def test_math_identical_single_float_occuring_once(self):
list_1 = {2.0:1}
list_1a = (0.0, 0.0)
assert mod.get_variance_and_stddev(list_1, 2) == list_1a
assert mod.get_variance_and_stddev(list_1) == list_1a
list_2 = {2.5:1}
list_2a = (0.0, 0.0)
assert mod.get_variance_and_stddev(list_2, 2.5) == list_2a
assert mod.get_variance_and_stddev(list_2) == list_2a
def test_math_single_string_occurring_once(self):
list_1 = {'2':2}
list_1a = (0.0, 0.0)
assert mod.get_variance_and_stddev(list_1, 2) == list_1a
assert mod.get_variance_and_stddev(list_1) == list_1a
list_1 = {'2':'2'}
list_1a = (0.0, 0.0)
assert mod.get_variance_and_stddev(list_1, 2) == list_1a
assert mod.get_variance_and_stddev(list_1) == list_1a
def test_math_multiple_numbers_occuring_once(self):
list_1 = {2:1, 3:1, 4:1}
list_1a = ('0.67', '0.82')
var, stddev = mod.get_variance_and_stddev(list_1)
small_var = self._convert_float(var)
small_stddev = self._convert_float(stddev)
assert (small_var, small_stddev) == list_1a
list_2 = {2:1, 3:1, 9:1, 12:1, 13:1, 15:1,
17:1, 19:1, 22:1, 23:1, 25:1}
list_2a = ('53.88', '7.34')
var, stddev = mod.get_variance_and_stddev(list_2)
small_var = self._convert_float(var)
small_stddev = self._convert_float(stddev)
assert (small_var, small_stddev) == list_2a
def test_math_floats_multiple_floats_occuring_once(self):
list_1 = {2.0:1, 3.0:1, 4.0:1}
list_1a = ('0.67', '0.82')
var, stddev = mod.get_variance_and_stddev(list_1)
small_var = self._convert_float(var)
small_stddev = self._convert_float(stddev)
assert (small_var, small_stddev) == list_1a
def test_math_multiple_numbers_occurring_multiple_times(self):
list_4 = {2:10, 3:15, 9:10, 12:7, 13:4, 15:2,
17:1, 19:1, 22:1, 23:1, 25:1}
list_4a = ('37.11', '6.09')
var, stddev = mod.get_variance_and_stddev(list_4)
small_var = self._convert_float(var)
small_stddev = self._convert_float(stddev)
assert (small_var, small_stddev) == list_4a
def test_math_002(self):
assert mod.get_variance_and_stddev(self.list_2, 2) == self.list_2a
assert mod.get_variance_and_stddev(self.list_2) == self.list_2a
def test_math_001(self):
assert mod.get_variance_and_stddev(self.list_1) == self.list_1a
def test_math_003(self):
var, stddev = mod.get_variance_and_stddev(self.list_3)
small_var = self._convert_float(var)
small_stddev = self._convert_float(stddev)
assert ((small_var, small_stddev) == self.list_3a)
def test_math_002(self):
assert (mod.get_variance_and_stddev(self.list_2, 2) == self.list_2a)
assert (mod.get_variance_and_stddev(self.list_2) == self.list_2a)
def test_math_001(self):
assert (mod.get_variance_and_stddev(self.list_1) == self.list_1a)
def test_math_ignoring_bad_value(self):
list_1 = {2:2, 3:'foo'}
list_1a = (0.0, 0.0)
assert mod.get_variance_and_stddev(list_1, 2) == list_1a
assert mod.get_variance_and_stddev(list_1) == list_1a
def analyze_fields(self,
field_number=None,
field_types_overrides=None,
max_freq_number=None):
""" Determines types, names, and characteristics of fields.
