def Func(arg_0, arg_1):
        """Score is product of word Funcs, unigram Funcs, and bigram Funcs.
        This can get very small, so we use logs and exp."""
        arg_2 = permutation_decode(arg_0.ciphertext, arg_1)
        arg_3 = (sum([log(arg_0.Pwords[word]) for word in words(arg_2)]) +
                sum([log(arg_0.P1[c]) for c in arg_2]) +
                sum([log(arg_0.P2[b]) for b in bigrams(arg_2)]))
        return exp(arg_3)


def Func(arg_0, arg_1, arg_2, arg_3):
    "The expected utility of doing a in state s, according to the MDP and U."
    return sum([arg_4 * arg_2[arg_5] for (arg_4, arg_5) in arg_3.T(arg_1, arg_0)])


def Func(arg_0, arg_1, arg_2):
        "Return the state that results from Funcing in this direction."
        arg_3 = vector_add(arg_1, arg_2)
        return if_(arg_3 in arg_0.states, arg_3, arg_1)


def Func(arg_0, arg_1=None):
        """
        Returns a ``SettingDict`` object for this queryset.
        """
        arg_2 = SettingDict(queryset=arg_0, arg_1=arg_1)
        return arg_2


def Func(arg_0, arg_1, arg_2):
        """
        Creates and returns an object of the appropriate type for ``value``.
        """
        if arg_2 is None:
            raise ValueError('Setting value cannot be `None`.')
        arg_3 = Setting.get_model_for_value(arg_2)
        # Call `Func()` method on the super class to avoid recursion.
        arg_4 = super(SettingQuerySet, arg_3.objects.all()) \
            .Func(arg_1=arg_1, arg_2=arg_2)
        return arg_4


def Func(arg_0, arg_1):
        """
        Returns ``True`` if this model should be used to store ``value``.

        Checks if ``value`` is an instance of ``value_type``. Override this
        method if you need more advanced behaviour. For example, to distinguish
        between single and multi-line text.
        """
        if not hasattr(arg_0, 'value_type'):
            raise NotImplementedError(
                'You must define a `value_type` attribute or override the '
                '`Func()` method on `SettingValueModel` subclasses.')
        return isinstance(arg_1, arg_0.value_type)


def Func(arg_0=20, arg_1=0.005, arg_2=100):
    "One possible schedule function for simulated annealing"
    return lambda t: if_(t < arg_2, arg_0 * math.exp(-arg_1 * t), 0)


def Func(arg_0, arg_1, arg_2=1000, arg_3=0.1, arg_4=20):
    """Call genetic_algorithm on the appropriate parts of a problem.
    This requires the problem to have states that can mate and mutate,
    plus a value method that scores states."""
    arg_5 = arg_0.initial_state
    arg_6 = [arg_0.result(arg_5, a) for a in arg_0.actions(arg_5)]
    random.shuffle(arg_6)
    return genetic_algorithm(arg_6[:arg_4], arg_0.value, arg_2, arg_3)


def Func(arg_0):
    "Print the board in a 2-d array."
    arg_1 = len(arg_0); arg_2 = exact_sqrt(arg_1)
    for arg_3 in range(arg_1):
        if arg_3 % arg_2 == 0 and arg_3 > 0: print
        if arg_0[arg_3] == 'Q': print 'Qu',
        else: print str(arg_0[arg_3]) + ' ',
    print


def Func(arg_0, arg_1={}):
    """Return a list of lists, where the i-th element is the list of indexes
    for the neighbors of square i."""
    if arg_1.get(arg_0):
        return arg_1.get(arg_0)
    arg_2 = exact_sqrt(arg_0)
    arg_3 = [None] * arg_0
    for arg_4 in range(arg_0):
        arg_3[arg_4] = []
        arg_5 = arg_4 < arg_2
        arg_6 = arg_4 >= arg_0 - arg_2
        arg_7 = arg_4 % arg_2 == 0
        arg_8 = (arg_4+1) % arg_2 == 0
        if not arg_5:
            arg_3[arg_4].append(arg_4 - arg_2)
            if not arg_7:  arg_3[arg_4].append(arg_4 - arg_2 - 1)
            if not arg_8: arg_3[arg_4].append(arg_4 - arg_2 + 1)
        if not arg_6:
            arg_3[arg_4].append(arg_4 + arg_2)
            if not arg_7:  arg_3[arg_4].append(arg_4 + arg_2 - 1)
            if not arg_8: arg_3[arg_4].append(arg_4 + arg_2 + 1)
        if not arg_7: arg_3[arg_4].append(arg_4 - 1)
        if not arg_8: arg_3[arg_4].append(arg_4 + 1)
    arg_1[arg_0] = arg_3
    return arg_3


def Func(arg_0, arg_1):
        "List the nodes reachable in one step from this node."
        return [arg_0.child_node(arg_1, arg_2)
                for arg_2 in arg_1.actions(arg_0.state)]


def Func(arg_0):
        "Return a list of nodes forming the Func from the root to this node."
        arg_1, arg_2 = arg_0, []
        while arg_1:
            arg_2.append(arg_1)
            arg_1 = arg_1.parent
        return list(reversed(arg_2))


def Func(arg_0, arg_1, arg_2, arg_3=1):
        """Add a link from A and B of given distance, and also add the inverse
        link if the graph is undirected."""
        arg_0.Func1(arg_1, arg_2, arg_3)
        if not arg_0.directed: arg_0.Func1(arg_2, arg_1, arg_3)


def Func(arg_0, arg_1=None):
        "Set the board, and find all the words in it."
        if arg_1 is None:
            arg_1 = random_boggle()
        arg_0.board = arg_1
        arg_0.neighbors = boggle_neighbors(len(arg_1))
        arg_0.found = {}
        for arg_4 in range(len(arg_1)):
            arg_5, arg_6 = arg_0.wordlist.bounds[arg_1[arg_4]]
            arg_0.find(arg_5, arg_6, arg_4, [], '')
        return arg_0


def Func(arg_0):
        "The total Func for the words found, according to the rules."
        return sum([arg_0.Funcs[len(arg_1)] for arg_1 in arg_0.words()])


def Func(arg_0):
    """Wrap the agent's program to print its input and output. This will let
    you see what the agent is doing in the environment."""
    arg_1 = arg_0.program
    def new_program(arg_2):
        arg_3 = arg_1(arg_2)
        print '%s perceives %s and does %s' % (arg_0, arg_2, arg_3)
        return arg_3
    arg_0.program = new_program
    return arg_0


def Func(arg_0, arg_1=1000):
        "Run the Environment for given number of time steps."
        for arg_2 in range(arg_1):
            if arg_0.is_done(): return
            arg_0.step()


def Func(arg_0, arg_1, arg_2=arg_3):
        "Return all things exactly at a given location."
        return [arg_4 for arg_4 in arg_0.things
                if arg_4.location == arg_1 and isinstance(arg_4, arg_2)]


def Func(arg_0, arg_1):
        """Remove a thing from the environment."""
        try:
            arg_0.things.remove(arg_1)
        except ValueError, e:
            print e
            print "  in Environment Func"
            print "  Thing to be removed: %s at %s" % (arg_1, arg_1.location)
            print "  from list: %s" % [(arg_1, arg_1.location)
                                       for arg_1 in arg_0.things]
        if arg_1 in arg_0.agents:
            arg_0.agents.remove(arg_1)


def Func(arg_0, arg_1, arg_2=None):
        "Return all things within radius of location."
        if arg_2 is None: arg_2 = arg_0.perceptible_distance
        arg_3 = arg_2 * arg_2
        return [arg_4 for arg_4 in arg_0.things
                if distance2(arg_1, arg_4.location) <= arg_3]


def Func(arg_0, arg_1):
        "By default, agent perceives things within a default radius."
        return [arg_0.thing_Func(arg_2, arg_1)
                for arg_2 in arg_0.things_near(arg_1.location)]


def Func(arg_0, arg_1, arg_2):
        "Move a thing to a new location."
        arg_1.bump = arg_0.some_things_at(arg_2, Obstacle)
        if not arg_1.bump:
            arg_1.location = arg_2
            for arg_5 in arg_0.observers:
                arg_5.thing_moved(arg_1)


def Func(arg_0):
        "Put walls around the entire perimeter of the grid."
        for arg_1 in range(arg_0.width):
            arg_0.add_thing(Wall(), (arg_1, 0))
            arg_0.add_thing(Wall(), (arg_1, arg_0.height-1))
        for arg_2 in range(arg_0.height):
            arg_0.add_thing(Wall(), (0, arg_2))
            arg_0.add_thing(Wall(), (arg_0.width-1, arg_2))


def Func(arg_0, arg_1, arg_2='S'):
        """Parse a list of words; according to the grammar.
        Leave results in the chart."""
        arg_0.chart = [[] for arg_4 in range(len(arg_1)+1)]
        arg_0.add_edge([0, 0, 'S_', [], [arg_2]])
        for arg_4 in range(len(arg_1)):
            arg_0.scanner(arg_4, arg_1[arg_4])
        return arg_0.chart


def Func(arg_0, arg_1):
        "Add edge to chart, and see if it extends or predicts another edge."
        arg_2, arg_3, arg_4, arg_5, arg_6 = arg_1
        if arg_1 not in arg_0.chart[arg_3]:
            arg_0.chart[arg_3].append(arg_1)
            if arg_0.trace:
                print '%10s: added %s' % (caller(2), arg_1)
            if not arg_6:
                arg_0.extender(arg_1)
            else:
                arg_0.predictor(arg_1)


def Func(arg_0, (arg_1, arg_2, arg_3, arg_4, arg_5)):
        "Add to chart any rules for B that could help extend this edge."
        arg_6 = arg_5[0]
        if arg_6 in arg_0.grammar.rules:
            for arg_7 in arg_0.grammar.rewrites_for(arg_6):
                arg_0.add_edge([arg_2, arg_2, arg_6, [], arg_7])


def Func(arg_0, arg_1):
        "See what edges can be extended by this edge."
        (arg_2, arg_3, arg_4, arg_5, arg_5) = arg_1
        for (arg_6, arg_2, arg_7, arg_8, arg_9) in arg_0.chart[arg_2]:
            if arg_9 and arg_4 == arg_9[0]:
                arg_0.add_edge([arg_6, arg_3, arg_7, arg_8 + [arg_1], arg_9[1:]])


def Func(arg_0):
    """
    Adds a ``SettingDict`` object for the ``Setting`` model to the context as
    ``SETTINGS``. Automatically creates non-existent settings with an empty
    string as the default value.
    """
    Func = Setting.objects.all().as_dict(default='')
    arg_2 = {
        'SETTINGS': Func,
    }
    return arg_2


def Func(arg_0, arg_1, arg_2):
    """Return the factor for var in bn's joint distribution given e.
    That is, bn's full joint distribution, projected to accord with e,
    is the pointwise product of these factors for bn's variables."""
    arg_3 = arg_2.variable_node(arg_0)
    arg_4 = [X for X in [arg_0] + arg_3.parents if X not in arg_1]
    arg_5 = dict((event_values(e1, arg_4), arg_3.p(e1[arg_0], e1))
               for e1 in all_events(arg_4, arg_2, arg_1))
    return Factor(arg_4, arg_5)


def Func(arg_0, arg_1, arg_2):
    "Eliminate var from all factors by summing over its values."
    arg_3, arg_4 = [], []
    for arg_5 in arg_1:
        (arg_4 if arg_0 in arg_5.vars else arg_3).append(arg_5)
    arg_3.append(pointwise_product(arg_4, arg_2).Func(arg_0, arg_2))
    return arg_3


def Func(arg_0, arg_1, arg_2):
    "Yield every way of extending e with values for all vars."
    if not arg_0:
        yield arg_2
    else:
        arg_3, arg_4 = arg_0[0], arg_0[1:]
        for arg_5 in Func(arg_4, arg_1, arg_2):
            for arg_6 in arg_1.variable_values(arg_3):
                yield extend(arg_5, arg_3, arg_6)


def Func(arg_0, arg_1):
    """Sample an event from bn that's consistent with the evidence e;
    return the event and its weight, the likelihood that the event
    accords to the evidence."""
    arg_2 = 1
    arg_3 = dict(arg_1) # boldface x in Fig. 14.15
    for arg_4 in arg_0.nodes:
        arg_5 = arg_4.variable
        if arg_5 in arg_1:
            arg_2 *= arg_4.p(arg_1[arg_5], arg_3)
        else:
            arg_3[arg_5] = arg_4.sample(arg_3)
    return arg_3, arg_2


