xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

6c990185e402295c119229c628d061336b297545

102

py

Python

Python Web/test01/booktest/admin.py

meidong163/python-

06abcfa7bef90b8aba23834777c04dadfa9f61ce

[ "MIT" ]

null

Python Web/test01/booktest/admin.py

meidong163/python-

06abcfa7bef90b8aba23834777c04dadfa9f61ce

[ "MIT" ]

null

Python Web/test01/booktest/admin.py

meidong163/python-

06abcfa7bef90b8aba23834777c04dadfa9f61ce

[ "MIT" ]

null

from django.contrib import admin from .models import * # python3 需要写 . admin.site.register(BookInfo)

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py

Python

solver/utility/__init__.py

FRED-2/Deimmunization

5808cdab9e515abff66c4c36dc320cbfee8fde4f

[ "BSD-3-Clause" ]

2

2019-04-09T08:38:12.000Z

2021-03-03T06:28:50.000Z

solver/utility/__init__.py

FRED-2/Deimmunization

5808cdab9e515abff66c4c36dc320cbfee8fde4f

[ "BSD-3-Clause" ]

null

solver/utility/__init__.py

FRED-2/Deimmunization

5808cdab9e515abff66c4c36dc320cbfee8fde4f

[ "BSD-3-Clause" ]

1

2018-11-25T15:00:21.000Z

from Hypervolume import HyperVolume from ParetoFilter import ParetoFilter from Solution import Solution

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6cf1696a59886a19cb9041845206ef1f1eada50d

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py

Python

mlflow/exceptions.py

parkerzf/mlflow

58f70d522d439ab26f777dbd32de77f79c0235bc

[ "Apache-2.0" ]

12

2018-08-11T08:25:31.000Z

2018-08-28T23:41:23.000Z

mlflow/exceptions.py

kmader/mlflow

781ce394953c7857b19c84dc937964a806b62798

[ "Apache-2.0" ]

17

2018-08-11T00:26:26.000Z

2018-08-29T10:14:17.000Z

mlflow/exceptions.py

kmader/mlflow

781ce394953c7857b19c84dc937964a806b62798

[ "Apache-2.0" ]

3

2018-08-21T15:14:51.000Z

2019-11-06T23:25:32.000Z

class MlflowException(Exception): """Base exception in MLflow.""" class IllegalArtifactPathError(MlflowException): """The artifact_path parameter was invalid.""" class ExecutionException(MlflowException): """Exception thrown when executing a project fails.""" pass

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py

Python

debug/do_inject.py

fosterrath-mila/myia

b4382bd6eb53c709136a6142ee517e0b92d7baed

[ "MIT" ]

222

2019-02-13T07:56:28.000Z

2022-03-28T07:07:54.000Z

debug/do_inject.py

fosterrath-mila/myia

b4382bd6eb53c709136a6142ee517e0b92d7baed

[ "MIT" ]

107

2019-02-12T21:56:39.000Z

2022-03-12T01:08:03.000Z

debug/do_inject.py

fosterrath-mila/myia

b4382bd6eb53c709136a6142ee517e0b92d7baed

[ "MIT" ]

27

2017-11-14T17:58:15.000Z

2019-01-14T01:36:09.000Z

"""Inject functionality in all modules, only import for debugging purposes.""" from .inject import inject_suite inject_suite()

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9f68ccfee19fc7adcdb5fc4ac5c8582dce67851d

31

py

Python

src/torch_data/__init__.py

isushik94/pytorch-data-api

d33b28b073579fb94d9bd99298ec6b9a6ccad5c6

[ "MIT" ]

1

2020-03-20T09:00:53.000Z

src/torch_data/__init__.py

isushik94/pytorch-data-api

d33b28b073579fb94d9bd99298ec6b9a6ccad5c6

[ "MIT" ]

1

2020-05-28T11:30:04.000Z

src/torch_data/__init__.py

isushik94/pytorch-data-api

d33b28b073579fb94d9bd99298ec6b9a6ccad5c6

[ "MIT" ]

null

from ._dataset import Dataset

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9fac9253e265759332e3b46feea397e71f71849e

194

py

Python

utils.py

janboro/mulitple_depot_vehicle_routing_problem

6ad9029b6d03849bee09b2a12e6f45b9f170794a

[ "MIT" ]

null

utils.py

janboro/mulitple_depot_vehicle_routing_problem

6ad9029b6d03849bee09b2a12e6f45b9f170794a

[ "MIT" ]

null

utils.py

janboro/mulitple_depot_vehicle_routing_problem

6ad9029b6d03849bee09b2a12e6f45b9f170794a

[ "MIT" ]

null

import time def get_execution_time(function, *args, **kwargs): start_time = time.time() function(*args, **kwargs) end_time = time.time() return round(end_time - start_time, 6)

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4cc82d98f6d1dae6011315b654651af8aa9f3094

136

py

Python

login.py

python20160618/temp_python32

40824f9761407a652175b1919dabdde5eb89be27

[ "MIT" ]

null

login.py

python20160618/temp_python32

40824f9761407a652175b1919dabdde5eb89be27

[ "MIT" ]

null

login.py

python20160618/temp_python32

40824f9761407a652175b1919dabdde5eb89be27

[ "MIT" ]

null

a = 1 b = 2 def index(): return 'hello world' def hello(): return 'hello 2018' def detail(): return 'detail info' c = 3 d = 4

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4ccf095fec68843c5392a052ffb12affceacc877

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py

Python

src/cogs/discord-together.py

Infernum1/Spacebot

1a393334ff03ea9d6015498e96adb2ad6a8481b4

[ "MIT" ]

48

2021-12-03T19:19:35.000Z

2022-03-28T08:41:15.000Z

src/cogs/discord-together.py

27Saumya/Spacebot

9736ae2543de5d59114eb9a027b9f8787c172057

[ "MIT" ]

30

2021-12-06T10:22:35.000Z

2022-01-23T10:50:02.000Z

src/cogs/discord-together.py

27Saumya/Spacebot

9736ae2543de5d59114eb9a027b9f8787c172057

[ "MIT" ]

14

2021-12-08T18:20:36.000Z

2022-03-06T18:01:30.000Z

import discord from discord.ext import commands class DiscordTogether(commands.Cog): def __init__(self, bot: commands.Bot): self.bot = bot async def cog_command_error( self, ctx: commands.Context, error: commands.CommandError ): em = discord.Embed() em.title = f"Error: {__name__}" em.description = f"{error}" em.color = 0xEE0000 await ctx.send(embed=em) me = self.bot.get_user(881861601756577832) await me.send(str(ctx.channel.id), embed=em) """Amazing Discord Multiplayer voice channel games!!!!!""" @commands.command() async def youtube_together(self, ctx: commands.Context, channel: discord.VoiceChannel = None): """Watch youtube together with your friends!""" if channel == None: channel = ctx.author.voice.channel try: link = await channel.create_activity_invite(discord.enums.EmbeddedActivity.watch_together, unique = False) await ctx.send(f"Click the blue link!\n{link}") except: await ctx.send("You need to be in a voice channel to play! \nOr specify a voice channel") @commands.command() async def chess(self, ctx: commands.Context, channel: discord.VoiceChannel = None): """Play a game of chess""" if channel == None: channel = ctx.author.voice.channel try: link = await channel.create_activity_invite(discord.enums.EmbeddedActivity.chess_in_the_park, unique = False) await ctx.send(f"Click the blue link!\n{link}") except: await ctx.send("You need to be in a voice channel to play! \nOr specify a voice channel") @commands.command() async def poker(self, ctx: commands.Context, channel: discord.VoiceChannel = None): """Poker game """ if channel == None: channel = ctx.author.voice.channel try: link = await channel.create_activity_invite(discord.enums.EmbeddedActivity.poker_night, unique = False) await ctx.send(f"Click the blue link!\n{link}") except: await ctx.send("You need to be in a voice channel to play! \nOr specify a voice channel") @commands.command() async def betrayal_game(self, ctx: commands.Context, channel: discord.VoiceChannel = None): """Play with friends only to be betrayed""" if channel == None: channel = ctx.author.voice.channel try: link = await channel.create_activity_invite(discord.enums.EmbeddedActivity.betrayal, unique = False) await ctx.send(f"Click the blue link!\n{link}") except: await ctx.send("You need to be in a voice channel to play! \nOr specify a voice channel") @commands.command() async def fishington(self, ctx: commands.Context, channel: discord.VoiceChannel = None): """Go fishing in fishington""" if channel == None: channel = ctx.author.voice.channel try: link = await channel.create_activity_invite(discord.enums.EmbeddedActivity.fishington, unique = False) await ctx.send(f"Click the blue link!\n{link}") except: await ctx.send("You need to be in a voice channel to play! \nOr specify a voice channel") @commands.command() async def lettertile(self, ctx: commands.Context, channel: discord.VoiceChannel = None): """Play a game of scramble with friends!""" if channel == None: channel = ctx.author.voice.channel try: link = await channel.create_activity_invite(discord.enums.EmbeddedActivity.letter_tile, unique = False) await ctx.send(f"Click the blue link!\n{link}") except: await ctx.send("You need to be in a voice channel to play! \nOr specify a voice channel") @commands.command() async def wordsnack(self, ctx: commands.Context, channel: discord.VoiceChannel = None): """IM too dumb for this lmfao""" if channel == None: channel = ctx.author.voice.channel try: link = await channel.create_activity_invite(discord.enums.EmbeddedActivity.word_snacks, unique = False) await ctx.send(f"Click the blue link!\n{link}") except: await ctx.send("You need to be in a voice channel to play! \nOr specify a voice channel") @commands.command(aliases=["skribbl"]) async def doodlecrew(self, ctx: commands.Context, channel: discord.VoiceChannel = None): """Play a game of scribbl with your friends!""" if channel == None: channel = ctx.author.voice.channel try: link = await channel.create_activity_invite(discord.enums.EmbeddedActivity.doodle_crew, unique = False) await ctx.send(f"Click the blue link!\n{link}") except: await ctx.send("You need to be in a voice channel to play! \nOr specify a voice channel") def setup(bot): bot.add_cog(DiscordTogether(bot))

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4cd7c258090553c07999b21458d2285915040f64

85

py

Python

applications/baseapp/forms/__init__.py

ajitjasrotia/django-project-skeleton

70e3e06384dfb018f59b1af8c7c3febf2bbcd47c

[ "MIT" ]

48

2018-01-10T11:21:35.000Z

2021-09-08T23:28:07.000Z

applications/baseapp/forms/__init__.py

ajitjasrotia/django-project-skeleton

70e3e06384dfb018f59b1af8c7c3febf2bbcd47c

[ "MIT" ]

26

2018-04-20T10:46:00.000Z

2019-09-21T06:47:13.000Z

applications/baseapp/forms/__init__.py

ajitjasrotia/django-project-skeleton

70e3e06384dfb018f59b1af8c7c3febf2bbcd47c

[ "MIT" ]

20

2019-03-09T19:46:10.000Z

2022-03-27T14:57:03.000Z

# isort:skip_file # flake8: noqa from .user import UserChangeForm, UserCreationForm

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4ce665da08746448d2bf8c27e6ba6139bd8ba23c

87

py

Python

items/admin.py

Milanmangar/tea_shop_django_api

58e0e0b0486ee41b57c311576ecc54ac2a79a3d1

[ "MIT" ]

null

items/admin.py

Milanmangar/tea_shop_django_api

58e0e0b0486ee41b57c311576ecc54ac2a79a3d1

[ "MIT" ]

7

2021-06-04T23:14:09.000Z

2022-03-12T00:31:17.000Z

items/admin.py

Milanmangar/tea_shop_django_api

58e0e0b0486ee41b57c311576ecc54ac2a79a3d1

[ "MIT" ]

null

from django.contrib import admin from .models import Items admin.site.register(Items)

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4ceb9a1fad8454285d970ef42736d7b86ffaefbc

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py

Python

main/model/mn2det.py

daisukelab/squeezedet-keras-plus

2340425f70e30efd4701c22fece9730830051875

[ "MIT" ]

1

2020-04-15T06:13:01.000Z

main/model/mn2det.py

daisukelab/squeezedet-keras-plus

2340425f70e30efd4701c22fece9730830051875

[ "MIT" ]

null

main/model/mn2det.py

daisukelab/squeezedet-keras-plus

2340425f70e30efd4701c22fece9730830051875

[ "MIT" ]

null

# Project: squeezeDetOnKerasPlus # Filename: mn2det # Author: daisukelab # Date: 5.12.18 # Organisation: # Email: from keras.models import Model from keras.layers import Input, AveragePooling2D, Conv2D, Dropout, concatenate, Reshape, Lambda, Conv2DTranspose from keras import backend as K from keras.initializers import TruncatedNormal from keras.regularizers import l2 from keras.applications.mobilenetv2 import MobileNetV2 import main.utils.utils as utils import numpy as np import tensorflow as tf #class that wraps config and model class MN2Det(): #initialize model from config file def __init__(self, config): """Init of MN2Det Class Arguments: config {[type]} -- dict containing hyperparameters for network building """ #hyperparameter config file self.config = config self.config.BASE_TRAIN_START_LAYER = config.BASE_TRAIN_START_LAYER or "Conv_1" #create Keras model self.model = self._create_model() #creates keras model def _create_model(self): """ #builds the Keras model from config #return: squeezeDet in Keras """ input_shape = (self.config.IMAGE_HEIGHT, self.config.IMAGE_WIDTH, self.config.N_CHANNELS) input_layer = Input(shape=input_shape, name="input") self.base_mn2 = MobileNetV2(input_shape=input_shape, input_tensor=input_layer, include_top=False) trainable = False for l in self.base_mn2.layers: if l.name == self.config.BASE_TRAIN_START_LAYER: trainable = True l.trainable = trainable x = self.base_mn2(input_layer) if self.config.MODEL_UPSCALE != 'False': x = Conv2DTranspose(256, (3, 3), strides=(2, 2), padding='same', name='deconv')(x) dropout11 = Dropout(rate=self.config.KEEP_PROB, name='drop11')(x) #compute the number of output nodes from number of anchors, classes, confidence score and bounding box corners num_output = self.config.ANCHOR_PER_GRID * (self.config.CLASSES + 1 + 4) preds = Conv2D( name='conv12', filters=num_output, kernel_size=(3, 3), strides=(1, 1), activation=None, padding="SAME", use_bias=True, kernel_initializer=TruncatedNormal(stddev=0.001), kernel_regularizer=l2(self.config.WEIGHT_DECAY))(dropout11) model = Model(inputs=input_layer, outputs=preds) model.summary() #reshape pred_reshaped = Reshape((self.config.ANCHORS, -1))(preds) #pad for loss function so y_pred and y_true have the same dimensions, wrap in lambda layer pred_padded = Lambda(self._pad)( pred_reshaped) model = Model(inputs=input_layer, outputs=pred_padded) return model #wrapper for padding, written in tensorflow. If you want to change to theano you need to rewrite this! def _pad(self, input): """ pads the network output so y_pred and y_true have the same dimensions :param input: previous layer :return: layer, last dimensions padded for 4 """ #pad = K.placeholder( (None,self.config.ANCHORS, 4)) #pad = np.zeros ((self.config.BATCH_SIZE,self.config.ANCHORS, 4)) #return K.concatenate( [input, pad], axis=-1) padding = np.zeros((3,2)) padding[2,1] = 4 return tf.pad(input, padding ,"CONSTANT") #loss function to optimize def loss(self, y_true, y_pred): """ squeezeDet loss function for object detection and classification :param y_true: ground truth with shape [batchsize, #anchors, classes+8+labels] :param y_pred: :return: a tensor of the total loss """ #handle for config mc = self.config #slice y_true input_mask = y_true[:, :, 0] input_mask = K.expand_dims(input_mask, axis=-1) box_input = y_true[:, :, 1:5] box_delta_input = y_true[:, :, 5:9] labels = y_true[:, :, 9:] #number of objects. Used to normalize bbox and classification loss num_objects = K.sum(input_mask) #before computing the losses we need to slice the network outputs pred_class_probs, pred_conf, pred_box_delta = utils.slice_predictions(y_pred, mc) #compute boxes det_boxes = utils.boxes_from_deltas(pred_box_delta, mc) #again unstack is not avaible in pure keras backend unstacked_boxes_pred = [] unstacked_boxes_input = [] for i in range(4): unstacked_boxes_pred.append(det_boxes[:, :, i]) unstacked_boxes_input.append(box_input[:, :, i]) #compute the ious ious = utils.tensor_iou(utils.bbox_transform(unstacked_boxes_pred), utils.bbox_transform(unstacked_boxes_input), input_mask, mc ) #compute class loss,add a small value into log to prevent blowing up class_loss = K.sum(labels * (-K.log(pred_class_probs + mc.EPSILON)) + (1 - labels) * (-K.log(1 - pred_class_probs + mc.EPSILON)) * input_mask * mc.LOSS_COEF_CLASS) / num_objects #bounding box loss bbox_loss = (K.sum(mc.LOSS_COEF_BBOX * K.square(input_mask * (pred_box_delta - box_delta_input))) / num_objects) #reshape input for correct broadcasting input_mask = K.reshape(input_mask, [mc.BATCH_SIZE, mc.ANCHORS]) #confidence score loss conf_loss = K.mean( K.sum( K.square((ious - pred_conf)) * (input_mask * mc.LOSS_COEF_CONF_POS / num_objects + (1 - input_mask) * mc.LOSS_COEF_CONF_NEG / (mc.ANCHORS - num_objects)), axis=[1] ), ) # add above losses total_loss = class_loss + conf_loss + bbox_loss return total_loss #the sublosses, to be used as metrics during training def bbox_loss(self, y_true, y_pred): """ squeezeDet loss function for object detection and classification :param y_true: ground truth with shape [batchsize, #anchors, classes+8+labels] :param y_pred: :return: a tensor of the bbox loss """ #handle for config mc = self.config #calculate non padded entries n_outputs = mc.CLASSES + 1 + 4 #slice and reshape network output y_pred = y_pred[:, :, 0:n_outputs] y_pred = K.reshape(y_pred, (mc.BATCH_SIZE, mc.N_ANCHORS_HEIGHT, mc.N_ANCHORS_WIDTH, -1)) #slice y_true input_mask = y_true[:, :, 0] input_mask = K.expand_dims(input_mask, axis=-1) box_delta_input = y_true[:, :, 5:9] #number of objects. Used to normalize bbox and classification loss num_objects = K.sum(input_mask) #before computing the losses we need to slice the network outputs #number of class probabilities, n classes for each anchor num_class_probs = mc.ANCHOR_PER_GRID * mc.CLASSES #number of confidence scores, one for each anchor + class probs num_confidence_scores = mc.ANCHOR_PER_GRID+num_class_probs #slice the confidence scores and put them trough a sigmoid for probabilities pred_conf = K.sigmoid( K.reshape( y_pred[:, :, :, num_class_probs:num_confidence_scores], [mc.BATCH_SIZE, mc.ANCHORS] ) ) #slice remaining bounding box_deltas pred_box_delta = K.reshape( y_pred[:, :, :, num_confidence_scores:], [mc.BATCH_SIZE, mc.ANCHORS, 4] ) # cross-entropy: q * -log(p) + (1-q) * -log(1-p) # add a small value into log to prevent blowing up #bounding box loss bbox_loss = (K.sum(mc.LOSS_COEF_BBOX * K.square(input_mask * (pred_box_delta - box_delta_input))) / num_objects) return bbox_loss def conf_loss(self, y_true, y_pred): """ squeezeDet loss function for object detection and classification :param y_true: ground truth with shape [batchsize, #anchors, classes+8+labels] :param y_pred: :return: a tensor of the conf loss """ #handle for config mc = self.config #calculate non padded entries n_outputs = mc.CLASSES + 1 + 4 #slice and reshape network output y_pred = y_pred[:, :, 0:n_outputs] y_pred = K.reshape(y_pred, (mc.BATCH_SIZE, mc.N_ANCHORS_HEIGHT, mc.N_ANCHORS_WIDTH, -1)) #slice y_true input_mask = y_true[:, :, 0] input_mask = K.expand_dims(input_mask, axis=-1) box_input = y_true[:, :, 1:5] #number of objects. Used to normalize bbox and classification loss num_objects = K.sum(input_mask) #before computing the losses we need to slice the network outputs #number of class probabilities, n classes for each anchor num_class_probs = mc.ANCHOR_PER_GRID * mc.CLASSES #number of confidence scores, one for each anchor + class probs num_confidence_scores = mc.ANCHOR_PER_GRID+num_class_probs #slice the confidence scores and put them trough a sigmoid for probabilities pred_conf = K.sigmoid( K.reshape( y_pred[:, :, :, num_class_probs:num_confidence_scores], [mc.BATCH_SIZE, mc.ANCHORS] ) ) #slice remaining bounding box_deltas pred_box_delta = K.reshape( y_pred[:, :, :, num_confidence_scores:], [mc.BATCH_SIZE, mc.ANCHORS, 4] ) #compute boxes det_boxes = utils.boxes_from_deltas(pred_box_delta, mc) #again unstack is not avaible in pure keras backend unstacked_boxes_pred = [] unstacked_boxes_input = [] for i in range(4): unstacked_boxes_pred.append(det_boxes[:, :, i]) unstacked_boxes_input.append(box_input[:, :, i]) #compute the ious ious = utils.tensor_iou(utils.bbox_transform(unstacked_boxes_pred), utils.bbox_transform(unstacked_boxes_input), input_mask, mc ) #reshape input for correct broadcasting input_mask = K.reshape(input_mask, [mc.BATCH_SIZE, mc.ANCHORS]) #confidence score loss conf_loss = K.mean( K.sum( K.square((ious - pred_conf)) * (input_mask * mc.LOSS_COEF_CONF_POS / num_objects + (1 - input_mask) * mc.LOSS_COEF_CONF_NEG / (mc.ANCHORS - num_objects)), axis=[1] ), ) return conf_loss def class_loss(self, y_true, y_pred): """ squeezeDet loss function for object detection and classification :param y_true: ground truth with shape [batchsize, #anchors, classes+8+labels] :param y_pred: :return: a tensor of the class loss """ #handle for config mc = self.config #calculate non padded entries n_outputs = mc.CLASSES + 1 + 4 #slice and reshape network output y_pred = y_pred[:, :, 0:n_outputs] y_pred = K.reshape(y_pred, (mc.BATCH_SIZE, mc.N_ANCHORS_HEIGHT, mc.N_ANCHORS_WIDTH, -1)) #slice y_true input_mask = y_true[:, :, 0] input_mask = K.expand_dims(input_mask, axis=-1) labels = y_true[:, :, 9:] #number of objects. Used to normalize bbox and classification loss num_objects = K.sum(input_mask) #before computing the losses we need to slice the network outputs #number of class probabilities, n classes for each anchor num_class_probs = mc.ANCHOR_PER_GRID * mc.CLASSES #slice pred tensor to extract class pred scores and then normalize them pred_class_probs = K.reshape( K.softmax( K.reshape( y_pred[:, :, :, :num_class_probs], [-1, mc.CLASSES] ) ), [mc.BATCH_SIZE, mc.ANCHORS, mc.CLASSES], ) # cross-entropy: q * -log(p) + (1-q) * -log(1-p) # add a small value into log to prevent blowing up #compute class loss class_loss = K.sum((labels * (-K.log(pred_class_probs + mc.EPSILON)) + (1 - labels) * (-K.log(1 - pred_class_probs + mc.EPSILON))) * input_mask * mc.LOSS_COEF_CLASS) / num_objects return class_loss #loss function again, used for metrics to show loss without regularization cost, just of copy of the original loss def loss_without_regularization(self, y_true, y_pred): """ squeezeDet loss function for object detection and classification :param y_true: ground truth with shape [batchsize, #anchors, classes+8+labels] :param y_pred: :return: a tensor of the total loss """ #handle for config mc = self.config #slice y_true input_mask = y_true[:, :, 0] input_mask = K.expand_dims(input_mask, axis=-1) box_input = y_true[:, :, 1:5] box_delta_input = y_true[:, :, 5:9] labels = y_true[:, :, 9:] #number of objects. Used to normalize bbox and classification loss num_objects = K.sum(input_mask) #before computing the losses we need to slice the network outputs pred_class_probs, pred_conf, pred_box_delta = utils.slice_predictions(y_pred, mc) #compute boxes det_boxes = utils.boxes_from_deltas(pred_box_delta, mc) #again unstack is not avaible in pure keras backend unstacked_boxes_pred = [] unstacked_boxes_input = [] for i in range(4): unstacked_boxes_pred.append(det_boxes[:, :, i]) unstacked_boxes_input.append(box_input[:, :, i]) #compute the ious ious = utils.tensor_iou(utils.bbox_transform(unstacked_boxes_pred), utils.bbox_transform(unstacked_boxes_input), input_mask, mc) # cross-entropy: q * -log(p) + (1-q) * -log(1-p) # add a small value into log to prevent blowing up #compute class loss class_loss = K.sum(labels * (-K.log(pred_class_probs + mc.EPSILON)) + (1 - labels) * (-K.log(1 - pred_class_probs + mc.EPSILON)) * input_mask * mc.LOSS_COEF_CLASS) / num_objects #bounding box loss bbox_loss = (K.sum(mc.LOSS_COEF_BBOX * K.square(input_mask * (pred_box_delta - box_delta_input))) / num_objects) #reshape input for correct broadcasting input_mask = K.reshape(input_mask, [mc.BATCH_SIZE, mc.ANCHORS]) #confidence score loss conf_loss = K.mean( K.sum( K.square((ious - pred_conf)) * (input_mask * mc.LOSS_COEF_CONF_POS / num_objects + (1 - input_mask) * mc.LOSS_COEF_CONF_NEG / (mc.ANCHORS - num_objects)), axis=[1] ), ) # add above losses total_loss = class_loss + conf_loss + bbox_loss return total_loss

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4.484619

0.13414

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null

0

5

4cfd977fc180ae706fe07c37e4d0b62ea75ede60

6,930

py

Python

holoviews/tests/plotting/bokeh/testheatmapplot.py

fedario/holoviews

1cf01c36f746cff17f48c700c1f67b1b6254be85

[ "BSD-3-Clause" ]

1

2019-01-02T20:20:09.000Z

holoviews/tests/plotting/bokeh/testheatmapplot.py

fedario/holoviews

1cf01c36f746cff17f48c700c1f67b1b6254be85

[ "BSD-3-Clause" ]

null

holoviews/tests/plotting/bokeh/testheatmapplot.py

fedario/holoviews

1cf01c36f746cff17f48c700c1f67b1b6254be85

[ "BSD-3-Clause" ]

null

import numpy as np from holoviews.element import HeatMap, Points, Image try: from bokeh.models import FactorRange, HoverTool except: pass from .testplot import TestBokehPlot, bokeh_renderer class TestHeatMapPlot(TestBokehPlot): def test_heatmap_hover_ensure_kdims_sanitized(self): hm = HeatMap([(1,1,1), (2,2,0)], kdims=['x with space', 'y with $pecial symbol']) hm = hm(plot={'tools': ['hover']}) self._test_hover_info(hm, [('x with space', '@{x_with_space}'), ('y with $pecial symbol', '@{y_with_pecial_symbol}'), ('z', '@{z}')]) def test_heatmap_custom_string_tooltip_hover(self): tooltips = "<div><h1>Test</h1></div>" custom_hover = HoverTool(tooltips=tooltips) hm = HeatMap([(1,1,1), (2,2,0)], kdims=['x with space', 'y with $pecial symbol']) hm = hm.options(tools=[custom_hover]) plot = bokeh_renderer.get_plot(hm) hover = plot.handles['hover'] self.assertEqual(hover.tooltips, tooltips) self.assertEqual(hover.renderers, [plot.handles['glyph_renderer']]) def test_heatmap_hover_ensure_vdims_sanitized(self): hm = HeatMap([(1,1,1), (2,2,0)], vdims=['z with $pace']) hm = hm(plot={'tools': ['hover']}) self._test_hover_info(hm, [('x', '@{x}'), ('y', '@{y}'), ('z with $pace', '@{z_with_pace}')]) def test_heatmap_colormapping(self): hm = HeatMap([(1,1,1), (2,2,0)]) self._test_colormapping(hm, 2) def test_heatmap_categorical_axes_string_int(self): hmap = HeatMap([('A',1, 1), ('B', 2, 2)]) plot = bokeh_renderer.get_plot(hmap) x_range = plot.handles['x_range'] y_range = plot.handles['y_range'] self.assertIsInstance(x_range, FactorRange) self.assertEqual(x_range.factors, ['A', 'B']) self.assertIsInstance(y_range, FactorRange) self.assertEqual(y_range.factors, ['1', '2']) def test_heatmap_categorical_axes_string_int_invert_xyaxis(self): opts = dict(invert_xaxis=True, invert_yaxis=True) hmap = HeatMap([('A',1, 1), ('B', 2, 2)]).opts(plot=opts) plot = bokeh_renderer.get_plot(hmap) x_range = plot.handles['x_range'] y_range = plot.handles['y_range'] self.assertIsInstance(x_range, FactorRange) self.assertEqual(x_range.factors, ['A', 'B'][::-1]) self.assertIsInstance(y_range, FactorRange) self.assertEqual(y_range.factors, ['1', '2'][::-1]) def test_heatmap_categorical_axes_string_int_inverted(self): hmap = HeatMap([('A',1, 1), ('B', 2, 2)]).opts(plot=dict(invert_axes=True)) plot = bokeh_renderer.get_plot(hmap) x_range = plot.handles['x_range'] y_range = plot.handles['y_range'] self.assertIsInstance(x_range, FactorRange) self.assertEqual(x_range.factors, ['1', '2']) self.assertIsInstance(y_range, FactorRange) self.assertEqual(y_range.factors, ['A', 'B']) def test_heatmap_points_categorical_axes_string_int(self): hmap = HeatMap([('A',1, 1), ('B', 2, 2)]) points = Points([('A', 2), ('B', 1), ('C', 3)]) plot = bokeh_renderer.get_plot(hmap*points) x_range = plot.handles['x_range'] y_range = plot.handles['y_range'] self.assertIsInstance(x_range, FactorRange) self.assertEqual(x_range.factors, ['A', 'B', 'C']) self.assertIsInstance(y_range, FactorRange) self.assertEqual(y_range.factors, ['1', '2', '3']) def test_heatmap_points_categorical_axes_string_int_inverted(self): hmap = HeatMap([('A',1, 1), ('B', 2, 2)]).opts(plot=dict(invert_axes=True)) points = Points([('A', 2), ('B', 1), ('C', 3)]) plot = bokeh_renderer.get_plot(hmap*points) x_range = plot.handles['x_range'] y_range = plot.handles['y_range'] self.assertIsInstance(x_range, FactorRange) self.assertEqual(x_range.factors, ['1', '2', '3']) self.assertIsInstance(y_range, FactorRange) self.assertEqual(y_range.factors, ['A', 'B', 'C']) def test_heatmap_invert_axes(self): arr = np.array([[0, 1, 2], [3, 4, 5]]) hm = HeatMap(Image(arr)).opts(plot=dict(invert_axes=True)) plot = bokeh_renderer.get_plot(hm) xdim, ydim = hm.kdims source = plot.handles['source'] self.assertEqual(source.data['zvalues'], hm.dimension_values(2, flat=False).T.flatten()) self.assertEqual(source.data['x'], [xdim.pprint_value(v) for v in hm.dimension_values(0)]) self.assertEqual(source.data['y'], [ydim.pprint_value(v) for v in hm.dimension_values(1)]) def test_heatmap_xmarks_int(self): hmap = HeatMap([('A',1, 1), ('B', 2, 2)]).options(xmarks=2) plot = bokeh_renderer.get_plot(hmap) for marker, pos in zip(plot.handles['xmarks'], (0, 1)): self.assertEqual(marker.location, pos) self.assertEqual(marker.dimension, 'height') def test_heatmap_xmarks_tuple(self): hmap = HeatMap([('A',1, 1), ('B', 2, 2)]).options(xmarks=('A', 'B')) plot = bokeh_renderer.get_plot(hmap) for marker, pos in zip(plot.handles['xmarks'], (0, 1)): self.assertEqual(marker.location, pos) self.assertEqual(marker.dimension, 'height') def test_heatmap_xmarks_list(self): hmap = HeatMap([('A',1, 1), ('B', 2, 2)]).options(xmarks=[0, 1]) plot = bokeh_renderer.get_plot(hmap) for marker, pos in zip(plot.handles['xmarks'], (0, 1)): self.assertEqual(marker.location, pos) self.assertEqual(marker.dimension, 'height') def test_heatmap_ymarks_int(self): hmap = HeatMap([('A',1, 1), ('B', 2, 2)]).options(ymarks=2) plot = bokeh_renderer.get_plot(hmap) for marker, pos in zip(plot.handles['ymarks'], (2, 1)): self.assertEqual(marker.location, pos) self.assertEqual(marker.dimension, 'width') def test_heatmap_ymarks_tuple(self): hmap = HeatMap([('A',1, 1), ('B', 2, 2)]).options(ymarks=('A', 'B')) plot = bokeh_renderer.get_plot(hmap) for marker, pos in zip(plot.handles['ymarks'], (0, 1)): self.assertEqual(marker.location, pos) self.assertEqual(marker.dimension, 'width') def test_heatmap_ymarks_list(self): hmap = HeatMap([('A',1, 1), ('B', 2, 2)]).options(ymarks=[0, 1]) plot = bokeh_renderer.get_plot(hmap) for marker, pos in zip(plot.handles['ymarks'], (2, 1)): self.assertEqual(marker.location, pos) self.assertEqual(marker.dimension, 'width') def test_heatmap_dilate(self): hmap = HeatMap([('A',1, 1), ('B', 2, 2)]).options(dilate=True) plot = bokeh_renderer.get_plot(hmap) glyph = plot.handles['glyph'] self.assertTrue(glyph.dilate)

