old_contents: # -*- coding: utf-8 -*-
  """Chemical Engineering Design Library (ChEDL). Utilities for process modeling.
  Copyright (C) 2017, Caleb Bell <Caleb.Andrew.Bell@gmail.com>
  
  Permission is hereby granted, free of charge, to any person obtaining a copy
  of this software and associated documentation files (the "Software"), to deal
  in the Software without restriction, including without limitation the rights
  to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  copies of the Software, and to permit persons to whom the Software is
  furnished to do so, subject to the following conditions:
  
  The above copyright notice and this permission notice shall be included in all
  copies or substantial portions of the Software.
  
  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  SOFTWARE.
  """
  
  from __future__ import division
  import types
  from fluids.numerics import numpy as np, FakePackage
  import fluids as normal_fluids
  
  '''Basic module which wraps all fluids functions with numpy's vectorize.
  All other object - dicts, classes, etc - are not wrapped. Supports star
  imports; so the same objects exported when importing from the main library
  will be imported from here.
  
  >>> from fluids.vectorized import *
  
  Inputs do not need to be numpy arrays; they can be any iterable:
  
  >>> fluids.vectorized.friction_factor(Re=[100, 1000, 10000], eD=0)
  array([ 0.64      ,  0.064     ,  0.03088295])
  
  Note that because this needs to import fluids itself, fluids.vectorized
  needs to be imported separately; the following will cause an error:
  
  >>> import fluids
  >>> fluids.vectorized # Won't work, has not been imported yet
  
  The correct syntax is as follows:
  
  >>> import fluids.vectorized # Necessary
  >>> from fluids.vectorized import * # May be used without first importing fluids
  
  
  This module is lightweight! It takes approximately 3 ms to load, and increases
  ram usage by only 250 KB.
  '''
  
  __all__ = []
  
  __funcs = {}
  
  bad_names = set(('__file__', '__name__', '__package__', '__cached__'))
  
  if np is FakePackage:
      pass
  else:
  
      for name in dir(normal_fluids):
          obj = getattr(normal_fluids, name)
          if isinstance(obj, types.FunctionType):
              obj = np.vectorize(obj)
          elif isinstance(obj, str):
              if name in bad_names:
                  continue
          __all__.append(name)
          __funcs[name] = obj
  globals().update(__funcs)
  del __funcs
  
new_contents: # -*- coding: utf-8 -*-
  """Chemical Engineering Design Library (ChEDL). Utilities for process modeling.
  Copyright (C) 2017, Caleb Bell <Caleb.Andrew.Bell@gmail.com>
  
  Permission is hereby granted, free of charge, to any person obtaining a copy
  of this software and associated documentation files (the "Software"), to deal
  in the Software without restriction, including without limitation the rights
  to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  copies of the Software, and to permit persons to whom the Software is
  furnished to do so, subject to the following conditions:
  
  The above copyright notice and this permission notice shall be included in all
  copies or substantial portions of the Software.
  
  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  SOFTWARE.
  """
  
  from __future__ import division
  from fluids.numerics import numpy as np, FakePackage
  import fluids as normal_fluids
  
  '''Basic module which wraps all fluids functions with numpy's vectorize.
  All other object - dicts, classes, etc - are not wrapped. Supports star
  imports; so the same objects exported when importing from the main library
  will be imported from here.
  
  >>> from fluids.vectorized import *
  
  Inputs do not need to be numpy arrays; they can be any iterable:
  
  >>> fluids.vectorized.friction_factor(Re=[100, 1000, 10000], eD=0)
  array([ 0.64      ,  0.064     ,  0.03088295])
  
  Note that because this needs to import fluids itself, fluids.vectorized
  needs to be imported separately; the following will cause an error:
  
  >>> import fluids
  >>> fluids.vectorized # Won't work, has not been imported yet
  
  The correct syntax is as follows:
  
  >>> import fluids.vectorized # Necessary
  >>> from fluids.vectorized import * # May be used without first importing fluids
  
  
  This module is lightweight! It takes approximately 3 ms to load, and increases
  ram usage by only 250 KB.
  '''
  
  __all__ = []
  
  __funcs = {}
  
  bad_names = set(('__file__', '__name__', '__package__', '__cached__'))
  
  if isinstance(np, FakePackage):
      pass
  else:
      import types
      for name in dir(normal_fluids):
          obj = getattr(normal_fluids, name)
          if isinstance(obj, types.FunctionType):
              obj = np.vectorize(obj)
          elif isinstance(obj, str):
              if name in bad_names:
                  continue
          __all__.append(name)
          __funcs[name] = obj
  globals().update(__funcs)
  del __funcs
  
subject: Fix for micropython