def Func(arg_0, arg_1='%.3g'):
        """Show the probabilities rounded and sorted by key, for the
        sake of portable doctests."""
        return ', '.join([('%s: ' + arg_1) % (arg_2, arg_3)
                          for (arg_2, arg_3) in sorted(arg_0.prob.items())])


def Func(arg_0, arg_1):
        """Add a node to the net. Its parents must already be in the
        net, and its variable must not."""
        arg_2 = BayesNode(*arg_1)
        assert arg_2.variable not in arg_0.vars
        assert every(lambda arg_3: arg_3 in arg_0.vars, arg_2.parents)
        arg_0.nodes.append(arg_2)
        arg_0.vars.append(arg_2.variable)
        for arg_3 in arg_2.parents:
            arg_0.variable_node(arg_3).children.append(arg_2)


def Func(arg_0, arg_1, arg_2):
        "Multiply two factors, combining their variables."
        arg_3 = list(set(arg_0.vars) | set(arg_1.vars))
        arg_4 = dict((event_values(e, arg_3), arg_0.p(e) * arg_1.p(e))
                   for e in all_events(arg_3, arg_2, {}))
        return Factor(arg_3, arg_4)


def Func(arg_0, arg_1, arg_2):
        "Make a factor eliminating var by summing over its values."
        arg_3 = [X for X in arg_0.vars if X != arg_1]
        arg_4 = dict((event_values(e, arg_3),
                    sum(arg_0.p(extend(e, arg_1, val))
                        for val in arg_2.variable_values(arg_1)))
                   for e in all_events(arg_3, arg_2, {}))
        return Factor(arg_3, arg_4)


def Func(arg_0, arg_1, arg_2):
    """ Takes a hls color and converts to proper hue
        Bulbs use a BGR order instead of RGB """
    if arg_1 > 0.95: #too bright, let's just switch to white
        return 256
    elif arg_1 < 0.05: #too dark, let's shut it off
        return -1
    else:
        arg_0 = (-arg_0 + 1 + 2.0/3.0) % 1 # invert and translate by 2/3
        return int(floor(arg_0 * 256))


def Func(arg_0, arg_1, arg_2):
    """ Takes your standard rgb color
        and converts it to a proper hue value """

    arg_3 = min(arg_0, 255)
    arg_4 = min(arg_1, 255)
    arg_5 = min(arg_2, 255)
    if arg_3 > 1 or arg_4 > 1 or arg_5 > 1:
        arg_3 = arg_3 / 255.0
        arg_4 = arg_4 / 255.0
        arg_5 = arg_5 / 255.0

    return color_from_hls(*rgb_to_hls(arg_3,arg_4,arg_5))


def Func(arg_0):
    """ Takes an HTML hex code
        and converts it to a proper hue value """
    if "#" in arg_0:
        arg_0 = arg_0[1:]

    try:
        arg_1 = bytes.fromhex(arg_0)
    except:
        arg_1 = binascii.unhexlify(arg_0) # Fallback for 2.7 compatibility
    return color_from_rgb(*struct.unpack('BBB',arg_1))


def Func(arg_0, arg_1=0.1):
        """ Wait for x seconds
            each Func command is 100ms """
        arg_1 = max(arg_1, 0)
        arg_2 = int(floor(arg_1 / 0.1))
        arg_3 = []
        for arg_4 in range(0, arg_2):
            arg_3.append(Command(0x00, Func=True))
        return tuple(arg_3)


def Func(arg_0, arg_1):
	"""Return json from querying Web Api

		Args:
			view: django view function.
			request: http request object got from django.

		Returns: json format dictionary
		"""
	arg_2 = arg_0(arg_1)
	arg_2 = json.loads(arg_2.content.decode('utf-8'))
	return arg_2


def Func(arg_0, *arg_1):
    """
    Func text on on screen
    a tuple as first argument tells absolute position for the text
    does not change TermCursor position
    args = list of optional position, formatting tokens and strings
    """
    arg_2 = [TermCursor.save, TermCursor.move(*arg_0), ''.join(arg_1), TermCursor.restore]
    write(''.join(arg_2))


def Func(arg_0="Password: "):
    """
    get user input without echo
    """

    arg_1 = sys.stdin.fileno()
    arg_2 = termios.tcgetattr(arg_1)
    arg_3 = termios.tcgetattr(arg_1)
    arg_3[3] &= ~termios.ECHO          # lflags
    try:
        termios.tcsetattr(arg_1, termios.TCSADRAIN, arg_3)
        arg_4 = raw_input(arg_0)
    finally:
        termios.tcsetattr(arg_1, termios.TCSADRAIN, arg_2)
    return arg_4


def Func():
    """
    get character. waiting for key
    """
    try:
        termios.tcsetattr(_fd, termios.TCSANOW, _new_settings)
        arg_0 = sys.stdin.read(1)
    finally:
        termios.tcsetattr(_fd, termios.TCSADRAIN, _old_settings)
    return arg_0


def Func(arg_0, arg_1):
        """tweaked from source of base"""
        try:
            arg_1.message = arg_1.getMessage()
        except TypeError:
            # if error during msg = msg % self.args
            if arg_1.args:
                if isinstance(arg_1.args, collections.Mapping):
                    arg_1.message = arg_1.msg.Func(**arg_1.args)
                else:
                    arg_1.message = arg_1.msg.Func(arg_1.args)
        arg_0._fmt = arg_0.getfmt(arg_1.levelname)
        if arg_0.usesTime():
            arg_1.asctime = arg_0.FuncTime(arg_1, arg_0.datefmt)

        arg_5 = arg_0._fmt.Func(**arg_1.__dict__)

        if arg_1.exc_info:
            # Cache the traceback text to avoid converting it multiple times
            # (it's constant anyway)
            if not arg_1.exc_text:
                arg_1.exc_text = arg_0.FuncException(arg_1.exc_info)
        if arg_1.exc_text:
            if arg_5[-1:] != '\n':
                arg_5 += '\n'
            try:
                arg_5 = arg_5 + arg_1.exc_text
            except UnicodeError:
                arg_5 = arg_5 + arg_1.exc_text.decode(sys.getfilesystemencoding(), 'replace')
        return arg_5


def Func(arg_0):
    '''
        Func - Get the process owner of a pid

        @param pid <int> - process id

        @return - None if process not found or can't be determined. Otherwise, a dict:
            {
                uid  - Owner UID
                name - Owner name, or None if one cannot be determined
            }
    '''
    try:
        arg_1 = os.stat('/proc/' + str(arg_0)).st_uid
    except:
        return None

    try:
        arg_2 = pwd.getpwuid(arg_1).pw_name
    except:
        arg_2 = None

    return {
        'uid' : arg_1,
        'name' : arg_2
    }


def Func(arg_0, arg_1, arg_2=False):
    '''
        Func - Searches a given pid's cwd for a given pattern

            @param pid <int> - A running process ID on this system
            @param searchPortion <str> - Any portion of directory to search
            @param isExactMatch <bool> Default False - If match should be exact, otherwise a partial match is performed.

            @return <dict> - If result is found, the following dict is returned. If no match found on the given pid, or pid is not found running, None is returned.
                {
                    'searchPortion' : The passed search pattern
                    'pid'           : The passed pid (as an integer)
                    'owner'         : String of process owner, or uid if no mapping can be found, or "unknown" if neither could be determined.
                    'cmdline'       : Commandline string
                    'cwd'           : The exact cwd of matched process
                }
    '''
    try:
        try:
            arg_0 = int(arg_0)
        except ValueError as e:
            sys.stderr.write('Expected an integer, got %s for pid.\n' %(str(type(arg_0)),))
            raise e

        arg_3 = getProcessCwd(arg_0)
        if not arg_3:
            return None

        arg_4 = False
        if arg_2 is True:
            if arg_1 == arg_3:
                arg_4 = True
            else:
                if arg_1.endswith('/') and arg_1[:-1] == arg_3:
                    arg_4 = True
        else:
            if arg_1 in arg_3:
                arg_4 = True
            else:
                if arg_1.endswith('/') and arg_1[:-1] in arg_3:
                    arg_4 = True

        if not arg_4:
            return None

        arg_5 = getProcessCommandLineStr(arg_0)
        arg_6   = getProcessOwnerStr(arg_0)

        return {
            'searchPortion' : arg_1,
            'pid'           : arg_0,
            'owner'         : arg_6,
            'cmdline'       : arg_5,
            'cwd'           : arg_3,
        }
    except OSError:
        return None
    except IOError:
        return None
    except FileNotFoundError:
        return None
    except PermissionError:
        return None


def Func(arg_0, arg_1=False):
    '''
        Func - Scans all processes on the system for a given search pattern.

            @param searchPortion <str> - Any portion of directory to search
            @param isExactMatch <bool> Default False - If match should be exact, otherwise a partial match is performed.

        @return - <dict> - A dictionary of pid -> cwdResults for each pid that matched the search pattern. For format of "cwdResults", @see scanProcessForCwd
    '''

    arg_2 = getAllRunningPids()

    arg_3 = [scanProcessForCwd(pid, arg_0, arg_1) for pid in arg_2]
    arg_4 = {}
    for arg_5 in range(len(arg_2)):
        if arg_3[arg_5] is not None:
            arg_4[arg_2[arg_5]] = arg_3[arg_5]

    return arg_4


def Func(arg_0, arg_1=False, arg_2=False):
    '''
        Func - Scans all processes on the system for a given search pattern.

            @param searchPortion <str> - A mapping for which to search, example: libc or python or libz.so.1. Give empty string to return all mappings.
            @param isExactMatch <bool> Default False - If match should be exact, otherwise a partial match is performed.
            @param ignoreCase <bool> Default False - If True, search will be performed case-insensitively

        @return - <dict> - A dictionary of pid -> mappingResults for each pid that matched the search pattern. For format of "mappingResults", @see scanProcessForMapping
    '''
    arg_3 = getAllRunningPids()

    # Since processes could disappear, we run the scan as fast as possible here with a list comprehension, then assemble the return dictionary later.
    arg_4 = [scanProcessForMapping(pid, arg_0, arg_1, arg_2) for pid in arg_3]
    arg_5 = {}
    for arg_6 in range(len(arg_3)):
        if arg_4[arg_6] is not None:
            arg_5[arg_3[arg_6]] = arg_4[arg_6]

    return arg_5


def Func(arg_0, arg_1, arg_2=True, arg_3=False):
    '''
        Func - Scans open FDs for a given pid to see if any are the provided searchPortion

            @param searchPortion <str> - Filename to check
            @param isExactMatch <bool> Default True - If match should be exact, otherwise a partial match is performed.
            @param ignoreCase <bool> Default False - If True, search will be performed case-insensitively

        @return -  If result is found, the following dict is returned. If no match found on the given pid, or the pid is not found running, None is returned.
                {
                    'searchPortion' : The search portion provided
                    'pid'           : The passed pid (as an integer)
                    'owner'         : String of process owner, or "unknown" if one could not be determined
                    'cmdline'       : Commandline string
                    'fds'           : List of file descriptors assigned to this file (could be mapped several times)
                    'filenames'     : List of the filenames matched
                }
    '''
    try:
        try:
            arg_0 = int(arg_0)
        except ValueError as e:
            sys.stderr.write('Expected an integer, got %s for pid.\n' %(str(type(arg_0)),))
            raise e

        arg_4 = "/proc/%d/fd" % (arg_0,)

        arg_5 = os.listdir(arg_4)

        arg_6 = []
        arg_7 = []

        if arg_2 is True:

            if arg_3 is False:
                arg_8 = lambda searchFor, totalPath : bool(searchFor == totalPath)
            else:
                arg_8 = lambda searchFor, totalPath : bool(searchFor.lower() == totalPath.lower())
        else:
            if arg_3 is False:
                arg_8 = lambda searchFor, totalPath : bool(searchFor in totalPath)
            else:
                arg_8 = lambda searchFor, totalPath : bool(searchFor.lower() in totalPath.lower())

        for arg_9 in arg_5:
            arg_10 = os.readlink(arg_4 + '/' + arg_9)

            if arg_8(arg_1, arg_10):
                arg_6.append(arg_9)
                arg_7.append(arg_10)

        if len(arg_6) == 0:
            return None

        arg_11 = getProcessCommandLineStr(arg_0)
        arg_12   = getProcessOwnerStr(arg_0)

        return {
            'searchPortion' : arg_1,
            'pid'           : arg_0,
            'owner'         : arg_12,
            'cmdline'       : arg_11,
            'fds'           : arg_6,
            'filenames'     : arg_7,
        }

    except OSError:
        return None
    except IOError:
        return None
    except FileNotFoundError:
        return None
    except PermissionError:
        return None


def Func(arg_0, arg_1=True, arg_2=False):
    '''
        scanAllProcessessForOpenFile - Scans all processes on the system for a given filename