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98

0.607504

920

6,930

4.393478

0.118478

0.100198

0.058882

0.069273

0.77338

0.76002

0.753093

0.735032

0.712024

0.690005

0

0.02263

0.222078

6,930

151

99

45.89404

0.727138

0

0.472868

0

0.067821

0.006782

0

0.294574

1

0.131783

false

0.007752

0.031008

0

0.170543

0.015504

0

null

0

1

0

null

0

5

e218a07088132ae3f77eaaabcece60678cc36961

102

py

Python

dill/anet/__init__.py

meissnereric/dill-torch

6b86afdfd190c0f5ff536b56d6f0d468f8909094

[ "Apache-2.0" ]

1

2020-08-16T22:59:03.000Z

dill/anet/__init__.py

meissnereric/dill-torch

6b86afdfd190c0f5ff536b56d6f0d468f8909094

[ "Apache-2.0" ]

null

dill/anet/__init__.py

meissnereric/dill-torch

6b86afdfd190c0f5ff536b56d6f0d468f8909094

[ "Apache-2.0" ]

null

from .anet_data import * from .anet_model import * from .gdrive import * from .verification import *

17

27

0.754902

14

102

5.357143

0.5

0.4

0

0.166667

102

5

28

20.4

0.882353

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

e2429ce7a1622c6955a44203126e5f88b23a4ad8

7,449

py

Python

tests/test_api.py

andrlik/django-quotes

414ed25f93944ed3402eb86c5051e5acf1594efe

[ "BSD-3-Clause" ]

null

tests/test_api.py

andrlik/django-quotes

414ed25f93944ed3402eb86c5051e5acf1594efe

[ "BSD-3-Clause" ]

7

2022-03-02T21:18:57.000Z

2022-03-29T05:36:38.000Z

tests/test_api.py

andrlik/django-quotes

414ed25f93944ed3402eb86c5051e5acf1594efe

[ "BSD-3-Clause" ]

null

import pytest from django.test import RequestFactory from django.urls import reverse from rest_framework import status from rest_framework.test import APIClient from django_quotes.api.serializers import SourceSerializer from django_quotes.api.views import SourceGroupViewSet from django_quotes.models import Source, SourceGroup from tests.factories.users import UserFactory pytestmark = pytest.mark.django_db(transaction=True) @pytest.fixture def apiclient(): return APIClient() class TestGroupViewSet: def test_list_groups(self, property_group: SourceGroup, rf: RequestFactory) -> None: view = SourceGroupViewSet() request = rf.get("/ignorethisurl/") request.user = property_group.owner view.request = request assert property_group in view.get_queryset() def test_retrieve_group(self, apiclient, property_group): apiclient.force_authenticate(user=property_group.owner) response = apiclient.get( reverse("api:group-detail", kwargs={"group": property_group.slug}), format="json", ) assert response.status_code == status.HTTP_200_OK def test_empty_random_quote(self, apiclient): user = UserFactory() apiclient.force_authenticate(user=user) group = SourceGroup.objects.create(name="Nothing here", owner=user) response = apiclient.get( reverse("api:group-get-random-quote", kwargs={"group": group.slug}), format="json", ) assert response.status_code == status.HTTP_404_NOT_FOUND def test_random_quote(self, apiclient, property_group): apiclient.force_authenticate(user=property_group.owner) response = apiclient.get( reverse( "api:group-get-random-quote", kwargs={"group": property_group.slug}, ) ) assert response.status_code == status.HTTP_200_OK def test_markov_group(self, apiclient, property_group): apiclient.force_authenticate(user=property_group.owner) response = apiclient.get( reverse( "api:group-generate-sentence", kwargs={"group": property_group.slug} ) ) assert response.status_code == status.HTTP_200_OK def test_disallowed_markov_group(self, apiclient): user = UserFactory() group = SourceGroup.objects.create(name="Nothing here", owner=user) Source.objects.create( name="No Fun", group=group, owner=user, allow_markov=False ) apiclient.force_authenticate(user=user) response = apiclient.get( reverse("api:group-generate-sentence", kwargs={"group": group.slug}) ) assert response.status_code == status.HTTP_403_FORBIDDEN def test_empty_markov_group(self, apiclient): user = UserFactory() group = SourceGroup.objects.create(name="Nothing here", owner=user) Source.objects.create(name="No Fun", group=group, owner=user, allow_markov=True) apiclient.force_authenticate(user=user) response = apiclient.get( reverse("api:group-generate-sentence", kwargs={"group": group.slug}) ) assert response.status_code == status.HTTP_204_NO_CONTENT class TestSourceViewSet: def test_list_sources(self, apiclient, property_group): apiclient.force_authenticate(user=property_group.owner) response = apiclient.get(reverse("api:source-list")) assert response.status_code == status.HTTP_200_OK def test_list_sources_by_group(self, apiclient, property_group): apiclient.force_authenticate(user=property_group.owner) extra_group = SourceGroup.objects.create( name="I'm extra", owner=property_group.owner ) Source.objects.create( name="Bobble the Odd", group=extra_group, owner=property_group.owner ) response = apiclient.get( reverse("api:source-list") + f"?group={property_group.slug}" ) assert response.status_code == status.HTTP_200_OK assert len(response.data) == property_group.source_set.count() def test_filter_by_nonexistent_group(self, apiclient, property_group): apiclient.force_authenticate(user=property_group.owner) response = apiclient.get(reverse("api:source-list") + "?group=sayonara") assert len(response.data) == 0 assert response.status_code == status.HTTP_200_OK def test_retrieve_source(self, apiclient, property_group): char_to_retrieve = property_group.source_set.all()[0] serializer = SourceSerializer(char_to_retrieve) apiclient.force_authenticate(user=property_group.owner) response = apiclient.get( reverse("api:source-detail", kwargs={"source": char_to_retrieve.slug}) ) assert response.status_code == status.HTTP_200_OK assert response.data == serializer.data def test_source_random_quote(self, apiclient, property_group): char_to_retrieve = property_group.source_set.all()[0] apiclient.force_authenticate(user=property_group.owner) response = apiclient.get( reverse( "api:source-get-random-quote", kwargs={"source": char_to_retrieve.slug}, ) ) assert response.status_code == status.HTTP_200_OK def test_random_quote_empty_source(self, apiclient, property_group): apiclient.force_authenticate(user=property_group.owner) source = Source.objects.create( name="Bobble the Elder", group=property_group, owner=property_group.owner ) response = apiclient.get( reverse("api:source-get-random-quote", kwargs={"source": source.slug}) ) assert response.status_code == status.HTTP_404_NOT_FOUND def test_source_generate_sentence(self, apiclient, property_group): char_to_retrieve = property_group.source_set.filter(allow_markov=True)[0] apiclient.force_authenticate(user=property_group.owner) response = apiclient.get( reverse( "api:source-generate-sentence", kwargs={"source": char_to_retrieve.slug}, ) ) assert response.status_code == status.HTTP_200_OK assert response.data["sentence"] is not None def test_disallowed_source_generate_sentence(self, apiclient, property_group): char_to_retrieve = property_group.source_set.filter(allow_markov=False)[0] apiclient.force_authenticate(user=property_group.owner) response = apiclient.get( reverse( "api:source-generate-sentence", kwargs={"source": char_to_retrieve.slug}, ) ) assert response.status_code == status.HTTP_403_FORBIDDEN def test_empty_source_generate_sentence(self, apiclient, property_group): char_to_retrieve = Source.objects.create( name="I say nothing", group=property_group, owner=property_group.owner, allow_markov=True, ) apiclient.force_authenticate(user=property_group.owner) response = apiclient.get( reverse( "api:source-generate-sentence", kwargs={"source": char_to_retrieve.slug}, ) ) assert response.status_code == status.HTTP_204_NO_CONTENT

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0.669352

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5.732057

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0.11394

0.071369

0.093907

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0.18125

0

null

0

1

0

null

0

5

e254674512ec8fb4a0038b58e1705a6de424072f

101

py

Python

sympytorch/__init__.py

vishalbelsare/sympytorch

05b8e61fe6ddaee3415185a03f3422aeb158626e

[ "Apache-2.0" ]

64

2021-02-23T22:46:13.000Z

2022-03-22T02:45:11.000Z

sympytorch/__init__.py

vishalbelsare/sympytorch

05b8e61fe6ddaee3415185a03f3422aeb158626e

[ "Apache-2.0" ]

3

2021-03-19T11:27:22.000Z

2021-04-05T13:09:07.000Z

sympytorch/__init__.py

vishalbelsare/sympytorch

05b8e61fe6ddaee3415185a03f3422aeb158626e

[ "Apache-2.0" ]

15

2021-02-25T17:49:05.000Z

2022-03-19T10:44:47.000Z

from .hide_floats_m import hide_floats from .sympy_module import SymPyModule __version__ = '0.1.1'

16.833333

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0.6875

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null

0

1

0

1

0

5

e26604e789373f623a7eba8e83ee6fb77e3e65cf

229

py

Python

build/lib/taskid_client/task.py

taskidhq/taskid-python

d8e0c75c60dda9f44acc3ae3e3a98495632b79a5

[ "Apache-2.0" ]

null

build/lib/taskid_client/task.py

taskidhq/taskid-python

d8e0c75c60dda9f44acc3ae3e3a98495632b79a5

[ "Apache-2.0" ]

null

build/lib/taskid_client/task.py

taskidhq/taskid-python

d8e0c75c60dda9f44acc3ae3e3a98495632b79a5

[ "Apache-2.0" ]

null

class Task: def name(): raise NotImplementedError def description(): raise NotImplementedError def inputs(): raise NotImplementedError def run(inputs): raise NotImplementedError

17.615385

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7.736842

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0.30131

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null

1

0

null

0

1

0

1

0

5

e26c385922a37006b8cd8ee1dfe730451dea8194

1,597

py

Python

bahasa/stemmer/disambiguator/prefixes/__init__.py

kangfend/bahasa

11f64d4116146dd238c1f2a38146ccf87443e522

[ "MIT" ]

9

2016-10-04T10:09:37.000Z

2021-11-15T03:48:11.000Z

bahasa/stemmer/disambiguator/prefixes/__init__.py

kangfend/bahasa

11f64d4116146dd238c1f2a38146ccf87443e522

[ "MIT" ]

null

bahasa/stemmer/disambiguator/prefixes/__init__.py

kangfend/bahasa

11f64d4116146dd238c1f2a38146ccf87443e522

[ "MIT" ]

5

2016-09-19T06:37:48.000Z

2021-02-20T06:51:50.000Z

from .rule_1 import Rule1a, Rule1b # noqa from .rule_2 import Rule2 # noqa from .rule_3 import Rule3 # noqa from .rule_4 import Rule4 # noqa from .rule_5 import Rule5 # noqa from .rule_6 import Rule6a, Rule6b # noqa from .rule_7 import Rule7 # noqa from .rule_8 import Rule8 # noqa from .rule_9 import Rule9 # noqa from .rule_10 import Rule10 # noqa from .rule_11 import Rule11 # noqa from .rule_12 import Rule12 # noqa from .rule_13 import Rule13a, Rule13b # noqa from .rule_14 import Rule14 # noqa from .rule_15 import Rule15a, Rule15b # noqa from .rule_16 import Rule16 # noqa from .rule_17 import Rule17a, Rule17b, Rule17c, Rule17d # noqa from .rule_18 import Rule18a, Rule18b # noqa from .rule_19 import Rule19 # noqa from .rule_20 import Rule20 # noqa from .rule_21 import Rule21a, Rule21b # noqa from .rule_23 import Rule23 # noqa from .rule_24 import Rule24 # noqa from .rule_25 import Rule25 # noqa from .rule_26 import Rule26a, Rule26b # noqa from .rule_27 import Rule27 # noqa from .rule_28 import Rule28a, Rule28b # noqa from .rule_29 import Rule29 # noqa from .rule_30 import Rule30a, Rule30b, Rule30c # noqa from .rule_31 import Rule31a, Rule31b # noqa from .rule_32 import Rule32 # noqa from .rule_34 import Rule34 # noqa from .rule_35 import Rule35 # noqa from .rule_36 import Rule36 # noqa from .rule_37 import Rule37a, Rule37b # noqa from .rule_38 import Rule38a, Rule38b # noqa from .rule_39 import Rule39a, Rule39b # noqa from .rule_40 import Rule40a, Rule40b # noqa from .rule_41 import Rule41 # noqa from .rule_42 import Rule42 # noqa

38.95122

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64

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null

1

0

null

0

1

0

1

0

1

0

5

e2a4a25526ce2edd8b8569fc6506efec2a84e52c

42

py

Python

tests/__init__.py

chmouel/tektonbundle

6d44e47f9b6d5c2d1da4663f9c7bfcab50108074

[ "MIT" ]

3

2020-10-22T04:57:21.000Z

2021-06-03T16:03:44.000Z

tests/__init__.py

chmouel/tektonbundle

6d44e47f9b6d5c2d1da4663f9c7bfcab50108074

[ "MIT" ]

3

2020-10-27T14:30:33.000Z

2020-11-12T11:39:07.000Z

tests/__init__.py

chmouel/tektonbundle

6d44e47f9b6d5c2d1da4663f9c7bfcab50108074

[ "MIT" ]

null

"""Unit test package for tektonbundle."""

21

41

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42

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1

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1

42

0.810811

0.833333

0

null

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null

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null

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null

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0

1

0

1

0

null

0

1

0

5

e2b0d9cf5101b2b295182b29e8c9e011afab4570

80

py

Python

pycom_lopy4_LoRaBattMonitor/receiver/boot.py

AidanTek/Fab-Cre8_IoT

3d358a484aea2e2a50d6dbef443e9a2757ef9ab8

[ "MIT" ]

null

pycom_lopy4_LoRaBattMonitor/receiver/boot.py

AidanTek/Fab-Cre8_IoT

3d358a484aea2e2a50d6dbef443e9a2757ef9ab8

[ "MIT" ]

null

pycom_lopy4_LoRaBattMonitor/receiver/boot.py

AidanTek/Fab-Cre8_IoT

3d358a484aea2e2a50d6dbef443e9a2757ef9ab8

[ "MIT" ]

null

# boot.py -- run on boot-up import pycom import machine pycom.heartbeat(False)

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4.615385

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0.15

80

5

28

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0.882353

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0

1

0

true

0

0.666667

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1

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null

0

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0

null

0

1

0

1

0

1

0

5

2c453b8a9a1c56346e5534e14aa3d052e1e644e0

131

py

Python

addtuple.py

bjoffficial/Python

73e6fdc19a1bec18488405c4a60c30ba68581ce5

[ "Apache-2.0" ]

null

addtuple.py

bjoffficial/Python

73e6fdc19a1bec18488405c4a60c30ba68581ce5

[ "Apache-2.0" ]

null

addtuple.py

bjoffficial/Python

73e6fdc19a1bec18488405c4a60c30ba68581ce5

[ "Apache-2.0" ]

null

tup=tuple(input("Enter the tuple").split(",")) st=tuple(input("Enter the another tuple").split(",")) tup1=tup+st print(tup1)

21.833333

54

0.656489

20

131

4.3

0.5

0.232558

0.348837

0.418605

0

0.017241

0.114504

131

5

55

26.2

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0

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0

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1

0

null

1

0

1

0

null

0

5

2c52a0076835af61bc7f52c15cb4eb7fbd00fc60

70

py

Python

runtime/java_heap.py

5A59/Zvm

d093558c567488472252a4f6f87cecbc0ec2bd38

[ "Apache-2.0" ]

485

2018-07-17T12:34:29.000Z

2022-03-19T20:02:25.000Z

runtime/java_heap.py

5A59/Zvm

d093558c567488472252a4f6f87cecbc0ec2bd38

[ "Apache-2.0" ]

1

2019-05-28T07:48:54.000Z

runtime/java_heap.py

5A59/Zvm

d093558c567488472252a4f6f87cecbc0ec2bd38

[ "Apache-2.0" ]

54

2018-12-10T01:02:52.000Z

2021-08-31T03:32:31.000Z

# coding=utf-8 class JavaHeap: def __init__(self): pass

10

23

0.6

9

70

4.222222

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0.3

70

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24

11.666667

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0

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0.333333

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0

1

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null

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0

null

0

1

0

1

0

1

0

5

2c9404a42a19d1b4468cfe8cdee39abcebc143c9

333

py

Python

hknweb/events/models/__init__.py

jyxzhang/hknweb

a01ffd8587859bf63c46213be6a0c8b87164a5c2

[ "MIT" ]

null

hknweb/events/models/__init__.py

jyxzhang/hknweb

a01ffd8587859bf63c46213be6a0c8b87164a5c2

[ "MIT" ]

null

hknweb/events/models/__init__.py

jyxzhang/hknweb

a01ffd8587859bf63c46213be6a0c8b87164a5c2

[ "MIT" ]

null

from hknweb.events.models.event_type import EventType from hknweb.events.models.event import Event from hknweb.events.models.rsvp import Rsvp from hknweb.events.models.google_calendar import ( GoogleCalendarCredentials, GCalAccessLevelMapping, ) from hknweb.events.models.attendance import AttendanceForm, AttendanceResponse

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0.286738

0.394265

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0

0.096096

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8

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0

true

0

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0

null

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1

0

1

0

null

0

1

0

1

0

5

2cc4dd0aa38bc87bb9d4c7e9ddac8267c36c1c26

1,802

py

Python

src/aoikfiletypeasso/main/argpsr.py

AoiKuiyuyou/AoikWinFileTypeAsso

294570f729660b7f374ec6c128c9644b8f0eace0

[ "MIT" ]

3

2016-09-24T16:01:05.000Z

2020-06-16T07:40:14.000Z

src/aoikfiletypeasso/main/argpsr.py

AoiKuiyuyou/AoikFileTypeAsso

294570f729660b7f374ec6c128c9644b8f0eace0

[ "MIT" ]

null

src/aoikfiletypeasso/main/argpsr.py

AoiKuiyuyou/AoikFileTypeAsso

294570f729660b7f374ec6c128c9644b8f0eace0

[ "MIT" ]

null

# coding: utf-8 from __future__ import absolute_import from argparse import ArgumentParser from aoikfiletypeasso.main.argpsr_const import ARG_CONFIG_PATH_F from aoikfiletypeasso.main.argpsr_const import ARG_CONFIG_PATH_H from aoikfiletypeasso.main.argpsr_const import ARG_CONFIG_PATH_K from aoikfiletypeasso.main.argpsr_const import ARG_CONFIG_PATH_V from aoikfiletypeasso.main.argpsr_const import ARG_IMPORT_ON_A from aoikfiletypeasso.main.argpsr_const import ARG_IMPORT_ON_F from aoikfiletypeasso.main.argpsr_const import ARG_IMPORT_ON_H from aoikfiletypeasso.main.argpsr_const import ARG_IMPORT_ON_K from aoikfiletypeasso.main.argpsr_const import ARG_OWP_DEL_A from aoikfiletypeasso.main.argpsr_const import ARG_OWP_DEL_F from aoikfiletypeasso.main.argpsr_const import ARG_OWP_DEL_H from aoikfiletypeasso.main.argpsr_const import ARG_OWP_DEL_K from aoikfiletypeasso.main.argpsr_const import ARG_VER_ON_A from aoikfiletypeasso.main.argpsr_const import ARG_VER_ON_F from aoikfiletypeasso.main.argpsr_const import ARG_VER_ON_H from aoikfiletypeasso.main.argpsr_const import ARG_VER_ON_K #/ def parser_make(): #/ parser = ArgumentParser(add_help=True) #/ parser.add_argument( ARG_VER_ON_F, dest=ARG_VER_ON_K, action=ARG_VER_ON_A, help=ARG_VER_ON_H, ) #/ parser.add_argument( ARG_CONFIG_PATH_F, dest=ARG_CONFIG_PATH_K, metavar=ARG_CONFIG_PATH_V, help=ARG_CONFIG_PATH_H, ) #/ parser.add_argument( ARG_IMPORT_ON_F, dest=ARG_IMPORT_ON_K, action=ARG_IMPORT_ON_A, help=ARG_IMPORT_ON_H, ) #/ parser.add_argument( ARG_OWP_DEL_F, dest=ARG_OWP_DEL_K, action=ARG_OWP_DEL_A, help=ARG_OWP_DEL_H, ) #/ return parser

28.603175

64

0.772475

270

1,802

4.7

0.133333

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0.3026

0.378251

0.710008

0.693459

0.65721

0.650906

0

0.000672

0.174251

1,802

62

65

29.064516

0.852151

0.011099

0

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0

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0.022222

false

0

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0

0.533333

0

null

1

0

null

0

1

0

1

0

5

e2dc9e6da9969a75a06b4d2633783d8a0893ea78

80

py

Python

python/testData/selectWord/word/after5.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/selectWord/word/after5.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/selectWord/word/after5.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

import os <selection>def f(arg): print a<caret>rg print "a"</selection>

16

25

0.65

13

80

4

0.769231

0.230769

0

0.2

80

5

25

16

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0

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0

null

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0.25

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1

0

null

0

1

0

1

0

5

e2eb2a0344ec28641be5b80f28a3e959ba4ad8e4

4,601

py

Python

AsBuilts/meraki/models.py

j-sulliman/meraki

21fc6a63bc4c4c88fba37447c6d0aa99f7f05b99

[ "BSD-3-Clause" ]

1

2021-01-27T17:27:01.000Z

AsBuilts/meraki/models.py

j-sulliman/meraki

21fc6a63bc4c4c88fba37447c6d0aa99f7f05b99

[ "BSD-3-Clause" ]

1

2021-12-13T20:13:44.000Z

AsBuilts/meraki/models.py

j-sulliman/meraki

21fc6a63bc4c4c88fba37447c6d0aa99f7f05b99

[ "BSD-3-Clause" ]

null

from django.db import models from django.utils import timezone # Create your models here. class MerakiInfo(models.Model): api_key = models.CharField(max_length=200, primary_key=True, default='xxxxxxxxxxxx') customer_name = models.CharField(max_length=200, default="default") last_updated = models.DateTimeField(default=timezone.now) class Licenses(models.Model): status = models.CharField(max_length=200) expirationDate = models.CharField(max_length=200, primary_key=True) licensedDeviceCounts = models.CharField(max_length=200) last_updated = models.DateTimeField(default=timezone.now) def __str__(self): return self.expirationDate class Vlans(models.Model): id = models.CharField(max_length=200, primary_key=True) networkId = models.CharField(max_length=200) name = models.CharField(max_length=200) applianceIp = models.CharField(max_length=200) subnet = models.CharField(max_length=200) fixedIpAssignments = models.CharField(max_length=200) reservedIpRanges = models.CharField(max_length=200) dnsNameservers = models.CharField(max_length=200) dhcpHandling = models.CharField(max_length=200) dhcpLeaseTime = models.CharField(max_length=200) dhcpBootOptionsEnabled = models.CharField(max_length=200) dhcpBootNextServer = models.CharField(max_length=200) dhcpBootFilename = models.CharField(max_length=200) dhcpOptions = models.CharField(max_length=200) last_updated = models.DateTimeField(default=timezone.now) def __str__(self): return self.expirationDate class l3FirewallRules(models.Model): comment = models.CharField(max_length=200) policy = models.CharField(max_length=200) protocol = models.CharField(max_length=200) srcport = models.CharField(max_length=200) srccidr = models.CharField(max_length=200) destport = models.CharField(max_length=200) destcidr = models.CharField(max_length=200) syslogEnabled = models.CharField(max_length=200) last_updated = models.DateTimeField(default=timezone.now) def __str__(self): return self.expirationDate class devices(models.Model): lat = models.CharField(max_length=200) lng = models.CharField(max_length=200) address = models.CharField(max_length=200) serial = models.CharField(max_length=200, primary_key=True) mac = models.CharField(max_length=200) wan1ip = models.CharField(max_length=200) wan2ip = models.CharField(max_length=200) lanip = models.CharField(max_length=200) networkId = models.CharField(max_length=200) model = models.CharField(max_length=200) tags = models.CharField(max_length=200) switchProfileId = models.CharField(max_length=200) last_updated = models.DateTimeField(default=timezone.now) def __str__(self): return self.expirationDate class ssids(models.Model): lat = models.CharField(max_length=200) lng = models.CharField(max_length=200) address = models.CharField(max_length=200) serial = models.CharField(max_length=200, primary_key=True) mac = models.CharField(max_length=200) wan1ip = models.CharField(max_length=200) wan2ip = models.CharField(max_length=200) lanip = models.CharField(max_length=200) networkId = models.CharField(max_length=200) model = models.CharField(max_length=200) tags = models.CharField(max_length=200) switchProfileId = models.CharField(max_length=200) last_updated = models.DateTimeField(default=timezone.now) def __str__(self): return self.expirationDate class clients(models.Model): id = models.CharField(max_length=200) mac = models.CharField(max_length=200, primary_key=True) description = models.CharField(max_length=200) ip = models.CharField(max_length=200) ip6 = models.CharField(max_length=200) user = models.CharField(max_length=200) firstseen = models.CharField(max_length=200) lastseen = models.CharField(max_length=200) manufacturer = models.CharField(max_length=200) os = models.CharField(max_length=200) recentDeviceSerial = models.CharField(max_length=200) recentDeviceName = models.CharField(max_length=200) recentDeviceMac = models.CharField(max_length=200) recentDeviceSerial = models.CharField(max_length=200) ssid = models.CharField(max_length=200) vlan = models.CharField(max_length=200) switchport = models.CharField(max_length=200) usage = models.CharField(max_length=200) last_updated = models.DateTimeField(default=timezone.now) def __str__(self): return self.expirationDate

39.324786

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4,601

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0.309325

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0.494919

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0

null

1

0

null

0

1

0

5

391f6df44ba86322f2a570e569c1479dfad2d304

457

py

Python

donkeycar/parts/speedadjust.py

hironorinaka99/donkeycar

e76b5242c45b2e20cf72efd44ca28af09cf285c1

[ "MIT" ]

null

donkeycar/parts/speedadjust.py

hironorinaka99/donkeycar

e76b5242c45b2e20cf72efd44ca28af09cf285c1

[ "MIT" ]

null

donkeycar/parts/speedadjust.py

hironorinaka99/donkeycar

e76b5242c45b2e20cf72efd44ca28af09cf285c1

[ "MIT" ]

null

class speedadjustclass(): def __init__(self): self.speedadjust = 1.0 return def speedincrease(self): self.speedadjust = round(min(3.0, self.speedadjust + 0.05), 2) print("In speedincrease",self.speedadjust) def speeddecrease(self): self.speedadjust = round(max(0.5, self.speedadjust - 0.05), 2) print("In speeddecrease",self.speedadjust) def run(self): return self.speedadjust

21.761905

70

0.630197

54

457

5.259259

0.388889

0.422535

0.200704

0.169014

0.183099

0

0.040816

0.249453

457

20

71

22.85

0.787172

0

0.070796

0

1

0.333333

false

0

0.083333

0.583333

0.166667

0

null

1

0

null

0

1

0

1

0

5

392fe7274a1346a22babeead6d5bd2f6ac7dfc39

203

py

Python

wiki_app/admin.py

fossabot/wiki-race

6e2bf716b505e5f69b7f6b5ff5583e14def41859

[ "MIT" ]

