_rows = await conn.fetch('SELECT * FROM ignored_channels WHERE server_id = $1', sid) return raw_rows # endregion # region Ignored Categories DB Functions @db_deco async def add_ignored_category(pool, sid: int, ignored_category_id: int): # Good async with pool.acquire() as conn: await conn.execute("INSERT INTO ignored_category(category_id, server_id) VALUES($1, $2)", ignored_category_id, sid) @db_deco async def remove_ignored_category(pool, sid: int, ignored_category_id: int): # Good async with pool.acquire() as conn: await conn.execute("DELETE FROM ignored_category WHERE server_id = $1 AND category_id = $2", sid, ignored_category_id) @db_deco async def get_ignored_categories(pool, sid: int) -> List[int]: # Good async with pool.acquire() as conn: raw_rows = await conn.fetch('SELECT category_id FROM ignored_category WHERE server_id = $1', sid) category_ids = [row["category_id"] for row in raw_rows] return category_ids # endregion # ----- Invite DB Functions ----- # @db_deco async def store_invite(pool, sid: int, invite_id: str, invite_uses: int = 0, max_uses: Optional[int] = None, inviter_id: Optional[str] = None, created_at: Optional[datetime] = None): async with pool.acquire() as conn: ts = math.floor(created_at.timestamp()) if created_at is not None else None await conn.execute( """ INSERT INTO invites(server_id, invite_id, uses, max_uses, inviter_id, created_ts) VALUES($1, $2, $3, $4, $5, $6) ON CONFLICT (server_id, invite_id) DO UPDATE SET uses = EXCLUDED.uses """, sid, invite_id, invite_uses, max_uses, inviter_id, ts) async def add_new_invite(pool, sid: int, invite_id: str, max_uses: int, inviter_id: str, created_at: datetime, invite_uses: int = 0): ts = math.floor(created_at.timestamp()) if created_at is not None else None async with pool.acquire() as conn: await conn.execute("INSERT INTO invites(server_id, invite_id, uses, max_uses, inviter_id, created_ts) VALUES($1, $2, $3, $4, $5, $6)", sid, invite_id, invite_uses, max_uses, inviter_id, ts) async def update_invite_uses(pool, sid: int, invite_id: str, invite_uses: int): async with pool.acquire() as conn: await conn.execute("UPDATE invites SET uses = $1 WHERE server_id = $2 AND invite_id = $3", invite_uses, sid, invite_id) @db_deco async def update_invite_name(pool, sid: int, invite_id: str, invite_name: Optional[str] = None): async with pool.acquire() as conn: await conn.execute("UPDATE invites SET invite_name = $1 WHERE server_id = $2 AND invite_id = $3", invite_name, sid, invite_id) @db_deco async def remove_invite(pool, sid, invite_id): async with pool.acquire() as conn: await conn.execute("DELETE FROM invites WHERE server_id = $1 AND invite_id = $2", sid, invite_id) @dataclass class StoredInvite: server_id: int invite_id: str uses: int id: Optional[int] = None invite_name: Optional[str] = None invite_desc: Optional[str] = None actual_invite: Optional[Invite] = None max_uses: Optional[int] = None inviter_id: Optional[str] = None created_ts: Optional[int] = None def created_at(self) -> Optional[datetime]: """Get the time (if any) that this invite was created.""" if self.created_ts is None: return None ts = datetime.fromtimestamp(self.created_ts) return ts @dataclass class StoredInvites: invites: List[StoredInvite] = field(default_factory=[]) # Needed to ensure that all StoredInvites do not share the same list def find_invite(self, invite_id: str) -> Optional[StoredInvite]: for invite in self.invites: if invite.invite_id == invite_id: return invite return None @db_deco async def get_invites(pool, sid: int) -> StoredInvites: async with pool.acquire() as conn: raw_rows = await conn.fetch('SELECT * FROM invites WHERE server_id = $1', sid) #Fixme: Does fetch return None or 0 length list when no entries are found? return StoredInvites(invites=[StoredInvite(**row) for row in raw_rows]) # ----- Cached Messages DB Functions ----- # @dataclass class CachedMessage: message_id: int server_id: int user_id: int ts: datetime content: Optional[str] attachments: Optional[List[str]] webhook_author_name: Optional[str] system_pkid: Optional[str] member_pkid: Optional[str] pk_system_account_id: Optional[int] @db_deco async def cache_message(pool, sid: int, message_id: int, author_id: int, message_content: Optional[str] = None, attachments: Optional[List[str]] = None, webhook_author_name: Optional[str] = None, system_pkid: Optional[str] = None, member_pkid: Optional[str] = None, pk_system_account_id: Optional[int] = None): async with pool.acquire() as conn: await conn.execute("INSERT INTO messages(server_id, message_id, user_id, content, attachments, webhook_author_name) VALUES($1, $2, $3, $4, $5, $6)", sid, message_id, author_id, message_content, attachments, webhook_author_name) @db_deco async def get_cached_message(pool, sid: int, message_id: int) -> Optional[CachedMessage]: async with pool.acquire() as conn: row = await conn.fetchrow("SELECT * FROM messages WHERE message_id = $1", message_id) return CachedMessage(**row) if row is not None else None @db_deco async def get_cached_message_for_archive(conn: asyncpg.connection.Connection, sid: int, message_id: int) -> Optional[CachedMessage]: """This DB function is for bulk selects. As such to avoid wasting time reacquiring a connection for each call, the connection should be obtained in the function calling this function.""" row = await conn.fetchrow("SELECT * FROM messages WHERE message_id = $1", message_id) return CachedMessage(**row) if row is not None else None # cached = CachedMsgPKInfo(message_id, sid, row['webhook_author_name'], row['system_pkid'], row['member_pkid'], row['pk_system_account_id']) if row is not None else None # return cached @db_deco async def update_cached_message(pool, sid: int, message_id: int, new_content: str): async with pool.acquire() as conn: await conn.execute("UPDATE messages SET content = $1 WHERE message_id = $2", new_content, message_id) @db_deco async def update_cached_message_pk_details(pool, sid: int, message_id: int, system_pkid: str, member_pkid: str, pk_system_account_id: int): async with pool.acquire() as conn: await conn.execute("UPDATE messages SET system_pkid = $1, member_pkid = $2, pk_system_account_id = $3 WHERE message_id = $4", system_pkid, member_pkid, pk_system_account_id, message_id) @db_deco async def delete_cached_message(pool, sid: int, message_id: int): async with pool.acquire() as conn: await conn.execute("DELETE FROM messages WHERE message_id = $1", message_id) @db_deco async def get_number_of_rows_in_messages(pool, table: str = "messages") -> int: # Slow! But only used for g!top so okay. async with pool.acquire() as conn: num_of_rows = await conn.fetchval("SELECT COUNT(*) FROM messages") return num_of_rows # ----- Banned Systems DB Functions ----- # @dataclass class BannedUser: server_id: int user_id: int system_id: str @db_deco async def add_banned_system(pool: asyncpg.pool.Pool, sid: int, system_id: str, user_id: int): """Adds a banned system and an associated Discord User ID to the banned systems table.""" async with pool.acquire() as conn: await conn.execute("""INSERT INTO banned_systems(server_id, user_id, system_id) VALUES($1, $2, $3)""", sid, user_id, system_id) @db_deco async def get_banned_system(pool: asyncpg.pool.Pool, server_id: int, system_id: str) -> List[BannedUser]: """Returns a list of known Discord user IDs that are linked to the given system ID.""" async with pool.acquire() as conn: raw_rows = await conn.fetch(" SELECT * from banned_systems where server_id = $1 AND system_id = $2", server_id, system_id) banned_users = [BannedUser(**row) for row in raw_rows] return banned_users @db_deco async def get_banned_system_by_discordid(pool: asyncpg.pool.Pool, server_id: int, user_id: str) -> List[BannedUser]: """Returns a list of known Discord user IDs that are linked to the given system ID.""" async with pool.acquire() as conn: # TODO: Optimise this to use only 1 DB call. row = await conn.fetchrow(" SELECT * from banned_systems where server_id = $1 AND user_id = $2", server_id, user_id) if row is None: return [] system_id = row['system_id'] raw_rows = await conn.fetch(" SELECT * from banned_systems where server_id = $1 AND system_id = $2", server_id, system_id) banned_users = [BannedUser(**row) for row in raw_rows] return banned_users # @db_deco # async def remove_banned_user(pool: asyncpg.pool.Pool, sid: int, user_id: str): # """Removes a discord account from the banned systems table""" # async with pool.acquire() as conn: # await conn.execute("DELETE FROM banned_systems WHERE server_id = $1 AND user_id = $2", sid, user_id) @db_deco async def remove_banned_system(pool: asyncpg.pool.Pool, sid: int, system_id: str): """Removes a system and all associated discord accounts from the banned systems table""" async with pool.acquire() as conn: await conn.execute("DELETE FROM banned_systems WHERE server_id = $1 AND system_id = $2", sid, system_id) @db_deco async def any_banned_systems(pool: asyncpg.pool.Pool, sid: int) -> bool: """Check to see if there are any banned systems in the guild specified.""" async with pool.acquire() as conn: response = await conn.fetchval("select exists(select 1 from banned_systems where server_id = $1)", sid) return response # ----- Debugging DB Functions ----- # @db_deco async def get_cached_messages_older_than(pool, hours: int): # This command is limited only to servers that we are Admin/Owner of for privacy reasons. # Servers: GGB, PN, AS async with pool.acquire() as conn: now = datetime.now() offset = timedelta(hours=hours) before = now - offset raw_rows = await conn.fetch(" SELECT * from messages WHERE ts > $1 and server_id in (624361300327268363, 433446063022538753, 468794128340090890)", before) return raw_rows @db_deco async def fetch_full_table(pool, table: str) -> List[int]: # good async with pool.acquire() as conn: raw_rows = await conn.fetch('SELECT * FROM {}'.format(table)) return raw_rows async def create_tables(pool): # Create servers table async with pool.acquire() as conn: await conn.execute(''' CREATE TABLE if not exists servers( server_id BIGINT PRIMARY KEY, server_name TEXT, log_channel_id BIGINT, logging_enabled BOOLEAN NOT NULL DEFAULT TRUE, log_configs JSON DEFAULT NULL ) ''') # ALTER TABLE ignored_channels ADD COLUMN log_ch BIGINT DEFAULT NULL; # Create ignored_channels table await conn.execute(''' CREATE TABLE if not exists ignored_channels( id SERIAL PRIMARY KEY, server_id BIGINT NOT NULL REFERENCES servers(server_id) ON DELETE CASCADE, channel_id BIGINT NOT NULL, log_ch BIGINT DEFAULT NULL, UNIQUE (server_id, channel_id) ) ''') # Create ignored_category table await conn.execute(''' CREATE TABLE if not exists ignored_category( id SERIAL PRIMARY KEY, server_id BIGINT NOT NULL REFERENCES servers(server_id) ON DELETE CASCADE, category_id BIGINT NOT NULL, UNIQUE (server_id, category_id) ) ''') # ALTER TABLE ignored_users ADD COLUMN log_ch BIGINT DEFAULT NULL; # Create ignored_users table await conn.execute(''' CREATE TABLE if not exists ignored_users( id SERIAL PRIMARY KEY, server_id BIGINT NOT NULL REFERENCES servers(server_id) ON DELETE CASCADE, user_id BIGINT NOT NULL, log_ch BIGINT DEFAULT NULL, UNIQUE (server_id, user_id) ) ''') # Create invites table # Will need to execute "ALTER TABLE invites ADD UNIQUE (server_id, invite_id)" to alter the existing production table # ALTER TABLE invites ADD COLUMN max_uses BIGINT DEFAULT NULL; # ALTER TABLE invites ADD COLUMN inviter_id BIGINT DEFAULT NULL; # ALTER TABLE invites ADD COLUMN created_ts BIGINT DEFAULT NULL; await conn.execute(''' CREATE TABLE if not exists invites( id SERIAL PRIMARY KEY, server_id BIGINT NOT NULL REFERENCES servers(server_id) ON DELETE CASCADE, invite_id TEXT NOT NULL, uses INTEGER NOT NULL DEFAULT 0, invite_name TEXT, invite_desc TEXT, max_uses INT DEFAULT NULL, inviter_id BIGINT DEFAULT NULL, created_ts BIGINT DEFAULT NULL, UNIQUE (server_id, invite_id) ) ''') # Create users table await conn.execute(''' CREATE TABLE if not exists users( user_id BIGINT PRIMARY KEY, server_id BIGINT NOT NULL REFERENCES servers(server_id) ON DELETE CASCADE, username TEXT, discriminator SMALLINT, nickname TEXT, is_webhook BOOL DEFAULT FALSE, UNIQUE (user_id, server_id) ) ''') # Create message cache table # Will need to execute the following to alter the existing production table: # ALTER TABLE messages ADD COLUMN webhook_author_name TEXT DEFAULT NULL; # ALTER TABLE messages ADD COLUMN system_pkid TEXT DEFAULT NULL; # ALTER TABLE messages ADD COLUMN member_pkid TEXT DEFAULT NULL; # ALTER TABLE messages ADD COLUMN pk_system_account_id BIGINT DEFAULT NULL; await conn.execute(''' CREATE TABLE if not exists messages( message_id BIGINT PRIMARY KEY, server_id BIGINT NOT NULL REFERENCES servers(server_id) ON DELETE CASCADE, user_id BIGINT NOT NULL, content TEXT DEFAULT NULL, attachments TEXT[] DEFAULT NULL, ts TIMESTAMPTZ NOT NULL DEFAULT NOW(), webhook_author_name TEXT DEFAULT NULL, system_pkid TEXT DEFAULT NULL, member_pkid TEXT DEFAULT NULL, pk_system_account_id BIGINT DEFAULT NULL ) ''') # Create banned users table await conn.execute(''' CREATE TABLE if not exists banned_systems( server_id BIGINT NOT NULL REFERENCES servers(server_id) ON DELETE CASCADE, system_id TEXT NOT NULL, user_id BIGINT NOT NULL, PRIMARY KEY (server_id, system_id, user_id) ) ''')
import torch import torch.nn as nn import numpy as np import os import matplotlib.pyplot as plt import random def KLZeroCenteredLevy(sigma_1, sigma_2): A = sigma_2 / (2*sigma_1) B = torch.log(torch.pow(sigma_1, 0.5)/2) C = torch.log(torch.pow(sigma_2, 0.5)/2) KL = A + B - C - 0.5 return KL def levyDist(x,mu, sigma): A = np.power(sigma / (2*np.pi), 0.5) B = np.exp((-1* sigma) / 2*(x - mu)) C = np.power(x - mu, (-3/2)) p = A*B*C return p # define net net = nn.Sequential(nn.Linear(10, 10), nn.ReLU(), nn.Linear(10,5), nn.ReLU(), nn.Linear(5,1), nn.ReLU()) opt = torch.optim.Adam(net.parameters(),lr=3e-4) loss_fn = nn.L1Loss() # define target parameters sigma_low = torch.tensor([0.0001], requires_grad = False) sigma_high = torch.tensor([0.1], requires_grad = False) mu_low = 0 mu_high = 0 # define features feature_high = 2*torch.ones(10) feature_low = torch.ones(10) sigma_init = torch.tensor(1e-4) mu_init = 0 p_high = 0.5 # prob of sampling the high feature # testing the divergnce loss # create two continious plots: # one of high # one of low # look at thier progression for i in range(10000): high_flag = True if np.random.rand() > p_high else False sigma_target = sigma_high if high_flag else sigma_low feature = feature_high if high_flag else feature_low sigma_out = net(feature) print(sigma_out) opt.zero_grad() #div = KLZeroCenteredLevy(sigma_out, sigma_target) loss = loss_fn(sigma_out, sigma_target) #print(loss) loss.backward() opt.step() x_axis = np.arange(0.1,10,0.01) for s_tar,f in zip([sigma_low, sigma_high], [feature_low,feature_high]): with torch.no_grad(): s_out = net(f) fig, ax = plt.subplots() print(f"target {s_tar}") print(f"actual {s_out}") p_target = levyDist(x_axis, 0, (s_tar.detach().numpy())) print(p_target[0:10]) p_out = levyDist(x_axis, 0, (s_out.detach().numpy())) print(p_out[0:10]) ax.plot(x_axis, p_target, 'r', p_out, 'b--') #fig.title(f"target {s_tar}") plt.show()
class UnitGroup(Enum,IComparable,IFormattable,IConvertible): """ A group of related unit types,primarily classified by discipline. enum UnitGroup,values: Common (0),Electrical (3),Energy (5),HVAC (2),Piping (4),Structural (1) """ def __eq__(self,*args): """ x.__eq__(y) <==> x==yx.__eq__(y) <==> x==yx.__eq__(y) <==> x==y """ pass def __format__(self,*args): """ __format__(formattable: IFormattable,format: str) -> str """ pass def __ge__(self,*args): pass def __gt__(self,*args): pass def __init__(self,*args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass def __le__(self,*args): pass def __lt__(self,*args): pass def __ne__(self,*args): pass def __reduce_ex__(self,*args): pass def __str__(self,*args): pass Common=None Electrical=None Energy=None HVAC=None Piping=None Structural=None value__=None
