Coverage for pydantic/experimental/pipeline.py: 93.41%

1"""Experimental pipeline API functionality. Be careful with this API, it's subject to change.""" 

2 

3from __future__ import annotations 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

4 

5import datetime 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

6import operator 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

7import re 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

8import sys 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

9from collections import deque 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

10from collections.abc import Container 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

11from dataclasses import dataclass 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

12from decimal import Decimal 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

13from functools import cached_property, partial 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

14from typing import TYPE_CHECKING, Any, Callable, Generic, Pattern, Protocol, TypeVar, Union, overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

15 

16import annotated_types 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

17from typing_extensions import Annotated 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

18 

19if TYPE_CHECKING: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

20 from pydantic_core import core_schema as cs 

21 

22 from pydantic import GetCoreSchemaHandler 

23 

24from pydantic._internal._internal_dataclass import slots_true as _slots_true 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

25 

26if sys.version_info < (3, 10): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

27 EllipsisType = type(Ellipsis) 13 ctx1uwoxcyzABvCpD

28else: 

29 from types import EllipsisType 25 ctx1qErFaefgdGHIJhijksKtLblmn

30 

31__all__ = ['validate_as', 'validate_as_deferred', 'transform'] 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

32 

33_slots_frozen = {**_slots_true, 'frozen': True} 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

34 

35 

36@dataclass(**_slots_frozen) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

37class _ValidateAs: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

38 tp: type[Any] 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

39 strict: bool = False 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

40 

41 

42@dataclass 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

43class _ValidateAsDefer: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

44 func: Callable[[], type[Any]] 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

45 

46 @cached_property 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

47 def tp(self) -> type[Any]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

48 return self.func() 8 ctx1oqrapstb

49 

50 

51@dataclass(**_slots_frozen) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

52class _Transform: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

53 func: Callable[[Any], Any] 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

54 

55 

56@dataclass(**_slots_frozen) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

57class _PipelineOr: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

58 left: _Pipeline[Any, Any] 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

59 right: _Pipeline[Any, Any] 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

60 

61 

62@dataclass(**_slots_frozen) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

63class _PipelineAnd: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

64 left: _Pipeline[Any, Any] 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

65 right: _Pipeline[Any, Any] 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

66 

67 

68@dataclass(**_slots_frozen) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

69class _Eq: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

70 value: Any 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

71 

72 

73@dataclass(**_slots_frozen) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

74class _NotEq: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

75 value: Any 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

76 

77 

78@dataclass(**_slots_frozen) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

79class _In: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

80 values: Container[Any] 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

81 

82 

83@dataclass(**_slots_frozen) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

84class _NotIn: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

85 values: Container[Any] 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

86 

87 

88_ConstraintAnnotation = Union[ 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

89 annotated_types.Le, 

90 annotated_types.Ge, 

91 annotated_types.Lt, 

92 annotated_types.Gt, 

93 annotated_types.Len, 

94 annotated_types.MultipleOf, 

95 annotated_types.Timezone, 

96 annotated_types.Interval, 

97 annotated_types.Predicate, 

98 # common predicates not included in annotated_types 

99 _Eq, 

100 _NotEq, 

101 _In, 

102 _NotIn, 

103 # regular expressions 

104 Pattern[str], 

105] 

106 

107 

108@dataclass(**_slots_frozen) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

109class _Constraint: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

110 constraint: _ConstraintAnnotation 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

111 

112 

113_Step = Union[_ValidateAs, _ValidateAsDefer, _Transform, _PipelineOr, _PipelineAnd, _Constraint] 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

114 

115_InT = TypeVar('_InT') 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

116_OutT = TypeVar('_OutT') 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

117_NewOutT = TypeVar('_NewOutT') 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

118 

119 

120class _FieldTypeMarker: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

121 pass 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

122 

123 

124# TODO: ultimately, make this public, see https://github.com/pydantic/pydantic/pull/9459#discussion_r1628197626 

125# Also, make this frozen eventually, but that doesn't work right now because of the generic base 

126# Which attempts to modify __orig_base__ and such. 

127# We could go with a manual freeze, but that seems overkill for now. 

128@dataclass(**_slots_true) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

129class _Pipeline(Generic[_InT, _OutT]): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

130 """Abstract representation of a chain of validation, transformation, and parsing steps.""" 

131 

132 _steps: tuple[_Step, ...] 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

133 

134 def transform( 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

135 self, 

136 func: Callable[[_OutT], _NewOutT], 

137 ) -> _Pipeline[_InT, _NewOutT]: 

138 """Transform the output of the previous step. 

139 

140 If used as the first step in a pipeline, the type of the field is used. 

141 That is, the transformation is applied to after the value is parsed to the field's type. 

142 """ 

143 return _Pipeline[_InT, _NewOutT](self._steps + (_Transform(func),)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

144 

145 @overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

146 def validate_as(self, tp: type[_NewOutT], *, strict: bool = ...) -> _Pipeline[_InT, _NewOutT]: ... 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

147 

148 @overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

149 def validate_as(self, tp: EllipsisType, *, strict: bool = ...) -> _Pipeline[_InT, Any]: # type: ignore 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

150 ... 

151 

152 def validate_as(self, tp: type[_NewOutT] | EllipsisType, *, strict: bool = False) -> _Pipeline[_InT, Any]: # type: ignore 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

153 """Validate / parse the input into a new type. 

154 

155 If no type is provided, the type of the field is used. 

156 

157 Types are parsed in Pydantic's `lax` mode by default, 

158 but you can enable `strict` mode by passing `strict=True`. 

159 """ 

160 if isinstance(tp, EllipsisType): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

161 return _Pipeline[_InT, Any](self._steps + (_ValidateAs(_FieldTypeMarker, strict=strict),)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

162 return _Pipeline[_InT, _NewOutT](self._steps + (_ValidateAs(tp, strict=strict),)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

163 

164 def validate_as_deferred(self, func: Callable[[], type[_NewOutT]]) -> _Pipeline[_InT, _NewOutT]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

165 """Parse the input into a new type, deferring resolution of the type until the current class 

166 is fully defined. 

167 

168 This is useful when you need to reference the class in it's own type annotations. 

169 """ 

170 return _Pipeline[_InT, _NewOutT](self._steps + (_ValidateAsDefer(func),)) 8 ctx1oqrapstb

171 

172 # constraints 

173 @overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

174 def constrain(self: _Pipeline[_InT, _NewOutGe], constraint: annotated_types.Ge) -> _Pipeline[_InT, _NewOutGe]: ... 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

175 

176 @overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

177 def constrain(self: _Pipeline[_InT, _NewOutGt], constraint: annotated_types.Gt) -> _Pipeline[_InT, _NewOutGt]: ... 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

178 

179 @overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

180 def constrain(self: _Pipeline[_InT, _NewOutLe], constraint: annotated_types.Le) -> _Pipeline[_InT, _NewOutLe]: ... 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

181 

182 @overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

183 def constrain(self: _Pipeline[_InT, _NewOutLt], constraint: annotated_types.Lt) -> _Pipeline[_InT, _NewOutLt]: ... 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

184 

185 @overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

186 def constrain( 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

187 self: _Pipeline[_InT, _NewOutLen], constraint: annotated_types.Len 14 ctx1aefgcdhijkblmn

188 ) -> _Pipeline[_InT, _NewOutLen]: ... 14 ctx1aefgcdhijkblmn

189 

190 @overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

191 def constrain( 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

192 self: _Pipeline[_InT, _NewOutT], constraint: annotated_types.MultipleOf 14 ctx1aefgcdhijkblmn

193 ) -> _Pipeline[_InT, _NewOutT]: ... 14 ctx1aefgcdhijkblmn

194 

195 @overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

196 def constrain( 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

197 self: _Pipeline[_InT, _NewOutDatetime], constraint: annotated_types.Timezone 14 ctx1aefgcdhijkblmn

198 ) -> _Pipeline[_InT, _NewOutDatetime]: ... 14 ctx1aefgcdhijkblmn

199 

200 @overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

201 def constrain(self: _Pipeline[_InT, _OutT], constraint: annotated_types.Predicate) -> _Pipeline[_InT, _OutT]: ... 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

