From 13192d890c04e90af9aefee6e797aa3bc013b788 Mon Sep 17 00:00:00 2001
From: jarvis8x7b <157810922+jarvis8x7b@users.noreply.github.com>
Date: Sun, 25 Feb 2024 16:20:58 +0800
Subject: [PATCH] fix: prevent miner from setting weights

---
 neurons/validator.py   |  7 -------
 template/base/miner.py | 29 +----------------------------
 2 files changed, 1 insertion(+), 35 deletions(-)

diff --git a/neurons/validator.py b/neurons/validator.py
index e033ba8a..cfec93ea 100644
--- a/neurons/validator.py
+++ b/neurons/validator.py
@@ -35,12 +35,6 @@ def _filter_valid_responses(responses: List[RankingRequest]) -> List[RankingRequ
 
 
 class Validator(BaseNeuron):
-    """Singleton class for validator, this means that trying to instantiate the
-    same validator class will always return the same instance. This prevents
-    trying to maintain multiple metagraphs, subtensors, etc.
-
-    """
-
     def __init__(self):
         super(Validator, self).__init__()
 
@@ -48,7 +42,6 @@ def __init__(self):
             forward_fn=self.forward_mturk_response,
             blacklist_fn=self.blacklist_mturk_response,
         )
-        self.axon.serve(netuid=self.config.netuid, subtensor=self.subtensor)
 
         ##### FROM BaseValidatorNeuron ########################################
         # Save a copy of the hotkeys to local memory.
diff --git a/template/base/miner.py b/template/base/miner.py
index 46bdd80d..29fbbad7 100644
--- a/template/base/miner.py
+++ b/template/base/miner.py
@@ -148,34 +148,7 @@ def __exit__(self, exc_type, exc_value, traceback):
         self.stop_run_thread()
 
     def set_weights(self):
-        """
-        Self-assigns a weight of 1 to the current miner (identified by its UID) and
-        a weight of 0 to all other peers in the network. The weights determine the trust level the miner assigns to other nodes on the network.
-
-        Raises:
-            Exception: If there's an error while setting weights, the exception is logged for diagnosis.
-        """
-        try:
-            # --- query the chain for the most current number of peers on the network
-            chain_weights = torch.zeros(
-                self.subtensor.subnetwork_n(netuid=self.metagraph.netuid)
-            )
-            chain_weights[self.uid] = 1
-
-            # --- Set weights.
-            self.subtensor.set_weights(
-                wallet=self.wallet,
-                netuid=self.metagraph.netuid,
-                uids=torch.arange(0, len(chain_weights)),
-                weights=chain_weights.to("cpu"),
-                wait_for_inclusion=False,
-                version_key=self.spec_version,
-            )
-
-        except Exception as e:
-            bt.logging.error(f"Failed to set weights on chain with exception: { e }")
-
-        bt.logging.info(f"Set weights: {chain_weights}")
+        pass
 
     def resync_metagraph(self):
         """Resyncs the metagraph and updates the hotkeys and moving averages based on the new metagraph."""