"""Protcol write to write collected data to a tinydb db""" import tinydb from baseclasses.protocol import ProtocolBase class TinyDBProtocol(ProtocolBase): """ Class to store collected data in a tinyDB db. """ def __init__(self, examiner, artifactid='', taskid=''): super().__init__(artifactid=artifactid, examiner=examiner, taskid=taskid) # TODO def set_task_metadata(self, metadata): return # TODO def store_artefact(self, artefact: ArtefactBase, callpath: str): return
from django.db import models from django.contrib.auth.models import User import user_accounts from user_accounts import exceptions import uuid class UserProfile(models.Model): name = models.CharField(max_length=200, blank=True) user = models.OneToOneField(User, on_delete=models.CASCADE, related_name='profile') organization = models.ForeignKey( 'Organization', on_delete=models.PROTECT, related_name='profiles' ) should_get_notifications = models.BooleanField(default=False) uuid = models.UUIDField(default=uuid.uuid4, editable=False) def get_display_name(self): name_display = self.name or self.user.email return "{} at {}".format( name_display, self.organization.name) def get_uuid(self): return self.uuid.hex def __str__(self): display = self.get_display_name() display += ", {}".format(self.user.email) if self.should_get_notifications: self.user.email display += " (gets notifications)" return display @classmethod def create_from_invited_user(cls, user, invitation=None, **kwargs): """ This assumes we have a saved user and an accepted invite for that user's email """ if not invitation: invitations = user_accounts.models.Invitation.objects.filter( email=user.email, accepted=True ) invitation = invitations.first() if not invitation: raise exceptions.MissingInvitationError( "No invitation found for {}".format(user.email)) profile = cls( user=user, organization=invitation.organization, should_get_notifications=invitation.should_get_notifications, **kwargs ) profile.save() user.groups.add(*invitation.groups.all()) return profile def should_see_pdf(self): """This should be based on whether or not this user's org has a pdf """ return self.organization.has_a_pdf() or self.user.is_staff def should_have_access_to(self, resource): """Returns True if user is staff or shares one org with resource Raises an error for resources that don't have an `organization` or `organizations` attribute. """ if self.user.is_staff: return True if hasattr(resource, 'organization'): return self.organization == resource.organization elif hasattr(resource, 'organizations'): return bool(resource.organizations.filter( pk=self.organization_id).count()) msg = "`{}` doesn't have a way to define UserProfile access" raise exceptions.UndefinedResourceAccessError( msg.format(resource)) def filter_submissions(self, submissions_qset): if self.user.is_staff: return submissions_qset return submissions_qset.filter(organizations__profiles=self) def get_user_display(user): return user.profile.get_display_name()
"""Datagrid utilies package.""" import logging import sys from gi.repository import Gtk, Gdk def setup_logging_to_stdout(): """Sets up logging to std out.""" handler = logging.StreamHandler(sys.stdout) handler.setLevel(logging.DEBUG) formatter = logging.Formatter( '%(asctime)s - %(name)s - %(levelname)s - %(message)s') handler.setFormatter(formatter) root = logging.getLogger() root.setLevel(logging.DEBUG) root.addHandler(handler) def setup_gtk_show_rules_hint(base_color='base_color'): """Modify gtk theme to display rules hinting. Different from gtk2, gtk3 rules hinting is only displayed if the theme implements it. This is a way to override that. :param base_color: the theme base color, if different from the default """ style_provider = Gtk.CssProvider() style_provider.load_from_data(""" GtkTreeView row:nth-child(even) { background-color: shade(@%s, 1.0); } GtkTreeView row:nth-child(odd) { background-color: shade(@%s, 0.95); } """ % (base_color, base_color)) Gtk.StyleContext.add_provider_for_screen( Gdk.Screen.get_default(), style_provider, Gtk.STYLE_PROVIDER_PRIORITY_APPLICATION)
#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2017/8/23 10:37 # @Author : ‘DIY’ # @Site : # @File : QuXianNiHe.py # @Software: PyCharm Community Edition import matplotlib.pyplot as plt import numpy as np #潘海东,2014/1/13 x = np.arange(1, 17, 1) y = np.array([4.00, 6.40, 8.00, 8.80, 9.22, 9.50, 9.70, 9.86, 10.00, 10.20, 10.32, 10.42, 10.50, 10.55, 10.58, 10.60]) z1 = np.polyfit(x, y, 3)#用3次多项式拟合 p1 = np.poly1d(z1) print(p1) #在屏幕上打印拟合多项式 yvals=p1(x)#也可以使用yvals=np.polyval(z1,x) plot1=plt.plot(x, y, '*',label='original values') plot2=plt.plot(x, yvals, 'r',label='polyfit values') plt.xlabel('x axis') plt.ylabel('y axis') plt.legend(loc=4)#指定legend的位置,读者可以自己help它的用法 plt.title('polyfitting') plt.show() # plt.savefig('p1.png')
from librovers import * # import bindings. import random """ A custom rover that: uses orientation computes a modified difference reward implements a new sensing mechanism """ class PyRover (rovers.IRover): def __init__(self, obs_radius=1.0, use_orientation=False): super().__init__(obs_radius) self.use_orientation = use_orientation # Our custom rover uses orientation # You can use a scanning method implemented \ # in the library or roll out your own: def scan(self, agent_pack): # I see 9.0 for all agents! return rovers.tensor([9.0 for r in agent_pack.agents]) # You can use a reward method implemented \ # in the library or roll out your own. # Create a new reward that adds -1.0 to difference rewards def reward(self, agent_pack): return rovers.rewards.Difference().compute(agent_pack) - 1.0 def apply_action(self): # some physical manifestation of this action. Maybe move or something. pass """ A noisy lidar composition strategy that adds random noise to lidar observation. """ class BonkedComposition(rovers.ISensorComposition): def __init__(self, bonk_factor=7.0): super().__init__() self.bonk_factor = bonk_factor # how noisy this sensor is # add noise: def compose(self, range, init, scale): return max(range) + random.random() * self.bonk_factor # aliasing some types to reduce typing Dense = rovers.Lidar[rovers.Density] # lidar with density composition Close = rovers.Lidar[rovers.Closest] # lidar for closest rover/poi Discrete = thyme.spaces.Discrete # Discrete action space Difference = rovers.rewards.Difference # Difference reward # Lidar with our new bonked composition policy! BonkedLidar = rovers.Lidar[BonkedComposition] # create rovers agents = [ # create agent with difference reward rovers.Rover[Dense, Discrete, Difference](1.0, Dense(90)), # create rover with close lidar and global reward rovers.Rover[Close, Discrete](2.0, Close(90)), rovers.Drone(), # drone with no policy specifications (all defaults) # Our new custom Rover PyRover(1.0, True), # Rover with a bonked lidar rovers.Rover[BonkedLidar, Discrete]( 3.0, BonkedLidar(90, BonkedComposition())) ] # Three POIs with Count and Type constraints: pois = [ # 3 agents must observe rovers.POI[rovers.CountConstraint](3), # 2 agents of a certaiin type to get value 1.0 rovers.POI[rovers.TypeConstraint](2, 1.0), # 5 agents of a certain type must observe rovers.POI[rovers.TypeConstraint](5) ] # Environment with rovers and pois placed in the corners. Defaults to random initialization if unspecified. Env = rovers.Environment[rovers.CornersInit] # create an environment with our rovers and pois: env = Env(rovers.CornersInit(10.0), agents, pois) states, rewards = env.reset() # print sample state print("Sample environment state (each row corresponds to the state of a rover): ") for state in states: print(state.transpose())
