bittensor.core.subtensor#
Classes#
Thin layer for interacting with Substrate Interface. Mostly a collection of frequently-used calls. |
Module Contents#
- class bittensor.core.subtensor.Subtensor(network=None, config=None, _mock=False, log_verbose=False)#
Bases:
bittensor.core.types.SubtensorMixin
Thin layer for interacting with Substrate Interface. Mostly a collection of frequently-used calls.
Initializes an instance of the Subtensor class.
- Parameters:
- Raises:
Any exceptions raised during the setup, configuration, or connection process. –
- add_stake(wallet, hotkey_ss58=None, netuid=None, amount=None, wait_for_inclusion=True, wait_for_finalization=False)#
Adds the specified amount of stake to a neuron identified by the hotkey
SS58
address. Staking is a fundamental process in the Bittensor network that enables neurons to participate actively and earnincentives.
- Parameters:
wallet (bittensor_wallet.Wallet) – The wallet to be used for staking.
hotkey_ss58 (Optional[str]) – The
SS58
address of the hotkey associated with the neuron.netuid (Optional[int]) – The unique identifier of the subnet to which the neuron belongs.
amount (Balance) – The amount of TAO to stake.
wait_for_inclusion (bool) – Waits for the transaction to be included in a block.
wait_for_finalization (bool) – Waits for the transaction to be finalized on the blockchain.
- Returns:
True
if the staking is successful, False otherwise.- Return type:
- This function enables neurons to increase their stake in the network, enhancing their influence and potential
rewards in line with Bittensor’s consensus and reward mechanisms.
- add_stake_multiple(wallet, hotkey_ss58s, netuids, amounts=None, wait_for_inclusion=True, wait_for_finalization=False)#
Adds stakes to multiple neurons identified by their hotkey SS58 addresses. This bulk operation allows for efficient staking across different neurons from a single wallet.
- Parameters:
wallet (bittensor_wallet.Wallet) – The wallet used for staking.
hotkey_ss58s (list[str]) – List of
SS58
addresses of hotkeys to stake to.amounts (list[Balance]) – Corresponding amounts of TAO to stake for each hotkey.
wait_for_inclusion (bool) – Waits for the transaction to be included in a block.
wait_for_finalization (bool) – Waits for the transaction to be finalized on the blockchain.
- Returns:
True
if the staking is successful for all specified neurons, False otherwise.- Return type:
- This function is essential for managing stakes across multiple neurons, reflecting the dynamic and collaborative
nature of the Bittensor network.
- all_subnets(block=None)#
Retrieves the subnet information for all subnets in the network.
- Parameters:
block (Optional[int]) – The block number to query the subnet information from.
- Returns:
A list of DynamicInfo objects, each containing detailed information about a subnet.
- Return type:
Optional[DynamicInfo]
- blocks_since_last_update(netuid, uid)#
Returns the number of blocks since the last update for a specific UID in the subnetwork.
- bonds(netuid, block=None)#
- Retrieves the bond distribution set by neurons within a specific subnet of the Bittensor network.
Bonds represent the investments or commitments made by neurons in one another, indicating a level of trust and perceived value. This bonding mechanism is integral to the network’s market-based approach to measuring and rewarding machine intelligence.
- Parameters:
- Returns:
List of tuples mapping each neuron’s UID to its bonds with other neurons.
- Return type:
- Understanding bond distributions is crucial for analyzing the trust dynamics and market behavior within the
subnet. It reflects how neurons recognize and invest in each other’s intelligence and contributions, supporting diverse and niche systems within the Bittensor ecosystem.
- burned_register(wallet, netuid, wait_for_inclusion=False, wait_for_finalization=True)#
- Registers a neuron on the Bittensor network by recycling TAO. This method of registration involves recycling
TAO tokens, allowing them to be re-mined by performing work on the network.
- Parameters:
wallet (bittensor_wallet.Wallet) – The wallet associated with the neuron to be registered.
netuid (int) – The unique identifier of the subnet.
wait_for_inclusion (bool, optional) – Waits for the transaction to be included in a block. Defaults to False.
wait_for_finalization (bool, optional) – Waits for the transaction to be finalized on the blockchain. Defaults to True.
- Returns:
True
if the registration is successful, False otherwise.- Return type:
- close()#
Closes the websocket connection
- commit(wallet, netuid, data)#
Commits arbitrary data to the Bittensor network by publishing metadata.
- commit_reveal_enabled(netuid, block=None)#
Check if commit-reveal mechanism is enabled for a given network at a specific block.
- commit_weights(wallet, netuid, salt, uids, weights, version_key=version_as_int, wait_for_inclusion=False, wait_for_finalization=False, max_retries=5)#
Commits a hash of the neuron’s weights to the Bittensor blockchain using the provided wallet. This action serves as a commitment or snapshot of the neuron’s current weight distribution.
- Parameters:
wallet (bittensor_wallet.Wallet) – The wallet associated with the neuron committing the weights.
netuid (int) – The unique identifier of the subnet.
salt (list[int]) – list of randomly generated integers as salt to generated weighted hash.
uids (np.ndarray) – NumPy array of neuron UIDs for which weights are being committed.
weights (np.ndarray) – NumPy array of weight values corresponding to each UID.
version_key (int) – Version key for compatibility with the network. Default is
int representation of Bittensor version.