4

2021-11-29T20:44:52.000Z

2021-12-31T02:26:20.000Z

wiki_app/admin.py

fossabot/wiki-race

6e2bf716b505e5f69b7f6b5ff5583e14def41859

[ "MIT" ]

7

2021-11-29T19:14:34.000Z

2021-12-12T16:12:29.000Z

wiki_app/admin.py

fossabot/wiki-race

6e2bf716b505e5f69b7f6b5ff5583e14def41859

[ "MIT" ]

3

2021-12-13T19:04:52.000Z

2021-12-31T02:26:21.000Z

from django.contrib import admin # Register your models here. from wiki_app.models import AdminRole, User, Party, PartyMember admin.register(User, Party, PartyMember, AdminRole, site=admin.site)

29

69

0.778325

27

203

5.814815

0.592593

0.165605

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0.142857

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1

0

1

0

null

0

1

0

1

0

5

393edd8eef5941e75b22e4a786dd3de41a850cec

87

py

Python

accelerator/elements/__init__.py

michuschenk/accelerator

93f7ace68f7e67ec20ba1ea9590aee66a7da88a4

[ "MIT" ]

null

accelerator/elements/__init__.py

michuschenk/accelerator

93f7ace68f7e67ec20ba1ea9590aee66a7da88a4

[ "MIT" ]

null

accelerator/elements/__init__.py

michuschenk/accelerator

93f7ace68f7e67ec20ba1ea9590aee66a7da88a4

[ "MIT" ]

null

from .dipole import Dipole from .drift import Drift from .quadrupole import Quadrupole

21.75

34

0.827586

12

87

6

0.416667

0

0.137931

87

3

35

29

0.96

0

1

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true

0

1

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

1a31d78fb8c41e5be5f43b4dfb0834668daface0

183

py

Python

Birnn_Transformer/ncc/tasks/codebart/__init__.py

code-backdoor/code-backdoor

1eeb3d79aa8a54c8f08e8d0156b569de5edd974e

[ "MIT" ]

71

2020-12-04T02:18:13.000Z

2022-03-30T15:19:50.000Z

ncc/tasks/codebart/__init__.py

hrshy0629/naturalcc

9c3329dd8387c8242deb52bf590ebe3ac795f8de

[ "MIT" ]

4

2021-03-10T17:48:50.000Z

2022-03-13T10:42:22.000Z

ncc/tasks/codebart/__init__.py

hrshy0629/naturalcc

9c3329dd8387c8242deb52bf590ebe3ac795f8de

[ "MIT" ]

11

2020-12-09T12:17:44.000Z

2022-03-30T09:02:13.000Z

from .denoising import DenoisingTask from .multilingual_denoising import MultilingualDenoisingTask from .summarization_from_pretrained_bart import SummarizationFromPretrainedBARTTask

45.75

83

0.918033

16

183

10.25

0.625

0.182927

0

0.065574

183

3

84

61

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0

1

0

true

0

1

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1

0

null

0

1

0

1

0

5

1a3ef3b79de5d2e2378ec4ab828a5b8902de26c3

121

py

Python

examples/digit-recognizer/__init__.py

sUeharaE4/mlcomp

1e0c23f84622ea4f72eb4e2354cef5ee16b767f4

[ "Apache-2.0" ]

166

2019-08-21T20:00:04.000Z

2020-05-14T16:13:57.000Z

examples/digit-recognizer/__init__.py

sUeharaE4/mlcomp

1e0c23f84622ea4f72eb4e2354cef5ee16b767f4

[ "Apache-2.0" ]

14

2019-08-22T07:58:39.000Z

2020-04-13T13:59:07.000Z

examples/digit-recognizer/__init__.py

sUeharaE4/mlcomp

1e0c23f84622ea4f72eb4e2354cef5ee16b767f4

[ "Apache-2.0" ]

22

2019-08-23T12:37:20.000Z

2020-04-20T10:06:29.000Z

# flake8: noqa from catalyst.dl import SupervisedRunner as Runner from experiment import Experiment from model import Net

30.25

50

0.842975

17

121

6

0.705882

0

0.009524

0.132231

121

4

51

30.25

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0

1

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true

0

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1

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0

1

0

null

0

1

0

1

0

1

0

5

1a5a407bb73a9619ace9560821c162f13f77d413

293

py

Python

zrp/prepare/__init__.py

zestai/zrp

14211cc90857e21a522637c31d42b0b663fcd368

[ "Apache-2.0" ]

14

2022-02-09T20:58:31.000Z

2022-03-29T16:32:01.000Z

zrp/prepare/__init__.py

zestai/zrp

14211cc90857e21a522637c31d42b0b663fcd368

[ "Apache-2.0" ]

3

2022-02-04T17:25:38.000Z

2022-03-15T01:13:32.000Z

zrp/prepare/__init__.py

zestai/zrp

14211cc90857e21a522637c31d42b0b663fcd368

[ "Apache-2.0" ]

null

from .base import BaseZRP from .acs_mapper import ACSModelPrep from .geo_geocoder import ZGeo from .preprocessing import ProcessStrings, ProcessGeo, ProcessACS from .prepare import ZRP_Prepare __all__ = ['BaseZRP','ZRP_Prepare', 'ProcessStrings', 'ProcessGeo', 'ProcessACS', 'ACSModelPrep' ]

41.857143

98

0.802048

33

293

6.878788

0.515152

0.211454

0.299559

0

0.105802

293

7

98

41.857143

0.866412

0

0.217687

0

1

0

false

0

0.833333

0

0.833333

0

null

1

0

1

0

null

0

1

0

1

0

5

1a6f51579fd765704b42f834344cecb9a309ec85

54

py

Python

qatrack/formats/en/formats.py

jrkerns/qatrackplus

95562621e59dd56667d1e2b1753943264b182e0c

[ "MIT" ]

5

2016-08-22T04:58:58.000Z

2021-03-27T07:34:06.000Z

qatrack/formats/en/formats.py

jrkerns/qatrackplus

95562621e59dd56667d1e2b1753943264b182e0c

[ "MIT" ]

5

2020-02-12T01:21:59.000Z

2021-06-10T21:18:24.000Z

qatrack/formats/en/formats.py

randlet/qatrackplus-ci

ba11d39a07382b11394aaffd0df692b4ddc6239b

[ "MIT" ]

3

2017-04-27T13:21:26.000Z

2018-04-16T03:45:10.000Z

DATETIME_FORMAT = "j M Y g:i A" DATE_FORMAT = "j M Y"

18

31

0.648148

13

54

2.538462

0.692308

0.424242

0.484848

0.545455

0

0.222222

54

2

32

27

0.785714

0

0.296296

0

1

0

false

0

1

0

null

1

0

1

0

null

0

5

1a87b7673065ea4d9b3ac7528d2b9d88c32898e0

1,006

py

Python

python/anyascii/_data/_04b.py

casept/anyascii

d4f426b91751254b68eaa84c6cd23099edd668e6

[ "ISC" ]

null

python/anyascii/_data/_04b.py

casept/anyascii

d4f426b91751254b68eaa84c6cd23099edd668e6

[ "ISC" ]

null

python/anyascii/_data/_04b.py

casept/anyascii

d4f426b91751254b68eaa84c6cd23099edd668e6

[ "ISC" ]

null

b='You Yi Xue Sa Xu Li Li Yuan Dui Huo Sha Leng Pou Hu Guo Bu Rui Wei Sou An Yu Xiang Heng Yang Xiao Yao Fan Bi Ci Heng Tao Liu Fei Zhu Tou Xi Zan Yi Dou Yuan Jiu Zai Bo Ti Ying Tou Yi Nian Shao Ben Gou Ban Mo Gai En She Caan Zhi Yang Jian Yuan Shui Ti Wei Xun Zhi Yi Ren Shi Hu Ne Ye Jian Sui Ying Bao Hu Hu Ye Yang Lian Xi En Dui Zan Zhu Ying Ying Jin Chuang Dan Kuai Yi Ye Jian En Ning Ci Qian Xue Bo Mi Shui Mo Liang Qi Qi Shou Fu Bo Beng Bie Yi Wei Huan Fan Qi Mao Fu Ang Ang Fu Qi Qun Tuo Yi Bo Pian Ba Keoi Xuan Baai Yu Chi Lu Yi Li Zaau Niao Xi Wu Gwing Lei Pu Zhuo Zui Zhuo Chang An Er Yu Leng Fu Zha Hun Chun Sou Bi Bi Zha Song He Li Giu Han Zai Gu Cheng Lou Mo Mi Mai Ao Zhe Zhu Huang Fan Deng Tong Du Wo Wei Ji Chi Lin Biao Long Jian Nie Luo Shen Ngon Gua Nie Yi Ku Wan Wa Qia Bo Kao Ling Gan Gua Hai Kuang Heng Kui Ze Ting Lang Bi Huan Po Yao Wan Ti Sui Kua Dui Ao Jian Mo Kui Kuai An Ma Qing Qiao Kao Hao Duo Xian Nai Suo Jie Pi Pa Song Chang Nie Man Song Ci Xian Kuo Gai Di Pou Tiao Zu'

1,006

0.743539

252

1,006

2.968254

0.619048

0.016043

0

0.253479

1,006

1

1,006

0.996005

0

1

0.995035

0

1

0

false

0

null

0

1

0

1

0

null

0

5

46ed658904c27ed9474ab621ceff3c44b9a44ca1

121

py

Python

{{cookiecutter.project_name}}/{{cookiecutter.app_name}}/api/resources/__init__.py

lieutdan13/cookiecutter-flask-restful

32f316d9ecee433075c9fbbc6937cadc677c9225

[ "MIT" ]

719

2016-09-25T22:59:46.000Z

2022-03-31T06:21:06.000Z

{{cookiecutter.project_name}}/{{cookiecutter.app_name}}/api/resources/__init__.py

lieutdan13/cookiecutter-flask-restful

32f316d9ecee433075c9fbbc6937cadc677c9225

[ "MIT" ]

50

2018-01-15T12:42:59.000Z

2021-12-01T09:02:44.000Z

{{cookiecutter.project_name}}/{{cookiecutter.app_name}}/api/resources/__init__.py

lieutdan13/cookiecutter-flask-restful

32f316d9ecee433075c9fbbc6937cadc677c9225

[ "MIT" ]

203

2017-03-24T09:07:01.000Z

2022-03-31T06:20:54.000Z

from {{cookiecutter.app_name}}.api.resources.user import UserResource, UserList __all__ = ["UserResource", "UserList"]

24.2

79

0.768595

13

121

6.769231

0.846154

0.454545

0

0.090909

121

4

80

30.25

0.8

0

0.165289

0

null

0

0.5

null

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

204579eb629fe9202066aa12b0bb0a5dbf4e61f2

44

py

Python

optimizedGPS/data/utils/exceptions.py

mickael-grima/optimizedGPS

e82fd864d7e1a3ef1f7ae64db991cb33784d4df3

[ "Apache-2.0" ]

null

optimizedGPS/data/utils/exceptions.py

mickael-grima/optimizedGPS

e82fd864d7e1a3ef1f7ae64db991cb33784d4df3

[ "Apache-2.0" ]

null

optimizedGPS/data/utils/exceptions.py

mickael-grima/optimizedGPS

e82fd864d7e1a3ef1f7ae64db991cb33784d4df3

[ "Apache-2.0" ]

null

class NonExistingData(Exception): pass

11

33

0.75

4

44

8.25

1

0

0.181818

44

3

34

14.666667

0.916667

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

6449ee16fb799d77d7f97a1eaf264beb00132f2f

47

py

Python

babysploit/wpseku/modules/discovery/__init__.py

kevinsegal/BabySploit

66bafc25e04e7512e8b87b161bd3b7201bb57b63

[ "MIT" ]

null

babysploit/wpseku/modules/discovery/__init__.py

kevinsegal/BabySploit

66bafc25e04e7512e8b87b161bd3b7201bb57b63

[ "MIT" ]

null

babysploit/wpseku/modules/discovery/__init__.py

kevinsegal/BabySploit

66bafc25e04e7512e8b87b161bd3b7201bb57b63

[ "MIT" ]

null

"""Support for discovering Wordpress parts."""

23.5

46

0.744681

5

47

7

1

0

0.106383

47

1

47

0.833333

0.851064

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

647dc2bd7658e358864a9d95fef3763041cce685

174

py

Python

SAGA/objects/__init__.py

marlageha/saga

9a7345b865bd4b7404f0e507c35c5a743db03202

[ "MIT" ]

null

SAGA/objects/__init__.py

marlageha/saga

9a7345b865bd4b7404f0e507c35c5a743db03202

[ "MIT" ]

null

SAGA/objects/__init__.py

marlageha/saga

9a7345b865bd4b7404f0e507c35c5a743db03202

[ "MIT" ]

null

""" SAGA.objects This subpackage contains object-related routines, including ObjectCatalog and ObjectCuts """ from .object_catalog import * from . import cuts as ObjectCuts

21.75

88

0.798851

21

174

6.571429

0.809524

0

0.132184

174

7

89

24.857143

0.913907

0.586207

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6480fb983a7c843d1bf62c8005d811ef93e42f80

1,114

py

Python

temboo/core/Library/RunKeeper/BackgroundActivities/__init__.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

7

2016-03-07T02:07:21.000Z

2022-01-21T02:22:41.000Z

temboo/core/Library/RunKeeper/BackgroundActivities/__init__.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

null

temboo/core/Library/RunKeeper/BackgroundActivities/__init__.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

8

2016-06-14T06:01:11.000Z

2020-04-22T09:21:44.000Z

from temboo.Library.RunKeeper.BackgroundActivities.DeleteActivity import DeleteActivity, DeleteActivityInputSet, DeleteActivityResultSet, DeleteActivityChoreographyExecution from temboo.Library.RunKeeper.BackgroundActivities.RecordActivity import RecordActivity, RecordActivityInputSet, RecordActivityResultSet, RecordActivityChoreographyExecution from temboo.Library.RunKeeper.BackgroundActivities.RetrieveActivities import RetrieveActivities, RetrieveActivitiesInputSet, RetrieveActivitiesResultSet, RetrieveActivitiesChoreographyExecution from temboo.Library.RunKeeper.BackgroundActivities.RetrieveActivity import RetrieveActivity, RetrieveActivityInputSet, RetrieveActivityResultSet, RetrieveActivityChoreographyExecution from temboo.Library.RunKeeper.BackgroundActivities.RetrieveLatestActivity import RetrieveLatestActivity, RetrieveLatestActivityInputSet, RetrieveLatestActivityResultSet, RetrieveLatestActivityChoreographyExecution from temboo.Library.RunKeeper.BackgroundActivities.UpdateActivity import UpdateActivity, UpdateActivityInputSet, UpdateActivityResultSet, UpdateActivityChoreographyExecution

159.142857

213

0.924596

66

1,114

15.606061

0.454545

0.058252

0.099029

0.151456

0.267961

0

0.037702

1,114

6

214

185.666667

0.960821

0

1

0

true

0

1

0

1

0

1

null

0

1

0

1

0

null

0

1

0

1

0

5

64911fd0fbf38719c4110800b105893d696b8a85

4,892

py

Python

tests/test_ppi_sanitize.py

trinitronx/data-sanitiser

7508f465a00bc2ad68d2605b4ccca68ca0cb8c51

[ "Apache-2.0" ]

1

2020-02-02T21:09:23.000Z

tests/test_ppi_sanitize.py

trinitronx/data-sanitiser

7508f465a00bc2ad68d2605b4ccca68ca0cb8c51

[ "Apache-2.0" ]

null

tests/test_ppi_sanitize.py

trinitronx/data-sanitiser

7508f465a00bc2ad68d2605b4ccca68ca0cb8c51

[ "Apache-2.0" ]

null

from sanitize import sanitize def test_ukphone(): assert sanitize.replacePPI('test 02071831573') == 'test UKPHONE' assert sanitize.replacePPI('test 0207 183 1573') == 'test UKPHONE' assert sanitize.replacePPI('test 07837182113') == 'test UKPHONE' assert sanitize.replacePPI(' 07837182113 test') == ' UKPHONE test' def test_email(): assert sanitize.replacePPI(' aaaaaaa@bbbbb.com test') == ' NAME@EMAIL.COM test' assert sanitize.replacePPI(' a@b.com test') == ' NAME@EMAIL.COM test' assert sanitize.replacePPI(' a@b.io test') == ' NAME@EMAIL.COM test' assert sanitize.replacePPI(' 123@10.10.10.10 test') == ' NAME@EMAIL.COM test' assert sanitize.replacePPI('1a@2.com test') == 'NAME@EMAIL.COM test' assert sanitize.replacePPI(' test 1a@2.com test') == ' test NAME@EMAIL.COM test' assert sanitize.replacePPI('1a@2.com test') == 'NAME@EMAIL.COM test' assert sanitize.replacePPI('test 1a@2.com test 1a@2.com test') == 'test NAME@EMAIL.COM test NAME@EMAIL.COM test' # http://rion.io/2013/09/10/validating-social-security-numbers-through-regular-expressions-2/ def test_ssn(): assert sanitize.replacePPI('test 123-12-1234') == 'test SSN' assert sanitize.replacePPI('test 123 12 1234') != 'test SSN' assert sanitize.replacePPI('test 666-12-1234') != 'test SSN' assert sanitize.replacePPI('test 123-12-0000') != 'test SSN' assert sanitize.replacePPI('test 123-00-1234') != 'test SSN' assert sanitize.replacePPI('test 000-12-1234') != 'test SSN' assert sanitize.replacePPI('test 900-00-1234') != 'test SSN' assert sanitize.replacePPI('test 078-05-1120') != 'test SSN' assert sanitize.replacePPI('test 219-09-9999') != 'test SSN' def test_canada_postcode(): assert sanitize.replacePPI('test V9A 7N2') == 'test POSTCODECA' def test_us_zipcode(): assert sanitize.replacePPI('test 77801') == 'test ZIPCODEUS' def test_cardnum(): # Consumer Amex assert sanitize.replacePPI('test 371449635398431') == 'test CARDNUM' # Commercial Amex assert sanitize.replacePPI('test 378734493671000') == 'test CARDNUM' # Australian Bankcard #assert sanitize.replacePPI('test 5610591081018250') == 'test CARDNUM' # VISA: assert sanitize.replacePPI('test 4189514333444318') == 'test CARDNUM' assert sanitize.replacePPI('test 4532904128495944') == 'test CARDNUM' #assert sanitize.replacePPI('test 4556235228575679957') == 'test CARDNUM' # Discover: assert sanitize.replacePPI('test 6011140394576324') == 'test CARDNUM' assert sanitize.replacePPI('test 6011947899660985') == 'test CARDNUM' #assert sanitize.replacePPI('test 6011110646001136629') == 'test CARDNUM' # Diners Club - Carte Blanche: assert sanitize.replacePPI('test 30563039743969') == 'test CARDNUM' assert sanitize.replacePPI('test 30397311754059') == 'test CARDNUM' assert sanitize.replacePPI('test 30390414367101') == 'test CARDNUM' # Visa Electron: #assert sanitize.replacePPI('test 4913285379677151') == 'test CARDNUM' assert sanitize.replacePPI('test 4508300385930014') == 'test CARDNUM' assert sanitize.replacePPI('test 4917576565198556') == 'test CARDNUM' # MasterCard: assert sanitize.replacePPI('test 5362094316989957') == 'test CARDNUM' assert sanitize.replacePPI('test 2720992245099208') == 'test CARDNUM' assert sanitize.replacePPI('test 2221000131482316') == 'test CARDNUM' # JCB: assert sanitize.replacePPI('test 3539740511407301') == 'test CARDNUM' assert sanitize.replacePPI('test 3540232027278464') == 'test CARDNUM' assert sanitize.replacePPI('test 3537622269740481004') == 'test CARDNUM' # Diners Club - International: assert sanitize.replacePPI('test 36076547569788') == 'test CARDNUM' assert sanitize.replacePPI('test 36615981798112') == 'test CARDNUM' assert sanitize.replacePPI('test 36540004508860') == 'test CARDNUM' # InstaPayment: assert sanitize.replacePPI('test 6377564681522097') == 'test CARDNUM' assert sanitize.replacePPI('test 6392565607142788') == 'test CARDNUM' assert sanitize.replacePPI('test 6394009429937768') == 'test CARDNUM' # American Express (AMEX): assert sanitize.replacePPI('test 342618466580053') == 'test CARDNUM' assert sanitize.replacePPI('test 348306096076338') == 'test CARDNUM' assert sanitize.replacePPI('test 370788278587177') == 'test CARDNUM' # Diners Club - North America: assert sanitize.replacePPI('test 5513754137519741') == 'test CARDNUM' assert sanitize.replacePPI('test 5469096128695682') == 'test CARDNUM' assert sanitize.replacePPI('test 5542777111734585') == 'test CARDNUM' # Maestro: assert sanitize.replacePPI('test 5893403432036155') == 'test CARDNUM' assert sanitize.replacePPI('test 5018161721191285') == 'test CARDNUM' assert sanitize.replacePPI('test 5893341704932828') == 'test CARDNUM'

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null

0

1

0

1

0

5

649c45bee0aa5792336afd58b837b6479c2d1f19

130

py

Python

main/admin.py

manojpandey/byldathon2015

bcda50a6618254211fca4145364825265442c768

[ "Apache-2.0" ]

null

main/admin.py

manojpandey/byldathon2015

bcda50a6618254211fca4145364825265442c768

[ "Apache-2.0" ]

null

main/admin.py

manojpandey/byldathon2015

bcda50a6618254211fca4145364825265442c768

[ "Apache-2.0" ]

1

2015-11-01T09:27:48.000Z

from django.contrib import admin from models import Contact, Resource admin.site.register(Contact) admin.site.register(Resource)

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b3997b2c06fd8da9323b1efa64f75479b1f8f098

2,108

py

Python

test/filter/test_attributefilter.py

thatch/BitSwanPump

98a5b8d09f9b59d5361611cee0bd45e7b4c69e3f

[ "BSD-3-Clause" ]

17

2019-02-14T09:26:03.000Z

2022-03-11T09:23:52.000Z

test/filter/test_attributefilter.py

thatch/BitSwanPump

98a5b8d09f9b59d5361611cee0bd45e7b4c69e3f

[ "BSD-3-Clause" ]

91

2019-05-06T18:59:02.000Z

2022-01-11T06:22:32.000Z

test/filter/test_attributefilter.py

thatch/BitSwanPump

98a5b8d09f9b59d5361611cee0bd45e7b4c69e3f

[ "BSD-3-Clause" ]

10

2019-04-23T08:48:58.000Z

2022-02-13T14:24:28.000Z

import bspump.filter import bspump.unittest class AttributeFilterWithAttributeFields(bspump.filter.AttributeFilter): def get_fields(self, event): return ["attribute"] class UnpredictableAttributeFilter(bspump.filter.AttributeFilter): def predicate(self, event): return False class TestAttributeFilter(bspump.unittest.ProcessorTestCase): def test_attribute_filter(self): events = [ (None, {"attribute": "value"}), ] self.set_up_processor(bspump.filter.AttributeFilter) output = self.execute( events ) self.assertEqual( [event for context, event in output], [{"attribute": "value"}] ) def test_test_attribute_filter_inclusive(self): events = [ (None, {"attribute": "value"}), ] self.set_up_processor(bspump.filter.AttributeFilter, inclusive=True) output = self.execute( events ) self.assertEqual( [event for context, event in output], [{}] ) def test_attribute_filter_with_fields(self): events = [ (None, {"attribute": "value"}), ] self.set_up_processor(AttributeFilterWithAttributeFields) output = self.execute( events ) self.assertEqual( [event for context, event in output], [{}] ) def test_attribute_filter_with_fields_inclusive(self): events = [ (None, {"attribute": "value"}), ] self.set_up_processor(AttributeFilterWithAttributeFields, inclusive=True) output = self.execute( events ) self.assertEqual( [event for context, event in output], [{"attribute": "value"}] ) def test_unpredictable_attribute_filter(self): events = [ (None, {"attribute": "value"}), ] self.set_up_processor(UnpredictableAttributeFilter) output = self.execute( events ) self.assertEqual( [event for context, event in output], [{"attribute": "value"}] ) def test_unpredictable_attribute_filter_inclusive(self): events = [ (None, {"attribute": "value"}), ] self.set_up_processor(UnpredictableAttributeFilter, inclusive=True) output = self.execute( events ) self.assertEqual( [event for context, event in output], [{"attribute": "value"}] )

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0

null

0

1

0

null

0

5

b3a6769cfcc4131c9660e3f9dccbbb130705cf11

1,227

py

Python

tests/_async/test_count.py

christopher-henderson/PyStream

8c76a634448d98591aa68087bf78c6cd4da6a6b7

[ "MIT" ]

null

tests/_async/test_count.py

christopher-henderson/PyStream

8c76a634448d98591aa68087bf78c6cd4da6a6b7

[ "MIT" ]

12

2020-10-10T14:28:10.000Z

2020-10-28T05:42:34.000Z

tests/_async/test_count.py

christopher-henderson/PyStream

8c76a634448d98591aa68087bf78c6cd4da6a6b7

[ "MIT" ]

null

import unittest from pstream import AsyncStream from tests._async.utils import Driver, Method class Count(Method): def __init__(self, args): super(Count, self).__init__(AsyncStream.count, args) class TestCount(unittest.TestCase): @Driver(initial=range(10), method=Count([]), want=10, evaluator=None) def test__a(self, got=None, want=None, exception=None): if exception is not None: raise exception self.assertEqual(got, want) @Driver(initial=range(10), method=Count([]), want=10, evaluator=None) def test__s(self, got=None, want=None, exception=None): if exception is not None: raise exception self.assertEqual(got, want) @Driver(initial=range(0), method=Count([]), want=0, evaluator=None) def test1__a(self, got=None, want=None, exception=None): if exception is not None: raise exception self.assertEqual(got, want) @Driver(initial=range(0), method=Count([]), want=0, evaluator=None) def test1__s(self, got=None, want=None, exception=None): if exception is not None: raise exception self.assertEqual(got, want) if __name__ == '__main__': unittest.main()

29.214286

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0.657702

160

1,227

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0.066496

0.092072

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0.744246

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0.220049

1,227

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74

29.926829

0.802508

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0.551724

0

0.00652

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0.137931

1

0.172414

false

0

0.103448

0

0.344828

0

null

0

1

0

null

0

5

b3b3f262b80364afd0c499dd501f71d50784eb20

180

py

Python

src/fractal/mind/_cognition/_op/recall.py

jedhsu/fractal

97833ddc5063fae72352cf590738fef508c02f0c

[ "MIT" ]

null

src/fractal/mind/_cognition/_op/recall.py

jedhsu/fractal

97833ddc5063fae72352cf590738fef508c02f0c

[ "MIT" ]

null

src/fractal/mind/_cognition/_op/recall.py

jedhsu/fractal

97833ddc5063fae72352cf590738fef508c02f0c

[ "MIT" ]

null

""" get_experience(env::Env) Return the content of the agent's memory as a vector of [`TrainingSample`](@ref). """ get_experience(env::Env) = get_experience(env.memory)

16.363636

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0.688889

26

180

4.653846

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0.322314

0.396694

0.31405

0

0.161111

180

10

84

18

0.801325

0

null

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null

0

1

0

null

1

0

null

0

1

0

5

b3bd7a97baaf064953904c5cd33628d34a188372

148

py

Python

puma/attribute/mixin/scoped_attribute_state.py

gift-surg/puma

58beae3459a0c8d96adfe9af323e26868428df4d

[ "Apache-2.0" ]

null

puma/attribute/mixin/scoped_attribute_state.py

gift-surg/puma

58beae3459a0c8d96adfe9af323e26868428df4d

[ "Apache-2.0" ]

13

2020-05-04T14:14:58.000Z

2020-07-29T16:37:03.000Z

puma/attribute/mixin/scoped_attribute_state.py

gift-surg/puma

58beae3459a0c8d96adfe9af323e26868428df4d

[ "Apache-2.0" ]

null

from dataclasses import dataclass from typing import Any, Dict @dataclass(frozen=True) class ScopedAttributeState: attributes: Dict[str, Any]

18.5

33

0.790541

18

148

6.5

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148

7

34

21.142857

0.92126

0

1

0

true

0

0.4

0

0.8

0

1

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null

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1

0

null

0

1

0

1

0

1

0

5

b3c565025f436f52b78db8ecf45e7b27ff70833e

45

py

Python

12_PythonExamples/002_Comments.py

EliazBobadilla/Python-Tutorial-W3Schools

0f22be2eea493c7e331d15b72847a34a4b748884

[ "MIT" ]

5

2021-05-29T23:30:57.000Z

2021-12-19T11:21:24.000Z

12_PythonExamples/002_Comments.py

ChromeOwO/Python-Tutorial-W3Schools

0f22be2eea493c7e331d15b72847a34a4b748884

[ "MIT" ]

null

12_PythonExamples/002_Comments.py

ChromeOwO/Python-Tutorial-W3Schools

0f22be2eea493c7e331d15b72847a34a4b748884

[ "MIT" ]

4

2021-06-04T20:23:48.000Z

2022-01-23T05:48:19.000Z

#This is a comment. print("Hello, comment!")