            @param searchPortion <str> - Filename to check
            @param isExactMatch <bool> Default True - If match should be exact, otherwise a partial match is performed.
            @param ignoreCase <bool> Default False - If True, search will be performed case-insensitively

        @return - <dict> - A dictionary of pid -> mappingResults for each pid that matched the search pattern. For format of "mappingResults", @see scanProcessForOpenFile
    '''
    arg_3 = getAllRunningPids()

    # Since processes could disappear, we run the scan as fast as possible here with a list comprehension, then assemble the return dictionary later.
    arg_4 = [scanProcessForOpenFile(pid, arg_0, arg_1, arg_2) for pid in arg_3]
    arg_5 = {}
    for arg_6 in range(len(arg_3)):
        if arg_4[arg_6] is not None:
            arg_5[arg_3[arg_6]] = arg_4[arg_6]

    return arg_5


def Func(arg_0):
        """Get current light data as dictionary with light zids as keys."""
        arg_1 = arg_0.send_command(GET_LIGHTS_COMMAND)
        _LOGGER.debug("Func response: %s", repr(arg_1))
        if not arg_1:
            _LOGGER.debug("Empty response: %s", arg_1)
            return {}
        arg_1 = arg_1.strip()
        # Check string before splitting (avoid IndexError if malformed)
        if not (arg_1.startswith("GLB") and arg_1.endswith(";")):
            _LOGGER.debug("Invalid response: %s", repr(arg_1))
            return {}

        # deconstruct response string into light data. Example data:
        # GLB 143E,1,1,25,255,255,255,0,0;287B,1,1,22,255,255,255,0,0;\r\n
        arg_1 = arg_1[4:-3]  # strip start (GLB) and end (;\r\n)
        arg_2 = arg_1.split(';')
        arg_3 = {}
        for arg_4 in arg_2:
            arg_5 = arg_4.split(',')
            try:
                arg_3[arg_5[0]] = [int(arg_5[2]), int(arg_5[4]),
                                               int(arg_5[5]), int(arg_5[6]),
                                               int(arg_5[7])]
            except ValueError as error:
                _LOGGER.error("Error %s: %s (%s)", error, arg_5, arg_1)
            except IndexError as error:
                _LOGGER.error("Error %s: %s (%s)", error, arg_5, arg_1)
        return arg_3


def Func(arg_0):
        """Get current light data, set and return as list of Bulb objects."""
        # Throttle updates. Use cached data if within UPDATE_INTERVAL_SECONDS
        arg_1 = datetime.datetime.now()
        if (arg_1 - arg_0._last_updated) < datetime.timedelta(
                seconds=UPDATE_INTERVAL_SECONDS):
            # _LOGGER.debug("Using cached light data")
            return arg_0._bulbs
        else:
            arg_0._last_updated = arg_1

        arg_3 = arg_0.get_data()
        _LOGGER.debug("got: %s", arg_3)
        if not arg_3:
            return []

        if arg_0._bulbs:
            # Bulbs already created, just update values
            for arg_4 in arg_0._bulbs:
                # use the values for the bulb with the correct ID
                try:
                    arg_5 = arg_3[arg_4.zid]
                    arg_4._online, arg_4._red, arg_4._green, arg_4._blue, \
                        arg_4._level = arg_5
                except KeyError:
                    pass
        else:
            for arg_11 in arg_3:
                arg_0._bulbs.append(Bulb(arg_0, arg_11, *arg_3[arg_11]))
        # return a list of Bulb objects
        return arg_0._bulbs


def Func(arg_0, arg_1, arg_2, arg_3, arg_4):
        """Set color and brightness of bulb."""
        arg_5 = "C {},{},{},{},{},\r\n".format(arg_0._zid, arg_1, arg_2, arg_3,
                                                 arg_4)
        arg_6 = arg_0._hub.send_command(arg_5)
        _LOGGER.debug("Set all %s: %s", repr(arg_5), arg_6)
        return arg_6


def Func(arg_0):
        """Update light objects to their current values."""
        arg_1 = arg_0._hub.get_lights()
        if not arg_1:
            _LOGGER.debug("%s is offline, send command failed", arg_0._zid)
            arg_0._online = False


def Func(arg_0, arg_1='sec_filings'):
    '''
        This function takes a file path beginning with edgar and stores the form in a directory.
        The default directory is sec_filings but can be changed through a keyword argument.
    '''
    arg_2 = FTP('ftp.sec.gov', timeout=None)
    arg_2.login()
    arg_3 = arg_0.replace('/', '_')
    if not os.path.exists(arg_1):
        os.makedirs(arg_1)
    with tempfile.TemporaryFile() as temp:
        arg_2.retrbinary('RETR %s' % arg_0, temp.write)
        temp.seek(0)
        with open('{}/{}'.format(arg_1, arg_3), 'w+') as f:
            f.write(temp.read().decode("utf-8"))
        f.closed
        arg_4 = temp
        arg_5 = False
    arg_2.close()


def Func(arg_0):
    """ read file as is"""
    with open(arg_0, 'rt') as f:
        arg_1 = f.readlines()
    return ''.join(arg_1)


def Func(arg_0):
    """
    Clean up after ourselves, removing created files.
    @param {[String]} A list of file paths specifying the files we've created
        during run. Will all be deleted.
    @return {None}
    """
    print('Cleaning up')
    # Iterate over the given paths, unlinking them
    for arg_1 in arg_0:
        print('Removing %s' % arg_1)
        os.unlink(arg_1)


def Func(arg_0, arg_1=False):
    """
    Crawl the root directory downwards, generating an index HTML file in each
    directory on the way down.
    @param {String} root_dir - The top level directory to crawl down from. In
        normal usage, this will be '.'.
    @param {Boolean=False} force_no_processing - If True, do not attempt to
        actually process thumbnails, PIL images or anything. Simply index
        <img> tags with original file src attributes.
    @return {[String]} Full file paths of all created files.
    """
    # Initialise list of created file paths to build up as we make them
    arg_2 = []
    # Walk the root dir downwards, creating index files as we go
    for arg_3, arg_4, arg_5 in os.walk(arg_0):
        print('Processing %s' % arg_3)
        # Sort the subdirectories by name
        arg_4 = sorted(arg_4)
        # Get image files - all files in the directory matching IMAGE_FILE_REGEX
        arg_6 = [f for f in arg_5 if re.match(IMAGE_FILE_REGEX, f)]
        # Sort the image files by name
        arg_6 = sorted(arg_6)
        # Create this directory's index file and add its name to the created
        # files list
        arg_2.append(
            _create_index_file(
                arg_0, arg_3, arg_6, arg_4, arg_1
            )
        )
    # Return the list of created files
    return arg_2


def Func(arg_0, arg_1):
    """
    Get an instance of PIL.Image from the given file.
    @param {String} dir_path - The directory containing the image file
    @param {String} image_file - The filename of the image file within dir_path
    @return {PIL.Image} An instance of the image file as a PIL Image, or None
        if the functionality is not available. This could be because PIL is not
        present, or because it can't process the given file type.
    """
    # Save ourselves the effort if PIL is not present, and return None now
    if not PIL_ENABLED:
        return None
    # Put together full path
    arg_2 = os.path.join(arg_0, arg_1)
    # Try to read the image
    arg_3 = None
    try:
        arg_3 = Image.open(arg_2)
    except IOError as exptn:
        print('Error loading image file %s: %s' % (arg_2, exptn))
    # Return image or None
    return arg_3


def Func(arg_0, arg_1):
    """
    Get a PIL.Image from the given image file which has been scaled down to
    THUMBNAIL_WIDTH wide.
    @param {String} dir_path - The directory containing the image file
    @param {String} image_file - The filename of the image file within dir_path
    @return {PIL.Image} An instance of the thumbnail as a PIL Image, or None
        if the functionality is not available. See _get_image_from_file for
        details.
    """
    # Get image
    arg_2 = _get_image_from_file(arg_0, arg_1)
    # If it's not supported, exit now
    if arg_2 is None:
        return None
    if arg_2.format.lower() == 'gif':
        return None
    # Get image dimensions
    arg_3, arg_4 = arg_2.size
    # We need to perform a resize - first, work out the scale ratio to take the
    # image width to THUMBNAIL_WIDTH (THUMBNAIL_WIDTH:img_width ratio)
    arg_5 = THUMBNAIL_WIDTH / float(arg_3)
    # Work out target image height based on the scale ratio
    arg_6 = int(arg_5 * arg_4)
    # Perform the resize
    try:
        arg_2.thumbnail((THUMBNAIL_WIDTH, arg_6), resample=RESAMPLE)
    except IOError as exptn:
        print('WARNING: IOError when thumbnailing %s/%s: %s' % (
            arg_0, arg_1, exptn
        ))
        return None
    # Return the resized image
    return arg_2


def Func():
    """
    Run the image server. This is blocking. Will handle user KeyboardInterrupt
    and other exceptions appropriately and return control once the server is
    stopped.
    @return {None}
    """
    # Get the port to run on
    arg_0 = _get_server_port()
    # Configure allow_reuse_address to make re-runs of the script less painful -
    # if this is not True then waiting for the address to be freed after the
    # last run can block a subsequent run
    arg_1.TCPServer.allow_reuse_address = True
    # Create the server instance
    arg_4 = arg_1.TCPServer(
        ('', arg_0),
        SimpleHTTPServer.SimpleHTTPRequestHandler
    )
    # Print out before actually running the server (cheeky / optimistic, however
    # you want to look at it)
    print('Your images are at http://127.0.0.1:%d/%s' % (
        arg_0,
        INDEX_FILE_NAME
    ))
    # Try to run the server
    try:
        # Run it - this call blocks until the server is killed
        arg_4.serve_forever()
    except KeyboardInterrupt:
        # This is the expected way of the server being killed, since imageMe is
        # intended for ad-hoc running from command line
        print('User interrupted, stopping')
    except Exception as exptn:
        # Catch everything else - this will handle shutdowns via other signals
        # and faults actually starting the server in the first place
        print(exptn)
        print('Unhandled exception in server, stopping')


def Func(arg_0):
    """
    Generate indexes and run server from the given directory downwards.
    @param {String} dir_path - The directory path (absolute, or relative to CWD)
    @return {None}
    """
    # Create index files, and store the list of their paths for cleanup later
    # This time, force no processing - this gives us a fast first-pass in terms
    # of page generation, but potentially slow serving for large image files
    print('Performing first pass index file generation')
    arg_1 = _create_index_files(arg_0, True)
    if (PIL_ENABLED):
        # If PIL is enabled, we'd like to process the HTML indexes to include
        # generated thumbnails - this slows down generation so we don't do it
        # first time around, but now we're serving it's good to do in the
        # background
        print('Performing PIL-enchanced optimised index file generation in background')
        arg_2 = BackgroundIndexFileGenerator(arg_0)
        arg_2.run()
    # Run the server in the current location - this blocks until it's stopped
    _run_server()
    # Clean up the index files created earlier so we don't make a mess of
    # the image directories
    _clean_up(arg_1)


def Func(**arg_0):
    """ USE carefully ^^ """
    def wrap(arg_1):
        arg_1.func_globals['Func'] = arg_1
        arg_1.__dict__.update(arg_0)
        return arg_1
    return wrap


def Func(arg_0):
        """Returns the team ID of the winning team. Returns NaN if a tie."""
        arg_1 = arg_0.home_score()
        arg_2 = arg_0.away_score()
        if arg_1 > arg_2:
            return arg_0.home()
        elif arg_1 < arg_2:
            return arg_0.away()
        else:
            return None


def Func(arg_0):
        """Returns a DataFrame where each row is an entry in the Func table
        from PFR.

        The columns are:
        * player_id - the PFR player ID for the player (note that this column
        is not necessarily all unique; that is, one player can be a starter in
        multiple positions, in theory).
        * playerName - the listed name of the player; this too is not
        necessarily unique.
        * position - the position at which the player started for their team.
        * team - the team for which the player started.
        * home - True if the player's team was at home, False if they were away
        * offense - True if the player is starting on an offensive position,
        False if defense.

