Datasets:

PatrickHaller

/

the-stack-python-1M

like 0

f644bdae1c799ac19c0985d13b86858204d041b0

py

Python

wavefunctions/31/one-shot.py

Jeffrey-Ede/One-Shot

27696c0886b8d6b5f088ff1a93fadf5c3115b856

2020-03-25T10:27:46.000Z

2021-11-26T07:31:15.000Z

wavefunctions/31/one-shot.py

Jeffrey-Ede/One-Shot

27696c0886b8d6b5f088ff1a93fadf5c3115b856

wavefunctions/31/one-shot.py

Jeffrey-Ede/One-Shot

27696c0886b8d6b5f088ff1a93fadf5c3115b856

2020-01-31T00:21:28.000Z

2021-11-30T09:08:38.000Z

# -*- coding: utf-8 -*- """ Deep learning supersampling network for scanning transmission electron microscopy. This is a standard convolutional network i.e. with batch norm and L2 regularization. Acknowledgement: Initial testing of this network was performed with CIFAR-10 in Google Colab """ import tensorflow as tf import numpy as np import cv2 import matplotlib.pyplot as plt from tensorflow.contrib.layers.python.layers import initializers import itertools import time from PIL import Image import queue EXPER_NUM = 31 cropsize = 144#192#224#256 use_batch_norm = True batch_norm_decay = 0.999 use_vbn = False use_instance_norm = False#True adversarial = True use_spectral_norm = True#True use_gradient_penalty = False#True] standard_wass = False use_l2_loss = False ## Load data def flip_rotate(img): """Applies a random flip || rotation to the image, possibly leaving it unchanged""" choice = np.random.randint(0, 8) if choice == 0: return img if choice == 1: return np.rot90(img, 1) if choice == 2: return np.rot90(img, 2) if choice == 3: return np.rot90(img, 3) if choice == 4: return np.flip(img, 0) if choice == 5: return np.flip(img, 1) if choice == 6: return np.flip(np.rot90(img, 1), 0) if choice == 7: return np.flip(np.rot90(img, 1), 1) def load_image(addr): """Read an image and make sure it is of the correct type. Optionally resize it""" if type(addr) == bytes: addr = addr.decode() img = np.load(addr) off_x = np.random.randint(0, 320-cropsize) off_y = np.random.randint(0, 320-cropsize) img = img[off_x:off_x+cropsize, off_y:off_y+cropsize] img = flip_rotate(img) return img def scale0to1(img): """Rescale image between 0 and 1""" img = img.astype(np.float32) min = np.min(img) max = np.max(img) if np.absolute(min-max) < 1.e-6: img.fill(0.5) else: img = (img-min) / (max-min) return img.astype(np.float32) def norm_img(img, min=None, max=None, get_min_and_max=False): if min == None: min = np.min(img) if max == None: max = np.max(img) if np.absolute(min-max) < 1.e-6: img.fill(0.) else: a = 0.5*(min+max) b = 0.5*(max-min) img = (img-a) / b if get_min_and_max: return img.astype(np.float32), (min, max) else: return img.astype(np.float32) def preprocess(img): img[np.isnan(img)] = 0. img[np.isinf(img)] = 0. return img history = queue.Queue() def record_parser(record): """Parse files and generate lower quality images from them.""" if np.random.randint(0,2) and history.qsize() > 100: try: (lq, img) = history.get() return lq, img except: pass img = flip_rotate(preprocess(load_image(record))) lq = np.abs(img).astype(np.float32) #img = np.angle(img).astype(np.float32) #img = np.where( # img < 0, # 2*img/np.pi + 1, # 1 - 2*img/np.pi # ) #img = (img.real/lq).astype(np.float32) angle = np.angle(img) img = np.stack((np.cos(angle), np.sin(angle)), axis=-1).astype(np.float32) if np.sum(np.isfinite(img)) != np.product(img.shape) or np.sum(np.isfinite(lq)) != np.product(lq.shape): img = np.zeros((cropsize,cropsize,2)) lq = np.zeros((cropsize,cropsize)) try: history.put( (lq, img) ) except: pass return lq, img def shaper(lq, img): lq = tf.reshape(lq, [cropsize, cropsize, 1]) img = tf.reshape(img, [cropsize, cropsize, 2]) return lq, img def load_data(dir, subset, batch_size): """Create a dataset from a list of filenames and shard batches from it""" with tf.device('/cpu:0'): dataset = tf.data.Dataset.list_files(dir+subset+"/"+"*.npy") dataset = dataset.shuffle(buffer_size=5000) dataset = dataset.repeat() dataset = dataset.map( lambda file: tf.py_func(record_parser, [file], [tf.float32, tf.float32]) ) dataset = dataset.map(shaper) dataset = dataset.batch(batch_size=batch_size) dataset = dataset.prefetch(buffer_size=10) iters = dataset.make_one_shot_iterator().get_next() #Add batch dimension size to graph for iter in iters: iter.set_shape([batch_size]+iter.get_shape().as_list()[1:]) return iters # Utility def flip_and_rotate(x): """Random combination of flips and rotations.""" for augmentator in [flip, rotate]: x = augmentator(x) return x def rotate(x: tf.Tensor) -> tf.Tensor: """Rotation augmentation Args: x: Image Returns: Augmented image """ # Rotate 0, 90, 180, 270 degrees return tf.image.rot90(x, tf.random_uniform(shape=[], minval=0, maxval=4, dtype=tf.int32)) def flip(x: tf.Tensor) -> tf.Tensor: """Flip augmentation Args: x: Image to flip Returns: Augmented image """ x = tf.image.random_flip_left_right(x) x = tf.image.random_flip_up_down(x) return x def auto_name(name): """Append number to variable name to make it unique. Inputs: name: Start of variable name. Returns: Full variable name with number afterwards to make it unique. """ scope = tf.contrib.framework.get_name_scope() vars = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope=scope) names = [v.name for v in vars] #Increment variable number until unused name is found for i in itertools.count(): short_name = name + "_" + str(i) sep = "/" if scope != "" else "" full_name = scope + sep + short_name if not full_name in [n[:len(full_name)] for n in names]: return short_name def alrc( loss, num_stddev=3, decay=0.997, mu1_start=5, mu2_start=7**2, in_place_updates=True ): """Adaptive learning rate clipping (ALRC) of outlier losses. Inputs: loss: Loss function to limit outlier losses of. num_stddev: Number of standard deviation above loss mean to limit it to. decay: Decay rate for exponential moving averages used to track the first two raw moments of the loss. mu1_start: Initial estimate for the first raw moment of the loss. mu2_start: Initial estimate for the second raw moment of the loss. in_place_updates: If False, add control dependencies for moment tracking to tf.GraphKeys.UPDATE_OPS. This allows the control dependencies to be executed in parallel with other dependencies later. Return: Loss function with control dependencies for ALRC. """ #Varables to track first two raw moments of the loss mu = tf.get_variable( auto_name("mu1"), initializer=tf.constant(mu1_start, dtype=tf.float32)) mu2 = tf.get_variable( auto_name("mu2"), initializer=tf.constant(mu2_start, dtype=tf.float32)) #Use capped loss for moment updates to limit the effect of outlier losses on the threshold sigma = tf.sqrt(mu2 - mu**2+1.e-8) loss = tf.where(loss < mu+num_stddev*sigma, loss, loss/tf.stop_gradient(loss/(mu+num_stddev*sigma))) #Update moment moving averages mean_loss = tf.reduce_mean(loss) mean_loss2 = tf.reduce_mean(loss**2) update_ops = [mu.assign(decay*mu+(1-decay)*mean_loss), mu2.assign(decay*mu2+(1-decay)*mean_loss2)] if in_place_updates: with tf.control_dependencies(update_ops): loss = tf.identity(loss) else: #Control dependencies that can be executed in parallel with other update #ops. Often, these dependencies are added to train ops e.g. alongside #batch normalization update ops. for update_op in update_ops: tf.add_to_collection(tf.GraphKeys.UPDATE_OPS, update_op) return loss def spectral_norm(w, iteration=1, in_place_updates=True): """Spectral normalization. It imposes Lipschitz continuity by constraining the spectral norm (maximum singular value) of weight matrices. Inputs: w: Weight matrix to spectrally normalize. iteration: Number of times to apply the power iteration method to enforce spectral norm. Returns: Weight matrix with spectral normalization control dependencies. """ if not use_spectral_norm: return w w0 = w w_shape = w.shape.as_list() w = tf.reshape(w, [-1, w_shape[-1]]) u = tf.get_variable(auto_name("u"), [1, w_shape[-1]], initializer=tf.random_normal_initializer(mean=0.,stddev=0.03), trainable=False) u_hat = u v_hat = None for i in range(iteration): """ power iteration Usually iteration = 1 will be enough """ v_ = tf.matmul(u_hat, tf.transpose(w)) v_hat = tf.nn.l2_normalize(v_) u_ = tf.matmul(v_hat, w) u_hat = tf.nn.l2_normalize(u_) u_hat = tf.stop_gradient(u_hat) v_hat = tf.stop_gradient(v_hat) sigma = tf.matmul(tf.matmul(v_hat, w), tf.transpose(u_hat)) if in_place_updates: #In-place control dependencies bottlenect training with tf.control_dependencies([u.assign(u_hat)]): w_norm = w / sigma w_norm = tf.reshape(w_norm, w_shape) else: #Execute control dependency in parallel with other update ops tf.add_to_collection(tf.GraphKeys.UPDATE_OPS, u.assign(u_hat)) w_norm = w / sigma w_norm = tf.reshape(w_norm, w_shape) return w_norm def spectral_norm_dense( inputs, num_outputs, biases_initializer=tf.zeros_initializer() ): w = tf.get_variable(auto_name("weights"), shape=[inputs.get_shape()[-1], num_outputs]) x = tf.matmul(inputs, spectral_norm(w)) if biases_initializer != None: b = tf.get_variable(auto_name("bias"), [num_outputs], initializer=biases_initializer) x = tf.nn.bias_add(x, b) return x def spectral_norm_conv(inputs, num_outputs, stride=1, kernel_size=3, padding='VALID', biases_initializer=tf.zeros_initializer()): """Convolutional layer with spectrally normalized weights.""" w = tf.get_variable(auto_name("kernel"), shape=[kernel_size, kernel_size, inputs.get_shape()[-1], num_outputs]) x = tf.nn.conv2d(input=inputs, filter=spectral_norm(w), strides=[1, stride, stride, 1], padding=padding) if biases_initializer != None: b = tf.get_variable(auto_name("bias"), [num_outputs], initializer=biases_initializer) x = tf.nn.bias_add(x, b) return x std_actv = lambda x: tf.nn.leaky_relu(x, alpha=0.1) def conv( inputs, num_outputs, kernel_size=3, stride=1, padding='SAME', data_format="NHWC", actv_fn=std_actv, is_batch_norm=True, is_spectral_norm=False, is_depthwise_sep=False, extra_batch_norm=False, biases_initializer=tf.zeros_initializer, weights_initializer=initializers.xavier_initializer, transpose=False, is_training=True ): """Convenience function for a strided convolutional or transpositional convolutional layer. Intro: https://towardsdatascience.com/intuitively-understanding-convolutions-for-deep-learning-1f6f42faee1. The order is: Activation (Optional) -> Batch Normalization (optional) -> Convolutions. Inputs: inputs: Tensor of shape `[batch_size, height, width, channels]` to apply convolutions to. num_outputs: Number of feature channels to output. kernel_size: Side lenth of square convolutional kernels. stride: Distance between convolutional kernel applications. padding: 'SAME' for zero padding where kernels go over the edge. 'VALID' to discard features where kernels go over the edge. activ_fn: non-linearity to apply after summing convolutions. is_batch_norm: If True, add batch normalization after activation. is_spectral_norm: If True, spectrally normalize weights. is_depthwise_sep: If True, depthwise separate convolutions into depthwise spatial convolutions, then 1x1 pointwise convolutions. extra_batch_norm: If True and convolutions are depthwise separable, implement batch normalization between depthwise and pointwise convolutions. biases_initializer: Function to initialize biases with. None for no biases. weights_initializer: Function to initialize weights with. None for no weights. transpose: If True, apply convolutional layer transpositionally to the described convolutional layer. is_training: If True, use training specific operations e.g. batch normalization update ops. Returns: Output of convolutional layer. """ x = inputs num_spatial_dims = len(x.get_shape().as_list()) - 2 if biases_initializer == None: biases_initializer = lambda: None if weights_initializer == None: weights_initializer = lambda: None if not is_spectral_norm: #Convolutional layer without spectral normalization if transpose: stride0 = 1 if type(stride) == list or is_depthwise_sep or stride % 1: #Apparently there is no implementation of transpositional #depthwise separable convolutions, so bilinearly upsample then #depthwise separably convolute if kernel_size != 1: x = tf.image.resize_bilinear( images=x, size=stride if type(stride) == list else \ [int(stride*d) for d in x.get_shape().as_list()[1:3]], align_corners=True ) stride0 = stride stride = 1 if type(stride0) == list and not is_depthwise_sep: layer = tf.contrib.layers.conv2d elif is_depthwise_sep: layer = tf.contrib.layers.separable_conv2d else: layer = tf.contrib.layers.conv2d_transpose x = layer( inputs=x, num_outputs=num_outputs, kernel_size=kernel_size, stride=stride, padding=padding, data_format=data_format, activation_fn=None, weights_initializer=weights_initializer(), biases_initializer=biases_initializer()) if type(stride0) != list: if (is_depthwise_sep or stride0 % 1) and kernel_size == 1: x = tf.image.resize_bilinear( images=x, size=[int(stride0*d) for d in x.get_shape().as_list()[1:3]], align_corners=True ) else: if num_spatial_dims == 1: layer = tf.contrib.layers.conv1d elif num_spatial_dims == 2: if is_depthwise_sep: layer = tf.contrib.layers.separable_conv2d else: layer = tf.contrib.layers.conv2d x = layer( inputs=x, num_outputs=num_outputs, kernel_size=kernel_size, stride=stride, padding=padding, data_format=data_format, activation_fn=None, weights_initializer=weights_initializer(), biases_initializer=biases_initializer()) else: #Weights are spectrally normalized x = spectral_norm_conv( inputs=x, num_outputs=num_outputs, stride=stride, kernel_size=kernel_size, padding=padding, biases_initializer=biases_initializer()) if actv_fn: x = actv_fn(x) if is_batch_norm and use_batch_norm: x = tf.contrib.layers.batch_norm(x, is_training=is_training) return x def residual_block(inputs, skip=3, is_training=True): """Residual block whre the input is added to the signal after skipping some layers. This architecture is good for learning purturbative transformations. If no layer is provided, it defaults to a convolutional layer. Deep residual learning: https://arxiv.org/abs/1512.03385. Inputs: inputs: Tensor to apply residual block to. Outputs of every layer will have the same shape. skip: Number of layers to skip before adding input to layer output. layer: Layer to apply in residual block. Defaults to convolutional layer. Custom layers must support `inputs`, `num_outputs` and `is_training` arguments. Returns: Final output of residual block. """ x = x0 = inputs def layer(inputs, num_outputs, is_training, is_batch_norm, actv_fn): x = conv( inputs=inputs, num_outputs=num_outputs, is_training=is_training, actv_fn=actv_fn ) return x for i in range(skip): x = layer( inputs=x, num_outputs=x.get_shape()[-1], is_training=is_training, is_batch_norm=i < skip - 1, actv_fn=tf.nn.relu ) x += x0 if use_batch_norm: x = tf.contrib.layers.batch_norm(x, is_training=is_training) return x def transpose_Xception( inputs, num_outputs, stride=2, actv_fn=tf.nn.relu, is_batch_norm=True, is_training=True ): """Transpositional Xception block for upsampling; rather than downsampling.""" x = inputs if actv_fn: x = actv_fn(x) if is_batch_norm: x = tf.contrib.layers.batch_norm(x, is_training=is_training) x0 = conv( inputs=x, num_outputs=num_outputs, kernel_size=1, stride=stride, is_batch_norm=False, is_depthwise_sep=True, transpose=True ) x = conv( inputs=x, num_outputs=num_outputs, kernel_size=3, stride=stride, is_batch_norm=False, is_depthwise_sep=True, transpose=True ) x = conv( inputs=x, num_outputs=num_outputs, is_depthwise_sep=True, ) x = conv( inputs=x, num_outputs=num_outputs, is_depthwise_sep=True, ) print(x0, x) x += x0 return x def generator(inputs, num_outputs, is_training, is_depthwise_sep=False): """Convolutional neural network (CNN) for image supersampling. Args: Inputs: Images tensor with shape [batch_size, heigh, width, channels]. num_outputs: Number of channels in network output. is_training: Bool indicating whether to use training operations Returns: Super-sampled images """ base_size = 32 x = inputs x = tf.contrib.layers.batch_norm(x, is_training=is_training) x = conv( x, num_outputs=32, is_training=is_training ) #Encoder for i in range(1, 4): x = conv( x, num_outputs=base_size*2**i, stride=2, is_depthwise_sep=is_depthwise_sep, is_training=is_training, actv_fn=std_actv ) if i == 2: low_level = x #Residual blocks for _ in range(6): #Number of blocks x = residual_block( x, skip=3, is_training=is_training ) #Decoder for i in range(2, -1, -1): x = conv( x, num_outputs=base_size*2**i, stride=2, is_depthwise_sep=is_depthwise_sep, is_training=is_training, transpose=True, actv_fn=std_actv ) #if x.get_shape().as_list() == low_level.get_shape().as_list(): #Easy way to find concat level! # x = tf.concat([x, low_level], axis=-1) # for _ in range(3): # x = conv( # x, # num_outputs=base_size*2**i, # is_depthwise_sep=is_depthwise_sep, # is_training=is_training, # ) x = conv( x, num_outputs=32, is_depthwise_sep=is_depthwise_sep, is_training=is_training, ) #Project features onto output image x = conv( x, num_outputs=num_outputs, biases_initializer=None, actv_fn=None, is_batch_norm=True, is_training=is_training ) x /= tf.sqrt(1.e-8 + tf.reduce_sum(x**2, axis=-1, keepdims=True)) x0 = x x *= inputs return x, x0 def res_block(x, num_outputs, s=1): x0 = x start_channels = x.get_shape().as_list()[-1] if num_outputs != start_channels: x0 = conv( inputs=x0, num_outputs=num_outputs, kernel_size=1, stride=1, actv_fn=None, is_batch_norm=False, is_spectral_norm=True ) x = conv( inputs=x, num_outputs=start_channels, kernel_size=3, stride=1, actv_fn=tf.nn.relu, is_batch_norm=False, is_spectral_norm=True ) x = conv( inputs=x, num_outputs=num_outputs, kernel_size=3, stride=1, actv_fn=tf.nn.relu, is_batch_norm=False, is_spectral_norm=True ) x += x0 if s > 1: #x0 = tf.layers.average_pooling2d(x0, s, s) x = tf.layers.average_pooling2d(x, s, s) return x def large_discriminator(inputs): #Based on https://arxiv.org/pdf/1802.05637.pdf x = inputs for i in range(4): #x = res_block(x, 64*2**i, s=2) x = conv( inputs=x, num_outputs=50*2**i, kernel_size=4, stride=1, actv_fn=tf.nn.leaky_relu, is_batch_norm=False, is_spectral_norm=True, biases_initializer=None ) x = conv( inputs=x, num_outputs=50*2**i, kernel_size=4, stride=2, actv_fn=tf.nn.leaky_relu, is_batch_norm=False, is_spectral_norm=True, biases_initializer=None ) #for _ in range(4): # x = res_block(x, 512) #for _ in range(3): # x = conv( # inputs=x, # num_outputs=400, # kernel_size=4, # stride=1, # actv_fn=tf.nn.leaky_relu, # is_batch_norm=False, # is_spectral_norm=True # ) ##x = res_block(x, 1024, s=2) #x = conv( # inputs=x, # num_outputs=800, # kernel_size=4, # stride=2, # actv_fn=tf.nn.leaky_relu, # is_batch_norm=False, # is_spectral_norm=True #) x = conv( inputs=x, num_outputs=200, kernel_size=4, stride=2, actv_fn=tf.nn.leaky_relu, is_batch_norm=False, is_spectral_norm=True, biases_initializer=None ) #x = tf.layers.flatten(x) #x = tf.expand_dims(tf.reduce_sum(x, axis=[1,2,3]), axis=-1) #x = tf.reduce_sum(x, axis=[1,2]) #x = tf.contrib.layers.fully_connected(x, 1) #x = tf.contrib.layers.fully_connected(x, 1, activation_fn=None, biases_initializer=None) #x = spectral_norm_dense(x, 2048, biases_initializer=None) #x = spectral_norm_dense(x, 1024, biases_initializer=None) x = tf.expand_dims(tf.reduce_mean(x, axis=[1,2,3]), axis=-1) #x = spectral_norm_dense(x, 1, biases_initializer=None) #x += 0.5 #x = 0.5 - 0.1 + 1.1*tf.sigmoid(x) #x = 1 + tf.nn.elu(x) return x def configure( inputs, batch_size, target_outputs, is_training, learning_rate, beta1, is_depthwise_sep, decay, gen_scale ): """Operations to calculate network losses and run training operations.""" target_outputs0 = target_outputs with tf.variable_scope("gen"): output0, phase_components = generator( inputs=inputs, num_outputs=target_outputs.get_shape().as_list()[-1], is_training=is_training, is_depthwise_sep=is_depthwise_sep ) output = output0 if adversarial: #Theoretical argument for EMA tracking is in https://openreview.net/pdf?id=SJgw_sRqFQ #with tf.variable_scope("tracking/gen"): # tracking_output = generator( # inputs=inputs, # num_outputs=target_outputs.get_shape().as_list()[-1], # is_training=is_training, # is_depthwise_sep=is_depthwise_sep # ) def amp(x): return 1 + tf.sqrt(1.e-8 + tf.reduce_sum(x**2, axis=-1, keepdims=True)) output = inputs*phase_components#tf.concat([inputs, phase_components], axis=-1) target_outputs = inputs*target_outputs#tf.concat([inputs, target_outputs], axis=-1) if use_gradient_penalty: x_hat = output + tf.random_uniform(output.get_shape().as_list())*(target_outputs-output) discr_batch = tf.concat([output, target_outputs, x_hat], axis=0) else: discr_batch = tf.concat([output, target_outputs], axis=0) with tf.variable_scope("main/discr"): preds = large_discriminator(discr_batch) #with tf.variable_scope("tracking/discr"): # track_pred = large_discriminator(output) fake_pred = preds[:batch_size] real_pred = preds[batch_size:2*batch_size] if use_gradient_penalty: x_hat_pred = preds[2*batch_size:3*batch_size] if use_gradient_penalty: grad = tf.gradients(x_hat_pred, [x_hat])[0] grad_norm2 = tf.sqrt(1.e-6 + tf.reduce_sum(tf.square(grad), axis=[1,2,3])) gradient_penalty = tf.reduce_mean( (grad_norm2 - 1.)**2 ) if use_gradient_penalty or standard_wass: discr_loss = tf.reduce_mean(fake_pred - real_pred) gen_loss = -tf.reduce_mean(fake_pred) else: #noise = tf.random_uniform(real_pred.get_shape().as_list(), maxval=0.05) discr_loss = tf.reduce_mean( (real_pred - 1)**2 + (fake_pred)**2 ) gen_loss = tf.reduce_mean( (fake_pred - 1)**2 ) if standard_wass: for v in tf.trainable_variables("main/discr"): tf.add_to_collection("clip_weights", v.assign(tf.clip_by_value(v, -0.01, 0.01))) #mu = tf.get_variable( # auto_name("avg_loss"), # initializer=tf.constant(0.707, dtype=tf.float32), # trainable=False # ) #mu_op = mu.assign(0.999*mu + 0.001*tf.sqrt(discr_loss)) #tf.add_to_collection(tf.GraphKeys.UPDATE_OPS, mu_op) #mu_scaled = mu/0.707 #discr_lr_scale = tf.cond(mu_scaled > 0.6, lambda: 1., lambda: (mu_scaled/0.6)**2 ) if use_gradient_penalty: discr_loss += 10*gradient_penalty #discr_loss /= 100 #gen_loss /= 100 if use_l2_loss: gen_l2_loss = tf.add_n([tf.nn.l2_loss(v) for v in tf.trainable_variables("gen")]) discr_l2_loss = tf.add_n([tf.nn.l2_loss(v) for v in tf.trainable_variables("main/discr")]) discr_loss += 5.e-5*discr_l2_loss gen_loss += 5.e-5*gen_l2_loss #discr_loss = tf.reduce_mean( tf.nn.relu(1-real_pred) + tf.nn.relu(1+fake_pred), axis=-1 ) + 10*gradient_penalty #+ 1.e-5*discr_l2_loss #gen_loss = -tf.reduce_mean( fake_pred, axis=-1 )# + 5.e-5*gen_l2_loss #discr_loss = tf.reduce_mean(fake_pred - real_pred) / 1 + 10*gradient_penalty + 1.e-5*discr_l2_loss #gen_loss = -tf.reduce_mean(fake_pred) / 1 + 1.e-5*gen_l2_loss #Create optimizer for stochastic gradient descent (SGD) discr_optimizer = tf.train.AdamOptimizer( learning_rate=0.0002, beta1=0.5 ) #discr_optimizer = tf.train.RMSPropOptimizer(learning_rate=0.00005, decay=0.5) #l2_loss = tf.add_n([tf.nn.l2_loss(v) for v in tf.trainable_variables()]) #total_loss = gen_loss + discr_loss + 10*gradient_penalty + 5.e-5*l2_loss ##Tracking #for v, t in zip(tf.trainable_variables("main"), tf.trainable_variables("tracking")): # tf.add_to_collection( tf.GraphKeys.UPDATE_OPS, t.assign(decay*t+(1-decay)*v) ) else: #Mean squared errors mse = 10*tf.reduce_mean( tf.square(output - target_outputs), axis=[1,2,3] ) alrc_mse = mse#alrc(mse) alrc_mse = tf.reduce_mean(alrc_mse) mse = tf.reduce_mean(mse) ##L2 regularization l2_loss = tf.add_n([tf.nn.l2_loss(v) for v in tf.trainable_variables()]) gen_loss = alrc_mse + 5.e-5*l2_loss #Create optimizer for stochastic gradient descent (SGD) gen_optimizer = tf.train.AdamOptimizer( learning_rate=0.0002, beta1=0.5 ) #gen_optimizer = tf.train.RMSPropOptimizer(learning_rate=0.0001, decay=0.5) #( # learning_rate=learning_rate, # beta1=beta1, # beta2=0.9 # ) #Update ops for batch normalisation update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS) with tf.control_dependencies(update_ops): if adversarial: #train_op = gen_optimizer.minimize(total_loss) gen_train_op = gen_optimizer.minimize(gen_loss, var_list=tf.trainable_variables("gen")) discr_train_op = discr_optimizer.minimize(discr_loss, var_list=tf.trainable_variables("main/discr")) train_op = [gen_train_op, discr_train_op] else: train_op = gen_optimizer.minimize(gen_loss) output_loss = { "Loss": tf.reduce_mean( tf.abs(phase_components - target_outputs0) ), "pred_real": tf.reduce_mean(real_pred), "pred_fake": tf.reduce_mean(fake_pred) } return train_op, output_loss, output0 def experiment(report_every_n=100): """Run training operations, then validate. Args: report_every_n: Print loss every n training operations. 0 for no printing. Returns: Validation top-1 accuracy and a numpy array of training losses """ #Placeholders to feed hyperparameters into graph learning_rate_ph = tf.placeholder(tf.float32, name="learning_rate") beta1_ph = tf.placeholder( tf.float32, shape=(), name="beta1") decay_ph = tf.placeholder( tf.float32, shape=(), name="decay") gen_scale_ph = tf.placeholder( tf.float32, shape=(), name="gen_scale") is_training_ph = tf.placeholder( tf.bool, name="is_training") mode_ph = tf.placeholder( tf.int32, name="mode") #data_dir = "//Desktop-sa1evjv/h/wavefunctions/" data_dir = "//Desktop-sa1evjv/f/wavefunctions_single/wavefunctions/" batch_size = 24 def load_data_subset(subset): return load_data( dir=data_dir, subset=subset, batch_size=batch_size ) inputs, target_outputs = tf.case( {tf.equal(mode_ph, 0): lambda: load_data_subset("train"), tf.equal(mode_ph, 1): lambda: load_data_subset("val"), tf.equal(mode_ph, 2): lambda: load_data_subset("test")} ) #Describe learning policy start_iter = 307_097#186_911#0#8_094#0 train_iters = 500_000 val_iters = 1_000 learning_rate = 0.0002 beta1 = 0.9 #Configure operations train_op, loss, output = configure( inputs=inputs, batch_size=batch_size, target_outputs=target_outputs, is_training=is_training_ph, learning_rate=learning_rate_ph, beta1=beta1_ph, is_depthwise_sep=False, decay=decay_ph, gen_scale=gen_scale_ph ) clip_op = tf.get_collection("clip_weights") #Tensors to dump as visual output first_image = inputs[0] first_target_output = target_outputs[0] first_output = output[0] #Session configuration config = tf.ConfigProto() config.gpu_options.allow_growth = True #Only use required GPU memory config.gpu_options.force_gpu_compatible = True model_dir = f"//flexo.ads.warwick.ac.uk/Shared41/Microscopy/Jeffrey-Ede/models/wavefunctions/{EXPER_NUM}/" saver = tf.train.Saver(max_to_keep=1) noteable_saver = tf.train.Saver(max_to_keep=1) log_filepath = model_dir + "log.txt" save_period = 1; save_period *= 3600 with tf.Session(config=config) as sess, open(log_filepath, "a") as log_file: #Initialize network parameters feed_dict = { is_training_ph: np.bool(True), learning_rate_ph: np.float32(learning_rate), beta1_ph: np.float32(beta1), mode_ph: np.int32(0), decay_ph: np.float32(0.), gen_scale_ph: np.float32(0.) } if start_iter: saver.restore( sess, tf.train.latest_checkpoint(model_dir+"model/") ) else: sess.run(tf.global_variables_initializer(), feed_dict=feed_dict) #Finalize graph to prevent additional nodes from being added #sess.graph.finalize() #Training avg_pred_fake = 0.4 beta_pred_fake = 0.9 time0 = time.time() for iter in range(start_iter, train_iters): is_halfway = iter >= train_iters // 2 decay = 0.997 if iter else 0. lr = learning_rate #* 0.5**( max( iter//(train_iters//4), 3) ) is_training = True#iter < 1_000 #not is_halfway beta1 = 0.9 if iter < 200_000 else 0.5 gen_scale = 1.#0 if iter < 50 else 1. #Feed values into training operations feed_dict = { is_training_ph: np.bool(is_training), learning_rate_ph: np.float32(lr), beta1_ph: np.float32(beta1), mode_ph: np.int32(0), decay_ph: np.float32(decay), gen_scale_ph: np.float32(gen_scale) } if iter in [0, 100, 500] or not iter % 25_000 or (0 <= iter < 10_000 and not iter % 1000) or iter == start_iter: _, step_loss, [step_image, step_target_output, step_output] = sess.run([ train_op, loss, [first_image, first_target_output, first_output] ], feed_dict=feed_dict ) save_input_loc = model_dir+"input-"+str(iter)+".tif" save_truth_loc = model_dir+"truth-"+str(iter)+".tif" save_output_loc = model_dir+"output-"+str(iter)+".tif" target_angle = np.angle(step_target_output[...,0] + 1j*step_target_output[...,1]) output_angle = np.angle(step_output[...,0] + 1j*step_output[...,1]) Image.fromarray(step_image.reshape(cropsize, cropsize).astype(np.float32)).save( save_input_loc ) Image.fromarray(np.cos(target_angle).astype(np.float32)).save( save_truth_loc ) Image.fromarray(np.cos(output_angle).astype(np.float32)).save( save_output_loc ) else: if True:#avg_pred_fake > 0.3 or use_gradient_penalty or standard_wass: step_train_op = train_op else: step_train_op = [train_op[0]] _, step_loss = sess.run([step_train_op, loss], feed_dict=feed_dict) if standard_wass: sess.run(clip_op) avg_pred_fake = beta_pred_fake*avg_pred_fake + (1-beta_pred_fake)*step_loss["pred_fake"] output = f"Iter: {iter}" for k in step_loss: output += f", {k}: {step_loss[k]}" if report_every_n: if not iter % report_every_n: print(output) if "nan" in output: saver.restore( sess, tf.train.latest_checkpoint(model_dir+"model/") ) #quit() log_file.write(output) if iter in [train_iters//2-1, train_iters-1]: noteable_saver.save(sess, save_path=model_dir+"noteable_ckpt/model", global_step=iter) time0 = time.time() start_iter = iter elif time.time() >= time0 + save_period: saver.save(sess, save_path=model_dir+"model/model", global_step=iter) time0 = time.time() #Validation - super important! val_loss = 0. for iter in range(val_iters): feed_dict = { is_training_ph: np.bool(False), mode_ph: np.int32(1), decay_ph: np.float32(decay) } step_loss = sess.run(loss, feed_dict=feed_dict) val_loss += step_loss val_loss /= val_iters return val_loss if __name__ == "__main__": #Reset so graph nodes to not accumulate in ipynb session memory. tf.reset_default_graph() #Run your experiment! val_loss = experiment(report_every_n=1) #Report performance on validation set print(f"Validation loss: {val_loss}") with open(model_dir+"val_loss.txt", "w") as f: f.write(f"Val Loss: {val_loss}")

b9d4cee6f3492c63efd4843c6370eb6c5f8de572

py

Python

linux-distro/package/nuxleus/Source/Vendor/Microsoft/IronPython-2.0.1/Lib/Kamaelia/UI/__init__.py

mdavid/nuxleus

653f1310d8bf08eaa5a7e3326c2349e56a6abdc2

2017-03-28T06:41:51.000Z

2017-03-28T06:41:51.000Z

linux-distro/package/nuxleus/Source/Vendor/Microsoft/IronPython-2.0.1/Lib/Kamaelia/UI/__init__.py

mdavid/nuxleus

653f1310d8bf08eaa5a7e3326c2349e56a6abdc2

linux-distro/package/nuxleus/Source/Vendor/Microsoft/IronPython-2.0.1/Lib/Kamaelia/UI/__init__.py

mdavid/nuxleus

653f1310d8bf08eaa5a7e3326c2349e56a6abdc2

2016-12-13T21:08:58.000Z

2016-12-13T21:08:58.000Z

#!/usr/bin/env python # # Needed to allow import # # Copyright (C) 2004 British Broadcasting Corporation and Kamaelia Contributors(1) # All Rights Reserved. # # You may only modify and redistribute this under the terms of any of the # following licenses(2): Mozilla Public License, V1.1, GNU General # Public License, V2.0, GNU Lesser General Public License, V2.1 # # (1) Kamaelia Contributors are listed in the AUTHORS file and at # http://kamaelia.sourceforge.net/AUTHORS - please extend this file, # not this notice. # (2) Reproduced in the COPYING file, and at: # http://kamaelia.sourceforge.net/COPYING # Under section 3.5 of the MPL, we are using this text since we deem the MPL # notice inappropriate for this file. As per MPL/GPL/LGPL removal of this # notice is prohibited. # # Please contact us via: [email protected] # to discuss alternative licensing. # ------------------------------------------------------------------------- """\ ========================== GUI Integration Components ========================== Components providing integration with basic GUI libraries, such as pygame and Tk. """

086f23e72fe724082a2f7061479404f219dbfb58

py

Python

server/galaxyls/services/xml/document.py

gallardoalba/galaxy-language-server

6d9642c639002012462d6bbd3d818a2f15e59478

server/galaxyls/services/xml/document.py

gallardoalba/galaxy-language-server

6d9642c639002012462d6bbd3d818a2f15e59478

server/galaxyls/services/xml/document.py

gallardoalba/galaxy-language-server

6d9642c639002012462d6bbd3d818a2f15e59478

from typing import Dict, Optional from anytree.search import findall from lxml import etree from pygls.types import Position, Range from pygls.workspace import Document from .nodes import XmlElement, XmlSyntaxNode from .types import DocumentType, NodeType from .utils import convert_document_offset_to_position, convert_document_offsets_to_range class XmlDocument(XmlSyntaxNode): """Represents a parsed XML document. This is the root of the XML syntax tree. """ def __init__(self, document: Document): super().__init__() self.document: Document = document self.supported_document_types: Dict[str, DocumentType] = { "tool": DocumentType.TOOL, "macros": DocumentType.MACROS, } @property def node_type(self) -> NodeType: """The type of this node.""" return NodeType.DOCUMENT @property def is_empty(self) -> bool: """True if the document has no root node.""" return not self.root @property def root(self) -> Optional[XmlElement]: """The root element of the document. Normally this would be tool, macros or any other supported kind of element.""" if len(self.children) == 0: return None try: return next(child for child in self.children if type(child) == XmlElement) except StopIteration: return None @property def uses_macros(self) -> bool: """Indicates if this XML document contains any <expand> element. Returns: bool: True if the tool contains at least one <expand> elements. """ try: found = findall(self.root, filter_=lambda node: node.name == "expand", mincount=1) return len(found) > 0 except BaseException: return False @property def document_type(self) -> DocumentType: """The type of this document (if it is supported) or UNKNOWN.""" if self.root and self.root.name: return self.supported_document_types.get(self.root.name, DocumentType.UNKNOWN) return DocumentType.UNKNOWN @property def is_unknown(self) -> bool: """Indicates if the document is of unknown type.""" return self.document_type == DocumentType.UNKNOWN @property def is_macros_file(self) -> bool: """Indicates if the document is a macro definition file.""" return self.document_type == DocumentType.MACROS def get_node_at(self, offset: int) -> Optional[XmlSyntaxNode]: """Gets the syntax node a the given offset.""" return self.root.find_node_at(offset) def get_element_content_range(self, element: XmlElement) -> Optional[Range]: """Gets the Range positions for the given XML element's content in the document. Args: element (XmlElement): The XML element to determine it's content range positions. Returns: Optional[Range]: The range positions for the content of the given XML element. """ start_offset, end_offset = element.get_content_offsets() if start_offset < 0 or end_offset < 0: return None return convert_document_offsets_to_range(self.document, start_offset, end_offset) def get_position_before(self, element: XmlElement) -> Position: """Return the position in the document before the given element. Args: element (XmlElement): The element used to find the position. Returns: Position: The position just before the element declaration. """ return convert_document_offset_to_position(self.document, element.start) def get_position_after(self, element: XmlElement) -> Position: """Return the position in the document after the given element. Args: element (XmlElement): The element used to find the position. Returns: Position: The position just after the element declaration. """ if element.is_self_closed: return convert_document_offset_to_position(self.document, element.end) return convert_document_offset_to_position(self.document, element.end_offset) @staticmethod def has_valid_root(document: Document) -> bool: """Checks if the document's root element matches one of the supported types.""" try: xml = etree.parse(str(document.path)) root = xml.getroot() if root is not None and root.tag: root_tag = root.tag.upper() supported = [e.name for e in DocumentType if e != DocumentType.UNKNOWN] return root_tag in supported return False except BaseException: return False

06ebbe939980df36c7a2a54c0ac52fa27c9f9ce7

py

Python

python/repository/file_inventory_repository.py

newrelic-experimental/demo-pythontron

0561d7e496da3a518c28102010c3c76445a47307

python/repository/file_inventory_repository.py

newrelic-experimental/demo-pythontron

0561d7e496da3a518c28102010c3c76445a47307

python/repository/file_inventory_repository.py

newrelic-experimental/demo-pythontron

0561d7e496da3a518c28102010c3c76445a47307

import json from repository.i_inventory_repository import IInventoryRepository class FileInventoryRepository(IInventoryRepository): def get_records(self): file_path = "data/inventory.json" with open(file_path) as json_file: data = json.load(json_file) return data def get_record_by_id(self, key): data = self.get_records() item = self._find_by_key(data, "id", key) if item is not None: return item else: return {} @classmethod def _find_by_key(obj, json_object, key_name, key_value): for item in json_object: if item[key_name] == key_value: return item

581b0e4c8cb25617500ef7045dc9e4e63f9412ae

py

Python

jpylib/pgetopt.py

jyrgenn/jpylib

a4711d11c012ad72f60d7591e7ac2c9e53d3ddd6

jpylib/pgetopt.py

jyrgenn/jpylib

a4711d11c012ad72f60d7591e7ac2c9e53d3ddd6

jpylib/pgetopt.py

jyrgenn/jpylib

a4711d11c012ad72f60d7591e7ac2c9e53d3ddd6

# Copyright (C) 2020 Juergen Nickelsen <[email protected]>, see LICENSE. """POSIX-conformant command-line option parser (plus long options) See the parse() function for details. Build $__package_version$ """ import os import sys import copy # Exception argument string and additional value (used to generate README) ErrorNotopt = "unknown option" # option ErrorArg = "option does not take an argument" # option ErrorNoarg = "option needs argument" # option ErrorIntarg = "option argument must be integer" # option ErrorMinarg = "too few arguments, needs at least" # minimum ErrorMaxarg = "too many arguments, at most" # maximum class OptionError(Exception): pass class OptionValueContainer: def __init__(self, descriptors, args): """Arguments: dict optchar => descriptor; command-line args. See the parse() function below for details. """ self._opts = copy.deepcopy(descriptors) _keywords = ("_arguments", "_help_header", "_help_footer", "_usage", "_program") for opt, desc in self._opts.items(): if opt.startswith("_"): assert opt in _keywords, "keyword unknown: " + repr(opt) # The following is grossly redundant -- it is a kludge to finally # reach 100% test coverage; apparently impossible if both # statements are under the same "if". Luckly we don't need to # optimise for speed. :-( if opt.startswith("_"): continue assert type(opt) == str and len(opt) == 1, \ "option key must be string of length 1: " + repr(opt) assert type(desc) == tuple and len(desc) in (4, 5), \ "descriptor not sequence len 4 or 5: -" + opt name, typ, default, *_ = desc assert isinstance(name, str), "option name is not a string: -" + opt if type(typ) == type: assert typ in (bool, int, str), "invalid option type: -" + opt else: assert callable(typ), "invalid option type: -"+opt self.__dict__[name] = default if "?" not in self._opts: self._opts["?"] = \ ("help", self.ovc_help, None, "show help on options and things") if "h" not in self._opts: self._opts["h"] = self._opts["?"] for field in _keywords: self.__dict__[field] = self._opts.get(field) if not self._program: self._program = os.path.basename(sys.argv[0]) self._long = { v[0].replace("_", "-"): v for k, v in self._opts.items() if len(k) == 1 } self._args = args[:] self._min = self._max = None if type(self._arguments) == list: min = max = 0 inf = False for arg in self._arguments: if "..." in arg: inf = True if arg.startswith("["): max += len(arg.split(" ")) elif not arg == "...": min += 1 max += 1 self._min = min self._max = None if inf else max self._arguments = " ".join(self._arguments) def _parse(self): while self._args and self._args[0].startswith("-"): arg = self._args.pop(0) if arg == "--": break if arg.startswith("--"): self._have_opt(arg[2:]) else: arg = arg[1:] while arg: arg = self._have_opt(arg[0], arg[1:]) if self._min is not None and len(self._args) < self._min: raise OptionError(ErrorMinarg, self._min) if self._max is not None and len(self._args) > self._max: raise OptionError(ErrorMaxarg, self._max) def _have_opt(self, opt, arg=None): value = None if len(opt) > 1: parts = opt.split("=", 1) if len(parts) > 1: opt, value = parts desc = self._long.get(opt) else: desc = self._opts.get(opt) if not desc: raise OptionError(ErrorNotopt, opt) name, typ, defval, *_ = desc if typ == bool: if value: raise OptionError(ErrorArg, opt) self.__dict__[name] += 1 else: if typ not in (str, int): value = typ() elif arg: value = arg arg = "" self._set_optarg(opt, desc, value) return arg def _set_optarg(self, opt, desc, value): if value is None: if not self._args: raise OptionError(ErrorNoarg, opt) value = self._args.pop(0) if desc[1] == int: try: value = int(value) except: raise OptionError(ErrorIntarg, opt) if isinstance(getattr(self, desc[0], None), list): getattr(self, desc[0]).append(value) else: setattr(self, desc[0], value) def ovc_help(self): """Print the help message and exit.""" print(self.ovc_help_msg()) sys.exit() def ovc_help_msg(self): """Return a detailed help message.""" msg = self.ovc_usage_msg() + "\n" if self._help_header: msg += self._help_header + "\n\n" for opt in sorted(self._opts.keys()): if opt.startswith("_"): continue desc = self._opts[opt] arg = "" if desc[1] in (str, int): arg = " " + (desc[4] if len(desc) == 5 else "ARG") msg += " -%s, --%s%s:\n %s" % ( opt, desc[0].replace('_', '-'), arg, desc[3]) if desc[1] in (int, str): msg += " (%s arg, default %s)" % ( desc[1].__name__, repr(desc[2])) msg += "\n" if self._help_footer: msg += "\n" + self._help_footer return msg def ovc_usage(self, error="", exit_status=64): """Print usage message (with optional error message) and exit.""" out = sys.stdout if not exit_status else sys.stderr if error: print(self._program + ":", error, file=out, end="\n\n") print(self.ovc_usage_msg(), file=out) print("use '-?' option to get more help", file=out) sys.exit(exit_status) def ovc_usage_msg(self): """Return a brief usage message.""" args = "" if self._arguments is None: args = " <arguments>" elif self._arguments: args = " " + self._arguments noarg = "" w_arg = [] for key, desc in self._opts.items(): if len(key) > 1 or key in "h?": continue if desc[1] is str: w_arg.append((key, (desc[4] if len(desc) == 5 else "ARG"))) else: noarg += key options = " " if noarg: options += "[-" + "".join(sorted(noarg)) + "]" for opt in w_arg: options += " [-{} {}]".format(opt[0], opt[1]) return self._usage or "usage: " + self._program + options + args def ovc_values(self): """Return a dict of options and their values (for testing).""" return { key: val for key, val in self.__dict__.items() if not key.startswith("_") } def parse(descriptors, args=sys.argv[1:], exit_on_error=True): """Parse the command line options according to the specified descriptors. Keys of the descriptors dictionary are options or keywords. In case of an option, the key is the single option character, and the value is a tuple of four or five fields: (1) name of the option, used in the returned namespace and as the name of the corresponding long option name (after replacing underscores with dashes) (2) type of the option, which may be bool for options without arguments (actually counters), or str or int for options with an argument of the respective type (3) default value, which can be a starting counter (or False) for bool options, or an integer or string value for int or str options, respectively, or a list, to which each option argument will be appended (for multi-value options) (4) description of the option for the help text (5) (optional) name of the option's argument for the help text (defaults to 'ARG') A key may also be one of these keywords: "_arguments": string to print in the usage to describe the non-option arguments, or, for argument count checking, a sequence with the argument names: - a normal string counts as one argument towards minimum and maximum - if it contains '...', there is no maximum the number of arguments - if it begins with '[', it is optional; if it can be split by blanks into multiple words, each one counts toward the maximum; e.g. "[param1 param2 param3]" increases the maximum by 3, but not the minimum "_help_footer": string to print with 'help' after the option explanations "_help_header": string to print with 'help' before the option explanations "_program": string to use as program name for help and usage message instead of sys.argv[0] "_usage": string to use as usage message instead of the default constructed one If no '?' or 'h' option is specified, they will default to a long form of '--help' and a 'help' function, which will be called immediately when the option is seen. It prints a brief summary of the program's parameters and a description of the options, framed by the _help_header and the _help_footer; it terminates the program after printing the message. In case of a normal return of parse() (i.e. options and number of arguments okay), it returns an OptionValueContainer and a list of the remaining command line arguments. Example: ovc, args = pgetopt.parse({ # opt: (name, type, default value, helptext[, arg name]) "s": ("schmooze", bool, 0, "more schmooziness"), "o": ("output_file", str, None, "output file (or stdout)", "NAME"), "n": ("repetitions", int, 3, "number of repetitions"), "d": ("debug", str, [], "debug topics", "DEBUG_TOPIC"), # keyword: value "_arguments": ["string_to_print", "..."], "_help_header": "print a string a number of times", "_help_footer": "This is just an example program.", } On return, ovc has the following fields: ovc.schmooze: number of -s options counted, ovc.output_file: parameter of -o or --output-file, or None ovc.repetitions: parameter of -n or --repetitions, or 3 ovc.debug: list with all parameters given to -d or --debug Parameters to int or str options are taken from the next argument; with long options, "--option=parameter" is also possible. Other potentially useful fields of ovc: ovc.ovc_help(): help function ovc.ovc_usage(): usage function ovc.ovc_help_msg(), ovc.ovc_usage_msg(): get corresponding messages as strings """ ovc = OptionValueContainer(descriptors, args) try: ovc._parse() return ovc, ovc._args except OptionError as e: if exit_on_error: ovc.ovc_usage(e.args[0] + ": " + repr(e.args[1])) raise(e) # EOF

846264b32188cffcf1dc9199d918cd246aa9ecbf

py

Python

Instagram/urls.py

katono254/Instagram

7fc129a56c0cdb79d0270d0d5d809db711c7e47d

Instagram/urls.py

katono254/Instagram

7fc129a56c0cdb79d0270d0d5d809db711c7e47d

2020-06-05T20:52:19.000Z

2022-03-12T00:15:13.000Z

Instagram/urls.py

katono254/Instagram

7fc129a56c0cdb79d0270d0d5d809db711c7e47d

from django.contrib import admin from django.conf.urls import url, include from django.conf import settings from django.conf.urls.static import static urlpatterns = [ url('admin/', admin.site.urls), url('', include('Instaclone.urls')) ] if settings.DEBUG: urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)

83bffd75389777139f9eb3c5f7f6792a565a891e

py

Python

unified_planning/test/test_python_writer.py

aiplan4eu/unified-planning

d2fd18baa3a2110595e5dfdc3f55254df72c3016

2022-02-18T14:51:58.000Z

2022-03-31T06:02:43.000Z

unified_planning/test/test_python_writer.py

aiplan4eu/unified-planning

d2fd18baa3a2110595e5dfdc3f55254df72c3016

2022-02-01T10:44:38.000Z

2022-03-31T09:13:42.000Z

unified_planning/test/test_python_writer.py

aiplan4eu/unified-planning

d2fd18baa3a2110595e5dfdc3f55254df72c3016

# Copyright 2021 AIPlan4EU project # # 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 collections import OrderedDict from unified_planning.shortcuts import * from unified_planning.test import TestCase, main from unified_planning.test.examples import get_example_problems from unified_planning.io import PythonWriter class TestPythonWriter(TestCase): def setUp(self): TestCase.setUp(self) self.problems = get_example_problems() def test_all(self): for p in self.problems.values(): original_problem = p.problem pw = PythonWriter(original_problem) _locals = {} exec(pw.write_problem_code(), {}, _locals) self.assertEqual(original_problem, _locals['problem']) def test_ad_hoc_1(self): xd = Fluent('x-$') xe = Fluent('x-&') nop = Fluent('') a = InstantaneousAction('3') a.add_precondition(Not(xd)) a.add_effect(xd, True) a.add_precondition(Not(xe)) a.add_effect(xe, True) a.add_precondition(Not(nop)) a.add_effect(nop, True) problem = Problem('basic') problem.add_fluent(xd) problem.add_fluent(xe) problem.add_fluent(nop) problem.add_action(a) problem.set_initial_value(xd, False) problem.set_initial_value(xe, False) problem.set_initial_value(nop, False) problem.add_goal(xd) problem.add_goal(xe) problem.add_goal(nop) pw = PythonWriter(problem) _locals = {} exec(pw.write_problem_code(), {}, _locals) self.assertEqual(problem, _locals['problem']) def test_ad_hoc_2(self): Location = UserType('Location') robot_at = Fluent('robot_at', BoolType(), OrderedDict([('if', Location)])) battery_charge = Fluent('battery_charge', RealType(0, 100)) move = InstantaneousAction('move', OrderedDict([('from', Location), ('to', Location)])) l_from = move.parameter('from') to = move.parameter('to') move.add_precondition(GE(battery_charge, 10)) move.add_precondition(Not(Equals(l_from, to))) move.add_precondition(robot_at(l_from)) move.add_precondition(Not(robot_at(to))) move.add_effect(robot_at(l_from), False) move.add_effect(robot_at(to), True) move.add_effect(battery_charge, Minus(battery_charge, 10)) l1 = Object('l1', Location) l2 = Object('l2', Location) problem = Problem('robot') problem.add_fluent(robot_at) problem.add_fluent(battery_charge) problem.add_action(move) problem.add_object(l1) problem.add_object(l2) problem.set_initial_value(robot_at(l1), True) problem.set_initial_value(robot_at(l2), False) problem.set_initial_value(battery_charge, 100) problem.add_goal(robot_at(l2)) pw = PythonWriter(problem) _locals = {} exec(pw.write_problem_code(), {}, _locals) self.assertEqual(problem, _locals['problem'])

