evilcomputer12

import hashlib
from datetime import datetime, timedelta
from cryptography.hazmat.primitives.kdf.x963kdf import X963KDF
from cryptography.hazmat.primitives import serialization, hashes
from cryptography.hazmat.primitives.asymmetric import ec
from cryptography.hazmat.primitives.serialization import load_der_public_key
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives.ciphers.aead import AESGCM

cryptogram = bytes([

evilcomputer12

/**
 * @license
 * Copyright 2021 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software

evilcomputer12

{"words": ["_background_noise_", "desno", "levo", "napred", "nazad", "stoj", "zastani"], "frameSize": 232}

evilcomputer12

/**
    * @license
    * Copyright 2021 Google LLC. All Rights Reserved.
    * Licensed under the Apache License, Version 2.0 (the "License");
    * you may not use this file except in compliance with the License.
    * You may obtain a copy of the License at
    *
    * http://www.apache.org/licenses/LICENSE-2.0
    *
    * Unless required by applicable law or agreed to in writing, software

evilcomputer12

{"format": "layers-model", "generatedBy": "keras v2.4.0", "convertedBy": "TensorFlow.js Converter v3.3.0", "modelTopology": {"keras_version": "2.4.0", "backend": "tensorflow", "model_config": {"class_name": "Sequential", "config": {"name": "TransferLearnedModel", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 43, 232, 1], "dtype": "float32", "sparse": false, "ragged": false, "name": "conv2d_1_input"}}, {"class_name": "Conv2D", "config": {"name": "conv2d_1", "trainable": false, "batch_input_shape": [null, 43, 232, 1], "dtype": "float32", "filters": 8, "kernel_size": [2, 8], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activi