Python glob.glob() Examples

def delete_previous_checkpoints(self, num_previous=5):
        """
        Deletes all previous checkpoints that are <num_previous> before the present checkpoint.
        This is done to prevent blowing out of memory due to too many checkpoints
        
        :param num_previous:
        :return:
        """
        self.present_checkpoints = glob.glob(self.get_checkpoint_location() + '/*.ckpt')
        if len(self.present_checkpoints) > num_previous:
            present_ids = [self.__get_id(ckpt) for ckpt in self.present_checkpoints]
            present_ids.sort()
            ids_2_delete = present_ids[0:len(present_ids) - num_previous]
            for ckpt_id in ids_2_delete:
                ckpt_file_nm = self.get_checkpoint_location() + '/model_' + str(ckpt_id) + '.ckpt'
                os.remove(ckpt_file_nm) 

def directory_has_smart_contract(location):
	# returns bool if there is a tsol contract in said directory
	# probably makes more sense to put this inside of the tsol package
	code_path = glob.glob(os.path.join(location, '*.tsol'))
	example = glob.glob(os.path.join(location, '*.json'))

	assert len(code_path) > 0 and len(example) > 0, 'Could not find *.tsol and *.json files in provided directory.'

	# pop off the first file name and turn the code into a file object
	code = open(code_path[0])

	# turn the example into a dict
	with open(example[0]) as e:
		example = json.load(e)

	try:
		tsol.compile(code, example)
	except Exception as e:
		print(e)
		return False
	return True 

def loadImgs(imgsfolder, rows, cols):
    myfiles = glob.glob(imgsfolder+'*.jpg', 0)
    nPics = len(myfiles)
    X = np.zeros((nPics, rows, cols), dtype = 'uint8')
    i = 0; imgNames = []
    for filepath in myfiles:
        sd = filepath.rfind('/'); ed = filepath.find('.'); filename = filepath[int(sd+1):int(ed)]
        imgNames.append(filename)  
        
        temp = cv2.imread(filepath, 0)
        if temp == None:
            continue
        elif temp.size < 1000:
            continue
        elif temp.shape == [rows, cols, 1]:
            X[i,:,:] = temp
        else:
            X[i,:,:] = cv2.resize(temp,(cols, rows), interpolation = cv2.INTER_CUBIC)
        i += 1
    return X, imgNames 

def gen_pruned_features(name):
    print name
    feature_dir = 'data/feature_' + args.domain + \
        '_' + str(args.n_boxes) + 'boxes/' + name + '/'
    n_clips = len(glob.glob(feature_dir + BOX_FEATURE + '*.npy'))
    for clip in xrange(1, n_clips+1):
        pruned_boxes = np.load(feature_dir + BOX_FEATURE + '{:04d}.npy'.format(clip)) # (50, args.n_boxes, 4)
        roisavg = np.load(feature_dir + 'roisavg{:04d}.npy'.format(clip)) # (50, args.n_boxes, 512)

        pruned_roisavg = np.zeros((50, args.n_boxes, 512))
        for frame in xrange(50):
            for box_id in xrange(args.n_boxes):
                if not np.array_equal(pruned_boxes[frame][box_id], np.zeros((4))):
                    pruned_roisavg[frame][box_id] = roisavg[frame][box_id]

        np.save('{}pruned_roisavg{:04d}'.format(feature_dir, clip), pruned_roisavg) 

def execute_recreate(self):
		repairedfiles=[]
		recreatedfiles=[]
		if self.len_verified_actions>0:
			for f,retcode in self.verifiedfiles_repairable+self.verifiedfiles_err:
				yield 1
				pars = glob.glob(glob.escape(f)+'*.par2')
				for p in pars:
					os.remove(p)
				recreatedfiles.append([ f , self.runpar([self.par_cmd,"c","-r"+self.percentage,"-n"+self.nr_parfiles,f]) ])

		self.recreate = sorted(recreatedfiles)
		self.recreate_err = sorted([f for f,err in recreatedfiles if err !=0])
		self.fixes = sorted([f for f,err in repairedfiles if err ==0])
		self.fixes_err = sorted([f for f,err in repairedfiles if err !=0])

		self.len_all_err = self.len_all_err + len(self.recreate_err) + len(self.fixes_err)

		return 

def __call__(self):
        ctxt = {}
        mappings = super(PhyNICMTUContext, self).__call__()
        if mappings and mappings.keys():
            ports = sorted(mappings.keys())
            napi_settings = NeutronAPIContext()()
            mtu = napi_settings.get('network_device_mtu')
            all_ports = set()
            # If any of ports is a vlan device, its underlying device must have
            # mtu applied first.
            for port in ports:
                for lport in glob.glob("/sys/class/net/%s/lower_*" % port):
                    lport = os.path.basename(lport)
                    all_ports.add(lport.split('_')[1])

            all_ports = list(all_ports)
            all_ports.extend(ports)
            if mtu:
                ctxt["devs"] = '\\n'.join(all_ports)
                ctxt['mtu'] = mtu

