FM / python3.6

/usr/lib64/python3.6

Name	Size	Mode	Actions
asyncio/	-	0755	rm
collections/	-	0755	rm
concurrent/	-	0755	rm
config-3.6m-x86_64-linux-gnu/	-	0755	rm
ctypes/	-	0755	rm
curses/	-	0755	rm
dbm/	-	0755	rm
distutils/	-	0755	rm
email/	-	0755	rm
encodings/	-	0755	rm
ensurepip/	-	0755	rm
html/	-	0755	rm
http/	-	0755	rm
importlib/	-	0755	rm
json/	-	0755	rm
lib-dynload/	-	0755	rm
lib2to3/	-	0755	rm
logging/	-	0755	rm
multiprocessing/	-	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	8727	0644	edit dl rm
aifc.py	32454	0644	edit dl rm
antigravity.py	477	0644	edit dl rm
argparse.py	90372	0644	edit dl rm
ast.py	12166	0644	edit dl rm
asynchat.py	11328	0644	edit dl rm
asyncore.py	20159	0644	edit dl rm
base64.py	20388	0755	edit dl rm
bdb.py	23556	0644	edit dl rm
binhex.py	13954	0644	edit dl rm
bisect.py	2595	0644	edit dl rm
bz2.py	12478	0644	edit dl rm
calendar.py	23213	0644	edit dl rm
cgi.py	37219	0755	edit dl rm
cgitb.py	12018	0644	edit dl rm
chunk.py	5425	0644	edit dl rm
cmd.py	14860	0644	edit dl rm
code.py	10614	0644	edit dl rm
codecs.py	36276	0644	edit dl rm
codeop.py	5994	0644	edit dl rm
colorsys.py	4064	0644	edit dl rm
compileall.py	12125	0644	edit dl rm
configparser.py	53592	0644	edit dl rm
contextlib.py	13162	0644	edit dl rm
copy.py	8815	0644	edit dl rm
copyreg.py	7007	0644	edit dl rm
cProfile.py	5380	0755	edit dl rm
crypt.py	1864	0644	edit dl rm
csv.py	16180	0644	edit dl rm
datetime.py	82034	0644	edit dl rm
decimal.py	320	0644	edit dl rm
difflib.py	84377	0644	edit dl rm
dis.py	18132	0644	edit dl rm
doctest.py	104391	0644	edit dl rm
dummy_threading.py	2815	0644	edit dl rm
enum.py	33606	0644	edit dl rm
filecmp.py	9830	0644	edit dl rm
fileinput.py	14471	0644	edit dl rm
fnmatch.py	3166	0644	edit dl rm
formatter.py	15143	0644	edit dl rm
fractions.py	23639	0644	edit dl rm
ftplib.py	35617	0644	edit dl rm
functools.py	31346	0644	edit dl rm
genericpath.py	5028	0644	edit dl rm
getopt.py	7489	0644	edit dl rm
getpass.py	5994	0644	edit dl rm
gettext.py	21530	0644	edit dl rm
glob.py	5638	0644	edit dl rm
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hashlib.py	8799	0644	edit dl rm
heapq.py	22929	0644	edit dl rm
hmac.py	6381	0644	edit dl rm
imaplib.py	53464	0644	edit dl rm
imghdr.py	3795	0644	edit dl rm
imp.py	10669	0644	edit dl rm
inspect.py	116958	0644	edit dl rm
io.py	3517	0644	edit dl rm
ipaddress.py	77818	0644	edit dl rm
keyword.py	2219	0755	edit dl rm
linecache.py	5312	0644	edit dl rm
locale.py	77300	0644	edit dl rm
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macurl2path.py	2732	0644	edit dl rm
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numbers.py	10243	0644	edit dl rm
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os.py	37526	0644	edit dl rm
pathlib.py	46238	0644	edit dl rm
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pickle.py	55691	0644	edit dl rm
pickletools.py	91775	0644	edit dl rm
pipes.py	8916	0644	edit dl rm
pkgutil.py	21315	0644	edit dl rm
platform.py	47214	0755	edit dl rm
plistlib.py	32291	0644	edit dl rm
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pprint.py	20860	0644	edit dl rm
profile.py	22029	0755	edit dl rm
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pydoc.py	103501	0644	edit dl rm
py_compile.py	7181	0644	edit dl rm
queue.py	8780	0644	edit dl rm
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random.py	27442	0644	edit dl rm
re.py	15552	0644	edit dl rm
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rlcompleter.py	7097	0644	edit dl rm
runpy.py	11959	0644	edit dl rm
sched.py	6511	0644	edit dl rm
secrets.py	2038	0644	edit dl rm
selectors.py	19438	0644	edit dl rm
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signal.py	2123	0644	edit dl rm
site.py	21268	0644	edit dl rm
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socket.py	27443	0644	edit dl rm
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string.py	11795	0644	edit dl rm
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symbol.py	2119	0755	edit dl rm
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sysconfig.py	24876	0644	edit dl rm
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tarfile.py	111776	0755	edit dl rm
telnetlib.py	23136	0644	edit dl rm
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textwrap.py	19558	0644	edit dl rm
this.py	1003	0644	edit dl rm
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timeit.py	13342	0755	edit dl rm
token.py	3075	0644	edit dl rm
tokenize.py	29496	0644	edit dl rm
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types.py	8870	0644	edit dl rm
typing.py	80274	0644	edit dl rm
uu.py	6763	0755	edit dl rm
uuid.py	24020	0644	edit dl rm
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wave.py	17709	0644	edit dl rm
weakref.py	20466	0644	edit dl rm
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__future__.py	4841	0644	edit dl rm
__phello__.foo.py	64	0644	edit dl rm

Edit: /usr/lib64/python3.6/csv.py (16180B)

"""
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 collections import OrderedDict
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",
           "unix_dialect"]

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 = OrderedDict(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 = rowdict.keys() - 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):
        return self.writer.writerows(map(self._dict_to_list, rowdicts))

# 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 (r'(?P<delim>[^\w\n"\'])(?P<space> ?)(?P<quote>["\']).*?(?P=quote)(?P=delim)', # ,".*?",
                      r'(?:^|\n)(?P<quote>["\']).*?(?P=quote)(?P<delim>[^\w\n"\'])(?P<space> ?)',   #  ".*?",
                      r'(?P<delim>[^\w\n"\'])(?P<space> ?)(?P<quote>["\']).*?(?P=quote)(?:$|\n)',   # ,".*?"
                      r'(?:^|\n)(?P<quote>["\']).*?(?P=quote)(?:$|\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
        groupindex = regexp.groupindex
        for m in matches:
            n = groupindex['quote'] - 1
            key = m[n]
            if key:
                quotes[key] = quotes.get(key, 0) + 1
            try:
                n = 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 = 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: