This reverts commit ca80340f7a717a9c8cd1780ba12e5bd366c9900d.
Nope, we still need the --without-hashes because this still fails
on Python 3.7, but not 3.8 or 3.9. From looking around it seems
that nobody can agree whether poetry should handle this, pip should
handle it, or upstream projects should pin their dependencies.
Generated with poetry export:
$ poetry export -f requirements.txt > requirements.txt
$ poetry export --dev -f requirements.txt > requirements-dev.txt
Trying to see if we no longer need --without-hashes since we don't
support Python 3.6 anymore.
Generated with poetry export:
$ poetry export --without-hashes -f requirements.txt > requirements.txt
$ poetry export --without-hashes --dev -f requirements.txt > requirements-dev.txt
I am trying `--without-hashes` to work around an error on pip install
when running on Python 3.6 in Travis:
ERROR: In --require-hashes mode, all requirements must have their versions pinned with ==.
Generated with poetry export:
$ poetry export --without-hashes -f requirements.txt > requirements.txt
$ poetry export --without-hashes --dev -f requirements.txt > requirements-dev.txt
I am trying `--without-hashes` to work around an error on pip install
when running on Python 3.6 in Travis:
ERROR: In --require-hashes mode, all requirements must have their versions pinned with ==.
I just came across some metadata that had unnecessary multi-value
separators at the end of a field, causing a blank value to be used.
For example: "Kenya||Tanzania||"
Generated with poetry export:
$ poetry export --without-hashes -f requirements.txt > requirements.txt
$ poetry export --without-hashes --dev -f requirements.txt > requirements-dev.txt
I am trying `--without-hashes` to work around an error on pip install
when running on Python 3.6 in Travis:
ERROR: In --require-hashes mode, all requirements must have their versions pinned with ==.
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.
List of updated modules:
- Updating numpy (1.19.1 -> 1.19.2)
- Updating pygments (2.6.1 -> 2.7.1)
- Updating pandas (1.1.1 -> 1.1.2)
All tests still pass according to pytest.