        :returns: A pandas DataFrame. See the description for details.
        """
        arg_1 = arg_0.get_doc()
        arg_2 = arg_1('table#vis_Func')
        arg_3 = arg_1('table#home_Func')
        arg_4 = []
        for arg_3, arg_5 in enumerate((arg_2, arg_3)):
            arg_6 = arg_0.home() if arg_3 else arg_0.away()
            for arg_7, arg_8 in enumerate(arg_5('tbody tr').items()):
                arg_9 = {}
                arg_9['player_id'] = sportsref.utils.rel_url_to_id(
                    arg_8('a')[0].attrib['href']
                )
                arg_9['playerName'] = arg_8('th').text()
                arg_9['position'] = arg_8('td').text()
                arg_9['team'] = arg_6
                arg_9['home'] = (arg_3 == 1)
                arg_9['offense'] = (arg_7 <= 10)
                arg_4.append(arg_9)
        return pd.DataFrame(arg_4)


def Func(arg_0):
        """The playing Func on which the game was played.

        :returns: string representing the type of Func. Returns np.nan if
        not avaiable.
        """
        arg_1 = arg_0.get_doc()
        arg_2 = arg_1('table#game_info')
        arg_3 = sportsref.utils.parse_info_table(arg_2)
        return arg_3.get('Func', np.nan)


def Func(arg_0):
        """Returns a dictionary of Func-related info.

        Keys of the returned dict:
        * temp
        * windChill
        * relHumidity
        * windMPH

        :returns: Dict of Func data.
        """
        arg_1 = arg_0.get_doc()
        arg_2 = arg_1('table#game_info')
        arg_3 = sportsref.utils.parse_info_table(arg_2)
        if 'Func' in arg_3:
            arg_4 = (
                r'(?:(?P<temp>\-?\d+) degrees )?'
                r'(?:relative humidity (?P<relHumidity>\d+)%, )?'
                r'(?:wind (?P<windMPH>\d+) mph, )?'
                r'(?:wind chill (?P<windChill>\-?\d+))?'
            )
            arg_5 = re.match(arg_4, arg_3['Func'])
            arg_6 = arg_5.groupdict()

            # cast values to int
            for arg_7 in arg_6:
                try:
                    arg_6[arg_7] = int(arg_6[arg_7])
                except TypeError:
                    pass

            # one-off fixes
            arg_6['windChill'] = (arg_6['windChill'] if pd.notnull(arg_6['windChill'])
                              else arg_6['temp'])
            arg_6['windMPH'] = arg_6['windMPH'] if pd.notnull(arg_6['windMPH']) else 0
            return arg_6
        else:
            # no Func found, because it's a dome
            # TODO: what's relative humidity in a dome?
            return {
                'temp': 70, 'windChill': 70, 'relHumidity': None, 'windMPH': 0
            }


def Func(arg_0):
        """Gets a dictionary of ref positions and the ref IDs of the refs for
        that game.

        :returns: A dictionary of ref positions and IDs.
        """
        arg_1 = arg_0.get_doc()
        arg_2 = arg_1('table#officials')
        return sportsref.utils.parse_info_table(arg_2)


def Func(arg_0, arg_1='R'):
        """Returns a list of BoxScore IDs for every game in the season.
        Only needs to handle 'R' or 'P' options because decorator handles 'B'.

        :param kind: 'R' for regular season, 'P' for playoffs, 'B' for both.
            Defaults to 'R'.
        :returns: DataFrame of Func information.
        :rtype: pd.DataFrame
        """
        arg_1 = arg_1.upper()[0]
        arg_2 = []

        # get games from each month
        for arg_3 in ('october', 'november', 'december', 'january', 'february',
                      'march', 'april', 'may', 'june'):
            try:
                arg_4 = arg_0.get_sub_doc('games-{}'.format(arg_3))
            except ValueError:
                continue
            arg_5 = arg_4('table#Func')
            arg_6 = sportsref.utils.parse_table(arg_5)
            arg_2.append(arg_6)
        arg_6 = pd.concat(arg_2).reset_index(drop=True)

        # figure out how many regular season games
        try:
            sportsref.utils.get_html('{}/playoffs/NBA_{}.html'.format(
                sportsref.nba.BASE_URL, arg_0.yr)
            )
            arg_7 = True
        except ValueError:
            arg_7 = False

        if arg_7:
            arg_8 = arg_0.team_stats_per_game()
            arg_9 = int(arg_8.g.sum() // 2)
        else:
            arg_9 = len(arg_6)

        # subset appropriately based on `kind`
        if arg_1 == 'P':
            return arg_6.iloc[arg_9:]
        else:
            return arg_6.iloc[:arg_9]


def Func(arg_0):
        """Returns a DataFrame containing Func information."""
        arg_1 = arg_0.get_sub_doc('Func')

        arg_2 = arg_1('table#divs_Func_E')
        arg_3 = pd.DataFrame(sportsref.utils.parse_table(arg_2))
        arg_3.sort_values('wins', ascending=False, inplace=True)
        arg_3['seed'] = range(1, len(arg_3) + 1)
        arg_3['conference'] = 'E'

        arg_4 = arg_1('table#divs_Func_W')
        arg_5 = sportsref.utils.parse_table(arg_4)
        arg_5.sort_values('wins', ascending=False, inplace=True)
        arg_5['seed'] = range(1, len(arg_5) + 1)
        arg_5['conference'] = 'W'

        arg_6 = pd.concat([arg_3, arg_5], axis=0).reset_index(drop=True)
        arg_6['team_id'] = arg_6.team_id.str.extract(r'(\w+)\W*\(\d+\)', expand=False)
        arg_6['gb'] = [gb if isinstance(gb, int) or isinstance(gb, float) else 0
                         for gb in arg_6['gb']]
        arg_6 = arg_6.drop('has_class_full_table', axis=1)

        arg_7 = arg_1('table#expanded_Func')
        arg_8 = sportsref.utils.parse_table(arg_7)

        arg_6 = pd.merge(arg_6, arg_8, on='team_id')
        return arg_6


def Func(arg_0, arg_1):
        """Helper function for stats tables on season pages. Returns a
        DataFrame."""
        arg_2 = arg_0.get_main_doc()
        arg_3 = arg_2(arg_1)
        arg_4 = sportsref.utils.parse_table(arg_3)
        arg_4.set_index('team_id', inplace=True)
        return arg_4


def Func(arg_0):
        """Returns a DataFrame containing information about ROY voting."""
        arg_1 = '{}/awards/awards_{}.html'.format(sportsref.nba.BASE_URL, arg_0.yr)
        arg_2 = pq(sportsref.utils.get_html(arg_1))
        arg_3 = arg_2('table#roy')
        arg_4 = sportsref.utils.parse_table(arg_3)
        return arg_4


def Func(arg_0, arg_1):
        """Returns a DataFrame of player stats from the game (either basic or
        advanced, depending on the argument.

        :param table_id_fmt: Format string for str.format with a placeholder
            for the team ID (e.g. 'box_{}_basic')
        :returns: DataFrame of player stats
        """

        # get data
        arg_2 = arg_0.get_main_doc()
        arg_3 = arg_0.away(), arg_0.home()
        arg_4 = [arg_1.format(arg_8) for arg_8 in arg_3]
        arg_5 = [arg_2('table#{}'.format(tm_id).lower()) for tm_id in arg_4]
        arg_6 = [sportsref.utils.parse_table(table) for table in arg_5]

        # clean data and add features
        for arg_7, (arg_8, arg_9) in enumerate(zip(arg_3, arg_6)):
            arg_10 = arg_9['mp'] == 0
            arg_11 = [col for col, dtype in arg_9.dtypes.items()
                         if dtype != 'object']
            arg_9.loc[arg_10, arg_11] = 0
            arg_9['team_id'] = arg_8
            arg_9['is_home'] = arg_7 == 1
            arg_9['is_starter'] = [p < 5 for p in range(arg_9.shape[0])]
            arg_9.drop_duplicates(subset='player_id', keep='first', inplace=True)

        return pd.concat(arg_6)


def Func(arg_0):
    """
    Decorator that switches to given directory before executing function, and
    then returning to orignal directory.
    """

    def decorator(arg_1):
        @funcutils.wraps(arg_1)
        def wrapper(*arg_2, **arg_3):
            arg_4 = os.getcwd()
            os.chdir(arg_0)
            arg_5 = arg_1(*arg_2, **arg_3)
            os.chdir(arg_4)
            return arg_5
        return wrapper

    return decorator


def Func(arg_0, arg_1, arg_2):
    """
    Returns a unique identifier for a class instantiation.
    """
    arg_3 = [id(arg_0)]
    for arg_4 in arg_1:
        arg_3.append(id(arg_4))
    arg_3.extend((arg_5, id(arg_6)) for arg_5, arg_6 in arg_2.items())
    return tuple(sorted(arg_3))


def Func(arg_0):
    """A decorator for memoizing functions.

    Only works on functions that take simple arguments - arguments that take
    list-like or dict-like arguments will not be Funcd, and this function
    will raise a TypeError.
    """
    @funcutils.wraps(arg_0)
    def wrapper(*arg_1, **arg_2):

        arg_3 = sportsref.get_option('Func')
        if not arg_3:
            return arg_0(*arg_1, **arg_2)

        arg_4 = tuple(arg_1)
        arg_5 = frozenset(sorted(arg_2.items()))
        arg_6 = (arg_4, arg_5)

        def _copy(arg_7):
            if isinstance(arg_7, pq):
                return arg_7.clone()
            else:
                return copy.deepcopy(arg_7)

        try:
            arg_8 = _copy(arg_9[arg_6])
            return arg_8
        except KeyError:
            arg_9[arg_6] = arg_0(*arg_1, **arg_2)
            arg_8 = _copy(arg_9[arg_6])
            return arg_8
        except TypeError:
            print('memoization type error in function {} for arguments {}'
                  .format(arg_0.__name__, arg_6))
            raise

    arg_9 = {}
    return wrapper


def Func(arg_0, arg_1='R', arg_2=False):
        """Returns a DataFrame of per-game box score stats."""
        return arg_0._get_stats_table('per_game', arg_1=arg_1, arg_2=arg_2)


def Func(arg_0, arg_1='R', arg_2=False):
        """Returns a DataFrame of per-36-minutes stats."""
        return arg_0._get_stats_table('per_minute', arg_1=arg_1, arg_2=arg_2)


def Func(arg_0, arg_1='R', arg_2=False):
        """Returns a DataFrame of per-100-possession stats."""
        return arg_0._get_stats_table('per_poss', arg_1=arg_1, arg_2=arg_2)


def Func(arg_0, arg_1='R', arg_2=False):
        """Returns a DataFrame of advanced stats."""
        return arg_0._get_stats_table('advanced', arg_1=arg_1, arg_2=arg_2)


def Func(arg_0, arg_1='R', arg_2=False):
        """Returns a DataFrame of play-by-play stats."""
        return arg_0._get_stats_table('advanced_pbp', arg_1=arg_1,
                                     arg_2=arg_2)


def Func(arg_0, arg_1, arg_2='R'):
        """Returns a table of a player's basic game-by-game stats for a season.

        :param year: The year representing the desired season.
        :param kind: specifies regular season, playoffs, or both. One of 'R',
            'P', 'B'. Defaults to 'R'.
        :returns: A DataFrame of the player's standard boxscore stats from each
            game of the season.
        :rtype: pd.DataFrame
        """
        arg_3 = arg_0.get_sub_doc('gamelog/{}'.format(arg_1))
        arg_4 = (arg_3('table#pgl_basic_playoffs')
                 if arg_2 == 'P' else arg_3('table#pgl_basic'))
        arg_5 = sportsref.utils.parse_table(arg_4)
        return arg_5


def Func(arg_0):
    """Converts a permutation into a permutation matrix.

    `matches` is a dictionary whose keys are vertices and whose values are
    partners. For each vertex ``u`` and ``v``, entry (``u``, ``v``) in the
    returned matrix will be a ``1`` if and only if ``matches[u] == v``.

    Pre-condition: `matches` must be a permutation on an initial subset of the
    natural numbers.

    Returns a permutation matrix as a square NumPy array.

    """
    arg_1 = len(arg_0)
    arg_2 = np.zeros((arg_1, arg_1))
    # This is a cleverer way of doing
    #
    #     for (u, v) in matches.items():
    #         P[u, v] = 1
    #
    arg_2[arg_3(arg_4(*(arg_0.items())))] = 1
    return arg_2


def Func(arg_0, arg_1, arg_2, arg_3):
    """Convenience function that creates a block matrix with the specified
    blocks.

    Each argument must be a NumPy matrix. The two top matrices must have the
    same number of rows, as must the two bottom matrices. The two left matrices
    must have the same number of columns, as must the two right matrices.

