old_contents: import chardet
  import pandas as pd
  import csv
  from io import StringIO
  from bs4 import UnicodeDammit
  
  
  class CSVparser:
      @staticmethod
      def to_dict(file_path):
          with open(file_path, 'rb') as detect_file_encoding:
              detection = chardet.detect(detect_file_encoding.read())
  
          if detection['encoding'] == 'ISO-8859-9':
              # Some files with "ë" in them are erroneously parsed as iso-8859-9/latin-5/Turkish
              # Re-assign to utf-8!
              detection['encoding'] = 'utf-8'
  
          try:
              with open(file_path, encoding=detection['encoding']) as standard_file:
                  data = standard_file.read()
          except Exception as e:
              raise ValueError('Can\'t return dictionary from empty or invalid csv file %s: %s' % (file_path, e))
  
          if not data:
              raise ValueError('Can\'t return dictionary from empty or invalid csv file %s' % file_path)
  
          dammit = UnicodeDammit(data)
  
          try:
              dialect = csv.Sniffer().sniff(data)
          except Exception as e:
              raise ValueError('Unable to parse file %s: %s' % (file_path, e))
  
          frame = pd.read_csv(
              filepath_or_buffer=StringIO(dammit.unicode_markup),
              quotechar=dialect.quotechar,
              delimiter=dialect.delimiter,
          )
          dictionary = frame.to_dict(orient='record')
  
          if not dictionary:
              raise ValueError('Can\'t return dictionary from invalid csv file %s' % file_path)
  
          for record in dictionary:
              for key in record:
                  print(key)
                  if '.' in key:
                      new_key = key.replace('.', '\uff0e')
                      record[new_key] = record.pop(key)
  
          return dictionary
  
new_contents: import chardet
  import pandas as pd
  import csv
  from io import StringIO
  from bs4 import UnicodeDammit
  
  
  class CSVparser:
      @staticmethod
      def to_dict(file_path):
          with open(file_path, 'rb') as detect_file_encoding:
              detection = chardet.detect(detect_file_encoding.read())
  
          if detection['encoding'] == 'ISO-8859-9':
              # Some files with "ë" in them are erroneously parsed as iso-8859-9/latin-5/Turkish
              # Re-assign to utf-8!
              detection['encoding'] = 'utf-8'
  
          try:
              with open(file_path, encoding=detection['encoding']) as standard_file:
                  data = standard_file.read()
          except Exception as e:
              raise ValueError('Can\'t return dictionary from empty or invalid csv file %s: %s' % (file_path, e))
  
          if not data:
              raise ValueError('Can\'t return dictionary from empty or invalid csv file %s' % file_path)
  
          dammit = UnicodeDammit(data)
  
          try:
              dialect = csv.Sniffer().sniff(data)
          except Exception as e:
              raise ValueError('Unable to parse file %s: %s' % (file_path, e))
  
          frame = pd.read_csv(
              filepath_or_buffer=StringIO(dammit.unicode_markup),
              quotechar=dialect.quotechar,
              delimiter=dialect.delimiter,
          )
          dictionary = frame.to_dict(orient='record')
  
          if not dictionary:
              raise ValueError('Can\'t return dictionary from invalid csv file %s' % file_path)
  
          for record in dictionary:
              for key in record:
                  if '.' in key:
                      new_key = key.replace('.', '\uff0e')
                      record[new_key] = record.pop(key)
  
          return dictionary
  
subject: remove print statement