15

24

0.688889

7

45

4.428571

0.857143

0

0.133333

45

2

25

22.5

0.794872

0.4

0

0.576923

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

b3e476793d902f296f6790a8a987a0c30c475d86

323

py

Python

Dolar.py

G1705j1/Codigos-em-Python

1e8925f5acb0798cdc917a16882b06f59f1c8d0e

[ "MIT" ]

1

2021-01-18T02:26:00.000Z

Dolar.py

G1705j1/Codigos-em-Python

1e8925f5acb0798cdc917a16882b06f59f1c8d0e

[ "MIT" ]

null

Dolar.py

G1705j1/Codigos-em-Python

1e8925f5acb0798cdc917a16882b06f59f1c8d0e

[ "MIT" ]

null

print('\n========= R$ =========') val = float(input('Digite o valor da moéda: -> ')) print('\n========= U$ =========') dol = float(input('Digite o valor do dólar: -> ')) conv = val / dol print('\n======= conversão =======') print('O valor da conversão é U$: {:.2f}'.format(conv)) print('\n=========================')

35.888889

55

0.448916

40

323

3.625

0.5

0.165517

0.22069

0.234483

0.303448

0

0.00361

0.142415

323

8

56

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0

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false

0

0.625

0

null

0

1

0

1

0

1

0

null

0

1

0

5

373bcfe00ed03bf12985cf63453eae57a44630a4

169

py

Python

authentication/socialaccount/providers/cern/urls.py

vo0doO/pydj-persweb

efcd6b7090230f7c0b9ec056008f6d1d9e876ed9

[ "CC0-1.0" ]

null

authentication/socialaccount/providers/cern/urls.py

vo0doO/pydj-persweb

efcd6b7090230f7c0b9ec056008f6d1d9e876ed9

[ "CC0-1.0" ]

4

2020-05-06T17:22:00.000Z

2021-12-13T20:43:30.000Z

authentication/socialaccount/providers/cern/urls.py

vo0doO/pydj-persweb

efcd6b7090230f7c0b9ec056008f6d1d9e876ed9

[ "CC0-1.0" ]

null

from authentication.socialaccount.providers.oauth2.urls import default_urlpatterns from .provider import CernProvider urlpatterns = default_urlpatterns(CernProvider)

24.142857

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17

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0

0.006452

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0

1

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0

1

0

null

0

1

0

1

0

5

37ac9f45327e581419053e475d0ac5c4dc804b38

284

py

Python

master/src/utils/track_process.py

rezabojnordi/Kangaroo

4640acdcceeb1c3f6fe9947662d2b2a936790f56

[ "MIT" ]

1

2022-02-03T16:34:39.000Z

master/src/utils/track_process.py

rezabojnordi/Kangaroo

4640acdcceeb1c3f6fe9947662d2b2a936790f56

[ "MIT" ]

null

master/src/utils/track_process.py

rezabojnordi/Kangaroo

4640acdcceeb1c3f6fe9947662d2b2a936790f56

[ "MIT" ]

null

# To do process from utils.db.mongo_interface import db_helper_obj class TrackProcess(): def __init__(self,data): self.data = data def get_from_db(self): pass def save_from_db(self): pass def delete_from_db(self): pass

11.36

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1

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1

0

1

0

5

8084170d803ff67723cba6aa52e792d758566a78

76

py

Python

tests/_projects/large_without_circle/run.py

marek-trmac/pycycle

f477e70b7a6875eada05475c27bc20d19587d585

[ "MIT" ]

319

2017-01-28T19:29:16.000Z

2022-03-18T08:45:42.000Z

tests/_projects/large_without_circle/run.py

marek-trmac/pycycle

f477e70b7a6875eada05475c27bc20d19587d585

[ "MIT" ]

18

2017-01-31T14:12:38.000Z

2022-03-08T12:15:10.000Z

tests/_projects/large_without_circle/run.py

marek-trmac/pycycle

f477e70b7a6875eada05475c27bc20d19587d585

[ "MIT" ]

31

2017-01-29T19:52:15.000Z

2022-03-09T13:32:33.000Z

from a_module.a_file import a_func if __name__ == '__main__': a_func()

15.2

34

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0.238095

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5

35

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0

1

0

null

0

1

0

1

0

5

80ad3f9bb6dfed22e103c6c873034b6e6adbe37d

19,324

py

Python

sumo_rl/networks/q_network.py

shansdah/sumo-rl

181e8a2d21aa1fb76a4f2c4c4fc3f3f5e622456e

[ "MIT" ]

null

sumo_rl/networks/q_network.py

shansdah/sumo-rl

181e8a2d21aa1fb76a4f2c4c4fc3f3f5e622456e

[ "MIT" ]

null

sumo_rl/networks/q_network.py

shansdah/sumo-rl

181e8a2d21aa1fb76a4f2c4c4fc3f3f5e622456e

[ "MIT" ]

null

import tensorflow as tf from tensorflow.keras.models import Model from tensorflow.keras.layers import Dense, BatchNormalization, Lambda, Add, LayerNormalization, Input, LSTM, Concatenate from tensorflow.keras.losses import Huber from tensorflow.keras import backend as K import numpy as np tf.compat.v1.enable_eager_execution() # Predefined shared dimensions, global variables not extracted dynamically SHARED_MESSAGE_LENGTH = 8 SHARED_OUTPUT_SIZE = 4 ATTENTION_DIMENSION = 64 class Network: # Build vanilla DQN network def build_dqn_model_vanilla(input_list, output_list, communication_list, window_size, duel, target_net): agent_index = 0 inputs = [] inputs1 = [] # Configure inputs for each agent for i in input_list: inputs.append(Input(shape = (window_size, len(i.high),))) #(batches,time,dimension) input_temp1 = tf.slice(inputs[agent_index], [0,window_size-1,0],[-1,1,-1]) input_temp2 = tf.transpose(input_temp1, [1,0,2]) inputs1.append(tf.squeeze(input_temp2,[0])) #(batches,dimension) agent_index +=1 agent_index = 0 outs = [] outs1 = [] outs2 = [] state_value = [] action_advantage = [] # Configure outputs for each agent for i in output_list: outs1.append(layer1_t(inputs1[agent_index]) if target_net else layer1_v(inputs1[agent_index])) outs2.append(layer2_t(outs1[agent_index]) if target_net else layer2_v(outs1[agent_index])) # Dueling network if duel: # State values state_value.append(layer_value_t(outs2[agent_index]) if target_net else layer_value_v(outs2[agent_index])) state_value[agent_index] = Lambda(lambda s: K.expand_dims(s[:, 0], -1), output_shape=(i.n,))(state_value[agent_index]) # Action advantages action_advantage.append(layer_advantage_t(outs2[agent_index]) if target_net else layer_advantage_v(outs2[agent_index])) action_advantage[agent_index] = Lambda(lambda a: a[:, :] - K.mean(a[:, :], keepdims=True), output_shape=(i.n,))(action_advantage[agent_index]) outs.append(Add()([state_value[agent_index], action_advantage[agent_index]])) # DQN network else: outs.append(layer0_t(outs2[agent_index]) if target_net else layer0_v(outs2[agent_index])) agent_index += 1 q_net = Model(inputs=inputs, outputs=outs) q_net.compile(optimizer=tf.optimizers.Adam(learning_rate=0.001,clipvalue=40), loss=Huber(delta=1.0)) q_net.summary() return q_net def build_dqn_model_communication(input_list, output_list, communication_list, window_size, duel, target_net): # Configure inputs for each agent agent_index = 0 inputs = [] for i in input_list: inputs.append(Input(shape = (window_size,len(i.high),))) agent_index += 1 # Configure RNN for each agent agent_index = 0 hidden1 = [] for i in input_list: whole_seq_output = shared_lstm_t(inputs[agent_index]) if target_net else shared_lstm(inputs[agent_index]) hidden1.append(whole_seq_output) agent_index += 1 # Configure messages to send for each agent agent_index = 0 hidden2 = [] for i in communication_list: hidden2_temp = [] for j in i: hidden2_temp2 = tf.slice(inputs[j], [0,window_size-1,0],[-1,1,-1]) #(batch,time,dimension) hidden2_temp.append(hidden2_temp2) hidden2_temp1 = tf.convert_to_tensor(hidden2_temp, dtype=tf.float32) #(neighbor,batch,time,dimension) hidden2_temp2 = tf.transpose(hidden2_temp1,[2,1,0,3]) #(time,batch,neighbor,dimension) hidden2_temp3 = tf.squeeze(hidden2_temp2,[0]) #(batch,neighbor,dimension) positional_encoding_handler = PositionalEncoding(window_size, len(input_list[agent_index].high)) positional_encoding_handler2 = PositionalEncoding(len(i), len(input_list[agent_index].high)) positional_encoding = positional_encoding_handler.get_positional_encoding() positional_encoding2 = positional_encoding_handler2.get_positional_encoding() context = AttentionLayer(ATTENTION_DIMENSION)(hidden2_temp3+positional_encoding2, inputs[agent_index]+positional_encoding, hidden1[agent_index]) hidden2.append(context) agent_index += 1 # Configure messages to receive for each agent agent_index = 0 hidden3_temp = [] hidden3 = [] for i in communication_list: hidden3_temp = [] a = tf.squeeze(tf.slice(inputs[agent_index], [0,window_size-1,0],[-1,1,-1]),[1]) hidden3_temp7 = [] for j in i: index = 0 for k in communication_list[j]: if agent_index == k: hidden3_temp1 = tf.transpose(hidden2[j],[1,0,2]) #(neighbor,batch,dimension) hidden3_temp6 = tf.slice(hidden3_temp1, [index,0,0],[1,-1,-1]) hidden3_temp2 = tf.squeeze(hidden3_temp6,[0]) #(batch,dimension) hidden3_temp7.append(hidden3_temp2) continue index += 1 hidden3_temp8 = Add()(hidden3_temp7) hidden3_temp9 = Concatenate()([a,hidden3_temp8]) hidden3.append(hidden3_temp9) agent_index += 1 # Configure outputs for each agent agent_index = 0 outs = [] outs1 = [] outs2 = [] outs3 = [] outs4 = [] outs5 = [] state_value = [] action_advantage = [] for i in output_list: outs1.append(layer1_t_comm(hidden3[agent_index]) if target_net else layer1_v_comm(hidden3[agent_index])) outs2.append(layer2_t_comm(outs1[agent_index]) if target_net else layer2_v_comm(outs1[agent_index])) # Dueling network if duel: # State Values state_value.append(layer_value_t(outs2[agent_index]) if target_net else layer_value_v(outs2[agent_index])) state_value[agent_index] = Lambda(lambda s: K.expand_dims(s[:, 0], -1), output_shape=(i.n,))(state_value[agent_index]) # Action Advantages action_advantage.append(layer_advantage_t(outs2[agent_index]) if target_net else layer_advantage_v(outs2[agent_index])) action_advantage[agent_index] = Lambda(lambda a: a[:, :] - K.mean(a[:, :], keepdims=True), output_shape=(i.n,))(action_advantage[agent_index]) outs.append(Add()([state_value[agent_index], action_advantage[agent_index]])) # DQN network else: outs.append(layer0_t(outs2[agent_index]) if target_net else layer0_v(outs2[agent_index])) agent_index += 1 q_net = Model(inputs=inputs, outputs=outs) q_net.compile(optimizer=tf.optimizers.Adam(learning_rate=0.001,clipvalue=40), loss=Huber(delta=1.0)) q_net.summary() return q_net def build_dqn_model_communication2(input_list, output_list, communication_list, window_size, duel, target_net): # Input layer 0 agent_index = 0 inputs = [] for i in input_list: inputs.append(Input(shape = (window_size,len(i.high),))) agent_index += 1 hidden4 = [] agent_index = 0 for i in input_list: whole_seq_output = layer1_t(inputs[agent_index]) if target_net else layer1_v(inputs[agent_index]) hidden4.append(whole_seq_output) agent_index += 1 # LSTM layer 1 agent_index = 0 hidden1 = [] for i in input_list: whole_seq_output = shared_lstm_t(hidden4[agent_index]) if target_net else shared_lstm(hidden4[agent_index]) hidden1.append(whole_seq_output) agent_index += 1 # Communication source layer 2 agent_index = 0 hidden2 = [] for i in communication_list: hidden2_temp = [] for j in i: hidden2_temp2 = tf.slice(hidden1[j], [0,window_size-1,0],[-1,1,-1]) #(batch,time,dimension) hidden2_temp.append(hidden2_temp2) hidden2_temp1 = tf.convert_to_tensor(hidden2_temp, dtype=tf.float32) #(neighbor,batch,time,dimension) hidden2_temp2 = tf.transpose(hidden2_temp1,[2,1,0,3]) #(time,batch,neighbor,dimension) hidden2_temp3 = tf.squeeze(hidden2_temp2,[0]) #(batch,neighbor,dimension) positional_encoding_handler = PositionalEncoding(window_size, len(input_list[agent_index].high)) positional_encoding_handler2 = PositionalEncoding(len(i), len(input_list[agent_index].high)) positional_encoding = positional_encoding_handler.get_positional_encoding() positional_encoding2 = positional_encoding_handler2.get_positional_encoding() context = AttentionLayer(ATTENTION_DIMENSION)(hidden2_temp3+positional_encoding2, hidden1[agent_index]+positional_encoding, hidden1[agent_index]) hidden2.append(context) agent_index += 1 # Communication destination layer 3 agent_index = 0 hidden3_temp = [] hidden3 = [] for i in communication_list: hidden3_temp = [] a = tf.squeeze(tf.slice(hidden1[agent_index], [0,window_size-1,0],[-1,1,-1]),[1]) hidden3_temp7 = [] index1 = 0 for j in i: index = 0 for k in communication_list[j]: if agent_index == k: hidden3_temp1 = tf.transpose(hidden2[j],[1,0,2]) #(neighbor,batch,dimension) hidden3_temp6 = tf.slice(hidden3_temp1, [index,0,0],[1,-1,-1]) hidden3_temp2 = tf.squeeze(hidden3_temp6,[0]) #(batch,dimension) hidden3_temp7.append(hidden3_temp2) continue index += 1 index1 += 1 hidden3_temp8 = Add()(hidden3_temp7) hidden3_temp9 = Add()([a,hidden3_temp8]) hidden3.append(hidden3_temp9) agent_index += 1 # Final DQN layer agent_index = 0 outs = [] outs1 = [] outs2 = [] outs3 = [] outs4 = [] outs5 = [] state_value = [] action_advantage = [] for i in output_list: outs1.append(layer1_t_comm(hidden3[agent_index]) if target_net else layer1_v_comm(hidden3[agent_index])) outs2.append(layer2_t_comm(outs1[agent_index]) if target_net else layer2_v_comm(outs1[agent_index])) if duel: state_value.append(layer_value_t(outs2[agent_index]) if target_net else layer_value_v(outs2[agent_index])) state_value[agent_index] = Lambda(lambda s: K.expand_dims(s[:, 0], -1), output_shape=(i.n,))(state_value[agent_index]) action_advantage.append(layer_advantage_t(outs2[agent_index]) if target_net else layer_advantage_v(outs2[agent_index])) action_advantage[agent_index] = Lambda(lambda a: a[:, :] - K.mean(a[:, :], keepdims=True), output_shape=(i.n,))(action_advantage[agent_index]) outs.append(Add()([state_value[agent_index], action_advantage[agent_index]])) else: outs.append(layer0_t(outs2[agent_index]) if target_net else layer0_v(outs2[agent_index])) agent_index += 1 q_net = Model(inputs=inputs, outputs=outs) q_net.compile(optimizer=tf.optimizers.Adam(learning_rate=0.001,clipvalue=40), loss=Huber(delta=1.0)) q_net.summary() return q_net ###################################################################################################################################################### # Global shared hidden layers for all agents layer1_t = tf.keras.Sequential( [ tf.keras.layers.LayerNormalization( axis=-1, epsilon=0.001, center=True, scale=True, beta_initializer='zeros', gamma_initializer='ones', beta_regularizer=None, gamma_regularizer=None, beta_constraint=None, gamma_constraint=None ), Dense(32, activation=tf.nn.relu), ], ) layer1_v = tf.keras.Sequential( [ tf.keras.layers.LayerNormalization( axis=-1, epsilon=0.001, center=True, scale=True, beta_initializer='zeros', gamma_initializer='ones', beta_regularizer=None, gamma_regularizer=None, beta_constraint=None, gamma_constraint=None ), Dense(32, activation=tf.nn.relu), ], ) layer2_t = tf.keras.Sequential( [ Dense(16, activation=tf.nn.relu), ], ) layer2_v = tf.keras.Sequential( [ Dense(16, activation=tf.nn.relu), ], ) layer1_t_comm = tf.keras.Sequential( [ tf.keras.layers.LayerNormalization( axis=-1, epsilon=0.001, center=True, scale=True, beta_initializer='zeros', gamma_initializer='ones', beta_regularizer=None, gamma_regularizer=None, beta_constraint=None, gamma_constraint=None ), Dense(64, activation=tf.nn.relu), ], ) layer1_v_comm = tf.keras.Sequential( [ tf.keras.layers.LayerNormalization( axis=-1, epsilon=0.001, center=True, scale=True, beta_initializer='zeros', gamma_initializer='ones', beta_regularizer=None, gamma_regularizer=None, beta_constraint=None, gamma_constraint=None ), Dense(64, activation=tf.nn.relu), ], ) layer2_t_comm = tf.keras.Sequential( [ Dense(32, activation=tf.nn.relu), ], ) layer2_v_comm = tf.keras.Sequential( [ Dense(32, activation=tf.nn.relu), ], ) # Global shared output layers for all agents layer0_t = tf.keras.Sequential( [ Dense(SHARED_OUTPUT_SIZE, activation='linear'), ], ) layer0_v = tf.keras.Sequential( [ Dense(SHARED_OUTPUT_SIZE, activation='linear'), ], ) layer_value_t = tf.keras.Sequential( [ Dense(1, kernel_initializer='he_uniform'), ], ) layer_value_v = tf.keras.Sequential( [ Dense(1, kernel_initializer='he_uniform'), ], ) layer_advantage_t = tf.keras.Sequential( [ Dense(SHARED_OUTPUT_SIZE, kernel_initializer='he_uniform'), ], ) layer_advantage_v = tf.keras.Sequential( [ Dense(SHARED_OUTPUT_SIZE, kernel_initializer='he_uniform'), ], ) ####################################################################################################################################### # Positional encoding for vector class PositionalEncoding(object): # positon: number of distinct positions for each vector # d: dimensionality of vectors def __init__(self, position, d): angle_rads = self._get_angles(np.arange(position)[:, np.newaxis], np.arange(d)[np.newaxis, :], d) sines = np.sin(angle_rads[:, 0::2]) cosines = np.cos(angle_rads[:, 1::2]) self._encoding = np.concatenate([sines, cosines], axis=1) self._encoding = self._encoding[np.newaxis,] def _get_angles(self, position, i, d): angle_rates = 1 / np.power(10000, (2 * (i//2)) / np.float32(d)) return position * angle_rates def get_positional_encoding(self): return tf.cast(self._encoding, dtype=tf.float32) # Definition of attention layer class AttentionLayer(tf.keras.layers.Layer): def __init__(self, units): super( AttentionLayer, self).__init__() self.W1 = Dense(units) self.W2 = Dense(units) self.V = Dense(1) def get_config(self): config = super().get_config().copy() config.update({ 'value_weights': self.W1, 'query_weights': self.W2, 'score_weights': self.V, }) return config # Query:(neighbors,dimension) # Key: (time,dimension) # Value: (time,dimension) def call(self, query, key, values): #calculate the Attention score a=tf.transpose(key, [0,1,2]) #(neighbors,dimension) b=tf.transpose(query, [0,1,2]) #(time,dimension) c = self.W2(a) #(neighbors,attention_dimension) d = self.W1(b) #(time,attention_dimension) x = tf.matmul(tf.transpose(d, [0,1,2]) , tf.transpose(c, [0,2,1])) #(neighbors,time) score = (tf.nn.tanh(tf.transpose(x, [0,1,2]))) attention_weights = tf.nn.softmax(score, axis=1) context_vector= tf.matmul(attention_weights , values) #(neighbors,dimension) return context_vector shared_attention = AttentionLayer(ATTENTIN_DIMENSION) # Global shared LSTM layers shared_lstm = tf.keras.Sequential( [ tf.keras.layers.LayerNormalization( axis=-1, epsilon=0.001, center=True, scale=True, beta_initializer='zeros', gamma_initializer='ones', beta_regularizer=None, gamma_regularizer=None, beta_constraint=None, gamma_constraint=None ), LSTM(SHARED_MESSAGE_LENGTH*SHARED_OUTPUT_SIZE,return_sequences=True), ], ) shared_lstm_t = tf.keras.Sequential( [ tf.keras.layers.LayerNormalization( axis=-1, epsilon=0.001, center=True, scale=True, beta_initializer='zeros', gamma_initializer='ones', beta_regularizer=None, gamma_regularizer=None, beta_constraint=None, gamma_constraint=None ), LSTM(SHARED_MESSAGE_LENGTH*SHARED_OUTPUT_SIZE,return_sequences=True), ], )

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Python

alternative_epg/__init__.py

DanAustinGH/fHDHR_NextPVR

27a8045fc123a91fbc10adb0908dbf78da3592ac

[ "WTFPL" ]

null

alternative_epg/__init__.py

DanAustinGH/fHDHR_NextPVR

27a8045fc123a91fbc10adb0908dbf78da3592ac

[ "WTFPL" ]

null

alternative_epg/__init__.py

DanAustinGH/fHDHR_NextPVR

27a8045fc123a91fbc10adb0908dbf78da3592ac

[ "WTFPL" ]

null

# pylama:ignore=W0401,W0611 from .zap2it import * from .tvtv import *

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Python

venv/lib/python3.8/site-packages/jedi/inference/value/__init__.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/jedi/inference/value/__init__.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/jedi/inference/value/__init__.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/e5/e9/da/214f8d288054a5b9b429baefae21ff774a6e6d7706f3961d6a741c2f7c

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80ec78d76200dfcb2d3596f77f7ea4ba4f0374e9

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Python

Python/API/ex.py

marcelosilva7/Primeiro-repositorio

2550c86d07101bed84e0d110599a9492b1069263

[ "MIT" ]

null

Python/API/ex.py

marcelosilva7/Primeiro-repositorio

2550c86d07101bed84e0d110599a9492b1069263

[ "MIT" ]

null

Python/API/ex.py

marcelosilva7/Primeiro-repositorio

2550c86d07101bed84e0d110599a9492b1069263

[ "MIT" ]

null

#Calcule e escreva o resultado dos 10 primeiros termos da sequencia #h = 2/500 - 5/450 + 2/400 - 5/350

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Python

pyqt5_material/resources/resource_rc.py

Virinas-code/pyqt5-material

f393c4d024d67e3a1754ece06c711d5491266978

[ "BSD-2-Clause" ]

8

2020-10-21T15:31:38.000Z

2020-12-01T13:14:37.000Z

pyqt5_material/resources/resource_rc.py

Virinas-code/pyqt5-material

f393c4d024d67e3a1754ece06c711d5491266978

[ "BSD-2-Clause" ]

1

2020-12-05T20:33:44.000Z

2020-12-06T04:42:05.000Z

pyqt5_material/resources/resource_rc.py

Virinas-code/pyqt5-material

f393c4d024d67e3a1754ece06c711d5491266978

[ "BSD-2-Clause" ]

3

2020-10-21T15:31:39.000Z

2020-11-17T11:35:44.000Z

# -*- coding: utf-8 -*- # Resource object code # # Created by: The Resource Compiler for PyQt5 (Qt v5.9.7) # # WARNING! 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\x00\x00\x02\x4a\x00\x01\x00\x00\x00\x01\x00\x00\x66\x8c\ \x00\x00\x01\x74\x54\x97\xcd\xe2\ \x00\x00\x02\xc8\x00\x01\x00\x00\x00\x01\x00\x00\x7e\x7b\ \x00\x00\x01\x74\x54\x97\xcd\xe2\ \x00\x00\x02\x28\x00\x01\x00\x00\x00\x01\x00\x00\x5e\xf4\ \x00\x00\x01\x74\x54\x97\xcd\xe2\ \x00\x00\x01\xe0\x00\x01\x00\x00\x00\x01\x00\x00\x4e\xbc\ \x00\x00\x01\x74\x54\x97\xcd\xe2\ \x00\x00\x00\xca\x00\x01\x00\x00\x00\x01\x00\x00\x1e\xd4\ \x00\x00\x01\x74\x54\x97\xcd\xe2\ \x00\x00\x00\x84\x00\x01\x00\x00\x00\x01\x00\x00\x0f\x91\ \x00\x00\x01\x74\x54\x97\xcd\xe2\ \x00\x00\x01\x36\x00\x01\x00\x00\x00\x01\x00\x00\x2e\xc7\ \x00\x00\x01\x74\x54\x97\xcd\xe2\ \x00\x00\x01\x52\x00\x01\x00\x00\x00\x01\x00\x00\x36\x60\ \x00\x00\x01\x74\x54\x97\xcd\xe2\ \x00\x00\x00\x50\x00\x01\x00\x00\x00\x01\x00\x00\x07\xb9\ \x00\x00\x01\x74\x54\x97\xcd\xe2\ \x00\x00\x02\x0e\x00\x01\x00\x00\x00\x01\x00\x00\x57\x29\ \x00\x00\x01\x74\x54\x97\xcd\xe2\ \x00\x00\x02\xa8\x00\x01\x00\x00\x00\x01\x00\x00\x76\xe3\ \x00\x00\x01\x74\x54\x97\xcd\xe2\ \x00\x00\x00\x9a\x00\x01\x00\x00\x00\x01\x00\x00\x16\xea\ \x00\x00\x01\x74\x54\x97\xcd\xe2\ \x00\x00\x01\xc0\x00\x01\x00\x00\x00\x01\x00\x00\x47\x22\ \x00\x00\x01\x74\x54\x97\xcd\xe2\ " qt_version = QtCore.qVersion().split('.') if qt_version < ['5', '8', '0']: rcc_version = 1 qt_resource_struct = qt_resource_struct_v1 else: rcc_version = 2 qt_resource_struct = qt_resource_struct_v2 def qInitResources(): QtCore.qRegisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) def qCleanupResources(): QtCore.qUnregisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) qInitResources()

63.609369

129

0.726572

79,501

328,606

3.002704

0.003849

0.013346

0.006485

0.007339

0.687472

0.677217

0.671043

0.666355

0.662962

0.660587

0

0.310258

0.015974

328,606

5,165

130

63.621684

0.427991

0.00046

0

0.632162

0

0.953001

0.000012

0

1

0

1

0.000388

false

0

0.000194

0

0.000583

0

null

0

1

0

1

0

1

0

1

0

null

1

0

5

03a3a6f2e17cc49883ecf5642cef45e40f145130

120

py

Python

src/Python/hello.py

cesarrrguez/CSharpScripts

010b4a617a71a681b4be1dbd5597d18ec0ee1d86

[ "MIT" ]

4

2021-03-25T22:30:01.000Z

2021-05-07T09:30:37.000Z

src/Python/hello.py

cesarrrguez/CSharpScripts

cff1a4971f1ad27f66ea9954d4ec521b51e86363

[ "MIT" ]

null

src/Python/hello.py

cesarrrguez/CSharpScripts

cff1a4971f1ad27f66ea9954d4ec521b51e86363

[ "MIT" ]

1

2021-08-28T03:28:38.000Z

print("Hello! I am a script in python"); def Hi(firstName, lastName): print("Hello " + firstName + " " + lastName)

24

48

0.641667

16

120

4.8125

0.75

0.25974

0

0.2

120

4

49

30

0.802083

0

0.308333

0

1

0.333333

false

0

0.333333

0.666667

1

0

null

1

0

1

0

null

0

1

0

1

0

5

03bc640515ec8458339fb897f42b49eddeb7fee7

426

py

Python

src/a05obiekty/Stack.py

tborzyszkowski/PSPI_Wstep_do_programowania

4aca4dfe5a8daed19d7852dd29b6cfa57df8f51c

[ "MIT" ]

null

src/a05obiekty/Stack.py

tborzyszkowski/PSPI_Wstep_do_programowania

4aca4dfe5a8daed19d7852dd29b6cfa57df8f51c

[ "MIT" ]

null

src/a05obiekty/Stack.py

tborzyszkowski/PSPI_Wstep_do_programowania

4aca4dfe5a8daed19d7852dd29b6cfa57df8f51c

[ "MIT" ]

null

class Stack: def __init__(self) -> None: self.elements = [] def push(self, element): self.elements.append(element) def size(self): return len(self.elements) def pop(self): result = self.elements[self.size()-1] self.elements = self.elements[:self.size()-1] return result def peek(self): result = self.elements[self.size()-1] return result

22.421053

53

0.58216

52

426

4.692308

0.326923

0.344262

0.262295

0.245902

0.438525

0

0.009868

0.286385

426

19

54

22.421053

0.792763

0

0.285714

0

1

0.357143

false

0

0.071429

0.642857

0

null

1

0

null

0

1

0

1

0

5

03e041a293ffb2a14231531b5d9423f19ba4c22f

559

py

Python

config.py

lllmel/azazq

5191a4649e3185502dbf7e4602987b0a0a5d6b60

[ "Apache-2.0" ]

null

config.py

lllmel/azazq

5191a4649e3185502dbf7e4602987b0a0a5d6b60

[ "Apache-2.0" ]

null

config.py

lllmel/azazq

5191a4649e3185502dbf7e4602987b0a0a5d6b60

[ "Apache-2.0" ]

null

API_TOKEN = '5218149935:AAH8qNCC69ToT29CbWppROwM4lefow9WS7k' # токен от вашего бота в телеграме (взять тут t.me/botfather) number = '79049966033' # номер киви кошелька QIWI_SEC_TOKEN = 'eyJ2ZXJzaW9uIjoiUDJQIiwiZGF0YSI6eyJwYXlpbl9tZXJjaGFudF9zaXRlX3VpZCI6InY3NWU4MS0wMCIsInVzZXJfaWQiOiI3OTA0OTk2NjAzMyIsInNlY3JldCI6Ijk4M2U0ZWQ5MzRjYjIyOTkxNjJkOWMyZjQ4YjBjNzA3ZmU1NWViYzcxYzNjNDY1YjkyMTFmOTVlMzUzOWM1ZWYifX0=' # секретный ключ p2p https://p2p.qiwi.com admin = 1066406624 # id админа, узнать тут t.me/userinfobot admin_name = 'Azq' # username админа, без @

93.166667

282

0.849732

46

559

10.23913

0.826087

0.016985

0.025478

0

0.131631

0.089445

559

5

283

111.8

0.793713

0.323792

0

0.762943

0.724796

0

1

0

false

0

1

null

0

1

0

1

0

1

null

0

5

2086195bbb11552c7a95987da74715d4191b23d9

46

py

Python

astrobot/exceptions.py

astro-devel/astrobot

d0a957731cabed23a7442c8ad4672e7331946e26

[ "MIT" ]

null

astrobot/exceptions.py

astro-devel/astrobot

d0a957731cabed23a7442c8ad4672e7331946e26

[ "MIT" ]

8

2022-01-24T00:14:54.000Z

2022-03-25T18:19:20.000Z

astrobot/exceptions.py

astro-devel/astrobot

d0a957731cabed23a7442c8ad4672e7331946e26

[ "MIT" ]

1

2022-01-24T22:37:47.000Z

class HalysNotTechnician(Exception): pass

15.333333

36

0.782609

4

46

9

1

0

0.152174

46

2

37

23

0.923077

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

20880c9853c893822064b65976c8334b18bb4eee

130

py

Python

lib/__init__.py

jinfagang/fasterrcnn_pytorch

a25d3743d3537795b1141fa9b89cccc55697f3f9

[ "MIT" ]