        return ctxt 

def inventory_data_dir(input_dir):
    ''' Inventory data, assuming flat directory structure, assuming a directory hierarchy'''
    training_names = ls(input_dir + '/*/*_train.data') # This supports subdirectory structures obtained by concatenating bundles
    for i in range(0,len(training_names)):
        name = training_names[i]
        training_names[i] = name[-name[::-1].index(filesep):-name[::-1].index('_')-1]
        check_dataset(os.path.join(input_dir, training_names[i]), training_names[i])
    return training_names 

def copy_results(datanames, result_dir, output_dir, verbose):
    ''' This function copies all the [dataname.predict] results from result_dir to output_dir'''
    for basename in datanames:
        try:
            test_files = ls(result_dir + "/" + basename + "*_test*.predict")
            if len(test_files)==0: 
                vprint(verbose, "[-] Missing 'test' result files for " + basename) 
                return 0
            for f in test_files: copy2(f, output_dir)
            valid_files = ls(result_dir + "/" + basename + "*_valid*.predict")
            if len(valid_files)==0: 
                vprint(verbose, "[-] Missing 'valid' result files for " + basename) 
                return 0
            for f in valid_files: copy2(f, output_dir)
            vprint( verbose,  "[+] " + basename.capitalize() + " copied")
        except:
            vprint(verbose, "[-] Missing result files")
            return 0
    return 1

# ================ Display directory structure and code version (for debug purposes) ================= 

def get_last_checkpoint(self):
        """
        Assumes that the last checpoint has a higher checkpoint id. Checkpoint will be saved in this exact format
        model_<checkpint_id>.ckpt Eg - model_100.ckpt

        :return:
        """
        '''

        '''
        self.present_checkpoints = glob.glob(self.get_checkpoint_location() + '/*.ckpt')
        if len(self.present_checkpoints) != 0:
            present_ids = [self.__get_id(ckpt) for ckpt in self.present_checkpoints]
            # sort the ID's and return the model for the last ID
            present_ids.sort()
            self.last_id = present_ids[-1]
            self.last_ckpt = self.get_checkpoint_location() + '/model_' +\
                str(self.last_id) + '.ckpt'

        return self.last_ckpt 

def _get_files(self):
        """
        Get files by self.mask from self.path dir.
        """

        file_paths = glob.glob(os.path.join(self.path, self.mask))

        files = []
        for f in file_paths:
            if os.path.isfile(f):
                file_name = os.path.basename(f)
                file_name = os.path.splitext(file_name)[0]

                mtime = int(os.path.getmtime(f) * 1000)

                files.append({'path': f, 'name': file_name, 'mtime': mtime})

        return files 

def run(self):
        self.run_command("egg_info")
        from glob import glob

        for pattern in self.match:
            pattern = self.distribution.get_name() + '*' + pattern
            files = glob(os.path.join(self.dist_dir, pattern))
            files = [(os.path.getmtime(f), f) for f in files]
            files.sort()
            files.reverse()

            log.info("%d file(s) matching %s", len(files), pattern)
            files = files[self.keep:]
            for (t, f) in files:
                log.info("Deleting %s", f)
                if not self.dry_run:
                    if os.path.isdir(f):
                        shutil.rmtree(f)
                    else:
                        os.unlink(f) 

def find_data_files(self, package, src_dir):
        """Return filenames for package's data files in 'src_dir'"""
        patterns = self._get_platform_patterns(
            self.package_data,
            package,
            src_dir,
        )
        globs_expanded = map(glob, patterns)
        # flatten the expanded globs into an iterable of matches
        globs_matches = itertools.chain.from_iterable(globs_expanded)
        glob_files = filter(os.path.isfile, globs_matches)
        files = itertools.chain(
            self.manifest_files.get(package, []),
            glob_files,
        )
        return self.exclude_data_files(package, src_dir, files) 

def _get_platform_patterns(spec, package, src_dir):
        """
        yield platform-specific path patterns (suitable for glob
        or fn_match) from a glob-based spec (such as
        self.package_data or self.exclude_package_data)
        matching package in src_dir.
        """
        raw_patterns = itertools.chain(
            spec.get('', []),
            spec.get(package, []),
        )
        return (
            # Each pattern has to be converted to a platform-specific path
            os.path.join(src_dir, convert_path(pattern))
            for pattern in raw_patterns
        )


# from Python docs 

def prepare_data(video_dir, output_dir, max_video_limit=1, screen_display=False):
	"""
	Args:
		1. video_dir:			Directory storing all videos to be processed.
		2. output_dir:			Directory where all mouth region images are to be stored.
		3. max_video_limit:	 	Puts a limit on number of videos to be used for processing.
		4. screen_display:		Decides whether to use screen (to display video being processed).
	"""

	video_file_paths = sorted(glob.glob(video_dir + "*.mp4"))[:max_video_limit]

	load_trained_models()

	if not FACE_DETECTOR_MODEL:
		print "[ERROR]: Please ensure that you have dlib's landmarks predictor file " + \
			  "at data/dlib_data/. You can download it here: " + \
			  "http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2"
		return False

	for path in video_file_paths:
		extract_mouth_regions(path, output_dir, screen_display)

	return True 

def convert_mp4(video_dir, audio_dir):
	'''
	Args: 
		1. video_dir:	Directory for all video files
		2. audio_dir:	Directory where all converted files will be stored.
	'''