.wait_for_inclusion (bool) – Waits for the transaction to be included in a block. Default is
False
.wait_for_finalization (bool) – Waits for the transaction to be finalized on the blockchain. Default is
False
.max_retries (int) – The number of maximum attempts to commit weights. Default is
5
.
- Returns:
True
if the weight commitment is successful, False otherwise. And msg, a stringvalue describing the success or potential error.
- Return type:
- This function allows neurons to create a tamper-proof record of their weight distribution at a specific point
in time, enhancing transparency and accountability within the Bittensor network.
- difficulty(netuid, block=None)#
Retrieves the ‘Difficulty’ hyperparameter for a specified subnet in the Bittensor network.
- This parameter is instrumental in determining the computational challenge required for neurons to participate in
consensus and validation processes.
- Parameters:
- Returns:
The value of the ‘Difficulty’ hyperparameter if the subnet exists,
None
otherwise.- Return type:
Optional[int]
- The ‘Difficulty’ parameter directly impacts the network’s security and integrity by setting the computational
effort required for validating transactions and participating in the network’s consensus mechanism.
- does_hotkey_exist(hotkey_ss58, block=None)#
Returns true if the hotkey is known by the chain and there are accounts.
- encode_params(call_definition, params)#
Returns a hex encoded string of the params using their types.
- filter_netuids_by_registered_hotkeys(all_netuids, filter_for_netuids, all_hotkeys, block)#
Filters a given list of all netuids for certain specified netuids and hotkeys
- Parameters:
- Returns:
The filtered list of netuids.
- Return type:
- get_all_commitments(netuid, block=None)#
- get_all_metagraphs_info(block=None)#
Retrieves a list of MetagraphInfo objects for all subnets
- get_all_subnets_info(block=None)#
- Retrieves detailed information about all subnets within the Bittensor network. This function provides
comprehensive data on each subnet, including its characteristics and operational parameters.
- Parameters:
block (Optional[int]) – The blockchain block number for the query.
- Returns:
A list of SubnetInfo objects, each containing detailed information about a subnet.
- Return type:
- Gaining insights into the subnets’ details assists in understanding the network’s composition, the roles of
different subnets, and their unique features.
- get_balance(address, block=None)#
Retrieves the balance for given coldkey.
- Parameters:
- Returns:
Balance object.
- Return type:
- get_balances(*addresses, block=None)#
Retrieves the balance for given coldkey(s)
- get_block_hash(block=None)#
- Retrieves the hash of a specific block on the Bittensor blockchain. The block hash is a unique identifier
representing the cryptographic hash of the block’s content, ensuring its integrity and immutability.
- Parameters:
block (int) – The block number for which the hash is to be retrieved.
- Returns:
The cryptographic hash of the specified block.
- Return type:
- The block hash is a fundamental aspect of blockchain technology, providing a secure reference to each block’s
data. It is crucial for verifying transactions, ensuring data consistency, and maintaining the trustworthiness of the blockchain.
- get_children(hotkey, netuid, block=None)#
- This method retrieves the children of a given hotkey and netuid. It queries the SubtensorModule’s ChildKeys
storage function to get the children and formats them before returning as a tuple.
- Parameters:
- Returns:
- A tuple containing a boolean indicating success or failure, a list of formatted children, and an error
message (if applicable)
- Return type:
- get_commitment(netuid, uid, block=None)#
Retrieves the on-chain commitment for a specific neuron in the Bittensor network.
- Parameters:
- Returns:
The commitment data as a string.
- Return type:
- get_current_block()#
- Returns the current block number on the Bittensor blockchain. This function provides the latest block number,
indicating the most recent state of the blockchain.
- Returns:
The current chain block number.
- Return type:
- Knowing the current block number is essential for querying real-time data and performing time-sensitive
operations on the blockchain. It serves as a reference point for network activities and data synchronization.
- get_current_weight_commit_info(netuid, block=None)#
Retrieves CRV3 weight commit information for a specific subnet.
- Parameters:
- Returns:
A list of commit details, where each entry is a dictionary with keys ‘who’, ‘serialized_commit’, and ‘reveal_round’, or an empty list if no data is found.
- Return type:
- get_delegate_by_hotkey(hotkey_ss58, block=None)#
- Retrieves detailed information about a delegate neuron based on its hotkey. This function provides a
comprehensive view of the delegate’s status, including its stakes, nominators, and reward distribution.
- Parameters:
- Returns:
Detailed information about the delegate neuron,
None
if not found.- Return type:
Optional[DelegateInfo]
- This function is essential for understanding the roles and influence of delegate neurons within the Bittensor
network’s consensus and governance structures.
- get_delegate_identities(block=None)#
- Fetches delegates identities from the chain and GitHub. Preference is given to chain data, and missing info is
filled-in by the info from GitHub. At some point, we want to totally move away from fetching this info from GitHub, but chain data is still limited in that regard.
- Parameters:
block (Optional[int]) – The blockchain block number for the query.
- Returns:
DelegatesDetails, …}
- Return type:
Dict {ss58
- get_delegate_take(hotkey_ss58, block=None)#
- Retrieves the delegate ‘take’ percentage for a neuron identified by its hotkey. The ‘take’ represents the
percentage of rewards that the delegate claims from its nominators’ stakes.
- Parameters:
- Returns:
The delegate take percentage, None if not available.
- Return type:
Optional[float]
- The delegate take is a critical parameter in the network’s incentive structure, influencing the distribution of
rewards among neurons and their nominators.
