<jupyter_start><jupyter_text>Inlcude-1-File-Paths- Paths to directories and files<jupyter_code>import os
import glob
import ntpath
# Path to the data directory
data_dir_path = os.path.join('..', 'DataSets')
data_dir_path
# Path to the image directory
image_dir_path = os.path.join('..', 'Images')
image_dir_path
# Variables exposed by this include file
vars_exposed = {'data_dir_path': data_dir_path, 
                'image_dir_path': image_dir_path
               }
print("Variables exposed in Include-1-File-Paths = \n{}".format(vars_exposed))<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.11284722222222222, 'fraction_numerical': 0.003472222222222222, 'mean_word_length': 4.6568627450980395, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, '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}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '416884', 'license': 'MIT', 'n_tokens_mistral': 199, 'n_tokens_neox': 190, 'n_words': 45, 'path': 'Notebooks/Include-1-File-Paths.ipynb', 'repo_name': 'sashakarimi/ML-Hult-Summer-2019', 'size': '576'}