From 7ae3c21f5865e97c7e3490fa2d1bd9b7177d650b Mon Sep 17 00:00:00 2001 From: Pegasi Assocation <128257630+BlackBoyZeus@users.noreply.github.com> Date: Mon, 12 Aug 2024 17:40:23 -0700 Subject: [PATCH 1/6] Update weightwatcher.py a breakdown of the file's key elements and their functions: --- weightwatcher/weightwatcher.py | 54 ++++++++++++++++++++++++++++++++++ 1 file changed, 54 insertions(+) diff --git a/weightwatcher/weightwatcher.py b/weightwatcher/weightwatcher.py index 4a5a369..5c0f0d5 100644 --- a/weightwatcher/weightwatcher.py +++ b/weightwatcher/weightwatcher.py @@ -12,6 +12,60 @@ # See the License for the specific language governing permissions and # limitations under the License. # + +''' +===================================================================================================================== +This Python file defines a class named WeightWatcher designed for analyzing weight matrices in machine learning models. +Here's a breakdown of the file's key elements and their functions: +1. Imports and Configuration +Imports: The file imports essential libraries like sys, os, re, json, numpy, pandas, scipy, matplotlib.pyplot, copy, importlib, and safetensors. It also imports custom modules (RMT_Util, constants, and WW_powerlaw). +Logging: The file sets up basic logging using the logging module. It configures the default logging level to INFO and specifies a custom logger named WW_NAME. +2. FrameworkLayer Class +Purpose: This abstract base class provides a common structure for representing layers from different deep learning frameworks. +Attributes: It defines attributes common to various layer types like layer_id, name, longname, the_type, skipped, and others. +Methods: It defines abstract methods like layer_type, has_biases, get_weights_and_biases, and replace_layer_weights. These methods need to be implemented by specific subclasses. +3. FrameworkLayer Subclasses +KerasLayer: Subclass for Keras layers, implementing specific methods for Keras. +PyTorchLayer: Subclass for PyTorch layers, implementing methods for extracting weights and biases from PyTorch models. +PyStateDictLayer: Subclass for working with PyTorch state dictionaries (.bin or .safetensors files). +PyStateDictDir: Similar to PyStateDictLayer, but reads a list of state dictionary files from a directory. +WWFlatFile: Helper class for directly reading weights and biases from flat files (.npy). +ONNXLayer: Subclass for handling ONNX layers. +4. WWLayer Class +Purpose: This class wraps the layer objects from different frameworks and provides additional metadata and analysis results. +Attributes: It stores metadata, weights and biases, original and extracted weight matrices, eigenvalues, and analysis results. +Methods: Includes methods for getting weight matrices, applying transformations, computing ESD, fitting power laws, and calculating vector metrics. +5. ModelIterator Class +Purpose: This abstract class serves as a base for iterating over layers in a model. +Attributes: Defines attributes like framework, params, layer_map, and model_iter. +Methods: Includes model_iter_, which returns a layer iterator based on the framework, and make_layer_iter_, which can be overridden by subclasses to modify the iteration behavior. +6. ModelIterator Subclasses +WWLayerIterator: Base subclass for iterating over WWLayer objects, applying filters and checking if a layer is supported. +WW2xSliceIterator: Variant of WWLayerIterator that breaks Conv2D layers into slices (for backward compatibility). +WWIntraLayerIterator: Variant for analyzing intra-layer correlations. +WWStackedLayerIterator: Variant for stacking all weight matrices into a single layer for analysis. +WWPeftLayerIterator: Variant for handling PEFT/LoRA layers. +WWDeltaLayerIterator: Variant for comparing two models by subtracting their weights and biases. +7. WeightWatcher Class +Purpose: The main class of the file, providing various methods for analyzing models using Random Matrix Theory (RMT). +Attributes: Includes model, details (dataframe containing analysis results), and framework. +Methods: Includes methods for: +Inferring framework: infer_framework and infer_model_file_format +Loading framework imports: load_framework_imports +Computing distances: distances +Analyzing models: analyze and describe +Analyzing vectors: analyze_vectors and apply_analyze_eigenvectors +Applying RMT tools: apply_esd, apply_random_esd, apply_mp_fit, fit_powerlaw +Smoothing and sharpening: SVDSmoothing, apply_svd_smoothing, SVDSharpness, apply_svd_sharpness +Preprocessing: extract_pytorch_bins, write_pystatedict_config, read_pystatedict_config, found_pystate_config +Utilities: same_models, matrix_distance, combined_eigenvalues, apply_normalize_Wmats, apply_FFT, apply_permute_W, apply_unpermute_W, apply_detX, apply_plot_esd, plot_random_esd, random_eigenvalues, normalize_evals, glorot_norm_fix, glorot_norm_check, replace_layer_weights, apply_norm_metrics, apply_plot_deltaEs, smooth_W, smooth_W_alt, get_ESD, get_Weights, get_framework_layer, and others. +8. SafeTensorDict Class +Purpose: This class provides lazy access to multiple safetensors files. It loads tensors on demand, avoiding loading all files into memory at once. +In summary, the file implements a comprehensive framework for analyzing the weights and eigenvalues of deep learning models using RMT tools. It provides various methods for extracting information, applying transformations, and visualizing the results. The WeightWatcher class is the primary interface for interacting with these functionalities. +======================================================================================================================================================================================================================================================================================================================================================= +''' + + import sys, os, re, io import glob, json import traceback From 89fffd7ae3845a067402983a33392966b585eeda Mon Sep 17 00:00:00 2001 From: Pegasi Assocation <128257630+BlackBoyZeus@users.noreply.github.com> Date: Mon, 12 Aug 2024 17:43:51 -0700 Subject: [PATCH 2/6] Update constants.py a breakdown of the file's key elements and their functions: --- weightwatcher/constants.py | 67 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 67 insertions(+) diff --git a/weightwatcher/constants.py b/weightwatcher/constants.py index 2d29231..a205085 100755 --- a/weightwatcher/constants.py +++ b/weightwatcher/constants.py @@ -12,6 +12,73 @@ # See the License for the specific language governing permissions and # limitations under the License. +''' +===================================================================================================================== +This file defines constants, enums, and global variables used by the WeightWatcher module. Let's break down its content: +1. Constants and Global Variables +WW_NAME: The name of the WeightWatcher module. +ERROR: Represents an error code, usually -1. +DEF_SAVE_DIR: The default directory for saving figures, "ww-img". +LAYERS: Key used in configuration dictionaries for specifying layer filters. +START_IDS: Key for setting the starting layer ID counter (0 or 1). +TRUNCATED_SVD, ACCURATE_SVD, FAST_SVD, SVD_METHOD: Constants related to singular value decomposition (SVD) methods. +VALID_SVD_METHODS: List of valid SVD methods. +XMIN_PEAK, XMIN_MAX, CLIP_XMAX, MAX_FINGERS, DEFAULT_MAX_FINGERS: Constants for handling "finger" issues in power law fits. +SVD, RMT: Constants for SVD-based smoothing methods. +FIT, PL, POWER_LAW, PL_PACKAGE, POWERLAW_PACKAGE, WW_POWERLAW_PACKAGE, WW_POWERLAW: Constants related to power law fitting and the package used (either powerlaw or ww). +WW_CONFIG_FILENAME: The name of the configuration file for PyTorch state dictionaries ("ww_config.json"). +PYTORCH, TENSORFLOW: Framework names. +XMAX, XMAX_FORCE, FORCE, DEFAULT_XMAX: Constants related to the maximum eigenvalue range for power law fits. +TPL, TRUNCATED_POWER_LAW, FIX_FINGERS, E_TPL: Constants related to truncated power law fitting and finger fixing. +LOG_NORMAL, EXPONENTIAL: Other potential distributions for fitting. +EUCLIDEAN, CKA, RAW: Distance calculation methods. +SUCCESS, FAILED, OVER_TRAINED, UNDER_TRAINED, OVER_TRAINED_THRESH, UNDER_TRAINED_THRESH: Constants for representing analysis status and over/under-training indicators. +UNKNOWN: Represents an unknown value. +GLOROT_FIX, NORMALIZE: Flags for applying Glorot normalization or general normalization. +SAVEFIG, SAVEDIR: Keys for saving figures and specifying the save directory. +DELTA_ES, INTRA, FFT, CONV2D_NORM, CONV2D_FFT, FINGER_THRESH, DEFAULT_FINGER_THRESH: Flags and constants for various analysis and transformation options. +GLOROT_FIT: Flag for applying Glorot normalization. +WW2X, POOL: Deprecated constants; POOL is the replacement for WW2X. +PEFT: Flag for handling PEFT/LoRA models. +VECTORS, SMOOTH, MP_FIT: Flags for analyzing eigenvectors, smoothing, and performing MP fitting. +DEFAULT_WW2X, DEFAULT_POOL: Default values for WW2X and POOL. +RESCALE, RANDOMIZE, SPARSIFY, DETX, LAMBDA_MIN, AUTO: Constants related to rescaling, randomization, sparsification, and SVD smoothing methods. +MIN_EVALS, DEFAULT_MIN_EVALS, MIN_NUM_EVALS, MAX_EVALS, DEFAULT_MAX_EVALS, MAX_NUM_EVALS, MAX_N, DEFAULT_MAX_N: Constants for specifying minimum and maximum numbers of eigenvalues. +PLOT, STACKED: Flags for enabling plotting and stacked analysis. +CHANNELS_STR, FIRST, LAST: Keys and values for handling channel order. +TOLERANCE, WEAK_RANK_LOSS_TOLERANCE: Tolerance values for rank loss computations. +ADD_BIASES: Flag for adding biases. +DEFAULT_PEFT, PEFT_WITH_BASE: Default and specific values for handling PEFT/LoRA models. +INVERSE: Flag for computing the inverse ESD. +DEFAULT_START_ID: Default starting layer ID. +DEFAULT_PARAMS: Dictionary of default parameter settings. +EVALS_THRESH, EPSILON, EVALS_HALF_THRESH, HALF_EPSILON: Thresholds and epsilon values used in precision computations. +2. Enums +LAYER_TYPE: Enum for representing different layer types. +FRAMEWORK: Enum for representing deep learning frameworks. +CHANNELS: Enum for representing channel order. +METHODS: Enum for representing analysis methods (DESCRIBE or ANALYZE). +MODEL_FILE_FORMATS: Enum for representing different model file formats. +METRICS: Enum for representing different metrics calculated. +XMIN: Enum for representing different options for setting the minimum eigenvalue. +3. Layer Types +LAYER_TYPES_SUPPORTED: List of supported layer types. +4. Framework Names +KERAS, KERAS_H5_FILE, PYTORCH, PYSTATEDICT, ONNX, WW_FLATFILES, SAFETENSORS: String representations of framework names. +5. Channel Order +CHANNELS: Enum for handling channel order. +6. Analysis Methods +METHODS: Enum for representing analysis methods. +7. Model File Formats +MODEL_FILE_FORMATS: Enum for representing different model file formats. +8. Metrics +METRICS: Enum for representing calculated metrics. +9. Minimum Eigenvalue Options +XMIN: Enum for minimum eigenvalue settings. +In essence, this file provides a comprehensive set of constants, enums, and global variables that organize the information and functionality of the WeightWatcher module. These elements ensure consistency and readability within the module's code. + +===================================================================================================================================================================================================================================================== +''' from enum import IntFlag, auto, Enum From 529d7025d2ef17ff379b5c3f5c984fb001e533f0 Mon Sep 17 00:00:00 2001 From: Pegasi Assocation <128257630+BlackBoyZeus@users.noreply.github.com> Date: Mon, 12 Aug 2024 17:45:51 -0700 Subject: [PATCH 3/6] Update WW_powerlaw.py a breakdown of key elements & functions. --- weightwatcher/WW_powerlaw.py | 35 +++++++++++++++++++++++++++++++++++ 1 file changed, 35 insertions(+) diff --git a/weightwatcher/WW_powerlaw.py b/weightwatcher/WW_powerlaw.py index 6bb1230..14c144e 100644 --- a/weightwatcher/WW_powerlaw.py +++ b/weightwatcher/WW_powerlaw.py @@ -1,3 +1,38 @@ + +''' +==================================================================================================================================================== +This Python file defines a custom power law fitting class (WWFit) and functions for interacting with the powerlaw package. Let's break down the code: +1. Imports and Configuration +Imports: The code imports essential libraries: +io for string manipulation. +warnings to control warning handling. +contextlib for redirecting output streams. +sys for system-level settings. +powerlaw for power law fitting. +numpy for numerical operations. +constants for importing relevant constants from the WeightWatcher module. +supported_distributions: A dictionary mapping distribution names to their corresponding classes from the powerlaw package. +Logging: The code sets up a logger named WW_NAME (defined in the constants module). +2. WWFit Class +Purpose: This class provides a custom wrapper around the powerlaw.Fit class, simplifying the power law fitting process. +Constructor: +Initializes attributes like data, xmin, xmax, distribution, N, xmins. +Fits the data to the specified distribution (currently only supports POWER_LAW). +Methods: +fit_power_law: Fits the data to a power law distribution using a custom method for calculating alpha and D. +__getattr__: Allows accessing attributes from the powerlaw classes using the same syntax as powerlaw.Fit. +plot_pdf: Plots the probability density function (PDF) of the data. +plot_power_law_pdf: Plots the PDF of the fitted power law distribution. +distribution_compare: Compares the current distribution with another distribution using powerlaw.loglikelihood_ratio. +3. Helper Functions +pl_fit: A wrapper function that either uses the custom WWFit class for power law fitting or the powerlaw.Fit class for other distributions, depending on the pl_package argument. It also handles potential warnings and output redirection during the fitting process. +pl_compare: A wrapper function that compares two distributions using the powerlaw.Fit.distribution_compare method, handling warnings and output redirection. +4. Global Variable +Fit: Alias for the WWFit class, making it easier to use. +In summary, this file provides a custom power law fitting class and helper functions that streamline the power law analysis process while also managing warnings and output redirection. This approach makes the code more user-friendly and consistent with the powerlaw package's interface. +=============================================================================================================================================================================================================================================================================================== +''' + import io # for powerlaw warnings From 9312b493885c306b957187bcfe3a4cbf873a4679 Mon Sep 17 00:00:00 2001 From: Pegasi Assocation <128257630+BlackBoyZeus@users.noreply.github.com> Date: Mon, 12 Aug 2024 17:47:50 -0700 Subject: [PATCH 4/6] Update RMT_Util.py --- weightwatcher/RMT_Util.py | 65 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 65 insertions(+) diff --git a/weightwatcher/RMT_Util.py b/weightwatcher/RMT_Util.py index 1f4089b..1512c9d 100644 --- a/weightwatcher/RMT_Util.py +++ b/weightwatcher/RMT_Util.py @@ -1,3 +1,68 @@ +''' +=========================================================================================================================================================================================================================================== +This Python file contains utility functions for Random Matrix Theory (RMT) analysis, focusing on eigenvalue calculations, fitting power laws, and analyzing eigenvector localization. It's a crucial component of the WeightWatcher module. +Let's break down the key elements: +1. Imports and Configuration +Imports: It imports several libraries: +logging for logging messages. +copy for making copies of objects. +pickle for serialization. +time for time measurements. +shutil for file operations. +sys, os for system interactions. +warnings for controlling warnings. +powerlaw for power law fitting. +scipy for scientific computing. +sklearn.decomposition for truncated SVD. +matplotlib.pyplot for plotting. +constants from the WeightWatcher module. +WW_powerlaw from the WeightWatcher module. +Logging: It sets up a logger named WW_NAME. +2. Functions Related to SVD and Eigenvalue Calculation +check_accelerate: Checks if the Accelerate framework is loadable on macOS. +has_mac_accelerate: Checks if the platform is macOS with Accelerate framework, potentially switching to NumPy's SVD for speed. +has_cuda: Checks for CUDA availability. +torch_T_to_np: Converts PyTorch tensors to NumPy arrays, using half precision if CUDA is available. +_svd_lowrank_accurate, _svd_values_accurate: Functions for performing low-rank SVD using SciPy's sparse.linalg.svds method. +_smooth_W_torch, _smooth_W_accurate, _smooth_W_numpy: Functions for smoothing weight matrices using truncated SVD with different methods (Torch, SciPy, or NumPy). +_eig_full_fast, _svd_full_fast, _svd_vals_fast, _svd_lowrank_fast, _svd_values_fast, _smooth_W_fast: Functions for performing SVD and eigenvalue calculations using optimized methods, potentially leveraging CUDA. +eig_full, svd_full, svd_vals, svd_lowrank, svd_values, smooth_W_switch: Wrapper functions that choose the appropriate SVD method based on the method argument. +3. Functions Related to Matrix Properties +matrix_rank: Calculates the matrix rank using singular values. +calc_rank_loss: Computes the rank loss based on singular values. +matrix_entropy: Calculates the matrix entropy using singular values. +4. Functions Related to RMT Distributions +marchenko_pastur_pdf, quarter_circle_pdf: Functions for generating the Marchenko-Pastur and Quarter-Circle distributions. +calc_sigma, calc_lambda_plus, calc_lambda_minus: Functions for calculating relevant RMT parameters. +get_Q: Calculates the aspect ratio of a matrix. +hard_rank: Calculates the matrix rank using a specific tolerance. +get_shuffled_eigenvalues: Generates shuffled eigenvalues for a matrix. +5. Functions for Plotting and Visualization +plot_density_and_fit: Plots a histogram of eigenvalues and fits a Marchenko-Pastur or Quarter-Circle distribution. +plot_density: Plots the density of eigenvalues and fits a theoretical distribution. +plot_loghist: Plots a histogram on a log scale. +6. Functions for Matrix Manipulation +permute_matrix, unpermute_matrix: Functions for permuting a matrix in a reversible way. +shuf_matrix: Shuffles the elements of a matrix. +7. Functions for Power Law Fitting +mu4alpha: Calculates a specific value for alpha. +best_dist: Determines the best distribution fit for a power law. +fit_density, fit_density_with_range: Functions for fitting the ESD to a Marchenko-Pastur distribution. +fit_clipped_powerlaw: Fits a power law, clipping off eigenvalues until a satisfactory fit is found, potentially removing "fingers" in the distribution. +8. Other Functions +jensen_shannon_distance: Calculates the Jensen-Shannon distance between two probability distributions. +rescale_eigenvalues, un_rescale_eigenvalues: Functions for rescaling and unrescaling eigenvalues. +detX_constraint: Identifies the number of eigenvalues necessary to satisfy the det(X)=1 constraint. +combine_weights_and_biases: Combines weight matrices and biases. +line_entropy: Calculates the entropy of a 1D function. +spike_min, spike_lmax: Functions related to spike analysis. +9. Utility Functions +save_fig: Saves a Matplotlib figure. +Overall, this file provides a collection of powerful tools for analyzing the spectral properties of weight matrices in deep learning models. It encompasses various functions for calculating eigenvalues, fitting power laws, analyzing eigenvector localization, and visualizing results. +========================================================================================================================================================================================================================================================================================== +''' + + # -*- coding: utf-8 -*- import logging from copy import deepcopy From 4a99448c522ed46c0e809aed180e9a1bb66efc77 Mon Sep 17 00:00:00 2001 From: Pegasi Assocation <128257630+BlackBoyZeus@users.noreply.github.com> Date: Tue, 13 Aug 2024 09:40:31 -0700 Subject: [PATCH 5/6] Created using Colab --- examples/WW-GPT.ipynb | 2273 +++++++++++++++++++++++++++++++++-------- 1 file changed, 1850 insertions(+), 423 deletions(-) diff --git a/examples/WW-GPT.ipynb b/examples/WW-GPT.ipynb index cbafe0b..753e2e7 100644 --- a/examples/WW-GPT.ipynb +++ b/examples/WW-GPT.ipynb @@ -1,442 +1,1869 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "view-in-github" - }, - "source": [ - "\"Open" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# WeightWatcher - GPT\n", - "\n", - "This notebook reproduces Figure 6(b) from our [Nature paper](https://www.nature.com/articles/s41467-021-24025-8)\n", - "\n", - "It compares the distribution of layer PL Alpha $\\alpha$ metrics for the the GPT and GPT2 pretrained models\n", - "\n", - "\n", - "And discussed on the [CalculatedContent Blog](https://calculatedcontent.com/2021/07/09/how-to-tell-if-you-have-trained-your-model-with-enough-data/)\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "import pandas as pd\n", - "\n", - "import matplotlib\n", - "import matplotlib.pyplot as plt\n", - "%matplotlib inline" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "ExecuteTime": { - "end_time": "2019-03-06T00:16:43.249725Z", - "start_time": "2019-03-06T00:16:43.240611Z" - } - }, - "source": [ - "### Import WeightWatcher\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "if 'google.colab' in sys.modules:\n", - " !pip install transformers weightwatcher" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "scrolled": true - }, - "outputs": [ + "cells": [ { - "data": { - "text/plain": [ - "('1.6.0', '0.6.5')" + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import torch\n", - "import weightwatcher as ww\n", - "torch.__version__, ww.__version__" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ + }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:transformers.file_utils:PyTorch version 1.6.0 available.\n", - "INFO:transformers.file_utils:TensorFlow version 2.1.0 available.\n" - ] - } - ], - "source": [ - "import transformers\n", - "from transformers import OpenAIGPTModel,GPT2Model" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ + "cell_type": "markdown", + "metadata": { + "id": "SMfl05BAmj9l" + }, + "source": [ + "# WeightWatcher - GPT\n", + "\n", + "This notebook reproduces Figure 6(b) from our [Nature paper](https://www.nature.com/articles/s41467-021-24025-8)\n", + "\n", + "It compares the distribution of layer PL Alpha $\\alpha$ metrics for the the GPT and GPT2 pretrained models\n", + "\n", + "\n", + "And discussed on the [CalculatedContent Blog](https://calculatedcontent.com/2021/07/09/how-to-tell-if-you-have-trained-your-model-with-enough-data/)\n", + "\n" + ] + }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:transformers.configuration_utils:loading configuration file https://s3.amazonaws.com/models.huggingface.co/bert/openai-gpt-config.json from cache at /Users/charleshmartin/.cache/torch/transformers/a27bb7c70e9002d7558d2682d5a95f3c0a8b31034616309459e0b51ef07ade09.bd0797be126548711309ad2174d2afb16e3c37e891707667603d85e35a4ad001\n", - "INFO:transformers.configuration_utils:Model config OpenAIGPTConfig {\n", - " \"_num_labels\": 2,\n", - " \"afn\": \"gelu\",\n", - " \"architectures\": [\n", - " \"OpenAIGPTLMHeadModel\"\n", - " ],\n", - " \"attn_pdrop\": 0.1,\n", - " \"bos_token_id\": null,\n", - " \"decoder_start_token_id\": null,\n", - " \"do_sample\": false,\n", - " \"early_stopping\": false,\n", - " \"embd_pdrop\": 0.1,\n", - " \"eos_token_id\": null,\n", - " \"finetuning_task\": null,\n", - " \"id2label\": {\n", - " \"0\": \"LABEL_0\",\n", - " \"1\": \"LABEL_1\"\n", - " },\n", - " \"initializer_range\": 0.02,\n", - " \"is_decoder\": false,\n", - " \"is_encoder_decoder\": false,\n", - " \"label2id\": {\n", - " \"LABEL_0\": 0,\n", - " \"LABEL_1\": 1\n", - " },\n", - " \"layer_norm_epsilon\": 1e-05,\n", - " \"length_penalty\": 1.0,\n", - " \"max_length\": 20,\n", - " \"min_length\": 0,\n", - " \"model_type\": \"openai-gpt\",\n", - " \"n_ctx\": 512,\n", - " \"n_embd\": 768,\n", - " \"n_head\": 12,\n", - " \"n_layer\": 12,\n", - " \"n_positions\": 512,\n", - " \"n_special\": 0,\n", - " \"no_repeat_ngram_size\": 0,\n", - " \"num_beams\": 1,\n", - " \"num_return_sequences\": 1,\n", - " \"output_attentions\": false,\n", - " \"output_hidden_states\": false,\n", - " \"output_past\": true,\n", - " \"pad_token_id\": null,\n", - " \"predict_special_tokens\": true,\n", - " \"prefix\": null,\n", - " \"pruned_heads\": {},\n", - " \"repetition_penalty\": 1.0,\n", - " \"resid_pdrop\": 0.1,\n", - " \"summary_activation\": null,\n", - " \"summary_first_dropout\": 0.1,\n", - " \"summary_proj_to_labels\": true,\n", - " \"summary_type\": \"cls_index\",\n", - " \"summary_use_proj\": true,\n", - " \"task_specific_params\": {\n", - " \"text-generation\": {\n", - " \"do_sample\": true,\n", - " \"max_length\": 50\n", - " }\n", - " },\n", - " \"temperature\": 1.0,\n", - " \"top_k\": 50,\n", - " \"top_p\": 1.0,\n", - " \"torchscript\": false,\n", - " \"use_bfloat16\": false,\n", - " \"vocab_size\": 40478\n", - "}\n", - "\n", - "INFO:transformers.modeling_utils:loading weights file https://s3.amazonaws.com/models.huggingface.co/bert/openai-gpt-pytorch_model.bin from cache at /Users/charleshmartin/.cache/torch/transformers/e45ee1afb14c5d77c946e66cb0fa70073a77882097a1a2cefd51fd24b172355e.e7ee3fcd07c695a4c9f31ca735502c090230d988de03202f7af9ebe1c3a4054c\n", - "INFO:transformers.configuration_utils:loading configuration file https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-config.json from cache at /Users/charleshmartin/.cache/torch/transformers/4be02c5697d91738003fb1685c9872f284166aa32e061576bbe6aaeb95649fcf.db13c9bc9c7bdd738ec89e069621d88e05dc670366092d809a9cbcac6798e24e\n", - "INFO:transformers.configuration_utils:Model config GPT2Config {\n", - " \"_num_labels\": 2,\n", - " \"activation_function\": \"gelu_new\",\n", - " \"architectures\": [\n", - " \"GPT2LMHeadModel\"\n", - " ],\n", - " \"attn_pdrop\": 0.1,\n", - " \"bos_token_id\": 50256,\n", - " \"decoder_start_token_id\": null,\n", - " \"do_sample\": false,\n", - " \"early_stopping\": false,\n", - " \"embd_pdrop\": 0.1,\n", - " \"eos_token_id\": 50256,\n", - " \"finetuning_task\": null,\n", - " \"id2label\": {\n", - " \"0\": \"LABEL_0\",\n", - " \"1\": \"LABEL_1\"\n", - " },\n", - " \"initializer_range\": 0.02,\n", - " \"is_decoder\": false,\n", - " \"is_encoder_decoder\": false,\n", - " \"label2id\": {\n", - " \"LABEL_0\": 0,\n", - " \"LABEL_1\": 1\n", - " },\n", - " \"layer_norm_epsilon\": 1e-05,\n", - " \"length_penalty\": 1.0,\n", - " \"max_length\": 20,\n", - " \"min_length\": 0,\n", - " \"model_type\": \"gpt2\",\n", - " \"n_ctx\": 1024,\n", - " \"n_embd\": 768,\n", - " \"n_head\": 12,\n", - " \"n_layer\": 12,\n", - " \"n_positions\": 1024,\n", - " \"no_repeat_ngram_size\": 0,\n", - " \"num_beams\": 1,\n", - " \"num_return_sequences\": 1,\n", - " \"output_attentions\": false,\n", - " \"output_hidden_states\": false,\n", - " \"output_past\": true,\n", - " \"pad_token_id\": null,\n", - " \"prefix\": null,\n", - " \"pruned_heads\": {},\n", - " \"repetition_penalty\": 1.0,\n", - " \"resid_pdrop\": 0.1,\n", - " \"summary_activation\": null,\n", - " \"summary_first_dropout\": 0.1,\n", - " \"summary_proj_to_labels\": true,\n", - " \"summary_type\": \"cls_index\",\n", - " \"summary_use_proj\": true,\n", - " \"task_specific_params\": {\n", - " \"text-generation\": {\n", - " \"do_sample\": true,\n", - " \"max_length\": 50\n", - " }\n", - " },\n", - " \"temperature\": 1.0,\n", - " \"top_k\": 50,\n", - " \"top_p\": 1.0,\n", - " \"torchscript\": false,\n", - " \"use_bfloat16\": false,\n", - " \"vocab_size\": 50257\n", - "}\n", - "\n", - "INFO:transformers.modeling_utils:loading weights file https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-pytorch_model.bin from cache at /Users/charleshmartin/.cache/torch/transformers/4295d67f022061768f4adc386234dbdb781c814c39662dd1662221c309962c55.778cf36f5c4e5d94c8cd9cefcf2a580c8643570eb327f0d4a1f007fab2acbdf1\n" - ] - } - ], - "source": [ - "gpt_model = OpenAIGPTModel.from_pretrained('openai-gpt')\n", - "gpt_model.eval();\n", - "\n", - "gpt2_model = GPT2Model.from_pretrained('gpt2')\n", - "gpt2_model.eval();" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ + "cell_type": "code", + "execution_count": 1, + "metadata": { + "scrolled": true, + "id": "F4GOcPjKmj9q" + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline" + ] + }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:weightwatcher:\n", - "\n", - "python version 3.7.4 (default, Aug 13 2019, 15:17:50) \n", - "[Clang 4.0.1 (tags/RELEASE_401/final)]\n", - "numpy version 1.19.1\n", - "tensforflow version 2.1.0\n", - "keras version 2.2.4-tf\n", - "INFO:weightwatcher:Saving all images to ww-img\n", - "INFO:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'conv2d_fft': False, 'ww2x': False, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'full_svd', 'fix_fingers': False, 'fit': 'power_law', 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 50, 'max_evals': 10000, 'tolerance': 1e-06, 'glorot_fit': False, 'layers': []}\n", - "INFO:weightwatcher:Saving all images to ww-img\n" - ] - } - ], - "source": [ - "watcher = ww.WeightWatcher(model=gpt_model)\n", - "gpt_details = watcher.analyze()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "scrolled": false - }, - "outputs": [ + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2019-03-06T00:16:43.249725Z", + "start_time": "2019-03-06T00:16:43.240611Z" + }, + "id": "lMmUZBm4mj9r" + }, + "source": [ + "### Import WeightWatcher\n" + ] + }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:weightwatcher:\n", - "\n", - "python version 3.7.4 (default, Aug 13 2019, 15:17:50) \n", - "[Clang 4.0.1 (tags/RELEASE_401/final)]\n", - "numpy version 1.19.1\n", - "tensforflow version 2.1.0\n", - "keras version 2.2.4-tf\n", - "INFO:weightwatcher:Saving all images to ww-img\n", - "INFO:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'conv2d_fft': False, 'ww2x': False, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'full_svd', 'fix_fingers': False, 'fit': 'power_law', 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 50, 'max_evals': 10000, 'tolerance': 1e-06, 'glorot_fit': False, 'layers': []}\n", - "INFO:weightwatcher:Saving all images to ww-img\n" - ] - } - ], - "source": [ - "watcher = ww.WeightWatcher(model=gpt2_model)\n", - "gpt2_details = watcher.analyze()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "params = {'legend.fontsize': 'x-large',\n", - " 'figure.figsize': (7,5),\n", - " 'axes.labelsize': 'x-large',\n", - " 'axes.titlesize':'xx-large',\n", - " 'xtick.labelsize':'xx-large',\n", - " 'ytick.labelsize':'xx-large'}\n", - "plt.rcParams.update(params)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ + "cell_type": "code", + "execution_count": 2, + "metadata": { + "id": "x12Pu9gzmj9s", + "outputId": "d676e6ea-1301-4fa0-88b5-8f446af00f4d", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.42.4)\n", + "Collecting weightwatcher\n", + " Downloading weightwatcher-0.7.5.2-py3-none-any.whl.metadata (26 kB)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.15.4)\n", + "Requirement already satisfied: huggingface-hub<1.0,>=0.23.2 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.23.5)\n", + "Requirement already satisfied: numpy<2.0,>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.26.4)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) 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"cell_type": "code", + "execution_count": 3, + "metadata": { + "scrolled": true, + "id": "9nxjriztmj9s", + "outputId": "21327453-73b0-4734-c579-74023a59a651", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "WARNING:weightwatcher:PyTorch is available but CUDA is not. Defaulting to SciPy for SVD\n", + "WARNING:weightwatcher:Import error , reetting to svd accurate methods\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "('2.3.1+cu121', '0.7.5.2')" + ] + }, + "metadata": {}, + "execution_count": 3 + } + ], + "source": [ + "import torch\n", + "import weightwatcher as ww\n", + "torch.__version__, ww.