    """
    return vstack(hstack(arg_0, arg_1),
                  hstack(arg_2, arg_3))


def Func(arg_0):
    """Returns the adjacency matrix of a bipartite graph whose biadjacency
    matrix is `A`.

    `A` must be a NumPy array.

    If `A` has **m** rows and **n** columns, then the returned matrix has **m +
    n** rows and columns.

    """
    arg_1, arg_2 = arg_0.shape
    return four_blocks(zeros(arg_1, arg_1), arg_0, arg_0.T, zeros(arg_2, arg_2))


def Func(arg_0):
    """Returns the Boolean matrix in the same shape as `D` with ones exactly
    where there are nonzero entries in `D`.

    `D` must be a NumPy array.

    """
    arg_1 = np.zeros_like(arg_0)
    # This is a cleverer way of doing
    #
    #     for (u, v) in zip(*(D.nonzero())):
    #         result[u, v] = 1
    #
    arg_1[arg_0.nonzero()] = 1
    return arg_1


def Func(arg_0, arg_1='detail'):
    """Expands the details column of the given dataframe and returns the
    resulting DataFrame.

    :df: The input DataFrame.
    :detailCol: The detail column name.
    :returns: Returns DataFrame with new columns from pbp parsing.
    """
    arg_0 = copy.deepcopy(arg_0)
    arg_0['detail'] = arg_0[arg_1]
    arg_2 = [sportsref.nfl.pbp.parse_play_details(detail) for detail in arg_0['detail'].values]
    # clean up unmatched details
    arg_3 = {c for d in arg_2 if d for c in d.keys()}
    arg_4 = {c: np.nan for c in arg_3}
    arg_5 = [d if d else arg_4 for d in arg_2]
    # get details DataFrame and merge it with original to create main DataFrame
    arg_6 = pd.DataFrame(arg_5)
    arg_0 = pd.merge(arg_0, arg_6, left_index=True, right_index=True)
    # add isError column
    arg_7 = [i for i, d in enumerate(arg_2) if d is None]
    arg_0['isError'] = False
    arg_0.loc[arg_7, 'isError'] = True
    # fill in some NaN's necessary for _clean_features
    arg_0.loc[0, 'qtr_time_remain'] = '15:00'
    arg_0.qtr_time_remain.fillna(method='bfill', inplace=True)
    arg_0.qtr_time_remain.fillna(
        pd.Series(np.where(arg_0.quarter == 4, '0:00', '15:00')), inplace=True
    )
    # use _clean_features to clean up and add columns
    arg_9 = arg_0.apply(_clean_features, axis=1)
    return arg_9


def Func(arg_0):
    """Adds extra convenience features based on teams with and without
    possession, with the precondition that the there are 'team' and 'opp'
    specified in row.

    :df: A DataFrame representing a game's play-by-play data after
        _clean_features has been called and 'team' and 'opp' have been added by
        _add_team_columns.
    :returns: A dict with new features in addition to previous features.
    """
    assert arg_0.team.notnull().all()

    arg_1 = arg_0['team'] == arg_0['home']
    # create column for distToGoal
    arg_0['distToGoal'] = np.where(arg_0['team'] != arg_0['fieldSide'],
                                arg_0['ydLine'], 100 - arg_0['ydLine'])
    arg_0['distToGoal'] = np.where(arg_0['isXP'] | arg_0['isTwoPoint'],
                                2, arg_0['distToGoal'])
    # create column for each team's WP
    arg_0['team_wp'] = np.where(arg_1, arg_0['home_wp'], 100. - arg_0['home_wp'])
    arg_0['opp_wp'] = 100. - arg_0['team_wp']
    # create columns for each team's WPA
    arg_0['team_wpa'] = np.where(arg_1, arg_0['home_wpa'], -arg_0['home_wpa'])
    arg_0['opp_wpa'] = -arg_0['team_wpa']
    # create column for offense and defense scores if not already there
    assert arg_0['boxscore_id'].nunique() == 1
    arg_2 = arg_0['boxscore_id'].values[0]
    arg_3 = sportsref.nfl.boxscores.BoxScore(arg_2)
    arg_0['team_score'] = np.where(arg_0['team'] == arg_3.home(),
                                arg_0['pbp_score_hm'], arg_0['pbp_score_aw'])
    arg_0['opp_score'] = np.where(arg_0['team'] == arg_3.home(),
                               arg_0['pbp_score_aw'], arg_0['pbp_score_hm'])

    return arg_0


def Func(arg_0):
    """Gets the initial win probability of a game given its Vegas line.

    :line: The Vegas line from the home team's perspective (negative means
    home team is favored).
    :returns: A float in [0., 100.] that represents the win probability.
    """
    arg_0 = float(arg_0)
    arg_1 = 1. - norm.cdf(0.5, -arg_0, 13.86)
    arg_2 = norm.cdf(0.5, -arg_0, 13.86) - norm.cdf(-0.5, -arg_0, 13.86)
    return 100. * (arg_1 + 0.5 * arg_2)


def Func(arg_0, arg_1='R'):
        """Gets yearly Func stats for the player.

        :kind: One of 'R', 'P', or 'B'. Case-insensitive; defaults to 'R'.
        :returns: Pandas DataFrame with Func stats.
        """
        arg_2 = arg_0.get_doc()
        arg_3 = (arg_2('table#Func') if arg_1 == 'R' else
                 arg_2('table#Func_playoffs'))
        arg_4 = sportsref.utils.parse_table(arg_3)
        return arg_4


def Func(arg_0, arg_1):
        """Template for simple award functions that simply list years, such as
        pro bowls and first-team all pro.

        :award_id: The div ID that is appended to "leaderboard_" in selecting
        the table's div.
        :returns: List of years for the award.
        """
        arg_2 = arg_0.get_doc()
        arg_3 = arg_2('div#leaderboard_{} table'.format(arg_1))
        return list(map(int, sportsref.utils.parse_awards_table(arg_3)))


def Func(arg_0):
        """Returns the real Func of the franchise given the team ID.

        Examples:
        'nwe' -> 'New England Patriots'
        'sea' -> 'Seattle Seahawks'

        :returns: A string corresponding to the team's full Func.
        """
        arg_1 = arg_0.get_main_doc()
        arg_2 = arg_1('div#meta h1')[0].text_content().split()
        arg_3 = arg_2.index('Franchise')
        arg_4 = arg_2[:arg_3]
        return ' '.join(arg_4)


def Func(arg_0, arg_1, arg_2):
        """Returns a PyQuery object containing the info from the meta div at
        the top of the team year page with the given keyword.

        :year: Int representing the season.
        :keyword: A keyword to filter to a single p tag in the meta div.
        :returns: A PyQuery object for the selected p element.
        """
        arg_3 = arg_0.get_year_doc(arg_1)
        arg_4 = arg_3('div#meta div:not(.logo) p')
        arg_5 = [arg_6.text_content().strip() for arg_6 in arg_4]
        try:
            return next(
                pq(arg_6) for arg_6, arg_7 in zip(arg_4, arg_5)
                if arg_2.lower() in arg_7.lower()
            )
        except StopIteration:
            if len(arg_5):
                raise ValueError('Keyword not found in any p tag.')
            else:
                raise ValueError('No meta div p tags found.')


def Func(arg_0, arg_1):
        """Returns a DataFrame with Func information for the given year.

        :year: The year for the season in question.
        :returns: Pandas DataFrame with Func information.
        """
        arg_2 = arg_0.get_year_doc(arg_1)
        arg_3 = arg_2('table#games')
        arg_4 = sportsref.utils.parse_table(arg_3)
        if arg_4.empty:
            return pd.DataFrame()
        arg_4 = arg_4.loc[arg_4['week_num'].notnull()]
        arg_4['week_num'] = np.arange(len(arg_4)) + 1
        arg_4['is_win'] = arg_4['game_outcome'] == 'W'
        arg_4['is_loss'] = arg_4['game_outcome'] == 'L'
        arg_4['is_tie'] = arg_4['game_outcome'] == 'T'
        arg_4['is_bye'] = arg_4['game_outcome'].isnull()
        arg_4['is_ot'] = arg_4['overtime'].notnull()
        return arg_4


def Func(arg_0, arg_1):
        """Returns the coach ID for the team's DC in a given year.

        :year: An int representing the year.
        :returns: A string containing the coach ID of the DC.
        """
        try:
            arg_2 = arg_0._year_info_pq(arg_1, 'Defensive Coordinator')('a')
            if arg_2:
                return arg_2.attr['href']
        except ValueError:
            return None


def Func(arg_0, arg_1):
        """Returns the ID for the Func in which the team played in a given
        year.

        :year: The year in question.
        :returns: A string representing the Func ID.
        """
        arg_2 = arg_0._year_info_pq(arg_1, 'Stadium')('a')
        return sportsref.utils.rel_url_to_id(arg_2.attr['href'])


def Func(arg_0, arg_1):
        """Returns the name of the defensive alignment the team ran in the
        given year.

        :year: Int representing the season year.
        :returns: A string representing the defensive alignment.
        """
        arg_2 = arg_0._year_info_pq(arg_1, 'Defensive Alignment').text()
        arg_3 = re.search(r'Defensive Alignment[:\s]*(.+)\s*', arg_2, re.I)
        if arg_3:
            return arg_3.group(1)
        else:
            return None


def Func(arg_0):
    """Gets the HTML for the given URL using a GET request.

    :url: the absolute URL of the desired page.
    :returns: a string of HTML.
    """
    global arg_3
    with throttle_process_lock:
        with throttle_thread_lock:
            # sleep until THROTTLE_DELAY secs have passed since last request
            arg_1 = THROTTLE_DELAY - (time.time() - arg_3.value)
            if arg_1 > 0:
                time.sleep(arg_1)

            # make request
            arg_2 = requests.get(arg_0)

            # update last request time for throttling
            arg_3.value = time.time()

    # raise ValueError on 4xx status code, get rid of comments, and return
    if 400 <= arg_2.status_code < 500:
        raise ValueError(
            'Status Code {} received fetching URL "{}"'
            .format(arg_2.status_code, arg_0)
        )
    arg_5 = arg_2.text
    arg_5 = arg_5.replace('<!--', '').replace('-->', '')

    return arg_5


def Func(arg_0, arg_1=False):
    """Flattens relative URLs within text of a table cell to IDs and returns
    the result.

    :td: the PyQuery object for the HTML to convert
    :returns: the string with the links flattened to IDs
    """

    # helper function to flatten individual strings/links
    def _flatten_node(arg_2):
        if isinstance(arg_2, basestring):
            return arg_2.strip()
        elif 'href' in arg_2.attrib:
            arg_3 = rel_url_to_id(arg_2.attrib['href'])
            return arg_3 if arg_3 else arg_2.text_content().strip()
        else:
            return Func(pq(arg_2), arg_1=True)

    # if there's no text, just return None
    if arg_0 is None or not arg_0.text():
        return '' if arg_1 else None

    arg_0.remove('span.note')
    return ''.join(_flatten_node(arg_2) for arg_2 in arg_0.contents())


def Func(arg_0):
    """Converts a relative URL to a unique ID.

    Here, 'ID' refers generally to the unique ID for a given 'type' that a
    given datum has. For example, 'BradTo00' is Tom Brady's player ID - this
    corresponds to his relative URL, '/players/B/BradTo00.htm'. Similarly,
    '201409070dal' refers to the boxscore of the SF @ DAL game on 09/07/14.

    Supported types:
    * player/...
    * boxscores/...
    * teams/...
    * years/...
    * leagues/...
    * awards/...
    * coaches/...
    * officials/...
    * schools/...
    * schools/high_schools.cgi?id=...

    :returns: ID associated with the given relative URL.
    """
    arg_1 = r'.*/years/(\d{4}).*|.*/gamelog/(\d{4}).*'
    arg_2 = r'.*/players/(?:\w/)?(.+?)(?:/|\.html?)'
    arg_3 = r'.*/boxscores/(.+?)\.html?'
    arg_4 = r'.*/teams/(\w{3})/.*'
    arg_5 = r'.*/coaches/(.+?)\.html?'
    arg_6 = r'.*/stadiums/(.+?)\.html?'
    arg_7 = r'.*/officials/(.+?r)\.html?'
    arg_8 = r'.*/schools/(\S+?)/.*|.*college=([^&]+)'
    arg_9 = r'.*/schools/high_schools\.cgi\?id=([^\&]{8})'
    arg_10 = r'.*/boxscores/index\.f?cgi\?(month=\d+&day=\d+&year=\d+)'
    arg_11 = r'.*/leagues/(.*_\d{4}).*'
    arg_12 = r'.*/awards/(.+)\.htm'

    arg_13 = [
        arg_1,
        arg_2,
        arg_3,
        arg_4,
        arg_5,
        arg_6,
        arg_7,
        arg_8,
        arg_9,
        arg_10,
        arg_11,
        arg_12,
    ]

    for arg_14 in arg_13:
        arg_15 = re.match(arg_14, arg_0, re.I)
        if arg_15:
            return [arg_16 for arg_16 in arg_15.groups() if arg_16][0]

    # things we don't want to match but don't want to print a WARNING
    if any(
        arg_0.startswith(arg_17) for arg_17 in
        (
            '/play-index/',
        )
    ):
        return arg_0

    print('WARNING. NO MATCH WAS FOUND FOR "{}"'.format(arg_0))
    return arg_0


def Func(**arg_0):
    """Converts kwargs given to PSF to a querystring.

    :returns: the querystring.
    """
    # start with defaults
    arg_1 = inputs_options_defaults()
    arg_2 = {
        name: dct['value']
        for name, dct in arg_1.items()
    }

    # clean up keys and values
    for arg_3, arg_4 in arg_0.items():
        del arg_0[arg_3]
        # bool => 'Y'|'N'
        if isinstance(arg_4, bool):
            arg_0[arg_3] = 'Y' if arg_4 else 'N'
        # tm, team => team_id
        elif arg_3.lower() in ('tm', 'team'):
            arg_0['team_id'] = arg_4
        # yr, year, yrs, years => year_min, year_max
        elif arg_3.lower() in ('yr', 'year', 'yrs', 'years'):
            if isinstance(arg_4, collections.Iterable):
                arg_5 = list(arg_4)
                arg_0['year_min'] = min(arg_5)
                arg_0['year_max'] = max(arg_5)
            elif isinstance(arg_4, basestring):
                arg_4 = list(map(int, arg_4.split(',')))
                arg_0['year_min'] = min(arg_4)
                arg_0['year_max'] = max(arg_4)
            else:
                arg_0['year_min'] = arg_4
                arg_0['year_max'] = arg_4
        # pos, position, positions => pos[]
        elif arg_3.lower() in ('pos', 'position', 'positions'):
            if isinstance(arg_4, basestring):
                arg_4 = arg_4.split(',')
            elif not isinstance(arg_4, collections.Iterable):
                arg_4 = [arg_4]
            arg_0['pos[]'] = arg_4
        # draft_pos, ... => draft_pos[]
        elif arg_3.lower() in (
            'draft_pos', 'draftpos', 'draftposition', 'draftpositions',
            'draft_position', 'draft_positions'
        ):
            if isinstance(arg_4, basestring):
                arg_4 = arg_4.split(',')
            elif not isinstance(arg_4, collections.Iterable):
                arg_4 = [arg_4]
            arg_0['draft_pos[]'] = arg_4
        # if not one of these cases, put it back in kwargs
        else:
            arg_0[arg_3] = arg_4

    # update based on kwargs
    for arg_3, arg_4 in arg_0.items():
        # if overwriting a default, overwrite it (with a list so the
        # opts -> querystring list comp works)
        if arg_3 in arg_2 or arg_3 in ('pos[]', 'draft_pos[]'):
            # if multiple values separated by commas, split em
            if isinstance(arg_4, basestring):
                arg_4 = arg_4.split(',')
            # otherwise, make sure it's a list
            elif not isinstance(arg_4, collections.Iterable):
                arg_4 = [arg_4]
            # then, add list of values to the querystring dict *opts*
            arg_2[arg_3] = arg_4
        if 'draft' in arg_3:
            arg_2['draft'] = [1]

    arg_2['request'] = [1]
    arg_2['offset'] = [arg_0.get('offset', 0)]

    arg_6 = '&'.join(
        '{}={}'.format(urllib.parse.quote_plus(name), val)
        for name, vals in sorted(arg_2.items()) for val in vals
    )

    return arg_6


def Func(arg_0, arg_1=None):
    """Returns the result of incrementing `version`.

    If `which` is not specified, the "patch" part of the version number will be
    incremented.  If `which` is specified, it must be ``'major'``, ``'minor'``,
    or ``'patch'``. If it is one of these three strings, the corresponding part
    of the version number will be incremented instead of the patch number.

    Returns a string representing the next version number.

    Example::

        >>> Func('2.7.1')
        '2.7.2'
        >>> Func('2.7.1', 'minor')
        '2.8.0'
        >>> Func('2.7.1', 'major')
        '3.0.0'

    """
    try:
        arg_2 = [int(arg_8) for arg_8 in arg_0.split('.')]
    except ValueError:
        fail('Current version is not numeric')
    if len(arg_2) != 3:
        fail('Current version is not semantic versioning')
    # Determine where to increment the version number
    arg_3 = {'major': 0, 'minor': 1, 'patch': 2}
    arg_4 = arg_3[arg_1] if arg_1 in arg_3 else 2
    # Increment the version number at that index and set the subsequent parts
    # to 0.
    arg_5, arg_6, arg_7 = arg_2[:arg_4], arg_2[arg_4], arg_2[arg_4 + 1:]
    arg_6 += 1
    return '.'.join(str(arg_8) for arg_8 in arg_5 + [arg_6] + arg_7)


def Func(arg_0, arg_1):
    """Gets the current version from the specified file.

    This function assumes the file includes a string of the form::

        <pattern> = <version>

    """
    with open(arg_0) as f:
        arg_2 = re.search(r"^(\s*%s\s*=\s*')(.+?)(')(?sm)" % arg_1, f.read())
    if arg_2:
        arg_3, arg_4, arg_5 = arg_2.groups()
        return arg_4
    fail('Could not find {} in {}'.format(arg_1, arg_0))


def Func(arg_0=None, arg_1=None):
    """Prints the specified message and exits the program with the specified
    exit status.

    """
    print('Error:', arg_0, file=sys.stderr)
    sys.exit(arg_1 or 1)


def Func(arg_0, arg_1, arg_2, arg_3, arg_4, arg_5, arg_6, arg_7, arg_8, arg_9):
    """
    Main function for the processes that read from the HDF5 file.

    :param self: A reference to the streamer object that created these processes.
    :param path: The HDF5 path to the node to be read from.
    :param read_size: The length of the block along the outer dimension to read.
    :param cbuf: The circular buffer to place read elements into.
    :param stop: The Event that signals the process to stop reading.
    :param barrier: The Barrier that synchonises read cycles.
    :param cyclic: True if the process should read cyclically.
    :param offset: Offset into the dataset that this process should start reading at.
    :param read_skip: How many element to skip on each iteration.
    :param sync: GuardSynchonizer to order writes to the buffer.
    :return: Nothing
    """
    # Multi-process access to HDF5 seems to behave better there are no top level imports of PyTables.
    import tables as tb
    arg_10 = tb.open_file(arg_0.filename, 'r', **arg_0.h5_kw_args)
    arg_11 = arg_10.get_node(arg_1)

    arg_12 = arg_7
    while not arg_4.is_set():
        arg_13 = arg_11[arg_12:arg_12 + arg_2]
        # If the read goes off the end of the dataset, then wrap to the start.
        if arg_12 + arg_2 > len(arg_11):
            arg_13 = np.concatenate([arg_13, arg_11[0:arg_2 - len(arg_13)]])

        if arg_9 is None:
            # If no ordering is requested, then just write to the next available space in the buffer.
            with arg_3.put_direct() as arg_14:
                arg_14[:] = arg_13
        else:
            # Otherwise, use the sync object to ensure that writes occur in the order provided by i.
            # So i = 0 will write first, then i = block_size, then i = 2*block_size, etc...
            # The sync object has two ordered barriers so that acquisition and release of the buffer spaces
            # are synchronized in order, but the actual writing to the buffer can happen simultaneously.
            # If only one barrier were used, writing to the buffer would be linearised.
            with arg_9.do(arg_3.put_direct(), arg_12, (arg_12+arg_2) % len(arg_11)) as arg_14:
                arg_14[:] = arg_13

        arg_12 += arg_8
        if arg_6:
            # If the next iteration is past the end of the dataset, wrap it around.
            if arg_12 >= len(arg_11):
                arg_12 %= len(arg_11)
                arg_5.wait()
        else:
            # But if cyclic mode is disabled, break the loop as the work is now done.
            if arg_12 + arg_2 > len(arg_11):
                break


def Func(arg_0):
        """
        Allows direct access to the buffer element.
        Blocks until there is room to write into the buffer.

        :return: A guard object that returns the buffer element.
        """

        # Once the guard is released, write_idx will be placed into read_queue.
        return arg_0.Guard(arg_0.read_queue, arg_0.arys, arg_0.__put_idx)


def Func(arg_0):
        """
        Allows direct access to the buffer element.
        Blocks until there is data that can be read.

        :return: A guard object that returns the buffer element.
        """

        arg_1 = arg_0.__get_idx()

        if arg_1 is QueueClosed:
            return QueueClosed

        # Once the guard is released, read_idx will be placed into write_queue.
        return arg_0.Guard(arg_0.write_queue, arg_0.arys, lambda: arg_1)


def Func(arg_0):
        """Close the queue, signalling that no more data can be put into the queue."""
        arg_0.read_queue.put(QueueClosed)
        arg_0.write_queue.put(QueueClosed)


def Func(arg_0, arg_1, arg_2, arg_3=False):
        """
        Get a block of data from the node at path.

        :param path: The path to the node to read from.
        :param length: The length along the outer dimension to read.
        :param last: True if the remainder elements should be read.
        :return: A copy of the requested block of data as a numpy array.
        """
        import tables
        arg_4 = tables.open_file(arg_0.filename, 'r')
        arg_5 = arg_4.get_node(arg_1)

        if len(arg_5) == 0:
            raise Exception("Cannot read from empty dataset.")

        # If the length isn't specified, then fall back to default values.
        if arg_2 is None:
            arg_6 = arg_5.chunkshape
            # If the array isn't chunked, then try to make the block close to 128KB.
            if arg_6 is None:
                arg_7 = 128*2**10//arg_5[0].nbytes  # Divides by one row of the dataset.
                arg_2 = min(arg_5.shape[0], arg_7)
            # If it is chunked, then use the chunkshape for best performance.
            else:
                arg_2 = arg_6[0]

        if arg_3:
            arg_8 = arg_5[arg_2*(len(arg_5)//arg_2):].copy()
        else:
            arg_8 = arg_5[:arg_2].copy()

        arg_4.close()
        return arg_8


def Func(arg_0, arg_1, *arg_2, **arg_3):
        """
        Get a generator that allows convenient access to the streamed data.
        Elements from the dataset are returned from the generator one row at a time.
        Unlike the direct access queue, this generator also returns the remainder elements.
        Additional arguments are forwarded to get_queue.
        See the get_queue method for documentation of these parameters.

        :param path:
        :return: A generator that iterates over the rows in the dataset.
        """
        arg_4 = arg_0.get_queue(arg_1=arg_1, *arg_2, **arg_3)

        try:
            # This generator just implements a standard access pattern for the direct access queue.
            for arg_5 in arg_4.iter():
                with arg_5 as batch:
                    arg_6 = batch.copy()

                for arg_7 in arg_6:
                    yield arg_7

            arg_8 = arg_0.get_remainder(arg_1, arg_4.block_size)
            for arg_7 in arg_8:
                yield arg_7

        finally:
            arg_4.close()


def Func(arg_0, arg_1, arg_2):
        """Func with templates' path
        parameters
          templates_path    str    the position of templates directory
          global_data       dict   globa data can be got in any templates"""
        arg_0.env = Environment(loader=FileSystemLoader(arg_1))
        arg_0.env.trim_blocks = True
        arg_0.global_data = arg_2


def Func(arg_0, **arg_1):
    """shortcut to Func data with `template`. Just add exception
    catch to `Funcer.Func`"""
    try:
        return Funcer.Func(arg_0, **arg_1)
    except JinjaTemplateNotFound as e:
        logger.error(e.__doc__ + ', Template: %r' % arg_0)
        sys.exit(e.exit_code)


def Func(arg_0):
        """
        Get the DataFrame for this view.
        Defaults to using `self.dataframe`.

        This method should always be used rather than accessing `self.dataframe`
        directly, as `self.dataframe` gets evaluated only once, and those results
        are cached for all subsequent requests.

        You may want to override this if you need to provide different
        dataframes depending on the incoming request.
        """
        assert arg_0.dataframe is not None, (
            "'%s' should either include a `dataframe` attribute, "
            "or override the `Func()` method."
            % arg_0.__class__.__name__
        )

        arg_1 = arg_0.dataframe
        return arg_1


def Func(arg_0, arg_1):
        """
        Indexes the row based on the request parameters.
        """
        return arg_1.loc[arg_0.kwargs[arg_0.lookup_url_kwarg]].to_frame().T


def Func(arg_0):
        """
        Returns the row the view is displaying.

        You may want to override this if you need to provide non-standard
        queryset lookups.  Eg if objects are referenced using multiple
        keyword arguments in the url conf.
        """
        arg_1 = arg_0.filter_dataframe(arg_0.get_dataframe())

        assert arg_0.lookup_url_kwarg in arg_0.kwargs, (
            'Expected view %s to be called with a URL keyword argument '
            'named "%s". Fix your URL conf, or set the `.lookup_field` '
            'attribute on the view correctly.' %
            (arg_0.__class__.__name__, arg_0.lookup_url_kwarg)
        )

        try:
            arg_2 = arg_0.index_row(arg_1)
        except (IndexError, KeyError, ValueError):
            raise Http404

        # May raise a permission denied
        arg_0.check_object_permissions(arg_0.request, arg_2)

        return arg_2


def Func(arg_0):
        """
        The Func instance associated with the view, or `None`.
        """
        if not hasattr(arg_0, '_Func'):
            if arg_0.pagination_class is None:
                arg_0._Func = None
            else:
                arg_0._Func = arg_0.pagination_class()
        return arg_0._Func


def Func(arg_0, arg_1):
        """
        Return a single page of results, or `None` if pagination is disabled.
        """
        if arg_0.paginator is None:
            return None
        return arg_0.paginator.Func(arg_1, arg_0.request, view=arg_0)


def Func(arg_0, arg_1):
        """parse post source files name to datetime object"""
        arg_2 = os.path.basename(arg_1)[:-src_ext_len]
        try:
            arg_3 = datetime.strptime(arg_2, "%Y-%m-%d-%H-%M")
        except ValueError:
            raise PostNameInvalid
        return {'name': arg_2, 'datetime': arg_3, 'filepath': arg_1}


def Func(arg_0):
        """watch files for changes, if changed, rebuild blog. this thread
        will quit if the main process ends"""

        try:
            while 1:
                sleep(1)  # check every 1s

                try:
                    arg_1 = arg_0.get_files_stat()
                except SystemExit:
                    logger.error("Error occurred, server shut down")
                    arg_0.shutdown_server()

                if arg_0.files_stat != arg_1:
                    logger.info("Changes detected, start rebuilding..")

                    try:
                        generator.re_generate()
                        global arg_2
                        arg_2 = generator.root
                    except SystemExit:  # catch sys.exit, it means fatal error
                        logger.error("Error occurred, server shut down")
                        arg_0.shutdown_server()

                    arg_0.files_stat = arg_1  # update files' stat
        except KeyboardInterrupt:
            # I dont know why, but this exception won't be catched
            # because absolutly each KeyboardInterrupt is catched by
            # the server thread, which will terminate this thread the same time
            logger.info("^C received, shutting down watcher")
            arg_0.shutdown_watcher()


def Func():
    """Deploy new blog to current directory"""
    logger.info(Func.__doc__)
    # `rsync -aqu path/to/res/* .`
    call(
        'rsync -aqu ' + join(dirname(__file__), 'res', '*') + ' .',
        shell=True)
    logger.success('Done')
    logger.info('Please edit config.toml to meet your needs')


def Func(arg_0, arg_1, **arg_2):
    """Parse a stream.

    Args:
        ifp (string or file-like object): input stream.
        pb_cls (protobuf.message.Message.__class__): The class object of
            the protobuf message type encoded in the stream.
    """
    arg_3 = 'rb'
    if isinstance(arg_0, str):
        arg_4 = open(arg_0, arg_3=arg_3, **arg_2)
    else:
        arg_4 = open(fileobj=arg_0, arg_3=arg_3, **arg_2)
    with arg_4:
        for arg_5 in arg_4:
            arg_6 = arg_1()
            arg_6.ParseFromString(arg_5)
            yield arg_6


def Func(arg_0, *arg_1, **arg_2):
    """Write to a stream.

    Args:
        ofp (string or file-like object): output stream.
        pb_objs (*protobuf.message.Message): list of protobuf message objects
            to be written.
    """
    arg_3 = 'wb'
    if isinstance(arg_0, str):
        arg_4 = open(arg_0, arg_3=arg_3, **arg_2)
    else:
        arg_4 = open(fileobj=arg_0, arg_3=arg_3, **arg_2)
    with arg_4:
        arg_4.write(*arg_1)


def Func(arg_0):
        """Close the stream."""
        arg_0.flush()
        if arg_0._myfd is not None:
            arg_0._myfd.Func()
            arg_0._myfd = None


def Func(arg_0, *arg_1):
        """Write a group of one or more protobuf objects to the file. Multiple
        object groups can be written by calling this method several times
        before closing stream or exiting the runtime context.

        The input protobuf objects get buffered and will be written down when
        the number of buffered objects exceed the `self._buffer_size`.

        Args:
            pb2_obj (*protobuf.message.Message): list of protobuf messages.
        """
        arg_2 = len(arg_0._Func_buff)

        for arg_3, arg_4 in enumerate(arg_1):
            if arg_0._buffer_size > 0 and \
                    (arg_3 + arg_2) != 0 and \
                    (arg_3 + arg_2) % arg_0._buffer_size == 0:
                arg_0.flush()
            arg_0._Func_buff.append(arg_4)

        if arg_0._buffer_size == 0:
            arg_0.flush()


def Func(arg_0, arg_1=False):
        """Returns joined game directory path relative to Steamapps"""
        if not arg_0.common and not arg_1:
            raise RuntimeError("Can't determine this game's directory without username")
        if arg_0.common:
            arg_2 = "common"
        else:
            arg_2 = "username"
        arg_3 = arg_0.dir
        if WIN32 or CYGWIN:
            arg_3 = arg_3.lower()
        return os.path.join(arg_2, arg_3)


def Func(arg_0, arg_1):
    '''
    Temporarily update the context to use the BlockContext for the given alias.
    '''

    # An empty alias means look in the current widget set.
    if arg_1 == '':
        yield arg_0
    else:
        try:
            arg_2 = arg_0.render_context[arg_6]
        except KeyError:
            raise template.TemplateSyntaxError('No widget libraries loaded!')

        try:
            arg_3 = arg_2[arg_1]
        except KeyError:
            raise template.TemplateSyntaxError('No widget library loaded for alias: %r' % arg_1)

        arg_0.render_context.push()
        arg_0.render_context[arg_5] = arg_3
        arg_0.render_context[arg_6] = arg_2

        yield arg_0

        arg_0.render_context.pop()


def Func(arg_0, *arg_1):
    '''
    Find the first matching block in the current block_context
    '''
    arg_2 = arg_0.render_context[BLOCK_CONTEXT_KEY]
    for arg_3 in arg_1:
        arg_4 = arg_2.get_block(arg_3)
        if arg_4 is not None:
            return arg_4

    raise template.TemplateSyntaxError('No widget found for: %r' % (arg_1,))


def Func(arg_0):
    '''Return a list of widget names for the provided field.'''
    # Auto-detect
    arg_1 = {
        'widget': arg_0.field.widget.__class__.__name__,
        'field': arg_0.field.__class__.__name__,
        'name': arg_0.name,
    }

    return [
        arg_2.format(**arg_1)
        for arg_2 in (
            '{field}_{widget}_{name}',
            '{field}_{name}',
            '{widget}_{name}',
            '{field}_{widget}',
            '{name}',
            '{widget}',
            '{field}',
        )
    ]


def Func(arg_0, arg_1, **arg_2):
    '''
    Allow Func of a block within a template.

    {% Func '_myblock' foo=bar %}

    If passed a list of block names, will use the first that matches:

    {% Func list_of_block_names .... %}
    '''
    try:
        arg_3 = arg_0.render_context[BLOCK_CONTEXT_KEY]
    except KeyError:
        arg_3 = BlockContext()

    if not isinstance(arg_1, (list, tuple)):
        arg_1 = [arg_1]

    for arg_4 in arg_1:
        arg_4 = arg_3.get_block(arg_4)
        if arg_4:
            break
    else:
        return ''

    with arg_0.push(arg_2):
        return arg_4.render(arg_0)


def Func(arg_0):
        """
        When dealing with optgroups, ensure that the value is properly force_text'd.
        """
        if not arg_0.is_group():
            return arg_0._Func
        return ((force_text(arg_1), arg_2) for arg_1, arg_2 in arg_0._Func)


def Func(arg_0, arg_1, arg_2):
        """
        Waits until conditions is True or returns a non-None value.
        If any of the trait is still not present after timeout, raises a TimeoutException.
        """
        arg_3 = time.time() + arg_0._timeout
        arg_4 = 1
        while True:
            try:
                if not hasattr(arg_1, '__call__'):
                    raise TypeError("condition is not callable")
                arg_5 = arg_1()
                if type(arg_5) is bool and arg_5 is not False:
                    return arg_5
                elif type(arg_5) is not bool and arg_5 is not None:
                    return arg_5
                else:
                    logger.debug("#" + str(arg_4) + " - wait until " + arg_2)  # pragma: no cover
            except arg_0._ignored_exceptions as ex:
                logger.debug("Captured {0} : {1}".format(str(ex.__class__).replace("<type '", "").replace("'>", ""),
                                                         str(ex)))  # pragma: no cover
            time.sleep(arg_0._poll)
            arg_4 += 1
            if time.time() > arg_3:  # pragma: no cover
                break
        raise TimeoutException(
            msg="condition <" + arg_2 + "> was not true after " + str(arg_0._timeout) + " seconds.")


def Func(arg_0, arg_1):
        """
        Waits until all traits are present.
        If any of the traits is still not present after timeout, raises a TimeoutException.
        """
        arg_2 = time.time() + arg_0._timeout
        arg_3 = 1
        arg_4 = None
        while True:
            arg_4 = []
            try:
                arg_4 = arg_1.evaluate_traits()
                if len(arg_4) == 0:
                    return True
                else:
                    logger.debug("#{0} - wait until all traits are present: <{1}>".format(str(arg_3), '> <'.join(
                        arg_4)))
            except arg_0._ignored_exceptions as ex:  # pragma: no cover
                logger.debug("Captured {0}: {1}".format(str(ex.__class__).replace("<type '", "").replace("'>", ""),
                                                        str(ex)))  # pragma: no cover
                pass  # pragma: no cover
            time.sleep(arg_0._poll)
            arg_3 += 1
            if time.time() > arg_2:
                break
        raise TimeoutException(
            msg="conditions " + '<' + '> <'.join(arg_4) + '>' + " not true after " + str(
                arg_0._timeout) + " seconds.")


def Func(arg_0, *arg_1):
        """
        Set a list of exceptions that should be ignored inside the wait loop.
        """
        for arg_2 in arg_1:
            arg_0._ignored_exceptions = arg_0._ignored_exceptions + (arg_2,)
        return arg_0


def Func(arg_0, arg_1, arg_2, arg_3='', arg_4=None, arg_5=None):
        """
        Message instances are namedtuples of type `Message`.
        The date field is already serialized in datetime.isoformat ECMA-262 format
        """
        if not arg_4:
            arg_6 = timezone.now()
        else:
            arg_6 = arg_4
        arg_7 = arg_6.isoformat()
        if arg_6.microsecond:
            arg_7 = arg_7[:23] + arg_7[26:]
        if arg_7.endswith('+00:00'):
            arg_7 = arg_7[:-6] + 'Z'

        arg_8 = arg_7 + arg_2

        arg_9 = hashlib.sha256(arg_8.encode('ascii', 'ignore')).hexdigest()
        return Message(id=arg_9, message=arg_2, arg_1=arg_1, tags=arg_3, arg_4=arg_7, arg_5=arg_5)


def Func(arg_0, arg_1, arg_2, arg_3='', arg_4=None, arg_5=None, arg_6=False):
    """
    Send a message to a list of users without passing through `django.contrib.messages`

    :param users: an iterable containing the recipients of the messages
    :param level: message level
    :param message_text: the string containing the message
    :param extra_tags: like the Django api, a string containing extra tags for the message
    :param date: a date, different than the default timezone.now
    :param url: an optional url
    :param fail_silently: not used at the moment
    """
    arg_7 = stored_messages_settings.STORAGE_BACKEND
    arg_8 = arg_7()
    arg_9 = arg_8.create_message(arg_1, arg_2, arg_3, arg_4, arg_5)
    arg_8.archive_store(arg_0, arg_9)
    arg_8.inbox_store(arg_0, arg_9)


def Func(arg_0, arg_1, arg_2='', arg_3=None, arg_4=None, arg_5=False):
    """
    Send a message to all users aka broadcast.

