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Currently, when I run pytest, I receive a whole heap of warnings. It would be best to fix these before they break.
/Users/arcarter/.virtualenvs/mashup/lib/python3.7/site-packages/matplotlib/rcsetup.py:20: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
from collections import Iterable, Mapping
/Users/arcarter/.virtualenvs/mashup/lib/python3.7/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.
warnings.warn(msg, DeprecationWarning)
/Users/arcarter/.virtualenvs/mashup/lib/python3.7/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.
warnings.warn(msg, DeprecationWarning)
/Users/arcarter/.virtualenvs/mashup/lib/python3.7/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.
warnings.warn(msg, DeprecationWarning)
/Users/arcarter/.virtualenvs/mashup/lib/python3.7/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.
warnings.warn(msg, DeprecationWarning)
/Users/arcarter/.virtualenvs/mashup/lib/python3.7/site-packages/sqlalchemy/sql/sqltypes.py:603: SAWarning: Dialect sqlite+pysqlite does *not* support Decimal objects natively, and SQLAlchemy must convert from floating point - rounding errors and other issues may occur. Please consider storing Decimal numbers as strings or integers on this platform for lossless storage.
'storage.' % (dialect.name, dialect.driver))
/Users/arcarter/.virtualenvs/mashup/lib/python3.7/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.
warnings.warn(msg, DeprecationWarning)
/Users/arcarter/.virtualenvs/mashup/lib/python3.7/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.
warnings.warn(msg, DeprecationWarning)
/Users/arcarter/.virtualenvs/mashup/lib/python3.7/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.
warnings.warn(msg, DeprecationWarning)
/Users/arcarter/.virtualenvs/mashup/lib/python3.7/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.
warnings.warn(msg, DeprecationWarning)
/Users/arcarter/.virtualenvs/mashup/lib/python3.7/site-packages/sqlalchemy/sql/sqltypes.py:603: SAWarning: Dialect sqlite+pysqlite does *not* support Decimal objects natively, and SQLAlchemy must convert from floating point - rounding errors and other issues may occur. Please consider storing Decimal numbers as strings or integers on this platform for lossless storage.
'storage.' % (dialect.name, dialect.driver))
/Users/arcarter/.virtualenvs/mashup/lib/python3.7/site-packages/sklearn/preprocessing/label.py:95: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().
y = column_or_1d(y, warn=True)
/Users/arcarter/.virtualenvs/mashup/lib/python3.7/site-packages/sklearn/preprocessing/label.py:128: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().
y = column_or_1d(y, warn=True)
The text was updated successfully, but these errors were encountered:
Currently, when I run pytest, I receive a whole heap of warnings. It would be best to fix these before they break.
The text was updated successfully, but these errors were encountered: