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How to use isnamedtuple method in Pytest

Best Python code snippet using pytest

inspect_utils_test.py

Source:inspect_utils_test.py

...72    def test_fn():73      pass74    self.assertTrue(inspect_utils.islambda(lambda x: x))75    self.assertFalse(inspect_utils.islambda(test_fn))76  def test_isnamedtuple(self):77    nt = collections.namedtuple('TestNamedTuple', ['a', 'b'])78    class NotANamedTuple(tuple):79      pass80    self.assertTrue(inspect_utils.isnamedtuple(nt))81    self.assertFalse(inspect_utils.isnamedtuple(NotANamedTuple))82  def test_isnamedtuple_confounder(self):83    """This test highlights false positives when detecting named tuples."""84    class NamedTupleLike(tuple):85      _fields = ('a', 'b')86    self.assertTrue(inspect_utils.isnamedtuple(NamedTupleLike))87  def test_isnamedtuple_subclass(self):88    """This test highlights false positives when detecting named tuples."""89    class NamedTupleSubclass(collections.namedtuple('Test', ['a', 'b'])):90      pass91    self.assertTrue(inspect_utils.isnamedtuple(NamedTupleSubclass))92  def test_getnamespace_globals(self):93    ns = inspect_utils.getnamespace(factory)94    self.assertEqual(ns['free_function'], free_function)95  def test_getnamespace_hermetic(self):96    # Intentionally hiding the global function to make sure we don't overwrite97    # it in the global namespace.98    free_function = object()  # pylint:disable=redefined-outer-name99    def test_fn():100      return free_function101    ns = inspect_utils.getnamespace(test_fn)102    globs = six.get_function_globals(test_fn)103    self.assertTrue(ns['free_function'] is free_function)104    self.assertFalse(globs['free_function'] is free_function)105  def test_getnamespace_locals(self):...