202 

203 @overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

204 def constrain( 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

205 self: _Pipeline[_InT, _NewOutInterval], constraint: annotated_types.Interval 14 ctx1aefgcdhijkblmn

206 ) -> _Pipeline[_InT, _NewOutInterval]: ... 14 ctx1aefgcdhijkblmn

207 

208 @overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

209 def constrain(self: _Pipeline[_InT, _OutT], constraint: _Eq) -> _Pipeline[_InT, _OutT]: ... 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

210 

211 @overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

212 def constrain(self: _Pipeline[_InT, _OutT], constraint: _NotEq) -> _Pipeline[_InT, _OutT]: ... 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

213 

214 @overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

215 def constrain(self: _Pipeline[_InT, _OutT], constraint: _In) -> _Pipeline[_InT, _OutT]: ... 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

216 

217 @overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

218 def constrain(self: _Pipeline[_InT, _OutT], constraint: _NotIn) -> _Pipeline[_InT, _OutT]: ... 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

219 

220 @overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

221 def constrain(self: _Pipeline[_InT, _NewOutT], constraint: Pattern[str]) -> _Pipeline[_InT, _NewOutT]: ... 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

222 

223 def constrain(self, constraint: _ConstraintAnnotation) -> Any: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

224 """Constrain a value to meet a certain condition. 

225 

226 We support most conditions from `annotated_types`, as well as regular expressions. 

227 

228 Most of the time you'll be calling a shortcut method like `gt`, `lt`, `len`, etc 

229 so you don't need to call this directly. 

230 """ 

231 return _Pipeline[_InT, _OutT](self._steps + (_Constraint(constraint),)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

232 

233 def predicate(self: _Pipeline[_InT, _NewOutT], func: Callable[[_NewOutT], bool]) -> _Pipeline[_InT, _NewOutT]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

234 """Constrain a value to meet a certain predicate.""" 

235 return self.constrain(annotated_types.Predicate(func)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

236 

237 def gt(self: _Pipeline[_InT, _NewOutGt], gt: _NewOutGt) -> _Pipeline[_InT, _NewOutGt]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

238 """Constrain a value to be greater than a certain value.""" 

239 return self.constrain(annotated_types.Gt(gt)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

240 

241 def lt(self: _Pipeline[_InT, _NewOutLt], lt: _NewOutLt) -> _Pipeline[_InT, _NewOutLt]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

242 """Constrain a value to be less than a certain value.""" 

243 return self.constrain(annotated_types.Lt(lt)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

244 

245 def ge(self: _Pipeline[_InT, _NewOutGe], ge: _NewOutGe) -> _Pipeline[_InT, _NewOutGe]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

246 """Constrain a value to be greater than or equal to a certain value.""" 

247 return self.constrain(annotated_types.Ge(ge)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

248 

249 def le(self: _Pipeline[_InT, _NewOutLe], le: _NewOutLe) -> _Pipeline[_InT, _NewOutLe]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

250 """Constrain a value to be less than or equal to a certain value.""" 

251 return self.constrain(annotated_types.Le(le)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

252 

253 def len(self: _Pipeline[_InT, _NewOutLen], min_len: int, max_len: int | None = None) -> _Pipeline[_InT, _NewOutLen]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

254 """Constrain a value to have a certain length.""" 

255 return self.constrain(annotated_types.Len(min_len, max_len)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

256 

257 @overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

258 def multiple_of(self: _Pipeline[_InT, _NewOutDiv], multiple_of: _NewOutDiv) -> _Pipeline[_InT, _NewOutDiv]: ... 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

259 

260 @overload 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

261 def multiple_of(self: _Pipeline[_InT, _NewOutMod], multiple_of: _NewOutMod) -> _Pipeline[_InT, _NewOutMod]: ... 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

262 

263 def multiple_of(self: _Pipeline[_InT, Any], multiple_of: Any) -> _Pipeline[_InT, Any]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

264 """Constrain a value to be a multiple of a certain number.""" 

265 return self.constrain(annotated_types.MultipleOf(multiple_of)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

266 

267 def eq(self: _Pipeline[_InT, _OutT], value: _OutT) -> _Pipeline[_InT, _OutT]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

268 """Constrain a value to be equal to a certain value.""" 

