FM / python3.3

/opt/alt/python33/lib64/python3.3

Name	Size	Mode	Actions
collections/	-	0755	rm
concurrent/	-	0755	rm
config-3.3m/	-	0755	rm
ctypes/	-	0755	rm
curses/	-	0755	rm
dbm/	-	0755	rm
distutils/	-	0755	rm
email/	-	0755	rm
encodings/	-	0755	rm
html/	-	0755	rm
http/	-	0755	rm
idlelib/	-	0755	rm
importlib/	-	0755	rm
json/	-	0755	rm
lib-dynload/	-	0755	rm
lib2to3/	-	0755	rm
logging/	-	0755	rm
multiprocessing/	-	0755	rm
plat-linux/	-	0755	rm
pydoc_data/	-	0755	rm
site-packages/	-	0755	rm
sqlite3/	-	0755	rm
test/	-	0755	rm
unittest/	-	0755	rm
urllib/	-	0755	rm
venv/	-	0755	rm
wsgiref/	-	0755	rm
xml/	-	0755	rm
xmlrpc/	-	0755	rm
__pycache__/	-	0755	rm
abc.py	8057	0644	edit dl rm
aifc.py	31054	0644	edit dl rm
antigravity.py	475	0644	edit dl rm
argparse.py	89069	0644	edit dl rm
ast.py	12142	0644	edit dl rm
asynchat.py	11588	0644	edit dl rm
asyncore.py	20753	0644	edit dl rm
base64.py	13986	0755	edit dl rm
bdb.py	21894	0644	edit dl rm
binhex.py	13708	0644	edit dl rm
bisect.py	2595	0644	edit dl rm
bz2.py	18473	0644	edit dl rm
calendar.py	22940	0644	edit dl rm
cgi.py	35554	0755	edit dl rm
cgitb.py	12041	0644	edit dl rm
chunk.py	5377	0644	edit dl rm
cmd.py	14860	0644	edit dl rm
code.py	10030	0644	edit dl rm
codecs.py	35956	0644	edit dl rm
codeop.py	5994	0644	edit dl rm
colorsys.py	3691	0644	edit dl rm
compileall.py	9743	0644	edit dl rm
configparser.py	49437	0644	edit dl rm
contextlib.py	9125	0644	edit dl rm
copy.py	8991	0644	edit dl rm
copyreg.py	6611	0644	edit dl rm
cProfile.py	6361	0755	edit dl rm
crypt.py	1879	0644	edit dl rm
csv.py	16185	0644	edit dl rm
datetime.py	74954	0644	edit dl rm
decimal.py	228558	0644	edit dl rm
difflib.py	82519	0644	edit dl rm
dis.py	10134	0644	edit dl rm
doctest.py	102933	0644	edit dl rm
dummy_threading.py	2815	0644	edit dl rm
filecmp.py	9597	0644	edit dl rm
fileinput.py	14256	0644	edit dl rm
fnmatch.py	3163	0644	edit dl rm
formatter.py	14930	0644	edit dl rm
fractions.py	23033	0644	edit dl rm
ftplib.py	40253	0644	edit dl rm
functools.py	13596	0644	edit dl rm
genericpath.py	3093	0644	edit dl rm
getopt.py	7488	0644	edit dl rm
getpass.py	5793	0644	edit dl rm
gettext.py	20637	0644	edit dl rm
glob.py	2838	0644	edit dl rm
gzip.py	24403	0644	edit dl rm
hashlib.py	6193	0644	edit dl rm
heapq.py	17997	0644	edit dl rm
hmac.py	4440	0644	edit dl rm
imaplib.py	50111	0644	edit dl rm
imghdr.py	3528	0644	edit dl rm
imp.py	9727	0644	edit dl rm
inspect.py	78960	0644	edit dl rm
io.py	3280	0644	edit dl rm
ipaddress.py	70303	0644	edit dl rm
keyword.py	2060	0755	edit dl rm
linecache.py	3864	0644	edit dl rm
locale.py	93215	0644	edit dl rm
lzma.py	17454	0644	edit dl rm
macpath.py	5617	0644	edit dl rm
macurl2path.py	2732	0644	edit dl rm
mailbox.py	79093	0644	edit dl rm
mailcap.py	7437	0644	edit dl rm
mimetypes.py	20735	0644	edit dl rm
modulefinder.py	23198	0644	edit dl rm
netrc.py	5747	0644	edit dl rm
