05f03b541a
* hf offline decorator for tests to workaround rate limits * fail quicker so we can see logs * try new cache name * limit files downloaded * phi mini predownload * offline decorator for phi tokenizer * handle meta llama 8b offline too * make sure to return fixtures if they are wrapped too * more fixes * more things offline * more offline things * fix the env var * fix the model name * handle gemma also * force reload of modules to recheck offline status * prefetch mistral too * use reset_sessions so hub picks up offline mode * more fixes * rename so it doesn't seem like a context manager * fix backoff * switch out tinyshakespeare dataset since it runs a py script to fetch data and doesn't work offline * include additional dataset * more fixes * more fixes * replace tiny shakespeaere dataset * skip some tests for now * use more robust check using snapshot download to determine if a dataset name is on the hub * typo for skip reason * use local_files_only * more fixtures * remove local only * use tiny shakespeare as pretrain dataset and streaming can't be offline even if precached * make sure fixtures aren't offline improve the offline reset try bumping version of datasets reorder reloading and setting prime a new cache run the tests now with fresh cache try with a static cache * now run all the ci again with hopefully a correct cache * skip wonky tests for now * skip wonky tests for now * handle offline mode for model card creation
205 lines
11 KiB
Python
205 lines
11 KiB
Python
"""
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shared fixtures for prompt strategies tests
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"""
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import pytest
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from datasets import Dataset
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from transformers import AutoTokenizer
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from utils import enable_hf_offline
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from axolotl.prompt_strategies.jinja_template_analyzer import JinjaTemplateAnalyzer
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from axolotl.utils.chat_templates import _CHAT_TEMPLATES
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@pytest.fixture(name="assistant_dataset")
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def fixture_assistant_dataset():
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return Dataset.from_list(
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[
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{
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"messages": [
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{"role": "user", "content": "hello"},
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{"role": "assistant", "content": "hello"},
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{"role": "user", "content": "goodbye"},
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{"role": "assistant", "content": "goodbye"},
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]
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}
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]
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)
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@pytest.fixture(name="sharegpt_dataset")
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def fixture_sharegpt_dataset():
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# pylint: disable=duplicate-code
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return Dataset.from_list(
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[
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{
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"conversations": [
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{"from": "human", "value": "hello"},
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{"from": "gpt", "value": "hello"},
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{"from": "human", "value": "goodbye"},
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{"from": "gpt", "value": "goodbye"},
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]
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}
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]
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)
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@pytest.fixture(name="basic_dataset")
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def fixture_basic_dataset():
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# pylint: disable=duplicate-code
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return Dataset.from_list(
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[
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{
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"conversations": [
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{"from": "system", "value": "You are an AI assistant."},
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{"from": "human", "value": "Hello"},
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{"from": "assistant", "value": "Hi there!"},
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{"from": "human", "value": "How are you?"},
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{"from": "assistant", "value": "I'm doing well, thank you!"},
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]
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}
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]
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)
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@pytest.fixture(name="toolcalling_dataset")
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def fixture_toolcalling_dataset():
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# pylint: disable=duplicate-code
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return Dataset.from_list(
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[
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{
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"messages": [
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{
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"role": "system",
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"content": "You are a bot that responds to weather queries. You should reply with the unit used in the queried location.",
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},
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{
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"role": "user",
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"content": "Hey, what's the temperature in Paris right now?",
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},
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{
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"role": "assistant",
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"tool_calls": [
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{
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"type": "function",
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"function": {
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"name": "get_current_temperature",
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"arguments": {
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"location": "Paris, France",
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"unit": "celsius",
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},
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},
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}
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],
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},
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{
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"role": "tool",
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"name": "get_current_temperature",
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"content": "22.0",
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},
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{
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"role": "assistant",
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"content": "The temperature in Paris is 22.0 degrees Celsius.",
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},
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]
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}
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]
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)
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@pytest.fixture(name="llama3_tokenizer", scope="session", autouse=True)
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@enable_hf_offline
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def fixture_llama3_tokenizer():
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tokenizer = AutoTokenizer.from_pretrained("NousResearch/Meta-Llama-3-8B-Instruct")
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return tokenizer