__version__" ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" }, { - "data": { - "image/png": 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eMP58REwpOD7rycaPb/u9mVk3kmuUr6QvAncCbwIfAfpkq/oD3yk2NDMzs+4j720zZwHHRcQ3gKUl5Q+RnkJjZmbWlPIm1JHA7yuUv0l6jJuZmVlTyptQ3wQGVyjfHpjd8XDMzMy6p7wJ9SbgPyWtnb0PSVsDP2TlPapmZmZNJ29CPQMQ6UkzA4CpwJPAi6SJ883MzJpS3vtQ3wP2lrQXMIqUkKdGxL3Fh2ZmZtZ95L4PFSC733RKoZGYmZl1Y3kfMP7dttZHhB8wbmZmTSnvGeoRZe97A0OBRcAcwAnVzMyaUt5rqFuWl0naELgGuKKooMzMzLqbvKN8VxMRr5FmULqgvbqSekk6W9ILkhZJelrScZLUTrtNJUUbr6Vl9Se2UXdYx47YzMxsdTUNSqpgKTCkinqXA0cDVwKPAvsBl5BmWWqru3geq3c3A/wTcB5pfuFKjgJWlJW9UUWcZmZmueQdlLR7eREpkX6HdE9qW223JyXTiyLi5Kz4Kkk3AGdIujIi5lRqm92u88sK2zwr+3FiK7u9LiKWtRWXmZlZEfKeoT4IBCmRlvoj8O/ttD00W15cVn4xcDDwBdIZbB5HAvOB21tZL0nrAO9GRPmZqpmZWWHyJtTNyt6vAOZFxKIq2o4C5lZ4SPmj2XZ2yhNIdra8JfDfEbGklWrzgbWBhZLuBL4TEc/n2Y+ZmVk18o7yLU+GeQyhwgT6EbFE0nzS7Td5HJUtr6mw7lXgQmAasBjYlfRQ9D0kjWrrOCSNBcYCDB8+PGdIZmbWrPJeQz2s2roRcV1ZUX/g7VaqL8rWVxtHX+AQ4KmIWO3abUScVlZ0k6TJwGTSnMNjWtt2REwAJgCMGjUqqo3JzMyaW94u319S+RpqeVkA5Ql1IdC3le32y9ZX6/PAeqQRvlWJiLslPUYaWWxmZlaovPeh7gP8FTgQ+DApqR0ITAf2iYg1steaFdq+QoVbayT1ATbI1lfrKGA5FUb+tuNFYGDONmZmZu3Ke4b6U+DkiLinpOwOSYuA/wK2a6PtNGBfScMj4qWS8p1JiX1aNQFI2hjYH5jc2m02bRgBvJazjZmZWbvynqFuRYWBRVnZatMSlrk+W55QVn4CsAS4BUBSb0kjJQ1uZTuHA2vSyr2nkvpKGlCh/GBgW+COduI0MzPLLe8Z6jPAOEljW+7rzKYNHJeta1VEPC7p58DJktZm5UxJhwDnRkRLl+9QYAZp9O6YCps6ClgA/K6VXQ0GHpF0cxbTQmA0aaall4Hx1RyomZlZHnkT6v8DbgM+KelR0uCj0cAg0rXU9hwDvAR8jZQsZwInkqYfbJekHUlnmT+LiMWtVFsA3AXsRTqb7UtKpJcCP8jmHjYzMytU3vtQ75O0JfBt4KOkkb2/BC4vOcNsq/1S0m0r57ZRZyarjyJuWfd4a+tK6ixg5T2qZmZmdZF7cvxsINBZ7VY0MzNrIrkf3yZpK0kXSro1G3GLpIOyye/NzMyaUq6EKulfgL8A25NuXWkZTbs18N1CIzMzM+tG8nb5ngd8LyLOl/ROSfm9pOuqZjB+fOWfK72vZZsd2Y6ZWSfJ2+W7PfCbCuVzSSN9zczMmlLehLoIWLdC+UeAeR0Px8zMrHvKm1AnAadLamkXkgYCPwBuLTQyMzOzbiRvQv0O8DHShAz9SNMFvkB69JpvpTEzs6aVd1DSu6SZkQ4GRpES8sXAr9qYucjMzKzHqzqhSupFekD49hExkVYmpzczM2tGVXf5RsQy0py4lZ51amZm1tTyXkP9CXCOpP6dEYyZmVl3lfca6ueBXYDZkmYA75WujIj9igrMzMysO6kqoUo6hPT80VnZy8zMzEpUe4b6a2BwRHwNQNKzwCcj4qVOi8zMzKwbqfYaavkzSDemhke/mZmZ9VS5H99mZmZmq6s2oUb2Ki8zMzMzqu+2FXCDpCXZ+37A/0haWFrJo3zNzKxZVZtQryl7/8uiAzEzM+vOqkqoLaN7zczMrDIPSjIzMyuAE6qZmVkBnFDNzMwK4IRqZmZWACdUMzOzAjihmpmZFcAJ1czMrAB1TaiSekk6W9ILkhZJelrScZLKJ9+v1HaipGjlNaxC/R0kTZb0jqQFkn4rafPOOTIzM2t29X5izOXA0cCVwKPAfsAlwPrA96rcxlHAirKyN0rfSBoJPAC8BpxJmirxJOBBSTtGxNxaD8DMzKySuiVUSduTkulFEXFyVnyVpBuAMyRdGRFzqtjUdRGxrJ0655PmH94zImZn+78T+AtwBnBiLcdgZmbWmnp2+R6aLS8uK78Y6At8ocrtSNI6kirGLmkt4ADgxpZkChARTwL3AV/JE7SZmVk16tnlOwqYGxEvlpU/SurC3anK7cwH1gYWZmed34mI50vWbwf0AR6p0PZh4JOShkXErFzRW+cbP77REZiZ1ayeCXUIMLu8MCKWSJoPDG2n/avAhcA0YDGwK3A8sIekUSWJeki2XG1fwCvZcijghGpmZoWpZ0LtD7zdyrpF2fpWRcRpZUU3SZoMTAbOBcaU7AdS0q20n9I6q5E0FhgLMHz48LZCMjMz+0A9r6EuJF0rraRftj6XiLgbeIw0Wrh0P7Syr35ldSptc0JEjIqIUYMGDcobkpmZNal6JtRXWNkd+wFJfYANWNkdm9eLwMCy/VBpXyVlte7LzMysonom1GnAxpLK+1F3zuKYVuN2R5DuN23xJLAUGF2h7uisrq+fmplZoeqZUK/PlieUlZ8ALAFuAZDUW9JISYNbKkjqK2lA+QYlHQxsC9zRUhYR7wCTgIPLtrENsDdwfUREIUdkZmaWqdugpIh4XNLPgZMlrc3KmZIOAc6NiNIRuDOAa1g50Ggw8Iikm4FnSNdARwNHAC8D48t2dwbptpkHJF1Cup56EjAPOK8zjs/MzJpbvacePAZ4CfgaKVnOJM1adEk77RYAdwF7AYeTEuTLwKXADyKitMuXiPibpD2BC0gJdDlwL3BKlbMxmZmZ5VLXhBoRS0m3uJzbRp2ZpGkDS8sWkObwzbOvx4B9cwdpZmZWAz++zczMrABOqGZmZgVwQjUzMyuAE6qZmVkBnFDNzMwK4IRqZmZWACdUMzOzAjihmpmZFcAJ1czMrABOqGZmZgVwQjUzMyuAE6qZmVkBnFDNzMwK4IRqZmZWACdUMzOzAjihmpmZFcAJ1czMrABOqGZmZgXo1egArAcYP76x+2zE/s3MyvgM1czMrABOqGZmZgVwQjUzMyuAE6qZmVkBnFDNzMwK4IRqZmZWACdUMzOzAjihmpmZFcAJ1czMrAB1TaiSekk6W9ILkhZJelrScZLUTrv+ko6RNEnSy5Lel/Q3ST+StF6F+hMlRSuvYZ12gGZm1rTqPfXg5cDRwJXAo8B+wCXA+sD32mi3Sdb2D9nyNWAn4CTgi5J2ioi3K7Q7ClhRVvZGRw7AzMyskrolVEnbk5LpRRFxclZ8laQbgDMkXRkRc1ppPg/YISKeKCm7StKfgauz7V5Yod11EbGsoEMwMzNrVT27fA/NlheXlV8M9AW+0FrDiJhflkxb3JAtt26lqSStI8nXis3MrFPVM9GMAuZGxItl5Y+SumV3qmGbQ7LlvFbWzwfeAt6VdJOkLWrYh5mZWbvqeQ11CDC7vDAilkiaDwytYZtnAwH8uqz8VVIX8DRgMbArcDywh6RRFZK6mZlZh9QzofYHKg0cAliUra+apKOBw4ELI2J66bqIOK2s+k2SJgOTgXOBMW1sdywwFmD48OF5QjIzsyZWzy7fhaRrpZX0y9ZXRdLnSaN9bwNOraZNRNwNPEYaWdxWvQkRMSoiRg0aNKjakMzMrMnVM6G+wsprnh+Q1AfYIFvfLkn7Ab8h3UJzSM5RvC8CA3PUNzMzq0o9E+o0YGNJ5f2oO2dxTGtvA5L2AG4BngAOiohFOWMYQbqH1czMrFD1TKjXZ8sTyspPAJaQEiWSeksaKWlwaSVJuwC3A88Bn46IdyvtRFJfSQMqlB8MbAvc0ZGDMDMzq6Rug5Ii4nFJPwdOlrQ2K2dKOgQ4NyJaunyHAjOAa8gGD0naBLiLNHDpGuCzZbMVzs2ukQIMBh6RdDPwDOna7GjgCOBlYHwnHaKZmTWxek89eAzwEvA1UrKcCZxImn6wLZsBH85+/nGF9fcDLQl1ASn57kUaBdyXlEgvBX4QEe7yNTOzwtU1oUbEUtJtK+e2UWcmoLKyKeVlbbRfQJrD18zMrG48JZ+ZmVkBnFDNzMwK4IRqZmZWACdUMzOzAjihmpmZFaDet800n/Hjq39fvq7a7eZpV+0229tHUfssQp7Yal2XR62fW70/0478Tjvj31+1+8uzz67877Yn6mqfd53j8RmqmZlZAZxQzczMCuCEamZmVgAnVDMzswI4oZqZmRXACdXMzKwATqhmZmYFcEI1MzMrgBOqmZlZAZxQzczMCuCEamZmVgAnVDMzswI4oZqZmRXACdXMzKwATqhmZmYFcEI1MzMrgBOqmZlZAZxQzczMCuCEamZmVgAnVDMzswI4oZqZmRXACdXMzKwAdU2oknpJOlvSC5IWSXpa0nGSVGX7HSRNlvSOpAWSfitp847WNTMz66hedd7f5cDRwJXAo8B+wCXA+sD32mooaSTwAPAacCbQDzgJeFDSjhExt5a6ZmZmRahbQpW0PSmZXhQRJ2fFV0m6AThD0pURMaeNTZwPCNgzImZn27wT+AtwBnBijXXNzMw6rJ5dvodmy4vLyi8G+gJfaK2hpLWAA4AbWxIkQEQ8CdwHfKWWumZmZkWpZ0IdBcyNiBfLyh8FVgA7tdF2O6AP8EiFdQ8DG0oaVkNdMzOzQtQzoQ4BZpcXRsQSYD4wtJ22VGoPvJIth9ZQ18zMrBCKiPrsSHqedIa6e4V1LwH/iIi9Wml7BPA/wP4RMbls3deBq4G9I2JKnrqt7GssMDZ7uxXw96oPsnMMBF5vcAz11mzH3GzHC813zM12vNBzj3mTiBhUaUU9R/kuJF0rraRftr6ttrTSvl9ZnTx1VxMRE4AJbcRSV5KmRsSoRsdRT812zM12vNB8x9xsxwvNecz17PJ9hZXdsR+Q1AfYgJXdsa21pVL7krJXaqhrZmZWiHom1GnAxpKGl5XvnMUxrY22TwJLgdEV1o0m3W86q4a6ZmZmhahnQr0+W55QVn4CsAS4BUBSb0kjJQ1uqRAR7wCTgINLyyVtA+wNXB/ZxeA8dbuJLtP9XEfNdszNdrzQfMfcbMcLTXjMdRuUBCDpauBrrDpT0iHAuRExPquzKfACcE1EjClpuzXpVphXSbMr9SXNfiTg46WTQuSpa2ZmVoR6J9TepJmKvgYMBmYClwKXtJw1tpZQs3UfBy4AdgOWA/cCp0TEcxX2VXVdMzOzjqprQjUzM+up/Pi2LkbSTpJ+Kml69qScVyXdI+lTjY6tXiTtIymy14hGx9NZJA2RNEHSLEmLs+VNktZpdGxFkzRc0tXZk6YWSvqHpCsk/VOjY+soSWtJGi/pNklzsn+3E1up26EnbnUV1R5zs32fOaF2PacAhwMPAf8B/AjYELhb0rcaGVg9ZLdRXQq81+hYOlP2RKTHgX2AK4BvAf9Nut4/oIGhFU7SBqQxDV8EfgUcD9wKHAn8SdK6DQyvCAOBc0jTp05tp+7lpCdr3Q0cB0wnjfM4uzMD7ATVHnNzfZ9FhF9d6AXsDvQrK+tPmrHpDaBXo2Ps5OM/HZgLXAQEMKLRMXXCMYr0JTQNWKvR8dTheI/NfpcHlZWfmJV/udExdvD4+gJDs597Zcc0sUK97bN1F5aV3wAsAgY3+lg64Zib6vvMZ6hdTEQ8FBGLysoWArcDHwY2bkhgdSBpE+As4DTgrQaH05n2If1lf05EvCupfzZgr6dq6cIun1Cl5X237o2IiMVR8mSrNtT8xK2uptpjbrbvMyfU7mMIsAx4s9GBdKL/InWBTWxwHJ1t/2z5nqSHgfeBRZLulfSxBsbVWe7NlpdI2l3SUEn7Av9JegLU5Nab9igdeeJWT9Mjv8+cULuB7L7afwVujYhu/dd8ayR9DvgccFxk/UI92Eey5fWkWbu+DJxMevTgA5J61NOQIuJR4NvASOCPpGOeTOr22zciljUwvHrqyBO3eoye/H1Wz8nxrQbZiM8bSGcxJzU4nE4hqT/p7PSqiGhrCsqeYq1s+XhEHNxSKGkq8CBp8MbJjQisE73CyrPR50l/PJwC3CbpgKwbsKfrD7zdyrpF2foerad/nzmhdmFZorkN2Bz4dES81OCQOsuZwHrZshm0JI9flRZGxB8lzQT2rHtEnUjSvwK/AXaIiKey4lslPQbcARxDGoTW03XkiVvdXjN8n7nLt4vKbh+5mTTT05cj4v4Gh9QpJA0BxpHm/VxP0ojs3tP1syrDJW3WsAA7R8tgnFcrrJtLGqzRk5wIPFuSTFvcSTpT2aP+ITVER5641a01y/eZE2oXJKkX6fravsCREXF7g0PqTBuS/mo/FXi25HV8tv4e0v2aPcmfs+WwCuuGAfPqGEs9bAysWaFcpO+gnjzCuVRHnrjVbTXT95kTahcjaQ3gf4DPA8dExP82OKTO9gJpUE7564Zs/fGkCQB6kt+Ruve+IemDRCPpANLAlP9rVGCd5GlgS0nlj1Q8hNTV2d5kCD1FVU/c6kma7fvM11C7nh8D/wbcDyyU9NWy9XdHxNz6h9U5IuIt4Mby8uxxewB3RQ97oEFEzJN0Nul3fa+kG0hdgSeS/sDoadcTLwA+Q5od5zLgH6RBSWOBOcBlDYytEJKOI40DaDlJ2U7SWdnPt0bE9Ih4XNLPgZMlrc3qT9zqVl2+1RwzTfZ91vCZJfxa9QVMIc060tprr0bHWKfPYTw9dKakkmMcAzxBGuE5j3T/bbeZLSfnsW5H+sPpRdLZ2BzgGmB4o2Mr6PhmtvF/dkxJvd6kKftmAotJtw6dQPagku70quaYm+37zE+bMTMzK4CvoZqZmRXACdXMzKwATqhmZmYFcEI1MzMrgBOqmZlZAZxQzczMCuCEamZmVgAnVDMzswI4oZqZmRXACdWshKSJkn6fs80USVd1YkxrSZotaeec7a6Q9OPOisvMVuWEatb1nQpMjYg/t1tzVd8DviVp87YqZX9ERPZaJulFST+TtEFZnVx/aDQrSb+XNLHRcVj9OaGadWGS+gHfAq7I2zYiZpOeJ3tsFdX/AAwGNiVN1v4l0mO3zKxKTqjWVCTtm3XRviHpLUn3S9qljfpTJP1c0g8lvS7pbUlXSepfoe7Zkl7Ntj1R0oc6su/Mp4H+wOQK+9ta0m2S3pM0R9IRkkZImi9p/azazUD5I7MqWRIRr0bErIj4HfBT4NOVjjMPScdLelrSIknPSjpTUi9JG0h6WdLFJXU3zI7jgpKydj9/Sb2z9bMlLZH0N0mHlcUxJWvX3u+oYrzVbic7M/0kcFTJWf9eHfkMrftwQrVmsxZwKbArsDvwLHBXafdmBQcDGwD/AhwOHER6xmd5nfWBvYDDgC8A3ylg33sCj0fEstJCSdsCDwPPAR8HriYlwbOAn0bEG1nVR4CNJH20jX1UspD0/VDzM5MljQfGAacDHyU97/WbwDkRMZ/0WR4r6UBJAq4lPd7trLJNtff5nwf8O/D/gG2AXwK/lPTJCttp9XfUVrw5tnMi6Wz/etIZ/2DgocqfkPU4jX5+nF9+NfJFShpvAodn7ycCvy9ZP4X03Mc1S8rGkp5l+aGSOtPLtvsz4E959t1KnVuA31QonwzcU/J+c9LzJecAa5WUr5OVf7aNfZQf89bA88DDrdWp4nMdALwPfLqs/EhgQcn7c4DXgZ8AC4DNyuq3+fln+1kMHFvW7mbg3rLttPo7yhFvu79r4PfAxEb/2/ar/i+foVpTkbSZpGslPSfpbeBtYF1gkzaaPRoRy0ve/xHoA2xRUvaXsjazgY0K2Hd/0gPIS7ezAfAp4L9Lipdkyx9GxLsl5S1t2+u63UvSu5IWAn8F/kE6+6rVx7J93pRt911J75KuBa8raVBW7/vAM8DJwDcj4oUK22rr8x+R/fxAWZv7sxhK/aXsfenvqNp429uONbGau3PMuqnbSWdE3wZeJiWiB0lfytVShbIlZe+D1S+p1LLveaTuxVJbZzE8UlK2VbacUFa3pe28NvZBtq2jgGXAnIhY3E799rQc+5dJCbNcS5f0YOAjwPJsWY1Kn39UqFNe1tbvqNp429uONTEnVGsa2Znd1sABEfF/WdkwYMN2mu4sac2Ss6TdSF+qz9dh348Bx5WVrZctl2XbWZOV1xQXldXdlpSsHm9nPwsj4rl26uTxVBbL5hExqVIFSWuQrnc+BVwE3CDpvoh4sKxqW59/kLp898y202KPsvcdjjeHJcCaHdyGdUNOqNZM3iSdqf27pOdJA11+RBqA05YNgEuzEambk7opr4yI9+qw7zuBn0j6p4h4OSt7LFueLuky4JSS+vtmSWlp9n4v4MGIeDtHrK1ZS9IOZWWLIuLp8ooR8a6k84Dz0ngj7iZ932wL7BgRpwJnZu93iIhZkn4G/ErSDhHxZsnm2vz8Jf0X8H1J80jdsV8GPg/sW+2BVRlvtV4A9pa0BfAW8FbJ78N6MHdTWNOIiBWkL9stgOmkgTY/JQ3kacuNwDuk7tn/BSax+gjeTtl3RMwgDYQ5oqRsNvAfwL+RrnduQkoe15ES8HCAbOTsYdRwD2srRpPOdEtft7QR+/eBk4CjgSdIn99JwExJuwPfBb4eEbOyJuNIA5PKZ51q7/M/E7iS9Hk+RbpN6KsRcU+eg2sr3jzbIQ2wej3bxjzgEznbWzeliPLLDGbWQtIU4LmIOLqBMfwLKZFsGRHv52h3CHA26QxweXv1u6Ku8PmbVctnqGZdXET8ATgX2Cxn077A17prMjXrbnwN1awbiIjy0bvVtLm2M2Ixs8rc5WtmZlYAd/mamZkVwAnVzMysAE6oZmZmBXBCNTMzK4ATqpmZWQGcUM3MzArghGpmZlYAJ1QzM7MC/H/XbWgzvINI9gAAAABJRU5ErkJggg==\n", 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" + "cell_type": "code", + "execution_count": 4, + "metadata": { + "id": "3ohuiReXmj9u" + }, + "outputs": [], + "source": [ + "import transformers\n", + "from transformers import OpenAIGPTModel,GPT2Model" ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "gpt_details.alpha.plot.hist(bins=100, color='red', alpha=0.5, density=True, label='gpt')\n", - "plt.legend()\n", - "plt.xlabel(r\"alpha $(\\alpha)$ PL exponent\")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "Text(0.5, 0, 'alpha $(\\\\alpha)$ PL exponent')" + "cell_type": "code", + "execution_count": 5, + "metadata": { + "id": "PfC_QodYmj9u", + "outputId": "aea76a7e-2d09-4c9c-c9d9-b7ac0697b363", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 272, + "referenced_widgets": [ + "1a8ec71402144630bda6e50ddeb13485", + "48a24c1b62fb4d46b39f4cfe4435e994", + "fe792516f21d46b387a3af8bea540bce", + "ef73a65f288f459d9e6f393a9bf1e149", + "396f8285b39145e5805ae29de176c798", + "466faa4472d7408885ac6545c9aa0824", + "c1c9be9f22be4db5b23b3cf3ecc1edbb", + "91784119a1794c26a23f122f6bb9dc90", + "8bbf7142f51e477494915e2a1c7b22e6", + "4568d945f8634584a13c107ac126af4a", + "e2a36ec1707043ca979d8a52fdef5f13", + "3e7f14a8d8534f4cb383e2f0b0b03cd6", + "9a09154d01a44423bf665c4e958b9e65", + "b0e88820503a452eaf5b67d7576a2cd6", + "8762ff3229bb4065b5ca49e9d98d8e4a", + "e827c36475264f548bdce43d2a95d6eb", + "fba3b97c31654fc8ade2a6ef9a1b8716", + "d9edd57c600c4cddb3d6858d7827661a", + "f53a1a53b53b489ebc29495c2e207889", + "bb91802005124018b50eabf79d5b0be4", + "64d3e86e4c164c17acf758eeea90d9a2", + "4d40e1b027f945c48945aeedf7dc1442", + "f15c008297524f9b9d827f7859d1ecff", + "7a3c43e4db384ca688326eae4e9fe72c", + "b6bc4fa02a3b482896f42b9928c56035", + "00b460b8b9ce4766ae40191b1496e7d7", + "986e1a2775764de1854bc98be6d5375e", + "0d2e5f7dbb984f11a1cc0f68dd9cdc1f", + "d65473d9c53c49c0a06eca3957ee9015", + "8f2bc2fbad4f4c24b26685e3c9cee218", + "2062fd8ffaf94710b6a3795cb37ea90c", + "930afba3ca224f24be2c0b7c4e1cae3a", + "d18ea14f905a48468a44474a591eaf12", + "65dc7c3e21264b699e63c2852b3c2d18", + "1d4fc1e79dda46578048446e9fd119d6", + "17e40a6ef0f7431685fbccc8fc56622d", + "27777a6d57ff4355a84273004490d149", + "f5cbf64076b142b89459826eef36b67d", + "be124bae21114426a71c02122d62f22a", + "b87c471f36d94f488945538b3959450d", + "558964ad2f3a402a8c30e85a8304c510", + "1f062c3b347b4a218d1fd7bba01abc5d", + "8e0a2fbe5a5e46fc89356a33f4c3adf3", + "9e1aeff6635648d2a7cfb6e347767fbc" + ] + } + }, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n", + "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", + "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", + "You will be able to reuse this secret in all of your notebooks.\n", + "Please note that authentication is recommended but still optional to access public models or datasets.\n", + " warnings.warn(\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "config.json: 0%| | 0.00/656 [00:00" + "cell_type": "code", + "execution_count": 6, + "metadata": { + "id": "OydN2QTLmj9v" + }, + "outputs": [], + "source": [ + "watcher = ww.WeightWatcher(model=gpt_model)\n", + "gpt_details = watcher.analyze()" ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": false, + "id": "nQKE8bu2mj9v", + "outputId": "285d1d0f-585f-48f8-9319-e0e3b140e543" + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:weightwatcher:\n", + "\n", + "python version 3.7.4 (default, Aug 13 2019, 15:17:50) \n", + "[Clang 4.0.1 (tags/RELEASE_401/final)]\n", + "numpy version 1.19.1\n", + "tensforflow version 2.1.0\n", + "keras version 2.2.4-tf\n", + "INFO:weightwatcher:Saving all images to ww-img\n", + "INFO:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'conv2d_fft': False, 'ww2x': False, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'full_svd', 'fix_fingers': False, 'fit': 'power_law', 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 50, 'max_evals': 10000, 'tolerance': 1e-06, 'glorot_fit': False, 'layers': []}\n", + "INFO:weightwatcher:Saving all images to ww-img\n" + ] + } + ], + "source": [ + "watcher = ww.WeightWatcher(model=gpt2_model)\n", + "gpt2_details = watcher.analyze()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "id": "UJ6lp2S4mj9w" + }, + "outputs": [], + "source": [ + "params = {'legend.fontsize': 'x-large',\n", + " 'figure.figsize': (7,5),\n", + " 'axes.labelsize': 'x-large',\n", + " 'axes.titlesize':'xx-large',\n", + " 'xtick.labelsize':'xx-large',\n", + " 'ytick.labelsize':'xx-large'}\n", + "plt.rcParams.update(params)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "id": "nbUqAOwJmj9w", + "outputId": "4d986933-4d8c-467a-efa8-0852635cd614", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 502 + } + }, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Text(0.5, 0, 'alpha $(\\\\alpha)$ PL exponent')" + ] + }, + "metadata": {}, + "execution_count": 8 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ], + "source": [ + "gpt_details.alpha.plot.hist(bins=100, color='red', alpha=0.5, density=True, label='gpt')\n", + "plt.legend()\n", + "plt.xlabel(r\"alpha $(\\alpha)$ PL exponent\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "id": "TzxeOUgEmj9w", + "outputId": "686e7953-7df9-4580-e9c6-ccf067e6c486", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 636 + } + }, + "outputs": [ + { + "output_type": "error", + "ename": "NameError", + "evalue": "name 'gpt2_details' is not defined", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mgpt_details\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0malpha\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbins\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m100\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'red'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdensity\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'gpt'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mgpt2_details\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0malpha\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbins\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m100\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'green'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdensity\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'gpt2'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlegend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxlabel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mr\"alpha $(\\alpha)$ PL exponent\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mNameError\u001b[0m: name 'gpt2_details' is not defined" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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"nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file From cb362a5b1c557e560500da47e7172b4c59959fa7 Mon Sep 17 00:00:00 2001 From: Pegasi Assocation <128257630+BlackBoyZeus@users.noreply.github.com> Date: Thu, 15 Aug 2024 09:36:15 -0700 Subject: [PATCH 6/6] Created using Colab --- examples/WeightWatcher.ipynb | 4748 +++++++++++++++++++++++++++++++--- 1 file changed, 4367 insertions(+), 381 deletions(-) diff --git a/examples/WeightWatcher.ipynb b/examples/WeightWatcher.ipynb index 8fb820c..c492bc8 100644 --- a/examples/WeightWatcher.ipynb +++ b/examples/WeightWatcher.ipynb @@ -1,387 +1,4373 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "view-in-github" - }, - "source": [ - "\"Open" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# WeightWatcher \n", - "\n", - "### Basic Functionality\n", - "\n", - "https://calculationconsulting.com" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "ExecuteTime": { - "end_time": "2019-03-05T23:51:16.544327Z", - "start_time": "2019-03-05T23:51:16.531457Z" + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] }, - "scrolled": true - }, - "outputs": [], - "source": [ - "# Suppress the powerlaw package warnings\n", - "# \"powerlaw.py:700: RuntimeWarning: divide by zero encountered in true_divide\"\n", - "# \"powerlaw.py:700: RuntimeWarning: invalid value encountered in true_divide\"\n", - "import warnings\n", - "warnings.simplefilter(action='ignore', category=RuntimeWarning)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import pandas as pd\n", - "\n", - "import matplotlib\n", - "import matplotlib.pyplot as plt\n", - "%matplotlib inline" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "if 'google.colab' in sys.modules:\n", - " !pip install weightwatcher " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 1. Quick start example" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 1.1 Import your model (Keras or PyTorch)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "ExecuteTime": { - "end_time": "2019-03-05T23:51:48.865394Z", - "start_time": "2019-03-05T23:51:16.555209Z" - } - }, - "outputs": [], - "source": [ - "import tensorflow as tf\n", - "from tensorflow.keras.models import load_model\n", - "from tensorflow.keras.applications import vgg16\n", - "\n", - "kmodel = vgg16.VGG16\n", - "model = kmodel(weights='imagenet')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 1.2 Run WeightWatcher" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import weightwatcher as ww\n", - "import logging\n", - "\n", - "logging.basicConfig(level=logging.INFO)\n", - "logger = logging.getLogger(ww.__name__)\n", - "logger.setLevel(logging.INFO)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "ExecuteTime": { - "end_time": "2019-03-05T23:51:54.297463Z", - "start_time": "2019-03-05T23:51:48.878699Z" + { + "cell_type": "markdown", + "metadata": { + "id": "hnLXshxc3gf3" + }, + "source": [ + "# WeightWatcher \n", + "\n", + "### Basic Functionality\n", + "\n", + "https://calculationconsulting.com" + ] }, - "scrolled": true - }, - "outputs": [], - "source": [ - "\n", - "watcher = ww.WeightWatcher(model=model)\n", - "details = watcher.analyze()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "ExecuteTime": { - "end_time": "2019-03-05T23:51:54.412503Z", - "start_time": "2019-03-05T23:51:54.309238Z" - } - }, - "outputs": [], - "source": [ - "details" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "ExecuteTime": { - "end_time": "2019-03-05T23:51:54.441885Z", - "start_time": "2019-03-05T23:51:54.418688Z" - } - }, - "outputs": [], - "source": [ - "watcher.get_summary(details)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 2. Advanced examples" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 2.1 Filter by layer type (CONV1D, CONV2D, DENSE)\n", - "\n", - "In this example we are interested in the DENSE layers only\n", - "\n", - "### BROKEN for now" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "ExecuteTime": { - "end_time": "2019-03-05T23:52:19.042816Z", - "start_time": "2019-03-05T23:51:54.498749Z" - } - }, - "outputs": [], - "source": [ - "from tensorflow.keras.applications import vgg16\n", - "\n", - "kmodel = vgg16.VGG16\n", - "model = kmodel(weights='imagenet')\n", - "\n", - "watcher = ww.WeightWatcher(model=model)\n", - "details = watcher.analyze(layers=[ww.LAYER_TYPE.DENSE])\n", - "details" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 2.2 Filter by multiple layer types\n", - "\n", - "In this example we are interested in the CONV1D and DENSE layers.\n", - "\n", - "Filter the layers using a bitmask." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "ExecuteTime": { - "end_time": "2019-03-05T23:52:20.812400Z", - "start_time": "2019-03-05T23:52:19.101208Z" - } - }, - "outputs": [], - "source": [ - "import weightwatcher as ww\n", - "\n", - "watcher = ww.WeightWatcher(model=model)\n", - "\n", - "details = watcher.analyze(layers=[ww.LAYER_TYPE.CONV1D,ww.LAYER_TYPE.DENSE])\n", - "details" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 2.3 Filter by layer Ids" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "ExecuteTime": { - "end_time": "2019-03-05T23:52:22.428909Z", - "start_time": "2019-03-05T23:52:20.830391Z" + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2019-03-05T23:51:16.544327Z", + "start_time": "2019-03-05T23:51:16.531457Z" + }, + "scrolled": true, + "id": "x3S11V883gf7" + }, + "outputs": [], + "source": [ + "# Suppress the powerlaw package warnings\n", + "# \"powerlaw.py:700: RuntimeWarning: divide by zero encountered in true_divide\"\n", + "# \"powerlaw.py:700: RuntimeWarning: invalid value encountered in true_divide\"\n", + "import warnings\n", + "warnings.simplefilter(action='ignore', category=RuntimeWarning)" + ] }, - "scrolled": false - }, - "outputs": [], - "source": [ - "watcher = ww.WeightWatcher(model=model)\n", - "details = watcher.analyze(layers=[20])\n", - "details" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "ExecuteTime": { - "end_time": "2018-10-01T22:51:12.554859Z", - "start_time": "2018-10-01T22:51:12.518859Z" - } - }, - "source": [ - "## 2.4 Plots" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "ExecuteTime": { - "end_time": "2019-03-06T00:16:38.794143Z", - "start_time": "2019-03-05T23:52:25.030000Z" - } - }, - "outputs": [], - "source": [ - "watcher = ww.WeightWatcher(model=model)\n", - "details = watcher.analyze(plot=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "ExecuteTime": { - "end_time": "2018-10-01T22:51:12.554859Z", - "start_time": "2018-10-01T22:51:12.518859Z" - } - }, - "source": [ - "## 2.5 Debug and Custom Logging" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "ExecuteTime": { - "end_time": "2019-03-06T00:16:41.769719Z", - "start_time": "2019-03-06T00:16:38.803181Z" - } - }, - "outputs": [], - "source": [ - "logger = logging.getLogger(ww.__name__)\n", - "logger.setLevel(logging.DEBUG)\n", - "\n", - "watcher = ww.WeightWatcher(model=model)\n", - "details = watcher.analyze()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 3. pyTorch Models" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "ExecuteTime": { - "end_time": "2019-03-06T00:40:17.723085Z", - "start_time": "2019-03-06T00:16:43.259483Z" + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "id": "tTLPP1K83gf-" + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "id": "zG10HxsL3gf-", + "outputId": "597a8612-eb43-4e08-8b6d-9eb0d26d7aed", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting weightwatcher\n", + " Downloading weightwatcher-0.7.5.2-py3-none-any.whl.metadata (26 kB)\n", + "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from weightwatcher) (1.26.4)\n", + "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from weightwatcher) (2.1.4)\n", + "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from weightwatcher) (3.7.1)\n", + "Requirement already satisfied: matplotlib-inline in /usr/local/lib/python3.10/dist-packages (from weightwatcher) (0.1.7)\n", + "Collecting powerlaw (from weightwatcher)\n", + " Downloading powerlaw-1.5-py3-none-any.whl.metadata (9.3 kB)\n", + "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.10/dist-packages (from weightwatcher) (1.3.2)\n", + "Requirement already satisfied: safetensors in /usr/local/lib/python3.10/dist-packages (from weightwatcher) (0.4.4)\n", + "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from weightwatcher) (4.66.5)\n", + "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->weightwatcher) (1.2.1)\n", + "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib->weightwatcher) (0.12.1)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->weightwatcher) (4.53.1)\n", + "Requirement already satisfied: 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\u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading powerlaw-1.5-py3-none-any.whl (24 kB)\n", + "Installing collected packages: powerlaw, weightwatcher\n", + "Successfully installed powerlaw-1.5 weightwatcher-0.7.5.2\n" + ] + } + ], + "source": [ + "import sys\n", + "if 'google.colab' in sys.modules:\n", + " !pip install weightwatcher" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "xT7TndjL3gf_" + }, + "source": [ + "## 1. Quick start example" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "b3gsJUV83gf_" + }, + "source": [ + "### 1.1 Import your model (Keras or PyTorch)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2019-03-05T23:51:48.865394Z", + "start_time": "2019-03-05T23:51:16.555209Z" + }, + "id": "XTf3pe103gf_", + "outputId": "2e8b6559-0820-417c-d56c-2d754c49d713", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/vgg16/vgg16_weights_tf_dim_ordering_tf_kernels.h5\n", + "\u001b[1m553467096/553467096\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 0us/step\n" + ] + } + ], + "source": [ + "import tensorflow as tf\n", + "from tensorflow.keras.models import load_model\n", + "from tensorflow.keras.applications import vgg16\n", + "\n", + "kmodel = vgg16.VGG16\n", + "model = kmodel(weights='imagenet')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "4Yj0Wa_g3ggA" + }, + "source": [ + "### 1.2 Run WeightWatcher" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "id": "dnEoVY193ggA" + }, + "outputs": [], + "source": [ + "import weightwatcher as ww\n", + "import logging\n", + "\n", + "logging.basicConfig(level=logging.INFO)\n", + "logger = logging.getLogger(ww.__name__)\n", + "logger.setLevel(logging.INFO)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2019-03-05T23:51:54.297463Z", + "start_time": "2019-03-05T23:51:48.878699Z" + }, + "scrolled": true, + "id": "R40E3wZS3ggA", + "outputId": "6427967b-814e-4754-af43-22d7c649d046", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:\n", + "\n", + "python version 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]\n", + "numpy version 1.26.4\n", + "tensorflow version 2.17.0\n", + "\n", + "INFO:weightwatcher:\n", + "\n", + "python version 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]\n", + "numpy version 1.26.4\n", + "tensorflow version 2.17.0\n", + "\n", + "INFO:weightwatcher:Saving all images to ww-img\n", + "INFO:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []}\n", + "INFO:weightwatcher:Saving all images to ww-img\n", + "INFO:weightwatcher:Using \n", + "INFO:weightwatcher:tensorflow version 2.17.0\n", + "\n", + "INFO:weightwatcher:framework from model = keras\n", + "INFO:weightwatcher:keras layer: input_layer type unknown not found \n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:keras layer: block1_pool type unknown not found \n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:keras layer: block2_pool type unknown not found \n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:keras layer: block3_pool type unknown not found \n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:keras layer: block4_pool type unknown not found \n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:keras layer: block5_pool type unknown not found \n", + "INFO:weightwatcher:keras layer: flatten type flattened not found \n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + } + ], + "source": [ + "\n", + "watcher = ww.WeightWatcher(model=model)\n", + "details = watcher.analyze()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2019-03-05T23:51:54.412503Z", + "start_time": "2019-03-05T23:51:54.309238Z" + }, + "id": "Z2P_eJYS3ggB", + "outputId": "b8a9994b-a201-4d8e-fc1e-2796a1c39045", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 878 + } + }, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " layer_id name D M N Q alpha \\\n", + "0 1 block1_conv1 0.189501 3 64 21.333333 17.964401 \n", + "1 2 block1_conv2 0.099411 64 64 1.000000 1.233437 \n", + "2 4 block2_conv1 0.089209 64 128 2.000000 5.218346 \n", + "3 5 block2_conv2 0.071233 128 128 1.000000 4.916920 \n", + "4 7 block3_conv1 0.064909 128 256 2.000000 2.411648 \n", + "5 8 block3_conv2 0.081294 256 256 1.000000 2.931934 \n", + "6 9 block3_conv3 0.061629 256 256 1.000000 2.989979 \n", + "7 11 block4_conv1 0.070437 256 512 2.000000 6.261049 \n", + "8 12 block4_conv2 0.046917 512 512 1.000000 3.018556 \n", + "9 13 block4_conv3 0.036842 512 512 1.000000 3.076449 \n", + "10 15 block5_conv1 0.061987 512 512 1.000000 3.402795 \n", + "11 16 block5_conv2 0.037598 512 512 1.000000 3.404768 \n", + "12 17 block5_conv3 0.034773 512 512 1.000000 3.736873 \n", + "13 20 fc1 0.027346 4096 25088 6.125000 2.107102 \n", + "14 21 fc2 0.032421 4096 4096 1.000000 2.033857 \n", + "15 22 predictions 0.026332 1000 4096 4.096000 3.030404 \n", + "\n", + " alpha_weighted entropy has_esd ... sigma spectral_norm \\\n", + "0 10.586237 0.851586 True ... 6.925688 3.884094 \n", + "1 0.144255 0.728762 True ... 0.011897 1.309042 \n", + "2 0.447861 0.800430 True ... 0.797192 1.218496 \n", + "3 -1.311546 0.885675 True ... 0.652820 0.541076 \n", + "4 -0.284960 0.914160 True ... 0.100069 0.761799 \n", + "5 -0.832555 0.973355 True ... 0.163865 0.520043 \n", + "6 -1.034300 0.993484 True ... 0.150428 0.450897 \n", + "7 -2.323427 1.012404 True ... 0.821638 0.425508 \n", + "8 -1.087909 1.135652 True ... 0.129225 0.436107 \n", + "9 -0.880066 1.150341 True ... 0.127077 0.517529 \n", + "10 -1.639965 1.159105 True ... 0.146229 0.329650 \n", + "11 -0.765549 1.163776 True ... 0.164387 0.595873 \n", + "12 -0.126345 1.164293 True ... 0.133546 0.925102 \n", + "13 1.689530 1.106900 True ... 0.023966 6.336165 \n", + "14 1.816351 1.067917 True ... 0.028159 7.817311 \n", + "15 2.868678 0.943301 True ... 0.266605 8.843657 \n", + "\n", + " stable_rank status sv_max sv_min warning \\\n", + "0 9.505241 success 1.970810 6.904261e-01 under-trained \n", + "1 25.746554 success 1.144134 1.570639e-04 over-trained \n", + "2 31.414472 success 1.103855 9.552398e-03 \n", + "3 75.523238 success 0.735579 6.550567e-04 \n", + "4 58.446486 success 0.872811 1.522300e-02 \n", + "5 86.464096 success 0.721140 1.407106e-04 \n", + "6 105.269552 success 0.671489 4.518723e-04 \n", + "7 140.337333 success 0.652310 1.951619e-02 under-trained \n", + "8 157.853079 success 0.660384 2.553803e-04 \n", + "9 145.783110 success 0.719395 1.806136e-04 \n", + "10 271.732793 success 0.574152 3.045904e-04 \n", + "11 153.042703 success 0.771928 4.505920e-04 \n", + "12 93.167997 success 0.961822 4.390959e-04 \n", + "13 86.676815 success 2.517174 1.159824e-01 \n", + "14 41.578633 success 2.795945 9.829789e-10 \n", + "15 31.760591 success 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layer_idnameDMNQalphaalpha_weightedentropyhas_esd...sigmaspectral_normstable_rankstatussv_maxsv_minwarningweak_rank_lossxmaxxmin
01block1_conv10.18950136421.33333317.96440110.5862370.851586True...6.9256883.8840949.505241success1.9708106.904261e-01under-trained03.8840943.344869
12block1_conv20.09941164641.0000001.2334370.1442550.728762True...0.0118971.30904225.746554success1.1441341.570639e-04over-trained441.3090420.000046
24block2_conv10.089209641282.0000005.2183460.4478610.800430True...0.7971921.21849631.414472success1.1038559.552398e-0301.2184960.477076
35block2_conv20.0712331281281.0000004.916920-1.3115460.885675True...0.6528200.54107675.523238success0.7355796.550567e-04210.5410760.266994
47block3_conv10.0649091282562.0000002.411648-0.2849600.914160True...0.1000690.76179958.446486success0.8728111.522300e-0200.7617990.067426
58block3_conv20.0812942562561.0000002.931934-0.8325550.973355True...0.1638650.52004386.464096success0.7211401.407106e-04380.5200430.088556
69block3_conv30.0616292562561.0000002.989979-1.0343000.993484True...0.1504280.450897105.269552success0.6714894.518723e-04230.4508970.076317
711block4_conv10.0704372565122.0000006.261049-2.3234271.012404True...0.8216380.425508140.337333success0.6523101.951619e-02under-trained00.4255080.202395
812block4_conv20.0469175125121.0000003.018556-1.0879091.135652True...0.1292250.436107157.853079success0.6603842.553803e-04460.4361070.066435
913block4_conv30.0368425125121.0000003.076449-0.8800661.150341True...0.1270770.517529145.783110success0.7193951.806136e-04370.5175290.061605
1015block5_conv10.0619875125121.0000003.402795-1.6399651.159105True...0.1462290.329650271.732793success0.5741523.045904e-04340.3296500.075905
1116block5_conv20.0375985125121.0000003.404768-0.7655491.163776True...0.1643870.595873153.042703success0.7719284.505920e-04310.5958730.077983
1217block5_conv30.0347735125121.0000003.736873-0.1263451.164293True...0.1335460.92510293.167997success0.9618224.390959e-04270.9251020.050569
1320fc10.0273464096250886.1250002.1071021.6895301.106900True...0.0239666.33616586.676815success2.5171741.159824e-0106.3361650.050573
1421fc20.032421409640961.0000002.0338571.8163511.067917True...0.0281597.81731141.578633success2.7959459.829789e-10227.8173110.043260
1522predictions0.026332100040964.0960003.0304042.8686780.943301True...0.2666058.84365731.760591success2.9738296.500224e-0418.8436570.972452
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Advanced examples" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "WRyXLP9W3ggB" + }, + "source": [ + "## 2.1 Filter by layer type (CONV1D, CONV2D, DENSE)\n", + "\n", + "In this example we are interested in the DENSE layers only\n", + "\n", + "### BROKEN for now" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2019-03-05T23:52:19.042816Z", + "start_time": "2019-03-05T23:51:54.498749Z" + }, + "id": "ydu9UAEt3ggB", + "outputId": "add73249-36e4-4565-96af-37c1779ed755", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 834 + } + }, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:\n", + "\n", + "python version 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]\n", + "numpy version 1.26.4\n", + "tensorflow version 2.17.0\n", + "\n", + "INFO:weightwatcher:\n", + "\n", + "python version 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]\n", + "numpy version 1.26.4\n", + "tensorflow version 2.17.0\n", + "\n", + "INFO:weightwatcher:Saving all images to ww-img\n", + "INFO:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': ['dense']}\n", + "INFO:weightwatcher:Saving all images to ww-img\n", + "INFO:weightwatcher:Using \n", + "INFO:weightwatcher:tensorflow version 2.17.0\n", + "\n", + "INFO:weightwatcher:framework from model = keras\n", + "INFO:weightwatcher:Filtering layer by type dense\n", + "INFO:weightwatcher:keras layer: input_layer_1 type unknown not found \n", + "INFO:weightwatcher:keras layer: block1_pool type unknown not found \n", + "INFO:weightwatcher:keras layer: block2_pool type unknown not found \n", + "INFO:weightwatcher:keras layer: block3_pool type unknown not found \n", + "INFO:weightwatcher:keras layer: block4_pool type unknown not found \n", + "INFO:weightwatcher:keras layer: block5_pool type unknown not found \n", + "INFO:weightwatcher:keras layer: flatten type flattened not found \n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " layer_id name D M N Q alpha \\\n", + "0 20 fc1 0.027346 4096 25088 6.125 2.107102 \n", + "1 21 fc2 0.032421 4096 4096 1.000 2.033857 \n", + "2 22 predictions 0.026332 1000 4096 4.096 3.030404 \n", + "\n", + " alpha_weighted entropy has_esd ... sigma spectral_norm \\\n", + "0 1.689530 1.106900 True ... 0.023966 6.336165 \n", + "1 1.816351 1.067917 True ... 0.028159 7.817311 \n", + "2 2.868678 0.943301 True ... 0.266605 8.843657 \n", + "\n", + " stable_rank status sv_max sv_min warning weak_rank_loss \\\n", + "0 86.676815 success 2.517174 1.159824e-01 0 \n", + "1 41.578633 success 2.795945 9.829789e-10 22 \n", + "2 31.760591 success 2.973829 6.500224e-04 1 \n", + "\n", + " xmax xmin \n", + "0 6.336165 0.050573 \n", + "1 7.817311 0.043260 \n", + "2 8.843657 0.972452 \n", + "\n", + "[3 rows x 32 columns]" + ], + "text/html": [ + "\n", + "
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layer_idnameDMNQalphaalpha_weightedentropyhas_esd...sigmaspectral_normstable_rankstatussv_maxsv_minwarningweak_rank_lossxmaxxmin
020fc10.0273464096250886.1252.1071021.6895301.106900True...0.0239666.33616586.676815success2.5171741.159824e-0106.3361650.050573
121fc20.032421409640961.0002.0338571.8163511.067917True...0.0281597.81731141.578633success2.7959459.829789e-10227.8173110.043260
222predictions0.026332100040964.0963.0304042.8686780.943301True...0.2666058.84365731.760591success2.9738296.500224e-0418.8436570.972452
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\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "details" + } + }, + "metadata": {}, + "execution_count": 9 + } + ], + "source": [ + "from tensorflow.keras.applications import vgg16\n", + "\n", + "kmodel = vgg16.VGG16\n", + "model = kmodel(weights='imagenet')\n", + "\n", + "watcher = ww.WeightWatcher(model=model)\n", + "details = watcher.analyze(layers=[ww.LAYER_TYPE.DENSE])\n", + "details" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "oegBro-N3ggC" + }, + "source": [ + "## 2.2 Filter by multiple layer types\n", + "\n", + "In this example we are interested in the CONV1D and DENSE layers.\n", + "\n", + "Filter the layers using a bitmask." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2019-03-05T23:52:20.812400Z", + "start_time": "2019-03-05T23:52:19.101208Z" + }, + "id": "bt4Q57YO3ggC", + "outputId": "0c356d55-88b1-494e-9195-c88ee53052f5", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 852 + } + }, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:\n", + "\n", + "python version 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]\n", + "numpy version 1.26.4\n", + "tensorflow version 2.17.0\n", + "\n", + "INFO:weightwatcher:\n", + "\n", + "python version 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]\n", + "numpy version 1.26.4\n", + "tensorflow version 2.17.0\n", + "\n", + "INFO:weightwatcher:Saving all images to ww-img\n", + "INFO:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': ['conv1d', 'dense']}\n", + "INFO:weightwatcher:Saving all images to ww-img\n", + "INFO:weightwatcher:Using \n", + "INFO:weightwatcher:tensorflow version 2.17.0\n", + "\n", + "INFO:weightwatcher:framework from model = keras\n", + "INFO:weightwatcher:Filtering layer by type conv1d\n", + "INFO:weightwatcher:Filtering layer by type dense\n", + "INFO:weightwatcher:keras layer: input_layer_1 type unknown not found \n", + "INFO:weightwatcher:keras layer: block1_pool type unknown not found \n", + "INFO:weightwatcher:keras layer: block2_pool type unknown not found \n", + "INFO:weightwatcher:keras layer: block3_pool type unknown not found \n", + "INFO:weightwatcher:keras layer: block4_pool type unknown not found \n", + "INFO:weightwatcher:keras layer: block5_pool type unknown not found \n", + "INFO:weightwatcher:keras layer: flatten type flattened not found \n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " layer_id name D M N Q alpha \\\n", + "0 20 fc1 0.027346 4096 25088 6.125 2.107102 \n", + "1 21 fc2 0.032421 4096 4096 1.000 2.033857 \n", + "2 22 predictions 0.026332 1000 4096 4.096 3.030404 \n", + "\n", + " alpha_weighted entropy has_esd ... sigma spectral_norm \\\n", + "0 1.689530 1.106900 True ... 0.023966 6.336165 \n", + "1 1.816351 1.067917 True ... 0.028159 7.817311 \n", + "2 2.868678 0.943301 True ... 0.266605 8.843657 \n", + "\n", + " stable_rank status sv_max sv_min warning weak_rank_loss \\\n", + "0 86.676815 success 2.517174 1.159824e-01 0 \n", + "1 41.578633 success 2.795945 9.829789e-10 22 \n", + "2 31.760591 success 2.973829 6.500224e-04 1 \n", + "\n", + " xmax xmin \n", + "0 6.336165 0.050573 \n", + "1 7.817311 0.043260 \n", + "2 8.843657 0.972452 \n", + "\n", + "[3 rows x 32 columns]" + ], + "text/html": [ + "\n", + "
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layer_idnameDMNQalphaalpha_weightedentropyhas_esd...sigmaspectral_normstable_rankstatussv_maxsv_minwarningweak_rank_lossxmaxxmin
020fc10.0273464096250886.1252.1071021.6895301.106900True...0.0239666.33616586.676815success2.5171741.159824e-0106.3361650.050573
121fc20.032421409640961.0002.0338571.8163511.067917True...0.0281597.81731141.578633success2.7959459.829789e-10227.8173110.043260
222predictions0.026332100040964.0963.0304042.8686780.943301True...0.2666058.84365731.760591success2.9738296.500224e-0418.8436570.972452
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layer_idnameDMNQalphaalpha_weightedentropyhas_esd...sigmaspectral_normstable_rankstatussv_maxsv_minwarningweak_rank_lossxmaxxmin
020fc10.0273464096250886.1252.1071021.689531.1069True...0.0239666.33616586.676815success2.5171740.11598206.3361650.050573
