I’m guessing that this is a not yet supported feature of CPython 3. It is used to type annotate some self method parameters that need to reference itself. I have some pure python code that I wanted to compile that usesįrom _future_ import annotations, but compiling it throws: Error compiling Cython file:Īpp.py:6:23: future feature annotations is not definedįile "D:\app\compile_with_cython.py", line 59, in įile "D:\app\compile_with_cython.py", line 54, in mainįile "C:\Python37\lib\site-packages\Cython\Build\Dependencies.py", line 1097, in cythonizeįile "C:\Python37\lib\site-packages\Cython\Build\Dependencies.py", line 1220, in cythonize_oneĬ: app/app.py In python doc about future there is a table below where it shows that annotations 'optional in' 3.7.0b1 and 'mandatory in' 4.0 but I am still able to use annotations in 3.8.2 without importing annotations then what is the use of it. Is my assessment right (i.e.I’m on Windows 10, Python 3.7.1, Cython 0.29.7. Unless you created a virtual environment and selected that as your interpreter, typing something like python3 myfile. print ' '.join ( str (bla) for bla in sorted (mylist, cmp cmpconfigs)) I've put the definition of cmpconfigs method after the invocation. The version of pandas that is used is 1.2.0rc0 and the used Python version is 3.6.10. Is it possible to forward-declare a function in Python I want to sort a list using my own cmp function before it is declared. However, in my problem the error is in the pandas dependency (at least: I think it is?). The solution proposed hinted at there is to alter the code such that the dependency on this _future_ module is removed. It seems to me like the problem is related to the one discussed here: Can't import annotations from _future_. /./virtualenv/python3.6.10/lib/python3.6/site-packages/pandas-1.2.0rc0-p圓.6-linux-x86_64.egg/pandas/core/dtypes/base.py:12: in įrom import ABCDataFrame, ABCIndexClass, ABCSeriesĮ File "/home/travis/virtualenv/python3.6.10/lib/python3.6/site-packages/pandas-1.2.0rc0-p圓.6-linux-x86_64.egg/pandas/core/dtypes/generic.py", line 2Į Synta圎rror: future feature annotations is not defined /./virtualenv/python3.6.10/lib/python3.6/site-packages/pandas-1.2.0rc0-p圓.6-linux-x86_64.egg/pandas/core/dtypes/dtypes.py:27: in įrom import ExtensionDtype, register_extension_dtype High_dimensional_sampling/functions.py:6: in functions import TestFunction, MLFunction Annotations were introduced in Python 3.0 originally without any specific purpose. High_dimensional_sampling/experiments.py:11: in įrom. experiments import (PosteriorSamplingExperiment, # noqa: F401 High_dimensional_sampling/_init_.py:4: in įrom. /./virtualenv/python3.6.10/lib/python3.6/site-packages/_pytest/assertion/rewrite.py:152: in exec_moduleįrom high_dimensional_sampling import procedures as proc To reiterate, that depends on the external tools understanding that this is valid. /./virtualenv/python3.6.10/lib/python3.6/site-packages/_pytest/python.py:511: in _importtestmodule For use cases restricted to type annotations, Python files with the annotations future-import (available since Python 3.7) can parameterize standard collections, including builtins. The unit tests performed by Travis run fine in Python3.7, but don't start at all in Python3.6, as the import of pandas raises a whole lot of errors like the following _ ERROR collecting tests/test_procedures.py _ This package has pandas as a dependency and is tested in both Python3.6 and Python3.7. I am working on a Python package for which I use CI through Travis.
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