def test_min_from_limit_max_sample_d1f_ok():
assert pr.min_from_limit_max(12, 15) == 7
def test_min_from_limit_max_float_float(limit, maximum):
minimum = pr.min_from_limit_max(limit, maximum)
assert isinstance(minimum, (float, int))
def test_min_from_limit_max_sample_one_ok():
assert pr.min_from_limit_max(-1, 2) == -6
def test_min_from_limit_max_sample_two_ok():
assert pr.min_from_limit_max(5, 8) == 0
def parse(text: str):
"""Parse the DSL contained in text."""
if not text.strip():
return example_default()
has_index_collision = False
has_index_order_mismatch = False
info_queue, some_axis_maps = [], []
axis_values_rows_req_string: str = unsafe(text)
axis_values_rows_req = [
row.strip() for row in axis_values_rows_req_string.split(ROW_SEP)
if row.strip()
]
n_axis_rows_req = len(axis_values_rows_req)
for n, row_string in enumerate(
axis_values_rows_req[:NEEDED_NUMBER_OF_AXIS_MAX]
): # Was: array_slice(axis_values_rows_req, 0, NEEDED_NUMBER_OF_AXIS_MAX)
axis_values = default_folded_values(
) if ";FOLDED;" in row_string else default_linear_values()
axis_values_cand = row_string.split(REC_SEP)
print()
print(f'__{"FOLDED" if ";FOLDED;" in row_string else "NO_FOLD"}__')
print(f"has axis_values[{len(axis_values)}]({axis_values})")
if len(axis_values) >= len(axis_values_cand):
kks = default_keys()
for i, v in enumerate(axis_values_cand):
if v != '':
be_v = compact_value(v)
print(
f"DEBUG:: [{i}]( == {kks[i]}): ({axis_values[i]}) --> ({be_v})"
)
axis_values[i] = be_v
else:
print(
f"DEBUG:: [{i}]( == {kks[i]}): ({axis_values[i]}) kept ({axis_values[i]})"
)
if len(axis_values) > len(axis_values_cand):
kks = default_keys()
for i, v in enumerate(axis_values[len(axis_values_cand):],
start=len(axis_values_cand)):
print(
f"DEBUG:: [{i}]( == {kks[i]}): ({axis_values[i]}) untouched ({axis_values[i]})"
)
print(
f"has axis candidate[{len(axis_values_cand)}]({axis_values_cand})")
axis_map = dict(zip(default_keys(), axis_values))
print(f"... axis map is ({axis_map})")
numeric_axis_types = ('LINEAR', 'FOLDED')
if axis_map['AXIS_INDEX'] == '':
print()
print(f"has index idea({axis_map['AXIS_INDEX']}) is False?")
print(f"... axis map is ({axis_map})")
axis_map['AXIS_INDEX'] = n
i_cfc = axis_map['AXIS_INDEX']
else:
print()
print(f"has index idea({axis_map['AXIS_INDEX']}) is True")
index_cand = str(axis_map['AXIS_INDEX'])
if is_numeric(index_cand) and float(index_cand) == float(
int(float(index_cand))):
print(f"is_numeric({index_cand}) is True")
i_cfc = str(maybe_int(index_cand))
axis_map['AXIS_INDEX'] = int(i_cfc)
if index_cand != i_cfc: # Was !== in PHP
info_queue.append(
f"NOK index ({index_cand}) requested, accepted as ({i_cfc})"
)
else:
info_queue.append(
f" OK index ({index_cand}) requested, accepted as ({i_cfc})"
)
else:
print(f"is_numeric({index_cand}) is False")
i_cfc = str(n)
info_queue.append(
f"NOK invalid index ({index_cand}) requested, accepted per parsing order as ({i_cfc})"
)
if axis_map['AXIS_TYPE'] in numeric_axis_types:
if axis_map['AXIS_TYPE'] == 'LINEAR':
if is_numeric(axis_map['AXIS_LIMIT']) and is_numeric(
axis_map['AXIS_MAX']):
axis_map['AXIS_MIN'] = maybe_int(
pr.min_from_limit_max(axis_map['AXIS_LIMIT'],
axis_map['AXIS_MAX']))
else:
info_queue.append(
f"NOK limit({axis_map['AXIS_LIMIT']}) and max({axis_map['AXIS_MAX']}) not both numeric, ignored {axis_map['AXIS_TYPE'].lower()} axis at index ({i_cfc})"
)
if axis_map['AXIS_VALUE'] != NULL_STR_REP and not is_numeric(
axis_map['AXIS_VALUE']):
axis_map['AXIS_VALUE'] = NULL_STR_REP
else: # axis_map['AXIS_TYPE'] == 'FOLDED':
print()
print(f"... claim of FOLDED is True? Axis map is ({axis_map})")
if is_numeric(axis_map['AXIS_LIMIT']) and is_numeric(
axis_map['AXIS_MAX']):
axis_map['AXIS_MIN'] = maybe_int(
pr.min_from_limit_max(axis_map['AXIS_LIMIT'],
axis_map['AXIS_MAX']))
axis_map['AXIS_LIMIT_FOLDED'] = maybe_int(
pr.limit_folded_from_limit_max(axis_map['AXIS_LIMIT'],
