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csv_metadata_quality: Move scoped imports to global
According to PEP8 we should avoid scoped imports unless you have a good reason. Here there are two cases where we do (issn and isbn), but I will move the others to the global scope.
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@ -1,4 +1,9 @@
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from datetime import datetime, timedelta
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import pandas as pd
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import requests
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import requests_cache
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from pycountry import languages
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def issn(field):
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@ -85,7 +90,6 @@ def date(field, field_name):
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Prints the date if invalid.
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"""
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from datetime import datetime
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if pd.isna(field):
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print(f"Missing date ({field_name}).")
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@ -170,8 +174,6 @@ def language(field):
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Prints the value if it is invalid.
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"""
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from pycountry import languages
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# Skip fields with missing values
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if pd.isna(field):
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return
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@ -213,10 +215,6 @@ def agrovoc(field, field_name):
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Prints a warning if the value is invalid.
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"""
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from datetime import timedelta
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import requests
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import requests_cache
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# Skip fields with missing values
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if pd.isna(field):
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return
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@ -1,7 +1,10 @@
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import re
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from unicodedata import normalize
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import pandas as pd
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from csv_metadata_quality.util import is_nfc
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def whitespace(field, field_name):
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"""Fix whitespace issues.
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@ -212,9 +215,6 @@ def normalize_unicode(field, field_name):
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Return normalized string.
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"""
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from csv_metadata_quality.util import is_nfc
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from unicodedata import normalize
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# Skip fields with missing values
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if pd.isna(field):
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return
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