Python types.append() Examples

def force_flatten(self):
        # force the struct or union to have a declaration that lists
        # directly all fields returned by enumfields(), flattening
        # nested anonymous structs/unions.
        names = []
        types = []
        bitsizes = []
        fldquals = []
        for name, type, bitsize, quals in self.enumfields():
            names.append(name)
            types.append(type)
            bitsizes.append(bitsize)
            fldquals.append(quals)
        self.fldnames = tuple(names)
        self.fldtypes = tuple(types)
        self.fldbitsize = tuple(bitsizes)
        self.fldquals = tuple(fldquals) 

def force_flatten(self):
        # force the struct or union to have a declaration that lists
        # directly all fields returned by enumfields(), flattening
        # nested anonymous structs/unions.
        names = []
        types = []
        bitsizes = []
        fldquals = []
        for name, type, bitsize, quals in self.enumfields():
            names.append(name)
            types.append(type)
            bitsizes.append(bitsize)
            fldquals.append(quals)
        self.fldnames = tuple(names)
        self.fldtypes = tuple(types)
        self.fldbitsize = tuple(bitsizes)
        self.fldquals = tuple(fldquals) 

def force_flatten(self):
        # force the struct or union to have a declaration that lists
        # directly all fields returned by enumfields(), flattening
        # nested anonymous structs/unions.
        names = []
        types = []
        bitsizes = []
        fldquals = []
        for name, type, bitsize, quals in self.enumfields():
            names.append(name)
            types.append(type)
            bitsizes.append(bitsize)
            fldquals.append(quals)
        self.fldnames = tuple(names)
        self.fldtypes = tuple(types)
        self.fldbitsize = tuple(bitsizes)
        self.fldquals = tuple(fldquals) 

def force_flatten(self):
        # force the struct or union to have a declaration that lists
        # directly all fields returned by enumfields(), flattening
        # nested anonymous structs/unions.
        names = []
        types = []
        bitsizes = []
        fldquals = []
        for name, type, bitsize, quals in self.enumfields():
            names.append(name)
            types.append(type)
            bitsizes.append(bitsize)
            fldquals.append(quals)
        self.fldnames = tuple(names)
        self.fldtypes = tuple(types)
        self.fldbitsize = tuple(bitsizes)
        self.fldquals = tuple(fldquals) 

def force_flatten(self):
        # force the struct or union to have a declaration that lists
        # directly all fields returned by enumfields(), flattening
        # nested anonymous structs/unions.
        names = []
        types = []
        bitsizes = []
        fldquals = []
        for name, type, bitsize, quals in self.enumfields():
            names.append(name)
            types.append(type)
            bitsizes.append(bitsize)
            fldquals.append(quals)
        self.fldnames = tuple(names)
        self.fldtypes = tuple(types)
        self.fldbitsize = tuple(bitsizes)
        self.fldquals = tuple(fldquals) 

def force_flatten(self):
        # force the struct or union to have a declaration that lists
        # directly all fields returned by enumfields(), flattening
        # nested anonymous structs/unions.
        names = []
        types = []
        bitsizes = []
        fldquals = []
        for name, type, bitsize, quals in self.enumfields():
            names.append(name)
            types.append(type)
            bitsizes.append(bitsize)
            fldquals.append(quals)
        self.fldnames = tuple(names)
        self.fldtypes = tuple(types)
        self.fldbitsize = tuple(bitsizes)
        self.fldquals = tuple(fldquals) 

def force_flatten(self):
        # force the struct or union to have a declaration that lists
        # directly all fields returned by enumfields(), flattening
        # nested anonymous structs/unions.
        names = []
        types = []
        bitsizes = []
        fldquals = []
        for name, type, bitsize, quals in self.enumfields():
            names.append(name)
            types.append(type)
            bitsizes.append(bitsize)
            fldquals.append(quals)
        self.fldnames = tuple(names)
        self.fldtypes = tuple(types)
        self.fldbitsize = tuple(bitsizes)
        self.fldquals = tuple(fldquals) 

