reformat

history/report.py

@@ -2,6 +2,7 @@
 Script used to automatically generate PDF report comparing TaxData outputs
 after updates
 """
+
 # flake8: noqa: E501
 import argparse
 import pandas as pd

history/report_utils.py

@@ -1,6 +1,7 @@
 """
 Utility functions used by report.py
 """
+
 import pypandoc
 import pandas as pd
 import numpy as np

inithash.py

@@ -1,6 +1,7 @@
 """
 This script creates the initial hashes for each stage 2 file
 """
+
 import json
 import hashlib
 from pathlib import Path

puf_stage1/factors_finalprep.py

@@ -2,6 +2,7 @@
 Transform Stage_I_factors.csv (written by the stage1.py script) and
 benefit_growth_rates.csv into growfactors.csv (used by Tax-Calculator).
 """
+
 import pandas as pd
 import os
 

puf_stage1/updatecbo.py

@@ -5,6 +5,7 @@
 there is a bug, it's probably because that assumption no longer holds true.
 When this happens, modify the code as needed to account for this.
 """
+
 import re
 import requests
 import pandas as pd

taxdata/cps/cps_meta.py

@@ -1,6 +1,7 @@
 """
 Holds all the CPS file metadata we need. Created to keep create.py clean
 """
+
 C_TAM_YEARS = [2013, 2014, 2015]  # years we have C-TAM imputations for
 
 CPS_META_DATA = {

taxdata/cps/finalprep.py

@@ -1,6 +1,7 @@
 """
 Clean up the CPS file and make it ready for Tax-Calculator
 """
+
 import numpy as np
 import pandas as pd
 import copy

taxdata/cps/splitincome.py

@@ -1,6 +1,7 @@
 """
 Split up certain income variables
 """
+
 import numpy as np
 
 

taxdata/cps/targeting.py

@@ -1,6 +1,7 @@
 """
 State level targeting of certain income variables
 """
+
 import pandas as pd
 import numpy as np
 from .constants import FIPS_DICT

taxdata/cps/transform_sas.py

@@ -2,6 +2,7 @@
 Scripts to convert the SAS scripts used to process the .DAT format CPS file
 to Python
 """
+
 import pickle
 from pathlib import Path
 from .cps_meta import CPS_META_DATA

taxdata/puf/impute_itmexp.py

@@ -32,6 +32,7 @@
 Non-Itemizers, 2011."  (Comments below contain more detail on this
 procedure.)
 """
+
 from __future__ import print_function
 import numpy as np
 import pandas as pd

taxdata/puf/impute_pencon.py

@@ -38,6 +38,7 @@
 process twice.  See the impute_pension_contributions() function code
 for details.
 """
+
 from __future__ import print_function
 import sys
 import numpy as np

taxdata/puf/preppuf.py

@@ -1,6 +1,7 @@
 """
 Scripts to clean up the raw PUF before matching
 """
+
 import numpy as np
 
 # RECIDs for aggregate variables by PUF year

tests/test_data.py

@@ -1,6 +1,7 @@
 """
 Test CPS and PUF data file contents.
 """
+
 import os
 import pytest
 import numpy as np

tests/test_ratios.py

@@ -1,6 +1,7 @@
 """
 Test PUF adjust-ratio file contents.
 """
+
 import pytest
 
 

tests/test_weights.py

@@ -1,6 +1,7 @@
 """
 Test CPS and PUF weights file contents.
 """
+
 import pytest
 import numpy as np