730c8d3ebf7385cd88ac734473cadecf1e56d4ca

py

Python

test codes/test_max.py

DionEngels/MBxPython

1f1bc7f3be86082a6f3f4dc0eaf162db00061b34

test codes/test_max.py

DionEngels/MBxPython

1f1bc7f3be86082a6f3f4dc0eaf162db00061b34

test codes/test_max.py

DionEngels/MBxPython

1f1bc7f3be86082a6f3f4dc0eaf162db00061b34

# -*- coding: utf-8 -*- """ Created on Tue Jul 7 14:09:00 2020 @author: s150127 """ import numpy as np import time def makeGaussian(size, fwhm = 3, center=None): """ Make a square gaussian kernel. size is the length of a side of the square fwhm is full-width-half-maximum, which can be thought of as an effective radius. """ x = np.arange(0, size, 1, float) y = x[:,np.newaxis] if center is None: x0 = y0 = size // 2 else: x0 = center[0] y0 = center[1] return np.exp(-4*np.log(2) * ((x-x0)**2 + (y-y0)**2) / fwhm**2) roi = makeGaussian(9, center=[4, 4]) num_loop = 100000 loops = list(range(0, num_loop)) start = time.time() for loop in loops: maximum = np.max(roi) print('Time taken NP ' + str(round(time.time() - start, 3)) + ' s. Loops: ' + str(len(loops))) start = time.time() for loop in loops: maximum2 = np.amax(roi) print('Time taken NP2: ' + str(round(time.time() - start, 3)) + ' s. Loops: ' + str(len(loops))) import MBx_FORTRAN_TEST_v3 as fortran start = time.time() for loop in loops: maximum3 = fortran.max9(roi) print('Time taken FORTRAN: ' + str(round(time.time() - start, 3)) + ' s. Loops: ' + str(len(loops)))

e4c7bf250abd1ca01eb9be33d7a3dfea2ccd475e

py

Python

research/object_detection/models/keras_models/resnet_v1.py

gujralsanyam22/models

d96f8f043dbe2b5ca8ea1785f57df8faf68d8875

2020-01-02T05:14:57.000Z

2022-03-29T18:34:12.000Z

research/object_detection/models/keras_models/resnet_v1.py

yangxl-2014-fe/models

11ea5237818e791a5717716d5413977f4c4db1e3

2020-01-21T09:41:30.000Z

2022-03-12T00:53:06.000Z

research/object_detection/models/keras_models/resnet_v1.py

yangxl-2014-fe/models

11ea5237818e791a5717716d5413977f4c4db1e3

2020-01-18T03:46:27.000Z

2022-03-19T03:17:47.000Z

# Copyright 2019 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """A wrapper around the Keras Resnet V1 models for object detection.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import tensorflow.compat.v1 as tf from tensorflow.python.keras.applications import resnet from object_detection.core import freezable_batch_norm from object_detection.models.keras_models import model_utils def _fixed_padding(inputs, kernel_size, rate=1): # pylint: disable=invalid-name """Pads the input along the spatial dimensions independently of input size. Pads the input such that if it was used in a convolution with 'VALID' padding, the output would have the same dimensions as if the unpadded input was used in a convolution with 'SAME' padding. Args: inputs: A tensor of size [batch, height_in, width_in, channels]. kernel_size: The kernel to be used in the conv2d or max_pool2d operation. rate: An integer, rate for atrous convolution. Returns: output: A tensor of size [batch, height_out, width_out, channels] with the input, either intact (if kernel_size == 1) or padded (if kernel_size > 1). """ kernel_size_effective = kernel_size + (kernel_size - 1) * (rate - 1) pad_total = kernel_size_effective - 1 pad_beg = pad_total // 2 pad_end = pad_total - pad_beg padded_inputs = tf.pad( inputs, [[0, 0], [pad_beg, pad_end], [pad_beg, pad_end], [0, 0]]) return padded_inputs class _LayersOverride(object): """Alternative Keras layers interface for the Keras Resnet V1.""" def __init__(self, batchnorm_training, batchnorm_scale=True, default_batchnorm_momentum=0.997, default_batchnorm_epsilon=1e-5, weight_decay=0.0001, conv_hyperparams=None, min_depth=8, depth_multiplier=1): """Alternative tf.keras.layers interface, for use by the Keras Resnet V1. The class is used by the Keras applications kwargs injection API to modify the Resnet V1 Keras application with changes required by the Object Detection API. Args: batchnorm_training: Bool. Assigned to Batch norm layer `training` param when constructing `freezable_batch_norm.FreezableBatchNorm` layers. batchnorm_scale: If True, uses an explicit `gamma` multiplier to scale the activations in the batch normalization layer. default_batchnorm_momentum: Float. When 'conv_hyperparams' is None, batch norm layers will be constructed using this value as the momentum. default_batchnorm_epsilon: Float. When 'conv_hyperparams' is None, batch norm layers will be constructed using this value as the epsilon. weight_decay: The weight decay to use for regularizing the model. conv_hyperparams: A `hyperparams_builder.KerasLayerHyperparams` object containing hyperparameters for convolution ops. Optionally set to `None` to use default resnet_v1 layer builders. min_depth: Minimum number of filters in the convolutional layers. depth_multiplier: The depth multiplier to modify the number of filters in the convolutional layers. """ self._batchnorm_training = batchnorm_training self._batchnorm_scale = batchnorm_scale self._default_batchnorm_momentum = default_batchnorm_momentum self._default_batchnorm_epsilon = default_batchnorm_epsilon self._conv_hyperparams = conv_hyperparams self._min_depth = min_depth self._depth_multiplier = depth_multiplier self.regularizer = tf.keras.regularizers.l2(weight_decay) self.initializer = tf.variance_scaling_initializer() def _FixedPaddingLayer(self, kernel_size, rate=1): # pylint: disable=invalid-name return tf.keras.layers.Lambda( lambda x: _fixed_padding(x, kernel_size, rate)) def Conv2D(self, filters, kernel_size, **kwargs): # pylint: disable=invalid-name """Builds a Conv2D layer according to the current Object Detection config. Overrides the Keras Resnet application's convolutions with ones that follow the spec specified by the Object Detection hyperparameters. Args: filters: The number of filters to use for the convolution. kernel_size: The kernel size to specify the height and width of the 2D convolution window. **kwargs: Keyword args specified by the Keras application for constructing the convolution. Returns: A one-arg callable that will either directly apply a Keras Conv2D layer to the input argument, or that will first pad the input then apply a Conv2D layer. """ # Apply the minimum depth to the convolution layers. filters = max(int(filters * self._depth_multiplier), self._min_depth) if self._conv_hyperparams: kwargs = self._conv_hyperparams.params(**kwargs) else: kwargs['kernel_regularizer'] = self.regularizer kwargs['kernel_initializer'] = self.initializer # Set use_bias as false to keep it consistent with Slim Resnet model. kwargs['use_bias'] = False kwargs['padding'] = 'same' stride = kwargs.get('strides') if stride and kernel_size and stride > 1 and kernel_size > 1: kwargs['padding'] = 'valid' def padded_conv(features): # pylint: disable=invalid-name padded_features = self._FixedPaddingLayer(kernel_size)(features) return tf.keras.layers.Conv2D( filters, kernel_size, **kwargs)(padded_features) return padded_conv else: return tf.keras.layers.Conv2D(filters, kernel_size, **kwargs) def Activation(self, *args, **kwargs): # pylint: disable=unused-argument,invalid-name """Builds an activation layer. Overrides the Keras application Activation layer specified by the Object Detection configuration. Args: *args: Ignored, required to match the `tf.keras.layers.Activation` interface. **kwargs: Only the name is used, required to match `tf.keras.layers.Activation` interface. Returns: An activation layer specified by the Object Detection hyperparameter configurations. """ name = kwargs.get('name') if self._conv_hyperparams: return self._conv_hyperparams.build_activation_layer(name=name) else: return tf.keras.layers.Lambda(tf.nn.relu, name=name) def BatchNormalization(self, **kwargs): # pylint: disable=invalid-name """Builds a normalization layer. Overrides the Keras application batch norm with the norm specified by the Object Detection configuration. Args: **kwargs: Only the name is used, all other params ignored. Required for matching `layers.BatchNormalization` calls in the Keras application. Returns: A normalization layer specified by the Object Detection hyperparameter configurations. """ name = kwargs.get('name') if self._conv_hyperparams: return self._conv_hyperparams.build_batch_norm( training=self._batchnorm_training, name=name) else: kwargs['scale'] = self._batchnorm_scale kwargs['epsilon'] = self._default_batchnorm_epsilon return freezable_batch_norm.FreezableBatchNorm( training=self._batchnorm_training, momentum=self._default_batchnorm_momentum, **kwargs) def Input(self, shape): # pylint: disable=invalid-name """Builds an Input layer. Overrides the Keras application Input layer with one that uses a tf.placeholder_with_default instead of a tf.placeholder. This is necessary to ensure the application works when run on a TPU. Args: shape: A tuple of integers representing the shape of the input, which includes both spatial share and channels, but not the batch size. Elements of this tuple can be None; 'None' elements represent dimensions where the shape is not known. Returns: An input layer for the specified shape that internally uses a placeholder_with_default. """ default_size = 224 default_batch_size = 1 shape = list(shape) default_shape = [default_size if dim is None else dim for dim in shape] input_tensor = tf.constant(0.0, shape=[default_batch_size] + default_shape) placeholder_with_default = tf.placeholder_with_default( input=input_tensor, shape=[None] + shape) return model_utils.input_layer(shape, placeholder_with_default) def MaxPooling2D(self, pool_size, **kwargs): # pylint: disable=invalid-name """Builds a MaxPooling2D layer with default padding as 'SAME'. This is specified by the default resnet arg_scope in slim. Args: pool_size: The pool size specified by the Keras application. **kwargs: Ignored, required to match the Keras applications usage. Returns: A MaxPooling2D layer with default padding as 'SAME'. """ kwargs['padding'] = 'same' return tf.keras.layers.MaxPooling2D(pool_size, **kwargs) # Add alias as Keras also has it. MaxPool2D = MaxPooling2D # pylint: disable=invalid-name def ZeroPadding2D(self, padding, **kwargs): # pylint: disable=unused-argument,invalid-name """Replaces explicit padding in the Keras application with a no-op. Args: padding: The padding values for image height and width. **kwargs: Ignored, required to match the Keras applications usage. Returns: A no-op identity lambda. """ return lambda x: x # Forward all non-overridden methods to the keras layers def __getattr__(self, item): return getattr(tf.keras.layers, item) # pylint: disable=invalid-name def resnet_v1_50(batchnorm_training, batchnorm_scale=True, default_batchnorm_momentum=0.997, default_batchnorm_epsilon=1e-5, weight_decay=0.0001, conv_hyperparams=None, min_depth=8, depth_multiplier=1, **kwargs): """Instantiates the Resnet50 architecture, modified for object detection. Args: batchnorm_training: Bool. Assigned to Batch norm layer `training` param when constructing `freezable_batch_norm.FreezableBatchNorm` layers. batchnorm_scale: If True, uses an explicit `gamma` multiplier to scale the activations in the batch normalization layer. default_batchnorm_momentum: Float. When 'conv_hyperparams' is None, batch norm layers will be constructed using this value as the momentum. default_batchnorm_epsilon: Float. When 'conv_hyperparams' is None, batch norm layers will be constructed using this value as the epsilon. weight_decay: The weight decay to use for regularizing the model. conv_hyperparams: A `hyperparams_builder.KerasLayerHyperparams` object containing hyperparameters for convolution ops. Optionally set to `None` to use default resnet_v1 layer builders. min_depth: Minimum number of filters in the convolutional layers. depth_multiplier: The depth multiplier to modify the number of filters in the convolutional layers. **kwargs: Keyword arguments forwarded directly to the `tf.keras.applications.Mobilenet` method that constructs the Keras model. Returns: A Keras ResnetV1-50 model instance. """ layers_override = _LayersOverride( batchnorm_training, batchnorm_scale=batchnorm_scale, default_batchnorm_momentum=default_batchnorm_momentum, default_batchnorm_epsilon=default_batchnorm_epsilon, conv_hyperparams=conv_hyperparams, weight_decay=weight_decay, min_depth=min_depth, depth_multiplier=depth_multiplier) return tf.keras.applications.resnet.ResNet50( layers=layers_override, **kwargs) def resnet_v1_101(batchnorm_training, batchnorm_scale=True, default_batchnorm_momentum=0.997, default_batchnorm_epsilon=1e-5, weight_decay=0.0001, conv_hyperparams=None, min_depth=8, depth_multiplier=1, **kwargs): """Instantiates the Resnet50 architecture, modified for object detection. Args: batchnorm_training: Bool. Assigned to Batch norm layer `training` param when constructing `freezable_batch_norm.FreezableBatchNorm` layers. batchnorm_scale: If True, uses an explicit `gamma` multiplier to scale the activations in the batch normalization layer. default_batchnorm_momentum: Float. When 'conv_hyperparams' is None, batch norm layers will be constructed using this value as the momentum. default_batchnorm_epsilon: Float. When 'conv_hyperparams' is None, batch norm layers will be constructed using this value as the epsilon. weight_decay: The weight decay to use for regularizing the model. conv_hyperparams: A `hyperparams_builder.KerasLayerHyperparams` object containing hyperparameters for convolution ops. Optionally set to `None` to use default resnet_v1 layer builders. min_depth: Minimum number of filters in the convolutional layers. depth_multiplier: The depth multiplier to modify the number of filters in the convolutional layers. **kwargs: Keyword arguments forwarded directly to the `tf.keras.applications.Mobilenet` method that constructs the Keras model. Returns: A Keras ResnetV1-101 model instance. """ layers_override = _LayersOverride( batchnorm_training, batchnorm_scale=batchnorm_scale, default_batchnorm_momentum=default_batchnorm_momentum, default_batchnorm_epsilon=default_batchnorm_epsilon, conv_hyperparams=conv_hyperparams, weight_decay=weight_decay, min_depth=min_depth, depth_multiplier=depth_multiplier) return tf.keras.applications.resnet.ResNet101( layers=layers_override, **kwargs) def resnet_v1_152(batchnorm_training, batchnorm_scale=True, default_batchnorm_momentum=0.997, default_batchnorm_epsilon=1e-5, weight_decay=0.0001, conv_hyperparams=None, min_depth=8, depth_multiplier=1, **kwargs): """Instantiates the Resnet50 architecture, modified for object detection. Args: batchnorm_training: Bool. Assigned to Batch norm layer `training` param when constructing `freezable_batch_norm.FreezableBatchNorm` layers. batchnorm_scale: If True, uses an explicit `gamma` multiplier to scale the activations in the batch normalization layer. default_batchnorm_momentum: Float. When 'conv_hyperparams' is None, batch norm layers will be constructed using this value as the momentum. default_batchnorm_epsilon: Float. When 'conv_hyperparams' is None, batch norm layers will be constructed using this value as the epsilon. weight_decay: The weight decay to use for regularizing the model. conv_hyperparams: A `hyperparams_builder.KerasLayerHyperparams` object containing hyperparameters for convolution ops. Optionally set to `None` to use default resnet_v1 layer builders. min_depth: Minimum number of filters in the convolutional layers. depth_multiplier: The depth multiplier to modify the number of filters in the convolutional layers. **kwargs: Keyword arguments forwarded directly to the `tf.keras.applications.Mobilenet` method that constructs the Keras model. Returns: A Keras ResnetV1-152 model instance. """ layers_override = _LayersOverride( batchnorm_training, batchnorm_scale=batchnorm_scale, default_batchnorm_momentum=default_batchnorm_momentum, default_batchnorm_epsilon=default_batchnorm_epsilon, conv_hyperparams=conv_hyperparams, weight_decay=weight_decay, min_depth=min_depth, depth_multiplier=depth_multiplier) return tf.keras.applications.resnet.ResNet152( layers=layers_override, **kwargs) # pylint: enable=invalid-name # The following codes are based on the existing keras ResNet model pattern: # google3/third_party/tensorflow/python/keras/applications/resnet.py def block_basic(x, filters, kernel_size=3, stride=1, conv_shortcut=False, name=None): """A residual block for ResNet18/34. Arguments: x: input tensor. filters: integer, filters of the bottleneck layer. kernel_size: default 3, kernel size of the bottleneck layer. stride: default 1, stride of the first layer. conv_shortcut: default False, use convolution shortcut if True, otherwise identity shortcut. name: string, block label. Returns: Output tensor for the residual block. """ layers = tf.keras.layers bn_axis = 3 if tf.keras.backend.image_data_format() == 'channels_last' else 1 preact = layers.BatchNormalization( axis=bn_axis, epsilon=1.001e-5, name=name + '_preact_bn')( x) preact = layers.Activation('relu', name=name + '_preact_relu')(preact) if conv_shortcut: shortcut = layers.Conv2D( filters, 1, strides=1, name=name + '_0_conv')( preact) else: shortcut = layers.MaxPooling2D(1, strides=stride)(x) if stride > 1 else x x = layers.ZeroPadding2D( padding=((1, 1), (1, 1)), name=name + '_1_pad')( preact) x = layers.Conv2D( filters, kernel_size, strides=1, use_bias=False, name=name + '_1_conv')( x) x = layers.BatchNormalization( axis=bn_axis, epsilon=1.001e-5, name=name + '_1_bn')( x) x = layers.Activation('relu', name=name + '_1_relu')(x) x = layers.ZeroPadding2D(padding=((1, 1), (1, 1)), name=name + '_2_pad')(x) x = layers.Conv2D( filters, kernel_size, strides=stride, use_bias=False, name=name + '_2_conv')( x) x = layers.BatchNormalization( axis=bn_axis, epsilon=1.001e-5, name=name + '_2_bn')( x) x = layers.Activation('relu', name=name + '_2_relu')(x) x = layers.Add(name=name + '_out')([shortcut, x]) return x def stack_basic(x, filters, blocks, stride1=2, name=None): """A set of stacked residual blocks for ResNet18/34. Arguments: x: input tensor. filters: integer, filters of the bottleneck layer in a block. blocks: integer, blocks in the stacked blocks. stride1: default 2, stride of the first layer in the first block. name: string, stack label. Returns: Output tensor for the stacked blocks. """ x = block_basic(x, filters, conv_shortcut=True, name=name + '_block1') for i in range(2, blocks): x = block_basic(x, filters, name=name + '_block' + str(i)) x = block_basic( x, filters, stride=stride1, name=name + '_block' + str(blocks)) return x def resnet_v1_18(include_top=True, weights='imagenet', input_tensor=None, input_shape=None, pooling=None, classes=1000, classifier_activation='softmax'): """Instantiates the ResNet18 architecture.""" def stack_fn(x): x = stack_basic(x, 64, 2, stride1=1, name='conv2') x = stack_basic(x, 128, 2, name='conv3') x = stack_basic(x, 256, 2, name='conv4') return stack_basic(x, 512, 2, name='conv5') return resnet.ResNet( stack_fn, True, True, 'resnet18', include_top, weights, input_tensor, input_shape, pooling, classes, classifier_activation=classifier_activation) def resnet_v1_34(include_top=True, weights='imagenet', input_tensor=None, input_shape=None, pooling=None, classes=1000, classifier_activation='softmax'): """Instantiates the ResNet34 architecture.""" def stack_fn(x): x = stack_basic(x, 64, 3, stride1=1, name='conv2') x = stack_basic(x, 128, 4, name='conv3') x = stack_basic(x, 256, 6, name='conv4') return stack_basic(x, 512, 3, name='conv5') return resnet.ResNet( stack_fn, True, True, 'resnet34', include_top, weights, input_tensor, input_shape, pooling, classes, classifier_activation=classifier_activation)

2771a224720368e4526ad13fc919de48c612780e

py

Python

src/adafruit_blinka/microcontroller/nxp_imx8m/pin.py

not7cd/Adafruit_Blinka

6db3142005428289cbe97b317f5a05506b3b0ef7

src/adafruit_blinka/microcontroller/nxp_imx8m/pin.py

not7cd/Adafruit_Blinka

6db3142005428289cbe97b317f5a05506b3b0ef7

src/adafruit_blinka/microcontroller/nxp_imx8m/pin.py

not7cd/Adafruit_Blinka

6db3142005428289cbe97b317f5a05506b3b0ef7

2020-09-03T16:21:38.000Z

2020-09-03T16:21:38.000Z

"""NXP IMX8M pin names""" from adafruit_blinka.microcontroller.generic_linux.libgpiod_pin import Pin I2C2_SCL = Pin(144) # GPIO5_IO16 I2C2_SDA = Pin(145) # GPIO5_IO17 I2C3_SCL = Pin(146) # GPIO5_IO18 I2C3_SDA = Pin(147) # GPIO5_IO19 PWM1 = Pin((0, 1)) # GPIO1_IO01 PWM2 = Pin((0, 13)) # GPIO1_IO13 PWM3 = Pin((0, 14)) # GPIO1_IO14 GPIO6 = Pin((0, 6)) # GPIO1_IO6 GPIO7 = Pin((0, 7)) # GPIO1_IO7 GPIO8 = Pin((0, 8)) # GPIO1_IO8 GPIO73 = Pin((2, 9)) # GPIO3_IO9 GPIO77 = Pin((2, 13)) # GPIO3_IO13 GPIO138 = Pin((4, 10)) # GPIO5_IO10 GPIO141 = Pin((4, 13)) # GPIO5_IO13 ECSPI1_MISO = Pin(136) # GPIO5_IO8 ECSPI1_MOSI = Pin(135) # GPIO5_IO7 ECSPI1_SCLK = Pin(134) # GPIO5_IO6 ECSPI1_SS0 = Pin(133) # GPIO5_IO9 i2cPorts = ( (1, I2C2_SCL, I2C2_SDA), (2, I2C3_SCL, I2C3_SDA), ) # ordered as spiId, sckId, mosiId, misoId spiPorts = ((32766, ECSPI1_SCLK, ECSPI1_MOSI, ECSPI1_MISO),) # SysFS pwm outputs, pwm channel and pin in first tuple pwmOuts = ( ((0, 0), PWM1), ((1, 0), PWM2), ((2, 0), PWM3), ) # UART1_TXD/RXD on /dev/ttymxc0 # UART3_TXD/RXD not available (?)

40a6b849baa3d6157474b3fbb32815cc8922b2da

py

Python

Allura/allura/tests/functional/test_admin.py

rohankumardubey/allura

9c490a051ca912d28b81ce656441d6fed100cb24

Allura/allura/tests/functional/test_admin.py

rohankumardubey/allura

9c490a051ca912d28b81ce656441d6fed100cb24

2021-10-17T11:32:56.000Z

2021-10-17T11:32:56.000Z

Allura/allura/tests/functional/test_admin.py

rohankumardubey/allura

9c490a051ca912d28b81ce656441d6fed100cb24

# coding=utf-8 # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. from __future__ import unicode_literals from __future__ import absolute_import import os from datetime import datetime import pkg_resources from io import BytesIO import logging from io import open import tg import PIL from alluratest.tools import assert_equals, assert_in, assert_not_in, assert_is_not_none, assert_greater from ming.orm.ormsession import ThreadLocalORMSession from tg import expose from tg import tmpl_context as c, app_globals as g import mock import six import allura from allura.tests import TestController from allura.tests import decorators as td from allura.tests.decorators import audits, out_audits from alluratest.controller import TestRestApiBase, setup_trove_categories from allura import model as M from allura.app import SitemapEntry from allura.lib.plugin import AdminExtension from allura.lib import helpers as h from allura.ext.admin.admin_main import AdminApp from forgewiki.wiki_main import ForgeWikiApp log = logging.getLogger(__name__) class TestProjectAdmin(TestController): def test_admin_controller(self): self.app.get('/admin/') with audits( 'change summary to Milkshakes are for crazy monkeys', 'change project name to My Test Project', r'change short description to (\u00bf A Test Project \?){45}'): r = self.app.post('/admin/update', params=dict( name='My Test Project', shortname='test', summary='Milkshakes are for crazy monkeys', short_description=('\u00bf A Test Project ?' * 45).encode('utf-8'), labels='aaa,bbb')) assert r.status_int == 302, (r.status, r.html.select('.error,.fielderror')) r = self.app.get('/admin/overview') assert b'A Test Project ?\xc2\xbf A' in r.body assert 'Test Subproject' not in r assert 'Milkshakes are for crazy monkeys' in r sidebar = r.html.find(id='sidebar') assert sidebar.find('a', href='/p/test/admin/overview'), sidebar # Add a subproject with audits('create subproject test-subproject'): self.app.post('/admin/update_mounts', params={ 'new.install': 'install', 'new.ep_name': '', 'new.ordinal': '1', 'new.mount_point': 'test-subproject', 'new.mount_label': 'Test Subproject'}) r = self.app.get('/admin/overview') assert 'Test Subproject' in r # Rename a subproject with audits('update subproject test/test-subproject'): self.app.post('/admin/update_mounts', params={ 'subproject-0.shortname': 'test/test-subproject', 'subproject-0.name': 'Tst Sbprj', 'subproject-0.ordinal': '100', }) r = self.app.get('/admin/overview') assert 'Tst Sbprj' in r # Remove a subproject with audits('delete subproject test/test-subproject'): self.app.post('/admin/update_mounts', params={ 'subproject-0.delete': 'on', 'subproject-0.shortname': 'test/test-subproject', 'new.ep_name': '', }) # Add a tool with audits('install tool test-tool'): r = self.app.post('/admin/update_mounts', params={ 'new.install': 'install', 'new.ep_name': 'Wiki', 'new.ordinal': '1', 'new.mount_point': 'test-tool', 'new.mount_label': 'Test Tool'}) assert 'error' not in self.webflash(r) # check tool in the nav r = self.app.get('/p/test/test-tool/').follow() active_link = r.html.findAll('li', {'class': 'selected'}) assert_equals(len(active_link), 1) assert active_link[0].contents[1]['href'] == '/p/test/test-tool/' with audits('install tool test-tool2'): r = self.app.post('/admin/update_mounts', params={ 'new.install': 'install', 'new.ep_name': 'Wiki', 'new.ordinal': '1', 'new.mount_point': 'test-tool2', 'new.mount_label': 'Test Tool2'}) assert 'error' not in self.webflash(r) # check the nav - tools of same type are grouped r = self.app.get('/p/test/test-tool/Home/') active_link = r.html.findAll('li', {'class': 'selected'}) assert len(active_link) == 2 assert active_link[0].contents[1]['href'] == '/p/test/_list/wiki' assert r.html.findAll('a', {'href': '/p/test/test-tool2/'}) assert r.html.findAll('a', {'href': '/p/test/test-tool/'}) # check can't create dup tool r = self.app.post('/admin/update_mounts', params={ 'new.install': 'install', 'new.ep_name': 'Wiki', 'new.ordinal': '1', 'new.mount_point': 'test-tool', 'new.mount_label': 'Test Tool'}) assert 'error' in self.webflash(r) # Rename a tool with audits('update tool test-tool'): self.app.post('/admin/update_mounts', params={ 'tool-0.mount_point': 'test-tool', 'tool-0.mount_label': 'Tst Tuul', 'tool-0.ordinal': '200', }) r = self.app.get('/admin/overview') assert 'Tst Tuul' in r # Remove a tool with audits('uninstall tool test-tool'): self.app.post('/admin/update_mounts', params={ 'tool-0.delete': 'on', 'tool-0.mount_point': 'test-tool', 'new.ep_name': '', }) # Check the audit log r = self.app.get('/admin/audit/') assert "uninstall tool test-tool" in r.text, r.text # Make sure several 'project_menu_updated' events got sent menu_updated_events = M.MonQTask.query.find({ 'task_name': 'allura.tasks.event_tasks.event', 'args': 'project_menu_updated' }).all() assert_equals(len(menu_updated_events), 7) def test_features(self): proj = M.Project.query.get(shortname='test') assert_equals(proj.features, []) with audits(r"change project features to \[{u}'One', {u}'Two'\]".format(u='u' if six.PY2 else '')): resp = self.app.post('/admin/update', params={ 'features-0.feature': 'One', 'features-1.feature': ' ', 'features-2.feature': ' Two '}) if resp.status_int == 200: errors = resp.html.findAll('', attrs={'class': 'fielderror'}) assert_equals([], errors) errors = resp.html.findAll('', attrs={'class': 'error'}) assert_equals([], errors) raise AssertionError('Should be a 301 not 200 response') r = self.app.get('/admin/overview') features = r.html.find('div', {'id': 'features'}) features = features.findAll('input', {'type': 'text'}) # two features + extra empty input + stub hidden input for js assert_equals(len(features), 2+1+1) assert_equals(features[0]['value'], 'One') assert_equals(features[1]['value'], 'Two') proj = M.Project.query.get(shortname='test') assert_equals(proj.features, ['One', 'Two']) @td.with_wiki def test_block_user_empty_data(self): r = self.app.post('/admin/wiki/block_user', params={'username': '', 'perm': '', 'reason': ''}) assert_equals(r.json, dict(error='Enter username')) @td.with_wiki def test_unblock_user_empty_data(self): r = self.app.post('/admin/wiki/unblock_user', params={'user_id': '', 'perm': ''}) assert_equals(r.json, dict(error='Select user to unblock')) @td.with_wiki def test_block_user(self): r = self.app.get('/admin/wiki/permissions') assert '<input type="checkbox" name="user_id"' not in r user = M.User.by_username('test-admin') r = self.app.post('/admin/wiki/block_user', params={'username': 'test-admin', 'perm': 'read', 'reason': 'Comment'}) assert_equals( r.json, dict(user_id=str(user._id), username='test-admin', reason='Comment')) user = M.User.by_username('test-admin') admin_role = M.ProjectRole.by_user(user) app = M.Project.query.get(shortname='test').app_instance('wiki') ace = M.ACL.contains(M.ACE.deny(admin_role._id, 'read'), app.acl) assert_equals(ace.reason, 'Comment') r = self.app.get('/admin/wiki/permissions') assert '<input type="checkbox" name="user_id" value="%s">test-admin (Comment)' % user._id in r @td.with_wiki def test_unblock_user(self): r = self.app.post('/admin/wiki/block_user', params={'username': 'test-admin', 'perm': 'read'}) user = M.User.by_username('test-admin') admin_role = M.ProjectRole.by_user(user) app = M.Project.query.get(shortname='test').app_instance('wiki') ace = M.ACE.deny(admin_role._id, 'read') r = self.app.get('/admin/wiki/permissions') assert '<input type="checkbox" name="user_id" value="%s">test-admin' % user._id in r app = M.Project.query.get(shortname='test').app_instance('wiki') assert M.ACL.contains(ace, app.acl) is not None r = self.app.post('/admin/wiki/unblock_user', params={'user_id': str(user._id), 'perm': 'read'}) assert_equals(r.json, dict(unblocked=[str(user._id)])) assert M.ACL.contains(ace, app.acl) is None r = self.app.get('/admin/wiki/permissions') assert '<input type="checkbox" name="user_id"' not in r @td.with_wiki def test_block_unblock_multiple_users(self): self.app.post('/admin/wiki/block_user', params={'username': 'test-admin', 'perm': 'read', 'reason': 'Spammer'}) self.app.post('/admin/wiki/block_user', params={'username': 'test-user', 'perm': 'read'}) admin = M.User.by_username('test-admin') user = M.User.by_username('test-user') admin_role = M.ProjectRole.by_user(admin) user_role = M.ProjectRole.by_user(user) app = M.Project.query.get(shortname='test').app_instance('wiki') deny_admin = M.ACE.deny(admin_role._id, 'read') deny_user = M.ACE.deny(user_role._id, 'read') assert M.ACL.contains(deny_admin, app.acl) is not None assert M.ACL.contains(deny_user, app.acl) is not None r = self.app.get('/admin/wiki/permissions') assert '<input type="checkbox" name="user_id" value="%s">test-admin (Spammer)' % admin._id in r assert '<input type="checkbox" name="user_id" value="%s">test-user' % user._id in r self.app.post('/admin/wiki/unblock_user', params={'user_id': str(user._id), 'perm': 'read'}) self.app.post('/admin/wiki/unblock_user', params={'user_id': str(admin._id), 'perm': 'read'}) app = M.Project.query.get(shortname='test').app_instance('wiki') assert M.ACL.contains(deny_admin, app.acl) is None assert M.ACL.contains(deny_user, app.acl) is None r = self.app.get('/admin/wiki/permissions') assert '<input type="checkbox" name="user_id"' not in r @td.with_wiki def test_blocked_users_remains_after_saving_all_permissions(self): self.app.post('/admin/wiki/block_user', params={'username': 'test-user', 'perm': 'read', 'reason': 'Comment'}) self.app.post('/admin/wiki/block_user', params={'username': 'test-user', 'perm': 'post', 'reason': 'Comment'}) user = M.User.by_username('test-user') user_role = M.ProjectRole.by_user(user) app = M.Project.query.get(shortname='test').app_instance('wiki') assert M.ACL.contains(M.ACE.deny(user_role._id, 'read'), app.acl) assert M.ACL.contains(M.ACE.deny(user_role._id, 'post'), app.acl) old_acl = app.acl permissions_page = self.app.get('/admin/wiki/permissions') permissions_page.forms[0].submit() # deny ACEs for user still should be there app = M.Project.query.get(shortname='test').app_instance('wiki') assert M.ACL.contains(M.ACE.deny(user_role._id, 'read'), app.acl) assert M.ACL.contains(M.ACE.deny(user_role._id, 'post'), app.acl) # ...and all old ACEs also for ace in old_acl: assert_in(ace, app.acl) def test_tool_permissions(self): BUILTIN_APPS = ['activity', 'blog', 'discussion', 'git', 'link', 'shorturl', 'svn', 'tickets', 'userstats', 'wiki'] self.app.get('/admin/') project = M.Project.query.get(shortname='test') for i, ep in enumerate(pkg_resources.iter_entry_points('allura')): App = ep.load() tool = ep.name cfg = M.AppConfig( project_id=project._id, tool_name=tool, options={'mount_point': '', 'mount_label': ''}) app = App(project, cfg) if not app.installable or ep.name.lower() not in BUILTIN_APPS: continue with audits('install tool test-%d' % i): self.app.post('/admin/update_mounts', params={ 'new.install': 'install', 'new.ep_name': tool, 'new.ordinal': str(i), 'new.mount_point': 'test-%d' % i, 'new.mount_label': tool}) r = self.app.get('/admin/test-%d/permissions' % i) cards = [ tag for tag in r.html.findAll('input') if ( tag.get('type') == 'hidden' and tag.get('name') and tag['name'].startswith('card-') and tag['name'].endswith('.id'))] assert len(cards) == len(app.permissions), cards def test_tool_installation_limit(self): with mock.patch.object(ForgeWikiApp, 'max_instances') as mi: mi.__get__ = mock.Mock(return_value=1) c.user = M.User.query.get(username='root') c.project = M.Project.query.get(shortname='test') data = c.project.nav_data(admin_options=True) menu = [tool['text'] for tool in data['installable_tools']] assert_in('Wiki', menu) r = self.app.post('/p/test/admin/update_mounts/', params={ 'new.install': 'install', 'new.ep_name': 'Wiki', 'new.ordinal': '1', 'new.mount_point': 'wiki', 'new.mount_label': 'Wiki'}) c.project = M.Project.query.get(shortname='test') data = c.project.nav_data(admin_options=True) menu = [tool['text'] for tool in data['installable_tools']] assert_not_in('Wiki', menu) r = self.app.post('/p/test/admin/update_mounts/', params={ 'new.install': 'install', 'new.ep_name': 'Wiki', 'new.ordinal': '1', 'new.mount_point': 'wiki2', 'new.mount_label': 'Wiki 2'}) assert 'error' in self.webflash(r) assert 'limit exceeded' in self.webflash(r) def test_install_tool_form(self): r = self.app.get('/admin/install_tool?tool_name=wiki') assert_in('Installing Wiki', r) def test_install_tool_form_options(self): opts = ['AllowEmailPosting'] with mock.patch.object(ForgeWikiApp, 'config_on_install', new=opts): r = self.app.get('/admin/install_tool?tool_name=wiki') assert_in('<input id="AllowEmailPosting" name="AllowEmailPosting"', r) def test_install_tool_form_subproject(self): r = self.app.get('/admin/install_tool?tool_name=subproject') assert_in('Installing Sub Project', r) def test_project_icon(self): file_name = 'neo-icon-set-454545-256x350.png' file_path = os.path.join( allura.__path__[0], 'nf', 'allura', 'images', file_name) file_data = open(file_path, 'rb').read() upload = ('icon', file_name, file_data) self.app.get('/admin/') with audits('update project icon'): self.app.post('/admin/update', params=dict( name='Test Project', shortname='test', short_description='A Test Project'), upload_files=[upload]) r = self.app.get('/p/test/icon') image = PIL.Image.open(BytesIO(r.body)) assert image.size == (48, 48) r = self.app.get('/p/test/icon?foo=bar') r = self.app.get('/p/test/icon?w=96') image = PIL.Image.open(BytesIO(r.body)) assert image.size == (96, 96) r = self.app.get('/p/test/icon?w=12345', status=404) def test_project_screenshot(self): file_name = 'neo-icon-set-454545-256x350.png' file_path = os.path.join( allura.__path__[0], 'nf', 'allura', 'images', file_name) file_data = open(file_path, 'rb').read() upload = ('screenshot', file_name, file_data) self.app.get('/admin/') with audits('add screenshot'): self.app.post('/admin/add_screenshot', params=dict( caption='test me'), upload_files=[upload]) p_nbhd = M.Neighborhood.query.get(name='Projects') project = M.Project.query.get( shortname='test', neighborhood_id=p_nbhd._id) filename = project.get_screenshots()[0].filename r = self.app.get('/p/test/screenshot/' + filename) uploaded = PIL.Image.open(file_path) screenshot = PIL.Image.open(BytesIO(r.body)) assert uploaded.size == screenshot.size r = self.app.get('/p/test/screenshot/' + filename + '/thumb') thumb = PIL.Image.open(BytesIO(r.body)) assert thumb.size == (150, 150) # FIX: home pages don't currently support screenshots (now that they're a wiki); # reinstate this code (or appropriate) when we have a macro for that # r = self.app.get('/p/test/home/') # assert '/p/test/screenshot/'+filename in r # assert 'test me' in r # test edit req = self.app.get('/admin/screenshots') req.forms[0]['caption'].value = 'aaa' req.forms[0].submit() # r = self.app.get('/p/test/home/') # assert 'aaa' in r # test delete req = self.app.get('/admin/screenshots') req.forms[1].submit() # r = self.app.get('/p/test/home/') # assert 'aaa' not in r def test_sort_screenshots(self): for file_name in ('admin_24.png', 'admin_32.png'): file_path = os.path.join(allura.__path__[0], 'nf', 'allura', 'images', file_name) file_data = open(file_path, 'rb').read() upload = ('screenshot', file_name, file_data) self.app.post('/admin/add_screenshot', params=dict( caption=file_name), upload_files=[upload]) p_nbhd = M.Neighborhood.query.get(name='Projects') project = M.Project.query.get(shortname='test', neighborhood_id=p_nbhd._id) # first uploaded is first by default screenshots = project.get_screenshots() assert_equals(screenshots[0].filename, 'admin_24.png') # reverse order params = dict((str(ss._id), str(len(screenshots) - 1 - i)) for i, ss in enumerate(screenshots)) self.app.post('/admin/sort_screenshots', params) assert_equals(project.get_screenshots()[0].filename, 'admin_32.png') def test_project_delete_undelete(self): # create a subproject with audits('create subproject sub-del-undel'): self.app.post('/admin/update_mounts', params={ 'new.install': 'install', 'new.ep_name': '', 'new.ordinal': '1', 'new.mount_point': 'sub-del-undel', 'new.mount_label': 'sub-del-undel'}) r = self.app.get('/p/test/admin/overview') assert 'This project has been deleted and is not visible to non-admin users' not in r assert r.html.find('input', {'name': 'removal', 'value': ''}).has_attr('checked') assert not r.html.find('input', {'name': 'removal', 'value': 'deleted'}).has_attr('checked') with audits('delete project'): self.app.post('/admin/update', params=dict( name='Test Project', shortname='test', removal='deleted', short_description='A Test Project', delete='on')) r = self.app.get('/p/test/admin/overview') assert 'This project has been deleted and is not visible to non-admin users' in r assert not r.html.find('input', {'name': 'removal', 'value': ''}).has_attr('checked') assert r.html.find('input', {'name': 'removal', 'value': 'deleted'}).has_attr('checked') # make sure subprojects get deleted too r = self.app.get('/p/test/sub-del-undel/admin/overview') assert 'This project has been deleted and is not visible to non-admin users' in r with audits('undelete project'): self.app.post('/admin/update', params=dict( name='Test Project', shortname='test', removal='', short_description='A Test Project', undelete='on')) r = self.app.get('/p/test/admin/overview') assert 'This project has been deleted and is not visible to non-admin users' not in r assert r.html.find('input', {'name': 'removal', 'value': ''}).has_attr('checked') assert not r.html.find('input', {'name': 'removal', 'value': 'deleted'}).has_attr('checked') def test_project_delete_not_allowed(self): # turn off project delete option from allura.ext.admin.admin_main import config old_allow_project_delete = config.get('allow_project_delete', ()) config['allow_project_delete'] = False try: # create a subproject with audits('create subproject sub-no-del'): self.app.post('/admin/update_mounts', params={ 'new.install': 'install', 'new.ep_name': '', 'new.ordinal': '1', 'new.mount_point': 'sub-no-del', 'new.mount_label': 'sub-no-del'}) # root project doesn't have delete option r = self.app.get('/p/test/admin/overview') assert not r.html.find('input', {'name': 'removal', 'value': 'deleted'}) # subprojects can still be deleted r = self.app.get('/p/test/sub-no-del/admin/overview') assert r.html.find('input', {'name': 'removal', 'value': 'deleted'}) # attempt to delete root project won't do anything self.app.post('/admin/update', params=dict( name='Test Project', shortname='test', removal='deleted', short_description='A Test Project', delete='on')) r = self.app.get('/p/test/admin/overview') assert 'This project has been deleted and is not visible to non-admin users' not in r # make sure subproject delete works with audits( 'change project removal status to deleted', 'delete project'): self.app.post('/p/test/sub-no-del/admin/update', params=dict( name='sub1', shortname='sub1', removal='deleted', short_description='A Test Project', delete='on')) r = self.app.get('/p/test/sub-no-del/admin/overview') assert 'This project has been deleted and is not visible to non-admin users' in r assert r.html.find('input', {'name': 'removal', 'value': 'deleted'}).has_attr('checked') finally: if old_allow_project_delete == (): del config['allow_project_delete'] else: config['allow_project_delete'] = old_allow_project_delete def test_add_remove_trove_cat(self): setup_trove_categories() r = self.app.get('/admin/trove') assert 'No Database Environment categories have been selected.' in r assert '<span class="trove_fullpath">Database API</span>' not in r # add a cat with audits('add trove root_database: Database Environment :: Database API'): form = r.forms['add_trove_root_database'] form['new_trove'].value = '506' r = form.submit().follow() # make sure it worked assert 'No Database Environment categories have been selected.' not in r assert '<span class="trove_fullpath">Database API » Python Database API</span>' in r # delete the cat with audits('remove trove root_database: Database Environment :: Database API'): r = r.forms['delete_trove_root_database_506'].submit().follow() # make sure it worked assert 'No Database Environment categories have been selected.' in r assert '<span class="trove_fullpath">Database API » Python Database API</span>' not in r def test_add_remove_label(self): setup_trove_categories() r = self.app.get('/admin/trove') form = r.forms['label_edit_form'] form['labels'].value = 'foo,bar,baz' with audits('updated labels'): r = form.submit() r = r.follow() p_nbhd = M.Neighborhood.query.get(name='Projects') p = M.Project.query.get(shortname='test', neighborhood_id=p_nbhd._id) assert p.labels == ['foo', 'bar', 'baz'] assert form['labels'].value == 'foo,bar,baz' ThreadLocalORMSession.close_all() form['labels'].value = 'asdf' with audits('updated labels'): r = form.submit() r = r.follow() p = M.Project.query.get(shortname='test', neighborhood_id=p_nbhd._id) assert_equals(p.labels, ['asdf']) assert form['labels'].value == 'asdf' @td.with_wiki def test_log_permission(self): r = self.app.get('/admin/wiki/permissions') select = r.html.find('select', {'name': 'card-0.new'}) opt_admin = select.find(text='Admin').parent opt_developer = select.find(text='Developer').parent assert opt_admin.name == 'option' assert opt_developer.name == 'option' with audits('updated "admin" permission: "Admin" => "Admin, Developer" for wiki'): self.app.post('/admin/wiki/update', params={ 'card-0.new': opt_developer['value'], 'card-0.value': opt_admin['value'], 'card-0.id': 'admin'}) with audits('updated "admin" permission: "Admin, Developer" => "Admin" for wiki'): self.app.post('/admin/wiki/update', params={ 'card-0.value': opt_admin['value'], 'card-0.id': 'admin'}) def test_project_permissions(self): r = self.app.get('/admin/permissions/', status=302) assert_in('/admin/groups', r.location) def test_subproject_permissions(self): with audits('create subproject test-subproject'): self.app.post('/admin/update_mounts', params={ 'new.install': 'install', 'new.ep_name': '', 'new.ordinal': '1', 'new.mount_point': 'test-subproject', 'new.mount_label': 'Test Subproject'}) r = self.app.get('/test-subproject/admin/permissions/') assert len(r.html.findAll('input', {'name': 'card-0.value'})) == 0 select = r.html.find('select', {'name': 'card-0.new'}) opt_admin = select.find(text='Admin').parent opt_developer = select.find(text='Developer').parent assert opt_admin.name == 'option' assert opt_developer.name == 'option' with audits('updated "admin" permissions: "" => "Admin,Developer"'): r = self.app.post('/test-subproject/admin/permissions/update', params={ 'card-0.new': opt_developer['value'], 'card-0.value': opt_admin['value'], 'card-0.id': 'admin'}) r = self.app.get('/test-subproject/admin/permissions/') assigned_ids = [t['value'] for t in r.html.findAll('input', {'name': 'card-0.value'})] assert len(assigned_ids) == 2 assert opt_developer['value'] in assigned_ids assert opt_admin['value'] in assigned_ids def test_project_groups(self): r = self.app.get('/admin/groups/') dev_holder = r.html.find('table', {'id': 'usergroup_admin'}).findAll('tr')[2] developer_id = dev_holder['data-group'] with audits('add user test-user to Developer'): r = self.app.post('/admin/groups/add_user', params={ 'role_id': developer_id, 'username': 'test-user'}) r = self.app.get('/admin/groups/') dev_holder = r.html.find('table', {'id': 'usergroup_admin'}).findAll('tr')[2] users = dev_holder.find('ul', {'class': 'users'}).findAll( 'li', {'class': 'deleter'}) assert 'test-user' in users[0]['data-user'] def test_new_admin_subscriptions(self): """Newly added admin must be subscribed to all the tools in the project""" r = self.app.get('/admin/groups/') admin_holder = r.html.find( 'table', {'id': 'usergroup_admin'}).findAll('tr')[1] admin_id = admin_holder['data-group'] with audits('add user test-user to Admin'): self.app.post('/admin/groups/add_user', params={ 'role_id': admin_id, 'username': 'test-user'}) p_nbhd = M.Neighborhood.query.get(name='Projects') p = M.Project.query.get(shortname='test', neighborhood_id=p_nbhd._id) uid = M.User.by_username('test-user')._id for ac in p.app_configs: sub = M.Mailbox.subscribed( user_id=uid, project_id=p._id, app_config_id=ac._id) assert sub, 'New admin not subscribed to app %s' % ac def test_new_user_subscriptions(self): """Newly added user must not be subscribed to all the tools in the project if he is not admin""" r = self.app.get('/admin/groups/') dev_holder = r.html.find( 'table', {'id': 'usergroup_admin'}).findAll('tr')[2] developer_id = dev_holder['data-group'] with audits('add user test-user to Developer'): self.app.post('/admin/groups/add_user', params={ 'role_id': developer_id, 'username': 'test-user'}) p_nbhd = M.Neighborhood.query.get(name='Projects') p = M.Project.query.get(shortname='test', neighborhood_id=p_nbhd._id) uid = M.User.by_username('test-user')._id for ac in p.app_configs: sub = M.Mailbox.subscribed( user_id=uid, project_id=p._id, app_config_id=ac._id) assert not sub, 'New user subscribed to app %s' % ac def test_subroles(self): """Make sure subroles are preserved during group updates.""" def check_roles(r): dev_holder = r.html.find( 'table', {'id': 'usergroup_admin'}).findAll('tr')[2] mem_holder = r.html.find( 'table', {'id': 'usergroup_admin'}).findAll('tr')[3] assert 'All users in Admin group' in dev_holder.text assert 'All users in Developer group' in mem_holder.text r = self.app.get('/admin/groups/') admin_holder = r.html.find( 'table', {'id': 'usergroup_admin'}).findAll('tr')[1] admin_id = admin_holder['data-group'] # test that subroles are intact after user added with audits('add user test-user to Admin'): r = self.app.post('/admin/groups/add_user', params={ 'role_id': admin_id, 'username': 'test-user'}) r = self.app.get('/admin/groups/') check_roles(r) # test that subroles are intact after user deleted with audits('remove user test-user from Admin'): r = self.app.post('/admin/groups/remove_user', params={ 'role_id': admin_id, 'username': 'test-user'}) r = self.app.get('/admin/groups/') check_roles(r) def test_cannot_remove_all_admins(self): """Must always have at least one user with the Admin role (and anon doesn't count).""" r = self.app.get('/admin/groups/') admin_holder = r.html.find( 'table', {'id': 'usergroup_admin'}).findAll('tr')[1] admin_id = admin_holder['data-group'] users = admin_holder.find('ul', {'class': 'users'}).findAll( 'li', {'class': 'deleter'}) assert len(users) == 1 r = self.app.post('/admin/groups/remove_user', params={ 'role_id': admin_id, 'username': 'admin1'}) assert r.json[ 'error'] == 'You must have at least one user with the Admin role.' r = self.app.get('/admin/groups/') admin_holder = r.html.find( 'table', {'id': 'usergroup_admin'}).findAll('tr')[1] users = admin_holder.find('ul', {'class': 'users'}).findAll( 'li', {'class': 'deleter'}) assert len(users) == 1 def test_cannot_add_anon_to_group(self): r = self.app.get('/admin/groups/') dev_holder = r.html.find( 'table', {'id': 'usergroup_admin'}).findAll('tr')[2] developer_id = dev_holder['data-group'] r = self.app.post('/admin/groups/add_user', params={ 'role_id': developer_id, 'username': ''}) assert r.json['error'] == 'You must choose a user to add.' r = self.app.get('/admin/groups/') dev_holder = r.html.find( 'table', {'id': 'usergroup_admin'}).findAll('tr')[2] users = dev_holder.find('ul', {'class': 'users'}).findAll( 'li', {'class': 'deleter'}) # no user was added assert len(users) == 0 assert M.ProjectRole.query.find(dict( name='*anonymous', user_id=None, roles={'$ne': []})).count() == 0 def test_project_multi_groups(self): r = self.app.get('/admin/groups/') admin_holder = r.html.find('table', {'id': 'usergroup_admin'}).findAll('tr')[1] admin_id = admin_holder['data-group'] with audits('add user test-user to Admin'): r = self.app.post('/admin/groups/add_user', params={ 'role_id': admin_id, 'username': 'test-user'}) assert 'error' not in r.json r = self.app.post('/admin/groups/add_user', params={ 'role_id': admin_id, 'username': 'test-user'}) assert r.json['error'] == 'Test User (test-user) is already in the group Admin.' r = self.app.get('/admin/groups/') assert 'test-user' in str(r), r.showbrowser() with audits('remove user test-user from Admin'): r = self.app.post('/admin/groups/remove_user', params={ 'role_id': admin_id, 'username': 'test-user'}) r = self.app.get('/admin/groups/') assert 'test-user' not in str(r), r.showbrowser() @td.with_wiki def test_new_group(self): r = self.app.get('/admin/groups/new', validate_chunk=True) with audits('create group Developer'): r = self.app.post('/admin/groups/create', params={'name': 'Developer'}) assert 'error' in self.webflash(r) with audits('create group RoleNew1'): r = self.app.post('/admin/groups/create', params={'name': 'RoleNew1'}) r = self.app.get('/admin/groups/') role_holder = r.html.find('table', {'id': 'usergroup_admin'}).findAll('tr')[4] assert 'RoleNew1' in role_holder.text role_id = role_holder['data-group'] # add test-user to role role_holder = r.html.find('table', {'id': 'usergroup_admin'}).findAll('tr')[4] with audits('add user test-user to RoleNew1'): r = self.app.post('/admin/groups/add_user', params={ 'role_id': role_id, 'username': 'test-user'}) with audits('delete group RoleNew1'): r = self.app.post('/admin/groups/delete_group', params={ 'group_name': 'RoleNew1'}) assert 'deleted' in self.webflash(r) r = self.app.get('/admin/groups/', status=200) roles = [t.text for t in r.html.findAll('td', {'class': 'group'})] assert 'RoleNew1' not in roles # make sure can still access homepage after one of user's roles were # deleted r = self.app.get('/p/test/wiki/', extra_environ=dict(username=str('test-user'))).follow() assert r.status == '200 OK' def test_change_perms(self): r = self.app.get('/admin/groups/') dev_holder = r.html.find('table', {'id': 'usergroup_admin'}).findAll('tr')[2] mem_holder = r.html.find('table', {'id': 'usergroup_admin'}).findAll('tr')[3] mem_id = mem_holder['data-group'] # neither group has create permission assert dev_holder.select_one('li[data-permission=create]')['class'] == ["no"] assert mem_holder.select_one('li[data-permission=create]')['class'] == ["no"] # add create permission to Member r = self.app.post('/admin/groups/change_perm', params={ 'role_id': mem_id, 'permission': 'create', 'allow': 'true'}) r = self.app.get('/admin/groups/') dev_holder = r.html.find('table', {'id': 'usergroup_admin'}).findAll('tr')[2] mem_holder = r.html.find('table', {'id': 'usergroup_admin'}).findAll('tr')[3] # Member now has create permission assert mem_holder.select_one('li[data-permission=create]')['class'] == ["yes"] # Developer has inherited create permission from Member assert dev_holder.select_one('li[data-permission=create]')['class'] == ["inherit"] # remove update permission from Member r = self.app.post('/admin/groups/change_perm', params={ 'role_id': mem_id, 'permission': 'create', 'allow': 'false'}) r = self.app.get('/admin/groups/') dev_holder = r.html.find('table', {'id': 'usergroup_admin'}).findAll('tr')[2] mem_holder = r.html.find('table', {'id': 'usergroup_admin'}).findAll('tr')[3] # neither group has create permission assert dev_holder.select_one('li[data-permission=create]')['class'] == ["no"] assert mem_holder.select_one('li[data-permission=create]')['class'] == ["no"] def test_permission_inherit(self): r = self.app.get('/admin/groups/') admin_holder = r.html.find('table', {'id': 'usergroup_admin'}).findAll('tr')[1] admin_id = admin_holder['data-group'] mem_holder = r.html.find('table', {'id': 'usergroup_admin'}).findAll('tr')[3] mem_id = mem_holder['data-group'] anon_holder = r.html.find('table', {'id': 'usergroup_admin'}).findAll('tr')[5] anon_id = anon_holder['data-group'] # first remove create from Admin so we can see it inherit r = self.app.post('/admin/groups/change_perm', params={ 'role_id': admin_id, 'permission': 'create', 'allow': 'false'}) # updates to anon inherit up r = self.app.post('/admin/groups/change_perm', params={ 'role_id': anon_id, 'permission': 'create', 'allow': 'true'}) assert {'text': 'Inherited permission create from Anonymous', 'has': 'inherit', 'name': 'create'} in r.json[admin_id] assert {'text': 'Inherited permission create from Anonymous', 'has': 'inherit', 'name': 'create'} in r.json[mem_id] assert {'text': 'Has permission create', 'has': 'yes', 'name': 'create'} in r.json[anon_id] r = self.app.post('/admin/groups/change_perm', params={ 'role_id': anon_id, 'permission': 'create', 'allow': 'false'}) assert {'text': 'Does not have permission create', 'has': 'no', 'name': 'create'} in r.json[admin_id] assert {'text': 'Does not have permission create', 'has': 'no', 'name': 'create'} in r.json[mem_id] assert {'text': 'Does not have permission create', 'has': 'no', 'name': 'create'} in r.json[anon_id] # updates to Member inherit up r = self.app.post('/admin/groups/change_perm', params={ 'role_id': mem_id, 'permission': 'create', 'allow': 'true'}) assert {'text': 'Inherited permission create from Member', 'has': 'inherit', 'name': 'create'} in r.json[admin_id] assert {'text': 'Has permission create', 'has': 'yes', 'name': 'create'} in r.json[mem_id] assert {'text': 'Does not have permission create', 'has': 'no', 'name': 'create'} in r.json[anon_id] r = self.app.post('/admin/groups/change_perm', params={ 'role_id': mem_id, 'permission': 'create', 'allow': 'false'}) assert {'text': 'Does not have permission create', 'has': 'no', 'name': 'create'} in r.json[admin_id] assert {'text': 'Does not have permission create', 'has': 'no', 'name': 'create'} in r.json[mem_id] assert {'text': 'Does not have permission create', 'has': 'no', 'name': 'create'} in r.json[anon_id] def test_admin_extension_sidebar(self): class FooSettingsController(object): @expose() def index(self, *a, **kw): return 'here the foo settings go' class FooSettingsExtension(AdminExtension): def update_project_sidebar_menu(self, sidebar_links): base_url = c.project.url() + 'admin/ext/' sidebar_links.append( SitemapEntry('Foo Settings', base_url + 'foo')) @property def project_admin_controllers(self): return { 'foo': FooSettingsController, } eps = { 'admin': { 'foo-settings': FooSettingsExtension, } } with mock.patch.dict(g.entry_points, eps): main_page = self.app.get('/admin/') foo_page = main_page.click(description='Foo Settings') url = foo_page.request.path assert url.endswith('/admin/ext/foo'), url assert_equals('here the foo settings go', foo_page.text) def test_nbhd_invitations(self): r = self.app.get('/admin/invitations') r.mustcontain('Neighborhood Invitation(s) for test') class TestExport(TestController): def setUp(self): super(TestExport, self).setUp() self.setup_with_tools() @td.with_wiki @td.with_tool('test', 'Wiki', 'wiki2', 'Wiki2') def setup_with_tools(self): pass def test_exportable_tools_for(self): project = M.Project.query.get(shortname='test') exportable_tools = AdminApp.exportable_tools_for(project) exportable_mount_points = [ t.options.mount_point for t in exportable_tools] assert_equals(exportable_mount_points, ['admin', 'wiki', 'wiki2']) def test_access(self): r = self.app.get('/admin/export', extra_environ={'username': str('*anonymous')}).follow() assert_equals(r.request.url, 'http://localhost/auth/?return_to=%2Fadmin%2Fexport') self.app.get('/admin/export', extra_environ={'username': str('test-user')}, status=403) r = self.app.post('/admin/export', extra_environ={'username': str('*anonymous')}).follow() assert_equals(r.request.url, 'http://localhost/auth/') self.app.post('/admin/export', extra_environ={'username': str('test-user')}, status=403) def test_ini_option(self): tg.config['bulk_export_enabled'] = 'false' r = self.app.get('/admin/') assert_not_in('Export', r) r = self.app.get('/admin/export', status=404) tg.config['bulk_export_enabled'] = 'true' r = self.app.get('/admin/') assert_in('Export', r) @mock.patch('allura.model.session.project_doc_session') def test_export_page_contains_exportable_tools(self, session): session.return_value = {'result': [{"total_size": 10000}]} r = self.app.get('/admin/export') assert_in('Wiki</label> <a href="/p/test/wiki/">/p/test/wiki/</a>', r) assert_in( 'Wiki2</label> <a href="/p/test/wiki2/">/p/test/wiki2/</a>', r) assert_not_in( 'Search</label> <a href="/p/test/search/">/p/test/search/</a>', r) def test_export_page_contains_hidden_tools(self): with mock.patch('allura.ext.search.search_main.SearchApp.exportable'): project = M.Project.query.get(shortname='test') exportable_tools = AdminApp.exportable_tools_for(project) exportable_mount_points = [ t.options.mount_point for t in exportable_tools] assert_equals(exportable_mount_points, ['admin', 'search', 'wiki', 'wiki2']) def test_tools_not_selected(self): r = self.app.post('/admin/export') assert_in('error', self.webflash(r)) def test_bad_tool(self): r = self.app.post('/admin/export', {'tools': 'search'}) assert_in('error', self.webflash(r)) @mock.patch('allura.ext.admin.admin_main.export_tasks') @mock.patch.dict(tg.config, {'bulk_export_filename': '{project}.zip'}) def test_selected_one_tool(self, export_tasks): r = self.app.post('/admin/export', {'tools': 'wiki'}) assert_in('ok', self.webflash(r)) export_tasks.bulk_export.post.assert_called_once_with( ['wiki'], 'test.zip', send_email=True, with_attachments=False) @mock.patch('allura.ext.admin.admin_main.export_tasks') @mock.patch.dict(tg.config, {'bulk_export_filename': '{project}.zip'}) def test_selected_multiple_tools(self, export_tasks): r = self.app.post('/admin/export', {'tools': ['wiki', 'wiki2']}) assert_in('ok', self.webflash(r)) export_tasks.bulk_export.post.assert_called_once_with( ['wiki', 'wiki2'], 'test.zip', send_email=True, with_attachments=False) @mock.patch('allura.model.session.project_doc_session') def test_export_in_progress(self, session): from allura.tasks import export_tasks session.return_value = {'result': [{"total_size": 10000}]} export_tasks.bulk_export.post(['wiki']) r = self.app.get('/admin/export') assert_in('<h2>Busy</h2>', r.text) @td.with_user_project('test-user') def test_bulk_export_path_for_user_project(self): project = M.Project.query.get(shortname='u/test-user') assert_equals(project.bulk_export_path(tg.config['bulk_export_path']), '/tmp/bulk_export/u/test-user') @td.with_user_project('test-user') def test_bulk_export_filename_for_user_project(self): project = M.Project.query.get(shortname='u/test-user') filename = project.bulk_export_filename() assert filename.startswith('test-user-backup-{}-'.format(datetime.utcnow().year)) assert filename.endswith('.zip') def test_bulk_export_filename_for_nbhd(self): project = M.Project.query.get(name='Home Project for Projects') filename = project.bulk_export_filename() assert filename.startswith('p-backup-{}-'.format(datetime.utcnow().year)) assert filename.endswith('.zip') def test_bulk_export_path_for_nbhd(self): project = M.Project.query.get(name='Home Project for Projects') assert_equals(project.bulk_export_path(tg.config['bulk_export_path']), '/tmp/bulk_export/p/p') @mock.patch('allura.model.session.project_doc_session') def test_export_page_contains_check_all_checkbox(self, session): session.return_value = {'result': [{"total_size": 10000}]} r = self.app.get('/admin/export') assert_in('<input type="checkbox" id="check-all">', r) assert_in('Check All</label>', r) class TestRestExport(TestRestApiBase): @mock.patch('allura.model.project.MonQTask') def test_export_status(self, MonQTask): MonQTask.query.get.return_value = None r = self.api_get('/rest/p/test/admin/export_status') assert_equals(r.json, {'status': 'ready'}) MonQTask.query.get.return_value = 'something' r = self.api_get('/rest/p/test/admin/export_status') assert_equals(r.json, {'status': 'busy'}) @mock.patch('allura.model.project.MonQTask') @mock.patch('allura.ext.admin.admin_main.AdminApp.exportable_tools_for') @mock.patch('allura.ext.admin.admin_main.export_tasks.bulk_export') def test_export_no_exportable_tools(self, bulk_export, exportable_tools, MonQTask): MonQTask.query.get.return_value = None exportable_tools.return_value = [] self.api_post('/rest/p/test/admin/export', tools='tickets, discussion', status=400) assert_equals(bulk_export.post.call_count, 0) @mock.patch('allura.model.project.MonQTask') @mock.patch('allura.ext.admin.admin_main.AdminApp.exportable_tools_for') @mock.patch('allura.ext.admin.admin_main.export_tasks.bulk_export') def test_export_no_tools_specified(self, bulk_export, exportable_tools, MonQTask): MonQTask.query.get.return_value = None exportable_tools.return_value = [ mock.Mock(options=mock.Mock(mount_point='tickets')), mock.Mock(options=mock.Mock(mount_point='discussion')), ] self.api_post('/rest/p/test/admin/export', status=400) assert_equals(bulk_export.post.call_count, 0) @mock.patch('allura.model.project.MonQTask') @mock.patch('allura.ext.admin.admin_main.AdminApp.exportable_tools_for') @mock.patch('allura.ext.admin.admin_main.export_tasks.bulk_export') def test_export_busy(self, bulk_export, exportable_tools, MonQTask): MonQTask.query.get.return_value = 'something' exportable_tools.return_value = [ mock.Mock(options=mock.Mock(mount_point='tickets')), mock.Mock(options=mock.Mock(mount_point='discussion')), ] self.api_post('/rest/p/test/admin/export', tools='tickets, discussion', status=503) assert_equals(bulk_export.post.call_count, 0) @mock.patch('allura.model.project.MonQTask') @mock.patch('allura.ext.admin.admin_main.AdminApp.exportable_tools_for') @mock.patch('allura.ext.admin.admin_main.export_tasks.bulk_export') @mock.patch.dict(tg.config, {'bulk_export_filename': '{project}.zip'}) def test_export_ok(self, bulk_export, exportable_tools, MonQTask): MonQTask.query.get.return_value = None exportable_tools.return_value = [ mock.Mock(options=mock.Mock(mount_point='tickets')), mock.Mock(options=mock.Mock(mount_point='discussion')), ] r = self.api_post('/rest/p/test/admin/export', tools='tickets, discussion', status=200) assert_equals(r.json, { 'filename': 'test.zip', 'status': 'in progress', }) bulk_export.post.assert_called_once_with( ['tickets', 'discussion'], 'test.zip', send_email=False, with_attachments=False) class TestRestInstallTool(TestRestApiBase): def test_missing_mount_info(self): r = self.api_get('/rest/p/test/') tools_names = [t['name'] for t in r.json['tools']] assert 'tickets' not in tools_names data = { 'tool': 'tickets' } r = self.api_post('/rest/p/test/admin/install_tool/', **data) assert_equals(r.json['success'], False) assert_equals(r.json['info'], 'All arguments required.') def test_invalid_tool(self): r = self.api_get('/rest/p/test/') tools_names = [t['name'] for t in r.json['tools']] assert 'tickets' not in tools_names data = { 'tool': 'something', 'mount_point': 'ticketsmount1', 'mount_label': 'tickets_label1' } r = self.api_post('/rest/p/test/admin/install_tool/', **data) assert_equals(r.json['success'], False) assert_equals(r.json['info'], 'Incorrect tool name, or limit is reached.') def test_bad_mount(self): r = self.api_get('/rest/p/test/') tools_names = [t['name'] for t in r.json['tools']] assert 'tickets' not in tools_names data = { 'tool': 'tickets', 'mount_point': 'tickets_mount1', 'mount_label': 'tickets_label1' } r = self.api_post('/rest/p/test/admin/install_tool/', **data) assert_equals(r.json['success'], False) assert_equals(r.json['info'], 'Mount point "tickets_mount1" is invalid') def test_install_tool_ok(self): r = self.api_get('/rest/p/test/') tools_names = [t['name'] for t in r.json['tools']] assert 'tickets' not in tools_names data = { 'tool': 'tickets', 'mount_point': 'ticketsmount1', 'mount_label': 'tickets_label1' } r = self.api_post('/rest/p/test/admin/install_tool/', **data) assert_equals(r.json['success'], True) assert_equals(r.json['info'], 'Tool %s with mount_point %s and mount_label %s was created.' % ('tickets', 'ticketsmount1', 'tickets_label1')) project = M.Project.query.get(shortname='test') assert_equals(project.ordered_mounts() [-1]['ac'].options.mount_point, 'ticketsmount1') audit_log = M.AuditLog.query.find( {'project_id': project._id}).sort('_id', -1).first() assert_equals(audit_log.message, 'install tool ticketsmount1') def test_tool_exists(self): with mock.patch.object(ForgeWikiApp, 'max_instances') as mi: mi.__get__ = mock.Mock(return_value=2) r = self.api_get('/rest/p/test/') tools_names = [t['name'] for t in r.json['tools']] assert 'wiki' not in tools_names data = { 'tool': 'wiki', 'mount_point': 'wikimount1', 'mount_label': 'wiki_label1' } project = M.Project.query.get(shortname='test') with h.push_config(c, user=M.User.query.get()): project.install_app('wiki', mount_point=data['mount_point']) r = self.api_post('/rest/p/test/admin/install_tool/', **data) assert_equals(r.json['success'], False) assert_equals(r.json['info'], 'Mount point already exists.') def test_tool_installation_limit(self): with mock.patch.object(ForgeWikiApp, 'max_instances') as mi: mi.__get__ = mock.Mock(return_value=1) r = self.api_get('/rest/p/test/') tools_names = [t['name'] for t in r.json['tools']] assert 'wiki' not in tools_names data = { 'tool': 'wiki', 'mount_point': 'wikimount', 'mount_label': 'wiki_label' } r = self.api_post('/rest/p/test/admin/install_tool/', **data) assert_equals(r.json['success'], True) data['mount_point'] = 'wikimount1' data['mount_label'] = 'wiki_label1' r = self.api_post('/rest/p/test/admin/install_tool/', **data) assert_equals(r.json['success'], False) assert_equals(r.json['info'], 'Incorrect tool name, or limit is reached.') def test_unauthorized(self): r = self.api_get('/rest/p/test/') tools_names = [t['name'] for t in r.json['tools']] assert 'tickets' not in tools_names data = { 'tool': 'wiki', 'mount_point': 'wikimount1', 'mount_label': 'wiki_label1' } r = self.app.post('/rest/p/test/admin/install_tool/', extra_environ={'username': str('*anonymous')}, status=401, params=data) assert_equals(r.status, '401 Unauthorized') def test_order(self): def get_labels(): project = M.Project.query.get(shortname='test') labels = [] for mount in project.ordered_mounts(include_hidden=True): if 'ac' in mount: labels.append(mount['ac'].options.mount_label) elif 'sub' in mount: labels.append(mount['sub'].name) return labels assert_equals(get_labels(), ['Admin', 'Search', 'Activity', 'A Subproject']) data = [ { 'tool': 'tickets', 'mount_point': 'ticketsmount1', 'mount_label': 'ta', }, { 'tool': 'tickets', 'mount_point': 'ticketsmount2', 'mount_label': 'tc', 'order': 'last' }, { 'tool': 'tickets', 'mount_point': 'ticketsmount3', 'mount_label': 'tb', 'order': 'alpha_tool' }, { 'tool': 'tickets', 'mount_point': 'ticketsmount4', 'mount_label': 't1', 'order': 'first' }, ] for datum in data: r = self.api_post('/rest/p/test/admin/install_tool/', **datum) assert_equals(r.json['success'], True) assert_equals(r.json['info'], 'Tool %s with mount_point %s and mount_label %s was created.' % (datum['tool'], datum['mount_point'], datum['mount_label'])) assert_equals( get_labels(), ['t1', 'Admin', 'Search', 'Activity', 'A Subproject', 'ta', 'tb', 'tc']) class TestRestAdminOptions(TestRestApiBase): def test_no_mount_point(self): r = self.api_get('/rest/p/test/admin/admin_options/', status=400) assert_in('Must provide a mount point', r.text) def test_invalid_mount_point(self): r = self.api_get('/rest/p/test/admin/admin_options/?mount_point=asdf', status=400) assert_in('The mount point you provided was invalid', r.text) @td.with_tool('test', 'Git', 'git') def test_valid_mount_point(self): r = self.api_get('/rest/p/test/admin/admin_options/?mount_point=git', status=200) assert_is_not_none(r.json['options']) class TestRestMountOrder(TestRestApiBase): def test_no_kw(self): r = self.api_post('/rest/p/test/admin/mount_order/', status=400) assert_in('Expected kw params in the form of "ordinal: mount_point"', r.text) def test_invalid_kw(self): data = {'1': 'git', 'two': 'admin'} r = self.api_post('/rest/p/test/admin/mount_order/', status=400, **data) assert_in('Invalid kw: expected "ordinal: mount_point"', r.text) @td.with_wiki def test_reorder(self): d1 = { '0': 'sub1', '1': 'wiki', '2': 'admin' } d2 = { '0': 'wiki', '1': 'sub1', '2': 'admin' } tool = { 'icon': 'tool-admin', 'is_anchored': False, 'mount_point': 'sub1', 'name': 'A Subproject', 'tool_name': 'sub', 'url': '/p/test/sub1/' } # Set initial order to d1 r = self.api_post('/rest/p/test/admin/mount_order/', **d1) assert_equals(r.json['status'], 'ok') # Get index of sub1 a = self.api_get('/p/test/_nav.json').json['menu'].index(tool) # Set order to d2 r = self.api_post('/rest/p/test/admin/mount_order/', **d2) assert_equals(r.json['status'], 'ok') # Get index of sub1 after reordering b = self.api_get('/p/test/_nav.json').json['menu'].index(tool) assert_greater(b, a) class TestRestToolGrouping(TestRestApiBase): def test_invalid_grouping_threshold(self): for invalid_value in ('100', 'asdf'): r = self.api_post('/rest/p/test/admin/configure_tool_grouping/', grouping_threshold=invalid_value, status=400) assert_in('Invalid threshold. Expected a value between 1 and 10', r.text) @td.with_wiki @td.with_tool('test', 'Wiki', 'wiki2') @td.with_tool('test', 'Wiki', 'wiki3') def test_valid_grouping_threshold(self): # Set threshold to 2 r = self.api_post('/rest/p/test/admin/configure_tool_grouping/', grouping_threshold='2', status=200) # The 'wiki' mount_point should not exist at the top level result1 = self.app.get('/p/test/_nav.json') assert_not_in('wiki', [tool['mount_point'] for tool in result1.json['menu']]) # Set threshold to 3 r = self.api_post('/rest/p/test/admin/configure_tool_grouping/', grouping_threshold='3', status=200) # The wiki mount_point should now be at the top level of the menu result2 = self.app.get('/p/test/_nav.json') assert_in('wiki', [tool['mount_point'] for tool in result2.json['menu']]) class TestInstallableTools(TestRestApiBase): def test_installable_tools_response(self): r = self.api_get('/rest/p/test/admin/installable_tools', status=200) assert_in('External Link', [tool['tool_label'] for tool in r.json['tools']])

efa7613ee373901018494fbd09230fa4f98ca8a5

py

Python

vitrage-4.3.1/vitrage/datasources/doctor/driver.py

scottwedge/OpenStack-Stein

7077d1f602031dace92916f14e36b124f474de15

vitrage-4.3.1/vitrage/datasources/doctor/driver.py

scottwedge/OpenStack-Stein

7077d1f602031dace92916f14e36b124f474de15

2019-08-14T06:46:03.000Z

2021-12-13T20:01:25.000Z

vitrage-4.3.1/vitrage/datasources/doctor/driver.py

scottwedge/OpenStack-Stein

7077d1f602031dace92916f14e36b124f474de15

2020-03-15T01:24:15.000Z

2020-07-22T20:34:26.000Z

# Copyright 2016 - Nokia # # 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 collections import namedtuple from oslo_log import log from vitrage.common.constants import DatasourceAction from vitrage.common.constants import DatasourceProperties as DSProps from vitrage.common.constants import EventProperties as EventProps from vitrage.datasources.alarm_driver_base import AlarmDriverBase from vitrage.datasources.doctor import DOCTOR_DATASOURCE from vitrage.datasources.doctor.properties import DoctorDetails from vitrage.datasources.doctor.properties import DoctorProperties \ as DoctorProps from vitrage.datasources.doctor.properties import DoctorStatus from vitrage.datasources.doctor.properties import get_detail LOG = log.getLogger(__name__) class DoctorDriver(AlarmDriverBase): AlarmKey = namedtuple('AlarmKey', ['alarm_name', 'hostname']) def __init__(self, conf): super(DoctorDriver, self).__init__() self.conf = conf self._client = None def _vitrage_type(self): return DOCTOR_DATASOURCE def _alarm_key(self, alarm): return self.AlarmKey(alarm_name=alarm[EventProps.TYPE], hostname=get_detail(alarm, DoctorDetails.HOSTNAME)) def _is_erroneous(self, alarm): return alarm and \ get_detail(alarm, DoctorDetails.STATUS) != DoctorStatus.UP def _is_valid(self, alarm): if not alarm or EventProps.TIME not in alarm or \ EventProps.TYPE not in alarm or \ EventProps.DETAILS not in alarm: return False details = alarm[EventProps.DETAILS] return DoctorDetails.STATUS in details and \ DoctorDetails.HOSTNAME in details def _status_changed(self, new_alarm, old_alarm): return get_detail(old_alarm, DoctorDetails.STATUS) != \ get_detail(new_alarm, DoctorDetails.STATUS) def get_all(self, datasource_action): # pulling alarms is not supported in Doctor monitor return self.make_pickleable([], DOCTOR_DATASOURCE, datasource_action) def get_changes(self, datasource_action): # pulling alarms is not supported in Doctor monitor return self.make_pickleable([], DOCTOR_DATASOURCE, datasource_action) def enrich_event(self, event, event_type): """Enrich the given event :param event: dictionary of this form: { 'time': '2016-04-12T08:00:00.12345', 'type': 'compute.host.down', 'details': { 'hostname': 'compute-1', 'source': 'sample_monitor', 'cause': 'link-down', 'severity': 'critical', 'status': 'down', 'monitor_id': 'monitor-1', 'monitor_event_id': '123', } } :param event_type: always 'compute.host.down' :return: the same event, with the following changes: - DoctorProps.UPDATE_TIME - the event 'time' if it is new, or the update time of the same event if it is already cached """ LOG.debug('Going to enrich event: %s', event) event[DSProps.EVENT_TYPE] = event[EventProps.TYPE] old_alarm = self._old_alarm(event) if old_alarm and not self._status_changed(old_alarm, event): event[DoctorProps.UPDATE_TIME] = old_alarm[DoctorProps.UPDATE_TIME] else: event[DoctorProps.UPDATE_TIME] = event[EventProps.TIME] event = self._filter_and_cache_alarm(event, old_alarm, self._filter_get_erroneous, event[EventProps.TIME]) LOG.debug('Enriched event: %s', event) if event: return DoctorDriver.make_pickleable([event], DOCTOR_DATASOURCE, DatasourceAction.UPDATE)[0] @staticmethod def get_event_types(): return [DoctorProps.CUSTOM_EVENT_DOWN, DoctorProps.CUSTOM_EVENT_UP]

