idena.types¶
Module Contents¶
Classes¶
Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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docstring |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Typed version of namedtuple. |
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Attributes¶
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idena.types.FlipSubmit¶
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class
idena.types.ActivateInviteToRandomAddr¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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address:str¶
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hash:str¶
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key:str¶
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class
idena.types.AddressTransactions¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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token:Optional[str]¶
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transactions:Optional[List[Transaction]]¶
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class
idena.types.Answer¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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left= 1¶
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none= 0¶
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right= 2¶
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class
idena.types.Balance¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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balance:decimal.Decimal¶
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nonce:int¶
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stake:decimal.Decimal¶
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class
idena.types.BaseTxArgs¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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epoch:int¶
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nonce:int¶
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class
idena.types.Block¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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coinbase:str¶
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flags:List[str]¶
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hash:str¶
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height:int¶
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identityRoot:str¶
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ipfsCid:str¶
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isEmpty:bool¶
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offlineAddress:str¶
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parentHash:str¶
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root:str¶
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timestamp:int¶
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transactions:List[str]¶
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class
idena.types.BurntCoins¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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address:str¶
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amount:decimal.Decimal¶
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key:str¶
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class
idena.types.CeremonyIntervals¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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FlipLotteryDuration:float¶
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LongSessionDuration:float¶
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ShortSessionDuration:float¶
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class
idena.types.ChangeProfile¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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hash:str¶
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txHash:str¶
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class
idena.types.ContractTxReceipt¶ -
contract:str¶
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error:str¶
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gasCost:decimal.Decimal¶
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gasUsed:int¶
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success:bool¶
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txFee:decimal.Decimal¶
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txHash:str¶
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class
idena.types.DynamicArg¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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format:str¶
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index:int¶
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value:str¶
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class
idena.types.Epoch¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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currentPeriod:str¶
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currentValidationStart:datetime.datetime¶
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epoch:int¶
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nextValidation:datetime.datetime¶
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class
idena.types.Flip¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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hex:str¶
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privateHex:str¶
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class
idena.types.FlipAnswer¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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answer:Answer¶
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grade:Grade¶
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hash:str¶
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wrongWords:List[bool]¶
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class
idena.types.FlipAnswers¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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answers:List[FlipAnswer]¶
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class
idena.types.FlipHashes¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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available:bool¶
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extra:bool¶
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hash:str¶
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ready:bool¶
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class
idena.types.FlipWords¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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id:int¶
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used:bool¶
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words:List[int]¶
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class
idena.types.Grade¶ -
gradeA= 5¶
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gradeB= 4¶
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gradeC= 3¶
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gradeD= 2¶
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gradeNone= 0¶
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gradeReported= 1¶
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class
idena.types.Identity¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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address:str¶
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age:int¶
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availableFlips:int¶
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code:bytes¶
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flipKeyWordPairs:Optional[List[FlipWords]]¶
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flips:Optional[List[str]]¶
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generation:int¶
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invitees:Optional[List[TxAddr]]¶
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invites:int¶
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lastValidationFlags:Optional[List[str]]¶
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madeFlips:int¶
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online:bool¶
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penalty:decimal.Decimal¶
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profileHash:str¶
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pubkey:str¶
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requiredFlips:int¶
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stake:decimal.Decimal¶
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state:str¶
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totalQualifiedFlips:int¶
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totalShortFlipPoints:float¶
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class
idena.types.Invite¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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hash:str¶
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key:str¶
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receiver:str¶
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class
idena.types.Peer¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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addr:str¶
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id:str¶
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class
idena.types.Profile¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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info:bytes¶
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nickname:str¶
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class
idena.types.RawFlip¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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privateHex:str¶
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publicHex:str¶
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class
idena.types.SendTxArgs¶ Bases:
BaseTxArgsdocstring
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amount:decimal.Decimal¶
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from_:str¶
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maxFee:decimal.Decimal¶
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payload:str¶
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tips:decimal.Decimal¶
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to:str¶
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type:TxType¶
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useProto:bool¶
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class
idena.types.Stake¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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Hash:str¶
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Stake:decimal.Decimal¶
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class
idena.types.State¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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name:str¶
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class
idena.types.Sync¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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currentBlock:int¶
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genesisBlock:int¶
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highestBlock:int¶
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syncing:bool¶
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wrongTime:bool¶
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class
idena.types.Transaction¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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amount:str¶
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blockHash:str¶
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epoch:int¶
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from_:str¶
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hash:str¶
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maxFee:str¶
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nonce:int¶
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payload:str¶
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timestamp:int¶
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tips:str¶
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to:Optional[str]¶
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type:str¶
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usedFee:str¶
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class
idena.types.TxAddr¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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Address:str¶
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TxHash:str¶
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class
idena.types.TxEvent¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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data:List[bytes]¶
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eventName:str¶
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class
idena.types.TxReceipt¶ Bases:
NamedTupleTyped version of namedtuple.
Usage in Python versions >= 3.6:
class Employee(NamedTuple): name: str id: int
This is equivalent to:
Employee = collections.namedtuple('Employee', ['name', 'id'])
The resulting class has extra __annotations__ and _field_types attributes, giving an ordered dict mapping field names to types. __annotations__ should be preferred, while _field_types is kept to maintain pre PEP 526 compatibility. (The field names are in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use:
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
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contractAddress:str¶
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error:str¶
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events:List[TxEvent]¶
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from_:str¶
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gasCost:int¶
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gasUsed:int¶
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success:bool¶
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txHash:str¶
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