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Add type annotations #1761
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Add type annotations #1761
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@@ -327,7 +327,7 @@ class Rule(object): | |||
"""Base package filter rule""" | |||
|
|||
#: Rule name | |||
name = None | |||
name: str |
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This pattern appears on abstract base classes in a number of places, and we have 3 choices:
Option 1:
name: str | None = None
typically produces many spurious mypy errors, because the code assumes the value is a string everywhere, and the None
-case is not handled.
Option 2:
name: str
only safe if we're sure that the name
attribute is always accessed on concrete sub-classes, otherwise will result in an AttributeError
since this does not actually create an attribute.
Option 3:
@property
@abstractmethod
def name(self) -> str:
raise NotImplementedError
Provides us some guarantee that sub-classes actually implement name
, but it cannot be accessed from the class, only from an instance.
def __eq__(self, other): | ||
def __eq__(self, other: object) -> bool: | ||
if not isinstance(other, FallbackComparable): | ||
return NotImplemented |
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mypy
strongly prefers that comparison functions define the type of other
as object
. by returning NotImplemented
python will then defer to the other
object in the comparison to handle equality if it implements it. This should not change the behavior as long as other
is always FallbackComparable
within Rez.
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Implementation comments should go in the code.
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will do.
pass | ||
|
||
def iter_packages(self) -> Iterator[Package]: | ||
raise NotImplementedError |
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All subclasses of PackageFamilyResource
implement this method, so it appears to be considered an abstractmethod
of PackageFamilyResource
. Defining it simplifies some type annotation problems.
@property | ||
@abstractmethod | ||
def parent(self) -> PackageRepositoryResource: | ||
raise NotImplementedError |
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same situation here as with PackageFamilyResource.iter_packages
.
@property | ||
@abstractmethod | ||
def parent(self) -> PackageRepositoryResource: | ||
raise NotImplementedError |
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here as well.
@@ -319,6 +326,7 @@ def get_variant(self, index=None): | |||
for variant in self.iter_variants(): | |||
if variant.index == index: | |||
return variant | |||
return None |
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mypy prefer explicit return None
statements
raise ResolvedContextError( | ||
"Cannot perform operation in a failed context") | ||
return _check | ||
|
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mypy does not like these decorators defined at the class-level.
We have a few options:
|
Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #1761 +/- ##
==========================================
- Coverage 59.30% 59.16% -0.15%
==========================================
Files 126 127 +1
Lines 17210 17452 +242
Branches 3015 3049 +34
==========================================
+ Hits 10206 10325 +119
- Misses 6319 6408 +89
- Partials 685 719 +34 ☔ View full report in Codecov by Sentry. |
I got bored and added lots more, particularly focused on the solver module. Once the solver module is complete, we can experiment with compiling it to a c-extension using mypyc, which could provide a big speed boost! |
I now have |
self.dirty = True | ||
return super().append(*args, **kwargs) | ||
if not TYPE_CHECKING: | ||
def append(self, *args, **kwargs): |
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Since this class inherits from list
it's easier to rely on the type hints coming from that base class than to redefine them here, so we hide them by placing them behind not TYPE_CHECKING
. In reality, the runtime value of TYPE_CHECKING
is always False
.
def get_plugin_class(self, plugin_type: str, plugin_name: str, expected_type: type[T]) -> type[T]: | ||
pass | ||
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||
def get_plugin_class(self, plugin_type, plugin_name, expected_type=None): | ||
"""Return the class registered under the given plugin name.""" | ||
plugin = self._get_plugin_type(plugin_type) |
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Added a new argument here to validate the returned result. This provides both runtime and static validation.
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Could plugin_type
be an enum or something like that? This would remove the need for expected_type right? Or maybe we could use overloads with Literals for expected_type
?
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this uses type vars to describe a generic function, i.e. a function where the types of its arguments are related to each other. In our case, the type of the argument expected_type
is related to the output type.
Using a literal would mean we would have to define a literal value and a function overload for every possible output type, like this:
@overload
def get_plugin_class(self, plugin_type: str, plugin_name: str, expected_type: Literal["Foo"]) -> type[Foo]:
pass
@overload
def get_plugin_class(self, plugin_type: str, plugin_name: str, expected_type: Literal["Bar"]) -> type[Bar]:
pass
In a plugin environment where users can define their own types, we obviously cannot define a string constant for every possible type.
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Users can't define their own types. They can only create new plugin of some pre-defined types. Anybody adding new plugin types should do so in rez itself and not outside.
"""Perform a package resolve, and store the result. | ||
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||
Args: | ||
package_requests (list[typing.Union[str, PackageRequest]]): request | ||
package_requests (list[typing.Union[str, Requirement]]): request |
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I noticed that everywhere that we've documented types as PackageRequest
, they appear to actually be Requirement
. I'm not sure if there any real-world exceptions to this.