from Crypto.PublicKey import RSA from Crypto.Signature import PKCS1_v1_5 from Crypto.Hash import SHA256 import Crypto.Random import binascii class Wallet: def __init__(self): self.private_key = None self.public_key = None def create_keys(self): private_key, public_key = self.generate_keys() self.private_key = private_key self.public_key = public_key def save_keys(self): if self.public_key == None or self.private_key == None: print("Wrong keys!") try: with open('wallet.txt', mode='w') as file: file.write(self.public_key) file.write('\n') file.write(self.private_key) except (IOError, IndexError): print("Saving wallet failed...") def load_keys(self): try: with open('wallet.txt', mode='r') as file: keys = file.readlines() self.public_key = keys[0][:-1] self.private_key = keys[1] except (IOError, IndexError): print("Loading wallet failed...") def generate_keys(self): private_key = RSA.generate(1024, Crypto.Random.new().read) public_key = private_key.publickey() return (binascii.hexlify(private_key.exportKey(format='DER')).decode('ascii'), binascii.hexlify(public_key.exportKey(format='DER')).decode('ascii')) def sign_transaction(self, sender, recipient, amount): signer = PKCS1_v1_5.new(RSA.importKey(binascii.unhexlify(self.private_key))) hash_value = SHA256.new((str(sender) + str(recipient) + str(amount)).encode('utf8')) signature = signer.sign(hash_value) return binascii.hexlify(signature).decode('ascii') @staticmethod def verify_transaction(transaction): if transaction.sender == "Miner": return True public_key = RSA.importKey(binascii.unhexlify(transaction.sender)) verifier = PKCS1_v1_5.new(public_key) hash_value = SHA256.new((str(transaction.sender) + str(transaction.recipient) + str(transaction.amount)).encode('utf8')) return verifier.verify(hash_value, binascii.unhexlify(transaction.signature))
#this code is inspired by #https://github.com/sauravraghuvanshi/Udacity-Computer-Vision-Nanodegree-Program/blob/master/project_2_image_captioning_project/model.py #https://github.com/ajamjoom/Image-Captions/blob/master/main.py import socket import torch from torch import nn import torchvision def _load_resnet101_model(): hostname = socket.gethostname() if 'shannon' in hostname or 'markov' in hostname: # Pre-requisite: # Run "wget https://download.pytorch.org/models/resnet101-5d3b4d8f.pth -O resnet101.pth" # in the model directory. model = torchvision.models.resnet101(pretrained=False) state_dict = torch.load('models/resnet101.pth') model.load_state_dict(state_dict) else: model = torchvision.models.resnet101(pretrained=True) return model class Encoder(nn.Module): """CNN encoder.""" def __init__(self, embed_size): """Initialize encoder. Args: encoded_img_size (int): Output size. """ super(Encoder, self).__init__() # Cannot download resnet101 from torchvision due to certificate failure # on the cluster I'm running on. If you can, simply replace # with resnet = torchvision.models.resnet101(pretrained=True) resnet = _load_resnet101_model() modules = list(resnet.children())[:-1] self.resnet = nn.Sequential(*modules) self.embed = nn.Linear(resnet.fc.in_features, embed_size) for param in self.resnet.parameters(): param.requires_grad = False def forward(self, imgs): """Forward propagation. Args: imgs (torch.Tensor): A tensor of dimension (batch_size, 3, img_size, img_size). Returns: Embedded image feature vectors of dimension (batch_size, embed_dim) """ features = self.resnet(imgs) features = features.view(features.size(0), -1) features = self.embed(features) return features def fine_tune(self, on=True): """Allow or prevent the computation of gradients for convolutional blocks 2 through 4 of the encoder. Args: on (bool): Switch on or off. """ for conv_block in list(self.resnet.children())[5:]: for param in conv_block.parameters(): param.requires_grad = on class EncoderAttention(nn.Module): """CNN encoder.""" def __init__(self): """Initialize encoder. Args: encoded_img_size (int): Output size. attention_method (str): Attention method to use. Supported attentions methods are "ByPixel" and "ByChannel". """ super(EncoderAttention, self).__init__() # Cannot download resnet101 from torchvision due to certificate failure # on the cluster I'm running on. If you can, simply replace # with resnet = torchvision.models.resnet101(pretrained=True) resnet = _load_resnet101_model() modules = list(resnet.children())[:-2] self.resnet = nn.Sequential(*modules) self.adaptive_pool = nn.AdaptiveAvgPool2d((14, 14)) for param in self.resnet.parameters(): param.requires_grad = False def forward(self, imgs): """Forward propagation. Args: imgs (torch.Tensor): A tensor of dimension (batch_size, 3, img_size, img_size). Returns: Encoded images of dimension (batch_size, encoded_img_size, encoded_img_size, 2048) """ features = self.resnet(imgs) features = self.adaptive_pool(features) features = features.permute(0, 2, 3, 1) return features def fine_tune(self, on=True): """Allow or prevent the computation of gradients for convolutional blocks 2 through 4 of the encoder. Args: on (bool): Switch on or off. """ for conv_block in list(self.resnet.children())[5:]: for param in conv_block.parameters(): param.requires_grad = on
"""Utility functions shared by all providers.""" from datetime import datetime, timedelta import pytz import requests from bs4 import BeautifulSoup def get_html_document(url): """Get HTML document of given URL.""" headers = { "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36", # noqa "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8", # noqa } resp = requests.get(url, headers=headers) return resp.text def apply_parser(html_doc, selector, parser): """Parse items in HTML document.""" soup = BeautifulSoup(html_doc, "html.parser") return parser(soup.select(selector)) def get_ranks(url, selector, parser): """Prase ranks from with URL and selectors.""" return apply_parser( get_html_document(url), selector, parser, ) def localize_time(day_time, timezone="UTC"): """Return local time, defaulting to UTC. >>> dt = datetime(2018, 11, 17) >>> local_dt = localize_time(dt) >>> local_dt.tzname() 'UTC' >>> local_dt = localize_time(dt, "Asia/Seoul") >>> local_dt.tzname() 'KST' """ if day_time is None: day_time = datetime.now() local = pytz.timezone(timezone) return day_time.astimezone(local) def append_date_string(url, day_time, date_key=None, date_format="%Y-%m-%d", trailing_slash=False): """Add date string to the URL. >>> url = "https://mochart.com" >>> dt = datetime(2018, 11, 17) >>> append_date_string(url, dt) 'https://mochart.com/2018-11-17' """ dt_str = day_time.strftime(date_format) slash = "" if trailing_slash: slash = "/" if date_key: return f"{url}?{date_key}={dt_str}{slash}" return f"{url}/{dt_str}{slash}" def get_week_dates(day_time): """Return the beginning and end of the week which given time falls to. >>> dt = datetime(2018, 11, 17) >>> beg, end = get_week_dates(dt) >>> beg.strftime("%Y-%m-%d") '2018-11-12' >>> end.strftime("%Y-%m-%d") '2018-11-18' """ beg = day_time - timedelta(days=day_time.weekday()) end = beg + timedelta(days=6) return beg, end def get_weeks_in(day_time, start_zero=False, start_sunday=False): """Return the number of weeks into given month. >>> dt = datetime(2018, 1, 1) >>> get_weeks_in(dt) 1 """ current_week = int(get_weeks(day_time)) beginning_week = int(get_weeks(datetime(day_time.year, day_time.month, 1))) addition = 0 if start_zero else 1 return current_week - beginning_week + addition def get_weeks(day_time, start_sunday=False): """Return the number of weeks into given month in string. >>> dt = datetime(2018, 1, 1) >>> get_weeks(dt) '01' """ dt = localize_time(day_time) week_format = "%U" if start_sunday else "%W" return dt.strftime(week_format) def get_months(day_time): """Return month in string. >>> dt = datetime(2018, 1, 1) >>> get_months(dt) '01' """ dt = localize_time(day_time) return dt.strftime("%m") def get_years(day_time): """Return year in string. >>> dt = datetime(2018, 1, 1) >>> get_years(dt) '2018' """ dt = localize_time(day_time) return dt.strftime("%Y") def group_multiples(links): """Join links by comma if more than one. >>> from collections import namedtuple >>> Link = namedtuple("Link", ["text"]) >>> artists = [Link("IU"), Link("Sungha Jung")] >>> group_multiples(artists) 'IU, Sungha Jung' """ return ", ".join([link.text.strip() for link in links]) if __name__ == "__main__": import doctest doctest.testmod()