3f2ca313b5eaba90b4257f98c1445ed337ce4034

py

Python

leetcode/1155.py

Cannizza-zzk/python_review

5a04b3dbc8baa835780c039386529e20e69af81c

leetcode/1155.py

Cannizza-zzk/python_review

5a04b3dbc8baa835780c039386529e20e69af81c

leetcode/1155.py

Cannizza-zzk/python_review

5a04b3dbc8baa835780c039386529e20e69af81c

class Solution: def __init__(self) -> None: self.mod = 10**9 + 7 self.dp ={} def numRollsToTarget(self, d: int, f: int, target: int) -> int: if (d, target) in self.dp: return self.dp[(d,target)] elif d == 0: self.dp[(d,target)] = 0 if target > 0 else 1 return self.dp[(d,target)] else: ans = 0 for i in range(max(0,target -f),target): ans += self.numRollsToTarget(d - 1,f,i) self.dp[(d,target)] = ans return ans % self.mod

d9b5391e0868649be571b14f411f1c335980a180

py

Python

ocdskingfisherprocess/cli/commands/transform_collections.py

aguilerapy/kingfisher-process

0c588076a47ecef99b195bb546903ed8125bf06a

ocdskingfisherprocess/cli/commands/transform_collections.py

aguilerapy/kingfisher-process

0c588076a47ecef99b195bb546903ed8125bf06a

2019-04-22T21:17:07.000Z

2019-04-22T21:17:07.000Z

ocdskingfisherprocess/cli/commands/transform_collections.py

aguilerapy/kingfisher-process

0c588076a47ecef99b195bb546903ed8125bf06a

import ocdskingfisherprocess.database import ocdskingfisherprocess.cli.commands.base from ocdskingfisherprocess.transform.util import get_transform_instance import datetime from threading import Timer import os class TransformCollectionsCLICommand(ocdskingfisherprocess.cli.commands.base.CLICommand): command = 'transform-collections' def configure_subparser(self, subparser): subparser.add_argument("--runforseconds", help="Run for this many seconds only.") def run_command(self, args): run_until_timestamp = None run_for_seconds = int(args.runforseconds) if args.runforseconds else 0 if run_for_seconds > 0: run_until_timestamp = datetime.datetime.utcnow().timestamp() + run_for_seconds # This is a safeguard - the process should stop itself but this will kill it if it does not. def exitfunc(): os._exit(0) Timer(run_for_seconds + 60, exitfunc).start() for collection in self.database.get_all_collections(): if collection.transform_type: if not args.quiet: print("Collection " + str(collection.database_id)) transform = get_transform_instance(collection.transform_type, self.config, self.database, collection, run_until_timestamp=run_until_timestamp) transform.process() # Early return? if run_until_timestamp and run_until_timestamp < datetime.datetime.utcnow().timestamp(): break # If the code above took less than 60 seconds the process will stay open, waiting for the Timer to execute. # So just kill it to make sure. os._exit(0)

e4c71b837b1c3d21a1ca8a396b27c7b4ff759502

py

Python

WebMirror/management/rss_parser_funcs/feed_parse_extractEdentranslationsblogWordpressCom.py

fake-name/ReadableWebProxy

ed5c7abe38706acc2684a1e6cd80242a03c5f010

2016-08-02T22:04:35.000Z

2022-03-09T20:45:41.000Z

WebMirror/management/rss_parser_funcs/feed_parse_extractEdentranslationsblogWordpressCom.py

fake-name/ReadableWebProxy

ed5c7abe38706acc2684a1e6cd80242a03c5f010

2016-08-23T20:48:23.000Z

2022-03-28T15:55:13.000Z

WebMirror/management/rss_parser_funcs/feed_parse_extractEdentranslationsblogWordpressCom.py

rrosajp/ReadableWebProxy

ed5c7abe38706acc2684a1e6cd80242a03c5f010

2015-08-13T18:01:08.000Z

2021-07-12T17:13:09.000Z

def extractEdentranslationsblogWordpressCom(item): ''' Parser for 'edentranslationsblog.wordpress.com' ''' vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title']) if not (chp or vol) or "preview" in item['title'].lower(): return None if "School Beauty Personal Bodyguard" in item['tags']: return buildReleaseMessageWithType(item, "School Beauty Personal Bodyguard", vol, chp, frag=frag, postfix=postfix) return False

f273a85ea70b7279dc0e6084d569b5688347cd34

py

Python

python/afdko/ttxn.py

kanou-h/afdko

875042f2f8ffa6da088893f57dd0b5b614cc560b

python/afdko/ttxn.py

kanou-h/afdko

875042f2f8ffa6da088893f57dd0b5b614cc560b

python/afdko/ttxn.py

kanou-h/afdko

875042f2f8ffa6da088893f57dd0b5b614cc560b

#! /usr/bin/env python # Copyright 2014 Adobe. All Rights Reserved. """ How to build a feature-file format. 1) Traverse script->language->feature tree, building up list as we go. These are all expected to be in alphabetic order in the font. Add each feature entry as FeatDict[tag][lang_sys].append(index]), and as FeatDict[index] .append(lang_sys) If there is no DFLT script, then step through all entries of FeatDict[index]. Add FeatDict[tag]["DFLT_dflt"].append(index) for all FeatDict[index] where the number of lang_sys entries is the same as the number of lang_sys values. Write out the language systems. Collect and write the class defs. For each lookup in lookup list: for each class def in the lookup: add entry to ClassesByNameDict[<glyph list as tuple>].append(lookup index, subtable_index, class index) Get list of keys for ClassesByNameDict. Sort. MakeClassNameDict. For each keys for ClassesByNameDict: make class name from <firstglyph_lastglyph>. while class name is in ClassesByNameDict: find glyph in current class that is not in previous class, and make name firstglyph_diff-glyph_last-glyph add entry to ClassesByLookup[lookup index, subtable_index, class index)] = class name. Same for mark classes. Write out class defs. Write out the feature list. Make lookupDict = {} Get feat tag list. For each tag: note if DFLT dflt lang sys has any lookups. for each lang_sys ( by definition, starts with DFLT, then the rest in alpha order). If script is DFLT: don't write script/lang build list of lookups for DFLT script. else: get union of lookup indicies in all feat indicies Remove all the default lookups from the lookup list: if no lookups left, continue if there was no intersection with default lookups, set exclude keyword if the script is same as last one, write language only, else write script and language. if lookupIndex is in lookupDict: just write lookup references else: write lookup definition with name "feat_script_lang_new_index" """ from __future__ import print_function, absolute_import __help__ = """ ttxn v1.21.0 Aug 30 2018 Based on the ttx tool, with the same options, except that it is limited to dumping, and cannot compile. Makes a normalized dump of the font, or of selected tables. Adds additional options: -nh : suppresses hints in the glyph outline dump. -nv : suppress version info in output: head.fontRevision and name ID 3. -se : show if lookup is wrapped in an Extension lookup type; by default, this information is suppressed. """ import sys from fontTools import ttx from fontTools.ttLib import TTFont, tagToXML, TTLibError from fontTools.ttLib.tables.DefaultTable import DefaultTable from fontTools.misc.loggingTools import Timer from fontTools.misc.py23 import open, basestring import copy import subprocess import re import collections import textwrap import platform import getopt import logging from afdko.fdkutils import get_temp_file_path log = logging.getLogger('fontTools.ttx') curSystem = platform.system() TX_TOOL = 'tx' INDENT = " " ChainINDENT = INDENT + "C " MAX_LINE_LENGTH = 80 gtextWrapper = textwrap.TextWrapper(width=MAX_LINE_LENGTH, subsequent_indent=INDENT + INDENT) NULL_VALUE_RECORD = "<0 0 0 0>" def getValueRecord(a, b, c, d): return "<%s %s %s %s>" % (a, b, c, d) def getAnchorString(anchorTable): if not anchorTable: return "<anchor NULL>" tokenList = ["<anchor", "%d" % anchorTable.XCoordinate, "%d" % anchorTable.YCoordinate] if anchorTable.Format == 2: tokenList.append("%d" % anchorTable.AnchorPoint) elif anchorTable.Format == 3: tokenList.append("%d" % anchorTable.XDeviceTable) tokenList.append("%d" % anchorTable.YDeviceTable) return " ".join(tokenList) + ">" class ClassRecord: def __init__(self, lookupIndex, subtableIndex, classIndex, side="", anchor=None): self.lookupIndex = lookupIndex self.subtableIndex = subtableIndex self.classIndex = classIndex self.side = side # None if not a kern pair, else "Left" or "Right" self.anchor = anchor def __repr__(self): return "(lookup %s subtable %s class %s side %s anchor %s)" % ( self.lookupIndex, self.subtableIndex, self.classIndex, self.side, self.anchor) def addClassDef(otlConv, classDefs, coverage, side=None, anchor=None): classDict = {} glyphDict = copy.deepcopy(otlConv.glyphDict) for name, classIndex in classDefs.items(): del glyphDict[name] try: classDict[classIndex].append(name) except KeyError: classDict[classIndex] = [name] classZeroList = None if coverage: if 0 not in classDict: classZeroList = sorted(glyphDict.keys()) i = len(classZeroList) while i > 0: i -= 1 name = classZeroList[i] if not (name in coverage.glyphs): classZeroList.remove(name) if classZeroList: classDict[0] = classZeroList else: classDict[0] = [] for classIndex, nameList in classDict.items(): key = tuple(sorted(nameList)) classRec = ClassRecord(otlConv.curLookupIndex, otlConv.curSubTableIndex, classIndex, side) otlConv.classesByNameList[key].append(classRec) def AddMarkClassDef(otlConv, markCoverage, markArray, tag): markGlyphList = markCoverage.glyphs markClass = collections.defaultdict(list) for m, markGlyph in enumerate(markGlyphList): markRec = markArray.MarkRecord[m] markClass[markRec.Class].append( (getAnchorString(markRec.MarkAnchor), markGlyph)) # Get the mark class names from the global dict for c, valueList in markClass.items(): anchorDict = collections.defaultdict(list) for anchor, glyph in valueList: anchorDict[anchor].append(glyph) defList = [] for anchor, glyphList in anchorDict.items(): defList.append((tuple(sorted(glyphList)), anchor)) classRec = ClassRecord(otlConv.curLookupIndex, otlConv.curSubTableIndex, c, tag) otlConv.markClassesByDefList[tuple(sorted(defList))].append(classRec) def classPairGPOS(subtable, otlConv=None): addClassDef(otlConv, subtable.ClassDef1.classDefs, subtable.Coverage, otlConv.leftSideTag) addClassDef(otlConv, subtable.ClassDef2.classDefs, None, otlConv.rightSideTag) def markClassPOS(subtable, otlConv=None): AddMarkClassDef(otlConv, subtable.MarkCoverage, subtable.MarkArray, otlConv.markTag) def markLigClassPOS(subtable, otlConv=None): AddMarkClassDef(otlConv, subtable.MarkCoverage, subtable.MarkArray, otlConv.markTag) def markMarkClassPOS(subtable, otlConv=None): AddMarkClassDef(otlConv, subtable.Mark1Coverage, subtable.Mark1Array, otlConv.mark1Tag) def classContext(subtable, otlConv): addClassDef(otlConv, subtable.ClassDef.classDefs, None) def classChainContext(subtable, otlConv): for class_def_name in ('BacktrackClassDef', 'InputClassDef', 'LookAheadClassDef'): class_def = getattr(subtable, class_def_name) if class_def: addClassDef(otlConv, class_def.classDefs, None, class_def_name) def classExt(subtable, otlConv): handler = otlConv.classHandlers.get( (subtable.ExtensionLookupType, subtable.ExtSubTable.Format), None) if handler: handler(subtable.ExtSubTable, otlConv) class ContextRecord: def __init__(self, inputList, sequenceIndex): self.inputList = inputList self.sequenceIndex = sequenceIndex self.glyphsUsed = 0 self.result = "" def checkGlyphInSequence(glyphName, contextSequence, i): retVal = 0 try: input_seq = contextSequence[i] if isinstance(input_seq, list): if glyphName in input_seq: retVal = 1 elif isinstance(input_seq, basestring): if glyphName == input_seq: retVal = 1 except IndexError: pass return retVal def ruleSinglePos(subtable, otlConv, context=None): rules = [] noMatchRules = [] # contains the rules that don't match the context if context: indent = ChainINDENT inputSeqList = context.inputList[context.sequenceIndex:] else: indent = "" inputSeqList = [] if subtable.Format == 1: valueString = getValRec(subtable.ValueFormat, subtable.Value) if valueString and valueString != "0" and ( valueString != NULL_VALUE_RECORD): for tglyph in subtable.Coverage.glyphs: rule = note = None if context and (not checkGlyphInSequence( tglyph, inputSeqList, 0)): note = " # Note! Not in input sequence" else: note = "" rule = "%spos %s %s;%s" % (indent, tglyph, valueString, note) if context and note: noMatchRules.append(rule) else: rules.append(rule) elif subtable.Format == 2: for i, subtable_value in enumerate(subtable.Value): rule = note = None tglyph = subtable.Coverage.glyphs[i] valueString = getValRec(subtable.ValueFormat, subtable_value) if valueString and valueString != "0" and ( valueString != NULL_VALUE_RECORD): if context and (tglyph not in inputSeqList): note = " # Note! Not in input sequence" else: note = "" rule = "%spos %s %s;%s" % (indent, tglyph, valueString, note) if context and note: noMatchRules.append(rule) else: rules.append(rule) else: raise AttributeError("Unknown Single Pos format") if rules: return sorted(rules) else: return sorted(noMatchRules) def rulePairPos(subtable, otlConv, context=None): rules = [] noMatchRules = [] # contains the rules that don't match the context if context: indent = ChainINDENT inputSeqList = context.inputList[context.sequenceIndex:] else: indent = "" inputSeqList = [] if subtable.Format == 1: firstGlyphList = subtable.Coverage.glyphs for i, pairSet in enumerate(subtable.PairSet): g1 = firstGlyphList[i] for pairValueRec in pairSet.PairValueRecord: rule = note = None g2 = pairValueRec.SecondGlyph note = "" if context: note = " # Note! Not in input sequence" if pairValueRec.Value1: valueString = getValRec(subtable.ValueFormat1, pairValueRec.Value1) if valueString and valueString != "0" and ( valueString != NULL_VALUE_RECORD): rule = "%spos %s %s %s%s;" % (indent, g1, g2, valueString, note) if pairValueRec.Value2: valueString = getValRec(subtable.ValueFormat1, pairValueRec.Value2) if valueString and valueString != "0" and ( valueString != NULL_VALUE_RECORD): note = ("%s # Warning: non-zero pos value record for " "second glyph" % note) rule = "%spos %s %s %s;%s" % (indent, g1, g2, valueString, note) if rule: if context and note: noMatchRules.append(rule) else: rules.append(rule) elif subtable.Format == 2: for i, classRec1 in enumerate(subtable.Class1Record): # if this class reference exists it has to be in classesByLookup. g1 = otlConv.classesByLookup[ otlConv.curLookupIndex, otlConv.curSubTableIndex, i, otlConv.leftSideTag] for j, classRec2 in enumerate(classRec1.Class2Record): rule = note = None g2 = otlConv.classesByLookup[ otlConv.curLookupIndex, otlConv.curSubTableIndex, j, otlConv.rightSideTag] if context: if checkGlyphInSequence(g1, inputSeqList, 0) and ( checkGlyphInSequence(g2, inputSeqList, 1)): note = "" else: note = " # Note! Not in input sequence" else: note = "" if classRec2.Value1: valueString = getValRec(subtable.ValueFormat1, classRec2.Value1) if valueString and valueString != "0": rule = "%spos %s %s %s;%s" % (indent, g1, g2, valueString, note) if classRec2.Value2: valueString = getValRec(subtable.ValueFormat1, classRec2.Value2) if valueString and valueString != "0": note = ("%s # Warning: non-zero pos value record for " "second glyph" % note) rule = "%spos %s %s %s;%s" % (indent, g1, g2, valueString, note) if rule: if context and note: noMatchRules.append(rule) else: rules.append(rule) else: raise AttributeError("Unknown Pair Pos format") if rules: return sorted(rules) else: return sorted(noMatchRules) def ruleCursivePos(subtable, otlConv, context=None): rules = [] noMatchRules = [] # contains the rules that don't match the context if context: indent = ChainINDENT inputSeqList = context.inputList[context.sequenceIndex:] else: indent = "" inputSeqList = [] cursiveGlyphList = subtable.Coverage.glyphs for i, eRec in enumerate(subtable.EntryExitRecord): rule = note = None tglyph = cursiveGlyphList[i] if context and (not checkGlyphInSequence(tglyph, inputSeqList, 0)): note = " # Note! Not in input sequence" else: note = "" anchor1 = getAnchorString(eRec.EntryAnchor) anchor2 = getAnchorString(eRec.ExitAnchor) rule = "%spos cursive %s %s %s;%s" % (indent, tglyph, anchor1, anchor2, note) if context and note: noMatchRules.append(rule) else: rules.append(rule) if rules: return sorted(rules) else: return sorted(noMatchRules) def ruleMarkBasePos(subtable, otlConv, context=None): rules = [] noMatchRules = [] # contains the rules that don't match the context if context: indent = ChainINDENT inputSeqList = context.inputList[context.sequenceIndex:] else: indent = "" inputSeqList = [] subsequentIndent = indent + INDENT markGlyphList = subtable.MarkCoverage.glyphs baseGlyphList = subtable.BaseCoverage.glyphs markClass = collections.defaultdict(list) classCount = len(set(v.Class for v in subtable.MarkArray.MarkRecord)) for m, markGlyph in enumerate(markGlyphList): markRec = subtable.MarkArray.MarkRecord[m] markClass[markRec.Class].append((getAnchorString(markRec.MarkAnchor), markGlyph)) # Get the mark class names from the global dict markClassNameList = [] for c in markClass.keys(): markClassName = otlConv.markClassesByLookup[otlConv.curLookupIndex, otlConv.curSubTableIndex, c, otlConv.markTag] markClassNameList.append(markClassName) # build a dict of [common set of anchors] -> glyph list. baseAnchorSets = collections.defaultdict(list) for b, baseGlyph in enumerate(baseGlyphList): baseRec = subtable.BaseArray.BaseRecord[b] anchorList = [] for c in range(classCount): anchorList.append(getAnchorString(baseRec.BaseAnchor[c])) anchorKey = tuple(anchorList) baseAnchorSets[anchorKey].append(baseGlyph) for anchorKey, glyphList in baseAnchorSets.items(): note = "" glyphList.sort() if context: if isinstance(inputSeqList[0], list): inputList = inputSeqList[0] else: inputList = [inputSeqList[0]] overlapList = set(glyphList).intersection(inputList) if not overlapList: note = " # Note! Not in input sequence" glyphTxt = " ".join(glyphList) else: glyphTxt = " ".join(sorted(overlapList)) else: glyphTxt = " ".join(glyphList) pos_ind = '\n' + INDENT * 4 rule = ["pos base [%s]" % pos_ind.join(gtextWrapper.wrap(glyphTxt))] for cl in range(classCount): rule.append(" %s mark %s" % (anchorKey[cl], markClassNameList[cl])) if (cl + 1) < classCount: # if it is not the last one rule.append("\n%s" % subsequentIndent) rule.append(";") if note: rule.append(note) rule = "".join(rule) if context and note: noMatchRules.append(rule) else: rules.append(rule) if rules: return sorted(rules) else: return sorted(noMatchRules) def ruleMarkLigPos(subtable, otlConv, context=None): rules = [] noMatchRules = [] # contains the rules that don't match the context markGlyphList = subtable.MarkCoverage.glyphs ligGlyphList = subtable.LigatureCoverage.glyphs markClass = collections.defaultdict(list) classCount = len(set(v.Class for v in subtable.MarkArray.MarkRecord)) for m, markGlyph in enumerate(markGlyphList): markRec = subtable.MarkArray.MarkRecord[m] markClass[markRec.Class].append((getAnchorString(markRec.MarkAnchor), markGlyph)) # Get the mark class names from the global dict markClassNameList = [] for c in markClass.keys(): markClassName = otlConv.markClassesByLookup[otlConv.curLookupIndex, otlConv.curSubTableIndex, c, otlConv.markTag] markClassNameList.append(markClassName) if context: indent = ChainINDENT inputSeqList = context.inputList[context.sequenceIndex:] else: indent = "" inputSeqList = [] subsequentIndent = indent + INDENT for l, ligAttach in enumerate(subtable.LigatureArray.LigatureAttach): ligGlyph = ligGlyphList[l] tokenList = ["pos ligature ", ligGlyph] if context and (not checkGlyphInSequence(ligGlyph, inputSeqList, 0)): note = " # Note! Not in input sequence" else: note = "" for cmpIndex, componentRec in enumerate(ligAttach.ComponentRecord): if cmpIndex > 0: tokenList.append("\n%sligComponent" % (subsequentIndent * 5)) for cl in range(classCount): tokenList.append(" %s mark %s" % ( getAnchorString(componentRec.LigatureAnchor[cl]), markClassNameList[cl])) if (cl + 1) < classCount: tokenList.append("\n%s" % subsequentIndent) tokenList.append(";") if note: tokenList.append(note) rule = "".join(tokenList) if context and note: noMatchRules.append(rule) else: rules.append(rule) if rules: return sorted(rules) else: return sorted(noMatchRules) def ruleMarkMarkPos(subtable, otlConv, context=None): rules = [] noMatchRules = [] # contains the rules that don't match the context if context: indent = ChainINDENT inputSeqList = context.inputList[context.sequenceIndex:] else: indent = "" inputSeqList = [] subsequentIndent = indent + INDENT markGlyphList = subtable.Mark1Coverage.glyphs mark2GlyphList = subtable.Mark2Coverage.glyphs markClass = collections.defaultdict(list) classCount = len(set(v.Class for v in subtable.Mark1Array.MarkRecord)) for m, markGlyph in enumerate(markGlyphList): markRec = subtable.Mark1Array.MarkRecord[m] markClass[markRec.Class].append((getAnchorString(markRec.MarkAnchor), markGlyph)) # Get the mark class names from the global dict markClassNameList = [] for c in markClass.keys(): markClassName = otlConv.markClassesByLookup[otlConv.curLookupIndex, otlConv.curSubTableIndex, c, otlConv.mark1Tag] markClassNameList.append(markClassName) mark2AnchorSets = collections.defaultdict(list) for b, mark2Glyph in enumerate(mark2GlyphList): mark2Rec = subtable.Mark2Array.Mark2Record[b] anchorList = [] for c in range(classCount): anchorList.append(getAnchorString(mark2Rec.Mark2Anchor[c])) anchorKey = tuple(anchorList) mark2AnchorSets[anchorKey].append(mark2Glyph) for anchorKey, glyphList in mark2AnchorSets.items(): note = None # This sort will lead the rules to be sorted by base glyph names. glyphList.sort() if context: if isinstance(inputSeqList[0], list): inputList = inputSeqList[0] else: inputList = [inputSeqList[0]] overlapList = set(glyphList).intersection(inputList) if not overlapList: note = " # Note! Not in input sequence" glyphTxt = " ".join(glyphList) else: note = "" glyphTxt = " ".join(overlapList) else: note = "" glyphTxt = " ".join(glyphList) rule = ["%spos mark [%s]" % (indent, glyphTxt)] for cl in range(classCount): rule.append(" %s mark %s" % (anchorKey[cl], markClassNameList[cl])) if (cl + 1) < classCount: # if it is not the last one rule.append("\n%s" % subsequentIndent) rule.append(";") if note: rule.append(note) rule = "".join(rule) if context and note: noMatchRules.append(rule) else: rules.append(rule) if rules: return sorted(rules) else: return sorted(noMatchRules) def ruleContextPOS(subtable, otlConv, context=None): chainRules = [] # pLookupList = otlConv.table.LookupList.Lookup # ruleContextPOS 7-3 # XXX support is incomplete if subtable.Format == 3: log.warn('Support for GPOS LookupType 7, Format 3 is incomplete') inputList = [] inputList2 = [] for input_coverage in subtable.Coverage: glyphList = sorted(input_coverage.glyphs) for i in reversed(range(1, len(glyphList))): if glyphList[i - 1] == glyphList[i]: del glyphList[i] inputList2.append(glyphList) inputList.append("[" + " ".join(glyphList) + "]") inputTxt = "' ".join(inputList) + "'" rule = "pos %s;" % inputTxt posRules = [] # for subRec in subtable.PosLookupRecord: # lookup = pLookupList[subRec.LookupListIndex] # lookupType = lookup.LookupType # curLI = otlConv.curLookupIndex # otlConv.curLookupIndex = subRec.LookupListIndex # handler = otlConv.ruleHandlers[lookupType] # contextRec = ContextRecord(inputList2, subRec.SequenceIndex) # for si, sub_table in enumerate(lookup.SubTable): # curSI = otlConv.curSubTableIndex # otlConv.curSubTableIndex = si # subtablerules = handler(sub_table, otlConv, contextRec) # otlConv.curSubTableIndex = curSI # posRules.extend(subtablerules) # otlConv.curLookupIndex = curLI chainRules.append([rule, posRules]) # ruleContextPOS 7-2 # XXX support is incomplete elif subtable.Format == 2: log.warn('Support for GPOS LookupType 7, Format 2 is incomplete') for i, ctxClassSet in enumerate(subtable.PosClassSet): if not ctxClassSet: continue for ctxClassRule in ctxClassSet.PosClassRule: className = otlConv.classesByLookup[ otlConv.curLookupIndex, otlConv.curSubTableIndex, i, None] inputList = [className] inputList2 = [otlConv.classesByClassName[className]] for classIndex in ctxClassRule.Class: className = otlConv.classesByLookup[ otlConv.curLookupIndex, otlConv.curSubTableIndex, classIndex, None] inputList.append(className) inputList2.append(otlConv.classesByClassName[className]) inputTxt = "' ".join(inputList) + "'" rule = "pos %s;" % inputTxt posRules = [] # for subsRec in ctxClassRule.PosLookupRecord: # lookup = pLookupList[subsRec.LookupListIndex] # lookupType = lookup.LookupType # curLI = otlConv.curLookupIndex # otlConv.curLookupIndex = subsRec.LookupListIndex # handler = otlConv.ruleHandlers[lookupType] # contextRec = ContextRecord( # inputList, subsRec.SequenceIndex) # for si, sub_table in enumerate(lookup.SubTable): # curSI = otlConv.curSubTableIndex # otlConv.curSubTableIndex = si # subtablerules = handler( # sub_table, otlConv, contextRec) # otlConv.curSubTableIndex = curSI # posRules.extend(subtablerules) # otlConv.curLookupIndex = curLI chainRules.append([rule, posRules]) # ruleContextPOS 7-1 # XXX support is incomplete elif subtable.Format == 1: log.warn('Support for GPOS LookupType 7, Format 1 is incomplete') firstGlyphList = subtable.Coverage.glyphs # for each glyph in the coverage table for ri, subRuleSet in enumerate(subtable.PosRuleSet): firstGlyph = firstGlyphList[ri] for ctxRuleRec in subRuleSet.PosRule: inputList = [firstGlyph] + ctxRuleRec.Input inputTxt = "' ".join(inputList) + "'" rule = "pos %s" % inputTxt posRules = [] # for subsRec in ctxRuleRec.PosLookupRecord: # lookup = pLookupList[subsRec.LookupListIndex] # lookupType = lookup.LookupType # curLI = otlConv.curLookupIndex # otlConv.curLookupIndex = subsRec.LookupListIndex # handler = otlConv.ruleHandlers[lookupType] # contextRec = ContextRecord(inputList, # subsRec.SequenceIndex) # for si, sub_table in enumerate(lookup.SubTable): # curSI = otlConv.curSubTableIndex # otlConv.curSubTableIndex = si # subtablerules = handler( # sub_table, otlConv, contextRec) # otlConv.curSubTableIndex = curSI # posRules.extend(subtablerules) # otlConv.curLookupIndex = curLI chainRules.append([rule, posRules]) else: raise AttributeError("Unknown Context Pos format %s" % subtable.Format) rules = [] for chainRule, posRules in sorted(chainRules): rules.append(chainRule) rules.extend(posRules) return rules def ruleChainContextPOS(subtable, otlConv, context=None): chainRules = [] # pLookupList = otlConv.table.LookupList.Lookup # ruleChainContextPOS 8-3 # XXX support is incomplete if subtable.Format == 3: log.warn('Support for GPOS LookupType 8, Format 3 is incomplete') backtrackList = [] for backtrack_coverage in subtable.BacktrackCoverage: glyphList = sorted(backtrack_coverage.glyphs) for i in reversed(range(1, len(glyphList))): if glyphList[i - 1] == glyphList[i]: del glyphList[i] backtrackList.append("[" + " ".join(glyphList) + "]") backtrackList.reverse() backTxt = " ".join(backtrackList) inputList = [] inputList2 = [] for input_coverage in subtable.InputCoverage: glyphList = sorted(input_coverage.glyphs) for i in reversed(range(1, len(glyphList))): if glyphList[i - 1] == glyphList[i]: del glyphList[i] inputList2.append(glyphList) inputList.append("[" + " ".join(glyphList) + "]") inputTxt = "' ".join(inputList) + "'" lookAheadList = [] for lookahead_coverage in subtable.LookAheadCoverage: glyphList = sorted(lookahead_coverage.glyphs) for i in reversed(range(1, len(glyphList))): if glyphList[i - 1] == glyphList[i]: del glyphList[i] lookAheadList.append("[" + " ".join(glyphList) + "]") lookAheadTxt = " ".join(lookAheadList) rule = "pos %s %s %s;" % (backTxt, inputTxt, lookAheadTxt) posRules = [] # for subRec in subtable.PosLookupRecord: # lookup = pLookupList[subRec.LookupListIndex] # lookupType = lookup.LookupType # curLI = otlConv.curLookupIndex # otlConv.curLookupIndex = subRec.LookupListIndex # handler = otlConv.ruleHandlers[lookupType] # contextRec = ContextRecord(inputList2, subRec.SequenceIndex) # for si, sub_table in enumerate(lookup.SubTable): # curSI = otlConv.curSubTableIndex # otlConv.curSubTableIndex = si # subtablerules = handler(sub_table, otlConv, contextRec) # otlConv.curSubTableIndex = curSI # posRules.extend(subtablerules) # otlConv.curLookupIndex = curLI chainRules.append([rule, posRules]) # ruleChainContextPOS 8-2 # XXX support is incomplete elif subtable.Format == 2: log.warn('Support for GPOS LookupType 8, Format 2 is incomplete') for i, ctxClassSet in enumerate(subtable.ChainSubClassSet): if not ctxClassSet: continue for ctxClassRule in ctxClassSet.ChainPosRuleSet: backTrackList = [] for classIndex in ctxClassRule.Backtrack: className = otlConv.classesByLookup[ otlConv.curLookupIndex, otlConv.curSubTableIndex, classIndex, otlConv.backtrackTag] backTrackList.append(className) backTxt = " ".join(backTrackList) className = otlConv.classesByLookup[ otlConv.curLookupIndex, otlConv.curSubTableIndex, i, otlConv.InputTag] inputList = [className] inputList2 = [otlConv.classesByClassName[className]] for classIndex in ctxClassRule.Input: className = otlConv.classesByLookup[ otlConv.curLookupIndex, otlConv.curSubTableIndex, classIndex, otlConv.InputTag] inputList.append(className) inputList2.append(otlConv.classesByClassName[className]) inputTxt = "' ".join(inputList) + "'" lookAheadList = [] for classIndex in ctxClassRule.LookAhead: className = otlConv.classesByLookup[ otlConv.curLookupIndex, otlConv.curSubTableIndex, classIndex, otlConv.lookAheadTag] lookAheadList.append(className) lookTxt = " ".join(lookAheadList) rule = "sub %s %s %s;" % (backTxt, inputTxt, lookTxt) posRules = [] # for subsRec in ctxClassRule.SubstLookupRecord: # lookup = pLookupList[subsRec.LookupListIndex] # lookupType = lookup.LookupType # curLI = otlConv.curLookupIndex # otlConv.curLookupIndex = subsRec.LookupListIndex # handler = otlConv.ruleHandlers[lookupType] # contextRec = ContextRecord(inputList, # subsRec.SequenceIndex) # for si, sub_table in enumerate(lookup.SubTable): # curSI = otlConv.curSubTableIndex # otlConv.curSubTableIndex = si # subtablerules = handler( # sub_table, otlConv, contextRec) # otlConv.curSubTableIndex = curSI # posRules.extend(subtablerules) # otlConv.curLookupIndex = curLI chainRules.append([rule, posRules]) # ruleChainContextPOS 8-1 # XXX support is incomplete elif subtable.Format == 1: log.warn('Support for GPOS LookupType 8, Format 1 is incomplete') firstGlyphList = subtable.Coverage.glyphs # for each glyph in the coverage table for ri, subRuleSet in enumerate(subtable.ChainPosRuleSet): firstGlyph = firstGlyphList[ri] for ctxRuleRec in subRuleSet.ChainPosRule: backList = ctxRuleRec.Backtrack backList.reverse() backTxt = " ".join(backList) inputList = [firstGlyph] + ctxRuleRec.Input inputTxt = "' ".join(inputList) + "'" lookAheadTxt = " ".join(ctxRuleRec.LookAhead) rule = "sub %s %s %s" % (backTxt, inputTxt, lookAheadTxt) posRules = [] # for subsRec in ctxRuleRec.SubstLookupRecord: # lookup = pLookupList[subsRec.LookupListIndex] # lookupType = lookup.LookupType # curLI = otlConv.curLookupIndex # otlConv.curLookupIndex = subsRec.LookupListIndex # handler = otlConv.ruleHandlers[lookupType] # contextRec = ContextRecord(inputList, # subsRec.SequenceIndex) # for si, sub_table in enumerate(lookup.SubTable): # curSI = otlConv.curSubTableIndex # otlConv.curSubTableIndex = si # subtablerules = handler( # sub_table, otlConv, contextRec) # otlConv.curSubTableIndex = curSI # posRules.extend(subtablerules) # otlConv.curLookupIndex = curLI chainRules.append([rule, posRules]) else: raise AttributeError("Unknown Chain Context Pos format %s" % ( subtable.Format)) rules = [] for chainRule, posRules in sorted(chainRules): rules.append(chainRule) rules.extend(posRules) return rules def ruleExt(subtable, otlConv, context=None): handler = otlConv.ruleHandlers[subtable.ExtensionLookupType] rules = handler(subtable.ExtSubTable, otlConv, context) return rules def ruleSingleSub(subtable, otlConv, context=None): rules = [] noMatchRules = [] # contains the rules that don't match the context if context: indent = ChainINDENT inputSeqList = context.inputList[context.sequenceIndex:] else: indent = "" inputSeqList = [] for g1, g2 in subtable.mapping.items(): rule = note = None if context and (not checkGlyphInSequence(g1, inputSeqList, 0)): note = " # Note! Not in input sequence" else: note = "" rule = "%ssub %s by %s;%s" % (indent, g1, g2, note) if context and note: noMatchRules.append(rule) else: rules.append(rule) if rules: return sorted(rules) else: return sorted(noMatchRules) def ruleMultipleSub(subtable, otlConv, context=None): rules = [] noMatchRules = [] # contains the rules that don't match the context if context: indent = ChainINDENT inputSeqList = context.inputList[context.sequenceIndex:] else: indent = "" inputSeqList = [] for g1, substGlyphList in subtable.mapping.items(): rule = note = None if context and (not checkGlyphInSequence(g1, inputSeqList, 0)): note = " # Note! Not in input sequence" else: note = "" subTxt = " ".join(substGlyphList) rule = "%ssub %s by [%s];%s" % (indent, g1, subTxt, note) if context and note: noMatchRules.append(rule) else: rules.append(rule) if rules: return sorted(rules) else: return sorted(noMatchRules) def ruleAltSub(subtable, otlConv, context=None): rules = [] noMatchRules = [] # contains the rules that don't match the context if context: indent = ChainINDENT inputSeqList = context.inputList[context.sequenceIndex:] else: indent = "" inputSeqList = [] for g1, alts in subtable.alternates.items(): rule = note = None if context and (not checkGlyphInSequence(g1, inputSeqList, 0)): note = " # Note! Not in input sequence" else: note = "" altText = " ".join(sorted(alts)) rule = "%ssub %s from [%s];%s" % (indent, g1, altText, note) if context and note: noMatchRules.append(rule) else: rules.append(rule) if rules: return sorted(rules) else: return sorted(noMatchRules) def ruleLigatureSub(subtable, otlConv, context=None): rules = [] noMatchRules = [] # contains the rules that don't match the context if context: indent = ChainINDENT inputSeqList = context.inputList[context.sequenceIndex:] else: indent = "" inputSeqList = [] for item in subtable.ligatures.items(): ligs = item[1] firstGlyph = item[0] for lig in ligs: rule = note = None tokenList = [firstGlyph] missing = [] foundAll = 1 if context: try: if not checkGlyphInSequence(firstGlyph, inputSeqList, 0): raise ValueError # make sure everything else is also present with # the same index. for i, gname in enumerate(lig.Component): if not checkGlyphInSequence(gname, inputSeqList, i + 1): foundAll = 0 missing.append(gname) if not foundAll: note = (" # Note! lig components %s are not in input " "sequence with same index." % " ".join(missing)) else: note = "" except ValueError: note = (" # Note! first glyph %s is not in input " "sequence." % firstGlyph) else: note = "" tokenList.extend(lig.Component) glyphTxt = " ".join(tokenList) rule = "%ssub %s by %s;%s" % (indent, glyphTxt, lig.LigGlyph, note) if context and note: noMatchRules.append(rule) else: rules.append(rule) if rules: return sorted(rules) else: return sorted(noMatchRules) def ruleContextSUB(subtable, otlConv, context=None): chainRules = [] # pLookupList = otlConv.table.LookupList.Lookup # ruleContextSUB 5-3 # XXX support is incomplete if subtable.Format == 3: log.warn('Support for GSUB LookupType 5, Format 3 is incomplete') inputList = [] inputList2 = [] for input_coverage in subtable.Coverage: glyphList = sorted(input_coverage.glyphs) for i in reversed(range(1, len(glyphList))): if glyphList[i - 1] == glyphList[i]: del glyphList[i] inputList2.append(glyphList) inputList.append("[" + " ".join(glyphList) + "]'") inputTxt = "' ".join(inputList) + "'" rule = "sub %s;" % inputTxt subRules = [] # for subRec in subtable.SubstLookupRecord: # lookup = pLookupList[subRec.LookupListIndex] # lookupType = lookup.LookupType # curLI = otlConv.curLookupIndex # otlConv.curLookupIndex = subRec.LookupListIndex # handler = otlConv.ruleHandlers[lookupType] # contextRec = ContextRecord(inputList2, subRec.SequenceIndex) # for si, sub_table in enumerate(lookup.SubTable): # curSI = otlConv.curSubTableIndex # otlConv.curSubTableIndex = si # subtablerules = handler(sub_table, otlConv, contextRec) # otlConv.curSubTableIndex = curSI # subRules.extend(subtablerules) # otlConv.curLookupIndex = curLI chainRules.append([rule, subRules]) # ruleContextSUB 5-2 # XXX support is incomplete elif subtable.Format == 2: log.warn('Support for GSUB LookupType 5, Format 2 is incomplete') for i, ctxClassSet in enumerate(subtable.SubClassSet): if not ctxClassSet: continue for ctxClassRule in ctxClassSet.SubClassRule: className = otlConv.classesByLookup[ otlConv.curLookupIndex, otlConv.curSubTableIndex, i, None] inputList = [className] inputList2 = [otlConv.classesByClassName[className]] for classIndex in ctxClassRule.Class: className = otlConv.classesByLookup[ otlConv.curLookupIndex, otlConv.curSubTableIndex, classIndex, None] inputList.append(className) inputList2.append(otlConv.classesByClassName[className]) inputTxt = "' ".join(inputList) + "'" rule = "sub %s;" % inputTxt subRules = [] # for subsRec in ctxClassRule.SubstLookupRecord: # lookup = pLookupList[subsRec.LookupListIndex] # lookupType = lookup.LookupType # curLI = otlConv.curLookupIndex # otlConv.curLookupIndex = subsRec.LookupListIndex # handler = otlConv.ruleHandlers[lookupType] # contextRec = ContextRecord( # inputList, subsRec.SequenceIndex) # for si, sub_table in enumerate(lookup.SubTable): # curSI = otlConv.curSubTableIndex # otlConv.curSubTableIndex = si # subtablerules = handler( # sub_table, otlConv, contextRec) # otlConv.curSubTableIndex = curSI # subRules.extend(subtablerules) # otlConv.curLookupIndex = curLI chainRules.append([rule, subRules]) # ruleContextSUB 5-1 # XXX support is incomplete elif subtable.Format == 1: log.warn('Support for GSUB LookupType 5, Format 1 is incomplete') firstGlyphList = subtable.Coverage.glyphs # for each glyph in the coverage table for ri, subRuleSet in enumerate(subtable.SubRuleSet): firstGlyph = firstGlyphList[ri] for ctxRuleRec in subRuleSet.SubRule: inputList = [firstGlyph] + ctxRuleRec.Input inputTxt = "' ".join(inputList) + "'" rule = "sub %s" % inputTxt subRules = [] # for subsRec in ctxRuleRec.SubstLookupRecord: # lookup = pLookupList[subsRec.LookupListIndex] # lookupType = lookup.LookupType # curLI = otlConv.curLookupIndex # otlConv.curLookupIndex = subsRec.LookupListIndex # handler = otlConv.ruleHandlers[lookupType] # contextRec = ContextRecord(inputList, # subsRec.SequenceIndex) # for si, sub_table in enumerate(lookup.SubTable): # curSI = otlConv.curSubTableIndex # otlConv.curSubTableIndex = si # subtablerules = handler( # sub_table, otlConv, contextRec) # otlConv.curSubTableIndex = curSI # subRules.extend(subtablerules) # otlConv.curLookupIndex = curLI chainRules.append([rule, subRules]) else: raise AttributeError("Unknown Context Sub format %s" % ( subtable.Format)) rules = [] for chainRule, subRules in sorted(chainRules): rules.append(chainRule) rules.extend(subRules) return rules def wrap_statement(token_str): """ Wraps a long string of space-separated tokens or a list of tokens. """ if isinstance(token_str, list): token_str = ' '.join(token_str) wrap_ind = '\n' + INDENT * 4 return wrap_ind.join(gtextWrapper.wrap(token_str)) def ruleChainContextSUB(subtable, otlConv, context=None): chainRules = [] # pLookupList = otlConv.table.LookupList.Lookup # ruleChainContextSUB 6-3 # XXX support is incomplete if subtable.Format == 3: log.warn('Support for GSUB LookupType 6, Format 3 is incomplete') backtrackList = [] for backtrack_coverage in subtable.BacktrackCoverage: glyphList = sorted(backtrack_coverage.glyphs) for i in reversed(range(1, len(glyphList))): if glyphList[i - 1] == glyphList[i]: del glyphList[i] backtrackList.append("[" + " ".join(glyphList) + "]") backtrackList.reverse() backTxt = " ".join(backtrackList) inputList = [] inputList2 = [] for input_coverage in subtable.InputCoverage: glyphList = sorted(input_coverage.glyphs) for i in reversed(range(1, len(glyphList))): if glyphList[i - 1] == glyphList[i]: del glyphList[i] inputList2.append(glyphList) inputList.append("[" + " ".join(glyphList) + "]'") inputTxt = " ".join(inputList) lookAheadList = [] for lookahead_coverage in subtable.LookAheadCoverage: glyphList = sorted(lookahead_coverage.glyphs) for i in reversed(range(1, len(glyphList))): if glyphList[i - 1] == glyphList[i]: del glyphList[i] lookAheadList.append("[" + " ".join(glyphList) + "]") lookAheadTxt = " ".join(lookAheadList) rule = wrap_statement( "sub %s %s %s;" % (backTxt, inputTxt, lookAheadTxt)) subRules = [] # for subsRec in subtable.SubstLookupRecord: # lookup = pLookupList[subsRec.LookupListIndex] # lookupType = lookup.LookupType # curLI = otlConv.curLookupIndex # otlConv.curLookupIndex = subsRec.LookupListIndex # handler = otlConv.ruleHandlers[lookupType] # contextRec = ContextRecord(inputList2, subsRec.SequenceIndex) # for si, sub_table in enumerate(lookup.SubTable): # curSI = otlConv.curSubTableIndex # otlConv.curSubTableIndex = si # subtablerules = handler(sub_table, otlConv, contextRec) # otlConv.curSubTableIndex = curSI # subRules.extend(subtablerules) # otlConv.curLookupIndex = curLI chainRules.append([rule, subRules]) # ruleChainContextSUB 6-2 # XXX support is incomplete elif subtable.Format == 2: log.warn('Support for GSUB LookupType 6, Format 2 is incomplete') for i, ctxClassSet in enumerate(subtable.ChainSubClassSet): if not ctxClassSet: continue for ctxClassRule in ctxClassSet.ChainSubClassRule: backTrackList = [] for classIndex in ctxClassRule.Backtrack: className = otlConv.classesByLookup[ otlConv.curLookupIndex, otlConv.curSubTableIndex, classIndex, otlConv.backtrackTag] backTrackList.append(className) backTxt = " ".join(backTrackList) className = otlConv.classesByLookup[ otlConv.curLookupIndex, otlConv.curSubTableIndex, i, otlConv.InputTag] inputList = [className] inputList2 = [otlConv.classesByClassName[className]] for classIndex in ctxClassRule.Input: className = otlConv.classesByLookup[ otlConv.curLookupIndex, otlConv.curSubTableIndex, classIndex, otlConv.InputTag] inputList.append(className) inputList2.append(otlConv.classesByClassName[className]) inputTxt = " ".join(inputList) lookAheadList = [] for classIndex in ctxClassRule.LookAhead: className = otlConv.classesByLookup[ otlConv.curLookupIndex, otlConv.curSubTableIndex, classIndex, otlConv.lookAheadTag] lookAheadList.append(className) lookTxt = " ".join(lookAheadList) rule = "sub %s %s' %s;" % (backTxt, inputTxt, lookTxt) subRules = [] # for subsRec in ctxClassRule.SubstLookupRecord: # lookup = pLookupList[subsRec.LookupListIndex] # lookupType = lookup.LookupType # curLI = otlConv.curLookupIndex # otlConv.curLookupIndex = subsRec.LookupListIndex # handler = otlConv.ruleHandlers[lookupType] # contextRec = ContextRecord( # inputList, subsRec.SequenceIndex) # for si, sub_table in enumerate(lookup.SubTable): # curSI = otlConv.curSubTableIndex # otlConv.curSubTableIndex = si # subtablerules = handler( # sub_table, otlConv, contextRec) # otlConv.curSubTableIndex = curSI # subRules.extend(subtablerules) # otlConv.curLookupIndex = curLI chainRules.append([rule, subRules]) # ruleChainContextSUB 6-1 # XXX support is incomplete elif subtable.Format == 1: log.warn('Support for GSUB LookupType 6, Format 1 is incomplete') firstGlyphList = subtable.Coverage.glyphs # for each glyph in the coverage table for ri, subRuleSet in enumerate(subtable.ChainSubRuleSet): firstGlyph = firstGlyphList[ri] for ctxRuleRec in subRuleSet.ChainSubRule: backList = ctxRuleRec.Backtrack backList.reverse() backTxt = " ".join(backList) inputList = [firstGlyph] + ctxRuleRec.Input inputTxt = " ".join(inputList) lookAheadTxt = " ".join(ctxRuleRec.LookAhead) rule = "sub %s %s' %s by " % (backTxt, inputTxt, lookAheadTxt) subRules = [] # for subsRec in ctxRuleRec.SubstLookupRecord: # lookup = pLookupList[subsRec.LookupListIndex] # lookupType = lookup.LookupType # curLI = otlConv.curLookupIndex # otlConv.curLookupIndex = subsRec.LookupListIndex # handler = otlConv.ruleHandlers[lookupType] # contextRec = ContextRecord(inputList, # subsRec.SequenceIndex) # for si, sub_table in enumerate(lookup.SubTable): # curSI = otlConv.curSubTableIndex # otlConv.curSubTableIndex = si # subtablerules = handler( # sub_table, otlConv, contextRec) # otlConv.curSubTableIndex = curSI # subRules.extend(subtablerules) # otlConv.curLookupIndex = curLI chainRules.append([rule, subRules]) else: raise AttributeError("Unknown Chain Context Sub format %s" % ( subtable.Format)) rules = [] for chainRule, subRules in sorted(chainRules): rules.append(chainRule) rules.extend(subRules) return rules def ruleReverseChainSub(subtable, otlConv, context=None): rules = [] if subtable.Format == 1: backtrackList = [] for backtrack_coverage in subtable.BacktrackCoverage: glyphList = sorted(backtrack_coverage.glyphs) for i in reversed(range(1, len(glyphList))): if glyphList[i - 1] == glyphList[i]: del glyphList[i] backtrackTxt = "[ %s ] " % " ".join(glyphList) backtrackList.append(backtrackTxt) backtrackList.reverse() backTxt = " ".join(backtrackList) glyphList = subtable.Coverage.glyphs # Since the substitute list is in the same order as the # coverage table, I need to sort the substitution array # in the same order as the input list. glyphList = sorted([[glyph, i] for i, glyph in enumerate(glyphList)]) substituteList = [] if subtable.Substitute: for entry in glyphList: substituteList.append(subtable.Substitute[entry[1]]) for i in reversed(range(1, len(glyphList))): if glyphList[i - 1] == glyphList[i]: del glyphList[i] del substituteList[i] glyphList = [entry[0] for entry in glyphList] inputTxt = "[ %s ]" % " ".join(glyphList) lookAheadList = [] for lookahead_coverage in subtable.LookAheadCoverage: glyphList = sorted(lookahead_coverage.glyphs) for i in reversed(range(1, len(glyphList))): if glyphList[i - 1] == glyphList[i]: del glyphList[i] lookAheadTxt = " [ %s ]" % " ".join(glyphList) lookAheadList.append(lookAheadTxt) lookAheadTxt = " ".join(lookAheadList) if subtable.Substitute: replText = " by [ %s ]" % (" ".join(substituteList)) else: replText = "" rule = "sub %s%s'%s%s;" % (backTxt, inputTxt, lookAheadTxt, replText) rules.append(rule) return rules def getValRec(valueFormat, valueRec): if valueFormat == 4: return "%d" % valueRec.XAdvance else: xPos = yPos = xAdv = yAdv = 0 if valueFormat & 1: xPos = valueRec.XPlacement if valueFormat & 2: yPos = valueRec.YPlacement if valueFormat & 4: xAdv = valueRec.XAdvance if valueFormat & 8: yAdv = valueRec.YAdvance if xPos == yPos == xAdv == yAdv == 0: return "0" return getValueRecord(xPos, yPos, xAdv, yAdv) gLookupFlagMap = { 1: "RightToLeft", 2: "IgnoreBaseGlyphs", 4: "IgnoreLigatures", 8: "IgnoreMarks", 0xFF00: "MarkAttachmentTypedef", } gLookupFlagKeys = sorted(gLookupFlagMap.keys()) def getLookupFlagTag(lookupFlag): retList = [] for lookupVal in gLookupFlagKeys: if lookupVal & lookupFlag: retList.append(gLookupFlagMap[lookupVal]) if lookupVal == 0xFF00: classIndex = (lookupVal & lookupFlag) >> 8 retList.append("%d" % classIndex) return " ".join(retList) DFLT_LANGSYS_KEYS = (("DFLT", "dflt"), ("dflt", "dflt")) class OTLConverter(object): leftSideTag = "Left" rightSideTag = "Right" backtrackTag = "BacktrackClassDef" InputTag = "InputClassDef" lookAheadTag = "LookAheadClassDef" markTag = "MarkClass" mark1Tag = "MarkMarkClass1" mark2Tag = "MarkMarkClass2" def __init__(self, writer, ttFont, table_tag): self.writer = writer self.table = ttFont[table_tag].table self.classesByNameList = collections.defaultdict(list) self.classesByLookup = {} self.classesByClassName = {} self.lookupIndex = -1 self.seenLookup = {} self.glyphDict = {} self.markClassesByDefList = collections.defaultdict(list) self.markClassesByLookup = collections.defaultdict(list) self.markClassesByClassName = {} self.curLookupIndex = -1 self.curSubTableIndex = -1 self.curLookupName = "" self.showExtension = ttFont.showExtensionFlag for name in ttFont.getGlyphOrder(): self.glyphDict[name] = 0 if table_tag == "GPOS": self.ExtensionIndex = 9 self.classHandlers = { (2, 2): classPairGPOS, (4, 1): markClassPOS, (5, 1): markLigClassPOS, (6, 1): markMarkClassPOS, (7, 2): classContext, (8, 2): classChainContext, (9, 1): classExt, } self.ruleHandlers = { 1: ruleSinglePos, 2: rulePairPos, 3: ruleCursivePos, 4: ruleMarkBasePos, 5: ruleMarkLigPos, 6: ruleMarkMarkPos, 7: ruleContextPOS, 8: ruleChainContextPOS, 9: ruleExt, } elif table_tag == "GSUB": self.ExtensionIndex = 7 self.classHandlers = { (5, 2): classContext, (6, 2): classChainContext, (7, 1): classExt, } self.ruleHandlers = { 1: ruleSingleSub, 2: ruleMultipleSub, 3: ruleAltSub, 4: ruleLigatureSub, 5: ruleContextSUB, 6: ruleChainContextSUB, 7: ruleExt, 8: ruleReverseChainSub, } else: raise KeyError("OTLConverter can only be called for GPOS and " "GSUB tables") def otlFeatureFormat(self): # get and write language systems lsList, featDictByLangSys, featDictByIndex = self.buildLangSys() self.writeLangSys(lsList) self.writer.newline() # get and write class defs. self.buildClasses() self.writeClasses() self.writeMarkClasses() # do feature defs self.doFeatures(featDictByLangSys) @staticmethod def addLangSysEntry(pfeatList, scriptTag, langTag, langSys, featDictByLangSys, featDictByIndex): for featIndex in langSys.FeatureIndex: try: featRecord = pfeatList[featIndex] except IndexError: log.error("FeatList does not contain index %s from current " "langsys (%s, %s).", featIndex, scriptTag, langTag) log.error("FeaturListLen %s, langsys FeatIndex %s.", len(pfeatList), langSys.FeatureIndex) continue featTag = featRecord.FeatureTag lang_sys = (scriptTag, langTag) try: featDictByIndex[featIndex].append(lang_sys) except KeyError: featDictByIndex[featIndex] = [lang_sys] langsysDict = featDictByLangSys.get(featTag, {}) try: langsysDict[lang_sys].append(featIndex) except KeyError: langsysDict[lang_sys] = [featIndex] featDictByLangSys[featTag] = langsysDict def buildLangSys(self): pfeatList = self.table.FeatureList.FeatureRecord featDictByLangSys = {} featDictByIndex = {} haveDFLT = False lsList = [] for scriptRecord in self.table.ScriptList.ScriptRecord: scriptTag = scriptRecord.ScriptTag if scriptTag in ("DFLT", "dflt"): haveDFLT = True if scriptRecord.Script.DefaultLangSys: langTag = "dflt" lsList.insert(0, ( scriptTag, langTag, scriptRecord.Script.DefaultLangSys.ReqFeatureIndex)) self.addLangSysEntry(pfeatList, scriptTag, langTag, scriptRecord.Script.DefaultLangSys, featDictByLangSys, featDictByIndex) for langSysRecord in scriptRecord.Script.LangSysRecord: langTag = langSysRecord.LangSysTag lsList.append((scriptTag, langTag, langSysRecord.LangSys.ReqFeatureIndex)) self.addLangSysEntry(pfeatList, scriptTag, langTag, langSysRecord.LangSys, featDictByLangSys, featDictByIndex) if not haveDFLT: # Synthesize a DFLT dflt entry. addedDFLT = False scriptCount = len(self.table.ScriptList.ScriptRecord) for langsysList in featDictByIndex.values(): if len(langsysList) == scriptCount: langsysList.insert(0, ("DFLT", "dflt", 0xFFFF)) addedDFLT = True if addedDFLT: lsList.insert(0, ("DFLT", "dflt", 0xFFFF)) return lsList, featDictByLangSys, featDictByIndex def writeLangSys(self, lsList): # lsList is alphabetic, because of font order, except that # I moved (DFLT, dflt) script to the top. for lang_sys in lsList: if lang_sys[2] != 0xFFFF: rfTxt = " Required Feature Index %s" % (lang_sys[2]) else: rfTxt = "" self.writer.write("languagesystem %s %s%s;" % ( lang_sys[0], lang_sys[1], rfTxt)) self.writer.newline() def buildClasses(self): for lookupIndex, lookup in enumerate(self.table.LookupList.Lookup): self.curLookupIndex = lookupIndex for subtableIndex, subtable in enumerate(lookup.SubTable): self.curSubTableIndex = subtableIndex handler = self.classHandlers.get( (lookup.LookupType, subtable.Format)) if handler: handler(subtable, self) for nameList in sorted(self.classesByNameList.keys()): classRecList = self.classesByNameList[nameList] lenList = len(nameList) if lenList == 0: className = "@empty" elif lenList == 1: className = "[%s]" % (nameList[0]) elif lenList == 2: className = "@%s_%s" % (nameList[0], nameList[1]) else: className = "@%s_%d_%s" % (nameList[0], len(nameList), nameList[-1]) i = 1 while (i < lenList) and className in self.classesByClassName: className = "@%s_%s_%d_%s" % (nameList[0], nameList[i], len(nameList), nameList[-1]) self.classesByClassName[className] = nameList for classRec in classRecList: key = (classRec.lookupIndex, classRec.subtableIndex, classRec.classIndex, classRec.side) self.classesByLookup[key] = className for defList in sorted(self.markClassesByDefList.keys()): classRecList = self.markClassesByDefList[defList] defNameList = [] for nameList, anchor in defList: defNameList.extend(list(nameList)) lenList = len(defNameList) if lenList == 0: className = "@empty_mark" elif lenList == 1: className = "%s_mark" % (defNameList[0]) elif lenList == 2: className = "@%s_%s_mark" % (defNameList[0], defNameList[1]) else: className = "@%s_%d_%s_mark" % ( defNameList[0], len(defNameList), defNameList[-1]) i = 1 while (i < lenList) and className in self.classesByClassName: className = "@%s_%s_%d_%s_mark" % ( defNameList[0], defNameList[i], len(defNameList), defNameList[-1]) self.markClassesByClassName[className] = defList for classRec in classRecList: key = (classRec.lookupIndex, classRec.subtableIndex, classRec.classIndex, classRec.side) self.markClassesByLookup[key] = className def writeClasses(self): classNames = list(self.classesByClassName.keys()) if classNames: self.writer.newline() self.writer.write( "# Class definitions *********************************") self.writer.newline() for className in sorted(classNames): if className[0] == "[": # we don't write out the single glyph class names, # as they are ued in -line as class lists. continue class_glyphs = " ".join(self.classesByClassName[className]) class_statement = "%s = [ %s ];" % (className, class_glyphs) class_lines = gtextWrapper.wrap(class_statement) for wrapped_line in class_lines: self.writer._writeraw(wrapped_line) self.writer.newline() self.writer.newline() def writeMarkClasses(self): classNames = list(self.markClassesByClassName.keys()) if classNames: self.writer.newline() self.writer.write( "# Mark Class definitions *********************************") self.writer.newline() for className in sorted(classNames): classDef = self.markClassesByClassName[className] for gnameList, anchor in classDef: self.writer._writeraw("mark [") class_lines = gtextWrapper.wrap(" ".join(gnameList)) num_lines = len(class_lines) for ln, wrapped_line in enumerate(class_lines): self.writer._writeraw(wrapped_line) if ln < num_lines - 1: self.writer.newline() self.writer._writeraw("] %s %s;" % (anchor, className)) self.writer.newline() self.writer.newline() def doFeatures(self, featDictByLangSys): for featTag in sorted(featDictByLangSys.keys()): self.writer.write("feature %s {" % featTag) self.writer.newline() self.writer.indent() langSysDict = featDictByLangSys[featTag] langSysTagList = sorted(langSysDict.keys()) dflt_langsys_key = None dfltFeatIndexList = None for key in DFLT_LANGSYS_KEYS: if key in langSysDict: dfltFeatIndexList = langSysDict[key] langSysTagList.remove(key) dflt_langsys_key = key break dfltLookupIndexDict = None if dfltFeatIndexList: dfltLookupIndexDict = self.writeDfltLangSysFeat( dflt_langsys_key, dfltFeatIndexList) if dflt_langsys_key: prevLangSysKey = dflt_langsys_key else: prevLangSysKey = DFLT_LANGSYS_KEYS[0] for langSysKey in langSysTagList: self.writeLangSysFeat(langSysKey, prevLangSysKey, langSysDict[langSysKey], dfltLookupIndexDict) prevLangSysKey = langSysKey self.writer.dedent() self.writer.write("} %s;" % featTag) self.writer.newline() self.writer.newline() def writeDfltLangSysFeat(self, langSysKey, featIndexList): # XXX similar to writeLangSysFeat() pfeatList = self.table.FeatureList.FeatureRecord pLookupList = self.table.LookupList.Lookup featRecord = None lookupIndexDict = {} # key: lookup index (int) # val: fontTools.ttLib.tables.otTables.Lookup (object) for featIndex in featIndexList: featRecord = pfeatList[featIndex] for lookupIndex in featRecord.Feature.LookupListIndex: lookupIndexDict[lookupIndex] = pLookupList[lookupIndex] excludeDFLTtxt = "" nameIndex = 0 for li in sorted(lookupIndexDict.keys()): self.curLookupIndex = li lookup = pLookupList[li] lookupFlagTxt = getLookupFlagTag(lookup.LookupFlag) useExtension = "" if self.showExtension and lookup.LookupType == self.ExtensionIndex: useExtension = " useExtension" if li in self.seenLookup: lookupName = self.seenLookup[li] self.writer.write("lookup %s%s;" % ( lookupName, excludeDFLTtxt)) self.writer.newline() else: lookupName = "%s_%s_%s_%s" % ( featRecord.FeatureTag, langSysKey[0], langSysKey[1], nameIndex) self.seenLookup[li] = lookupName self.writer.write("lookup %s%s {" % (lookupName, useExtension)) excludeDFLTtxt = "" # Only need to write it once. self.writer.newline() self.writer.indent() if lookupFlagTxt: self.writer.write("lookupflag %s;" % lookupFlagTxt) self.writer.newline() self.curLookupIndex = li self.writeLookup(lookup) self.writer.dedent() self.writer.write("} %s;" % lookupName) self.writer.newline() self.writer.newline() nameIndex += 1 return lookupIndexDict def writeLangSysFeat(self, langSysKey, prevLangSysKey, featIndexList, dfltLookupIndexDict): pfeatList = self.table.FeatureList.FeatureRecord pLookupList = self.table.LookupList.Lookup featRecord = None lookupIndexDict = {} # key: lookup index (int) # val: fontTools.ttLib.tables.otTables.Lookup (object) for featIndex in featIndexList: featRecord = pfeatList[featIndex] for lookupIndex in featRecord.Feature.LookupListIndex: lookupIndexDict[lookupIndex] = pLookupList[lookupIndex] # Remove all lookups shared with the DFLT/dflt script. # Note if there were any; if not, then we need to use the # exclude keyword with the lookup. haveAnyDflt = False excludeDFLT = False if dfltLookupIndexDict: for lookupIndex in sorted(lookupIndexDict.keys()): if lookupIndex in dfltLookupIndexDict: del lookupIndexDict[lookupIndex] haveAnyDflt = True if not haveAnyDflt: excludeDFLT = True liList = sorted(lookupIndexDict.keys()) excludeDFLTtxt = "" if excludeDFLT: excludeDFLTtxt = " excludeDFLT" # If all the lookups were shared with DFLt dflt, # no need to write anything. if liList: nameIndex = 0 if prevLangSysKey[0] != langSysKey[0]: self.writer.write("script %s;" % (langSysKey[0])) self.writer.newline() self.writer.write("language %s;" % (langSysKey[1])) self.writer.newline() elif prevLangSysKey[1] != langSysKey[1]: self.writer.write("language %s;" % (langSysKey[1])) self.writer.newline() for li in liList: self.curLookupIndex = li lookup = pLookupList[li] lookupFlagTxt = getLookupFlagTag(lookup.LookupFlag) useExtension = "" if self.showExtension and ( lookup.LookupType == self.ExtensionIndex): useExtension = " useExtension" if li in self.seenLookup: lookupName = self.seenLookup[li] self.writer.write("lookup %s%s;" % ( lookupName, excludeDFLTtxt)) excludeDFLTtxt = "" # Only need to write it once. self.writer.newline() else: lookupName = "%s_%s_%s_%s" % ( featRecord.FeatureTag, langSysKey[0].strip(), langSysKey[1].strip(), nameIndex) self.seenLookup[li] = lookupName self.writer.write("lookup %s%s {" % (lookupName, useExtension)) excludeDFLTtxt = "" # Only need to write it once. self.writer.newline() self.writer.indent() if lookupFlagTxt: self.writer.write("lookupflag %s;" % lookupFlagTxt) self.writer.newline() self.curLookupIndex = li self.writeLookup(lookup) self.writer.dedent() self.writer.write("} %s;" % lookupName) self.writer.newline() self.writer.newline() nameIndex += 1 def writeLookup(self, lookup): lookupType = lookup.LookupType handler = self.ruleHandlers[lookupType] for si, sub_table in enumerate(lookup.SubTable): self.curSubTableIndex = si rules = handler(sub_table, self) for rule in rules: self.writer._writeraw(rule) self.writer.newline() def dumpOTLAsFeatureFile(writer, ttFont, table_tag): otlConverter = OTLConverter(writer, ttFont, table_tag) otlConverter.otlFeatureFormat() class TTXNTTFont(TTFont): def __init__(self, file=None, res_name_or_index=None, sfntVersion="\000\001\000\000", flavor=None, checkChecksums=False, verbose=None, recalcBBoxes=True, allowVID=False, ignoreDecompileErrors=False, recalcTimestamp=True, fontNumber=-1, lazy=None, quiet=None, supressHints=False, showExtensionFlag=False): self.filePath = file self.supressHints = supressHints self.showExtensionFlag = showExtensionFlag TTFont. __init__(self, file, res_name_or_index=res_name_or_index, sfntVersion=sfntVersion, flavor=flavor, checkChecksums=checkChecksums, verbose=verbose, recalcBBoxes=recalcBBoxes, allowVID=allowVID, ignoreDecompileErrors=ignoreDecompileErrors, recalcTimestamp=recalcTimestamp, fontNumber=fontNumber, lazy=lazy, quiet=quiet) def _tableToXML(self, writer, tag, quiet=None, splitGlyphs=False): table = None if quiet is not None: from fontTools.misc.loggingTools import deprecateArgument deprecateArgument("quiet", "configure logging instead") if tag in self: table = self[tag] report = "Dumping '%s' table..." % tag else: report = "No '%s' table found." % tag log.info(report) if tag not in self: return xmlTag = tagToXML(tag) attrs = dict() if hasattr(table, "ERROR"): attrs['ERROR'] = "decompilation error" if table.__class__ == DefaultTable: attrs['raw'] = True writer.begintag(xmlTag, **attrs) writer.newline() if tag in ("glyf", "CFF "): dumpFont(writer, self.filePath, self.supressHints) elif tag in ("GSUB", "GPOS"): dumpOTLAsFeatureFile(writer, self, tag) else: table.toXML(writer, self) writer.endtag(xmlTag) writer.newline() writer.newline() def shellcmd(cmdList): # In all cases, assume that cmdList does NOT specify the output file. # I use this because tx -dump -6 can be very large. tempPath = get_temp_file_path() cmdList.append(tempPath) subprocess.check_call(cmdList) with open(tempPath, "r", encoding="utf-8") as fp: data = fp.read() return data def dumpFont(writer, fontPath, supressHints=False): dictTxt = shellcmd([TX_TOOL, "-dump", "-0", fontPath]) if curSystem == "Windows": dictTxt = re.sub(r"[\r\n]+", "\n", dictTxt) dictTxt = re.sub(r"##[^\r\n]*Filename[^\r\n]+", "", dictTxt, 1).strip() dictLines = dictTxt.splitlines() writer.begintag("FontTopDict") writer.newline() for line in dictLines: writer._writeraw(line) writer.newline() writer.endtag("FontTopDict") writer.newline() if supressHints: charData = shellcmd([TX_TOOL, "-dump", "-6", "-n", fontPath]) else: charData = shellcmd([TX_TOOL, "-dump", "-6", fontPath]) if curSystem == "Windows": charData = re.sub(r"[\r\n]+", "\n", charData) charList = re.findall(r"[^ ]glyph\[[^]]+\] {([^,]+),[^\r\n]+,([^}]+)", charData) if "cid.CIDFontName" in dictTxt: # fix glyph names to sort charList = [("cid%s" % (entry[0]).zfill(5), entry[1]) for entry in charList] charList = sorted([entry[0] + entry[1] for entry in charList]) charTxt = "\n".join(charList) writer.begintag("FontOutlines") writer.newline() for line in charTxt.splitlines(): writer._writeraw(line) writer.newline() writer.endtag("FontOutlines") writer.newline() @Timer(log, 'Done dumping TTX in %(time).3f seconds') def ttnDump(input_file, output, options, showExtensionFlag, supressHints=False, supressVersions=False, supressTTFDiffs=False): log.info('Dumping "%s" to "%s"...', input_file, output) if options.unicodedata: from fontTools.unicode import setUnicodeData setUnicodeData(options.unicodedata) ttf = TTXNTTFont(input_file, 0, allowVID=options.allowVID, ignoreDecompileErrors=options.ignoreDecompileErrors, fontNumber=options.fontNumber, supressHints=supressHints, showExtensionFlag=showExtensionFlag) kDoNotDumpTagList = ["GlyphOrder", "DSIG"] if options.onlyTables: onlyTables = sorted(options.onlyTables) else: onlyTables = sorted(ttf.keys()) if options.skipTables: for tag in options.skipTables: if tag in onlyTables: onlyTables.remove(tag) for tag in kDoNotDumpTagList: if tag in onlyTables: onlyTables.remove(tag) # Zero values that always differ. if 'head' in onlyTables: head = ttf["head"] temp = head.created head.created = 0 head.modified = 0 head.magicNumber = 0 head.checkSumAdjustment = 0 if supressVersions: head.fontRevision = 0 if 'hmtx' in onlyTables: hmtx = ttf["hmtx"] # hmtx must be decompiled *before* we zero # the hhea.numberOfHMetrics value temp = hmtx.metrics if supressTTFDiffs: try: del temp["CR"] except KeyError: pass try: del temp["NULL"] except KeyError: pass if 'hhea' in onlyTables: hhea = ttf["hhea"] temp = hhea.numberOfHMetrics hhea.numberOfHMetrics = 0 if 'vmtx' in onlyTables: vmtx = ttf["vmtx"] # vmtx must be decompiled *before* we zero # the vhea.numberOfHMetrics value temp = vmtx.metrics if supressTTFDiffs: try: del temp["CR"] except KeyError: pass try: del temp["NULL"] except KeyError: pass if 'vhea' in onlyTables: vhea = ttf["vhea"] temp = vhea.numberOfVMetrics vhea.numberOfVMetrics = 0 if supressVersions: if 'name' in onlyTables: name_table = ttf["name"] for namerecord in name_table.names: if namerecord.nameID == 3: if namerecord.isUnicode(): namerecord.string = "VERSION SUPPRESSED".encode( "utf-16be") else: namerecord.string = "VERSION SUPPRESSED" elif namerecord.nameID == 5: if namerecord.platformID == 3: namerecord.string = namerecord.string.split(';')[0] else: namerecord.string = "VERSION SUPPRESSED" if 'GDEF' in onlyTables: GDEF = ttf["GDEF"] gt = GDEF.table if gt.GlyphClassDef: gt.GlyphClassDef.Format = 0 if gt.MarkAttachClassDef: gt.MarkAttachClassDef.Format = 0 if gt.AttachList: if not gt.AttachList.Coverage.glyphs: gt.AttachList = None if gt.LigCaretList: if not gt.LigCaretList.Coverage.glyphs: gt.LigCaretList = None if 'cmap' in onlyTables: # remove mappings to notdef. cmapTable = ttf["cmap"] """ Force shared cmap tables to get separately decompiled. The _c_m_a_p.py logic will decompile a cmap from source data if an attempt is made to access a field which is not (yet) defined. Unicode (format 4) subtables are usually identical, and thus shared. When intially decompiled, the first gets fully decompiled, and then the second gets a reference to the 'cmap' dict of the first. When entries are removed from the cmap dict of the first subtable, that is the same as removing them from the cmap dict of the second. However, when later an attempt is made to reference the 'nGroups' field - which doesn't exist in format 4 - the second table gets fully decompiled, and its cmap dict is rebuilt from the original data. """ for cmapSubtable in cmapTable.tables: # if cmapSubtable.format != 4: # continue delList = [] for mapping in cmapSubtable.cmap.items(): if mapping[1] == ".notdef": delList.append(mapping) if supressTTFDiffs: if mapping[1] == "CR": delList.append(mapping) if mapping[1] == "NULL": delList.append(mapping) if delList: for charCode, glyphName in delList: try: del cmapSubtable.cmap[charCode] except KeyError: pass if (cmapSubtable.format in [12, 14]) and hasattr(cmapSubtable, "nGroups"): cmapSubtable.nGroups = 0 if hasattr(cmapSubtable, "length"): cmapSubtable.length = 0 if onlyTables: ttf.saveXML(output, tables=onlyTables, skipTables=options.skipTables, splitTables=options.splitTables, splitGlyphs=options.splitGlyphs, disassembleInstructions=options.disassembleInstructions, bitmapGlyphDataFormat=options.bitmapGlyphDataFormat) ttf.close() return ttf def main(args=None): from fontTools import configLogger if args is None: args = sys.argv[1:] if ("-h" in args) or ("-u" in args): print(__help__) return 0 if "-a" not in args: args.insert(0, "-a") # allow virtual GIDS. if "-nh" in args: args.remove("-nh") supressHints = True else: supressHints = False if "-se" in args: args.remove("-se") showExtensionFlag = True else: showExtensionFlag = False if "-nv" in args: args.remove("-nv") supressVersions = True else: supressVersions = False if "-supressTTFDiffs" in args: args.remove("-supressTTFDiffs") supressTTFDiffs = True else: supressTTFDiffs = False try: jobs, options = ttx.parseOptions(args) except getopt.GetoptError as e: print("ERROR:", e, file=sys.stderr) return 2 configLogger(level=options.logLevel) try: for action, input_file, output in jobs: if action != ttx.ttDump: log.error("ttxn can only dump font files.") return 1 ttnDump(input_file, output, options, showExtensionFlag, supressHints, supressVersions, supressTTFDiffs) except SystemExit: raise except TTLibError as e: log.error(e) return 1 if __name__ == "__main__": sys.exit(main())

