#----------------------------------------------------------------------------- # Copyright (c) 2005-2020, PyInstaller Development Team. # # Distributed under the terms of the GNU General Public License (version 2 # or later) with exception for distributing the bootloader. # # The full license is in the file COPYING.txt, distributed with this software. # # SPDX-License-Identifier: (GPL-2.0-or-later WITH Bootloader-exception) #----------------------------------------------------------------------------- """ Define a modified ModuleGraph that can return its contents as a TOC and in other ways act like the old ImpTracker. TODO: This class, along with TOC and Tree should be in a separate module. For reference, the ModuleGraph node types and their contents: nodetype identifier filename Script full path to .py full path to .py SourceModule basename full path to .py BuiltinModule basename None CompiledModule basename full path to .pyc Extension basename full path to .so MissingModule basename None Package basename full path to __init__.py packagepath is ['path to package'] globalnames is set of global names __init__.py defines The main extension here over ModuleGraph is a method to extract nodes from the flattened graph and return them as a TOC, or added to a TOC. Other added methods look up nodes by identifier and return facts about them, replacing what the old ImpTracker list could do. """ from __future__ import print_function import os import re import sys import traceback from copy import deepcopy from .. import HOMEPATH, configure from .. import log as logging from ..log import INFO, DEBUG, TRACE from ..building.datastruct import TOC from .imphook import AdditionalFilesCache, ModuleHookCache from .imphookapi import PreSafeImportModuleAPI, PreFindModulePathAPI from ..compat import importlib_load_source, is_py2, PY3_BASE_MODULES,\ PURE_PYTHON_MODULE_TYPES, BINARY_MODULE_TYPES, VALID_MODULE_TYPES, \ BAD_MODULE_TYPES, MODULE_TYPES_TO_TOC_DICT from ..lib.modulegraph.find_modules import get_implies from ..lib.modulegraph.modulegraph import ModuleGraph from ..utils.hooks import collect_submodules, is_package from ..utils.misc import load_py_data_struct logger = logging.getLogger(__name__) class PyiModuleGraph(ModuleGraph): """ Directed graph whose nodes represent modules and edges represent dependencies between these modules. This high-level subclass wraps the lower-level `ModuleGraph` class with support for graph and runtime hooks. While each instance of `ModuleGraph` represents a set of disconnected trees, each instance of this class *only* represents a single connected tree whose root node is the Python script originally passed by the user on the command line. For that reason, while there may (and typically do) exist more than one `ModuleGraph` instance, there typically exists only a singleton instance of this class. Attributes ---------- _hooks : ModuleHookCache Dictionary mapping the fully-qualified names of all modules with normal (post-graph) hooks to the absolute paths of such hooks. See the the `_find_module_path()` method for details. _hooks_pre_find_module_path : ModuleHookCache Dictionary mapping the fully-qualified names of all modules with pre-find module path hooks to the absolute paths of such hooks. See the the `_find_module_path()` method for details. _hooks_pre_safe_import_module : ModuleHookCache Dictionary mapping the fully-qualified names of all modules with pre-safe import module hooks to the absolute paths of such hooks. See the `_safe_import_module()` method for details. _user_hook_dirs : list List of the absolute paths of all directories containing user-defined hooks for the current application. _excludes : list List of module names to be excluded when searching for dependencies. _additional_files_cache : AdditionalFilesCache Cache of all external dependencies (e.g., binaries, datas) listed in hook scripts for imported modules. _base_modules: list Dependencies for `base_library.zip` (which remain the same for every executable). """ # Note: these levels are completely arbitrary and may be adjusted if needed. LOG_LEVEL_MAPPING = {0: INFO, 1: DEBUG, 2: TRACE, 3: TRACE, 4: TRACE} def __init__(self, pyi_homepath, user_hook_dirs=(), excludes=(), **kwargs): super(PyiModuleGraph, self).