269 return self.constrain(_Eq(value)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

270 

271 def not_eq(self: _Pipeline[_InT, _OutT], value: _OutT) -> _Pipeline[_InT, _OutT]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

272 """Constrain a value to not be equal to a certain value.""" 

273 return self.constrain(_NotEq(value)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

274 

275 def in_(self: _Pipeline[_InT, _OutT], values: Container[_OutT]) -> _Pipeline[_InT, _OutT]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

276 """Constrain a value to be in a certain set.""" 

277 return self.constrain(_In(values)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

278 

279 def not_in(self: _Pipeline[_InT, _OutT], values: Container[_OutT]) -> _Pipeline[_InT, _OutT]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

280 """Constrain a value to not be in a certain set.""" 

281 return self.constrain(_NotIn(values)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

282 

283 # timezone methods 

284 def datetime_tz_naive(self: _Pipeline[_InT, datetime.datetime]) -> _Pipeline[_InT, datetime.datetime]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

285 return self.constrain(annotated_types.Timezone(None)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

286 

287 def datetime_tz_aware(self: _Pipeline[_InT, datetime.datetime]) -> _Pipeline[_InT, datetime.datetime]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

288 return self.constrain(annotated_types.Timezone(...)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

289 

290 def datetime_tz( 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

291 self: _Pipeline[_InT, datetime.datetime], tz: datetime.tzinfo 

292 ) -> _Pipeline[_InT, datetime.datetime]: 

293 return self.constrain(annotated_types.Timezone(tz)) # type: ignore 

294 

295 def datetime_with_tz( 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

296 self: _Pipeline[_InT, datetime.datetime], tz: datetime.tzinfo | None 

297 ) -> _Pipeline[_InT, datetime.datetime]: 

298 return self.transform(partial(datetime.datetime.replace, tzinfo=tz)) 

299 

300 # string methods 

301 def str_lower(self: _Pipeline[_InT, str]) -> _Pipeline[_InT, str]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

302 return self.transform(str.lower) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

303 

304 def str_upper(self: _Pipeline[_InT, str]) -> _Pipeline[_InT, str]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

305 return self.transform(str.upper) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

306 

307 def str_title(self: _Pipeline[_InT, str]) -> _Pipeline[_InT, str]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

308 return self.transform(str.title) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

309 

310 def str_strip(self: _Pipeline[_InT, str]) -> _Pipeline[_InT, str]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

311 return self.transform(str.strip) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

312 

313 def str_pattern(self: _Pipeline[_InT, str], pattern: str) -> _Pipeline[_InT, str]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

314 return self.constrain(re.compile(pattern)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

315 

316 def str_contains(self: _Pipeline[_InT, str], substring: str) -> _Pipeline[_InT, str]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

317 return self.predicate(lambda v: substring in v) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

318 

319 def str_starts_with(self: _Pipeline[_InT, str], prefix: str) -> _Pipeline[_InT, str]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

320 return self.predicate(lambda v: v.startswith(prefix)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

321 

322 def str_ends_with(self: _Pipeline[_InT, str], suffix: str) -> _Pipeline[_InT, str]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

323 return self.predicate(lambda v: v.endswith(suffix)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

324 

325 # operators 

326 def otherwise(self, other: _Pipeline[_OtherIn, _OtherOut]) -> _Pipeline[_InT | _OtherIn, _OutT | _OtherOut]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

327 """Combine two validation chains, returning the result of the first chain if it succeeds, and the second chain if it fails.""" 

328 return _Pipeline((_PipelineOr(self, other),)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

329 

330 __or__ = otherwise 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

331 

332 def then(self, other: _Pipeline[_OutT, _OtherOut]) -> _Pipeline[_InT, _OtherOut]: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

333 """Pipe the result of one validation chain into another.""" 

