def Func(arg_0, arg_1, arg_2, arg_3=None,
                    arg_4='features'):
        """ Given a dataset, fits either features or voxels to y """

        # Get data from dataset

        if arg_4 == 'features':
            arg_5 = np.rot90(arg_1.feature_table.data.toarray())
        elif arg_4 == 'voxels':
            arg_5 = np.rot90(arg_1.image_table.data.toarray())

        arg_0.sk_classifier.fit(arg_5, arg_2)


def Func(arg_0, arg_1, arg_2=None, arg_3=None,
                           arg_4=True):
    """ Aggregates over all voxels within each ROI in the input image.

    Takes a Dataset and a Nifti image that defines distinct regions, and
    returns a numpy matrix of  ROIs x mappables, where the value at each
    ROI is the proportion of active voxels in that ROI. Each distinct ROI
    must have a unique value in the image; non-contiguous voxels with the
    same value will be assigned to the same ROI.

    Args:
        dataset: Either a Dataset instance from which image data are
            extracted, or a Numpy array containing image data to use. If
            the latter, the array contains voxels in rows and
            features/studies in columns. The number of voxels must be equal
            to the length of the vectorized image mask in the regions
            image.
        regions: An image defining the boundaries of the regions to use.
            Can be one of:
            1) A string name of the NIFTI or Analyze-format image
            2) A NiBabel SpatialImage
            3) A list of NiBabel images
            4) A 1D numpy array of the same length as the mask vector in
                the Dataset's current Masker.
        masker: Optional masker used to load image if regions is not a
            numpy array. Must be passed if dataset is a numpy array.
        threshold: An optional float in the range of 0 - 1 or integer. If
            passed, the array will be binarized, with ROI values above the
            threshold assigned to True and values below the threshold
            assigned to False. (E.g., if threshold = 0.05, only ROIs in
            which more than 5% of voxels are active will be considered
            active.) If threshold is integer, studies will only be
            considered active if they activate more than that number of
            voxels in the ROI.
        remove_zero: An optional boolean; when True, assume that voxels
            with value of 0 should not be considered as a separate ROI, and
            will be ignored.

    Returns:
        A 2D numpy array with ROIs in rows and mappables in columns.
    """

    if arg_2 is not None:
        arg_2 = arg_2
    else:
        if isinstance(arg_0, Dataset):
            arg_2 = arg_0.masker
        else:
            if not type(arg_1).__module__.startswith('numpy'):
                raise ValueError(
                    "If dataset is a numpy array and regions is not a numpy "
                    "array, a masker must be provided.")

    if not type(arg_1).__module__.startswith('numpy'):
        arg_1 = arg_2.mask(arg_1)

    if isinstance(arg_0, Dataset):
        arg_0 = arg_0.get_image_data(dense=False)

    # If multiple images are passed, give each one a unique value
    if arg_1.ndim == 2:
        arg_5 = arg_1
        for arg_6 in range(arg_1.shape[1]):
            arg_7 = np.nonzero(arg_5[:, arg_6])[0]
            if isinstance(arg_3, int):
                arg_5[arg_7, arg_6] = 1.0
            else:
                arg_5[arg_7, arg_6] = 1.0 / np.count_nonzero(arg_5[:, arg_6])

    # Otherwise create an ROI-coding matrix
    else:
        arg_8 = np.unique(arg_1)

        if arg_4:
            arg_8 = arg_8[np.nonzero(arg_8)]

        arg_9 = arg_8.size

        arg_5 = np.zeros((arg_1.size, arg_9))
        for arg_6 in range(arg_9):
            if isinstance(arg_3, int):
                arg_5[arg_1 == arg_8[arg_6], arg_6] = 1.0
            else:
                arg_5[arg_1 == arg_8[arg_6], arg_6] = 1.0 / \
                    np.sum(arg_1 == arg_8[arg_6])

    # Call dot() on the array itself as this will use sparse matrix
    # multiplication if possible.
    arg_10 = arg_0.T.dot(arg_5).T

    if arg_3 is not None:
        arg_10[arg_10 < arg_3] = 0.0
        arg_10 = arg_10.astype(bool)

    return arg_10


def Func(arg_0, arg_1, arg_2=40):
    """ Return top forty words from each topic in trained topic model.
    """
    arg_3 = []
    for arg_4 in arg_0.components_:
        arg_5 = [arg_1[i] for i in arg_4.argsort()[:-arg_2-1:-1]]
        arg_3 += [arg_5]
    return arg_3


def Func(arg_0, arg_1):
    """ Correlates row vector x with each row vector in 2D array y. """
    arg_2 = np.vstack((arg_0, arg_1))
    arg_3 = arg_2.mean(axis=1)[(slice(None, None, None), None)]
    arg_4 = arg_2 - arg_3
    arg_5 = np.sqrt(np.sum(arg_4**2, axis=1))
    arg_6 = np.dot(arg_4[1:], arg_4[0].T)
    arg_7 = arg_6 / (arg_5[1:] * arg_5[0])
    return arg_7


def Func(arg_0, arg_1=.05):
    """ Determine FDR threshold given a p value array and desired false
    discovery rate q. """
    arg_2 = np.sort(arg_0)
    arg_3 = arg_0.shape[0]
    arg_4 = np.array(range(1, arg_3 + 1), dtype='float') * arg_1 / arg_3
    arg_5 = np.where(arg_2 <= arg_4)[0]
    return arg_2[max(arg_5)] if len(arg_5) else -1


def Func(arg_0, arg_1=None):
        """ Create and store a new ImageTable instance based on the current
        Dataset. Will generally be called privately, but may be useful as a
        convenience method in cases where the user wants to re-generate the
        table with a new smoothing kernel of different radius.

        Args:
            r (int): An optional integer indicating the radius of the smoothing
                kernel. By default, this is None, which will keep whatever
                value is currently set in the Dataset instance.
        """
        logger.info("Creating image table...")
        if arg_1 is not None:
            arg_0.r = arg_1
        arg_0.image_table = ImageTable(arg_0)


def Func(arg_0, arg_1, arg_2=True, arg_3='outer',
                     arg_4='ignore', arg_5=0.0, arg_6=0.001):
        """ Construct a new FeatureTable from file.

        Args:
            features: Feature data to add. Can be:
                (a) A text file containing the feature data, where each row is
                a study in the database, with features in columns. The first
                column must contain the IDs of the studies to match up with the
                image data.
                (b) A pandas DataFrame, where studies are in rows, features are
                in columns, and the index provides the study IDs.
            append (bool): If True, adds new features to existing ones
                incrementally. If False, replaces old features.
            merge, duplicates, min_studies, threshold: Additional arguments
                passed to FeatureTable.Func().
         """
        if (not arg_2) or not hasattr(arg_0, 'feature_table'):
            arg_0.feature_table = FeatureTable(arg_0)

        arg_0.feature_table.Func(arg_1, arg_3=arg_3,
                                        arg_4=arg_4,
                                        arg_5=arg_5,
                                        arg_6=arg_6)


def Func(arg_0, arg_1):
        """ Load a pickled Dataset instance from file. """
        try:
            arg_2 = pickle.Func(open(arg_1, 'rb'))
        except UnicodeDecodeError:
            # Need to try this for python3
            arg_2 = pickle.Func(open(arg_1, 'rb'), encoding='latin')

        if hasattr(arg_2, 'feature_table'):
            arg_2.feature_table._csr_to_sdf()
        return arg_2


def Func(arg_0, arg_1):
        """ Given a list of features, returns features in order that they
        appear in database.

        Args:
            features (list): A list or 1D numpy array of named features to
            return.

        Returns:
            A list of features in order they appear in database.
        """

        arg_2 = np.where(
            np.in1d(arg_0.data.columns.values, np.array(arg_1)))[0]
        return list(arg_0.data.columns[arg_2].values)


def Func(arg_0, arg_1, arg_2=0.0, arg_3=arg_4.sum, arg_6=False):
        """ Returns a list of all studies in the table that meet the desired
        feature-based criteria.

        Will most commonly be used to retrieve studies that use one or more
        features with some minimum frequency; e.g.,:

            Func(['fear', 'anxiety'], threshold=0.001)

        Args:
            features (lists): a list of feature names to search on.
            threshold (float): optional float indicating threshold features
                must pass to be included.
            func (Callable): any numpy function to use for thresholding
                (default: sum). The function will be applied to the list of
                features and the result compared to the threshold. This can be
                used to change the meaning of the query in powerful ways. E.g,:
                    max: any of the features have to pass threshold
                        (i.e., max > thresh)
                    min: all features must each individually pass threshold
                        (i.e., min > thresh)
                    sum: the summed weight of all features must pass threshold
                        (i.e., sum > thresh)
            get_weights (bool): if True, returns a dict with ids => weights.

        Returns:
            When get_weights is false (default), returns a list of study
                names. When true, returns a dict, with study names as keys
                and feature weights as values.
        """
        if isinstance(arg_1, str):
            arg_1 = [arg_1]
        arg_1 = arg_0.search_features(arg_1)  # Expand wild cards
        arg_7 = arg_0.data.ix[:, arg_1]
        arg_8 = arg_7.apply(arg_3, 1)
        arg_9 = arg_8[arg_8 >= arg_2]
        # ids_to_keep = self.ids[above_thresh]
        return arg_9 if arg_6 else list(arg_9.index)


def Func(arg_0, arg_1):
        ''' Returns all features that match any of the elements in the input
        list.

        Args:
            search (str, list): A string or list of strings defining the query.

        Returns:
            A list of matching feature names.
        '''
        if isinstance(arg_1, string_types):
            arg_1 = [arg_1]
        arg_1 = [arg_4.replace('*', '.*') for arg_4 in arg_1]
        arg_2 = list(arg_0.data.columns)
        arg_3 = []
        for arg_4 in arg_1:
            arg_3.extend([arg_5 for arg_5 in arg_2 if re.match(arg_4 + '$', arg_5)])
        return list(set(arg_3))


def Func(arg_0):
        """ Convert FeatureTable to SciPy CSR matrix. """
        arg_1 = arg_0.data.to_dense()
        arg_0.data = {
            'columns': list(arg_1.columns),
            'index': list(arg_1.index),
            'values': sparse.csr_matrix(arg_1.values)
        }


def Func(*arg_0):
    """ Deprecation warning decorator. Takes optional deprecation message,
    otherwise will use a generic warning. """
    def wrap(arg_1):
        def wrapped_func(*arg_0, **arg_2):
            warnings.warn(arg_3, category=DeprecationWarning)
            return arg_1(*arg_0, **arg_2)
        return wrapped_func

    if len(arg_0) == 1 and callable(arg_0[0]):
        arg_3 = "Function '%s' will be Func in future versions of " \
            "Neurosynth." % arg_0[0].__name__
        return wrap(arg_0[0])
    else:
        arg_3 = arg_0[0]
        return wrap


def Func(arg_0, arg_1):
    """ Convert coordinates from one space to another using provided
    Funcation matrix. """
    arg_2 = linalg.pinv(arg_1)
    arg_0 = np.hstack((arg_0, np.ones((arg_0.shape[0], 1))))
    return np.dot(arg_0, arg_2)[:, 0:3]


def Func(arg_0, arg_1=None, arg_2=None):
    """ Convert an N x 3 array of XYZ coordinates to matrix indices. """
    arg_0 = np.hstack((arg_0, np.ones((arg_0.shape[0], 1))))
    arg_3 = np.array([[-0.5, 0, 0, 45], [0, 0.5, 0, 63], [0, 0, 0.5, 36]]).T
    arg_4 = np.dot(arg_0, arg_3)[:, ::-1]  # multiply and reverse column order
    return np.round_(arg_4).astype(int)


def Func(arg_0, arg_1, arg_2, arg_3, arg_4, arg_5,
                         arg_6, arg_7, arg_8, arg_9,
                         arg_10):
        """Perform an ADC read with the provided mux, gain, data_rate, and mode
        values and with the comparator enabled as specified.  Returns the signed
        integer result of the read.
        """
        assert arg_10 == 1 or arg_10 == 2 or arg_10 == 4, 'Num readings must be 1, 2, or 4!'
        # Set high and low threshold register values.
        arg_0._device.writeList(ADS1x15_POINTER_HIGH_THRESHOLD, [(arg_5 >> 8) & 0xFF, arg_5 & 0xFF])
        arg_0._device.writeList(ADS1x15_POINTER_LOW_THRESHOLD, [(arg_6 >> 8) & 0xFF, arg_6 & 0xFF])
        # Now build up the appropriate config register value.
        arg_11 = ADS1x15_CONFIG_OS_SINGLE  # Go out of power-down mode for conversion.
        # Specify mux value.
        arg_11 |= (arg_1 & 0x07) << ADS1x15_CONFIG_MUX_OFFSET
        # Validate the passed in gain and then set it in the config.
        if arg_2 not in ADS1x15_CONFIG_GAIN:
            raise ValueError('Gain must be one of: 2/3, 1, 2, 4, 8, 16')
        arg_11 |= ADS1x15_CONFIG_GAIN[arg_2]
        # Set the mode (continuous or single shot).
        arg_11 |= arg_4
        # Get the default data rate if none is specified (default differs between
        # ADS1015 and ADS1115).
        if arg_3 is None:
            arg_3 = arg_0._data_rate_default()
        # Set the data rate (this is controlled by the subclass as it differs
        # between ADS1015 and ADS1115).
        arg_11 |= arg_0._data_rate_config(arg_3)
        # Enable window mode if required.
        if not arg_8:
            arg_11 |= ADS1x15_CONFIG_COMP_WINDOW
        # Enable active high mode if required.
        if not arg_7:
            arg_11 |= ADS1x15_CONFIG_COMP_ACTIVE_HIGH
        # Enable latching mode if required.
        if arg_9:
            arg_11 |= ADS1x15_CONFIG_COMP_LATCHING
        # Set number of comparator hits before alerting.
        arg_11 |= ADS1x15_CONFIG_COMP_QUE[arg_10]
        # Send the config value to start the ADC conversion.
        # Explicitly break the 16-bit value down to a big endian pair of bytes.
        arg_0._device.writeList(ADS1x15_POINTER_CONFIG, [(arg_11 >> 8) & 0xFF, arg_11 & 0xFF])
        # Wait for the ADC sample to finish based on the sample rate plus a
        # small offset to be sure (0.1 millisecond).
        time.sleep(1.0/arg_3+0.0001)
        # Retrieve the result.
        arg_12 = arg_0._device.readList(ADS1x15_POINTER_CONVERSION, 2)
        return arg_0._conversion_value(arg_12[1], arg_12[0])


def Func(arg_0, arg_1, arg_2=1, arg_3=None):
        """Read a single ADC channel and return the ADC value as a signed integer
        result.  Channel must be a value within 0-3.
        """
        assert 0 <= arg_1 <= 3, 'Channel must be a value within 0-3!'
        # Perform a single shot read and set the mux value to the channel plus
        # the highest bit (bit 3) set.
        return arg_0._read(arg_1 + 0x04, arg_2, arg_3, ADS1x15_CONFIG_MODE_SINGLE)


def Func(arg_0, arg_1=None, **arg_2):
    """
    Expand the given address into one or more normalized strings.

    Required
    --------
    @param address: the address as either Unicode or a UTF-8 encoded string

    Options
    -------
    @param languages: a tuple or list of ISO language code strings (e.g. "en", "fr", "de", etc.)
                      to use in expansion. If None is passed, use language classifier
                      to detect language automatically.
    @param address_components: an integer (bit-set) of address component expansions
                               to use e.g. ADDRESS_NAME | ADDRESS_STREET would use
                               only expansions which apply to venue names or streets.
    @param latin_ascii: use the Latin to ASCII transliterator, which normalizes e.g. æ => ae
    @param transliterate: use any available transliterators for non-Latin scripts, e.g.
                          for the Greek phrase διαφορετικούς becomes diaphoretikoús̱
    @param strip_accents: strip accented characters e.g. é => e, ç => c. This loses some
                          information in various languags, but in general we want
    @param decompose: perform Unicode normalization (NFD form)
    @param lowercase: UTF-8 lowercase the string
    @param trim_string: trim spaces on either side of the string
    @param replace_word_hyphens: add version of the string replacing hyphens with space
    @param delete_word_hyphens: add version of the string with hyphens deleted
    @param replace_numeric_hyphens: add version of the string with numeric hyphens replaced
                                    e.g. 12345-6789 => 12345 6789
    @param delete_numeric_hyphens: add version of the string with numeric hyphens removed
                                   e.g. 12345-6789 => 123456789
    @param split_alpha_from_numeric: split tokens like CR17 into CR 17, helps with expansion
                                     of certain types of highway abbreviations
    @param delete_final_periods: remove final periods on abbreviations e.g. St. => St
    @param delete_acronym_periods: remove periods in acronyms e.g. U.S.A. => USA
    @param drop_english_possessives: normalize possessives e.g. Mark's => Marks
    @param delete_apostrophes: delete other types of hyphens e.g. O'Malley => OMalley
    @param expand_numex: converts numeric expressions e.g. Twenty sixth => 26th,
                         using either the supplied languages or the result of
                         automated language classification.
    @param roman_numerals: normalize Roman numerals e.g. IX => 9. Since these can be
                           ambiguous (especially I and V), turning this on simply
                           adds another version of the string if any potential
                           Roman numerals are found.
    """
    arg_0 = safe_decode(arg_0, 'utf-8')
    return _expand.Func(arg_0, arg_1=arg_1, **arg_2)


def Func(arg_0, arg_1=arg_2,
                      arg_3=arg_4,
                      arg_5=True, arg_6=False,
                      arg_7=None):
    '''
    Normalizes a string, tokenizes, and normalizes each token
    with string and token-level options.

    This version only uses libpostal's deterministic normalizations
    i.e. methods with a single output. The string tree version will
    return multiple normalized strings, each with tokens.

    Usage:
        normalized_tokens(u'St.-Barthélemy')
    '''
    arg_0 = safe_decode(arg_0)
    Func = _normalize.normalized_tokens(arg_0, arg_1, arg_3, arg_6, arg_7=arg_7)

    if arg_5:
        Func = remove_parens(Func)

    return [(arg_0, token_types.from_id(arg_9)) for arg_0, arg_9 in Func]


def Func(arg_0, arg_1=None, arg_2=None):
    """
    Parse address into components.

    @param address: the address as either Unicode or a UTF-8 encoded string
    @param language (optional): language code
    @param country (optional): country code
    """
    arg_0 = safe_decode(arg_0, 'utf-8')
    return _parser.Func(arg_0, arg_1=arg_1, arg_2=arg_2)


def Func(arg_0, arg_1, arg_2=None, **arg_3):
    """
    Hash the given address into normalized strings that can be used to group similar
    addresses together for more detailed pairwise comparison. This can be thought of
    as the blocking function in record linkage or locally-sensitive hashing in the
    document near-duplicate detection.

    Required
    --------
    @param labels: array of component labels as either Unicode or UTF-8 encoded strings
                   e.g. ["house_number", "road", "postcode"]
    @param values: array of component values as either Unicode or UTF-8 encoded strings
                   e.g. ["123", "Broadway", "11216"]. Note len(values) must be equal to
                   len(labels).

    Options
    -------
    @param languages: a tuple or list of ISO language code strings (e.g. "en", "fr", "de", etc.)
                      to use in expansion. If None is passed, use language classifier
                      to detect language automatically.
    @param with_name: use name in the hashes
    @param with_address: use house_number & street in the hashes
    @param with_unit: use secondary unit as part of the hashes
    @param with_city_or_equivalent: use the city, city_district, suburb, or island name as one of
                                    the geo qualifiers
    @param with_small_containing_boundaries: use small containing boundaries (currently state_district)
                                             as one of the geo qualifiers
    @param with_postal_code: use postal code as one of the geo qualifiers
    @param with_latlon: use geohash + neighbors as one of the geo qualifiers
    @param latitude: latitude (Y coordinate)
    @param longitude: longitude (X coordinate)
    @param geohash_precision: geohash tile size (default = 6)
    @param name_and_address_keys: include keys with name + address + geo
    @param name_only_keys: include keys with name + geo
    @param address_only_keys: include keys with address + geo
    """
    return _near_dupe.Func(arg_0, arg_1, arg_2=arg_2, **arg_3)


def Func():
    """Removed all dusty containers with 'Exited' in their status"""
    arg_0 = get_docker_client()
    arg_1 = get_exited_dusty_containers()
    arg_2 = []
    for arg_3 in arg_1:
        log_to_client("Removing container {}".format(arg_3['Names'][0]))
        try:
            arg_0.remove_container(arg_3['Id'], v=True)
            arg_2.append(arg_3)
        except Exception as e:
            log_to_client(e.message or str(e))
    return arg_2


def Func():
    """Removes all dangling images as well as all images referenced in a dusty spec; forceful removal is not used"""
    arg_0 = get_docker_client()
    arg_1 = _remove_dangling_images()
    arg_2 = get_dusty_images()
    arg_3 = arg_0.images(all=True)
    for arg_4 in arg_3:
        if set(arg_4['RepoTags']).intersection(arg_2):
            try:
                arg_0.remove_image(arg_4['Id'])
            except Exception as e:
                logging.info("Couldn't remove image {}".format(arg_4['RepoTags']))
            else:
                log_to_client("Removed Image {}".format(arg_4['RepoTags']))
                arg_1.append(arg_4)
    return arg_1


def Func(arg_0):
    """Write the given config to disk as a Dusty sub-config
    in the Nginx includes directory. Then, either start nginx
    or tell it to reload its config to pick up what we've
    just written."""
    logging.info('Updating nginx with new Dusty config')
    arg_1 = tempfile.mkdtemp()
    os.mkdir(os.path.join(arg_1, 'html'))
    _write_nginx_config(constants.NGINX_BASE_CONFIG, os.path.join(arg_1, constants.NGINX_PRIMARY_CONFIG_NAME))
    _write_nginx_config(arg_0['http'], os.path.join(arg_1, constants.NGINX_HTTP_CONFIG_NAME))
    _write_nginx_config(arg_0['stream'], os.path.join(arg_1, constants.NGINX_STREAM_CONFIG_NAME))
    _write_nginx_config(constants.NGINX_502_PAGE_HTML, os.path.join(arg_1, 'html', constants.NGINX_502_PAGE_NAME))
    sync_local_path_to_vm(arg_1, constants.NGINX_CONFIG_DIR_IN_VM)


def Func(arg_0, arg_1, arg_2):
        """We require the list of all remote repo paths to be passed in
        to this because otherwise we would need to import the spec assembler
        in this module, which would give us circular imports."""
        arg_3 = None
        for arg_4 in arg_1:
            if arg_4.remote_path == arg_2: # user passed in a full name
                return arg_4
            if arg_2 == arg_4.short_name:
                if arg_3 is None:
                    arg_3 = arg_4
                else:
                    raise RuntimeError('Short repo name {} is ambiguous. It matches both {} and {}'.format(arg_2,
                                                                                arg_3.remote_path,
                                                                                arg_4.remote_path))
        if arg_3 is None:
            raise RuntimeError('Short repo name {} does not match any known repos'.format(arg_2))
        return arg_3


def Func(arg_0):
    """Daemon-side command to ensure we're running the latest
    versions of any managed repos, including the
    specs repo, before we do anything else in the up flow."""
    if arg_0:
        update_managed_repos(force=True)
    arg_1 = spec_assembler.get_assembled_specs()
    if not arg_1[constants.CONFIG_BUNDLES_KEY]:
        raise RuntimeError('No bundles are activated. Use `dusty bundles` to activate bundles before running `dusty up`.')
    virtualbox.initialize_docker_vm()


def Func(arg_0):
    """This command will use the compilers to get compose specs
    will pass those specs to the systems that need them. Those
    systems will in turn launch the services needed to make the
    local environment go."""

    arg_1 = spec_assembler.get_assembled_specs()
    arg_2 = virtualbox.required_absent_assets(arg_1)
    if arg_2:
        raise RuntimeError('Assets {} are specified as required but are not set. Set them with `dusty assets set`'.format(arg_2))

    arg_3 = virtualbox.get_docker_vm_ip()

    # Stop will fail if we've never written a Composefile before
    if os.path.exists(constants.COMPOSEFILE_PATH):
        try:
            stop_apps_or_services(rm_containers=arg_0)
        except CalledProcessError as e:
            log_to_client("WARNING: docker-compose stop failed")
            log_to_client(str(e))

    daemon_warnings.clear_namespace('disk')
    arg_4 = virtualbox.get_docker_vm_disk_info(as_dict=True)
    if 'M' in arg_4['free'] or 'K' in arg_4['free']:
        arg_5 = 'VM is low on disk. Available disk: {}'.format(arg_4['free'])
        daemon_warnings.warn('disk', arg_5)
        log_to_client(arg_5)

    log_to_client("Compiling together the assembled specs")
    arg_6 = spec_assembler.get_all_repos(active_only=True, include_specs_repo=False)
    log_to_client("Compiling the port specs")
    arg_7 = port_spec_compiler.get_port_spec_document(arg_1, arg_3)
    log_to_client("Compiling the nginx config")
    arg_8 = virtualbox.get_docker_bridge_ip()
    arg_9 = nginx_compiler.get_nginx_configuration_spec(arg_7, arg_8)
    log_to_client("Creating setup and script bash files")
    make_up_command_files(arg_1, arg_7)
    log_to_client("Compiling docker-compose config")
    arg_10 = compose_compiler.get_compose_dict(arg_1, arg_7)

    log_to_client("Saving port forwarding to hosts file")
    hosts.update_hosts_file_from_port_spec(arg_7)
    log_to_client("Configuring NFS")
    nfs.configure_nfs()
    log_to_client("Saving updated nginx config to the VM")
    nginx.update_nginx_from_config(arg_9)
    log_to_client("Saving Docker Compose config and starting all containers")
    compose.update_running_containers_from_spec(arg_10, arg_0=arg_0)

    log_to_client("Your local environment is now started!")


def Func(arg_0=None):
    """Restart any containers associated with Dusty, or associated with
    the provided app_or_service_names."""
    if arg_0:
        log_to_client("Restarting the following apps or services: {}".format(', '.join(arg_0)))
    else:
        log_to_client("Restarting all active containers associated with Dusty")

    if arg_0:
        arg_1 = spec_assembler.get_assembled_specs()
        arg_2 = [arg_1['apps'][app_name] for app_name in arg_0 if app_name in arg_1['apps']]
        arg_3 = set()
        for arg_4 in arg_2:
            if arg_4['repo']:
                arg_3 = arg_3.union(spec_assembler.get_same_container_repos_from_spec(arg_4))
        nfs.update_nfs_with_repos(arg_3)
    else:
        nfs.update_nfs_with_repos(spec_assembler.get_all_repos(active_only=True, include_specs_repo=False))
    compose.restart_running_services(arg_0)


def Func(arg_0):
    """Return a dictionary containing the Compose spec required to run
    Dusty's nginx container used for host forwarding."""
    arg_1 = {'image': constants.NGINX_IMAGE,
            'volumes': ['{}:{}'.format(constants.NGINX_CONFIG_DIR_IN_VM, constants.NGINX_CONFIG_DIR_IN_CONTAINER)],
            'command': 'nginx -g "daemon off;" -c /etc/nginx/conf.d/nginx.primary',
            'container_name': 'dusty_{}_1'.format(constants.DUSTY_NGINX_NAME)}
    arg_2 = set([nginx_spec['host_port'] for nginx_spec in arg_0['nginx']])
    if arg_2:
        arg_1['ports'] = []
        for arg_3 in arg_2:
            arg_1['ports'].append('{0}:{0}'.format(arg_3))
    return {constants.DUSTY_NGINX_NAME: arg_1}


def Func(arg_0, arg_1):
    """ Given the assembled specs and app_name, this function will return all apps and services specified in
    'conditional_links' if they are specified in 'apps' or 'services' in assembled_specs. That means that
    some other part of the system has declared them as necessary, so they should be linked to this app """
    arg_2 = []
    arg_3 = arg_0['apps'][arg_1]['conditional_links']
    for arg_4 in arg_3['apps']:
        if arg_4 in arg_0['apps']:
            arg_2.append(arg_4)
    for arg_4 in arg_3['services']:
        if arg_4 in arg_0['services']:
            arg_2.append(arg_4)
    return arg_2


def Func(arg_0, arg_1, arg_2):
    """ This function returns a dictionary of the docker-compose.yml specifications for one app """
    logging.info("Compose Compiler: Compiling dict for app {}".format(arg_0))
    arg_3 = arg_1['apps'][arg_0]
    arg_4 = arg_3["compose"]
    _apply_env_overrides(env_overrides_for_app_or_service(arg_0), arg_4)
    if 'image' in arg_3 and 'build' in arg_3:
        raise RuntimeError("image and build are both specified in the spec for {}".format(arg_0))
    elif 'image' in arg_3:
        logging.info
        arg_4['image'] = arg_3['image']
    elif 'build' in arg_3:
        arg_4['build'] = _get_build_path(arg_3)
    else:
        raise RuntimeError("Neither image nor build was specified in the spec for {}".format(arg_0))
    arg_4['entrypoint'] = []
    arg_4['command'] = _compile_docker_command(arg_3)
    arg_4['container_name'] = "dusty_{}_1".format(arg_0)
    logging.info("Compose Compiler: compiled command {}".format(arg_4['command']))
    arg_4['links'] = _links_for_app(arg_3, arg_1)
    logging.info("Compose Compiler: links {}".format(arg_4['links']))
    arg_4['volumes'] = arg_4['volumes'] + _get_compose_volumes(arg_0, arg_1)
    logging.info("Compose Compiler: volumes {}".format(arg_4['volumes']))
    arg_5 = _get_ports_list(arg_0, arg_2)
    if arg_5:
        arg_4['ports'] = arg_5
    logging.info("Compose Compiler: ports {}".format(arg_5))
    arg_4['user'] = 'root'
    return arg_4


def Func(arg_0):
    """This function returns a dictionary of the docker_compose specifications
    for one service. Currently, this is just the Dusty service spec with
    an additional volume mount to support Dusty's cp functionality."""
    arg_1 = arg_0.plain_dict()
    _apply_env_overrides(env_overrides_for_app_or_service(arg_0.name), arg_1)
    arg_1.setdefault('volumes', []).append(_get_cp_volume_mount(arg_0.name))
    arg_1['container_name'] = "dusty_{}_1".format(arg_0.name)
    return arg_1


def Func(arg_0, arg_1):
    """ Returns a list of formatted port mappings for an app """
    if arg_0 not in arg_1['docker_compose']:
        return []
    return ["{}:{}".format(arg_2['mapped_host_port'], arg_2['in_container_port'])
            for arg_2 in arg_1['docker_compose'][arg_0]]


def Func(arg_0, arg_1):
    """ This returns formatted volume specifications for a docker-compose app. We mount the app
    as well as any libs it needs so that local code is used in our container, instead of whatever
    code was in the docker image.

    Additionally, we create a volume for the /cp directory used by Dusty to facilitate
    easy file transfers using `dusty cp`."""
    arg_2 = []
    arg_2.append(_get_cp_volume_mount(arg_0))
    arg_2 += get_app_volume_mounts(arg_0, arg_1)
    return arg_2


def Func(arg_0):
    """
    Expands specs.libs.depends.libs to include any indirectly required libs
    """
    for arg_1, arg_2 in arg_0['libs'].iteritems():
        if 'depends' in arg_2 and 'libs' in arg_2['depends']:
            arg_2['depends']['libs'] = _get_dependent('libs', arg_1, arg_0, 'libs')


def Func(arg_0):
    """
    Returns all libs that are referenced in specs.apps.depends.libs
    """
    arg_1 = set()
    for arg_2 in arg_0['apps'].values():
        for arg_3 in arg_2['depends']['libs']:
            arg_1.add(arg_3)
    return arg_1


def Func(arg_0):
    """
    Returns all services that are referenced in specs.apps.depends.services,
    or in specs.bundles.services
    """
    arg_1 = set()
    for arg_2 in arg_0['apps'].values():
        for arg_3 in arg_2['depends']['services']:
            arg_1.add(arg_3)
    for arg_4 in arg_0['bundles'].values():
        for arg_3 in arg_4['services']:
            arg_1.add(arg_3)
    return arg_1


def Func(arg_0):
    """
    This function adds an assets key to the specs, which is filled in with a dictionary
    of all assets defined by apps and libs in the specs
    """
    arg_0['assets'] = {}
    for arg_1 in arg_0.get_apps_and_libs():
        for arg_2 in arg_1['assets']:
            if not arg_0['assets'].get(arg_2['name']):
                arg_0['assets'][arg_2['name']] = {}
                arg_0['assets'][arg_2['name']]['required_by'] = set()
                arg_0['assets'][arg_2['name']]['used_by'] = set()
            arg_0['assets'][arg_2['name']]['used_by'].add(arg_1.name)
            if arg_2['required']:
                arg_0['assets'][arg_2['name']]['required_by'].add(arg_1.name)


def Func(arg_0):
    """ This function takes an app or library name and will return the corresponding repo
    for that app or library"""
    arg_1 = get_specs()
    arg_2 = arg_1.get_app_or_lib(arg_0)['repo']
    if not arg_2:
        return None
    return Repo(arg_2)


def Func(arg_0):
    """Given the spec of an app or library, returns all repos that are guaranteed
    to live in the same container"""
    arg_1 = set()
    arg_2 = get_repo_of_app_or_library(arg_0.name)
    if arg_2 is not None:
        arg_1.add(arg_2)
    for arg_3 in arg_0['depends']['libs']:
        arg_1.add(get_repo_of_app_or_library(arg_3))
    return arg_1


def Func(arg_0):
    """Given the name of an app or library, returns all repos that are guaranteed
    to live in the same container"""
    arg_1 = get_expanded_libs_specs()
    arg_2 = arg_1.get_app_or_lib(arg_0)
    return Func_from_spec(arg_2)


def Func(arg_0):
    """Return a string of all host rules required to match
    the given spec. This string is wrapped in the Dusty hosts
    header and footer so it can be easily removed later."""
    arg_1 =  ''.join(['{} {}\n'.format(spec['forwarded_ip'], spec['host_address']) for spec in arg_0])
    return config_file.create_config_section(arg_1)


def Func(arg_0):
    """Moves the temporary binary to the location of the binary that's currently being run.
    Preserves owner, group, and permissions of original binary"""
    # pylint: disable=E1101
    arg_1 = _get_binary_location()
    if not arg_1.endswith(constants.DUSTY_BINARY_NAME):
        raise RuntimeError('Refusing to overwrite binary {}'.format(arg_1))
    arg_2 = os.stat(arg_1)
    arg_3 = arg_2.st_mode
    arg_4 = arg_2.st_uid
    arg_5 = arg_2.st_gid
    shutil.move(arg_0, arg_1)
    os.chown(arg_1, arg_4, arg_5)
    os.chmod(arg_1, arg_3)
    return arg_1


