paulo037/starcoder · Datasets at Hugging Face

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ultracart/models/item_identifiers.py	UltraCart/rest_api_v2_sdk_python	1	1617189	<filename>ultracart/models/item_identifiers.py # coding: utf-8 """ UltraCart Rest API V2 UltraCart REST API Version 2 # noqa: E501 OpenAPI spec version: 2.0.0 Contact: <EMAIL> Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re # noqa: F401 import six class ItemIdentifiers(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'barcode': 'str', 'manufacturer_name': 'str', 'manufacturer_sku': 'str', 'unspsc': 'str' } attribute_map = { 'barcode': 'barcode', 'manufacturer_name': 'manufacturer_name', 'manufacturer_sku': 'manufacturer_sku', 'unspsc': 'unspsc' } def __init__(self, barcode=None, manufacturer_name=None, manufacturer_sku=None, unspsc=None): # noqa: E501 """ItemIdentifiers - a model defined in Swagger""" # noqa: E501 self._barcode = None self._manufacturer_name = None self._manufacturer_sku = None self._unspsc = None self.discriminator = None if barcode is not None: self.barcode = barcode if manufacturer_name is not None: self.manufacturer_name = manufacturer_name if manufacturer_sku is not None: self.manufacturer_sku = manufacturer_sku if unspsc is not None: self.unspsc = unspsc @property def barcode(self): """Gets the barcode of this ItemIdentifiers. # noqa: E501 Barcode # noqa: E501 :return: The barcode of this ItemIdentifiers. # noqa: E501 :rtype: str """ return self._barcode @barcode.setter def barcode(self, barcode): """Sets the barcode of this ItemIdentifiers. Barcode # noqa: E501 :param barcode: The barcode of this ItemIdentifiers. # noqa: E501 :type: str """ if barcode is not None and len(barcode) > 30: raise ValueError("Invalid value for `barcode`, length must be less than or equal to `30`") # noqa: E501 self._barcode = barcode @property def manufacturer_name(self): """Gets the manufacturer_name of this ItemIdentifiers. # noqa: E501 Manufacturer Name # noqa: E501 :return: The manufacturer_name of this ItemIdentifiers. # noqa: E501 :rtype: str """ return self._manufacturer_name @manufacturer_name.setter def manufacturer_name(self, manufacturer_name): """Sets the manufacturer_name of this ItemIdentifiers. Manufacturer Name # noqa: E501 :param manufacturer_name: The manufacturer_name of this ItemIdentifiers. # noqa: E501 :type: str """ if manufacturer_name is not None and len(manufacturer_name) > 50: raise ValueError("Invalid value for `manufacturer_name`, length must be less than or equal to `50`") # noqa: E501 self._manufacturer_name = manufacturer_name @property def manufacturer_sku(self): """Gets the manufacturer_sku of this ItemIdentifiers. # noqa: E501 Manufacturer SKU # noqa: E501 :return: The manufacturer_sku of this ItemIdentifiers. # noqa: E501 :rtype: str """ return self._manufacturer_sku @manufacturer_sku.setter def manufacturer_sku(self, manufacturer_sku): """Sets the manufacturer_sku of this ItemIdentifiers. Manufacturer SKU # noqa: E501 :param manufacturer_sku: The manufacturer_sku of this ItemIdentifiers. # noqa: E501 :type: str """ if manufacturer_sku is not None and len(manufacturer_sku) > 25: raise ValueError("Invalid value for `manufacturer_sku`, length must be less than or equal to `25`") # noqa: E501 self._manufacturer_sku = manufacturer_sku @property def unspsc(self): """Gets the unspsc of this ItemIdentifiers. # noqa: E501 UNSPSC # noqa: E501 :return: The unspsc of this ItemIdentifiers. # noqa: E501 :rtype: str """ return self._unspsc @unspsc.setter def unspsc(self, unspsc): """Sets the unspsc of this ItemIdentifiers. UNSPSC # noqa: E501 :param unspsc: The unspsc of this ItemIdentifiers. # noqa: E501 :type: str """ if unspsc is not None and len(unspsc) > 20: raise ValueError("Invalid value for `unspsc`, length must be less than or equal to `20`") # noqa: E501 self._unspsc = unspsc def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.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 if issubclass(ItemIdentifiers, dict): for key, value in self.items(): result[key] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) 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nuclear/types/time.py	igrek51/glue	6	166087	from datetime import datetime, date, time from typing import Callable from nuclear.parser.error import CliSyntaxError def datetime_format(formats: str) -> Callable[[str], datetime]: """format: %Y-%m-%d %H:%M:%S""" def parser(arg: str): return _parse_date_formats(arg, formats) return parser def today_format(formats: str) -> Callable[[str], datetime]: """format: %Y-%m-%d %H:%M:%S""" def parser(arg: str): today: date = datetime.now().date() parsed_time: time = _parse_date_formats(arg, formats).time() return datetime.combine(today, parsed_time) return parser iso_date: Callable[[str], datetime] = datetime_format('%Y-%m-%d') iso_time: Callable[[str], datetime] = datetime_format('%H:%M:%S') iso_datetime: Callable[[str], datetime] = datetime_format('%Y-%m-%d %H:%M:%S') def _parse_date_formats(s: str, *formats: str) -> datetime: for time_format in formats: try: return _parse_date(s, time_format) except ValueError: pass raise CliSyntaxError('invalid datetime format: ' + s) def _parse_date(s: str, time_format: str): return datetime.strptime(s, time_format)	[ 1, 515, 12865, 1053, 12865, 29892, 2635, 29892, 931, 13, 3166, 19229, 1053, 8251, 519, 13, 13, 3166, 20346, 29889, 16680, 29889, 2704, 1053, 315, 492, 16676, 2392, 13, 13, 13, 1753, 12865, 29918, 4830, 10456, 689, 1446, 29901, 851, 29897, 1599, 8251, 519, 8999, 710, 1402, 12865, 5387, 13, 1678, 9995, 4830, 29901, 1273, 29979, 19222, 29885, 19222, 29881, 1273, 29950, 16664, 29924, 16664, 29903, 15945, 29908, 13, 13, 1678, 822, 13812, 29898, 1191, 29901, 851, 1125, 13, 4706, 736, 903, 5510, 29918, 1256, 29918, 689, 1446, 29898, 1191, 29892, 334, 689, 1446, 29897, 13, 13, 1678, 736, 13812, 13, 13, 13, 1753, 9826, 29918, 4830, 10456, 689, 1446, 29901, 851, 29897, 1599, 8251, 519, 8999, 710, 1402, 12865, 5387, 13, 1678, 9995, 4830, 29901, 1273, 29979, 19222, 29885, 19222, 29881, 1273, 29950, 16664, 29924, 16664, 29903, 15945, 29908, 13, 13, 1678, 822, 13812, 29898, 1191, 29901, 851, 1125, 13, 4706, 9826, 29901, 2635, 353, 12865, 29889, 3707, 2141, 1256, 580, 13, 4706, 21213, 29918, 2230, 29901, 931, 353, 903, 5510, 29918, 1256, 29918, 689, 1446, 29898, 1191, 29892, 334, 689, 1446, 467, 2230, 580, 13, 4706, 736, 12865, 29889, 17743, 457, 29898, 27765, 29892, 21213, 29918, 2230, 29897, 13, 13, 1678, 736, 13812, 13, 13, 13, 10718, 29918, 1256, 29901, 8251, 519, 8999, 710, 1402, 12865, 29962, 353, 12865, 29918, 4830, 877, 29995, 29979, 19222, 29885, 19222, 29881, 1495, 13, 10718, 29918, 2230, 29901, 8251, 519, 8999, 710, 1402, 12865, 29962, 353, 12865, 29918, 4830, 877, 29995, 29950, 16664, 29924, 16664, 29903, 1495, 13, 10718, 29918, 12673, 29901, 8251, 519, 8999, 710, 1402, 12865, 29962, 353, 12865, 29918, 4830, 877, 29995, 29979, 19222, 29885, 19222, 29881, 1273, 29950, 16664, 29924, 16664, 29903, 1495, 13, 13, 13, 1753, 903, 5510, 29918, 1256, 29918, 689, 1446, 29898, 29879, 29901, 851, 29892, 334, 689, 1446, 29901, 851, 29897, 1599, 12865, 29901, 13, 1678, 363, 931, 29918, 4830, 297, 21971, 29901, 13, 4706, 1018, 29901, 13, 9651, 736, 903, 5510, 29918, 1256, 29898, 29879, 29892, 931, 29918, 4830, 29897, 13, 4706, 5174, 7865, 2392, 29901, 13, 9651, 1209, 13, 1678, 12020, 315, 492, 16676, 2392, 877, 20965, 12865, 3402, 29901, 525, 718, 269, 29897, 13, 13, 13, 1753, 903, 5510, 29918, 1256, 29898, 29879, 29901, 851, 29892, 931, 29918, 4830, 29901, 851, 1125, 13, 1678, 736, 12865, 29889, 710, 415, 603, 29898, 29879, 29892, 931, 29918, 4830, 29897, 13, 2 ]
databricks/koalas/strings.py	mercileesb/koalas	1	15512	# # Copyright (C) 2019 Databricks, 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. # """ String functions on Koalas Series """ from typing import TYPE_CHECKING import numpy as np from pyspark.sql.types import StringType, BinaryType, BooleanType from databricks.koalas.base import _wrap_accessor_pandas if TYPE_CHECKING: import databricks.koalas as ks class StringMethods(object): """String methods for Koalas Series""" def __init__(self, series: 'ks.Series'): if not isinstance(series.spark_type, (StringType, BinaryType)): raise ValueError( "Cannot call StringMethods on type {}" .format(series.spark_type)) self._data = series self.name = self._data.name # Methods def capitalize(self) -> 'ks.Series': """ Convert Strings in the series to be capitalized. """ return _wrap_accessor_pandas( self, lambda x: x.str.capitalize(), StringType() ).alias(self.name) def lower(self) -> 'ks.Series': """ Convert strings in the Series/Index to all lowercase. """ return _wrap_accessor_pandas( self, lambda x: x.str.lower(), StringType() ).alias(self.name) def upper(self) -> 'ks.Series': """ Convert strings in the Series/Index to all uppercase. """ return _wrap_accessor_pandas( self, lambda x: x.str.upper(), StringType() ).alias(self.name) def swapcase(self) -> 'ks.Series': """ Convert strings in the Series/Index to be swapcased. """ return _wrap_accessor_pandas( self, lambda x: x.str.swapcase(), StringType() ).alias(self.name) def startswith(self, pattern, na=np.NaN) -> 'ks.Series': """ Test if the start of each string element matches a pattern. Equivalent to :func:`str.startswith`. Parameters ---------- pattern : str Character sequence. Regular expressions are not accepted. na : object, defulat NaN Object shown if element is not a string. Returns ------- Series of bool Koalas Series of booleans indicating whether the given pattern matches the start of each string element. """ return _wrap_accessor_pandas( self, lambda x: x.str.startswith(pattern, na), BooleanType() ).alias(self.name) def endswith(self, pattern, na=np.NaN) -> 'ks.Series': """ Test if the end of each string element matches a pattern. Equivalent to :func:`str.endswith`. Parameters ---------- pattern : str Character sequence. Regular expressions are not accepted. na : object, defulat NaN Object shown if element is not a string. Returns ------- Series of bool Koalas Series of booleans indicating whether the given pattern matches the end of each string element. """ return _wrap_accessor_pandas( self, lambda x: x.str.endswith(pattern, na), BooleanType() ).alias(self.name) def strip(self, to_strip=None) -> 'ks.Series': """ Remove leading and trailing characters. Strip whitespaces (including newlines) or a set of specified characters from each string in the Series/Index from left and right sides. Equivalent to :func:`str.strip`. Parameters ---------- to_strip : str Specifying the set of characters to be removed. All combinations of this set of characters will be stripped. If None then whitespaces are removed. Returns ------- Series of str """ return _wrap_accessor_pandas( self, lambda x: x.str.strip(to_strip), StringType() ).alias(self.name) def lstrip(self, to_strip=None) -> 'ks.Series': """ Remove leading characters. Strip whitespaces (including newlines) or a set of specified characters from each string in the Series/Index from left side. Equivalent to :func:`str.lstrip`. Parameters ---------- to_strip : str Specifying the set of characters to be removed. All combinations of this set of characters will be stripped. If None then whitespaces are removed. Returns ------- Series of str """ return _wrap_accessor_pandas( self, lambda x: x.str.lstrip(to_strip), StringType() ).alias(self.name) def rstrip(self, to_strip=None) -> 'ks.Series': """ Remove trailing characters. Strip whitespaces (including newlines) or a set of specified characters from each string in the Series/Index from right side. Equivalent to :func:`str.rstrip`. Parameters ---------- to_strip : str Specifying the set of characters to be removed. All combinations of this set of characters will be stripped. If None then whitespaces are removed. Returns ------- Series of str """ return _wrap_accessor_pandas( self, lambda x: x.str.rstrip(to_strip), StringType() ).alias(self.name) def get(self, i) -> 'ks.Series': """ Extract element from each string in the Series/Index at the specified position. Parameters ---------- i : int Position of element to extract. Returns ------- Series of objects """ return _wrap_accessor_pandas( self, lambda x: x.str.get(i), StringType() ).alias(self.name) def isalnum(self) -> 'ks.Series': """ Check whether all characters in each string are alphanumeric. This is equivalent to running the Python string method :func:`str.isalnum` for each element of the Series/Index. If a string has zero characters, False is returned for that check. """ return _wrap_accessor_pandas( self, lambda x: x.str.isalnum(), BooleanType() ).alias(self.name) def isalpha(self) -> 'ks.Series': """ Check whether all characters in each string are alphabetic. This is equivalent to running the Python string method :func:`str.isalpha` for each element of the Series/Index. If a string has zero characters, False is returned for that check. """ return _wrap_accessor_pandas( self, lambda x: x.str.isalpha(), BooleanType() ).alias(self.name) def isdigit(self) -> 'ks.Series': """ Check whether all characters in each string are digits. This is equivalent to running the Python string method :func:`str.isdigit` for each element of the Series/Index. If a string has zero characters, False is returned for that check. """ return _wrap_accessor_pandas( self, lambda x: x.str.isdigit(), BooleanType() ).alias(self.name) def isspace(self) -> 'ks.Series': """ Check whether all characters in each string are whitespaces. This is equivalent to running the Python string method :func:`str.isspace` for each element of the Series/Index. If a string has zero characters, False is returned for that check. """ return _wrap_accessor_pandas( self, lambda x: x.str.isspace(), BooleanType() ).alias(self.name) def islower(self) -> 'ks.Series': """ Check whether all characters in each string are lowercase. This is equivalent to running the Python string method :func:`str.islower` for each element of the Series/Index. If a string has zero characters, False is returned for that check. """ return _wrap_accessor_pandas( self, lambda x: x.str.islower(), BooleanType() ).alias(self.name) def isupper(self) -> 'ks.Series': """ Check whether all characters in each string are uppercase. This is equivalent to running the Python string method :func:`str.isupper` for each element of the Series/Index. If a string has zero characters, False is returned for that check. """ return _wrap_accessor_pandas( self, lambda x: x.str.isupper(), BooleanType() ).alias(self.name) def istitle(self) -> 'ks.Series': """ Check whether all characters in each string are titlecase. This is equivalent to running the Python string method :func:`str.istitle` for each element of the Series/Index. If a string has zero characters, False is returned for that check. """ return _wrap_accessor_pandas( self, lambda x: x.str.istitle(), BooleanType() ).alias(self.name) def isnumeric(self) -> 'ks.Series': """ Check whether all characters in each string are numeric. 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Binaryclassifier/slacked.py	Hritikbansal/RNNs_SVA_OOD	4	79980	<gh_stars>1-10 import torch import torch.nn as nn import torch.optim as optim from torch.autograd import Variable import numpy as np import math from numpy.random import binomial import sys _VF = torch._C._VariableFunctions device = torch.device("cuda" if torch.cuda.is_available() else "cpu") def rectify(x): relu = nn.ReLU() return relu(x) class DecayModule(nn.Module): def __init__(self, input_size , hidden_size, bias = True, num_chunks = 1, activation='relu', nodiag=False): super(DecayModule, self).__init__() self.sigmoid = nn.Sigmoid() self.tanh = nn.Tanh() self.relu = nn.ReLU() self.input_size = input_size self.hidden_size = hidden_size self.nodiag=nodiag self.bias = bias self.num_chunks = num_chunks self.rgate = nn.Parameter(torch.tensor(0.8),requires_grad=True) self.weight_ih = nn.Parameter(torch.Tensor(num_chunkshidden_size,input_size)) self.weight_hh = nn.Parameter(torch.Tensor(num_chunks hidden_size, hidden_size)) self.d_rec = nn.Parameter(torch.zeros(num_chunks * hidden_size, hidden_size),requires_grad=False) self.activation=activation if bias: self.bias_ih = nn.Parameter(torch.Tensor(num_chunks * hidden_size)) self.bias_hh = nn.Parameter(torch.Tensor(num_chunks * hidden_size)) else: self.register_parameter('bias_ih', None) self.register_parameter('bias_hh', None) self.reset_parameters() if self.nodiag: for i in range(hidden_size): self.weight_hh.data[i, i]=0 def reset_parameters(self): stdv = 1.0 / math.sqrt(self.hidden_size) for weight in self.parameters(): nn.init.uniform_(weight, -stdv, stdv) for name,param in self.named_parameters(): if name=="rgate": param.data = torch.tensor(0.8) for i in range(self.num_chunks) : x = i * self.hidden_size for j in range(self.hidden_size) : if (j < 0.8self.hidden_size) : self.d_rec[x + j][j] = 1.0 else : self.d_rec[x + j][j] = -1.0 def forward(self, input_, hx = None): if hx is None: hx = input_.new_zeros(self.num_chunksself.hidden_size, requires_grad=False) # dale_hh = torch.mm(self.relu(self.weight_hh), self.d_rec) if (self.bias) : w_x = self.bias_ih + torch.matmul(self.weight_ih,input_).t() # w_h = self.bias_hh + torch.matmul(dale_hh,hx.t()).t() w_h = self.bias_hh + torch.matmul(self.weight_hh,hx.t()).t() else : w_x = torch.matmul(self.weight_ih,input_).t() # w_h = torch.matmul(dale_hh,hx.t()).t() w_h = torch.matmul(self.weight_hh,hx.t()).t() w_w = ((self.rgate) * hx) + ((1-(self.rgate)) * (w_x + w_h)) if self.activation=='tanh': h = self.tanh(w_w) else: h = self.relu(w_w) return h # shape is (M, H) where M is the batch size and H is the embedded dimension. class SDRNN(nn.Module): def __init__(self, input_size, hidden_size, num_layers = 1, dropout=0.2, activation='relu', nodiag=False): super(SDRNN, self).__init__() self.input_size = input_size self.hidden_size = hidden_size self.num_layers = num_layers self.nodiag=nodiag self.dropout = dropout self.dropout_layer = nn.Dropout(dropout) self.activation=activation for layer in range(num_layers): layer_input_size = self.input_size if layer == 0 else self.hidden_size cell = DecayModule(input_size = layer_input_size, hidden_size = self.hidden_size,activation=self.activation, nodiag=self.nodiag) setattr(self, 'cell_{}'.format(layer), cell) self.reset_parameters() def get_cell(self, layer): return getattr(self, 'cell_{}'.format(layer)) def reset_parameters(self): for layer in range(self.num_layers): cell = self.get_cell(layer) cell.reset_parameters() def forward_single_layer(self, input_, layer, h_0=None, max_time=50): # assumed input shape : (time_stamps, batch_size, input_emb_dim) # assumed output shape: (time_stamps, batch_size, hidden_dim) , h_n shape = (num_layers, batch_size, hidden_dim) --> corresponding to the last time stamp all_hidden = [] cell = self.get_cell(layer) max_time, M = input_.shape[0], input_.shape[1] state = h_0 assert (h_0.shape[0],h_0.shape[1]) == (M, self.hidden_size) for time in range(max_time): state = cell(input_ = input_[time, :, :].t(), hx = state) if layer==self.num_layers-1: all_hidden.append(state) else: all_hidden.append(self.dropout_layer(state)) h_n = state #last time stamp state (M, H) all_hidden = torch.stack(all_hidden) assert (h_n.shape[0], h_n.shape[1]) ==(M, self.hidden_size) return all_hidden, h_n def forward(self, input_, h_0=None, max_time=50): # we assume that the input shape is (time_stamps, batch_size, input_sizes) # for every example the h_init will serve as none. H_init will be none in each layer and for all examples. # the inputs that will be passed to layer_0 will be the input_, for the subsequent layers, we will pass the processed # hidden layer outputs. # h_0 is the inital state to be used for the dynamics. max_time, M = input_.shape[0], input_.shape[1] if not torch.is_tensor(h_0): h_0 = torch.zeros((self.num_layers, M, self.hidden_size)).to(device) h_n = [] for layer in range(self.num_layers): if layer == 0: all_hidden, h_n_layer = self.forward_single_layer(input_, layer, h_0[layer, :, :]) else: all_hidden, h_n_layer = self.forward_single_layer(all_hidden, layer, h_0[layer,:,:]) h_n.append(h_n_layer) h_n = torch.stack(h_n) assert (h_n.shape[0],h_n.shape[1],h_n.shape[2]) ==( self.num_layers, M , self.hidden_size ) assert (all_hidden.shape[0],all_hidden.shape[1],all_hidden.shape[2])==(max_time, M, self.hidden_size) return all_hidden, h_n	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 5215, 4842, 305, 30004, 13, 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app/__init__.py	clhayes/NEU-Senior-Thesis	0	131334	import os, sys, configparser, warnings from flask import (Flask, redirect, render_template, request, session, url_for) from app import consent, alert, experiment, complete, error from .io import write_metadata from .utils import gen_code __version__ = '1.0' ## Define root directory. ROOT_DIR = os.path.dirname(os.path.realpath(__file__)) ## Load and parse configuration file. cfg = configparser.ConfigParser() cfg.read(os.path.join(ROOT_DIR, 'app.ini')) ## Ensure output directories exist. data_dir = os.path.join(ROOT_DIR, cfg['IO']['DATA']) if not os.path.isdir(data_dir): os.makedirs(data_dir) meta_dir = os.path.join(ROOT_DIR, cfg['IO']['METADATA']) if not os.path.isdir(meta_dir): os.makedirs(meta_dir) reject_dir = os.path.join(ROOT_DIR, cfg['IO']['REJECT']) if not os.path.isdir(reject_dir): os.makedirs(reject_dir) ## Check Flask mode; if debug mode, clear session variable. debug = cfg['FLASK'].getboolean('DEBUG') if debug: warnings.warn("WARNING: Flask currently in debug mode. This should be changed prior to production.") ## Check Flask password. secret_key = cfg['FLASK']['SECRET_KEY'] if secret_key == "PLEASE_CHANGE_THIS": warnings.warn("WARNING: Flask password is currently default. This should be changed prior to production.") ## Initialize Flask application. app = Flask(__name__) app.secret_key = secret_key ## Apply blueprints to the application. app.register_blueprint(consent.bp) app.register_blueprint(alert.bp) app.register_blueprint(experiment.bp) app.register_blueprint(complete.bp) app.register_blueprint(error.bp) ## Define root node. @app.route('/') def index(): ## Debug mode: clear session. if debug: session.clear() ## Store directories in session object. session['data'] = data_dir session['metadata'] = meta_dir session['reject'] = reject_dir ## Record incoming metadata. info = dict( workerId = request.args.get('workerId'), # MTurk metadata assignmentId = request.args.get('assignmentId'), # MTurk metadata hitId = request.args.get('hitId'), # MTurk metadata subId = gen_code(24), # NivTurk metadata a = request.args.get('a'), # TurkPrime metadata tp_a = request.args.get('tp_a'), # TurkPrime metadata b = request.args.get('b'), # TurkPrime metadata tp_b = request.args.get('tp_b'), # TurkPrime metadata c = request.args.get('c'), # TurkPrime metadata tp_c = request.args.get('tp_c'), # TurkPrime metadata address = request.remote_addr, # NivTurk metadata browser = request.user_agent.browser, # User metadata platform = request.user_agent.platform, # User metadata version = request.user_agent.version, # User metadata ) ## Case 1: workerId absent. if info['workerId'] is None: ## Redirect participant to error (missing workerId). return redirect(url_for('error.error', errornum=1000)) ## Case 2: mobile user. elif info['platform'] in ['android','iphone','ipad','wii']: ## Redirect participant to error (platform error). return redirect(url_for('error.error', errornum=1001)) ## Case 3: repeat visit, previous success. elif f"{info['subId']}.json" in os.listdir(data_dir): ## Update metadata. session['workerId'] = info['workerId'] session['complete'] = 'success' ## Redirect participant to complete page. return redirect(url_for('complete.complete')) ## Case 4: repeat visit, previous reject. elif f"{info['subId']}.json" in os.listdir(reject_dir): ## Update metadata. session['workerId'] = info['workerId'] session['complete'] = 'reject' ## Redirect participant to complete page. return redirect(url_for('complete.complete')) ## Case 5: repeat visit, preexisting log but no session data. elif not 'workerId' in session and info['workerId'] in os.listdir(meta_dir): ## Update metadata. for k, v in info.items(): session[k] = v session['WARNING'] = "Incognito user." write_metadata(session, ['subId','WARNING'], 'a') ## Redirect participant to consent form. return redirect(url_for('consent.consent')) ## Case 6: repeat visit, preexisting activity. elif 'workerId' in session: ## Update metadata. session['WARNING'] = "Revisited home." write_metadata(session, ['WARNING'], 'a') ## Redirect participant to consent form. return redirect(url_for('consent.consent')) ## Case 7: first visit, workerId present. else: ## Update metadata. for k, v in info.items(): session[k] = v write_metadata(session, ['workerId','hitId','assignmentId','subId','address','browser','platform','version'], 'w') ## Redirect participant to consent form. return redirect(url_for('consent.consent'))	[ 1, 1053, 2897, 29892, 10876, 29892, 2295, 16680, 29892, 18116, 13, 3166, 29784, 1053, 313, 8754, 1278, 29892, 6684, 29892, 4050, 29918, 6886, 29892, 2009, 29892, 4867, 29892, 3142, 29918, 1454, 29897, 13, 3166, 623, 1053, 20218, 29892, 6655, 29892, 7639, 29892, 4866, 29892, 1059, 13, 3166, 869, 601, 1053, 2436, 29918, 19635, 13, 3166, 869, 13239, 1053, 2531, 29918, 401, 13, 1649, 3259, 1649, 353, 525, 29896, 29889, 29900, 29915, 13, 13, 2277, 22402, 3876, 3884, 29889, 13, 21289, 29918, 9464, 353, 2897, 29889, 2084, 29889, 25721, 29898, 359, 29889, 2084, 29889, 6370, 2084, 22168, 1445, 1649, 876, 13, 13, 2277, 16012, 322, 6088, 5285, 934, 29889, 13, 16859, 353, 2295, 16680, 29889, 3991, 11726, 580, 13, 16859, 29889, 949, 29898, 359, 29889, 2084, 29889, 7122, 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Hackerrank/Python/triangle-quest-2.py	PROxZIMA/Competitive-Coding	1	82162	num = int(input()) for i in range(1, num+1): s = '' for j in range(1, i): s += str(j) for j in range(i, 0, -1): s += str(j) print(s)	[ 1, 954, 353, 938, 29898, 2080, 3101, 13, 13, 1454, 474, 297, 3464, 29898, 29896, 29892, 954, 29974, 29896, 1125, 13, 1678, 269, 353, 6629, 13, 1678, 363, 432, 297, 3464, 29898, 29896, 29892, 474, 1125, 13, 4706, 269, 4619, 851, 29898, 29926, 29897, 13, 1678, 363, 432, 297, 3464, 29898, 29875, 29892, 29871, 29900, 29892, 448, 29896, 1125, 13, 4706, 269, 4619, 851, 29898, 29926, 29897, 13, 1678, 1596, 29898, 29879, 29897, 2 ]
jacket/drivers/openstack/compute_driver.py	bopopescu/jacket	0	52971	<gh_stars>0 # 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. """ Driver base-classes: (Beginning of) the contract that compute drivers must follow, and shared types that support that contract """ import copy import socket import traceback import uuid from oslo_log import log as logging from oslo_serialization import jsonutils from oslo_utils import excutils from oslo_utils import strutils from jacket.compute.cloud import power_state from jacket.compute.cloud import task_states from jacket.compute.cloud import vm_states from jacket.compute.virt import driver from jacket.compute.virt import hardware from jacket import conf from jacket import context as req_context from jacket.compute import image from jacket.db.extend import api as caa_db_api from jacket.drivers.openstack import base from jacket.drivers.openstack import exception_ex from jacket import exception from jacket.i18n import _LE from jacket import utils from jacket.objects import compute as objects LOG = logging.getLogger(__name__) CONF = conf.CONF FS_DOMAIN_NOSTATE = 0 FS_DOMAIN_RUNNING = 1 FS_DOMAIN_BLOCKED = 2 FS_DOMAIN_PAUSED = 3 FS_DOMAIN_SHUTDOWN = 4 FS_DOMAIN_SHUTOFF = 5 FS_DOMAIN_CRASHED = 6 FS_DOMAIN_PMSUSPENDED = 7 FS_POWER_STATE = { FS_DOMAIN_NOSTATE: power_state.NOSTATE, FS_DOMAIN_RUNNING: power_state.RUNNING, FS_DOMAIN_BLOCKED: power_state.RUNNING, FS_DOMAIN_PAUSED: power_state.PAUSED, FS_DOMAIN_SHUTDOWN: power_state.SHUTDOWN, FS_DOMAIN_SHUTOFF: power_state.SHUTDOWN, FS_DOMAIN_CRASHED: power_state.CRASHED, FS_DOMAIN_PMSUSPENDED: power_state.SUSPENDED, } class OsComputeDriver(driver.ComputeDriver, base.OsDriver): def __init__(self, virtapi): self._os_novaclient = None self._os_cinderclient = None self._os_glanceclient = None self.caa_db_api = caa_db_api self._image_api = image.API() super(OsComputeDriver, self).__init__(virtapi) def after_detach_volume_fail(self, job_detail_info, kwargs): pass def after_detach_volume_success(self, job_detail_info, kwargs): pass def _add_tag_to_metadata(self, metadata, caa_instance_id): if not metadata: metadata = {} metadata['tag:caa_instance_id'] = caa_instance_id return metadata def _is_booted_from_volume(self, instance, disk_mapping=None): """Determines whether the VM is booting from volume Determines whether the disk mapping indicates that the VM is booting from a volume. """ return (not bool(instance.get('image_ref'))) def _transfer_to_sub_block_device_mapping_v2(self, context, instance, block_device_mapping): """ :param block_device_mapping: { 'block_device_mapping': [{ 'guest_format': None, 'boot_index': 0, 'mount_device': u'/dev/sda', 'connection_info': { u'driver_volume_type': u'fs_clouds_volume', 'serial': u'817492df-3e7f-439a-bfb3-6c2f6488a6e5', u'data': { u'access_mode': u'rw', u'qos_specs': None, u'display_name': u'image-v-02', u'volume_id': u'817492df-3e7f-439a-bfb3-6c2f6488a6e5', u'backend': u'fsclouds' } }, 'disk_bus': None, 'device_type': None, 'delete_on_termination': False }], 'root_device_name': u'/dev/sda', 'ephemerals': [], 'swap': None } :return: type list, [{ "boot_index": 0, "uuid": "5e9ba941-7fad-4515-872a-0b2f1a05d577", "volume_size": "1", "device_name": "/dev/sda", "source_type": "volume", "volume_id": "5e9ba941-7fad-4515-872a-0b2f1a05d577", "delete_on_termination": "False"}] """ sub_bdms = [] bdm_list = block_device_mapping.get('block_device_mapping', []) for bdm in bdm_list: bdm_info_dict = {} # bdm_info_dict['delete_on_termination'] = bdm.get( # 'delete_on_termination', False) bdm_info_dict['boot_index'] = bdm.get('boot_index') bdm_info_dict['destination_type'] = 'volume' source_type = bdm.get('source_type', None) # NOTE(laoyi) Now, only support image and blank if source_type == 'image': image_id = bdm.get('image_id', None) if image_id: provider_image_id = self._get_provider_image_id(context, image_id) else: provider_image_id = self._get_provider_base_image_id( context) if provider_image_id: bdm_info_dict['source_type'] = 'image' bdm_info_dict['uuid'] = provider_image_id else: bdm_info_dict['source_type'] = 'blank' bdm_info_dict['volume_size'] = str(bdm.get('size')) bdm_info_dict['delete_on_termination'] = bdm.get( 'delete_on_termination', False) elif source_type == 'blank': bdm_info_dict['source_type'] = source_type bdm_info_dict['volume_size'] = str(bdm.get('size')) bdm_info_dict['delete_on_termination'] = bdm.get( 'delete_on_termination', False) else: volume_id = bdm.get('connection_info').get('data').get( 'volume_id') if volume_id: provider_volume = self._get_provider_volume(context, volume_id) bdm_info_dict['uuid'] = provider_volume.id bdm_info_dict['volume_size'] = str(provider_volume.size) # bdm_info_dict['device_name'] = device_name bdm_info_dict['source_type'] = 'volume' bdm_info_dict['delete_on_termination'] = bdm.get( 'delete_on_termination', False) else: # TODO: need to support snapshot id continue sub_bdms.append(bdm_info_dict) if not sub_bdms: sub_bdms = None return sub_bdms def _get_provider_security_groups_list(self, context, project_mapper=None): if project_mapper is None: project_mapper = self._get_project_mapper(context, context.project_id) provider_sg = project_mapper.get('security_groups', None) if provider_sg: security_groups = provider_sg.split(',') else: security_groups = None return security_groups def _get_provider_nics(self, context, project_mapper=None): if project_mapper is None: project_mapper = self._get_project_mapper(context, context.project_id) provider_net_data = project_mapper.get('net_data', None) provider_net_api = project_mapper.get('net_api', None) provider_net_external = project_mapper.get('net_external', None) nics = [] if provider_net_external: nics.append({'net-id': provider_net_external}) nics.append({'net-id': provider_net_data}) nics.append({'net-id': provider_net_api}) return nics def _get_agent_inject_file(self, instance, driver_param_inject_files): return dict(driver_param_inject_files) def _generate_provider_instance_name(self, instance_name, instance_id): """ :param instance_name: type string :param instance_id: type string :return: type string, e.g. 'my_vm@97988012-4f48-4463-a150-d7e6b0a321d9' """ if not instance_name: instance_name = 'server' return '@'.join([instance_name, instance_id]) def _get_provider_flavor_id(self, context, flavor_id): # get dest flavor id flavor_mapper = self.caa_db_api.flavor_mapper_get(context, flavor_id, context.project_id) dest_flavor_id = flavor_mapper.get("dest_flavor_id", flavor_id) return dest_flavor_id def _create_snapshot_metadata(self, image_meta, instance, img_fmt, snp_name): metadata = {'is_public': False, 'status': 'active', 'name': snp_name, 'properties': { 'kernel_id': instance.kernel_id, 'image_location': 'snapshot', 'image_state': 'available', 'owner_id': instance.project_id, 'ramdisk_id': instance.ramdisk_id, } } if instance.os_type: metadata['properties']['os_type'] = instance.os_type if img_fmt: metadata['disk_format'] = img_fmt else: metadata['disk_format'] = image_meta.disk_format if image_meta.obj_attr_is_set("container_format"): metadata['container_format'] = image_meta.container_format else: metadata['container_format'] = "bare" return metadata def list_instance_uuids(self): uuids = [] context = req_context.RequestContext(is_admin=True, project_id='default') servers = self.os_novaclient(context).list() for server in servers: server_id = server.id uuids.append(server_id) LOG.debug('list_instance_uuids: %s' % uuids) return uuids def list_instances(self): """List VM instances from all nodes. :return: list of instance id. e.g.['id_001', 'id_002', ...] """ instances = [] context = req_context.RequestContext(is_admin=True, project_id='default') servers = self.os_novaclient(context).list() for server in servers: server_name = server.name instances.append(server_name) LOG.debug('list_instance: %s' % instances) return instances def list_instances_stats(self): """List VM instances from all nodes. :return: list of instance id. e.g.['id_001', 'id_002', ...] """ stats = {} context = req_context.RequestContext(is_admin=True, project_id='default') servers = self.os_novaclient(context).list() for server in servers: server_id = server.id instance_power_state = getattr(server, 'OS-EXT-STS:power_state') stats[server_id] = FS_POWER_STATE[instance_power_state] return stats def get_console_output(self, context, instance): provider_uuid = self._get_provider_instance_id(context, instance.uuid) return self.os_novaclient(context).get_console_output(provider_uuid) def volume_create(self, context, instance, image_id=None, size=None): if image_id and image_id == "base": provider_image_id = self._get_provider_base_image_id(context) elif image_id: provider_image_id = self._get_provider_image_id(context, image_id) else: provider_image_id = None volume_id = str(uuid.uuid4()) kwargs = {} if not size: size = instance.get_flavor().get('root_gb') volume_name = instance.uuid kwargs['display_name'] = volume_name if provider_image_id: kwargs['imageRef'] = provider_image_id provider_volume = self.os_cinderclient(context).create_volume(size, kwargs) try: self.os_cinderclient(context).check_create_volume_complete( provider_volume) except Exception as ex: LOG.exception(_LE("provider volume(%s), " "check_create_volume_complete " "failed! ex = %s"), provider_volume.id, ex) with excutils.save_and_reraise_exception(): provider_volume.delete() try: # create volume mapper values = {"provider_volume_id": provider_volume.id} self.caa_db_api.volume_mapper_create(context, volume_id, context.project_id, values) except Exception as ex: LOG.exception(_LE("volume_mapper_create failed! ex = %s"), ex) with excutils.save_and_reraise_exception(): provider_volume.delete() return volume_id def volume_delete(self, context, instance, volume_id): try: provider_volume = self._get_provider_volume(context, volume_id) except exception.EntityNotFound: LOG.debug('no sub-volume exist, ' 'no need to delete provider volume') return LOG.debug('submit delete-volume task') provider_volume.delete() LOG.debug('wait for volume delete') self.os_cinderclient(context).check_delete_volume_complete( provider_volume) try: # delelte volume mapper self.caa_db_api.volume_mapper_delete(context, volume_id, context.project_id) except Exception as ex: LOG.error(_LE("volume_mapper_delete failed! ex = %s"), ex) def _attach_volume(self, context, instance, provider_volume, mountpoint): provider_server = self._get_provider_instance(context, instance) if not provider_server: LOG.error('Can not find server in provider os, ' 'server: %s' % instance.uuid) raise exception_ex.ServerNotExistException( server_name=instance.display_name) if provider_volume.status == "in-use": attach_id, server_id = self._get_attachment_id_for_volume( provider_volume) if server_id != provider_server.id: LOG.error(_LE("provider volume(%s) has been attached to " "provider instance(%s)"), provider_volume.id, server_id) raise exception_ex.VolumeAttachFailed( volume_id=provider_volume.id) else: return if provider_volume.status == 'available': self.os_novaclient(context).attach_volume(provider_server.id, provider_volume.id, mountpoint) self.os_cinderclient(context).check_attach_volume_complete( provider_volume) else: raise Exception('provider volume %s is not available, ' 'status is %s' % (provider_volume.id, provider_volume.status)) def attach_volume(self, context, connection_info, instance, mountpoint=None, disk_bus=None, device_type=None, encryption=None): """ :param context: ['auth_token', 'elevated', 'from_dict', 'instance_lock_checked', 'is_admin', 'project_id', 'project_name', 'quota_class', 'read_deleted', 'remote_address', 'request_id', 'roles', 'service_catalog', 'tenant', 'timestamp', 'to_dict', 'update_store', 'user', 'user_id', 'user_name'] :param connection_info: { u'driver_volume_type': u'vcloud_volume', 'serial': u'824d397e-4138-48e4-b00b-064cf9ef4ed8', u'data': { u'access_mode': u'rw', u'qos_specs': None, u'display_name': u'volume_02', u'volume_id': u'824d397e-4138-48e4-b00b-064cf9ef4ed8', u'backend': u'vcloud' } } :param instance: Instance( access_ip_v4=None, access_ip_v6=None, architecture=None, auto_disk_config=False, availability_zone='az01.hws--fusionsphere', cell_name=None, cleaned=False, config_drive='', created_at=2016-01-14T07: 17: 40Z, default_ephemeral_device=None, default_swap_device=None, deleted=False, deleted_at=None, disable_terminate=False, display_description='volume_backend_01', display_name='volume_backend_01', ephemeral_gb=0, ephemeral_key_uuid=None, fault=<?>, host='420824B8-AC4B-7A64-6B8D-D5ACB90E136A', hostname='volume-backend-01', id=57, image_ref='', info_cache=InstanceInfoCache, instance_type_id=2, kernel_id='', key_data=None, key_name=None, launch_index=0, launched_at=2016-01-14T07: 17: 43Z, launched_on='420824B8-AC4B-7A64-6B8D-D5ACB90E136A', locked=False, locked_by=None, memory_mb=512, metadata={ }, node='420824B8-AC4B-7A64-6B8D-D5ACB90E136A', numa_topology=<?>, os_type=None, pci_devices=<?>, power_state=0, progress=0, project_id='e178f1b9539b4a02a9c849dd7ea3ea9e', ramdisk_id='', reservation_id='r-marvoq8g', root_device_name='/dev/sda', root_gb=1, scheduled_at=None, security_groups=SecurityGroupList, shutdown_terminate=False, system_metadata={ image_base_image_ref='', image_checksum='d972013792949d0d3ba628fbe8685bce', image_container_format='bare', image_disk_format='qcow2', image_image_id='617e72df-41ba-4e0d-ac88-cfff935a7dc3', image_image_name='cirros', image_min_disk='0', image_min_ram='0', image_size='13147648', instance_type_ephemeral_gb='0', instance_type_flavorid='1', instance_type_id='2', instance_type_memory_mb='512', instance_type_name='m1.tiny', instance_type_root_gb='1', instance_type_rxtx_factor='1.0', instance_type_swap='0', instance_type_vcpu_weight=None, instance_type_vcpus='1' }, task_state=None, terminated_at=None, updated_at=2016-01-14T07: 17: 43Z, user_data=u'<SANITIZED>, user_id='d38732b0a8ff451eb044015e80bbaa65', uuid=9eef20f0-5ebf-4793-b4a2-5a667b0acad0, vcpus=1, vm_mode=None, vm_state='active') Volume object: { 'status': u'attaching', 'volume_type_id': u'type01', 'volume_image_metadata': { u'container_format': u'bare', u'min_ram': u'0', u'disk_format': u'qcow2', u'image_name': u'cirros', u'image_id': u'617e72df-41ba-4e0d-ac88-cfff935a7dc3', u'checksum': u'd972013792949d0d3ba628fbe8685bce', u'min_disk': u'0', u'size': u'13147648' }, 'display_name': u'volume_02', 'attachments': [], 'attach_time': '', 'availability_zone': u'az01.hws--fusionsphere', 'bootable': True, 'created_at': u'2016-01-18T07: 03: 57.822386', 'attach_status': 'detached', 'display_description': None, 'volume_metadata': { u'readonly': u'False' }, 'shareable': u'false', 'snapshot_id': None, 'mountpoint': '', 'id': u'824d397e-4138-48e4-b00b-064cf9ef4ed8', 'size': 120 } :param mountpoint: string. e.g. "/dev/sdb" :param disk_bus: :param device_type: :param encryption: :return: """ LOG.debug('start to attach volume.') cascading_volume_id = connection_info['data']['volume_id'] provider_volume = self._get_provider_volume(context, cascading_volume_id) self._attach_volume(context, instance, provider_volume, mountpoint) LOG.debug('attach volume : %s success.' % cascading_volume_id) def destroy(self, context, instance, network_info, block_device_info=None, destroy_disks=True, migrate_data=None): """ :param instance: :param network_info: :param block_device_info: :param destroy_disks: :param migrate_data: :return: """ try: provider_server = self._get_provider_instance(context, instance) except exception.EntityNotFound: LOG.debug("instance is not exist, no need to delete!", instance=instance) return if provider_server: try: self.os_novaclient(context).delete(provider_server) self.os_novaclient(context).check_delete_server_complete( provider_server) except exception.ResourceInError: import time; time.sleep(30) self.os_novaclient(context).check_delete_server_complete( provider_server) else: LOG.error('Can not found server to delete.') # raise exception_ex.ServerNotExistException(server_name=instance.display_name) try: # delete instance mapper self.caa_db_api.instance_mapper_delete(context, instance.uuid, instance.project_id) except Exception as ex: LOG.error(_LE("instance_mapper_delete failed! ex = %s"), ex) LOG.debug('success to delete instance: %s' % instance.uuid) def _detach_volume(self, context, provider_volume): if provider_volume.status == "available": LOG.debug("provider volume(%s) has been detach", provider_volume.id) return attachment_id, server_id = self._get_attachment_id_for_volume( provider_volume) LOG.debug('server_id: %s' % server_id) LOG.debug('submit detach task') self.os_novaclient(context).detach_volume(server_id, provider_volume.id) LOG.debug('wait for volume in available status.') self.os_cinderclient(context).check_detach_volume_complete( provider_volume) def detach_volume(self, connection_info, instance, mountpoint, encryption=None): LOG.debug('start to detach volume.') LOG.debug('instance: %s' % instance) LOG.debug('connection_info: %s' % connection_info) context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) cascading_volume_id = connection_info['data']['volume_id'] provider_volume = self._get_provider_volume(context, cascading_volume_id) self._detach_volume(context, provider_volume) LOG.debug("detach volume success!", instance=instance) def get_available_nodes(self, refresh=False): """Returns nodenames of all nodes managed by the compute service. This method is for multi compute-nodes support. If a driver supports multi compute-nodes, this method returns a list of nodenames managed by the service. Otherwise, this method should return [hypervisor_hostname]. """ hostname = socket.gethostname() return [hostname] def _get_host_stats(self, hostname): return {'vcpus': 999999, 'vcpus_used': 0, 'memory_mb': 999999, 'memory_mb_used': 0, 'local_gb': 99999999, 'local_gb_used': 0, 'host_memory_total': 99999999, 'disk_total': 99999999, 'host_memory_free': 99999999, 'disk_used': 0, 'hypervisor_type': 'fusionsphere', 'hypervisor_version': '5005000', 'hypervisor_hostname': hostname, 'cpu_info': '{"model": ["Intel(R) Xeon(R) CPU E5-2670 0 @ 2.60GHz"],' '"vendor": ["Huawei Technologies Co., Ltd."], ' '"topology": {"cores": 16, "threads": 32}}', 'supported_instances': jsonutils.dumps( [["i686", "xen", "uml"], ["x86_64", "xen", "uml"]]), 'numa_topology': None,} def get_available_resource(self, nodename): host_stats = self._get_host_stats(nodename) supported_instances = list() for one in jsonutils.loads(host_stats['supported_instances']): supported_instances.append((one[0], one[1], one[2])) return {'vcpus': host_stats['vcpus'], 'memory_mb': host_stats['host_memory_total'], 'local_gb': host_stats['disk_total'], 'vcpus_used': 0, 'memory_mb_used': host_stats['host_memory_total'] - host_stats[ 'host_memory_free'], 'local_gb_used': host_stats['disk_used'], 'hypervisor_type': host_stats['hypervisor_type'], 'hypervisor_version': host_stats['hypervisor_version'], 'hypervisor_hostname': host_stats['hypervisor_hostname'], 'cpu_info': jsonutils.dumps(host_stats['cpu_info']), 'supported_instances': supported_instances, 'numa_topology': None,} def get_info(self, instance): STATUS = power_state.NOSTATE context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) server = self._get_provider_instance(context, instance) LOG.debug('server: %s' % server) if server: instance_power_state = getattr(server, 'OS-EXT-STS:power_state') STATUS = FS_POWER_STATE[instance_power_state] LOG.debug('end to get_info: %s' % STATUS) return hardware.InstanceInfo( state=STATUS, max_mem_kb=0, mem_kb=0, num_cpu=1) def get_instance_macs(self, instance): """ No need to implement. :param instance: :return: """ pass def get_volume_connector(self, instance): return {'ip': CONF.my_block_storage_ip, 'initiator': 'fake', 'host': 'fakehost'} def init_host(self, host): pass def power_off(self, instance, timeout=0, retry_interval=0): LOG.debug('start to stop server: %s' % instance.uuid) server = self._get_provider_instance(hybrid_instance=instance) if not server: LOG.debug('can not find sub os server for ' 'instance: %s' % instance.uuid) raise exception_ex.ServerNotExistException( server_name=instance.display_name) context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) LOG.debug('server: %s status is: %s' % (server.id, server.status)) if server.status == vm_states.ACTIVE.upper(): LOG.debug('start to add stop task') server.stop() LOG.debug('submit stop task') self.os_novaclient(context).check_stop_server_complete(server) LOG.debug('stop server: %s success' % instance.uuid) elif server.status == 'SHUTOFF': LOG.debug('sub instance status is already STOPPED.') LOG.debug('stop server: %s success' % instance.uuid) return else: LOG.warning('server status is not in ACTIVE OR STOPPED,' 'can not do POWER_OFF operation') raise exception_ex.ServerStatusException(status=server.status) def power_on(self, context, instance, network_info, block_device_info=None): LOG.debug('start to start server: %s' % instance.uuid) server = self._get_provider_instance(context, instance) if not server: LOG.debug('can not find sub os server for ' 'instance: %s' % instance.uuid) raise exception_ex.ServerNotExistException(instance.display_name) LOG.debug('server: %s status is: %s' % (server.id, server.status)) if server.status == 'SHUTOFF': LOG.debug('start to add start task') server.start() LOG.debug('submit start task') self.os_novaclient(context).check_start_server_complete(server) LOG.debug('start server: %s success' % instance.uuid) elif server.status == vm_states.ACTIVE.upper(): LOG.debug('sub instance status is already ACTIVE.') return else: LOG.warning('server status is not in ACTIVE OR STOPPED,' 'can not do POWER_ON operation') raise exception_ex.ServerStatusException(status=server.status) def reboot(self, context, instance, network_info, reboot_type, block_device_info=None, bad_volumes_callback=None): LOG.debug('start to reboot server: %s' % instance.uuid) server = self._get_provider_instance(context, instance) if not server: LOG.debug('can not find sub os server for ' 'instance: %s' % instance.uuid) raise exception_ex.ServerNotExistException( server_name=instance.display_name) LOG.debug('server: %s status is: %s' % (server.id, server.status)) if server.status == vm_states.ACTIVE.upper(): server.reboot(reboot_type) self.os_novaclient(context).check_reboot_server_complete(server) LOG.debug('reboot server: %s success' % instance.uuid) elif server.status == 'SHUTOFF': server.start() self.os_novaclient(context).check_start_server_complete(server) LOG.debug('reboot server: %s success' % instance.uuid) else: LOG.warning('server status is not in ACTIVE OR STOPPED,' 'can not do POWER_OFF operation') raise exception_ex.ServerStatusException(status=server.status) def provider_create_image(self, context, instance, image, metadata): provider_instance = self._get_provider_instance(context, instance) provider_metadata = { "disk_format": metadata.get("disk_format", "raw"), "container_format": metadata.get("container_format", "bare")} # provider create image location, provider_image_id = self.os_novaclient( context).create_image( provider_instance, image['name'], provider_metadata) try: # wait create image success self.os_novaclient(context).check_create_image_server_complete( provider_instance) # wait image status is active self.os_glanceclient(context).check_image_active_complete( provider_image_id) except Exception as ex: LOG.exception(_LE("create image failed! ex = %s"), ex) with excutils.save_and_reraise_exception(): self.os_glanceclient(context).delete(provider_image_id) return provider_instance, provider_image_id def snapshot(self, context, instance, image_id, update_task_state): snapshot = self._image_api.get(context, image_id) image_format = None metadata = self._create_snapshot_metadata(instance.image_meta, instance, image_format, snapshot['name']) update_task_state(task_state=task_states.IMAGE_PENDING_UPLOAD) provider_instance, provider_image_id = self.provider_create_image( context, instance, snapshot, metadata) try: update_task_state(task_state=task_states.IMAGE_UPLOADING, expected_state=task_states.IMAGE_PENDING_UPLOAD) try: image = self.os_glanceclient(context).get_image( provider_image_id) LOG.debug("+++hw, image = %s", image) if hasattr(image, "direct_url"): direct_url = image.direct_url if direct_url.startswith("swift+http://") or \ direct_url.startswith("http://") or \ direct_url.startswith("https://"): metadata["location"] = direct_url self._image_api.update(context, image_id, metadata, purge_props=False) else: raise Exception() else: raise Exception() except Exception: metadata.pop("location", None) # download from provider glance LOG.debug("+++hw, begin to download image(%s)", provider_image_id) image_data = self.os_glanceclient(context).data( provider_image_id) LOG.debug("+++hw, image length = %s", len(image_data)) self._image_api.update(context, image_id, metadata, image_data) # create image mapper values = {"provider_image_id": provider_image_id} self.caa_db_api.image_mapper_create(context, image_id, context.project_id, values) except Exception as ex: LOG.exception(_LE("create image failed! ex = %s"), ex) with excutils.save_and_reraise_exception(): self.os_glanceclient(context).delete(provider_image_id) def get_provider_lxc_volume_id(self, context, instance, index): lxc_volume_id = instance.system_metadata.get('provider_lxc_volume_id', None) if lxc_volume_id: return lxc_volume_id provider_instance_uuid = self._get_provider_instance_id( context, instance.uuid) if provider_instance_uuid is None: return volumes = self.os_novaclient(context).get_server_volumes( provider_instance_uuid) volumes = sorted(volumes, key=lambda volume: volume.device) LOG.debug("+++hw, volumes = %s", volumes) lxc_volume = None if len(volumes) > index: lxc_volume = volumes[index] if lxc_volume is not None: return lxc_volume.volumeId def _spawn(self, context, instance, image_meta, injected_files, admin_password, network_info=None, block_device_info=None): try: LOG.debug('instance: %s' % instance) LOG.debug('block device info: %s' % block_device_info) flavor = instance.get_flavor() LOG.debug('flavor: %s' % flavor) sub_flavor_id = self._get_provider_flavor_id(context, flavor.flavorid) name = self._generate_provider_instance_name(instance.display_name, instance.uuid) LOG.debug('name: %s' % name) image_ref = None if instance.image_ref: sub_image_id = self._get_provider_base_image_id(context) try: image_ref = self.os_glanceclient(context).get_image( sub_image_id) except Exception as ex: LOG.exception(_LE("get image(%(image_id)s) failed, " "ex = %(ex)s"), image_id=sub_image_id, ex=ex) raise else: image_ref = None if instance.metadata: metadata = copy.deepcopy(instance.metadata) else: metadata = {} metadata = self._add_tag_to_metadata(metadata, instance.uuid) LOG.debug('metadata: %s' % metadata) app_security_groups = instance.security_groups LOG.debug('app_security_groups: %s' % app_security_groups) agent_inject_files = self._get_agent_inject_file(instance, injected_files) sub_bdm = self._transfer_to_sub_block_device_mapping_v2( context, instance, block_device_info) LOG.debug('sub_bdm: %s' % sub_bdm) project_mapper = self._get_project_mapper(context, context.project_id) security_groups = self._get_provider_security_groups_list( context, project_mapper) nics = self._get_provider_nics(context, project_mapper) provider_server = self.os_novaclient(context).create_server( name, image_ref, sub_flavor_id, meta=metadata, files=agent_inject_files, reservation_id=instance.reservation_id, security_groups=security_groups, nics=nics, availability_zone=project_mapper.get("availability_zone", None), block_device_mapping_v2=sub_bdm) LOG.debug('wait for server active') try: self.os_novaclient(context).check_create_server_complete( provider_server) except Exception as ex: # rollback with excutils.save_and_reraise_exception(): provider_server.delete() LOG.debug('create server success.............!!!') try: # instance mapper values = {'provider_instance_id': provider_server.id} self.caa_db_api.instance_mapper_create(context, instance.uuid, instance.project_id, values) except Exception as ex: LOG.exception(_LE("instance_mapper_create failed! ex = %s"), ex) provider_server.delete() raise interface_list = self.os_novaclient(context).interface_list( provider_server) ips = [] for interface in interface_list: ip = interface.fixed_ips[0].get('ip_address') ips.append(ip) instance_ips = ','.join(ips) LOG.debug('luorui debug instance_ips %s' % instance_ips) instance.system_metadata['instance_ips'] = instance_ips instance.system_metadata['instance_id'] = provider_server.id try: instance.save() except Exception: pass # raise exception_ex.InstanceSaveFailed( # instance_uuid=instance.uuid) except exception_ex.InstanceSaveFailed: raise except Exception as e: LOG.error( 'Exception when spawn, exception: %s' % traceback.format_exc(e)) raise Exception( 'Exception when spawn, exception: %s' % traceback.format_exc(e)) def spawn(self, context, instance, image_meta, injected_files, admin_password, network_info=None, block_device_info=None): """Create a new instance/VM/domain on the virtualization platform. Once this successfully completes, the instance should be running (power_state.RUNNING). If this fails, any partial instance should be completely cleaned up, and the virtualization platform should be in the state that it was before this call began. :param context: security context :param instance: nova.objects.instance.Instance This function should use the data there to guide the creation of the new instance. Instance( access_ip_v4=None, access_ip_v6=None, architecture=None, auto_disk_config=False, availability_zone='az31.shenzhen--aws', cell_name=None, cleaned=False, config_drive='', created_at=2015-08-31T02:44:36Z, default_ephemeral_device=None, default_swap_device=None, deleted=False, deleted_at=None, disable_terminate=False, display_description='server@daa5e17c-cb2c-4014-9726-b77109380ca6', display_name='server@daa5e17c-cb2c-4014-9726-b77109380ca6', ephemeral_gb=0, ephemeral_key_uuid=None, fault=<?>, host='42085B38-683D-7455-A6A3-52F35DF929E3', hostname='serverdaa5e17c-cb2c-4014-9726-b77109380ca6', id=49, image_ref='6004b47b-d453-4695-81be-cd127e23f59e', info_cache=InstanceInfoCache, instance_type_id=2, kernel_id='', key_data=None, key_name=None, launch_index=0, launched_at=None, launched_on='42085B38-683D-7455-A6A3-52F35DF929E3', locked=False, locked_by=None, memory_mb=512, metadata={}, node='h', numa_topology=None, os_type=None, pci_devices=<?>, power_state=0, progress=0, project_id='52957ad92b2146a0a2e2b3279cdc2c5a', ramdisk_id='', reservation_id='r-d1dkde4x', root_device_name='/dev/sda', root_gb=1, scheduled_at=None, security_groups=SecurityGroupList, shutdown_terminate=False, system_metadata={ image_base_image_ref='6004b47b-d453-4695-81be-cd127e23f59e', image_container_format='bare', image_disk_format='qcow2', image_min_disk='1', image_min_ram='0', instance_type_ephemeral_gb='0', instance_type_flavorid='1', instance_type_id='2', instance_type_memory_mb='512', instance_type_name='m1.tiny', instance_type_root_gb='1', instance_type_rxtx_factor='1.0', instance_type_swap='0', instance_type_vcpu_weight=None, instance_type_vcpus='1' }, task_state='spawning', terminated_at=None, updated_at=2015-08-31T02:44:38Z, user_data=u'<SANITIZED>, user_id='ea4393b196684c8ba907129181290e8d', uuid=92d22a62-c364-4169-9795-e5a34b5f5968, vcpus=1, vm_mode=None, vm_state='building') :param image_meta: image object returned by nova.image.glance that defines the image from which to boot this instance e.g. { u'status': u'active', u'deleted': False, u'container_format': u'bare', u'min_ram': 0, u'updated_at': u'2015-08-17T07:46:48.708903', u'min_disk': 0, u'owner': u'52957ad92b2146a0a2e2b3279cdc2c5a', u'is_public': True, u'deleted_at': None, u'properties': {}, u'size': 338735104, u'name': u'emall-backend', u'checksum': u'0f2294c98c7d113f0eb26ad3e76c86fa', u'created_at': u'2015-08-17T07:46:20.581706', u'disk_format': u'qcow2', u'id': u'6004b47b-d453-4695-81be-cd127e23f59e' } :param injected_files: User files to inject into instance. :param admin_password: <PASSWORD> password to set in instance. :param network_info: :py:meth:`~nova.network.manager.NetworkManager.get_instance_nw_info` :param block_device_info: Information about block devices to be attached to the instance. """ # self._binding_host(context, network_info, instance.uuid) self._spawn(context, instance, image_meta, injected_files, admin_password, network_info, block_device_info) # self._binding_host(context, network_info, instance.uuid) def pause(self, instance): context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) provider_instance = self._get_provider_instance(context, instance) self.os_novaclient(context).pause(provider_instance) self.os_novaclient(context).check_pause_server_complete( provider_instance) def unpause(self, instance): context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) provider_instance = self._get_provider_instance(context, instance) self.os_novaclient(context).unpause(provider_instance) self.os_novaclient(context).check_unpause_server_complete( provider_instance) def sub_flavor_detail(self, context): """get flavor detail""" ret = [] sub_flavors = self.os_novaclient(context).get_flavor_detail() for sub_flavor in sub_flavors: ret.append(sub_flavor._info) return ret def rename(self, ctxt, instance, display_name=None): provider_uuid = self._get_provider_instance_id(ctxt, instance.uuid) if not display_name: display_name = instance.display_name provider_name = self._generate_provider_instance_name(display_name, instance.uuid) self.os_novaclient(ctxt).rename(provider_uuid, provider_name) def get_diagnostics(self, instance): context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) provider_uuid = self._get_provider_instance_id(context, instance.uuid) return self.os_novaclient(context).get_diagnostics(provider_uuid) def get_instance_diagnostics(self, instance): context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) provider_uuid = self._get_provider_instance_id(context, instance.uuid) return self.os_novaclient(context).get_diagnostics(provider_uuid) def resume_state_on_host_boot(self, context, instance, network_info, block_device_info=None): """resume guest state when a host is booted.""" # Check if the instance is running already and avoid doing # anything if it is. try: provider_instance = self._get_provider_instance(context, instance) ignored_states = ("ACTIVE", "SUSPENDED", "PAUSED") if provider_instance.status in ignored_states: return provider_instance.reboot('HARD') except exception.NovaException: pass def rescue(self, context, instance, network_info, image_meta, rescue_password): provider_instance = self._get_provider_instance(context, instance) rescue_image_id = None if image_meta.obj_attr_is_set("id"): rescue_image_id = image_meta.id image_id = (rescue_image_id or CONF.libvirt.rescue_image_id or instance.image_ref) provider_image_id = self._get_provider_image_id(context, image_id) LOG.debug("+++image id = %s", provider_image_id) provider_instance.rescue(rescue_password, provider_image_id) self.os_novaclient(context).check_rescue_instance_complete( provider_instance) def unrescue(self, instance, network_info): context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) provider_instance = self._get_provider_instance(context, instance) provider_instance.unrescue() self.os_novaclient(context).check_unrescue_instance_complete( provider_instance) def trigger_crash_dump(self, instance): context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) provider_instance_uuid = self._get_provider_instance_id(context, instance.uuid) return self.os_novaclient(context).trigger_crash_dump( provider_instance_uuid) def set_admin_password(self, instance, new_pass): context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) provider_instance_uuid = self._get_provider_instance_id(context, instance.uuid) self.os_novaclient(context).change_password( provider_instance_uuid, new_pass) def get_host_uptime(self): """Returns the result of calling "uptime".""" out, err = utils.execute('env', 'LANG=C', 'uptime') return out def attach_interface(self, instance, image_meta, vif): pass def detach_interface(self, instance, vif): pass def upload_image(self, context, instance, image_meta): LOG.debug("begin to upload image", instance=instance) image_id = image_meta['id'] lxc_volume_id = \ instance.system_metadata.get('lxc_volume_id', None) if not lxc_volume_id: raise exception_ex.LxcVolumeNotFound(instance_uuid=instance.uuid) provider_volume = self._get_provider_volume(context, lxc_volume_id) LOG.debug("lxc volume id = %s", provider_volume.id, instance=instance) image = self._image_api.get(context, image_id) LOG.debug("+++hw, image = %s", image) try: # provider create image provider_image = provider_volume.upload_to_image( True, image["name"], image_meta.get("container-format", "bare"), image_meta.get("disk_format", image.get('disk_format', 'raw'))) except Exception as ex: LOG.exception(_LE("upload image failed! ex = %s"), ex) raise provider_image = provider_image[1]["os-volume_upload_image"] try: # wait upload image success self.os_cinderclient(context).check_upload_image_volume_complete( provider_volume.id) # wait image status active self.os_glanceclient(context).check_image_active_complete( provider_image["image_id"]) # update image property kwargs = {} image_properties = image.get("properties", {}) if image_properties.get('__os_bit', None): kwargs['__os_bit'] = image_properties.get('__os_bit') if image_properties.get('__os_type', None): kwargs['__os_type'] = image_properties.get('__os_type') if image_properties.get('__os_version', None): kwargs['__os_version'] = image_properties.get('__os_version') if image_properties.get('__paltform', None): kwargs['__paltform'] = image_properties.get('__paltform') self.os_glanceclient(context).update(provider_image["image_id"], remove_props=None, kwargs) # create image mapper values = {"provider_image_id": provider_image["image_id"], 'provider_checksum': provider_image.get("checksum", None)} self.caa_db_api.image_mapper_create(context, image_id, context.project_id, values) except Exception as ex: LOG.exception(_LE("upload image failed! ex = %s"), ex) with excutils.save_and_reraise_exception(): self.os_glanceclient(context).delete(provider_image["image_id"])	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 29937, 2178, 26863, 2538, 9841, 29889, 13, 29937, 13, 29937, 1678, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 366, 1122, 13, 29937, 1678, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 887, 1122, 4017, 13, 29937, 1678, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 308, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 1678, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 7047, 13, 29937, 1678, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 399, 1806, 8187, 2692, 13, 29937, 1678, 399, 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proxyclient/linux.py	modwizcode/m1n1	1	6370	<filename>proxyclient/linux.py #!/usr/bin/python from setup import * payload = open(sys.argv[1], "rb").read() dtb = open(sys.argv[2], "rb").read() if len(sys.argv) > 3: initramfs = open(sys.argv[3], "rb").read() initramfs_size = len(initramfs) else: initramfs = None initramfs_size = 0 compressed_size = len(payload) compressed_addr = u.malloc(compressed_size) dtb_addr = u.malloc(len(dtb)) print("Loading %d bytes to 0x%x..0x%x..." % (compressed_size, compressed_addr, compressed_addr + compressed_size)) iface.writemem(compressed_addr, payload, True) print("Loading DTB to 0x%x..." % dtb_addr) iface.writemem(dtb_addr, dtb) kernel_size = 32 * 1024 * 1024 kernel_base = u.memalign(2 * 1024 * 1024, kernel_size) print("Kernel_base: 0x%x" % kernel_base) assert not (kernel_base & 0xffff) if initramfs is not None: initramfs_base = u.memalign(65536, initramfs_size) print("Loading %d initramfs bytes to 0x%x..." % (initramfs_size, initramfs_base)) iface.writemem(initramfs_base, initramfs, True) p.kboot_set_initrd(initramfs_base, initramfs_size) if p.kboot_prepare_dt(dtb_addr): print("DT prepare failed") sys.exit(1) #kernel_size = p.xzdec(compressed_addr, compressed_size) #if kernel_size < 0: #raise Exception("Decompression header check error!",) #print("Uncompressed kernel size: %d bytes" % kernel_size) print("Uncompressing...") iface.dev.timeout = 40 kernel_size = p.gzdec(compressed_addr, compressed_size, kernel_base, kernel_size) print(kernel_size) if kernel_size < 0: raise Exception("Decompression error!") print("Decompress OK...") p.dc_cvau(kernel_base, kernel_size) p.ic_ivau(kernel_base, kernel_size) print("Ready to boot") daif = u.mrs(DAIF) daif \|= 0x3c0 u.msr(DAIF, daif) print("DAIF: %x" % daif) p.kboot_boot(kernel_base) iface.ttymode()	[ 1, 529, 9507, 29958, 14701, 4645, 29914, 9389, 29889, 2272, 13, 29937, 14708, 4855, 29914, 2109, 29914, 4691, 13, 13, 3166, 6230, 1053, 334, 13, 13, 23813, 353, 1722, 29898, 9675, 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tests/test_base_class_erosion_model_output_writers_old_style.py	BCampforts/terrainbento	18	1616445	# coding: utf8 # !/usr/env/python # This file has tests for the old style output writers to ensure backwards # compatibility. All of the existing tests for output writers are kept as is. # There are a few new ones too. import glob import os import numpy as np from terrainbento import Basic, NotCoreNodeBaselevelHandler from terrainbento.utilities import filecmp _TEST_OUTPUT_DIR = os.path.join(os.curdir, "output") _TEST_DATA_DIR = os.path.join(os.path.dirname(__file__), "data") def get_output_filepath(filename): return os.path.join(_TEST_OUTPUT_DIR, filename) def cleanup_files(searchpath): files = glob.glob(searchpath) for f in files: os.remove(f) # Some output writers def output_writer_function_a(model): average_elevation = np.mean(model.z[model.grid.core_nodes]) filepath = get_output_filepath(f"ow_func_a.{str(model.model_time)}.txt") with open(filepath, "w") as f: f.write(str(average_elevation)) def output_writer_function_b(model): minimum_elevation = np.min(model.z[model.grid.core_nodes]) filepath = get_output_filepath(f"ow_func_b.{str(model.model_time)}.txt") with open(filepath, "w") as f: f.write(str(minimum_elevation)) class output_writer_class_a(object): def __init__(self, model): self.model = model self.change = model.grid.at_node["cumulative_elevation_change"] def run_one_step(self): average_change = np.mean(self.change[self.model.grid.core_nodes]) model_time_str = str(self.model.model_time) filepath = get_output_filepath(f"ow_class_a.{model_time_str}.txt") with open(filepath, "w") as f: f.write(str(average_change)) class output_writer_class_b(object): def __init__(self, model): self.model = model self.change = model.grid.at_node["cumulative_elevation_change"] def run_one_step(self): min_change = np.min(self.change[self.model.grid.core_nodes]) model_time_str = str(self.model.model_time) filepath = get_output_filepath(f"ow_class_b.{model_time_str}.txt") with open(filepath, "w") as f: f.write(str(min_change)) # Unchanged tests # These tests should have minimal changes to ensure backwards compatibility # I only changed where output files are saved (because failed tests don't clean # up so they fill my test directory with junk files) def test_one_function_writer(clock_08, almost_default_grid): ncnblh = NotCoreNodeBaselevelHandler( almost_default_grid, modify_core_nodes=True, lowering_rate=-1 ) # construct and run model model = Basic( clock_08, almost_default_grid, save_first_timestep=False, water_erodibility=0.0, regolith_transport_parameter=0.0, boundary_handlers={"NotCoreNodeBaselevelHandler": ncnblh}, output_writers={"function": [output_writer_function_a]}, ) model.run() # assert things were done correctly truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_func_a.20.0.txt") test_file = get_output_filepath("ow_func_a.20.0.txt") assert filecmp(test_file, truth_file) is True model.remove_output_netcdfs() cleanup_files("ow_func_a..txt") def test_one_class_writer(clock_08, almost_default_grid): ncnblh = NotCoreNodeBaselevelHandler( almost_default_grid, modify_core_nodes=True, lowering_rate=-1 ) # construct and run model model = Basic( clock_08, almost_default_grid, save_first_timestep=False, water_erodibility=0.0, regolith_transport_parameter=0.0, boundary_handlers={"NotCoreNodeBaselevelHandler": ncnblh}, output_writers={"class": [output_writer_class_a]}, ) model.run() # assert things were done correctly truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_class_a.20.0.txt") test_file = get_output_filepath("ow_class_a.20.0.txt") assert filecmp(test_file, truth_file) is True model.remove_output_netcdfs() cleanup_files("ow_class_a..txt") def test_two_function_writers(clock_08, almost_default_grid): ncnblh = NotCoreNodeBaselevelHandler( almost_default_grid, modify_core_nodes=True, lowering_rate=-1 ) # construct and run model model = Basic( clock_08, almost_default_grid, save_first_timestep=False, water_erodibility=0.0, regolith_transport_parameter=0.0, boundary_handlers={"NotCoreNodeBaselevelHandler": ncnblh}, output_writers={ "function": [output_writer_function_a, output_writer_function_b] }, ) model.run() # assert things were done correctly truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_func_a.20.0.txt") test_file = get_output_filepath("ow_func_a.20.0.txt") assert filecmp(test_file, truth_file) is True truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_func_b.20.0.txt") test_file = get_output_filepath("ow_func_b.20.0.txt") assert filecmp(test_file, truth_file) is True model.remove_output_netcdfs() cleanup_files("ow_func_.txt") def test_two_class_writers(clock_08, almost_default_grid): ncnblh = NotCoreNodeBaselevelHandler( almost_default_grid, modify_core_nodes=True, lowering_rate=-1 ) # construct and run model model = Basic( clock_08, almost_default_grid, save_first_timestep=False, water_erodibility=0.0, regolith_transport_parameter=0.0, boundary_handlers={"NotCoreNodeBaselevelHandler": ncnblh}, output_writers={ "class": [output_writer_class_a, output_writer_class_b] }, ) model.run() # assert things were done correctly truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_class_a.20.0.txt") test_file = get_output_filepath("ow_class_a.20.0.txt") assert filecmp(test_file, truth_file) is True truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_class_b.20.0.txt") test_file = get_output_filepath("ow_class_b.20.0.txt") assert filecmp(test_file, truth_file) is True model.remove_output_netcdfs() cleanup_files("ow_class_.txt") def test_all_four_writers(clock_08, almost_default_grid): ncnblh = NotCoreNodeBaselevelHandler( almost_default_grid, modify_core_nodes=True, lowering_rate=-1 ) # construct and run model model = Basic( clock_08, almost_default_grid, save_first_timestep=False, water_erodibility=0.0, regolith_transport_parameter=0.0, boundary_handlers={"NotCoreNodeBaselevelHandler": ncnblh}, output_writers={ "function": [output_writer_function_a, output_writer_function_b], "class": [output_writer_class_a, output_writer_class_b], }, ) model.run() # assert things were done correctly truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_func_a.20.0.txt") test_file = get_output_filepath("ow_func_a.20.0.txt") assert filecmp(test_file, truth_file) is True truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_func_b.20.0.txt") test_file = get_output_filepath("ow_func_b.20.0.txt") assert filecmp(test_file, truth_file) is True truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_class_a.20.0.txt") test_file = get_output_filepath("ow_class_a.20.0.txt") assert filecmp(test_file, truth_file) is True truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_class_b.20.0.txt") test_file = get_output_filepath("ow_class_b.20.0.txt") assert filecmp(test_file, truth_file) is True model.remove_output_netcdfs() cleanup_files("ow_func_.txt") cleanup_files("ow_class_.txt") # New tests for old style output writers def test_save_first_last_and_multiple_times(clock_08, almost_default_grid): """Test save_first_timestep, save_last_timestep, and saving at multiple timesteps.""" ncnblh = NotCoreNodeBaselevelHandler( almost_default_grid, modify_core_nodes=True, lowering_rate=-1 ) # construct and run model model = Basic( clock_08, almost_default_grid, water_erodibility=0.0, regolith_transport_parameter=0.0, boundary_handlers={"NotCoreNodeBaselevelHandler": ncnblh}, output_writers={ "function": [output_writer_function_a, output_writer_function_b], "class": [output_writer_class_a, output_writer_class_b], }, output_interval=6.0, output_dir=_TEST_OUTPUT_DIR, save_first_timestep=True, save_last_timestep=True, ) model.run() for t in ["0.0", "6.0", "12.0", "18.0", "20.0"]: # assert things were done correctly filename_bases = [ f"ow_func_a.{t}.txt", f"ow_func_b.{t}.txt", f"ow_class_a.{t}.txt", f"ow_class_b.{t}.txt", ] for filename_base in filename_bases: truth_file = os.path.join(_TEST_DATA_DIR, f"truth_{filename_base}") test_file = os.path.join(os.curdir, "output", filename_base) assert filecmp(test_file, truth_file) is True model.remove_output_netcdfs() cleanup_files(get_output_filepath("ow_func_.txt")) cleanup_files(get_output_filepath("ow_class_.txt"))	[ 1, 396, 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src/glip/gl/input/__init__.py	anibali/glip	0	181481	<filename>src/glip/gl/input/__init__.py from .keyboard import Key, ModifierKey, KeyboardShortcut, Keyboard from .mouse import MouseButton, Mouse	[ 1, 529, 9507, 29958, 4351, 29914, 29887, 3466, 29914, 3820, 29914, 2080, 29914, 1649, 2344, 26914, 2272, 13, 3166, 869, 1989, 3377, 1053, 7670, 29892, 3382, 3709, 2558, 29892, 7670, 3377, 21322, 7582, 29892, 7670, 3377, 13, 3166, 869, 15769, 1053, 25992, 3125, 29892, 25992, 13, 2 ]
model/criterions/__init__.py	UESTC-Liuxin/CVMI_Sementic_Segmentation	0	161563	<reponame>UESTC-Liuxin/CVMI_Sementic_Segmentation<filename>model/criterions/__init__.py ''' Author: <NAME> Date: 2021-11-18 09:58:40 LastEditors: <NAME> LastEditTime: 2021-11-29 22:50:42 Description: file content FilePath: /CVMI_Sementic_Segmentation/model/criterions/__init__.py ''' from model.criterions.ce_loss import * from model.criterions.dice_loss import * from model.criterions.ce_loss import * from model.criterions.se_loss import * from model.criterions.encnet_loss import *	[ 1, 529, 276, 1112, 420, 29958, 4462, 1254, 29907, 29899, 23410, 1314, 262, 29914, 29907, 9219, 29902, 29918, 29903, 882, 293, 29918, 17669, 358, 362, 29966, 9507, 29958, 4299, 29914, 29883, 5385, 1080, 29914, 1649, 2344, 26914, 2272, 13, 12008, 13, 13720, 29901, 529, 5813, 29958, 13, 2539, 29901, 29871, 29906, 29900, 29906, 29896, 29899, 29896, 29896, 29899, 29896, 29947, 29871, 29900, 29929, 29901, 29945, 29947, 29901, 29946, 29900, 13, 8897, 6103, 943, 29901, 529, 5813, 29958, 13, 8897, 6103, 2481, 29901, 29871, 29906, 29900, 29906, 29896, 29899, 29896, 29896, 29899, 29906, 29929, 29871, 29906, 29906, 29901, 29945, 29900, 29901, 29946, 29906, 13, 9868, 29901, 934, 2793, 13, 2283, 2605, 29901, 847, 29907, 9219, 29902, 29918, 29903, 882, 293, 29918, 17669, 358, 362, 29914, 4299, 29914, 29883, 5385, 1080, 29914, 1649, 2344, 26914, 2272, 13, 12008, 13, 3166, 1904, 29889, 29883, 5385, 1080, 29889, 346, 29918, 6758, 1053, 334, 13, 3166, 1904, 29889, 29883, 5385, 1080, 29889, 29881, 625, 29918, 6758, 1053, 334, 13, 3166, 1904, 29889, 29883, 5385, 1080, 29889, 346, 29918, 6758, 1053, 334, 13, 3166, 1904, 29889, 29883, 5385, 1080, 29889, 344, 29918, 6758, 1053, 334, 13, 3166, 1904, 29889, 29883, 5385, 1080, 29889, 3977, 1212, 29918, 6758, 1053, 334, 13, 13, 13, 2 ]
api/movie_database/movies/migrations/0001_initial.py	cocorocho/movie_database	0	124554	# Generated by Django 3.2.7 on 2022-02-04 13:40 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Director', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=100)), ], options={ 'verbose_name_plural': 'Directors', }, ), migrations.CreateModel( name='Genre', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=40)), ], options={ 'verbose_name_plural': 'Genres', }, ), migrations.CreateModel( name='Language', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ], options={ 'verbose_name_plural': 'Languages', }, ), migrations.CreateModel( name='Poster', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('path', models.FileField(max_length=500, null=True, upload_to='p')), ], ), migrations.CreateModel( name='Movie', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=100)), ('year', models.IntegerField(null=True)), ('description', models.TextField(max_length=900, null=True)), ('score_imdb', models.IntegerField(null=True)), ('score_rotten_tomatoes_critic', models.IntegerField(null=True)), ('score_rotten_tomatoes_audience', models.IntegerField(null=True)), ('score_metacritic_viewer', models.FloatField(null=True)), ('score_metacritic_critic', models.FloatField(null=True)), ('imdb_id', models.CharField(max_length=100, null=True)), ('tmdb_id', models.IntegerField(null=True)), ('adult', models.BooleanField(null=True)), ('vote_count_imdb', models.CharField(max_length=100, null=True)), ('vote_count_metacritic_viewer', models.CharField(max_length=100, null=True)), ('vote_count_metacritic_critic', models.CharField(max_length=100, null=True)), ('genres', models.ManyToManyField(to='movies.Genre')), ('language', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='movies.language')), ('poster', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='movies.poster')), ], options={ 'verbose_name_plural': 'Movies', }, ), migrations.CreateModel( name='Actor', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('movies', models.ManyToManyField(to='movies.Movie')), ], options={ 'verbose_name_plural': 'Actors', }, ), ]	[ 1, 396, 3251, 630, 491, 15337, 29871, 29941, 29889, 29906, 29889, 29955, 373, 29871, 29906, 29900, 29906, 29906, 29899, 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tests/st/ops/cpu/test_minimum_op.py	PowerOlive/mindspore	3,200	192912	<gh_stars>1000+ # Copyright 2020 Huawei Technologies Co., Ltd # # 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 numpy as np import pytest import mindspore.context as context from mindspore.common.tensor import Tensor from mindspore.nn import Cell from mindspore.ops import operations as P class ConstScalarAndTensorMinimum(Cell): def __init__(self): super(ConstScalarAndTensorMinimum, self).__init__() self.min = P.Minimum() self.x = 20 def construct(self, y): return self.min(self.x, y) class TwoTensorsMinimum(Cell): def __init__(self): super(TwoTensorsMinimum, self).__init__() self.min = P.Minimum() def construct(self, x, y): return self.min(x, y) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_minimum_constScalar_tensor_int(): x = Tensor(np.array([[2, 3, 4], [100, 200, 300]]).astype(np.int32)) expect = [[2, 3, 4], [20, 20, 20]] context.set_context(mode=context.GRAPH_MODE, device_target="CPU") min_op = ConstScalarAndTensorMinimum() output = min_op(x) assert np.all(output.asnumpy() == expect) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_minimum_two_tensors_Not_Broadcast_int(): prop = 100 if np.random.random() > 0.5 else -100 x = np.random.randn(3, 4, 5).astype(np.int32) * prop y = np.random.randn(3, 4, 5).astype(np.int32) * prop expect = np.minimum(x, y).astype(np.int32) context.set_context(mode=context.GRAPH_MODE, device_target="CPU") min_op = TwoTensorsMinimum() output = min_op(Tensor(x), Tensor(y)) assert np.all(output.asnumpy() == expect) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_minimum_two_tensors_Broadcast_int(): prop = 100 if np.random.random() > 0.5 else -100 x = np.random.randn(3, 4, 5).astype(np.int32) * prop y = np.random.randn(3, 1, 1).astype(np.int32) * prop expect = np.minimum(x, y).astype(np.int32) context.set_context(mode=context.GRAPH_MODE, device_target="CPU") min_op = TwoTensorsMinimum() output = min_op(Tensor(x), Tensor(y)) assert np.all(output.asnumpy() == expect) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_minimum_two_tensors_Broadcast_oneDimension_int(): prop = 100 if np.random.random() > 0.5 else -100 x = np.random.randn(3).astype(np.int32) * prop y = np.random.randn(3).astype(np.int32) * prop expect = np.minimum(x, y).astype(np.int32) context.set_context(mode=context.GRAPH_MODE, device_target="CPU") min_op = TwoTensorsMinimum() output = min_op(Tensor(x), Tensor(y)) assert np.all(output.asnumpy() == expect) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_minimum_two_tensors_notBroadcast_all_oneDimension_int(): x = Tensor(np.array([[2]]).astype(np.int32)) y = Tensor(np.array([[100]]).astype(np.int32)) expect = [[2]] context.set_context(mode=context.GRAPH_MODE, device_target="CPU") min_op = TwoTensorsMinimum() output = min_op(x, y) assert np.all(output.asnumpy() == expect) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_minimum_two_tensors_notBroadcast_float32(): prop = 100 if np.random.random() > 0.5 else -100 x = np.random.randn(3, 4, 5).astype(np.float32) * prop y = np.random.randn(3, 4, 5).astype(np.float32) * prop expect = np.minimum(x, y).astype(np.float32) error = np.ones(shape=expect.shape) * 1.0e-5 context.set_context(mode=context.GRAPH_MODE, device_target="CPU") min_op = TwoTensorsMinimum() output = min_op(Tensor(x), Tensor(y)) diff = output.asnumpy() - expect assert np.all(np.abs(diff) < error) assert output.shape == expect.shape @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_minimum_two_tensors_notBroadcast_float16(): prop = 100 if np.random.random() > 0.5 else -100 x = np.random.randn(3, 4, 5).astype(np.float16) * prop y = np.random.randn(3, 4, 5).astype(np.float16) * prop expect = np.minimum(x, y).astype(np.float16) error = np.ones(shape=expect.shape) * 1.0e-5 context.set_context(mode=context.GRAPH_MODE, device_target="CPU") min_op = TwoTensorsMinimum() output = min_op(Tensor(x), Tensor(y)) diff = output.asnumpy() - expect assert np.all(np.abs(diff) < error) assert output.shape == expect.shape @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_minimum_two_tensors_Broadcast_float16(): prop = 100 if np.random.random() > 0.5 else -100 x = np.random.randn(3, 4, 5).astype(np.float16) * prop y = np.random.randn(3, 4, 1).astype(np.float16) * prop expect = np.minimum(x, y).astype(np.float16) error = np.ones(shape=expect.shape) * 1.0e-5 context.set_context(mode=context.GRAPH_MODE, device_target="CPU") min_op = TwoTensorsMinimum() output = min_op(Tensor(x), Tensor(y)) diff = output.asnumpy() - expect assert np.all(np.abs(diff) < error) assert output.shape == expect.shape @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_minimum_two_tensors_notBroadcast_float64(): prop = 100 if np.random.random() > 0.5 else -100 x = np.random.randn(3, 4, 1).astype(np.float64) * prop y = np.random.randn(3, 4, 5).astype(np.float64) * prop expect = np.minimum(x, y).astype(np.float64) error = np.ones(shape=expect.shape) * 1.0e-5 context.set_context(mode=context.GRAPH_MODE, device_target="CPU") min_op = TwoTensorsMinimum() output = min_op(Tensor(x), Tensor(y)) diff = 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narnia/common.py	maisammusthafa/narnia	0	180444	<reponame>maisammusthafa/narnia<filename>narnia/common.py #!/usr/bin/env python3 """ common objects """ import argparse import configparser import curses import io import os import re import sys import narnia.pyaria2 as pyaria2 from narnia.colorstr import add_cstr from datetime import datetime class Globals: tty = {'curr_h': 0, 'curr_w': 0, 'prev_h': 0, 'prev_w': 0} header = None status = None downloads = [] download_states = [[], [], []] num_downloads = 0 focused = None start_idx = 0 curr_pos = 0 timer_ui = 0 queue = None s_pos = '<status.b> [top]</status.b>' s_textbox = '' def log(message): with open('log.txt', 'a') as log_file: time = datetime.now().strftime('%H:%M:%S') line = '{} {}\n'.format(time, message) log_file.write(line) g = Globals def refresh_windows(): """ update window widths and refresh them """ g.tty['curr_h'], g.tty['curr_w'] = list(map( int, os.popen('stty size', 'r').read().split())) if g.num_downloads < g.tty['curr_h']: g.start_idx = 0 c.widths.name = g.tty['curr_w'] - \ (c.widths.size + c.widths.status + c.widths.progress + c.widths.percent + c.widths.seeds_peers + c.widths.speed + c.widths.eta) g.header.update() g.file_status.clear() g.file_status.noutrefresh() g.file_status = curses.newwin(1, g.tty['curr_w'], g.tty['curr_h'] - 2, 0) g.pos_status.clear() g.pos_status.noutrefresh() g.pos_status = curses.newwin(1, 8, g.tty['curr_h'] - 1, g.tty['curr_w'] - 7) add_cstr(0, 0, g.s_pos, g.pos_status) g.status.win.clear() g.status.win.noutrefresh() g.status.update(g.status.data) for i in range(g.start_idx, min(g.num_downloads, g.tty['curr_h'] - 3) + g.start_idx): g.downloads[i].draw(i - g.start_idx + 1, True) curses.doupdate() g.timer_ui = (c.refresh_interval * 100) - 1 class Keybindings: def __init__(self, keybindings): self.key_up = ord(keybindings.get('up', 'k')) self.key_down = ord(keybindings.get('down', 'j')) self.pause_all = ord(keybindings.get('pause-all', 'P')) self.pause = ord(keybindings.get('pause', 'p')) self.add = ord(keybindings.get('add', 'a')) self.delete = ord(keybindings.get('delete', 'd')) self.purge = ord(keybindings.get('purge', 'D')) self.queue_up = ord(keybindings.get('queue-up', 'K')) self.queue_down = ord(keybindings.get('queue-down', 'J')) self.select = ord(keybindings.get('select-file', 'v')) self.expand = ord(keybindings.get('expand-torrent', 'h')) self.retry = ord(keybindings.get('retry', 'r')) self.quit = ord(keybindings.get('quit', 'q')) class Colors: def __init__(self, colors): self.enable_colors = colors.getboolean('colors', True) if self.enable_colors: self.status_colors = { 'active': colors.get('dl-active', 'base2').join('<>'), 'paused': colors.get('dl-paused', 'default').join('<>'), 'skip': colors.get('dl-skip', 'default').join('<>'), 'waiting': colors.get('dl-waiting', 'blue').join('<>'), 'pending': colors.get('dl-pending', 'blue').join('<>'), 'complete': colors.get('dl-complete', 'green').join('<>'), 'removed': colors.get('dl-removed', 'yellow').join('<>'), 'error': colors.get('dl-error', 'red').join('<>'), } else: self.status_colors = { } class Widths: def __init__(self, interface): self.size = interface.getint('width-size', 10) self.status = interface.getint('width-status', 11) self.progress = interface.getint('width-progress', 15) self.percent = interface.getint('width-percent', 10) self.seeds_peers = interface.getint('width-seeds-peers', 10) self.speed = interface.getint('width-speed', 14) self.eta = interface.getint('width-eta', 12) self.name = g.tty['curr_w'] - \ (self.size + self.status + self.progress + self.percent + self.seeds_peers + self.speed + self.eta) class Config: def load_conf(name, sections): conf = configparser.ConfigParser() conf_file = os.path.expanduser("~/.config/narnia/" + name) if not os.path.isfile(conf_file): conf_file = io.StringIO(sections) conf.readfp(conf_file) else: conf.read(conf_file) return conf # TODO: Fix crash on missing config sections config = load_conf('config', '[Connection]\n[UI]\n[Colors]\n[Keybindings]') profiles = load_conf('profiles', '[default]') profile = config['Connection'].get('profile', 'default') parser = argparse.ArgumentParser(description='A curses-based console client for aria2') parser.add_argument('-c', '--connection', help='Pre-configured narnia connection profile to use', default=profile) parser.add_argument('-s', '--server', help='Server to connect to') parser.add_argument('-p', '--port', help='Port to connect through') parser.add_argument('-t', '--token', help='aria2 RPC secret token') parser.add_argument('-d', '--delete', help='Delete a download using its GID') parser.add_argument('-i', '--info', help='Returns info on a download using its GID') parser.add_argument('file', nargs='') args = parser.parse_args() profile = args.connection server = profiles[profile].get('server', 'localhost') if args.server is None else \ args.server port = profiles[profile].getint('port', 6800) if args.port is None else \ int(args.port) token = profiles[profile].get('rpc-secret', '') if args.token is None else \ args.token aria2 = pyaria2.PyAria2(server, port, token) if args.file != []: for i_file in args.file: aria2.add_uri([i_file]) sys.exit() elif args.delete is not None: aria2.remove_download_result(args.delete) sys.exit() elif args.info is not None: print(aria2.tell_status(token, args.info)) sys.exit() interface = config['UI'] keys = Keybindings(config['Keybindings']) colors = Colors(config['Colors']) widths = Widths(interface) refresh_interval = interface.getfloat('refresh-interval', 0.5) progress_markers = interface.get('progress-bar-markers', '[]') progress_char = interface.get('progress-bar-char', '#') c = Config def format_size(raw_size, spacing=''): suffixes = [(1024 * 3, 'G'), (1024 ** 2, 'M'), (1024, 'K'), (1, 'B')] size = 0 for item in suffixes: if raw_size >= item[0]: size = raw_size / item[0] if size > 999 and size < 1024: size /= 1024 suffix = suffixes[suffixes.index(item) - 1][1] break suffix = item[1] break suffix = item[1] rounding = "%0.0f" if any(x in suffix for x in ['K', 'B']) else "%0.1f" return str(rounding % size) + spacing + suffix def format_time(eta_s): mins, secs = divmod(eta_s, 60) hrs, mins = divmod(mins, 60) days, hrs = divmod(hrs, 24) if days > 0: d_eta = "%dd %dh %dm" % (days, hrs, mins) else: d_eta = "%dh %dm %ds" % (hrs, mins, secs) d_eta = re.sub(r'(^0\w)\|(\s0\w)', '', d_eta).strip() return d_eta def create_row(fields): """ generate aligned row """ row = "" for field in fields: value, width, padding, alignment = \ field[0], field[1], field[2], field[3] value = value[:(width - padding)] + ".." \ if len(value) > width - padding else value if alignment == 'right': row += (value + (width - len(value)) ' ') else: row += ((width - len(value) - padding) * ' ' + value + padding * ' ') return row class Header: def __init__(self): self.update() def update(self): """ generate header """ self.win = curses.newwin(1, g.tty['curr_w'], 0, 0) name, size, status, progress, percent, seeds_peers, speed, eta = \ "NAME", "SIZE", "STATUS", "PROGRESS", "", "S/P", "D/U", "ETA" self.string = create_row( (name, c.widths.name, 3, 'right'), (size, c.widths.size, 3, 'left'), (status, c.widths.status, 3, 'right'), (progress, c.widths.progress, 3, 'right'), (percent, c.widths.percent, 3, 'right'), (seeds_peers, c.widths.seeds_peers, 3, 'left'), (speed, c.widths.speed, 3, 'left'), (eta, c.widths.eta, 1, 'left') ) def draw(self, init): """ draw header """ if g.tty['prev_w'] == g.tty['curr_w'] and not init: return self.win.clear() try: add_cstr(0, 0, '<header.b>' + self.string + '</header.b>', self.win) except curses.error: pass self.win.noutrefresh() class Status: def __init__(self): self.data = {'downloadSpeed': '0', 'numActive': '0', 'numStopped': '0', 'numStoppedTotal': '0', 'numWaiting': '0', 'uploadSpeed': '0'} self.version = '0.00.0' self.string = None self.update(self.data) def refresh_data(self): """ refresh status bar data """ # TODO: [BUG] Does not set connected status to False if internet is disconnected try: if self.version == '0.00.0': self.version = c.aria2.get_version()['version'] self.data = c.aria2.get_global_stat() except: self.version = '0.00.0' c.aria2.connected = False def create_string(self): s_server = 'server: {}:{} (v{})'.format(c.server, c.port, self.version) num_downloads = int(self.data['numActive']) + \ int(self.data['numWaiting']) + int(self.data['numStopped']) s_downloads = 'downloads: ' + self.data['numStopped'] + \ '/' + str(num_downloads) s_speed = 'D/U: ' + format_size(int(self.data['downloadSpeed'])) + '/' + \ format_size(int(self.data['uploadSpeed'])) self.string = create_row( (s_server, g.tty['curr_w'] - 21 - 14 - 7, 3, 'right'), (s_downloads, 21, 3, 'right'), (s_speed, 14, 1, 'left') ) def update(self, data): """ generate status """ if self.string is not None and \ g.tty['prev_h'] == g.tty['curr_h'] and \ g.tty['prev_w'] == g.tty['curr_w'] and \ self.data == data: self.changed = False return 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tests/aat/spec/modules_spec.py	DerangedMonkeyNinja/openperf	20	1604706	<filename>tests/aat/spec/modules_spec.py from mamba import description, before, after, it from expects import * import os import client.api import client.models from common import Config, Service from common.matcher import be_valid_module, raise_api_exception CONFIG = Config(os.path.join(os.path.dirname(__file__), os.environ.get('MAMBA_CONFIG', 'config.yaml'))) with description('Modules, ', 'modules') as self: with before.all: service = Service(CONFIG.service()) self.process = service.start() self.api = client.api.ModulesApi(service.client()) with description('list, '): with description('all, '): with it('returns list of modules'): modules = self.api.list_modules() expect(modules).not_to(be_empty) for module in modules: expect(module).to(be_valid_module) with description('unsupported method, '): with it('returns 405'): expect(lambda: self.api.api_client.call_api('/modules', 'PUT')).to(raise_api_exception( 405, headers={'Allow': "GET"})) with description('get, '): with description('known module, '): with description('packetio'): with it('succeeds'): module = self.api.get_module('packetio') expect(module).to(be_valid_module) expect(module.id).to(equal('packetio')) expect(module.version.version).to(equal(1)) with description('non-existent module, '): with it('returns 404'): expect(lambda: self.api.get_module('insertnotfoundmodulenamehere')).to(raise_api_exception(404)) with description('unsupported method, '): with it('returns 405'): expect(lambda: self.api.api_client.call_api('/modules/hi', 'PUT')).to(raise_api_exception( 405, headers={'Allow': "GET"})) with description('invalid module name, '): with it('returns 400'): expect(lambda: self.api.get_module('and&').to(raise_api_exception(400))) with after.all: try: self.process.terminate() self.process.wait() except AttributeError: pass	[ 1, 529, 9507, 29958, 21150, 29914, 29874, 271, 29914, 6550, 29914, 7576, 29918, 6550, 29889, 2272, 13, 3166, 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utils/strings_util.py	ScriptHound/vk_schema_codegen	9	166878	<reponame>ScriptHound/vk_schema_codegen import json import re from keyword import kwlist def get_type_from_reference(str_ref, convert_to_calmel_case=True) -> str: pattern = r"./(.)" ref_type = re.search(pattern, str_ref).group(1) if convert_to_calmel_case: return snake_case_to_camel_case(ref_type) return ref_type def get_annotation_type(item: dict): if item.get("type") == "array": if item["items"].get("type"): type_anno = [item["items"]["type"]] else: type_anno = item["items"].get("$ref") type_anno = [get_type_from_reference(type_anno)] elif item.get("type") and not item.get("$ref"): type_anno = item.get("type") elif item.get("oneOf"): type_anno = [get_annotation_type(item) for item in item["oneOf"]] else: type_anno = item.get("$ref") type_anno = get_type_from_reference(type_anno) return type_anno def output_switch_decorator(function): """If input is dict, then return dict If input is a single element, return single element """ def wrapper(arg): keys_type = type(dict().keys()) if not isinstance(arg, (keys_type, list)): arg = {arg: arg} result = function(arg) if len(arg) == 1: # get first value in returned dict return result[next(iter(result))] return result return wrapper def get_json_dict(path: str) -> dict: with open(path, "r") as f: return json.loads(f.read()) @output_switch_decorator def snake_case_to_camel_case(string_list: list) -> dict: words_list: list = [] for item in string_list: words_list.append( "".join(word[0].upper() + word[1:] for word in item.split("_")) ) return dict(zip(string_list, words_list)) def camel_case_to_snake_case(string: str) -> dict: return "".join( "_" + symbol.lower() if symbol.isupper() else symbol for symbol in list(string) ).strip("_") def convert_to_python_type(field): if field.lower() == "array": return "list" elif field.lower() == "boolean": return "bool" elif field.lower() == "integer": return "int" elif field.lower() == "number": return "float" elif field.lower() == "object": return "typing.Any" elif field.lower() == "string": return "str" else: return str(field) def shift_json_dict_names(plain_data: str, classnames: str) -> dict: return {v: plain_data[k] for k, v in classnames.items()} def categorize_methods_as_files(json_dict: dict) -> dict: filenames = set() for method_dict in json_dict["methods"]: method_name = method_dict["name"].split(".")[0] filenames.add(method_name) return {name: {} for name in filenames} def resolve_property_name(name: str): if name[0].isdigit() or name in kwlist: name = "_" + name return name	[ 1, 529, 276, 1112, 420, 29958, 4081, 29950, 618, 29914, 29894, 29895, 29918, 11010, 29918, 401, 1885, 13, 5215, 4390, 13, 5215, 337, 13, 3166, 13553, 1053, 9049, 1761, 13, 13, 13, 1753, 679, 29918, 1853, 29918, 3166, 29918, 5679, 29898, 710, 29918, 999, 29892, 3588, 29918, 517, 29918, 1052, 12873, 29918, 4878, 29922, 5574, 29897, 1599, 851, 29901, 13, 1678, 4766, 353, 364, 1642, 3877, 28104, 5513, 13, 1678, 2143, 29918, 1853, 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filer/server/backends/xsendfile.py	PeterW-LWL/django-filer	134	1609923	# -- coding: utf-8 -- from __future__ import absolute_import from django.http import HttpResponse from .base import ServerBase class ApacheXSendfileServer(ServerBase): def serve(self, request, file_obj, kwargs): response = HttpResponse() response['X-Sendfile'] = file_obj.path # This is needed for lighttpd, hopefully this will # not be needed after this is fixed: # http://redmine.lighttpd.net/issues/2076 response['Content-Type'] = self.get_mimetype(file_obj.path) self.default_headers(request=request, response=response, file_obj=file_obj, kwargs) return response	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 13, 13, 3166, 9557, 29889, 1124, 1053, 9056, 5103, 13, 13, 3166, 869, 3188, 1053, 5656, 5160, 13, 13, 13, 1990, 13380, 29990, 12600, 1445, 6004, 29898, 6004, 5160, 1125, 13, 1678, 822, 9080, 29898, 1311, 29892, 2009, 29892, 934, 29918, 5415, 29892, 3579, 19290, 1125, 13, 4706, 2933, 353, 9056, 5103, 580, 13, 4706, 2933, 1839, 29990, 29899, 12600, 1445, 2033, 353, 934, 29918, 5415, 29889, 2084, 13, 13, 4706, 396, 910, 338, 4312, 363, 3578, 9392, 29881, 29892, 27581, 445, 674, 13, 4706, 396, 451, 367, 4312, 1156, 445, 338, 4343, 29901, 13, 4706, 396, 1732, 597, 1127, 24669, 29889, 4366, 9392, 29881, 29889, 1212, 29914, 12175, 29914, 29906, 29900, 29955, 29953, 13, 4706, 2933, 1839, 3916, 29899, 1542, 2033, 353, 1583, 29889, 657, 29918, 29885, 17528, 668, 29898, 1445, 29918, 5415, 29889, 2084, 29897, 13, 13, 4706, 1583, 29889, 4381, 29918, 13662, 29898, 3827, 29922, 3827, 29892, 2933, 29922, 5327, 29892, 934, 29918, 5415, 29922, 1445, 29918, 5415, 29892, 3579, 19290, 29897, 13, 4706, 736, 2933, 13, 2 ]
app/auth/forms.py	AngelMunoz/FlaskBlueprintsDemo	2	1600536	<filename>app/auth/forms.py from flask_wtf import FlaskForm # , RecaptchaField from wtforms import StringField, PasswordField #, BooleanField from wtforms.validators import Required, Email, EqualTo class LoginForm(FlaskForm): email = StringField('Email Address', [Email(), Required(message='Forgot your email address?')]) password = PasswordField('Password', [ Required(message='Must provide a password.')]) class RegisterForm(FlaskForm): email = StringField('Email Address', [Email(), Required(message='Forgot your email address?')]) password = PasswordField('Password', [ Required(message='Must provide a password.')]) password_repeat = PasswordField('Please Repeat your Password',[ Required(message="You must type your password again")]) name = StringField('Name', [Required(message='Please add your name')]) second_name = StringField('Second Name') lastname = StringField('last Name', [Required(message='Please add your Last Name')]) second_lastname = StringField('Second Lastname') rfc = StringField('RFC', [Required(message='Please add your RFC')]) company = StringField('Company', [Required(message="Please add your Company's Name")])	[ 1, 529, 9507, 29958, 932, 29914, 5150, 29914, 9514, 29889, 2272, 13, 3166, 29784, 29918, 29893, 13264, 1053, 2379, 1278, 2500, 396, 1919, 3599, 2156, 5815, 3073, 13, 3166, 281, 29873, 9514, 1053, 1714, 3073, 29892, 25280, 3073, 396, 29892, 11185, 3073, 13, 3166, 281, 29873, 9514, 29889, 3084, 4097, 1053, 830, 5958, 29892, 22608, 29892, 11243, 284, 1762, 13, 13, 13, 1990, 19130, 2500, 29898, 8754, 1278, 2500, 1125, 13, 1678, 4876, 539, 353, 1714, 3073, 877, 9823, 16428, 742, 518, 9823, 3285, 13, 462, 1678, 830, 5958, 29898, 4906, 2433, 29943, 990, 327, 596, 4876, 3211, 29973, 1495, 2314, 13, 1678, 4800, 1678, 353, 25280, 3073, 877, 10048, 742, 518, 13, 462, 1678, 830, 5958, 29898, 4906, 2433, 29924, 504, 3867, 263, 4800, 29889, 1495, 2314, 13, 462, 268, 13, 13, 1990, 12577, 2500, 29898, 8754, 1278, 2500, 1125, 13, 1678, 4876, 1669, 353, 1714, 3073, 877, 9823, 16428, 742, 518, 9823, 3285, 13, 462, 9651, 830, 5958, 29898, 4906, 2433, 29943, 990, 327, 596, 4876, 3211, 29973, 1495, 2314, 13, 1678, 4800, 9651, 353, 25280, 3073, 877, 10048, 742, 518, 13, 462, 9651, 830, 5958, 29898, 4906, 2433, 29924, 504, 3867, 263, 4800, 29889, 1495, 2314, 13, 1678, 4800, 29918, 14358, 268, 353, 25280, 3073, 877, 12148, 830, 11666, 596, 25280, 742, 29961, 13, 462, 9651, 830, 5958, 29898, 4906, 543, 3492, 1818, 1134, 596, 4800, 1449, 1159, 2314, 462, 632, 13, 1678, 1024, 18884, 353, 1714, 3073, 877, 1170, 742, 518, 19347, 29898, 4906, 2433, 12148, 788, 596, 1024, 1495, 2314, 13, 1678, 1473, 29918, 978, 308, 353, 1714, 3073, 877, 11863, 4408, 1495, 13, 1678, 1833, 978, 9651, 353, 1714, 3073, 877, 4230, 4408, 742, 518, 19347, 29898, 4906, 2433, 12148, 788, 596, 9208, 4408, 1495, 2314, 13, 1678, 1473, 29918, 4230, 978, 268, 353, 1714, 3073, 877, 11863, 9208, 978, 1495, 13, 1678, 364, 13801, 462, 353, 1714, 3073, 877, 29934, 8610, 742, 518, 19347, 29898, 4906, 2433, 12148, 788, 596, 390, 8610, 1495, 2314, 13, 1678, 5001, 632, 353, 1714, 3073, 877, 21410, 742, 518, 19347, 29898, 4906, 543, 12148, 788, 596, 6938, 29915, 29879, 4408, 1159, 2314, 2 ]