def force_flatten(self):
        # force the struct or union to have a declaration that lists
        # directly all fields returned by enumfields(), flattening
        # nested anonymous structs/unions.
        names = []
        types = []
        bitsizes = []
        fldquals = []
        for name, type, bitsize, quals in self.enumfields():
            names.append(name)
            types.append(type)
            bitsizes.append(bitsize)
            fldquals.append(quals)
        self.fldnames = tuple(names)
        self.fldtypes = tuple(types)
        self.fldbitsize = tuple(bitsizes)
        self.fldquals = tuple(fldquals) 

def force_flatten(self):
        # force the struct or union to have a declaration that lists
        # directly all fields returned by enumfields(), flattening
        # nested anonymous structs/unions.
        names = []
        types = []
        bitsizes = []
        fldquals = []
        for name, type, bitsize, quals in self.enumfields():
            names.append(name)
            types.append(type)
            bitsizes.append(bitsize)
            fldquals.append(quals)
        self.fldnames = tuple(names)
        self.fldtypes = tuple(types)
        self.fldbitsize = tuple(bitsizes)
        self.fldquals = tuple(fldquals) 

def force_flatten(self):
        # force the struct or union to have a declaration that lists
        # directly all fields returned by enumfields(), flattening
        # nested anonymous structs/unions.
        names = []
        types = []
        bitsizes = []
        fldquals = []
        for name, type, bitsize, quals in self.enumfields():
            names.append(name)
            types.append(type)
            bitsizes.append(bitsize)
            fldquals.append(quals)
        self.fldnames = tuple(names)
        self.fldtypes = tuple(types)
        self.fldbitsize = tuple(bitsizes)
        self.fldquals = tuple(fldquals) 

def force_flatten(self):
        # force the struct or union to have a declaration that lists
        # directly all fields returned by enumfields(), flattening
        # nested anonymous structs/unions.
        names = []
        types = []
        bitsizes = []
        fldquals = []
        for name, type, bitsize, quals in self.enumfields():
            names.append(name)
            types.append(type)
            bitsizes.append(bitsize)
            fldquals.append(quals)
        self.fldnames = tuple(names)
        self.fldtypes = tuple(types)
        self.fldbitsize = tuple(bitsizes)
        self.fldquals = tuple(fldquals) 

def force_flatten(self):
        # force the struct or union to have a declaration that lists
        # directly all fields returned by enumfields(), flattening
        # nested anonymous structs/unions.
        names = []
        types = []
        bitsizes = []
        fldquals = []
        for name, type, bitsize, quals in self.enumfields():
            names.append(name)
            types.append(type)
            bitsizes.append(bitsize)
            fldquals.append(quals)
        self.fldnames = tuple(names)
        self.fldtypes = tuple(types)
        self.fldbitsize = tuple(bitsizes)
        self.fldquals = tuple(fldquals) 

def force_flatten(self):
        # force the struct or union to have a declaration that lists
        # directly all fields returned by enumfields(), flattening
        # nested anonymous structs/unions.
        names = []
        types = []
        bitsizes = []
        fldquals = []
        for name, type, bitsize, quals in self.enumfields():
            names.append(name)
            types.append(type)
            bitsizes.append(bitsize)
            fldquals.append(quals)
        self.fldnames = tuple(names)
        self.fldtypes = tuple(types)
        self.fldbitsize = tuple(bitsizes)
        self.fldquals = tuple(fldquals) 

def force_flatten(self):
        # force the struct or union to have a declaration that lists
        # directly all fields returned by enumfields(), flattening
        # nested anonymous structs/unions.
        names = []
        types = []
        bitsizes = []
        fldquals = []
        for name, type, bitsize, quals in self.enumfields():
            names.append(name)
            types.append(type)
            bitsizes.append(bitsize)
            fldquals.append(quals)
        self.fldnames = tuple(names)
        self.fldtypes = tuple(types)
        self.fldbitsize = tuple(bitsizes)
        self.fldquals = tuple(fldquals) 

def build_backend_type(self, ffi, finishlist):
        self.check_not_partial()
        finishlist.append(self)
        #
        return global_cache(self, ffi, 'new_%s_type' % self.kind,
                            self.get_official_name(), key=self) 

