From de76a3ad394531e22aafbc6d75f7923d5b7b57d0 Mon Sep 17 00:00:00 2001
From: Aksh Parekh <parekh.aksh.c@gmail.com>
Date: Tue, 21 Oct 2025 19:16:56 -0700
Subject: [PATCH] Update test_majority_voting_streaming.py

---
 .../structs/test_majority_voting_streaming.py | 56 -------------------
 1 file changed, 56 deletions(-)

diff --git a/tests/structs/test_majority_voting_streaming.py b/tests/structs/test_majority_voting_streaming.py
index 2872d75c..8b137891 100644
--- a/tests/structs/test_majority_voting_streaming.py
+++ b/tests/structs/test_majority_voting_streaming.py
@@ -1,57 +1 @@
-from swarms import Agent
-from swarms.prompts.finance_agent_sys_prompt import (
-    FINANCIAL_AGENT_SYS_PROMPT,
-)
-from swarms.structs.majority_voting import MajorityVoting
-from dotenv import load_dotenv
-
-def streaming_callback(agent_name: str, chunk: str, is_final: bool):
-    # Chunk buffer static per call (reset each session)
-    if not hasattr(streaming_callback, "_buffer"):
-        streaming_callback._buffer = ""
-        streaming_callback._buffer_size = 0
-
-    min_chunk_size = 512  # or any large chunk size you want
-
-    if chunk:
-        streaming_callback._buffer += chunk
-        streaming_callback._buffer_size += len(chunk)
-    if streaming_callback._buffer_size >= min_chunk_size or is_final:
-        if streaming_callback._buffer:
-            print(streaming_callback._buffer, end="", flush=True)
-            streaming_callback._buffer = ""
-            streaming_callback._buffer_size = 0
-    if is_final:
-        print()
-
-load_dotenv()
-
-
-# Initialize the agent
-agent = Agent(
-    agent_name="Financial-Analysis-Agent",
-    agent_description="Personal finance advisor agent",
-    system_prompt=FINANCIAL_AGENT_SYS_PROMPT,
-    max_loops=1,
-    model_name="gpt-4.1",
-    dynamic_temperature_enabled=True,
-    user_name="swarms_corp",
-    retry_attempts=3,
-    context_length=8192,
-    return_step_meta=False,
-    output_type="str",  # "json", "dict", "csv" OR "string" "yaml" and
-    auto_generate_prompt=False,  # Auto generate prompt for the agent based on name, description, and system prompt, task
-    max_tokens=4000,  # max output tokens
-    saved_state_path="agent_00.json",
-    interactive=False,
-    streaming_on=True,  #if concurrent agents want to be streamed
-)
-
-swarm = MajorityVoting(agents=[agent, agent, agent])
-
-swarm.run(
-    "Create a table of super high growth opportunities for AI. I have $40k to invest in ETFs, index funds, and more. Please create a table in markdown.",
-    streaming_callback=streaming_callback,
-
-)