chess.py	asomfai/pgn_compress	0	123096	from decimal import * import math import string import colorama import sys import copy colorama.init() # rows and columns are indexed by numbers [0:7] #DONE: fill default board #DONE: read a play from a file #DONE: castling #DONE: fix castling #DONE: play back and check every steps validity #DONE: generate numeric code #DONE: read PGN file with more games #DONE: decoding #DONE: create castling move class #DONE: create e.p. move class #DONE: support Pawn promotion (pawn move followed by =<piece type>) #DONE: handle ambiguous moves: if more piece can do the move, the one NOT letting the king in a checked position can move #todo: make table a class #DONE: en passant #todo: batch files: more binaries in bin, more tables in in one log file ############################# Chess Table Representation ############################# class Piece (object): # pieces: color:w/b Type:King,Queen,Rooks,Bishops,kNights,Pawns def __init__(self, Color, Type, Moved=False): self.Color = Color self.Type = Type self.Moved = Moved if Color not in ["w","b"]: raise Exception("Bad color",Color) if Type not in ["Q","K","B","R","N","P"]: raise Exception("Bad Type",Type) if Moved not in [True,False]: raise Exception("Bad Moved",Moved) def __eq__(self, other): return type(other)==Piece and self.Color == other.Color and self.Type == other.Type and self.Moved == other.Moved def __ne__(self, other): return not self.__eq__(other) def isWhite(self):return self.Color=="w"; def isBlack(self):return self.Color=="b"; def isMoved(self):return self.Moved; def isQueen(self):return self.Type == "Q"; def isKing(self):return self.Type == "K"; def isRook(self):return self.Type == "R"; def isBishop(self):return self.Type == "B"; def isKnight(self):return self.Type == "N"; def isPawn(self):return self.Type == "P"; def toString(self):return self.Color+self.Type; ############################# define move ############################# class Move (object): def __init__(self, piece, to_x,to_y,capture=False,kingcapture=False): self.piece = piece self.to_x = to_x self.to_y = to_y self.capture = capture self.from_x=None self.from_y=None self.promotion=None #piece promoted to self.Kingcapture=kingcapture if self.to_x not in range(0,8):raise Exception("Bad move to",self.to_x,self.to_y,capture) if self.to_y not in range(0,8):raise Exception("Bad move to",self.to_x,self.to_y,capture) if self.capture not in [True,False] :raise Exception("Bad move to",to_x,to_y,capture) def isKingCapture(self): return self.Kingcapture def toString(self): string = self.piece.toString() if self.from_x != None: string += 'abcdefgh'[self.from_x] if self.from_y != None: string += str(self.from_y+1) string += 'abcdefgh'[self.to_x] string += str(self.to_y+1) if self.capture: if self.Kingcapture: string += "+" else: string += "X" if self.promotion!=None: string += "=" + self.promotion.toString() return string def Match(self, other): if type(other) is Castling: return False if type(other) is EnPassant: return self.piece.isPawn() and other.piece.isPawn() and self.to_x == other.to_x and self.to_y == other.to_y if self.to_x != other.to_x or self.to_y != other.to_y : return False if self.promotion != other.promotion : return False return self.piece.Type == other.piece.Type class Castling (object): def __init__(self, piece, to_x,to_y): self.piece = piece self.to_x = to_x self.to_y = to_y self.from_x=None self.from_y=None def isKingCapture(self): return False def toString(self): string = self.piece.toString() if self.to_x==2: string += " O-O-O to "+str(self.to_x) else: string += " O-O to "+str(self.to_x) return string def Match(self, other): if not type(other) is Castling: return False if self.to_x != other.to_x: return False return True class EnPassant (Move): def __init__(self, piece, to_x,to_y,capture_x,capture_y): super(EnPassant,self).__init__(piece, to_x,to_y,True) self.ep_x=capture_x self.ep_y=capture_y def isKingCapture(self): return False def toString(self): return super(EnPassant,self).toString()+"e.p." ############################# directional moves: King,Queen,Bishop,Rook ############################# # direction table: direction=[[-1,-1],[-1, 0],[-1, 1],[ 0, 1],[ 1, 1],[ 1, 0],[ 1,-1],[ 0,-1]] # return: [] if not valid, [to_x,to_y] if valid, [to_x,to_y,"!<captured_piece>"] if opposite players piece is captured def ValidMove(to_x,to_y,piece): #print "piece",piece.toString()," move to ",to_x,to_y, #print "" if LastMove==None else LastMove.toString() #if LastMove!=None and LastMove.piece.isPawn() and piece.isPawn(): #print LastMove.from_x,LastMove.from_y,LastMove.to_x, LastMove.to_y ,to_x, to_y if not to_x in range(0,8) or not to_y in range(0,8): #print "out" return None if table[to_x][to_y]==None: #print "valid, free", #check en passant if LastMove!=None and LastMove.piece.isPawn() and piece.isPawn(): if LastMove.from_y-LastMove.to_y in [-2,2] and LastMove.from_x == to_x and LastMove.from_x == LastMove.to_x and (LastMove.from_y+LastMove.to_y)/2 == to_y: #print "e.p." return EnPassant(piece,to_x,to_y,LastMove.to_x,LastMove.to_y) return Move(piece,to_x,to_y) elif table[to_x][to_y].Color!=piece.Color: #print "valid, capture" return Move(piece,to_x,to_y,True,table[to_x][to_y].isKing()) #print "occupied" return None def DirectionalMove(x,y,start,step,max_range,piece): steps=[] # possible steps if table[x][y] != piece: print 'figure @',x,' ',y,'=',table[x][y].toString(),'is not a '+piece.toString()+'!' return steps else: for dir in range(start,8,step): dx=direction[dir][0] dy=direction[dir][1] for distance in range(1,max_range+1): next_x=x+dxdistance next_y=y+dydistance valid_step=ValidMove(next_x,next_y,piece); if valid_step!=None:steps.append(valid_step) if valid_step==None or valid_step.capture: break; return steps def QueenMoves(x,y,piece): return DirectionalMove(x,y,0,1,7,piece) def RookMoves(x,y,piece): return DirectionalMove(x,y,1,2,7,piece) def BishopMoves(x,y,piece): return DirectionalMove(x,y,0,2,7,piece) ############################# special moves ############################# def KingMoves(x,y,piece): steps = [] if not piece.Moved: if not(y == 0 and piece.isWhite() or y==7 and piece.isBlack()):raise Exception("King.Moved does not match its rank!") if not(x == 4):raise Exception("King.Moved does not match its file!") for rook_file,castling_direction in [(0,-1),(7,+1)]: #rook at start position, not moved if table[rook_file][y]!=None and table[rook_file][y].Moved==False and table[rook_file][y].isRook(): #no pieces between them castling_possible=True for x_r in range(x+castling_direction,rook_file,castling_direction): if table[x_r][y]!=None: castling_possible=False break if castling_possible: steps.append(Castling(piece,x+2castling_direction,y)) return steps+DirectionalMove(x,y,0,1,1,piece) KnightMoveDeltas=[[-1,-2],[-1, 2],[ 1,-2],[ 1, 2],[-2,-1],[-2, 1],[ 2,-1],[ 2, 1]] def KnightMoves(x,y,piece): steps=[] if table[x][y] != piece: print 'figure @',x,' ',y,'=',table[x][y].toString(),'is not a '+piece.toString()+'!' return steps for knigt_move in KnightMoveDeltas: valid_move=ValidMove(x+knigt_move[0],y+knigt_move[1],piece) if valid_move!=None: steps.append(valid_move) return steps def PawnMoves(x,y,piece): #print "check pawn moves @",x,y steps=[] if table[x][y] != piece: print 'figure @',x,' ',y,'=',table[x][y].toString(),'is not a '+piece.toString()+'!' return steps direction = 1 if piece.isWhite() else -1 #print direction # forward valid_move=ValidMove(x,y+direction,piece) if valid_move != None and valid_move.capture==False: steps.append(valid_move) #print steps #when not moved yet, pawn may step make 2 steps forward if valid_move!= None and valid_move.capture==False and not piece.Moved: valid_move=ValidMove(x,y+direction+direction,piece) if valid_move != None:steps.append(valid_move) #capture left or right valid_move=ValidMove(x-1,y+direction,piece) if valid_move != None and valid_move.capture:steps.append(valid_move) valid_move=ValidMove(x+1,y+direction,piece) if valid_move != None and valid_move.capture:steps.append(valid_move) if False: for move in steps:print move.toString(), #create possible promotions new_steps = [] for step in steps: if piece.Color=="w" and step.to_y==7 or piece.Color=="b" and step.to_y==0: # print "PROMOTIONS" promotion_types="QNBR" for type in promotion_types: new_step=copy.copy(step) new_step.promotion=Piece(piece.Color,type) new_steps.append(new_step) # print new_step.toString(),new_step.promotion==Piece(piece.Color,type) else: new_steps.append(step) return new_steps def GeneralMove(x,y): steps=[] piece=table[x][y] if piece==None:return [] # print x,y,piece.toString() if piece.isKing():return KingMoves(x,y,piece) if piece.isQueen():return QueenMoves(x,y,piece) if piece.isBishop():return BishopMoves(x,y,piece) if piece.isRook():return RookMoves(x,y,piece) if piece.isKnight():return KnightMoves(x,y,piece) if piece.isPawn():return PawnMoves(x,y,piece) raise Exception("Something really bad happened @"+x+y) return [] #do a move def DoMove(x_from,y_from,move): # last move - used for e.p. global LastMove # print "Make Move:",move.toString() x_to=move.to_x y_to=move.to_y #check piece=table[x_from][y_from] if piece==None: raise Exception('Move from empty field',x_from,y_from) #castling if type(move) is Castling: if y_to not in [0,7]:raise Exception("Castling move error - bad rank") if x_to not in [2,6]:raise Exception("Castling move error - bad file") if table[x_to][y_to]!=None:raise Exception("Castling move error - occupied") if x_to==2: if table[0][y_to]==None or not table[0][y_to].isRook():raise Exception("Castling rook missing") table[3][y_to],table[0][y_to]=table[0][y_to],table[3][y_to] # move rook table[4][y_to],table[2][y_to]=table[2][y_to],table[4][y_to] # move king table[2][y_to].Moved=table[3][y_to].Moved=True elif x_to==6: if table[7][y_to]==None or not table[7][y_to].isRook():raise Exception("Castling rook missing") table[7][y_to],table[5][y_to]=table[5][y_to],table[7][y_to] # move rook table[6][y_to],table[4][y_to]=table[4][y_to],table[6][y_to] # move king table[5][y_to].Moved=table[6][y_to].Moved=True else: raise Exception('Not a valid castling move.') elif type(move) is EnPassant: assert(table[x_to][y_to]==None) table[x_to][y_to],table[x_from][y_from]=table[x_from][y_from],table[x_to][y_to] table[x_to][y_to].Moved=True #capture en passant pawn assert LastMove.piece.isPawn() table[LastMove.to_x][LastMove.to_y]=None else: #print x_to,y_to,table[x_to][y_to] #normal move #empty field? if table[x_to][y_to]==None: table[x_to][y_to],table[x_from][y_from]=table[x_from][y_from],table[x_to][y_to] #capture other players piece? elif table[x_to][y_to].Color!=table[x_from][y_from].Color: table[x_to][y_to]=table[x_from][y_from] table[x_from][y_from]=None else: raise Exception('Field occupied by friendly piece',table[x_to][y_to]) if type(move.promotion)==Piece: # print "Promotion done" table[x_to][y_to].Type = move.promotion.Type table[x_to][y_to].Moved=True LastMove = move; LastMove.from_x=x_from; LastMove.from_y=y_from # print "New Last Move=",LastMove.toString() # except Exception as inst: # print inst # raise inst # pass # setup initial table table = [] LastMove = None def SetupTable(): global table empty_square=None line=[empty_square,empty_square,empty_square,empty_square,empty_square,empty_square,empty_square,empty_square] table=[line[:],line[:],line[:],line[:],line[:],line[:],line[:],line[:]] table[0][0]=Piece('w','R');table[7][0]=Piece('w','R') table[1][0]=Piece('w','N');table[6][0]=Piece('w','N') table[2][0]=Piece('w','B');table[5][0]=Piece('w','B') table[3][0]=Piece('w','Q') table[4][0]=Piece('w','K') for i in range(0,8):table[i][1]=Piece('w','P');table[i][6]=Piece('b','P');table[i][7]=None if table[i][0]==None else Piece('b',table[i][0].Type) def PrintTable(): return print " abcdefgh" for y in range(7,-1,-1): line_string=str(y+1) for x in range(0,8): line_string += colorama.Back.YELLOW if (x+y) % 2 == 1 else colorama.Back.BLUE field=table[x][y] if field == None: line_string += " " else: if field.Color=="w": line_string += colorama.Fore.WHITE else: line_string += colorama.Fore.BLACK line_string += field.Type print line_string+colorama.Style.RESET_ALL def LogTable(step): string=str(step)+".\n" string+=" abcdefgh\n" for y in range(7,-1,-1): string+=str(y+1) for x in range(0,8): field=table[x][y] if field == None: string += " " else: string += field.Type if field.Color =="w" else field.Type.lower() string+="\n" string+="\n" return string ############################# read PGN file ############################# class TokenFile: class EndOfFile: def __init__(self): pass def __init__(self,filename): print "opening ",filename, my_file=open(filename) self.string = my_file.read() self.pos=0 self.len=len(self.string) my_file.close() print self.len,"chars" def isWhiteSpaceChar(self,char): return char in " \t\n" def skip_whitespaces(self): while True: c = self.getChar() if not self.isWhiteSpaceChar(c): return c self.nextChar() def getChar(self): if self.pos>=self.len: print "TokenFile.EndOfFile" raise TokenFile.EndOfFile() return self.string[self.pos] def readLine(self): try: lineend_pos= self.string.index("\n",self.pos) except ValueError: lineend_pos = self.len prev_pos,self.pos = self.pos, lineend_pos+1 return self.string[prev_pos:lineend_pos] def isWhitespace(self): return False if self.pos>=self.len else self.isWhiteSpaceChar(self.string[self.pos]) def nextChar(self,step=1): #print(self.string[self.pos:self.pos+step]) self.pos = self.pos+step def readChars(self,size=1): string=self.string[self.pos:self.pos+size] self.pos = self.pos+step def readNumber(self): self.skip_whitespaces() string_number="" while self.pos<self.len: c=self.getChar() if c in "0123456789": string_number+=c self.nextChar() else: return int(string_number) def readToken(self): string="" while not self.isWhitespace() and self.pos<self.len: string += self.getChar() self.nextChar() #print string return string def expectString(self,string): if self.string[self.pos:self.pos+len(string)]!=string: raise Exception("file syntax error") self.nextChar(len(string)) def acceptString(self,string): if self.string[self.pos:self.pos+len(string)]==string: self.nextChar(len(string)) return True return False def isString(self,string,case_sensitive=True): return self.string[self.pos:self.pos+len(string)]==string if case_sensitive else self.string[self.pos:self.pos+len(string)].lower()==string.lower() class Step: def __init__(self,type,to_x,to_y,from_x=None,from_y=None,capture=None): pass #color: "w"/"b" def readStep(input_file,color): #read step notation type='P' input_file.skip_whitespaces() #read notation string - until next whitespace capture = False dis_file=None dis_rank=None trg_file=None trg_rank=None promotion_type=None king_castling=False; queen_castling=False; token = input_file.readToken() #capture - not interesting if 'x' in token or ":" in token : capture = True token=token.replace("x","") token=token.replace(":","") #check or checkmate - not interesting if '+' in token or "#" in token: token=token.replace("+","") token=token.replace("#","") if '=' in token : print token[-2:-1],token[-1:] assert token[-2:-1]=="=" promotion_type = token[-1:] token=token[:-2] if token == "O-O": king_castling=True; type='K' elif token == "O-O-O": queen_castling=True; type='K' else: #normal move if token[-4:]=="e.p.": #en passage - not supported yet raise Exception("en passage - not supported yet") #last 2 chars: target file, rank trg_file=token[-2] trg_rank=token[-1] token=token[:-2] #cut target field #first char: type (or omitted if pawn) if len(token)>0: c1=token[0] if c1 in "QKNBR": #other move type=c1 token = token[1:] #cut piece identification #remaining chars: disambiguation if len(token)==1: if token[0] in string.digits: dis_rank=token[0] elif token[0] in string.ascii_lowercase: dis_file=token[0] elif len(token)==2: dis_file=token[0] dis_rank=token[1] elif len(token)!=0: raise Exception("token error") if queen_castling: trg_file = "c" trg_rank == 0 if color == "w" else 7 elif king_castling: trg_file = "g" trg_rank == 0 if color =="w" else 7 # print type,trg_file,trg_rank,dis_file,dis_rank,capture # transform a..h,1..8 to 0..7,0..7 files = ["a","b","c","d","e","f","g","h"] if trg_file != None:trg_file=files.index(trg_file) if trg_rank != None:trg_rank = int(trg_rank)-1 if dis_file!=None:dis_file=files.index(dis_file) if dis_rank!=None:dis_rank = int(dis_rank)-1 if capture == None:capture = False if queen_castling or king_castling: move = Castling(Piece(color,type), trg_file, trg_rank) else: move = Move(Piece(color,type), trg_file, trg_rank, capture) move.from_x = dis_file move.from_y = dis_rank if promotion_type!=None: assert promotion_type in "QNBR" move.promotion=Piece(color,promotion_type) return move class PGNFile: class End: def __init__(self): pass def __init__(self, filename): self.input_file = TokenFile(filename) def TestEnd(self): self.input_file.skip_whitespaces() if self.input_file.acceptString("1-0"): return "w" if self.input_file.acceptString("0-1"): return "b" if self.input_file.acceptString("1/2-1/2"): return "d" return None def ReadGame(self): try: step_ex=0 moves = [] self.input_file.skip_whitespaces() #skip tags while self.input_file.getChar()=="[": print self.input_file.readLine() self.input_file.skip_whitespaces() while True: #read step if self.TestEnd()!=None:break step=self.input_file.readNumber() if step==None: break step_ex = step_ex+1 if step!=step_ex: raise Exception("file step mismatch @ step"+step_ex+1) #read . (dot) self.input_file.expectString(".") #print str(step_ex),":", moves.append(readStep(self.input_file,"w")) #print moves[-1].toString(), if self.TestEnd()!=None:break moves.append(readStep(self.input_file,"b")) #print moves[-1].toString(), except TokenFile.EndOfFile: print "PGNFile.End" raise PGNFile.End() pass print "read",step_ex,"steps" return moves #test: collect all valid moves def MakeCode(game_steps): #generate code sum_bits=0 n=Decimal(0) for (range,index) in reversed(game_steps): assert range>index n=nrange n=n+index sum_bits = sum_bits + math.log(range,2) #print as binary print "code=",n bits="" ctx = getcontext() assert ctx.prec > len(n.as_tuple().digits) + 2 while n>0: if n % Decimal(2)==1: bits="1"+bits n = n - 1 else: bits="0"+bits n = n / 2 print "bits=",len(bits),"theoretical=",sum_bits,"avg bit/move",float(len(bits))/len(game_steps) return bits def CheckKingCaptureMovesAfterMove(x_from,y_from,move,color): global table,LastMove #print move.toString() has_checking = False saved_table=copy.deepcopy(table) saved_LastMove=copy.deepcopy(LastMove) DoMove(x_from,y_from,move) #find pieces on table for y in range(0,8): for x in range(0,8): if table[x][y]!=None and table[x][y].Color == color: for pmove in GeneralMove(x,y): #print " ",pmove.toString() has_checking \|= pmove.isKingCapture() table=saved_table LastMove=saved_LastMove return has_checking def LogError(game,file_name,log_string,step,possible_moves,matching_moves,player_move): PrintTable() print "Possible moves:",len(possible_moves) for [x,y,pmove] in possible_moves:print pmove.toString(), print print "Matching nonchecking moves:" for [x,y,pmove] in matching_moves:print pmove.toString(), print logfile=open(file_name+"."+str(game)+".tbl","w") logfile.write(log_string) logfile.close() raise Exception("Bad move in step",step/2,player_move.toString()) def ProcessPGN(file_name): pgn_file = PGNFile(file_name) game = 1 while True: game_desc=[] # list of tuples(number of possible steps, players step index in possible step list) log_string="" try: moves = pgn_file.ReadGame() except PGNFile.End: break print "GAME ",game, SetupTable() PrintTable() log_string+=LogTable(0) #for each move: look for possible moves, make the move side = True #True:white False:black continous = True verbose = False step=0 for move in moves: log_string+=move.toString() log_string+="\n" step = step + 1 color = "w" if side else "b" piece = move.piece possible_moves = [] #find pieces on table for y in range(0,8): for x in range(0,8): if table[x][y]!=None and table[x][y].Color == color: for pmove in GeneralMove(x,y): possible_moves.append([x,y,pmove]) if verbose:print "step",step,"players move: ",move.toString(),"possible moves",len(possible_moves) matching_moves=[] for [x,y,pmove] in possible_moves: if move.Match(pmove) and (move.from_x==None or move.from_x==x) and (move.from_y==None or move.from_y==y): if verbose:print "found move",pmove.piece.toString()+'abcdefgh'[x]+str(y+1),pmove.toString() matching_moves.append([x,y,pmove]) matching_move = None # print "Number of matching moves:",len(matching_moves) if len(matching_moves) > 1: #see if some moves will put the King in a checking position. Find the one that wont nochecking_moves=[] for [x,y,pmove] in matching_moves: kingcapture = CheckKingCaptureMovesAfterMove(x,y,pmove,"b" if side else "w") #print kingcapture if not kingcapture: nochecking_moves.append([x,y,pmove]) #print "No-checking moves:",len(nochecking_moves) if len(nochecking_moves) != 1: LogError(game,file_name,log_string,step,possible_moves,nochecking_moves,move) else: matching_move=nochecking_moves[0] elif len(matching_moves) == 1: matching_move=matching_moves[0] else: LogError(game,file_name,log_string,step,possible_moves,matching_moves,move) DoMove(matching_move[0],matching_move[1],matching_move[2]) if False and verbose: PrintTable() game_desc.append((len(possible_moves),possible_moves.index(matching_move))) log_string+=LogTable(step) try: if not continous: cont = raw_input("Continue? ") if cont=="n":break if cont== "a": continous = True except: pass side = not side #all moves processed if verbose: PrintTable() logfile=open(file_name+"."+str(game)+".tbl","w") logfile.write(log_string) logfile.close() print game_desc binary = MakeCode(game_desc) bin_file=open(file_name+"."+str(game)+".bin","w") bin_file.write(binary) bin_file.close() print binary game = game + 1 #all games processed def ProcessBIN(file_name): binary_str=TokenFile(file_name).readLine() pos_value = Decimal(1) value = Decimal(0) for pos in range(len(binary_str)-1,-1,-1): value += pos_value if binary_str[pos]=="1" else Decimal(0) pos_value *= Decimal(2) SetupTable(); game_desc = [] print "code=",value log_string="" step = 0 log_string+=LogTable(step); color ="b" while value != 0: color = "w" if color =="b" else "b" possible_moves = [] #find pieces on table for y in range(0,8): for x in range(0,8): if table[x][y]!=None and table[x][y].Color == color: for pmove in GeneralMove(x,y): possible_moves.append([x,y,pmove]) step_range = len(possible_moves) index = value % step_range game_desc.append((int(step_range),int(index))) value -= index value = value / step_range int_index = int(index) assert Decimal(int_index) == index DoMove(possible_moves[int_index][0],possible_moves[int_index][1],possible_moves[int_index][2]) step += 1 log_string+=LogTable(step); print game_desc game = 1 logfile=open(file_name+"."+str(game)+".tbl","w") logfile.write(log_string) logfile.close() if False: test_moves=[] test_moves+=GeneralMove(4,0) test_moves+=GeneralMove(4,7) for move in test_moves:print move.toString(), print DoMove(4,0,test_moves[1]) PrintTable() setcontext(Context(prec=300)) filename = sys.argv[1].strip().replace("\\","/") if filename[-4:]==".pgn": ProcessPGN(filename) elif sys.argv[1][-4:]==".bin": ProcessBIN(filename)	[ 1, 515, 13677, 1053, 334, 13, 5215, 5844, 13, 5215, 1347, 13, 5215, 2927, 3304, 13, 5215, 10876, 13, 5215, 3509, 13, 13, 2780, 3304, 29889, 2344, 580, 13, 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Lectures/UAV_control/message_types/msg_map.py	donnel2-cooper/drone_control	0	182597	""" msg_map - messages type for map of the world part of mavsim_python - Beard & McLain, PUP, 2012 - Last update: 4/10/2019 - RWB """ import numpy as np import parameters.planner_parameters as PLAN class msgMap: def __init__(self): # flag to indicate if the map has changed self.flag_map_changed = 0 # the city is of size (width)x(width) self.city_width = PLAN.city_width # number of blocks in city self.num_city_blocks = PLAN.num_blocks # percent of block that is street. self.street_width = PLAN.city_width / PLAN.num_blocks * PLAN.street_width # maximum height of buildings self.building_max_height = PLAN.building_height # an array of building heights self.building_height = PLAN.building_height * np.random.rand(PLAN.num_blocks, PLAN.num_blocks) # the width of the buildings (all the same) self.building_width = PLAN.city_width / PLAN.num_blocks * (1 - PLAN.street_width) # north coordinate of center of buildings self.building_north = np.zeros((1,PLAN.num_blocks)) for i in range(PLAN.num_blocks): self.building_north[0, i] = 0.5 * (PLAN.city_width / PLAN.num_blocks) * (2 * i + 1) # east coordinate of center of buildings self.building_east = np.copy(self.building_north)	[ 1, 9995, 13, 7645, 29918, 1958, 13, 1678, 448, 7191, 1134, 363, 2910, 310, 278, 3186, 13, 268, 13, 1595, 310, 286, 485, 3601, 29918, 4691, 13, 1678, 448, 1522, 538, 669, 4052, 29931, 475, 29892, 349, 4897, 29892, 29871, 29906, 29900, 29896, 29906, 13, 1678, 448, 9208, 2767, 29901, 13, 308, 29946, 29914, 29896, 29900, 29914, 29906, 29900, 29896, 29929, 448, 390, 29956, 29933, 13, 15945, 29908, 13, 5215, 12655, 408, 7442, 13, 5215, 4128, 29889, 572, 7310, 29918, 16744, 408, 16507, 2190, 13, 13, 1990, 10191, 3388, 29901, 13, 1678, 822, 4770, 2344, 12035, 1311, 1125, 13, 4706, 396, 7353, 304, 12266, 565, 278, 2910, 756, 3939, 13, 4706, 1583, 29889, 15581, 29918, 1958, 29918, 15033, 353, 29871, 29900, 13, 4706, 396, 278, 4272, 338, 310, 2159, 313, 2103, 29897, 29916, 29898, 2103, 29897, 13, 4706, 1583, 29889, 12690, 29918, 2103, 353, 16507, 2190, 29889, 12690, 29918, 2103, 13, 4706, 396, 1353, 310, 10930, 297, 4272, 13, 4706, 1583, 29889, 1949, 29918, 12690, 29918, 1271, 29879, 353, 16507, 2190, 29889, 1949, 29918, 1271, 29879, 13, 4706, 396, 10151, 310, 2908, 393, 338, 11952, 29889, 13, 4706, 1583, 29889, 29352, 29918, 2103, 353, 16507, 2190, 29889, 12690, 29918, 2103, 847, 16507, 2190, 29889, 1949, 29918, 1271, 29879, 334, 16507, 2190, 29889, 29352, 29918, 2103, 13, 4706, 396, 7472, 3171, 310, 13814, 13, 4706, 1583, 29889, 25237, 29918, 3317, 29918, 3545, 353, 16507, 2190, 29889, 25237, 29918, 3545, 13, 4706, 396, 385, 1409, 310, 5214, 3171, 29879, 13, 4706, 1583, 29889, 25237, 29918, 3545, 353, 16507, 2190, 29889, 25237, 29918, 3545, 334, 7442, 29889, 8172, 29889, 9502, 29898, 7390, 2190, 29889, 1949, 29918, 1271, 29879, 29892, 16507, 2190, 29889, 1949, 29918, 1271, 29879, 29897, 13, 4706, 396, 278, 2920, 310, 278, 13814, 313, 497, 278, 1021, 29897, 13, 4706, 1583, 29889, 25237, 29918, 2103, 353, 16507, 2190, 29889, 12690, 29918, 2103, 847, 16507, 2190, 29889, 1949, 29918, 1271, 29879, 334, 313, 29896, 448, 16507, 2190, 29889, 29352, 29918, 2103, 29897, 13, 4706, 396, 6641, 14821, 310, 4818, 310, 13814, 13, 4706, 1583, 29889, 25237, 29918, 29876, 2072, 353, 7442, 29889, 3298, 359, 3552, 29896, 29892, 7390, 2190, 29889, 1949, 29918, 1271, 29879, 876, 13, 4706, 363, 474, 297, 3464, 29898, 7390, 2190, 29889, 1949, 29918, 1271, 29879, 1125, 13, 9651, 1583, 29889, 25237, 29918, 29876, 2072, 29961, 29900, 29892, 474, 29962, 353, 29871, 29900, 29889, 29945, 334, 313, 7390, 2190, 29889, 12690, 29918, 2103, 847, 16507, 2190, 29889, 1949, 29918, 1271, 29879, 29897, 334, 313, 29906, 334, 474, 718, 29871, 29896, 29897, 13, 4706, 396, 9755, 14821, 310, 4818, 310, 13814, 13, 4706, 1583, 29889, 25237, 29918, 23027, 353, 7442, 29889, 8552, 29898, 1311, 29889, 25237, 29918, 29876, 2072, 29897, 13, 2 ]
blog/services/main.py	JohannSuarez/fastapi_backend	0	90921	''' Services are defined in the services package. Each service is a subclass of AppService. The database session is passed down from the request dependency via an "interface-like" mixin utility class (other mixin classes may be added via multiple inheritance in order to extend available attributes) ''' from sqlalchemy.orm import Session class DBSessionMixin: def __init__(self, db: Session): self.db = db class AppService(DBSessionMixin): pass class AppCRUD(DBSessionMixin): pass	[ 1, 14550, 13, 13779, 526, 3342, 297, 278, 5786, 3577, 29889, 7806, 2669, 13, 275, 263, 19481, 310, 2401, 3170, 29889, 450, 2566, 4867, 338, 4502, 1623, 13, 3166, 278, 2009, 10609, 3025, 385, 376, 13248, 29899, 4561, 29908, 6837, 262, 19725, 770, 13, 29898, 1228, 6837, 262, 4413, 1122, 367, 2715, 3025, 2999, 20328, 297, 1797, 304, 13, 21843, 3625, 8393, 29897, 13, 12008, 13, 13, 3166, 4576, 284, 305, 6764, 29889, 555, 1053, 16441, 13, 13, 1990, 6535, 7317, 29924, 861, 262, 29901, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 4833, 29901, 16441, 1125, 13, 4706, 1583, 29889, 2585, 353, 4833, 13, 13, 1990, 2401, 3170, 29898, 4051, 7317, 29924, 861, 262, 1125, 13, 1678, 1209, 13, 13, 1990, 2401, 11341, 15789, 29898, 4051, 7317, 29924, 861, 262, 1125, 13, 1678, 1209, 13, 2 ]
poezio/poezio.py	David96/poezio_lima-gold	0	147598	# Copyright 2010-2011 <NAME> <<EMAIL>> # # This file is part of Poezio. # # Poezio is free software: you can redistribute it and/or modify # it under the terms of the zlib license. See the COPYING file. """ Starting point of poezio. Launches both the Connection and Gui """ import sys import os import signal import logging sys.path.append(os.path.dirname(os.path.abspath(__file__))) def test_curses(): """ Check if the system ncurses linked with python has unicode capabilities. """ import curses if hasattr(curses, 'unget_wch'): return True print("""\ ERROR: The current python executable is linked with a ncurses version that \ has no unicode capabilities. This could mean that: - python was built on a system where readline is linked against \ libncurses and not libncursesw - python was built without ncursesw headers available Please file a bug for your distribution or fix that on your system and then \ recompile python. Poezio is currently unable to read your input or draw its interface properly,\ so it will now exit.""") return False def main(): """ Entry point. """ sys.stdout.write("\x1b]0;poezio\x07") sys.stdout.flush() from poezio import config config_path = config.check_create_config_dir() config.run_cmdline_args(config_path) config.create_global_config() config.check_create_log_dir() config.check_create_cache_dir() config.setup_logging() config.post_logging_setup() from poezio.config import options if options.check_config: config.check_config() sys.exit(0) from poezio import theming theming.update_themes_dir() from poezio import logger logger.create_logger() from poezio import roster roster.create_roster() from poezio import core log = logging.getLogger('') signal.signal(signal.SIGINT, signal.SIG_IGN) # ignore ctrl-c cocore = core.Core() signal.signal(signal.SIGUSR1, cocore.sigusr_handler) # reload the config signal.signal(signal.SIGHUP, cocore.exit_from_signal) signal.signal(signal.SIGTERM, cocore.exit_from_signal) if options.debug: cocore.debug = True cocore.start() from slixmpp.exceptions import IqError, IqTimeout def swallow_iqerrors(loop, context): """Do not log unhandled iq errors and timeouts""" if not isinstance(context['exception'], (IqError, IqTimeout)): loop.default_exception_handler(context) # Warning: asyncio must always be imported after the config. Otherwise # the asyncio logger will not follow our configuration and won't write # the tracebacks in the correct file, etc import asyncio loop = asyncio.get_event_loop() loop.set_exception_handler(swallow_iqerrors) loop.add_reader(sys.stdin, cocore.on_input_readable) loop.add_signal_handler(signal.SIGWINCH, cocore.sigwinch_handler) cocore.xmpp.start() loop.run_forever() # We reach this point only when loop.stop() is called try: cocore.reset_curses() except: pass	[ 1, 396, 14187, 1266, 29871, 29906, 29900, 29896, 29900, 29899, 29906, 29900, 29896, 29896, 529, 5813, 29958, 3532, 26862, 6227, 6778, 13, 29937, 13, 29937, 910, 934, 338, 760, 310, 3929, 6096, 601, 29889, 13, 29937, 13, 29937, 3929, 6096, 601, 338, 3889, 7047, 29901, 366, 508, 2654, 391, 2666, 372, 322, 29914, 272, 6623, 13, 29937, 372, 1090, 278, 4958, 310, 278, 503, 1982, 19405, 29889, 2823, 278, 315, 4590, 29979, 4214, 934, 29889, 13, 13, 13, 15945, 29908, 13, 4763, 292, 1298, 310, 772, 6096, 601, 29889, 997, 3322, 267, 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config.py	DeflatedPickle/1984-chan	1	135112	import json from json import JSONDecodeError import simplejson def read_id(): with open("token.txt") as f: return f.readline().strip() def read_config(): with open("config.json", 'r+') as f: try: pre = json.load(f) except JSONDecodeError: write_config({}) pre = json.loads('{}') return dict([(int(k), v) for k, v in pre.items()]) def write_config(config): with open("config.json", 'w+') as f: f.write(simplejson.dumps(config, indent=4, sort_keys=True))	[ 1, 1053, 4390, 13, 3166, 4390, 1053, 4663, 2772, 401, 2392, 13, 13, 5215, 2560, 3126, 13, 13, 13, 1753, 1303, 29918, 333, 7295, 13, 1678, 411, 1722, 703, 6979, 29889, 3945, 1159, 408, 285, 29901, 13, 4706, 736, 285, 29889, 949, 1220, 2141, 17010, 580, 13, 13, 13, 1753, 1303, 29918, 2917, 7295, 13, 1678, 411, 1722, 703, 2917, 29889, 3126, 613, 525, 29878, 29974, 1495, 408, 285, 29901, 13, 4706, 1018, 29901, 13, 9651, 758, 353, 4390, 29889, 1359, 29898, 29888, 29897, 13, 4706, 5174, 4663, 2772, 401, 2392, 29901, 13, 9651, 2436, 29918, 2917, 3319, 1800, 13, 9651, 758, 353, 4390, 29889, 18132, 877, 8875, 1495, 13, 13, 4706, 736, 9657, 4197, 29898, 524, 29898, 29895, 511, 325, 29897, 363, 413, 29892, 325, 297, 758, 29889, 7076, 580, 2314, 13, 13, 13, 1753, 2436, 29918, 2917, 29898, 2917, 1125, 13, 1678, 411, 1722, 703, 2917, 29889, 3126, 613, 525, 29893, 29974, 1495, 408, 285, 29901, 13, 4706, 285, 29889, 3539, 29898, 12857, 3126, 29889, 29881, 17204, 29898, 2917, 29892, 29536, 29922, 29946, 29892, 2656, 29918, 8149, 29922, 5574, 876, 13, 2 ]
scripts/generate_specializations.py	cxwx/VecGeom	1	162865	<filename>scripts/generate_specializations.py # Script to generate translation and rotation specializations of placed volumes, rotation = [0x1B1, 0x18E, 0x076, 0x16A, 0x155, 0x0AD, 0x0DC, 0x0E3, 0x11B, 0x0A1, 0x10A, 0x046, 0x062, 0x054, 0x111, 0x200] translation = ["translation::kGeneric", "translation::kIdentity"] header_string = """\ /// @file TransformationSpecializations.icc /// @author Script generated. #ifndef VECGEOM_NO_SPECIALIZATION """ specialization_string = """\ if (trans_code == {:s} && rot_code == {:#05x}) {{ return VolumeType::template Create<{:s}, {:#05x}>( logical_volume, transformation, #ifdef VECCORE_CUDA id, copy_no, child_id, #endif placement); }} """ generic_string = """\ #endif // No specialization return VolumeType::template Create<translation::kGeneric, rotation::kGeneric>( logical_volume, transformation, #ifdef VECCORE_CUDA id, copy_no, child_id, #endif placement);\ """ output_file = open("../VecGeom/management/TransformationSpecializations.icc", "w") output_file.write(header_string) for r in rotation: for t in translation: output_file.write(specialization_string.format(t, r, t, r)) output_file.write(generic_string) output_file.close()	[ 1, 529, 9507, 29958, 16713, 29914, 17158, 29918, 18732, 17063, 29889, 2272, 13, 29937, 14415, 304, 5706, 13962, 322, 13733, 4266, 17063, 310, 7180, 18167, 29892, 13, 13, 5450, 362, 353, 518, 29900, 29916, 29896, 29933, 29896, 29892, 29871, 29900, 29916, 29896, 29947, 29923, 29892, 29871, 29900, 29916, 29900, 29955, 29953, 29892, 29871, 29900, 29916, 29896, 29953, 29909, 29892, 29871, 29900, 29916, 29896, 29945, 29945, 29892, 29871, 29900, 29916, 29900, 3035, 29892, 29871, 29900, 29916, 29900, 12696, 29892, 29871, 29900, 29916, 29900, 29923, 29941, 29892, 29871, 29900, 29916, 29896, 29896, 29933, 29892, 13, 632, 29900, 29916, 29900, 29909, 29896, 29892, 29871, 29900, 29916, 29896, 29900, 29909, 29892, 29871, 29900, 29916, 29900, 29946, 29953, 29892, 29871, 29900, 29916, 29900, 29953, 29906, 29892, 29871, 29900, 29916, 29900, 29945, 29946, 29892, 29871, 29900, 29916, 29896, 29896, 29896, 29892, 29871, 29900, 29916, 29906, 29900, 29900, 29962, 13, 3286, 18411, 353, 6796, 3286, 18411, 1057, 29895, 15809, 613, 376, 3286, 18411, 1057, 29895, 18415, 3108, 13, 13, 6672, 29918, 1807, 353, 9995, 29905, 13, 6658, 732, 1445, 4103, 5404, 24780, 17063, 29889, 293, 29883, 13, 6658, 732, 8921, 14415, 5759, 29889, 13, 13, 29937, 361, 299, 1389, 478, 11206, 1692, 6488, 29918, 6632, 29918, 29903, 4162, 8426, 1964, 26664, 8098, 13, 15945, 29908, 13, 13, 18732, 2133, 29918, 1807, 353, 9995, 29905, 13, 29871, 565, 313, 3286, 29918, 401, 1275, 12365, 29879, 29913, 2607, 5731, 29918, 401, 1275, 12365, 29937, 29900, 29945, 29916, 1800, 8620, 13, 1678, 736, 16934, 1542, 1057, 6886, 6204, 29966, 25641, 29879, 1118, 12365, 29937, 29900, 29945, 29916, 29913, 5961, 13, 418, 16667, 29918, 24623, 29892, 13852, 29892, 13, 29937, 361, 1753, 478, 11206, 3217, 1525, 29918, 29907, 29965, 7698, 13, 965, 1178, 29892, 3509, 29918, 1217, 29892, 2278, 29918, 333, 29892, 13, 29937, 15224, 13, 418, 2174, 13561, 416, 13, 29871, 9156, 13, 15945, 29908, 13, 13, 19206, 29918, 1807, 353, 9995, 29905, 13, 29937, 15224, 849, 1939, 4266, 2133, 13, 13, 29871, 736, 16934, 1542, 1057, 6886, 6204, 29966, 3286, 18411, 1057, 29895, 15809, 29892, 13733, 1057, 29895, 15809, 5961, 13, 418, 16667, 29918, 24623, 29892, 13852, 29892, 13, 29937, 361, 1753, 478, 11206, 3217, 1525, 29918, 29907, 29965, 7698, 13, 965, 1178, 29892, 3509, 29918, 1217, 29892, 2278, 29918, 333, 29892, 13, 29937, 15224, 13, 418, 2174, 13561, 416, 29905, 13, 15945, 29908, 13, 13, 4905, 29918, 1445, 353, 1722, 703, 6995, 25987, 7999, 290, 29914, 21895, 29914, 4300, 5404, 24780, 17063, 29889, 293, 29883, 613, 376, 29893, 1159, 13, 13, 4905, 29918, 1445, 29889, 3539, 29898, 6672, 29918, 1807, 29897, 13, 1454, 364, 297, 13733, 29901, 13, 29871, 363, 260, 297, 13962, 29901, 13, 1678, 1962, 29918, 1445, 29889, 3539, 29898, 18732, 2133, 29918, 1807, 29889, 4830, 29898, 29873, 29892, 364, 29892, 260, 29892, 364, 876, 13, 4905, 29918, 1445, 29889, 3539, 29898, 19206, 29918, 1807, 29897, 13, 4905, 29918, 1445, 29889, 5358, 580, 13, 2 ]
alipay/aop/api/domain/ReduceInfo.py	snowxmas/alipay-sdk-python-all	213	33975	<gh_stars>100-1000 #!/usr/bin/env python # -- coding: utf-8 -- import json from alipay.aop.api.constant.ParamConstants import * class ReduceInfo(object): def __init__(self): self._brand_name = None self._consume_amt = None self._consume_store_name = None self._payment_time = None self._promo_amt = None self._user_name = None @property def brand_name(self): return self._brand_name @brand_name.setter def brand_name(self, value): self._brand_name = value @property def consume_amt(self): return self._consume_amt @consume_amt.setter def consume_amt(self, value): self._consume_amt = value @property def consume_store_name(self): return self._consume_store_name @consume_store_name.setter def consume_store_name(self, value): self._consume_store_name = value @property def payment_time(self): return self._payment_time @payment_time.setter def payment_time(self, value): self._payment_time = value @property def promo_amt(self): return self._promo_amt @promo_amt.setter def promo_amt(self, value): self._promo_amt = value @property def user_name(self): return self._user_name @user_name.setter def user_name(self, value): self._user_name = value def to_alipay_dict(self): params = dict() if self.brand_name: if hasattr(self.brand_name, 'to_alipay_dict'): params['brand_name'] = self.brand_name.to_alipay_dict() else: params['brand_name'] = self.brand_name if self.consume_amt: if hasattr(self.consume_amt, 'to_alipay_dict'): params['consume_amt'] = self.consume_amt.to_alipay_dict() else: params['consume_amt'] = self.consume_amt if self.consume_store_name: if hasattr(self.consume_store_name, 'to_alipay_dict'): params['consume_store_name'] = self.consume_store_name.to_alipay_dict() else: params['consume_store_name'] = self.consume_store_name if self.payment_time: if hasattr(self.payment_time, 'to_alipay_dict'): params['payment_time'] = self.payment_time.to_alipay_dict() else: params['payment_time'] = self.payment_time if self.promo_amt: if hasattr(self.promo_amt, 'to_alipay_dict'): params['promo_amt'] = self.promo_amt.to_alipay_dict() else: params['promo_amt'] = self.promo_amt if self.user_name: if hasattr(self.user_name, 'to_alipay_dict'): params['user_name'] = self.user_name.to_alipay_dict() else: params['user_name'] = self.user_name return params @staticmethod def from_alipay_dict(d): if not d: return None o = ReduceInfo() if 'brand_name' in d: o.brand_name = d['brand_name'] if 'consume_amt' in d: o.consume_amt = d['consume_amt'] if 'consume_store_name' in d: o.consume_store_name = d['consume_store_name'] if 'payment_time' in d: o.payment_time = d['payment_time'] if 'promo_amt' in d: o.promo_amt = d['promo_amt'] if 'user_name' in d: o.user_name = d['user_name'] return o	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29900, 29900, 29899, 29896, 29900, 29900, 29900, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 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pyning/tail_recursion/fibonacci_test.py	rkoyanagui/pyning	0	39189	<gh_stars>0 import unittest from pyning.tail_recursion.fibonacci import naive_fib from pyning.utils.testutils import BaseTest class FibonacciTailRecursionTest(BaseTest): def test_zero(self): self.check(f=naive_fib, xr=0, n=0) def test_one(self): self.check(f=naive_fib, xr=1, n=1) def test_two(self): self.check(f=naive_fib, xr=1, n=2) def test_three(self): self.check(f=naive_fib, xr=2, n=3) def test_four(self): self.check(f=naive_fib, xr=3, n=4) def test_five(self): self.check(f=naive_fib, xr=5, n=5) def test_six(self): self.check(f=naive_fib, xr=8, n=6) if __name__ == '__main__': unittest.main()	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 5215, 443, 27958, 13, 13, 3166, 282, 948, 292, 29889, 18237, 29918, 3757, 1295, 291, 29889, 29888, 747, 265, 21566, 1053, 1055, 573, 29918, 29888, 747, 13, 3166, 282, 948, 292, 29889, 13239, 29889, 1688, 13239, 1053, 7399, 3057, 13, 13, 13, 1990, 383, 747, 265, 21566, 29911, 737, 4789, 1295, 291, 3057, 29898, 5160, 3057, 1125, 13, 13, 1678, 822, 1243, 29918, 9171, 29898, 1311, 1125, 13, 4706, 1583, 29889, 3198, 29898, 29888, 29922, 1056, 573, 29918, 29888, 747, 29892, 921, 29878, 29922, 29900, 29892, 302, 29922, 29900, 29897, 13, 13, 1678, 822, 1243, 29918, 650, 29898, 1311, 1125, 13, 4706, 1583, 29889, 3198, 29898, 29888, 29922, 1056, 573, 29918, 29888, 747, 29892, 921, 29878, 29922, 29896, 29892, 302, 29922, 29896, 29897, 13, 13, 1678, 822, 1243, 29918, 10184, 29898, 1311, 1125, 13, 4706, 1583, 29889, 3198, 29898, 29888, 29922, 1056, 573, 29918, 29888, 747, 29892, 921, 29878, 29922, 29896, 29892, 302, 29922, 29906, 29897, 13, 13, 1678, 822, 1243, 29918, 17536, 29898, 1311, 1125, 13, 4706, 1583, 29889, 3198, 29898, 29888, 29922, 1056, 573, 29918, 29888, 747, 29892, 921, 29878, 29922, 29906, 29892, 302, 29922, 29941, 29897, 13, 13, 1678, 822, 1243, 29918, 17823, 29898, 1311, 1125, 13, 4706, 1583, 29889, 3198, 29898, 29888, 29922, 1056, 573, 29918, 29888, 747, 29892, 921, 29878, 29922, 29941, 29892, 302, 29922, 29946, 29897, 13, 13, 1678, 822, 1243, 29918, 20818, 29898, 1311, 1125, 13, 4706, 1583, 29889, 3198, 29898, 29888, 29922, 1056, 573, 29918, 29888, 747, 29892, 921, 29878, 29922, 29945, 29892, 302, 29922, 29945, 29897, 13, 13, 1678, 822, 1243, 29918, 28319, 29898, 1311, 1125, 13, 4706, 1583, 29889, 3198, 29898, 29888, 29922, 1056, 573, 29918, 29888, 747, 29892, 921, 29878, 29922, 29947, 29892, 302, 29922, 29953, 29897, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 443, 27958, 29889, 3396, 580, 13, 2 ]
python/tests/test_auxdata.py	clayne/gtirb	230	123523	<gh_stars>100-1000 import unittest from unittest import mock import gtirb class AuxDataTest(unittest.TestCase): def setUp(self): self.fake_ir = mock.MagicMock() self.fake_ir.get_by_uuid = None def test_lazy(self): ad1 = gtirb.AuxData("test1", "string") self.assertEqual(ad1.data, "test1") serialized = ad1._to_protobuf() ad2 = gtirb.AuxData._from_protobuf(serialized, self.fake_ir) # Peek inside: the data is not yet deserialized self.assertTrue(ad2._data is None) # Accessing the data should deserialize self.assertEqual(ad1.data, ad2.data) self.assertTrue(ad2._data is not None) # Just exercise repr self.assertEqual( repr(ad2), "AuxData(type_name='string', data='test1', )" ) def test_lazy_never_deserialized(self): serialized = gtirb.AuxData("testing 123", "string")._to_protobuf() ad1 = gtirb.AuxData._from_protobuf(serialized, self.fake_ir) # Peek inside: the data is not yet deserialized self.assertTrue(ad1._data is None) serialized2 = ad1._to_protobuf() self.assertTrue(ad1._data is None) self.assertEqual(serialized, serialized2) if __name__ == "__main__": unittest.main()	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29900, 29900, 29899, 29896, 29900, 29900, 29900, 13, 5215, 443, 27958, 13, 3166, 443, 27958, 1053, 11187, 13, 13, 5215, 330, 29873, 381, 29890, 13, 13, 13, 1990, 319, 1314, 1469, 3057, 29898, 348, 27958, 29889, 3057, 8259, 1125, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 1583, 29889, 29888, 1296, 29918, 381, 353, 11187, 29889, 19095, 293, 18680, 580, 13, 4706, 1583, 29889, 29888, 1296, 29918, 381, 29889, 657, 29918, 1609, 29918, 25118, 353, 6213, 13, 13, 1678, 822, 1243, 29918, 433, 1537, 29898, 1311, 1125, 13, 4706, 594, 29896, 353, 330, 29873, 381, 29890, 29889, 29909, 1314, 1469, 703, 1688, 29896, 613, 376, 1807, 1159, 13, 4706, 1583, 29889, 9294, 9843, 29898, 328, 29896, 29889, 1272, 29892, 376, 1688, 29896, 1159, 13, 13, 4706, 7797, 1891, 353, 594, 29896, 3032, 517, 29918, 17529, 9721, 580, 13, 4706, 594, 29906, 353, 330, 29873, 381, 29890, 29889, 29909, 1314, 1469, 3032, 3166, 29918, 17529, 9721, 29898, 15550, 1891, 29892, 1583, 29889, 29888, 1296, 29918, 381, 29897, 13, 4706, 396, 3938, 1416, 2768, 29901, 278, 848, 338, 451, 3447, 16964, 616, 1891, 13, 4706, 1583, 29889, 9294, 5574, 29898, 328, 29906, 3032, 1272, 338, 6213, 29897, 13, 13, 4706, 396, 11028, 292, 278, 848, 881, 16964, 6646, 13, 4706, 1583, 29889, 9294, 9843, 29898, 328, 29896, 29889, 1272, 29892, 594, 29906, 29889, 1272, 29897, 13, 4706, 1583, 29889, 9294, 5574, 29898, 328, 29906, 3032, 1272, 338, 451, 6213, 29897, 13, 13, 4706, 396, 3387, 15058, 2062, 13, 4706, 1583, 29889, 9294, 9843, 29898, 13, 9651, 2062, 29898, 328, 29906, 511, 376, 29909, 1314, 1469, 29898, 1853, 29918, 978, 2433, 1807, 742, 848, 2433, 1688, 29896, 742, 1723, 29908, 13, 4706, 1723, 13, 13, 1678, 822, 1243, 29918, 433, 1537, 29918, 484, 369, 29918, 2783, 261, 616, 1891, 29898, 1311, 1125, 13, 4706, 7797, 1891, 353, 330, 29873, 381, 29890, 29889, 29909, 1314, 1469, 703, 13424, 29871, 29896, 29906, 29941, 613, 376, 1807, 2564, 29918, 517, 29918, 17529, 9721, 580, 13, 13, 4706, 594, 29896, 353, 330, 29873, 381, 29890, 29889, 29909, 1314, 1469, 3032, 3166, 29918, 17529, 9721, 29898, 15550, 1891, 29892, 1583, 29889, 29888, 1296, 29918, 381, 29897, 13, 4706, 396, 3938, 1416, 2768, 29901, 278, 848, 338, 451, 3447, 16964, 616, 1891, 13, 4706, 1583, 29889, 9294, 5574, 29898, 328, 29896, 3032, 1272, 338, 6213, 29897, 13, 13, 4706, 7797, 1891, 29906, 353, 594, 29896, 3032, 517, 29918, 17529, 9721, 580, 13, 4706, 1583, 29889, 9294, 5574, 29898, 328, 29896, 3032, 1272, 338, 6213, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 15550, 1891, 29892, 7797, 1891, 29906, 29897, 13, 13, 13, 361, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 13, 1678, 443, 27958, 29889, 3396, 580, 13, 2 ]
tool/pypoc/kubecfg/commands/jsonnet.py	ant31/kubecfg	0	147767	import os import json from kubecfg.render_jsonnet import RenderJsonnet from kubecfg.commands.command_base import CommandBase, LoadVariables class JsonnetCmd(CommandBase): name = 'jsonnet' help_message = "Resolve a jsonnet file with the kubecfgstd available" def __init__(self, options): super(JsonnetCmd, self).__init__(options) self.namespace = options.namespace self.variables = options.variables if isinstance(options.filepath, list): self.filepath = options.filepath[0] else: self.filepath = options.filepath self.result = None self.action = "package" @classmethod def _add_arguments(cls, parser): parser.add_argument("--namespace", help="kubernetes namespace", default='default') parser.add_argument("-x", "--variables", help="variables", default={}, action=LoadVariables) parser.add_argument('filepath', nargs=1, help="jsonnet file to render") def _call(self): r = RenderJsonnet(manifestpath=self.filepath) if os.path.basename(self.filepath) == "manifest.jsonnet": namespace = self.namespace self.variables['namespace'] = namespace tla_codes = {"params": json.dumps({"variables": self.variables, "action": self.action})} else: tla_codes = self.variables p = open(self.filepath).read() self.result = r.render_jsonnet(p, tla_codes=tla_codes) def _render_dict(self): return self.result def _render_console(self): return json.dumps(self._render_dict(), indent=2, separators=(',', ': '))	[ 1, 1053, 2897, 13, 5215, 4390, 13, 3166, 413, 431, 687, 16434, 29889, 9482, 29918, 3126, 1212, 1053, 26000, 8148, 1212, 13, 3166, 413, 431, 687, 16434, 29889, 26381, 29889, 6519, 29918, 3188, 1053, 10516, 5160, 29892, 16012, 10444, 1849, 13, 13, 13, 1990, 14355, 1212, 23651, 29898, 6255, 5160, 1125, 13, 1678, 1024, 353, 525, 3126, 1212, 29915, 13, 1678, 1371, 29918, 4906, 353, 376, 12375, 345, 263, 4390, 1212, 934, 411, 278, 413, 431, 687, 16434, 4172, 3625, 29908, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 3987, 1125, 13, 4706, 2428, 29898, 8148, 1212, 23651, 29892, 1583, 467, 1649, 2344, 12035, 6768, 29897, 13, 4706, 1583, 29889, 22377, 353, 3987, 29889, 22377, 13, 4706, 1583, 29889, 20897, 353, 3987, 29889, 20897, 13, 4706, 565, 338, 8758, 29898, 6768, 29889, 1445, 2084, 29892, 1051, 1125, 13, 9651, 1583, 29889, 1445, 2084, 353, 3987, 29889, 1445, 2084, 29961, 29900, 29962, 13, 4706, 1683, 29901, 13, 9651, 1583, 29889, 1445, 2084, 353, 3987, 29889, 1445, 2084, 13, 4706, 1583, 29889, 2914, 353, 6213, 13, 4706, 1583, 29889, 2467, 353, 376, 5113, 29908, 13, 13, 1678, 732, 1990, 5696, 13, 1678, 822, 903, 1202, 29918, 25699, 29898, 25932, 29892, 13812, 1125, 13, 4706, 13812, 29889, 1202, 29918, 23516, 703, 489, 22377, 613, 1371, 543, 29895, 17547, 7397, 613, 2322, 2433, 4381, 1495, 13, 4706, 13812, 29889, 1202, 29918, 23516, 703, 29899, 29916, 613, 376, 489, 20897, 613, 1371, 543, 20897, 613, 2322, 3790, 1118, 3158, 29922, 5896, 10444, 1849, 29897, 13, 4706, 13812, 29889, 1202, 29918, 23516, 877, 1445, 2084, 742, 302, 5085, 29922, 29896, 29892, 1371, 543, 3126, 1212, 934, 304, 4050, 1159, 13, 13, 1678, 822, 903, 4804, 29898, 1311, 1125, 13, 4706, 364, 353, 26000, 8148, 1212, 29898, 29135, 2084, 29922, 1311, 29889, 1445, 2084, 29897, 13, 4706, 565, 2897, 29889, 2084, 29889, 6500, 3871, 29898, 1311, 29889, 1445, 2084, 29897, 1275, 376, 29135, 29889, 3126, 1212, 1115, 13, 9651, 7397, 353, 1583, 29889, 22377, 13, 9651, 1583, 29889, 20897, 1839, 22377, 2033, 353, 7397, 13, 9651, 260, 433, 29918, 18137, 353, 8853, 7529, 1115, 4390, 29889, 29881, 17204, 3319, 29908, 20897, 1115, 1583, 29889, 20897, 29892, 376, 2467, 1115, 1583, 29889, 2467, 1800, 29913, 13, 4706, 1683, 29901, 13, 9651, 260, 433, 29918, 18137, 353, 1583, 29889, 20897, 13, 4706, 282, 353, 1722, 29898, 1311, 29889, 1445, 2084, 467, 949, 580, 13, 4706, 1583, 29889, 2914, 353, 364, 29889, 9482, 29918, 3126, 1212, 29898, 29886, 29892, 260, 433, 29918, 18137, 29922, 29873, 433, 29918, 18137, 29897, 13, 13, 1678, 822, 903, 9482, 29918, 8977, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 2914, 13, 13, 1678, 822, 903, 9482, 29918, 11058, 29898, 1311, 1125, 13, 4706, 736, 4390, 29889, 29881, 17204, 29898, 1311, 3032, 9482, 29918, 8977, 3285, 29536, 29922, 29906, 29892, 2903, 4097, 7607, 742, 742, 525, 29901, 525, 876, 13, 2 ]
tests/test_connections.py	iparaskev/py_connect	5	29380	<filename>tests/test_connections.py """test_connections.py""" import unittest import os from py_connect import ConnectionsHandler from py_connect import Board, Peripheral, SensorTypes cons_path = \ "/".join(os.path.abspath(__file__).split("/")[:-2]) + "/test_connections/" class TestConnection(unittest.TestCase): def test_gpio_connection(self): connections = ConnectionsHandler(cons_path + "debug_connection.cd") gpio_con = connections.connections["rpi_sonar"] gpio_con_2 = connections.connections["rpi_sonar_2"] # Good connection # Just check args self.assertEqual(gpio_con.name, "rpi_sonar", "Wrong connection name.") self.assertIsInstance(gpio_con.board, Board, "Should be board.") self.assertIsInstance(gpio_con.peripheral, Peripheral, "Should be peripheral.") self.assertEqual(gpio_con.board.name, "rpi_3b_plus", "Should be rpi_3b_plus") self.assertEqual(gpio_con.peripheral.name, "hc_sr04", "Should be hc_sr04") # Check right power connections. self.assertEqual(gpio_con.power_connections[0].pin_1, self.target(gpio_con.board.pins, "gnd_1"), "Should be gnd_1.") self.assertEqual(gpio_con.power_connections[0].pin_2, self.target(gpio_con.peripheral.pins, "gnd"), "Should be gnd.") self.assertEqual(gpio_con.power_connections[1].pin_1, self.target(gpio_con.board.pins, "power_5v_1"), "Should be power_5v_1.") self.assertEqual(gpio_con.power_connections[1].pin_2, self.target(gpio_con.peripheral.pins, "vcc"), "Should be vcc.") # Check right hw_connections self.assertEqual(gpio_con.hw_connections[0].hwint_1, self.target(gpio_con.board.hw_interfaces, "bcm_7"), "Should be bcm_23") self.assertEqual(gpio_con.hw_connections[0].hwint_2, self.target(gpio_con.peripheral.hw_interfaces, "echo"), "Should be echo") self.assertEqual(gpio_con.hw_connections[1].hwint_1, self.target(gpio_con.board.hw_interfaces, "bcm_24"), "Should be bcm_24") self.assertEqual(gpio_con.hw_connections[1].hwint_2, self.target(gpio_con.peripheral.hw_interfaces, "trigger"), "Should be trigger.") # Different objects of same device self.assertNotEqual(gpio_con.peripheral, gpio_con_2.peripheral, "Should be different.") def target(self, ls, name): for p in ls: if p.name == name: return p def test_i2c(self): connections = ConnectionsHandler(cons_path + "debug_connection.cd") i2c_con = connections.connections["rpi_bme680"] self.assertEqual(i2c_con.hw_connections[0].hwint_1, self.target(i2c_con.board.hw_interfaces, "i2c_1"), "Should be i2c_1 of rpi.") self.assertEqual(i2c_con.hw_connections[0].hwint_2, self.target(i2c_con.peripheral.hw_interfaces, "i2c_0"), "Should be i2c_0 of bme.") self.assertEqual(i2c_con.hw_connections[0].slave_address, int(0x77), "Should be 0x77.") def test_spi(self): connections = ConnectionsHandler(cons_path + "debug_connection.cd") spi_con = connections.connections["rpi_icm"] self.assertEqual(spi_con.hw_connections[0].hwint_1, self.target(spi_con.board.hw_interfaces, "spi_0"), "Should be spi_0 of rpi.") self.assertEqual(spi_con.hw_connections[0].hwint_2, self.target(spi_con.peripheral.hw_interfaces, "spi_0"), "Should be spi_0 of bme.") ce_index = spi_con.hw_connections[0].ce_index ce_pin = spi_con.hw_connections[0].hwint_1.ce[ce_index] self.assertEqual(ce_pin.name, "bcm_8", "Should be bcm_8.") def test_comm_endpoint(self): connections = ConnectionsHandler(cons_path + "debug_connection.cd") con = connections.connections["rpi_sonar"] # Simple communication checks self.assertEqual(con.com_endpoint.topic_name, "sonar_1.distance") self.assertEqual(con.com_endpoint.conn_params.username, "testuser", "Should be testuser.") self.assertEqual(con.com_endpoint.conn_params.password, "testuser", "Should be <PASSWORD>user.") self.assertEqual(con.com_endpoint.conn_params.host, "r4a-platform.ddns.net", "Should be ...") self.assertEqual(con.com_endpoint.conn_params.port, 5782, "Should be 5782") self.assertEqual(con.com_endpoint.msg.msg_entries[0].type, SensorTypes.DISTANCE) self.assertEqual(con.com_endpoint.msg.msg_entries[0].frequency, 10) con = connections.connections["rpi_bme680"] self.assertEqual(con.com_endpoint.msg.msg_entries[0].type, SensorTypes.ENV) #self.assertEqual(con.com_endpoint.msg.msg_entries[1].type, # SensorTypes.HUMIDITY) #self.assertEqual(con.com_endpoint.msg.msg_entries[2].type, # SensorTypes.GAS) if __name__ == "__main__": unittest.main()	[ 1, 529, 9507, 29958, 21150, 29914, 1688, 29918, 11958, 1953, 29889, 2272, 13, 15945, 29908, 1688, 29918, 11958, 1953, 29889, 2272, 15945, 29908, 13, 13, 5215, 443, 27958, 13, 5215, 2897, 13, 3166, 11451, 29918, 6915, 1053, 1281, 484, 1953, 4598, 13, 3166, 11451, 29918, 6915, 1053, 12590, 29892, 2431, 29875, 8096, 284, 29892, 317, 6073, 10562, 13, 13, 13, 3200, 29918, 2084, 353, 320, 13, 1678, 5591, 1642, 7122, 29898, 359, 29889, 2084, 29889, 370, 1028, 493, 22168, 1445, 1649, 467, 5451, 11974, 1159, 7503, 29899, 29906, 2314, 718, 5591, 1688, 29918, 11958, 1953, 12975, 13, 13, 13, 1990, 4321, 5350, 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tests/v1/test_logs_status_remapper.py	MichaelTROEHLER/datadog-api-client-python	0	143221	<reponame>MichaelTROEHLER/datadog-api-client-python # coding: utf-8 # Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License. # This product includes software developed at Datadog (https://www.datadoghq.com/). # Copyright 2019-Present Datadog, Inc. from __future__ import absolute_import import sys import unittest import datadog_api_client.v1 try: from datadog_api_client.v1.model import logs_status_remapper_type except ImportError: logs_status_remapper_type = sys.modules[ 'datadog_api_client.v1.model.logs_status_remapper_type'] from datadog_api_client.v1.model.logs_status_remapper import LogsStatusRemapper class TestLogsStatusRemapper(unittest.TestCase): """LogsStatusRemapper unit test stubs""" def setUp(self): pass def tearDown(self): pass def testLogsStatusRemapper(self): """Test LogsStatusRemapper""" # FIXME: construct object with mandatory attributes with example values # model = LogsStatusRemapper() # noqa: E501 pass if __name__ == '__main__': unittest.main()	[ 1, 529, 276, 1112, 420, 29958, 24083, 29911, 1672, 29923, 15444, 1001, 29914, 4130, 328, 468, 29899, 2754, 29899, 4645, 29899, 4691, 13, 29937, 14137, 29901, 23616, 29899, 29947, 13, 13, 29937, 25870, 9479, 8703, 6467, 599, 2066, 297, 445, 9810, 526, 7794, 21144, 1090, 278, 13380, 29899, 29906, 29889, 29900, 19245, 29889, 13, 29937, 910, 3234, 7805, 7047, 8906, 472, 13373, 328, 468, 313, 991, 597, 1636, 29889, 4130, 328, 468, 29882, 29939, 29889, 510, 12495, 13, 29937, 14187, 1266, 29871, 29906, 29900, 29896, 29929, 29899, 13504, 296, 13373, 328, 468, 29892, 9266, 29889, 13, 13, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 13, 5215, 10876, 13, 5215, 443, 27958, 13, 13, 5215, 1418, 328, 468, 29918, 2754, 29918, 4645, 29889, 29894, 29896, 13, 2202, 29901, 13, 1678, 515, 1418, 328, 468, 29918, 2754, 29918, 4645, 29889, 29894, 29896, 29889, 4299, 1053, 10748, 29918, 4882, 29918, 276, 655, 2496, 29918, 1853, 13, 19499, 16032, 2392, 29901, 13, 1678, 10748, 29918, 4882, 29918, 276, 655, 2496, 29918, 1853, 353, 10876, 29889, 7576, 29961, 13, 4706, 525, 4130, 328, 468, 29918, 2754, 29918, 4645, 29889, 29894, 29896, 29889, 4299, 29889, 20756, 29918, 4882, 29918, 276, 655, 2496, 29918, 1853, 2033, 13, 3166, 1418, 328, 468, 29918, 2754, 29918, 4645, 29889, 29894, 29896, 29889, 4299, 29889, 20756, 29918, 4882, 29918, 276, 655, 2496, 1053, 4522, 29879, 5709, 7301, 23239, 13, 13, 13, 1990, 4321, 3403, 29879, 5709, 7301, 23239, 29898, 348, 27958, 29889, 3057, 8259, 1125, 13, 1678, 9995, 3403, 29879, 5709, 7301, 23239, 5190, 1243, 19281, 29879, 15945, 29908, 13, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 1209, 13, 13, 1678, 822, 734, 279, 6767, 29898, 1311, 1125, 13, 4706, 1209, 13, 13, 1678, 822, 1243, 3403, 29879, 5709, 7301, 23239, 29898, 1311, 1125, 13, 4706, 9995, 3057, 4522, 29879, 5709, 7301, 23239, 15945, 29908, 13, 4706, 396, 383, 6415, 2303, 29901, 3386, 1203, 411, 9619, 7606, 8393, 411, 1342, 1819, 13, 4706, 396, 1904, 353, 4522, 29879, 5709, 7301, 23239, 580, 29871, 396, 694, 25621, 29901, 382, 29945, 29900, 29896, 13, 4706, 1209, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 443, 27958, 29889, 3396, 580, 13, 2 ]
yatube/posts/migrations/0011_auto_20220127_2115.py	Andr3w-k/yatube_final	0	183154	<reponame>Andr3w-k/yatube_final # Generated by Django 2.2.16 on 2022-01-27 21:15 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('posts', '0010_follow'), ] operations = [ migrations.AlterModelOptions( name='comment', options={'ordering': ('-created',), 'verbose_name': 'Комментарий', 'verbose_name_plural': 'Комментарии'}, ), migrations.AlterModelOptions( name='follow', options={'verbose_name': 'Подписка', 'verbose_name_plural': 'Подписки'}, ), migrations.AlterModelOptions( name='group', options={'verbose_name': 'Группа', 'verbose_name_plural': 'Группы'}, ), migrations.AlterField( model_name='comment', name='post', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='comments', to='posts.Post', verbose_name='Пост'), ), migrations.AddConstraint( model_name='follow', constraint=models.UniqueConstraint(fields=('user', 'author'), name='unique subscription'), ), ]	[ 1, 529, 276, 1112, 420, 29958, 2855, 29878, 29941, 29893, 29899, 29895, 29914, 29891, 271, 4003, 29918, 8394, 13, 29937, 3251, 630, 491, 15337, 29871, 29906, 29889, 29906, 29889, 29896, 29953, 373, 29871, 29906, 29900, 29906, 29906, 29899, 29900, 29896, 29899, 29906, 29955, 29871, 29906, 29896, 29901, 29896, 29945, 13, 13, 3166, 9557, 29889, 2585, 1053, 9725, 800, 29892, 4733, 13, 5215, 9557, 29889, 2585, 29889, 9794, 29889, 311, 1026, 291, 13, 13, 13, 1990, 341, 16783, 29898, 26983, 800, 29889, 29924, 16783, 1125, 13, 13, 1678, 9962, 353, 518, 13, 4706, 6702, 14080, 742, 525, 29900, 29900, 29896, 29900, 29918, 23031, 5477, 13, 1678, 4514, 13, 13, 1678, 6931, 353, 518, 13, 4706, 9725, 800, 29889, 2499, 357, 3195, 5856, 29898, 13, 9651, 1024, 2433, 9342, 742, 13, 9651, 3987, 3790, 29915, 2098, 292, 2396, 6702, 29899, 11600, 742, 511, 525, 369, 15828, 29918, 978, 2396, 525, 30014, 9530, 19900, 10598, 742, 525, 369, 15828, 29918, 978, 29918, 572, 3631, 2396, 525, 30014, 9530, 19900, 5887, 16675, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2499, 357, 3195, 5856, 29898, 13, 9651, 1024, 2433, 23031, 742, 13, 9651, 3987, 3790, 29915, 369, 15828, 29918, 978, 2396, 525, 30013, 10285, 1668, 2494, 742, 525, 369, 15828, 29918, 978, 29918, 572, 3631, 2396, 525, 30013, 10285, 1668, 1305, 16675, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2499, 357, 3195, 5856, 29898, 13, 9651, 1024, 2433, 2972, 742, 13, 9651, 3987, 3790, 29915, 369, 15828, 29918, 978, 2396, 525, 30040, 13379, 1843, 742, 525, 369, 15828, 29918, 978, 29918, 572, 3631, 2396, 525, 30040, 13379, 8384, 16675, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2499, 357, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 9342, 742, 13, 9651, 1024, 2433, 2490, 742, 13, 9651, 1746, 29922, 9794, 29889, 27755, 2558, 29898, 265, 29918, 8143, 29922, 14095, 29889, 2585, 29889, 9794, 29889, 311, 1026, 291, 29889, 29907, 3289, 5454, 2287, 29892, 4475, 29918, 978, 2433, 21032, 742, 304, 2433, 14080, 29889, 6747, 742, 26952, 29918, 978, 2433, 20093, 464, 5477, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2528, 21529, 29898, 13, 9651, 1904, 29918, 978, 2433, 23031, 742, 13, 9651, 7276, 29922, 9794, 29889, 8110, 802, 21529, 29898, 9621, 29922, 877, 1792, 742, 525, 8921, 5477, 1024, 2433, 13092, 25691, 5477, 13, 4706, 10353, 13, 1678, 4514, 13, 2 ]
Session_01/koch.py	UP-RS-ESP/GEW-DAP05-2018	2	13614	<gh_stars>1-10 import sys import numpy as np from matplotlib import pyplot as pl def koch(x0, y0, rho, phi, order): global xr, yr x1, y1 = x0 + rho * np.cos(phi), y0 + rho * np.sin(phi) if order: x, y = x0, y0 for angle in [0, np.pi/3, 5*np.pi/3, 0]: x, y = koch(x, y, rho / 3.0, phi + angle, order - 1) else: xr.append(x1) yr.append(y1) return (x1, y1) xr = [1,] yr = [1,] koch(xr[0], yr[0], 1, 0, 5) pl.plot(xr, yr, 'r.-', lw = 0.5) ax = pl.gca() ax.set_aspect('equal') pl.grid() pl.show()	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 5215, 10876, 13, 5215, 12655, 408, 7442, 13, 3166, 22889, 1053, 11451, 5317, 408, 715, 13, 13, 1753, 413, 2878, 29898, 29916, 29900, 29892, 343, 29900, 29892, 364, 1251, 29892, 1374, 29875, 29892, 1797, 1125, 13, 1678, 5534, 921, 29878, 29892, 343, 29878, 13, 13, 1678, 921, 29896, 29892, 343, 29896, 353, 921, 29900, 718, 364, 1251, 334, 7442, 29889, 3944, 29898, 2876, 511, 343, 29900, 718, 364, 1251, 334, 7442, 29889, 5223, 29898, 2876, 29897, 13, 1678, 565, 1797, 29901, 13, 4706, 921, 29892, 343, 353, 921, 29900, 29892, 343, 29900, 13, 4706, 363, 10696, 297, 518, 29900, 29892, 7442, 29889, 1631, 29914, 29941, 29892, 29871, 29945, 29930, 9302, 29889, 1631, 29914, 29941, 29892, 29871, 29900, 5387, 13, 9651, 921, 29892, 343, 353, 413, 2878, 29898, 29916, 29892, 343, 29892, 364, 1251, 847, 29871, 29941, 29889, 29900, 29892, 1374, 29875, 718, 10696, 29892, 1797, 448, 29871, 29896, 29897, 13, 1678, 1683, 29901, 13, 4706, 921, 29878, 29889, 4397, 29898, 29916, 29896, 29897, 13, 4706, 343, 29878, 29889, 4397, 29898, 29891, 29896, 29897, 13, 13, 1678, 736, 313, 29916, 29896, 29892, 343, 29896, 29897, 13, 13, 29916, 29878, 353, 518, 29896, 26073, 13, 4316, 353, 518, 29896, 26073, 13, 29895, 2878, 29898, 29916, 29878, 29961, 29900, 1402, 343, 29878, 29961, 29900, 1402, 29871, 29896, 29892, 29871, 29900, 29892, 29871, 29945, 29897, 13, 572, 29889, 5317, 29898, 29916, 29878, 29892, 343, 29878, 29892, 525, 29878, 9229, 742, 301, 29893, 353, 29871, 29900, 29889, 29945, 29897, 13, 1165, 353, 715, 29889, 29887, 1113, 580, 13, 1165, 29889, 842, 29918, 294, 1103, 877, 11745, 1495, 13, 572, 29889, 7720, 580, 13, 572, 29889, 4294, 580, 13, 2 ]
Codes/Liam/001_two_sum.py	liuxiaohui1221/algorithm	256	28809	<reponame>liuxiaohui1221/algorithm # 执行用时 : 348 ms # 内存消耗 : 13 MB # 方案：哈希表 class Solution(object): def twoSum(self, nums, target): """ :type nums: List[int] :type target: int :rtype: List[int] """ # 创建哈希表{value:idx} record = {} # 遍数组 for idx, value in enumerate(nums): # 如果差值在哈希表中,返回对应索引以及循环中本次idx # 如果差值不在，则在哈希表中插入该value:idx if (target - value) in record.keys(): return [record[target - value], idx] else: record[value] = idx	[ 1, 529, 276, 1112, 420, 29958, 492, 1314, 423, 1148, 1481, 29896, 29906, 29906, 29896, 29914, 20567, 13, 29937, 29871, 233, 140, 170, 30448, 30406, 30594, 584, 29871, 29941, 29946, 29947, 10887, 13, 29937, 29871, 30728, 30946, 31276, 235, 131, 154, 584, 29871, 29896, 29941, 13232, 13, 13, 29937, 29871, 30525, 233, 164, 139, 30383, 232, 150, 139, 31841, 30746, 13, 13, 13, 1990, 24380, 29898, 3318, 1125, 13, 1678, 822, 1023, 11139, 29898, 1311, 29892, 954, 29879, 29892, 3646, 1125, 13, 4706, 9995, 13, 4706, 584, 1853, 954, 29879, 29901, 2391, 29961, 524, 29962, 13, 4706, 584, 1853, 3646, 29901, 938, 13, 4706, 584, 29878, 1853, 29901, 2391, 29961, 524, 29962, 13, 4706, 9995, 13, 4706, 396, 29871, 31441, 30886, 232, 150, 139, 31841, 30746, 29912, 1767, 29901, 13140, 29913, 13, 4706, 2407, 353, 6571, 13, 4706, 396, 29871, 236, 132, 144, 30354, 31263, 13, 4706, 363, 22645, 29892, 995, 297, 26985, 29898, 1949, 29879, 1125, 13, 9651, 396, 29871, 30847, 30801, 232, 186, 177, 30959, 30505, 232, 150, 139, 31841, 30746, 30275, 29892, 31086, 30742, 30783, 31370, 31836, 31674, 29871, 30651, 31436, 29871, 232, 193, 173, 234, 145, 178, 30275, 30346, 30936, 13140, 13, 9651, 396, 29871, 30847, 30801, 232, 186, 177, 30959, 30413, 30505, 30214, 31403, 30505, 232, 150, 139, 31841, 30746, 30275, 233, 146, 149, 30752, 31751, 1767, 29901, 13140, 13, 9651, 565, 313, 5182, 448, 995, 29897, 297, 2407, 29889, 8149, 7295, 13, 18884, 736, 518, 11651, 29961, 5182, 448, 995, 1402, 22645, 29962, 13, 9651, 1683, 29901, 13, 18884, 2407, 29961, 1767, 29962, 353, 22645, 13, 2 ]
pysan/multi/attributes.py	pysan-dev/pysan	4	147695	<gh_stars>1-10 # AUTOGENERATED! DO NOT EDIT! File to edit: 21_multi_attributes.ipynb (unless otherwise specified). __all__ = ['are_recurrent', 'get_summary_statistic', 'get_routine_scores', 'get_synchrony', 'get_sequence_frequencies'] # Cell def are_recurrent(sequences): "Returns true if any of the sequences in a given collection are recurrant, false otherwise." for sequence in sequences: if pysan_core.is_recurrent(sequence): return True return False # Cell def get_summary_statistic(sequence, function): "Computes a summary statistic (e.g. entropy, complexity, or turbulence) for each sequence in a collection, returning the results as a list." pass # Cell def get_routine_scores(sequences, duration): "Returns a list containing the routine scores for each sequence in a collection using :meth:`get_routine() <pysan.core.get_routine>`." pass # Cell def get_synchrony(sequences): "Computes the normalised synchrony between a two or more sequences. Synchrony here refers to positions with identical elements, e.g. two identical sequences have a synchrony of 1, two completely different sequences have a synchrony of 0. The value is normalised by dividing by the number of positions compared. This computation is defined in Cornwell's 2015 book on social sequence analysis, page 230." shortest_sequence = min([len(s) for s in sequences]) same_elements = [] for position in range(shortest_sequence): elements_at_this_position = [] for sequence in sequences: elements_at_this_position.append(sequence[position]) same_elements.append(elements_at_this_position.count(elements_at_this_position[0]) == len(elements_at_this_position)) return same_elements.count(True) / shortest_sequence # Cell def get_sequence_frequencies(sequences): "Computes the frequencies of different sequences in a collection, returning a dictionary of their string representations and counts." # converting to strings makes comparison easy sequences_as_strings = [str(s) for s in sequences] sequence_frequencies = {} for sequence in set(sequences_as_strings): sequence_frequencies[sequence] = sequences_as_strings.count(sequence) sequence_frequencies = {k: v for k, v in sorted(sequence_frequencies.items(), key=lambda item: item[1], reverse=True)} return sequence_frequencies	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 29937, 26524, 29949, 24647, 1001, 3040, 29928, 29991, 11662, 6058, 11488, 29991, 3497, 304, 3863, 29901, 29871, 29906, 29896, 29918, 9910, 29918, 15697, 29889, 666, 948, 29890, 313, 28952, 6467, 6790, 467, 13, 13, 1649, 497, 1649, 353, 6024, 598, 29918, 3757, 1264, 742, 525, 657, 29918, 7727, 29918, 6112, 4695, 742, 525, 657, 29918, 14608, 457, 29918, 1557, 2361, 742, 525, 657, 29918, 29879, 9524, 29891, 742, 525, 657, 29918, 16506, 29918, 10745, 339, 15942, 2033, 13, 13, 29937, 19413, 13, 1753, 526, 29918, 3757, 1264, 29898, 6831, 2063, 1125, 13, 1678, 376, 11609, 29879, 1565, 565, 738, 310, 278, 15602, 297, 263, 2183, 4333, 526, 1162, 1038, 424, 29892, 2089, 6467, 1213, 13, 13, 1678, 363, 5665, 297, 15602, 29901, 13, 4706, 565, 282, 952, 273, 29918, 3221, 29889, 275, 29918, 3757, 1264, 29898, 16506, 1125, 13, 9651, 736, 5852, 13, 13, 1678, 736, 7700, 13, 13, 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tirelire-account/app/views/__init__.py	AgRenaud/tirelire	0	172999	from app.views import account from app.views import holder	[ 1, 515, 623, 29889, 7406, 1053, 3633, 13, 3166, 623, 29889, 7406, 1053, 19464, 13, 2 ]
clip_finder_camera.py	leventerevesz/tomato-clips	0	74868	<reponame>leventerevesz/tomato-clips import cv2 as cv import numpy as np import matplotlib.pyplot as plt def clip_finder_camera(): cap = cv.VideoCapture(1) i=0 while True: # Read the camera in color mode. _, img = cap.read() #img = cv.imread('images/tomato1.jpg', cv.IMREAD_COLOR) blur = cv.GaussianBlur(img,(7,7),0) # blur for filtering out little blue pixels # Get image width and height width, height, channels = img.shape hsv_img = cv.cvtColor(blur, cv.COLOR_BGR2HSV) # HSV to segment # Segment blue regions lower_bound = (40, 40, 30) # Hue is between 50 and 110 upper_bound = (105, 255, 255) rgb_lower_bound = (0, 0, 0) # RGB limits rgb_upper_bound = (30, 255, 255) mask_rgb = cv.inRange(blur, rgb_lower_bound, rgb_upper_bound) mask_hsv = cv.inRange(hsv_img, lower_bound, upper_bound) result_rgb = cv.bitwise_and(img, img, mask=mask_rgb) result_hsv = cv.bitwise_and(hsv_img, hsv_img, mask=mask_hsv) reversemask=255-mask_hsv rmask=reversemask # Dilate (white ^) and Erode (black ^) dkernel = np.ones((3,3),np.uint8) ekernel = np.ones((5,5),np.uint8) dilate = cv.dilate(reversemask,dkernel,iterations = 1) erosion = cv.erode(dilate,ekernel,iterations = 1) # Contuors with bounding rectangle _, contours, _=cv.findContours(erosion, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE) rectlist=[] mode=2 # 1: perfect contour, 2: straight rectangle, 3: rotated rectangle for cnt in contours: if mode==1: cv.drawContours(erosion, [cnt], 0, (100,100,100), 5) if mode==2: x,y,w,h = cv.boundingRect(cnt) if w > width-20 or h > height-20: continue else: rectlist.append((x,y,w,h)) #cv.rectangle(img,(x,y),(x+w,y+h),(255,0,0),5) if mode==3: rect = cv.minAreaRect(cnt) box = cv.boxPoints(rect) box = np.int0(box) cv.drawContours(img,[box],0,(255,0,0),5) # Filtering out smaller rectangles if len(rectlist) != 0: for i in range (8): avgw=0 avgh=0 maxw=0 maxh=0 for rect in rectlist: # average rectangle size for filtering avgw+=rect[2] avgh+=rect[3] if maxw<rect[2]: maxw=rect[2] if maxh<rect[3]: maxh=rect[3] avgw=avgw/len(rectlist) avgh=avgh/len(rectlist) for rect in rectlist: # filter out too small rectangles w, h = rect[2], rect[3] if w<maxw-avgw or h<maxh-avgh: rectlist.remove(rect) final=[] for i in range(len(rectlist)): #bounding rectangles for every pair of object for j in range(i + 1, len(rectlist)): x1,y1,w1,h1=rectlist[i] x2,y2,w2,h2=rectlist[j] if abs(y1-y2)<avgh4 and abs(x1-x2)<avgw2: if x1==x2 and y1==y2: continue else: if x1<x2: x=x1 else: x=x2 if y1<y2: y=y1 else: y=y2 if x1+w1<x2+w2: w=x2+w2-x else: w=x1+w1-x if y1+h1<y2+h2: w=y2+h2-y else: h=y1+h1-y if (x,y,w,h) not in final: final.append((x,y,w,h)) for rect in final: x,y,w,h=rect cv.rectangle(img,(x,y),(x+w,y+h),(0,0,255),3) cv.imshow('rectangles',img) k=cv.waitKey(1) if k==27: break elif k==ord('s'): i+=1 cv.imwrite('results/rect_res_'+str(i)+'.jpg',img) continue cap.release() cv.destroyAllWindows() return 0 if __name__=="__main__": clip_finder_camera()	[ 1, 529, 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make_training_data/fetch_training_data.py	tanhanliang/ml-deviant-subgraph-detection	1	181216	""" This module contains functions to fetch data from the database according to particular rules (e.g. process downloaded a file from the internet, then executed it). Each function corresponds to one rule. """ from data_processing.neo4j_interface_fns import execute_query def get_train_3_node_simple(): """ Gets training data for 3-node patterns. First pattern: process connects to a socket, writes to a file. Second pattern: process connects to a socket, connects to another process. :return: A list of BoltStatementResult objects """ download_file_write = """ MATCH path1=(process:Process)<-[write]-(:File) MATCH path2=(process:Process)<-[]-(:Socket) WHERE (write.state = 'RaW' OR write.state = 'WRITE') RETURN path1, path2 LIMIT 2000 """ proc_proc_soc = """ MATCH p1=(process:Process)<-[]-(sock:Socket) MATCH p2=(process:Process)<-[]-(proc:Process) RETURN p1,p2 LIMIT 2000 """ negative_data = """ MATCH path1=(n1)<-[r1]-(m1) MATCH path2=(n1)<-[r2]-(m2) WHERE m1 <> m2 AND (NOT "File" IN labels(m1) OR NOT "Socket" IN labels(m2)) AND (NOT "Process" IN labels(n1)) AND (r1.state <> 'RaW' AND r1.state <> 'WRITE') RETURN path1, path2 LIMIT 2000 """ return [execute_query(download_file_write), execute_query(proc_proc_soc), execute_query(negative_data)] def get_train_4_node_diff_name(): """ Gets training data where the pattern of nodes in the graph is the same: A process connects to a socket, reads a file and executes another file. The only difference is in the name of the file read. Pattern 1: Name is '/etc/libmap.conf' Pattern 2: Name is '/lib/libc.so.7' Pattern 3: Name is '/lib/libcrypto.so.8' :return: A list of BoltStatementResult objects """ general_pattern = """ MATCH path1=(process:Process)<-[conn]-(sock:Socket) MATCH path2=(process:Process)<-[read]-(file:File) MATCH path3=(process:Process)<-[exec]-(file2:File) WHERE read.state="READ" AND exec.state="BIN" AND file2.name[0] =~ '/usr.' AND file <> file2 AND file.name[0] = '%s' RETURN path1,path2,path3 LIMIT 1000 """ negative_data = """ MATCH path1=(node1)<-[r1]-(node2) MATCH path2=(node1)<-[r2]-(node3) MATCH path3=(node1)<-[r3]-(node4) WHERE (NOT "Process" in labels(node1) OR NOT "Socket" IN labels(node2) OR NOT "File" IN labels(node3) OR NOT "File" IN labels(node4) OR r2.state <> "READ" OR r3.state <> "BIN" OR NOT node4.name[0] =~ '/usr.' OR NOT (node3.name[0] = '/etc/libmap.conf' OR node3.name[0] = '/lib/libc.so.7' OR node4.name[0] = '/lib/libcrypto.so.8')) AND node3 <> node4 RETURN path1,path2,path3 LIMIT 1000 """ names = ['/etc/libmap.conf', '/lib/libc.so.7', '/lib/libcrypto.so.8'] results = [] for name in names: results.append(execute_query(general_pattern % name)) results.append(execute_query(negative_data)) return results def get_train_4_node_test_cmdline(): """ Creates training data where the only constant difference between the pattern and the negative data is the presence of the word '-k' somewhere in the cmdline of a particlar node. :return: A list of BoltStatementResults results """ pattern = """ MATCH path1=(node1)<-[]-(node2) MATCH path2=(node1)<-[]-(node3) MATCH path3=(node1)<-[]-(node4) WHERE node2 <> node3 AND node3 <> node4 AND node2 <> node4 AND node1.cmdline =~ '.-k.' RETURN path1,path2,path3 LIMIT 1000 """ negative_data = """ MATCH path1=(node1)<-[]-(node2) MATCH path2=(node1)<-[]-(node3) MATCH path3=(node1)<-[]-(node4) WHERE node2 <> node3 AND node3 <> node4 AND node2 <> node4 AND NOT node1.cmdline =~ '.-k.' RETURN path1,path2,path3 LIMIT 1000 """ return [execute_query(pattern), execute_query(negative_data)] def get_train_4_node_simple(): """ Queries the db twice for the same simple 4 node pattern. This is used to help me synthesise training data (it is queried twice so the pipeline will partition the data by assigning different labels, so I can edit data in one half of it). :return: A list of BoltStatementResult objects """ pattern = """ MATCH path1=(node1)<-[]-(node2), path2=(node1)<-[]-(node3), path3=(node1)<-[]-(node4) RETURN path1,path2,path3 LIMIT 1000 """ return [execute_query(pattern), execute_query(pattern)] def get_train_6_node_general(): """ Queries the database for a particular 6-node pattern. :return: A list of BoltStatementResult objects. """ pattern = """ MATCH path1=(node1)<-[r1]-(node2), path2=(node1)<-[r2]-(node3), path3=(node1)<-[r3]-(node4), path4=(node3)<-[r4]-(node5), path5=(node3)<-[r5]-(node6) RETURN path1,path2,path3,path4,path5 LIMIT 1000 """ return [execute_query(pattern), execute_query(pattern)] def get_train_8_nodes_general(): pattern = """ MATCH path1=(node1)<-[]-(node2), path2=(node1)<-[]-(node3), path3=(node1)<-[]-(node4), path4=(node3)<-[]-(node5), path5=(node3)<-[]-(node6), path6=(node5)<-[]-(node7), path7=(node6)<-[]-(node8) RETURN path1,path2,path3,path4,path5,path6,path7 LIMIT 1000 """ return [execute_query(pattern), execute_query(pattern)] def get_train_10_nodes_general(): pattern = """ MATCH path1=(node1)<-[]-(node2), path2=(node1)<-[]-(node3), path3=(node1)<-[]-(node4), path4=(node3)<-[]-(node5), path5=(node3)<-[]-(node6), path6=(node5)<-[]-(node7), path7=(node6)<-[]-(node8), path8=(node9)<-[]-(node6), path9=(node10)<-[]-(node9) RETURN path1,path2,path3,path4,path5,path6,path7,path8,path9 LIMIT 1000 """ return [execute_query(pattern), execute_query(pattern)] def get_train_12_nodes_general(): pattern = """ MATCH path1=(node1)<-[]-(node2), path2=(node1)<-[]-(node3), path3=(node1)<-[]-(node4), path4=(node3)<-[]-(node5), path5=(node3)<-[]-(node6), path6=(node5)<-[]-(node7), path7=(node6)<-[]-(node8), path8=(node9)<-[]-(node6), path9=(node10)<-[]-(node9), path10=(node11)<-[]-(node2), path11=(node12)<-[]-(node4) RETURN path1,path2,path3,path4,path5,path6,path7,path8,path9,path10,path11 LIMIT 1000 """ return [execute_query(pattern), execute_query(pattern)] def get_train_16_nodes_general(): pattern = """ MATCH path1=(node1)<-[]-(node2), path2=(node1)<-[]-(node3), path3=(node1)<-[]-(node4), path4=(node3)<-[]-(node5), path5=(node3)<-[]-(node6), path6=(node5)<-[]-(node7), path7=(node6)<-[]-(node8), path8=(node9)<-[]-(node6), path9=(node10)<-[]-(node9), path10=(node6)<-[]-(node11), path11=(node6)<-[]-(node12), path12=(node6)<-[]-(node13), path13=(node6)<-[]-(node14) RETURN 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make_prg/io_utils.py	mbhall88/make_prg	10	56475	import logging import re import gzip from pathlib import Path from argparse import ArgumentParser from Bio import AlignIO from make_prg.from_msa import MSA from make_prg.prg_encoder import PrgEncoder, PRG_Ints def load_alignment_file(msa_file: str, alignment_format: str) -> MSA: msa_file = str(msa_file) logging.info("Read from MSA file %s", msa_file) if msa_file.endswith(".gz"): logging.debug("MSA is gzipped") handle = gzip.open(msa_file, "rt") alignment = AlignIO.read(handle, alignment_format) handle.close() else: alignment = AlignIO.read(msa_file, alignment_format) for record in alignment: record.seq = record.seq.upper() return alignment # ***********/ # GFA code / # **********/ class GFA_Output: """ A simple class for converting a PRG string into a GFA file TODO: Update to GFA2 format """ def __init__(self, gfa_string="", gfa_id=0, gfa_site=5): self.gfa_string = gfa_string self.gfa_id = gfa_id self.gfa_site = gfa_site self.delim_char = " " # This mirrors the AlignedSeq class. def split_on_site(self, prg_string, site_num): site_coords = [ (a.start(), a.end()) for a in list( re.finditer( "%s%d%s" % (self.delim_char, site_num, self.delim_char), prg_string ) ) ] last_pos = None split_strings = [] for (start, end) in site_coords: split_strings.append(prg_string[last_pos:start]) last_pos = end split_strings.append(prg_string[last_pos:]) delim = "%s%d%s" % (self.delim_char, site_num, self.delim_char) check_string = delim.join(split_strings) assert check_string == prg_string, ( "Something has gone wrong with the string split for site %d\nsplit_" "strings: %s" % (site_num, split_strings) ) return split_strings def build_gfa_string(self, prg_string, pre_var_id=None): """Takes prg_string and builds a gfa_string with fragments from the prg_string.""" end_ids = [] # iterate through sites present, updating gfa_string with each in turn while str(self.gfa_site) in prg_string: logging.debug("gfa_site: %d", self.gfa_site) prgs = self.split_on_site(prg_string, self.gfa_site) logging.debug("prgs: %s", prgs) assert len(prgs) == 3, "Invalid prg sequence %s for site %d and id %d" % ( prg_string, self.gfa_site, self.gfa_id, ) # add pre-var site string and links from previous seq fragments if prgs[0] != "": self.gfa_string += "S\t%d\t%s\tRC:i:0\n" % (self.gfa_id, prgs[0]) else: # adds an empty node for empty pre var site seqs self.gfa_string += "S\t%d\t%s\tRC:i:0\n" % (self.gfa_id, "") pre_var_id = self.gfa_id self.gfa_id += 1 for id in end_ids: self.gfa_string += "L\t%d\t+\t%d\t+\t0M\n" % (id, pre_var_id) end_ids = [] # recursively add segments for each of the variant haplotypes at # this site, saving the end id for each haplotype vars = self.split_on_site(prgs[1], self.gfa_site + 1) assert len(vars) > 1, "Invalid prg sequence %s for site %d and id %d" % ( prg_string, self.gfa_site + 1, self.gfa_id, ) logging.debug("vars: %s", vars) self.gfa_site += 2 logging.debug("gfa_site: %d", self.gfa_site) for var_string in vars: if pre_var_id != None: self.gfa_string += "L\t%d\t+\t%d\t+\t0M\n" % ( pre_var_id, self.gfa_id, ) var_end_ids = self.build_gfa_string( prg_string=var_string, pre_var_id=pre_var_id ) end_ids.extend(var_end_ids) prg_string = prgs[2] pre_var_id = None # finally add the final bit of sequence after variant site if prg_string != "": self.gfa_string += "S\t%d\t%s\tRC:i:0\n" % (self.gfa_id, prg_string) else: self.gfa_string += "S\t%d\t%s\tRC:i:0\n" % (self.gfa_id, "") for id in end_ids: self.gfa_string += "L\t%d\t+\t%d\t+\t0M\n" % (id, self.gfa_id) end_ids = [] return_id = [self.gfa_id] self.gfa_id += 1 return return_id def write_gfa(outfile, prg_string): """ Writes a gfa file from prg string. 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skbot/ignition/sdformat/bindings/v15/physics.py	FirefoxMetzger/ropy	6	13913	from dataclasses import dataclass, field from typing import Optional __NAMESPACE__ = "sdformat/v1.5/physics.xsd" @dataclass class Physics: """ The physics tag specifies the type and properties of the dynamics engine. Parameters ---------- max_step_size: Maximum time step size at which every system in simulation can interact with the states of the world. (was physics.sdf's dt). real_time_factor: target simulation speedup factor, defined by ratio of simulation time to real-time. real_time_update_rate: Rate at which to update the physics engine (UpdatePhysics calls per real-time second). (was physics.sdf's update_rate). max_contacts: Maximum number of contacts allowed between two entities. This value can be over ridden by a max_contacts element in a collision element. gravity: The gravity vector in m/s^2, expressed in a coordinate frame defined by the spherical_coordinates tag. magnetic_field: The magnetic vector in Tesla, expressed in a coordinate frame defined by the spherical_coordinates tag. simbody: Simbody specific physics properties bullet: Bullet specific physics properties ode: ODE specific physics properties name: The name of this set of physics parameters. default: If true, this physics element is set as the default physics profile for the world. If multiple default physics elements exist, the first element marked as default is chosen. If no default physics element exists, the first physics element is chosen. type: The type of the dynamics engine. Current options are ode, bullet, simbody and rtql8. Defaults to ode if left unspecified. """ class Meta: name = "physics" max_step_size: float = field( default=0.001, metadata={ "type": "Element", "namespace": "", "required": True, }, ) real_time_factor: float = field( default=1.0, metadata={ "type": "Element", "namespace": "", "required": True, }, ) real_time_update_rate: float = field( default=1000.0, metadata={ "type": "Element", "namespace": "", "required": True, }, ) max_contacts: int = field( default=20, metadata={ "type": "Element", "namespace": "", "required": True, }, ) gravity: str = field( default="0 0 -9.8", metadata={ "type": "Element", "namespace": "", "required": True, "pattern": r"(\s(-\|\+)?(\d+(\.\d)?\|\.\d+\|\d+\.\d+[eE][-\+]?[0-9]+)\s+){2}((-\|\+)?(\d+(\.\d)?\|\.\d+\|\d+\.\d+[eE][-\+]?[0-9]+))\s", }, ) magnetic_field: str = field( default="5.5645e-6 22.8758e-6 -42.3884e-6", metadata={ "type": "Element", "namespace": "", "required": True, "pattern": r"(\s(-\|\+)?(\d+(\.\d)?\|\.\d+\|\d+\.\d+[eE][-\+]?[0-9]+)\s+){2}((-\|\+)?(\d+(\.\d)?\|\.\d+\|\d+\.\d+[eE][-\+]?[0-9]+))\s", }, ) simbody: Optional["Physics.Simbody"] = field( default=None, metadata={ "type": "Element", "namespace": "", }, ) bullet: Optional["Physics.Bullet"] = field( default=None, metadata={ "type": "Element", "namespace": "", }, ) ode: Optional["Physics.Ode"] = field( default=None, metadata={ "type": "Element", "namespace": "", }, ) name: str = field( default="default_physics", metadata={ "type": "Attribute", }, ) default: bool = field( default=False, metadata={ "type": "Attribute", }, ) type: Optional[str] = field( default=None, metadata={ "type": "Attribute", "required": True, }, ) @dataclass class Simbody: """ Simbody specific physics properties. Parameters ---------- min_step_size: (Currently not used in simbody) The time duration which advances with each iteration of the dynamics engine, this has to be no bigger than max_step_size under physics block. If left unspecified, min_step_size defaults to max_step_size. accuracy: Roughly the relative error of the system. -LOG(accuracy) is roughly the number of significant digits. max_transient_velocity: Tolerable "slip" velocity allowed by the solver when static friction is supposed to hold object in place. contact: Relationship among dissipation, coef. restitution, etc. d = dissipation coefficient (1/velocity) vc = capture velocity (velocity where e=e_max) vp = plastic velocity (smallest v where e=e_min) &gt; vc Assume real COR=1 when v=0. e_min = given minimum COR, at v &gt;= vp (a.k.a. plastic_coef_restitution) d = slope = (1-e_min)/vp OR, e_min = 1 - dvp e_max = maximum COR = 1-dvc, reached at v=vc e = 0, v &lt;= vc = 1 - dv, vc &lt; v &lt; vp = e_min, v &gt;= vp dissipation factor = dmin(v,vp) [compliant] cor = e [rigid] Combining rule e = 0, e1==e2==0 = 2e1e2/(e1+e2), otherwise """ min_step_size: float = field( default=0.0001, metadata={ "type": "Element", "namespace": "", "required": True, }, ) accuracy: float = field( default=0.001, metadata={ "type": "Element", "namespace": "", "required": True, }, ) max_transient_velocity: float = field( default=0.01, metadata={ "type": "Element", "namespace": "", "required": True, }, ) contact: Optional["Physics.Simbody.Contact"] = field( default=None, metadata={ "type": "Element", "namespace": "", }, ) @dataclass class Contact: """Relationship among dissipation, coef. restitution, etc. d = dissipation coefficient (1/velocity) vc = capture velocity (velocity where e=e_max) vp = plastic velocity (smallest v where e=e_min) &gt; vc Assume real COR=1 when v=0. e_min = given minimum COR, at v &gt;= vp (a.k.a. plastic_coef_restitution) d = slope = (1-e_min)/vp OR, e_min = 1 - dvp e_max = maximum COR = 1-dvc, reached at v=vc e = 0, v &lt;= vc = 1 - dv, vc &lt; v &lt; vp = e_min, v &gt;= vp dissipation factor = dmin(v,vp) [compliant] cor = e [rigid] Combining rule e = 0, e1==e2==0 = 2e1e2/(e1+e2), otherwise Parameters ---------- stiffness: Default contact material stiffness (force/dist or torque/radian). dissipation: dissipation coefficient to be used in compliant contact; if not given it is (1-min_cor)/plastic_impact_velocity plastic_coef_restitution: this is the COR to be used at high velocities for rigid impacts; if not given it is 1 - dissipation*plastic_impact_velocity plastic_impact_velocity: smallest impact velocity at which min COR is reached; set to zero if you want the min COR always to be used static_friction: static friction (mu_s) as described by this plot: http://gazebosim.org/wiki/File:Stribeck_friction.png dynamic_friction: dynamic friction (mu_d) as described by this plot: http://gazebosim.org/wiki/File:Stribeck_friction.png viscous_friction: viscous friction (mu_v) with units of (1/velocity) as described by this plot: http://gazebosim.org/wiki/File:Stribeck_friction.png override_impact_capture_velocity: for rigid impacts only, impact velocity at which COR is set to zero; normally inherited from global default but can be overridden here. Combining rule: use larger velocity override_stiction_transition_velocity: This is the largest slip velocity at which we'll consider a transition to stiction. Normally inherited from a global default setting. For a continuous friction model this is the velocity at which the max static friction force is reached. Combining rule: use larger velocity """ stiffness: float = field( default=100000000.0, metadata={ "type": "Element", "namespace": "", "required": True, }, ) dissipation: float = field( default=100.0, metadata={ "type": "Element", "namespace": "", "required": True, }, ) plastic_coef_restitution: float = field( default=0.5, metadata={ "type": "Element", "namespace": "", "required": True, }, ) plastic_impact_velocity: float = field( default=0.5, metadata={ "type": "Element", "namespace": "", "required": True, }, ) static_friction: float = field( default=0.9, metadata={ "type": "Element", "namespace": "", "required": True, }, ) dynamic_friction: float = field( default=0.9, metadata={ "type": "Element", "namespace": "", "required": True, }, ) viscous_friction: float = field( default=0.0, metadata={ "type": "Element", "namespace": "", "required": True, }, ) override_impact_capture_velocity: float = field( default=0.001, metadata={ "type": "Element", "namespace": "", "required": True, }, ) override_stiction_transition_velocity: float = field( default=0.001, metadata={ "type": "Element", "namespace": "", "required": True, }, ) @dataclass class Bullet: """ Bullet specific physics properties. Parameters ---------- solver: constraints: Bullet constraint parameters. """ solver: Optional["Physics.Bullet.Solver"] = field( default=None, metadata={ "type": "Element", "namespace": "", "required": True, }, ) constraints: Optional["Physics.Bullet.Constraints"] = field( default=None, metadata={ "type": "Element", "namespace": "", "required": True, }, ) @dataclass class Solver: """ Parameters ---------- type: One of the following types: sequential_impulse only. min_step_size: The time duration which advances with each iteration of the dynamics engine, this has to be no bigger than max_step_size under physics block. If left unspecified, min_step_size defaults to max_step_size. iters: Number of iterations for each step. A higher number produces greater accuracy at a performance cost. sor: Set the successive over-relaxation parameter. """ type: str = field( default="sequential_impulse", metadata={ "type": "Element", "namespace": "", "required": True, }, ) min_step_size: float = field( default=0.0001, metadata={ "type": "Element", "namespace": "", "required": True, }, ) iters: int = field( default=50, metadata={ "type": "Element", "namespace": "", "required": True, }, ) sor: float = field( default=1.3, metadata={ "type": "Element", "namespace": "", "required": True, }, ) @dataclass class Constraints: """ Bullet constraint parameters. Parameters ---------- cfm: Constraint force mixing parameter. See the ODE page for more information. erp: Error reduction parameter. See the ODE page for more information. contact_surface_layer: The depth of the surface layer around all geometry objects. Contacts are allowed to sink into the surface layer up to the given depth before coming to rest. The default value is zero. Increasing this to some small value (e.g. 0.001) can help prevent jittering problems due to contacts being repeatedly made and broken. split_impulse: Similar to ODE's max_vel implementation. See http://web.archive.org/web/20120430155635/http://bulletphysics.org/mediawiki-1.5.8/index.php/BtContactSolverInfo#Split_Impulse for more information. split_impulse_penetration_threshold: Similar to ODE's max_vel implementation. See http://web.archive.org/web/20120430155635/http://bulletphysics.org/mediawiki-1.5.8/index.php/BtContactSolverInfo#Split_Impulse for more information. """ cfm: float = field( default=0.0, metadata={ "type": "Element", "namespace": "", "required": True, }, ) erp: float = field( default=0.2, metadata={ "type": "Element", "namespace": "", "required": True, }, ) contact_surface_layer: float = field( default=0.001, metadata={ "type": "Element", "namespace": "", "required": True, }, ) split_impulse: bool = field( default=True, metadata={ "type": "Element", "namespace": "", "required": True, }, ) split_impulse_penetration_threshold: float = field( default=-0.01, metadata={ "type": "Element", "namespace": "", "required": True, }, ) @dataclass class Ode: """ ODE specific physics properties. Parameters ---------- solver: constraints: ODE constraint parameters. """ solver: Optional["Physics.Ode.Solver"] = field( default=None, metadata={ "type": "Element", "namespace": "", "required": True, }, ) constraints: Optional["Physics.Ode.Constraints"] = field( default=None, metadata={ "type": "Element", "namespace": "", "required": True, }, ) @dataclass class Solver: """ Parameters ---------- type: One of the following types: world, quick min_step_size: The time duration which advances with each iteration of the dynamics engine, this has to be no bigger than max_step_size under physics block. If left unspecified, min_step_size defaults to max_step_size. iters: Number of iterations for each step. A higher number produces greater accuracy at a performance cost. precon_iters: Experimental parameter. sor: Set the successive over-relaxation parameter. use_dynamic_moi_rescaling: Flag to enable dynamic rescaling of moment of inertia in constrained directions. See gazebo pull request 1114 for the implementation of this feature. https://osrf- migration.github.io/gazebo-gh-pages/#!/osrf/gazebo/pull- request/1114 """ type: str = field( default="quick", metadata={ "type": "Element", "namespace": "", "required": True, }, ) min_step_size: float = field( default=0.0001, metadata={ "type": "Element", "namespace": "", "required": True, }, ) iters: int = field( default=50, metadata={ "type": "Element", "namespace": "", "required": True, }, ) precon_iters: int = field( default=0, metadata={ "type": "Element", "namespace": "", "required": True, }, ) sor: float = field( default=1.3, metadata={ "type": "Element", "namespace": "", "required": True, }, ) use_dynamic_moi_rescaling: bool = field( default=False, metadata={ "type": "Element", "namespace": "", "required": True, }, ) @dataclass class Constraints: """ ODE constraint parameters. Parameters ---------- cfm: Constraint force mixing parameter. See the ODE page for more information. erp: Error reduction parameter. See the ODE page for more information. contact_max_correcting_vel: The maximum correcting velocities allowed when resolving contacts. contact_surface_layer: The depth of the surface layer around all geometry objects. Contacts are allowed to sink into the surface layer up to the given depth before coming to rest. The default value is zero. Increasing this to some small value (e.g. 0.001) can help prevent jittering problems due to contacts being repeatedly made and broken. 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server/routes/courses/courses_auth.py	giuseppe998e/unito-ium	0	77891	#!/usr/bin/python3 import sqlite3 from flask import Blueprint, request, abort, make_response from modules import simple_jwt from modules.database import get_db_conn from modules.utils import logged_before_request, get_role_perms from server_error import server_error route_courses_auth = Blueprint('route_courses_auth', __name__) route_courses_auth.before_request(logged_before_request) # Check for login # -------------------------- # Create new course # -------------------------- @route_courses_auth.route('/courses', methods=['POST']) def course_add(): token_data = simple_jwt.read(request.headers.get('Authorization').split(' ')[1]) user_perms = get_role_perms(token_data.get('user')) req_data = request.get_json() if req_data: if user_perms.get('course_add', 0): with get_db_conn() as database: try: cursor = database.cursor() cursor.execute("""INSERT INTO courses (name) VALUES (?)""", [req_data.get('name')]) last_id_inserted = cursor.lastrowid database.commit() result = make_response({'ok': True, 'data': last_id_inserted}, 200) except sqlite3.Error as e: database.rollback() result = abort(500) print(e) finally: cursor.close() return result return abort(401) return abort(400) # -------------------------- # # -------------------------- @route_courses_auth.route('/courses/<int:course_id>', methods=['PUT']) def course_update(course_id: int): token_data = simple_jwt.read(request.headers.get('Authorization').split(' ')[1]) user_perms = get_role_perms(token_data.get('role')) req_data = request.get_json() if req_data: if user_perms.get('course_update', 0): with get_db_conn() as database: try: cursor = database.cursor() cursor.execute('UPDATE courses SET name = ? WHERE id = ?', [req_data.get('name'), course_id]) database.commit() result = make_response({'ok': True}, 200) except sqlite3.Error: database.rollback() result = server_error('COURSE_NOT_FOUND') finally: cursor.close() return result return abort(401) return abort(400) # -------------------------- # # -------------------------- @route_courses_auth.route('/courses/<int:course_id>', methods=['DELETE']) def course_remove(course_id: int): token_data = simple_jwt.read(request.headers.get('Authorization').split(' ')[1]) user_perms = get_role_perms(token_data.get('role')) if user_perms.get('course_delete', 0): with get_db_conn() as database: try: cursor = database.cursor() cursor.execute('DELETE FROM courses WHERE id = ?', [course_id]) database.commit() result = make_response({'ok': True}, 200) except sqlite3.Error: database.rollback() result = server_error('COURSE_NOT_FOUND') finally: cursor.close() return result return abort(401)	[ 1, 18787, 4855, 29914, 2109, 29914, 4691, 29941, 13, 5215, 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players/human.py	pikatyuu/deep-learning-othello	0	14339	class Human(): def __init__(self, name="Human"): self.name = name def action(self, game): safe_input = False while not safe_input: pos = input("choose a position: ") if pos == "draw": game.draw() elif pos == "exit": import sys sys.exit() elif pos == "movable": print(game.movable) elif len(pos) == 2: clone = game.clone() pos = tuple(map(int, tuple(pos))) if clone.can_play(pos): safe_input = True else: print("// Error: Can't put it down //") else: print("Error: Invaild input") return game.play(pos) def game_finished(self, game): pass def all_game_finished(self): pass	[ 1, 770, 12968, 7295, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1024, 543, 29950, 7889, 29908, 1125, 13, 4706, 1583, 29889, 978, 353, 1024, 13, 13, 1678, 822, 3158, 29898, 1311, 29892, 3748, 1125, 13, 4706, 9109, 29918, 2080, 353, 7700, 13, 4706, 1550, 451, 9109, 29918, 2080, 29901, 13, 9651, 926, 353, 1881, 703, 21803, 263, 2602, 29901, 16521, 13, 9651, 565, 926, 1275, 376, 4012, 1115, 13, 18884, 3748, 29889, 4012, 580, 13, 9651, 25342, 926, 1275, 376, 13322, 1115, 13, 18884, 1053, 10876, 13, 18884, 10876, 29889, 13322, 580, 13, 9651, 25342, 926, 1275, 376, 13529, 519, 1115, 13, 18884, 1596, 29898, 11802, 29889, 13529, 519, 29897, 13, 9651, 25342, 7431, 29898, 1066, 29897, 1275, 29871, 29906, 29901, 13, 18884, 17432, 353, 3748, 29889, 16513, 580, 13, 18884, 926, 353, 18761, 29898, 1958, 29898, 524, 29892, 18761, 29898, 1066, 4961, 13, 18884, 565, 17432, 29889, 3068, 29918, 1456, 29898, 1066, 1125, 13, 462, 1678, 9109, 29918, 2080, 353, 5852, 13, 18884, 1683, 29901, 13, 462, 1678, 1596, 703, 458, 4829, 29901, 1815, 29915, 29873, 1925, 372, 1623, 849, 1159, 13, 9651, 1683, 29901, 13, 18884, 1596, 703, 2392, 29901, 15518, 737, 29881, 1881, 1159, 13, 4706, 736, 3748, 29889, 1456, 29898, 1066, 29897, 13, 13, 1678, 822, 3748, 29918, 4951, 3276, 29898, 1311, 29892, 3748, 1125, 13, 4706, 1209, 13, 13, 1678, 822, 599, 29918, 11802, 29918, 4951, 3276, 29898, 1311, 1125, 13, 4706, 1209, 13, 2 ]
octopus/blocktopus/blocks/machines.py	richardingham/octopus	12	1608389	# Package Imports from ..workspace import Block, Disconnected, Cancelled # Twisted Imports from twisted.internet import reactor, defer, task from twisted.python import log # Octopus Imports from octopus import data from octopus.constants import State import octopus.transport.basic # Do not auto-register these classes __exclude_blocks__ = [ "connection_declaration", "machine_declaration", ] class connection_declaration (Block): pass class machine_declaration (Block): def _varName (self, name = None): return "global.machine::" + (name or self.fields['NAME']) def created (self): @self.on('value-changed') def onVarNameChanged (data): if not (data["block"] is self and data["field"] == 'NAME'): return self.workspace.variables.rename(data["oldValue"], data["newValue"]) def _run (self): @defer.inlineCallbacks def _connect (): connection = yield self.getInputValue('CONNECTION', None) if connection is None: raise Exception("No connection specified for machine '{:s}'".format(self.fields['NAME'])) cls = self.getMachineClass() self.machine = cls( connection, alias = self.fields['NAME'], **self.getMachineParams() ) self.workspace.variables.add(self._varName(), self.machine) try: result = yield self.machine.waitUntilReady() except Exception as e: print ("Machine connection error: " + str(e)) raise e print ("Machine block: connection complete to " + str(self.machine)) self.workspace.on("workspace-stopped", self._onWorkspaceStopped) self.workspace.on("workspace-paused", self._onWorkspacePaused) self.workspace.on("workspace-resumed", self._onWorkspaceResumed) # Short delay to allow the machine to get its first data # TODO - machines should only return ready when they # have received their first data. # TODO - make reset configurable. yield defer.gatherResults([ task.deferLater(reactor, 2, lambda: result), self.machine.reset() ]) return _connect() def _onWorkspaceStopped (self, data): print ("Machine block: terminating connection to " + str(self.machine)) self.workspace.off("workspace-stopped", self._onWorkspaceStopped) self.workspace.off("workspace-paused", self._onWorkspacePaused) self.workspace.off("workspace-resumed", self._onWorkspaceResumed) self.machine.stop() self.workspace.variables.remove(self._varName()) def _disconnect (machine): try: machine.disconnect() except AttributeError: pass except: log.err() # Allow some time for any remaining messages to be received. reactor.callLater(2, _disconnect, self.machine) self.machine = None def _onWorkspacePaused (self, data): self.machine.pause() def _onWorkspaceResumed (self, data): self.machine.resume() def getMachineClass (self): raise NotImplementedError() def getMachineParams (self): return {} def getGlobalDeclarationNames (self): name = self._varName() return Block.getGlobalDeclarationNames(self, [name] if not self.disabled else [] ) class machine_knauer_K120 (machine_declaration): def getMachineClass (self): from octopus.manufacturer import knauer return knauer.K120 class machine_knauer_S100 (machine_declaration): def getMachineClass (self): from octopus.manufacturer import knauer return knauer.S100 class machine_vici_multivalve (machine_declaration): def getMachineClass (self): from octopus.manufacturer import vici return vici.MultiValve class machine_mt_icir (machine_declaration): def getMachineClass (self): from octopus.manufacturer import mt return mt.ICIR def getMachineParams (self): import json try: return { "stream_names": json.loads(self.mutation)['stream_names'] } except (ValueError, KeyError): return {} class machine_phidgets_phsensor (machine_declaration): def getMachineClass (self): from octopus.manufacturer import phidgets return phidgets.PHSensor def getMachineParams (self): import json try: return { "min_change": float(json.loads(self.mutation)['min_change']) } except (ValueError, KeyError): return {} class machine_omega_hh306a (machine_declaration): def getMachineClass (self): from octopus.manufacturer import omega return omega.HH306A class machine_harvard_phd2000 (machine_declaration): def getMachineClass (self): from octopus.manufacturer import harvard return harvard.PHD2000Infuser def getMachineParams (self): import json try: return { "syringe_diameter": int(json.loads(self.mutation)['syringe_diameter']) } except (ValueError, KeyError): return {} class machine_mt_sics_balance (machine_declaration): def getMachineClass (self): from octopus.manufacturer import mt return mt.SICSBalance class machine_startech_powerremotecontrol (machine_declaration): def getMachineClass (self): from octopus.manufacturer import startech return startech.PowerRemoteControl class machine_gilson_FractionCollector203B (machine_declaration): def getMachineClass (self): from octopus.manufacturer import gilson return gilson.FractionCollector203B class connection_tcp (connection_declaration): def eval (self): return defer.succeed(octopus.transport.basic.tcp( str(self.fields['HOST']), 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shapely/tests/geometry/test_multipoint.py	whophil/shapely	0	89551	<filename>shapely/tests/geometry/test_multipoint.py import numpy as np import pytest from shapely.errors import EmptyPartError from shapely.geometry import MultiPoint, Point from shapely.geometry.base import dump_coords from .test_multi import MultiGeometryTestCase class TestMultiPoint(MultiGeometryTestCase): def test_multipoint(self): # From coordinate tuples geom = MultiPoint(((1.0, 2.0), (3.0, 4.0))) assert len(geom.geoms) == 2 assert dump_coords(geom) == [[(1.0, 2.0)], [(3.0, 4.0)]] # From points geom = MultiPoint((Point(1.0, 2.0), Point(3.0, 4.0))) assert len(geom.geoms) == 2 assert dump_coords(geom) == [[(1.0, 2.0)], [(3.0, 4.0)]] # From another multi-point geom2 = MultiPoint(geom) assert len(geom2.geoms) == 2 assert dump_coords(geom2) == [[(1.0, 2.0)], [(3.0, 4.0)]] # Sub-geometry Access assert isinstance(geom.geoms[0], Point) assert geom.geoms[0].x == 1.0 assert geom.geoms[0].y == 2.0 with pytest.raises(IndexError): # index out of range geom.geoms[2] # Geo interface assert geom.__geo_interface__ == { "type": "MultiPoint", "coordinates": ((1.0, 2.0), (3.0, 4.0)), } def test_multipoint_from_numpy(self): # Construct from a numpy array geom = MultiPoint(np.array([[0.0, 0.0], [1.0, 2.0]])) assert isinstance(geom, MultiPoint) assert len(geom.geoms) == 2 assert dump_coords(geom) == [[(0.0, 0.0)], [(1.0, 2.0)]] def test_subgeom_access(self): p0 = Point(1.0, 2.0) p1 = Point(3.0, 4.0) self.subgeom_access_test(MultiPoint, [p0, p1]) def test_create_multi_with_empty_component(self): msg = "Can't create MultiPoint with empty component" with pytest.raises(EmptyPartError, match=msg): MultiPoint([Point(0, 0), Point()]).wkt def test_multipoint_array_coercion(): geom = MultiPoint(((1.0, 2.0), (3.0, 4.0))) arr = np.array(geom) assert arr.ndim == 0 assert arr.size == 1 assert arr.dtype == np.dtype("object") assert arr.item() == geom def test_numpy_object_array(): geom = MultiPoint(((1.0, 2.0), (3.0, 4.0))) ar = np.empty(1, object) ar[:] = [geom] assert ar[0] == geom def test_len_raises(): geom = MultiPoint([[5.0, 6.0], [7.0, 8.0]]) with pytest.raises(TypeError): len(geom)	[ 1, 529, 9507, 29958, 845, 481, 873, 29914, 21150, 29914, 19156, 29914, 1688, 29918, 18056, 2461, 29889, 2272, 13, 5215, 12655, 408, 7442, 13, 5215, 11451, 1688, 13, 13, 3166, 528, 481, 873, 29889, 12523, 1053, 2812, 2349, 7439, 2392, 13, 3166, 528, 481, 873, 29889, 19156, 1053, 14974, 5228, 29892, 8984, 13, 3166, 528, 481, 873, 29889, 19156, 29889, 3188, 1053, 16766, 29918, 1111, 4339, 13, 13, 3166, 869, 1688, 29918, 9910, 1053, 14974, 7999, 7843, 3057, 8259, 13, 13, 13, 1990, 4321, 15329, 5228, 29898, 15329, 7999, 7843, 3057, 8259, 1125, 13, 1678, 822, 1243, 29918, 18056, 2461, 29898, 1311, 1125, 13, 13, 4706, 396, 3645, 14821, 5291, 2701, 13, 4706, 23216, 353, 14974, 5228, 3552, 29898, 29896, 29889, 29900, 29892, 29871, 29906, 29889, 29900, 511, 313, 29941, 29889, 29900, 29892, 29871, 29946, 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beta/nncf/tensorflow/graph/patterns.py	xiao1228/nncf	0	87207	""" Copyright (c) 2020 Intel Corporation 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 operator from functools import reduce from beta.nncf.tensorflow.graph.metatypes.common import ELEMENTWISE_LAYER_METATYPES from beta.nncf.tensorflow.graph.metatypes.common import GENERAL_CONV_LAYER_METATYPES from beta.nncf.tensorflow.graph.metatypes.common import LAYER_METATYPES_AGNOSTIC_TO_DATA_PRECISION_WITH_ONE_INPUT from beta.nncf.tensorflow.graph.metatypes.common import LINEAR_LAYER_METATYPES from beta.nncf.tensorflow.graph.pattern_matching import NodeExpression as N SET_CONV_LAYERS = {layer for m in GENERAL_CONV_LAYER_METATYPES for layer in m.get_all_aliases()} LIST_CONV_OPS = [N(layer) for layer in SET_CONV_LAYERS] SET_LINEAR_LAYERS = {layer for m in LINEAR_LAYER_METATYPES for layer in m.get_all_aliases()} LIST_LINEAR_OPS = [N(layer) for layer in SET_LINEAR_LAYERS] LIST_CONV_LINEAR_OPS = LIST_CONV_OPS + LIST_LINEAR_OPS CONV_LINEAR_OPS = reduce(operator.or_, LIST_CONV_LINEAR_OPS[1:], LIST_CONV_LINEAR_OPS[0]) SET_AGNOSTIC_LAYERS = { layer for m in LAYER_METATYPES_AGNOSTIC_TO_DATA_PRECISION_WITH_ONE_INPUT for layer in m.get_all_aliases() } LIST_AGNOSTIC_OPS = [N(layer) for layer in SET_AGNOSTIC_LAYERS] AG = reduce(operator.or_, LIST_AGNOSTIC_OPS[1:], LIST_AGNOSTIC_OPS[0]) BN = N('BatchNormalization') \| N('SyncBatchNormalization') HARD_SIGMOID = (N('AddV2') + N('ReLU') + N('Mul')) HARD_SWISH = (N('Multiply') & (HARD_SIGMOID + N('Multiply'))) KERAS_ACTIVATIONS = N('ReLU') \| N('ThresholdedReLU') \| N('ELU') \| N('PReLU') \| N('LeakyReLU') \| N('Activation') TF_ACTIVATIONS = N('Relu') ACT = KERAS_ACTIVATIONS \| TF_ACTIVATIONS \| HARD_SIGMOID \| HARD_SWISH ANY_BN_ACT_COMBO = BN + ACT \| ACT + BN \| BN \| ACT ANY_AG_BN_ACT_COMBO = AG + ACT \| ANY_BN_ACT_COMBO POOLING = N('AveragePooling2D') \| N('AveragePooling3D') \| N('GlobalAveragePooling2D') \| N('GlobalAveragePooling3D') SINGLE_OPS = POOLING \| N('Average') \| N('LayerNormalization') SET_ELEMENTWISE_LAYERS = {layer for m in ELEMENTWISE_LAYER_METATYPES for layer in m.get_all_aliases()} LIST_ELEMENTWISE_OPS = [N(layer) for layer in SET_ELEMENTWISE_LAYERS] ELEMENTWISE = reduce(operator.or_, LIST_ELEMENTWISE_OPS[1:], LIST_ELEMENTWISE_OPS[0])	[ 1, 9995, 13, 14187, 1266, 313, 29883, 29897, 29871, 29906, 29900, 29906, 29900, 18555, 15025, 13, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 418, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 7047, 13, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 13, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13764, 29979, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 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slcyGeneral.py	mirrorcoloured/slcypi	0	9350	# Python 2.7.1 import RPi.GPIO as GPIO from twython import Twython import time import sys import os import pygame APP_KEY='zmmlyAJzMDIntLpDYmSH98gbw' APP_SECRET='<KEY>' OAUTH_TOKEN='<KEY>' OAUTH_TOKEN_SECRET='<KEY>' applepislcy = Twython(APP_KEY, APP_SECRET, OAUTH_TOKEN, OAUTH_TOKEN_SECRET) ### GENERAL ### def Cleanup(): GPIO.cleanup() def Sleep(seconds): """Puts the program to sleep""" time.sleep(seconds) def Alert(channel): """Simple alert function for testing event interrupts""" print('Alert on channel',channel) def TimeString(): """Returns the current time""" t = time.localtime() return str(t[0])+'.'+str(t[1])+'.'+str(t[2])+'.'+str(t[3])+'.'+str(t[4])+'.'+str(t[5]) def LoadPins(mapping,inp): """Organizes an input into a pin mapping dict mapping <list>, ['IA','IB'] inp <dict>, <list>, <int> {'IA':1,'IB':2}, [1,2] """ if type(inp) is int and len(mapping) == 1: return {mapping[0]:inp} elif type(inp) is list and len(mapping) == len(inp): o = {} for i in range(len(inp)): o[mapping[i]] = inp[i] return o elif type(inp) is dict: return inp else: print('Invalid input for pins:',inp,type(inp)) print('Expected:',mapping) return {} def BoolToSign(inp): """Converts boolean bits into signed bits 0 -> -1 1 -> 1""" return (inp * 2) - 1 def SignToBool(inp): """Converts signed bits into boolean bits -1 -> 0 1 -> 1""" return (inp + 1) / 2 ### PYGAME ### def WindowSetup(size=(300,50),caption='',text='',background=(0,0,0),foreground=(255,255,255)): """Sets up a pygame window to take keyboard input size <tuple>, width by height caption <str>, window title bar text <str>, text to display in window, accepts \n background <tuple>, foreground <tuple>, (r,g,b) color """ pygame.init() screen = pygame.display.set_mode(size,0,32) pygame.display.set_caption(caption) myfont = pygame.font.SysFont('Monospace',15) labels = [] lines = text.split('\n') for line in lines: labels.append(myfont.render(line,1,foreground)) screen.fill(background) y = 0 for label in labels: screen.blit(label, (0,y)) y += 15 pygame.display.update() def InputLoop(eventmap): """Begins a pygame loop, mapping key inputs to functions eventmap <dict>, {pygame.K_t:myfunction} """ index = 0 while True: events = pygame.event.get() for event in events: if event.type == pygame.KEYDOWN: #print("{0}: You pressed {1:c}".format ( index , event.key )) if event.key in eventmap: eventmap[event.key]() elif event.type == pygame.QUIT: pygame.quit() sys.exit() def InputLoopDemo(): def dog(): print('woof') def cat(): print('meow') def fish(): print('blub') WindowSetup(caption='pet simulator',text='d for dog\nc for cat\nf for fish') InputLoop({pygame.K_d:dog, pygame.K_c:cat, pygame.K_f:fish}) ### TWITTER ### def Tweet(twit,statustext): """Tweets a message twit <Twython>, create with Twython(APP_KEY, APP_SECRET, OAUTH_TOKEN, OAUTH_TOKEN_SECRET) statustext <str>, must be <= 140 characters """ if len(statustext) > 140: print('ERROR: Character limit 140 exceeded:',len(statustext)) 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syntactic_complexity.py	volkancirik/synlana	1	54402	'''ORIGINAL file:https://github.com/neubig/util-scripts/blob/master/syntactic-complexity.py ''' #!/usr/bin/env python ''' A program to calculate syntactic complexity of parse trees. (Relies on NLTK) This is an implementation of some of the methods in: Syntactic complexity measures for detecting Mild Cognitive Impairment <NAME>, <NAME> and <NAME> Proc BioNLP 2007. ''' try: import sys from nltk.tree import Tree from nltk.draw.tree import TreeWidget from nltk.draw.util import (CanvasFrame, CanvasWidget, BoxWidget, TextWidget, ParenWidget, OvalWidget) except ImportError: print('Error: cannot import the NLTK!') print('You need to install the NLTK. Please visit http://nltk.org/install.html for details.') print("On Ubuntu, the installation can be done via 'sudo apt-get install python-nltk'") sys.exit() def calc_words(t): if type(t) == str: return 1 else: val = 0 for child in t: val += calc_words(child) return val def calc_nodes(t): if type(t) == str: return 0 else: val = 0 for child in t: val += calc_nodes(child)+1 return val def calc_yngve(t, par): if type(t) == str: return par else: val = 0 for i, child in enumerate(reversed(t)): val += calc_yngve(child, par+i) return val def is_sent(val): return len(val) > 0 and val[0] == "S" def calc_frazier(t, par, par_lab): # print t # print par if type(t) == str: # print par-1 return par-1 else: val = 0 for i, child in enumerate(t): # For all but the leftmost child, zero score = 0 if i == 0: my_lab = t.label() # If it's a sentence, and not duplicated, add 1.5 if is_sent(my_lab): score = (0 if is_sent(par_lab) else par+1.5) # Otherwise, unless it's a root node, add one elif my_lab != "" and my_lab != "ROOT" and my_lab != "TOP": score = par + 1 val += calc_frazier(child, score, my_lab) return val def main(): sents = 0 words_tot = 0 yngve_tot = 0 frazier_tot = 0 nodes_tot = 0 for line in sys.stdin: if line == "end": break print('>>>line', line) t = Tree.fromstring(line) words = calc_words(t) words_tot += words sents += 1 yngve = calc_yngve(t, 0) yngve_avg = float(yngve)/words yngve_tot += yngve_avg nodes = calc_nodes(t) nodes_avg = float(nodes)/words nodes_tot += nodes_avg frazier = calc_frazier(t, 0, "") frazier_avg = float(frazier)/words frazier_tot += frazier_avg print("Sentence=%d\twords=%d\tyngve=%f\tfrazier=%f\tnodes=%f" % (sents, words, yngve_avg, frazier_avg, nodes_avg)) # yngve_avg = float(yngve_tot)/sents # frazier_avg = float(frazier_tot)/sents # nodes_avg = float(nodes_tot)/sents # words_avg = float(words_tot)/sents # print("Total\tsents=%d\twords=%f\tyngve=%f\tfrazier=%f\tnodes=%f" % # (sents, words_avg, yngve_avg, frazier_avg, nodes_avg)) if __name__ == 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ex02_randomness_test/tests/test_main.py	ittigorn-tra/exercises	0	32288	from logging import getLogger from lottery_config import LotteryConfig from main import draw_lottery logger = getLogger() def test_draw_lottery(): for test_count in range(10000): draw_results = draw_lottery() logger.info(f'Test #{str(test_count).ljust(4)} Draw Results : {draw_results}') # check if return type is as in the requirement assert isinstance(draw_results, list) # check if properties is as in config assert len(draw_results) == LotteryConfig.DRAW_SIZE.value assert min(draw_results) >= LotteryConfig.BALL_MIN_NO.value assert max(draw_results) <= LotteryConfig.BALL_MAX_NO.value # check that the previous ball is always less than current ball previous_ball = LotteryConfig.BALL_MIN_NO.value - 1 for ball in draw_results: assert ball > previous_ball previous_ball = ball	[ 1, 515, 12183, 1053, 679, 16363, 13, 13, 3166, 3287, 22005, 29918, 2917, 1053, 20815, 22005, 3991, 13, 3166, 1667, 1053, 4216, 29918, 8276, 22005, 13, 13, 21707, 353, 679, 16363, 580, 13, 13, 13, 1753, 1243, 29918, 4012, 29918, 8276, 22005, 7295, 13, 1678, 363, 1243, 29918, 2798, 297, 3464, 29898, 29896, 29900, 29900, 29900, 29900, 1125, 13, 4706, 4216, 29918, 9902, 353, 4216, 29918, 8276, 22005, 580, 13, 4706, 17927, 29889, 3888, 29898, 29888, 29915, 3057, 24037, 710, 29898, 1688, 29918, 2798, 467, 29880, 5143, 29898, 29946, 2915, 18492, 17212, 584, 426, 4012, 29918, 9902, 29913, 1495, 13, 13, 4706, 396, 1423, 565, 736, 1134, 338, 408, 297, 278, 11809, 13, 4706, 4974, 338, 8758, 29898, 4012, 29918, 9902, 29892, 1051, 29897, 13, 13, 4706, 396, 1423, 565, 4426, 338, 408, 297, 2295, 13, 4706, 4974, 7431, 29898, 4012, 29918, 9902, 29897, 1275, 20815, 22005, 3991, 29889, 29928, 4717, 29956, 29918, 14226, 29889, 1767, 13, 4706, 4974, 1375, 29898, 4012, 29918, 9902, 29897, 6736, 20815, 22005, 3991, 29889, 29933, 9818, 29918, 16173, 29918, 6632, 29889, 1767, 13, 4706, 4974, 4236, 29898, 4012, 29918, 9902, 29897, 5277, 20815, 22005, 3991, 29889, 29933, 9818, 29918, 12648, 29918, 6632, 29889, 1767, 13, 13, 4706, 396, 1423, 393, 278, 3517, 8287, 338, 2337, 3109, 1135, 1857, 8287, 13, 4706, 3517, 29918, 2135, 353, 20815, 22005, 3991, 29889, 29933, 9818, 29918, 16173, 29918, 6632, 29889, 1767, 448, 29871, 29896, 13, 4706, 363, 8287, 297, 4216, 29918, 9902, 29901, 13, 9651, 4974, 8287, 1405, 3517, 29918, 2135, 13, 9651, 3517, 29918, 2135, 353, 8287, 13, 2 ]
Qt_interface/add_subject.py	kithsirij/NLP-based-Syllabus-Coverage-Exam-paper-checker-Tool	1	44	<reponame>kithsirij/NLP-based-Syllabus-Coverage-Exam-paper-checker-Tool # -- coding: utf-8 -- # Form implementation generated from reading ui file 'add_subject.ui' # # Created by: PyQt4 UI code generator 4.11.4 # # WARNING! All changes made in this file will be lost! from PyQt4 import QtCore, QtGui try: _fromUtf8 = QtCore.QString.fromUtf8 except AttributeError: def _fromUtf8(s): return s try: _encoding = QtGui.QApplication.UnicodeUTF8 def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig, _encoding) except AttributeError: def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig) class Ui_Dialog_add_subject(object): def setupUi(self, Dialog_add_subject): Dialog_add_subject.setObjectName(_fromUtf8("Dialog_add_subject")) Dialog_add_subject.resize(568, 374) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(10) Dialog_add_subject.setFont(font) Dialog_add_subject.setContextMenuPolicy(QtCore.Qt.CustomContextMenu) icon = QtGui.QIcon() icon.addPixmap(QtGui.QPixmap(_fromUtf8("Qt_interface/SE_syllabus/4zIr6y.jpg")), QtGui.QIcon.Normal, QtGui.QIcon.Off) Dialog_add_subject.setWindowIcon(icon) self.lbl_subject_name = QtGui.QLabel(Dialog_add_subject) self.lbl_subject_name.setGeometry(QtCore.QRect(50, 235, 131, 21)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(12) self.lbl_subject_name.setFont(font) self.lbl_subject_name.setObjectName(_fromUtf8("lbl_subject_name")) self.label_add_subject = QtGui.QLabel(Dialog_add_subject) self.label_add_subject.setGeometry(QtCore.QRect(220, 30, 151, 31)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(14) font.setBold(True) font.setWeight(75) self.label_add_subject.setFont(font) self.label_add_subject.setObjectName(_fromUtf8("label_add_subject")) self.lineEdit_subject_name = QtGui.QLineEdit(Dialog_add_subject) self.lineEdit_subject_name.setGeometry(QtCore.QRect(190, 230, 321, 31)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(12) self.lineEdit_subject_name.setFont(font) self.lineEdit_subject_name.setObjectName(_fromUtf8("lineEdit_subject_name")) self.label_year = QtGui.QLabel(Dialog_add_subject) self.label_year.setGeometry(QtCore.QRect(50, 95, 81, 21)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(12) self.label_year.setFont(font) self.label_year.setObjectName(_fromUtf8("label_year")) self.label_semester = QtGui.QLabel(Dialog_add_subject) self.label_semester.setGeometry(QtCore.QRect(50, 165, 91, 21)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(12) self.label_semester.setFont(font) self.label_semester.setObjectName(_fromUtf8("label_semester")) self.pushButton_save = QtGui.QPushButton(Dialog_add_subject) self.pushButton_save.setGeometry(QtCore.QRect(190, 290, 111, 31)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(10) self.pushButton_save.setFont(font) icon1 = QtGui.QIcon() icon1.addPixmap(QtGui.QPixmap(_fromUtf8("Qt_interface/SE_syllabus/Save-as.png")), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton_save.setIcon(icon1) self.pushButton_save.setIconSize(QtCore.QSize(20, 20)) self.pushButton_save.setObjectName(_fromUtf8("pushButton_save")) self.pushButton_cancel = QtGui.QPushButton(Dialog_add_subject) self.pushButton_cancel.setGeometry(QtCore.QRect(340, 290, 111, 31)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) self.pushButton_cancel.setFont(font) icon2 = QtGui.QIcon() icon2.addPixmap(QtGui.QPixmap(_fromUtf8("Qt_interface/SE_syllabus/if_draw-08_725558.png")), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton_cancel.setIcon(icon2) self.pushButton_cancel.setIconSize(QtCore.QSize(20, 20)) self.pushButton_cancel.setObjectName(_fromUtf8("pushButton_cancel")) self.comboBox_year = QtGui.QComboBox(Dialog_add_subject) self.comboBox_year.setGeometry(QtCore.QRect(190, 91, 111, 31)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(12) self.comboBox_year.setFont(font) self.comboBox_year.setObjectName(_fromUtf8("comboBox_year")) self.comboBox_semester = QtGui.QComboBox(Dialog_add_subject) self.comboBox_semester.setGeometry(QtCore.QRect(190, 160, 111, 31)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(12) self.comboBox_semester.setFont(font) self.comboBox_semester.setObjectName(_fromUtf8("comboBox_semester")) self.retranslateUi(Dialog_add_subject) QtCore.QObject.connect(self.pushButton_cancel, QtCore.SIGNAL(_fromUtf8("clicked()")), self.lineEdit_subject_name.clear) QtCore.QMetaObject.connectSlotsByName(Dialog_add_subject) def retranslateUi(self, Dialog_add_subject): Dialog_add_subject.setWindowTitle(_translate("Dialog_add_subject", "Dialog", None)) self.lbl_subject_name.setText(_translate("Dialog_add_subject", "SUBJECT NAME", None)) self.label_add_subject.setText(_translate("Dialog_add_subject", "ADD SUBJECT", None)) 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opennem/utils/scrapyd.py	paulculmsee/opennem	22	8687	<reponame>paulculmsee/opennem #!/usr/bin/env python """ Srapyd control methods """ import logging from typing import Any, Dict, List from urllib.parse import urljoin from opennem.settings import settings from opennem.utils.http import http from opennem.utils.scrapy import get_spiders logger = logging.getLogger("scrapyd.client") def get_jobs() -> Dict[str, Any]: job_url = urljoin( settings.scrapyd_url, "listjobs.json?project={}".format(settings.scrapyd_project_name), ) jobs = http.get(job_url).json() return jobs def job_cancel(id: str) -> bool: cancel_job_url = urljoin(settings.scrapyd_url, "cancel.json") r = http.post(cancel_job_url, data={"project": "opennem", "job": id}) resp = r.json() if resp["status"] == "error": logger.error("Error: {}".format(resp["message"])) return False logger.info("Cancelled job: {}".format(resp["jobid"])) return True def job_schedule(spider_name: str) -> bool: schedule_url = urljoin(settings.scrapyd_url, "schedule.json") try: r = http.post(schedule_url, data={"project": "opennem", "spider": spider_name}) except Exception as e: logger.error("Error getting {}: {}".format(schedule_url, e)) return False if not r.ok: logger.error("Error: {}".format(r.status_code)) return False resp = r.json() if resp["status"] == "error": logger.error("Error: {}".format(resp["message"])) return False logger.info("Queued spider {} with task: {}".format(spider_name, resp["jobid"])) return True def job_cancel_state(state: str = "pending") -> bool: jobs = get_jobs() if state not in jobs: logger.info("Invalid state or no jobs in state {}".format(state)) return False pending_jobs = jobs[state] for job in pending_jobs: job_id = job["id"] logger.info("Cancelling {}".format(job_id)) job_cancel(job_id) return True def job_schedule_all(matches: str = None) -> List[str]: spiders = get_spiders() spider_scheduled = [] for s in spiders: if matches and matches != s: continue job_schedule(s) spider_scheduled.append(s) return spider_scheduled	[ 1, 529, 276, 1112, 420, 29958, 3274, 352, 1810, 29885, 4149, 29914, 459, 2108, 331, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 13, 15945, 29908, 13, 29903, 336, 2272, 29881, 2761, 3519, 13, 13, 15945, 29908, 13, 5215, 12183, 13, 3166, 19229, 1053, 3139, 29892, 360, 919, 29892, 2391, 13, 3166, 3142, 1982, 29889, 5510, 1053, 3142, 7122, 13, 13, 3166, 1722, 15344, 29889, 11027, 1053, 6055, 13, 3166, 1722, 15344, 29889, 13239, 29889, 1124, 1053, 1732, 13, 3166, 1722, 15344, 29889, 13239, 29889, 1557, 336, 2272, 1053, 679, 29918, 1028, 11376, 13, 13, 21707, 353, 12183, 29889, 657, 16363, 703, 1557, 336, 2272, 29881, 29889, 4645, 1159, 13, 13, 13, 1753, 679, 29918, 9057, 29879, 580, 1599, 360, 919, 29961, 710, 29892, 3139, 5387, 13, 1678, 4982, 29918, 2271, 353, 3142, 7122, 29898, 13, 4706, 6055, 29889, 1557, 336, 2272, 29881, 29918, 2271, 29892, 13, 4706, 376, 1761, 9057, 29879, 29889, 3126, 29973, 4836, 3790, 29913, 1642, 4830, 29898, 11027, 29889, 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WordRPG/systems/character/slot.py	ChristopherLBruce/WordRPG	2	114664	<reponame>ChristopherLBruce/WordRPG class Slot: def __init__(name, _type=None, item=None): self.name = name, if _type is not None: self.type = _type else: self.type = name self.item = item, def equip(self): pass def unequip(self): pass def show(self): pass	[ 1, 529, 276, 1112, 420, 29958, 18687, 13434, 29931, 29933, 582, 346, 29914, 14463, 29934, 16903, 13, 1990, 317, 8276, 29901, 13, 1678, 822, 4770, 2344, 12035, 978, 29892, 903, 1853, 29922, 8516, 29892, 2944, 29922, 8516, 1125, 13, 4706, 1583, 29889, 978, 353, 1024, 29892, 13, 308, 13, 4706, 565, 903, 1853, 338, 451, 6213, 29901, 13, 9651, 1583, 29889, 1853, 353, 903, 1853, 13, 4706, 1683, 29901, 13, 9651, 1583, 29889, 1853, 353, 1024, 13, 13, 4706, 1583, 29889, 667, 353, 2944, 29892, 13, 268, 13, 13, 1678, 822, 7462, 29898, 1311, 1125, 13, 4706, 1209, 13, 13, 13, 1678, 822, 1597, 14254, 29898, 1311, 1125, 13, 4706, 1209, 13, 13, 13, 1678, 822, 1510, 29898, 1311, 1125, 13, 4706, 1209, 13, 2 ]