def build_backend_type(self, ffi, finishlist):
        result = self.result.get_cached_btype(ffi, finishlist)
        args = []
        for tp in self.args:
            args.append(tp.get_cached_btype(ffi, finishlist))
        abi_args = ()
        if self.abi == "__stdcall":
            if not self.ellipsis:    # __stdcall ignored for variadic funcs
                try:
                    abi_args = (ffi._backend.FFI_STDCALL,)
                except AttributeError:
                    pass
        return global_cache(self, ffi, 'new_function_type',
                            tuple(args), result, self.ellipsis, *abi_args) 

def __init__(self, args, result, ellipsis, abi=None):
        self.args = args
        self.result = result
        self.ellipsis = ellipsis
        self.abi = abi
        #
        reprargs = [arg._get_c_name() for arg in self.args]
        if self.ellipsis:
            reprargs.append('...')
        reprargs = reprargs or ['void']
        replace_with = self._base_pattern % (', '.join(reprargs),)
        if abi is not None:
            replace_with = replace_with[:1] + abi + ' ' + replace_with[1:]
        self.c_name_with_marker = (
            self.result.c_name_with_marker.replace('&', replace_with)) 

def build_backend_type(self, ffi, finishlist):
        result = self.result.get_cached_btype(ffi, finishlist)
        args = []
        for tp in self.args:
            args.append(tp.get_cached_btype(ffi, finishlist))
        abi_args = ()
        if self.abi == "__stdcall":
            if not self.ellipsis:    # __stdcall ignored for variadic funcs
                try:
                    abi_args = (ffi._backend.FFI_STDCALL,)
                except AttributeError:
                    pass
        return global_cache(self, ffi, 'new_function_type',
                            tuple(args), result, self.ellipsis, *abi_args) 

def build_backend_type(self, ffi, finishlist):
        result = self.result.get_cached_btype(ffi, finishlist)
        args = []
        for tp in self.args:
            args.append(tp.get_cached_btype(ffi, finishlist))
        abi_args = ()
        if self.abi == "__stdcall":
            if not self.ellipsis:    # __stdcall ignored for variadic funcs
                try:
                    abi_args = (ffi._backend.FFI_STDCALL,)
                except AttributeError:
                    pass
        return global_cache(self, ffi, 'new_function_type',
                            tuple(args), result, self.ellipsis, *abi_args) 

def __init__(self, args, result, ellipsis, abi=None):
        self.args = args
        self.result = result
        self.ellipsis = ellipsis
        self.abi = abi
        #
        reprargs = [arg._get_c_name() for arg in self.args]
        if self.ellipsis:
            reprargs.append('...')
        reprargs = reprargs or ['void']
        replace_with = self._base_pattern % (', '.join(reprargs),)
        if abi is not None:
            replace_with = replace_with[:1] + abi + ' ' + replace_with[1:]
        self.c_name_with_marker = (
            self.result.c_name_with_marker.replace('&', replace_with)) 

def build_backend_type(self, ffi, finishlist):
        self.check_not_partial()
        finishlist.append(self)
        #
        return global_cache(self, ffi, 'new_%s_type' % self.kind,
                            self.get_official_name(), key=self) 

def build_backend_type(self, ffi, finishlist):
        self.check_not_partial()
        finishlist.append(self)
        #
        return global_cache(self, ffi, 'new_%s_type' % self.kind,
                            self.get_official_name(), key=self) 

def __init__(self, args, result, ellipsis, abi=None):
        self.args = args
        self.result = result
        self.ellipsis = ellipsis
        self.abi = abi
        #
        reprargs = [arg._get_c_name() for arg in self.args]
        if self.ellipsis:
            reprargs.append('...')
        reprargs = reprargs or ['void']
        replace_with = self._base_pattern % (', '.join(reprargs),)
        if abi is not None:
            replace_with = replace_with[:1] + abi + ' ' + replace_with[1:]
        self.c_name_with_marker = (
            self.result.c_name_with_marker.replace('&', replace_with)) 

def csv2columns(csvFile, columns):
    """Given a CSV file and a comma-separated list of desired column names and
    types (name:type), return an array of vectors containing type-converted data.

