Blackify the code

Author: uvchik

example/turbine_cluster_modelchain_example.py

@@ -25,6 +25,7 @@
 # You can use the logging package to get logging messages from the windpowerlib
 # Change the logging level if you want more or less messages
 import logging
+
 logging.getLogger().setLevel(logging.DEBUG)
 
 
@@ -202,10 +203,10 @@ def plot_or_print(example_farm, example_cluster):
 
     # plot or print power output
     if plt:
-        example_cluster.power_output.plot(legend=True, label='example cluster')
-        example_farm.power_output.plot(legend=True, label='example farm')
-        plt.xlabel('Wind speed in m/s')
-        plt.ylabel('Power in W')
+        example_cluster.power_output.plot(legend=True, label="example cluster")
+        example_farm.power_output.plot(legend=True, label="example farm")
+        plt.xlabel("Wind speed in m/s")
+        plt.ylabel("Power in W")
         plt.show()
     else:
         print(example_cluster.power_output)

setup.py

@@ -6,22 +6,33 @@ def read(fname):
     return open(os.path.join(os.path.dirname(__file__), fname)).read()
 
 
-setup(name='windpowerlib',
-      version='0.2.1dev',
-      description='Creating time series of wind power plants.',
-      url='http://github.com/wind-python/windpowerlib',
-      author='oemof developer group',
-      author_email='[email protected]',
-      license='MIT',
-      packages=['windpowerlib'],
-      package_data={
-          'windpowerlib': [os.path.join('data', '*.csv'),
-                           os.path.join('oedb', '*.csv')]},
-      long_description=read('README.rst'),
-      long_description_content_type='text/x-rst',
-      zip_safe=False,
-      install_requires=['pandas >= 0.20.0, < 0.26',
-                        'requests < 3.0'],
-      extras_require={
-          'dev': ['pytest', 'jupyter', 'sphinx_rtd_theme', 'nbformat',
-                  'numpy', 'matplotlib']})
+setup(
+    name="windpowerlib",
+    version="0.2.1dev",
+    description="Creating time series of wind power plants.",
+    url="http://github.com/wind-python/windpowerlib",
+    author="oemof developer group",
+    author_email="[email protected]",
+    license="MIT",
+    packages=["windpowerlib"],
+    package_data={
+        "windpowerlib": [
+            os.path.join("data", "*.csv"),
+            os.path.join("oedb", "*.csv"),
+        ]
+    },
+    long_description=read("README.rst"),
+    long_description_content_type="text/x-rst",
+    zip_safe=False,
+    install_requires=["pandas >= 0.20.0, < 0.26", "requests < 3.0"],
+    extras_require={
+        "dev": [
+            "pytest",
+            "jupyter",
+            "sphinx_rtd_theme",
+            "nbformat",
+            "numpy",
+            "matplotlib",
+        ]
+    },
+)

tests/test_turbine_cluster_modelchain.py

@@ -364,15 +364,20 @@ def test_heigths_as_string(self):
 
         # Convert data heights to str
         string_weather = self.weather_df.copy()
-        string_weather.columns = pd.MultiIndex.from_arrays([
-            string_weather.columns.get_level_values(0),
-            string_weather.columns.get_level_values(1).astype(str)])
+        string_weather.columns = pd.MultiIndex.from_arrays(
+            [
+                string_weather.columns.get_level_values(0),
+                string_weather.columns.get_level_values(1).astype(str),
+            ]
+        )
 
         # Heights in the original DataFrame are of type np.int64
-        assert isinstance(self.weather_df.columns.get_level_values(1)[0],
-                          np.int64)
+        assert isinstance(
+            self.weather_df.columns.get_level_values(1)[0], np.int64
+        )
         assert isinstance(string_weather.columns.get_level_values(1)[0], str)
 
         test_mc = tc_mc.TurbineClusterModelChain(
-            power_plant=wtc.WindTurbineCluster(**self.test_cluster))
+            power_plant=wtc.WindTurbineCluster(**self.test_cluster)
+        )
         test_mc.run_model(string_weather)

tests/test_wind_turbine.py

@@ -114,10 +114,10 @@ def test_wrongly_defined_to_group_method(self):
     def test_create_unphysical_turbine(self):
         err_msg = "1/2rotor_diameter cannot be greater than hub_height"
         char = {
-           'hub_height': 80,
-           'rotor_diameter': 160,
-           'turbine_type': 'DUMMY 3',
-           'path': self.source
+            "hub_height": 80,
+            "rotor_diameter": 160,
+            "turbine_type": "DUMMY 3",
+            "path": self.source,
         }
         with pytest.raises(ValueError, match=err_msg):
             WindTurbine(**char)

windpowerlib/density.py

@@ -62,8 +62,13 @@ def barometric(pressure, pressure_height, hub_height, temperature_hub_height):
         http://www.dwd.de/DE/service/lexikon/begriffe/D/Druckgradient_pdf.pdf?__blob=publicationFile&v=4
 
     """
-    return ((pressure / 100 - (hub_height - pressure_height) * 1 / 8) * 1.225 *
-            288.15 * 100 / (101330 * temperature_hub_height))
+    return (
+        (pressure / 100 - (hub_height - pressure_height) * 1 / 8)
+        * 1.225
+        * 288.15
+        * 100
+        / (101330 * temperature_hub_height)
+    )
 
 
 def ideal_gas(pressure, pressure_height, hub_height, temperature_hub_height):
@@ -125,5 +130,8 @@ def ideal_gas(pressure, pressure_height, hub_height, temperature_hub_height):
             http://www.dwd.de/DE/service/lexikon/begriffe/D/Druckgradient_pdf.pdf?__blob=publicationFile&v=4
 
     """
-    return ((pressure / 100 - (hub_height - pressure_height) * 1 / 8) * 100 /
-            (287.058 * temperature_hub_height))
+    return (
+        (pressure / 100 - (hub_height - pressure_height) * 1 / 8)
+        * 100
+        / (287.058 * temperature_hub_height)
+    )

windpowerlib/power_curves.py

@@ -11,10 +11,15 @@
 from windpowerlib import tools
 
 
-def smooth_power_curve(power_curve_wind_speeds, power_curve_values,
-                       block_width=0.5, wind_speed_range=15.0,
-                       standard_deviation_method='turbulence_intensity',
-                       mean_gauss=0, **kwargs):
+def smooth_power_curve(
+    power_curve_wind_speeds,
+    power_curve_values,
+    block_width=0.5,
+    wind_speed_range=15.0,
+    standard_deviation_method="turbulence_intensity",
+    mean_gauss=0,
+    **kwargs
+):
     r"""
     Smoothes a power curve by using a Gauss distribution.
 

windpowerlib/power_output.py

@@ -9,9 +9,13 @@
 import pandas as pd
 
 
-def power_coefficient_curve(wind_speed, power_coefficient_curve_wind_speeds,
-                            power_coefficient_curve_values, rotor_diameter,
-                            density):
+def power_coefficient_curve(
+    wind_speed,
+    power_coefficient_curve_wind_speeds,
+    power_coefficient_curve_values,
+    rotor_diameter,
+    density,
+):
     r"""
     Calculates the turbine power output using a power coefficient curve.
 

windpowerlib/tools.py

@@ -22,6 +22,7 @@ class WindpowerlibUserWarning(UserWarning):
     >>> import warnings
     >>> warnings.filterwarnings("ignore", category=WindpowerlibUserWarning)
     """
+
     pass
 
 
@@ -187,9 +188,13 @@ def gauss_distribution(function_variable, standard_deviation, mean=0):
              New York, Cambridge University Press, 2011, p. 37
 
     """
-    return (1 / (standard_deviation * np.sqrt(2 * np.pi)) *
-            np.exp(-(function_variable - mean)**2 /
-                   (2 * standard_deviation**2)))
+    return (
+        1
+        / (standard_deviation * np.sqrt(2 * np.pi))
+        * np.exp(
+            -((function_variable - mean) ** 2) / (2 * standard_deviation ** 2)
+        )
+    )
 
 
 def estimate_turbulence_intensity(height, roughness_length):

windpowerlib/wake_losses.py

@@ -10,7 +10,7 @@
 import os
 
 
-def reduce_wind_speed(wind_speed, wind_efficiency_curve_name='dena_mean'):
+def reduce_wind_speed(wind_speed, wind_efficiency_curve_name="dena_mean"):
     r"""
     Reduces wind speed by a wind efficiency curve.
 

windpowerlib/wind_speed.py

@@ -9,8 +9,13 @@
 import pandas as pd
 
 
-def logarithmic_profile(wind_speed, wind_speed_height, hub_height,
-                        roughness_length, obstacle_height=0.0):
+def logarithmic_profile(
+    wind_speed,
+    wind_speed_height,
+    hub_height,
+    roughness_length,
+    obstacle_height=0.0,
+):
     r"""
     Calculates the wind speed at hub height using a logarithmic wind profile.