<commit_before>import numpy as np
import time

def evaluate(query):
    noiseless_g  = lambda x: 10*np.sin(x) - x
    g            = lambda x: noiseless_g(x) + np.random.randn()/10 # Define the hidden function

    
    dataset_X = np.atleast_2d(query)
    dataset_Y = np.asarray([[g(dataset_X[0, :])[0]]])
    dataset = np.concatenate((dataset_X, dataset_Y), axis=1)
    # time.sleep(0.5)
    
    return dataset
    <commit_msg>Add true_evaluate()<commit_after>import numpy as np
import time

def evaluate(query):
    noiseless_g  = lambda x: 10*np.sin(x) - x
    g            = lambda x: noiseless_g(x) + np.random.randn()/10 # Define the hidden function

    
    dataset_X = np.atleast_2d(query)
    dataset_Y = np.asarray([[g(dataset_X[0, :])[0]]])
    dataset = np.concatenate((dataset_X, dataset_Y), axis=1)
    # time.sleep(0.5)
    
    return dataset
    
def true_evaluate(query):
    g            = lambda x: 10*np.sin(x) - x
    
    dataset_X = np.atleast_2d(query)
    dataset_Y = np.asarray([[g(dataset_X[0, :])[0]]])
    dataset = np.concatenate((dataset_X, dataset_Y), axis=1)
    # time.sleep(0.5)
    
    return dataset
    
{'fraction_non_alphanumeric': 0.14136125654450263, 'fraction_numerical': 0.02443280977312391, 'mean_word_length': 2.7980132450331126, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '763050', 'n_tokens_mistral': 451, 'n_tokens_neox': 435, 'n_words': 88}