config_manager.py	jbytes1027/notify-mirror	0	31569	import pathlib import configparser class ConfigManager: DEFAULT_CONFIG_PATH = "~/.config/notify-sync.ini" SETTING_NOTIFICATION_ICON = "icon" SETTING_NOTIFICATION_TIMEOUT = "timeout" # in ms # SETTING_NOTIFICATION_URGENCY = "urgency" # 0,1,2 low, avg, urgent SETTING_NOTIFICATION_EXEC = "exec_on_click" def __init__(self, config_path=DEFAULT_CONFIG_PATH): self.config_path = config_path self.config = configparser.ConfigParser() path = pathlib.PosixPath(self.config_path).expanduser() if path.exists(): # read config file with open(path, "r") as config_file: self.config.read_file(config_file) else: if not path.parent.exists(): # create config dir path.parent.mkdir(parents=True) # set default settings self.config["GENERAL"] = { "api_key": "", "notify_on_error": "no", "notify_on_connection_changed": "no", } self.config["DEFAULT NOTIFICATION"] = { "icon": "given", "timeout": "default", # "urgency": "default", "exec_on_click": "", } # create config file with open(path, "w") as config_file: self.config.write(config_file) def get_notification_setting(self, android_notification, setting): if ( android_notification.package in self.config and setting in self.config[android_notification.package] ): return self.config[android_notification.package][setting] else: return self.config["DEFAULT NOTIFICATION"][setting] def get_api_key(self): return self.config["GENERAL"]["api_key"]	[ 1, 1053, 2224, 1982, 13, 5215, 2295, 16680, 13, 13, 13, 1990, 12782, 3260, 29901, 13, 1678, 22236, 29918, 25903, 29918, 10145, 353, 376, 30022, 6294, 2917, 29914, 25140, 29899, 16593, 29889, 2172, 29908, 13, 1678, 11368, 29911, 4214, 29918, 12256, 6545, 28541, 29918, 2965, 1164, 353, 376, 4144, 29908, 13, 1678, 11368, 29911, 4214, 29918, 12256, 6545, 28541, 29918, 15307, 12015, 353, 376, 15619, 29908, 29871, 396, 297, 10887, 13, 1678, 396, 11368, 29911, 4214, 29918, 12256, 6545, 28541, 29918, 4574, 24647, 29907, 29979, 353, 376, 332, 14703, 29908, 29871, 396, 29871, 29900, 29892, 29896, 29892, 29906, 259, 4482, 29892, 1029, 29887, 29892, 5065, 5362, 13, 1678, 11368, 29911, 4214, 29918, 12256, 6545, 28541, 29918, 5746, 11206, 353, 376, 4258, 29918, 265, 29918, 3808, 29908, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 2295, 29918, 2084, 29922, 23397, 29918, 25903, 29918, 10145, 1125, 13, 4706, 1583, 29889, 2917, 29918, 2084, 353, 2295, 29918, 2084, 13, 4706, 1583, 29889, 2917, 353, 2295, 16680, 29889, 3991, 11726, 580, 13, 13, 4706, 2224, 353, 2224, 1982, 29889, 9135, 861, 2605, 29898, 1311, 29889, 2917, 29918, 2084, 467, 18837, 1792, 580, 13, 13, 4706, 565, 2224, 29889, 9933, 7295, 13, 9651, 396, 1303, 2295, 934, 13, 9651, 411, 1722, 29898, 2084, 29892, 376, 29878, 1159, 408, 2295, 29918, 1445, 29901, 13, 18884, 1583, 29889, 2917, 29889, 949, 29918, 1445, 29898, 2917, 29918, 1445, 29897, 13, 4706, 1683, 29901, 13, 9651, 565, 451, 2224, 29889, 3560, 29889, 9933, 7295, 13, 18884, 396, 1653, 2295, 4516, 13, 18884, 2224, 29889, 3560, 29889, 11256, 3972, 29898, 862, 1237, 29922, 5574, 29897, 13, 13, 9651, 396, 731, 2322, 6055, 13, 9651, 1583, 29889, 2917, 3366, 24647, 1001, 1964, 3108, 353, 426, 13, 18884, 376, 2754, 29918, 1989, 1115, 12633, 13, 18884, 376, 25140, 29918, 265, 29918, 2704, 1115, 376, 1217, 613, 13, 18884, 376, 25140, 29918, 265, 29918, 9965, 29918, 15033, 1115, 376, 1217, 613, 13, 9651, 500, 13, 13, 9651, 1583, 29889, 2917, 3366, 23397, 6058, 6545, 28541, 3108, 353, 426, 13, 18884, 376, 4144, 1115, 376, 29887, 5428, 613, 13, 18884, 376, 15619, 1115, 376, 4381, 613, 13, 18884, 396, 376, 332, 14703, 1115, 376, 4381, 613, 13, 18884, 376, 4258, 29918, 265, 29918, 3808, 1115, 12633, 13, 9651, 500, 13, 13, 9651, 396, 1653, 2295, 934, 13, 9651, 411, 1722, 29898, 2084, 29892, 376, 29893, 1159, 408, 2295, 29918, 1445, 29901, 13, 18884, 1583, 29889, 2917, 29889, 3539, 29898, 2917, 29918, 1445, 29897, 13, 13, 1678, 822, 679, 29918, 24671, 29918, 26740, 29898, 1311, 29892, 1442, 29918, 24671, 29892, 4444, 1125, 13, 4706, 565, 313, 13, 9651, 1442, 29918, 24671, 29889, 5113, 297, 1583, 29889, 2917, 13, 9651, 322, 4444, 297, 1583, 29889, 2917, 29961, 2843, 29918, 24671, 29889, 5113, 29962, 13, 308, 1125, 13, 9651, 736, 1583, 29889, 2917, 29961, 2843, 29918, 24671, 29889, 5113, 3816, 26740, 29962, 13, 4706, 1683, 29901, 13, 9651, 736, 1583, 29889, 2917, 3366, 23397, 6058, 6545, 28541, 3108, 29961, 26740, 29962, 13, 13, 1678, 822, 679, 29918, 2754, 29918, 1989, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 2917, 3366, 24647, 1001, 1964, 3108, 3366, 2754, 29918, 1989, 3108, 13, 2 ]
doc/source/code/tut3.py	FernandoSBorges/netpyne	0	1609171	from netpyne import specs, sim # Network parameters netParams = specs.NetParams() # object of class NetParams to store the network parameters ## Cell types PYRcell = {'secs': {}} PYRcell['secs']['soma'] = {'geom': {}, 'mechs': {}} PYRcell['secs']['soma']['geom'] = {'diam': 18.8, 'L': 18.8, 'Ra': 123.0} PYRcell['secs']['soma']['mechs']['hh'] = {'gnabar': 0.12, 'gkbar': 0.036, 'gl': 0.003, 'el': -70} PYRcell['secs']['dend'] = {'geom': {}, 'topol': {}, 'mechs': {}} PYRcell['secs']['dend']['geom'] = {'diam': 5.0, 'L': 150.0, 'Ra': 150.0, 'cm': 1} PYRcell['secs']['dend']['topol'] = {'parentSec': 'soma', 'parentX': 1.0, 'childX': 0} PYRcell['secs']['dend']['mechs']['pas'] = {'g': 0.0000357, 'e': -70} netParams.cellParams['PYR'] = PYRcell ## Population parameters netParams.popParams['S'] = {'cellType': 'PYR', 'numCells': 20} netParams.popParams['M'] = {'cellType': 'PYR', 'numCells': 20} ## Synaptic mechanism parameters netParams.synMechParams['exc'] = {'mod': 'Exp2Syn', 'tau1': 1.0, 'tau2': 5.0, 'e': 0} # excitatory synaptic mechanism # Stimulation parameters netParams.stimSourceParams['bkg'] = {'type': 'NetStim', 'rate': 10, 'noise': 0.5} netParams.stimTargetParams['bkg->PYR'] = {'source': 'bkg', 'conds': {'cellType': 'PYR'}, 'weight': 0.01, 'delay': 5, 'synMech': 'exc'} ## Cell connectivity rules netParams.connParams['S->M'] = {'preConds': {'pop': 'S'}, 'postConds': {'pop': 'M'}, # S -> M 'probability': 0.5, # probability of connection 'weight': 0.01, # synaptic weight 'delay': 5, # transmission delay (ms) 'sec': 'dend', # section to connect to 'loc': 1.0, # location of synapse 'synMech': 'exc'} # target synaptic mechanism # Simulation options simConfig = specs.SimConfig() # object of class SimConfig to store simulation configuration simConfig.duration = 1*1e3 # Duration of the simulation, in ms simConfig.dt = 0.025 # Internal integration timestep to use simConfig.verbose = False # Show detailed messages simConfig.recordTraces = {'V_soma':{'sec':'soma','loc':0.5,'var':'v'}} # Dict with traces to record simConfig.recordStep = 1 # Step size in ms to save data (eg. V traces, LFP, etc) simConfig.filename = 'tut3' # Set file output name simConfig.savePickle = False # Save params, network and sim output to pickle file simConfig.analysis['plotRaster'] = {'saveFig': True} # Plot a raster simConfig.analysis['plotTraces'] = {'include': [1], 'saveFig': True} # Plot recorded traces for this list of cells simConfig.analysis['plot2Dnet'] = {'saveFig': True} # plot 2D cell positions and connections # Create network and run simulation sim.createSimulateAnalyze(netParams = netParams, simConfig = simConfig) # import pylab; pylab.show() # this line is only necessary in certain systems where figures appear empty # check model output sim.checkOutput('tut3')	[ 1, 515, 7787, 2272, 484, 1053, 1580, 29879, 29892, 1027, 13, 13, 29937, 8527, 4128, 13, 1212, 9629, 353, 1580, 29879, 29889, 6779, 9629, 580, 29871, 396, 1203, 310, 770, 12670, 9629, 304, 3787, 278, 3564, 4128, 13, 13, 13, 2277, 19413, 4072, 13, 20055, 29934, 3729, 353, 11117, 344, 2395, 2396, 426, 930, 13, 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setup.py	andrewdodd/docopt_uc	6	91929	#!/usr/bin/env python # -- coding: utf-8 -- from setuptools import setup, find_packages setup( name="docopt-uc", description="A docopt library suitable for microcontrollers.", license="MIT", version="1.0.2", author="<NAME>", author_email="<EMAIL>", maintainer="<NAME>", maintainer_email="<EMAIL>", keywords=["docopt", "microcontroller", "cli"], packages=find_packages(where="src"), package_dir={"": "src"}, package_data={'docopt_uc': ['templates/.c', 'templates/.h']}, zip_safe=False, classifiers=[ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", ], install_requires=["docopt", "jinja2"], entry_points={'console_scripts': [ 'docopt-uc = docopt_uc.docopt_uc:main', ]})	[ 1, 18787, 4855, 29914, 2109, 29914, 6272, 3017, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 13, 3166, 731, 21245, 8789, 1053, 6230, 29892, 1284, 29918, 8318, 13, 13, 14669, 29898, 13, 1678, 1024, 543, 1514, 3670, 29899, 1682, 613, 13, 1678, 6139, 543, 29909, 437, 1111, 415, 3489, 13907, 363, 9200, 1285, 11897, 19602, 13, 1678, 19405, 543, 26349, 613, 13, 1678, 1873, 543, 29896, 29889, 29900, 29889, 29906, 613, 13, 1678, 4148, 543, 29966, 5813, 28341, 13, 1678, 4148, 29918, 5269, 543, 29966, 26862, 6227, 28341, 13, 1678, 7344, 261, 543, 29966, 5813, 28341, 13, 1678, 7344, 261, 29918, 5269, 543, 29966, 26862, 6227, 28341, 13, 1678, 29361, 29922, 3366, 1514, 3670, 613, 376, 29885, 2357, 8299, 613, 376, 11303, 12436, 13, 1678, 9741, 29922, 2886, 29918, 8318, 29898, 3062, 543, 4351, 4968, 13, 1678, 3577, 29918, 3972, 3790, 29908, 1115, 376, 4351, 10758, 13, 1678, 3577, 29918, 1272, 3790, 29915, 1514, 3670, 29918, 1682, 2396, 6024, 20943, 5515, 29889, 29883, 742, 525, 20943, 5515, 29889, 29882, 2033, 1118, 13, 1678, 14319, 29918, 11177, 29922, 8824, 29892, 13, 1678, 770, 14903, 11759, 13, 4706, 376, 21956, 358, 16034, 4761, 29871, 29941, 448, 838, 2026, 613, 13, 4706, 376, 2928, 2760, 319, 4749, 663, 4761, 10682, 414, 613, 13, 4706, 376, 29931, 293, 1947, 4761, 438, 5425, 28268, 1490, 4761, 341, 1806, 19245, 613, 13, 4706, 376, 29940, 18771, 17088, 4761, 4223, 613, 13, 4706, 376, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 613, 13, 4706, 376, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 29889, 29941, 613, 13, 4706, 376, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 29889, 29946, 613, 13, 4706, 376, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 29889, 29945, 613, 13, 4706, 376, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 29889, 29953, 613, 13, 1678, 21251, 13, 1678, 2601, 29918, 276, 339, 2658, 29922, 3366, 1514, 3670, 613, 376, 28789, 1764, 29906, 12436, 13, 1678, 6251, 29918, 9748, 3790, 29915, 11058, 29918, 16713, 2396, 518, 13, 4706, 525, 1514, 3670, 29899, 1682, 353, 437, 1111, 415, 29918, 1682, 29889, 1514, 3670, 29918, 1682, 29901, 3396, 742, 13, 1678, 4514, 1800, 13, 2 ]
source/_sample/networkx/drawing_tree.py	showa-yojyo/notebook	14	93905	<reponame>showa-yojyo/notebook #!/usr/bin/env python """drawing_tree.py: draw a tree graph with pydot_layout. """ import colorsys import networkx as nx import matplotlib.pyplot as plt # A tree graph is given. branching = 2 height = 5 G = nx.balanced_tree(branching, height) #pos = nx.spring_layout(G) # default; bad #pos = nx.shell_layout(G) # bad #pos = nx.spectral_layout(G) # poor pos = nx.nx_pydot.pydot_layout(G, prog='dot') # good # Node colors. ncolors = [] height += 1 for i in range(height): ncolors.extend( [colorsys.hsv_to_rgb(i / height, 1.0, 1.0)] * branching ** i) nx.draw_networkx(G, pos, node_color=ncolors) #plt.axes().set_aspect('equal', 'datalim') plt.axis('off') plt.show()	[ 1, 529, 276, 1112, 420, 29958, 4294, 29874, 29899, 29891, 3848, 9029, 29914, 1333, 19273, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 13, 15945, 29908, 4012, 292, 29918, 8336, 29889, 2272, 29901, 4216, 263, 5447, 3983, 411, 282, 2941, 327, 29918, 2680, 29889, 13, 15945, 29908, 13, 5215, 11955, 952, 13, 13, 5215, 3564, 29916, 408, 302, 29916, 13, 5215, 22889, 29889, 2272, 5317, 408, 14770, 13, 13, 29937, 319, 5447, 3983, 338, 2183, 29889, 13, 17519, 292, 353, 29871, 29906, 13, 3545, 353, 29871, 29945, 13, 29954, 353, 302, 29916, 29889, 5521, 8362, 29918, 8336, 29898, 17519, 292, 29892, 3171, 29897, 13, 13, 29937, 1066, 353, 302, 29916, 29889, 4278, 29918, 2680, 29898, 29954, 29897, 396, 2322, 29936, 4319, 13, 29937, 1066, 353, 302, 29916, 29889, 15903, 29918, 2680, 29898, 29954, 29897, 396, 4319, 13, 29937, 1066, 353, 302, 29916, 29889, 21494, 1705, 29918, 2680, 29898, 29954, 29897, 396, 6460, 13, 1066, 353, 302, 29916, 29889, 23818, 29918, 2272, 6333, 29889, 2272, 6333, 29918, 2680, 29898, 29954, 29892, 410, 29887, 2433, 6333, 1495, 396, 1781, 13, 13, 29937, 9071, 11955, 29889, 13, 29876, 27703, 353, 5159, 13, 3545, 4619, 29871, 29896, 13, 1454, 474, 297, 3464, 29898, 3545, 1125, 13, 1678, 302, 27703, 29889, 21843, 29898, 13, 4706, 518, 27703, 952, 29889, 29882, 4501, 29918, 517, 29918, 23973, 29898, 29875, 847, 3171, 29892, 29871, 29896, 29889, 29900, 29892, 29871, 29896, 29889, 29900, 4638, 334, 5443, 292, 3579, 474, 29897, 13, 13, 23818, 29889, 4012, 29918, 11618, 29916, 29898, 29954, 29892, 926, 29892, 2943, 29918, 2780, 29922, 29876, 27703, 29897, 13, 13, 29937, 572, 29873, 29889, 1165, 267, 2141, 842, 29918, 294, 1103, 877, 11745, 742, 525, 29881, 2075, 326, 1495, 13, 572, 29873, 29889, 8990, 877, 2696, 1495, 13, 572, 29873, 29889, 4294, 580, 13, 2 ]
tracker/urls.py	sansaralab/shiva-dropped	0	159326	from django.conf.urls import url from .views import tracker_serve, track, attach_contact, send_event, attach_data urlpatterns = [ url(r'shiva.js$', tracker_serve), url(r'track$', track), url(r'attach$', attach_contact), url(r'data$', attach_data), url(r'event$', send_event), ]	[ 1, 515, 9557, 29889, 5527, 29889, 26045, 1053, 3142, 13, 3166, 869, 7406, 1053, 1020, 4937, 29918, 16349, 29892, 5702, 29892, 10641, 29918, 12346, 29892, 3638, 29918, 3696, 29892, 10641, 29918, 1272, 13, 13, 13, 2271, 11037, 29879, 353, 518, 13, 1678, 3142, 29898, 29878, 29915, 845, 4244, 29889, 1315, 29938, 742, 1020, 4937, 29918, 16349, 511, 13, 1678, 3142, 29898, 29878, 29915, 11294, 29938, 742, 5702, 511, 13, 1678, 3142, 29898, 29878, 29915, 14930, 29938, 742, 10641, 29918, 12346, 511, 13, 1678, 3142, 29898, 29878, 29915, 1272, 29938, 742, 10641, 29918, 1272, 511, 13, 1678, 3142, 29898, 29878, 29915, 3696, 29938, 742, 3638, 29918, 3696, 511, 13, 29962, 13, 2 ]
old/SimpleElectroSim/python/electro_sim.py	0xDBFB7/Nyion	0	196110	<filename>old/SimpleElectroSim/python/electro_sim.py #imports from shapely.geometry import Point import numpy as np import random import math from decimal import * from time import sleep import copy try: from OpenGL.GL import * from OpenGL.GLU import * from OpenGL.GLUT import * except: print "OpenGL wrapper for python not found" from stl import mesh #The grid is m^2. Force is in newtons. Charge is Coloumbs. data_file = open("data.csv","w+") #display values timestep = 0.0000001 pixel_size = 10 pixel_spacing = 20 grid_width = 1000 rotation_x_speed = 0 rotation_y_speed = 10 rotation_y = 0 rotation_x = 0 #Physical constants k_constant = 8990000000.0 electron_charge = 0.000000000000016021766 electron_mass = 0.0000000000000000000000000016726218 aluminum_mass = 0.00000000000000000000000004483263 time = 0 particles = [] glutInit(); glutInitDisplayMode(GLUT_DOUBLE \| GLUT_RGB \| GLUT_DEPTH); glEnable(GL_MULTISAMPLE); glutInitWindowSize(1920, 1080); glutCreateWindow("Solver"); glViewport(0, 0, 1920, 1080); glClearColor(1.0, 1.0, 1.0, 1.0); glClearDepth(1.0); glEnable(GL_DEPTH_TEST); glDepthFunc(GL_LEQUAL); glShadeModel(GL_SMOOTH); glHint(GL_PERSPECTIVE_CORRECTION_HINT, GL_NICEST); glClear(GL_COLOR_BUFFER_BIT \| GL_DEPTH_BUFFER_BIT); glMatrixMode(GL_PROJECTION); glLoadIdentity(); gluPerspective(60, (1920.0/1080.0), 1, 3000); glMatrixMode(GL_MODELVIEW); glLoadIdentity(); glTranslatef(0,0,0); glRotatef(0, 45, 0.1, 0); glRotatef(0, 0, 45, 0); glTranslatef(-grid_width/2,-grid_width/2, -2000); def vector(a): if(a > 0): return 1.0 else: return -1.0 def draw_square(x,y,z,color): glPushMatrix(); glTranslatef(x,y,z); glColor3f(color[0],color[1],color[2]); glutSolidCube(pixel_size); glPopMatrix(); def draw_sphere(x,y,z,color): glPushMatrix(); glTranslatef(x,y,z); glColor3f(color[0],color[1],color[2]); glutSolidSphere(pixel_size/2.0,10,10); glPopMatrix(); glutSwapBuffers(); glClear(GL_COLOR_BUFFER_BIT \| GL_DEPTH_BUFFER_BIT); glutSwapBuffers(); glClear(GL_COLOR_BUFFER_BIT \| GL_DEPTH_BUFFER_BIT); ############################################DEFINE THE SIM######################################### def particle_circle(center=(0, 0, 0), charge=electron_charge,r=1, n=10,velocity=132620500, fixed=False): global particles for i in [ ( center[0]+(math.cos(2 * math.pi / n * x) * r), # x center[1] + (math.sin(2 * math.pi / n * x) * r) # y ) for x in xrange(0, n + 1)]: particles.append({"charge": 1.0charge, "mass": electron_mass, "position": [i[0],center[2],i[1]], "velocity": [0,velocity,0], "constrain": [[],[],[]],"color":[0,0,0], "fixed": fixed}) def charged_plate(position=(5.0, 10, 0.001), size=(2,5,5), n=50, charge=(1/2000000.0),velocity=1000): global particles for i in range(0,n): particles.append({"charge": charge/n, "mass": electron_mass, "position": [random.uniform(position[0],position[0]+size[0]),random.uniform(position[1],position[1]+size[1]),\ random.uniform(position[2],position[2]+size[2])], "velocity": [velocity,velocity,0], "fixed": True,"constrain": [],"color":[100,0,0]}) def charged_plate_with_hole(position=(5.0, 10, 0.001), size=(2,5,5), n=50, charge=(1/2000000.0),velocity=1000): global particles for i in range(0,n): particles.append({"charge": charge/n, "mass": electron_mass, "position": [random.uniform(position[0],position[0]+size[0]),random.uniform(position[1],position[1]+size[1]),\ random.uniform(position[2],position[2]+size[2])], "velocity": [velocity,velocity,0], "fixed": True,"constrain": [],"color":[100,0,0]}) # anode = mesh.Mesh.from_file('anode.stl') # # def charged_mesh(input_mesh, charge=(1/2000000.0), n=0,velocity=1000): # global particles # prev_point = input_mesh.points[0] # print(len(input_mesh.points)) # print(input_mesh.points.flatten(-1)) # for point in input_mesh.points: # for i in np.arange(0,point[0],n/len(input_mesh.points)): # particles.append({"charge": charge/n, "mass": electron_mass, "position": [point[0]-prev_point[0],point[1],point[2]], "velocity": [velocity,velocity,0], "fixed": True,"constrain": [],"color":[100,0,0]}) # prev_point = point particle_circle(velocity=1326000) particle_circle(r=5,velocity=1326000) # charged_mesh(anode) for i in np.arange(10,30): particle_circle(center=(0,0,i), r=10,fixed=True,charge=electron_charge) for i in np.arange(40,60): particle_circle(center=(0,0,i), r=10,fixed=True,charge=-electron_charge) for i in np.arange(70,90): particle_circle(center=(0,0,i), r=10,fixed=True,charge=electron_charge) # charged_plate() print(particles) sleep(3) # # particles = [{"charge": 1.0electron_charge, "mass": electron_mass, "position": [10,1,0], "velocity": [0,0,0]}, # {"charge": 1.0electron_charge, "mass": electron_mass, "position": [15,1,0], "velocity": [0,0,0]}, # {"charge": 1.0electron_charge, "mass": electron_mass, "position": [50.3,53,0.3], "velocity": [0,0,0]}, # {"charge": 1.0electron_charge, "mass": electron_mass, "position": [50.4,54,0.4], "velocity": [-100,0,0]}] ############################################DEFINE THE SIM######################################### while True: # glTranslatef(0,0,2000); # glRotatef(rotation_y, 0, 0.1, 0); # glRotatef(45, 0.1, 0, 0); # glTranslatef(-grid_width/2,-grid_width/2, -2000); glClear(GL_COLOR_BUFFER_BIT \| GL_DEPTH_BUFFER_BIT); rotation_y = rotation_y_speedtime print("Time: {}".format(time)) frozen_state = copy.deepcopy(particles) for p1_index,particle in enumerate(frozen_state): if not particle["fixed"]: force_x = 0 force_y = 0 force_z = 0 for second_particle in [x for i,x in enumerate(frozen_state) if i!=p1_index]: magnitude = (k_constantparticle['charge']second_particle['charge']); distance_x = (particle["position"][0]-second_particle["position"][0]) distance_y = (particle["position"][1]-second_particle["position"][1]) distance_z = (particle["position"][2]-second_particle["position"][2]) distance = math.sqrt(distance_x2.0+distance_y2.0+distance_z2.0) e_force = (magnitude/((distance)2.0)); force_x += e_force(distance_x/distance) force_y += e_force(distance_y/distance) force_z += e_force(distance_z/distance) print("Distance: {}".format(math.sqrt(distance_x2.0+distance_y2.0+distance_z2.0))) accel_x = force_x/particle['mass'] accel_y = force_y/particle['mass'] accel_z = force_z/particle['mass'] particles[p1_index]["velocity"][0] += accel_xtimestep; particles[p1_index]["velocity"][1] += accel_ytimestep; particles[p1_index]["velocity"][2] += accel_ztimestep; particles[p1_index]["position"][0] += particles[p1_index]["velocity"][0]timestep particles[p1_index]["position"][1] += particles[p1_index]["velocity"][1]timestep particles[p1_index]["position"][2] += particles[p1_index]["velocity"][2]timestep print("-"20) print("Particle: {} X: {} Y: {} Z: {}".format(p1_index,frozen_state[p1_index]["position"][0],frozen_state[p1_index]["position"][1],frozen_state[p1_index]["position"][2])) print("Velocity: X: {} Y: {} Z: {}".format(particles[p1_index]["velocity"][0],particles[p1_index]["velocity"][1],particles[p1_index]["velocity"][2])) print("Acceleration: X: {} Y: {} Z: {}".format(accel_x,accel_y,accel_z)) print("Force: X: {} Y: {} Z: {}".format(force_x,force_y,force_z)) # data_file.write("{},{},{},{},{},{},{},{},{},{},\n".format(particles[p1_index]["position"][0],particles[p1_index]["position"][1],particles[p1_index]["position"][2])) print("-"20) draw_sphere(particles[p1_index]["position"][0]pixel_spacing,particles[p1_index]["position"][1]pixel_spacing,particles[p1_index]["position"][2]pixel_spacing,particles[p1_index]["color"]) print("Frame complete") print("#"*20) glutSwapBuffers(); time += timestep sleep(0.01)	[ 1, 529, 9507, 29958, 1025, 29914, 15427, 29923, 781, 307, 8942, 29914, 4691, 29914, 15436, 307, 29918, 3601, 29889, 2272, 13, 29937, 326, 4011, 13, 3166, 528, 481, 873, 29889, 19156, 1053, 8984, 13, 5215, 12655, 408, 7442, 13, 5215, 4036, 13, 5215, 5844, 13, 3166, 13677, 1053, 334, 13, 3166, 931, 1053, 8709, 13, 5215, 3509, 13, 2202, 29901, 13, 1678, 515, 29508, 29889, 7239, 1053, 334, 13, 1678, 515, 29508, 29889, 7239, 29965, 1053, 334, 13, 1678, 515, 29508, 29889, 7239, 2692, 1053, 334, 13, 19499, 29901, 13, 1678, 1596, 376, 6585, 7239, 14476, 363, 3017, 451, 1476, 29908, 13, 3166, 380, 29880, 1053, 27716, 13, 13, 29937, 1576, 6856, 338, 286, 29985, 29906, 29889, 11004, 338, 297, 716, 7453, 29889, 2896, 479, 338, 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Aeneas/aeneas/aeneas/synthesizer.py	yalhaizaey/Dreich	25	110783	#!/usr/bin/env python # coding=utf-8 # aeneas is a Python/C library and a set of tools # to automagically synchronize audio and text (aka forced alignment) # # Copyright (C) 2012-2013, <NAME> (www.albertopettarin.it) # Copyright (C) 2013-2015, ReadBeyond Srl (www.readbeyond.it) # Copyright (C) 2015-2017, <NAME> (www.albertopettarin.it) # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU Affero General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Affero General Public License for more details. # # You should have received a copy of the GNU Affero General Public License # along with this program. If not, see <http://www.gnu.org/licenses/>. """ This module contains the following classes: * :class:`~aeneas.synthesizer.Synthesizer`, for synthesizing text fragments into an audio file, along with the corresponding time anchors. .. warning:: This module might be refactored in a future version """ from __future__ import absolute_import from __future__ import print_function from aeneas.logger import Loggable from aeneas.runtimeconfiguration import RuntimeConfiguration from aeneas.textfile import TextFile from aeneas.ttswrappers.awsttswrapper import AWSTTSWrapper from aeneas.ttswrappers.espeakngttswrapper import ESPEAKNGTTSWrapper from aeneas.ttswrappers.espeakttswrapper import ESPEAKTTSWrapper from aeneas.ttswrappers.festivalttswrapper import FESTIVALTTSWrapper from aeneas.ttswrappers.macosttswrapper import MacOSTTSWrapper from aeneas.ttswrappers.nuancettswrapper import NuanceTTSWrapper import aeneas.globalfunctions as gf class Synthesizer(Loggable): """ A class to synthesize text fragments into an audio file, along with the corresponding time anchors. :param rconf: a runtime configuration :type rconf: :class:`~aeneas.runtimeconfiguration.RuntimeConfiguration` :param logger: the logger object :type logger: :class:`~aeneas.logger.Logger` :raises: OSError: if a custom TTS engine is requested but it cannot be loaded :raises: ImportError: if the AWS Polly TTS API wrapper is requested but the ``boto3`` module is not installed, or if the Nuance TTS API wrapper is requested but the``requests`` module is not installed """ AWS = "aws" """ Select AWS Polly TTS API wrapper """ CUSTOM = "custom" """ Select custom TTS engine wrapper """ ESPEAK = "espeak" """ Select eSpeak wrapper """ ESPEAKNG = "espeak-ng" """ Select eSpeak-ng wrapper """ FESTIVAL = "festival" """ Select Festival wrapper """ MACOS = "macos" """ Select macOS "say" wrapper """ NUANCE = "nuance" """ Select Nuance TTS API wrapper """ ALLOWED_VALUES = [AWS, CUSTOM, ESPEAK, ESPEAKNG, FESTIVAL, MACOS, NUANCE] """ List of all the allowed values """ TAG = u"Synthesizer" def __init__(self, rconf=None, logger=None): super(Synthesizer, self).__init__(rconf=rconf, logger=logger) self.tts_engine = None self._select_tts_engine() def _select_tts_engine(self): """ Select the TTS engine to be used by looking at the rconf object. """ self.log(u"Selecting TTS engine...") requested_tts_engine = self.rconf[RuntimeConfiguration.TTS] if requested_tts_engine == self.CUSTOM: self.log(u"TTS engine: custom") tts_path = self.rconf[RuntimeConfiguration.TTS_PATH] if tts_path is None: self.log_exc(u"You must specify a value for tts_path", None, True, ValueError) if not gf.file_can_be_read(tts_path): self.log_exc(u"Cannot read tts_path", None, True, OSError) try: import imp self.log([u"Loading CustomTTSWrapper module from '%s'...", tts_path]) imp.load_source("CustomTTSWrapperModule", tts_path) self.log([u"Loading CustomTTSWrapper module from '%s'... done", tts_path]) self.log(u"Importing CustomTTSWrapper...") from CustomTTSWrapperModule import CustomTTSWrapper self.log(u"Importing CustomTTSWrapper... done") self.log(u"Creating CustomTTSWrapper instance...") self.tts_engine = CustomTTSWrapper(rconf=self.rconf, logger=self.logger) self.log(u"Creating CustomTTSWrapper instance... done") except Exception as exc: self.log_exc(u"Unable to load custom TTS wrapper", exc, True, OSError) elif requested_tts_engine == self.AWS: try: import boto3 except ImportError as exc: self.log_exc(u"Unable to import boto3 for AWS Polly TTS API wrapper", exc, True, ImportError) self.log(u"TTS engine: AWS Polly TTS API") self.tts_engine = AWSTTSWrapper(rconf=self.rconf, logger=self.logger) elif requested_tts_engine == self.NUANCE: try: import requests except ImportError as exc: self.log_exc(u"Unable to import requests for Nuance TTS API wrapper", exc, True, ImportError) self.log(u"TTS engine: Nuance TTS API") self.tts_engine = NuanceTTSWrapper(rconf=self.rconf, logger=self.logger) elif requested_tts_engine == self.ESPEAKNG: self.log(u"TTS engine: eSpeak-ng") self.tts_engine = ESPEAKNGTTSWrapper(rconf=self.rconf, logger=self.logger) elif requested_tts_engine == self.FESTIVAL: self.log(u"TTS engine: Festival") self.tts_engine = FESTIVALTTSWrapper(rconf=self.rconf, logger=self.logger) elif requested_tts_engine == self.MACOS: self.log(u"TTS engine: macOS") self.tts_engine = MacOSTTSWrapper(rconf=self.rconf, logger=self.logger) else: self.log(u"TTS engine: eSpeak") self.tts_engine = ESPEAKTTSWrapper(rconf=self.rconf, logger=self.logger) self.log(u"Selecting TTS engine... done") @property def output_audio_format(self): """ Return a tuple ``(codec, channels, rate)`` specifying the audio format generated by the actual TTS engine. :rtype: tuple """ if self.tts_engine is not None: return self.tts_engine.OUTPUT_AUDIO_FORMAT return None def clear_cache(self): """ Clear the TTS cache, removing all cache files from disk. .. versionadded:: 1.6.0 """ if self.tts_engine is not None: self.tts_engine.clear_cache() def synthesize( self, text_file, audio_file_path, quit_after=None, backwards=False ): """ Synthesize the text contained in the given fragment list into a ``wav`` file. Return a tuple ``(anchors, total_time, num_chars)``. :param text_file: the text file to be synthesized :type text_file: :class:`~aeneas.textfile.TextFile` :param string audio_file_path: the path to the output audio file :param float quit_after: stop synthesizing as soon as reaching this many seconds :param bool backwards: if ``True``, synthesizing from the end of the text file :rtype: tuple :raises: TypeError: if ``text_file`` is ``None`` or not an instance of ``TextFile`` :raises: OSError: if ``audio_file_path`` cannot be written :raises: OSError: if ``tts=custom`` in the RuntimeConfiguration and ``tts_path`` cannot be read :raises: ValueError: if the TTS engine has not been set yet """ if text_file is None: self.log_exc(u"text_file is None", None, True, TypeError) if not isinstance(text_file, TextFile): self.log_exc(u"text_file is not an instance of TextFile", None, True, TypeError) if not gf.file_can_be_written(audio_file_path): self.log_exc(u"Audio file path '%s' cannot be written" % (audio_file_path), None, True, OSError) if self.tts_engine is None: self.log_exc(u"Cannot select the TTS engine", None, True, ValueError) # synthesize self.log(u"Synthesizing text...") result = self.tts_engine.synthesize_multiple( text_file=text_file, output_file_path=audio_file_path, quit_after=quit_after, backwards=backwards ) self.log(u"Synthesizing text... done") # check that the output file has been written if not gf.file_exists(audio_file_path): self.log_exc(u"Audio file path '%s' cannot be read" % (audio_file_path), None, True, OSError) return result	[ 1, 18787, 4855, 29914, 2109, 29914, 6272, 3017, 13, 29937, 14137, 29922, 9420, 29899, 29947, 13, 13, 29937, 263, 1600, 294, 338, 263, 5132, 29914, 29907, 3489, 322, 263, 731, 310, 8492, 13, 29937, 304, 3345, 351, 1711, 12231, 675, 10348, 322, 1426, 313, 8245, 11826, 22239, 29897, 13, 29937, 13, 29937, 14187, 1266, 313, 29907, 29897, 29871, 29906, 29900, 29896, 29906, 29899, 29906, 29900, 29896, 29941, 29892, 529, 5813, 29958, 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Gerador_de_Senha.py	Jhon-Dx/Program	0	40053	import Gerador_de_senhas.Defs as ge import PySimpleGUI as sg class Gerador: sg.theme('DarkPurple1') def __init__(self): layout = [ [sg.Checkbox('Numeros', key='sonumeros'), sg.Text(size=(3, 1)), sg.Checkbox('Letras', key='soletras'), sg.Text(size=(3, 1)), sg.Checkbox('Simbolos', key='sosimbolos')], [sg.Text('Quantidade de senhas'), sg.Combo(values=list(range(30)), key='totalchars', default_value=1, size=(3, 1))], [sg.Text(size=(11, 3)), sg.Button('Gerar Senha')], [sg.Text('Resultado:', size=(9, 1)), sg.Text(size=(22, 0))], [sg.Output(size=(40, 5))] ] self.janela = sg.Window("Gerador de Senha").layout(layout) def iniciar(self): while True: self.evento, self.values = self.janela.read() com_numeros = self.values['sonumeros'] com_letras = self.values['soletras'] com_simbolos = self.values['sosimbolos'] total_de_caracteres = self.values['totalchars'] if self.evento == sg.WINDOW_CLOSED: break if self.evento == 'Gerar Senha': newsenha = ge.truefalse(com_numeros, com_simbolos, com_letras, total_de_caracteres) print(newsenha) tela = Gerador() tela.iniciar()	[ 1, 1053, 5681, 3136, 29918, 311, 29918, 4881, 5349, 29889, 3206, 29879, 408, 1737, 13, 5215, 10772, 15427, 29954, 3120, 408, 269, 29887, 13, 13, 13, 1990, 5681, 3136, 29901, 13, 1678, 269, 29887, 29889, 18193, 877, 29928, 935, 29925, 332, 552, 29896, 1495, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 1125, 13, 4706, 5912, 353, 518, 13, 9651, 518, 5311, 29889, 5596, 1884, 877, 29940, 4680, 359, 742, 1820, 2433, 1100, 4680, 359, 5477, 269, 29887, 29889, 1626, 29898, 2311, 7607, 29941, 29892, 29871, 29896, 8243, 269, 29887, 29889, 5596, 1884, 877, 12024, 3417, 742, 1820, 2433, 2170, 10678, 5477, 13, 9651, 269, 29887, 29889, 1626, 29898, 2311, 7607, 29941, 29892, 29871, 29896, 8243, 269, 29887, 29889, 5596, 1884, 877, 8942, 2095, 359, 742, 1820, 2433, 29879, 359, 326, 2095, 359, 1495, 1402, 13, 9651, 518, 5311, 29889, 1626, 877, 22930, 5558, 316, 6940, 5349, 5477, 269, 29887, 29889, 1523, 833, 29898, 5975, 29922, 1761, 29898, 3881, 29898, 29941, 29900, 8243, 1820, 2433, 7827, 305, 1503, 742, 2322, 29918, 1767, 29922, 29896, 29892, 13, 9651, 2159, 7607, 29941, 29892, 29871, 29896, 876, 1402, 13, 9651, 518, 5311, 29889, 1626, 29898, 2311, 7607, 29896, 29896, 29892, 29871, 29941, 8243, 269, 29887, 29889, 3125, 877, 29954, 261, 279, 5811, 2350, 1495, 1402, 13, 9651, 518, 5311, 29889, 1626, 877, 1666, 2727, 29901, 742, 2159, 7607, 29929, 29892, 29871, 29896, 8243, 269, 29887, 29889, 1626, 29898, 2311, 7607, 29906, 29906, 29892, 29871, 29900, 876, 1402, 13, 9651, 518, 5311, 29889, 6466, 29898, 2311, 7607, 29946, 29900, 29892, 29871, 29945, 28166, 13, 4706, 4514, 13, 4706, 1583, 29889, 8931, 3100, 353, 269, 29887, 29889, 5907, 703, 29954, 261, 3136, 316, 5811, 2350, 2564, 2680, 29898, 2680, 29897, 13, 13, 1678, 822, 21855, 279, 29898, 1311, 1125, 13, 4706, 1550, 5852, 29901, 13, 9651, 1583, 29889, 3696, 29877, 29892, 1583, 29889, 5975, 353, 1583, 29889, 8931, 3100, 29889, 949, 580, 13, 9651, 419, 29918, 8058, 359, 353, 1583, 29889, 5975, 1839, 1100, 4680, 359, 2033, 13, 9651, 419, 29918, 280, 10678, 353, 1583, 29889, 5975, 1839, 2170, 10678, 2033, 13, 9651, 419, 29918, 3601, 2095, 359, 353, 1583, 29889, 5975, 1839, 29879, 359, 326, 2095, 359, 2033, 13, 9651, 3001, 29918, 311, 29918, 4287, 5761, 267, 353, 1583, 29889, 5975, 1839, 7827, 305, 1503, 2033, 13, 9651, 565, 1583, 29889, 3696, 29877, 1275, 269, 29887, 29889, 25152, 3970, 29956, 29918, 29907, 3927, 1660, 29928, 29901, 13, 18884, 2867, 13, 9651, 565, 1583, 29889, 3696, 29877, 1275, 525, 29954, 261, 279, 5811, 2350, 2396, 13, 18884, 716, 4881, 2350, 353, 1737, 29889, 3009, 4541, 29898, 510, 29918, 8058, 359, 29892, 419, 29918, 3601, 2095, 359, 29892, 419, 29918, 280, 10678, 29892, 3001, 29918, 311, 29918, 4287, 5761, 267, 29897, 13, 18884, 1596, 29898, 1482, 4881, 2350, 29897, 13, 13, 13, 29873, 3100, 353, 5681, 3136, 580, 13, 29873, 3100, 29889, 262, 1654, 279, 580, 2 ]
apps/users/views.py	madjaqk/puzzle_master_v2	0	114086	<filename>apps/users/views.py from django.contrib import messages from django.contrib.auth import authenticate, login, logout, update_session_auth_hash from django.contrib.auth.decorators import login_required from django.contrib.auth.forms import AuthenticationForm, UserCreationForm, AdminPasswordChangeForm, PasswordChangeForm from django.contrib.auth.models import User from django.shortcuts import render, redirect from social_django.models import UserSocialAuth from .forms import MyAuthenticationForm def login_page(request): oauth_buttons = [ ("facebook", "users/img/facebook_login.png"), ("twitter", "users/img/sign-in-with-twitter-gray.png"), ("github", "users/img/GitHub_Logo.png"), ] context = { "register_form": UserCreationForm(), "login_form": MyAuthenticationForm(), "oauth_buttons": oauth_buttons } return render(request, "users/login.html", context) def register(request): if request.method != "POST": return redirect("users:login_page") form = UserCreationForm(request.POST) if form.is_valid(): form.save() username = form.cleaned_data.get("username") raw_password = form.cleaned_data.get("<PASSWORD>") user = authenticate(username=username, password=raw_password) login(request, user) return redirect("puzzles:index") # Change this back to puzzles:index !!! else: for field, errors in form.errors.get_json_data().items(): for error in errors: messages.error(request, error["message"]) return redirect("users:login_page") def login_user(request): if request.method != "POST": return redirect("users:login_page") user = authenticate(username=request.POST["username"], password=request.POST["password"]) if user is not None: login(request, user) return redirect("puzzles:index") else: messages.error(request, "Username or password incorrect") return redirect("users:login_page") def logout_user(request): logout(request) return redirect("users:login_page") @login_required def settings(request): user = request.user other_sites = ["github", "twitter", "facebook"] other_site_logins = [] for site in other_sites: try: other_site_logins.append(user.social_auth.get(provider=site)) except UserSocialAuth.DoesNotExist: other_site_logins.append(None) context = {f"{site}_login": site_login for site, site_login in zip (other_sites, other_site_logins)} context["can_disconnect"] = user.social_auth.count() > 1 or user.has_usable_password() return render(request, "users/settings.html", context) @login_required def password(request): if request.user.has_usable_password(): PasswordForm = PasswordChangeForm else: PasswordForm = AdminPasswordChangeForm if request.method == "POST": form = PasswordForm(request.user, request.POST) if form.is_valid(): form.save() update_session_auth_hash(request, form.user) messages.success(request, "Your password was successfully updated!") else: for field, errors in form.errors.get_json_data().items(): for error in errors: messages.error(request, error["message"]) return 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puzzle_captcha/management/commands/load_images.py	MegaMark16/django-puzzle-captcha	4	72464	import os from django.core.management.base import BaseCommand, CommandError from django.core.files.uploadedfile import SimpleUploadedFile from puzzle_captcha.models import Puzzle class Command(BaseCommand): args = '<path_to_images_folder ...>' help = 'Loads all the images from the folder specified into the Puzzle Captcha library' def add_arguments(self, parser): parser.add_argument('path') def handle(self, args, *options): path = options['path'] files = os.listdir(path) for filename in files: print "Loading %s..." % filename create_puzzle(path, filename) try: pass except Exception as ex: print ex def create_puzzle(directory, filename): puzzle = Puzzle(key='') try: full_file_path = os.path.join(directory, filename) image = open(full_file_path, 'rb')#Image.open(full_file_path) puzzle.image.save(filename, SimpleUploadedFile(filename, image.read(), content_type='image/jpg'), save=True) puzzle.save() except Exception as ex: if puzzle.id: puzzle.delete() print 'An error occurred: %s' % ex	[ 1, 1053, 2897, 13, 3166, 9557, 29889, 3221, 29889, 21895, 29889, 3188, 1053, 7399, 6255, 29892, 10516, 2392, 13, 3166, 9557, 29889, 3221, 29889, 5325, 29889, 9009, 287, 1445, 1053, 12545, 3373, 15638, 2283, 13, 3166, 20285, 280, 29918, 17885, 5815, 29889, 9794, 1053, 349, 18813, 280, 13, 13, 1990, 10516, 29898, 5160, 6255, 1125, 13, 1678, 6389, 353, 12801, 2084, 29918, 517, 29918, 8346, 29918, 12083, 2023, 16299, 13, 1678, 1371, 353, 525, 5896, 29879, 599, 278, 4558, 515, 278, 4138, 6790, 964, 278, 349, 18813, 280, 8868, 5815, 3489, 29915, 13, 13, 1678, 822, 788, 29918, 25699, 29898, 1311, 29892, 13812, 1125, 13, 4706, 13812, 29889, 1202, 29918, 23516, 877, 2084, 1495, 13, 13, 1678, 822, 4386, 29898, 1311, 29892, 334, 5085, 29892, 3579, 6768, 1125, 13, 4706, 2224, 353, 3987, 1839, 2084, 2033, 13, 4706, 2066, 353, 2897, 29889, 1761, 3972, 29898, 2084, 29897, 13, 4706, 363, 10422, 297, 2066, 29901, 13, 9651, 1596, 376, 23456, 1273, 29879, 17794, 1273, 10422, 13, 9651, 1653, 29918, 29886, 18813, 280, 29898, 2084, 29892, 10422, 29897, 13, 9651, 1018, 29901, 13, 18884, 1209, 13, 9651, 5174, 8960, 408, 429, 29901, 13, 18884, 1596, 429, 268, 13, 308, 13, 308, 13, 462, 268, 13, 1753, 1653, 29918, 29886, 18813, 280, 29898, 12322, 29892, 10422, 1125, 13, 1678, 20285, 280, 353, 349, 18813, 280, 29898, 1989, 2433, 1495, 13, 1678, 1018, 29901, 13, 4706, 2989, 29918, 1445, 29918, 2084, 353, 2897, 29889, 2084, 29889, 7122, 29898, 12322, 29892, 10422, 29897, 13, 4706, 1967, 353, 1722, 29898, 8159, 29918, 1445, 29918, 2084, 29892, 525, 6050, 1495, 29937, 2940, 29889, 3150, 29898, 8159, 29918, 1445, 29918, 2084, 29897, 13, 4706, 20285, 280, 29889, 3027, 29889, 7620, 29898, 9507, 29892, 12545, 3373, 15638, 2283, 29898, 9507, 29892, 1967, 29889, 949, 3285, 2793, 29918, 1853, 2433, 3027, 29914, 6173, 5477, 4078, 29922, 5574, 29897, 13, 4706, 20285, 280, 29889, 7620, 580, 4706, 13, 1678, 5174, 8960, 408, 429, 29901, 13, 4706, 565, 20285, 280, 29889, 333, 29901, 13, 9651, 20285, 280, 29889, 8143, 580, 13, 4706, 1596, 525, 2744, 1059, 10761, 29901, 1273, 29879, 29915, 1273, 429, 13, 13, 2 ]
shareloc/geofunctions/rectification.py	CNES/shareloc	10	197458	<reponame>CNES/shareloc<gh_stars>1-10 #!/usr/bin/env python # coding: utf8 # # Copyright (c) 2022 Centre National d'Etudes Spatiales (CNES). # # This file is part of Shareloc # (see https://github.com/CNES/shareloc). # # 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 contains functions to generate stereo-rectification epipolar grids """ # Standard imports import math # Third party imports import numpy as np import rasterio # Shareloc imports from shareloc.geofunctions.localization import Localization, coloc from shareloc.image import Image def write_epipolar_grid(grid, filename, xy_convention=True): """ Write epipolar grid in a tiff file :param grid: epipolar grid :type grid: shareloc.Image :param filename: output filename :type filename: string :param xy_convention: True: write grid with xy convention : [band 1 = col displacement, band 2 = row displacement] False: write grid with yx convention : [band 1 = row displacement, band 2 = col displacement] :param xy_convention: bool """ band, row, col = grid.data.shape with rasterio.open( filename, "w", driver="GTiff", dtype=np.float64, width=col, height=row, count=band, transform=grid.transform ) as source_ds: if xy_convention: source_ds.write(grid.data[1, :, :], 1) source_ds.write(grid.data[0, :, :], 2) else: source_ds.write(grid.data[0, :, :], 1) source_ds.write(grid.data[1, :, :], 2) def compute_epipolar_angle(end_line, start_line): """ Define the epipolar angle :param end_line: ending of the epipolar line (georeferenced coordinates) :type end_line: 1D np.array [row, col, altitude] or 2D np.array [number of points, [row, col, altitude]] :param start_line: beginning of the epipolar line (georeferenced coordinates) :type start_line: 1D np.array [row, col, altitude] or 2D np.array [number of points, [row, col, altitude]] :return: epipolar angle :rtype : float or 1D np.array """ # Only one point, expand the shape of the array if len(end_line.shape) == 1: end_line = np.expand_dims(end_line, axis=0) start_line = np.expand_dims(start_line, axis=0) # Compute the equation of the epipolar line y = ax + b and define the epipolare angle alpha = np.zeros(end_line.shape[0]) # Same columns, positive direction same_col_positive = (end_line[:, 1] == start_line[:, 1]) & (end_line[:, 0] > start_line[:, 0]) alpha[same_col_positive] = 0.5 math.pi # Same columns, negative direction same_col_negative = (end_line[:, 1] == start_line[:, 1]) & (end_line[:, 0] <= start_line[:, 0]) alpha[same_col_negative] = -0.5 * math.pi # Different columns, positive direction diff_col_pos = np.where((end_line[:, 1] != start_line[:, 1]) & (end_line[:, 1] > start_line[:, 1])) slope = (end_line[diff_col_pos[0], 0] - start_line[diff_col_pos[0], 0]) / ( end_line[diff_col_pos[0], 1] - start_line[diff_col_pos[0], 1] ) alpha[diff_col_pos] = np.arctan(slope) # Different columns, negative direction diff_col_neg = np.where((end_line[:, 1] != start_line[:, 1]) & (end_line[:, 1] <= start_line[:, 1])) slope = (end_line[diff_col_neg[0], 0] - start_line[diff_col_neg[0], 0]) / ( end_line[diff_col_neg[0], 1] - start_line[diff_col_neg[0], 1] ) alpha[diff_col_neg[0]] = math.pi + np.arctan(slope) return np.squeeze(alpha) def compute_local_epipolar_line(geom_model_left, geom_model_right, left_point, elevation, elevation_offset): """ Estimate the beginning and the ending of local epipolar line in left image :param geom_model_left: geometric model of the left image :type geom_model_left: shareloc.grid or shareloc.rpc :param geom_model_right: geometric model of the right image :type geom_model_right: shareloc.grid or shareloc.rpc :param left_point: georeferenced coordinates in the left image :type left_point: 1D numpy array : [row coord, col coord, altitude] or 2D numpy array : (number of points, [row coord, col coord, altitude]) :param elevation: elevation :type elevation: shareloc.dtm or float :param elevation_offset: elevation difference used to estimate the local tangent :type elevation_offset: int :return: Coordinates of the beginning and the ending of local epipolar line in the left image :rtype: Tuple(1D np.array [row, col, altitude], 1D numpy array [row, col, altitude]) or Tuple(2D np.array (nb points, [row, col, altitude]), 2D np.array (nb points, [row, col, altitude])) """ # Only one point, expand the shape of the array if len(left_point.shape) == 1: left_point = np.expand_dims(left_point, axis=0) # Right correspondent of the left coordinates right_corr = np.zeros((left_point.shape[0], 3)) right_corr[:, 0], right_corr[:, 1], right_corr[:, 2] = coloc( geom_model_left, geom_model_right, left_point[:, 0], left_point[:, 1], elevation ) ground_elev = np.array(right_corr[:, 2]) # Find the beginning of the epipolar line in the left image, using right correspondent at lower elevation right_corr[:, 2] = ground_elev - elevation_offset epi_line_start = np.zeros((left_point.shape[0], 3)) epi_line_start[:, 0], epi_line_start[:, 1], epi_line_start[:, 2] = coloc( geom_model_right, geom_model_left, right_corr[:, 0], right_corr[:, 1], right_corr[:, 2] ) # Find the ending of the epipolar line in the left image, using right correspondent at higher elevation right_corr[:, 2] = ground_elev + elevation_offset epi_line_end = np.zeros((left_point.shape[0], 3)) epi_line_end[:, 0], epi_line_end[:, 1], epi_line_end[:, 2] = coloc( geom_model_right, geom_model_left, right_corr[:, 0], right_corr[:, 1], right_corr[:, 2] ) return np.squeeze(epi_line_start), np.squeeze(epi_line_end) # pylint: disable=too-many-locals def prepare_rectification(left_im, geom_model_left, geom_model_right, elevation, epi_step, elevation_offset): """ Determine size and spacing of the epipolar grids. Determine size of the epipolare images and the upper-left origin of the stereo-rectified left image (starting point) :param left_im: left image :type left_im: shareloc.image object :param geom_model_left: geometric model of the left image :type geom_model_left: shareloc.grid or shareloc.rpc :param geom_model_right: geometric model of the right image :type geom_model_right: shareloc.grid or shareloc.rpc :param elevation: elevation :type elevation: shareloc.dtm or float :param epi_step: epipolar step :type epi_step: int :param elevation_offset: elevation difference used to estimate the local tangent :type elevation_offset: int :return: return : - epipolar grids spacing (pixel size), 1D np.array [row pixel size, col pixel size] - epipolar grids size, 1D np.array [number of row, number of columns] - epipolar images size, 1D np.array [number of row, number of columns] - epipolar image starting point in the left image, 1D np.array [georef row, georef col, altitude] - epipolar image estimated ending point in the left image, 1D np.array [georef row, georef col, altitude] :rtype: Tuple """ # Choose a square spacing mean_spacing = 0.5 * (abs(left_im.pixel_size_col) + abs(left_im.pixel_size_row)) # Pixel size (spacing) of the epipolar grids, convention [row, col] grid_pixel_size = np.full(shape=2, fill_value=epi_step, dtype=np.float64) grid_pixel_size = mean_spacing # Georeferenced coordinates of the upper-left origin of left image : [row, col, altitude] origin_row, origin_col = left_im.transform_index_to_physical_point(0, 0) left_origin = np.array([origin_row, origin_col]) # --- Compute the parameters of the local epipolar line at the left image origin --- local_epi_start, local_epi_end = compute_local_epipolar_line( geom_model_left, geom_model_right, left_origin, elevation, elevation_offset ) # 2) Compute epipolar angle using the begin and the end of the left local epipolar line alpha = compute_epipolar_angle(local_epi_end, local_epi_start) # 3) Compute unitary vectors, useful for moving in rows and columns in epipolar geometry # Unit vector tangent to the epipolar line (moving along line) unit_vector_along_epi_x = math.cos(alpha) unit_vector_along_epi_y = math.sin(alpha) # Unit vector orthogonal to epipolar direction (moving to next line) unit_vector_ortho_epi_x = -math.sin(alpha) unit_vector_ortho_epi_y = math.cos(alpha) # 4) Compute the bounding box of the left input image in the epipolar geometry # Coordinates of the 4 corners ulx = 0 uly = 0 urx = unit_vector_along_epi_x left_im.nb_columns * left_im.pixel_size_col ury = unit_vector_ortho_epi_x * left_im.nb_columns * left_im.pixel_size_col llx = unit_vector_along_epi_y * left_im.nb_rows * left_im.pixel_size_row lly = unit_vector_ortho_epi_y * left_im.nb_rows * left_im.pixel_size_row lrx = ( unit_vector_along_epi_x * left_im.nb_columns * left_im.pixel_size_col + unit_vector_along_epi_y * left_im.nb_rows * left_im.pixel_size_row ) lry = ( unit_vector_ortho_epi_x * left_im.nb_columns * left_im.pixel_size_col + unit_vector_ortho_epi_y * left_im.nb_rows * left_im.pixel_size_row ) # Bounding box minx = min(min(min(urx, llx), lrx), ulx) miny = min(min(min(ury, lly), lry), uly) maxx = max(max(max(urx, llx), lrx), ulx) maxy = max(max(max(ury, lly), lry), uly) # 5) Compute the size of epipolar images rectified_image_size = [int((maxy - miny) / mean_spacing), int((maxx - minx) / mean_spacing)] # 6) Georeferenced coordinates of the upper-left and lower right position of left epipolar image # (starting point, end point) left_epi_origin = [ left_origin[0] + (unit_vector_along_epi_y * minx + unit_vector_ortho_epi_y * miny), left_origin[1] + (unit_vector_along_epi_x * minx + unit_vector_ortho_epi_x * miny), (local_epi_start[2] + local_epi_end[2]) / 2.0, ] left_epi_end = [ left_origin[0] + (unit_vector_along_epi_y * maxx + unit_vector_ortho_epi_y * maxy), left_origin[1] + (unit_vector_along_epi_x * maxx + unit_vector_ortho_epi_x * maxy), (local_epi_start[2] + local_epi_end[2]) / 2.0, ] # 7) Compute the size of the epipolar grids, convention [nb_row, nb_col] grid_size = [int(rectified_image_size[0] / epi_step + 2), int(rectified_image_size[1] / epi_step + 2)] return grid_pixel_size, grid_size, rectified_image_size, left_epi_origin, left_epi_end def get_epipolar_extent( left_im, geom_model_left, geom_model_right, elevation=0.0, epi_step=30.0, elevation_offset=50.0, margin=0.0 ): """ return epipolar footprint using reprojection of epipolar geometry in left image. :param left_im: left image :type left_im: shareloc.image object :param geom_model_left: geometric model of the left image :type geom_model_left: shareloc.grid or shareloc.rpc :param geom_model_right: geometric model of the right image :type geom_model_right: shareloc.grid or shareloc.rpc :param elevation: elevation :type elevation: shareloc.dtm or float :param epi_step: epipolar step :type epi_step: float :param elevation_offset: elevation difference used to estimate the local tangent :type elevation_offset: float :param margin: footprint margin (in degrees) :type margin : float :return extent : [lon_min,lat_min,lon max,lat max] (2D np.array) :rtype numpy.array """ footprint = np.zeros([2, 2]) __, __, __, left_epi_origin, left_epi_end = prepare_rectification( left_im, geom_model_left, geom_model_right, elevation, epi_step, elevation_offset ) footprint[0, :] = left_epi_origin[0:2] footprint[1, :] = left_epi_end[0:2] using_geotransform = False loc_left = Localization(geom_model_left, image=left_im) on_ground_pos = loc_left.direct(footprint[:, 0], footprint[:, 1], 0, using_geotransform=using_geotransform) [lon_min, lat_min, __] = np.min(on_ground_pos, 0) [lon_max, lat_max, __] = np.max(on_ground_pos, 0) return np.array([lat_min - margin, lon_min - margin, lat_max + margin, lon_max + margin]) def initialize_grids(epi_step, nb_row, nb_col): """ Initialize left and right epipolar grids : set geo-transform and zeros data :param epi_step: epipolar step :param nb_row: rows of the grid :param nb_col: columns of the grid :return: left epipolar grid, right epipolar grid :rtype : Tuple(shareloc.Image, shareloc.Image) """ # Initialize left and right epipolar grids left_grid = Image(image_path=None) # Convention : # \| col pixel size, row rotation , origin col upper-left\| # \| col rotation, row pixel size, , origin row upper-left\| left_grid_geo_transform = np.array( [epi_step, 0, -(epi_step * 0.5), 0, epi_step, -(epi_step * 0.5)], dtype=np.float64 ) left_grid.set_metadata(nb_row, nb_col, 2, left_grid_geo_transform, datatype=np.float64) right_grid = Image(image_path=None) right_grid_geo_transform = np.array( [epi_step, 0, -(epi_step * 0.5), 0, epi_step, -(epi_step * 0.5)], dtype=np.float64 ) right_grid.set_metadata(nb_row, nb_col, 2, right_grid_geo_transform, datatype=np.float64) return left_grid, right_grid def moving_to_next_line(geom_model_left, geom_model_right, current_line, mean_spacing, elevation, epi_step, alpha): """ Moving to the next line in epipolar geometry :param geom_model_left: geometric model of the left image :type geom_model_left: shareloc.grid or shareloc.rpc :param geom_model_right: geometric model of the right image :type geom_model_right: shareloc.grid or shareloc.rpc :param current_line: current line in the left epipolar geometry :type current_line: 1D np.array [row, col, altitude] :param mean_spacing: mean spacing of epipolar grids :type mean_spacing: int :param elevation: elevation :type elevation: shareloc.dtm or float :param epi_step: epipolar step :type epi_step: int :param alpha: epipolar angle :type alpha: float :return: left and right coordinates of the next line in epioplar geometry :rtype: Tuple([row, col, altitude], [row, col, altitude]) """ # Find the start of next line in epipolar geometry # Unit vector orthogonal to epipolar direction unit_vector_ortho_epi_y = epi_step * mean_spacing * math.cos(alpha) unit_vector_ortho_epi_x = -1 * mean_spacing * epi_step * math.sin(alpha) next_line_start_left = np.zeros(3, dtype=np.float64) next_line_start_left[0] = np.copy(current_line[0]) + unit_vector_ortho_epi_y next_line_start_left[1] = np.copy(current_line[1]) + unit_vector_ortho_epi_x # Find the corresponding starting point in the right image next_line_start_right = np.zeros(3, dtype=np.float64) next_line_start_right[0], next_line_start_right[1], next_line_start_right[2] = coloc( geom_model_left, geom_model_right, next_line_start_left[0], next_line_start_left[1], elevation ) return next_line_start_left, next_line_start_right def moving_along_lines( geom_model_left, geom_model_right, current_left_coords, mean_spacing, elevation, epi_step, alphas ): """ Determine the position of next pixels in the epipolare lines :param geom_model_left: geometric model of the left image :type geom_model_left: shareloc.grid or shareloc.rpc :param geom_model_right: geometric model of the right image :type geom_model_right: shareloc.grid or shareloc.rpc :param current_left_coords: current georeferenced coordinates in left epipolare line :type current_left_coords: 2D numpy array (number rows in epipolar geometry, [row, col, altitude]) :param mean_spacing: mean spacing of epipolar grids :type mean_spacing: int :param elevation: elevation :type elevation: shareloc.dtm or float :param epi_step: epipolar step :type epi_step: int :param alphas: epipolar angles of each local epipolar lines :type alphas: List :return: coordinates of next pixels in left epipolar line, coordinates of next pixels in right epipolar line :rtype: Tuple(2D numpy array (number rows in epipolar geometry, [row, col, altitude]), 2D numpy array (number rows in epipolar geometry, [row, col, altitude])) """ # Determine position of next pixels in the epipolar line of the left image (moving along lines) # Unit vector tangent to the epipolar line unit_vector_along_epi_y = epi_step * mean_spacing * np.sin(alphas) unit_vector_along_epi_x = epi_step * mean_spacing * np.cos(alphas) # Move to the next pixels in left image next_left_coords = np.copy(current_left_coords) next_left_coords[:, 0] += unit_vector_along_epi_y next_left_coords[:, 1] += unit_vector_along_epi_x # Find the corresponding next pixels in the right image next_right_coords = np.zeros(next_left_coords.shape, dtype=next_left_coords.dtype) next_right_coords[:, 0], next_right_coords[:, 1], next_right_coords[:, 2] = coloc( geom_model_left, geom_model_right, next_left_coords[:, 0], next_left_coords[:, 1], elevation ) return next_left_coords, next_right_coords # disable for api symmetry between left and right data # pylint: disable=unused-argument # pylint: disable=too-many-locals def compute_stereorectification_epipolar_grids( left_im, geom_model_left, right_im, geom_model_right, elevation=0.0, epi_step=1, elevation_offset=50.0 ): """ Compute stereo-rectification epipolar grids :param left_im: left image :type left_im: shareloc.image object :param geom_model_left: geometric model of the left image :type geom_model_left: shareloc.grid or shareloc.rpc :param right_im: right image :type right_im: shareloc.image object :param geom_model_right: geometric model of the right image :type geom_model_right: shareloc.grid or shareloc.rpc :param elevation: elevation :type elevation: shareloc.dtm or float :param epi_step: epipolar step :type epi_step: int :param elevation_offset: elevation difference used to estimate the local tangent :type elevation_offset: float :return: return : - left epipolar grid, shareloc.image object convention [[row displacement, col displacement], nb rows, nb cols] - right epipolar grid, shareloc.image object convention [[row displacement, col displacement], nb rows, nb cols] - number of rows of the epipolar image, int - number of columns of the epipolar image, int - mean value of the baseline to sensor altitude ratio, float :rtype: Tuple """ # Retrieve grids : spacing (pixel size) and size # Retrieve epipolar image : size and upper-left origin in the left image geometry (starting point) __, grid_size, rectified_image_size, left_epi_origin, __ = prepare_rectification( left_im, geom_model_left, geom_model_right, elevation, epi_step, elevation_offset ) # Use the mean spacing as before mean_spacing = 0.5 * (abs(left_im.pixel_size_col) + abs(left_im.pixel_size_row)) left_grid, right_grid = initialize_grids(epi_step, grid_size[0], grid_size[1]) # Starting points are the upper-left origin of the left epipolar image, and it's correspondent in the right image start_left = np.copy(left_epi_origin) start_right = np.zeros(3, dtype=start_left.dtype) start_right[0], start_right[1], start_right[2] = coloc( geom_model_left, geom_model_right, start_left[0], start_left[1], elevation ) mean_baseline_ratio = 0 # Compute the starting point of each epipolar line to be able to move along the lines (useful to vectorize the code) # Georeferenced coordinates of each starting epipolar lines in left and right image left_epi_lines = [np.copy(start_left)] right_epi_lines = [np.copy(start_right)] # For each rows of the epipolar geometry, define left and right starting coordinates of each epipolar lines for __ in range(grid_size[0] - 1): # --- Compute left local epipolar line, useful for moving to the next line --- local_epi_start, local_epi_end = compute_local_epipolar_line( geom_model_left, geom_model_right, left_epi_lines[-1], elevation, elevation_offset ) # epipolar angle using the begin and the end of the left local epipolar line alpha = compute_epipolar_angle(local_epi_end, local_epi_start) # Find the start of next line in epipolar geometry next_epi_line_left, next_epi_line_right = moving_to_next_line( geom_model_left, geom_model_right, left_epi_lines[-1], mean_spacing, elevation, epi_step, alpha ) # Save the starting points, useful to be able to move along the lines in the next loop left_epi_lines.append(np.copy(next_epi_line_left)) right_epi_lines.append(np.copy(next_epi_line_right)) # Left and right epipolar coordinates of the current point left_epi_coords = np.array(left_epi_lines) right_epi_coords = np.array(right_epi_lines) # Moving along epipolar lines rows = np.arange(grid_size[0]) for col in range(grid_size[1]): # Estimate the displacement values of the current pixels # Cast grid index to georeferenced grid coordinates current_left_grid = left_grid.transform_index_to_physical_point(rows, np.repeat(col, rows.shape[0])) current_right_grid = right_grid.transform_index_to_physical_point(rows, np.repeat(col, rows.shape[0])) left_grid.data[0, :, col] = left_epi_coords[:, 0] - current_left_grid[0] left_grid.data[1, :, col] = left_epi_coords[:, 1] - current_left_grid[1] right_grid.data[0, :, col] = right_epi_coords[:, 0] - current_right_grid[0] right_grid.data[1, :, col] = right_epi_coords[:, 1] - current_right_grid[1] # Compute left local epipolar line, useful to estimate the local baseline ratio and moving to the next pixels local_epi_start, local_epi_end = compute_local_epipolar_line( geom_model_left, geom_model_right, left_epi_coords, elevation, elevation_offset ) # Estimate the local baseline ratio local_baseline_ratio = np.sqrt( (local_epi_end[:, 1] - local_epi_start[:, 1]) * (local_epi_end[:, 1] - local_epi_start[:, 1]) + (local_epi_end[:, 0] - local_epi_start[:, 0]) * (local_epi_end[:, 0] - local_epi_start[:, 0]) ) / (2 * elevation_offset) mean_baseline_ratio += np.sum(local_baseline_ratio) # epipolar angle using the begin and the end of the left local epipolar lines alphas = compute_epipolar_angle(local_epi_end, local_epi_start) # Move to the next pixels in the epipolar line (moving along lines) left_epi_coords, right_epi_coords = moving_along_lines( geom_model_left, geom_model_right, left_epi_coords, mean_spacing, elevation, epi_step, alphas ) # Compute the mean baseline ratio mean_baseline_ratio /= grid_size[0] * grid_size[1] return left_grid, right_grid, rectified_image_size[0], rectified_image_size[1], mean_baseline_ratio	[ 1, 529, 276, 1112, 420, 29958, 13778, 2890, 29914, 13653, 2029, 29966, 12443, 29918, 303, 1503, 29958, 29896, 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logical_backup/pretty_print.py	ammesonb/logical-backup	0	1611141	<gh_stars>0 """ Some pretty-printing stuff """ from __future__ import annotations from enum import Enum CHECK_UNICODE = "\u2714" CROSS_UNICODE = "\u274c" class Color(Enum): """ Contains foreground colors for the command line """ BLACK = "\033[30m" RED = "\033[31m" PURPLE = "\033[35m" CYAN = "\033[36m" ERROR = "\033[91m" # Salmon-ish GREEN = "\033[92m" YELLOW = "\033[93m" BLUE = "\033[94m" MAGENTA = "\033[95m" WHITE = "\033[95m" class Background(Enum): """ Contains background colors for the command line """ BLACK = "\033[40m" RED = "\033[41m" GREEN = "\033[42m" YELLOW = "\033[43m" BLUE = "\033[44m" PURPLE = "\033[45m" CYAN = "\033[46m" WHITE = "\033[47m" class Format(Enum): """ Contains text formatting options """ END = "\033[0m" BOLD = "\033[1m" DIM = "\033[2m" UNDERLINE = "\033[4m" HIDDEN = "\033[8m" def get_success_prefix(succeeded: bool = None) -> str: """ Returns a padded string indicating success Check for True, Cross for False, spaces for None """ if succeeded is None: string = " " elif succeeded: # The check has a smaller width than the cross, so pad it string = CHECK_UNICODE + " " else: string = CROSS_UNICODE return string def print_error(message: str) -> None: """ Prints an error message """ PrettyStatusPrinter(message).with_specific_color(Color.ERROR).print_message() # pylint: disable=too-many-instance-attributes class PrettyStatusPrinter: """ Prints status messages, prettily """ def __init__(self, message: str): """ . """ self.__with_ellipsis = True self.__specific_color = None self.__result_colors = {True: Color.GREEN, False: Color.ERROR} self.__message_postfix = {True: "Completed", False: "Failed"} self.__results = {None: None, True: True, False: False} self.__background_color = None self.__styles = [] self.__message = message self.__line_ending = "\n" self.__started = False def __get_styled_message(self, result=None) -> str: """ Returns the styled message Needs to know success status to resolve color correctly """ styled_message = "" if self.__specific_color: styled_message += self.__specific_color.value elif result is not None: styled_message += ( self.__result_colors[result].value if result in self.__result_colors else self.__result_colors[self.__results[result]].value ) if self.__background_color: styled_message += self.__background_color.value if self.__styles: for style in self.__styles: styled_message += style.value styled_message += get_success_prefix(result) styled_message += self.__message if self.__started and self.__with_ellipsis: styled_message += "..." styled_message += self.__message_postfix.get( result, self.__message_postfix.get(self.__results[result], "") ) styled_message += Format.END.value return styled_message def with_custom_result(self, result, is_success: bool) -> PrettyStatusPrinter: """ Allow custom result responses Requires definition of whether it is a "success" or not DO NOT USE "0" or "1" AS VALUES - THEY WILL COLLIDE WITH TRUE/FALSE """ self.__results[result] = is_success return self def with_ellipsis(self, include: bool = True) -> PrettyStatusPrinter: """ Include ellipsis on start, or not """ self.__with_ellipsis = include return self def with_specific_color(self, color: Color) -> PrettyStatusPrinter: """ Always print in this color """ self.__specific_color = color return self # pylint: disable=bad-continuation def with_color_for_result(self, result, color: Color) -> PrettyStatusPrinter: """ Sets the output color for a given response """ self.__result_colors[result] = color return self def with_message_postfix_for_result( self, result, postfix: str ) -> PrettyStatusPrinter: """ Adds message postfix for for given result, e.g. "failed to do X" or "Y happened" """ self.__message_postfix[result] = postfix return self def with_background_color(self, background: Background) -> PrettyStatusPrinter: """ Sets the background color """ self.__background_color = background return self def with_line_ending(self, line_ending: str) -> PrettyStatusPrinter: """ Sets the line ending to print """ self.__line_ending = line_ending return self def with_styles(self, styles: list) -> PrettyStatusPrinter: """ Sets styles to print the message with """ self.__styles += styles return self def print_message(self, to_overwrite: bool = False, result=None) -> None: """ Prints the message If to overwrite, will use a carriage return instead of newline Succeeded can also be specified, to pass through for formatting """ line_ending = "\r" if to_overwrite else self.__line_ending print(self.__get_styled_message(result), end=line_ending, flush=True) def print_start(self) -> PrettyStatusPrinter: """ Prints the starting message """ self.__started = True self.print_message(True) return self def print_complete(self, succeeded: bool = True): """ Print the completed message, for a given success status """ self.print_message(result=succeeded) def readable_bytes(size: int, suffix: str = "B") -> str: """ Prints size of file Parameters ---------- size : int Bytes to format suffix='B' : str What to print after the SI prefix """ for unit in ["", "Ki", "Mi", "Gi", "Ti", "Pi", "Ei", "Zi"]: if abs(size) < 1024.0: return "%3.1f%s%s" % (size, unit, suffix) size /= 1024.0 return "%.1f%s%s" % (size, "Yi", suffix)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 15945, 29908, 13, 9526, 5051, 29899, 2158, 292, 6433, 13, 15945, 29908, 13, 3166, 4770, 29888, 9130, 1649, 1053, 25495, 13, 13, 3166, 14115, 1053, 1174, 398, 13, 13, 3210, 16658, 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courses/data_analysis/deepdive/composer-exercises/subdag_example_solution.py	pranaynanda/training-data-analyst	0	26650	"""Solution for subdag_example.py. Uses a factory function to return a DAG that can be used as the subdag argument to SubDagOperator. Notice that: 1) the SubDAG's dag_id is formatted as parent_dag_id.subdag_task_id 2) the start_date and schedule_interval of the SubDAG are copied from the parent DAG. """ from airflow import DAG from airflow.contrib.operators.gcs_download_operator import GoogleCloudStorageDownloadOperator from airflow.operators.bash_operator import BashOperator from airflow.operators.dummy_operator import DummyOperator from airflow.operators.subdag_operator import SubDagOperator from datetime import datetime, timedelta YESTERDAY = datetime.combine(datetime.today() - timedelta(days=1), datetime.min.time()) default_args = { 'owner': 'airflow', 'depends_on_past': False, 'start_date': YESTERDAY, 'email_on_failure': False, 'email_on_retry': False, 'retries': 1, 'retry_delay': timedelta(minutes=5), } def shakespeare_subdag(parent_dag, subdag_task_id, play_name): with DAG('{}.{}'.format(parent_dag.dag_id, subdag_task_id), schedule_interval=parent_dag.schedule_interval, start_date=parent_dag.start_date, default_args=parent_dag.default_args) as subdag: download = GoogleCloudStorageDownloadOperator( task_id='download', bucket='smenyc2018-subdag-data', object='{}.enc'.format(play_name), filename='/home/airflow/gcs/data/{}.enc'.format(play_name)) decrypt = BashOperator( task_id='decrypt', bash_command= 'openssl enc -in /home/airflow/gcs/data/{play_name}.enc ' '-out /home/airflow/gcs/data/{play_name}.txt -d -aes-128-cbc -k "hello-nyc"' .format(play_name=play_name)) wordcount = BashOperator( task_id='wordcount', bash_command= 'wc -w /home/airflow/gcs/data/{play_name}.txt \| tee /home/airflow/gcs/data/{play_name}_wordcount.txt' .format(play_name=play_name)) download >> decrypt >> wordcount return subdag with DAG('subdag_example_solution', default_args=default_args, catchup=False) as dag: start = DummyOperator(task_id='start') start >> SubDagOperator(task_id='process_romeo', subdag=shakespeare_subdag(dag, 'process_romeo', 'romeo')) start >> SubDagOperator(task_id='process_othello', subdag=shakespeare_subdag(dag, 'process_othello', 'othello')) start >> SubDagOperator(task_id='process_hamlet', subdag=shakespeare_subdag(dag, 'process_hamlet', 'hamlet')) start >> SubDagOperator(task_id='process_macbeth', subdag=shakespeare_subdag(dag, 'process_macbeth', 'macbeth'))	[ 1, 9995, 13296, 918, 363, 1014, 24157, 29918, 4773, 29889, 2272, 29889, 13, 13, 15922, 267, 263, 12529, 740, 304, 736, 263, 360, 10051, 393, 508, 367, 1304, 408, 278, 1014, 24157, 2980, 13, 517, 3323, 29928, 351, 26486, 29889, 16393, 393, 29901, 13, 29896, 29897, 278, 3323, 7698, 29954, 29915, 29879, 12136, 29918, 333, 338, 20917, 408, 3847, 29918, 24157, 29918, 333, 29889, 1491, 24157, 29918, 7662, 29918, 333, 13, 29906, 29897, 278, 1369, 29918, 1256, 322, 20410, 29918, 19207, 310, 278, 3323, 7698, 29954, 526, 13746, 515, 278, 3847, 13, 259, 360, 10051, 29889, 13, 15945, 29908, 13, 3166, 4799, 1731, 1053, 360, 10051, 13, 3166, 4799, 1731, 29889, 21570, 29889, 3372, 4097, 29889, 29887, 2395, 29918, 10382, 29918, 6891, 1053, 5087, 20442, 10486, 22954, 26486, 13, 3166, 4799, 1731, 29889, 3372, 4097, 29889, 13067, 29918, 6891, 1053, 29677, 26486, 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core-python/Core_Python/exception/ExceptionMethods.py	theumang100/tutorials-1	9	140078	<filename>core-python/Core_Python/exception/ExceptionMethods.py ''' e. and use all methods ''' ''' also try different exception like java file,array,string,numberformat ''' ''' user define exception ''' try: raise Exception('spam,','eggs') except Exception as inst: print("Type of instance : ",type(inst)) # the exception instance print("Arguments of instance : ",inst.args) # arguments stored in .args print("Instance print : ",inst) # __str__ allows args to be printed directly,but may be overridden in exception subclasses a,b = inst.args # unpack args print("a : ",a) print("b : ",b)	[ 1, 529, 9507, 29958, 3221, 29899, 4691, 29914, 9203, 29918, 11980, 29914, 11739, 29914, 2451, 26112, 29889, 2272, 13, 12008, 321, 29889, 322, 671, 599, 3519, 14550, 13, 12008, 884, 1018, 1422, 3682, 763, 2115, 934, 29892, 2378, 29892, 1807, 29892, 4537, 4830, 14550, 13, 12008, 1404, 4529, 3682, 14550, 13, 13, 2202, 29901, 13, 1678, 12020, 8960, 877, 1028, 314, 29892, 3788, 387, 3174, 1495, 13, 19499, 8960, 408, 832, 29901, 13, 1678, 1596, 703, 1542, 310, 2777, 584, 9162, 1853, 29898, 2611, 876, 396, 278, 3682, 2777, 13, 1678, 1596, 703, 26915, 310, 2777, 584, 9162, 2611, 29889, 5085, 29897, 396, 6273, 6087, 297, 869, 5085, 13, 1678, 1596, 703, 4998, 1596, 584, 9162, 2611, 29897, 396, 4770, 710, 1649, 6511, 6389, 304, 367, 13350, 4153, 29892, 4187, 1122, 367, 20831, 1145, 297, 3682, 1014, 13203, 13, 1678, 263, 29892, 29890, 353, 832, 29889, 5085, 396, 443, 4058, 6389, 13, 1678, 1596, 703, 29874, 584, 9162, 29874, 29897, 13, 1678, 1596, 703, 29890, 584, 9162, 29890, 29897, 2 ]
DB_Repository_Subscriber.py	twelveand0/github-crawler	3	1610771	#!/usr/bin/python # -- coding: UTF-8 -- import github import db_operation import datetime class DB_Repository_Subscriber: """ This class represents DB_Repository_Subscriber as a class describles subscription-ship between \ github.Repository.Repository and github.NamedUser.NamedUser """ repo = None subscriber = None db = None table = "Repository_Subscriber" def __init__(self, repo, subscriber, db): self.repo = repo self.subscriber = subscriber self.db = db def open_if_connection_closed(self): try: if self.db is None: return False if self.db.open == 0: self.db = db_operation.connect_to_db_simple() if self.db is None: return False return True except Exception, e: print e return False def save(self): try: if self.open_if_connection_closed() == False: return False if self.exist(): return True sql = "insert into %s (%s, %s) values (%d, %d)"%(self.table, "repository", "subscriber", self.repo.id, self.subscriber.id) cursor = self.db.cursor() cursor.execute(sql) self.db.commit() return True except Exception as e: print e return False def exist(self): try: if self.open_if_connection_closed() == False: return False cursor = self.db.cursor() sql = "select count(*) from %s where repository=%d && subscriber=%d;"%(self.table, self.repo.id, self.subscriber.id) cursor.execute(sql) result = cursor.fetchall() if result[0][0] == 0: return False return True except Exception as e: print e return False	[ 1, 18787, 4855, 29914, 2109, 29914, 4691, 30004, 13, 29937, 448, 29930, 29899, 14137, 29901, 18351, 29899, 29947, 448, 29930, 29899, 30004, 13, 30004, 13, 5215, 18546, 30004, 13, 5215, 4833, 29918, 16453, 30004, 13, 5215, 12865, 30004, 13, 30004, 13, 30004, 13, 1990, 6535, 29918, 11481, 29918, 4035, 7588, 495, 29901, 30004, 13, 1678, 9995, 30004, 13, 4706, 910, 770, 11524, 6535, 29918, 11481, 29918, 4035, 7588, 495, 408, 263, 770, 2342, 7586, 25691, 29899, 3527, 1546, 320, 30004, 13, 4706, 18546, 29889, 11481, 29889, 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26471, 13, 30004, 13, 9651, 565, 1121, 29961, 29900, 3816, 29900, 29962, 1275, 29871, 29900, 29901, 30004, 13, 18884, 736, 7700, 30004, 13, 9651, 6756, 13, 9651, 736, 5852, 30004, 13, 30004, 13, 4706, 5174, 8960, 408, 321, 29901, 30004, 13, 9651, 1596, 321, 30004, 13, 9651, 736, 7700, 2 ]
tests/auto/bindings/python/moleculetest.py	quizzmaster/chemkit	34	103884	<filename>tests/auto/bindings/python/moleculetest.py<gh_stars>10-100 ############################################################################### ## ## Copyright (C) 2009-2012 <NAME> <<EMAIL>> ## All rights reserved. ## ## This file is a part of the chemkit project. For more information ## see <http://www.chemkit.org>. ## ## 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 chemkit project nor the names of its ## contributors may be used to endorse or promote products derived ## from this software without specific prior written permission. ## ## THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ## "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT ## LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR ## A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT ## OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, ## SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT ## LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, ## DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY ## THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT ## (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE ## OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ## ############################################################################### import chemkit import unittest class MoleculeTest(unittest.TestCase): def test_atom(self): molecule = chemkit.Molecule() C1 = molecule.addAtom("C") self.assertEqual(C1.atomicNumber(), 6) C2 = molecule.addAtom(6) self.assertEqual(C2.atomicNumber(), 6) C3 = molecule.addAtom(chemkit.Atom.Carbon) self.assertEqual(C3.atomicNumber(), 6) self.assertEqual(molecule.atomCount(), 3) self.assertEqual(molecule.formula(), "C3") def test_bond(self): molecule = chemkit.Molecule() self.assertEqual(molecule.bondCount(), 0) C1 = molecule.addAtom("C") C2 = molecule.addAtom("C") C3 = molecule.addAtom("C") C1_C2 = molecule.addBond(C1, C2) self.assertEqual(molecule.bondCount(), 1) C2_C3 = molecule.addBond(C2, C3, 2) self.assertEqual(molecule.bondCount(), 2) self.assertEqual(C2_C3.order(), 2) def test_formula(self): # empty molecule empty = chemkit.Molecule() self.assertEqual(empty.formula(), "") # ethanol molecule ethanol = chemkit.Molecule() C1 = ethanol.addAtom("C") C2 = ethanol.addAtom("C") O3 = ethanol.addAtom("O") ethanol.addBond(C1, C2) ethanol.addBond(C2, O3) for atom in ethanol.atoms(): while(atom.formalCharge() < 0): hydrogen = ethanol.addAtom("H") ethanol.addBond(atom, hydrogen) self.assertEqual(ethanol.formula(), "C2H6O") def test_rings(self): # benzene molecule benzene = chemkit.Molecule("c1ccccc1", "smiles") self.assertEqual(benzene.formula(), "C6H6") self.assertEqual(benzene.ringCount(), 1) ring = benzene.ring(0) self.assertEqual(ring.size(), 6) if __name__ == '__main__': unittest.main()	[ 1, 529, 9507, 29958, 21150, 29914, 6921, 29914, 5355, 886, 29914, 4691, 29914, 29885, 1772, 4979, 1026, 342, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29900, 29899, 29896, 29900, 29900, 13, 13383, 13383, 13383, 13383, 7346, 4136, 2277, 29937, 13, 2277, 13, 2277, 14187, 1266, 313, 29907, 29897, 29871, 29906, 29900, 29900, 29929, 29899, 29906, 29900, 29896, 29906, 529, 5813, 29958, 3532, 26862, 6227, 6778, 13, 2277, 2178, 10462, 21676, 29889, 13, 2277, 13, 2277, 910, 934, 338, 263, 760, 310, 278, 8950, 7354, 2060, 29889, 1152, 901, 2472, 13, 2277, 1074, 529, 1124, 597, 1636, 29889, 14969, 7354, 29889, 990, 15513, 13, 2277, 13, 2277, 4367, 391, 3224, 322, 671, 297, 2752, 322, 7581, 7190, 29892, 411, 470, 1728, 13, 2277, 21733, 29892, 526, 21905, 4944, 393, 278, 1494, 5855, 13, 2277, 526, 1539, 29901, 13, 2277, 13, 2277, 259, 334, 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273, 324, 29889, 1202, 29933, 898, 29898, 29907, 29906, 29892, 438, 29941, 29897, 13, 13, 4706, 363, 12301, 297, 11314, 273, 324, 29889, 271, 4835, 7295, 13, 9651, 1550, 29898, 8678, 29889, 689, 284, 5914, 479, 580, 529, 29871, 29900, 1125, 13, 18884, 17546, 1885, 353, 11314, 273, 324, 29889, 1202, 4178, 290, 703, 29950, 1159, 13, 18884, 11314, 273, 324, 29889, 1202, 29933, 898, 29898, 8678, 29892, 17546, 1885, 29897, 13, 13, 4706, 1583, 29889, 9294, 9843, 29898, 621, 273, 324, 29889, 689, 2497, 3285, 376, 29907, 29906, 29950, 29953, 29949, 1159, 13, 13, 1678, 822, 1243, 29918, 29878, 886, 29898, 1311, 1125, 13, 4706, 396, 3856, 29920, 1600, 13206, 29883, 1297, 13, 4706, 3856, 29920, 1600, 353, 8950, 7354, 29889, 29924, 1772, 29883, 1297, 703, 29883, 29896, 617, 26854, 29896, 613, 376, 3844, 5475, 1159, 13, 4706, 1583, 29889, 9294, 9843, 29898, 1785, 29920, 1600, 29889, 689, 2497, 3285, 376, 29907, 29953, 29950, 29953, 1159, 13, 4706, 1583, 29889, 9294, 9843, 29898, 1785, 29920, 1600, 29889, 5393, 3981, 3285, 29871, 29896, 29897, 13, 4706, 9228, 353, 3856, 29920, 1600, 29889, 5393, 29898, 29900, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 5393, 29889, 2311, 3285, 29871, 29953, 29897, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 443, 27958, 29889, 3396, 580, 13, 2 ]
ckan_cloud_operator/drivers/kubectl/driver.py	MuhammadIsmailShahzad/ckan-cloud-operator	14	32763	from ckan_cloud_operator import kubectl def get(what, args, required=True, namespace=None, get_cmd=None, kwargs): return kubectl.get(what, args, required=required, namespace=namespace, get_cmd=get_cmd, **kwargs)	[ 1, 515, 274, 11052, 29918, 9274, 29918, 6891, 1053, 413, 431, 522, 29880, 13, 13, 13, 1753, 679, 29898, 5816, 29892, 334, 5085, 29892, 3734, 29922, 5574, 29892, 7397, 29922, 8516, 29892, 679, 29918, 9006, 29922, 8516, 29892, 3579, 19290, 1125, 13, 1678, 736, 413, 431, 522, 29880, 29889, 657, 29898, 5816, 29892, 334, 5085, 29892, 3734, 29922, 12403, 29892, 7397, 29922, 22377, 29892, 679, 29918, 9006, 29922, 657, 29918, 9006, 29892, 3579, 19290, 29897, 13, 2 ]
python/testData/resolve/multiFile/keywordArgument/KeywordArgument.py	jnthn/intellij-community	2	1616609	from a import A print(A()) # <ref>	[ 1, 515, 263, 1053, 319, 13, 13, 2158, 29898, 29909, 3101, 13, 29937, 268, 529, 999, 29958, 13, 13, 2 ]
python/database/recover_database.py	coreyjadams/harvard_production	0	1616918	#!/usr/bin/env python import glob import os from database import DBUtil # This script traverses a list of files and recovers the sqlite3 database # It's not meant as a permanent solution, just a quick fix to a problem # that should go away soon. def recover_stage(top_dir, stage_name, dataset_name, root_pattern, ana_pattern, job_id, db_file): db = DBUtil(db_file) # walk through the directory list print("Search pattern: " + top_dir + "/{0}_/".format(job_id)) list_of_directories = glob.glob(top_dir + "/{0}./".format(job_id)) print("Found {0} directories".format(len(list_of_directories))) for _dir in list_of_directories: # Get the root files and ana files: root_file = glob.glob(_dir + root_pattern) ana_file = glob.glob(_dir + ana_pattern) if len(root_file) < 1: print "Continuing" continue else: root_file = root_file[0] db.declare_file(dataset=dataset_name, filename=os.path.basename(root_file), location=_dir, stage=stage_name, status = 0, ftype=0, nevents=100) if len(ana_file) < 1: print "Continuing" continue else: ana_file = ana_file[0] db.declare_file(dataset=dataset_name, filename=os.path.basename(ana_file), location=_dir, stage=stage_name, status = 0, ftype=1, nevents=100) if __name__ == "__main__": top_dir = "/n/holylfs/LABS/guenette_lab/data/production/mcc8.6/single_pion/generation/" stage_name = "generation" dataset_name = "mcc8.6_single_pion" root_pattern = "prod_pions_0-2.0GeV_isotropic_uboone*_reco2.root" ana_pattern = "reco_stage_2_hist.root" job_id = 36597655 db_file = "/n/holylfs/LABS/guenette_lab/data/production/mcc8.6/single_pion/work/mcc8.6_single_pion.db" recover_stage(top_dir=top_dir, stage_name=stage_name, dataset_name=dataset_name, root_pattern = root_pattern, ana_pattern = ana_pattern, job_id = job_id, db_file = db_file)	[ 1, 18787, 4855, 29914, 2109, 29914, 6272, 3017, 13, 13, 5215, 13149, 13, 5215, 2897, 13, 13, 3166, 2566, 1053, 6535, 7270, 13, 13, 29937, 910, 2471, 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openstack_dashboard/dashboards/admin/group_types/specs/tests.py	nicozhang/horizon	1	84844	<gh_stars>1-10 # 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 django.urls import reverse from openstack_dashboard import api from openstack_dashboard.test import helpers as test class GroupTypeSpecTests(test.BaseAdminViewTests): @test.create_mocks({api.cinder: ('group_type_spec_list', 'group_type_get')}) def test_list_specs_when_none_exists(self): group_type = self.cinder_group_types.first() specs = [api.cinder.GroupTypeSpec(group_type.id, 'k1', 'v1')] self.mock_group_type_get.return_value = group_type self.mock_group_type_spec_list.return_value = specs url = reverse('horizon:admin:group_types:specs:index', args=[group_type.id]) resp = self.client.get(url) self.assertEqual(resp.status_code, 200) self.assertTemplateUsed(resp, "admin/group_types/specs/index.html") self.mock_group_type_get.assert_called_once_with( test.IsHttpRequest(), group_type.id) self.mock_group_type_spec_list.assert_called_once_with( test.IsHttpRequest(), group_type.id) @test.create_mocks({api.cinder: ('group_type_spec_list', 'group_type_get')}) def test_specs_view_with_exception(self): group_type = self.cinder_group_types.first() self.mock_group_type_get.return_value = group_type self.mock_group_type_spec_list.side_effect = self.exceptions.cinder url = reverse('horizon:admin:group_types:specs:index', args=[group_type.id]) resp = self.client.get(url) self.assertEqual(len(resp.context['specs_table'].data), 0) self.assertMessageCount(resp, error=1) self.mock_group_type_get.assert_called_once_with( test.IsHttpRequest(), group_type.id) self.mock_group_type_spec_list.assert_called_once_with( test.IsHttpRequest(), group_type.id) @test.create_mocks({api.cinder: ('group_type_spec_list', 'group_type_spec_set', )}) def test_spec_create_post(self): group_type = self.cinder_group_types.first() create_url = reverse( 'horizon:admin:group_types:specs:create', args=[group_type.id]) index_url = reverse( 'horizon:admin:group_types:index') data = {'key': u'k1', 'value': u'v1'} self.mock_group_type_spec_set.return_value = None resp = self.client.post(create_url, data) self.assertNoFormErrors(resp) self.assertMessageCount(success=1) self.assertRedirectsNoFollow(resp, index_url) self.mock_group_type_spec_set.assert_called_once_with( test.IsHttpRequest(), group_type.id, {data['key']: data['value']}) @test.create_mocks({api.cinder: ('group_type_get', )}) def test_spec_create_get(self): group_type = self.cinder_group_types.first() create_url = reverse( 'horizon:admin:group_types:specs:create', args=[group_type.id]) self.mock_group_type_get.return_value = group_type resp = self.client.get(create_url) self.assertEqual(resp.status_code, 200) self.assertTemplateUsed( resp, 'admin/group_types/specs/create.html') self.mock_group_type_get.assert_called_once_with( test.IsHttpRequest(), group_type.id) @test.create_mocks({api.cinder: ('group_type_spec_list', 'group_type_spec_set',)}) def test_spec_edit(self): group_type = self.cinder_group_types.first() key = 'foo' edit_url = reverse('horizon:admin:group_types:specs:edit', args=[group_type.id, key]) index_url = reverse('horizon:admin:group_types:index') data = {'value': u'v1'} specs = {key: data['value']} self.mock_group_type_spec_list.return_value = specs self.mock_group_type_spec_set.return_value = None resp = self.client.post(edit_url, data) self.assertNoFormErrors(resp) self.assertMessageCount(success=1) self.assertRedirectsNoFollow(resp, index_url) self.mock_group_type_spec_list.assert_called_once_with( test.IsHttpRequest(), group_type.id, raw=True) self.mock_group_type_spec_set.assert_called_once_with( test.IsHttpRequest(), group_type.id, specs) @test.create_mocks({api.cinder: ('group_type_spec_list', 'group_type_spec_unset')}) def test_spec_delete(self): group_type = self.cinder_group_types.first() specs = [api.cinder.GroupTypeSpec(group_type.id, 'k1', 'v1')] formData = {'action': 'specs__delete__k1'} index_url = reverse('horizon:admin:group_types:specs:index', args=[group_type.id]) self.mock_group_type_spec_list.return_value = specs self.mock_group_type_spec_unset.return_value = group_type res = self.client.post(index_url, formData) redirect = reverse('horizon:admin:group_types:index') self.assertNoFormErrors(res) self.assertRedirectsNoFollow(res, redirect) self.mock_group_type_spec_list.assert_called_once_with( test.IsHttpRequest(), group_type.id) self.mock_group_type_spec_unset.assert_called_once_with( test.IsHttpRequest(), group_type.id, ['k1'])	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 366, 1122, 13, 29937, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 887, 1122, 4017, 13, 29937, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 418, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 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update.py	spascou/ps2.liquidwarp.net	4	81990	<gh_stars>1-10 import os from typing import Optional from generate import ( clean_bucket, clean_site, copy_misc, copy_statics, generate_css, generate_pages, update_all_data_files, upload_to_bucket, ) BUCKET_NAME = "ps2.liquidwarp.net" CENSUS_SERVICE_ID: Optional[str] = os.environ.get("CENSUS_SERVICE_ID") if not CENSUS_SERVICE_ID: raise ValueError("No CENSUS_SERVICE_ID envvar found") if __name__ == "__main__": import argparse parser = argparse.ArgumentParser() # Main action_group = parser.add_mutually_exclusive_group(required=True) action_group.add_argument("--update", action="store_true") action_group.add_argument("--upload", action="store_true") action_group.add_argument("--generate", action="store_true") action_group.add_argument("--copy-statics", action="store_true") action_group.add_argument("--copy-misc", action="store_true") action_group.add_argument("--generate-css", action="store_true") action_group.add_argument("--clean-local", action="store_true") action_group.add_argument("--clean-remote", action="store_true") # 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examples/example2.py	robinechuca/ContextPrinter	1	180408	#!/usr/bin/env python3 """ Example of a section shared between several methods and modules. Example2 is doing stuff █ Example1 is starting to do stuff █ █ Example1 is done doing stuff █ Example2 is done doing stuff """ from context_printer import ContextPrinter as Ctp from example1 import Example1 class Example2: def __init__(self): self.sub_routine = None def start_stuff(self): Ctp.enter_section("Example2 is doing stuff", color='blue') self.sub_routine = Example1() self.sub_routine.start_stuff() def end_stuff(self): self.sub_routine.end_stuff() Ctp.print("Example2 is done doing stuff") Ctp.exit_section() if __name__ == '__main__': ex = Example2() ex.start_stuff() ex.end_stuff()	[ 1, 18787, 4855, 29914, 2109, 29914, 6272, 3017, 29941, 13, 13, 15945, 29908, 13, 14023, 310, 263, 4004, 7258, 1546, 3196, 3519, 322, 10585, 29889, 13, 13, 14023, 29906, 338, 2599, 6433, 13, 30208, 8741, 29896, 338, 6257, 304, 437, 6433, 13, 30208, 29871, 30208, 8741, 29896, 338, 2309, 2599, 6433, 13, 30208, 8741, 29906, 338, 2309, 2599, 6433, 13, 15945, 29908, 13, 13, 3166, 3030, 29918, 558, 1639, 1053, 15228, 4040, 1639, 408, 315, 9392, 13, 3166, 1342, 29896, 1053, 8741, 29896, 13, 13, 13, 1990, 8741, 29906, 29901, 13, 1678, 822, 4770, 2344, 12035, 1311, 1125, 13, 4706, 1583, 29889, 1491, 29918, 14608, 457, 353, 6213, 13, 1678, 822, 1369, 29918, 303, 3096, 29898, 1311, 1125, 13, 4706, 315, 9392, 29889, 5893, 29918, 2042, 703, 14023, 29906, 338, 2599, 6433, 613, 2927, 2433, 9539, 1495, 13, 4706, 1583, 29889, 1491, 29918, 14608, 457, 353, 8741, 29896, 580, 13, 4706, 1583, 29889, 1491, 29918, 14608, 457, 29889, 2962, 29918, 303, 3096, 580, 13, 1678, 822, 1095, 29918, 303, 3096, 29898, 1311, 1125, 13, 4706, 1583, 29889, 1491, 29918, 14608, 457, 29889, 355, 29918, 303, 3096, 580, 13, 4706, 315, 9392, 29889, 2158, 703, 14023, 29906, 338, 2309, 2599, 6433, 1159, 13, 4706, 315, 9392, 29889, 13322, 29918, 2042, 580, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 429, 353, 8741, 29906, 580, 13, 1678, 429, 29889, 2962, 29918, 303, 3096, 580, 13, 1678, 429, 29889, 355, 29918, 303, 3096, 580, 13, 2 ]
code/test.py	saedrna/DA-U-Net	7	135560	<gh_stars>1-10 # -- coding: utf-8 -- """ Created on Mon Jan 14 2020 @author: Chenlin """ import os import cv2 import numpy as np import tensorflow as tf from model import da_u_net # os.environ["CUDA_VISIBLE_DEVICES"] = "3" # if test image size= 512* 512, size= 512 over_lap= 0 # if test image size=10241024, size=1024 over_lap= 0 # if test image size>10241024, size= 512 over_lap=256 batch_size=1 size = 512 over_lap = 256 img=tf.placeholder(tf.float32,[batch_size,size,size,3]) pred = tf.nn.sigmoid(da_u_net(img,is_training=False)) saver = tf.train.Saver(var_list=tf.global_variables()) img_path = '../data/img/test.tif' pre_path = '../results/pre.tif' def restore_model(): tf.global_variables_initializer().run() checkpoint_dir = '../data/checkpoint/' ckpt = tf.train.get_checkpoint_state(checkpoint_dir) if ckpt and ckpt.model_checkpoint_path: ckpt_name = os.path.basename(ckpt.model_checkpoint_path) saver.restore(sess, os.path.join(checkpoint_dir, ckpt_name)) def total_image_predict(ori_image_path): restore_model() print('Loading Checkpoint Success !') ori_image = np.uint8(cv2.imread(ori_image_path)) print(ori_image.shape) ori_image = ori_image[..., 0:3] print(ori_image.shape) print('Start to cutting {}'.format(ori_image_path)) image_list = [] predict_list = [] oh,ow=ori_image.shape[0],ori_image.shape[1] dert=size-over_lap h_n=(oh - size) // dert h_step=h_n+1 w_n=(ow - size) // dert w_step=w_n+1 h_rest=oh-size-h_ndert w_rest=ow-size-w_ndert for h in range(h_step): for w in range(w_step): image_sample=ori_image[(h * dert):(h * dert + size), (w * dert):(w * dert + size), :] image_list.append(image_sample) image_list.append(ori_image[(h * dert):(h * dert + size), -size:, :]) for w in range(w_step): image_list.append(ori_image[-size:, (w * dert):(w * dert + size), :]) image_list.append(ori_image[-size:, -size:, :]) print(len(image_list)) print('Start to predict {}'.format(ori_image_path)) for x_batch1 in image_list: x_batch = np.expand_dims(x_batch1, axis=0) / 255.0 predict = sess.run(pred, feed_dict={img: x_batch}) predict = np.squeeze(predict) predict[predict > 0.5] = 1 predict[predict <= 0.5] = 0 predict_list.append(predict) count_temp = 0 tmp = np.ones([ori_image.shape[0], ori_image.shape[1]]).astype(np.uint8) big_w = size - over_lap // 2 small_w=over_lap//2 print('Start to cut {}'.format(ori_image_path)) for h in range(h_step): for w in range(w_step): if h==0 or h==h_step-1: dh=size-over_lap//2 else: dh=dert if w==0 or w==w_step-1: dw=size-over_lap//2 else: dw=dert tmp[(h-1) * over_lap+(big_w if h>0 else over_lap):(h-1) * over_lap+(big_w if h>0 else over_lap)+dh, (w-1)* over_lap+(big_w if w>0 else over_lap):(w-1)* over_lap+(big_w if w>0 else over_lap)+dw] \ = predict_list[count_temp][small_wint(h>0):dh+small_wint(h>0),small_wint(w>0):dw+small_wint(w>0)] count_temp += 1 tmp[(h-1) * over_lap + (big_w if h>0 else over_lap):(h-1) * over_lap + (big_w if h>0 else over_lap)+dh, -w_rest:] \ = predict_list[count_temp][small_w if h>0 else 0:(small_w if h>0 else 0)+dh, -w_rest:] count_temp += 1 for w in range(w_step): tmp[-h_rest:, (w-1) * over_lap + (big_w if h>0 else over_lap):(w-1) * over_lap + (big_w if h>0 else over_lap)+dw] \ = predict_list[count_temp][-h_rest:,small_w if w>0 else 0:+(small_w if w>0 else 0)+dw] count_temp += 1 tmp[-h_rest:, -w_rest:] = predict_list[count_temp][-h_rest:, -w_rest:] tmp[tmp==1]=255 cv2.imwrite(pre_path, tmp) with tf.Session() as sess: total_image_predict(img_path)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 15945, 29908, 13, 20399, 373, 2598, 2627, 29871, 29896, 29946, 29871, 29906, 29900, 29906, 29900, 13, 13, 29992, 8921, 29901, 21589, 1915, 13, 15945, 29908, 13, 5215, 2897, 13, 5215, 13850, 29906, 13, 5215, 12655, 408, 7442, 13, 13, 5215, 26110, 408, 15886, 13, 3166, 1904, 1053, 1146, 29918, 29884, 29918, 1212, 13, 29937, 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examples/wait_for_tokens.py	tarunbhardwaj/limitlion	17	169539	<filename>examples/wait_for_tokens.py<gh_stars>10-100 #!/usr/bin/env python """ Waiting throttle example. Uses the throttle_wait helper that will sleep until work is allowed. """ import datetime import redis from limitlion import throttle_configure, throttle_wait redis = redis.Redis('localhost', 6379) throttle_configure(redis) throttle = throttle_wait('test_wait', rps=5) while True: # May sleep forever if tokens never become available throttle() print('{} Doing work'.format(datetime.datetime.now()))	[ 1, 529, 9507, 29958, 19057, 29914, 10685, 29918, 1454, 29918, 517, 12360, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29900, 29899, 29896, 29900, 29900, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 13, 15945, 29908, 13, 15716, 292, 20961, 698, 280, 1342, 29889, 13, 13, 15922, 267, 278, 20961, 698, 280, 29918, 10685, 16876, 393, 674, 8709, 2745, 664, 338, 6068, 29889, 13, 15945, 29908, 13, 13, 5215, 12865, 13, 13, 5215, 29825, 13, 13, 3166, 4046, 29880, 291, 1053, 20961, 698, 280, 29918, 17591, 29892, 20961, 698, 280, 29918, 10685, 13, 13, 1127, 275, 353, 29825, 29889, 9039, 275, 877, 7640, 742, 29871, 29953, 29941, 29955, 29929, 29897, 13, 13, 386, 26970, 280, 29918, 17591, 29898, 1127, 275, 29897, 13, 386, 26970, 280, 353, 20961, 698, 280, 29918, 10685, 877, 1688, 29918, 10685, 742, 364, 567, 29922, 29945, 29897, 13, 13, 8000, 5852, 29901, 13, 1678, 396, 2610, 8709, 22296, 565, 18897, 2360, 4953, 3625, 13, 1678, 20961, 698, 280, 580, 13, 1678, 1596, 877, 8875, 1938, 292, 664, 4286, 4830, 29898, 12673, 29889, 12673, 29889, 3707, 22130, 13, 2 ]
hio-yocto-bsp/sources/poky/scripts/lib/mic/3rdparty/pykickstart/commands/group.py	qiangzai00001/hio-prj	0	101839	# # <NAME> <<EMAIL>> # # Copyright 2009 Red Hat, Inc. # # This copyrighted material is made available to anyone wishing to use, modify, # copy, or redistribute it subject to the terms and conditions of the GNU # General Public License v.2. This program is distributed in the hope that it # will be useful, but WITHOUT ANY WARRANTY expressed or implied, including the # implied warranties of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. # See the GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along with # this program; if not, write to the Free Software Foundation, Inc., 51 # Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. Any Red Hat # trademarks that are incorporated in the source code or documentation are not # subject to the GNU General Public License and may only be used or replicated # with the express permission of Red Hat, Inc. # from pykickstart.base import * from pykickstart.constants import * from pykickstart.errors import * from pykickstart.options import * import gettext import warnings _ = lambda x: gettext.ldgettext("pykickstart", x) class F12_GroupData(BaseData): removedKeywords = BaseData.removedKeywords removedAttrs = BaseData.removedAttrs def __init__(self, args, kwargs): BaseData.__init__(self, args, *kwargs) self.name = kwargs.get("name", "") self.gid = kwargs.get("gid", None) def __eq__(self, y): return self.name == y.name def __str__(self): retval = BaseData.__str__(self) retval += "group" if self.name: retval += " --name=%s" % self.name if self.gid: retval += " --gid=%s" % self.gid return retval + "\n" class F12_Group(KickstartCommand): removedKeywords = KickstartCommand.removedKeywords removedAttrs = KickstartCommand.removedAttrs def __init__(self, writePriority=0, args, *kwargs): KickstartCommand.__init__(self, writePriority, args, **kwargs) self.op = self._getParser() self.groupList = kwargs.get("groupList", []) def __str__(self): retval = "" for user in self.groupList: retval += user.__str__() return retval def _getParser(self): op = KSOptionParser() op.add_option("--name", required=1) op.add_option("--gid", type="int") return op def parse(self, args): gd = self.handler.GroupData() (opts, extra) = self.op.parse_args(args=args, lineno=self.lineno) self._setToObj(self.op, opts, gd) gd.lineno = self.lineno # Check for duplicates in the data list. if gd in self.dataList(): warnings.warn(_("A group with the name %s has already been defined.") % gd.name) return gd def dataList(self): return self.groupList	[ 1, 396, 13, 29937, 529, 5813, 29958, 3532, 26862, 6227, 6778, 13, 29937, 13, 29937, 14187, 1266, 29871, 29906, 29900, 29900, 29929, 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month02/day11/exer_tcp_server2.py	Amiao-miao/all-codes	1	106191	""" 练习4：自动对话客户端可以向服务端发送问题服务端扮演机器客服角色，根据客户端的提问回复相应的答案要求可以同时多个客户端提问 """ from socket import * qus_dict={ "你好":"你好啊", "叫什么":"我叫小美", "几岁":"我2岁啦", "男生女生":"我是机器人" } def response(connfd): data = connfd.recv(1024).decode() #遍历字典，查看关键词是否在问题中 for key in qus_dict: if key in data: connfd.send(qus_dict[key].encode()) break else: connfd.send("人家还小，不知道啦".encode()) connfd.close() def main(): tcp_socket=socket() tcp_socket.bind(("0.0.0.0",8888)) tcp_socket.listen(5) while True: connfd,addr=tcp_socket.accept() response(connfd) if __name__ == '__main__': main()	[ 1, 9995, 13, 234, 190, 134, 231, 188, 163, 29946, 30383, 29871, 30688, 30846, 30783, 31852, 13, 31915, 31229, 234, 174, 178, 30682, 30651, 31331, 31520, 31358, 234, 174, 178, 30910, 31545, 31658, 31596, 13, 31520, 31358, 234, 174, 178, 233, 140, 177, 233, 191, 151, 31429, 30943, 31915, 31520, 31432, 31085, 30214, 31393, 30763, 31915, 31229, 234, 174, 178, 30210, 31302, 31658, 13, 30742, 31810, 30990, 31370, 30210, 234, 176, 151, 233, 164, 139, 13, 30698, 31376, 30682, 30651, 30980, 30594, 30923, 30502, 31915, 31229, 234, 174, 178, 31302, 31658, 13, 15945, 29908, 13, 3166, 9909, 1053, 334, 13, 13, 339, 29879, 29918, 8977, 3790, 13, 1678, 376, 30919, 31076, 4710, 30919, 31076, 232, 152, 141, 613, 13, 1678, 376, 232, 146, 174, 231, 190, 131, 31882, 4710, 30672, 232, 146, 174, 30446, 30630, 613, 13, 1678, 376, 232, 138, 163, 232, 181, 132, 4710, 30672, 29906, 232, 181, 132, 232, 152, 169, 613, 13, 1678, 376, 31203, 30486, 30647, 30486, 4710, 30672, 30392, 31429, 30943, 30313, 29908, 13, 29913, 13, 13, 1753, 2933, 29898, 13082, 11512, 1125, 13, 1678, 848, 353, 11009, 11512, 29889, 3757, 29894, 29898, 29896, 29900, 29906, 29946, 467, 13808, 580, 13, 1678, 396, 236, 132, 144, 232, 145, 137, 30578, 31259, 30214, 31213, 31811, 31057, 236, 151, 177, 235, 178, 144, 30392, 31191, 30505, 31658, 31596, 30275, 13, 1678, 363, 1820, 297, 439, 29879, 29918, 8977, 29901, 13, 4706, 565, 1820, 297, 848, 29901, 13, 9651, 11009, 11512, 29889, 6717, 29898, 339, 29879, 29918, 8977, 29961, 1989, 1822, 12508, 3101, 13, 9651, 2867, 13, 1678, 1683, 29901, 13, 4706, 11009, 11512, 29889, 6717, 703, 30313, 30613, 31994, 30446, 30214, 30413, 31043, 30397, 232, 152, 169, 1642, 12508, 3101, 13, 1678, 11009, 11512, 29889, 5358, 580, 13, 13, 1753, 1667, 7295, 13, 1678, 22729, 29918, 11514, 29922, 11514, 580, 13, 1678, 22729, 29918, 11514, 29889, 5355, 29898, 703, 29900, 29889, 29900, 29889, 29900, 29889, 29900, 613, 29947, 29947, 29947, 29947, 876, 13, 1678, 22729, 29918, 11514, 29889, 20631, 29898, 29945, 29897, 13, 13, 1678, 1550, 5852, 29901, 13, 4706, 11009, 11512, 29892, 10030, 29922, 23981, 29918, 11514, 29889, 16044, 580, 13, 4706, 2933, 29898, 13082, 11512, 29897, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 1667, 580, 2 ]
src/baseboard/helpers.py	cmheisel/django-baseboard	1	155118	"""Common functions shared across the baseboard project.""" import socket from baseboard.models import Project, RSSFeed def run_instance_update_method(queryset, method_name, debug, timeout=20): """Loops through every object in queryset, and calls method_name. If debug is true, it prints error messages to stdout Optional timeout value is used to keep long-running network operations from stalling the entire process. """ exceptions = [] error_msgs = [] old_timeout = socket.getdefaulttimeout() #Be kind socket.setdefaulttimeout(float(timeout)) for obj in queryset: method = getattr(obj, method_name) try: if debug == 2: print "Updating %s" % (obj, ) method() if hasattr(obj, 'update_error'): obj.update_error = '' obj.save() except Exception, err: if hasattr(obj, 'update_error'): obj.update_error = str(err) obj.save() msg = "ERROR updating %s => %s" % (obj, str(err)) if debug == 2: print msg exceptions.append(err) error_msgs.append(msg) socket.setdefaulttimeout(old_timeout) #Rewind if error_msgs and debug: print '\n'.join(error_msgs) if exceptions: return False return True def update_summaries(debug, timeout=20): """Calls update_summary on all Project objects in the database.""" return run_instance_update_method(Project.objects.all(), 'update_summary', debug, timeout) def update_feeds(debug, timeout=20): """Calls update_feed on all RSSFeed objects in the database.""" return run_instance_update_method(RSSFeed.objects.all(), 'update_feed', debug, timeout)	[ 1, 9995, 18877, 3168, 7258, 4822, 278, 2967, 3377, 2060, 1213, 15945, 13, 5215, 9909, 13, 13, 3166, 2967, 3377, 29889, 9794, 1053, 8010, 29892, 390, 1799, 29737, 13, 13, 1753, 1065, 29918, 8758, 29918, 5504, 29918, 5696, 29898, 1972, 842, 29892, 1158, 29918, 978, 29892, 4744, 29892, 11815, 29922, 29906, 29900, 1125, 13, 1678, 9995, 3410, 3554, 1549, 1432, 1203, 297, 2346, 842, 29892, 322, 5717, 1158, 29918, 978, 29889, 13, 1678, 960, 4744, 338, 1565, 29892, 372, 14677, 1059, 7191, 304, 27591, 13, 1678, 28379, 11815, 995, 338, 1304, 304, 3013, 1472, 29899, 21094, 3564, 6931, 515, 380, 27855, 13, 1678, 278, 4152, 1889, 29889, 13, 1678, 9995, 13, 13, 1678, 15283, 353, 5159, 13, 1678, 1059, 29918, 1516, 3174, 353, 5159, 13, 1678, 13, 1678, 2030, 29918, 15619, 353, 9909, 29889, 657, 4381, 15619, 580, 396, 3629, 2924, 13, 1678, 9909, 29889, 842, 4381, 15619, 29898, 7411, 29898, 15619, 876, 13, 1678, 363, 5446, 297, 2346, 842, 29901, 13, 4706, 1158, 353, 679, 5552, 29898, 5415, 29892, 1158, 29918, 978, 29897, 13, 4706, 1018, 29901, 13, 9651, 565, 4744, 1275, 29871, 29906, 29901, 13, 18884, 1596, 376, 3373, 26747, 1273, 29879, 29908, 1273, 313, 5415, 29892, 1723, 13, 9651, 1158, 580, 13, 9651, 565, 756, 5552, 29898, 5415, 29892, 525, 5504, 29918, 2704, 29374, 13, 18884, 5446, 29889, 5504, 29918, 2704, 353, 6629, 13, 18884, 5446, 29889, 7620, 580, 13, 4706, 5174, 8960, 29892, 4589, 29901, 13, 9651, 565, 756, 5552, 29898, 5415, 29892, 525, 5504, 29918, 2704, 29374, 13, 18884, 5446, 29889, 5504, 29918, 2704, 353, 851, 29898, 3127, 29897, 13, 18884, 5446, 29889, 7620, 580, 13, 13, 9651, 10191, 353, 376, 11432, 13271, 1273, 29879, 1149, 1273, 29879, 29908, 1273, 313, 5415, 29892, 851, 29898, 3127, 876, 13, 9651, 565, 4744, 1275, 29871, 29906, 29901, 13, 18884, 1596, 10191, 13, 9651, 15283, 29889, 4397, 29898, 3127, 29897, 13, 9651, 1059, 29918, 1516, 3174, 29889, 4397, 29898, 7645, 29897, 13, 13, 1678, 9909, 29889, 842, 4381, 15619, 29898, 1025, 29918, 15619, 29897, 396, 29934, 809, 513, 13, 13, 1678, 565, 1059, 29918, 1516, 3174, 322, 4744, 29901, 13, 4706, 1596, 11297, 29876, 4286, 7122, 29898, 2704, 29918, 1516, 3174, 29897, 13, 308, 13, 1678, 565, 15283, 29901, 13, 4706, 736, 7700, 13, 13, 1678, 736, 5852, 13, 13, 1753, 2767, 29918, 2083, 3034, 583, 29898, 8382, 29892, 11815, 29922, 29906, 29900, 1125, 13, 1678, 9995, 29907, 4293, 2767, 29918, 7727, 373, 599, 8010, 3618, 297, 278, 2566, 1213, 15945, 13, 1678, 736, 1065, 29918, 8758, 29918, 5504, 29918, 5696, 29898, 7653, 29889, 12650, 29889, 497, 3285, 525, 5504, 29918, 7727, 742, 4744, 29892, 11815, 29897, 13, 13, 1753, 2767, 29918, 1725, 5779, 29898, 8382, 29892, 11815, 29922, 29906, 29900, 1125, 13, 1678, 9995, 29907, 4293, 2767, 29918, 18798, 373, 599, 390, 1799, 29737, 3618, 297, 278, 2566, 1213, 15945, 13, 1678, 736, 1065, 29918, 8758, 29918, 5504, 29918, 5696, 29898, 29934, 1799, 29737, 29889, 12650, 29889, 497, 3285, 525, 5504, 29918, 18798, 742, 4744, 29892, 11815, 29897, 13, 2 ]
114_Flatten_Binary_Tree_to_Linked_List.py	joshlyman/Josh-LeetCode	0	190037	<reponame>joshlyman/Josh-LeetCode # refer from: # https://leetcode.com/problems/flatten-binary-tree-to-linked-list/solution/ # 2. Iterative Morris traversal class Solution: def flatten(self, root: TreeNode) -> None: """ Do not return anything, modify root in-place instead. """ # Handle the null scenario if not root: return None node = root while node: # If the node has a left child if node.left: # Find the rightmost node rightmost = node.left while rightmost.right: rightmost = rightmost.right # rewire the connections rightmost.right = node.right node.right = node.left node.left = None # move on to the right side of the tree node = node.right # Time: O(N) # Space:O(1) # 3.Use reversed preorder traversal # find rightmost node first, then back to left from bottom to top # preorder is root -> left -> right, here is right -> left -> root def __init__(self): self.prev = None def flatten(self, root): if not root: return None self.flatten(root.right) self.flatten(root.left) root.right = self.prev root.left = None self.prev = root # Time: O(N) # Space:O(1)	[ 1, 529, 276, 1112, 420, 29958, 29926, 10578, 368, 1171, 29914, 29967, 10578, 29899, 3226, 300, 3399, 13, 29937, 2737, 515, 29901, 13, 29937, 2045, 597, 280, 300, 401, 29889, 510, 29914, 17199, 29879, 29914, 1579, 8606, 29899, 19541, 29899, 8336, 29899, 517, 29899, 2324, 287, 29899, 1761, 29914, 2929, 918, 29914, 13, 13, 29937, 29871, 29906, 29889, 20504, 1230, 23112, 13310, 284, 259, 13, 1990, 24380, 29901, 13, 268, 13, 1678, 822, 1652, 8606, 29898, 1311, 29892, 3876, 29901, 15472, 4247, 29897, 1599, 6213, 29901, 13, 4706, 9995, 13, 4706, 1938, 451, 736, 3099, 29892, 6623, 3876, 297, 29899, 6689, 2012, 29889, 13, 4706, 9995, 13, 308, 13, 4706, 396, 29273, 278, 1870, 10483, 13, 4706, 565, 451, 3876, 29901, 13, 9651, 736, 6213, 13, 308, 13, 4706, 2943, 353, 3876, 13, 4706, 1550, 2943, 29901, 13, 632, 13, 9651, 396, 960, 278, 2943, 756, 263, 2175, 2278, 13, 9651, 565, 2943, 29889, 1563, 29901, 13, 462, 13, 18884, 396, 10987, 278, 1492, 3242, 2943, 13, 18884, 1492, 3242, 353, 2943, 29889, 1563, 13, 18884, 1550, 1492, 3242, 29889, 1266, 29901, 13, 462, 1678, 1492, 3242, 353, 1492, 3242, 29889, 1266, 13, 462, 13, 18884, 396, 337, 22376, 278, 12368, 13, 18884, 1492, 3242, 29889, 1266, 353, 2943, 29889, 1266, 13, 18884, 2943, 29889, 1266, 353, 2943, 29889, 1563, 13, 18884, 2943, 29889, 1563, 353, 6213, 13, 632, 13, 9651, 396, 4337, 373, 304, 278, 1492, 2625, 310, 278, 5447, 13, 9651, 2943, 353, 2943, 29889, 1266, 13, 13, 29937, 5974, 29901, 438, 29898, 29940, 29897, 13, 29937, 14121, 29901, 29949, 29898, 29896, 29897, 965, 13, 13, 29937, 29871, 29941, 29889, 11403, 18764, 287, 758, 2098, 13310, 284, 29871, 13, 29937, 1284, 1492, 3242, 2943, 937, 29892, 769, 1250, 304, 2175, 515, 5970, 304, 2246, 13, 29937, 758, 2098, 338, 3876, 1599, 2175, 1599, 1492, 29892, 1244, 338, 1492, 1599, 2175, 1599, 3876, 29871, 13, 13, 1753, 4770, 2344, 12035, 1311, 1125, 13, 1678, 1583, 29889, 16304, 353, 6213, 13, 268, 13, 1753, 1652, 8606, 29898, 1311, 29892, 3876, 1125, 13, 1678, 565, 451, 3876, 29901, 13, 4706, 736, 6213, 13, 1678, 1583, 29889, 1579, 8606, 29898, 4632, 29889, 1266, 29897, 13, 1678, 1583, 29889, 1579, 8606, 29898, 4632, 29889, 1563, 29897, 13, 268, 13, 1678, 3876, 29889, 1266, 353, 1583, 29889, 16304, 13, 1678, 3876, 29889, 1563, 353, 6213, 13, 1678, 1583, 29889, 16304, 353, 3876, 13, 13, 13, 13, 29937, 5974, 29901, 438, 29898, 29940, 29897, 13, 29937, 14121, 29901, 29949, 29898, 29896, 29897, 2 ]
qbot/plugins/cmc_xkcd.py	landmaj/qbot	3	113871	import logging from qbot.core import registry from qbot.db import plugin_storage from qbot.message import Image, OutgoingMessage, Text, send_message from qbot.plugins.cmc import comic PLUGIN_NAME = "xkcd" LATEST_COMIC_KEY = "latest_comic" logger = logging.getLogger(__name__) @comic async def xkcd(): last_seen_comic = await registry.database.fetch_val( plugin_storage.select().where( (plugin_storage.c.plugin == PLUGIN_NAME) & (plugin_storage.c.key == LATEST_COMIC_KEY) ), column=plugin_storage.c.data, ) try: resp = await registry.http_client.get("https://xkcd.com/info.0.json") except Exception: logger.exception("Failed to retrieve latest XKCD comic.") return if not 200 <= resp.status_code < 400: logger.error(f"Incorrect response from XKCD. Status: {resp.status_code}") return data = resp.json() if data["num"] != last_seen_comic: thread_ts = await send_message( OutgoingMessage( channel=registry.CHANNEL_COMICS, thread_ts=None, blocks=[ Text(f"https://xkcd.com - {data['safe_title']}"), Image(image_url=data["img"], alt_text="XKCD"), ], ) ) await send_message( OutgoingMessage( channel=registry.CHANNEL_COMICS, thread_ts=thread_ts, blocks=[Text(data["alt"])], ) ) if last_seen_comic is None: await registry.database.execute( plugin_storage.insert(), values={ "plugin": PLUGIN_NAME, "key": LATEST_COMIC_KEY, "data": data["num"], }, ) else: await registry.database.execute( plugin_storage.update().where( (plugin_storage.c.plugin == PLUGIN_NAME) & (plugin_storage.c.key == LATEST_COMIC_KEY) ), values={"data": data["num"]}, )	[ 1, 1053, 12183, 13, 13, 3166, 3855, 7451, 29889, 3221, 1053, 21235, 13, 3166, 3855, 7451, 29889, 2585, 1053, 7079, 29918, 12925, 13, 3166, 3855, 7451, 29889, 4906, 1053, 7084, 29892, 4451, 17696, 3728, 29892, 3992, 29892, 3638, 29918, 4906, 13, 3166, 3855, 7451, 29889, 12800, 29889, 4912, 29883, 1053, 419, 293, 13, 13, 7390, 23338, 1177, 29918, 5813, 353, 376, 29916, 29895, 2252, 29908, 13, 29931, 3040, 1254, 29918, 19795, 2965, 29918, 10818, 353, 376, 12333, 29918, 510, 293, 29908, 13, 13, 21707, 353, 12183, 29889, 657, 16363, 22168, 978, 1649, 29897, 13, 13, 13, 29992, 510, 293, 13, 12674, 822, 921, 29895, 2252, 7295, 13, 1678, 1833, 29918, 28026, 29918, 510, 293, 353, 7272, 21235, 29889, 9803, 29889, 9155, 29918, 791, 29898, 13, 4706, 7079, 29918, 12925, 29889, 2622, 2141, 3062, 29898, 13, 9651, 313, 8582, 29918, 12925, 29889, 29883, 29889, 8582, 1275, 16507, 23338, 1177, 29918, 5813, 29897, 13, 9651, 669, 313, 8582, 29918, 12925, 29889, 29883, 29889, 1989, 1275, 365, 3040, 1254, 29918, 19795, 2965, 29918, 10818, 29897, 13, 4706, 10353, 13, 4706, 1897, 29922, 8582, 29918, 12925, 29889, 29883, 29889, 1272, 29892, 13, 1678, 1723, 13, 1678, 1018, 29901, 13, 4706, 4613, 353, 7272, 21235, 29889, 1124, 29918, 4645, 29889, 657, 703, 991, 597, 29916, 29895, 2252, 29889, 510, 29914, 3888, 29889, 29900, 29889, 3126, 1159, 13, 1678, 5174, 8960, 29901, 13, 4706, 17927, 29889, 11739, 703, 17776, 304, 10563, 9281, 1060, 29968, 6530, 419, 293, 23157, 13, 4706, 736, 13, 1678, 565, 451, 29871, 29906, 29900, 29900, 5277, 4613, 29889, 4882, 29918, 401, 529, 29871, 29946, 29900, 29900, 29901, 13, 4706, 17927, 29889, 2704, 29898, 29888, 29908, 797, 15728, 2933, 515, 1060, 29968, 6530, 29889, 16034, 29901, 426, 13713, 29889, 4882, 29918, 401, 27195, 13, 4706, 736, 13, 1678, 848, 353, 4613, 29889, 3126, 580, 13, 1678, 565, 848, 3366, 1949, 3108, 2804, 1833, 29918, 28026, 29918, 510, 293, 29901, 13, 4706, 3244, 29918, 1372, 353, 7272, 3638, 29918, 4906, 29898, 13, 9651, 4451, 17696, 3728, 29898, 13, 18884, 8242, 29922, 1727, 6020, 29889, 3210, 2190, 29940, 6670, 29918, 19795, 2965, 29903, 29892, 13, 18884, 3244, 29918, 1372, 29922, 8516, 29892, 13, 18884, 10930, 11759, 13, 462, 1678, 3992, 29898, 29888, 29908, 991, 597, 29916, 29895, 2252, 29889, 510, 448, 426, 1272, 1839, 11177, 29918, 3257, 2033, 29913, 4968, 13, 462, 1678, 7084, 29898, 3027, 29918, 2271, 29922, 1272, 3366, 2492, 12436, 5272, 29918, 726, 543, 29990, 29968, 6530, 4968, 13, 18884, 21251, 13, 9651, 1723, 13, 4706, 1723, 13, 4706, 7272, 3638, 29918, 4906, 29898, 13, 9651, 4451, 17696, 3728, 29898, 13, 18884, 8242, 29922, 1727, 6020, 29889, 3210, 2190, 29940, 6670, 29918, 19795, 2965, 29903, 29892, 13, 18884, 3244, 29918, 1372, 29922, 7097, 29918, 1372, 29892, 13, 18884, 10930, 11759, 1626, 29898, 1272, 3366, 1997, 20068, 1402, 13, 9651, 1723, 13, 4706, 1723, 13, 4706, 565, 1833, 29918, 28026, 29918, 510, 293, 338, 6213, 29901, 13, 9651, 7272, 21235, 29889, 9803, 29889, 7978, 29898, 13, 18884, 7079, 29918, 12925, 29889, 7851, 3285, 13, 18884, 1819, 3790, 13, 462, 1678, 376, 8582, 1115, 16507, 23338, 1177, 29918, 5813, 29892, 13, 462, 1678, 376, 1989, 1115, 365, 3040, 1254, 29918, 19795, 2965, 29918, 10818, 29892, 13, 462, 1678, 376, 1272, 1115, 848, 3366, 1949, 12436, 13, 18884, 2981, 13, 9651, 1723, 13, 4706, 1683, 29901, 13, 9651, 7272, 21235, 29889, 9803, 29889, 7978, 29898, 13, 18884, 7079, 29918, 12925, 29889, 5504, 2141, 3062, 29898, 13, 462, 1678, 313, 8582, 29918, 12925, 29889, 29883, 29889, 8582, 1275, 16507, 23338, 1177, 29918, 5813, 29897, 13, 462, 1678, 669, 313, 8582, 29918, 12925, 29889, 29883, 29889, 1989, 1275, 365, 3040, 1254, 29918, 19795, 2965, 29918, 10818, 29897, 13, 18884, 10353, 13, 18884, 1819, 3790, 29908, 1272, 1115, 848, 3366, 1949, 3108, 1118, 13, 9651, 1723, 13, 2 ]