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\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "details" + } + }, + "metadata": {}, + "execution_count": 11 + } + ], + "source": [ + "watcher = ww.WeightWatcher(model=model)\n", + "details = watcher.analyze(layers=[20])\n", + "details" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2018-10-01T22:51:12.554859Z", + "start_time": "2018-10-01T22:51:12.518859Z" + }, + "id": "fGDwKgn43ggC" + }, + "source": [ + "## 2.4 Plots" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2019-03-06T00:16:38.794143Z", + "start_time": "2019-03-05T23:52:25.030000Z" + }, + "id": "Totyyabq3ggC", + "outputId": "175d1ab0-b4e3-4a6b-efc2-f2efa325328a", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + } + }, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:\n", + "\n", + "python version 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]\n", + "numpy version 1.26.4\n", + "tensorflow version 2.17.0\n", + "\n", + "INFO:weightwatcher:\n", + "\n", + "python version 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]\n", + "numpy version 1.26.4\n", + "tensorflow version 2.17.0\n", + "\n", + "INFO:weightwatcher:Saving all images to ww-img\n", + "INFO:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': True, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []}\n", + "INFO:weightwatcher:Saving all images to ww-img\n", + "INFO:weightwatcher:Using \n", + "INFO:weightwatcher:tensorflow version 2.17.0\n", + "\n", + "INFO:weightwatcher:framework from model = keras\n", + "INFO:weightwatcher:keras layer: input_layer_1 type unknown not found \n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" 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\n" 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Ap199g3kFAKBsK5PBDgAAAIUR7AAAACxBsCtho0ePltPpVJ8+fUq7FAAAYBmCXQlLSEjQq6++qvfff1+7du0q7XIAAIBFPA52a9eu1b333quoqCg5HA598sknrvdyc3P1zDPPKDY2VhUrVlRUVJT69eunAwcOeLPmMi00NFQDBw5UuXLllJKSUtrlAAAAi3gc7E6dOqXGjRtrxowZhd7Lzs7Wli1blJiYqC1btujjjz/Wjh071L17d68Ua4tz584pKChIqamppV0KAACwiMcPKI6Li1NcXFyR74WGhmrFihVubW+88YZatGihvXv3qmbNmsWr0jJjxozRyZMnCXYAAMCrfP7NE5mZmXI4HAoLC/PNAMZI2dm+2fblBAVJHj77bfPmzZo1a5bi4+O9HuxWrVqlrVu36m9/+5tXtwsAAMoGnwa7M2fO6JlnnlHv3r0VEhJSZJ+cnBzl5OS4XmdlZXk2SHa2VKnS1ZRZfCdPShUrXnH3/Px8DRkyRMOHD1fLli318MMPKzc3V+XLl/dKOR07dlTHjh29sq2yqtboz4ps3zMpvkTWBwCgNPnsrtjc3Fw9+OCDMsZo5syZF+2XlJSk0NBQ11KjRg1flVTqpk+friNHjmjcuHGKjY1Vbm6utm/f7nq/TZs22rBhgyRp4MCBeu211yRJ3bt31xNPPKE77rhDt956q7777jv16NFD0dHR+vvf/+5av3v37kpJSdE999yj559/Xm3atFHt2rU55QsAwHXCJ8GuINT98ssvWrFixUWP1km/P/4jMzPTtaSnp3s2WFDQ70fOSmPx4Dtr9+/fr8TERM2YMUMVK1ZUnTp15HQ63UJXYmKiJk2apClTpqhcuXIaOXKkJCklJUWNGjXS+vXr1alTJz311FOaP3++Vq9erTlz5rjW3759u+rWravU1FTVrFlT33zzjUaMGKElS5Z4NqcAAKBM8vqp2IJQt3PnTq1evVpVqlS5ZH+n0ymn01n8AR0Oj06HlpYRI0YoLi5O8fG/n9Lz9/dXvXr13IJd165d9dxzz+mzzz7T8uXLJUknTpyQMUYDBw5021ZwcLAOHz7sCs0nTpxQYGCgTp8+LYfDoccee0zS75+Hz65vBAAA1xSPg93JkyfdHqyblpam77//XuHh4YqMjNRf/vIXbdmyRcuWLVNeXp4yMjIkSeHh4QoICPBe5WXIsmXLtGrVKv30009u7bGxsW7BbuPGjTp27Jiio6Nd191t27ZNzZs3d/VJSUnRs88+K0lKTU1VbGysq1+DBg2UmppaqP9f//pXn+0bAAC4dngc7DZt2qQOHTq4Xo8aNUqS1L9/f73wwgtaunSpJOm2225zW2/16tVq37598Sstw7p166bffvutUPs777zj+nn//v167LHHtGrVKt1///1KTU1Vw4YNXadhC+zbt0/Vq1eX9HtoKwh2BT+npqaqcePGrv7n9wEAAHbz+Bq79u3byxhTaJk7d65q1apV5HvGmOs21F2J06dP64EHHtD06dMVExOjhIQEjR8/XpLcgl16errbzSUXBruGDRsqNTXV1f/cuXM6fvz4ZU+HAwAAOziMMaa0izhfVlaWQkNDlZmZWeimizNnzigtLU0xMTEKDAwspQrtZcP88rgTALhOnTr1f48/8/BxZMVy7pS06I/xHjwp+ftuvEtlowv57HEnAAAAKFkEOwAAAEsQ7AAAACxBsAMAALAEwQ4AAMASBDsAAABLEOwAAAAsQbADAACwBMEOAADAEgQ7AAAASxDsAAAALEGwK2GjR4+W0+lUnz59SrsUAABgGYJdCUtISNCrr76q999/X7t27SrtcgAAgEUIdiUsNDRUAwcOVLly5ZSSklLa5QAAAIsQ7ErBuXPnFBQUpNTU1NIuBQAAWMS/tAu4asZIedmlM7ZfkORweLzamDFjdPLkSYIdAADwqrIf7PKypUWVSmfsB09K/hU9WmXz5s2aNWuW4uPjCXYAAMCrOBVbgvLz8zVkyBANHz5c/fr1086dO5Wbm1vaZQEAAEuU/SN2fkG/HzkrrbE9MH36dB05ckTjxo3T3r17lZubq+3btys2NlaS1KZNG02ZMkUtW7bUwIED1bBhQ40cOVLdu3dXTEyMNmzYoN9++03vvvuuJk6cqO+//17PPPOMhg4dKkmaP3++Xn/9dZ0+fVo1a9bUxx9/rI4dOxa5TQAAYJ+yf8TO4fj9dGhpLB5cX7d//34lJiZqxowZqlixourUqSOn0+l2OjYxMVGTJk3SlClTVK5cOVcAS0lJUaNGjbR+/Xp16tRJTz31lObPn6/Vq1drzpw5rvXj4uL03XffKSUlRVFRUVqzZs1FtwkAAOxT9oNdGTFixAjFxcUpPj5ekuTv76969eq5BbuuXbtq7969+uyzz/T3v/9dknTixAkZYzRw4EC3bQUHB8sYo5CQEEmSMUazZ89W8+bN1bhxY/3rX/9SYGBgkdsEAAB2ItiVgGXLlmnVqlWaNm2aW3tsbKxbsNu4caOOHTum0NBQlS9fXpK0bds2NW/e3NUnJSVFLVu2lCSlpqa6TuPOnTtX27dv19q1a/XDDz+ocuXKql+/fpHbBAAAdiLYlYBu3brpt99+U7Vq1dza33nnHS1ZskTS76dqH3vsMa1atUp79uxxBb6C07AF9u3bp+rVq7veKwh227ZtU5s2bVShQgXNmDFD2dnZOnv2bJHbBAAAdiLYXQNOnz6tBx54QNOnT1dMTIwSEhI0fvx4Se7BLj09XTVq1HCtd36we+SRR/Tyyy/rjjvuUFpamho2bHjRbQIAADs5jDGmtIs4X1ZWlkJDQ5WZmem6fqzAmTNnlJaWppiYGAUGBpZShfayYX5rjf6syPY9k+JLZH0AQCk5dUqq9MdzbU+elCp69pxZj5079X/P0S3Gc209calsdCGO2AEAAFiCYAcAAGAJgh0AAIAlCHYAAACWKJPB7hq738MazCsAAGVbmQp2BQ/Yzc7OLuVK7FQwrzzIGACAssm/tAvwhJ+fn8LCwnT48GFJUlBQkBwefF8rimaMUXZ2tg4fPqywsDD5+fmVdkkAAKAYylSwk+T69oaCcAfvCQsLK/TtGAAAoOwoc8HO4XAoMjJSERERys3NLe1yrFG+fHmO1AEAUMaVuWBXwM/PjyACAABwnjJ18wQAAAAujmAHAABgCYIdAACAJQh2AAAAliDYAQAAWIJgBwAAYAmCHQAAgCUIdgAAAJYg2AEAAFiCYAcAAGAJgh0AAIAlCHYAAACWINgBAABYgmAHAABgCYIdAACAJQh2AAAAliDYAQAAWMLjYLd27Vrde++9ioqKksPh0CeffOL2vjFGzz//vCIjI1WhQgV17txZO3fu9Fa9AAAAuAiPg92pU6fUuHFjzZgxo8j3X375Zb3++uuaNWuWNmzYoIoVK6pLly46c+bMVRcLAACAi/P3dIW4uDjFxcUV+Z4xRlOnTtWYMWPUo0cPSdI777yjqlWr6pNPPtFDDz10ddUCAADgorx6jV1aWpoyMjLUuXNnV1toaKhatmyp5ORkbw4FAACAC3h8xO5SMjIyJElVq1Z1a69atarrvQvl5OQoJyfH9TorK8ubJQEAAFw3Sv2u2KSkJIWGhrqWGjVqlHZJAAAAZZJXg121atUkSYcOHXJrP3TokOu9CyUkJCgzM9O1pKene7MkAACA64ZXg11MTIyqVaumlStXutqysrK0YcMGtWrVqsh1nE6nQkJC3BYAAAB4zuNr7E6ePKldu3a5Xqelpen7779XeHi4atasqSeffFITJkxQnTp1FBMTo8TEREVFRalnz57erBsAAAAX8DjYbdq0SR06dHC9HjVqlCSpf//+mjt3rp5++mmdOnVKgwcP1vHjx3XnnXdq+fLlCgwM9F7VAAAAKMTjYNe+fXsZYy76vsPh0Lhx4zRu3LirKgwAAACeKfW7YgEAAOAdBDsAAABLEOwAAAAsQbADAACwBMEOAADAEgQ7AAAASxDsAAAALEGwAwAAsATBDgAAwBIEOwAAAEsQ7AAAACxBsAMAALAEwQ4AAMASBDsAAABLEOwAAAAsQbADAACwBMEOAADAEgQ7AAAASxDsAAAALEGwAwAAsATBDgAAwBIEOwAAAEsQ7AAAACxBsAMAALAEwQ4AAMAS/qVdAAAAgDfVS1yu0wGBbm17JsWXUjUliyN2AAAAliDYAQAAWIJgBwAAYAmCHQAAgCUIdgAAAJYg2AEAAFiCYAcAAGAJgh0AAIAlCHYAAACWINgBAABYgmAHAABgCYIdAACAJQh2AAAAliDYAQAAWIJgBwAAYAmCHQAAgCUIdgAAAJYg2AEAAFiCYAcAAGAJgh0AAIAlCHYAAACWINgBAABYgmAHAABgCYIdAACAJQh2AAAAliDYAQAAWIJgBwAAYAmvB7u8vDwlJiYqJiZGFSpU0M0336zx48fLGOPtoQAAAHAef29vcPLkyZo5c6bmzZunBg0aaNOmTRowYIBCQ0M1YsQIbw8HAACAP3g92H377bfq0aOH4uPjJUm1atXS+++/r++++87bQwEAAOA8Xj8V27p1a61cuVL//e9/JUk//PCD1q1bp7i4OG8PBQAAgPN4/Yjd6NGjlZWVpbp168rPz095eXmaOHGi+vbtW2T/nJwc5eTkuF5nZWV5uyQAAIDrgteP2C1atEjvvfeeFixYoC1btmjevHl65ZVXNG/evCL7JyUlKTQ01LXUqFHD2yUBAABcF7we7J566imNHj1aDz30kGJjY/XII49o5MiRSkpKKrJ/QkKCMjMzXUt6erq3SwIAALgueP1UbHZ2tsqVc8+Lfn5+ys/PL7K/0+mU0+n0dhkAAADXHa8Hu3vvvVcTJ05UzZo11aBBA23dulVTpkzRX//6V28PBQAAgPN4PdhNnz5diYmJGjp0qA4fPqyoqCgNGTJEzz//vLeHAgAAwHm8HuyCg4M1depUTZ061dubBgAAwCXwXbEAAACWINgBAABYgmAHAABgCYIdAACAJQh2AAAAliDYAQAAWIJgBwAAYAmCHQAAgCUIdgAAAJYg2AEAAFiCYAcAAGAJgh0AAIAlCHYAAACWINgBAABYgmAHAABgCYIdAACAJQh2AAAAliDYAQAAWIJgBwAAYAmCHQAAgCUIdgAAAJYg2AEAAFiCYAcAAGAJgh0AAIAlCHYAAACWINgBAABYgmAHAABgCYIdAACAJQh2AAAAliDYAQAAWIJgBwAAYAmCHQAAgCUIdgAAAJYg2AEAAFiCYAcAAGAJgh0AAIAlCHYAAACWINgBAABYgmAHAABgCYIdAACAJQh2AAAAliDYAQAAWIJgBwAAYAmCHQAAgCUIdgAAAJYg2AEAAFiCYAcAAGAJgh0AAIAlCHYAAACWINgBAABYgmAHAABgCYIdAACAJQh2AAAAlvBJsNu/f78efvhhValSRRUqVFBsbKw2bdrki6EAAADwB39vb/C3335TmzZt1KFDB33xxRe68cYbtXPnTlWuXNnbQwEAAOA8Xg92kydPVo0aNTRnzhxXW0xMjLeHAQAAwAW8fip26dKlatasmR544AFFRESoSZMmmj17treHAQAAwAW8fsRu9+7dmjlzpkaNGqVnn31WGzdu1IgRIxQQEKD+/fsX6p+Tk6OcnBzX66ysLG+XBB+pNfqzItv3TIov4UoAAIDkg2CXn5+vZs2a6aWXXpIkNWnSRKmpqZo1a1aRwS4pKUkvvviit8sAAAC47nj9VGxkZKTq16/v1lavXj3t3bu3yP4JCQnKzMx0Lenp6d4uCQAA4Lrg9SN2bdq00Y4dO9za/vvf/yo6OrrI/k6nU06n09tlAAAAXHe8fsRu5MiRWr9+vV566SXt2rVLCxYs0FtvvaVhw4Z5eygAAACcx+vBrnnz5lq8eLHef/99NWzYUOPHj9fUqVPVt29fbw8FAACA83j9VKwkdevWTd26dfPFpgEAAHARfFcsAACAJQh2AAAAliDYAQAAWIJgBwAAYAmCHQAAgCUIdgAAAJYg2AEAAFiCYAcAAGAJgh0AAIAlCHYAAACWINgBAABYgmAHAABgCYIdAACAJQh2AAAAliDYAQAAWIJgBwAAYAmCHQAAgCUIdgAAAJYg2AEAAFiCYAcAAGAJgh0AAIAlCHYAAACWINgBAABYgmAHAABgCYIdAACAJQh2AAAAliDYAQAAWIJgBwAAYAmCHQAAgCUIdgAAAJYg2AEAAFiCYAcAAGAJgh0AAIAlCHYAAACWINgBAABYgmAHAABgCYIdAACAJQh2AAAAliDYAQAAWIJgBwAAYAmCHQAAgCUIdgAAAJYg2AEAAFiCYAcAAGAJgh0AAIAlCHYAAACWINgBAABYgmAHAABgCYIdAACAJQh2AAAAliDYAQAAWIJgBwAAYAmCHQAAgCV8HuwmTZokh8OhJ5980tdDAQAAXNd8Guw2btyoN998U40aNfLlMAAAAJAPg93JkyfVt29fzZ49W5UrV/bVMAAAAPiDz4LdsGHDFB8fr86dO1+yX05OjrKystwWAAAAeM7fFxtduHChtmzZoo0bN162b1JSkl588UVflAEAAHBd8foRu/T0dD3xxBN67733FBgYeNn+CQkJyszMdC3p6eneLgkAAOC64PUjdps3b9bhw4d1++23u9ry8vK0du1avfHGG8rJyZGfn5/rPafTKafT6e0yAAAArjteD3adOnVSSkqKW9uAAQNUt25dPfPMM26hDgAAAN7j9WAXHByshg0burVVrFhRVapUKdQOAAAA7+GbJwAAACzhk7tiL7RmzZqSGAYAAOC6xhE7AAAASxDsAAAALEGwAwAAsATBDgAAwBIEOwAAAEsQ7AAAACxBsAMAALAEwQ4AAMASBDsAAABLEOwAAAAsQbADAACwBMEOAADAEgQ7AAAASxDsAAAALEGwAwAAsATBDgAAwBIEOwAAAEsQ7AAAACxBsAMAALAEwQ4AAMASBDsAAABLEOwAAAAsQbADAACwBMEOAADAEgQ7AAAAS/iXdgGlrdboz7y+zT2T4r2+zZLkizkp64qak6I+5yvtBwDXsov9O1BSf/c82WZB3wpnz+inqxr10uNfqILjjH6K9dKAXsQROwAAAEsQ7AAAACxBsAMAALAEwQ4AAMASBDsAAABLEOwAAAAsQbADAACwBMEOAADAEgQ7AAAASxDsAAAALEGwAwAAsATBDgAAwBIEOwAAAEsQ7AAAACxBsAMAALAEwQ4AAMASBDsAAABLEOwAAAAsQbADAACwBMEOAADAEgQ7AAAASxDsAAAALEGwAwAAsATBDgAAwBIEOwAAAEsQ7AAAACxBsAMAALCE14NdUlKSmjdvruDgYEVERKhnz57asWOHt4cBAADABbwe7L766isNGzZM69ev14oVK5Sbm6u7775bp06d8vZQAAAAOI+/tze4fPlyt9dz585VRESENm/erLvuusvbwwEAAOAPXg92F8rMzJQkhYeHF/l+Tk6OcnJyXK+zsrJ8XRIAAICVfHrzRH5+vp588km1adNGDRs2LLJPUlKSQkNDXUuNGjV8WRIAAIC1fBrshg0bptTUVC1cuPCifRISEpSZmela0tPTfVkSAACAtXx2Knb48OFatmyZ1q5dq+rVq1+0n9PplNPp9FUZAAAA1w2vBztjjB5//HEtXrxYa9asUUxMjLeHAAAAQBG8HuyGDRumBQsWaMmSJQoODlZGRoYkKTQ0VBUqVPD2cAAAAPiD16+xmzlzpjIzM9W+fXtFRka6lg8++MDbQwEAAOA8PjkVCwAAgJLHd8UCAABYgmAHAABgCYIdAACAJQh2AAAAliDYAQAAWIJgBwAAYAmCHQAAgCUIdgAAAJYg2AEAAFiCYAcAAGAJgh0AAIAlCHYAAACWINgBAABYgmAHAABgCYIdAACAJQh2AAAAliDYAQAAWIJgBwAAYAmCHQAAgCUIdgAAAJYg2AEAAFiCYAcAAGAJgh0AAIAlCHYAAACWINgBAABYgmAHAABgCYIdAACAJQh2AAAAliDYAQAAWIJgBwAAYAmCHQAAgCUIdgAAAJYg2AEAAFiCYAcAAGAJgh0AAIAlCHYAAACWINgBAABYgmAHAABgCYIdAACAJQh2AAAAliDYAQAAWIJgBwAAYAmCHQAAgCUIdgAAAJYg2AEAAFiCYAcAAGAJgh0AAIAlCHYAAACWINgBAABYgmAHAABgCYIdAACAJQh2AAAAliDYAQAAWMJnwW7GjBmqVauWAgMD1bJlS3333Xe+GgoAAADyUbD74IMPNGrUKI0dO1ZbtmxR48aN1aVLFx0+fNgXwwEAAEA+CnZTpkzRoEGDNGDAANWvX1+zZs1SUFCQ3n77bV8MBwAAAEn+3t7g2bNntXnzZiUkJLjaypUrp86dOys5OblQ/5ycHOXk5LheZ2ZmSpKysrK8XVqR8nOyvb7NkqrdV652Tkpz/y9W+5XW5Mm+F7XNotYv678PAK4/nvwt9cXfPU+2WdA37+wZFfTIy8lWvskvdk1X8m9BnuOMsgq6ZWVJ/nlXvH1PFdRujLl8Z+Nl+/fvN5LMt99+69b+1FNPmRYtWhTqP3bsWCOJhYWFhYWFhYXlEkt6evplc5jXj9h5KiEhQaNGjXK9zs/P17Fjx1SlShU5HI5SrOzKZWVlqUaNGkpPT1dISEhpl2MN5tU3mFffYF59g3n1DebVN3w1r8YYnThxQlFRUZft6/Vgd8MNN8jPz0+HDh1yaz906JCqVatWqL/T6ZTT6XRrCwsL83ZZJSIkJIT/QHyAefUN5tU3mFffYF59g3n1DV/Ma2ho6BX18/rNEwEBAWratKlWrlzpasvPz9fKlSvVqlUrbw8HAACAP/jkVOyoUaPUv39/NWvWTC1atNDUqVN16tQpDRgwwBfDAQAAQD4Kdr169dKvv/6q559/XhkZGbrtttu0fPlyVa1a1RfDlTqn06mxY8cWOqWMq8O8+gbz6hvMq28wr77BvPrGtTCvDmOu5N5ZAAAAXOv4rlgAAABLEOwAAAAsQbADAACwBMEOAADAEgS7Yjh27Jj69u2rkJAQhYWFaeDAgTp58uRl10tOTlbHjh1VsWJFhYSE6K677tLp06dLoOKyobjzKv3+VO64uDg5HA598sknvi20DPJ0bo8dO6bHH39ct956qypUqKCaNWtqxIgRru9yvl7NmDFDtWrVUmBgoFq2bKnvvvvukv0//PBD1a1bV4GBgYqNjdXnn39eQpWWLZ7M6+zZs9W2bVtVrlxZlStXVufOnS/7OVyvPP19LbBw4UI5HA717NnTtwWWUZ7O6/HjxzVs2DBFRkbK6XTqlltu8e3fAq98Qex1pmvXrqZx48Zm/fr15uuvvzZ/+tOfTO/evS+5zrfffmtCQkJMUlKSSU1NNdu3bzcffPCBOXPmTAlVfe0rzrwWmDJliomLizOSzOLFi31baBnk6dympKSY++67zyxdutTs2rXLrFy50tSpU8fcf//9JVj1tWXhwoUmICDAvP3222bbtm1m0KBBJiwszBw6dKjI/t98843x8/MzL7/8svnxxx/NmDFjTPny5U1KSkoJV35t83Re+/TpY2bMmGG2bt1qfvrpJ/Poo4+a0NBQs2/fvhKu/Nrm6bwWSEtLMzfddJNp27at6dGjR8kUW4Z4Oq85OTmmWbNm5p577jHr1q0zaWlpZs2aNeb777/3WY0EOw/9+OOPRpLZuHGjq+2LL74wDofD7N+//6LrtWzZ0owZM6YkSiyTijuvxhizdetWc9NNN5mDBw8S7IpwNXN7vkWLFpmAgACTm5vrizKveS1atDDDhg1zvc7LyzNRUVEmKSmpyP4PPvigiY+Pd2tr2bKlGTJkiE/rLGs8ndcLnTt3zgQHB5t58+b5qsQyqTjzeu7cOdO6dWvzj3/8w/Tv359gVwRP53XmzJmmdu3a5uzZsyVVouFUrIeSk5MVFhamZs2audo6d+6scuXKacOGDUWuc/jwYW3YsEERERFq3bq1qlatqnbt2mndunUlVfY1rzjzKknZ2dnq06ePZsyYUeR3EaP4c3uhzMxMhYSEyN/fJ881v6adPXtWmzdvVufOnV1t5cqVU+fOnZWcnFzkOsnJyW79JalLly4X7X89Ks68Xig7O1u5ubkKDw/3VZllTnHnddy4cYqIiNDAgQNLoswypzjzunTpUrVq1UrDhg1T1apV1bBhQ7300kvKy8vzWZ0EOw9lZGQoIiLCrc3f31/h4eHKyMgocp3du3dLkl544QUNGjRIy5cv1+23365OnTpp586dPq+5LCjOvErSyJEj1bp1a/Xo0cPXJZZZxZ3b8x05ckTjx4/X4MGDfVHiNe/IkSPKy8sr9O05VatWvegcZmRkeNT/elSceb3QM888o6ioqEIh+npWnHldt26d/vnPf2r27NklUWKZVJx53b17tz766CPl5eXp888/V2Jiol599VVNmDDBZ3US7P4wevRoORyOSy7bt28v1rbz8/MlSUOGDNGAAQPUpEkTvfbaa7r11lv19ttve3M3rjm+nNelS5dq1apVmjp1qneLLiN8Obfny8rKUnx8vOrXr68XXnjh6gsHvGTSpElauHChFi9erMDAwNIup8w6ceKEHnnkEc2ePVs33HBDaZdjlfz8fEVEROitt95S06ZN1atXLz333HOaNWuWz8a8/s6pXMTf/vY3Pfroo5fsU7t2bVWrVk2HDx92az937pyOHTt20VOBkZGRkqT69eu7tderV0979+4tftFlgC/nddWqVfr5558VFhbm1n7//ferbdu2WrNmzVVUfu3z5dwWOHHihLp27arg4GAtXrxY5cuXv9qyy6QbbrhBfn5+OnTokFv7oUOHLjqH1apV86j/9ag481rglVde0aRJk/S///u/atSokS/LLHM8ndeff/5Ze/bs0b333utqKzgg4e/vrx07dujmm2/2bdFlQHF+XyMjI1W+fHn5+fm52urVq6eMjAydPXtWAQEB3i+0xK7ms0TBheibNm1ytX355ZeXvBA9Pz/fREVFFbp54rbbbjMJCQk+rbesKM68Hjx40KSkpLgtksy0adPM7t27S6r0a15x5tYYYzIzM80dd9xh2rVrZ06dOlUSpV7TWrRoYYYPH+56nZeXZ2666aZL3jzRrVs3t7ZWrVpx88QFPJ1XY4yZPHmyCQkJMcnJySVRYpnkybyePn260N/SHj16mI4dO5qUlBSTk5NTkqVf0zz9fU1ISDDR0dEmLy/P1TZ16lQTGRnpsxoJdsXQtWtX06RJE7Nhwwazbt06U6dOHbdHR+zbt8/ceuutZsOGDa621157zYSEhJgPP/zQ7Ny504wZM8YEBgaaXbt2lcYuXJOKM68XEnfFFsnTuc3MzDQtW7Y0sbGxZteuXebgwYOu5dy5c6W1G6Vq4cKFxul0mrlz55off/zRDB482ISFhZmMjAxjjDGPPPKIGT16tKv/N998Y/z9/c0rr7xifvrpJzN27Fged1IET+d10qRJJiAgwHz00Uduv5cnTpworV24Jnk6rxfirtiieTqve/fuNcHBwWb48OFmx44dZtmyZSYiIsJMmDDBZzUS7Irh6NGjpnfv3qZSpUomJCTEDBgwwO2PSlpampFkVq9e7bZeUlKSqV69ugkKCjKtWrUyX3/9dQlXfm0r7ryej2BXNE/ndvXq1UZSkUtaWlrp7MQ1YPr06aZmzZomICDAtGjRwqxfv971Xrt27Uz//v3d+i9atMjccsstJiAgwDRo0MB89tlnJVxx2eDJvEZHRxf5ezl27NiSL/wa5+nv6/kIdhfn6bx+++23pmXLlsbpdJratWubiRMn+vR/kB3GGOP9E7wAAAAoadwVCwAAYAmCHQAAgCUIdgAAAJYg2AEAAFiCYAcAAGAJgh0AAIAlCHYAAACWINgBAABYgmAHAABgCYIdAACAJQh2AAAAliDYAQAAWOL/AwfK9HllLg0JAAAAAElFTkSuQmCC\n" 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\n" 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" 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\n" 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\n" 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\n" 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:keras layer: block1_pool type unknown not found \n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" 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\n" 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\n" 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\n" 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" 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\n" 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\n" 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\n" 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:keras layer: block2_pool type unknown not found \n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" 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\n" 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\n" 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\n" 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" 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\n" 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\n" 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\n" 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" 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\n" 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\n" 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\n" 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:keras layer: block3_pool type unknown not found \n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" 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\n" 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\n" 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\n" 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" 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\n" 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\n" 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\n" 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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Tpk1Nv379zPTp04uUBCnLcSqp/EhycrKZMGGCCQ0NNYGBgaZr166eEiKnxnG6sisl7e9M30tCQoKJiooyDRo0MKGhoeaOO+4wP/zwQ5EyJoUdPHjQ+Pv7m/POO6/U/W7ZssVce+215qyzzjJBQUGmbdu25oYbbjBr1671tMkvd3L48OEyf54BAwaU+nk+//zzItvu3bu3adKkiQkICDDh4eHmpptuMlu3bi3zvgCncRnj5UqRAGqUe++9VwsXLlR6erpnyM4uR48eVZMmTTR79mw98sgjtsZS26WkpKhly5aaMWOG/va3v9kdDoAy4ho7oBYpXMZEsiYrLF26VBdffHG1J3WnxiIVXJs3cODAao0FxS1evFi5ubkaO3as3aEAKAeusQNqkf79+2vgwIHq1KmTkpOT9dprryktLc2WHpnly5dr8eLFuvLKK9WgQQN9/fXXevvtt3X55ZeXem9XVL1169YpISFBc+bM0ahRoyp131YA1Y+hWKAWefjhh7Vy5Ur99ttvcrlc6tmzp2bOnGlLyYrNmzfroYceUnx8vNLS0hQWFqbrrrtOs2fPLlYDDdVn4MCB+uabb/SnP/1Jb775pufesABqBhI7AAAAh+AaOwAAAIcgsQMAAHAIEjsAAACHILEDAABwCBI7AKhiJ06cUJ06ddS4cWPNmjXL7nAAOBiJHRzjxx9/1OjRo3XOOecoODhYoaGhuvTSS8t1z8qsrCxNnTpV4eHhqlevnvr166dPP/20SJvx48fL5XKV+ti/f3+x7W7evFkjRoxQ06ZNFRwcrC5duuiFF16o8Gf9+OOPi+wzICBAzZs3V1RUlBYvXqy8vLwKb7u6lOVYe+P9ZT0vKvK9llVOTo5effVVtW3bVo8//niJN6+vSarru8t3pt9PbGysJk2apM6dO6t+/fpq06aNbrjhBu3cubNSn7O6VOZ4pqena+bMmbriiivUtGlTuVwuLV68uMS2ZT1OVflbQNWjQDEcY+/evTp27Jiio6MVHh6uzMxMvfPOOxoxYoQWLlyoO++884zbGD9+vFauXKl7771XHTt29BTQ/fzzz3XxxRdLkv7yl78Uq/tmjNFdd92ldu3aFav79cknn2j48OHq0aOH/va3v6lBgwb65Zdf9Ntvv1X4s/7www+SpHnz5qlZs2bKycnRgQMH9MEHH2jChAlasWKFVq1apTp16lR4H1WtLMfaG+8v63lR3u+1PBo0aKDo6GgFBATo1ltv1datW22pHegt1fXdSWX7/fzf//2fNmzYoNGjR6tbt25KSkrSiy++qJ49e+rbb79Vly5dvH4MvKkyxzMlJUWPP/642rRpo8jISH3xxRelti3rcarK3wKqgW13qQWqQU5OjomMjDTnn3/+Gdtu2rSp2M3Xjx8/bjp06GD69+9/2vd+9dVXRpKZM2dOkeWpqakmLCzMXHPNNSY3N7diH6IEt9xyi6lbt67Jyckptu7hhx82ksyzzz7rtf15W2WOtTfeX9bzorTvtaK2bNliJJkXXnjBK9uzQ3V+d2X9/WzYsMFkZWUVWbZz504TFBRkbrnllrJ+NFtU9nieOHHCHDx40BhjTGxsrJFkXn/99RLbVuY4efu3gKpDYocq8a9//cv06NHD1K1b11xwwQXm008/NXl5eSYiIsLMnj27WmO5+uqrTVhY2BnbPfjgg8bf39+kpqYWWf7kk08aSebXX38t9b0TJ040LpfLJCYmFln+z3/+00gyCQkJxhhj0tPTS/0HaseOHWbv3r1njNMYY7p06WJ69OhR4rqsrCzTuHFj07NnzzJtyw6VOdbeeL8xZTsvSvtejSnf95Vv48aNRpK56667yvU+X1Kd3115fj8l6dmzZ7l+BwsXLjQ9evQw9erVM5KKPNq3b1/m7ZSHN87lfGdK7EpTluN0ut8CfAvX2MHrHn30Ud10002KjIzUM888o9zcXI0bN04ffvihfvvtN02aNKnYe06ePKmUlJQyPc50/VhGRoZSUlL0yy+/6LnnntNHH32kIUOGnDHuLVu26LzzzlNISEiR5X379pUkxcfHl/i+kydP6t///rcuuuiiYvfV/OyzzxQSEqL9+/fr/PPPV4MGDRQSEqKJEyfqxIkTRdp26tRJ48aNO2Oc2dnZ+vnnn9WtW7cS1wcGBqpr1676+eefz7itivDGd1XRY12Z95f3vDjd9yqV/fsq7P7775ck7dixo1zv85aa9t2V5/dzKmOMkpOTFRoaetp2+e677z795S9/UbNmzfR///d/euihhzyXMlx99dUlfte+cDwrqyzH6Uy/BfgWrrGDV3311VeaM2eOpk6dqqeeekqS1KJFC11//fWaNm2aJk6cqEaNGhV734YNGzRo0KAy7SMxMfG0f1zuv/9+LVy4UJLk5+ena6+9Vi+++OIZt3vw4EG1bNmy2PL8ZQcOHCjxfR9//LF+//133XLLLcXW7dq1Szk5ORo5cqRuu+02zZ07V1988YUWLFigo0eP6u233z5jXKdKSEjQyZMn1bVr11Lb+Pn5VdkECm98VxU91pV5f3nPi9N9rxXx5ptv6ptvvlHz5s1tS+xq2ndXmd/PsmXLtH//fj3++OOnjUey/m7Nnz9fEydO1D/+8Q/P8vr162vmzJmaMWOG+vTpU+x9vnA8K6ssx8nbvwVULRI7eNXzzz+vJk2a6NFHH/Usy/9jtnv3bt13330lvi8yMrLMs8BatGhx2vX33nuvrr/+eh04cED//ve/lZubq+zs7DNu9/jx4woKCiq2vG7dup71JXnrrbdUp04d3XDDDcXWpaenKzMzU3fddZdnFt+1116r7OxsLVy4UI8//rg6duwoyfo/57LYunWrJJXaYydZF1Sf6ThVlDe+q4oe68q8v7znxem+V6ns35dknQdTp07VsGHD1LlzZz3zzDM6cuSImjZtWuZtFJaVlaU2bdpo165dxXp6TqemfXfl+f0U9tNPPykmJkb9+/dXdHT0aeORpOeee05NmzbV008/XWT5gAEDJEk7d+4sMbHzheNZGWU9Tmf6LcC3kNjBa3Jzcz0z2Bo0aFBs/YQJExQWFlbie5s0aeK1WYIXXHCBLrjgAknSuHHjdPnll2v48OHatGmTXC5Xqe+rV6+esrKyii3PH/KpV69esXXp6el67733NHToUJ111lklblOSxowZU2T5zTffrIULF2rjxo0l/sN0OvkzYkvrscvMzNTPP/+s0aNHe5bt2bNHHTp00LFjxxQcHKzjx49r7Nix+uOPP/TOO++ocePGevnll/XCCy9o7969qlevni699FKtXLmy2Pa98V1V5FhX9v3lOS/O9L2W15NPPqmUlBQ9//zz+vrrryVZPa9lmUFakqCgICUnJ5f7fTXtu6vI7ycpKUlXXXWVGjVqpJUrV8rf3/+08eTk5OjTTz/VyJEjVb9+/SLr8hP/0pJnXzieFVXW4+Tt3wKqHokdvOZ///ufjh07pp49exZZfvjwYUlSTExMqe/Nzs7WkSNHyrSfZs2anfGPdWHXX3+9/vKXv2jnzp06//zzS23XsmXLEuszHTx4UJIUHh5ebN2qVauUmZlZ6hBFeHi4fvzxx2IJbfPmzSVJf/zxR5k/R76tW7eqWbNmpfYA/Pvf//YMX+X74Ycf1LFjRwUHByspKUkjRoxQt27d9Pbbb6tOnTp68cUX9dprr2nFihW64IIL9Ntvv2nt2rUlbt8b31VFjrU33y+d/rw40/daHr/88ovmzZun+++/Xx07dvR85zt27KhwYldRNe27K+/vJzU1VcOGDdPRo0f11Vdflek82LNnj9LT00ssiRIXFyfJup6yJL5wPCuiPMfJm78FVA8mT8Br8hO4Uy/CnTt3bonLC/vmm2/UsmXLMj327dtXrrjyhzJSU1NP26579+7auXOn0tLSiizftGmTZ/2pli1bpgYNGmjEiBElbrNXr16SVOwPd/51M82aNTvzBzjF1q1bS+2tS01N1cyZM3XOOefouuuu8yz/4YcfFBkZqW3btql///669tpr9eqrr3ouDl+8eLH++te/qlOnTnK5XGrdurXGjx9f4j688V1V5Fh78/3S6c+LM32v5TFlyhQ1a9ZMjzzyiKSCJCEhIcHT5vnnn9d1112nMWPGqGHDhrrooouUlJSkmJgYNWnSRN26dStyrdXzzz+v2267TZL07LPP6qabbtLYsWPVqFEjRURE6Jdffikxlpr23ZXn93PixAkNHz5cO3fu1AcffKCIiIjTxpHv2LFjkqxJR4UZY7RixQp17txZ5557bonv9YXjWV7lPU7e/C2gmtg6JxeOsn37diPJPPDAA55ly5Yt85QL2LNnT6nvPXLkiPn000/L9Dh+/HiJ20hOTi62LDs72/Ts2dPUq1fPHDt2zBhjTEZGhtmxY4c5fPhwkbbffvttsXpSJ06cMOeee67p169fsW0fOnTIBAQEmLFjx5b6uTZv3mwkmZtvvrnI8jFjxpiAgACzf//+Ut9bkoMHDxpJ5t577y22bu/evaZPnz4mICDArF+/vsi6a6+91gwePNiEhYWZFStWFHvvn/70J9O7d2/z3nvvFSu7cCpvfFflOdYlfV/leX9Zz4t8Zfley2rNmjVGkvnXv/5VZHnr1q3N0KFDPa///Oc/m1atWpnY2FiTmZlpIiMjTUREhPnss8/MyZMnzeWXX26eeuqpIu3nz59vjDEmOjratG7d2nz77bcmJyfHjB492jz88MMlxlPTvruy/n5ycnLMiBEjTEBAgFm9enWJcZcmJSXFSDLDhg0rsnzevHlGknnzzTdLfa8vHM/CzlTupLzHyZu/BVQfEjt4TW5urmnfvr0JDAw0M2bMMLNmzTJ169Y1N9xwg5Fkxo8fb7Zu3Vpl+x81apQZPHiwmTVrlnnllVfME088YS644IJixXo///xzI8nMnDmz2DZGjx5tAgICzIMPPmgWLlxoLrroIhMQEGC+/PLLYm0XLFhgJJk1a9acNq4///nPRpK54YYbjNvtNqNHjzaSzPTp04u0k2QGDBhw2m3lJwrR0dFm6dKlZsmSJWbevHnmhhtuMEFBQaZp06YlxtOhQwfTpEkTc8cdd5S43V9//dXcddddpnnz5iYoKMjcfvvtxQqZeltZj3Vp31dZ31/W8yJfWb/XM31f2dnZ5oILLjCDBg0qtm7o0KGmTZs2nte9e/c2ixYtKhLz448/7nl9zz33FCkM27t3b7Nu3TpjjFWD7LXXXvOse/jhh4udW95WXd+dMWX7/UyePNlIMsOHDzdLly4t9jiTUaNGeRJIt9ttxowZYySZ22+/vWIHqJwqezwXLFhgnnjiCTNx4kQjyVx77bXmiSeeME888YQ5evSop115j1NZfwvwLSR28KotW7aYCy+80AQFBZkmTZqYRx55xOTl5Zk///nPJiAgwCxevLjK9v3222+bqKgoExYWZgICAkyTJk1MVFSUee+994q0O11id/z4cfPAAw+YFi1amKCgINOnT59S/6hdeOGFpnnz5iXe/aGw7OxsM2vWLNO2bVtTp04dc+6555rnnnuuSJtjx44ZSeamm2467bb+/ve/FymaWrduXRMeHm6GDh1q5s2bZ9LS0oq959ixY8blcpmvv/7anHXWWcWOR2G5ubnmk08+MXXr1jXLli07bSyVVdZjXdr3Vdb3l/W8yFeW77Us39e8efNMQECA2b59e7F1U6ZMMS6Xyxw7dszk5uaa4OBgz90DjDHm/PPPN7GxsZ7XQ4cONStXrjTGGE/7lJQUk5OTY+rWrWsOHDjgaTty5EizZMmSUuPyhur67owp2+9nwIABxQoKF36cyR9//GHGjx9vmjRpYoKCgkyPHj2KJMtVrbLHs23btqV+9sIFhct7nMr6Nw6+hcQO8AGrV682LperSno0N2zYYEJDQz37adKkidm1a9dp39O2bVvzyiuveD0Wp/Dm9/Xzzz+b5s2be15nZmaawMDAIkN3LVu2NDt37vS0b9mypTHGmJ9++qnIe40xpn379mbLli2VjgtAzcTkCcAHfP7557rppptOW3S4on744QdPzbsrr7xSkyZN0jXXXKOMjAxJ1uSWTZs26eTJk0pPT9ecOXOUkZFRZFYtivLm97V161ZFRkZ6Xv/444/q0KGDp45ZSkqKUlNT1aFDB0/7/O9z27ZtRd577Ngx7d+/v8wTBwA4D+VOAB9wamFUbyqc2EnSrFmztGnTJt1+++16++239ccff+iWW25RUlKSQkJCdOmll2rjxo0VmrFbW3jz+zo1OSvpdefOneXn5+d5XVpit337dp133nnFZngCqD1cxpSjfDoAAAB8FkOxAAAADkFiBwAA4BAkdgAAAA5BYgcAAOAQJHYAAAAOQWIHAADgECR2AAAADkFiBwAA4BAkdgAAAA5BYgcAAOAQJHYAAAAOQWIHAADgECR2AAAADkFiBwAA4BAkdgAAAA5BYgcAAOAQJHYAAAAOQWIHAADgECR2AAAADkFiBwAA4BAkdgAAAA5BYgcAAOAQJHYAAAAOQWIHAADgECR2AAAADhFgdwDelpeXpwMHDqhhw4ZyuVx2hwMAAFApxhgdO3ZM4eHh8vM7fZ+c4xK7AwcOqHXr1naHAQAA4FX79u1Tq1atTtvGMYmd2+2W2+1WTk6OJOvDh4SE2BwVAMCrMjKk8HDr+YEDUv369sYDVIO0tDS1bt1aDRs2PGNblzHGVENM1SYtLU2NGjVSamoqiR0AOE1GhtSggfU8PZ3EDrVCeXIbJk8AAAA4BIkdAACAQ5DYAQAAOIRjJk8AAADfkZeXp+zsbLvDqBHq1Kkjf39/r2yLxA4AAHhVdna2EhMTlZeXZ3coNUbjxo3VokWLStfgJbEDAABeY4zRwYMH5e/vr9atW5+xoG5tZ4xRZmamDh06JElq2bJlpbZHYgcAALwmJydHmZmZCg8PV3BwsN3h1Aj16tWTJB06dEjNmzev1LAsaTQAAPCa3NxcSVJgYKDNkdQs+UnwyZMnK7UdEjsAAOB13K+9fLx1vEjsAAAAHILEDgAAwCEck9i53W5FRESoT58+docCAABqqGnTpikoKEg333yz3aFUiGMSu5iYGCUkJCg2NtbuUAAAQA01ffp0Pfvss3r77be1e/duu8MpN8qdeFm7aauLLdvz1FU2RAIAAMqrUaNGuu222zR58mRt27ZN5557rt0hlYtjeuwAAAC8IScnR8HBwdq+fbvdoZQbPXY2oWcPAADf9Oijjyo9PZ3EDgAAoAhjpMxMe/YdHCyVsz5cXFycXnrpJV111VUVTuzWrVunLVu26P7776/Q+yuDxA4AAFSdzEypQQN79p2eLtWvX+bmeXl5+stf/qJJkyapX79+uvXWW3Xy5EnVqVOnXLsdPHiwBg8eXN5ovYLErhJKGk4FAAA104IFC5SSkqLHH39cv/76q06ePKmffvpJXbt2lSSNGDFC7du316ZNm/THH39o6dKlmjNnjuLj4zV16lTdfffdnnZz5szR1KlT1bt3b61du1YHDx7Uf//7X3Xp0qVKPwOJnQ/hujsAgOMEB1s9Z3btu4z279+vv/3tb3r77bdVv359dezYUUFBQdq+fbsnsdu2bZtGjhyp559/XnfffbcefPBBffDBBzp8+LBuvPFGT2L3008/6YILLtD27dt17bXXasOGDZo/f77ee+89EjuUjCQQAFAjuFzlGg61y1//+lcNGzZMV11l/VsaEBCgTp06ea6zO3bsmIwxuu2224q8p2HDhjp06JBCQkI87erWravjx4/L5XLp9ttvlySdPHlSjRs3rvLPQbkTAABQq33wwQdat26dnn/++SLLu3bt6knsfvzxxyJ3t9q2bZv69esnSUV69X788Ud17txZ27dvL9a+c+fOVf1R6LGrDlyLBwCA77r66qv1xx9/FFv+xhtveJ5v27ZN3bp187z+7bff1KpVK8+6wsO1+QlhZGRkkffnt6lK9NgBAACcQeHEbt++fWrdunWRdYUTuy5dumj79u2e9jk5OTp69KjOOuusKo/TZYwxVb6XapSWlqZGjRopNTXVM95dVWpCTxzX3QFwlIyMgtIZ5Sxlgepx4sQJJSYmqn379qpbt67d4dQYpztu5cltGIqthZh4AQCAM5HYOVxZexVJ9gAAqPl87hq7ffv2aeDAgYqIiFC3bt20YsUKu0MCAACoEXyuxy4gIEDz589X9+7dlZSUpF69eunKK69Ufa6jAAAAOC2fS+xatmypli1bSpJatGih0NBQHTlyhMTOIRjyBQCg6ng9sVu/fr2efvppxcXF6eDBg3r33Xc1atSoIm3cbreefvppJSUlKTIyUgsWLFDfvn2LbSsuLk65ublFphSj+pRn1i/JGQCgMIcV3ahy3jpeXr/GLiMjQ5GRkXK73SWuX758uaZMmaKZM2dq8+bNioyM1NChQ3Xo0KEi7Y4cOaJx48bp5Zdf9naIAACgivj7+0uSsrOzbY6kZsnMzJQk1alTp1Lb8XqP3bBhwzRs2LBS18+bN0933HGHJkyYIEl66aWXtHr1ai1atEjTpk2TJGVlZWnUqFGaNm2aLrrootPuLysrS1lZWZ7XaWlpXvgUKC+GWAEAknWtfHBwsA4fPqw6derIz8/n5mn6FGOMMjMzdejQITVu3NiTGFdUtV5jl52drbi4OE2fPt2zzM/PT1FRUdq4caMk6wOOHz9egwcP1tixY8+4zblz5+qxxx6rspgBAEDZuVwutWzZUomJidq7d6/d4dQYjRs3VosWLSq9nWpN7FJSUpSbm6uwsLAiy8PCwvTTTz9JkjZs2KDly5erW7duWrVqlSRp6dKlpd5fbfr06ZoyZYrndVpaGtfkAQBgo8DAQHXs2JHh2DKqU6dOpXvq8vncrNiLL75YeXl5ZW4fFBSkoKCgKowIFVUTbrkGAKgafn5+3FLMBtWa2IWGhsrf31/JyclFlicnJ1e6+9Htdsvtdis3N7dS20H14/o8AAC8o1oTu8DAQPXq1Utr1671lEDJy8vT2rVrNWnSpEptOyYmRjExMZ4b5aJmI9kDAKD8vJ7Ypaena/fu3Z7XiYmJio+PV9OmTdWmTRtNmTJF0dHR6t27t/r27av58+crIyPDM0sWKE1pQ7skfAAAWLye2H3//fcaNGiQ53X+xIbo6GgtXrxYN954ow4fPqwZM2YoKSlJ3bt315o1a4pNqADKit49AAAsXk/sBg4ceMbqyZMmTar00OupuMYOAADUdi7jsHt+5F9jl5qaqpCQkCrdF7M+axZ68QAHyMiQGjSwnqenS9xHHLVAeXIbykEDAAA4hM/VsQOqCtfiAQCczjGJHdfYoSJI9gAATsI1dpXANXa1B8ke4CO4xg61ENfYAQAA1EKOGYoFfAXDuwAAu5DYAWXAsDsAoCZwzFCs2+1WRESE+vTpY3coAAAAtnBMYhcTE6OEhATFxsbaHQoAAIAtHJPYAQAA1HZcYwdUAyZUAACqA4kdYBOSPQCAt5HYAT6EZA8AUBmOucaOWbEAAKC245ZilUBtM9ippJ48evzgeNxSDLVQeXIbhmKBGor/sQAAnMoxQ7EAAAC1HYkdAACAQ5DYAQAAOASJHQAAgEM4ZvKE2+2W2+1Wbm6u3aEAPo/ZswDgTI7psYuJiVFCQoJiY2PtDgUAAMAWjumxA1CyspZFoRcPAGo+x/TYAQAA1HYkdgAAAA7BUCyAUjE8C5+2ZYt08cV2RwH4FHrsAAA10y23SEeO2B0F4FPosQNQLqVNxqAnD9Xu11+lW2+VPvhA8qOfApBI7AB4CcO2qHZ160offSQ98YQ0c6bd0QA+gcQOQJUh2UOVeuEF6c47pccek/r1k664wu6IANs5pu/a7XYrIiJCffr0sTsUAEB1uPlm6a67JGOs54mJdkcE2M4xiR13ngCAWmj+fKlvXykjQ9q82e5oANsxFAugWjE8C68KCpJWrJCSkqwED6jlSOwAADVbmzbWI19eHrNkUWtx5gMAnCM+XuraVYqLszsSwBb02AGwXWm18U7FkC3OaO5cKSFBuv56K7lr2tTuiIBqRY8dAMA5Fi6UOnSQ9uyxihfn5dkdEVCt6LEDUGNw1wucUePG0jvvSP37U7wYtRI9dgAAZ4mMlF56yXr+2GPSmjX2xgNUIxI7AIDzjBtH8WLUSgzFAgCcaf58q2hx48ZSw4Z2RwNUCxI7AIAzBQVJH35oJXb+/nZHA1QLEjsAjsQdLiBJOuusoq937ZI6drQnFqAaOCaxc7vdcrvdys3NtTsUANWsrHXwUItlZ0sxMdLSpdKGDVKvXnZHBFQJx0yeiImJUUJCgmJjY+0OBQDgawICpORkKSvLKl585IjdEQFVwjGJHQAApfLzk954g+LFcDwSOwBA7ZBfvLhevYLixYDDOOYaOwCoCCZZ1DL5xYujo63ixf36SVdcYXdUgNeQ2AGoNZhkAUlW8eKNG60Eb+xY6X//o84dHIPEDgBOQS9eLTB/vrR3r/TXv5LUwVFI7AAAtU9+8WLAYUjsAKAM6MVzuP/9T/rhB+maa+yOBKgUEjsAQO22a5fUt690/DjFi1HjUe4EAFC7deggXXIJxYvhCCR2AIDa7dTixbfcQvFi1FgkdgAAFC5evGaN9PjjdkcEVAjX2AFABZVWF49JFTVU4eLFjz9uFS8eNqxom40bpeeek958UwoMtCdO4DTosQMAIN+4cdLEiZIx0vPPF133z39KF18srVjB7cjgs+ixAwAvozRKDffcc1LbttK99xZd3q+fdT1eXp705JPSlVdK/fvbEiJQGpcxxtgdxKmuueYaffHFFxoyZIhWrlxZrvempaWpUaNGSk1NVUhISBVFaOH2RAAqg2SvAjIypAYNrOfp6VL9+tW7/yeflB55xHreoYMUH18QD1BFypPb+ORQ7OTJk/XGG2/YHQYAoLbLzZUefVR67TXr9UMPSRddZD3/5Rfp/vvtiw0ogU8mdgMHDlRD7t0HALDbv/4lzZkjxcRIcXFSQIBVGiW/p/Dll6UPPrA3RqAQryd269ev1/DhwxUeHi6Xy6VVq1YVa+N2u9WuXTvVrVtX/fr103fffeftMAAAqLwxY6Thw4sWL+7QQZo/v6DNbbdJhw/bFiJQmNcTu4yMDEVGRsrtdpe4fvny5ZoyZYpmzpypzZs3KzIyUkOHDtWhQ4e8HQoAAJVTWvHi226zEj5JOnRIuvNOayYtYDOvz4odNmyYhp1a96eQefPm6Y477tCECRMkSS+99JJWr16tRYsWadq0aeXeX1ZWlrKysjyv09LSyh80APgIZtT6oPzixf37FxQvnjVLeuUVqWtXq7du1Spp8WLp///bBtilWsudZGdnKy4uTtOnT/cs8/PzU1RUlDZu3Fihbc6dO1ePPfaYt0IEgGrDzPoapLTixa+8Io0aZbX561+lgQOl9u3tjBS1XLVOnkhJSVFubq7CwsKKLA8LC1NSUpLndVRUlEaPHq0PP/xQrVq1Om3SN336dKWmpnoe+/btq7L4AQC12Lhx0l13SXXrSvmjQyNHWsOyklV+Zdw4ayYtYBOfLFD82WeflbltUFCQgoKCqjAaAAD+v/nzpXvukSIiCpY995y0bp2UmCh9/bX0zDPS1Km2hYjarVp77EJDQ+Xv76/k5OQiy5OTk9WiRYtKbdvtdisiIkJ9+vSp1HYAAChVUFDRpC4tTWrYUFq61JpoIUl/+5tVuBiwQbUmdoGBgerVq5fWrl3rWZaXl6e1a9eqfyVvyxITE6OEhATFxsZWNkwA8Cntpq0u9oAP2LjRSvJee036058KeulOnpRuvVU6ccLe+FAreT2xS09PV3x8vOL///+tJCYmKj4+Xr/++qskacqUKXrllVe0ZMkS7dixQxMnTlRGRoZnliwAADXCF19I+/cXFC+eNUvq3t1a9+OPBbceA6qR1+8V+8UXX2jQoEHFlkdHR2vx4sWSpBdffFFPP/20kpKS1L17d73wwgvq16+fV/bPvWIB1GaOL41i971iC8vLs2bEvv++1K6d9P33UlKS1KuXVdBYktaulQYPti9GOEJ5chuvJ3Z2cbvdcrvdys3N1c6dO0nsANRKJHbV7OhRqXdv676xV1xh3V5swQLpvvus9a1bS1u3WrXwgAoqT2Lnk/eKrQiusQMAVLv84sX16lnFi594wqpnl99Lt2+fNYsWqCaOSewAALBFfvFiySpevG6ddReKRo2sZW++Kf3737aFh9qFxA4AgMrKL148apTUt681BPuPfxSsv+sua6IFUMV8skBxRRS+xg4AUID7z1aTF16QAgIkl8t6PWaM9N//SsuXS3/8If35z9Zwbf56oAo4pseOa+wAALaqU6cgaTNG+uwzq9cuPNxa9sknRXvxgCrgmMQOAACfYIw0dqx0+eXSf/5jXW+X78EHpZ9+si00OJ9jhmIBAJRh8gkuV8FtxyZNkjZssGbGLlggHT9uJX3ffGP18AFeRo8dAADeNm2aNHy4Vaj4uuusnroLLrDWff+9VRYFqAKOSezcbrciIiLUp08fu0MBANR2fn7SG29IHTpIe/dKd95pDckG/P+BsjlzpG+/tTVEOJNjEjsmTwAAfMqpxYs/+kiaOdNal5dnDcmmp9saIpzHMYkdAAA+p3Dx4ieflG6+WbrwQuv17t3SAw/YFxscickTAFALUduuGo0bJ+3cac2SPeccaelSK+HLzJQWLrSuxbuKYw/voMcOAICqNnu2dOml1vNzz5Wee65g3W23SYcP2xMXHIceOwCAJHrxqs2OHdLBg1Yv3erVUnKyNbniP//hrhSoNMf02DErFgDg837/3brGbtYsadAgKTTUWr5qlbRkiZ2RwSFcxhhjdxDelJaWpkaNGik1NVUhISFVui8KgQKojWztxcvIkBo0sJ6np0v169sXS0U9+aT0yCNSUJA1RPvgg9byhg2lH36Q2re3Nz74nPLkNo7psQMAoEYoXLz4xRelMWOs5ceOSdHRUm6uvfGhRiOxAwCgOp1avPjwYaltW2vdV19Jzz5rb3yo0UjsAACobo0bW5Ml6tWTPvvMut4uf+LEo49aQ7JABTArFgBQLsye9ZJu3aw6duPGSYmJVrHip5+WTp6Ubr1Vio2V6ta1O0rUMCR2AADYZexYawLI8OHWbcY++cTqrdu+3eq5e+YZuyNEDeOYoVjKnQAAaqRrr5Xq1LFmyb75pvVckubNkz7/3N7YUOM4JrGLiYlRQkKCYmNj7Q4FAIDyy86WXn5Z6tHDem2MNUs2NdXeuFCjMBQLAKi00up6cu1dOXz/vVX+xBjp/POln3+W9u2T7rnHmkULlIFjeuwAAKjRLrrIKlgsSXv2FBRfXrpUWrHCtrBQs5DYAQDgKwoXL65Xr2D5XXdJBw7YFxdqDBI7AAB8ReHixSkpUosW1vIjR6Q//9kapgVOg8QOAABf0rix9M47Vo9dUlLBvXE//lj65z9tDQ2+j8QOAABfExkpvfSSFBIi3XdfwfIHHrAmVQClILEDAMAXjRsn7dolPf64FBNjLTt+3CpqfPKkvbHBZzmm3Inb7Zbb7VZubq7doQAA/j9uP1ZJzZtb//3736UPP7RuPRYbK82ZI82aZWto8E2O6bGjQDEAwLG++046elRyuazXs2dLmzbZGhJ8k2N67AAANQO9eBWQk2PdgSJ/VmxurjUku2VLQb07QA7qsQMAwLGioqQnnrCe5/fa7dolPfigfTHBJ5HYAQBQE0ybJo0YYfXa5Sd3//yn9NFH9sYFn0JiBwBATeDnJy1ZYhUvLlyo+M9/tooZA+IaOwCAD+C6uzJq3Fj6z3+kCy+0Sp9IVhHjv/xFWrmyoCcPtRY9dgAA1CTdukkvvyxdd53UtKm17D//kZYutTcu+AQSOwAAappbb7V66F55pWDZpEnSnj22hQTfQGIHAEBNde211h0qJOnYMSk62iqFglqLxA4AgJqscCK3fr10773ccqwWI7EDANQYnf62psjzkiZd1Drjx1szZvO9+KI0aJD022+2hQT7kNgBAFCTFS5enG/DBqlHD+mTT+yJCbZxTGLndrsVERGhPn362B0KAADVa9o0afhw67m/v/XflBTpiiukGTO47q4WcRlTuMphzZeWlqZGjRopNTVVISEhVbovhgAAoHrVyz6hHc9dL0nqdN9KHQ+sS727fEePSr17S7/8IjVrJh0+XLBu8GDprbeksDDbwkPFlSe3cUyPHQAAtVrjxtI770j16kmpqdI99xT03q1bJ3XvLn35pZ0RohqQ2AEA4BSRkdIbb0hffy298IKV0LVsaa1LSrJ67ubOlfLy7I0TVYbEDgAAJ7n+ein/evNLL5Xi460JFpKV0D38sHU93u+/2xYiqg6JHQAATrVlizRxovTuu9KsWQX3kv3wQ2vW7Lff2hoevI/EDgAAJ8rOlkaOtO4jO3myNHOm9PHH1sQKSdq3T7rkEmn+fMlZ8yhrNRI7AACcKDBQev11q3jxokXSq69Kl11m9eJdfLHVJidHuu8+a/g2NdXeeOEVJHYAADjVkCHS7NnW80mTpLg46eyzpc8/l6ZOLWj3n/9IvXpZSR9qNBI7AACcbOpUacQIKStLuu46a9JEQID01FPS++9LTZpY7X75RerfX1q4kKHZGizA7gAAAKgKJRWRr5XFjP38pCVLCooX33qr9MEHVo27q6+WNm+WbrhBio21kr+77pK++kp66SWpQQO7o0c5kdgBAGo07gJUBo0bW8OtF15ovT5+vCBpa9fOqnv3wAPSggXWsmXLrIRvxQqpc2c7IkYFMRQLAEBt0K2b9M03Vm/dqT1xgYFWQeN//1tq2NBatmOH1LevtHRp9ceKCiOxAwCgtujeveA2Y5J07FjR9aNHWxMsIiOt15mZ0rhx0h13WL188HkkdgAA1DbHj0u33SYNHCidOFF0XceO0saNVjKX79VXrWHcXbuqNUyUH4kdAAC1ze+/S//9r3Ud3aRJxdfXqye9/LJ139ngYGvZ1q1WSZQVK6o3VpSLTyZ2H3zwgc4//3x17NhRr776qt3hAADgLK1aSW+/bc2Yfe01q0euJGPHSt99J3XqZL0+dsyaQfvXv1r3nYXP8bnELicnR1OmTNG6deu0ZcsWPf300/qdGxUDAOBdUVHSE09Yz/OLF5ekc2crubvlloJlCxZIixdXeYgoP59L7L777jt17txZZ599tho0aKBhw4bpk08+sTssAIADtJu2utijVps2rXjx4pI0aGDNjn3hhYJlH39cPTGiXLye2K1fv17Dhw9XeHi4XC6XVq1aVayN2+1Wu3btVLduXfXr10/fffedZ92BAwd09tlne16fffbZ2r9/v7fDBAAA+cWLO3SQ9u61ZsCWdtcJl0uaOLHgmrvY2OqLE2Xm9cQuIyNDkZGRcrvdJa5fvny5pkyZopkzZ2rz5s2KjIzU0KFDdejQIW+HAgAAziS/eHHr1ta1cy5X6W0DAqQePazniYml9/DBNl5P7IYNG6bZs2frmmuuKXH9vHnzdMcdd2jChAmKiIjQSy+9pODgYC1atEiSFB4eXqSHbv/+/QoPD/d2mAAAIF+3btLu3dLQoWdu27t3wfPSrsuDbar1Grvs7GzFxcUpKiqqIAA/P0VFRWnjxo2SpL59+2r79u3av3+/0tPT9dFHH2noaU60rKwspaWlFXkAAIByCgwseP7LL9KePSW369On4DnDsT6nWu8Vm5KSotzcXIWFhRVZHhYWpp9++skKKCBAzz77rAYNGqS8vDw99NBDOuuss0rd5ty5c/XYY49VadwAAOcqaQLFnqeusiESH/Hll9LIkdI550gbNlg17Qor3GP3/ffVGxvOyOdmxUrSiBEjtHPnTu3evVt33nnnadtOnz5dqampnse+ffuqKUoAABzonHOkOnWkLVtKLl7csWPB/WRJ7HxOtSZ2oaGh8vf3V3JycpHlycnJatGiRYW2GRQUpJCQkCIPAABQQa1bFxQvXrSoePFiPz/rDhSS9NtvUlJS9ceIUlVrYhcYGKhevXpp7dq1nmV5eXlau3at+vfvX6ltu91uRUREqE/hsX8AAFB+ZypeXPjfWnrtfIrXr7FLT0/X7t27Pa8TExMVHx+vpk2bqk2bNpoyZYqio6PVu3dv9e3bV/Pnz1dGRoYmTJhQqf3GxMQoJiZGaWlpatSoUWU/BgCgFuO6O1nFizdtsu4pe911VnKXf837qdfZXX21PTGiGK8ndt9//70GDRrkeT1lyhRJUnR0tBYvXqwbb7xRhw8f1owZM5SUlKTu3btrzZo1xSZUAAAAG+UXL+7d25olO3eu9Mwz1jomUPgslzGllZiumfJ77FJTU6v8ertafysaAKhm9bJPaMdz10uSOt23UscD69oaT63oxdu6VXrtNenvf5eCgqxlxkihodKRI1Lz5tZ1dqcrbIxKKU9u45OzYiuCa+wAAKgC3bpJzz9fkNRJVhKX32t36JA1iQI+wTGJXUxMjBISEhRLsUQAAKpGTo40a5Z1OzGGY32SYxI7AABQxR56SHrsMWsyRdeuBctJ7HwGiR0AACib++6zrq3bskVatapgOaNlPsMxiR3X2AEAUMUKFy9evrzoHSicNRezxnJMYsc1dgAAVIOoKGn2bOt5Rob13z/+sK67g+0ck9gBAIBqMnWqNGKElJdXsIyOFZ9AYgcAAMonv3hxy5YFy5hA4RNI7AAAQPk1biy99VbBaxI7n+D1W4rZxe12y+12Kzc31+5QAAC1RK2/p+zAgVKrVlaB4rg4q85dgGNSixrJMT12TJ4AAMAG+dUojh2TIiKYRGEz0moAALyotPuIO7Ynr3dv6d13ree7dlnFizdskOrVszeuWsoxPXYAAMAGhW8tVq+eVbx40iT74qnlSOwAAEDF9epV8Lx9e2vG7KJF0quv2hdTLUZiBwAAKu6ss6RzzrGeJyZa95KVrF67uDj74qqlHJPYcUsxAABskj8ce/y4NHy49cjKsq63+/13e2OrZRyT2DErFgAAmxS+zm7zZumNN6QOHaxh2jp17IurFnJMYgcAAGxSeLQsNtYqXrxhg7RypRQSYltYtRGJHQAAqJyePQue59+BIixMcrms58ZQ366akNgBAIDKCQmRzj/fev7DD1J2dsG6jAxpzBhrWJbkrsqR2AEAgMrLv84uO1vatq1geUCAldD98Yc1meL4cXviqyW48wQAANXA8feV7dNHWrbMev799wX17YKCrGvtevYsKF782mv2xelwjumxo9wJAAA2KjwzNv86u3ytW0v/+hfFi6uBYxI7yp0AAGCj7t2txE0qnthJ0pAh0uzZ1vOYmJLboNIck9gBAAAb1a8vde5sPd+2reRr6aZOlUaMsK7Du+km6eTJ6o2xFiCxAwAA3pE/HJuba82OPZWfn7RkiXTJJdLrr1O8uAqQ2AEAAO843XV2+Ro3lr780kru4HUkdgAAwDsKJ3anu+Y9v3CxJCUkSOvWVV1MtQzlTgAAgHdERlrDqydPlm1yRGysNGiQFBgoxcVJ7dtXfYwOR48dAADwjqAgqWtX6/mOHVJ6+unbd+smdelC8WIvIrEDAADekz8ca4xVkPh0goKkFSuk0FCrbUyM9T5UmGMSOwoUAwDgAwr/O1yW2rKFixe//jrFiyvJMYkdBYoBAPABZZkZe6rCxYsnTaJ4cSU4JrEDAAA+oHNna4hVKl+CVrh48QsvVE1stQCJHQAA8J46dazbi0nSrl3S0aNle19+8eInn7TuJ4sKIbEDAADeVfg6u7i4sr+vcWNp+nQpgGpsFcWRAwDAJu2mrS62bM9TV9kQiZedep3dkCHl30Z2tvTAA9IVV0hXXum92ByOHjsAAOBdFZlAcaoFC6zHrbdKiYneiasWILEDAADedcEFUv361vOKVquYNEnq14/ixeVEYgcAALzL31/q2dN6vnevdPhw+bdB8eIKIbEDAADeV3g4tjwTKAqjeHG5kdgBAADvK5zYVebmARQvLhcSOwAA4H2FS55UNhmbOlUaOVKqW7diw7q1COVOAACA93XoIDVqJKWmVj6xyy9efOiQ1LGjd+JzKMckdm63W263W7m5uXaHAgCAV9XIend+flKvXtK6ddKBA9YjPLzi22vUyHrkS0+XGjSofJwO45ih2JiYGCUkJCi2MuP4AADAe7w5HFvY2rVWj+Dq4glvbeeYxA4AAPgYbxQqLsmqVdaw7K23Sv/7n/e26wCOGYoFAMAJShp2rbGqKrF75hlrpu2mTVbx4m++kerV8972azB67AAAQNVo21Y66yzreWys9woMFy5eHB9P8eJCSOwAAEDVcLkKrrNLSZF+/dV726Z4cYlI7AAAQNWpquFYqXjx4vh4726/BuIaOwAAUHVOvQPFddd5d/tTp0rffis1biydd553t10DkdgBAICqU1UlT/L5+Un//rcUGGgN/dZyJHYAANRC1Vb0ODxcatlSOnjQSuyM8X4CFhRU8DwvT/rqK2nAAO/uo4bgGjsAAFC18odjU1OlX36puv2cPGndU3bgwFpbvJjEDgAAVK1Tr7OrKnXqSG3aWM9rafFihmIBAHA424sen3qd3ZgxVbevefOkuLhaW7yYxA4AgBqouq6R88p+evUqeF4VEygKyy9e3LNnQfHi116rNRMrGIoFAABVq3nzgiHSuDgpN7dq91eLixeT2AEAgKqXPxybkSH9/HPV72/IEGnOHOv5Aw9IR49W/T59gE8OxV5zzTX64osvNGTIEK1cudLucAAAqBWq9Fq83r2ld96xnn//vRQRUXX7yjd1qvTbb9L48VYB41rAJ3vsJk+erDfeeMPuMAAAgLdU5a3FSuNySS++WHTfDueTid3AgQPVsGFDu8MAAADeUngCRVWWPDmdzZulF16wZ9/VpNyJ3fr16zV8+HCFh4fL5XJp1apVxdq43W61a9dOdevWVb9+/fTdd995I1YAAFBTNWkinXuu9Tw+3iomXJ0SE6WLLpImT3Z08eJyJ3YZGRmKjIyU2+0ucf3y5cs1ZcoUzZw5U5s3b1ZkZKSGDh2qQ4cOedp0795dXbp0KfY4cOBAxT8JAADwbflDoidOSAkJ1bvv9u2l226znju4eHG5J08MGzZMw4YNK3X9vHnzdMcdd2jChAmSpJdeekmrV6/WokWLNG3aNElSfHx8xaItQVZWlrKysjyv09LSvLZtAADgRb17W2VIJGs4NjKyevdfC4oXe/Uau+zsbMXFxSkqKqpgB35+ioqK0saNG725K4+5c+eqUaNGnkfr1q2rZD8AAKCSTr0DRXXLL14cGlpQvNiY6o+jCnk1sUtJSVFubq7CwsKKLA8LC1NSUlKZtxMVFaXRo0frww8/VKtWrU6bFE6fPl2pqamex759+yocPwAAqEI9ehTcAcKOxE5yfPFin5wV+9lnn+nw4cPKzMzUb7/9pv79+5faNigoSCEhIUUeAADABzVsKF1wgfV861ap0KVU1WrIEGn2bOv5Rx85qtfOq4ldaGio/P39lZycXGR5cnKyWrRo4c1dAQCAmih/AsXJk1ZyZ5epU6W33pJWrnTUfWS9mtgFBgaqV69eWrt2rWdZXl6e1q5de9peN29wu92KiIhQn8Lj9wAAwLfYfZ1dPj8/acwY67+S1WvngJ67cs+KTU9P1+7duz2vExMTFR8fr6ZNm6pNmzaaMmWKoqOj1bt3b/Xt21fz589XRkaGZ5ZsVYmJiVFMTIzS0tLUqFGjKt0XAACoIDvuQHEmx49Ld98ttWkjPfaY3dFUSrkTu++//16DBg3yvJ4yZYokKTo6WosXL9aNN96ow4cPa8aMGUpKSlL37t21Zs2aYhMqAABALRQZKfn7S7m59t2B4lSffCItXmw979tXuuoqW8OpjHIPxQ4cOFDGmGKPxfkHRNKkSZO0d+9eZWVladOmTerXr583Yy4RQ7EAANQAwcFSly7W8x9/lDIz7Y1HkkaOtHrspBpfvNgnZ8VWRExMjBISEhTrK9k/AAAoWf5wbF6eVU/OF8ybJ/XrJx09ahUvPn7c7ogqxDGJHQAAqCF88Tq7oCBrhmyzZlayeffdNXIyBYkdAACoXoUTO18aaWvVqqB48eLF0iuv2B1RuZV78gQAAKjd2k1bXWzZnqfKMeGga1cpMFDKzvadHrt8gwdLc+ZIzzwjtWtndzTl5pgeOyZPAABQQwQFSd26Wc9//llKS7M3nlNNnSpt3y5dfrndkZSbYxI7Jk8AAFCD5A/HGiNt3mxvLKdyuaTCd8z69VerPEsN4JjEDgAA1CC+cgeKM3n/fat3sYYULiaxAwAA1c8XZ8aWJC1NSk2VnnhCWl382kJfQ2IHAACqX0SEVLeu9dyXE7tbbpFiYqznNaB4sWNmxbrdbrndbuXWkDFwAABqtYAAaexYa3Zs797WtXYul91RlWzePCkuTvr2W6t48TffSPXq2R1ViRyT2MXExCgmJkZpaWlq1KiR3eEAAIAzeflluyMom8BAacUKqWfPguLFixb5ZCLKUCwAAMCZnFq8+J137I6oRI7psQMAAKhS+cWL9+2Thg+3O5oSkdgBAADHKenuGFI575BRkqlTfXIINp9jhmK58wQAAKhyhZO6nBzptdesiR8+wjE9dkyeAADUdqX1UqEKGCONGyddc41P9eA5JrEDAACoNi6X1VvnY2VPHDMUCwAAUK18LKmTSOwAAAAcg8QOAADAIUjsAAAAHILEDgAAwCEck9hRxw4AANR2jknsYmJilJCQoNjYWLtDAQAAsIVjEjsAAIDajsQOAADAIUjsAAAAHILEDgAAwCFI7AAAAByCxA4AAMAhSOwAAAAcwjGJHQWKAQBAbeeYxI4CxQAAoLZzTGIHAABQ25HYAQAAOASJHQAAgEOQ2AEAADgEiR0AAIBDkNgBAAA4BIkdAACAQ5DYAQAAOASJHQAAgEOQ2AEAADgEiR0AAIBDOCaxc7vdioiIUJ8+fewOBQAAwBaOSexiYmKUkJCg2NhYu0MBAACwhWMSOwAAgNouwO4AAAAA7NRu2upiy/Y8dZUNkVQePXYAAAAOQWIHAADgECR2AAAADkFiBwAA4BAkdgAAAA5BYgcAAOAQJHYAAAAOQWIHAADgECR2AAAADkFiBwAA4BDcUgwAAPgkJ93qq7rQYwcAAOAQPpfY7du3TwMHDlRERIS6deumFStW2B0SAABAjeBzQ7EBAQGaP3++unfvrqSkJPXq1UtXXnml6tevb3doAAAAPs3nEruWLVuqZcuWkqQWLVooNDRUR44cIbEDAAA4g3IPxa5fv17Dhw9XeHi4XC6XVq1aVayN2+1Wu3btVLduXfXr10/fffddhYKLi4tTbm6uWrduXaH3AwAA1CblTuwyMjIUGRkpt9td4vrly5drypQpmjlzpjZv3qzIyEgNHTpUhw4d8rTp3r27unTpUuxx4MABT5sjR45o3LhxevnllyvwsQAAAGqfcg/FDhs2TMOGDSt1/bx583THHXdowoQJkqSXXnpJq1ev1qJFizRt2jRJUnx8/Gn3kZWVpVGjRmnatGm66KKLztg2KyvL8zotLa2MnwQAAMBZvDorNjs7W3FxcYqKiirYgZ+foqKitHHjxjJtwxij8ePHa/DgwRo7duwZ28+dO1eNGjXyPBi2BQAAtZVXJ0+kpKQoNzdXYWFhRZaHhYXpp59+KtM2NmzYoOXLl6tbt26e6/eWLl2qrl27lth++vTpmjJliud1WloayR0AAChRSUWPncTnZsVefPHFysvLK3P7oKAgBQUFVWFEAAAANYNXh2JDQ0Pl7++v5OTkIsuTk5PVokULb+6qGLfbrYiICPXp06dK9wMAAOCrvJrYBQYGqlevXlq7dq1nWV5entauXav+/ft7c1fFxMTEKCEhQbGxsVW6HwAAAF9V7qHY9PR07d692/M6MTFR8fHxatq0qdq0aaMpU6YoOjpavXv3Vt++fTV//nxlZGR4ZskCAACgapQ7sfv+++81aNAgz+v8iQvR0dFavHixbrzxRh0+fFgzZsxQUlKSunfvrjVr1hSbUAEAAADvKndiN3DgQBljTttm0qRJmjRpUoWDqgi32y23263c3Nxq3S8AAICv8LlZsRUVExOjmJgYpaWlqVGjRnaHAwAAHKakUil7nrrKhkhK59XJEwAAALAPiR0AAIBDOCaxo44dAACo7RyT2FHHDgAA1HaOSewAAABqOxI7AAAAhyCxAwAAcAjHJHZMngAAALWdYxI7Jk8AAIDazjGJHQAAQG1HYgcAAOAQJHYAAAAOQWIHAADgEI5J7JgVCwAAarsAuwPwlpiYGMXExCg1NVWNGzdWWlpale8zLyuzyvcBACiQm31C+X/dc7MylWfybI0HBari392S/p0t634q+290SfupTDzeiMUYc8a2LlOWVjXIb7/9ptatW9sdBgAAgFft27dPrVq1Om0bxyV2eXl5OnDggBo2bCiXy1Vquz59+lSo5l1531fW9mVpd7o2aWlpat26tfbt26eQkJAyx+frKvo9+fq+vbHt6jiHvd2Wc9gZ+64p52952nP+lozz1/vbqcjfVWOMjh07pvDwcPn5nf4qOscMxebz8/M7YzYrSf7+/hX68ZX3fWVtX5Z2ZWkTEhLiqD8qFf2efH3f3th2dZzD3m7LOeyMfdeU87c87Tl/S8b56/3tVPTvaqNGjcr0HsdMniivmJiYanlfWduXpV1FY67J7PzMVblvb2y7Os5hb7flHHbGvmvK+Vue9py/JeP89f52qupvcD7HDcXWVmlpaWrUqJFSU1Md9X+LqD04h1GTcf7CV9TaHjunCQoK0syZMxUUFGR3KECFcA6jJuP8ha+gxw4AAMAh6LEDAABwCBI7AAAAhyCxAwAAcAgSOwAAAIcgsauFjh49qt69e6t79+7q0qWLXnnlFbtDAsps3759GjhwoCIiItStWzetWLHC7pCAcrvmmmvUpEkTXX/99XaHAodhVmwtlJubq6ysLAUHBysjI0NdunTR999/r7POOsvu0IAzOnjwoJKTk9W9e3clJSWpV69e2rlzp+rXr293aECZffHFFzp27JiWLFmilStX2h0OHIQeu1rI399fwcHBkqSsrCwZY0R+j5qiZcuW6t69uySpRYsWCg0N1ZEjR+wNCiingQMHqmHDhnaHAQcisfNB69ev1/DhwxUeHi6Xy6VVq1YVa+N2u9WuXTvVrVtX/fr103fffVeufRw9elSRkZFq1aqVHnzwQYWGhnopetR21XH+5ouLi1Nubq5at25dyaiBAtV5DgPeRmLngzIyMhQZGSm3213i+uXLl2vKlCmaOXOmNm/erMjISA0dOlSHDh3ytMm/fu7Ux4EDByRJjRs31g8//KDExES99dZbSk5OrpbPBuerjvNXko4cOaJx48bp5ZdfrvLPhNqlus5hoEoY+DRJ5t133y2yrG/fviYmJsbzOjc314SHh5u5c+dWaB8TJ040K1asqEyYQImq6vw9ceKEueSSS8wbb7zhrVCBElXl3+DPP//cXHfddd4IE/Cgx66Gyc7OVlxcnKKiojzL/Pz8FBUVpY0bN5ZpG8nJyTp27JgkKTU1VevXr9f5559fJfEChXnj/DXGaPz48Ro8eLDGjh1bVaECJfLGOQxUJRK7GiYlJUW5ubkKCwsrsjwsLExJSUll2sbevXt1ySWXKDIyUpdcconuuecede3atSrCBYrwxvm7YcMGLV++XKtWrVL37t3VvXt3bdu2rSrCBYrxxjksSVFRURo9erQ+/PBDtWrViqQQXhNgdwCofn379lV8fLzdYQAVcvHFFysvL8/uMIBK+eyzz+wOAQ5Fj10NExoaKn9//2KTHZKTk9WiRQubogLKhvMXNR3nMHwdiV0NExgYqF69emnt2rWeZXl5eVq7dq369+9vY2TAmXH+oqbjHIavYyjWB6Wnp2v37t2e14mJiYqPj1fTpk3Vpk0bTZkyRdHR0erdu7f69u2r+fPnKyMjQxMmTLAxasDC+YuajnMYNZrd03JR3Oeff24kFXtER0d72ixYsMC0adPGBAYGmr59+5pvv/3WvoCBQjh/UdNxDqMm416xAAAADsE1dgAAAA5BYgcAAOAQJHYAAAAOQWIHAADgECR2AAAADkFiBwAA4BAkdgAAAA5BYgcAAOAQJHYAAAAOQWIHAADgECR2AAAADkFiBwAA4BAkdgAAAA7x/wDS9VPNfDs69AAAAABJRU5ErkJggg==\n" 