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https://github.com/freqtrade/freqtrade.git
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Merge pull request #2303 from freqtrade/feat/hyperopt_optional_install
Optional hyperopt dependency installation
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commit
5237723f22
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@ -22,13 +22,13 @@ RUN tar -xzf /freqtrade/ta-lib-0.4.0-src.tar.gz \
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ENV LD_LIBRARY_PATH /usr/local/lib
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# Install berryconda
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RUN wget https://github.com/jjhelmus/berryconda/releases/download/v2.0.0/Berryconda3-2.0.0-Linux-armv7l.sh \
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RUN wget -q https://github.com/jjhelmus/berryconda/releases/download/v2.0.0/Berryconda3-2.0.0-Linux-armv7l.sh \
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&& bash ./Berryconda3-2.0.0-Linux-armv7l.sh -b \
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&& rm Berryconda3-2.0.0-Linux-armv7l.sh
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# Install dependencies
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COPY requirements-common.txt /freqtrade/
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RUN ~/berryconda3/bin/conda install -y numpy pandas scipy \
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RUN ~/berryconda3/bin/conda install -y numpy pandas \
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&& ~/berryconda3/bin/pip install -r requirements-common.txt --no-cache-dir
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# Install and execute
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@ -99,8 +99,8 @@ sudo apt-get install build-essential git
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Before installing FreqTrade on a Raspberry Pi running the official Raspbian Image, make sure you have at least Python 3.6 installed. The default image only provides Python 3.5. Probably the easiest way to get a recent version of python is [miniconda](https://repo.continuum.io/miniconda/).
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The following assumes that miniconda3 is installed and available in your environment. Last miniconda3 installation file use python 3.4, we will update to python 3.6 on this installation.
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It's recommended to use (mini)conda for this as installation/compilation of `numpy`, `scipy` and `pandas` takes a long time.
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The following assumes that miniconda3 is installed and available in your environment. Since the last miniconda3 installation file uses python 3.4, we will update to python 3.6 on this installation.
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It's recommended to use (mini)conda for this as installation/compilation of `numpy` and `pandas` takes a long time.
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Additional package to install on your Raspbian, `libffi-dev` required by cryptography (from python-telegram-bot).
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@ -109,13 +109,17 @@ conda config --add channels rpi
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conda install python=3.6
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conda create -n freqtrade python=3.6
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conda activate freqtrade
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conda install scipy pandas numpy
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conda install pandas numpy
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sudo apt install libffi-dev
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python3 -m pip install -r requirements-common.txt
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python3 -m pip install -e .
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```
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!!! Note
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This does not install hyperopt dependencies. To install these, please use `python3 -m pip install -e .[hyperopt]`.
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We do not advise to run hyperopt on a Raspberry Pi, since this is a very resource-heavy operation, which should be done on powerful machine.
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### Common
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#### 1. Install TA-Lib
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@ -175,7 +179,6 @@ cp config.json.example config.json
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``` bash
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python3 -m pip install --upgrade pip
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python3 -m pip install -r requirements.txt
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python3 -m pip install -e .
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```
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@ -9,25 +9,26 @@ dependencies:
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- wheel
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- numpy
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- pandas
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- scipy
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- SQLAlchemy
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- scikit-learn
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- arrow
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- requests
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- urllib3
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- wrapt
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- joblib
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- jsonschema
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- tabulate
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- python-rapidjson
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- filelock
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- flask
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- python-dotenv
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- cachetools
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- scikit-optimize
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- python-telegram-bot
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# Optional for plotting
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- plotly
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# Optional for hyperopt
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- scipy
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- scikit-optimize
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- scikit-learn
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- filelock
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- joblib
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# Optional for development
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- flake8
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- pytest
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@ -1,9 +1,7 @@
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import logging
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from typing import Any, Dict
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from filelock import FileLock, Timeout
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from freqtrade import DependencyException, constants
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from freqtrade import DependencyException, constants, OperationalException
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from freqtrade.state import RunMode
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from freqtrade.utils import setup_utils_configuration
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@ -53,8 +51,12 @@ def start_hyperopt(args: Dict[str, Any]) -> None:
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:return: None
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"""
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# Import here to avoid loading hyperopt module when it's not used
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from freqtrade.optimize.hyperopt import Hyperopt
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try:
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from filelock import FileLock, Timeout
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from freqtrade.optimize.hyperopt import Hyperopt
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except ImportError as e:
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raise OperationalException(
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f"{e}. Please ensure that the hyperopt dependencies are installed.") from e
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# Initialize configuration
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config = setup_configuration(args, RunMode.HYPEROPT)
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@ -8,21 +8,15 @@ cachetools==3.1.1
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requests==2.22.0
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urllib3==1.25.5
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wrapt==1.11.2
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scikit-learn==0.21.3
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joblib==0.13.2
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jsonschema==3.0.2
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TA-Lib==0.4.17
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tabulate==0.8.3
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coinmarketcap==5.0.3
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# Required for hyperopt
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scikit-optimize==0.5.2
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filelock==3.0.12
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# find first, C search in arrays
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py_find_1st==1.1.4
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#Load ticker files 30% faster
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# Load ticker files 30% faster
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python-rapidjson==0.8.0
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# Notify systemd
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@ -1,6 +1,7 @@
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# Include all requirements to run the bot.
