diff --git a/pvlib/data/12839.tm2 b/pvlib/data/12839.tm2
old mode 100755
new mode 100644
diff --git a/pvlib/data/703165TY.csv b/pvlib/data/703165TY.csv
old mode 100755
new mode 100644
diff --git a/pvlib/data/LinkeTurbidities.mat b/pvlib/data/LinkeTurbidities.mat
old mode 100755
new mode 100644
diff --git a/pvlib/spa_c_files/a.out b/pvlib/spa_c_files/a.out
old mode 100755
new mode 100644
diff --git a/pvlib/test/__init__.py b/pvlib/test/__init__.py
old mode 100755
new mode 100644
diff --git a/pvlib/test/test_tools.py b/pvlib/test/test_tools.py
deleted file mode 100755
index 4529b6e538..0000000000
--- a/pvlib/test/test_tools.py
+++ /dev/null
@@ -1,324 +0,0 @@
-
-from pvlib import pvl_tools	 
-from nose.tools import *
-import numpy as np
-import pandas as pd 
-#Baseline functioning test
-def test_inputs_pvl():
-	kwargs={'AMRelative': np.array([4,5]),
-			'Pressure': np.array([5,8]),
-			'setting': 'yes'
-			}
-	Expect={'AMRelative': ('num'),
-			'Pressure': ('num', '>0'),
-			'setting': ('setup', ('yes', 'no')),
-			}
-	var=pvl_tools.Parse(kwargs,Expect)
-
-@raises(Exception)
-def test_inputs_pvl_sting_in_numeric():
-	kwargs={'AMRelative': np.array([4,5]),
-			'Pressure': np.array([5,'goat']),
-			'setting': 'yes'
-			}
-	Expect={'AMRelative': ('num'),
-			'Pressure': ('num', '>0'),
-			'setting': ('setup', ('yes', 'no')),
-			}
-	var=pvl_tools.Parse(kwargs,Expect)
-	#assert(Exception=='Error: Non-numeric value in numeric input field: Pressure')    	
-
-#Baseline functioning test
-def test_inputs_pvl_not_An_array():
-	kwargs={'AMRelative': np.array([5]),
-			'Pressure': np.array([5,8]),
-			'setting': 'yes'
-			}
-	Expect={'AMRelative': ('num'),
-			'Pressure': ('num', '>0'),
-			'setting': ('str', ('yes', 'no')),
-			}
-	kwargs=pvl_tools.Parse(kwargs,Expect)
-
-	assert isinstance(kwargs.AMRelative,np.ndarray)
-
-
-@raises(Exception)
-def test_inputs_pvl_sting_in_list():
-	kwargs={'AMRelative': 5,
-			'Pressure': np.array([5,8]),
-			'setting': 'start'
-			}
-	Expect={'AMRelative': ('num'),
-			'Pressure': ('num', '>0'),
-			'setting': ('str', ('yes', 'no')),
-			}
-	kwargs=pvl_tools.Parse(kwargs,Expect)
-
-
-def test_inputs_pvl_open_string():
-	kwargs={'AMRelative': 5,
-			'Pressure': np.array([5,8]),
-			'setting': 'start'
-			}
-	Expect={'AMRelative': ('num'),
-			'Pressure': ('num', 'x>0'),
-			'setting': ('open', ('yes', 'no')),
-			}
-	kwargs=pvl_tools.Parse(kwargs,Expect)
-
-@raises(Exception)
-def test_inputs_pvl_fail_logical():
-	kwargs={'AMRelative': 5,
-			'Pressure': np.array([-5,8]),
-			'setting': 'start'
-			}
-	Expect={'AMRelative': ('num'),
-			'Pressure': ('num', 'x>0'),
-			'setting': ('open', ('yes', 'no')),
-			}
-	kwargs=pvl_tools.Parse(kwargs,Expect)
-
-@raises(Exception)
-def test_inputs_pvl_fail_logical_multiple():
-	kwargs={'AMRelative': 5,
-			'Pressure': np.array([5,20]),
-			'setting': 'start'
-			}
-	Expect={'AMRelative': ('num'),
-			'Pressure': ('num', 'x>0','x<10'),
-			'setting': ('open', ('yes', 'no')),
-			}
-	kwargs=pvl_tools.Parse(kwargs,Expect)