894d4ccc61481c4da19fdaef449b9d798b8e7e5b

py

Python

venv/lib/python3.8/site-packages/hypothesis/internal/conjecture/junkdrawer.py

tausiftt5238/cs5204_election_guard

0ca41c95e3f0f1d0146803d3308f031c57de680c

venv/lib/python3.8/site-packages/hypothesis/internal/conjecture/junkdrawer.py

tausiftt5238/cs5204_election_guard

0ca41c95e3f0f1d0146803d3308f031c57de680c

venv/lib/python3.8/site-packages/hypothesis/internal/conjecture/junkdrawer.py

tausiftt5238/cs5204_election_guard

0ca41c95e3f0f1d0146803d3308f031c57de680c

# This file is part of Hypothesis, which may be found at # https://github.com/HypothesisWorks/hypothesis/ # # Most of this work is copyright (C) 2013-2020 David R. MacIver # ([email protected]), but it contains contributions by others. See # CONTRIBUTING.rst for a full list of people who may hold copyright, and # consult the git log if you need to determine who owns an individual # contribution. # # This Source Code Form is subject to the terms of the Mozilla Public License, # v. 2.0. If a copy of the MPL was not distributed with this file, You can # obtain one at https://mozilla.org/MPL/2.0/. # # END HEADER """A module for miscellaneous useful bits and bobs that don't obviously belong anywhere else. If you spot a better home for anything that lives here, please move it.""" import array import sys def array_or_list(code, contents): if code == "O": return list(contents) return array.array(code, contents) def replace_all(buffer, replacements): """Substitute multiple replacement values into a buffer. Replacements is a list of (start, end, value) triples. """ result = bytearray() prev = 0 offset = 0 for u, v, r in replacements: result.extend(buffer[prev:u]) result.extend(r) prev = v offset += len(r) - (v - u) result.extend(buffer[prev:]) assert len(result) == len(buffer) + offset return bytes(result) ARRAY_CODES = ["B", "H", "I", "L", "Q", "O"] NEXT_ARRAY_CODE = dict(zip(ARRAY_CODES, ARRAY_CODES[1:])) class IntList: """Class for storing a list of non-negative integers compactly. We store them as the smallest size integer array we can get away with. When we try to add an integer that is too large, we upgrade the array to the smallest word size needed to store the new value.""" __slots__ = ("__underlying",) def __init__(self, values=()): for code in ARRAY_CODES: try: self.__underlying = array_or_list(code, values) break except OverflowError: pass else: # pragma: no cover raise AssertionError("Could not create storage for %r" % (values,)) if isinstance(self.__underlying, list): for v in self.__underlying: if v < 0 or not isinstance(v, int): raise ValueError("Could not create IntList for %r" % (values,)) @classmethod def of_length(self, n): return IntList(array_or_list("B", [0]) * n) def count(self, n): return self.__underlying.count(n) def __repr__(self): return "IntList(%r)" % (list(self),) def __len__(self): return len(self.__underlying) def __getitem__(self, i): if isinstance(i, slice): return IntList(self.__underlying[i]) return self.__underlying[i] def __delitem__(self, i): del self.__underlying[i] def insert(self, i, v): self.__underlying.insert(i, v) def __iter__(self): return iter(self.__underlying) def __eq__(self, other): if self is other: return True if not isinstance(other, IntList): return NotImplemented return self.__underlying == other.__underlying def __ne__(self, other): if self is other: return False if not isinstance(other, IntList): return NotImplemented return self.__underlying != other.__underlying def append(self, n): i = len(self) self.__underlying.append(0) self[i] = n def __setitem__(self, i, n): while True: try: self.__underlying[i] = n return except OverflowError: assert n > 0 self.__upgrade() def extend(self, ls): for n in ls: self.append(n) def __upgrade(self): code = NEXT_ARRAY_CODE[self.__underlying.typecode] self.__underlying = array_or_list(code, self.__underlying) def binary_search(lo, hi, f): """Binary searches in [lo , hi) to find n such that f(n) == f(lo) but f(n + 1) != f(lo). It is implicitly assumed and will not be checked that f(hi) != f(lo). """ reference = f(lo) while lo + 1 < hi: mid = (lo + hi) // 2 if f(mid) == reference: lo = mid else: hi = mid return lo def uniform(random, n): """Returns a bytestring of length n, distributed uniformly at random.""" return random.getrandbits(n * 8).to_bytes(n, "big") class LazySequenceCopy: """A "copy" of a sequence that works by inserting a mask in front of the underlying sequence, so that you can mutate it without changing the underlying sequence. Effectively behaves as if you could do list(x) in O(1) time. The full list API is not supported yet but there's no reason in principle it couldn't be.""" def __init__(self, values): self.__values = values self.__len = len(values) self.__mask = None def __len__(self): return self.__len def pop(self): if len(self) == 0: raise IndexError("Cannot pop from empty list") result = self[-1] self.__len -= 1 if self.__mask is not None: self.__mask.pop(self.__len, None) return result def __getitem__(self, i): i = self.__check_index(i) default = self.__values[i] if self.__mask is None: return default else: return self.__mask.get(i, default) def __setitem__(self, i, v): i = self.__check_index(i) if self.__mask is None: self.__mask = {} self.__mask[i] = v def __check_index(self, i): n = len(self) if i < -n or i >= n: raise IndexError("Index %d out of range [0, %d)" % (i, n)) if i < 0: i += n assert 0 <= i < n return i def clamp(lower, value, upper): """Given a value and lower/upper bounds, 'clamp' the value so that it satisfies lower <= value <= upper.""" return max(lower, min(value, upper)) def swap(ls, i, j): """Swap the elements ls[i], ls[j].""" if i == j: return ls[i], ls[j] = ls[j], ls[i] def stack_depth_of_caller(): """Get stack size for caller's frame. From https://stackoverflow.com/a/47956089/9297601 , this is a simple but much faster alternative to `len(inspect.stack(0))`. We use it with get/set recursionlimit to make stack overflows non-flaky; see https://github.com/HypothesisWorks/hypothesis/issues/2494 for details. """ frame = sys._getframe(2) size = 1 while frame: frame = frame.f_back size += 1 return size def find_integer(f): """Finds a (hopefully large) integer such that f(n) is True and f(n + 1) is False. f(0) is assumed to be True and will not be checked. """ # We first do a linear scan over the small numbers and only start to do # anything intelligent if f(4) is true. This is because it's very hard to # win big when the result is small. If the result is 0 and we try 2 first # then we've done twice as much work as we needed to! for i in range(1, 5): if not f(i): return i - 1 # We now know that f(4) is true. We want to find some number for which # f(n) is *not* true. # lo is the largest number for which we know that f(lo) is true. lo = 4 # Exponential probe upwards until we find some value hi such that f(hi) # is not true. Subsequently we maintain the invariant that hi is the # smallest number for which we know that f(hi) is not true. hi = 5 while f(hi): lo = hi hi *= 2 # Now binary search until lo + 1 = hi. At that point we have f(lo) and not # f(lo + 1), as desired.. while lo + 1 < hi: mid = (lo + hi) // 2 if f(mid): lo = mid else: hi = mid return lo def pop_random(random, seq): """Remove and return a random element of seq. This runs in O(1) but leaves the sequence in an arbitrary order.""" i = random.randrange(0, len(seq)) swap(seq, i, len(seq) - 1) return seq.pop() class NotFound(Exception): pass class SelfOrganisingList: """A self-organising list with the move-to-front heuristic. A self-organising list is a collection which we want to retrieve items that satisfy some predicate from. There is no faster way to do this than a linear scan (as the predicates may be arbitrary), but the performance of a linear scan can vary dramatically - if we happen to find a good item on the first try it's O(1) after all. The idea of a self-organising list is to reorder the list to try to get lucky this way as often as possible. There are various heuristics we could use for this, and it's not clear which are best. We use the simplest, which is that every time we find an item we move it to the "front" (actually the back in our implementation because we iterate in reverse) of the list. """ def __init__(self, values=()): self.__values = list(values) def __repr__(self): return "SelfOrganisingList(%r)" % (self.__values,) def add(self, value): """Add a value to this list.""" self.__values.append(value) def find(self, condition): """Returns some value in this list such that ``condition(value)`` is True. If no such value exists raises ``NotFound``.""" for i in range(len(self.__values) - 1, -1, -1): value = self.__values[i] if condition(value): del self.__values[i] self.__values.append(value) return value raise NotFound("No values satisfying condition")

aa3dc28b1e9503a31eb527729e6ed742e2759929

py

Python

tests/test_pypkgs_dlb.py

dusty736/pypkgs_dlb

23a4f762f53d9c43a2e05c5565ea9f83126c707a

tests/test_pypkgs_dlb.py

dusty736/pypkgs_dlb

23a4f762f53d9c43a2e05c5565ea9f83126c707a

tests/test_pypkgs_dlb.py

dusty736/pypkgs_dlb

23a4f762f53d9c43a2e05c5565ea9f83126c707a

from pypkgs_dlb import __version__ from pypkgs_dlb import pypkgs_dlb import pandas as pd def test_version(): assert __version__ == "0.1.0" def test_catbind(): a = pd.Categorical(["character", "hits", "your", "eyeballs"]) b = pd.Categorical(["but", "integer", "where it", "counts"]) assert ((pypkgs_dlb.catbind(a, b)).codes == [1, 4, 7, 3, 0, 5, 6, 2]).all() assert ( (pypkgs_dlb.catbind(a, b)).categories == [ "but", "character", "counts", "eyeballs", "hits", "integer", "where it", "your", ] ).all()

b0c25d9663e1ddad0da358df81146bea73aab857

py

Python

src/streamlink/plugins/ustvnow.py

gromit1811/streamlink

ad95081e894316e154800cecf1c7b5e7062535f3

src/streamlink/plugins/ustvnow.py

gromit1811/streamlink

ad95081e894316e154800cecf1c7b5e7062535f3

src/streamlink/plugins/ustvnow.py

gromit1811/streamlink

ad95081e894316e154800cecf1c7b5e7062535f3

import base64 import json import logging import re from urllib.parse import urljoin, urlparse from uuid import uuid4 from Crypto.Cipher import AES from Crypto.Hash import SHA256 from Crypto.Util.Padding import pad, unpad from streamlink import PluginError from streamlink.plugin import Plugin, PluginArguments, PluginArgument from streamlink.stream import HLSStream log = logging.getLogger(__name__) class USTVNow(Plugin): _url_re = re.compile(r"https?://(?:www\.)?ustvnow\.com/live/(?P<scode>\w+)/-(?P<id>\d+)") _main_js_re = re.compile(r"""src=['"](main\..*\.js)['"]""") _enc_key_re = re.compile(r'(?P<key>AES_(?:Key|IV))\s*:\s*"(?P<value>[^"]+)"') TENANT_CODE = "ustvnow" _api_url = "https://teleupapi.revlet.net/service/api/v1/" _token_url = _api_url + "get/token" _signin_url = "https://www.ustvnow.com/signin" arguments = PluginArguments( PluginArgument( "username", metavar="USERNAME", required=True, help="Your USTV Now account username" ), PluginArgument( "password", sensitive=True, metavar="PASSWORD", required=True, help="Your USTV Now account password", prompt="Enter USTV Now account password" ) ) def __init__(self, url): super(USTVNow, self).__init__(url) self._encryption_config = {} self._token = None @classmethod def can_handle_url(cls, url): return cls._url_re.match(url) is not None @classmethod def encrypt_data(cls, data, key, iv): rkey = "".join(reversed(key)).encode('utf8') riv = "".join(reversed(iv)).encode('utf8') fkey = SHA256.new(rkey).hexdigest()[:32].encode("utf8") cipher = AES.new(fkey, AES.MODE_CBC, riv) encrypted = cipher.encrypt(pad(data, 16, 'pkcs7')) return base64.b64encode(encrypted) @classmethod def decrypt_data(cls, data, key, iv): rkey = "".join(reversed(key)).encode('utf8') riv = "".join(reversed(iv)).encode('utf8') fkey = SHA256.new(rkey).hexdigest()[:32].encode("utf8") cipher = AES.new(fkey, AES.MODE_CBC, riv) decrypted = cipher.decrypt(base64.b64decode(data)) if decrypted: return unpad(decrypted, 16, 'pkcs7') else: return decrypted def _get_encryption_config(self, url): # find the path to the main.js # load the main.js and extract the config if not self._encryption_config: res = self.session.http.get(url) m = self._main_js_re.search(res.text) main_js_path = m and m.group(1) if main_js_path: res = self.session.http.get(urljoin(url, main_js_path)) self._encryption_config = dict(self._enc_key_re.findall(res.text)) return self._encryption_config.get("AES_Key"), self._encryption_config.get("AES_IV") @property def box_id(self): if not self.cache.get("box_id"): self.cache.set("box_id", str(uuid4())) return self.cache.get("box_id") def get_token(self): """ Get the token for USTVNow :return: a valid token """ if not self._token: log.debug("Getting new session token") res = self.session.http.get(self._token_url, params={ "tenant_code": self.TENANT_CODE, "box_id": self.box_id, "product": self.TENANT_CODE, "device_id": 5, "display_lang_code": "ENG", "device_sub_type": "", "timezone": "UTC" }) data = res.json() if data['status']: self._token = data['response']['sessionId'] log.debug("New token: {}".format(self._token)) else: log.error("Token acquisition failed: {details} ({detail})".format(**data['error'])) raise PluginError("could not obtain token") return self._token def api_request(self, path, data, metadata=None): key, iv = self._get_encryption_config(self._signin_url) post_data = { "data": self.encrypt_data(json.dumps(data).encode('utf8'), key, iv).decode("utf8"), "metadata": self.encrypt_data(json.dumps(metadata).encode('utf8'), key, iv).decode("utf8") } headers = {"box-id": self.box_id, "session-id": self.get_token(), "tenant-code": self.TENANT_CODE, "content-type": "application/json"} res = self.session.http.post(self._api_url + path, data=json.dumps(post_data), headers=headers).json() data = dict((k, v and json.loads(self.decrypt_data(v, key, iv)))for k, v in res.items()) return data def login(self, username, password): log.debug("Trying to login...") resp = self.api_request( "send", { "login_id": username, "login_key": password, "login_mode": "1", "manufacturer": "123" }, {"request": "signin"} ) return resp['data']['status'] def _get_streams(self): """ Finds the streams from ustvnow.com. """ if self.login(self.get_option("username"), self.get_option("password")): path = urlparse(self.url).path.strip("/") resp = self.api_request("send", {"path": path}, {"request": "page/stream"}) if resp['data']['status']: for stream in resp['data']['response']['streams']: if stream['keys']['licenseKey']: log.warning("Stream possibly protected by DRM") yield from HLSStream.parse_variant_playlist(self.session, stream['url']).items() else: log.error("Could not find any streams: {code}: {message}".format(**resp['data']['error'])) else: log.error("Failed to login, check username and password") __plugin__ = USTVNow

c1252619abd11d0cd04fc397531e68836dd3b73d

py

Python

launcher/mac_tray.py

TDUncle/XX-Net

24b2af60dc0abc1c26211813064bb14c1e22bac8

2016-03-28T03:27:59.000Z

2016-03-28T03:27:59.000Z

launcher/mac_tray.py

TDUncle/XX-Net

24b2af60dc0abc1c26211813064bb14c1e22bac8

launcher/mac_tray.py

TDUncle/XX-Net

24b2af60dc0abc1c26211813064bb14c1e22bac8

#!/usr/bin/env python # coding:utf-8 import os import sys import config current_path = os.path.dirname(os.path.abspath(__file__)) helper_path = os.path.join(current_path, os.pardir, 'data', 'launcher', 'helper') if __name__ == "__main__": python_path = os.path.abspath( os.path.join(current_path, os.pardir, 'python27', '1.0')) noarch_lib = os.path.abspath( os.path.join(python_path, 'lib', 'noarch')) sys.path.append(noarch_lib) osx_lib = os.path.join(python_path, 'lib', 'darwin') sys.path.append(osx_lib) extra_lib = "/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/PyObjC" sys.path.append(extra_lib) import config import module_init import subprocess import webbrowser from AppKit import * from SystemConfiguration import * from instances import xlog from PyObjCTools import AppHelper class MacTrayObject(NSObject): def __init__(self): pass def applicationDidFinishLaunching_(self, notification): setupHelper() self.setupUI() self.registerObserver() def setupUI(self): self.statusbar = NSStatusBar.systemStatusBar() self.statusitem = self.statusbar.statusItemWithLength_(NSSquareStatusItemLength) #NSSquareStatusItemLength #NSVariableStatusItemLength # Set initial image icon icon_path = os.path.join(current_path, "web_ui", "favicon-mac.ico") image = NSImage.alloc().initByReferencingFile_(icon_path) image.setScalesWhenResized_(True) image.setSize_((20, 20)) self.statusitem.setImage_(image) # Let it highlight upon clicking self.statusitem.setHighlightMode_(1) self.statusitem.setToolTip_("XX-Net") # Get current selected mode proxyState = getProxyState(currentService) # Build a very simple menu self.menu = NSMenu.alloc().initWithTitle_('XX-Net') menuitem = NSMenuItem.alloc().initWithTitle_action_keyEquivalent_('Config', 'config:', '') self.menu.addItem_(menuitem) menuitem = NSMenuItem.alloc().initWithTitle_action_keyEquivalent_(getCurrentServiceMenuItemTitle(), None, '') self.menu.addItem_(menuitem) self.currentServiceMenuItem = menuitem menuitem = NSMenuItem.alloc().initWithTitle_action_keyEquivalent_('Enable Auto GAEProxy', 'enableAutoProxy:', '') if proxyState == 'pac': menuitem.setState_(NSOnState) self.menu.addItem_(menuitem) self.autoGaeProxyMenuItem = menuitem menuitem = NSMenuItem.alloc().initWithTitle_action_keyEquivalent_('Enable Global GAEProxy', 'enableGlobalProxy:', '') if proxyState == 'gae': menuitem.setState_(NSOnState) self.menu.addItem_(menuitem) self.globalGaeProxyMenuItem = menuitem menuitem = NSMenuItem.alloc().initWithTitle_action_keyEquivalent_('Disable GAEProxy', 'disableProxy:', '') if proxyState == 'disable': menuitem.setState_(NSOnState) self.menu.addItem_(menuitem) self.disableGaeProxyMenuItem = menuitem # Reset Menu Item menuitem = NSMenuItem.alloc().initWithTitle_action_keyEquivalent_('Reload GAEProxy', 'resetGoagent:', '') self.menu.addItem_(menuitem) # Default event menuitem = NSMenuItem.alloc().initWithTitle_action_keyEquivalent_('Quit', 'windowWillClose:', '') self.menu.addItem_(menuitem) # Bind it to the status item self.statusitem.setMenu_(self.menu) # Hide dock icon NSApp.setActivationPolicy_(NSApplicationActivationPolicyProhibited) def updateStatusBarMenu(self): self.currentServiceMenuItem.setTitle_(getCurrentServiceMenuItemTitle()) # Remove Tick before All Menu Items self.autoGaeProxyMenuItem.setState_(NSOffState) self.globalGaeProxyMenuItem.setState_(NSOffState) self.disableGaeProxyMenuItem.setState_(NSOffState) # Get current selected mode proxyState = getProxyState(currentService) # Update Tick before Menu Item if proxyState == 'pac': self.autoGaeProxyMenuItem.setState_(NSOnState) elif proxyState == 'gae': self.globalGaeProxyMenuItem.setState_(NSOnState) elif proxyState == 'disable': self.disableGaeProxyMenuItem.setState_(NSOnState) # Trigger autovalidation self.menu.update() def validateMenuItem_(self, menuItem): return currentService or (menuItem != self.autoGaeProxyMenuItem and menuItem != self.globalGaeProxyMenuItem and menuItem != self.disableGaeProxyMenuItem) def presentAlert_withTitle_(self, msg, title): self.performSelectorOnMainThread_withObject_waitUntilDone_('presentAlertWithInfo:', [title, msg], True) return self.alertReturn def presentAlertWithInfo_(self, info): alert = NSAlert.alloc().init() alert.setMessageText_(info[0]) alert.setInformativeText_(info[1]) alert.addButtonWithTitle_("OK") alert.addButtonWithTitle_("Cancel") self.alertReturn = alert.runModal() == NSAlertFirstButtonReturn def registerObserver(self): nc = NSWorkspace.sharedWorkspace().notificationCenter() nc.addObserver_selector_name_object_(self, 'windowWillClose:', NSWorkspaceWillPowerOffNotification, None) def windowWillClose_(self, notification): executeResult = subprocess.check_output(['networksetup', '-listallnetworkservices']) services = executeResult.split('\n') services = filter(lambda service : service and service.find('*') == -1 and getProxyState(service) != 'disable', services) # Remove disabled services and empty lines if len(services) > 0: try: map(helperDisableAutoProxy, services) map(helperDisableGlobalProxy, services) except: disableAutoProxyCommand = ';'.join(map(getDisableAutoProxyCommand, services)) disableGlobalProxyCommand = ';'.join(map(getDisableGlobalProxyCommand, services)) rootCommand = """osascript -e 'do shell script "%s;%s" with administrator privileges' """ % (disableAutoProxyCommand, disableGlobalProxyCommand) executeCommand = rootCommand.encode('utf-8') xlog.info("try disable proxy:%s", executeCommand) os.system(executeCommand) module_init.stop_all() os._exit(0) NSApp.terminate_(self) def config_(self, notification): host_port = config.get(["modules", "launcher", "control_port"], 8085) webbrowser.open_new("http://127.0.0.1:%s/" % host_port) def resetGoagent_(self, _): module_init.stop("gae_proxy") module_init.start("gae_proxy") def enableAutoProxy_(self, _): try: helperDisableGlobalProxy(currentService) helperEnableAutoProxy(currentService) except: disableGlobalProxyCommand = getDisableGlobalProxyCommand(currentService) enableAutoProxyCommand = getEnableAutoProxyCommand(currentService) rootCommand = """osascript -e 'do shell script "%s;%s" with administrator privileges' """ % (disableGlobalProxyCommand, enableAutoProxyCommand) executeCommand = rootCommand.encode('utf-8') xlog.info("try enable auto proxy:%s", executeCommand) os.system(executeCommand) self.updateStatusBarMenu() def enableGlobalProxy_(self, _): try: helperDisableAutoProxy(currentService) helperEnableGlobalProxy(currentService) except: disableAutoProxyCommand = getDisableAutoProxyCommand(currentService) enableGlobalProxyCommand = getEnableGlobalProxyCommand(currentService) rootCommand = """osascript -e 'do shell script "%s;%s" with administrator privileges' """ % (disableAutoProxyCommand, enableGlobalProxyCommand) executeCommand = rootCommand.encode('utf-8') xlog.info("try enable global proxy:%s", executeCommand) os.system(executeCommand) self.updateStatusBarMenu() def disableProxy_(self, _): try: helperDisableAutoProxy(currentService) helperDisableGlobalProxy(currentService) except: disableAutoProxyCommand = getDisableAutoProxyCommand(currentService) disableGlobalProxyCommand = getDisableGlobalProxyCommand(currentService) rootCommand = """osascript -e 'do shell script "%s;%s" with administrator privileges' """ % (disableAutoProxyCommand, disableGlobalProxyCommand) executeCommand = rootCommand.encode('utf-8') xlog.info("try disable proxy:%s", executeCommand) os.system(executeCommand) self.updateStatusBarMenu() def setupHelper(): try: with open(os.devnull) as devnull: subprocess.check_call(helper_path, stderr=devnull) except: cpCommand = "cp \\\"%s\\\" \\\"%s\\\"" % (os.path.join(current_path, 'mac_helper'), helper_path) chmodCommand = "chmod 4777 \\\"%s\\\"" % helper_path chownCommand = "chown root \\\"%s\\\"" % helper_path rootCommand = """osascript -e 'do shell script "%s;%s;%s" with administrator privileges' """ % (cpCommand, chmodCommand, chownCommand) executeCommand = rootCommand.encode('utf-8') xlog.info("try setup helper:%s", executeCommand) os.system(executeCommand) def getCurrentServiceMenuItemTitle(): if currentService: return 'Connection: %s' % currentService else: return 'Connection: None' def getProxyState(service): if not service: return # Check if auto proxy is enabled executeResult = subprocess.check_output(['networksetup', '-getautoproxyurl', service]) if ( executeResult.find('http://127.0.0.1:8086/proxy.pac\nEnabled: Yes') != -1 ): return "pac" # Check if global proxy is enabled executeResult = subprocess.check_output(['networksetup', '-getwebproxy', service]) if ( executeResult.find('Enabled: Yes\nServer: 127.0.0.1\nPort: 8087') != -1 ): return "gae" return "disable" # Generate commands for Apple Script def getEnableAutoProxyCommand(service): return "networksetup -setautoproxyurl \\\"%s\\\" \\\"http://127.0.0.1:8086/proxy.pac\\\"" % service def getDisableAutoProxyCommand(service): return "networksetup -setautoproxystate \\\"%s\\\" off" % service def getEnableGlobalProxyCommand(service): enableHttpProxyCommand = "networksetup -setwebproxy \\\"%s\\\" 127.0.0.1 8087" % service enableHttpsProxyCommand = "networksetup -setsecurewebproxy \\\"%s\\\" 127.0.0.1 8087" % service return "%s;%s" % (enableHttpProxyCommand, enableHttpsProxyCommand) def getDisableGlobalProxyCommand(service): disableHttpProxyCommand = "networksetup -setwebproxystate \\\"%s\\\" off" % service disableHttpsProxyCommand = "networksetup -setsecurewebproxystate \\\"%s\\\" off" % service return "%s;%s" % (disableHttpProxyCommand, disableHttpsProxyCommand) # Call helper def helperEnableAutoProxy(service): subprocess.check_call([helper_path, 'enableauto', service, 'http://127.0.0.1:8086/proxy.pac']) def helperDisableAutoProxy(service): subprocess.check_call([helper_path, 'disableauto', service]) def helperEnableGlobalProxy(service): subprocess.check_call([helper_path, 'enablehttp', service, '127.0.0.1', '8087']) subprocess.check_call([helper_path, 'enablehttps', service, '127.0.0.1', '8087']) def helperDisableGlobalProxy(service): subprocess.check_call([helper_path, 'disablehttp', service]) subprocess.check_call([helper_path, 'disablehttps', service]) sys_tray = MacTrayObject.alloc().init() currentService = None def fetchCurrentService(protocol): global currentService status = SCDynamicStoreCopyValue(None, "State:/Network/Global/" + protocol) if not status: currentService = None return serviceID = status['PrimaryService'] service = SCDynamicStoreCopyValue(None, "Setup:/Network/Service/" + serviceID) if not service: currentService = None return currentService = service['UserDefinedName'] @objc.callbackFor(CFNotificationCenterAddObserver) def networkChanged(center, observer, name, object, userInfo): fetchCurrentService('IPv4') sys_tray.updateStatusBarMenu() # Note: the following code can't run in class def serve_forever(): app = NSApplication.sharedApplication() app.setDelegate_(sys_tray) # Listen for network change nc = CFNotificationCenterGetDarwinNotifyCenter() CFNotificationCenterAddObserver(nc, None, networkChanged, "com.apple.system.config.network_change", None, CFNotificationSuspensionBehaviorDeliverImmediately) fetchCurrentService('IPv4') AppHelper.runEventLoop() def main(): serve_forever() if __name__ == '__main__': main()

8aaeeea38f1574567acad214e22060048d2ed112

py

Python

troveclient/openstack/common/apiclient/auth.py

cp16net/python-troveclient

502f7113a832ae8f0ffcf44bf7cc8ea1fbc4877b

troveclient/openstack/common/apiclient/auth.py

cp16net/python-troveclient

502f7113a832ae8f0ffcf44bf7cc8ea1fbc4877b

troveclient/openstack/common/apiclient/auth.py

cp16net/python-troveclient

502f7113a832ae8f0ffcf44bf7cc8ea1fbc4877b

# vim: tabstop=4 shiftwidth=4 softtabstop=4 # Copyright 2013 OpenStack Foundation # Copyright 2013 Spanish National Research Council. # 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. # E0202: An attribute inherited from %s hide this method # pylint: disable=E0202 import abc import argparse import logging import os from stevedore import extension from troveclient.openstack.common.apiclient import exceptions logger = logging.getLogger(__name__) _discovered_plugins = {} def discover_auth_systems(): """Discover the available auth-systems. This won't take into account the old style auth-systems. """ global _discovered_plugins _discovered_plugins = {} def add_plugin(ext): _discovered_plugins[ext.name] = ext.plugin ep_namespace = "troveclient.openstack.common.apiclient.auth" mgr = extension.ExtensionManager(ep_namespace) mgr.map(add_plugin) def load_auth_system_opts(parser): """Load options needed by the available auth-systems into a parser. This function will try to populate the parser with options from the available plugins. """ group = parser.add_argument_group("Common auth options") BaseAuthPlugin.add_common_opts(group) for name, auth_plugin in _discovered_plugins.iteritems(): group = parser.add_argument_group( "Auth-system '%s' options" % name, conflict_handler="resolve") auth_plugin.add_opts(group) def load_plugin(auth_system): try: plugin_class = _discovered_plugins[auth_system] except KeyError: raise exceptions.AuthSystemNotFound(auth_system) return plugin_class(auth_system=auth_system) def load_plugin_from_args(args): """Load requred plugin and populate it with options. Try to guess auth system if it is not specified. Systems are tried in alphabetical order. :type args: argparse.Namespace :raises: AuthorizationFailure """ auth_system = args.os_auth_system if auth_system: plugin = load_plugin(auth_system) plugin.parse_opts(args) plugin.sufficient_options() return plugin for plugin_auth_system in sorted(_discovered_plugins.iterkeys()): plugin_class = _discovered_plugins[plugin_auth_system] plugin = plugin_class() plugin.parse_opts(args) try: plugin.sufficient_options() except exceptions.AuthPluginOptionsMissing: continue return plugin raise exceptions.AuthPluginOptionsMissing(["auth_system"]) class BaseAuthPlugin(object): """Base class for authentication plugins. An authentication plugin needs to override at least the authenticate method to be a valid plugin. """ __metaclass__ = abc.ABCMeta auth_system = None opt_names = [] common_opt_names = [ "auth_system", "username", "password", "tenant_name", "token", "auth_url", ] def __init__(self, auth_system=None, **kwargs): self.auth_system = auth_system or self.auth_system self.opts = dict((name, kwargs.get(name)) for name in self.opt_names) @staticmethod def _parser_add_opt(parser, opt): """Add an option to parser in two variants. :param opt: option name (with underscores) """ dashed_opt = opt.replace("_", "-") env_var = "OS_%s" % opt.upper() arg_default = os.environ.get(env_var, "") arg_help = "Defaults to env[%s]." % env_var parser.add_argument( "--os-%s" % dashed_opt, metavar="<%s>" % dashed_opt, default=arg_default, help=arg_help) parser.add_argument( "--os_%s" % opt, metavar="<%s>" % dashed_opt, help=argparse.SUPPRESS) @classmethod def add_opts(cls, parser): """Populate the parser with the options for this plugin. """ for opt in cls.opt_names: # use `BaseAuthPlugin.common_opt_names` since it is never # changed in child classes if opt not in BaseAuthPlugin.common_opt_names: cls._parser_add_opt(parser, opt) @classmethod def add_common_opts(cls, parser): """Add options that are common for several plugins. """ for opt in cls.common_opt_names: cls._parser_add_opt(parser, opt) @staticmethod def get_opt(opt_name, args): """Return option name and value. :param opt_name: name of the option, e.g., "username" :param args: parsed arguments """ return (opt_name, getattr(args, "os_%s" % opt_name, None)) def parse_opts(self, args): """Parse the actual auth-system options if any. This method is expected to populate the attribute `self.opts` with a dict containing the options and values needed to make authentication. """ self.opts.update(dict(self.get_opt(opt_name, args) for opt_name in self.opt_names)) def authenticate(self, http_client): """Authenticate using plugin defined method. The method usually analyses `self.opts` and performs a request to authentication server. :param http_client: client object that needs authentication :type http_client: HTTPClient :raises: AuthorizationFailure """ self.sufficient_options() self._do_authenticate(http_client) @abc.abstractmethod def _do_authenticate(self, http_client): """Protected method for authentication. """ def sufficient_options(self): """Check if all required options are present. :raises: AuthPluginOptionsMissing """ missing = [opt for opt in self.opt_names if not self.opts.get(opt)] if missing: raise exceptions.AuthPluginOptionsMissing(missing) @abc.abstractmethod def token_and_endpoint(self, endpoint_type, service_type): """Return token and endpoint. :param service_type: Service type of the endpoint :type service_type: string :param endpoint_type: Type of endpoint. Possible values: public or publicURL, internal or internalURL, admin or adminURL :type endpoint_type: string :returns: tuple of token and endpoint strings :raises: EndpointException """

a33bb7124233e7163ef7d2e540d8d3220f8247c9

py

Python

config/celery_app.py

Swianka/router-map

fc338624633f001cffa29021e3b696f89b7c501f

2022-02-10T10:20:21.000Z

2022-02-10T10:20:36.000Z

config/celery_app.py

Swianka/router-map

fc338624633f001cffa29021e3b696f89b7c501f

2020-05-19T13:41:10.000Z

2021-09-27T10:15:16.000Z

config/celery_app.py

Swianka/router-map

fc338624633f001cffa29021e3b696f89b7c501f

2019-10-02T10:06:44.000Z

2019-10-03T08:02:07.000Z

import os from celery import Celery # set the default Django settings module for the 'celery' program. os.environ.setdefault("DJANGO_SETTINGS_MODULE", "config.settings.local") app = Celery("router-map") # Using a string here means the worker doesn't have to serialize # the configuration object to child processes. # - namespace='CELERY' means all celery-related configuration keys # should have a `CELERY_` prefix. app.config_from_object("django.conf:settings", namespace="CELERY") # Load task modules from all registered Django app configs. app.autodiscover_tasks()

a0ee8704a65df4af3fec9d3ad0698de0de7009f5

py

Python

code/api/health.py

CiscoSecurity/tr-05-serverless-rsa-netwitness

f9d2fe554efceede3c06bcee40062405b1f971d5

code/api/health.py

CiscoSecurity/tr-05-serverless-rsa-netwitness

f9d2fe554efceede3c06bcee40062405b1f971d5

code/api/health.py

CiscoSecurity/tr-05-serverless-rsa-netwitness

f9d2fe554efceede3c06bcee40062405b1f971d5

from flask import Blueprint from api.utils import jsonify_data, get_node_info, get_credentials health_api = Blueprint('health', __name__) @health_api.route('/health', methods=['POST']) def health(): credentials = get_credentials() _ = get_node_info(credentials) return jsonify_data({'status': 'ok'})

d0ad769075ff87984bc6a6b4117cc8a136307219

py

Python

setup.py

cjwatson/python-openid

557dc2eac99b29feda2c7f207f7ad6cbe90dde09

setup.py

cjwatson/python-openid

557dc2eac99b29feda2c7f207f7ad6cbe90dde09

setup.py

cjwatson/python-openid

557dc2eac99b29feda2c7f207f7ad6cbe90dde09

# -*- coding: utf-8 -*- import os import sys from setuptools import setup if 'sdist' in sys.argv: os.system('./admin/makedoc') # Import version from openid library itself VERSION = __import__('openid').__version__ INSTALL_REQUIRES = [ 'six', 'cryptography', 'lxml;platform_python_implementation=="CPython"', 'lxml <4.0;platform_python_implementation=="PyPy"', ] EXTRAS_REQUIRE = { 'quality': ('flake8', 'isort'), 'tests': ('mock', 'testfixtures', 'responses', 'coverage'), # Optional dependencies for fetchers 'httplib2': ('httplib2', ), 'pycurl': ('pycurl', ), 'requests': ('requests', ), # Dependencies for Django example 'djopenid': ('django<1.11.99', ), } LONG_DESCRIPTION = open('README.md').read() + '\n\n' + open('Changelog.md').read() CLASSIFIERS = [ 'Development Status :: 5 - Production/Stable', 'Environment :: Web Environment', 'Intended Audience :: Developers', 'License :: OSI Approved :: Apache Software License', 'Operating System :: POSIX', 'Programming Language :: Python', 'Programming Language :: Python :: 2', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.6', 'Programming Language :: Python :: 3.7', 'Topic :: Internet :: WWW/HTTP', 'Topic :: Internet :: WWW/HTTP :: Dynamic Content :: CGI Tools/Libraries', 'Topic :: Software Development :: Libraries :: Python Modules', 'Topic :: System :: Systems Administration :: Authentication/Directory', ] setup( name='python-openid2', version=VERSION, description='Python OpenID library - OpenID support for servers and consumers.', long_description=LONG_DESCRIPTION, long_description_content_type='text/markdown', url='https://github.com/ziima/python-openid', packages=['openid', 'openid.consumer', 'openid.server', 'openid.store', 'openid.yadis', 'openid.extensions', 'openid.extensions.draft', ], python_requires='>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*', install_requires=INSTALL_REQUIRES, extras_require=EXTRAS_REQUIRE, # license specified by classifier. # license=getLicense(), author='Vlastimil Zíma', author_email='[email protected]', classifiers=CLASSIFIERS, )

ed823982b3671bbdf139afc6df0213684419cb51

py

Python

tests/graphql/stack_overflow/graphene_python_list_resolve_null_for_all_fields/tests.py

karlosss/simple_api

03f87035c648f161d5e7a59b24f4e04bd34399f1

2020-11-13T14:00:06.000Z

2020-12-19T11:50:22.000Z

tests/graphql/stack_overflow/graphene_python_list_resolve_null_for_all_fields/tests.py

karlosss/simple_api

03f87035c648f161d5e7a59b24f4e04bd34399f1

2021-02-04T14:27:43.000Z

2021-06-04T23:22:24.000Z

tests/graphql/stack_overflow/graphene_python_list_resolve_null_for_all_fields/tests.py

karlosss/simple_api

03f87035c648f161d5e7a59b24f4e04bd34399f1

2021-01-06T13:54:38.000Z

2021-01-06T13:54:38.000Z

from .objects import schema from tests.graphql.graphql_test_utils import remove_ws, GraphQLTestCase class Test(GraphQLTestCase): GRAPHQL_SCHEMA = schema REF_GRAPHQL_SCHEMA = """ schema { query: Query } type ActionInfo { name: String! permitted: Boolean! deny_reason: String retry_in: Duration } scalar Duration type ObjectInfo { name: String! pk_field: String actions: [ActionInfo!]! } type Query { users: [User!]! __objects: [ObjectInfo!]! __actions: [ActionInfo!]! } type User { id: Int username: String email: String __actions: [ActionInfo!]! } """ REF_META_SCHEMA = { "data": { "__objects": [ { "name": "User", "pk_field": None, "actions": [] } ], "__actions": [ { "name": "users", "permitted": True, "deny_reason": None, "retry_in": None } ] } } def test_request(self): resp = self.query( """ query{ users{ id username email } } """ ) exp = { "data": { "users": [ { "id": 39330, "username": "RCraig", "email": "[email protected]" }, { "id": 39331, "username": "AHohmann", "email": "[email protected]" } ] } } self.assertResponseNoErrors(resp) self.assertJSONEqual(resp.content, exp)

c9e2ecf85fd9cf01aa8adccae64ae7d4280ab2a9

py

Python

train.py

icoxfog417/tying-wv-and-wc

6975adbe7bbc90e9f838271f9233e2810d0cef70

2017-06-13T12:33:27.000Z

2021-06-09T11:54:54.000Z

train.py

icoxfog417/tying-wv-and-wc

6975adbe7bbc90e9f838271f9233e2810d0cef70

2017-08-01T14:41:27.000Z

2018-11-19T08:55:35.000Z

train.py

icoxfog417/tying-wv-and-wc

6975adbe7bbc90e9f838271f9233e2810d0cef70

2017-06-16T21:01:15.000Z

2018-12-27T04:01:56.000Z

import os import argparse import numpy as np from model.one_hot_model import OneHotModel from model.augmented_model import AugmentedModel from model.data_processor import DataProcessor from model.setting import ProposedSetting DATA_ROOT = os.path.join(os.path.dirname(__file__), "data") LOG_ROOT = os.path.join(os.path.dirname(__file__), "log") MODEL_ROOT = os.path.join(os.path.dirname(__file__), "trained_model") def prepare_dataset(dataset_kind): dp = DataProcessor() if dataset_kind == "ptb": dataset = dp.get_ptb(DATA_ROOT, vocab_size=10000) else: dataset = dp.get_wiki2(DATA_ROOT, vocab_size=30000) return dataset def train_baseline(network_size, dataset_kind, epochs=40, stride=0): # prepare the data setting = ProposedSetting(network_size, dataset_kind) dataset = prepare_dataset(dataset_kind) vocab_size = len(dataset.vocab_data()) sequence_size = 20 dp = DataProcessor() train_steps, train_generator = dp.make_batch_iter(dataset, sequence_size=sequence_size, stride=stride) valid_steps, valid_generator = dp.make_batch_iter(dataset, kind="valid", sequence_size=sequence_size, stride=stride) # make one hot model model = OneHotModel(vocab_size, sequence_size, setting, LOG_ROOT) model.compile() model.fit_generator(train_generator, train_steps, valid_generator, valid_steps, epochs=epochs) model.save(MODEL_ROOT) def train_augmented(network_size, dataset_kind, tying=False, epochs=40, stride=0): # prepare the data setting = ProposedSetting(network_size, dataset_kind) dataset = prepare_dataset(dataset_kind) vocab_size = len(dataset.vocab_data()) sequence_size = 20 dp = DataProcessor() train_steps, train_generator = dp.make_batch_iter(dataset, sequence_size=sequence_size, stride=stride) valid_steps, valid_generator = dp.make_batch_iter(dataset, kind="valid", sequence_size=sequence_size, stride=stride) # make one hot model model = AugmentedModel(vocab_size, sequence_size, setting, tying=tying, checkpoint_path=LOG_ROOT) model.compile() model.fit_generator(train_generator, train_steps, valid_generator, valid_steps, epochs=epochs) model.save(MODEL_ROOT) if __name__ == "__main__": parser = argparse.ArgumentParser(description="Experiment") parser.add_argument("--aug", action="store_const", const=True, default=False, help="use augmented model") parser.add_argument("--tying", action="store_const", const=True, default=False, help="use tying model") parser.add_argument("--nsize", default="small", help="network size (small, medium, large)") parser.add_argument("--dataset", default="ptb", help="dataset kind (ptb or wiki2)") parser.add_argument("--epochs", type=int, default=40, help="epoch to train") parser.add_argument("--stride", type=int, default=0, help="stride of the sequence") args = parser.parse_args() n_size = args.nsize dataset = args.dataset if not os.path.exists(LOG_ROOT): os.mkdir(LOG_ROOT) if args.aug or args.tying: print("Use Augmented Model (tying={})".format(args.tying)) train_augmented(n_size, dataset, args.tying, args.epochs, args.stride) else: train_baseline(n_size, dataset, args.epochs, args.stride)