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\n" 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\n" 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zzzzj9OdDRN5LIYQQUhdBRERERL3HFjsiIiIiD8FgR0REROQhGOyIiIiIPIRa6gKkZLFYcObMGQQFBUGhUEhdDhEREVE7QgjodDrExsZCqTx3m5xXB7szZ84gISFB6jKIiIiIzquwsBDx8fHnPMerg11QUBAA6w8qODhY4mq8UH09EBtr/f7MGSAgQNp6iIiIZKi2thYJCQn23HIuXh3sbN2vwcHBDHZSUKlavg8OZrAjIiI6h64MG+PkCSIiIiIPwWBHRERE5CEY7IiIiIg8hFePsSMiIqLeM5vNMBqNUpfhtnx8fKBqPe68FxjsiIiIqEeEECguLkZ1dbXUpbi90NBQ9OnTp9fr6jLYERERUY/YQl10dDT8/f252H8PCCHQ0NCA0tJSAEDfvn17dX8MdkRERNRtZrPZHuoiIiKkLset+fn5AQBKS0sRHR3dq25ZTp4gIiKibrONqfP395e4Es9g+zn2dqwigx0RERH1GLtfHcNRP0cGOyIiIiIPwWBHRERE5CEY7IiIiMjrTJ06FQqFAgqFAmq1Gn379sXcuXOxY8cOqUvrFQY7IiIi8ipCCOzZswcrVqzA2bNnceTIEXz00UdQKpWYPHky1q9fL3WJPcblToiIyONYLAKNRjPq9SbU6U1oMJhRpzehXm+C2SIwaWAkAjT8E+itDh8+DJ1OhylTpqBPnz4AgKSkJFx00UWYOnUqHn30UcyYMUPiKnuG/6uJiEhyZotAvcEavOr15uZ/Tag3tA5nJtQ1X9f6e+t5bW/XYDRDiM4f78ax/bB87nDXPUGSld27d0OlUiE9Pb3NcYVCgRkzZmDZsmUSVdZ7DHZERNRtRrOlffDSt7SKtQlerQNb8/d1ejMa7N+b0GS0OKVOhQII9FUjQKOGv0YFH6USBSU6rMs9i2VzhkKt4ogkRxHC2koqBT8fVbeWC8nOzsbgwYM7XIPP19cXPj4+AIBVq1ahvLwczzzzDHQ6HebOnYvJkyfjiSeeQGFhIe677z4UFhaiuroaU6ZMwZo1axz2nHqKwY6IyMMJIaA3WdDQSevXb1vHWgevlqDWEtrqDWYYTM4JYmqlAgEaNQJ8VdZ/NWoEaFQI8FUjsDmcBWjUCPRVw1+jRmDz5QDftucGaKzna32Ubf7gm8wWjHpqA6oajMg+VY2x/cOd8jy8UaPRjLQnvpfksQ8unQl/365HmuzsbIwaNarD6woKCpCamgoAyM3NRWZmJkpKSnDFFVfgzjvvxO9//3sAwA033IAnnngCM2fOhBACeXl5vX8iDsBgR0QkM0IINBktrQJY29au1t2VdQZrS5ktsP22S9IW1kyWc/RL9oKvWmkPYYEaNfzbfN8qeLULa9br/JsDW0DzbTVqpVMXvFWrlLg4NRpf7SnChrwSBjsvlZ2djSuuuKLd8fr6enzzzTdYtGgRAGuwu+KKKzB9+nQ89dRTuOqqqwAATU1N+OWXXzBp0iQA1i7ctLQ0l9V/Lgx2REQuJoTA37OOIKeopn1XZfNlJ+UwaH2UrYLUb1u82rZ+2YKXPahpVPbbBvhar/NVu19XZuaQGGuwO1iCRy4bInU5HsPPR4WDS2dK9thddezYMVRXV2PkyJFtjpvNZtxzzz3w8/PDH//4RwghcPDgQSxcuBCffPIJJk+ebD9Xq9Vi4sSJSE1Nxdy5c3HHHXcgIyPDUU+nVxjsiIhc7ERFA17ccKhL53bUJfnbFq+OWr/a3a45sKmU3P5pyqBI+KgUOFZej6NldUiOCpS6JI+gUCi61R0qld27dwMA+vbti+LiYtTW1mL37t14+eWXUVhYiG+//RYhISE4duwYYmNjERYWhsrKynb3s3HjRmzZsgVffPEFJk6ciG3btuGCCy5w9dNpR/6vABGRh2kwmAAAQVo1nr56eLuuTFs48/NRQckg5nBBWh+MHxCBnw6XIyuvhMHOy2RnZwMABg0aBJVKhdDQUAwePBhXXnkl7rnnHoSHW7vnc3NzkZGRgeXLl2P69Om44IIL0K9fP/v9KJVKTJs2DdOmTcPRo0dx8OBBBjsiIm9kbu5nDdKocWV6rMTVeKcZaTH46XA5Nhwsxe+nJEtdDrnQ8uXLsXz58vOel5ubi2HDhiE5ORlPPfUUbrjhBvz4449Qq9X4/vvvcfHFF8PHxwfHjx9Hfn6+fbyd1NxvcAQRkZuzBTu2xkln+pAYAMCvJytRWW+QuBqSI1uwA4BbbrkFKSkpePTRRwEAn332GVJTU5GRkYFbbrkFq1evRlJSkoTVtmCLHRGRi9mCnZrBTjJxoX4Y0jcYeWdrsSm/FNeMipe6JJKZjz76qM3ld9991/79W2+95epyuowtdkRELmZbeoQTGaQ1Y0g0AGBDXonElRA5DoMdEZGLtbTY8S1YSplp1u7YLYfK0CTRjglEjsZ3FSIiF+MYO3kYFhuCmGANGgxm7DhWIXU5RA7BYEdE5GIcYycPSqXCPomC3bHkKRjsiIhcjGPs5GOGLdgdLIUQTtrug8iFGOyIiFzMbLEAYIudHExIjoCfjwrFtU04cKZW6nKIeo3BjojIxczWXMcWOxnQ+qgwZVAkAGD9QXbHkvtjsCMicjFTc4sdg508ZHKcHXkQBjsiIhczc4ydrFycGg2FAjhwphZnqhulLoeoVxjsiIhczMRZsbISEajBqH5hAIAsttqRm2OwIyJyMYu9xY5vwXJhW6x4fV6pxJUQ9Q7fVYiIXKxluROJCyE72zi77UfLoWsySlwNucLDDz8MjUaDm266SepSHIpvK0RELsYtxeQnOSoA/SMDYDQL/HS4XOpyyAUWL16MF154AR9//DGOHDkidTkOw3cVIiIX4wLF8qNQKJA5JBoAsIHLnniFkJAQLFiwAEqlEjk5OVKX4zAMdkRELmbh5AlZsnXHbiwohcm22CB5NJPJBH9/f+Tm5kpdisOopS6AiMjb2FrslAx2sjIqMQyh/j6objBi98kqjBsQIXVJ7kUIoKFBmsf29wcU3f99euyxx1BXV8dgR0REPcctxeRJrVLi4sHR+HJPEbLySxnsuquhAQgMlOax6+qAgIBu3WT37t144403MHv2bIcHu40bN2LPnj144IEHHHq/XcGuWCIiF+MYO/myLXvCcXaezWKx4O6778bChQtx22234fDhwzAaHTcb+uKLL5Yk1AEMdkRELscxdvI1ZVAUfFVKHCuvx9GyOqnLcS/+/taWMym+/P27Veorr7yC8vJyLF26FMOHD4fRaER+fr79+kmTJmHnzp0AgAULFuDFF18EAFx55ZW4//77MX78eAwePBi7du3CnDlzkJiYiNdff91++yuvvBI5OTm47LLL8MQTT2DSpEkYMGCAS7p8GeyIiFyMY+zkK1CjxvhkaxcsW+26SaGwdodK8dWN8XVFRUV4/PHH8dprryEgIAApKSnQaDRtQtfjjz+OFStWYNWqVVAqlfjLX/4CAMjJycGIESOwY8cOTJ8+HQ899BA++OADbNq0Cf/617/st8/Pz0dqaipyc3PRr18/bNu2Dffddx++/vprx/28O8FgR0TkYma22MnaDNuyJ9xezCPdd999mDVrFmbPng0AUKvVGDJkSJtgd+mll+LUqVNYu3atvSVOp9NBCIEFCxa0ua+goCAIIRAcHGw/T6vVorGxEQqFAnfeeScAwGg0IjQ01OnPj8GOiMjFTNxSTNamNy97svtkFSrq9BJXQ4707bffYuPGjXj55ZfbHB8+fHibYPfLL7+gsrISISEh8PHxAQAcOHAAY8aMsZ+Tk5ODcePGAQByc3MxfPhw+3lDhw5Fbm5uu/OHDh3qtOdmw3cVIiIXY4udvMWG+iGtbzAsAthUUCZ1OeRAl19+OaqqqtCnT582x9977z17N2lRURHuvPNObNy4ESdOnLAHPls3rM3p06cRHx9vv84W7Gzf5+bmIj093X5+63OcicGOiMjFzJwVK3ucHeudGhsbcd111+GVV15B//79sXjxYixbtgxA22BXWFiIhIQE++1+G+yGDRuG3Nxc+/kmkwnV1dWIiHD+EjoKIYRw+qPIVG1tLUJCQlBTU2PvGycXqq9vWfOoB2sQEbmrxV/m4ONdp7BoxiDcNz1F6nKoAzmna3DFq1vh76tC9uMzoPVRSV2S7DQ1NeH48ePo378/tFqt1OW4vXP9PLuTV9hiR0TkYgaTdYFiHxXfguVqWFwwYoI1aDCYsf1YhdTlEHUZ31WIiFystsm6EGqwHzf/kSuFQmHfO5bdseROGOyIiFxMZwt2Wh+JK6FzsY+zyyuBF49aIjfDYEdE5GK1jSYAQJCWLXZyNmFABPx9VSip1SO3qFbqcoi6hMGOiMjFWrpi2WInZ1ofFaakRAEA1nOx4k6xNdMxHPVzZLAjInIxXZO1xY5dsfLHZU86Z1u4t6GhQeJKPIPt52j7ufYU+wGIiFzIYhEtY+w4eUL2pg2OglIBHDxbi6LqRsSF+kldkmyoVCqEhoaitLQUAODv7w9FN/ZsJSshBBoaGlBaWorQ0FCoVL1bWofvKkRELlRvMKF5fWK22LmBiEANRiWG4ZcTVcjKK8FtE5KkLklWbDs42MId9VxoaGi7HTF6gsGOiMiFapu7YX1VSmjUHA3jDjKHxOCXE1VYf5DB7rcUCgX69u2L6OhoGI1GqctxWz4+Pr1uqbORVbB77bXX8Pzzz6O4uBjp6el45ZVXMHbs2PPe7pNPPsGNN96IOXPm4D//+Y/zCyUi6qHW3bDstnIPmWkxWP6/fOw4VgFdkxFBbGltR6VSOSyYUO/I5uPip59+ikWLFmHJkiXIzs5Geno6Zs6ced7m3RMnTuDBBx/E5MmTXVQpEVHPtSx1wnDgLpKjAjEgMgBGs8CPh8qlLofonGQT7FatWoW77roL8+fPR1paGt544w34+/tjzZo1nd7GbDbj5ptvxt/+9jcMGDDAhdUSEfVMbaNtcWJZdZjQedhmx2Zx2ROSOVkEO4PBgN27dyMzM9N+TKlUIjMzE9u3b+/0dkuXLkV0dDQWLFjQpcfR6/Wora1t80VE5Eo6Pdewc0e27cU2FpTCZLZIXA1R52QR7MrLy2E2mxETE9PmeExMDIqLizu8zdatW/H2229j9erVXX6c5cuXIyQkxP6VkJDQq7qJiLrL1hXLGbHuZWS/UIT5+6C6wYjdJ6ukLoeoU7IIdt2l0+lw6623YvXq1YiMjOzy7RYvXoyamhr7V2FhoROrJCJqz9YVy+3E3ItapcS01GgA1r1jieRKFu8skZGRUKlUKClp+8tSUlLS4ZouR48exYkTJ3DFFVfYj1ks1qZxtVqNgoICJCcnt7udRqOBRqNxcPVERF3H7cTc14whMfgyuwjrD5bgkcuGcFYzyZIsWux8fX0xatQoZGVl2Y9ZLBZkZWVhwoQJ7c5PTU1FTk4O9u7da/+68sorMW3aNOzdu5ddrEQkWy3bicniczV1w+RBUfBVKXGiogFHy+qlLoeoQ7J5Z1m0aBFuv/12jB49GmPHjsVLL72E+vp6zJ8/HwBw2223IS4uDsuXL4dWq8WwYcPa3D40NBQA2h0nIpITW4sdlztxP4EaNSYkR2DLoTJsyCvBwOhAqUsiakc2wW7evHkoKyvDE088geLiYmRkZGDdunX2CRWnTp2CUimLBkYioh6zT57gPrFuKTMtxhrsDpbgnqnth/wQSU1W7ywLFy7EwoULO7xu8+bN57ztO++84/iCiIgczL7zBFvs3NL01Gg8DmD3qSpU1OkREchx2yQvbAIjInIh216xnDzhnmJD/TA0NhhCABvzufE9yQ+DHRGRC3G5E/dnW6yYy56QHDHYERG5iBCiZbkTdsW6rRnN24v9eKgcTUazxNUQtcVgR0TkInqTBUazAMCuWHc2NDYYfYK1aDSasf1ohdTlELXBYEdE5CLHy61rnwX4qhDgq5K4GuophUKBzDTrLhTr2R1LMsNgR0TkIvsKqwEAI+JDuWuBm7ONs8vKK4HFIiSuhqgFgx0RkYvsbQ52Gf1CJa2Dem9CcgQCfFUoqdUj90yN1OUQ2THYERG5iC3YpceHSloH9Z5GrcKUQVEAgA0H2R1L8sFgR0TkAg0GEw6V6AAAF7DFziPYumPX53E9O5IPBjsiIhfIOV0DiwD6BGsRE6yVuhxygGmp0VAqgLyztThd1SB1OUQAGOyIiFxi3+lqAEBGQqikdZDjhAf4YnRiOAAgi612JBMMdkRELmAfX8dg51Fsy55wFwqSCwY7IiIX2FdonTmZnhAicSXkSLZxdjuOVUDXvKsIkZQY7IiInKxU14Si6kYoFNY17MhzDIgKxICoABjNAj8eKpe6HCIGOyIiZ7O11qVEByJQo5a4GnK0Gc2tduyOJTlgsCMicjLbjhOcOOGZMtOswW5jfilMZovE1ZC3Y7AjInIyTpzwbCP7hSHM3wc1jUb8erJK6nLIyzHYERE5kcUiuNSJh1MpFbg4tbk7lrtQkMQY7IiInOhYeT10TSZofZQYHBMkdTnkJDOalz1Zn1cCIYTE1ZA3Y7AjInIi2/i64XEhUKv4luupJqdEwVelxMmKBhwtq5O6HPJifJchInIiWzdsOpc58WgBGjUmDowAAKw/yF0oSDoMdkRETmSbOJHRL1TSOsj5pnPZE6+TX1yL//t8H97eelzqUuwY7IiInKTJaEbe2VoAbLHzBplDrOPssk9VobxOL3E15AqHS+rw719P4/sDxVKXYsdgR0TkJAfP1sJoFogI8EV8mJ/U5ZCT9Q3xw7C4YAhhXdOOPJ8twEcFaSSupAWDHRGRk+xrtX6dQqGQthhyCdvesVz2xDuU6ZqDXSCDHRGRx8spsm4lNiI+ROJKyFVswe6nw+VoMpolroaczR7s2GJHROT5cpuD3fA4BjtvMTQ2GH1DtGg0mvHz0XKpyyEnK6tjix0RkVdoMJhwpNS6nhmDnfdQKBT2Vjsue+L52GJHROQl8s7WwiKA6CANooO1UpdDLpSZZg12WXklsFi4C4UnY7AjIvISOafZDeutxg8IR4CvCqU6vX2cJXkei0Wgot4AgMGOiMjj5RRZ168bymDndTRqFaYOjgLAxYo9WVWDAebmFtnwAF+Jq2nBYEdE5AScOOHdWsbZMdh5KtvEifAAX/jIaB9o+VRCROQhGg1mHC7VAWCw81bTBkdDqQDyi3U4XdUgdTnkBHJcww5gsCMicriDzRMnIgM1iAmW15s+uUZYgC9GJ4UDALLyODvWE8lx4gTAYEdE5HAt3bDB3HHCi82w7ULBcXYeSY7biQEMdkREDpfD8XWElmVPdhyrQG2TUeJqyNFsLXaRgfKZOAEw2BEROZytxW4Yg51X6x8ZgOSoABjNAj8eKpO6HHIwdsUSEXmBJqMZh207TnCPWK9na7XbwNmxHqeMXbFERJ7v4NlamC0CkYG+6MMdJ7yebZzdxvxSGM0WiashR2qZFSuv33MGOyIiB2rdDcuJE3RBvzCEB/iitsmEX09USV0OOVB5nfx2nQAY7IiIHIpbiVFrKqUCF6dGA+DsWE9iNFtQKcPtxAAGOyIih8ovti5MPDSWwY6sMlsteyKEkLgacoSK5tY6lVKBUD8fiatpi8GOiMiB6g0mAECYv7ze7Ek6k1Mi4atW4mRFA440T6wh99Z6qROlUl5DLhjsiIgcyNK8KbhKZm/2JJ0AjRqTkiMAAOvZHesRyuqaAMivGxZgsCMicigTgx11YPoQLnviScp1zePrZLZPLMBgR0TkULYWO7WSb6/UYvoQ6wSKPYXV9m48cl9yXcMOYLAjInIoW4sdcx211jfED8PjQiAEsCm/VOpyqJdaxtgx2BEReTSLYIsddcw2O5bj7NyfXLcTAxjsiIgcqmWMncSFkOxkplm7Y386XIYmo1niaqg3GOyIiLyE2R7s+PZKbaX1DUZsiBZNRgu2HSmXuhzqhXLbGDt2xXqXmkYjrn59G65+fRsXpSTyEvZgx+3E6DcUCgUy01oWKyb3xRY7L2W2COw5VY09p6rBXEfkHezBTsVgR+217EJRap9BTe6l0WCGTm9diJzBzsvwbZ3I+5jty53wHYDaGzcgHIEaNcp0euQU1UhdDvWArRtWo1YiUKOWuJr2GOxchJ/LiLyDubl5XsmuWOqARq3C1EFRANgd665KW3XDKmT4e85g50StX2+OsSPyfEfL6iAEoFQA/r4qqcshmbLNjl3PXSjckpzH1wEMdk6lYGcskVf5eOcpAMDFqdEIkGEXDcnDtMHRUCkVyC/WobCyQepyqJvkPCMWYLBzGbbXEXm2JqMZn2efBgDcNK6fxNWQnIX6+2J0YhgAIIvdsW6HLXberE1XrHRlEJHzrcstRnWDEXGhfpg6KFrqckjmZqS1zI4l92LbJ1aO24kBDHZERA7xUXM37LwxCVBxRiydx/TmZU92HKtAbZNR4mqoO9hi58XaTJ5gZyyRxzpUosOuE5VQKRWYNyZB6nLIDfSPDMDA6ECYLAJbCsqkLoe6gcHOi/EzO5F3sLXWTU+NRkywVuJqyF20LFbMcXbuxD55gsHOu3GMHZFnajKa8SUnTVAPzGhe9mRTfimMZovE1VBXCCFaWuw4xs77yHHhQiJyrG/3n0VtkwnxYX6YkhIldTnkRjISwhAR4IvaJhN+OVEpdTnUBTq9CXqTNYSzxc4LMdYReb6Pdp4EANw4th+UnDRB3aBSKnBxqrXVbsNBzo51B7bWuiCNGlofeS5CzmDnIuyKJfI8+cW1yD5VDbVSgetGx0tdDrmhzOZlT9bnFXOHIjcg94kTAIOdU3FWLJFns02amJEWg+ggTpqg7pucEglftRKFlY04XFondTl0HraJE5EMdt6JW4oRea4GgwlfZRcB4KQJ6jl/XzUmJUcA4N6x7oAtdmTHFnYiz/LtvrPQ6U3oF+6PScmRUpdDbiwzjcueuAu5z4gFGOycqm1XLBF5kg93WbthbxrHSRPUO9NTrcFub2E1SnVNEldD58IWOyIiD1RQrMO+wmr4qBS4dhQnTVDv9AnRYkR8CISwrmlH8mXbJ5YtdsTZTkQeJLeoBgAwKjFMthuBk3ux7UKxnsueyJrcd50AZBbsXnvtNSQlJUGr1WLcuHHYtWtXp+d++eWXGD16NEJDQxEQEICMjAy8//77Lqz2/NgVS+SZTlTUAwD6RwZKXAl5Cluw23qkDE1Gs8TVUGfYFdsNn376KRYtWoQlS5YgOzsb6enpmDlzJkpLO/70Eh4ejkcffRTbt2/H/v37MX/+fMyfPx/ff/+9iyvvHGfFEnmmExUNAICkCH+JKyFPMaRvEOJC/dBktGDbkXKpy6EOWCwC5XUGAAx2XbJq1SrcddddmD9/PtLS0vDGG2/A398fa9as6fD8iy66CFdffTWGDBmC5ORk3H///RgxYgS2bt3q4sq7hj2xRJ7jZHOLXVJkgMSVkKdQKBTIHNK8CwVnx8pSVYMBZouAQgGEB/hKXU6nZBHsDAYDdu/ejczMTPsxpVKJzMxMbN++/by3F0IgKysLBQUFmDJlijNL7RZuFUvkeYQQOF7eHOwiGOzIcVqWPSmFxcLWALmxTZwI8/eFj0oW8alDaqkLAIDy8nKYzWbExMS0OR4TE4P8/PxOb1dTU4O4uDjo9XqoVCq8/vrrmDFjRqfn6/V66PV6++Xa2treF99V/B0l8ghVDUbomkwAgH7h7IolxxnXPwKBGjXKdHrsL6pBRkKo1CVRK+6whh0gkxa7ngoKCsLevXvxyy+/4Omnn8aiRYuwefPmTs9fvnw5QkJC7F8JCQlOra91gx23FCPyDLaJE31DtPDzlecm4OSefNVKTB0cBQDYwF0oZMcdZsQCMgl2kZGRUKlUKClp+x+5pKQEffr06fR2SqUSAwcOREZGBh544AFce+21WL58eafnL168GDU1NfavwsJChz2HjijYF0vkcWzj6xI5cYKcYMYQ7kIhV+4wIxaQSbDz9fXFqFGjkJWVZT9msViQlZWFCRMmdPl+LBZLm67W39JoNAgODm7z5SqcPEHkGY6X22bEcnwdOd5Fg6OgUiqQX6xDYWWD1OVQKwx23bRo0SKsXr0a7777LvLy8nDvvfeivr4e8+fPBwDcdtttWLx4sf385cuXY/369Th27Bjy8vLwwgsv4P3338ctt9wi1VNop21XLBF5gpYWOwY7crxQf1+MSQoDwFY7ubEFu8hA+c6IBWQyeQIA5s2bh7KyMjzxxBMoLi5GRkYG1q1bZ59QcerUKSiVLTm0vr4ef/jDH3D69Gn4+fkhNTUVH3zwAebNmyfVU2iHPbFEnudoWR0AoD+XOiEnyRwSgx3HKrEhrwTzJ/WXuhxqVuYmY+xkE+wAYOHChVi4cGGH1/12UsRTTz2Fp556ygVVOQa3FCNyfxaLwJFSa7BLieGuE+QcM9Ji8NTaPOw8VomaRiNC/HykLokAlOuaFycO1EpcybnJpivWE7WePMFYR+T+iqob0WS0wEelQCKXOiEnSYwIQEp0IEwWgS2HyqQuh5q5S4sdgx0RURfZWusGRAZCLeMFSsn92Rcr5rInsmA0W1BZL//txAAGO5dhTyyR+7MFu4HR7IYl58psXvZkU0EpjGaLxNVQRfMesWqlAqEy7xpnsHMyW28sFygmcn+HS3UAGOzI+TISQhEZ6Atdkwm/HK+UuhyvZ5sRGxHoC6VS3jMjGeycTN4vPxF1B1vsyFVUSgUuTo0GAKznsieSc5ddJwAGO9dhgx2RWxNC4DBnxJILZbbahYIrK0jLXfaJBRjsnI7bihF5hrI6PXRNJigVXMOOXOPClEj4qpUorGzEoZI6qcvxau4yIxZgsHMZftYicm+2GXHhAb7QqFUSV0PewN9XjQsHRgLgLhRSc5ftxAAGO6eztdexFZ3IvdXrzQAAP1+GOnIdW3fsei57IqmW7cQY7Lwee2KJPEOjwRrs/H1ktWEPebjpQ6wTKPYWVqNU1yRxNd6LXbHUDpc7IXJvDQYTALbYkWvFBGuRHh8CANiYVypxNd6rnJMnyEbR3BnLrlgi99ZobG6xY7AjF2uZHctgJxWOsaMW7Iol8gi2MXb+vuyKJdeybS+29UiZfUgAuU6jwQyd3tpiz2BHdmywI3JvVQ3WWbEBGrbYkWul9glCXKgfmowWbDtSLnU5Xse2OLFGrUSgRv4f7BjsnKxlViyjHZE7+/mo9Q/q8LgQiSshb6NQKDAjrWWxYnKt1hMn3GFtWgY7J3OD/wNEdB51ehN2Ne/XadvmiciVWo+zs1jYUOBK7jS+DmCwcxk22BG5r62Hy2E0CyRG+HPXCZLE2P7hCNKoUV6nx77T1VKX41VOVzUCAGKCtBJX0jUMdk6m4OwJIre3Kd86G3Ha4Gi36Iohz+OrVmLq4CgA7I51tf3NQTotNljaQrqIwc7J+DeAyL0JIbCpwBrs2A1LUrKPszvIZU9caf/pGgBAekKotIV0EYOdi7Arlsg9HThTi1KdHn4+KoztHy51OeTFLhoUDZVSgYISHU5VNEhdjleoaTDieHk9AGCEm0ycYrBzMjbYEbm3zc2tdZMGRkLrw6VOSDoh/j4Ym2T9cMHuWNfYX1QNAEiM8EdYgK+0xXQRg52LcEsxIve00Ta+LjVK4kqIWhYrZrBzDVs37Ij4UGkL6QYGOyezDbRmVyyR+ymsbMCewmoA1okTRFLLHGL9f7jzeCVqGowSV+P59jb//tv263UHDHZOxq5YIvf1yS+nIARw4cBIxIb6SV0OERIjAjAoJhBmi8DmQ5xE4Wy2GbHuMnECYLBzGTbYEbkXo9mCT385DQC4aVw/iashatF6sWJynuKaJpTU6qFSKjDUTZY6ARjsnK+5yY5bihG5l/UHS1Bep0dUkMa+zASRHNjG2W0uKIXBZJG4Gs9lWwg6JToQ/r7y3yPWhsHOydgVS+SePtp5CgBw/eh4+Kj4VknykREfishAX+iaTPjlRKXU5Xisfc3j6zLcqBsW6EWwu/POO5Gfn2+/vG/fPnz88cc4deqUQwrzNGyvI3IfJ8rrsfVIORQK4IYx7IYleVEqFZieam21W3+Qs2OdxR1nxAK9CHY//vgjUlNTAVhD3aRJk/D+++9j2rRp2LRpk8MKdHecFUvkfj7eZf2AOnVQFBLC/SWuhqi96c2zYzfklXCojxNYLMLeFZue4D4zYoFeBLuQkJYnumbNGsyfPx/fffcdNmzYgCeeeMIhxXkCpb0vlr94RO5AbzLjs93WSRM3j0uUuBqijl2YEgmNWonTVY0oKNFJXY7HOVFRD12TCRq1EoNigqQup1t6HOwSEhKwYcMGNDQ04Msvv8S1114LAOjfvz/q6+sdVqC7Uza32Jk5vpXILazLLUZlvQF9grWYNpiLEpM8+fuqceHASADABnbHOpyttW5YXIjbjbHtcbV///vf8eSTTyIsLAwpKSmYOnUqAMBkMkGn46cHG6XSFuzYYkfkDmyTJuaNSYDazd7Qybu07ELBZU8cbV+hbXyde3XDAkCP5+/Gx8dj69at0Ov10Gg09uMbN27ERRdd5IjaPIKtK9bCMRBEspdfXIudxyuhVAA3jE2Quhyic5qeah1nt7ewGqW6JkQHaSWuyHPYx9e52cQJoBctdk899RQAtAl1AHDJJZdg9erVvavKg6iau2IZ7Ijkb83W4wCAWcP6om8Id5ogeYsO1tp3RNjIVjuHMZotOHCmFoB77Thh06tZsW+//Xa74xaLBYsXL+5VUZ7E1hXLnlgieSuv0+M/e88AAO64sL/E1RB1zYxWs2PJMQqKdTCYLAjWqpEU4X6z4nsc7L744gu8+eab+O9//2s/dvr0aUyePBnFxcUOKc4TtEyeYLIjkrMPdpyEwWRBRkIoRiWGSV0OUZfYxtn9dLgcjQazxNV4hn2t9oe1LVnmTno8xi4oKAjffPMNMjMzERERgfLyctx///146qmncPPNNzuyRremUtrWsWOwI5KrJqMZH+w4CQBYwNY6ciODY4IQH+aH01WN2HqknNvfOYBtxwl3nDgB9CLYPfbYYxg2bBiWLVuGefPmIT4+Hhs3bkT//nxTbM0W9tliRyRf3+w7g/I6A2JDtJg1rI/U5RB1mUKhQOaQGLzz8wlsOFjCYOcAth0n3HHiBNCLYBcREYH169cjNzcX1dXV8Pf3x+LFizFs2DAMGzYMV111lQPLdF8tkyckLoSIOiSEsE+auH1iEpc4IbczI80a7LLyS2CxCPvYbuq+BoMJh5oXfHbHiRNAL4LdX/7ylzaXjx8/jtzcXOTm5uLzzz9nsGum5KxYIln7+WgF8ot18PdVcV9Ycktj+4cjSKtGeZ0Be09XY2Q/jhHtqdyiWlgE0CdYi5hg91w+plsfTbOysjB+/HhotVoEBQVhzJgxePbZZ6HT6dC/f39cccUVWLx4MT744ANn1et2WmbFMtgRydHbza11146KR4i/j8TVEHWfj0qJiwY3z47lLhS94u7j64BuBLudO3di1qxZ0Gg0eOyxx/D4449jxIgRWLlyJYYNG4b9+/c7s063peQYOyLZOlZWh435pVAogPmTOD6Y3Fcmlz1xiNYzYt1Vl7tin3vuOcyZMwefffZZm+MNDQ24++67MXv2bOTk5CA0NNTRNbq1llmxEhdCRO18l3MWADB1UBT6RwZIXA1Rz100KBpqpQKHSupwsqIeiRH8/9wT7j5xAuhGi9327duxcOHCdsf9/f3x7rvvIj4+Hm+88YZDi/MECq5jRyRb245UAGjZmonIXYX4+2Bs/3AA3Du2pyrrDThV2QAAGO4NXbFlZWWdLmWiVCpx//33Y+3atQ4rzFOouFcskSw1Gc3YfaoKADBxYKTE1RD1XuYQ61InHGfXM/ubu2EHRAYgxM99x9t2OdiZzWZotZ3PEBk1ahQKCgocUpQn4axYInn69UQVDCYL+gRrMYDdsOQBbMFu14lK1DQYJa7G/ewrbO6GdePxdUA3Z8W+99572LlzJ5qamtpdFxwcjOrqakfV5TFss2LNFokLIaI2th4pBwBMGhjpltsGEf1Wvwh/DI4JgtkisPkQu2O7y9Zi584zYoFuTJ6YPHkyli1bBp1OB7VajcGDB2PUqFEYOXIkRo0ahZiYGJjN3Kfut1RssSOSHSEENuVb//BNGhghcTVEjpOZFo2CEh3WHyzBnIw4qctxG0IIj5gRC3Qj2G3ZsgUAcPjwYezevRvZ2dnIzs7GN998g+rqan7i7YSyuU2UwY5IPv6XW4yCEh0CfFWYNpgTJ8hzZA6JwWubjmJLQRkMJgt81dxJpSvO1DShvM4AtVKBtL7BUpfTK93eeSIlJQUpKSm44YYb7MeOHz+OX3/9FXv27HFocZ6AY+yI5MVktmDlD9bxwAsmD0BYgK/EFRE5Tnp8KCIDNSiv02PX8UpcmMKJQV1hW5h4cJ8gaH1U0hbTSw6J8v3798d1112HZ555xhF351GUCo6xI5KTL/cU4VhZPcL8fXDXZC5KTJ5FqVRwseIe8JRuWMBBwY46p+KWYkSyoTeZ8fKGwwCAP1w0EEFa913SgKgz023LnuSVQPBvT5fYWuzS3XziBMBg53S2LcUsXKCYSHIf7jiFoupG9AnW4tYJiVKXQ+QUFw6MhEatxOmqRhSU6KQuR/bMFoHcoloAbLGjLmgZYydxIURerk5vwmubjgAA7pue4vbjaIg64+erwuTmsXVcrPj8jpXVoU5vgp+PCgOjAqUup9cY7JzMPsaOzeFEkvrX1uOoqDcgKcIf142Ol7ocIqeyLVa8ntuLnde+5v1hh8eFQK1y/1jk/s9A5kzNTXXsiiWSTlW9AW/+eAwAsOiSwfDxgDdvonO5uHkCxb7CapTWtt9UgFrYxte5+8LENnx3czLbrKSv9hRJXAmR93pjy1Ho9CYM6RuMy4f3lbocIqeLDtIio3m8WFY+W+3OZb8HzYgFGOycLlhrXSowtU+QxJUQeafimia88/MJAMBDMwfZt/kj8nQz0ppnx3KcXaf0JjMOnm2eOBEfKm0xDsJg52Qzh/YBACSE+0tcCZF3em3TEehNFoxODOMuE+RVbOPsth4pR4PBJHE18pR/VgejWSDM3wcJ4X5Sl+MQDHZOZhuIaeYYOyKXazCY7MMg/jJjELc+JK8yKCYQCeF+0Jss2Hq4XOpyZMm2MPGI+FCPeX9gsHOyb/Za/6h8vvu0xJUQeZ/vDxSjTm9Cv3B/TBgQIXU5RC6lUCjsrXbchaJj+wqtM2I9ZXwdwGDndPUGMwDgVGWDxJUQeZ8vdls/WM0dGcexdeSVZjQHu6y8UvYcdcC+lZiHzIgFGOyIyEOdqW7EtqPW7qdrRnLdOvJOY/qHI0irRkW9AXubl/Ugqzq9CUfL6gBYu2I9BYOdk0UE+EpdApFX+mpPEYQAxg8I5+Ql8lo+KqV90hC7Y9vKOV0DIYC4UD9EBWmkLsdhGOyc7PaJSQCAG8f2k7YQIi/zdfP4VrbWkbfL5LInHbJ3wyZ4TjcswGDndLYV7o1mi8SVEHmPwsoGHCqpg0qpwCVpfaQuh0hSUwdFQa1U4HBpHU6U10tdjmzsbzUj1pMw2DmZj8o6YNvEYEfkMrYupzFJYQjx95G4GiJphfj5YNyAcADsjm3NNiPWU7YSs2GwczJfta3FjrORiFxlY/MWStNTYySuhEgeuOxJW2U6PYqqG6FQAMPjGOyoG9RK64/YwBY7Ipeoqjdgx7EKAC0boRN5O1uw++VEFaobDBJXIz1bN2xyVCCCtJ7Vqs9g52S2rliOsSNyjS+yT8NoFkjrG4wBkQFSl0MkCwnh/kjtEwSzRWBzQZnU5Uiqqt6A7w8UA/Cc/WFbU0tdgKezdcWa2BVL5HRCCHy08xQA4JbxiR6zRRCRI2QOiUF+sQ7r80pw1QVxUpfjMkazBXsLq/HjoTL8eLgc+09XQzT/Sb6gX6iktTkDg52TsSuWyHW2H6vAsfJ6BPiqcGVGrNTlEMlKZloMXt10BFsKymAwWewND57oVEUDthwuw0+HyrD9aAV0elOb6wfHBGFaajTmjvS8gCurYPfaa6/h+eefR3FxMdLT0/HKK69g7NixHZ67evVqvPfee8jNzQUAjBo1Cs8880yn50vF3PyxYNfxSokrIfJ8Hza31l11QRwCNbJ6eyOS3Ii4EEQFaVCm02PX8UpcmBIpdUkOU6c3YfvRCvx4qAw/HS7DiYq223iG+fvgwpQoTEmJxOSUKPQJ0UpUqfPJ5p3v008/xaJFi/DGG29g3LhxeOmllzBz5kwUFBQgOrr9AOjNmzfjxhtvxMSJE6HVavHss8/ikksuwYEDBxAXJ58E/tmvhVKXQOQVKur0+KF53MzN4xIlroZIfpRKBaanRuOTXwqxIa/ErYOdxSKQe6YGPx0ux5ZDZcg+WQVTq71w1UoFRiaGYUpKJKYMisLQ2BCovGS/aNkEu1WrVuGuu+7C/PnzAQBvvPEG1q5dizVr1uDhhx9ud/6HH37Y5vJbb72FL774AllZWbjttttcUnNXcNNlItfIyiuF0SwwNDYYabHBUpdDJEuZQ2LwyS+FWH+wBEuuSHOrcagltU32cXJbD5ehqsHY5vqkCH9MTonClEFRGD8g3ONmu3aVLIKdwWDA7t27sXjxYvsxpVKJzMxMbN++vUv30dDQAKPRiPDw8E7P0ev10Ov19su1tbU9L7qLoj1o/zkiOfuhebsk7jRB1LlJAyOh9VGiqLoR+cU6DOkr3w9BZovAtiPl+OlwGX48VI6CEl2b6wM1akxMjsDkQVGYmhKFfhHcExqQSbArLy+H2WxGTEzbxURjYmKQn5/fpfv461//itjYWGRmZnZ6zvLly/G3v/2tV7V2lydtLEwkV40GM7YesS7hkJnGteuIOuPnq8KFA6OwIa8EGw6WyDrYLfv2IN75+YT9skJh3f7L1r2akRBq37aTWsgi2PXWihUr8Mknn2Dz5s3QajsfELl48WIsWrTIfrm2thYJCQlOrS0ykMGOyNm+P1CMJqMFcaF+SJPxHyoiOZiRFm0Ndnkl+NP0FKnL6VROkXXLr4tTo3H1BXG4cGAkwgJ8Ja5K/mQR7CIjI6FSqVBS0nark5KSEvTpc+5ulZUrV2LFihXYsGEDRowYcc5zNRoNNBrXBi222BE5lxACb209BgC4cWyCW40ZIpLCxakxUChysO90DUpqmxATLM8ZolX11h0y7p4yAOMGREhcjfuQRRumr68vRo0ahaysLPsxi8WCrKwsTJgwodPbPffcc1i2bBnWrVuH0aNHu6LUbosOavmFsXAiBZHD7TpeidyiWmh9lLiJs2GJzisqSIOMhFAA1klHclXVvPUZW+m6RxbBDgAWLVqE1atX491330VeXh7uvfde1NfX22fJ3nbbbW0mVzz77LN4/PHHsWbNGiQlJaG4uBjFxcWoq6uT6il0qHWLXRX35yNyuLe2HgcAXDMyHuH8A0DUJba9YzfklZznTGmYLQLVjdZZr2H+/L3uDtkEu3nz5mHlypV44oknkJGRgb1792LdunX2CRWnTp3C2bNn7ef/4x//gMFgwLXXXou+ffvav1auXCnVU+hQXJif/XsufULkWMfL6+1/mO64sL/E1RC5jxlp1r+tW4+Uo8FgOs/ZrlfTaLRv+xXq753LlvSULMbY2SxcuBALFy7s8LrNmze3uXzixAnnF+QAAb4q+/cmBjsih3pv+wkIAUxPjUZyVKDU5RC5jZToQPQL98epygb8dLgcM4fKa5mgyubxdcFaNWe+dhN/Wk7WeiB3g8EsYSVEnsVotuCbvWcAALeM59g6ou5QKBQt3bEH5dcdW83xdT3GYOcCtmZki2CLHZGjbD1Sjop6AyICfDHZjbdGIpKKbc3HjfmlshsqZGux4/i67mOwc4EAX2uPdyNb7Igc5qvsIgDAFemxULOrhqjbxiSFI1irRkW9AXsLq6Qupw3bZENOiOo+vhu6gF/zOLtGI4MdkSMcLavD2hzrZKq5I+MkrobIPfmolJiWam21W39QXsueVNZbZ8Ry4kT3Mdi5gJ8Pgx2RI638vgBmi8D01GiMiA+VuhwityXXZU9sY+zC2RXbbQx2LmBrsWvQM9gR9Vb2qSr8L7cYSgXwf5emSl0OkVubOjgKaqUCR0rrcLy8Xupy7Oxj7NgV220Mdi4QqLGOsavXy2+tICJ3IoTAiv/lA7AuSDy4T5DEFRG5t2CtD8Y3b9eVJaNWO46x6zkGOxewzYYt1TVJXAmRe9tUUIpdxyuhUSvxlxmDpC6HyCNkDrGNs5NPsGuZFcsxdt3FYOcCmwvKAAD/2nZC2kKImlksQnbLG5yP2SLw7P8KAAC/m5SE2FC/89yCiLpievM4u19PVtnHtkmtuoHbifUUg50LTBscBQAY2z9c4kqIgIo6PTKW/oAH/r33nOeV6ppQUad3TVFd8GX2aRSU6BDi54M/TB0odTlEHiMh3B+pfYJgtgh7Q4TUKtkV22MMdi4wsl8YAE7bJnk4eLYWtU0mfL3vDEpr2w8P0DUZsezbg5iwfCOufHUb9CbpJ/0IIfBy1mEAwB+nJSOEv0tEDmXbO3a9DMbZmS0CNY225U4Y7LqLwc4FVCrrtmK7T8prAUjyTraFsoUA1h0obnOdxSIw59VteHvrcZgtAkXVjdh7qlqCKts6UlqH01WN0KiVuHV8ktTlEHkc27InWwrKYDBZJK2lptEI20ZNbBDpPgY7FzhQVAsAOFRSJ3ElRG3XU1y7/2yb62qbjDjWvORBenwIAGDb0QrXFdeJrUfKAViHM9iWDyIixxkeF4KoIA3q9CbsPC7t77xt4kSwVg0f7irTbfyJuQDHCJCcNLTa2m7Xico2s7WN5pYJFTeN6wcA+Lk5VElpW3MNkwZyT1giZ1AqFfbZsRsknh3LpU56h8HOBcYN4KQJko/WwU4I4Pvclu5Yo9naBeOrUmJisjVE7S2slnQNxpoGI7Y3txpeyGBH5DQtu1CUQgjpZs3bWuw4vq5nGOxcoG+IFgCQGOEvcSXkzU5VNGDDwRKU6awzXdVK69jP73Jagp2pucVOrVIgIdwfCeF+MFkEdh2vdH3BzV7OOox6gxmDYgKR1jdYsjqIPN2kgZHQ+ihRVN2IvLM6yeqoZotdrzDYuYC/r23nCelnF5J3slgEbnl7J+5871e8seUoAOCiwdZul53HK1DevKyJ0WJtsbONa5nU3Gq3TaLu2KNldXhv+wkAwGOz06BsDqNE5HhaHxUmp1iX55Jy79jKeq5h1xsMdi4Q0Bzs6vRGiSshb5V9qgqnKhvaHBs/IBwj4kNgEcC65u5YW1esT/NM7onNXZ9STaBY/l0eTBaBi1OjMWVQlCQ1EHmTGfbuWOmCXcsYO86I7Qm11AV4A9ssviajBSazBWrO8iEX+7Z59uvckXH4w0XJOFJaj4sGR8FkEdh/ugbf5ZzFLeMT7V2xtha7icnWPSTzztaiok6PiECNy2reergcG/JKoVYq8MhlQ1z2uETebFpqNBQKYP/pGhTXNKFP81AiV+IYu95hwnCBIG1Lfq5uZKsduZYQAt/lWIPd5SP6YmB0EC4d1gdaHxVmD+8LANhxzNoda2husVM3t9hFBmqQ2icIALD9mOta7UxmC5Z9exAAcMv4RAyMDnTZYxN5s6ggDS5ICAUAZOVL02rHMXa9w2DnAlofFTRq64/atv8dkavUNplQ2jxhwjbT1SYh3B/D46zdsT8cKGnXYtf6NtuOuC7YffproX37sD9nprjscYkIyGzehUKqZU9sLXYcY9czDHYuEqS1jhWQywbL5D2amhckVisV0Pq0X9x31vA+AIDvcs62jLFTtrw1TBpo7Y79+ahrJlDUNhmx6odDAIA/Z6awO4bIxWzj7LYdrZBkqaOqBtvkCY6x6wkGOxexzTpcs+24xJWQt7FtIebXQagDYO+O3X6swj7BIkDTcu7Y/uFQKRU4WdGA01UNHd6HI72+6Sgq6g0YEBWAW8YnOv3xiKitgdGBSIzwh8FkwU+HXT8j3tZix67YnmGwc7HWa4YRuYJtCzFtJ1txJUYEYGhsMMwWgc9+LQQAhPi1fFIO0vrYtxf72cndsWeqG+0ffh6ZNYTbCRFJQKFQtFqs2LXdsSazBbVNzS12DHY9wndNIg9mNFvsO0101mIHAJc1t9pln6oG0DbYAS1beW1zcnfsSxsOwWCyYGxSOKY3b29ERK5nC3Yb80thtrhuF4qaRiNsm16E+rErticY7IjcnNFswfqDJe3Gwmw5VIbUx9fh1rd3AuhasLMJ/s0bqm0Cxc9HK5y21dChEh0+330aAPDwZalQKLgYMZFURieFIcTPB5X1Buw5VeWyx7WtYResVXNpsB7iT43Izb3103Hc9d6vuOXtnfbxdADwxuajMFuEvcUu5hzrUfWPDMCQVtt1/bbFbmRiKLQ+SpTp9DhcWufgZ2D13Lp8WARw6dA+GNkvzCmPQURd46NSYtpg66Lg613YHWvbdYLj63qOwc5FbMudEDnaV3usrVx7TlXjvk/2wGwROFlRj+3HKqBQAGt+NxrPXzsCz1w97Jz3M7t5diwABGvbBjuNWoUxSeEAnLO92JFSHTbklUKpAB66dLDD75+Iuk+KZU9sLXYcX9dzTBsuYtt/j8gR3vrpGIY/+T1mvfwTDpXUwUelgK9aifUHS/DkNwfw2qYjAKz/7y5OjcF1oxMQH+Z/zvts3R372xY7wLnr2X248xQAYPqQGCRHcTFiIjmYMigKPioFjpbV43h5vUses4pr2PUag52LTB3UsjCss8Yokff44WAJdE0m5J2tBQBcNDgaL8/LgEIBvL/jJP7962koFMA9Uwd0+T4HRAUirbk7tm9o+25b23p2O49VwNS83p2j7DpeCQC4Mj3WofdLRD0XrPXB+AHW3/ssF3XHVjYw2PUWg52LtG6xO1nh/LXAyLPZPhz8bmISFs9KxdI5QzFreF88PjvNfs6fpg1st9PE+bx280g8e81wXDiw/e2GxoYgWKuGTm9CTlFN755AK8U1TfaAOqJ5WRUikgfb7Nj1LuqOrbKvYccZsT2lPv8p5AiJES3dYD8dLkNSZICE1ZC7s60+MCE5AjOHtoyNu+PC/gjUqFFS24Q/TBvY7fvtHxmA/p3831QpFZiQHIHvD5Tg56MVuMBBExze+fkELMK6EHJiBH8viORk+pBoLPnmAH49WYWqeoPTx77Zd53gGLseY4udi7ReumHLIdev5E2exdLcYqfsYEmQ68ck4E/TU6BSOn65ENt6do7aXuxIqQ5vbz0GALhrcte7jYnINeLD/DGkr3UB882HSp3+eBxj13sMdhL48XCZ1CWQG9tyqAwHz1i7Lltv/eUKtq7dX05UtVlapSeEEHj0q1wYzQLTU6ORyQWJiWRpRvPv5oaDzg92HGPXewx2EjCYHDvwnLzHnlNVuOvdX6E3WXDR4CiM6x/h0sdPjgpAfJgfDCYLtvTy0/uX2UXYebwSWh8lnrxyKBckJpKp6c3j7LYcKoPe1LsPdOdTxX1ie43BjshN1DQYsfCjPTCYLcgcEoM3bx3tlO7Wc1EoFPZlUdb2Yt/j6gYDnv4uDwBw//RBSAg/91IsRCSd4XEhiA7SoE5vws5jlU59LPsYO39OnugpBjsiN7FqfQGKqhvRL9wfq+alw1eiRa9nDbNO1sjKK0GTsWef3p9dV4DKegNSogOx4ML+jiyPiBxMqVTYW+02OHHZE5PZgppGTp7oLQY7F0qO4ow/6pmTFfX2RXxXzB3ebmcIV8pICEVcqB8aDGZsOdT98aK7T1bh413W5/LUVcMkC6hE1HUz0mzj7EqcthZrfrEOAKBWKhDawSLp1DV8R3WhZVede0snos58mV0Ek0VgckokJnawxpwrKRQKe6vddzlnu3Vbk9mCR7/KAQBcOyoe4wa4dowgEfXMxORI+PmocKamCQeb1510tNU/WWfIzxreF2oV40lP8SfnQq1n+fS0C4u8U2GldVHrCcnyCEKXjbCOs8vKK+3W/+V3fj6B/GIdQv19sHhWqrPKIyIH0/qoMDnF+qHSGbNjT1c14Nv91g+Kd0/h0ke9wWDnQoNiguzfF1U3SlgJuZvTzf9f4kL9JK7EKiM+FH1DtKjTm/BjF7tjz1Q3YtX6QwCAhy9NRUSgxpklEpGDZaY5b5zdmq0nYLYITEyOwLA47kDTGwx2LtR6BuNbzU3OROeTX1yLvYXVANDprhCuplQqMGuYtdXuf7ldmx279L8H0WAwY1RiGK4fneDM8ojICS5OjYZCAeQU1eBsjeMaJ2oajPjkF+u429+zta7XGOwksqWAixRT5345UYk5r21D2hPrMOvln2AwWTBtcBSGy+iT7OwR1nF2Gw6WnHdtqx8PlWHdgWKolAo8ddUwKF28TAsR9V5koAYjm7cSzMpzXHfsBztPosFgRmqfIEwdFHX+G9A5MdhJ5ExNk9QlkEyt2Xoc172xHfsKq9FgMEMIYFBMIFZely6rRXwvSAhDn2AtdHoTfjrHNnkGkwVP/vcAAOD2CUkY0jfYVSUSkYNlOnjZE73JjHd+PgHAuq2gnN7j3BWDHZGM5J2txfL/WRfuvW5UPLIemIpfHs3E/+6fIrsxaUqlApd2YXbsv7Ydx7GyekQG+uLPM1JcVR4ROYFt2ZOfj1SgXm/q9f39Z08RynR69AnW4or02F7fHzHYuVzrteyctRYQua9XNh6G0SwwIy0Gz107AslRgYgK0rh8h4mumt08O3Z9XsfdscfL6/HShsMAgL9emirp+ntE1HvJUYFIivCHwWzBT73c99xiEXjzR+t48zsuTOKalg7Cn6KLrfndGPv3O5y8NQu5n/yz1gU6b5+Q5BZdEqP6hSE6SANdkwnbjrTtjjWZLfjLp3vRaDRjYnIErhkZL1GVROQoCoXC3h27vpfLnmzML8XRsnoEadS4cWw/R5RHYLBzucSIlha7Rf/eK10hJCtV9QYs/y4PJyrqAQAD3GSXEuvsWGt37Nr9bWfH/mPzUewtrEaQVo2V16VzwgSRh7Ate7IxvwRmS897nmytdTeN64cgtuY7DIOdhM5yAgU1e/Q/Ofjnj8dgEcC4/uHoG6KVuqQuu2x4c3fswWIYTBYAQM7pGrycZe2CXTpnKGJlsv4eEfXe6MQwhPj5oKrBiOxTVT26jz2nqrDrRCV8VArMn8T9oh2JwY5IBnKKagBYt537+K7xbtENazM6KRxRQRrUNpmw7Wg5moxm/OXfe2GyCFw2vA+uyoiTukQiciC1SomLU1v2ju0JW2vdlelx6ONGH2TdAYMdkYRyi2pw69s7UVhpXexz1rA+btdlqWrVHfvd/rN4/vsCHCmtQ1SQBk9dNdytQioRdU1vlj0prGzAugPWoRtckNjxGOwk8Ow1w+3fNxq4Z6w3e/SrHPx0uBxKBXDbhEREymxJk66y7ULx3/1n8PbW4wCs/8/DA3zPdTMiclNTBkXCR6XA0bJ6HCur69Zt9xZWQwggPSEUg/sEnf8G1C0MdhK46oKWrqmHPt8nYSUkpSajGQfO1AIAvll4IZbOGSZxRT03tn84IgM1aDJax9jdOLYfLk6NkbgqInKWIK0Pxg+IAND9XShOVTYAAJJlskWip2Gwk4BGrbJ//+3+zhd2Jc/20+FymCwCkYEaDI11790YVEoFLh1mDXKJEf54bPYQiSsiImeb0Tw7dn03u2NPV1mDXUK4v8NrIgY7IknUNBrx0oZDAIC5I+M8YhzafRen4NbxiXjrttEI0KilLoeInGx68zi7X09Uoqre0OXb2VrsGOycg8FOIn/ObNlaiTtQeJ8/fLgbB87UIsTPB7dNSJS6HIeIDtZi2VXDkBLDMTNE3iAu1A9pfYNhEcCmgq53x9omiyWEcRkkZ2Cwk8j8iS3r9ny485SElZCr1TQYse1IBQDgwzvHIT6Mn1qJyD3ZFivu6uxYk9mComprsOsXwfc+Z2Cwk0iIf8sq24/9J1fCSsjVbJ9s40L9MCwuROJqiIh6LnOIdT27LQVlHe4X/Vtna5pgtgj4qpSICeL6dc7AYCcT7I71Dk1GM1b8Lx8AcP3oBImrISLqnWGxIYgJ1qDeYO7S/ueFzePr4sP83G7NTnfBYCeh5XNb1rPrv/g7CSshV7BYBP6edRjFtU2IDdHi7qlcmJOI3JtSqbBPoujKLhSFzTNi4zlxwmkY7CTEFhvvoTeZcfu/duH1zUcBAH+angKtj+o8tyIikr8ZrXahOF/vk21GbL9wTpxwFgY7Cal+0wxdrzdJVAk523/3ncVPh8vh56PC0jlDccMYhnoi8gwTkiPg56PC2Zom+6LrnWmZEcsWO2dhsJPY8eWX2b9/bl2+hJWQs5TqmvD899bXduHFA3HbhCSPWLeOiAgAtD4qTBkUCeD8s2NtXbH92BXrNAx2Emv9B55/7D3T3/57ECW1egyMDsTtE5OkLoeIyOEyh3Rt2ZNCLk7sdAx2MhDiZ1365J2fT0hbCDlcaW0Tvsuxbhv39xsuQCB3ZCAiD3RxajQUCiC3qBZnaxo7PKfBYEJ5nXWHCgY752Gwk4GEVoNIueyJZymqboQQzSu0u/l+sEREnYkI1GBUvzAAwIa8jnehsI2vC9aq7Q0a5HgMdjLwxi2j7N/PevknCSshR6tqsH46DdKypY6IPJt9F4pOlj35cOdJAED/qECX1eSNGOxkoPWWUvnFOrbaeZC3fjoOAGytIyKPZxtnt/1oBep+s8rDf/edwXvbrcHuz9NT2t2WHIfBTiamDoqyf3+6quPxCeRe9hVW4+ejFVArFVg0Y5DU5RAROVVyVAD6RwbAYLbgp0Nl9uNHSuvw8Bf7AQB/nJaMaanRUpXoFRjsZOLdO8bav5/83CYJKyFHEELgka9yAABXpse2aZUlIvJECoXCvnfs+ubZsQ0GE/7w4W7UG8wYPyAcf8nkh1xnY7AjcoL1B0tw4EwtfNVKPDJ7iNTlEBG5hK07dlN+KcwWgce+ysWhkjpEBWnw9xsvgFrF2OFssvoJv/baa0hKSoJWq8W4ceOwa9euTs89cOAArrnmGiQlWRd7femll1xXqAtU1hukLoF6aNfxSvzp4z0AgDnpsYgM1EhcERGRa4xKDEOovw+qGox4+Iv9+HJPEZQK4JUbL0B0kFbq8ryCbILdp59+ikWLFmHJkiXIzs5Geno6Zs6cidLSjqdNNzQ0YMCAAVixYgX69Onj4mqd46M7x9m/H7lsvYSVUE9VNxhw7we7oTdZMD01Gk9dPUzqkoiIXEatUuLiwdbu2M92nwYAPDQzFeMHREhZlleRTbBbtWoV7rrrLsyfPx9paWl444034O/vjzVr1nR4/pgxY/D888/jhhtugEbjGS0iEwdGtrl8w5vbJaqEeuqHgyWoqDcgLtQPr940Ehq1SuqSiIhcyrbsCQBMT43G3VMGSFiN95FFsDMYDNi9ezcyMzPtx5RKJTIzM7F9u3eFm9atdjuOVUpYCXXXmepGvLj+EADg2lHx8PNlqCMi7zNlUBT6BGuRHBWAF65Ph1LJ7TJdSRarppaXl8NsNiMmJqbN8ZiYGOTn5zvscfR6PfR6vf1ybW2tw+7bUX7baldc04Q+IRyXIHd6kxkL3v0VZ2uakBwVgAWT+0tdEhGRJAI1avz4f9MgINhrIQFZtNi5yvLlyxESEmL/SkhIkLqkDp1YMdv+/fQXNktXCHXZi+sPI+9sLSICfPHegnEI1nK7HCLyXr5qJUOdRGQR7CIjI6FSqVBS0nYbkpKSEodOjFi8eDFqamrsX4WFhQ67b2epN5i5E4XMHSrR4c0fjwIAnpk7HHGhfue5BRERkXPIItj5+vpi1KhRyMrKsh+zWCzIysrChAkTHPY4Go0GwcHBbb7kakBUgP37/ou/g8XCcCdH1sU3s2ERwIy0GMwc6hkztImIyD3JItgBwKJFi7B69Wq8++67yMvLw7333ov6+nrMnz8fAHDbbbdh8eLF9vMNBgP27t2LvXv3wmAwoKioCHv37sWRI0ekegoO9cOfp7S5fPXr2ySqhDojhMBz6wpwpLQO0UEaPM2lTYiISGKymDwBAPPmzUNZWRmeeOIJFBcXIyMjA+vWrbNPqDh16hSUypYceubMGVxwwQX2yytXrsTKlSsxdepUbN682dXlO5xapcTvJibhnZ9PAAD2na6RtiBq58UNh+2vz2OXp3HxTSIikpxCePEArtraWoSEhKCmpka23bJJD6+1f7/pwYvQPzLgHGe7mfp6IDDQ+n1dHRDgPs9t25Fy3PzWTgDAkivSMH8SZ8ESEZFzdCevyKYrljqWv+xS+/fTVm6WrhCy05vMePjL/QCAG8YkMNQREZFsMNjJnNan7XTx0tomiSohm2fW5qGwshHRQRo8OnuI1OUQERHZMdi5gQcvGWT/fuwzWThZUS9hNd7thwPFeHf7SQDAs9eMQBDXqyMiIhlhsHMDCy9OaXN56vOboTeZJarGe+majHhqbR4A4K7J/TEtNVriioiIiNpisHMTM9Labrc2+LF1ElXinYQQeOw/uThV2YC4UD/8aXrK+W9ERETkYgx2bmL1baPxwYJxbY6t2Xpcomq8z+e7T+PrvWegUirw8g0Z3DKMiIhkicHOjVyYEol35o+xX1767UFU1OklrMg7HC2rwxNfHwAA/CUzBaOTwiWuiIiIqGMMdm7mosFtx3WNemoDx9s5UZPRjIUf7UGj0YyJyRG496KBUpdERETUKQY7N/Tp78e3uczxds6z4n/5yDtbi4gAX7w4LwMqpULqkoiIiDrFYOeGxg2IwJiksDbHXlx/SKJqPFdWXol9y7CV16cjJphbhhERkbwx2Lmpz+6Z2GYyxctZh/HvXwolrMizlNY24aHPrbtL3DGpP6YN5tImREQkfwx2buzClEgEadX2y//3xX6YLV679a/DVNUbcOd7v6Ky3oAhfYPx11mDpS6JiIioSxjs3FzOkzPbXE5+5DtOpugFk9mCP36Ujf2naxDq74NXbrwAGrXq/DckIiKSAQY7D7DxgaltLg9+bB1e3XhYomrc25WvbsPPRyvgo1Lgk9+Px8DoQKlLIiIi6jIGOw/QPzKg3bGVPxzCCz8USFCN+9pyqAwHz9YCAFZdn4HUPsESV0RERNQ9DHYeQKFQ4PjyyxAR4Nvm+CsbjyDp4bUSVeVemoxmPPmNdRHiCQMicEV6rMQVERERdR+DnYdQKBT49bFMvHbTyHbXfbTzFEprmySoyj0IIfDAZ/twvLweUUEavHnbKKlLIiIi6hEGOw+iUCgwe0Rf/HfhhW2OP/JVDsY+k4VtR8olqkzevtpThLX7z8JHZd0HNoj7wBIRkZtisPNAw+ND8N19k9sdv/mtnRJUI29naxqxpLkL9s+ZgzAxOVLiioiIiHqOwc5DpcUG41/zx7Q7vq+w2vXFyJQQAv/3+X7omkzISAjF3VMGSF0SERFRrzDYebBpg6NxcWrbHRPmvLYNRrMFAGCxCDQavHPNu1MVDei/+Dv8dLgcGrUSL1yfDrWKvw5EROTe1Oc/hdzZG7eMwomKelzy4o/2Y0v/exDfHyhGqU4PAFgxdzhuGNtPqhJdzmCy4PJXfrJf/uulqUiO4np1RETk/thE4eF81UoMignCbRMS7cfe33HSHuoA4OEvc6BrMkpRniRe3XgYtU0mAEB6Qih+NzFJ2oKIiIgchMHOSyydMwzD4jpfcHf4kz+4sBrp/HCgGK9tPgoAeO2mkfj6j5OgVCokroqIiMgxGOy8yL9+Nxaqc4SY+z7eA5PZgv2nq7HnVFW7680WAYtFOLNEp/oy+zTu+WA3zBaB60bFY/aIvlKXRERE5FAcY+dFooI0OPrMZW2OFVU3YtKKjQCAb/adQamuCTuOVQIAvrh3IkYlhgEACisbMPm5TW1ue+BvMxGgcY//QpX1Biz55gAsAph7QRyWzx0udUlEREQO5x5/lclp4kL92ly2hToAuOYfP5/ztkOXfI8TK2Y7pS5He3H9IeiaTBgaG4znr0s/Z8slERGRu2JXLOHI07N6fNt73t8NvUneS6bsK6zG+ztOAgAevzyNoY6IiDwWgx1BrVIi928ze3TbdQeKMfixdXh142Fc9vJPKK/Tn/9GLvSfPUWY89o2AMCsYX0wfkCExBURERE5j0II4b6j4XuptrYWISEhqKmpQXBw5zNGvdGPh8pw25pdAIAP7xyHoupGjOwXBpVSAaPZgjmvbkOjsX1L3bWj4rHyuvSuPUh9PRDYvH5cXR0QEOCo8gFYx9Vd9Pwm+9ImW/86DfFh/g59DCIiImfrTl7hGDvq0JRBUeccP5f7t5lIfuS7dsezT7afTSsFIQSe+S4PtU0mqJUK7H/yEvj78r87ERF5NnbFUo+olApMTolsd/xYeT2SHl6LVesPSVCVlRACc17bhs93nwYAvLdgLEMdERF5BQY76rH37hiL/y68sMPr/p51GGYJ1rxrNJgx4JHvsP90DQDgsdlDMDG5fQAlIiLyRAx21GMKhQLD40Pwye/HY9X17cfVHS2rc3lNz39fANuo0YnJEVhwYX+X10BERCQVBjvqtfEDIjB3ZDxevemCNscvefFHuHJuToPBhK/2WLtfB8cE4cM7x0Gh4NImRETkPRjsyGEuHxHb7lh1g9HpjyuEQH5xLdKe+B5VDUaolQp8e9+FDHVEROR1GOzIod69Y2yby6erGlHdYMBd7/2KlzYcwumqBoc/5sofCnDpSz/ZL//10lT4qPhfm4iIvA/XseM6dk4x9/VtyD5VjUkDI7DtSEWb6+zLqDhgHbsT5fW4aOVm++XpqdF4+3djelo2ERGR7HQnr7BZg5yiT4gWANqFOgCoOMfuFKW6Jqz6oQCHSnTnfYyc0zVtQt3iWakMdURE5NUY7MgpkiI6b317+ru8Tq974ftD+PvGI1j4UfY577/BYMLVr2+zX/5m4STcPTW5+4USERF5EAY7coq7Jg/o9Lovs4s6bJFb8b98fPprIQDgUEkdkh5ei6SH1+K/+860OU8Igfe3n4SpeZ28f/1uDEbEhzqueCIiIjfFMXYcY+c05XV6/D3rMO6Y1B8V9Xpc84/tba73MzQh78VrAQAv/ycbL24/09HdAECb7c2W/vcg1mw7DgBYdtUw3Do+0QnVExERyQPH2JEsRAZqsHTOMCRFBmBUYjh2PTK903Pf2HLsnPdVXqdHmU6P69/Ybg91AHD96HiH1UtEROTuGOzIZaKDtXjrttHnPe/QU7PaHRv91AaMeXoDdp2otB/b8tBF0KhVDq2RiIjInTHYkUtlpsXg7qkdj7+7dXwiNiyaCl+1EidWzMbqTkLgohmDcPSZy5B4jgkaRERE3ojBjlxu8awhOLFiNr5eOKnN8WVXDcPA6ED75RlpMfjTxQPbnDM6MQz3TU+BSsldJYiIiH5LLXUB5L1SWoW4j+4a1+E5f7hoIEpqm1BRZ8CMtBjMG5PgqvKIiIjcDoMdSab1Xq4X9Avr8Bw/XxWeuzbdVSURERG5NXbFEhEREXkIBjsiIiIiD8FgR0REROQhGOyIiIiIPASDHREREZGHYLAjIiIi8hAMdkREREQegsGOiIiIyEMw2BERERF5CAY7IiIiIg/BYEdERETkIRjsiIiIiDwEgx0RERGRh2CwIyIiIvIQaqkLkJIQAgBQW1srcSVeqr6+5fvaWsBslq4WIiIimbLlFFtuORevDnY6nQ4AkJCQIHElhNhYqSsgIiKSNZ1Oh5CQkHOeoxBdiX8eymKx4MyZMwgKCoJCoXDKY9TW1iIhIQGFhYUIDg52ymOQa/E19Ux8XT0PX1PP5I2vqxACOp0OsbGxUCrPPYrOq1vslEol4uPjXfJYwcHBXvMf0FvwNfVMfF09D19Tz+Rtr+v5WupsOHmCiIiIyEMw2BERERF5CAY7J9NoNFiyZAk0Go3UpZCD8DX1THxdPQ9fU8/E1/XcvHryBBEREZEnYYsdERERkYdgsCMiIiLyEAx2RERERB6CwY6IiIjIQzDYOcBrr72GpKQkaLVajBs3Drt27Trn+Z999hlSU1Oh1WoxfPhwfPfddy6qlLqqO6/pgQMHcM011yApKQkKhQIvvfSS6wqlbunO67p69WpMnjwZYWFhCAsLQ2Zm5nl/t8n1uvOafvnllxg9ejRCQ0MREBCAjIwMvP/++y6slrqqu39XbT755BMoFApcddVVzi1QxhjseunTTz/FokWLsGTJEmRnZyM9PR0zZ85EaWlph+f//PPPuPHGG7FgwQLs2bMHV111Fa666irk5ua6uHLqTHdf04aGBgwYMAArVqxAnz59XFwtdVV3X9fNmzfjxhtvxKZNm7B9+3YkJCTgkksuQVFRkYsrp8509zUNDw/Ho48+iu3bt2P//v2YP38+5s+fj++//97FldO5dPd1tTlx4gQefPBBTJ482UWVypSgXhk7dqz44x//aL9sNptFbGysWL58eYfnX3/99WL27Nltjo0bN07cfffdTq2Tuq67r2lriYmJ4sUXX3RiddRTvXldhRDCZDKJoKAg8e677zqrROqm3r6mQghxwQUXiMcee8wZ5VEP9eR1NZlMYuLEieKtt94St99+u5gzZ44LKpUnttj1gsFgwO7du5GZmWk/plQqkZmZie3bt3d4m+3bt7c5HwBmzpzZ6fnkWj15TUn+HPG6NjQ0wGg0Ijw83FllUjf09jUVQiArKwsFBQWYMmWKM0ulbujp67p06VJER0djwYIFrihT1tRSF+DOysvLYTabERMT0+Z4TEwM8vPzO7xNcXFxh+cXFxc7rU7qup68piR/jnhd//rXvyI2NrbdBzOSRk9f05qaGsTFxUGv10OlUuH111/HjBkznF0udVFPXtetW7fi7bffxt69e11Qofwx2BERnceKFSvwySefYPPmzdBqtVKXQ70QFBSEvXv3oq6uDllZWVi0aBEGDBiAiy66SOrSqAd0Oh1uvfVWrF69GpGRkVKXIwsMdr0QGRkJlUqFkpKSNsdLSko6HUTfp0+fbp1PrtWT15Tkrzev68qVK7FixQps2LABI0aMcGaZ1A09fU2VSiUGDhwIAMjIyEBeXh6WL1/OYCcT3X1djx49ihMnTuCKK66wH7NYLAAAtVqNgoICJCcnO7domeEYu17w9fXFqFGjkJWVZT9msViQlZWFCRMmdHibCRMmtDkfANavX9/p+eRaPXlNSf56+ro+99xzWLZsGdatW4fRo0e7olTqIkf9rlosFuj1emeUSD3Q3dc1NTUVOTk52Lt3r/3ryiuvxLRp07B3714kJCS4snx5kHr2hrv75JNPhEajEe+88444ePCg+P3vfy9CQ0NFcXGxEEKIW2+9VTz88MP287dt2ybUarVYuXKlyMvLE0uWLBE+Pj4iJydHqqdAv9Hd11Sv14s9e/aIPXv2iL59+4oHH3xQ7NmzRxw+fFiqp0Ad6O7rumLFCuHr6ys+//xzcfbsWfuXTqeT6inQb3T3NX3mmWfEDz/8II4ePSoOHjwoVq5cKdRqtVi9erVUT4E60N3X9be8fVYsg50DvPLKK6Jfv37C19dXjB07VuzYscN+3dSpU8Xtt9/e5vx///vfYtCgQcLX11cMHTpUrF271sUV0/l05zU9fvy4ANDua+rUqa4vnM6pO69rYmJih6/rkiVLXF84dao7r+mjjz4qBg4cKLRarQgLCxMTJkwQn3zyiQRV0/l09+9qa94e7BRCCCFVayEREREROQ7H2BERERF5CAY7IiIiIg/BYEdERETkIRjsiIiIiDwEgx0RERGRh2CwIyIiIvIQDHZEREREHoLBjoiIiMhDMNgREREReQgGOyKi8/j444/h5+eHs2fP2o/Nnz8fI0aMQE1NjYSVERG1xS3FiIjOQwiBjIwMTJkyBa+88gqWLFmCNWvWYMeOHYiLi5O6PCIiO7XUBRARyZ1CocDTTz+Na6+9Fn369MErr7yCn376qduhbuPGjdizZw8eeOABJ1VKRN6OLXZERF00cuRIHDhwAD/88AOmTp0qdTlERO1wjB0RUResW7cO+fn5MJvNiImJaXPdlVdeifvvvx/jx4/H4MGDsWvXLsyZMweJiYl4/fXX25yXk5ODyy67DE888QQmTZqEAQMGIDc319VPh4g8FIMdEdF5ZGdn4/rrr8fbb7+N6dOn4/HHH29zfU5ODkaMGIEdO3Zg+vTpeOihh/DBBx9g06ZN+Ne//mU/Lz8/H6mpqcjNzUW/fv2wbds23Hffffj6669d/ZSIyENxjB0R0TmcOHECs2fPxiOPPIIbb7wRAwYMwIQJE5CdnY2RI0dCp9NBCIEFCxbYb3PfffchKCgIpaWlCA4OBgDodDpotVo0NjZCoVDgzjvvBAAYjUaEhoZK8dSIyAOxxY6IqBOVlZW49NJLMWfOHDz88MMAgHHjxmHWrFl45JFHAAAHDhzAmDFj7LfJycnBuHHjAAC5ubkYPny4/byhQ4ciNze33flDhw511VMiIg/HFjsiok6Eh4cjPz+/3fG1a9fav7d1w9qcPn0a8fHx9utswc72fW5uLtLT09vc3nYOEVFvscWOiKgXWge7wsJCJCQktLmudbAbNmwYcnNz7eebTCZUV1cjIiLC9YUTkUficidEREREHoItdkREREQegsGOiIiIyEMw2BERERF5CAY7IiIiIg/BYEdERETkIRjsiIiIiDwEgx0RERGRh2CwIyIiIvIQDHZEREREHoLBjoiIiMhDMNgREREReQgGOyIiIiIP8f/qEQoGp9/gawAAAABJRU5ErkJggg==\n" 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:keras layer: block4_pool type unknown not found \n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" 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\n" 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\n" 