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(test) remove unused tests

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ishaan-jaff 2023-11-18 17:25:42 -08:00
parent b5968a3ed8
commit 80002e9a14
1 changed files with 0 additions and 145 deletions
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145
litellm/tests/test_streaming.py
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@ -204,151 +204,6 @@ def test_completion_cohere_stream_bad_key():
# test_completion_cohere_stream_bad_key()
# def test_completion_nlp_cloud():
# try:
# messages = [
# {"role": "system", "content": "You are a helpful assistant."},
# {
# "role": "user",
# "content": "how does a court case get to the Supreme Court?",
# },
# ]
# response = completion(model="dolphin", messages=messages, stream=True)
# complete_response = ""
# # Add any assertions here to check the response
# has_finish_reason = False
# for idx, chunk in enumerate(response):
# chunk, finished = streaming_format_tests(idx, chunk)
# has_finish_reason = finished
# complete_response += chunk
# if finished:
# break
# if has_finish_reason is False:
# raise Exception("Finish reason not in final chunk")
# if complete_response.strip() == "":
# raise Exception("Empty response received")
# print(f"completion_response: {complete_response}")
# except Exception as e:
# pytest.fail(f"Error occurred: {e}")
# test_completion_nlp_cloud()
# def test_completion_nlp_cloud_bad_key():
# try:
# api_key = "bad-key"
# messages = [
# {"role": "system", "content": "You are a helpful assistant."},
# {
# "role": "user",
# "content": "how does a court case get to the Supreme Court?",
# },
# ]
# response = completion(model="dolphin", messages=messages, stream=True, api_key=api_key)
# complete_response = ""
# # Add any assertions here to check the response
# has_finish_reason = False
# for idx, chunk in enumerate(response):
# chunk, finished = streaming_format_tests(idx, chunk)
# has_finish_reason = finished
# complete_response += chunk
# if finished:
# break
# if has_finish_reason is False:
# raise Exception("Finish reason not in final chunk")
# if complete_response.strip() == "":
# raise Exception("Empty response received")
# print(f"completion_response: {complete_response}")
# except Exception as e:
# pytest.fail(f"Error occurred: {e}")
# test_completion_nlp_cloud_bad_key()
# def test_completion_hf_stream():
# try:
# litellm.set_verbose = True
# # messages = [
# # {
# # "content": "Hello! How are you today?",
# # "role": "user"
# # },
# # ]
# # response = completion(
# # model="huggingface/mistralai/Mistral-7B-Instruct-v0.1", messages=messages, api_base="https://n9ox93a8sv5ihsow.us-east-1.aws.endpoints.huggingface.cloud", stream=True, max_tokens=1000
# # )
# # complete_response = ""
# # # Add any assertions here to check the response
# # for idx, chunk in enumerate(response):
# # chunk, finished = streaming_format_tests(idx, chunk)
# # if finished:
# # break
# # complete_response += chunk
# # if complete_response.strip() == "":
# # raise Exception("Empty response received")
# # completion_response_1 = complete_response
# messages = [
# {
# "content": "Hello! How are you today?",
# "role": "user"
# },
# {
# "content": "I'm doing well, thank you for asking! I'm excited to be here and help you with any questions or concerns you may have. What can I assist you with today?",
# "role": "assistant"
# },
# {
# "content": "What is the price of crude oil?",
# "role": "user"
# },
# ]
# response = completion(
# model="huggingface/mistralai/Mistral-7B-Instruct-v0.1", messages=messages, api_base="https://n9ox93a8sv5ihsow.us-east-1.aws.endpoints.huggingface.cloud", stream=True, max_tokens=1000, n=1
# )
# complete_response = ""
# # Add any assertions here to check the response
# for idx, chunk in enumerate(response):
# chunk, finished = streaming_format_tests(idx, chunk)
# if finished:
# break
# complete_response += chunk
# if complete_response.strip() == "":
# raise Exception("Empty response received")
# # print(f"completion_response_1: {completion_response_1}")
# print(f"completion_response: {complete_response}")
# except InvalidRequestError as e:
# pass
# except Exception as e:
# pytest.fail(f"Error occurred: {e}")
# test_completion_hf_stream()
# def test_completion_hf_stream_bad_key():
# try:
# api_key = "bad-key"
# messages = [
# {
# "content": "Hello! How are you today?",
# "role": "user"
# },
# ]
# response = completion(
# model="huggingface/meta-llama/Llama-2-7b-chat-hf", messages=messages, api_base="https://a8l9e3ucxinyl3oj.us-east-1.aws.endpoints.huggingface.cloud", stream=True, max_tokens=1000, api_key=api_key
# )
# complete_response = ""
# # Add any assertions here to check the response
# for idx, chunk in enumerate(response):
# chunk, finished = streaming_format_tests(idx, chunk)
# if finished:
# break
# complete_response += chunk
# if complete_response.strip() == "":
# raise Exception("Empty response received")
# print(f"completion_response: {complete_response}")
# except InvalidRequestError as e:
# pass
# except Exception as e:
# pytest.fail(f"Error occurred: {e}")
# test_completion_hf_stream_bad_key()
def test_completion_azure_stream():
try:
litellm.set_verbose = True