python package restructuring
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@@ -1 +0,0 @@
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# empty
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@@ -1,32 +1,20 @@
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import pytest
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import tests.helper as helper
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from tests import helper
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inference = None
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InferenceClass = None
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Tensor = None
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def prepare():
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if InferenceClass == None:
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test_import_inference_module_librarys()
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if inference == None:
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test_instantiate_inference_instance()
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def test_import_inference_module_librarys():
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import inference
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import torch
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global InferenceClass
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global Tensor
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InferenceClass = inference.Inference
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Tensor = torch.Tensor
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def test_instantiate_inference_instance():
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if InferenceClass == None:
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test_import_inference_module_librarys()
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global inference
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inference = InferenceClass()
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global Tensor
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if inference == None:
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from torch import Tensor as _Tensor
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from chatbug.inference import Inference
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from chatbug.model_selection import get_model
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inference = Inference(get_model())
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Tensor = _Tensor
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def test_tool_header_generation():
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@@ -1,6 +1,6 @@
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import pytest
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import tool_helper
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import tests.helper as helper
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import chatbug.tool_helper as tool_helper
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from tests import helper
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@@ -1,6 +1,6 @@
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import pytest
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import tool_functions
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import chatbug.tool_functions as tool_functions
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from tests import helper
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def test_math_evaluate_1():
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@@ -28,6 +28,13 @@ def test_math_evaluate_5():
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result = tool_functions.math_evaluate("sin(pi/2) + cos(0)")
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assert result == "sin(pi/2) + cos(0) = 2"
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def test_math_evaluate_solve_a():
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result = tool_functions.math_evaluate("solve 240=x*r+x*r^2+x*r^3+s and r=1.618 and s=5 for x, r, s")
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assert result == "Solved equation system 240 = r**3*x + r**2*x + r*x + s, r = 1.61800000000000 and s = 5 for x=27.7393327937747=~27.739, r=1.61800000000000=~1.618 and s=5.00000000000000=~5.000."
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def test_math_evaluate_solve_b():
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result = tool_functions.math_evaluate("solve 250=x+x*r+s and r=1.618 and s=0 for x, r, s")
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assert result == "Solved equation system 250 = r*x + s + x, r = 1.61800000000000 and s = 0 for x=95.4927425515661=~95.493, r=1.61800000000000=~1.618 and s=0."
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@@ -54,4 +61,3 @@ def test_math_solver_3b():
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def test_math_solver_4():
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result = tool_functions.math_evaluate("solve 2*x**3 + 3*y = 7 and x - y = 1 for x, y")
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assert result == "Solved equation system 2*x**3 + 3*y = 7 and x - y = 1 for x=~1.421 and y=~0.421."
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@@ -1,7 +1,8 @@
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import pytest
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import tool_helper
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from chatbug import tool_helper
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from unittest import mock
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import tests.helper as helper
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from tests import helper
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import re
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@@ -40,34 +41,34 @@ def test_match_and_extract_matching3_with_newline():
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def test_string_malformed_faulty():
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with mock.patch("utils.print_error") as print_error_mock:
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with mock.patch("chatbug.utils.print_error") as print_error_mock:
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result = tool_helper._execute_tool_call_str("{json_content}", [])
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assert result == None
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print_error_mock.assert_called_once() # this will check if the mocked function on the context was called.
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def test_tool_call_json_1():
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with mock.patch("utils.print_error") as print_error_mock:
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with mock.patch("chatbug.utils.print_error") as print_error_mock:
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result = tool_helper._execute_tool_call_json({"name": "tool_dummy", "arguments": {"a": 1, "b": "zwei"}}, [helper.tool_dummy, helper.tool_dummy2])
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assert result == "result_1_zwei"
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assert print_error_mock.call_count == 0
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def test_tool_call_json_2():
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with mock.patch("utils.print_error") as print_error_mock:
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with mock.patch("chatbug.utils.print_error") as print_error_mock:
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result = tool_helper._execute_tool_call_json({"name": "tool_dummy2", "arguments": {"text": "some_text"}}, [helper.tool_dummy, helper.tool_dummy2])
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assert result == "SOME_TEXT"
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assert print_error_mock.call_count == 0
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def test_tool_call_json_non_existing_call_check():
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with mock.patch("utils.print_error") as print_error_mock:
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with mock.patch("chatbug.utils.print_error") as print_error_mock:
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result = tool_helper._execute_tool_call_json({"name": "tool_dummy_which_is_not_existing", "arguments": {"text": "some_text"}}, [helper.tool_dummy, helper.tool_dummy2])
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assert result == None
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assert print_error_mock.call_count == 1 # this will check if the mocked function on the context was called.
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def test_tool_call_json_wrong_arguments_check():
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with mock.patch("utils.print_error") as print_error_mock:
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with mock.patch("chatbug.utils.print_error") as print_error_mock:
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result = tool_helper._execute_tool_call_json({"name": "tool_dummy", "arguments": {"a": "must_be_an_int_but_is_string", "b": "zwei"}}, [helper.tool_dummy, helper.tool_dummy2])
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assert result == None
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assert print_error_mock.call_count == 1 # this will check if the mocked function on the context was called.
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@@ -75,7 +76,6 @@ def test_tool_call_json_wrong_arguments_check():
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def test_regex_multiline():
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import re
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pattern = r"<start>(.*)</end>"
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# The text to search (spanning multiple lines)
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