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bittensor/core/async_subtensor.py

Lines changed: 19 additions & 19 deletions
Original file line numberDiff line numberDiff line change
@@ -461,14 +461,14 @@ def _get_substrate(
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the configuration parameters.
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Arguments:
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fallback_endpoints: List of fallback endpoints to use if default or provided network is not available.
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fallback_endpoints: List of fallback endpoints to use if default or provided network is not available.
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Defaults to `None`.
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retry_forever: Whether to retry forever on connection errors. Defaults to `False`.
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_mock: Whether this is a mock instance. Mainly for testing purposes. Defaults to `False`.
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archive_endpoints: Similar to fallback_endpoints, but specifically only archive nodes. Will be used in
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cases where you are requesting a block that is too old for your current (presumably lite) node. Defaults
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archive_endpoints: Similar to fallback_endpoints, but specifically only archive nodes. Will be used in
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cases where you are requesting a block that is too old for your current (presumably lite) node. Defaults
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to `None`.
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ws_shutdown_timer: Amount of time, in seconds, to wait after the last response from the chain to close
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ws_shutdown_timer: Amount of time, in seconds, to wait after the last response from the chain to close
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the connection.
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Returns:
@@ -509,17 +509,17 @@ async def query_constant(
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) -> Optional["ScaleObj"]:
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"""Retrieves a constant from the specified module on the Bittensor blockchain.
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This function is used to access fixed values defined within the blockchain's modules, which are essential for
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This function is used to access fixed values defined within the blockchain's modules, which are essential for
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understanding the network's configuration and rules. These include include critical network parameters such as
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inflation rates, consensus rules, or validation thresholds, providing a deeper understanding of the Bittensor
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network's operational parameters.
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Arguments:
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module_name: The name of the module containing the constant (e.g., "Balances", "SubtensorModule").
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constant_name: The name of the constant to retrieve (e.g., "ExistentialDeposit").
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block: The blockchain block number at which to query the constant. Do not specify if using block_hash or
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block: The blockchain block number at which to query the constant. Do not specify if using block_hash or
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reuse_block.
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block_hash: The hash of the blockchain block at which to query the constant. Do not specify if using
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block_hash: The hash of the blockchain block at which to query the constant. Do not specify if using
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block or reuse_block.
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reuse_block: Whether to reuse the blockchain block at which to query the constant. Defaults to `False`.
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@@ -566,9 +566,9 @@ async def query_map(
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module: The name of the module from which to query the map storage (e.g., "SubtensorModule", "System").
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name: The specific storage function within the module to query (e.g., "Bonds", "Weights").
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block: The blockchain block number at which to perform the query. Defaults to `None` (latest block).
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block_hash: The hash of the block to retrieve the parameter from. Do not specify if using block or
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block_hash: The hash of the block to retrieve the parameter from. Do not specify if using block or
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reuse_block.
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reuse_block: Whether to use the last-used block. Do not set if using block_hash or block. Defaults to
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reuse_block: Whether to use the last-used block. Do not set if using block_hash or block. Defaults to
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`False`.
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params: Parameters to be passed to the query. Defaults to `None`.
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@@ -600,22 +600,22 @@ async def query_map_subtensor(
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reuse_block: bool = False,
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params: Optional[list] = None,
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) -> "AsyncQueryMapResult":
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"""Queries map storage from the Subtensor module on the Bittensor blockchain. This function is designed to
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"""Queries map storage from the Subtensor module on the Bittensor blockchain. This function is designed to
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retrieve a map-like data structure, which can include various neuron-specific details or network-wide
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attributes.
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Arguments:
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name: The name of the map storage function to query.
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block: The blockchain block number at which to perform the query.
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block_hash: The hash of the block to retrieve the parameter from. Do not specify if using block or
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block_hash: The hash of the block to retrieve the parameter from. Do not specify if using block or
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reuse_block.
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reuse_block: Whether to use the last-used block. Do not set if using block_hash or block.
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params: A list of parameters to pass to the query function.
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Returns:
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An object containing the map-like data structure, or `None` if not found.
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This function is particularly useful for analyzing and understanding complex network structures and
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This function is particularly useful for analyzing and understanding complex network structures and
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relationships within the Bittensor ecosystem, such as interneuronal connections and stake distributions.
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"""
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block_hash = await self.determine_block_hash(block, block_hash, reuse_block)
@@ -876,7 +876,7 @@ async def bonds(
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) -> list[tuple[int, list[tuple[int, int]]]]:
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"""Retrieves the bond distribution set by subnet validators within a specific subnet.
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Bonds represent the "investment" a subnet validator has made in evaluating a specific subnet miner. This
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Bonds represent the "investment" a subnet validator has made in evaluating a specific subnet miner. This
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bonding mechanism is integral to the Yuma Consensus' design intent of incentivizing high-quality performance
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by subnet miners, and honest evaluation by subnet validators.
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@@ -924,7 +924,7 @@ async def commit(
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wallet: The wallet associated with the neuron committing the data.
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netuid: The unique identifier of the subnet.
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data: The data to be committed to the network.
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period: The number of blocks during which the transaction will remain valid after it's submitted. If the
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period: The number of blocks during which the transaction will remain valid after it's submitted. If the
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transaction is not included in a block within that number of blocks, it will expire and be rejected. You
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can think of it as an expiration date for the transaction.
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@@ -961,7 +961,7 @@ async def commit_reveal_enabled(
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"""Check if commit-reveal mechanism is enabled for a given subnet at a specific block.
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The commit reveal feature is designed to solve the weight-copying problem by giving would-be weight-copiers
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access only to stale weights. Copying stale weights should result in subnet validators departing from
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access only to stale weights. Copying stale weights should result in subnet validators departing from
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consensus.
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Arguments:
@@ -1002,13 +1002,13 @@ async def difficulty(
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This parameter determines the computational challenge required for neurons to participate in consensus and
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validation processes. The difficulty directly impacts the network's security and integrity by setting the
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computational effort required for validating transactions and participating in the network's consensus
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computational effort required for validating transactions and participating in the network's consensus
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mechanism.
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Arguments:
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netuid: The unique identifier of the subnet.
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block: The block number for the query. Do not specify if using block_hash or reuse_block.
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block_hash: The hash of the block to retrieve the parameter from. Do not specify if using block or
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block_hash: The hash of the block to retrieve the parameter from. Do not specify if using block or
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reuse_block.
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reuse_block: Whether to use the last-used block. Do not set if using block_hash or block.
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@@ -1217,7 +1217,7 @@ async def get_balances(
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async def get_current_block(self) -> int:
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"""Returns the current block number on the Bittensor blockchain.
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This function provides the latest block number, indicating the most recent state of the blockchain. Knowing
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This function provides the latest block number, indicating the most recent state of the blockchain. Knowing
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the current block number is essential for querying real-time data and performing time-sensitive operations on
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the blockchain. It serves as a reference point for network activities and data synchronization.
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@@ -4944,7 +4944,7 @@ async def set_weights(
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based on their performance evaluation.
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This method allows subnet validators to submit their weight vectors, which rank the value of each subnet
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miner's work. These weight vectors are used by the Yuma Consensus algorithm to compute emissions for both
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miner's work. These weight vectors are used by the Yuma Consensus algorithm to compute emissions for both
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validators and miners.
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Arguments:

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