__init__(excludes=excludes, **kwargs) # Homepath to the place where is PyInstaller located. self._homepath = pyi_homepath # modulegraph Node for the main python script that is analyzed # by PyInstaller. self._top_script_node = None # Absolute paths of all user-defined hook directories. self._excludes = excludes self._reset(user_hook_dirs) self._analyze_base_modules() self._available_rthooks = load_py_data_struct( os.path.join(self._homepath, 'PyInstaller', 'loader', 'rthooks.dat')) def _reset(self, user_hook_dirs): """ Reset for another set of scripts. This is primary required for running the test-suite. """ self._top_script_node = None self._additional_files_cache = AdditionalFilesCache() self._user_hook_dirs = user_hook_dirs # Hook-specific lookup tables. # These need to reset when reusing cached PyiModuleGraph to avoid # hooks to refer to files or data from another test-case. logger.info('Caching module graph hooks...') self._hooks = self._cache_hooks("") self._hooks_pre_safe_import_module = self._cache_hooks('pre_safe_import_module') self._hooks_pre_find_module_path = self._cache_hooks('pre_find_module_path') @staticmethod def _findCaller(*args, **kwargs): # Used to add an additional stack-frame above logger.findCaller. # findCaller expects the caller to be three stack-frames above itself. return logger.findCaller(*args, **kwargs) def msg(self, level, s, *args): """ Print a debug message with the given level. 1. Map the msg log level to a logger log level. 2. Generate the message format (the same format as ModuleGraph) 3. Find the caller, which findCaller expects three stack-frames above itself: [3] caller -> [2] msg (here) -> [1] _findCaller -> [0] logger.findCaller 4. Create a logRecord with the caller's information. 5. Handle the logRecord. """ try: level = self.LOG_LEVEL_MAPPING[level] except KeyError: return if not logger.isEnabledFor(level): return msg = "%s %s" % (s, ' '.join(map(repr, args))) if is_py2: # Python 2 does not have 'sinfo' try: fn, lno, func = self._findCaller() except ValueError: # pragma: no cover fn, lno, func = "(unknown file)", 0, "(unknown function)" record = logger.makeRecord( logger.name, level, fn, lno, msg, [], None, func, None) else: try: fn, lno, func, sinfo = self._findCaller() except ValueError: # pragma: no cover fn, lno, func, sinfo = "(unknown file)", 0, "(unknown function)", None record = logger.makeRecord( logger.name, level, fn, lno, msg, [], None, func, None, sinfo) logger.handle(record) # Set logging methods so that the stack is correctly detected. msgin = msg msgout = msg def _cache_hooks(self, hook_type): """ Get a cache of all hooks of the passed type. The cache will include all official hooks defined by the PyInstaller codebase _and_ all unofficial hooks defined for the current application. Parameters ---------- hook_type : str Type of hooks to be cached, equivalent to the basename of the subpackage of the `PyInstaller.hooks` package containing such hooks (e.g., `post_create_package` for post-create package hooks). """ # Absolute path of this type hook package's directory. system_hook_dir = configure.get_importhooks_dir(hook_type) # Cache of such hooks. # logger.debug("Caching system %s hook dir %r" % (hook_type, system_hook_dir)) hook_dirs = [system_hook_dir] for user_hook_dir in self._user_hook_dirs: # Absolute path of the user-defined subdirectory of this hook type. # If this directory exists, add it to the list to be cached. user_hook_type_dir = os.path.join(user_hook_dir, hook_type) if os.path.isdir(user_hook_type_dir): # logger.debug("Caching user %s hook dir %r" % (hook_type, hooks_user_dir)) hook_dirs.append(user_hook_type_dir) return ModuleHookCache(self, hook_dirs) def _analyze_base_modules(self): """ Analyze dependencies of the the modules in base_library.zip. """ if is_py2: self._base_modules = () return logger.info('Analyzing base_library.zip ...') required_mods = [] # Collect submodules from required modules in base_library.zip. for m in PY3_BASE_MODULES: if is_package(m): required_mods += collect_submodules(m) else: required_mods.append(m) # Initialize ModuleGraph. self._base_modules = [mod for req in required_mods for mod in self.import_hook(req)] def run_script(self, pathname, caller=None): """ Wrap the parent's 'run_script' method and create graph from the first script in the analysis, and save its node to use as the "caller" node for all others. This gives a connected graph rather than a collection of unrelated trees, """ if self._top_script_node is None: # Remember the node for the first script. try: self._top_script_node = super(PyiModuleGraph, self).run_script(pathname) except SyntaxError as e: print("\nSyntax error in", pathname, file=sys.stderr) formatted_lines = traceback.format_exc().splitlines(True) print(*formatted_lines[-4:], file=sys.stderr) raise SystemExit(1) # Create references from the top script to the base_modules in graph. for node in self._base_modules: self.createReference(self._top_script_node, node) # Return top-level script node. return self._top_script_node else: if not caller: # Defaults to as any additional script is called from the