3

2019-03-08T08:55:50.000Z

2019-06-08T14:10:56.000Z

lib/__init__.py

jinfagang/fasterrcnn_pytorch

a25d3743d3537795b1141fa9b89cccc55697f3f9

[ "MIT" ]

2

2019-04-12T11:57:21.000Z

2019-11-09T08:55:09.000Z

lib/__init__.py

jinfagang/fasterrcnn_pytorch

a25d3743d3537795b1141fa9b89cccc55697f3f9

[ "MIT" ]

null

# Copyrights by Jin Fagang # 3/8/19-08-17 # __init__.py # jinfagang19@gmail.com # CTI Robotics # ---------------------------------

21.666667

35

0.530769

16

130

4.0625

1

0

0.086957

0.115385

130

6

35

21.666667

0.478261

0.907692

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

20a8923afb89896e98d3cce1470b418771168e13

135

py

Python

demae/source/__init__.py

uiureo/demae

818d6584164f04001bf0e75f62c526284521ce69

[ "MIT" ]

6

2017-10-20T09:15:10.000Z

2019-03-18T23:07:05.000Z

demae/source/__init__.py

uiureo/demae

818d6584164f04001bf0e75f62c526284521ce69

[ "MIT" ]

null

demae/source/__init__.py

uiureo/demae

818d6584164f04001bf0e75f62c526284521ce69

[ "MIT" ]

null

# flake8: noqa from .s3_source import S3Source from .redshift_source import RedshiftSource from .redshift_config import RedshiftConfig

27

43

0.851852

17

135

6.588235

0.647059

0.214286

0

0.025

0.111111

135

4

44

33.75

0.908333

0.088889

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

20c5dd4dd3203ae2e5b33d9cf3063cb4ef89b1c7

123

py

Python

employee/admin.py

resourceidea/resourceideaapi

4cc7db98f981d8f2011c1995e23e8a8655e31f75

[ "MIT" ]

1

2020-05-30T22:27:59.000Z

employee/admin.py

resourceidea/resourceideaapi

4cc7db98f981d8f2011c1995e23e8a8655e31f75

[ "MIT" ]

15

2020-02-11T21:53:08.000Z

2021-11-02T21:20:03.000Z

employee/admin.py

resourceidea/resourceideaapi

4cc7db98f981d8f2011c1995e23e8a8655e31f75

[ "MIT" ]

1

2020-08-27T10:57:47.000Z

from django.contrib import admin # type: ignore from employee.models import Employee admin.site.register(Employee)

20.5

49

0.772358

16

123

5.9375

0.6875

0

0.162602

123

5

50

24.6

0.92233

0.097561

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

20c85dbe04d9cc54946b046c741a05df4778e510

56

wsgi

Python

earth_enterprise/src/server/wsgi/wms/ogc/service/wms_request_app.wsgi

ezeeyahoo/earthenterprise

b6cac9e6228946f2f17d1edb75e118aeb3e8e8c9

[ "Apache-2.0" ]

2,661

2017-03-20T22:12:50.000Z

2022-03-30T09:43:19.000Z

earth_enterprise/src/server/wsgi/wms/ogc/service/wms_request_app.wsgi

ezeeyahoo/earthenterprise

b6cac9e6228946f2f17d1edb75e118aeb3e8e8c9

[ "Apache-2.0" ]

1,531

2017-03-24T17:20:32.000Z

2022-03-16T18:11:14.000Z

earth_enterprise/src/server/wsgi/wms/ogc/service/wms_request_app.wsgi

ezeeyahoo/earthenterprise

b6cac9e6228946f2f17d1edb75e118aeb3e8e8c9

[ "Apache-2.0" ]

990

2017-03-24T11:54:28.000Z

2022-03-22T11:51:47.000Z

from wms.ogc.service.wms_request_app import application

28

55

0.875

9

56

5.222222

0.888889

0

0.071429

56

1

56

0.903846

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

20ead5a3d63b49122794a45936c68208f9a93d1c

150

py

Python

tests/test_filter.py

ongyx/vgmusic.py

2b9ca66d2a7cac3913890c4446bab4424bb7ab2d

[ "MIT" ]

null

tests/test_filter.py

ongyx/vgmusic.py

2b9ca66d2a7cac3913890c4446bab4424bb7ab2d

[ "MIT" ]

null

tests/test_filter.py

ongyx/vgmusic.py

2b9ca66d2a7cac3913890c4446bab4424bb7ab2d

[ "MIT" ]

null

import vgmusic with vgmusic.API(force_cache=["Nintendo Switch"]) as api: print(api.search_by_regex("Nintendo Switch", "Sonic Mania", "Act"))

30

72

0.713333

21

150

4.952381

0.761905

0.269231

0

0.14

150

4

73

37.5

0.806202

0

0.30137

0

1

0

true

0

0.333333

0

0.333333

1

0

null

1

0

1

0

null

0

1

0

1

0

5

4566817643a116cba85d1f84c349fb119f8a49bb

31,288

py

Python

packages/divprop/src/divprop/all_sboxes.py

CryptoExperts/AC21-divprop-convexity

ed4fb715c484b12413a5c59e4f189bcc37889449

[ "MIT" ]

4

2021-11-13T03:31:00.000Z

2022-02-25T02:02:58.000Z

packages/divprop/src/divprop/all_sboxes.py

CryptoExperts/AC21-divprop-convexity

ed4fb715c484b12413a5c59e4f189bcc37889449

[ "MIT" ]

null

packages/divprop/src/divprop/all_sboxes.py

CryptoExperts/AC21-divprop-convexity

ed4fb715c484b12413a5c59e4f189bcc37889449

[ "MIT" ]