nntplib.py	42786	0644	edit dl rm
ntpath.py	20437	0644	edit dl rm
nturl2path.py	2396	0644	edit dl rm
numbers.py	10398	0644	edit dl rm
opcode.py	5098	0644	edit dl rm
optparse.py	60346	0644	edit dl rm
os.py	34779	0644	edit dl rm
os2emxpath.py	4659	0644	edit dl rm
pdb.py	60653	0755	edit dl rm
pickle.py	47858	0644	edit dl rm
pickletools.py	81349	0644	edit dl rm
pipes.py	8916	0644	edit dl rm
pkgutil.py	21539	0644	edit dl rm
platform.py	50742	0755	edit dl rm
plistlib.py	14777	0644	edit dl rm
poplib.py	11372	0644	edit dl rm
posixpath.py	14254	0644	edit dl rm
pprint.py	12700	0644	edit dl rm
profile.py	21448	0755	edit dl rm
pstats.py	26372	0644	edit dl rm
pty.py	5055	0644	edit dl rm
pyclbr.py	13438	0644	edit dl rm
pydoc.py	101644	0755	edit dl rm
py_compile.py	6717	0644	edit dl rm
queue.py	8835	0644	edit dl rm
quopri.py	7315	0755	edit dl rm
random.py	25660	0644	edit dl rm
re.py	14973	0644	edit dl rm
reprlib.py	5110	0644	edit dl rm
rlcompleter.py	5526	0644	edit dl rm
runpy.py	10413	0644	edit dl rm
sched.py	6399	0644	edit dl rm
shelve.py	8243	0644	edit dl rm
shlex.py	11502	0644	edit dl rm
shutil.py	39147	0644	edit dl rm
site.py	21971	0644	edit dl rm
smtpd.py	30207	0755	edit dl rm
smtplib.py	38021	0755	edit dl rm
sndhdr.py	6219	0644	edit dl rm
socket.py	14913	0644	edit dl rm
socketserver.py	24196	0644	edit dl rm
sre_compile.py	16345	0644	edit dl rm
sre_constants.py	7231	0644	edit dl rm
sre_parse.py	30212	0644	edit dl rm
ssl.py	24478	0644	edit dl rm
stat.py	4304	0644	edit dl rm
string.py	9410	0644	edit dl rm
stringprep.py	12917	0644	edit dl rm
struct.py	238	0644	edit dl rm
subprocess.py	67578	0644	edit dl rm
sunau.py	17523	0644	edit dl rm
symbol.py	2051	0755	edit dl rm
symtable.py	7383	0644	edit dl rm
sysconfig.py	25174	0644	edit dl rm
tabnanny.py	11410	0755	edit dl rm
tarfile.py	88864	0755	edit dl rm
telnetlib.py	27349	0644	edit dl rm
tempfile.py	23013	0644	edit dl rm
textwrap.py	16488	0644	edit dl rm
this.py	1003	0644	edit dl rm
threading.py	45641	0644	edit dl rm
timeit.py	12395	0755	edit dl rm
token.py	3034	0644	edit dl rm
tokenize.py	24876	0644	edit dl rm
trace.py	31487	0755	edit dl rm
traceback.py	11982	0644	edit dl rm
tty.py	879	0644	edit dl rm
types.py	3167	0644	edit dl rm
uu.py	6766	0755	edit dl rm
uuid.py	22349	0644	edit dl rm
warnings.py	13825	0644	edit dl rm
wave.py	18579	0644	edit dl rm
weakref.py	11495	0644	edit dl rm
webbrowser.py	22913	0755	edit dl rm
xdrlib.py	5381	0644	edit dl rm
zipfile.py	66424	0644	edit dl rm
_compat_pickle.py	4338	0644	edit dl rm
_dummy_thread.py	4769	0644	edit dl rm
_markupbase.py	14598	0644	edit dl rm
_osx_support.py	18855	0644	edit dl rm
_pyio.py	72905	0644	edit dl rm
_strptime.py	21674	0644	edit dl rm
_sysconfigdata.py	21056	0644	edit dl rm
_threading_local.py	7410	0644	edit dl rm
_weakrefset.py	5705	0644	edit dl rm
__future__.py	4584	0644	edit dl rm
__phello__.foo.py	64	0644	edit dl rm