django_de/news/views.py	django-de/django-de-v3	1	157746	<filename>django_de/news/views.py<gh_stars>1-10 from django.db.models.query import Q from django.http import HttpResponseRedirect from django.shortcuts import render, get_object_or_404 from . import models def news_list(request, year=None, month=None, day=None): """ A simple index view that can be restricted to a certain year, year+month or year+month+day. """ query = models.NewsItem.objects filter_ = Q() if year is not None: filter_ &= Q(pub_date__year=int(year)) if month is not None: filter_ &= Q(pub_date__month=int(month)) if day is not None: filter_ &= Q(pub_date__day=int(day)) if filter_ is not None: query = query.filter(filter_) return render(request, 'news/list.html', { 'object_list': query, 'months': models.NewsItem.objects.dates('pub_date', 'month', order='DESC'), }) def news_detail(request, pk, slug=None): """ Presents a single newsitem. """ item = get_object_or_404(models.NewsItem.objects, pk=pk) return render(request, 'news/detail.html', { 'object': item, }) def news_shortcut(request, pk): item = get_object_or_404(models.NewsItem.objects, pk=pk) return HttpResponseRedirect(item.get_absolute_url())	[ 1, 529, 9507, 29958, 14095, 29918, 311, 29914, 15753, 29914, 7406, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 3166, 9557, 29889, 2585, 29889, 9794, 29889, 1972, 1053, 660, 13, 3166, 9557, 29889, 1124, 1053, 9056, 5103, 24735, 13, 3166, 9557, 29889, 12759, 7582, 29879, 1053, 4050, 29892, 679, 29918, 3318, 29918, 272, 29918, 29946, 29900, 29946, 13, 13, 3166, 869, 1053, 4733, 13, 13, 13, 1753, 9763, 29918, 1761, 29898, 3827, 29892, 1629, 29922, 8516, 29892, 4098, 29922, 8516, 29892, 2462, 29922, 8516, 1125, 13, 1678, 9995, 13, 1678, 319, 2560, 2380, 1776, 393, 508, 367, 22078, 304, 263, 3058, 1629, 29892, 1629, 29974, 10874, 470, 13, 1678, 1629, 29974, 10874, 29974, 3250, 29889, 13, 1678, 9995, 13, 1678, 2346, 353, 4733, 29889, 29328, 2001, 29889, 12650, 13, 1678, 4175, 29918, 353, 660, 580, 13, 1678, 565, 1629, 338, 451, 6213, 29901, 13, 4706, 4175, 29918, 7878, 660, 29898, 5467, 29918, 1256, 1649, 6360, 29922, 524, 29898, 6360, 876, 13, 1678, 565, 4098, 338, 451, 6213, 29901, 13, 4706, 4175, 29918, 7878, 660, 29898, 5467, 29918, 1256, 1649, 10874, 29922, 524, 29898, 10874, 876, 13, 1678, 565, 2462, 338, 451, 6213, 29901, 13, 4706, 4175, 29918, 7878, 660, 29898, 5467, 29918, 1256, 1649, 3250, 29922, 524, 29898, 3250, 876, 13, 1678, 565, 4175, 29918, 338, 451, 6213, 29901, 13, 4706, 2346, 353, 2346, 29889, 4572, 29898, 4572, 19925, 13, 13, 1678, 736, 4050, 29898, 3827, 29892, 525, 15753, 29914, 1761, 29889, 1420, 742, 426, 13, 4706, 525, 3318, 29918, 1761, 2396, 2346, 29892, 13, 4706, 525, 10874, 29879, 2396, 4733, 29889, 29328, 2001, 29889, 12650, 29889, 15190, 877, 5467, 29918, 1256, 742, 525, 10874, 742, 13, 462, 462, 18884, 1797, 2433, 2287, 7187, 5477, 13, 1678, 5615, 13, 13, 13, 1753, 9763, 29918, 16432, 29898, 3827, 29892, 282, 29895, 29892, 2243, 688, 29922, 8516, 1125, 13, 1678, 9995, 13, 1678, 4360, 1237, 263, 2323, 9763, 667, 29889, 13, 1678, 9995, 13, 1678, 2944, 353, 679, 29918, 3318, 29918, 272, 29918, 29946, 29900, 29946, 29898, 9794, 29889, 29328, 2001, 29889, 12650, 29892, 282, 29895, 29922, 20571, 29897, 13, 13, 1678, 736, 4050, 29898, 3827, 29892, 525, 15753, 29914, 16432, 29889, 1420, 742, 426, 13, 4706, 525, 3318, 2396, 2944, 29892, 13, 1678, 5615, 13, 13, 13, 1753, 9763, 29918, 12759, 7582, 29898, 3827, 29892, 282, 29895, 1125, 13, 1678, 2944, 353, 679, 29918, 3318, 29918, 272, 29918, 29946, 29900, 29946, 29898, 9794, 29889, 29328, 2001, 29889, 12650, 29892, 282, 29895, 29922, 20571, 29897, 13, 1678, 736, 9056, 5103, 24735, 29898, 667, 29889, 657, 29918, 23552, 29918, 2271, 3101, 13, 2 ]
sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/models/operation_status.py	pjquirk/azure-sdk-for-python	1	64917	# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- from msrest.serialization import Model class OperationStatus(Model): """Operation status object. Operation refers to the asynchronous backend task including taking a snapshot and applying a snapshot. All required parameters must be populated in order to send to Azure. :param status: Required. Operation status: notstarted, running, succeeded, failed. If the operation is requested and waiting to perform, the status is notstarted. If the operation is ongoing in backend, the status is running. Status succeeded means the operation is completed successfully, specifically for snapshot taking operation, it illustrates the snapshot is well taken and ready to apply, and for snapshot applying operation, it presents the target object has finished creating by the snapshot and ready to be used. Status failed is often caused by editing the source object while taking the snapshot or editing the target object while applying the snapshot before completion, see the field "message" to check the failure reason. Possible values include: 'notstarted', 'running', 'succeeded', 'failed' :type status: str or ~azure.cognitiveservices.vision.face.models.OperationStatusType :param created_time: Required. A combined UTC date and time string that describes the time when the operation (take or apply a snapshot) is requested. E.g. 2018-12-25T11:41:02.2331413Z. :type created_time: datetime :param last_action_time: A combined UTC date and time string that describes the last time the operation (take or apply a snapshot) is actively migrating data. The lastActionTime will keep increasing until the operation finishes. E.g. 2018-12-25T11:51:27.8705696Z. :type last_action_time: datetime :param resource_location: When the operation succeeds successfully, for snapshot taking operation the snapshot id will be included in this field, and for snapshot applying operation, the path to get the target object will be returned in this field. :type resource_location: str :param message: Show failure message when operation fails (omitted when operation succeeds). :type message: str """ _validation = { 'status': {'required': True}, 'created_time': {'required': True}, } _attribute_map = { 'status': {'key': 'status', 'type': 'OperationStatusType'}, 'created_time': {'key': 'createdTime', 'type': 'iso-8601'}, 'last_action_time': {'key': 'lastActionTime', 'type': 'iso-8601'}, 'resource_location': {'key': 'resourceLocation', 'type': 'str'}, 'message': {'key': 'message', 'type': 'str'}, } def __init__(self, kwargs): super(OperationStatus, self).__init__(kwargs) self.status = kwargs.get('status', None) self.created_time = 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silx/gui/plot/test/testPlotTools.py	PiRK/silx	0	97273	<gh_stars>0 # coding: utf-8 # /########################################################################## # # Copyright (c) 2016-2017 European Synchrotron Radiation Facility # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # # ###########################################################################/ """Basic tests for PlotTools""" __authors__ = ["<NAME>"] __license__ = "MIT" __date__ = "05/12/2016" import numpy import unittest from silx.test.utils import ParametricTestCase, TestLogging from silx.gui.test.utils import ( qWaitForWindowExposedAndActivate, TestCaseQt, getQToolButtonFromAction) from silx.gui import qt from silx.gui.plot import Plot2D, PlotWindow, PlotTools # Makes sure a QApplication exists _qapp = qt.QApplication.instance() or qt.QApplication([]) def _tearDownDocTest(docTest): """Tear down to use for test from docstring. Checks that plot widget is displayed """ plot = docTest.globs['plot'] qWaitForWindowExposedAndActivate(plot) plot.setAttribute(qt.Qt.WA_DeleteOnClose) plot.close() del plot # Disable doctest because of # "NameError: name 'numpy' is not defined" # # import doctest # positionInfoTestSuite = doctest.DocTestSuite( # PlotTools, tearDown=_tearDownDocTest, # optionflags=doctest.ELLIPSIS) # """Test suite of tests from PlotTools docstrings. # # Test PositionInfo and ProfileToolBar docstrings. # """ class TestPositionInfo(TestCaseQt): """Tests for PositionInfo widget.""" def setUp(self): super(TestPositionInfo, self).setUp() self.plot = PlotWindow() self.plot.show() self.qWaitForWindowExposed(self.plot) self.mouseMove(self.plot, pos=(1, 1)) self.qapp.processEvents() self.qWait(100) def tearDown(self): self.plot.setAttribute(qt.Qt.WA_DeleteOnClose) self.plot.close() del self.plot super(TestPositionInfo, self).tearDown() def _test(self, positionWidget, converterNames, kwargs): """General test of PositionInfo. - Add it to a toolbar and - Move mouse around the center of the PlotWindow. """ toolBar = qt.QToolBar() self.plot.addToolBar(qt.Qt.BottomToolBarArea, toolBar) toolBar.addWidget(positionWidget) converters = positionWidget.getConverters() self.assertEqual(len(converters), len(converterNames)) for index, name in enumerate(converterNames): self.assertEqual(converters[index][0], name) with TestLogging(PlotTools.__name__, kwargs): # Move mouse to center self.mouseMove(self.plot) self.mouseMove(self.plot, pos=(1, 1)) self.qapp.processEvents() self.qWait(100) def testDefaultConverters(self): """Test PositionInfo with default converters""" positionWidget = PlotTools.PositionInfo(plot=self.plot) self._test(positionWidget, ('X', 'Y')) def testCustomConverters(self): """Test PositionInfo with custom converters""" converters = [ ('Coords', lambda x, y: (int(x), int(y))), ('Radius', lambda x, y: numpy.sqrt(x * x + y * y)), ('Angle', lambda x, y: numpy.degrees(numpy.arctan2(y, x))) ] positionWidget = PlotTools.PositionInfo(plot=self.plot, converters=converters) self._test(positionWidget, ('Coords', 'Radius', 'Angle')) def testFailingConverters(self): """Test PositionInfo with failing custom converters""" def raiseException(x, y): raise RuntimeError() positionWidget = PlotTools.PositionInfo( plot=self.plot, converters=[('Exception', raiseException)]) self._test(positionWidget, ['Exception'], error=2) class TestPixelIntensitiesHisto(TestCaseQt, ParametricTestCase): """Tests for ProfileToolBar widget.""" def setUp(self): super(TestPixelIntensitiesHisto, self).setUp() self.image = numpy.random.rand(100, 100) self.plotImage = Plot2D() self.plotImage.getIntensityHistogramAction().setVisible(True) def tearDown(self): del self.plotImage super(TestPixelIntensitiesHisto, self).tearDown() def testShowAndHide(self): """Simple test that the plot is showing and hiding when activating the action""" self.plotImage.addImage(self.image, origin=(0, 0), legend='sino') self.plotImage.show() histoAction = self.plotImage.getIntensityHistogramAction() # test the pixel intensity diagram is showing button = getQToolButtonFromAction(histoAction) self.assertIsNot(button, None) self.mouseMove(button) self.mouseClick(button, qt.Qt.LeftButton) self.qapp.processEvents() self.assertTrue(histoAction.getHistogramPlotWidget().isVisible()) # test the pixel intensity diagram is hiding self.qapp.setActiveWindow(self.plotImage) self.qapp.processEvents() self.mouseMove(button) self.mouseClick(button, qt.Qt.LeftButton) self.qapp.processEvents() self.assertFalse(histoAction.getHistogramPlotWidget().isVisible()) def testImageFormatInput(self): """Test multiple type as image input""" typesToTest = [numpy.uint8, numpy.int8, numpy.int16, numpy.int32, numpy.float32, numpy.float64] self.plotImage.addImage(self.image, origin=(0, 0), legend='sino') self.plotImage.show() button = getQToolButtonFromAction( self.plotImage.getIntensityHistogramAction()) self.mouseMove(button) self.mouseClick(button, qt.Qt.LeftButton) self.qapp.processEvents() for typeToTest in typesToTest: 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scronsole/widgets/main_screen.py	bastianh/screeps_console_mod	2	18131	import urwid from scronsole.config_manager import ConfigManager from scronsole.plugin_manager import PluginManager from scronsole.widgets.main_menu import MainMenu from scronsole.widgets.server_screen import ServerScreen class MainScreen(urwid.WidgetPlaceholder): def __init__(self): super().__init__(urwid.SolidFill(u'/')) self.config = ConfigManager() self.show_main_menu() self.plugins = PluginManager(self) self.plugins.load_plugins() def show_server_screen(self, server_data): self.original_widget = ServerScreen(self, server_data) def show_main_menu(self): self.original_widget = MainMenu(self)	[ 1, 1053, 5065, 9163, 13, 13, 3166, 885, 1617, 2170, 29889, 2917, 29918, 12847, 1053, 12782, 3260, 13, 3166, 885, 1617, 2170, 29889, 8582, 29918, 12847, 1053, 1858, 3851, 3260, 13, 3166, 885, 1617, 2170, 29889, 8030, 29879, 29889, 3396, 29918, 6510, 1053, 4241, 6823, 13, 3166, 885, 1617, 2170, 29889, 8030, 29879, 29889, 2974, 29918, 10525, 1053, 5656, 11357, 13, 13, 13, 1990, 4241, 11357, 29898, 332, 9163, 29889, 8801, 22150, 7694, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 1125, 13, 4706, 2428, 2141, 1649, 2344, 12035, 332, 9163, 29889, 13296, 333, 20876, 29898, 29884, 29915, 29914, 8785, 13, 4706, 1583, 29889, 2917, 353, 12782, 3260, 580, 13, 4706, 1583, 29889, 4294, 29918, 3396, 29918, 6510, 580, 13, 4706, 1583, 29889, 12800, 353, 1858, 3851, 3260, 29898, 1311, 29897, 13, 4706, 1583, 29889, 12800, 29889, 1359, 29918, 12800, 580, 13, 13, 1678, 822, 1510, 29918, 2974, 29918, 10525, 29898, 1311, 29892, 1923, 29918, 1272, 1125, 13, 4706, 1583, 29889, 13492, 29918, 8030, 353, 5656, 11357, 29898, 1311, 29892, 1923, 29918, 1272, 29897, 13, 13, 1678, 822, 1510, 29918, 3396, 29918, 6510, 29898, 1311, 1125, 13, 4706, 1583, 29889, 13492, 29918, 8030, 353, 4241, 6823, 29898, 1311, 29897, 13, 2 ]
python_modules/libraries/dagster-gcp/dagster_gcp/gcs/object_store.py	bitdotioinc/dagster	1	193744	import logging import sys from io import BytesIO, StringIO from google.api_core.exceptions import TooManyRequests from google.cloud import storage from dagster import check from dagster.core.storage.object_store import ObjectStore from dagster.core.types.marshal import SerializationStrategy from dagster.utils.backoff import backoff class GCSObjectStore(ObjectStore): def __init__(self, bucket, client=None): self.bucket = check.str_param(bucket, "bucket") self.client = client or storage.Client() self.bucket_obj = self.client.get_bucket(bucket) assert self.bucket_obj.exists() super(GCSObjectStore, self).__init__("gs", sep="/") def set_object(self, key, obj, serialization_strategy=None): check.str_param(key, "key") logging.info("Writing GCS object at: " + self.uri_for_key(key)) # cannot check obj since could be arbitrary Python object check.inst_param( serialization_strategy, "serialization_strategy", SerializationStrategy ) # cannot be none here if self.has_object(key): logging.warning("Removing existing GCS key: {key}".format(key=key)) backoff(self.rm_object, args=[key], retry_on=(TooManyRequests,)) with ( BytesIO() if serialization_strategy.write_mode == "wb" or sys.version_info < (3, 0) else StringIO() ) as file_like: serialization_strategy.serialize(obj, file_like) file_like.seek(0) backoff( self.bucket_obj.blob(key).upload_from_file, args=[file_like], retry_on=(TooManyRequests,), ) return self.uri_for_key(key) def get_object(self, key, serialization_strategy=None): check.str_param(key, "key") check.param_invariant(len(key) > 0, "key") check.inst_param( serialization_strategy, "serialization_strategy", SerializationStrategy ) # cannot be none here if serialization_strategy.read_mode == "rb": file_obj = BytesIO() self.bucket_obj.blob(key).download_to_file(file_obj) else: file_obj = StringIO( self.bucket_obj.blob(key) .download_as_string() .decode(serialization_strategy.encoding) ) file_obj.seek(0) obj = serialization_strategy.deserialize(file_obj) return obj, self.uri_for_key(key) def has_object(self, key): check.str_param(key, "key") check.param_invariant(len(key) > 0, "key") blobs = self.client.list_blobs(self.bucket, prefix=key) return len(list(blobs)) > 0 def rm_object(self, key): check.str_param(key, "key") check.param_invariant(len(key) > 0, "key") if self.bucket_obj.blob(key).exists(): self.bucket_obj.blob(key).delete() return self.uri_for_key(key) def cp_object(self, src, dst): check.str_param(src, "src") check.str_param(dst, "dst") source_blob = self.bucket_obj.blob(src) self.bucket_obj.copy_blob(source_blob, self.bucket_obj, dst) return ( self.uri_for_key(src), self.uri_for_key(dst), ) def uri_for_key(self, key, protocol=None): check.str_param(key, "key") protocol = check.opt_str_param(protocol, "protocol", default="gs://") return protocol + self.bucket + "/" + "{key}".format(key=key)	[ 1, 1053, 12183, 13, 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api/views.py	rukbotto/reviews-django	0	27725	<gh_stars>0 from django.http import Http404 from django.shortcuts import render from rest_framework import status from rest_framework.permissions import IsAuthenticated from rest_framework.response import Response from rest_framework.views import APIView from api.models import Review from api.serializers import ReviewSerializer class ReviewListView(APIView): permission_classes = (IsAuthenticated,) def get(self, request, args, kwargs): serializer = ReviewSerializer(request.user.reviews.all(), many=True) return Response(serializer.data) def post(self, request, args, *kwargs): data = request.data data['ip_address'] = request.META.get('REMOTE_ADDR') serializer = ReviewSerializer(data=data) if serializer.is_valid(): serializer.save(user=request.user) return Response(serializer.data, status.HTTP_201_CREATED) return Response(serializer.errors, status.HTTP_400_BAD_REQUEST) class ReviewDetailView(APIView): def get(self, request, args, **kwargs): try: review = Review.objects.get(pk=kwargs['pk']) if request.user != review.user: return Response({}, status.HTTP_403_FORBIDDEN) except Review.DoesNotExist: raise Http404 serializer = ReviewSerializer(review) return Response(serializer.data)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 9557, 29889, 1124, 1053, 9056, 29946, 29900, 29946, 13, 3166, 9557, 29889, 12759, 7582, 29879, 1053, 4050, 13, 3166, 1791, 29918, 4468, 1053, 4660, 13, 3166, 1791, 29918, 4468, 29889, 17858, 6847, 1053, 1317, 6444, 4173, 630, 13, 3166, 1791, 29918, 4468, 29889, 5327, 1053, 13291, 13, 3166, 1791, 29918, 4468, 29889, 7406, 1053, 3450, 1043, 13, 13, 3166, 7882, 29889, 9794, 1053, 13957, 13, 3166, 7882, 29889, 15550, 19427, 1053, 13957, 17679, 13, 13, 13, 1990, 13957, 15660, 29898, 8787, 1043, 1125, 13, 1678, 10751, 29918, 13203, 353, 313, 3624, 6444, 4173, 630, 29892, 29897, 13, 13, 1678, 822, 679, 29898, 1311, 29892, 2009, 29892, 334, 5085, 29892, 3579, 19290, 1125, 13, 4706, 7797, 3950, 353, 13957, 17679, 29898, 3827, 29889, 1792, 29889, 276, 7406, 29889, 497, 3285, 1784, 29922, 5574, 29897, 13, 4706, 736, 13291, 29898, 15550, 3950, 29889, 1272, 29897, 13, 13, 1678, 822, 1400, 29898, 1311, 29892, 2009, 29892, 334, 5085, 29892, 3579, 19290, 1125, 13, 4706, 848, 353, 2009, 29889, 1272, 13, 4706, 848, 1839, 666, 29918, 7328, 2033, 353, 2009, 29889, 2303, 6040, 29889, 657, 877, 1525, 29924, 2891, 29923, 29918, 3035, 8353, 1495, 13, 4706, 7797, 3950, 353, 13957, 17679, 29898, 1272, 29922, 1272, 29897, 13, 4706, 565, 7797, 3950, 29889, 275, 29918, 3084, 7295, 13, 9651, 7797, 3950, 29889, 7620, 29898, 1792, 29922, 3827, 29889, 1792, 29897, 13, 9651, 736, 13291, 29898, 15550, 3950, 29889, 1272, 29892, 4660, 29889, 10493, 29918, 29906, 29900, 29896, 29918, 27045, 29928, 29897, 13, 4706, 736, 13291, 29898, 15550, 3950, 29889, 12523, 29892, 4660, 29889, 10493, 29918, 29946, 29900, 29900, 29918, 29933, 3035, 29918, 16244, 29897, 13, 13, 13, 1990, 13957, 16570, 1043, 29898, 8787, 1043, 1125, 13, 1678, 822, 679, 29898, 1311, 29892, 2009, 29892, 334, 5085, 29892, 3579, 19290, 1125, 13, 4706, 1018, 29901, 13, 9651, 9076, 353, 13957, 29889, 12650, 29889, 657, 29898, 20571, 29922, 19290, 1839, 20571, 11287, 13, 9651, 565, 2009, 29889, 1792, 2804, 9076, 29889, 1792, 29901, 13, 18884, 736, 13291, 3319, 1118, 4660, 29889, 10493, 29918, 29946, 29900, 29941, 29918, 22051, 29933, 1367, 29928, 1430, 29897, 13, 4706, 5174, 13957, 29889, 25125, 3664, 1252, 391, 29901, 13, 9651, 12020, 9056, 29946, 29900, 29946, 13, 4706, 7797, 3950, 353, 13957, 17679, 29898, 27828, 29897, 13, 4706, 736, 13291, 29898, 15550, 3950, 29889, 1272, 29897, 13, 2 ]
Python/CCC - Mouse Move.py	RobinNash/Solutions-to-Competition-Problems	0	192569	<reponame>RobinNash/Solutions-to-Competition-Problems # Mouse Move # # November 12, 2018 # By <NAME> [c,r] = [int(i) for i in input().split(" ") if i != " "] x,y = 0,0 while True: pair = [int(i) for i in input().split(" ") if i != " "] if pair == [0,0]: break x += pair[0] y += pair[1] pair = [x,y] for i in range(2): if pair[i] > [c,r][i]: pair[i] = [c,r][i] if pair[i] < 0: pair[i] = 0 [x,y] = pair print(x,y) #1541983052.0	[ 1, 529, 276, 1112, 420, 29958, 21860, 262, 29940, 1161, 29914, 13296, 17925, 29899, 517, 29899, 6843, 300, 654, 29899, 26604, 29879, 13, 29937, 25992, 25249, 396, 30004, 13, 29937, 3979, 29871, 29896, 29906, 29892, 29871, 29906, 29900, 29896, 29947, 30004, 13, 29937, 2648, 529, 5813, 3238, 13, 30004, 13, 29961, 29883, 29892, 29878, 29962, 353, 518, 524, 29898, 29875, 29897, 363, 474, 297, 1881, 2141, 5451, 703, 16521, 565, 474, 2804, 376, 376, 29962, 30004, 13, 29916, 29892, 29891, 353, 29871, 29900, 29892, 29900, 30004, 13, 30004, 13, 8000, 5852, 29901, 30004, 13, 1678, 5101, 353, 518, 524, 29898, 29875, 29897, 363, 474, 297, 1881, 2141, 5451, 703, 16521, 565, 474, 2804, 376, 376, 29962, 30004, 13, 1678, 565, 5101, 1275, 518, 29900, 29892, 29900, 5387, 30004, 13, 4706, 2867, 30004, 13, 1678, 921, 4619, 5101, 29961, 29900, 29962, 30004, 13, 1678, 343, 4619, 5101, 29961, 29896, 29962, 30004, 13, 1678, 5101, 353, 518, 29916, 29892, 29891, 29962, 30004, 13, 1678, 363, 474, 297, 3464, 29898, 29906, 1125, 30004, 13, 4706, 565, 5101, 29961, 29875, 29962, 1405, 518, 29883, 29892, 29878, 3816, 29875, 5387, 30004, 13, 9651, 5101, 29961, 29875, 29962, 353, 518, 29883, 29892, 29878, 3816, 29875, 29962, 30004, 13, 4706, 565, 5101, 29961, 29875, 29962, 529, 29871, 29900, 29901, 30004, 13, 9651, 5101, 29961, 29875, 29962, 353, 29871, 29900, 30004, 13, 1678, 518, 29916, 29892, 29891, 29962, 353, 5101, 30004, 13, 1678, 1596, 29898, 29916, 29892, 29891, 8443, 13, 29937, 29896, 29945, 29946, 29896, 29929, 29947, 29941, 29900, 29945, 29906, 29889, 29900, 2 ]
ocr.py	tunc2112/uet-img-processing	0	17795	<gh_stars>0 from PIL import Image import cv2 import pytesseract import tesserocr from pyocr import pyocr from pyocr import builders import sys import os def get_image_filename(img_id): filename = "img_src/src{0:0>3}".format(img_id) for ext in [".png", ".jpg", ".jpeg"]: if os.path.exists(os.path.join(os.getcwd(), filename + ext)): return filename + ext def write_output(libname, img_id, text): filename = "./output/output_{1}_{0:0>3}.txt".format(img_id, libname) with open(filename, "w") as f: f.write(text) def ocr_pytesseract(img_id): img_filename = './' + get_image_filename(img_id) img = cv2.imread(img_filename, cv2.IMREAD_COLOR) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) gray = cv2.bilateralFilter(gray, 11, 17, 17) original = pytesseract.image_to_string(gray, config='') write_output(img, original) def ocr_pyocr(img_id): img_filename = './' + get_image_filename(img_id) img = cv2.imread(img_filename, cv2.IMREAD_COLOR) tools = pyocr.get_available_tools() if len(tools) == 0: print("No OCR tool found") sys.exit(1) tool = tools[0] langs = tool.get_available_languages() lang = langs[0] txt = tool.image_to_string( Image.open(img_filename), lang=lang, builder=pyocr.tesseract.builders.TextBuilder() ) write_output(img_id, txt) def ocr_tesseract(img_id): img_filename = './' + get_image_filename(img_id) txt = tesserocr.image_to_text(Image.open(img_filename)) write_output(img_id, txt)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 349, 6227, 1053, 7084, 13, 5215, 13850, 29906, 13, 5215, 282, 3637, 16136, 627, 13, 5215, 260, 16136, 8415, 13, 3166, 11451, 8415, 1053, 11451, 8415, 13, 3166, 11451, 8415, 1053, 2048, 414, 13, 5215, 10876, 13, 5215, 2897, 13, 13, 13, 1753, 679, 29918, 3027, 29918, 9507, 29898, 2492, 29918, 333, 1125, 13, 1678, 10422, 353, 376, 2492, 29918, 4351, 29914, 4351, 29912, 29900, 29901, 29900, 29958, 29941, 29913, 1642, 4830, 29898, 2492, 29918, 333, 29897, 13, 1678, 363, 1294, 297, 518, 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Handling Images and Pixels/Image processing - sharpen operation.py	ahmadhabib5/Computer_Vision_Bootcamp_with_Python_OpenCV_YOLO_SSD	0	64955	import numpy as np import cv2 image = cv2.imread('images/unsharp_bird.jpg') kernel = np.array([ [0, -1, 0], [-1, 5, -1], [0, -1, 0] ]) sharpen_iamge = cv2.filter2D(image, -1, kernel) cv2.imshow("original image", image) cv2.imshow("sharpen image", sharpen_iamge) cv2.waitKey(0) cv2.destroyAllWindows()	[ 1, 1053, 12655, 408, 7442, 13, 5215, 13850, 29906, 13, 13, 3027, 353, 13850, 29906, 29889, 326, 949, 877, 8346, 29914, 348, 22064, 29918, 18513, 29889, 6173, 1495, 13, 13, 17460, 353, 7442, 29889, 2378, 4197, 13, 9651, 518, 29900, 29892, 448, 29896, 29892, 259, 29900, 1402, 13, 9651, 21069, 29896, 29892, 29871, 29945, 29892, 448, 29896, 1402, 13, 9651, 518, 29900, 29892, 448, 29896, 29892, 259, 29900, 29962, 13, 308, 2314, 13, 13, 845, 279, 2238, 29918, 2829, 479, 353, 13850, 29906, 29889, 4572, 29906, 29928, 29898, 3027, 29892, 448, 29896, 29892, 8466, 29897, 13, 13, 11023, 29906, 29889, 326, 4294, 703, 13492, 1967, 613, 1967, 29897, 13, 11023, 29906, 29889, 326, 4294, 703, 845, 279, 2238, 1967, 613, 528, 279, 2238, 29918, 2829, 479, 29897, 13, 11023, 29906, 29889, 10685, 2558, 29898, 29900, 29897, 13, 11023, 29906, 29889, 20524, 3596, 7685, 580, 2 ]
scrapy_tfg/scrapy_tfg/spiders/mdeportivo_spider.py	jochoaserna/footballnews	0	98699	# -- coding: utf-8 -- import scrapy import re import json import urllib.parse import datetime import random class MundodeportivoSpider(scrapy.Spider): name = "md" start_urls = [ 'http://www.mundodeportivo.com/futbol/atletico-madrid', 'http://www.mundodeportivo.com/futbol/real-madrid', 'http://www.mundodeportivo.com/futbol/fc-barcelona' ] # ------------------------------------------------------------- # ORDENES # $ scrapy crawl md -a team=atletico-madrid -o md-atm.json # $ scrapy crawl md -a team=real-madrid -o md-rma.json # $ scrapy crawl md -a team=fc-barcelona -o md-bar.json # ------------------------------------------------------------- # def __init__(self, team='atletico_madrid'): # self.start_urls = ['http://www.mundodeportivo.com/futbol/%s' % team] def parse(self, response): # follow links to each news item for href in response.css('h3.story-header-title a::attr(href)').extract(): yield scrapy.Request(href, callback=self.parse_news) def parse_news(self, response): headline = response.css('h1.story-leaf-title::text')[0].extract() articleBody = ''.join(response.css('div.story-leaf-txt-p p::text ,div.story-leaf-txt-p p b::text ,div.story-leaf-txt-p p a::text').extract()) #author = response.css('div.story-leaf-author-text span::text')[0].extract() #articleSection = response.css('span.section-type::text')[0].extract() #commentCount = response.css('div.fyre-comment-count span::text')[0].extract() datePublished = response.css('div.story-leaf-body.story-leaf-indent time::attr(datetime)')[0].extract() images = response.css('div.container figure img::attr(src)')[1].extract() videos = response.css('div.html-box-center iframe::attr(src)').extract() keywords = response.css('li.story-leaf-topics-item a::text').extract() #comments = ' - '.join(response.css('div.comentario strong.numero_comentario a::text, div.comentario p.nombre span.nombre_usuario::text, div.comentario p.nombre span.nick::text, div.comentario span.fecha::text, div.comentario span+p::text, div.comentario p.nombre img::attr(src)').extract()) dateCreated = datetime.datetime.now().isoformat() url = response.url _id = str(random.randint(0,10000)) + dateCreated team = "" if bool(re.search("atletico-madrid", url)): team = "atletico" elif bool(re.search("real-madrid", url)): team = "madrid" elif bool(re.search("fc-barcelona", url)): team = "barca" else: return item = {'@context':'http://schema.org', 'headline':headline, 'articleBody':articleBody, # "author" COMMENTED BECAUSE IS MISSING IN SOME ARTICLES AND WE ARE NOT USING IT LATER #'author':author, #'articleSection':articleSection, #'commentCount':commentCount, 'datePublished':datePublished, 'images':images, 'videos':videos, 'keywords':keywords, #'comments':comments, 'dateCreated':dateCreated, 'newspaper': "md", 'url': url, 'team': team, 'id':_id } yield item return	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 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ged2json.py	FlominatorTM/tam	1	154329	""" converts a GEDCOM file into a JSON file for use in Topographic Attribute Maps (https://github.com/rpreiner/tam) this is just a proof of concept and might contain serious mistakes and problems """ import argparse import json import re __author__ = "<NAME>" def add_child(parentId, childId, idsWithNodes, nodesWithFamily, res): if parentId != "" and childId in idsWithNodes: nodesWithFamily.append(parentId) link = {"source" : parentId, "target" : childId, "directed": True} res["links"].append(link) if childId not in nodesWithFamily: nodesWithFamily.append(childId) def fill_missing_years(childNode, res): for parentId in (x for x in res['links'] if x['target'] == childNode['id']): parentNode = next((x for x in res["nodes"] if x['id'] == parentId['source']), None) if parentNode is not None and 'value' not in parentNode and 'value' in childNode: estimatedBirth = childNode['value'] - 20 print("estimated birth for " + parentNode['id'] + " (" + parentNode['name'] + "): " + str(estimatedBirth)) parentNode['value'] = estimatedBirth fill_missing_years(parentNode, res) parser = argparse.ArgumentParser(description='convert GEDCOM file to JSON file for use in Topographic Attribute Maps') parser.add_argument('gedcom', type=str, help='path to GEDCOM file') parser.add_argument('json', type=str, help='path to JSON file') args = parser.parse_args() res = {} nodesWithFamily = [] res["nodes"] = [] res["links"] = [] with open(args.gedcom, encoding='utf8', errors='ignore') as f: lines = f.readlines() node = {} husb = "" wife = "" idsWithNodes = [] for i in range(len(lines)): line = lines[i] if " INDI" in line: if "id" in node: res["nodes"].append(node) idsWithNodes.append(node["id"]) lineParts = line.split() node = {"id" : lineParts[1]} elif " FAM" in line and "id" in node: #last INDI before FAMs start res["nodes"].append(node) idsWithNodes.append(node["id"]) node = {} elif "1 NAME" in line: node["name"] = line[7:].strip().replace('/', '') elif "1 BIRT" in line and "2 DATE" in lines[i+1]: birthRow = lines[i+1] match = re.match(r'.*([1-3][0-9]{3})', birthRow) if match is not None: node["value"] = int(match.group(1)) elif "1 HUSB " in line: husb = line[7:].strip() if husb not in idsWithNodes: husb = "" elif "1 WIFE " in line: wife = line[7:].strip() if wife not in idsWithNodes: wife = "" elif "1 CHIL " in line: child = line[7:].strip() add_child(husb, child, idsWithNodes, nodesWithFamily, res) add_child(wife, child, idsWithNodes, nodesWithFamily, res) elif "0 " in line and " FAM" in line: husb = "" wife = "" nodesWithoutParents = [] for oneNode in res["nodes"]: if oneNode["id"] not in nodesWithFamily: nodesWithoutParents.append(oneNode) for orphanNode in nodesWithoutParents: try: print ("removing orphan " + orphanNode["id"] + ": " + orphanNode["name"]) except: print ("removing orphan " + orphanNode["id"] + " which cannot be displayed properly") res["nodes"].remove(orphanNode) for oneNode in res["nodes"]: 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mtl/extractors/lbirnn.py	vandurme/TFMTL	10	176763	<reponame>vandurme/TFMTL<filename>mtl/extractors/lbirnn.py<gh_stars>1-10 # Copyright 2018 Johns Hopkins University. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================ from __future__ import absolute_import from __future__ import division from __future__ import print_function import tensorflow as tf from six.moves import xrange import mtl.util.registry as registry from mtl.util.common import (validate_extractor_inputs, listify, unlistify) def get_multi_cell(cell_type, cell_size, num_layers): if cell_type == tf.contrib.rnn.GRUCell: cell = cell_type(cell_size, kernel_initializer=tf.contrib.layers.xavier_initializer()) elif cell_type == tf.contrib.rnn.LSTMCell: cell = cell_type(cell_size, initializer=tf.contrib.layers.xavier_initializer()) # TODO initializer??? elif cell_type == tf.contrib.rnn.SRUCell: cell = cell_type(cell_size, initializer=tf.contrib.layers.xavier_initializer()) # TODO layer num??? # elif cell_type == RANCell: # cell = cell_type(num_units=cell_size) else: cell = cell_type(cell_size) if num_layers > 1: return tf.contrib.rnn.MultiRNNCell([cell] * num_layers) else: return cell def fill_initial_state(initial_states, cells, batch_size): # replace None values with zero states initial_states = list(initial_states) # ensure mutability for i, c in enumerate(initial_states): if c is None: initial_states[i] = cells.zero_state(batch_size, tf.float32) initial_states = tuple(initial_states) # restore immutability return initial_states def get_idx(indices, batch_size): # row index [[0], [1], ..., [N]] r = tf.range(batch_size) r = tf.cast(r, dtype=tf.int64) r = tf.expand_dims(r, 1) # make sure indices are able to be concatenated with range # i.e., of the form [[idx_0], [idx_1], ..., [idx_N]] rank = len(indices.get_shape().as_list()) if rank == 1: indices = tf.expand_dims(indices, 1) elif rank == 2: pass else: raise ValueError("indices doesn't have rank 1 or 2: rank=%d" % (rank)) idx = tf.concat([r, indices], axis=1) return idx def _lbirnn_helper(inputs, lengths, is_training, indices=None, num_layers=2, cell_type=tf.contrib.rnn.LSTMCell, cell_size=64, initial_state_fwd=None, initial_state_bwd=None, scope=None, *kwargs): """Stacked linear chain bi-directional RNN Inputs _____ inputs: batch of size [batch_size, batch_len, embed_size] lengths: batch of size [batch_size] indices: which token index in each batch example should be output shape: [batch_size] or [batch_size, 1] num_layers: number of stacked layers in the bi-RNN cell_type: type of RNN cell to use (e.g., LSTM, GRU) cell_size: cell's output size initial_state_fwd: initial state for forward direction initial_state_bwd: initial state for backward direction Outputs _______ If the input word vectors have dimension D and indices is None, the output is a Tensor of size [batch_size, batch_len, cell_size_fwd + cell_size_bwd] = [batch_size, batch_len, 2cell_size]. If indices is not None, the output is a Tensor of size [batch_size, cell_size_fwd + cell_size_bwd] = [batch_size, 2cell_size] """ if scope is not None: scope_name = scope else: scope_name = "lbirnn" with tf.variable_scope(scope_name, reuse=tf.AUTO_REUSE) as varscope: # print("_lbirnn_helper scope={}".format(varscope)) # reverse each batch example up through its length, maintaining right-padding inputs_rev = tf.reverse_sequence(inputs, lengths, batch_axis=0, seq_axis=1) cells_fwd = get_multi_cell(cell_type, cell_size, num_layers) cells_bwd = get_multi_cell(cell_type, cell_size, num_layers) if is_training and ("output_keep_prob" in kwargs) and ( kwargs["output_keep_prob"] < 1.0): cells_fwd = tf.contrib.rnn.DropoutWrapper(cell=cells_fwd, output_keep_prob=kwargs[ "output_keep_prob"]) cells_bwd = tf.contrib.rnn.DropoutWrapper(cell=cells_bwd, output_keep_prob=kwargs[ "output_keep_prob"]) else: pass if "attention" in kwargs and kwargs["attention"] == True: if "attn_length" in kwargs: attn_length = kwargs["attn_length"] else: attn_length = 10 cells_fwd = tf.contrib.rnn.AttentionCellWrapper(cells_fwd, attn_length=attn_length) cells_bwd = tf.contrib.rnn.AttentionCellWrapper(cells_bwd, attn_length=attn_length) batch_size = tf.shape(inputs)[0] initial_state_fwd = fill_initial_state(listify(initial_state_fwd), cells_fwd, batch_size) initial_state_fwd = unlistify(initial_state_fwd) initial_state_bwd = fill_initial_state(listify(initial_state_bwd), cells_bwd, batch_size) initial_state_bwd = unlistify(initial_state_bwd) # if initial_state_fwd is None: # #initial_state_fwd = [None] # initial_state_fwd = fill_initial_state([None], cells_fwd, batch_size)#[0] # else: # initial_state_fwd = fill_initial_state(initial_state_fwd, cells_fwd, batch_size) # # if initial_state_bwd is None: # #initial_state_bwd = [None] # initial_state_bwd = fill_initial_state([None], cells_bwd, batch_size)#[0] # else: # initial_state_bwd = fill_initial_state(initial_state_bwd, cells_bwd, batch_size) code_fwd, last_state_fwd = tf.nn.dynamic_rnn(cells_fwd, inputs, sequence_length=lengths, initial_state=initial_state_fwd, time_major=False, scope="rnn_fwd") tmp, last_state_bwd = tf.nn.dynamic_rnn(cells_bwd, inputs_rev, sequence_length=lengths, initial_state=initial_state_bwd, time_major=False, scope="rnn_bwd") # reverse backward-pass outputs so they align with the forward-pass outputs code_bwd = tf.reverse_sequence(tmp, lengths, batch_axis=0, seq_axis=1) if indices is not None: idx = get_idx(indices, batch_size) # get the (indices[i])-th token's output from row i code_fwd = tf.gather_nd(code_fwd, idx) code_bwd = tf.gather_nd(code_bwd, idx) return (code_fwd, code_bwd), (last_state_fwd, last_state_bwd) """ def lbirnn(inputs, lengths, is_training, indices=None, num_layers=2, cell_type=tf.contrib.rnn.LSTMCell, cell_size=64, initial_state_fwd=None, initial_state_bwd=None, kwargs): with tf.variable_scope("single-stage-lbirnn", reuse=tf.AUTO_REUSE) as varscope: o, _ = _lbirnn_helper(inputs, lengths, is_training=is_training, indices=indices, num_layers=num_layers, cell_type=cell_type, cell_size=cell_size, initial_state_fwd=initial_state_fwd, initial_state_bwd=initial_state_bwd, scope=varscope, kwargs) (code_fwd, code_bwd) = o code = tf.concat([code_fwd, code_bwd], axis=-1) outputs = code return outputs """ def lbirnn(inputs, lengths, is_training, indices=None, num_layers=2, cell_type=tf.contrib.rnn.GRUCell, cell_size=64, initial_state_fwd=None, initial_state_bwd=None, kwargs): """Serial stacked linear chain bi-directional RNN If `indices` is specified for the last stage, the outputs of the tokens in the last stage as specified by `indices` will be returned. If `indices` is None for the last stage, the encodings for all tokens in the sequence are returned. Inputs _____ All arguments denoted with () should be given as lists, one element per stage in the series. The specifications given below are for a single stage. inputs (): Tensor of size [batch_size, batch_len, embed_size] lengths (): Tensor of size [batch_size] indices: Tensor of which token index in each batch item should be output; shape: [batch_size] or [batch_size, 1] num_layers: number of stacked layers in the bi-RNN cell_type: type of RNN cell to use (e.g., LSTM, GRU) cell_size: cell's output size initial_state_fwd: initial state for forward direction, may be None initial_state_bwd: initial state for backward direction, may be None Outputs _______ If the input word vectors have dimension D and the series has N stages: if `indices` is not None: the output is a Tensor of size [batch_size, cell_size] if `indices` is None: the output is a Tensor of size [batch_size, batch_len, cell_size] """ validate_extractor_inputs(inputs, lengths) num_stages = len(inputs) fwd_ = initial_state_fwd bwd_ = initial_state_bwd prev_varscope = None for n_stage in xrange(num_stages): # with tf.variable_scope("serial_lbirnn", reuse=tf.AUTO_REUSE) as varscope: with tf.variable_scope( "serial-lbirnn-seq{}".format(n_stage)) as varscope: if prev_varscope is not None: prev_varscope.reuse_variables() if n_stage == num_stages - 1: # Use the user-specified indices on the last stage indices_ = indices else: indices_ = None o, s = _lbirnn_helper(inputs[n_stage], lengths[n_stage], is_training=is_training, indices=indices_, num_layers=num_layers, cell_type=cell_type, cell_size=cell_size, initial_state_fwd=fwd_, initial_state_bwd=bwd_, scope=varscope, kwargs) (code_fwd, code_bwd), (last_state_fwd, last_state_bwd) = o, s # Update arguments for next stage fwd_ = last_state_fwd bwd_ = last_state_bwd prev_varscope = varscope code = tf.concat([code_fwd, code_bwd], axis=-1) outputs = code return outputs def _lbirnn_stock_helper(inputs, lengths, is_training, num_layers=2, cell_type=tf.contrib.rnn.GRUCell, cell_size=64, initial_state_fwd=None, initial_state_bwd=None, scope=None, kwargs): scope_name = scope if scope is not None else "stock-lbirnn" with tf.variable_scope(scope_name) as varscope: cells_fwd = get_multi_cell(cell_type, cell_size, num_layers) cells_bwd = get_multi_cell(cell_type, cell_size, num_layers) if "skip_connections" in kwargs and kwargs["skip_connections"]: cells_fwd = tf.contrib.rnn.ResidualWrapper(cells_fwd) cells_bwd = tf.contrib.rnn.ResidualWrapper(cells_bwd) if is_training and ("output_keep_prob" in kwargs) and ( kwargs["output_keep_prob"] < 1.0): cells_fwd = tf.contrib.rnn.DropoutWrapper(cell=cells_fwd, output_keep_prob=kwargs[ "output_keep_prob"]) cells_bwd = tf.contrib.rnn.DropoutWrapper(cell=cells_bwd, output_keep_prob=kwargs[ "output_keep_prob"]) else: pass if "attention" in kwargs and kwargs["attention"] == True: if "attn_length" in kwargs: attn_length = kwargs["attn_length"] else: attn_length = 10 cells_fwd = tf.contrib.rnn.AttentionCellWrapper(cells_fwd, attn_length=attn_length) cells_bwd = tf.contrib.rnn.AttentionCellWrapper(cells_bwd, attn_length=attn_length) outputs, last_states = tf.nn.bidirectional_dynamic_rnn(cells_fwd, cells_bwd, inputs, sequence_length=lengths, initial_state_fw=initial_state_fwd, initial_state_bw=initial_state_bwd, dtype=tf.float32) return outputs, last_states def lbirnn_stock(inputs, lengths, is_training, num_layers=2, cell_type=tf.contrib.rnn.GRUCell, cell_size=64, initial_state_fwd=None, initial_state_bwd=None, kwargs): validate_extractor_inputs(inputs, lengths) num_stages = len(inputs) fwd_ = initial_state_fwd bwd_ = initial_state_bwd prev_varscope = None for n_stage in xrange(num_stages): with tf.variable_scope( "serial-lbirnn-stock-seq{}".format(n_stage)) as varscope: if prev_varscope is not None: prev_varscope.reuse_variables() code, states = _lbirnn_stock_helper(inputs[n_stage], lengths[n_stage], is_training=is_training, num_layers=num_layers, cell_type=cell_type, cell_size=cell_size, initial_state_fwd=fwd_, initial_state_bwd=bwd_, scope=varscope, kwargs) fwd_ = states[0] bwd_ = states[1] prev_varscope = varscope # concatenate hx_fwd and hx_bwd of top layer # `states` = ((cx_fwd, hx_fwd), (cx_bwd, hx_bwd)) # TODO for GRU if num_layers > 1: # shape states: [2, num_layers, 2] # (cf. https://github.com/coastalcph/mtl-disparate/blob/master/mtl/nn.py#L43) if cell_type == tf.contrib.rnn.GRUCell: # TODO pass elif cell_type == tf.contrib.rnn.LSTMCell: output = tf.concat([states[0][-1][1], states[1][-1][1]], 1) else: # shape states: [2, 2] # (cf. https://github.com/coastalcph/mtl-disparate/blob/master/mtl/nn.py#L40) # if cell_type == tf.contrib.rnn.GRUCell or cell_type == RANCell: if cell_type == tf.contrib.rnn.GRUCell: output = tf.concat([states[0], states[1]], 1) elif cell_type == tf.contrib.rnn.LSTMCell: output = tf.concat([states[0][1], states[1][1]], 1) return output @registry.register_hparams def sRUDER_NAACL18_HPARAMS(): hp = tf.contrib.training.HParams( cell_type='lstm', cell_size=100, num_layers=1, keep_prob=0.5 ) return hp @registry.register_encoder def ruder_encoder(inputs, lengths, is_training, hp=None): assert type(inputs) is list assert type(lengths) is list assert len(inputs) == len(lengths) assert len(inputs) == 2 assert hp is not None num_input_dim = len(inputs[0].get_shape().as_list()) assert num_input_dim == 3 # BATCH X TIME X EMBED num_length_dim = len(lengths[0].get_shape().as_list()) assert num_length_dim == 1 if hp.cell_type == 'gru': cell_type = tf.contrib.rnn.GRUCell elif hp.cell_type == 'lstm': cell_type = tf.contrib.rnn.LSTMCell else: raise ValueError(hp.cell_type) keep_prob = hp.keep_prob if is_training else 1.0 code = lbirnn_stock(inputs, lengths, is_training=is_training, num_layers=hp.num_layers, cell_type=cell_type, cell_size=hp.cell_size) assert len(code.get_shape().as_list()) == 2 return code	[ 1, 529, 276, 1112, 420, 29958, 29894, 392, 332, 1004, 29914, 8969, 11490, 29931, 29966, 9507, 29958, 4378, 29880, 29914, 21111, 943, 29914, 29880, 20397, 15755, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 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featurize/__init__.py	featurize/featurize-cli	0	101372	<gh_stars>0 import sys import os from json import JSONDecodeError from .featurize_client import FeaturizeClient def _find_token(): token_from_env = os.getenv('FEATURIZE_API_TOKEN') cfg_file = os.getenv('FEATURIZE_CFG_FILE', '/etc/featurize_token.txt') if token_from_env: return token_from_env try: with open(cfg_file, 'r') as f: return f.read() except FileNotFoundError: return None except JSONDecodeError: sys.exit(f'config file {cfg_file} parse error') def _find_instance_id(): return os.getenv('FEATURIZE_INSTANCE_ID') def create_client_from_env(): token = _find_token() instance_id = _find_instance_id() if token is None: sys.exit('Token is missed') return FeaturizeClient(token=token, instance_id=instance_id) __version__ = '0.0.22' __all__ = ['FeaturizeClient', 'create_client_from_env']	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 5215, 10876, 13, 5215, 2897, 13, 3166, 4390, 1053, 4663, 2772, 401, 2392, 13, 3166, 869, 1725, 1337, 675, 29918, 4645, 1053, 5169, 1337, 675, 4032, 13, 13, 13, 1753, 903, 2886, 29918, 6979, 7295, 13, 1678, 5993, 29918, 3166, 29918, 6272, 353, 2897, 29889, 657, 6272, 877, 16359, 1299, 15551, 10721, 29918, 8787, 29918, 4986, 29968, 1430, 1495, 13, 1678, 274, 16434, 29918, 1445, 353, 2897, 29889, 657, 6272, 877, 16359, 1299, 15551, 10721, 29918, 9207, 29954, 29918, 7724, 742, 8207, 7070, 29914, 1725, 1337, 675, 29918, 6979, 29889, 3945, 1495, 13, 1678, 565, 5993, 29918, 3166, 29918, 6272, 29901, 13, 4706, 736, 5993, 29918, 3166, 29918, 6272, 13, 1678, 1018, 29901, 13, 4706, 411, 1722, 29898, 16859, 29918, 1445, 29892, 525, 29878, 1495, 408, 285, 29901, 13, 9651, 736, 285, 29889, 949, 580, 13, 1678, 5174, 3497, 17413, 2392, 29901, 13, 4706, 736, 6213, 13, 1678, 5174, 4663, 2772, 401, 2392, 29901, 13, 4706, 10876, 29889, 13322, 29898, 29888, 29915, 2917, 934, 426, 16859, 29918, 1445, 29913, 6088, 1059, 1495, 13, 13, 13, 1753, 903, 2886, 29918, 8758, 29918, 333, 7295, 13, 1678, 736, 2897, 29889, 657, 6272, 877, 16359, 1299, 15551, 10721, 29918, 25580, 23219, 29918, 1367, 1495, 13, 13, 13, 1753, 1653, 29918, 4645, 29918, 3166, 29918, 6272, 7295, 13, 1678, 5993, 353, 903, 2886, 29918, 6979, 580, 13, 1678, 2777, 29918, 333, 353, 903, 2886, 29918, 8758, 29918, 333, 580, 13, 1678, 565, 5993, 338, 6213, 29901, 13, 4706, 10876, 29889, 13322, 877, 6066, 338, 13726, 1495, 13, 1678, 736, 5169, 1337, 675, 4032, 29898, 6979, 29922, 6979, 29892, 2777, 29918, 333, 29922, 8758, 29918, 333, 29897, 13, 13, 13, 1649, 3259, 1649, 353, 525, 29900, 29889, 29900, 29889, 29906, 29906, 29915, 13, 1649, 497, 1649, 353, 6024, 8263, 1337, 675, 4032, 742, 525, 3258, 29918, 4645, 29918, 3166, 29918, 6272, 2033, 13, 2 ]
python/0258. addDigits.py	whtahy/leetcode	1	157654	<reponame>whtahy/leetcode class Solution: def addDigits(self, num: int) -> int: while num > 9: num = sum(int(ch) for ch in str(num)) return num	[ 1, 529, 276, 1112, 420, 29958, 29893, 400, 801, 29891, 29914, 280, 300, 401, 13, 1990, 24380, 29901, 13, 1678, 822, 788, 14991, 1169, 29898, 1311, 29892, 954, 29901, 938, 29897, 1599, 938, 29901, 13, 4706, 1550, 954, 1405, 29871, 29929, 29901, 13, 9651, 954, 353, 2533, 29898, 524, 29898, 305, 29897, 363, 521, 297, 851, 29898, 1949, 876, 13, 4706, 736, 954, 13, 2 ]
motor_watch/status.py	pcdshub/motor_watch	0	137463	def process(status): status_info = {} status_info['name'] = status.pos.name status_info['target'] = status.target return status_info	[ 1, 822, 1889, 29898, 4882, 1125, 13, 1678, 4660, 29918, 3888, 353, 6571, 13, 1678, 4660, 29918, 3888, 1839, 978, 2033, 353, 4660, 29889, 1066, 29889, 978, 13, 1678, 4660, 29918, 3888, 1839, 5182, 2033, 353, 4660, 29889, 5182, 13, 1678, 736, 4660, 29918, 3888, 13, 2 ]
flask-gunicorn-mysql-nginx-compose/gunicorn.conf.py	xmmmmmovo/docker-config	0	1614212	import multiprocessing workers = multiprocessing.cpu_count() * 2 + 1 worker_class = "gevent" bind = "0.0.0.0:8888"	[ 1, 1053, 6674, 307, 985, 292, 13, 13, 1287, 414, 353, 6674, 307, 985, 292, 29889, 21970, 29918, 2798, 580, 334, 29871, 29906, 718, 29871, 29896, 13, 24602, 29918, 1990, 353, 376, 479, 794, 29908, 13, 5355, 353, 376, 29900, 29889, 29900, 29889, 29900, 29889, 29900, 29901, 29947, 29947, 29947, 29947, 29908, 13, 2 ]
O365/calendar.py	PhoenixAlx/py-o365	0	189296	import logging from enum import Enum from dateutil.parser import parse import datetime as dt import pytz import calendar from bs4 import BeautifulSoup as bs from O365.utils import Pagination, NEXT_LINK_KEYWORD, ApiComponent, Attachments, Attachment, \ AttachableMixin, ImportanceLevel, TrackerSet from O365.message import HandleRecipientsMixin log = logging.getLogger(__name__) MONTH_NAMES = [calendar.month_name[x] for x in range(1, 13)] class EventResponse(Enum): Organizer = 'organizer' TentativelyAccepted = 'tentativelyAccepted' Accepted = 'accepted' Declined = 'declined' NotResponded = 'notResponded' class AttendeeType(Enum): Required = 'required' Optional = 'optional' Resource = 'resource' class EventSensitivity(Enum): Normal = 'normal' Personal = 'personal' Private = 'private' Confidential = 'confidential' class EventShowAs(Enum): Free = 'free' Tentative = 'tentative' Busy = 'busy' Oof = 'oof' WorkingElsewhere = 'workingElsewhere' Unknown = 'unknown' class CalendarColors(Enum): LightBlue = 0 LightGreen = 1 LightOrange = 2 LightGray = 3 LightYellow = 4 LightTeal = 5 LightPink = 6 LightBrown = 7 LightRed = 8 MaxColor = 9 Auto = -1 class EventAttachment(Attachment): _endpoints = {'attach': '/events/{id}/attachments'} class EventAttachments(Attachments): _endpoints = {'attachments': '/events/{id}/attachments'} class DailyEventFrequency: def __init__(self, recurrence_type, interval): self.recurrence_type = recurrence_type self.interval = interval class EventRecurrence(ApiComponent): """ A representation of an event recurrence properties """ def __init__(self, event, recurrence=None): super().__init__(protocol=event.protocol, main_resource=event.main_resource) self._event = event recurrence = recurrence or {} # recurrence pattern recurrence_pattern = recurrence.get(self._cc('pattern'), {}) self.__interval = recurrence_pattern.get(self._cc('interval'), None) self.__days_of_week = recurrence_pattern.get(self._cc('daysOfWeek'), set()) self.__first_day_of_week = recurrence_pattern.get(self._cc('firstDayOfWeek'), None) self.__day_of_month = recurrence_pattern.get(self._cc('dayOfMonth'), None) self.__month = recurrence_pattern.get(self._cc('month'), None) self.__index = recurrence_pattern.get(self._cc('index'), 'first') # recurrence range recurrence_range = recurrence.get(self._cc('range'), {}) self.__ocurrences = recurrence_range.get(self._cc('numberOfOccurrences'), None) self.__start_date = recurrence_range.get(self._cc('startDate'), None) self.__end_date = recurrence_range.get(self._cc('endDate'), None) self.__recurrence_time_zone = recurrence_range.get(self._cc('recurrenceTimeZone'), self.protocol.get_windows_tz()) # time and time zones are not considered in recurrence ranges... # I don't know why 'recurrenceTimeZone' is present here # Sending a startDate datetime to the server results in an Error: # "Cannot convert the literal 'datetime' to the expected type 'Edm.Date'" if recurrence_range: self.__start_date = parse(self.__start_date).date() if self.__start_date else None self.__end_date = parse(self.__end_date).date() if self.__end_date else None def __str__(self): if self.__interval: pattern = 'Daily: every {} day/s'.format(self.__interval) if self.__days_of_week: days = ' or '.join(list(self.__days_of_week)) pattern = 'Relative Monthly: {} {} every {} month/s'.format(self.__index, days, self.__interval) if self.__first_day_of_week: pattern = 'Weekly: every {} week/s on {}'.format(self.__interval, days) elif self.__month: pattern = 'Relative Yearly: {} {} every {} year/s on {}'.format(self.__index, days, self.__interval, MONTH_NAMES[self.__month - 1]) elif self.__day_of_month: pattern = 'Absolute Monthly: on day {} every {} month/s'.format(self.__day_of_month, self.__interval) if self.__month: pattern = 'Absolute Yearly: on {} {} every {} year/s'.format(MONTH_NAMES[self.__month - 1], self.__day_of_month, self.__interval) r_range = '' if self.__start_date: r_range = 'Starting on {}'.format(self.__start_date) ends_on = 'with no end' if self.__end_date: ends_on = 'ending on {}'.format(self.__end_date) elif self.__ocurrences: ends_on = 'up to {} ocurrences'.format(self.__ocurrences) r_range = '{} {}'.format(r_range, ends_on) return '{}. {}'.format(pattern, r_range) else: return 'No recurrence enabled' def __repr__(self): return self.__str__() def __bool__(self): return bool(self.__interval) def _track_changes(self): """ Update the track_changes on the event to reflect a needed update on this field """ self._event._track_changes.add('recurrence') @property def interval(self): return self.__interval @interval.setter def interval(self, value): self.__interval = value self._track_changes() @property def days_of_week(self): return self.__days_of_week @days_of_week.setter def days_of_week(self, value): self.__days_of_week = value self._track_changes() @property def first_day_of_week(self): return self.__first_day_of_week @first_day_of_week.setter def first_day_of_week(self, value): self.__first_day_of_week = value self._track_changes() @property def day_of_month(self): return self.__day_of_month @day_of_month.setter def day_of_month(self, value): self.__day_of_month = value self._track_changes() @property def month(self): return self.__month @month.setter def month(self, value): self.__month = value self._track_changes() @property def index(self): return self.__index @index.setter def index(self, value): self.__index = value self._track_changes() @property def ocurrences(self): return self.__ocurrences @ocurrences.setter def ocurrences(self, value): self.__ocurrences = value self._track_changes() @property def recurrence_time_zone(self): return self.__recurrence_time_zone @recurrence_time_zone.setter def recurrence_time_zone(self, value): self.__recurrence_time_zone = value self._track_changes() @property def start_date(self): return self.__start_date @start_date.setter def start_date(self, value): if not isinstance(value, dt.date): raise ValueError('start_date value must be a valid date object') if isinstance(value, dt.datetime): value = value.date() self.__start_date = value self._track_changes() @property def end_date(self): return self.__start_date @end_date.setter def end_date(self, value): if not isinstance(value, dt.date): raise ValueError('end_date value must be a valid date object') if isinstance(value, dt.datetime): value = value.date() self.__end_date = value self._track_changes() def to_api_data(self): data = {} # recurrence pattern if self.__interval and isinstance(self.__interval, int): recurrence_pattern = data[self._cc('pattern')] = {} recurrence_pattern[self._cc('type')] = 'daily' recurrence_pattern[self._cc('interval')] = self.__interval if self.__days_of_week and isinstance(self.__days_of_week, (list, tuple, set)): recurrence_pattern[self._cc('type')] = 'relativeMonthly' recurrence_pattern[self._cc('daysOfWeek')] = list(self.__days_of_week) if self.__first_day_of_week: recurrence_pattern[self._cc('type')] = 'weekly' recurrence_pattern[self._cc('firstDayOfWeek')] = self.__first_day_of_week elif self.__month and isinstance(self.__month, int): recurrence_pattern[self._cc('type')] = 'relativeYearly' recurrence_pattern[self._cc('month')] = self.__month if self.__index: recurrence_pattern[self._cc('index')] = self.__index else: if self.__index: recurrence_pattern[self._cc('index')] = self.__index elif self.__day_of_month and isinstance(self.__day_of_month, int): recurrence_pattern[self._cc('type')] = 'absoluteMonthly' recurrence_pattern[self._cc('dayOfMonth')] = self.__day_of_month if self.__month and isinstance(self.__month, int): recurrence_pattern[self._cc('type')] = 'absoluteYearly' recurrence_pattern[self._cc('month')] = self.__month # recurrence range if self.__start_date: recurrence_range = data[self._cc('range')] = {} recurrence_range[self._cc('type')] = 'noEnd' recurrence_range[self._cc('startDate')] = self.__start_date.isoformat() recurrence_range[self._cc('recurrenceTimeZone')] = self.__recurrence_time_zone if self.__end_date: recurrence_range[self._cc('type')] = 'endDate' recurrence_range[self._cc('endDate')] = self.__end_date.isoformat() elif self.__ocurrences is not None and isinstance(self.__ocurrences, int): recurrence_range[self._cc('type')] = 'numbered' recurrence_range[self._cc('numberOfOccurrences')] = self.__ocurrences return data def _clear_pattern(self): """ Clears this event recurrence """ # pattern group self.__interval = None self.__days_of_week = set() self.__first_day_of_week = None self.__day_of_month = None self.__month = None self.__index = 'first' # range group self.__start_date = None self.__end_date = None self.__ocurrences = None def set_range(self, start=None, end=None, ocurrences=None): if start is None: if self.__start_date is None: self.__start_date = dt.date.today() else: self.start_date = start if end: self.end_date = end elif ocurrences: self.__ocurrences = ocurrences self._track_changes() def set_daily(self, interval, kwargs): self._clear_pattern() self.__interval = interval self.set_range(kwargs) def set_weekly(self, interval, , days_of_week, first_day_of_week, kwargs): self.set_daily(interval, kwargs) self.__days_of_week = set(days_of_week) self.__first_day_of_week = first_day_of_week def set_monthly(self, interval, , day_of_month=None, days_of_week=None, index=None, kwargs): if not day_of_month and not days_of_week: raise ValueError('Must provide day_of_month or days_of_week values') if day_of_month and days_of_week: raise ValueError('Must provide only one of the two options') self.set_daily(interval, kwargs) if day_of_month: self.__day_of_month = day_of_month elif days_of_week: self.__days_of_week = set(days_of_week) if index: self.__index = index def set_yearly(self, interval, month, , day_of_month=None, days_of_week=None, index=None, kwargs): self.set_monthly(interval, day_of_month=day_of_month, days_of_week=days_of_week, index=index, kwargs) self.__month = month class ResponseStatus(ApiComponent): """ An event response status (status, time) """ def __init__(self, parent, response_status): super().__init__(protocol=parent.protocol, main_resource=parent.main_resource) self.status = response_status.get(self._cc('response'), None) self.status = None if self.status == 'none' else self.status if self.status: self.response_time = response_status.get(self._cc('time'), None) if self.response_time: self.response_time = parse(self.response_time).astimezone(self.protocol.timezone) else: self.response_time = None def __str__(self): return self.status def __repr__(self): return self.__str__() class Attendee: """ A Event attendee """ def __init__(self, address, , name=None, attendee_type=None, response_status=None, event=None): self._address = address self._name = name self._event = event if isinstance(response_status, ResponseStatus): self.__response_status = response_status else: self.__response_status = None self.__attendee_type = AttendeeType.Required if attendee_type: self.attendee_type = attendee_type def __str__(self): if self.name: return '{}: {} ({})'.format(self.attendee_type.name, self.name, self.address) else: return '{}: {}'.format(self.attendee_type.name, self.address) def __repr__(self): return self.__str__() @property def address(self): return self._address @address.setter def address(self, value): self._address = value self._name = '' self._track_changes() @property def name(self): return self._name @name.setter def name(self, value): self._name = value self._track_changes() def _track_changes(self): """ Update the track_changes on the event to reflect a needed update on this field """ self._event._track_changes.add('attendees') @property def response_status(self): return self.__response_status @property def attendee_type(self): return self.__attendee_type @attendee_type.setter def attendee_type(self, value): if isinstance(value, AttendeeType): self.__attendee_type = value else: self.__attendee_type = AttendeeType(value) self._track_changes() class Attendees(ApiComponent): """ A Collection of Attendees """ def __init__(self, event, attendees=None): super().__init__(protocol=event.protocol, main_resource=event.main_resource) self._event = event self.__attendees = [] if attendees: self.add(attendees) def __iter__(self): return iter(self.__attendees) def __getitem__(self, key): return self.__attendees[key] def __contains__(self, item): return item in {attendee.email for attendee in self.__attendees} def __len__(self): return len(self.__attendees) def __str__(self): return 'Attendees Count: {}'.format(len(self.__attendees)) def __repr__(self): return self.__str__() def clear(self): self.__attendees = [] self._track_changes() def _track_changes(self): """ Update the track_changes on the event to reflect a needed update on this field """ self._event._track_changes.add('attendees') def add(self, attendees): """ Add attendees to the parent event """ if attendees: if isinstance(attendees, str): self.__attendees.append(Attendee(address=attendees, event=self._event)) self._track_changes() elif isinstance(attendees, Attendee): self.__attendees.append(attendees) self._track_changes() elif isinstance(attendees, tuple): name, address = attendees if address: self.__attendees.append(Attendee(address=address, name=name, event=self._event)) self._track_changes() elif isinstance(attendees, list): for attendee in attendees: self.add(attendee) elif isinstance(attendees, dict) and self._cloud_data_key in attendees: attendees = attendees.get(self._cloud_data_key) for attendee in attendees: email = attendee.get(self._cc('emailAddress'), {}) address = email.get(self._cc('address'), None) if address: name = email.get(self._cc('name'), None) attendee_type = attendee.get(self._cc('type'), 'required') # default value self.__attendees.append( Attendee(address=address, name=name, attendee_type=attendee_type, event=self._event, response_status=ResponseStatus(parent=self, response_status=attendee.get(self._cc('status'), {})))) else: raise ValueError('Attendees must be an address string, an' ' Attendee instance, a (name, address) tuple or a list') def remove(self, attendees): """ Remove the provided attendees from the event """ if isinstance(attendees, (list, tuple)): attendees = {attendee.address if isinstance(attendee, Attendee) else attendee for attendee in attendees} elif isinstance(attendees, str): attendees = {attendees} elif isinstance(attendees, Attendee): attendees = {attendees.address} else: raise ValueError('Incorrect parameter type for attendees') new_attendees = [] for attendee in self.__attendees: if attendee.address not in attendees: new_attendees.append(attendee) self.__attendees = new_attendees self._track_changes() def to_api_data(self): data = [] for attendee in self.__attendees: if attendee.address: att_data = { self._cc('emailAddress'): { self._cc('address'): attendee.address, self._cc('name'): attendee.name }, self._cc('type'): attendee.attendee_type.value } data.append(att_data) return data class Event(ApiComponent, AttachableMixin, HandleRecipientsMixin): """ A Calendar event """ _endpoints = { 'calendar': '/calendars/{id}', 'event': '/events/{id}', 'event_default': '/calendar/events', 'event_calendar': '/calendars/{id}/events' } def __init__(self, , parent=None, con=None, kwargs): assert parent or con, 'Need a parent or a connection' self.con = parent.con if parent else con # Choose the main_resource passed in kwargs over the parent main_resource main_resource = kwargs.pop('main_resource', None) or getattr(parent, 'main_resource', None) if parent else None super().__init__(protocol=parent.protocol if parent else kwargs.get('protocol'), main_resource=main_resource) cc = self._cc # alias self._track_changes = TrackerSet(casing=cc) # internal to know which properties need to be updated on the server self.calendar_id = kwargs.get('calendar_id', None) download_attachments = kwargs.get('download_attachments') cloud_data = kwargs.get(self._cloud_data_key, {}) self.object_id = cloud_data.get(cc('id'), None) self.__subject = cloud_data.get(cc('subject'), kwargs.get('subject', '') or '') body = cloud_data.get(cc('body'), {}) self.__body = body.get(cc('content'), '') self.body_type = body.get(cc('contentType'), 'HTML') # default to HTML for new messages self.__attendees = Attendees(event=self, attendees={self._cloud_data_key: cloud_data.get(cc('attendees'), [])}) self.__categories = cloud_data.get(cc('categories'), []) self.__created = cloud_data.get(cc('createdDateTime'), None) self.__modified = cloud_data.get(cc('lastModifiedDateTime'), None) local_tz = self.protocol.timezone self.__created = parse(self.__created).astimezone(local_tz) if self.__created else None self.__modified = parse(self.__modified).astimezone(local_tz) if self.__modified else None start_obj = cloud_data.get(cc('start'), {}) if isinstance(start_obj, dict): try: timezone = pytz.timezone(self.protocol.get_iana_tz(start_obj.get(self._cc('timeZone'), 'UTC'))) except pytz.UnknownTimeZoneError: timezone = local_tz start = start_obj.get(cc('dateTime'), None) start = timezone.localize(parse(start)) if start else None if start and timezone != local_tz: start = start.astimezone(local_tz) else: # Outlook v1.0 api compatibility start = local_tz.localize(parse(start_obj)) if start_obj else None self.__start = start end_obj = cloud_data.get(cc('end'), {}) if isinstance(end_obj, dict): try: timezone = pytz.timezone(self.protocol.get_iana_tz(end_obj.get(self._cc('timeZone'), 'UTC'))) except pytz.UnknownTimeZoneError: timezone = local_tz end = end_obj.get(cc('dateTime'), None) end = timezone.localize(parse(end)) if end else None if end and timezone != local_tz: end = end.astimezone(local_tz) else: # Outlook v1.0 api compatibility end = local_tz.localize(parse(end_obj)) if end_obj else None self.__end = end self.has_attachments = cloud_data.get(cc('hasAttachments'), False) self.__attachments = EventAttachments(parent=self, attachments=[]) if self.has_attachments and download_attachments: self.attachments.download_attachments() self.__categories = cloud_data.get(cc('categories'), []) self.ical_uid = cloud_data.get(cc('iCalUId'), None) self.__importance = ImportanceLevel(cloud_data.get(cc('importance'), 'normal') or 'normal') self.__is_all_day = cloud_data.get(cc('isAllDay'), False) self.is_cancelled = cloud_data.get(cc('isCancelled'), False) self.is_organizer = cloud_data.get(cc('isOrganizer'), True) self.__location = cloud_data.get(cc('location'), {}).get(cc('displayName'), '') self.locations = cloud_data.get(cc('locations'), []) # TODO self.online_meeting_url = cloud_data.get(cc('onlineMeetingUrl'), None) self.__organizer = self._recipient_from_cloud(cloud_data.get(cc('organizer'), None), field='organizer') self.__recurrence = EventRecurrence(event=self, recurrence=cloud_data.get(cc('recurrence'), None)) self.__is_reminder_on = cloud_data.get(cc('isReminderOn'), True) self.__remind_before_minutes = cloud_data.get(cc('reminderMinutesBeforeStart'), 15) self.__response_requested = cloud_data.get(cc('responseRequested'), True) self.__response_status = ResponseStatus(parent=self, response_status=cloud_data.get(cc('responseStatus'), {})) self.__sensitivity = EventSensitivity(cloud_data.get(cc('sensitivity'), 'normal')) self.series_master_id = cloud_data.get(cc('seriesMasterId'), None) self.__show_as = EventShowAs(cloud_data.get(cc('showAs'), 'busy')) self.event_type = cloud_data.get(cc('type'), None) def __str__(self): return 'Subject: {}'.format(self.subject) def __repr__(self): return self.__str__() def to_api_data(self, restrict_keys=None): """ Returns a dict to comunicate with the server :param restrict_keys: a set of keys to restrict the returned data to. """ cc = self._cc # alias data = { cc('subject'): self.__subject, cc('body'): { cc('contentType'): self.body_type, cc('content'): self.__body}, cc('start'): { cc('dateTime'): self.__start.strftime('%Y-%m-%dT%H:%M:%S'), cc('timeZone'): self.protocol.get_windows_tz(self.__start.tzinfo.zone) }, cc('end'): { cc('dateTime'): self.__end.strftime('%Y-%m-%dT%H:%M:%S'), cc('timeZone'): self.protocol.get_windows_tz(self.__end.tzinfo.zone) }, cc('attendees'): self.__attendees.to_api_data(), cc('location'): {cc('displayName'): self.__location}, cc('categories'): self.__categories, cc('isAllDay'): self.__is_all_day, cc('importance'): self.__importance.value, cc('isReminderOn'): self.__is_reminder_on, cc('reminderMinutesBeforeStart'): self.__remind_before_minutes, cc('responseRequested'): self.__response_requested, cc('sensitivity'): self.__sensitivity.value, cc('showAs'): self.__show_as.value, } if self.__recurrence: data[cc('recurrence')] = self.__recurrence.to_api_data() if self.has_attachments: data[cc('attachments')] = self.__attachments.to_api_data() if restrict_keys: for key in list(data.keys()): if key not in restrict_keys: del data[key] return data @property def created(self): return self.__created @property def modified(self): return self.__modified @property def body(self): return self.__body @body.setter def body(self, value): self.__body = value self._track_changes.add('body') @property def subject(self): return self.__subject @subject.setter def subject(self, value): self.__subject = value self._track_changes.add('subject') @property def start(self): return self.__start @start.setter def start(self, value): if not isinstance(value, dt.date): raise ValueError("'start' must be a valid datetime object") if not isinstance(value, dt.datetime): # force datetime value = dt.datetime(value.year, value.month, value.day) if value.tzinfo is None: # localize datetime value = self.protocol.timezone.localize(value) elif value.tzinfo != self.protocol.timezone: value = value.astimezone(self.protocol.timezone) self.__start = value if not self.end: self.end = self.__start + dt.timedelta(minutes=30) self._track_changes.add('start') @property def end(self): return self.__end @end.setter def end(self, value): if not isinstance(value, dt.date): raise ValueError("'end' must be a valid datetime object") if not isinstance(value, dt.datetime): # force datetime value = dt.datetime(value.year, value.month, value.day) if value.tzinfo is None: # localize datetime value = self.protocol.timezone.localize(value) elif value.tzinfo != self.protocol.timezone: value = value.astimezone(self.protocol.timezone) self.__end = value self._track_changes.add('end') @property def importance(self): return self.__importance @importance.setter def importance(self, value): self.__importance = value if isinstance(value, ImportanceLevel) else ImportanceLevel(value) self._track_changes.add('importance') @property def is_all_day(self): return self.__is_all_day @is_all_day.setter def is_all_day(self, value): self.__is_all_day = value if value: # Api requirement: start and end must be set to midnight # is_all_day needs event.start included in the request on updates # is_all_day needs event.end included in the request on updates start = self.__start or dt.date.today() end = self.__end or dt.date.today() if (start + dt.timedelta(hours=24)) > end: # Api requires that under is_all_day=True start and end must be at least 24 hours away end = start + dt.timedelta(hours=24) # set to midnight start = dt.datetime(start.year, start.month, start.day) end = dt.datetime(end.year, end.month, end.day) self.start = start self.end = end self._track_changes.add('isAllDay') @property def location(self): return self.__location @location.setter def location(self, value): self.__location = value self._track_changes.add('location') @property def is_reminder_on(self): return self.__is_reminder_on @is_reminder_on.setter def is_reminder_on(self, value): self.__is_reminder_on = value self._track_changes.add('isReminderOn') self._track_changes.add('reminderMinutesBeforeStart') @property def remind_before_minutes(self): return self.__remind_before_minutes @remind_before_minutes.setter def remind_before_minutes(self, value): self.__is_reminder_on = True self.__remind_before_minutes = int(value) self._track_changes.add('isReminderOn') self._track_changes.add('reminderMinutesBeforeStart') @property def response_requested(self): return self.__response_requested @response_requested.setter def response_requested(self, value): self.__response_requested = value self._track_changes.add('responseRequested') @property def recurrence(self): return self.__recurrence @property def organizer(self): return self.__organizer @property def show_as(self): return self.__show_as @show_as.setter def show_as(self, value): self.__show_as = value if isinstance(value, EventShowAs) else EventShowAs(value) self._track_changes.add('showAs') @property def sensitivity(self): return self.__sensitivity @sensitivity.setter def sensitivity(self, value): self.__sensitivity = value if isinstance(value, EventSensitivity) else EventSensitivity(value) self._track_changes.add('sensitivity') @property def response_status(self): return self.__response_status @property def attachments(self): return self.__attachments @property def attendees(self): return self.__attendees @property def categories(self): return self.__categories @categories.setter def categories(self, value): if isinstance(value, list): self.__categories = value elif isinstance(value, str): self.__categories = [value] elif isinstance(value, tuple): self.__categories = list(value) else: raise ValueError('categories must be a list') self._track_changes.add('categories') def delete(self): """ Deletes a stored event """ if self.object_id is None: raise RuntimeError('Attempting to delete an unsaved event') url = self.build_url(self._endpoints.get('event').format(id=self.object_id)) try: response = self.con.delete(url) except Exception as e: log.error('Event (id: {}) could not be deleted. Error: {}'.format(self.object_id, str(e))) return False if response.status_code != 204: log.debug('Event (id: {}) could not be deleted. Reason: {}'.format(self.object_id, response.reason)) return False return True def save(self): """ Create a new event or update an existing one by checking what values have changed and update them on the server """ if self.object_id: # update event if not self._track_changes: return True # there's nothing to update url = self.build_url(self._endpoints.get('event').format(id=self.object_id)) method = self.con.patch data = self.to_api_data(restrict_keys=self._track_changes) else: # new event if self.calendar_id: url = self.build_url(self._endpoints.get('event_calendar').format(id=self.calendar_id)) else: url = self.build_url(self._endpoints.get('event_default')) method = self.con.post data = self.to_api_data() try: log.debug('Saving event properties: {}'.format(data.keys())) response = method(url, data=data) except Exception as e: log.error('Error while saving event. Error: {error}'.format(error=str(e))) return False if response.status_code not in (200, 201): # 200 updated, 201 created log.debug('Saving event Request failed: {}'.format(response.reason)) return False if not self.object_id: # new event event = response.json() self.object_id = event.get(self._cc('id'), None) self.__created = event.get(self._cc('createdDateTime'), None) self.__modified = event.get(self._cc('lastModifiedDateTime'), None) self.__created = parse(self.__created).astimezone(self.protocol.timezone) if self.__created else None self.__modified = parse(self.__modified).astimezone(self.protocol.timezone) if self.__modified else None else: self.__modified = self.protocol.timezone.localize(dt.datetime.now()) return True def accept_event(self, comment=None, , send_response=True, tentatively=False): if not self.object_id: raise RuntimeError("Can't accept event that doesn't exist") url = self.build_url(self._endpoints.get('event').format(id=self.object_id)) url = url + '/tentativelyAccept' if tentatively else '/accept' data = {} if comment and isinstance(comment, str): data[self._cc('comment')] = comment if send_response is False: data[self._cc('sendResponse')] = send_response try: response = self.con.post(url, data=data or None) except Exception as e: log.error('Error while accepting event. Error: {error}'.format(error=str(e))) return False if response.status_code != 202: log.debug('Accepting event Request failed: {}'.format(response.reason)) return False return True def decline_event(self, comment=None, , send_response=True): if not self.object_id: raise RuntimeError("Can't accept event that doesn't exist") url = self.build_url(self._endpoints.get('event').format(id=self.object_id)) url = url + '/decline' data = {} if comment and isinstance(comment, str): data[self._cc('comment')] = comment if send_response is False: data[self._cc('sendResponse')] = send_response try: response = self.con.post(url, data=data or None) except Exception as e: log.error('Error while declining event. Error: {error}'.format(error=str(e))) return False if response.status_code != 202: log.debug('Declining event Request failed: {}'.format(response.reason)) return False return True def get_body_text(self): """ Parse the body html and returns the body text using bs4 """ if self.body_type != 'HTML': return self.body try: soup = bs(self.body, 'html.parser') except Exception as e: return self.body else: return soup.body.text def get_body_soup(self): """ Returns the beautifulsoup4 of the html body""" if self.body_type != 'HTML': return None else: return bs(self.body, 'html.parser') class Calendar(ApiComponent, HandleRecipientsMixin): """ A Calendar Representation """ _endpoints = { 'calendar': '/calendars/{id}', 'get_events': '/calendars/{id}/events', 'get_event': '/calendars/{id}/events/{ide}' } event_constructor = Event def __init__(self, , parent=None, con=None, *kwargs): assert parent or con, 'Need a parent or a connection' self.con = parent.con if parent else con # Choose the main_resource passed in kwargs over the parent main_resource main_resource = kwargs.pop('main_resource', None) or getattr(parent, 'main_resource', None) if parent else None super().__init__(protocol=parent.protocol if parent else kwargs.get('protocol'), main_resource=main_resource) cloud_data = kwargs.get(self._cloud_data_key, {}) self.name = cloud_data.get(self._cc('name'), '') self.calendar_id = cloud_data.get(self._cc('id'), None) self.__owner = self._recipient_from_cloud(cloud_data.get(self._cc('owner'), {}), field='owner') color = cloud_data.get(self._cc('color'), -1) if isinstance(color, str): color = -1 if color == 'auto' else color # TODO: other string colors? self.color = CalendarColors(color) self.can_edit = cloud_data.get(self._cc('canEdit'), False) self.can_share = cloud_data.get(self._cc('canShare'), False) self.can_view_private_items = cloud_data.get(self._cc('canViewPrivateItems'), False) def __str__(self): return 'Calendar: {} from {}'.format(self.name, self.owner) def __repr__(self): return self.__str__() @property def owner(self): return self.__owner def update(self): """ Updates this calendar. Only name and color can be changed. """ if not self.calendar_id: return False url = self.build_url(self._endpoints.get('calendar')) data = { self._cc('name'): self.name, self._cc('color'): self.color.value if isinstance(self.color, CalendarColors) else self.color } try: response = self.con.patch(url, data=data) except Exception as e: log.error('Error updating calendar {}. Error: {}'.format(self.calendar_id, str(e))) return False if response.status_code != 201: log.debug('Updating calendar (id: {}) Request failed: {}'.format(self.calendar_id, response.reason)) return False return True def delete(self): """ Deletes this calendar """ if not self.calendar_id: return False url = self.build_url(self._endpoints.get('calendar').format(id=self.calendar_id)) try: response = self.con.delete(url) except Exception as e: log.error('Error deleting calendar {}. Error: {}'.format(self.name, str(e))) return False if response.status_code != 204: log.debug('Deleting calendar Request failed: {}'.format(response.reason)) return False self.calendar_id = None return True def get_events(self, limit=25, , query=None, order_by=None, batch=None, download_attachments=False): """ Get events from the default Calendar :param limit: limits the result set. Over 999 uses batch. :param query: applies a filter to the request such as 'displayName:HelloFolder' :param order_by: orders the result set based on this condition :param batch: Returns a custom iterator that retrieves items in batches allowing to retrieve more items than the limit. Download_attachments is ignored. :param download_attachments: downloads event attachments """ url = self.build_url(self._endpoints.get('get_events').format(id=self.calendar_id)) if limit is None or limit > self.protocol.max_top_value: batch = self.protocol.max_top_value if batch: download_attachments = False params = {'$top': batch if batch else limit} if order_by: params['$orderby'] = order_by if query: if isinstance(query, str): params['$filter'] = query else: params.update(query.as_params()) try: response = self.con.get(url, params=params, headers={'Prefer': 'outlook.timezone="UTC"'}) except Exception as e: log.error('Error donwloading events. Error {}'.format(e)) return [] if response.status_code != 200: log.debug('Getting events Request failed: {}'.format(response.reason)) return [] data = response.json() # Everything received from the cloud must be passed with self._cloud_data_key events = [self.event_constructor(parent=self, download_attachments=download_attachments, {self._cloud_data_key: event}) for event in data.get('value', [])] if batch: return Pagination(parent=self, data=events, constructor=self.event_constructor, next_link=data.get(NEXT_LINK_KEYWORD, None), limit=limit) else: return events def new_event(self, subject=None): """ Returns a new (unsaved) Event object """ return self.event_constructor(parent=self, subject=subject, calendar_id=self.calendar_id) def get_event(self, param): """Returns an Event instance by it's id :param param: an event_id or a Query instance """ if param is None: return None if isinstance(param, str): url = self.build_url(self._endpoints.get('get_event').format(id=self.calendar_id, ide=param)) params = None else: url = self.build_url(self._endpoints.get('get_events').format(id=self.calendar_id)) params = {'$top': 1} params.update(param.as_params()) try: response = self.con.get(url, params=params, headers={'Prefer': 'outlook.timezone="UTC"'}) except Exception as e: log.error('Error getting event: {}. Error {}'.format(param, e)) return None if response.status_code != 200: log.debug('Getting event Request failed: {}'.format(response.reason)) return None if isinstance(param, str): event = response.json() else: event = response.json().get('value', []) if event: event = event[0] else: return None return self.event_constructor(parent=self, {self._cloud_data_key: event}) class Schedule(ApiComponent): """ A Wrapper around calendars and events""" _endpoints = { 'root_calendars': '/calendars', 'get_calendar': '/calendars/{id}', 'default_calendar': '/calendar', 'events': '/calendar/events' } calendar_constructor = Calendar event_constructor = Event def __init__(self, , parent=None, con=None, kwargs): assert parent or con, 'Need a parent or a connection' self.con = parent.con if parent else con # Choose the main_resource passed in kwargs over the parent main_resource main_resource = kwargs.pop('main_resource', None) or getattr(parent, 'main_resource', None) if parent else None super().__init__(protocol=parent.protocol if parent else kwargs.get('protocol'), main_resource=main_resource) def __str__(self): return 'Schedule resource: {}'.format(self.main_resource) def __repr__(self): return self.__str__() def list_calendars(self, limit=None, , query=None, order_by=None): """ Gets a list of calendars To use query an order_by check the OData specification here: http://docs.oasis-open.org/odata/odata/v4.0/errata03/os/complete/part2-url-conventions/odata-v4.0-errata03-os-part2-url-conventions-complete.html :param limit: Number of elements to return. :param query: a OData valid filter clause :param order_by: OData valid order by clause """ url = self.build_url(self._endpoints.get('root_calendars')) params = {} if limit: params['$top'] = limit if query: params['$filter'] = str(query) if order_by: params['$orderby'] = order_by try: response = self.con.get(url, params=params or None) except Exception as e: log.error('Error getting calendars. Error {}'.format(str(e))) return [] if response.status_code != 200: log.debug('Getting calendars Request failed: {}'.format(response.reason)) return [] data = response.json() # Everything received from the cloud must be passed with self._cloud_data_key contacts = [self.calendar_constructor(parent=self, {self._cloud_data_key: calendar}) for calendar in data.get('value', [])] return contacts def new_calendar(self, calendar_name): """ Creates a new calendar :return a new Calendar instance """ if not calendar_name: return None url = self.build_url(self._endpoints.get('root_calendars')) try: response = self.con.post(url, data={self._cc('name'): calendar_name}) except Exception as e: log.error('Error creating new calendar. Error: {}'.format(str(e))) return None if response.status_code != 201: log.debug('Creating new calendar Request failed: {}'.format(response.reason)) return None calendar = response.json() # Everything received from the cloud must be passed with self._cloud_data_key return self.calendar_constructor(parent=self, {self._cloud_data_key: calendar}) def get_calendar(self, calendar_id=None, calendar_name=None): """ Returns a calendar by it's id or name :param calendar_id: the calendar id to be retrieved. :param calendar_name: the calendar name to be retrieved. """ if calendar_id and calendar_name: raise RuntimeError('Provide only one of the options') if not calendar_id and not calendar_name: raise RuntimeError('Provide one of the options') if calendar_id: # get calendar by it's id url = self.build_url(self._endpoints.get('get_calendar').format(id=calendar_id)) params = None else: # get calendar by name url = self.build_url(self._endpoints.get('root_calendars')) params = {'$filter': "{} eq '{}'".format(self._cc('name'), calendar_name), '$top': 1} try: response = self.con.get(url, params=params) except Exception as e: log.error('Error getting calendar {}. Error: {}'.format(calendar_id or calendar_name, str(e))) return None if response.status_code != 200: log.debug('Getting calendar Request failed: {}'.format(response.reason)) return None if calendar_id: calendar = response.json() else: calendar = response.json().get('value') calendar = calendar[0] if calendar else None if calendar is None: return None # Everything received from the cloud must be passed with self._cloud_data_key return self.calendar_constructor(parent=self, {self._cloud_data_key: calendar}) def get_default_calendar(self): """ Returns the default calendar for the current user """ url = self.build_url(self._endpoints.get('default_calendar')) try: response = self.con.get(url) except Exception as e: log.error('Error getting default calendar. Error: {}'.format(e)) return None if response.status_code != 200: log.debug('Getting default calendar Request failed: {}'.format(response.reason)) return None calendar = response.json() # Everything received from the cloud must be passed with self._cloud_data_key return self.calendar_constructor(parent=self, {self._cloud_data_key: calendar}) def get_events(self, limit=25, , query=None, order_by=None, batch=None, download_attachments=False): """ Get events from the default Calendar :param limit: limits the result set. Over 999 uses batch. :param query: applies a filter to the request such as 'displayName:HelloFolder' :param order_by: orders the result set based on this condition :param batch: Returns a custom iterator that retrieves items in batches allowing to retrieve more items than the limit. Download_attachments is ignored. :param download_attachments: downloads event attachments """ url = self.build_url(self._endpoints.get('events')) if limit is None or limit > self.protocol.max_top_value: batch = self.protocol.max_top_value if batch: download_attachments = False params = {'$top': batch if batch else limit} if order_by: params['$orderby'] = order_by if query: if isinstance(query, str): params['$filter'] = query else: params.update(query.as_params()) try: response = self.con.get(url, params=params, headers={'Prefer': 'outlook.timezone="UTC"'}) except Exception as e: log.error('Error donwloading events. Error {}'.format(e)) return [] if response.status_code != 200: log.debug('Getting events Request failed: {}'.format(response.reason)) return [] data = response.json() # Everything received from the cloud must be passed with self._cloud_data_key events = [self.event_constructor(parent=self, download_attachments=download_attachments, *{self._cloud_data_key: event}) for event in data.get('value', [])] if batch: return Pagination(parent=self, data=events, constructor=self.event_constructor, next_link=data.get(NEXT_LINK_KEYWORD, None), limit=limit) else: return events def new_event(self, subject=None): """ Returns a new (unsaved) Event object in the default calendar """ return self.event_constructor(parent=self, subject=subject)	[ 1, 1053, 12183, 13, 3166, 14115, 1053, 1174, 398, 13, 3166, 2635, 4422, 29889, 16680, 1053, 6088, 13, 5215, 12865, 408, 11636, 13, 5215, 282, 3637, 29920, 13, 5215, 17684, 13, 3166, 24512, 29946, 1053, 25685, 29903, 1132, 408, 24512, 13, 13, 3166, 438, 29941, 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axelrod/tests/strategies/test_gambler.py	nandhinianandj/Axelrod	596	130818	<filename>axelrod/tests/strategies/test_gambler.py """Test for the Gambler strategy. Most tests come from the LookerUp test suite. """ import copy import unittest import axelrod as axl from axelrod.load_data_ import load_pso_tables from axelrod.strategies.lookerup import create_lookup_table_keys from .test_evolvable_player import PartialClass, TestEvolvablePlayer from .test_lookerup import convert_original_to_current from .test_player import TestPlayer tables = load_pso_tables("pso_gambler.csv", directory="data") C, D = axl.Action.C, axl.Action.D random = axl.RandomGenerator() class TestGambler(TestPlayer): name = "Gambler" player = axl.Gambler expected_classifier = { "memory_depth": 1, "stochastic": True, "makes_use_of": set(), "long_run_time": False, "inspects_source": False, "manipulates_source": False, "manipulates_state": False, } expected_class_classifier = copy.copy(expected_classifier) def test_strategy(self): tft_table = {((), (D,), ()): 0, ((), (C,), ()): 1} self.versus_test( axl.Alternator(), expected_actions=[(C, C)] + [(C, D), (D, C)] * 5, init_kwargs={"lookup_dict": tft_table}, ) def test_stochastic_values(self): stochastic_lookup = {((), (), ()): 0.3} expected_actions = [(C, C), (D, C), (D, C), (C, C), (D, C)] self.versus_test( axl.Cooperator(), expected_actions=expected_actions, init_kwargs={"lookup_dict": stochastic_lookup}, seed=80, ) class TestPSOGamblerMem1(TestPlayer): name = "PSO Gambler Mem1" player = axl.PSOGamblerMem1 expected_classifier = { "memory_depth": 1, "stochastic": True, "makes_use_of": set(), "long_run_time": False, "inspects_source": False, "manipulates_source": False, "manipulates_state": False, } expected_class_classifier = copy.copy(expected_classifier) def test_new_data(self): original_data = { ("", "C", "C"): 1.0, ("", "C", "D"): 0.52173487, ("", "D", "C"): 0.0, ("", "D", "D"): 0.12050939, } converted_original = convert_original_to_current(original_data) self.assertEqual(self.player().lookup_dict, converted_original) def test_strategy(self): vs_cooperator = [(C, C)] * 5 self.versus_test(axl.Cooperator(), expected_actions=vs_cooperator) def test_defects_forever_with_correct_conditions(self): opponent_actions = [D, D] + [C] * 10 expected = [(C, D), (C, D), (D, C)] + [(D, C)] * 9 self.versus_test( axl.MockPlayer(actions=opponent_actions), expected_actions=expected, seed=1, ) class TestPSOGambler1_1_1(TestPlayer): name = "PSO Gambler 1_1_1" player = axl.PSOGambler1_1_1 expected_classifier = { "memory_depth": float("inf"), "stochastic": True, "makes_use_of": set(), "long_run_time": False, "inspects_source": False, "manipulates_source": False, "manipulates_state": False, } def test_new_data(self): original_data = { ("C", "C", "C"): 1.0, ("C", "C", "D"): 0.12304797, ("C", "D", "C"): 0.0, ("C", "D", "D"): 0.13581423, ("D", "C", "C"): 1.0, ("D", "C", "D"): 0.57740178, ("D", "D", "C"): 0.0, ("D", "D", "D"): 0.11886807, } converted_original = convert_original_to_current(original_data) self.assertEqual(self.player().lookup_dict, converted_original) def test_cooperate_forever(self): opponent = [D] * 3 + [C] * 10 expected = [(C, D), (D, D), (D, D)] + [(C, C)] * 10 self.versus_test( axl.MockPlayer(opponent), expected_actions=expected, seed=4 ) def test_defect_forever(self): opponent_actions = [C] + [D] + [C] * 10 expected = [(C, C), (C, D)] + [(D, C)] * 10 self.versus_test( axl.MockPlayer(opponent_actions), expected_actions=expected, seed=2 ) def test_defect_forever2(self): opponent_actions = [D] + [C] * 10 expected = [(C, D)] + [(D, C)] * 10 self.versus_test( axl.MockPlayer(opponent_actions), expected_actions=expected, seed=4 ) class TestPSOGambler2_2_2(TestPlayer): name = "PSO Gambler 2_2_2" player = axl.PSOGambler2_2_2 expected_classifier = { "memory_depth": float("inf"), "stochastic": True, "makes_use_of": set(), "long_run_time": False, "inspects_source": False, "manipulates_source": False, "manipulates_state": False, } def test_new_data(self): original_data = { ("CC", "CC", "CC"): 1.0, ("CC", "CC", "CD"): 1.0, ("CC", "CC", "DC"): 0.0, ("CC", "CC", "DD"): 0.02126434, ("CC", "CD", "CC"): 0.0, ("CC", "CD", "CD"): 1.0, ("CC", "CD", "DC"): 1.0, ("CC", "CD", "DD"): 0.0, ("CC", "DC", "CC"): 0.0, ("CC", "DC", "CD"): 0.0, ("CC", "DC", "DC"): 0.0, ("CC", "DC", "DD"): 0.0, ("CC", "DD", "CC"): 0.0, ("CC", "DD", "CD"): 0.0, ("CC", "DD", "DC"): 0.0, ("CC", "DD", "DD"): 1.0, ("CD", "CC", "CC"): 1.0, ("CD", "CC", "CD"): 0.95280465, ("CD", "CC", "DC"): 0.80897541, ("CD", "CC", "DD"): 0.0, ("CD", "CD", "CC"): 0.0, ("CD", "CD", "CD"): 0.0, ("CD", "CD", "DC"): 0.0, ("CD", "CD", "DD"): 0.65147565, ("CD", "DC", "CC"): 0.15412392, ("CD", "DC", "CD"): 0.24922166, ("CD", "DC", "DC"): 0.0, ("CD", "DC", "DD"): 0.0, ("CD", "DD", "CC"): 0.0, ("CD", "DD", "CD"): 0.0, ("CD", "DD", "DC"): 0.0, ("CD", "DD", "DD"): 0.24523149, ("DC", "CC", "CC"): 1.0, ("DC", "CC", "CD"): 0.0, ("DC", "CC", "DC"): 0.0, ("DC", "CC", "DD"): 0.43278586, ("DC", "CD", "CC"): 1.0, ("DC", "CD", "CD"): 0.0, ("DC", "CD", "DC"): 0.23563137, ("DC", "CD", "DD"): 1.0, ("DC", "DC", "CC"): 1.0, ("DC", "DC", "CD"): 1.0, ("DC", "DC", "DC"): 0.00227615, ("DC", "DC", "DD"): 0.0, ("DC", "DD", "CC"): 0.0, ("DC", "DD", "CD"): 0.0, ("DC", "DD", "DC"): 0.0, ("DC", "DD", "DD"): 1.0, ("DD", "CC", "CC"): 0.0, ("DD", "CC", "CD"): 0.0, ("DD", "CC", "DC"): 0.0, ("DD", "CC", "DD"): 0.0, ("DD", "CD", "CC"): 0.15140743, ("DD", "CD", "CD"): 0.0, ("DD", "CD", "DC"): 0.0, ("DD", "CD", "DD"): 0.0, ("DD", "DC", "CC"): 0.0, ("DD", "DC", "CD"): 0.0, ("DD", "DC", "DC"): 0.0, ("DD", "DC", "DD"): 1.0, ("DD", "DD", "CC"): 0.0, ("DD", "DD", "CD"): 1.0, ("DD", "DD", "DC"): 0.77344942, ("DD", "DD", "DD"): 0.0, } converted_original = convert_original_to_current(original_data) self.assertEqual(self.player().lookup_dict, converted_original) def test_vs_defector(self): expected = [(C, D), (C, D)] + [(D, D)] * 10 self.versus_test(axl.Defector(), expected_actions=expected) def test_vs_cooperator(self): expected = [(C, C)] * 10 self.versus_test(axl.Cooperator(), expected_actions=expected) def test_vs_alternator(self): expected = [(C, C), (C, D), (C, C), (D, D), (D, C), (D, D), (D, C)] self.versus_test(axl.Alternator(), expected_actions=expected, seed=20) def test_vs_DCDDC(self): opponent_actions = [D, C, D, D, C] expected = [ (C, D), (C, C), (D, D), (D, D), (C, C), (D, D), (D, C), (D, D), (D, D), (C, C), ] self.versus_test( axl.MockPlayer(actions=opponent_actions), expected_actions=expected, seed=2, ) def test_vs_DCDDC2(self): opponent_actions = [D, C, D, D, C] expected = [ (C, D), (C, C), (D, D), (D, D), (C, C), (D, D), (D, C), (D, D), (D, D), (C, C), ] expected[5] = (C, D) self.versus_test( axl.MockPlayer(actions=opponent_actions), expected_actions=expected, seed=531, ) class TestPSOGambler2_2_2_Noise05(TestPlayer): name = "PSO Gambler 2_2_2 Noise 05" player = axl.PSOGambler2_2_2_Noise05 expected_classifier = { "memory_depth": float("inf"), "stochastic": True, "makes_use_of": set(), "long_run_time": False, "inspects_source": False, "manipulates_source": False, "manipulates_state": False, } def test_new_data(self): original_data = { ("CC", "CC", "CC"): 1.0, ("CC", "CC", "CD"): 0.0, ("CC", "CC", "DC"): 1.0, ("CC", "CC", "DD"): 0.63548102, ("CC", "CD", "CC"): 1.0, ("CC", "CD", "CD"): 1.0, ("CC", "CD", "DC"): 1.0, ("CC", "CD", "DD"): 0.0, ("CC", "DC", "CC"): 0.0, ("CC", "DC", "CD"): 1.0, ("CC", "DC", "DC"): 0.0, ("CC", "DC", "DD"): 0.0, ("CC", "DD", "CC"): 1.0, ("CC", "DD", "CD"): 0.0, ("CC", "DD", "DC"): 0.0, ("CC", "DD", "DD"): 0.0, ("CD", "CC", "CC"): 1.0, ("CD", "CC", "CD"): 1.0, ("CD", "CC", "DC"): 0.0, ("CD", "CC", "DD"): 0.0, ("CD", "CD", "CC"): 0.0, ("CD", "CD", "CD"): 0.13863175, ("CD", "CD", "DC"): 1.0, ("CD", "CD", "DD"): 0.7724137, ("CD", "DC", "CC"): 0.0, ("CD", "DC", "CD"): 1.0, ("CD", "DC", "DC"): 0.0, ("CD", "DC", "DD"): 0.07127653, ("CD", "DD", "CC"): 0.0, ("CD", "DD", "CD"): 1.0, ("CD", "DD", "DC"): 0.28124022, ("CD", "DD", "DD"): 0.0, ("DC", "CC", "CC"): 0.0, ("DC", "CC", "CD"): 0.98603825, ("DC", "CC", "DC"): 0.0, ("DC", "CC", "DD"): 0.0, ("DC", "CD", "CC"): 1.0, ("DC", "CD", "CD"): 0.06434619, ("DC", "CD", "DC"): 1.0, ("DC", "CD", "DD"): 1.0, ("DC", "DC", "CC"): 1.0, ("DC", "DC", "CD"): 0.50999729, ("DC", "DC", "DC"): 0.00524508, ("DC", "DC", "DD"): 1.0, ("DC", "DD", "CC"): 1.0, ("DC", "DD", "CD"): 1.0, ("DC", "DD", "DC"): 1.0, ("DC", "DD", "DD"): 1.0, ("DD", "CC", "CC"): 0.0, ("DD", "CC", "CD"): 1.0, ("DD", "CC", "DC"): 0.16240799, ("DD", "CC", "DD"): 0.0, ("DD", "CD", "CC"): 0.0, ("DD", "CD", "CD"): 1.0, ("DD", "CD", "DC"): 1.0, ("DD", "CD", "DD"): 0.0, ("DD", "DC", "CC"): 0.0, ("DD", "DC", "CD"): 1.0, ("DD", "DC", "DC"): 0.87463905, ("DD", "DC", "DD"): 0.0, ("DD", "DD", "CC"): 0.0, ("DD", "DD", "CD"): 1.0, ("DD", "DD", "DC"): 0.0, ("DD", "DD", "DD"): 0.0, } converted_original = convert_original_to_current(original_data) self.assertEqual(self.player().lookup_dict, converted_original) def test_vs_defector(self): expected = [(C, D), (C, D)] + [(D, D)] * 10 self.versus_test(axl.Defector(), expected_actions=expected) def test_vs_cooperator(self): expected = [(C, C)] * 10 self.versus_test(axl.Cooperator(), expected_actions=expected) def test_vs_alternator(self): expected = [(C, C), (C, D), (C, C), (D, D), (D, C), (D, D), (C, C)] self.versus_test(axl.Alternator(), expected_actions=expected, seed=2) def test_vs_alternator2(self): expected = [(C, C), (C, D), (C, C), (D, D), (D, C), (D, D), (C, C)] expected[4] = (C, C) expected[6] = (D, C) self.versus_test(axl.Alternator(), expected_actions=expected, seed=3) def test_vs_DCDDC(self): opponent_actions = [D, C, D, D, C] expected = [ (C, D), (C, C), (D, D), (D, D), (C, C), (D, D), (D, C), (C, D), (C, D), ] self.versus_test( axl.MockPlayer(opponent_actions), expected_actions=expected, seed=1 ) def test_vs_DCDDC2(self): opponent_actions = [D, C, D, D, C] expected = [ (C, D), (C, C), (D, D), (D, D), (C, C), (D, D), (D, C), (C, D), (D, D), # different than above test ] self.versus_test( axl.MockPlayer(opponent_actions), expected_actions=expected, seed=5, ) def test_vs_DCDDC3(self): opponent_actions = [D, C, D, D, C] expected = [ (C, D), (C, C), (D, D), (D, D), (C, C), (D, D), (D, C), (C, C), # different than above test (D, D), # different than above test (D, D), # different than above test ] new_expected = expected[:6] + [(C, C), (D, D), (D, D)] self.versus_test( axl.MockPlayer(opponent_actions), expected_actions=new_expected, seed=10, ) class TestZDMem2(TestPlayer): name = "ZD-Mem2" player = axl.ZDMem2 expected_classifier = { "memory_depth": 2, "stochastic": True, "makes_use_of": set(), "long_run_time": False, "inspects_source": False, "manipulates_source": False, "manipulates_state": False, } def test_new_data(self): original_data = { ("", "CC", "CC"): 11 / 12, ("", "CC", "CD"): 4 / 11, ("", "CC", "DC"): 7 / 9, ("", "CC", "DD"): 1 / 10, ("", "CD", "CC"): 5 / 6, ("", "CD", "CD"): 3 / 11, ("", "CD", "DC"): 7 / 9, ("", "CD", "DD"): 1 / 10, ("", "DC", "CC"): 2 / 3, ("", "DC", "CD"): 1 / 11, ("", "DC", "DC"): 7 / 9, ("", "DC", "DD"): 1 / 10, ("", "DD", "CC"): 3 / 4, ("", "DD", "CD"): 2 / 11, ("", "DD", "DC"): 7 / 9, ("", "DD", "DD"): 1 / 10, } converted_original = convert_original_to_current(original_data) self.assertEqual(self.player().lookup_dict, converted_original) def test_vs_defector(self): expected = [ (C, D), (C, D), (D, D), (D, D), (D, D), (D, D), (D, D), (D, D), (C, D), (D, D), ] self.versus_test(axl.Defector(), expected_actions=expected, seed=30) def test_vs_cooperator(self): expected = [ (C, C), (C, C), (C, C), (C, C), (C, C), (D, C), (C, C), (D, C), (C, C), (C, C), ] self.versus_test(axl.Cooperator(), expected_actions=expected, seed=33) def test_vs_alternator(self): expected = [(C, C), (C, D), (D, C), (D, D), (C, C), (C, D), (D, C)] self.versus_test(axl.Alternator(), expected_actions=expected, seed=42) def test_vs_alternator2(self): expected = [(C, C), (C, D), (C, C), (D, D), (D, C), (C, D), (D, C)] self.versus_test(axl.Alternator(), expected_actions=expected, seed=67) class TestEvolvableGambler(unittest.TestCase): def test_receive_vector(self): plays, op_plays, op_start_plays = 1, 1, 1 player = axl.EvolvableGambler( parameters=(plays, op_plays, op_start_plays), seed=1 ) self.assertRaises( AttributeError, axl.EvolvableGambler.__getattribute__, *[player, "vector"] ) vector = [random.random() for _ in range(8)] player.receive_vector(vector) self.assertEqual(player.pattern, vector) def test_vector_to_instance(self): plays, op_plays, op_start_plays = 1, 1, 1 player = axl.EvolvableGambler( parameters=(plays, op_plays, op_start_plays), seed=1 ) vector = [random.random() for _ in range(8)] player.receive_vector(vector) keys = create_lookup_table_keys( player_depth=plays, op_depth=op_plays, op_openings_depth=op_start_plays, ) action_dict = dict(zip(keys, vector)) self.assertEqual(player._lookup.dictionary, action_dict) def test_create_vector_bounds(self): plays, op_plays, op_start_plays = 1, 1, 1 player = axl.EvolvableGambler( parameters=(plays, op_plays, op_start_plays), seed=1 ) lb, ub = player.create_vector_bounds() self.assertIsInstance(lb, list) self.assertIsInstance(ub, list) self.assertEqual(len(lb), 8) self.assertEqual(len(ub), 8) def test_mutate_value_bounds(self): player = axl.EvolvableGambler(parameters=(1, 1, 1), seed=0) self.assertEqual(player.mutate_value(2), 1) self.assertEqual(player.mutate_value(-2), 0) class TestEvolvableGambler2(TestEvolvablePlayer): name = "EvolvableGambler" player_class = axl.EvolvableGambler parent_class = axl.Gambler parent_kwargs = ["lookup_dict"] init_parameters = {"parameters": (1, 1, 1), "initial_actions": (C,)} class TestEvolvableGambler3(TestEvolvablePlayer): name = "EvolvableGambler" player_class = axl.EvolvableGambler parent_class = axl.Gambler parent_kwargs = ["lookup_dict"] init_parameters = { "parameters": (3, 2, 1), "initial_actions": ( C, C, C, ), } class TestEvolvableGambler4(TestEvolvablePlayer): name = "EvolvableGambler" player_class = axl.EvolvableGambler parent_class = axl.Gambler parent_kwargs = ["lookup_dict"] init_parameters = { "parameters": (2, 2, 2), "pattern": [random.random() for _ in range(64)], "initial_actions": ( C, C, ), } # Substitute EvolvableHMMPlayer as a regular HMMPlayer. 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replay_buffer.py	zhihanyang2022/pytorch-a2c	0	180804	from collections import namedtuple import random import numpy as np import torch # very exhaustive but as a result code is very easy to read ;) Transition = namedtuple('Transition', 's a r done') Transitions = namedtuple('Transitions', 's a r done') # functionally the same as Transition NStepTransitions = namedtuple('Batch', 's a n_step_sum_of_r n_step_s done_within_n_step') # each item corresponds to a tensor class SequentialBuffer: def __init__(self, gamma: float, n_step: int): self.memory = [] self.gamma = gamma self.n_step = n_step def push(self, transition: Transition) -> None: self.memory.append(transition) def instantiate_NStepTransitions_and_empty_buffer(self) -> NStepTransitions: """We empty the buffer because this is an on-policy algorithm.""" dummy_transition = Transition(np.zeros((self.memory[0].s.shape)), 0, 0, 0) memory_with_dummies = self.memory + [dummy_transition] * (self.n_step - 1) transitions = Transitions(zip(memory_with_dummies)) length = len(self.memory) # not computed with memory_with_dummies s = torch.tensor(transitions.s[:-(self.n_step-1) or None], dtype=torch.float).view(length, -1) a = torch.tensor(transitions.a[:-(self.n_step-1) or None], dtype=torch.long ).view(length, 1) n_step_s = torch.tensor(transitions.s[self.n_step-1:], dtype=torch.float).view(length, -1) # last few are dummies and their values will be ignored conveniently through done_within_n_step n_step_sum_of_r = np.zeros((len(self.memory),)) done_within_n_step = np.zeros((len(self.memory),)) # including the zeroth and the (n-1)th step for t in range(len(transitions.r[:-(self.n_step-1) or None])): # t = 0, 1, ..., T-1, (T, ..., T+n_step-1), where bracket terms due to dummies sum = 0 for i in range(self.n_step): # from 0 to n_step - 1 inclusive; exactly what we want sum += (self.gamma ** i) * transitions.r[t+i] if transitions.done[t+i]: done_within_n_step[t] = 1 # indicates that we shouldn't care about the value of n_step_s break n_step_sum_of_r[t] = sum n_step_sum_of_r = torch.tensor(n_step_sum_of_r, dtype=torch.float).view(length, 1) done_within_n_step = torch.tensor(done_within_n_step, dtype=torch.long).view(length, 1) self.memory = [] return NStepTransitions(s, a, n_step_sum_of_r, n_step_s, done_within_n_step) # for SIL # no done is needed here because we only need to calculate the monte-carlo return for one episode at a time TransitionWithoutDone = namedtuple('TransitionWithoutDone', 's a r') TransitionWithoutDoneWithReturn = namedtuple('TransitionWithoutDoneWithReturn', 's a R') MonteCarloTransitions = namedtuple('MonteCarloTransitions', 's a R') class SILBuffer: def __init__(self, gamma: float): self.memory = [] self.current_episode = [] self.gamma = gamma def push(self, transition: TransitionWithoutDone) -> None: self.current_episode.append(transition) def process_and_empty_current_episode(self) -> None: discounted_return = 0 for transition in reversed(self.current_episode): discounted_return = transition.r + self.gamma * discounted_return self.memory.append(TransitionWithoutDoneWithReturn(transition.s, transition.a, discounted_return)) self.current_episode = [] def ready_for(self, batch_size: int) -> bool: return len(self.memory) >= batch_size def sample(self, batch_size: int) -> MonteCarloTransitions: transitions = random.sample(self.memory, batch_size) transitions = MonteCarloTransitions(zip(transitions)) s = torch.tensor(transitions.s, dtype=torch.float).view(batch_size, -1) a = torch.tensor(transitions.a, dtype=torch.long ).view(batch_size, 1) R = torch.tensor(transitions.R, dtype=torch.float).view(batch_size, 1) return MonteCarloTransitions(s, a, R)	[ 1, 515, 16250, 1053, 4257, 23583, 13, 5215, 4036, 13, 5215, 12655, 408, 7442, 13, 5215, 4842, 305, 13, 13, 29937, 1407, 27096, 573, 541, 408, 263, 1121, 775, 338, 1407, 4780, 304, 1303, 15718, 13, 13, 4300, 654, 353, 4257, 23583, 877, 4300, 654, 742, 525, 29879, 263, 364, 2309, 1495, 13, 4300, 2187, 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0_numpy_lineare_algebra/assignments/learntools/challenges/challenge2.py	layerwise/training	0	41754	<filename>0_numpy_lineare_algebra/assignments/learntools/challenges/challenge2.py import pandas as pd import os import numpy as np from learntools.core import * class Evaluation(CodingProblem): show_solution_on_correct = False _vars = ["data_path", "results"] _hints = [ """Checking your solution requires that the file 'AmesIowaHousingData_test_with_labels.csv' be available at `data_path`.""" ] def check(self, *args): data_path = args[0] results = args[1] data_file = 'AmesIowaHousingData_test_with_labels.csv' assert_file_exists(os.path.join(data_path, data_file)) test_df = pd.read_csv(os.path.join(data_path, data_file), index_col=0) y_true = test_df.loc[:, "SalePrice"] if not set(y_true.index).issubset(set(results.keys())): missing = set(y_true.index).difference(set(results.keys())) print(f"Es gibt noch keine Vorhersage für die folgenden `id`s") for missing_id in missing: print(missing_id) assert False if not set(results.keys()).issubset(set(y_true.index)): additional = set(results.keys()).difference(set(y_true.index)) print("Es gibt Vorhersagen für nicht vorhandene `id`s. Diese sind") for additional_id in additional: print(additional_id) assert False error = 0 for id_, y_pred in results.items(): error += np.abs(y_true.loc[id_] - y_pred) mean_error = error / len(y_true) print(f"Sie liegen durchschnittlich falsch um {np.round(mean_error)} US-Dollar.") assert True qvars = bind_exercises(globals(), [ Evaluation ], ) __all__ = list(qvars)	[ 1, 529, 9507, 29958, 29900, 29918, 23749, 29918, 1220, 598, 29918, 15742, 29914, 16645, 1860, 29914, 19668, 8504, 29914, 305, 16047, 267, 29914, 305, 11768, 29906, 29889, 2272, 13, 5215, 11701, 408, 10518, 13, 5215, 2897, 13, 5215, 12655, 408, 7442, 13, 13, 3166, 5110, 8504, 29889, 3221, 1053, 334, 13, 13, 1990, 382, 4387, 362, 29898, 29907, 3689, 26604, 1125, 13, 1678, 1510, 29918, 2929, 918, 29918, 265, 29918, 15728, 353, 7700, 13, 13, 1678, 903, 16908, 353, 6796, 1272, 29918, 2084, 613, 376, 9902, 3108, 13, 1678, 903, 29882, 9466, 353, 518, 13, 4706, 9995, 5596, 292, 596, 1650, 6858, 393, 278, 934, 525, 29909, 4467, 29902, 5604, 29950, 681, 292, 1469, 29918, 1688, 29918, 2541, 29918, 21134, 29889, 7638, 29915, 367, 3625, 472, 421, 1272, 29918, 2084, 29952, 1213, 15945, 13, 1678, 4514, 13, 13, 1678, 822, 1423, 29898, 1311, 29892, 334, 5085, 1125, 13, 4706, 848, 29918, 2084, 353, 6389, 29961, 29900, 29962, 13, 4706, 2582, 353, 6389, 29961, 29896, 29962, 13, 4706, 848, 29918, 1445, 353, 525, 29909, 4467, 29902, 5604, 29950, 681, 292, 1469, 29918, 1688, 29918, 2541, 29918, 21134, 29889, 7638, 29915, 13, 4706, 4974, 29918, 1445, 29918, 9933, 29898, 359, 29889, 2084, 29889, 7122, 29898, 1272, 29918, 2084, 29892, 848, 29918, 1445, 876, 13, 308, 13, 4706, 1243, 29918, 2176, 353, 29871, 10518, 29889, 949, 29918, 7638, 29898, 359, 29889, 2084, 29889, 7122, 29898, 1272, 29918, 2084, 29892, 848, 29918, 1445, 511, 2380, 29918, 1054, 29922, 29900, 29897, 13, 13, 4706, 343, 29918, 3009, 353, 1243, 29918, 2176, 29889, 2029, 7503, 29892, 376, 29903, 744, 13026, 3108, 13, 13, 4706, 565, 451, 731, 29898, 29891, 29918, 3009, 29889, 2248, 467, 790, 431, 842, 29898, 842, 29898, 9902, 29889, 8149, 22130, 29901, 13, 9651, 4567, 353, 731, 29898, 29891, 29918, 3009, 29889, 2248, 467, 29881, 17678, 29898, 842, 29898, 9902, 29889, 8149, 22130, 13, 9651, 1596, 29898, 29888, 29908, 14190, 13456, 5440, 13945, 6266, 29882, 414, 482, 1865, 762, 24245, 421, 333, 29952, 29879, 1159, 13, 9651, 363, 4567, 29918, 333, 297, 4567, 29901, 13, 18884, 1596, 29898, 27259, 29918, 333, 29897, 13, 9651, 4974, 7700, 13, 13, 4706, 565, 451, 731, 29898, 9902, 29889, 8149, 16655, 790, 431, 842, 29898, 842, 29898, 29891, 29918, 3009, 29889, 2248, 22164, 13, 9651, 5684, 353, 731, 29898, 9902, 29889, 8149, 16655, 29881, 17678, 29898, 842, 29898, 29891, 29918, 3009, 29889, 2248, 876, 13, 9651, 1596, 703, 14190, 13456, 6266, 29882, 414, 5370, 1865, 3072, 3764, 3179, 1600, 421, 333, 29952, 29879, 29889, 13528, 3937, 1159, 13, 9651, 363, 5684, 29918, 333, 297, 5684, 29901, 13, 18884, 1596, 29898, 1202, 3245, 29918, 333, 29897, 13, 9651, 4974, 7700, 13, 13, 4706, 1059, 353, 29871, 29900, 13, 4706, 363, 1178, 3383, 343, 29918, 11965, 297, 2582, 29889, 7076, 7295, 13, 9651, 1059, 4619, 7442, 29889, 6897, 29898, 29891, 29918, 3009, 29889, 2029, 29961, 333, 29918, 29962, 448, 343, 29918, 11965, 29897, 13, 13, 4706, 2099, 29918, 2704, 353, 1059, 847, 7431, 29898, 29891, 29918, 3009, 29897, 13, 13, 4706, 1596, 29898, 29888, 29908, 29903, 347, 3804, 1885, 3494, 19564, 1470, 11092, 816, 1922, 426, 9302, 29889, 14486, 29898, 12676, 29918, 2704, 2915, 3148, 29899, 29928, 26810, 23157, 13, 4706, 4974, 5852, 13, 308, 13, 13, 29939, 16908, 353, 7868, 29918, 735, 261, 3476, 267, 29898, 23705, 1338, 3285, 518, 13, 1678, 382, 4387, 362, 13, 1678, 21251, 13, 1678, 1723, 13, 1649, 497, 1649, 353, 1051, 29898, 29939, 16908, 29897, 13, 13, 2 ]
apps/core/views/ServerEditView.py	Couapy/mc-manager	0	85462	<gh_stars>0 from core.exceptions import NotRunningError from core.forms import ServerForm from core.models import Server from django.contrib import messages from django.contrib.auth.decorators import login_required from django.shortcuts import (HttpResponseRedirect, get_object_or_404, render, reverse) from django.utils.decorators import method_decorator from django.views import View from core.decorators import CheckServerAuthorization, owner_expected @method_decorator(login_required, name='dispatch') @method_decorator(CheckServerAuthorization('manage'), name='dispatch') class ServerEditView(View): """This is the server edit view.""" def get(self, request, id: int): server = get_object_or_404(Server, pk=id) form = ServerForm( data=request.POST or None, instance=server, ) context = { 'server': server, 'form': form, } return render(request, 'core/settings/edit.html', context) def post(self, request, id: int): server = get_object_or_404(Server, pk=id) form = ServerForm( data=request.POST or None, files=request.FILES or None, instance=server, ) if form.has_changed() and form.is_valid(): form.save() messages.add_message( request=request, level=messages.INFO, message='Les paramètres du serveur ont bien été enregistrés.', ) return self.get(request, id)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 13, 3166, 7136, 29889, 11739, 29879, 1053, 2216, 27795, 2392, 13, 3166, 7136, 29889, 9514, 1053, 5656, 2500, 13, 3166, 7136, 29889, 9794, 1053, 5656, 13, 3166, 9557, 29889, 21570, 1053, 7191, 13, 3166, 9557, 29889, 21570, 29889, 5150, 29889, 19557, 4097, 1053, 6464, 29918, 12403, 13, 3166, 9557, 29889, 12759, 7582, 29879, 1053, 313, 5506, 5103, 24735, 29892, 679, 29918, 3318, 29918, 272, 29918, 29946, 29900, 29946, 29892, 4050, 29892, 13, 462, 795, 11837, 29897, 13, 3166, 9557, 29889, 13239, 29889, 19557, 4097, 1053, 1158, 29918, 19557, 1061, 13, 3166, 9557, 29889, 7406, 1053, 4533, 13, 13, 3166, 7136, 29889, 19557, 4097, 1053, 5399, 6004, 25471, 29892, 12271, 29918, 9684, 13, 13, 13, 29992, 5696, 29918, 19557, 1061, 29898, 7507, 29918, 12403, 29892, 1024, 2433, 13369, 1495, 13, 29992, 5696, 29918, 19557, 1061, 29898, 5596, 6004, 25471, 877, 1171, 482, 5477, 1024, 2433, 13369, 1495, 13, 1990, 5656, 6103, 1043, 29898, 1043, 1125, 13, 1678, 9995, 4013, 338, 278, 1923, 3863, 1776, 1213, 15945, 13, 13, 1678, 822, 679, 29898, 1311, 29892, 2009, 29892, 1178, 29901, 938, 1125, 13, 4706, 1923, 353, 679, 29918, 3318, 29918, 272, 29918, 29946, 29900, 29946, 29898, 6004, 29892, 282, 29895, 29922, 333, 29897, 13, 4706, 883, 353, 5656, 2500, 29898, 13, 9651, 848, 29922, 3827, 29889, 5438, 470, 6213, 29892, 13, 9651, 2777, 29922, 2974, 29892, 13, 4706, 1723, 13, 4706, 3030, 353, 426, 13, 9651, 525, 2974, 2396, 1923, 29892, 13, 9651, 525, 689, 2396, 883, 29892, 13, 4706, 500, 13, 4706, 736, 4050, 29898, 3827, 29892, 525, 3221, 29914, 11027, 29914, 5628, 29889, 1420, 742, 3030, 29897, 13, 13, 1678, 822, 1400, 29898, 1311, 29892, 2009, 29892, 1178, 29901, 938, 1125, 13, 4706, 1923, 353, 679, 29918, 3318, 29918, 272, 29918, 29946, 29900, 29946, 29898, 6004, 29892, 282, 29895, 29922, 333, 29897, 13, 4706, 883, 353, 5656, 2500, 29898, 13, 9651, 848, 29922, 3827, 29889, 5438, 470, 6213, 29892, 13, 9651, 2066, 29922, 3827, 29889, 24483, 470, 6213, 29892, 13, 9651, 2777, 29922, 2974, 29892, 13, 4706, 1723, 13, 4706, 565, 883, 29889, 5349, 29918, 15033, 580, 322, 883, 29889, 275, 29918, 3084, 7295, 13, 9651, 883, 29889, 7620, 580, 13, 9651, 7191, 29889, 1202, 29918, 4906, 29898, 13, 18884, 2009, 29922, 3827, 29892, 13, 18884, 3233, 29922, 19158, 29889, 11690, 29892, 13, 18884, 2643, 2433, 24560, 1828, 14228, 868, 9080, 332, 4625, 6079, 4370, 427, 29238, 743, 29889, 742, 13, 9651, 1723, 13, 4706, 736, 1583, 29889, 657, 29898, 3827, 29892, 1178, 29897, 13, 2 ]

