##// END OF EJS Templates
typing: attempt to remove @overloads in the platform module for stdlib methods...
typing: attempt to remove @overloads in the platform module for stdlib methods This is mostly successful, as examining util.pyi, posix.pyi, and windows.pyi after a pytype run shows that the type overloads for `oslink`, `readlink`, `removedirs`, `rename`, `split`, and `unlink` have been removed. (Some of these still have an @overload, but the differences are the variable names, not the types.) However, @overloads remain for `abspath` and `normpath` for some reason. It's useful to redefine these methods for the type checking phase because in addition to excluding str and PathLike variants, some of these functions have optional args in stdlib that aren't implemented in the custom implementation on Windows, and we want the type checking to flag that instead of assuming it's an allowable overload everywhere. One last quirk I noticed that I can't explain- `pycompat.TYPE_CHECKING` is always False, so the conditionals need to check `typing.TYPE_CHECKING` directly. I tried dropping the custom code for assigning `pycompat.TYPE_CHECKING` and simply did `from typing import TYPE_CHECKING` directly in pycompat.py, and used `pycompat.TYPE_CHECKING` for the conditional here... and pytype complained that `pycompat` doesn't have the `TYPE_CHECKING` variable.

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randomaccessfile.py
159 lines | 5.3 KiB | text/x-python | PythonLexer
# Copyright Mercurial Contributors
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
import contextlib
from ..i18n import _
from .. import (
error,
util,
)
_MAX_CACHED_CHUNK_SIZE = 1048576 # 1 MiB
PARTIAL_READ_MSG = _(
b'partial read of revlog %s; expected %d bytes from offset %d, got %d'
)
def _is_power_of_two(n):
return (n & (n - 1) == 0) and n != 0
class randomaccessfile:
"""Accessing arbitrary chuncks of data within a file, with some caching"""
def __init__(
self,
opener,
filename,
default_cached_chunk_size,
initial_cache=None,
):
# Required by bitwise manipulation below
assert _is_power_of_two(default_cached_chunk_size)
self.opener = opener
self.filename = filename
self.default_cached_chunk_size = default_cached_chunk_size
self.writing_handle = None # This is set from revlog.py
self.reading_handle = None
self._cached_chunk = b''
self._cached_chunk_position = 0 # Offset from the start of the file
if initial_cache:
self._cached_chunk_position, self._cached_chunk = initial_cache
def clear_cache(self):
self._cached_chunk = b''
self._cached_chunk_position = 0
def _open(self, mode=b'r'):
"""Return a file object"""
return self.opener(self.filename, mode=mode)
@contextlib.contextmanager
def _open_read(self, existing_file_obj=None):
"""File object suitable for reading data"""
# Use explicit file handle, if given.
if existing_file_obj is not None:
yield existing_file_obj
# Use a file handle being actively used for writes, if available.
# There is some danger to doing this because reads will seek the
# file. However, revlog._writeentry performs a SEEK_END before all
# writes, so we should be safe.
elif self.writing_handle:
yield self.writing_handle
elif self.reading_handle:
yield self.reading_handle
# Otherwise open a new file handle.
else:
with self._open() as fp:
yield fp
@contextlib.contextmanager
def reading(self):
"""Context manager that keeps the file open for reading"""
if (
self.reading_handle is None
and self.writing_handle is None
and self.filename is not None
):
with self._open() as fp:
self.reading_handle = fp
try:
yield
finally:
self.reading_handle = None
else:
yield
def read_chunk(self, offset, length, existing_file_obj=None):
"""Read a chunk of bytes from the file.
Accepts an absolute offset, length to read, and an optional existing
file handle to read from.
If an existing file handle is passed, it will be seeked and the
original seek position will NOT be restored.
Returns a str or buffer of raw byte data.
Raises if the requested number of bytes could not be read.
"""
end = offset + length
cache_start = self._cached_chunk_position
cache_end = cache_start + len(self._cached_chunk)
# Is the requested chunk within the cache?
if cache_start <= offset and end <= cache_end:
if cache_start == offset and end == cache_end:
return self._cached_chunk # avoid a copy
relative_start = offset - cache_start
return util.buffer(self._cached_chunk, relative_start, length)
return self._read_and_update_cache(offset, length, existing_file_obj)
def _read_and_update_cache(self, offset, length, existing_file_obj=None):
# Cache data both forward and backward around the requested
# data, in a fixed size window. This helps speed up operations
# involving reading the revlog backwards.
real_offset = offset & ~(self.default_cached_chunk_size - 1)
real_length = (
(offset + length + self.default_cached_chunk_size)
& ~(self.default_cached_chunk_size - 1)
) - real_offset
with self._open_read(existing_file_obj) as file_obj:
file_obj.seek(real_offset)
data = file_obj.read(real_length)
self._add_cached_chunk(real_offset, data)
relative_offset = offset - real_offset
got = len(data) - relative_offset
if got < length:
message = PARTIAL_READ_MSG % (self.filename, length, offset, got)
raise error.RevlogError(message)
if offset != real_offset or real_length != length:
return util.buffer(data, relative_offset, length)
return data
def _add_cached_chunk(self, offset, data):
"""Add to or replace the cached data chunk.
Accepts an absolute offset and the data that is at that location.
"""
if (
self._cached_chunk_position + len(self._cached_chunk) == offset
and len(self._cached_chunk) + len(data) < _MAX_CACHED_CHUNK_SIZE
):
# add to existing cache
self._cached_chunk += data
else:
self._cached_chunk = data
self._cached_chunk_position = offset