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u3aU6aIWFhSgpKUH37t1x4MAB6T4cPHjQ7LiysjLk5OSgb9++0raNGzdi9uzZlywC3RaZmZm46aab8Mknn+C///0vPvvsM2RmZlr9eoioY2BiR+TkGiZ2APDcc88hLCwMd999NwDgwoULuPXWW+Hv749evXrh4MGDSE1NRefOneUKucUuTmiaet2vXz8olUocPHiw2UQoPT0dvXr1gpubm7Tt1VdfxWeffWbReMvKynDddddhyZIlGDt2LMLDw3HrrbfiX//6l9Wvh4g6BoUQQsgdBBERERG1H1vsiIiIiJyEXSV2b7zxBiIjI6HRaBAfH4+dO3e26Lh169ZBoVBg2rRpZtuFEFi8eDFCQ0Ph7u6OhIQEHD9+3AqRExEREcnPbhK79evXY8GCBViyZAnS0tIwcOBAJCYmoqCg4JLHnT59Go899hhGjx7d6L1XXnkFr732GtasWYMdO3bA09MTiYmJqK6uttZlEBEREcnGbsbYxcfHY9iwYXj99dcBAAaDAREREfjHP/6Bp556qslj9Ho9xowZg7lz52Lz5s0oLi7Gd999B8DYWhcWFoZHH30Ujz32GACgpKQEwcHB+OCDDzB79uzLxmQwGJCbmwtvb28oFArLXCgRERFRKwghUFZWhrCwMCiVl26Tc7FRTJdUW1uLPXv2YOHChdI2pVKJhIQEpKamNnvcCy+8gKCgINx1113YvHmz2XsZGRnIy8tDQkKCtM3X1xfx8fFITU1tUWKXm5uLiIiINlwRERERkWVlZWWhS5cul9zHLhK7wsJC6PV6BAcHm20PDg7G0aNHmzxmy5YteO+997Bv374m38/Ly5POcfE5Te9drKamBjU1NdJrU2NmVlYWfHx8WnQt1MFVVABhYcbnubmAp6e88RARkcMrLS1FREQEvL29L7uvXSR2rVVWVob/+7//w9q1axEYGGix8y5btgzPP/98o+0+Pj5M7KhlVKr65z4+TOyIiMhiWjIszC4Su8DAQKhUKuTn55ttz8/PR0hISKP9T548idOnT+P666+XthkMBgCAi4sLjh07Jh2Xn5+P0NBQs3PGxcU1GcfChQuxYMEC6bUpQyYiIiJyBHYxK9bNzQ1DhgxBcnKytM1gMCA5ORkjRoxotH9MTAwOHjyIffv2SY8pU6Zg3Lhx2LdvHyIiIhAVFYWQkBCzc5aWlmLHjh1NnhMA1Gq11DrHVjoiIiJyNHbRYgcACxYswB133IGhQ4di+PDhWLVqFSoqKjBnzhwAwO23347w8HAsW7YMGo0G/fv3Nzvez88PAMy2P/LII1i6dCl69uyJqKgoPPvsswgLC2tU746IiIjIGdhNYjdr1iycO3cOixcvRl5eHuLi4pCUlCRNfsjMzLzsFN+LPfHEE6ioqMA999yD4uJijBo1CklJSdKC2pai1+uh1Wotes6OxtXVFaqG49OIiIio1eymjp09Ki0tha+vL0pKSprslhVCIC8vD8XFxbYPzgn5+fkhJCTEsWsGVlQAXl7G5+XlnDxBRETtdrl8pCG7abFzRKakLigoCB4eHo6dkMhICIHKykpplZGGk12IiIio5ZjYtZFer5eSuk6dOskdjsNzd3cHABQUFCAoKIjdskRERG1gF7NiHZFpTJ2Hh4fMkTgP073keEUiIqK2YWLXTux+tRzeSyIiovZhYkdERETkJJjYERERETkJJnYd2NixY6FQKKBQKODi4oLQ0FDceOON2L59u9yhERERURswseughBDYu3cvli9fjrNnz+LEiRP47LPPoFQqMXr0aPzxxx9yh0hEREStxMSugzp+/DjKysowZswYhISEIDIyEuPGjcOXX36JESNG4Omnn5Y7RCIisoLSai0OZBfLHQZZCRO7DmrPnj1QqVQYOHCg2XaFQoFrrrkG+/btkycwIiKyqqU/HcaU17ciKf2s3KGQFTCxsyAhBCprdbI8WrsyXFpaGnr37t1kHT43Nze4uroCAFauXIlFixYBAMrKynDNNdfghRdeAABkZWXhhhtuwNChQ9GjRw/MnTu3nXeQiIis7XRRJQDg4+1nZI6ErIErT1hQlVaPvot/k+WzD7+QCA+3lv8409LSMGTIkCbfO3bsGGJiYgAA6enpSEhIQH5+Pq6//nrcfffduOeeewAAs2fPxuLFi5GYmAghBI4cOdL+CyEiIqvS6g0AgK0nipB1vhIRASy070zYYtdBpaWlYfDgwY22V1RU4IcffsD06dMBGBM7d3d3jB8/HosWLZKSuurqauzatQsjR44EYOzC7du3r+0ugIiI2qRWZ5Cef7UnW8ZIyBrYYmdB7q4qHH4hUbbPbqlTp06huLi4UWKn1+tx3333wd3dHQ8++CCEEDh8+DDmz5+PdevWYfTo0dK+Go0GV155JWJiYnDjjTdi7ty5iIuLs9TlEBGRlVyc2D08vieUSq784yyY2FmQQqFoVXeoXPbs2QMACA0NRV5eHkpLS7Fnzx7897//RVZWFn766Sf4+vri1KlTCAsLg7+/P86fP9/oPH/++Sc2bdqEr7/+GldeeSW2bt2KQYMG2fpyiIioFWr19YldTnEVtp4sxOienWWMiCzJ/rMQsri0tDQAQK9evaBSqeDn54fevXtjypQpuO+++xAQEADA2A0bFxeHZcuWYfz48Rg0aBC6du0qnUepVGLcuHEYN24cTp48icOHDzOxIyKyc6YWu0Fd/bA3sxhf7M5mYudEOMauA1q2bBmEEBBCQKfTobCwEFu3bsWiRYukpA4wJnb9+/dH9+7dsXTpUsyePRs6nQ4A8Ntvv0Gr1QIAMjIycPToUWm8HRER2S9TYndbfDcAwG+H8lBcWStnSGRBTOyoWabEDgBuu+029OzZUypc/OWXXyImJgZxcXG47bbbsHbtWkRGRsoYLRERtUTDFrs+oT6o1Rnww/5cmaMiS2FXLDXrs88+M3v94YcfSs/fffddW4dDREQWYBpj5+aixMyhXfD8j4fxxe4s3D4iUt7AyCLYYkdERNRBCCHMErtpceFwUymRnlOKQ7klMkdHlsDEjoiIqIPQGQRMCxWpVSr4e7rhmr7BAIAvdzt3TbuSKq1ZqRdnxcSOiIiog2iY2Li5GFOAmcMiAADf7s1BtVYvS1zWdrakCvH/2oARy5Lx79+PoaC0Wu6QrIaJHRERUQfRVGI3qkcgQn01KKnSYsORfLlCs6rThZWo1hpQVFGL1X+ewMiX/8Q/1+/DgexiuUOzOCZ2REREHYRpfJ1KqYCqbrUJlVKBGUO6AAC+cNLuWJ3BeN2BXmoMi/SHVi/w7d4cTHl9K2a8tQ2/HDwLnd45ummZ2BEREXUQphY7V5X5EmKmxG7z8XPILa6yeVzWpq1L2kJ9Nfjyvivxw/yRuGFQOFxVCuw+cwEPfJqGsa+m4O1NJ1FSqZU52vZhYkdERNRBSDNiVeb//Hfr5IkrogMgBPD1HudrtdPqjTNGTAltbBc//GdWHLY+eTUeuroHAjzdkFNchWW/HsUVy5LxzHcHcaKgXM6Q24yJHRERUQdharFzc1E1em/mUOMkii/3ZMNgEDaNy9p0dYmdy0UJbZCPBgsm9Ma2p67GKzNiERPijSqtHp9sz0TCyk244/2d2PT3OQjhOPeDiR0REVEHYUrs1C6N//mf1D8U3moXZJ6vxPaMIluHZlWmMXYXd0GbaFxVmDk0Ar8+PBqfzYvHNX2DoVAAm/4+hzve34lr/vMXPtl+BpW1OluG3SZM7IiIiDqIhsWJL+bupsL1cWEAnK+mnakr1kV56bRHoVDgyu6BWHv7UKQ8dhXmjIyEl9oFJwrK8cx36Rix7E8s//WoXY9DZGJHRETUQUhdsaqm//k3dcf+cvAsSqsdexJBQ6bJE8212DWlWydPLLm+H1IXXo3F1/VF1wAPlFRpsWbTSYx+ZSMe/CwNe85csLtuWiZ2HdhTTz0FtVqNW265Re5QiIjIBqRZsS5NJzgDu/iiV7AXanQG/Lg/15ahWZVOSuxan/Z4a1wxd1QUNj52FdbePhQjojtBbxD4+cBZTH9rG6a9sRXf78uxm1UtmNh1YAsXLsS///1vfP755zhx4oTc4RARkZXVXKbFTqFQSK12zlTTTtvM5InWUCkVuKZvMD6/5wr8+vBozBzaBW4uSuzPLsHD6/Zh64lCS4XbLkzsOjBfX1/cddddUCqVOHjwoNzhEBGRlWkvMcbOZNqgcLgoFdifVYxjeWW2Cs2qpMkTypZ3xV5Kn1AfvDJjIFKfuhqPXtMLw6MCMLZXZ4ucu72Y2HVwOp0OHh4eSE9PlzsUIiKyskuVOzEJ9FJjfJ8gAMAXu7NsEpe11bfYWSaxM+nkpcY/xvfEF/eOgNJCSWN7ucgdgFMRAqislOezPTwARet/qZ555hmUl5czsSMi6gCaK1B8sVnDIvDboXx8uzcHT06MuWQLnyNoro6dM2JiZ0mVlYCXlzyfXV4OeHq26pA9e/ZgzZo1mDx5ssUTuz///BN79+7Fo48+atHzEhFR212qjl1DY3p2RpC3GgVlNfjzaD4m9g+1RXhWI82KtZNWNWty/tSVmmQwGHDvvfdi/vz5uP3223H8+HFotZab2n711VczqSMisjPNrRV7MReVEtPr1o91hkkUWkPbZ8U6Gue/Qlvy8DC2nMnx8PBoVairV69GYWEhXnjhBQwYMABarRZHjx6V3h85ciR27NgBALjrrrvwn//8BwAwZcoUPPzww7jiiivQu3dv7Ny5E1OnTkW3bt3w5ptvSsdPmTIFBw8exLXXXovFixdj5MiRiI6OZpcvEZGMLlWg+GI31SV2KccKkF9abdW4rK0jdcU6/xXakkJh7A6V49GK8XU5OTl49tln8cYbb8DT0xM9e/aEWq02S7qeffZZLF++HCtXroRSqcQ///lPAMDBgwcRGxuL7du3Y/z48Xj88cfxySefYOPGjfjf//4nHX/06FHExMQgPT0dXbt2xdatW/HQQw/h+++/t9z9JiKiVqmfPHH5f/6jO3thWKQ/DAL4Os2xW+10bShQ7KiY2HVADz30ECZNmoTJkycDAFxcXNCnTx+zxG7ixInIzMzEzz//LLXElZWVQQiBu+66y+xc3t7eEELAx8dH2k+j0aCqqgoKhQJ33303AECr1cLPz89GV0lERBernzzR/KzYhm6qq2n35e5su1thoTW0hpYtKeYMnP8KycxPP/2EP//8E//973/Ntg8YMMAssdu1axfOnz8PX19fuLq6AgAOHTqEYcOGSfscPHgQ8fHxAID09HQMGDBA2q9fv35IT09vtH+/fv2sdm1ERHRprWmxA4DJA0Lh6aZCRmEFdp2+YM3QrEpbd92WLndij5jYdTDXXXcdLly4gJCQELPtH330kdRNmpOTg7vvvht//vknTp8+LSV8pm5Yk+zsbHTp0kV6z5TYmZ6np6dj4MCB0v4N9yEiIttrbWLnqXbBdbFhABy7pp2ursXucmVenIHzXyG1SlVVFW666SasXr0aUVFRWLhwIV588UUA5oldVlYWIiIipOMuTuz69++P9PR0aX+dTofi4mJ06tTJxldEREQmLS130tDMYcY/4H8+cBblNTqrxGVtpnInbLGzsTfeeAORkZHQaDSIj4/Hzp07m933m2++wdChQ+Hn5wdPT0/ExcXh448/NtvnzjvvhEKhMHtMnDjR2pfh0Nzd3bFt2zaMGTMGAHDTTTdh/fr1AIDXXnsNU6dOBQBERETgr7/+ko5bv349hg8fLu03ZcoUs/1dXFyQkZFhy0shImqXrScKkVfi2LNBL1bbhkkEg7v6I7qzJ6q0evx8INdaoVkVZ8XKYP369ViwYAGWLFmCtLQ0DBw4EImJiSgoKGhy/4CAADz99NNITU3FgQMHMGfOHMyZMwe//fab2X4TJ07E2bNnpcfnn39ui8shIiIHlpSeh1vf3YE73t8Jg8FxJw1cTOqKbUWCo1AoMLNuEoWj1rSz9Fqx9sxuEruVK1di3rx5mDNnDvr27Ys1a9bAw8MD77//fpP7X3XVVbjhhhvQp08fdO/eHQ8//DBiY2OxZcsWs/3UajVCQkKkh7+/vy0uh4iIHJQQAq9vPA4AOJZfhj+PNt3A4Ijq69i1bFasyY2DwqFSKrDnzAWcKCi3RmhWVcsWO9uqra3Fnj17kJCQIG1TKpVISEhAamrqZY8XQiA5ORnHjh2TuhBNUlJSEBQUhN69e+P+++9HUVFRs+epqalBaWmp2YOIiDqWzccLkZ5T//3/9l8nZYzGslo7ecIkyEeDcb07AwC+dMBJFKxjZ2OFhYXQ6/UIDg422x4cHIy8vLxmjyspKYGXlxfc3NwwefJkrF69Gtdcc430/sSJE/HRRx8hOTkZL7/8MjZt2oRJkyZBr9c3eb5ly5bB19dXejScHEBERB3DmyknAACTY0PhplJi1+kL2HPmvMxRWUZbEzugvqbd12k50mQER2EaY8clxeyct7c39u3bh127duGll17CggULkJKSIr0/e/ZsTJkyBQMGDMC0adPw008/YdeuXWb7NLRw4UKUlJRIj6ysy/9V4sgFG+0N7yURyS0t8wK2nzoPF6UCi67tgxsGhQMA3t50SubILKO+QHHr//m/OiYIgV5uKCyvQcqxc5YOzapMa8W6cIydbQQGBkKlUiE/P99se35+fqN6aw0plUr06NEDcXFxePTRRzFjxgwsW7as2f2jo6MRGBiIEydONPm+Wq2Gj4+P2aM5pqK9lZWVl7o0agXTvTTdWyIiW3tzo7HbddqgcIT7uWPemGgAwB9H8h1ybNnF6lvsWp/guKqUuHGwsfSJo9W060gtdi5yBwAAbm5uGDJkCJKTkzFt2jQAgMFgQHJyMubPn9/i8xgMBtTU1DT7fnZ2NoqKihAaGtrekKFSqeDn5yfN2vXw8ICiFeu1Uj0hBCorK1FQUAA/Pz+oWrjUDRGRJR3LK8OGI/lQKID7xnYHAPQI8sI1fYPxx+F8vLv5FJZPj73MWexb/azYtn3P3jSkC9756xT+PFqAgrJqBHlrLBme1XSkOnZ2kdgBwIIFC3DHHXdg6NChGD58OFatWoWKigrMmTMHAHD77bcjPDxcapFbtmwZhg4diu7du6Ompga//PILPv74Y7z11lsAgPLycjz//POYPn06QkJCcPLkSTzxxBPo0aMHEhMTLRKzqTWxuZIs1Dp+fn6XbKElIrKmNZuMrXWJfUPQI8hL2n7f2Gj8cTgf36TlYME1vRDk4xjJTFPqZ8W2reWqZ7A3BnX1w97MYny3Nwf3jOluyfCsRkrsOsBasXaT2M2aNQvnzp3D4sWLkZeXh7i4OCQlJUkTKjIzM6Fs8AOpqKjAAw88gOzsbLi7uyMmJgaffPIJZs2aBcDYonbgwAF8+OGHKC4uRlhYGCZMmIAXX3wRarXaIjErFAqEhoYiKCgIWq3WIufsqFxdXdlSR0SyyTpfiR/2G4vvPjDOPFkZ0i0AQ7v5Y/eZC/jfttN4cmKMHCFaRHsmT5jMHBqBvZnF+GJ3NuaNjnaI3ippSbE2dEE7GrtJ7ABg/vz5zXa9XjzhYenSpVi6dGmz53J3d29UrNhaVCoVkxIiIge2dvMp6A0Co3oEIraLX6P37x3bHbs/2o1Ptp/BA1d1h7fGMccCt2fyhMl1saF44cfDOFFQjrTMYgzpZv/1YaWVJzpAi53zXyEREdElnCurwfpdxskAD1zVdNfi+JggdO/sibJqHT7fmWnL8CzKEi123hpXXDvAOFbdUWradaQxdkzsiIioQ/vf1gzU6AwYGOGHEd07NbmPUqnAvXXjyd7bkiElSI6mLUuKNWXmUOPs2B/356KyVtfuuKzN1BXbEWbFOv8VEhERNaO0WouPU88AMLbWXWq82NRBYQj2USO/tAbf78uxVYgW1d7JEybDowIQ2ckDFbV6/HKw+YUE7IVWxzp2RERETu+T7WdQVqNDzyAvXNMn+JL7ql1UmDsyCgDwzl+nYDA4VlF1vUFAL00iaN8//wqFQlqJwhFq2pkKFLPFjoiIyElVa/V4f0sGAGPdOmULWnNuju8Kb7ULjheUY+Mxxyp11XAZsPYmdgBw4+BwKBXAzozzyCisaPf5rKkjFSh2/iskIiJqwpe7s1BYXotwP3dMiQtr0TE+GlfcckVXAI63zFhNg3GB7R1jBwChvu4Y06szAOCrPfbbaieEkMbYcfIEERGRE9LpDXj7L2Nids+Y6Fa15MwdGQVXlQI7T5/HnjMXrBWixTWc8OFqoQRnZl137Fd7sqHT2+eEEl2DLnNXljshIiJyPj8eyEX2hSp08nSTkpOWCvbR4IZB4QCAd/46aY3wrKLhxAlLFRVO6BOMAE835JfWYPPxQouc09IadkGzxY6IiMjJGAwCb6UYE7K5o6Lg7tb6AvP3jIkGAPx+OB8nz5VbND5rsVSpk4bcXJSYFmdMcu11EoVW36DFjmPsyNq+3ZuNVRv+xpGzpXKHQkTUIfx5tAB/55fDS+2C267o1qZz9AjyRkKfYAgBrP3LMcbaWaI4cVNmDjPWtNtwJB9F5TUWPbclNOwitlQXtD1jYiezb9JysGrDcRzLK5M7FCIipyeEwJspJwAAt13RDb7ubV8a7L6xxla7b9JyUFBabZH4rMkaLXYAEBPig9guvtDqBb7bl2vRc1uCaYydSqlwiHVt24uJnZ0QcKx6SEREjmhHxnmkZRbDzUWJuaMi23WuoZEBGNLNH7V6A/637bRF4rMmSxUnboqppt2Xu7MghH39eyYtJ9YBihMDTOzshp39f0BE5JRMY+tmDu2CIG9Nu89331jjMmOfbD+Dsmptu89nTdbqigWAKQPDoHZR4mheGQ5kl1j8/O2h7UA17AAmdkRE1EGUVGrx1/FzAIB5o6Mtcs7xMUHo3tkTZdU6rNtpn5MHTKQWOyskOL7urpjYPwSA/U2iMI2x6wgzYgEmdrIz9fezxY6IyLp2nT4PIYDoQE906+RpkXMqlQrcO8bYavfelgyzWnH2xhSbqxVa7ABgVl137A/7clFVq7fKZ7QFW+zIpjrG3w9ERPLbkVEEAIiPDrDoeacOCkOQtxp5pdX4Yb/9TR4wMSV2aislOFdEd0IXf3eU1ejw26E8q3xGW+hM68RyjB3ZEhvsiIisa0fGeQBAfFQni55X7aLC3FFRAIwFiw0G+/xGr9UbW9GsMcYOMLZe3jTE2GpnT92xphY7F7bYkS10gJnXRESyK63WIj3HOKjf0i12AHBLfFd4qV3wd345Uv4usPj5LcGakydMpg8Jh0IBbDtZhKzzlVb7nNbQcowdycHepocTETmTPacvwCCAbp08EOrrbvHz+2hccWt8VwDAmk32WbC4tq7lyhqTJ0y6+HtgVI9AAMCXe7Kt9jmtoTONsesA68QCTOxkZ/r7gWkdEZH1bDeNr4uyfGudyZyRUXBVKbAz4zzSMi9Y7XPayhYtdkB9TbuvdmdBbwfd0lrTGDsXttgRERE5hR2nrDO+rqEQX420burbm05a7XPaqqSyFgDgqW792ritMaFvMHzdXZFbUo2tJwqt+lktYWqxc2GLHdmCtLyJ/H/UEBE5pYoaHQ5acXxdQ/fWLTP2++F8nDxXbtXPaq2MIuOYt0gLlXppjsZVhWlxYQDsYxKFqY5dR1gnFmBiJ7uO8WtGRCSfPWcuQG8QCPdzRxd/D6t+Vo8gbyT0CYYQwLub7WusXUahMdGMCrRuYgfUd8f+figfxXUthXLRGthiRzLgWrFERNZhrfp1zbmvrtXu6z05KCirtslnXo4QAqcLjS120Z2tn9j1D/dF31Af1OoN+H6fvLX9tDrOiiUbknpimdcREVmFaXzdFVYcX9fQ0MgADOnmj1q9AR9sPW2Tz7ycc+U1KK/RQakAIgKs22ppMnNoFwDyd8dKBYpZx46IiMixVdXqsT+7GIDtWuwA4N4xxla7j7efQXmNzmaf25yMcxUAjOVI1C7WnTxhMjUuHG4qJQ7llko1BOVQv6QYW+zIJurWipU5CiIiZ5SWeQFavUCIjwZdbdRSBQAJfYIR3dkTZdU6rNuZabPPbU5GoTGxs8X4OhN/Tzdc0y8YAPCljK12OqlAccdIeTrGVRIRUYe045RxfN0V0QH1VQhsQKlUSK12723JkGrIyUWOxA4AZtVNovhuXy6qtXqbfraJzmAqUMwWO7IBjrEjIrKe7ab1YaNtM76uoWmDwtHZW42zJdX4cb+8EwhO1SV2tpg40dDIHoEI89WgpEqLPw7n2/SzTWrZYke21DH+fiAisr1qrR77sooBWHfFieaoXVSYOzIKAPD2XydlXTpSrhY7lVKBGUPknUSh4xg7kgPLnRARWda+rGLU6gzo7K22eUJjcusVXeGldsHf+eXYeKxAlhj0BoEzRcbEztrFiZsyY4ixO3bLiULkFFfZ/PPrCxR3jJSnY1ylHWNXLBGRddQvI2bb8XUN+WhccWt8VwDAmk3yFCzOuVAFrV7AzUWJMD93m39+104eGBHdCUIAX+/Jtvnns0AxERGRE9h+ylSY2Pbj6xqaMzIKrioFdmacR1rmBZt//qm6FSciO3lAJdMEgpnD6rtjDQbbtmRwSTGyKQXLnRARWVyNTi8lUVfIML6uoRBfDabFhQMA3pGh1e60TOPrGprYLxTeahdkX6iSEm5bMdWx48oTREREDupAdglqdAZ08nRDjyAvucPBPXWlT347nIdT58pt+tn1Eyfkuw/ubipMiQsDYPtJFFrTrFh2xZItSMM+OMiOiMhiTPXrhss4vq6hnsHeSOgTBCGAtZszbPrZUqkTGVvsAGBmXU27X9PzUFKltdnnmmbFurl0jJSnY1ylHbOD7xsiIqezo65+3RUyj69r6N6x3QEAX6dlo6Cs2mafK7XY2biG3cViu/iid7A3anQGm9b10xpMLXYd4x9cJnZ2gu11RESWodUbsOeMcXydLdeHvZyh3fwxuKsfanUGfLjttE0+s1qrl0qMyDnGDgAUCgVuGmqcRGHLJcZ00hi7jpHydIyrtGPS5AlmdkREFnEwpwSVtXr4ebiiV5C33OFIFAqF1Gr3ceoZlNforP6ZmecrIQTgrXFBJ083q3/e5dwwKBwuSgX2Z5fgaF6pTT5TZ+CsWCIiIodlmnU5PDIASjvrfrumTzCiO3uitFqHdTszrf55p87Vj6+zh7GGnbzUSOgTDAD4YpdtatrV6ljHjmxJKlDMJjsiIkvYKeP6sJejVCpwb90M2fe2ZKBWZ7Dq55nG10XK3A3bkKmm3bd7s61+/UB9ix3LnRARETkYIQT2ZhYDMI5ps0fTBoWjs7caZ0uqrT6JIKOuOLHc4+saGtOzM4J91LhQqUXykXyrf540K5Zj7MgWpGonskZBROQcMgorUFKlhdpFiT6hPnKH0yS1iwpzR0YBAN7+66RVe2wy7KA48cVcVEpMH1y/EoW1SXXs2GJne2+88QYiIyOh0WgQHx+PnTt3NrvvN998g6FDh8LPzw+enp6Ii4vDxx9/bLaPEAKLFy9GaGgo3N3dkZCQgOPHj1v7MtqEPbFERO2XVtdaNyDc167rlt0S3xVeahf8nV+OlGPnrPY5GVINO/mLNDd0U11Nu01/n0NeiXVLv+i4Vqw81q9fjwULFmDJkiVIS0vDwIEDkZiYiIKCgib3DwgIwNNPP43U1FQcOHAAc+bMwZw5c/Dbb79J+7zyyit47bXXsGbNGuzYsQOenp5ITExEdbXt6gddjj0MZiUichZ765YRG9TVT95ALsPX3RW3xHcFAKzZdNIqn1FarUVheS0AIDLQwyqf0VZRgZ4YHhkAgzDW9bMmLdeKlcfKlSsxb948zJkzB3379sWaNWvg4eGB999/v8n9r7rqKtxwww3o06cPunfvjocffhixsbHYsmULAGNr3apVq/DMM89g6tSpiI2NxUcffYTc3Fx89913NryyS2NXLBGR5ZjG1w3qap/j6xqaMzISrioFdmSclxJSSzKtEdvZWw1vjavFz99eDWvaWbM7Wss6drZXW1uLPXv2ICEhQdqmVCqRkJCA1NTUyx4vhEBycjKOHTuGMWPGAAAyMjKQl5dndk5fX1/Ex8c3e86amhqUlpaaPYiIyDFU1uqk2miDHSCxC/V1x9S4cADAO3+dsvj57XF8XUPXDgiFp5sKp4sqpZnMllZarcXZEmOBZndXlVU+w97YRWJXWFgIvV6P4OBgs+3BwcHIy8tr9riSkhJ4eXnBzc0NkydPxurVq3HNNdcAgHRca865bNky+Pr6So+IiIj2XFaLKFjuhIjIIvZnlcAggFBfDUJ8NXKH0yL31JU+STqUJyViltKwhp098lS74PqBYQCAL3Zbpzt21R/HUVypRVSgJwZG+FrlM+yNXSR2beXt7Y19+/Zh165deOmll7BgwQKkpKS0+XwLFy5ESUmJ9MjKst2SJ0RE1D57sxxjfF1DvYK9MT4mCEIAazdbttXO3lvsgPpJFL8cPIuyaq1Fz33kbCk+TD0NAHhuSj+oXdhiZzOBgYFQqVTIzzevZ5Ofn4+QkJBmj1MqlejRowfi4uLw6KOPYsaMGVi2bBkASMe15pxqtRo+Pj5mD2vrGEM5iYisTxpfF2H/3bAN3XeVcZmxr/Zk41xZjcXO6wiJ3eCufuje2RNVWj1+PnDWYucVQmDx9+nQGwQm9Q/B2F6dLXZue2cXiZ2bmxuGDBmC5ORkaZvBYEBycjJGjBjR4vMYDAbU1Bj/p4iKikJISIjZOUtLS7Fjx45WndNW2BNLRNR2DQsTD+7mJ2ssrTW0mz8Gd/VDrc6AD7ZlWOScQoj6Uied7TexUygUmFnXamfJmnbfpOVg1+kLcHdV4Znr+lrsvI7ALhI7AFiwYAHWrl2LDz/8EEeOHMH999+PiooKzJkzBwBw++23Y+HChdL+y5Ytwx9//IFTp07hyJEj+Pe//42PP/4Yt912GwDjL8sjjzyCpUuX4ocffsDBgwdx++23IywsDNOmTZPjEpvEcidERO2XfaEKheU1cFUp0C/MscZSKRQK3DvW2Gr3ceoZlNfo2n3Oc+U1KK/RQakAIgLsq9TJxW4YHA6VUoG0zGKcKChr9/lKqrRY9usRAMA/xvdAuJ97u8/pSFzkDsBk1qxZOHfuHBYvXoy8vDzExcUhKSlJmvyQmZkJZYPighUVFXjggQeQnZ0Nd3d3xMTE4JNPPsGsWbOkfZ544glUVFTgnnvuQXFxMUaNGoWkpCRoNPYzqLa+3Amb7IiI2iqtrlxI31AfaBxw9uM1fYIRHeiJU4UVWLczE3ePjm7X+TLqJk6E+7vb/diyIG8NxvUOwoYj+fhidzYWXdunXedb+fsxFJbXIrqzJ+4e1b776IjspsUOAObPn48zZ86gpqYGO3bsQHx8vPReSkoKPvjgA+n10qVLcfz4cVRVVeH8+fPYtm2bWVIHGP8KeuGFF5CXl4fq6mps2LABvXr1stXlEBGRjThS/bqmKJUKaYbse1sypKK6bVU/vs6+Vpxozsy6mnbfpGW369rTc0rw8fYzAIAXpvS369VHrKXjXbG9kcqdyBsGEZEj25tVDMCxZsRebNqgcHT2VuNsSTV+3J/brnPVLyVmv+PrGhoXE4RALzUKy2ux8WjTK05djsFgnDBhEMDk2FCM6hlo4SgdAxM7O8G8joiobaq1ehzOLQHgGIWJm6NxVWHOyEgAwNubTrWrvqkjzIhtyFWlxPTBxmLNba1p91VaNtIyi+HhpsKzkzvWhImGmNjJTMGCJ0RE7XIotxRavUCglxu6+Dv2QPlb47vB002FY/llSPn7XJvP42iJHVC/xNjGYwUoKGvdmu7FlbVY/utRAMAjCT0dpkC1NTCxsxPsiiUiahvTOqtxEf4OX2nA190Vt8R3BQC8velkm86hNwicKaoE4FiJXY8gbwzu6ge9QeDbtJxWHbvi92M4X1GLnkFemDMyykoROgYmdjJz8O8gIiLZOWr9uubMHRUFV5UC20+dx766sYOtkVtchVq9AW4uSoQ5WKkPU0279buzWtwVfTC7BJ/uyAQAvDC1P1xVHTu16dhXbwdY7oSIqH1MLXaOtuJEc0J93TE1zjje7J2/Wt9qd6quGzaykwdUSsdqPZgcGwp3VxVOnauQSthcisEg8Mz36RACmBoXhhHdO9kgSvvGxI6IiBxWXkk1ckuqoVQAsV0cqzDxpZhKn/yanieNl2up01Ji5zjdsCbeGldcOyAUAPDFrstPoli/Owv7s4rhpXbB0+2sf+csmNjJTMFyJ0REbWZqresd4gNPtd3U3G+3XsHeGB8TBCGAtZtPterYsmotACDA080aoVndrGHG7tifDuSi4hKrcFyoqMXLScYJE/+8pheCfDruhImGmNgREZHDMtWvG+zA9euaY1pm7Ks92ThXVtPi46q1xgK/agctzjss0h+RnTxQUavHLwfPNrvfK78dQ3GlFjEh3rhjRDcbRmjfHPOn7kRY7oSIqO2k8XUOXL+uOcMi/TGoqx9qdQZ8uO10i4+r1uoBwCGXVgOMq0bdVDeJ4stmatrtyyrGul31EyZcOviEiYZ4J+xEewpREhF1RNVaPQ5kGwsTO/KKE81RKBS4d4yx1e6j1NOX7JZsqEZX12LnoIkdAEwf3AVKBbDz9HmcOldu9p7eIPDsd8YJEzcODsfwqACZorRPTOxkxnInRERt88bGE6jRGRDmq0GUA04UaIlr+gYjOtATpdU6rNuV1aJjTC12jtoVCwAhvhqM7dUZAPDlHvNWu893ZuJgTgm81S5YOIkTJi7muD91J8HJE0RErXc8vwxr6gr4Lr6+L5QOVtajpVRKBebVzZB9b/MpaPWGyx5TXddi56hdsSammnZf78mGru66i8pr8OpvxwAAj07ohc7eatnis1dM7OwE8zoiopYxGAQWfXsQWr1AQp9gJPYLkTskq7phUDgCvdTILanGTwdyL7t/jTTGzrH/iR/fJxgBnm4oKKvBX8eNy6u9nHQUJVVa9A31wW1XcMJEUxz7p+4UnPOvTCIia1m/Owu7Tl+Ah5sKz0/t5/DLiF2OxlWFuaMiAQBvbzp12THZphY7tYtjt9i5uShxwyBjoeYvdmVjz5kL+KJuMsWL0/pxwkQzeFfsBLtiiYgu71xZDZb9cgQA8OiE3gh3sCWz2urW+G7wdFPhaF4ZNv197pL7VjtJix1Q3x274Ug+nvr6AADgpiFdMKQbJ0w0x/F/6g7Oyf/QJCKyqBd/OozSah36h/t0qNplvu6uuCW+KwBjq92lmGbFahy8xQ4Aeod4Y2AXX+gMAscLyuGjccGTk2LkDsuuMbGzE1wrlojo0lKOFeCH/blQKoBlN8R2uK64uaOi4KJUIPVUEfbXFWZuimmMndoJWuwASDXtAODxiTEI9OKEiUtxjp+6A2ODHRHR5VXV6vHs9+kAgDuvjMIAJ1oXtqVCfd0xNc445uztv042u5+jFyi+2JS4MPQM8sKYXp1xy/Cucodj95xnYT0HxzF2RETN+2/ycWSdr0KYrwaPTugldziyuWdMNL5Oy8av6Xk4XViByMDG9fucqSsWAHw0rvhjwVi5w3AYbLGTmVTHTt4wiIjs1tG8Ury72Tiu7Pmp/eGp7rhtEr1DvHF1TBCEANZubnqsXbWTdcVS6/CnLjOuFUtE1DyDQWDhNwehMwhM7BeCa/oGyx2S7O6tK1j85Z5snCurafR+tda5WuyodZjY2Qv2xRIRNfLpjjPYm1kML7ULnpvST+5w7MLwqADERfihVmfAR6mnzd4TQqBG5zzlTqj1+FOXmZJdsURETcovrcYrScblox5P7I0QX43MEdkHhUKB+8Z2BwB8lHoGFTU66T2tXsBQ9w+KoxcoprZhYiczU8V0A1vsiIjMPP/jIZTV6DAwwo/LR13kmr7BiA70REmVFut3ZUnbTa11AMfYdVT8qctMKSV2MgdCRGRHko/k45eDeVApFVh2wwColByP3JBKqcC8urF2723JgFZvHFdnGl8HAGoX/hPfEfGnLjPTdxVb7IiIjCpqdFj8/SEAwN2jotA3zEfmiOzTDYPCEeilRk5xFX4+cBZAgxmxLkqnX0OXmsbETmbKusyOeR0RkdF//vgbOcVVCPdzx8MJPeUOx25pXFWYMzISALBm08m6iRMG6T3qmJjYycz0B5WBfbFERKio0eGDbacBAEun9YeHW8etWdcSt8V3g6ebCkfzyrDp73MNVp3gP+8dFX/yMuMYOyKieuU1OugMAkoFMC4mSO5w7J6vhyturltm6+1Np6TJE5wR23ExsZMZx9gREdXT1/2Vy8kSLTd3VBRclAqknirCzowLANhi15HxJy8zU4udYGJHRCQldkoO/G+xMD93TIkLAwBp6TWOseu4mNjJTMGuWCIiian3gi12rXPvGGPB4qKKWgAsddKR8ScvM3bFEhHVk7pi2WLXKr1DvHF1gzGJbLHruJjYyYyTJ4iI6pn+yFWyxa7V7q0rWAxw8kRHxsROZtJasWyxIyJC3QIK7Iptg+FRAYiL8APA5cQ6Mv7kZca1YomI6nHyRNspFAo8OTEGfh6uGNuzs9zhkExY+VFm7IolIqpXP3lC5kAc1IjunbD32Wu4nFgHxv91ZMbJE0RE9Th5ov2Y1HVsTOxkJnU3MK8jIoLe1GKnYnJC1BZM7GSmYIsdEZHEwBY7onZhYiczjrEjIqonTZ7grFiiNrGrxO6NN95AZGQkNBoN4uPjsXPnzmb3Xbt2LUaPHg1/f3/4+/sjISGh0f533nknFAqF2WPixInWvoxW4Rg7IqJ6UlcsW+yI2sRuErv169djwYIFWLJkCdLS0jBw4EAkJiaioKCgyf1TUlJw8803Y+PGjUhNTUVERAQmTJiAnJwcs/0mTpyIs2fPSo/PP//cFpfTYqa/SpnXEREBBtaxI2oXu0nsVq5ciXnz5mHOnDno27cv1qxZAw8PD7z//vtN7v/pp5/igQceQFxcHGJiYvDuu+/CYDAgOTnZbD+1Wo2QkBDp4e/vb4vLaTHWsSMiqmdqsWMdO6K2sYvErra2Fnv27EFCQoK0TalUIiEhAampqS06R2VlJbRaLQICAsy2p6SkICgoCL1798b999+PoqIii8beXuyKJSKqJ02eYIsdUZvYRYHiwsJC6PV6BAcHm20PDg7G0aNHW3SOJ598EmFhYWbJ4cSJE3HjjTciKioKJ0+exKJFizBp0iSkpqZCpWq8jl5NTQ1qamqk16WlpW28opbj5AkionqcPEHUPnaR2LXX8uXLsW7dOqSkpECj0UjbZ8+eLT0fMGAAYmNj0b17d6SkpGD8+PGNzrNs2TI8//zzNonZhGvFEhHVq9TqAQBqLj1B1CZ28X9OYGAgVCoV8vPzzbbn5+cjJCTkkseuWLECy5cvx++//47Y2NhL7hsdHY3AwECcOHGiyfcXLlyIkpIS6ZGVldW6C2kDBVvsiIgkWecrAQBdAtxljoTIMdlFYufm5oYhQ4aYTXwwTYQYMWJEs8e98sorePHFF5GUlIShQ4de9nOys7NRVFSE0NDQJt9Xq9Xw8fExe1ibkpMniIgkGYUVAICoTp4yR0LkmOwisQOABQsWYO3atfjwww9x5MgR3H///aioqMCcOXMAALfffjsWLlwo7f/yyy/j2Wefxfvvv4/IyEjk5eUhLy8P5eXlAIDy8nI8/vjj2L59O06fPo3k5GRMnToVPXr0QGJioizX2BRTV6yeTXZERDhdl9h1C2RiR9QWdjPGbtasWTh37hwWL16MvLw8xMXFISkpSZpQkZmZCaWyPg996623UFtbixkzZpidZ8mSJXjuueegUqlw4MABfPjhhyguLkZYWBgmTJiAF198EWq12qbXdikq1rEjIpKcLjJ2xbLFjqht7CaxA4D58+dj/vz5Tb6XkpJi9vr06dOXPJe7uzt+++03C0VmPabETmeqyklE1EGVVWtRWG6sTNAt0EPmaIgck910xXZUpmVz2BVLRB3dmbrWuk6ebvDRuMocDZFjYmIns/oWOyZ2RNSxnS4yjq+L5Pg6ojZjYiczF1XdrFgmdkTUwZkmTkRyfB1RmzGxk5mqbkIIW+yIqKPLKDR2xUZ24vg6orZiYiczFyXH2BERAcAZdsUStRsTO5lxjB0RkZFpjF0UEzuiNmNiJzO22BERmUqd1AIAurErlqjNmNjJTMk6dkREUqmTQC83eLPUCVGbMbGTmdRip2eLHRF1XKY1YrtxRixRuzCxk5lpjJ2ea4oRUQfGUidElsHETmYudeVOOMaOiDqy9NwSAEDvEC+ZIyFybEzsZMZZsUREwMFsY2IX28VP3kCIHFybE7u7774bR48elV7v378fn3/+OTIzMy0SWEfBMXZE1NGdK6tBbkk1FAqgf7iv3OEQObQ2J3Z//fUXYmJiABiTupEjR+Ljjz/GuHHjsHHjRosF6OzYYkdEHd2B7GIAQPfOXvBSu8gbDJGDa3Ni5+tb/1fV+++/jzlz5uCXX37Bhg0bsHjxYosE1xGoWMeOiDq4/VI3LFvriNqrzYldREQENmzYgMrKSnzzzTeYMWMGACAqKgoVFRUWC9DZubCOHRF1cAfrWuwGcnwdUbu1ObF77bXX8Nxzz8Hf3x89e/bE2LFjAQA6nQ5lZWUWC9DZmVrsDAIQLHlCRB2MEAIH6lrsBrDFjqjd2jyYoUuXLtiyZQtqamqgVqul7X/++SeuuuoqS8TWIZjKnQDG7lgXlULGaIiIbCunuApFFbVwUSrQN9RH7nCIHF6bW+yWLl0KAGZJHQBMmDABa9eubV9UHYiqQSLHCRRE1NGYWut6h3hD46qSORoix9euWbHvvfdeo+0GgwELFy5sV1AdiWmMHcAJFETU8Rxg/Toii2pzYvf111/jnXfewY8//ihty87OxujRo5GXl2eR4DoClZItdkTUcZlKnXBGLJFltHmMnbe3N3744QckJCSgU6dOKCwsxMMPP4ylS5fi1ltvtWSMTk2lYIsdEXVMBoNosOIEEzsiS2hzYvfMM8+gf//+ePHFFzFr1ix06dIFf/75J6KioiwZn9NTmrXYseQJEXUcGUUVKKvRQe2iRK9gb7nDIXIKbU7sOnXqhD/++APp6ekoLi6Gh4cHFi5ciP79+6N///6YNm2aBcPsGEqrtAjy1sgdBhGRTRw5WwoA6BPqA1cVly4nsoQ2J3b//Oc/zV5nZGQgPT0d6enp+Oqrr5jYtUHD0idERM4u45yxmH33zl4yR0LkPFqV2CUnJ+Ppp5/Gvn374OrqipiYGMyYMQMPPPAAoqKiEBUVheuvv95asTotPw9XFFdqodWzK5aIOo6MQmNiF93ZU+ZIiJxHi5uIduzYgUmTJkGtVuOZZ57Bs88+i9jYWKxYsQL9+/fHgQMHrBmnU3Or64KoZWJHRB3IqbrELiqQiR2RpbS4xe6VV17B1KlT8eWXX5ptr6ysxL333ovJkyfj4MGD8PPzs3SMTs80tkSr56xYIuo4ThcZE7vITkzsiCylxS12qampmD9/fqPtHh4e+PDDD9GlSxesWbPGosF1FGqXuhY7HVvsiKhjuFBRi+JKLQAgMtBD5miInEeLE7tz5841W8pEqVTi4Ycfxs8//2yxwDqS+hY7JnZE1DFk1LXWhfpq4OHW5nl8RHSRFid2er0eGk3zpTiGDBmCY8eOWSSojsaNLXZE1MGYZsSyG5bIslpVX+Ojjz7Cjh07UF1d3eg9Hx8fFBcXWyquDsVVZSxSzMkTRNRRmMbXRXFGLJFFtbj9e/To0XjxxRdRVlYGFxcX9O7dG0OGDMHgwYMxZMgQBAcHQ6/XWzNWp8UWOyJydkIILPzmIAK91Hgssbc0IzaaM2KJLKrFid2mTZsAAMePH8eePXuQlpaGtLQ0/PDDDyguLoaiwZqn1DpuLioATOyIyHmdKCjHul1ZcFUp8Fhib5wuZFcskTW0esRqz5490bNnT8yePVvalpGRgd27d2Pv3r0WDa6jcKvriuXkCSJyVscLygEAeoOxrFNOcRUAoGsnzoglsiSLTEUyrTpx0003WeJ0HY6pK7aGLXZE5KSO5xsTO4MADAaBkipjqRN/Dzc5wyJyOlyc1A5o6rpia3Qco0hEzunEuXLpeWm1FqKuHruvu6tMERE5JyZ2dkDtakzsqmrZYkdEzul4fpn0/EJdYWIPN5XUY0FElsH/o+yAe11iV80WOyJyQnqDkGbBAsD5iloAbK0jsgYmdnZA42r8MVRrmdgRkfPJOl9pNuv/AhM7IqthYmcHNKYWOyZ2ROSETDNiTc5XMrEjshYmdnZA6orVcowdETmfExcldsV1iZ2fBxM7IktjYmcH2BVLRM7seEGZ2evzFcbJE2yxI7I8u0rs3njjDURGRkKj0SA+Ph47d+5sdt+1a9di9OjR8Pf3h7+/PxISEhrtL4TA4sWLERoaCnd3dyQkJOD48ePWvoxWK66bIfZrep7MkRARWd7FLXal1cbvPG8NEzsiS7ObxG79+vVYsGABlixZgrS0NAwcOBCJiYkoKChocv+UlBTcfPPN2LhxI1JTUxEREYEJEyYgJydH2ueVV17Ba6+9hjVr1mDHjh3w9PREYmIiqqurbXVZLdJwthgRkTMRQjRO7OqKE3upLVIjn4gasJvEbuXKlZg3bx7mzJmDvn37Ys2aNfDw8MD777/f5P6ffvopHnjgAcTFxSEmJgbvvvsuDAYDkpOTARi/TFatWoVnnnkGU6dORWxsLD766CPk5ubiu+++s+GVXd51saEAgG5cWoeInExuSTUqa/VwUdavJ15arQMAeGuY2BFZml0kdrW1tdizZw8SEhKkbUqlEgkJCUhNTW3ROSorK6HVahEQEADAuH5tXl6e2Tl9fX0RHx/f4nPaimnyhJqFOonIyZha66ICPaVtbLEjsh67yCQKCwuh1+sRHBxstj04OBh5eS0bd/bkk08iLCxMSuRMx7XmnDU1NSgtLTV72ILGrW7lCU6eICInY1pxomewF0yNdqYxdl5ssSOyOLtI7Npr+fLlWLduHb799ltoNJo2n2fZsmXw9fWVHhERERaMsnmmtWJZ7oSInI2pxa5HZy8oFcbMrrTK2BXLFjsiy7OLxC4wMBAqlQr5+flm2/Pz8xESEnLJY1esWIHly5fj999/R2xsrLTddFxrzrlw4UKUlJRIj6ysrLZcTqu517XYnSurscnnERHZipTYBXtLid35CuN3nQ/LnRBZnF0kdm5ubhgyZIg08QGANBFixIgRzR73yiuv4MUXX0RSUhKGDh1q9l5UVBRCQkLMzllaWoodO3Y0e061Wg0fHx+zhy1o9fUtdUIIm3wmEZG1CSGkVSd6dPZCXV4HQ93XXBd/d5kiI3JedtMOvmDBAtxxxx0YOnQohg8fjlWrVqGiogJz5swBANx+++0IDw/HsmXLAAAvv/wyFi9ejM8++wyRkZHSuDkvLy94eXlBoVDgkUcewdKlS9GzZ09ERUXh2WefRVhYGKZNmybXZTYp1Le++7hGZ5CWGCMicmTnymtQUqWFUgFEd/aUWuwA42Sxzl5qGaMjck52k9jNmjUL586dw+LFi5GXl4e4uDgkJSVJkx8yMzOhVNY3ML711luora3FjBkzzM6zZMkSPPfccwCAJ554AhUVFbjnnntQXFyMUaNGISkpqV3j8KzBw63+x1BZq2diR0ROwdQN2zXAAxpXFRpUPEG4vzsUDRI9IrIMu0nsAGD+/PmYP39+k++lpKSYvT59+vRlz6dQKPDCCy/ghRdesEB01qNSKqBxVaJaa0BlrQ4Bnm5yh0RE1G7S+LogLwBAsK8Gp84ZC7JH+LNuJ5E12MUYO6pvtausZckTInIO9YmdNwDgrlFR0nudvdkNS2QNTOzshKlIMRM7InIWx/PNW+xmDOkivefvwRmxRNbAxM5OeKpNiZ1O5kiIiCzDNCO2Z11ip3ZR4ZO74nF1TBDuHh0tZ2hETsuuxth1ZOq6IsWVNWyxIyLHV1xZi8JyY7267nWJHQCM6hmIUT0D5QqLyOmxxc5OHMwpAQD8frhlS6gREdkz0/i6MF8NV5ggsiEmdnbGVcUfCRE5vuMNVpwgItthFmFndmSclzsEIqJ2O3HR+Doisg0mdnZieFQAACC+7r9ERI7s+EU17IjINpjY2YnBXf0B1E+iICJyZCfZYkckCyZ2dsJbYxxcXF6jlTkSIqL2Ka/RIae4CgBb7IhsjYmdnahP7FjHjogcm6m1LtBLDT8PLpFIZEtM7OyEqRxAWTUTOyJybJw4QSQfJnZ2gokdETkLTpwgkg8TOzvhrTGum8iuWCJydFKLXTATOyJbY2JnJ0xj7LIvVMocCRFR+5woKAMA9OjMxI7I1pjY2QmFwvjfaq1B3kCIiNqhWqtH5nnjH6g92GJHZHNM7OxEoJdael6j08sYCRFR22UUVsAgAF93V3Ru8L1GRLbBxM5ONEzsss6zO5aIHFPDiRMKU1cEEdkMEzs7oVLWfwFW1LDFjogc04l84/g6ljohkgcTOzt0uqhC7hCIiNrkxDmWOiGSExM7O/Td3hy5QyAiapPj+UzsiOTExM4OcQkeInJEWr1B6nHoGewtczREHRMTOzvSrZMHAMDDTSVzJERErXemqBJavYCHmwphvhq5wyHqkJjY2ZGpA8MA1Ne0IyJyJFJhYs6IJZINEzs7YuqCvVCplTkSIqLWO8E1Yolkx8TOjtTojKtO/HzgrMyREBG13nEmdkSyY2JnR6q0rF9HRI7LNCO2ZxAnThDJhYmdHekX5iN3CEREbaI3CJxkDTsi2TGxsyODIvyk56XVHGdHRI4j50IVanQGuLkoEeHvLnc4RB0WEzs70nC92L/+PidjJERErXPinHFGbHSgJ1xU/KeFSC78v8+OKBusF/ttGlefICLHwRUniOwDEzs7lXy0QO4QiIhazDQjlhMniOTFxI6IiNrNVMOuZzBb7IjkxMSOiIjaRQjB4sREdoKJnZ25fUQ3uUMgImqVsyXVKK/RQaVUILKTp9zhEHVoTOzsTJC3+vI7ERHZkdSTRQCAvqE+cHPhPytEcuL/gXamX7iv3CEQkQPLKa7CrwfPQghhs89MqSvPdFXvzjb7TCJqGhM7O9M7uH5GmcFguy9mInIOT397EPd/moaUY7aphak3CGw+bvyssb2Y2BHJjYmdnWlYpDivtFrGSIjIEV2oNK5as/GYbUomHcguRnGlFt4aF8Q1WD2HiOTBxM7ONByfYvormIioxeq6YLecKLTJx/1+OB8AMKpHIFecILID/L/Qjv1xmEWKiah1TCM4Tp2rQG5xlVU/S6s34Ks92QCA6weGWfWziKhlmNjZsQ1H8uUOgYgcjED92NytVm6123i0AOfKatDJ0w0JfYKt+llE1DJM7OyQp5tK7hCIyEE1nAxr7cRu/a4sAMD0IV1Y5oTITtjV/4lvvPEGIiMjodFoEB8fj507dza776FDhzB9+nRERkZCoVBg1apVjfZ57rnnoFAozB4xMTFWvALLCPVzlzsEInJQDSfTbzlRZLWyJ2dLqqQJGrOGRVjlM4io9ewmsVu/fj0WLFiAJUuWIC0tDQMHDkRiYiIKCpoeZ1ZZWYno6GgsX74cISEhzZ63X79+OHv2rPTYsmWLtS7BYnw0LtJzW9aiIiLH1/A7o7C8Bn/nl1vlc77anQ2DAIZHBqB7Zy4jRmQv7CaxW7lyJebNm4c5c+agb9++WLNmDTw8PPD+++83uf+wYcPw6quvYvbs2VCrm1+twcXFBSEhIdIjMDDQWpdgMXeOjJKeF5TVyBgJETkqd1fjkA5rzI41GATW7zZ2w84eztY6IntiF4ldbW0t9uzZg4SEBGmbUqlEQkICUlNT23Xu48ePIywsDNHR0bj11luRmZnZ7L41NTUoLS01e8jh2v71LZBf1I1hISJqCVODXXx0AADrjLPberIQ2Req4K1xwaT+oRY/PxG1nV0kdoWFhdDr9QgONp9VFRwcjLy8vDafNz4+Hh988AGSkpLw1ltvISMjA6NHj0ZZWVmT+y9btgy+vr7SIyJCnr9EG9aCcuWAZCJqBUNdZjeqh7F3YvupImj1Bot+xrqdxj84bxgUDndO9iKyK06dNUyaNAk33XQTYmNjkZiYiF9++QXFxcX44osvmtx/4cKFKCkpkR5ZWfK1lvUIMo5ZOW6l8TFE5JxMI+z6hvkgwNMNlbV67Msqttj5i8pr8Pth4x/cs4d1tdh5icgy7CKxCwwMhEqlQn6+ed22/Pz8S06MaC0/Pz/06tULJ06caPJ9tVoNHx8fs4dcThQYE7qv07Jli4GIHI9p8oRKocCV3TsBALYct1x37DdpOdDqBWK7+KJvmHzfkUTUNLtI7Nzc3DBkyBAkJydL2wwGA5KTkzFixAiLfU55eTlOnjyJ0FD7HxNy/1Xd5Q6BiByQaYydQqGQumMtNc5OCIHPdxnHKbO1jsg+uVx+F9tYsGAB7rjjDgwdOhTDhw/HqlWrUFFRgTlz5gAAbr/9doSHh2PZsmUAjBMuDh8+LD3PycnBvn374OXlhR49egAAHnvsMVx//fXo1q0bcnNzsWTJEqhUKtx8883yXGQrDGqwmLbBIKBUKuQLhogchqkrVqEARtYldnuzilFWrYW3xrVd5049VYRT5yrg6abC9QPt/w9koo7IbhK7WbNm4dy5c1i8eDHy8vIQFxeHpKQkaUJFZmYmlMr6Bsbc3FwMGjRIer1ixQqsWLECY8eORUpKCgAgOzsbN998M4qKitC5c2eMGjUK27dvR+fOnW16bW0RH91Jev7X8XO4qneQjNEQkaMwdcUqFUBEgAciO3ngdFEldmacx/h2Lvv1yfYzAIBpg8LbnSQSkXXYTWIHAPPnz8f8+fObfM+UrJlERkZetnjvunXrLBWazfm6139pnigoZ2JHRC1Sv/KEsZV/ZI9AnC7KxJYThe1K7ApKq/H7IeM46Nuu6NbOKInIWuxijB01zVRgtKiiVuZIiMhRiLrOWEXd6I3WjLNLy7yAm9/Zju2nihq9t25XFnQGgaHd/NEnlJMmiOwVEzs7FhXoCQB4K+WkzJEQkaMwdWQo6zK7Ed07QaEA/s4vR0Fp9SWP/WFfLlJPFWHeh7vxd359vU+d3oDPdhgnTbC1jsi+MbGzY4fPyrPyBRE5LmlWbN1rPw83DAj3BWBcMeJSTIWMy2p0mPO/XThXt6Rh8tEC5JVWI8DTDZMGWK4EFRFZHhM7O/blffWlXmp0ehkjISJ7VVBWjf/88bdU+9I09ljRYCK9aXbs5svUszM0GLecU1yFeR/tRrVWL02amDk0AmoXrjRBZM+Y2Nmx/mG+0vMl3x+SMRIislePf3kA/00+jutXb8EXu7OkcifKBpldw3F2l5p0pq+beXHTkC7w83DFvqxi3PXhLmw+XgiFArg1nrXriOwdEzs71nANxnW75FvejIjs054z57Hp73MAgCqtHk98dQBnSxqPoxvSzR9qFyXyS2tw8lzzyxSalpTtHuSFt28bAleVAltPGCdSXNWrMyICPCx/EURkUUzsiIgc1L9//xsAMHNoFzye2BuqBoXMG3bFalxVGBYZAODSy4sZGixHFh/dCctvjJXe46QJIsdgV3XsqLEQHw3y6mayCSGgUHAFCqKOJPtCJX49mIcbB4ejk5da2r7r9HlsO1kEV5UCD43viS7+HoiPCsDD6/ahuLIW4X7uZucZ2SMQW04UYsuJItw5MgoA8HLSUWh1Bjw9uQ8UCoXUFWta6Wb6kC4wCIHc4mqMYy1NIofAFjs79/KM+r+Yb1m7Q8ZIiEgOq5NP4KVfjuD61VuwP6tY2v7V7mwAwA2DwtHF39hFOjQyACmPX4XURePh5+Fmdh7TOLvtp4qg0xtQUaPDWykn8e6WDGw7aexu1UstdvXH3TQ0Ag8n9OSyhkQOgomdnRvbq375s9QmioYSkXM7W9din1tSjZvWpGL9rkzU6gz4Nf0sAOCGQV3M9ndVKeHTxHJffcN84OfhivIaHfZnl0Cnr59EsXbzKQDGdakBmHXpEpFjYWJHRGTHiiuNK89EdvJArd6AJ78+iFvf3Y7Sah2CvNUYHhXQovOolApc2d24BvXWE4VS6xwApBw7h+P5ZY26YonI8TCxcwArbhooPS+t1soYCRHZ2oW6xG7FTQPxeGJvKBTArtMXAACTY0Nb1bpmqme35UShlMSZvLs5w2zyBBE5JiZ2DuDGQeHS82/TcmSMhIhsrbjC+Mecv6cbHhzXAx/MGQ4/D1coFMCNF3XDXo5pnN3ezAsor9GZvfft3hzklxpXmmCLHZHjYmLnABp+yS75gYWKiTqK7AuVKKtLwPzcjePmxvbqjA0LxuLH+aMwoIvvpQ5vpGuAB7r4u0OrF0itmzDhplJiUFc/1OoNOJhTAoAtdkSOjIkdEZGdOVNUgUfW7cXYV1MAAB5uKvi610+ICPRSo39465I6AFAoFFKr3ebjxsLGSiUwb3S02X6cPEHkuJjYOYiGs2NfTjoqYyREZG2PrN+H7/blQm8QGNmjEz6aOxwuKst8XTccZwcYW+cS+4UgIqC+7h27YokcFxM7B/HsdX2l52+lnJQxEiKytjNFlQCA9+4Yik/vvgJDI1s287UlTDNjy6qNXbxKpQIqpQJz64oWA+yKJXJkTOwcRI8gL7PXL/50WKZIiMiaanUGnK8wzoQd1NXf4ufv5KVG31Af6bWp23Xm0Aj4aIyLEbmqmNgROSomdg7kxEuTpOfvbcmQMRIispZz5caZqa4qBfw9GhcatoRRPQOl56bWOU+1C16ZMRBTBoZhdM/OzR1KRHaOiZ0DsdQYGyKyX/l1K00EeWustja0aZwdYD6ebmL/ELx28yC4u6ms8rlEZH3MFByMt9pFev7zgbMyRkJE1nA4txQAEO7nfpk9225YpD/c6v5Q5Hg6IufCxM7B7Hw6QXr+4GdpMkZCRNbw4/5cAMD4PkFW+wwPNxcM7uYHgKVNiJyNy+V3IXtycReJ3iD4xUzkoHR6A/ZnF6NWZ1zKq7JWh52nzwMArhsYZtXPHtUjENtPnYeSf94TORUmdg7o3jHRePuvUwCA2e+k4sv7rpQ5IiJqi5eTjmLt5sYToYZF+lu1KxYAro4Jxorf/0ZnL7VVP4eIbIuJnQNaeG0fKbHbdfoCCkqrEeSjkTkqImqtEwXlAIBgHzV8NMYZsG4uSjyS0Mvqn903zAdf3z8C4X4eVv8sIrIdJnYOalSPQKly/PB/JeP08skyR0RErVVRqwdgLEB+Xax1u16bMqSb5QofE5F94OgKB/XxXcPlDoGI2qmqLrHzYHkRIrIQJnYOSqFQYGSPTtLr9JwSGaMhotaoqNHh5aSjOHLWWNrES22dQsRE1PEwsXNgH8+Nl55ft3qLjJEQUUvtzypGwspNeCvlJHQGgYQ+QYjt4it3WETkJDjGzoEpLypzUlWrZ8V4Ijv3ym9HcbakGhEB7lhyXT+M7xNktRUmiKjjYYudg0t79hrp+ff7cmSMhIhawjQT9r+zByGhbzCTOiKyKCZ2Di7A0016/tQ3B2WMhIgup7xGh/zSGgBAdKCnzNEQkTNiYudkTK0BRI6qWqvHnP/txH83HIcQQu5wLKZaq8cj6/YCAEJ9NfDzcLvMEURErcfEzgkcfG6C9Dxh5SYZIyFqvwPZJdh47Bz+s+FvrNl06pL7vrv5FBZ8sQ81Or2Nomub8hod7vzfTmw4UgC1ixL/unGA3CERkZNiYucEvDXmpRJ0eoNMkRC1X8Pf3/9s+Fuq9daUpT8fwTdpOfhsR6YtQmsTg0Hgn+v3Yfup8/BSu+DDucMxrneQ3GERkZNiYuck+oT6SM97PP0rKmt1MkZD1HY6Q333a63OgL2ZF5rcT99gvw1H8q0eV1ut+esk/jicDzeVEh/OHY4rojtd/iAiojZiYuckvn3gSrPXI5f/KVMkRO3TMGEDgO2niprcr7RKKz3fffoCqrX21x274XA+Vvx2DADw/NR+GNLNX+aIiMjZMbFzEhpXFR5P7C29vlCpRXkNW+3I8eguTuwyzje5X3GDxK5GZ8Dm44VWjau19pw5jwc/S4NBALOHRWD2sAi5QyKiDoCJnRN5cFwP/O/OYdLr/kt+kzEaorbRG4xj7AK9jLNG92UWo1qrR8qxAsx4axsO5xqX4WrYYgcAvx48a9tALyGnuApzP9iNGp0B42OCsHRaf9arIyKbYGLnZMbFmA/KvlBRK1MkRG1TXmPsUu0T6oMgbzVq9QbszSzG8l+PYveZC7j2tc3QGwRqL5ok9MeRfLuZHfvDvlyUVGnRL8wHr98yGC4qftUSkW3w28bJDXrxD7lDIGqVonJjAd/OXmrE10002JFRBDeX+q+ra1ZuwqK6gtzdO3siyFuNsmodtp1oejyerZkmfEyLC+cyf0RkU0zsnNDhFxLNXkc+9TPOFFXIFA1R6xTVtTJ38nJDfFQAAOMECnfX+gTpVGEFjtcV43ZVKTGxfwgA4Bc76I7NLa7Cpr/PAQCGRHKyBBHZFhM7J+Th5oL/zBpotm3sqylOVcWfnNPZkiq8tyUDANDJSy2VBtmbWYzzzQwrOJpXhkn9QwEAvx/Oh1bmOo4rfj+GGp0Bw6MCMCjCT9ZYiKjjsavE7o033kBkZCQ0Gg3i4+Oxc+fOZvc9dOgQpk+fjsjISCgUCqxatard53QmNwzqApXSfLD2h9tOyxMMUQt9tiNTKncyLNIf3Tt7ItBLjRqdAccLyqFQAL8+PBobH7sK/cONtRu7d/bE8KgAdPJ0Q0mVFqkn5euOXb8rE9+k5QAAnr62DydMEJHN2U1it379eixYsABLlixBWloaBg4ciMTERBQUFDS5f2VlJaKjo7F8+XKEhIRY5JzO5uS/rkX68/Xdss/9eBgbj3WMayfHsX5XJma8tQ2ZRZXIvlAFALhnTDSGdAuAQqGQumMB4PrYMPQJ9UFUoCc+n3cF7hkTjaXTBkClVCCxrjv213Rjd+zZkiqMXP4nVm342ybX8efRfCz6Nh0AMH9cDwxkax0RycBuEruVK1di3rx5mDNnDvr27Ys1a9bAw8MD77//fpP7Dxs2DK+++ipmz54NtVptkXM6Iy+1i9nrOf/bhVodlxwj+7Ho23TsPnMBCSs3IafYmNj1D/eV3r8iuj6xm9S//o84b40rFl3bByO6G7trrzV1xx7Kh05vwFe7s5FTXIVVG45b/RoKy2vw4Kd7oTcITB/cBY9O6GX1zyQiaopdJHa1tbXYs2cPEhISpG1KpRIJCQlITU212TlrampQWlpq9nAGGx+7yux1r2d+lScQoiZ41E2KqNUbsLOuGHG4n0Z6f3hU/RJcl2oFi48OgL+HK4oqarHz9Hn4e7pJ7xWUVls4anO7T19AlVaP6M6eWD59ALtgiUg2dpHYFRYWQq/XIzg42Gx7cHAw8vLybHbOZcuWwdfXV3pERDhHpfioQE/sXzxB7jCImhTiqzF73S/MB7Fd/KTXvYK9cOeVkbhnTDRCL9q3IVeVEhP61nXHHsxDw9xqf3aJRWNuqKxaizc2ngAADI8MgCtr1hGRjPgN1MDChQtRUlIiPbKysuQOyWJ8PVzx0dzh0uu/88tkjIaoXk3d0IDHJvTCo9f0wsd3xZslRwqFAs9N6YdFLZiMMGmAMbH7ePsZPF033g0ADmQXWz5wANVaPe76cDcO5pQgwNMN947tbpXPISJqKZfL72J9gYGBUKlUyM/PN9uen5/f7MQIa5xTrVY3O17PGYzuGSg9n/CfvzAg3Bc//mOUjBFRR1ej06OwriBxYr8Q9Az2btf5ruweiFBfDc6WmHe9HrBCi53eIDD/szTszDgPb7ULPpo7HFGBnhb/HCKi1rCLFjs3NzcMGTIEycnJ0jaDwYDk5GSMGDHCbs7p6C5u7TiYU2IXBV3JsQkhcNcHu3DzO9vxd34ZcusmQFyOwSDw6Bf7UVmrR7CPGt07e7U7FjcXJZIeHoPnru9rtv1AdrHF6ziu+P0YNhwpgNpFiXfvGGo24YOISC52kdgBwIIFC7B27Vp8+OGHOHLkCO6//35UVFRgzpw5AIDbb78dCxculPavra3Fvn37sG/fPtTW1iInJwf79u3DiRMnWnzOjujICxPNXj/waZpMkZC9yCmuwurk4yiubNu6wmdLqpF8tACpp4ow4T9/4crlf6K8RnfZ4/ZlF+OnA8Y/LG6L7wal0jITDnw9XHHnyCgsnBQjbbtQqZVKqbRGc8ngTwdy8VbKSQDAKzNipaXPiIjkZhddsQAwa9YsnDt3DosXL0ZeXh7i4uKQlJQkTX7IzMyEUlmfh+bm5mLQoEHS6xUrVmDFihUYO3YsUlJSWnTOjsjdTYWT/7oW3Rf9Im2LfOpnAMDp5ZPlCotk9NDne7HnzAXsybyAD+YMv+S+eoNoVPj6dGHj5eq+25uD267o1uQ5tHoDko/k475PjH9URHbywPyre7Qx+ubdO7Y7/m9EN8x+ZzsOZJdgf3YxIgI8Wnz88fwy3P7+TnTv7IVXb4pFqK87AKCgrBoLvzauU3vvmGhMjQu3eOxERG2lEFxnqlmlpaXw9fVFSUkJfHx85A7HonR6A3o83bjsCZO7dqqoALzquhTLywFP+x9zZUrsgaZ//iVVWsx4axt6BHnh5LlyCAG8cetguKqU+Of6fdiXVdzomN7B3kh6ZHSj7v9anQGT/vsXTp6rTwZnD4vA8umxlrugizzz3UF8sj0T94yJxqJr+1x2/5IqLQ7llmDpT0dw+Kyx5JGfhytWzBiI8X2C8M/1+/DdvlzEdvHFtw+MbJToEhFZWmvyEbtpsSPbclEp8cqMWDzx1QGz7cNe2oCUx66Cp5q/Gh2Fl9rlkl2nqScLcbygHMcLyqVtk1/bDI2LCmUNjpsxpAsOZBfj7/xyHMsvw67TFzC8waoRALDxWIFZUgcAUwaGWehKmhYb7gcgE/ubSEAvtv1UEf7vvR3Q6o1/7/p7uCLc3x3pOaW4+6PduLJ7J2w7WQSFAnhhan8mdURkd+xmjB3Z3syhETi9fDIeT+wtbTtXVoN+S36DEAJnS6qw7UQhCsqqZV9YnazH191Vev7zgcaTaQ7nNi7UrdULlNXoEOjlhmU3DsBz1/fFs5P74vd/jsXNw431Hz/efqbRcclHzGepf//gSFzZI7DRfpYUG2Gc1JCeUwKD4dIdFF/syoJWL9DZW43EfsH4YM5wfH3/lZg7MgoAsK1uHdqFk2IQxyXDiMgOsVmG8OC4HtiRcR5//X1O2ha18JdG+2Usu5YV9Z3ImaIK3PruDmkZLwB48LM0jOo5wSzZM3VHmjye2BuDIvxQrdPjyu6B0NStHGFy2xXd8PnOLCSln0VBWR8EedcXFd595gIA4PYR3dDF3x2xXaw/k7RHZy+4u6pQUavHqcJy9AhquqSK3iCQfNS4lvLrNw8ymxCx+Pq+uLJ7JyxPOoqJ/UIwb3S01eMmImoLttgRAJgVL27OFcuSL7sPOY55H+1ucqZoek59zTet3oC//i4EALx28yA8ntgbtwzviit7BOLqmOBGSR0A9AvzxeCuftDqBdbvNC/ynVdXX+6uUVG4Z0x3m/yh4KJSon+4cUzK/qzm69kVlFWjpEoLF6UCQ7r5N3o/oW8wNiwYi8cSe/MPHCKyW0zsSHLqX9de8v380hp80kT3Gtmny82L+ju/fsxcz6D6GnINJ0M89Ple1OoNUCiAq3p3xoPjepitwdqc20dEAgA+25kJXV03/t7MC6is1QMAlDZOjExLlF1qBYodp4zr1Ib4auDCZcGIyEHx24skSqUCJ16ahLgIP0QFeuLkv67Fx3cNNxuD98x36fjzaL7Fi72SZRSV18BgEMgvrcaIZX/isS/3S4mVicEgsDfzgvR6/rgeeGBc/VJYezOLpedpdfvdFt8NPpr67tnLmTQgBAGebjhbUo3v9+Vi4TcHccOb29p4Ve1n6vJtbs3YD7Zm4JH1+wAA8VGsSUdEjotj7MiMi0qJ7x4cKb0e3bMzRvfsjFd/OyZtm/vBbgDANw9cCTeVkhX37cSW44W47b0duPPKSFzZvRPySqvx1Z5sGITAihkDpQLAX+7JwpN1ddgA4L6rusPdVYW1f2Xg8NlS7Mu6ACEEdAaB/NIaaZ/WULuoMGtYBN5KOYlHv9zf6H1XG7eImVrsDp8txYWKWrNWRyEE3qwrNjx7WAQWX7RqBRGRI2GLHbXI1/df2WjbjW9uw3Wrt+BMUeMCtWR7n+00dpN/sO00ahu00n2TloMpb2zBx6mnAQA5F42r83RTQaVU4JsHroSrSoHC8lr8digf4/+9CYCxHEqnFnS/XuzW+K5oqsf1kYSeCPHVNH7DiiI7eSAmxBu1OgNeafBHCmDski4oq4GbSonnpvSDhxv/3iUix8XEjlpkSDd/PDGxd5PvjX01BTU6Pc5XtG1JKmvbcaqoySK6zqbhTNb0HPOZrOk5pXj2+0PIOl8J7UUlP0wTATSuKiT0Ma7Kct8ne5B5vhIAsHLmwCYnSVxOF38PjI8JMts2sIsvHkno1epztZdCocALU/sDANbtyjT7fVj+6xEAwJhendt0nURE9oSJHbXY/WO7Y9G1MegX1rjqde9nkjD4xT/wf+/tkCGyekII/HrwLCKf+hm/H8pDeY0Os97ZjmlvbEVBabWssVnDhYpaXL96C17/8ziO5ZVJ2/84nAcAuDomCL89Mkba/tuhPGh19a15j00wT7IuXtrrkYSemNAvpM3xNVxW7MZB4Vh3z4g2n6u9hkcF4MZB4RACWPx9OvQGgT8O52PjsXNwVSmw8NqYy5+EiMjOMbGjFlMoFLhnTHf8/NBoHHo+EWN7dW60z+bjhbj7w902jWv7qSKs/esUftyfi6iFv+D+T41rkN7z8R4UlddI+w3/V325ltve3YHIp37GyXPljc7nSJKPFuBgTglW/P430hpMejCt7hDo5YbeId5YUjdu7PdD+aipS+weGt8T86/uaXa+fmG+iK9bLWJEdCfc38qxdRcb07MzBnf1Q7ifOxZe2wfubvK2iD11bQy81S44kF2CxFV/Yd5Hxt/VuSOj0L2z12WOJiKyfxxMQm3iqXbBh3OHI6OwAuNWpJi9t+FIPiKf+hlpz16DgDaMzboUvUGgWquHVm+An4cbDAaB2e9sb3b/sa+ax/b9vhzoDQJbThhrs935v53Y/MTVFo3RlrIvVF7y/V7BxmK8if1C8PyPh7HrzHm4qExdr03/XffWbUPw9Z5szB4eAbVL+xIxpVKBr++/EnqDsIsSIkHeGvzzml544afDOFFQDoUCuLp3EP4xvuflDyYicgBM7KhdogI9sWHBWLy7+RTW7TIvRjv4xT9w9MWJFhu3pDcIdF9UvyLGT/8YhWV146Na6uF1+8xeZ52vwgdbM/BmykkEeqnx3p1DEerrbolwbeJE3fqtgV5ueHRCb1w/MAxTVm/BqUJji52pXlyYnztG9QjElhOF0rJYzSVtAZ5umDfGcisrKBQKKZm0B7eP6IZqnR6uSiUmx4YizM9xft5ERJcj/5/Q5PB6BHlh+fRYHH9pUqP3Yp5NwgdbM1BxiUXmW6rhGDIAuG71Fmw9UdRov9uu6Npookdiv+Bmz/vcj4dRUFaDw2dLMWLZn+2O09IMBoFDuSXQN5j08Hd+GX7cn4szRcYWuxen9sfNw7vCS+2CK3vU12EL86ufffp/I+rHuwHNt9g5OxeVEg9c1QPzxkQzqSMip8MWO7IYV5US6c8nov+S38y2P/fjYTz342Hp9aJrYzBvdLQ0G1OnN8AgADeXSycai79Pb/a9JyfG4P6rukOnN0hdfn1CfQBhXDEBAN7adBKvJB1r9hwmDc9hD1746TA+2HYafh6uuGV4V/h5uOJfvxw128dTXf+/8rS4cHyyPRMDI/xwTd/6iQ/X9AnGwAg/7K+bEappZzcrERHZHyZ2ZFFeahccWzoRvZ9Janaff/1yVEpMXJQK6Opaov6Z0AsPjOtuVry2sLwG63dlIcRHIy0gf7HvHhyJuAg/4/kaHDuut3mpjQeu6mGW2P13dlyjrlkAOJpXZjdFl4UQ+GDbaQBAcaVWKqR7sYaTEoZGBuDXh0eji787VMr6LlClUoH/u6KblNipO2iLHRGRM+M3O1mc2kWF08snY1ELykfoGnQv/mfD3+j59K/YfqoIGYUViHzqZwxdugGv/nbMbPWCbU9djbW3D4WbixLfN0jqWsLUenf3qChMGRiG8Ca64n4/lNfi81mLwSAghGhy1QYTU1dqRIA7BlyUiPYJ9YF3E0uAXdOnvkvaEt3jRERkXxSCi342q7S0FL6+vigpKYGPT+PabXR5FTU6PPhZGlKOnQMAhPu5I6e46jJHXdrp5ZPbFc/+rGIMjwqAi0qJkkotFn57AFMGhuHv/HKs/ONvAMBHc4djTBPlXC7/ARWAV13ZjPJywNOzVYeXVWtx94e7sSPjvNn2cb0747WbB6GyVo/Nxwvxy8GzeGZyH0S3oUTHk18dwI8HcvHno1fZfAUIIiJqvdbkI0zsLoGJnXUs/j4dH6WeadOxn8+7AiO6W2eR9oPZJbj+9S0AgBAfDbYvGt/6k7Qzsft8ZyYWfnPQbJvaRYljSxtPTGkrg0FAAGbdtEREZL9ak49wjB3Z3AtT++OFqf2h0xvwctJR9Avzxau/HWuyJW/9PVdgcDd/mywaP6BLfXdmXmk1Kmt1Nls3VAiBb9Jy8K9fGpdv+e7BkRb9LCUTOiIip8UWu0tgi53t5BRX4fU/j6Oztwa/H8rDx3fFo7O32uZx/PX3Odz+/k7p9e//HCMV+W2RNrbYfbk7C49/dUB6vXLmQIT4aHCuvAZT48Jb/vlEROR02BVrIUzsOp6SKi0GPv+72bYXpvbD7SMiW3aCNiR2ucVVuHJ5ff28yE4e+OaBkRZftYOIiBwTu2KJ2sjX3RUqpcKsGPDi7w/h5uFdG3UHF5bXIOdCFWK7+Eo1+VrjeH4ZXvjpMDYfL5S2fTYvHld2D2z7BRARUYfGcidEF9n8xLhG2w7nljbaNnTpBkx9YyuiFv6Cg9klrf6cN1NOSkldiI8Gmx6/ikkdERG1CxM7oouE+blj+8LxcGkwySDpotp2GXVrsZpc//oWrPz98qtaNGRaz9VVpcAndw9Ht06tm0FLRER0MSZ2RE0I8dXgyIsT8eg1vQAA6TnmLXJJ6Y2LGL/25wnszGi8dm1TPt1xRloB4teHR6NHUCsmaBARETWDiR1RM1xVSqlm3smCcrP3juU17poFgNSTl0/sKmp00tJmU+PCmNQREZHFMLEjuoQeQcYZrrkl1Xjnr5Oo0enx3A+H8N2+XADAQ+N7on94/QylA5cZayeEwIrfj6GkSoswXw1WzoyzWuxERNTxMLEjugQ/j/qSI//65Sh6P5OED7adlrbdNKQLPpobj/+7ohsAmE2iWLcr02wsXnFlLZ76+iD+t9V4/HUDw7j6AxERWRQTO6LL+PTu+Ca3/+PqHogI8ECApxuWXN8X7q4qlNXopPef/+Ewxq1IgVZvwPZTRYh74Q+s350FAJgxpAsem9DbJvETEVHHwcSO6DJG9gjEA1d1N9u2+uZBeLRBYuaiUiK2wZJkDW0+fg5z/rdLev2fWQOx4qaBcHPh/35ERGRZLFBM1AJPTIzBP67uCReVArU6AzzVjf/XGdTVHweO5TbaPveD3dLz128ZhOtiw6waKxERdVxsMiBqIXc3FVxVyiaTOgC4IjrgksffPLwrkzoiIrIqJnZEFjK2V2fcNLSL2bYh3fwBAME+ajw5kWPqiIjIutgVS2QhCoUCL0ztL71+/ZZBGB0XifzSakQEeMgYGRERdRRM7IisZHyfYMBFyaSOiIhshl2xRERERE6CiR0RERGRk2BiR0REROQkmNgREREROQkmdkREREROgokdERERkZOwq8TujTfeQGRkJDQaDeLj47Fz585L7v/ll18iJiYGGo0GAwYMwC+//GL2/p133gmFQmH2mDhxojUvgYiIiEg2dpPYrV+/HgsWLMCSJUuQlpaGgQMHIjExEQUFBU3uv23bNtx888246667sHfvXkybNg3Tpk1Denq62X4TJ07E2bNnpcfnn39ui8shIiIisjmFEELIHQQAxMfHY9iwYXj99dcBAAaDAREREfjHP/6Bp556qtH+s2bNQkVFBX766Sdp2xVXXIG4uDisWbMGgLHFrri4GN99912bYiotLYWvry9KSkrg4+PTpnNQB1NRAXh5GZ+XlwOenvLGQ0REDq81+YhdtNjV1tZiz549SEhIkLYplUokJCQgNTW1yWNSU1PN9geAxMTERvunpKQgKCgIvXv3xv3334+ioiLLXwARERGRHbCLJcUKCwuh1+sRHBxstj04OBhHjx5t8pi8vLwm98/Ly5NeT5w4ETfeeCOioqJw8uRJLFq0CJMmTUJqaipUKlWjc9bU1KCmpkZ6XVpa2p7LIiIiIrIpu0jsrGX27NnS8wEDBiA2Nhbdu3dHSkoKxo8f32j/ZcuW4fnnn7dliEREREQWYxddsYGBgVCpVMjPzzfbnp+fj5CQkCaPCQkJadX+ABAdHY3AwECcOHGiyfcXLlyIkpIS6ZGVldXKKyEiIiKSj10kdm5ubhgyZAiSk5OlbQaDAcnJyRgxYkSTx4wYMcJsfwD4448/mt0fALKzs1FUVITQ0NAm31er1fDx8TF7EBERETkKu+mKXbBgAe644w4MHToUw4cPx6pVq1BRUYE5c+YAAG6//XaEh4dj2bJlAICHH34YY8eOxb///W9MnjwZ69atw+7du/HOO+8AAMrLy/H8889j+vTpCAkJwcmTJ/HEE0+gR48eSExMbFFMpgnDHGtHLVZRUf+8tBTQ6+WLhYiInIIpD2lRIRNhR1avXi26du0q3NzcxPDhw8X27dul98aOHSvuuOMOs/2/+OIL0atXL+Hm5ib69esnfv75Z+m9yspKMWHCBNG5c2fh6uoqunXrJubNmyfy8vJaHE9WVpYAwAcffPDBBx988CH7Iysr67K5i93UsbNHBoMBubm58Pb2hkKhsMpnlJaWIiIiAllZWez6bSHes9bjPWs93rO24X1rPd6z1uto90wIgbKyMoSFhUGpvPQoOrvpirVHSqUSXbp0sclncUxf6/GetR7vWevxnrUN71vr8Z61Xke6Z76+vi3azy4mTxARERFR+zGxIyIiInISTOxkplarsWTJEqjVarlDcRi8Z63He9Z6vGdtw/vWerxnrcd71jxOniAiIiJyEmyxIyIiInISTOyIiIiInAQTOyIiIiInwcSOiIiIyEkwsbOCN954A5GRkdBoNIiPj8fOnTsvuf+XX36JmJgYaDQaDBgwAL/88ovZ+0IILF68GKGhoXB3d0dCQgKOHz9uzUuwOUvfszvvvBMKhcLsMXHiRGtegs215p4dOnQI06dPR2RkJBQKBVatWtXuczoiS9+z5557rtHvWUxMjBWvwPZac8/Wrl2L0aNHw9/fH/7+/khISGi0P7/PzLXknvH7zNw333yDoUOHws/PD56enoiLi8PHH39stk9H+D1rVosXTqUWWbdunXBzcxPvv/++OHTokJg3b57w8/MT+fn5Te6/detWoVKpxCuvvCIOHz4snnnmGeHq6ioOHjwo7bN8+XLh6+srvvvuO7F//34xZcoUERUVJaqqqmx1WVZljXt2xx13iIkTJ4qzZ89Kj/Pnz9vqkqyutfds586d4rHHHhOff/65CAkJEf/5z3/afU5HY417tmTJEtGvXz+z37Nz585Z+Upsp7X37JZbbhFvvPGG2Lt3rzhy5Ii48847ha+vr8jOzpb24feZuZbcM36fmdu4caP45ptvxOHDh8WJEyfEqlWrhEqlEklJSdI+zv57dilM7Cxs+PDh4sEHH5Re6/V6ERYWJpYtW9bk/jNnzhSTJ0822xYfHy/uvfdeIYQQBoNBhISEiFdffVV6v7i4WKjVavH5559b4Qpsz9L3TAjjF+HUqVOtEq89aO09a6hbt25NJintOacjsMY9W7JkiRg4cKAFo7Qv7f2d0Ol0wtvbW3z44YdCCH6ftcTF90wIfp+1xKBBg8QzzzwjhOgYv2eXwq5YC6qtrcWePXuQkJAgbVMqlUhISEBqamqTx6SmpprtDwCJiYnS/hkZGcjLyzPbx9fXF/Hx8c2e05FY456ZpKSkICgoCL1798b999+PoqIiy1+ADNpyz+Q4pz2x5vUdP34cYWFhiI6Oxq233orMzMz2hmsXLHHPKisrodVqERAQAIDfZy1x8T0z4fdZ04QQSE5OxrFjxzBmzBgAzv97djlM7CyosLAQer0ewcHBZtuDg4ORl5fX5DF5eXmX3N/039ac05FY454BwMSJE/HRRx8hOTkZL7/8MjZt2oRJkyZBr9db/iJsrC33TI5z2hNrXV98fDw++OADJCUl4a233kJGRgZGjx6NsrKy9oYsO0vcsyeffBJhYWHSP7D8Pru8i+8ZwO+zppSUlMDLywtubm6YPHkyVq9ejWuuuQaA8/+eXY6L3AEQWcPs2bOl5wMGDEBsbCy6d++OlJQUjB8/XsbIyJlMmjRJeh4bG4v4+Hh069YNX3zxBe666y4ZI5Pf8uXLsW7dOqSkpECj0cgdjkNo7p7x+6wxb29v7Nu3D+Xl5UhOTsaCBQsQHR2Nq666Su7QZMcWOwsKDAyESqVCfn6+2fb8/HyEhIQ0eUxISMgl9zf9tzXndCTWuGdNiY6ORmBgIE6cONH+oGXWlnsmxzntia2uz8/PD7169erwv2crVqzA8uXL8fvvvyM2Nlbazu+z5jV3z5rC7zNjd22PHj0QFxeHRx99FDNmzMCyZcsAOP/v2eUwsbMgNzc3DBkyBMnJydI2g8GA5ORkjBgxosljRowYYbY/APzxxx/S/lFRUQgJCTHbp7S0FDt27Gj2nI7EGvesKdnZ2SgqKkJoaKhlApdRW+6ZHOe0J7a6vvLycpw8ebJD/5698sorePHFF5GUlIShQ4eavcfvs6Zd6p41hd9njRkMBtTU1ABw/t+zy5J79oazWbdunVCr1eKDDz4Qhw8fFvfcc4/w8/MTeXl5Qggh/u///k889dRT0v5bt24VLi4uYsWKFeLIkSNiyZIlTZY78fPzE99//704cOCAmDp1qlNN27b0PSsrKxOPPfaYSE1NFRkZGWLDhg1i8ODBomfPnqK6ulqWa7S01t6zmpoasXfvXrF3714RGhoqHnvsMbF3715x/PjxFp/T0Vnjnj366KMiJSVFZGRkiK1bt4qEhAQRGBgoCgoKbH591tDae7Z8+XLh5uYmvvrqK7PSHGVlZWb78Pus5feM32eN79m//vUv8fvvv4uTJ0+Kw4cPixUrVggXFxexdu1aaR9n/z27FCZ2VrB69WrRtWtX4ebmJoYPHy62b98uvTd27Fhxxx13mO3/xRdfiF69egk3NzfRr18/8fPPP5u9bzAYxLPPPiuCg4OFWq0W48ePF8eOHbPFpdiMJe9ZZWWlmDBhgujcubNwdXUV3bp1E/PmzXOaBMWkNfcsIyNDAGj0GDt2bIvP6Qwsfc9mzZolQkNDhZubmwgPDxezZs0SJ06csOEVWV9r7lm3bt2avGdLliyR9uH3WevuGb/PGt+zp59+WvTo0UNoNBrh7+8vRowYIdatW2d2vo7we9YchRBC2LaNkIiIiIisgWPsiIiIiJwEEzsiIiIiJ8HEjoiIiMhJMLEjIiIichJM7IiIiIicBBM7IiIiIifBxI6IiIjISTCxIyIiInISTOyIiIiInAQTOyKiVvr888/h7u6Os2fPStvmzJmD2NhYlJSUyBgZEXV0XFKMiKiVhBCIi4vDmDFjsHr1aixZsgTvv/8+tm/fjvDwcLnDI6IOzEXuAIiIHI1CocBLL72EGTNmICQkBKtXr8bmzZtbndT9+eef2Lt3Lx599FErRUpEHQ1b7IiI2mjw4ME4dOgQfv/9d4wdO1bucIiIOMaOiKgtkpKScPToUej1egQHB5u9N2XKFDz88MO44oor0Lt3b+zcuRNTp05Ft27d8Oabb5rtd/DgQVx77bVYvHgxRo4ciejoaKSnp9v6cojISTCxIyJqpbS0NMycORPvvfcexo8fj2effdbs/YMHDyI2Nhbbt2/H+PHj8fjjj+OTTz7Bxo0b8b///U/a7+jRo4iJiUF6ejq6du2KrVu34qGHHsL3339v60siIifBMXZERK1w+vRpTJ48GYsWLcLNN9+M6OhojBgxAmlpaRg8eDDKysoghMBdd90lHfPQQw/B29sbBQUF8PHxAQCUlZVBo9GgqqoKCoUCd999NwBAq9XCz89PjksjIifAFjsiohY6f/48Jk6ciKlTp+Kpp54CAMTHx2PSpElYtGgRAODQoUMYNmyYdMzBgwcRHx8PAEhPT8eAAQOk/fr164f09PRG+/fr189Wl0REToYtdkRELRQQEICjR4822v7zzz9Lz03dsCbZ2dno0qWL9J4psTM9T09Px8CBA82ON+1DRNRabLEjIrKgholdVlYWIiIizN5rmNj1798f6enp0v46nQ7FxcXo1KmT7QMnIqfAcidEREREToItdkREREROgokdERERkZNgYkdERETkJJjYERERETkJJnZEREREToKJHREREZGTYGJHRERE5CSY2BERERE5CSZ2RERERE6CiR0RERGRk2BiR0REROQkmNgREREROYn/BzqSN4o46leuAAAAAElFTkSuQmCC\n" 