-
-@raises(Exception)
-def test_inputs_pvl_fail_logical_multiple():
-	kwargs={'AMRelative': 5,
-			'Pressure': np.array([-5,20]),
-			'setting': 'start'
-			}
-	Expect={'AMRelative': ('num'),
-			'Pressure': ('num', 'x>0','x<20'),
-			'setting': ('open', ('yes', 'no')),
-			}
-	kwargs=pvl_tools.Parse(kwargs,Expect)
-
-@raises(Exception)
-def test_inputs_pvl_fail_syntac():
-	kwargs={'AMRelative': 5,
-			'Pressure': np.array([5,20]),
-			'setting': 'start'
-			}
-	Expect={'AMRelative': ('num'),
-			'Pressure': ('num', 'x>0','x-<20'),
-			'setting': ('open', ('yes', 'no')),
-			}
-	kwargs=pvl_tools.Parse(kwargs,Expect)
-
-@raises(Exception)
-def test_inputs_pvl_fail_check_vunerability():
-	kwargs={'AMRelative': 5,
-			'Pressure': np.array([5,20]),
-			'setting': 'start'
-			}
-	Expect={'AMRelative': ('num'),
-			'Pressure': ('num', 'x>0',"__import__('os')"),
-			'setting': ('open', ('yes', 'no')),
-			}
-	kwargs=pvl_tools.Parse(kwargs,Expect)
-@raises(Exception)
-def test_wrong_inputs():
-	kwargs={'IAMWRONG': 5,
-			'Pressure': np.array([5,20]),
-			'setting': 'start'
-			}
-	Expect={'AMRelative': ('num'),
-			'Pressure': ('num', 'x>0'),
-			'setting': ('open', ('yes', 'no')),
-			}
-	kwargs=pvl_tools.Parse(kwargs,Expect)
-
-#Test for pandas dataframes
-
-def test_dataframe_input():
-	df = pd.DataFrame(np.random.randn(100,3),columns=['A','B','C'],index=pd.date_range('20130101',periods=100,freq='H'))
-	kwargs={'AMRelative' : df.A,
-			'Pressure': df.B,
-			'setting': 'yes'}
-
-	Expect={'AMRelative': ('num'),
-		'Pressure': ('num'),
-		'setting': ('str', ('yes', 'no')),
-		}
-	kwargs=pvl_tools.Parse(kwargs,Expect)
-
-def test_defaultvalues():
-	kwargs={'Pressure': np.array([5,8]),
-			'setting': 'yes'
-			}
-	Expect={'AMRelative': ('num','default','default=100'),
-			'Pressure': ('num', '>0'),
-			'setting': ('setup', ('yes', 'no')),
-			}
-	kwargs=pvl_tools.Parse(kwargs,Expect)
-	assert(kwargs.AMRelative==100)
-
-def test_defaultvalues_actualprovided():
-	kwargs={'AMRelative': 5,
-			'Pressure': np.array([5,8]),
-			'setting': 'yes'
-			}
-	Expect={'AMRelative': ('num','default','default=100'),
-			'Pressure': ('num', '>0'),
-			'setting': ('setup', ('yes', 'no')),
-			}
-	kwargs=pvl_tools.Parse(kwargs,Expect)
-	assert(kwargs.AMRelative==5)
-
-def test_defaultvalues_string():
-	kwargs={'Pressure': np.array([5,8]),
-			'setting': 'yes'
-			}
-	Expect={'AMRelative': ('num','default','default=house'),
-			'Pressure': ('num', '>0'),
-			'setting': ('setup', ('yes', 'no')),
-			}
-	kwargs=pvl_tools.Parse(kwargs,Expect)
-	print kwargs.AMRelative
-	assert(kwargs.AMRelative=='house')	
-
-def test_pandas_df():
-	dates = pd.date_range('20130101',periods=6)
-	df = pd.DataFrame(np.random.randn(6,4)+5,index=dates,columns=list('ABCD'))
-	
-	kwargs={'DataFrame': df,
-			'meta':{'one':11,'two':22},
-			'other':2}
-
-	Expect={'DataFrame': ('df',('A','B','C')),
-		'meta': ('dict'),
-		'other': ('num','x>0'),
-		'A':('matelement','x>0'),
-		}
-
-	var=pvl_tools.Parse(kwargs,Expect)