from django.db import models class MetaTable(models.Model): name = models.CharField(max_length=100) verbose_name = models.CharField(max_length=100) other_verbose_names = models.CharField(max_length=300) def __str__(self): return self.name class MetaFields(models.Model): table = models.ForeignKey(MetaTable) name = models.CharField(max_length=100) verbose_name = models.CharField(max_length=100) other_verbose_names = models.CharField(max_length=300) def __str__(self): return self.name
import tensorflow as tf from copy import deepcopy from base import * from lm import * class RJMCMC(object): def __init__(self, simulater, gamma, multiple_trial, sample_sub, end_token, fun_logps, fun_propose_tag=None, write_files=None, pi_true=None): # simulater self.simulater = simulater # length jump probabilities self.gamma = gamma self.pi_true = pi_true self.multiple_trial = multiple_trial self.sample_sub = sample_sub self.end_token = end_token # cmp the logps self.fun_logps = fun_logps # input a list of seq.Seq(), output np.array of the logps self.fun_propose_tag = fun_propose_tag # debug variables self.lj_times = 1 self.lj_success = 0 self.lj_rate = None self.mv_times = 1 self.mv_success = 0 self.mv_rate = None self.write_files = write_files @property def session(self): return tf.get_default_session() def local_jump(self, input_x, input_n): """ Args: seq_list: a list of seq.Seq() states_list: a list of LSTM states of each sequence Returns: """ batch_size = len(input_x) old_seqs = reader.extract_data_from_trf(input_x, input_n) new_seqs = [None] * batch_size acc_logps = np.zeros(batch_size) next_n = np.array([np.random.choice(len(self.gamma[n]), p=self.gamma[n]) for n in input_n]) jump_rate = np.array([np.log(self.gamma[j, k]) - np.log(self.gamma[k, j]) for j, k in zip(next_n, input_n)]) inc_index = np.where(next_n > input_n)[0] des_index = np.where(next_n < input_n)[0] equ_index = np.where(next_n == input_n)[0] if len(equ_index) > 0: acc_logps[equ_index] = 0 for i in equ_index: new_seqs[i] = old_seqs[i] if len(inc_index) > 0: chain_num = len(inc_index) init_seqs = input_x[inc_index] init_lens = input_n[inc_index] final_lens = next_n[inc_index] cur_jump_rate = jump_rate[inc_index] x_repeat = init_seqs.repeat(self.multiple_trial, axis=0) n_repeat = init_lens.repeat(self.multiple_trial, axis=0) m_repeat = final_lens.repeat(self.multiple_trial, axis=0) y_multiple, logp_y_multiple = self.simulater.local_jump_propose(x_repeat, n_repeat - 1, m_repeat - 1) # add end-tokens y_multiple = np.pad(y_multiple, [[0, 0], [0, 1]], 'constant') y_multiple[np.arange(y_multiple.shape[0]), m_repeat - 1] = self.end_token logw_multiple_y = self.fun_logps(y_multiple, m_repeat) draw_idxs = [sp.log_sample(sp.log_normalize(x)) for x in logw_multiple_y.reshape((chain_num, -1))] draw_idxs_flatten = [i * self.multiple_trial + draw_idxs[i] for i in range(len(draw_idxs))] new_y = y_multiple[draw_idxs_flatten] new_m = m_repeat[draw_idxs_flatten] g_add = logp_y_multiple[draw_idxs_flatten] assert np.all(new_m == final_lens) cur_acc_logps = cur_jump_rate + \ logsumexp(logw_multiple_y.reshape((chain_num, -1)), axis=-1) - \ np.log(self.multiple_trial) - g_add - self.fun_logps(init_seqs, init_lens) # summary results acc_logps[inc_index] = cur_acc_logps for i, y in zip(inc_index, reader.extract_data_from_trf(new_y, new_m)): new_seqs[i] = y if len(des_index) > 0: chain_num = len(des_index) init_seqs = input_x[des_index] init_lens = input_n[des_index] final_lens = next_n[des_index] cur_jump_rate = jump_rate[des_index] y_repeat = init_seqs.repeat(self.multiple_trial, axis=0) n_repeat = init_lens.repeat(self.multiple_trial, axis=0) m_repeat = final_lens.repeat(self.multiple_trial, axis=0) x_multiple, logp_x_multiple = self.simulater.local_jump_propose(y_repeat, m_repeat - 1, n_repeat - 1) # add end-token x_multiple = np.pad(x_multiple, [[0, 0], [0, 1]], 'constant') x_multiple[np.arange(x_multiple.shape[0]), n_repeat - 1] = self.end_token # set the initial_sequences for i in range(chain_num): # if len(x_multiple[i * self.config.multiple_trial]) != len(init_seqs[i]): # print(x_multiple[i * self.config.multiple_trial]) # print(init_seqs[i]) n = n_repeat[i * self.multiple_trial] x_multiple[i * self.multiple_trial, 0: n] = init_seqs[i, 0: init_lens[i]] logw_multiple_x = self.fun_logps(x_multiple, n_repeat) g_add = self.simulater.local_jump_condition(init_seqs, init_lens - 1, final_lens - 1) new_y = np.array(init_seqs) new_m = final_lens new_y[np.arange(new_y.shape[0]), new_m - 1] = self.end_token cur_acc_logps = cur_jump_rate + \ np.log(self.multiple_trial) + g_add + self.fun_logps(new_y, new_m) - \ logsumexp(logw_multiple_x.reshape((chain_num, -1)), axis=-1) # summary results acc_logps[des_index] = cur_acc_logps for i, y in zip(des_index, reader.extract_data_from_trf(new_y, new_m)): new_seqs[i] = y res_seqs = [] for i, (acc_logp, old_x, new_x) in enumerate(zip(acc_logps, old_seqs, new_seqs)): self.lj_times += 1 try: if sp.accept_logp(acc_logp): self.lj_success += 1 res_seqs.append(new_x) else: res_seqs.append(old_x) except ValueError: print('acc_logps=', acc_logps) print('acc_logp=', acc_logp) print('type=', type(acc_logps)) raise ValueError out_line = '[local jump] {}->{} acc_logp={:.2f} '.format( len(old_x), len(new_x), float(acc_logp) ) out_line += 'acc_rate={:.2f}% '.format(100.0 * self.lj_success / self.lj_times) out_line += '[{}/{}] '.format(self.lj_success, self.lj_times) f = self.write_files.get('markov') f.write(out_line + '\n') f.flush() return reader.produce_data_to_trf(res_seqs) def markov_move_batch_sub(self, input_x, input_n, beg_pos, end_pos): """ draw the values at positions x[beg_pos: beg_pos+sub_len] using multiple-trial MH sampling """ chain_num = len(input_x) # propose multiple ys for each x in input_x x_repeat = input_x.repeat(self.multiple_trial, axis=0).astype(input_x.dtype) n_repeat = input_n.repeat(self.multiple_trial, axis=0).astype(input_n.dtype) # propose y multiple_y, logp_multiple_y = self.simulater.markov_move_propose(x_repeat, n_repeat-1, beg_pos, end_pos) # return logp_multiple_y multiple_y[np.arange(len(multiple_y)), n_repeat-1] = self.end_token # set end tokens logw_multiple_y = self.fun_logps(multiple_y, n_repeat) - logp_multiple_y # logw_multiple_y = self.phi(multiple_y, n_repeat) -\ # self.simulater.markov_move_condition(self.get_session(), # x_repeat, n_repeat-1, multiple_y, # beg_pos, end_pos) # sample y draw_idxs = [sp.log_sample(sp.log_normalize(x)) for x in logw_multiple_y.reshape((chain_num, -1))] draw_idxs_flatten = [i * self.multiple_trial + draw_idxs[i] for i in range(len(draw_idxs))] new_y = multiple_y[draw_idxs_flatten] # draw reference x # as is independence sampling # there is no need to generate new samples logw_multiple_x = np.array(logw_multiple_y) logw_multiple_x[draw_idxs_flatten] = self.fun_logps(input_x, input_n) - \ self.simulater.markov_move_condition(input_x, input_n-1, beg_pos, end_pos) # compute the acceptance rate weight_y = logsumexp(logw_multiple_y.reshape((chain_num, -1)), axis=-1) weight_x = logsumexp(logw_multiple_x.reshape((chain_num, -1)), axis=-1) acc_logps = weight_y - weight_x # acceptance acc_probs = np.exp(np.minimum(0., acc_logps)) accept = acc_probs >= np.random.uniform(size=acc_probs.shape) res_x = np.where(accept.reshape(-1, 1), new_y, input_x) self.mv_times += accept.size self.mv_success += accept.sum() out_line = '[Markov move] acc=' + log.to_str(acc_probs) + \ ' weight_y=' + log.to_str(weight_y) + \ ' weight_x=' + log.to_str(weight_x) f = self.write_files.get('markov') f.write(out_line + '\n') f.flush() return res_x, input_n def markov_move(self, input_x, input_n): max_len = np.max(input_n) sub_sent = self.sample_sub if self.sample_sub > 0 else max_len # skip the beg / end tokens for beg_pos in range(1, max_len-1, sub_sent): # find all the sequence whose length is larger than beg_pos idx = np.where(input_n-1 > beg_pos)[0] # desicide the end position end_pos = min(max_len-1, beg_pos + sub_sent) local_x, local_n = self.markov_move_batch_sub(input_x[idx], input_n[idx], beg_pos, end_pos) input_x[idx] = local_x input_n[idx] = local_n