ultracart/models/item_identifiers.py

UltraCart/rest_api_v2_sdk_python

1

1617189

<filename>ultracart/models/item_identifiers.py # coding: utf-8 """ UltraCart Rest API V2 UltraCart REST API Version 2 # noqa: E501 OpenAPI spec version: 2.0.0 Contact: <EMAIL> Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re # noqa: F401 import six class ItemIdentifiers(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'barcode': 'str', 'manufacturer_name': 'str', 'manufacturer_sku': 'str', 'unspsc': 'str' } attribute_map = { 'barcode': 'barcode', 'manufacturer_name': 'manufacturer_name', 'manufacturer_sku': 'manufacturer_sku', 'unspsc': 'unspsc' } def __init__(self, barcode=None, manufacturer_name=None, manufacturer_sku=None, unspsc=None): # noqa: E501 """ItemIdentifiers - a model defined in Swagger""" # noqa: E501 self._barcode = None self._manufacturer_name = None self._manufacturer_sku = None self._unspsc = None self.discriminator = None if barcode is not None: self.barcode = barcode if manufacturer_name is not None: self.manufacturer_name = manufacturer_name if manufacturer_sku is not None: self.manufacturer_sku = manufacturer_sku if unspsc is not None: self.unspsc = unspsc @property def barcode(self): """Gets the barcode of this ItemIdentifiers. # noqa: E501 Barcode # noqa: E501 :return: The barcode of this ItemIdentifiers. # noqa: E501 :rtype: str """ return self._barcode @barcode.setter def barcode(self, barcode): """Sets the barcode of this ItemIdentifiers. Barcode # noqa: E501 :param barcode: The barcode of this ItemIdentifiers. # noqa: E501 :type: str """ if barcode is not None and len(barcode) > 30: raise ValueError("Invalid value for `barcode`, length must be less than or equal to `30`") # noqa: E501 self._barcode = barcode @property def manufacturer_name(self): """Gets the manufacturer_name of this ItemIdentifiers. # noqa: E501 Manufacturer Name # noqa: E501 :return: The manufacturer_name of this ItemIdentifiers. # noqa: E501 :rtype: str """ return self._manufacturer_name @manufacturer_name.setter def manufacturer_name(self, manufacturer_name): """Sets the manufacturer_name of this ItemIdentifiers. Manufacturer Name # noqa: E501 :param manufacturer_name: The manufacturer_name of this ItemIdentifiers. # noqa: E501 :type: str """ if manufacturer_name is not None and len(manufacturer_name) > 50: raise ValueError("Invalid value for `manufacturer_name`, length must be less than or equal to `50`") # noqa: E501 self._manufacturer_name = manufacturer_name @property def manufacturer_sku(self): """Gets the manufacturer_sku of this ItemIdentifiers. # noqa: E501 Manufacturer SKU # noqa: E501 :return: The manufacturer_sku of this ItemIdentifiers. # noqa: E501 :rtype: str """ return self._manufacturer_sku @manufacturer_sku.setter def manufacturer_sku(self, manufacturer_sku): """Sets the manufacturer_sku of this ItemIdentifiers. Manufacturer SKU # noqa: E501 :param manufacturer_sku: The manufacturer_sku of this ItemIdentifiers. # noqa: E501 :type: str """ if manufacturer_sku is not None and len(manufacturer_sku) > 25: raise ValueError("Invalid value for `manufacturer_sku`, length must be less than or equal to `25`") # noqa: E501 self._manufacturer_sku = manufacturer_sku @property def unspsc(self): """Gets the unspsc of this ItemIdentifiers. # noqa: E501 UNSPSC # noqa: E501 :return: The unspsc of this ItemIdentifiers. # noqa: E501 :rtype: str """ return self._unspsc @unspsc.setter def unspsc(self, unspsc): """Sets the unspsc of this ItemIdentifiers. UNSPSC # noqa: E501 :param unspsc: The unspsc of this ItemIdentifiers. # noqa: E501 :type: str """ if unspsc is not None and len(unspsc) > 20: raise ValueError("Invalid value for `unspsc`, length must be less than or equal to `20`") # noqa: E501 self._unspsc = unspsc def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.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 if issubclass(ItemIdentifiers, dict): for key, value in self.items(): result[key] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.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""" if not isinstance(other, ItemIdentifiers): return False 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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nuclear/types/time.py

igrek51/glue

6

166087

from datetime import datetime, date, time from typing import Callable from nuclear.parser.error import CliSyntaxError def datetime_format(*formats: str) -> Callable[[str], datetime]: """format: %Y-%m-%d %H:%M:%S""" def parser(arg: str): return _parse_date_formats(arg, *formats) return parser def today_format(*formats: str) -> Callable[[str], datetime]: """format: %Y-%m-%d %H:%M:%S""" def parser(arg: str): today: date = datetime.now().date() parsed_time: time = _parse_date_formats(arg, *formats).time() return datetime.combine(today, parsed_time) return parser iso_date: Callable[[str], datetime] = datetime_format('%Y-%m-%d') iso_time: Callable[[str], datetime] = datetime_format('%H:%M:%S') iso_datetime: Callable[[str], datetime] = datetime_format('%Y-%m-%d %H:%M:%S') def _parse_date_formats(s: str, *formats: str) -> datetime: for time_format in formats: try: return _parse_date(s, time_format) except ValueError: pass raise CliSyntaxError('invalid datetime format: ' + s) def _parse_date(s: str, time_format: str): return datetime.strptime(s, time_format)

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databricks/koalas/strings.py

mercileesb/koalas

1

15512

# # Copyright (C) 2019 Databricks, 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. # """ String functions on Koalas Series """ from typing import TYPE_CHECKING import numpy as np from pyspark.sql.types import StringType, BinaryType, BooleanType from databricks.koalas.base import _wrap_accessor_pandas if TYPE_CHECKING: import databricks.koalas as ks class StringMethods(object): """String methods for Koalas Series""" def __init__(self, series: 'ks.Series'): if not isinstance(series.spark_type, (StringType, BinaryType)): raise ValueError( "Cannot call StringMethods on type {}" .format(series.spark_type)) self._data = series self.name = self._data.name # Methods def capitalize(self) -> 'ks.Series': """ Convert Strings in the series to be capitalized. """ return _wrap_accessor_pandas( self, lambda x: x.str.capitalize(), StringType() ).alias(self.name) def lower(self) -> 'ks.Series': """ Convert strings in the Series/Index to all lowercase. """ return _wrap_accessor_pandas( self, lambda x: x.str.lower(), StringType() ).alias(self.name) def upper(self) -> 'ks.Series': """ Convert strings in the Series/Index to all uppercase. """ return _wrap_accessor_pandas( self, lambda x: x.str.upper(), StringType() ).alias(self.name) def swapcase(self) -> 'ks.Series': """ Convert strings in the Series/Index to be swapcased. """ return _wrap_accessor_pandas( self, lambda x: x.str.swapcase(), StringType() ).alias(self.name) def startswith(self, pattern, na=np.NaN) -> 'ks.Series': """ Test if the start of each string element matches a pattern. Equivalent to :func:`str.startswith`. Parameters ---------- pattern : str Character sequence. Regular expressions are not accepted. na : object, defulat NaN Object shown if element is not a string. Returns ------- Series of bool Koalas Series of booleans indicating whether the given pattern matches the start of each string element. """ return _wrap_accessor_pandas( self, lambda x: x.str.startswith(pattern, na), BooleanType() ).alias(self.name) def endswith(self, pattern, na=np.NaN) -> 'ks.Series': """ Test if the end of each string element matches a pattern. Equivalent to :func:`str.endswith`. Parameters ---------- pattern : str Character sequence. Regular expressions are not accepted. na : object, defulat NaN Object shown if element is not a string. Returns ------- Series of bool Koalas Series of booleans indicating whether the given pattern matches the end of each string element. """ return _wrap_accessor_pandas( self, lambda x: x.str.endswith(pattern, na), BooleanType() ).alias(self.name) def strip(self, to_strip=None) -> 'ks.Series': """ Remove leading and trailing characters. Strip whitespaces (including newlines) or a set of specified characters from each string in the Series/Index from left and right sides. Equivalent to :func:`str.strip`. Parameters ---------- to_strip : str Specifying the set of characters to be removed. All combinations of this set of characters will be stripped. If None then whitespaces are removed. Returns ------- Series of str """ return _wrap_accessor_pandas( self, lambda x: x.str.strip(to_strip), StringType() ).alias(self.name) def lstrip(self, to_strip=None) -> 'ks.Series': """ Remove leading characters. Strip whitespaces (including newlines) or a set of specified characters from each string in the Series/Index from left side. Equivalent to :func:`str.lstrip`. Parameters ---------- to_strip : str Specifying the set of characters to be removed. All combinations of this set of characters will be stripped. If None then whitespaces are removed. Returns ------- Series of str """ return _wrap_accessor_pandas( self, lambda x: x.str.lstrip(to_strip), StringType() ).alias(self.name) def rstrip(self, to_strip=None) -> 'ks.Series': """ Remove trailing characters. Strip whitespaces (including newlines) or a set of specified characters from each string in the Series/Index from right side. Equivalent to :func:`str.rstrip`. Parameters ---------- to_strip : str Specifying the set of characters to be removed. All combinations of this set of characters will be stripped. If None then whitespaces are removed. Returns ------- Series of str """ return _wrap_accessor_pandas( self, lambda x: x.str.rstrip(to_strip), StringType() ).alias(self.name) def get(self, i) -> 'ks.Series': """ Extract element from each string in the Series/Index at the specified position. Parameters ---------- i : int Position of element to extract. Returns ------- Series of objects """ return _wrap_accessor_pandas( self, lambda x: x.str.get(i), StringType() ).alias(self.name) def isalnum(self) -> 'ks.Series': """ Check whether all characters in each string are alphanumeric. This is equivalent to running the Python string method :func:`str.isalnum` for each element of the Series/Index. If a string has zero characters, False is returned for that check. """ return _wrap_accessor_pandas( self, lambda x: x.str.isalnum(), BooleanType() ).alias(self.name) def isalpha(self) -> 'ks.Series': """ Check whether all characters in each string are alphabetic. This is equivalent to running the Python string method :func:`str.isalpha` for each element of the Series/Index. If a string has zero characters, False is returned for that check. """ return _wrap_accessor_pandas( self, lambda x: x.str.isalpha(), BooleanType() ).alias(self.name) def isdigit(self) -> 'ks.Series': """ Check whether all characters in each string are digits. This is equivalent to running the Python string method :func:`str.isdigit` for each element of the Series/Index. If a string has zero characters, False is returned for that check. """ return _wrap_accessor_pandas( self, lambda x: x.str.isdigit(), BooleanType() ).alias(self.name) def isspace(self) -> 'ks.Series': """ Check whether all characters in each string are whitespaces. This is equivalent to running the Python string method :func:`str.isspace` for each element of the Series/Index. If a string has zero characters, False is returned for that check. """ return _wrap_accessor_pandas( self, lambda x: x.str.isspace(), BooleanType() ).alias(self.name) def islower(self) -> 'ks.Series': """ Check whether all characters in each string are lowercase. This is equivalent to running the Python string method :func:`str.islower` for each element of the Series/Index. If a string has zero characters, False is returned for that check. """ return _wrap_accessor_pandas( self, lambda x: x.str.islower(), BooleanType() ).alias(self.name) def isupper(self) -> 'ks.Series': """ Check whether all characters in each string are uppercase. This is equivalent to running the Python string method :func:`str.isupper` for each element of the Series/Index. If a string has zero characters, False is returned for that check. """ return _wrap_accessor_pandas( self, lambda x: x.str.isupper(), BooleanType() ).alias(self.name) def istitle(self) -> 'ks.Series': """ Check whether all characters in each string are titlecase. This is equivalent to running the Python string method :func:`str.istitle` for each element of the Series/Index. If a string has zero characters, False is returned for that check. """ return _wrap_accessor_pandas( self, lambda x: x.str.istitle(), BooleanType() ).alias(self.name) def isnumeric(self) -> 'ks.Series': """ Check whether all characters in each string are numeric. This is equivalent to running the Python string method :func:`str.isnumeric` for each element of the Series/Index. If a string has zero characters, False is returned for that check. """ return _wrap_accessor_pandas( self, lambda x: x.str.isnumeric(), BooleanType() ).alias(self.name) def isdecimal(self) -> 'ks.Series': """ Check whether all characters in each string are decimals. This is equivalent to running the Python string method :func:`str.isdecimal` for each element of the Series/Index. If a string has zero characters, False is returned for that check. """ return _wrap_accessor_pandas( self, lambda x: x.str.isdecimal(), BooleanType() ).alias(self.name)

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Binaryclassifier/slacked.py

Hritikbansal/RNNs_SVA_OOD

4

79980

<gh_stars>1-10 import torch import torch.nn as nn import torch.optim as optim from torch.autograd import Variable import numpy as np import math from numpy.random import binomial import sys _VF = torch._C._VariableFunctions device = torch.device("cuda" if torch.cuda.is_available() else "cpu") def rectify(x): relu = nn.ReLU() return relu(x) class DecayModule(nn.Module): def __init__(self, input_size , hidden_size, bias = True, num_chunks = 1, activation='relu', nodiag=False): super(DecayModule, self).__init__() self.sigmoid = nn.Sigmoid() self.tanh = nn.Tanh() self.relu = nn.ReLU() self.input_size = input_size self.hidden_size = hidden_size self.nodiag=nodiag self.bias = bias self.num_chunks = num_chunks self.rgate = nn.Parameter(torch.tensor(0.8),requires_grad=True) self.weight_ih = nn.Parameter(torch.Tensor(num_chunks*hidden_size,input_size)) self.weight_hh = nn.Parameter(torch.Tensor(num_chunks * hidden_size, hidden_size)) self.d_rec = nn.Parameter(torch.zeros(num_chunks * hidden_size, hidden_size),requires_grad=False) self.activation=activation if bias: self.bias_ih = nn.Parameter(torch.Tensor(num_chunks * hidden_size)) self.bias_hh = nn.Parameter(torch.Tensor(num_chunks * hidden_size)) else: self.register_parameter('bias_ih', None) self.register_parameter('bias_hh', None) self.reset_parameters() if self.nodiag: for i in range(hidden_size): self.weight_hh.data[i, i]=0 def reset_parameters(self): stdv = 1.0 / math.sqrt(self.hidden_size) for weight in self.parameters(): nn.init.uniform_(weight, -stdv, stdv) for name,param in self.named_parameters(): if name=="rgate": param.data = torch.tensor(0.8) for i in range(self.num_chunks) : x = i * self.hidden_size for j in range(self.hidden_size) : if (j < 0.8*self.hidden_size) : self.d_rec[x + j][j] = 1.0 else : self.d_rec[x + j][j] = -1.0 def forward(self, input_, hx = None): if hx is None: hx = input_.new_zeros(self.num_chunks*self.hidden_size, requires_grad=False) # dale_hh = torch.mm(self.relu(self.weight_hh), self.d_rec) if (self.bias) : w_x = self.bias_ih + torch.matmul(self.weight_ih,input_).t() # w_h = self.bias_hh + torch.matmul(dale_hh,hx.t()).t() w_h = self.bias_hh + torch.matmul(self.weight_hh,hx.t()).t() else : w_x = torch.matmul(self.weight_ih,input_).t() # w_h = torch.matmul(dale_hh,hx.t()).t() w_h = torch.matmul(self.weight_hh,hx.t()).t() w_w = ((self.rgate) * hx) + ((1-(self.rgate)) * (w_x + w_h)) if self.activation=='tanh': h = self.tanh(w_w) else: h = self.relu(w_w) return h # shape is (M, H) where M is the batch size and H is the embedded dimension. class SDRNN(nn.Module): def __init__(self, input_size, hidden_size, num_layers = 1, dropout=0.2, activation='relu', nodiag=False): super(SDRNN, self).__init__() self.input_size = input_size self.hidden_size = hidden_size self.num_layers = num_layers self.nodiag=nodiag self.dropout = dropout self.dropout_layer = nn.Dropout(dropout) self.activation=activation for layer in range(num_layers): layer_input_size = self.input_size if layer == 0 else self.hidden_size cell = DecayModule(input_size = layer_input_size, hidden_size = self.hidden_size,activation=self.activation, nodiag=self.nodiag) setattr(self, 'cell_{}'.format(layer), cell) self.reset_parameters() def get_cell(self, layer): return getattr(self, 'cell_{}'.format(layer)) def reset_parameters(self): for layer in range(self.num_layers): cell = self.get_cell(layer) cell.reset_parameters() def forward_single_layer(self, input_, layer, h_0=None, max_time=50): # assumed input shape : (time_stamps, batch_size, input_emb_dim) # assumed output shape: (time_stamps, batch_size, hidden_dim) , h_n shape = (num_layers, batch_size, hidden_dim) --> corresponding to the last time stamp all_hidden = [] cell = self.get_cell(layer) max_time, M = input_.shape[0], input_.shape[1] state = h_0 assert (h_0.shape[0],h_0.shape[1]) == (M, self.hidden_size) for time in range(max_time): state = cell(input_ = input_[time, :, :].t(), hx = state) if layer==self.num_layers-1: all_hidden.append(state) else: all_hidden.append(self.dropout_layer(state)) h_n = state #last time stamp state (M, H) all_hidden = torch.stack(all_hidden) assert (h_n.shape[0], h_n.shape[1]) ==(M, self.hidden_size) return all_hidden, h_n def forward(self, input_, h_0=None, max_time=50): # we assume that the input shape is (time_stamps, batch_size, input_sizes) # for every example the h_init will serve as none. H_init will be none in each layer and for all examples. # the inputs that will be passed to layer_0 will be the input_, for the subsequent layers, we will pass the processed # hidden layer outputs. # h_0 is the inital state to be used for the dynamics. max_time, M = input_.shape[0], input_.shape[1] if not torch.is_tensor(h_0): h_0 = torch.zeros((self.num_layers, M, self.hidden_size)).to(device) h_n = [] for layer in range(self.num_layers): if layer == 0: all_hidden, h_n_layer = self.forward_single_layer(input_, layer, h_0[layer, :, :]) else: all_hidden, h_n_layer = self.forward_single_layer(all_hidden, layer, h_0[layer,:,:]) h_n.append(h_n_layer) h_n = torch.stack(h_n) assert (h_n.shape[0],h_n.shape[1],h_n.shape[2]) ==( self.num_layers, M , self.hidden_size ) assert (all_hidden.shape[0],all_hidden.shape[1],all_hidden.shape[2])==(max_time, M, self.hidden_size) return all_hidden, h_n

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app/__init__.py

clhayes/NEU-Senior-Thesis

0

131334

import os, sys, configparser, warnings from flask import (Flask, redirect, render_template, request, session, url_for) from app import consent, alert, experiment, complete, error from .io import write_metadata from .utils import gen_code __version__ = '1.0' ## Define root directory. ROOT_DIR = os.path.dirname(os.path.realpath(__file__)) ## Load and parse configuration file. cfg = configparser.ConfigParser() cfg.read(os.path.join(ROOT_DIR, 'app.ini')) ## Ensure output directories exist. data_dir = os.path.join(ROOT_DIR, cfg['IO']['DATA']) if not os.path.isdir(data_dir): os.makedirs(data_dir) meta_dir = os.path.join(ROOT_DIR, cfg['IO']['METADATA']) if not os.path.isdir(meta_dir): os.makedirs(meta_dir) reject_dir = os.path.join(ROOT_DIR, cfg['IO']['REJECT']) if not os.path.isdir(reject_dir): os.makedirs(reject_dir) ## Check Flask mode; if debug mode, clear session variable. debug = cfg['FLASK'].getboolean('DEBUG') if debug: warnings.warn("WARNING: Flask currently in debug mode. This should be changed prior to production.") ## Check Flask password. secret_key = cfg['FLASK']['SECRET_KEY'] if secret_key == "PLEASE_CHANGE_THIS": warnings.warn("WARNING: Flask password is currently default. This should be changed prior to production.") ## Initialize Flask application. app = Flask(__name__) app.secret_key = secret_key ## Apply blueprints to the application. app.register_blueprint(consent.bp) app.register_blueprint(alert.bp) app.register_blueprint(experiment.bp) app.register_blueprint(complete.bp) app.register_blueprint(error.bp) ## Define root node. @app.route('/') def index(): ## Debug mode: clear session. if debug: session.clear() ## Store directories in session object. session['data'] = data_dir session['metadata'] = meta_dir session['reject'] = reject_dir ## Record incoming metadata. info = dict( workerId = request.args.get('workerId'), # MTurk metadata assignmentId = request.args.get('assignmentId'), # MTurk metadata hitId = request.args.get('hitId'), # MTurk metadata subId = gen_code(24), # NivTurk metadata a = request.args.get('a'), # TurkPrime metadata tp_a = request.args.get('tp_a'), # TurkPrime metadata b = request.args.get('b'), # TurkPrime metadata tp_b = request.args.get('tp_b'), # TurkPrime metadata c = request.args.get('c'), # TurkPrime metadata tp_c = request.args.get('tp_c'), # TurkPrime metadata address = request.remote_addr, # NivTurk metadata browser = request.user_agent.browser, # User metadata platform = request.user_agent.platform, # User metadata version = request.user_agent.version, # User metadata ) ## Case 1: workerId absent. if info['workerId'] is None: ## Redirect participant to error (missing workerId). return redirect(url_for('error.error', errornum=1000)) ## Case 2: mobile user. elif info['platform'] in ['android','iphone','ipad','wii']: ## Redirect participant to error (platform error). return redirect(url_for('error.error', errornum=1001)) ## Case 3: repeat visit, previous success. elif f"{info['subId']}.json" in os.listdir(data_dir): ## Update metadata. session['workerId'] = info['workerId'] session['complete'] = 'success' ## Redirect participant to complete page. return redirect(url_for('complete.complete')) ## Case 4: repeat visit, previous reject. elif f"{info['subId']}.json" in os.listdir(reject_dir): ## Update metadata. session['workerId'] = info['workerId'] session['complete'] = 'reject' ## Redirect participant to complete page. return redirect(url_for('complete.complete')) ## Case 5: repeat visit, preexisting log but no session data. elif not 'workerId' in session and info['workerId'] in os.listdir(meta_dir): ## Update metadata. for k, v in info.items(): session[k] = v session['WARNING'] = "Incognito user." write_metadata(session, ['subId','WARNING'], 'a') ## Redirect participant to consent form. return redirect(url_for('consent.consent')) ## Case 6: repeat visit, preexisting activity. elif 'workerId' in session: ## Update metadata. session['WARNING'] = "Revisited home." write_metadata(session, ['WARNING'], 'a') ## Redirect participant to consent form. return redirect(url_for('consent.consent')) ## Case 7: first visit, workerId present. else: ## Update metadata. for k, v in info.items(): session[k] = v write_metadata(session, ['workerId','hitId','assignmentId','subId','address','browser','platform','version'], 'w') ## Redirect participant to consent form. return redirect(url_for('consent.consent'))

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Hackerrank/Python/triangle-quest-2.py

PROxZIMA/Competitive-Coding

1

82162

num = int(input()) for i in range(1, num+1): s = '' for j in range(1, i): s += str(j) for j in range(i, 0, -1): s += str(j) print(s)

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jacket/drivers/openstack/compute_driver.py

bopopescu/jacket

0

52971

<gh_stars>0 # 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. """ Driver base-classes: (Beginning of) the contract that compute drivers must follow, and shared types that support that contract """ import copy import socket import traceback import uuid from oslo_log import log as logging from oslo_serialization import jsonutils from oslo_utils import excutils from oslo_utils import strutils from jacket.compute.cloud import power_state from jacket.compute.cloud import task_states from jacket.compute.cloud import vm_states from jacket.compute.virt import driver from jacket.compute.virt import hardware from jacket import conf from jacket import context as req_context from jacket.compute import image from jacket.db.extend import api as caa_db_api from jacket.drivers.openstack import base from jacket.drivers.openstack import exception_ex from jacket import exception from jacket.i18n import _LE from jacket import utils from jacket.objects import compute as objects LOG = logging.getLogger(__name__) CONF = conf.CONF FS_DOMAIN_NOSTATE = 0 FS_DOMAIN_RUNNING = 1 FS_DOMAIN_BLOCKED = 2 FS_DOMAIN_PAUSED = 3 FS_DOMAIN_SHUTDOWN = 4 FS_DOMAIN_SHUTOFF = 5 FS_DOMAIN_CRASHED = 6 FS_DOMAIN_PMSUSPENDED = 7 FS_POWER_STATE = { FS_DOMAIN_NOSTATE: power_state.NOSTATE, FS_DOMAIN_RUNNING: power_state.RUNNING, FS_DOMAIN_BLOCKED: power_state.RUNNING, FS_DOMAIN_PAUSED: power_state.PAUSED, FS_DOMAIN_SHUTDOWN: power_state.SHUTDOWN, FS_DOMAIN_SHUTOFF: power_state.SHUTDOWN, FS_DOMAIN_CRASHED: power_state.CRASHED, FS_DOMAIN_PMSUSPENDED: power_state.SUSPENDED, } class OsComputeDriver(driver.ComputeDriver, base.OsDriver): def __init__(self, virtapi): self._os_novaclient = None self._os_cinderclient = None self._os_glanceclient = None self.caa_db_api = caa_db_api self._image_api = image.API() super(OsComputeDriver, self).__init__(virtapi) def after_detach_volume_fail(self, job_detail_info, **kwargs): pass def after_detach_volume_success(self, job_detail_info, **kwargs): pass def _add_tag_to_metadata(self, metadata, caa_instance_id): if not metadata: metadata = {} metadata['tag:caa_instance_id'] = caa_instance_id return metadata def _is_booted_from_volume(self, instance, disk_mapping=None): """Determines whether the VM is booting from volume Determines whether the disk mapping indicates that the VM is booting from a volume. """ return (not bool(instance.get('image_ref'))) def _transfer_to_sub_block_device_mapping_v2(self, context, instance, block_device_mapping): """ :param block_device_mapping: { 'block_device_mapping': [{ 'guest_format': None, 'boot_index': 0, 'mount_device': u'/dev/sda', 'connection_info': { u'driver_volume_type': u'fs_clouds_volume', 'serial': u'817492df-3e7f-439a-bfb3-6c2f6488a6e5', u'data': { u'access_mode': u'rw', u'qos_specs': None, u'display_name': u'image-v-02', u'volume_id': u'817492df-3e7f-439a-bfb3-6c2f6488a6e5', u'backend': u'fsclouds' } }, 'disk_bus': None, 'device_type': None, 'delete_on_termination': False }], 'root_device_name': u'/dev/sda', 'ephemerals': [], 'swap': None } :return: type list, [{ "boot_index": 0, "uuid": "5e9ba941-7fad-4515-872a-0b2f1a05d577", "volume_size": "1", "device_name": "/dev/sda", "source_type": "volume", "volume_id": "5e9ba941-7fad-4515-872a-0b2f1a05d577", "delete_on_termination": "False"}] """ sub_bdms = [] bdm_list = block_device_mapping.get('block_device_mapping', []) for bdm in bdm_list: bdm_info_dict = {} # bdm_info_dict['delete_on_termination'] = bdm.get( # 'delete_on_termination', False) bdm_info_dict['boot_index'] = bdm.get('boot_index') bdm_info_dict['destination_type'] = 'volume' source_type = bdm.get('source_type', None) # NOTE(laoyi) Now, only support image and blank if source_type == 'image': image_id = bdm.get('image_id', None) if image_id: provider_image_id = self._get_provider_image_id(context, image_id) else: provider_image_id = self._get_provider_base_image_id( context) if provider_image_id: bdm_info_dict['source_type'] = 'image' bdm_info_dict['uuid'] = provider_image_id else: bdm_info_dict['source_type'] = 'blank' bdm_info_dict['volume_size'] = str(bdm.get('size')) bdm_info_dict['delete_on_termination'] = bdm.get( 'delete_on_termination', False) elif source_type == 'blank': bdm_info_dict['source_type'] = source_type bdm_info_dict['volume_size'] = str(bdm.get('size')) bdm_info_dict['delete_on_termination'] = bdm.get( 'delete_on_termination', False) else: volume_id = bdm.get('connection_info').get('data').get( 'volume_id') if volume_id: provider_volume = self._get_provider_volume(context, volume_id) bdm_info_dict['uuid'] = provider_volume.id bdm_info_dict['volume_size'] = str(provider_volume.size) # bdm_info_dict['device_name'] = device_name bdm_info_dict['source_type'] = 'volume' bdm_info_dict['delete_on_termination'] = bdm.get( 'delete_on_termination', False) else: # TODO: need to support snapshot id continue sub_bdms.append(bdm_info_dict) if not sub_bdms: sub_bdms = None return sub_bdms def _get_provider_security_groups_list(self, context, project_mapper=None): if project_mapper is None: project_mapper = self._get_project_mapper(context, context.project_id) provider_sg = project_mapper.get('security_groups', None) if provider_sg: security_groups = provider_sg.split(',') else: security_groups = None return security_groups def _get_provider_nics(self, context, project_mapper=None): if project_mapper is None: project_mapper = self._get_project_mapper(context, context.project_id) provider_net_data = project_mapper.get('net_data', None) provider_net_api = project_mapper.get('net_api', None) provider_net_external = project_mapper.get('net_external', None) nics = [] if provider_net_external: nics.append({'net-id': provider_net_external}) nics.append({'net-id': provider_net_data}) nics.append({'net-id': provider_net_api}) return nics def _get_agent_inject_file(self, instance, driver_param_inject_files): return dict(driver_param_inject_files) def _generate_provider_instance_name(self, instance_name, instance_id): """ :param instance_name: type string :param instance_id: type string :return: type string, e.g. 'my_vm@97988012-4f48-4463-a150-d7e6b0a321d9' """ if not instance_name: instance_name = 'server' return '@'.join([instance_name, instance_id]) def _get_provider_flavor_id(self, context, flavor_id): # get dest flavor id flavor_mapper = self.caa_db_api.flavor_mapper_get(context, flavor_id, context.project_id) dest_flavor_id = flavor_mapper.get("dest_flavor_id", flavor_id) return dest_flavor_id def _create_snapshot_metadata(self, image_meta, instance, img_fmt, snp_name): metadata = {'is_public': False, 'status': 'active', 'name': snp_name, 'properties': { 'kernel_id': instance.kernel_id, 'image_location': 'snapshot', 'image_state': 'available', 'owner_id': instance.project_id, 'ramdisk_id': instance.ramdisk_id, } } if instance.os_type: metadata['properties']['os_type'] = instance.os_type if img_fmt: metadata['disk_format'] = img_fmt else: metadata['disk_format'] = image_meta.disk_format if image_meta.obj_attr_is_set("container_format"): metadata['container_format'] = image_meta.container_format else: metadata['container_format'] = "bare" return metadata def list_instance_uuids(self): uuids = [] context = req_context.RequestContext(is_admin=True, project_id='default') servers = self.os_novaclient(context).list() for server in servers: server_id = server.id uuids.append(server_id) LOG.debug('list_instance_uuids: %s' % uuids) return uuids def list_instances(self): """List VM instances from all nodes. :return: list of instance id. e.g.['id_001', 'id_002', ...] """ instances = [] context = req_context.RequestContext(is_admin=True, project_id='default') servers = self.os_novaclient(context).list() for server in servers: server_name = server.name instances.append(server_name) LOG.debug('list_instance: %s' % instances) return instances def list_instances_stats(self): """List VM instances from all nodes. :return: list of instance id. e.g.['id_001', 'id_002', ...] """ stats = {} context = req_context.RequestContext(is_admin=True, project_id='default') servers = self.os_novaclient(context).list() for server in servers: server_id = server.id instance_power_state = getattr(server, 'OS-EXT-STS:power_state') stats[server_id] = FS_POWER_STATE[instance_power_state] return stats def get_console_output(self, context, instance): provider_uuid = self._get_provider_instance_id(context, instance.uuid) return self.os_novaclient(context).get_console_output(provider_uuid) def volume_create(self, context, instance, image_id=None, size=None): if image_id and image_id == "base": provider_image_id = self._get_provider_base_image_id(context) elif image_id: provider_image_id = self._get_provider_image_id(context, image_id) else: provider_image_id = None volume_id = str(uuid.uuid4()) kwargs = {} if not size: size = instance.get_flavor().get('root_gb') volume_name = instance.uuid kwargs['display_name'] = volume_name if provider_image_id: kwargs['imageRef'] = provider_image_id provider_volume = self.os_cinderclient(context).create_volume(size, **kwargs) try: self.os_cinderclient(context).check_create_volume_complete( provider_volume) except Exception as ex: LOG.exception(_LE("provider volume(%s), " "check_create_volume_complete " "failed! ex = %s"), provider_volume.id, ex) with excutils.save_and_reraise_exception(): provider_volume.delete() try: # create volume mapper values = {"provider_volume_id": provider_volume.id} self.caa_db_api.volume_mapper_create(context, volume_id, context.project_id, values) except Exception as ex: LOG.exception(_LE("volume_mapper_create failed! ex = %s"), ex) with excutils.save_and_reraise_exception(): provider_volume.delete() return volume_id def volume_delete(self, context, instance, volume_id): try: provider_volume = self._get_provider_volume(context, volume_id) except exception.EntityNotFound: LOG.debug('no sub-volume exist, ' 'no need to delete provider volume') return LOG.debug('submit delete-volume task') provider_volume.delete() LOG.debug('wait for volume delete') self.os_cinderclient(context).check_delete_volume_complete( provider_volume) try: # delelte volume mapper self.caa_db_api.volume_mapper_delete(context, volume_id, context.project_id) except Exception as ex: LOG.error(_LE("volume_mapper_delete failed! ex = %s"), ex) def _attach_volume(self, context, instance, provider_volume, mountpoint): provider_server = self._get_provider_instance(context, instance) if not provider_server: LOG.error('Can not find server in provider os, ' 'server: %s' % instance.uuid) raise exception_ex.ServerNotExistException( server_name=instance.display_name) if provider_volume.status == "in-use": attach_id, server_id = self._get_attachment_id_for_volume( provider_volume) if server_id != provider_server.id: LOG.error(_LE("provider volume(%s) has been attached to " "provider instance(%s)"), provider_volume.id, server_id) raise exception_ex.VolumeAttachFailed( volume_id=provider_volume.id) else: return if provider_volume.status == 'available': self.os_novaclient(context).attach_volume(provider_server.id, provider_volume.id, mountpoint) self.os_cinderclient(context).check_attach_volume_complete( provider_volume) else: raise Exception('provider volume %s is not available, ' 'status is %s' % (provider_volume.id, provider_volume.status)) def attach_volume(self, context, connection_info, instance, mountpoint=None, disk_bus=None, device_type=None, encryption=None): """ :param context: ['auth_token', 'elevated', 'from_dict', 'instance_lock_checked', 'is_admin', 'project_id', 'project_name', 'quota_class', 'read_deleted', 'remote_address', 'request_id', 'roles', 'service_catalog', 'tenant', 'timestamp', 'to_dict', 'update_store', 'user', 'user_id', 'user_name'] :param connection_info: { u'driver_volume_type': u'vcloud_volume', 'serial': u'824d397e-4138-48e4-b00b-064cf9ef4ed8', u'data': { u'access_mode': u'rw', u'qos_specs': None, u'display_name': u'volume_02', u'volume_id': u'824d397e-4138-48e4-b00b-064cf9ef4ed8', u'backend': u'vcloud' } } :param instance: Instance( access_ip_v4=None, access_ip_v6=None, architecture=None, auto_disk_config=False, availability_zone='az01.hws--fusionsphere', cell_name=None, cleaned=False, config_drive='', created_at=2016-01-14T07: 17: 40Z, default_ephemeral_device=None, default_swap_device=None, deleted=False, deleted_at=None, disable_terminate=False, display_description='volume_backend_01', display_name='volume_backend_01', ephemeral_gb=0, ephemeral_key_uuid=None, fault=<?>, host='420824B8-AC4B-7A64-6B8D-D5ACB90E136A', hostname='volume-backend-01', id=57, image_ref='', info_cache=InstanceInfoCache, instance_type_id=2, kernel_id='', key_data=None, key_name=None, launch_index=0, launched_at=2016-01-14T07: 17: 43Z, launched_on='420824B8-AC4B-7A64-6B8D-D5ACB90E136A', locked=False, locked_by=None, memory_mb=512, metadata={ }, node='420824B8-AC4B-7A64-6B8D-D5ACB90E136A', numa_topology=<?>, os_type=None, pci_devices=<?>, power_state=0, progress=0, project_id='e178f1b9539b4a02a9c849dd7ea3ea9e', ramdisk_id='', reservation_id='r-marvoq8g', root_device_name='/dev/sda', root_gb=1, scheduled_at=None, security_groups=SecurityGroupList, shutdown_terminate=False, system_metadata={ image_base_image_ref='', image_checksum='d972013792949d0d3ba628fbe8685bce', image_container_format='bare', image_disk_format='qcow2', image_image_id='617e72df-41ba-4e0d-ac88-cfff935a7dc3', image_image_name='cirros', image_min_disk='0', image_min_ram='0', image_size='13147648', instance_type_ephemeral_gb='0', instance_type_flavorid='1', instance_type_id='2', instance_type_memory_mb='512', instance_type_name='m1.tiny', instance_type_root_gb='1', instance_type_rxtx_factor='1.0', instance_type_swap='0', instance_type_vcpu_weight=None, instance_type_vcpus='1' }, task_state=None, terminated_at=None, updated_at=2016-01-14T07: 17: 43Z, user_data=u'<SANITIZED>, user_id='d38732b0a8ff451eb044015e80bbaa65', uuid=9eef20f0-5ebf-4793-b4a2-5a667b0acad0, vcpus=1, vm_mode=None, vm_state='active') Volume object: { 'status': u'attaching', 'volume_type_id': u'type01', 'volume_image_metadata': { u'container_format': u'bare', u'min_ram': u'0', u'disk_format': u'qcow2', u'image_name': u'cirros', u'image_id': u'617e72df-41ba-4e0d-ac88-cfff935a7dc3', u'checksum': u'd972013792949d0d3ba628fbe8685bce', u'min_disk': u'0', u'size': u'13147648' }, 'display_name': u'volume_02', 'attachments': [], 'attach_time': '', 'availability_zone': u'az01.hws--fusionsphere', 'bootable': True, 'created_at': u'2016-01-18T07: 03: 57.822386', 'attach_status': 'detached', 'display_description': None, 'volume_metadata': { u'readonly': u'False' }, 'shareable': u'false', 'snapshot_id': None, 'mountpoint': '', 'id': u'824d397e-4138-48e4-b00b-064cf9ef4ed8', 'size': 120 } :param mountpoint: string. e.g. "/dev/sdb" :param disk_bus: :param device_type: :param encryption: :return: """ LOG.debug('start to attach volume.') cascading_volume_id = connection_info['data']['volume_id'] provider_volume = self._get_provider_volume(context, cascading_volume_id) self._attach_volume(context, instance, provider_volume, mountpoint) LOG.debug('attach volume : %s success.' % cascading_volume_id) def destroy(self, context, instance, network_info, block_device_info=None, destroy_disks=True, migrate_data=None): """ :param instance: :param network_info: :param block_device_info: :param destroy_disks: :param migrate_data: :return: """ try: provider_server = self._get_provider_instance(context, instance) except exception.EntityNotFound: LOG.debug("instance is not exist, no need to delete!", instance=instance) return if provider_server: try: self.os_novaclient(context).delete(provider_server) self.os_novaclient(context).check_delete_server_complete( provider_server) except exception.ResourceInError: import time; time.sleep(30) self.os_novaclient(context).check_delete_server_complete( provider_server) else: LOG.error('Can not found server to delete.') # raise exception_ex.ServerNotExistException(server_name=instance.display_name) try: # delete instance mapper self.caa_db_api.instance_mapper_delete(context, instance.uuid, instance.project_id) except Exception as ex: LOG.error(_LE("instance_mapper_delete failed! ex = %s"), ex) LOG.debug('success to delete instance: %s' % instance.uuid) def _detach_volume(self, context, provider_volume): if provider_volume.status == "available": LOG.debug("provider volume(%s) has been detach", provider_volume.id) return attachment_id, server_id = self._get_attachment_id_for_volume( provider_volume) LOG.debug('server_id: %s' % server_id) LOG.debug('submit detach task') self.os_novaclient(context).detach_volume(server_id, provider_volume.id) LOG.debug('wait for volume in available status.') self.os_cinderclient(context).check_detach_volume_complete( provider_volume) def detach_volume(self, connection_info, instance, mountpoint, encryption=None): LOG.debug('start to detach volume.') LOG.debug('instance: %s' % instance) LOG.debug('connection_info: %s' % connection_info) context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) cascading_volume_id = connection_info['data']['volume_id'] provider_volume = self._get_provider_volume(context, cascading_volume_id) self._detach_volume(context, provider_volume) LOG.debug("detach volume success!", instance=instance) def get_available_nodes(self, refresh=False): """Returns nodenames of all nodes managed by the compute service. This method is for multi compute-nodes support. If a driver supports multi compute-nodes, this method returns a list of nodenames managed by the service. Otherwise, this method should return [hypervisor_hostname]. """ hostname = socket.gethostname() return [hostname] def _get_host_stats(self, hostname): return {'vcpus': 999999, 'vcpus_used': 0, 'memory_mb': 999999, 'memory_mb_used': 0, 'local_gb': 99999999, 'local_gb_used': 0, 'host_memory_total': 99999999, 'disk_total': 99999999, 'host_memory_free': 99999999, 'disk_used': 0, 'hypervisor_type': 'fusionsphere', 'hypervisor_version': '5005000', 'hypervisor_hostname': hostname, 'cpu_info': '{"model": ["Intel(R) Xeon(R) CPU E5-2670 0 @ 2.60GHz"],' '"vendor": ["Huawei Technologies Co., Ltd."], ' '"topology": {"cores": 16, "threads": 32}}', 'supported_instances': jsonutils.dumps( [["i686", "xen", "uml"], ["x86_64", "xen", "uml"]]), 'numa_topology': None,} def get_available_resource(self, nodename): host_stats = self._get_host_stats(nodename) supported_instances = list() for one in jsonutils.loads(host_stats['supported_instances']): supported_instances.append((one[0], one[1], one[2])) return {'vcpus': host_stats['vcpus'], 'memory_mb': host_stats['host_memory_total'], 'local_gb': host_stats['disk_total'], 'vcpus_used': 0, 'memory_mb_used': host_stats['host_memory_total'] - host_stats[ 'host_memory_free'], 'local_gb_used': host_stats['disk_used'], 'hypervisor_type': host_stats['hypervisor_type'], 'hypervisor_version': host_stats['hypervisor_version'], 'hypervisor_hostname': host_stats['hypervisor_hostname'], 'cpu_info': jsonutils.dumps(host_stats['cpu_info']), 'supported_instances': supported_instances, 'numa_topology': None,} def get_info(self, instance): STATUS = power_state.NOSTATE context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) server = self._get_provider_instance(context, instance) LOG.debug('server: %s' % server) if server: instance_power_state = getattr(server, 'OS-EXT-STS:power_state') STATUS = FS_POWER_STATE[instance_power_state] LOG.debug('end to get_info: %s' % STATUS) return hardware.InstanceInfo( state=STATUS, max_mem_kb=0, mem_kb=0, num_cpu=1) def get_instance_macs(self, instance): """ No need to implement. :param instance: :return: """ pass def get_volume_connector(self, instance): return {'ip': CONF.my_block_storage_ip, 'initiator': 'fake', 'host': 'fakehost'} def init_host(self, host): pass def power_off(self, instance, timeout=0, retry_interval=0): LOG.debug('start to stop server: %s' % instance.uuid) server = self._get_provider_instance(hybrid_instance=instance) if not server: LOG.debug('can not find sub os server for ' 'instance: %s' % instance.uuid) raise exception_ex.ServerNotExistException( server_name=instance.display_name) context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) LOG.debug('server: %s status is: %s' % (server.id, server.status)) if server.status == vm_states.ACTIVE.upper(): LOG.debug('start to add stop task') server.stop() LOG.debug('submit stop task') self.os_novaclient(context).check_stop_server_complete(server) LOG.debug('stop server: %s success' % instance.uuid) elif server.status == 'SHUTOFF': LOG.debug('sub instance status is already STOPPED.') LOG.debug('stop server: %s success' % instance.uuid) return else: LOG.warning('server status is not in ACTIVE OR STOPPED,' 'can not do POWER_OFF operation') raise exception_ex.ServerStatusException(status=server.status) def power_on(self, context, instance, network_info, block_device_info=None): LOG.debug('start to start server: %s' % instance.uuid) server = self._get_provider_instance(context, instance) if not server: LOG.debug('can not find sub os server for ' 'instance: %s' % instance.uuid) raise exception_ex.ServerNotExistException(instance.display_name) LOG.debug('server: %s status is: %s' % (server.id, server.status)) if server.status == 'SHUTOFF': LOG.debug('start to add start task') server.start() LOG.debug('submit start task') self.os_novaclient(context).check_start_server_complete(server) LOG.debug('start server: %s success' % instance.uuid) elif server.status == vm_states.ACTIVE.upper(): LOG.debug('sub instance status is already ACTIVE.') return else: LOG.warning('server status is not in ACTIVE OR STOPPED,' 'can not do POWER_ON operation') raise exception_ex.ServerStatusException(status=server.status) def reboot(self, context, instance, network_info, reboot_type, block_device_info=None, bad_volumes_callback=None): LOG.debug('start to reboot server: %s' % instance.uuid) server = self._get_provider_instance(context, instance) if not server: LOG.debug('can not find sub os server for ' 'instance: %s' % instance.uuid) raise exception_ex.ServerNotExistException( server_name=instance.display_name) LOG.debug('server: %s status is: %s' % (server.id, server.status)) if server.status == vm_states.ACTIVE.upper(): server.reboot(reboot_type) self.os_novaclient(context).check_reboot_server_complete(server) LOG.debug('reboot server: %s success' % instance.uuid) elif server.status == 'SHUTOFF': server.start() self.os_novaclient(context).check_start_server_complete(server) LOG.debug('reboot server: %s success' % instance.uuid) else: LOG.warning('server status is not in ACTIVE OR STOPPED,' 'can not do POWER_OFF operation') raise exception_ex.ServerStatusException(status=server.status) def provider_create_image(self, context, instance, image, metadata): provider_instance = self._get_provider_instance(context, instance) provider_metadata = { "disk_format": metadata.get("disk_format", "raw"), "container_format": metadata.get("container_format", "bare")} # provider create image location, provider_image_id = self.os_novaclient( context).create_image( provider_instance, image['name'], provider_metadata) try: # wait create image success self.os_novaclient(context).check_create_image_server_complete( provider_instance) # wait image status is active self.os_glanceclient(context).check_image_active_complete( provider_image_id) except Exception as ex: LOG.exception(_LE("create image failed! ex = %s"), ex) with excutils.save_and_reraise_exception(): self.os_glanceclient(context).delete(provider_image_id) return provider_instance, provider_image_id def snapshot(self, context, instance, image_id, update_task_state): snapshot = self._image_api.get(context, image_id) image_format = None metadata = self._create_snapshot_metadata(instance.image_meta, instance, image_format, snapshot['name']) update_task_state(task_state=task_states.IMAGE_PENDING_UPLOAD) provider_instance, provider_image_id = self.provider_create_image( context, instance, snapshot, metadata) try: update_task_state(task_state=task_states.IMAGE_UPLOADING, expected_state=task_states.IMAGE_PENDING_UPLOAD) try: image = self.os_glanceclient(context).get_image( provider_image_id) LOG.debug("+++hw, image = %s", image) if hasattr(image, "direct_url"): direct_url = image.direct_url if direct_url.startswith("swift+http://") or \ direct_url.startswith("http://") or \ direct_url.startswith("https://"): metadata["location"] = direct_url self._image_api.update(context, image_id, metadata, purge_props=False) else: raise Exception() else: raise Exception() except Exception: metadata.pop("location", None) # download from provider glance LOG.debug("+++hw, begin to download image(%s)", provider_image_id) image_data = self.os_glanceclient(context).data( provider_image_id) LOG.debug("+++hw, image length = %s", len(image_data)) self._image_api.update(context, image_id, metadata, image_data) # create image mapper values = {"provider_image_id": provider_image_id} self.caa_db_api.image_mapper_create(context, image_id, context.project_id, values) except Exception as ex: LOG.exception(_LE("create image failed! ex = %s"), ex) with excutils.save_and_reraise_exception(): self.os_glanceclient(context).delete(provider_image_id) def get_provider_lxc_volume_id(self, context, instance, index): lxc_volume_id = instance.system_metadata.get('provider_lxc_volume_id', None) if lxc_volume_id: return lxc_volume_id provider_instance_uuid = self._get_provider_instance_id( context, instance.uuid) if provider_instance_uuid is None: return volumes = self.os_novaclient(context).get_server_volumes( provider_instance_uuid) volumes = sorted(volumes, key=lambda volume: volume.device) LOG.debug("+++hw, volumes = %s", volumes) lxc_volume = None if len(volumes) > index: lxc_volume = volumes[index] if lxc_volume is not None: return lxc_volume.volumeId def _spawn(self, context, instance, image_meta, injected_files, admin_password, network_info=None, block_device_info=None): try: LOG.debug('instance: %s' % instance) LOG.debug('block device info: %s' % block_device_info) flavor = instance.get_flavor() LOG.debug('flavor: %s' % flavor) sub_flavor_id = self._get_provider_flavor_id(context, flavor.flavorid) name = self._generate_provider_instance_name(instance.display_name, instance.uuid) LOG.debug('name: %s' % name) image_ref = None if instance.image_ref: sub_image_id = self._get_provider_base_image_id(context) try: image_ref = self.os_glanceclient(context).get_image( sub_image_id) except Exception as ex: LOG.exception(_LE("get image(%(image_id)s) failed, " "ex = %(ex)s"), image_id=sub_image_id, ex=ex) raise else: image_ref = None if instance.metadata: metadata = copy.deepcopy(instance.metadata) else: metadata = {} metadata = self._add_tag_to_metadata(metadata, instance.uuid) LOG.debug('metadata: %s' % metadata) app_security_groups = instance.security_groups LOG.debug('app_security_groups: %s' % app_security_groups) agent_inject_files = self._get_agent_inject_file(instance, injected_files) sub_bdm = self._transfer_to_sub_block_device_mapping_v2( context, instance, block_device_info) LOG.debug('sub_bdm: %s' % sub_bdm) project_mapper = self._get_project_mapper(context, context.project_id) security_groups = self._get_provider_security_groups_list( context, project_mapper) nics = self._get_provider_nics(context, project_mapper) provider_server = self.os_novaclient(context).create_server( name, image_ref, sub_flavor_id, meta=metadata, files=agent_inject_files, reservation_id=instance.reservation_id, security_groups=security_groups, nics=nics, availability_zone=project_mapper.get("availability_zone", None), block_device_mapping_v2=sub_bdm) LOG.debug('wait for server active') try: self.os_novaclient(context).check_create_server_complete( provider_server) except Exception as ex: # rollback with excutils.save_and_reraise_exception(): provider_server.delete() LOG.debug('create server success.............!!!') try: # instance mapper values = {'provider_instance_id': provider_server.id} self.caa_db_api.instance_mapper_create(context, instance.uuid, instance.project_id, values) except Exception as ex: LOG.exception(_LE("instance_mapper_create failed! ex = %s"), ex) provider_server.delete() raise interface_list = self.os_novaclient(context).interface_list( provider_server) ips = [] for interface in interface_list: ip = interface.fixed_ips[0].get('ip_address') ips.append(ip) instance_ips = ','.join(ips) LOG.debug('luorui debug instance_ips %s' % instance_ips) instance.system_metadata['instance_ips'] = instance_ips instance.system_metadata['instance_id'] = provider_server.id try: instance.save() except Exception: pass # raise exception_ex.InstanceSaveFailed( # instance_uuid=instance.uuid) except exception_ex.InstanceSaveFailed: raise except Exception as e: LOG.error( 'Exception when spawn, exception: %s' % traceback.format_exc(e)) raise Exception( 'Exception when spawn, exception: %s' % traceback.format_exc(e)) def spawn(self, context, instance, image_meta, injected_files, admin_password, network_info=None, block_device_info=None): """Create a new instance/VM/domain on the virtualization platform. Once this successfully completes, the instance should be running (power_state.RUNNING). If this fails, any partial instance should be completely cleaned up, and the virtualization platform should be in the state that it was before this call began. :param context: security context :param instance: nova.objects.instance.Instance This function should use the data there to guide the creation of the new instance. Instance( access_ip_v4=None, access_ip_v6=None, architecture=None, auto_disk_config=False, availability_zone='az31.shenzhen--aws', cell_name=None, cleaned=False, config_drive='', created_at=2015-08-31T02:44:36Z, default_ephemeral_device=None, default_swap_device=None, deleted=False, deleted_at=None, disable_terminate=False, display_description='server@daa5e17c-cb2c-4014-9726-b77109380ca6', display_name='server@daa5e17c-cb2c-4014-9726-b77109380ca6', ephemeral_gb=0, ephemeral_key_uuid=None, fault=<?>, host='42085B38-683D-7455-A6A3-52F35DF929E3', hostname='serverdaa5e17c-cb2c-4014-9726-b77109380ca6', id=49, image_ref='6004b47b-d453-4695-81be-cd127e23f59e', info_cache=InstanceInfoCache, instance_type_id=2, kernel_id='', key_data=None, key_name=None, launch_index=0, launched_at=None, launched_on='42085B38-683D-7455-A6A3-52F35DF929E3', locked=False, locked_by=None, memory_mb=512, metadata={}, node='h', numa_topology=None, os_type=None, pci_devices=<?>, power_state=0, progress=0, project_id='52957ad92b2146a0a2e2b3279cdc2c5a', ramdisk_id='', reservation_id='r-d1dkde4x', root_device_name='/dev/sda', root_gb=1, scheduled_at=None, security_groups=SecurityGroupList, shutdown_terminate=False, system_metadata={ image_base_image_ref='6004b47b-d453-4695-81be-cd127e23f59e', image_container_format='bare', image_disk_format='qcow2', image_min_disk='1', image_min_ram='0', instance_type_ephemeral_gb='0', instance_type_flavorid='1', instance_type_id='2', instance_type_memory_mb='512', instance_type_name='m1.tiny', instance_type_root_gb='1', instance_type_rxtx_factor='1.0', instance_type_swap='0', instance_type_vcpu_weight=None, instance_type_vcpus='1' }, task_state='spawning', terminated_at=None, updated_at=2015-08-31T02:44:38Z, user_data=u'<SANITIZED>, user_id='ea4393b196684c8ba907129181290e8d', uuid=92d22a62-c364-4169-9795-e5a34b5f5968, vcpus=1, vm_mode=None, vm_state='building') :param image_meta: image object returned by nova.image.glance that defines the image from which to boot this instance e.g. { u'status': u'active', u'deleted': False, u'container_format': u'bare', u'min_ram': 0, u'updated_at': u'2015-08-17T07:46:48.708903', u'min_disk': 0, u'owner': u'52957ad92b2146a0a2e2b3279cdc2c5a', u'is_public': True, u'deleted_at': None, u'properties': {}, u'size': 338735104, u'name': u'emall-backend', u'checksum': u'0f2294c98c7d113f0eb26ad3e76c86fa', u'created_at': u'2015-08-17T07:46:20.581706', u'disk_format': u'qcow2', u'id': u'6004b47b-d453-4695-81be-cd127e23f59e' } :param injected_files: User files to inject into instance. :param admin_password: <PASSWORD> password to set in instance. :param network_info: :py:meth:`~nova.network.manager.NetworkManager.get_instance_nw_info` :param block_device_info: Information about block devices to be attached to the instance. """ # self._binding_host(context, network_info, instance.uuid) self._spawn(context, instance, image_meta, injected_files, admin_password, network_info, block_device_info) # self._binding_host(context, network_info, instance.uuid) def pause(self, instance): context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) provider_instance = self._get_provider_instance(context, instance) self.os_novaclient(context).pause(provider_instance) self.os_novaclient(context).check_pause_server_complete( provider_instance) def unpause(self, instance): context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) provider_instance = self._get_provider_instance(context, instance) self.os_novaclient(context).unpause(provider_instance) self.os_novaclient(context).check_unpause_server_complete( provider_instance) def sub_flavor_detail(self, context): """get flavor detail""" ret = [] sub_flavors = self.os_novaclient(context).get_flavor_detail() for sub_flavor in sub_flavors: ret.append(sub_flavor._info) return ret def rename(self, ctxt, instance, display_name=None): provider_uuid = self._get_provider_instance_id(ctxt, instance.uuid) if not display_name: display_name = instance.display_name provider_name = self._generate_provider_instance_name(display_name, instance.uuid) self.os_novaclient(ctxt).rename(provider_uuid, provider_name) def get_diagnostics(self, instance): context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) provider_uuid = self._get_provider_instance_id(context, instance.uuid) return self.os_novaclient(context).get_diagnostics(provider_uuid) def get_instance_diagnostics(self, instance): context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) provider_uuid = self._get_provider_instance_id(context, instance.uuid) return self.os_novaclient(context).get_diagnostics(provider_uuid) def resume_state_on_host_boot(self, context, instance, network_info, block_device_info=None): """resume guest state when a host is booted.""" # Check if the instance is running already and avoid doing # anything if it is. try: provider_instance = self._get_provider_instance(context, instance) ignored_states = ("ACTIVE", "SUSPENDED", "PAUSED") if provider_instance.status in ignored_states: return provider_instance.reboot('HARD') except exception.NovaException: pass def rescue(self, context, instance, network_info, image_meta, rescue_password): provider_instance = self._get_provider_instance(context, instance) rescue_image_id = None if image_meta.obj_attr_is_set("id"): rescue_image_id = image_meta.id image_id = (rescue_image_id or CONF.libvirt.rescue_image_id or instance.image_ref) provider_image_id = self._get_provider_image_id(context, image_id) LOG.debug("+++image id = %s", provider_image_id) provider_instance.rescue(rescue_password, provider_image_id) self.os_novaclient(context).check_rescue_instance_complete( provider_instance) def unrescue(self, instance, network_info): context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) provider_instance = self._get_provider_instance(context, instance) provider_instance.unrescue() self.os_novaclient(context).check_unrescue_instance_complete( provider_instance) def trigger_crash_dump(self, instance): context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) provider_instance_uuid = self._get_provider_instance_id(context, instance.uuid) return self.os_novaclient(context).trigger_crash_dump( provider_instance_uuid) def set_admin_password(self, instance, new_pass): context = req_context.RequestContext(is_admin=True, project_id=instance.project_id) provider_instance_uuid = self._get_provider_instance_id(context, instance.uuid) self.os_novaclient(context).change_password( provider_instance_uuid, new_pass) def get_host_uptime(self): """Returns the result of calling "uptime".""" out, err = utils.execute('env', 'LANG=C', 'uptime') return out def attach_interface(self, instance, image_meta, vif): pass def detach_interface(self, instance, vif): pass def upload_image(self, context, instance, image_meta): LOG.debug("begin to upload image", instance=instance) image_id = image_meta['id'] lxc_volume_id = \ instance.system_metadata.get('lxc_volume_id', None) if not lxc_volume_id: raise exception_ex.LxcVolumeNotFound(instance_uuid=instance.uuid) provider_volume = self._get_provider_volume(context, lxc_volume_id) LOG.debug("lxc volume id = %s", provider_volume.id, instance=instance) image = self._image_api.get(context, image_id) LOG.debug("+++hw, image = %s", image) try: # provider create image provider_image = provider_volume.upload_to_image( True, image["name"], image_meta.get("container-format", "bare"), image_meta.get("disk_format", image.get('disk_format', 'raw'))) except Exception as ex: LOG.exception(_LE("upload image failed! ex = %s"), ex) raise provider_image = provider_image[1]["os-volume_upload_image"] try: # wait upload image success self.os_cinderclient(context).check_upload_image_volume_complete( provider_volume.id) # wait image status active self.os_glanceclient(context).check_image_active_complete( provider_image["image_id"]) # update image property kwargs = {} image_properties = image.get("properties", {}) if image_properties.get('__os_bit', None): kwargs['__os_bit'] = image_properties.get('__os_bit') if image_properties.get('__os_type', None): kwargs['__os_type'] = image_properties.get('__os_type') if image_properties.get('__os_version', None): kwargs['__os_version'] = image_properties.get('__os_version') if image_properties.get('__paltform', None): kwargs['__paltform'] = image_properties.get('__paltform') self.os_glanceclient(context).update(provider_image["image_id"], remove_props=None, **kwargs) # create image mapper values = {"provider_image_id": provider_image["image_id"], 'provider_checksum': provider_image.get("checksum", None)} self.caa_db_api.image_mapper_create(context, image_id, context.project_id, values) except Exception as ex: LOG.exception(_LE("upload image failed! ex = %s"), ex) with excutils.save_and_reraise_exception(): self.os_glanceclient(context).delete(provider_image["image_id"])