7d4e90f7c7b116389ad004efc9253f6234f619b4

py

Python

codedvlogs/codedvlogs/wsgi.py

codedskills/django

0724f5c862ea6b3710edf0715292ccf1a67ac3b3

codedvlogs/codedvlogs/wsgi.py

codedskills/django

0724f5c862ea6b3710edf0715292ccf1a67ac3b3

codedvlogs/codedvlogs/wsgi.py

codedskills/django

0724f5c862ea6b3710edf0715292ccf1a67ac3b3

""" WSGI config for codedvlogs project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/1.11/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault("DJANGO_SETTINGS_MODULE", "codedvlogs.settings") application = get_wsgi_application()

043a351fcd457c110b4c1af453771bbe0ee53d5c

py

Python

example/tests/test_example1_etl.py

elau1004/ETLite

8d3eff4963e98029636f76476ff028f16736b17e

2020-02-06T04:35:31.000Z

2020-02-06T04:35:31.000Z

example/tests/test_example1_etl.py

elau1004/ETLite

8d3eff4963e98029636f76476ff028f16736b17e

2019-12-16T05:20:24.000Z

2021-06-02T00:54:51.000Z

example/tests/test_example1_etl.py

elau1004/ETLite

8d3eff4963e98029636f76476ff028f16736b17e

# -*- coding: utf-8 -*- # # Copyright (C) 2019 Edward Lau <[email protected]> # Licensed under the MIT License. # import unittest from etlite.common.base_etl import BaseEtl from etlite.common.base_restapi_etl import BaseRestApiEtl from example.base_example_restapi_etl import BaseExampleRestApiEtl from example.example1_etl import Example1Etl from tests.base_test import BaseTest class TestEtlite( BaseTest ): def test_inheritance( self ): s = Example1Etl() self.assertIsInstance( s ,BaseEtl ) self.assertIsInstance( s ,BaseRestApiEtl ) self.assertIsInstance( s ,BaseExampleRestApiEtl ) if "__main__" == __name__: unittest.main()

ca03aacdb749e5b5f431145f46d64555f1774b88

py

Python

venv/Lib/site-packages/PyInstaller/__init__.py

johnarn/price_observer_bot

3e2fa54dd2217e43eef862b13c28e4afbe13ebff

2019-08-28T21:01:08.000Z

2021-06-30T06:27:35.000Z

venv/Lib/site-packages/PyInstaller/__init__.py

johnarn/price_observer_bot

3e2fa54dd2217e43eef862b13c28e4afbe13ebff

2019-11-10T16:20:09.000Z

2019-12-02T14:23:58.000Z

venv/Lib/site-packages/PyInstaller/__init__.py

johnarn/price_observer_bot

3e2fa54dd2217e43eef862b13c28e4afbe13ebff

2019-08-27T22:21:05.000Z

2021-06-30T06:27:41.000Z

#----------------------------------------------------------------------------- # Copyright (c) 2005-2019, PyInstaller Development Team. # # Distributed under the terms of the GNU General Public License with exception # for distributing bootloader. # # The full license is in the file COPYING.txt, distributed with this software. #----------------------------------------------------------------------------- __all__ = ('HOMEPATH', 'PLATFORM', '__version__') import os import sys from . import compat from .compat import is_win, is_py2 from .utils.git import get_repo_revision # Note: Keep this variable as plain string so it could be updated automatically # when doing a release. __version__ = '3.5' # Absolute path of this package's directory. Save this early so all # submodules can use the absolute path. This is required e.g. if the # current directorey changes prior to loading the hooks. PACKAGEPATH = os.path.abspath(os.path.dirname(__file__)) HOMEPATH = os.path.dirname(PACKAGEPATH) if is_win and is_py2: # This ensures for Python 2 that PyInstaller will work on Windows # with paths containing foreign characters. try: unicode(HOMEPATH) except UnicodeDecodeError: # Do conversion to ShortPathName really only in case HOMEPATH is not # ascii only - conversion to unicode type cause this unicode error. try: HOMEPATH = compat.win32api.GetShortPathName(HOMEPATH) except ImportError: pass # Update __version__ as necessary. if os.path.exists(os.path.join(HOMEPATH, 'setup.py')): # PyInstaller is run directly from source without installation or # __version__ is called from 'setup.py' ... if compat.getenv('PYINSTALLER_DO_RELEASE') == '1': # Suppress the git revision when doing a release. pass elif 'sdist' not in sys.argv: # and 'setup.py' was not called with 'sdist' argument. # For creating source tarball we do not want git revision # in the filename. try: __version__ += get_repo_revision() except Exception: # Write to stderr because stdout is used for eval() statement # in some subprocesses. sys.stderr.write('WARN: failed to parse git revision') else: # PyInstaller was installed by `python setup.py install'. import pkg_resources __version__ = pkg_resources.get_distribution('PyInstaller').version ## Default values of paths where to put files created by PyInstaller. ## Mind option-help in build_main when changes these # Folder where to put created .spec file. DEFAULT_SPECPATH = compat.getcwd() # Folder where to put created .spec file. # Where to put the final app. DEFAULT_DISTPATH = os.path.join(compat.getcwd(), 'dist') # Where to put all the temporary work files, .log, .pyz and etc. DEFAULT_WORKPATH = os.path.join(compat.getcwd(), 'build') PLATFORM = compat.system + '-' + compat.architecture # Include machine name in path to bootloader for some machines. # e.g. 'arm' if compat.machine: PLATFORM += '-' + compat.machine

ca6315d1530621f01c9a4f8b09db0e0bf207b2d8

py

Python

Scripts/python/scripts mundo 1/JOGO CURSO EM VIDEO/exercicio017.py

BrenoNAlmeida/Scripts-Escola

20d886d0401ef7f40a4a46e307eadbf5b1c0a5eb

Scripts/python/scripts mundo 1/JOGO CURSO EM VIDEO/exercicio017.py

BrenoNAlmeida/Scripts-Escola

20d886d0401ef7f40a4a46e307eadbf5b1c0a5eb

Scripts/python/scripts mundo 1/JOGO CURSO EM VIDEO/exercicio017.py

BrenoNAlmeida/Scripts-Escola

20d886d0401ef7f40a4a46e307eadbf5b1c0a5eb

from math import hypot co = float (input('Comprimento do cateto oposto: ')) ca = float (input('Comprimento do cateto adiacente: ')) hi = hypot(co, ca) print('A hipotenusa vai medir {:.2f}'.format(hi)) opcao4 = '' while opcao4!= 'S' and opcao4 != 'N': opcao4 = str(input('você deseja executar novamente [S/N]?')).upper()[0] if opcao4 == 'S': import JOGO if opcao4 == 'N': print('obrigado por ultilizar nossos serviços') break

ba3ac2aee5d63ad969a4ead42f13611c1c51da8f

py

Python

analysis/Python_Scripts/runSpacy.py

J-Wengler/NLP_Paper

b5f1952e04172289adfe935297a1fcfd42e2bf70

2021-11-04T11:03:35.000Z

2021-11-04T11:03:35.000Z

analysis/Python_Scripts/runSpacy.py

J-Wengler/NLP_Paper

b5f1952e04172289adfe935297a1fcfd42e2bf70

analysis/Python_Scripts/runSpacy.py

J-Wengler/NLP_Paper

b5f1952e04172289adfe935297a1fcfd42e2bf70

from helper import * import multiprocessing import spacy import sys import time numKeywords = int(sys.argv[1]) vectorSize = int(sys.argv[2]) maxCandidateArticles = int(sys.argv[3]) reducedSet = str(sys.argv[4]) printTimestamp("Getting candidate articles") if reducedSet=='true': candidate_articles = getCandidateArticles(maxCandidateArticles, True) else: candidate_articles = getCandidateArticles(maxCandidateArticles, False) printTimestamp("Loading Spacy") model = spacy.load("en_core_web_lg") start = time.time() for query in range(6,7): for keywordExtractor in ["TopicRank", "TfIdf", "KPMiner", "YAKE", "TextRank", "SingleRank", "TopicalPageRank", "PositionRank", "MultipartiteRank"]: mp = multiprocessing.Process(target=findSimilarity, args=(keywordExtractor, "SpaCy", model, candidate_articles, query, numKeywords, vectorSize)) mp.start() #mp.join() end = time.time() print('{:.4f} s'.format(end - start))

30c792f22226838886f4f18b1257bb3231509f9c

py

Python

lib/Mako-0.4.1/mako/filters.py

AniX/webapp-improved

a6bd7d4a98642ce0f708e7d53c66f70f168d02f6

2015-01-18T17:30:31.000Z

2019-10-25T17:14:41.000Z

lib/Mako-0.4.1/mako/filters.py

AniX/webapp-improved

a6bd7d4a98642ce0f708e7d53c66f70f168d02f6

2015-09-30T03:15:36.000Z

2015-09-30T03:15:36.000Z

lib/Mako-0.4.1/mako/filters.py

AniX/webapp-improved

a6bd7d4a98642ce0f708e7d53c66f70f168d02f6

2015-06-17T23:01:13.000Z

2015-07-08T23:10:19.000Z

# mako/filters.py # Copyright (C) 2006-2011 the Mako authors and contributors <see AUTHORS file> # # This module is part of Mako and is released under # the MIT License: http://www.opensource.org/licenses/mit-license.php import re, urllib, htmlentitydefs, codecs from StringIO import StringIO from mako import util xml_escapes = { '&' : '&amp;', '>' : '&gt;', '<' : '&lt;', '"' : '&#34;', # also &quot; in html-only "'" : '&#39;' # also &apos; in html-only } # XXX: &quot; is valid in HTML and XML # &apos; is not valid HTML, but is valid XML def legacy_html_escape(string): """legacy HTML escape for non-unicode mode.""" return re.sub(r'([&<"\'>])', lambda m: xml_escapes[m.group()], string) try: import markupsafe html_escape = markupsafe.escape except ImportError: html_escape = legacy_html_escape def xml_escape(string): return re.sub(r'([&<"\'>])', lambda m: xml_escapes[m.group()], string) def url_escape(string): # convert into a list of octets string = string.encode("utf8") return urllib.quote_plus(string) def url_unescape(string): text = urllib.unquote_plus(string) if not is_ascii_str(text): text = text.decode("utf8") return text def trim(string): return string.strip() class Decode(object): def __getattr__(self, key): def decode(x): if isinstance(x, unicode): return x elif not isinstance(x, str): return unicode(str(x), encoding=key) else: return unicode(x, encoding=key) return decode decode = Decode() _ASCII_re = re.compile(r'\A[\x00-\x7f]*\Z') def is_ascii_str(text): return isinstance(text, str) and _ASCII_re.match(text) ################################################################ class XMLEntityEscaper(object): def __init__(self, codepoint2name, name2codepoint): self.codepoint2entity = dict([(c, u'&%s;' % n) for c,n in codepoint2name.iteritems()]) self.name2codepoint = name2codepoint def escape_entities(self, text): """Replace characters with their character entity references. Only characters corresponding to a named entity are replaced. """ return unicode(text).translate(self.codepoint2entity) def __escape(self, m): codepoint = ord(m.group()) try: return self.codepoint2entity[codepoint] except (KeyError, IndexError): return '&#x%X;' % codepoint __escapable = re.compile(r'["&<>]|[^\x00-\x7f]') def escape(self, text): """Replace characters with their character references. Replace characters by their named entity references. Non-ASCII characters, if they do not have a named entity reference, are replaced by numerical character references. The return value is guaranteed to be ASCII. """ return self.__escapable.sub(self.__escape, unicode(text) ).encode('ascii') # XXX: This regexp will not match all valid XML entity names__. # (It punts on details involving involving CombiningChars and Extenders.) # # .. __: http://www.w3.org/TR/2000/REC-xml-20001006#NT-EntityRef __characterrefs = re.compile(r'''& (?: \#(\d+) | \#x([\da-f]+) | ( (?!\d) [:\w] [-.:\w]+ ) ) ;''', re.X | re.UNICODE) def __unescape(self, m): dval, hval, name = m.groups() if dval: codepoint = int(dval) elif hval: codepoint = int(hval, 16) else: codepoint = self.name2codepoint.get(name, 0xfffd) # U+FFFD = "REPLACEMENT CHARACTER" if codepoint < 128: return chr(codepoint) return unichr(codepoint) def unescape(self, text): """Unescape character references. All character references (both entity references and numerical character references) are unescaped. """ return self.__characterrefs.sub(self.__unescape, text) _html_entities_escaper = XMLEntityEscaper(htmlentitydefs.codepoint2name, htmlentitydefs.name2codepoint) html_entities_escape = _html_entities_escaper.escape_entities html_entities_unescape = _html_entities_escaper.unescape def htmlentityreplace_errors(ex): """An encoding error handler. This python `codecs`_ error handler replaces unencodable characters with HTML entities, or, if no HTML entity exists for the character, XML character references. >>> u'The cost was \u20ac12.'.encode('latin1', 'htmlentityreplace') 'The cost was &euro;12.' """ if isinstance(ex, UnicodeEncodeError): # Handle encoding errors bad_text = ex.object[ex.start:ex.end] text = _html_entities_escaper.escape(bad_text) return (unicode(text), ex.end) raise ex codecs.register_error('htmlentityreplace', htmlentityreplace_errors) # TODO: options to make this dynamic per-compilation will be added in a later release DEFAULT_ESCAPES = { 'x':'filters.xml_escape', 'h':'filters.html_escape', 'u':'filters.url_escape', 'trim':'filters.trim', 'entity':'filters.html_entities_escape', 'unicode':'unicode', 'decode':'decode', 'str':'str', 'n':'n' } if util.py3k: DEFAULT_ESCAPES.update({ 'unicode':'str' }) NON_UNICODE_ESCAPES = DEFAULT_ESCAPES.copy() NON_UNICODE_ESCAPES['h'] = 'filters.legacy_html_escape'

1b0e9315d08a15b070f1d3eee622cb42355584c8

py

Python

faculty/config.py

facultyai/faculty

a5eb7bc55343ed47b94125100077123695443035

2019-02-08T11:11:24.000Z

2022-02-05T13:30:01.000Z

faculty/config.py

imrehg/faculty

147c45d7d07dfeaee661b190a3f54937d3eeda87

2019-02-05T16:15:24.000Z

2022-02-23T07:27:28.000Z

faculty/config.py

imrehg/faculty

147c45d7d07dfeaee661b190a3f54937d3eeda87

2019-08-04T10:30:07.000Z

2021-12-26T14:57:23.000Z

# Copyright 2018-2021 Faculty Science Limited # # 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. """ Load library configuration from files, environment variables or code. """ import os import warnings from collections import namedtuple from configparser import ConfigParser, NoSectionError, NoOptionError Profile = namedtuple( "Profile", ["domain", "protocol", "client_id", "client_secret"] ) DEFAULT_PROFILE = "default" DEFAULT_DOMAIN = "services.cloud.my.faculty.ai" DEFAULT_PROTOCOL = "https" def load(path): """Read the Faculty configuration from a file. Parameters ---------- path : str or pathlib.Path The path of the file to load configuration from. Returns ------- Dict[str, Profile] The profiles loaded from the file, keyed by their names. """ parser = ConfigParser() parser.read(str(path)) def _get(section, option): try: return parser.get(section, option) except (NoSectionError, NoOptionError): return None profiles = {} for section in parser.sections(): profiles[section] = Profile( domain=_get(section, "domain"), protocol=_get(section, "protocol"), client_id=_get(section, "client_id"), client_secret=_get(section, "client_secret"), ) return profiles def load_profile(path, profile): """Read a single profile from a file. Parameters ---------- path : str or pathlib.Path The path of the file to load the profile from. profile : str The name of the profile to load. Returns ------- Profile The loaded profile. If the requested profile is not present, an empty profile (with all None values) is returned. """ profiles = load(path) try: return profiles[profile] except KeyError: return Profile(None, None, None, None) def _default_credentials_path(): xdg_config_home = os.environ.get("XDG_CONFIG_HOME") if not xdg_config_home: xdg_config_home = os.path.expanduser("~/.config") default_path = os.path.join(xdg_config_home, "faculty", "credentials") legacy_path = os.path.join(xdg_config_home, "sherlockml", "credentials") if not os.path.exists(default_path) and os.path.exists(legacy_path): template = ( "Reading credentials from {legacy_path}. Credentials at this path " "are deprecated - please migrate by moving them to {default_path}." ) warnings.warn( template.format(legacy_path=legacy_path, default_path=default_path) ) return legacy_path else: return default_path def _get_deprecated_env_var(key, expected_key): value = os.getenv(key) if value: template = ( "The environment variable {key} is deprecated. " "Please migrate by using {expected_key}." ) warnings.warn(template.format(key=key, expected_key=expected_key)) return value def resolve_credentials_path(credentials_path=None): """Determine which credentials file to load. This function implements the order of precendence in which the path of the credentials file can be configured. This order is (highed priority first): * The path passed to this function * The environment variable ``FACULTY_CREDENTIALS_PATH`` * ``~/.config/faculty/credentials`` The last path will be relative to the XDG home directory, when this is configured. """ return ( credentials_path or os.getenv("FACULTY_CREDENTIALS_PATH") or _get_deprecated_env_var( "SHERLOCKML_CREDENTIALS_PATH", "FACULTY_CREDENTIALS_PATH" ) or _default_credentials_path() ) class CredentialsError(RuntimeError): """An error was encourntered when loading Faculty credentials.""" pass def _raise_credentials_error(type_): raise CredentialsError("No {} found".format(type_)) def resolve_profile( credentials_path=None, profile_name=None, domain=None, protocol=None, client_id=None, client_secret=None, ): """Resolve all sources of configuration to load a Faculty profile. This function implements the order of precendence in which configuration entries are determined from files, environment variables and code. Configuration entries are determined in this order of priority (highest first): * The value passed to this function * The value set in an environment variable * The value read from a configuration file The logic for determining the configuration file is described in :func:`resolve_credentials_path`. The profile read from the configuration file will be, in order of priority: * The value passed to this function * The value set in the environment variable ``FACULTY_PROFILE`` * ``default`` Parameters ---------- credentials_path : str or pathlib.Path, optional The path of the credentials file to load. Can also be set with the environment variable ``FACULTY_CREDENTIALS_PATH``. profile_name : str, optional The name of the profile to load from the credentials file. Can also be set with the environment variable ``FACULTY_PROFILE``. domain : str, optional The domain name where Faculty services are hosted. Can also be set with the environment variable ``FACULTY_DOMAIN``. protocol : str, optional The protocol to use when making requests to Faculty services. Can also be set with the environment variable ``FACULTY_PROTOCOL``. client_id : str, optional The OAuth client ID to authenticate requests with. Can also be set with the environment variable ``FACULTY_CLIENT_ID``. client_secret : str, optional The OAuth client secret to authenticate requests with. Can also be set with the environment variable ``FACULTY_CLIENT_SECRET``. Returns ------- Profile The resolved Faculty profile. """ resolved_profile_name = ( profile_name or os.getenv("FACULTY_PROFILE") or _get_deprecated_env_var("SHERLOCKML_PROFILE", "FACULTY_PROFILE") or DEFAULT_PROFILE ) profile = load_profile( resolve_credentials_path(credentials_path), resolved_profile_name ) resolved_domain = ( domain or os.getenv("FACULTY_DOMAIN") or _get_deprecated_env_var("SHERLOCKML_DOMAIN", "FACULTY_DOMAIN") or profile.domain or DEFAULT_DOMAIN ) resolved_protocol = ( protocol or os.getenv("FACULTY_PROTOCOL") or _get_deprecated_env_var("SHERLOCKML_PROTOCOL", "FACULTY_PROTOCOL") or profile.protocol or DEFAULT_PROTOCOL ) resolved_client_id = ( client_id or os.getenv("FACULTY_CLIENT_ID") or _get_deprecated_env_var("SHERLOCKML_CLIENT_ID", "FACULTY_CLIENT_ID") or profile.client_id or _raise_credentials_error("client_id") ) resolved_client_secret = ( client_secret or os.getenv("FACULTY_CLIENT_SECRET") or _get_deprecated_env_var( "SHERLOCKML_CLIENT_SECRET", "FACULTY_CLIENT_SECRET" ) or profile.client_secret or _raise_credentials_error("client_secret") ) return Profile( domain=resolved_domain, protocol=resolved_protocol, client_id=resolved_client_id, client_secret=resolved_client_secret, )

eb33b53469f0d82b0d4550ea0557433dc7d3db3c

py

Python

google/ads/googleads/v6/errors/types/query_error.py

wxxlouisa/google-ads-python

f24137966f6bfcb765a9b1fae79f2d23041825fe

google/ads/googleads/v6/errors/types/query_error.py

wxxlouisa/google-ads-python

f24137966f6bfcb765a9b1fae79f2d23041825fe

google/ads/googleads/v6/errors/types/query_error.py

wxxlouisa/google-ads-python

f24137966f6bfcb765a9b1fae79f2d23041825fe

# -*- coding: utf-8 -*- # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import proto # type: ignore __protobuf__ = proto.module( package="google.ads.googleads.v6.errors", marshal="google.ads.googleads.v6", manifest={"QueryErrorEnum",}, ) class QueryErrorEnum(proto.Message): r"""Container for enum describing possible query errors.""" class QueryError(proto.Enum): r"""Enum describing possible query errors.""" UNSPECIFIED = 0 UNKNOWN = 1 QUERY_ERROR = 50 BAD_ENUM_CONSTANT = 18 BAD_ESCAPE_SEQUENCE = 7 BAD_FIELD_NAME = 12 BAD_LIMIT_VALUE = 15 BAD_NUMBER = 5 BAD_OPERATOR = 3 BAD_PARAMETER_NAME = 61 BAD_PARAMETER_VALUE = 62 BAD_RESOURCE_TYPE_IN_FROM_CLAUSE = 45 BAD_SYMBOL = 2 BAD_VALUE = 4 DATE_RANGE_TOO_WIDE = 36 DATE_RANGE_TOO_NARROW = 60 EXPECTED_AND = 30 EXPECTED_BY = 14 EXPECTED_DIMENSION_FIELD_IN_SELECT_CLAUSE = 37 EXPECTED_FILTERS_ON_DATE_RANGE = 55 EXPECTED_FROM = 44 EXPECTED_LIST = 41 EXPECTED_REFERENCED_FIELD_IN_SELECT_CLAUSE = 16 EXPECTED_SELECT = 13 EXPECTED_SINGLE_VALUE = 42 EXPECTED_VALUE_WITH_BETWEEN_OPERATOR = 29 INVALID_DATE_FORMAT = 38 INVALID_STRING_VALUE = 57 INVALID_VALUE_WITH_BETWEEN_OPERATOR = 26 INVALID_VALUE_WITH_DURING_OPERATOR = 22 INVALID_VALUE_WITH_LIKE_OPERATOR = 56 OPERATOR_FIELD_MISMATCH = 35 PROHIBITED_EMPTY_LIST_IN_CONDITION = 28 PROHIBITED_ENUM_CONSTANT = 54 PROHIBITED_FIELD_COMBINATION_IN_SELECT_CLAUSE = 31 PROHIBITED_FIELD_IN_ORDER_BY_CLAUSE = 40 PROHIBITED_FIELD_IN_SELECT_CLAUSE = 23 PROHIBITED_FIELD_IN_WHERE_CLAUSE = 24 PROHIBITED_RESOURCE_TYPE_IN_FROM_CLAUSE = 43 PROHIBITED_RESOURCE_TYPE_IN_SELECT_CLAUSE = 48 PROHIBITED_RESOURCE_TYPE_IN_WHERE_CLAUSE = 58 PROHIBITED_METRIC_IN_SELECT_OR_WHERE_CLAUSE = 49 PROHIBITED_SEGMENT_IN_SELECT_OR_WHERE_CLAUSE = 51 PROHIBITED_SEGMENT_WITH_METRIC_IN_SELECT_OR_WHERE_CLAUSE = 53 LIMIT_VALUE_TOO_LOW = 25 PROHIBITED_NEWLINE_IN_STRING = 8 PROHIBITED_VALUE_COMBINATION_IN_LIST = 10 PROHIBITED_VALUE_COMBINATION_WITH_BETWEEN_OPERATOR = 21 STRING_NOT_TERMINATED = 6 TOO_MANY_SEGMENTS = 34 UNEXPECTED_END_OF_QUERY = 9 UNEXPECTED_FROM_CLAUSE = 47 UNRECOGNIZED_FIELD = 32 UNEXPECTED_INPUT = 11 REQUESTED_METRICS_FOR_MANAGER = 59 FILTER_HAS_TOO_MANY_VALUES = 63 __all__ = tuple(sorted(__protobuf__.manifest))

938f8b4f88dc76626aa225f65c44f8c248eae26c

py

Python

samples/openapi3/client/petstore/python-experimental/petstore_api/model/danish_pig.py

mariotoffia/openapi-generator

878f6e5709e20f496f04cc4184ef7cf715e9c61f

samples/openapi3/client/petstore/python-experimental/petstore_api/model/danish_pig.py

mariotoffia/openapi-generator

878f6e5709e20f496f04cc4184ef7cf715e9c61f

2022-03-30T16:31:07.000Z

2022-03-30T16:31:07.000Z

samples/openapi3/client/petstore/python-experimental/petstore_api/model/danish_pig.py

yields-io/openapi-generator

949b4e2008421e4abdae17ac5d3cf07c600ee1e0

2022-02-06T21:14:46.000Z

2022-02-06T21:14:46.000Z

# coding: utf-8 """ OpenAPI Petstore This spec is mainly for testing Petstore server and contains fake endpoints, models. Please do not use this for any other purpose. Special characters: \" \\ # noqa: E501 The version of the OpenAPI document: 1.0.0 Generated by: https://openapi-generator.tech """ import re # noqa: F401 import sys # noqa: F401 import typing # noqa: F401 from frozendict import frozendict # noqa: F401 import decimal # noqa: F401 from datetime import date, datetime # noqa: F401 from frozendict import frozendict # noqa: F401 from petstore_api.schemas import ( # noqa: F401 AnyTypeSchema, ComposedSchema, DictSchema, ListSchema, StrSchema, IntSchema, Int32Schema, Int64Schema, Float32Schema, Float64Schema, NumberSchema, DateSchema, DateTimeSchema, DecimalSchema, BoolSchema, BinarySchema, NoneSchema, none_type, InstantiationMetadata, Unset, unset, ComposedBase, ListBase, DictBase, NoneBase, StrBase, IntBase, Int32Base, Int64Base, Float32Base, Float64Base, NumberBase, DateBase, DateTimeBase, BoolBase, BinaryBase, Schema, _SchemaValidator, _SchemaTypeChecker, _SchemaEnumMaker ) class DanishPig( DictSchema ): """NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. """ _required_property_names = set(( 'className', )) class className( _SchemaEnumMaker( enum_value_to_name={ "DanishPig": "DANISHPIG", } ), StrSchema ): @classmethod @property def DANISHPIG(cls): return cls._enum_by_value["DanishPig"]("DanishPig") def __new__( cls, *args: typing.Union[dict, frozendict, ], className: className, _instantiation_metadata: typing.Optional[InstantiationMetadata] = None, **kwargs: typing.Type[Schema], ) -> 'DanishPig': return super().__new__( cls, *args, className=className, _instantiation_metadata=_instantiation_metadata, **kwargs, )

5780fb3c4ed155b2271a46363dff65281309c5f0

py

Python

vbb_backend/session/api/viewsets/sessionMentor.py

patrickb42/backend-vbb-portal

88362bc5b4d5cab95aa67e12694f98371604b65a

2021-04-14T02:59:09.000Z

2021-06-08T00:17:27.000Z

vbb_backend/session/api/viewsets/sessionMentor.py

patrickb42/backend-vbb-portal

88362bc5b4d5cab95aa67e12694f98371604b65a

2020-12-08T00:11:52.000Z

2021-08-09T18:13:32.000Z

vbb_backend/session/api/viewsets/sessionMentor.py

patrickb42/backend-vbb-portal

88362bc5b4d5cab95aa67e12694f98371604b65a

2021-01-12T04:50:26.000Z

2021-06-04T02:00:03.000Z

from rest_framework.exceptions import PermissionDenied from rest_framework.generics import get_object_or_404 from rest_framework.permissions import IsAuthenticated from rest_framework.viewsets import GenericViewSet from rest_framework.mixins import ListModelMixin, RetrieveModelMixin, UpdateModelMixin from vbb_backend.session.api.serializers.sessionMentor import ( MentorSessionListSerializer, ) from vbb_backend.session.models import Session from vbb_backend.session.models import MentorSessionAssociation from vbb_backend.users.models import UserTypeEnum class MentorSessionViewSet( ListModelMixin, RetrieveModelMixin, UpdateModelMixin, GenericViewSet ): queryset = MentorSessionAssociation.objects.all() permission_classes = [IsAuthenticated, ] serializer_class = MentorSessionListSerializer lookup_field = "external_id" def get_queryset(self): queryset = self.queryset user = self.request.user session = Session.objects.get( external_id=self.kwargs.get("session_external_id") ) queryset = queryset.filter(session=session) if user.is_superuser: pass elif user.user_type == UserTypeEnum.HEADMASTER.value: queryset = queryset.filter( session__computer__program__program_director=user ) elif user.user_type == UserTypeEnum.MENTOR.value: queryset = queryset.filter(mentors__mentor__user__in=user) elif user.user_type == UserTypeEnum.STUDENT.value and self.action in [ "list", "retrieve", ]: queryset = queryset.filter(students__student__user__in=user) else: raise PermissionDenied() return queryset

b1767cf46839f79f659115c31d8268645ca1653c

py

Python

backend/app/models/user.py

lorneez/mini-amazon

0b707cec7e8e704fa40c537f39274ba4a50e6c36

2021-10-21T02:30:38.000Z

2021-10-21T22:17:15.000Z

backend/app/models/user.py

lorneez/mini-amazon

0b707cec7e8e704fa40c537f39274ba4a50e6c36

backend/app/models/user.py

lorneez/mini-amazon

0b707cec7e8e704fa40c537f39274ba4a50e6c36

from flask import current_app as app from werkzeug.security import generate_password_hash, check_password_hash import jwt import datetime from flask_login import UserMixin class User(UserMixin): def __init__(self, id, email, name, is_seller, balance, address): self.id = id self.email = email self.name = name self.is_seller = is_seller self.balance = balance self.address = address @staticmethod def get_by_auth(email, password): rows = app.db.execute(""" SELECT password, id, is_seller FROM Users WHERE email = :email """, email=email) if not rows: # email not found print("here1") return None elif check_password_hash(rows[0][0], password): # incorrect password print("here2") return [rows[0][1], rows[0][2]] else: print("here3") return None @staticmethod def encode_auth_token(user_id): # Generates the Auth Token # return: encoded jwt token and datetime object of expiration try: expiration = datetime.datetime.utcnow() + datetime.timedelta(days=0, hours=5) payload = { 'exp': expiration, 'iat': datetime.datetime.utcnow(), 'sub': user_id } token = jwt.encode( payload, app.config.get('SECRET_KEY'), algorithm='HS256' ) return [token, expiration] except Exception as e: return e @staticmethod def email_exists(email): rows = app.db.execute(""" SELECT email FROM Users WHERE email = :email """, email=email) return len(rows) > 0 @staticmethod def register(email, password, name, address, is_seller=False): try: rows = app.db.execute(""" INSERT INTO Users(email, password, name, is_seller, balance, address) VALUES(:email, :password, :name, :is_seller, :balance, :address) RETURNING id """, email = email, password = generate_password_hash(password), name = name, is_seller = is_seller, balance = 0, address = address) id = rows[0][0] return User.get(id) except Exception: # likely email already in use; better error checking and # reporting needed return None @staticmethod def get(id): rows = app.db.execute(""" SELECT id, email, name, is_seller, balance, address FROM Users WHERE id = :id """, id=id) return User(*(rows[0])) if rows else None @staticmethod def change_balance(id, difference): try: rows = app.db.execute(''' UPDATE Users SET balance = balance+:difference WHERE id=:id RETURNING :id ''', difference=difference, id=id) if rows is None: return None return rows[0][0] except Exception: return None @staticmethod def get_balance(uid): try: rows = app.db.execute(''' SELECT balance FROM Users WHERE id=:uid ''', uid=uid) if rows is None: return None return rows[0][0] except Exception: return None

b71657e9024e8c90c05741e5aa9f35c8be68a689

py

Python

models/base_gru_net.py

se122811/3D-R2N2-PyTorch

18ceddbd5b1cf7d58cf56388f48337a1220b2a98

2018-07-04T10:07:48.000Z

2021-09-02T01:41:38.000Z

models/base_gru_net.py

ssbnsk99/3D-R2N2-PyTorch

18ceddbd5b1cf7d58cf56388f48337a1220b2a98

2019-01-07T02:10:16.000Z

2021-06-04T02:39:29.000Z

models/base_gru_net.py

ssbnsk99/3D-R2N2-PyTorch

18ceddbd5b1cf7d58cf56388f48337a1220b2a98

2019-05-30T15:55:14.000Z

2021-02-18T07:51:33.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Apr 17 21:04:40 2018 @author: wangchu """ from models.net import Net from lib.layers import SoftmaxWithLoss3D import torch from torch.autograd import Variable ########################################################################################## # # # GRUNet definition using PyTorch # # # ########################################################################################## class BaseGRUNet(Net): """ This class is used to define some common attributes and methods that both GRUNet and ResidualGRUNet have. Note that GRUNet and ResidualGRUNet have the same loss function and forward pass. The only difference is different encoder and decoder architecture. """ def __init__(self): print("initializing \"BaseGRUNet\"") super(BaseGRUNet, self).__init__() """ Set the necessary data of the network """ self.is_x_tensor4 = False self.n_gru_vox = 4 #the size of x is (num_views, batch_size, 3, img_w, img_h) self.input_shape = (self.batch_size, 3, self.img_w, self.img_h) #number of filters for each convolution layer in the encoder self.n_convfilter = [96, 128, 256, 256, 256, 256] #the dimension of the fully connected layer self.n_fc_filters = [1024] #number of filters for each 3d convolution layer in the decoder self.n_deconvfilter = [128, 128, 128, 64, 32, 2] #the size of the hidden state self.h_shape = (self.batch_size, self.n_deconvfilter[0], self.n_gru_vox, self.n_gru_vox, self.n_gru_vox) #the filter shape of the 3d convolutional gru unit self.conv3d_filter_shape = (self.n_deconvfilter[0], self.n_deconvfilter[0], 3, 3, 3) #set the last layer self.SoftmaxWithLoss3D = SoftmaxWithLoss3D() #set the encoder and the decoder of the network self.encoder = None self.decoder = None def forward(self, x, y=None, test=True): #ensure that the network has encoder and decoder attributes if self.encoder is None: raise Exception("subclass network of BaseGRUNet must define the \"encoder\" attribute") if self.decoder is None: raise Exception("subclass network of BaseGRUNet must define the \"decoder\" attribute") #initialize the hidden state and update gate h = self.initHidden(self.h_shape) u = self.initHidden(self.h_shape) #a list used to store intermediate update gate activations u_list = [] """ x is the input and the size of x is (num_views, batch_size, channels, heights, widths). h and u is the hidden state and activation of last time step respectively. The following loop computes the forward pass of the whole network. """ for time in range(x.size(0)): gru_out, update_gate = self.encoder(x[time], h, u, time) h = gru_out u = update_gate u_list.append(u) out = self.decoder(h) """ If test is True and y is None, then the out is the [prediction]. If test is True and y is not None, then the out is [prediction, loss]. If test is False and y is not None, then the out is loss. """ out = self.SoftmaxWithLoss3D(out, y=y, test=test) if test: out.extend(u_list) return out def initHidden(self, h_shape): h = torch.zeros(h_shape) if torch.cuda.is_available(): h = h.cuda() return Variable(h)

f5bf24f049b626090bccdda9047adf97df1f18b1

py

Python

update_pth.py

FIT4003StackGAN/Automated-Metamorphic-Testing-on-StackGAN-v2

699446e10120d7f0c43cc0a3ec224a4a2997d81c

update_pth.py

FIT4003StackGAN/Automated-Metamorphic-Testing-on-StackGAN-v2

699446e10120d7f0c43cc0a3ec224a4a2997d81c

update_pth.py

FIT4003StackGAN/Automated-Metamorphic-Testing-on-StackGAN-v2

699446e10120d7f0c43cc0a3ec224a4a2997d81c

#! /usr/bin/python import argparse import glob import os import sys def get_contents(yml_dir): yml_file = open(yml_dir) lines = yml_file.readlines() yml_file.close() return lines def get_pth_files(pth_dir): pth_files = [os.path.basename(x) for x in glob.glob(pth_dir)] pth_files.sort() return pth_files def init(yml_dir, pth_dir, netG): lines = get_contents(yml_dir) pth_files = get_pth_files(pth_dir) default = " NET_G: '../models/birds_3stages/{}'\n" for i in range(len(lines)): if "/netG_" in lines[i]: try: init_pth = netG if netG in pth_files else pth_files[0] lines[i] = default.format(init_pth) yml_file = open(yml_dir, "w") new_file_contents = "".join(lines) yml_file.write(new_file_contents) yml_file.close() return init_pth[5:11] except: return None def update(yml_dir, pth_dir): lines = get_contents(yml_dir) pth_files = get_pth_files(pth_dir) default = " NET_G: '../models/birds_3stages/{}'\n" for i in range(len(lines)): if "/netG_" in lines[i]: index = lines[i].find("netG_") prev_pth = lines[i][index:index+15] try: prev_pth_i = pth_files.index(prev_pth) except: prev_pth_i = -1 try: next_pth = pth_files[prev_pth_i+1] lines[i] = default.format(next_pth) yml_file = open(yml_dir, "w") new_file_contents = "".join(lines) yml_file.write(new_file_contents) yml_file.close() return next_pth[5:11] except: return None if __name__ == "__main__": parser = argparse.ArgumentParser(prog="Automate Test") parser.add_argument("-n", "--netG", dest="netG", default='netG_200000') parser.add_argument("-m", "--mode", dest="mode", default='update') parser.add_argument("-d", "--base_dir", dest="base_dir", default="/home/monash/Desktop/StackGAN-v2-master/code") args = parser.parse_args() yml_dir = args.base_dir + "/cfg/eval_birds.yml" pth_dir = args.base_dir + "/../models/birds_3stages/*.pth" if args.mode.lower() == "update": print(update(yml_dir, pth_dir)) elif args.mode.lower() == "init": print(init(yml_dir, pth_dir, args.netG))

6b5ae2169dc22cf1e6234909773c2dd39cb2d001

py

Python

effunet/effunet.py

pranshu97/effunet

71dfae6a7a2a9558b08389ea8025e9477e18b32a

2020-12-17T17:01:55.000Z

2022-02-08T10:10:05.000Z

effunet/effunet.py

pranshu97/effunet

71dfae6a7a2a9558b08389ea8025e9477e18b32a

2020-12-24T14:02:52.000Z

2021-05-27T06:35:50.000Z

effunet/effunet.py

pranshu97/effunet

71dfae6a7a2a9558b08389ea8025e9477e18b32a

2021-01-19T06:26:24.000Z

2021-12-06T11:33:35.000Z

import torch import torch.nn as nn import torchvision.transforms as T from efficientnet_pytorch import EfficientNet # Utility Functions for the model def double_conv(in_,out_,drop): # Double convolution layer for decoder conv = nn.Sequential( nn.Conv2d(in_,out_,kernel_size=3,padding=(1,1)), nn.ReLU(inplace=True), nn.Conv2d(out_,out_,kernel_size=3,padding=(1,1)), nn.ReLU(inplace=True), nn.Dropout(drop) ) return conv def crop(tensor,target_tensor): # Crop tensor to target tensor size target_shape = target_tensor.shape[2] return T.CenterCrop(target_shape)(tensor) # Hook functions to get values of intermediate layers for cross connection hook_values = [] def hook(_, input, output): global hook_values hook_values.append(output) # stores values of each layers in hook_values indices = [] shapes = [] def init_hook(model,device): global shapes, indices, hook_values for i in range(len(model._blocks)): model._blocks[i].register_forward_hook(hook) #register hooks image = torch.rand([1,3,576,576]) image = image.to(device) out = model(image) # generate hook values to get shapes shape = [i.shape for i in hook_values] # get shape of all layers for i in range(len(shape)-1): if shape[i][2]!=shape[i+1][2]: # get indices of layers only where output dimension change indices.append(i) indices.append(len(shape)-1) # get last layer index shapes = [shape[i] for i in indices] # get shapes of required layers shapes = shapes[::-1] encoder_out = [] def epoch_hook(model, image): global encoder_out, indices, hook_values hook_values = [] out = model(image) # generate layer outputs with current image encoder_out = [hook_values[i] for i in indices] # get layer outputs for selected indices class EffUNet(nn.Module): def __init__(self,model='b0',out_channels=2,dropout=0.1,freeze_backbone=True,pretrained=True,device='cuda',num_gpu=1): super(EffUNet,self).__init__() global layers, shapes if model not in set(['b0','b1','b2','b3','b4','b5','b6','b7']): raise Exception(f'{model} unavailable.') if pretrained: self.encoder = EfficientNet.from_pretrained(f'efficientnet-{model}') else: self.encoder = EfficientNet.from_name(f'efficientnet-{model}') # Disable non required layers by replacing them with identity self.encoder._conv_head=torch.nn.Identity() self.encoder._bn1=torch.nn.Identity() self.encoder._avg_pooling=torch.nn.Identity() self.encoder._dropout=torch.nn.Identity() self.encoder._fc=torch.nn.Identity() self.encoder._swish=torch.nn.Identity() if isinstance(device, str): self.device = torch.device(device) else: self.device = device self.encoder.to(self.device) self.encoder._conv_stem.stride=1 # change stride of first layer from 2 to 1 to increase o/p size self.encoder._conv_stem.kernel_size=(1,1) # # freeze encoder if freeze_backbone: for param in self.encoder.parameters(): param.requires_grad = False # register hooks & get shapes init_hook(self.encoder,self.device) # Building decoder self.decoder = torch.nn.modules.container.ModuleList() for i in range(len(shapes)-1): self.decoder.append(torch.nn.modules.container.ModuleList()) self.decoder[i].append(nn.ConvTranspose2d(shapes[i][1],shapes[i][1]-shapes[i+1][1],kernel_size=2,stride=2).to(self.device)) self.decoder[i].append(double_conv(shapes[i][1],shapes[i+1][1],dropout).to(self.device)) #output layer self.out = nn.Conv2d(shapes[-1][1],out_channels,kernel_size=1).to(self.device) # Handling multiple GPUs if num_gpu>1 and device=='cuda': self.encoder = nn.DataParallel(self.encoder) def forward(self, image): global layers h=image.shape[2] w=image.shape[3] if h%8!=0 or w%8!=0: new_h = round(h/8)*8 new_w = round(w/8)*8 image = T.Resize((new_h,new_w))(image) # Encoder epoch_hook(self.encoder, image) # required outputs accumulate in "encoder_out" #Decoder x = encoder_out.pop() for i in range(len(self.decoder)): x = self.decoder[i][0](x) # conv transpose prev = encoder_out.pop() prev = crop(prev,x) # croping for cross connection prev = torch.cat([x,prev],axis=1) # concatenating x = self.decoder[i][1](prev) # double conv #out x = self.out(x) return x # img = torch.rand([1,3,512,512]).cuda() # model = EffUNet() # # print(model) # out = model(img) # print(out.shape)

4921416f7fd40696c1531d05ea869b4fd65d280b

py

Python

test/system/auto/simple/nativeMap.py

marciosilva/accumulo

70404cbd1e0a2d2b7c2235009e158979abeef35f

2021-11-11T05:18:23.000Z

2021-11-11T05:18:43.000Z

test/system/auto/simple/nativeMap.py

jatrost/accumulo

6be40f2f3711aaa7d0b68b5b6852b79304af3cff

2021-06-22T09:52:37.000Z

2021-06-22T09:52:37.000Z

test/system/auto/simple/nativeMap.py

jatrost/accumulo

6be40f2f3711aaa7d0b68b5b6852b79304af3cff

2021-11-09T05:32:32.000Z

2021-11-09T05:32:32.000Z

# Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import os import unittest import time from TestUtils import TestUtilsMixin class NativeMapTest(TestUtilsMixin, unittest.TestCase): "Native Map Unit Test" order = 21 testClass="" def setUp(self): pass def runTest(self): handle = self.runClassOn('localhost', 'org.apache.accumulo.server.test.functional.NativeMapTest', []) self.waitForStop(handle, 20) def tearDown(self): pass def suite(): result = unittest.TestSuite() result.addTest(NativeMapTest()) return result

7ea76583f30e30ff8657df52e03dbd234bf90eed

py

Python

main.py

Hunter-DDM/DeFT-naacl2021

c61aeb4f63a650a0a1b71fb1b0b245cb3925009b

2021-03-14T09:24:51.000Z

2021-06-20T08:45:50.000Z

main.py

Hunter-DDM/DeFT-naacl2021

c61aeb4f63a650a0a1b71fb1b0b245cb3925009b

main.py

Hunter-DDM/DeFT-naacl2021

c61aeb4f63a650a0a1b71fb1b0b245cb3925009b

import argparse import time import math from builtins import enumerate import torch import torch.nn as nn import numpy as np import data import model import translate def load_checkpoint(): checkpoint = torch.load(args.save) model.load_state_dict(checkpoint['state_dict']) optimizer.load_state_dict(checkpoint['optimizer']) def save_checkpoint(): check_point = {'state_dict': model.state_dict(), 'optimizer': optimizer.state_dict()} torch.save(check_point, args.save) ############################################################################### # Training code ############################################################################### def train(): # Turn on training mode which enables dropout. model.train() total_loss = 0 batch_iter = corpus.batch_iterator(corpus.train, args.batch_size, cuda=args.cuda, shuffle=True, mode='train', seed_feeding=model.seed_feeding) batch_num = -(-len(corpus.train) // args.batch_size) start_time = time.time() for i, elems in enumerate(batch_iter): optimizer.zero_grad() hidden = model.init_hidden(len(elems[0]), model.dhid) # nlayer, batch, d_hid; nlayer, batch, d_hid; if args.char: if args.use_formation: char_emb = model.get_char_embedding(elems[1], elems[7]) # batch, d_char_emb; else: char_emb = model.get_char_embedding(elems[1]) # batch, d_char_emb; else: char_emb = None (word, # batch chars, # batch, d_emb * 2 vec, # batch, d_emb src, # maxlen, batch trg, # maxlen + 1 eg, # maxlen_eg, batch eg_mask, # maxlen_eg, batch fms, # batch mor1, # maxlen_mor1, batch mor1_len, # batch, mor1 mor1_mask, # maxlen_mor1, batch mor2, # maxlen_mor2, batch mor2_len, # batch, mor2 mor2_mask, # maxlen_mor2, batch sm_vecs # batch, d_emb ) = elems eg_emb = model.get_nn_embedding(eg) # maxlen_eg, batch, 2 * d_hid; Wh_enc = model.attention.map_enc_states(eg_emb) # batch, maxlen_eg, d_hid; output, hidden = model(src, hidden, vec, eg_emb, eg_mask, Wh_enc, fms, mor1, mor1_len, mor1_mask, mor2, mor2_len, mor2_mask, sm_vecs, args.cuda, seed_feeding=model.seed_feeding, char_emb=char_emb, teacher_ratio=args.teacher_ratio) # maxlen + 1, batch, vocab loss = criterion(output.view(output.size(0) * output.size(1), -1), trg) # (maxlen + 1) * batch, vocab; (maxlen + 1) * batch loss.backward() torch.nn.utils.clip_grad_norm_(model.parameters(), args.clip) optimizer.step() total_loss += loss.data if (i+1) % args.log_interval == 0: elapsed = time.time() - start_time cur_loss = total_loss.item() / args.log_interval print('| epoch {:3d} | {:5d}/{:5d} batches | lr {:02.07f} | ms/batch {:5.2f} | loss {:5.2f} | ppl {:8.2f}'.format( epoch, i+1, batch_num, lr, elapsed * 1000 / args.log_interval, cur_loss, math.exp(cur_loss)), flush=True ) total_loss = 0 start_time = time.time() if __name__ == '__main__': parser = argparse.ArgumentParser(description='Morpheme') parser.add_argument('--data', type=str, default='./data/noraset', help='location of the data corpus') parser.add_argument('--data_usage', type=int, default=100, help='how many train data to be used (0 - 100 [%])') parser.add_argument('--vocab_size', type=int, default=-1, help='vocabulary size (-1 = all vocabl)') parser.add_argument('--vec', type=str, default='./data/GoogleNews-vectors-negative300.txt', help='location of the word2vec data') parser.add_argument('--model', type=str, default='LSTM', help='type of recurrent net (RNN_TANH, RNN_RELU, LSTM, GRU)') parser.add_argument('--emsize', type=int, default=300, help='size of word embeddings') parser.add_argument('--init_dist', type=str, default='uniform', help='distribution to be used to initialize (uniform, xavier)') parser.add_argument('--init_range', type=float, default=0.05, help='initialize parameters using uniform distribution between -uniform and uniform.') parser.add_argument('--init_embedding', action='store_true', help='initialize word embeddings with read vectors from word2vec') parser.add_argument('--seed_feeding', action='store_true', help='feed seed embedding at the first step of decoding') parser.add_argument('--use_eg', action='store_true', help='whether to use example information') parser.add_argument('--simple_eg', action='store_true', help='whether to use rule-based simple example, for analysis') parser.add_argument('--use_wordvec', action='store_true', help='whether to use wordvec information') parser.add_argument('--use_morpheme', action='store_true', help='whether to use morpheme information') parser.add_argument('--use_formation', action='store_true', help='whether to use formation information') parser.add_argument('--use_sememe', action='store_true', help='whether to use sememe information') parser.add_argument('--teacher_ratio', type=float, default=1.0, help='teacher forcing ratio') parser.add_argument('--char', action='store_true', help='character embedding') parser.add_argument('--fix_embedding', action='store_true', help='fix initialized word embeddings') parser.add_argument('--dhid', type=int, default=300, help='dimension of hidden states') parser.add_argument('--nlayers', type=int, default=2, help='number of layers') parser.add_argument('--lr', type=float, default=0.001, help='initial learning rate') parser.add_argument('--lr_decay', type=float, default=0.5, help='factor by which learning rate is decayed (lr = lr * factor)') parser.add_argument('--clip', type=float, default=0.25, help='gradient clipping') parser.add_argument('--epochs', type=int, default=500, help='upper epoch limit') parser.add_argument('--batch_size', type=int, default=32, metavar='N', help='batch size') parser.add_argument('--emb_dropout', type=float, default=0.2, help='dropout applied to embedding layer (0 = no dropout)') parser.add_argument('--dropout', type=float, default=0.5, help='dropout applied to layers (0 = no dropout)') parser.add_argument('--tied', action='store_true', help='tie the word embedding and softmax weights') parser.add_argument('--seed', type=int, default=1111, help='random seed') parser.add_argument('--cuda', action='store_true', help='use CUDA') parser.add_argument('--log_interval', type=int, default=200, metavar='N', help='report interval') parser.add_argument('--save', type=str, default='model.pt', help='path to save the final model') parser.add_argument('--opt', type=str, default='adam', help='optimizer (adam, sgd)') parser.add_argument('--sentence_bleu', type=str, default='./sentence-bleu', help='Compiled binary file of sentece-bleu.cpp') parser.add_argument('--valid_all', action='store_true', help='Run validation with all data (only for debugging)') args = parser.parse_args() print(args) # Set the random seed manually for reproducibility. torch.manual_seed(args.seed) if torch.cuda.is_available(): if not args.cuda: print("WARNING: You have a CUDA device, so you should probably run with --cuda") else: torch.cuda.manual_seed(args.seed) ############################################################################### # Load data ############################################################################### corpus = data.MorphemeCorpus(args) if args.data_usage < 100.0: corpus.sample_train_data(args.data_usage) translator = translate.Translator(corpus, sentence_bleu=args.sentence_bleu, valid_all=args.valid_all) eval_batch_size = 10 ############################################################################### # Build the model ############################################################################### vocab_size = len(corpus.id2word) model = model.MORPHEME_EXT(args, corpus) if args.init_embedding == True: model.init_embedding(corpus, fix_embedding=args.fix_embedding) if args.cuda: model.cuda() criterion = nn.CrossEntropyLoss(ignore_index=corpus.word2id['<pad>']) # 默认 ignore -100 这个 index，对应 seed 位置生成的词; 改成 <pad> 作为 ign_idx 了 if args.opt == 'adam': optimizer = torch.optim.Adam(model.parameters(), lr=args.lr) elif args.opt == 'sgd': optimizer = torch.optim.SGD(model.parameters(), lr=args.lr) # Loop over epochs. lr = args.lr best_val_loss = 99999999 best_bleu = -1 no_improvement = 0 # At any point you can hit Ctrl + C to break out of training early. try: for epoch in range(1, args.epochs + 1): epoch_start_time = time.time() train() [val_loss] = translator.eval_loss(model, mode='valid', max_batch_size=args.batch_size, cuda=args.cuda) hyp = translator.greedy(model, mode="valid", max_batch_size=args.batch_size, cuda=args.cuda, max_len=corpus.max_len) val_bleu_corpus = translator.bleu(hyp, mode="valid", nltk='corpus') val_bleu_sentence = translator.bleu(hyp, mode="valid", nltk='sentence') # debug: evaluate training set hyp_train = translator.greedy(model, mode="train", max_batch_size=args.batch_size, cuda=args.cuda, max_len=corpus.max_len) val_bleu_corpus_train = translator.bleu(hyp_train, mode="train", nltk='corpus') val_bleu_sentence_train = translator.bleu(hyp_train, mode="train", nltk='sentence') print('train_bleu(corpus/sentence): ({:5.2f}/{:5.2f})'.format(val_bleu_corpus_train * 100, val_bleu_sentence_train * 100)) if val_loss < best_val_loss: save_checkpoint() best_val_loss = val_loss best_bleu = val_bleu_sentence # we are interested in the best bleu after ppl stop decreasing no_improvement = 0 elif val_bleu_sentence > best_bleu: save_checkpoint() best_bleu = val_bleu_sentence no_improvement = 0 else: no_improvement += 1 if no_improvement == 6: load_checkpoint() lr *= args.lr_decay for param_group in optimizer.param_groups: param_group['lr'] *= args.lr_decay if no_improvement == 12: break print('-' * 112) print('| end of epoch {:3d} | time: {:5.2f}s | valid loss {:5.2f} | ppl {:8.2f} | BLEU(C/S) {:5.2f} /{:5.2f} | not improved: {:d}'.format( epoch, (time.time() - epoch_start_time), val_loss, math.exp(val_loss), val_bleu_corpus * 100, val_bleu_sentence * 100, no_improvement), flush=True ) print('-' * 112) except KeyboardInterrupt: print('-' * 112) print('Exiting from training early') # Load the best saved model. load_checkpoint() # Run on test data. hyp = translator.greedy(model, mode="test", max_batch_size=args.batch_size, cuda=args.cuda, max_len=corpus.max_len) print('-' * 112) print('Decoded:') for (word, desc) in hyp: print(word, end='\t') new_def = [] for w in desc: if w not in corpus.id2word: new_def.append('[' + w + ']') else: new_def.append(w) print(' '.join(new_def), flush=True) test_loss = translator.eval_loss(model, mode='test', max_batch_size=args.batch_size, cuda=args.cuda) test_bleu_corpus = translator.bleu(hyp, mode="test", nltk='corpus') test_bleu_sentence = translator.bleu(hyp, mode="test", nltk='sentence') print('=' * 112) print('| End of training | test BLEU (corpus.nltk / sent.nltk): {:5.2f}/{:5.2f}'.format(test_bleu_corpus * 100, test_bleu_sentence * 100)) print('| End of training | best_valid BLEU (sent.nltk): {:5.2f}'.format(best_bleu * 100)) print('=' * 112)

8291fb09a2ab2b555d729bc963eb086ac10ad582

py

Python

napari_allencell_segmenter/core/router.py

neuromusic/napari-allencell-segmenter

c732408023c828c07ec2a425f4f426174d94946b

2021-06-29T09:24:22.000Z

2022-03-22T23:43:10.000Z

napari_allencell_segmenter/core/router.py

neuromusic/napari-allencell-segmenter

c732408023c828c07ec2a425f4f426174d94946b

2021-02-18T02:39:31.000Z

2021-06-18T21:38:41.000Z

napari_allencell_segmenter/core/router.py

neuromusic/napari-allencell-segmenter

c732408023c828c07ec2a425f4f426174d94946b

2021-09-14T22:07:22.000Z

2022-02-07T16:41:02.000Z

from aicssegmentation.workflow import WorkflowEngine from napari_allencell_segmenter.controller.workflow_select_controller import WorkflowSelectController from napari_allencell_segmenter.controller.workflow_steps_controller import WorkflowStepsController from napari_allencell_segmenter.controller.batch_processing_controller import BatchProcessingController from napari_allencell_segmenter.core.layer_reader import LayerReader from napari_allencell_segmenter.core.controller import Controller from ._interfaces import IApplication, IRouter class Router(IRouter): _controller = None def __init__(self, application: IApplication): if application is None: raise ValueError("application") self._application = application # TODO do some proper dependency injection in the future if the project grows self._layer_reader = LayerReader() self._workflow_engine = WorkflowEngine() def workflow_selection(self): controller = WorkflowSelectController(self._application, self._layer_reader, self._workflow_engine) self._handle_navigation(controller) def workflow_steps(self): controller = WorkflowStepsController(self._application, self._workflow_engine) self._handle_navigation(controller) def batch_processing(self): controller = BatchProcessingController(self._application, self._workflow_engine) self._handle_navigation(controller) def _handle_navigation(self, controller: Controller): if self._controller: self._controller.cleanup() self._controller = controller self._controller.index()

511ed3f95569961b3a0e0c438fd919f3b634432d

py

Python

csrank/tests/test_util.py

hytsang/cs-ranking

241626a6a100a27b96990b4f199087a6dc50dcc0

csrank/tests/test_util.py

hytsang/cs-ranking

241626a6a100a27b96990b4f199087a6dc50dcc0

csrank/tests/test_util.py

hytsang/cs-ranking

241626a6a100a27b96990b4f199087a6dc50dcc0

2018-10-30T08:57:14.000Z

2018-10-30T08:57:14.000Z

import pytest import numpy as np import tensorflow as tf from keras import backend as K from ..dataset_reader.util import SyntheticIterator from ..util import tensorify, check_ranker_class def test_tensorify(): a = np.array([1., 2.]) out = tensorify(a) assert isinstance(out, tf.Tensor) b = K.zeros((5, 3)) out = tensorify(b) assert b == out def test_synthetic_iterator(): def func(a, b): return (b, a) it = SyntheticIterator(dataset_function=func, a=41, b=2) for i, (x, y) in enumerate(it): if i == 1: break assert x == 2 assert y == 41 def test_check_ranker_class(): class MockClass(object): def __init__(self): pass ranker = MockClass() with pytest.raises(AttributeError): check_ranker_class(ranker)

