<jupyter_start><jupyter_text>TextProcessor Tests<jupyter_code>#import banglanlp
from banglanlp.text.WordProcessor import *
enp = EnglishWordProcessor()
assert "ami" == enp.process("Ami-")
assert "IGI" == enp.process("IGI")
assert "igds" == enp.process("IgDs")
assert "stancee" == enp.process("stance e")
bnp = BanglaWordProcessor()
assert "মতে" == bnp.process("মতে—")<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.17380352644836272, 'fraction_numerical': 0.0, 'mean_word_length': 8.476190476190476, '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': '394291', 'license': 'MIT', 'n_tokens_mistral': 155, 'n_tokens_neox': 154, 'n_words': 26, 'path': 'test/BanglaNLPTester.ipynb', 'repo_name': 'Bangla-NLP/BLUE-Benchmark', 'size': '397'}