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proxyclient/linux.py

modwizcode/m1n1

1

6370

<filename>proxyclient/linux.py #!/usr/bin/python from setup import * payload = open(sys.argv[1], "rb").read() dtb = open(sys.argv[2], "rb").read() if len(sys.argv) > 3: initramfs = open(sys.argv[3], "rb").read() initramfs_size = len(initramfs) else: initramfs = None initramfs_size = 0 compressed_size = len(payload) compressed_addr = u.malloc(compressed_size) dtb_addr = u.malloc(len(dtb)) print("Loading %d bytes to 0x%x..0x%x..." % (compressed_size, compressed_addr, compressed_addr + compressed_size)) iface.writemem(compressed_addr, payload, True) print("Loading DTB to 0x%x..." % dtb_addr) iface.writemem(dtb_addr, dtb) kernel_size = 32 * 1024 * 1024 kernel_base = u.memalign(2 * 1024 * 1024, kernel_size) print("Kernel_base: 0x%x" % kernel_base) assert not (kernel_base & 0xffff) if initramfs is not None: initramfs_base = u.memalign(65536, initramfs_size) print("Loading %d initramfs bytes to 0x%x..." % (initramfs_size, initramfs_base)) iface.writemem(initramfs_base, initramfs, True) p.kboot_set_initrd(initramfs_base, initramfs_size) if p.kboot_prepare_dt(dtb_addr): print("DT prepare failed") sys.exit(1) #kernel_size = p.xzdec(compressed_addr, compressed_size) #if kernel_size < 0: #raise Exception("Decompression header check error!",) #print("Uncompressed kernel size: %d bytes" % kernel_size) print("Uncompressing...") iface.dev.timeout = 40 kernel_size = p.gzdec(compressed_addr, compressed_size, kernel_base, kernel_size) print(kernel_size) if kernel_size < 0: raise Exception("Decompression error!") print("Decompress OK...") p.dc_cvau(kernel_base, kernel_size) p.ic_ivau(kernel_base, kernel_size) print("Ready to boot") daif = u.mrs(DAIF) daif |= 0x3c0 u.msr(DAIF, daif) print("DAIF: %x" % daif) p.kboot_boot(kernel_base) iface.ttymode()

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tests/test_base_class_erosion_model_output_writers_old_style.py

BCampforts/terrainbento

18

1616445

# coding: utf8 # !/usr/env/python # This file has tests for the old style output writers to ensure backwards # compatibility. All of the existing tests for output writers are kept as is. # There are a few new ones too. import glob import os import numpy as np from terrainbento import Basic, NotCoreNodeBaselevelHandler from terrainbento.utilities import filecmp _TEST_OUTPUT_DIR = os.path.join(os.curdir, "output") _TEST_DATA_DIR = os.path.join(os.path.dirname(__file__), "data") def get_output_filepath(filename): return os.path.join(_TEST_OUTPUT_DIR, filename) def cleanup_files(searchpath): files = glob.glob(searchpath) for f in files: os.remove(f) # Some output writers def output_writer_function_a(model): average_elevation = np.mean(model.z[model.grid.core_nodes]) filepath = get_output_filepath(f"ow_func_a.{str(model.model_time)}.txt") with open(filepath, "w") as f: f.write(str(average_elevation)) def output_writer_function_b(model): minimum_elevation = np.min(model.z[model.grid.core_nodes]) filepath = get_output_filepath(f"ow_func_b.{str(model.model_time)}.txt") with open(filepath, "w") as f: f.write(str(minimum_elevation)) class output_writer_class_a(object): def __init__(self, model): self.model = model self.change = model.grid.at_node["cumulative_elevation_change"] def run_one_step(self): average_change = np.mean(self.change[self.model.grid.core_nodes]) model_time_str = str(self.model.model_time) filepath = get_output_filepath(f"ow_class_a.{model_time_str}.txt") with open(filepath, "w") as f: f.write(str(average_change)) class output_writer_class_b(object): def __init__(self, model): self.model = model self.change = model.grid.at_node["cumulative_elevation_change"] def run_one_step(self): min_change = np.min(self.change[self.model.grid.core_nodes]) model_time_str = str(self.model.model_time) filepath = get_output_filepath(f"ow_class_b.{model_time_str}.txt") with open(filepath, "w") as f: f.write(str(min_change)) # Unchanged tests # These tests should have minimal changes to ensure backwards compatibility # I only changed where output files are saved (because failed tests don't clean # up so they fill my test directory with junk files) def test_one_function_writer(clock_08, almost_default_grid): ncnblh = NotCoreNodeBaselevelHandler( almost_default_grid, modify_core_nodes=True, lowering_rate=-1 ) # construct and run model model = Basic( clock_08, almost_default_grid, save_first_timestep=False, water_erodibility=0.0, regolith_transport_parameter=0.0, boundary_handlers={"NotCoreNodeBaselevelHandler": ncnblh}, output_writers={"function": [output_writer_function_a]}, ) model.run() # assert things were done correctly truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_func_a.20.0.txt") test_file = get_output_filepath("ow_func_a.20.0.txt") assert filecmp(test_file, truth_file) is True model.remove_output_netcdfs() cleanup_files("ow_func_a.*.txt") def test_one_class_writer(clock_08, almost_default_grid): ncnblh = NotCoreNodeBaselevelHandler( almost_default_grid, modify_core_nodes=True, lowering_rate=-1 ) # construct and run model model = Basic( clock_08, almost_default_grid, save_first_timestep=False, water_erodibility=0.0, regolith_transport_parameter=0.0, boundary_handlers={"NotCoreNodeBaselevelHandler": ncnblh}, output_writers={"class": [output_writer_class_a]}, ) model.run() # assert things were done correctly truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_class_a.20.0.txt") test_file = get_output_filepath("ow_class_a.20.0.txt") assert filecmp(test_file, truth_file) is True model.remove_output_netcdfs() cleanup_files("ow_class_a.*.txt") def test_two_function_writers(clock_08, almost_default_grid): ncnblh = NotCoreNodeBaselevelHandler( almost_default_grid, modify_core_nodes=True, lowering_rate=-1 ) # construct and run model model = Basic( clock_08, almost_default_grid, save_first_timestep=False, water_erodibility=0.0, regolith_transport_parameter=0.0, boundary_handlers={"NotCoreNodeBaselevelHandler": ncnblh}, output_writers={ "function": [output_writer_function_a, output_writer_function_b] }, ) model.run() # assert things were done correctly truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_func_a.20.0.txt") test_file = get_output_filepath("ow_func_a.20.0.txt") assert filecmp(test_file, truth_file) is True truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_func_b.20.0.txt") test_file = get_output_filepath("ow_func_b.20.0.txt") assert filecmp(test_file, truth_file) is True model.remove_output_netcdfs() cleanup_files("ow_func_*.txt") def test_two_class_writers(clock_08, almost_default_grid): ncnblh = NotCoreNodeBaselevelHandler( almost_default_grid, modify_core_nodes=True, lowering_rate=-1 ) # construct and run model model = Basic( clock_08, almost_default_grid, save_first_timestep=False, water_erodibility=0.0, regolith_transport_parameter=0.0, boundary_handlers={"NotCoreNodeBaselevelHandler": ncnblh}, output_writers={ "class": [output_writer_class_a, output_writer_class_b] }, ) model.run() # assert things were done correctly truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_class_a.20.0.txt") test_file = get_output_filepath("ow_class_a.20.0.txt") assert filecmp(test_file, truth_file) is True truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_class_b.20.0.txt") test_file = get_output_filepath("ow_class_b.20.0.txt") assert filecmp(test_file, truth_file) is True model.remove_output_netcdfs() cleanup_files("ow_class_*.txt") def test_all_four_writers(clock_08, almost_default_grid): ncnblh = NotCoreNodeBaselevelHandler( almost_default_grid, modify_core_nodes=True, lowering_rate=-1 ) # construct and run model model = Basic( clock_08, almost_default_grid, save_first_timestep=False, water_erodibility=0.0, regolith_transport_parameter=0.0, boundary_handlers={"NotCoreNodeBaselevelHandler": ncnblh}, output_writers={ "function": [output_writer_function_a, output_writer_function_b], "class": [output_writer_class_a, output_writer_class_b], }, ) model.run() # assert things were done correctly truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_func_a.20.0.txt") test_file = get_output_filepath("ow_func_a.20.0.txt") assert filecmp(test_file, truth_file) is True truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_func_b.20.0.txt") test_file = get_output_filepath("ow_func_b.20.0.txt") assert filecmp(test_file, truth_file) is True truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_class_a.20.0.txt") test_file = get_output_filepath("ow_class_a.20.0.txt") assert filecmp(test_file, truth_file) is True truth_file = os.path.join(_TEST_DATA_DIR, "truth_ow_class_b.20.0.txt") test_file = get_output_filepath("ow_class_b.20.0.txt") assert filecmp(test_file, truth_file) is True model.remove_output_netcdfs() cleanup_files("ow_func_*.txt") cleanup_files("ow_class_*.txt") # New tests for old style output writers def test_save_first_last_and_multiple_times(clock_08, almost_default_grid): """Test save_first_timestep, save_last_timestep, and saving at multiple timesteps.""" ncnblh = NotCoreNodeBaselevelHandler( almost_default_grid, modify_core_nodes=True, lowering_rate=-1 ) # construct and run model model = Basic( clock_08, almost_default_grid, water_erodibility=0.0, regolith_transport_parameter=0.0, boundary_handlers={"NotCoreNodeBaselevelHandler": ncnblh}, output_writers={ "function": [output_writer_function_a, output_writer_function_b], "class": [output_writer_class_a, output_writer_class_b], }, output_interval=6.0, output_dir=_TEST_OUTPUT_DIR, save_first_timestep=True, save_last_timestep=True, ) model.run() for t in ["0.0", "6.0", "12.0", "18.0", "20.0"]: # assert things were done correctly filename_bases = [ f"ow_func_a.{t}.txt", f"ow_func_b.{t}.txt", f"ow_class_a.{t}.txt", f"ow_class_b.{t}.txt", ] for filename_base in filename_bases: truth_file = os.path.join(_TEST_DATA_DIR, f"truth_{filename_base}") test_file = os.path.join(os.curdir, "output", filename_base) assert filecmp(test_file, truth_file) is True model.remove_output_netcdfs() cleanup_files(get_output_filepath("ow_func_*.txt")) cleanup_files(get_output_filepath("ow_class_*.txt"))

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src/glip/gl/input/__init__.py

anibali/glip

0

181481

<filename>src/glip/gl/input/__init__.py from .keyboard import Key, ModifierKey, KeyboardShortcut, Keyboard from .mouse import MouseButton, Mouse

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model/criterions/__init__.py

UESTC-Liuxin/CVMI_Sementic_Segmentation

0

161563

<reponame>UESTC-Liuxin/CVMI_Sementic_Segmentation<filename>model/criterions/__init__.py ''' Author: <NAME> Date: 2021-11-18 09:58:40 LastEditors: <NAME> LastEditTime: 2021-11-29 22:50:42 Description: file content FilePath: /CVMI_Sementic_Segmentation/model/criterions/__init__.py ''' from model.criterions.ce_loss import * from model.criterions.dice_loss import * from model.criterions.ce_loss import * from model.criterions.se_loss import * from model.criterions.encnet_loss import *

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api/movie_database/movies/migrations/0001_initial.py

cocorocho/movie_database

0

124554

# Generated by Django 3.2.7 on 2022-02-04 13:40 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Director', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=100)), ], options={ 'verbose_name_plural': 'Directors', }, ), migrations.CreateModel( name='Genre', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=40)), ], options={ 'verbose_name_plural': 'Genres', }, ), migrations.CreateModel( name='Language', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ], options={ 'verbose_name_plural': 'Languages', }, ), migrations.CreateModel( name='Poster', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('path', models.FileField(max_length=500, null=True, upload_to='p')), ], ), migrations.CreateModel( name='Movie', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=100)), ('year', models.IntegerField(null=True)), ('description', models.TextField(max_length=900, null=True)), ('score_imdb', models.IntegerField(null=True)), ('score_rotten_tomatoes_critic', models.IntegerField(null=True)), ('score_rotten_tomatoes_audience', models.IntegerField(null=True)), ('score_metacritic_viewer', models.FloatField(null=True)), ('score_metacritic_critic', models.FloatField(null=True)), ('imdb_id', models.CharField(max_length=100, null=True)), ('tmdb_id', models.IntegerField(null=True)), ('adult', models.BooleanField(null=True)), ('vote_count_imdb', models.CharField(max_length=100, null=True)), ('vote_count_metacritic_viewer', models.CharField(max_length=100, null=True)), ('vote_count_metacritic_critic', models.CharField(max_length=100, null=True)), ('genres', models.ManyToManyField(to='movies.Genre')), ('language', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='movies.language')), ('poster', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='movies.poster')), ], options={ 'verbose_name_plural': 'Movies', }, ), migrations.CreateModel( name='Actor', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('movies', models.ManyToManyField(to='movies.Movie')), ], options={ 'verbose_name_plural': 'Actors', }, ), ]

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tests/st/ops/cpu/test_minimum_op.py

PowerOlive/mindspore

3,200

192912

<gh_stars>1000+ # Copyright 2020 Huawei Technologies Co., Ltd # # 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 numpy as np import pytest import mindspore.context as context from mindspore.common.tensor import Tensor from mindspore.nn import Cell from mindspore.ops import operations as P class ConstScalarAndTensorMinimum(Cell): def __init__(self): super(ConstScalarAndTensorMinimum, self).__init__() self.min = P.Minimum() self.x = 20 def construct(self, y): return self.min(self.x, y) class TwoTensorsMinimum(Cell): def __init__(self): super(TwoTensorsMinimum, self).__init__() self.min = P.Minimum() def construct(self, x, y): return self.min(x, y) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_minimum_constScalar_tensor_int(): x = Tensor(np.array([[2, 3, 4], [100, 200, 300]]).astype(np.int32)) expect = [[2, 3, 4], [20, 20, 20]] context.set_context(mode=context.GRAPH_MODE, device_target="CPU") min_op = ConstScalarAndTensorMinimum() output = min_op(x) assert np.all(output.asnumpy() == expect) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_minimum_two_tensors_Not_Broadcast_int(): prop = 100 if np.random.random() > 0.5 else -100 x = np.random.randn(3, 4, 5).astype(np.int32) * prop y = np.random.randn(3, 4, 5).astype(np.int32) * prop expect = np.minimum(x, y).astype(np.int32) context.set_context(mode=context.GRAPH_MODE, device_target="CPU") min_op = TwoTensorsMinimum() output = min_op(Tensor(x), Tensor(y)) assert np.all(output.asnumpy() == expect) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_minimum_two_tensors_Broadcast_int(): prop = 100 if np.random.random() > 0.5 else -100 x = np.random.randn(3, 4, 5).astype(np.int32) * prop y = np.random.randn(3, 1, 1).astype(np.int32) * prop expect = np.minimum(x, y).astype(np.int32) context.set_context(mode=context.GRAPH_MODE, device_target="CPU") min_op = TwoTensorsMinimum() output = min_op(Tensor(x), Tensor(y)) assert np.all(output.asnumpy() == expect) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_minimum_two_tensors_Broadcast_oneDimension_int(): prop = 100 if np.random.random() > 0.5 else -100 x = np.random.randn(3).astype(np.int32) * prop y = np.random.randn(3).astype(np.int32) * prop expect = np.minimum(x, y).astype(np.int32) context.set_context(mode=context.GRAPH_MODE, device_target="CPU") min_op = TwoTensorsMinimum() output = min_op(Tensor(x), Tensor(y)) assert np.all(output.asnumpy() == expect) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_minimum_two_tensors_notBroadcast_all_oneDimension_int(): x = Tensor(np.array([[2]]).astype(np.int32)) y = Tensor(np.array([[100]]).astype(np.int32)) expect = [[2]] context.set_context(mode=context.GRAPH_MODE, device_target="CPU") min_op = TwoTensorsMinimum() output = min_op(x, y) assert np.all(output.asnumpy() == expect) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_minimum_two_tensors_notBroadcast_float32(): prop = 100 if np.random.random() > 0.5 else -100 x = np.random.randn(3, 4, 5).astype(np.float32) * prop y = np.random.randn(3, 4, 5).astype(np.float32) * prop expect = np.minimum(x, y).astype(np.float32) error = np.ones(shape=expect.shape) * 1.0e-5 context.set_context(mode=context.GRAPH_MODE, device_target="CPU") min_op = TwoTensorsMinimum() output = min_op(Tensor(x), Tensor(y)) diff = output.asnumpy() - expect assert np.all(np.abs(diff) < error) assert output.shape == expect.shape @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_minimum_two_tensors_notBroadcast_float16(): prop = 100 if np.random.random() > 0.5 else -100 x = np.random.randn(3, 4, 5).astype(np.float16) * prop y = np.random.randn(3, 4, 5).astype(np.float16) * prop expect = np.minimum(x, y).astype(np.float16) error = np.ones(shape=expect.shape) * 1.0e-5 context.set_context(mode=context.GRAPH_MODE, device_target="CPU") min_op = TwoTensorsMinimum() output = min_op(Tensor(x), Tensor(y)) diff = output.asnumpy() - expect assert np.all(np.abs(diff) < error) assert output.shape == expect.shape @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_minimum_two_tensors_Broadcast_float16(): prop = 100 if np.random.random() > 0.5 else -100 x = np.random.randn(3, 4, 5).astype(np.float16) * prop y = np.random.randn(3, 4, 1).astype(np.float16) * prop expect = np.minimum(x, y).astype(np.float16) error = np.ones(shape=expect.shape) * 1.0e-5 context.set_context(mode=context.GRAPH_MODE, device_target="CPU") min_op = TwoTensorsMinimum() output = min_op(Tensor(x), Tensor(y)) diff = output.asnumpy() - expect assert np.all(np.abs(diff) < error) assert output.shape == expect.shape @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_minimum_two_tensors_notBroadcast_float64(): prop = 100 if np.random.random() > 0.5 else -100 x = np.random.randn(3, 4, 1).astype(np.float64) * prop y = np.random.randn(3, 4, 5).astype(np.float64) * prop expect = np.minimum(x, y).astype(np.float64) error = np.ones(shape=expect.shape) * 1.0e-5 context.set_context(mode=context.GRAPH_MODE, device_target="CPU") min_op = TwoTensorsMinimum() output = min_op(Tensor(x), Tensor(y)) diff = output.asnumpy() - expect assert np.all(np.abs(diff) < error) assert output.shape == expect.shape

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narnia/common.py

maisammusthafa/narnia

0

180444

<reponame>maisammusthafa/narnia<filename>narnia/common.py #!/usr/bin/env python3 """ common objects """ import argparse import configparser import curses import io import os import re import sys import narnia.pyaria2 as pyaria2 from narnia.colorstr import add_cstr from datetime import datetime class Globals: tty = {'curr_h': 0, 'curr_w': 0, 'prev_h': 0, 'prev_w': 0} header = None status = None downloads = [] download_states = [[], [], []] num_downloads = 0 focused = None start_idx = 0 curr_pos = 0 timer_ui = 0 queue = None s_pos = '<status.b> [top]</status.b>' s_textbox = '' def log(message): with open('log.txt', 'a') as log_file: time = datetime.now().strftime('%H:%M:%S') line = '{} {}\n'.format(time, message) log_file.write(line) g = Globals def refresh_windows(): """ update window widths and refresh them """ g.tty['curr_h'], g.tty['curr_w'] = list(map( int, os.popen('stty size', 'r').read().split())) if g.num_downloads < g.tty['curr_h']: g.start_idx = 0 c.widths.name = g.tty['curr_w'] - \ (c.widths.size + c.widths.status + c.widths.progress + c.widths.percent + c.widths.seeds_peers + c.widths.speed + c.widths.eta) g.header.update() g.file_status.clear() g.file_status.noutrefresh() g.file_status = curses.newwin(1, g.tty['curr_w'], g.tty['curr_h'] - 2, 0) g.pos_status.clear() g.pos_status.noutrefresh() g.pos_status = curses.newwin(1, 8, g.tty['curr_h'] - 1, g.tty['curr_w'] - 7) add_cstr(0, 0, g.s_pos, g.pos_status) g.status.win.clear() g.status.win.noutrefresh() g.status.update(g.status.data) for i in range(g.start_idx, min(g.num_downloads, g.tty['curr_h'] - 3) + g.start_idx): g.downloads[i].draw(i - g.start_idx + 1, True) curses.doupdate() g.timer_ui = (c.refresh_interval * 100) - 1 class Keybindings: def __init__(self, keybindings): self.key_up = ord(keybindings.get('up', 'k')) self.key_down = ord(keybindings.get('down', 'j')) self.pause_all = ord(keybindings.get('pause-all', 'P')) self.pause = ord(keybindings.get('pause', 'p')) self.add = ord(keybindings.get('add', 'a')) self.delete = ord(keybindings.get('delete', 'd')) self.purge = ord(keybindings.get('purge', 'D')) self.queue_up = ord(keybindings.get('queue-up', 'K')) self.queue_down = ord(keybindings.get('queue-down', 'J')) self.select = ord(keybindings.get('select-file', 'v')) self.expand = ord(keybindings.get('expand-torrent', 'h')) self.retry = ord(keybindings.get('retry', 'r')) self.quit = ord(keybindings.get('quit', 'q')) class Colors: def __init__(self, colors): self.enable_colors = colors.getboolean('colors', True) if self.enable_colors: self.status_colors = { 'active': colors.get('dl-active', 'base2').join('<>'), 'paused': colors.get('dl-paused', 'default').join('<>'), 'skip': colors.get('dl-skip', 'default').join('<>'), 'waiting': colors.get('dl-waiting', 'blue').join('<>'), 'pending': colors.get('dl-pending', 'blue').join('<>'), 'complete': colors.get('dl-complete', 'green').join('<>'), 'removed': colors.get('dl-removed', 'yellow').join('<>'), 'error': colors.get('dl-error', 'red').join('<>'), } else: self.status_colors = { } class Widths: def __init__(self, interface): self.size = interface.getint('width-size', 10) self.status = interface.getint('width-status', 11) self.progress = interface.getint('width-progress', 15) self.percent = interface.getint('width-percent', 10) self.seeds_peers = interface.getint('width-seeds-peers', 10) self.speed = interface.getint('width-speed', 14) self.eta = interface.getint('width-eta', 12) self.name = g.tty['curr_w'] - \ (self.size + self.status + self.progress + self.percent + self.seeds_peers + self.speed + self.eta) class Config: def load_conf(name, sections): conf = configparser.ConfigParser() conf_file = os.path.expanduser("~/.config/narnia/" + name) if not os.path.isfile(conf_file): conf_file = io.StringIO(sections) conf.readfp(conf_file) else: conf.read(conf_file) return conf # TODO: Fix crash on missing config sections config = load_conf('config', '[Connection]\n[UI]\n[Colors]\n[Keybindings]') profiles = load_conf('profiles', '[default]') profile = config['Connection'].get('profile', 'default') parser = argparse.ArgumentParser(description='A curses-based console client for aria2') parser.add_argument('-c', '--connection', help='Pre-configured narnia connection profile to use', default=profile) parser.add_argument('-s', '--server', help='Server to connect to') parser.add_argument('-p', '--port', help='Port to connect through') parser.add_argument('-t', '--token', help='aria2 RPC secret token') parser.add_argument('-d', '--delete', help='Delete a download using its GID') parser.add_argument('-i', '--info', help='Returns info on a download using its GID') parser.add_argument('file', nargs='*') args = parser.parse_args() profile = args.connection server = profiles[profile].get('server', 'localhost') if args.server is None else \ args.server port = profiles[profile].getint('port', 6800) if args.port is None else \ int(args.port) token = profiles[profile].get('rpc-secret', '') if args.token is None else \ args.token aria2 = pyaria2.PyAria2(server, port, token) if args.file != []: for i_file in args.file: aria2.add_uri([i_file]) sys.exit() elif args.delete is not None: aria2.remove_download_result(args.delete) sys.exit() elif args.info is not None: print(aria2.tell_status(token, args.info)) sys.exit() interface = config['UI'] keys = Keybindings(config['Keybindings']) colors = Colors(config['Colors']) widths = Widths(interface) refresh_interval = interface.getfloat('refresh-interval', 0.5) progress_markers = interface.get('progress-bar-markers', '[]') progress_char = interface.get('progress-bar-char', '#') c = Config def format_size(raw_size, spacing=''): suffixes = [(1024 ** 3, 'G'), (1024 ** 2, 'M'), (1024, 'K'), (1, 'B')] size = 0 for item in suffixes: if raw_size >= item[0]: size = raw_size / item[0] if size > 999 and size < 1024: size /= 1024 suffix = suffixes[suffixes.index(item) - 1][1] break suffix = item[1] break suffix = item[1] rounding = "%0.0f" if any(x in suffix for x in ['K', 'B']) else "%0.1f" return str(rounding % size) + spacing + suffix def format_time(eta_s): mins, secs = divmod(eta_s, 60) hrs, mins = divmod(mins, 60) days, hrs = divmod(hrs, 24) if days > 0: d_eta = "%dd %dh %dm" % (days, hrs, mins) else: d_eta = "%dh %dm %ds" % (hrs, mins, secs) d_eta = re.sub(r'(^0\w)|(\s0\w)', '', d_eta).strip() return d_eta def create_row(*fields): """ generate aligned row """ row = "" for field in fields: value, width, padding, alignment = \ field[0], field[1], field[2], field[3] value = value[:(width - padding)] + ".." \ if len(value) > width - padding else value if alignment == 'right': row += (value + (width - len(value)) * ' ') else: row += ((width - len(value) - padding) * ' ' + value + padding * ' ') return row class Header: def __init__(self): self.update() def update(self): """ generate header """ self.win = curses.newwin(1, g.tty['curr_w'], 0, 0) name, size, status, progress, percent, seeds_peers, speed, eta = \ "NAME", "SIZE", "STATUS", "PROGRESS", "", "S/P", "D/U", "ETA" self.string = create_row( (name, c.widths.name, 3, 'right'), (size, c.widths.size, 3, 'left'), (status, c.widths.status, 3, 'right'), (progress, c.widths.progress, 3, 'right'), (percent, c.widths.percent, 3, 'right'), (seeds_peers, c.widths.seeds_peers, 3, 'left'), (speed, c.widths.speed, 3, 'left'), (eta, c.widths.eta, 1, 'left') ) def draw(self, init): """ draw header """ if g.tty['prev_w'] == g.tty['curr_w'] and not init: return self.win.clear() try: add_cstr(0, 0, '<header.b>' + self.string + '</header.b>', self.win) except curses.error: pass self.win.noutrefresh() class Status: def __init__(self): self.data = {'downloadSpeed': '0', 'numActive': '0', 'numStopped': '0', 'numStoppedTotal': '0', 'numWaiting': '0', 'uploadSpeed': '0'} self.version = '0.00.0' self.string = None self.update(self.data) def refresh_data(self): """ refresh status bar data """ # TODO: [BUG] Does not set connected status to False if internet is disconnected try: if self.version == '0.00.0': self.version = c.aria2.get_version()['version'] self.data = c.aria2.get_global_stat() except: self.version = '0.00.0' c.aria2.connected = False def create_string(self): s_server = 'server: {}:{} (v{})'.format(c.server, c.port, self.version) num_downloads = int(self.data['numActive']) + \ int(self.data['numWaiting']) + int(self.data['numStopped']) s_downloads = 'downloads: ' + self.data['numStopped'] + \ '/' + str(num_downloads) s_speed = 'D/U: ' + format_size(int(self.data['downloadSpeed'])) + '/' + \ format_size(int(self.data['uploadSpeed'])) self.string = create_row( (s_server, g.tty['curr_w'] - 21 - 14 - 7, 3, 'right'), (s_downloads, 21, 3, 'right'), (s_speed, 14, 1, 'left') ) def update(self, data): """ generate status """ if self.string is not None and \ g.tty['prev_h'] == g.tty['curr_h'] and \ g.tty['prev_w'] == g.tty['curr_w'] and \ self.data == data: self.changed = False return self.changed = True self.data = data self.win = curses.newwin(1, g.tty['curr_w'] - 7, g.tty['curr_h'] - 1, 0) self.create_string() def draw(self, init): # TODO: Evaluate the init logic here if not self.changed and not init: return self.win.clear() self.win.noutrefresh() self.create_string() c_string = self.string if not c.aria2.connected: c_string = self.string.replace('server: ', 'server: <status_err.b>').replace(') ', ')</status_err.b><status.b> ') c_string = '<status.b>{}</status.b>'.format(c_string) try: add_cstr(0, 0, c_string, self.win) except curses.error: pass self.win.noutrefresh()

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tests/aat/spec/modules_spec.py

DerangedMonkeyNinja/openperf

20

1604706

<filename>tests/aat/spec/modules_spec.py from mamba import description, before, after, it from expects import * import os import client.api import client.models from common import Config, Service from common.matcher import be_valid_module, raise_api_exception CONFIG = Config(os.path.join(os.path.dirname(__file__), os.environ.get('MAMBA_CONFIG', 'config.yaml'))) with description('Modules, ', 'modules') as self: with before.all: service = Service(CONFIG.service()) self.process = service.start() self.api = client.api.ModulesApi(service.client()) with description('list, '): with description('all, '): with it('returns list of modules'): modules = self.api.list_modules() expect(modules).not_to(be_empty) for module in modules: expect(module).to(be_valid_module) with description('unsupported method, '): with it('returns 405'): expect(lambda: self.api.api_client.call_api('/modules', 'PUT')).to(raise_api_exception( 405, headers={'Allow': "GET"})) with description('get, '): with description('known module, '): with description('packetio'): with it('succeeds'): module = self.api.get_module('packetio') expect(module).to(be_valid_module) expect(module.id).to(equal('packetio')) expect(module.version.version).to(equal(1)) with description('non-existent module, '): with it('returns 404'): expect(lambda: self.api.get_module('insertnotfoundmodulenamehere')).to(raise_api_exception(404)) with description('unsupported method, '): with it('returns 405'): expect(lambda: self.api.api_client.call_api('/modules/hi', 'PUT')).to(raise_api_exception( 405, headers={'Allow': "GET"})) with description('invalid module name, '): with it('returns 400'): expect(lambda: self.api.get_module('and&').to(raise_api_exception(400))) with after.all: try: self.process.terminate() self.process.wait() except AttributeError: pass

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utils/strings_util.py

ScriptHound/vk_schema_codegen

9

166878

<reponame>ScriptHound/vk_schema_codegen import json import re from keyword import kwlist def get_type_from_reference(str_ref, convert_to_calmel_case=True) -> str: pattern = r".*/(.*)" ref_type = re.search(pattern, str_ref).group(1) if convert_to_calmel_case: return snake_case_to_camel_case(ref_type) return ref_type def get_annotation_type(item: dict): if item.get("type") == "array": if item["items"].get("type"): type_anno = [item["items"]["type"]] else: type_anno = item["items"].get("$ref") type_anno = [get_type_from_reference(type_anno)] elif item.get("type") and not item.get("$ref"): type_anno = item.get("type") elif item.get("oneOf"): type_anno = [get_annotation_type(item) for item in item["oneOf"]] else: type_anno = item.get("$ref") type_anno = get_type_from_reference(type_anno) return type_anno def output_switch_decorator(function): """If input is dict, then return dict If input is a single element, return single element """ def wrapper(arg): keys_type = type(dict().keys()) if not isinstance(arg, (keys_type, list)): arg = {arg: arg} result = function(arg) if len(arg) == 1: # get first value in returned dict return result[next(iter(result))] return result return wrapper def get_json_dict(path: str) -> dict: with open(path, "r") as f: return json.loads(f.read()) @output_switch_decorator def snake_case_to_camel_case(string_list: list) -> dict: words_list: list = [] for item in string_list: words_list.append( "".join(word[0].upper() + word[1:] for word in item.split("_")) ) return dict(zip(string_list, words_list)) def camel_case_to_snake_case(string: str) -> dict: return "".join( "_" + symbol.lower() if symbol.isupper() else symbol for symbol in list(string) ).strip("_") def convert_to_python_type(field): if field.lower() == "array": return "list" elif field.lower() == "boolean": return "bool" elif field.lower() == "integer": return "int" elif field.lower() == "number": return "float" elif field.lower() == "object": return "typing.Any" elif field.lower() == "string": return "str" else: return str(field) def shift_json_dict_names(plain_data: str, classnames: str) -> dict: return {v: plain_data[k] for k, v in classnames.items()} def categorize_methods_as_files(json_dict: dict) -> dict: filenames = set() for method_dict in json_dict["methods"]: method_name = method_dict["name"].split(".")[0] filenames.add(method_name) return {name: {} for name in filenames} def resolve_property_name(name: str): if name[0].isdigit() or name in kwlist: name = "_" + name return name

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1746, 29889, 13609, 580, 1275, 376, 2378, 1115, 13, 4706, 736, 376, 1761, 29908, 13, 1678, 25342, 1746, 29889, 13609, 580, 1275, 376, 20054, 1115, 13, 4706, 736, 376, 11227, 29908, 13, 1678, 25342, 1746, 29889, 13609, 580, 1275, 376, 16031, 1115, 13, 4706, 736, 376, 524, 29908, 13, 1678, 25342, 1746, 29889, 13609, 580, 1275, 376, 4537, 1115, 13, 4706, 736, 376, 7411, 29908, 13, 1678, 25342, 1746, 29889, 13609, 580, 1275, 376, 3318, 1115, 13, 4706, 736, 376, 1017, 15702, 29889, 10773, 29908, 13, 1678, 25342, 1746, 29889, 13609, 580, 1275, 376, 1807, 1115, 13, 4706, 736, 376, 710, 29908, 13, 1678, 1683, 29901, 13, 4706, 736, 851, 29898, 2671, 29897, 13, 13, 13, 1753, 9500, 29918, 3126, 29918, 8977, 29918, 7039, 29898, 24595, 29918, 1272, 29901, 851, 29892, 770, 7039, 29901, 851, 29897, 1599, 9657, 29901, 13, 1678, 736, 426, 29894, 29901, 8656, 29918, 1272, 29961, 29895, 29962, 363, 413, 29892, 325, 297, 770, 7039, 29889, 7076, 28296, 13, 13, 13, 1753, 11608, 675, 29918, 23515, 29918, 294, 29918, 5325, 29898, 3126, 29918, 8977, 29901, 9657, 29897, 1599, 9657, 29901, 13, 1678, 977, 264, 1280, 353, 731, 580, 13, 1678, 363, 1158, 29918, 8977, 297, 4390, 29918, 8977, 3366, 23515, 3108, 29901, 13, 4706, 1158, 29918, 978, 353, 1158, 29918, 8977, 3366, 978, 16862, 5451, 17350, 1159, 29961, 29900, 29962, 13, 4706, 977, 264, 1280, 29889, 1202, 29898, 5696, 29918, 978, 29897, 13, 13, 1678, 736, 426, 978, 29901, 6571, 363, 1024, 297, 977, 264, 1280, 29913, 13, 13, 13, 1753, 8814, 29918, 6799, 29918, 978, 29898, 978, 29901, 851, 1125, 13, 1678, 565, 1024, 29961, 29900, 1822, 275, 26204, 580, 470, 1024, 297, 9049, 1761, 29901, 13, 4706, 1024, 353, 11119, 29908, 718, 1024, 13, 1678, 736, 1024, 13, 2 ]

filer/server/backends/xsendfile.py

PeterW-LWL/django-filer

134

1609923

# -*- coding: utf-8 -*- from __future__ import absolute_import from django.http import HttpResponse from .base import ServerBase class ApacheXSendfileServer(ServerBase): def serve(self, request, file_obj, **kwargs): response = HttpResponse() response['X-Sendfile'] = file_obj.path # This is needed for lighttpd, hopefully this will # not be needed after this is fixed: # http://redmine.lighttpd.net/issues/2076 response['Content-Type'] = self.get_mimetype(file_obj.path) self.default_headers(request=request, response=response, file_obj=file_obj, **kwargs) return response

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app/auth/forms.py

AngelMunoz/FlaskBlueprintsDemo

2

1600536

<filename>app/auth/forms.py from flask_wtf import FlaskForm # , RecaptchaField from wtforms import StringField, PasswordField #, BooleanField from wtforms.validators import Required, Email, EqualTo class LoginForm(FlaskForm): email = StringField('Email Address', [Email(), Required(message='Forgot your email address?')]) password = PasswordField('Password', [ Required(message='Must provide a password.')]) class RegisterForm(FlaskForm): email = StringField('Email Address', [Email(), Required(message='Forgot your email address?')]) password = PasswordField('Password', [ Required(message='Must provide a password.')]) password_repeat = PasswordField('Please Repeat your Password',[ Required(message="You must type your password again")]) name = StringField('Name', [Required(message='Please add your name')]) second_name = StringField('Second Name') lastname = StringField('last Name', [Required(message='Please add your Last Name')]) second_lastname = StringField('Second Lastname') rfc = StringField('RFC', [Required(message='Please add your RFC')]) company = StringField('Company', [Required(message="Please add your Company's Name")])

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chess.py

asomfai/pgn_compress

0

123096

from decimal import * import math import string import colorama import sys import copy colorama.init() # rows and columns are indexed by numbers [0:7] #DONE: fill default board #DONE: read a play from a file #DONE: castling #DONE: fix castling #DONE: play back and check every steps validity #DONE: generate numeric code #DONE: read PGN file with more games #DONE: decoding #DONE: create castling move class #DONE: create e.p. move class #DONE: support Pawn promotion (pawn move followed by =<piece type>) #DONE: handle ambiguous moves: if more piece can do the move, the one NOT letting the king in a checked position can move #todo: make table a class #DONE: en passant #todo: batch files: more binaries in bin, more tables in in one log file ############################# Chess Table Representation ############################# class Piece (object): # pieces: color:w/b Type:King,Queen,Rooks,Bishops,kNights,Pawns def __init__(self, Color, Type, Moved=False): self.Color = Color self.Type = Type self.Moved = Moved if Color not in ["w","b"]: raise Exception("Bad color",Color) if Type not in ["Q","K","B","R","N","P"]: raise Exception("Bad Type",Type) if Moved not in [True,False]: raise Exception("Bad Moved",Moved) def __eq__(self, other): return type(other)==Piece and self.Color == other.Color and self.Type == other.Type and self.Moved == other.Moved def __ne__(self, other): return not self.__eq__(other) def isWhite(self):return self.Color=="w"; def isBlack(self):return self.Color=="b"; def isMoved(self):return self.Moved; def isQueen(self):return self.Type == "Q"; def isKing(self):return self.Type == "K"; def isRook(self):return self.Type == "R"; def isBishop(self):return self.Type == "B"; def isKnight(self):return self.Type == "N"; def isPawn(self):return self.Type == "P"; def toString(self):return self.Color+self.Type; ############################# define move ############################# class Move (object): def __init__(self, piece, to_x,to_y,capture=False,kingcapture=False): self.piece = piece self.to_x = to_x self.to_y = to_y self.capture = capture self.from_x=None self.from_y=None self.promotion=None #piece promoted to self.Kingcapture=kingcapture if self.to_x not in range(0,8):raise Exception("Bad move to",self.to_x,self.to_y,capture) if self.to_y not in range(0,8):raise Exception("Bad move to",self.to_x,self.to_y,capture) if self.capture not in [True,False] :raise Exception("Bad move to",to_x,to_y,capture) def isKingCapture(self): return self.Kingcapture def toString(self): string = self.piece.toString() if self.from_x != None: string += 'abcdefgh'[self.from_x] if self.from_y != None: string += str(self.from_y+1) string += 'abcdefgh'[self.to_x] string += str(self.to_y+1) if self.capture: if self.Kingcapture: string += "+" else: string += "X" if self.promotion!=None: string += "=" + self.promotion.toString() return string def Match(self, other): if type(other) is Castling: return False if type(other) is EnPassant: return self.piece.isPawn() and other.piece.isPawn() and self.to_x == other.to_x and self.to_y == other.to_y if self.to_x != other.to_x or self.to_y != other.to_y : return False if self.promotion != other.promotion : return False return self.piece.Type == other.piece.Type class Castling (object): def __init__(self, piece, to_x,to_y): self.piece = piece self.to_x = to_x self.to_y = to_y self.from_x=None self.from_y=None def isKingCapture(self): return False def toString(self): string = self.piece.toString() if self.to_x==2: string += " O-O-O to "+str(self.to_x) else: string += " O-O to "+str(self.to_x) return string def Match(self, other): if not type(other) is Castling: return False if self.to_x != other.to_x: return False return True class EnPassant (Move): def __init__(self, piece, to_x,to_y,capture_x,capture_y): super(EnPassant,self).__init__(piece, to_x,to_y,True) self.ep_x=capture_x self.ep_y=capture_y def isKingCapture(self): return False def toString(self): return super(EnPassant,self).toString()+"e.p." ############################# directional moves: King,Queen,Bishop,Rook ############################# # direction table: direction=[[-1,-1],[-1, 0],[-1, 1],[ 0, 1],[ 1, 1],[ 1, 0],[ 1,-1],[ 0,-1]] # return: [] if not valid, [to_x,to_y] if valid, [to_x,to_y,"!<captured_piece>"] if opposite players piece is captured def ValidMove(to_x,to_y,piece): #print "piece",piece.toString()," move to ",to_x,to_y, #print "" if LastMove==None else LastMove.toString() #if LastMove!=None and LastMove.piece.isPawn() and piece.isPawn(): #print LastMove.from_x,LastMove.from_y,LastMove.to_x, LastMove.to_y ,to_x, to_y if not to_x in range(0,8) or not to_y in range(0,8): #print "out" return None if table[to_x][to_y]==None: #print "valid, free", #check en passant if LastMove!=None and LastMove.piece.isPawn() and piece.isPawn(): if LastMove.from_y-LastMove.to_y in [-2,2] and LastMove.from_x == to_x and LastMove.from_x == LastMove.to_x and (LastMove.from_y+LastMove.to_y)/2 == to_y: #print "e.p." return EnPassant(piece,to_x,to_y,LastMove.to_x,LastMove.to_y) return Move(piece,to_x,to_y) elif table[to_x][to_y].Color!=piece.Color: #print "valid, capture" return Move(piece,to_x,to_y,True,table[to_x][to_y].isKing()) #print "occupied" return None def DirectionalMove(x,y,start,step,max_range,piece): steps=[] # possible steps if table[x][y] != piece: print 'figure @',x,' ',y,'=',table[x][y].toString(),'is not a '+piece.toString()+'!' return steps else: for dir in range(start,8,step): dx=direction[dir][0] dy=direction[dir][1] for distance in range(1,max_range+1): next_x=x+dx*distance next_y=y+dy*distance valid_step=ValidMove(next_x,next_y,piece); if valid_step!=None:steps.append(valid_step) if valid_step==None or valid_step.capture: break; return steps def QueenMoves(x,y,piece): return DirectionalMove(x,y,0,1,7,piece) def RookMoves(x,y,piece): return DirectionalMove(x,y,1,2,7,piece) def BishopMoves(x,y,piece): return DirectionalMove(x,y,0,2,7,piece) ############################# special moves ############################# def KingMoves(x,y,piece): steps = [] if not piece.Moved: if not(y == 0 and piece.isWhite() or y==7 and piece.isBlack()):raise Exception("King.Moved does not match its rank!") if not(x == 4):raise Exception("King.Moved does not match its file!") for rook_file,castling_direction in [(0,-1),(7,+1)]: #rook at start position, not moved if table[rook_file][y]!=None and table[rook_file][y].Moved==False and table[rook_file][y].isRook(): #no pieces between them castling_possible=True for x_r in range(x+castling_direction,rook_file,castling_direction): if table[x_r][y]!=None: castling_possible=False break if castling_possible: steps.append(Castling(piece,x+2*castling_direction,y)) return steps+DirectionalMove(x,y,0,1,1,piece) KnightMoveDeltas=[[-1,-2],[-1, 2],[ 1,-2],[ 1, 2],[-2,-1],[-2, 1],[ 2,-1],[ 2, 1]] def KnightMoves(x,y,piece): steps=[] if table[x][y] != piece: print 'figure @',x,' ',y,'=',table[x][y].toString(),'is not a '+piece.toString()+'!' return steps for knigt_move in KnightMoveDeltas: valid_move=ValidMove(x+knigt_move[0],y+knigt_move[1],piece) if valid_move!=None: steps.append(valid_move) return steps def PawnMoves(x,y,piece): #print "check pawn moves @",x,y steps=[] if table[x][y] != piece: print 'figure @',x,' ',y,'=',table[x][y].toString(),'is not a '+piece.toString()+'!' return steps direction = 1 if piece.isWhite() else -1 #print direction # forward valid_move=ValidMove(x,y+direction,piece) if valid_move != None and valid_move.capture==False: steps.append(valid_move) #print steps #when not moved yet, pawn may step make 2 steps forward if valid_move!= None and valid_move.capture==False and not piece.Moved: valid_move=ValidMove(x,y+direction+direction,piece) if valid_move != None:steps.append(valid_move) #capture left or right valid_move=ValidMove(x-1,y+direction,piece) if valid_move != None and valid_move.capture:steps.append(valid_move) valid_move=ValidMove(x+1,y+direction,piece) if valid_move != None and valid_move.capture:steps.append(valid_move) if False: for move in steps:print move.toString(), #create possible promotions new_steps = [] for step in steps: if piece.Color=="w" and step.to_y==7 or piece.Color=="b" and step.to_y==0: # print "PROMOTIONS" promotion_types="QNBR" for type in promotion_types: new_step=copy.copy(step) new_step.promotion=Piece(piece.Color,type) new_steps.append(new_step) # print new_step.toString(),new_step.promotion==Piece(piece.Color,type) else: new_steps.append(step) return new_steps def GeneralMove(x,y): steps=[] piece=table[x][y] if piece==None:return [] # print x,y,piece.toString() if piece.isKing():return KingMoves(x,y,piece) if piece.isQueen():return QueenMoves(x,y,piece) if piece.isBishop():return BishopMoves(x,y,piece) if piece.isRook():return RookMoves(x,y,piece) if piece.isKnight():return KnightMoves(x,y,piece) if piece.isPawn():return PawnMoves(x,y,piece) raise Exception("Something really bad happened @"+x+y) return [] #do a move def DoMove(x_from,y_from,move): # last move - used for e.p. global LastMove # print "Make Move:",move.toString() x_to=move.to_x y_to=move.to_y #check piece=table[x_from][y_from] if piece==None: raise Exception('Move from empty field',x_from,y_from) #castling if type(move) is Castling: if y_to not in [0,7]:raise Exception("Castling move error - bad rank") if x_to not in [2,6]:raise Exception("Castling move error - bad file") if table[x_to][y_to]!=None:raise Exception("Castling move error - occupied") if x_to==2: if table[0][y_to]==None or not table[0][y_to].isRook():raise Exception("Castling rook missing") table[3][y_to],table[0][y_to]=table[0][y_to],table[3][y_to] # move rook table[4][y_to],table[2][y_to]=table[2][y_to],table[4][y_to] # move king table[2][y_to].Moved=table[3][y_to].Moved=True elif x_to==6: if table[7][y_to]==None or not table[7][y_to].isRook():raise Exception("Castling rook missing") table[7][y_to],table[5][y_to]=table[5][y_to],table[7][y_to] # move rook table[6][y_to],table[4][y_to]=table[4][y_to],table[6][y_to] # move king table[5][y_to].Moved=table[6][y_to].Moved=True else: raise Exception('Not a valid castling move.') elif type(move) is EnPassant: assert(table[x_to][y_to]==None) table[x_to][y_to],table[x_from][y_from]=table[x_from][y_from],table[x_to][y_to] table[x_to][y_to].Moved=True #capture en passant pawn assert LastMove.piece.isPawn() table[LastMove.to_x][LastMove.to_y]=None else: #print x_to,y_to,table[x_to][y_to] #normal move #empty field? if table[x_to][y_to]==None: table[x_to][y_to],table[x_from][y_from]=table[x_from][y_from],table[x_to][y_to] #capture other players piece? elif table[x_to][y_to].Color!=table[x_from][y_from].Color: table[x_to][y_to]=table[x_from][y_from] table[x_from][y_from]=None else: raise Exception('Field occupied by friendly piece',table[x_to][y_to]) if type(move.promotion)==Piece: # print "Promotion done" table[x_to][y_to].Type = move.promotion.Type table[x_to][y_to].Moved=True LastMove = move; LastMove.from_x=x_from; LastMove.from_y=y_from # print "New Last Move=",LastMove.toString() # except Exception as inst: # print inst # raise inst # pass # setup initial table table = [] LastMove = None def SetupTable(): global table empty_square=None line=[empty_square,empty_square,empty_square,empty_square,empty_square,empty_square,empty_square,empty_square] table=[line[:],line[:],line[:],line[:],line[:],line[:],line[:],line[:]] table[0][0]=Piece('w','R');table[7][0]=Piece('w','R') table[1][0]=Piece('w','N');table[6][0]=Piece('w','N') table[2][0]=Piece('w','B');table[5][0]=Piece('w','B') table[3][0]=Piece('w','Q') table[4][0]=Piece('w','K') for i in range(0,8):table[i][1]=Piece('w','P');table[i][6]=Piece('b','P');table[i][7]=None if table[i][0]==None else Piece('b',table[i][0].Type) def PrintTable(): return print " abcdefgh" for y in range(7,-1,-1): line_string=str(y+1) for x in range(0,8): line_string += colorama.Back.YELLOW if (x+y) % 2 == 1 else colorama.Back.BLUE field=table[x][y] if field == None: line_string += " " else: if field.Color=="w": line_string += colorama.Fore.WHITE else: line_string += colorama.Fore.BLACK line_string += field.Type print line_string+colorama.Style.RESET_ALL def LogTable(step): string=str(step)+".\n" string+=" abcdefgh\n" for y in range(7,-1,-1): string+=str(y+1) for x in range(0,8): field=table[x][y] if field == None: string += " " else: string += field.Type if field.Color =="w" else field.Type.lower() string+="\n" string+="\n" return string ############################# read PGN file ############################# class TokenFile: class EndOfFile: def __init__(self): pass def __init__(self,filename): print "opening ",filename, my_file=open(filename) self.string = my_file.read() self.pos=0 self.len=len(self.string) my_file.close() print self.len,"chars" def isWhiteSpaceChar(self,char): return char in " \t\n" def skip_whitespaces(self): while True: c = self.getChar() if not self.isWhiteSpaceChar(c): return c self.nextChar() def getChar(self): if self.pos>=self.len: print "TokenFile.EndOfFile" raise TokenFile.EndOfFile() return self.string[self.pos] def readLine(self): try: lineend_pos= self.string.index("\n",self.pos) except ValueError: lineend_pos = self.len prev_pos,self.pos = self.pos, lineend_pos+1 return self.string[prev_pos:lineend_pos] def isWhitespace(self): return False if self.pos>=self.len else self.isWhiteSpaceChar(self.string[self.pos]) def nextChar(self,step=1): #print(self.string[self.pos:self.pos+step]) self.pos = self.pos+step def readChars(self,size=1): string=self.string[self.pos:self.pos+size] self.pos = self.pos+step def readNumber(self): self.skip_whitespaces() string_number="" while self.pos<self.len: c=self.getChar() if c in "0123456789": string_number+=c self.nextChar() else: return int(string_number) def readToken(self): string="" while not self.isWhitespace() and self.pos<self.len: string += self.getChar() self.nextChar() #print string return string def expectString(self,string): if self.string[self.pos:self.pos+len(string)]!=string: raise Exception("file syntax error") self.nextChar(len(string)) def acceptString(self,string): if self.string[self.pos:self.pos+len(string)]==string: self.nextChar(len(string)) return True return False def isString(self,string,case_sensitive=True): return self.string[self.pos:self.pos+len(string)]==string if case_sensitive else self.string[self.pos:self.pos+len(string)].lower()==string.lower() class Step: def __init__(self,type,to_x,to_y,from_x=None,from_y=None,capture=None): pass #color: "w"/"b" def readStep(input_file,color): #read step notation type='P' input_file.skip_whitespaces() #read notation string - until next whitespace capture = False dis_file=None dis_rank=None trg_file=None trg_rank=None promotion_type=None king_castling=False; queen_castling=False; token = input_file.readToken() #capture - not interesting if 'x' in token or ":" in token : capture = True token=token.replace("x","") token=token.replace(":","") #check or checkmate - not interesting if '+' in token or "#" in token: token=token.replace("+","") token=token.replace("#","") if '=' in token : print token[-2:-1],token[-1:] assert token[-2:-1]=="=" promotion_type = token[-1:] token=token[:-2] if token == "O-O": king_castling=True; type='K' elif token == "O-O-O": queen_castling=True; type='K' else: #normal move if token[-4:]=="e.p.": #en passage - not supported yet raise Exception("en passage - not supported yet") #last 2 chars: target file, rank trg_file=token[-2] trg_rank=token[-1] token=token[:-2] #cut target field #first char: type (or omitted if pawn) if len(token)>0: c1=token[0] if c1 in "QKNBR": #other move type=c1 token = token[1:] #cut piece identification #remaining chars: disambiguation if len(token)==1: if token[0] in string.digits: dis_rank=token[0] elif token[0] in string.ascii_lowercase: dis_file=token[0] elif len(token)==2: dis_file=token[0] dis_rank=token[1] elif len(token)!=0: raise Exception("token error") if queen_castling: trg_file = "c" trg_rank == 0 if color == "w" else 7 elif king_castling: trg_file = "g" trg_rank == 0 if color =="w" else 7 # print type,trg_file,trg_rank,dis_file,dis_rank,capture # transform a..h,1..8 to 0..7,0..7 files = ["a","b","c","d","e","f","g","h"] if trg_file != None:trg_file=files.index(trg_file) if trg_rank != None:trg_rank = int(trg_rank)-1 if dis_file!=None:dis_file=files.index(dis_file) if dis_rank!=None:dis_rank = int(dis_rank)-1 if capture == None:capture = False if queen_castling or king_castling: move = Castling(Piece(color,type), trg_file, trg_rank) else: move = Move(Piece(color,type), trg_file, trg_rank, capture) move.from_x = dis_file move.from_y = dis_rank if promotion_type!=None: assert promotion_type in "QNBR" move.promotion=Piece(color,promotion_type) return move class PGNFile: class End: def __init__(self): pass def __init__(self, filename): self.input_file = TokenFile(filename) def TestEnd(self): self.input_file.skip_whitespaces() if self.input_file.acceptString("1-0"): return "w" if self.input_file.acceptString("0-1"): return "b" if self.input_file.acceptString("1/2-1/2"): return "d" return None def ReadGame(self): try: step_ex=0 moves = [] self.input_file.skip_whitespaces() #skip tags while self.input_file.getChar()=="[": print self.input_file.readLine() self.input_file.skip_whitespaces() while True: #read step if self.TestEnd()!=None:break step=self.input_file.readNumber() if step==None: break step_ex = step_ex+1 if step!=step_ex: raise Exception("file step mismatch @ step"+step_ex+1) #read . (dot) self.input_file.expectString(".") #print str(step_ex),":", moves.append(readStep(self.input_file,"w")) #print moves[-1].toString(), if self.TestEnd()!=None:break moves.append(readStep(self.input_file,"b")) #print moves[-1].toString(), except TokenFile.EndOfFile: print "PGNFile.End" raise PGNFile.End() pass print "read",step_ex,"steps" return moves #test: collect all valid moves def MakeCode(game_steps): #generate code sum_bits=0 n=Decimal(0) for (range,index) in reversed(game_steps): assert range>index n=n*range n=n+index sum_bits = sum_bits + math.log(range,2) #print as binary print "code=",n bits="" ctx = getcontext() assert ctx.prec > len(n.as_tuple().digits) + 2 while n>0: if n % Decimal(2)==1: bits="1"+bits n = n - 1 else: bits="0"+bits n = n / 2 print "bits=",len(bits),"theoretical=",sum_bits,"avg bit/move",float(len(bits))/len(game_steps) return bits def CheckKingCaptureMovesAfterMove(x_from,y_from,move,color): global table,LastMove #print move.toString() has_checking = False saved_table=copy.deepcopy(table) saved_LastMove=copy.deepcopy(LastMove) DoMove(x_from,y_from,move) #find pieces on table for y in range(0,8): for x in range(0,8): if table[x][y]!=None and table[x][y].Color == color: for pmove in GeneralMove(x,y): #print " ",pmove.toString() has_checking |= pmove.isKingCapture() table=saved_table LastMove=saved_LastMove return has_checking def LogError(game,file_name,log_string,step,possible_moves,matching_moves,player_move): PrintTable() print "Possible moves:",len(possible_moves) for [x,y,pmove] in possible_moves:print pmove.toString(), print print "Matching nonchecking moves:" for [x,y,pmove] in matching_moves:print pmove.toString(), print logfile=open(file_name+"."+str(game)+".tbl","w") logfile.write(log_string) logfile.close() raise Exception("Bad move in step",step/2,player_move.toString()) def ProcessPGN(file_name): pgn_file = PGNFile(file_name) game = 1 while True: game_desc=[] # list of tuples(number of possible steps, players step index in possible step list) log_string="" try: moves = pgn_file.ReadGame() except PGNFile.End: break print "GAME ",game, SetupTable() PrintTable() log_string+=LogTable(0) #for each move: look for possible moves, make the move side = True #True:white False:black continous = True verbose = False step=0 for move in moves: log_string+=move.toString() log_string+="\n" step = step + 1 color = "w" if side else "b" piece = move.piece possible_moves = [] #find pieces on table for y in range(0,8): for x in range(0,8): if table[x][y]!=None and table[x][y].Color == color: for pmove in GeneralMove(x,y): possible_moves.append([x,y,pmove]) if verbose:print "step",step,"players move: ",move.toString(),"possible moves",len(possible_moves) matching_moves=[] for [x,y,pmove] in possible_moves: if move.Match(pmove) and (move.from_x==None or move.from_x==x) and (move.from_y==None or move.from_y==y): if verbose:print "found move",pmove.piece.toString()+'abcdefgh'[x]+str(y+1),pmove.toString() matching_moves.append([x,y,pmove]) matching_move = None # print "Number of matching moves:",len(matching_moves) if len(matching_moves) > 1: #see if some moves will put the King in a checking position. Find the one that wont nochecking_moves=[] for [x,y,pmove] in matching_moves: kingcapture = CheckKingCaptureMovesAfterMove(x,y,pmove,"b" if side else "w") #print kingcapture if not kingcapture: nochecking_moves.append([x,y,pmove]) #print "No-checking moves:",len(nochecking_moves) if len(nochecking_moves) != 1: LogError(game,file_name,log_string,step,possible_moves,nochecking_moves,move) else: matching_move=nochecking_moves[0] elif len(matching_moves) == 1: matching_move=matching_moves[0] else: LogError(game,file_name,log_string,step,possible_moves,matching_moves,move) DoMove(matching_move[0],matching_move[1],matching_move[2]) if False and verbose: PrintTable() game_desc.append((len(possible_moves),possible_moves.index(matching_move))) log_string+=LogTable(step) try: if not continous: cont = raw_input("Continue? ") if cont=="n":break if cont== "a": continous = True except: pass side = not side #all moves processed if verbose: PrintTable() logfile=open(file_name+"."+str(game)+".tbl","w") logfile.write(log_string) logfile.close() print game_desc binary = MakeCode(game_desc) bin_file=open(file_name+"."+str(game)+".bin","w") bin_file.write(binary) bin_file.close() print binary game = game + 1 #all games processed def ProcessBIN(file_name): binary_str=TokenFile(file_name).readLine() pos_value = Decimal(1) value = Decimal(0) for pos in range(len(binary_str)-1,-1,-1): value += pos_value if binary_str[pos]=="1" else Decimal(0) pos_value *= Decimal(2) SetupTable(); game_desc = [] print "code=",value log_string="" step = 0 log_string+=LogTable(step); color ="b" while value != 0: color = "w" if color =="b" else "b" possible_moves = [] #find pieces on table for y in range(0,8): for x in range(0,8): if table[x][y]!=None and table[x][y].Color == color: for pmove in GeneralMove(x,y): possible_moves.append([x,y,pmove]) step_range = len(possible_moves) index = value % step_range game_desc.append((int(step_range),int(index))) value -= index value = value / step_range int_index = int(index) assert Decimal(int_index) == index DoMove(possible_moves[int_index][0],possible_moves[int_index][1],possible_moves[int_index][2]) step += 1 log_string+=LogTable(step); print game_desc game = 1 logfile=open(file_name+"."+str(game)+".tbl","w") logfile.write(log_string) logfile.close() if False: test_moves=[] test_moves+=GeneralMove(4,0) test_moves+=GeneralMove(4,7) for move in test_moves:print move.toString(), print DoMove(4,0,test_moves[1]) PrintTable() setcontext(Context(prec=300)) filename = sys.argv[1].strip().replace("\\","/") if filename[-4:]==".pgn": ProcessPGN(filename) elif sys.argv[1][-4:]==".bin": ProcessBIN(filename)

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Lectures/UAV_control/message_types/msg_map.py

donnel2-cooper/drone_control

0

182597

""" msg_map - messages type for map of the world part of mavsim_python - Beard & McLain, PUP, 2012 - Last update: 4/10/2019 - RWB """ import numpy as np import parameters.planner_parameters as PLAN class msgMap: def __init__(self): # flag to indicate if the map has changed self.flag_map_changed = 0 # the city is of size (width)x(width) self.city_width = PLAN.city_width # number of blocks in city self.num_city_blocks = PLAN.num_blocks # percent of block that is street. self.street_width = PLAN.city_width / PLAN.num_blocks * PLAN.street_width # maximum height of buildings self.building_max_height = PLAN.building_height # an array of building heights self.building_height = PLAN.building_height * np.random.rand(PLAN.num_blocks, PLAN.num_blocks) # the width of the buildings (all the same) self.building_width = PLAN.city_width / PLAN.num_blocks * (1 - PLAN.street_width) # north coordinate of center of buildings self.building_north = np.zeros((1,PLAN.num_blocks)) for i in range(PLAN.num_blocks): self.building_north[0, i] = 0.5 * (PLAN.city_width / PLAN.num_blocks) * (2 * i + 1) # east coordinate of center of buildings self.building_east = np.copy(self.building_north)

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blog/services/main.py

JohannSuarez/fastapi_backend

0

90921

''' Services are defined in the services package. Each service is a subclass of AppService. The database session is passed down from the request dependency via an "interface-like" mixin utility class (other mixin classes may be added via multiple inheritance in order to extend available attributes) ''' from sqlalchemy.orm import Session class DBSessionMixin: def __init__(self, db: Session): self.db = db class AppService(DBSessionMixin): pass class AppCRUD(DBSessionMixin): pass

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poezio/poezio.py

David96/poezio_lima-gold

0

147598

# Copyright 2010-2011 <NAME> <<EMAIL>> # # This file is part of Poezio. # # Poezio is free software: you can redistribute it and/or modify # it under the terms of the zlib license. See the COPYING file. """ Starting point of poezio. Launches both the Connection and Gui """ import sys import os import signal import logging sys.path.append(os.path.dirname(os.path.abspath(__file__))) def test_curses(): """ Check if the system ncurses linked with python has unicode capabilities. """ import curses if hasattr(curses, 'unget_wch'): return True print("""\ ERROR: The current python executable is linked with a ncurses version that \ has no unicode capabilities. This could mean that: - python was built on a system where readline is linked against \ libncurses and not libncursesw - python was built without ncursesw headers available Please file a bug for your distribution or fix that on your system and then \ recompile python. Poezio is currently unable to read your input or draw its interface properly,\ so it will now exit.""") return False def main(): """ Entry point. """ sys.stdout.write("\x1b]0;poezio\x07") sys.stdout.flush() from poezio import config config_path = config.check_create_config_dir() config.run_cmdline_args(config_path) config.create_global_config() config.check_create_log_dir() config.check_create_cache_dir() config.setup_logging() config.post_logging_setup() from poezio.config import options if options.check_config: config.check_config() sys.exit(0) from poezio import theming theming.update_themes_dir() from poezio import logger logger.create_logger() from poezio import roster roster.create_roster() from poezio import core log = logging.getLogger('') signal.signal(signal.SIGINT, signal.SIG_IGN) # ignore ctrl-c cocore = core.Core() signal.signal(signal.SIGUSR1, cocore.sigusr_handler) # reload the config signal.signal(signal.SIGHUP, cocore.exit_from_signal) signal.signal(signal.SIGTERM, cocore.exit_from_signal) if options.debug: cocore.debug = True cocore.start() from slixmpp.exceptions import IqError, IqTimeout def swallow_iqerrors(loop, context): """Do not log unhandled iq errors and timeouts""" if not isinstance(context['exception'], (IqError, IqTimeout)): loop.default_exception_handler(context) # Warning: asyncio must always be imported after the config. Otherwise # the asyncio logger will not follow our configuration and won't write # the tracebacks in the correct file, etc import asyncio loop = asyncio.get_event_loop() loop.set_exception_handler(swallow_iqerrors) loop.add_reader(sys.stdin, cocore.on_input_readable) loop.add_signal_handler(signal.SIGWINCH, cocore.sigwinch_handler) cocore.xmpp.start() loop.run_forever() # We reach this point only when loop.stop() is called try: cocore.reset_curses() except: pass

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config.py

DeflatedPickle/1984-chan

1

135112

import json from json import JSONDecodeError import simplejson def read_id(): with open("token.txt") as f: return f.readline().strip() def read_config(): with open("config.json", 'r+') as f: try: pre = json.load(f) except JSONDecodeError: write_config({}) pre = json.loads('{}') return dict([(int(k), v) for k, v in pre.items()]) def write_config(config): with open("config.json", 'w+') as f: f.write(simplejson.dumps(config, indent=4, sort_keys=True))

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scripts/generate_specializations.py

cxwx/VecGeom

1

162865

<filename>scripts/generate_specializations.py # Script to generate translation and rotation specializations of placed volumes, rotation = [0x1B1, 0x18E, 0x076, 0x16A, 0x155, 0x0AD, 0x0DC, 0x0E3, 0x11B, 0x0A1, 0x10A, 0x046, 0x062, 0x054, 0x111, 0x200] translation = ["translation::kGeneric", "translation::kIdentity"] header_string = """\ /// @file TransformationSpecializations.icc /// @author Script generated. #ifndef VECGEOM_NO_SPECIALIZATION """ specialization_string = """\ if (trans_code == {:s} && rot_code == {:#05x}) {{ return VolumeType::template Create<{:s}, {:#05x}>( logical_volume, transformation, #ifdef VECCORE_CUDA id, copy_no, child_id, #endif placement); }} """ generic_string = """\ #endif // No specialization return VolumeType::template Create<translation::kGeneric, rotation::kGeneric>( logical_volume, transformation, #ifdef VECCORE_CUDA id, copy_no, child_id, #endif placement);\ """ output_file = open("../VecGeom/management/TransformationSpecializations.icc", "w") output_file.write(header_string) for r in rotation: for t in translation: output_file.write(specialization_string.format(t, r, t, r)) output_file.write(generic_string) output_file.close()

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alipay/aop/api/domain/ReduceInfo.py

snowxmas/alipay-sdk-python-all

213

33975

<gh_stars>100-1000 #!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.constant.ParamConstants import * class ReduceInfo(object): def __init__(self): self._brand_name = None self._consume_amt = None self._consume_store_name = None self._payment_time = None self._promo_amt = None self._user_name = None @property def brand_name(self): return self._brand_name @brand_name.setter def brand_name(self, value): self._brand_name = value @property def consume_amt(self): return self._consume_amt @consume_amt.setter def consume_amt(self, value): self._consume_amt = value @property def consume_store_name(self): return self._consume_store_name @consume_store_name.setter def consume_store_name(self, value): self._consume_store_name = value @property def payment_time(self): return self._payment_time @payment_time.setter def payment_time(self, value): self._payment_time = value @property def promo_amt(self): return self._promo_amt @promo_amt.setter def promo_amt(self, value): self._promo_amt = value @property def user_name(self): return self._user_name @user_name.setter def user_name(self, value): self._user_name = value def to_alipay_dict(self): params = dict() if self.brand_name: if hasattr(self.brand_name, 'to_alipay_dict'): params['brand_name'] = self.brand_name.to_alipay_dict() else: params['brand_name'] = self.brand_name if self.consume_amt: if hasattr(self.consume_amt, 'to_alipay_dict'): params['consume_amt'] = self.consume_amt.to_alipay_dict() else: params['consume_amt'] = self.consume_amt if self.consume_store_name: if hasattr(self.consume_store_name, 'to_alipay_dict'): params['consume_store_name'] = self.consume_store_name.to_alipay_dict() else: params['consume_store_name'] = self.consume_store_name if self.payment_time: if hasattr(self.payment_time, 'to_alipay_dict'): params['payment_time'] = self.payment_time.to_alipay_dict() else: params['payment_time'] = self.payment_time if self.promo_amt: if hasattr(self.promo_amt, 'to_alipay_dict'): params['promo_amt'] = self.promo_amt.to_alipay_dict() else: params['promo_amt'] = self.promo_amt if self.user_name: if hasattr(self.user_name, 'to_alipay_dict'): params['user_name'] = self.user_name.to_alipay_dict() else: params['user_name'] = self.user_name return params @staticmethod def from_alipay_dict(d): if not d: return None o = ReduceInfo() if 'brand_name' in d: o.brand_name = d['brand_name'] if 'consume_amt' in d: o.consume_amt = d['consume_amt'] if 'consume_store_name' in d: o.consume_store_name = d['consume_store_name'] if 'payment_time' in d: o.payment_time = d['payment_time'] if 'promo_amt' in d: o.promo_amt = d['promo_amt'] if 'user_name' in d: o.user_name = d['user_name'] return o

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pyning/tail_recursion/fibonacci_test.py

rkoyanagui/pyning

0

39189

<gh_stars>0 import unittest from pyning.tail_recursion.fibonacci import naive_fib from pyning.utils.testutils import BaseTest class FibonacciTailRecursionTest(BaseTest): def test_zero(self): self.check(f=naive_fib, xr=0, n=0) def test_one(self): self.check(f=naive_fib, xr=1, n=1) def test_two(self): self.check(f=naive_fib, xr=1, n=2) def test_three(self): self.check(f=naive_fib, xr=2, n=3) def test_four(self): self.check(f=naive_fib, xr=3, n=4) def test_five(self): self.check(f=naive_fib, xr=5, n=5) def test_six(self): self.check(f=naive_fib, xr=8, n=6) if __name__ == '__main__': unittest.main()

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python/tests/test_auxdata.py

clayne/gtirb

230

123523

<gh_stars>100-1000 import unittest from unittest import mock import gtirb class AuxDataTest(unittest.TestCase): def setUp(self): self.fake_ir = mock.MagicMock() self.fake_ir.get_by_uuid = None def test_lazy(self): ad1 = gtirb.AuxData("test1", "string") self.assertEqual(ad1.data, "test1") serialized = ad1._to_protobuf() ad2 = gtirb.AuxData._from_protobuf(serialized, self.fake_ir) # Peek inside: the data is not yet deserialized self.assertTrue(ad2._data is None) # Accessing the data should deserialize self.assertEqual(ad1.data, ad2.data) self.assertTrue(ad2._data is not None) # Just exercise repr self.assertEqual( repr(ad2), "AuxData(type_name='string', data='test1', )" ) def test_lazy_never_deserialized(self): serialized = gtirb.AuxData("testing 123", "string")._to_protobuf() ad1 = gtirb.AuxData._from_protobuf(serialized, self.fake_ir) # Peek inside: the data is not yet deserialized self.assertTrue(ad1._data is None) serialized2 = ad1._to_protobuf() self.assertTrue(ad1._data is None) self.assertEqual(serialized, serialized2) if __name__ == "__main__": unittest.main()

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tool/pypoc/kubecfg/commands/jsonnet.py

ant31/kubecfg

0

147767

import os import json from kubecfg.render_jsonnet import RenderJsonnet from kubecfg.commands.command_base import CommandBase, LoadVariables class JsonnetCmd(CommandBase): name = 'jsonnet' help_message = "Resolve a jsonnet file with the kubecfgstd available" def __init__(self, options): super(JsonnetCmd, self).__init__(options) self.namespace = options.namespace self.variables = options.variables if isinstance(options.filepath, list): self.filepath = options.filepath[0] else: self.filepath = options.filepath self.result = None self.action = "package" @classmethod def _add_arguments(cls, parser): parser.add_argument("--namespace", help="kubernetes namespace", default='default') parser.add_argument("-x", "--variables", help="variables", default={}, action=LoadVariables) parser.add_argument('filepath', nargs=1, help="jsonnet file to render") def _call(self): r = RenderJsonnet(manifestpath=self.filepath) if os.path.basename(self.filepath) == "manifest.jsonnet": namespace = self.namespace self.variables['namespace'] = namespace tla_codes = {"params": json.dumps({"variables": self.variables, "action": self.action})} else: tla_codes = self.variables p = open(self.filepath).read() self.result = r.render_jsonnet(p, tla_codes=tla_codes) def _render_dict(self): return self.result def _render_console(self): return json.dumps(self._render_dict(), indent=2, separators=(',', ': '))

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tests/test_connections.py

iparaskev/py_connect

5

29380

<filename>tests/test_connections.py """test_connections.py""" import unittest import os from py_connect import ConnectionsHandler from py_connect import Board, Peripheral, SensorTypes cons_path = \ "/".join(os.path.abspath(__file__).split("/")[:-2]) + "/test_connections/" class TestConnection(unittest.TestCase): def test_gpio_connection(self): connections = ConnectionsHandler(cons_path + "debug_connection.cd") gpio_con = connections.connections["rpi_sonar"] gpio_con_2 = connections.connections["rpi_sonar_2"] # Good connection # Just check args self.assertEqual(gpio_con.name, "rpi_sonar", "Wrong connection name.") self.assertIsInstance(gpio_con.board, Board, "Should be board.") self.assertIsInstance(gpio_con.peripheral, Peripheral, "Should be peripheral.") self.assertEqual(gpio_con.board.name, "rpi_3b_plus", "Should be rpi_3b_plus") self.assertEqual(gpio_con.peripheral.name, "hc_sr04", "Should be hc_sr04") # Check right power connections. self.assertEqual(gpio_con.power_connections[0].pin_1, self.target(gpio_con.board.pins, "gnd_1"), "Should be gnd_1.") self.assertEqual(gpio_con.power_connections[0].pin_2, self.target(gpio_con.peripheral.pins, "gnd"), "Should be gnd.") self.assertEqual(gpio_con.power_connections[1].pin_1, self.target(gpio_con.board.pins, "power_5v_1"), "Should be power_5v_1.") self.assertEqual(gpio_con.power_connections[1].pin_2, self.target(gpio_con.peripheral.pins, "vcc"), "Should be vcc.") # Check right hw_connections self.assertEqual(gpio_con.hw_connections[0].hwint_1, self.target(gpio_con.board.hw_interfaces, "bcm_7"), "Should be bcm_23") self.assertEqual(gpio_con.hw_connections[0].hwint_2, self.target(gpio_con.peripheral.hw_interfaces, "echo"), "Should be echo") self.assertEqual(gpio_con.hw_connections[1].hwint_1, self.target(gpio_con.board.hw_interfaces, "bcm_24"), "Should be bcm_24") self.assertEqual(gpio_con.hw_connections[1].hwint_2, self.target(gpio_con.peripheral.hw_interfaces, "trigger"), "Should be trigger.") # Different objects of same device self.assertNotEqual(gpio_con.peripheral, gpio_con_2.peripheral, "Should be different.") def target(self, ls, name): for p in ls: if p.name == name: return p def test_i2c(self): connections = ConnectionsHandler(cons_path + "debug_connection.cd") i2c_con = connections.connections["rpi_bme680"] self.assertEqual(i2c_con.hw_connections[0].hwint_1, self.target(i2c_con.board.hw_interfaces, "i2c_1"), "Should be i2c_1 of rpi.") self.assertEqual(i2c_con.hw_connections[0].hwint_2, self.target(i2c_con.peripheral.hw_interfaces, "i2c_0"), "Should be i2c_0 of bme.") self.assertEqual(i2c_con.hw_connections[0].slave_address, int(0x77), "Should be 0x77.") def test_spi(self): connections = ConnectionsHandler(cons_path + "debug_connection.cd") spi_con = connections.connections["rpi_icm"] self.assertEqual(spi_con.hw_connections[0].hwint_1, self.target(spi_con.board.hw_interfaces, "spi_0"), "Should be spi_0 of rpi.") self.assertEqual(spi_con.hw_connections[0].hwint_2, self.target(spi_con.peripheral.hw_interfaces, "spi_0"), "Should be spi_0 of bme.") ce_index = spi_con.hw_connections[0].ce_index ce_pin = spi_con.hw_connections[0].hwint_1.ce[ce_index] self.assertEqual(ce_pin.name, "bcm_8", "Should be bcm_8.") def test_comm_endpoint(self): connections = ConnectionsHandler(cons_path + "debug_connection.cd") con = connections.connections["rpi_sonar"] # Simple communication checks self.assertEqual(con.com_endpoint.topic_name, "sonar_1.distance") self.assertEqual(con.com_endpoint.conn_params.username, "testuser", "Should be testuser.") self.assertEqual(con.com_endpoint.conn_params.password, "testuser", "Should be <PASSWORD>user.") self.assertEqual(con.com_endpoint.conn_params.host, "r4a-platform.ddns.net", "Should be ...") self.assertEqual(con.com_endpoint.conn_params.port, 5782, "Should be 5782") self.assertEqual(con.com_endpoint.msg.msg_entries[0].type, SensorTypes.DISTANCE) self.assertEqual(con.com_endpoint.msg.msg_entries[0].frequency, 10) con = connections.connections["rpi_bme680"] self.assertEqual(con.com_endpoint.msg.msg_entries[0].type, SensorTypes.ENV) #self.assertEqual(con.com_endpoint.msg.msg_entries[1].type, # SensorTypes.HUMIDITY) #self.assertEqual(con.com_endpoint.msg.msg_entries[2].type, # SensorTypes.GAS) if __name__ == "__main__": unittest.main()

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tests/v1/test_logs_status_remapper.py

MichaelTROEHLER/datadog-api-client-python

0

143221

<reponame>MichaelTROEHLER/datadog-api-client-python # coding: utf-8 # Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License. # This product includes software developed at Datadog (https://www.datadoghq.com/). # Copyright 2019-Present Datadog, Inc. from __future__ import absolute_import import sys import unittest import datadog_api_client.v1 try: from datadog_api_client.v1.model import logs_status_remapper_type except ImportError: logs_status_remapper_type = sys.modules[ 'datadog_api_client.v1.model.logs_status_remapper_type'] from datadog_api_client.v1.model.logs_status_remapper import LogsStatusRemapper class TestLogsStatusRemapper(unittest.TestCase): """LogsStatusRemapper unit test stubs""" def setUp(self): pass def tearDown(self): pass def testLogsStatusRemapper(self): """Test LogsStatusRemapper""" # FIXME: construct object with mandatory attributes with example values # model = LogsStatusRemapper() # noqa: E501 pass if __name__ == '__main__': unittest.main()

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yatube/posts/migrations/0011_auto_20220127_2115.py

Andr3w-k/yatube_final

0

183154

<reponame>Andr3w-k/yatube_final # Generated by Django 2.2.16 on 2022-01-27 21:15 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('posts', '0010_follow'), ] operations = [ migrations.AlterModelOptions( name='comment', options={'ordering': ('-created',), 'verbose_name': 'Комментарий', 'verbose_name_plural': 'Комментарии'}, ), migrations.AlterModelOptions( name='follow', options={'verbose_name': 'Подписка', 'verbose_name_plural': 'Подписки'}, ), migrations.AlterModelOptions( name='group', options={'verbose_name': 'Группа', 'verbose_name_plural': 'Группы'}, ), migrations.AlterField( model_name='comment', name='post', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='comments', to='posts.Post', verbose_name='Пост'), ), migrations.AddConstraint( model_name='follow', constraint=models.UniqueConstraint(fields=('user', 'author'), name='unique subscription'), ), ]

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Session_01/koch.py

UP-RS-ESP/GEW-DAP05-2018

2

13614

<gh_stars>1-10 import sys import numpy as np from matplotlib import pyplot as pl def koch(x0, y0, rho, phi, order): global xr, yr x1, y1 = x0 + rho * np.cos(phi), y0 + rho * np.sin(phi) if order: x, y = x0, y0 for angle in [0, np.pi/3, 5*np.pi/3, 0]: x, y = koch(x, y, rho / 3.0, phi + angle, order - 1) else: xr.append(x1) yr.append(y1) return (x1, y1) xr = [1,] yr = [1,] koch(xr[0], yr[0], 1, 0, 5) pl.plot(xr, yr, 'r.-', lw = 0.5) ax = pl.gca() ax.set_aspect('equal') pl.grid() pl.show()

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Codes/Liam/001_two_sum.py

liuxiaohui1221/algorithm

256

28809

<reponame>liuxiaohui1221/algorithm # 执行用时 : 348 ms # 内存消耗 : 13 MB # 方案：哈希表 class Solution(object): def twoSum(self, nums, target): """ :type nums: List[int] :type target: int :rtype: List[int] """ # 创建哈希表{value:idx} record = {} # 遍数组 for idx, value in enumerate(nums): # 如果差值在哈希表中,返回对应索引以及循环中本次idx # 如果差值不在，则在哈希表中插入该value:idx if (target - value) in record.keys(): return [record[target - value], idx] else: record[value] = idx

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pysan/multi/attributes.py

pysan-dev/pysan

4

147695

<gh_stars>1-10 # AUTOGENERATED! DO NOT EDIT! File to edit: 21_multi_attributes.ipynb (unless otherwise specified). __all__ = ['are_recurrent', 'get_summary_statistic', 'get_routine_scores', 'get_synchrony', 'get_sequence_frequencies'] # Cell def are_recurrent(sequences): "Returns true if any of the sequences in a given collection are recurrant, false otherwise." for sequence in sequences: if pysan_core.is_recurrent(sequence): return True return False # Cell def get_summary_statistic(sequence, function): "Computes a summary statistic (e.g. entropy, complexity, or turbulence) for each sequence in a collection, returning the results as a list." pass # Cell def get_routine_scores(sequences, duration): "Returns a list containing the routine scores for each sequence in a collection using :meth:`get_routine() <pysan.core.get_routine>`." pass # Cell def get_synchrony(sequences): "Computes the normalised synchrony between a two or more sequences. Synchrony here refers to positions with identical elements, e.g. two identical sequences have a synchrony of 1, two completely different sequences have a synchrony of 0. The value is normalised by dividing by the number of positions compared. This computation is defined in Cornwell's 2015 book on social sequence analysis, page 230." shortest_sequence = min([len(s) for s in sequences]) same_elements = [] for position in range(shortest_sequence): elements_at_this_position = [] for sequence in sequences: elements_at_this_position.append(sequence[position]) same_elements.append(elements_at_this_position.count(elements_at_this_position[0]) == len(elements_at_this_position)) return same_elements.count(True) / shortest_sequence # Cell def get_sequence_frequencies(sequences): "Computes the frequencies of different sequences in a collection, returning a dictionary of their string representations and counts." # converting to strings makes comparison easy sequences_as_strings = [str(s) for s in sequences] sequence_frequencies = {} for sequence in set(sequences_as_strings): sequence_frequencies[sequence] = sequences_as_strings.count(sequence) sequence_frequencies = {k: v for k, v in sorted(sequence_frequencies.items(), key=lambda item: item[1], reverse=True)} return sequence_frequencies

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tirelire-account/app/views/__init__.py

AgRenaud/tirelire

0

172999

from app.views import account from app.views import holder

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clip_finder_camera.py

leventerevesz/tomato-clips

0

74868

<reponame>leventerevesz/tomato-clips import cv2 as cv import numpy as np import matplotlib.pyplot as plt def clip_finder_camera(): cap = cv.VideoCapture(1) i=0 while True: # Read the camera in color mode. _, img = cap.read() #img = cv.imread('images/tomato1.jpg', cv.IMREAD_COLOR) blur = cv.GaussianBlur(img,(7,7),0) # blur for filtering out little blue pixels # Get image width and height width, height, channels = img.shape hsv_img = cv.cvtColor(blur, cv.COLOR_BGR2HSV) # HSV to segment # Segment blue regions lower_bound = (40, 40, 30) # Hue is between 50 and 110 upper_bound = (105, 255, 255) rgb_lower_bound = (0, 0, 0) # RGB limits rgb_upper_bound = (30, 255, 255) mask_rgb = cv.inRange(blur, rgb_lower_bound, rgb_upper_bound) mask_hsv = cv.inRange(hsv_img, lower_bound, upper_bound) result_rgb = cv.bitwise_and(img, img, mask=mask_rgb) result_hsv = cv.bitwise_and(hsv_img, hsv_img, mask=mask_hsv) reversemask=255-mask_hsv rmask=reversemask # Dilate (white ^) and Erode (black ^) dkernel = np.ones((3,3),np.uint8) ekernel = np.ones((5,5),np.uint8) dilate = cv.dilate(reversemask,dkernel,iterations = 1) erosion = cv.erode(dilate,ekernel,iterations = 1) # Contuors with bounding rectangle _, contours, _=cv.findContours(erosion, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE) rectlist=[] mode=2 # 1: perfect contour, 2: straight rectangle, 3: rotated rectangle for cnt in contours: if mode==1: cv.drawContours(erosion, [cnt], 0, (100,100,100), 5) if mode==2: x,y,w,h = cv.boundingRect(cnt) if w > width-20 or h > height-20: continue else: rectlist.append((x,y,w,h)) #cv.rectangle(img,(x,y),(x+w,y+h),(255,0,0),5) if mode==3: rect = cv.minAreaRect(cnt) box = cv.boxPoints(rect) box = np.int0(box) cv.drawContours(img,[box],0,(255,0,0),5) # Filtering out smaller rectangles if len(rectlist) != 0: for i in range (8): avgw=0 avgh=0 maxw=0 maxh=0 for rect in rectlist: # average rectangle size for filtering avgw+=rect[2] avgh+=rect[3] if maxw<rect[2]: maxw=rect[2] if maxh<rect[3]: maxh=rect[3] avgw=avgw/len(rectlist) avgh=avgh/len(rectlist) for rect in rectlist: # filter out too small rectangles w, h = rect[2], rect[3] if w<maxw-avgw or h<maxh-avgh: rectlist.remove(rect) final=[] for i in range(len(rectlist)): #bounding rectangles for every pair of object for j in range(i + 1, len(rectlist)): x1,y1,w1,h1=rectlist[i] x2,y2,w2,h2=rectlist[j] if abs(y1-y2)<avgh*4 and abs(x1-x2)<avgw*2: if x1==x2 and y1==y2: continue else: if x1<x2: x=x1 else: x=x2 if y1<y2: y=y1 else: y=y2 if x1+w1<x2+w2: w=x2+w2-x else: w=x1+w1-x if y1+h1<y2+h2: w=y2+h2-y else: h=y1+h1-y if (x,y,w,h) not in final: final.append((x,y,w,h)) for rect in final: x,y,w,h=rect cv.rectangle(img,(x,y),(x+w,y+h),(0,0,255),3) cv.imshow('rectangles',img) k=cv.waitKey(1) if k==27: break elif k==ord('s'): i+=1 cv.imwrite('results/rect_res_'+str(i)+'.jpg',img) continue cap.release() cv.destroyAllWindows() return 0 if __name__=="__main__": clip_finder_camera()

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make_training_data/fetch_training_data.py

tanhanliang/ml-deviant-subgraph-detection

1

181216

""" This module contains functions to fetch data from the database according to particular rules (e.g. process downloaded a file from the internet, then executed it). Each function corresponds to one rule. """ from data_processing.neo4j_interface_fns import execute_query def get_train_3_node_simple(): """ Gets training data for 3-node patterns. First pattern: process connects to a socket, writes to a file. Second pattern: process connects to a socket, connects to another process. :return: A list of BoltStatementResult objects """ download_file_write = """ MATCH path1=(process:Process)<-[write]-(:File) MATCH path2=(process:Process)<-[]-(:Socket) WHERE (write.state = 'RaW' OR write.state = 'WRITE') RETURN path1, path2 LIMIT 2000 """ proc_proc_soc = """ MATCH p1=(process:Process)<-[]-(sock:Socket) MATCH p2=(process:Process)<-[]-(proc:Process) RETURN p1,p2 LIMIT 2000 """ negative_data = """ MATCH path1=(n1)<-[r1]-(m1) MATCH path2=(n1)<-[r2]-(m2) WHERE m1 <> m2 AND (NOT "File" IN labels(m1) OR NOT "Socket" IN labels(m2)) AND (NOT "Process" IN labels(n1)) AND (r1.state <> 'RaW' AND r1.state <> 'WRITE') RETURN path1, path2 LIMIT 2000 """ return [execute_query(download_file_write), execute_query(proc_proc_soc), execute_query(negative_data)] def get_train_4_node_diff_name(): """ Gets training data where the pattern of nodes in the graph is the same: A process connects to a socket, reads a file and executes another file. The only difference is in the name of the file read. Pattern 1: Name is '/etc/libmap.conf' Pattern 2: Name is '/lib/libc.so.7' Pattern 3: Name is '/lib/libcrypto.so.8' :return: A list of BoltStatementResult objects """ general_pattern = """ MATCH path1=(process:Process)<-[conn]-(sock:Socket) MATCH path2=(process:Process)<-[read]-(file:File) MATCH path3=(process:Process)<-[exec]-(file2:File) WHERE read.state="READ" AND exec.state="BIN" AND file2.name[0] =~ '/usr.*' AND file <> file2 AND file.name[0] = '%s' RETURN path1,path2,path3 LIMIT 1000 """ negative_data = """ MATCH path1=(node1)<-[r1]-(node2) MATCH path2=(node1)<-[r2]-(node3) MATCH path3=(node1)<-[r3]-(node4) WHERE (NOT "Process" in labels(node1) OR NOT "Socket" IN labels(node2) OR NOT "File" IN labels(node3) OR NOT "File" IN labels(node4) OR r2.state <> "READ" OR r3.state <> "BIN" OR NOT node4.name[0] =~ '/usr.*' OR NOT (node3.name[0] = '/etc/libmap.conf' OR node3.name[0] = '/lib/libc.so.7' OR node4.name[0] = '/lib/libcrypto.so.8')) AND node3 <> node4 RETURN path1,path2,path3 LIMIT 1000 """ names = ['/etc/libmap.conf', '/lib/libc.so.7', '/lib/libcrypto.so.8'] results = [] for name in names: results.append(execute_query(general_pattern % name)) results.append(execute_query(negative_data)) return results def get_train_4_node_test_cmdline(): """ Creates training data where the only constant difference between the pattern and the negative data is the presence of the word '-k' somewhere in the cmdline of a particlar node. :return: A list of BoltStatementResults results """ pattern = """ MATCH path1=(node1)<-[]-(node2) MATCH path2=(node1)<-[]-(node3) MATCH path3=(node1)<-[]-(node4) WHERE node2 <> node3 AND node3 <> node4 AND node2 <> node4 AND node1.cmdline =~ '.*-k.*' RETURN path1,path2,path3 LIMIT 1000 """ negative_data = """ MATCH path1=(node1)<-[]-(node2) MATCH path2=(node1)<-[]-(node3) MATCH path3=(node1)<-[]-(node4) WHERE node2 <> node3 AND node3 <> node4 AND node2 <> node4 AND NOT node1.cmdline =~ '.*-k.*' RETURN path1,path2,path3 LIMIT 1000 """ return [execute_query(pattern), execute_query(negative_data)] def get_train_4_node_simple(): """ Queries the db twice for the same simple 4 node pattern. This is used to help me synthesise training data (it is queried twice so the pipeline will partition the data by assigning different labels, so I can edit data in one half of it). :return: A list of BoltStatementResult objects """ pattern = """ MATCH path1=(node1)<-[]-(node2), path2=(node1)<-[]-(node3), path3=(node1)<-[]-(node4) RETURN path1,path2,path3 LIMIT 1000 """ return [execute_query(pattern), execute_query(pattern)] def get_train_6_node_general(): """ Queries the database for a particular 6-node pattern. :return: A list of BoltStatementResult objects. """ pattern = """ MATCH path1=(node1)<-[r1]-(node2), path2=(node1)<-[r2]-(node3), path3=(node1)<-[r3]-(node4), path4=(node3)<-[r4]-(node5), path5=(node3)<-[r5]-(node6) RETURN path1,path2,path3,path4,path5 LIMIT 1000 """ return [execute_query(pattern), execute_query(pattern)] def get_train_8_nodes_general(): pattern = """ MATCH path1=(node1)<-[]-(node2), path2=(node1)<-[]-(node3), path3=(node1)<-[]-(node4), path4=(node3)<-[]-(node5), path5=(node3)<-[]-(node6), path6=(node5)<-[]-(node7), path7=(node6)<-[]-(node8) RETURN path1,path2,path3,path4,path5,path6,path7 LIMIT 1000 """ return [execute_query(pattern), execute_query(pattern)] def get_train_10_nodes_general(): pattern = """ MATCH path1=(node1)<-[]-(node2), path2=(node1)<-[]-(node3), path3=(node1)<-[]-(node4), path4=(node3)<-[]-(node5), path5=(node3)<-[]-(node6), path6=(node5)<-[]-(node7), path7=(node6)<-[]-(node8), path8=(node9)<-[]-(node6), path9=(node10)<-[]-(node9) RETURN path1,path2,path3,path4,path5,path6,path7,path8,path9 LIMIT 1000 """ return [execute_query(pattern), execute_query(pattern)] def get_train_12_nodes_general(): pattern = """ MATCH path1=(node1)<-[]-(node2), path2=(node1)<-[]-(node3), path3=(node1)<-[]-(node4), path4=(node3)<-[]-(node5), path5=(node3)<-[]-(node6), path6=(node5)<-[]-(node7), path7=(node6)<-[]-(node8), path8=(node9)<-[]-(node6), path9=(node10)<-[]-(node9), path10=(node11)<-[]-(node2), path11=(node12)<-[]-(node4) RETURN path1,path2,path3,path4,path5,path6,path7,path8,path9,path10,path11 LIMIT 1000 """ return [execute_query(pattern), execute_query(pattern)] def get_train_16_nodes_general(): pattern = """ MATCH path1=(node1)<-[]-(node2), path2=(node1)<-[]-(node3), path3=(node1)<-[]-(node4), path4=(node3)<-[]-(node5), path5=(node3)<-[]-(node6), path6=(node5)<-[]-(node7), path7=(node6)<-[]-(node8), path8=(node9)<-[]-(node6), path9=(node10)<-[]-(node9), path10=(node6)<-[]-(node11), path11=(node6)<-[]-(node12), path12=(node6)<-[]-(node13), path13=(node6)<-[]-(node14) RETURN path1,path2,path3,path4,path5,path6,path7,path8,path9,path10,path11,path12,path13 LIMIT 1000 """ return [execute_query(pattern), execute_query(pattern)]

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make_prg/io_utils.py

mbhall88/make_prg

10

56475

import logging import re import gzip from pathlib import Path from argparse import ArgumentParser from Bio import AlignIO from make_prg.from_msa import MSA from make_prg.prg_encoder import PrgEncoder, PRG_Ints def load_alignment_file(msa_file: str, alignment_format: str) -> MSA: msa_file = str(msa_file) logging.info("Read from MSA file %s", msa_file) if msa_file.endswith(".gz"): logging.debug("MSA is gzipped") handle = gzip.open(msa_file, "rt") alignment = AlignIO.read(handle, alignment_format) handle.close() else: alignment = AlignIO.read(msa_file, alignment_format) for record in alignment: record.seq = record.seq.upper() return alignment # ************/ # GFA code */ # ***********/ class GFA_Output: """ A simple class for converting a PRG string into a GFA file TODO: Update to GFA2 format """ def __init__(self, gfa_string="", gfa_id=0, gfa_site=5): self.gfa_string = gfa_string self.gfa_id = gfa_id self.gfa_site = gfa_site self.delim_char = " " # This mirrors the AlignedSeq class. def split_on_site(self, prg_string, site_num): site_coords = [ (a.start(), a.end()) for a in list( re.finditer( "%s%d%s" % (self.delim_char, site_num, self.delim_char), prg_string ) ) ] last_pos = None split_strings = [] for (start, end) in site_coords: split_strings.append(prg_string[last_pos:start]) last_pos = end split_strings.append(prg_string[last_pos:]) delim = "%s%d%s" % (self.delim_char, site_num, self.delim_char) check_string = delim.join(split_strings) assert check_string == prg_string, ( "Something has gone wrong with the string split for site %d\nsplit_" "strings: %s" % (site_num, split_strings) ) return split_strings def build_gfa_string(self, prg_string, pre_var_id=None): """Takes prg_string and builds a gfa_string with fragments from the prg_string.""" end_ids = [] # iterate through sites present, updating gfa_string with each in turn while str(self.gfa_site) in prg_string: logging.debug("gfa_site: %d", self.gfa_site) prgs = self.split_on_site(prg_string, self.gfa_site) logging.debug("prgs: %s", prgs) assert len(prgs) == 3, "Invalid prg sequence %s for site %d and id %d" % ( prg_string, self.gfa_site, self.gfa_id, ) # add pre-var site string and links from previous seq fragments if prgs[0] != "": self.gfa_string += "S\t%d\t%s\tRC:i:0\n" % (self.gfa_id, prgs[0]) else: # adds an empty node for empty pre var site seqs self.gfa_string += "S\t%d\t%s\tRC:i:0\n" % (self.gfa_id, "*") pre_var_id = self.gfa_id self.gfa_id += 1 for id in end_ids: self.gfa_string += "L\t%d\t+\t%d\t+\t0M\n" % (id, pre_var_id) end_ids = [] # recursively add segments for each of the variant haplotypes at # this site, saving the end id for each haplotype vars = self.split_on_site(prgs[1], self.gfa_site + 1) assert len(vars) > 1, "Invalid prg sequence %s for site %d and id %d" % ( prg_string, self.gfa_site + 1, self.gfa_id, ) logging.debug("vars: %s", vars) self.gfa_site += 2 logging.debug("gfa_site: %d", self.gfa_site) for var_string in vars: if pre_var_id != None: self.gfa_string += "L\t%d\t+\t%d\t+\t0M\n" % ( pre_var_id, self.gfa_id, ) var_end_ids = self.build_gfa_string( prg_string=var_string, pre_var_id=pre_var_id ) end_ids.extend(var_end_ids) prg_string = prgs[2] pre_var_id = None # finally add the final bit of sequence after variant site if prg_string != "": self.gfa_string += "S\t%d\t%s\tRC:i:0\n" % (self.gfa_id, prg_string) else: self.gfa_string += "S\t%d\t%s\tRC:i:0\n" % (self.gfa_id, "*") for id in end_ids: self.gfa_string += "L\t%d\t+\t%d\t+\t0M\n" % (id, self.gfa_id) end_ids = [] return_id = [self.gfa_id] self.gfa_id += 1 return return_id def write_gfa(outfile, prg_string): """ Writes a gfa file from prg string. """ with open(outfile, "w") as f: # initialize gfa_string, id and site, then update string with the prg gfa_string = "H\tVN:Z:1.0\tbn:Z:--linear --singlearr\n" gfa_id = 0 gfa_site = 5 gfa_obj = GFA_Output(gfa_string) gfa_obj.build_gfa_string(prg_string=prg_string) f.write(gfa_obj.gfa_string) # ******************/ # Write PRG code */ # *****************/ def write_prg(prg_fname: Path, prg_string: str, options: ArgumentParser): """ Writes th prg to `output_file`. Writes it as a human readable string, and also as an integer vector """ seqid = options.seqid or options.prg_name if options.output_type.prg: with prg_fname.open("w") as prg: header = f">{seqid} max_nest={options.max_nesting} min_match={options.min_match_length}" print(f"{header}\n{prg_string}", file=prg) if options.output_type.binary: prg_ints_fpath = prg_fname.with_suffix(".bin") prg_encoder = PrgEncoder() prg_ints: PRG_Ints = prg_encoder.encode(prg_string) with prg_ints_fpath.open("wb") as ostream: prg_encoder.write(prg_ints, ostream)

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skbot/ignition/sdformat/bindings/v15/physics.py