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" 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\n" 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\n" 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\n" 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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uOaPPT6RkKkEw00yRRFQtzJgxA6tXr0Z2dra+yU4u6enpqFOnDhYtWsRJZmWWlpaGhg0bYv78+Zg3b57c4RCRkdjHjsiGlJzGBBAHK2zatAlPPvmkxZO6h2MBivvmBQYGWjQWKi06OhparRZjxoyROxQiMgH72BHZkJ49eyIwMBBt2rRBSkoKvvzyS2RmZspSI7Nt2zZER0dj4MCBqFmzJn7//Xds3boVAwYMKHdtVzK/gwcPIj4+HosXL8awYcOqtG4rEVkem2KJbMi7776LHTt24ObNm1CpVOjcuTMiIyNlmbLizJkzePvttxEXF4fMzEx4enri+eefx6JFi0rNgUaWExgYiGPHjuGJJ57AV199pV8bloiqByZ2RERERArBPnZERERECsHEjoiIiEghmNgRERERKQQTOyIiIiKFYGJHRGQmDx48gKOjI2rXro0FCxbIHQ4R2QAmdqQYly5dwgsvvIDmzZvD1dUVHh4eeOqppx65ZuW4ceOgUqnKfd26datSZZhyXlP8/PPPBudxcHBAgwYNEBQUhOjoaOh0ukqd15Ly8vLwzjvvwNvbGy4uLujevTt+/fVXSY835V799ttv5d6n//73v5W+zsLCQqxbtw5NmzbFBx98gNTU1Eqfy1pY4t6Zcj+ys7MRGRmJZ555BnXr1oVKpUJ0dLQUl2oRVfl5Gnvtlf23EQAWL14MlUqF9u3bm3ppJBNOUEyKkZiYiKysLISGhsLb2xu5ubnYuXMnhgwZgtWrV+O1114r87jXX3+91DxugiDgjTfegK+vr8E8XqaUYcp5TXHu3DkAwIoVK1C/fn0UFhYiKSkJP/74I8aPH4/t27dj165dcHR0rNT5LWHcuHHYsWMHZsyYgZYtW+onKj506BCefPJJSY6vzPMwbdo0dO3a1WDbY489VunrrFmzJkJDQ+Hg4IBXXnkF58+fl2XOQClZ4t4VMeZ+pKWl4YMPPkCTJk3g5+eH3377rcrXaElV+Xkae+2V/bfx5s2b+PDDD1GjRo2qXiZZknzL1BKZX2FhoeDn5ye0atXKpOOOHDkiABAWL14saRmmnLc8L7/8suDs7CwUFhaW+u7dd98VAAjLly+v9PnN7cSJE6UWub9//77QokULoWfPnmY9vrx7dejQIQGAsH37dhOvxjhnz54VAAiffvqpWc5vKZa6d6bcjwcPHgi3b98WBEEQTp06JQAQNmzYYMJVyaeqP8+qXLsx/26NHDlS6Nevn9CnTx+hXbt2Rp2X5MemWDKLbdu2oXPnznBxcUGbNm2wf/9+CIKAdu3aYfHixRaLw97eHj4+PkhPTzfpuC1btkClUmH06NGSllHeea9cuYLr168bFdu5c+fQpk2bMtd2jYyMRO3atbF582ajziWHHTt2wN7e3qCWwNnZGRMmTMDx48dx48YNsx1vzL3KyspCYWFhud+bcq+KPHjwAAAQHx9v0nHWRo5796j7oVar4eXlVYmrMbRmzRp07twZrq6upZp/mzdvXuXzl6WqP8+qXPujfhcOHz6MHTt26NdvpuqDTbEkublz52Lx4sUYN24cJkyYgJUrV2Ls2LFYu3Ytbt68iSlTppQ6pqCgABkZGUadv27durCzK///JDk5Obh//z4yMjLw/fffY+/evRg5cqTR8RcUFOCbb75Br169yl0nszJlVHTeNm3aoE+fPo9sRsrPz8cff/xRbsLp5OSEDh064MyZMxWep7KkuE9nz57F448/Djc3N4Pt3bp1AwDExcXBx8en3POaerwp92r8+PHIzs6Gvb09evfujaVLl6JLly4G+xh7r0qaOXMmAODy5ctGHyO16njvjLkfUnjrrbcQFRWFAQMGYPz48bh58yY++eQTFBQU4Nlnn0VAQECpY6zh52kqY38XtFotpk6diokTJ6JDhw6SlU+WwcSOJHXkyBEsXrwY77zzDj766CMAgJeXF0aMGIE5c+Zg8uTJcHd3L3Xc0aNH0bdvX6PKSEhIqHBh8pkzZ2L16tUAADs7Ozz33HP4/PPPjb6Gn3/+GXfv3sXLL78saRnGnPdR4uPjUVBQUOE/tnZ2dmYbQCHFfbp9+zYaNmxYanvRtqSkpArPa+rxxtwrJycnPP/88xg4cCA8PDwQHx+PZcuWoXfv3jh27Bg6depUYUwV+eqrr3Ds2DE0aNBA1sSuOt07c96Phx05cgRRUVGYPHkyvvjiC/32GjVqIDIyEvPnzy/Vzw+wjp+nqYz9d2vVqlVITEzE/v37JS2fLIOJHUlq5cqVqFOnDubOnavfVvQP2tWrV/HWW2+VeZyfn5/RI8Ee1fQwY8YMjBgxAklJSfjmm2+g1WqRn59v3AVAbC51dHTEiy++KGkZFZ1XMHLJ5vPnzwMAOnbsWO4+aWlpkjRNlUWK+3T//n2o1epS252dnfXfV8TU4425V7169UKvXr30n4cMGYIRI0agY8eOiIiIwL59+/TfGXuvAHHU4jvvvIOQkBC0a9cOy5Ytw71791C3bl2jz1FSXl4emjRpgr/++qtULc+jVKd7Z8r9qKpPPvkEdevWxdKlSw229+nTBwDw559/lpnYWcPP01TG/C7cvXsX8+fPx7x581C/fn1JyyfLYGJHktFqtfjll18wePBg1KxZs9T348ePh6enZ5nH1qlTR7LRgq1bt0br1q0BAGPHjsWAAQMwePBgnDhxAiqVqsJjs7OzsXv3bgQHB6NevXqSlWHseR+laERseTV2ubm5+OOPP/DCCy/ot127dg0tWrRAVlYWXF1dcf/+fYwZMwb//PMPdu7cidq1a2PNmjX49NNPkZiYCBcXFzz11FPYsWNHqfNLcZ9cXFyQl5dXantRPzQXFxdJj6/s8/DYY49h6NCh+Pbbb6HVasvs0/goH374IdLS0rBy5Ur8/vvvAMRaV2NGj5ZFrVYjJSWlUsdWx3tXkhT342GFhYX49ddfMXTo0FIjP4sSnvISaGv4eZrKmN+FuXPnom7dupg6daqkZZPlMLEjyfzvf/9DVlYWOnfubLD9zp07AICwsLByj83Pz8e9e/eMKqd+/fom/aM+YsQIvP766/jzzz/RqlWrCvfdtWsXcnNzTW4ufVQZlT3vw86fP4/69euXWwPwzTffoLCwEEOHDtVvO3fuHFq2bAlXV1ckJydjyJAh6NixI7Zu3QpHR0d8/vnn+PLLL7F9+3a0bt0aN2/exIEDB8o8vxT3qWHDhmXO4Xf79m0AgLe3d4XnrerxpjwPPj4+yM/PR05Ojsk1ZH///TdWrFiBmTNnomXLlvjnn38AiP3sKpvYVYUS7l1V7kdZrl27huzs7DLnaIuNjQUg9qksizX8PKvq4d+Fv/76C2vWrEFUVJRBM/CDBw9QUFCAa9euwc3NrdI1zmQZTOxIMkUJnIeHh8H2JUuWlLm9pGPHjknWx+5hRc0ZxnR03rx5M2rWrIkhQ4YYfX5jyqjseR92/vz5cmvrMjIyEBkZiebNm+P555/Xbz937hz8/Pxw4cIFDBkyBK+//jrmzJmj/z46OhrTpk3T/wHz8fHBuHHjyixDivvk7++PQ4cOITMz0+CP84kTJ/TfV6Sqx5vyPPzvf/+Ds7NzmTXQjxIeHo769evjvffeA1CcIDw8MnblypU4fPgwnJyc8OOPP6JDhw749ttvsXDhQmzZsgU+Pj7Yt28fvL29sXLlSpw/fx5ffvklAGD58uU4deoUHB0d8f3336NRo0b44Ycf0KJFi1LxKOHeVeV+lCUrKwuA2KevJEEQsH37drRr167ceQyt4edZVQ//Lty6dQs6nQ7Tpk3DtGnTSu3frFkzTJ8+nSNlrRwTO5JM0aCIixcv6rdt2bIFhw8fBlDcvFAWKfqrpKamokGDBgbbCgoKsHHjRri4uKBt27YAxObK69evw8PDwyDZvHPnDvbv349Ro0bB1dW1SmWUZMx5jZGcnIzU1NQy+9ddv35d33fm4MGDcHAo/tU+d+4c0tPT0b9/f3z++ecYMWKEwbHOzs744osvUK9ePQQGBlZYEyLFfRoxYgSWLVuGNWvWYNasWQDEvmMbNmxA9+7d9aMAy7tPxh5vyr26c+dOqf5E586dw/fff4+QkJAKR2GX5eeff8b333+Pr7/+Wt/EV6tWLfj4+JQaQHH+/HmcPHkS3333HdavX4+ePXvi6aefxqeffoqVK1di0KBB2LRpE9555x2cP3/e4P5fuHABx44dw/bt2xEdHY1Ro0Zh/fr1ZU4pZMl7B5R9/4w9Xur7UZ4mTZoAAPbv34/w8HD99qioKJw5cwZfffVVucdaw++CsYz9XWjfvj2+++67UsfPnTsXWVlZWLlyZZn/aSArI+80eqQkWq1WaNasmeDk5CTMnz9fWLBggeDs7Cy8+OKLAgBh3Lhxwvnz581W/rBhw4R+/foJCxYsENauXSssXLhQaN26dakJe4smP42MjDQ4/rPPPhMACPv27atyGaaeF4DQp0+fCq9v3759AgAhNDRU2LRpkxATEyOsWLFCePHFFwW1Wi3UrVu3zDJatGgh1KlTR5g0aVKZ571+/brwxhtvCA0aNBDUarUwceJEIS8vr8JYquqFF14QHBwchNmzZwurV68WevXqJTg4OAj/+c9/9PuUd5+MPd6Ue9W3b19h4MCBwqJFi4Q1a9YIM2bMEFxdXQV3d3chPj7eYN9H3av8/HyhdevWQt++fUt9FxwcLDRp0sRgW5cuXYT169cbxP3BBx/oP0+dOlU/oXWXLl2EgwcP6r/r3Lmz8OWXX+o/v/vuu0JERES5sUnBmJ+9IJR//4w53pT7IQji79jChQuFyZMnCwCE5557Tli4cKGwcOFCIT09vcLrGTZsmABAGD16tKDRaIRRo0YJAISJEydW/odkgqr+Lhhz7ZX5d6skTlBcvTCxI0mdPXtW6NGjh6BWq4U6deoI7733nqDT6YRXX31VcHBwEKKjo81W9tatW4WgoCDB09NTcHBwEOrUqSMEBQUJu3fvNtivvH8ke/ToITRo0KDMFR1MLcOU82ZlZQkAhJdeeqnC6/v4448FAPqXs7Oz4O3tLQQHBwsrVqwQMjMzyzy3SqUSfv/9d6FevXoVxqnVaoVffvlFcHZ2FjZv3lxhLFV1//59YdasWYKXl5egVquFrl27lkpKK/pjZszxptyrlStXCt26dRPq1q0rODg4CA0bNhReeeUV4a+//jLYz5h7tWLFCsHBwUG4ePFiqe/Cw8MFlUolZGVlCYIg/sxdXV31qwcIgiC0atVKOHXqlP5zcHCwsGPHDv2+aWlpgiCIKwc4OzsLSUlJ+n2HDh0qxMTElBubFIz52QtC+ffPmOONvR9FmjZtavC7UfKVkJBQ4fX8888/wrhx44Q6deoIarVa6NSpk0GybG5V/V0w5tor8+9WSUzsqhcmdkQy27Nnj6BSqcxSm3n06FHBw8NDX06dOnXK/eNYpGnTpsLatWslj0UJpL5Xf/zxh9CgQQP959zcXMHJyUm4f/++flvDhg2FP//8U/jjjz+Ehg0b6rdfuXLF4FhBEIRmzZoJZ8+elSQ2IqqeuKQYkcwOHTqEl156ySwzvJ87d07fJ2vgwIGYMmUKhg8fjpycHADiwJYTJ06goKAA2dnZWLx4MXJycgxG1VIxqe/V+fPn4efnp/986dIltGjRQj+PWVpaGjIyMtCiRYsy+9eVPDYrKwu3bt0qs58nEdkODp4gktnDE6NKqWRiBwALFizAiRMnMHHiRGzduhX//PMPXn75ZSQnJ8PNzQ1PPfUUjh8/zolJyyH1vXo4OSvrc7t27WBnZ4cLFy5UmNhdvHgRjz/+eKkRnkRkW1SCYMI06kRERERktdgUS0RERKQQTOyIiIiIFIKJHREREZFCMLEjIiIiUggmdkREREQKwcSOiIiISCGY2BEREREpBBM7IiIiIoVgYkdERESkEEzsiIiIiBSCiR0RERGRQjCxIyIiIlIIJnZERERECsHEjoiIiEghmNgRERERKQQTOyIiIiKFYGJHREREpBBM7IiIiIgUgokdERERkUIwsSMiIiJSCCZ2RERERArBxI6IiIhIIZjYERERESkEEzsiIiIihWBiR0RERKQQDnIHIDWdToekpCTUqlULKpVK7nCIiIiIqkQQBGRlZcHb2xt2dhXXySkusUtKSoKPj4/cYRARERFJ6saNG2jcuHGF+ygusatVqxYA8eLd3NxkjoaIqJrLyQG8vcX3SUlAjRryxkNkgzIzM+Hj46PPcSqiuMSuqPnVzc2NiR0RUVXZ2xe/d3NjYkckI2O6mHHwBBEREZFCMLEjIiIiUggmdkREREQKobg+dkRERCQ/nU6H/Px8ucOoFhwdHWFfsj9rFTCxIyIiIknl5+cjISEBOp1O7lCqjdq1a8PLy6vKc/AysSMiIiLJCIKA27dvw97eHj4+Po+cUNfWCYKA3NxcpKamAgAaNmxYpfMxsSMiIiLJFBYWIjc3F97e3nB1dZU7nGrBxcUFAJCamooGDRpUqVlWMWm0RqNB27Zt0bVrV7lDISIisllarRYA4OTkJHMk1UtRElxQUFCl8ygmsQsLC0N8fDxOnToldyhEREQ2j+u1m0aqn5diEjsiIiIiW8fEjoiIiEghmNgRERER/b85c+ZArVZj9OjRcodSKUzsiIiIiP5fREQEli9fjq1bt+Lq1atyh2MyTndSBb5z9pTadu2jQTJEQkRERFJwd3fHhAkTMH36dFy4cAGPPfaY3CGZhDV2RERERCUUFhbC1dUVFy9elDsUkzGxIyIiIiph7ty5yM7OrpaJHZtiZcJmXCIisgmCAOTmylO2qytg4vxwsbGxWLVqFQYNGlTpxO7gwYM4e/YsZs6cWanjq4KJncSYsBEREZWQmwvUrClP2dnZQI0aRu+u0+nw+uuvY8qUKejevTteeeUVFBQUwNHR0aRi+/Xrh379+pkarSTYFEtEREQE4LPPPkNaWho++OADdOjQAQUFBbhy5Yr++yFDhmD69Ono0aMHWrVqhZMnT2Lo0KFo2rQpvvjiC4P9Lly4gIEDB2L+/Pl44okn0Lx5c4s07Vpdjd2NGzcwZswYpKamwsHBAfPmzcMLL7wgd1hVUlYtnqXKYW0hERHJytVVrDmTq2wj3bp1C/PmzcPWrVtRo0YNtGzZEmq1GhcvXkSHDh0AABcuXMDQoUOxcuVKvPnmm5g9ezZ+/PFH3LlzByNHjsSbb74JALhy5Qpat26Nixcv4rnnnsPRo0cRFRWF3bt3o3379ma51CJWl9g5ODggKioK/v7+SE5ORkBAAAYOHIgaJlSlKg0TNiIiqrZUKpOaQ+Uybdo0hISEYNAg8e+rg4MD2rRpo69ly8rKgiAImDBhgsExtWrVQmpqKtzc3PT7OTs74/79+1CpVJg4cSIAoKCgALVr1zb7dVhdU2zDhg3h7+8PAPDy8oKHhwfu3bsnb1BERESkWD/++CMOHjyIlStXGmzv0KGDPrG7dOkSunbtqv/uwoUL6N69OwAY1OpdunQJ7dq1w8WLF0vt365dO3NfivSJ3eHDhzF48GB4e3tDpVJh165dpfbRaDTw9fWFs7MzunfvjpMnT5Z5rtjYWGi1Wvj4+EgdJhEREREA4Nlnn8U///wDLy8vg+0bN27E7t27AYiJWceOHfXf3bx5E40bN9Z/V7K5tigh9PPz0+9fch9zkrwpNicnB35+fnj11Vfx3HPPlfp+27ZtCA8Px6pVq9C9e3dERUUhODgYf/zxBxo0aKDf7969exg7dizWrl0rdYhWy1J98YiIiMg0Fy5cwNNPPw1AHA9QstLpwoULGDBggP59UFAQ9u/fr9+/sLAQ6enpqFevntnjVAmCIJjt5CoVvvvuOwwbNky/rXv37ujatSs+//xzAOLQYh8fH0ydOhVz5swBAOTl5aF///6YNGkSxowZY1KZmZmZcHd3R0ZGhr6921zkTMTK6mPHvnhEJLmcnOKpKkycOoJs04MHD5CQkIBmzZrB2dlZ7nCqjYp+bqbkNhYdPJGfn4/Y2FhERETot9nZ2SEoKAjHjx8HAAiCgHHjxqFfv35GJXV5eXnIy8vTf87MzJQ+cCskdVLJpJCIiKj6s2hil5aWBq1WC09PT4Ptnp6e+nlijh49im3btqFjx476/nmbNm0qt116yZIleP/9980at9KwyZeIiEiZrG66kyeffBI6nc7o/SMiIhAeHq7/nJmZycEWJTCJIyIish0WTew8PDxgb2+PlJQUg+0pKSmlRqIYS61WQ61WSxEePcSUpJDNtkRERPKz6Dx2Tk5OCAgIwIEDB/TbdDodDhw4gJ49e1bp3BqNBm3btjWYM4aIiIjIlkheY5ednY2rV6/qPyckJCAuLg5169ZFkyZNEB4ejtDQUHTp0gXdunVDVFQUcnJyMH78+CqVGxYWhrCwMP3IEZIfB2QQEdkuM066oUhS/bwkT+xOnz6Nvn376j8X9X8LDQ1FdHQ0Ro4ciTt37mD+/PlITk6Gv78/9u3bV2pABVUvxjbbMtkjIlI2e3t7AOJMGC4uLjJHU33k5uYCABwdHat0HskTu8DAwEdmnVOmTMGUKVMkLVej0UCj0UCr1Up6XiIiIjKeg4MDXF1dcefOHTg6OsLOzupWL7UqgiAgNzcXqampqF27tj4xriyrGxVbWWyKVZbyagBZu0dEZN1UKhUaNmyIhIQEJCYmyh1OtVG7du1KDyQtSTGJHREREVkHJycntGzZEvn5+XKHUi04OjpWuaauiGISOzbF2gb20SMiqh7s7Oy4pJgMFNPwHRYWhvj4eJw6dUruUIiIiIhkoZgaO6q+qro6hrHHs2aPiIiUjokd2Qw24xIRkdIppimWK08QERGRrVNMYsc+dkRERGTrFJPYEREREdk69rEjm2ZKvzsO0iCblJZW/P7OHaBGDfliIaJHYo0dERGVr1at4vczZgBc2J3Iqimmxo4TFJNUqjr9CpGiqNXF73fvBrZuBUaPli8eIqqQShCU9d+vorViMzIy4ObmZtaymACQsdg8S9VWTg5Qs2bx59q1gUuXAG9v2UIisjWm5DaKqbEjsmacQ48UoVMn4OxZYOJEYM8eQKWSOyIiegj72BERkXHWrBGbZvfuBb78Uu5oiKgMrLEjsiKs2SOr1qYNsHgxsG4d0LGj3NEQURnYx64K2MeO5MSEjyyiZB+77GzA2RnIzwdcXOSNi8iG2GQfO46KJWKNH1mAvb1hUpeZCZj5P9FEZDzF9LHjkmJERBak0wFLlwJNmwJ//CF3NET0/xRTY0dka9gVgGSlUgH79wPp6UBoKPD774AD/6QQyU0xNXZERGRBKpU4MtbdHThxAvj4Y7kjIiIwsSMiospq3Bj47DPx/YIFwLlzsoZDRGyKJbJJxjbjcuAFPdIrrwDffgvs2gWMHQucPGm4DBkRWRQTOyKFY188MiuVCli9Wuxjd/488MEH4lx3RCQLNsUSEVHVNGggJneOjuJaskQkG8XU2HEeOyIiGT33HHD1KtCkidyRENk0rjxRBWziIirG/ngK9fDKEzVqGHecVitOZkxEVWaTK08Qkby46gXpnT4NjBsnjpjt21fuaIhsCvvYERGRtNatAy5dAsaPB7Ky5I6GyKYwsSMiImktXQr4+gKJiUB4uNzRENkUNsUSkdmwedZG1aoFREeLzbDr1gHDhwMDB8odFZFNYGJHRBbFZM9G9OkDzJgBfPIJMHEicPEiULeu3FERKR6bYomIyDwWLwZatQJu3wamTpU7GiKbwBo7IpIdlzhTKBcXYONGoFcvIDkZuH9f3EZEZsPEjoiIzKdbN3G5sW7dADs2EhGZGxM7IiIyrx495I6AyGYoJrHjkmJEyldeky2baKuJ7Gxg9mwx0QsNlTsaIkVSTL14WFgY4uPjcerUKblDISKismzYAKxaBUybBty4IXc0RIqkmMSOiIis3OTJYm1dZibw6qtAWUuVX7wIDBgAnDlj+fiIFEAxTbFEZLs4qraacHAAYmIAf39g/36x9m7y5OLvDx4UkzqtFsjNBY4cAVQq2cIlqo5YY0dERJbz+OPARx+J72fNAv7+u/i7J58EWrQQ3x89Cmzdavn4iKo5JnZERGRZU6aIy43l5oqDKIoGvTk5AVFRxfvNni0OuCAio7EplohsBptsrYSdHbB+PdCxI3DlCvDXX0Dr1uJ3ISHAs88CP/4IJCUBS5aIK1gQkVFYY0dERJbn6wvs3CkOlihK6op88olYewcAy5YZNtcSUYWY2BERkTz69we8vEpvf+wx4K23xPf5+UB4uGXjIqrGVIJQ1njz6iszMxPu7u7IyMiAm5ubWcsytlmHiKo/m22ezckBatYU32dnAzVqmKecb78Frl8HZswQP2dlAa1aAbdvi5/37QOCg81TNpGVMyW3YY0dERHJ69gx4PnnxcESsbHitlq1gI8/Lt5n+nSx9o6IKsQauypgjR0RKb4mzxI1doIAvPgisGMH0K4dcPo04Owsbn/iCeD4cXG/5cvZLEs2iTV2RERUfahUwL//DTRoAFy6BERGFm//7LPiSYrffx9ISZEvTqJqwCoTu+HDh6NOnToYMWKE3KEQEZEleHgAa9eK75cuFScoBoCAAGDCBPF9Zibw7rvyxEdUTVhlU+xvv/2GrKwsxMTEYMeOHSYdy6ZYIrJG1bbJ1lKDJ4qMGycuO9aiBXDunFheaqq4YkVGhrjPiRNAt27mjYPIilT7ptjAwEDUqlVL7jCIiMjSVq4EfHzEuet27xa3NWgALFhQvM+0aYBOJ0t4RNZO8sTu8OHDGDx4MLy9vaFSqbBr165S+2g0Gvj6+sLZ2Rndu3fHyZMnpQ6DiIiqI3d3YONGYM8eYPTo4u1hYUCbNuL7EyeAr76SJz4iKyd5YpeTkwM/Pz9oNJoyv9+2bRvCw8MRGRmJM2fOwM/PD8HBwUhNTZU6FCIiqo4CA4GBAw23OTqKtXlF3nlH7HNHRAYkXys2JCQEISEh5X6/YsUKTJo0CePHjwcArFq1Cnv27MH69esxZ84ck8vLy8tDXl6e/nMmf9GJyAqV1Se32va7s6QbN8Slx2bMEFeqGD4c+O47IDkZWLTIcK47IpI+satIfn4+YmNjERERod9mZ2eHoKAgHC+ap8hES5Yswfvvvy9ViEREFsNk7xH++Qfw9wfu3QOaNweGDBHnsvvpJyAvD4iKAiZOFAdWEBEACw+eSEtLg1arhaenp8F2T09PJCcn6z8HBQXhhRdewE8//YTGjRtXmPRFREQgIyND/7px44bZ4iciIguqU6d4qpPXXgPS0oBmzcQVKgCgoKB4TVkiAmClo2L379+PO3fuIDc3Fzdv3kTPnj3L3VetVsPNzc3gRURECvHBB+JqFCkpwOTJ4moUc+YAjRuL3//0kzjQgogAWLgp1sPDA/b29kh5aObwlJQUeHl5VencGo0GGo0GWq22SuchIpKTsfNj2kyTrbOzOK9djx7ikmPbtgEvvSROYjxqlLjPjBlAUBCgVssaKpE1sGiNnZOTEwICAnDgwAH9Np1OhwMHDlRYK2eMsLAwxMfH49SpU1UNk4iIrElAADB3rvj+zTeB27eBkSOB3r3FbVevGo6YJbJhkid22dnZiIuLQ1xcHAAgISEBcXFxuH79OgAgPDwca9euRUxMDC5fvozJkycjJydHP0qWiIiolHffBTp3FgdULFworh/76aeA3f//GVu4EEhKkjdGIisgeWJ3+vRpdOrUCZ06dQIgJnKdOnXC/PnzAQAjR47EsmXLMH/+fPj7+yMuLg779u0rNaDCVBqNBm3btkXXrl2rfA1ERGRlHB3FiYvDw8WRsYA4Yvb118X32dli3zsiG2eVa8VWBdeKJSJbJnnfO0uvFWuqu3eBli3FmjwAOHYMqGLXHiJrU+3XiiUiIqqQVgts2SJOibJwYfH2qVO5jizZNMUkdmyKJSKyEYIADBoEvPwy8PnnYnNshw7id7GxwIYN8sZHJCPFJHYcFUtEZCNUKmDoUPH9O+8Af/8tDqQoEhEBpKfLEhqR3Cw6jx0REZmXzSxT9sYb4pqxv/4KhIYCv/8OvPACsH07cOeOOLHxihVyR0lkcRw8UQUcPEFE1ZXRyZ41D564cUNsgs3IAD78EBg9GmjTBrh/H3BwAM6dA9q2lTtKoirj4AkiIlI+H5/iJtjISDHBK5rypLAQmD5d7I9HZEMUk9hx8AQRkQ0aM0bsb1dQAEyaBMyaBTRtKn63fz+we7e88RFZmGISOw6eICKyQSoVsHq1uFbsunWAq2vxBMaAOKHxgwfyxUdkYRw8QURkgxQ1yMLTUxxEUeS554B+/YCDB4GEBDHRe+89+eIjsiDF1NgREREBEAdN/OtfgL29+PnDD4GbN+WNichCmNgREZFyrFwJdOkirkrx5pvittxc4O235Y2LyEIU0xSr0Wig0Wig1WrlDoWIqFoqs3l2XqDlA6mKli3F5caiooDvvxcTvLt3ga1bgcmTgd695Y6QyKwUU2PHwRNERISBA4GJE8VpTqZOBebNK/5u6lQx6SNSMMUkdkREJL028/YZvK8WE7MvXy5OeXLtGnDpEuDvL24/dw5Yu1bOyIjMjokdEREpi5sbEB0tvl+7FnjlleLv5s4F7t2TJSwiS2BiR0REyhMYKK48AYhrxo4YIb6/e1dcpYJIoZjYERGRMn34IdCpExARITbPurqK27/4ArhwQd7YiMxEMYkdlxQjIiIDrq7AqVPAlClAkybFkxTrdFxHlhRLMYkdR8USEVEpRZMUA8BrrxWvI3voELBzpzwxEZmRYuaxIyIiyyhvZKxVL0l28iQwahTg5QUkJorbZs4Up0cpaqIlUgDF1NgRERGVS60GbtwATpwA2rcXt12/Dnz8sbxxEUmMiR0RESmfnx+wYIH4PjGxuIn2X/8qrsEjUgAmdkREZBvefhvo1g3IygIaNxa3PXgAzJolb1xEEmIfOyIikkSZa81aU787BwcgJkacAiUxEahVS0zyduwQB1P07St3hERVppgaO053QkREj9S6NbBkifg+P794+7RpQGGhPDERSUgxiR2nOyEiIqNMmwb06QMEBYl97wDg4kVg1Sp54yKSgGISOyIiIqPY2QE//CC+SiZz8+YBaWnyxUUkASZ2RERke2rVAlQqoEcPYOxYcVt6OjB3rqxhEVUVEzsiIrJd//wD5OSItXgAsGYNcPasvDERVQETOyIisl25ucCBA+L6sYC4fuy0aVxHlqotJnZERGS7GjUCNBrDbb//Dnz9tTzxEFUR57EjIiKzsfq57QBxDdlvvwV27izeNns2MGQIUKOGfHERVQJr7IiIyLapVMC//w00aFC87dat4vnuiKoRJnZERET16wOrVxtuW7oU+PtveeIhqiQ2xRIRkUVZbfPssGHi1Cc7d4ojZfPzgZkzgV275I6MyGiKqbHjkmJERFRln34KXLoEeHmJn3fvBn75Rd6YiEygmMSOS4oREVGVubsDTZsCH39cvO3dd+WLh8hEiknsiIiIJDN6NODjI76PjQVu3pQ3HiIjMbEjIiJ6WH4+kJ1d/HnfPvliITIBEzsiIqKHubgYTnfy5ZfyxUJkAiZ2REREZZk4EXB2Ft+fOAHcvi1vPERGYGJHRERUFnt7YOhQ8b0gAC+/LG88REbgPHZERCQ7q53b7tlngW3bxPeHDonvR46UNyaiCrDGjoiIqDzBweKSY0UuX5YvFiIjMLEjIiIqT/36QJcuxZ8nTpQvFiIjMLEjIiKqyMCBxe857QlZOSZ2REREFQkJKX7/00/A33+LyV5ionwxEZWDiR0REVFFunQB6tUT3+/fD7zxBrB3L/Dqq4BOJ29sRA+xysTuxx9/RKtWrdCyZUusW7dO7nCIiMiW2duLgygAICsLGDcOcHUFDh4EvvhC1tCIHmZ1iV1hYSHCw8Nx8OBBnD17FkuXLsXdu3flDouIiGxZyebY8+eBjz8W37/9NvDXX/LERFQGq0vsTp48iXbt2qFRo0aoWbMmQkJC8Msvv8gdFhER2bKS057s3QtMngw8/TRw/z4QGgpotfLGR/T/JE/sDh8+jMGDB8Pb2xsqlQq7du0qtY9Go4Gvry+cnZ3RvXt3nDx5Uv9dUlISGjVqpP/cqFEj3Lp1S+owiYjIyvnO2VPqJZuS055cuAAkJQHr1wNubsDx48CyZfLFRlSC5IldTk4O/Pz8oNFoyvx+27ZtCA8PR2RkJM6cOQM/Pz8EBwcjNTVV6lCIiIik8/C0J02aACtXip+//Za1dmQVJE/sQkJCsGjRIgwfPrzM71esWIFJkyZh/PjxaNu2LVatWgVXV1esX78eAODt7W1QQ3fr1i14e3uXW15eXh4yMzMNXkRERJJ7eNoTQGyGjYkBjhwRB1kQycyifezy8/MRGxuLoKCg4gDs7BAUFITjx48DALp164aLFy/i1q1byM7Oxt69exFcNBqpDEuWLIG7u7v+5ePjY/brICIiG/TwtCf5+WK/u7FjAScneWMj+n8WTezS0tKg1Wrh6elpsN3T0xPJyckAAAcHByxfvhx9+/aFv78/Zs6ciXpFv0hliIiIQEZGhv5148YNs14DERHZqIenPTl2zPD7ggJgwQLg1CmLh0ZUxEHuAMoyZMgQDBkyxKh91Wo11Gq1mSMiIiKC2By7ZYv4fu9eIDCw+LsFC4APPwS++QaIjQVcXOSIkGycRWvsPDw8YG9vj5SUFIPtKSkp8PLyqtK5NRoN2rZti65du1bpPEREROV6eNqTksLDAS8v4PJlYO5cy8dGBAsndk5OTggICMCBAwf023Q6HQ4cOICePXtW6dxhYWGIj4/HKVaBExGRuTw87cnNm8Xf1asHFK2W9MknwOHDlo+PbJ7kiV12djbi4uIQFxcHAEhISEBcXByuX78OAAgPD8fatWsRExODy5cvY/LkycjJycH48eOlDoWIiEh6D097UtKgQcCECYAgiEuPZWdbNDQiyfvYnT59Gn379tV/Dg8PBwCEhoYiOjoaI0eOxJ07dzB//nwkJyfD398f+/btKzWgwlQajQYajQZaziNERKRYZU1SfO2jQZYNIiQEeP998f1PPwETJxp+v2IF8OuvQEICMGsWsGqVZeMjm6YSBEGQOwgpZWZmwt3dHRkZGXBzczNrWbLOgk5EZAEu+Q9w+ZMRAIA2b+3AfSdnmSMqzeKJnVYLeHoCd+8CtWoBaWmlpzs5dAjo1w9wdQX+/BMosaISkalMyW2sbq1YIiIiq/aoaU8AoG9f4LPPgLNnmdSRRTGxIyIiMlXJVSgeHh1bZMoU4PHHLRMP0f9TTGLH6U6IiMhiKpr2pCy//w78/LN5YyKCghI7TndCREQWU9G0Jw/buxd46ilgzBggNdUy8ZHNssqVJ4iIiIxV3kA2sw+qGDiwePmwfftKj44t0q8f0L69mABOngzs2FFc20ckMcXU2BEREVmUMf3sAECtBjZuBBwcgG+/LV6SjMgMFJPYsY8dERFZVJcu4moTgDhvXX5++fv6+wORkeL7KVOAW7fMHh7ZJsUkduxjR0REFmXMtCclzZkDdO0KpKeLzbbKmkaWrIRiEjsiIiKLM7Y5FhCbYmNixKbZffuMG01LZCImdkRERJVl6rQnbdoAn3wCrF9vmBQSSYSjYomIiCqraNqTU6eKpz1p3LjiYyZPtkxsZJMUU2PHwRNERCSLgQOL3+/bZ9qx//xj+jFEFVBMYsfBE0REJAtT+tmVdOMG0KEDMGwYcPmy5GGRbVJMYkdERCQLU6Y9KalxY3Hi4rw8IDQUKCw0X4xkM5jYERERVYWp054UUamAL78EatcW++j9619mC5FsBxM7IiKiqqpsc2yjRsBnn4nv338fiIuTNCyyPUzsiIiIqsrUaU9KevllYPhwoKAAGDtWbJolqiTFTHei0Wig0Wig1WrlDoWIiKyA75w9pbZd+2iQeQqrzLQnRVQqYNUq4PffxWM//hiYN888cZLiKabGjqNiiYhIVlWZ9qRBA2D1amDkSODNN6WNi2yKYhI7IiIiWVW2n12R4cOBr78uHmFLVAlM7IiIiKRQ2WlPyiIIwOnT0sRFNoWJHRERkRQqO+3JwwoLgREjgK5dgUOHpIuPbAITOyIiIqlUtTkWABwcxMEYADB+PJCZWfW4yGYwsSMiIpJKVaY9KWnZMqBZMyAxEQgPlyY2sglM7IiIiKRSNO0JUDztSWXUrAlERxevTrGn9NQtRGVRTGKn0WjQtm1bdO3aVe5QiIjIllVl2pOSnnoKeOst8f3EicDdu1WLi2yCYhI7zmNHRERWQYp+dkUWLwbatAGSk4GpU6t2LrIJiknsiIiIrIKU0544OwMxMcBjjwGvvSZNfKRoTOyIiIikJNW0J0W6dgUuXwYCA6scGimfYtaKJSIiqgyzrCkbEgJs2SK+37u36kmZQ4k/10lJQMOGxaNviUpgYkdERDajrCTOLIqmPREEMbH717+kOe+XXwLTpwOffw6MGyfNOUlRmNgRERE9pMq1eEXTnpw6VTztSePGVQ8sLQ3IyRGTu379gCZNqn5OUhT2sSMiIjIHqaY9KWnWLKBHD3E1igkTAJ1OmvOSYjCxIyIiMgcppz0pYm8vjpJ1cQH27wdWrZLmvKQYTOyIiIjM4eFpTwoKpDnv448X99mbPRu4elWa85IiKCax48oTRERkVR6e9uToUenOHRYm9rHLzQVCQwGtVrpzU7WmmMSOK08QEZHVMUdzLADY2QHr1wN16gB9+7KvHekpJrEjIiKyOkXTngDSJnYA0LQp8L//AYsWAY6O0p6bqi0mdkREROZSNO0JUDztiZRq1y5+X1AgXT8+qraY2BEREZmTOaY9edilS+I0KIsXm+f8VG0wsSMiIjInc/WzK+niReDMGbFZNjbWPGVQtcDEjoiIyJzMNe1JSSNHAi++KI6OHTsWePBA+jKoWmBiR0REZE7mnPakJI0G8PQE4uOBefPMUwZZPSZ2RERE5maJ5lgPD2DtWvH98uXA77+bpxyyakzsiIiIzM2c056UNHgwMH48IAjixMXZ2eYri6wSEzsiIiJzM/e0JyV98gnQpIlYZnq6+cohq8TEjoiIyBIsMe0JALi7A4cOiU2xjRubrxyySkzsiIiILMES/eyKNG8OODgUfxYE85ZHVsMqE7vhw4ejTp06GDFihNyhEBERScMS05487MEDYPZsYMIE85dFVsEqE7vp06dj48aNcodBREQkHUtNe1LS+fPAihXAhg3Arl3mL49kZ5WJXWBgIGrVqiV3GERERNKyZHMsAHTrJtbYAcDrrwN37pi/TJKVyYnd4cOHMXjwYHh7e0OlUmFXGf8D0Gg08PX1hbOzM7p3746TJ09KESsREVH1ZqlpT0p6/32gXTsgNRWYPJn97RTO5MQuJycHfn5+0Gg0ZX6/bds2hIeHIzIyEmfOnIGfnx+Cg4ORmpqq38ff3x/t27cv9UpKSqr8lRAREVk7S057UkStBjZuFAdT7NwJfP21+csk2Tg8ehdDISEhCClZlfyQFStWYNKkSRg/fjwAYNWqVdizZw/Wr1+POXPmAADi4uIqF20Z8vLykJeXp/+cmZkp2bmJiIgkN3AgcOqU+H7fPmDiRPOX2bmzuMxYZCQQFgb06QN4e5u/XLI4SfvY5efnIzY2FkFBQcUF2NkhKCgIx48fl7IovSVLlsDd3V3/8vHxMUs5REREkrB0P7siERFibWFhIXDxouXKJYsyucauImlpadBqtfD09DTY7unpiStXrhh9nqCgIJw7dw45OTlo3Lgxtm/fjp49e5a5b0REBMLDw/WfMzMzmdwREZHkfOfsKbXt2keDTD9R0bQnd+8WT3vi6ChBhI/g6Ahs2QI4OQFNm5q/PJKFpImdVPbv32/0vmq1Gmq12ozREBERSaho2pMtW4D798Xas06dLFN2y5aWKYdkI2lTrIeHB+zt7ZGSkmKwPSUlBV5eXlIWVYpGo0Hbtm3RtWtXs5ZDRERUZVOnAt9+K9baWSqpe9gvvwCvvALodPKUT2YhaWLn5OSEgIAAHDhwQL9Np9PhwIED5TalSiUsLAzx8fE4VdQhlYiIyFr16AEMHw64uclT/r17wPPPA5s3A599Jk8M5qTTAbm5ckchC5MTu+zsbMTFxelHtiYkJCAuLg7Xr18HAISHh2Pt2rWIiYnB5cuXMXnyZOTk5OhHyRIREZHM6tYFli4V38+ZA/zxh7zxSEmrFZdQGzTIJpM7k/vYnT59Gn379tV/Lhq4EBoaiujoaIwcORJ37tzB/PnzkZycDH9/f+zbt6/UgAqpaTQaaDQaaLVas5ZDRESkCK+/Dnz3ndgkGxoK/P67ONdddRcWBkRHi++few7YvVucy89GqARBWVNQZ2Zmwt3dHRkZGXAzcxV3WSOkiIiUxCX/AS5/MgIA0OatHbjv5CxzRNalUqNircnNm0D79kBGBrB4MfDuu3JHVHUnTwJBQeJ6vAAwdCiwfbtlRh6biSm5jVWuFUtEREQW0LhxcR+7BQuAc+dkDUcS3boBP/0EuLqKn3fvBsaMEZtobQATOyIiIlv2yivAsGHifHo7dsgdjTSefBL4/vviJtht28R+dzYwAlgxiR2nOyEiIqoElQpYvRr45htg4UK5o5HO00+LU8oUNcHGxIj975TVA60U9rGrAvaxIyKlYx+7yqn2fe+UZOdOYOTI4qbYt94Cli8XE9pqgn3siIiIqHJSU4Hp05UzVcjzzwMbNxYncp98AsybJ29MZqSAcc1EREQkCUEQlzuLiwPs7MQkSAlGjwYePBD72QHiCGAXF+C99+SNywwUU2PHPnZERERVpFIBH34ovo+KAn77Tc5opPXqq4arbMydq5zEtQTFJHZcUoyIiEgCISHAa6+J78ePL54PTgmmTAE+/rj4c3g4sGqVfPGYgWISOyIiIpLIsmWAry9w7Rowc6bc0Uhr9mzg/feLP0+eLI6YVQgmdkRERGSoVi1xWS6VCli7Fti7V+6IpDVvHvDOO8WfX31VnOtOAZjYERERUWl9+gAzZojvFy5U1vxvKhWwZAkwbZr4WacDXn5ZXKWimlNMYsfBE0RERBIrWj92375qNe+bUVQqcYDIpEniZ60WePFF8VqrMcUkdhw8QUREJDEXFzG5M/OE/7JRqYB//1tcVg0A8vOB4cOr9WhgxSR2REREZEaCAKxbB6SkyB2JtOztgQ0bgBHiCit48AB49lng+HF546okJnZERET0aG+9JTZbvvaasvrbAYCDA7B5s5jQAUBODvDMM0BsrLxxVQITOyIiInq0V18FHB2B778HNm2SOxrpOTkB27cDQUHi58xMYMAA4MIFeeMyERM7IiIierSOHYvnf5s6FbhxQ954zMHZGdi1C+jdW/x8756Y6P3xh6xhmUIxiR1HxRIREZnZ7NlAjx5ibdarryqvSRYAatQA9uwBuncXP6emAk8/Dfzvf/LGZSTFJHYcFUtERGRmDg7iKg0uLsD+/YpbjkuvVi1xUmZ/f/HzrVvA4MHilChWTjGJHREREVnA448DH30kvp8zB8jIkDcec6lTB/jlF6BtW6BmTXFaFHt7uaN6JAe5AyAiIqJqZsoUcVDBxImAu7vc0ZhP/fpizeTNm0A16erFxI6IiIhMY2cnriFrCxo2FF/VBJtiiYiIqGri46vVyFElY2JHRERElbdrF9C5M/Dyy0BBgdzR2DwmdkRERFR53boBrq7iKg1Llsgdjc1TTGLHeeyIiIhk4O0NaDTi+4ULq+UyXEqimMSO89gRERHJ5KWXgBEjgMJCIDQUePBA7ohslmISOyIiIpKJSiXO89agAXDpEhAZKXdENouJHREREVWdh0fxFChLl7JJViacx46IiIikMWQI8NprgK8v4OcndzQ2iYkdERERSWfVKrFplmTBplgiIiKSTsmk7sED4PJl+WKxQUzsiIiISHp//w0EBAADBgAZGXJHYzOY2BEREZH0vLyAvDzg5k1gxgy5o7EZ7GNHREQkMd85e0ptu/bRIBkikVGNGkBMDNC7NxAdDQwfLg6uILNijR0RERGZxxNPALNmie9few1IS5M3HhugmMSOS4oRERFZoQ8+ANq2BVJSgLAwuaNRPMUkdlxSjIiIyAo5OwMbNwL29sA33wDbtskdkaKxjx0REZFMbKYvXkAAMHcucPgw0KOH3NEoGhM7IiIiMr+5cwE7O/FFZsOfLhEREZmfg4NhUpeSIl8sCsYaOyIiIrKcBw+A8HBg82bg3DlxXdkqspkmbSOwxo6IiIgsx9EROH8eyMwEXn0V0OnkjkhRmNgRERGR5djbixMWu7oChw4BGo3cESkKEzsiIiKyrMceA5YtE9+/8w7w55/yxqMg7GNHRERElvfGG8B33wG//gqEhgJHjogDLMxM6f3xWGNHRERElqdSAV9+Cbi5Af/9L7B0qdwRKQITOyIiIpKHjw/w6adA3bpi8yxVmdUldjdu3EBgYCDatm2Ljh07Yvv27XKHREREROYydqzYx+6FF+SORBGsro+dg4MDoqKi4O/vj+TkZAQEBGDgwIGoUaOG3KERERGR1FQqoF694s95eYBaLV881ZzV1dg1bNgQ/v7+AAAvLy94eHjg3r178gZFRERE5rdrF9C8OXDypNyRVFsmJ3aHDx/G4MGD4e3tDZVKhV27dpXaR6PRwNfXF87OzujevTtOVvIGxcbGQqvVwsfHp1LHExERUTXyzTdAUpI4Svb+fbmjqZZMTuxycnLg5+cHTTkTCm7btg3h4eGIjIzEmTNn4Ofnh+DgYKSmpur38ff3R/v27Uu9kpKS9Pvcu3cPY8eOxZo1aypxWURERFTtfP450LAhcOUKMHeu3NFUSyb3sQsJCUFISEi5369YsQKTJk3C+PHjAQCrVq3Cnj17sH79esyZMwcAEBcXV2EZeXl5GDZsGObMmYNevXo9ct+8vDz958zMTCOvhIiIiKxK3brAunXAoEHAJ58AQ4YAffrIHVW1Imkfu/z8fMTGxiIoKKi4ADs7BAUF4fjx40adQxAEjBs3Dv369cOYMWMeuf+SJUvg7u6uf7HZloiIqBobOBCYOBEQBGD8eCArS+6IqhVJE7u0tDRotVp4enoabPf09ERycrJR5zh69Ci2bduGXbt2wd/fH/7+/rhw4UK5+0dERCAjI0P/unHjRpWugYiIiGS2fDnQtCmQkADMni13NNWK1U138uSTT0Kn0xm9v1qthprDoomIiJTDzQ2Ijgb69QMKCwGdDrCzuok8rJKkiZ2Hhwfs7e2RkpJisD0lJQVeXl5SFlWKRqOBRqOBVqs1azlERERkAYGBwMWLQNu2ckdSrUia2Dk5OSEgIAAHDhzAsGHDAAA6nQ4HDhzAlClTpCyqlLCwMISFhSEzMxPu7u5mLYuIiIgsoGRSJwjiZMZm4DtnT6lt1z4aZJayzM3kes3s7GzExcXpR7YmJCQgLi4O169fBwCEh4dj7dq1iImJweXLlzF58mTk5OToR8kSERERmeTmTSAkBNi5U+5IrJ7JNXanT59G37599Z/Dw8MBAKGhoYiOjsbIkSNx584dzJ8/H8nJyfD398e+fftKDaiQGptiiYiIFGrdOuDnn4HYWKB3b6BBA7kjslomJ3aBgYEQBKHCfaZMmWL2pteHsSmWiIhIoSIigO++A86fB15/Hfj2W7M1y1Z3HGJCRERE1k2tBjZuBBwdxfVkN2+WOyKrxcSOiIiIrJ+fHxAZKb6fMkXsd0elKCax02g0aNu2Lbp27Sp3KERERGQO77wDdOsGZGQAEyaII2XJgGISu7CwMMTHx+PUqVNyh0JERETm4OAAxMQAzs7AtWvAQ/PmkhWuPEFERERUrtatgb17xZo7V1e5o7E6TOyIiIioegkMlDsCq6WYplj2sSMiIrIxWi2wfDlCY3+QOxKroZjEjn3siIiIbMzu3cCsWXj30Hq0SLshdzRWQTGJHREREdmY4cOBZ56BWluAFXtWwEFbKHdEsmNiR0RERNWTSgWsW4cMdQ34Jf+Fyf/dLndEsmNiR0RERNVXo0aYN2AyAGDasa/RLuVvmQOSl2ISOw6eICIisk3ft+mDnx7vBUedFst/XAGnwgK5Q5KNYhI7Dp4gIiKyUSoV5gaH4Y5rbTS/dwsBty7LHZFsOI8dERERVXv3XN0xffAs/OPqhssNmssdjmyY2BEREZEiHPP1lzsE2SmmKZaIiIhI78wZYNkyuaOwONbYERERkaI0zkgBegwHCgqAzp2Bfv3kDsliFFNjx1GxREREBAA33T2BCRPED+PHAxkZ8gZkQYpJ7DgqloiIiPSWLgWaNweuXwfCw+WOxmLYFEtERETKU7MmEB0N9OkDrF8vLj/27LNVOqXvnD2ltl37aFCVzik1xdTYERERERno3bu4tm7SJODuXXnjsQAmdkRERKRcixYBbdoAycnAv/8tdzRmx8SOiIiIlMvZGdi4EVi5Enj3XbmjMTv2sSMiIiJl69JFfNkA1tgRERGRzXDNv49Xzv4ECILcoZiFYmrsNBoNNBoNtFqt3KEQERGRNSoowK6NM/H43evIs3fE9o795Y5IcoqpseM8dkRERFQhR0fs7CCuQjH/wBo0ykiVOSDpKSaxIyIiInqUtV2H43SjNqiVfx8f742CStDJHZKkmNgRERGRzdDZ2WPmoLeQ66jGE4nnMeZM6UmHqzMmdkRERGRTEut4Y0ngeABAxG/R8L13S+aIpMPEjoiIiGzOV50G4vemfnApzMO8g+vkDkcyTOyIiIjI5ggqO7w9cDp+aN0bc56ZKnc4klHMdCdEREREpkhya4CpQ9+ROwxJscaOiIiICEDvhDNw1BbIHUaVMLEjIiIimzfvwFps+mY+phz7Ru5QqoSJHREREdm8M96tAQBhx7ehw+2/ZI6m8hST2Gk0GrRt2xZdu3aVOxQiIiKqZva06Y3v2zwFB0GHFXtWAPfvyx1SpSgmseOSYkRERFQV8/u/gdQaddDy7g1g3jy5w6kUxSR2RERERFWR7uKGd0KmiR9WrACOHJE3oEpgYkdERET0/w616IqvOw4ABAEYNw7Iy5M7JJMwsSMiIiIqYVG/iUCPHsDKlYBaLXc4JuEExUREREQlZKtdgWPHAJVK7lBMxsSOiIiI6GElk7pbt4AaNeSLxQRsiiUiIiIqz/ffA+3bA9OmyR2JUZjYEREREZWnfn0gMxPYtAnBfx6TO5pHYmJHREREVJ6ePYG33wYALP5Zg7q5GTIHVDEmdkREREQVWbAAaN8eHrkZWPyzRpwKxUoxsSMiIiKqiFoNbNyIAjt7hPx5DEPjf5M7onJZXWKXnp6OLl26wN/fH+3bt8fatWvlDomIiIhsXadOWPnEKADAB7+ugmdWmswBlc3qpjupVasWDh8+DFdXV+Tk5KB9+/Z47rnnUK9ePblDIyIiIhv27x4vIOjqSZz1boUM55pyh1Mmq0vs7O3t4erqCgDIy8uDIAgQrLgtm4iIiGyD1s4eL47+F/IdHOUOpVwmN8UePnwYgwcPhre3N1QqFXbt2lVqH41GA19fXzg7O6N79+44efKkSWWkp6fDz88PjRs3xuzZs+Hh4WFqmERERESSK5nU2em0wL17MkZTmsmJXU5ODvz8/KDRaMr8ftu2bQgPD0dkZCTOnDkDPz8/BAcHIzU1Vb9PUf+5h19JSUkAgNq1a+PcuXNISEjAli1bkJKSUsnLIyIiIpJe44wUbN36LjB8OKDTyR2OnslNsSEhIQgJCSn3+xUrVmDSpEkYP348AGDVqlXYs2cP1q9fjzlz5gAA4uLijCrL09MTfn5+OHLkCEaMGGFqqERERERmoRIENE2/DYSGW9WaspKOis3Pz0dsbCyCgoKKC7CzQ1BQEI4fP27UOVJSUpCVlQUAyMjIwOHDh9GqVaty98/Ly0NmZqbBi4iIiMicbtT2wlOvfwm8+qpyE7u0tDRotVp4enoabPf09ERycrJR50hMTETv3r3h5+eH3r17Y+rUqejQoUO5+y9ZsgTu7u76l4+PT5WugYiIiMgY1jiIwupGxXbr1s3oploAiIiIQHh4uP5zZmYmkzsiIiKySZImdh4eHrC3ty812CElJQVeXl5SFqWnVquhVquh0Wig0Wig1WrNUg4RERGRtZO0KdbJyQkBAQE4cOCAfptOp8OBAwfQs2dPKYsqJSwsDPHx8Th16pRZyyEiIiKyVibX2GVnZ+Pq1av6zwkJCYiLi0PdunXRpEkThIeHIzQ0FF26dEG3bt0QFRWFnJwc/ShZIiIiIjIPkxO706dPo2/fvvrPRf3bQkNDER0djZEjR+LOnTuYP38+kpOT4e/vj3379pUaUEFERERE0jI5sQsMDHzkEl9TpkzBlClTKh1UZbCPHREREdk6SfvYyYl97IiIiMjWKSaxIyIiIrJ1iknsNBoN2rZti65du8odChEREZEsFJPYsSmWiIiIbJ1iEjsiIiIiW8fEjoiIiEghFJPYsY8dERER2TpJ14qVU1hYGMLCwpCRkYHatWsjMzPT7GXq8nLNXgYRkZy0+Q9Q9K+pNi8XOkEnazzVWVl/l8r6O2KJv19KY8rP0di/3dZ0v4rKeNQ8wgCgEozZqxq5efMmfHx85A6DiIiISFI3btxA48aNK9xHcYmdTqdDUlISatWqBZVKVe5+Xbt2rfQI2soca8oxxuz7qH3K+z4zMxM+Pj64ceMG3NzcjIrH2lTl3sldVlXPZ+rxfO6kY8nnTury+NzxuZOrPEv+rbWW5w6Q/tkTBAFZWVnw9vaGnV3FvegU0xRbxM7O7pHZLADY29tX+oddmWNNOcaYfR+1z6O+d3Nzq7b/0FXl3sldVlXPZ+rxfO6kY8nnTury+NzxuZOrPEv+rbW25w6Q9tlzd3c3aj/FDJ4wVVhYmEWPNeUYY/Z91D5VuT5rZ8lrk7qsqp7P1OP53EnH0tcmZXl87qqv6vzcVfV8fO4qR3FNsVSxzMxMuLu7IyMjo9r+D5aqHz53JAc+dyQXOZ89m62xs1VqtRqRkZFQq9Vyh0I2hM8dyYHPHclFzmePNXZERERECsEaOyIiIiKFYGJHREREpBBM7IiIiIgUgokdERERkUIwsaMypaeno0uXLvD390f79u2xdu1auUMiG3Hjxg0EBgaibdu26NixI7Zv3y53SGQjhg8fjjp16mDEiBFyh0IK9uOPP6JVq1Zo2bIl1q1bJ/n5OSqWyqTVapGXlwdXV1fk5OSgffv2OH36NOrVqyd3aKRwt2/fRkpKCvz9/ZGcnIyAgAD8+eefqFGjhtyhkcL99ttvyMrKQkxMDHbs2CF3OKRAhYWFaNu2LQ4dOgR3d3cEBATg2LFjkv5tZY0dlcne3h6urq4AgLy8PAiCAP4fgCyhYcOG8Pf3BwB4eXnBw8MD9+7dkzcosgmBgYGoVauW3GGQgp08eRLt2rVDo0aNULNmTYSEhOCXX36RtAwmdtXU4cOHMXjwYHh7e0OlUmHXrl2l9tFoNPD19YWzszO6d++OkydPmlRGeno6/Pz80LhxY8yePRseHh4SRU/VmSWevSKxsbHQarXw8fGpYtRU3VnyuSMqT1Wfw6SkJDRq1Ej/uVGjRrh165akMTKxq6ZycnLg5+cHjUZT5vfbtm1DeHg4IiMjcebMGfj5+SE4OBipqan6fYr6zz38SkpKAgDUrl0b586dQ0JCArZs2YKUlBSLXBtZN0s8ewBw7949jB07FmvWrDH7NZH1s9RzR1QRKZ5DsxOo2gMgfPfddwbbunXrJoSFhek/a7VawdvbW1iyZEmlypg8ebKwffv2qoRJCmSuZ+/BgwdC7969hY0bN0oVKimIOf/NO3TokPD8889LESYpXGWew6NHjwrDhg3Tfz99+nRh8+bNksbFGjsFys/PR2xsLIKCgvTb7OzsEBQUhOPHjxt1jpSUFGRlZQEAMjIycPjwYbRq1cos8ZJySPHsCYKAcePGoV+/fhgzZoy5QiUFkeK5I6oqY57Dbt264eLFi7h16xays7Oxd+9eBAcHSxqHg6RnI6uQlpYGrVYLT09Pg+2enp64cuWKUedITEzEa6+9ph80MXXqVHTo0MEc4ZKCSPHsHT16FNu2bUPHjh31/Vc2bdrE54/KJcVzBwBBQUE4d+4ccnJy0LhxY2zfvh09e/aUOlxSKGOeQwcHByxfvhx9+/aFTqfD22+/LflsE0zsqEzdunVDXFyc3GGQDXryySeh0+nkDoNs0P79++UOgWzAkCFDMGTIELOdn02xCuTh4QF7e/tSgx1SUlLg5eUlU1RkC/jskRz43JE1sJbnkImdAjk5OSEgIAAHDhzQb9PpdDhw4ACbFcis+OyRHPjckTWwlueQTbHVVHZ2Nq5evar/nJCQgLi4ONStWxdNmjRBeHg4QkND0aVLF3Tr1g1RUVHIycnB+PHjZYyalIDPHsmBzx1Zg2rxHEo6xpYs5tChQwKAUq/Q0FD9Pp999pnQpEkTwcnJSejWrZvw3//+V76ASTH47JEc+NyRNagOzyHXiiUiIiJSCPaxIyIiIlIIJnZERERECsHEjoiIiEghmNgRERERKQQTOyIiIiKFYGJHREREpBBM7IiIiIgUgokdERERkUIwsSMiIiJSCCZ2RERERArBxI6IiIhIIZjYERERESkEEzsiIiIihfg/ewys1fx/ocAAAAAASUVORK5CYII=\n" 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AADVy+Yjdl19+qZYtWyo6OlojR47U4cOHJUlZWVkqKytTQkKCo29MTIxat26tbdu2ua9iAAAAVMulYBcXF6fly5crIyNDixcv1sGDB9WnTx8VFhYqJydHPj4+Cg0NddomPDxcOTk5Ne6zpKREBQUFTgsAAEB9mj59uux2u0aMGNHYpbiVS6diBwwY4Pi5W7duiouLU5s2bfTGG2847uhw1dy5c/Wb3/ymVtsCAADURmpqqlq1aqXJkydr9uzZuummmxq7JLeo0yvFQkND1aFDB3311VeKiIhQaWlplYcU5ubmVntNXqXU1FTl5+c7liNHjtSlJAAAgCsKCQnR2LFj5eHhoT179jR2OW5Tp2B39uxZff3114qMjFRsbKy8vb2VmZnpWJ+dna3Dhw8rPj6+xn3Y7XYFBwc7LQAAAPXtwoUL8vf31969exu7FLdx6VTsL37xCw0cOFBt2rTRsWPHNGvWLHl6eurhhx92JN+pU6eqadOmCg4O1uTJkxUfH88dsQAA4Jrz9NNP6+zZszdusPvuu+/08MMP6+TJk2rRooV69+6t7du3q0WLFpKk+fPny8PDQ0lJSSopKVH//v21aNGieikcAABcQyxLOneuccb295dcfA5cVlaWlixZosTERLcHu02bNunTTz/V//7v/7p1v1fDZlmW1eCjXkZBQYFCQkKUn5/fIKdl205fX6Xt27TE+hmsqEgKDPzh57NnpYCA+hkHAIB6VlxcrIMHD6pdu3by9fV1/jeuobn4b2pFRYV69Oihvn37Ki4uTo888oiKiork7e1dj0VeXpXf50VcyUZ1usYOAADgevPyyy/rxIkTmj17trp27aqysjIdOHDAsb5Xr17asWOHJGns2LGaP3++JGnQoEGaMmWKevbsqY4dO2rnzp0aPHiw2rRp43SGctCgQdqzZ4/uv/9+zZw5U7169VJ0dHSDnPIl2AEAgLrz9//hyFljLC68r/bo0aOaMWOGFi5cqICAAN18882y2+1OoWvGjBlKS0vTCy+8IA8PD6WkpEiS9uzZo27dumn79u2655579Mtf/lIrV67UBx98oGXLljm2P3DggGJiYrR37161bt1aW7du1c9//nO988477vt918DlV4oBAABUYbNdF5cY/fznP9eAAQOUmPjDZVdeXl7q1KmTU7D7n//5Hz311FNav369MjIyJEmFhYWyLEtjx4512ldQUJDy8vIcp0gLCwvl6+ur8+fPy2az6bHHHpMklZWVVXmJQ33giB0AALghvPvuu9q0aZNefPFFp/auXbs6Bbtdu3bp1KlTCgkJcVx398UXX+j222939NmzZ4/i4uIkSXv37lXXrl0d/Tp37qy9e/dW6d+5c+d6+26VOGIHAABuCD/+8Y91+vTpKu2vv/664+ejR4/qscce06ZNm5SUlKS9e/eqS5cujtOwlb777ju1atVK0g+hrTLYVf68d+9e3XrrrY7+F/epTxyxAwAAkHT+/Hn95Cc/0csvv6x27dopNTVVc+bMkSSnYHfkyBFFRUU5trs02HXp0kV79+519L9w4YLOnDmjZs2a1ft34HEnPO4EAACXXe7xHHAdjzsBAACAE4IdAACAIQh2AAAAhiDYAQAAGIJgBwAAYAiCHQAAqLVr7OEa1y13/R4JdgAAwGWVb2Q4d+5cI1dihsrfY+XvtbZ48wQAAHCZp6enQkNDlZeXJ0ny9/eXzWZr5KquP5Zl6dy5c8rLy1NoaKg8PT3rtD+CHQAAqJWIiAhJcoQ71F5oaKjj91kXBDsAAFArNptNkZGRCgsLU1lZWWOXc93y9vau85G6SgQ7AABQJ56enm4LJqgbbp4AAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwRJ2CXVpammw2m5588klHW3FxsZKTk9WsWTMFBgYqKSlJubm5da0TAAAAV1DrYLdr1y794Q9/ULdu3ZzaU1JStG7dOqWnp2vLli06duyYhg4dWudCAQAAcHm1CnZnz57VyJEj9corr6hJkyaO9vz8fC1dulQvvPCC+vXrp9jYWC1btkz/+te/tH37drcVDQAAgKpqFeySk5OVmJiohIQEp/asrCyVlZU5tcfExKh169batm1b3SoFAADAZXm5usGaNWv0ySefaNeuXVXW5eTkyMfHR6GhoU7t4eHhysnJqXZ/JSUlKikpcXwuKChwtSQAAADIxSN2R44c0ZQpU7Rq1Sr5+vq6pYC5c+cqJCTEsURFRbllvwAAADcal4JdVlaW8vLy9N///d/y8vKSl5eXtmzZopdeekleXl4KDw9XaWmpzpw547Rdbm6uIiIiqt1namqq8vPzHcuRI0dq/WUAAABuZC6dir3nnnu0Z88ep7ZHH31UMTExmjZtmqKiouTt7a3MzEwlJSVJkrKzs3X48GHFx8dXu0+73S673V7L8gEAAFDJpWAXFBSkLl26OLUFBASoWbNmjvaxY8dq6tSpatq0qYKDgzV58mTFx8erZ8+e7qsaAAAAVbh888SVzJ8/Xx4eHkpKSlJJSYn69++vRYsWuXsYAAAAXKLOwW7z5s1On319fbVw4UItXLiwrrsGAACAC3hXLAAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYwqVgt3jxYnXr1k3BwcEKDg5WfHy83n//fcf64uJiJScnq1mzZgoMDFRSUpJyc3PdXjQAAACqcinYtWrVSmlpacrKytLHH3+sfv36afDgwfriiy8kSSkpKVq3bp3S09O1ZcsWHTt2TEOHDq2XwgEAAODMy5XOAwcOdPr829/+VosXL9b27dvVqlUrLV26VKtXr1a/fv0kScuWLVOnTp20fft29ezZ031VAwAAoIpaX2NXXl6uNWvWqKioSPHx8crKylJZWZkSEhIcfWJiYtS6dWtt27bNLcUCAACgZi4dsZOkPXv2KD4+XsXFxQoMDNRbb72lW265Rbt375aPj49CQ0Od+oeHhysnJ6fG/ZWUlKikpMTxuaCgwNWSAAAAoFocsevYsaN2796tHTt2aMKECRo9erT27dtX6wLmzp2rkJAQxxIVFVXrfQEAANzIXA52Pj4+uummmxQbG6u5c+fq1ltv1YsvvqiIiAiVlpbqzJkzTv1zc3MVERFR4/5SU1OVn5/vWI4cOeLylwAAAIAbnmNXUVGhkpISxcbGytvbW5mZmY512dnZOnz4sOLj42vc3m63Ox6fUrkAAADAdS5dY5eamqoBAwaodevWKiws1OrVq7V582Zt2LBBISEhGjt2rKZOnaqmTZsqODhYkydPVnx8PHfEAgAANACXgl1eXp5++tOf6vvvv1dISIi6deumDRs26N5775UkzZ8/Xx4eHkpKSlJJSYn69++vRYsW1UvhAAAAcGazLMtq7CIuVlBQoJCQEOXn5zfIadm209dXafs2LbF+BisqkgIDf/j57FkpIKB+xgEAAMZwJRvxrlgAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMIRLwW7u3Lm6/fbbFRQUpLCwMA0ZMkTZ2dlOfYqLi5WcnKxmzZopMDBQSUlJys3NdWvRAAAAqMqlYLdlyxYlJydr+/bt2rhxo8rKynTfffepqKjI0SclJUXr1q1Tenq6tmzZomPHjmno0KFuLxwAAADOvFzpnJGR4fR5+fLlCgsLU1ZWlu68807l5+dr6dKlWr16tfr16ydJWrZsmTp16qTt27erZ8+e7qscAAAATup0jV1+fr4kqWnTppKkrKwslZWVKSEhwdEnJiZGrVu31rZt26rdR0lJiQoKCpwWAAAAuK7Wwa6iokJPPvmkevXqpS5dukiScnJy5OPjo9DQUKe+4eHhysnJqXY/c+fOVUhIiGOJioqqbUkAAAA3tFoHu+TkZO3du1dr1qypUwGpqanKz893LEeOHKnT/gAAAG5ULl1jV2nSpEl699139eGHH6pVq1aO9oiICJWWlurMmTNOR+1yc3MVERFR7b7sdrvsdnttygAAAMBFXDpiZ1mWJk2apLfeekubNm1Su3btnNbHxsbK29tbmZmZjrbs7GwdPnxY8fHx7qkYAAAA1XLpiF1ycrJWr16td955R0FBQY7r5kJCQuTn56eQkBCNHTtWU6dOVdOmTRUcHKzJkycrPj6eO2IBAADqmUvBbvHixZKku+66y6l92bJlGjNmjCRp/vz58vDwUFJSkkpKStS/f38tWrTILcUCAACgZjbLsqzGLuJiBQUFCgkJUX5+voKDg+t9vLbT119Vv2/TEus+WFGRFBj4w89nz0oBAXXfJwAAMJor2Yh3xQIAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhvBq7AKuF22nr6+2/du0xAauBAAAoHocsQMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAuB7sPP/xQAwcOVMuWLWWz2fT22287rbcsSzNnzlRkZKT8/PyUkJCgL7/80l31AgAAoAYuB7uioiLdeuutWrhwYbXrn3/+eb300ktasmSJduzYoYCAAPXv31/FxcV1LhYAAAA183J1gwEDBmjAgAHVrrMsSwsWLNDTTz+twYMHS5Jef/11hYeH6+2339ZDDz1Ut2oBAABQI7deY3fw4EHl5OQoISHB0RYSEqK4uDht27at2m1KSkpUUFDgtAAAAMB1bg12OTk5kqTw8HCn9vDwcMe6S82dO1chISGOJSoqyp0lAQAA3DAa/a7Y1NRU5efnO5YjR440dkkAAADXJbcGu4iICElSbm6uU3tubq5j3aXsdruCg4OdFgAAALjOrcGuXbt2ioiIUGZmpqOtoKBAO3bsUHx8vDuHAgAAwCVcviv27Nmz+uqrrxyfDx48qN27d6tp06Zq3bq1nnzyST377LO6+eab1a5dO82YMUMtW7bUkCFD3Fk3AAAALuFysPv444919913Oz5PnTpVkjR69GgtX75cv/rVr1RUVKRx48bpzJkz6t27tzIyMuTr6+u+qgEAAFCFzbIsq7GLuFhBQYFCQkKUn5/fINfbtZ2+vk7bf5uWePWdi4qkwMAffj57VgoIqNPYAADAfK5ko0a/KxYAAADuQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAuP6AYzqp7Dp5Lz7YDAABwE47YAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABjCq7ELMFHb6eurtH2bltgIlQAAgBsJR+wAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQvCu2gbSdvl5+pcXa/5/PnWZk6LyPL++QBQAAbsMROwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATvim1kbaevr9LG+2MBAEBtcMQOAADAEAQ7AAAAQxDsAAAADEGwAwAAMAQ3T1yDuKECAADUBkfsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQPMfuOlHds+0knm8HAAD+P47YAQAAGIJgBwAAYAhOxV7neP0YAACoxBE7AAAAQ9RbsFu4cKHatm0rX19fxcXFaefOnfU1FAAAAFRPp2L/8pe/aOrUqVqyZIni4uK0YMEC9e/fX9nZ2QoLC6uPIXERTs8CAHBjqpdg98ILL+jxxx/Xo48+KklasmSJ1q9fr9dee03Tp0+vjyFxBTU9LuVqEQwBALj2uT3YlZaWKisrS6mpqY42Dw8PJSQkaNu2bVX6l5SUqKSkxPE5Pz9fklRQUODu0qpVUXKuQcaRpPLSYlV+q/KSc6qwKhps7LpqqPkAAADOKv8Ntizrin3dHuxOnDih8vJyhYeHO7WHh4frwIEDVfrPnTtXv/nNb6q0R0VFubu0a0JI5Q+LftqYZbgsZEFjVwAAwI2tsLBQISEhl+3T6I87SU1N1dSpUx2fKyoqdOrUKTVr1kw2m61exy4oKFBUVJSOHDmi4ODgeh0L9Yd5NAdzaQbm0RzM5bXBsiwVFhaqZcuWV+zr9mDXvHlzeXp6Kjc316k9NzdXERERVfrb7XbZ7XanttDQUHeXdVnBwcH8gTUA82gO5tIMzKM5mMvGd6UjdZXc/rgTHx8fxcbGKjMz09FWUVGhzMxMxcfHu3s4AAAA/Ee9nIqdOnWqRo8ere7du6tHjx5asGCBioqKHHfJAgAAwP3qJdgNHz5cx48f18yZM5WTk6PbbrtNGRkZVW6oaGx2u12zZs2qcioY1xfm0RzMpRmYR3Mwl9cfm3U1984CAADgmse7YgEAAAxBsAMAADAEwQ4AAMAQBDsAAABDGB3sFi5cqLZt28rX11dxcXHauXPnZfunp6crJiZGvr6+6tq1q957770GqhRX4spcvvLKK+rTp4+aNGmiJk2aKCEh4Ypzj4bj6t/LSmvWrJHNZtOQIUPqt0BcFVfn8cyZM0pOTlZkZKTsdrs6dOjAf2OvEa7O5YIFC9SxY0f5+fkpKipKKSkpKi4ubqBqcUWWodasWWP5+PhYr732mvXFF19Yjz/+uBUaGmrl5uZW23/r1q2Wp6en9fzzz1v79u2znn76acvb29vas2dPA1eOS7k6lyNGjLAWLlxoffrpp9b+/futMWPGWCEhIdZ3333XwJXjUq7OZaWDBw9a//Vf/2X16dPHGjx4cMMUixq5Oo8lJSVW9+7drfvvv9/66KOPrIMHD1qbN2+2du/e3cCV41KuzuWqVassu91urVq1yjp48KC1YcMGKzIy0kpJSWngylETY4Ndjx49rOTkZMfn8vJyq2XLltbcuXOr7T9s2DArMTHRqS0uLs564okn6rVOXJmrc3mpCxcuWEFBQdaf/vSn+ioRV6k2c3nhwgXrjjvusF599VVr9OjRBLtrgKvzuHjxYis6OtoqLS1tqBJxlVydy+TkZKtfv35ObVOnTrV69epVr3Xi6hl5Kra0tFRZWVlKSEhwtHl4eCghIUHbtm2rdptt27Y59Zek/v3719gfDaM2c3mpc+fOqaysTE2bNq2vMnEVajuXs2fPVlhYmMaOHdsQZeIKajOPf/vb3xQfH6/k5GSFh4erS5cu+t3vfqfy8vKGKhvVqM1c3nHHHcrKynKcrv3mm2/03nvv6f7772+QmnFl9fLmicZ24sQJlZeXV3nTRXh4uA4cOFDtNjk5OdX2z8nJqbc6cWW1mctLTZs2TS1btqwS3NGwajOXH330kZYuXardu3c3QIW4GrWZx2+++UabNm3SyJEj9d577+mrr77SxIkTVVZWplmzZjVE2ahGbeZyxIgROnHihHr37i3LsnThwgWNHz9ev/71rxuiZFwFI4/YAZXS0tK0Zs0avfXWW/L19W3scuCCwsJCjRo1Sq+88oqaN2/e2OWgDioqKhQWFqY//vGPio2N1fDhw/XUU09pyZIljV0aXLR582b97ne/06JFi/TJJ5/ozTff1Pr16zVnzpzGLg3/YeQRu+bNm8vT01O5ublO7bm5uYqIiKh2m4iICJf6o2HUZi4rzZs3T2lpafrHP/6hbt261WeZuAquzuXXX3+tb7/9VgMHDnS0VVRUSJK8vLyUnZ2t9u3b12/RqKI2fycjIyPl7e0tT09PR1unTp2Uk5Oj0tJS+fj41GvNqF5t5nLGjBkaNWqUHnvsMUlS165dVVRUpHHjxumpp56ShwfHixqbkTPg4+Oj2NhYZWZmOtoqKiqUmZmp+Pj4areJj4936i9JGzdurLE/GkZt5lKSnn/+ec2ZM0cZGRnq3r17Q5SKK3B1LmNiYrRnzx7t3r3bsQwaNEh33323du/eraioqIYsH/9Rm7+TvXr10ldffeUI5pL073//W5GRkYS6RlSbuTx37lyV8FYZ2C1ePX9taOy7N+rLmjVrLLvdbi1fvtzat2+fNW7cOCs0NNTKycmxLMuyRo0aZU2fPt3Rf+vWrZaXl5c1b948a//+/dasWbN43Mk1wtW5TEtLs3x8fKy1a9da33//vWMpLCxsrK+A/3B1Li/FXbHXBlfn8fDhw1ZQUJA1adIkKzs723r33XetsLAw69lnn22sr4D/cHUuZ82aZQUFBVl//vOfrW+++cb6+9//brVv394aNmxYY30FXMLYYGdZlvXyyy9brVu3tnx8fKwePXpY27dvd6zr27evNXr0aKf+b7zxhtWhQwfLx8fH6ty5s7V+/foGrhg1cWUu27RpY0mqssyaNavhC0cVrv69vBjB7trh6jz+61//suLi4iy73W5FR0dbv/3tb60LFy40cNWojitzWVZWZj3zzDNW+/btLV9fXysqKsqaOHGidfr06YYvHNWyWRbHTgEAAExg5DV2AAAANyKCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGOL/AU0PeoAY6IgYAAAAAElFTkSuQmCC\n" 