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How to use __get_validators__ method in pandera
Best Python code snippet using pandera_python
config_model.py
Source:config_model.py 
...35 password -> "boo!"36 foo_password -> "boo!_foo"37 """38 @classmethod39 def __get_validators__(cls):40 yield cls.validate41 @classmethod42 def validate(cls, v):43 if found_vars := list(filter(len, chain.from_iterable(_var_re.findall(v)))):44 for var in found_vars:45 if (var_val := os.getenv(var)) is None:46 raise ValueError(f'Environment variable "{var}" missing.')47 if not len(var_val):48 raise ValueError(f'Environment variable "{var}" empty.')49 return expandvars(v)50 return v51class EnvSecretStr(EnvExpand, SecretStr):52 @classmethod53 def validate(cls, v):54 return SecretStr.validate(EnvExpand.validate(v))55class Credentials(NoExtraBaseModel):56 username: Optional[EnvExpand]57 password: Optional[EnvSecretStr]58 token: Optional[EnvSecretStr]59 @root_validator()60 def ensure_credentials(cls, values):61 if not any(62 (all((values.get("username"), values.get("password"))), values["token"])63 ):64 raise ValueError("Missing required credentials")65 return values66class FilePathEnvExpand(FilePath):67 """ A FilePath field whose value can interpolated from env vars """68 @classmethod69 def __get_validators__(cls):70 yield from EnvExpand.__get_validators__()71 yield from FilePath.__get_validators__()72class DirPathEnvExpand(DirectoryPath):73 """ A DirectoryPath field whose value can interpolated from env vars """74 @classmethod75 def __get_validators__(cls):76 yield from EnvExpand.__get_validators__()77 yield from DirectoryPath.__get_validators__()78class Defaults(NoExtraBaseModel, BaseSettings):79 configs_dir: DirPathEnvExpand80 @validator("configs_dir")81 def _configs_dir(cls, value): # noqa82 return Path(value).absolute()83class IPFabricModel(NoExtraBaseModel):84 server_url: EnvExpand85 credentials: Credentials86 filters: Optional[str]87 strip_hostname_domains: Optional[List[str]]88class GitSpec(NoExtraBaseModel):89 name: Optional[str]90 repo: str91 email: Optional[str]...
_validator.py
Source:_validator.py
1from pydantic import validator2class Identifcation(str):3 @classmethod4 def __get_validators__(cls):5 yield cls.validate_ID6 @classmethod7 def validate_ID(cls, v: str) -> str:8 print(v)9 return v10class LengthDataset(int):11 @classmethod12 def __get_validators__(cls) -> None:13 yield cls.validate_LEN14 @classmethod15 def validate_LEN(cls, v: int) -> int:16 print(v)17 return v18class NextElementAvailable(int):19 @classmethod20 def __get_validators__(cls) -> None:21 yield cls.validate_NA22 @classmethod23 def validate_NA(cls, v: int) -> int:24 print(v)25 return v26class MeasuringPoint(str):27 @classmethod28 def __get_validators__(cls) -> None:29 yield cls.validate_MP30 @classmethod31 def validate_MP(cls, v: str) -> str:32 print(v)33 return v34class ModuleType(str):35 @classmethod36 def __get_validators__(cls) -> None:37 yield cls.validate_MT38 @classmethod39 def validate_MT(cls, v: str) -> str:40 print(v)41 return v42class ShortText(str):43 @classmethod44 def __get_validators__(cls) -> None:45 yield cls.validate_MT46 @classmethod47 def validate_ST(cls, v: str) -> str:48 print(v)49 return v50class LongText(str):51 @classmethod52 def __get_validators__(cls) -> None:53 yield cls.validate_LT54 @classmethod55 def validate_LT(cls, v: str) -> str:56 print(v)57 return v58class AreaDefinition(int):59 @classmethod60 def __get_validators__(cls) -> None:61 yield cls.validate_AD62 @classmethod63 def validate_AD(cls, v: int) -> int:64 print(v)65 return v66class StatusBit(int):67 @classmethod68 