Fix the styling issues caused by black lib

Author: fatbuddy

dataprep/__init__.py

@@ -4,6 +4,7 @@
 
 Dataprep let you prepare your data using a single library with a few lines of code.
 """
+
 import logging
 
 DEFAULT_PARTITIONS = 1

dataprep/clean/address_utils.py

@@ -1,6 +1,7 @@
 """
 Constants used by the clean_address() and validate_address() functions
 """
+
 # pylint: disable=C0301, C0302, E1101
 
 from builtins import zip

dataprep/clean/clean_ad_nrt.py

@@ -2,6 +2,7 @@
 Clean and validate a DataFrame column containing
 Andorra NRT (Número de Registre Tributari, Andorra tax number).
 """
+
 # pylint: disable=too-many-lines, too-many-arguments, too-many-branches, unused-argument, E1101, E1133
 from typing import Any, Union
 from operator import itemgetter

dataprep/clean/clean_al_nipt.py

@@ -2,6 +2,7 @@
 Clean and validate a DataFrame column containing
 NIPT (Numri i Identifikimit për Personin e Tatueshëm, Albanian VAT number).
 """
+
 # pylint: disable=too-many-lines, too-many-arguments, too-many-branches, unused-argument, E1101, E1133
 from typing import Any, Union
 from operator import itemgetter

dataprep/clean/clean_ar_cbu.py

@@ -2,6 +2,7 @@
 Clean and validate a DataFrame column containing
 CBU (Clave Bancaria Uniforme, Argentine bank account number).
 """
+
 # pylint: disable=too-many-lines, too-many-arguments, too-many-branches, unused-argument, E1101, E1133
 from typing import Any, Union
 from operator import itemgetter

dataprep/clean/clean_ar_cuit.py

@@ -2,6 +2,7 @@
 Clean and validate a DataFrame column containing
 CUIT (Código Único de Identificación Tributaria, Argentinian tax number).
 """
+
 # pylint: disable=too-many-lines, too-many-arguments, too-many-branches, unused-argument, E1101, E1133
 from typing import Any, Union
 from operator import itemgetter

dataprep/clean/clean_ar_dni.py

@@ -2,6 +2,7 @@
 Clean and validate a DataFrame column containing
 DNI (Documento Nacional de Identidad, Argentinian national identity nr.).
 """
+
 # pylint: disable=too-many-lines, too-many-arguments, too-many-branches, unused-argument, E1101, E1133
 from typing import Any, Union
 from operator import itemgetter

dataprep/clean/clean_at_uid.py

@@ -2,6 +2,7 @@
 Clean and validate a DataFrame column containing
 UID (Umsatzsteuer-Identifikationsnummer, Austrian VAT number).
 """
+
 # pylint: disable=too-many-lines, too-many-arguments, too-many-branches, unused-argument, E1101, E1133
 from typing import Any, Union
 from operator import itemgetter

dataprep/clean/clean_at_vnr.py

@@ -2,6 +2,7 @@
 Clean and validate a DataFrame column containing
 VNR, SVNR, VSNR (Versicherungsnummer, Austrian social security number).
 """
+
 # pylint: disable=too-many-lines, too-many-arguments, too-many-branches, unused-argument, E1101, E1133
 from typing import Any, Union
 from operator import itemgetter

dataprep/clean/clean_au_abn.py

@@ -1,6 +1,7 @@
 """
 Clean and validate a DataFrame column containing Australian Business Numbers (ABNs).
 """
+
 # pylint: disable=too-many-lines, too-many-arguments, too-many-branches
 from typing import Any, Union
 from operator import itemgetter