csvtools.py

Source:csvtools.py

1from __future__ import absolute_import as _absimport, division as _division2import csv as _csv3import os as _os4from fractions import Fraction as _Fraction5from collections import namedtuple as _namedtuple6def _could_be_number(s, accept_fractions=False):7    try:8        n = eval(s)9        return isinstance(n, _Number)10    except:11        return False12def _as_number_if_possible(s, accept_fractions=True):13    """try to convert 's' to a number if it is possible"""14    if accept_fractions:15        if "/" in s:16            try:17                n = _Fraction("/".join(n.strip() for n in s.split("/")))18                return n19            except:20                return s21    try:22        n = int(s)23        return n24    except ValueError:25        try:26            n = float(s)27            return n28        except ValueError:29            s30    return s31def replace_non_alfa(s):32    TRANSLATION_STRING = '\x00\x01\x02\x03\x04\x05\x06\x07\x08\t\n\x0b\x0c\r\x0e\x0f\x10\x11\x12\x13\x14\x15\x16\x17\x18\x19\x1a\x1b\x1c\x1d\x1e\x1f !"#$%&\'__x+,__/0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\x7f\x80\x81\x82\x83\x84\x85\x86\x87\x88\x89\x8a\x8b\x8c\x8d\x8e\x8f\x90\x91\x92\x93\x94\x95\x96\x97\x98\x99\x9a\x9b\x9c\x9d\x9e\x9f\xa0\xa1\xa2\xa3\xa4\xa5\xa6\xa7\xa8\xa9\xaa\xab\xac\xad\xae\xaf\xb0\xb1\xb2\xb3\xb4\xb5\xb6\xb7\xb8\xb9\xba\xbb\xbc\xbd\xbe\xbf\xc0\xc1\xc2\xc3\xc4\xc5\xc6\xc7\xc8\xc9\xca\xcb\xcc\xcd\xce\xcf\xd0\xd1\xd2\xd3\xd4\xd5\xd6\xd7\xd8\xd9\xda\xdb\xdc\xdd\xde\xdf\xe0\xe1\xe2\xe3\xe4\xe5\xe6\xe7\xe8\xe9\xea\xeb\xec\xed\xee\xef\xf0\xf1\xf2\xf3\xf4\xf5\xf6\xf7\xf8\xf9\xfa\xfb\xfc\xfd\xfe\xff'33    return s.translate(TRANSLATION_STRING, '[]#:')34def _normalize_column_name(name):35    name = replace_non_alfa(name)36    if name and name[0] in '0123456789':37        name = 'n' + name38    name = name.strip().rstrip('_')39    return name if name else 'untitled'40def _treat_duplicates(columns):41    names = {}42    new_names = []43    for column in columns:44        if not column in names:45            names[column] = 146            new_name = column47        else:48            n = names[column]49            n += 150            names[column] = n51            new_name = "%s_%d" % (column, n)52        new_names.append(new_name)53    return new_names54def readcsv_numpy(csvfile):55    """56    Read CSV into a numpy array57    """58    import numpy59    return numpy.genfromtxt(csvfile, names=True, delimiter=',')60def readcsv(csvfile, rowname=None, transform_numbers=True, astuple=False, prefer_fractions=True, dialect='excel'):61    """62    read a CSV file into a namedtuple63    64    if the first collumn is all text: assume these are the column names65    mode: in some cases you might need to set mode='U' when reading66    files generated by excel in windows67    rowname: override the row name specified in the CSV file (if any)68    transform_numbers: convert strings to numbers if they can be converted69    prefer_fractions: the normal behaviour to treat strings like 3/4 is to treat70                      them as dates. If this is True, fractions will be prefered71    astuple: do not use namedtuples, use normal tuples instead72    """73    assert dialect in _csv.list_dialects()74    mode = "U"75    f = open(csvfile, mode)76    r = _csv.reader(f, dialect=dialect)77    try:78        firstrow = next(r)79    except:80        mode = mode + 'U'81        f = open(csvfile, mode + 'U')82        r = _csv.reader(f, dialect=dialect)83        first_row = next(r)84    attributes = {}85    if firstrow[0].startswith('#'):86        # the first row contains attributes87        f.close()88        f = open(csvfile, mode)89        attribute_line = f.readline()90        attrs = attribute_line[1:].split()91        for attr in attrs:92            key, value = attr.split(':')93            attributes[key] = value94        r = _csv.reader(f, dialect=dialect)95        firstrow = next(r)96    else:97        attrs = None98    if all(not _could_be_number(x) for x in firstrow) or first_row[0].startswith('#'):99        columns = firstrow100    else:101        raise TypeError("""102            Number-like cells found in the first-row. cannot assume column names103            To load simple data you dont need this utility so use normal csv module104            """)105    normalized_columns = [_normalize_column_name(col) for col in columns]106    columns = _treat_duplicates(normalized_columns)107    if attributes:108        a_rowname = attributes.get('rowname')109        rowname = rowname if rowname is not None else a_rowname110    rowname = rowname if rowname is not None else 'Row'111    Row = _namedtuple(rowname, ' '.join(columns))112    numcolumns = len(columns)113    rows = []114    for row in r:115        if transform_numbers:116            row = [_as_number_if_possible(cell, accept_fractions=prefer_fractions) for cell in row]117        if not astuple:118            if len(row) == numcolumns:119                rows.append(Row(*row))120            else:121                row.extend([''] * (numcolumns - len(row)))122                row = row[:numcolumns]123                rows.append(Row(*row))124        else:125            rows.append(row)126    return rows127def read(*args, **kws):128    import warnings129    warnings.warn("This function has been renamed to readcsv")130    return readcsv(*args, **kws)131def readcsv_tabs(csvfile, transform_numbers=True, as_tuple=False):132    """133    read a csv file which uses tabs instead of commas as column-divider134    """135    return read(csvfile, transform_numbers=transform_numbers, as_tuple=as_tuple, dialect='excel-tab')136def writecsv(namedtuples, outfile, column_names=None, write_row_name=False):137    """138    write a sequence of named tuples to outfile as CSV139    alternatively, you can also specify the column_names. in this case it140    is not necessary for the tuples to be be namedtuples141    """142    firstrow = namedtuples[0]143    isnamedtuple = hasattr(firstrow, '_fields')144    if isnamedtuple:145        column_names = firstrow._fields146    outfile = _os.path.splitext(outfile)[0] + '.csv'147    def parse_fractions(row):148        def parse_fraction(cell):149            if isinstance(cell, Fraction):150                return "0 %s" % str(cell)151            elif isinstance(cell, str) and "/" in cell:152                return '"%s"' % str(cell)153            return cell154        row = list(map(parse_fraction, row))155        return row156    f = open(outfile, 'wb')157    f_write = f.write158    w = _csv.writer(f)159    if isnamedtuple and write_row_name:160        try:161            rowname = firstrow.__doc__.split('(')[0] # <-- this is a hack! where is the name of a namedtuple??162        except AttributeError:  # maybe not a namedtuple in the end163            rowname = firstrow.__class__.__name__164        line = "# rowname:%s\n" % rowname165        f_write(line)166    if column_names:167        w.writerow(column_names)168    for row in namedtuples:169        try:170            w.writerow(row)171        except:172            w.writerow(tuple(row))173    f.close()174def _to_number(x, accept_fractions=True):175    if _could_be_number(x, accept_fractions=accept_fractions):176        if '.' in x or x in ('nan', 'inf', '-inf'):177            return float(x)178        else:179            try:180                return int(x)181            except:182                try:183                    return _Fraction(x)184                except:185                    return x186    else:187        return x188# class NamedTuples(list):189#     def __init__(self, column_names, row_name='_'):190#         self.factory = _namedtuple(row_name, column_names)191#         if isinstance(column_names, basestring):192#             column_names = [name.strip() for name in (column_names.split(',') if ',' in column_names else column_names.split())]193#         self.column_names = column_names194#     def append(self, *args, **keys):195#         list.append(self, self.factory(*args, **keys))196#     def writecsv(self, outfile):197#         writecsv(self, outfile, self.column_names)198#     @classmethod199#     def readcsv(self, csvfile):200#         rows = read(csvfile)201#         row_name = '_'202#         column_names = ' '.join(rows[0]._fields)203#         out = NamedTuples(row_name, column_names)204#         out.extend(rows)...