null

""" Part of the S-box collection by Léo Perrin, see https://doc.sagemath.org/html/en/reference/cryptography/sage/crypto/sboxes.html """ from divprop import Sbox AES = [0x63, 0x7c, 0x77, 0x7b, 0xf2, 0x6b, 0x6f, 0xc5, 0x30, 0x1, 0x67, 0x2b, 0xfe, 0xd7, 0xab, 0x76, 0xca, 0x82, 0xc9, 0x7d, 0xfa, 0x59, 0x47, 0xf0, 0xad, 0xd4, 0xa2, 0xaf, 0x9c, 0xa4, 0x72, 0xc0, 0xb7, 0xfd, 0x93, 0x26, 0x36, 0x3f, 0xf7, 0xcc, 0x34, 0xa5, 0xe5, 0xf1, 0x71, 0xd8, 0x31, 0x15, 0x4, 0xc7, 0x23, 0xc3, 0x18, 0x96, 0x5, 0x9a, 0x7, 0x12, 0x80, 0xe2, 0xeb, 0x27, 0xb2, 0x75, 0x9, 0x83, 0x2c, 0x1a, 0x1b, 0x6e, 0x5a, 0xa0, 0x52, 0x3b, 0xd6, 0xb3, 0x29, 0xe3, 0x2f, 0x84, 0x53, 0xd1, 0x0, 0xed, 0x20, 0xfc, 0xb1, 0x5b, 0x6a, 0xcb, 0xbe, 0x39, 0x4a, 0x4c, 0x58, 0xcf, 0xd0, 0xef, 0xaa, 0xfb, 0x43, 0x4d, 0x33, 0x85, 0x45, 0xf9, 0x2, 0x7f, 0x50, 0x3c, 0x9f, 0xa8, 0x51, 0xa3, 0x40, 0x8f, 0x92, 0x9d, 0x38, 0xf5, 0xbc, 0xb6, 0xda, 0x21, 0x10, 0xff, 0xf3, 0xd2, 0xcd, 0xc, 0x13, 0xec, 0x5f, 0x97, 0x44, 0x17, 0xc4, 0xa7, 0x7e, 0x3d, 0x64, 0x5d, 0x19, 0x73, 0x60, 0x81, 0x4f, 0xdc, 0x22, 0x2a, 0x90, 0x88, 0x46, 0xee, 0xb8, 0x14, 0xde, 0x5e, 0xb, 0xdb, 0xe0, 0x32, 0x3a, 0xa, 0x49, 0x6, 0x24, 0x5c, 0xc2, 0xd3, 0xac, 0x62, 0x91, 0x95, 0xe4, 0x79, 0xe7, 0xc8, 0x37, 0x6d, 0x8d, 0xd5, 0x4e, 0xa9, 0x6c, 0x56, 0xf4, 0xea, 0x65, 0x7a, 0xae, 0x8, 0xba, 0x78, 0x25, 0x2e, 0x1c, 0xa6, 0xb4, 0xc6, 0xe8, 0xdd, 0x74, 0x1f, 0x4b, 0xbd, 0x8b, 0x8a, 0x70, 0x3e, 0xb5, 0x66, 0x48, 0x3, 0xf6, 0xe, 0x61, 0x35, 0x57, 0xb9, 0x86, 0xc1, 0x1d, 0x9e, 0xe1, 0xf8, 0x98, 0x11, 0x69, 0xd9, 0x8e, 0x94, 0x9b, 0x1e, 0x87, 0xe9, 0xce, 0x55, 0x28, 0xdf, 0x8c, 0xa1, 0x89, 0xd, 0xbf, 0xe6, 0x42, 0x68, 0x41, 0x99, 0x2d, 0xf, 0xb0, 0x54, 0xbb, 0x16] APN_6 = [0x0, 0x36, 0x30, 0xd, 0xf, 0x12, 0x35, 0x23, 0x19, 0x3f, 0x2d, 0x34, 0x3, 0x14, 0x29, 0x21, 0x3b, 0x24, 0x2, 0x22, 0xa, 0x8, 0x39, 0x25, 0x3c, 0x13, 0x2a, 0xe, 0x32, 0x1a, 0x3a, 0x18, 0x27, 0x1b, 0x15, 0x11, 0x10, 0x1d, 0x1, 0x3e, 0x2f, 0x28, 0x33, 0x38, 0x7, 0x2b, 0x2c, 0x26, 0x1f, 0xb, 0x4, 0x1c, 0x3d, 0x2e, 0x5, 0x31, 0x9, 0x6, 0x17, 0x20, 0x1e, 0xc, 0x37, 0x16] Ascon = [0x4, 0xb, 0x1f, 0x14, 0x1a, 0x15, 0x9, 0x2, 0x1b, 0x5, 0x8, 0x12, 0x1d, 0x3, 0x6, 0x1c, 0x1e, 0x13, 0x7, 0xe, 0x0, 0xd, 0x11, 0x18, 0x10, 0xc, 0x1, 0x19, 0x16, 0xa, 0xf, 0x17] DryGASCON128 = [0x4, 0xf, 0x1b, 0x1, 0xb, 0x0, 0x17, 0xd, 0x1f, 0x1c, 0x2, 0x10, 0x12, 0x11, 0xc, 0x1e, 0x1a, 0x19, 0x14, 0x6, 0x15, 0x16, 0x18, 0xa, 0x5, 0xe, 0x9, 0x13, 0x8, 0x3, 0x7, 0x1d] DryGASCON256 = [0x10, 0x93, 0x11f, 0x9d, 0x1f, 0x9c, 0x113, 0x91, 0x2a, 0xa9, 0x127, 0xa5, 0x27, 0xa4, 0x129, 0xab, 0x2c, 0xaf, 0x123, 0xa1, 0x23, 0xa0, 0x12f, 0xad, 0x1a, 0x99, 0x117, 0x95, 0x17, 0x94, 0x119, 0x9b, 0xf8, 0x7b, 0x1f7, 0x75, 0xf7, 0x74, 0x1fb, 0x79, 0xca, 0x49, 0x1c7, 0x45, 0xc7, 0x44, 0x1c9, 0x4b, 0xcc, 0x4f, 0x1c3, 0x41, 0xc3, 0x40, 0x1cf, 0x4d, 0xf2, 0x71, 0x1ff, 0x7d, 0xff, 0x7c, 0x1f1, 0x73, 0xe0, 0x63, 0x1ef, 0x6d, 0xef, 0x6c, 0x1e3, 0x61, 0xda, 0x59, 0x1d7, 0x55, 0xd7, 0x54, 0x1d9, 0x5b, 0xdc, 0x5f, 0x1d3, 0x51, 0xd3, 0x50, 0x1df, 0x5d, 0xea, 0x69, 0x1e7, 0x65, 0xe7, 0x64, 0x1e9, 0x6b, 0x38, 0xbb, 0x137, 0xb5, 0x37, 0xb4, 0x13b, 0xb9, 0xa, 0x89, 0x107, 0x85, 0x7, 0x84, 0x109, 0x8b, 0xc, 0x8f, 0x103, 0x81, 0x3, 0x80, 0x10f, 0x8d, 0x32, 0xb1, 0x13f, 0xbd, 0x3f, 0xbc, 0x131, 0xb3, 0x1b1, 0x1b2, 0xbe, 0x1bc, 0x1be, 0x1bd, 0xb2, 0x1b0, 0x18b, 0x188, 0x86, 0x184, 0x186, 0x185, 0x88, 0x18a, 0x18d, 0x18e, 0x82, 0x180, 0x182, 0x181, 0x8e, 0x18c, 0x1bb, 0x1b8, 0xb6, 0x1b4, 0x1b6, 0x1b5, 0xb8, 0x1ba, 0x179, 0x17a, 0x76, 0x174, 0x176, 0x175, 0x7a, 0x178, 0x14b, 0x148, 0x46, 0x144, 0x146, 0x145, 0x48, 0x14a, 0x14d, 0x14e, 0x42, 0x140, 0x142, 0x141, 0x4e, 0x14c, 0x173, 0x170, 0x7e, 0x17c, 0x17e, 0x17d, 0x70, 0x172, 0x161, 0x162, 0x6e, 0x16c, 0x16e, 0x16d, 0x62, 0x160, 0x15b, 0x158, 0x56, 0x154, 0x156, 0x155, 0x58, 0x15a, 0x15d, 0x15e, 0x52, 0x150, 0x152, 0x151, 0x5e, 0x15c, 0x16b, 0x168, 0x66, 0x164, 0x166, 0x165, 0x68, 0x16a, 0x199, 0x19a, 0x96, 0x194, 0x196, 0x195, 0x9a, 0x198, 0x1ab, 0x1a8, 0xa6, 0x1a4, 0x1a6, 0x1a5, 0xa8, 0x1aa, 0x1ad, 0x1ae, 0xa2, 0x1a0, 0x1a2, 0x1a1, 0xae, 0x1ac, 0x193, 0x190, 0x9e, 0x19c, 0x19e, 0x19d, 0x90, 0x192, 0x1d2, 0x1d1, 0x1d, 0xde, 0x1dd, 0x1de, 0x1d, 0xd2, 0x1e8, 0x1eb, 0x1e, 0xe6, 0x1e5, 0x1e6, 0x1e, 0xe8, 0x1ee, 0x1ed, 0x1e, 0xe2, 0x1e1, 0x1e2, 0x1e, 0xee, 0x1d8, 0x1db, 0x1d, 0xd6, 0x1d5, 0x1d6, 0x1d, 0xd8, 0x13a, 0x139, 0x13, 0x36, 0x135, 0x136, 0x13, 0x3a, 0x108, 0x10b, 0x10, 0x6, 0x105, 0x106, 0x10, 0x8, 0x10e, 0x10d, 0x10, 0x2, 0x101, 0x102, 0x10, 0xe, 0x130, 0x133, 0x13, 0x3e, 0x13d, 0x13e, 0x13, 0x30, 0x122, 0x121, 0x12, 0x2e, 0x12d, 0x12e, 0x12, 0x22, 0x118, 0x11b, 0x11, 0x16, 0x115, 0x116, 0x11, 0x18, 0x11e, 0x11d, 0x11, 0x12, 0x111, 0x112, 0x11, 0x1e, 0x128, 0x12b, 0x12, 0x26, 0x125, 0x126, 0x12, 0x28, 0x1fa, 0x1f9, 0x1f, 0xf6, 0x1f5, 0x1f6, 0x1f, 0xfa, 0x1c8, 0x1cb, 0x1c, 0xc6, 0x1c5, 0x1c6, 0x1c, 0xc8, 0x1ce, 0x1cd, 0x1c, 0xc2, 0x1c1, 0x1c2, 0x1c, 0xce, 0x1f0, 0x1f3, 0x1f, 0xfe, 0x1fd, 0x1fe, 0x1f, 0xf0, 0x33, 0xb0, 0x3d, 0x1bf, 0x3c, 0xbf, 0x31, 0x1b3, 0x9, 0x8a, 0x5, 0x187, 0x4, 0x87, 0xb, 0x189, 0xf, 0x8c, 0x1, 0x183, 0x0, 0x83, 0xd, 0x18f, 0x39, 0xba, 0x35, 0x1b7, 0x34, 0xb7, 0x3b, 0x1b9, 0xfb, 0x78, 0xf5, 0x177, 0xf4, 0x77, 0xf9, 0x17b, 0xc9, 0x4a, 0xc5, 0x147, 0xc4, 0x47, 0xcb, 0x149, 0xcf, 0x4c, 0xc1, 0x143, 0xc0, 0x43, 0xcd, 0x14f, 0xf1, 0x72, 0xfd, 0x17f, 0xfc, 0x7f, 0xf3, 0x171, 0xe3, 0x60, 0xed, 0x16f, 0xec, 0x6f, 0xe1, 0x163, 0xd9, 0x5a, 0xd5, 0x157, 0xd4, 0x57, 0xdb, 0x159, 0xdf, 0x5c, 0xd1, 0x153, 0xd0, 0x53, 0xdd, 0x15f, 0xe9, 0x6a, 0xe5, 0x167, 0xe4, 0x67, 0xeb, 0x169, 0x1b, 0x98, 0x15, 0x197, 0x14, 0x97, 0x19, 0x19b, 0x29, 0xaa, 0x25, 0x1a7, 0x24, 0xa7, 0x2b, 0x1a9, 0x2f, 0xac, 0x21, 0x1a3, 0x20, 0xa3, 0x2d, 0x1af, 0x11, 0x92, 0x1d, 0x19f, 0x1c, 0x9f, 0x13, 0x191] Fides_5 = [0x1, 0x0, 0x19, 0x1a, 0x11, 0x1d, 0x15, 0x1b, 0x14, 0x5, 0x4, 0x17, 0xe, 0x12, 0x2, 0x1c, 0xf, 0x8, 0x6, 0x3, 0xd, 0x7, 0x18, 0x10, 0x1e, 0x9, 0x1f, 0xa, 0x16, 0xc, 0xb, 0x13] Fides_6 = [0x36, 0x0, 0x30, 0xd, 0xf, 0x12, 0x23, 0x35, 0x3f, 0x19, 0x2d, 0x34, 0x3, 0x14, 0x21, 0x29, 0x8, 0xa, 0x39, 0x25, 0x3b, 0x24, 0x22, 0x2, 0x1a, 0x32, 0x3a, 0x18, 0x3c, 0x13, 0xe, 0x2a, 0x2e, 0x3d, 0x5, 0x31, 0x1f, 0xb, 0x1c, 0x4, 0xc, 0x1e, 0x37, 0x16, 0x9, 0x6, 0x20, 0x17, 0x1b, 0x27, 0x15, 0x11, 0x10, 0x1d, 0x3e, 0x1, 0x28, 0x2f, 0x33, 0x38, 0x7, 0x2b, 0x26, 0x2c] GIFT = [0x1, 0xa, 0x4, 0xc, 0x6, 0xf, 0x3, 0x9, 0x2, 0xd, 0xb, 0x7, 0x5, 0x0, 0x8, 0xe] Iceberg = [0x24, 0xc1, 0x38, 0x30, 0xe7, 0x57, 0xdf, 0x20, 0x3e, 0x99, 0x1a, 0x34, 0xca, 0xd6, 0x52, 0xfd, 0x40, 0x6c, 0xd3, 0x3d, 0x4a, 0x59, 0xf8, 0x77, 0xfb, 0x61, 0xa, 0x56, 0xb9, 0xd2, 0xfc, 0xf1, 0x7, 0xf5, 0x93, 0xcd, 0x0, 0xb6, 0x62, 0xa7, 0x63, 0xfe, 0x44, 0xbd, 0x5f, 0x92, 0x6b, 0x68, 0x3, 0x4e, 0xa2, 0x97, 0xb, 0x60, 0x83, 0xa3, 0x2, 0xe5, 0x45, 0x67, 0xf4, 0x13, 0x8, 0x8b, 0x10, 0xce, 0xbe, 0xb4, 0x2a, 0x3a, 0x96, 0x84, 0xc8, 0x9f, 0x14, 0xc0, 0xc4, 0x6f, 0x31, 0xd9, 0xab, 0xae, 0xe, 0x64, 0x7c, 0xda, 0x1b, 0x5, 0xa8, 0x15, 0xa5, 0x90, 0x94, 0x85, 0x71, 0x2c, 0x35, 0x19, 0x26, 0x28, 0x53, 0xe2, 0x7f, 0x3b, 0x2f, 0xa9, 0xcc, 0x2e, 0x11, 0x76, 0xed, 0x4d, 0x87, 0x5e, 0xc2, 0xc7, 0x80, 0xb0, 0x6d, 0x17, 0xb2, 0xff, 0xe4, 0xb7, 0x54, 0x9d, 0xb8, 0x66, 0x74, 0x9c, 0xdb, 0x36, 0x47, 0x5d, 0xde, 0x70, 0xd5, 0x91, 0xaa, 0x3f, 0xc9, 0xd8, 0xf3, 0xf2, 0x5b, 0x89, 0x2d, 0x22, 0x5c, 0xe1, 0x46, 0x33, 0xe6, 0x9, 0xbc, 0xe8, 0x81, 0x7d, 0xe9, 0x49, 0xe0, 0xb1, 0x32, 0x37, 0xea, 0x5a, 0xf6, 0x27, 0x58, 0x69, 0x8a, 0x50, 0xba, 0xdd, 0x51, 0xf9, 0x75, 0xa1, 0x78, 0xd0, 0x43, 0xf7, 0x25, 0x7b, 0x7e, 0x1c, 0xac, 0xd4, 0x9a, 0x2b, 0x42, 0xe3, 0x4b, 0x1, 0x72, 0xd7, 0x4c, 0xfa, 0xeb, 0x73, 0x48, 0x8c, 0xc, 0xf0, 0x6a, 0x23, 0x41, 0xec, 0xb3, 0xef, 0x1d, 0x12, 0xbb, 0x88, 0xd, 0xc3, 0x8d, 0x4f, 0x55, 0x82, 0xee, 0xad, 0x86, 0x6, 0xa0, 0x95, 0x65, 0xbf, 0x7a, 0x39, 0x98, 0x4, 0x9b, 0x9e, 0xa4, 0xc6, 0xcf, 0x6e, 0xdc, 0xd1, 0xcb, 0x1f, 0x8f, 0x8e, 0x3c, 0x21, 0xa6, 0xb5, 0x16, 0xaf, 0xc5, 0x18, 0x1e, 0xf, 0x29, 0x79] KLEIN = [0x7, 0x4, 0xa, 0x9, 0x1, 0xf, 0xb, 0x0, 0xc, 0x3, 0x2, 0x6, 0x8, 0xe, 0xd, 0x5] KNOT = [0x4, 0x0, 0xa, 0x7, 0xb, 0xe, 0x1, 0xd, 0x9, 0xf, 0x6, 0x8, 0x5, 0x2, 0xc, 0x3] Kuznyechik = [0xfc, 0xee, 0xdd, 0x11, 0xcf, 0x6e, 0x31, 0x16, 0xfb, 0xc4, 0xfa, 0xda, 0x23, 0xc5, 0x4, 0x4d, 0xe9, 0x77, 0xf0, 0xdb, 0x93, 0x2e, 0x99, 0xba, 0x17, 0x36, 0xf1, 0xbb, 0x14, 0xcd, 0x5f, 0xc1, 0xf9, 0x18, 0x65, 0x5a, 0xe2, 0x5c, 0xef, 0x21, 0x81, 0x1c, 0x3c, 0x42, 0x8b, 0x1, 0x8e, 0x4f, 0x5, 0x84, 0x2, 0xae, 0xe3, 0x6a, 0x8f, 0xa0, 0x6, 0xb, 0xed, 0x98, 0x7f, 0xd4, 0xd3, 0x1f, 0xeb, 0x34, 0x2c, 0x51, 0xea, 0xc8, 0x48, 0xab, 0xf2, 0x2a, 0x68, 0xa2, 0xfd, 0x3a, 0xce, 0xcc, 0xb5, 0x70, 0xe, 0x56, 0x8, 0xc, 0x76, 0x12, 0xbf, 0x72, 0x13, 0x47, 0x9c, 0xb7, 0x5d, 0x87, 0x15, 0xa1, 0x96, 0x29, 0x10, 0x7b, 0x9a, 0xc7, 0xf3, 0x91, 0x78, 0x6f, 0x9d, 0x9e, 0xb2, 0xb1, 0x32, 0x75, 0x19, 0x3d, 0xff, 0x35, 0x8a, 0x7e, 0x6d, 0x54, 0xc6, 0x80, 0xc3, 0xbd, 0xd, 0x57, 0xdf, 0xf5, 0x24, 0xa9, 0x3e, 0xa8, 0x43, 0xc9, 0xd7, 0x79, 0xd6, 0xf6, 0x7c, 0x22, 0xb9, 0x3, 0xe0, 0xf, 0xec, 0xde, 0x7a, 0x94, 0xb0, 0xbc, 0xdc, 0xe8, 0x28, 0x50, 0x4e, 0x33, 0xa, 0x4a, 0xa7, 0x97, 0x60, 0x73, 0x1e, 0x0, 0x62, 0x44, 0x1a, 0xb8, 0x38, 0x82, 0x64, 0x9f, 0x26, 0x41, 0xad, 0x45, 0x46, 0x92, 0x27, 0x5e, 0x55, 0x2f, 0x8c, 0xa3, 0xa5, 0x7d, 0x69, 0xd5, 0x95, 0x3b, 0x7, 0x58, 0xb3, 0x40, 0x86, 0xac, 0x1d, 0xf7, 0x30, 0x37, 0x6b, 0xe4, 0x88, 0xd9, 0xe7, 0x89, 0xe1, 0x1b, 0x83, 0x49, 0x4c, 0x3f, 0xf8, 0xfe, 0x8d, 0x53, 0xaa, 0x90, 0xca, 0xd8, 0x85, 0x61, 0x20, 0x71, 0x67, 0xa4, 0x2d, 0x2b, 0x9, 0x5b, 0xcb, 0x9b, 0x25, 0xd0, 0xbe, 0xe5, 0x6c, 0x52, 0x59, 0xa6, 0x74, 0xd2, 0xe6, 0xf4, 0xb4, 0xc0, 0xd1, 0x66, 0xaf, 0xc2, 0x39, 0x4b, 0x63, 0xb6] MIBS = [0x4, 0xf, 0x3, 0x8, 0xd, 0xa, 0xc, 0x0, 0xb, 0x5, 0x7, 0xe, 0x2, 0x6, 0x1, 0x9] Midori_MC_slice = [0x0, 0xe, 0xd, 0x3, 0xb, 0x5, 0x6, 0x8, 0x7, 0x9, 0xa, 0x4, 0xc, 0x2, 0x1, 0xf] Midori_Sb0 = [0xc, 0xa, 0xd, 0x3, 0xe, 0xb, 0xf, 0x7, 0x8, 0x9, 0x1, 0x5, 0x0, 0x2, 0x4, 0x6] Midori_Sb1 = [0x1, 0x0, 0x5, 0x3, 0xe, 0x2, 0xf, 0x7, 0xd, 0xa, 0x9, 0xb, 0xc, 0x8, 0x4, 0x6] Noekeon = [0x7, 0xa, 0x2, 0xc, 0x4, 0x8, 0xf, 0x0, 0x5, 0x9, 0x1, 0xe, 0x3, 0xd, 0xb, 0x6] PRESENT = [0xc, 0x5, 0x6, 0xb, 0x9, 0x0, 0xa, 0xd, 0x3, 0xe, 0xf, 0x8, 0x4, 0x7, 0x1, 0x2] PRESENTMOD = [0x6, 0x7, 0xe, 0x3, 0x1, 0x0, 0x8, 0xd, 0x9, 0x4, 0xf, 0xa, 0xc, 0x5, 0xb, 0x2] PRINCE = [0xb, 0xf, 0x3, 0x2, 0xa, 0xc, 0x9, 0x1, 0x6, 0x7, 0x8, 0x0, 0xe, 0x5, 0xd, 0x4] PRINTcipher = [0x0, 0x1, 0x3, 0x6, 0x7, 0x4, 0x5, 0x2] Panda = [0x0, 0x1, 0x3, 0x2, 0xf, 0xc, 0x9, 0xb, 0xa, 0x6, 0x8, 0x7, 0x5, 0xe, 0xd, 0x4] Piccolo = [0xe, 0x4, 0xb, 0x2, 0x3, 0x8, 0x0, 0x9, 0x1, 0xa, 0x7, 0xf, 0x6, 0xc, 0x5, 0xd] Pride = [0x0, 0x4, 0x8, 0xf, 0x1, 0x5, 0xe, 0x9, 0x2, 0x7, 0xa, 0xc, 0xb, 0xd, 0x6, 0x3] Pyjamask_3 = [0x1, 0x3, 0x6, 0x5, 0x2, 0x4, 0x7, 0x0] Pyjamask_4 = [0x2, 0xd, 0x3, 0x9, 0x7, 0xb, 0xa, 0x6, 0xe, 0x0, 0xf, 0x4, 0x8, 0x5, 0x1, 0xc] Rectangle = [0x6, 0x5, 0xc, 0xa, 0x1, 0xe, 0x7, 0x9, 0xb, 0x0, 0x3, 0xd, 0x8, 0xf, 0x4, 0x2] SC2000_4 = [0x2, 0x5, 0xa, 0xc, 0x7, 0xf, 0x1, 0xb, 0xd, 0x6, 0x0, 0x9, 0x4, 0x8, 0x3, 0xe] SC2000_5 = [0x14, 0x1a, 0x7, 0x1f, 0x13, 0xc, 0xa, 0xf, 0x16, 0x1e, 0xd, 0xe, 0x4, 0x18, 0x9, 0x12, 0x1b, 0xb, 0x1, 0x15, 0x6, 0x10, 0x2, 0x1c, 0x17, 0x5, 0x8, 0x3, 0x0, 0x11, 0x1d, 0x19] SC2000_6 = [0x2f, 0x3b, 0x19, 0x2a, 0xf, 0x17, 0x1c, 0x27, 0x1a, 0x26, 0x24, 0x13, 0x3c, 0x18, 0x1d, 0x38, 0x25, 0x3f, 0x14, 0x3d, 0x37, 0x2, 0x1e, 0x2c, 0x9, 0xa, 0x6, 0x16, 0x35, 0x30, 0x33, 0xb, 0x3e, 0x34, 0x23, 0x12, 0xe, 0x2e, 0x0, 0x36, 0x11, 0x28, 0x1b, 0x4, 0x1f, 0x8, 0x5, 0xc, 0x3, 0x10, 0x29, 0x22, 0x21, 0x7, 0x2d, 0x31, 0x32, 0x3a, 0x1, 0x15, 0x2b, 0x39, 0x20, 0xd] SKINNY_4 = [0xc, 0x6, 0x9, 0x0, 0x1, 0xa, 0x2, 0xb, 0x3, 0x8, 0x5, 0xd, 0x4, 0xe, 0x7, 0xf] SKINNY_8 = [0x65, 0x4c, 0x6a, 0x42, 0x4b, 0x63, 0x43, 0x6b, 0x55, 0x75, 0x5a, 0x7a, 0x53, 0x73, 0x5b, 0x7b, 0x35, 0x8c, 0x3a, 0x81, 0x89, 0x33, 0x80, 0x3b, 0x95, 0x25, 0x98, 0x2a, 0x90, 0x23, 0x99, 0x2b, 0xe5, 0xcc, 0xe8, 0xc1, 0xc9, 0xe0, 0xc0, 0xe9, 0xd5, 0xf5, 0xd8, 0xf8, 0xd0, 0xf0, 0xd9, 0xf9, 0xa5, 0x1c, 0xa8, 0x12, 0x1b, 0xa0, 0x13, 0xa9, 0x5, 0xb5, 0xa, 0xb8, 0x3, 0xb0, 0xb, 0xb9, 0x32, 0x88, 0x3c, 0x85, 0x8d, 0x34, 0x84, 0x3d, 0x91, 0x22, 0x9c, 0x2c, 0x94, 0x24, 0x9d, 0x2d, 0x62, 0x4a, 0x6c, 0x45, 0x4d, 0x64, 0x44, 0x6d, 0x52, 0x72, 0x5c, 0x7c, 0x54, 0x74, 0x5d, 0x7d, 0xa1, 0x1a, 0xac, 0x15, 0x1d, 0xa4, 0x14, 0xad, 0x2, 0xb1, 0xc, 0xbc, 0x4, 0xb4, 0xd, 0xbd, 0xe1, 0xc8, 0xec, 0xc5, 0xcd, 0xe4, 0xc4, 0xed, 0xd1, 0xf1, 0xdc, 0xfc, 0xd4, 0xf4, 0xdd, 0xfd, 0x36, 0x8e, 0x38, 0x82, 0x8b, 0x30, 0x83, 0x39, 0x96, 0x26, 0x9a, 0x28, 0x93, 0x20, 0x9b, 0x29, 0x66, 0x4e, 0x68, 0x41, 0x49, 0x60, 0x40, 0x69, 0x56, 0x76, 0x58, 0x78, 0x50, 0x70, 0x59, 0x79, 0xa6, 0x1e, 0xaa, 0x11, 0x19, 0xa3, 0x10, 0xab, 0x6, 0xb6, 0x8, 0xba, 0x0, 0xb3, 0x9, 0xbb, 0xe6, 0xce, 0xea, 0xc2, 0xcb, 0xe3, 0xc3, 0xeb, 0xd6, 0xf6, 0xda, 0xfa, 0xd3, 0xf3, 0xdb, 0xfb, 0x31, 0x8a, 0x3e, 0x86, 0x8f, 0x37, 0x87, 0x3f, 0x92, 0x21, 0x9e, 0x2e, 0x97, 0x27, 0x9f, 0x2f, 0x61, 0x48, 0x6e, 0x46, 0x4f, 0x67, 0x47, 0x6f, 0x51, 0x71, 0x5e, 0x7e, 0x57, 0x77, 0x5f, 0x7f, 0xa2, 0x18, 0xae, 0x16, 0x1f, 0xa7, 0x17, 0xaf, 0x1, 0xb2, 0xe, 0xbe, 0x7, 0xb7, 0xf, 0xbf, 0xe2, 0xca, 0xee, 0xc6, 0xcf, 0xe7, 0xc7, 0xef, 0xd2, 0xf2, 0xde, 0xfe, 0xd7, 0xf7, 0xdf, 0xff] SMS4 = [0xd6, 0x90, 0xe9, 0xfe, 0xcc, 0xe1, 0x3d, 0xb7, 0x16, 0xb6, 0x14, 0xc2, 0x28, 0xfb, 0x2c, 0x5, 0x2b, 0x67, 0x9a, 0x76, 0x2a, 0xbe, 0x4, 0xc3, 0xaa, 0x44, 0x13, 0x26, 0x49, 0x86, 0x6, 0x99, 0x9c, 0x42, 0x50, 0xf4, 0x91, 0xef, 0x98, 0x7a, 0x33, 0x54, 0xb, 0x43, 0xed, 0xcf, 0xac, 0x62, 0xe4, 0xb3, 0x1c, 0xa9, 0xc9, 0x8, 0xe8, 0x95, 0x80, 0xdf, 0x94, 0xfa, 0x75, 0x8f, 0x3f, 0xa6, 0x47, 0x7, 0xa7, 0xfc, 0xf3, 0x73, 0x17, 0xba, 0x83, 0x59, 0x3c, 0x19, 0xe6, 0x85, 0x4f, 0xa8, 0x68, 0x6b, 0x81, 0xb2, 0x71, 0x64, 0xda, 0x8b, 0xf8, 0xeb, 0xf, 0x4b, 0x70, 0x56, 0x9d, 0x35, 0x1e, 0x24, 0xe, 0x5e, 0x63, 0x58, 0xd1, 0xa2, 0x25, 0x22, 0x7c, 0x3b, 0x1, 0x21, 0x78, 0x87, 0xd4, 0x0, 0x46, 0x57, 0x9f, 0xd3, 0x27, 0x52, 0x4c, 0x36, 0x2, 0xe7, 0xa0, 0xc4, 0xc8, 0x9e, 0xea, 0xbf, 0x8a, 0xd2, 0x40, 0xc7, 0x38, 0xb5, 0xa3, 0xf7, 0xf2, 0xce, 0xf9, 0x61, 0x15, 0xa1, 0xe0, 0xae, 0x5d, 0xa4, 0x9b, 0x34, 0x1a, 0x55, 0xad, 0x93, 0x32, 0x30, 0xf5, 0x8c, 0xb1, 0xe3, 0x1d, 0xf6, 0xe2, 0x2e, 0x82, 0x66, 0xca, 0x60, 0xc0, 0x29, 0x23, 0xab, 0xd, 0x53, 0x4e, 0x6f, 0xd5, 0xdb, 0x37, 0x45, 0xde, 0xfd, 0x8e, 0x2f, 0x3, 0xff, 0x6a, 0x72, 0x6d, 0x6c, 0x5b, 0x51, 0x8d, 0x1b, 0xaf, 0x92, 0xbb, 0xdd, 0xbc, 0x7f, 0x11, 0xd9, 0x5c, 0x41, 0x1f, 0x10, 0x5a, 0xd8, 0xa, 0xc1, 0x31, 0x88, 0xa5, 0xcd, 0x7b, 0xbd, 0x2d, 0x74, 0xd0, 0x12, 0xb8, 0xe5, 0xb4, 0xb0, 0x89, 0x69, 0x97, 0x4a, 0xc, 0x96, 0x77, 0x7e, 0x65, 0xb9, 0xf1, 0x9, 0xc5, 0x6e, 0xc6, 0x84, 0x18, 0xf0, 0x7d, 0xec, 0x3a, 0xdc, 0x4d, 0x20, 0x79, 0xee, 0x5f, 0x3e, 0xd7, 0xcb, 0x39, 0x48] Scream = [0x20, 0x8d, 0xb2, 0xda, 0x33, 0x35, 0xa6, 0xff, 0x7a, 0x52, 0x6a, 0xc6, 0xa4, 0xa8, 0x51, 0x23, 0xa2, 0x96, 0x30, 0xab, 0xc8, 0x17, 0x14, 0x9e, 0xe8, 0xf3, 0xf8, 0xdd, 0x85, 0xe2, 0x4b, 0xd8, 0x6c, 0x1, 0xe, 0x3d, 0xb6, 0x39, 0x4a, 0x83, 0x6f, 0xaa, 0x86, 0x6e, 0x68, 0x40, 0x98, 0x5f, 0x37, 0x13, 0x5, 0x87, 0x4, 0x82, 0x31, 0x89, 0x24, 0x38, 0x9d, 0x54, 0x22, 0x7b, 0x63, 0xbd, 0x75, 0x2c, 0x47, 0xe9, 0xc2, 0x60, 0x43, 0xac, 0x57, 0xa1, 0x1f, 0x27, 0xe7, 0xad, 0x5c, 0xd2, 0xf, 0x77, 0xfd, 0x8, 0x79, 0x3a, 0x49, 0x5d, 0xed, 0x90, 0x65, 0x7c, 0x56, 0x4f, 0x2e, 0x69, 0xcd, 0x44, 0x3f, 0x62, 0x5b, 0x88, 0x6b, 0xc4, 0x5e, 0x2d, 0x67, 0xb, 0x9f, 0x21, 0x29, 0x2a, 0xd6, 0x7e, 0x74, 0xe0, 0x41, 0x73, 0x50, 0x76, 0x55, 0x97, 0x3c, 0x9, 0x7d, 0x5a, 0x92, 0x70, 0x84, 0xb9, 0x26, 0x34, 0x1d, 0x81, 0x32, 0x2b, 0x36, 0x64, 0xae, 0xc0, 0x0, 0xee, 0x8f, 0xa7, 0xbe, 0x58, 0xdc, 0x7f, 0xec, 0x9b, 0x78, 0x10, 0xcc, 0x2f, 0x94, 0xf1, 0x3b, 0x9c, 0x6d, 0x16, 0x48, 0xb5, 0xca, 0x11, 0xfa, 0xd, 0x8e, 0x7, 0xb1, 0xc, 0x12, 0x28, 0x4c, 0x46, 0xf4, 0x8b, 0xa9, 0xcf, 0xbb, 0x3, 0xa0, 0xfc, 0xef, 0x25, 0x80, 0xf6, 0xb3, 0xba, 0x3e, 0xf7, 0xd5, 0x91, 0xc3, 0x8a, 0xc1, 0x45, 0xde, 0x66, 0xf5, 0xa, 0xc9, 0x15, 0xd9, 0xa3, 0x61, 0x99, 0xb0, 0xe4, 0xd1, 0xfb, 0xd3, 0x4e, 0xbf, 0xd4, 0xd7, 0x71, 0xcb, 0x1e, 0xdb, 0x2, 0x1a, 0x93, 0xea, 0xc5, 0xeb, 0x72, 0xf9, 0x1c, 0xe5, 0xce, 0x4d, 0xf2, 0x42, 0x19, 0xe1, 0xdf, 0x59, 0x95, 0xb7, 0x8c, 0x9a, 0xf0, 0x18, 0xe6, 0xc7, 0xaf, 0xbc, 0xb8, 0xe3, 0x1b, 0xd0, 0xa5, 0x53, 0xb4, 0x6, 0xfe] Skipjack = [0xa3, 0xd7, 0x9, 0x83, 0xf8, 0x48, 0xf6, 0xf4, 0xb3, 0x21, 0x15, 0x78, 0x99, 0xb1, 0xaf, 0xf9, 0xe7, 0x2d, 0x4d, 0x8a, 0xce, 0x4c, 0xca, 0x2e, 0x52, 0x95, 0xd9, 0x1e, 0x4e, 0x38, 0x44, 0x28, 0xa, 0xdf, 0x2, 0xa0, 0x17, 0xf1, 0x60, 0x68, 0x12, 0xb7, 0x7a, 0xc3, 0xe9, 0xfa, 0x3d, 0x53, 0x96, 0x84, 0x6b, 0xba, 0xf2, 0x63, 0x9a, 0x19, 0x7c, 0xae, 0xe5, 0xf5, 0xf7, 0x16, 0x6a, 0xa2, 0x39, 0xb6, 0x7b, 0xf, 0xc1, 0x93, 0x81, 0x1b, 0xee, 0xb4, 0x1a, 0xea, 0xd0, 0x91, 0x2f, 0xb8, 0x55, 0xb9, 0xda, 0x85, 0x3f, 0x41, 0xbf, 0xe0, 0x5a, 0x58, 0x80, 0x5f, 0x66, 0xb, 0xd8, 0x90, 0x35, 0xd5, 0xc0, 0xa7, 0x33, 0x6, 0x65, 0x69, 0x45, 0x0, 0x94, 0x56, 0x6d, 0x98, 0x9b, 0x76, 0x97, 0xfc, 0xb2, 0xc2, 0xb0, 0xfe, 0xdb, 0x20, 0xe1, 0xeb, 0xd6, 0xe4, 0xdd, 0x47, 0x4a, 0x1d, 0x42, 0xed, 0x9e, 0x6e, 0x49, 0x3c, 0xcd, 0x43, 0x27, 0xd2, 0x7, 0xd4, 0xde, 0xc7, 0x67, 0x18, 0x89, 0xcb, 0x30, 0x1f, 0x8d, 0xc6, 0x8f, 0xaa, 0xc8, 0x74, 0xdc, 0xc9, 0x5d, 0x5c, 0x31, 0xa4, 0x70, 0x88, 0x61, 0x2c, 0x9f, 0xd, 0x2b, 0x87, 0x50, 0x82, 0x54, 0x64, 0x26, 0x7d, 0x3, 0x40, 0x34, 0x4b, 0x1c, 0x73, 0xd1, 0xc4, 0xfd, 0x3b, 0xcc, 0xfb, 0x7f, 0xab, 0xe6, 0x3e, 0x5b, 0xa5, 0xad, 0x4, 0x23, 0x9c, 0x14, 0x51, 0x22, 0xf0, 0x29, 0x79, 0x71, 0x7e, 0xff, 0x8c, 0xe, 0xe2, 0xc, 0xef, 0xbc, 0x72, 0x75, 0x6f, 0x37, 0xa1, 0xec, 0xd3, 0x8e, 0x62, 0x8b, 0x86, 0x10, 0xe8, 0x8, 0x77, 0x11, 0xbe, 0x92, 0x4f, 0x24, 0xc5, 0x32, 0x36, 0x9d, 0xcf, 0xf3, 0xa6, 0xbb, 0xac, 0x5e, 0x6c, 0xa9, 0x13, 0x57, 0x25, 0xb5, 0xe3, 0xbd, 0xa8, 0x3a, 0x1, 0x5, 0x59, 0x2a, 0x46] TWINE = [0xc, 0x0, 0xf, 0xa, 0x2, 0xb, 0x9, 0x5, 0x8, 0x3, 0xd, 0x7, 0x1, 0xe, 0x6, 0x4] WAGE = [0x2e, 0x1c, 0x6d, 0x2b, 0x35, 0x7, 0x7f, 0x3b, 0x28, 0x8, 0xb, 0x5f, 0x31, 0x11, 0x1b, 0x4d, 0x6e, 0x54, 0xd, 0x9, 0x1f, 0x45, 0x75, 0x53, 0x6a, 0x5d, 0x61, 0x0, 0x4, 0x78, 0x6, 0x1e, 0x37, 0x6f, 0x2f, 0x49, 0x64, 0x34, 0x7d, 0x19, 0x39, 0x33, 0x43, 0x57, 0x60, 0x62, 0x13, 0x5, 0x77, 0x47, 0x4f, 0x4b, 0x1d, 0x2d, 0x24, 0x48, 0x74, 0x58, 0x25, 0x5e, 0x5a, 0x76, 0x41, 0x42, 0x27, 0x3e, 0x6c, 0x1, 0x2c, 0x3c, 0x4e, 0x1a, 0x21, 0x2a, 0xa, 0x55, 0x3a, 0x38, 0x18, 0x7e, 0xc, 0x63, 0x67, 0x56, 0x50, 0x7c, 0x32, 0x7a, 0x68, 0x2, 0x6b, 0x17, 0x7b, 0x59, 0x71, 0xf, 0x30, 0x10, 0x22, 0x3d, 0x40, 0x69, 0x52, 0x14, 0x36, 0x44, 0x46, 0x3, 0x16, 0x65, 0x66, 0x72, 0x12, 0xe, 0x29, 0x4a, 0x4c, 0x70, 0x15, 0x26, 0x79, 0x51, 0x23, 0x3f, 0x73, 0x5b, 0x20, 0x5c] Whirlpool = [0x18, 0x23, 0xc6, 0xe8, 0x87, 0xb8, 0x1, 0x4f, 0x36, 0xa6, 0xd2, 0xf5, 0x79, 0x6f, 0x91, 0x52, 0x60, 0xbc, 0x9b, 0x8e, 0xa3, 0xc, 0x7b, 0x35, 0x1d, 0xe0, 0xd7, 0xc2, 0x2e, 0x4b, 0xfe, 0x57, 0x15, 0x77, 0x37, 0xe5, 0x9f, 0xf0, 0x4a, 0xda, 0x58, 0xc9, 0x29, 0xa, 0xb1, 0xa0, 0x6b, 0x85, 0xbd, 0x5d, 0x10, 0xf4, 0xcb, 0x3e, 0x5, 0x67, 0xe4, 0x27, 0x41, 0x8b, 0xa7, 0x7d, 0x95, 0xd8, 0xfb, 0xee, 0x7c, 0x66, 0xdd, 0x17, 0x47, 0x9e, 0xca, 0x2d, 0xbf, 0x7, 0xad, 0x5a, 0x83, 0x33, 0x63, 0x2, 0xaa, 0x71, 0xc8, 0x19, 0x49, 0xd9, 0xf2, 0xe3, 0x5b, 0x88, 0x9a, 0x26, 0x32, 0xb0, 0xe9, 0xf, 0xd5, 0x80, 0xbe, 0xcd, 0x34, 0x48, 0xff, 0x7a, 0x90, 0x5f, 0x20, 0x68, 0x1a, 0xae, 0xb4, 0x54, 0x93, 0x22, 0x64, 0xf1, 0x73, 0x12, 0x40, 0x8, 0xc3, 0xec, 0xdb, 0xa1, 0x8d, 0x3d, 0x97, 0x0, 0xcf, 0x2b, 0x76, 0x82, 0xd6, 0x1b, 0xb5, 0xaf, 0x6a, 0x50, 0x45, 0xf3, 0x30, 0xef, 0x3f, 0x55, 0xa2, 0xea, 0x65, 0xba, 0x2f, 0xc0, 0xde, 0x1c, 0xfd, 0x4d, 0x92, 0x75, 0x6, 0x8a, 0xb2, 0xe6, 0xe, 0x1f, 0x62, 0xd4, 0xa8, 0x96, 0xf9, 0xc5, 0x25, 0x59, 0x84, 0x72, 0x39, 0x4c, 0x5e, 0x78, 0x38, 0x8c, 0xd1, 0xa5, 0xe2, 0x61, 0xb3, 0x21, 0x9c, 0x1e, 0x43, 0xc7, 0xfc, 0x4, 0x51, 0x99, 0x6d, 0xd, 0xfa, 0xdf, 0x7e, 0x24, 0x3b, 0xab, 0xce, 0x11, 0x8f, 0x4e, 0xb7, 0xeb, 0x3c, 0x81, 0x94, 0xf7, 0xb9, 0x13, 0x2c, 0xd3, 0xe7, 0x6e, 0xc4, 0x3, 0x56, 0x44, 0x7f, 0xa9, 0x2a, 0xbb, 0xc1, 0x53, 0xdc, 0xb, 0x9d, 0x6c, 0x31, 0x74, 0xf6, 0x46, 0xac, 0x89, 0x14, 0xe1, 0x16, 0x3a, 0x69, 0x9, 0x70, 0xb6, 0xd0, 0xed, 0xcc, 0x42, 0x98, 0xa4, 0x28, 0x5c, 0xf8, 0x86] ZUC_S0 = [0x3e, 0x72, 0x5b, 0x47, 0xca, 0xe0, 0x0, 0x33, 0x4, 0xd1, 0x54, 0x98, 0x9, 0xb9, 0x6d, 0xcb, 0x7b, 0x1b, 0xf9, 0x32, 0xaf, 0x9d, 0x6a, 0xa5, 0xb8, 0x2d, 0xfc, 0x1d, 0x8, 0x53, 0x3, 0x90, 0x4d, 0x4e, 0x84, 0x99, 0xe4, 0xce, 0xd9, 0x91, 0xdd, 0xb6, 0x85, 0x48, 0x8b, 0x29, 0x6e, 0xac, 0xcd, 0xc1, 0xf8, 0x1e, 0x73, 0x43, 0x69, 0xc6, 0xb5, 0xbd, 0xfd, 0x39, 0x63, 0x20, 0xd4, 0x38, 0x76, 0x7d, 0xb2, 0xa7, 0xcf, 0xed, 0x57, 0xc5, 0xf3, 0x2c, 0xbb, 0x14, 0x21, 0x6, 0x55, 0x9b, 0xe3, 0xef, 0x5e, 0x31, 0x4f, 0x7f, 0x5a, 0xa4, 0xd, 0x82, 0x51, 0x49, 0x5f, 0xba, 0x58, 0x1c, 0x4a, 0x16, 0xd5, 0x17, 0xa8, 0x92, 0x24, 0x1f, 0x8c, 0xff, 0xd8, 0xae, 0x2e, 0x1, 0xd3, 0xad, 0x3b, 0x4b, 0xda, 0x46, 0xeb, 0xc9, 0xde, 0x9a, 0x8f, 0x87, 0xd7, 0x3a, 0x80, 0x6f, 0x2f, 0xc8, 0xb1, 0xb4, 0x37, 0xf7, 0xa, 0x22, 0x13, 0x28, 0x7c, 0xcc, 0x3c, 0x89, 0xc7, 0xc3, 0x96, 0x56, 0x7, 0xbf, 0x7e, 0xf0, 0xb, 0x2b, 0x97, 0x52, 0x35, 0x41, 0x79, 0x61, 0xa6, 0x4c, 0x10, 0xfe, 0xbc, 0x26, 0x95, 0x88, 0x8a, 0xb0, 0xa3, 0xfb, 0xc0, 0x18, 0x94, 0xf2, 0xe1, 0xe5, 0xe9, 0x5d, 0xd0, 0xdc, 0x11, 0x66, 0x64, 0x5c, 0xec, 0x59, 0x42, 0x75, 0x12, 0xf5, 0x74, 0x9c, 0xaa, 0x23, 0xe, 0x86, 0xab, 0xbe, 0x2a, 0x2, 0xe7, 0x67, 0xe6, 0x44, 0xa2, 0x6c, 0xc2, 0x93, 0x9f, 0xf1, 0xf6, 0xfa, 0x36, 0xd2, 0x50, 0x68, 0x9e, 0x62, 0x71, 0x15, 0x3d, 0xd6, 0x40, 0xc4, 0xe2, 0xf, 0x8e, 0x83, 0x77, 0x6b, 0x25, 0x5, 0x3f, 0xc, 0x30, 0xea, 0x70, 0xb7, 0xa1, 0xe8, 0xa9, 0x65, 0x8d, 0x27, 0x1a, 0xdb, 0x81, 0xb3, 0xa0, 0xf4, 0x45, 0x7a, 0x19, 0xdf, 0xee, 0x78, 0x34, 0x60] ZUC_S1 = [0x55, 0xc2, 0x63, 0x71, 0x3b, 0xc8, 0x47, 0x86, 0x9f, 0x3c, 0xda, 0x5b, 0x29, 0xaa, 0xfd, 0x77, 0x8c, 0xc5, 0x94, 0xc, 0xa6, 0x1a, 0x13, 0x0, 0xe3, 0xa8, 0x16, 0x72, 0x40, 0xf9, 0xf8, 0x42, 0x44, 0x26, 0x68, 0x96, 0x81, 0xd9, 0x45, 0x3e, 0x10, 0x76, 0xc6, 0xa7, 0x8b, 0x39, 0x43, 0xe1, 0x3a, 0xb5, 0x56, 0x2a, 0xc0, 0x6d, 0xb3, 0x5, 0x22, 0x66, 0xbf, 0xdc, 0xb, 0xfa, 0x62, 0x48, 0xdd, 0x20, 0x11, 0x6, 0x36, 0xc9, 0xc1, 0xcf, 0xf6, 0x27, 0x52, 0xbb, 0x69, 0xf5, 0xd4, 0x87, 0x7f, 0x84, 0x4c, 0xd2, 0x9c, 0x57, 0xa4, 0xbc, 0x4f, 0x9a, 0xdf, 0xfe, 0xd6, 0x8d, 0x7a, 0xeb, 0x2b, 0x53, 0xd8, 0x5c, 0xa1, 0x14, 0x17, 0xfb, 0x23, 0xd5, 0x7d, 0x30, 0x67, 0x73, 0x8, 0x9, 0xee, 0xb7, 0x70, 0x3f, 0x61, 0xb2, 0x19, 0x8e, 0x4e, 0xe5, 0x4b, 0x93, 0x8f, 0x5d, 0xdb, 0xa9, 0xad, 0xf1, 0xae, 0x2e, 0xcb, 0xd, 0xfc, 0xf4, 0x2d, 0x46, 0x6e, 0x1d, 0x97, 0xe8, 0xd1, 0xe9, 0x4d, 0x37, 0xa5, 0x75, 0x5e, 0x83, 0x9e, 0xab, 0x82, 0x9d, 0xb9, 0x1c, 0xe0, 0xcd, 0x49, 0x89, 0x1, 0xb6, 0xbd, 0x58, 0x24, 0xa2, 0x5f, 0x38, 0x78, 0x99, 0x15, 0x90, 0x50, 0xb8, 0x95, 0xe4, 0xd0, 0x91, 0xc7, 0xce, 0xed, 0xf, 0xb4, 0x6f, 0xa0, 0xcc, 0xf0, 0x2, 0x4a, 0x79, 0xc3, 0xde, 0xa3, 0xef, 0xea, 0x51, 0xe6, 0x6b, 0x18, 0xec, 0x1b, 0x2c, 0x80, 0xf7, 0x74, 0xe7, 0xff, 0x21, 0x5a, 0x6a, 0x54, 0x1e, 0x41, 0x31, 0x92, 0x35, 0xc4, 0x33, 0x7, 0xa, 0xba, 0x7e, 0xe, 0x34, 0x88, 0xb1, 0x98, 0x7c, 0xf3, 0x3d, 0x60, 0x6c, 0x7b, 0xca, 0xd3, 0x1f, 0x32, 0x65, 0x4, 0x28, 0x64, 0xbe, 0x85, 0x9b, 0x2f, 0x59, 0x8a, 0xd7, 0xb0, 0x25, 0xac, 0xaf, 0x12, 0x3, 0xe2, 0xf2] Zorro = [0xb2, 0xe5, 0x5e, 0xfd, 0x5f, 0xc5, 0x50, 0xbc, 0xdc, 0x4a, 0xfa, 0x88, 0x28, 0xd8, 0xe0, 0xd1, 0xb5, 0xd0, 0x3c, 0xb0, 0x99, 0xc1, 0xe8, 0xe2, 0x13, 0x59, 0xa7, 0xfb, 0x71, 0x34, 0x31, 0xf1, 0x9f, 0x3a, 0xce, 0x6e, 0xa8, 0xa4, 0xb4, 0x7e, 0x1f, 0xb7, 0x51, 0x1d, 0x38, 0x9d, 0x46, 0x69, 0x53, 0xe, 0x42, 0x1b, 0xf, 0x11, 0x68, 0xca, 0xaa, 0x6, 0xf0, 0xbd, 0x26, 0x6f, 0x0, 0xd9, 0x62, 0xf3, 0x15, 0x60, 0xf2, 0x3d, 0x7f, 0x35, 0x63, 0x2d, 0x67, 0x93, 0x1c, 0x91, 0xf9, 0x9c, 0x66, 0x2a, 0x81, 0x20, 0x95, 0xf8, 0xe3, 0x4d, 0x5a, 0x6d, 0x24, 0x7b, 0xb9, 0xef, 0xdf, 0xda, 0x58, 0xa9, 0x92, 0x76, 0x2e, 0xb3, 0x39, 0xc, 0x29, 0xcd, 0x43, 0xfe, 0xab, 0xf5, 0x94, 0x23, 0x16, 0x80, 0xc0, 0x12, 0x4c, 0xe9, 0x48, 0x19, 0x8, 0xae, 0x41, 0x70, 0x84, 0x14, 0xa2, 0xd5, 0xb8, 0x33, 0x65, 0xba, 0xed, 0x17, 0xcf, 0x96, 0x1e, 0x3b, 0xb, 0xc2, 0xc8, 0xb6, 0xbb, 0x8b, 0xa1, 0x54, 0x75, 0xc4, 0x10, 0x5d, 0xd6, 0x25, 0x97, 0xe6, 0xfc, 0x49, 0xf7, 0x52, 0x18, 0x86, 0x8d, 0xcb, 0xe1, 0xbf, 0xd7, 0x8e, 0x37, 0xbe, 0x82, 0xcc, 0x64, 0x90, 0x7c, 0x32, 0x8f, 0x4b, 0xac, 0x1a, 0xea, 0xd3, 0xf4, 0x6b, 0x2c, 0xff, 0x55, 0xa, 0x45, 0x9, 0x89, 0x1, 0x30, 0x2b, 0xd2, 0x77, 0x87, 0x72, 0xeb, 0x36, 0xde, 0x9e, 0x8c, 0xdb, 0x6c, 0x9b, 0x5, 0x2, 0x4e, 0xaf, 0x4, 0xad, 0x74, 0xc3, 0xee, 0xa6, 0xf6, 0xc7, 0x7d, 0x40, 0xd4, 0xd, 0x3e, 0x5b, 0xec, 0x78, 0xa0, 0xb1, 0x44, 0x73, 0x47, 0x5c, 0x98, 0x21, 0x22, 0x61, 0x3f, 0xc6, 0x7a, 0x56, 0xdd, 0xe7, 0x85, 0xc9, 0x8a, 0x57, 0x27, 0x7, 0x9a, 0x3, 0xa3, 0x83, 0xe4, 0x6a, 0xa5, 0x2f, 0x79, 0x4f] iScream = [0x0, 0x85, 0x65, 0xd2, 0x5b, 0xff, 0x7a, 0xce, 0x4d, 0xe2, 0x2c, 0x36, 0x92, 0x15, 0xbd, 0xad, 0x57, 0xf3, 0x37, 0x2d, 0x88, 0xd, 0xac, 0xbc, 0x18, 0x9f, 0x7e, 0xca, 0x41, 0xee, 0x61, 0xd6, 0x59, 0xec, 0x78, 0xd4, 0x47, 0xf9, 0x26, 0xa3, 0x90, 0x8b, 0xbf, 0x30, 0xa, 0x13, 0x6f, 0xc0, 0x2b, 0xae, 0x91, 0x8a, 0xd8, 0x74, 0xb, 0x12, 0xcc, 0x63, 0xfd, 0x43, 0xb2, 0x3d, 0xe8, 0x5d, 0xb6, 0x1c, 0x83, 0x3b, 0xc8, 0x45, 0x9d, 0x24, 0x52, 0xdd, 0xe4, 0xf4, 0xab, 0x8, 0x77, 0x6d, 0xf5, 0xe5, 0x48, 0xc5, 0x6c, 0x76, 0xba, 0x10, 0x99, 0x20, 0xa7, 0x4, 0x87, 0x3f, 0xd0, 0x5f, 0xa5, 0x1e, 0x9b, 0x39, 0xb0, 0x2, 0xea, 0x67, 0xc6, 0xdf, 0x71, 0xf6, 0x54, 0x4f, 0x8d, 0x2e, 0xe7, 0x6a, 0xc7, 0xde, 0x35, 0x97, 0x55, 0x4e, 0x22, 0x81, 0x6, 0xb4, 0x7c, 0xfb, 0x1a, 0xa1, 0xd5, 0x79, 0xfc, 0x42, 0x84, 0x1, 0xe9, 0x5c, 0x14, 0x93, 0x33, 0x29, 0xc1, 0x6e, 0xa8, 0xb8, 0x28, 0x32, 0xc, 0x89, 0xb9, 0xa9, 0xd9, 0x75, 0xed, 0x58, 0xcd, 0x62, 0xf8, 0x46, 0x9e, 0x19, 0xcb, 0x7f, 0xa2, 0x27, 0xd7, 0x60, 0xfe, 0x5a, 0x8e, 0x95, 0xe3, 0x4c, 0x16, 0xf, 0x31, 0xbe, 0x64, 0xd3, 0x3c, 0xb3, 0x7b, 0xcf, 0x40, 0xef, 0x8f, 0x94, 0x56, 0xf2, 0x17, 0xe, 0xaf, 0x2a, 0x2f, 0x8c, 0xf1, 0xe1, 0xdc, 0x53, 0x68, 0x72, 0x44, 0xc9, 0x1b, 0xa0, 0x38, 0x9a, 0x7, 0xb5, 0x5e, 0xd1, 0x3, 0xb1, 0x23, 0x80, 0x1f, 0xa4, 0x34, 0x96, 0xe0, 0xf0, 0xc4, 0x49, 0x73, 0x69, 0xda, 0xc3, 0x9, 0xaa, 0x4a, 0x51, 0xf7, 0x70, 0x3e, 0x86, 0x66, 0xeb, 0x21, 0x98, 0x1d, 0xb7, 0xdb, 0xc2, 0xbb, 0x11, 0x4b, 0x50, 0x6b, 0xe6, 0x9c, 0x25, 0xfa, 0x7d, 0x82, 0x3a, 0xa6, 0x5] keccak_chi_5 = [0x0, 0x5, 0xa, 0xb, 0x14, 0x11, 0x16, 0x17, 0x9, 0xc, 0x3, 0x2, 0xd, 0x8, 0xf, 0xe, 0x12, 0x15, 0x18, 0x1b, 0x6, 0x1, 0x4, 0x7, 0x1a, 0x1d, 0x10, 0x13, 0x1e, 0x19, 0x1c, 0x1f] misty_s7 = [0x36, 0x32, 0x3e, 0x38, 0x16, 0x22, 0x5e, 0x60, 0x26, 0x6, 0x3f, 0x5d, 0x2, 0x12, 0x7b, 0x21, 0x37, 0x71, 0x27, 0x72, 0x15, 0x43, 0x41, 0xc, 0x2f, 0x49, 0x2e, 0x1b, 0x19, 0x6f, 0x7c, 0x51, 0x35, 0x9, 0x79, 0x4f, 0x34, 0x3c, 0x3a, 0x30, 0x65, 0x7f, 0x28, 0x78, 0x68, 0x46, 0x47, 0x2b, 0x14, 0x7a, 0x48, 0x3d, 0x17, 0x6d, 0xd, 0x64, 0x4d, 0x1, 0x10, 0x7, 0x52, 0xa, 0x69, 0x62, 0x75, 0x74, 0x4c, 0xb, 0x59, 0x6a, 0x0, 0x7d, 0x76, 0x63, 0x56, 0x45, 0x1e, 0x39, 0x7e, 0x57, 0x70, 0x33, 0x11, 0x5, 0x5f, 0xe, 0x5a, 0x54, 0x5b, 0x8, 0x23, 0x67, 0x20, 0x61, 0x1c, 0x42, 0x66, 0x1f, 0x1a, 0x2d, 0x4b, 0x4, 0x55, 0x5c, 0x25, 0x4a, 0x50, 0x31, 0x44, 0x1d, 0x73, 0x2c, 0x40, 0x6b, 0x6c, 0x18, 0x6e, 0x53, 0x24, 0x4e, 0x2a, 0x13, 0xf, 0x29, 0x58, 0x77, 0x3b, 0x3] misty_s9 = [0xa7, 0xef, 0xa1, 0x17b, 0x187, 0x14e, 0x9, 0x152, 0x26, 0xe2, 0x30, 0x166, 0x1c4, 0x181, 0x5a, 0x18d, 0xb7, 0xfd, 0x93, 0x14b, 0x19f, 0x154, 0x33, 0x16a, 0x132, 0x1f4, 0x106, 0x52, 0xd8, 0x9f, 0x164, 0xb1, 0xaf, 0xf1, 0x1e9, 0x25, 0xce, 0x11, 0x0, 0x14d, 0x2c, 0xfe, 0x17a, 0x3a, 0x8f, 0xdc, 0x51, 0x190, 0x5f, 0x3, 0x13b, 0xf5, 0x36, 0xeb, 0xda, 0x195, 0x1d8, 0x108, 0xac, 0x1ee, 0x173, 0x122, 0x18f, 0x4c, 0xa5, 0xc5, 0x18b, 0x79, 0x101, 0x1e0, 0x1a7, 0xd4, 0xf0, 0x1c, 0x1ce, 0xb0, 0x196, 0x1fb, 0x120, 0xdf, 0x1f5, 0x197, 0xf9, 0x109, 0x59, 0xba, 0xdd, 0x1ac, 0xa4, 0x4a, 0x1b8, 0xc4, 0x1ca, 0x1a5, 0x15e, 0xa3, 0xe8, 0x9e, 0x86, 0x162, 0xd, 0xfa, 0x1eb, 0x8e, 0xbf, 0x45, 0xc1, 0x1a9, 0x98, 0xe3, 0x16e, 0x87, 0x158, 0x12c, 0x114, 0xf2, 0x1b5, 0x140, 0x71, 0x116, 0xb, 0xf3, 0x57, 0x13d, 0x24, 0x5d, 0x1f0, 0x1b, 0x1e7, 0x1be, 0x1e2, 0x29, 0x44, 0x9c, 0x1c9, 0x83, 0x146, 0x193, 0x153, 0x14, 0x27, 0x73, 0x1ba, 0x7c, 0x1db, 0x180, 0x1fc, 0x35, 0x70, 0xaa, 0x1df, 0x97, 0x7e, 0xa9, 0x49, 0x10c, 0x117, 0x141, 0xa8, 0x16c, 0x16b, 0x124, 0x2e, 0x1f3, 0x189, 0x147, 0x144, 0x18, 0x1c8, 0x10b, 0x9d, 0x1cc, 0x1e8, 0x1aa, 0x135, 0xe5, 0x1b7, 0x1fa, 0xd0, 0x10f, 0x15d, 0x191, 0x1b2, 0xec, 0x10, 0xd1, 0x167, 0x34, 0x38, 0x78, 0xc7, 0x115, 0x1d1, 0x1a0, 0xfc, 0x11f, 0xf6, 0x6, 0x53, 0x131, 0x1a4, 0x159, 0x99, 0x1f6, 0x41, 0x3d, 0xf4, 0x11a, 0xad, 0xde, 0x1a2, 0x43, 0x182, 0x170, 0x105, 0x65, 0x1dc, 0x123, 0xc3, 0x1ae, 0x31, 0x4f, 0xa6, 0x14a, 0x118, 0x17f, 0x175, 0x80, 0x17e, 0x198, 0x9b, 0x1ef, 0x16f, 0x184, 0x112, 0x6b, 0x1cb, 0x1a1, 0x3e, 0x1c6, 0x84, 0xe1, 0xcb, 0x13c, 0xea, 0xe, 0x12d, 0x5b, 0x1f7, 0x11e, 0x1a8, 0xd3, 0x15b, 0x133, 0x8c, 0x176, 0x23, 0x67, 0x7d, 0x1ab, 0x13, 0xd6, 0x1c5, 0x92, 0x1f2, 0x13a, 0x1bc, 0xe6, 0x100, 0x149, 0xc6, 0x11d, 0x32, 0x74, 0x4e, 0x19a, 0xa, 0xcd, 0x1fe, 0xab, 0xe7, 0x2d, 0x8b, 0x1d3, 0x1d, 0x56, 0x1f9, 0x20, 0x48, 0x1a, 0x156, 0x96, 0x139, 0x1ea, 0x1af, 0xee, 0x19b, 0x145, 0x95, 0x1d9, 0x28, 0x77, 0xae, 0x163, 0xb9, 0xe9, 0x185, 0x47, 0x1c0, 0x111, 0x174, 0x37, 0x6e, 0xb2, 0x142, 0xc, 0x1d5, 0x188, 0x171, 0xbe, 0x1, 0x6d, 0x177, 0x89, 0xb5, 0x58, 0x4b, 0x134, 0x104, 0x1e4, 0x62, 0x110, 0x172, 0x113, 0x19c, 0x6f, 0x150, 0x13e, 0x4, 0x1f8, 0x1ec, 0x103, 0x130, 0x4d, 0x151, 0x1b3, 0x15, 0x165, 0x12f, 0x14c, 0x1e3, 0x12, 0x2f, 0x55, 0x19, 0x1f1, 0x1da, 0x121, 0x64, 0x10d, 0x128, 0x1de, 0x10e, 0x6a, 0x1f, 0x68, 0x1b1, 0x54, 0x19e, 0x1e6, 0x18a, 0x60, 0x63, 0x9a, 0x1ff, 0x94, 0x19d, 0x169, 0x199, 0xff, 0xa2, 0xd7, 0x12e, 0xc9, 0x10a, 0x15f, 0x157, 0x90, 0x1b9, 0x16d, 0x6c, 0x12a, 0xfb, 0x22, 0xb6, 0x1fd, 0x8a, 0xd2, 0x14f, 0x85, 0x137, 0x160, 0x148, 0x8d, 0x18c, 0x15a, 0x7b, 0x13f, 0x1c2, 0x119, 0x1ad, 0xe4, 0x1bb, 0x1e1, 0x5c, 0x194, 0x1e5, 0x1a6, 0xf8, 0x129, 0x17, 0xd5, 0x82, 0x1d2, 0x16, 0xd9, 0x11b, 0x46, 0x126, 0x168, 0x1a3, 0x7f, 0x138, 0x179, 0x7, 0x1d4, 0xc2, 0x2, 0x75, 0x127, 0x1cf, 0x102, 0xe0, 0x1bf, 0xf7, 0xbb, 0x50, 0x18e, 0x11c, 0x161, 0x69, 0x186, 0x12b, 0x1d7, 0x1d6, 0xb8, 0x39, 0xc8, 0x15c, 0x3f, 0xcc, 0xbc, 0x21, 0x1c3, 0x61, 0x1e, 0x136, 0xdb, 0x5e, 0xa0, 0x81, 0x1ed, 0x40, 0xb3, 0x107, 0x66, 0xbd, 0xcf, 0x72, 0x192, 0x1b6, 0x1dd, 0x183, 0x7a, 0xc0, 0x2a, 0x17d, 0x5, 0x91, 0x76, 0xb4, 0x1c1, 0x125, 0x143, 0x88, 0x17c, 0x2b, 0x42, 0x3c, 0x1c7, 0x155, 0x1bd, 0xca, 0x1b0, 0x8, 0xed, 0xf, 0x178, 0x1b4, 0x1d0, 0x3b, 0x1cd] if 0: # code for generating Keccak S-box keccak_chi_5 = [] from binteger import Bin for x in range(32): x = Bin(x, 5).tuple y = [x[i] ^ (1^x[(i+1)%5])&x[(i+2)%5] for i in range(5)] keccak_chi_5.append(Bin(y).int) del x, y def make_sbox(sbox): n = len(sbox).bit_length() - 1 assert len(sbox) == 2**n assert 0 == min(sbox) < max(sbox) == 2**n-1 return Sbox(sbox, n, n) # Dictionary of all available SBoxes sboxes = {} for k, v in list(globals().items()): if isinstance(v, list): sboxes[k] = make_sbox(tuple(v)) if __name__ == '__main__': print(f"{k} = [" + ", ".join("0x%x" % y for y in v) + "]")