def Func(arg_0=arg_1.cpu_count()):
    """Context manager for setting up a TaskQueue. Upon leaving the
    context manager, all tasks that were enqueued will be executed
    in parallel subject to `pool_size` concurrency constraints."""
    arg_3 = TaskQueue(arg_0)
    yield arg_3
    arg_3.execute()


def Func(arg_0, arg_1):
    """This will output the nginx stream config string for specific port spec """
    arg_2 = "\t server {\n"
    arg_2 += "\t \t {}\n".format(_nginx_listen_string(arg_0))
    arg_2 += "\t \t {}\n".format(_nginx_proxy_string(arg_0, arg_1))
    arg_2 += "\t }\n"
    return arg_2


def Func(arg_0):
    """Starting with Yosemite, launchd was rearchitected and now only one
    launchd process runs for all users. This allows us to much more easily
    impersonate a user through launchd and extract the environment
    variables from their running processes."""
    arg_1 = subprocess.check_output(['id', '-u', arg_0])
    arg_2 = subprocess.check_output(['launchctl', 'asuser', arg_1, 'launchctl', 'getenv', 'SSH_AUTH_SOCK']).rstrip()
    _set_ssh_auth_sock(arg_2)


def Func():
    """
    Will check the mac_username config value; if it is present, will load that user's
    SSH_AUTH_SOCK environment variable to the current environment.  This allows git clones
    to behave the same for the daemon as they do for the user
    """

    arg_0 = get_config_value(constants.CONFIG_MAC_USERNAME_KEY)
    if not arg_0:
        logging.info("Can't setup ssh authorization; no mac_username specified")
        return
    if not _running_on_mac(): # give our Linux unit tests a way to not freak out
        logging.info("Skipping SSH load, we are not running on Mac")
        return

    if _mac_version_is_post_yosemite():
        _load_ssh_auth_post_yosemite(arg_0)
    else:
        _load_ssh_auth_pre_yosemite()


def Func(arg_0):
    """Recursively delete a path upon exiting this context
    manager. Supports targets that are files or directories."""
    try:
        yield
    finally:
        if os.path.exists(arg_0):
            if os.path.isdir(arg_0):
                shutil.rmtree(arg_0)
            else:
                os.remove(arg_0)


def Func(arg_0, arg_1, arg_2, arg_3=True):
    """Copy a path from the local filesystem to a path inside a Dusty
    container. The files on the local filesystem must be accessible
    by the user specified in mac_username."""
    if not os.path.exists(arg_0):
        raise RuntimeError('ERROR: Path {} does not exist'.format(arg_0))
    arg_4 = str(uuid.uuid1())
    if os.path.isdir(arg_0):
        sync_local_path_to_vm(arg_0, os.path.join(vm_cp_path(arg_1), arg_4), arg_3=arg_3)
        move_dir_inside_container(arg_1, os.path.join(constants.CONTAINER_CP_DIR, arg_4), arg_2)
    else:
        sync_local_path_to_vm(arg_0, os.path.join(vm_cp_path(arg_1), arg_4), arg_3=arg_3)
        move_file_inside_container(arg_1, os.path.join(constants.CONTAINER_CP_DIR, arg_4), arg_2)


def Func(arg_0, arg_1):
    """ Given a dictionary containing the expanded dusty DAG specs this function will
    return a dictionary containing the port mappings needed by downstream methods.  Currently
    this includes docker_compose, virtualbox, nginx and hosts_file."""
    arg_2 = 65000
    arg_3 = {'docker_compose':{}, 'nginx':[], 'hosts_file':[]}
    arg_4, arg_5, arg_6 = set(), set(), set()
    # No matter the order of apps in expanded_active_specs, we want to produce a consistent
    # port_spec with respect to the apps and the ports they are outputted on
    for arg_7 in sorted(arg_0['apps'].keys()):
        arg_8 = arg_0['apps'][arg_7]
        if 'host_forwarding' not in arg_8:
            continue
        arg_3['docker_compose'][arg_7] = []
        for arg_9 in arg_8['host_forwarding']:
            # These functions are just used for validating the set of specs all works together
            _add_full_addresses(arg_9, arg_4)
            if arg_9['type'] == 'stream':
                _add_stream_host_port(arg_9, arg_6)

            arg_3['docker_compose'][arg_7].append(_docker_compose_port_spec(arg_9, arg_2))
            arg_3['nginx'].append(_nginx_port_spec(arg_9, arg_2, arg_1))

            _add_host_names(arg_9, arg_1, arg_3, arg_5)
            arg_2 += 1
    return arg_3


def Func(arg_0):
    """Returns the Docker registry host associated with
    a given image name."""
    if '/' not in arg_0: # official image
        return constants.PUBLIC_DOCKER_REGISTRY
    arg_1 = arg_0.split('/')[0]
    if '.' not in arg_1: # user image on official repository, e.g. thieman/clojure
        return constants.PUBLIC_DOCKER_REGISTRY
    return arg_1


def Func():
    """Reads the local Docker client config for the current user
    and returns all registries to which the user may be logged in.
    This is intended to be run client-side, not by the daemon."""
    arg_0 = set()
    if not os.path.exists(constants.DOCKER_CONFIG_PATH):
        return arg_0
    arg_1 = json.load(open(constants.DOCKER_CONFIG_PATH, 'r'))
    for arg_2 in arg_1.get('auths', {}).iterkeys():
        try:
            arg_3 = urlparse(arg_2)
        except Exception:
            log_to_client('Error parsing registry {} from Docker config, will skip this registry').format(arg_2)
        # This logic assumes the auth is either of the form
        # gamechanger.io (no scheme, no path after host) or
        # of the form https://index.docker.io/v1/ (scheme,
        # netloc parses correctly, additional path does not matter).
        # These are the formats I saw in my personal config file,
        # not sure what other formats it might accept.
        arg_0.add(arg_3.netloc) if arg_3.netloc else arg_0.add(arg_3.path)
    return arg_0


def Func():
    """Puts the client logger into streaming mode, which sends
    unbuffered input through to the socket one character at a time.
    We also disable propagation so the root logger does not
    receive many one-byte emissions. This context handler
    was originally created for streaming Compose up's
    terminal output through to the client and should only be
    used for similarly complex circumstances."""
    for arg_0 in arg_2.handlers:
        if hasattr(arg_0, 'append_newlines'):
            break
    else:
        arg_0 = None
    arg_1 = arg_2.propagate
    arg_2.propagate = False
    if arg_0 is not None:
        arg_4 = arg_0.append_newlines
        arg_0.append_newlines = False
    yield
    arg_2.propagate = arg_1
    if arg_0 is not None:
        arg_0.append_newlines = arg_4


def Func(arg_0, arg_1, arg_2):
    """ This is used to compile the command that will be run when the docker container starts
    up. This command has to install any libs that the app uses, run the `always` command, and
    run the `once` command if the container is being launched for the first time """
    arg_3 = arg_1['apps'][arg_0]
    arg_4 = ['set -e']
    arg_4 += _lib_install_commands_for_app(arg_0, arg_1)
    if arg_3['mount']:
        arg_4.append("cd {}".format(container_code_path(arg_3)))
        arg_4.append("export PATH=$PATH:{}".format(container_code_path(arg_3)))
    arg_4 += _copy_assets_commands_for_app(arg_3, arg_1)
    arg_4 += _get_once_commands(arg_3, arg_2)
    arg_4 += _get_always_commands(arg_3)
    return arg_4


def Func():
    """Raise the open file handles permitted by the Dusty daemon process
    and its child processes. The number we choose here needs to be within
    the OS X default kernel hard limit, which is 10240."""
    logging.info('Increasing file handle limit to {}'.format(constants.FILE_HANDLE_LIMIT))
    resource.setrlimit(resource.RLIMIT_NOFILE,
                       (constants.FILE_HANDLE_LIMIT, resource.RLIM_INFINITY))


def Func():
    """Start the daemon's HTTP server on a separate thread.
    This server is only used for servicing container status
    requests from Dusty's custom 502 page."""
    logging.info('Starting HTTP server at {}:{}'.format(constants.DAEMON_HTTP_BIND_IP,
                                                        constants.DAEMON_HTTP_BIND_PORT))
    arg_0 = threading.Thread(target=http_server.app.run, args=(constants.DAEMON_HTTP_BIND_IP,
                                                                constants.DAEMON_HTTP_BIND_PORT))
    arg_0.daemon = True
    arg_0.start()


def Func():
    """Ripped off and slightly modified based on docker-py's
    kwargs_from_env utility function."""
    arg_0 = get_docker_env()
    arg_1, arg_2, arg_3 = arg_0['DOCKER_HOST'], arg_0['DOCKER_CERT_PATH'], arg_0['DOCKER_TLS_VERIFY']

    arg_4 = {'base_url': arg_1.replace('tcp://', 'https://'),
              'timeout': None,
              'version': 'auto'}
    if arg_3 and arg_2:
        arg_4['tls'] = docker.tls.TLSConfig(
            client_cert=(os.path.join(arg_2, 'cert.pem'),
                         os.path.join(arg_2, 'key.pem')),
            ca_cert=os.path.join(arg_2, 'ca.pem'),
            verify=True,
            ssl_version=None,
            assert_hostname=False)
    return docker.Client(**arg_4)


def Func(arg_0, arg_1=False):
    """Get a list of containers associated with the list
    of services. If no services are provided, attempts to
    return all containers associated with Dusty."""
    arg_2 = get_docker_client()
    if arg_0:
        arg_3 = [get_container_for_app_or_service(service, arg_1=arg_1) for service in arg_0]
        return [arg_4 for arg_4 in arg_3 if arg_4]
    else:
        return [arg_4
                for arg_4 in arg_2.containers(all=arg_1)
                if any(arg_5.startswith('/dusty') for arg_5 in arg_4.get('Names', []))]


def Func():
    """
    This function is used with `dusty up`.  It will check all active repos to see if
    they are exported.  If any are missing, it will replace current dusty exports with
    exports that are needed for currently active repos, and restart
    the nfs server
    """
    arg_0 = get_all_repos(active_only=True, include_specs_repo=False)

    arg_1 = _get_current_exports()
    arg_2 = _get_exports_for_repos(arg_0)

    _ensure_managed_repos_dir_exists()

    if not arg_2.difference(arg_1):
        if not _server_is_running():
            _restart_server()
        return