def __get_validators__(cls) -> None:69 yield cls.validate_SB70 @classmethod71 def validate_SB(cls, v: int) -> int:72 print(v)73 return v74class VariableName(str):75 @classmethod76 def __get_validators__(cls) -> None:77 yield cls.validate_VN78 @classmethod79 def validate_VN(cls, v: str) -> str:80 print(v)81 return v82class DataTyp(str):83 @classmethod84 def __get_validators__(cls) -> None:85 yield cls.validate_DT86 @classmethod87 def validate_DT(cls, v: str) -> str:88 print(v)89 return v90class VariableText(str):91 @classmethod92 def __get_validators__(cls) -> None:93 yield cls.validate_VT94 @classmethod95 def validate_VT(cls, v: str) -> str:96 print(v)97 return v98class ProcessImage(str):99 @classmethod100 def __get_validators__(cls) -> None:101 yield cls.validate_PI102 @classmethod103 def validate_PI(cls, v: str) -> str:104 print(v)105 return v106class ExportedVariable(str):107 @classmethod108 def __get_validators__(cls) -> None:109 yield cls.validate_EV110 @classmethod111 def validate_EV(cls, v: str) -> str:112 print(v)113 return v114class VariableOrConst(str):115 @classmethod116 def __get_validators__(cls) -> None:117 yield cls.validate_VC118 @classmethod119 def validate_VC(cls, v: str) -> str:120 print(v)121 return v122class Fbs(str):123 @classmethod124 def __get_validators__(cls) -> None:125 yield cls.validate_FB126 @classmethod127 def validate_FB(cls, v: str) -> str:128 print(v)129 return v130class Libary:131 @classmethod132 def __get_validators__(cls) -> None:133 yield cls.validate_LB134 @classmethod135 def validate_LB(cls, v: str) -> str:136 print(v)137 return v138class DtmNumber():139 pass140class DtmConfig():141 pass142class QuantityCounter():143 pass144class FunctionName():145 pass146class ChannelName():...
base.py
Source:base.py
...3import orjson4from core.config import TIME_DOMAIN_SUB_SAMPLED_RATIO, TIME_DOMAIN_DECIMAL5class SubSampledBinaryArray(list):6 @classmethod7 def __get_validators__(cls):8 yield cls.validate9 @classmethod10 def validate(cls, v):11 raw = np.fromstring(v, dtype=np.float32)12 axis = np.linspace(13 0, raw.size, int(raw.size / TIME_DOMAIN_SUB_SAMPLED_RATIO), endpoint=False14 )15 return [16 round(float(item), TIME_DOMAIN_DECIMAL)17 for item in np.take(raw, axis.astype(np.int))18 ]19class BinaryArray(list):20 @classmethod21 def __get_validators__(cls):22 yield cls.validate23 @classmethod24 def validate(cls, v):25 raw = np.fromstring(v, dtype=np.float32)26 return [round(float(item), TIME_DOMAIN_DECIMAL) for item in raw]27class BinaryArrayMax(list):28 @classmethod29 def __get_validators__(cls):30 yield cls.validate31 @classmethod32 def validate(cls, v):33 raw = np.fromstring(v, dtype=np.float32)34 return float(raw.max())35class SubSampledArray(list):36 @classmethod37 def __get_validators__(cls):38 yield cls.validate39 @classmethod40 def validate(cls, v: ndarray):41 axis = np.linspace(42 0, v.size, int(v.size / TIME_DOMAIN_SUB_SAMPLED_RATIO), endpoint=False43 )44 return [45 round(float(item), TIME_DOMAIN_DECIMAL)46 for item in np.take(v, axis.astype(np.int))47 ]48class SignalArray(list):49 @classmethod50 def __get_validators__(cls):51 yield cls.validate52 @classmethod53 def validate(cls, v: ndarray):54 return [round(float(item), TIME_DOMAIN_DECIMAL) for item in v]55class SignalArrayWithoutRound(list):56 @classmethod57 def __get_validators__(cls):58 yield cls.validate59 @classmethod60 def validate(cls, v: ndarray):61 return [float(item) for item in v]62class JsonString(list):63 @classmethod64 def __get_validators__(cls):65 yield cls.validate66 @classmethod67 def validate(cls, v: str):...
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