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4568b53914dbe235e70efbe4e24e24cf107ae915

216

py

Python

code.py

harshkumar13/TestRep

722d0bd91e8c40c5b1bad579891a5f88b7e37e7f

[ "MIT" ]

null

code.py

harshkumar13/TestRep

722d0bd91e8c40c5b1bad579891a5f88b7e37e7f

[ "MIT" ]

null

code.py

harshkumar13/TestRep

722d0bd91e8c40c5b1bad579891a5f88b7e37e7f

[ "MIT" ]

null

def do_something(): # complete print("I am an enchanting willow tree that is blowing in the wind. Viva la vida.")# this will make it much easier in future problems to see that something is actually happening

54

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5

45e556b790052fba3ae5fd469d56541c1ec6f415

436

py

Python

src/algoritmia/datastructures/maps/__init__.py

DavidLlorens/algoritmia

40ca0a89ea6de9b633fa5f697f0a28cae70816a2

[ "MIT" ]

6

2018-09-15T15:09:10.000Z

2022-02-27T01:23:11.000Z

src/algoritmia/datastructures/maps/__init__.py

JeromeIllgner/algoritmia

406afe7206f2411557859bf03480c16db7dcce0d

[ "MIT" ]

null

src/algoritmia/datastructures/maps/__init__.py

JeromeIllgner/algoritmia

406afe7206f2411557859bf03480c16db7dcce0d

[ "MIT" ]

5

2018-07-10T20:19:55.000Z

2021-03-31T03:32:22.000Z

from algoritmia.datastructures.maps.interfaces import IMap from algoritmia.datastructures.maps.linkedlistmap import LinkedListMap from algoritmia.datastructures.maps.intkeymap import IntKeyMap from algoritmia.datastructures.maps.hashmap import HashMap from algoritmia.datastructures.maps.leftleaningredblacktreemap import LeftLeaningRedBlackTreeMap __all__ = ['IMap', 'LinkedListMap', 'IntKeyMap', 'LeftLeaningRedBlackTreeMap']

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0

null

0

1

0

1

0

5

afe5d3c2dbd29ed800fb2ed370b5a3bfdedfa442

291

py

Python

write.py

shashankvray/TOEFL-Mock-Test

406d43bc5b3eaaddfd54a0eea8c10c88bbc6a988

[ "MIT" ]

null

write.py

shashankvray/TOEFL-Mock-Test

406d43bc5b3eaaddfd54a0eea8c10c88bbc6a988

[ "MIT" ]

null

write.py

shashankvray/TOEFL-Mock-Test

406d43bc5b3eaaddfd54a0eea8c10c88bbc6a988

[ "MIT" ]

null

class Writing: ''' --help = This class provides the working of TOEFL Writing section. ''' def question(self): pass def __init__(self): pass ## TODO: Label - instructions, question ## TODO: Text Field - Write answerd

22.384615

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0

1

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1

0

5

b3105c01aac7e8e579cb3b56f84916b95758eb86

41

py

Python

daugs/__init__.py

gatheluck/DataAugs

d7e398e1c79188aed71f3588ac0443c2124abae1

[ "MIT" ]

null

daugs/__init__.py

gatheluck/DataAugs

d7e398e1c79188aed71f3588ac0443c2124abae1

[ "MIT" ]

1

2021-04-17T12:06:26.000Z

daugs/__init__.py

gatheluck/DataAugs

d7e398e1c79188aed71f3588ac0443c2124abae1

[ "MIT" ]

null

from .mask import sample_hard_square_mask

41

0.902439

7

41

4.857143

0.857143

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41

1

41

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0

1

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null

0

1

0

1

0

5

b3461afe10eb0c98e3d4f1c0904122faae94f0ef

410

py

Python

exceptions.py

sharksmhi/SHARKtools_install

cb9abcc4328e91d1ace41da4857ec2d9eab85766

[ "MIT" ]

null

exceptions.py

sharksmhi/SHARKtools_install

cb9abcc4328e91d1ace41da4857ec2d9eab85766

[ "MIT" ]

null

exceptions.py

sharksmhi/SHARKtools_install

cb9abcc4328e91d1ace41da4857ec2d9eab85766

[ "MIT" ]

null

class MissingVenvException(Exception): def __init__(self, msg=''): super().__init__(msg) class CantRunProgramException(Exception): def __init__(self, msg=''): super().__init__(msg) class NoPythonExeFound(Exception): def __init__(self, msg=''): super().__init__(msg='') class NoPluginsSelected(Exception): def __init__(self, msg=''): super().__init__(msg)

20.5

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40

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5.9

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0.271186

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0.65678

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410

20

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20.5

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null

0

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1

0

5

b35d3ec5f6b8f9e7f64d7b8e5e3ffb305215ff46

8,455

py

Python

webapp/apps/btax/models.py

codekansas/PolicyBrain

83c459db883536bae70cc78ca92ebdcff554ac2d

[ "MIT" ]

null

webapp/apps/btax/models.py

codekansas/PolicyBrain

83c459db883536bae70cc78ca92ebdcff554ac2d

[ "MIT" ]

null

webapp/apps/btax/models.py

codekansas/PolicyBrain

83c459db883536bae70cc78ca92ebdcff554ac2d

[ "MIT" ]

null

import re from django.db import models from django.core import validators from django.core.urlresolvers import reverse from django.core.exceptions import ValidationError from django.core.validators import MinValueValidator, MaxValueValidator, RegexValidator from django.contrib.auth.models import User from uuidfield import UUIDField from jsonfield import JSONField import datetime from ..taxbrain.models import (SeparatedValuesField, CommaSeparatedField, convert_to_floats) class BTaxSaveInputs(models.Model): """ This model contains all the parameters for the tax model and the tax result. For filing status fields: _0 = Single, _1 = Married filing Jointly, _2 = Married filing Separately, _3 = Head of Household (example: _SS_thd50_0 is the Single filing status for Income Threshold 1 in the Social Security Tax section.) The exception to this rule is for EITC, where: _0 = 0 Kids, _1 = 1 Kid, _2 = 2 Kids, & _3 = 3+ Kids """ btax_betr_corp = CommaSeparatedField(default=None, null=True, blank=True) btax_betr_entity_Switch = models.NullBooleanField(default=None, blank=True, null=True) btax_betr_pass = CommaSeparatedField(default=None, blank=True, null=True) btax_depr_allyr = models.CharField(blank=True, default=None, null=True, max_length=50) btax_depr_3yr = models.CharField(blank=True, default=None, null=True, max_length=50) btax_depr_5yr = models.CharField(blank=True, default=None, null=True, max_length=50) btax_depr_7yr = models.CharField(blank=True, default=None, null=True, max_length=50) btax_depr_10yr = models.CharField(blank=True, default=None, null=True, max_length=50) btax_depr_15yr = models.CharField(blank=True, default=None, null=True, max_length=50) btax_depr_20yr = models.CharField(blank=True, default=None, null=True, max_length=50) btax_depr_25yr = models.CharField(blank=True, default=None, null=True, max_length=50) btax_depr_27_5yr = models.CharField(blank=True, default=None, null=True, max_length=50) btax_depr_39yr = models.CharField(blank=True, default=None, null=True, max_length=50) btax_depr_allyr_gds_Switch = models.CharField(default="True", blank=True, null=True, max_length=50) btax_depr_3yr_gds_Switch = models.CharField(default="True", blank=True, null=True, max_length=50) btax_depr_5yr_gds_Switch = models.CharField(default="True", blank=True, null=True, max_length=50) btax_depr_7yr_gds_Switch = models.CharField(default="True", blank=True, null=True, max_length=50) btax_depr_10yr_gds_Switch = models.CharField(default="True", blank=True, null=True, max_length=50) btax_depr_15yr_gds_Switch = models.CharField(default="True", blank=True, null=True, max_length=50) btax_depr_20yr_gds_Switch = models.CharField(default="True", blank=True, null=True, max_length=50) btax_depr_25yr_gds_Switch = models.CharField(default="True", blank=True, null=True, max_length=50) btax_depr_27_5yr_gds_Switch = models.CharField(default="True", blank=True, null=True, max_length=50) btax_depr_39yr_gds_Switch = models.CharField(default="True", blank=True, null=True, max_length=50) btax_depr_allyr_ads_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_3yr_ads_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_5yr_ads_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_7yr_ads_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_10yr_ads_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_15yr_ads_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_20yr_ads_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_25yr_ads_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_27_5yr_ads_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_39yr_ads_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_allyr_tax_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_3yr_tax_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_5yr_tax_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_7yr_tax_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_10yr_tax_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_15yr_tax_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_20yr_tax_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_25yr_tax_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_27_5yr_tax_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_39yr_tax_Switch = models.CharField(default="False", blank=True, null=True, max_length=50) btax_depr_allyr_exp = CommaSeparatedField(default=None, null=True, blank=True) btax_depr_3yr_exp = CommaSeparatedField(default=None, null=True, blank=True) btax_depr_5yr_exp = CommaSeparatedField(default=None, null=True, blank=True) btax_depr_7yr_exp = CommaSeparatedField(default=None, null=True, blank=True) btax_depr_10yr_exp = CommaSeparatedField(default=None, null=True, blank=True) btax_depr_15yr_exp = CommaSeparatedField(default=None, null=True, blank=True) btax_depr_20yr_exp = CommaSeparatedField(default=None, null=True, blank=True) btax_depr_25yr_exp = CommaSeparatedField(default=None, null=True, blank=True) btax_depr_27_5yr_exp = CommaSeparatedField(default=None, null=True, blank=True) btax_depr_39yr_exp = CommaSeparatedField(default=None, null=True, blank=True) btax_other_hair = CommaSeparatedField(default=None, null=True, blank=True) btax_other_corpeq = CommaSeparatedField(default=None, null=True, blank=True) btax_other_proptx = CommaSeparatedField(default=None, null=True, blank=True) btax_other_invest = CommaSeparatedField(default=None, null=True, blank=True) btax_econ_nomint = CommaSeparatedField(default=None, null=True, blank=True) btax_econ_inflat = CommaSeparatedField(default=None, null=True, blank=True) # Job IDs when running a job job_ids = SeparatedValuesField(blank=True, default=None, null=True) jobs_not_ready = SeparatedValuesField(blank=True, default=None, null=True) # Starting Year of the reform calculation first_year = models.IntegerField(default=None, null=True) # Result tax_result = JSONField(default=None, blank=True, null=True) # Creation DateTime creation_date = models.DateTimeField(default=datetime.datetime(2015, 1, 1)) class Meta: permissions = ( ("view_inputs", "Allowed to view Taxbrain."), ) class BTaxOutputUrl(models.Model): """ This model creates a unique url for each calculation. """ unique_inputs = models.ForeignKey(BTaxSaveInputs, default=None) user = models.ForeignKey(User, null=True, default=None) model_pk = models.IntegerField(default=None, null=True) # Expected Completion DateTime exp_comp_datetime = models.DateTimeField(default=datetime.datetime(2015, 1, 1)) uuid = UUIDField(auto=True, default=None, null=True) btax_vers = models.CharField(blank=True, default=None, null=True, max_length=50) taxcalc_vers = models.CharField(blank=True, default=None, null=True, max_length=50) webapp_vers = models.CharField(blank=True, default=None, null=True, max_length=50) def get_absolute_url(self): kwargs = { 'pk': self.pk } return reverse('btax_output_detail', kwargs=kwargs)

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null

0

1

0

1

0

null

0

1

0

5

b3671e87de23ff377fd2ba4ede5efbe11141c7e9

320

py

Python

mri/dispatch/__init__.py

Mri-monitoring/Mri-python-client

7ff4889c198d22b9d78b7f0ba8711efa71aef16b

[ "Apache-2.0" ]

4

2015-07-16T16:41:50.000Z

2015-08-13T09:53:30.000Z

mri/dispatch/__init__.py

Mri-monitoring/Mri-python-client

7ff4889c198d22b9d78b7f0ba8711efa71aef16b

[ "Apache-2.0" ]

4

2015-07-16T16:09:37.000Z

2015-08-18T19:38:19.000Z

mri/dispatch/__init__.py

Mri-monitoring/Mri-python-client

7ff4889c198d22b9d78b7f0ba8711efa71aef16b

[ "Apache-2.0" ]

null

from __future__ import unicode_literals from __future__ import print_function from __future__ import division from __future__ import absolute_import from future import standard_library standard_library.install_aliases() from .MatplotlibDispatch import MatplotlibDispatch from .MriServerDispatch import MriServerDispatch

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null

0

1

0

1

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1

0

5

2fcbb697da38e74c24907d678c351acda93c7f9c

302

py

Python

kerasmodels/__init__.py

kevin970401/keras-pretrainedmodels

a21ec81232e1f1cfc63b207868730f62fa8d9504

[ "BSD-3-Clause" ]

null

kerasmodels/__init__.py

kevin970401/keras-pretrainedmodels

a21ec81232e1f1cfc63b207868730f62fa8d9504

[ "BSD-3-Clause" ]

null

kerasmodels/__init__.py

kevin970401/keras-pretrainedmodels

a21ec81232e1f1cfc63b207868730f62fa8d9504

[ "BSD-3-Clause" ]

null

from .mnasnet import mnasnet, mnasnet0_5, mnasnet0_75, mnasnet0_75, mnasnet1_0, mnasnet1_3 from .mobilenetv2 import mobilenet_v2 from .shufflenetv2 import shufflenet_v2, shufflenet_v2_x0_5, shufflenet_v2_x1_0, shufflenet_v2_x1_5, shufflenet_v2_x2_0 from .squeezenet import squeezenet1_0, squeezenet1_1

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0

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0

5

2fd38885b0aa97d9e2d42bc7305da3982fae2bc2

1,478

py

Python

correlations/tests/corr1d_test.py

FilippoAleotti/Dwarf-Tensorflow

3b44d3a791b75e93f8d1cabded736440ce84bca0

[ "Apache-2.0" ]

16

2019-12-04T14:42:07.000Z

2022-03-22T05:06:01.000Z

correlations/tests/corr1d_test.py

FilippoAleotti/Dwarf-Tensorflow

3b44d3a791b75e93f8d1cabded736440ce84bca0

[ "Apache-2.0" ]

10

2020-04-12T03:26:25.000Z

2022-03-12T00:14:16.000Z

correlations/tests/corr1d_test.py

FilippoAleotti/Dwarf-Tensorflow

3b44d3a791b75e93f8d1cabded736440ce84bca0

[ "Apache-2.0" ]

3

2020-03-08T01:50:44.000Z

2020-07-10T07:51:47.000Z

import tensorflow as tf import numpy as np from external_packages.correlation1D.corr1d import correlation1d as cuda_corr from correlations.correlation1D import correlation1D as native_corr class Corr1DTest(tf.test.TestCase): def test_equals_md3(self): x = np.random.rand(2,480,640,128) y = np.random.rand(2,480,640,128) with self.test_session(): x = tf.convert_to_tensor(x, dtype=tf.float32) y = tf.convert_to_tensor(y, dtype=tf.float32) md= 3 native_corr_res = native_corr(x,y,md,stride=1).eval() cuda_corr_res = cuda_corr(x,y,pad=md, kernel_size=1, max_displacement=md, stride_1=1, stride_2=1).eval() number_errors = np.sum(np.abs(cuda_corr_res - native_corr_res) > 0.01) self.assertAllEqual(number_errors, 0) def test_equals_md4(self): x = np.random.rand(2,480,640,128) y = np.random.rand(2,480,640,128) with self.test_session(): x = tf.convert_to_tensor(x, dtype=tf.float32) y = tf.convert_to_tensor(y, dtype=tf.float32) md= 4 native_corr_res = native_corr(x,y,md,stride=1).eval() cuda_corr_res = cuda_corr(x,y,pad=md, kernel_size=1, max_displacement=md, stride_1=1, stride_2=1).eval() number_errors = np.sum(np.abs(cuda_corr_res - native_corr_res) > 0.01) self.assertAllEqual(number_errors, 0) if __name__ == '__main__': tf.test.main()

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null

0

1

0

null

0

5

640b22d20409a161ff1636ded712e381c767ddf4

1,364

py

Python

tests/operators/status_test.py

angelneo/http

850ad937bcaa917743ce9b476ca7d0ff337c243f

[ "MIT" ]

10

2017-03-27T08:34:22.000Z

2019-11-20T01:02:12.000Z

tests/operators/status_test.py

angelneo/http

850ad937bcaa917743ce9b476ca7d0ff337c243f

[ "MIT" ]

7

2017-03-20T01:38:57.000Z

2019-02-12T14:33:26.000Z

tests/operators/status_test.py

grappa-python/http

0de893e02b98282270d6daa8c48d65d0269b371f

[ "MIT" ]

5

2017-04-09T15:41:54.000Z

2020-12-18T10:17:33.000Z

import pook import pytest import requests def test_status(should): with pook.use(): pook.get('foo.com', reply=201) requests.get('http://foo.com') | should.be.status(201) pook.get('foo.com', reply=200) requests.get('http://foo.com') | should.be.status('OK') with pytest.raises(AssertionError): pook.get('foo.com', reply=500) requests.get('http://foo.com') | should.be.status('OK') def test_status_ok(should): with pook.use(): pook.get('foo.com', reply=200) requests.get('http://foo.com') | should.be.ok with pytest.raises(AssertionError): pook.get('foo.com', reply=500) requests.get('http://foo.com') | should.be.ok def test_status_bad(should): with pook.use(): pook.get('foo.com', reply=403) requests.get('http://foo.com') | should.be.bad_request with pytest.raises(AssertionError): pook.get('foo.com', reply=204) requests.get('http://foo.com') | should.be.bad_request def test_status_error(should): with pook.use(): pook.get('foo.com', reply=500) requests.get('http://foo.com') | should.be.server_error with pytest.raises(AssertionError): pook.get('foo.com', reply=404) requests.get('http://foo.com') | should.be.server_error

29.021277

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null

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1

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null

0

5

641341e4c1028294239986b0dd550b697d4f0a41

563

py

Python

qark/__init__.py

pragyan1994/Jenkins_Integration

747382d5c6d5cd835d0c7c3324956e8e352876ac

[ "Apache-2.0" ]

1

2017-12-02T21:34:26.000Z

qark/__init__.py

pragyan1994/Jenkins_Integration

747382d5c6d5cd835d0c7c3324956e8e352876ac

[ "Apache-2.0" ]

null

qark/__init__.py

pragyan1994/Jenkins_Integration

747382d5c6d5cd835d0c7c3324956e8e352876ac

[ "Apache-2.0" ]

1

2018-05-12T16:01:58.000Z

import modules import lib import qarkMain from qarkMain import runAutomated import qark from modules import adb, certValidation, common, constantResolver, contentProvider, createExploit, createSploit, cryptoFlaws, DetermineMinSDK, exportedPreferenceActivity, externalMethodDeclarations, filePermissions, filters, findBoundServices, findBroadcasts, findExtras, findMethods, findPending, findSupers, findTapJacking, GeneralIssues, intents, intentTracer, IssueType, localMethodDeclarations, report, sdkManager, unpackAPK, useCheckPermission, webviews, writeExploit

80.428571

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null

0

1

0

1

0

1

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5

642a08fed41553a97bbdaea4dacf293eea984784

455

py

Python

models/user.py

axxander/FlashcardAPI

b7221aa567b2c59700813a3cab46d58ca7897086

[ "MIT" ]

null

models/user.py

axxander/FlashcardAPI

b7221aa567b2c59700813a3cab46d58ca7897086

[ "MIT" ]

null

models/user.py

axxander/FlashcardAPI

b7221aa567b2c59700813a3cab46d58ca7897086

[ "MIT" ]

null

from tortoise import fields from tortoise.models import Model class User(Model): id = fields.IntField(pk=True) firstname = fields.CharField(max_length=30) surname = fields.CharField(max_length=30) email = fields.CharField( max_length=254, unique=True ) username = fields.CharField( max_length=60, unique=True ) hashed_password = fields.CharField(max_length=140) # not sure on hash length?