FirefoxMetzger/ropy

6

13913

from dataclasses import dataclass, field from typing import Optional __NAMESPACE__ = "sdformat/v1.5/physics.xsd" @dataclass class Physics: """ The physics tag specifies the type and properties of the dynamics engine. Parameters ---------- max_step_size: Maximum time step size at which every system in simulation can interact with the states of the world. (was physics.sdf's dt). real_time_factor: target simulation speedup factor, defined by ratio of simulation time to real-time. real_time_update_rate: Rate at which to update the physics engine (UpdatePhysics calls per real-time second). (was physics.sdf's update_rate). max_contacts: Maximum number of contacts allowed between two entities. This value can be over ridden by a max_contacts element in a collision element. gravity: The gravity vector in m/s^2, expressed in a coordinate frame defined by the spherical_coordinates tag. magnetic_field: The magnetic vector in Tesla, expressed in a coordinate frame defined by the spherical_coordinates tag. simbody: Simbody specific physics properties bullet: Bullet specific physics properties ode: ODE specific physics properties name: The name of this set of physics parameters. default: If true, this physics element is set as the default physics profile for the world. If multiple default physics elements exist, the first element marked as default is chosen. If no default physics element exists, the first physics element is chosen. type: The type of the dynamics engine. Current options are ode, bullet, simbody and rtql8. Defaults to ode if left unspecified. """ class Meta: name = "physics" max_step_size: float = field( default=0.001, metadata={ "type": "Element", "namespace": "", "required": True, }, ) real_time_factor: float = field( default=1.0, metadata={ "type": "Element", "namespace": "", "required": True, }, ) real_time_update_rate: float = field( default=1000.0, metadata={ "type": "Element", "namespace": "", "required": True, }, ) max_contacts: int = field( default=20, metadata={ "type": "Element", "namespace": "", "required": True, }, ) gravity: str = field( default="0 0 -9.8", metadata={ "type": "Element", "namespace": "", "required": True, "pattern": r"(\s*(-|\+)?(\d+(\.\d*)?|\.\d+|\d+\.\d+[eE][-\+]?[0-9]+)\s+){2}((-|\+)?(\d+(\.\d*)?|\.\d+|\d+\.\d+[eE][-\+]?[0-9]+))\s*", }, ) magnetic_field: str = field( default="5.5645e-6 22.8758e-6 -42.3884e-6", metadata={ "type": "Element", "namespace": "", "required": True, "pattern": r"(\s*(-|\+)?(\d+(\.\d*)?|\.\d+|\d+\.\d+[eE][-\+]?[0-9]+)\s+){2}((-|\+)?(\d+(\.\d*)?|\.\d+|\d+\.\d+[eE][-\+]?[0-9]+))\s*", }, ) simbody: Optional["Physics.Simbody"] = field( default=None, metadata={ "type": "Element", "namespace": "", }, ) bullet: Optional["Physics.Bullet"] = field( default=None, metadata={ "type": "Element", "namespace": "", }, ) ode: Optional["Physics.Ode"] = field( default=None, metadata={ "type": "Element", "namespace": "", }, ) name: str = field( default="default_physics", metadata={ "type": "Attribute", }, ) default: bool = field( default=False, metadata={ "type": "Attribute", }, ) type: Optional[str] = field( default=None, metadata={ "type": "Attribute", "required": True, }, ) @dataclass class Simbody: """ Simbody specific physics properties. Parameters ---------- min_step_size: (Currently not used in simbody) The time duration which advances with each iteration of the dynamics engine, this has to be no bigger than max_step_size under physics block. If left unspecified, min_step_size defaults to max_step_size. accuracy: Roughly the relative error of the system. -LOG(accuracy) is roughly the number of significant digits. max_transient_velocity: Tolerable "slip" velocity allowed by the solver when static friction is supposed to hold object in place. contact: Relationship among dissipation, coef. restitution, etc. d = dissipation coefficient (1/velocity) vc = capture velocity (velocity where e=e_max) vp = plastic velocity (smallest v where e=e_min) &gt; vc Assume real COR=1 when v=0. e_min = given minimum COR, at v &gt;= vp (a.k.a. plastic_coef_restitution) d = slope = (1-e_min)/vp OR, e_min = 1 - d*vp e_max = maximum COR = 1-d*vc, reached at v=vc e = 0, v &lt;= vc = 1 - d*v, vc &lt; v &lt; vp = e_min, v &gt;= vp dissipation factor = d*min(v,vp) [compliant] cor = e [rigid] Combining rule e = 0, e1==e2==0 = 2*e1*e2/(e1+e2), otherwise """ min_step_size: float = field( default=0.0001, metadata={ "type": "Element", "namespace": "", "required": True, }, ) accuracy: float = field( default=0.001, metadata={ "type": "Element", "namespace": "", "required": True, }, ) max_transient_velocity: float = field( default=0.01, metadata={ "type": "Element", "namespace": "", "required": True, }, ) contact: Optional["Physics.Simbody.Contact"] = field( default=None, metadata={ "type": "Element", "namespace": "", }, ) @dataclass class Contact: """Relationship among dissipation, coef. restitution, etc. d = dissipation coefficient (1/velocity) vc = capture velocity (velocity where e=e_max) vp = plastic velocity (smallest v where e=e_min) &gt; vc Assume real COR=1 when v=0. e_min = given minimum COR, at v &gt;= vp (a.k.a. plastic_coef_restitution) d = slope = (1-e_min)/vp OR, e_min = 1 - d*vp e_max = maximum COR = 1-d*vc, reached at v=vc e = 0, v &lt;= vc = 1 - d*v, vc &lt; v &lt; vp = e_min, v &gt;= vp dissipation factor = d*min(v,vp) [compliant] cor = e [rigid] Combining rule e = 0, e1==e2==0 = 2*e1*e2/(e1+e2), otherwise Parameters ---------- stiffness: Default contact material stiffness (force/dist or torque/radian). dissipation: dissipation coefficient to be used in compliant contact; if not given it is (1-min_cor)/plastic_impact_velocity plastic_coef_restitution: this is the COR to be used at high velocities for rigid impacts; if not given it is 1 - dissipation*plastic_impact_velocity plastic_impact_velocity: smallest impact velocity at which min COR is reached; set to zero if you want the min COR always to be used static_friction: static friction (mu_s) as described by this plot: http://gazebosim.org/wiki/File:Stribeck_friction.png dynamic_friction: dynamic friction (mu_d) as described by this plot: http://gazebosim.org/wiki/File:Stribeck_friction.png viscous_friction: viscous friction (mu_v) with units of (1/velocity) as described by this plot: http://gazebosim.org/wiki/File:Stribeck_friction.png override_impact_capture_velocity: for rigid impacts only, impact velocity at which COR is set to zero; normally inherited from global default but can be overridden here. Combining rule: use larger velocity override_stiction_transition_velocity: This is the largest slip velocity at which we'll consider a transition to stiction. Normally inherited from a global default setting. For a continuous friction model this is the velocity at which the max static friction force is reached. Combining rule: use larger velocity """ stiffness: float = field( default=100000000.0, metadata={ "type": "Element", "namespace": "", "required": True, }, ) dissipation: float = field( default=100.0, metadata={ "type": "Element", "namespace": "", "required": True, }, ) plastic_coef_restitution: float = field( default=0.5, metadata={ "type": "Element", "namespace": "", "required": True, }, ) plastic_impact_velocity: float = field( default=0.5, metadata={ "type": "Element", "namespace": "", "required": True, }, ) static_friction: float = field( default=0.9, metadata={ "type": "Element", "namespace": "", "required": True, }, ) dynamic_friction: float = field( default=0.9, metadata={ "type": "Element", "namespace": "", "required": True, }, ) viscous_friction: float = field( default=0.0, metadata={ "type": "Element", "namespace": "", "required": True, }, ) override_impact_capture_velocity: float = field( default=0.001, metadata={ "type": "Element", "namespace": "", "required": True, }, ) override_stiction_transition_velocity: float = field( default=0.001, metadata={ "type": "Element", "namespace": "", "required": True, }, ) @dataclass class Bullet: """ Bullet specific physics properties. Parameters ---------- solver: constraints: Bullet constraint parameters. """ solver: Optional["Physics.Bullet.Solver"] = field( default=None, metadata={ "type": "Element", "namespace": "", "required": True, }, ) constraints: Optional["Physics.Bullet.Constraints"] = field( default=None, metadata={ "type": "Element", "namespace": "", "required": True, }, ) @dataclass class Solver: """ Parameters ---------- type: One of the following types: sequential_impulse only. min_step_size: The time duration which advances with each iteration of the dynamics engine, this has to be no bigger than max_step_size under physics block. If left unspecified, min_step_size defaults to max_step_size. iters: Number of iterations for each step. A higher number produces greater accuracy at a performance cost. sor: Set the successive over-relaxation parameter. """ type: str = field( default="sequential_impulse", metadata={ "type": "Element", "namespace": "", "required": True, }, ) min_step_size: float = field( default=0.0001, metadata={ "type": "Element", "namespace": "", "required": True, }, ) iters: int = field( default=50, metadata={ "type": "Element", "namespace": "", "required": True, }, ) sor: float = field( default=1.3, metadata={ "type": "Element", "namespace": "", "required": True, }, ) @dataclass class Constraints: """ Bullet constraint parameters. Parameters ---------- cfm: Constraint force mixing parameter. See the ODE page for more information. erp: Error reduction parameter. See the ODE page for more information. contact_surface_layer: The depth of the surface layer around all geometry objects. Contacts are allowed to sink into the surface layer up to the given depth before coming to rest. The default value is zero. Increasing this to some small value (e.g. 0.001) can help prevent jittering problems due to contacts being repeatedly made and broken. split_impulse: Similar to ODE's max_vel implementation. See http://web.archive.org/web/20120430155635/http://bulletphysics.org/mediawiki-1.5.8/index.php/BtContactSolverInfo#Split_Impulse for more information. split_impulse_penetration_threshold: Similar to ODE's max_vel implementation. See http://web.archive.org/web/20120430155635/http://bulletphysics.org/mediawiki-1.5.8/index.php/BtContactSolverInfo#Split_Impulse for more information. """ cfm: float = field( default=0.0, metadata={ "type": "Element", "namespace": "", "required": True, }, ) erp: float = field( default=0.2, metadata={ "type": "Element", "namespace": "", "required": True, }, ) contact_surface_layer: float = field( default=0.001, metadata={ "type": "Element", "namespace": "", "required": True, }, ) split_impulse: bool = field( default=True, metadata={ "type": "Element", "namespace": "", "required": True, }, ) split_impulse_penetration_threshold: float = field( default=-0.01, metadata={ "type": "Element", "namespace": "", "required": True, }, ) @dataclass class Ode: """ ODE specific physics properties. Parameters ---------- solver: constraints: ODE constraint parameters. """ solver: Optional["Physics.Ode.Solver"] = field( default=None, metadata={ "type": "Element", "namespace": "", "required": True, }, ) constraints: Optional["Physics.Ode.Constraints"] = field( default=None, metadata={ "type": "Element", "namespace": "", "required": True, }, ) @dataclass class Solver: """ Parameters ---------- type: One of the following types: world, quick min_step_size: The time duration which advances with each iteration of the dynamics engine, this has to be no bigger than max_step_size under physics block. If left unspecified, min_step_size defaults to max_step_size. iters: Number of iterations for each step. A higher number produces greater accuracy at a performance cost. precon_iters: Experimental parameter. sor: Set the successive over-relaxation parameter. use_dynamic_moi_rescaling: Flag to enable dynamic rescaling of moment of inertia in constrained directions. See gazebo pull request 1114 for the implementation of this feature. https://osrf- migration.github.io/gazebo-gh-pages/#!/osrf/gazebo/pull- request/1114 """ type: str = field( default="quick", metadata={ "type": "Element", "namespace": "", "required": True, }, ) min_step_size: float = field( default=0.0001, metadata={ "type": "Element", "namespace": "", "required": True, }, ) iters: int = field( default=50, metadata={ "type": "Element", "namespace": "", "required": True, }, ) precon_iters: int = field( default=0, metadata={ "type": "Element", "namespace": "", "required": True, }, ) sor: float = field( default=1.3, metadata={ "type": "Element", "namespace": "", "required": True, }, ) use_dynamic_moi_rescaling: bool = field( default=False, metadata={ "type": "Element", "namespace": "", "required": True, }, ) @dataclass class Constraints: """ ODE constraint parameters. Parameters ---------- cfm: Constraint force mixing parameter. See the ODE page for more information. erp: Error reduction parameter. See the ODE page for more information. contact_max_correcting_vel: The maximum correcting velocities allowed when resolving contacts. contact_surface_layer: The depth of the surface layer around all geometry objects. Contacts are allowed to sink into the surface layer up to the given depth before coming to rest. The default value is zero. Increasing this to some small value (e.g. 0.001) can help prevent jittering problems due to contacts being repeatedly made and broken. """ cfm: float = field( default=0.0, metadata={ "type": "Element", "namespace": "", "required": True, }, ) erp: float = field( default=0.2, metadata={ "type": "Element", "namespace": "", "required": True, }, ) contact_max_correcting_vel: float = field( default=100.0, metadata={ "type": "Element", "namespace": "", "required": True, }, ) contact_surface_layer: float = field( default=0.001, metadata={ "type": "Element", "namespace": "", "required": True, }, )

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server/routes/courses/courses_auth.py

giuseppe998e/unito-ium

0

77891

#!/usr/bin/python3 import sqlite3 from flask import Blueprint, request, abort, make_response from modules import simple_jwt from modules.database import get_db_conn from modules.utils import logged_before_request, get_role_perms from server_error import server_error route_courses_auth = Blueprint('route_courses_auth', __name__) route_courses_auth.before_request(logged_before_request) # Check for login # -------------------------- # Create new course # -------------------------- @route_courses_auth.route('/courses', methods=['POST']) def course_add(): token_data = simple_jwt.read(request.headers.get('Authorization').split(' ')[1]) user_perms = get_role_perms(token_data.get('user')) req_data = request.get_json() if req_data: if user_perms.get('course_add', 0): with get_db_conn() as database: try: cursor = database.cursor() cursor.execute("""INSERT INTO courses (name) VALUES (?)""", [req_data.get('name')]) last_id_inserted = cursor.lastrowid database.commit() result = make_response({'ok': True, 'data': last_id_inserted}, 200) except sqlite3.Error as e: database.rollback() result = abort(500) print(e) finally: cursor.close() return result return abort(401) return abort(400) # -------------------------- # # -------------------------- @route_courses_auth.route('/courses/<int:course_id>', methods=['PUT']) def course_update(course_id: int): token_data = simple_jwt.read(request.headers.get('Authorization').split(' ')[1]) user_perms = get_role_perms(token_data.get('role')) req_data = request.get_json() if req_data: if user_perms.get('course_update', 0): with get_db_conn() as database: try: cursor = database.cursor() cursor.execute('UPDATE courses SET name = ? WHERE id = ?', [req_data.get('name'), course_id]) database.commit() result = make_response({'ok': True}, 200) except sqlite3.Error: database.rollback() result = server_error('COURSE_NOT_FOUND') finally: cursor.close() return result return abort(401) return abort(400) # -------------------------- # # -------------------------- @route_courses_auth.route('/courses/<int:course_id>', methods=['DELETE']) def course_remove(course_id: int): token_data = simple_jwt.read(request.headers.get('Authorization').split(' ')[1]) user_perms = get_role_perms(token_data.get('role')) if user_perms.get('course_delete', 0): with get_db_conn() as database: try: cursor = database.cursor() cursor.execute('DELETE FROM courses WHERE id = ?', [course_id]) database.commit() result = make_response({'ok': True}, 200) except sqlite3.Error: database.rollback() result = server_error('COURSE_NOT_FOUND') finally: cursor.close() return result return abort(401)

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players/human.py

pikatyuu/deep-learning-othello

0

14339

class Human(): def __init__(self, name="Human"): self.name = name def action(self, game): safe_input = False while not safe_input: pos = input("choose a position: ") if pos == "draw": game.draw() elif pos == "exit": import sys sys.exit() elif pos == "movable": print(game.movable) elif len(pos) == 2: clone = game.clone() pos = tuple(map(int, tuple(pos))) if clone.can_play(pos): safe_input = True else: print("// Error: Can't put it down //") else: print("Error: Invaild input") return game.play(pos) def game_finished(self, game): pass def all_game_finished(self): pass

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octopus/blocktopus/blocks/machines.py

richardingham/octopus

12

1608389

# Package Imports from ..workspace import Block, Disconnected, Cancelled # Twisted Imports from twisted.internet import reactor, defer, task from twisted.python import log # Octopus Imports from octopus import data from octopus.constants import State import octopus.transport.basic # Do not auto-register these classes __exclude_blocks__ = [ "connection_declaration", "machine_declaration", ] class connection_declaration (Block): pass class machine_declaration (Block): def _varName (self, name = None): return "global.machine::" + (name or self.fields['NAME']) def created (self): @self.on('value-changed') def onVarNameChanged (data): if not (data["block"] is self and data["field"] == 'NAME'): return self.workspace.variables.rename(data["oldValue"], data["newValue"]) def _run (self): @defer.inlineCallbacks def _connect (): connection = yield self.getInputValue('CONNECTION', None) if connection is None: raise Exception("No connection specified for machine '{:s}'".format(self.fields['NAME'])) cls = self.getMachineClass() self.machine = cls( connection, alias = self.fields['NAME'], **self.getMachineParams() ) self.workspace.variables.add(self._varName(), self.machine) try: result = yield self.machine.waitUntilReady() except Exception as e: print ("Machine connection error: " + str(e)) raise e print ("Machine block: connection complete to " + str(self.machine)) self.workspace.on("workspace-stopped", self._onWorkspaceStopped) self.workspace.on("workspace-paused", self._onWorkspacePaused) self.workspace.on("workspace-resumed", self._onWorkspaceResumed) # Short delay to allow the machine to get its first data # TODO - machines should only return ready when they # have received their first data. # TODO - make reset configurable. yield defer.gatherResults([ task.deferLater(reactor, 2, lambda: result), self.machine.reset() ]) return _connect() def _onWorkspaceStopped (self, data): print ("Machine block: terminating connection to " + str(self.machine)) self.workspace.off("workspace-stopped", self._onWorkspaceStopped) self.workspace.off("workspace-paused", self._onWorkspacePaused) self.workspace.off("workspace-resumed", self._onWorkspaceResumed) self.machine.stop() self.workspace.variables.remove(self._varName()) def _disconnect (machine): try: machine.disconnect() except AttributeError: pass except: log.err() # Allow some time for any remaining messages to be received. reactor.callLater(2, _disconnect, self.machine) self.machine = None def _onWorkspacePaused (self, data): self.machine.pause() def _onWorkspaceResumed (self, data): self.machine.resume() def getMachineClass (self): raise NotImplementedError() def getMachineParams (self): return {} def getGlobalDeclarationNames (self): name = self._varName() return Block.getGlobalDeclarationNames(self, [name] if not self.disabled else [] ) class machine_knauer_K120 (machine_declaration): def getMachineClass (self): from octopus.manufacturer import knauer return knauer.K120 class machine_knauer_S100 (machine_declaration): def getMachineClass (self): from octopus.manufacturer import knauer return knauer.S100 class machine_vici_multivalve (machine_declaration): def getMachineClass (self): from octopus.manufacturer import vici return vici.MultiValve class machine_mt_icir (machine_declaration): def getMachineClass (self): from octopus.manufacturer import mt return mt.ICIR def getMachineParams (self): import json try: return { "stream_names": json.loads(self.mutation)['stream_names'] } except (ValueError, KeyError): return {} class machine_phidgets_phsensor (machine_declaration): def getMachineClass (self): from octopus.manufacturer import phidgets return phidgets.PHSensor def getMachineParams (self): import json try: return { "min_change": float(json.loads(self.mutation)['min_change']) } except (ValueError, KeyError): return {} class machine_omega_hh306a (machine_declaration): def getMachineClass (self): from octopus.manufacturer import omega return omega.HH306A class machine_harvard_phd2000 (machine_declaration): def getMachineClass (self): from octopus.manufacturer import harvard return harvard.PHD2000Infuser def getMachineParams (self): import json try: return { "syringe_diameter": int(json.loads(self.mutation)['syringe_diameter']) } except (ValueError, KeyError): return {} class machine_mt_sics_balance (machine_declaration): def getMachineClass (self): from octopus.manufacturer import mt return mt.SICSBalance class machine_startech_powerremotecontrol (machine_declaration): def getMachineClass (self): from octopus.manufacturer import startech return startech.PowerRemoteControl class machine_gilson_FractionCollector203B (machine_declaration): def getMachineClass (self): from octopus.manufacturer import gilson return gilson.FractionCollector203B class connection_tcp (connection_declaration): def eval (self): return defer.succeed(octopus.transport.basic.tcp( str(self.fields['HOST']), int(self.fields['PORT']) )) class connection_serial (connection_declaration): def eval (self): return defer.succeed(octopus.transport.basic.serial( str(self.fields['PORT']), baudrate = int(self.fields['BAUD']) )) class connection_phidget (connection_declaration): def eval (self): from octopus.transport.phidgets import Phidget return defer.succeed(Phidget( int(self.fields['ID']), ))

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shapely/tests/geometry/test_multipoint.py

whophil/shapely

0

89551

<filename>shapely/tests/geometry/test_multipoint.py import numpy as np import pytest from shapely.errors import EmptyPartError from shapely.geometry import MultiPoint, Point from shapely.geometry.base import dump_coords from .test_multi import MultiGeometryTestCase class TestMultiPoint(MultiGeometryTestCase): def test_multipoint(self): # From coordinate tuples geom = MultiPoint(((1.0, 2.0), (3.0, 4.0))) assert len(geom.geoms) == 2 assert dump_coords(geom) == [[(1.0, 2.0)], [(3.0, 4.0)]] # From points geom = MultiPoint((Point(1.0, 2.0), Point(3.0, 4.0))) assert len(geom.geoms) == 2 assert dump_coords(geom) == [[(1.0, 2.0)], [(3.0, 4.0)]] # From another multi-point geom2 = MultiPoint(geom) assert len(geom2.geoms) == 2 assert dump_coords(geom2) == [[(1.0, 2.0)], [(3.0, 4.0)]] # Sub-geometry Access assert isinstance(geom.geoms[0], Point) assert geom.geoms[0].x == 1.0 assert geom.geoms[0].y == 2.0 with pytest.raises(IndexError): # index out of range geom.geoms[2] # Geo interface assert geom.__geo_interface__ == { "type": "MultiPoint", "coordinates": ((1.0, 2.0), (3.0, 4.0)), } def test_multipoint_from_numpy(self): # Construct from a numpy array geom = MultiPoint(np.array([[0.0, 0.0], [1.0, 2.0]])) assert isinstance(geom, MultiPoint) assert len(geom.geoms) == 2 assert dump_coords(geom) == [[(0.0, 0.0)], [(1.0, 2.0)]] def test_subgeom_access(self): p0 = Point(1.0, 2.0) p1 = Point(3.0, 4.0) self.subgeom_access_test(MultiPoint, [p0, p1]) def test_create_multi_with_empty_component(self): msg = "Can't create MultiPoint with empty component" with pytest.raises(EmptyPartError, match=msg): MultiPoint([Point(0, 0), Point()]).wkt def test_multipoint_array_coercion(): geom = MultiPoint(((1.0, 2.0), (3.0, 4.0))) arr = np.array(geom) assert arr.ndim == 0 assert arr.size == 1 assert arr.dtype == np.dtype("object") assert arr.item() == geom def test_numpy_object_array(): geom = MultiPoint(((1.0, 2.0), (3.0, 4.0))) ar = np.empty(1, object) ar[:] = [geom] assert ar[0] == geom def test_len_raises(): geom = MultiPoint([[5.0, 6.0], [7.0, 8.0]]) with pytest.raises(TypeError): len(geom)

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beta/nncf/tensorflow/graph/patterns.py

xiao1228/nncf

0

87207

""" Copyright (c) 2020 Intel Corporation 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 operator from functools import reduce from beta.nncf.tensorflow.graph.metatypes.common import ELEMENTWISE_LAYER_METATYPES from beta.nncf.tensorflow.graph.metatypes.common import GENERAL_CONV_LAYER_METATYPES from beta.nncf.tensorflow.graph.metatypes.common import LAYER_METATYPES_AGNOSTIC_TO_DATA_PRECISION_WITH_ONE_INPUT from beta.nncf.tensorflow.graph.metatypes.common import LINEAR_LAYER_METATYPES from beta.nncf.tensorflow.graph.pattern_matching import NodeExpression as N SET_CONV_LAYERS = {layer for m in GENERAL_CONV_LAYER_METATYPES for layer in m.get_all_aliases()} LIST_CONV_OPS = [N(layer) for layer in SET_CONV_LAYERS] SET_LINEAR_LAYERS = {layer for m in LINEAR_LAYER_METATYPES for layer in m.get_all_aliases()} LIST_LINEAR_OPS = [N(layer) for layer in SET_LINEAR_LAYERS] LIST_CONV_LINEAR_OPS = LIST_CONV_OPS + LIST_LINEAR_OPS CONV_LINEAR_OPS = reduce(operator.or_, LIST_CONV_LINEAR_OPS[1:], LIST_CONV_LINEAR_OPS[0]) SET_AGNOSTIC_LAYERS = { layer for m in LAYER_METATYPES_AGNOSTIC_TO_DATA_PRECISION_WITH_ONE_INPUT for layer in m.get_all_aliases() } LIST_AGNOSTIC_OPS = [N(layer) for layer in SET_AGNOSTIC_LAYERS] AG = reduce(operator.or_, LIST_AGNOSTIC_OPS[1:], LIST_AGNOSTIC_OPS[0]) BN = N('BatchNormalization') | N('SyncBatchNormalization') HARD_SIGMOID = (N('AddV2') + N('ReLU') + N('Mul')) HARD_SWISH = (N('Multiply') & (HARD_SIGMOID + N('Multiply'))) KERAS_ACTIVATIONS = N('ReLU') | N('ThresholdedReLU') | N('ELU') | N('PReLU') | N('LeakyReLU') | N('Activation') TF_ACTIVATIONS = N('Relu') ACT = KERAS_ACTIVATIONS | TF_ACTIVATIONS | HARD_SIGMOID | HARD_SWISH ANY_BN_ACT_COMBO = BN + ACT | ACT + BN | BN | ACT ANY_AG_BN_ACT_COMBO = AG + ACT | ANY_BN_ACT_COMBO POOLING = N('AveragePooling2D') | N('AveragePooling3D') | N('GlobalAveragePooling2D') | N('GlobalAveragePooling3D') SINGLE_OPS = POOLING | N('Average') | N('LayerNormalization') SET_ELEMENTWISE_LAYERS = {layer for m in ELEMENTWISE_LAYER_METATYPES for layer in m.get_all_aliases()} LIST_ELEMENTWISE_OPS = [N(layer) for layer in SET_ELEMENTWISE_LAYERS] ELEMENTWISE = reduce(operator.or_, LIST_ELEMENTWISE_OPS[1:], LIST_ELEMENTWISE_OPS[0])

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slcyGeneral.py

mirrorcoloured/slcypi

0

9350

# Python 2.7.1 import RPi.GPIO as GPIO from twython import Twython import time import sys import os import pygame APP_KEY='zmmlyAJzMDIntLpDYmSH98gbw' APP_SECRET='<KEY>' OAUTH_TOKEN='<KEY>' OAUTH_TOKEN_SECRET='<KEY>' applepislcy = Twython(APP_KEY, APP_SECRET, OAUTH_TOKEN, OAUTH_TOKEN_SECRET) ### GENERAL ### def Cleanup(): GPIO.cleanup() def Sleep(seconds): """Puts the program to sleep""" time.sleep(seconds) def Alert(channel): """Simple alert function for testing event interrupts""" print('Alert on channel',channel) def TimeString(): """Returns the current time""" t = time.localtime() return str(t[0])+'.'+str(t[1])+'.'+str(t[2])+'.'+str(t[3])+'.'+str(t[4])+'.'+str(t[5]) def LoadPins(mapping,inp): """Organizes an input into a pin mapping dict mapping <list>, ['IA','IB'] inp <dict>, <list>, <int> {'IA':1,'IB':2}, [1,2] """ if type(inp) is int and len(mapping) == 1: return {mapping[0]:inp} elif type(inp) is list and len(mapping) == len(inp): o = {} for i in range(len(inp)): o[mapping[i]] = inp[i] return o elif type(inp) is dict: return inp else: print('Invalid input for pins:',inp,type(inp)) print('Expected:',mapping) return {} def BoolToSign(inp): """Converts boolean bits into signed bits 0 -> -1 1 -> 1""" return (inp * 2) - 1 def SignToBool(inp): """Converts signed bits into boolean bits -1 -> 0 1 -> 1""" return (inp + 1) / 2 ### PYGAME ### def WindowSetup(size=(300,50),caption='',text='',background=(0,0,0),foreground=(255,255,255)): """Sets up a pygame window to take keyboard input size <tuple>, width by height caption <str>, window title bar text <str>, text to display in window, accepts \n background <tuple>, foreground <tuple>, (r,g,b) color """ pygame.init() screen = pygame.display.set_mode(size,0,32) pygame.display.set_caption(caption) myfont = pygame.font.SysFont('Monospace',15) labels = [] lines = text.split('\n') for line in lines: labels.append(myfont.render(line,1,foreground)) screen.fill(background) y = 0 for label in labels: screen.blit(label, (0,y)) y += 15 pygame.display.update() def InputLoop(eventmap): """Begins a pygame loop, mapping key inputs to functions eventmap <dict>, {pygame.K_t:myfunction} """ index = 0 while True: events = pygame.event.get() for event in events: if event.type == pygame.KEYDOWN: #print("{0}: You pressed {1:c}".format ( index , event.key )) if event.key in eventmap: eventmap[event.key]() elif event.type == pygame.QUIT: pygame.quit() sys.exit() def InputLoopDemo(): def dog(): print('woof') def cat(): print('meow') def fish(): print('blub') WindowSetup(caption='pet simulator',text='d for dog\nc for cat\nf for fish') InputLoop({pygame.K_d:dog, pygame.K_c:cat, pygame.K_f:fish}) ### TWITTER ### def Tweet(twit,statustext): """Tweets a message twit <Twython>, create with Twython(APP_KEY, APP_SECRET, OAUTH_TOKEN, OAUTH_TOKEN_SECRET) statustext <str>, must be <= 140 characters """ if len(statustext) > 140: print('ERROR: Character limit 140 exceeded:',len(statustext)) else: twit.update_status(status=statustext) def TweetPicture(twit,file,statustext): """Tweets a message with a picture twit <Twython>, create with Twython(APP_KEY, APP_SECRET, OAUTH_TOKEN, OAUTH_TOKEN_SECRET) file <str>, path and filename to picture statustext <str>, must be <= 140 characters """ photo = open(file, 'rb') response = twitter.upload_media(media=photo) twit.update_status(status=statustext, media_ids=[response['media_id']]) def TweetVideo(twit,file,statustext): """Tweets a message with a video twit <Twython>, create with Twython(APP_KEY, APP_SECRET, OAUTH_TOKEN, OAUTH_TOKEN_SECRET) file <str>, path and filename to video statustext <str>, must be <= 140 characters """ video = open(file, 'rb') response = twitter.upload_video(media=video, media_type='video/mp4') twit.update_status(status=statustext, media_ids=[response['media_id']])

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syntactic_complexity.py

volkancirik/synlana

1

54402

'''ORIGINAL file:https://github.com/neubig/util-scripts/blob/master/syntactic-complexity.py ''' #!/usr/bin/env python ''' A program to calculate syntactic complexity of parse trees. (Relies on NLTK) This is an implementation of some of the methods in: Syntactic complexity measures for detecting Mild Cognitive Impairment <NAME>, <NAME> and <NAME> Proc BioNLP 2007. ''' try: import sys from nltk.tree import Tree from nltk.draw.tree import TreeWidget from nltk.draw.util import (CanvasFrame, CanvasWidget, BoxWidget, TextWidget, ParenWidget, OvalWidget) except ImportError: print('Error: cannot import the NLTK!') print('You need to install the NLTK. Please visit http://nltk.org/install.html for details.') print("On Ubuntu, the installation can be done via 'sudo apt-get install python-nltk'") sys.exit() def calc_words(t): if type(t) == str: return 1 else: val = 0 for child in t: val += calc_words(child) return val def calc_nodes(t): if type(t) == str: return 0 else: val = 0 for child in t: val += calc_nodes(child)+1 return val def calc_yngve(t, par): if type(t) == str: return par else: val = 0 for i, child in enumerate(reversed(t)): val += calc_yngve(child, par+i) return val def is_sent(val): return len(val) > 0 and val[0] == "S" def calc_frazier(t, par, par_lab): # print t # print par if type(t) == str: # print par-1 return par-1 else: val = 0 for i, child in enumerate(t): # For all but the leftmost child, zero score = 0 if i == 0: my_lab = t.label() # If it's a sentence, and not duplicated, add 1.5 if is_sent(my_lab): score = (0 if is_sent(par_lab) else par+1.5) # Otherwise, unless it's a root node, add one elif my_lab != "" and my_lab != "ROOT" and my_lab != "TOP": score = par + 1 val += calc_frazier(child, score, my_lab) return val def main(): sents = 0 words_tot = 0 yngve_tot = 0 frazier_tot = 0 nodes_tot = 0 for line in sys.stdin: if line == "end": break print('>>>line', line) t = Tree.fromstring(line) words = calc_words(t) words_tot += words sents += 1 yngve = calc_yngve(t, 0) yngve_avg = float(yngve)/words yngve_tot += yngve_avg nodes = calc_nodes(t) nodes_avg = float(nodes)/words nodes_tot += nodes_avg frazier = calc_frazier(t, 0, "") frazier_avg = float(frazier)/words frazier_tot += frazier_avg print("Sentence=%d\twords=%d\tyngve=%f\tfrazier=%f\tnodes=%f" % (sents, words, yngve_avg, frazier_avg, nodes_avg)) # yngve_avg = float(yngve_tot)/sents # frazier_avg = float(frazier_tot)/sents # nodes_avg = float(nodes_tot)/sents # words_avg = float(words_tot)/sents # print("Total\tsents=%d\twords=%f\tyngve=%f\tfrazier=%f\tnodes=%f" % # (sents, words_avg, yngve_avg, frazier_avg, nodes_avg)) if __name__ == '__main__': main()

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ex02_randomness_test/tests/test_main.py

ittigorn-tra/exercises

0

32288

from logging import getLogger from lottery_config import LotteryConfig from main import draw_lottery logger = getLogger() def test_draw_lottery(): for test_count in range(10000): draw_results = draw_lottery() logger.info(f'Test #{str(test_count).ljust(4)} Draw Results : {draw_results}') # check if return type is as in the requirement assert isinstance(draw_results, list) # check if properties is as in config assert len(draw_results) == LotteryConfig.DRAW_SIZE.value assert min(draw_results) >= LotteryConfig.BALL_MIN_NO.value assert max(draw_results) <= LotteryConfig.BALL_MAX_NO.value # check that the previous ball is always less than current ball previous_ball = LotteryConfig.BALL_MIN_NO.value - 1 for ball in draw_results: assert ball > previous_ball previous_ball = ball

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Qt_interface/add_subject.py

kithsirij/NLP-based-Syllabus-Coverage-Exam-paper-checker-Tool

1

44

<reponame>kithsirij/NLP-based-Syllabus-Coverage-Exam-paper-checker-Tool # -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'add_subject.ui' # # Created by: PyQt4 UI code generator 4.11.4 # # WARNING! All changes made in this file will be lost! from PyQt4 import QtCore, QtGui try: _fromUtf8 = QtCore.QString.fromUtf8 except AttributeError: def _fromUtf8(s): return s try: _encoding = QtGui.QApplication.UnicodeUTF8 def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig, _encoding) except AttributeError: def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig) class Ui_Dialog_add_subject(object): def setupUi(self, Dialog_add_subject): Dialog_add_subject.setObjectName(_fromUtf8("Dialog_add_subject")) Dialog_add_subject.resize(568, 374) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(10) Dialog_add_subject.setFont(font) Dialog_add_subject.setContextMenuPolicy(QtCore.Qt.CustomContextMenu) icon = QtGui.QIcon() icon.addPixmap(QtGui.QPixmap(_fromUtf8("Qt_interface/SE_syllabus/4zIr6y.jpg")), QtGui.QIcon.Normal, QtGui.QIcon.Off) Dialog_add_subject.setWindowIcon(icon) self.lbl_subject_name = QtGui.QLabel(Dialog_add_subject) self.lbl_subject_name.setGeometry(QtCore.QRect(50, 235, 131, 21)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(12) self.lbl_subject_name.setFont(font) self.lbl_subject_name.setObjectName(_fromUtf8("lbl_subject_name")) self.label_add_subject = QtGui.QLabel(Dialog_add_subject) self.label_add_subject.setGeometry(QtCore.QRect(220, 30, 151, 31)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(14) font.setBold(True) font.setWeight(75) self.label_add_subject.setFont(font) self.label_add_subject.setObjectName(_fromUtf8("label_add_subject")) self.lineEdit_subject_name = QtGui.QLineEdit(Dialog_add_subject) self.lineEdit_subject_name.setGeometry(QtCore.QRect(190, 230, 321, 31)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(12) self.lineEdit_subject_name.setFont(font) self.lineEdit_subject_name.setObjectName(_fromUtf8("lineEdit_subject_name")) self.label_year = QtGui.QLabel(Dialog_add_subject) self.label_year.setGeometry(QtCore.QRect(50, 95, 81, 21)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(12) self.label_year.setFont(font) self.label_year.setObjectName(_fromUtf8("label_year")) self.label_semester = QtGui.QLabel(Dialog_add_subject) self.label_semester.setGeometry(QtCore.QRect(50, 165, 91, 21)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(12) self.label_semester.setFont(font) self.label_semester.setObjectName(_fromUtf8("label_semester")) self.pushButton_save = QtGui.QPushButton(Dialog_add_subject) self.pushButton_save.setGeometry(QtCore.QRect(190, 290, 111, 31)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(10) self.pushButton_save.setFont(font) icon1 = QtGui.QIcon() icon1.addPixmap(QtGui.QPixmap(_fromUtf8("Qt_interface/SE_syllabus/Save-as.png")), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton_save.setIcon(icon1) self.pushButton_save.setIconSize(QtCore.QSize(20, 20)) self.pushButton_save.setObjectName(_fromUtf8("pushButton_save")) self.pushButton_cancel = QtGui.QPushButton(Dialog_add_subject) self.pushButton_cancel.setGeometry(QtCore.QRect(340, 290, 111, 31)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) self.pushButton_cancel.setFont(font) icon2 = QtGui.QIcon() icon2.addPixmap(QtGui.QPixmap(_fromUtf8("Qt_interface/SE_syllabus/if_draw-08_725558.png")), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton_cancel.setIcon(icon2) self.pushButton_cancel.setIconSize(QtCore.QSize(20, 20)) self.pushButton_cancel.setObjectName(_fromUtf8("pushButton_cancel")) self.comboBox_year = QtGui.QComboBox(Dialog_add_subject) self.comboBox_year.setGeometry(QtCore.QRect(190, 91, 111, 31)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(12) self.comboBox_year.setFont(font) self.comboBox_year.setObjectName(_fromUtf8("comboBox_year")) self.comboBox_semester = QtGui.QComboBox(Dialog_add_subject) self.comboBox_semester.setGeometry(QtCore.QRect(190, 160, 111, 31)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(12) self.comboBox_semester.setFont(font) self.comboBox_semester.setObjectName(_fromUtf8("comboBox_semester")) self.retranslateUi(Dialog_add_subject) QtCore.QObject.connect(self.pushButton_cancel, QtCore.SIGNAL(_fromUtf8("clicked()")), self.lineEdit_subject_name.clear) QtCore.QMetaObject.connectSlotsByName(Dialog_add_subject) def retranslateUi(self, Dialog_add_subject): Dialog_add_subject.setWindowTitle(_translate("Dialog_add_subject", "Dialog", None)) self.lbl_subject_name.setText(_translate("Dialog_add_subject", "SUBJECT NAME", None)) self.label_add_subject.setText(_translate("Dialog_add_subject", "ADD SUBJECT", None)) self.label_year.setText(_translate("Dialog_add_subject", "YEAR", None)) self.label_semester.setText(_translate("Dialog_add_subject", "SEMESTER", None)) self.pushButton_save.setText(_translate("Dialog_add_subject", "SAVE", None)) self.pushButton_cancel.setText(_translate("Dialog_add_subject", "CANCEL", None)) if __name__ == "__main__": import sys app = QtGui.QApplication(sys.argv) Dialog_add_subject = QtGui.QDialog() ui = Ui_Dialog_add_subject() ui.setupUi(Dialog_add_subject) Dialog_add_subject.show() sys.exit(app.exec_())

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opennem/utils/scrapyd.py

paulculmsee/opennem

22

8687

<reponame>paulculmsee/opennem #!/usr/bin/env python """ Srapyd control methods """ import logging from typing import Any, Dict, List from urllib.parse import urljoin from opennem.settings import settings from opennem.utils.http import http from opennem.utils.scrapy import get_spiders logger = logging.getLogger("scrapyd.client") def get_jobs() -> Dict[str, Any]: job_url = urljoin( settings.scrapyd_url, "listjobs.json?project={}".format(settings.scrapyd_project_name), ) jobs = http.get(job_url).json() return jobs def job_cancel(id: str) -> bool: cancel_job_url = urljoin(settings.scrapyd_url, "cancel.json") r = http.post(cancel_job_url, data={"project": "opennem", "job": id}) resp = r.json() if resp["status"] == "error": logger.error("Error: {}".format(resp["message"])) return False logger.info("Cancelled job: {}".format(resp["jobid"])) return True def job_schedule(spider_name: str) -> bool: schedule_url = urljoin(settings.scrapyd_url, "schedule.json") try: r = http.post(schedule_url, data={"project": "opennem", "spider": spider_name}) except Exception as e: logger.error("Error getting {}: {}".format(schedule_url, e)) return False if not r.ok: logger.error("Error: {}".format(r.status_code)) return False resp = r.json() if resp["status"] == "error": logger.error("Error: {}".format(resp["message"])) return False logger.info("Queued spider {} with task: {}".format(spider_name, resp["jobid"])) return True def job_cancel_state(state: str = "pending") -> bool: jobs = get_jobs() if state not in jobs: logger.info("Invalid state or no jobs in state {}".format(state)) return False pending_jobs = jobs[state] for job in pending_jobs: job_id = job["id"] logger.info("Cancelling {}".format(job_id)) job_cancel(job_id) return True def job_schedule_all(matches: str = None) -> List[str]: spiders = get_spiders() spider_scheduled = [] for s in spiders: if matches and matches != s: continue job_schedule(s) spider_scheduled.append(s) return spider_scheduled

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WordRPG/systems/character/slot.py

ChristopherLBruce/WordRPG

2

114664

<reponame>ChristopherLBruce/WordRPG class Slot: def __init__(name, _type=None, item=None): self.name = name, if _type is not None: self.type = _type else: self.type = name self.item = item, def equip(self): pass def unequip(self): pass def show(self): pass

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config_manager.py

jbytes1027/notify-mirror

0

31569

import pathlib import configparser class ConfigManager: DEFAULT_CONFIG_PATH = "~/.config/notify-sync.ini" SETTING_NOTIFICATION_ICON = "icon" SETTING_NOTIFICATION_TIMEOUT = "timeout" # in ms # SETTING_NOTIFICATION_URGENCY = "urgency" # 0,1,2 low, avg, urgent SETTING_NOTIFICATION_EXEC = "exec_on_click" def __init__(self, config_path=DEFAULT_CONFIG_PATH): self.config_path = config_path self.config = configparser.ConfigParser() path = pathlib.PosixPath(self.config_path).expanduser() if path.exists(): # read config file with open(path, "r") as config_file: self.config.read_file(config_file) else: if not path.parent.exists(): # create config dir path.parent.mkdir(parents=True) # set default settings self.config["GENERAL"] = { "api_key": "", "notify_on_error": "no", "notify_on_connection_changed": "no", } self.config["DEFAULT NOTIFICATION"] = { "icon": "given", "timeout": "default", # "urgency": "default", "exec_on_click": "", } # create config file with open(path, "w") as config_file: self.config.write(config_file) def get_notification_setting(self, android_notification, setting): if ( android_notification.package in self.config and setting in self.config[android_notification.package] ): return self.config[android_notification.package][setting] else: return self.config["DEFAULT NOTIFICATION"][setting] def get_api_key(self): return self.config["GENERAL"]["api_key"]

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doc/source/code/tut3.py

FernandoSBorges/netpyne

0

1609171

from netpyne import specs, sim # Network parameters netParams = specs.NetParams() # object of class NetParams to store the network parameters ## Cell types PYRcell = {'secs': {}} PYRcell['secs']['soma'] = {'geom': {}, 'mechs': {}} PYRcell['secs']['soma']['geom'] = {'diam': 18.8, 'L': 18.8, 'Ra': 123.0} PYRcell['secs']['soma']['mechs']['hh'] = {'gnabar': 0.12, 'gkbar': 0.036, 'gl': 0.003, 'el': -70} PYRcell['secs']['dend'] = {'geom': {}, 'topol': {}, 'mechs': {}} PYRcell['secs']['dend']['geom'] = {'diam': 5.0, 'L': 150.0, 'Ra': 150.0, 'cm': 1} PYRcell['secs']['dend']['topol'] = {'parentSec': 'soma', 'parentX': 1.0, 'childX': 0} PYRcell['secs']['dend']['mechs']['pas'] = {'g': 0.0000357, 'e': -70} netParams.cellParams['PYR'] = PYRcell ## Population parameters netParams.popParams['S'] = {'cellType': 'PYR', 'numCells': 20} netParams.popParams['M'] = {'cellType': 'PYR', 'numCells': 20} ## Synaptic mechanism parameters netParams.synMechParams['exc'] = {'mod': 'Exp2Syn', 'tau1': 1.0, 'tau2': 5.0, 'e': 0} # excitatory synaptic mechanism # Stimulation parameters netParams.stimSourceParams['bkg'] = {'type': 'NetStim', 'rate': 10, 'noise': 0.5} netParams.stimTargetParams['bkg->PYR'] = {'source': 'bkg', 'conds': {'cellType': 'PYR'}, 'weight': 0.01, 'delay': 5, 'synMech': 'exc'} ## Cell connectivity rules netParams.connParams['S->M'] = {'preConds': {'pop': 'S'}, 'postConds': {'pop': 'M'}, # S -> M 'probability': 0.5, # probability of connection 'weight': 0.01, # synaptic weight 'delay': 5, # transmission delay (ms) 'sec': 'dend', # section to connect to 'loc': 1.0, # location of synapse 'synMech': 'exc'} # target synaptic mechanism # Simulation options simConfig = specs.SimConfig() # object of class SimConfig to store simulation configuration simConfig.duration = 1*1e3 # Duration of the simulation, in ms simConfig.dt = 0.025 # Internal integration timestep to use simConfig.verbose = False # Show detailed messages simConfig.recordTraces = {'V_soma':{'sec':'soma','loc':0.5,'var':'v'}} # Dict with traces to record simConfig.recordStep = 1 # Step size in ms to save data (eg. V traces, LFP, etc) simConfig.filename = 'tut3' # Set file output name simConfig.savePickle = False # Save params, network and sim output to pickle file simConfig.analysis['plotRaster'] = {'saveFig': True} # Plot a raster simConfig.analysis['plotTraces'] = {'include': [1], 'saveFig': True} # Plot recorded traces for this list of cells simConfig.analysis['plot2Dnet'] = {'saveFig': True} # plot 2D cell positions and connections # Create network and run simulation sim.createSimulateAnalyze(netParams = netParams, simConfig = simConfig) # import pylab; pylab.show() # this line is only necessary in certain systems where figures appear empty # check model output sim.checkOutput('tut3')

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setup.py

andrewdodd/docopt_uc

6

91929

#!/usr/bin/env python # -*- coding: utf-8 -*- from setuptools import setup, find_packages setup( name="docopt-uc", description="A docopt library suitable for microcontrollers.", license="MIT", version="1.0.2", author="<NAME>", author_email="<EMAIL>", maintainer="<NAME>", maintainer_email="<EMAIL>", keywords=["docopt", "microcontroller", "cli"], packages=find_packages(where="src"), package_dir={"": "src"}, package_data={'docopt_uc': ['templates/*.c', 'templates/*.h']}, zip_safe=False, classifiers=[ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", ], install_requires=["docopt", "jinja2"], entry_points={'console_scripts': [ 'docopt-uc = docopt_uc.docopt_uc:main', ]})

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source/_sample/networkx/drawing_tree.py

showa-yojyo/notebook

14

93905

<reponame>showa-yojyo/notebook #!/usr/bin/env python """drawing_tree.py: draw a tree graph with pydot_layout. """ import colorsys import networkx as nx import matplotlib.pyplot as plt # A tree graph is given. branching = 2 height = 5 G = nx.balanced_tree(branching, height) #pos = nx.spring_layout(G) # default; bad #pos = nx.shell_layout(G) # bad #pos = nx.spectral_layout(G) # poor pos = nx.nx_pydot.pydot_layout(G, prog='dot') # good # Node colors. ncolors = [] height += 1 for i in range(height): ncolors.extend( [colorsys.hsv_to_rgb(i / height, 1.0, 1.0)] * branching ** i) nx.draw_networkx(G, pos, node_color=ncolors) #plt.axes().set_aspect('equal', 'datalim') plt.axis('off') plt.show()

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tracker/urls.py

sansaralab/shiva-dropped

0

159326

from django.conf.urls import url from .views import tracker_serve, track, attach_contact, send_event, attach_data urlpatterns = [ url(r'shiva.js$', tracker_serve), url(r'track$', track), url(r'attach$', attach_contact), url(r'data$', attach_data), url(r'event$', send_event), ]

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old/SimpleElectroSim/python/electro_sim.py

0xDBFB7/Nyion

0

196110

<filename>old/SimpleElectroSim/python/electro_sim.py #imports from shapely.geometry import Point import numpy as np import random import math from decimal import * from time import sleep import copy try: from OpenGL.GL import * from OpenGL.GLU import * from OpenGL.GLUT import * except: print "OpenGL wrapper for python not found" from stl import mesh #The grid is m^2. Force is in newtons. Charge is Coloumbs. data_file = open("data.csv","w+") #display values timestep = 0.0000001 pixel_size = 10 pixel_spacing = 20 grid_width = 1000 rotation_x_speed = 0 rotation_y_speed = 10 rotation_y = 0 rotation_x = 0 #Physical constants k_constant = 8990000000.0 electron_charge = 0.000000000000016021766 electron_mass = 0.0000000000000000000000000016726218 aluminum_mass = 0.00000000000000000000000004483263 time = 0 particles = [] glutInit(); glutInitDisplayMode(GLUT_DOUBLE | GLUT_RGB | GLUT_DEPTH); glEnable(GL_MULTISAMPLE); glutInitWindowSize(1920, 1080); glutCreateWindow("Solver"); glViewport(0, 0, 1920, 1080); glClearColor(1.0, 1.0, 1.0, 1.0); glClearDepth(1.0); glEnable(GL_DEPTH_TEST); glDepthFunc(GL_LEQUAL); glShadeModel(GL_SMOOTH); glHint(GL_PERSPECTIVE_CORRECTION_HINT, GL_NICEST); glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT); glMatrixMode(GL_PROJECTION); glLoadIdentity(); gluPerspective(60, (1920.0/1080.0), 1, 3000); glMatrixMode(GL_MODELVIEW); glLoadIdentity(); glTranslatef(0,0,0); glRotatef(0, 45, 0.1, 0); glRotatef(0, 0, 45, 0); glTranslatef(-grid_width/2,-grid_width/2, -2000); def vector(a): if(a > 0): return 1.0 else: return -1.0 def draw_square(x,y,z,color): glPushMatrix(); glTranslatef(x,y,z); glColor3f(color[0],color[1],color[2]); glutSolidCube(pixel_size); glPopMatrix(); def draw_sphere(x,y,z,color): glPushMatrix(); glTranslatef(x,y,z); glColor3f(color[0],color[1],color[2]); glutSolidSphere(pixel_size/2.0,10,10); glPopMatrix(); glutSwapBuffers(); glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT); glutSwapBuffers(); glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT); ############################################DEFINE THE SIM######################################### def particle_circle(center=(0, 0, 0), charge=electron_charge,r=1, n=10,velocity=132620500, fixed=False): global particles for i in [ ( center[0]+(math.cos(2 * math.pi / n * x) * r), # x center[1] + (math.sin(2 * math.pi / n * x) * r) # y ) for x in xrange(0, n + 1)]: particles.append({"charge": 1.0*charge, "mass": electron_mass, "position": [i[0],center[2],i[1]], "velocity": [0,velocity,0], "constrain": [[],[],[]],"color":[0,0,0], "fixed": fixed}) def charged_plate(position=(5.0, 10, 0.001), size=(2,5,5), n=50, charge=(1/2000000.0),velocity=1000): global particles for i in range(0,n): particles.append({"charge": charge/n, "mass": electron_mass, "position": [random.uniform(position[0],position[0]+size[0]),random.uniform(position[1],position[1]+size[1]),\ random.uniform(position[2],position[2]+size[2])], "velocity": [velocity,velocity,0], "fixed": True,"constrain": [],"color":[100,0,0]}) def charged_plate_with_hole(position=(5.0, 10, 0.001), size=(2,5,5), n=50, charge=(1/2000000.0),velocity=1000): global particles for i in range(0,n): particles.append({"charge": charge/n, "mass": electron_mass, "position": [random.uniform(position[0],position[0]+size[0]),random.uniform(position[1],position[1]+size[1]),\ random.uniform(position[2],position[2]+size[2])], "velocity": [velocity,velocity,0], "fixed": True,"constrain": [],"color":[100,0,0]}) # anode = mesh.Mesh.from_file('anode.stl') # # def charged_mesh(input_mesh, charge=(1/2000000.0), n=0,velocity=1000): # global particles # prev_point = input_mesh.points[0] # print(len(input_mesh.points)) # print(input_mesh.points.flatten(-1)) # for point in input_mesh.points: # for i in np.arange(0,point[0],n/len(input_mesh.points)): # particles.append({"charge": charge/n, "mass": electron_mass, "position": [point[0]-prev_point[0],point[1],point[2]], "velocity": [velocity,velocity,0], "fixed": True,"constrain": [],"color":[100,0,0]}) # prev_point = point particle_circle(velocity=1326000) particle_circle(r=5,velocity=1326000) # charged_mesh(anode) for i in np.arange(10,30): particle_circle(center=(0,0,i), r=10,fixed=True,charge=electron_charge) for i in np.arange(40,60): particle_circle(center=(0,0,i), r=10,fixed=True,charge=-electron_charge) for i in np.arange(70,90): particle_circle(center=(0,0,i), r=10,fixed=True,charge=electron_charge) # charged_plate() print(particles) sleep(3) # # particles = [{"charge": 1.0*electron_charge, "mass": electron_mass, "position": [10,1,0], "velocity": [0,0,0]}, # {"charge": 1.0*electron_charge, "mass": electron_mass, "position": [15,1,0], "velocity": [0,0,0]}, # {"charge": 1.0*electron_charge, "mass": electron_mass, "position": [50.3,53,0.3], "velocity": [0,0,0]}, # {"charge": 1.0*electron_charge, "mass": electron_mass, "position": [50.4,54,0.4], "velocity": [-100,0,0]}] ############################################DEFINE THE SIM######################################### while True: # glTranslatef(0,0,2000); # glRotatef(rotation_y, 0, 0.1, 0); # glRotatef(45, 0.1, 0, 0); # glTranslatef(-grid_width/2,-grid_width/2, -2000); glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT); rotation_y = rotation_y_speed*time print("Time: {}".format(time)) frozen_state = copy.deepcopy(particles) for p1_index,particle in enumerate(frozen_state): if not particle["fixed"]: force_x = 0 force_y = 0 force_z = 0 for second_particle in [x for i,x in enumerate(frozen_state) if i!=p1_index]: magnitude = (k_constant*particle['charge']*second_particle['charge']); distance_x = (particle["position"][0]-second_particle["position"][0]) distance_y = (particle["position"][1]-second_particle["position"][1]) distance_z = (particle["position"][2]-second_particle["position"][2]) distance = math.sqrt(distance_x**2.0+distance_y**2.0+distance_z**2.0) e_force = (magnitude/((distance)**2.0)); force_x += e_force*(distance_x/distance) force_y += e_force*(distance_y/distance) force_z += e_force*(distance_z/distance) print("Distance: {}".format(math.sqrt(distance_x**2.0+distance_y**2.0+distance_z**2.0))) accel_x = force_x/particle['mass'] accel_y = force_y/particle['mass'] accel_z = force_z/particle['mass'] particles[p1_index]["velocity"][0] += accel_x*timestep; particles[p1_index]["velocity"][1] += accel_y*timestep; particles[p1_index]["velocity"][2] += accel_z*timestep; particles[p1_index]["position"][0] += particles[p1_index]["velocity"][0]*timestep particles[p1_index]["position"][1] += particles[p1_index]["velocity"][1]*timestep particles[p1_index]["position"][2] += particles[p1_index]["velocity"][2]*timestep print("-"*20) print("Particle: {} X: {} Y: {} Z: {}".format(p1_index,frozen_state[p1_index]["position"][0],frozen_state[p1_index]["position"][1],frozen_state[p1_index]["position"][2])) print("Velocity: X: {} Y: {} Z: {}".format(particles[p1_index]["velocity"][0],particles[p1_index]["velocity"][1],particles[p1_index]["velocity"][2])) print("Acceleration: X: {} Y: {} Z: {}".format(accel_x,accel_y,accel_z)) print("Force: X: {} Y: {} Z: {}".format(force_x,force_y,force_z)) # data_file.write("{},{},{},{},{},{},{},{},{},{},\n".format(particles[p1_index]["position"][0],particles[p1_index]["position"][1],particles[p1_index]["position"][2])) print("-"*20) draw_sphere(particles[p1_index]["position"][0]*pixel_spacing,particles[p1_index]["position"][1]*pixel_spacing,particles[p1_index]["position"][2]*pixel_spacing,particles[p1_index]["color"]) print("Frame complete") print("#"*20) glutSwapBuffers(); time += timestep sleep(0.01)

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Aeneas/aeneas/aeneas/synthesizer.py

yalhaizaey/Dreich

25

110783

#!/usr/bin/env python # coding=utf-8 # aeneas is a Python/C library and a set of tools # to automagically synchronize audio and text (aka forced alignment) # # Copyright (C) 2012-2013, <NAME> (www.albertopettarin.it) # Copyright (C) 2013-2015, ReadBeyond Srl (www.readbeyond.it) # Copyright (C) 2015-2017, <NAME> (www.albertopettarin.it) # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU Affero General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Affero General Public License for more details. # # You should have received a copy of the GNU Affero General Public License # along with this program. If not, see <http://www.gnu.org/licenses/>. """ This module contains the following classes: * :class:`~aeneas.synthesizer.Synthesizer`, for synthesizing text fragments into an audio file, along with the corresponding time anchors. .. warning:: This module might be refactored in a future version """ from __future__ import absolute_import from __future__ import print_function from aeneas.logger import Loggable from aeneas.runtimeconfiguration import RuntimeConfiguration from aeneas.textfile import TextFile from aeneas.ttswrappers.awsttswrapper import AWSTTSWrapper from aeneas.ttswrappers.espeakngttswrapper import ESPEAKNGTTSWrapper from aeneas.ttswrappers.espeakttswrapper import ESPEAKTTSWrapper from aeneas.ttswrappers.festivalttswrapper import FESTIVALTTSWrapper from aeneas.ttswrappers.macosttswrapper import MacOSTTSWrapper from aeneas.ttswrappers.nuancettswrapper import NuanceTTSWrapper import aeneas.globalfunctions as gf class Synthesizer(Loggable): """ A class to synthesize text fragments into an audio file, along with the corresponding time anchors. :param rconf: a runtime configuration :type rconf: :class:`~aeneas.runtimeconfiguration.RuntimeConfiguration` :param logger: the logger object :type logger: :class:`~aeneas.logger.Logger` :raises: OSError: if a custom TTS engine is requested but it cannot be loaded :raises: ImportError: if the AWS Polly TTS API wrapper is requested but the ``boto3`` module is not installed, or if the Nuance TTS API wrapper is requested but the``requests`` module is not installed """ AWS = "aws" """ Select AWS Polly TTS API wrapper """ CUSTOM = "custom" """ Select custom TTS engine wrapper """ ESPEAK = "espeak" """ Select eSpeak wrapper """ ESPEAKNG = "espeak-ng" """ Select eSpeak-ng wrapper """ FESTIVAL = "festival" """ Select Festival wrapper """ MACOS = "macos" """ Select macOS "say" wrapper """ NUANCE = "nuance" """ Select Nuance TTS API wrapper """ ALLOWED_VALUES = [AWS, CUSTOM, ESPEAK, ESPEAKNG, FESTIVAL, MACOS, NUANCE] """ List of all the allowed values """ TAG = u"Synthesizer" def __init__(self, rconf=None, logger=None): super(Synthesizer, self).__init__(rconf=rconf, logger=logger) self.tts_engine = None self._select_tts_engine() def _select_tts_engine(self): """ Select the TTS engine to be used by looking at the rconf object. """ self.log(u"Selecting TTS engine...") requested_tts_engine = self.rconf[RuntimeConfiguration.TTS] if requested_tts_engine == self.CUSTOM: self.log(u"TTS engine: custom") tts_path = self.rconf[RuntimeConfiguration.TTS_PATH] if tts_path is None: self.log_exc(u"You must specify a value for tts_path", None, True, ValueError) if not gf.file_can_be_read(tts_path): self.log_exc(u"Cannot read tts_path", None, True, OSError) try: import imp self.log([u"Loading CustomTTSWrapper module from '%s'...", tts_path]) imp.load_source("CustomTTSWrapperModule", tts_path) self.log([u"Loading CustomTTSWrapper module from '%s'... done", tts_path]) self.log(u"Importing CustomTTSWrapper...") from CustomTTSWrapperModule import CustomTTSWrapper self.log(u"Importing CustomTTSWrapper... done") self.log(u"Creating CustomTTSWrapper instance...") self.tts_engine = CustomTTSWrapper(rconf=self.rconf, logger=self.logger) self.log(u"Creating CustomTTSWrapper instance... done") except Exception as exc: self.log_exc(u"Unable to load custom TTS wrapper", exc, True, OSError) elif requested_tts_engine == self.AWS: try: import boto3 except ImportError as exc: self.log_exc(u"Unable to import boto3 for AWS Polly TTS API wrapper", exc, True, ImportError) self.log(u"TTS engine: AWS Polly TTS API") self.tts_engine = AWSTTSWrapper(rconf=self.rconf, logger=self.logger) elif requested_tts_engine == self.NUANCE: try: import requests except ImportError as exc: self.log_exc(u"Unable to import requests for Nuance TTS API wrapper", exc, True, ImportError) self.log(u"TTS engine: Nuance TTS API") self.tts_engine = NuanceTTSWrapper(rconf=self.rconf, logger=self.logger) elif requested_tts_engine == self.ESPEAKNG: self.log(u"TTS engine: eSpeak-ng") self.tts_engine = ESPEAKNGTTSWrapper(rconf=self.rconf, logger=self.logger) elif requested_tts_engine == self.FESTIVAL: self.log(u"TTS engine: Festival") self.tts_engine = FESTIVALTTSWrapper(rconf=self.rconf, logger=self.logger) elif requested_tts_engine == self.MACOS: self.log(u"TTS engine: macOS") self.tts_engine = MacOSTTSWrapper(rconf=self.rconf, logger=self.logger) else: self.log(u"TTS engine: eSpeak") self.tts_engine = ESPEAKTTSWrapper(rconf=self.rconf, logger=self.logger) self.log(u"Selecting TTS engine... done") @property def output_audio_format(self): """ Return a tuple ``(codec, channels, rate)`` specifying the audio format generated by the actual TTS engine. :rtype: tuple """ if self.tts_engine is not None: return self.tts_engine.OUTPUT_AUDIO_FORMAT return None def clear_cache(self): """ Clear the TTS cache, removing all cache files from disk. .. versionadded:: 1.6.0 """ if self.tts_engine is not None: self.tts_engine.clear_cache() def synthesize( self, text_file, audio_file_path, quit_after=None, backwards=False ): """ Synthesize the text contained in the given fragment list into a ``wav`` file. Return a tuple ``(anchors, total_time, num_chars)``. :param text_file: the text file to be synthesized :type text_file: :class:`~aeneas.textfile.TextFile` :param string audio_file_path: the path to the output audio file :param float quit_after: stop synthesizing as soon as reaching this many seconds :param bool backwards: if ``True``, synthesizing from the end of the text file :rtype: tuple :raises: TypeError: if ``text_file`` is ``None`` or not an instance of ``TextFile`` :raises: OSError: if ``audio_file_path`` cannot be written :raises: OSError: if ``tts=custom`` in the RuntimeConfiguration and ``tts_path`` cannot be read :raises: ValueError: if the TTS engine has not been set yet """ if text_file is None: self.log_exc(u"text_file is None", None, True, TypeError) if not isinstance(text_file, TextFile): self.log_exc(u"text_file is not an instance of TextFile", None, True, TypeError) if not gf.file_can_be_written(audio_file_path): self.log_exc(u"Audio file path '%s' cannot be written" % (audio_file_path), None, True, OSError) if self.tts_engine is None: self.log_exc(u"Cannot select the TTS engine", None, True, ValueError) # synthesize self.log(u"Synthesizing text...") result = self.tts_engine.synthesize_multiple( text_file=text_file, output_file_path=audio_file_path, quit_after=quit_after, backwards=backwards ) self.log(u"Synthesizing text... done") # check that the output file has been written if not gf.file_exists(audio_file_path): self.log_exc(u"Audio file path '%s' cannot be read" % (audio_file_path), None, True, OSError) return result

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Gerador_de_Senha.py

Jhon-Dx/Program

0

40053

import Gerador_de_senhas.Defs as ge import PySimpleGUI as sg class Gerador: sg.theme('DarkPurple1') def __init__(self): layout = [ [sg.Checkbox('Numeros', key='sonumeros'), sg.Text(size=(3, 1)), sg.Checkbox('Letras', key='soletras'), sg.Text(size=(3, 1)), sg.Checkbox('Simbolos', key='sosimbolos')], [sg.Text('Quantidade de senhas'), sg.Combo(values=list(range(30)), key='totalchars', default_value=1, size=(3, 1))], [sg.Text(size=(11, 3)), sg.Button('Gerar Senha')], [sg.Text('Resultado:', size=(9, 1)), sg.Text(size=(22, 0))], [sg.Output(size=(40, 5))] ] self.janela = sg.Window("Gerador de Senha").layout(layout) def iniciar(self): while True: self.evento, self.values = self.janela.read() com_numeros = self.values['sonumeros'] com_letras = self.values['soletras'] com_simbolos = self.values['sosimbolos'] total_de_caracteres = self.values['totalchars'] if self.evento == sg.WINDOW_CLOSED: break if self.evento == 'Gerar Senha': newsenha = ge.truefalse(com_numeros, com_simbolos, com_letras, total_de_caracteres) print(newsenha) tela = Gerador() tela.iniciar()

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apps/users/views.py

madjaqk/puzzle_master_v2

0

114086

<filename>apps/users/views.py from django.contrib import messages from django.contrib.auth import authenticate, login, logout, update_session_auth_hash from django.contrib.auth.decorators import login_required from django.contrib.auth.forms import AuthenticationForm, UserCreationForm, AdminPasswordChangeForm, PasswordChangeForm from django.contrib.auth.models import User from django.shortcuts import render, redirect from social_django.models import UserSocialAuth from .forms import MyAuthenticationForm def login_page(request): oauth_buttons = [ ("facebook", "users/img/facebook_login.png"), ("twitter", "users/img/sign-in-with-twitter-gray.png"), ("github", "users/img/GitHub_Logo.png"), ] context = { "register_form": UserCreationForm(), "login_form": MyAuthenticationForm(), "oauth_buttons": oauth_buttons } return render(request, "users/login.html", context) def register(request): if request.method != "POST": return redirect("users:login_page") form = UserCreationForm(request.POST) if form.is_valid(): form.save() username = form.cleaned_data.get("username") raw_password = form.cleaned_data.get("<PASSWORD>") user = authenticate(username=username, password=raw_password) login(request, user) return redirect("puzzles:index") # Change this back to puzzles:index !!! else: for field, errors in form.errors.get_json_data().items(): for error in errors: messages.error(request, error["message"]) return redirect("users:login_page") def login_user(request): if request.method != "POST": return redirect("users:login_page") user = authenticate(username=request.POST["username"], password=request.POST["password"]) if user is not None: login(request, user) return redirect("puzzles:index") else: messages.error(request, "Username or password incorrect") return redirect("users:login_page") def logout_user(request): logout(request) return redirect("users:login_page") @login_required def settings(request): user = request.user other_sites = ["github", "twitter", "facebook"] other_site_logins = [] for site in other_sites: try: other_site_logins.append(user.social_auth.get(provider=site)) except UserSocialAuth.DoesNotExist: other_site_logins.append(None) context = {f"{site}_login": site_login for site, site_login in zip (other_sites, other_site_logins)} context["can_disconnect"] = user.social_auth.count() > 1 or user.has_usable_password() return render(request, "users/settings.html", context) @login_required def password(request): if request.user.has_usable_password(): PasswordForm = PasswordChangeForm else: PasswordForm = AdminPasswordChangeForm if request.method == "POST": form = PasswordForm(request.user, request.POST) if form.is_valid(): form.save() update_session_auth_hash(request, form.user) messages.success(request, "Your password was successfully updated!") else: for field, errors in form.errors.get_json_data().items(): for error in errors: messages.error(request, error["message"]) return redirect("users:password") else: form = PasswordForm(request.user) return render(request, "users/password.html", {"form": form}) def privacy(request): return render(request, "users/privacy.html")

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puzzle_captcha/management/commands/load_images.py

MegaMark16/django-puzzle-captcha

4

72464

import os from django.core.management.base import BaseCommand, CommandError from django.core.files.uploadedfile import SimpleUploadedFile from puzzle_captcha.models import Puzzle class Command(BaseCommand): args = '<path_to_images_folder ...>' help = 'Loads all the images from the folder specified into the Puzzle Captcha library' def add_arguments(self, parser): parser.add_argument('path') def handle(self, *args, **options): path = options['path'] files = os.listdir(path) for filename in files: print "Loading %s..." % filename create_puzzle(path, filename) try: pass except Exception as ex: print ex def create_puzzle(directory, filename): puzzle = Puzzle(key='') try: full_file_path = os.path.join(directory, filename) image = open(full_file_path, 'rb')#Image.open(full_file_path) puzzle.image.save(filename, SimpleUploadedFile(filename, image.read(), content_type='image/jpg'), save=True) puzzle.save() except Exception as ex: if puzzle.id: puzzle.delete() print 'An error occurred: %s' % ex

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shareloc/geofunctions/rectification.py

CNES/shareloc

10

197458

<reponame>CNES/shareloc<gh_stars>1-10 #!/usr/bin/env python # coding: utf8 # # Copyright (c) 2022 Centre National d'Etudes Spatiales (CNES). # # This file is part of Shareloc # (see https://github.com/CNES/shareloc). # # 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 contains functions to generate stereo-rectification epipolar grids """ # Standard imports import math # Third party imports import numpy as np import rasterio # Shareloc imports from shareloc.geofunctions.localization import Localization, coloc from shareloc.image import Image def write_epipolar_grid(grid, filename, xy_convention=True): """ Write epipolar grid in a tiff file :param grid: epipolar grid :type grid: shareloc.Image :param filename: output filename :type filename: string :param xy_convention: True: write grid with xy convention : [band 1 = col displacement, band 2 = row displacement] False: write grid with yx convention : [band 1 = row displacement, band 2 = col displacement] :param xy_convention: bool """ band, row, col = grid.data.shape with rasterio.open( filename, "w", driver="GTiff", dtype=np.float64, width=col, height=row, count=band, transform=grid.transform ) as source_ds: if xy_convention: source_ds.write(grid.data[1, :, :], 1) source_ds.write(grid.data[0, :, :], 2) else: source_ds.write(grid.data[0, :, :], 1) source_ds.write(grid.data[1, :, :], 2) def compute_epipolar_angle(end_line, start_line): """ Define the epipolar angle :param end_line: ending of the epipolar line (georeferenced coordinates) :type end_line: 1D np.array [row, col, altitude] or 2D np.array [number of points, [row, col, altitude]] :param start_line: beginning of the epipolar line (georeferenced coordinates) :type start_line: 1D np.array [row, col, altitude] or 2D np.array [number of points, [row, col, altitude]] :return: epipolar angle :rtype : float or 1D np.array """ # Only one point, expand the shape of the array if len(end_line.shape) == 1: end_line = np.expand_dims(end_line, axis=0) start_line = np.expand_dims(start_line, axis=0) # Compute the equation of the epipolar line y = a*x + b and define the epipolare angle alpha = np.zeros(end_line.shape[0]) # Same columns, positive direction same_col_positive = (end_line[:, 1] == start_line[:, 1]) & (end_line[:, 0] > start_line[:, 0]) alpha[same_col_positive] = 0.5 * math.pi # Same columns, negative direction same_col_negative = (end_line[:, 1] == start_line[:, 1]) & (end_line[:, 0] <= start_line[:, 0]) alpha[same_col_negative] = -0.5 * math.pi # Different columns, positive direction diff_col_pos = np.where((end_line[:, 1] != start_line[:, 1]) & (end_line[:, 1] > start_line[:, 1])) slope = (end_line[diff_col_pos[0], 0] - start_line[diff_col_pos[0], 0]) / ( end_line[diff_col_pos[0], 1] - start_line[diff_col_pos[0], 1] ) alpha[diff_col_pos] = np.arctan(slope) # Different columns, negative direction diff_col_neg = np.where((end_line[:, 1] != start_line[:, 1]) & (end_line[:, 1] <= start_line[:, 1])) slope = (end_line[diff_col_neg[0], 0] - start_line[diff_col_neg[0], 0]) / ( end_line[diff_col_neg[0], 1] - start_line[diff_col_neg[0], 1] ) alpha[diff_col_neg[0]] = math.pi + np.arctan(slope) return np.squeeze(alpha) def compute_local_epipolar_line(geom_model_left, geom_model_right, left_point, elevation, elevation_offset): """ Estimate the beginning and the ending of local epipolar line in left image :param geom_model_left: geometric model of the left image :type geom_model_left: shareloc.grid or shareloc.rpc :param geom_model_right: geometric model of the right image :type geom_model_right: shareloc.grid or shareloc.rpc :param left_point: georeferenced coordinates in the left image :type left_point: 1D numpy array : [row coord, col coord, altitude] or 2D numpy array : (number of points, [row coord, col coord, altitude]) :param elevation: elevation :type elevation: shareloc.dtm or float :param elevation_offset: elevation difference used to estimate the local tangent :type elevation_offset: int :return: Coordinates of the beginning and the ending of local epipolar line in the left image :rtype: Tuple(1D np.array [row, col, altitude], 1D numpy array [row, col, altitude]) or Tuple(2D np.array (nb points, [row, col, altitude]), 2D np.array (nb points, [row, col, altitude])) """ # Only one point, expand the shape of the array if len(left_point.shape) == 1: left_point = np.expand_dims(left_point, axis=0) # Right correspondent of the left coordinates right_corr = np.zeros((left_point.shape[0], 3)) right_corr[:, 0], right_corr[:, 1], right_corr[:, 2] = coloc( geom_model_left, geom_model_right, left_point[:, 0], left_point[:, 1], elevation ) ground_elev = np.array(right_corr[:, 2]) # Find the beginning of the epipolar line in the left image, using right correspondent at lower elevation right_corr[:, 2] = ground_elev - elevation_offset epi_line_start = np.zeros((left_point.shape[0], 3)) epi_line_start[:, 0], epi_line_start[:, 1], epi_line_start[:, 2] = coloc( geom_model_right, geom_model_left, right_corr[:, 0], right_corr[:, 1], right_corr[:, 2] ) # Find the ending of the epipolar line in the left image, using right correspondent at higher elevation right_corr[:, 2] = ground_elev + elevation_offset epi_line_end = np.zeros((left_point.shape[0], 3)) epi_line_end[:, 0], epi_line_end[:, 1], epi_line_end[:, 2] = coloc( geom_model_right, geom_model_left, right_corr[:, 0], right_corr[:, 1], right_corr[:, 2] ) return np.squeeze(epi_line_start), np.squeeze(epi_line_end) # pylint: disable=too-many-locals def prepare_rectification(left_im, geom_model_left, geom_model_right, elevation, epi_step, elevation_offset): """ Determine size and spacing of the epipolar grids. Determine size of the epipolare images and the upper-left origin of the stereo-rectified left image (starting point) :param left_im: left image :type left_im: shareloc.image object :param geom_model_left: geometric model of the left image :type geom_model_left: shareloc.grid or shareloc.rpc :param geom_model_right: geometric model of the right image :type geom_model_right: shareloc.grid or shareloc.rpc :param elevation: elevation :type elevation: shareloc.dtm or float :param epi_step: epipolar step :type epi_step: int :param elevation_offset: elevation difference used to estimate the local tangent :type elevation_offset: int :return: return : - epipolar grids spacing (pixel size), 1D np.array [row pixel size, col pixel size] - epipolar grids size, 1D np.array [number of row, number of columns] - epipolar images size, 1D np.array [number of row, number of columns] - epipolar image starting point in the left image, 1D np.array [georef row, georef col, altitude] - epipolar image estimated ending point in the left image, 1D np.array [georef row, georef col, altitude] :rtype: Tuple """ # Choose a square spacing mean_spacing = 0.5 * (abs(left_im.pixel_size_col) + abs(left_im.pixel_size_row)) # Pixel size (spacing) of the epipolar grids, convention [row, col] grid_pixel_size = np.full(shape=2, fill_value=epi_step, dtype=np.float64) grid_pixel_size *= mean_spacing # Georeferenced coordinates of the upper-left origin of left image : [row, col, altitude] origin_row, origin_col = left_im.transform_index_to_physical_point(0, 0) left_origin = np.array([origin_row, origin_col]) # --- Compute the parameters of the local epipolar line at the left image origin --- local_epi_start, local_epi_end = compute_local_epipolar_line( geom_model_left, geom_model_right, left_origin, elevation, elevation_offset ) # 2) Compute epipolar angle using the begin and the end of the left local epipolar line alpha = compute_epipolar_angle(local_epi_end, local_epi_start) # 3) Compute unitary vectors, useful for moving in rows and columns in epipolar geometry # Unit vector tangent to the epipolar line (moving along line) unit_vector_along_epi_x = math.cos(alpha) unit_vector_along_epi_y = math.sin(alpha) # Unit vector orthogonal to epipolar direction (moving to next line) unit_vector_ortho_epi_x = -math.sin(alpha) unit_vector_ortho_epi_y = math.cos(alpha) # 4) Compute the bounding box of the left input image in the epipolar geometry # Coordinates of the 4 corners ulx = 0 uly = 0 urx = unit_vector_along_epi_x * left_im.nb_columns * left_im.pixel_size_col ury = unit_vector_ortho_epi_x * left_im.nb_columns * left_im.pixel_size_col llx = unit_vector_along_epi_y * left_im.nb_rows * left_im.pixel_size_row lly = unit_vector_ortho_epi_y * left_im.nb_rows * left_im.pixel_size_row lrx = ( unit_vector_along_epi_x * left_im.nb_columns * left_im.pixel_size_col + unit_vector_along_epi_y * left_im.nb_rows * left_im.pixel_size_row ) lry = ( unit_vector_ortho_epi_x * left_im.nb_columns * left_im.pixel_size_col + unit_vector_ortho_epi_y * left_im.nb_rows * left_im.pixel_size_row ) # Bounding box minx = min(min(min(urx, llx), lrx), ulx) miny = min(min(min(ury, lly), lry), uly) maxx = max(max(max(urx, llx), lrx), ulx) maxy = max(max(max(ury, lly), lry), uly) # 5) Compute the size of epipolar images rectified_image_size = [int((maxy - miny) / mean_spacing), int((maxx - minx) / mean_spacing)] # 6) Georeferenced coordinates of the upper-left and lower right position of left epipolar image # (starting point, end point) left_epi_origin = [ left_origin[0] + (unit_vector_along_epi_y * minx + unit_vector_ortho_epi_y * miny), left_origin[1] + (unit_vector_along_epi_x * minx + unit_vector_ortho_epi_x * miny), (local_epi_start[2] + local_epi_end[2]) / 2.0, ] left_epi_end = [ left_origin[0] + (unit_vector_along_epi_y * maxx + unit_vector_ortho_epi_y * maxy), left_origin[1] + (unit_vector_along_epi_x * maxx + unit_vector_ortho_epi_x * maxy), (local_epi_start[2] + local_epi_end[2]) / 2.0, ] # 7) Compute the size of the epipolar grids, convention [nb_row, nb_col] grid_size = [int(rectified_image_size[0] / epi_step + 2), int(rectified_image_size[1] / epi_step + 2)] return grid_pixel_size, grid_size, rectified_image_size, left_epi_origin, left_epi_end def get_epipolar_extent( left_im, geom_model_left, geom_model_right, elevation=0.0, epi_step=30.0, elevation_offset=50.0, margin=0.0 ): """ return epipolar footprint using reprojection of epipolar geometry in left image. :param left_im: left image :type left_im: shareloc.image object :param geom_model_left: geometric model of the left image :type geom_model_left: shareloc.grid or shareloc.rpc :param geom_model_right: geometric model of the right image :type geom_model_right: shareloc.grid or shareloc.rpc :param elevation: elevation :type elevation: shareloc.dtm or float :param epi_step: epipolar step :type epi_step: float :param elevation_offset: elevation difference used to estimate the local tangent :type elevation_offset: float :param margin: footprint margin (in degrees) :type margin : float :return extent : [lon_min,lat_min,lon max,lat max] (2D np.array) :rtype numpy.array """ footprint = np.zeros([2, 2]) __, __, __, left_epi_origin, left_epi_end = prepare_rectification( left_im, geom_model_left, geom_model_right, elevation, epi_step, elevation_offset ) footprint[0, :] = left_epi_origin[0:2] footprint[1, :] = left_epi_end[0:2] using_geotransform = False loc_left = Localization(geom_model_left, image=left_im) on_ground_pos = loc_left.direct(footprint[:, 0], footprint[:, 1], 0, using_geotransform=using_geotransform) [lon_min, lat_min, __] = np.min(on_ground_pos, 0) [lon_max, lat_max, __] = np.max(on_ground_pos, 0) return np.array([lat_min - margin, lon_min - margin, lat_max + margin, lon_max + margin]) def initialize_grids(epi_step, nb_row, nb_col): """ Initialize left and right epipolar grids : set geo-transform and zeros data :param epi_step: epipolar step :param nb_row: rows of the grid :param nb_col: columns of the grid :return: left epipolar grid, right epipolar grid :rtype : Tuple(shareloc.Image, shareloc.Image) """ # Initialize left and right epipolar grids left_grid = Image(image_path=None) # Convention : # | col pixel size, row rotation , origin col upper-left| # | col rotation, row pixel size, , origin row upper-left| left_grid_geo_transform = np.array( [epi_step, 0, -(epi_step * 0.5), 0, epi_step, -(epi_step * 0.5)], dtype=np.float64 ) left_grid.set_metadata(nb_row, nb_col, 2, left_grid_geo_transform, datatype=np.float64) right_grid = Image(image_path=None) right_grid_geo_transform = np.array( [epi_step, 0, -(epi_step * 0.5), 0, epi_step, -(epi_step * 0.5)], dtype=np.float64 ) right_grid.set_metadata(nb_row, nb_col, 2, right_grid_geo_transform, datatype=np.float64) return left_grid, right_grid def moving_to_next_line(geom_model_left, geom_model_right, current_line, mean_spacing, elevation, epi_step, alpha): """ Moving to the next line in epipolar geometry :param geom_model_left: geometric model of the left image :type geom_model_left: shareloc.grid or shareloc.rpc :param geom_model_right: geometric model of the right image :type geom_model_right: shareloc.grid or shareloc.rpc :param current_line: current line in the left epipolar geometry :type current_line: 1D np.array [row, col, altitude] :param mean_spacing: mean spacing of epipolar grids :type mean_spacing: int :param elevation: elevation :type elevation: shareloc.dtm or float :param epi_step: epipolar step :type epi_step: int :param alpha: epipolar angle :type alpha: float :return: left and right coordinates of the next line in epioplar geometry :rtype: Tuple([row, col, altitude], [row, col, altitude]) """ # Find the start of next line in epipolar geometry # Unit vector orthogonal to epipolar direction unit_vector_ortho_epi_y = epi_step * mean_spacing * math.cos(alpha) unit_vector_ortho_epi_x = -1 * mean_spacing * epi_step * math.sin(alpha) next_line_start_left = np.zeros(3, dtype=np.float64) next_line_start_left[0] = np.copy(current_line[0]) + unit_vector_ortho_epi_y next_line_start_left[1] = np.copy(current_line[1]) + unit_vector_ortho_epi_x # Find the corresponding starting point in the right image next_line_start_right = np.zeros(3, dtype=np.float64) next_line_start_right[0], next_line_start_right[1], next_line_start_right[2] = coloc( geom_model_left, geom_model_right, next_line_start_left[0], next_line_start_left[1], elevation ) return next_line_start_left, next_line_start_right def moving_along_lines( geom_model_left, geom_model_right, current_left_coords, mean_spacing, elevation, epi_step, alphas ): """ Determine the position of next pixels in the epipolare lines :param geom_model_left: geometric model of the left image :type geom_model_left: shareloc.grid or shareloc.rpc :param geom_model_right: geometric model of the right image :type geom_model_right: shareloc.grid or shareloc.rpc :param current_left_coords: current georeferenced coordinates in left epipolare line :type current_left_coords: 2D numpy array (number rows in epipolar geometry, [row, col, altitude]) :param mean_spacing: mean spacing of epipolar grids :type mean_spacing: int :param elevation: elevation :type elevation: shareloc.dtm or float :param epi_step: epipolar step :type epi_step: int :param alphas: epipolar angles of each local epipolar lines :type alphas: List :return: coordinates of next pixels in left epipolar line, coordinates of next pixels in right epipolar line :rtype: Tuple(2D numpy array (number rows in epipolar geometry, [row, col, altitude]), 2D numpy array (number rows in epipolar geometry, [row, col, altitude])) """ # Determine position of next pixels in the epipolar line of the left image (moving along lines) # Unit vector tangent to the epipolar line unit_vector_along_epi_y = epi_step * mean_spacing * np.sin(alphas) unit_vector_along_epi_x = epi_step * mean_spacing * np.cos(alphas) # Move to the next pixels in left image next_left_coords = np.copy(current_left_coords) next_left_coords[:, 0] += unit_vector_along_epi_y next_left_coords[:, 1] += unit_vector_along_epi_x # Find the corresponding next pixels in the right image next_right_coords = np.zeros(next_left_coords.shape, dtype=next_left_coords.dtype) next_right_coords[:, 0], next_right_coords[:, 1], next_right_coords[:, 2] = coloc( geom_model_left, geom_model_right, next_left_coords[:, 0], next_left_coords[:, 1], elevation ) return next_left_coords, next_right_coords # disable for api symmetry between left and right data # pylint: disable=unused-argument # pylint: disable=too-many-locals def compute_stereorectification_epipolar_grids( left_im, geom_model_left, right_im, geom_model_right, elevation=0.0, epi_step=1, elevation_offset=50.0 ): """ Compute stereo-rectification epipolar grids :param left_im: left image :type left_im: shareloc.image object :param geom_model_left: geometric model of the left image :type geom_model_left: shareloc.grid or shareloc.rpc :param right_im: right image :type right_im: shareloc.image object :param geom_model_right: geometric model of the right image :type geom_model_right: shareloc.grid or shareloc.rpc :param elevation: elevation :type elevation: shareloc.dtm or float :param epi_step: epipolar step :type epi_step: int :param elevation_offset: elevation difference used to estimate the local tangent :type elevation_offset: float :return: return : - left epipolar grid, shareloc.image object convention [[row displacement, col displacement], nb rows, nb cols] - right epipolar grid, shareloc.image object convention [[row displacement, col displacement], nb rows, nb cols] - number of rows of the epipolar image, int - number of columns of the epipolar image, int - mean value of the baseline to sensor altitude ratio, float :rtype: Tuple """ # Retrieve grids : spacing (pixel size) and size # Retrieve epipolar image : size and upper-left origin in the left image geometry (starting point) __, grid_size, rectified_image_size, left_epi_origin, __ = prepare_rectification( left_im, geom_model_left, geom_model_right, elevation, epi_step, elevation_offset ) # Use the mean spacing as before mean_spacing = 0.5 * (abs(left_im.pixel_size_col) + abs(left_im.pixel_size_row)) left_grid, right_grid = initialize_grids(epi_step, grid_size[0], grid_size[1]) # Starting points are the upper-left origin of the left epipolar image, and it's correspondent in the right image start_left = np.copy(left_epi_origin) start_right = np.zeros(3, dtype=start_left.dtype) start_right[0], start_right[1], start_right[2] = coloc( geom_model_left, geom_model_right, start_left[0], start_left[1], elevation ) mean_baseline_ratio = 0 # Compute the starting point of each epipolar line to be able to move along the lines (useful to vectorize the code) # Georeferenced coordinates of each starting epipolar lines in left and right image left_epi_lines = [np.copy(start_left)] right_epi_lines = [np.copy(start_right)] # For each rows of the epipolar geometry, define left and right starting coordinates of each epipolar lines for __ in range(grid_size[0] - 1): # --- Compute left local epipolar line, useful for moving to the next line --- local_epi_start, local_epi_end = compute_local_epipolar_line( geom_model_left, geom_model_right, left_epi_lines[-1], elevation, elevation_offset ) # epipolar angle using the begin and the end of the left local epipolar line alpha = compute_epipolar_angle(local_epi_end, local_epi_start) # Find the start of next line in epipolar geometry next_epi_line_left, next_epi_line_right = moving_to_next_line( geom_model_left, geom_model_right, left_epi_lines[-1], mean_spacing, elevation, epi_step, alpha ) # Save the starting points, useful to be able to move along the lines in the next loop left_epi_lines.append(np.copy(next_epi_line_left)) right_epi_lines.append(np.copy(next_epi_line_right)) # Left and right epipolar coordinates of the current point left_epi_coords = np.array(left_epi_lines) right_epi_coords = np.array(right_epi_lines) # Moving along epipolar lines rows = np.arange(grid_size[0]) for col in range(grid_size[1]): # Estimate the displacement values of the current pixels # Cast grid index to georeferenced grid coordinates current_left_grid = left_grid.transform_index_to_physical_point(rows, np.repeat(col, rows.shape[0])) current_right_grid = right_grid.transform_index_to_physical_point(rows, np.repeat(col, rows.shape[0])) left_grid.data[0, :, col] = left_epi_coords[:, 0] - current_left_grid[0] left_grid.data[1, :, col] = left_epi_coords[:, 1] - current_left_grid[1] right_grid.data[0, :, col] = right_epi_coords[:, 0] - current_right_grid[0] right_grid.data[1, :, col] = right_epi_coords[:, 1] - current_right_grid[1] # Compute left local epipolar line, useful to estimate the local baseline ratio and moving to the next pixels local_epi_start, local_epi_end = compute_local_epipolar_line( geom_model_left, geom_model_right, left_epi_coords, elevation, elevation_offset ) # Estimate the local baseline ratio local_baseline_ratio = np.sqrt( (local_epi_end[:, 1] - local_epi_start[:, 1]) * (local_epi_end[:, 1] - local_epi_start[:, 1]) + (local_epi_end[:, 0] - local_epi_start[:, 0]) * (local_epi_end[:, 0] - local_epi_start[:, 0]) ) / (2 * elevation_offset) mean_baseline_ratio += np.sum(local_baseline_ratio) # epipolar angle using the begin and the end of the left local epipolar lines alphas = compute_epipolar_angle(local_epi_end, local_epi_start) # Move to the next pixels in the epipolar line (moving along lines) left_epi_coords, right_epi_coords = moving_along_lines( geom_model_left, geom_model_right, left_epi_coords, mean_spacing, elevation, epi_step, alphas ) # Compute the mean baseline ratio mean_baseline_ratio /= grid_size[0] * grid_size[1] return left_grid, right_grid, rectified_image_size[0], rectified_image_size[1], mean_baseline_ratio

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logical_backup/pretty_print.py

ammesonb/logical-backup

0

1611141

<gh_stars>0 """ Some pretty-printing stuff """ from __future__ import annotations from enum import Enum CHECK_UNICODE = "\u2714" CROSS_UNICODE = "\u274c" class Color(Enum): """ Contains foreground colors for the command line """ BLACK = "\033[30m" RED = "\033[31m" PURPLE = "\033[35m" CYAN = "\033[36m" ERROR = "\033[91m" # Salmon-ish GREEN = "\033[92m" YELLOW = "\033[93m" BLUE = "\033[94m" MAGENTA = "\033[95m" WHITE = "\033[95m" class Background(Enum): """ Contains background colors for the command line """ BLACK = "\033[40m" RED = "\033[41m" GREEN = "\033[42m" YELLOW = "\033[43m" BLUE = "\033[44m" PURPLE = "\033[45m" CYAN = "\033[46m" WHITE = "\033[47m" class Format(Enum): """ Contains text formatting options """ END = "\033[0m" BOLD = "\033[1m" DIM = "\033[2m" UNDERLINE = "\033[4m" HIDDEN = "\033[8m" def get_success_prefix(succeeded: bool = None) -> str: """ Returns a padded string indicating success Check for True, Cross for False, spaces for None """ if succeeded is None: string = " " elif succeeded: # The check has a smaller width than the cross, so pad it string = CHECK_UNICODE + " " else: string = CROSS_UNICODE return string def print_error(message: str) -> None: """ Prints an error message """ PrettyStatusPrinter(message).with_specific_color(Color.ERROR).print_message() # pylint: disable=too-many-instance-attributes class PrettyStatusPrinter: """ Prints status messages, prettily """ def __init__(self, message: str): """ . """ self.__with_ellipsis = True self.__specific_color = None self.__result_colors = {True: Color.GREEN, False: Color.ERROR} self.__message_postfix = {True: "Completed", False: "Failed"} self.__results = {None: None, True: True, False: False} self.__background_color = None self.__styles = [] self.__message = message self.__line_ending = "\n" self.__started = False def __get_styled_message(self, result=None) -> str: """ Returns the styled message Needs to know success status to resolve color correctly """ styled_message = "" if self.__specific_color: styled_message += self.__specific_color.value elif result is not None: styled_message += ( self.__result_colors[result].value if result in self.__result_colors else self.__result_colors[self.__results[result]].value ) if self.__background_color: styled_message += self.__background_color.value if self.__styles: for style in self.__styles: styled_message += style.value styled_message += get_success_prefix(result) styled_message += self.__message if self.__started and self.__with_ellipsis: styled_message += "..." styled_message += self.__message_postfix.get( result, self.__message_postfix.get(self.__results[result], "") ) styled_message += Format.END.value return styled_message def with_custom_result(self, result, is_success: bool) -> PrettyStatusPrinter: """ Allow custom result responses Requires definition of whether it is a "success" or not DO NOT USE "0" or "1" AS VALUES - THEY WILL COLLIDE WITH TRUE/FALSE """ self.__results[result] = is_success return self def with_ellipsis(self, include: bool = True) -> PrettyStatusPrinter: """ Include ellipsis on start, or not """ self.__with_ellipsis = include return self def with_specific_color(self, color: Color) -> PrettyStatusPrinter: """ Always print in this color """ self.__specific_color = color return self # pylint: disable=bad-continuation def with_color_for_result(self, result, color: Color) -> PrettyStatusPrinter: """ Sets the output color for a given response """ self.__result_colors[result] = color return self def with_message_postfix_for_result( self, result, postfix: str ) -> PrettyStatusPrinter: """ Adds message postfix for for given result, e.g. "failed to do X" or "Y happened" """ self.__message_postfix[result] = postfix return self def with_background_color(self, background: Background) -> PrettyStatusPrinter: """ Sets the background color """ self.__background_color = background return self def with_line_ending(self, line_ending: str) -> PrettyStatusPrinter: """ Sets the line ending to print """ self.__line_ending = line_ending return self def with_styles(self, styles: list) -> PrettyStatusPrinter: """ Sets styles to print the message with """ self.__styles += styles return self def print_message(self, to_overwrite: bool = False, result=None) -> None: """ Prints the message If to overwrite, will use a carriage return instead of newline Succeeded can also be specified, to pass through for formatting """ line_ending = "\r" if to_overwrite else self.__line_ending print(self.__get_styled_message(result), end=line_ending, flush=True) def print_start(self) -> PrettyStatusPrinter: """ Prints the starting message """ self.__started = True self.print_message(True) return self def print_complete(self, succeeded: bool = True): """ Print the completed message, for a given success status """ self.print_message(result=succeeded) def readable_bytes(size: int, suffix: str = "B") -> str: """ Prints size of file Parameters ---------- size : int Bytes to format suffix='B' : str What to print after the SI prefix """ for unit in ["", "Ki", "Mi", "Gi", "Ti", "Pi", "Ei", "Zi"]: if abs(size) < 1024.0: return "%3.1f%s%s" % (size, unit, suffix) size /= 1024.0 return "%.1f%s%s" % (size, "Yi", suffix)

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courses/data_analysis/deepdive/composer-exercises/subdag_example_solution.py

pranaynanda/training-data-analyst

0

26650

"""Solution for subdag_example.py. Uses a factory function to return a DAG that can be used as the subdag argument to SubDagOperator. Notice that: 1) the SubDAG's dag_id is formatted as parent_dag_id.subdag_task_id 2) the start_date and schedule_interval of the SubDAG are copied from the parent DAG. """ from airflow import DAG from airflow.contrib.operators.gcs_download_operator import GoogleCloudStorageDownloadOperator from airflow.operators.bash_operator import BashOperator from airflow.operators.dummy_operator import DummyOperator from airflow.operators.subdag_operator import SubDagOperator from datetime import datetime, timedelta YESTERDAY = datetime.combine(datetime.today() - timedelta(days=1), datetime.min.time()) default_args = { 'owner': 'airflow', 'depends_on_past': False, 'start_date': YESTERDAY, 'email_on_failure': False, 'email_on_retry': False, 'retries': 1, 'retry_delay': timedelta(minutes=5), } def shakespeare_subdag(parent_dag, subdag_task_id, play_name): with DAG('{}.{}'.format(parent_dag.dag_id, subdag_task_id), schedule_interval=parent_dag.schedule_interval, start_date=parent_dag.start_date, default_args=parent_dag.default_args) as subdag: download = GoogleCloudStorageDownloadOperator( task_id='download', bucket='smenyc2018-subdag-data', object='{}.enc'.format(play_name), filename='/home/airflow/gcs/data/{}.enc'.format(play_name)) decrypt = BashOperator( task_id='decrypt', bash_command= 'openssl enc -in /home/airflow/gcs/data/{play_name}.enc ' '-out /home/airflow/gcs/data/{play_name}.txt -d -aes-128-cbc -k "hello-nyc"' .format(play_name=play_name)) wordcount = BashOperator( task_id='wordcount', bash_command= 'wc -w /home/airflow/gcs/data/{play_name}.txt | tee /home/airflow/gcs/data/{play_name}_wordcount.txt' .format(play_name=play_name)) download >> decrypt >> wordcount return subdag with DAG('subdag_example_solution', default_args=default_args, catchup=False) as dag: start = DummyOperator(task_id='start') start >> SubDagOperator(task_id='process_romeo', subdag=shakespeare_subdag(dag, 'process_romeo', 'romeo')) start >> SubDagOperator(task_id='process_othello', subdag=shakespeare_subdag(dag, 'process_othello', 'othello')) start >> SubDagOperator(task_id='process_hamlet', subdag=shakespeare_subdag(dag, 'process_hamlet', 'hamlet')) start >> SubDagOperator(task_id='process_macbeth', subdag=shakespeare_subdag(dag, 'process_macbeth', 'macbeth'))

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core-python/Core_Python/exception/ExceptionMethods.py

theumang100/tutorials-1

9

140078

<filename>core-python/Core_Python/exception/ExceptionMethods.py ''' e. and use all methods ''' ''' also try different exception like java file,array,string,numberformat ''' ''' user define exception ''' try: raise Exception('spam,','eggs') except Exception as inst: print("Type of instance : ",type(inst)) # the exception instance print("Arguments of instance : ",inst.args) # arguments stored in .args print("Instance print : ",inst) # __str__ allows args to be printed directly,but may be overridden in exception subclasses a,b = inst.args # unpack args print("a : ",a) print("b : ",b)

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DB_Repository_Subscriber.py

twelveand0/github-crawler

3

1610771

#!/usr/bin/python # -*- coding: UTF-8 -*- import github import db_operation import datetime class DB_Repository_Subscriber: """ This class represents DB_Repository_Subscriber as a class describles subscription-ship between \ github.Repository.Repository and github.NamedUser.NamedUser """ repo = None subscriber = None db = None table = "Repository_Subscriber" def __init__(self, repo, subscriber, db): self.repo = repo self.subscriber = subscriber self.db = db def open_if_connection_closed(self): try: if self.db is None: return False if self.db.open == 0: self.db = db_operation.connect_to_db_simple() if self.db is None: return False return True except Exception, e: print e return False def save(self): try: if self.open_if_connection_closed() == False: return False if self.exist(): return True sql = "insert into %s (%s, %s) values (%d, %d)"%(self.table, "repository", "subscriber", self.repo.id, self.subscriber.id) cursor = self.db.cursor() cursor.execute(sql) self.db.commit() return True except Exception as e: print e return False def exist(self): try: if self.open_if_connection_closed() == False: return False cursor = self.db.cursor() sql = "select count(*) from %s where repository=%d && subscriber=%d;"%(self.table, self.repo.id, self.subscriber.id) cursor.execute(sql) result = cursor.fetchall() if result[0][0] == 0: return False return True except Exception as e: print e return False

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tests/auto/bindings/python/moleculetest.py

quizzmaster/chemkit

34

103884

<filename>tests/auto/bindings/python/moleculetest.py<gh_stars>10-100 ############################################################################### ## ## Copyright (C) 2009-2012 <NAME> <<EMAIL>> ## All rights reserved. ## ## This file is a part of the chemkit project. For more information ## see <http://www.chemkit.org>. ## ## 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 chemkit project nor the names of its ## contributors may be used to endorse or promote products derived ## from this software without specific prior written permission. ## ## THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ## "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT ## LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR ## A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT ## OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, ## SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT ## LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, ## DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY ## THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT ## (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE ## OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ## ############################################################################### import chemkit import unittest class MoleculeTest(unittest.TestCase): def test_atom(self): molecule = chemkit.Molecule() C1 = molecule.addAtom("C") self.assertEqual(C1.atomicNumber(), 6) C2 = molecule.addAtom(6) self.assertEqual(C2.atomicNumber(), 6) C3 = molecule.addAtom(chemkit.Atom.Carbon) self.assertEqual(C3.atomicNumber(), 6) self.assertEqual(molecule.atomCount(), 3) self.assertEqual(molecule.formula(), "C3") def test_bond(self): molecule = chemkit.Molecule() self.assertEqual(molecule.bondCount(), 0) C1 = molecule.addAtom("C") C2 = molecule.addAtom("C") C3 = molecule.addAtom("C") C1_C2 = molecule.addBond(C1, C2) self.assertEqual(molecule.bondCount(), 1) C2_C3 = molecule.addBond(C2, C3, 2) self.assertEqual(molecule.bondCount(), 2) self.assertEqual(C2_C3.order(), 2) def test_formula(self): # empty molecule empty = chemkit.Molecule() self.assertEqual(empty.formula(), "") # ethanol molecule ethanol = chemkit.Molecule() C1 = ethanol.addAtom("C") C2 = ethanol.addAtom("C") O3 = ethanol.addAtom("O") ethanol.addBond(C1, C2) ethanol.addBond(C2, O3) for atom in ethanol.atoms(): while(atom.formalCharge() < 0): hydrogen = ethanol.addAtom("H") ethanol.addBond(atom, hydrogen) self.assertEqual(ethanol.formula(), "C2H6O") def test_rings(self): # benzene molecule benzene = chemkit.Molecule("c1ccccc1", "smiles") self.assertEqual(benzene.formula(), "C6H6") self.assertEqual(benzene.ringCount(), 1) ring = benzene.ring(0) self.assertEqual(ring.size(), 6) if __name__ == '__main__': unittest.main()

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ckan_cloud_operator/drivers/kubectl/driver.py

MuhammadIsmailShahzad/ckan-cloud-operator

14

32763

from ckan_cloud_operator import kubectl def get(what, *args, required=True, namespace=None, get_cmd=None, **kwargs): return kubectl.get(what, *args, required=required, namespace=namespace, get_cmd=get_cmd, **kwargs)

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python/testData/resolve/multiFile/keywordArgument/KeywordArgument.py

jnthn/intellij-community

2

1616609

from a import A print(A()) # <ref>

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python/database/recover_database.py

coreyjadams/harvard_production

0

1616918

#!/usr/bin/env python import glob import os from database import DBUtil # This script traverses a list of files and recovers the sqlite3 database # It's not meant as a permanent solution, just a quick fix to a problem # that should go away soon. def recover_stage(top_dir, stage_name, dataset_name, root_pattern, ana_pattern, job_id, db_file): db = DBUtil(db_file) # walk through the directory list print("Search pattern: " + top_dir + "/{0}_*/".format(job_id)) list_of_directories = glob.glob(top_dir + "/{0}.*/".format(job_id)) print("Found {0} directories".format(len(list_of_directories))) for _dir in list_of_directories: # Get the root files and ana files: root_file = glob.glob(_dir + root_pattern) ana_file = glob.glob(_dir + ana_pattern) if len(root_file) < 1: print "Continuing" continue else: root_file = root_file[0] db.declare_file(dataset=dataset_name, filename=os.path.basename(root_file), location=_dir, stage=stage_name, status = 0, ftype=0, nevents=100) if len(ana_file) < 1: print "Continuing" continue else: ana_file = ana_file[0] db.declare_file(dataset=dataset_name, filename=os.path.basename(ana_file), location=_dir, stage=stage_name, status = 0, ftype=1, nevents=100) if __name__ == "__main__": top_dir = "/n/holylfs/LABS/guenette_lab/data/production/mcc8.6/single_pion/generation/" stage_name = "generation" dataset_name = "mcc8.6_single_pion" root_pattern = "prod_pions_0-2.0GeV_isotropic_uboone*_reco2.root" ana_pattern = "reco_stage_2_hist.root" job_id = 36597655 db_file = "/n/holylfs/LABS/guenette_lab/data/production/mcc8.6/single_pion/work/mcc8.6_single_pion.db" recover_stage(top_dir=top_dir, stage_name=stage_name, dataset_name=dataset_name, root_pattern = root_pattern, ana_pattern = ana_pattern, job_id = job_id, db_file = db_file)

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openstack_dashboard/dashboards/admin/group_types/specs/tests.py

nicozhang/horizon

1

84844

<gh_stars>1-10 # 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 django.urls import reverse from openstack_dashboard import api from openstack_dashboard.test import helpers as test class GroupTypeSpecTests(test.BaseAdminViewTests): @test.create_mocks({api.cinder: ('group_type_spec_list', 'group_type_get')}) def test_list_specs_when_none_exists(self): group_type = self.cinder_group_types.first() specs = [api.cinder.GroupTypeSpec(group_type.id, 'k1', 'v1')] self.mock_group_type_get.return_value = group_type self.mock_group_type_spec_list.return_value = specs url = reverse('horizon:admin:group_types:specs:index', args=[group_type.id]) resp = self.client.get(url) self.assertEqual(resp.status_code, 200) self.assertTemplateUsed(resp, "admin/group_types/specs/index.html") self.mock_group_type_get.assert_called_once_with( test.IsHttpRequest(), group_type.id) self.mock_group_type_spec_list.assert_called_once_with( test.IsHttpRequest(), group_type.id) @test.create_mocks({api.cinder: ('group_type_spec_list', 'group_type_get')}) def test_specs_view_with_exception(self): group_type = self.cinder_group_types.first() self.mock_group_type_get.return_value = group_type self.mock_group_type_spec_list.side_effect = self.exceptions.cinder url = reverse('horizon:admin:group_types:specs:index', args=[group_type.id]) resp = self.client.get(url) self.assertEqual(len(resp.context['specs_table'].data), 0) self.assertMessageCount(resp, error=1) self.mock_group_type_get.assert_called_once_with( test.IsHttpRequest(), group_type.id) self.mock_group_type_spec_list.assert_called_once_with( test.IsHttpRequest(), group_type.id) @test.create_mocks({api.cinder: ('group_type_spec_list', 'group_type_spec_set', )}) def test_spec_create_post(self): group_type = self.cinder_group_types.first() create_url = reverse( 'horizon:admin:group_types:specs:create', args=[group_type.id]) index_url = reverse( 'horizon:admin:group_types:index') data = {'key': u'k1', 'value': u'v1'} self.mock_group_type_spec_set.return_value = None resp = self.client.post(create_url, data) self.assertNoFormErrors(resp) self.assertMessageCount(success=1) self.assertRedirectsNoFollow(resp, index_url) self.mock_group_type_spec_set.assert_called_once_with( test.IsHttpRequest(), group_type.id, {data['key']: data['value']}) @test.create_mocks({api.cinder: ('group_type_get', )}) def test_spec_create_get(self): group_type = self.cinder_group_types.first() create_url = reverse( 'horizon:admin:group_types:specs:create', args=[group_type.id]) self.mock_group_type_get.return_value = group_type resp = self.client.get(create_url) self.assertEqual(resp.status_code, 200) self.assertTemplateUsed( resp, 'admin/group_types/specs/create.html') self.mock_group_type_get.assert_called_once_with( test.IsHttpRequest(), group_type.id) @test.create_mocks({api.cinder: ('group_type_spec_list', 'group_type_spec_set',)}) def test_spec_edit(self): group_type = self.cinder_group_types.first() key = 'foo' edit_url = reverse('horizon:admin:group_types:specs:edit', args=[group_type.id, key]) index_url = reverse('horizon:admin:group_types:index') data = {'value': u'v1'} specs = {key: data['value']} self.mock_group_type_spec_list.return_value = specs self.mock_group_type_spec_set.return_value = None resp = self.client.post(edit_url, data) self.assertNoFormErrors(resp) self.assertMessageCount(success=1) self.assertRedirectsNoFollow(resp, index_url) self.mock_group_type_spec_list.assert_called_once_with( test.IsHttpRequest(), group_type.id, raw=True) self.mock_group_type_spec_set.assert_called_once_with( test.IsHttpRequest(), group_type.id, specs) @test.create_mocks({api.cinder: ('group_type_spec_list', 'group_type_spec_unset')}) def test_spec_delete(self): group_type = self.cinder_group_types.first() specs = [api.cinder.GroupTypeSpec(group_type.id, 'k1', 'v1')] formData = {'action': 'specs__delete__k1'} index_url = reverse('horizon:admin:group_types:specs:index', args=[group_type.id]) self.mock_group_type_spec_list.return_value = specs self.mock_group_type_spec_unset.return_value = group_type res = self.client.post(index_url, formData) redirect = reverse('horizon:admin:group_types:index') self.assertNoFormErrors(res) self.assertRedirectsNoFollow(res, redirect) self.mock_group_type_spec_list.assert_called_once_with( test.IsHttpRequest(), group_type.id) self.mock_group_type_spec_unset.assert_called_once_with( test.IsHttpRequest(), group_type.id, ['k1'])

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update.py

spascou/ps2.liquidwarp.net

4

81990

<gh_stars>1-10 import os from typing import Optional from generate import ( clean_bucket, clean_site, copy_misc, copy_statics, generate_css, generate_pages, update_all_data_files, upload_to_bucket, ) BUCKET_NAME = "ps2.liquidwarp.net" CENSUS_SERVICE_ID: Optional[str] = os.environ.get("CENSUS_SERVICE_ID") if not CENSUS_SERVICE_ID: raise ValueError("No CENSUS_SERVICE_ID envvar found") if __name__ == "__main__": import argparse parser = argparse.ArgumentParser() # Main action_group = parser.add_mutually_exclusive_group(required=True) action_group.add_argument("--update", action="store_true") action_group.add_argument("--upload", action="store_true") action_group.add_argument("--generate", action="store_true") action_group.add_argument("--copy-statics", action="store_true") action_group.add_argument("--copy-misc", action="store_true") action_group.add_argument("--generate-css", action="store_true") action_group.add_argument("--clean-local", action="store_true") action_group.add_argument("--clean-remote", action="store_true") # Other parser.add_argument("--no-simulations", action="store_true") parser.add_argument("--upload-prefix", type=str, default="") # Parse args = parser.parse_args() # Run if args.update or args.clean_local: clean_site() if args.update or args.generate or args.generate_css: generate_css() if args.update or args.generate: update_all_data_files(census_service_id=CENSUS_SERVICE_ID) generate_pages(update_simulations=not args.no_simulations) if args.update or args.generate or args.copy_statics: copy_statics() if args.update or args.generate or args.copy_misc: copy_misc() if args.clean_remote: clean_bucket(bucket_name=BUCKET_NAME) if args.update or args.upload: upload_to_bucket(bucket_name=BUCKET_NAME, prefix=args.upload_prefix)

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examples/example2.py

robinechuca/ContextPrinter

1

180408

#!/usr/bin/env python3 """ Example of a section shared between several methods and modules. Example2 is doing stuff █ Example1 is starting to do stuff █ █ Example1 is done doing stuff █ Example2 is done doing stuff """ from context_printer import ContextPrinter as Ctp from example1 import Example1 class Example2: def __init__(self): self.sub_routine = None def start_stuff(self): Ctp.enter_section("Example2 is doing stuff", color='blue') self.sub_routine = Example1() self.sub_routine.start_stuff() def end_stuff(self): self.sub_routine.end_stuff() Ctp.print("Example2 is done doing stuff") Ctp.exit_section() if __name__ == '__main__': ex = Example2() ex.start_stuff() ex.end_stuff()

