from msapp.bank.domain.repository import BankRepository
from typing import ForwardRef
from decimal import Decimal
Bank = ForwardRef('msapp.bank.domain.Bank')
class TransactionItem:
bankRepository = None
@staticmethod
def create(data: dict, bankRepository: BankRepository):
bank = bankRepository.probe(data['bank'])
bank = bank if not None else data['bank']
if 'subject' not in data or len(data['subject']) == 0:
data['subject'] = data['name']
return TransactionItem(data['name'], bank, data['iban'],
data['recipient'], data['subject'],
data['value'])
def __init__(self, name: str, bank: [str, Bank], iban: str, recipient: str,
subject: str, value: Decimal):
self._name = name
self._bank = bank
self._iban = iban
self._recipient = recipient
self._subject = subject
self._value = value
@property
def name(self) -> str:
def test_get_forward_reference_with_annotation_forward_reference(self):
annotation = ForwardRef(aiplatform.Model.__name__)
results = utils.get_forward_reference(annotation)
self.assertEqual(results, aiplatform.Model)
и все атрибуты сущностей"""
from typing import Set, Union, List, Dict, Tuple, ForwardRef
from typing import Optional, Literal, Any
from pydantic import Json, root_validator, validator
from datetime import date, datetime, time
from app.pydantic_models.standart_methhods_redefinition import BaseModel, as_form
from app.pydantic_models.standart_methhods_redefinition import PydanticValidators
from app.pydantic_models.gen.output_ent import Developer
from app.pydantic_models.gen.output_ent import Human
from app.pydantic_models.gen.output_ent import HumanContacts
from app.pydantic_models.gen.output_ent import Admin
from app.settings.config import HOME_DIR
User = ForwardRef("User")
Smm = ForwardRef("Smm")
DirectionExpert = ForwardRef("DirectionExpert")
Competition = ForwardRef("Competition")
Direction = ForwardRef("Direction")
CompetitionDirection = ForwardRef("CompetitionDirection")
Task = ForwardRef("Task")
UserWork = ForwardRef("UserWork")
Criterion = ForwardRef("Criterion")
MarkWork = ForwardRef("MarkWork")
Page = ForwardRef("Page")
Question = ForwardRef("Question")
SimpleEntity = ForwardRef("SimpleEntity")
News = ForwardRef("News")
def evaluate_forwardref(type_: ForwardRef, globalns: Any,
localns: Any) -> Type[Any]:
return type_._eval_type(globalns, localns)
(Optional[str], Union[str, None]),
(Optional[Address], Union[Address, None]),
(Optional[List[str]], Union[List[str], None]),
(Optional[Dict[str, str]], None),
(Optional[Dict], None),
(Union[str], str),
(Union[str, int], None),
(Union[bool, None], Union[bool, None]),
(Union[bytes, None], Union[bytes, None]),
(Union[int, None], Union[int, None]),
(Union[str, None], Union[str, None]),
(Union[None, str], Union[str, None]),
(Union[Address, None], Union[Address, None]),
(Union[Person, None], Union[Person, None]),
(Union["Person", None], None),
(ForwardRef("bool"), None),
(ForwardRef("bytes"), None),
(ForwardRef("int"), None),
(ForwardRef("str"), None),
(ForwardRef("Address"), None),
(Optional[ForwardRef("Address")], None),
(Dict[str, ForwardRef("Address")], None),
(Union[ForwardRef("Person"), None], None),
(InvalidListType, None),
(InvalidDictType, None),
(InvalidUnionType, None),
(InvalidNestedType, None),
(ValidNestedType, ValidNestedType),
(TooManyFieldsType, None),
(MaxFieldsType, MaxFieldsType),
])
from typing import List, Optional, ForwardRef, Dict
from pydantic import BaseModel, UrlStr
ref = ForwardRef('Tweet')
class Tweet(BaseModel):
id: str # serializing to string because otherwise the long id gets messed up
text: str
stance_comment: float
stance_support: float
stance_query: float
stance_deny: float
veracity_false: Optional[float]
veracity_true: Optional[float]
veracity_unknown: Optional[float]
avg_stance_comment: Optional[float]
avg_stance_support: Optional[float]
avg_stance_query: Optional[float]
avg_stance_deny: Optional[float]
class Conversation(BaseModel):
source: Tweet
replies: Dict[str, Tweet]
class Callback(BaseModel):
callback_url: str
class DnsServerData(BaseModel):
id: int
name: str
zones: Optional[List[ForwardRef("ZoneData")]]
created_at: datetime
class Model(ml.Model):
"""Representative model.