-	assert(any(var.DataFrame>1))	
-
-def test_pandas_double_df():
-	dates = pd.date_range('20130101',periods=6)
-	df = pd.DataFrame(np.random.randn(6,4)+5,index=dates,columns=list('ABCD'))
-	df2= pd.DataFrame(np.random.randn(6,4)+20,index=dates,columns=list('LFGE'))
-	kwargs={'DataFrame': df,
-			'module':df2,
-			'other':2}
-
-	Expect={'DataFrame': ('df',('A','B','C')),
-		'module': (''),
-		'other': ('num','x>0'),
-		'A':('matelement','x>0'),
-		}
-
-	var=pvl_tools.Parse(kwargs,Expect)
-	assert((var.module['L']>0).any())	
-
-@raises(Exception)	
-def test_pandas_df_wrong_inexuality():
-	dates = pd.date_range('20130101',periods=6)
-	df = pd.DataFrame(np.random.randn(6,4)+5,index=dates,columns=list('ABCD'))
-	
-	kwargs={'DataFrame': df,
-			'meta':{'one':11,'two':22},
-			'other':2}
-
-	Expect={'DataFrame': ('df',('A','B','C')),
-		'meta': ('dict'),
-		'other': ('num','x>0'),
-		'A':('matelement','x<0'),
-		}
-	
-	var=pvl_tools.Parse(kwargs,Expect)
-	assert(var.DataFrame>1)	
-
-@raises(Exception)	
-def test_pandas_df_missing_df_element():
-	dates = pd.date_range('20130101',periods=6)
-	df = pd.DataFrame(np.random.randn(6,4)+5,index=dates,columns=list('ABCD'))
-	
-	kwargs={'DataFrame': df,
-			'meta':{'one':11,'two':22},
-			'other':2}
-
-	Expect={'DataFrame': ('df',('A','B','C')),
-		'meta': ('dict'),
-		'other': ('num','x>0'),
-		'A':('matelement','x>0'),
-		'G':('matelement')
-		}
-	
-	var=pvl_tools.Parse(kwargs,Expect)
-	assert(var.DataFrame>1)	
-
-def test_optional_value():
-	dates = pd.date_range('20130101',periods=6)
-	df = pd.DataFrame(np.random.randn(6,4)+5,index=dates,columns=list('ABCD'))
-	
-	kwargs={'DataFrame': df,
-			'meta':{'one':11,'two':22},
-			'other':2}
-
-	Expect={'DataFrame': ('df',('A','B','C')),
-		'meta': ('dict'),
-		'other': ('num','x>0'),
-		'A':('matelement','x>0'),
-		'G':('optional')
-		}
-	
-	var=pvl_tools.Parse(kwargs,Expect)
-	assert(1)	
-
-def test_optional_value_optional_provided():
-	dates = pd.date_range('20130101',periods=6)
-	df = pd.DataFrame(np.random.randn(6,4)+5,index=dates,columns=list('ABCD'))
-	
-	kwargs={'DataFrame': df,
-			'meta':{'one':11,'two':22},
-			'other':2,
-			'G':3}
-
-	Expect={'DataFrame': ('df',('A','B','C')),
-		'meta': ('dict'),
-		'other': ('num','x>0'),
-		'A':('matelement','x>0'),
-		'G':('optional')
-		}
-	
-	var=pvl_tools.Parse(kwargs,Expect)
-	assert(1)	
-
-def test_optional_value_optional_provided_logical_constraint():
-	dates = pd.date_range('20130101',periods=6)
-	df = pd.DataFrame(np.random.randn(6,4)+5,index=dates,columns=list('ABCD'))
-	
-	kwargs={'DataFrame': df,
-			'meta':{'one':11,'two':22},
-			'other':2,
-			'G':3}
-
-	Expect={'DataFrame': ('df',('A','B','C')),
-		'meta': ('dict'),
-		'other': ('num','x>0'),
-		'A':('matelement','x>0'),
-		'G':('optional','x>0')
-		}
-	
-	var=pvl_tools.Parse(kwargs,Expect)
-	assert(1)	
-
-def test_logical_constriant_non_vector():
-	print "fix this"
-	assert (False)
-def main():
-	unittest.main()
-
-if __name__ == '__main__':
-	main()