334 return _Pipeline((_PipelineAnd(self, other),)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

335 

336 __and__ = then 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

337 

338 def __get_pydantic_core_schema__(self, source_type: Any, handler: GetCoreSchemaHandler) -> cs.CoreSchema: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

339 from pydantic_core import core_schema as cs 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

340 

341 queue = deque(self._steps) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

342 

343 s = None 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

344 

345 while queue: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

346 step = queue.popleft() 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

347 s = _apply_step(step, s, handler, source_type) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

348 

349 s = s or cs.any_schema() 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

350 return s 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

351 

352 def __supports_type__(self, _: _OutT) -> bool: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

353 raise NotImplementedError 

354 

355 

356validate_as = _Pipeline[Any, Any](()).validate_as 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

357validate_as_deferred = _Pipeline[Any, Any](()).validate_as_deferred 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

358transform = _Pipeline[Any, Any]((_ValidateAs(_FieldTypeMarker),)).transform 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

359 

360 

361def _check_func( 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

362 func: Callable[[Any], bool], predicate_err: str | Callable[[], str], s: cs.CoreSchema | None 

363) -> cs.CoreSchema: 

364 from pydantic_core import core_schema as cs 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

365 

366 def handler(v: Any) -> Any: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

367 if func(v): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

368 return v 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

369 raise ValueError(f'Expected {predicate_err if isinstance(predicate_err, str) else predicate_err()}') 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

370 

371 if s is None: 371 ↛ 372line 371 didn't jump to line 372 because the condition on line 371 was never true38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

372 return cs.no_info_plain_validator_function(handler) 

373 else: 

374 return cs.no_info_after_validator_function(handler, s) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

375 

376 

377def _apply_step(step: _Step, s: cs.CoreSchema | None, handler: GetCoreSchemaHandler, source_type: Any) -> cs.CoreSchema: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

378 from pydantic_core import core_schema as cs 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

379 

380 if isinstance(step, _ValidateAs): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

381 s = _apply_parse(s, step.tp, step.strict, handler, source_type) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

382 elif isinstance(step, _ValidateAsDefer): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

383 s = _apply_parse(s, step.tp, False, handler, source_type) 8 ctx1oqrapstb

384 elif isinstance(step, _Transform): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

385 s = _apply_transform(s, step.func, handler) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

386 elif isinstance(step, _Constraint): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

387 s = _apply_constraint(s, step.constraint) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

388 elif isinstance(step, _PipelineOr): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

389 s = cs.union_schema([handler(step.left), handler(step.right)]) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

390 else: 

391 assert isinstance(step, _PipelineAnd) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

392 s = cs.chain_schema([handler(step.left), handler(step.right)]) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

393 return s 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

394 

395 

396def _apply_parse( 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

397 s: cs.CoreSchema | None, 

398 tp: type[Any], 

399 strict: bool, 

400 handler: GetCoreSchemaHandler, 

401 source_type: Any, 

402) -> cs.CoreSchema: 

403 from pydantic_core import core_schema as cs 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

404 

405 from pydantic import Strict 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

406 

407 if tp is _FieldTypeMarker: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

408 return handler(source_type) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

409 

410 if strict: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

411 tp = Annotated[tp, Strict()] # type: ignore 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

412 

413 if s and s['type'] == 'any': 413 ↛ 414line 413 didn't jump to line 414 because the condition on line 413 was never true38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

414 return handler(tp) 

415 else: 

416 return cs.chain_schema([s, handler(tp)]) if s else handler(tp) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

417 

418 

419def _apply_transform( 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

420 s: cs.CoreSchema | None, func: Callable[[Any], Any], handler: GetCoreSchemaHandler 

421) -> cs.CoreSchema: 

422 from pydantic_core import core_schema as cs 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

423 

424 if s is None: 424 ↛ 425line 424 didn't jump to line 425 because the condition on line 424 was never true38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

425 return cs.no_info_plain_validator_function(func) 

426 

427 if s['type'] == 'str': 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

428 if func is str.strip: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

429 s = s.copy() 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

430 s['strip_whitespace'] = True 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

431 return s 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

432 elif func is str.lower: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

433 s = s.copy() 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

434 s['to_lower'] = True 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

435 return s 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

436 elif func is str.upper: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

437 s = s.copy() 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

438 s['to_upper'] = True 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

439 return s 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

440 

441 return cs.no_info_after_validator_function(func, s) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

442 

443 

444def _apply_constraint( # noqa: C901 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

445 s: cs.CoreSchema | None, constraint: _ConstraintAnnotation 

446) -> cs.CoreSchema: 

447 """Apply a single constraint to a schema.""" 

