本文整理汇总了Python中jinja2.compiler.generate方法的典型用法代码示例。如果您正苦于以下问题：Python compiler.generate方法的具体用法？Python compiler.generate怎么用？Python compiler.generate使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类jinja2.compiler的用法示例。
在下文中一共展示了compiler.generate方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: generate
# 需要导入模块: from jinja2 import compiler [as 别名]
# 或者: from jinja2.compiler import generate [as 别名]
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
# 需要导入模块: from jinja2 import compiler [as 别名]
# 或者: from jinja2.compiler import generate [as 别名]
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
# 需要导入模块: from jinja2 import compiler [as 别名]
# 或者: from jinja2.compiler import generate [as 别名]
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
# 需要导入模块: from jinja2 import compiler [as 别名]
# 或者: from jinja2.compiler import generate [as 别名]
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')