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c914740f48
* Updating tests : stocks/quantitative_analysis * Updating tests : stocks/insider * Updating tests : stocks/quantitative_analysis * Updating tests : stocks/insider * Updating tests : stocks/insider * Updating tests : stocks/quantitative_analysis * Updating tests : stocks/quantitative_analysis
524 lines
14 KiB
Python
524 lines
14 KiB
Python
# IMPORTATION STANDARD
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import os
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from datetime import datetime
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# IMPORTATION THIRDPARTY
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import pandas as pd
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import pytest
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# IMPORTATION INTERNAL
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from gamestonk_terminal.stocks.quantitative_analysis import qa_controller
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# pylint: disable=E1101
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# pylint: disable=W0603
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# pylint: disable=E1111
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DF_STOCK = pd.DataFrame.from_dict(
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data={
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pd.Timestamp("2020-11-30 00:00:00"): {
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"Open": 75.69999694824219,
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"High": 76.08999633789062,
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"Low": 75.41999816894531,
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"Close": 75.75,
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"Adj Close": 71.90919494628906,
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"Volume": 5539100,
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"date_id": 1,
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"OC_High": 75.75,
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"OC_Low": 75.69999694824219,
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},
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pd.Timestamp("2020-12-01 00:00:00"): {
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"Open": 76.0199966430664,
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"High": 77.12999725341797,
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"Low": 75.69000244140625,
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"Close": 77.02999877929688,
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"Adj Close": 73.1242904663086,
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"Volume": 6791700,
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"date_id": 2,
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"OC_High": 77.02999877929688,
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"OC_Low": 76.0199966430664,
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},
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},
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orient="index",
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)
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EMPTY_DF = pd.DataFrame()
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QA_CONTROLLER = qa_controller.QaController(
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ticker="MOCK_TICKER",
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start=datetime.strptime("2021-12-21", "%Y-%m-%d"),
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interval="MOCK_INTERVAL",
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stock=DF_STOCK.copy(),
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)
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@pytest.fixture(scope="module")
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def vcr_config():
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return {
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"filter_headers": [("User-Agent", None)],
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"filter_query_parameters": [
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("period1", "1598220000"),
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("period2", "1635980400"),
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],
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}
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@pytest.mark.vcr(record_mode="none")
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@pytest.mark.parametrize(
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"queue, expected",
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[
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(["load", "help"], []),
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(["quit", "help"], ["help"]),
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],
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)
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def test_menu_with_queue(expected, mocker, queue):
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mocker.patch(
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target=(
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"gamestonk_terminal.stocks.quantitative_analysis.qa_controller."
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"QaController.switch"
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),
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return_value=["quit"],
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)
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result_menu = qa_controller.menu(
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ticker="TSLA",
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start=datetime.strptime("2021-12-21", "%Y-%m-%d"),
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interval="1440min",
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stock=DF_STOCK.copy(),
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queue=queue,
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)
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assert result_menu == expected
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@pytest.mark.vcr(record_mode="none")
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def test_menu_without_queue_completion(mocker):
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# DISABLE AUTO-COMPLETION
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mocker.patch.object(
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target=qa_controller.gtff,
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attribute="USE_PROMPT_TOOLKIT",
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new=True,
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)
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mocker.patch(
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target="gamestonk_terminal.stocks.quantitative_analysis.qa_controller.session",
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)
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mocker.patch(
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target="gamestonk_terminal.stocks.quantitative_analysis.qa_controller.session.prompt",
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return_value="quit",
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)
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result_menu = qa_controller.menu(
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ticker="TSLA",
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start=datetime.strptime("2021-12-21", "%Y-%m-%d"),
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interval="1440min",
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stock=DF_STOCK.copy(),
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queue=None,
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)
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assert result_menu == []
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@pytest.mark.vcr(record_mode="none")
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@pytest.mark.parametrize(
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"mock_input",
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["help", "homee help", "home help", "mock"],
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)
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def test_menu_without_queue_sys_exit(mock_input, mocker):
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# DISABLE AUTO-COMPLETION
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mocker.patch.object(
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target=qa_controller.gtff,
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attribute="USE_PROMPT_TOOLKIT",
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new=False,
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)
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mocker.patch(
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target="gamestonk_terminal.stocks.quantitative_analysis.qa_controller.session",
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return_value=None,
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)
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# MOCK USER INPUT
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mocker.patch("builtins.input", return_value=mock_input)
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# MOCK SWITCH
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class SystemExitSideEffect:
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def __init__(self):
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self.first_call = True
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def __call__(self, *args, **kwargs):
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if self.first_call:
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self.first_call = False
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raise SystemExit()
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return ["quit"]
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mock_switch = mocker.Mock(side_effect=SystemExitSideEffect())
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mocker.patch(
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target=(
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"gamestonk_terminal.stocks.quantitative_analysis.qa_controller."
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"QaController.switch"
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),
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new=mock_switch,
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)
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result_menu = qa_controller.menu(
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ticker="TSLA",
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start=datetime.strptime("2021-12-21", "%Y-%m-%d"),
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interval="1440min",
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stock=DF_STOCK.copy(),
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queue=None,
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)
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assert result_menu == []
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@pytest.mark.vcr(record_mode="none")
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@pytest.mark.record_stdout
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def test_print_help():
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controller = qa_controller.QaController(
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ticker="",
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start="",
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interval="",
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stock=DF_STOCK.copy(),
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)
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controller.print_help()
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@pytest.mark.vcr(record_mode="none")
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@pytest.mark.parametrize(
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"an_input, expected_queue",
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[
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("", []),
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("/help", ["quit", "quit", "help"]),
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("help/help", ["help"]),
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("q", ["quit"]),
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("h", []),
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("r", ["quit", "quit", "reset", "stocks", "qa"]),
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],
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)
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def test_switch(an_input, expected_queue):
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controller = qa_controller.QaController(
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ticker="",
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start="",
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interval="",
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stock=DF_STOCK.copy(),
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queue=None,
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)
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queue = controller.switch(an_input=an_input)
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assert queue == expected_queue
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@pytest.mark.vcr(record_mode="none")
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def test_call_cls(mocker):
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mocker.patch("os.system")
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controller = qa_controller.QaController(
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ticker="",
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start="",
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interval="",
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stock=DF_STOCK.copy(),
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)
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controller.call_cls([])
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assert controller.queue == []
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os.system.assert_called_once_with("cls||clear")
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@pytest.mark.vcr(record_mode="none")
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@pytest.mark.parametrize(
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"func, queue, expected_queue",
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[
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(
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"call_exit",
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[],
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[
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"quit",
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"quit",
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"quit",
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],
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),
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("call_exit", ["help"], ["quit", "quit", "quit", "help"]),
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("call_home", [], ["quit", "quit"]),
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("call_help", [], []),
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("call_quit", [], ["quit"]),
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("call_quit", ["help"], ["quit", "help"]),
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(
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"call_reset",
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[],
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["quit", "quit", "reset", "stocks", "load MOCK_TICKER", "qa"],
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),
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(
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"call_reset",
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["help"],
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["quit", "quit", "reset", "stocks", "load MOCK_TICKER", "qa", "help"],
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),
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],
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)
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def test_call_func_expect_queue(expected_queue, queue, func):
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controller = qa_controller.QaController(
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ticker="MOCK_TICKER",
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start="",
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interval="",
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stock=DF_STOCK.copy(),
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queue=queue,
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)
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result = getattr(controller, func)([])
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assert result is None
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assert controller.queue == expected_queue
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@pytest.mark.vcr(record_mode="none")
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@pytest.mark.parametrize(
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"tested_func, other_args, mocked_func, called_args, called_kwargs",
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[
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(
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"call_pick",
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[QA_CONTROLLER.target],
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"",
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[],
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dict(),
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),
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(
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"call_raw",
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["--num=1", "--descend", "--export=csv"],
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"qa_view.display_raw",
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[QA_CONTROLLER.stock[QA_CONTROLLER.target]],
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dict(
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num=1,
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sort="",
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des=True,
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export="csv",
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),
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),
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(
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"call_summary",
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["--export=csv"],
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"qa_view.display_summary",
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[],
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dict(
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df=QA_CONTROLLER.stock,
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export="csv",
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),
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),
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(
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"call_hist",
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["--bins=1"],
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"qa_view.display_hist",
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[],
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dict(
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name=QA_CONTROLLER.ticker,
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df=QA_CONTROLLER.stock,
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target=QA_CONTROLLER.target,
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bins=1,
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),
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),
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(
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"call_cdf",
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["--export=csv"],
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"qa_view.display_cdf",
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[],
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dict(
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name=QA_CONTROLLER.ticker,
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df=QA_CONTROLLER.stock,
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target=QA_CONTROLLER.target,
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export="csv",
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),
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),
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(
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"call_bw",
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["--yearly"],
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"qa_view.display_bw",
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[],
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dict(
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name=QA_CONTROLLER.ticker,
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df=QA_CONTROLLER.stock,
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target=QA_CONTROLLER.target,
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yearly=True,
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),
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),
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(
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"call_rolling",
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["--length=1", "--export=csv"],
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"rolling_view.display_mean_std",
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[],
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dict(
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name=QA_CONTROLLER.ticker,
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df=QA_CONTROLLER.stock,
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target=QA_CONTROLLER.target,