448 if isinstance(constraint, annotated_types.Gt): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

449 gt = constraint.gt 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

450 if s and s['type'] in {'int', 'float', 'decimal'}: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

451 s = s.copy() 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

452 if s['type'] == 'int' and isinstance(gt, int): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

453 s['gt'] = gt 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

454 elif s['type'] == 'float' and isinstance(gt, float): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

455 s['gt'] = gt 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

456 elif s['type'] == 'decimal' and isinstance(gt, Decimal): 456 ↛ 648line 456 didn't jump to line 648 because the condition on line 456 was always true38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

457 s['gt'] = gt 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

458 else: 

459 

460 def check_gt(v: Any) -> bool: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

461 return v > gt 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

462 

463 s = _check_func(check_gt, f'> {gt}', s) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

464 elif isinstance(constraint, annotated_types.Ge): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

465 ge = constraint.ge 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

466 if s and s['type'] in {'int', 'float', 'decimal'}: 466 ↛ 475line 466 didn't jump to line 475 because the condition on line 466 was always true38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

467 s = s.copy() 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

468 if s['type'] == 'int' and isinstance(ge, int): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

469 s['ge'] = ge 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

470 elif s['type'] == 'float' and isinstance(ge, float): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

471 s['ge'] = ge 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

472 elif s['type'] == 'decimal' and isinstance(ge, Decimal): 472 ↛ 475line 472 didn't jump to line 475 because the condition on line 472 was always true38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

473 s['ge'] = ge 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

474 

475 def check_ge(v: Any) -> bool: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

476 return v >= ge 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

477 

478 s = _check_func(check_ge, f'>= {ge}', s) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

479 elif isinstance(constraint, annotated_types.Lt): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

480 lt = constraint.lt 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

481 if s and s['type'] in {'int', 'float', 'decimal'}: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

482 s = s.copy() 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

483 if s['type'] == 'int' and isinstance(lt, int): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

484 s['lt'] = lt 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

485 elif s['type'] == 'float' and isinstance(lt, float): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

486 s['lt'] = lt 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

487 elif s['type'] == 'decimal' and isinstance(lt, Decimal): 487 ↛ 490line 487 didn't jump to line 490 because the condition on line 487 was always true38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

488 s['lt'] = lt 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

489 

490 def check_lt(v: Any) -> bool: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

491 return v < lt 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

492 

493 s = _check_func(check_lt, f'< {lt}', s) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

494 elif isinstance(constraint, annotated_types.Le): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

495 le = constraint.le 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

496 if s and s['type'] in {'int', 'float', 'decimal'}: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

497 s = s.copy() 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

498 if s['type'] == 'int' and isinstance(le, int): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

499 s['le'] = le 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

500 elif s['type'] == 'float' and isinstance(le, float): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

501 s['le'] = le 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

502 elif s['type'] == 'decimal' and isinstance(le, Decimal): 502 ↛ 505line 502 didn't jump to line 505 because the condition on line 502 was always true38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

503 s['le'] = le 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

504 

505 def check_le(v: Any) -> bool: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

506 return v <= le 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

507 

508 s = _check_func(check_le, f'<= {le}', s) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

509 elif isinstance(constraint, annotated_types.Len): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

510 min_len = constraint.min_length 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

511 max_len = constraint.max_length 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

512 

513 if s and s['type'] in {'str', 'list', 'tuple', 'set', 'frozenset', 'dict'}: 513 ↛ 528line 513 didn't jump to line 528 because the condition on line 513 was always true38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

514 assert ( 14 ctx1uwoxcdyzABvCpD

515 s['type'] == 'str' 

516 or s['type'] == 'list' 

517 or s['type'] == 'tuple' 

518 or s['type'] == 'set' 

519 or s['type'] == 'dict' 

520 or s['type'] == 'frozenset' 

521 ) 