    Type should be the name of string-to-val type-conversion function such as float, int, or str.
    If type is missing, then float conversion is assumed.
    """
    import csv
    names = []; types = []; cols = []
    for column in columns.split(','):
        if column.find(':') > 0:
            name, type = column.split(':')
        else:
            name = column; type = 'float'
        names.append(name.strip())
        types.append( eval(type.strip()) )  # get type conversion function from type string
        cols.append([])

    print csvFile
    for fields in csv.DictReader(urlopen(csvFile).readlines(), skipinitialspace=True):
        tmpColVals = []
        try:
            for i, type in enumerate(types): tmpColVals.append( type(fields[names[i]]) )
        except Exception, e:
            print "Got exception coercing values: %s" % e
            continue
        for i in range(len(types)): cols[i].append(tmpColVals[i]) 

def build_backend_type(self, ffi, finishlist):
        result = self.result.get_cached_btype(ffi, finishlist)
        args = []
        for tp in self.args:
            args.append(tp.get_cached_btype(ffi, finishlist))
        abi_args = ()
        if self.abi == "__stdcall":
            if not self.ellipsis:    # __stdcall ignored for variadic funcs
                try:
                    abi_args = (ffi._backend.FFI_STDCALL,)
                except AttributeError:
                    pass
        return global_cache(self, ffi, 'new_function_type',
                            tuple(args), result, self.ellipsis, *abi_args) 

def splitColumnSpec(s):
    """Split column spec 'label:integer[:style]' into its 2 or 3 parts."""
    items = s.split(':')
    n = len(items)
    if n < 2:
        die('plotlib: Bad column spec. %s' % s)
    elif n == 2:
        items.append(None)
    items[1] = int(items[1])
    return items 

def plotVtecAndJasonTracks(gtcFiles, outFile=None, names=None, makeFigure=True, show=False, **options):
    """Plot GAIM climate and assim VTEC versus JASON using at least two 'gc' files.
    First file is usually climate file, and rest are assim files.
    """
    ensureItems(options, {'title': 'GAIM vs. JASON for '+gtcFiles[0], \
                          'xlabel': 'Geographic Latitude (deg)', 'ylabel': 'VTEC (TECU)'})
    if 'show' in options:
        show = True
        del options['show']
    M.subplot(211)
    gtcFile = gtcFiles.pop(0)
    name = 'clim_'
    if names: name = names.pop(0)
    specs = [(gtcFile, 'latitude:2,jason:6,gim__:8,%s:13,iri__:10' % name)]
    name = 'assim'
    for i, gtcFile in enumerate(gtcFiles):
        label = name
        if len(gtcFiles) > 1: label += str(i+1)
        specs.append( (gtcFile, 'latitude:2,%s:13' % label) )
    plotColumns(specs, rmsDiffFrom='jason', floatFormat='%5.1f', **options)
    M.legend()
    
    M.subplot(212)
    options.update({'title': 'JASON Track Plot', 'xlabel': 'Longitude (deg)', 'ylabel': 'Latitude (deg)'})
    fields = N.array([map(floatOrMiss, line.split()) for line in open(gtcFiles[0], 'r')])
    lons = fields[:,2]; lats = fields[:,1]
    marksOnMap(lons, lats, show=show, **options)
    if outFile: M.savefig(outFile) 

def build_backend_type(self, ffi, finishlist):
        self.check_not_partial()
        finishlist.append(self)
        #
        return global_cache(self, ffi, 'new_%s_type' % self.kind,
                            self.get_official_name(), key=self) 

def build_backend_type(self, ffi, finishlist):
        self.check_not_partial()
        finishlist.append(self)
        #
        return global_cache(self, ffi, 'new_%s_type' % self.kind,
                            self.get_official_name(), key=self) 

def __init__(self, args, result, ellipsis, abi=None):
        self.args = args
        self.result = result
        self.ellipsis = ellipsis
        self.abi = abi
        #
        reprargs = [arg._get_c_name() for arg in self.args]
        if self.ellipsis:
            reprargs.append('...')
        reprargs = reprargs or ['void']
        replace_with = self._base_pattern % (', '.join(reprargs),)
        if abi is not None:
            replace_with = replace_with[:1] + abi + ' ' + replace_with[1:]
        self.c_name_with_marker = (
            self.result.c_name_with_marker.replace('&', replace_with))