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zu9tt2rSBQqFAfHx8pUEoISEBLVq0gJOTk+m+Dz/8ED/99JNZ683NzcW9996LWbNmoW/fvqhfvz4eeeQRvPfeexb/PETkuCQhhJC7CCIiIiKqPbbYEREREdkJBjsiIiIiO8FgR0RERGQnVHIXICe9Xo+rV6/Cw8MDkiTJXQ4RERHRLYQQyM3NRUhICBSKO7fJOXSwu3r1KkJDQ+Uug4iIiOiukpKS0KBBgzse49DBzsPDA4DhRHl6espcjQXl5wMhIYbrV68Cbm7y1kNERERVlpOTg9DQUFNuuROHDnbG7ldPT0/7DnZKZfl1T08GOyIiojqoKsPGOHmCiIiIyE4w2BERERHZCQY7IiIiIjvh0GPsiIiIqPZ0Oh1KS0vlLqPOUqvVUN48Hr4WGOyIiIioRoQQSE1NRVZWltyl1Hne3t4ICgqq9bq6DHZERERUI8ZQFxAQAFdXVy72XwNCCBQUFCA9PR0AEBwcXKvXY7AjIiKiatPpdKZQ5+fnJ3c5dZqLiwsAID09HQEBAbXqluXkCSIiIqo245g6V1dXmSuxD8bzWNuxigx2REREVGPsfjUPc51HBjsiIiIiO8FgR0RERGQnGOyIiIjI4fTt2xeSJEGSJKhUKgQHB+OBBx7Avn375C6tVhjsiIiIyKEIIXD48GHMmTMHKSkpOHv2LH766ScoFAr07t0bmzZtkrvEGmOwI6qhUp0ehy5mokSrl7sUIiKqhjNnziA3Nxd9+vRBUFAQwsLC0K9fP6xcuRJRUVH473//K3eJNcZgR1RD7/91EqO/2IsRn+5CQnK23OUQEVEVxcbGQqlUIiIiosL9kiRhwIABOHLkiDyFmQGDHVEN6PUCa45eBQCcTM3FfYt24+O/T6NUx9Y7InJMQggUlGhluQghqlVrXFwcWrZseds1+JycnKBWqwEA8+bNw8yZMwEAubm5GDBgAN566y0AQFJSEu6//3507twZzZo1w5NPPlnLM2ge3HmCqAaOXMnCtdxieDir0LOZP2KOp+Ljv89gU2IaPnowAq2CPOUukYjIqgpLdQh/Y4Ms75341iC4OlU90sTFxaFTp063fezUqVNo1aoVACAhIQHR0dFIS0vD8OHDMWnSJDz11FMAgHHjxuGNN97AoEGDIITAiRMnav9BzIAtdkQ1sCkxDQBwT6sAfP5oRywYFwkvFzWOX83B8IW7sGjrWWjZekdEZJPi4uLQsWPHW+7Pz8/H2rVrMWrUKACGYOfi4oL+/ftj5syZplBXVFSEgwcPomfPngAMXbjh4eHW+wB3wBY7ohrYeDwVADAgPBCSJGFkZH1ENfHDzN/i8feJdHy44RQ2Hk/FRw9GoFmAh8zVEhFZnotaicS3Bsn23lV1/vx5ZGVl3RLsdDodnnnmGbi4uOD555+HEAKJiYmYMmUKli9fjt69e5uO1Wg06NGjB1q1aoUHHngATz75JCIjI831cWqFwY6oms5fy8O5a/lQKyXc07Ke6f4ATw0WP94Zvx1Oxqy1x3H0SjaGfrILLw1ogUm9m0Cp4LY7RGS/JEmqVneoXGJjYwEAwcHBSE1NRU5ODmJjY7FgwQIkJSXhzz//hJeXF86fP4+QkBD4+PggMzPzltfZsmULtm/fjl9//RU9evTA7t270aFDB2t/nFvY/v8BIhtj7Ibt3sQPnhp1hcckScIDHRugR1N//Gf1MWw7dQ2z/zqJDcdTMXdMBJrUc5ejZCIiKhMXFwcAaNGiBZRKJby9vdGyZUuMGDECzzzzDHx9fQEYumEjIyMxe/Zs9O/fHx06dEDDhg1Nr6NQKNCvXz/069cP586dQ2Jiok0EO46xI6omY7AbEB5Y6TFBXhp8+0QXvD+qHdydVYi7nIWhn+zEkl0XoNdXb/YWERGZz+zZsyGEgBACWq0WGRkZ2L17N2bOnGkKdYAh2LVt2xZNmzbFO++8g3HjxkGr1QIANmzYgNLSUgDAhQsXcPLkSdN4O7kx2BFVw7XcYsRevgEAiG5debADDK13Y7s0xIZpfdCrmT+KSvV4689EjPtqHy5dz7dGuUREVEPGYAcAjz76KJo3b25auHjlypVo1aoVIiMj8eijj2Lx4sUICwuTsdpykqju4i92JCcnB15eXsjOzoanpx0vT5GfD7iXdQHm5QFubvLWU4etOHgZr/4aj3b1vfDHv3pV+XlCCPx04DLeXXcCBSU6uKiVmDm0FR7p1ggKjr0jojqoqKgIFy5cQOPGjaHRaOQup8670/msTl5hix1RNVSlG/Z2JEnCI90aYcOLfdC9iS8KS3V4fc1xPPrNfiRlFliiVCIickAMdkRVVFCixc4zGQCqH+yMQn1d8dOk7nhzeDg0agX2nLuOwR/vwM8HLld75XQiIqJ/YrAjqqKdZzJQrNWjgY8LWgXVfG06hULCEz0bI+aFPujcyAf5JTrMWB2Px5ccwNWsQjNWTEREjobBjqiKNh43dMMODA+CJNV+XFyYvxtWPB2F14a1hrNKgZ1nMjBo/g6sPJTE1jsiIqoRBjuiKtDq9Nhysmbj6+5EqZAwqXcTrJvaG5Gh3sgt1uKVVccwaekhpOUUme19iIjIMTDYEVVB7KUbuFFQCm9XNbqE+Zj99ZsFuGPVM1H4z5BWcFIqsPlkOgbO34HfDyez9Y6IiKqMwY6oCoyzYf+vZQBUSsv8s1EpFXimb1P8ObUX2tX3QnZhKV5ccQRP/xCLa7nFFnlPIiKyLzYV7BYtWoSwsDBoNBp069YNBw4cqPTY7777DpIkVbhwHR2yBCEENp0wfzdsZVoEemD1cz3w0oAWUCslbExMw8D52/HnsasWf28iIqrbbCbYrVixAtOnT8esWbMQFxeHiIgIDBo0COnp6ZU+x9PTEykpKabLpUuXrFgxOYrTaXm4dL0ATioF+rSoZ5X3VCsV+Ff/5ljzfC+0DvbEjYJSTPnpMJ7/MQ6Z+SVWqYGIiOoemwl28+bNw+TJkzFhwgSEh4fjiy++gKurK5YsWVLpcyRJQlBQkOkSGGj51hRyPJsSUwEAvZr5w81ZZdX3Dg/xxJrne2Jq/+ZQKiSsi0/BwPnbEZOQatU6iIiobrCJYFdSUoLY2FhER0eb7lMoFIiOjsbevXsrfV5eXh4aNWqE0NBQjBw5EsePH7dGueRgarrbhLk4qRSYPqAF1jzfEy0DPZCRV4JnlsXiheWHkVXA1jsiIipnE8EuIyMDOp3ulha3wMBApKbevmWiZcuWWLJkCdasWYNly5ZBr9ejR48euHLlSqXvU1xcjJycnAoXojtJyynC0SvZkCSgf+sAWWtpW98La//VE8/d0xQKCVhz5CoGzN+BzWXj/4iIqOr+85//wNnZGQ8//LDcpZiVTQS7moiKisLjjz+OyMhI9O3bF6tXr0a9evXw5ZdfVvqc2bNnw8vLy3QJDQ21YsVUFxlb6yJDvRHgIf/kHGeVEv8e3Aqrn+uJpvXccC23GBOXHsJLvxxFdmGp3OUREdUZM2bMwEcffYSff/4ZZ8+elbscs7GJYOfv7w+lUom0tIotD2lpaQgKCqrSa6jVanTo0OGO/3NmzJiB7Oxs0yUpKalWdZP925hYvtuELYkM9ca6qb3xVJ8mkCTg17grGDR/B7adqnyyERERlfPy8sLEiROhUCgQHx8vdzlmYxPBzsnJCZ06dcLmzZtN9+n1emzevBlRUVFVeg2dTof4+HgEBwdXeoyzszM8PT0rXIgqk1tUir3nMgDIN77uTjRqJWYObY1Vz0Shsb8bUnOK8MS3B/GfX48ht4itd0REd6PVauHq6oqEhAS5SzEb607xu4Pp06dj/Pjx6Ny5M7p27YqPP/4Y+fn5mDBhAgDg8ccfR/369TF79mwAwFtvvYXu3bujWbNmyMrKwocffohLly5h0qRJcn4MsiPbT19DqU6gib8bmgW4y11OpTo18sX6qb3xwYaT+Hb3RSw/mISdZzLwwej26NnMX+7yiMhRCAEUFMjz3q6uQA328H7ttdeQl5fHYGcJY8eOxbVr1/DGG28gNTUVkZGRiImJMU2ouHz5MhSK8gbGGzduYPLkyUhNTYWPjw86deqEPXv2IDw8XK6PQHZG7tmw1eHipMSs4W0wqE0QXll1FEmZhXjk6/14tHtDzBjS2urLtBCRAyooANxl+iM4Lw9wc6vWU2JjY/HFF19g2LBhZg92W7ZsweHDh/HSSy+Z9XWrQhIOvBFlTk4OvLy8kJ2dbd/dsvn55f/YavDD74hKdXp0fHsTcou0WPVMFDqH+cpdUpXlF2sx56+T+GGfYcHuUF8XfDg6At2b+MlcGRHZk6KiIly4cAGNGzc27Px083eNtVXzu02v16Nr167o27cvunXrhkcffRT5+flQq9UWLPLObjmfN6lOXrGJMXZEtmb/+UzkFmnh7+6EDg195C6nWtycVXj7vrb4cVI31Pd2QVJmIcZ9tQ9vrj2OwhKd3OURkb1ydTUELDkurq7VKnXhwoXIyMjAW2+9hXbt2qG0tBQnT540Pd6zZ0/s378fADBx4kTMnz8fADBixAi88MIL6N69O1q2bIkDBw5g5MiRaNSoET777DPT80eMGIH4+HgMHToUb7zxBnr27IkmTZpYpcuXwY7oNoy7TfRvFQilovrjNmxBz2b+iHmxNx7qaljW57s9FzFkwQ4cupgpc2VEZJckydBqJselGuPrkpOT8frrr2PRokVwc3ND8+bN4ezsXCF0vf7665gzZw7mzZsHhUKBadOmAQDi4+PRvn177Nu3D/3798crr7yCZcuWYevWrfj2229Nzz958iRatWqFhIQENGzYELt378bUqVOxZs0a853vSjDYEf2DEKJOja+7Ew+NGrMfaI+lT3ZFkKcGF68XYMyXe/HuukQUlbL1jogcz9SpUzFkyBAMGzYMAKBSqdC6desKwW7w4MG4fPky1q1bZ2qJy83NhRACEydOrPBaHh4eEEKYukhzc3Oh0WhQWFgISZJMkzpLS0vh7e1t8c/HYEf0D8ev5uBqdhFc1Er0am4fs0r7tqiHDdP6YHSnBhACWLzzAoZ9shOHL9+QuzQiIqv5888/sWXLFixYsKDC/e3atasQ7A4ePIjMzEx4eXmZxt0dP34cXbp0MR0THx+Pbt26AQASEhLQrl0703Ft2rRBQkLCLce3adPGYp/NiMGO6B+MixL3bu4PjVopczXm4+WixtwxEfhmfGfU83DGuWv5GPX5HrwfcxLFWrbeEZH9u/fee3Hjxo1bNj/4/vvvTd2kycnJmDRpErZs2YKLFy+aAp+xG9boypUraNCggekxY7AzXk9ISEBERITp+JuPsSQGO6J/2HjcML6urnfDVqZ/60BsmtYH90WGQC+Az7edw/CFuxB/JVvu0oiIZFVYWIgxY8Zg4cKFaNy4MWbMmIG3334bQMVgl5SUVGFb0n8Gu7Zt2yIhIcF0vFarRVZWFvz8LL86AZc74XIndJNz1/LQ/6PtUCkkHHotGt6uTnKXZFExCal47fd4ZOSVQKmQ8Pw9TTHl/5rDScW/+Yjozu60PAdVH5c7IbKAv+JTAAA9mvnbfagDgMFtg7BxWl8Max8MnV7gky1nMXLRbiRezZG7NCIiqgEGO6KbrI83dMMOaxd0lyPth6+bExY93BGfPtwBPq5qnEjJwYhPd+GTzWdQqtPLXR4REVUDgx1RmYsZ+UhMyYFSIWFAuOMEO6N724dg47S+GBgeCK1eYN6m03jgsz04lZord2lERFRFDHZEZdYnlHXDNvWDr5v9d8PeTj0PZ3z5WCcsGBcJLxc14pOzMXzhLny27Sy0bL0jIrJ5DHZEZdaXja8b2i5Y5krkJUkSRkbWx6ZpfdC/VQBKdHp8EHMKo7/Yi7PpeXKXR0Q2xoHnYJqVuc4jgx0RgMvXC5CQbOiGHWiny5xUV4CnBl+P74y5YyLgoVHhSFIWhn6yE4t3nIdOz1/kRI7OuHBvQUGBzJXYB+N5NJ7XmlKZoxiius7YDdu9iS/83J1lrsZ2SJKE0Z0aoGczP7z6azx2nL6Gd9efwIbjqfhwTAQa+3PpHCJHpVQq4e3tjfT0dACAq6srpGrs2UoGQggUFBQgPT0d3t7eUCprtzA+gx0Rypc5GdLWsbthKxPs5YKlE7pgxcEkvLPuBA5duoEhC3bg1cGtMD4qDAoFf5kTOSLjDg7GcEc15+3tfcuOGDXBYEcOLymzAEevZEMhAYPaON5s2KqSJAnjujZEr+b++PeqY9hz7jr+90ciYhJS8eHoCDT0c5W7RCKyMkmSEBwcjICAAJSWlspdTp2lVqtr3VJnxGBHDi8mwbB2XdfGvqjnwW7Yu2ng44plE7vhx/2X8N76k9h/IRODF+zAzKGt8Ui3huyKIXJASqXSbMGEaoeTJ8jhrSvrhh3m4LNhq0OhkPBYVBg2vNgHXRv7oqBEh9d+T8Bj3xzAlRscSE1EJBcGO3JoyVmFOJKUBUkCBrVlN2x1NfRzxfLJ3TFreDg0agV2nc3A4I93YvmBy1wCgYhIBgx25NCMkya6hPkiwIObWNeEQiFhQs/GWD+1Nzo18kFesRb/WR2PJ749iJTsQrnLIyJyKAx25ND+KhtfN5StdbXWpJ47fnk6CjOHtoKTSoHtp69h4Pwd+DX2ClvviIishMGOHFZKdiFiL90AAAzh+DqzUCokPNWnKdZP7YWIUG/kFmnx0sqjmPz9IaTnFMldHhGR3WOwI4dlnA3buZEPAj3ZDWtOzQI88OszUfj34JZwUirw94l0DJi/A2uOJLP1jojIghjsyGFxb1jLUikVeO6eZvjjX73Qtr4nsgtL8cLyI3h2WRwy8orlLo+IyC4x2JFDSsspwiFTNyzH11lSyyAP/PZcT0yLbgGVQkLM8VQMnL8D646lyF0aEZHdYbAjhxSTkAohgI4NvRHs5SJ3OXZPrVTghejmWDOlJ1oFeSAzvwTP/xSHKT/FITO/RO7yiIjsBoMdOSR2w8qjTYgX1k7phan/1wxKhYQ/j6Vg4Pzt2HA8Ve7SiIjsAoMdOZz03CIcuJgJgLNh5eCkUmD6wJb47bkeaB7gjoy8Ejz9QyymrTiC7ALuNUlEVBsMduRwNhxPgxBARKg36nuzG1Yu7Rt4449/9cKz9zSFQgJ+O5yMAfO3Y8vJNLlLIyKqsxjsyOGsP2bcG5aTJuSmUSvx6uBWWPVsDzSp54b03GI8+d0hvLLyKHKK2HpHRFRdDHbkUDLyirH/wnUAwJC27Ia1FR0b+mD91N6Y1KsxJAlYGXsFg+bvwI7T1+QujYioTmGwI4ey4Xgq9AJo38ALob6ucpdDN9GolXjt3nD88nQUGvm5IiW7CI8vOYAZq+ORV6yVuzwiojqBwY4cyoELhkkT0a0DZa6EKtMlzBd/vdAbT/QIAwD8fOAyBs3fgT1nM+QtjIioDmCwI4dSVKoDAPi6OclcCd2Jq5MKb45og58nd0cDHxckZxXi4a/34401Cchn6x0RUaUY7MihaHWGfUrVSknmSqgqopr6YcOLffBIt4YAgO/3XsKQBTtNLa9ERFQRgx05lFK9IdipFPzRryvcnFV49/52+GFiV4R4aXA5swBjv9qLt/5IRGGJTu7yiIhsCr/dyKFodXoAgIotdnVO7+b1EDOtD8Z1CYUQwJLdFzDsk52ILdvzl4iIGOzIwZR3xfJHvy7y1KgxZ1R7fDuhCwI9nXE+Ix9jvtiD2etPmMZPEhE5Mn67kUMp1Ze12CnYYleX9WsZgI0v9sUDHetDL4Avd5zHvQt34WhSltylERHJisGOHApb7OyHl6sa8x6MxOLHO8Pf3Rln0/PwwOd78OGGkyjWsvWOiBwTv93IoZSWjbFTssXObgwID8SmaX0wMjIEOr3Aoq3nMGLhbiQkZ8tdGhGR1THYkUPRGWfFcvKEXfFxc8KCcR3w+SMd4efmhFNpubhv0W7M33QaJVq93OUREVkNgx05FK2eXbH2bEi7YGyc1gdD2wVBqxdYsPkM7lu0GydScuQujYjIKvjtRg7F2BXLyRP2y8/dGYse7oiFD3WAt6saiSk5GPHpLny65YxpuRsiInvFYEcOhZMnHIMkSRgeEYKN0/pgQHggSnUCczeexgOf78GZtFy5yyMishh+u5FD0eq5QLEjCfDQ4KvHOmH+2Ah4alQ4diUbwz7ZhS+2nzONtyQisicMduRQSnXcUszRSJKE+zs0wKbpfdGvZT2U6PSY89dJjP5iD85dy5O7PCIis+K3GzkU4xgrNVvsHE6gpwZLnuiCD0a3h4ezCocvZ2Hogp34eud5tt4Rkd1gsCOHUmpa7oQ/+o5IkiQ82DkUG6b1Qe/m/ijW6vHOuhMY99VeXMzIl7s8IqJa47cbORQtZ8USgBBvF3z/ZFe8d387uDkpcfDiDQxZsBNL91yEnq13RFSHMdiRw9DrBYzf2Qx2JEkSHu7WEDEv9kFUEz8Uluowa+1xPPL1fiRlFshdHhFRjTDYkcPQ3tQSw65YMgr1dcWPk7rhrZFt4KJWYu/56xj88Q78uP8ShGDrHRHVLfx2I4dhXOoE4OQJqkihkPB4VBhiXuyNrmG+yC/R4b+/JeDxJQdwNatQ7vKIiKqMwY4cxvW8EgCAk0oBF7VS5mrIFjXyc8Pyp7rj9XvD4axSYOeZDAyavwO/HExi6x0R1QkMduQwUrKLAADBXhpIElvs6PYUCgkTezXG+hd6o0NDb+QWa/HvX4/hye8OIrXsZ4iIyFYx2JHDSMk2dKkFe2lkroTqgqb13LHqmR6YMaQVnFQKbD11DQPnb8fquCtsvSMim8VgRw6jvMXOReZKqK5QKiQ83bcp1v2rFyIaeCGnSIvpvxzFUz/EIj2XrXdEZHsY7MhhpGSxxY5qpnmgB359tgdeGdQSaqWETYlpGDh/B9YevcrWOyKyKQx25DCuGlvsvNliR9WnUirwfL9mWDulF9qEeCKroBRTfz6M53+Kw/W8YrnLIyICYGPBbtGiRQgLC4NGo0G3bt1w4MCBKj1v+fLlkCQJ9913n2ULpDrNOPA92JMtdlRzrYM98fvzPfFidHOoFBLWx6di4Pwd+Cs+Re7SiIhsJ9itWLEC06dPx6xZsxAXF4eIiAgMGjQI6enpd3zexYsX8fLLL6N3795WqpTqKtPkCW8GO6odtVKBF6Nb4Pfne6JVkAeu55fg2R/jMPXnw7iRXyJ3eUTkwGwm2M2bNw+TJ0/GhAkTEB4eji+++AKurq5YsmRJpc/R6XR45JFH8L///Q9NmjSxYrVU1xRrdcgoW8cuhJMnyEza1vfCmik9MaVfMygVEtYevYoB83dgU2Ka3KURkYOyiWBXUlKC2NhYREdHm+5TKBSIjo7G3r17K33eW2+9hYCAAEycONEaZVIdlpZtGAPlrFLA21UtczVkT5xVSrw8qCVWP9sDzQLckZFXjMnfH8L0X44gu6BU7vKIyMHYRLDLyMiATqdDYGBghfsDAwORmpp62+fs2rUL33zzDRYvXlzl9ykuLkZOTk6FCzmGq2XdsCHeLlycmCwiItQbf/6rF57u2wQKCVgdl4yBH2/H1lN3Hk5CRGRONhHsqis3NxePPfYYFi9eDH9//yo/b/bs2fDy8jJdQkNDLVgl2RIuTkzWoFErMWNIa6x8pgca+7shLacYE749iFdXHUNOEVvviMjybCLY+fv7Q6lUIi2t4riUtLQ0BAUF3XL8uXPncPHiRQwfPhwqlQoqlQrff/891q5dC5VKhXPnzt32fWbMmIHs7GzTJSkpySKfh2yPcXHiIAY7soJOjXywfmpvPNmzMSQJWHEoCYPn78CuMxlyl0ZEds4mgp2TkxM6deqEzZs3m+7T6/XYvHkzoqKibjm+VatWiI+Px5EjR0yXESNGoF+/fjhy5EilLXHOzs7w9PSscCHHkJJlCHacOEHW4uKkxBvDw7F8cnc09HXF1ewiPPrNfvz3t3jkFWvlLo+I7JRK7gKMpk+fjvHjx6Nz587o2rUrPv74Y+Tn52PChAkAgMcffxz169fH7NmzodFo0LZt2wrP9/b2BoBb7icCuNQJyadbEz/EvNgb7/91Ekv3XsKP+y9j++lr+GB0e/RoWvWhJEREVWEzwW7s2LG4du0a3njjDaSmpiIyMhIxMTGmCRWXL1+GQmETDYxUB5XvE8tgR9bn6qTC/0a2xaA2QXhl1TFcuVGIhxfvxxM9wvDvwS3h6mQzv4qJqI6ThANvdJiTkwMvLy9kZ2fbd7dsfj7g7m64npcHuLnJW48MOr69CZn5Jfjrhd5oHWzH/6/J5uUVa/He+hP4af9lAEAjP1fMHROBLmG+MldGRLaqOnmFTWBk967lFiMzvwSSBDTw4Rg7kpe7swrv3d8O3z/ZFcFeGly6XoAHv9yLt/9MRFGpTu7yiKiOY7Aju3fwYiYAoGWgBzw0XJyYbEOfFvWwYVofPNi5AYQAvtl1AUMX7ETc5Rtyl0ZEdRiDHdm9AxcMwa5bY3Z1kW3x1KjxwegILHmiMwI8nHE+Ix+jP9+DOX+dZOsdEdUIgx3ZvX3nrwMwzE4kskX/1yoQm6b1xQMd6kMvgC+2n8Pwhbtw7EqW3KURUR3DYEd2LaugBKfScgGAg9PJpnm5qjFvbCS+eqwT/N2dcCY9D/d/tgcfbTyFEq1e7vKIqI5gsCO7dvDiDQgBNKnnhnoeznKXQ3RXA9sEYeO0vhgeEQKdXmDhlrMY8ekuHL+aLXdpRFQHMNiRXTtwoawbtjG7Yanu8HVzwsKHOmDRwx3h6+aEk6m5GPnpbiz4+wxKdWy9I6LKMdiRXePECarLhrUPxsZpfTC4TRC0eoH5f5/G/Z/txqnUXLlLIyIbxWBHdiuvWIuEqzkAgK4MdlRH+bs74/NHO2LBuEh4uaiRkJyDexfuxKKtZ6Fl6x0R/QODHdmt2Es3oNMLhPq6IMSbCxNT3SVJEkZG1semaX0Q3ToApTqBDzecwqgv9uJsOlvviKgcgx3ZLeP4uq5hHF9H9iHAU4PFj3fGR2Mi4KFR4WhSFoZ+sgtf7TgHnd5hd4ckopsw2JHd2n++bHxdE3bDkv2QJAmjOjXApml9cU/LeijR6vHe+pN48Mu9OH8tT+7yiEhmDHZkl4pKdThatrgrJ06QPQry0uDbJ7rg/VHt4O6sQuylGxj6yU4s2XUBerbeETksBjuyS3GXb6BUJxDo6YyGvq5yl0NkEZIkYWyXhtgwrQ96NfNHUakeb/2ZiHGL9+Hy9QK5yyMiGTDYkV0qX+bED5IkyVwNkWXV93bBDxO74p372sLVSYkDFzIxeMEO/LD3IlvviBwMgx3ZJWOw4zIn5CgkScKj3Rthw4t90L2JLwpKdHh9zXE8+s1+JGWy9Y7IUTDYkd3R6wWOJmUB4P6w5HhCfV3x06TueHN4ODRqBfacu47BH+/AzwcuQwi23hHZOwY7sjvnM/KRX6KDRq1AswB3ucshsjqFQsITPRsj5oU+6NzIB/klOsxYHY/x3x5ESnah3OUR2Y3z1/Lw2bazWHv0qtylmDDYkd0xbpYeHuwJpYLj68hxhfm7YcXTUXhtWGs4qxTYcfoaBs7fgZWHkth6R2QGJ1Nz8UHMKSzbe0nuUkwY7MjuJCQbgl3b+l4yV0IkP6VCwqTeTbBuam9Ehnojt0iLV1Ydw6Slh5CWUyR3eUR1WlGpDgDgrLadOGU7lRCZSUKyYX/YtiEMdkRGzQLcseqZKLw6uBWclApsPpmOgfN34PfDyWy9I6qhYq1hv2ZnlVLmSsox2JFdEUIg4Spb7IhuR6VU4Nl7muLPqb3Qrr4XsgtL8eKKI3hmWSyu5RbLXR5RnWNssdOwxY7IMpIyC5FbpIWTUoHmgZw4QXQ7LQI9sPq5HnhpQAuolRI2HE/DwPnb8ecx2xkATlQXsMWOyMKMrXWtgj2gVvLHm6gyaqUC/+rfHGue74XWwZ64UVCKKT8dxvM/xiEzv0Tu8ojqBI6xI7Kw+LKJE204vo6oSsJDPLHm+Z6Y2r85lAoJ6+JTMHD+dsQkpMpdGpHNM7bYadhiR2QZ5TNiPWWuhKjucFIpMH1AC/z+XE+0CHRHRl4JnlkWixeXH0ZWAVvviCpTXFrWFcsWOyLzE0Lg+FXOiCWqqXYNvPDHv3rhuXuaQiEBvx+5igHzd2DziTS5SyOySUXasskTbLEjMr+U7CJk5pdAqZDQMshD7nKI6iRnlRL/HtwKq5/riab13HAttxgTlx7CS78cRXZhqdzlEdkUttgRWZCxG7Z5gDs0atv564moLooM9ca6qb3xVJ8mkCTg17grGDR/B7adSpe7NCKbUd5iZztxynYqIaqlk6m5ADhxgshcNGolZg5tjZVPR6GxvxtSc4rwxLcHMWP1MeQWsfWOqLzFznYaExjsLKiwRIcvt5/Dl9vPcWV3K7iQkQ8AaFLPTeZKiOxL5zBfrJ/aGxN6hgEAfj6QhMEf78TusxnyFkYAgNhLN/DRxlOmpTfIeoq1XKDYoRSW6jD7r5OY/ddJuUtxCMZg19ifwY7I3FyclJg1vA2WP9Udob4uSM4qxCNf78drv8cjv1grd3kO7YOYk1i45Sx+3H9Z7lIcjqnFjpMnHA8b7Czv4nVDsAvzY7AjspTuTfwQ80IfPNa9EQBg2b7LGLxgB/advy5zZY7rWp5hO7iVh5LYO2RlRWyxcyzSTdf5T82ysgpKkFVgGPMT5u8qczVE9s3NWYW372uLHyd1Q31vFyRlFmLcV/vwvz+Oo7CE3YHWllM2W/lkaq5pySeyDrbYORhJuvsxZB7GbthAT2e4OqlkrobIMfRs5o+YF3vjoa6hAIBvd1/EkAU7cOhipsyVOQ4hhOmPWsDQakfWwxY7B8bmccu6dL0AALthiazNQ6PG7AfaY+mTXRHkqcHF6wUY8+VevLsukYP5rSC/RAetvvz75fcjV3nerYgtdg5GuqkzlrHOsowtdgx2RPLo26IeNkzrg9GdGkAIYPHOCxj2yU4cvnxD7tLsmnHLNyelAsFeGmQXluJv7hRiNWyxczQ3dcWywc6yTBMnOCOWSDZeLmrMHROBb8Z3Rj0PZ5y7lo9Rn+/BBzEnTctCkHkZdwPxclVjVMcGAICVh67IWZJDYYsdkYVcNC11wokTRHLr3zoQm6b1wX2RIdAL4LNt5zB84S7EX8mWuzS7k102vs7bRY3RnQzBbueZa0jNLpKzLIcghDC12HFLMQdx8+QJwc5YixFClHfFssWOyCZ4uzrh43Ed8MWjneDn5oTTaXm477PdmLfpNEq0ernLsxtZZS123q5qhPm7oWuYL/TCsAUcWVapTph649hi5yAqLHfCXGcxBSU65BQZFkht4MMWOyJbMrhtEDZO64Nh7YKh0wt8svkM7lu0G4lclsMsTF2xLk4AgNGdDa12q2KvcNKehRXdNLzAmXvFEpmP8S9WtVKCm5Pt/NVERAZ+7s5Y9EhHfPpwB/i4qpGYkoORi3Zh4eYzKNWx9a42jEudeLmoAQDD2gXD1UmJCxn5iL3EiSuWZBxfBzDYOQyJC9lZRXZB+V+sPOdEtuve9iHYOK0vBoYHolQn8NGm03jgsz04nZYrd2l1VlahYVast6sh2Lk5qzC0XTAATqKwNOOyMs4qhU199zDYWRC7Yq2jvCuCCxMT2bp6Hs748rFO+HhsJLxc1IhPzsa9n+zC59vOQcvWu2q7efKE0ZiySRR/HruKghLu42spxWVjRTVq2+opYrCjOi/b9Berk8yVEFFVSJKE+zrUx8ZpfdC/VQBKdHq8H3MSo7/Yi7PpeXKXV6dk3zR5wqhrY1808nNFfokOf8WnylWa3bu5xc6W2FY1doazYq2jvMVOfZcjiciWBHpq8PX4zpg7JgIeGhWOJGVh6Cc7sXjHeej0/J1ZFcYxdp43/f6TJAmjjWvaxXKLMUthi50DqrDzBH9HWQyDHVHdJUkSRndqgI3T+qBPi3oo0erx7voTGPvlXtMyRlS58uVOKvZYjOrUAJIE7DufictlWy6SeRWzxY7IMhjsiOq+YC8XLJ3QBbMfaAc3JyUOXbqBIQt24LvdF6Bn612lcgpvHWMHACHeLujVzB8AsIpr2lkEW+wcUMWuWLKUzHzDGDsGO6K6TZIkPNS1ITZM64MeTf1QVKrHm38k4qHF+9jqVAnjXrG3+/1n3Ini19grDMcWYNwmjy12DooLRVqGXi+w/dQ1AEDrYE+ZqyEic2jg44plE7vh7ZFt4KJWYv+FTAxesAPL9l3i79KblGj1yC8xhIubJ08YDWoTBA+NCslZhdh7/rq1y7N7RaVssSMyu0OXbuBqdhE8nFW4p2U9ucshIjNRKCQ8FhWGDS/2QdfGvigo0eG13xPw2DcHkJxVKHd5NsE4DEWSAA/NrcFOo1ZiREQIAGDlIU6iMDe22DkgdsVa3pojyQAM2xbZ2l9NRFR7Df1csXxyd7xxbzg0agV2nc3AoPk7sOLgZYdvvTMGO0+NGkrF7RfIHdM5FADwV0IqcopKrVabI2CLnQPirFjLKtHqsS4+BQAwMrK+zNUQkaUoFBKe7NUY66f2RqdGPsgr1uLVX+PxxLcHkZLtuK13xjU87zS+OKKBF5oHuKNYq8efR1OsVZpDYIsdkZntOnsNWQWl8Hd3RlRTP7nLISILa1LPHb88HYWZQ1vBSaXA9tPXMHD+DvzqoBveG9ewu934OiNJkjCmM9e0swRji50zW+wcR4Wt4xzvd47FrTlyFQAwPCK40m4IIrIvSoWEp/o0xfqpvRDRwAu5RVq8tPIoJn9/COm5RXKXZ1VVXerpvg71oVRIOHw5C2fTuS+vubDFzsFx5wnzKijRYuPxNADshiVyRM0CPPDrsz3w78Et4aRU4O8T6Rg4fwfWHEl2mNY7Y4vd3YJdgIcG/coml62M5Zp25sIxdg6IbUiWsykxDYWlOjTyc0VEAy+5yyEiGaiUCjx3TzP88a9eaFvfE1kFpXhh+RE8uywOGXnFcpdncVm32Se2MqM7GSZRrI5Lhlant2hdjoItdg5Ikjh5wlLWlnXDjowIqXCeicjxtAzywG/P9cS06BZQKSTEHE/FwPk7sD7evicLZJctTuzt4nSXI4H/axUAXzcnXMstxo4z1yxdmkMoH2NnW1HKtqqxY8x15nMjvwTbTxt+MY2IDJG5GiKyBWqlAi9EN8eaKT3RKsgDmfkleO7HOEz5KQ43ynansTfZ1Wixc1IpcF/ZsJWVh9gdaw6mLcVU7Iqt1KJFixAWFgaNRoNu3brhwIEDlR67evVqdO7cGd7e3nBzc0NkZCR++OEHK1Z7d2xHsoz1CSnQ6gXCgz3RLMBD7nKIyIa0CfHC2im98K//awalQsKfx1IwYP4ObDyeKndpZmfsivWs4naKxtmxf59IM23FSDVXVFrWFcsWu9tbsWIFpk+fjlmzZiEuLg4REREYNGgQ0tPTb3u8r68v/vvf/2Lv3r04duwYJkyYgAkTJmDDhg1WrrxyFRYoZl+s2Ry4kAkAGNI2SOZKiMgWOakUeGlgS/z2XA80D3BHRl4xnvohFtNWHEF2gf0s0mta7qSKwa51sCfa1vdEqU6YFnenmmOL3V3MmzcPkydPxoQJExAeHo4vvvgCrq6uWLJkyW2Pv+eee3D//fejdevWaNq0KV544QW0b98eu3btsnLlVcNYZz7pOYZB0Q39XGWuhIhsWfsG3vjjX73wTN+mUEjAb4eTMWD+dmw5mSZ3aWaRY+qKvfsYO6MxZZMo2B1be2yxu4OSkhLExsYiOjradJ9CoUB0dDT27t171+cLIbB582acOnUKffr0sWSp1cJB/ZZxrWy2Wz13Z5krISJbp1Er8Z8hrbDq2R5oUs8N6bnFePK7Q3hl5dE6v8VWVhXXsbvZyMgQOCkVSEzJwfGr2ZYqzSGwxe4OMjIyoNPpEBgYWOH+wMBApKZWPi4iOzsb7u7ucHJywrBhw7Bw4UIMGDCg0uOLi4uRk5NT4WIt7Ik1n2u5ZcHOg8GOiKqmY0MfrJ/aG5N6NYYkGdZzGzR/B3acrpszRPV6gSzjrNgqTJ4w8nZ1woBww3ctW+1qp5gtdubn4eGBI0eO4ODBg3j33Xcxffp0bNu2rdLjZ8+eDS8vL9MlNDTUarVygWLzKNbqTDPBGOyIqDo0aiVeuzccvzwdhUZ+rkjJLsLjSw5gxup45BVr5S6vWvJKtNCXfa1Up8UOAEaXTaJYcyQZJVquaVdTphY7LlB8K39/fyiVSqSlVRz3kJaWhqCgygfIKxQKNGvWDJGRkXjppZcwevRozJ49u9LjZ8yYgezsbNMlKcny++axN9a8rucZ/kJVK6Vq/zIjIgKALmG++OuF3niiRxgA4OcDlzFo/g7sOZshb2HVYJwEolErqh0s+jSvh0BPZ9woKMXmE/Yx3lAOpjF29rJA8aRJk3Dy5EnT7aNHj+Lnn3/G5cuXq/1aTk5O6NSpEzZv3my6T6/XY/PmzYiKiqry6+j1ehQXV77auLOzMzw9PStcLM2U69hgZxbGblh/d2eOYSSiGnN1UuHNEW3w8+TuaODjguSsQjz89X68sSYBBSW233pX1X1ib0epkPBAR0OrHbcYqzm7a7HbsWMHWrVqBcAQ6nr27IkffvgB/fr1w9atW6v9etOnT8fixYuxdOlSnDhxAs8++yzy8/MxYcIEAMDjjz+OGTNmmI6fPXs2Nm3ahPPnz+PEiRP46KOP8MMPP+DRRx+t6UeyKOY68+D4OiIyp6imfoh5sQ8e6dYQAPD93ksY/PFO07JKtqp8qZOqz4i92ZhOhmC37VQ60nKKzFaXI7HVFjtVTZ/o5VW+P+eSJUswYcIELFy4EBcuXMDjjz+OnTt3Vuv1xo4di2vXruGNN95AamoqIiMjERMTY5pQcfnyZSgU5ScvPz8fzz33HK5cuQIXFxe0atUKy5Ytw9ixY2v6kSxCkiTOnDAjzoglInNzd1bh3fvbYXDbILy66hguZxZg7Fd7MaFHY7wyqCVcnGyrRQa4qcWuGhMnbtaknjs6NfJB7KUbWB2XjGfvaWrO8hyC3bXYhYaG4u+//0ZBQQFWr16N0aNHAwAaN26M/Pz8Gr3mlClTcOnSJRQXF2P//v3o1q2b6bFt27bhu+++M91+5513cObMGRQWFiIzMxN79uyxuVAHlHfFMtuZRwZb7IjIQno3r4eYaX0wtnMohACW7L6AYZ/sROylG3KXdovMfMPvQp8aBjugvNVuZWwSF9GvJq1OD13Z7BVba7GrcTWffPIJ3nzzTfj4+KB58+bo27cvAECr1SI3N9dsBdoLzoo1D1OLHYMdEVmAp0aN90e3x7cTuiDQ0xnnM/Ix5os9mL3+hKnrzRZczTZ0nwZ7udT4NYa1D4ZGrcD5a/mIu5xlpsocQ9FNs4ntpsWuQYMG2LVrF3JycrBlyxbT/Vu2bME999xjjtrsAsf3mxfH2BGRNfRrGYCNL/bFAx3rQy+AL3ecx70Ld+FoUpbcpQEAUrIKAQDBXpoav4aHRo2h7YIBAKtiLb9KhD0pvinkOyntpMXunXfeAWCYaXqzgQMHYvHixbWryo5IZZ2xbOU2j5tnxRIRWZKXqxrzHozE4sc7w9/dGWfT8/DA53vw4YaTKNbK23pnarHzrnmLHVC+xdgfR1NQWGI7LZK2zthi56RSQKGwrRacWs2K/eabb265X6/XV5i9SgbMdVWXlFmAfnO3Yemei6b7Eq/mILeolF2xRGR1A8IDsWlaH4yICIFOL7Bo6zmM/HQ3EpLl25IrJdvQYhdSixY7AOjW2Behvi7IK9Yi5niKOUpzCMU2OiMWqEWw+/XXX/HVV1/hjz/+MN135coV9O7d+47bgDkc2wrydcLsv07gQkY+Zq09DgDYczYDQz/ZiVdWHivvimWLHRFZkY+bEz55qAM+f6Qj/NyccDI1F/ct2o2P/z6NUp11d2/Q6wVSzdRip1BIGN3R0GrHLcaqrqjU8P/c2cb2iQVqEew8PDywdu1azJw5E3v27MHatWvRu3dvPPfcc/j222/NWWOdVj4rlm12VTF9xRGsj6/4h8HCLWcBADHHU1FQ1lXAFjsiksOQdsHYOK0PhrYLglYv8PHfZzDy0904kWK9vccz8otRqhNQSECgGX4XjupUH5IE7Dl3HUmZBWao0P4Zu+I1NrZPLFCLYPfaa69h69atePvttzF27FjMnj0bW7ZswSOPPGLO+uwGc93dZeQVY/Xh5Ar3bT6RhtR/LJ7p6qSEm3ONl2AkIqoVP3dnLHq4IxY+1AHermokpuRgxKe78OmWM9BaofUuJcvwOzHAQwOVGQbuN/BxRY+mfgCAX+PYalcV5S12dhTs/Pz8sGnTJsyePRtZWVnIzMzEjBkz8M477+D33383Y4l1G2fFVt3u2+zTOHHpIVzIqLguIlvriEhukiRheEQINk7rg+jWgSjVCczdeBoPfL4HZ9Isu+SXcXxdsHftxtfdzDiJYlXsFej1bIm4E61Oj2X7LgEAfFxrtvOHJdU42E2bNg3ffPMN9u/fj9zcXMTExOCRRx6BUqnEqlWrzFkjOYjbBbvb4YxYIrIVAR4aLH68E+aPjYCnRoVjV7IxbOEufLn9nGkBW3O7WtZiF1KLNez+aVCbIHg4q3DlRiH2Xbhutte1N3q9wL9/PYZ18SlQKyW8EN1c7pJuUa1gt3nzZnTv3h0ajQYeHh7o0qUL3n//feTm5qJx48YYPnw4ZsyYgWXLllmq3jqHy51U3d7zVftlEuRpvr9SiYhqS5Ik3N+hATZN74t+LeuhRKvH7L9OYvQXe3DuWp7Z38/UYlfLGbE3c3FS4t6IEADAKk6iuC0hBF5fk4DVcclQKiR8+nBH9G5eT+6yblHlYLd//34MGTIEzs7OeO211/D666+jffv2mDt3Ltq2bYtjx45Zss46i12xVZNdUIqkzELT7X+OWwj1Lf/L1Jy/zIiIzCXQU4MlT3TBB6Pbw8NZhcOXszB0wU58vfO8Wbs3zbWG3T+N6WzYYmx9Qgpyi0rN+tp1nRAC76w7gR/3X4YkAfMejMCgNkFyl3VbVR6B/sEHH2DkyJFYuXJlhfsLCgrw9NNPY9iwYYiPj4e3t7e5a7QL3FLszhL/MaMsunUgujb2NS150r2xH5IyDX9FmvuXGRGRuUiShAc7h6JnM3/859dj2HkmA++sO4GNx9Pw4Zj2aOTnVuv3MMeuE7fTIdQbTeu54dy1fKw7loJxXRua9fXrsnmbTuObXRcAAO8/0B4jI+vLXFHlqtxit3fvXkyZMuWW+11dXbF06VI0aNAAX3zxhVmLswfly53IWobN+2ewm9S7MR6PaoQXo5vji0c7wV1T/jdIbRfkJCKytPreLvj+ya547/52cHNS4sDFTAz+eCe+33ux1q13KaZ9Ys37u1CSJIzpXLamXSy7Y40WbT1rWnbrfyPa4MEuoTJXdGdVDnbXrl1D48aNb/8iCgVeeOEFrFu3zmyF2QuJfbFVknjVEOyevacptr9yDzo09IEkSXgxugUGtw2C+qYp/UEMdkRUB0iShIe7NUTMi30Q1cQPhaU6vLHmOB75en+N14vT6vRIK1sCKsQCvRcPdKgPpUJC7KUbFhkfWNcs2XUBH244BQCYMaQVxvcIk7egKqhysNPpdNBoKv9C7dSpE06dOmWWouwRG+zuzNhi17Ghz127Kizxy4yIyFJCfV3x46Ru+N+INnBRK7H3/HUM/ngHftp/udqL16fnFkMvAJVCssgKAQGeGvRtYZgQsMrBW+1+PnAZb/2ZCAB4oX9zPN23qcwVVU21ZsV+//332L9/P4qKim55zNPTE1lZWeaqy25w54m7K9HqcTbdsO5TeIjnbY+5nldius7lToiorlEoJIzvEYa/XuiNLmE+yC/RYeZv8Xh8yQFczSq8+wuUMc6IDfTUQGmhzefHdDJMolgdd8ViS7bYut8OX8HM3+IBAE/3aYIXbXBZk8pUOdj17t0bb7/9NqKiouDp6Yl27drhiSeewCeffILdu3cjNzcXOp3OkrXWScaeWMf8p1E1Z9JzUaoT8HJRVzp+Lj23/I8JS/0yIyKytDB/N6x4Kgqv3xsOZ5UCO89kYND8HfjlYFKVGgBMa9iZcXHif+rfOhA+rmqk5RRjx5lrFnsfW7U+PgUv/XIUQgCPRzXCf4a0qlPDqqo8K3b79u0AgDNnziA2NhZxcXGIi4vD2rVrkZWVVac+tDUpFMZ17BjtKnO8bHxdeLBnpT9H6TnF1iyJiMhiFAoJE3s1xj0t6+HllUdx+HIW/v3rMfyVkII5o9oj8A5rdZavYWe5ISlOKgVGRtbHd3suYtWhK+jXMsBi72VrtpxMw9SfD0MvDC2Xbw5vU+fyTbU33GzevDmaN2+OcePGme67cOECDh06hMOHD5u1OHugKPuBcNDW7CoxTpyorBsWAHzdbG/bFiKi2mhazx2rnumBxTvPY97G09h66hoGzNuO/41sg/si6982UBhb7My5ndjtjOncAN/tuYhNiWnIKiiBtw1unWVuu89m4JllcdDqBYZHhGDOqPamxpm6xCy71zZu3BhjxozBe++9Z46XsyvGnwk9W+wqZZw4ER5cebCb/UA79G8VgFXPRFmrLCIii1MqJDzTtynWTe2F9g28kFOkxbQVR/HUD7EVhqAYGVvszLmd2O20CfFCeLAnSnR6rDly1aLvZQsOXszEpKWHUKLVY0B4IOY9GFFnh/2YJdhR5TLKBv0Xl+plrsQ2CSFwogotdmH+bvjmiS7oHOZrrdKIiKymeaAHVj/bA68Magm1UsKmxDQMnL8Da49erTCUx1Jr2N2OcSeKlbFJFn8vOR1NysKEbw+isFSHPi3q4dOHO1RYYquuqbuV1zE3CkrufpADunKjELnFWjgpFWgW4C53OUREslEpFXi+XzOsndIL4cGeyCooxdSfD+P5n+JwPc8wzrh88oTll30aGVkfaqWEhOQcnPjHIvL24kRKDh5fcgB5xVp0b+KLLx/tBGeVUu6yaoXBzsL8ysaG+TjA+ISaME6caBHkXqf/QiIiMpfWwZ5YM6UnXujfHCqFhPXxqabWu4yygGeNFjtfNydEtw4EAKw8ZH9r2p1Nz8OjX+9HdmEpOjT0xtfju8DFqW6HOoDBzuJcnQ0/JDqOsbutqoyvIyJyNGqlAtMGtMDvz/dEqyAPXM8vwdSfDRMUnVUKq00oM3bH/n4kGSVa+xlSdOl6Ph75eh+u55egTYgnvpvQFe7O1Z5PapMY7CxMpTCc4truDWiPzqbn4pPNZwAw2BER3U7b+l5YM6UnpvRrZhrMH+ylsdoSHH2a10OAhzMy80uw5WS6Vd7T0q5mFeLhxfuRllOMFoHu+GFiN3i5qOUuy2wY7CzMOKlGy2BnciO/BM//GIfoeTtM94WHeMlYERGR7XJWKfHyoJZY/WwP9G7uj6f6WG9rK5VSgfs71gcArLKDSRTpuUV45Ov9SM4qRGN/Nyyb1M3ultNisLMw419YbLErN/O3eKyLT6lwX6tgD5mqISKqGyJCvfHDxG54uFtDq77vmE6hAICtp67ddgmWuiIzvwSPfr0fFzLyUd/bBT9O6oYAD8uPVbQ2BjsLU5Z1xXKMXbnbNed7auynGZyIyJ40C3BHh4be0OkFfj+cLHc5NZJdWIrHvtmP02l5CPR0xs+Tu1tlZrEcGOwszDjRk12x5Rr7u8ldAhERVYOx1W7loSt1bovMvGItnvj2AI5fzYGfmxN+nNQdDf1c5S7LYhjsLEwpsSv2ZlqdHucz8ivct/ChDjJVQ0REVXFvRDA0agXOpOfhSFKW3OVUWWGJDpOWHsThy1nwclFj2aRudr9mKoOdhRnH2LHFzuBSZkGFKfMtAt0xPCJExoqIiOhuPDVqDG4TBABYGVs31rQr1urw9LJY7DufCXdnFb5/sitaO8AKDAx2FsbJExWdScs1Xe/Q0BufPtxRxmqIiKiqxnQ2dMf+cfQqikp1MldzZ6U6Pf7102HsOH0NLmolvp3QBRGh3nKXZRUMdhZmDHacPGEY5/DMsjgAwOhODfDbcz3RIpCzYYmI6oKoJn6o7+2C3CItNhxPlbucSun0AtN/OYqNiWlwUinw9fjO6OJA+4wz2FmYKdixxQ4/7rtkuh7VxE/GSoiIqLoUCgmjOhl2orDVLcb0eoH//HoMfxy9CrVSwhePdkTPZv5yl2VVDHYWppAY7IzOXyufNDGwTaCMlRARUU2MKQt2u89lIDmrUOZqKhJC4M0/jmNl7BUoJOCTcR3wf60c77uGwc7CVGyxM4lPzgYAfPFoR3hw3Toiojon1NcV3Zv4QgjgVxuaRCGEwJy/TuL7vZcgScBHD0ZgSLtgucuSBYOdhbEr1qCoVIfTZRMn2tbn9mFERHWVcU27VbFXbGZi4ILNZ/DljvMAgPfub4f7OzSQuSL5MNhZmDHYldrID79cTqXmQqsX8HFVo76drvZNROQIhrQLgruzCpczC3DgYqbc5eCL7efw8d9nAABv3BuOh7pad8s1W8NgZ2Hqsq0ntDr9XY60b8Zu2Lb1vSCVjTskIqK6x9VJhWFl3ZxyT6JYuuci5vx1EgDwyqCWeLJXY1nrsQUMdhZWHuwcu8UuoSzYtWM3LBFRnfdgF0NX5/r4FOQVa2Wp4ZeDSZi19jgA4F//1wzP92smSx22hsHOwtRKQ+tUCVvsADDYERHZg44NfdCknhsKS3VYfyzF6u8fk5CCV1cfAwBM6tUY0we0sHoNtorBzsLYYmfY1oUTJ4iI7IckSRhtXNMuNsnq7//hhlMQAni4W0P8d1hrDvG5CYOdhRmDXakDt9idSs1FqU7A21WNBj6cOEFEZA9GdWwAhQQcvHgDFzLy7/4EMzl/LQ/nruVDpZDwnyGtGOr+gcHOwoxdsaV6xw12N3fD8h8gEZF9CPTUoE+LegCAVVZstdt8Ih0A0L2JHzy5JuotGOwsTGVssdM6blcsJ04QEdkn45p2v8YmW2291k0n0gAA0a0DrPJ+dQ2DnYWdS88DAOw4c03mSuTDiRNERPYpOjwA3q5qpOYUYdfZDIu/3438EhwqWzuvf2vH2y6sKhjsLMzYWnW2LOA5mmKtDqdSOXGCiMgeOauUGBkRAgBYecjy3bFbT6VDL4BWQR4I9XW1+PvVRQx2FvZ4jzAAwL3tHXPPutOpeZw4QURkx8Z0NnTHbkxMQ3ZBqUXfa1OioRt2YDhb6yrDYGdhTmVj7K7lFstciTw4cYKIyL61CfFEqyAPlGj1WHs02WLvU1Sqw/bThmFN0Qx2lWKws7Ctpwyzd/ZfkH8/PTncvJUYERHZH0mSTK12K2Mtt8XYvvPXUVCiQ6CnM9qG8DulMgx2Fta3bCq4o+KMWCIi+3dfZAhUCgnHrmSbxlWb299ls2H7tw6EQsEeoMow2FmYcXBnh4be8hYigxKt3vQPnMGOiMh++bk7o3/Z8iOWmEQhhMDfiYYesAGcDXtHDHYWplErAQBFpY63QPHptFyU6PTwcuHECSIie2dc0+73I8lm320pITkHqTlFcHVSIqqpn1lf294w2FmYS1mwKy7VyVyJ9R2/ahxf58mJE0REdu6elvXg7+6MjLwSbD2ZbtbXNi5K3Kd5PVODCd0eg52FadSGU1zkgMEuITkHADjIlYjIAaiUCjzQsT4A80+i+LtsmRPOhr07BjsLM/5lUeiIwa6sxS48xFPmSoiIyBrGdGoAANh6Mh0ZeeZZ5is5qxCJKTlQSEC/lo49IbEqGOwsTKNyzDF2Wp0eJ1LKWuw4cYKIyCE0D/RARKg3tHqB3w+bZ027zWXdsJ0a+cDP3dksr2nPGOwszNQVq9VBCOtskGwLzmfko6hUDzcnJRr7ucldDhERWYmx1W7loStm+d4z7jYRzdmwVcJgZ2EaJ0OLnRBAiZlnCdmyxKuG1rrWwZ5cb4iIyIEMjwiBs0qBU2m5pkXqayqnqBT7zl8HwPF1VcVgZ2HGrljAsbpjL10vAAA09mdrHRGRI/FyUWNQmyAAhla72thx+hpKdQJN6rmhaT13c5Rn92wq2C1atAhhYWHQaDTo1q0bDhw4UOmxixcvRu/eveHj4wMfHx9ER0ff8Xi5qJXlrVVXbhTIWIl1nUk3LEzcNID/EImIHM2Yzobu2DVHkmu1KoRxNiwXJa46mwl2K1aswPTp0zFr1izExcUhIiICgwYNQnr67dfC2bZtGx566CFs3boVe/fuRWhoKAYOHIjkZMttQFwTN6/fpnCgtdxOpxmCXctAD5krISIia+vR1B8hXhrkFGmxsSycVVepTo8tZevhsRu26mwm2M2bNw+TJ0/GhAkTEB4eji+++AKurq5YsmTJbY//8ccf8dxzzyEyMhKtWrXC119/Db1ej82bN1u58qrbeeaa3CVYRalOjwsZ+QCA5oFssSMicjRKhYRRpkkUNdti7NDFG8gp0sLHVY2ODX3MWZ5ds4lgV1JSgtjYWERHR5vuUygUiI6Oxt69e6v0GgUFBSgtLYWvr2+lxxQXFyMnJ6fCxZqM+9zZuys3ClGqE3BRKxHixa3EiIgc0eiyYLfrbAauZhVW+/l/ly1z8n+tAqHkJLwqs4lgl5GRAZ1Oh8DAik2tgYGBSE1NrdJrvPrqqwgJCakQDv9p9uzZ8PLyMl1CQ0NrVXd1nc/Is+r7yeVC2eds5OfKGbFERA6qkZ8bujb2hRDA6rjqTaIQQpiWORkQHmCJ8uyWTQS72pozZw6WL1+O3377DRqNptLjZsyYgezsbNMlKalmzcM1lZFXYtX3k8uFDM6IJSKi8jXtVsVWb027M+l5uJxZACeVAr2bc7eJ6rCJYOfv7w+lUom0tIoDLNPS0hAUFHTH586dOxdz5szBxo0b0b59+zse6+zsDE9PzwoXMr9L1w3j68IY7IiIHNrQdsFwdVLi4vUCHLx4o8rPM7bW9WzqBzdnlaXKs0s2EeycnJzQqVOnChMfjBMhoqKiKn3eBx98gLfffhsxMTHo3LmzNUqlKrhYtoZdmJ+rzJUQEZGc3JxVGNYuGED1JlEYx9dxNmz12USwA4Dp06dj8eLFWLp0KU6cOIFnn30W+fn5mDBhAgDg8ccfx4wZM0zHv//++3j99dexZMkShIWFITU1FampqcjLc4xxbLbsclmLXSNuJUZE5PDGdDaMZ18Xn4L8Yu1dj0/PLcKRpCwAQP9WDHbVZTPtm2PHjsW1a9fwxhtvIDU1FZGRkYiJiTFNqLh8+TIUivIc+vnnn6OkpASjR4+u8DqzZs3Cm2++ac3S6SZ6vcCVG4bZTw192WJHROTouoT5IMzPFRevF2B9fIop6FVm68l0CAG0b+CFIK/Kx83T7dlMsAOAKVOmYMqUKbd9bNu2bRVuX7x40fIFmclrw1rjnXUn0KeF/Q8ALSjVQas3DJD1dlXLXA0REclNkiSM7tQAczeexsrYK3cNdn+fKFuUmLtN1IjNdMXas1Ophl0Ydpy2/wWKjRMnfN2c4OpkU383EBGRTB7o2ACSBBy4kGn6nqjM2XTDkKouYZWvS0uVY7CzgjYhjjP79vw1wz9YLnVCRERGId4u6NXMH4Bh6ZPKCCGQllMEAAhmN2yNMNhZgY+bk9wlWI0x2DVhsCMiopsYu2B/jb0Cnf72a9rlFWtRUKIDAAR4OlutNnvCYGcFEQ285S7Baoy7azSpxz1iiYio3MDwQHhqVLiaXYQ95zJue0xaTjEAwEOj4nCeGmKws4KbW+yKSnUyVmJZQgjEXjIsQNkqyEPmaoiIyJZo1EqMiAwBAKw8dPvu2PSybtgAD7bW1RSDnRV4asr/6jAOCrVHl64X4MqNQqiVEro25qBXIiKqaEwnQ3fshuOpyC4sveXx9FxDi12gJ8fX1RSDnRVIkmS6frhs0UV7tP/CdQBAh4Y+3AKGiIhu0b6BF1oGeqBYq8cfR6/e8rhx4gSDXc0x2FnZws1n5C7BYk6kGJZ1aVffS+ZKiIjIFkmShDGdGwAAVt5mdqxxjB0nTtQcg52VGZuZ7dGVG4Y9YpvU44xYIiK6vfs61IdKIeFoUhbOpOVWeCwtt6zFzoMtdjXFYGdl4cH2u6bdtbLQGsB/kEREVAl/d2f0axUA4NZWO9PkCbbY1RiDnZU81NUwYNTP3X7XtDO2RtbjbCYiIrqDMZ0M3bGr45JRqtOb7ufkidpjsLOSHacNa/bsPHP7tXvqOp1eICPP2GLHYEdERJXr1yoA/u5OyMgrxvZThu02b951gl2xNcdgZyUPd2sodwkWdfjyDZTqBDw1KgY7IiK6I7VSgfsi6wMAVsYmAQByirQoKjW03rErtuYY7KykY0MfuUuwqB1lLZF9WtSDSskfKyIiujPjFmObT6Tjel6xaXydl4saGrVSztLqNH4DW4mTqvxUJ2UWyFiJZZxNN8xs6mDnAZaIiMyjZZAH2jfwglYv8PuRq6alTgLZWlcrDHZW0rGht+n61zvPy1eIhVzMMITVMD9XmSshIqK6wjiJYuWhJNP4Oq6sUDsMdlZy8+4TS/dekrES8xNC4HJZK2QjP65hR0REVTMioj6cVAqcTM3FllPpADi+rrYY7KjWMvJKkFeshSQBob4ucpdDRER1hJerGgPDAwEA6+NTAHCpk9pisLMiH1e13CVYxLlreQCAUB9XOKs44JWIiKrOOIlCCMPtQK6sUCsMdlb03D3N5C7BIoxbwjQPcJe5EiIiqmt6NfNHsFd5Kx1b7GqHwc6KOoWVzxg9fjVbxkrM60y6ocWuWSCDHRERVY9SIeGBjvVNtwMY7GqFwc6Kbl7Lbu3RqzJWYl7Grthm9RjsiIio+kZ3CjVdD/JisKsNBjuZbD6RLncJZpNVUAqAe8QSEVHNNPZ3w+v3hmNadAvU9+YkvNpQyV2Aozpb1n1pD7ILDcHOQ2Ofk0OIiMjyJvZqLHcJdoEtdlRrN/JLAAB+bk4yV0JEROTYGOys7Pl+TeUuwayKSnXIL9EBAHwY7IiIiGTFYGdl93con/lTWBaI6jLj+DqlQoKnhj37REREcmKws7KmN80cbf1GjIyVmEdKdiEAwMfVqcK2aURERGR9DHZWZm/hZ80Rw7ItHRt6y1sIERERMdhR7RjXsBtQttcfERERyYfBTgZfPdbJdD0ps0DGSmpHCIHTZduJBXtx3SEiIiK5MdjJoH/r8tat3h9slbGS2skuLEVaTjEAoPNN26URERGRPBjsZKBU2Mc4u6NXDPvdOqkUcFbxR4mIiEhu/Da2Aek5RXKXUCNbTxq2Rbu3XbDdTQohIiKqixjsZLL9lXtM1yf/ECtfIbVQrNUDMOzxR0RERPJjsJNJI7/yMHQ0KUu+QmpBpzcEO6WSrXVERES2gMFORk/2LN/w+PElB2SspGZKdQIAoLKTMYNERER1HYOdjJ7q08R0fcfpazJWUn1CCBy6lAkACPVxlbkaIiIiAhjsZBXkpalwe1XsFZkqqb7TaXlIyiyEi1qJe1oGyF0OERERgcFOdolvDTJdf3nlURkrqZ7zZTtOtAh0h4uTUuZqiIiICGCwk52rk6rCbZ1eyFRJ9ew6mwEAaFPfS+ZKiIiIyIjBzgZ8edMWY++uOyFjJVUjhMCWsjXsoluzG5aIiMhWMNjZgEFtgkzXl+y+AL2Nt9qlZBchJbsIKoWEHk395S6HiIiIyjDY2Ygm9crXtWsyc72MldxdRp5hf9h6Hs7QqDm+joiIyFYw2NmILS/dI3cJVWZav44LExMREdkUBjsb9d3uC3KXUKm95wwTJ5xVbK0jIiKyJQx2NuTorIGm62/+kShjJXeWkJwDAOjVjOPriIiIbAmDnQ3xclFXuL3lZJpMldxZfokWANCOS50QERHZFAY7G/P2yDam609+dwh5xVoZq7m9ghIdAMDNWXWXI4mIiMiaGOxszGNRYRVu/7T/kjyF3EF6bhEAwM2ZY+yIiIhsCYOdDTrz7hDT9ffWn5SxkltdzSpEUmYhACDE20XmaoiIiOhmDHY2SK203f8taTmG1jpvVzWa1nOXuRoiIiK6me0mCAc378EI0/WsghIZK6nIuIadr6uTzJUQERHRPzHY2ajBbcu3GXvwy70yVlLRhYw8AICTij86REREtobfzjbK1al8xunptDwZK6no4MUbAICmAeyGJSIisjUMdnVEdkGp3CUgNbsIq2KvAAC6N/GTuRoiIiL6JwY7G3ZxzjDT9R5zNstYicGcv06Yrkcx2BEREdkcBrs6Ir9Eh8x8eSdRxCdnAwBaBXmgaT03WWshIiKiWzHY1SEd394k6/snZxnWr/vysU6QJEnWWoiIiOhWNhXsFi1ahLCwMGg0GnTr1g0HDhyo9Njjx49j1KhRCAsLgyRJ+Pjjj61XqBWdf29ohdtv/5koSx1CCBRr9QAAFzV3nCAiIrJFNhPsVqxYgenTp2PWrFmIi4tDREQEBg0ahPT09NseX1BQgCZNmmDOnDkICgq67TH2QKGQsPq5Hqbb3+y6IEsdBSU6CMMSdvDQqGWpgYiIiO7MZoLdvHnzMHnyZEyYMAHh4eH44osv4OrqiiVLltz2+C5duuDDDz/EuHHj4OzsbOVqratjQ58Kt2/IMNYup8gwK1chARq1zfzYEBER0U1s4hu6pKQEsbGxiI6ONt2nUCgQHR2NvXvNtzhvcXExcnJyKlzqioT/DTJd7yDDWLvv9lwEADTwceX4OiIiIhtlE8EuIyMDOp0OgYGBFe4PDAxEamqq2d5n9uzZ8PLyMl1CQ0PN9tqW5u6sqnC7pGy8mzWk5xThy+3nAQB+7txKjIiIyFbZRLCzlhkzZiA7O9t0SUpKkrukanmoa0PT9W2nbj/20BKMy5wAwJLxXaz2vkRERFQ9NhHs/P39oVQqkZaWVuH+tLQ0s06McHZ2hqenZ4VLXTL7gXam61tOWi/YGbc0G9YuGD5ubLEjIiKyVTYR7JycnNCpUyds3ly+u4Jer8fmzZsRFRUlY2W2a/lB67U2pmYb1q9r7M9FiYmIiGyZ6u6HWMf06dMxfvx4dO7cGV27dsXHH3+M/Px8TJgwAQDw+OOPo379+pg9ezYAw4SLxMRE0/Xk5GQcOXIE7u7uaNasmWyfw9K6NfbF/guZAAC9XkChsPxEht8OJwMA3DU28+NCREREt2ETLXYAMHbsWMydOxdvvPEGIiMjceTIEcTExJgmVFy+fBkpKSmm469evYoOHTqgQ4cOSElJwdy5c9GhQwdMmjRJro9gFS8NbGm63mTmequ8Z06RFgDg5sSFiYmIiGyZTTXBTJkyBVOmTLntY9u2batwOywsDMK4Yq4D+Wd36E/7L+Phbg0rObr2SnXls28HtbHfhaCJiIjsgc202FHV1POouBjzzN/ikVu2eLAlXM4sAABIEuDLiRNEREQ2jcGuDro4Z1iF28/9GGex9zpQNp6vU0MfqJT8cSEiIrJl/Kauo5Y80dl0feeZDIu9T1JZi13r4Lq1NAwREZEjYrCro/q1DKhw+/u9Fy3yPqdScwEA/u72vR8vERGRPWCwq6MkScKEnmGm22+sOW6R90nJLgIAtA72sMjrExERkfkw2NVhrw8Lt/h7ZOaXAACCvDQWfy8iIiKqHQa7OkyhkNC+gZfpdlZBiVlf/3peMdJyDS12wV4uZn1tIiIiMj8Guzru04c6mq5HvrXJrK/994k0CAG0re95yzIrREREZHsY7Oq4hn6uFnvtTYnpAIABrbkwMRERUV3AYGcHJvVqbLqu15tnN46iUh12nb0GAIgOD7jL0URERGQLGOzswPX88rF15to/dvfZDBSV6lHf2wXhXMOOiIioTmCwswNjOjUw+2v+fSINABDdOgCSJJn99YmIiMj8GOzsQFRTvwq3hahdd6xWp8emREOw6986sFavRURERNbDYGcH/tmi9uyy2u0de+BCJjLySuDjqr4lNBIREZHtYrCzExun9TFdjzmeWqtWu79PGGbD9m8dCLWSPyJERER1Bb+17USLwIpbft0oKK3R6+j1AuvjUwAAA8PZDUtERFSXMNjZkagm5d2mn2w+U6PXOJ2ei9ScIjgpFejbsp65SiMiIiIrYLCzIz8/1d10/bs9F2v0GuuOGVrropr6wVmlNEdZREREZCUMdlSBsRs2mt2wREREdQ6DnR3LruY4u6tZhTh3LR8AMKQttxEjIiKqaxjs7EzXxr6m66k5RdV67tKy7tuGvq7wd3c2Z1lERERkBQx2dubN4W1M10t1+io/TwiBP8vG142ICDF7XURERGR5DHZ2JjykfF/XveeuV/l56+JTkJxVCBe1Es/1a2qJ0oiIiMjCGOzs2LvrT1TpuNyiUkz56TAAoH/rALg6qSxZFhEREVkIg52dq8oOFO/HnDRdZzcsERFR3cVgZ+eyqjAzdlXsFdP1gW04G5aIiKiuYrCzQwNuWoNu2+n0Ox4be+kGikoNkyzeua+tResiIiIiy2Kws0MfPRhhuj5txdE7Hjvq8z2m68PaBVusJiIiIrI8Bjs75KlRV+m4v8p2mQAMrXw+bk6WKomIiIisgMHOAZRob13PTgiBZ3+MM93+6rFO1iyJiIiILIDBzk71auZvup5VUHLL459uOWu63rSeGyRJskpdREREZDkMdnZq4UMdTNcvXc+v8NjmE2n4aNNp0+2/p/e1Wl1ERERkOQx2durm8XKTlsZWeGzi0kOm60PaBrG1joiIyE4w2DmAkjvsGfvZIx2tWAkRERFZEoOdg2n9eozp+tInu7K1joiIyI4w2NmxVwa1vOPjfVvUs1IlREREZA0Mdnbs6T5NKn3s5lmzREREZB9UchdAlqNS3j63r36uBzo29LFyNURERGRpDHYOZse/+6FeEEMdERGRPWJXrJ3bOK1Phdv1PJxlqoSIiIgsjcHOzrUI9MCJtwfLXQYRERFZAYMdERERkZ1gsCMiIiKyEwx2RERERHaCwY6IiIjITjDYEREREdkJBjsiIiIiO8FgR0RERGQnGOyIiIiI7ASDHREREZGdYLAjIiIishMMdkRERER2gsGOiIiIyE4w2BERERHZCQY7IiIiIjuhkrsAOQkhAAA5OTkyV2Jh+fnl13NyAJ1OvlqIiIioWow5xZhb7sShg11ubi4AIDQ0VOZKrCgkRO4KiIiIqAZyc3Ph5eV1x2MkUZX4Z6f0ej2uXr0KDw8PSJJkkffIyclBaGgokpKS4OnpaZH3qCt4Lgx4HsrxXBjwPJTjuTDgeSjHc2FoqcvNzUVISAgUijuPonPoFjuFQoEGDRpY5b08PT0d9gfyn3guDHgeyvFcGPA8lOO5MOB5KOfo5+JuLXVGnDxBREREZCcY7IiIiIjsBIOdhTk7O2PWrFlwdnaWuxTZ8VwY8DyU47kw4Hkox3NhwPNQjueiehx68gQRERGRPWGLHREREZGdYLAjIiIishMMdkRERER2gsGOiIiIyE4w2JnBokWLEBYWBo1Gg27duuHAgQN3PH7lypVo1aoVNBoN2rVrh/Xr11upUsuqznk4fvw4Ro0ahbCwMEiShI8//th6hVpBdc7F4sWL0bt3b/j4+MDHxwfR0dF3/RmqS6pzLlavXo3OnTvD29sbbm5uiIyMxA8//GDFai2nur8njJYvXw5JknDfffdZtkArqs65+O677yBJUoWLRqOxYrWWU92fiaysLDz//PMIDg6Gs7MzWrRo4ZDfH/fcc88tPxOSJGHYsGFWrNiGCaqV5cuXCycnJ7FkyRJx/PhxMXnyZOHt7S3S0tJue/zu3buFUqkUH3zwgUhMTBSvvfaaUKvVIj4+3sqVm1d1z8OBAwfEyy+/LH7++WcRFBQk5s+fb92CLai65+Lhhx8WixYtEocPHxYnTpwQTzzxhPDy8hJXrlyxcuXmV91zsXXrVrF69WqRmJgozp49Kz7++GOhVCpFTEyMlSs3r+qeB6MLFy6I+vXri969e4uRI0dap1gLq+65+Pbbb4Wnp6dISUkxXVJTU61ctflV9zwUFxeLzp07i6FDh4pdu3aJCxcuiG3btokjR45YuXLzq+65uH79eoWfh4SEBKFUKsW3335r3cJtFINdLXXt2lU8//zzpts6nU6EhISI2bNn3/b4Bx98UAwbNqzCfd26dRNPP/20Reu0tOqeh5s1atTIroJdbc6FEEJotVrh4eEhli5daqkSraa250IIITp06CBee+01S5RnNTU5D1qtVvTo0UN8/fXXYvz48XYT7Kp7Lr799lvh5eVlpeqsp7rn4fPPPxdNmjQRJSUl1irRamr7e2L+/PnCw8ND5OXlWarEOoVdsbVQUlKC2NhYREdHm+5TKBSIjo7G3r17b/ucvXv3VjgeAAYNGlTp8XVBTc6DvTLHuSgoKEBpaSl8fX0tVaZV1PZcCCGwefNmnDp1Cn369LFkqRZV0/Pw1ltvISAgABMnTrRGmVZR03ORl5eHRo0aITQ0FCNHjsTx48etUa7F1OQ8rF27FlFRUXj++ecRGBiItm3b4r333oNOp7NW2RZhjt+Z33zzDcaNGwc3NzdLlVmnMNjVQkZGBnQ6HQIDAyvcHxgYiNTU1Ns+JzU1tVrH1wU1OQ/2yhzn4tVXX0VISMgtfwDUNTU9F9nZ2XB3d4eTkxOGDRuGhQsXYsCAAZYu12Jqch527dqFb775BosXL7ZGiVZTk3PRsmVLLFmyBGvWrMGyZcug1+vRo0cPXLlyxRolW0RNzsP58+exatUq6HQ6rF+/Hq+//jo++ugjvPPOO9Yo2WJq+zvzwIEDSEhIwKRJkyxVYp2jkrsAIio3Z84cLF++HNu2bbObAeLV5eHhgSNHjiAvLw+bN2/G9OnT0aRJE9xzzz1yl2YVubm5eOyxx7B48WL4+/vLXY7soqKiEBUVZbrdo0cPtG7dGl9++SXefvttGSuzLr1ej4CAAHz11VdQKpXo1KkTkpOT8eGHH2LWrFlylyebb775Bu3atUPXrl3lLsVmMNjVgr+/P5RKJdLS0ircn5aWhqCgoNs+JygoqFrH1wU1OQ/2qjbnYu7cuZgzZw7+/vtvtG/f3pJlWkVNz4VCoUCzZs0AAJGRkThx4gRmz55dZ4Nddc/DuXPncPHiRQwfPtx0n16vBwCoVCqcOnUKTZs2tWzRFmKO3xVqtRodOnTA2bNnLVGiVdTkPAQHB0OtVkOpVJrua926NVJTU1FSUgInJyeL1mwptfmZyM/Px/Lly/HWW29ZssQ6h12xteDk5IROnTph8+bNpvv0ej02b95c4S/Mm0VFRVU4HgA2bdpU6fF1QU3Og72q6bn44IMP8PbbbyMmJgadO3e2RqkWZ66fC71ej+LiYkuUaBXVPQ+tWrVCfHw8jhw5YrqMGDEC/fr1w5EjRxAaGmrN8s3KHD8TOp0O8fHxCA4OtlSZFleT89CzZ0+cPXvWFPIB4PTp0wgODq6zoQ6o3c/EypUrUVxcjEcffdTSZdYtcs/eqOuWL18unJ2dxXfffScSExPFU089Jby9vU3T8R977DHxn//8x3T87t27hUqlEnPnzhUnTpwQs2bNspvlTqpzHoqLi8Xhw4fF4cOHRXBwsHj55ZfF4cOHxZkzZ+T6CGZT3XMxZ84c4eTkJFatWlVhCn9ubq5cH8Fsqnsu3nvvPbFx40Zx7tw5kZiYKObOnStUKpVYvHixXB/BLKp7Hv7JnmbFVvdc/O9//xMbNmwQ586dE7GxsWLcuHFCo9GI48ePy/URzKK65+Hy5cvCw8NDTJkyRZw6dUr8+eefIiAgQLzzzjtyfQSzqem/j169eomxY8dau1ybx2BnBgsXLhQNGzYUTk5OomvXrmLfvn2mx/r27SvGjx9f4fhffvlFtGjRQjg5OYk2bdqIdevWWbliy6jOebhw4YIAcMulb9++1i/cAqpzLho1anTbczFr1izrF24B1TkX//3vf0WzZs2ERqMRPj4+IioqSixfvlyGqs2vur8nbmZPwU6I6p2LF1980XRsYGCgGDp0qIiLi5OhavOr7s/Enj17RLdu3YSzs7No0qSJePfdd4VWq7Vy1ZZR3XNx8uRJAUBs3LjRypXaPkkIIWRqLCQiIiIiM+IYOyIiIiI7wWBHREREZCcY7IiIiIjsBIMdERERkZ1gsCMiIiKyEwx2RERERHaCwY6IiIjITjDYEREREdkJBjsiIiIiO8FgR0R0Fz///DNcXFyQkpJium/ChAlo3749srOzZayMiKgibilGRHQXQghERkaiT58+WLhwIWbNmoUlS5Zg3759qF+/vtzlERGZqOQugIjI1kmShHfffRejR49GUFAQFi5ciJ07d1Y71G3ZsgWHDx/GSy+9ZKFKicjRscWOiKiKOnbsiOPHj2Pjxo3o27ev3OUQEd2CY+yIiKogJiYGJ0+ehE6nQ2BgYIXHRowYgRdeeAHdu3dHy5YtceDAAYwcORKNGjXCZ599VuG4+Ph4DB06FG+88QZ69uyJJk2aICEhwdofh4jsFIMdEdFdxMXF4cEHH8Q333yD/v374/XXX6/weHx8PNq3b499+/ahf//+eOWVV7Bs2TJs3boV3377rem4kydPolWrVkhISEDDhg2xe/duTJ06FWvWrLH2RyIiO8UxdkREd3Dx4kUMGzYMM2fOxEMPPYQmTZogKioKcXFx6NixI3JzcyGEwMSJE03PmTp1Kjw8PJCeng5PT08AQG5uLjQaDQoLCyFJEiZNmgQAKC0thbe3txwfjYjsEFvsiIgqkZmZicGDB2PkyJH4z3/+AwDo1q0bhgwZgpkzZwIAjh8/ji5dupieEx8fj27dugEAEhIS0K5dO9Nxbdq0QUJCwi3Ht2nTxlofiYjsHFvsiIgq4evri5MnT95y/7p160zXjd2wRleuXEGDBg1MjxmDnfF6QkICIiIiKjzfeAwRUW2xxY6IqBZuDnZJSUkIDQ2t8NjNwa5t27ZISEgwHa/VapGVlQU/Pz/rF05EdonLnRARERHZCbbYEREREdkJBjsiIiIiO8FgR0RERGQnGOyIiIiI7ASDHREREZGdYLAjIiIishMMdkRERER2gsGOiIiIyE4w2BERERHZCQY7IiIiIjvBYEdERERkJxjsiIiIiOzE/wPppiJZ1VThkwAAAABJRU5ErkJggg==\n" 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:keras layer: block5_pool type unknown not found \n", + "INFO:weightwatcher:keras layer: flatten type flattened not found \n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" 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\n" 