<commit_before>import sys
import time

import numpy as np
import tensorflow as tf

import awesome_gans.cogan.cogan_model as cogan
import awesome_gans.image_utils as iu
from awesome_gans.datasets import MNISTDataSet as DataSet

sys.path.append('../')

results = {
    'output': './gen_img/',
    'model': './model/CoGAN-model.ckpt'
}

train_step = {
    'batch_size': 128,
    'global_step': 12501,
    'logging_interval': 250,
}


def main():
    start_time = time.time()  # Clocking start

    # MNIST Dataset load<commit_msg>refactor: cogan<commit_after>import time

import numpy as np
import tensorflow as tf

import awesome_gans.cogan.cogan_model as cogan
import awesome_gans.image_utils as iu
from awesome_gans.datasets import MNISTDataSet as DataSet

results = {
    'output': './gen_img/',
    'model': './model/CoGAN-model.ckpt'
}

train_step = {
    'batch_size': 128,
    'global_step': 12501,
    'logging_interval': 250,
}


def main():
    start_time = time.time()  # Clocking start

    # MNIST Dataset load
{'fraction_non_alphanumeric': 0.11361410381978453, 'fraction_numerical': 0.021547502448579822, 'mean_word_length': 3.7534883720930234, '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': '3846946', 'n_tokens_mistral': 386, 'n_tokens_neox': 355, 'n_words': 93}