[De]Serialization of API models relies on the attrs and cattrs
libraries with some additional customization. This model represents
these custom treatments and provides documentation for how and why
they are needed.
"""
# enum1 and model_no_refs1 are both defined before this class
# yet we will still refer to them using forward reference (double quotes)
# because we do not keep track of definition order in the generated code
enum1: "Enum1"
model_no_refs1: "ModelNoRefs1"
# enum2 and model_no_refs2 are both defined after this class and so the
# forward reference annotation is required.
enum2: "Enum2"
model_no_refs2: "ModelNoRefs2"
# Optional[] and List[]
list_enum1: Sequence["Enum1"]
list_model_no_refs1: Sequence["ModelNoRefs1"]
opt_enum1: Optional["Enum1"] = None
opt_model_no_refs1: Optional["ModelNoRefs1"] = None
# standard types
id: Optional[int] = None
name: Optional[str] = None
# testing reserved keyword translations
class_: Optional[str] = None
finally_: Optional[Sequence[int]] = None
# Because this model has "bare" forward ref annotated properties
# (enum1, enum2, model_no_refs1, and model_no_refs2) we need to tell
# the attr library that they're actually ForwardRef objects so that
# cattr will match our forward_ref_structure_hook structure hook
#
#
# Note: just doing the following:
#
# `converter.register_structure_hook("Enum1", structure_hook)`
#
# does not work. cattr stores these hooks using functools singledispatch
# which in turn creates a weakref.WeakKeyDictionary for the dispatch_cache.
# While the registration happens, the cache lookup throws a TypeError
# instead of a KeyError so we never look in the registry.
__annotations__ = {
# python generates these entries as "enum1": "Enum1" etc, we need
# them to be of the form "enum1": ForwardRef("Enum1")
"enum1": ForwardRef("Enum1"),
"model_no_refs1": ForwardRef("ModelNoRefs1"),
"enum2": ForwardRef("Enum2"),
"model_no_refs2": ForwardRef("ModelNoRefs2"),
# python "correctly" inserts the remaining entries but we have to
# define all or nothing using this API
"list_enum1": Sequence["Enum1"],
"list_model_no_refs1": Sequence["ModelNoRefs1"],
"opt_enum1": Optional["Enum1"],
"opt_model_no_refs1": Optional["ModelNoRefs1"],
"id": Optional[int],
"name": Optional[str],
"class_": Optional[str],
"finally_": Optional[Sequence[int]],
}
def __init__(
self,
*,
enum1: "Enum1",
model_no_refs1: "ModelNoRefs1",
enum2: "Enum2",
model_no_refs2: "ModelNoRefs2",
list_enum1: Sequence["Enum1"],
list_model_no_refs1: Sequence["ModelNoRefs1"],
opt_enum1: Optional["Enum1"] = None,
opt_model_no_refs1: Optional["ModelNoRefs1"] = None,
id: Optional[int] = None,
name: Optional[str] = None,
class_: Optional[str] = None,
finally_: Optional[Sequence[int]] = None,
):
"""Keep mypy and IDE suggestions happy.
We cannot use the built in __init__ generation attrs offers
because mypy complains about unknown keyword argument, even
when kw_only=True is set below. Furthermore, IDEs do not pickup
on the attrs generated __init__ so completion suggestion fails
for insantiating these classes otherwise.
"""
self.enum1 = enum1
self.model_no_refs1 = model_no_refs1
self.enum2 = enum2
self.model_no_refs2 = model_no_refs2
self.list_enum1 = list_enum1
self.list_model_no_refs1 = list_model_no_refs1
self.opt_enum1 = opt_enum1
self.opt_model_no_refs1 = opt_model_no_refs1
self.id = id
self.name = name
self.class_ = class_
self.finally_ = finally_
from bergen.enums import DataPointType, HostProtocol, PostmanProtocol, ProviderProtocol
from bergen.queries.delayed.pod import POD_QUERY
from bergen.queries.delayed.template import TEMPLATE_GET_QUERY
from bergen.extenders.port import ArgPortExtender, KwargPortExtender, ReturnPortExtender
from bergen.types.object import ArnheimObject
from bergen.types.model import ArnheimModel
from enum import Enum
from typing import Any, Generic, List, Optional, Type, TypeVar
try:
# python 3.8
from typing import ForwardRef
except ImportError:
# ForwardRef is private in python 3.6 and 3.7
from typing import _ForwardRef as ForwardRef
User = ForwardRef("User")
DataModel = ForwardRef("DataModel")
class AssignationParams(ArnheimObject):
provider: Optional[str]
class ProvisionParams(ArnheimObject):
provider: Optional[str]
auto_unprovide: Optional[bool]
class Avatar(ArnheimObject):
user: Optional['User']
avatar: Optional[str]
import yaml
# In order to use LibYAML bindings, which is much faster than pure Python.
# Download and install [LibYAML](https://pyyaml.org/wiki/LibYAML).
try:
from yaml import CLoader as Loader, CDumper as Dumper
except ImportError:
from yaml import Loader, Dumper
# Exported classes & functions.
__all__ = [
'Config',
]
AttrKey = TypeVar('AttrKey', str, bytes)
AttrValue = Union[Dict[AttrKey, ForwardRef('AttrValue')],
Sequence[ForwardRef('AttrValue')], int, float, str, bool]
# noinspection PyUnresolvedReferences
class Attr(dict):
"""Get attributes.
Examples:
```python
>>> d = Attr({'foo':3})
>>> d['foo']
3
>>> d.foo
3
>>> d.bar
objects we can just decorate the class rather than doing the
__annotations__ hack.
"""
name2: str
def __init__(self, *, name2: str):
self.name2 = name2
converter = cattr.Converter()
structure_hook = functools.partial(sr.forward_ref_structure_hook, globals(), converter)
translate_keys_structure_hook = functools.partial(
sr.translate_keys_structure_hook, converter
)
converter.register_structure_hook(ForwardRef("Model"), structure_hook)
converter.register_structure_hook(ForwardRef("ChildModel"), structure_hook)
converter.register_structure_hook(ForwardRef("Enum1"), structure_hook)
converter.register_structure_hook(ForwardRef("Enum2"), structure_hook)
converter.register_structure_hook(ForwardRef("ModelNoRefs1"), structure_hook)
converter.register_structure_hook(ForwardRef("ModelNoRefs2"), structure_hook)
converter.register_structure_hook(Model, translate_keys_structure_hook)
MODEL_DATA = {
"enum1": "entry1",
"model_no_refs1": {"name1": "model_no_refs1_name"},
"enum2": "entry2",
"model_no_refs2": {"name2": "model_no_refs2_name"},
"list_enum1": ["entry1"],
"list_model_no_refs1": [{"name1": "model_no_refs1_name"}],
def test_convert_generics_pep604():
assert (convert_generics(dict['Hero', list['Team']]
| int) == dict[ForwardRef('Hero'),
list[ForwardRef('Team')]] | int)
# pylint: disable=missing-module-docstring,missing-class-docstring,too-few-public-methods,invalid-name
from typing import ForwardRef
Cls = ForwardRef("Cls")
class Cls:
pass
from decimal import Decimal
from typing import Callable, Iterable, ForwardRef
import re
from msapp.datastore.gateway import Gsheet
TransactionItem = ForwardRef('msapp.bank.domain.TransactionItem')
class MonetaryDistributionData:
def __init__(self, transactionItemFactory: Callable,
distributionDataSource: Gsheet, distributionConfig: dict):
self._transactionItemFactory = transactionItemFactory
self._dataSource = distributionDataSource
assert 'source' in distributionConfig and 'targets' in distributionConfig, "ERROR: Distribution configuration missing."
self._config = distributionConfig
def source(self) -> TransactionItem:
return self._assembleTransactionItem(self._config['source'])
def targets(self) -> Iterable[TransactionItem]:
targets = []
for target in self._config['targets']:
targets.append(self._assembleTransactionItem(target))
return targets
def _assembleTransactionItem(self,
transactionItem: dict) -> TransactionItem:
if type(transactionItem['value']) is dict:
transactionItem['value'] = self._getDatastoreValue(
transactionItem['value'],
MonetaryDistributionData._fetchMonetaryValue)
from app.pydantic_models.gen.input_ent import CompetitionDirection
from app.pydantic_models.gen.input_ent import Page
from app.pydantic_models.gen.input_ent import User
from app.pydantic_models.gen.input_ent import SimpleEntity
from app.pydantic_models.gen.input_ent import HumanContacts
from app.pydantic_models.gen.input_ent import Smm
from app.pydantic_models.gen.input_ent import Admin
from app.pydantic_models.gen.input_ent import Direction
from app.pydantic_models.gen.input_ent import Human
from app.pydantic_models.gen.input_ent import Question
from app.pydantic_models.gen.input_ent import News
from app.pydantic_models.gen.input_ent import Competition
from app.pydantic_models.gen.input_ent import Developer
from app.settings.config import HOME_DIR
DirectionExpert = ForwardRef("DirectionExpert")
Task = ForwardRef("Task")
UserWork = ForwardRef("UserWork")
Criterion = ForwardRef("Criterion")
MarkWork = ForwardRef("MarkWork")
class DirectionExpert(BaseModel):
username: str
password: Optional[str] = None
name: str
surname: str
email: str
human_contacts: Union[int, HumanContacts, None] = None
photo: Optional[str] = ''
status: Optional[str] = ''
class WithExplicitForwardRef:
sibling: ForwardRef("WithExplicitForwardRef") # noqa: F821
# standard library
from typing import Any, ForwardRef, Tuple
# third-party packages
from pytest import mark
from typing_extensions import Literal
# submodules
from xarray_dataclasses.typing import DataArrayLike, get_dims, get_dtype
# type hints
x = ForwardRef("x")
y = ForwardRef("y")
X = Literal["x"]
Y = Literal["y"]
# test datasets
testdata_dims = [
(None, ()),
(Tuple[()], ()),
(X, ("x", )),
(x, ("x", )),
(Tuple[X], ("x", )),
(Tuple[x], ("x", )), # type: ignore
(Tuple[X, Y], ("x", "y")),
(Tuple[x, y], ("x", "y")), # type: ignore
]
testdata_dtype = [
(Any, None),
(int, int),
from __future__ import annotations
from typing import cast, Optional, Sequence, Tuple, Union, ForwardRef
from typeguard import typechecked
from arkouda.client import generic_msg, get_config
from arkouda.pdarrayclass import pdarray, create_pdarray
from arkouda.pdarraycreation import zeros, zeros_like, array
from arkouda.sorting import argsort
from arkouda.strings import Strings
from arkouda.logger import getArkoudaLogger
Categorical = ForwardRef('Categorical')
__all__ = ["unique", "in1d", "concatenate", "union1d", "intersect1d",
"setdiff1d", "setxor1d"]
logger = getArkoudaLogger(name='pdarraysetops')
@typechecked
def unique(pda : Union[pdarray,Strings,'Categorical'], # type: ignore
return_counts : bool=False) -> Union[Union[pdarray,Strings,'Categorical'], # type: ignore
Tuple[Union[pdarray,Strings,'Categorical'], Optional[pdarray]]]: #type: ignore
"""
Find the unique elements of an array.
Returns the unique elements of an array, sorted if the values are integers.
There is an optional output in addition to the unique elements: the number
of times each unique value comes up in the input array.
Parameters
----------
pda : pdarray or Strings or Categorical
class CountryModel(BaseModel):
id: int
name: str
flag_url: str
class Config:
orm_mode = True
class CountriesOutput(BaseModel):
countries: List[CountryModel]
AthleteRef = ForwardRef('AthleteModel')
class TeamModel(BaseModel):
id: int
name: str
group: GroupModel
logo_url: Optional[str]
country: CountryModel
class Config:
orm_mode = True
getter_dict = PonyGetterDict
class CreateTeamInput(BaseModel):
from typing import ForwardRef, Optional, List
from pydantic import BaseModel, HttpUrl, validator
Recipe = ForwardRef('Recipe')
class LoweredStr(str):
"""
Ensure database collation sanity by ignoring case.
"""
@classmethod
def __get_validators__(cls):
yield cls.validate
@classmethod
def validate(cls, v) -> str:
try:
s = v.lower()
except AttributeError:
raise TypeError(f'"{v}" is not of type str, got: {type(v)}')
return cls(s)
def __repr__(self):
return f'LoweredStr({super().__repr__()})'
class Base(BaseModel):
"""
Enable ORM Mode on all instances.
def test_restify_type_ForwardRef():
from typing import ForwardRef # type: ignore
assert restify(ForwardRef("myint")) == ":class:`myint`"
def __init__(self, f: ForwardRef("Service2")):
pass
from typing import Dict, Optional, Tuple
from flash.core.serve.component import ModelComponent
from flash.core.serve.core import Endpoint
from flash.core.serve.types import Repeated
from flash.core.utilities.imports import _PYDANTIC_AVAILABLE
if _PYDANTIC_AVAILABLE:
from pydantic import BaseModel, create_model
else:
BaseModel, create_model = object, None
try:
from typing import ForwardRef
RequestModel = ForwardRef("RequestModel")
ResponseModel = ForwardRef("ResponseModel")
except ImportError:
RequestModel = None
ResponseModel = None
class Alive(BaseModel):
"""Represent the alive-result of the endpoint ``/alive``."""
alive: bool # skipcq: PTC-W0052
class EndpointProtocol:
"""Records the model classes used to define an endpoints request/response body
The request / response body schemas are generated dynamically depending
def __init__(self, e: ForwardRef("Service4")):
pass
import unittest
from typing import Union, ForwardRef
import untypy
from untypy.error import UntypyTypeError
Shape = Union['Square', 'Circle']
Shape2 = Union[ForwardRef('Square'), ForwardRef('Circle')]
class Square:
pass
class Circle:
pass
@untypy.typechecked
def useShape(s: Shape) -> None:
pass
@untypy.typechecked
def useShape2(s: Shape2) -> None:
pass
@untypy.typechecked
def useUnion(s: Union[Square, Circle]) -> None:
pass
from __future__ import absolute_import, division, print_function, unicode_literals
import os
import re
import signal
from types import FrameType
from typing import BinaryIO, Callable, Iterable, Mapping, Union
try:
from typing import ForwardRef
except ImportError:
from typing import _ForwardRef as ForwardRef
JsonObject = Mapping[str, ForwardRef("Json")]
JsonArray = Iterable[ForwardRef("Json")]
JsonScalar = Union[str, int, float, bool, None]
Json = Union[JsonObject, JsonArray, JsonScalar]
VariableMap = Mapping[str, str]
def touch(fn: str) -> None:
with open(fn, "a"):
os.utime(fn, None)
def write_files(files: Mapping[str, str], dir_path: str) -> None:
"""
Write a bunch of files into the directory at dir_path.
def test_resolve_annotation_with_annotation_foward_typed_reference(self):
annotation = ForwardRef(aiplatform.Model.__name__)
results = utils.resolve_annotation(annotation)
self.assertEqual(results, aiplatform.Model)
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""
#=============================================================================
from typing import ForwardRef, List, Optional, Tuple, Union
from Utils.decorators import abstract
from . import ExtensionMessages, TYPE, warning
#=============================================================================
ConnectionRef = ForwardRef( "Connection" )
CursorRef = ForwardRef( "Cursor" )
#=============================================================================
class Cursor:
"""The class of DB cursors.
Copy from PEP 249:
These objects represent a database cursor, which is used to
manage the context of a fetch operation. Cursors created from
the same connection are not isolated, i.e., any changes done to
the database by a cursor are immediately visible by the other
cursors. Cursors created from different connections can or can
not be isolated, depending on how the transaction support is
implemented (see also the connection's '.rollback()' and
mador: Mador = None
manages_mador_name: str = None
operates: List[Mador] = None
permissions: List[Permission] = None
icon_path: str = None
class Config:
orm_mode = True
class UserAuth(User):
username: str
password: str
Hierarchy = ForwardRef('Hierarchy')
class Hierarchy(BaseModel):
""""Hierarchy for User and Commander."""
leader: Optional[int]
childs: List[Hierarchy] # list of Hierarchy.
Hierarchy.update_forward_refs()
class StatusTypes(str, Enum):
required = "required"
not_required = "not_required"
not_important = "not_important"
def test_bound_type_cheking_only_forward_ref_wrong_type():
"""We should check ``ForwardRef`` parameter name correctly."""
with utils.temp_registered(ForwardRef("WrongType"), st.just(1)):
with pytest.raises(ResolutionFailed):
st.builds(typechecking_only_fun).example()