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HDjBcZGSk7r77brVu3Vrp6en661//qszMTE2dOtXdpcENPvzwQ/34449auXKl5s2bR6gDDMOIHWC4KVOm6JNPPtGRI0dks9l0++23a/r06de98S/MZLPZVKtWLQ0ePFgJCQk39HxdAJUPwQ4AAMAQ3McOAADAEAQ7AAAAQ1SJkyvy8vJ07Ngx1a5dmxN9AQBAtWJZls6dO6eGDRvKw6P4MbkqEeyOHTtWrs9ZBAAAqOwOHz6sxo0bF9unSgS72rVrS7q6Q+X5vEVUcRcuSA0bXv352DGpZk331gMAMNeVC9Kn//d/zgPHJK/y+z8nMzNToaGhjjxUnCoR7PKnX/39/Ql2KNrPn6Dg70+wAwCUnyuekt///ezvX67BLl9JTkfj4gkAAABDEOwAAAAMQbADAAAwRJU4xw6AuXJzc3X58mV3l2EMb29vef78fFMA1QrBDoBbWJaltLQ0nT171t2lGCcwMFAhISHc9xOohgh2ANwiP9QFBQXJz8+PEFIGLMtSVlaWTpw4IUlq0KCBmysCUNEIdgAqXG5uriPU3XTTTe4uxyg1atSQJJ04cUJBQUFMywLVDBdPAKhw+efU+fn5XacnSiP/e+XcRaD6IdgBcBumX8sH3ytQfRHsAAAADEGwAwAAMATBDgBcNHnyZNntdg0dOtTdpQCAE4IdALgoLi5Or7zyij744APt2bPH3eUAgAPBDgBcFBAQoFGjRsnDw0MpKSnuLgcAHAh2AFAKV65ckZ+fn7Zv3+7uUgDAgWAHAKXw3HPP6fz58wQ7AJUKT54A4H6WJWVluWfbfn6Si/d9S05OVkJCgmJiYso82K1du1Zbt27V73//+zJdL4DqgWCHChc2eWWh7Qdmx5R6+ZIui0oqK0uqVcs92z5/XqpZs8Td8/Ly9Oijj2rChAmKiIjQww8/rMuXL8vb27tMyunVq5d69epVJusCUP0wFQsALpg/f75OnTql559/Xu3bt9fly5eVmprq+Lxr167auHGjJGnUqFF69dVXJUn9+/fXxIkT9Ytf/EItW7bUpk2bdP/996tp06Z64403HMv3799fKSkpuueeezRt2jR17dpVzZo1Y8oXQIkQ7AC4n5/f1ZEzd7xceF7t0aNHNXXqVC1YsEA1a9ZUixYtZLfbnULX1KlTNXv2bMXHx8vDw0OTJk2SJKWkpKhDhw76/vvv1bt3bz311FNasmSJvvnmGy1atMixfGpqqlq1aqXt27erSZMm+ve//60nnnhCy5cvL7vvG4CxmIqFEcImr1SNnEva+X/vW09drYs+vkzRVhU2m0vToe7yxBNPqF+/foqJufp75eXlpdatWzsFu759++rZZ5/VypUrtXr1aknSuXPnZFmWRo0a5bSu2rVr68SJE/L393f08/X11cWLF2Wz2TR69GhJ0uXLlxUYGFhBewmgKmPEDgBKYMWKFVq7dq3mzZvn1N6+fXunYLd582adOXNGAQEBjvPuduzYoTvuuMPRJyUlRREREZKk7du3q3379o5+bdu21fbt2wv0b9u2bbntGwBzMGIHACVw77336qeffirQ/u677zp+Pnr0qEaPHq21a9dq4MCB2r59u9q1a+eYhs135MgRNW7cWNLV0JYf7PJ/3r59u2699VZH/5/3AYDiEOxQZm70atWirpYFqoKLFy9q0KBBmj9/vsLDwxUXF6cXXnhBy5YtU0pKinr37i1JOnz4sEJDQx3LpaSkqE+fPo6fo6Ki9M9//tPR/8qVKzp79qxuuummit8pAFUOwQ4AykCNGjW0YcMGx/tBgwZp0KBBkqTXXnvN0R4aGqr169c73i9btszxc36//v37O9q8vLy0f//+cqsbgFk4xw4AAMAQjNjBaCWd3uXqWQCACRixAwAAMATBDgAAwBAEOwAAAENwjh3KFbcwAQCg4jBiBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIrooFilDUFb08pQKTJ0/Wq6++qoEDB2rp0qXuLgcAHFwesVu/fr3uu+8+NWzYUDabTZ9//vl1l1m3bp1uv/122e123XzzzVq8eHEpSgWAyiEuLk6vvPKKPvjgA+3Zs8fd5QCAg8vB7sKFC7r11lu1YMGCEvXfv3+/YmJi1LNnT23btk1PPvmkRo8era+//trlYgGgMggICNCoUaPk4eGhlJQUd5cDAA4uT8X269dP/fr1K3H/hIQEhYeH65VXXpEktW7dWt99951effVVRUdHu7p5AKgUrly5Ij8/P23fvl2/+tWv3F0OAEiqgHPskpKSFBUV5dQWHR2tJ598sshlsrOzlZ2d7XifmZlZXuWhlEx7ooRp+1PlWJaUm+WebXv6STaby4s999xzOn/+vLZv314ORQFA6ZR7sEtLS1NwcLBTW3BwsDIzM3Xx4kXVqFGjwDKzZs3SjBkzyrs0AJVFbpb0US33bPvB85JXTZcWSU5OVkJCgmJiYgh2ACqVSnm7k7i4OGVkZDhehw8fdndJACBJysvL06OPPqoJEyZo+PDh2r17ty5fvuzusgBAUgWM2IWEhCg9Pd2pLT09Xf7+/oWO1kmS3W6X3W4v79IAVBaefldHzty1bRfMnz9fp06d0vPPP69Dhw7p8uXLSk1NVfv27SVJXbt2VXx8vCIiIjRq1Ci1a9dOkyZNUv/+/RUeHq6NGzfqp59+0nvvvaeZM2dq27ZteuaZZzRu3DhJ0pIlS/Taa6/p4sWLatKkiT799FP16tWr0HUCwLXKfcQuMjJSiYmJTm1r1qxRZGRkeW8aQFVhs12dDnXHy4Xz644ePaqpU6dqwYIFqlmzplq0aCG73e40HTt16lTNnj1b8fHx8vDwcASwlJQUdejQQd9//7169+6tp556SkuWLNE333yjRYsWOZbv16+fNm3apJSUFDVs2FDr1q0rcp0AcC2Xg9358+e1bds2bdu2TdLV25ls27ZNhw4dknR1GnX48OGO/o899pj27dunp59+WqmpqXrjjTf00Ucf8Q8TgCrniSeeUL9+/RQTc/Um1V5eXmrdurVTsOvbt68OHTqklStX6o033pAknTt3TpZladSoUU7rql27tizLkr+/vyTJsiy9/fbbuuOOO3Trrbfq73//u3x9fQtdJwAUxuWp2B9++EE9e/Z0vI+NjZUkjRgxQosXL9bx48cdIU+SwsPDtXLlSk2aNEnz5s1T48aN9c4773CrkyqCq0WBq1asWKG1a9dq586dTu3t27d3CnabN2/WmTNn1LRpU3l7e0uSduzYoTvuuMPRJyUlRVOmTJEkbd++3TGNu3jxYqWmpmr9+vWqUaOGmjdvrjZt2hS6TgAojMvB7u6775ZlWUV+XthTJe6++25t3brV1U0BQKVx77336qeffirQ/u677zp+Pnr0qEaPHq21a9dq4MCB2r59u9q1a+eYhs135MgRNW7cWNLVkJcf7Hbs2KGuXbuqRo0aWrBggbKyspSTk1PoOgGgMJXyqlgAqGouXryoQYMGaf78+QoPD1dcXJxeeOEFSXIKdocPH1ZoaKhjuZ8Hu0ceeURz5szRL37xC+3fv1/t2rUrcp0AUBibVdzwWyWRmZmpgIAAZWRkOM5FQdmr6tOuNXIuaeerv5YktZ70iS76+JbLdg7MjimX9VYnly5d0v79+xUeHi5f3/I5TtUZ3y9QAa5c+N/9N0txP0xXuJKDGLEDAAAwBMEOAADAEAQ7AAAAQ5T7kycA0xR2LiLn3QEAKgNG7AC4TRW4dqtK4nsFqi+CHYAKl3+T3aysLDdXYqb875WbGQPVD1OxACqcp6enAgMDdeLECUmSn5+fbC48sxWFsyxLWVlZOnHihAIDA+Xp6enukgBUMIIdALcICQmRJEe4Q9kJDAx0fL8AqheCHQC3sNlsatCggYKCgnT58mV3l2MMb29vRuqAaoxgB8CtPD09CSIAUEa4eAIAAMAQBDsAAABDEOwAAAAMwTl2QBngaRQAgMqAETsAAABDEOwAAAAMwVRsNVXY1CHKFtOzAICKxogdAACAIQh2AAAAhmAqthpg2hUAgOqBETsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEF7uLgCoTsImryy0/cDsmAquBABgIkbsAAAADEGwAwAAMARTsQYpapoPAABUD4zYAQAAGIJgBwAAYAimYqsopl0BAMC1GLEDAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAET54AKoHCniRyYHaMGyoBAFRljNgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGIJgBwAAYIhSBbsFCxYoLCxMvr6+ioiI0KZNm4rtP3fuXLVs2VI1atRQaGioJk2apEuXLpWq4OoobPLKAi8AAIBruRzsli1bptjYWE2fPl1btmzRrbfequjoaJ04caLQ/kuXLtXkyZM1ffp07dy5U3/961+1bNkyTZky5YaLBwAAwP+4HOzi4+M1ZswYjRw5Um3atFFCQoL8/Py0cOHCQvtv2LBBXbt21dChQxUWFqY+ffpoyJAh1x3lAwAAgGtcCnY5OTlKTk5WVFTU/1bg4aGoqCglJSUVukyXLl2UnJzsCHL79u3TqlWrdM899xS5nezsbGVmZjq9AAAAUDyXHil26tQp5ebmKjg42Kk9ODhYqamphS4zdOhQnTp1St26dZNlWbpy5Yoee+yxYqdiZ82apRkzZrhSGgAAQLVX7lfFrlu3Tn/605/0xhtvaMuWLfr000+1cuVKvfDCC0UuExcXp4yMDMfr8OHD5V0mAABAlefSiF29evXk6emp9PR0p/b09HSFhIQUuszUqVP1yCOPaPTo0ZKk9u3b68KFCxo7dqyeffZZeXgUzJZ2u112u92V0gAAAKo9l0bsfHx81KlTJyUmJjra8vLylJiYqMjIyEKXycrKKhDePD09JUmWZblaLwAAAIrg0oidJMXGxmrEiBHq3Lmz7rzzTs2dO1cXLlzQyJEjJUnDhw9Xo0aNNGvWLEnSfffdp/j4eN12222KiIjQnj17NHXqVN13332OgAcAAIAb53KwGzx4sE6ePKlp06YpLS1NHTt21OrVqx0XVBw6dMhphO65556TzWbTc889p6NHj6p+/fq67777NHPmzLLbCwAAAMhmVYH50MzMTAUEBCgjI0P+/v7uLqfC8aSJkqmRc0k7X/21JKn1pE900cfXzRWVvQOzY9xdAgBAkq5ckD6qdfXnB89LXjXLbVOu5CCeFQsAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGMLlJ08AcJ/CblbNTYsBAPkYsQMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAENzupJIp7HYWAAAAJcGIHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABjCy90FALgxYZNXFtp+YHZMBVcCAHA3RuwAAAAMQbADAAAwBMEOAADAEJxj5yZFnRcFAABQWozYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhvBydwHVQdjkle4uAQAAVAOM2AEAABiCYAcAAGAIpmIBQxV2CsCB2TFuqAQAUFEYsQMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMESpgt2CBQsUFhYmX19fRUREaNOmTcX2P3v2rMaPH68GDRrIbrfrlltu0apVq0pVMAAAAArn8iPFli1bptjYWCUkJCgiIkJz585VdHS0du3apaCgoAL9c3Jy9Mtf/lJBQUH65JNP1KhRIx08eFCBgYFlUT8AAAD+j8vBLj4+XmPGjNHIkSMlSQkJCVq5cqUWLlyoyZMnF+i/cOFCnTlzRhs2bJC3t7ckKSws7MaqBgAAQAEuBbucnBwlJycrLi7O0ebh4aGoqCglJSUVuswXX3yhyMhIjR8/XsuXL1f9+vU1dOhQPfPMM/L09Cx0mezsbGVnZzveZ2ZmulImgCKETV5ZoO3A7Bg3VAIAKA8unWN36tQp5ebmKjg42Kk9ODhYaWlphS6zb98+ffLJJ8rNzdWqVas0depUvfLKK3rxxReL3M6sWbMUEBDgeIWGhrpSJgAAQLVU7lfF5uXlKSgoSG+99ZY6deqkwYMH69lnn1VCQkKRy8TFxSkjI8PxOnz4cHmXCQAAUOW5NBVbr149eXp6Kj093ak9PT1dISEhhS7ToEEDeXt7O027tm7dWmlpacrJyZGPj0+BZex2u+x2uyulAQAAVHsujdj5+PioU6dOSkxMdLTl5eUpMTFRkZGRhS7TtWtX7dmzR3l5eY62//73v2rQoEGhoQ4AAACl4/JUbGxsrN5++2397W9/086dO/X444/rwoULjqtkhw8f7nRxxeOPP64zZ85o4sSJ+u9//6uVK1fqT3/6k8aPH192ewEAAADXb3cyePBgnTx5UtOmTVNaWpo6duyo1atXOy6oOHTokDw8/pcXQ0ND9fXXX2vSpEnq0KGDGjVqpIkTJ+qZZ54pu70AAACA68FOkiZMmKAJEyYU+tm6desKtEVGRur7778vzaYAAABQQjwrFgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEKV68gSKFjZ5pbtLAAAA1RQjdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhuDJE0A1V9TTUg7MjqngSgAAN4oROwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADCEl7sLqMrCJq90dwkAAAAOjNgBAAAYgmAHAABgCKZiARSqsFMNDsyOcUMlAICSYsQOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMISXuwsAUHWETV5ZoO3A7Bg3VAIAKAwjdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGKFWwW7BggcLCwuTr66uIiAht2rSpRMt9+OGHstlsGjBgQGk2CwAAgGK4HOyWLVum2NhYTZ8+XVu2bNGtt96q6OhonThxotjlDhw4oD/84Q/q3r17qYsFAABA0VwOdvHx8RozZoxGjhypNm3aKCEhQX5+flq4cGGRy+Tm5mrYsGGaMWOGmjVrdkMFAwAAoHAuBbucnBwlJycrKirqfyvw8FBUVJSSkpKKXO75559XUFCQRo0aVaLtZGdnKzMz0+kFAACA4rn05IlTp04pNzdXwcHBTu3BwcFKTU0tdJnvvvtOf/3rX7Vt27YSb2fWrFmaMWOGK6UBcBOeRgEAlUe5XhV77tw5PfLII3r77bdVr169Ei8XFxenjIwMx+vw4cPlWCUAAIAZXBqxq1evnjw9PZWenu7Unp6erpCQkAL99+7dqwMHDui+++5ztOXl5V3dsJeXdu3apebNmxdYzm63y263u1IaAABAtefSiJ2Pj486deqkxMRER1teXp4SExMVGRlZoH+rVq2UkpKibdu2OV79+/dXz549tW3bNoWGht74HgAAAECSiyN2khQbG6sRI0aoc+fOuvPOOzV37lxduHBBI0eOlCQNHz5cjRo10qxZs+Tr66t27do5LR8YGChJBdoBAABwY1wOdoMHD9bJkyc1bdo0paWlqWPHjlq9erXjgopDhw7Jw4MHWgAAAFQ0l4OdJE2YMEETJkwo9LN169YVu+zixYtLs0kAAABcB0NrAAAAhiDYAQAAGKJUU7HVTWE3YAUAAKhsGLEDAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwhJe7CwBgnrDJKwttPzA7poIrAYDqhRE7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAENwVSyAClPY1bJcKQsAZYcROwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwhJe7CwBQvYVNXlmifgdmx5RzJQBQ9TFiBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGMLL3QUAQEmETV5Z4r4HZseUYyUAUHkxYgcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgiFIFuwULFigsLEy+vr6KiIjQpk2biuz79ttvq3v37qpTp47q1KmjqKioYvsDAACgdFy+3cmyZcsUGxurhIQERUREaO7cuYqOjtauXbsUFBRUoP+6des0ZMgQdenSRb6+vnrppZfUp08f7dixQ40aNSqTnShLrtxSAQAAoDJxecQuPj5eY8aM0ciRI9WmTRslJCTIz89PCxcuLLT/+++/r3Hjxqljx45q1aqV3nnnHeXl5SkxMfGGiwcAAMD/uBTscnJylJycrKioqP+twMNDUVFRSkpKKtE6srKydPnyZdWtW7fIPtnZ2crMzHR6AQAAoHguBbtTp04pNzdXwcHBTu3BwcFKS0sr0TqeeeYZNWzY0CkcXmvWrFkKCAhwvEJDQ10pEwAAoFqq0KtiZ8+erQ8//FCfffaZfH19i+wXFxenjIwMx+vw4cMVWCUAAEDV5NLFE/Xq1ZOnp6fS09Od2tPT0xUSElLssi+//LJmz56tf/7zn+rQoUOxfe12u+x2uyulAQAAVHsuBTsfHx916tRJiYmJGjBggCQ5LoSYMGFCkcvNmTNHM2fO1Ndff63OnTvfUMEAcD2FXd1+YHaMGyoBgIrl8u1OYmNjNWLECHXu3Fl33nmn5s6dqwsXLmjkyJGSpOHDh6tRo0aaNWuWJOmll17StGnTtHTpUoWFhTnOxatVq5Zq1apVhrsCAABQvbkc7AYPHqyTJ09q2rRpSktLU8eOHbV69WrHBRWHDh2Sh8f/Tt37y1/+opycHP361792Ws/06dP1xz/+8caqBwAAgIPLwU6SJkyYUOTU67p165zeHzhwoDSbAAAAgIt4ViwAAIAhCHYAAACGINgBAAAYolTn2AFAVcMtUABUB4zYAQAAGIJgBwAAYAimYgFUW4VNz0pM0QKouhixAwAAMATBDgAAwBBMxQJACXBVLYCqgBE7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAzB7U4A4BpFPZGiJP24BQoAd2LEDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDcLsTAKgA3BoFQEVgxA4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEFwVCwBlqLCrX13pW9iVskWtk6tqAVyLETsAAABDEOwAAAAMwVQsAABuxnQ7ygojdgAAAIYg2AEAABiCYAcAAGAIzrEDgErEldul3MjynLsFmIkROwAAAEMQ7AAAAAzBVCwAVEMVeXuNkj5hozK60anxwriy7zey/aryHaNsMWIHAABgCIIdAACAIZiKBYAqqjymCUs6bVoe06sVtc6iVNTUZXkcN1e2wxSt2RixAwAAMATBDgAAwBAEOwAAAENwjh0AoFgVdU6YKypjTUBlwIgdAACAIQh2AAAAhmAqFgBQJlyZHi1p34qccq0u07tV+UkguD5G7AAAAAxBsAMAADAEU7EAAFRzTM+agxE7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAzB7U4AAECJFPV0Dm6NUnkwYgcAAGCIUgW7BQsWKCwsTL6+voqIiNCmTZuK7f/xxx+rVatW8vX1Vfv27bVq1apSFQsAAICiuTwVu2zZMsXGxiohIUERERGaO3euoqOjtWvXLgUFBRXov2HDBg0ZMkSzZs3Svffeq6VLl2rAgAHasmWL2rVrVyY7AQAAylZR064l7Wva9Oy1+1jDdkk727upmGK4PGIXHx+vMWPGaOTIkWrTpo0SEhLk5+enhQsXFtp/3rx56tu3r5566im1bt1aL7zwgm6//Xa9/vrrN1w8AAAA/selEbucnBwlJycrLi7O0ebh4aGoqCglJSUVukxSUpJiY2Od2qKjo/X5558XuZ3s7GxlZ2c73mdkZEiSMjMzXSm3VPKys8p9GygfuTmXlP8bkpudpTwrz631AEB1VhH/Z1eka/NBru2SMvObMjMlr9xy23b+d2lZ1nX7uhTsTp06pdzcXAUHBzu1BwcHKzU1tdBl0tLSCu2flpZW5HZmzZqlGTNmFGgPDQ11pVxUQwH5P7wx3J1lAEC1FzDX3RWUP8f/OWMaVsj2zp07p4CAgGL7VMrbncTFxTmN8uXl5engwYPq2LGjDh8+LH9/fzdWV71lZmYqNDSU4+BmHIfKg2NROXAcKgeOQ/mwLEvnzp1Tw4bXD5AuBbt69erJ09NT6enpTu3p6ekKCQkpdJmQkBCX+kuS3W6X3W53avPwuHo6oL+/P78slQDHoXLgOFQeHIvKgeNQOXAcyt71RuryuXTxhI+Pjzp16qTExERHW15enhITExUZGVnoMpGRkU79JWnNmjVF9gcAAEDpuDwVGxsbqxEjRqhz58668847NXfuXF24cEEjR46UJA0fPlyNGjXSrFmzJEkTJ05Ujx499MorrygmJkYffvihfvjhB7311ltluycAAADVnMvBbvDgwTp58qSmTZumtLQ0dezYUatXr3ZcIHHo0CHHtKkkdenSRUuXLtVzzz2nKVOmqEWLFvr8889dvoed3W7X9OnTC0zRomJxHCoHjkPlwbGoHDgOlQPHwf1sVkmunQUAAEClx7NiAQAADEGwAwAAMATBDgAAwBAEOwAAAENUymB34MABjRo1SuHh4apRo4aaN2+u6dOnKycnp9jlLl26pPHjx+umm25SrVq1NHDgwAI3R4brZs6cqS5dusjPz0+BgYElWuY3v/mNbDab06tv377lW6jhSnMcLMvStGnT1KBBA9WoUUNRUVHavXt3+RZquDNnzmjYsGHy9/dXYGCgRo0apfPnzxe7zN13313g7+Gxxx6roIrNsWDBAoWFhcnX11cRERHatGlTsf0//vhjtWrVSr6+vmrfvr1WrVpVQZWazZXjsHjx4gK/+76+vhVYbfVTKYNdamqq8vLy9Oabb2rHjh169dVXlZCQoClTphS73KRJk/Tll1/q448/1rfffqtjx47pgQceqKCqzZWTk6NBgwbp8ccfd2m5vn376vjx447XBx98UE4VVg+lOQ5z5szRa6+9poSEBG3cuFE1a9ZUdHS0Ll26VI6Vmm3YsGHasWOH1qxZoxUrVmj9+vUaO3bsdZcbM2aM09/DnDlzKqBacyxbtkyxsbGaPn26tmzZoltvvVXR0dE6ceJEof03bNigIUOGaNSoUdq6dasGDBigAQMGaPv27RVcuVlcPQ7S1adQ/Px3/+DBgxVYcTVkVRFz5syxwsPDi/z87Nmzlre3t/Xxxx872nbu3GlJspKSkiqiROMtWrTICggIKFHfESNGWPfff3+51lNdlfQ45OXlWSEhIdaf//xnR9vZs2ctu91uffDBB+VYobn+85//WJKszZs3O9q++uory2azWUePHi1yuR49elgTJ06sgArNdeedd1rjx493vM/NzbUaNmxozZo1q9D+Dz74oBUTE+PUFhERYT366KPlWqfpXD0Orvy/gbJRKUfsCpORkaG6desW+XlycrIuX76sqKgoR1urVq3UpEkTJSUlVUSJuMa6desUFBSkli1b6vHHH9fp06fdXVK1sn//fqWlpTn9TQQEBCgiIoK/iVJKSkpSYGCgOnfu7GiLioqSh4eHNm7cWOyy77//vurVq6d27dopLi5OWVlZ5V2uMXJycpScnOz0u+zh4aGoqKgif5eTkpKc+ktSdHQ0v/s3oDTHQZLOnz+vpk2bKjQ0VPfff7927NhREeVWWy4/ecId9uzZo/nz5+vll18usk9aWpp8fHwKnHsUHBystLS0cq4Q1+rbt68eeOABhYeHa+/evZoyZYr69eunpKQkeXp6uru8aiH/9z7/qTD5+JsovbS0NAUFBTm1eXl5qW7dusV+p0OHDlXTpk3VsGFD/fjjj3rmmWe0a9cuffrpp+VdshFOnTql3NzcQn+XU1NTC10mLS2N3/0yVprj0LJlSy1cuFAdOnRQRkaGXn75ZXXp0kU7duxQ48aNK6LsaqdCR+wmT55c4CTKa1/X/nIcPXpUffv21aBBgzRmzJiKLNdopTkWrnjooYfUv39/tW/fXgMGDNCKFSu0efNmrVu3rux2wgDlfRxQMuV9HMaOHavo6Gi1b99ew4YN07vvvqvPPvtMe/fuLcO9ACqfyMhIDR8+XB07dlSPHj306aefqn79+nrzzTfdXZqxKnTE7ve//71+85vfFNunWbNmjp+PHTumnj17qkuXLnrrrbeKXS4kJEQ5OTk6e/as06hdenq6QkJCbqRsI7l6LG5Us2bNVK9ePe3Zs0e9e/cus/VWdeV5HPJ/79PT09WgQQNHe3p6ujp27FiqdZqqpMchJCSkwEniV65c0ZkzZ1z6dyYiIkLS1dmI5s2bu1xvdVOvXj15enoWuMtBcf++h4SEuNQf11ea43Atb29v3XbbbdqzZ095lAhVcLCrX7++6tevX6K+R48eVc+ePdWpUyctWrRIHh7FDy526tRJ3t7eSkxM1MCBAyVJu3bt0qFDhxQZGXnDtZvGlWNRFo4cOaLTp087BQyU73EIDw9XSEiIEhMTHUEuMzNTGzdudPkKZ9OV9DhERkbq7NmzSk5OVqdOnSRJa9euVV5eniOslcS2bdskib+HEvLx8VGnTp2UmJioAQMGSJLy8vKUmJioCRMmFLpMZGSkEhMT9eSTTzra1qxZw/8HN6A0x+Faubm5SklJ0T333FOOlVZz7r56ozBHjhyxbr75Zqt3797WkSNHrOPHjzteP+/TsmVLa+PGjY62xx57zGrSpIm1du1a64cffrAiIyOtyMhId+yCUQ4ePGht3brVmjFjhlWrVi1r69at1tatW61z5845+rRs2dL69NNPLcuyrHPnzll/+MMfrKSkJGv//v3WP//5T+v222+3WrRoYV26dMldu1HluXocLMuyZs+ebQUGBlrLly+3fvzxR+v++++3wsPDrYsXL7pjF4zQt29f67bbbrM2btxofffdd1aLFi2sIUOGOD6/9t+mPXv2WM8//7z1ww8/WPv377eWL19uNWvWzLrrrrvctQtV0ocffmjZ7XZr8eLF1n/+8x9r7NixVmBgoJWWlmZZlmU98sgj1uTJkx39//3vf1teXl7Wyy+/bO3cudOaPn265e3tbaWkpLhrF4zg6nGYMWOG9fXXX1t79+61kpOTrYceesjy9fW1duzY4a5dMF6lDHaLFi2yJBX6yrd//35LkvXNN9842i5evGiNGzfOqlOnjuXn52f96le/cgqDKJ0RI0YUeix+/t1LshYtWmRZlmVlZWVZffr0serXr295e3tbTZs2tcaMGeP4w0fpuHocLOvqLU+mTp1qBQcHW3a73erdu7e1a9euii/eIKdPn7aGDBli1apVy/L397dGjhzpFK6v/bfp0KFD1l133WXVrVvXstvt1s0332w99dRTVkZGhpv2oOqaP3++1aRJE8vHx8e68847re+//97xWY8ePawRI0Y49f/oo4+sW265xfLx8bHatm1rrVy5soIrNpMrx+HJJ5909A0ODrbuuecea8uWLW6ouvqwWZZlVewYIQAAAMpDlbmPHQAAAIpHsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEP8fyX56mxjspcaAAAAAElFTkSuQmCC\n" 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\n" 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" 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\n" 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\n" 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\n" 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" 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\n" 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\n" 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\n" 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\n" + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {} + } + ], + "source": [ + "watcher = ww.WeightWatcher(model=model)\n", + "details = watcher.analyze(plot=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2018-10-01T22:51:12.554859Z", + "start_time": "2018-10-01T22:51:12.518859Z" + }, + "id": "rOztTVFw3ggC" + }, + "source": [ + "## 2.5 Debug and Custom Logging" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2019-03-06T00:16:41.769719Z", + "start_time": "2019-03-06T00:16:38.803181Z" + }, + "id": "9FNO85nH3ggC", + "outputId": "3bf84e1b-9ac8-485f-afda-abc3dc3f0cbf", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:weightwatcher:\n", + "\n", + "python version 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]\n", + "numpy version 1.26.4\n", + "tensorflow version 2.17.0\n", + "\n", + "INFO:weightwatcher:\n", + "\n", + "python version 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]\n", + "numpy version 1.26.4\n", + "tensorflow version 2.17.0\n", + "\n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'PL', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []}\n", + "INFO:weightwatcher:Saving all images to ww-img\n", + "INFO:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []}\n", + "INFO:weightwatcher:Saving all images to ww-img\n", + "INFO:weightwatcher:Using \n", + "INFO:weightwatcher:tensorflow version 2.17.0\n", + "\n", + "INFO:weightwatcher:framework from model = keras\n", + "INFO:weightwatcher:keras layer: input_layer_1 type unknown not found \n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 0 input_layer_1 has no weights\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels First shape: 64x3 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=64 M=3 rf= 9 channels= first\n", + "DEBUG:weightwatcher:layer_supported N 64 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 1 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 1 block1_conv1 \n", + "DEBUG:weightwatcher:running SVD on Layer 1 block1_conv1 \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(3, 64) n_comp = 27\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(3, 64) n_comp = 27\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(3, 64) n_comp = 27\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(3, 64) n_comp = 27\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(3, 64) n_comp = 27\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(3, 64) n_comp = 27\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(3, 64) n_comp = 27\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(3, 64) n_comp = 27\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(3, 64) n_comp = 27\n", + "DEBUG:weightwatcher:fitting power_law on 27 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels First shape: 64x64 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=64 M=64 rf= 9 channels= first\n", + "DEBUG:weightwatcher:layer_supported N 64 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 2 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 2 block1_conv2 \n", + "DEBUG:weightwatcher:running SVD on Layer 2 block1_conv2 \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 64) n_comp = 576\n", + "DEBUG:weightwatcher:fitting power_law on 576 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:keras layer: block1_pool type unknown not found \n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 3 block1_pool has no weights\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels First shape: 128x64 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=128 M=64 rf= 9 channels= first\n", + "DEBUG:weightwatcher:layer_supported N 128 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 4 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 4 block2_conv1 \n", + "DEBUG:weightwatcher:running SVD on Layer 4 block2_conv1 \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 128) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 128) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 128) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 128) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 128) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 128) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 128) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 128) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 128) n_comp = 576\n", + "DEBUG:weightwatcher:fitting power_law on 576 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels First shape: 128x128 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=128 M=128 rf= 9 channels= first\n", + "DEBUG:weightwatcher:layer_supported N 128 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 5 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 5 block2_conv2 \n", + "DEBUG:weightwatcher:running SVD on Layer 5 block2_conv2 \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:fitting power_law on 1152 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:keras layer: block2_pool type unknown not found \n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 6 block2_pool has no weights\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels First shape: 256x128 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=256 M=128 rf= 9 channels= first\n", + "DEBUG:weightwatcher:layer_supported N 256 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 7 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 7 block3_conv1 \n", + "DEBUG:weightwatcher:running SVD on Layer 7 block3_conv1 \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 256) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 256) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 256) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 256) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 256) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 256) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 256) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 256) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 256) n_comp = 1152\n", + "DEBUG:weightwatcher:fitting power_law on 1152 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels First shape: 256x256 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=256 M=256 rf= 9 channels= first\n", + "DEBUG:weightwatcher:layer_supported N 256 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 8 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 8 block3_conv2 \n", + "DEBUG:weightwatcher:running SVD on Layer 8 block3_conv2 \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:fitting power_law on 2304 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels First shape: 256x256 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=256 M=256 rf= 9 channels= first\n", + "DEBUG:weightwatcher:layer_supported N 256 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 9 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 9 block3_conv3 \n", + "DEBUG:weightwatcher:running SVD on Layer 9 block3_conv3 \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:fitting power_law on 2304 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:keras layer: block3_pool type unknown not found \n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 10 block3_pool has no weights\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels First shape: 512x256 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=512 M=256 rf= 9 channels= first\n", + "DEBUG:weightwatcher:layer_supported N 512 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 11 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 11 block4_conv1 \n", + "DEBUG:weightwatcher:running SVD on Layer 11 block4_conv1 \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 512) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 512) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 512) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 512) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 512) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 512) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 512) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 512) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 512) n_comp = 2304\n", + "DEBUG:weightwatcher:fitting power_law on 2304 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels First shape: 512x512 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=512 M=512 rf= 9 channels= first\n", + "DEBUG:weightwatcher:layer_supported N 512 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 12 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 12 block4_conv2 \n", + "DEBUG:weightwatcher:running SVD on Layer 12 block4_conv2 \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:fitting power_law on 4608 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels First shape: 512x512 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=512 M=512 rf= 9 channels= first\n", + "DEBUG:weightwatcher:layer_supported N 512 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 13 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 13 block4_conv3 \n", + "DEBUG:weightwatcher:running SVD on Layer 13 block4_conv3 \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:fitting power_law on 4608 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:keras layer: block4_pool type unknown not found \n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 14 block4_pool has no weights\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels First shape: 512x512 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=512 M=512 rf= 9 channels= first\n", + "DEBUG:weightwatcher:layer_supported N 512 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 15 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 15 block5_conv1 \n", + "DEBUG:weightwatcher:running SVD on Layer 15 block5_conv1 \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:fitting power_law on 4608 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels First shape: 512x512 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=512 M=512 rf= 9 channels= first\n", + "DEBUG:weightwatcher:layer_supported N 512 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 16 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 16 block5_conv2 \n", + "DEBUG:weightwatcher:running SVD on Layer 16 block5_conv2 \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:fitting power_law on 4608 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels First shape: 512x512 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=512 M=512 rf= 9 channels= first\n", + "DEBUG:weightwatcher:layer_supported N 512 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 17 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 17 block5_conv3 \n", + "DEBUG:weightwatcher:running SVD on Layer 17 block5_conv3 \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:fitting power_law on 4608 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "INFO:weightwatcher:keras layer: block5_pool type unknown not found \n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 18 block5_pool has no weights\n", + "INFO:weightwatcher:keras layer: flatten type flattened not found \n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 19 flatten has no weights\n", + "DEBUG:weightwatcher:layer_supported N 25088 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 20 dense : \n", + "DEBUG:weightwatcher:apply ESD on Layer 20 fc1 \n", + "DEBUG:weightwatcher:running SVD on Layer 20 fc1 \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(25088, 4096) n_comp = 4096\n", + "DEBUG:weightwatcher:fitting power_law on 4096 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:layer_supported N 4096 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 21 dense : \n", + "DEBUG:weightwatcher:apply ESD on Layer 21 fc2 \n", + "DEBUG:weightwatcher:running SVD on Layer 21 fc2 \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(4096, 4096) n_comp = 4096\n", + "DEBUG:weightwatcher:fitting power_law on 4096 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:layer_supported N 4096 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 22 dense : \n", + "DEBUG:weightwatcher:apply ESD on Layer 22 predictions \n", + "DEBUG:weightwatcher:running SVD on Layer 22 predictions \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(4096, 1000) n_comp = 1000\n", + "DEBUG:weightwatcher:fitting power_law on 1000 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + } + ], + "source": [ + "logger = logging.getLogger(ww.__name__)\n", + "logger.setLevel(logging.DEBUG)\n", + "\n", + "watcher = ww.WeightWatcher(model=model)\n", + "details = watcher.analyze()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Vn3e_FX93ggD" + }, + "source": [ + "## 3. pyTorch Models" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2019-03-06T00:40:17.723085Z", + "start_time": "2019-03-06T00:16:43.259483Z" + }, + "id": "DCgOSf7p3ggD", + "outputId": "c5b97f90-242e-427c-d2dc-ad119b8a4157", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.\n", + " warnings.warn(msg)\n", + "Downloading: \"https://download.pytorch.org/models/vgg16-397923af.pth\" to /root/.cache/torch/hub/checkpoints/vgg16-397923af.pth\n", + "100%|██████████| 528M/528M [00:05<00:00, 110MB/s]\n", + "INFO:weightwatcher:\n", + "\n", + "python version 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]\n", + "numpy version 1.26.4\n", + "torch version 2.3.1+cu121\n", + "INFO:weightwatcher:\n", + "\n", + "python version 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]\n", + "numpy version 1.26.4\n", + "torch version 2.3.1+cu121\n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'PL', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []}\n", + "INFO:weightwatcher:Saving all images to ww-img\n", + "INFO:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []}\n", + "INFO:weightwatcher:Saving all images to ww-img\n", + "INFO:weightwatcher:Using \n", + "INFO:weightwatcher:torch version 2.3.1+cu121\n", + "INFO:weightwatcher:framework from model = pytorch\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 0 VGG\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " )\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " )\n", + ") has no weights\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 1 Sequential\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + ") has no weights\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels Last tensor shape: 64x3 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=64 M=3 rf= 9 channels= last\n", + "DEBUG:weightwatcher:layer_supported N 64 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 2 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 2 Conv2d \n", + "DEBUG:weightwatcher:running SVD on Layer 2 Conv2d \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 3) n_comp = 27\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 3) n_comp = 27\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 3) n_comp = 27\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 3) n_comp = 27\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 3) n_comp = 27\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 3) n_comp = 27\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 3) n_comp = 27\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 3) n_comp = 27\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 3) n_comp = 27\n", + "DEBUG:weightwatcher:fitting power_law on 27 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 3 ReLU has no weights\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels Last tensor shape: 64x64 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=64 M=64 rf= 9 channels= last\n", + "DEBUG:weightwatcher:layer_supported N 64 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 4 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 4 Conv2d \n", + "DEBUG:weightwatcher:running SVD on Layer 4 Conv2d \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(64, 64) n_comp = 576\n", + "DEBUG:weightwatcher:fitting power_law on 576 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 5 ReLU has no weights\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 6 MaxPool2d has no weights\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels Last tensor shape: 128x64 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=128 M=64 rf= 9 channels= last\n", + "DEBUG:weightwatcher:layer_supported N 128 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 7 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 7 Conv2d \n", + "DEBUG:weightwatcher:running SVD on Layer 7 Conv2d \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 64) n_comp = 576\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 64) n_comp = 576\n", + "DEBUG:weightwatcher:fitting power_law on 576 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 8 ReLU has no weights\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels Last tensor shape: 128x128 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=128 M=128 rf= 9 channels= last\n", + "DEBUG:weightwatcher:layer_supported N 128 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 9 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 9 Conv2d \n", + "DEBUG:weightwatcher:running SVD on Layer 9 Conv2d \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(128, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:fitting power_law on 1152 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 10 ReLU has no weights\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 11 MaxPool2d has no weights\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels Last tensor shape: 256x128 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=256 M=128 rf= 9 channels= last\n", + "DEBUG:weightwatcher:layer_supported N 256 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 12 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 12 Conv2d \n", + "DEBUG:weightwatcher:running SVD on Layer 12 Conv2d \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 128) n_comp = 1152\n", + "DEBUG:weightwatcher:fitting power_law on 1152 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 13 ReLU has no weights\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels Last tensor shape: 256x256 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=256 M=256 rf= 9 channels= last\n", + "DEBUG:weightwatcher:layer_supported N 256 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 14 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 14 Conv2d \n", + "DEBUG:weightwatcher:running SVD on Layer 14 Conv2d \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:fitting power_law on 2304 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 15 ReLU has no weights\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels Last tensor shape: 256x256 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=256 M=256 rf= 9 channels= last\n", + "DEBUG:weightwatcher:layer_supported N 256 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 16 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 16 Conv2d \n", + "DEBUG:weightwatcher:running SVD on Layer 16 Conv2d \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(256, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:fitting power_law on 2304 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 17 ReLU has no weights\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 18 MaxPool2d has no weights\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels Last tensor shape: 512x256 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=512 M=256 rf= 9 channels= last\n", + "DEBUG:weightwatcher:layer_supported N 512 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 19 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 19 Conv2d \n", + "DEBUG:weightwatcher:running SVD on Layer 19 Conv2d \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 256) n_comp = 2304\n", + "DEBUG:weightwatcher:fitting power_law on 2304 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 20 ReLU has no weights\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels Last tensor shape: 512x512 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=512 M=512 rf= 9 channels= last\n", + "DEBUG:weightwatcher:layer_supported N 512 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 21 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 21 Conv2d \n", + "DEBUG:weightwatcher:running SVD on Layer 21 Conv2d \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:fitting power_law on 4608 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 22 ReLU has no weights\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels Last tensor shape: 512x512 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=512 M=512 rf= 9 channels= last\n", + "DEBUG:weightwatcher:layer_supported N 512 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 23 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 23 Conv2d \n", + "DEBUG:weightwatcher:running SVD on Layer 23 Conv2d \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:fitting power_law on 4608 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 24 ReLU has no weights\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 25 MaxPool2d has no weights\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels Last tensor shape: 512x512 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=512 M=512 rf= 9 channels= last\n", + "DEBUG:weightwatcher:layer_supported N 512 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 26 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 26 Conv2d \n", + "DEBUG:weightwatcher:running SVD on Layer 26 Conv2d \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:fitting power_law on 4608 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 27 ReLU has no weights\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels Last tensor shape: 512x512 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=512 M=512 rf= 9 channels= last\n", + "DEBUG:weightwatcher:layer_supported N 512 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 28 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 28 Conv2d \n", + "DEBUG:weightwatcher:running SVD on Layer 28 Conv2d \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:fitting power_law on 4608 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 29 ReLU has no weights\n", + "DEBUG:weightwatcher:conv2D_Wmats\n", + "DEBUG:weightwatcher:channels Last tensor shape: 512x512 (NxM), 3x3 (i,j)\n", + "DEBUG:weightwatcher:get_conv2D_Wmats N=512 M=512 rf= 9 channels= last\n", + "DEBUG:weightwatcher:layer_supported N 512 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 30 conv2d : \n", + "DEBUG:weightwatcher:apply ESD on Layer 30 Conv2d \n", + "DEBUG:weightwatcher:running SVD on Layer 30 Conv2d \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(512, 512) n_comp = 4608\n", + "DEBUG:weightwatcher:fitting power_law on 4608 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 31 ReLU has no weights\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 32 MaxPool2d has no weights\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 33 AdaptiveAvgPool2d has no weights\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 34 Sequential\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + ") has no weights\n", + "DEBUG:weightwatcher:layer_supported N 25088 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 35 dense : \n", + "DEBUG:weightwatcher:apply ESD on Layer 35 Linear \n", + "DEBUG:weightwatcher:running SVD on Layer 35 Linear \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(4096, 25088) n_comp = 4096\n", + "DEBUG:weightwatcher:fitting power_law on 4096 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 36 ReLU has no weights\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 37 Dropout has no weights\n", + "DEBUG:weightwatcher:layer_supported N 4096 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 38 dense : \n", + "DEBUG:weightwatcher:apply ESD on Layer 38 Linear \n", + "DEBUG:weightwatcher:running SVD on Layer 38 Linear \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(4096, 4096) n_comp = 4096\n", + "DEBUG:weightwatcher:fitting power_law on 4096 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 39 ReLU has no weights\n", + "DEBUG:weightwatcher:layer_supported N 0 max evals 15000\n", + "DEBUG:weightwatcher:layer not supported: Layer 40 Dropout has no weights\n", + "DEBUG:weightwatcher:layer_supported N 4096 max evals 15000\n", + "DEBUG:weightwatcher:LAYER: 41 dense : \n", + "DEBUG:weightwatcher:apply ESD on Layer 41 Linear \n", + "DEBUG:weightwatcher:running SVD on Layer 41 Linear \n", + "DEBUG:weightwatcher:params {'glorot_fix': False, 'normalize': False, 'conv2d_norm': True, 'randomize': False, 'savedir': 'ww-img', 'savefig': 'ww-img', 'rescale': True, 'plot': False, 'deltaEs': False, 'intra': False, 'channels': None, 'fft': False, 'conv2d_fft': False, 'ww2x': False, 'pool': True, 'vectors': False, 'smooth': None, 'stacked': False, 'svd_method': 'fast', 'fix_fingers': False, 'fit': 'power_law', 'MAX_FINGERS': 10, 'finger_thresh': 1.0, 'sparsify': True, 'detX': False, 'mp_fit': False, 'min_evals': 10, 'max_evals': 15000, 'max_N': 50000, 'tolerance': 1e-06, 'layer_ids_start': 0, 'add_biases': False, 'xmin_max': None, 'pl_package': 'ww', 'xmax': None, 'peft': False, 'inverse': False, 'glorot_fit': False, 'layers': []} \n", + "DEBUG:weightwatcher:Running fast SVD: W.shape=(1000, 4096) n_comp = 1000\n", + "DEBUG:weightwatcher:fitting power_law on 1000 eigenvalues\n", + "DEBUG:weightwatcher:xmax not set, fast PL method in place\n", + "INFO:weightwatcher:Running powerlaw.Fit no xmin, xmax=None. distribution=power_law pl_package=ww\n", + "INFO:weightwatcher:PL FIT running NEW power law method\n" + ] + } + ], + "source": [ + "import torchvision.models as models\n", + "\n", + "model = models.vgg16(pretrained=True)\n", + "watcher = ww.WeightWatcher(model=model)\n", + "\n", + "details = watcher.analyze()\n", + "summary = watcher.get_summary(details)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "id": "6vkaNWxe3ggH" + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "id": "4X6scwg53ggH" + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "id": "JkHeoHa63ggH" + }, + "outputs": [], + "source": [] } - }, - "outputs": [], - "source": [ - "import torchvision.models as models\n", - "\n", - "model = models.vgg16(pretrained=True)\n", - "watcher = ww.WeightWatcher(model=model)\n", - "\n", - "details = watcher.analyze()\n", - "summary = watcher.get_summary(details)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.13" + }, + "colab": { + "provenance": [], + "gpuType": "T4", + "include_colab_link": true + }, + "accelerator": "GPU" }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.13" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file