top-level # script. caller = self._top_script_node return super(PyiModuleGraph, self).run_script(pathname, caller=caller) def process_post_graph_hooks(self): """ For each imported module, run this module's post-graph hooks if any. """ # For each iteration of the infinite "while" loop below: # # 1. All hook() functions defined in cached hooks for imported modules # are called. This may result in new modules being imported (e.g., as # hidden imports) that were ignored earlier in the current iteration: # if this is the case, all hook() functions defined in cached hooks # for these modules will be called by the next iteration. # 2. All cached hooks whose hook() functions were called are removed # from this cache. If this cache is empty, no hook() functions will # be called by the next iteration and this loop will be terminated. # 3. If no hook() functions were called, this loop is terminated. logger.info('Processing module hooks...') while True: # Set of the names of all imported modules whose post-graph hooks # are run by this iteration, preventing the next iteration from re- # running these hooks. If still empty at the end of this iteration, # no post-graph hooks were run; thus, this loop will be terminated. hooked_module_names = set() # For each remaining hookable module and corresponding hooks... for module_name, module_hooks in self._hooks.items(): # Graph node for this module if imported or "None" otherwise. module_node = self.findNode( module_name, create_nspkg=False) # If this module has not been imported, temporarily ignore it. # This module is retained in the cache, as a subsequently run # post-graph hook could import this module as a hidden import. if module_node is None: continue # If this module is unimportable, permanently ignore it. if type(module_node).__name__ not in VALID_MODULE_TYPES: hooked_module_names.add(module_name) continue # For each hook script for this module... for module_hook in module_hooks: # Run this script's post-graph hook. module_hook.post_graph() # Cache all external dependencies listed by this script # after running this hook, which could add dependencies. self._additional_files_cache.add( module_name, module_hook.binaries, module_hook.datas) # Prevent this module's hooks from being run again. hooked_module_names.add(module_name) # Prevent all post-graph hooks run above from being run again by the # next iteration. self._hooks.remove_modules(*hooked_module_names) # If no post-graph hooks were run, terminate iteration. if not hooked_module_names: break def _safe_import_module(self, module_basename, module_name, parent_package): """ Create a new graph node for the module with the passed name under the parent package signified by the passed graph node. This method wraps the superclass method with support for pre-import module hooks. If such a hook exists for this module (e.g., a script `PyInstaller.hooks.hook-{module_name}` containing a function `pre_safe_import_module()`), that hook will be run _before_ the superclass method is called. Pre-Safe-Import-Hooks are performed just *prior* to importing the module. When running the hook, the modules parent package has already been imported and ti's `__path__` is set up. But the module is just about to be imported. See the superclass method for description of parameters and return value. """ # If this module has pre-safe import module hooks, run these first. if module_name in self._hooks_pre_safe_import_module: # For the absolute path of each such hook... for hook in self._hooks_pre_safe_import_module[module_name]: # Dynamically import this hook as a fabricated module. logger.info('Processing pre-safe import module hook %s', module_name) hook_module_name = 'PyInstaller_hooks_pre_safe_import_module_' + module_name.replace('.', '_') hook_module = importlib_load_source(hook_module_name, hook.hook_filename) # Object communicating changes made by this hook back to us. hook_api = PreSafeImportModuleAPI( module_graph=self, module_basename=module_basename, module_name=module_name, parent_package=parent_package, ) # Run this hook, passed this object. if not hasattr(hook_module, 'pre_safe_import_module'): raise NameError('pre_safe_import_module() function not defined by hook %r.' % hook_file) hook_module.pre_safe_import_module(hook_api) # Respect method call changes requested by this hook. module_basename = hook_api.module_basename module_name = hook_api.module_name # Prevent subsequent calls from rerunning these hooks. del self._hooks_pre_safe_import_module[module_name] # Call the superclass method. return super(PyiModuleGraph, self)._safe_import_module( module_basename, module_name, parent_package) def _find_module_path(self, fullname, module_name, search_dirs): """ Get a 3-tuple detailing the physical location of the module with the passed name if that module exists _or_ raise `ImportError` otherwise. This method wraps the superclass method with support for pre-find module path hooks. If such a hook exists for this module (e.g., a script `PyInstaller.hooks.hook-{module_name}` containing a function `pre_find_module_path()`), that hook will be run _before_ the superclass method is called. See superclass method for parameter and return value descriptions. """ # If this module has pre-find module path hooks, run these first. if fullname in self._hooks_pre_find_module_path: # For the absolute path of each such hook... for hook in self._hooks_pre_find_module_path[fullname]: # Dynamically import this hook as a fabricated module. logger.info('Processing pre-find module path hook %s', fullname) hook_fullname = 'PyInstaller_hooks_pre_find_module_path_' + fullname.replace('.', '_') hook_module = importlib_load_source(hook_fullname, hook.hook_filename) # Object communicating changes made by this hook back to us. hook_api = PreFindModulePathAPI( module_graph=self, module_name=fullname, search_dirs=search_dirs, ) # Run this hook, passed this object. if not hasattr(hook_module, 'pre_find_module_path'): raise NameError('pre_find_module_path() function not defined by hook %r.' % hook_file) hook_module.pre_find_module_path(hook_api) # Respect method call changes requested by this hook. search_dirs = hook_api.search_dirs # Prevent subsequent calls from rerunning these hooks. del self._hooks_pre_find_module_path[fullname] # Call the superclass method. return super(PyiModuleGraph, self)._find_module_path( fullname, module_name, search_dirs) def get_code_objects(self): """ Get code objects from ModuleGraph for pure Pyhton modules. This allows to avoid writing .pyc/pyo files to hdd at later stage. :return: Dict with module name and code object. """ code_dict = {} mod_types = PURE_PYTHON_MODULE_TYPES for node in self.flatten(start=self._top_script_node): # TODO This is terrible. To allow subclassing, types should never be # directly compared. Use isinstance() instead, which is safer, # simpler, and accepts sets. Most other calls to type() in the # codebase should also be refactored to call isinstance() instead. # get node type e.g. Script mg_type = type(node).__name__ if mg_type in mod_types: if node.code: code_dict[node.identifier] = node.code return code_dict def _make_toc(self, typecode=None, existing_TOC=None): """ Return the name, path and type of selected nodes as a TOC, or appended to a TOC. The selection is via a list of PyInstaller TOC typecodes. If that list is empty we return the complete flattened graph as a TOC with the ModuleGraph note types in place of typecodes -- meant for debugging only. Normally we return ModuleGraph nodes whose types map to the requested PyInstaller typecode(s) as indicated in the MODULE_TYPES_TO_TOC_DICT. We use the ModuleGraph (really, ObjectGraph) flatten() method to scan all the nodes. This is patterned after ModuleGraph.report(). """ # Construct regular expression for matching modules that should be # excluded because they are bundled in base_library.zip. # # This expression matches the base module name, optionally followed by # a period and then any number of characters. This matches the module name and # the fully qualified names of any of its submodules. regex_str = '(' + '|'.join(PY3_BASE_MODULES) + r')(\.|$)' module_filter = re.compile(regex_str) result = existing_TOC or TOC() for node in self.flatten(start=self._top_script_node): # TODO This is terrible. Everything in Python has a type. It's # nonsensical to even speak of "nodes [that] are not typed." How # would that even occur? After all, even "None" has a type! (It's # "NoneType", for the curious.) Remove this, please. # Skip modules that are in base_library.zip. if not is_py2 and module_filter.match(node.identifier): continue # get node type e.g. Script mg_type = type(node).__name__ assert mg_type is not None if typecode and not (mg_type in typecode): # Type is not a to be selected one, skip this one continue # Extract the identifier and a path if any. if mg_type == 'Script': # for Script nodes only, identifier is a whole path (name, ext) = os.path.splitext(node.filename) name = os.path.basename(name) else: name = node.identifier path = node.filename if node.filename is not None else '' # Ensure name is really 'str'. Module graph might return # object type 'modulegraph.Alias' which inherits fromm 'str'. # But 'marshal.dumps()' function is able to marshal only 'str'. # Otherwise on Windows PyInstaller might fail with message like: # # ValueError: unmarshallable object name = str(name) # Translate to the corresponding TOC typecode. toc_type = MODULE_TYPES_TO_TOC_DICT[mg_type] # TOC.append the data. This checks for a pre-existing name # and skips it if it exists. result.append((name, path, toc_type)) return result def make_pure_toc(self): """ Return all pure Python modules formatted as TOC. """ # PyInstaller should handle special module types without code object. return self._make_toc(PURE_PYTHON_MODULE_TYPES) def make_binaries_toc(self, existing_toc): """ Return all binary Python modules formatted as TOC. """ return self._make_toc(BINARY_MODULE_TYPES, existing_toc) def make_missing_toc(self): """ Return all MISSING Python modules formatted as TOC. """ return self._make_toc(BAD_MODULE_TYPES) def nodes_to_toc(self, node_list, existing_TOC=None): """ Given a list of nodes, create a TOC representing those nodes. This is mainly used to initialize a TOC of scripts with the ones that are runtime hooks. The process is almost the same as _make_toc(), but the caller guarantees the nodes are valid, so minimal checking. """ result = existing_TOC or TOC() for node in node_list: mg_type = type(node).__name__ toc_type = MODULE_TYPES_TO_TOC_DICT[mg_type] if mg_type == "Script" : (name, ext) = os.path.splitext(node.filename) name = os.path.basename(name) else: name = node.identifier path = node.filename if node.filename is not None else '' result.append( (name, path, toc_type) ) return result # Return true if the named item is in the graph as a BuiltinModule node. # The passed name is a basename. def is_a_builtin(self, name) : node = self.findNode(name) if node is None: return False return type(node).__name__ == 'BuiltinModule' def get_importers(self, name): """List all modules importing the module with the passed name. Returns a list of (identifier, DependencyIinfo)-tuples. If the names module has not yet been imported, this method returns an empty list. Parameters ---------- name : str Fully-qualified name of the module to be examined. Returns ---------- list List of (fully-qualified names, DependencyIinfo)-tuples of all modules importing the module with the passed fully-qualified name. """ def get_importer_edge_data(importer): edge = self.graph.edge_by_node(importer, name) # edge might be None in case an AliasModule was added. if edge is not None: return self.graph.edge_data(edge) node = self.findNode(name) if node is None : return [] _, importers = self.get_edges(node) importers = (importer.identifier for importer in importers if importer is not None) return [(importer, get_importer_edge_data(importer)) for importer in importers] # TODO create class from this function. def analyze_runtime_hooks(self, custom_runhooks): """ Analyze custom run-time hooks and run-time hooks implied by found modules. :return : list of Graph nodes. """ rthooks_nodes = [] logger.info('Analyzing run-time hooks ...') # Process custom runtime hooks (from --runtime-hook options). # The runtime hooks are order dependent. First hooks in the list # are executed first. Put their graph nodes at the head of the # priority_scripts list Pyinstaller-defined rthooks and # thus they are executed first. if custom_runhooks: for hook_file in custom_runhooks: logger.info("Including custom run-time hook %r", hook_file) hook_file = os.path.abspath(hook_file) # Not using "try" here because the path is supposed to # exist, if it does not, the raised error will explain. rthooks_nodes.append(self.run_script(hook_file)) # Find runtime hooks that are implied by packages already imported. # Get a temporary TOC listing all the scripts and packages graphed # so far. Assuming that runtime hooks apply only to modules and packages. temp_toc = self._make_toc(VALID_MODULE_TYPES) for (mod_name, path, typecode) in temp_toc: # Look if there is any run-time hook for given module. if mod_name in self._available_rthooks: # There could be several run-time hooks for a module. for hook in self._available_rthooks[mod_name]: logger.info("Including run-time hook %r", hook) path = os.path.join(self._homepath, 'PyInstaller', 'loader', 'rthooks', hook) rthooks_nodes.append(self.run_script(path)) return rthooks_nodes def add_hiddenimports(self, module_list): """ Add hidden imports that are either supplied as CLI option --hidden-import=MODULENAME or as dependencies from some PyInstaller features when enabled (e.g. crypto feature). """ assert self._top_script_node is not None # Analyze the script's hidden imports (named on the command line) for modnm in module_list: node = self.findNode(modnm) if node is not None: logger.debug('Hidden import %r already found', modnm) else: logger.info("Analyzing hidden import %r", modnm) # ModuleGraph throws ImportError if import not found try: nodes = self.import_hook(modnm) assert len(nodes) == 1 node = nodes[0] except ImportError: logger.error("Hidden import %r not found", modnm) continue # Create references from the top script to the hidden import, # even if found otherwise. Don't waste time checking whether it # as actually added by this (test-) script. self.createReference(self._top_script_node, node) def get_co_using_ctypes(self): """ Find modules that imports Python module 'ctypes'. Modules that imports 'ctypes' probably load a dll that might be required for bundling with the executable. The usual way to load a DLL is using: ctypes.CDLL('libname') ctypes.cdll.LoadLibrary('libname') :return: Code objects that might be scanned for module dependencies. """ co_dict = {} pure_python_module_types = PURE_PYTHON_MODULE_TYPES | {'Script',} node = self.findNode('ctypes') if node: referers = self.getReferers(node) for r in referers: r_ident = r.identifier # Ensure that modulegraph objects has attribute 'code'. if type(r).__name__ in pure_python_module_types: if r_ident == 'ctypes' or r_ident.startswith('ctypes.'): # Skip modules of 'ctypes' package. continue co_dict[r.identifier] = r.code return co_dict _cached_module_graph_ = None def initialize_modgraph(excludes=(), user_hook_dirs=()): """ Create the cached module graph. This function might appear weird but is necessary for speeding up test runtime because it allows caching basic ModuleGraph object that gets created for 'base_library.zip'. Parameters ---------- excludes : list List of the fully-qualified names of all modules to be "excluded" and hence _not_ frozen into the executable. user_hook_dirs : list List of the absolute paths of all directories containing user-defined hooks for the current application or `None` if no such directories were specified. Returns ---------- PyiModuleGraph Module graph with core dependencies. """ # normalize parameters to ensure tuples and make camparism work user_hook_dirs = user_hook_dirs or () excludes = excludes or () # If there is a graph cached with the same same excludes, reuse it. # See ``PyiModulegraph._reset()`` for why what is reset. # This cache is uses primary to speed up the test-suite. Fixture # `pyi_modgraph` calls this function with empty excludes, creating # a graph suitable for the huge majority of tests. global _cached_module_graph_ if (_cached_module_graph_ and _cached_module_graph_._excludes == excludes): logger.info('Reusing cached module dependency graph...') graph = deepcopy(_cached_module_graph_) graph._reset(user_hook_dirs) return graph logger.info('Initializing module dependency graph...') # Construct the initial module graph by analyzing all import statements. graph = PyiModuleGraph( HOMEPATH, excludes=excludes, # get_implies() are hidden imports known by modulgraph. implies=get_implies(), user_hook_dirs=user_hook_dirs, ) if not _cached_module_graph_: # Only cache the first graph, see above for explanation. logger.info('Caching module dependency graph...') # cache a deep copy of the graph _cached_module_graph_ = deepcopy(graph) # Clear data which does not need to be copied from teh cached graph # since it will be reset by ``PyiModulegraph._reset()`` anyway. _cached_module_graph_._hooks = None _cached_module_graph_._hooks_pre_safe_import_module = None _cached_module_graph_._hooks_pre_find_module_path = None return graph def get_bootstrap_modules(): """ Get TOC with the bootstrapping modules and their dependencies. :return: TOC with modules """ # Import 'struct' modules to get real paths to module file names. mod_struct = __import__('struct') # Basic modules necessary for the bootstrap process. loader_mods = TOC() loaderpath = os.path.join(HOMEPATH, 'PyInstaller', 'loader') # On some platforms (Windows, Debian/Ubuntu) '_struct' and zlib modules are # built-in modules (linked statically) and thus does not have attribute __file__. # 'struct' module is required for reading Python bytecode from executable. # 'zlib' is required to decompress this bytecode. for mod_name in ['_struct', 'zlib']: mod = __import__(mod_name) # C extension. if hasattr(mod, '__file__'): loader_mods.append((mod_name, os.path.abspath(mod.__file__), 'EXTENSION')) # NOTE:These modules should be kept simple without any complicated dependencies. loader_mods +=[ ('struct', os.path.abspath(mod_struct.__file__), 'PYMODULE'), ('pyimod01_os_path', os.path.join(loaderpath, 'pyimod01_os_path.pyc'), 'PYMODULE'), ('pyimod02_archive', os.path.join(loaderpath, 'pyimod02_archive.pyc'), 'PYMODULE'), ('pyimod03_importers', os.path.join(loaderpath, 'pyimod03_importers.pyc'), 'PYMODULE'), ('pyiboot01_bootstrap', os.path.join(loaderpath, 'pyiboot01_bootstrap.py'), 'PYSOURCE'), ] return loader_mods