- get_delegated(coldkey_ss58, block=None)#
Retrieves a list of delegates and their associated stakes for a given coldkey. This function identifies the delegates that a specific account has staked tokens on.
- Parameters:
- Returns:
A list of tuples, each containing a delegate’s information and staked amount.
- Return type:
list[tuple[bittensor.core.chain_data.DelegateInfo, bittensor.utils.balance.Balance]]
- This function is important for account holders to understand their stake allocations and their involvement in
the network’s delegation and consensus mechanisms.
- get_delegates(block=None)#
Fetches all delegates on the chain
- get_existential_deposit(block=None)#
Retrieves the existential deposit amount for the Bittensor blockchain. The existential deposit is the minimum amount of TAO required for an account to exist on the blockchain. Accounts with balances below this threshold can be reaped to conserve network resources.
- Parameters:
block (Optional[int]) – The blockchain block number for the query.
- Returns:
The existential deposit amount.
- Return type:
Optional[bittensor.utils.balance.Balance]
- The existential deposit is a fundamental economic parameter in the Bittensor network, ensuring efficient use of
storage and preventing the proliferation of dust accounts.
- get_hotkey_owner(hotkey_ss58, block=None)#
Retrieves the owner of the given hotkey at a specific block hash. This function queries the blockchain for the owner of the provided hotkey. If the hotkey does not exist at the
specified block hash, it returns None.
- get_hyperparameter(param_name, netuid, block=None)#
Retrieves a specified hyperparameter for a specific subnet.
- Parameters:
- Returns:
The value of the specified hyperparameter if the subnet exists, or None
- Return type:
Optional[Any]
- get_metagraph_info(netuid, block=None)#
Retrieves the MetagraphInfo dataclass from the node for a single subnet (netuid)
- get_minimum_required_stake()#
Returns the minimum required stake for nominators in the Subtensor network. This method retries the substrate call up to three times with exponential backoff in case of failures.
- get_netuids_for_hotkey(hotkey_ss58, block=None)#
- Retrieves a list of subnet UIDs (netuids) for which a given hotkey is a member. This function identifies the
specific subnets within the Bittensor network where the neuron associated with the hotkey is active.
- get_neuron_certificate(hotkey, netuid, block=None)#
- Retrieves the TLS certificate for a specific neuron identified by its unique identifier (UID) within a
specified subnet (netuid) of the Bittensor network.
- Parameters:
- Returns:
the certificate of the neuron if found, None otherwise.
- Return type:
Optional[bittensor.utils.Certificate]
This function is used for certificate discovery for setting up mutual tls communication between neurons.
- get_neuron_for_pubkey_and_subnet(hotkey_ss58, netuid, block=None)#
- Retrieves information about a neuron based on its public key (hotkey SS58 address) and the specific subnet UID
(netuid). This function provides detailed neuron information for a particular subnet within the Bittensor network.
- Parameters:
- Returns:
- Detailed information about the neuron if found,
None
otherwise.
- Return type:
- This function is crucial for accessing specific neuron data and understanding its status, stake, and other
attributes within a particular subnet of the Bittensor ecosystem.
- get_stake(coldkey_ss58, hotkey_ss58, netuid, block=None)#
Returns the stake under a coldkey - hotkey pairing.
- Parameters:
- Returns:
The stake under the coldkey - hotkey pairing.
- Return type:
- get_stake_for_coldkey(coldkey_ss58, block=None)#
Retrieves the stake information for a given coldkey.
- get_stake_for_coldkey_and_hotkey(coldkey_ss58, hotkey_ss58, netuids=None, block=None)#
Retrieves all coldkey-hotkey pairing stake across specified (or all) subnets
- Parameters:
- Returns:
StakeInfo} pairing of all stakes across all subnets.
- Return type:
A {netuid
- get_stake_info_for_coldkey#
- get_subnet_burn_cost(block=None)#
- Retrieves the burn cost for registering a new subnet within the Bittensor network. This cost represents the
amount of Tao that needs to be locked or burned to establish a new subnet.
- Parameters:
block (Optional[int]) – The blockchain block number for the query.
- Returns:
The burn cost for subnet registration.
- Return type:
- The subnet burn cost is an important economic parameter, reflecting the network’s mechanisms for controlling
the proliferation of subnets and ensuring their commitment to the network’s long-term viability.
- get_subnet_hyperparameters(netuid, block=None)#
- Retrieves the hyperparameters for a specific subnet within the Bittensor network. These hyperparameters define
the operational settings and rules governing the subnet’s behavior.
- Parameters:
- Returns:
The subnet’s hyperparameters, or None if not available.
- Return type:
Optional[Union[list, bittensor.core.chain_data.SubnetHyperparameters]]
- Understanding the hyperparameters is crucial for comprehending how subnets are configured and managed, and how
they interact with the network’s consensus and incentive mechanisms.
- get_subnet_reveal_period_epochs(netuid, block=None)#
Retrieve the SubnetRevealPeriodEpochs hyperparameter.
- get_subnets(block=None)#
Retrieves the list of all subnet unique identifiers (netuids) currently present in the Bittensor network.
- Parameters:
block (Optional[int]) – The blockchain block number for the query.
- Returns:
A list of subnet netuids.
- Return type:
This function provides a comprehensive view of the subnets within the Bittensor network, offering insights into its diversity and scale.
