<commit_before>import os
import numpy as np
from matplotlib import pyplot as plt
from scenemaker import simple_scene
from grad_descent import GDOptimizer
import theano

if not os.path.exists('output'):
    os.makedirs('output')

scene = simple_scene()
scene.objects[0].trans,scene.objects[0].invtrans \
            = scene.scale(scene.objects[0], (1.1,1.1,1.1), np.zeros((3,)))

opt = GDOptimizer(scene)
<commit_msg>update on organization and working on worldTomodel and modelTowolrd<commit_after>import os
import numpy as np
from matplotlib import pyplot as plt
from scenemaker import simple_scene
from grad_descent import GDOptimizer
import theano

if not os.path.exists('output'):
    os.makedirs('output')

scene = simple_scene()
#scene.objects[0].trans,scene.objects[0].invtrans \
#            = scene.scale(scene.objects[0], (1.1,1.1,1.1), np.zeros((3,)))

opt = GDOptimizer(scene)

{'fraction_non_alphanumeric': 0.12162162162162163, 'fraction_numerical': 0.02252252252252252, 'mean_word_length': 4.887417218543046, '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': '4637746', 'n_tokens_mistral': 308, 'n_tokens_neox': 306, 'n_words': 76}