本文整理汇总了Python中google.appengine.ext.ndb.FloatProperty方法的典型用法代码示例。如果您正苦于以下问题:Python ndb.FloatProperty方法的具体用法?Python ndb.FloatProperty怎么用?Python ndb.FloatProperty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google.appengine.ext.ndb
的用法示例。
在下文中一共展示了ndb.FloatProperty方法的6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: convert_FloatProperty
# 需要导入模块: from google.appengine.ext import ndb [as 别名]
# 或者: from google.appengine.ext.ndb import FloatProperty [as 别名]
def convert_FloatProperty(self, model, prop, kwargs):
"""Returns a form field for a ``ndb.FloatProperty``."""
return f.FloatField(**kwargs)
示例2: testFloatProperty_shouldConvertToString
# 需要导入模块: from google.appengine.ext import ndb [as 别名]
# 或者: from google.appengine.ext.ndb import FloatProperty [as 别名]
def testFloatProperty_shouldConvertToString(self):
self.__assert_conversion(ndb.FloatProperty, graphene.Float)
示例3: parse_property
# 需要导入模块: from google.appengine.ext import ndb [as 别名]
# 或者: from google.appengine.ext.ndb import FloatProperty [as 别名]
def parse_property(p):
name, type_alias = p.split(':')
types = {'string': 'ndb.StringProperty(required=True)',
'date': 'ndb.DateProperty(required=True)',
'datetime': 'ndb.DateTimeProperty(required=True)',
'int': 'ndb.IntegerProperty(required=True)',
'float': 'ndb.FloatProperty(required=True)',
'decimal': 'property.SimpleDecimal(required=True)',
'currency': 'property.SimpleCurrency(required=True)',
'bool': 'ndb.BooleanProperty(required=True)'}
return ' %s = %s' % (name, types[type_alias])
示例4: _to_default_model_value
# 需要导入模块: from google.appengine.ext import ndb [as 别名]
# 或者: from google.appengine.ext.ndb import FloatProperty [as 别名]
def _to_default_model_value(descriptor, name, index):
if isinstance(descriptor, (StringProperty, TextProperty)):
return "'%s_string'" % name
if isinstance(descriptor, DateProperty):
return "date(2014, 1, %s)" % (index + 1)
if isinstance(descriptor, DateTimeProperty):
return "datetime(2014, 1, 1, 1, %s, 0)" % (index + 1)
if isinstance(descriptor, (SimpleCurrency, SimpleDecimal)):
return "Decimal('1.%s')" % (index + 1 if index >= 9 else '0%s' % (index + 1))
if isinstance(descriptor, IntegerProperty):
return "%s" % (index + 1)
if isinstance(descriptor, FloatProperty):
return "1.%s" % (index + 1)
if isinstance(descriptor, BooleanProperty):
return "True"
示例5: _to_default_reques_value
# 需要导入模块: from google.appengine.ext import ndb [as 别名]
# 或者: from google.appengine.ext.ndb import FloatProperty [as 别名]
def _to_default_reques_value(descriptor, name, index):
if isinstance(descriptor, (StringProperty, TextProperty)):
return "'%s_string'" % name
if isinstance(descriptor, DateProperty):
return "'1/%s/2014'" % (index + 1)
if isinstance(descriptor, DateTimeProperty):
return "'1/1/2014 01:%s:0'" % (index + 1)
if isinstance(descriptor, (SimpleCurrency, SimpleDecimal)):
return "'1.%s'" % (index + 1 if index >= 9 else '0%s' % (index + 1))
if isinstance(descriptor, IntegerProperty):
return "'%s'" % (index + 1)
if isinstance(descriptor, FloatProperty):
return "'1.%s'" % (index + 1)
if isinstance(descriptor, BooleanProperty):
return "'True'"
示例6: test_simple_properties
# 需要导入模块: from google.appengine.ext import ndb [as 别名]
# 或者: from google.appengine.ext.ndb import FloatProperty [as 别名]
def test_simple_properties(self):
"""Simple properties are unmodified in to_serializable_dict()."""
class Entity(ndb.Model, serializable.SerializableModelMixin):
blob_prop = ndb.BlobProperty()
bool_prop = ndb.BooleanProperty()
float_prop = ndb.FloatProperty()
int_prop = ndb.IntegerProperty()
json_prop = ndb.JsonProperty()
pickle_prop = ndb.PickleProperty()
str_prop = ndb.StringProperty()
text_prop = ndb.TextProperty()
# Test data in simple dict form.
as_serializable_dict = {
'blob_prop': 'blob',
'bool_prop': True,
'float_prop': 3.14,
'int_prop': 42,
'json_prop': ['a list', 'why', 'not?'],
'pickle_prop': {'some': 'dict'},
'str_prop': 'blah-blah',
'text_prop': 'longer blah-blah',
}
# Same data but in entity form. Constructing entity directly from
# |as_serializable_dict| works only if it contains only simple properties
# (that look the same in serializable dict and entity form).
as_entity = Entity(**as_serializable_dict)
# Ensure all simple properties (from _SIMPLE_PROPERTIES) are covered.
self.assertEqual(
set(serializable._SIMPLE_PROPERTIES),
set(prop.__class__ for prop in Entity._properties.values()))
# Check entity -> serializable dict conversion.
self.assertEqual(
as_serializable_dict,
as_entity.to_serializable_dict())
# Check serializable dict -> Entity conversion.
self.assertEqual(
as_entity,
Entity.from_serializable_dict(as_serializable_dict))