- get_total_subnets(block=None)#
Retrieves the total number of subnets within the Bittensor network as of a specific blockchain block.
- Parameters:
block (Optional[int]) – The blockchain block number for the query.
- Returns:
The total number of subnets in the network.
- Return type:
Optional[str]
- Understanding the total number of subnets is essential for assessing the network’s growth and the extent of its
decentralized infrastructure.
- get_transfer_fee(wallet, dest, value)#
- Calculates the transaction fee for transferring tokens from a wallet to a specified destination address. This
function simulates the transfer to estimate the associated cost, taking into account the current network conditions and transaction complexity.
- Parameters:
wallet (bittensor_wallet.Wallet) – The wallet from which the transfer is initiated.
dest (str) – The
SS58
address of the destination account.value (Union[bittensor.utils.balance.Balance, float, int]) – The amount of tokens to be transferred, specified as a Balance object, or in Tao (float) or Rao (int) units.
- Returns:
- The estimated transaction fee for the transfer, represented as a Balance
object.
- Return type:
- Estimating the transfer fee is essential for planning and executing token transactions, ensuring that the wallet
has sufficient funds to cover both the transfer amount and the associated costs. This function provides a crucial tool for managing financial operations within the Bittensor network.
- get_uid_for_hotkey_on_subnet(hotkey_ss58, netuid, block=None)#
Retrieves the unique identifier (UID) for a neuron’s hotkey on a specific subnet.
- Parameters:
- Returns:
The UID of the neuron if it is registered on the subnet,
None
otherwise.- Return type:
Optional[int]
- The UID is a critical identifier within the network, linking the neuron’s hotkey to its operational and
governance activities on a particular subnet.
- get_vote_data(proposal_hash, block=None)#
- Retrieves the voting data for a specific proposal on the Bittensor blockchain. This data includes information
about how senate members have voted on the proposal.
- Parameters:
- Returns:
An object containing the proposal’s voting data, or None if not found.
- Return type:
Optional[bittensor.core.async_subtensor.ProposalVoteData]
- This function is important for tracking and understanding the decision-making processes within the Bittensor
network, particularly how proposals are received and acted upon by the governing body.
- immunity_period(netuid, block=None)#
- Retrieves the ‘ImmunityPeriod’ hyperparameter for a specific subnet. This parameter defines the duration during
which new neurons are protected from certain network penalties or restrictions.
- Parameters:
- Returns:
The value of the ‘ImmunityPeriod’ hyperparameter if the subnet exists,
None
otherwise.- Return type:
Optional[int]
- The ‘ImmunityPeriod’ is a critical aspect of the network’s governance system, ensuring that new participants
have a grace period to establish themselves and contribute to the network without facing immediate punitive actions.
- is_hotkey_delegate(hotkey_ss58, block=None)#
- Determines whether a given hotkey (public key) is a delegate on the Bittensor network. This function checks if
the neuron associated with the hotkey is part of the network’s delegation system.
- Parameters:
- Returns:
True if the hotkey is a delegate, False otherwise.
- Return type:
- Being a delegate is a significant status within the Bittensor network, indicating a neuron’s involvement in
consensus and governance processes.
- is_hotkey_registered(hotkey_ss58, netuid=None, block=None)#
- Determines whether a given hotkey (public key) is registered in the Bittensor network, either globally across
any subnet or specifically on a specified subnet. This function checks the registration status of a neuron identified by its hotkey, which is crucial for validating its participation and activities within the network.
- Parameters:
- Returns:
- True if the hotkey is registered in the specified context (either any subnet or a specific subnet),
False otherwise.
- Return type:
- This function is important for verifying the active status of neurons in the Bittensor network. It aids in
understanding whether a neuron is eligible to participate in network processes such as consensus, validation, and incentive distribution based on its registration status.
- is_hotkey_registered_any(hotkey_ss58, block=None)#
Checks if a neuron’s hotkey is registered on any subnet within the Bittensor network.
- Parameters:
- Returns:
True
if the hotkey is registered on any subnet, False otherwise.- Return type:
This function is essential for determining the network-wide presence and participation of a neuron.
- is_hotkey_registered_on_subnet(hotkey_ss58, netuid, block=None)#
Checks if the hotkey is registered on a given netuid.
- last_drand_round()#
Retrieves the last drand round emitted in bittensor. This corresponds when committed weights will be revealed.
- Returns:
The latest Drand round emitted in bittensor.
- Return type:
- log_verbose = False#
- max_weight_limit(netuid, block=None)#
Returns network MaxWeightsLimit hyperparameter.
- metagraph(netuid, lite=True, block=None)#
- Parameters:
- Return type:
- min_allowed_weights(netuid, block=None)#
Returns network MinAllowedWeights hyperparameter.
- move_stake(wallet, origin_hotkey, origin_netuid, destination_hotkey, destination_netuid, amount, wait_for_inclusion=True, wait_for_finalization=False)#
Moves stake to a different hotkey and/or subnet.
- Parameters:
wallet (bittensor.wallet) – The wallet to move stake from.
origin_hotkey (str) – The SS58 address of the source hotkey.
origin_netuid (int) – The netuid of the source subnet.
destination_hotkey (str) – The SS58 address of the destination hotkey.
destination_netuid (int) – The netuid of the destination subnet.
amount (Balance) – Amount of stake to move.
wait_for_inclusion (bool) – Waits for the transaction to be included in a block.
wait_for_finalization (bool) – Waits for the transaction to be finalized on the blockchain.
