Script exit with no output

---

./venv/lib/python3.7/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.metrics.classification module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.metrics. Anything that cannot be imported from sklearn.metrics is now part of the private API.
  warnings.warn(message, FutureWarning)
./venv/lib/python3.7/site-packages/sklearn/base.py:318: UserWarning: Trying to unpickle estimator CountVectorizer from version 0.21.3 when using version 0.22.1. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
./venv/lib/python3.7/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.linear_model.logistic module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.linear_model. Anything that cannot be imported from sklearn.linear_model is now part of the private API.
  warnings.warn(message, FutureWarning)
./venv/lib/python3.7/site-packages/sklearn/base.py:318: UserWarning: Trying to unpickle estimator LogisticRegression from version 0.21.3 when using version 0.22.1. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
./venv/lib/python3.7/site-packages/sklearn/base.py:318: UserWarning: Trying to unpickle estimator TfidfTransformer from version 0.21.3 when using version 0.22.1. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
Traceback (most recent call last):
  File "main.py", line 510, in <module>
    task_five()
  File "main.py", line 450, in task_five
    data = tfidf.fit_transform([x[1] for x in res])
  File "./venv/lib/python3.7/site-packages/sklearn/feature_extraction/text.py", line 1859, in fit_transform
    X = super().fit_transform(raw_documents)
  File "./venv/lib/python3.7/site-packages/sklearn/feature_extraction/text.py", line 1237, in fit_transform
    "max_df corresponds to < documents than min_df")
ValueError: max_df corresponds to < documents than min_df