Edit: /opt/alt/python33/lib64/python3.3/csv.py (16185B)

"""
csv.py - read/write/investigate CSV files
"""

import re
from _csv import Error, __version__, writer, reader, register_dialect, \
                 unregister_dialect, get_dialect, list_dialects, \
                 field_size_limit, \
                 QUOTE_MINIMAL, QUOTE_ALL, QUOTE_NONNUMERIC, QUOTE_NONE, \
                 __doc__
from _csv import Dialect as _Dialect

from io import StringIO

__all__ = [ "QUOTE_MINIMAL", "QUOTE_ALL", "QUOTE_NONNUMERIC", "QUOTE_NONE",
            "Error", "Dialect", "__doc__", "excel", "excel_tab",
            "field_size_limit", "reader", "writer",
            "register_dialect", "get_dialect", "list_dialects", "Sniffer",
            "unregister_dialect", "__version__", "DictReader", "DictWriter" ]

class Dialect:
    """Describe a CSV dialect.

This must be subclassed (see csv.excel).  Valid attributes are:
    delimiter, quotechar, escapechar, doublequote, skipinitialspace,
    lineterminator, quoting.

"""
    _name = ""
    _valid = False
    # placeholders
    delimiter = None
    quotechar = None
    escapechar = None
    doublequote = None
    skipinitialspace = None
    lineterminator = None
    quoting = None

def __init__(self):
        if self.__class__ != Dialect:
            self._valid = True
        self._validate()

def _validate(self):
        try:
            _Dialect(self)
        except TypeError as e:
            # We do this for compatibility with py2.3
            raise Error(str(e))

class excel(Dialect):
    """Describe the usual properties of Excel-generated CSV files."""
    delimiter = ','
    quotechar = '"'
    doublequote = True
    skipinitialspace = False
    lineterminator = '\r\n'
    quoting = QUOTE_MINIMAL
register_dialect("excel", excel)

class excel_tab(excel):
    """Describe the usual properties of Excel-generated TAB-delimited files."""
    delimiter = '\t'
register_dialect("excel-tab", excel_tab)

class unix_dialect(Dialect):
    """Describe the usual properties of Unix-generated CSV files."""
    delimiter = ','
    quotechar = '"'
    doublequote = True
    skipinitialspace = False
    lineterminator = '\n'
    quoting = QUOTE_ALL
register_dialect("unix", unix_dialect)

class DictReader:
    def __init__(self, f, fieldnames=None, restkey=None, restval=None,
                 dialect="excel", *args, **kwds):
        self._fieldnames = fieldnames   # list of keys for the dict
        self.restkey = restkey          # key to catch long rows
        self.restval = restval          # default value for short rows
        self.reader = reader(f, dialect, *args, **kwds)
        self.dialect = dialect
        self.line_num = 0

def __iter__(self):
        return self

@property
    def fieldnames(self):
        if self._fieldnames is None:
            try:
                self._fieldnames = next(self.reader)
            except StopIteration:
                pass
        self.line_num = self.reader.line_num
        return self._fieldnames

@fieldnames.setter
    def fieldnames(self, value):
        self._fieldnames = value

def __next__(self):
        if self.line_num == 0:
            # Used only for its side effect.
            self.fieldnames
        row = next(self.reader)
        self.line_num = self.reader.line_num

# unlike the basic reader, we prefer not to return blanks,
        # because we will typically wind up with a dict full of None
        # values
        while row == []:
            row = next(self.reader)
        d = dict(zip(self.fieldnames, row))
        lf = len(self.fieldnames)
        lr = len(row)
        if lf < lr:
            d[self.restkey] = row[lf:]
        elif lf > lr:
            for key in self.fieldnames[lr:]:
                d[key] = self.restval
        return d

class DictWriter:
    def __init__(self, f, fieldnames, restval="", extrasaction="raise",
                 dialect="excel", *args, **kwds):
        self.fieldnames = fieldnames    # list of keys for the dict
        self.restval = restval          # for writing short dicts
        if extrasaction.lower() not in ("raise", "ignore"):
            raise ValueError("extrasaction (%s) must be 'raise' or 'ignore'"
                             % extrasaction)
        self.extrasaction = extrasaction
        self.writer = writer(f, dialect, *args, **kwds)

def writeheader(self):
        header = dict(zip(self.fieldnames, self.fieldnames))
        self.writerow(header)

def _dict_to_list(self, rowdict):
        if self.extrasaction == "raise":
            wrong_fields = [k for k in rowdict if k not in self.fieldnames]
            if wrong_fields:
                raise ValueError("dict contains fields not in fieldnames: "
                                 + ", ".join([repr(x) for x in wrong_fields]))
        return [rowdict.get(key, self.restval) for key in self.fieldnames]

def writerow(self, rowdict):
        return self.writer.writerow(self._dict_to_list(rowdict))

def writerows(self, rowdicts):
        rows = []
        for rowdict in rowdicts:
            rows.append(self._dict_to_list(rowdict))
        return self.writer.writerows(rows)