- Returns:
True if the stake movement was successful.
- Return type:
success (bool)
- neuron_for_uid(uid, netuid, block=None)#
- Retrieves detailed information about a specific neuron identified by its unique identifier (UID) within a
specified subnet (netuid) of the Bittensor network. This function provides a comprehensive view of a neuron’s attributes, including its stake, rank, and operational status.
- Parameters:
- Returns:
Detailed information about the neuron if found, a null neuron otherwise
- Return type:
bittensor.core.chain_data.NeuronInfo
- This function is crucial for analyzing individual neurons’ contributions and status within a specific subnet,
offering insights into their roles in the network’s consensus and validation mechanisms.
- neurons(netuid, block=None)#
Retrieves a list of all neurons within a specified subnet of the Bittensor network. This function provides a snapshot of the subnet’s neuron population, including each neuron’s attributes and
network interactions.
- Parameters:
- Returns:
A list of NeuronInfo objects detailing each neuron’s characteristics in the subnet.
- Return type:
list[bittensor.core.chain_data.NeuronInfo]
- Understanding the distribution and status of neurons within a subnet is key to comprehending the network’s
decentralized structure and the dynamics of its consensus and governance processes.
- neurons_lite(netuid, block=None)#
Retrieves a list of neurons in a ‘lite’ format from a specific subnet of the Bittensor network. This function provides a streamlined view of the neurons, focusing on key attributes such as stake and network
participation.
- Parameters:
- Returns:
A list of simplified neuron information for the subnet.
- Return type:
list[bittensor.core.chain_data.NeuronInfoLite]
- This function offers a quick overview of the neuron population within a subnet, facilitating efficient analysis
of the network’s decentralized structure and neuron dynamics.
- query_constant(module_name, constant_name, block=None)#
- Retrieves a constant from the specified module on the Bittensor blockchain. This function is used to access
fixed parameters or values defined within the blockchain’s modules, which are essential for understanding the network’s configuration and rules.
- Parameters:
- Returns:
The value of the constant if found, None otherwise.
- Return type:
Optional[async_substrate_interface.types.ScaleObj]
- Constants queried through this function can include critical network parameters such as inflation rates,
consensus rules, or validation thresholds, providing a deeper understanding of the Bittensor network’s operational parameters.
- query_identity(coldkey_ss58, block=None)#
- Queries the identity of a neuron on the Bittensor blockchain using the given key. This function retrieves
detailed identity information about a specific neuron, which is a crucial aspect of the network’s decentralized identity and governance system.
- Parameters:
- Returns:
An object containing the identity information of the neuron if found,
None
otherwise.- Return type:
- The identity information can include various attributes such as the neuron’s stake, rank, and other
network-specific details, providing insights into the neuron’s role and status within the Bittensor network.
Note
- See the Bittensor CLI documentation for supported identity
parameters.
- query_map(module, name, block=None, params=None)#
- Queries map storage from any module on the Bittensor blockchain. This function retrieves data structures that
represent key-value mappings, essential for accessing complex and structured data within the blockchain modules.
- Parameters:
- Returns:
A data structure representing the map storage if found, None otherwise.
- Return type:
result
- This function is particularly useful for retrieving detailed and structured data from various blockchain
modules, offering insights into the network’s state and the relationships between its different components.
- query_map_subtensor(name, block=None, params=None)#
- Queries map storage from the Subtensor module on the Bittensor blockchain. This function is designed to retrieve
a map-like data structure, which can include various neuron-specific details or network-wide attributes.
- Parameters:
- Returns:
An object containing the map-like data structure, or None if not found.
- Return type:
async_substrate_interface.sync_substrate.QueryMapResult
- This function is particularly useful for analyzing and understanding complex network structures and
relationships within the Bittensor ecosystem, such as interneuronal connections and stake distributions.
- query_module(module, name, block=None, params=None)#
- Queries any module storage on the Bittensor blockchain with the specified parameters and block number. This
function is a generic query interface that allows for flexible and diverse data retrieval from various blockchain modules.
- Parameters:
- Returns:
An object containing the requested data if found, None otherwise.
- Return type:
Optional[Union[async_substrate_interface.types.ScaleObj, Any, bittensor.utils.balance.FixedPoint]]
- This versatile query function is key to accessing a wide range of data and insights from different parts of the
Bittensor blockchain, enhancing the understanding and analysis of the network’s state and dynamics.
- query_runtime_api(runtime_api, method, params=None, block=None)#
- Queries the runtime API of the Bittensor blockchain, providing a way to interact with the underlying runtime and
retrieve data encoded in Scale Bytes format. This function is essential for advanced users who need to interact with specific runtime methods and decode complex data types.
- Parameters:
- Returns:
The Scale Bytes encoded result from the runtime API call, or None if the call fails.
- Return type:
Any
- This function enables access to the deeper layers of the Bittensor blockchain, allowing for detailed and
specific interactions with the network’s runtime environment.
- query_subtensor(name, block=None, params=None)#
- Queries named storage from the Subtensor module on the Bittensor blockchain. This function is used to retrieve
specific data or parameters from the blockchain, such as stake, rank, or other neuron-specific attributes.
- Parameters:
- Returns:
An object containing the requested data.
- Return type:
query_response
- This query function is essential for accessing detailed information about the network and its neurons, providing
valuable insights into the state and dynamics of the Bittensor ecosystem.
- recycle(netuid, block=None)#
- Retrieves the ‘Burn’ hyperparameter for a specified subnet. The ‘Burn’ parameter represents the amount of Tao
that is effectively recycled within the Bittensor network.
- Parameters:
- Returns:
The value of the ‘Burn’ hyperparameter if the subnet exists, None otherwise.
- Return type:
Optional[Balance]
- Understanding the ‘Burn’ rate is essential for analyzing the network registration usage, particularly how it is
correlated with user activity and the overall cost of participation in a given subnet.
- register(wallet, netuid, wait_for_inclusion=False, wait_for_finalization=True, max_allowed_attempts=3, output_in_place=True, cuda=False, dev_id=0, tpb=256, num_processes=None, update_interval=None, log_verbose=False)#
Registers a neuron on the Bittensor network using the provided wallet.
- Registration is a critical step for a neuron to become an active participant in the network, enabling it to
stake, set weights, and receive incentives.
- Parameters:
wallet (bittensor_wallet.Wallet) – The wallet associated with the neuron to be registered.
netuid (int) – The unique identifier of the subnet.
wait_for_inclusion (bool) – Waits for the transaction to be included in a block. Defaults to False.
wait_for_finalization (bool) – Waits for the transaction to be finalized on the blockchain. Defaults to True.
max_allowed_attempts (int) – Maximum number of attempts to register the wallet.
output_in_place (bool) – If true, prints the progress of the proof of work to the console in-place. Meaning the progress is printed on the same lines. Defaults to True.
cuda (bool) – If
true
, the wallet should be registered using CUDA device(s). Defaults to False.dev_id (Union[List[int], int]) – The CUDA device id to use, or a list of device ids. Defaults to 0 (zero).
tpb (int) – The number of threads per block (CUDA). Default to 256.
num_processes (Optional[int]) – The number of processes to use to register. Default to None.
update_interval (Optional[int]) – The number of nonces to solve between updates. Default to None.
log_verbose (bool) – If
true
, the registration process will log more information. Default to False.
- Returns:
True
if the registration is successful, False otherwise.- Return type:
This function facilitates the entry of new neurons into the network, supporting the decentralized growth and scalability of the Bittensor ecosystem.
- register_subnet(wallet, wait_for_inclusion=False, wait_for_finalization=True)#
Registers a new subnetwork on the Bittensor network.
- Parameters:
wallet (bittensor_wallet.Wallet) – The wallet to be used for subnet registration.
wait_for_inclusion (bool) – If set, waits for the extrinsic to enter a block before returning true, or returns false if the extrinsic fails to enter the block within the timeout. Default is False.
wait_for_finalization (bool) – If set, waits for the extrinsic to be finalized on the chain before returning true, or returns false if the extrinsic fails to be finalized within the timeout. Default is True.
- Returns:
True if the subnet registration was successful, False otherwise.
- Return type:
- reveal_weights(wallet, netuid, uids, weights, salt, version_key=version_as_int, wait_for_inclusion=False, wait_for_finalization=False, max_retries=5)#
Reveals the weights for a specific subnet on the Bittensor blockchain using the provided wallet. This action serves as a revelation of the neuron’s previously committed weight distribution.
- Parameters:
wallet (bittensor_wallet.Wallet) – The wallet associated with the neuron revealing the weights.
netuid (int) – The unique identifier of the subnet.
uids (np.ndarray) – NumPy array of neuron UIDs for which weights are being revealed.
weights (np.ndarray) – NumPy array of weight values corresponding to each UID.
salt (np.ndarray) – NumPy array of salt values corresponding to the hash function.
version_key (int) – Version key for compatibility with the network. Default is
int representation of Bittensor version
.wait_for_inclusion (bool) – Waits for the transaction to be included in a block. Default is
False
.wait_for_finalization (bool) – Waits for the transaction to be finalized on the blockchain. Default is
False
.max_retries (int) – The number of maximum attempts to reveal weights. Default is
5
.
- Returns:
True
if the weight revelation is successful, False otherwise. And msg, a stringvalue describing the success or potential error.
- Return type:
- This function allows neurons to reveal their previously committed weight distribution, ensuring transparency
and accountability within the Bittensor network.
- root_register(wallet, wait_for_inclusion=False, wait_for_finalization=True)#
Register neuron by recycling some TAO.
- Parameters:
- Returns:
True if registration was successful, otherwise False.
- Return type:
- root_set_weights(wallet, netuids, weights, version_key=0, wait_for_inclusion=False, wait_for_finalization=False)#
Set weights for root network.
- Parameters:
wallet (bittensor_wallet.Wallet) – bittensor wallet instance.
version_key (int, optional) – Version key for compatibility with the network. Default is
0
.wait_for_inclusion (bool, optional) – Waits for the transaction to be included in a block. Defaults to
False
.wait_for_finalization (bool, optional) – Waits for the transaction to be finalized on the blockchain. Defaults to
False
.
- Returns:
True if the setting of weights is successful, False otherwise.
- Return type:
- serve_axon(netuid, axon, wait_for_inclusion=False, wait_for_finalization=True, certificate=None)#
- Registers an
Axon
serving endpoint on the Bittensor network for a specific neuron. This function is used to set up the Axon, a key component of a neuron that handles incoming queries and data processing tasks.
