def test_water_is_correct():
	watrec, watmean = get_sightings(filename,'water')
	assert watrec==2, 'Number of records for water is wrong'
	assert watmean==17, 'Mean for water is wrong'

def test_not_present():
    norec, nomean = get_sightings(filename, 'Not Present')
    assert norec == 0, 'Biosigniture not present'
    assert nomean==0, 'Mean is not present'

def test_anonymouse_is_correct():
	anirec, animean = get_sightings(filename, 'NotPresent')
	assert anirec == 0, 'Number of anonymous records is wrong'
	assert animean == 0 , 'Mean for anonymous animal rec is wrong'

def test_Mouse_is_correct():
	mouserec, mousemean = get_sightings(filename, 'Mouse')
	assert mouserec == 12, 'Mouse number wrong'
	assert mousemean == 1, 'Mouse mean wrong'

def test_owl_is_correct():
	owlrec, owlmean = get_sightings(filename, 'Owl')
	# assert test_statement message_if_test_is_false
	assert owlrec == 2, 'Number of records for owl is wrong'
	assert owlmean == 17#, 'Mean sightings for owl is wrong'

def test_nothing_is_correct():
        norec, nomean = get_sightings(filename, 'NotPresent')
        assert norec == 0, 'Biosignature missing should return zero records'
        assert nomean == 0, 'Biosignature missing should return zero mean'

def test_Muskox_is_correct():
    muskrec, muskmean = get_sightings(filename, 'Muskox')
    assert muskrec == 2, 'Number of records for Muskox is wrong'
    assert muskmean == 25.5, 'Mean sightings for Muskox is wrong'

def test_animal_not_present():
    animrec, animmean = get_sightings(filename, 'NotPresent')
    assert animrec == 0, 'Animal missing should return zero records'
    assert animmean == 0, 'Animal missing should return zero mean'

figFILE   = os.path.join(outDIR,'spp_fig.png')

# Set names of species to count
spp_names = ['Fox', 'Wolf', 'Grizzly', 'Wolverine']


# ------------------------------------------------------------------------
# Perform analysis 
# ------------------------------------------------------------------------

# Declare empty list to hold counts of records
spp_recs = []

# Get total number of records for each species
for spp in spp_names:
    totalrecs, meancount = get_sightings(dataFILE, spp)
    spp_recs.append(totalrecs)

print('spp_names')
print( spp_names )

print('spp_recs')
print( spp_recs )

print('[spp_names, spp_recs]')
print( [spp_names, spp_recs] )

print('np.transpose([spp_names, spp_recs])')
print( np.transpose([spp_names, spp_recs]) )

# ------------------------------------------------------------------------

fig_name = 'spp_fig.png'

# Set names of species to count
spp_names = ['Fox', 'Wolf', 'Grizzly', 'Wolverine']


# ------------------------------------------------------------------------
# Perform analysis 
# ------------------------------------------------------------------------

# Declare empty list to hold counts of records
spp_recs = []

# Get total number of records for each species
for spp in spp_names:
    totalrecs, meancount = get_sightings(data_dir + data_name, spp)
    spp_recs.append(totalrecs)

print spp_names
print spp_recs

# ------------------------------------------------------------------------
# Save results as table 
# ------------------------------------------------------------------------

# Put two lists into a pandas DataFrame
table = pd.DataFrame(np.array(zip(spp_names, spp_recs),
                 dtype=[('species', 'S12'), ('recs', int)]))

# Save DataFrame as csv
table.to_csv(results_dir + table_name, index=False)

def test_clay_is_corrrect():
    clayrec,claymean = get_sightings(filename,"Clay")
    assert clayrec==2, "number of records for clay is wrong"
    assert claymean==25.5, "clay mean is wrong"

def test_water_is_corrrect():
    watrec,watmean = get_sightings(filename,"Water")
    assert watrec==2, "number of records for water is wrong"
    assert watmean==17, "water mean is wrong"

def test_not_present():
    norec,nomean = get_sightings(filename, "not present")
    assert norec==0, "Biosig not present"
    assert nomean ==0, "mean is not present"

def test_pig_is_correct():
	pigrec, pigmean = get_sightings(filename, 'Pig')
	assert pigrec == 1, 'Number of records for Pig is wrong'
	assert pigmean == 4, 'Mean sightings for Pig is wrong'

def test_not_present():
	norec,nomean = get_sightings(file,'Not present')
	assert norec == 0, 'Biosignature not present, has zero recs.'
	assert nomean == 0, 'Mean is not present for missing Biosig.'

def test_cow_is_correct():
        cowrec, cowmean = get_sightings(filename, 'Cow')
        assert cowrec == 2, 'Number of records for Cow is wrong'
        assert cowmean == 17, 'Mean sightings for Cow is wrong'

def test_water():
	watrec,watmean = get_sightings(file,'Water')
	assert watrec == 2, 'Number of records for water is wrong.'
	assert watmean == 17, 'Mean for water is wrong'

def test_animal_case():
    animrec, animmean = get_sightings(filename, 'oWL')
    assert animrec == 2
    assert animmean == 17

def test_Clay():
        clayrec,claymean = get_sightings(file,'Clay')
        assert clayrec == 2, 'Number of records for clay is wrong.'
        assert claymean == 25.5, 'Mean for clay is wrong'

def test_muskox_is_correct():
	muskoxrec, muskoxmean = get_sightings(filename, 'Muskox')
	# assert test_statement message_if_test_is_false
	assert muskoxrec == 2, 'Number of records for muskox is wrong'
	assert muskoxmean == 25.5#, 'Mean sightings for muskox is wrong'