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#!/usr/bin/env python3
"""
Advanced Test Suite for Rax 4.0 Chat - Enterprise Edition
Developed by RaxCore Technologies
"""
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
import time
import json
class RaxTester:
def __init__(self, model_path="."):
"""Initialize Rax 4.0 Chat model for testing"""
print("🚀 Initializing Rax 4.0 Chat - Enterprise Edition")
print("=" * 60)
self.model_path = model_path
self.load_model()
def load_model(self):
"""Load Rax 4.0 model and tokenizer"""
print("📦 Loading Rax 4.0 Chat model...")
start_time = time.time()
try:
self.tokenizer = AutoTokenizer.from_pretrained(self.model_path)
self.model = AutoModelForCausalLM.from_pretrained(
self.model_path,
torch_dtype=torch.bfloat16,
device_map="auto",
trust_remote_code=True
)
load_time = time.time() - start_time
print(f"✅ Model loaded successfully in {load_time:.2f} seconds")
print(f"🧠 Model: {self.model.config._name_or_path}")
print(f"🔢 Parameters: ~{self.model.num_parameters() / 1e9:.1f}B")
print(f"💾 Device: {next(self.model.parameters()).device}")
except Exception as e:
print(f"❌ Error loading model: {e}")
raise
def generate_response(self, messages, max_tokens=512, temperature=0.7):
"""Generate response using Rax 4.0"""
try:
# Apply chat template
input_text = self.tokenizer.apply_chat_template(
messages,
tokenize=False,
add_generation_prompt=True
)
inputs = self.tokenizer(input_text, return_tensors="pt")
# Move inputs to model device
inputs = {k: v.to(next(self.model.parameters()).device) for k, v in inputs.items()}
# Generate with timing
start_time = time.time()
with torch.no_grad():
outputs = self.model.generate(
**inputs,
max_new_tokens=max_tokens,
temperature=temperature,
do_sample=True,
top_p=0.9,
repetition_penalty=1.1,
pad_token_id=self.tokenizer.eos_token_id
)
generation_time = time.time() - start_time
# Decode response
response = self.tokenizer.decode(
outputs[0][inputs['input_ids'].shape[1]:],
skip_special_tokens=True
)
# Calculate tokens per second
tokens_generated = len(outputs[0]) - len(inputs['input_ids'][0])
tokens_per_second = tokens_generated / generation_time if generation_time > 0 else 0
return {
'response': response,
'generation_time': generation_time,
'tokens_generated': tokens_generated,
'tokens_per_second': tokens_per_second
}
except Exception as e:
print(f"❌ Error generating response: {e}")
return None
def test_basic_conversation(self):
"""Test basic conversational capabilities"""
print("\n🗣️ Testing Basic Conversation")
print("-" * 40)
messages = [
{"role": "system", "content": "You are Rax 4.0, the most advanced AI assistant created by RaxCore. You excel at complex reasoning, coding, and multilingual communication."},
{"role": "user", "content": "Hello! Can you tell me about yourself and what makes you special?"}
]
result = self.generate_response(messages, max_tokens=256)
if result:
print(f"👤 User: {messages[1]['content']}")
print(f"🤖 Rax 4.0: {result['response']}")
print(f"⚡ Generation: {result['generation_time']:.2f}s ({result['tokens_per_second']:.1f} tokens/s)")
return True
return False
def test_coding_capabilities(self):
"""Test advanced coding capabilities"""
print("\n💻 Testing Coding Capabilities")
print("-" * 40)
messages = [
{"role": "system", "content": "You are Rax 4.0, an expert programming assistant created by RaxCore."},
{"role": "user", "content": "Write a Python function to implement a binary search algorithm with detailed comments."}
]
result = self.generate_response(messages, max_tokens=512)
if result:
print(f"👤 User: {messages[1]['content']}")
print(f"🤖 Rax 4.0: {result['response']}")
print(f"⚡ Generation: {result['generation_time']:.2f}s ({result['tokens_per_second']:.1f} tokens/s)")
return True
return False
def test_reasoning_capabilities(self):
"""Test advanced reasoning and problem-solving"""
print("\n🧠 Testing Reasoning Capabilities")
print("-" * 40)
messages = [
{"role": "system", "content": "You are Rax 4.0, an advanced AI with superior reasoning capabilities created by RaxCore."},
