Python zipimport._zip_directory_cache方法代码示例

# 需要导入模块: import zipimport [as 别名]
# 或者: from zipimport import _zip_directory_cache [as 别名]
def _remove_and_clear_zip_directory_cache_data(normalized_path):
    def clear_and_remove_cached_zip_archive_directory_data(path, old_entry):
        old_entry.clear()

    _update_zipimporter_cache(
        normalized_path, zipimport._zip_directory_cache,
        updater=clear_and_remove_cached_zip_archive_directory_data)

# PyPy Python implementation does not allow directly writing to the
# zipimport._zip_directory_cache and so prevents us from attempting to correct
# its content. The best we can do there is clear the problematic cache content
# and have PyPy repopulate it as needed. The downside is that if there are any
# stale zipimport.zipimporter instances laying around, attempting to use them
# will fail due to not having its zip archive directory information available
# instead of being automatically corrected to use the new correct zip archive
# directory information. 

# 需要导入模块: import zipimport [as 别名]
# 或者: from zipimport import _zip_directory_cache [as 别名]
def _replace_zip_directory_cache_data(normalized_path):
        def replace_cached_zip_archive_directory_data(path, old_entry):
            # N.B. In theory, we could load the zip directory information just
            # once for all updated path spellings, and then copy it locally and
            # update its contained path strings to contain the correct
            # spelling, but that seems like a way too invasive move (this cache
            # structure is not officially documented anywhere and could in
            # theory change with new Python releases) for no significant
            # benefit.
            old_entry.clear()
            zipimport.zipimporter(path)
            old_entry.update(zipimport._zip_directory_cache[path])
            return old_entry

        _update_zipimporter_cache(
            normalized_path, zipimport._zip_directory_cache,
            updater=replace_cached_zip_archive_directory_data) 

# 需要导入模块: import zipimport [as 别名]
# 或者: from zipimport import _zip_directory_cache [as 别名]
def _remove_and_clear_zip_directory_cache_data(normalized_path):
    def clear_and_remove_cached_zip_archive_directory_data(path, old_entry):
        old_entry.clear()

    _update_zipimporter_cache(
        normalized_path, zipimport._zip_directory_cache,
        updater=clear_and_remove_cached_zip_archive_directory_data)


# PyPy Python implementation does not allow directly writing to the
# zipimport._zip_directory_cache and so prevents us from attempting to correct
# its content. The best we can do there is clear the problematic cache content
# and have PyPy repopulate it as needed. The downside is that if there are any
# stale zipimport.zipimporter instances laying around, attempting to use them
# will fail due to not having its zip archive directory information available
# instead of being automatically corrected to use the new correct zip archive
# directory information. 

# 需要导入模块: import zipimport [as 别名]
# 或者: from zipimport import _zip_directory_cache [as 别名]
def uncache_zipdir(path):
    """
    Remove any globally cached zip file related data for `path`

    Stale zipimport.zipimporter objects need to be removed when a zip file is
    replaced as they contain cached zip file directory information. If they are
    asked to get data from their zip file, they will use that cached
    information to calculate the data location in the zip file. This calculated
    location may be incorrect for the replaced zip file, which may in turn
    cause the read operation to either fail or return incorrect data.

    Note we have no way to clear any local caches from here. That is left up to
    whomever is in charge of maintaining that cache.

    """
    normalized_path = normalize_path(path)
    _uncache(normalized_path, zipimport._zip_directory_cache)
    _uncache(normalized_path, sys.path_importer_cache)