522 s = s.copy() 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

523 if min_len != 0: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

524 s['min_length'] = min_len 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

525 if max_len is not None: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

526 s['max_length'] = max_len 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

527 

528 def check_len(v: Any) -> bool: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

529 if max_len is not None: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

530 return (min_len <= len(v)) and (len(v) <= max_len) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

531 return min_len <= len(v) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

532 

533 s = _check_func(check_len, f'length >= {min_len} and length <= {max_len}', s) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

534 elif isinstance(constraint, annotated_types.MultipleOf): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

535 multiple_of = constraint.multiple_of 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

536 if s and s['type'] in {'int', 'float', 'decimal'}: 536 ↛ 545line 536 didn't jump to line 545 because the condition on line 536 was always true38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

537 s = s.copy() 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

538 if s['type'] == 'int' and isinstance(multiple_of, int): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

539 s['multiple_of'] = multiple_of 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

540 elif s['type'] == 'float' and isinstance(multiple_of, float): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

541 s['multiple_of'] = multiple_of 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

542 elif s['type'] == 'decimal' and isinstance(multiple_of, Decimal): 542 ↛ 545line 542 didn't jump to line 545 because the condition on line 542 was always true38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

543 s['multiple_of'] = multiple_of 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

544 

545 def check_multiple_of(v: Any) -> bool: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

546 return v % multiple_of == 0 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

547 

548 s = _check_func(check_multiple_of, f'% {multiple_of} == 0', s) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

549 elif isinstance(constraint, annotated_types.Timezone): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

550 tz = constraint.tz 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

551 

552 if tz is ...: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

553 if s and s['type'] == 'datetime': 553 ↛ 558line 553 didn't jump to line 558 because the condition on line 553 was always true38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

554 s = s.copy() 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

555 s['tz_constraint'] = 'aware' 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

556 else: 

557 

558 def check_tz_aware(v: object) -> bool: 

559 assert isinstance(v, datetime.datetime) 

560 return v.tzinfo is not None 

561 

562 s = _check_func(check_tz_aware, 'timezone aware', s) 

563 elif tz is None: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

564 if s and s['type'] == 'datetime': 564 ↛ 569line 564 didn't jump to line 569 because the condition on line 564 was always true38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

565 s = s.copy() 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

566 s['tz_constraint'] = 'naive' 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

567 else: 

568 

569 def check_tz_naive(v: object) -> bool: 

570 assert isinstance(v, datetime.datetime) 

571 return v.tzinfo is None 

572 

573 s = _check_func(check_tz_naive, 'timezone naive', s) 

574 else: 

575 raise NotImplementedError('Constraining to a specific timezone is not yet supported') 

576 elif isinstance(constraint, annotated_types.Interval): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

577 if constraint.ge: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

578 s = _apply_constraint(s, annotated_types.Ge(constraint.ge)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

579 if constraint.gt: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

580 s = _apply_constraint(s, annotated_types.Gt(constraint.gt)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

581 if constraint.le: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

582 s = _apply_constraint(s, annotated_types.Le(constraint.le)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

583 if constraint.lt: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

584 s = _apply_constraint(s, annotated_types.Lt(constraint.lt)) 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

585 assert s is not None 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

586 elif isinstance(constraint, annotated_types.Predicate): 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

587 func = constraint.func 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

588 

589 if func.__name__ == '<lambda>': 589 ↛ 607line 589 didn't jump to line 607 because the condition on line 589 was always true38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

590 # attempt to extract the source code for a lambda function 

591 # to use as the function name in error messages 

592 # TODO: is there a better way? should we just not do this? 

593 import inspect 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

594 

595 try: 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

596 # remove ')' suffix, can use removesuffix once we drop 3.8 

597 source = inspect.getsource(func).strip() 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

598 if source.endswith(')'): 598 ↛ 600line 598 didn't jump to line 600 because the condition on line 598 was always true38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

599 source = source[:-1] 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn

600 lambda_source_code = '`' + ''.join(''.join(source.split('lambda ')[1:]).split(':')[1:]).strip() + '`' 38 ctx1uwoxqErFaefgcdyzABGHIJhijkvCpDsKtLblmn