Inputs:
- field_number - if None, then analyzes all fields, otherwise
analyzes just the single field (based on zero-offset)
Outputs:
- populates public class structures
"""
self.max_freq_number = max_freq_number
if self.verbose:
print 'Field Analysis Progress: '
for f_no in range(self.field_cnt):
if field_number is not None: # optional analysis of a single field
if f_no != field_number:
continue
if self.verbose:
print ' Analyzing field: %d' % f_no
self.field_names[f_no] = miscer.get_field_names(
self.filename, self.dialect, f_no)
if max_freq_number is None:
if field_number is None:
max_items = MAX_FREQ_MULTI_COL_DEFAULT
else:
max_items = MAX_FREQ_SINGLE_COL_DEFAULT
else:
max_items = max_freq_number
(self.field_freqs[f_no], self.field_trunc[f_no],
self.field_rows_invalid[f_no]) = miscer.get_field_freq(
self.filename, self.dialect, f_no, max_items)
self.field_types[f_no] = typer.get_field_type(
self.field_freqs[f_no])
if field_types_overrides:
for col_no in field_types_overrides:
self.field_types[col_no] = field_types_overrides[col_no]
self.field_max[f_no] = miscer.get_max(self.field_types[f_no],
self.field_freqs[f_no])
self.field_min[f_no] = miscer.get_min(self.field_types[f_no],
self.field_freqs[f_no])
if self.field_types[f_no] == 'string':
self.field_case[f_no] = miscer.get_case(
self.field_types[f_no], self.field_freqs[f_no])
self.field_min_length[f_no] = miscer.get_min_length(
self.field_freqs[f_no])
self.field_max_length[f_no] = miscer.get_max_length(
self.field_freqs[f_no])
self.field_mean_length[f_no] = mather.get_mean_length(
self.field_freqs[f_no])
else:
self.field_case[f_no] = None
self.field_min_length[f_no] = None
self.field_max_length[f_no] = None
self.field_mean_length[f_no] = None
if self.field_types[f_no] in ['integer', 'float']:
self.field_mean[f_no] = mather.get_mean(self.field_freqs[f_no])
self.field_median[f_no] = mather.GetDictMedian().run(
self.field_freqs[f_no])
(self.variance[f_no], self.stddev[f_no]) \
= mather.get_variance_and_stddev(self.field_freqs[f_no],
self.field_mean[f_no])
else:
self.field_mean[f_no] = None
self.field_median[f_no] = None
self.variance[f_no] = None
self.stddev[f_no] = None
def test_math_single_float_occurring_multiple_times(self):
list_1 = {2.5:2}
list_1a = (0.0, 0.0)
assert mod.get_variance_and_stddev(list_1, 2.5) == list_1a
assert mod.get_variance_and_stddev(list_1) == list_1a
def test_math_empty_list(self):
list_1 = {}
list_1a = (None, None)
assert mod.get_variance_and_stddev(list_1) == list_1a
def test_math_003(self):
var, stddev = mod.get_variance_and_stddev(self.list_3)
small_var = self._convert_float(var)
small_stddev = self._convert_float(stddev)
assert (small_var, small_stddev) == self.list_3a
def test_math_004(self):
var, stddev = mod.get_variance_and_stddev(self.list_4)
small_var = self._convert_float(var)
small_stddev = self._convert_float(stddev)
#pprint(locals())
assert (small_var, small_stddev) == self.list_4a
def test_math_004(self):
var, stddev = mod.get_variance_and_stddev(self.list_4)
small_var = self._convert_float(var)
small_stddev = self._convert_float(stddev)
#pprint(locals())
assert ((small_var, small_stddev) == self.list_4a)
def analyze_fields(self,
field_number=None,
field_types_overrides=None,
max_freq_number=None):
""" Determines types, names, and characteristics of fields.
Inputs:
- field_number - if None, then analyzes all fields, otherwise
analyzes just the single field (based on zero-offset)
Outputs:
- populates public class structures
"""
self.max_freq_number = max_freq_number
if self.verbose:
print 'Field Analysis Progress: '
for f_no in range(self.field_cnt):
if field_number is not None: # optional analysis of a single field
if f_no != field_number:
continue
if self.verbose:
print ' Analyzing field: %d' % f_no
self.field_names[f_no] = miscer.get_field_names(self.filename,
self.dialect,
f_no)
if max_freq_number is None:
if field_number is None:
max_items = MAX_FREQ_MULTI_COL_DEFAULT
else:
max_items = MAX_FREQ_SINGLE_COL_DEFAULT
else:
max_items = max_freq_number
(self.field_freqs[f_no],
self.field_trunc[f_no],
self.field_rows_invalid[f_no]) = miscer.get_field_freq(self.filename,
self.dialect,
f_no,
max_items)
self.field_types[f_no] = typer.get_field_type(self.field_freqs[f_no])
if field_types_overrides:
for col_no in field_types_overrides:
self.field_types[col_no] = field_types_overrides[col_no]
self.field_max[f_no] = miscer.get_max(self.field_types[f_no],
self.field_freqs[f_no])
self.field_min[f_no] = miscer.get_min(self.field_types[f_no],
self.field_freqs[f_no])
if self.field_types[f_no] == 'string':
self.field_case[f_no] = miscer.get_case(self.field_types[f_no],
self.field_freqs[f_no])
self.field_min_length[f_no] = miscer.get_min_length(self.field_freqs[f_no])
self.field_max_length[f_no] = miscer.get_max_length(self.field_freqs[f_no])
self.field_mean_length[f_no] = mather.get_mean_length(self.field_freqs[f_no])
else:
self.field_case[f_no] = None
self.field_min_length[f_no] = None
self.field_max_length[f_no] = None
self.field_mean_length[f_no] = None
if self.field_types[f_no] in ['integer','float']:
self.field_mean[f_no] = mather.get_mean(self.field_freqs[f_no])
self.field_median[f_no] = mather.GetDictMedian().run(self.field_freqs[f_no])
(self.variance[f_no], self.stddev[f_no]) \
= mather.get_variance_and_stddev(self.field_freqs[f_no],
self.field_mean[f_no])
else:
self.field_mean[f_no] = None
self.field_median[f_no] = None
self.variance[f_no] = None
self.stddev[f_no] = None
def test_math_ignoring_bad_key(self):
list_1 = {2:2, 'bar':2}
list_1a = (0.0, 0.0)
assert mod.get_variance_and_stddev(list_1, 2) == list_1a
assert mod.get_variance_and_stddev(list_1) == list_1a