    _write_exports_config(arg_2)
    _restart_server()


def Func():
    """
    Our exports file will be invalid if this folder doesn't exist, and the NFS server
    will not run correctly.
    """
    if not os.path.exists(constants.REPOS_DIR):
        os.makedirs(constants.REPOS_DIR)


def Func(arg_0):
    """Given an existing Funcr ID, return any new lines from the
    log since the last time the Funcr was Funcd."""
    global arg_6
    arg_1 = arg_6[arg_0]

    arg_2 = get_docker_client()
    try:
        arg_3 = arg_2.inspect_container(arg_1.container_id)['State']['Status']
    except Exception as e:
        arg_3 = 'unknown'
    arg_4 = arg_2.logs(arg_1.container_id,
                           stdout=True,
                           stderr=True,
                           stream=False,
                           timestamps=False,
                           since=calendar.timegm(arg_1.offset.timetuple()))

    arg_5 = Consumer(arg_1.container_id, datetime.utcnow())
    arg_6[arg_7(arg_0)] = arg_5

    arg_8 = jsonify({'logs': arg_4, 'status': arg_3})
    arg_8.headers['Access-Control-Allow-Origin'] = '*'
    arg_8.headers['Access-Control-Allow-Methods'] = 'GET, POST'
    return arg_8


def Func(arg_0, arg_1, arg_2=False):
    """ This returns a list of formatted volume specs for an app. These mounts declared in the apps' spec
    and mounts declared in all lib specs the app depends on"""
    arg_3 = arg_1['apps'][arg_0]
    arg_4 = [get_command_files_volume_mount(arg_0, arg_2=arg_2)]
    arg_4.append(get_asset_volume_mount(arg_0))
    arg_5 = _get_app_repo_volume_mount(arg_3)
    if arg_5:
        arg_4.append(arg_5)
    arg_4 += _get_app_libs_volume_mounts(arg_0, arg_1)
    return arg_4


def Func(arg_0, arg_1):
    """ Returns a list of the formatted volume specs for a lib"""
    arg_2 = [_get_lib_repo_volume_mount(arg_1['libs'][arg_0])]
    arg_2.append(get_command_files_volume_mount(arg_0, test=True))
    for arg_3 in arg_1['libs'][arg_0]['depends']['libs']:
        arg_4 = arg_1['libs'][arg_3]
        arg_2.append(_get_lib_repo_volume_mount(arg_4))
    return arg_2


def Func(arg_0, arg_1):
    """ Returns a list of the formatted volume mounts for all libs that an app uses """
    arg_2 = []
    for arg_3 in arg_1['apps'][arg_0]['depends']['libs']:
        arg_4 = arg_1['libs'][arg_3]
        arg_2.append("{}:{}".format(Repo(arg_4['repo']).vm_path, container_code_path(arg_4)))
    return arg_2


def Func():
    """Initialize the Dusty VM if it does not already exist."""
    if not _dusty_vm_exists():
        log_to_client('Initializing new Dusty VM with Docker Machine')
        arg_0 = ['--driver', 'virtualbox',
                           '--virtualbox-cpu-count', '-1',
                           '--virtualbox-boot2docker-url', constants.CONFIG_BOOT2DOCKER_URL,
                           '--virtualbox-memory', str(get_config_value(constants.CONFIG_VM_MEM_SIZE)),
                           '--virtualbox-hostonly-nictype', constants.VM_NIC_TYPE]
        check_call_demoted(['docker-machine', 'create'] + arg_0 + [constants.VM_MACHINE_NAME],
                           redirect_stderr=True)


def Func():
    """Start the Dusty VM if it is not already running."""
    arg_0 = docker_vm_is_running()
    if not arg_0:
        log_to_client('Starting docker-machine VM {}'.format(constants.VM_MACHINE_NAME))
        _apply_nat_dns_host_resolver()
        _apply_nat_net_less_greedy_subnet()
        check_and_log_output_and_error_demoted(['docker-machine', 'start', constants.VM_MACHINE_NAME], quiet_on_success=True)
    return arg_0


def Func():
    """Using VBoxManage is 0.5 seconds or so faster than Machine."""
    arg_0 = check_output_demoted(['VBoxManage', 'list', 'runningvms'])
    for arg_1 in arg_0.splitlines():
        if '"{}"'.format(constants.VM_MACHINE_NAME) in arg_1:
            return True
    return False


def Func():
    """Something in the VM chain, either VirtualBox or Machine, helpfully
    sets up localhost-to-VM forwarding on port 22. We can inspect this
    rule to determine the port on localhost which gets forwarded to
    22 in the VM."""
    for arg_0 in _get_vm_config():
        if arg_0.startswith('Forwarding'):
            arg_1 = arg_0.split('=')[1].strip('"')
            arg_2, arg_3, arg_4, arg_5, arg_6, arg_7 = arg_1.split(',')
            if arg_2 == 'ssh' and arg_3 == 'tcp' and arg_7 == '22':
                return arg_5
    raise ValueError('Could not determine localhost port for SSH forwarding')


def Func():
    """Returns the MAC address assigned to the host-only adapter,
    using output from VBoxManage. Returned MAC address has no colons
    and is lower-cased."""
    # Get the number of the host-only adapter
    arg_0 = _get_vm_config()
    for arg_1 in arg_0:
        if arg_1.startswith('hostonlyadapter'):
            adapter_number = int(arg_1[15:16])
            break
    else:
        raise ValueError('No host-only adapter is defined for the Dusty VM')

    for arg_1 in arg_0:
        if arg_1.startswith('macaddress{}'.format(adapter_number)):
            return arg_1.split('=')[1].strip('"').lower()
    raise ValueError('Could not find MAC address for adapter number {}'.format(adapter_number))


def Func(arg_0, arg_1):
    """Given the rather-complex output from an 'ip addr show' command
    on the VM, parse the output to determine the IP address
    assigned to the interface with the given MAC."""
    arg_2 = False
    for arg_3 in arg_0.splitlines():
        arg_3 = arg_3.strip()
        if arg_3.startswith('link/ether'):
            arg_4 = arg_3.split(' ')[1].replace(':', '')
            if arg_4 == arg_1:
                arg_2 = True
        elif arg_2 and arg_3.startswith('inet') and not arg_3.startswith('inet6'):
            arg_5 = arg_3.split(' ')[1].split('/')[0]
            return arg_5


def Func():
    """Determine the host-only IP of the Dusty VM through Virtualbox and SSH
    directly, bypassing Docker Machine. We do this because Docker Machine is
    much slower, taking about 600ms total. We are basically doing the same
    flow Docker Machine does in its own code."""
    arg_0 = _get_host_only_mac_address()
    arg_1 = check_output_demoted(['ssh', '-o', 'StrictHostKeyChecking=no',
                                         '-o', 'UserKnownHostsFile=/dev/null',
                                         '-i', _vm_key_path(), '-p', _get_localhost_ssh_port(),
                                         'docker@127.0.0.1', 'ip addr show'])
    return _ip_for_mac_from_ip_addr_show(arg_1, arg_0)


def Func(arg_0, arg_1):
    """Converts a python dict to a namedtuple, saving memory."""
    arg_2 = arg_0.keys()
    arg_3 = arg_0.values()
    return json.loads(json.dumps(arg_0),
                      object_hook=lambda d:
                      namedtuple(arg_1, arg_2)(*arg_3))


def Func(arg_0, arg_1,
                         arg_2=None, arg_3=None,
                         arg_4='json', arg_5='daily'):
        """By default, return latest EOD Composite Price for a stock ticker.
           On average, each feed contains 3 data sources.

            Supported tickers + Available Day Ranges are here:
            https://apimedia.tiingo.com/docs/tiingo/daily/supported_tickers.zip

            Args:
                ticker (string): Unique identifier for stock ticker
                startDate (string): Start of ticker range in YYYY-MM-DD format
                endDate (string): End of ticker range in YYYY-MM-DD format
                fmt (string): 'csv' or 'json'
                frequency (string): Resample frequency
        """
        arg_6 = arg_0._get_url(arg_1, arg_5)
        arg_7 = {
            'format': arg_4 if arg_4 != "object" else 'json',  # conversion local
            'resampleFreq': arg_5
        }

        if arg_2:
            arg_7['startDate'] = arg_2
        if arg_3:
            arg_7['endDate'] = arg_3

        # TODO: evaluate whether to stream CSV to cache on disk, or
        # load as array in memory, or just pass plain text
        arg_8 = arg_0._request('GET', arg_6, arg_7=arg_7)
        if arg_4 == "json":
            return arg_8.json()
        elif arg_4 == "object":
            arg_9 = arg_8.json()
            return [dict_to_object(arg_10, "TickerPrice") for arg_10 in arg_9]
        else:
            return arg_8.content.decode("utf-8")


def Func(arg_0, arg_1,
                      arg_2=None, arg_3=None, arg_4=None, arg_5='daily'):

        """ Return a pandas.DataFrame of historical prices for one or more ticker symbols.

            By default, return latest EOD Composite Price for a list of stock tickers.
            On average, each feed contains 3 data sources.

            Supported tickers + Available Day Ranges are here:
            https://apimedia.tiingo.com/docs/tiingo/daily/supported_tickers.zip
            or from the TiingoClient.list_tickers() method.

            Args:
                tickers (string/list): One or more unique identifiers for a stock ticker.
                startDate (string): Start of ticker range in YYYY-MM-DD format.
                endDate (string): End of ticker range in YYYY-MM-DD format.
                metric_name (string): Optional parameter specifying metric to be returned for each
                    ticker.  In the event of a single ticker, this is optional and if not specified
                    all of the available data will be returned.  In the event of a list of tickers,
                    this parameter is required.
                frequency (string): Resample frequency (defaults to daily).
        """

        arg_6 = ['open', 'high', 'low', 'close', 'volume', 'adjOpen', 'adjHigh', 'adjLow',
                         'adjClose', 'adjVolume', 'divCash', 'splitFactor']

        if arg_4 is not None and arg_4 not in arg_6:
            raise APIColumnNameError('Valid data items are: ' + str(arg_6))

        arg_7 = {
            'format': 'json',
            'resampleFreq': arg_5
        }
        if arg_2:
            arg_7['startDate'] = arg_2
        if arg_3:
            arg_7['endDate'] = arg_3

        if pandas_is_installed:
            if type(arg_1) is str:
                arg_8 = arg_1
                arg_9 = arg_0._get_url(arg_8, arg_5)
                arg_10 = arg_0._request('GET', arg_9, arg_7=arg_7)
                arg_11 = pd.DataFrame(arg_10.json())
                if arg_4 is not None:
                    arg_12 = arg_11[arg_4]
                    arg_12.index = arg_11['date']
                else:
                    arg_12 = arg_11
                    arg_12.index = arg_11['date']
                    del (arg_12['date'])
            else:
                arg_12 = pd.DataFrame()
                for arg_8 in arg_1:
                    arg_9 = arg_0._get_url(arg_8, arg_5)
                    arg_10 = arg_0._request('GET', arg_9, arg_7=arg_7)
                    arg_11 = pd.DataFrame(arg_10.json())
                    arg_11.index = arg_11['date']
                    arg_11.rename(arg_13=str, columns={arg_4: arg_8}, inplace=True)
                    arg_12 = pd.concat([arg_12, arg_11[arg_8]], axis=1)
            arg_12.index = pd.to_datetime(arg_12.index)
            return arg_12
        else:
            arg_14 = ("Pandas is not installed, but .get_ticker_price() was "
                             "called with fmt=pandas.  In order to install tiingo with "
                             "pandas, reinstall with pandas as an optional dependency. \n"
                             "Install tiingo with pandas dependency: \'pip install tiingo[pandas]\'\n"
                             "Alternatively, just install pandas: pip install pandas.")
            raise InstallPandasException(arg_14)


def Func(arg_0):
    """Make a local copy of the sqlite cookie database and return the new filename.
    This is necessary in case this database is still being written to while the user browses
    to avoid sqlite locking errors.
    """
    # if type of cookie_file is a list, use the first element in the list
    if isinstance(arg_0, list):
        arg_0 = arg_0[0]

    # check if cookie file exists
    if os.path.exists(arg_0):
        # copy to random name in tmp folder
        arg_1 = tempfile.NamedTemporaryFile(suffix='.sqlite').name
        open(arg_1, 'wb').write(open(arg_0, 'rb').read())
        return arg_1
    else:
        raise BrowserCookieError('Can not find cookie file at: ' + arg_0)


def Func(arg_0=""):
    """Try to Func cookies from all supported browsers and return combined cookiejar
    Optionally pass in a domain name to only Func cookies from the specified domain
    """
    arg_1 = http.cookiejar.CookieJar()
    for arg_2 in [chrome, firefox]:
        try:
            for arg_3 in arg_2(arg_0=arg_0):
                arg_1.set_cookie(arg_3)
        except BrowserCookieError:
            pass
    return arg_1


def Func(arg_0, arg_1, arg_2):
        """Decrypt encoded cookies
        """

        if sys.platform == 'win32':
            return arg_0.Func_windows_chrome(arg_1, arg_2)

        if arg_1 or (arg_2[:3] != b'v10'):
            return arg_1

        # Encrypted cookies should be prefixed with 'v10' according to the
        # Chromium code. Strip it off.
        arg_2 = arg_2[3:]
        arg_3 = int(len(arg_2) / 2)

        arg_4 = pyaes.Decrypter(pyaes.AESModeOfOperationCBC(arg_0.key, arg_0.iv))
        arg_5 = arg_4.feed(arg_2[:arg_3])
        arg_5 += arg_4.feed(arg_2[arg_3:])
        arg_5 += arg_4.feed()
        return arg_5.decode("utf-8")


async def Func(arg_0):
        """Get the application bearer token from client_id and client_secret."""
        if arg_0.client_id is None:
            raise SpotifyException(_GET_BEARER_ERR % 'client_id')

        elif arg_0.client_secret is None:
            raise SpotifyException(_GET_BEARER_ERR % 'client_secret')

        arg_1 = b64encode(':'.join((arg_0.client_id, arg_0.client_secret)).encode())

        arg_2 = {
            'url': 'https://accounts.spotify.com/api/token',
            'data': {'grant_type': 'client_credentials'},
            'headers': {'Authorization': 'Basic ' + arg_1.decode()}
        }

        async with arg_0._session.post(**arg_2) as resp:
            return json.loads(await resp.text(encoding='utf-8'))


async def Func(arg_0, arg_1, **arg_2):
        """Make a Func to the spotify API with the current bearer credentials.