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Here it's really supposed to be a PackageRequest
if I'm not mistaken. But there is technically no differences between the two once the instantiated since PackageRequest
inherits from Requirement
and only overloads __init__
to check the inputs.
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The kind of haphazard use and documentation of PackageRequest
and PackageRequest
results in some very difficult situations to accurately add type annotations. If you want to see for yourself, check out the code, change this to PackageRequest
and observe the new errors produced by mypy.
@@ -884,7 +912,7 @@ def _rt(t): | |||
return | |||
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_pr("resolved packages:", heading) | |||
rows = [] | |||
rows3: list[tuple[str, str, str]] = [] |
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you can't redefine types with mypy, so you need to use new variable names.
@@ -88,7 +88,7 @@ def shell(self): | |||
args = ['ps', '-o', 'args=', '-p', str(parent_pid)] | |||
proc = sp.Popen(args, stdout=sp.PIPE) | |||
output = proc.communicate()[0] | |||
shell = os.path.basename(output.strip().split()[0]).replace('-', '') | |||
shell = os.path.basename(output.decode().strip().split()[0]).replace('-', '') |
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output
is bytes
in python3, so need to call decode()
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We use text=True
, so it should be string isn't it?
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We didn't use text=True
here. I could pass text=True
to Popen
.
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if TYPE_CHECKING: | ||
cached_property = property | ||
else: | ||
class cached_property(object): |
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it's much easier to pretend that cached_property
is property
than to type hint all the subtleties of a descriptor.
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But we loose the uncache
method.
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typing.TYPE_CHECKING
always resolve to False
at runtime and True
only during static analysis. So the code within the if TYPE_CHECKING
block will never run. It's a way to simplify certain type analysis situations that arise.
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typing.TYPE_CHECKING always resolve to False
I know, but we are loosing stuff during typing. That's my whole point (the same apply to all my comments that are similar to this one).
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in what way would the static analysis be degraded by using property
instead of cached_property
? To my knowledge, they are functionally equivalent from a static analysis POV: the types returned are the same.
self.depth_counts: dict | ||
self.solve_begun: bool | ||
self.solve_time: float | ||
self.load_time: float |
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these values are never actually None
, so we define the types here, and their values are assigned in _init()
@@ -74,9 +97,6 @@ class SolverStatus(Enum): | |||
cyclic = ("The solve contains a cycle.", ) | |||
unsolved = ("The solve has started, but is not yet solved.", ) | |||
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def __init__(self, description): | |||
self.description = description | |||
|
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mypyc did not like adding a new __init__
for Enum
, so it was simple enough to replace this attribute with a call to the enum value
.
"""Reset the solver, removing any current solve.""" | ||
if not self.request_list.conflict: | ||
phase = _ResolvePhase(self.request_list.requirements, solver=self) | ||
phase = _ResolvePhase(solver=self) |
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This appears to be a bug: _ResolvePhase
only takes one argument. mypy to the rescue.
I found I probably won't have time to dig into this much more, but once this PR is merged I'll make a new PR with the changes necessary for people to test the compiled version of rez. |
Note: this PR likely invalidates #1745 |
@instinct-vfx Can you or someone from the Rez group have a look at this, please? |
return self.build_system.working_dir | ||
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def build(self, install_path=None, clean=False, install=False, variants=None): | ||
def build(self, install_path: str | None = None, clean: bool = False, |
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Using str | None
means we need to drop support for python 3.7. I'm not sure we are ready for this yet.
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No, use of str | None
is safe in python 3.7 as long as you use from __future__ import annotations
. This backports behavior from python 3.9 that ensures that type annotations are recorded as strings within __annotations__
attributes, which means they are not evaluated at runtime unless inspect.get_annoations
is called. The effect of from __future__ import annotations
is that you can put basically anything you want into an annotation, it doesn't need to be valid at runtime.
The only thing breaking python 3.7 compatibility here is the use of TypedDict
and Protocol
, as mentioned in another comment. I presented 3 options for preserving the use of these classes in the other comment.
I noticed that the only python 3.7 tests that are currently run are for MacOS, which I took as an indicator that python 3.7 would be dropped soon. Is there a schedule for deprecation?
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By the way, I fixed the python 3.7 compatibility issue with TypedDict
and Protocol
, so that should not be a blocker anymore.
@chadrik You need to sign the CLA before we can even start to look at the PR. |
I work for Scanline, which is owned by Netflix, and I'm meeting with our CLA manager on Monday. I made this contribution on my own time: can choose individual vs corporate CLA on a per PR basis? |
I don't think you "can" but your account can be associated to an an ICLA and a CCLA. But I'm not a lawyer so I can't help more than that. If you and or your employer/CLA manager have questions, you can contact the LF support by following the link in the EasyCLA comment: #1761 (comment). |
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CLA is signed! |
@@ -143,12 +167,12 @@ def __init__(self, working_dir, opts=None, package=None, | |||
self.opts = opts | |||
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@classmethod | |||
def is_valid_root(cls, path): | |||
def is_valid_root(cls, path: str, package=None) -> bool: | |||
"""Return True if this build system can build the source in path.""" |
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sub-classes are expected to have the package
argument. I think this was just an oversight on the base class.
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What type should it have?
@@ -614,13 +633,13 @@ def from_pod(cls, data): | |||
) | |||
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class PackageOrderList(list): | |||
class PackageOrderList(List[PackageOrder]): |
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Note that we use typing.List
here instead of list
because list
does not become indexable at runtime until python 3.9. It's still safe to use list[X]
inside annotations as long as we use from __future__ import annotations
.
Any thoughts on this PR? |
Hey @chadrik, I made a first good read last week and I'll try to do another one soon. If you have the time, I would really love to see a GitHub Actions workflow that would run mypy on all pull requests. |
Me too! The challenge is that there are still a lot of errors. These are not the result of incorrect annotations, but rather due to code patterns which are difficult to annotate correctly without more invasion refactors. For example, there are quite a few objects which dynamically generate attributes, and that's a static typing anti-pattern. If you'd like an Action that runs mypy but allows failure for now, that's pretty easy, but if you want failures to block PRs, that'll take a lot more work. I'd prefer not to make that a blocker to merging this, though, because I've had to rebase and fix merge conflicts a few times already. I do have a plan for how we can get to zero failures in the mid-term: I wrote a tool which allows you to specify patterns for errors to ignore, but I need to update it. |
I think we can introduce a workflow that will fail for newly introduced errors and warnings. I'm sure someone already thought of that somewhere and we can probably re-use what they did? Basically, I'd like to verify that your changes work as expected and that we don't regress in the future and that new code is typed hint. Mypy can also be configured on a per module basis right? |
@JeanChristopheMorinPerso I used a project called If new errors are introduced they will need to be resolved (i.e. errors not filtered by the established baseline regexes). The regexes are bound to particular files but not to line numbers. The mypy CI job will pass if a developer fixes an error, but in this case it is good practice to set a new baseline using |
Not sure if it was discussed already, but is it feasible to only use Main benefit would be people using mypy integration in their editors wouldn't be flooded with the errors ignored by mypy-baseline I think mypy also warns when the ignore is no longer needed, so if some refactoring resolves the issue, the comments are easy to clean up |
There are about 300 errors, so using inline ignores has the downside of littering the code with type comments. It also means that developers need to be careful to move the ignore comments to the proper locations when refactoring code, and the solution not always obvious. I think at this stage what I’ve presented here is a very low effort way to ease this project into type annotations. With the mypy-baseline project there is a simple way to just bulk add problems to the ignore list, if necessary. FWIW, most of the remaining errors will require some pretty major refactors to resolve — meaning we probably need to replace the schema objects with something like dataclasses or pydantic to remove dynamic attribute generation. If folks are interested in taking on some more substantial changes to get the code base fully covered, I’m happy to do that. |
Shall we get this merged? |
Hi! Is there anything I can do to get this across the line? |
Signed-off-by: Chad Dombrova <[email protected]>
Signed-off-by: Chad Dombrova <[email protected]>
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Rebased to get all the latest changes from main. |
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Second batch of comments. Note that I'm not yet done with the review. Please don't push changes until I'm done.
@@ -67,9 +89,10 @@ def get_valid_build_systems(working_dir, package=None): | |||
return clss | |||
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def create_build_system(working_dir, buildsys_type=None, package=None, opts=None, | |||
def create_build_system(working_dir: str, buildsys_type: str | None = None, | |||
package=None, opts=None, |
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package=None, opts=None, | |
package: Package | None = None, opts: argparse.Namespace | None = None, |
?
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As mentioned in the other comment, I'd prefer for new annotations to be done in a new PR, so that we can keep the scope of this PR under control. There are literally thousands of unannotated arguments that still need to be dealt with.
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From what I see, the current typing seems arbitrary. Some stuff was typed, some others don't and I'm not too sure what the logic is. I think it would be preferable to change the whole signature instead of just changing half of it since we are anyway changing it.
"""Return the name of the build system, eg 'make'.""" | ||
raise NotImplementedError | ||
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def __init__(self, working_dir, opts=None, package=None, | ||
write_build_scripts=False, verbose=False, build_args=[], | ||
def __init__(self, working_dir: str, opts=None, |
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def __init__(self, working_dir: str, opts=None, | |
def __init__(self, working_dir: str, opts: argparse.Namespace | None = None, |
?