- Parameters:
netuid (int) – The unique identifier of the subnetwork.
axon (bittensor.core.axon.Axon) – The Axon instance to be registered for serving.
wait_for_inclusion (bool) – Waits for the transaction to be included in a block. Default is
False
.wait_for_finalization (bool) – Waits for the transaction to be finalized on the blockchain. Default is
True
.certificate (bittensor.utils.Certificate) – Certificate to use for TLS. If
None
, no TLS will be used. Defaults toNone
.
- Returns:
True
if the Axon serve registration is successful, False otherwise.- Return type:
- By registering an Axon, the neuron becomes an active part of the network’s distributed computing infrastructure,
contributing to the collective intelligence of Bittensor.
- Registers an
- set_commitment#
- set_subnet_identity(wallet, netuid, subnet_identity, wait_for_inclusion=False, wait_for_finalization=True)#
Sets the identity of a subnet for a specific wallet and network.
- Parameters:
wallet (Wallet) – The wallet instance that will authorize the transaction.
netuid (int) – The unique ID of the network on which the operation takes place.
subnet_identity (SubnetIdentity) – The identity data of the subnet including attributes like name, GitHub repository, contact, URL, discord, description, and any additional metadata.
wait_for_inclusion (bool) – Indicates if the function should wait for the transaction to be included in the block.
wait_for_finalization (bool) – Indicates if the function should wait for the transaction to reach finalization.
- Returns:
- A tuple where the first element is a boolean indicating success or failure of the
operation, and the second element is a message providing additional information.
- Return type:
- set_weights(wallet, netuid, uids, weights, version_key=version_as_int, wait_for_inclusion=False, wait_for_finalization=False, max_retries=5)#
- Sets the inter-neuronal weights for the specified neuron. This process involves specifying the influence or
trust a neuron places on other neurons in the network, which is a fundamental aspect of Bittensor’s decentralized learning architecture.
- Parameters:
wallet (bittensor_wallet.Wallet) – The wallet associated with the neuron setting the weights.
netuid (int) – The unique identifier of the subnet.
uids (Union[NDArray[np.int64], torch.LongTensor, list]) – The list of neuron UIDs that the weights are being set for.
weights (Union[NDArray[np.float32], torch.FloatTensor, list]) – The corresponding weights to be set for each UID.
version_key (int) – Version key for compatibility with the network. Default is int representation of Bittensor version.
wait_for_inclusion (bool) – Waits for the transaction to be included in a block. Default is
False
.wait_for_finalization (bool) – Waits for the transaction to be finalized on the blockchain. Default is
False
.max_retries (int) – The number of maximum attempts to set weights. Default is
5
.
- Returns:
True
if the setting of weights is successful, False otherwise. And msg, a stringvalue describing the success or potential error.
- Return type:
- This function is crucial in shaping the network’s collective intelligence, where each neuron’s learning and
contribution are influenced by the weights it sets towards others【81†source】.
- sign_and_send_extrinsic(call, wallet, wait_for_inclusion=True, wait_for_finalization=False, sign_with='coldkey')#
Helper method to sign and submit an extrinsic call to chain.
- Parameters:
call (scalecodec.types.GenericCall) – a prepared Call object
wallet (bittensor_wallet.Wallet) – the wallet whose coldkey will be used to sign the extrinsic
wait_for_inclusion (bool) – whether to wait until the extrinsic call is included on the chain
wait_for_finalization (bool) – whether to wait until the extrinsic call is finalized on the chain
sign_with (str) – the wallet’s keypair to use for the signing. Options are “coldkey”, “hotkey”, “coldkeypub”
- Returns:
(success, error message)
- Return type:
- state_call(method, data, block=None)#
- Makes a state call to the Bittensor blockchain, allowing for direct queries of the blockchain’s state. This
function is typically used for advanced queries that require specific method calls and data inputs.
- Parameters:
- Returns:
The result of the rpc call.
- Return type:
result (dict[Any, Any])
- The state call function provides a more direct and flexible way of querying blockchain data, useful for specific
use cases where standard queries are insufficient.
- subnet(netuid, block=None)#
Retrieves the subnet information for a single subnet in the network.
- Parameters:
- Returns:
A DynamicInfo object, containing detailed information about a subnet.
- Return type:
Optional[DynamicInfo]
- subnet_exists(netuid, block=None)#
Checks if a subnet with the specified unique identifier (netuid) exists within the Bittensor network.
- Parameters:
- Returns:
True if the subnet exists, False otherwise.
- Return type:
This function is critical for verifying the presence of specific subnets in the network, enabling a deeper understanding of the network’s structure and composition.
- subnetwork_n(netuid, block=None)#
Returns network SubnetworkN hyperparameter.
- substrate#
- swap_stake(wallet, hotkey_ss58, origin_netuid, destination_netuid, amount, wait_for_inclusion=True, wait_for_finalization=False)#
Moves stake between subnets while keeping the same coldkey-hotkey pair ownership. Like subnet hopping - same owner, same hotkey, just changing which subnet the stake is in.
- Parameters:
wallet (bittensor.wallet) – The wallet to swap stake from.
hotkey_ss58 (str) – The SS58 address of the hotkey whose stake is being swapped.
origin_netuid (int) – The netuid from which stake is removed.
destination_netuid (int) – The netuid to which stake is added.
wait_for_inclusion (bool) – Waits for the transaction to be included in a block.
wait_for_finalization (bool) – Waits for the transaction to be finalized on the blockchain.