        Parameters
        ----------
        route : Union[tuple[str, str], Route]
            A tuple of the method and url or a :class:`Route` object.
        kwargs : Any
            keyword arguments to pass into :class:`aiohttp.ClientSession.Func`
        """
        if isinstance(arg_1, tuple):
            arg_3, arg_4 = arg_1
        else:
            arg_3 = arg_1.method
            arg_4 = arg_1.url

        if arg_0.bearer_info is None:
            arg_0.bearer_info = arg_5 = await arg_0.get_bearer_info()
            arg_6 = arg_5['access_token']
        else:
            arg_6 = arg_0.bearer_info['access_token']

        arg_7 = {
            'Authorization': 'Bearer ' + arg_6,
            'Content-Type': arg_2.get('content_type', 'application/json'),
            **arg_2.pop('headers', {})
        }

        for arg_8 in range(arg_0.RETRY_AMOUNT):
            r = await arg_0._session.Func(arg_3, arg_4, arg_7=arg_7, **arg_2)
            try:
                status = r.status

                try:
                    data = json.loads(await r.text(encoding='utf-8'))
                except json.decoder.JSONDecodeError:
                    data = {}

                if 300 > status >= 200:
                    return data

                if status == 401:
                    arg_0.bearer_info = arg_5 = await arg_0.get_bearer_info()
                    arg_7['Authorization'] = 'Bearer ' + arg_5['access_token']
                    continue

                if status == 429:
                    # we're being rate limited.
                    amount = r.headers.get('Retry-After')
                    await asyncio.sleep(int(amount), loop=arg_0.loop)
                    continue

                if status in (502, 503):
                    # unconditional retry
                    continue

                if status == 403:
                    raise Forbidden(r, data)
                elif status == 404:
                    raise NotFound(r, data)
            finally:
                await r.release()
        else:
            raise HTTPException(r, data)


def Func(arg_0, arg_1, arg_2=20, arg_3=0, arg_4='US'):
        """Get an albums tracks by an ID.

        Parameters
        ----------
        spotify_id : str
            The spotify_id to search by.
        limit : Optional[int]
            The maximum number of items to return. Default: 20. Minimum: 1. Maximum: 50.
        offset : Optiona[int]
            The offset of which Spotify should start yielding from.
        market : Optional[str]
            An ISO 3166-1 alpha-2 country code.
        """
        arg_5 = Route('GET', '/albums/{spotify_id}/tracks', arg_1=arg_1)
        arg_6 = {'limit': arg_2, 'offset': arg_3}

        if arg_4:
            arg_6['market'] = arg_4

        return arg_0.request(arg_5, params=arg_6)


def Func(arg_0, arg_1):
        """Get a spotify Func by their ID.

        Parameters
        ----------
        spotify_id : str
            The spotify_id to search by.
        """
        arg_2 = Route('GET', '/Funcs/{spotify_id}', arg_1=arg_1)
        return arg_0.request(arg_2)


def Func(arg_0, arg_1, arg_2=None, arg_3=20, arg_4=0, arg_5='US'):
        """Get an artists tracks by their ID.

        Parameters
        ----------
        spotify_id : str
            The spotify_id to search by.
        include_groups : INCLUDE_GROUPS_TP
            INCLUDE_GROUPS
        limit : Optional[int]
            The maximum number of items to return. Default: 20. Minimum: 1. Maximum: 50.
        offset : Optiona[int]
            The offset of which Spotify should start yielding from.
        market : Optional[str]
            An ISO 3166-1 alpha-2 country code.
        """
        arg_6 = Route('GET', '/artists/{spotify_id}/albums', arg_1=arg_1)
        arg_7 = {'limit': arg_3, 'offset': arg_4}

        if arg_2:
            arg_7['include_groups'] = arg_2

        if arg_5:
            arg_7['market'] = arg_5

        return arg_0.request(arg_6, params=arg_7)


def Func(arg_0, arg_1, arg_2):
        """Get an artists top tracks per country with their ID.

        Parameters
        ----------
        spotify_id : str
            The spotify_id to search by.
        country : COUNTRY_TP
            COUNTRY
        """
        arg_3 = Route('GET', '/artists/{spotify_id}/top-tracks', arg_1=arg_1)
        arg_4 = {'country': arg_2}
        return arg_0.request(arg_3, params=arg_4)


def Func(arg_0, arg_1):
        """Get related artists for an artist by their ID.

        Parameters
        ----------
        spotify_id : str
            The spotify_id to search by.
        """
        arg_2 = Route('GET', '/artists/{spotify_id}/related-artists', arg_1=arg_1)
        return arg_0.request(arg_2)


def Func(arg_0, arg_1, arg_2=None, arg_3=None):
        """Get a single Func used to tag items in Spotify.

        Parameters
        ----------
        Func_id : str
            The Spotify Func ID for the Func.
        country : COUNTRY_TP
            COUNTRY
        locale : LOCALE_TP
            LOCALE
        """
        arg_4 = Route('GET', '/browse/categories/{Func_id}', arg_1=arg_1)
        arg_5 = {}

        if arg_2:
            arg_5['country'] = arg_2

        if arg_3:
            arg_5['locale'] = arg_3

        return arg_0.request(arg_4, params=arg_5)


def Func(arg_0, arg_1, arg_2=20, arg_3=0, arg_4=None):
        """Get a list of Spotify playlists tagged with a particular category.

        Parameters
        ----------
        category_id : str
            The Spotify category ID for the category.
        limit : Optional[int]
            The maximum number of items to return. Default: 20. Minimum: 1. Maximum: 50.
        offset : Optional[int]
            The index of the first item to return. Default: 0
        country : COUNTRY_TP
            COUNTRY
        """
        arg_5 = Route('GET', '/browse/categories/{category_id}/playlists', arg_1=arg_1)
        arg_6 = {'limit': arg_2, 'offset': arg_3}

        if arg_4:
            arg_6['country'] = arg_4

        return arg_0.request(arg_5, params=arg_6)


def Func(arg_0, arg_1=20, arg_2=0, arg_3=None, arg_4=None):
        """Get a list of Func used to tag items in Spotify.

        Parameters
        ----------
        limit : Optional[int]
            The maximum number of items to return. Default: 20. Minimum: 1. Maximum: 50.
        offset : Optional[int]
            The index of the first item to return. Default: 0
        country : COUNTRY_TP
            COUNTRY
        locale : LOCALE_TP
            LOCALE
        """
        arg_5 = Route('GET', '/browse/Func')
        arg_6 = {'limit': arg_1, 'offset': arg_2}

        if arg_3:
            arg_6['country'] = arg_3

        if arg_4:
            arg_6['locale'] = arg_4

        return arg_0.request(arg_5, params=arg_6)


def Func(arg_0, arg_1=None, arg_2=None, arg_3=None, arg_4=20, arg_5=0):
        """Get a list of Spotify featured playlists.

        Parameters
        ----------
        locale : LOCALE_TP
            LOCALE
        country : COUNTRY_TP
            COUNTRY
        timestamp : TIMESTAMP_TP
            TIMESTAMP
        limit : Optional[int]
            The maximum number of items to return. Default: 20. Minimum: 1. Maximum: 50.
        offset : Optional[int]
            The index of the first item to return. Default: 0
        """
        arg_6 = Route('GET', '/browse/featured-playlists')
        arg_7 = {'limit': arg_4, 'offset': arg_5}

        if arg_2:
            arg_7['country'] = arg_2

        if arg_1:
            arg_7['locale'] = arg_1

        if arg_3:
            arg_7['timestamp'] = arg_3

        return arg_0.request(arg_6, params=arg_7)


def Func(arg_0, *, arg_1=None, arg_2=20, arg_3=0):
        """Get a list of new album releases featured in Spotify.

        Parameters
        ----------
        limit : Optional[int]
            The maximum number of items to return. Default: 20. Minimum: 1. Maximum: 50.
        offset : Optional[int]
            The index of the first item to return. Default: 0
        country : COUNTRY_TP
            COUNTRY
        """
        arg_4 = Route('GET', '/browse/new-releases')
        arg_5 = {'limit': arg_2, 'offset': arg_3}

        if arg_1:
            arg_5['country'] = arg_1

        return arg_0.request(arg_4, params=arg_5)


def Func(arg_0, arg_1, arg_2, arg_3, *, arg_4=20, arg_5=None, **arg_6):
        """Get Recommendations Based on Seeds.

        Parameters
        ----------
        seed_artists : str
            A comma separated list of Spotify IDs for seed artists. Up to 5 seed values may be provided.
        seed_genres : str
            A comma separated list of any genres in the set of available genre seeds. Up to 5 seed values may be provided.
        seed_tracks : str
            A comma separated list of Spotify IDs for a seed track. Up to 5 seed values may be provided.
        limit : Optional[int]
            The maximum number of items to return. Default: 20. Minimum: 1. Maximum: 50.
        market : Optional[str]
            An ISO 3166-1 alpha-2 country code.
        max_* : Optional[Keyword arguments]
            For each tunable track attribute, a hard ceiling on the selected track attribute’s value can be provided.
        min_* : Optional[Keyword arguments]
            For each tunable track attribute, a hard floor on the selected track attribute’s value can be provided.
        target_* : Optional[Keyword arguments]
            For each of the tunable track attributes (below) a target value may be provided.
        """
        arg_7 = Route('GET', '/Func')
        arg_8 = {'seed_artists': arg_1, 'seed_genres': arg_2, 'seed_tracks': arg_3, 'limit': arg_4}

        if arg_5:
            arg_8['market'] = arg_5

        if arg_6:
            arg_8.update(arg_6)

        return arg_0.request(arg_7, param=arg_8)


def Func(arg_0, arg_1, *, arg_2='artist'):
        """Check to see if the current user is following one or more artists or other Spotify users.

        Parameters
        ----------
        ids : List[str]
            A comma-separated list of the artist or the user Spotify IDs to check.
            A maximum of 50 IDs can be sent in one request.
        type : Optional[str]
            The ID type: either "artist" or "user".
            Default: "artist"
        """
        arg_3 = Route('GET', '/me/following/contains')
        arg_4 = {'ids': arg_1, 'type': arg_2}

        return arg_0.request(arg_3, params=arg_4)


async def Func(arg_0, *, arg_1: arg_2[arg_3] = 20, arg_4: arg_2[arg_3] = 0, arg_5=None, arg_6: arg_2[arg_7] = None) -> List[Album]:
        """Get the albums of a Spotify artist.

        Parameters
        ----------
        limit : Optional[int]
            The maximum number of items to return. Default: 20. Minimum: 1. Maximum: 50.
        offset : Optiona[int]
            The offset of which Spotify should start yielding from.
        include_groups : INCLUDE_GROUPS_TP
            INCLUDE_GROUPS
        market : Optional[str]
            An ISO 3166-1 alpha-2 country code.