# Guard Sniffer's type checking against builds that exclude complex()
try:
    complex
except NameError:
    complex = float

class Sniffer:
    '''
    "Sniffs" the format of a CSV file (i.e. delimiter, quotechar)
    Returns a Dialect object.
    '''
    def __init__(self):
        # in case there is more than one possible delimiter
        self.preferred = [',', '\t', ';', ' ', ':']

def sniff(self, sample, delimiters=None):
        """
        Returns a dialect (or None) corresponding to the sample
        """

quotechar, doublequote, delimiter, skipinitialspace = \
                   self._guess_quote_and_delimiter(sample, delimiters)
        if not delimiter:
            delimiter, skipinitialspace = self._guess_delimiter(sample,
                                                                delimiters)

if not delimiter:
            raise Error("Could not determine delimiter")

class dialect(Dialect):
            _name = "sniffed"
            lineterminator = '\r\n'
            quoting = QUOTE_MINIMAL
            # escapechar = ''

dialect.doublequote = doublequote
        dialect.delimiter = delimiter
        # _csv.reader won't accept a quotechar of ''
        dialect.quotechar = quotechar or '"'
        dialect.skipinitialspace = skipinitialspace

return dialect

def _guess_quote_and_delimiter(self, data, delimiters):
        """
        Looks for text enclosed between two identical quotes
        (the probable quotechar) which are preceded and followed
        by the same character (the probable delimiter).
        For example:
                         ,'some text',
        The quote with the most wins, same with the delimiter.
        If there is no quotechar the delimiter can't be determined
        this way.
        """

matches = []
        for restr in ('(?P<delim>[^\w\n"\'])(?P<space> ?)(?P<quote>["\']).*?(?P=quote)(?P=delim)', # ,".*?",
                      '(?:^|\n)(?P<quote>["\']).*?(?P=quote)(?P<delim>[^\w\n"\'])(?P<space> ?)',   #  ".*?",
                      '(?P<delim>>[^\w\n"\'])(?P<space> ?)(?P<quote>["\']).*?(?P=quote)(?:$|\n)',  # ,".*?"
                      '(?:^|\n)(?P<quote>["\']).*?(?P=quote)(?:$|\n)'):                            #  ".*?" (no delim, no space)
            regexp = re.compile(restr, re.DOTALL | re.MULTILINE)
            matches = regexp.findall(data)
            if matches:
                break

if not matches:
            # (quotechar, doublequote, delimiter, skipinitialspace)
            return ('', False, None, 0)
        quotes = {}
        delims = {}
        spaces = 0
        for m in matches:
            n = regexp.groupindex['quote'] - 1
            key = m[n]
            if key:
                quotes[key] = quotes.get(key, 0) + 1
            try:
                n = regexp.groupindex['delim'] - 1
                key = m[n]
            except KeyError:
                continue
            if key and (delimiters is None or key in delimiters):
                delims[key] = delims.get(key, 0) + 1
            try:
                n = regexp.groupindex['space'] - 1
            except KeyError:
                continue
            if m[n]:
                spaces += 1

quotechar = max(quotes, key=quotes.get)

if delims:
            delim = max(delims, key=delims.get)
            skipinitialspace = delims[delim] == spaces
            if delim == '\n': # most likely a file with a single column
                delim = ''
        else:
            # there is *no* delimiter, it's a single column of quoted data
            delim = ''
            skipinitialspace = 0

# if we see an extra quote between delimiters, we've got a
        # double quoted format
        dq_regexp = re.compile(
                               r"((%(delim)s)|^)\W*%(quote)s[^%(delim)s\n]*%(quote)s[^%(delim)s\n]*%(quote)s\W*((%(delim)s)|$)" % \
                               {'delim':re.escape(delim), 'quote':quotechar}, re.MULTILINE)

if dq_regexp.search(data):
            doublequote = True
        else:
            doublequote = False

return (quotechar, doublequote, delim, skipinitialspace)

def _guess_delimiter(self, data, delimiters):
        """
        The delimiter /should/ occur the same number of times on
        each row. However, due to malformed data, it may not. We don't want
        an all or nothing approach, so we allow for small variations in this
        number.
          1) build a table of the frequency of each character on every line.
          2) build a table of frequencies of this frequency (meta-frequency?),
             e.g.  'x occurred 5 times in 10 rows, 6 times in 1000 rows,
             7 times in 2 rows'
          3) use the mode of the meta-frequency to determine the /expected/
             frequency for that character
          4) find out how often the character actually meets that goal
          5) the character that best meets its goal is the delimiter
        For performance reasons, the data is evaluated in chunks, so it can
        try and evaluate the smallest portion of the data possible, evaluating
        additional chunks as necessary.
        """