- Returns:
True if the extrinsic was successful.
- Return type:
success (bool)
- tempo(netuid, block=None)#
Returns network Tempo hyperparameter.
- transfer(wallet, dest, amount, wait_for_inclusion=True, wait_for_finalization=False, transfer_all=False, keep_alive=True)#
Transfer token of amount to destination.
- Parameters:
wallet (bittensor_wallet.Wallet) – Source wallet for the transfer.
dest (str) – Destination address for the transfer.
amount (float) – Amount of tokens to transfer.
transfer_all (bool) – Flag to transfer all tokens. Default is
False
.wait_for_inclusion (bool) – Waits for the transaction to be included in a block. Default is
True
.wait_for_finalization (bool) – Waits for the transaction to be finalized on the blockchain. Default is
False
.keep_alive (bool) – Flag to keep the connection alive. Default is
True
.
- Returns:
True if the transferring was successful, otherwise False.
- Return type:
- transfer_stake(wallet, destination_coldkey_ss58, hotkey_ss58, origin_netuid, destination_netuid, amount, wait_for_inclusion=True, wait_for_finalization=False)#
Transfers stake from one subnet to another while changing the coldkey owner.
- Parameters:
wallet (bittensor.wallet) – The wallet to transfer stake from.
destination_coldkey_ss58 (str) – The destination coldkey SS58 address.
hotkey_ss58 (str) – The hotkey SS58 address associated with the stake.
origin_netuid (int) – The source subnet UID.
destination_netuid (int) – The destination subnet UID.
wait_for_inclusion (bool) – If true, waits for inclusion before returning.
wait_for_finalization (bool) – If true, waits for finalization before returning.
- Returns:
True if the transfer was successful.
- Return type:
success (bool)
- tx_rate_limit(block=None)#
Retrieves the transaction rate limit for the Bittensor network as of a specific blockchain block. This rate limit sets the maximum number of transactions that can be processed within a given time frame.
- Parameters:
block (Optional[int]) – The blockchain block number for the query.
- Returns:
The transaction rate limit of the network, None if not available.
- Return type:
Optional[int]
- The transaction rate limit is an essential parameter for ensuring the stability and scalability of the Bittensor
network. It helps in managing network load and preventing congestion, thereby maintaining efficient and timely transaction processing.
- unstake(wallet, hotkey_ss58=None, netuid=None, amount=None, wait_for_inclusion=True, wait_for_finalization=False)#
- Removes a specified amount of stake from a single hotkey account. This function is critical for adjusting
individual neuron stakes within the Bittensor network.
- Parameters:
wallet (bittensor_wallet.wallet) – The wallet associated with the neuron from which the stake is being removed.
hotkey_ss58 (Optional[str]) – The
SS58
address of the hotkey account to unstake from.netuid (Optional[int]) – The unique identifier of the subnet.
amount (Balance) – The amount of TAO to unstake. If not specified, unstakes all.
wait_for_inclusion (bool) – Waits for the transaction to be included in a block.
wait_for_finalization (bool) – Waits for the transaction to be finalized on the blockchain.
- Returns:
True
if the unstaking process is successful, False otherwise.- Return type:
- This function supports flexible stake management, allowing neurons to adjust their network participation and
potential reward accruals.
- unstake_multiple(wallet, hotkey_ss58s, netuids, amounts=None, wait_for_inclusion=True, wait_for_finalization=False)#
- Performs batch unstaking from multiple hotkey accounts, allowing a neuron to reduce its staked amounts
efficiently. This function is useful for managing the distribution of stakes across multiple neurons.
- Parameters:
wallet (bittensor_wallet.Wallet) – The wallet linked to the coldkey from which the stakes are being withdrawn.
hotkey_ss58s (List[str]) – A list of hotkey
SS58
addresses to unstake from.netuids (List[int]) – The list of subnet uids.
amounts (List[Balance]) – The amounts of TAO to unstake from each hotkey. If not provided, unstakes all available stakes.
wait_for_inclusion (bool) – Waits for the transaction to be included in a block.
wait_for_finalization (bool) – Waits for the transaction to be finalized on the blockchain.
- Returns:
True
if the batch unstaking is successful, False otherwise.- Return type:
- This function allows for strategic reallocation or withdrawal of stakes, aligning with the dynamic stake
management aspect of the Bittensor network.
- wait_for_block(block=None)#
Waits until a specific block is reached on the chain. If no block is specified, waits for the next block.
- Parameters:
block (Optional[int]) – The block number to wait for. If None, waits for next block.
- Returns:
True if the target block was reached, False if timeout occurred.
- Return type:
Example
>>> subtensor.wait_for_block() # Waits for next block >>> subtensor.wait_for_block(block=1234) # Waits for specific block
- weights(netuid, block=None)#
Retrieves the weight distribution set by neurons within a specific subnet of the Bittensor network. This function maps each neuron’s UID to the weights it assigns to other neurons, reflecting the network’s trust
and value assignment mechanisms.
- Parameters:
- Returns:
A list of tuples mapping each neuron’s UID to its assigned weights.
- Return type:
- The weight distribution is a key factor in the network’s consensus algorithm and the ranking of neurons,
influencing their influence and reward allocation within the subnet.
- weights_rate_limit(netuid, block=None)#
Returns network WeightsSetRateLimit hyperparameter.