13a2e2ab9e3c020a8c3453084771ed2d53087c61

py

Python

src/main/java/finished/dp/finished/No87_扰乱字符串/87.py

fortbox/leetcode-solve

3e9d33fc2d1936ae028fe4b3925ab27e2098acb8

src/main/java/finished/dp/finished/No87_扰乱字符串/87.py

fortbox/leetcode-solve

3e9d33fc2d1936ae028fe4b3925ab27e2098acb8

src/main/java/finished/dp/finished/No87_扰乱字符串/87.py

fortbox/leetcode-solve

3e9d33fc2d1936ae028fe4b3925ab27e2098acb8

# Copyright (c) 2019 # @Author: xiaoweixiang class Solution: def isScramble(self, s1: str, s2: str) -> bool: if s1 == s2: return True if sorted(s1) != sorted(s2): return False for i in range(1, len(s1)): if self.isScramble(s1[:i], s2[:i]) and self.isScramble(s1[i:], s2[i:]): return True if self.isScramble(s1[:i], s2[-i:]) and self.isScramble(s1[i:], s2[:-i]): return True return False

b3b82b5440c2e31f8283634cce405af8fa49a21d

py

Python

samples/balloon/dataset/BaloonDataset.py

Trevol/Mask_RCNN

18308082e2c5fd5b4df5d6e40f009b3ebd66c26d

samples/balloon/dataset/BaloonDataset.py

Trevol/Mask_RCNN

18308082e2c5fd5b4df5d6e40f009b3ebd66c26d

samples/balloon/dataset/BaloonDataset.py

Trevol/Mask_RCNN

18308082e2c5fd5b4df5d6e40f009b3ebd66c26d

import os, numpy as np, json, skimage from mrcnn import utils class BalloonDataset(utils.Dataset): def load_balloon(self, dataset_dir, subset): """Load a subset of the Balloon dataset. dataset_dir: Root directory of the dataset. subset: Subset to load: train or val """ # Add classes. We have only one class to add. self.add_class("balloon", 1, "balloon") # Train or validation dataset? assert subset in ["train", "val"] dataset_dir = os.path.join(dataset_dir, subset) # Load annotations # VGG Image Annotator (up to version 1.6) saves each image in the form: # { 'filename': '28503151_5b5b7ec140_b.jpg', # 'regions': { # '0': { # 'region_attributes': {}, # 'shape_attributes': { # 'all_points_x': [...], # 'all_points_y': [...], # 'name': 'polygon'}}, # ... more regions ... # }, # 'size': 100202 # } # We mostly care about the x and y coordinates of each region # Note: In VIA 2.0, regions was changed from a dict to a list. annotations = json.load(open(os.path.join(dataset_dir, "via_region_data.json"))) annotations = list(annotations.values()) # don't need the dict keys # The VIA tool saves images in the JSON even if they don't have any # annotations. Skip unannotated images. annotations = [a for a in annotations if a['regions']] # Add images for a in annotations: # Get the x, y coordinaets of points of the polygons that make up # the outline of each object instance. These are stores in the # shape_attributes (see json format above) # The if condition is needed to support VIA versions 1.x and 2.x. if type(a['regions']) is dict: polygons = [r['shape_attributes'] for r in a['regions'].values()] else: polygons = [r['shape_attributes'] for r in a['regions']] # load_mask() needs the image size to convert polygons to masks. # Unfortunately, VIA doesn't include it in JSON, so we must read # the image. This is only managable since the dataset is tiny. image_path = os.path.join(dataset_dir, a['filename']) image = skimage.io.imread(image_path) height, width = image.shape[:2] self.add_image( "balloon", image_id=a['filename'], # use file name as a unique image id path=image_path, width=width, height=height, polygons=polygons) def load_mask(self, image_id): """Generate instance masks for an image. Returns: masks: A bool array of shape [height, width, instance count] with one mask per instance. class_ids: a 1D array of class IDs of the instance masks. """ # If not a balloon dataset image, delegate to parent class. image_info = self.image_info[image_id] if image_info["source"] != "balloon": return super(self.__class__, self).load_mask(image_id) # Convert polygons to a bitmap mask of shape # [height, width, instance_count] info = self.image_info[image_id] mask = np.zeros([info["height"], info["width"], len(info["polygons"])], dtype=np.uint8) for i, p in enumerate(info["polygons"]): # Get indexes of pixels inside the polygon and set them to 1 rr, cc = skimage.draw.polygon(p['all_points_y'], p['all_points_x']) mask[rr, cc, i] = 1 # Return mask, and array of class IDs of each instance. Since we have # one class ID only, we return an array of 1s return mask.astype(np.bool), np.ones([mask.shape[-1]], dtype=np.int32) def image_reference(self, image_id): """Return the path of the image.""" info = self.image_info[image_id] if info["source"] == "balloon": return info["path"] else: super(self.__class__, self).image_reference(image_id)

48f7e0ccb02c07604d49bfd4e633b44aa4f06374

py

Python

custom_laboratory/custom_laboratory/doctype/vaccination_intervals_table/vaccination_intervals_table.py

panhavad/custom_laboratory

a86d24bd955dc078ded044e714955cdf0c257176

custom_laboratory/custom_laboratory/doctype/vaccination_intervals_table/vaccination_intervals_table.py

panhavad/custom_laboratory

a86d24bd955dc078ded044e714955cdf0c257176

2021-01-12T08:27:54.000Z

2021-01-12T08:27:54.000Z

custom_laboratory/custom_laboratory/doctype/vaccination_intervals_table/vaccination_intervals_table.py

panhavad/custom_laboratory

a86d24bd955dc078ded044e714955cdf0c257176

2021-01-12T08:34:12.000Z

2021-01-12T08:34:12.000Z

# -*- coding: utf-8 -*- # Copyright (c) 2020, Duk Panhavad and contributors # For license information, please see license.txt from __future__ import unicode_literals # import frappe from frappe.model.document import Document class VaccinationIntervalsTable(Document): pass

f9e16f5facb6a70358b9fa0a024382c2dd4cae1b

py

Python

pytests/CCCP.py

mhocouchbase/testrunner

10faf6955a905dee9a254daf90352881d4687735

pytests/CCCP.py

mhocouchbase/testrunner

10faf6955a905dee9a254daf90352881d4687735

pytests/CCCP.py

mhocouchbase/testrunner

10faf6955a905dee9a254daf90352881d4687735

import json from memcached.helper.data_helper import MemcachedClientHelper from membase.api.rest_client import RestConnection from basetestcase import BaseTestCase from couchbase_helper.document import View from couchbase_helper.documentgenerator import BlobGenerator from remote.remote_util import RemoteMachineShellConnection from testconstants import COUCHBASE_FROM_VERSION_4, COUCHBASE_FROM_MAD_HATTER class CCCP(BaseTestCase): def setUp(self): super(CCCP, self).setUp() self.map_fn = 'function (doc){emit([doc.join_yr, doc.join_mo],doc.name);}' self.ddoc_name = "cccp_ddoc" self.view_name = "cccp_view" self.default_view = View(self.view_name, self.map_fn, None, False) self.ops = self.input.param("ops", None) self.clients = {} try: for bucket in self.buckets: self.clients[bucket.name] =\ MemcachedClientHelper.direct_client(self.master, bucket.name) except: self.tearDown() def tearDown(self): super(CCCP, self).tearDown() def test_get_config_client(self): tasks = self.run_ops() for task in tasks: if self.ops != 'failover': task.result() for bucket in self.buckets: _, _, config = self.clients[bucket.name].get_config() self.verify_config(json.loads(config), bucket) def test_get_config_rest(self): tasks = self.run_ops() for task in tasks: if not task: self.fail("no task to run") if self.ops == 'failover': if not task: self.fail("Ops failover failed ") else: task.result() for bucket in self.buckets: config = RestConnection(self.master).get_bucket_CCCP(bucket) self.verify_config(config, bucket) def test_set_config(self): """ Negative test for setting bucket config. """ tasks = self.run_ops() config_expected = 'abcabc' for task in tasks: task.result() for bucket in self.buckets: try: self.clients[bucket.name].set_config(config_expected) _, _, config = self.clients[bucket.name].get_config() if econfig_expected == config: self.fail("It should not allow to set this format config ") except Exception as e: if e and not "Memcached error #4 'Invalid'" in str(e): self.fail("ns server should not allow to set this config format") def test_not_my_vbucket_config(self): self.gen_load = BlobGenerator('cccp', 'cccp-', self.value_size, end=self.num_items) self._load_all_buckets(self.master, self.gen_load, "create", 0) self.cluster.rebalance(self.servers[:self.nodes_init], self.servers[self.nodes_init:self.nodes_init + 1], []) self.nodes_init = self.nodes_init + 1 not_my_vbucket = False for bucket in self.buckets: while self.gen_load.has_next() and not not_my_vbucket: key, _ = next(self.gen_load) try: self.clients[bucket.name].get(key) except Exception as ex: self.log.info("Config in exception is correct. Bucket %s, key %s"\ % (bucket.name, key)) config = str(ex)[str(ex).find("Not my vbucket':") \ + 16 : str(ex).find("for vbucket")] if not config.endswith("}"): config += "}" if config.strip().startswith("b'{"): config = config.replace("b'{", "{") try: config = json.loads(config) except Exception as e: if "Expecting object" in str(e): config += "}" config = json.loads(config) self.verify_config(config, bucket) """ from watson, only the first error contains bucket details """ not_my_vbucket = True def verify_config(self, config_json, bucket): expected_params = ["nodeLocator", "rev", "uuid", "bucketCapabilitiesVer", "bucketCapabilities"] for param in expected_params: self.assertTrue(param in config_json, "No %s in config" % param) self.assertTrue("name" in config_json and config_json["name"] == bucket.name, "No bucket name in config") if self.cb_version[:5] in COUCHBASE_FROM_VERSION_4: self.assertTrue(len(config_json["nodesExt"]) == self.nodes_init, "Number of nodes expected %s, actual %s" % ( self.nodes_init, len(config_json["nodesExt"]))) else: self.assertTrue(len(config_json["nodes"]) == self.nodes_init, "Number of nodes expected %s, actual %s" % ( self.nodes_init, len(config_json["nodes"]))) for node in config_json["nodes"]: self.assertTrue("couchApiBase" in node and "hostname" in node, "No hostname name in config") if self.cb_version[:5] in COUCHBASE_FROM_MAD_HATTER: self.assertTrue(node["ports"]["direct"] == 11210, "ports are incorrect: %s" % node) else: self.assertTrue(node["ports"]["proxy"] == 11211 and \ node["ports"]["direct"] == 11210, "ports are incorrect: %s" % node) self.assertTrue(config_json["ddocs"]["uri"] == \ ("/pools/default/buckets/%s/ddocs" % bucket.name), "Ddocs uri is incorrect: %s " % "/pools/default/buckets/default/ddocs") self.assertTrue(config_json["vBucketServerMap"]["numReplicas"] == self.num_replicas, "Num replicas is incorrect: %s " % config_json["vBucketServerMap"]["numReplicas"]) for param in ["hashAlgorithm", "serverList", "vBucketMap"]: self.assertTrue(param in config_json["vBucketServerMap"], "%s in vBucketServerMap" % param) self.log.info("Bucket %s .Config was checked" % bucket.name) def run_ops(self): tasks = [] if not self.ops: return tasks if self.ops == 'rebalance_in': tasks.append(self.cluster.async_rebalance(self.servers[:self.nodes_init], self.servers[self.nodes_init:self.nodes_init + self.nodes_in], [])) self.nodes_init += self.nodes_in elif self.ops == 'rebalance_out': tasks.append(self.cluster.async_rebalance(self.servers[:self.nodes_init], [], self.servers[(self.nodes_init - self.nodes_out):self.nodes_init])) self.nodes_init -= self.nodes_out elif self.ops == 'failover': tasks.append(self.cluster.failover(self.servers[:self.nodes_init], self.servers[(self.nodes_init - self.nodes_out):self.nodes_init])) self.sleep(20) self.nodes_init -= self.nodes_out if self.ops == 'create_views': views_num = 10 views = self.make_default_views(self.view_name, views_num, different_map=True) tasks.extend(self.async_create_views(self.master, self.ddoc_name, views)) if self.ops == 'restart': servers_to_choose = [serv for serv in self.servers if self.master.ip != serv.ip] self.assertTrue(servers_to_choose, "There is only one node in cluster") shell = RemoteMachineShellConnection(servers_to_choose[0]) try: shell.stop_couchbase() shell.start_couchbase() finally: shell.disconnect() self.sleep(5, "Server %s is starting..." % servers_to_choose[0].ip) return tasks

2a646f38047ed355ba4f9488759d096cd8ec3b8a

py

Python

video_demo.py

PPGod95/FIDTM

b5582c5cc485496d85af2043ffd6e4266f354f3b

video_demo.py

PPGod95/FIDTM

b5582c5cc485496d85af2043ffd6e4266f354f3b

video_demo.py

PPGod95/FIDTM

b5582c5cc485496d85af2043ffd6e4266f354f3b

from __future__ import division import warnings from Networks.HR_Net.seg_hrnet import get_seg_model import torch.nn as nn import torch.nn.functional as F from torchvision import datasets, transforms import dataset import math from image import * from utils import * import logging import nni from nni.utils import merge_parameter from config import return_args, args warnings.filterwarnings('ignore') import time logger = logging.getLogger('mnist_AutoML') print(args) img_transform = transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) tensor_transform = transforms.ToTensor() def main(args): model = get_seg_model() model = nn.DataParallel(model, device_ids=[0]) model = model.cuda() if args['pre']: if os.path.isfile(args['pre']): print("=> loading checkpoint '{}'".format(args['pre'])) checkpoint = torch.load(args['pre']) model.load_state_dict(checkpoint['state_dict'], strict=False) args['start_epoch'] = checkpoint['epoch'] args['best_pred'] = checkpoint['best_prec1'] else: print("=> no checkpoint found at '{}'".format(args['pre'])) fourcc = cv2.VideoWriter_fourcc(*'XVID') #fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v') cap = cv2.VideoCapture(args['video_path']) ret, frame = cap.read() print(frame.shape) '''out video''' width = frame.shape[1] #output size height = frame.shape[0] #output size out = cv2.VideoWriter('./demo.avi', fourcc, 30, (width, height)) while True: try: ret, frame = cap.read() scale_factor = 0.5 frame = cv2.resize(frame, (0, 0), fx=scale_factor, fy=scale_factor) ori_img = frame.copy() except: print("test end") cap.release() break frame = frame.copy() image = tensor_transform(frame) image = img_transform(image).unsqueeze(0) with torch.no_grad(): d6 = model(image) count, pred_kpoint = counting(d6) point_map = generate_point_map(pred_kpoint) box_img = generate_bounding_boxes(pred_kpoint, frame) show_fidt = show_fidt_func(d6.data.cpu().numpy()) #res = np.hstack((ori_img, show_fidt, point_map, box_img)) res1 = np.hstack((ori_img, show_fidt)) res2 = np.hstack((box_img, point_map)) res = np.vstack((res1, res2)) cv2.putText(res, "Count:" + str(count), (30, 30), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2) cv2.imwrite('./demo.jpg', res) '''write in out_video''' out.write(res) print("pred:%.3f" % count) def counting(input): input_max = torch.max(input).item() keep = nn.functional.max_pool2d(input, (3, 3), stride=1, padding=1) keep = (keep == input).float() input = keep * input input[input < 100.0 / 255.0 * torch.max(input)] = 0 input[input > 0] = 1 '''negative sample''' if input_max<0.1: input = input * 0 count = int(torch.sum(input).item()) kpoint = input.data.squeeze(0).squeeze(0).cpu().numpy() return count, kpoint def generate_point_map(kpoint): rate = 1 pred_coor = np.nonzero(kpoint) point_map = np.zeros((int(kpoint.shape[0] * rate), int(kpoint.shape[1] * rate), 3), dtype="uint8") + 255 # 22 # count = len(pred_coor[0]) coord_list = [] for i in range(0, len(pred_coor[0])): h = int(pred_coor[0][i] * rate) w = int(pred_coor[1][i] * rate) coord_list.append([w, h]) cv2.circle(point_map, (w, h), 3, (0, 0, 0), -1) return point_map def generate_bounding_boxes(kpoint, Img_data): '''generate sigma''' pts = np.array(list(zip(np.nonzero(kpoint)[1], np.nonzero(kpoint)[0]))) leafsize = 2048 if pts.shape[0] > 0: # Check if there is a human presents in the frame # build kdtree tree = scipy.spatial.KDTree(pts.copy(), leafsize=leafsize) distances, locations = tree.query(pts, k=4) for index, pt in enumerate(pts): pt2d = np.zeros(kpoint.shape, dtype=np.float32) pt2d[pt[1], pt[0]] = 1. if np.sum(kpoint) > 1: sigma = (distances[index][1] + distances[index][2] + distances[index][3]) * 0.1 else: sigma = np.average(np.array(kpoint.shape)) / 2. / 2. # case: 1 point sigma = min(sigma, min(Img_data.shape[0], Img_data.shape[1]) * 0.04) if sigma < 6: t = 2 else: t = 2 Img_data = cv2.rectangle(Img_data, (int(pt[0] - sigma), int(pt[1] - sigma)), (int(pt[0] + sigma), int(pt[1] + sigma)), (0, 255, 0), t) return Img_data def show_fidt_func(input): input[input < 0] = 0 input = input[0][0] fidt_map1 = input fidt_map1 = fidt_map1 / np.max(fidt_map1) * 255 fidt_map1 = fidt_map1.astype(np.uint8) fidt_map1 = cv2.applyColorMap(fidt_map1, 2) return fidt_map1 class AverageMeter(object): """Computes and stores the average and current value""" def __init__(self): self.reset() def reset(self): self.val = 0 self.avg = 0 self.sum = 0 self.count = 0 def update(self, val, n=1): self.val = val self.sum += val * n self.count += n self.avg = self.sum / self.count if __name__ == '__main__': tuner_params = nni.get_next_parameter() logger.debug(tuner_params) params = vars(merge_parameter(return_args, tuner_params)) print(params) main(params)

8583d2cb3bdd725c34b2ba7e6a2037dcbde91c50

py

Python

Resources/Docs/Slicer useful snippets.py

ihnorton/SlicerCIP

a90ece2991b074c755b1243894b67a63d3a19419

Resources/Docs/Slicer useful snippets.py

ihnorton/SlicerCIP

a90ece2991b074c755b1243894b67a63d3a19419

Resources/Docs/Slicer useful snippets.py

ihnorton/SlicerCIP

a90ece2991b074c755b1243894b67a63d3a19419

MAIN CLASSES: - Slicer/Base/Python/slicer/util.py ==> very useful class to load volumes and other common operations (import as slicer.util) - vtk.util ==> convert vtk in numpy and viceversa (see also CIP_/CIP/Util) - ScriptedLoadableModuleTemplate ==> class that contains the default template for a new Python module - slicer.modules.volumes.logic() ==> handle volumes (events, etc.) - slicer.vtkSlicerVolumesLogic() ==> more volumes handeling - slicer.app.applicationLogic() ==> important applications general to Slicer - slicer.app.layoutManager() ==> general layout operations (ex: select a different module?) - slicer.modules.volumerendering.logic() ==> many utilites for 3D 3rendering - SlicerCIP/CIP_/CIP/SlicerUtil ==> some common utils for Slicer (expected to be extended in the future) - SlicerCIP/CIP_/CIP/Util ==> common utils specially fot volume handling: VTK<=>numpy, save nodes Some useful snippets: http://wiki.slicer.org/slicerWiki/index.php/Documentation/Nightly/Developers/Python_scripting #################################################################################### - All the scripted modules inherit from Base/QTGUI/qSlicerScriptedLoadableModule. - Every scripted module should have: - Class named like the module - Class_widget ==> gui components - Class_logic ==> class logic (optional). Shouldn't use any componentes from the gui - Class_tests ==> testing class (optional). Tests that could be run from Slicer in runtime. - enter ==> event when entering the module (in the widget) - exit ==> event when exiting the module (in the widget) - cleanup ==> free resources, stop listening to events, etc. #################################################################################### Node types: - vtkMRMLScalarVolumeNode: "raw" data - vtkImageData: "geometrical information" associated with the rendering. To get it: scalarNode.GetImageData() - slicer.util.loadVolume(path) ==> load a regular volume - slicer.util.loadLabelVolume(path) ==> load a labelmap volume - slicer.util.saveNode(node, path) ==> save a node # Is the volume a labelmap? - node.GetAttribute("LabelMap") == '1' Note: the "regular" node (both volumes and labelmaps) are vtkMRMLScalarVolumeNode - node = slicer.util.getNode(nodeName) ==> get a node loaded in the scene with its name - node = slicer.mrmlScene.GetNodeByID(id) ==> get a node loaded in the scene with its internal id - nodes = slicer.mrmlScene.GetNodesByClass('vtkMRMLScalarVolumeNode') ==> get all the nodes of type vtkMRMLScalarVolumeNode - to iterate over the nodes: nodes.InitTraversal() n = nodes.GetNextItemAsObject() or n = nodes.GetItemAsObject(0) (this would return an object of type vtkMRMLScalarVolumeNode) #################################################################################### NUMPY / VTK - slicer.util.array(node.GetName()) ==> create a numpy array that is bound to the node (the changes in the array will can be updated in the node ) - to refresh the changes in the user interface: - node.GetImageData().Modified() - SlicerUtil.refreshActiveWindows() # custom method that repaints all the visible windows #################################################################################### # General mechanism to listen to the events in a node or in the Slicer scene - slicer.mrmlScene.AddObserver(slicer.vtkMRMLScene.NodeAddedEvent, self.onNodeAdded) ==> listen to events in the scene. This does NOT return the added node (see "Observe the scene to capture a volume when it is added ") #################################################################################### # Create a new volume from scratch (adding it to the scene automatically) node = slicer.mrmlScene.CreateNodeByClass("vtkMRMLDisplayNode") slicer.mrmlScene.AddNode(node) # or #node = slicer.vtkSlicerVolumesLogic(). # Get node by name (also valid with id) n = slicer.util.getNode("12257B_INSP_STD_UIA_COPD") #################################################################################### # Clone a volume vl = slicer.modules.volumes.logic() newvol = vl.CloneVolume(slicer.mrmlScene, node, "myNode") #################################################################################### # NODE SELECTOR (FILTERED BY LABEL MAPS) self.volumeSelector = slicer.qMRMLNodeComboBox() self.volumeSelector.nodeTypes = ( "vtkMRMLScalarVolumeNode", "" ) #self.volumeSelector.addAttribute( "vtkMRMLScalarVolumeNode", "LabelMap", "1" ) deprecated. use new vtkMRMLLabelMapVolumeNode type self.volumeSelector.selectNodeUponCreation = False self.volumeSelector.addEnabled = False self.volumeSelector.noneEnabled = False self.volumeSelector.removeEnabled = False self.volumeSelector.showHidden = False self.volumeSelector.showChildNodeTypes = False self.volumeSelector.setMRMLScene( slicer.mrmlScene ) self.volumeSelector.setToolTip( "Pick the label map to edit" ) self.volumeSelectorFrame.layout().addWidget( self.volumeSelector ) .... self.volumeSelector.connect('currentNodeChanged(vtkMRMLNode*)', self.onVolumeSelected) ... selectedNode = self.volumeSelector.currentNode() self.volumeSelector.setCurrentNode(node) or setCurrentNodeID(volumeId) #################################################################################### # Select a volumnenode and a label map as the active nodes in Slicer through a selectionNode. Required for example for the Editor selectionNode = slicer.app.applicationLogic().GetSelectionNode() selectionNode.SetReferenceActiveVolumeID( self.master.GetID() ) selectionNode.SetReferenceActiveLabelVolumeID( merge.GetID() ) slicer.app.applicationLogic().PropagateVolumeSelection(0) # IMPORTANT: the layer is the type of node (background, foreground, labelmap). We can use a particular method like appLogic.PropagateForegroundVolumeSelection() NOTE: selectionNode can be used not only for volumes, but also for fiducials, ROIs, etc. #################################################################################### # use the Red slice composite node to define the active volumes """ count = slicer.mrmlScene.GetNumberOfNodesByClass('vtkMRMLSliceCompositeNode') for n in xrange(count): compNode = slicer.mrmlScene.GetNthNodeByClass(n, 'vtkMRMLSliceCompositeNode') if compNode.GetLayoutName() == layoutName: return compNode Note: vtkMRMLSliceCompositeNode has: - BackgroundVolumeID: vtkMRMLScalarVolumeNode2 - ForegroundVolumeID: (none) - LabelVolumeID: vtkMRMLScalarVolumeNode4 ######################################################################## # Clone a volume. - Direct (will keep the same name and added directly to the scene) slicer.mrmlScene.CopyNode(labelMapNode) - "Manual": logic = slicer.vtkSlicerVolumesLogic() labelMapNode = slicer.util.getNode("10270J_INSP_STD_JHU_COPD_bodyComposition") labelMapCopyNode = logic.CloneVolume(labelMapNode, "Copy_10270J_INSP_STD_JHU_COPD_bodyComposition") ######################################################################## # Invoke a Python sentence from C++: slicer.app.pythonManager().executeString("slicer.util.openAddDICOMDialog()") ######################################################################## # Observe the scene to capture a volume when it is added from functools import partial def onNodeAdded(self, caller, eventId, callData): """Node added to the Slicer scene""" if callData.GetClassName() == 'vtkMRMLAnnotationSnapshotNode': # (Generally vtkMRMLScalarVolumeNode) self.__onNodeAdded__(callData) self.onNodeAdded = partial(onNodeAdded, self) self.onNodeAdded.CallDataType = vtk.VTK_OBJECT ##################################################### # Capture the scene closed event slicer.mrmlScene.AddObserver(slicer.vtkMRMLScene.EndCloseEvent, self.__onSceneClosed__) ... def __onSceneClosed__(self, arg1, arg2): ... # IMPORTANT: all these operations must be executed in the __init__ of the Widget ...... slicer.mrmlScene.AddObserver(slicer.vtkMRMLScene.NodeAddedEvent, self.onNodeAdded) ##################################################### # Open a file for reading with open(self.csvFilePath, 'r+b') as csvfileReader: text = csvfileReader.read() # Open a file for writing with open(self.csvFilePath, 'a+b') as csvfile: csvfile.write("This is what I write") ######################################################################## # Handle user events (mouse, keyboard...) layoutManager = slicer.app.layoutManager() sliceNodeCount = slicer.mrmlScene.GetNumberOfNodesByClass('vtkMRMLSliceNode') for nodeIndex in xrange(sliceNodeCount): # find the widget for each node in scene sliceNode = slicer.mrmlScene.GetNthNodeByClass(nodeIndex, 'vtkMRMLSliceNode') sliceWidget = layoutManager.sliceWidget(sliceNode.GetLayoutName()) if sliceWidget: # add obserservers and keep track of tags interactor = sliceWidget.sliceView().interactor() self.sliceWidgetsPerStyle[style] = sliceWidget events = ("MouseMoveEvent", "EnterEvent", "LeaveEvent") # See http://www.vtk.org/doc/release/5.0/html/a01252.html for a complete list of VTK events for event in events: tag = interactor.AddObserver(event, self.processEvent, self.priority) self.observerTags.append([interactor,tag]) tag = sliceNode.AddObserver("ModifiedEvent", self.processEvent, self.priority) self.observerTags.append([sliceNode,tag]) sliceLogic = sliceWidget.sliceLogic() compositeNode = sliceLogic.GetSliceCompositeNode() tag = compositeNode.AddObserver("ModifiedEvent", self.processEvent, self.priority) self.observerTags.append([compositeNode,tag]) # To get the position of the mouse in a left click: def f(obj, event): print interactor.GetLastEventPosition() interactor.AddObserver(vtk.vtkCommand.LeftButtonPressEvent, f) ######################################################################## # Make a batch of changes in the scene and trigger just one event slicer.mrmlScene.StartState(slicer.mrmlScene.BatchProcessState) ... ... slicer.mrmlScene.EndState(slicer.mrmlScene.BatchProcessState) => triggers EndBatchProcessEvent ######################################################################## # Work with fiducials vtkMRMLMarkupsFiducialNode --> node type that stores fiducials markupsLogic = slicer.modules.markups.logic() # Add new fiducials node fiducialListNodeID = markupsLogic.AddNewFiducialNode(nodeName,slicer.mrmlScene) fiducialList = slicer.util.getNode(fiducialListNodeID) # Add fiducial position = (-6, 2.5, 100) --> RAS coordinates index = fiducialList.AddFiducial(*position) index = fiducialsNode.AddFiducial(-6, 103, -204.5, 'otro') --> alternative # Modify fiducial fiducialsNode.SetNthMarkupVisibility(1, False) --> hide fiducial # Get/set active node that will contain the fiducials originalActiveListID = markupsLogic.GetActiveListID() markupsLogic.SetActiveListID(fiducialList) # Modify visual properties of the fiducials set (example) displayNode = fiducialList.GetDisplayNode() displayNode.SetTextScale(6.) displayNode.SetGlyphScale(6.) displayNode.SetGlyphTypeFromString('StarBurst2D') displayNode.SetSelectedColor((1,1,0)) # Enabled fiducials (default) displayNode.SetColor((1,1,0.4)) # Disabled fiducials displayNode.SetVisibility(True) fiducialList.SetAttribute("AssociatedNodeID", associatedNode.GetID()) ??? # Get the position of a fiducial pos = [0,0,0] activeNode = markupsLogic.GetActiveListID() activeNode.GetNthFiducialPosition(0, pos) ==> it stores in pos the RAS coordinates # Position the 2D windows in a fiducial: logic.JumpSlicesToNthPointInMarkup(fiducialsNode.GetID(), 0, True) #################################################################################### # Set the cursor to draw fiducials # This functionaluty has been encapsulated in the SlicerUtil "setFiducialMode" method def setFiducialsMode(isFiducialsMode, keepFiducialsModeOn=False): """ Activate fiducials mode. When activateFiducials==True, the mouse cursor will be ready to add fiducials. Also, if keepFiducialsModeOn==True, then the cursor will be still in Fiducials mode until we deactivate it by calling setFiducialsMode with activateFiducials=False :param isFiducialsMode: True for "fiducials mode". False for a regular use :param keepFiducialsModeOn: when True, we can add an unlimited number of fiducials. Otherwise after adding the first fiducial we will come back to the regular state """ applicationLogic = slicer.app.applicationLogic() selectionNode = applicationLogic.GetSelectionNode() selectionNode.SetReferenceActivePlaceNodeClassName("vtkMRMLMarkupsFiducialNode") interactionNode = applicationLogic.GetInteractionNode() if isFiducialsMode: # Mouse cursor --> fiducials interactionNode.SetCurrentInteractionMode(1) # Persistence depending on if we to keep fiducials (or just one) interactionNode.SetPlaceModePersistence(keepFiducialsModeOn) else: # Regular cursor interactionNode.SetCurrentInteractionMode(2) interactionNode.SetPlaceModePersistence(False) #################################################################################### # Capture fiducials events fidListNode.AddObserver(fidNode.MarkupAddedEvent, self.onMarkupAdded) ... def onMarkupAdded(self, markupListNode, event): # Get the last added markup (there is no index in the event!) n = markupListNode.GetNumberOfFiducials() # Change the label of the last added node markupListNode.SetNthMarkupLabel(n-1, label) # NOTE: see some very useful event handling here: https://github.com/pieper/LandmarkRegistration/blob/master/RegistrationLib/Landmarks.py#L77-L115 #################################################################################### # XYZ --> RAS (in a ROI). Extracted from SlicerLongitudinalPETCTModuleViewHelper in LongitudinalPETCT Module. There are another useful functions there def getROIPositionInRAS(roi): xyz = [0.,0.,0.] if roi: roi.GetXYZ(xyz) xyz = [xyz[0],xyz[1],xyz[2],1.0] roiTransform = roi.GetParentTransformNode() if roiTransform: matrix = vtk.vtkMatrix4x4() roiTransform.GetMatrixTransformToWorld(matrix) xyz = matrix.MultiplyDoublePoint(xyz) xyz = [xyz[0],xyz[1],xyz[2]] return xyz #################################################################################### # RAS --> IJK (XYZ). Working with current slice in Axial layoutManager = slicer.app.layoutManager() redWidget = layoutManager.sliceWidget('Red') redNodeSliceNode = redWidget.sliceLogic().GetSliceNode() scalarVolumeNode = ... #redNodeSliceNode = redWidget.sliceLogic().GetLabelLayer().GetSliceNode() # Working with the labelmap (optional) # Get the current slice in RAS coordinates rasSliceOffset = redNodeSliceNode.GetSliceOffset() # Get the RAS to IJK transformation matrix to convert RAS-->IJK coordinates transformationMatrix=vtk.vtkMatrix4x4() scalarVolumeNode.GetRASToIJKMatrix(transformationMatrix) # Get the K coordinate (slice number in IJK coordinate) sliceK = transformationMatrix.MultiplyPoint([0,0,rasSliceOffset,1])[2] # Alternative way: through sliceWidget.sliceView, but it doesn't seem to work well #################################################################################### # Show a popup message in the main window qt.QMessageBox.warning(slicer.util.mainWindow(), 'My Warning', 'This is a warning message') #.information, etc. #################################################################################### # Print debug messages in console (general, not Python one) import logging logging.info('This is an info message') #################################################################################### # Create new instance of EditorWidget editorWidgetParent = slicer.qMRMLWidget() editorWidgetParent.setLayout(qt.QVBoxLayout()) editorWidgetParent.setMRMLScene(slicer.mrmlScene) editorWidgetParent.hide() self.editorWidget = EditorWidget(editorWidgetParent, False) self.editorWidget.setup() #################################################################################### # Go to a specific module m = slicer.util.mainWindow() m.moduleSelector().selectModule('ModelMaker') ### # Iterate over the different 2D windows and change opacity nodes = slicer.mrmlScene.GetNodesByClass("vtkMRMLSliceCompositeNode") # Call necessary to allow the iteration. nodes.InitTraversal() # Get the first CompositeNode (typically Red) compositeNode = nodes.GetNextItemAsObject() # Link the nodes by default while compositeNode: compositeNode.SetLinkedControl(True) compositeNode.SetLabelOpacity(0.5) # In order the structures are visible compositeNode = nodes.GetNextItemAsObject() #################################################################################### # WORKING WITH CLIs # Call the CLI parameters = {"command": command} module = slicer.modules.executesystemcommand self.commandLineModuleNode = slicer.cli.run(module, None, parameters, wait_for_completion=False) # Get the result self.commandLineModuleNode.AddObserver('ModifiedEvent', self.__onExecuteCommandCLIStateUpdated__) ... def __onExecuteCommandCLIStateUpdated__(self, caller, event): if caller.IsA('vtkMRMLCommandLineModuleNode'): if caller.GetStatusString() == "Completed": # IMPORTANT: this is not necessarily executed just once! print("CLI Process complete") # If you want to get some output values: myOutputParam = self.commandLineModuleNode.GetParameterDefault(0,1) # Get the parameter 1 in the group 0 elif caller.GetStatusString() == "Completed with errors": # IMPORTANT: this is not necessarily executed just once! print("CLI Process FAILED") # In order that parameter/s output works, we should do this in the CLI: include <fstream> .... std::ofstream writeFile (returnParameterFile.c_str()); writeFile << "output = " << valueThatIWantToReturn << std::endl; writeFile.close(); #################################################################################### # Camera node selector cameraNodeSelector = slicer.qMRMLNodeComboBox() cameraNodeSelector.objectName = 'cameraNodeSelector' cameraNodeSelector.toolTip = "Select a camera that will fly along this path." cameraNodeSelector.nodeTypes = ['vtkMRMLCameraNode'] cameraNodeSelector.noneEnabled = False cameraNodeSelector.addEnabled = False cameraNodeSelector.removeEnabled = False cameraNodeSelector.connect('currentNodeChanged(bool)', self.enableOrDisableCreateButton) cameraNodeSelector.connect('currentNodeChanged(vtkMRMLNode*)', self.setCameraNode) pathFormLayout.addRow("Camera:", cameraNodeSelector) self.parent.connect('mrmlSceneChanged(vtkMRMLScene*)', cameraNodeSelector, 'setMRMLScene(vtkMRMLScene*)') #################################################################### # Getting cursor position widget = slicer.app.layoutManager().sliceWidget('Red') interactor = widget.interactorStyle().GetInteractor() crosshairNode=slicer.util.getNode('Crosshair') from CIP.logic.SlicerUtil import SlicerUtil from CIP.logic import Util v = SlicerUtil.getFirstScalarNode() def f(arg1, arg2): coords = [0,0, 0] crosshairNode.GetCursorPositionRAS(coords) print "RAS: ", coords print "Converted:", Util.ras_to_ijk(v, coords) interactor.AddObserver("LeftButtonPressEvent", f)

f69f2c0f028a117447e65c43b39bbc23b09fac4d

py

Python

src/rosdistro/release_build_file.py

andre-rosa/rosdistro-1

62b79df2adc466ec0ea239e9210dcb26cac558ab

2017-07-05T02:49:36.000Z

2022-03-30T12:55:43.000Z

src/rosdistro/release_build_file.py

andre-rosa/rosdistro-1

62b79df2adc466ec0ea239e9210dcb26cac558ab

2015-01-09T19:45:10.000Z

2022-03-22T18:44:49.000Z

src/rosdistro/release_build_file.py

andre-rosa/rosdistro-1

62b79df2adc466ec0ea239e9210dcb26cac558ab

2017-07-04T22:03:29.000Z

2022-03-29T06:59:06.000Z

# Software License Agreement (BSD License) # # Copyright (c) 2013, Open Source Robotics Foundation, Inc. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following # disclaimer in the documentation and/or other materials provided # with the distribution. # * Neither the name of Open Source Robotics Foundation, Inc. nor # the names of its contributors may be used to endorse or promote # products derived from this software without specific prior # written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS # FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE # COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, # INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, # BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN # ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. class ReleaseBuildFile(object): _type = 'release-build' def __init__(self, name, data): self.name = name assert 'type' in data, "Expected file type is '%s'" % ReleaseBuildFile._type assert data['type'] == ReleaseBuildFile._type, "Expected file type is '%s', not '%s'" % (ReleaseBuildFile._type, data['type']) assert 'version' in data, "Release build file for '%s' lacks required version information" % self.name assert int(data['version']) == 1, "Unable to handle '%s' format version '%d', please update rosdistro (e.g. on Ubuntu/Debian use: sudo apt-get update && sudo apt-get install --only-upgrade python-rosdistro)" % (ReleaseBuildFile._type, int(data['version'])) self.version = int(data['version']) self.package_whitelist = [] if 'package_whitelist' in data: self.package_whitelist = data['package_whitelist'] assert isinstance(self.package_whitelist, list) self.package_blacklist = [] if 'package_blacklist' in data: self.package_blacklist = data['package_blacklist'] assert isinstance(self.package_blacklist, list) self.notify_emails = [] self.notify_maintainers = None self.notify_committers = None if 'notifications' in data: if 'emails' in data['notifications']: self.notify_emails = data['notifications']['emails'] assert isinstance(self.notify_emails, list) if 'maintainers' in data['notifications'] and data['notifications']['maintainers']: self.notify_maintainers = True if 'committers' in data['notifications'] and data['notifications']['committers']: self.notify_committers = True assert 'targets' in data self._targets = {} for os_name in data['targets'].keys(): if os_name == '_config': self._targets[os_name] = data['targets'][os_name] continue self._targets[os_name] = {} for os_code_name in data['targets'][os_name]: if os_code_name == '_config': self._targets[os_name][os_code_name] = data['targets'][os_name][os_code_name] continue self._targets[os_name][os_code_name] = {} for arch in data['targets'][os_name][os_code_name]: self._targets[os_name][os_code_name][arch] = data['targets'][os_name][os_code_name][arch] assert 'jenkins_url' in data self.jenkins_url = str(data['jenkins_url']) self.jenkins_sourcedeb_job_timeout = None if 'jenkins_sourcedeb_job_timeout' in data: self.jenkins_sourcedeb_job_timeout = int(data['jenkins_sourcedeb_job_timeout']) self.jenkins_binarydeb_job_timeout = None if 'jenkins_binarydeb_job_timeout' in data: self.jenkins_binarydeb_job_timeout = int(data['jenkins_binarydeb_job_timeout']) self.sync_package_count = None self.sync_packages = [] if 'sync' in data: if 'package_count' in data['sync']: self.sync_package_count = int(data['sync']['package_count']) if 'packages' in data['sync']: self.notify_maintainers = data['sync']['packages'] assert isinstance(self.sync_packages, list) def get_target_os_names(self): return [t for t in self._targets.keys() if t != '_config'] def get_target_os_code_names(self, os_name): os_code_names = self._targets[os_name] return [t for t in os_code_names.keys() if t != '_config'] def get_target_arches(self, os_name, os_code_name): arches = self._targets[os_name][os_code_name] return [t for t in arches.keys() if t != '_config'] def get_target_configuration(self, os_name=None, os_code_name=None, arch=None): assert os_code_name is not None or arch is None assert os_name is not None or os_code_name is None config = {} if '_config' in self._targets: config.update(self._targets['_config']) if os_name is not None: if '_config' in self._targets[os_name]: config.update(self._targets[os_name]['_config']) if os_code_name is not None: if '_config' in self._targets[os_name][os_code_name]: config.update(self._targets[os_name][os_code_name]['_config']) if arch is not None: if '_config' in self._targets[os_name][os_code_name][arch]: config.update(self._targets[os_name][os_code_name][arch]['_config']) return config def get_data(self): data = {} data['type'] = ReleaseBuildFile._type data['version'] = 1 if self.package_whitelist: data['package_whitelist'] = self.package_whitelist if self.package_blacklist: data['package_blacklist'] = self.package_blacklist if self.notify_emails or self.notify_maintainers or self.notify_committers: data['notifications'] = {} if self.notify_emails: data['notifications']['emails'] = self.notify_emails if self.notify_maintainers is not None: data['notifications']['maintainers'] = bool(self.notify_maintainers) if self.notify_committers is not None: data['notifications']['committers'] = bool(self.notify_committers) data['targets'] = self._targets data['jenkins_url'] = self.jenkins_url if self.jenkins_sourcedeb_job_timeout: data['jenkins_sourcedeb_job_timeout'] = self.jenkins_sourcedeb_job_timeout if self.jenkins_binarydeb_job_timeout: data['jenkins_binarydeb_job_timeout'] = self.jenkins_binarydeb_job_timeout if self.sync_package_count or self.sync_packages: data['sync'] = {} if self.sync_package_count is not None: data['sync']['package_count'] = self.sync_package_count if self.sync_packages: data['sync']['packages'] = self.sync_packages return data

5955f55736235a1a6b5886b323add5d5893e7fc6

py

Python

04_5-push_button_control_led/push_button_control_led.py

raspberrypi-tw/gpio-game-console

5319addec034dae72bf829e5873626b00b69e3d5

2016-04-17T07:23:38.000Z

2021-04-20T04:54:26.000Z

04_5-push_button_control_led/push_button_control_led.py

raspberrypi-tw/gpio-game-console

5319addec034dae72bf829e5873626b00b69e3d5

04_5-push_button_control_led/push_button_control_led.py

raspberrypi-tw/gpio-game-console

5319addec034dae72bf829e5873626b00b69e3d5

2016-05-05T04:33:06.000Z

2021-04-23T05:42:08.000Z

#!/usr/bin/python3 #+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+ #|R|a|s|p|b|e|r|r|y|P|i|.|c|o|m|.|t|w| #+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+ # Copyright (c) 2021, raspberrypi.com.tw # All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. # # push_button_control_led.py # Turn on the led when push button is pressed with interrupt way, and # de-bounces by software # # Author : sosorry # Date : 06/22/2014 import RPi.GPIO as GPIO import time GPIO.setmode(GPIO.BOARD) BTN_PIN = 11 LED_PIN = 12 WAIT_TIME = 200 status = GPIO.LOW GPIO.setup(BTN_PIN, GPIO.IN, pull_up_down=GPIO.PUD_UP) GPIO.setup(LED_PIN, GPIO.OUT, initial=status) def mycallback(channel): print("Button pressed @", time.ctime()) global status if status == GPIO.LOW: status = GPIO.HIGH else: status = GPIO.LOW GPIO.output(LED_PIN, status) try: GPIO.add_event_detect(BTN_PIN, GPIO.FALLING, callback=mycallback, bouncetime=WAIT_TIME) while True: time.sleep(10) except KeyboardInterrupt: print("Exception: KeyboardInterrupt") finally: GPIO.cleanup()

6f2ea9dbb3ec4c985239c5a6ee455f74dad8baac

py

Python

clients/python/tyckiting_client/ai/himanshu.py

HimanshuSingal/space_mission

7d032f02b6144f412e23cd012d87965f68484fea

clients/python/tyckiting_client/ai/himanshu.py

HimanshuSingal/space_mission

7d032f02b6144f412e23cd012d87965f68484fea

clients/python/tyckiting_client/ai/himanshu.py

HimanshuSingal/space_mission

7d032f02b6144f412e23cd012d87965f68484fea

import random from tyckiting_client.ai import base from tyckiting_client import actions class Ai(base.BaseAi): """ Dummy bot that moves randomly around the board. """ def respond(self, bot, events): for e in events: if e.event == "radarEcho": cannon_pos = e.pos; return actions.Cannon(bot_id=bot.bot_id, x=cannon_pos.x, y=cannon_pos.y) if e.event == "detected": valid_moves = list(self.get_valid_moves(bot)) far_moves = [] for vm in valid_moves: if abs(vm.x - bot.pos.x) > 1 or abs(vm.y - bot.pos.y) > 1: far_moves.append(vm); move_pos = random.choice(far_moves); return actions.Move(bot_id=bot.bot_id, x=move_pos.x, y=move_pos.y) radar_pos = random.choice(list(self.get_valid_radars(bot))); return actions.Radar(bot_id=bot.bot_id, x=radar_pos.x, y=radar_pos.y) def move(self, bots, events): """ Move the bot to a random legal positon. Args: bots: List of bot states for own team events: List of events form previous round Returns: List of actions to perform this round. """ response = [] for bot in bots: if not bot.alive: continue response.append(self.respond(bot, events)) return response

18fddec2ae7a32a91ffdcf9adff59458bb9b6139

py

Python

python/openapi_client/models/__init__.py

Mastercard/mcapi_oauth_encryption_tutorial

0c24f778ad57a867eefd8aad44466a49f3f89826

2019-08-15T10:48:16.000Z

2022-03-03T21:57:52.000Z

python/openapi_client/models/__init__.py

Mastercard/mcapi_oauth_encryption_tutorial

0c24f778ad57a867eefd8aad44466a49f3f89826

2019-12-30T08:36:00.000Z

2022-03-29T22:37:50.000Z

python/openapi_client/models/__init__.py

Mastercard/mcapi_oauth_encryption_tutorial

0c24f778ad57a867eefd8aad44466a49f3f89826

2019-08-14T14:27:35.000Z

2022-02-13T18:02:36.000Z

# flake8: noqa # import all models into this package # if you have many models here with many references from one model to another this may # raise a RecursionError # to avoid this, import only the models that you directly need like: # from from openapi_client.model.pet import Pet # or import this package, but before doing it, use: # import sys # sys.setrecursionlimit(n) from openapi_client.model.account_holder_data import AccountHolderData from openapi_client.model.account_holder_data_outbound import AccountHolderDataOutbound from openapi_client.model.asset_response_schema import AssetResponseSchema from openapi_client.model.authentication_methods import AuthenticationMethods from openapi_client.model.billing_address import BillingAddress from openapi_client.model.card_account_data_inbound import CardAccountDataInbound from openapi_client.model.card_account_data_outbound import CardAccountDataOutbound from openapi_client.model.decisioning_data import DecisioningData from openapi_client.model.delete_request_schema import DeleteRequestSchema from openapi_client.model.delete_response_schema import DeleteResponseSchema from openapi_client.model.encrypted_payload import EncryptedPayload from openapi_client.model.encrypted_payload_transact import EncryptedPayloadTransact from openapi_client.model.error import Error from openapi_client.model.errors_response import ErrorsResponse from openapi_client.model.funding_account_data import FundingAccountData from openapi_client.model.funding_account_info import FundingAccountInfo from openapi_client.model.funding_account_info_encrypted_payload import FundingAccountInfoEncryptedPayload from openapi_client.model.gateway_error import GatewayError from openapi_client.model.gateway_errors_response import GatewayErrorsResponse from openapi_client.model.gateway_errors_schema import GatewayErrorsSchema from openapi_client.model.get_task_status_request_schema import GetTaskStatusRequestSchema from openapi_client.model.get_task_status_response_schema import GetTaskStatusResponseSchema from openapi_client.model.get_token_request_schema import GetTokenRequestSchema from openapi_client.model.get_token_response_schema import GetTokenResponseSchema from openapi_client.model.media_content import MediaContent from openapi_client.model.notify_token_encrypted_payload import NotifyTokenEncryptedPayload from openapi_client.model.notify_token_updated_request_schema import NotifyTokenUpdatedRequestSchema from openapi_client.model.notify_token_updated_response_schema import NotifyTokenUpdatedResponseSchema from openapi_client.model.phone_number import PhoneNumber from openapi_client.model.product_config import ProductConfig from openapi_client.model.search_tokens_request_schema import SearchTokensRequestSchema from openapi_client.model.search_tokens_response_schema import SearchTokensResponseSchema from openapi_client.model.suspend_request_schema import SuspendRequestSchema from openapi_client.model.suspend_response_schema import SuspendResponseSchema from openapi_client.model.token import Token from openapi_client.model.token_detail import TokenDetail from openapi_client.model.token_detail_data import TokenDetailData from openapi_client.model.token_detail_data_get_token_only import TokenDetailDataGetTokenOnly from openapi_client.model.token_detail_data_par_only import TokenDetailDataPAROnly from openapi_client.model.token_detail_get_token_only import TokenDetailGetTokenOnly from openapi_client.model.token_detail_par_only import TokenDetailPAROnly from openapi_client.model.token_for_get_token import TokenForGetToken from openapi_client.model.token_for_lcm import TokenForLCM from openapi_client.model.token_for_ntu import TokenForNTU from openapi_client.model.token_info import TokenInfo from openapi_client.model.token_info_for_ntu_and_get_token import TokenInfoForNTUAndGetToken from openapi_client.model.tokenize_request_schema import TokenizeRequestSchema from openapi_client.model.tokenize_response_schema import TokenizeResponseSchema from openapi_client.model.transact_encrypted_data import TransactEncryptedData from openapi_client.model.transact_error import TransactError from openapi_client.model.transact_request_schema import TransactRequestSchema from openapi_client.model.transact_response_schema import TransactResponseSchema from openapi_client.model.un_suspend_request_schema import UnSuspendRequestSchema from openapi_client.model.un_suspend_response_schema import UnSuspendResponseSchema

cf7b4459e0c08b1ca6126becd13407b5cfed3ac1

py

Python

main.py

nickfullerton/BasketballStatTracker

6c321154cfc3cb51eb501edeacaf2d38b7c716e5

main.py

nickfullerton/BasketballStatTracker

6c321154cfc3cb51eb501edeacaf2d38b7c716e5

main.py

nickfullerton/BasketballStatTracker

6c321154cfc3cb51eb501edeacaf2d38b7c716e5

from src.MainMenu import * main_menu = MainMenu() main_menu.run()

7e35cf5b2efda8b13ed15df33ca283308d78efff

py

Python

lib/svtplay_dl/service/dr.py

mrcarlberg/svtplay-dl

e92ebbbcab2d529fe5dca25b5c3195b2b2fdc4e8

lib/svtplay_dl/service/dr.py

mrcarlberg/svtplay-dl

e92ebbbcab2d529fe5dca25b5c3195b2b2fdc4e8

2020-09-04T18:09:05.000Z

2020-09-04T18:09:05.000Z

lib/svtplay_dl/service/dr.py

magic75/svtplay-dl

6bde2e76bfe3a0bb57ed902055d341aec528c9f2

import copy import json import logging import re import uuid from svtplay_dl.error import ServiceError from svtplay_dl.fetcher.hls import hlsparse from svtplay_dl.service import OpenGraphThumbMixin from svtplay_dl.service import Service from svtplay_dl.subtitle import subtitle class Dr(Service, OpenGraphThumbMixin): supported_domains = ["dr.dk"] def get(self): data = self.get_urldata() match = re.search("__data = ([^<]+)</script>", data) if not match: yield ServiceError("Cant find info for this video") return janson = json.loads(match.group(1)) page = janson["cache"]["page"][list(janson["cache"]["page"].keys())[0]] offers = page["entries"][0]["item"]["offers"] resolution = None vid = None for i in offers: if i["deliveryType"] == "Stream": vid = i["scopes"][0] resolution = i["resolution"] deviceid = uuid.uuid1() res = self.http.request( "post", "https://isl.dr-massive.com/api/authorization/anonymous-sso?device=web_browser&ff=idp%2Cldp&lang=da", json={"deviceId": str(deviceid), "scopes": ["Catalog"], "optout": True}, ) token = res.json()[0]["value"] url = "https://isl.dr-massive.com/api/account/items/{}/videos?delivery=stream&device=web_browser&ff=idp%2Cldp&lang=da&resolution={}&sub=Anonymous".format( vid, resolution ) res = self.http.request("get", url, headers={"authorization": "Bearer {}".format(token)}) for video in res.json(): if video["accessService"] == "StandardVideo": if video["format"] == "video/hls": res = self.http.request("get", video["url"]) if res.status_code > 400: yield ServiceError("Can't play this because the video is geoblocked or not available.") else: streams = hlsparse(self.config, res, video["url"], output=self.output) for n in list(streams.keys()): yield streams[n] yield subtitle(copy.copy(self.config), "wrst", video["subtitles"][0]["link"], output=self.output) def find_all_episodes(self, config): episodes = [] data = self.get_urldata() match = re.search("__data = ([^<]+)</script>", data) if not match: logging.error("Can't find video info.") return episodes janson = json.loads(match.group(1)) page = janson["cache"]["page"][list(janson["cache"]["page"].keys())[0]] item = page["entries"][0]["item"] if "season" in item: entries = item["season"]["episodes"]["items"] for i in entries: episodes.append("https://www.dr.dk/drtv{}".format(i["watchPath"])) if config.get("all_last") != -1: episodes = episodes[: config.get("all_last")] else: episodes.reverse() return episodes

1eb6832a283b007ce139b21be137fc3c4baaec6f

py

Python

setting.py

ankworld/Rpi_Therapy

e6fa454098a3947d29e469b4bbacb26fe322552f

setting.py

ankworld/Rpi_Therapy

e6fa454098a3947d29e469b4bbacb26fe322552f

setting.py

ankworld/Rpi_Therapy

e6fa454098a3947d29e469b4bbacb26fe322552f

import sys import configparser import re import os from PyQt5.QtWidgets import QApplication, QMainWindow, QLineEdit, QGroupBox from ui import controlpanel class Config(object): def __init__(self): self.path = os.path.dirname(os.path.abspath(__file__)) self.list_of_value = [] def write_config_file(self, section, options): cfg = configparser.ConfigParser() cfg.read(self.path + '/config/motor.ini') cfg[section] = {} cfg[section]['high_pin'] = options[0] cfg[section]['low_pin'] = options[1] cfg[section]['freq'] = options[2] with open(self.path + '/config/motor.ini', 'w') as configfile: cfg.write(configfile) def write_config_sensor(self, section, options): cfg = configparser.ConfigParser() cfg.read(self.path + '/config/sensor.ini') cfg[section] = {} cfg[section]['input_1'] = options[0] cfg[section]['input_2'] = options[1] cfg[section]['input_3'] = options[2] cfg[section]['input_4'] = options[3] cfg[section]['input_5'] = options[4] cfg[section]['input_6'] = options[5] with open(self.path + '/config/sensor.ini', 'w') as configfile: cfg.write(configfile) def read_config_file(self, section): self.list_of_value = [] cfg = configparser.ConfigParser() cfg.read(self.path + '/config/motor.ini') try: for option in cfg[section].values(): if option != "": self.list_of_value.append(int(float(option))) else: self.list_of_value.append(0) except KeyError: pass return self.list_of_value def read_config_sensor(self, section): self.list_of_value = [] cfg = configparser.ConfigParser() cfg.read(self.path + '/config/sensor.ini') try: for option in cfg[section].values(): if option != "": self.list_of_value.append(int(float(option))) else: self.list_of_value.append(0) except KeyError: pass return self.list_of_value class Ui(object): def __init__(self): self.list_used_pin = [] self.high_pin = 0 self.low_pin = 0 self.freq = 0 self.window = QMainWindow() self.uic = controlpanel.Ui_ControlPanelMW() self.uic.setupUi(self.window) self.load() self.uic.saveMotor1.clicked.connect(self.save) self.uic.saveMotor2.clicked.connect(self.save) self.uic.saveSensor.clicked.connect(self.save_sensor) self.uic.saveAll.clicked.connect(self.save_all) self.uic.loadAll.clicked.connect(self.load) self.window.show() def unique_pin(self): self.list_used_pin = [] self.list_used_pin.append(self.uic.highPinM1.text()) self.list_used_pin.append(self.uic.highPinM2.text()) self.list_used_pin.append(self.uic.lowPinM1.text()) self.list_used_pin.append(self.uic.lowPinM2.text()) self.list_used_pin.append(self.uic.input1.text()) self.list_used_pin.append(self.uic.input2.text()) self.list_used_pin.append(self.uic.input3.text()) self.list_used_pin.append(self.uic.input4.text()) self.list_used_pin.append(self.uic.input5.text()) self.list_used_pin.append(self.uic.input6.text()) print(len(self.list_used_pin)) print(len(set(self.list_used_pin))) if len(self.list_used_pin) > len(set(self.list_used_pin)): msg = QMessageBox() msg.setIcon(QMessageBox.Critical) msg.setText("Error : Duplicate Pin") msg.setWindowTitle("Error") msg.setStandardButtons(QMessageBox.Ok) msg.exec_() return False else: return True def save(self): if self.unique_pin(): sender = self.window.sender() list_of_line_edit = sender.parent().findChildren(QLineEdit) section = sender.parent().title() for item in list_of_line_edit: reg_name = re.sub(r'\w\d', r'', item.objectName()) if reg_name == "highPin": self.high_pin = item.text() elif reg_name == "lowPin": self.low_pin = item.text() elif reg_name == "freqPin": self.freq = item.text() list_of_pin = [self.high_pin, self.low_pin, self.freq] Config().write_config_file(section, list_of_pin) def save_sensor(self): if self.unique_pin(): section = "Sensor" list_of_input = [self.uic.input1.text(), self.uic.input2.text(), self.uic.input3.text(), self.uic.input4.text(), self.uic.input5.text(), self.uic.input6.text()] Config().write_config_sensor(section, list_of_input) def load(self): name_gb = [] for gb in self.uic.centralwidget.findChildren(QGroupBox): name_gb.append(gb.objectName()) name_gb.sort() i = 0 sorted_gb = [] while i < 2: for gb in self.uic.centralwidget.findChildren(QGroupBox): if gb.objectName() == name_gb[i]: sorted_gb.append(gb) i += 1 break section = "" for i in range(2): section = "Motor " + str(i + 1) value = Config().read_config_file(section) if len(value) == 0: pass else: gb = sorted_gb[i] list_of_line_edit = gb.findChildren(QLineEdit) for item in list_of_line_edit: reg_name = re.sub(r'\w\d', r'', item.objectName()) if reg_name == "highPin": item.setText(str(value[0])) elif reg_name == "lowPin": item.setText(str(value[1])) elif reg_name == "freqPin": item.setText(str(value[2])) ########################################################################## # Load to sensor section section = "Sensor" value = Config().read_config_sensor(section) if len(value) == 0: pass else: self.uic.input1.setText(str(value[0])) self.uic.input2.setText(str(value[1])) self.uic.input3.setText(str(value[2])) self.uic.input4.setText(str(value[3])) self.uic.input5.setText(str(value[4])) self.uic.input6.setText(str(value[5])) def save_all(self): self.uic.saveMotor1.click() self.uic.saveMotor2.click() self.uic.saveSensor.click() if __name__ == "__main__": app = QApplication(sys.argv) app.setStyle("fusion") ex = Ui() sys.exit(app.exec_())

391ec6b8f1f979e196436b05bf9f617179fc62e8

py

Python

py4cytoscape/__init__.py

bdemchak/PyCy3

4058e41689c78304812b1e6fd8371d797cbb6b5b

2020-02-10T12:50:35.000Z

2020-02-10T12:50:35.000Z

py4cytoscape/__init__.py

bdemchak/PyCy3

4058e41689c78304812b1e6fd8371d797cbb6b5b

2020-02-14T21:19:27.000Z

2020-04-21T21:30:26.000Z

py4cytoscape/__init__.py

bdemchak/PyCy3

4058e41689c78304812b1e6fd8371d797cbb6b5b

2020-02-10T17:16:17.000Z

2020-02-10T17:16:17.000Z

# -*- coding:utf-8 -*- """ Interface for Py4Cytoscape. """ """Copyright 2020 The Cytoscape Consortium Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ from .networks import * from .session import * from .layouts import * from .network_selection import * from .tables import * from .commands import * from .cytoscape_system import * from .apps import * from .collections import * from .filters import * from .groups import * from .tools import * from .user_interface import * from .network_views import * from .styles import * from .style_mappings import * from .style_auto_mappings import * from .style_defaults import * from .style_values import * from .style_dependencies import * from .style_bypasses import * from .py4cytoscape_utils import * from .cy_ndex import * from .decorators import * from .py4cytoscape_notebook import get_browser_client_js, get_browser_client_channel, get_jupyter_bridge_url, get_notebook_is_running, set_notebook_is_running from .py4cytoscape_logger import set_summary_logger from .sandbox import * from .py4cytoscape_sandbox import * from .py4cytoscape_tuning import set_catchup_filter_secs, set_catchup_network_secs, set_model_propagation_secs from ._version import __version__ from .notebook import * from .annotations import * # Note that we have tried to enforce documentation standards for modules and private functions per: # https://www.python.org/dev/peps/pep-0257/ and https://www.python.org/dev/peps/pep-0008/#comments # https://google.github.io/styleguide/pyguide.html # TODO: Remember to set __all__ to enumerate what modules are exported from this package. Do this at the module level, too, for functions ... consider using a decorator to fill the __all__ per https://stackoverflow.com/questions/44834/can-someone-explain-all-in-python # TODO: Add type hints per https://www.python.org/dev/peps/pep-0484/ for all functions # TODO: Remember to execute pylint: https://stackoverflow.com/questions/38134086/how-to-run-pylint-with-pycharm # Note that use of "import" statement project wide per advice of: # https://stackoverflow.com/questions/44834/can-someone-explain-all-in-python # http://effbot.org/zone/import-confusion.htm

