解决问题
ModuleNotFoundError: No module named 'engine'
解决思路
找不到模块错误：没有名为“engine”的模块
解决方法
相关文章
Py之pyttsx：pyttsx/pyttsx3的简介、安装、使用方法之详细攻略
def init Found at: pyttsx.__init__
def init(driverName=None, debug=False):
'''
Constructs a new TTS engine instance or reuses the existing instance for
the driver name.
@param driverName: Name of the platform specific driver to use. If
None, selects the default driver for the operating system.
@type: str
@param debug: Debugging output enabled or not
@type debug: bool
@return: Engine instance
@rtype: L{engine.Engine}
'''
try:
eng = _activeEngines[driverName]
except KeyError:
eng = Engine(driverName, debug)
_activeEngines[driverName] = eng
return eng
class WeakValueDictionary(collections.MutableMapping):
"""Mapping class that references values weakly.
Entries in the dictionary will be discarded when no strong
reference to the value exists anymore
"""
# We inherit the constructor without worrying about the input
# dictionary; since it uses our .update() method, we get the right
# checks (if the other dictionary is a WeakValueDictionary,
# objects are unwrapped on the way out, and we always wrap on the
# way in).
def __init__(*args, **kw):
if not args:
raise TypeError("descriptor '__init__' of 'WeakValueDictionary' "
"object needs an argument")
self, *args = args
if len(args) > 1:
raise TypeError('expected at most 1 arguments, got %d' % len(args))
def remove(wr, selfref=ref(self), _atomic_removal=_remove_dead_weakref):
self = selfref()
if self is not None:
if self._iterating:
self._pending_removals.append(wr.key)
else:
# Atomic removal is necessary since this function
# can be called asynchronously by the GC
_atomic_removal(d, wr.key)
self._remove = remove
# A list of keys to be removed
self._pending_removals = []
self._iterating = set()
self.data = d = {}
self.update(*args, **kw)
def _commit_removals(self):
l = self._pending_removals
d = self.data
# We shouldn't encounter any KeyError, because this method should
# always be called *before* mutating the dict.
while l:
key = l.pop()
_remove_dead_weakref(d, key)
def __getitem__(self, key):
if self._pending_removals:
self._commit_removals()
o = self.data[key]()
if o is None:
raise KeyError(key)
else:
return o
def __delitem__(self, key):
if self._pending_removals:
self._commit_removals()
del self.data[key]
def __len__(self):
if self._pending_removals:
self._commit_removals()
return len(self.data)
def __contains__(self, key):
if self._pending_removals:
self._commit_removals()
try:
o = self.data[key]()
except KeyError:
return False
return o is not None
def __repr__(self):
return "<%s at %#x>" % (self.__class__.__name__, id(self))
def __setitem__(self, key, value):
if self._pending_removals:
self._commit_removals()
self.data[key] = KeyedRef(value, self._remove, key)
def copy(self):
if self._pending_removals:
self._commit_removals()
new = WeakValueDictionary()
for key, wr in self.data.items():
o = wr()
if o is not None:
new[key] = o
return new
__copy__ = copy
def __deepcopy__(self, memo):
from copy import deepcopy
if self._pending_removals:
self._commit_removals()
new = self.__class__()
for key, wr in self.data.items():
o = wr()
if o is not None:
new[deepcopy(key, memo)] = o
return new
def get(self, key, default=None):
if self._pending_removals:
self._commit_removals()
try:
wr = self.data[key]
except KeyError:
return default
else:
o = wr()
if o is None:
# This should only happen
return default
else:
return o
def items(self):
if self._pending_removals:
self._commit_removals()
with _IterationGuard(self):
for k, wr in self.data.items():
v = wr()
if v is not None:
yield k, v
def keys(self):
if self._pending_removals:
self._commit_removals()
with _IterationGuard(self):
for k, wr in self.data.items():
if wr() is not None:
yield k
__iter__ = keys
def itervaluerefs(self):
"""Return an iterator that yields the weak references to the values.
The references are not guaranteed to be 'live' at the time
they are used, so the result of calling the references needs
to be checked before being used. This can be used to avoid
creating references that will cause the garbage collector to
keep the values around longer than needed.
"""
if self._pending_removals:
self._commit_removals()
with _IterationGuard(self):
yield from self.data.values()
def values(self):
if self._pending_removals:
self._commit_removals()
with _IterationGuard(self):
for wr in self.data.values():
obj = wr()
if obj is not None:
yield obj
def popitem(self):
if self._pending_removals:
self._commit_removals()
while True:
key, wr = self.data.popitem()
o = wr()
if o is not None:
return key, o
def pop(self, key, *args):
if self._pending_removals:
self._commit_removals()
try:
o = self.data.pop(key)()
except KeyError:
o = None
if o is None:
if args:
return args[0]
else:
raise KeyError(key)
else:
return o
def setdefault(self, key, default=None):
try:
o = self.data[key]()
except KeyError:
o = None
if o is None:
if self._pending_removals:
self._commit_removals()
self.data[key] = KeyedRef(default, self._remove, key)
return default
else:
return o
def update(*args, **kwargs):
if not args:
raise TypeError("descriptor 'update' of 'WeakValueDictionary' "
"object needs an argument")
self, *args = args
if len(args) > 1:
raise TypeError('expected at most 1 arguments, got %d' % len(args))
dict = args[0] if args else None
if self._pending_removals:
self._commit_removals()
d = self.data
if dict is not None:
if not hasattr(dict, "items"):
dict = type({})(dict)
for key, o in dict.items():
d[key] = KeyedRef(o, self._remove, key)
if len(kwargs):
self.update(kwargs)
def valuerefs(self):
"""Return a list of weak references to the values.
The references are not guaranteed to be 'live' at the time
they are used, so the result of calling the references needs
to be checked before being used. This can be used to avoid
creating references that will cause the garbage collector to
keep the values around longer than needed.
"""
if self._pending_removals:
self._commit_removals()
return list(self.data.values())