return input_x, input_n def update(self, sample_list): """update the propose lstm model""" self.simulater.update(sample_list) def eval(self, seq_list): return self.simulater.eval(seq_list) def reset_dbg(self): self.lj_times = 0 self.lj_success = 0 self.mv_times = 0 self.mv_success = 0 def update_dbg(self): def interpolate(old_rate, new_rate): if old_rate is None: return new_rate return 0.9 * old_rate + 0.1 * new_rate if self.lj_times > 0: self.lj_rate = interpolate(self.lj_rate, self.lj_success / self.lj_times) if self.mv_times > 0: self.mv_rate = interpolate(self.mv_rate, self.mv_success / self.mv_times) class MCMC(RJMCMC): def local_jump(self, seq_list, states_list): init_len = np.array([len(s) for s in seq_list]) next_len = np.random.choice(len(self.pi_true), size=len(seq_list), p=self.pi_true) inc_index = np.where(next_len > init_len)[0] des_index = np.where(next_len < init_len)[0] equ_index = np.where(next_len == init_len)[0] next_seqs = [None] * len(seq_list) next_states = [None] * len(states_list) if len(equ_index) > 0: for i in equ_index: next_seqs[i] = seq_list[i] next_states[i] = states_list[i] if len(inc_index) > 0: local_seqs, local_states, _ = self.propose_seq(seq_list=[seq_list[i] for i in inc_index], states_list=[states_list[i] for i in inc_index], pos_vec=init_len[inc_index] - 1, num_vec=next_len[inc_index] - init_len[inc_index]) for s in local_seqs: s.append(self.end_tokens) for i, s, st in zip(inc_index, local_seqs, local_states): next_seqs[i] = s next_states[i] = st if len(des_index) > 0: for i in des_index: next_seqs[i] = seq_list[i][0: next_len[i]-1] next_seqs[i].append(self.end_tokens) next_states[i] = states_list[i][0: next_len[i]-1] return next_seqs, next_states
#!/usr/bin/env python """ Author: Adam White, Matthew Schlegel, Mohammad M. Ajallooeian, Sina Ghiassian Purpose: Skeleton code for Monte Carlo Exploring Starts Control Agent for use on A3 of Reinforcement learning course University of Alberta Fall 2017 """ from utils import rand_in_range, rand_un import numpy as np import random import pickle w = None x = None current_state = None prev_state = None alpha = 0.5 gamma = 1.0 def agent_init(): global w,x,current_state,prev_state """ Hint: Initialize the variables that need to be reset before each run begins Returns: nothing """ #print("n = %d" %(n)) x = np.identity(1000) w = np.zeros(1000) current_state = np.zeros(1) prev_state = np.zeros(1) return #initialize the policy array in a smart way def agent_start(state): global w,x,current_state,prev_state """ Hint: Initialize the variavbles that you want to reset before starting a new episode Arguments: state: numpy array Returns: action: integer """ # pick the first action, don't forget about exploring starts current_state[0] = state[0] prev_state[0] = current_state[0] if random.randint(0,1) : #go right rnum = random.randint(1,100) if rnum+state[0]>1000: action = 1000-state[0] else: action = rnum else: #go left rnum = (random.randint(1,100))*(-1) if rnum+state[0]<1: action = state[0]*(-1) else: action = rnum return action def agent_step(reward, state): # returns NumPy array, reward: floating point, this_observation: NumPy array global w,x,current_state,prev_state """ Arguments: reward: floting point, state: integer Returns: action: integer """ # select an action, based on Q current_state[0] = state[0] w = w + alpha*(reward+gamma*w[current_state[0]-1]- w[prev_state[0]-1])*x[prev_state[0]-1] if random.randint(0,1) : #go right rnum = random.randint(1,100) if rnum+state[0]>1000: action = 1000-state[0] else: action = rnum else: #go left rnum = (random.randint(1,100))*(-1) if rnum+state[0]<1: action = state[0]*(-1) else: action = rnum prev_state[0] = current_state[0] return action def agent_end(reward): global w,x,current_state,prev_state """ Arguments: reward: floating point Returns: Nothing """ # do learning and update pi w = w + alpha*(reward-w[prev_state[0]-1])*x[prev_state[0]-1] return def agent_cleanup(): """ This function is not used """ # clean up return def agent_message(in_message): # returns string, in_message: string global w,x,current_state,prev_state """ Arguments: in_message: string returns: The value function as a string. This function is complete. You do not need to add code here. """ # should not need to modify this function. Modify at your own risk if (in_message == 'ValueFunction'): return else: return "I don't know what to return!!" def getReturn(): return w
#!/usr/bin/env python ## @file configSerialize.py ## @brief Format a python VMOMI object in config serializer format. ## ## Detailed description (for Doxygen goes here) """ Format a python VMOMI object in config serializer format. Detailed description (for [e]pydoc goes here) """ from pyVmomi import VmomiSupport from pyVmomi.VmomiSupport import GetVmodlName from six.moves import range INDENT = " " def SerializeToConfig(val, info=VmomiSupport.Object(name="", index=-1, type=object, flags=0), indent=0, tag=None): """ Format a python VMOMI object in config serializer format. @param val: the object @param info: the field @type indent: int @param indent: the level of indentation @rtype: str @return: the formatted string @warning: This function is not well tested. @note: Deserialization code has not been implemented. """ # Unset properties should not be serialized if val == None or (isinstance(val, list) and len(val) == 0): return None valType = GetVmodlName(val.__class__) start = indent * INDENT if info.name: start = start + ("<%s>" % info.name) end = "</%s>" % info.name indent = indent + 1 # Need to emit additional information for properties declared Any if info.type == object: start = start + "\n%s<_type>%s</_type>" % (indent * INDENT, valType) start = start + "\n%s<_value>" % (indent * INDENT) end = "</_value>\n%s" % ((indent - 1) * INDENT) + end indent = indent + 1 elif info.index != -1: start = start + "<e id=\"%d\">" % info.index end = "</e>\n" indent = indent + 1 else: start = start + "<ConfigRoot>" end = "</ConfigRoot>" indent = indent + 1 if tag: start += "\n%s<%s>" % (indent * INDENT, tag) end = "</%s>\n%s" % (tag, (indent - 1) * INDENT) + end indent = indent + 1 if isinstance(val, VmomiSupport.DataObject): if info.flags & VmomiSupport.F_LINK: result = "\n%s<_type>%s</_type>\n%s<_key>%s</_key>\n" % \ (indent * INDENT, valType, indent * INDENT, val.key) else: result = "\n%s<_type>%s</_type>\n%s\n%s" % \ (indent * INDENT, valType, '\n'.join([x for x in [SerializeToConfig(getattr(val, prop.name), prop, indent) for prop in sorted(val._GetPropertyList(), lambda x, y: cmp(x.name, y.name))] if x != None]), (indent - 1) * INDENT) elif isinstance(val, VmomiSupport.ManagedObject): result = "\n%s<_type>%s</_type>\n%s<moid>%s</moid>\n" % \ (indent * INDENT, valType, indent * INDENT, val._moId) elif isinstance(val, list): itemType = GetVmodlName( getattr(val, 'Item', getattr(info.type, 'Item', object))) result = "\n%s<_length>%d</_length>\n%s<_type>%s[]</_type>\n" % \ (indent * INDENT, len(val), indent * INDENT, itemType) results = [] for i in range(len(val)): item = VmomiSupport.Object(name="", index=i, type=itemType, flags=info.flags) results.append(SerializeToConfig(val[i], item, indent)) result = result + ''.join(results) + ((indent - 1) * INDENT) elif isinstance(val, type): result = val.__name__ elif isinstance(val, VmomiSupport.ManagedMethod): result = '%s' % (val.info.name) elif isinstance(val, bool): result = val and "true" or "false" else: result = val return start + str(result) + end def main(): print(SerializeToConfig(3)) print(SerializeToConfig([3, 4, 5])) if __name__ == "__main__": main()
BLOCK_CHARACTER = '⊗' FREE_CHARACTER = '✰' PATH_CHARACTER = '✱' START_CHARACTER = '☖' END_CHARACTER = '☗'