566ba87d23782110e61a2b1fe550c5f8534aed46

py

Python

sciapp/action/advanced/filter.py

pengguanjun/imagepy

d96ef98c2c3e93d368131fd2753bce164e1247cd

2020-08-17T04:18:35.000Z

2020-08-17T04:18:35.000Z

sciapp/action/advanced/filter.py

pengguanjun/imagepy

d96ef98c2c3e93d368131fd2753bce164e1247cd

sciapp/action/advanced/filter.py

pengguanjun/imagepy

d96ef98c2c3e93d368131fd2753bce164e1247cd

# -*- coding: utf-8 -*- """ Created on Fri Dec 2 23:48:33 2016 @author: yxl """ import threading import numpy as np from time import time, sleep def process_channels(plg, ips, src, des, para): if ips.channels>1 and not 'not_channel' in plg.note: for i in range(ips.channels): rst = plg.run(ips, src if src is None else src[:,:,i], des[:,:,i], para) if not rst is des and not rst is None: des[:,:,i] = rst else: rst = plg.run(ips, src, des, para) if not rst is des and not rst is None: des[:] = rst return des def process_one(plg, ips, src, img, para, callafter=None): plg.app.add_task(plg) start = time() transint = '2int' in plg.note and ips.dtype in (np.uint8, np.uint16) transfloat = '2float' in plg.note and not ips.dtype in (np.complex128, np.float32, np.float64) if transint: buf = img.astype(np.int32) src = src.astype(np.int32) if transfloat: buf = img.astype(np.float32) src = src.astype(np.float32) rst = process_channels(plg, ips, src, buf if transint or transfloat else img, para) if not img is rst and not rst is None: imgrange = {np.uint8:(0,255), np.uint16:(0, 65535)}[img.dtype.type] np.clip(rst, imgrange[0], imgrange[1], out=img) if 'auto_msk' in plg.note and not ips.mask('out') is None: msk = ips.mask('out') img[msk] = src[msk] plg.app.info('%s: cost %.3fs'%(ips.title, time()-start)) ips.update() plg.app.remove_task(plg) if not callafter is None:callafter() def process_stack(plg, ips, src, imgs, para, callafter=None): plg.app.add_task(plg) start = time() transint = '2int' in plg.note and ips.dtype in (np.uint8, np.uint16) transfloat = '2float' in plg.note and not ips.dtype in (np.complex128, np.float32, np.float64) if transint: buf = imgs[0].astype(np.int32) src = src.astype(np.int32) elif transfloat: buf = imgs[0].astype(np.float32) src = src.astype(np.float32) else: src = src * 1 for i,n in zip(imgs,list(range(len(imgs)))): #sleep(0.5) plg.progress(n, len(imgs)) if 'auto_snap' in plg.note : src[:] = i if transint or transfloat: buf[:] = i rst = process_channels(plg, ips, src, buf if transint or transfloat else i, para) if not i is rst and not rst is None: imgrange = {np.uint8:(0,255), np.uint16:(0,65535)}[i.dtype.type] np.clip(rst, imgrange[0], imgrange[1], out=i) if 'auto_msk' in plg.note and not ips.mask() is None: msk = ips.mask('out') i[msk] = src[msk] plg.app.info('%s: cost %.3fs'%(ips.title, time()-start)) ips.update() plg.app.remove_task(plg) if not callafter is None:callafter() class Filter: title = 'Filter' modal = True note = [] 'all, 8-bit, 16-bit, int, rgb, float, not_channel, not_slice, req_roi, auto_snap, auto_msk, preview, 2int, 2float' para = None view = None prgs = None def __init__(self, ips=None): pass def progress(self, i, n): self.prgs = int(i*100/n) def show(self): preview = lambda para, ips=self.ips: self.preview(ips, para) or ips.update() return self.app.show_para(self.title, self.view, self.para, preview, on_ok=lambda : self.ok(self.ips), on_help=self.on_help, on_cancel=lambda : self.cancel(self.ips) or self.ips.update(), preview='preview' in self.note, modal=self.modal) def run(self, ips, snap, img, para = None): return 255-img def check(self, ips): note = self.note if ips == None: return self.app.alert('No image opened!') return False elif 'req_roi' in note and ips.roi == None: return self.app.alert('No Roi found!') elif not 'all' in note: if ips.dtype==np.uint8 and ips.channels==3 and not 'rgb' in note: return self.app.alert('Do not surport rgb image') elif ips.dtype==np.uint8 and ips.channels==1 and not '8-bit' in note: return self.app.alert('Do not surport 8-bit image') elif ips.dtype==np.uint16 and not '16-bit' in note: return self.app.alert('Do not surport 16-bit uint image') elif ips.dtype in [np.int32, np.int64] and not 'int' in note: return self.app.alert('Do not surport int image') elif ips.dtype in [np.float32, np.float64] and not 'float' in note: return self.app.alert('Do not surport float image') return True def preview(self, ips, para): process_one(self, ips, ips.snap, ips.img, para, None) def load(self, ips):return True def ok(self, ips, para=None, callafter=None): if para == None: para = self.para if not 'not_slice' in self.note and ips.slices>1: if para == None:para = {} if para!=None and 'stack' in para:del para['stack'] # = WidgetsManager.getref('Macros Recorder') if ips.slices==1 or 'not_slice' in self.note: # process_one(self, ips, ips.snap, ips.img, para) threading.Thread(target = process_one, args = (self, ips, ips.snap, ips.img, para, callafter)).start() # if win!=None: win.write('{}>{}'.format(self.title, para)) self.app.record_macros('{}>{}'.format(self.title, para)) elif ips.slices>1: has, rst = 'stack' in para, None if not has: rst = self.app.yes_no('Run every slice in current stacks?') if 'auto_snap' in self.note and self.modal:ips.reset() if has and para['stack'] or rst == 'yes': para['stack'] = True #process_stack(self, ips, ips.snap, ips.imgs, para) threading.Thread(target = process_stack, args = (self, ips, ips.snap, ips.imgs, para, callafter)).start() self.app.record_macros('{}>{}'.format(self.title, para)) elif has and not para['stack'] or rst == 'no': para['stack'] = False #process_one(self, ips, ips.snap, ips.img, para) threading.Thread(target = process_one, args = (self, ips, ips.snap, ips.img, para, callafter)).start() self.app.record_macros('{}>{}'.format(self.title, para)) elif rst == 'cancel': pass #ips.update() def on_help(self): self.app.show_md(self.__doc__ or 'No Document!', self.title) def cancel(self, ips): if 'auto_snap' in self.note: ips.img[:] = ips.snap ips.update() def start(self, app, para=None, callafter=None): self.app, self.ips = app, app.get_img() if not self.check(self.ips):return if not self.load(self.ips):return if 'auto_snap' in self.note:self.ips.snapshot() if para!=None: self.ok(self.ips, para, callafter) elif self.view==None: if not self.__class__.show is Filter.show: if self.show(): self.ok(self.ips, para, callafter) else: self.ok(self.ips, para, callafter) elif self.modal: if self.show(): self.ok(self.ips, None, callafter) else:self.cancel(self.ips) else: self.show() def __del__(self): print('filter del')

c982a3d5f6ee85d7ca9294af3f91099f83ded903

py

Python

tests/contracts/interop/test_binary.py

ixje/neo-mamba

8b8a7bf2e600f89b91caff253f25c1c8afee6c0a

tests/contracts/interop/test_binary.py

ixje/neo-mamba

8b8a7bf2e600f89b91caff253f25c1c8afee6c0a

tests/contracts/interop/test_binary.py

ixje/neo-mamba

8b8a7bf2e600f89b91caff253f25c1c8afee6c0a

2021-05-12T08:23:33.000Z

2021-05-12T08:23:33.000Z

import unittest from neo3 import vm from .utils import test_engine class BinaryInteropTestCase(unittest.TestCase): def test_serialization(self): engine = test_engine() engine.push(vm.IntegerStackItem(100)) engine.invoke_syscall_by_name("System.Binary.Serialize") item = engine.pop() self.assertIsInstance(item, vm.ByteStringStackItem) self.assertEqual(b'\x21\x01\x64', item.to_array()) # Create an item with data larger than engine.MAX_ITEM_SIZE # this should fail in the BinarySerializer class engine.push(vm.ByteStringStackItem(b'\x01' * (1024 * 1024 * 2))) with self.assertRaises(ValueError) as context: engine.invoke_syscall_by_name("System.Binary.Serialize") self.assertEqual("Output length exceeds max size", str(context.exception)) def test_deserialization(self): engine = test_engine() original_item = vm.IntegerStackItem(100) engine.push(original_item) engine.invoke_syscall_by_name("System.Binary.Serialize") engine.invoke_syscall_by_name("System.Binary.Deserialize") item = engine.pop() self.assertEqual(original_item, item) engine.push(vm.ByteStringStackItem(b'\xfa\x01')) with self.assertRaises(ValueError) as context: engine.invoke_syscall_by_name("System.Binary.Deserialize") self.assertEqual("Invalid format", str(context.exception)) def test_base64(self): engine = test_engine() original_item = vm.IntegerStackItem(100) engine.push(original_item) engine.invoke_syscall_by_name("System.Binary.Base64Encode") item = engine.pop() self.assertEqual('ZA==', item.to_array().decode()) engine.push(item) engine.invoke_syscall_by_name("System.Binary.Base64Decode") item = engine.pop() self.assertEqual(original_item, vm.IntegerStackItem(item.to_array()))

6ab814b828aca9f4c81ee16d30f8613398ab4672

py

Python

Python/problem0973.py

1050669722/LeetCode-Answers

c8f4d1ccaac09cda63b60d75144335347b06dc81

Python/problem0973.py

1050669722/LeetCode-Answers

c8f4d1ccaac09cda63b60d75144335347b06dc81

Python/problem0973.py

1050669722/LeetCode-Answers

c8f4d1ccaac09cda63b60d75144335347b06dc81

class Solution: def kClosest(self, points: List[List[int]], K: int) -> List[List[int]]: for List in points: List.append(List[0]**2 + List[1]**2) points.sort(key=lambda x: x[2]) return [List[:2] for List in points[:K]]

2faa6c41c51583d9e01fb780bcfc3176e857571f

py

Python

newsTraining.py

iprashant2402/newsquoo-backend-python

fef21eefdb1160c3728067706798cc8020c08eb8

newsTraining.py

iprashant2402/newsquoo-backend-python

fef21eefdb1160c3728067706798cc8020c08eb8

newsTraining.py

iprashant2402/newsquoo-backend-python

fef21eefdb1160c3728067706798cc8020c08eb8

import sys import numpy as np import pandas as pd import pickle from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.metrics.pairwise import linear_kernel from sklearn.cluster import MiniBatchKMeans import nltk from nltk import pos_tag from nltk.stem import PorterStemmer from nltk import word_tokenize import re nltk.download('punkt') nltk.download('averaged_perceptron_tagger') import json X = pd.read_json("./dataset/news_data.json",orient="records") X = X[pd.isna(X['title'])==False] X = X[pd.isna(X['content'])==False] stemmer = PorterStemmer() tokenizer = nltk.data.load('tokenizers/punkt/english.pickle') progress = 0 def stem(x): dirty = word_tokenize(x) tokens = [] for word in dirty: if word.strip('.') == '': pass elif re.search(r'\d{1,}', word): pass else: tokens.append(word.strip('.')) global start global progress tokens = pos_tag(tokens) # progress += 1 stems = ' '.join(stemmer.stem(key.lower()) for key, value in tokens if value != 'NNP') #getting rid of proper nouns # end = time.time() # sys.stdout.write('\r {} percent, {} position, {} per second '.format(str(float(progress / len(articles))), # str(progress), (1 / (end - start)))) #lets us see how much time is left # start = time.time() return stems X['content'].dropna(inplace=True) X['stems'] = X['content'].apply(lambda x: stem(x)) print(X.info()) text_content = X['stems'] vector = TfidfVectorizer(max_df=0.3, min_df=8, stop_words='english', lowercase=True, use_idf=True, norm=u'l2', smooth_idf=True ) tfidf = vector.fit_transform(text_content) pickle.dump(X, open('output/X', 'wb')) pickle.dump(vector, open('output/vector', 'wb')) pickle.dump(tfidf, open('output/tfidf', 'wb')) updated_news_data = X.to_json("dataset/filtered_news_data.json", orient="records")

6e911194b8ebce71e32f62a68bd4c2a3f652a9e3

py

Python

plotly/validators/candlestick/increasing/__init__.py

piyush1301/plotly.py

50cd5c4cd4732042422751c7760acbab8dd8a50d

2019-05-03T02:12:04.000Z

2020-03-01T06:33:21.000Z

plotly/validators/candlestick/increasing/__init__.py

piyush1301/plotly.py

50cd5c4cd4732042422751c7760acbab8dd8a50d

plotly/validators/candlestick/increasing/__init__.py

piyush1301/plotly.py

50cd5c4cd4732042422751c7760acbab8dd8a50d

2019-05-18T16:50:11.000Z

2021-07-06T21:14:36.000Z

import _plotly_utils.basevalidators class LineValidator(_plotly_utils.basevalidators.CompoundValidator): def __init__( self, plotly_name='line', parent_name='candlestick.increasing', **kwargs ): super(LineValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, data_class_str=kwargs.pop('data_class_str', 'Line'), data_docs=kwargs.pop( 'data_docs', """ color Sets the color of line bounding the box(es). width Sets the width (in px) of line bounding the box(es). """ ), **kwargs ) import _plotly_utils.basevalidators class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator): def __init__( self, plotly_name='fillcolor', parent_name='candlestick.increasing', **kwargs ): super(FillcolorValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, anim=kwargs.pop('anim', True), edit_type=kwargs.pop('edit_type', 'style'), role=kwargs.pop('role', 'style'), **kwargs )

431d08f7cce35b68a7023500e1daf247533a5693

py

Python

no_agent2/policy_learner.py

songaal/rltrader

4aac8085dda1a58fbf30a313f2a4608398c971a3

2020-06-13T07:18:10.000Z

2020-11-03T03:46:40.000Z

no_agent2/policy_learner.py

songaal/rltrader

4aac8085dda1a58fbf30a313f2a4608398c971a3

no_agent2/policy_learner.py

songaal/rltrader

4aac8085dda1a58fbf30a313f2a4608398c971a3

2020-05-16T08:41:29.000Z

2020-05-16T08:41:29.000Z

import os import locale import logging import numpy as np from keras.datasets import mnist from no_agent2.policy_network import PolicyNetwork logger = logging.getLogger(__name__) locale.setlocale(locale.LC_ALL, 'ko_KR.UTF-8') class PolicyLearner: def __init__(self, symbol, x_train, lr=0.01): self.symbol = symbol self.x_train = x_train # 학습 데이터 self.num_features = self.x_train.shape self.policy_network = PolicyNetwork(input_dim=self.num_features, lr=lr) def fit(self, x_train, y_train, x_test, y_test, num_epoches=1000, batch_size=10, model_path=None): self.policy_network.fit(x_train=x_train, y_train=y_train, epochs=num_epoches, batch_size=batch_size, x_test=x_test, y_test=y_test, model_path=model_path) def trade(self, x, model_path=None): if model_path is None: return self.policy_network.load_model(model_path=model_path) return self.policy_network.predict(x)

87944611299ba09a1ec38453ec010641f3125d31

py

Python

main.py

msidolphin/JobboleArticleSpider

e7d4ff4db03934baa65ebe90c5762ffd8c709f9d

main.py

msidolphin/JobboleArticleSpider

e7d4ff4db03934baa65ebe90c5762ffd8c709f9d

main.py

msidolphin/JobboleArticleSpider

e7d4ff4db03934baa65ebe90c5762ffd8c709f9d

# -*- coding: utf-8 -*- __author__ = "msidolphin" from scrapy.cmdline import execute import sys import os ''' sys.path.append("...") : 当我们导入某个模块时，当我们导入一个模块时： import xxx，默认情况下python解析器会搜索当前目录、已安装的内置模块和第三方模块，搜索路径存放在sys模块的path中 该路径已经添加到系统的环境变量了，当我们要添加自己的搜索目录时，可以通过列表的append()方法 可以将该路径写死，可以一旦目录改变了，就会出问题 ''' sys.path.append(os.path.dirname(os.path.abspath(__file__))) # print(os.path.dirname(os.path.abspath(__file__))) # 获取main.py目录的绝对路径 F:\pySpider\ArticleSpider execute(["scrapy", "crawl", "jobbole"]) # 配置scrapy 命令 相当于在命令行中使用scrapy crawl jobbole 命令启动一个爬虫 # 这样就在pycharm中调试scrapy了

c62211be52a52394be820e038b68f6f9e48d8f51

py

Python

ipsumminer/node.py

zawoad/ipsum-miner

eb9b72ef7048c3fbf9f4a106578ee58312713c68

2017-03-08T21:20:16.000Z

2017-03-08T21:20:16.000Z

ipsumminer/node.py

zawoad/ipsum-miner

eb9b72ef7048c3fbf9f4a106578ee58312713c68

ipsumminer/node.py

zawoad/ipsum-miner

eb9b72ef7048c3fbf9f4a106578ee58312713c68

import logging import requests import bs4 # we use bs4 to parse the HTML page from minemeld.ft.basepoller import BasePollerFT LOG = logging.getLogger(__name__) class Miner(BasePollerFT): def configure(self): super(Miner, self).configure() self.polling_timeout = self.config.get('polling_timeout', 3600) self.verify_cert = self.config.get('verify_cert', False) self.url = 'https://raw.githubusercontent.com/stamparm/ipsum/master/ipsum.txt' def _build_iterator(self, item): # builds the request and retrieves the page rkwargs = dict( stream=False, verify=self.verify_cert, timeout=self.polling_timeout ) r = requests.get( self.url, **rkwargs ) try: r.raise_for_status() except: LOG.debug('%s - exception in request: %s %s', self.name, r.status_code, r.content) raise # parse the page con = r.text.decode('utf-8') lines = con.split("\n") result = [] for s in lines: if s.startswith("#") == False: result.append(s) return result def _process_item(self, item): arr = item.split("\t") if len(arr) < 1: LOG.error('%s - no data-context-item-id attribute', self.name) return [] indicator = arr[0] value = { 'type': 'IPv4', 'confidence': 50 } return [[indicator, value]]

a8b0d5d1bfbaf09ae893f501dd9093127864a3fa

py

Python

shops/cushine.py

ikp4success/shopasource

9a9ed5c58a8b37b6ff169b45f7fdfcb44809fd88

2019-12-04T07:08:55.000Z

2020-12-08T01:38:46.000Z

shops/cushine.py

ikp4success/shopasource

9a9ed5c58a8b37b6ff169b45f7fdfcb44809fd88

shops/cushine.py

ikp4success/shopasource

9a9ed5c58a8b37b6ff169b45f7fdfcb44809fd88

from shops.shop_base import ShopBase class Cushine(ShopBase): name = "CUSHINE" _search_keyword = None def parse_results(self, response): json_data = self.safe_json(response.text) t_data = self.safe_grab(json_data, ["response", "docs"], default=[]) for item in t_data: title = self.safe_grab(item, ["name"]) image_url = self.safe_grab(item, ["image_varchar"])[0] url = self.safe_grab(item, ["url"]) description = self.safe_grab(item, ["description"]) price = self.safe_grab(item, ["final_price"]) yield self.generate_result_meta( shop_link=url, image_url=image_url, shop_name=self.name, price=price, title=title, searched_keyword=self._search_keyword, content_description=description, )

d4d113b3fa96c52c9d17ef0d6445b00912580b01

py

Python

share/smack/svcomp/utils.py

jjgarzella/smack

1458fa20de42af69b40b09de00256c799574ca52

share/smack/svcomp/utils.py

jjgarzella/smack

1458fa20de42af69b40b09de00256c799574ca52

share/smack/svcomp/utils.py

jjgarzella/smack

1458fa20de42af69b40b09de00256c799574ca52

import os import re import sys import subprocess import time from shutil import copyfile import smack.top import filters from toSVCOMPformat import smackJsonToXmlGraph from random_testing import random_test def svcomp_frontend(args): """Generate Boogie code from SVCOMP-style C-language source(s).""" # enable static LLVM unroll pass args.static_unroll = True # disable dynamic execution args.execute = False if len(args.input_files) > 1: raise RuntimeError("Expected a single SVCOMP input file.") # check svcomp properties and set flags accordingly svcomp_check_property(args) # fix: disable float filter for memory safety benchmarks if not args.memory_safety: # test bv and executable benchmarks file_type, executable = filters.svcomp_filter(args.input_files[0]) if file_type == 'bitvector': args.bit_precise = True args.bit_precise_pointers = True if file_type == 'float' and not args.signed_integer_overflow: #sys.exit(smack.top.results(args)['unknown']) args.float = True args.bit_precise = True args.bit_precise_pointers = True #args.verifier = 'boogie' args.time_limit = 1000 args.unroll = 100 args.execute = executable else: with open(args.input_files[0], "r") as sf: sc = sf.read() if 'unsigned char b:2' in sc or "4294967294u" in sc: args.bit_precise = True #args.bit_precise_pointers = True name, ext = os.path.splitext(os.path.basename(args.input_files[0])) svcomp_process_file(args, name, ext) args.clang_options += " -DSVCOMP" args.clang_options += " -DAVOID_NAME_CONFLICTS" args.clang_options += " -DCUSTOM_VERIFIER_ASSERT" args.clang_options += " -DNO_FORALL" args.clang_options += " -DDISABLE_PTHREAD_ASSERTS" args.clang_options += " -include smack.h" if os.path.splitext(args.input_files[0])[1] == ".i": # Ensure clang runs the preprocessor, even with .i extension. args.clang_options += " -x c" smack.top.clang_frontend(args) def svcomp_check_property(args): # Check if property is vanilla reachability, and return unknown otherwise if args.svcomp_property: with open(args.svcomp_property, "r") as f: prop = f.read() if "valid-deref" in prop: args.memory_safety = True elif "overflow" in prop: args.signed_integer_overflow = True elif not "__VERIFIER_error" in prop: sys.exit(smack.top.results(args)['unknown']) def svcomp_process_file(args, name, ext): args.orig_files = list(args.input_files) with open(args.input_files[0], 'r') as fi: s = fi.read() args.input_files[0] = smack.top.temporary_file(name, ext, args) # replace exit definition with exit_ s = re.sub(r'void\s+exit\s*\(int s\)', r'void exit_(int s)', s) if not ('direc_start' in s or 'just_echo' in s): s = re.sub(r'argv\[i\]=malloc\(11\);\s+argv\[i\]\[10\]\s+=\s+0;\s+for\(int\s+j=0;\s+j<10;\s+\+\+j\)\s+argv\[i\]\[j\]=__VERIFIER_nondet_char\(\);', r'argv[i] = malloc(3);\n argv[i][0] = __VERIFIER_nondet_char();\n argv[i][1] = __VERIFIER_nondet_char();\n argv[i][2] = 0;', s) s = re.sub(r'char\s+\*a\s+=\s+malloc\(11\);\s+a\[10\]\s+=\s+0;\s+for\(int\s+i=0;\s+i<10;\s+\+\+i\)\s+a\[i\]=__VERIFIER_nondet_char\(\);', r'char *a = malloc(3);\n a[0] = __VERIFIER_nondet_char();\n a[1] = __VERIFIER_nondet_char();\n a[2] = 0;', s) s = re.sub(r'static\s+char\s+dir\[42\];\s+for\(int\s+i=0;\s+i<42;\s+\+\+i\)\s+dir\[i\]\s+=\s+__VERIFIER_nondet_char\(\);\s+dir\[41\]\s+=\s+\'\\0\';', r'static char dir[3];\n dir[0] = __VERIFIER_nondet_char();\n dir[1] = __VERIFIER_nondet_char();\n dir[2] = 0;', s) s = re.sub(r'__VERIFIER_assume\(i < 16\);', r'__VERIFIER_assume(i >= 0 && i < 16);', s) if args.memory_safety and not 'argv=malloc' in s: s = re.sub(r'typedef long unsigned int size_t', r'typedef unsigned int size_t', s) elif args.memory_safety and re.search(r'getopt32\([^,)]+,[^,)]+,[^.)]+\);', s): if not args.quiet: print("Stumbled upon a benchmark that requires precise handling of vararg\n") while (True): pass elif args.memory_safety and ('count is too big' in s or 'pdRfilsLHarPv' in s or 'rnugG' in s): if not args.quiet: print("Stumbled upon a benchmark that contains undefined behavior\n") while (True): pass if args.float: if re.search("fesetround|fegetround|InvSqrt|ccccdp-1",s): sys.exit(smack.top.results(args)['unknown']) if 'argv=malloc' in s: # args.bit_precise = True if args.signed_integer_overflow and ('unsigned int d = (unsigned int)((signed int)(unsigned char)((signed int)*q | (signed int)(char)32) - 48);' in s or 'bb_ascii_isalnum' in s or 'ptm=localtime' in s or '0123456789.' in s): args.bit_precise = True args.bit_precise_pointers = True length = len(s.split('\n')) if length < 60: # replace all occurrences of 100000 with 10 and 15000 with 5 # Only target at small examples s = re.sub(r'100000', r'10', s) s = re.sub(r'15000', r'5', s) s = re.sub(r'i<=10000', r'i<=1', s) elif length < 710 and 'dll_create_master' in s: args.no_memory_splitting = True #Remove any preprocessed declarations of pthread types #Also, if file contains 'pthread', set pthread mode s,args.pthread = filters.scrub_pthreads(s) if args.pthread: s = "#include <pthread.h>\n" + s with open(args.input_files[0], 'w') as fo: fo.write(s) def is_crappy_driver_benchmark(args, bpl): if ("205_9a_array_safes_linux-3.16-rc1.tar.xz-205_9a-drivers--net--usb--rtl8150.ko-entry_point_true-unreach-call" in bpl or "32_7a_cilled_true-unreach-call_linux-3.8-rc1-32_7a-drivers--gpu--drm--ttm--ttm.ko-ldv_main5_sequence_infinite_withcheck_stateful" in bpl or "32_7a_cilled_true-unreach-call_linux-3.8-rc1-32_7a-drivers--media--dvb-core--dvb-core.ko-ldv_main5_sequence_infinite_withcheck_stateful" in bpl or "32_7a_cilled_true-unreach-call_linux-3.8-rc1-32_7a-sound--core--seq--snd-seq.ko-ldv_main2_sequence_infinite_withcheck_stateful" in bpl or "43_2a_bitvector_linux-3.16-rc1.tar.xz-43_2a-drivers--net--xen-netfront.ko-entry_point_true-unreach-call" in bpl or "linux-3.14__complex_emg__linux-drivers-clk1__drivers-net-ethernet-ethoc_true-unreach-call" in bpl or "linux-3.14__linux-usb-dev__drivers-media-usb-hdpvr-hdpvr_true-unreach-call" in bpl or "linux-4.2-rc1.tar.xz-32_7a-drivers--net--usb--r8152.ko-entry_point_true-unreach-call" in bpl or "linux-3.14__complex_emg__linux-kernel-locking-spinlock__drivers-net-ethernet-smsc-smsc911x_true-unreach-call" in bpl or "linux-3.14__complex_emg__linux-kernel-locking-spinlock__drivers-net-wan-lmc-lmc_true-unreach-call" in bpl or "linux-4.2-rc1.tar.xz-43_2a-drivers--net--ppp--ppp_generic.ko-entry_point_true-unreach-call" in bpl): if not args.quiet: print("Stumbled upon a crappy device driver benchmark\n") while (True): pass def force_timeout(): sys.stdout.flush() time.sleep(1000) def verify_bpl_svcomp(args): """Verify the Boogie source file using SVCOMP-tuned heuristics.""" heurTrace = "\n\nHeuristics Info:\n" if args.memory_safety: if not (args.only_check_valid_deref or args.only_check_valid_free or args.only_check_memleak): heurTrace = "engage valid deference checks.\n" args.only_check_valid_deref = True args.prop_to_check = 'valid-deref' args.bpl_with_all_props = smack.top.temporary_file(os.path.splitext(os.path.basename(args.bpl_file))[0], '.bpl', args) copyfile(args.bpl_file, args.bpl_with_all_props) smack.top.property_selection(args) elif args.only_check_valid_deref: heurTrace = "engage valid free checks.\n" args.only_check_valid_free = True args.prop_to_check = 'valid-free' args.only_check_valid_deref = False args.bpl_file = smack.top.temporary_file(os.path.splitext(os.path.basename(args.bpl_file))[0], '.bpl', args) copyfile(args.bpl_with_all_props, args.bpl_file) smack.top.property_selection(args) elif args.only_check_valid_free: heurTrace = "engage memleak checks.\n" args.only_check_memleak = True args.prop_to_check = 'memleak' args.only_check_valid_free = False args.bpl_file = smack.top.temporary_file(os.path.splitext(os.path.basename(args.bpl_file))[0], '.bpl', args) copyfile(args.bpl_with_all_props, args.bpl_file) smack.top.property_selection(args) # invoke boogie for floats # I have to copy/paste part of verify_bpl if args.float: args.verifier = 'boogie' boogie_command = ["boogie"] boogie_command += [args.bpl_file] boogie_command += ["/nologo", "/noinfer", "/doModSetAnalysis"] boogie_command += ["/timeLimit:%s" % args.time_limit] boogie_command += ["/errorLimit:%s" % args.max_violations] boogie_command += ["/loopUnroll:%d" % args.unroll] if args.bit_precise: x = "bopt:" if args.verifier != 'boogie' else "" boogie_command += ["/%sproverOpt:OPTIMIZE_FOR_BV=true" % x] boogie_command += ["/%sz3opt:smt.relevancy=0" % x] boogie_command += ["/%sz3opt:smt.bv.enable_int2bv=true" % x] boogie_command += ["/%sboolControlVC" % x] if args.verifier_options: boogie_command += args.verifier_options.split() boogie_output = smack.top.try_command(boogie_command, timeout=args.time_limit) boogie_result = smack.top.verification_result(boogie_output) write_error_file(args, boogie_result, boogie_output) sys.exit(smack.top.results(args)[boogie_result]) # If pthreads found, perform lock set analysis if args.pthread: lockpwn_command = ["lockpwn"] lockpwn_command += [args.bpl_file] lockpwn_command += ["/corral"] args.bpl_file = smack.top.temporary_file(os.path.splitext(os.path.basename(args.bpl_file))[0], '.bpl', args) lockpwn_command += ["/o:%s" % args.bpl_file] lockpwn_output = smack.top.try_command(lockpwn_command); corral_command = ["corral"] corral_command += [args.bpl_file] corral_command += ["/tryCTrace", "/noTraceOnDisk", "/printDataValues:1"] corral_command += ["/useProverEvaluate", "/cex:1"] with open(args.bpl_file, "r") as f: bpl = f.read() is_crappy_driver_benchmark(args, bpl) if args.pthread: if "fib_bench" in bpl or "27_Boop_simple_vf_false-unreach-call" in bpl: heurTrace += "Increasing context switch bound for certain pthread benchmarks.\n" corral_command += ["/k:30"] else: corral_command += ["/k:3"] if not "qrcu_reader2" in bpl and not "__VERIFIER_atomic_take_write_lock" in bpl and not "fib_bench" in bpl: corral_command += ["/cooperative"] else: corral_command += ["/k:1"] if not (args.memory_safety or args.bit_precise): corral_command += ["/di"] # we are not modeling strcpy if args.pthread and "strcpy" in bpl: heurTrace += "We are not modeling strcpy - aborting\n" if not args.quiet: print(heurTrace + "\n") sys.exit(smack.top.results(args)['unknown']) # Setting good loop unroll bound based on benchmark class loopUnrollBar = 8 staticLoopBound = 65536 if not args.bit_precise and "ssl3_accept" in bpl and "s__s3__tmp__new_cipher__algorithms" in bpl: heurTrace += "ControlFlow benchmark detected. Setting loop unroll bar to 23.\n" loopUnrollBar = 23 elif "s3_srvr.blast.10_false-unreach-call" in bpl or "s3_srvr.blast.15_false-unreach-call" in bpl: heurTrace += "ControlFlow benchmark detected. Setting loop unroll bar to 23.\n" loopUnrollBar = 23 elif "NonTerminationSimple4_false-no-overflow" in bpl: heurTrace += "Overflow benchmark detected. Setting loop unroll bar to 1024.\n" loopUnrollBar = 1024 elif " node3" in bpl: heurTrace += "Sequentialized benchmark detected. Setting loop unroll bar to 100.\n" loopUnrollBar = 100 elif "calculate_output" in bpl or "psyco" in bpl: heurTrace += "ECA benchmark detected. Setting loop unroll bar to 15.\n" loopUnrollBar = 15 elif "ldv" in bpl: if "linux-4.2-rc1.tar.xz-08_1a-drivers--staging--lustre--lustre--llite--llite_lloop.ko-entry_point" in bpl or "linux-3.14__complex_emg__linux-usb-dev__drivers-media-usb-hdpvr-hdpvr" in bpl: heurTrace += "Special LDV benchmark detected. Setting loop unroll bar to 32.\n" loopUnrollBar = 32 else: heurTrace += "LDV benchmark detected. Setting loop unroll bar to 13.\n" loopUnrollBar = 13 staticLoopBound = 64 elif "standard_strcpy_false-valid-deref_ground_true-termination" in bpl or "960521-1_false-valid-free" in bpl or "960521-1_false-valid-deref" in bpl or "lockfree-3.3" in bpl or "list-ext_false-unreach-call_false-valid-deref" in bpl: heurTrace += "Memory safety benchmark detected. Setting loop unroll bar to 129.\n" loopUnrollBar = 129 elif "is_relaxed_prefix" in bpl: heurTrace += "Benchmark relax_* detected. Setting loop unroll bar to 15.\n" loopUnrollBar = 15 elif "id_o1000_false-unreach-call" in bpl: heurTrace += "Recursive benchmark detected. Setting loop unroll bar to 1024.\n" loopUnrollBar = 1024 elif "n.c24" in bpl or "array_false-unreach-call3" in bpl: heurTrace += "Loops benchmark detected. Setting loop unroll bar to 1024.\n" loopUnrollBar = 1024 elif "printf_false-unreach-call" in bpl or "echo_true-no-overflow" in bpl: heurTrace += "BusyBox benchmark detected. Setting loop unroll bar to 11.\n" loopUnrollBar = 11 elif args.memory_safety and "__main($i0" in bpl: heurTrace += "BusyBox memory safety benchmark detected. Setting loop unroll bar to 4.\n" loopUnrollBar = 4 elif args.signed_integer_overflow and "__main($i0" in bpl: heurTrace += "BusyBox overflows benchmark detected. Setting loop unroll bar to 4.\n" loopUnrollBar = 4 elif args.signed_integer_overflow and ("jain" in bpl or "TerminatorRec02" in bpl or "NonTerminationSimple" in bpl): heurTrace += "Infinite loop in overflow benchmark. Setting loop unroll bar to INT_MAX.\n" loopUnrollBar = 2**31 - 1 if not "forall" in bpl: heurTrace += "No quantifiers detected. Setting z3 relevancy to 0.\n" corral_command += ["/bopt:z3opt:smt.relevancy=0"] if args.bit_precise: heurTrace += "--bit-precise flag passed - enabling bit vectors mode.\n" corral_command += ["/bopt:proverOpt:OPTIMIZE_FOR_BV=true"] corral_command += ["/bopt:boolControlVC"] if not args.bit_precise_pointers: corral_command += ["/bopt:z3opt:smt.bv.enable_int2bv=true"] if args.memory_safety: if args.prop_to_check == 'valid-deref': if "memleaks_test12_false-valid-free" in bpl: time_limit = 10 else: time_limit = 750 elif args.prop_to_check == 'valid-free': time_limit = 80 elif args.prop_to_check == 'memleak': time_limit = 50 else: time_limit = 880 command = list(corral_command) command += ["/timeLimit:%s" % time_limit] command += ["/v:1"] command += ["/maxStaticLoopBound:%d" % staticLoopBound] command += ["/recursionBound:65536"] command += ["/irreducibleLoopUnroll:2"] command += ["/trackAllVars"] verifier_output = smack.top.try_command(command, timeout=time_limit) result = smack.top.verification_result(verifier_output) if result == 'error' or result == 'invalid-deref' or result == 'invalid-free' or result == 'invalid-memtrack' or result == 'overflow': #normal inlining heurTrace += "Found a bug during normal inlining.\n" if not args.quiet: error = smack.top.error_trace(verifier_output, args) print error if args.memory_safety: heurTrace += (args.prop_to_check + "has errors\n") if args.prop_to_check == 'valid-free': if args.valid_deref_check_result != 'verified': force_timeout() elif args.prop_to_check == 'memleak': if args.valid_free_check_result == 'timeout': force_timeout() elif result == 'timeout': #normal inlining heurTrace += "Timed out during normal inlining.\n" heurTrace += "Determining result based on how far we unrolled.\n" # If we managed to unroll more than loopUnrollBar times, then return verified # First remove exhausted loop bounds generated during max static loop bound computation unrollMax = 0 if 'Verifying program while tracking' in verifier_output: verifier_output = re.sub(re.compile('.*Verifying program while tracking', re.DOTALL), 'Verifying program while tracking', verifier_output) it = re.finditer(r'Exhausted recursion bound of ([1-9]\d*)', verifier_output) for match in it: if int(match.group(1)) > unrollMax: unrollMax = int(match.group(1)) else: heurTrace += "Corral didn't even start verification.\n" if unrollMax >= loopUnrollBar: heurTrace += "Unrolling made it to a recursion bound of " heurTrace += str(unrollMax) + ".\n" heurTrace += "Reporting benchmark as 'verified'.\n" if args.execute and not args.pthread: heurTrace += "Hold on, let's see the execution result.\n" execution_result = run_binary(args) heurTrace += "Excecution result is " + execution_result + '\n' if execution_result != 'true': heurTrace += "Oops, execution result says {0}.\n".format(execution_result) if not args.quiet: print(heurTrace + "\n") sys.exit(smack.top.results(args)['unknown']) random_test_result = random_test(args, result) if random_test_result == 'false' or random_test_result == 'unknown': heurTrace += "Oops, random testing says {0}.\n".format(random_test_result) if not args.quiet: print(heurTrace + "\n") sys.exit(smack.top.results(args)['unknown']) if not args.quiet: print(heurTrace + "\n") if args.memory_safety: heurTrace += (args.prop_to_check + "is verified\n") if args.prop_to_check == 'valid-deref': args.valid_deref_check_result = 'verified' elif args.prop_to_check == 'valid-free': args.valid_free_check_result = 'verified' elif args.prop_to_check == 'memleak': if args.valid_deref_check_result == 'timeout': force_timeout() else: sys.exit(smack.top.results(args)[args.valid_deref_check_result]) verify_bpl_svcomp(args) else: write_error_file(args, 'verified', verifier_output) sys.exit(smack.top.results(args)['verified']) else: heurTrace += "Only unrolled " + str(unrollMax) + " times.\n" heurTrace += "Insufficient unrolls to consider 'verified'. " heurTrace += "Reporting 'timeout'.\n" if not args.quiet: print(heurTrace + "\n") sys.stdout.flush() if args.memory_safety: heurTrace += (args.prop_to_check + " times out\n") if args.prop_to_check == 'valid-deref': args.valid_deref_check_result = 'timeout' force_timeout() elif args.prop_to_check == 'valid-free': args.valid_free_check_result = 'timeout' elif args.prop_to_check == 'memleak': if args.valid_deref_check_result == 'timeout': force_timeout() else: sys.exit(smack.top.results(args)[args.valid_deref_check_result]) verify_bpl_svcomp(args) else: # Sleep for 1000 seconds, so svcomp shows timeout instead of unknown time.sleep(1000) elif result == 'verified': #normal inlining heurTrace += "Normal inlining terminated and found no bugs.\n" else: #normal inlining heurTrace += "Normal inlining returned 'unknown'. See errors above.\n" if not args.quiet: print(heurTrace + "\n") if args.memory_safety and result == 'verified': heurTrace += (args.prop_to_check + " is verified\n") if args.prop_to_check == 'valid-deref': args.valid_deref_check_result = 'verified' elif args.prop_to_check == 'valid-free': args.valid_free_check_result = 'verified' elif args.prop_to_check == 'memleak': if args.valid_deref_check_result == 'timeout': force_timeout() else: sys.exit(smack.top.results(args)[args.valid_deref_check_result]) verify_bpl_svcomp(args) else: write_error_file(args, result, verifier_output) sys.exit(smack.top.results(args)[result]) def write_error_file(args, status, verifier_output): return if args.memory_safety or status == 'timeout' or status == 'unknown': return hasBug = (status != 'verified') #if not hasBug: # return if args.error_file: error = None if args.language == 'svcomp': error = smackJsonToXmlGraph(smack.top.smackdOutput(verifier_output), args, hasBug) elif hasBug: error = smack.top.error_trace(verifier_output, args) if error is not None: with open(args.error_file, 'w') as f: f.write(error) def run_binary(args): #process the file to make it runnable with open(args.input_files[0], 'r') as fi: s = fi.read() s = re.sub(r'(extern )?void __VERIFIER_error()', '//', s) s = re.sub(r'__VERIFIER_error\(\)', 'assert(0)', s) s = '#include<assert.h>\n' + s name = os.path.splitext(os.path.basename(args.input_files[0]))[0] tmp1 = smack.top.temporary_file(name, '.c', args) with open(tmp1, 'w') as fo: fo.write(s) tmp2 = smack.top.temporary_file(name, '.bin', args) tmp2 = tmp2.split('/')[-1] #compile and run cmd = ['clang', tmp1, '-o', tmp2] #cmd += args.clang_options.split() #if '-m32' in args.clang_options.split(): #cmd += ['-m32'] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE) out, err = proc.communicate() rc = proc.returncode if rc: print 'Compiling error' print err return 'unknown' else: cmd = [r'./' + tmp2] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE) out, err = proc.communicate() rc = proc.returncode if rc: if re.search(r'Assertion.*failed', err): return 'false' else: print 'Execution error' print err return 'unknown' else: return 'true'

83f461707c32cbd3add296d28b17099465852521

py

Python

cadee/dyn/trajectory.py

kamerlinlab/cadee

8fa34fc4f7fc496c8843e9380075ae11fca7aaa7

2017-01-11T09:21:27.000Z

2021-06-27T03:56:15.000Z

cadee/dyn/trajectory.py

kamerlinlab/cadee

8fa34fc4f7fc496c8843e9380075ae11fca7aaa7

2017-07-18T06:54:17.000Z

2020-08-25T14:03:14.000Z

cadee/dyn/trajectory.py

kamerlinlab/cadee

8fa34fc4f7fc496c8843e9380075ae11fca7aaa7

2017-03-15T12:18:13.000Z

2021-02-28T05:09:36.000Z

#!/usr/bin/env python """ Module calling Q, and analysing logfile / Simulation Author: {0} ({1}) This module is part of CADEE, the framework for Computer-Aided Directed Evolution of Enzymes. """ from __future__ import print_function from filecmp import cmp as comparefiles from platform import node as hostname import gzip import os import subprocess import shutil import time import analysis import tools from tools import File __author__ = "Beat Amrein" __email__ = "[email protected]" logger = tools.getLogger('dyn.traj') # This class is running a simulation # Its essentially my python-implementation of submit.sh # RELEVANT FOR PYTHON - MPI Interaction: # http://stackoverflow.com/questions/10590064/interact-with-a-mpi-binary-via-a-non-mpi-python-script # TODO 1: Custom Exceptions / Handling # 2: if hot-atoms in first 4 steps, restart with smaller stepsize # 3: automatic mapping # 4: compress/uncompress pdbfile # 5: compress/uncompress topology # 6: compress/uncompress input files # 7: fastforward md.QdynPackage, when loaded # 8: mutation starting from just a sequence # 9: Add flag: has_failed use instead of rising exception # # User-Defined Constants DONT_LOG_LINES_WITH = ["--- Nonbonded pair list generation -----", "---------- Timing ----------", "Seconds per step (wall-clock):"] NLC = '\n' # CONSTANTS NORMALTERM = "terminated normally" NAN_INDICATOR = 'SUM NaN NaN NaN' SHAKE_TERM = "Terminating due to shake failure" WARNING_HOT_ATOM = ">>> WARNING: hot atom, i =" ERR_LOG_TOO_SHORT = 1 ERR_ABNORMAL_TERM = 2 ERR_LOG_INEXISTENT = 4 ERR_SHAKE = 8 ERR_NAN = 16 class WorkUnit(object): """ container for 1 qdyn-simuluation """ # class WorkUnitException(Exception): # pass # class NaNException(WorkUnitException): # pass # class ShakeFailure(WorkUnitException): # pass # class AbnormalTermination(WorkUnitException): # pass # class NoLogFile(WorkUnitException): # pass # class TooShortLogFile(WorkUnitException): # pass DEBUG = False def __init__(self, unitnumber, inputfile, topology, pdbfile=None, fepfile=None, restraintfile=None, restartfile=None): if isinstance(inputfile, str): inputfile = [inputfile, ''] elif isinstance(inputfile, list): pass else: raise 'WTF' self.unitnumber = unitnumber # error Msg self.errMsg = '' # shared inputs self.topology = topology self.pdbfile = pdbfile # opt self.fepfile = fepfile # opt # inputs self.inputfile = inputfile logger.debug('Input file: %s', self.inputfile[0]) self.restartfile = restartfile # opt self.restraintfile = restraintfile # opt # outputs self.logfile = None self.velocityfile = None # opt self.dcdfile = None # opt self.energyfile = None # opt # stats self.time = 0 self.status = None self.q_exitcode = None self._parse_inputfile() if self.logfile is None or self.logfile[1] == '': log = os.path.splitext(self.inputfile[0])[0]+".log" loggz = os.path.splitext(self.inputfile[0])[0]+".log.gz" if os.path.exists(log) and os.path.exists(loggz): # this should not happen, so we give a Msg.warn and # then kill the old log logger.warning('deleting log, keeping log.gz') os.remove(log) fname = loggz elif os.path.exists(loggz): fname = loggz else: fname = log self.logfile = [fname, ''] if os.path.exists(fname): self.checklogfile() if self.status != 0: logger.warning('A log file exists BUT with status: %s !', self.status) if self.topology is None: logger.info(self.inputfile[0]) raise (Exception, 'topo') if self.inputfile is None: raise (Exception, 'inp') if self.logfile is None: raise (Exception, 'log') def stats(self, obj): """ return stats on fileobj (eg bytes, or empty) """ if obj is None: return '' elif isinstance(obj, list) and len(obj) == 2: if obj[1] == '': return str(obj[0])+': is empty' else: return str(obj[0])+':'+str(len(obj[1]))+'chars' elif isinstance(obj, str): return str(obj)+": is empty" else: logger.info(len(obj)) raise Exception('weirdo') def __repr__(self): """ return str of self """ out = '' for obj in [self.topology, self.pdbfile, self.fepfile, self.inputfile, self.restartfile, self.restraintfile, self.logfile, self.velocityfile, self.dcdfile, self.energyfile]: out += self.stats(obj) + NLC out += self.stats(obj) + NLC out += 'status:' + str(self.status) out += 'exitcode:' + str(self.q_exitcode) return out def _parse_inputfile(self): ''' Parse input file and populate self with filenames ''' files_section = False logger.debug(os.getcwd()) if self.inputfile[1] is None or self.inputfile[1] == '': with open(self.inputfile[0], 'r') as f: self.inputfile[1] = f.read() for line in self.inputfile[1].split(NLC): if line.strip() == '': continue # kill comments: line = line.replace('#', '!').split('!')[0].strip() if files_section: if '[' in line.strip()[0]: break else: if len(line.split()) != 2: continue ftype, fname = line.split() ftype = ftype.lower().strip() if ftype == 'topology': if self.topology is None: self.topology = [fname, ''] elif ftype == 'fep': if self.fepfile is None: self.fepfile = [fname, ''] elif ftype == 'restart': if self.restartfile is None: self.restartfile = [fname, ''] elif ftype == 'restraint': if self.restraintfile is None: if os.path.isfile(fname): self.restraintfile = [fname, ''] else: if fname == self.restartfile[0] + "st.re": # restart + 'st.re' == restraint msg = 'RE-use restart as restraint:' msg += '-----> %s' msg += self.restartfile[0] logger.debug(msg) shutil.copy(self.restartfile[0], fname) self.restraintfile = [fname, ''] else: # search harddisk for similar restraint restartfile = fname[:-5] msg = 'Try: use restart as restraint:' msg += '-----> %s' msg += restartfile logger.debug(msg) if os.path.isfile(restartfile): shutil.copy(restartfile, fname) else: msg = 'cant find restraint:' + fname logger.warning(msg) # TODO: more heuristics raise (Exception, msg) elif ftype == 'final' and self.velocityfile is None: self.velocityfile = [fname, ''] elif ftype == 'trajectory' and self.dcdfile is None: self.dcdfile = [fname, ''] elif ftype == 'energy' and self.energyfile is None: self.energyfile = [fname, ''] else: logger.warning('do not know this key here %s', ftype) raise (Exception, 'do not know this key here') if line.lower() == '[files]': files_section = True if not files_section: logger.warning('Fatal: no files section in input file %s', self.inputfile) raise (Exception, 'Fatal: no files section in input file') def run(self, exe): """ run simulation with executable exe """ if os.path.isfile(self.logfile[0]): self.status = self.checklogfile() if self.status == 0: return 0 ifname = self.inputfile[0] ofname = self.logfile[0] if len(ifname) == 1 or len(ofname) == 1: raise (Exception, 'WTF') self._deploy() # run q start = time.time() cmd = exe + " " + ifname logger.info("%s", ifname) logger.debug("%s %s", hostname(), cmd) try: subprocess.check_call([exe, ifname], stdout=open(ofname, 'w')) self.q_exitcode = 0 except subprocess.CalledProcessError as exitstatus: logger.warning('Detected a non-zero exit status!', exitstatus) self.q_exitcode = exitstatus.returncode # check logfile self.checklogfile() self.time = time.time() - start if self.status == 0 and self.q_exitcode == 0: return 0 else: logger.warning('Detected status %s %s %s', self.status, 'and an exitcode', self.q_exitcode) return self.status + self.q_exitcode def checklogfile(self): """ Check Logfile """ logger.debug("Checking log file ...") # TODO: do something about hot atoms. # eg a) run longer # b) never read the restraint of this run # WARN_HOT_ATOM = 0 self.hot_atoms = 0 log = [] logfile = self.logfile[0] if os.path.isfile(self.logfile[0]+".gz"): os.remove(self.logfile[0]) self.logfile[0] = self.logfile[0]+".gz" try: if logfile[-3:] == ".gz": for line in gzip.open(logfile): log.append(line) compress = False else: with open(logfile) as fil: for line in fil: if line in DONT_LOG_LINES_WITH: continue log.append(line) compress = True except IOError: err = "Could not open log file!" logger.warning(err) self.errMsg += err self.status = ERR_LOG_INEXISTENT return ERR_LOG_INEXISTENT if len(log) > 5: l5l = 'Last 5 lines of log file:' self.errMsg += NLC + l5l + NLC for logline in log[-5:]: self.errMsg += len('Last 5 Lines') * ' ' + ">" + logline self.errMsg += "/" + 'Last 5 Lines' + NLC + NLC if len(log) < 100: err = 'The log file is too short (less than 100 lines)!' logger.warning(err) self.errMsg += err self.status = ERR_LOG_TOO_SHORT for line in log: logger.info(line.strip()) return ERR_LOG_TOO_SHORT else: # TODO: check if we have insane high energies for line in log[-50:]: allok = 0 if NORMALTERM in line: allok = 1 break elif NAN_INDICATOR in line: err = "Found NaN Error: '" + NAN_INDICATOR + "'" logger.warning(err) self.errMsg += err self.status = ERR_NAN return ERR_NAN elif SHAKE_TERM in line: err = "Found Shake Error: '" + SHAKE_TERM + "'" logger.warning(err) self.errMsg += err self.status = ERR_SHAKE return ERR_SHAKE elif WARNING_HOT_ATOM in line: if self.hot_atoms < 1: err = "Found HOT ATOM'" logger.warning(err) self.errMsg += err self.hot_atoms += 1 if allok != 1: err = 'The log file is missing ' + str(NORMALTERM) + ' string!' err += ' UNKNOWN ERROR ' self.errMsg += err logger.warning(err) self.status = ERR_ABNORMAL_TERM return ERR_ABNORMAL_TERM if compress: # re-writing compressed logfile without rubbish lines gzip.open(logfile+".gz", 'wb').writelines(log) self.logfile[0] = logfile+".gz" os.remove(logfile) # search and kill douplicate *rest.re files if self.restraintfile is not None and self.restartfile is not None: if len(self.restraintfile) == 2 and len(self.restartfile) == 2: restre = self.restraintfile[0] restart = self.restartfile[0] if (len(restre) > 8 and len(restart) > 3 and restre[-8:] == ".rest.re" and restart[-3:] == ".re"): if os.path.isfile(restre) and os.path.isfile(restart): if comparefiles(restart, restre, False): os.remove(restre) # compress energyfile if self.energyfile is not None and len(self.energyfile) == 2: energy = self.energyfile[0] if os.path.isfile(energy) and energy[-3:] != ".gz": engz = energy + ".gz" with open(energy, 'rb') as fil_in: with gzip.open(engz, 'wb') as fil_out: shutil.copyfileobj(fil_in, fil_out) os.remove(energy) self.status = 0 return 0 def _deploy(self): """ serialize data from memory-oject to disk (deploy to disk) """ for data in (self.topology, self.pdbfile, self.fepfile, self.inputfile, self.restraintfile, self.restartfile, self.logfile, self.dcdfile, self.energyfile, self.velocityfile): if data is None: continue if isinstance(data, str): continue fname, data = data if data.strip() == '': if WorkUnit.DEBUG: logger.debug('Wont write empty file %s !', fname) continue # if os.path.isfile(fname): # Msg.log('Wont overwrite existing file', fname) # continue if isinstance(fname, str) and isinstance(data, str): with open(fname, 'wb') as fil: fil.write(data) if WorkUnit.DEBUG: logger.debug('Serialized: %s .', fname) else: logger.warning('This might be a problem here: type(fname) == %s %s %s !', type(fname), 'and type(data) ==', type(data)) raise (Exception, 'Expected: str() and str()') class QdynPackage(object): def map_and_analyze(self, eqfil=None): if self.mapped is None: logger.debug('Mapping disabled.') elif self.mapped is True: logger.debug('is already mapped (skipping)!') return True elif self.mapped is False: with tools.cd(self.path): if eqfil is None: self.mapped = analysis.main(self.map_settings, eqfil) else: analysis.main(self.map_settings, eqfil) else: raise 'WTF' def parse_file(self, fname): """ Read fname. If fname is None: return None if fname is str: read the file and store in memory if fname is [path, data] return [basename(path), data] """ if fname is None: return None if isinstance(fname, str): if os.path.isfile(fname): with open(fname, 'r') as fil: data = fil.read() fname = os.path.basename(fname) return [fname, data] else: logger.warning('Could not find %s .', fname) os.system('ls') raise 'FAILED' elif isinstance(fname, list) and len(fname) == 2: fname[0] = os.path.basename(fname[0]) return fname else: raise (Exception, 'either str(fname) or list[fname, data])') def check_exe(self): """ check executable permissions, raises exception if not OK """ if (isinstance(self.q_dyn5_exe, str) and os.path.isfile(self.q_dyn5_exe)): if os.access(self.q_dyn5_exe, os.X_OK): pass else: raise (Exception, 'executable is not executable!') else: raise (Exception, 'executable: is not file.') def set_exe(self, exe): """ set self.q_dyn5_exe to exe """ self.q_dyn5_exe = exe def set_temp(self, temp): """ cd into temp """ if not os.path.isdir(temp): raise (Exception, 'you provided a path which is not a directory!') else: os.chdir(temp) self.path = temp def __init__(self, topology, path, q_executable=None, inputfiles=None, description=None, pdbfile=None, restartfile=None, restraintfile=None, fepfile=None, map_settings=None): """ Inititalisation of a md-simulation. Topology: string with a filename OR list [ topology-name, data ] Path: a string with the path where this unit is working in. Executable: string with a filename Inputfiles: list with inputfiles. Description: str with description PDBFile: string with a filename OR list [ pdb-name, data ] restartfile: string with a filename OR list [ restartname, data ] restraintfile: string with a filename OR list [ restraintname, data ] """ self.set_temp(path) if q_executable is not None: self.set_exe(q_executable) self.topology = self.parse_file(topology) self.fepfile = self.parse_file(fepfile) self.pdbfile = self.parse_file(pdbfile) self.restartfile = self.parse_file(restartfile) self.restraintfile = self.parse_file(restraintfile) self.description = self.parse_file(description) self.wus = [] self.cwu = None self.if_pos = 0 self.inputfiles = [] self.filenames = {} if inputfiles is not None and isinstance(inputfiles, list): for inp in inputfiles: if inp is None: raise 'WTF' self.add_inputfile(inp) else: self.inputfiles = [] if map_settings is None: self.mapped = None else: self.mapped = False self.map_settings = map_settings logger.info('Next qdyn simulation step initialized.') def stats(self, obj): if obj is None: return '' elif isinstance(obj, list) and len(obj) == 2: if obj[1] == '': return str(obj[0]) + ': is empty' else: return str(obj[0]) + ':' + str(len(obj[1])) + 'chars' elif isinstance(obj, str): return str(obj)+": is empty" else: logger.warning('weirdo %s', (len(obj))) raise Exception('weirdo') def __repr__(self): out = '' out += 'PackageFiles' + NLC for obj in [self.topology, self.pdbfile, self.fepfile, self.restartfile, self.restraintfile, self.description]: if self.stats(obj) != '': out += ' ' + self.stats(obj) + NLC out += NLC # out += '# inputiles:' + str(self.inputfiles) out += 'Work-Units:' + NLC for each in self.wus: out += ' WU: ' + str(each) + NLC out += 'Input files:' + NLC for i in range(len(self.wus), len(self.inputfiles)): out += ' IF: ' + str(self.inputfiles[i]) + NLC out += '@ position:' + str(self.if_pos) + NLC out += ' finished:' + str(self.is_finished()) + NLC return out def get_file_with_name(self, fname): with tools.cd(self.path): if os.path.exists(fname): return File(fname, read=True) raise IOError('File not found', fname, 'in', self.path) def _check_eq_and_map(self): if '_eq' in self.inputfiles[self.if_pos][0]: logger.debug('is eq-file %s', (self.inputfiles[self.if_pos][0])) self.map_and_analyze(self.inputfiles[self.if_pos][0]) elif '_fep' in self.inputfiles[self.if_pos][0]: pass elif '_dyn' in self.inputfiles[self.if_pos][0]: pass else: logger.warning('Neither temperization, nor equlilbration nor fep: %s', (self.inputfiles[self.if_pos][0])) def compute(self): """ Run Q: Forward trough inputfile-list to inputfile without logfile and run it. """ with tools.cd(self.path): # Check if we're done arleady if self.is_finished(): try: logger.warning('Nothing to compute. %s %s', self.if_pos, self.inputfiles[self.if_pos]) except IndexError: logger.warning('Nothing to compute. %s', self.if_pos) # TODO: 1) automatic mapping else: # TODO: add restart-capability if not self.is_finished(): if len(self.wus) > self.if_pos: old_input = self.wus[self.if_pos].inputfile[0] new_input = self.inputfiles[self.if_pos] if old_input == new_input: if self.wus[self.if_pos].checklogfile() == 0: # this WorkUnit is finished we; load next one logger.warning( 'this run is already done skipping %s', self.wus[self.if_pos].inputfile[0] ) self.if_pos += 1 self.compute() return # Generate new compute units, until one w/o logfile exists while True: if self.is_finished(): return self.cwu = self.create_next_workunit() if (self.cwu.status is not None and self.cwu.status == 0): logger.debug( 'skip step %s', self.inputfiles[self.if_pos][0]) self._check_eq_and_map() self.wus.append(self.cwu) self.if_pos += 1 continue break exe = self.q_dyn5_exe self.check_exe() if len(self.wus) != self.cwu.unitnumber: raise (Exception, 'discrepancy in input file order') if self.cwu.run(exe) == 0: self.wus.append(self.cwu) self._check_eq_and_map() else: err = 'There was a problem with step: ' err += str(self.if_pos) err += ', in inputfile' err += str(self.inputfiles[self.if_pos][0]) err += NLC + 'The status Code was:' err += str(self.cwu.status) err += NLC + NLC + 'The Error Messages where: ' err += NLC + NLC + 'Directory' + os.getcwd() err += str(self.cwu.errMsg) + NLC err += 'Will Raise Exception...' logger.warning(err) raise (Exception, 'computation failed') # increment for next step self.if_pos += 1 def _parse_inputfile(self, inputfile): ''' Parse input file ''' files_section = False self.filenames = {} for line in open(inputfile, 'r'): if line.strip() == '': continue # kill comments: line = line.replace['#', '!'].split()[0].strip() if files_section: if '[' in line.strip()[0]: files_section = False else: ftype, fname = line.split() ftype = ftype.lower() if ftype == 'topology': self.filenames[ftype] = fname elif ftype == 'fepfile': self.filenames[ftype] = fname elif ftype == 'restart': self.filenames[ftype] = fname elif ftype == 'restraint': self.filenames[ftype] = fname elif ftype == 'final': self.filenames[ftype] = fname elif ftype == 'trajectory': self.filenames[ftype] = fname elif ftype == 'energy': self.filenames[ftype] = fname else: raise (Exception, "Parse Input File: Unknown Filetype.") if line.lower() == '[files]': files_section = True def add_inputfile(self, inputfile): ''' Add an inputfile ''' inputfile = self.parse_file(inputfile) if inputfile is None: raise 'WTF' self.inputfiles.append(inputfile) def create_next_workunit(self): ''' Load & Prepare the next input file ''' if self.if_pos == 0: # initial one, may need special input cwu = WorkUnit(self.if_pos, self.inputfiles[self.if_pos], self.topology, self.pdbfile, self.fepfile, self.restraintfile, self.restartfile) else: # try to locate the restart and restraint files that might be need restart = None restraint = None self.parse_file(self.inputfiles[self.if_pos]) if 'restart' in self.filenames: for i in range(self.if_pos): old_restart = self.wus[self.if_pos-i].velocityfile[0] new_restart = self.filenames['restart'] if old_restart == new_restart: restart = self.wus[self.if_pos-i].velocityfile if i != 1: logger.warning('UNUSUAL RESTART') logger.warning( 'input: %s', self.inputfiles[self.if_pos]) logger.warning( 'is not using restart from: %s', self.inputfiles[self.if_pos-1]) logger.warning( 'BUT INSTEAD the one from: %s', self.inputfiles[self.if_pos-i]) if 'restraint' in self.filenames: for i in range(self.if_pos): old_restraint = self.wus[self.if_pos-i].velocityfile[0] + "st.re" # NOPEP8 new_restraint = self.filenames['restraint'] if old_restraint == new_restraint: restraint = self.wus[self.if_pos-i].velocityfile[:] restraint[0] += "st.re" # TODO: multiple fep files could be taken from here as well cwu = WorkUnit(self.if_pos, self.inputfiles[self.if_pos], self.topology, None, self.fepfile, restraint, restart) return cwu def is_finished(self): """ Return True is simulation is finished, or False. """ if len(self.inputfiles) <= self.if_pos: self.map_and_analyze() return True return False def progress(self): """ logger.info progress of md.QdynPackage """ logger.info("%s / %s", self.if_pos, len(self.inputfiles)) class MolDynSim(object): """ Container for MolecularDynamicSimulation """ def __init__(self, path, qexecutable, topology, inputfiles, fepfile, restartfile, restraintfile, description, pdbfile, map_settings=None): self.pack = QdynPackage(topology, path, qexecutable, inputfiles, description, pdbfile, restartfile, restraintfile, fepfile, map_settings) def set_executable(self, exe): """ set executable """ self.pack.set_exe(exe) def set_tempdir(self, temp): """ set temporary directory """ self.pack.set_temp(temp) def is_finished(self): """ return bool """ return self.pack.is_finished() def progress(self): """ write progress to stdout""" self.pack.progress() def __repr__(self): return self.pack.__repr__() def compute(self): """ run one step, return self """ self.pack.compute() return self.pack