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@pytest.fixture(name="smollm2_tokenizer", scope="session", autouse=True)
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@enable_hf_offline
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def fixture_smollm2_tokenizer():
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tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/SmolLM2-135M")
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return tokenizer
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@pytest.fixture(name="mistralv03_tokenizer", scope="session", autouse=True)
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def fixture_mistralv03_tokenizer():
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tokenizer = AutoTokenizer.from_pretrained(
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"mlx-community/Mistral-7B-Instruct-v0.3-4bit"
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)
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return tokenizer
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@pytest.fixture(name="phi35_tokenizer", scope="session", autouse=True)
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@enable_hf_offline
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def fixture_phi35_tokenizer():
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tokenizer = AutoTokenizer.from_pretrained("microsoft/Phi-3.5-mini-instruct")
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return tokenizer
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@pytest.fixture(name="gemma2_tokenizer", scope="session", autouse=True)
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def fixture_gemma2_tokenizer():
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tokenizer = AutoTokenizer.from_pretrained("mlx-community/gemma-2-9b-it-4bit")
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return tokenizer
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@pytest.fixture(name="mistralv03_tokenizer_chat_template_jinja")
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def fixture_mistralv03_chat_template_jinja_w_system() -> str:
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return '{%- if messages[0]["role"] == "system" %}\n {%- set system_message = messages[0]["content"] %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}\n\n{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}\n{%- set ns = namespace() %}\n{%- set ns.index = 0 %}\n{%- for message in loop_messages %}\n {%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}\n {%- if (message["role"] == "user") != (ns.index % 2 == 0) %}\n {{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}\n {%- endif %}\n {%- set ns.index = ns.index + 1 %}\n {%- endif %}\n{%- endfor %}\n\n{{- bos_token }}\n{%- for message in loop_messages %}\n {%- if message["role"] == "user" %}\n {%- if tools is not none and (message == user_messages[-1]) %}\n {{- "[AVAILABLE_TOOLS] [" }}\n {%- for tool in tools %}\n {%- set tool = tool.function %}\n {{- \'{"type": "function", "function": {\' }}\n {%- for key, val in tool.items() if key != "return" %}\n {%- if val is string %}\n {{- \'"\' + key + \'": "\' + val + \'"\' }}\n {%- else %}\n {{- \'"\' + key + \'": \' + val|tojson }}\n {%- endif %}\n {%- if not loop.last %}\n {{- ", " }}\n {%- endif %}\n {%- endfor %}\n {{- "}}" }}\n {%- if not loop.last %}\n {{- ", " }}\n {%- else %}\n {{- "]" }}\n {%- endif %}\n {%- endfor %}\n {{- "[/AVAILABLE_TOOLS]" }}\n {%- endif %}\n {%- if loop.first and system_message is defined %}\n {{- "[INST] " + system_message + "\\n\\n" + message["content"] + "[/INST]" }}\n {%- else %}\n {{- "[INST] " + message["content"] + "[/INST]" }}\n {%- endif %}\n {%- elif message.tool_calls is defined and message.tool_calls is not none %}\n {{- "[TOOL_CALLS] [" }}\n {%- for tool_call in message.tool_calls %}\n {%- set out = tool_call.function|tojson %}\n {{- out[:-1] }}\n {%- if not tool_call.id is defined or tool_call.id|length != 9 %}\n {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}\n {%- endif %}\n {{- \', "id": "\' + tool_call.id + \'"}\' }}\n {%- if not loop.last %}\n {{- ", " }}\n {%- else %}\n {{- "]" + eos_token }}\n {%- endif %}\n {%- endfor %}\n {%- elif message["role"] == "assistant" %}\n {{- " " + message["content"]|trim + eos_token}}\n {%- elif message["role"] == "tool_results" or message["role"] == "tool" %}\n {%- if message.content is defined and message.content.content is defined %}\n {%- set content = message.content.content %}\n {%- else %}\n {%- set content = message.content %}\n {%- endif %}\n {{- \'[TOOL_RESULTS] {"content": \' + content|string + ", " }}\n {%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}\n {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}\n {%- endif %}\n {{- \'"call_id": "\' + message.tool_call_id + \'"}[/TOOL_RESULTS]\' }}\n {%- else %}\n {{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}\n {%- endif %}\n{%- endfor %}\n'
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@pytest.fixture(name="gemma2_tokenizer_chat_template_jinja")
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def fixture_gemma2_chat_template_jinja_w_system() -> str:
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return "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}"
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@pytest.fixture(name="llama3_2_vision_chat_template_jinja")
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def fixture_llama3_2_vision_with_hardcoded_date() -> str:
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"""Hardcodes the date in the template to avoid the need for date logic in the prompt"""
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template = _CHAT_TEMPLATES["llama3_2_vision"]
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old_date_logic = """{%- if not date_string is defined %}
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{%- if strftime_now is defined %}
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{%- set date_string = strftime_now("%d %b %Y") %}
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{%- else %}
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{%- set date_string = "26 Jul 2024" %}
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{%- endif %}
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{%- endif %}"""
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new_date_logic = """{%- set date_string = "17 Dec 2024" %}"""
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modified_template = template.replace(old_date_logic, new_date_logic)
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return modified_template
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@pytest.fixture(name="chat_template_jinja_with_optional_fields")
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def fixture_chat_template_jinja_with_optional_fields() -> str:
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return """{% for message in messages %}
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{{'<|im_start|>'}}{{ message['role'] }}
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{% if message['thoughts'] is defined %}[Thoughts: {{ message['thoughts'] }}]{% endif %}
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{% if message['tool_calls'] is defined %}[Tool: {{ message['tool_calls'][0]['type'] }}]{% endif %}
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{{ message['content'] }}{{'<|im_end|>'}}
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{% endfor %}"""
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@pytest.fixture(name="basic_jinja_template_analyzer")
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def basic_jinja_template_analyzer():
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return JinjaTemplateAnalyzer(
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"""{% for message in messages %}{% if message['role'] == 'system' and message['content'] %}{{'<|system|>
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' + message['content'] + '<|end|>
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'}}{% elif message['role'] == 'user' %}{{'<|user|>
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' + message['content'] + '<|end|>
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'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>
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' + message['content'] + '<|end|>
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'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>
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' }}{% else %}{{ eos_token }}{% endif %}"""
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)
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@pytest.fixture(name="mistral_jinja_template_analyzer")
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def mistral_jinja_template_analyzer(mistralv03_tokenizer_chat_template_jinja):
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return JinjaTemplateAnalyzer(mistralv03_tokenizer_chat_template_jinja)
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