本文整理匯總了Python中jinja2.compiler.generate方法的典型用法代碼示例。如果您正苦於以下問題：Python compiler.generate方法的具體用法？Python compiler.generate怎麽用？Python compiler.generate使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類jinja2.compiler的用法示例。
在下文中一共展示了compiler.generate方法的4個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: generate
# 需要導入模塊: from jinja2 import compiler [as 別名]
# 或者: from jinja2.compiler import generate [as 別名]
def generate(self, *args, **kwargs):
"""For very large templates it can be useful to not render the whole
template at once but evaluate each statement after another and yield
piece for piece. This method basically does exactly that and returns
a generator that yields one item after another as unicode strings.
It accepts the same arguments as :meth:`render`.
"""
vars = dict(*args, **kwargs)
try:
for event in self.root_render_func(self.new_context(vars)):
yield event
except Exception:
exc_info = sys.exc_info()
else:
return
yield self.environment.handle_exception(exc_info, True) 示例2: _generate
# 需要導入模塊: from jinja2 import compiler [as 別名]
# 或者: from jinja2.compiler import generate [as 別名]
def _generate(self, source, name, filename, defer_init=False):
"""Internal hook that can be overridden to hook a different generate
method in.
.. versionadded:: 2.5
"""
return generate(source, self, name, filename, defer_init=defer_init,
optimized=self.optimized) 示例3: stream
# 需要導入模塊: from jinja2 import compiler [as 別名]
# 或者: from jinja2.compiler import generate [as 別名]
def stream(self, *args, **kwargs):
"""Works exactly like :meth:`generate` but returns a
:class:`TemplateStream`.
"""
return TemplateStream(self.generate(*args, **kwargs)) 示例4: generate_async
# 需要導入模塊: from jinja2 import compiler [as 別名]
# 或者: from jinja2.compiler import generate [as 別名]
def generate_async(self, *args, **kwargs):
"""An async version of :meth:`generate`. Works very similarly but
returns an async iterator instead.
"""
# see asyncsupport for the actual implementation
raise NotImplementedError('This feature is not available for this '
'version of Python')