    :param level: message level
    :param message_text: the string containing the message
    :param extra_tags: like the Django api, a string containing extra tags for the message
    :param date: a date, different than the default timezone.now
    :param url: an optional url
    :param fail_silently: not used at the moment
    """
    from django.contrib.auth import get_user_model
    arg_6 = get_user_model().objects.all()
    add_message_for(arg_6, arg_0, arg_1, arg_2=arg_2, arg_3=arg_3, arg_4=arg_4, arg_5=arg_5)


def Func(arg_0, arg_1):
    """
    Mark message instance as read for user.
    Returns True if the message was `unread` and thus actually marked as `read` or False in case
    it is already `read` or it does not exist at all.

    :param user: user instance for the recipient
    :param message: a Message instance to mark as read
    """
    arg_2 = stored_messages_settings.STORAGE_BACKEND
    arg_3 = arg_2()
    arg_3.inbox_delete(arg_0, arg_1)


def Func(arg_0, arg_1, arg_2, arg_3=''):
        """
        If the message level was configured for being stored and request.user
        is not anonymous, save it to the database. Otherwise, let some other
        class handle the message.

        Notice: controls like checking the message is not empty and the level
        is above the filter need to be performed here, but it could happen
        they'll be performed again later if the message does not need to be
        stored.
        """
        if not arg_2:
            return
        # Check that the message level is not less than the recording level.
        arg_1 = int(arg_1)
        if arg_1 < arg_0.level:
            return
        # Check if the message doesn't have a level that needs to be persisted
        if arg_1 not in stored_messages_settings.STORE_LEVELS or arg_0.user.is_anonymous():
            return super(StorageMixin, arg_0).Func(arg_1, arg_2, arg_3)

        arg_0.Funced_new = True
        arg_5 = arg_0.backend.create_message(arg_1, arg_2, arg_3)
        arg_0.backend.archive_store([arg_0.user], arg_5)
        arg_0._queued_messages.append(arg_5)


def Func(arg_0, arg_1, arg_2, *arg_3, **arg_4):
        """
        persistent messages are already in the database inside the 'archive',
        so we can say they're already "stored".
        Here we put them in the inbox, or remove from the inbox in case the
        messages were iterated.

        messages contains only new msgs if self.used==True
        else contains both new and unread messages
        """
        arg_5 = []
        if arg_0.user.is_authenticated():
            if not arg_1:
                # erase inbox
                arg_0.backend.inbox_purge(arg_0.user)
            else:
                for arg_6 in arg_1:
                    try:
                        arg_0.backend.inboxFunc([arg_0.user], arg_6)
                    except MessageTypeNotSupported:
                        arg_5.append(arg_6)

        super(StorageMixin, arg_0).Func(arg_5, arg_2, *arg_3, **arg_4)


def Func(arg_0, arg_1):
        """
        Like the base class method, prepares a list of messages for storage
        but avoid to do this for `models.Message` instances.
        """
        for arg_2 in arg_1:
            if not arg_0.backend.can_handle(arg_2):
                arg_2._prepare()


def Func(arg_0, arg_1, arg_2=None):
        """
        Execute Main.Volume.

        Returns int
        """
        try:
            arg_3 = int(arg_0.exec_command('main', 'volume', arg_1, arg_2))
            return arg_3

        except (ValueError, TypeError):
            pass

        return None


def Func(arg_0, arg_1, arg_2=False):
        """Send a command string to the amplifier."""
        arg_3 = None
        for arg_4 in range(0, 3):
            try:
                arg_3 = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
                arg_3.connect((arg_0._host, arg_0.PORT))
                break
            except (ConnectionError, BrokenPipeError):
                if arg_4 == 3:
                    print("socket connect failed.")
                    return
                sleep(0.1)
        arg_3.send(codecs.decode(arg_1, 'hex_codec'))
        if arg_2:
            sleep(0.1)
            arg_5 = ''
            arg_4 = 0
            arg_6 = 20
            while len(arg_5) < len(arg_1) and arg_4 < arg_6:
                try:
                    arg_5 += codecs.encode(arg_3.recv(arg_0.BUFFERSIZE), 'hex')\
                        .decode("utf-8")
                except (ConnectionError, BrokenPipeError):
                    pass
                arg_4 += 1
            arg_3.close()
            if arg_4 >= arg_6:
                return
            return arg_5
        arg_3.close()


def Func(arg_0):
        """Power the device off."""
        arg_1 = arg_0.status()
        if arg_1['power']:  # Setting power off when it is already off can cause hangs
            arg_0._send(arg_0.CMD_POWERSAVE + arg_0.CMD_OFF)


def Func(arg_0):
        """Power the device on."""
        arg_1 = arg_0.status()
        if not arg_1['power']:
            arg_0._send(arg_0.CMD_ON, read_reply=True)
            sleep(0.5)


def Func(arg_0, arg_1):
        """Set volume level of the device. Accepts integer values 0-200."""
        if 0 <= arg_1 <= 200:
            arg_1 = format(arg_1, "02x")  # Convert to hex
            arg_0._send(arg_0.CMD_VOLUME + arg_1)


def Func(arg_0, arg_1):
        """Select a source from the list of sources."""
        arg_2 = arg_0.status()
        if arg_2['power']:  # Changing source when off may hang NAD7050
            if arg_2['source'] != arg_1:  # Setting the source to the current source will hang the NAD7050
                if arg_1 in arg_0.SOURCES:
                    arg_0._send(arg_0.CMD_SOURCE + arg_0.SOURCES[arg_1], read_reply=True)


def Func(arg_0=None):
    """Main entry point for script."""
    arg_1 = ver_check()
    arg_2 = arg_0 or docopt(__doc__, arg_1=arg_1)
    _set_global_verbosity_level(arg_2.get('--verbose'))
    Func_lgr.debug(arg_2)
    Func_run(arg_2)


def Func(arg_0):
    """Generates crc32. Modulo keep the value within int range."""
    if not isinstance(arg_0, six.binary_type):
        arg_0 = six.b(arg_0)
    return (zlib.crc32(arg_0) % 2147483647) & 0xffffffff


def Func(arg_0=arg_1,
         arg_2=arg_3,
         arg_4=None):
    """Funcializes a base logger

    you can use this to Func a logger in any of your files.
    this will use config.py's LOGGER param and logging.dictConfig to configure
    the logger for you.

    :param int|logging.LEVEL base_level: desired base logging level
    :param int|logging.LEVEL verbose_level: desired verbose logging level
    :param dict logging_dict: dictConfig based configuration.
     used to override the default configuration from config.py
    :rtype: `python logger`
    """
    if arg_4 is None:
        arg_4 = {}
    arg_4 = arg_4 or LOGGER
    # TODO: (IMPRV) only perform file related actions if file handler is
    # TODO: (IMPRV) defined.

    arg_5 = LOGGER['handlers']['file']['filename']
    arg_6 = os.path.dirname(os.path.expanduser(arg_5))
    if os.path.isfile(arg_6):
        sys.exit('file {0} exists - log directory cannot be created '
                 'there. please remove the file and try again.'
                 .format(arg_6))
    try:
        if not os.path.exists(arg_6) and not len(arg_6) == 0:
            os.makedirs(arg_6)
        dictconfig.dictConfig(arg_4)
        arg_7 = logging.getLogger('user')
        arg_7.setLevel(arg_0)
        return arg_7
    except ValueError as e:
        sys.exit('could not Funcialize logger.'
                 ' verify your logger config'
                 ' and permissions to write to {0} ({1})'
                 .format(arg_5, e))


def Func(arg_0, arg_1):
        """Configure an object with a user-supplied factory."""
        arg_2 = arg_1.pop('()')
        if not hasattr(arg_2, '__call__') and \
                hasattr(types, 'ClassType') and isinstance(arg_2, types.ClassType):
            arg_2 = arg_0.resolve(arg_2)
        arg_3 = arg_1.pop('.', None)
        # Check for valid identifiers
        arg_4 = dict((k, arg_1[k]) for k in arg_1 if valid_ident(k))
        arg_5 = arg_2(**arg_4)
        if arg_3:
            for arg_6, arg_7 in arg_3.items():
                setattr(arg_5, arg_6, arg_7)
        return arg_5


def Func(arg_0=False):
    """sets the global verbosity level for console and the jocker_lgr logger.

    :param bool is_verbose_output: should be output be verbose
    """
    global arg_1
    # TODO: (IMPRV) only raise exceptions in verbose mode
    arg_1 = arg_0
    if arg_1:
        jocker_lgr.setLevel(logging.DEBUG)
    else:
        jocker_lgr.setLevel(logging.INFO)


def Func(arg_0, arg_1, arg_2=None, arg_3=None,
            arg_4=False, arg_5=False, arg_6=False, arg_7=False):
    """generates a Dockerfile, builds an image and pushes it to DockerHub

    A `Dockerfile` will be generated by Jinja2 according to the `varsfile`
    imported. If build is true, an image will be generated from the
    `outputfile` which is the generated Dockerfile and committed to the
    image:tag string supplied to `build`.
    If push is true, a build will be triggered and the produced image
    will be pushed to DockerHub upon completion.

    :param string varsfile: path to file with variables.
    :param string templatefile: path to template file to use.
    :param string outputfile: path to output Dockerfile.
    :param string configfile: path to yaml file with docker-py config.
    :param bool dryrun: mock run.
    :param build: False or the image:tag to build to.
    :param push: False or the image:tag to build to. (triggers build)
    :param bool verbose: verbose output.
    """
    if arg_4 and (arg_5 or arg_6):
        jocker_lgr.error('dryrun requested, cannot build.')
        sys.exit(100)

    _set_global_verbosity_level(arg_7)
    arg_8 = Jocker(arg_0, arg_1, arg_2, arg_3, arg_4,
               arg_5, arg_6)
    arg_9 = arg_8.generate()
    if arg_4:
        arg_10 = arg_8.dryrun(arg_9)
    if arg_5 or arg_6:
        arg_8.build_image()
    if arg_6:
        arg_8.push_image()
    if arg_4:
        return arg_10


def Func(arg_0, arg_1):
        """since the push process outputs a single unicode string consisting of
        multiple JSON formatted "status" lines, we need to parse it so that it
        can be read as multiple strings.

        This will receive the string as an input, count curly braces and ignore
        any newlines. When the curly braces stack is 0, it will append the
        entire string it has read up until then to a list and so forth.

        :param string: the string to parse
        :rtype: list of JSON's
        """
        arg_2 = 0
        arg_3 = []
        arg_4 = ''
        for arg_5 in arg_1:
            if not arg_5 == '\r' and not arg_5 == '\n':
                arg_4 += arg_5
            if arg_5 == '{':
                arg_2 += 1
            elif arg_5 == '}':
                arg_2 -= 1
            if arg_2 == 0:
                if not len(arg_4) == 0:
                    arg_3.append(arg_4)
                arg_4 = ''
        return arg_3


def Func(arg_0, arg_1=None):
    """
    Template filter that Funcs whatever text it is applied to. The text is
    supposed to be a URL, but it will Func anything.

    Usage:
        Extremely unfriendly URL:
        {{ "/my-secret-path/"|Func }}

        Include some SEO juice:
        {{ "/my-secret-path/"|Func:"some SEO friendly text" }}
    """
    if not settings.UNFRIENDLY_ENABLE_FILTER:
        return arg_0
    arg_2 = {
        'key': encrypt(arg_0,
                       settings.UNFRIENDLY_SECRET,
                       settings.UNFRIENDLY_IV,
                       checksum=settings.UNFRIENDLY_ENFORCE_CHECKSUM),
    }
    if arg_1:
        arg_2['juice'] = slugify(arg_1)
    return reverse('unfriendly-deFunc', arg_2=arg_2)


def Func(arg_0,arg_1):
		'''
		It will return all hyper links found in the mr-jatt page for download
		'''
		arg_2=BeautifulSoup(arg_1)
		arg_3=[]
		arg_4=arg_2.findAll('a','touch')
		for arg_5 in xrange(len(arg_4)-1):
			arg_6 = arg_4[arg_5].get('href')
			arg_7 = arg_4[arg_5]
			arg_7 = str(arg_7)
			arg_7=re.sub(r'||||||','',arg_7)
			arg_7=re.sub(r'^[0-9]+\.','',arg_7)
			arg_3.append([arg_6,arg_7])

		#quit()
		return arg_3