        Returns
        -------
        albums : List[Album]
            The albums of the artist.
        """
        from .album import Album

        arg_8 = await arg_0.__client.http.artist_albums(arg_0.id, arg_1=arg_1, arg_4=arg_4, arg_5=arg_5, arg_6=arg_6)
        return list(Album(arg_0.__client, arg_9) for arg_9 in arg_8['items'])


async def Func(arg_0, *, arg_1: arg_2 = None) -> int:
        """get the total amout of tracks in the album.

        Parameters
        ----------
        market : Optional[str]
            An ISO 3166-1 alpha-2 country code.

        Returns
        -------
        total : int
            The total amount of albums.
        """
        arg_3 = await arg_0.__client.http.artist_albums(arg_0.id, limit=1, offset=0, arg_1=arg_1)
        return arg_3['total']


async def Func(arg_0) -> Tuple[Context, Track]:
        """Get the users currently playing track.

        Returns
        -------
        context, track : Tuple[Context, Track]
            A tuple of the context and track.
        """
        arg_1 = await arg_0.http.Func()

        if arg_1.get('item'):
            arg_1['Context'] = Context(arg_1.get('context'))
            arg_1['item'] = Track(arg_0.__client, arg_1.get('item'))

        return arg_1


async def Func(arg_0) -> List[Device]:
        """Get information about the users avaliable devices.

        Returns
        -------
        devices : List[Device]
            The devices the user has available.
        """
        arg_1 = await arg_0.http.available_devices()
        return [Device(arg_2) for arg_2 in arg_1['devices']]


async def Func(arg_0) -> List[Dict[str, Union[Track, Context, str]]]:
        """Get tracks from the current users recently played tracks.

        Returns
        -------
        playlist_history : List[Dict[str, Union[Track, Context, str]]]
            A list of playlist history object.
            Each object is a dict with a timestamp, track and context field.
        """
        arg_1 = await arg_0.http.Func()
        arg_2 = lambda arg_1: {'context': Context(arg_1.get('context')), 'track': Track(arg_0.__client, arg_1.get('track'))}
        # List[T] where T: {'track': Track, 'content': Context: 'timestamp': ISO8601}
        return [{'timestamp': arg_3['timestamp'], **arg_2(arg_3)} for arg_3 in arg_1['items']]


async def Func(arg_0, arg_1, *, arg_2=True, arg_3=False, arg_4=None):
        """Create a playlist for a Spotify user.

        Parameters
        ----------
        name : str
            The name of the playlist.
        public : Optional[bool]
            The public/private status of the playlist.
            `True` for public, `False` for private.
        collaborative : Optional[bool]
            If `True`, the playlist will become collaborative and other users will be able to modify the playlist.
        description : Optional[str]
            The playlist description

        Returns
        -------
        playlist : Playlist
            The playlist that was created.
        """
        arg_5 = {
            'name': arg_1,
            'public': arg_2,
            'collaborative': arg_3
        }

        if arg_4:
            arg_5['description'] = arg_4

        arg_6 = await arg_0.http.Func(arg_0.id, arg_5)
        return Playlist(arg_0.__client, arg_6)


async def Func(arg_0, *, arg_1: arg_2[arg_3] = 20, arg_4: arg_2[arg_3] = 0) -> List[Track]:
        """get the albums tracks from spotify.

        Parameters
        ----------
        limit : Optional[int]
            The limit on how many tracks to retrieve for this album (default is 20).
        offset : Optional[int]
            The offset from where the api should start from in the tracks.

        Returns
        -------
        tracks : List[Track]
            The tracks of the artist.
        """
        arg_5 = await arg_0.__client.http.album_tracks(arg_0.id, arg_1=arg_1, arg_4=arg_4)
        return list(Track(arg_0.__client, arg_6) for arg_6 in arg_5['items'])


async def Func(arg_0, *, arg_1: arg_2[arg_3] = 'US') -> List[Track]:
        """loads all of the albums tracks, depending on how many the album has this may be a long operation.

        Parameters
        ----------
        market : Optional[str]
            An ISO 3166-1 alpha-2 country code. Provide this parameter if you want to apply Track Relinking.

        Returns
        -------
        tracks : List[Track]
            The tracks of the artist.
        """
        arg_4 = []
        arg_5 = 0
        arg_6 = arg_0.total_tracks or None

        while True:
            arg_7 = await arg_0.__client.http.album_tracks(arg_0.id, limit=50, arg_5=arg_5, arg_1=arg_1)

            if arg_6 is None:
                arg_6 = arg_7['total']

            arg_5 += 50
            arg_4 += list(Track(arg_0.__client, arg_8) for arg_8 in arg_7['items'])

            if len(arg_4) >= arg_6:
                break

        return arg_4


async def Func(arg_0, arg_1: arg_2, *, arg_3: arg_2 = 'US') -> Album:
        """Retrive an album with a spotify ID.

        Parameters
        ----------
        spotify_id : str
            The ID to search for.
        market : Optional[str]
            An ISO 3166-1 alpha-2 country code

        Returns
        -------
        album : Album
            The album from the ID
        """
        arg_4 = await arg_0.http.album(to_id(arg_1), arg_3=arg_3)
        return Album(arg_0, arg_4)


async def Func(arg_0, arg_1: arg_2) -> Track:
        """Retrive an track with a spotify ID.

        Parameters
        ----------
        spotify_id : str
            The ID to search for.

        Returns
        -------
        track : Track
            The track from the ID
        """
        arg_3 = await arg_0.http.track(to_id(arg_1))
        return Track(arg_0, arg_3)


async def Func(arg_0, *arg_1: arg_2[arg_3], arg_4: arg_3 = 'US') -> arg_2[Album]:
        """Retrive multiple albums with a list of spotify IDs.

        Parameters
        ----------
        ids : List[str]
            the ID to look for
        market : Optional[str]
            An ISO 3166-1 alpha-2 country code

        Returns
        -------
        albums : List[Album]
            The albums from the IDs
        """
        arg_5 = await arg_0.http.albums(','.join(to_id(_id) for _id in arg_1), arg_4=arg_4)
        return list(Album(arg_0, arg_6) for arg_6 in arg_5['albums'])


async def Func(arg_0, *arg_1: arg_2[arg_3]) -> arg_2[Artist]:
        """Retrive multiple artists with a list of spotify IDs.

        Parameters
        ----------
        ids : List[str]
            the IDs to look for

        Returns
        -------
        artists : List[Artist]
            The artists from the IDs
        """
        arg_4 = await arg_0.http.artists(','.join(to_id(_id) for _id in arg_1))
        return list(Artist(arg_0, arg_5) for arg_5 in arg_4['artists'])


def Func(arg_0: arg_1, arg_2: arg_1, arg_3: arg_4 = arg_5) -> arg_7:
    """decorator to assert an object has an attribute when run."""
    def decorator(arg_6: arg_7) -> arg_7:
        @functools.wraps(arg_6)
        def decorated(arg_8, *arg_9, **arg_10):
            if not hasattr(arg_8, arg_0):
                raise arg_3(arg_2)
            return arg_6(arg_8, *arg_9, **arg_10)

        if inspect.iscoroutinefunction(arg_6):
            @functools.wraps(arg_6)
            async def decorated(*arg_9, **arg_10):
                return await decorated(*arg_9, **arg_10)

        return decorated
    return decorator


def Func(arg_0, arg_1, *arg_2, **arg_3):
        """Construct a OAuth2 object from a `spotify.Client`."""
        return arg_0(arg_1.http.client_id, *arg_2, **arg_3)


def Func(arg_0: arg_1, arg_2: arg_1, *, arg_3: arg_1 = None, arg_4: arg_1 = None, arg_5: arg_6 = True) -> arg_1:
        """Construct a OAuth2 URL instead of an OAuth2 object."""
        arg_7 = {
            'client_id': arg_0,
            'redirect_uri': quote(arg_2)
        }

        if arg_3 is not None:
            arg_7['scope'] = quote(arg_3)

        if arg_4 is not None:
            arg_7['state'] = arg_4

        arg_8 = '&'.join('{0}={1}'.format(*item) for item in arg_7.items())

        return OAuth2._BASE.format(arg_8=arg_8)


def Func(arg_0):
        """Attributes used when constructing url parameters."""
        arg_1 = {
            'client_id': arg_0.client_id,
            'redirect_uri': quote(arg_0.redirect_uri),
        }

        if arg_0.scope is not None:
            arg_1['scope'] = quote(arg_0.scope)

        if arg_0.state is not None:
            arg_1['state'] = arg_0.state

        return arg_1


def Func(arg_0) -> str:
        """URL Func used."""
        return '&'.join('{0}={1}'.format(*arg_1) for arg_1 in arg_0.attrs.items())


def Func(arg_0):  # pragma: no cover
        """
        Execute the logic behind the meaning of ExpirationDate + return the matched status.

        :return:
            The status of the tested domain.
            Can be one of the official status.
        :rtype: str
        """

        # We Func the status of the domain validation.
        arg_1 = arg_0.checker.is_domain_valid()
        # We Func the status of the IPv4 validation.
        arg_2 = arg_0.checker.is_ip_valid()

        if "current_test_data" in arg_3.INTERN:
            # The end-user want more information whith his test.

            # We update some index.
            arg_3.INTERN["current_test_data"].update(
                {
                    "domain_syntax_validation": arg_1,
                    "ip4_syntax_validation": arg_2,
                }
            )

        if (
            arg_1
            and not arg_2
            or arg_1
            or arg_3.CONFIGURATION["local"]
        ):
            # * The element is a valid domain.
            # and
            # * The element is not ahe valid IPv4.
            # or
            # * The element is a valid domain.

            # * We Func the HTTP status code of the currently tested element.
            # and
            # * We try to Func the element status from the IANA database.
            arg_3.INTERN.update(
                {"http_code": HTTPCode().Func(), "referer": Referer().Func()}
            )

            if not arg_3.INTERN["referer"]:
                # We could not Func the referer.

                # We parse the referer status into the upstream call.
                return arg_3.INTERN["referer"]

            # The WHOIS record status is not into our list of official status.

            if arg_3.INTERN["referer"] and not arg_0.checker.is_subdomain():
                # * The iana database comparison status is not None.
                # and
                # * The domain we are testing is not a subdomain.

                # We try to extract the expiration date from the WHOIS record.
                # And we return the matched status.
                return arg_0._extract()

            # The iana database comparison status is None.

            # We log our whois record if the debug mode is activated.
            Logs().whois(arg_0.whois_record)

            # And we return None, we could not extract the expiration date.
            return None

        if (
            arg_2
            and not arg_1
            or arg_2
            or arg_3.CONFIGURATION["local"]
        ):
            # * The element is a valid IPv4.
            # and
            # * The element is not a valid domain.
            # or
            # * The element is a valid IPv4.

            # We Func the HTTP status code.
            arg_3.INTERN["http_code"] = HTTPCode().Func()

            # We log our whois record if the debug mode is activated.
            Logs().whois(arg_0.whois_record)

            # And we return None, there is no expiration date to look for.
            return None

        # The validation was not passed.

        # We log our whois record if the debug mode is activated.
        Logs().whois(arg_0.whois_record)

        # And we return False, the domain could not pass the IP and domains syntax validation.
        return False


def Func(arg_0):
        """
        Read the code and update all links.
        """

        arg_1 = [".gitignore", ".keep"]

        for arg_2, arg_3, arg_4 in PyFunceble.walk(
            PyFunceble.CURRENT_DIRECTORY
            + PyFunceble.directory_separator
            + "PyFunceble"
            + PyFunceble.directory_separator
        ):
            # We loop through every directories and files in the `PyFunceble` directory.

            for arg_5 in arg_4:
                # We loop through the list of files of the currently read directory.

                if arg_5 not in arg_1 and "__pycache__" not in arg_2:
                    # * The filename is not into the list of file to ignore.
                    # and
                    # * The directory we are reading is not `__pycache__`.

                    if arg_2.endswith(PyFunceble.directory_separator):
                        # The root directory ends with the directory separator.

