Input Range¶

class blocksci.InputRange¶

address¶

For each item: The address linked to this input

Type:	`blocksci.AddressRange`

address_type¶

For each item: The address type of the input

Type:	`list`

age¶

For each item: The number of blocks between the spent output and this input

Type:	`numpy.ndarray[int32]`

all¶: Returns a list of all of the objects in the range

block¶

For each item: The block that contains this input

Type:	`blocksci.BlockRange`

index¶

For each item: The index index inside this input’s transaction

Type:	`numpy.ndarray[uint32]`

sent_after_height()¶

Filter the inputs to include only inputs which spent an output created after the given height

Return type:	`blocksci.InputIterator`

sent_before_height()¶

Filter the inputs to include only inputs which spent an output created before the given height

Return type:	`blocksci.InputIterator`

sequence_num¶

For each item: The sequence number of the input

Type:	`numpy.ndarray[uint32]`

spent_tx¶

For each item: The transaction that this input spent

Type:	`blocksci.TxRange`

spent_tx_index¶

For each item: The index of the transaction that this input spent

Type:	`numpy.ndarray[uint32]`

tx¶

For each item: The transaction that contains this input

Type:	`blocksci.TxRange`

tx_index¶

For each item: The tx index of this input’s transaction

Type:	`numpy.ndarray[uint32]`

value¶

For each item: The value in base currency attached to this input

Type:	`numpy.ndarray[int64]`

with_address_type()¶

Filter the inputs to include only inputs that came from an address with the given type

Return type:	`blocksci.InputIterator`

with_age_greater_than()¶

Filter the inputs to include only inputs with age more than the given value

Return type:	`blocksci.InputIterator`

with_age_less_than()¶

Filter the inputs to include only inputs with age less than the given value

Return type:	`blocksci.InputIterator`