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length=1,
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export="csv",
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),
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),
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(
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"call_decompose",
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["--multiplicative", "--export=csv"],
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"qa_view.display_seasonal",
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[],
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dict(
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name=QA_CONTROLLER.ticker,
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df=QA_CONTROLLER.stock,
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target=QA_CONTROLLER.target,
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multiplicative=True,
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export="csv",
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),
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),
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(
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"call_cusum",
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["--threshold=1", "--drift=2"],
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"qa_view.display_cusum",
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[],
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dict(
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df=QA_CONTROLLER.stock,
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target=QA_CONTROLLER.target,
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threshold=1,
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drift=2,
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),
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),
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(
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"call_acf",
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["--lags=1"],
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"qa_view.display_acf",
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[],
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dict(
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name=QA_CONTROLLER.ticker,
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df=QA_CONTROLLER.stock,
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target=QA_CONTROLLER.target,
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lags=1,
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),
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),
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(
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"call_spread",
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["--length=1", "--export=csv"],
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"rolling_view.display_spread",
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[],
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dict(
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name=QA_CONTROLLER.ticker,
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df=QA_CONTROLLER.stock,
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target=QA_CONTROLLER.target,
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length=1,
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export="csv",
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),
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),
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(
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"call_quantile",
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["--length=1", "--quantile=0.1", "--export=csv"],
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"rolling_view.display_quantile",
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[],
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dict(
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name=QA_CONTROLLER.ticker,
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df=QA_CONTROLLER.stock,
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target=QA_CONTROLLER.target,
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length=1,
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quantile=0.1,
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export="csv",
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),
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),
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(
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"call_skew",
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["--length=1", "--export=csv"],
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"rolling_view.display_skew",
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[],
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dict(
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name=QA_CONTROLLER.ticker,
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df=QA_CONTROLLER.stock,
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target=QA_CONTROLLER.target,
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length=1,
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export="csv",
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),
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),
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(
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"call_kurtosis",
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["--length=1", "--export=csv"],
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"rolling_view.display_kurtosis",
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[],
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dict(
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name=QA_CONTROLLER.ticker,
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df=QA_CONTROLLER.stock,
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target=QA_CONTROLLER.target,
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length=1,
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export="csv",
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),
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),
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(
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"call_normality",
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["--export=csv"],
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"qa_view.display_normality",
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[],
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dict(
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df=QA_CONTROLLER.stock,
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target=QA_CONTROLLER.target,
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export="csv",
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),
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),
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(
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"call_qqplot",
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[],
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"qa_view.display_qqplot",
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[],
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dict(
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name=QA_CONTROLLER.ticker,
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df=QA_CONTROLLER.stock,
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target=QA_CONTROLLER.target,
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),
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),
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(
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"call_unitroot",
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["--fuller_reg=ctt", "--kps_reg=ct", "--export=csv"],
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"qa_view.display_unitroot",
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[],
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dict(
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df=QA_CONTROLLER.stock,
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target=QA_CONTROLLER.target,
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fuller_reg="ctt",
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kpss_reg="ct",
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export="csv",
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),
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),
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(
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"call_capm",
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["--fuller_reg=ctt", "--kps_reg=ct", "--export=csv"],
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"capm_view",
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[QA_CONTROLLER.ticker],
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dict(),
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),
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],
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)
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def test_call_func(
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tested_func, mocked_func, other_args, called_args, called_kwargs, mocker
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):
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if mocked_func:
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mock = mocker.Mock()
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mocker.patch(
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"gamestonk_terminal.stocks.quantitative_analysis.qa_controller."
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+ mocked_func,
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new=mock,
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)
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getattr(QA_CONTROLLER, tested_func)(other_args=other_args)
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if called_args or called_kwargs:
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mock.assert_called_once_with(*called_args, **called_kwargs)
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else:
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mock.assert_called_once()
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else:
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getattr(QA_CONTROLLER, tested_func)(other_args=other_args)
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@pytest.mark.vcr
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def test_call_load(mocker):
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yf_download = qa_controller.stocks_helper.yf.download
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def mock_yf_download(*args, **kwargs):
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kwargs["threads"] = False
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return yf_download(*args, **kwargs)
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mocker.patch("yfinance.download", side_effect=mock_yf_download)
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controller = qa_controller.QaController(
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ticker="MOCK_TICKER",
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start="MOCK_DATE",
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interval="MOCK_INTERVAL",
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stock=DF_STOCK.copy(),
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)
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other_args = [
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"TSLA",
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"--start=2021-12-17",
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]
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old_stock = controller.stock
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controller.call_load(other_args=other_args)
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assert not controller.stock.empty
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assert not controller.stock.equals(old_stock)
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