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from satellites.pythagorasSat.pythagoras import Pythagoras |
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import numpy as np |
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def test_pythagoras(): |
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pythagoras = Pythagoras() |
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test_task = { |
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"type": "calculate", |
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"operation": "mean", |
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"values": [1, 2, 3, 4, 5] |
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} |
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test_result = pythagoras.process_task(test_task) |
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print("Résultat de la tâche de test:", test_result) |
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print("\n\n") |
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calc_task = {"type": "calculate", "operation": "mean", "values": [1, 2, 3, 4, 5]} |
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calc_result = pythagoras.process_task(calc_task) |
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print("Résultat du calcul:", calc_result) |
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print("\n\n") |
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test_data = { |
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"type": "analyze_data", |
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"data": [1, 2, 3, 4, 5] |
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} |
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data_result = pythagoras.process_task(test_data) |
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print("Résultat de l'analyse de données:", data_result) |
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print("\n\n") |
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data_task = {"type": "analyze_data", "data": np.random.normal(0, 1, 1000).tolist()} |
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data_result = pythagoras.process_task(data_task) |
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print("Résultat de l'analyse de données:", {k: v for k, v in data_result.items() if k != 'histogram'}) |
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print("Un histogramme a été généré (non affiché ici)") |
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print("\n\n") |
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test_test = { |
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"type": "statistical_test", |
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"test_type": "correlation", |
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"data": [[1, 2, 3, 4, 5], [5, 4, 3, 2, 1]] |
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} |
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test_result = pythagoras.process_task(test_test) |
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print("Résultat du test statistique:", test_result) |
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print("\n\n") |
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stat_task = { |
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"type": "statistical_test", |
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"test_type": "t_test", |
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"data": { |
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"group1": np.random.normal(0, 1, 100).tolist(), |
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"group2": np.random.normal(0.5, 1, 100).tolist() |
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} |
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} |
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stat_result = pythagoras.process_task(stat_task) |
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print("Résultat du test statistique:", stat_result) |
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print("\n\n") |
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sample_data = [ |
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{"x": 1, "y": 2, "z": 3}, |
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{"x": 2, "y": 4, "z": 6}, |
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{"x": 3, "y": 6, "z": 9}, |
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{"x": 4, "y": 8, "z": 12}, |
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{"x": 5, "y": 10, "z": 15} |
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] |
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pythagoras.add_task({"type": "analyze_data", "data": sample_data}) |
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pythagoras.add_task({"type": "conduct_research", "topic": "Intelligence Artificielle", "depth": "deep"}) |
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pythagoras.add_task({"type": "extract_information", |
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"content": "L'intelligence artificielle (IA) est un domaine de l'informatique qui vise à créer des machines capables de simuler l'intelligence humaine. Elle englobe des sous-domaines tels que l'apprentissage automatique, le traitement du langage naturel et la vision par ordinateur.", |
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"keywords": ["apprentissage automatique", "traitement du langage naturel"]}) |
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while task := pythagoras.get_next_task(): |
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result = pythagoras.process_task(task) |
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print(f"Résultat de la tâche : {result}") |
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print("\n\n") |
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print("Connexion au Punkrecord") |
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pythagoras.update_from_punkrecord() |
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print("Communication avec Stellar") |
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stellar_response = pythagoras.communicate_with_stellar({"status_update": "Tâche terminée avec succès"}) |
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print("Réponse de Stellar:", stellar_response) |
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print(pythagoras.report_status()) |
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test_pythagoras() |
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print("test pythagoras") |
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print("By YmC") |