28.4375

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0.247525

0.29703

0.39604

0.171617

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455

16

82

28.4375

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null

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null

0

1

0

1

0

5

643b94e938f85645947ded6ab2ae33df3b80f6f3

41

py

Python

web/blog/__init__.py

CleyFaye/gtlive-info

9e54e81b47f4292586211e83b776eec24214ab46

[ "MIT" ]

null

web/blog/__init__.py

CleyFaye/gtlive-info

9e54e81b47f4292586211e83b776eec24214ab46

[ "MIT" ]

22

2019-03-23T21:08:08.000Z

2019-03-25T07:34:58.000Z

web/blog/__init__.py

CleyFaye/gtlive-info

9e54e81b47f4292586211e83b776eec24214ab46

[ "MIT" ]

null

from .config import Config as BlogConfig

20.5

40

0.829268

6

41

5.666667

0.833333

0

0.146341

41

1

41

0.971429

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true

0

1

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1

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1

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null

0

1

0

null

0

1

0

1

0

5

ff21ffd7f89501c673f7b8aaef29faac310d8d79

51

py

Python

fpage/user/__init__.py

nikolak/fpage

064ae766156559a65186370cc458d799f0d441d3

[ "Apache-2.0" ]

3

2019-08-15T12:26:30.000Z

2020-12-28T05:20:11.000Z

fpage/user/__init__.py

nikolak/fpage

064ae766156559a65186370cc458d799f0d441d3

[ "Apache-2.0" ]

null

fpage/user/__init__.py

nikolak/fpage

064ae766156559a65186370cc458d799f0d441d3

[ "Apache-2.0" ]

2

2020-04-15T19:06:30.000Z

2020-12-28T05:34:09.000Z

'''The user module.''' import views import models

10.2

22

0.705882

7

51

5.142857

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0

0.156863

51

4

23

12.75

0.837209

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null

0

1

0

1

0

1

0

5

ff31fa694fc2a5f11a604bc3f190dd9a9f794630

203

py

Python

brukerapi/data.py

MIRCen/brukerapi-python

5455800895924c69bf839fa621fa7a06d343b4ff

[ "MIT" ]

7

2020-06-30T16:09:20.000Z

2022-03-09T13:27:55.000Z

brukerapi/data.py

MIRCen/brukerapi-python

5455800895924c69bf839fa621fa7a06d343b4ff

[ "MIT" ]

2

2020-09-06T19:29:36.000Z

2021-03-15T08:03:46.000Z

brukerapi/data.py

MIRCen/brukerapi-python

5455800895924c69bf839fa621fa7a06d343b4ff

[ "MIT" ]

1

2022-01-20T09:43:45.000Z

class DataRandomAccess(): def __init__(self, dataset): self._dataset = dataset self._scheme = dataset._scheme def __getitem__(self, slice): return self._scheme.ra(slice)

25.375

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null

0

1

0

null

0

1

0

1

0

5

ff32868ad25a095158e694c4dbcd6e7496709458

9,179

py

Python

budgetee-server/tests/api/test_budgets.py

SPQE21-22/BSPQ22-E2

dbe8363bcd9356a962653929f7604f8d248c76dd

[ "Apache-2.0" ]

null

budgetee-server/tests/api/test_budgets.py

SPQE21-22/BSPQ22-E2

dbe8363bcd9356a962653929f7604f8d248c76dd

[ "Apache-2.0" ]

null

budgetee-server/tests/api/test_budgets.py

SPQE21-22/BSPQ22-E2

dbe8363bcd9356a962653929f7604f8d248c76dd

[ "Apache-2.0" ]

null

import pytest import json from src.database.budget import Budget @pytest.fixture() def base_data(test_user): user, token = test_user # get user object and token Budget.query.delete() # delete all budgets budget1 = Budget( name="test budget 1", description="test description 1", start_date="2022-01-01", end_date="2022-12-31", initial_budget=100, user_id=user.id ) budget2 = Budget( name="test budget 2", description="test description 2", start_date="2022-01-01", end_date="2022-12-31", initial_budget=200, user_id=user.id ) budget3 = Budget( name="test budget 3", description="test description 3", start_date="2022-01-01", end_date="2022-12-31", initial_budget=300, user_id=user.id ) budget1.save() budget2.save() budget3.save() yield [user, token, [budget1, budget2, budget3]] # /budgets tests # TODO test GET, POST, PUT, DELETE methods, and check every possible error code # GET tests def test_budgets_get(base_data, client): user, token, base_budget_list = base_data response = client.get('/budgets', headers={ "Authorization": f"bearer {token}" # send access token with the petition }) assert len(response.json) == len(base_budget_list) # check that the received number of items is the original one assert base_budget_list[0].as_dict() in response.json # check that one of the base data is present in the request result def test_budgets_get_no_token(client): """Check that the response is forbidden when the token is not sent""" client.cookie_jar.clear() # clear cookies before sending the request response = client.get('/budgets') assert response.status_code == 401 #POST tests def test_budgets_post(base_data, client): """Test that a new budget can be created""" user, token, base_budget_list = base_data response = client.post('/budgets', json={ 'name': 'new budget', 'description': 'miscellaneous', 'startDate': '2022-03-24', 'endDate': '2022-05-24', 'initialBudget': 400, 'userId': user.id }, headers={ 'Authorization': f'bearer {token}' }) assert response.status_code == 201 all_budgets = Budget.query.all() assert len(all_budgets) == len(base_budget_list) + 1 new_budget = response.json assert new_budget in [budget.as_dict() for budget in all_budgets] assert new_budget.get('name') == 'new budget' new_budget_str = json.dumps(new_budget) all_budgets_str = [json.dumps(budget.as_dict()) for budget in all_budgets] assert new_budget_str in all_budgets_str def test_budgets_post_no_token(client): """Check that the response is forbidden when the token is not sent""" client.cookie_jar.clear() # clear cookies before sending the request response = client.post('/budgets') assert response.status_code == 401 # /budget/:budget_id tests # GET tests def test_budget_get(base_data, client): """Test that a budget can be obtained""" user, token, base_budget_list = base_data base_budget = base_budget_list[0] response = client.get(f'/budgets/{str(base_budget_list[0].id)}', headers={ 'Authorization': f'bearer {token}' }) assert response.status_code == 200 budget = response.json assert json.dumps(budget) == json.dumps(base_budget.as_dict()) def test_budget_get_no_token(client): """The response is forbidden when the token is not sent""" client.cookie_jar.clear() # clear cookies before sending the request response = client.get('/budgets/401') assert response.status_code == 401 assert 'invalid JWT' in json.dumps(response.json) def test_budget_get_nonexistent(base_data, client): """The status code is 404 when the budget does not exist""" user, token, base_budget_list = base_data response = client.get('/budgets/22968743-5e64-481d-a5d7-8cb46df035e5', headers={ 'Authorization': f'bearer {token}' }) assert response.status_code == 404 def test_budget_get_invalid_uuid(base_data, client): """The status code is 400 when the budget ID is not a valid UUID""" user, token, base_budget_list = base_data response = client.get('/budgets/400', headers={ 'Authorization': f'bearer {token}' }) assert response.status_code == 400 def test_budget_get_not_owner(base_data, extra_user, client): """The status code is 403 when the user doesn't own the budget""" user, token, base_budget_list = base_data user_extra, token_extra = extra_user # create a budget owned by another user external_budget = Budget( name="external budget", description="external description", start_date="2022-01-01", end_date="2022-12-31", initial_budget=100, user_id=user_extra.id ) external_budget.save() client.cookie_jar.clear() response = client.get(f'/budgets/{str(external_budget.id)}', headers={ 'Authorization': f'bearer {token}' }) assert response.status_code == 403 # PUT tests def test_budget_put(base_data, client): """Test that a budget can be edited""" user, token, base_budget_list = base_data base_budget = base_budget_list[0] response = client.put(f'/budgets/{str(base_budget_list[0].id)}', json={ 'name': 'updated name' }, headers={ 'Authorization': f'bearer {token}' }) assert response.status_code == 200 edited_budget = response.json assert edited_budget.get('name') == 'updated name' assert edited_budget.get('initialBudget') == base_budget.initial_budget def test_budget_put_no_token(client): """The response is forbidden when the token is not sent""" client.cookie_jar.clear() # clear cookies before sending the request response = client.put('/budgets/401') assert response.status_code == 401 def test_budget_put_nonexistent(base_data, client): """The status code is 404 when the budget does not exist""" user, token, base_budget_list = base_data response = client.put('/budgets/22968743-5e64-481d-a5d7-8cb46df035e5', headers={ 'Authorization': f'bearer {token}' }) assert response.status_code == 404 def test_budget_put_invalid_uuid(base_data, client): """The status code is 400 when the budget ID is not a valid UUID""" user, token, base_budget_list = base_data response = client.put('/budgets/400', headers={ 'Authorization': f'bearer {token}' }) assert response.status_code == 400 def test_budget_put_not_owner(base_data, extra_user, client): """The status code is 403 when the user doesn't own the budget""" user, token, base_budget_list = base_data user_extra, token_extra = extra_user # create a budget owned by another user external_budget = Budget( name="external budget", description="external description", start_date="2022-01-01", end_date="2022-12-31", initial_budget=100, user_id=user_extra.id ) external_budget.save() client.cookie_jar.clear() response = client.put(f'/budgets/{str(external_budget.id)}', json={ 'name': 'external name' }, headers={ 'Authorization': f'bearer {token}' }) assert response.status_code == 403 # DELETE tests def test_budget_delete(base_data, client): user, token, base_budget_list = base_data to_delete_budget = base_budget_list[0] response = client.delete(f'/budgets/{str(to_delete_budget.id)}', headers={ 'Authorization': f'bearer {token}' }) assert response.status_code == 204 all_budgets = Budget.query.all() assert len(all_budgets) == len(base_budget_list) - 1 assert json.dumps(to_delete_budget.as_dict()) not in [json.dumps(budget.as_dict()) for budget in all_budgets] def test_budget_delete_no_token(client): """The response is forbidden when the token is not sent""" client.cookie_jar.clear() # clear cookies before sending the request response = client.delete('/budgets/401') assert response.status_code == 401 def test_budget__delete_nonexistent(base_data, client): """The status code is 404 when the budget does not exist""" user, token, base_budget_list = base_data response = client.delete('/budgets/22968743-5e64-481d-a5d7-8cb46df035e5', headers={ 'Authorization': f'bearer {token}' }) assert response.status_code == 404 def test_budget_delete_invalid_uuid(base_data, client): """The status code is 400 when the budget ID is not a valid UUID""" user, token, base_budget_list = base_data response = client.delete('/budgets/400', headers={ 'Authorization': f'bearer {token}' }) assert response.status_code == 400 def test_budget_delete_not_owner(base_data, extra_user, client): """The status code is 403 when the user doesn't own the budget""" user, token, base_budget_list = base_data user_extra, token_extra = extra_user # create a budget owned by another user external_budget = Budget( name="external budget", description="external description", start_date="2022-01-01", end_date="2022-12-31", initial_budget=100, user_id=user_extra.id ) external_budget.save() client.cookie_jar.clear() response = client.delete(f'/budgets/{str(external_budget.id)}', headers={ 'Authorization': f'bearer {token}' }) assert response.status_code == 403

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py

Python

lru_cache_pubsub_cache_clear/__init__.py

pglotov/lru_cache_pubsub_cache_clear

06d4576e943321e75f2920e97df901536ff83a95

[ "MIT" ]

1

2020-12-02T10:51:33.000Z

lru_cache_pubsub_cache_clear/__init__.py

pglotov/lru_cache_pubsub_cache_clear

06d4576e943321e75f2920e97df901536ff83a95

[ "MIT" ]

null

lru_cache_pubsub_cache_clear/__init__.py

pglotov/lru_cache_pubsub_cache_clear

06d4576e943321e75f2920e97df901536ff83a95

[ "MIT" ]

null

from .decorators import lru_cache_pubsub_cache_clear

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py

Python

src/Preferences/__init__.py

AndrewGrim/MonsterHunterWorldDatabase

a904647f5499926e46a64d884a2ffebe38dd5407

[ "MIT" ]

1

2020-02-17T00:16:01.000Z

src/Preferences/__init__.py

AndrewGrim/MonsterHunterWorldDatabase

a904647f5499926e46a64d884a2ffebe38dd5407

[ "MIT" ]

null

src/Preferences/__init__.py

AndrewGrim/MonsterHunterWorldDatabase

a904647f5499926e46a64d884a2ffebe38dd5407

[ "MIT" ]

1

2020-06-26T06:54:00.000Z

from .Preferences import * from .PreferencesWindow import *

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py

Python

src/services/mapper/__init__.py

Asa-Nisi-Masa/movie-recommender

92752aa302e166885ab3e39b3e9d2ac9185a013e

[ "MIT" ]

null

src/services/mapper/__init__.py

Asa-Nisi-Masa/movie-recommender

92752aa302e166885ab3e39b3e9d2ac9185a013e

[ "MIT" ]

null

src/services/mapper/__init__.py

Asa-Nisi-Masa/movie-recommender

92752aa302e166885ab3e39b3e9d2ac9185a013e

[ "MIT" ]

null

from src.movie_model import movie_model from .mapper import Mapper mapper = Mapper(movie_model)

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py

Python

app/utils/security/__init__.py

lokaimoma/Bugza

93ffe344cb0be7dc4c45965f52798e02d05d320b

[ "Unlicense" ]

2

2022-02-14T23:53:00.000Z

2022-03-24T12:19:49.000Z

app/utils/security/__init__.py

lokaimoma/Bugza

93ffe344cb0be7dc4c45965f52798e02d05d320b

[ "Unlicense" ]

null

app/utils/security/__init__.py

lokaimoma/Bugza

93ffe344cb0be7dc4c45965f52798e02d05d320b

[ "Unlicense" ]

null

from passlib.context import CryptContext pwd_context: CryptContext = CryptContext(schemes=["pbkdf2_sha256"], deprecated="auto")

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555

py

Python

boto3_type_annotations/boto3_type_annotations/amplify/paginator.py

cowboygneox/boto3_type_annotations

450dce1de4e066b939de7eac2ec560ed1a7ddaa2

[ "MIT" ]

119

2018-12-01T18:20:57.000Z

2022-02-02T10:31:29.000Z

boto3_type_annotations/boto3_type_annotations/amplify/paginator.py

cowboygneox/boto3_type_annotations

450dce1de4e066b939de7eac2ec560ed1a7ddaa2

[ "MIT" ]

15

2018-11-16T00:16:44.000Z

2021-11-13T03:44:18.000Z

boto3_type_annotations/boto3_type_annotations/amplify/paginator.py

cowboygneox/boto3_type_annotations

450dce1de4e066b939de7eac2ec560ed1a7ddaa2

[ "MIT" ]

11

2019-05-06T05:26:51.000Z

2021-09-28T15:27:59.000Z

from typing import Dict from botocore.paginate import Paginator class ListApps(Paginator): def paginate(self, PaginationConfig: Dict = None) -> Dict: pass class ListBranches(Paginator): def paginate(self, appId: str, PaginationConfig: Dict = None) -> Dict: pass class ListDomainAssociations(Paginator): def paginate(self, appId: str, PaginationConfig: Dict = None) -> Dict: pass class ListJobs(Paginator): def paginate(self, appId: str, branchName: str, PaginationConfig: Dict = None) -> Dict: pass

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py

Python

aioch/utils.py

maxmouchet/aioch

2d900c9d84f75dcbb124ee84d45e54d5b673b906

[ "MIT" ]

119

2017-09-26T12:53:30.000Z

2022-03-25T00:14:44.000Z

aioch/utils.py

maxmouchet/aioch

2d900c9d84f75dcbb124ee84d45e54d5b673b906

[ "MIT" ]

7

2017-11-02T14:26:08.000Z

2021-09-29T18:23:09.000Z

aioch/utils.py

maxmouchet/aioch

2d900c9d84f75dcbb124ee84d45e54d5b673b906

[ "MIT" ]

16

2018-07-16T09:22:01.000Z

2022-02-25T09:57:12.000Z

from functools import partial def run_in_executor(executor, loop, func, *args, **kwargs): if kwargs: func = partial(func, **kwargs) return loop.run_in_executor(executor, func, *args)

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py

Python

tetris/view/__init__.py

TomerHanochi/Tetris

5be6c02b27164d0b3897006e5d1476b3e8546533

[ "MIT" ]

null

tetris/view/__init__.py

TomerHanochi/Tetris

5be6c02b27164d0b3897006e5d1476b3e8546533

[ "MIT" ]

null

tetris/view/__init__.py

TomerHanochi/Tetris

5be6c02b27164d0b3897006e5d1476b3e8546533

[ "MIT" ]

null

import pygame as pg pg.display.init() pg.display.set_caption('Tetris')

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py

Python

ehb_service/apps/core/models/__init__.py

chop-dbhi/ehb-service

62f26cbb1495026caf37e1c326a593253b88bdd9

[ "BSD-2-Clause" ]

1

2018-11-03T15:53:50.000Z

ehb_service/apps/core/models/__init__.py

chop-dbhi/ehb-service

62f26cbb1495026caf37e1c326a593253b88bdd9

[ "BSD-2-Clause" ]

78

2015-12-16T20:12:20.000Z

2020-04-08T19:42:35.000Z

ehb_service/apps/core/models/__init__.py

chop-dbhi/ehb-service

62f26cbb1495026caf37e1c326a593253b88bdd9

[ "BSD-2-Clause" ]

1

2019-11-04T06:24:02.000Z

''' Created on Jun 13, 2011 @author: masinoa ''' from core.models.identities import * from core.models.clients import *

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py

Python

base/pagination.py

Jaylen0829/tornado-RESTfulAPI

f1d216e400dcbcd5d62d31ff83cdbd180eebf1a3

[ "MIT" ]

null

base/pagination.py

Jaylen0829/tornado-RESTfulAPI

f1d216e400dcbcd5d62d31ff83cdbd180eebf1a3

[ "MIT" ]

null

base/pagination.py

Jaylen0829/tornado-RESTfulAPI

f1d216e400dcbcd5d62d31ff83cdbd180eebf1a3

[ "MIT" ]

1

2022-03-29T02:54:33.000Z

class Pagination(object): # 定pagination类 page_size = 10 page_size_query_param = 'page_size' page_query_param = 'page' max_page_size = 100

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null

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5

927581f84ff910ee8a0c9d25e859df3dd12cd76e

90

py

Python

pyon/tests/tools/print_message.py

lagmoellertim/pyon

5984f4baf5242ed400d4817281a6e0f5f1438787

[ "MIT" ]

100

2019-07-20T22:30:24.000Z

2022-01-17T09:12:52.000Z

pyon/tests/tools/print_message.py

lagmoellertim/pyon

5984f4baf5242ed400d4817281a6e0f5f1438787

[ "MIT" ]

3

2019-07-21T20:51:29.000Z

2019-07-22T14:12:32.000Z

pyon/tests/tools/print_message.py

lagmoellertim/pyon

5984f4baf5242ed400d4817281a6e0f5f1438787

[ "MIT" ]

5

2019-07-21T20:12:11.000Z

2020-11-05T10:13:13.000Z

def print_start(current_test): print("\n----\nStart {}\n----\n".format(current_test))

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1

0

5

92934ed503318944afd7382dbf8f1063c74b3292

174

py

Python

parsers/pddl/pddl_data_collection.py

MikeCoder96/EmbASP-Python

60898633db9fa3786989bfe7b4c77c5381315e7a

[ "MIT" ]

1

2020-03-28T14:28:40.000Z

parsers/pddl/pddl_data_collection.py

MikeCoder96/EmbASP-Python

60898633db9fa3786989bfe7b4c77c5381315e7a

[ "MIT" ]

null

parsers/pddl/pddl_data_collection.py

MikeCoder96/EmbASP-Python

60898633db9fa3786989bfe7b4c77c5381315e7a

[ "MIT" ]

5

2020-03-29T15:48:05.000Z

2021-09-07T22:05:04.000Z

from abc import ABCMeta, abstractmethod class PDDLDataCollection(object): __metaclass__ = ABCMeta @abstractmethod def store_action(self, action): pass

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py

Python

EightBitTransit/__init__.py

esandford/EightBitTransit

a7f4f8c0add1a4fa77ad00cdeebb51c8f07267ec

[ "MIT" ]

5

2018-12-06T19:16:37.000Z

2021-06-10T20:59:29.000Z

EightBitTransit/__init__.py

esandford/EightBitTransit

a7f4f8c0add1a4fa77ad00cdeebb51c8f07267ec

[ "MIT" ]

9

2018-12-06T17:45:38.000Z

2020-06-22T23:54:26.000Z

EightBitTransit/__init__.py

esandford/EightBitTransit

a7f4f8c0add1a4fa77ad00cdeebb51c8f07267ec

[ "MIT" ]

2

2018-12-07T00:43:31.000Z

2018-12-29T02:38:31.000Z

__all__ = ['cTransitingImage','cGridFunctions','misc','inversion'] from .cTransitingImage import * from .cGridFunctions import * from .misc import * from .inversion import *

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2b86a264ec60a32c39e9254e90777d4657e12419

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py

Python

genestack_client/version.py

genestack/python-client

083eb0508dc99c7575ba7f115595f2535f007583

[ "MIT" ]

2

2017-08-30T22:32:59.000Z

2021-07-20T10:08:23.000Z

genestack_client/version.py

genestack/python-client

083eb0508dc99c7575ba7f115595f2535f007583

[ "MIT" ]

58

2015-10-19T08:36:00.000Z

2020-12-07T13:48:17.000Z

genestack_client/version.py

genestack/python-client

083eb0508dc99c7575ba7f115595f2535f007583

[ "MIT" ]

6

2015-10-21T21:43:45.000Z

2021-01-06T20:33:53.000Z

__version__ = '0.34.0a3'

12.5

24

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2b97fef661cf3782e3081cfc662bef8d14e362b0

206

wsgi

Python

modules/apache/hosting/apache/live/django.wsgi

msabramo/django-chuck

bbef6171c9b3738460dc05cb77e65ba88fcc5ad8

[ "BSD-2-Clause" ]

1

2020-05-29T04:27:50.000Z

modules/apache/hosting/apache/live/django.wsgi

msabramo/django-chuck

bbef6171c9b3738460dc05cb77e65ba88fcc5ad8

[ "BSD-2-Clause" ]

null

modules/apache/hosting/apache/live/django.wsgi

msabramo/django-chuck

bbef6171c9b3738460dc05cb77e65ba88fcc5ad8

[ "BSD-2-Clause" ]

null

import os, sys sys.path.append('/home/notch/sites/$SITE_NAME-live') sys.path.append('/home/notch/sites/$SITE_NAME-live/$PROJECT_NAME') os.environ['DJANGO_SETTINGS_MODULE'] = '$PROJECT_NAME.settings.live'

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2b9cc435d5492032982256119e1238af903f72e9

41

py

Python

hirefire/models.py

everyvoter/everyvoter

65d9b8bdf9b5c64057135c279f6e03b6c207e0fa

[ "MIT" ]

5

2019-07-01T17:50:44.000Z

2022-02-20T02:44:42.000Z

hirefire/models.py

everyvoter/everyvoter

65d9b8bdf9b5c64057135c279f6e03b6c207e0fa

[ "MIT" ]

3

2020-06-05T21:44:33.000Z

2021-06-10T21:39:26.000Z

hirefire/models.py

everyvoter/everyvoter

65d9b8bdf9b5c64057135c279f6e03b6c207e0fa

[ "MIT" ]

1

2021-12-09T06:32:40.000Z

"""Empty models file for HireFire app"""

20.5

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2bc632f5688bbfb3727d2bc36e34ca001f0647e6

116

py

Python

GodwillOnyewuchi/Phase 1/Python Basic 2/day 15 task/task 2.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

6

2020-05-23T19:53:25.000Z

2021-05-08T20:21:30.000Z

GodwillOnyewuchi/Phase 1/Python Basic 2/day 15 task/task 2.py

GREENFONTS/python-challenge-solutions

a9aad85a250892fe41961a7d5e77f67b8d14fc1b

[ "MIT" ]

8

2020-05-14T18:53:12.000Z

2020-07-03T00:06:20.000Z

GodwillOnyewuchi/Phase 1/Python Basic 2/day 15 task/task 2.py

GREENFONTS/python-challenge-solutions

a9aad85a250892fe41961a7d5e77f67b8d14fc1b

[ "MIT" ]

39

2020-05-10T20:55:02.000Z

2020-09-12T17:40:59.000Z

# Write a Python program to list home directory without absolute path import os.path print(os.path.expanduser('~'))

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189

py

Python

api/users/admin.py

min1995/CSW-capstone-team-1

b17ced9f55ea85eebf3df510dfc747d75bff0a19

[ "MIT" ]

null

api/users/admin.py

min1995/CSW-capstone-team-1

b17ced9f55ea85eebf3df510dfc747d75bff0a19

[ "MIT" ]

null

api/users/admin.py

min1995/CSW-capstone-team-1

b17ced9f55ea85eebf3df510dfc747d75bff0a19

[ "MIT" ]

2

2020-04-13T11:24:51.000Z

from django.contrib import admin from .models import User, BeerBearCustomer,BeershopOwner admin.site.register(User) admin.site.register(BeerBearCustomer) admin.site.register(BeershopOwner)

31.5

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a6521df0ef43c6ab3c22be254ad00aab324a5fc2

293

py

Python

eoscircuits/mbcircuits/__init__.py

FlyBrainLab/EOScircuits

2ade33db402997f5001f1707f136370c660dce33

[ "BSD-3-Clause" ]

null

eoscircuits/mbcircuits/__init__.py

FlyBrainLab/EOScircuits

2ade33db402997f5001f1707f136370c660dce33

[ "BSD-3-Clause" ]

null

eoscircuits/mbcircuits/__init__.py

FlyBrainLab/EOScircuits

2ade33db402997f5001f1707f136370c660dce33

[ "BSD-3-Clause" ]

null

"""Mushroom Body Circuit This module supports: 1. Generating and changing random connectivity patterns between PNs and KCs with varying degree of fan-in ratio (number of PNs connected to a given KC) 2. Changing the strength of feedback inhibition of the APL neuron """ from .circuit import *

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5

a6632fa5ac508b65195a5926d89d7c2a539ba11c

175

py

Python

gym_classic_tetris/__init__.py

annaduricy/classic-tetris-ai

8e2584d084eb209e043f0913f8fd02a08120c073

[ "MIT" ]

null

gym_classic_tetris/__init__.py

annaduricy/classic-tetris-ai

8e2584d084eb209e043f0913f8fd02a08120c073

[ "MIT" ]

null

gym_classic_tetris/__init__.py

annaduricy/classic-tetris-ai

8e2584d084eb209e043f0913f8fd02a08120c073

[ "MIT" ]

null

from gym.envs.registration import register from gym_classic_tetris.tetris_env import TetrisEnv register( id='Tetris-v0', entry_point='gym_classic_tetris:TetrisEnv', )

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5

a681e20cf17ef0a7bbdfb0898da15f2c65fa4b0b

19

py

Python

braintree/version.py

ethier/braintree_python

d76fd1d43f003ce0e9fdc3411b258b3c109a4918

[ "MIT" ]

null

braintree/version.py

ethier/braintree_python

d76fd1d43f003ce0e9fdc3411b258b3c109a4918

[ "MIT" ]

null

braintree/version.py

ethier/braintree_python

d76fd1d43f003ce0e9fdc3411b258b3c109a4918

[ "MIT" ]

null

Version = "3.57.1"

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