axis_map['AXIS_MAX']))
axis_map['AXIS_MIN_FOLDED'] = maybe_int(
pr.min_folded_from_limit_max(axis_map['AXIS_LIMIT'],
axis_map['AXIS_MAX']))
else:
info_queue.append(
f"NOK limit({axis_map['AXIS_LIMIT']}) and max({axis_map['AXIS_MAX']}) not both numeric, ignored folded axis at index ({i_cfc})"
)
some_axis_maps.append(axis_map)
n_axis_rows = len(some_axis_maps)
if n_axis_rows_req > n_axis_rows:
info_queue.append(
f'{n_axis_rows_req} dimensions requested, but only {n_axis_rows} accepted. Maximum is {NEEDED_NUMBER_OF_AXIS_MAX}'
)
best_effort_re_order_map = {}
collect_index_cand_list = []
for x, data in enumerate(some_axis_maps):
index_cand = data['AXIS_INDEX']
if is_numeric(index_cand):
i_cfc = int(index_cand)
else:
i_cfc = x
collect_index_cand_list.append(i_cfc)
if not is_numeric(
index_cand
) or i_cfc != index_cand or index_cand < 0 or index_cand >= n_axis_rows:
has_index_collision = True
conflict_reason = 'NO_INTEGER'
if i_cfc != index_cand:
conflict_reason = 'DC_INTEGER'
if is_numeric(index_cand) and index_cand < 0:
conflict_reason = 'LT_ZERO'
elif is_numeric(index_cand) and index_cand >= n_axis_rows:
conflict_reason = 'GT_NROW'
info_queue.append(
f'Conflicting index rules. Failing candidate is ({index_cand}), reason is {conflict_reason}'
)
some_axis_maps[x]['AXIS_INDEX'] = x
if index_cand != x:
has_index_order_mismatch = True
info_queue.append(
f'Index positions not ordered. Misplaced candidate is {index_cand}, found at {x}'
)
best_effort_re_order_map[index_cand] = data
collect_index_cand_set = set(collect_index_cand_list)
if len(collect_index_cand_set) != len(collect_index_cand_list):
has_index_collision = True
hist = collections.Counter(collect_index_cand_list)
blame_list = []
for xx, nn in hist.items():
if nn != 1:
blame_list.append(xx)
blame_list.sort()
info_queue.append(
f'Conflicting index positions. Failing candidate/s is/are [{", ".join(str(x) for x in blame_list)}], reason is NONUNIQUE_INDEX'
)
if not has_index_collision and has_index_order_mismatch:
some_axis_maps = []
for k, data in sorted(best_effort_re_order_map.items()):
some_axis_maps.append(data)
"""
$normalizedInputDataRows = array();
foreach($someAxisMaps as $x => $data) {
$axisValues = array_values($data);
$normalizedInputDataRows[] = implode(";",$axisValues);
}
//DEBUG echo '<pre>ReAssembledRows:'."\n".print_r($normalizedInputDataRows,True).'</pre>';
$normalizedInputDataString = implode("\n",$normalizedInputDataRows);
//DEBUG echo '<pre>ReAssembledNormalizedInput:'."\n".print_r($normalizedInputDataString,True).'</pre>';
echo 'AxisSpecTest: '."\n";
echo '<form style="display:inline;" method="post" action="'.$_SERVER['PHP_SELF'].'">'."\n";
echo '<textarea style="font-sice:small;" cols="80" rows="16" name="AXIS_SPEC_ROWS">'.$normalizedInputDataString.'</textarea>'."\n";
echo '<input type="submit" name="Subme" value="parse" />'."\n";
echo '</form>'.'<br />'."\n";
echo '[<a href="'.$_SERVER['PHP_SELF'].'">RESET</a>] to some default to get started.<br />'."\n";
//echo 'Implicit Keys: '.implode(';',$axisDefaultKeys).'<br />'."\n";
echo '<pre>';
echo 'Testing Module: '.$_SERVER['PHP_SELF']."\n";
$infoQueue[] = 'TestInput: AXIS_SPEC_ROWS=<pre>'."\n".$axisValuesRowsReqString.'</pre>'."\n";
echo ' TestOutput[0]:'."\n";
echo '$someAxisMaps='."\n";
//DEBUG echo print_r($someAxisMaps,True);
echo '</pre>';
echo '<table style="width:75%;"><tr><th>Laufd.Nr.</th><th>Name</th><th>Type</th><th>Min</th><th>Limit</th><th>Max</th><th>LimitFolded</th><th>MinFolded</th><th>Value</th><th>Unit</th></tr>'."\n";
foreach($someAxisMaps as $i => $data) {
$displayRow = array_values($data);
echo '<tr><td>';
echo implode('</td><td>',$displayRow);
echo '</td></tr>';
}
echo '</table>'."\n";
if($infoQueue) {
echo '<h2>Info:</h2>';
echo '<ul><li>';
echo implode('</li><li>',$infoQueue);
echo '</li></ul>';
}
echo '</body>'."\n";
echo '</html>'."\n";
"""
return some_axis_maps, info_queue