{"role": "user", "content": "Explain the concept of quantum entanglement and its potential applications in quantum computing. Then solve this logic puzzle: If all roses are flowers, and some flowers fade quickly, can we conclude that some roses fade quickly?"}
]
result = self.generate_response(messages, max_tokens=768)
if result:
print(f"👤 User: {messages[1]['content']}")
print(f"🤖 Rax 4.0: {result['response']}")
print(f"⚡ Generation: {result['generation_time']:.2f}s ({result['tokens_per_second']:.1f} tokens/s)")
return True
return False
def test_multilingual_capabilities(self):
"""Test multilingual communication"""
print("\n🌍 Testing Multilingual Capabilities")
print("-" * 40)
messages = [
{"role": "system", "content": "You are Rax 4.0, a multilingual AI assistant created by RaxCore with native-level proficiency in multiple languages."},
{"role": "user", "content": "Please respond in French: Explain the importance of artificial intelligence in modern business, then translate your response to Spanish."}
]
result = self.generate_response(messages, max_tokens=512)
if result:
print(f"👤 User: {messages[1]['content']}")
print(f"🤖 Rax 4.0: {result['response']}")
print(f"⚡ Generation: {result['generation_time']:.2f}s ({result['tokens_per_second']:.1f} tokens/s)")
return True
return False
def test_enterprise_scenario(self):
"""Test enterprise-grade business scenario"""
print("\n🏢 Testing Enterprise Scenario")
print("-" * 40)
messages = [
{"role": "system", "content": "You are Rax 4.0, an enterprise-grade AI assistant created by RaxCore for business applications."},
{"role": "user", "content": "I'm the CEO of a fintech startup. Analyze the current AI market trends, identify 3 key opportunities for our company, and create a brief strategic plan with implementation timeline."}
]
result = self.generate_response(messages, max_tokens=1024)
if result:
print(f"👤 User: {messages[1]['content']}")
print(f"🤖 Rax 4.0: {result['response']}")
print(f"⚡ Generation: {result['generation_time']:.2f}s ({result['tokens_per_second']:.1f} tokens/s)")
return True
return False
def run_comprehensive_test(self):
"""Run comprehensive test suite"""
print("🧪 Starting Comprehensive Rax 4.0 Test Suite")
print("=" * 60)
tests = [
("Basic Conversation", self.test_basic_conversation),
("Coding Capabilities", self.test_coding_capabilities),
("Reasoning Capabilities", self.test_reasoning_capabilities),
("Multilingual Capabilities", self.test_multilingual_capabilities),
("Enterprise Scenario", self.test_enterprise_scenario)
]
results = []
total_time = 0
for test_name, test_func in tests:
print(f"\n🔍 Running: {test_name}")
start_time = time.time()
try:
success = test_func()
test_time = time.time() - start_time
total_time += test_time
results.append({
'test': test_name,
'success': success,
'time': test_time
})
status = "✅ PASSED" if success else "❌ FAILED"
print(f"Status: {status} ({test_time:.2f}s)")
except Exception as e:
test_time = time.time() - start_time
total_time += test_time
results.append({
'test': test_name,
'success': False,
'time': test_time,
'error': str(e)
})
print(f"Status: ❌ FAILED - {e} ({test_time:.2f}s)")
# Print summary
print("\n" + "=" * 60)
print("📊 TEST SUMMARY")
print("=" * 60)
passed = sum(1 for r in results if r['success'])
total = len(results)
print(f"Tests Passed: {passed}/{total}")
print(f"Success Rate: {(passed/total)*100:.1f}%")
print(f"Total Time: {total_time:.2f}s")
print(f"Average Time per Test: {total_time/total:.2f}s")
print("\n📋 Detailed Results:")
for result in results:
status = "✅" if result['success'] else "❌"
print(f"{status} {result['test']}: {result['time']:.2f}s")
if 'error' in result:
print(f" Error: {result['error']}")
print("\n🎉 Rax 4.0 Chat testing completed!")
print("🌟 Developed by RaxCore - Premier AI Innovation Company")
return results
def main():
"""Main test execution"""
try:
# Initialize tester
tester = RaxTester()
# Run comprehensive tests
results = tester.run_comprehensive_test()
# Save results
with open('test_results.json', 'w') as f:
json.dump(results, f, indent=2)
print(f"\n💾 Test results saved to: test_results.json")
except Exception as e:
print(f"❌ Test execution failed: {e}")
return False
return True
if __name__ == "__main__":
main()
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