584debbf07f91d5cf098b17fa41a8b798a6a5dcf

py

Python

samples/LuceneInAction/lia/advsearching/__init__.py

romanchyla/pylucene-trunk

990079ff0c76b972ce5ef2bac9b85334a0a1f27a

2015-05-21T09:28:01.000Z

2022-03-18T23:41:49.000Z

samples/LuceneInAction/lia/advsearching/__init__.py

fnp/pylucene

fb16ac375de5479dec3919a5559cda02c899e387

2021-09-30T03:59:43.000Z

2021-09-30T03:59:43.000Z

samples/LuceneInAction/lia/advsearching/__init__.py

romanchyla/pylucene-trunk

990079ff0c76b972ce5ef2bac9b85334a0a1f27a

2015-04-18T23:05:11.000Z

2021-11-29T21:23:26.000Z

# advsearching package

35734cd88bac755fd556604e1ee6e56afd0cee4b

py

Python

lispyc/__init__.py

csun-comp430-s22/lispy

03820211bd3c5a83e0de4b1ac26a864080e06aca

lispyc/__init__.py

csun-comp430-s22/lispy

03820211bd3c5a83e0de4b1ac26a864080e06aca

2022-02-23T08:12:52.000Z

2022-03-09T00:13:33.000Z

lispyc/__init__.py

csun-comp430-s22/lispy

03820211bd3c5a83e0de4b1ac26a864080e06aca

from importlib import metadata try: __version__ = metadata.version("lispyc") except metadata.PackageNotFoundError: # pragma: no cover __version__ = "0.0.0+unknown"

3bf39d8898d28e2ea772acea9a68274b901e712b

py

Python

casepro/cases/tests.py

rapidpro/casepro

b61762c30f0fce64b71226271af6923868f79f7b

2015-07-21T15:57:49.000Z

2021-11-04T18:26:35.000Z

casepro/cases/tests.py

rapidpro/casepro

b61762c30f0fce64b71226271af6923868f79f7b

2015-05-22T07:26:45.000Z

2022-03-12T01:08:28.000Z

casepro/cases/tests.py

rapidpro/casepro

b61762c30f0fce64b71226271af6923868f79f7b

2015-05-28T12:30:25.000Z

2021-11-19T01:57:38.000Z

from datetime import datetime, timedelta from unittest.mock import patch import pytz from temba_client.utils import format_iso8601 from django.contrib.auth.models import User from django.core.exceptions import PermissionDenied from django.test.utils import override_settings from django.urls import reverse from django.utils import timezone from casepro.contacts.models import Contact from casepro.msgs.models import Label, Message, Outgoing from casepro.msgs.tasks import handle_messages from casepro.orgs_ext.models import Flow from casepro.profiles.models import ROLE_ANALYST, ROLE_MANAGER, Notification from casepro.test import BaseCasesTest from casepro.utils import datetime_to_microseconds, microseconds_to_datetime from .context_processors import sentry_dsn from .models import AccessLevel, Case, CaseAction, CaseExport, CaseFolder, Partner class CaseTest(BaseCasesTest): def setUp(self): super(CaseTest, self).setUp() self.ann = self.create_contact( self.unicef, "C-001", "Ann", fields={"age": "34"}, groups=[self.females, self.reporters, self.registered] ) @patch("casepro.test.TestBackend.archive_contact_messages") @patch("casepro.test.TestBackend.archive_messages") @patch("casepro.test.TestBackend.stop_runs") @patch("casepro.test.TestBackend.add_to_group") @patch("casepro.test.TestBackend.remove_from_group") @patch("casepro.test.TestBackend.fetch_flows") @patch("casepro.test.TestBackend.start_flow") def test_lifecycle( self, mock_start_flow, mock_fetch_flows, mock_remove_from_group, mock_add_to_group, mock_stop_runs, mock_archive_messages, mock_archive_contact_messages, ): mock_fetch_flows.return_value = [Flow("0001-0001", "Registration"), Flow("0002-0002", "Follow-Up")] followup = Flow("0002-0002", "Follow-Up") self.unicef.set_followup_flow(followup) d0 = datetime(2015, 1, 2, 6, 0, tzinfo=pytz.UTC) d1 = datetime(2015, 1, 2, 7, 0, tzinfo=pytz.UTC) d2 = datetime(2015, 1, 2, 8, 0, tzinfo=pytz.UTC) d3 = datetime(2015, 1, 2, 9, 0, tzinfo=pytz.UTC) d4 = datetime(2015, 1, 2, 10, 0, tzinfo=pytz.UTC) d5 = datetime(2015, 1, 2, 11, 0, tzinfo=pytz.UTC) d6 = datetime(2015, 1, 2, 12, 0, tzinfo=pytz.UTC) d7 = datetime(2015, 1, 2, 13, 0, tzinfo=pytz.UTC) self.create_message(self.unicef, 123, self.ann, "Hello", created_on=d0) msg2 = self.create_message(self.unicef, 234, self.ann, "Hello again", [self.aids], created_on=d1) with patch.object(timezone, "now", return_value=d1): # MOH opens new case case = Case.get_or_open(self.unicef, self.user1, msg2, "Summary", self.moh) self.assertTrue(case.is_new) self.assertEqual(case.org, self.unicef) self.assertEqual(set(case.labels.all()), {self.aids}) self.assertEqual(set(case.watchers.all()), {self.user1}) self.assertEqual(case.assignee, self.moh) self.assertEqual(case.contact, self.ann) self.assertEqual(case.initial_message, msg2) self.assertEqual(case.summary, "Summary") self.assertEqual(case.opened_on, d1) self.assertIsNone(case.closed_on) actions = case.actions.order_by("pk") self.assertEqual(len(actions), 1) self.assertEqual(actions[0].action, CaseAction.OPEN) self.assertEqual(actions[0].created_by, self.user1) self.assertEqual(actions[0].created_on, d1) self.assertEqual(actions[0].assignee, self.moh) # message is now attached to the case msg2.refresh_from_db() self.assertEqual(msg2.case, case) # check that opening the case archived the contact's messages mock_archive_contact_messages.assert_called_once_with(self.unicef, self.ann) mock_archive_contact_messages.reset_mock() self.assertEqual(Message.objects.filter(contact=self.ann, is_archived=False).count(), 0) # check that opening the case removed contact from specified suspend groups mock_remove_from_group.assert_called_once_with(self.unicef, self.ann, self.reporters) mock_remove_from_group.reset_mock() # check that contacts groups were suspended self.assertEqual(set(Contact.objects.get(pk=self.ann.pk).groups.all()), {self.females, self.registered}) self.assertEqual(set(Contact.objects.get(pk=self.ann.pk).suspended_groups.all()), {self.reporters}) # check that contact's runs were expired mock_stop_runs.assert_called_once_with(self.unicef, self.ann) mock_stop_runs.reset_mock() # check that calling get_or_open again returns the same case (finds same case on message) case2 = Case.get_or_open(self.unicef, self.user1, msg2, "Summary", self.moh) self.assertFalse(case2.is_new) self.assertEqual(case, case2) # user #2 should be notified of this new case assignment self.assertEqual(Notification.objects.count(), 1) Notification.objects.get(user=self.user2, type=Notification.TYPE_CASE_ASSIGNMENT, case_action=actions[0]) # contact sends a reply msg3 = self.create_message(self.unicef, 432, self.ann, "OK", created_on=d2) handle_messages(self.unicef.pk) # user #1 should be notified of this reply self.assertEqual(Notification.objects.count(), 2) Notification.objects.get(user=self.user1, type=Notification.TYPE_CASE_REPLY, message=msg3) # which will have been archived and added to the case mock_archive_messages.assert_called_once_with(self.unicef, [msg3]) mock_archive_messages.reset_mock() msg3.refresh_from_db() self.assertTrue(msg3.is_archived) self.assertEqual(msg3.case, case) with patch.object(timezone, "now", return_value=d2): # other user in MOH adds a note case.add_note(self.user2, "Interesting") actions = case.actions.order_by("pk") self.assertEqual(len(actions), 2) self.assertEqual(actions[1].action, CaseAction.ADD_NOTE) self.assertEqual(actions[1].created_by, self.user2) self.assertEqual(actions[1].created_on, d2) self.assertEqual(actions[1].note, "Interesting") self.assertEqual(set(case.watchers.all()), {self.user1, self.user2}) # user #1 should be notified of this new note self.assertEqual(Notification.objects.count(), 3) Notification.objects.get(user=self.user1, type=Notification.TYPE_CASE_ACTION, case_action=actions[1]) # user from other partner org can't re-assign or close case self.assertRaises(PermissionDenied, case.reassign, self.user3) self.assertRaises(PermissionDenied, case.close, self.user3) with patch.object(timezone, "now", return_value=d3): # first user closes the case case.close(self.user1) self.assertEqual(case.opened_on, d1) self.assertEqual(case.closed_on, d3) actions = case.actions.order_by("pk") self.assertEqual(len(actions), 3) self.assertEqual(actions[2].action, CaseAction.CLOSE) self.assertEqual(actions[2].created_by, self.user1) self.assertEqual(actions[2].created_on, d3) # user #2 should be notified self.assertEqual(Notification.objects.count(), 4) Notification.objects.get(user=self.user2, type=Notification.TYPE_CASE_ACTION, case_action=actions[2]) # check that contacts groups were restored self.assertEqual( set(Contact.objects.get(pk=self.ann.pk).groups.all()), {self.females, self.reporters, self.registered} ) self.assertEqual(set(Contact.objects.get(pk=self.ann.pk).suspended_groups.all()), set()) mock_add_to_group.assert_called_once_with(self.unicef, self.ann, self.reporters) mock_add_to_group.reset_mock() # check our follow-up flow was started mock_start_flow.assert_called_once_with( self.unicef, followup, self.ann, extra={ "case": { "id": case.id, "assignee": {"id": self.moh.id, "name": "MOH"}, "opened_on": "2015-01-02T07:00:00+00:00", } }, ) mock_start_flow.reset_mock() # contact sends a message after case was closed msg4 = self.create_message(self.unicef, 345, self.ann, "No more case", created_on=d4) handle_messages(self.unicef.pk) # message is not in an open case, so won't have been archived mock_archive_messages.assert_not_called() msg4.refresh_from_db() self.assertFalse(msg4.is_archived) with patch.object(timezone, "now", return_value=d4): # but second user re-opens it case.reopen(self.user2) self.assertEqual(case.opened_on, d1) # unchanged self.assertIsNone(case.closed_on) actions = case.actions.order_by("pk") self.assertEqual(len(actions), 4) self.assertEqual(actions[3].action, CaseAction.REOPEN) self.assertEqual(actions[3].created_by, self.user2) self.assertEqual(actions[3].created_on, d4) # user #1 should be notified self.assertEqual(Notification.objects.count(), 5) Notification.objects.get(user=self.user1, type=Notification.TYPE_CASE_ACTION, case_action=actions[3]) # check that re-opening the case archived the contact's messages again mock_archive_contact_messages.assert_called_once_with(self.unicef, self.ann) msg4.refresh_from_db() self.assertTrue(msg4.is_archived) with patch.object(timezone, "now", return_value=d5): # and re-assigns it to different partner case.reassign(self.user2, self.who) self.assertEqual(case.assignee, self.who) actions = case.actions.order_by("pk") self.assertEqual(len(actions), 5) self.assertEqual(actions[4].action, CaseAction.REASSIGN) self.assertEqual(actions[4].created_by, self.user2) self.assertEqual(actions[4].created_on, d5) self.assertEqual(actions[4].assignee, self.who) # users #1 (a watcher) and #3 (a new assignee) should be notified of this re-assignment self.assertEqual(Notification.objects.count(), 7) Notification.objects.get(user=self.user1, type=Notification.TYPE_CASE_ACTION, case_action=actions[4]) Notification.objects.get(user=self.user3, type=Notification.TYPE_CASE_ASSIGNMENT, case_action=actions[4]) with patch.object(timezone, "now", return_value=d6): # user from that partner re-labels it case.update_labels(self.user3, [self.pregnancy]) actions = case.actions.order_by("pk") self.assertEqual(len(actions), 7) self.assertEqual(actions[5].action, CaseAction.LABEL) self.assertEqual(actions[5].created_by, self.user3) self.assertEqual(actions[5].created_on, d6) self.assertEqual(actions[5].label, self.pregnancy) self.assertEqual(actions[6].action, CaseAction.UNLABEL) self.assertEqual(actions[6].created_by, self.user3) self.assertEqual(actions[6].created_on, d6) self.assertEqual(actions[6].label, self.aids) with patch.object(timezone, "now", return_value=d7): # user from that partner org closes it again case.close(self.user3) self.assertEqual(case.opened_on, d1) self.assertEqual(case.closed_on, d7) actions = case.actions.order_by("pk") self.assertEqual(len(actions), 8) self.assertEqual(actions[7].action, CaseAction.CLOSE) self.assertEqual(actions[7].created_by, self.user3) self.assertEqual(actions[7].created_on, d7) # check our follow-up flow wasn't started since this isn't the first time this case has been closed mock_start_flow.assert_not_called() # check that calling get_or_open again returns the same case (finds case for same message) case3 = Case.get_or_open(self.unicef, self.user1, msg2, "Summary", self.moh) self.assertFalse(case3.is_new) self.assertEqual(case, case3) @patch("casepro.test.TestBackend.add_to_group") @patch("casepro.test.TestBackend.remove_from_group") def test_close_case_when_contact_stopped(self, mock_remove_from_group, mock_add_to_group): msg = self.create_message(self.unicef, 123, self.ann, "Hello 1", [self.aids]) case = Case.get_or_open(self.unicef, self.user1, msg, "Summary", self.moh) # check that opening the case removed contact from specified suspend groups mock_remove_from_group.assert_called_once_with(self.unicef, self.ann, self.reporters) # stop the contact self.ann.is_stopped = True self.ann.save() case.close(self.user1) # check we don't try to put this contact back in their groups mock_add_to_group.assert_not_called() def test_get_all(self): bob = self.create_contact(self.unicef, "C-002", "Bob") cat = self.create_contact(self.unicef, "C-003", "Cat") nic = self.create_contact(self.nyaruka, "C-104", "Nic") msg1 = self.create_message(self.unicef, 123, self.ann, "Hello 1", [self.aids]) msg2 = self.create_message(self.unicef, 234, bob, "Hello 2", [self.aids, self.pregnancy]) msg3 = self.create_message(self.unicef, 345, cat, "Hello 3", [self.pregnancy]) msg4 = self.create_message(self.nyaruka, 456, nic, "Hello 4", [self.code]) case1 = self.create_case(self.unicef, self.ann, self.moh, msg1, [self.aids]) case2 = self.create_case(self.unicef, bob, self.who, msg2, [self.aids, self.pregnancy]) case3 = self.create_case(self.unicef, cat, self.who, msg3, [self.pregnancy]) case4 = self.create_case(self.nyaruka, nic, self.klab, msg4, [self.code]) self.assertEqual(set(Case.get_all(self.unicef)), {case1, case2, case3}) # org admins see all self.assertEqual(set(Case.get_all(self.nyaruka)), {case4}) self.assertEqual(set(Case.get_all(self.unicef, user=self.user1)), {case1, case2, case3}) # case3 by label self.assertEqual(set(Case.get_all(self.unicef, user=self.user2)), {case1, case2, case3}) self.assertEqual(set(Case.get_all(self.unicef, user=self.user3)), {case1, case2, case3}) # case3 by assignment self.assertEqual(set(Case.get_all(self.nyaruka, user=self.user4)), {case4}) self.assertEqual(set(Case.get_all(self.unicef, label=self.aids)), {case1, case2}) self.assertEqual(set(Case.get_all(self.unicef, label=self.pregnancy)), {case2, case3}) self.assertEqual(set(Case.get_all(self.unicef, user=self.user1, label=self.pregnancy)), {case2, case3}) self.assertEqual(set(Case.get_all(self.unicef, user=self.user3, label=self.pregnancy)), {case2, case3}) case2.closed_on = timezone.now() case2.save() self.assertEqual(set(Case.get_open(self.unicef)), {case1, case3}) self.assertEqual(set(Case.get_open(self.unicef, user=self.user1, label=self.pregnancy)), {case3}) self.assertEqual(set(Case.get_closed(self.unicef)), {case2}) self.assertEqual(set(Case.get_closed(self.unicef, user=self.user1, label=self.pregnancy)), {case2}) def test_get_open_for_contact_on(self): d0 = datetime(2014, 1, 5, 0, 0, tzinfo=pytz.UTC) d1 = datetime(2014, 1, 10, 0, 0, tzinfo=pytz.UTC) d2 = datetime(2014, 1, 15, 0, 0, tzinfo=pytz.UTC) # case Jan 5th -> Jan 10th msg1 = self.create_message(self.unicef, 123, self.ann, "Hello", created_on=d0) case1 = self.create_case(self.unicef, self.ann, self.moh, msg1, opened_on=d0, closed_on=d1) # case Jan 15th -> now msg2 = self.create_message(self.unicef, 234, self.ann, "Hello again", created_on=d2) case2 = self.create_case(self.unicef, self.ann, self.moh, msg2, opened_on=d2) # check no cases open on Jan 4th open_case = Case.get_open_for_contact_on(self.unicef, self.ann, datetime(2014, 1, 4, 0, 0, tzinfo=pytz.UTC)) self.assertIsNone(open_case) # check case open on Jan 7th open_case = Case.get_open_for_contact_on(self.unicef, self.ann, datetime(2014, 1, 7, 0, 0, tzinfo=pytz.UTC)) self.assertEqual(open_case, case1) # check no cases open on Jan 13th open_case = Case.get_open_for_contact_on(self.unicef, self.ann, datetime(2014, 1, 13, 0, 0, tzinfo=pytz.UTC)) self.assertIsNone(open_case) # check case open on 20th open_case = Case.get_open_for_contact_on(self.unicef, self.ann, datetime(2014, 1, 16, 0, 0, tzinfo=pytz.UTC)) self.assertEqual(open_case, case2) def test_get_or_open_with_user_assignee(self): """ If a case is opened with the user_assignee field set, the created case should have the assigned user, and the created case action should also have the assigned user. """ msg = self.create_message( self.unicef, 123, self.ann, "Hello", created_on=datetime(2014, 1, 5, 0, 0, tzinfo=pytz.UTC) ) case = Case.get_or_open(self.unicef, self.user2, msg, "Hello", self.moh, user_assignee=self.user1) self.assertEqual(case.user_assignee, self.user1) case_action = CaseAction.objects.get(case=case) self.assertEqual(case_action.user_assignee, self.user1) # only assigned user should be notified self.assertEqual(Notification.objects.count(), 1) Notification.objects.get(user=self.user1, type=Notification.TYPE_CASE_ASSIGNMENT) def test_get_open_no_initial_message_new_case(self): """ We should be able to create a case with no initial message, but by supplying a contact instead. """ case = Case.get_or_open( self.unicef, self.user2, None, "Hello", self.moh, user_assignee=self.user1, contact=self.ann ) self.assertEqual(case.contact, self.ann) self.assertEqual(case.assignee, self.moh) self.assertEqual(case.user_assignee, self.user1) self.assertEqual(case.initial_message, None) self.assertEqual(case.is_new, True) self.assertEqual(list(case.watchers.all()), [self.user2]) [case_action] = list(CaseAction.objects.filter(case=case)) self.assertEqual(case_action.action, CaseAction.OPEN) self.assertEqual(case_action.assignee, self.moh) self.assertEqual(case_action.user_assignee, self.user1) def test_get_open_no_initial_message_existing_case(self): """ When using get_or_open with no initial message, but by supplying a contact, but that contact already has an open case, it should return that case instead of creating a new one. """ case1 = Case.get_or_open( self.unicef, self.user2, None, "Hello", self.moh, user_assignee=self.user1, contact=self.ann ) case2 = Case.get_or_open( self.unicef, self.user2, None, "Hello", self.moh, user_assignee=self.user1, contact=self.ann ) self.assertEqual(case2.is_new, False) self.assertEqual(case1, case2) case1.close(self.user1) case3 = Case.get_or_open( self.unicef, self.user2, None, "Hello", self.moh, user_assignee=self.user1, contact=self.ann ) self.assertEqual(case3.is_new, True) self.assertNotEqual(case2, case3) def test_get_open_no_message_or_contact(self): """ When using get_or_open with no initial message and no existing contact a ValueError should be raised. """ self.assertRaises( ValueError, Case.get_or_open, self.unicef, self.user2, None, "Hello", self.moh, user_assignee=self.user1, contact=None, ) def test_search(self): d1 = datetime(2014, 1, 9, 0, 0, tzinfo=pytz.UTC) d2 = datetime(2014, 1, 10, 0, 0, tzinfo=pytz.UTC) d3 = datetime(2014, 1, 11, 0, 0, tzinfo=pytz.UTC) d4 = datetime(2014, 1, 12, 0, 0, tzinfo=pytz.UTC) d5 = datetime(2014, 1, 13, 0, 0, tzinfo=pytz.UTC) bob = self.create_contact(self.unicef, "C-002", "Bob") cat = self.create_contact(self.unicef, "C-003", "Cat") don = self.create_contact(self.unicef, "C-004", "Don") nic = self.create_contact(self.nyaruka, "C-005", "Nic") msg1 = self.create_message(self.unicef, 101, self.ann, "Hello 1") msg2 = self.create_message(self.unicef, 102, self.ann, "Hello 2") msg3 = self.create_message(self.unicef, 103, bob, "Hello 3") msg4 = self.create_message(self.unicef, 104, cat, "Hello 4") msg5 = self.create_message(self.unicef, 105, cat, "Hello 5") case1 = self.create_case(self.unicef, self.ann, self.moh, msg1, opened_on=d1, closed_on=d2) case2 = self.create_case(self.unicef, self.ann, self.moh, msg2, opened_on=d2) case3 = self.create_case(self.unicef, bob, self.who, msg3, opened_on=d3) case4 = self.create_case(self.unicef, cat, self.who, msg4, opened_on=d4) case5 = self.create_case(self.unicef, don, self.who, msg5, opened_on=d5, user_assignee=self.user3) # other org msg5 = self.create_message(self.nyaruka, 106, nic, "Hello") self.create_case(self.nyaruka, nic, self.klab, msg5) def assert_search(user, params, results): self.assertEqual(list(Case.search(self.unicef, user, params)), results) # by org admin (sees all cases) assert_search(self.admin, {"folder": CaseFolder.open}, [case5, case4, case3, case2]) assert_search(self.admin, {"folder": CaseFolder.closed}, [case1]) # by partner user (sees only cases assigned to them) assert_search(self.user1, {"folder": CaseFolder.open}, [case2]) assert_search(self.user1, {"folder": CaseFolder.closed}, [case1]) # by assignee (partner) assert_search(self.user1, {"folder": CaseFolder.open, "assignee": self.moh.id}, [case2]) assert_search(self.user1, {"folder": CaseFolder.open, "assignee": self.who.id}, []) # user not in that partner assert_search(self.user3, {"folder": CaseFolder.open, "assignee": self.who.id}, [case5, case4, case3]) # by assignee (user) assert_search(self.user1, {"folder": CaseFolder.open, "user_assignee": self.user1.id}, []) assert_search(self.user1, {"folder": CaseFolder.open, "user_assignee": self.user3.id}, []) assert_search(self.user3, {"folder": CaseFolder.open, "user_assignee": self.user3.id}, [case5]) assert_search(self.user3, {"folder": CaseFolder.all, "user_assignee": self.user3.id}, [case5]) # by before/after assert_search(self.admin, {"folder": CaseFolder.open, "before": d2}, [case2]) assert_search(self.admin, {"folder": CaseFolder.open, "after": d3}, [case5, case4, case3]) def test_access_level(self): msg = self.create_message(self.unicef, 234, self.ann, "Hello") case = self.create_case(self.unicef, self.ann, self.moh, msg, [self.aids]) self.assertEqual(case.access_level(self.superuser), AccessLevel.update) # superusers can update self.assertEqual(case.access_level(self.admin), AccessLevel.update) # admins can update self.assertEqual(case.access_level(self.user1), AccessLevel.update) # user from assigned partner can update self.assertEqual(case.access_level(self.user3), AccessLevel.read) # user from other partner can read bc labels self.assertEqual(case.access_level(self.user4), AccessLevel.none) # user from different org class CaseCRUDLTest(BaseCasesTest): def setUp(self): super(CaseCRUDLTest, self).setUp() self.ann = self.create_contact( self.unicef, "C-001", "Ann", fields={"age": "34"}, groups=[self.females, self.reporters] ) self.msg = self.create_message(self.unicef, 101, self.ann, "Hello", [self.aids]) self.case = self.create_case( self.unicef, self.ann, self.moh, self.msg, [self.aids], summary="Summary", user_assignee=self.user1 ) @patch("casepro.test.TestBackend.archive_contact_messages") @patch("casepro.test.TestBackend.stop_runs") @patch("casepro.test.TestBackend.add_to_group") @patch("casepro.test.TestBackend.remove_from_group") def test_open(self, mock_remove_contacts, mock_add_contacts, mock_stop_runs, mock_archive_contact_messages): CaseAction.objects.all().delete() Message.objects.update(case=None) Case.objects.all().delete() Message.objects.all().delete() msg1 = self.create_message(self.unicef, 101, self.ann, "Hello", [self.aids]) url = reverse("cases.case_open") # log in as an administrator self.login(self.admin) response = self.url_post_json( "unicef", url, {"message": 101, "summary": "Summary", "assignee": self.moh.pk, "user_assignee": self.user1.pk}, ) self.assertEqual(response.status_code, 200) self.assertEqual(response.json["summary"], "Summary") self.assertEqual(response.json["is_new"], True) self.assertEqual(response.json["watching"], True) case1 = Case.objects.get(pk=response.json["id"]) self.assertEqual(case1.initial_message, msg1) self.assertEqual(case1.summary, "Summary") self.assertEqual(case1.assignee, self.moh) self.assertEqual(case1.user_assignee, self.user1) self.assertEqual(set(case1.labels.all()), {self.aids}) self.assertEqual(case1.contact, msg1.contact) # try again as a non-administrator who can't create cases for other partner orgs rick = self.create_contact(self.unicef, "C-002", "Richard") msg2 = self.create_message(self.unicef, 102, rick, "Hello", [self.aids]) # log in as a non-administrator self.login(self.user1) response = self.url_post_json("unicef", url, {"message": 102, "summary": "Summary"}) self.assertEqual(response.status_code, 200) case2 = Case.objects.get(pk=response.json["id"]) self.assertEqual(case2.initial_message, msg2) self.assertEqual(case2.summary, "Summary") self.assertEqual(case2.assignee, self.moh) self.assertEqual(set(case2.labels.all()), {self.aids}) def test_open_user_assignee_not_member_of_partner(self): """ If the user specified in user_assignee is not a member of the partner specified by assignee, then a not found error should be returned. """ self.login(self.admin) msg = self.create_message(self.unicef, 102, self.ann, "Hello", [self.aids]) response = self.url_post_json( "unicef", reverse("cases.case_open"), {"message": msg.backend_id, "summary": "Summary", "assignee": self.moh.pk, "user_assignee": self.user3.pk}, ) self.assertEqual(response.status_code, 404) def test_open_no_message_id(self): """ If a case is opened, and no initial message is supplied, but instead a contact is supplied, the case should open with a contact and no initial message instead of getting the contact from the initial message. """ contact = self.create_contact(self.unicef, "C-002", "TestContact") contact.urns = ["tel:+27741234567"] contact.save() url = reverse("cases.case_open") self.login(self.admin) response = self.url_post_json( "unicef", url, { "message": None, "summary": "Summary", "assignee": self.moh.pk, "user_assignee": self.user1.pk, "urn": contact.urns[0], }, ) self.assertEqual(response.status_code, 200) case = Case.objects.get(pk=response.json["id"]) self.assertEqual(case.initial_message, None) self.assertEqual(case.contact, contact) def test_open_no_message_id_new_contact(self): """ If a case is opened, and no initial message is supplied, but an URN is supplied instead, and the URN doesn't match any existing users, then a new contact should be created, and the case assigned to that contact. """ url = reverse("cases.case_open") self.login(self.admin) response = self.url_post_json( "unicef", url, { "message": None, "summary": "Summary", "assignee": self.moh.pk, "user_assignee": self.user1.pk, "urn": "tel:+27741234567", }, ) self.assertEqual(response.status_code, 200) case = Case.objects.get(pk=response.json["id"]) self.assertEqual(case.initial_message, None) self.assertEqual(case.contact.urns, ["tel:+27741234567"]) def test_read(self): url = reverse("cases.case_read", args=[self.case.pk]) # log in as non-administrator self.login(self.user1) response = self.url_get("unicef", url) self.assertEqual(response.status_code, 200) def test_note(self): url = reverse("cases.case_note", args=[self.case.pk]) # log in as manager user in assigned partner self.login(self.user1) response = self.url_post_json("unicef", url, {"note": "This is a note"}) self.assertEqual(response.status_code, 204) action = CaseAction.objects.get() self.assertEqual(action.org, self.case.org) self.assertEqual(action.case, self.case) self.assertEqual(action.action, CaseAction.ADD_NOTE) self.assertEqual(action.note, "This is a note") self.assertEqual(action.created_by, self.user1) # users from other partners with label access are allowed to add notes self.login(self.user3) response = self.url_post_json("unicef", url, {"note": "This is another note"}) self.assertEqual(response.status_code, 204) # but not if they lose label-based access self.case.update_labels(self.admin, [self.pregnancy]) response = self.url_post_json("unicef", url, {"note": "Yet another"}) self.assertEqual(response.status_code, 403) # and users from other orgs certainly aren't allowed to self.login(self.user4) response = self.url_post_json("unicef", url, {"note": "Hey guys"}) self.assertEqual(response.status_code, 302) def test_reassign(self): url = reverse("cases.case_reassign", args=[self.case.pk]) # log in as manager user in currently assigned partner self.login(self.user1) response = self.url_post_json("unicef", url, {"assignee": self.who.pk, "user_assignee": self.user3.pk}) self.assertEqual(response.status_code, 204) action = CaseAction.objects.get() self.assertEqual(action.case, self.case) self.assertEqual(action.action, CaseAction.REASSIGN) self.assertEqual(action.created_by, self.user1) self.assertEqual(action.user_assignee, self.user3) self.case.refresh_from_db() self.assertEqual(self.case.assignee, self.who) self.assertEqual(self.case.user_assignee, self.user3) # only user from assigned partner can re-assign response = self.url_post_json("unicef", url, {"assignee": self.moh.pk}) self.assertEqual(response.status_code, 403) # can only be assigned to user from assigned partner response = self.url_post_json("unicef", url, {"assignee": self.who.pk, "user_assignee": self.user2.pk}) self.assertEqual(response.status_code, 404) # only the assigned user should get a notification self.assertEqual(Notification.objects.count(), 1) self.assertEqual(Notification.objects.get().user, self.user3) def test_reassign_no_user(self): """The user field should be optional, and reassignment should still work without it.""" url = reverse("cases.case_reassign", args=[self.case.pk]) # log in as manager user in currently assigned partner self.login(self.user1) response = self.url_post_json("unicef", url, {"assignee": self.who.pk, "user_assignee": None}) self.assertEqual(response.status_code, 204) # notifies users in that partner org self.assertEqual(Notification.objects.count(), 1) self.assertEqual(Notification.objects.get().user, self.user3) def test_close(self): url = reverse("cases.case_close", args=[self.case.pk]) # log in as manager user in currently assigned partner self.login(self.user1) response = self.url_post_json("unicef", url, {"note": "It's over"}) self.assertEqual(response.status_code, 204) action = CaseAction.objects.get() self.assertEqual(action.case, self.case) self.assertEqual(action.action, CaseAction.CLOSE) self.assertEqual(action.created_by, self.user1) self.case.refresh_from_db() self.assertIsNotNone(self.case.closed_on) # only user from assigned partner can close self.login(self.user3) self.case.reopen(self.admin, "Because") response = self.url_post_json("unicef", url, {"note": "It's over"}) self.assertEqual(response.status_code, 403) def test_reopen(self): self.case.close(self.admin, "Done") url = reverse("cases.case_reopen", args=[self.case.pk]) # log in as manager user in currently assigned partner self.login(self.user1) response = self.url_post_json("unicef", url, {"note": "Unfinished business"}) self.assertEqual(response.status_code, 204) action = CaseAction.objects.get(created_by=self.user1) self.assertEqual(action.case, self.case) self.assertEqual(action.action, CaseAction.REOPEN) self.case.refresh_from_db() self.assertIsNone(self.case.closed_on) # only user from assigned partner can reopen self.login(self.user3) self.case.close(self.admin, "Done") response = self.url_post_json("unicef", url, {"note": "Unfinished business"}) self.assertEqual(response.status_code, 403) def test_label(self): url = reverse("cases.case_label", args=[self.case.pk]) # log in as manager user in currently assigned partner self.login(self.user1) # add additional label to case which this user can't access self.case.labels.add(self.tea) response = self.url_post_json("unicef", url, {"labels": [self.pregnancy.pk]}) self.assertEqual(response.status_code, 204) actions = CaseAction.objects.filter(case=self.case).order_by("pk") self.assertEqual(len(actions), 2) self.assertEqual(actions[0].action, CaseAction.LABEL) self.assertEqual(actions[0].label, self.pregnancy) self.assertEqual(actions[1].action, CaseAction.UNLABEL) self.assertEqual(actions[1].label, self.aids) # check that tea label wasn't removed as this user doesn't have access to that label self.case.refresh_from_db() self.assertEqual(set(self.case.labels.all()), {self.pregnancy, self.tea}) # only user from assigned partner can label self.login(self.user3) response = self.url_post_json("unicef", url, {"labels": [self.aids.pk]}) self.assertEqual(response.status_code, 403) def test_update_summary(self): url = reverse("cases.case_update_summary", args=[self.case.pk]) # log in as manager user in currently assigned partner self.login(self.user1) response = self.url_post_json("unicef", url, {"summary": "New summary"}) self.assertEqual(response.status_code, 204) action = CaseAction.objects.get(case=self.case) self.assertEqual(action.action, CaseAction.UPDATE_SUMMARY) self.case.refresh_from_db() self.assertEqual(self.case.summary, "New summary") # only user from assigned partner can change the summary self.login(self.user3) response = self.url_post_json("unicef", url, {"summary": "Something else"}) self.assertEqual(response.status_code, 403) def test_reply(self): url = reverse("cases.case_reply", args=[self.case.pk]) # log in as manager user in currently assigned partner self.login(self.user1) response = self.url_post_json("unicef", url, {"text": "We can help"}) self.assertEqual(response.status_code, 200) outgoing = Outgoing.objects.get() self.assertEqual(outgoing.activity, Outgoing.CASE_REPLY) self.assertEqual(outgoing.text, "We can help") self.assertEqual(outgoing.created_by, self.user1) # only user from assigned partner can reply self.login(self.user3) response = self.url_post_json("unicef", url, {"text": "Hi"}) self.assertEqual(response.status_code, 403) def test_fetch(self): url = reverse("cases.case_fetch", args=[self.case.pk]) # log in as manager user in currently assigned partner self.login(self.user1) response = self.url_get("unicef", url) self.assertEqual(response.status_code, 200) self.assertEqual( response.json, { "id": self.case.pk, "contact": {"id": self.ann.pk, "display": "Ann"}, "assignee": {"id": self.moh.pk, "name": "MOH"}, "labels": [{"id": self.aids.pk, "name": "AIDS"}], "summary": "Summary", "opened_on": format_iso8601(self.case.opened_on), "is_closed": False, "watching": False, "user_assignee": {"id": self.user1.pk, "name": "Evan"}, }, ) # users with label access can also fetch self.login(self.user3) response = self.url_get("unicef", url) self.assertEqual(response.status_code, 200) @patch("casepro.test.TestBackend.fetch_contact_messages") def test_timeline(self, mock_fetch_contact_messages): CaseAction.objects.all().delete() Message.objects.update(case=None) Case.objects.all().delete() Message.objects.all().delete() d0 = datetime(2014, 1, 2, 12, 0, tzinfo=pytz.UTC) d1 = datetime(2014, 1, 2, 13, 0, tzinfo=pytz.UTC) d2 = datetime(2014, 1, 2, 14, 0, tzinfo=pytz.UTC) # local message before case time window self.create_message(self.unicef, 100, self.ann, "Unrelated", [], created_on=d0) # create and open case msg1 = self.create_message(self.unicef, 101, self.ann, "What is AIDS?", [self.aids], created_on=d1) case = self.create_case(self.unicef, self.ann, self.moh, msg1, user_assignee=self.user1) CaseAction.create(case, self.user1, CaseAction.OPEN, assignee=self.moh, user_assignee=self.user1) # backend has a message in the case time window that we don't have locally remote_message1 = Outgoing( backend_broadcast_id=102, contact=self.ann, text="Non casepro message...", created_on=d2 ) mock_fetch_contact_messages.return_value = [remote_message1] timeline_url = reverse("cases.case_timeline", args=[case.pk]) # log in as non-administrator self.login(self.user1) # request all of a timeline up to now response = self.url_get("unicef", "%s?after=" % timeline_url) t0 = microseconds_to_datetime(response.json["max_time"]) self.assertEqual(len(response.json["results"]), 3) self.assertEqual(response.json["results"][0]["type"], "I") self.assertEqual(response.json["results"][0]["item"]["text"], "What is AIDS?") self.assertEqual(response.json["results"][0]["item"]["contact"], {"id": self.ann.pk, "display": "Ann"}) self.assertEqual( response.json["results"][0]["item"]["case"]["user_assignee"], {"id": self.user1.pk, "name": "Evan"} ) self.assertEqual(response.json["results"][1]["type"], "O") self.assertEqual(response.json["results"][1]["item"]["text"], "Non casepro message...") self.assertEqual(response.json["results"][1]["item"]["contact"], {"id": self.ann.pk, "display": "Ann"}) self.assertEqual(response.json["results"][2]["type"], "A") self.assertEqual(response.json["results"][2]["item"]["action"], "O") # as this was the initial request, messages will have been fetched from the backend mock_fetch_contact_messages.assert_called_once_with(self.unicef, self.ann, d1, t0) mock_fetch_contact_messages.reset_mock() mock_fetch_contact_messages.return_value = [] # page looks for new timeline activity response = self.url_get("unicef", "%s?after=%s" % (timeline_url, datetime_to_microseconds(t0))) t1 = microseconds_to_datetime(response.json["max_time"]) self.assertEqual(len(response.json["results"]), 0) # messages won't have been fetched from the backend this time self.assertNotCalled(mock_fetch_contact_messages) # another user adds a note case.add_note(self.user2, "Looks interesting") # page again looks for new timeline activity response = self.url_get("unicef", "%s?after=%s" % (timeline_url, datetime_to_microseconds(t1))) t2 = microseconds_to_datetime(response.json["max_time"]) self.assertNotCalled(mock_fetch_contact_messages) self.assertEqual(len(response.json["results"]), 1) self.assertEqual(response.json["results"][0]["type"], "A") self.assertEqual(response.json["results"][0]["item"]["note"], "Looks interesting") # user sends an outgoing message d3 = timezone.now() outgoing = Outgoing.create_case_reply(self.unicef, self.user1, "It's bad", case) outgoing.backend_broadcast_id = 202 outgoing.save() # page again looks for new timeline activity response = self.url_get("unicef", "%s?after=%s" % (timeline_url, datetime_to_microseconds(t2))) t3 = microseconds_to_datetime(response.json["max_time"]) self.assertEqual(len(response.json["results"]), 1) self.assertEqual(response.json["results"][0]["type"], "O") self.assertEqual(response.json["results"][0]["item"]["text"], "It's bad") # contact sends a reply d4 = timezone.now() self.create_message(self.unicef, 104, self.ann, "OK thanks", created_on=d4) handle_messages(self.unicef.pk) # page again looks for new timeline activity response = self.url_get("unicef", "%s?after=%s" % (timeline_url, datetime_to_microseconds(t3))) t4 = microseconds_to_datetime(response.json["max_time"]) self.assertEqual(len(response.json["results"]), 1) self.assertEqual(response.json["results"][0]["type"], "I") self.assertEqual(response.json["results"][0]["item"]["text"], "OK thanks") # page again looks for new timeline activity response = self.url_get("unicef", "%s?after=%s" % (timeline_url, datetime_to_microseconds(t4))) t5 = microseconds_to_datetime(response.json["max_time"]) self.assertEqual(len(response.json["results"]), 0) # user closes case case.close(self.user1) # contact sends new message after that d5 = timezone.now() self.create_message(self.unicef, 105, self.ann, "But wait", created_on=d5) handle_messages(self.unicef.pk) # page again looks for new timeline activity response = self.url_get("unicef", "%s?after=%s" % (timeline_url, datetime_to_microseconds(t5))) t6 = microseconds_to_datetime(response.json["max_time"]) # should show the close action but not the message after it self.assertEqual(len(response.json["results"]), 1) self.assertEqual(response.json["results"][0]["type"], "A") self.assertEqual(response.json["results"][0]["item"]["action"], "C") # another look for new timeline activity response = self.url_get("unicef", "%s?after=%s" % (timeline_url, datetime_to_microseconds(t6))) # nothing to see self.assertEqual(len(response.json["results"]), 0) # user now refreshes page... # backend has the message sent during the case as well as the unrelated message mock_fetch_contact_messages.return_value = [ Outgoing(backend_broadcast_id=202, contact=self.ann, text="It's bad", created_on=d3), remote_message1, ] # which requests all of the timeline up to now response = self.url_get("unicef", "%s?after=" % timeline_url) items = response.json["results"] self.assertEqual(len(items), 7) self.assertEqual(items[0]["type"], "I") self.assertEqual(items[0]["item"]["text"], "What is AIDS?") self.assertEqual(items[0]["item"]["contact"], {"id": self.ann.pk, "display": "Ann"}) self.assertEqual(items[1]["type"], "O") self.assertEqual(items[1]["item"]["text"], "Non casepro message...") self.assertEqual(items[1]["item"]["contact"], {"id": self.ann.pk, "display": "Ann"}) self.assertEqual(items[1]["item"]["sender"], None) self.assertEqual(items[2]["type"], "A") self.assertEqual(items[2]["item"]["action"], "O") self.assertEqual(items[3]["type"], "A") self.assertEqual(items[3]["item"]["action"], "N") self.assertEqual(items[4]["type"], "O") self.assertEqual(items[4]["item"]["sender"], {"id": self.user1.pk, "name": "Evan"}) self.assertEqual(items[5]["type"], "I") self.assertEqual(items[5]["item"]["text"], "OK thanks") self.assertEqual(items[6]["type"], "A") self.assertEqual(items[6]["item"]["action"], "C") # as this was the initial request, messages will have been fetched from the backend mock_fetch_contact_messages.assert_called_once_with(self.unicef, self.ann, d1, case.closed_on) mock_fetch_contact_messages.reset_mock() def test_timeline_no_initial_message(self): """ If a case has no initial message, the timeline should start from the datetime it was opened. """ case = self.create_case(self.unicef, self.ann, self.moh, message=None, user_assignee=self.user1) caseaction = CaseAction.create(case, self.user1, CaseAction.OPEN, assignee=self.moh, user_assignee=self.user1) timeline_url = reverse("cases.case_timeline", args=[case.pk]) self.login(self.user1) response = self.url_get("unicef", "%s?after=" % timeline_url) [case_open] = response.json["results"] self.assertEqual(case_open["item"]["action"], CaseAction.OPEN) self.assertEqual(case_open["item"]["id"], caseaction.pk) def test_search(self): url = reverse("cases.case_search") # create another case msg2 = self.create_message(self.unicef, 102, self.ann, "I ♡ RapidPro") case2 = self.create_case(self.unicef, self.ann, self.who, msg2) # try unauthenticated response = self.url_get("unicef", url) self.assertLoginRedirect(response, url) # test as org administrator self.login(self.admin) response = self.url_get("unicef", url, {"folder": "open"}) self.assertEqual( response.json["results"], [ { "id": case2.pk, "assignee": {"id": self.who.pk, "name": "WHO"}, "user_assignee": None, "contact": {"id": self.ann.pk, "display": "Ann"}, "labels": [], "summary": "", "opened_on": format_iso8601(case2.opened_on), "is_closed": False, }, { "id": self.case.pk, "assignee": {"id": self.moh.pk, "name": "MOH"}, "user_assignee": {"id": self.user1.pk, "name": "Evan"}, "contact": {"id": self.ann.pk, "display": "Ann"}, "labels": [{"id": self.aids.pk, "name": "AIDS"}], "summary": "Summary", "opened_on": format_iso8601(self.case.opened_on), "is_closed": False, }, ], ) # test as partner user self.login(self.user1) response = self.url_get("unicef", url, {"folder": "open"}) self.assertEqual( response.json["results"], [ { "id": self.case.pk, "assignee": {"id": self.moh.pk, "name": "MOH"}, "user_assignee": {"id": self.user1.pk, "name": "Evan"}, "contact": {"id": self.ann.pk, "display": "Ann"}, "labels": [{"id": self.aids.pk, "name": "AIDS"}], "summary": "Summary", "opened_on": format_iso8601(self.case.opened_on), "is_closed": False, } ], ) def test_watch_and_unwatch(self): watch_url = reverse("cases.case_watch", args=[self.case.pk]) unwatch_url = reverse("cases.case_unwatch", args=[self.case.pk]) # log in as manager user in currently assigned partner self.login(self.user1) response = self.url_post("unicef", watch_url) self.assertEqual(response.status_code, 204) self.assertIn(self.user1, self.case.watchers.all()) response = self.url_post("unicef", unwatch_url) self.assertEqual(response.status_code, 204) self.assertNotIn(self.user1, self.case.watchers.all()) # only user with case access can watch self.who.labels.remove(self.aids) self.login(self.user3) response = self.url_post("unicef", watch_url) self.assertEqual(response.status_code, 403) self.assertNotIn(self.user3, self.case.watchers.all()) class CaseExportCRUDLTest(BaseCasesTest): @override_settings(CELERY_TASK_ALWAYS_EAGER=True, CELERY_TASK_EAGER_PROPAGATES=True) def test_create_and_read(self): ann = self.create_contact( self.unicef, "C-001", "Ann", fields={"nickname": "Annie", "age": "28", "state": "WA"} ) bob = self.create_contact(self.unicef, "C-002", "Bob", fields={"age": "32", "state": "IN"}) cat = self.create_contact(self.unicef, "C-003", "Cat", fields={"age": "64", "state": "CA"}) don = self.create_contact(self.unicef, "C-004", "Don", fields={"age": "22", "state": "NV"}) msg1 = self.create_message(self.unicef, 101, ann, "What is HIV?") msg2 = self.create_message(self.unicef, 102, bob, "I ♡ RapidPro") msg3 = self.create_message(self.unicef, 103, cat, "Hello") msg4 = self.create_message(self.unicef, 104, don, "Yo") case1 = self.create_case(self.unicef, ann, self.moh, msg1, [self.aids], summary="What is HIV?") case2 = self.create_case(self.unicef, bob, self.who, msg2, [self.pregnancy], summary="I ♡ RapidPro") self.create_case(self.unicef, cat, self.who, msg3, [], summary="Hello") case4 = self.create_case(self.unicef, don, self.moh, msg4, []) case4.close(self.user1) # add some messages to first case self.create_outgoing(self.unicef, self.user1, 201, Outgoing.CASE_REPLY, "Good question", ann, case=case1) self.create_message(self.unicef, 105, ann, "I know", case=case1) self.create_outgoing(self.unicef, self.user1, 202, Outgoing.CASE_REPLY, "It's bad", ann, case=case1) self.create_message(self.unicef, 106, ann, "Ok", case=case1) self.create_message(self.unicef, 107, ann, "U-Report rocks!", case=case1) # log in as a non-administrator self.login(self.user1) response = self.url_post("unicef", "%s?folder=open" % reverse("cases.caseexport_create")) self.assertEqual(response.status_code, 200) export = CaseExport.objects.get() self.assertEqual(export.created_by, self.user1) workbook = self.openWorkbook(export.filename) sheet = workbook.sheets()[0] self.assertEqual(sheet.nrows, 3) self.assertExcelRow( sheet, 0, [ "Message On", "Opened On", "Closed On", "Assigned Partner", "Labels", "Summary", "Messages Sent", "Messages Received", "Contact", "Nickname", "Age", ], ) self.assertExcelRow( sheet, 1, [msg2.created_on, case2.opened_on, "", "WHO", "Pregnancy", "I ♡ RapidPro", 0, 0, "C-002", "", "32"], pytz.UTC, ) self.assertExcelRow( sheet, 2, [msg1.created_on, case1.opened_on, "", "MOH", "AIDS", "What is HIV?", 2, 3, "C-001", "Annie", "28"], pytz.UTC, ) read_url = reverse("cases.caseexport_read", args=[export.pk]) response = self.url_get("unicef", read_url) self.assertEqual(response.status_code, 200) self.assertEqual(response.context["download_url"], "/caseexport/download/%d/?download=1" % export.pk) # user from another org can't access this download self.login(self.norbert) response = self.url_get("unicef", read_url) self.assertEqual(response.status_code, 302) @override_settings(CELERY_TASK_ALWAYS_EAGER=True, CELERY_TASK_EAGER_PROPAGATES=True) def test_create_with_no_initial_message(self): """When a case is exported with initial_message=None, the field should be a blank string.""" ann = self.create_contact(self.unicef, "C-001", "Ann") case = self.create_case(self.unicef, ann, self.moh, None, [self.aids], summary="What is HIV?") self.login(self.user1) self.url_post("unicef", "%s?folder=open" % reverse("cases.caseexport_create")) export = CaseExport.objects.get() workbook = self.openWorkbook(export.filename) sheet = workbook.sheets()[0] self.assertExcelRow( sheet, 0, [ "Message On", "Opened On", "Closed On", "Assigned Partner", "Labels", "Summary", "Messages Sent", "Messages Received", "Contact", "Nickname", "Age", ], ) self.assertExcelRow( sheet, 1, ["", case.opened_on, "", self.moh.name, self.aids.name, "What is HIV?", 0, 0, ann.uuid, "", ""], pytz.UTC, ) class InboxViewsTest(BaseCasesTest): def test_inbox(self): url = reverse("cases.inbox") response = self.url_get("unicef", url) self.assertLoginRedirect(response, url) # log in as administrator self.login(self.admin) response = self.url_get("unicef", url) self.assertContains(response, "Administration") # org-level users admin menu self.assertContains(response, "/org/home/") # and link to org dashboard # log in as partner manager self.login(self.user1) response = self.url_get("unicef", url) self.assertNotContains(response, "Administration") self.assertNotContains(response, "/org/home/") self.assertContains(response, "/partner/read/%d/" % self.moh.pk) # partner users get link to partner dashboard self.assertContains(response, "Message Board") self.assertContains(response, "/messageboard/") class PartnerTest(BaseCasesTest): def test_create(self): wfp = Partner.create(self.unicef, "WFP", "World Food Program", None, True, [self.aids, self.pregnancy]) self.assertEqual(wfp.org, self.unicef) self.assertEqual(wfp.name, "WFP") self.assertEqual(str(wfp), "WFP") self.assertEqual(set(wfp.get_labels()), {self.aids, self.pregnancy}) # create some users for this partner jim = self.create_user(self.unicef, wfp, ROLE_MANAGER, "Jim", "[email protected]") kim = self.create_user(self.unicef, wfp, ROLE_ANALYST, "Kim", "[email protected]") self.assertEqual(set(wfp.get_users()), {jim, kim}) self.assertEqual(set(wfp.get_managers()), {jim}) self.assertEqual(set(wfp.get_analysts()), {kim}) # set kim as the primary contact for the wfp partner wfp.primary_contact = kim wfp.save() self.assertEqual(wfp.primary_contact, kim) # create a partner which is not restricted by labels internal = Partner.create(self.unicef, "Internal", "Internal Description", None, False, []) self.assertEqual(set(internal.get_labels()), {self.aids, self.pregnancy, self.tea}) # can't create an unrestricted partner with labels self.assertRaises( ValueError, Partner.create, self.unicef, "Testers", "Testers Description", None, False, [self.aids] ) def test_release(self): self.who.release() self.assertFalse(self.who.is_active) self.assertIsNone(User.objects.get(pk=self.user3.pk).get_partner(self.unicef)) # user will have been detached class PartnerCRUDLTest(BaseCasesTest): def test_create(self): url = reverse("cases.partner_create") # can't access as partner user self.login(self.user1) response = self.url_get("unicef", url) self.assertLoginRedirect(response, url) self.login(self.admin) response = self.url_get("unicef", url) self.assertEqual(response.status_code, 200) self.assertEqual( list(response.context["form"].fields.keys()), ["name", "description", "logo", "is_restricted", "labels", "loc"], ) # create label restricted partner response = self.url_post( "unicef", url, { "name": "Helpers", "description": "Helpers Description", "logo": "", "is_restricted": True, "labels": [self.tea.pk], }, ) helpers = Partner.objects.get(name="Helpers") self.assertRedirects(response, "/partner/read/%d/" % helpers.pk, fetch_redirect_response=False) self.assertTrue(helpers.is_restricted) self.assertEqual(set(helpers.get_labels()), {self.tea}) self.assertEqual(helpers.description, "Helpers Description") self.assertEqual(helpers.primary_contact, None) # create unrestricted partner response = self.url_post( "unicef", url, {"name": "Internal", "logo": "", "is_restricted": False, "labels": [self.tea.pk]} ) self.assertEqual(response.status_code, 302) internal = Partner.objects.get(name="Internal") self.assertFalse(internal.is_restricted) self.assertEqual(set(internal.labels.all()), set()) # submitted labels are ignored self.assertEqual(set(internal.get_labels()), {self.aids, self.pregnancy, self.tea}) self.assertEqual(internal.description, "") # remove all labels and check that form is still usable Label.objects.all().delete() response = self.url_get("unicef", url) self.assertEqual(response.status_code, 200) response = self.url_post( "unicef", url, {"name": "Labelless", "description": "No labels", "logo": "", "is_restricted": True} ) self.assertEqual(response.status_code, 302) Partner.objects.get(name="Labelless") def test_read(self): url = reverse("cases.partner_read", args=[self.moh.pk]) # manager user from same partner gets full view of their own partner org self.login(self.user1) response = self.url_get("unicef", url) self.assertEqual(response.status_code, 200) self.assertEqual(response.context["can_manage"], True) self.assertEqual(response.context["can_view_replies"], True) # data-analyst user from same partner gets can't edit users self.login(self.user2) response = self.url_get("unicef", url) self.assertEqual(response.context["can_manage"], False) self.assertEqual(response.context["can_view_replies"], True) # user from different partner but same org has limited view self.login(self.user3) response = self.url_get("unicef", url) self.assertEqual(response.status_code, 200) self.assertEqual(response.context["can_manage"], False) self.assertEqual(response.context["can_view_replies"], False) # user from different org can't self.login(self.user4) response = self.url_get("unicef", url) self.assertLoginRedirect(response, url) def test_update(self): url = reverse("cases.partner_update", args=[self.moh.pk]) # login as analyst user self.login(self.user2) response = self.url_get("unicef", url) self.assertLoginRedirect(response, url) # login as manager user self.login(self.user1) # get update page response = self.url_get("unicef", url) self.assertEqual(response.status_code, 200) self.assertEqual( list(response.context["form"].fields.keys()), ["name", "description", "primary_contact", "logo", "is_restricted", "labels", "loc"], ) # post update without name field response = self.url_post("unicef", url) self.assertFormError(response, "form", "name", "This field is required.") # post name change response = self.url_post("unicef", url, {"name": "MOH2"}) self.assertRedirects(response, "/partner/read/%d/" % self.moh.pk, fetch_redirect_response=False) moh = Partner.objects.get(pk=self.moh.pk) self.assertEqual(moh.name, "MOH2") # post primary contact change response = self.url_post("unicef", url, {"name": "MOH", "primary_contact": self.user1.pk}) self.assertRedirects(response, "/partner/read/%d/" % self.moh.pk, fetch_redirect_response=False) moh = Partner.objects.get(pk=self.moh.pk) self.assertEqual(moh.primary_contact, self.user1) def test_delete(self): url = reverse("cases.partner_delete", args=[self.moh.pk]) # try first as manager (not allowed) self.login(self.user1) response = self.url_post("unicef", url) self.assertLoginRedirect(response, url) self.assertTrue(Partner.objects.get(pk=self.moh.pk).is_active) # try again as administrator self.login(self.admin) response = self.url_post("unicef", url) self.assertEqual(response.status_code, 204) self.assertFalse(Partner.objects.get(pk=self.moh.pk).is_active) def test_list(self): url = reverse("cases.partner_list") # try as regular user self.login(self.user2) response = self.url_get("unicef", url) self.assertEqual(response.status_code, 200) partners = list(response.context["object_list"]) self.assertEqual(len(partners), 2) self.assertEqual(partners[0].name, "MOH") self.assertEqual(partners[1].name, "WHO") response = self.url_get("unicef", url, HTTP_X_REQUESTED_WITH="XMLHttpRequest") self.assertEqual( response.json, { "results": [ {"id": self.moh.pk, "name": "MOH", "restricted": True}, {"id": self.who.pk, "name": "WHO", "restricted": True}, ] }, ) response = self.url_get("unicef", url + "?with_activity=1", HTTP_X_REQUESTED_WITH="XMLHttpRequest") self.assertEqual( response.json, { "results": [ { "id": self.moh.pk, "name": "MOH", "restricted": True, "replies": { "average_referral_response_time_this_month": "0\xa0minutes", "last_month": 0, "this_month": 0, "total": 0, }, "cases": { "average_closed_this_month": "0\xa0minutes", "opened_this_month": 0, "closed_this_month": 0, "total": 0, }, }, { "id": self.who.pk, "name": "WHO", "restricted": True, "replies": { "average_referral_response_time_this_month": "0\xa0minutes", "last_month": 0, "this_month": 0, "total": 0, }, "cases": { "average_closed_this_month": "0\xa0minutes", "opened_this_month": 0, "closed_this_month": 0, "total": 0, }, }, ] }, ) class ContextProcessorsTest(BaseCasesTest): def test_sentry_dsn(self): dsn = "https://ir78h8v3mhz91lzgd2icxzaiwtmpsx10:[email protected]/44864" with self.settings(SENTRY_DSN=dsn): self.assertEqual( sentry_dsn(None), {"sentry_public_dsn": "https://[email protected]/44864"}, ) class InternalViewsTest(BaseCasesTest): def test_status(self): url = reverse("internal.status") response = self.url_get("unicef", url) self.assertEqual(response.json, {"cache": "OK", "org_tasks": "OK", "unhandled": 0}) ann = self.create_contact(self.unicef, "C-001", "Ann") dt1 = timezone.now() - timedelta(hours=2) dt2 = timezone.now() - timedelta(minutes=5) self.create_message(self.unicef, 101, ann, "Hmm 1", created_on=dt1) self.create_message(self.unicef, 102, ann, "Hmm 2", created_on=dt2) response = self.url_get("unicef", url) # check only message older than 1 hour counts self.assertEqual(response.json, {"cache": "OK", "org_tasks": "OK", "unhandled": 1}) with patch("django.core.cache.cache.get") as mock_cache_get: mock_cache_get.side_effect = ValueError("BOOM") response = self.url_get("unicef", url) self.assertEqual(response.json, {"cache": "ERROR", "org_tasks": "OK", "unhandled": 1}) def test_ping(self): url = reverse("internal.ping") response = self.url_get("unicef", url) self.assertEqual(response.status_code, 200) with patch("dash.orgs.models.Org.objects.first") as mock_org_first: mock_org_first.side_effect = ValueError("BOOM") response = self.url_get("unicef", url) self.assertEqual(response.status_code, 500)

d47e5a58fc90cc5165e763589139231ea7d9df8b

py

Python

python/ccxt/async/urdubit.py

hippylover/ccxt

db304e95b699c1971ad37b9053ae71fcb5dc3b03