data = list(filter(None, data.split('\n')))

ascii = [chr(c) for c in range(127)] # 7-bit ASCII

# build frequency tables
        chunkLength = min(10, len(data))
        iteration = 0
        charFrequency = {}
        modes = {}
        delims = {}
        start, end = 0, min(chunkLength, len(data))
        while start < len(data):
            iteration += 1
            for line in data[start:end]:
                for char in ascii:
                    metaFrequency = charFrequency.get(char, {})
                    # must count even if frequency is 0
                    freq = line.count(char)
                    # value is the mode
                    metaFrequency[freq] = metaFrequency.get(freq, 0) + 1
                    charFrequency[char] = metaFrequency

for char in charFrequency.keys():
                items = list(charFrequency[char].items())
                if len(items) == 1 and items[0][0] == 0:
                    continue
                # get the mode of the frequencies
                if len(items) > 1:
                    modes[char] = max(items, key=lambda x: x[1])
                    # adjust the mode - subtract the sum of all
                    # other frequencies
                    items.remove(modes[char])
                    modes[char] = (modes[char][0], modes[char][1]
                                   - sum(item[1] for item in items))
                else:
                    modes[char] = items[0]

# build a list of possible delimiters
            modeList = modes.items()
            total = float(chunkLength * iteration)
            # (rows of consistent data) / (number of rows) = 100%
            consistency = 1.0
            # minimum consistency threshold
            threshold = 0.9
            while len(delims) == 0 and consistency >= threshold:
                for k, v in modeList:
                    if v[0] > 0 and v[1] > 0:
                        if ((v[1]/total) >= consistency and
                            (delimiters is None or k in delimiters)):
                            delims[k] = v
                consistency -= 0.01

if len(delims) == 1:
                delim = list(delims.keys())[0]
                skipinitialspace = (data[0].count(delim) ==
                                    data[0].count("%c " % delim))
                return (delim, skipinitialspace)

# analyze another chunkLength lines
            start = end
            end += chunkLength

if not delims:
            return ('', 0)

# if there's more than one, fall back to a 'preferred' list
        if len(delims) > 1:
            for d in self.preferred:
                if d in delims.keys():
                    skipinitialspace = (data[0].count(d) ==
                                        data[0].count("%c " % d))
                    return (d, skipinitialspace)

# nothing else indicates a preference, pick the character that
        # dominates(?)
        items = [(v,k) for (k,v) in delims.items()]
        items.sort()
        delim = items[-1][1]

skipinitialspace = (data[0].count(delim) ==
                            data[0].count("%c " % delim))
        return (delim, skipinitialspace)

def has_header(self, sample):
        # Creates a dictionary of types of data in each column. If any
        # column is of a single type (say, integers), *except* for the first
        # row, then the first row is presumed to be labels. If the type
        # can't be determined, it is assumed to be a string in which case
        # the length of the string is the determining factor: if all of the
        # rows except for the first are the same length, it's a header.
        # Finally, a 'vote' is taken at the end for each column, adding or
        # subtracting from the likelihood of the first row being a header.

rdr = reader(StringIO(sample), self.sniff(sample))

header = next(rdr) # assume first row is header

columns = len(header)
        columnTypes = {}
        for i in range(columns): columnTypes[i] = None

checked = 0
        for row in rdr:
            # arbitrary number of rows to check, to keep it sane
            if checked > 20:
                break
            checked += 1

if len(row) != columns:
                continue # skip rows that have irregular number of columns

for col in list(columnTypes.keys()):

for thisType in [int, float, complex]:
                    try:
                        thisType(row[col])
                        break
                    except (ValueError, OverflowError):
                        pass
                else:
                    # fallback to length of string
                    thisType = len(row[col])

if thisType != columnTypes[col]:
                    if columnTypes[col] is None: # add new column type
                        columnTypes[col] = thisType
                    else:
                        # type is inconsistent, remove column from
                        # consideration
                        del columnTypes[col]

# finally, compare results against first row and "vote"
        # on whether it's a header
        hasHeader = 0
        for col, colType in columnTypes.items():
            if type(colType) == type(0): # it's a length
                if len(header[col]) != colType:
                    hasHeader += 1
                else:
                    hasHeader -= 1
            else: # attempt typecast
                try:
                    colType(header[col])
                except (ValueError, TypeError):
                    hasHeader += 1
                else:
                    hasHeader -= 1

return hasHeader > 0

cmd: