Support linting when missing sem_open syscall

Platforms such as Termux on Android, and other exotic devices
do not provide a sem_open implementation on the OS level. This
is problematic, as the error resulting from this occurs when
calling multiprocessing.Pool, throwing an unhandled ImportError.

The issue itself is outlined in https://bugs.python.org/issue3770.

This change allows devices missing this system call to respond
to the missing feature by falling back to synchronous execution,
which appears to be the default behaviour if the multiprocessing
module is not found.

This change also adds a potential fix for developers working
on platforms where multiprocessing itself cannot be imported.
The existing code would set the name referencing the import to
None, but there are no clear checks to ensure this does not
result in an AttributeError later when multiprocessing.Pool
has accession attempts.

Existing users should see no difference in functionality, as they
will assumably already be able to use flake8, so will not be
missing this sem_open call.

Users on devices without the sem_open call will now be able
to use flake8 where they would be unable to before due to
unhandled ImportErrors.

1 files changed, 23 insertions, 11 deletions

diff --git a/src/flake8/checker.py b/src/flake8/checker.py
index d993cb9..ea8b5d3 100644
--- a/src/flake8/checker.py
+++ b/src/flake8/checker.py
@@ -9,7 +9,7 @@ import tokenize
 from typing import Dict, List, Optional, Tuple
 
 try:
-    import multiprocessing
+    import multiprocessing.pool
 except ImportError:
     multiprocessing = None  # type: ignore
 
@@ -262,18 +262,16 @@ class Manager(object):
             results_found += len(results)
         return (results_found, results_reported)
 
-    def run_parallel(self):
+    def run_parallel(self):  # type: () -> None
         """Run the checkers in parallel."""
         # fmt: off
         final_results = collections.defaultdict(list)  # type: Dict[str, List[Tuple[str, int, int, str, Optional[str]]]]  # noqa: E501
-        final_statistics = collections.defaultdict(dict)  # type: Dict[str, Dict[str, None]]  # noqa: E501
+        final_statistics = collections.defaultdict(dict)  # type: Dict[str, Dict[str, int]]  # noqa: E501
         # fmt: on
 
-        try:
-            pool = multiprocessing.Pool(self.jobs, _pool_init)
-        except OSError as oserr:
-            if oserr.errno not in SERIAL_RETRY_ERRNOS:
-                raise
+        pool = _try_initialize_processpool(self.jobs)
+
+        if pool is None:
             self.run_serial()
             return
 
@@ -303,12 +301,12 @@ class Manager(object):
             checker.results = final_results[filename]
             checker.statistics = final_statistics[filename]
 
-    def run_serial(self):
+    def run_serial(self):  # type: () -> None
         """Run the checkers in serial."""
         for checker in self.checkers:
             checker.run_checks()
 
-    def run(self):
+    def run(self):  # type: () -> None
         """Run all the checkers.
 
         This will intelligently decide whether to run the checks in parallel
@@ -634,11 +632,25 @@ class FileChecker(object):
                     self.run_physical_checks(line + "\n")
 
 
-def _pool_init():
+def _pool_init():  # type: () -> None
     """Ensure correct signaling of ^C using multiprocessing.Pool."""
     signal.signal(signal.SIGINT, signal.SIG_IGN)
 
 
+def _try_initialize_processpool(job_count):
+    # type: (int) -> Optional[multiprocessing.pool.Pool]
+    """Return a new process pool instance if we are able to create one."""
+    try:
+        return multiprocessing.Pool(job_count, _pool_init)
+    except OSError as err:
+        if err.errno not in SERIAL_RETRY_ERRNOS:
+            raise
+    except ImportError:
+        pass
+
+    return None
+
+
 def calculate_pool_chunksize(num_checkers, num_jobs):
     """Determine the chunksize for the multiprocessing Pool.