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code/test.py

saedrna/DA-U-Net

7

135560

<gh_stars>1-10 # -*- coding: utf-8 -*- """ Created on Mon Jan 14 2020 @author: Chenlin """ import os import cv2 import numpy as np import tensorflow as tf from model import da_u_net # os.environ["CUDA_VISIBLE_DEVICES"] = "3" # if test image size= 512* 512, size= 512 over_lap= 0 # if test image size=1024*1024, size=1024 over_lap= 0 # if test image size>1024*1024, size= 512 over_lap=256 batch_size=1 size = 512 over_lap = 256 img=tf.placeholder(tf.float32,[batch_size,size,size,3]) pred = tf.nn.sigmoid(da_u_net(img,is_training=False)) saver = tf.train.Saver(var_list=tf.global_variables()) img_path = '../data/img/test.tif' pre_path = '../results/pre.tif' def restore_model(): tf.global_variables_initializer().run() checkpoint_dir = '../data/checkpoint/' ckpt = tf.train.get_checkpoint_state(checkpoint_dir) if ckpt and ckpt.model_checkpoint_path: ckpt_name = os.path.basename(ckpt.model_checkpoint_path) saver.restore(sess, os.path.join(checkpoint_dir, ckpt_name)) def total_image_predict(ori_image_path): restore_model() print('Loading Checkpoint Success !') ori_image = np.uint8(cv2.imread(ori_image_path)) print(ori_image.shape) ori_image = ori_image[..., 0:3] print(ori_image.shape) print('Start to cutting {}'.format(ori_image_path)) image_list = [] predict_list = [] oh,ow=ori_image.shape[0],ori_image.shape[1] dert=size-over_lap h_n=(oh - size) // dert h_step=h_n+1 w_n=(ow - size) // dert w_step=w_n+1 h_rest=oh-size-h_n*dert w_rest=ow-size-w_n*dert for h in range(h_step): for w in range(w_step): image_sample=ori_image[(h * dert):(h * dert + size), (w * dert):(w * dert + size), :] image_list.append(image_sample) image_list.append(ori_image[(h * dert):(h * dert + size), -size:, :]) for w in range(w_step): image_list.append(ori_image[-size:, (w * dert):(w * dert + size), :]) image_list.append(ori_image[-size:, -size:, :]) print(len(image_list)) print('Start to predict {}'.format(ori_image_path)) for x_batch1 in image_list: x_batch = np.expand_dims(x_batch1, axis=0) / 255.0 predict = sess.run(pred, feed_dict={img: x_batch}) predict = np.squeeze(predict) predict[predict > 0.5] = 1 predict[predict <= 0.5] = 0 predict_list.append(predict) count_temp = 0 tmp = np.ones([ori_image.shape[0], ori_image.shape[1]]).astype(np.uint8) big_w = size - over_lap // 2 small_w=over_lap//2 print('Start to cut {}'.format(ori_image_path)) for h in range(h_step): for w in range(w_step): if h==0 or h==h_step-1: dh=size-over_lap//2 else: dh=dert if w==0 or w==w_step-1: dw=size-over_lap//2 else: dw=dert tmp[(h-1) * over_lap+(big_w if h>0 else over_lap):(h-1) * over_lap+(big_w if h>0 else over_lap)+dh, (w-1)* over_lap+(big_w if w>0 else over_lap):(w-1)* over_lap+(big_w if w>0 else over_lap)+dw] \ = predict_list[count_temp][small_w*int(h>0):dh+small_w*int(h>0),small_w*int(w>0):dw+small_w*int(w>0)] count_temp += 1 tmp[(h-1) * over_lap + (big_w if h>0 else over_lap):(h-1) * over_lap + (big_w if h>0 else over_lap)+dh, -w_rest:] \ = predict_list[count_temp][small_w if h>0 else 0:(small_w if h>0 else 0)+dh, -w_rest:] count_temp += 1 for w in range(w_step): tmp[-h_rest:, (w-1) * over_lap + (big_w if h>0 else over_lap):(w-1) * over_lap + (big_w if h>0 else over_lap)+dw] \ = predict_list[count_temp][-h_rest:,small_w if w>0 else 0:+(small_w if w>0 else 0)+dw] count_temp += 1 tmp[-h_rest:, -w_rest:] = predict_list[count_temp][-h_rest:, -w_rest:] tmp[tmp==1]=255 cv2.imwrite(pre_path, tmp) with tf.Session() as sess: total_image_predict(img_path)

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examples/wait_for_tokens.py

tarunbhardwaj/limitlion

17

169539

<filename>examples/wait_for_tokens.py<gh_stars>10-100 #!/usr/bin/env python """ Waiting throttle example. Uses the throttle_wait helper that will sleep until work is allowed. """ import datetime import redis from limitlion import throttle_configure, throttle_wait redis = redis.Redis('localhost', 6379) throttle_configure(redis) throttle = throttle_wait('test_wait', rps=5) while True: # May sleep forever if tokens never become available throttle() print('{} Doing work'.format(datetime.datetime.now()))

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hio-yocto-bsp/sources/poky/scripts/lib/mic/3rdparty/pykickstart/commands/group.py

qiangzai00001/hio-prj

0

101839

# # <NAME> <<EMAIL>> # # Copyright 2009 Red Hat, Inc. # # This copyrighted material is made available to anyone wishing to use, modify, # copy, or redistribute it subject to the terms and conditions of the GNU # General Public License v.2. This program is distributed in the hope that it # will be useful, but WITHOUT ANY WARRANTY expressed or implied, including the # implied warranties of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. # See the GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along with # this program; if not, write to the Free Software Foundation, Inc., 51 # Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. Any Red Hat # trademarks that are incorporated in the source code or documentation are not # subject to the GNU General Public License and may only be used or replicated # with the express permission of Red Hat, Inc. # from pykickstart.base import * from pykickstart.constants import * from pykickstart.errors import * from pykickstart.options import * import gettext import warnings _ = lambda x: gettext.ldgettext("pykickstart", x) class F12_GroupData(BaseData): removedKeywords = BaseData.removedKeywords removedAttrs = BaseData.removedAttrs def __init__(self, *args, **kwargs): BaseData.__init__(self, *args, **kwargs) self.name = kwargs.get("name", "") self.gid = kwargs.get("gid", None) def __eq__(self, y): return self.name == y.name def __str__(self): retval = BaseData.__str__(self) retval += "group" if self.name: retval += " --name=%s" % self.name if self.gid: retval += " --gid=%s" % self.gid return retval + "\n" class F12_Group(KickstartCommand): removedKeywords = KickstartCommand.removedKeywords removedAttrs = KickstartCommand.removedAttrs def __init__(self, writePriority=0, *args, **kwargs): KickstartCommand.__init__(self, writePriority, *args, **kwargs) self.op = self._getParser() self.groupList = kwargs.get("groupList", []) def __str__(self): retval = "" for user in self.groupList: retval += user.__str__() return retval def _getParser(self): op = KSOptionParser() op.add_option("--name", required=1) op.add_option("--gid", type="int") return op def parse(self, args): gd = self.handler.GroupData() (opts, extra) = self.op.parse_args(args=args, lineno=self.lineno) self._setToObj(self.op, opts, gd) gd.lineno = self.lineno # Check for duplicates in the data list. if gd in self.dataList(): warnings.warn(_("A group with the name %s has already been defined.") % gd.name) return gd def dataList(self): return self.groupList

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330, 29881, 297, 1583, 29889, 1272, 1293, 7295, 13, 9651, 18116, 29889, 25442, 7373, 703, 29909, 2318, 411, 278, 1024, 1273, 29879, 756, 2307, 1063, 3342, 23157, 1273, 330, 29881, 29889, 978, 29897, 13, 13, 4706, 736, 330, 29881, 13, 13, 1678, 822, 848, 1293, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 2972, 1293, 13, 2 ]

month02/day11/exer_tcp_server2.py

Amiao-miao/all-codes

1

106191

""" 练习4：自动对话客户端可以向服务端发送问题服务端扮演机器客服角色，根据客户端的提问回复相应的答案要求可以同时多个客户端提问 """ from socket import * qus_dict={ "你好":"你好啊", "叫什么":"我叫小美", "几岁":"我2岁啦", "男生女生":"我是机器人" } def response(connfd): data = connfd.recv(1024).decode() #遍历字典，查看关键词是否在问题中 for key in qus_dict: if key in data: connfd.send(qus_dict[key].encode()) break else: connfd.send("人家还小，不知道啦".encode()) connfd.close() def main(): tcp_socket=socket() tcp_socket.bind(("0.0.0.0",8888)) tcp_socket.listen(5) while True: connfd,addr=tcp_socket.accept() response(connfd) if __name__ == '__main__': main()

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src/baseboard/helpers.py

cmheisel/django-baseboard

1

155118

"""Common functions shared across the baseboard project.""" import socket from baseboard.models import Project, RSSFeed def run_instance_update_method(queryset, method_name, debug, timeout=20): """Loops through every object in queryset, and calls method_name. If debug is true, it prints error messages to stdout Optional timeout value is used to keep long-running network operations from stalling the entire process. """ exceptions = [] error_msgs = [] old_timeout = socket.getdefaulttimeout() #Be kind socket.setdefaulttimeout(float(timeout)) for obj in queryset: method = getattr(obj, method_name) try: if debug == 2: print "Updating %s" % (obj, ) method() if hasattr(obj, 'update_error'): obj.update_error = '' obj.save() except Exception, err: if hasattr(obj, 'update_error'): obj.update_error = str(err) obj.save() msg = "ERROR updating %s => %s" % (obj, str(err)) if debug == 2: print msg exceptions.append(err) error_msgs.append(msg) socket.setdefaulttimeout(old_timeout) #Rewind if error_msgs and debug: print '\n'.join(error_msgs) if exceptions: return False return True def update_summaries(debug, timeout=20): """Calls update_summary on all Project objects in the database.""" return run_instance_update_method(Project.objects.all(), 'update_summary', debug, timeout) def update_feeds(debug, timeout=20): """Calls update_feed on all RSSFeed objects in the database.""" return run_instance_update_method(RSSFeed.objects.all(), 'update_feed', debug, timeout)

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114_Flatten_Binary_Tree_to_Linked_List.py

joshlyman/Josh-LeetCode

0

190037

<reponame>joshlyman/Josh-LeetCode # refer from: # https://leetcode.com/problems/flatten-binary-tree-to-linked-list/solution/ # 2. Iterative Morris traversal class Solution: def flatten(self, root: TreeNode) -> None: """ Do not return anything, modify root in-place instead. """ # Handle the null scenario if not root: return None node = root while node: # If the node has a left child if node.left: # Find the rightmost node rightmost = node.left while rightmost.right: rightmost = rightmost.right # rewire the connections rightmost.right = node.right node.right = node.left node.left = None # move on to the right side of the tree node = node.right # Time: O(N) # Space:O(1) # 3.Use reversed preorder traversal # find rightmost node first, then back to left from bottom to top # preorder is root -> left -> right, here is right -> left -> root def __init__(self): self.prev = None def flatten(self, root): if not root: return None self.flatten(root.right) self.flatten(root.left) root.right = self.prev root.left = None self.prev = root # Time: O(N) # Space:O(1)

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qbot/plugins/cmc_xkcd.py

landmaj/qbot

3

113871

import logging from qbot.core import registry from qbot.db import plugin_storage from qbot.message import Image, OutgoingMessage, Text, send_message from qbot.plugins.cmc import comic PLUGIN_NAME = "xkcd" LATEST_COMIC_KEY = "latest_comic" logger = logging.getLogger(__name__) @comic async def xkcd(): last_seen_comic = await registry.database.fetch_val( plugin_storage.select().where( (plugin_storage.c.plugin == PLUGIN_NAME) & (plugin_storage.c.key == LATEST_COMIC_KEY) ), column=plugin_storage.c.data, ) try: resp = await registry.http_client.get("https://xkcd.com/info.0.json") except Exception: logger.exception("Failed to retrieve latest XKCD comic.") return if not 200 <= resp.status_code < 400: logger.error(f"Incorrect response from XKCD. Status: {resp.status_code}") return data = resp.json() if data["num"] != last_seen_comic: thread_ts = await send_message( OutgoingMessage( channel=registry.CHANNEL_COMICS, thread_ts=None, blocks=[ Text(f"https://xkcd.com - {data['safe_title']}"), Image(image_url=data["img"], alt_text="XKCD"), ], ) ) await send_message( OutgoingMessage( channel=registry.CHANNEL_COMICS, thread_ts=thread_ts, blocks=[Text(data["alt"])], ) ) if last_seen_comic is None: await registry.database.execute( plugin_storage.insert(), values={ "plugin": PLUGIN_NAME, "key": LATEST_COMIC_KEY, "data": data["num"], }, ) else: await registry.database.execute( plugin_storage.update().where( (plugin_storage.c.plugin == PLUGIN_NAME) & (plugin_storage.c.key == LATEST_COMIC_KEY) ), values={"data": data["num"]}, )

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django_de/news/views.py

django-de/django-de-v3

1

157746

<filename>django_de/news/views.py<gh_stars>1-10 from django.db.models.query import Q from django.http import HttpResponseRedirect from django.shortcuts import render, get_object_or_404 from . import models def news_list(request, year=None, month=None, day=None): """ A simple index view that can be restricted to a certain year, year+month or year+month+day. """ query = models.NewsItem.objects filter_ = Q() if year is not None: filter_ &= Q(pub_date__year=int(year)) if month is not None: filter_ &= Q(pub_date__month=int(month)) if day is not None: filter_ &= Q(pub_date__day=int(day)) if filter_ is not None: query = query.filter(filter_) return render(request, 'news/list.html', { 'object_list': query, 'months': models.NewsItem.objects.dates('pub_date', 'month', order='DESC'), }) def news_detail(request, pk, slug=None): """ Presents a single newsitem. """ item = get_object_or_404(models.NewsItem.objects, pk=pk) return render(request, 'news/detail.html', { 'object': item, }) def news_shortcut(request, pk): item = get_object_or_404(models.NewsItem.objects, pk=pk) return HttpResponseRedirect(item.get_absolute_url())

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sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/models/operation_status.py

pjquirk/azure-sdk-for-python

1

64917

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- from msrest.serialization import Model class OperationStatus(Model): """Operation status object. Operation refers to the asynchronous backend task including taking a snapshot and applying a snapshot. All required parameters must be populated in order to send to Azure. :param status: Required. Operation status: notstarted, running, succeeded, failed. If the operation is requested and waiting to perform, the status is notstarted. If the operation is ongoing in backend, the status is running. Status succeeded means the operation is completed successfully, specifically for snapshot taking operation, it illustrates the snapshot is well taken and ready to apply, and for snapshot applying operation, it presents the target object has finished creating by the snapshot and ready to be used. Status failed is often caused by editing the source object while taking the snapshot or editing the target object while applying the snapshot before completion, see the field "message" to check the failure reason. Possible values include: 'notstarted', 'running', 'succeeded', 'failed' :type status: str or ~azure.cognitiveservices.vision.face.models.OperationStatusType :param created_time: Required. A combined UTC date and time string that describes the time when the operation (take or apply a snapshot) is requested. E.g. 2018-12-25T11:41:02.2331413Z. :type created_time: datetime :param last_action_time: A combined UTC date and time string that describes the last time the operation (take or apply a snapshot) is actively migrating data. The lastActionTime will keep increasing until the operation finishes. E.g. 2018-12-25T11:51:27.8705696Z. :type last_action_time: datetime :param resource_location: When the operation succeeds successfully, for snapshot taking operation the snapshot id will be included in this field, and for snapshot applying operation, the path to get the target object will be returned in this field. :type resource_location: str :param message: Show failure message when operation fails (omitted when operation succeeds). :type message: str """ _validation = { 'status': {'required': True}, 'created_time': {'required': True}, } _attribute_map = { 'status': {'key': 'status', 'type': 'OperationStatusType'}, 'created_time': {'key': 'createdTime', 'type': 'iso-8601'}, 'last_action_time': {'key': 'lastActionTime', 'type': 'iso-8601'}, 'resource_location': {'key': 'resourceLocation', 'type': 'str'}, 'message': {'key': 'message', 'type': 'str'}, } def __init__(self, **kwargs): super(OperationStatus, self).__init__(**kwargs) self.status = kwargs.get('status', None) self.created_time = kwargs.get('created_time', None) self.last_action_time = kwargs.get('last_action_time', None) self.resource_location = kwargs.get('resource_location', None) self.message = kwargs.get('message', None)

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silx/gui/plot/test/testPlotTools.py

PiRK/silx

0

97273

<gh_stars>0 # coding: utf-8 # /*########################################################################## # # Copyright (c) 2016-2017 European Synchrotron Radiation Facility # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # # ###########################################################################*/ """Basic tests for PlotTools""" __authors__ = ["<NAME>"] __license__ = "MIT" __date__ = "05/12/2016" import numpy import unittest from silx.test.utils import ParametricTestCase, TestLogging from silx.gui.test.utils import ( qWaitForWindowExposedAndActivate, TestCaseQt, getQToolButtonFromAction) from silx.gui import qt from silx.gui.plot import Plot2D, PlotWindow, PlotTools # Makes sure a QApplication exists _qapp = qt.QApplication.instance() or qt.QApplication([]) def _tearDownDocTest(docTest): """Tear down to use for test from docstring. Checks that plot widget is displayed """ plot = docTest.globs['plot'] qWaitForWindowExposedAndActivate(plot) plot.setAttribute(qt.Qt.WA_DeleteOnClose) plot.close() del plot # Disable doctest because of # "NameError: name 'numpy' is not defined" # # import doctest # positionInfoTestSuite = doctest.DocTestSuite( # PlotTools, tearDown=_tearDownDocTest, # optionflags=doctest.ELLIPSIS) # """Test suite of tests from PlotTools docstrings. # # Test PositionInfo and ProfileToolBar docstrings. # """ class TestPositionInfo(TestCaseQt): """Tests for PositionInfo widget.""" def setUp(self): super(TestPositionInfo, self).setUp() self.plot = PlotWindow() self.plot.show() self.qWaitForWindowExposed(self.plot) self.mouseMove(self.plot, pos=(1, 1)) self.qapp.processEvents() self.qWait(100) def tearDown(self): self.plot.setAttribute(qt.Qt.WA_DeleteOnClose) self.plot.close() del self.plot super(TestPositionInfo, self).tearDown() def _test(self, positionWidget, converterNames, **kwargs): """General test of PositionInfo. - Add it to a toolbar and - Move mouse around the center of the PlotWindow. """ toolBar = qt.QToolBar() self.plot.addToolBar(qt.Qt.BottomToolBarArea, toolBar) toolBar.addWidget(positionWidget) converters = positionWidget.getConverters() self.assertEqual(len(converters), len(converterNames)) for index, name in enumerate(converterNames): self.assertEqual(converters[index][0], name) with TestLogging(PlotTools.__name__, **kwargs): # Move mouse to center self.mouseMove(self.plot) self.mouseMove(self.plot, pos=(1, 1)) self.qapp.processEvents() self.qWait(100) def testDefaultConverters(self): """Test PositionInfo with default converters""" positionWidget = PlotTools.PositionInfo(plot=self.plot) self._test(positionWidget, ('X', 'Y')) def testCustomConverters(self): """Test PositionInfo with custom converters""" converters = [ ('Coords', lambda x, y: (int(x), int(y))), ('Radius', lambda x, y: numpy.sqrt(x * x + y * y)), ('Angle', lambda x, y: numpy.degrees(numpy.arctan2(y, x))) ] positionWidget = PlotTools.PositionInfo(plot=self.plot, converters=converters) self._test(positionWidget, ('Coords', 'Radius', 'Angle')) def testFailingConverters(self): """Test PositionInfo with failing custom converters""" def raiseException(x, y): raise RuntimeError() positionWidget = PlotTools.PositionInfo( plot=self.plot, converters=[('Exception', raiseException)]) self._test(positionWidget, ['Exception'], error=2) class TestPixelIntensitiesHisto(TestCaseQt, ParametricTestCase): """Tests for ProfileToolBar widget.""" def setUp(self): super(TestPixelIntensitiesHisto, self).setUp() self.image = numpy.random.rand(100, 100) self.plotImage = Plot2D() self.plotImage.getIntensityHistogramAction().setVisible(True) def tearDown(self): del self.plotImage super(TestPixelIntensitiesHisto, self).tearDown() def testShowAndHide(self): """Simple test that the plot is showing and hiding when activating the action""" self.plotImage.addImage(self.image, origin=(0, 0), legend='sino') self.plotImage.show() histoAction = self.plotImage.getIntensityHistogramAction() # test the pixel intensity diagram is showing button = getQToolButtonFromAction(histoAction) self.assertIsNot(button, None) self.mouseMove(button) self.mouseClick(button, qt.Qt.LeftButton) self.qapp.processEvents() self.assertTrue(histoAction.getHistogramPlotWidget().isVisible()) # test the pixel intensity diagram is hiding self.qapp.setActiveWindow(self.plotImage) self.qapp.processEvents() self.mouseMove(button) self.mouseClick(button, qt.Qt.LeftButton) self.qapp.processEvents() self.assertFalse(histoAction.getHistogramPlotWidget().isVisible()) def testImageFormatInput(self): """Test multiple type as image input""" typesToTest = [numpy.uint8, numpy.int8, numpy.int16, numpy.int32, numpy.float32, numpy.float64] self.plotImage.addImage(self.image, origin=(0, 0), legend='sino') self.plotImage.show() button = getQToolButtonFromAction( self.plotImage.getIntensityHistogramAction()) self.mouseMove(button) self.mouseClick(button, qt.Qt.LeftButton) self.qapp.processEvents() for typeToTest in typesToTest: with self.subTest(typeToTest=typeToTest): self.plotImage.addImage(self.image.astype(typeToTest), origin=(0, 0), legend='sino') def suite(): test_suite = unittest.TestSuite() # test_suite.addTest(positionInfoTestSuite) for testClass in (TestPositionInfo, TestPixelIntensitiesHisto): test_suite.addTest(unittest.defaultTestLoader.loadTestsFromTestCase( testClass)) return test_suite if __name__ == '__main__': unittest.main(defaultTest='suite')

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scronsole/widgets/main_screen.py

bastianh/screeps_console_mod

2

18131

import urwid from scronsole.config_manager import ConfigManager from scronsole.plugin_manager import PluginManager from scronsole.widgets.main_menu import MainMenu from scronsole.widgets.server_screen import ServerScreen class MainScreen(urwid.WidgetPlaceholder): def __init__(self): super().__init__(urwid.SolidFill(u'/')) self.config = ConfigManager() self.show_main_menu() self.plugins = PluginManager(self) self.plugins.load_plugins() def show_server_screen(self, server_data): self.original_widget = ServerScreen(self, server_data) def show_main_menu(self): self.original_widget = MainMenu(self)

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python_modules/libraries/dagster-gcp/dagster_gcp/gcs/object_store.py

bitdotioinc/dagster

1

193744

import logging import sys from io import BytesIO, StringIO from google.api_core.exceptions import TooManyRequests from google.cloud import storage from dagster import check from dagster.core.storage.object_store import ObjectStore from dagster.core.types.marshal import SerializationStrategy from dagster.utils.backoff import backoff class GCSObjectStore(ObjectStore): def __init__(self, bucket, client=None): self.bucket = check.str_param(bucket, "bucket") self.client = client or storage.Client() self.bucket_obj = self.client.get_bucket(bucket) assert self.bucket_obj.exists() super(GCSObjectStore, self).__init__("gs", sep="/") def set_object(self, key, obj, serialization_strategy=None): check.str_param(key, "key") logging.info("Writing GCS object at: " + self.uri_for_key(key)) # cannot check obj since could be arbitrary Python object check.inst_param( serialization_strategy, "serialization_strategy", SerializationStrategy ) # cannot be none here if self.has_object(key): logging.warning("Removing existing GCS key: {key}".format(key=key)) backoff(self.rm_object, args=[key], retry_on=(TooManyRequests,)) with ( BytesIO() if serialization_strategy.write_mode == "wb" or sys.version_info < (3, 0) else StringIO() ) as file_like: serialization_strategy.serialize(obj, file_like) file_like.seek(0) backoff( self.bucket_obj.blob(key).upload_from_file, args=[file_like], retry_on=(TooManyRequests,), ) return self.uri_for_key(key) def get_object(self, key, serialization_strategy=None): check.str_param(key, "key") check.param_invariant(len(key) > 0, "key") check.inst_param( serialization_strategy, "serialization_strategy", SerializationStrategy ) # cannot be none here if serialization_strategy.read_mode == "rb": file_obj = BytesIO() self.bucket_obj.blob(key).download_to_file(file_obj) else: file_obj = StringIO( self.bucket_obj.blob(key) .download_as_string() .decode(serialization_strategy.encoding) ) file_obj.seek(0) obj = serialization_strategy.deserialize(file_obj) return obj, self.uri_for_key(key) def has_object(self, key): check.str_param(key, "key") check.param_invariant(len(key) > 0, "key") blobs = self.client.list_blobs(self.bucket, prefix=key) return len(list(blobs)) > 0 def rm_object(self, key): check.str_param(key, "key") check.param_invariant(len(key) > 0, "key") if self.bucket_obj.blob(key).exists(): self.bucket_obj.blob(key).delete() return self.uri_for_key(key) def cp_object(self, src, dst): check.str_param(src, "src") check.str_param(dst, "dst") source_blob = self.bucket_obj.blob(src) self.bucket_obj.copy_blob(source_blob, self.bucket_obj, dst) return ( self.uri_for_key(src), self.uri_for_key(dst), ) def uri_for_key(self, key, protocol=None): check.str_param(key, "key") protocol = check.opt_str_param(protocol, "protocol", default="gs://") return protocol + self.bucket + "/" + "{key}".format(key=key)

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api/views.py

rukbotto/reviews-django

0

27725

<gh_stars>0 from django.http import Http404 from django.shortcuts import render from rest_framework import status from rest_framework.permissions import IsAuthenticated from rest_framework.response import Response from rest_framework.views import APIView from api.models import Review from api.serializers import ReviewSerializer class ReviewListView(APIView): permission_classes = (IsAuthenticated,) def get(self, request, *args, **kwargs): serializer = ReviewSerializer(request.user.reviews.all(), many=True) return Response(serializer.data) def post(self, request, *args, **kwargs): data = request.data data['ip_address'] = request.META.get('REMOTE_ADDR') serializer = ReviewSerializer(data=data) if serializer.is_valid(): serializer.save(user=request.user) return Response(serializer.data, status.HTTP_201_CREATED) return Response(serializer.errors, status.HTTP_400_BAD_REQUEST) class ReviewDetailView(APIView): def get(self, request, *args, **kwargs): try: review = Review.objects.get(pk=kwargs['pk']) if request.user != review.user: return Response({}, status.HTTP_403_FORBIDDEN) except Review.DoesNotExist: raise Http404 serializer = ReviewSerializer(review) return Response(serializer.data)

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Python/CCC - Mouse Move.py

RobinNash/Solutions-to-Competition-Problems

0

192569

<reponame>RobinNash/Solutions-to-Competition-Problems # Mouse Move # # November 12, 2018 # By <NAME> [c,r] = [int(i) for i in input().split(" ") if i != " "] x,y = 0,0 while True: pair = [int(i) for i in input().split(" ") if i != " "] if pair == [0,0]: break x += pair[0] y += pair[1] pair = [x,y] for i in range(2): if pair[i] > [c,r][i]: pair[i] = [c,r][i] if pair[i] < 0: pair[i] = 0 [x,y] = pair print(x,y) #1541983052.0

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ocr.py

tunc2112/uet-img-processing

0

17795

<gh_stars>0 from PIL import Image import cv2 import pytesseract import tesserocr from pyocr import pyocr from pyocr import builders import sys import os def get_image_filename(img_id): filename = "img_src/src{0:0>3}".format(img_id) for ext in [".png", ".jpg", ".jpeg"]: if os.path.exists(os.path.join(os.getcwd(), filename + ext)): return filename + ext def write_output(libname, img_id, text): filename = "./output/output_{1}_{0:0>3}.txt".format(img_id, libname) with open(filename, "w") as f: f.write(text) def ocr_pytesseract(img_id): img_filename = './' + get_image_filename(img_id) img = cv2.imread(img_filename, cv2.IMREAD_COLOR) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) gray = cv2.bilateralFilter(gray, 11, 17, 17) original = pytesseract.image_to_string(gray, config='') write_output(img, original) def ocr_pyocr(img_id): img_filename = './' + get_image_filename(img_id) img = cv2.imread(img_filename, cv2.IMREAD_COLOR) tools = pyocr.get_available_tools() if len(tools) == 0: print("No OCR tool found") sys.exit(1) tool = tools[0] langs = tool.get_available_languages() lang = langs[0] txt = tool.image_to_string( Image.open(img_filename), lang=lang, builder=pyocr.tesseract.builders.TextBuilder() ) write_output(img_id, txt) def ocr_tesseract(img_id): img_filename = './' + get_image_filename(img_id) txt = tesserocr.image_to_text(Image.open(img_filename)) write_output(img_id, txt)

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Handling Images and Pixels/Image processing - sharpen operation.py

ahmadhabib5/Computer_Vision_Bootcamp_with_Python_OpenCV_YOLO_SSD

0

64955

import numpy as np import cv2 image = cv2.imread('images/unsharp_bird.jpg') kernel = np.array([ [0, -1, 0], [-1, 5, -1], [0, -1, 0] ]) sharpen_iamge = cv2.filter2D(image, -1, kernel) cv2.imshow("original image", image) cv2.imshow("sharpen image", sharpen_iamge) cv2.waitKey(0) cv2.destroyAllWindows()

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scrapy_tfg/scrapy_tfg/spiders/mdeportivo_spider.py

jochoaserna/footballnews

0

98699

# -*- coding: utf-8 -*- import scrapy import re import json import urllib.parse import datetime import random class MundodeportivoSpider(scrapy.Spider): name = "md" start_urls = [ 'http://www.mundodeportivo.com/futbol/atletico-madrid', 'http://www.mundodeportivo.com/futbol/real-madrid', 'http://www.mundodeportivo.com/futbol/fc-barcelona' ] # ------------------------------------------------------------- # ORDENES # $ scrapy crawl md -a team=atletico-madrid -o md-atm.json # $ scrapy crawl md -a team=real-madrid -o md-rma.json # $ scrapy crawl md -a team=fc-barcelona -o md-bar.json # ------------------------------------------------------------- # def __init__(self, team='atletico_madrid'): # self.start_urls = ['http://www.mundodeportivo.com/futbol/%s' % team] def parse(self, response): # follow links to each news item for href in response.css('h3.story-header-title a::attr(href)').extract(): yield scrapy.Request(href, callback=self.parse_news) def parse_news(self, response): headline = response.css('h1.story-leaf-title::text')[0].extract() articleBody = ''.join(response.css('div.story-leaf-txt-p p::text ,div.story-leaf-txt-p p b::text ,div.story-leaf-txt-p p a::text').extract()) #author = response.css('div.story-leaf-author-text span::text')[0].extract() #articleSection = response.css('span.section-type::text')[0].extract() #commentCount = response.css('div.fyre-comment-count span::text')[0].extract() datePublished = response.css('div.story-leaf-body.story-leaf-indent time::attr(datetime)')[0].extract() images = response.css('div.container figure img::attr(src)')[1].extract() videos = response.css('div.html-box-center iframe::attr(src)').extract() keywords = response.css('li.story-leaf-topics-item a::text').extract() #comments = ' - '.join(response.css('div.comentario strong.numero_comentario a::text, div.comentario p.nombre span.nombre_usuario::text, div.comentario p.nombre span.nick::text, div.comentario span.fecha::text, div.comentario span+p::text, div.comentario p.nombre img::attr(src)').extract()) dateCreated = datetime.datetime.now().isoformat() url = response.url _id = str(random.randint(0,10000)) + dateCreated team = "" if bool(re.search("atletico-madrid", url)): team = "atletico" elif bool(re.search("real-madrid", url)): team = "madrid" elif bool(re.search("fc-barcelona", url)): team = "barca" else: return item = {'@context':'http://schema.org', 'headline':headline, 'articleBody':articleBody, # "author" COMMENTED BECAUSE IS MISSING IN SOME ARTICLES AND WE ARE NOT USING IT LATER #'author':author, #'articleSection':articleSection, #'commentCount':commentCount, 'datePublished':datePublished, 'images':images, 'videos':videos, 'keywords':keywords, #'comments':comments, 'dateCreated':dateCreated, 'newspaper': "md", 'url': url, 'team': team, 'id':_id } yield item return

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ged2json.py

FlominatorTM/tam

1

154329

""" converts a GEDCOM file into a JSON file for use in Topographic Attribute Maps (https://github.com/rpreiner/tam) this is just a proof of concept and might contain serious mistakes and problems """ import argparse import json import re __author__ = "<NAME>" def add_child(parentId, childId, idsWithNodes, nodesWithFamily, res): if parentId != "" and childId in idsWithNodes: nodesWithFamily.append(parentId) link = {"source" : parentId, "target" : childId, "directed": True} res["links"].append(link) if childId not in nodesWithFamily: nodesWithFamily.append(childId) def fill_missing_years(childNode, res): for parentId in (x for x in res['links'] if x['target'] == childNode['id']): parentNode = next((x for x in res["nodes"] if x['id'] == parentId['source']), None) if parentNode is not None and 'value' not in parentNode and 'value' in childNode: estimatedBirth = childNode['value'] - 20 print("estimated birth for " + parentNode['id'] + " (" + parentNode['name'] + "): " + str(estimatedBirth)) parentNode['value'] = estimatedBirth fill_missing_years(parentNode, res) parser = argparse.ArgumentParser(description='convert GEDCOM file to JSON file for use in Topographic Attribute Maps') parser.add_argument('gedcom', type=str, help='path to GEDCOM file') parser.add_argument('json', type=str, help='path to JSON file') args = parser.parse_args() res = {} nodesWithFamily = [] res["nodes"] = [] res["links"] = [] with open(args.gedcom, encoding='utf8', errors='ignore') as f: lines = f.readlines() node = {} husb = "" wife = "" idsWithNodes = [] for i in range(len(lines)): line = lines[i] if " INDI" in line: if "id" in node: res["nodes"].append(node) idsWithNodes.append(node["id"]) lineParts = line.split() node = {"id" : lineParts[1]} elif " FAM" in line and "id" in node: #last INDI before FAMs start res["nodes"].append(node) idsWithNodes.append(node["id"]) node = {} elif "1 NAME" in line: node["name"] = line[7:].strip().replace('/', '') elif "1 BIRT" in line and "2 DATE" in lines[i+1]: birthRow = lines[i+1] match = re.match(r'.*([1-3][0-9]{3})', birthRow) if match is not None: node["value"] = int(match.group(1)) elif "1 HUSB " in line: husb = line[7:].strip() if husb not in idsWithNodes: husb = "" elif "1 WIFE " in line: wife = line[7:].strip() if wife not in idsWithNodes: wife = "" elif "1 CHIL " in line: child = line[7:].strip() add_child(husb, child, idsWithNodes, nodesWithFamily, res) add_child(wife, child, idsWithNodes, nodesWithFamily, res) elif "0 " in line and " FAM" in line: husb = "" wife = "" nodesWithoutParents = [] for oneNode in res["nodes"]: if oneNode["id"] not in nodesWithFamily: nodesWithoutParents.append(oneNode) for orphanNode in nodesWithoutParents: try: print ("removing orphan " + orphanNode["id"] + ": " + orphanNode["name"]) except: print ("removing orphan " + orphanNode["id"] + " which cannot be displayed properly") res["nodes"].remove(orphanNode) for oneNode in res["nodes"]: fill_missing_years(oneNode, res) with open(args.json, 'w', encoding="utf8") as outfile: json.dump(res, outfile, indent=3)

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mtl/extractors/lbirnn.py

vandurme/TFMTL

10

176763

<reponame>vandurme/TFMTL<filename>mtl/extractors/lbirnn.py<gh_stars>1-10 # Copyright 2018 Johns Hopkins University. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================ from __future__ import absolute_import from __future__ import division from __future__ import print_function import tensorflow as tf from six.moves import xrange import mtl.util.registry as registry from mtl.util.common import (validate_extractor_inputs, listify, unlistify) def get_multi_cell(cell_type, cell_size, num_layers): if cell_type == tf.contrib.rnn.GRUCell: cell = cell_type(cell_size, kernel_initializer=tf.contrib.layers.xavier_initializer()) elif cell_type == tf.contrib.rnn.LSTMCell: cell = cell_type(cell_size, initializer=tf.contrib.layers.xavier_initializer()) # TODO initializer??? elif cell_type == tf.contrib.rnn.SRUCell: cell = cell_type(cell_size, initializer=tf.contrib.layers.xavier_initializer()) # TODO layer num??? # elif cell_type == RANCell: # cell = cell_type(num_units=cell_size) else: cell = cell_type(cell_size) if num_layers > 1: return tf.contrib.rnn.MultiRNNCell([cell] * num_layers) else: return cell def fill_initial_state(initial_states, cells, batch_size): # replace None values with zero states initial_states = list(initial_states) # ensure mutability for i, c in enumerate(initial_states): if c is None: initial_states[i] = cells.zero_state(batch_size, tf.float32) initial_states = tuple(initial_states) # restore immutability return initial_states def get_idx(indices, batch_size): # row index [[0], [1], ..., [N]] r = tf.range(batch_size) r = tf.cast(r, dtype=tf.int64) r = tf.expand_dims(r, 1) # make sure indices are able to be concatenated with range # i.e., of the form [[idx_0], [idx_1], ..., [idx_N]] rank = len(indices.get_shape().as_list()) if rank == 1: indices = tf.expand_dims(indices, 1) elif rank == 2: pass else: raise ValueError("indices doesn't have rank 1 or 2: rank=%d" % (rank)) idx = tf.concat([r, indices], axis=1) return idx def _lbirnn_helper(inputs, lengths, is_training, indices=None, num_layers=2, cell_type=tf.contrib.rnn.LSTMCell, cell_size=64, initial_state_fwd=None, initial_state_bwd=None, scope=None, **kwargs): """Stacked linear chain bi-directional RNN Inputs _____ inputs: batch of size [batch_size, batch_len, embed_size] lengths: batch of size [batch_size] indices: which token index in each batch example should be output shape: [batch_size] or [batch_size, 1] num_layers: number of stacked layers in the bi-RNN cell_type: type of RNN cell to use (e.g., LSTM, GRU) cell_size: cell's output size initial_state_fwd: initial state for forward direction initial_state_bwd: initial state for backward direction Outputs _______ If the input word vectors have dimension D and indices is None, the output is a Tensor of size [batch_size, batch_len, cell_size_fwd + cell_size_bwd] = [batch_size, batch_len, 2*cell_size]. If indices is not None, the output is a Tensor of size [batch_size, cell_size_fwd + cell_size_bwd] = [batch_size, 2*cell_size] """ if scope is not None: scope_name = scope else: scope_name = "lbirnn" with tf.variable_scope(scope_name, reuse=tf.AUTO_REUSE) as varscope: # print("_lbirnn_helper scope={}".format(varscope)) # reverse each batch example up through its length, maintaining right-padding inputs_rev = tf.reverse_sequence(inputs, lengths, batch_axis=0, seq_axis=1) cells_fwd = get_multi_cell(cell_type, cell_size, num_layers) cells_bwd = get_multi_cell(cell_type, cell_size, num_layers) if is_training and ("output_keep_prob" in kwargs) and ( kwargs["output_keep_prob"] < 1.0): cells_fwd = tf.contrib.rnn.DropoutWrapper(cell=cells_fwd, output_keep_prob=kwargs[ "output_keep_prob"]) cells_bwd = tf.contrib.rnn.DropoutWrapper(cell=cells_bwd, output_keep_prob=kwargs[ "output_keep_prob"]) else: pass if "attention" in kwargs and kwargs["attention"] == True: if "attn_length" in kwargs: attn_length = kwargs["attn_length"] else: attn_length = 10 cells_fwd = tf.contrib.rnn.AttentionCellWrapper(cells_fwd, attn_length=attn_length) cells_bwd = tf.contrib.rnn.AttentionCellWrapper(cells_bwd, attn_length=attn_length) batch_size = tf.shape(inputs)[0] initial_state_fwd = fill_initial_state(listify(initial_state_fwd), cells_fwd, batch_size) initial_state_fwd = unlistify(initial_state_fwd) initial_state_bwd = fill_initial_state(listify(initial_state_bwd), cells_bwd, batch_size) initial_state_bwd = unlistify(initial_state_bwd) # if initial_state_fwd is None: # #initial_state_fwd = [None] # initial_state_fwd = fill_initial_state([None], cells_fwd, batch_size)#[0] # else: # initial_state_fwd = fill_initial_state(initial_state_fwd, cells_fwd, batch_size) # # if initial_state_bwd is None: # #initial_state_bwd = [None] # initial_state_bwd = fill_initial_state([None], cells_bwd, batch_size)#[0] # else: # initial_state_bwd = fill_initial_state(initial_state_bwd, cells_bwd, batch_size) code_fwd, last_state_fwd = tf.nn.dynamic_rnn(cells_fwd, inputs, sequence_length=lengths, initial_state=initial_state_fwd, time_major=False, scope="rnn_fwd") tmp, last_state_bwd = tf.nn.dynamic_rnn(cells_bwd, inputs_rev, sequence_length=lengths, initial_state=initial_state_bwd, time_major=False, scope="rnn_bwd") # reverse backward-pass outputs so they align with the forward-pass outputs code_bwd = tf.reverse_sequence(tmp, lengths, batch_axis=0, seq_axis=1) if indices is not None: idx = get_idx(indices, batch_size) # get the (indices[i])-th token's output from row i code_fwd = tf.gather_nd(code_fwd, idx) code_bwd = tf.gather_nd(code_bwd, idx) return (code_fwd, code_bwd), (last_state_fwd, last_state_bwd) """ def lbirnn(inputs, lengths, is_training, indices=None, num_layers=2, cell_type=tf.contrib.rnn.LSTMCell, cell_size=64, initial_state_fwd=None, initial_state_bwd=None, **kwargs): with tf.variable_scope("single-stage-lbirnn", reuse=tf.AUTO_REUSE) as varscope: o, _ = _lbirnn_helper(inputs, lengths, is_training=is_training, indices=indices, num_layers=num_layers, cell_type=cell_type, cell_size=cell_size, initial_state_fwd=initial_state_fwd, initial_state_bwd=initial_state_bwd, scope=varscope, **kwargs) (code_fwd, code_bwd) = o code = tf.concat([code_fwd, code_bwd], axis=-1) outputs = code return outputs """ def lbirnn(inputs, lengths, is_training, indices=None, num_layers=2, cell_type=tf.contrib.rnn.GRUCell, cell_size=64, initial_state_fwd=None, initial_state_bwd=None, **kwargs): """Serial stacked linear chain bi-directional RNN If `indices` is specified for the last stage, the outputs of the tokens in the last stage as specified by `indices` will be returned. If `indices` is None for the last stage, the encodings for all tokens in the sequence are returned. Inputs _____ All arguments denoted with (*) should be given as lists, one element per stage in the series. The specifications given below are for a single stage. inputs (*): Tensor of size [batch_size, batch_len, embed_size] lengths (*): Tensor of size [batch_size] indices: Tensor of which token index in each batch item should be output; shape: [batch_size] or [batch_size, 1] num_layers: number of stacked layers in the bi-RNN cell_type: type of RNN cell to use (e.g., LSTM, GRU) cell_size: cell's output size initial_state_fwd: initial state for forward direction, may be None initial_state_bwd: initial state for backward direction, may be None Outputs _______ If the input word vectors have dimension D and the series has N stages: if `indices` is not None: the output is a Tensor of size [batch_size, cell_size] if `indices` is None: the output is a Tensor of size [batch_size, batch_len, cell_size] """ validate_extractor_inputs(inputs, lengths) num_stages = len(inputs) fwd_ = initial_state_fwd bwd_ = initial_state_bwd prev_varscope = None for n_stage in xrange(num_stages): # with tf.variable_scope("serial_lbirnn", reuse=tf.AUTO_REUSE) as varscope: with tf.variable_scope( "serial-lbirnn-seq{}".format(n_stage)) as varscope: if prev_varscope is not None: prev_varscope.reuse_variables() if n_stage == num_stages - 1: # Use the user-specified indices on the last stage indices_ = indices else: indices_ = None o, s = _lbirnn_helper(inputs[n_stage], lengths[n_stage], is_training=is_training, indices=indices_, num_layers=num_layers, cell_type=cell_type, cell_size=cell_size, initial_state_fwd=fwd_, initial_state_bwd=bwd_, scope=varscope, **kwargs) (code_fwd, code_bwd), (last_state_fwd, last_state_bwd) = o, s # Update arguments for next stage fwd_ = last_state_fwd bwd_ = last_state_bwd prev_varscope = varscope code = tf.concat([code_fwd, code_bwd], axis=-1) outputs = code return outputs def _lbirnn_stock_helper(inputs, lengths, is_training, num_layers=2, cell_type=tf.contrib.rnn.GRUCell, cell_size=64, initial_state_fwd=None, initial_state_bwd=None, scope=None, **kwargs): scope_name = scope if scope is not None else "stock-lbirnn" with tf.variable_scope(scope_name) as varscope: cells_fwd = get_multi_cell(cell_type, cell_size, num_layers) cells_bwd = get_multi_cell(cell_type, cell_size, num_layers) if "skip_connections" in kwargs and kwargs["skip_connections"]: cells_fwd = tf.contrib.rnn.ResidualWrapper(cells_fwd) cells_bwd = tf.contrib.rnn.ResidualWrapper(cells_bwd) if is_training and ("output_keep_prob" in kwargs) and ( kwargs["output_keep_prob"] < 1.0): cells_fwd = tf.contrib.rnn.DropoutWrapper(cell=cells_fwd, output_keep_prob=kwargs[ "output_keep_prob"]) cells_bwd = tf.contrib.rnn.DropoutWrapper(cell=cells_bwd, output_keep_prob=kwargs[ "output_keep_prob"]) else: pass if "attention" in kwargs and kwargs["attention"] == True: if "attn_length" in kwargs: attn_length = kwargs["attn_length"] else: attn_length = 10 cells_fwd = tf.contrib.rnn.AttentionCellWrapper(cells_fwd, attn_length=attn_length) cells_bwd = tf.contrib.rnn.AttentionCellWrapper(cells_bwd, attn_length=attn_length) outputs, last_states = tf.nn.bidirectional_dynamic_rnn(cells_fwd, cells_bwd, inputs, sequence_length=lengths, initial_state_fw=initial_state_fwd, initial_state_bw=initial_state_bwd, dtype=tf.float32) return outputs, last_states def lbirnn_stock(inputs, lengths, is_training, num_layers=2, cell_type=tf.contrib.rnn.GRUCell, cell_size=64, initial_state_fwd=None, initial_state_bwd=None, **kwargs): validate_extractor_inputs(inputs, lengths) num_stages = len(inputs) fwd_ = initial_state_fwd bwd_ = initial_state_bwd prev_varscope = None for n_stage in xrange(num_stages): with tf.variable_scope( "serial-lbirnn-stock-seq{}".format(n_stage)) as varscope: if prev_varscope is not None: prev_varscope.reuse_variables() code, states = _lbirnn_stock_helper(inputs[n_stage], lengths[n_stage], is_training=is_training, num_layers=num_layers, cell_type=cell_type, cell_size=cell_size, initial_state_fwd=fwd_, initial_state_bwd=bwd_, scope=varscope, **kwargs) fwd_ = states[0] bwd_ = states[1] prev_varscope = varscope # concatenate hx_fwd and hx_bwd of top layer # `states` = ((cx_fwd, hx_fwd), (cx_bwd, hx_bwd)) # TODO for GRU if num_layers > 1: # shape states: [2, num_layers, 2] # (cf. https://github.com/coastalcph/mtl-disparate/blob/master/mtl/nn.py#L43) if cell_type == tf.contrib.rnn.GRUCell: # TODO pass elif cell_type == tf.contrib.rnn.LSTMCell: output = tf.concat([states[0][-1][1], states[1][-1][1]], 1) else: # shape states: [2, 2] # (cf. https://github.com/coastalcph/mtl-disparate/blob/master/mtl/nn.py#L40) # if cell_type == tf.contrib.rnn.GRUCell or cell_type == RANCell: if cell_type == tf.contrib.rnn.GRUCell: output = tf.concat([states[0], states[1]], 1) elif cell_type == tf.contrib.rnn.LSTMCell: output = tf.concat([states[0][1], states[1][1]], 1) return output @registry.register_hparams def sRUDER_NAACL18_HPARAMS(): hp = tf.contrib.training.HParams( cell_type='lstm', cell_size=100, num_layers=1, keep_prob=0.5 ) return hp @registry.register_encoder def ruder_encoder(inputs, lengths, is_training, hp=None): assert type(inputs) is list assert type(lengths) is list assert len(inputs) == len(lengths) assert len(inputs) == 2 assert hp is not None num_input_dim = len(inputs[0].get_shape().as_list()) assert num_input_dim == 3 # BATCH X TIME X EMBED num_length_dim = len(lengths[0].get_shape().as_list()) assert num_length_dim == 1 if hp.cell_type == 'gru': cell_type = tf.contrib.rnn.GRUCell elif hp.cell_type == 'lstm': cell_type = tf.contrib.rnn.LSTMCell else: raise ValueError(hp.cell_type) keep_prob = hp.keep_prob if is_training else 1.0 code = lbirnn_stock(inputs, lengths, is_training=is_training, num_layers=hp.num_layers, cell_type=cell_type, cell_size=hp.cell_size) assert len(code.get_shape().as_list()) == 2 return code

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featurize/__init__.py

featurize/featurize-cli

0

101372

<gh_stars>0 import sys import os from json import JSONDecodeError from .featurize_client import FeaturizeClient def _find_token(): token_from_env = os.getenv('FEATURIZE_API_TOKEN') cfg_file = os.getenv('FEATURIZE_CFG_FILE', '/etc/featurize_token.txt') if token_from_env: return token_from_env try: with open(cfg_file, 'r') as f: return f.read() except FileNotFoundError: return None except JSONDecodeError: sys.exit(f'config file {cfg_file} parse error') def _find_instance_id(): return os.getenv('FEATURIZE_INSTANCE_ID') def create_client_from_env(): token = _find_token() instance_id = _find_instance_id() if token is None: sys.exit('Token is missed') return FeaturizeClient(token=token, instance_id=instance_id) __version__ = '0.0.22' __all__ = ['FeaturizeClient', 'create_client_from_env']

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python/0258. addDigits.py

whtahy/leetcode

1

157654

<reponame>whtahy/leetcode class Solution: def addDigits(self, num: int) -> int: while num > 9: num = sum(int(ch) for ch in str(num)) return num

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motor_watch/status.py

pcdshub/motor_watch

0

137463

def process(status): status_info = {} status_info['name'] = status.pos.name status_info['target'] = status.target return status_info

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flask-gunicorn-mysql-nginx-compose/gunicorn.conf.py

xmmmmmovo/docker-config

0

1614212

import multiprocessing workers = multiprocessing.cpu_count() * 2 + 1 worker_class = "gevent" bind = "0.0.0.0:8888"

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O365/calendar.py

PhoenixAlx/py-o365

0

189296

import logging from enum import Enum from dateutil.parser import parse import datetime as dt import pytz import calendar from bs4 import BeautifulSoup as bs from O365.utils import Pagination, NEXT_LINK_KEYWORD, ApiComponent, Attachments, Attachment, \ AttachableMixin, ImportanceLevel, TrackerSet from O365.message import HandleRecipientsMixin log = logging.getLogger(__name__) MONTH_NAMES = [calendar.month_name[x] for x in range(1, 13)] class EventResponse(Enum): Organizer = 'organizer' TentativelyAccepted = 'tentativelyAccepted' Accepted = 'accepted' Declined = 'declined' NotResponded = 'notResponded' class AttendeeType(Enum): Required = 'required' Optional = 'optional' Resource = 'resource' class EventSensitivity(Enum): Normal = 'normal' Personal = 'personal' Private = 'private' Confidential = 'confidential' class EventShowAs(Enum): Free = 'free' Tentative = 'tentative' Busy = 'busy' Oof = 'oof' WorkingElsewhere = 'workingElsewhere' Unknown = 'unknown' class CalendarColors(Enum): LightBlue = 0 LightGreen = 1 LightOrange = 2 LightGray = 3 LightYellow = 4 LightTeal = 5 LightPink = 6 LightBrown = 7 LightRed = 8 MaxColor = 9 Auto = -1 class EventAttachment(Attachment): _endpoints = {'attach': '/events/{id}/attachments'} class EventAttachments(Attachments): _endpoints = {'attachments': '/events/{id}/attachments'} class DailyEventFrequency: def __init__(self, recurrence_type, interval): self.recurrence_type = recurrence_type self.interval = interval class EventRecurrence(ApiComponent): """ A representation of an event recurrence properties """ def __init__(self, event, recurrence=None): super().__init__(protocol=event.protocol, main_resource=event.main_resource) self._event = event recurrence = recurrence or {} # recurrence pattern recurrence_pattern = recurrence.get(self._cc('pattern'), {}) self.__interval = recurrence_pattern.get(self._cc('interval'), None) self.__days_of_week = recurrence_pattern.get(self._cc('daysOfWeek'), set()) self.__first_day_of_week = recurrence_pattern.get(self._cc('firstDayOfWeek'), None) self.__day_of_month = recurrence_pattern.get(self._cc('dayOfMonth'), None) self.__month = recurrence_pattern.get(self._cc('month'), None) self.__index = recurrence_pattern.get(self._cc('index'), 'first') # recurrence range recurrence_range = recurrence.get(self._cc('range'), {}) self.__ocurrences = recurrence_range.get(self._cc('numberOfOccurrences'), None) self.__start_date = recurrence_range.get(self._cc('startDate'), None) self.__end_date = recurrence_range.get(self._cc('endDate'), None) self.__recurrence_time_zone = recurrence_range.get(self._cc('recurrenceTimeZone'), self.protocol.get_windows_tz()) # time and time zones are not considered in recurrence ranges... # I don't know why 'recurrenceTimeZone' is present here # Sending a startDate datetime to the server results in an Error: # "Cannot convert the literal 'datetime' to the expected type 'Edm.Date'" if recurrence_range: self.__start_date = parse(self.__start_date).date() if self.__start_date else None self.__end_date = parse(self.__end_date).date() if self.__end_date else None def __str__(self): if self.__interval: pattern = 'Daily: every {} day/s'.format(self.__interval) if self.__days_of_week: days = ' or '.join(list(self.__days_of_week)) pattern = 'Relative Monthly: {} {} every {} month/s'.format(self.__index, days, self.__interval) if self.__first_day_of_week: pattern = 'Weekly: every {} week/s on {}'.format(self.__interval, days) elif self.__month: pattern = 'Relative Yearly: {} {} every {} year/s on {}'.format(self.__index, days, self.__interval, MONTH_NAMES[self.__month - 1]) elif self.__day_of_month: pattern = 'Absolute Monthly: on day {} every {} month/s'.format(self.__day_of_month, self.__interval) if self.__month: pattern = 'Absolute Yearly: on {} {} every {} year/s'.format(MONTH_NAMES[self.__month - 1], self.__day_of_month, self.__interval) r_range = '' if self.__start_date: r_range = 'Starting on {}'.format(self.__start_date) ends_on = 'with no end' if self.__end_date: ends_on = 'ending on {}'.format(self.__end_date) elif self.__ocurrences: ends_on = 'up to {} ocurrences'.format(self.__ocurrences) r_range = '{} {}'.format(r_range, ends_on) return '{}. {}'.format(pattern, r_range) else: return 'No recurrence enabled' def __repr__(self): return self.__str__() def __bool__(self): return bool(self.__interval) def _track_changes(self): """ Update the track_changes on the event to reflect a needed update on this field """ self._event._track_changes.add('recurrence') @property def interval(self): return self.__interval @interval.setter def interval(self, value): self.__interval = value self._track_changes() @property def days_of_week(self): return self.__days_of_week @days_of_week.setter def days_of_week(self, value): self.__days_of_week = value self._track_changes() @property def first_day_of_week(self): return self.__first_day_of_week @first_day_of_week.setter def first_day_of_week(self, value): self.__first_day_of_week = value self._track_changes() @property def day_of_month(self): return self.__day_of_month @day_of_month.setter def day_of_month(self, value): self.__day_of_month = value self._track_changes() @property def month(self): return self.__month @month.setter def month(self, value): self.__month = value self._track_changes() @property def index(self): return self.__index @index.setter def index(self, value): self.__index = value self._track_changes() @property def ocurrences(self): return self.__ocurrences @ocurrences.setter def ocurrences(self, value): self.__ocurrences = value self._track_changes() @property def recurrence_time_zone(self): return self.__recurrence_time_zone @recurrence_time_zone.setter def recurrence_time_zone(self, value): self.__recurrence_time_zone = value self._track_changes() @property def start_date(self): return self.__start_date @start_date.setter def start_date(self, value): if not isinstance(value, dt.date): raise ValueError('start_date value must be a valid date object') if isinstance(value, dt.datetime): value = value.date() self.__start_date = value self._track_changes() @property def end_date(self): return self.__start_date @end_date.setter def end_date(self, value): if not isinstance(value, dt.date): raise ValueError('end_date value must be a valid date object') if isinstance(value, dt.datetime): value = value.date() self.__end_date = value self._track_changes() def to_api_data(self): data = {} # recurrence pattern if self.__interval and isinstance(self.__interval, int): recurrence_pattern = data[self._cc('pattern')] = {} recurrence_pattern[self._cc('type')] = 'daily' recurrence_pattern[self._cc('interval')] = self.__interval if self.__days_of_week and isinstance(self.__days_of_week, (list, tuple, set)): recurrence_pattern[self._cc('type')] = 'relativeMonthly' recurrence_pattern[self._cc('daysOfWeek')] = list(self.__days_of_week) if self.__first_day_of_week: recurrence_pattern[self._cc('type')] = 'weekly' recurrence_pattern[self._cc('firstDayOfWeek')] = self.__first_day_of_week elif self.__month and isinstance(self.__month, int): recurrence_pattern[self._cc('type')] = 'relativeYearly' recurrence_pattern[self._cc('month')] = self.__month if self.__index: recurrence_pattern[self._cc('index')] = self.__index else: if self.__index: recurrence_pattern[self._cc('index')] = self.__index elif self.__day_of_month and isinstance(self.__day_of_month, int): recurrence_pattern[self._cc('type')] = 'absoluteMonthly' recurrence_pattern[self._cc('dayOfMonth')] = self.__day_of_month if self.__month and isinstance(self.__month, int): recurrence_pattern[self._cc('type')] = 'absoluteYearly' recurrence_pattern[self._cc('month')] = self.__month # recurrence range if self.__start_date: recurrence_range = data[self._cc('range')] = {} recurrence_range[self._cc('type')] = 'noEnd' recurrence_range[self._cc('startDate')] = self.__start_date.isoformat() recurrence_range[self._cc('recurrenceTimeZone')] = self.__recurrence_time_zone if self.__end_date: recurrence_range[self._cc('type')] = 'endDate' recurrence_range[self._cc('endDate')] = self.__end_date.isoformat() elif self.__ocurrences is not None and isinstance(self.__ocurrences, int): recurrence_range[self._cc('type')] = 'numbered' recurrence_range[self._cc('numberOfOccurrences')] = self.__ocurrences return data def _clear_pattern(self): """ Clears this event recurrence """ # pattern group self.__interval = None self.__days_of_week = set() self.__first_day_of_week = None self.__day_of_month = None self.__month = None self.__index = 'first' # range group self.__start_date = None self.__end_date = None self.__ocurrences = None def set_range(self, start=None, end=None, ocurrences=None): if start is None: if self.__start_date is None: self.__start_date = dt.date.today() else: self.start_date = start if end: self.end_date = end elif ocurrences: self.__ocurrences = ocurrences self._track_changes() def set_daily(self, interval, **kwargs): self._clear_pattern() self.__interval = interval self.set_range(**kwargs) def set_weekly(self, interval, *, days_of_week, first_day_of_week, **kwargs): self.set_daily(interval, **kwargs) self.__days_of_week = set(days_of_week) self.__first_day_of_week = first_day_of_week def set_monthly(self, interval, *, day_of_month=None, days_of_week=None, index=None, **kwargs): if not day_of_month and not days_of_week: raise ValueError('Must provide day_of_month or days_of_week values') if day_of_month and days_of_week: raise ValueError('Must provide only one of the two options') self.set_daily(interval, **kwargs) if day_of_month: self.__day_of_month = day_of_month elif days_of_week: self.__days_of_week = set(days_of_week) if index: self.__index = index def set_yearly(self, interval, month, *, day_of_month=None, days_of_week=None, index=None, **kwargs): self.set_monthly(interval, day_of_month=day_of_month, days_of_week=days_of_week, index=index, **kwargs) self.__month = month class ResponseStatus(ApiComponent): """ An event response status (status, time) """ def __init__(self, parent, response_status): super().__init__(protocol=parent.protocol, main_resource=parent.main_resource) self.status = response_status.get(self._cc('response'), None) self.status = None if self.status == 'none' else self.status if self.status: self.response_time = response_status.get(self._cc('time'), None) if self.response_time: self.response_time = parse(self.response_time).astimezone(self.protocol.timezone) else: self.response_time = None def __str__(self): return self.status def __repr__(self): return self.__str__() class Attendee: """ A Event attendee """ def __init__(self, address, *, name=None, attendee_type=None, response_status=None, event=None): self._address = address self._name = name self._event = event if isinstance(response_status, ResponseStatus): self.__response_status = response_status else: self.__response_status = None self.__attendee_type = AttendeeType.Required if attendee_type: self.attendee_type = attendee_type def __str__(self): if self.name: return '{}: {} ({})'.format(self.attendee_type.name, self.name, self.address) else: return '{}: {}'.format(self.attendee_type.name, self.address) def __repr__(self): return self.__str__() @property def address(self): return self._address @address.setter def address(self, value): self._address = value self._name = '' self._track_changes() @property def name(self): return self._name @name.setter def name(self, value): self._name = value self._track_changes() def _track_changes(self): """ Update the track_changes on the event to reflect a needed update on this field """ self._event._track_changes.add('attendees') @property def response_status(self): return self.__response_status @property def attendee_type(self): return self.__attendee_type @attendee_type.setter def attendee_type(self, value): if isinstance(value, AttendeeType): self.__attendee_type = value else: self.__attendee_type = AttendeeType(value) self._track_changes() class Attendees(ApiComponent): """ A Collection of Attendees """ def __init__(self, event, attendees=None): super().__init__(protocol=event.protocol, main_resource=event.main_resource) self._event = event self.__attendees = [] if attendees: self.add(attendees) def __iter__(self): return iter(self.__attendees) def __getitem__(self, key): return self.__attendees[key] def __contains__(self, item): return item in {attendee.email for attendee in self.__attendees} def __len__(self): return len(self.__attendees) def __str__(self): return 'Attendees Count: {}'.format(len(self.__attendees)) def __repr__(self): return self.__str__() def clear(self): self.__attendees = [] self._track_changes() def _track_changes(self): """ Update the track_changes on the event to reflect a needed update on this field """ self._event._track_changes.add('attendees') def add(self, attendees): """ Add attendees to the parent event """ if attendees: if isinstance(attendees, str): self.__attendees.append(Attendee(address=attendees, event=self._event)) self._track_changes() elif isinstance(attendees, Attendee): self.__attendees.append(attendees) self._track_changes() elif isinstance(attendees, tuple): name, address = attendees if address: self.__attendees.append(Attendee(address=address, name=name, event=self._event)) self._track_changes() elif isinstance(attendees, list): for attendee in attendees: self.add(attendee) elif isinstance(attendees, dict) and self._cloud_data_key in attendees: attendees = attendees.get(self._cloud_data_key) for attendee in attendees: email = attendee.get(self._cc('emailAddress'), {}) address = email.get(self._cc('address'), None) if address: name = email.get(self._cc('name'), None) attendee_type = attendee.get(self._cc('type'), 'required') # default value self.__attendees.append( Attendee(address=address, name=name, attendee_type=attendee_type, event=self._event, response_status=ResponseStatus(parent=self, response_status=attendee.get(self._cc('status'), {})))) else: raise ValueError('Attendees must be an address string, an' ' Attendee instance, a (name, address) tuple or a list') def remove(self, attendees): """ Remove the provided attendees from the event """ if isinstance(attendees, (list, tuple)): attendees = {attendee.address if isinstance(attendee, Attendee) else attendee for attendee in attendees} elif isinstance(attendees, str): attendees = {attendees} elif isinstance(attendees, Attendee): attendees = {attendees.address} else: raise ValueError('Incorrect parameter type for attendees') new_attendees = [] for attendee in self.__attendees: if attendee.address not in attendees: new_attendees.append(attendee) self.__attendees = new_attendees self._track_changes() def to_api_data(self): data = [] for attendee in self.__attendees: if attendee.address: att_data = { self._cc('emailAddress'): { self._cc('address'): attendee.address, self._cc('name'): attendee.name }, self._cc('type'): attendee.attendee_type.value } data.append(att_data) return data class Event(ApiComponent, AttachableMixin, HandleRecipientsMixin): """ A Calendar event """ _endpoints = { 'calendar': '/calendars/{id}', 'event': '/events/{id}', 'event_default': '/calendar/events', 'event_calendar': '/calendars/{id}/events' } def __init__(self, *, parent=None, con=None, **kwargs): assert parent or con, 'Need a parent or a connection' self.con = parent.con if parent else con # Choose the main_resource passed in kwargs over the parent main_resource main_resource = kwargs.pop('main_resource', None) or getattr(parent, 'main_resource', None) if parent else None super().__init__(protocol=parent.protocol if parent else kwargs.get('protocol'), main_resource=main_resource) cc = self._cc # alias self._track_changes = TrackerSet(casing=cc) # internal to know which properties need to be updated on the server self.calendar_id = kwargs.get('calendar_id', None) download_attachments = kwargs.get('download_attachments') cloud_data = kwargs.get(self._cloud_data_key, {}) self.object_id = cloud_data.get(cc('id'), None) self.__subject = cloud_data.get(cc('subject'), kwargs.get('subject', '') or '') body = cloud_data.get(cc('body'), {}) self.__body = body.get(cc('content'), '') self.body_type = body.get(cc('contentType'), 'HTML') # default to HTML for new messages self.__attendees = Attendees(event=self, attendees={self._cloud_data_key: cloud_data.get(cc('attendees'), [])}) self.__categories = cloud_data.get(cc('categories'), []) self.__created = cloud_data.get(cc('createdDateTime'), None) self.__modified = cloud_data.get(cc('lastModifiedDateTime'), None) local_tz = self.protocol.timezone self.__created = parse(self.__created).astimezone(local_tz) if self.__created else None self.__modified = parse(self.__modified).astimezone(local_tz) if self.__modified else None start_obj = cloud_data.get(cc('start'), {}) if isinstance(start_obj, dict): try: timezone = pytz.timezone(self.protocol.get_iana_tz(start_obj.get(self._cc('timeZone'), 'UTC'))) except pytz.UnknownTimeZoneError: timezone = local_tz start = start_obj.get(cc('dateTime'), None) start = timezone.localize(parse(start)) if start else None if start and timezone != local_tz: start = start.astimezone(local_tz) else: # Outlook v1.0 api compatibility start = local_tz.localize(parse(start_obj)) if start_obj else None self.__start = start end_obj = cloud_data.get(cc('end'), {}) if isinstance(end_obj, dict): try: timezone = pytz.timezone(self.protocol.get_iana_tz(end_obj.get(self._cc('timeZone'), 'UTC'))) except pytz.UnknownTimeZoneError: timezone = local_tz end = end_obj.get(cc('dateTime'), None) end = timezone.localize(parse(end)) if end else None if end and timezone != local_tz: end = end.astimezone(local_tz) else: # Outlook v1.0 api compatibility end = local_tz.localize(parse(end_obj)) if end_obj else None self.__end = end self.has_attachments = cloud_data.get(cc('hasAttachments'), False) self.__attachments = EventAttachments(parent=self, attachments=[]) if self.has_attachments and download_attachments: self.attachments.download_attachments() self.__categories = cloud_data.get(cc('categories'), []) self.ical_uid = cloud_data.get(cc('iCalUId'), None) self.__importance = ImportanceLevel(cloud_data.get(cc('importance'), 'normal') or 'normal') self.__is_all_day = cloud_data.get(cc('isAllDay'), False) self.is_cancelled = cloud_data.get(cc('isCancelled'), False) self.is_organizer = cloud_data.get(cc('isOrganizer'), True) self.__location = cloud_data.get(cc('location'), {}).get(cc('displayName'), '') self.locations = cloud_data.get(cc('locations'), []) # TODO self.online_meeting_url = cloud_data.get(cc('onlineMeetingUrl'), None) self.__organizer = self._recipient_from_cloud(cloud_data.get(cc('organizer'), None), field='organizer') self.__recurrence = EventRecurrence(event=self, recurrence=cloud_data.get(cc('recurrence'), None)) self.__is_reminder_on = cloud_data.get(cc('isReminderOn'), True) self.__remind_before_minutes = cloud_data.get(cc('reminderMinutesBeforeStart'), 15) self.__response_requested = cloud_data.get(cc('responseRequested'), True) self.__response_status = ResponseStatus(parent=self, response_status=cloud_data.get(cc('responseStatus'), {})) self.__sensitivity = EventSensitivity(cloud_data.get(cc('sensitivity'), 'normal')) self.series_master_id = cloud_data.get(cc('seriesMasterId'), None) self.__show_as = EventShowAs(cloud_data.get(cc('showAs'), 'busy')) self.event_type = cloud_data.get(cc('type'), None) def __str__(self): return 'Subject: {}'.format(self.subject) def __repr__(self): return self.__str__() def to_api_data(self, restrict_keys=None): """ Returns a dict to comunicate with the server :param restrict_keys: a set of keys to restrict the returned data to. """ cc = self._cc # alias data = { cc('subject'): self.__subject, cc('body'): { cc('contentType'): self.body_type, cc('content'): self.__body}, cc('start'): { cc('dateTime'): self.__start.strftime('%Y-%m-%dT%H:%M:%S'), cc('timeZone'): self.protocol.get_windows_tz(self.__start.tzinfo.zone) }, cc('end'): { cc('dateTime'): self.__end.strftime('%Y-%m-%dT%H:%M:%S'), cc('timeZone'): self.protocol.get_windows_tz(self.__end.tzinfo.zone) }, cc('attendees'): self.__attendees.to_api_data(), cc('location'): {cc('displayName'): self.__location}, cc('categories'): self.__categories, cc('isAllDay'): self.__is_all_day, cc('importance'): self.__importance.value, cc('isReminderOn'): self.__is_reminder_on, cc('reminderMinutesBeforeStart'): self.__remind_before_minutes, cc('responseRequested'): self.__response_requested, cc('sensitivity'): self.__sensitivity.value, cc('showAs'): self.__show_as.value, } if self.__recurrence: data[cc('recurrence')] = self.__recurrence.to_api_data() if self.has_attachments: data[cc('attachments')] = self.__attachments.to_api_data() if restrict_keys: for key in list(data.keys()): if key not in restrict_keys: del data[key] return data @property def created(self): return self.__created @property def modified(self): return self.__modified @property def body(self): return self.__body @body.setter def body(self, value): self.__body = value self._track_changes.add('body') @property def subject(self): return self.__subject @subject.setter def subject(self, value): self.__subject = value self._track_changes.add('subject') @property def start(self): return self.__start @start.setter def start(self, value): if not isinstance(value, dt.date): raise ValueError("'start' must be a valid datetime object") if not isinstance(value, dt.datetime): # force datetime value = dt.datetime(value.year, value.month, value.day) if value.tzinfo is None: # localize datetime value = self.protocol.timezone.localize(value) elif value.tzinfo != self.protocol.timezone: value = value.astimezone(self.protocol.timezone) self.__start = value if not self.end: self.end = self.__start + dt.timedelta(minutes=30) self._track_changes.add('start') @property def end(self): return self.__end @end.setter def end(self, value): if not isinstance(value, dt.date): raise ValueError("'end' must be a valid datetime object") if not isinstance(value, dt.datetime): # force datetime value = dt.datetime(value.year, value.month, value.day) if value.tzinfo is None: # localize datetime value = self.protocol.timezone.localize(value) elif value.tzinfo != self.protocol.timezone: value = value.astimezone(self.protocol.timezone) self.__end = value self._track_changes.add('end') @property def importance(self): return self.__importance @importance.setter def importance(self, value): self.__importance = value if isinstance(value, ImportanceLevel) else ImportanceLevel(value) self._track_changes.add('importance') @property def is_all_day(self): return self.__is_all_day @is_all_day.setter def is_all_day(self, value): self.__is_all_day = value if value: # Api requirement: start and end must be set to midnight # is_all_day needs event.start included in the request on updates # is_all_day needs event.end included in the request on updates start = self.__start or dt.date.today() end = self.__end or dt.date.today() if (start + dt.timedelta(hours=24)) > end: # Api requires that under is_all_day=True start and end must be at least 24 hours away end = start + dt.timedelta(hours=24) # set to midnight start = dt.datetime(start.year, start.month, start.day) end = dt.datetime(end.year, end.month, end.day) self.start = start self.end = end self._track_changes.add('isAllDay') @property def location(self): return self.__location @location.setter def location(self, value): self.__location = value self._track_changes.add('location') @property def is_reminder_on(self): return self.__is_reminder_on @is_reminder_on.setter def is_reminder_on(self, value): self.__is_reminder_on = value self._track_changes.add('isReminderOn') self._track_changes.add('reminderMinutesBeforeStart') @property def remind_before_minutes(self): return self.__remind_before_minutes @remind_before_minutes.setter def remind_before_minutes(self, value): self.__is_reminder_on = True self.__remind_before_minutes = int(value) self._track_changes.add('isReminderOn') self._track_changes.add('reminderMinutesBeforeStart') @property def response_requested(self): return self.__response_requested @response_requested.setter def response_requested(self, value): self.__response_requested = value self._track_changes.add('responseRequested') @property def recurrence(self): return self.__recurrence @property def organizer(self): return self.__organizer @property def show_as(self): return self.__show_as @show_as.setter def show_as(self, value): self.__show_as = value if isinstance(value, EventShowAs) else EventShowAs(value) self._track_changes.add('showAs') @property def sensitivity(self): return self.__sensitivity @sensitivity.setter def sensitivity(self, value): self.__sensitivity = value if isinstance(value, EventSensitivity) else EventSensitivity(value) self._track_changes.add('sensitivity') @property def response_status(self): return self.__response_status @property def attachments(self): return self.__attachments @property def attendees(self): return self.__attendees @property def categories(self): return self.__categories @categories.setter def categories(self, value): if isinstance(value, list): self.__categories = value elif isinstance(value, str): self.__categories = [value] elif isinstance(value, tuple): self.__categories = list(value) else: raise ValueError('categories must be a list') self._track_changes.add('categories') def delete(self): """ Deletes a stored event """ if self.object_id is None: raise RuntimeError('Attempting to delete an unsaved event') url = self.build_url(self._endpoints.get('event').format(id=self.object_id)) try: response = self.con.delete(url) except Exception as e: log.error('Event (id: {}) could not be deleted. Error: {}'.format(self.object_id, str(e))) return False if response.status_code != 204: log.debug('Event (id: {}) could not be deleted. Reason: {}'.format(self.object_id, response.reason)) return False return True def save(self): """ Create a new event or update an existing one by checking what values have changed and update them on the server """ if self.object_id: # update event if not self._track_changes: return True # there's nothing to update url = self.build_url(self._endpoints.get('event').format(id=self.object_id)) method = self.con.patch data = self.to_api_data(restrict_keys=self._track_changes) else: # new event if self.calendar_id: url = self.build_url(self._endpoints.get('event_calendar').format(id=self.calendar_id)) else: url = self.build_url(self._endpoints.get('event_default')) method = self.con.post data = self.to_api_data() try: log.debug('Saving event properties: {}'.format(data.keys())) response = method(url, data=data) except Exception as e: log.error('Error while saving event. Error: {error}'.format(error=str(e))) return False if response.status_code not in (200, 201): # 200 updated, 201 created log.debug('Saving event Request failed: {}'.format(response.reason)) return False if not self.object_id: # new event event = response.json() self.object_id = event.get(self._cc('id'), None) self.__created = event.get(self._cc('createdDateTime'), None) self.__modified = event.get(self._cc('lastModifiedDateTime'), None) self.__created = parse(self.__created).astimezone(self.protocol.timezone) if self.__created else None self.__modified = parse(self.__modified).astimezone(self.protocol.timezone) if self.__modified else None else: self.__modified = self.protocol.timezone.localize(dt.datetime.now()) return True def accept_event(self, comment=None, *, send_response=True, tentatively=False): if not self.object_id: raise RuntimeError("Can't accept event that doesn't exist") url = self.build_url(self._endpoints.get('event').format(id=self.object_id)) url = url + '/tentativelyAccept' if tentatively else '/accept' data = {} if comment and isinstance(comment, str): data[self._cc('comment')] = comment if send_response is False: data[self._cc('sendResponse')] = send_response try: response = self.con.post(url, data=data or None) except Exception as e: log.error('Error while accepting event. Error: {error}'.format(error=str(e))) return False if response.status_code != 202: log.debug('Accepting event Request failed: {}'.format(response.reason)) return False return True def decline_event(self, comment=None, *, send_response=True): if not self.object_id: raise RuntimeError("Can't accept event that doesn't exist") url = self.build_url(self._endpoints.get('event').format(id=self.object_id)) url = url + '/decline' data = {} if comment and isinstance(comment, str): data[self._cc('comment')] = comment if send_response is False: data[self._cc('sendResponse')] = send_response try: response = self.con.post(url, data=data or None) except Exception as e: log.error('Error while declining event. Error: {error}'.format(error=str(e))) return False if response.status_code != 202: log.debug('Declining event Request failed: {}'.format(response.reason)) return False return True def get_body_text(self): """ Parse the body html and returns the body text using bs4 """ if self.body_type != 'HTML': return self.body try: soup = bs(self.body, 'html.parser') except Exception as e: return self.body else: return soup.body.text def get_body_soup(self): """ Returns the beautifulsoup4 of the html body""" if self.body_type != 'HTML': return None else: return bs(self.body, 'html.parser') class Calendar(ApiComponent, HandleRecipientsMixin): """ A Calendar Representation """ _endpoints = { 'calendar': '/calendars/{id}', 'get_events': '/calendars/{id}/events', 'get_event': '/calendars/{id}/events/{ide}' } event_constructor = Event def __init__(self, *, parent=None, con=None, **kwargs): assert parent or con, 'Need a parent or a connection' self.con = parent.con if parent else con # Choose the main_resource passed in kwargs over the parent main_resource main_resource = kwargs.pop('main_resource', None) or getattr(parent, 'main_resource', None) if parent else None super().__init__(protocol=parent.protocol if parent else kwargs.get('protocol'), main_resource=main_resource) cloud_data = kwargs.get(self._cloud_data_key, {}) self.name = cloud_data.get(self._cc('name'), '') self.calendar_id = cloud_data.get(self._cc('id'), None) self.__owner = self._recipient_from_cloud(cloud_data.get(self._cc('owner'), {}), field='owner') color = cloud_data.get(self._cc('color'), -1) if isinstance(color, str): color = -1 if color == 'auto' else color # TODO: other string colors? self.color = CalendarColors(color) self.can_edit = cloud_data.get(self._cc('canEdit'), False) self.can_share = cloud_data.get(self._cc('canShare'), False) self.can_view_private_items = cloud_data.get(self._cc('canViewPrivateItems'), False) def __str__(self): return 'Calendar: {} from {}'.format(self.name, self.owner) def __repr__(self): return self.__str__() @property def owner(self): return self.__owner def update(self): """ Updates this calendar. Only name and color can be changed. """ if not self.calendar_id: return False url = self.build_url(self._endpoints.get('calendar')) data = { self._cc('name'): self.name, self._cc('color'): self.color.value if isinstance(self.color, CalendarColors) else self.color } try: response = self.con.patch(url, data=data) except Exception as e: log.error('Error updating calendar {}. Error: {}'.format(self.calendar_id, str(e))) return False if response.status_code != 201: log.debug('Updating calendar (id: {}) Request failed: {}'.format(self.calendar_id, response.reason)) return False return True def delete(self): """ Deletes this calendar """ if not self.calendar_id: return False url = self.build_url(self._endpoints.get('calendar').format(id=self.calendar_id)) try: response = self.con.delete(url) except Exception as e: log.error('Error deleting calendar {}. Error: {}'.format(self.name, str(e))) return False if response.status_code != 204: log.debug('Deleting calendar Request failed: {}'.format(response.reason)) return False self.calendar_id = None return True def get_events(self, limit=25, *, query=None, order_by=None, batch=None, download_attachments=False): """ Get events from the default Calendar :param limit: limits the result set. Over 999 uses batch. :param query: applies a filter to the request such as 'displayName:HelloFolder' :param order_by: orders the result set based on this condition :param batch: Returns a custom iterator that retrieves items in batches allowing to retrieve more items than the limit. Download_attachments is ignored. :param download_attachments: downloads event attachments """ url = self.build_url(self._endpoints.get('get_events').format(id=self.calendar_id)) if limit is None or limit > self.protocol.max_top_value: batch = self.protocol.max_top_value if batch: download_attachments = False params = {'$top': batch if batch else limit} if order_by: params['$orderby'] = order_by if query: if isinstance(query, str): params['$filter'] = query else: params.update(query.as_params()) try: response = self.con.get(url, params=params, headers={'Prefer': 'outlook.timezone="UTC"'}) except Exception as e: log.error('Error donwloading events. Error {}'.format(e)) return [] if response.status_code != 200: log.debug('Getting events Request failed: {}'.format(response.reason)) return [] data = response.json() # Everything received from the cloud must be passed with self._cloud_data_key events = [self.event_constructor(parent=self, download_attachments=download_attachments, **{self._cloud_data_key: event}) for event in data.get('value', [])] if batch: return Pagination(parent=self, data=events, constructor=self.event_constructor, next_link=data.get(NEXT_LINK_KEYWORD, None), limit=limit) else: return events def new_event(self, subject=None): """ Returns a new (unsaved) Event object """ return self.event_constructor(parent=self, subject=subject, calendar_id=self.calendar_id) def get_event(self, param): """Returns an Event instance by it's id :param param: an event_id or a Query instance """ if param is None: return None if isinstance(param, str): url = self.build_url(self._endpoints.get('get_event').format(id=self.calendar_id, ide=param)) params = None else: url = self.build_url(self._endpoints.get('get_events').format(id=self.calendar_id)) params = {'$top': 1} params.update(param.as_params()) try: response = self.con.get(url, params=params, headers={'Prefer': 'outlook.timezone="UTC"'}) except Exception as e: log.error('Error getting event: {}. Error {}'.format(param, e)) return None if response.status_code != 200: log.debug('Getting event Request failed: {}'.format(response.reason)) return None if isinstance(param, str): event = response.json() else: event = response.json().get('value', []) if event: event = event[0] else: return None return self.event_constructor(parent=self, **{self._cloud_data_key: event}) class Schedule(ApiComponent): """ A Wrapper around calendars and events""" _endpoints = { 'root_calendars': '/calendars', 'get_calendar': '/calendars/{id}', 'default_calendar': '/calendar', 'events': '/calendar/events' } calendar_constructor = Calendar event_constructor = Event def __init__(self, *, parent=None, con=None, **kwargs): assert parent or con, 'Need a parent or a connection' self.con = parent.con if parent else con # Choose the main_resource passed in kwargs over the parent main_resource main_resource = kwargs.pop('main_resource', None) or getattr(parent, 'main_resource', None) if parent else None super().__init__(protocol=parent.protocol if parent else kwargs.get('protocol'), main_resource=main_resource) def __str__(self): return 'Schedule resource: {}'.format(self.main_resource) def __repr__(self): return self.__str__() def list_calendars(self, limit=None, *, query=None, order_by=None): """ Gets a list of calendars To use query an order_by check the OData specification here: http://docs.oasis-open.org/odata/odata/v4.0/errata03/os/complete/part2-url-conventions/odata-v4.0-errata03-os-part2-url-conventions-complete.html :param limit: Number of elements to return. :param query: a OData valid filter clause :param order_by: OData valid order by clause """ url = self.build_url(self._endpoints.get('root_calendars')) params = {} if limit: params['$top'] = limit if query: params['$filter'] = str(query) if order_by: params['$orderby'] = order_by try: response = self.con.get(url, params=params or None) except Exception as e: log.error('Error getting calendars. Error {}'.format(str(e))) return [] if response.status_code != 200: log.debug('Getting calendars Request failed: {}'.format(response.reason)) return [] data = response.json() # Everything received from the cloud must be passed with self._cloud_data_key contacts = [self.calendar_constructor(parent=self, **{self._cloud_data_key: calendar}) for calendar in data.get('value', [])] return contacts def new_calendar(self, calendar_name): """ Creates a new calendar :return a new Calendar instance """ if not calendar_name: return None url = self.build_url(self._endpoints.get('root_calendars')) try: response = self.con.post(url, data={self._cc('name'): calendar_name}) except Exception as e: log.error('Error creating new calendar. Error: {}'.format(str(e))) return None if response.status_code != 201: log.debug('Creating new calendar Request failed: {}'.format(response.reason)) return None calendar = response.json() # Everything received from the cloud must be passed with self._cloud_data_key return self.calendar_constructor(parent=self, **{self._cloud_data_key: calendar}) def get_calendar(self, calendar_id=None, calendar_name=None): """ Returns a calendar by it's id or name :param calendar_id: the calendar id to be retrieved. :param calendar_name: the calendar name to be retrieved. """ if calendar_id and calendar_name: raise RuntimeError('Provide only one of the options') if not calendar_id and not calendar_name: raise RuntimeError('Provide one of the options') if calendar_id: # get calendar by it's id url = self.build_url(self._endpoints.get('get_calendar').format(id=calendar_id)) params = None else: # get calendar by name url = self.build_url(self._endpoints.get('root_calendars')) params = {'$filter': "{} eq '{}'".format(self._cc('name'), calendar_name), '$top': 1} try: response = self.con.get(url, params=params) except Exception as e: log.error('Error getting calendar {}. Error: {}'.format(calendar_id or calendar_name, str(e))) return None if response.status_code != 200: log.debug('Getting calendar Request failed: {}'.format(response.reason)) return None if calendar_id: calendar = response.json() else: calendar = response.json().get('value') calendar = calendar[0] if calendar else None if calendar is None: return None # Everything received from the cloud must be passed with self._cloud_data_key return self.calendar_constructor(parent=self, **{self._cloud_data_key: calendar}) def get_default_calendar(self): """ Returns the default calendar for the current user """ url = self.build_url(self._endpoints.get('default_calendar')) try: response = self.con.get(url) except Exception as e: log.error('Error getting default calendar. Error: {}'.format(e)) return None if response.status_code != 200: log.debug('Getting default calendar Request failed: {}'.format(response.reason)) return None calendar = response.json() # Everything received from the cloud must be passed with self._cloud_data_key return self.calendar_constructor(parent=self, **{self._cloud_data_key: calendar}) def get_events(self, limit=25, *, query=None, order_by=None, batch=None, download_attachments=False): """ Get events from the default Calendar :param limit: limits the result set. Over 999 uses batch. :param query: applies a filter to the request such as 'displayName:HelloFolder' :param order_by: orders the result set based on this condition :param batch: Returns a custom iterator that retrieves items in batches allowing to retrieve more items than the limit. Download_attachments is ignored. :param download_attachments: downloads event attachments """ url = self.build_url(self._endpoints.get('events')) if limit is None or limit > self.protocol.max_top_value: batch = self.protocol.max_top_value if batch: download_attachments = False params = {'$top': batch if batch else limit} if order_by: params['$orderby'] = order_by if query: if isinstance(query, str): params['$filter'] = query else: params.update(query.as_params()) try: response = self.con.get(url, params=params, headers={'Prefer': 'outlook.timezone="UTC"'}) except Exception as e: log.error('Error donwloading events. Error {}'.format(e)) return [] if response.status_code != 200: log.debug('Getting events Request failed: {}'.format(response.reason)) return [] data = response.json() # Everything received from the cloud must be passed with self._cloud_data_key events = [self.event_constructor(parent=self, download_attachments=download_attachments, **{self._cloud_data_key: event}) for event in data.get('value', [])] if batch: return Pagination(parent=self, data=events, constructor=self.event_constructor, next_link=data.get(NEXT_LINK_KEYWORD, None), limit=limit) else: return events def new_event(self, subject=None): """ Returns a new (unsaved) Event object in the default calendar """ return self.event_constructor(parent=self, subject=subject)

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axelrod/tests/strategies/test_gambler.py

nandhinianandj/Axelrod

596

130818

<filename>axelrod/tests/strategies/test_gambler.py """Test for the Gambler strategy. Most tests come from the LookerUp test suite. """ import copy import unittest import axelrod as axl from axelrod.load_data_ import load_pso_tables from axelrod.strategies.lookerup import create_lookup_table_keys from .test_evolvable_player import PartialClass, TestEvolvablePlayer from .test_lookerup import convert_original_to_current from .test_player import TestPlayer tables = load_pso_tables("pso_gambler.csv", directory="data") C, D = axl.Action.C, axl.Action.D random = axl.RandomGenerator() class TestGambler(TestPlayer): name = "Gambler" player = axl.Gambler expected_classifier = { "memory_depth": 1, "stochastic": True, "makes_use_of": set(), "long_run_time": False, "inspects_source": False, "manipulates_source": False, "manipulates_state": False, } expected_class_classifier = copy.copy(expected_classifier) def test_strategy(self): tft_table = {((), (D,), ()): 0, ((), (C,), ()): 1} self.versus_test( axl.Alternator(), expected_actions=[(C, C)] + [(C, D), (D, C)] * 5, init_kwargs={"lookup_dict": tft_table}, ) def test_stochastic_values(self): stochastic_lookup = {((), (), ()): 0.3} expected_actions = [(C, C), (D, C), (D, C), (C, C), (D, C)] self.versus_test( axl.Cooperator(), expected_actions=expected_actions, init_kwargs={"lookup_dict": stochastic_lookup}, seed=80, ) class TestPSOGamblerMem1(TestPlayer): name = "PSO Gambler Mem1" player = axl.PSOGamblerMem1 expected_classifier = { "memory_depth": 1, "stochastic": True, "makes_use_of": set(), "long_run_time": False, "inspects_source": False, "manipulates_source": False, "manipulates_state": False, } expected_class_classifier = copy.copy(expected_classifier) def test_new_data(self): original_data = { ("", "C", "C"): 1.0, ("", "C", "D"): 0.52173487, ("", "D", "C"): 0.0, ("", "D", "D"): 0.12050939, } converted_original = convert_original_to_current(original_data) self.assertEqual(self.player().lookup_dict, converted_original) def test_strategy(self): vs_cooperator = [(C, C)] * 5 self.versus_test(axl.Cooperator(), expected_actions=vs_cooperator) def test_defects_forever_with_correct_conditions(self): opponent_actions = [D, D] + [C] * 10 expected = [(C, D), (C, D), (D, C)] + [(D, C)] * 9 self.versus_test( axl.MockPlayer(actions=opponent_actions), expected_actions=expected, seed=1, ) class TestPSOGambler1_1_1(TestPlayer): name = "PSO Gambler 1_1_1" player = axl.PSOGambler1_1_1 expected_classifier = { "memory_depth": float("inf"), "stochastic": True, "makes_use_of": set(), "long_run_time": False, "inspects_source": False, "manipulates_source": False, "manipulates_state": False, } def test_new_data(self): original_data = { ("C", "C", "C"): 1.0, ("C", "C", "D"): 0.12304797, ("C", "D", "C"): 0.0, ("C", "D", "D"): 0.13581423, ("D", "C", "C"): 1.0, ("D", "C", "D"): 0.57740178, ("D", "D", "C"): 0.0, ("D", "D", "D"): 0.11886807, } converted_original = convert_original_to_current(original_data) self.assertEqual(self.player().lookup_dict, converted_original) def test_cooperate_forever(self): opponent = [D] * 3 + [C] * 10 expected = [(C, D), (D, D), (D, D)] + [(C, C)] * 10 self.versus_test( axl.MockPlayer(opponent), expected_actions=expected, seed=4 ) def test_defect_forever(self): opponent_actions = [C] + [D] + [C] * 10 expected = [(C, C), (C, D)] + [(D, C)] * 10 self.versus_test( axl.MockPlayer(opponent_actions), expected_actions=expected, seed=2 ) def test_defect_forever2(self): opponent_actions = [D] + [C] * 10 expected = [(C, D)] + [(D, C)] * 10 self.versus_test( axl.MockPlayer(opponent_actions), expected_actions=expected, seed=4 ) class TestPSOGambler2_2_2(TestPlayer): name = "PSO Gambler 2_2_2" player = axl.PSOGambler2_2_2 expected_classifier = { "memory_depth": float("inf"), "stochastic": True, "makes_use_of": set(), "long_run_time": False, "inspects_source": False, "manipulates_source": False, "manipulates_state": False, } def test_new_data(self): original_data = { ("CC", "CC", "CC"): 1.0, ("CC", "CC", "CD"): 1.0, ("CC", "CC", "DC"): 0.0, ("CC", "CC", "DD"): 0.02126434, ("CC", "CD", "CC"): 0.0, ("CC", "CD", "CD"): 1.0, ("CC", "CD", "DC"): 1.0, ("CC", "CD", "DD"): 0.0, ("CC", "DC", "CC"): 0.0, ("CC", "DC", "CD"): 0.0, ("CC", "DC", "DC"): 0.0, ("CC", "DC", "DD"): 0.0, ("CC", "DD", "CC"): 0.0, ("CC", "DD", "CD"): 0.0, ("CC", "DD", "DC"): 0.0, ("CC", "DD", "DD"): 1.0, ("CD", "CC", "CC"): 1.0, ("CD", "CC", "CD"): 0.95280465, ("CD", "CC", "DC"): 0.80897541, ("CD", "CC", "DD"): 0.0, ("CD", "CD", "CC"): 0.0, ("CD", "CD", "CD"): 0.0, ("CD", "CD", "DC"): 0.0, ("CD", "CD", "DD"): 0.65147565, ("CD", "DC", "CC"): 0.15412392, ("CD", "DC", "CD"): 0.24922166, ("CD", "DC", "DC"): 0.0, ("CD", "DC", "DD"): 0.0, ("CD", "DD", "CC"): 0.0, ("CD", "DD", "CD"): 0.0, ("CD", "DD", "DC"): 0.0, ("CD", "DD", "DD"): 0.24523149, ("DC", "CC", "CC"): 1.0, ("DC", "CC", "CD"): 0.0, ("DC", "CC", "DC"): 0.0, ("DC", "CC", "DD"): 0.43278586, ("DC", "CD", "CC"): 1.0, ("DC", "CD", "CD"): 0.0, ("DC", "CD", "DC"): 0.23563137, ("DC", "CD", "DD"): 1.0, ("DC", "DC", "CC"): 1.0, ("DC", "DC", "CD"): 1.0, ("DC", "DC", "DC"): 0.00227615, ("DC", "DC", "DD"): 0.0, ("DC", "DD", "CC"): 0.0, ("DC", "DD", "CD"): 0.0, ("DC", "DD", "DC"): 0.0, ("DC", "DD", "DD"): 1.0, ("DD", "CC", "CC"): 0.0, ("DD", "CC", "CD"): 0.0, ("DD", "CC", "DC"): 0.0, ("DD", "CC", "DD"): 0.0, ("DD", "CD", "CC"): 0.15140743, ("DD", "CD", "CD"): 0.0, ("DD", "CD", "DC"): 0.0, ("DD", "CD", "DD"): 0.0, ("DD", "DC", "CC"): 0.0, ("DD", "DC", "CD"): 0.0, ("DD", "DC", "DC"): 0.0, ("DD", "DC", "DD"): 1.0, ("DD", "DD", "CC"): 0.0, ("DD", "DD", "CD"): 1.0, ("DD", "DD", "DC"): 0.77344942, ("DD", "DD", "DD"): 0.0, } converted_original = convert_original_to_current(original_data) self.assertEqual(self.player().lookup_dict, converted_original) def test_vs_defector(self): expected = [(C, D), (C, D)] + [(D, D)] * 10 self.versus_test(axl.Defector(), expected_actions=expected) def test_vs_cooperator(self): expected = [(C, C)] * 10 self.versus_test(axl.Cooperator(), expected_actions=expected) def test_vs_alternator(self): expected = [(C, C), (C, D), (C, C), (D, D), (D, C), (D, D), (D, C)] self.versus_test(axl.Alternator(), expected_actions=expected, seed=20) def test_vs_DCDDC(self): opponent_actions = [D, C, D, D, C] expected = [ (C, D), (C, C), (D, D), (D, D), (C, C), (D, D), (D, C), (D, D), (D, D), (C, C), ] self.versus_test( axl.MockPlayer(actions=opponent_actions), expected_actions=expected, seed=2, ) def test_vs_DCDDC2(self): opponent_actions = [D, C, D, D, C] expected = [ (C, D), (C, C), (D, D), (D, D), (C, C), (D, D), (D, C), (D, D), (D, D), (C, C), ] expected[5] = (C, D) self.versus_test( axl.MockPlayer(actions=opponent_actions), expected_actions=expected, seed=531, ) class TestPSOGambler2_2_2_Noise05(TestPlayer): name = "PSO Gambler 2_2_2 Noise 05" player = axl.PSOGambler2_2_2_Noise05 expected_classifier = { "memory_depth": float("inf"), "stochastic": True, "makes_use_of": set(), "long_run_time": False, "inspects_source": False, "manipulates_source": False, "manipulates_state": False, } def test_new_data(self): original_data = { ("CC", "CC", "CC"): 1.0, ("CC", "CC", "CD"): 0.0, ("CC", "CC", "DC"): 1.0, ("CC", "CC", "DD"): 0.63548102, ("CC", "CD", "CC"): 1.0, ("CC", "CD", "CD"): 1.0, ("CC", "CD", "DC"): 1.0, ("CC", "CD", "DD"): 0.0, ("CC", "DC", "CC"): 0.0, ("CC", "DC", "CD"): 1.0, ("CC", "DC", "DC"): 0.0, ("CC", "DC", "DD"): 0.0, ("CC", "DD", "CC"): 1.0, ("CC", "DD", "CD"): 0.0, ("CC", "DD", "DC"): 0.0, ("CC", "DD", "DD"): 0.0, ("CD", "CC", "CC"): 1.0, ("CD", "CC", "CD"): 1.0, ("CD", "CC", "DC"): 0.0, ("CD", "CC", "DD"): 0.0, ("CD", "CD", "CC"): 0.0, ("CD", "CD", "CD"): 0.13863175, ("CD", "CD", "DC"): 1.0, ("CD", "CD", "DD"): 0.7724137, ("CD", "DC", "CC"): 0.0, ("CD", "DC", "CD"): 1.0, ("CD", "DC", "DC"): 0.0, ("CD", "DC", "DD"): 0.07127653, ("CD", "DD", "CC"): 0.0, ("CD", "DD", "CD"): 1.0, ("CD", "DD", "DC"): 0.28124022, ("CD", "DD", "DD"): 0.0, ("DC", "CC", "CC"): 0.0, ("DC", "CC", "CD"): 0.98603825, ("DC", "CC", "DC"): 0.0, ("DC", "CC", "DD"): 0.0, ("DC", "CD", "CC"): 1.0, ("DC", "CD", "CD"): 0.06434619, ("DC", "CD", "DC"): 1.0, ("DC", "CD", "DD"): 1.0, ("DC", "DC", "CC"): 1.0, ("DC", "DC", "CD"): 0.50999729, ("DC", "DC", "DC"): 0.00524508, ("DC", "DC", "DD"): 1.0, ("DC", "DD", "CC"): 1.0, ("DC", "DD", "CD"): 1.0, ("DC", "DD", "DC"): 1.0, ("DC", "DD", "DD"): 1.0, ("DD", "CC", "CC"): 0.0, ("DD", "CC", "CD"): 1.0, ("DD", "CC", "DC"): 0.16240799, ("DD", "CC", "DD"): 0.0, ("DD", "CD", "CC"): 0.0, ("DD", "CD", "CD"): 1.0, ("DD", "CD", "DC"): 1.0, ("DD", "CD", "DD"): 0.0, ("DD", "DC", "CC"): 0.0, ("DD", "DC", "CD"): 1.0, ("DD", "DC", "DC"): 0.87463905, ("DD", "DC", "DD"): 0.0, ("DD", "DD", "CC"): 0.0, ("DD", "DD", "CD"): 1.0, ("DD", "DD", "DC"): 0.0, ("DD", "DD", "DD"): 0.0, } converted_original = convert_original_to_current(original_data) self.assertEqual(self.player().lookup_dict, converted_original) def test_vs_defector(self): expected = [(C, D), (C, D)] + [(D, D)] * 10 self.versus_test(axl.Defector(), expected_actions=expected) def test_vs_cooperator(self): expected = [(C, C)] * 10 self.versus_test(axl.Cooperator(), expected_actions=expected) def test_vs_alternator(self): expected = [(C, C), (C, D), (C, C), (D, D), (D, C), (D, D), (C, C)] self.versus_test(axl.Alternator(), expected_actions=expected, seed=2) def test_vs_alternator2(self): expected = [(C, C), (C, D), (C, C), (D, D), (D, C), (D, D), (C, C)] expected[4] = (C, C) expected[6] = (D, C) self.versus_test(axl.Alternator(), expected_actions=expected, seed=3) def test_vs_DCDDC(self): opponent_actions = [D, C, D, D, C] expected = [ (C, D), (C, C), (D, D), (D, D), (C, C), (D, D), (D, C), (C, D), (C, D), ] self.versus_test( axl.MockPlayer(opponent_actions), expected_actions=expected, seed=1 ) def test_vs_DCDDC2(self): opponent_actions = [D, C, D, D, C] expected = [ (C, D), (C, C), (D, D), (D, D), (C, C), (D, D), (D, C), (C, D), (D, D), # different than above test ] self.versus_test( axl.MockPlayer(opponent_actions), expected_actions=expected, seed=5, ) def test_vs_DCDDC3(self): opponent_actions = [D, C, D, D, C] expected = [ (C, D), (C, C), (D, D), (D, D), (C, C), (D, D), (D, C), (C, C), # different than above test (D, D), # different than above test (D, D), # different than above test ] new_expected = expected[:6] + [(C, C), (D, D), (D, D)] self.versus_test( axl.MockPlayer(opponent_actions), expected_actions=new_expected, seed=10, ) class TestZDMem2(TestPlayer): name = "ZD-Mem2" player = axl.ZDMem2 expected_classifier = { "memory_depth": 2, "stochastic": True, "makes_use_of": set(), "long_run_time": False, "inspects_source": False, "manipulates_source": False, "manipulates_state": False, } def test_new_data(self): original_data = { ("", "CC", "CC"): 11 / 12, ("", "CC", "CD"): 4 / 11, ("", "CC", "DC"): 7 / 9, ("", "CC", "DD"): 1 / 10, ("", "CD", "CC"): 5 / 6, ("", "CD", "CD"): 3 / 11, ("", "CD", "DC"): 7 / 9, ("", "CD", "DD"): 1 / 10, ("", "DC", "CC"): 2 / 3, ("", "DC", "CD"): 1 / 11, ("", "DC", "DC"): 7 / 9, ("", "DC", "DD"): 1 / 10, ("", "DD", "CC"): 3 / 4, ("", "DD", "CD"): 2 / 11, ("", "DD", "DC"): 7 / 9, ("", "DD", "DD"): 1 / 10, } converted_original = convert_original_to_current(original_data) self.assertEqual(self.player().lookup_dict, converted_original) def test_vs_defector(self): expected = [ (C, D), (C, D), (D, D), (D, D), (D, D), (D, D), (D, D), (D, D), (C, D), (D, D), ] self.versus_test(axl.Defector(), expected_actions=expected, seed=30) def test_vs_cooperator(self): expected = [ (C, C), (C, C), (C, C), (C, C), (C, C), (D, C), (C, C), (D, C), (C, C), (C, C), ] self.versus_test(axl.Cooperator(), expected_actions=expected, seed=33) def test_vs_alternator(self): expected = [(C, C), (C, D), (D, C), (D, D), (C, C), (C, D), (D, C)] self.versus_test(axl.Alternator(), expected_actions=expected, seed=42) def test_vs_alternator2(self): expected = [(C, C), (C, D), (C, C), (D, D), (D, C), (C, D), (D, C)] self.versus_test(axl.Alternator(), expected_actions=expected, seed=67) class TestEvolvableGambler(unittest.TestCase): def test_receive_vector(self): plays, op_plays, op_start_plays = 1, 1, 1 player = axl.EvolvableGambler( parameters=(plays, op_plays, op_start_plays), seed=1 ) self.assertRaises( AttributeError, axl.EvolvableGambler.__getattribute__, *[player, "vector"] ) vector = [random.random() for _ in range(8)] player.receive_vector(vector) self.assertEqual(player.pattern, vector) def test_vector_to_instance(self): plays, op_plays, op_start_plays = 1, 1, 1 player = axl.EvolvableGambler( parameters=(plays, op_plays, op_start_plays), seed=1 ) vector = [random.random() for _ in range(8)] player.receive_vector(vector) keys = create_lookup_table_keys( player_depth=plays, op_depth=op_plays, op_openings_depth=op_start_plays, ) action_dict = dict(zip(keys, vector)) self.assertEqual(player._lookup.dictionary, action_dict) def test_create_vector_bounds(self): plays, op_plays, op_start_plays = 1, 1, 1 player = axl.EvolvableGambler( parameters=(plays, op_plays, op_start_plays), seed=1 ) lb, ub = player.create_vector_bounds() self.assertIsInstance(lb, list) self.assertIsInstance(ub, list) self.assertEqual(len(lb), 8) self.assertEqual(len(ub), 8) def test_mutate_value_bounds(self): player = axl.EvolvableGambler(parameters=(1, 1, 1), seed=0) self.assertEqual(player.mutate_value(2), 1) self.assertEqual(player.mutate_value(-2), 0) class TestEvolvableGambler2(TestEvolvablePlayer): name = "EvolvableGambler" player_class = axl.EvolvableGambler parent_class = axl.Gambler parent_kwargs = ["lookup_dict"] init_parameters = {"parameters": (1, 1, 1), "initial_actions": (C,)} class TestEvolvableGambler3(TestEvolvablePlayer): name = "EvolvableGambler" player_class = axl.EvolvableGambler parent_class = axl.Gambler parent_kwargs = ["lookup_dict"] init_parameters = { "parameters": (3, 2, 1), "initial_actions": ( C, C, C, ), } class TestEvolvableGambler4(TestEvolvablePlayer): name = "EvolvableGambler" player_class = axl.EvolvableGambler parent_class = axl.Gambler parent_kwargs = ["lookup_dict"] init_parameters = { "parameters": (2, 2, 2), "pattern": [random.random() for _ in range(64)], "initial_actions": ( C, C, ), } # Substitute EvolvableHMMPlayer as a regular HMMPlayer. EvolvableGamblerWithDefault = PartialClass( axl.EvolvableGambler, pattern=tables[("PSO Gambler 2_2_2", 2, 2, 2)], parameters=(2, 2, 2), initial_actions=( C, C, ), ) class EvolvableGamblerAsGambler(TestPSOGambler2_2_2): player = EvolvableGamblerWithDefault def test_equality_of_clone(self): pass def test_equality_of_pickle_clone(self): pass def test_repr(self): pass

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replay_buffer.py

zhihanyang2022/pytorch-a2c

0

180804

from collections import namedtuple import random import numpy as np import torch # very exhaustive but as a result code is very easy to read ;) Transition = namedtuple('Transition', 's a r done') Transitions = namedtuple('Transitions', 's a r done') # functionally the same as Transition NStepTransitions = namedtuple('Batch', 's a n_step_sum_of_r n_step_s done_within_n_step') # each item corresponds to a tensor class SequentialBuffer: def __init__(self, gamma: float, n_step: int): self.memory = [] self.gamma = gamma self.n_step = n_step def push(self, transition: Transition) -> None: self.memory.append(transition) def instantiate_NStepTransitions_and_empty_buffer(self) -> NStepTransitions: """We empty the buffer because this is an on-policy algorithm.""" dummy_transition = Transition(np.zeros((self.memory[0].s.shape)), 0, 0, 0) memory_with_dummies = self.memory + [dummy_transition] * (self.n_step - 1) transitions = Transitions(*zip(*memory_with_dummies)) length = len(self.memory) # not computed with memory_with_dummies s = torch.tensor(transitions.s[:-(self.n_step-1) or None], dtype=torch.float).view(length, -1) a = torch.tensor(transitions.a[:-(self.n_step-1) or None], dtype=torch.long ).view(length, 1) n_step_s = torch.tensor(transitions.s[self.n_step-1:], dtype=torch.float).view(length, -1) # last few are dummies and their values will be ignored conveniently through done_within_n_step n_step_sum_of_r = np.zeros((len(self.memory),)) done_within_n_step = np.zeros((len(self.memory),)) # including the zeroth and the (n-1)th step for t in range(len(transitions.r[:-(self.n_step-1) or None])): # t = 0, 1, ..., T-1, (T, ..., T+n_step-1), where bracket terms due to dummies sum = 0 for i in range(self.n_step): # from 0 to n_step - 1 inclusive; exactly what we want sum += (self.gamma ** i) * transitions.r[t+i] if transitions.done[t+i]: done_within_n_step[t] = 1 # indicates that we shouldn't care about the value of n_step_s break n_step_sum_of_r[t] = sum n_step_sum_of_r = torch.tensor(n_step_sum_of_r, dtype=torch.float).view(length, 1) done_within_n_step = torch.tensor(done_within_n_step, dtype=torch.long).view(length, 1) self.memory = [] return NStepTransitions(s, a, n_step_sum_of_r, n_step_s, done_within_n_step) # for SIL # no done is needed here because we only need to calculate the monte-carlo return for one episode at a time TransitionWithoutDone = namedtuple('TransitionWithoutDone', 's a r') TransitionWithoutDoneWithReturn = namedtuple('TransitionWithoutDoneWithReturn', 's a R') MonteCarloTransitions = namedtuple('MonteCarloTransitions', 's a R') class SILBuffer: def __init__(self, gamma: float): self.memory = [] self.current_episode = [] self.gamma = gamma def push(self, transition: TransitionWithoutDone) -> None: self.current_episode.append(transition) def process_and_empty_current_episode(self) -> None: discounted_return = 0 for transition in reversed(self.current_episode): discounted_return = transition.r + self.gamma * discounted_return self.memory.append(TransitionWithoutDoneWithReturn(transition.s, transition.a, discounted_return)) self.current_episode = [] def ready_for(self, batch_size: int) -> bool: return len(self.memory) >= batch_size def sample(self, batch_size: int) -> MonteCarloTransitions: transitions = random.sample(self.memory, batch_size) transitions = MonteCarloTransitions(*zip(*transitions)) s = torch.tensor(transitions.s, dtype=torch.float).view(batch_size, -1) a = torch.tensor(transitions.a, dtype=torch.long ).view(batch_size, 1) R = torch.tensor(transitions.R, dtype=torch.float).view(batch_size, 1) return MonteCarloTransitions(s, a, R)

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0_numpy_lineare_algebra/assignments/learntools/challenges/challenge2.py

layerwise/training

0

41754

<filename>0_numpy_lineare_algebra/assignments/learntools/challenges/challenge2.py import pandas as pd import os import numpy as np from learntools.core import * class Evaluation(CodingProblem): show_solution_on_correct = False _vars = ["data_path", "results"] _hints = [ """Checking your solution requires that the file 'AmesIowaHousingData_test_with_labels.csv' be available at `data_path`.""" ] def check(self, *args): data_path = args[0] results = args[1] data_file = 'AmesIowaHousingData_test_with_labels.csv' assert_file_exists(os.path.join(data_path, data_file)) test_df = pd.read_csv(os.path.join(data_path, data_file), index_col=0) y_true = test_df.loc[:, "SalePrice"] if not set(y_true.index).issubset(set(results.keys())): missing = set(y_true.index).difference(set(results.keys())) print(f"Es gibt noch keine Vorhersage für die folgenden `id`s") for missing_id in missing: print(missing_id) assert False if not set(results.keys()).issubset(set(y_true.index)): additional = set(results.keys()).difference(set(y_true.index)) print("Es gibt Vorhersagen für nicht vorhandene `id`s. Diese sind") for additional_id in additional: print(additional_id) assert False error = 0 for id_, y_pred in results.items(): error += np.abs(y_true.loc[id_] - y_pred) mean_error = error / len(y_true) print(f"Sie liegen durchschnittlich falsch um {np.round(mean_error)} US-Dollar.") assert True qvars = bind_exercises(globals(), [ Evaluation ], ) __all__ = list(qvars)

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apps/core/views/ServerEditView.py

Couapy/mc-manager

0

85462

<gh_stars>0 from core.exceptions import NotRunningError from core.forms import ServerForm from core.models import Server from django.contrib import messages from django.contrib.auth.decorators import login_required from django.shortcuts import (HttpResponseRedirect, get_object_or_404, render, reverse) from django.utils.decorators import method_decorator from django.views import View from core.decorators import CheckServerAuthorization, owner_expected @method_decorator(login_required, name='dispatch') @method_decorator(CheckServerAuthorization('manage'), name='dispatch') class ServerEditView(View): """This is the server edit view.""" def get(self, request, id: int): server = get_object_or_404(Server, pk=id) form = ServerForm( data=request.POST or None, instance=server, ) context = { 'server': server, 'form': form, } return render(request, 'core/settings/edit.html', context) def post(self, request, id: int): server = get_object_or_404(Server, pk=id) form = ServerForm( data=request.POST or None, files=request.FILES or None, instance=server, ) if form.has_changed() and form.is_valid(): form.save() messages.add_message( request=request, level=messages.INFO, message='Les paramètres du serveur ont bien été enregistrés.', ) return self.get(request, id)

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