Code Duplication - SimonBlanke/Hyperactive - Measure and Improve Code Quality continuously with Scrutinizer

Code Duplication Length = 28-29 lines in 2 locations

tests/test_progress_board.py 2 locations


    assert pyplot_fig is not None


def test_streamlit_backend_2():
    search_id1 = "test_model1"
    search_id2 = "test_model2"
    search_id3 = "test_model3"

    search_ids = [search_id1, search_id2, search_id3]

    board = StreamlitBackend(search_ids)

    def objective_function(opt):
        score = -opt["x1"] * opt["x1"]
        return score

    search_space = {
        "x1": np.arange(-100, 101, 1),
    }

    hyper = Hyperactive()
    hyper.add_search(objective_function, search_space, n_iter=200)
    hyper.run()
    search_data = hyper.results(objective_function)
    search_data["nth_iter"] = 0
    search_data["score_best"] = 0
    search_data["nth_process"] = 0
    search_data["best"] = 0

    plotly_fig = board.plotly(search_data, search_id1)

    assert plotly_fig is not None


def test_streamlit_backend_3():

    assert progress_data is None


def test_streamlit_backend_1():
    search_id1 = "test_model1"
    search_id2 = "test_model2"
    search_id3 = "test_model3"

    search_ids = [search_id1, search_id2, search_id3]

    board = StreamlitBackend(search_ids)

    def objective_function(opt):
        score = -opt["x1"] * opt["x1"]
        return score

    search_space = {
        "x1": np.arange(-100, 101, 1),
    }

    hyper = Hyperactive()
    hyper.add_search(objective_function, search_space, n_iter=200)
    hyper.run()
    search_data = hyper.results(objective_function)
    search_data["nth_iter"] = 0
    search_data["score_best"] = 0
    search_data["nth_process"] = 0

    pyplot_fig = board.pyplot(search_data)

    assert pyplot_fig is not None


def test_streamlit_backend_2():

		@@ 139-167 (lines=29) @@
136		assert pyplot_fig is not None
137
138
139		def test_streamlit_backend_2():
140		search_id1 = "test_model1"
141		search_id2 = "test_model2"
142		search_id3 = "test_model3"
143
144		search_ids = [search_id1, search_id2, search_id3]
145
146		board = StreamlitBackend(search_ids)
147
148		def objective_function(opt):
149		score = -opt["x1"] * opt["x1"]
150		return score
151
152		search_space = {
153		"x1": np.arange(-100, 101, 1),
154		}
155
156		hyper = Hyperactive()
157		hyper.add_search(objective_function, search_space, n_iter=200)
158		hyper.run()
159		search_data = hyper.results(objective_function)
160		search_data["nth_iter"] = 0
161		search_data["score_best"] = 0
162		search_data["nth_process"] = 0
163		search_data["best"] = 0
164
165		plotly_fig = board.plotly(search_data, search_id1)
166
167		assert plotly_fig is not None
168
169
170		def test_streamlit_backend_3():
		@@ 109-136 (lines=28) @@
106		assert progress_data is None
107
108
109		def test_streamlit_backend_1():
110		search_id1 = "test_model1"
111		search_id2 = "test_model2"
112		search_id3 = "test_model3"
113
114		search_ids = [search_id1, search_id2, search_id3]
115
116		board = StreamlitBackend(search_ids)
117
118		def objective_function(opt):
119		score = -opt["x1"] * opt["x1"]
120		return score
121
122		search_space = {
123		"x1": np.arange(-100, 101, 1),
124		}
125
126		hyper = Hyperactive()
127		hyper.add_search(objective_function, search_space, n_iter=200)
128		hyper.run()
129		search_data = hyper.results(objective_function)
130		search_data["nth_iter"] = 0
131		search_data["score_best"] = 0
132		search_data["nth_process"] = 0
133
134		pyplot_fig = board.pyplot(search_data)
135
136		assert pyplot_fig is not None
137
138
139		def test_streamlit_backend_2():

SimonBlanke / Hyperactive

Code Duplication Length = 28-29 lines in 2 locations

tests/test_progress_board.py 2 locations