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fixing tasks order
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@@ -1093,7 +1093,7 @@ def test_agent_training_handler(crew_training_handler):
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result = agent._training_handler(task_prompt=task_prompt)
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assert result == "What is 1 + 1?You MUST follow these feedbacks: \n good"
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assert result == "What is 1 + 1?\n\nYou MUST follow these instructions: \n good"
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crew_training_handler.assert_has_calls(
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[mock.call(), mock.call("training_data.pkl"), mock.call().load()]
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@@ -1121,8 +1121,8 @@ def test_agent_use_trained_data(crew_training_handler):
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result = agent._use_trained_data(task_prompt=task_prompt)
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assert (
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result == "What is 1 + 1?You MUST follow these feedbacks: \n "
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"The result of the math operation must be right.\n - Result must be better than 1."
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result == "What is 1 + 1?\n\nYou MUST follow these instructions: \n"
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" - The result of the math operation must be right.\n - Result must be better than 1."
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)
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crew_training_handler.assert_has_calls(
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[mock.call(), mock.call("trained_agents_data.pkl"), mock.call().load()]
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@@ -1205,7 +1205,7 @@ def test_agent_with_custom_stop_words():
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)
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assert isinstance(agent.llm, LLM)
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assert agent.llm.stop == stop_words
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assert agent.llm.stop == stop_words + ["\nObservation:"]
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def test_agent_with_callbacks():
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@@ -1368,7 +1368,7 @@ def test_agent_with_all_llm_attributes():
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assert agent.llm.temperature == 0.7
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assert agent.llm.top_p == 0.9
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assert agent.llm.n == 1
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assert agent.llm.stop == ["STOP", "END"]
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assert agent.llm.stop == ["STOP", "END", "\nObservation:"]
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assert agent.llm.max_tokens == 100
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assert agent.llm.presence_penalty == 0.1
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assert agent.llm.frequency_penalty == 0.1
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