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I'd prefer for new annotations to be done in a new PR, so that we can keep the scope of this PR under control. There are literally thousands of unannotated arguments that still need to be dealt with.
write_build_scripts: bool = False, verbose: bool = False, build_args=[], | ||
child_build_args=[]): |
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write_build_scripts: bool = False, verbose: bool = False, build_args=[], | |
child_build_args=[]): | |
write_build_scripts: bool = False, verbose: bool = False, build_args" Sequence[str]=[], | |
child_build_args: Sequence[str]=[]): |
? (we could potentially do this later since we'd need to remove the default lists.
@@ -143,12 +167,12 @@ def __init__(self, working_dir, opts=None, package=None, | |||
self.opts = opts | |||
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@classmethod | |||
def is_valid_root(cls, path): | |||
def is_valid_root(cls, path: str, package=None) -> bool: | |||
"""Return True if this build system can build the source in path.""" |
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What type should it have?
def __eq__(self, other): | ||
def __eq__(self, other: object) -> bool: | ||
if not isinstance(other, FallbackComparable): | ||
return NotImplemented |
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Implementation comments should go in the code.
@@ -42,8 +42,8 @@ def get_patched_request(requires, patchlist): | |||
'^': (True, True, True) | |||
} | |||
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requires = [Requirement(x) if not isinstance(x, Requirement) else x | |||
for x in requires] | |||
requires: list[Requirement | None] = [ |
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Can it really contain a None
?
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The code below says:
for i, req in enumerate(requires):
if req is None or req.name != name:
continue
One way to try to find out would be to annotate the function and see if mypy detects any cases where None is passed:
def get_patched_request(requires: list[Requirement | str], patchlist):
@@ -555,7 +557,8 @@ def _difftool(self): | |||
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# singleton | |||
platform_ = None | |||
# FIXME: is is valid for platform_ to be None? |
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Technically yes, say on solaris, freebsd, etc.
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allowing it to be None causes tons of mypy errors because there are lots of places where platform_
is used without checking if it's None.
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And to be perfectly clear, these errors indicate that there are many places with the rez code that will fail at runtime if platform_ is None.
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Sure, I was just answering the question. It will fail if it's None. We could fix this by simply adding an else clause and raise a exception with a clear error message.
if TYPE_CHECKING: | ||
# this is not available in typing until 3.11, but due to __future__.annotations | ||
# we can use it without really importing it | ||
from typing import Self |
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This makes it impossible to run mypy with python < 3.11 right?
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no, because this is inside a if TYPE_CHECKING
block.
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as I explained in my other comment code within an if TYPE_CHECKING
does not actually run.
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Note how I said "run mypy". Like, if we were to run mypy with python_version = 3.7
for example.
if (self.name_ != other.name_) or (self.range is None): | ||
return False | ||
if self.conflict: | ||
return (other.version_ in self.range_) | ||
else: | ||
return (other.version_ not in self.range_) | ||
else: | ||
return NotImplemented |
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Should this raise an NotImplementedError
instead?
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Nope. NotImplemented
is a singleton that is used to indicate "I don't support this comparison", and python will fall back to other object's special method to see if it supports the comparison.
https://docs.python.org/3/reference/datamodel.html#object.__ge__
When no appropriate method returns any value other than NotImplemented, the == and != operators will fall back to is and is not, respectively.
This is a fundamental part of how comparison works in python, and returning NotImplemented
is the most correct behavior.
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But should we allow comparing with anything else than a Requirement
or VersionedObject
? I wouldn't consider this function a comparator per say.
if self._str is None: | ||
pre_str = '~' if self.negate_ else ('!' if self.conflict_ else '') | ||
range_str = '' | ||
sep_str = '' | ||
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range_ = self.range_ | ||
if self.negate_: | ||
# Note: the only time that range_ is None is if self.negate_ is True | ||
if self.negate_ or range_ is None: |
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I'm not sure this is the right thing to do. Why should range_
be None?
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this is the init code:
m = self.sep_regex.search(s)
if m:
i = m.start()
self.name_ = s[:i]
req_str = s[i:]
if req_str[0] in ('-', '@', '#'):
self.sep_ = req_str[0]
req_str = req_str[1:]
self.range_ = VersionRange(
req_str, invalid_bound_error=invalid_bound_error)
if self.negate_:
self.range_ = ~self.range_
elif self.negate_:
self.name_ = s
# rare case - '~foo' equates to no effect
self.range_ = None
else:
self.name_ = s
self.range_ = VersionRange()
Notice that if self.negate_
is True, self._range_
is set to None
.
This is a first pass at adding type annotations throughout the code-base. Mypy is not fully passing yet, but it's getting close.
Addresses #1631