lambda_resource.py

Source:lambda_resource.py

...60    def __handler(exc, handler):61        return lambda f: excepts(exc, f, handler)62    @staticmethod63    def __multiple_items(result) -> bool:64        return isiterable(result) and not isinstance(result, dict) and not RestResource.__isnamedtuple(result)65    @staticmethod66    def __isnamedtuple(x):67        x_type = type(x)68        bases = x_type.__bases__69        if len(bases) != 1 or bases[0] != tuple:70            return False71        fields = getattr(x_type, '_fields', None)72        return isinstance(fields, tuple) and all(type(n) == str for n in fields)73    def _handle(self, event):74        safe_route = compose(75            self.__handler(Exception       , self.__internal_error),76            self.__handler(MarshmallowError, self.__json_error    )77        )(self.__route)78        result = safe_route(event)79        response = (80            result.as_json() if isinstance(result, HttpResponse) else...

utils.py

Source:utils.py

1def isnumber(x):2  return isinstance(x,int) or isinstance(x,float)3def istuple(x):4  return isinstance(x, tuple) and not isnamedtuple(x)5def isnamedtuple(x):6  return isinstance(x, tuple) and hasattr(x, '_asdict') and hasattr(x, '_fields')7def mktuple(*xs):8  return tuple(xs)9def decomment(file):10  lines, out, lastc, instr = file.splitlines(), [], '', False11  for line in lines: 12    outline = ''13    for c in line:14      if c in '"\'' and lastc != '\\': instr = not instr15      if c in '\\' and lastc == '\\': lastc = ''; continue16      if c in ';' and not instr: break17      outline += c18      lastc = c19    out.append(outline)...

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