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-r requirements.txt
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-r requirements-plot.txt
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-r requirements-hyperopt.txt
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coveralls==1.8.2
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flake8==3.7.8
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9
requirements-hyperopt.txt
Normal file
9
requirements-hyperopt.txt
Normal file
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# Include all requirements to run the bot.
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# -r requirements.txt
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# Required for hyperopt
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scipy==1.3.1
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scikit-learn==0.21.3
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scikit-optimize==0.5.2
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filelock==3.0.12
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joblib==0.13.2
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@ -3,4 +3,3 @@
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numpy==1.17.2
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pandas==0.25.1
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scipy==1.3.1
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18
setup.py
18
setup.py
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@ -18,6 +18,13 @@ if readme_file.is_file():
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# Requirements used for submodules
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api = ['flask']
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plot = ['plotly>=4.0']
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hyperopt = [
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'scipy',
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'scikit-learn',
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'scikit-optimize',
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'filelock',
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'joblib',
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]
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develop = [
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'coveralls',
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@ -38,7 +45,7 @@ jupyter = [
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'ipykernel',
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]
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all_extra = api + plot + develop + jupyter
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all_extra = api + plot + develop + jupyter + hyperopt
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setup(name='freqtrade',
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version=__version__,
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'requests',
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'urllib3',
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'wrapt',
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'scikit-learn',
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'joblib',
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'jsonschema',
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'TA-Lib',
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'tabulate',
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'coinmarketcap',
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'scikit-optimize',
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'filelock',
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'py_find_1st',
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'python-rapidjson',
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'sdnotify',
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@ -77,15 +80,14 @@ setup(name='freqtrade',
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# from requirements.txt
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'numpy',
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'pandas',
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'scipy',
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],
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extras_require={
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'api': api,
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'dev': all_extra,
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'plot': plot,
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'all': all_extra,
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'jupyter': jupyter,
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'hyperopt': hyperopt,
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'all': all_extra,
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},
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include_package_data=True,
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zip_safe=False,
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@ -1054,3 +1054,24 @@ def rpc_balance():
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def testdatadir() -> Path:
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"""Return the path where testdata files are stored"""
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return (Path(__file__).parent / "testdata").resolve()
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@pytest.fixture(scope="function")
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def import_fails() -> None:
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# Source of this test-method:
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# https://stackoverflow.com/questions/2481511/mocking-importerror-in-python
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import builtins
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realimport = builtins.__import__
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def mockedimport(name, *args, **kwargs):
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if name in ["filelock"]:
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raise ImportError(f"No module named '{name}'")
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return realimport(name, *args, **kwargs)
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builtins.__import__ = mockedimport
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# Run test - then cleanup
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yield
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# restore previous importfunction
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builtins.__import__ = realimport
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@ -190,6 +190,24 @@ def test_hyperoptlossresolver_wrongname(mocker, default_conf, caplog) -> None:
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HyperOptLossResolver(default_conf, ).hyperopt
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def test_start_not_installed(mocker, default_conf, caplog, import_fails) -> None:
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start_mock = MagicMock()
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patched_configuration_load_config_file(mocker, default_conf)
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mocker.patch('freqtrade.optimize.hyperopt.Hyperopt.start', start_mock)
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patch_exchange(mocker)
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args = [
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'--config', 'config.json',
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'hyperopt',
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'--epochs', '5'
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]
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args = get_args(args)
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with pytest.raises(OperationalException, match=r"Please ensure that the hyperopt dependencies"):
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start_hyperopt(args)
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def test_start(mocker, default_conf, caplog) -> None:
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start_mock = MagicMock()
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patched_configuration_load_config_file(mocker, default_conf)
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