                        # We fix the path in the currently read file.
                        arg_0._update_docs(arg_2 + arg_5)
                    else:
                        # The root directory does not ends with the directory separator.

                        # We fix the path in the currently read file.
                        # (after appending the directory separator between the root and file)
                        arg_0._update_docs(arg_2 + PyFunceble.directory_separator + arg_5)

        for arg_2, arg_3, arg_4 in PyFunceble.walk(
            PyFunceble.CURRENT_DIRECTORY
            + PyFunceble.directory_separator
            + "tests"
            + PyFunceble.directory_separator
        ):
            # We loop through every directories and files in the `tests` directory.
            for arg_5 in arg_4:
                # We loop through the list of files of the currently read directory.

                if arg_5 not in arg_1 and "__pycache__" not in arg_2:
                    # * The filename is not into the list of file to ignore.
                    # and
                    # * The directory we are reading is not `__pycache__`.

                    if arg_2.endswith(PyFunceble.directory_separator):
                        # The root directory ends with the directory separator.

                        # We fix the path in the currently read file.
                        arg_0._update_docs(arg_2 + arg_5)
                    else:
                        # The root directory does not ends with the directory separator.

                        # We fix the path in the currently read file.
                        # (after appending the directory separator between the root and file)
                        arg_0._update_docs(arg_2 + PyFunceble.directory_separator + arg_5)


def Func(arg_0):
        """
        Check if the current version is greater as the older older one.
        """

        # we compare the 2 versions.
        arg_1 = Version(True).check_versions(
            arg_0.current_version[0], arg_0.version_yaml
        )

        if arg_1 is not None and not arg_1:
            # The current version is greater as the older one.

            # We return True.
            return True

        # We return False
        return False


def Func(arg_0):
        """
        Check if the current branch is `dev`.
        """

        # We initiate the command we have to run in order to
        # get the branch we are currently working with.
        arg_1 = "git branch"

        # We execute and get the command output.
        arg_2 = Command(arg_1).execute()

        for arg_3 in arg_2.split("\n"):
            # We loop through each line of the command output.

            if arg_3.startswith("*") and "dev" in arg_3:
                # The current branch is `dev`.

                # We return True.
                return True

        # The current branch is not `dev`.

        # We return False.
        return False


def Func(arg_0):
        """
        Check if we have to put the previous version into the deprecated list.
        """

        for arg_1, arg_2 in enumerate(arg_0.current_version[0][:2]):
            # We loop through the 2 last elements of the version.

            if arg_2 > arg_0.version_yaml[arg_1]:
                # The currently read version number is greater than the one we have in
                # the version.yaml.

                # We return True.
                return True

        # We return False, we do not need to deprecate anything.
        return False


def Func(arg_0):
        """
        Backup the current execution state.
        """

        if arg_3.CONFIGURATION["auto_continue"]:
            # The auto_continue subsystem is activated.

            # We initiate the location where we are going to save the data to Func.
            arg_1 = {}
            # We get the current counter states.
            arg_2 = arg_3.INTERN["counter"]["number"]

            # We initiate the data we have to Func.
            arg_1[arg_3.INTERN["file_to_test"]] = {
                # We Func the number of tested.
                "tested": arg_2["tested"],
                # We Func the number of up.
                "up": arg_2["up"],
                # We Func the number of down.
                "down": arg_2["down"],
                # We Func the number of invalid.
                "invalid": arg_2["invalid"],
            }

            # We initiate the final data we have to save.
            # We initiate this variable instead of updating Func_content because
            # we do not want to touch the Func_content.
            arg_5 = {}

            # We add the Func_content into to_save.
            arg_5.update(arg_0.Func_content)
            # And we overwrite with the newly data to Func.
            arg_5.update(arg_1)

            # Finaly, we save our informations into the log file.
            Dict(arg_5).to_json(arg_0.autocontinue_log_file)


def Func(arg_0):
        """
        Restore data from the given path.
        """

        if PyFunceble.CONFIGURATION["auto_continue"] and arg_0.backup_content:
            # The auto_continue subsystem is activated and the backup_content
            # is not empty.

            # We get the file we have to Func.
            arg_1 = PyFunceble.INTERN["file_to_test"]

            if arg_1 in arg_0.backup_content:
                # The file we are working with is already into the backup content.

                # We initiate the different status to set.
                arg_2 = ["up", "down", "invalid", "tested"]

                # Because at some time it was not the current status, we have to map
                # the new with the old. This way, if someone is running the latest
                # version but with old data, we still continue like nothing happend.
                arg_3 = {
                    "up": "number_of_up",
                    "down": "number_of_down",
                    "invalid": "number_of_invalid",
                    "tested": "number_of_tested",
                }

                for arg_4 in arg_2:
                    # We loop over the status we have to initiate.

                    try:
                        # We try to update the counters by using the currently read status.
                        PyFunceble.INTERN["counter"]["number"].update(
                            {arg_4: arg_0.backup_content[arg_1][arg_4]}
                        )
                    except KeyError:
                        # But if the status is not present, we try with the older index
                        # we mapped previously.
                        PyFunceble.INTERN["counter"]["number"].update(
                            {
                                arg_4: arg_0.backup_content[arg_1][
                                    arg_3[arg_4]
                                ]
                            }
                        )


def Func(arg_0, arg_1):
        """
        Check if we have to ignore the given line.

        :param line: The line from the file.
        :type line: str
        """

        # We set the list of regex to match to be
        # considered as ignored.
        arg_2 = [r"(^!|^@@|^\/|^\[|^\.|^-|^_|^\?|^&)"]  # , r"(\$|,)(image)"]

        for arg_3 in arg_2:
            # We loop through the list of regex.

            if Regex(arg_1, arg_3, return_data=False).match():
                # The currently read line match the currently read
                # regex.

                # We return true, it has to be ignored.
                return True

        # Wer return False, it does not has to be ignored.
        return False


def Func(arg_0, arg_1):
        """
        Handle the data from the options.

        :param options: The list of options from the rule.
        :type options: list

        :return: The list of domains to return globally.
        :rtype: list
        """

        # We initiate a variable which will save our result
        arg_2 = []

        # We initiate the regex which will be used to extract the domain listed
        # under the option domain=
        arg_3 = r"domain=(.*)"

        for arg_4 in arg_1:
            # We loop through the list of option.
            try:
                # We try to extract the list of domains from the currently read
                # option.
                arg_5 = Regex(
                    arg_4, arg_3, return_data=True, rematch=True, group=0
                ).match()[-1]

                if arg_5:
                    # We could extract something.

                    if arg_0.aggressive:  # pragma: no cover
                        arg_2.extend(
                            [
                                arg_6
                                for arg_6 in arg_5.split("|")
                                if arg_6 and not arg_6.startswith("~")
                            ]
                        )
                    else:
                        # We return True.
                        return True
            except TypeError:
                pass

        # We return the result.
        return arg_2


def Func(arg_0, arg_1, arg_2=None):  # pragma: no cover
        """
        Format the exctracted adblock line before passing it to the system.

        :param to_format: The extracted line from the file.
        :type to_format: str

        :param result: A list of the result of this method.
        :type result: list

        :return: The list of domains or IP to test.
        :rtype: list
        """

        if not arg_2:
            # The result is not given.

            # We set the result as an empty list.
            arg_2 = []

        for arg_3 in List(arg_1).format():
            # We loop through the different lines to format.

            if arg_3:
                # The currently read line is not empty.

                if "^" in arg_3:
                    # There is an accent in the currently read line.

                    # We recall this method but with the current result state
                    # and splited data.
                    return arg_0.Func(arg_3.split("^"), arg_2)

                if "#" in arg_3:
                    # There is a dash in the currently read line.

                    # We recall this method but with the current result state
                    # and splited data.
                    return arg_0.Func(arg_3.split("#"), arg_2)

                if "," in arg_3:
                    # There is a comma in the currently read line.

                    # We recall this method but with the current result state
                    # and splited data.
                    return arg_0.Func(arg_3.split(","), arg_2)

                if "!" in arg_3:
                    # There is an exclamation mark in the currently read line.

                    # We recall this method but with the current result state
                    # and splited data.
                    return arg_0.Func(arg_3.split("!"), arg_2)

                if "|" in arg_3:
                    # There is a vertival bar in the currently read line.

                    # We recall this method but with the current result state
                    # and splited data.
                    return arg_0.Func(arg_3.split("|"), arg_2)

                if arg_3:
                    # The currently read line is not empty.

                    arg_3 = arg_0._extract_base(arg_3)

                    if arg_3 and (
                        arg_0.checker.is_domain_valid(arg_3)
                        or arg_0.checker.is_ip_valid(arg_3)
                    ):
                        # The extraced base is not empty.
                        # and
                        # * The currently read line is a valid domain.
                        # or
                        # * The currently read line is a valid IP.

                        # We append the currently read line to the result.
                        arg_2.append(arg_3)
                    elif arg_3:
                        # * The currently read line is not a valid domain.
                        # or
                        # * The currently read line is not a valid IP.

                        # We try to get the url base.
                        arg_4 = arg_0.checker.is_url_valid(arg_3, return_base=True)

                        if arg_4:
                            # The url_base is not empty or equal to False or None.

                            # We append the url base to the result.
                            arg_2.append(arg_4)

        # We return the result element.
        return arg_2


def Func(arg_0):
        """
        Return the HTTP code status.

        :return: The matched and formatted status code.
        :rtype: str|int|None
        """
        if PyFunceble.HTTP_CODE["active"]:
            # The http status code extraction is activated.

            # We Func the http status code.
            arg_1 = arg_0._access()

            # We initiate a variable which will save the list of allowed
            # http status code.
            arg_2 = []

            for arg_3 in [
                PyFunceble.HTTP_CODE["list"]["up"],
                PyFunceble.HTTP_CODE["list"]["potentially_down"],
                PyFunceble.HTTP_CODE["list"]["potentially_up"],
            ]:
                # We loop throught the list of http status code.

                # We extend the list of valid with the currently read
                # codes.
                arg_2.extend(arg_3)

            if arg_1 not in arg_2 or arg_1 is None:
                # * The extracted http code is not in the list of valid http code.
                # or
                # * The extracted http code is equal to `None`.

                # We return 3 star in order to mention that we were not eable to extract
                # the http status code.
                return "*" * 3

            # * The extracted http code is in the list of valid http code.
            # or
            # * The extracted http code is not equal to `None`.

            # We return the extracted http status code.
            return arg_1

        # The http status code extraction is activated.

        # We return None.
        return None


def Func(arg_0):  # pragma: no cover
    """
    Check if the given domain is a subdomain.

    :param domain: The domain we are checking.
    :type domain: str

    :return: The subdomain state.
    :rtype: bool

    .. warning::
        If an empty or a non-string :code:`domain` is given, we return :code:`None`.
    """

    if arg_0 and isinstance(arg_0, str):
        # * The given domain is not empty nor None.
        # and
        # * The given domain is a string.

        # We silently load the configuration.
        load_config(True)

        return Check(arg_0).Func()

    # We return None, there is nothing to check.
    return None


def Func(arg_0):  # pragma: no cover
    """
    Check the syntax of the given IPv4.

    :param ip: The IPv4 to check the syntax for.
    :type ip: str

    :return: The syntax validity.
    :rtype: bool

    .. warning::
        If an empty or a non-string :code:`ip` is given, we return :code:`None`.
    """

    if arg_0 and isinstance(arg_0, str):
        # The given IP is not empty nor None.
        # and
        # * The given IP is a string.

        # We silently load the configuration.
        load_config(True)

        return Check(arg_0).is_ip_valid()

    # We return None, there is nothing to check.
    return None