# This file is part of the Extra-P software (http://www.scalasca.org/software/extra-p) # # Copyright (c) 2020, Technical University of Darmstadt, Germany # # This software may be modified and distributed under the terms of a BSD-style license. # See the LICENSE file in the base directory for details. from dataclasses import dataclass from dataclasses import field as d_field from typing import TypeVar, Generic, Sequence, Type, AnyStr, Mapping, Union, Callable, Any from extrap.modelers.abstract_modeler import AbstractModeler T = TypeVar('T') @dataclass class ModelerOption(Generic[T]): value: T type: Type description: str name: str = None range: Union[Mapping[AnyStr, T], range] = None group = None field: str = None on_change: Callable[[Any, T], None] = d_field(default=None, compare=False, hash=False) @dataclass class ModelerOptionsGroup: name: str options: Sequence[ModelerOption] description: str def items(self): return ((o.field, o) for o in self.options) class _ModelerOptionsClass: def __call__(self, original_class: AbstractModeler) -> AbstractModeler: if hasattr(original_class, 'OPTIONS'): original_class.OPTIONS = dict(getattr(original_class, 'OPTIONS')) else: original_class.OPTIONS = {} option_storage = [] for name in original_class.__dict__: option: ModelerOption = original_class.__dict__[name] if isinstance(option, ModelerOption): if option.group is not None: original_class.OPTIONS[option.group.name] = option.group else: original_class.OPTIONS[name] = option option.field = name if option.on_change is not None: def make_property(opt): # required for closure def getter(m_self): return getattr(m_self, '__OPTION_' + opt.field) def setter(m_self, v): setattr(m_self, '__OPTION_' + opt.field, v) opt.on_change(m_self, v) return property(getter, setter) setattr(original_class, name, make_property(option)) option_storage.append(('__OPTION_' + option.field, option.value)) else: setattr(original_class, name, option.value) for n, v in option_storage: setattr(original_class, n, v) return original_class @staticmethod def add(value: T, type: Type = str, description: str = None, name: str = None, range: Union[Mapping[AnyStr, T], range] = None, on_change: Callable[[Any, T], None] = None) -> T: """ Creates a new modeler option. :param value: The default value of the option :param type: The data type of the value. Must support the conversion from a string if called with a string parameter. :param description: A description of the option. Is shown in the command-line help and as tooltip in the GUI. :param name: Alternative display name. Replaces the automatic conversion of the field name. :param range: A range of possible alternatives, either a list, a mapping or a range. :param on_change: Callback function, that is called when the value of the option is changed. Its arguments are the instance self and the new value. :return: A ModelerOption object, that is processed during options creation and replaced by the value. """ return ModelerOption(value=value, type=type, description=description, name=name, range=range, on_change=on_change) @staticmethod def group(name: str, *options: ModelerOption, description: str = None) -> ModelerOptionsGroup: """ Groups options under the given name and adds an optional description for the group. :param name: Name of the group. Is shown in the command-line help and in the GUI. :param options: One or more options to group. :param description: A description of the option. Is shown as tooltip in the GUI. """ group = ModelerOptionsGroup(name=name, description=description, options=options) for o in options: o.group = group return group @staticmethod def equal(self: AbstractModeler, other: AbstractModeler) -> bool: if not isinstance(other, AbstractModeler): return NotImplemented elif self is other: return True elif hasattr(self, 'OPTIONS') != hasattr(other, 'OPTIONS'): return False elif not hasattr(self, 'OPTIONS'): return True elif self.OPTIONS != other.OPTIONS: return False for o in modeler_options.iter(self): if getattr(self, o.field) != getattr(other, o.field): return False return True @staticmethod def iter(modeler): if not hasattr(modeler, 'OPTIONS'): return for o in getattr(modeler, 'OPTIONS').values(): if isinstance(o, ModelerOptionsGroup): for go in o.options: yield go else: yield o modeler_options = _ModelerOptionsClass()
""" Including Libraries """ import csv import cv2 import sklearn import matplotlib.image as mpimg import matplotlib.pyplot as plt import numpy as np """ Defining Function """ def Image_Visualization(Images): #Sort and Print Left, Center & Right Images center_image_name = img_path + Images[50][0].split('\\')[-1] center_image = mpimg.imread(center_image_name) flipped_center_image = np.fliplr(center_image) left_image_name = img_path + Images[50][1].split('\\')[-1] left_image = mpimg.imread(left_image_name) flipped_left_image = np.fliplr(left_image) right_image_name = img_path + Images[50][2].split('\\')[-1] right_image = mpimg.imread(right_image_name) flipped_right_image = np.fliplr(right_image) fig1 = plt.figure() plt.subplot(3,2,1) plt.imshow(left_image) plt.title('Left Camera Image') plt.subplot(3,2,2) plt.imshow(flipped_left_image) plt.title('Flipped Left Camera Image') plt.subplot(3,2,3) plt.imshow(center_image) plt.title('Center Camera Image') plt.subplot(3,2,4) plt.imshow(flipped_center_image) plt.title('Flipped Center Camera Image') plt.subplot(3,2,5) plt.imshow(right_image) plt.title('Right Camera Image') plt.subplot(3,2,6) plt.imshow(flipped_right_image) plt.title('Flipped Right Camera Image') plt.subplots_adjust(top=0.92, bottom=0.08, left=0.10, right=0.95, hspace=0.5, wspace=0.5) plt.savefig('Image_Visualization_Track_2.png') """ Workspace """ #Load and Initialize Data img_path = "./Track_2_Data/IMG/" csv_path = "./Track_2_Data/" sample_images = [] with open(csv_path + "driving_log.csv",'r') as f: reader = csv.reader(f) next(reader, None) #skips the headers for line in reader: sample_images.append(line) sklearn.utils.shuffle(sample_images) #Shuffle the data Image_Visualization(sample_images)
# -*- coding: utf-8 -*- """ Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community Edition) available. Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved. Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://opensource.org/licenses/MIT Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ import functools import json import logging import os import requests from . import env from .conf import PLUGIN_CLIENT_LOGGER from .exceptions import PluginServiceNotDeploy, PluginServiceNetworkError, PluginServiceNotUse logger = logging.getLogger(PLUGIN_CLIENT_LOGGER) def data_parser(func): """用于解析标准格式接口返回数据""" @functools.wraps(func) def wrapper(*args, **kwargs): try: result = func(*args, **kwargs) except Exception as e: message = f"plugin client request {func.__name__} error: {e}, with params: {args} and kwargs: {kwargs}." return False, {"message": message} if not result.get("result"): logger.error(f"{func.__name__} request error: {result.get('message')}") data = {"message": result.get("message")} if "trace_id" in result: data["trace_id"] = result["trace_id"] return False, data else: data = result.get("data") if "trace_id" in result and isinstance(data, dict): data["trace_id"] = result["trace_id"] return True, data return wrapper def json_response_decoder(func): """用于处理json格式接口返回""" @functools.wraps(func) def wrapper(*args, **kwargs): response = func(*args, **kwargs) if response.status_code != 200: message = ( f"{func.__name__} gets error status code [{response.status_code}], " f"request with params: {args} and kwargs: {kwargs}. " ) logger.error(message + f"response content: {response.content}") return {"result": False, "data": None, "message": message} return response.json() return wrapper class PluginServiceApiClient: def __init__(self, plugin_code, plugin_host=None): if not env.USE_PLUGIN_SERVICE: raise PluginServiceNotUse("插件服务未启用，请联系管理员进行配置") self.plugin_code = plugin_code if not plugin_host: result = PluginServiceApiClient.get_plugin_app_detail(plugin_code) self.plugin_host = os.path.join(result["data"]["url"], "bk_plugin/") @staticmethod @json_response_decoder def get_paas_plugin_info(plugin_code=None, environment=None, limit=100, offset=0, search_term=None): """可支持请求获取插件服务列表或插件详情""" url = os.path.join( f"{env.APIGW_NETWORK_PROTOCAL}://paasv3.{env.APIGW_URL_SUFFIX}", environment or env.APIGW_ENVIRONMENT, "system/bk_plugins", plugin_code if plugin_code else "", ) params = {"private_token": env.PAASV3_APIGW_API_TOKEN} if not plugin_code: # list接口相关参数 params.update({"limit": limit, "offset": offset, "has_deployed": True}) if search_term: params.update({"search_term": search_term}) return requests.get(url, params=params) @data_parser @json_response_decoder def invoke(self, version, data): url = os.path.join( f"{env.APIGW_NETWORK_PROTOCAL}://{self.plugin_code}.{env.APIGW_URL_SUFFIX}", env.APIGW_ENVIRONMENT, "invoke", version, ) headers = { "X-Bkapi-Authorization": json.dumps( {"bk_app_code": env.PLUGIN_SERVICE_APIGW_APP_CODE, "bk_app_secret": env.PLUGIN_SERVICE_APIGW_APP_SECRET} ), "Content-Type": "application/json", } return requests.post(url, data=json.dumps(data), headers=headers) @json_response_decoder def get_logs(self, trace_id): url = os.path.join(self.plugin_host, "logs", trace_id) return requests.get(url) @json_response_decoder def get_meta(self): url = os.path.join(self.plugin_host, "meta") return requests.get(url) @json_response_decoder def get_detail(self, version): url = os.path.join(self.plugin_host, "detail", version) return requests.get(url) @data_parser @json_response_decoder def get_schedule(self, trace_id): url = os.path.join(self.plugin_host, "schedule", trace_id) return requests.get(url) @staticmethod def get_plugin_list(search_term=None, limit=100, offset=0): # 如果不启动插件服务，直接返回空列表 if not env.USE_PLUGIN_SERVICE: return {"result": True, "message": "插件服务未启用，请联系管理员进行配置", "data": {"count": 0, "plugins": []}} result = PluginServiceApiClient.get_paas_plugin_info( search_term=search_term, environment="prod", limit=limit, offset=offset ) if result.get("result") is False: return result plugins = [ { "code": plugin["code"], "name": plugin["name"], "logo_url": plugin["logo_url"], "creator": plugin["creator"], } for plugin in result["results"] ] count = len(plugins) return {"result": True, "message": None, "data": {"count": count, "plugins": plugins}} @staticmethod def get_plugin_app_detail(plugin_code): # 如果不启动插件服务，则不支持请求插件服务详情 if not env.USE_PLUGIN_SERVICE: return {"result": False, "message": "插件服务未启用，请联系管理员进行配置", "data": None} result = PluginServiceApiClient.get_paas_plugin_info(plugin_code, environment="prod") if result.get("result") is False: raise PluginServiceNetworkError(f"Plugin Service {plugin_code} network error: {result.get('message')}") info = result["deployed_statuses"][env.APIGW_ENVIRONMENT] if not info["deployed"]: raise PluginServiceNotDeploy(f"Plugin Service {plugin_code} does not deployed.") plugin = result["plugin"] return { "result": True, "message": None, "data": {"url": info["url"], "name": plugin["name"], "code": plugin["code"], "updated": plugin["updated"]}, }
from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals import unittest import hypothesis.strategies as st from hypothesis import given import numpy as np from caffe2.python import core, workspace import caffe2.python.hypothesis_test_util as hu import caffe2.python.ideep_test_util as mu @unittest.skipIf(not workspace.C.use_mkldnn, "No MKLDNN support.") class ExpandDimsSqueezeTest(hu.HypothesisTestCase): @given( squeeze_dims=st.lists(st.integers(0, 3), min_size=1, max_size=3), inplace=st.booleans(), **mu.gcs ) def test_squeeze(self, squeeze_dims, inplace, gc, dc): shape = [ 1 if dim in squeeze_dims else np.random.randint(1, 5) for dim in range(4) ] X = np.random.rand(*shape).astype(np.float32) op = core.CreateOperator( "Squeeze", "X", "X" if inplace else "Y", dims=squeeze_dims ) self.assertDeviceChecks(dc, op, [X], [0]) @given( squeeze_dims=st.lists(st.integers(0, 3), min_size=1, max_size=3), inplace=st.booleans(), **mu.gcs_cpu_ideep ) def test_squeeze_fallback(self, squeeze_dims, inplace, gc, dc): shape = [ 1 if dim in squeeze_dims else np.random.randint(1, 5) for dim in range(4) ] X = np.random.rand(*shape).astype(np.float32) op0 = core.CreateOperator( "Squeeze", "X0", "X0" if inplace else "Y0", dims=squeeze_dims, device_option=dc[0] ) workspace.FeedBlob('X0', X, dc[0]) workspace.RunOperatorOnce(op0) Y0 = workspace.FetchBlob("X0" if inplace else "Y0") op1 = core.CreateOperator( "Squeeze", "X1", "X1" if inplace else "Y1", dims=squeeze_dims, device_option=dc[1] ) workspace.FeedBlob('X1', X, dc[0]) workspace.RunOperatorOnce(op1) Y1 = workspace.FetchBlob("X1" if inplace else "Y1") if not np.allclose(Y0, Y1, atol=0.01, rtol=0.01): print(Y1.flatten()) print(Y0.flatten()) print(np.max(np.abs(Y1 - Y0))) self.assertTrue(False) @given( squeeze_dims=st.lists(st.integers(0, 3), min_size=1, max_size=3), inplace=st.booleans(), **mu.gcs ) def test_expand_dims(self, squeeze_dims, inplace, gc, dc): oshape = [ 1 if dim in squeeze_dims else np.random.randint(2, 5) for dim in range(4) ] nshape = [s for s in oshape if s!=1] expand_dims = [i for i in range(len(oshape)) if oshape[i]==1] X = np.random.rand(*nshape).astype(np.float32) op = core.CreateOperator( "ExpandDims", "X", "X" if inplace else "Y", dims=expand_dims ) self.assertDeviceChecks(dc, op, [X], [0]) @given( squeeze_dims=st.lists(st.integers(0, 3), min_size=1, max_size=3), inplace=st.booleans(), **mu.gcs_cpu_ideep ) def test_expand_dims_fallback(self, squeeze_dims, inplace, gc, dc): oshape = [ 1 if dim in squeeze_dims else np.random.randint(2, 5) for dim in range(4) ] nshape = [s for s in oshape if s!=1] expand_dims = [i for i in range(len(oshape)) if oshape[i]==1] X = np.random.rand(*nshape).astype(np.float32) op0 = core.CreateOperator( "ExpandDims", "X0", "X0" if inplace else "Y0", dims=expand_dims, device_option=dc[0] ) workspace.FeedBlob('X0', X, dc[0]) workspace.RunOperatorOnce(op0) Y0 = workspace.FetchBlob("X0" if inplace else "Y0") op1 = core.CreateOperator( "ExpandDims", "X1", "X1" if inplace else "Y1", dims=expand_dims, device_option=dc[1] ) workspace.FeedBlob('X1', X, dc[0]) workspace.RunOperatorOnce(op1) Y1 = workspace.FetchBlob("X1" if inplace else "Y1") if not np.allclose(Y0, Y1, atol=0.01, rtol=0.01): print(Y1.flatten()) print(Y0.flatten()) print(np.max(np.abs(Y1 - Y0))) self.assertTrue(False) if __name__ == "__main__": unittest.main()
import sys import glob sam_files = glob.glob("*magicblast*.sam") print("alignment\tscore\tlength") for sfile in sam_files: for line in open(sfile): la = line.strip().split("\t") if (len(la)) == 14: length = len(la[9]) score = la[12].split(":")[-1] print("{}\t{}\t{}".format(sfile,score,length))
print('ola, isso é um teste de versionamento') print('')
from setuptools import setup setup( name = 'tcedata', packages = ['tcedata'], version = '1.0', license='MIT', description = 'Tools to download data from storages hosted by UvA-TCE to user workspace.', author = '@jiqicn', author_email = 'qiji1988ben@gmail.com', url = 'https://github.com/jiqicn/tcedata', download_url = 'https://github.com/jiqicn/tcedata', keywords = ['Storage', 'Jupyter', 'Widgets', "Minio"], install_requires=[ 'minio', 'pandas', 'ipywidgets' 'ipyfilechooser', ], classifiers=[ 'Development Status :: 5 - Production/Stable', 'Intended Audience :: Developers', 'Topic :: Software Development :: Build Tools', 'License :: OSI Approved :: MIT License', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.8', ], )
# Copyright 2021 Uptimedog # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from django.db import models class Option(models.Model): """Option Model""" key = models.CharField(max_length=30, db_index=True, verbose_name="Key") value = models.CharField(max_length=200, verbose_name="Value") autoload = models.BooleanField(default=False, verbose_name="Autoload") created_at = models.DateTimeField(auto_now_add=True, verbose_name="Created at") updated_at = models.DateTimeField(auto_now=True, verbose_name="Updated at") def __str__(self): return self.key class Meta: db_table = "app_option"
#!/usr/bin/python # -*- coding: UTF-8 -*- if __name__ == '__main__': class student: x = 0 c = 0 def f(stu): stu.x = 20 stu.c = 'c' a = student a.x = 3 a.c = 'a' f(a) print a.x, a.c