Merge branch 'staging' into fix/2188-configure_uvicorn_event_loop

Author: thewhaleking

bittensor/core/chain_data/metagraph_info.py

@@ -1,6 +1,7 @@
 from dataclasses import dataclass
 from typing import Optional, Union
 
+from bittensor.core import settings
 from bittensor.core.chain_data.axon_info import AxonInfo
 from bittensor.core.chain_data.chain_identity import ChainIdentity
 from bittensor.core.chain_data.info_base import InfoBase
@@ -234,7 +235,10 @@ def _from_dict(cls, decoded: dict) -> "MetagraphInfo":
             rank=[u16tf(rk) for rk in decoded.get("rank", [])],
             block_at_registration=decoded["block_at_registration"],
             alpha_stake=[_tbwu(ast, _netuid) for ast in decoded["alpha_stake"]],
-            tao_stake=[_tbwu(ts) for ts in decoded["tao_stake"]],
+            tao_stake=[
+                _tbwu(ts) * settings.ROOT_TAO_STAKE_WEIGHT
+                for ts in decoded["tao_stake"]
+            ],
             total_stake=[_tbwu(ts, _netuid) for ts in decoded["total_stake"]],
             # Dividend break down
             tao_dividends_per_hotkey=[

bittensor/core/metagraph.py

@@ -42,7 +42,6 @@
 
 
 Tensor = Union["torch.nn.Parameter", NDArray]
-ROOT_TAO_STAKES_WEIGHT = 0.18
 
 
 METAGRAPH_STATE_DICT_NDARRAY_KEYS = [
@@ -1598,7 +1597,10 @@ async def _get_all_stakes_from_chain(self):
                 dtype=self._dtype_registry["float32"],
             )
             self.tao_stake = self._create_tensor(
-                [b.tao * ROOT_TAO_STAKES_WEIGHT for b in subnet_state.tao_stake],
+                [
+                    b.tao * settings.ROOT_TAO_STAKE_WEIGHT
+                    for b in subnet_state.tao_stake
+                ],
                 dtype=self._dtype_registry["float32"],
             )
             self.total_stake = self.stake = self._create_tensor(
@@ -1902,7 +1904,10 @@ def _get_all_stakes_from_chain(self):
                 dtype=self._dtype_registry["float32"],
             )
             self.tao_stake = self._create_tensor(
-                [b.tao * ROOT_TAO_STAKES_WEIGHT for b in subnet_state.tao_stake],
+                [
+                    b.tao * settings.ROOT_TAO_STAKE_WEIGHT
+                    for b in subnet_state.tao_stake
+                ],
                 dtype=self._dtype_registry["float32"],
             )
             self.total_stake = self.stake = self._create_tensor(

bittensor/core/settings.py

@@ -6,6 +6,7 @@
 
 from munch import munchify
 
+ROOT_TAO_STAKE_WEIGHT = 0.18
 
 READ_ONLY = os.getenv("READ_ONLY") == "1"