	# Get all file names
	video_file_names = sorted(glob.glob(video_dir + "*.mp4"))
	# Extract actual names of file, also remove any extensions
	video_names = map(lambda x : x.split('/')[-1].split(".")[0], video_file_names)

	# Command for converting video to audio
	command = "ffmpeg -i " + video_dir + "{0}.mp4 -ab 96k -ar 44100 -vn " + audio_dir + "{0}.wav"

	for name in video_names:
		subprocess.call(command.format(name), shell=True) 

def run(self):
        self.run_command("egg_info")
        from glob import glob

        for pattern in self.match:
            pattern = self.distribution.get_name() + '*' + pattern
            files = glob(os.path.join(self.dist_dir, pattern))
            files = [(os.path.getmtime(f), f) for f in files]
            files.sort()
            files.reverse()

            log.info("%d file(s) matching %s", len(files), pattern)
            files = files[self.keep:]
            for (t, f) in files:
                log.info("Deleting %s", f)
                if not self.dry_run:
                    if os.path.isdir(f):
                        shutil.rmtree(f)
                    else:
                        os.unlink(f) 

def find_data_files(self, package, src_dir):
        """Return filenames for package's data files in 'src_dir'"""
        patterns = self._get_platform_patterns(
            self.package_data,
            package,
            src_dir,
        )
        globs_expanded = map(glob, patterns)
        # flatten the expanded globs into an iterable of matches
        globs_matches = itertools.chain.from_iterable(globs_expanded)
        glob_files = filter(os.path.isfile, globs_matches)
        files = itertools.chain(
            self.manifest_files.get(package, []),
            glob_files,
        )
        return self.exclude_data_files(package, src_dir, files) 

def _get_platform_patterns(spec, package, src_dir):
        """
        yield platform-specific path patterns (suitable for glob
        or fn_match) from a glob-based spec (such as
        self.package_data or self.exclude_package_data)
        matching package in src_dir.
        """
        raw_patterns = itertools.chain(
            spec.get('', []),
            spec.get(package, []),
        )
        return (
            # Each pattern has to be converted to a platform-specific path
            os.path.join(src_dir, convert_path(pattern))
            for pattern in raw_patterns
        )


# from Python docs 

def create_nodule_mask_subset(luna_subset):

    LUNA_DIR = LUNA_BASE_DIR % luna_subset
    files = glob.glob(''.join([LUNA_DIR,'*.mhd']))
    annotations =    pd.read_csv(LUNA_ANNOTATIONS)
    annotations.head()
   
    file = "../luna/original_lungs/subset0/1.3.6.1.4.1.14519.5.2.1.6279.6001.564534197011295112247542153557.mhd"
    for file in files:
        imagePath = file
        seriesuid =  file[file.rindex('/')+1:]  # everything after the last slash
        seriesuid = seriesuid[:len(seriesuid)-len(".mhd")]  # cut out the suffix to get the uid
        
        cands = annotations[seriesuid == annotations.seriesuid]  # select the annotations for the current series
        #print (cands)
        create_nodule_mask (imagePath, cands) 

def setSdrRoot(self, sdrroot):
        self.nodeTreeWidget.clear()
        nodepath = os.path.join(sdrroot, 'dev/nodes/*/DeviceManager.dcd.xml')
        for dcdfile in glob.glob(nodepath):
            try:
                node = dcd.parse(dcdfile)
                name = node.get_name()
                domain = node.get_domainmanager().get_namingservice().get_name()
                domain = domain.split('/')[-1]
                dcdfile = dcdfile.replace(os.path.join(sdrroot,'dev'), '')
                # Add the node to the tree widget, including the default domain
                # as a hidden column
                QtGui.QTreeWidgetItem(self.nodeTreeWidget, [name, dcdfile, domain])
            except:
                pass
        # Readjust the column widths to ensure that the entire name is shown
        # and that the scollbar allows viewing the entire DCD filename
        self.nodeTreeWidget.resizeColumnToContents(0)
        self.nodeTreeWidget.resizeColumnToContents(1)

        # Sort alphabetically by name
        self.nodeTreeWidget.sortByColumn(0, 0) 

def __call__(self):
        ctxt = {}
        mappings = super(PhyNICMTUContext, self).__call__()
        if mappings and mappings.keys():
            ports = sorted(mappings.keys())
            napi_settings = NeutronAPIContext()()
            mtu = napi_settings.get('network_device_mtu')
            all_ports = set()
            # If any of ports is a vlan device, its underlying device must have
            # mtu applied first.
            for port in ports:
                for lport in glob.glob("/sys/class/net/%s/lower_*" % port):
                    lport = os.path.basename(lport)
                    all_ports.add(lport.split('_')[1])

            all_ports = list(all_ports)
            all_ports.extend(ports)
            if mtu:
                ctxt["devs"] = '\\n'.join(all_ports)
                ctxt['mtu'] = mtu

        return ctxt 

def main():
    parser = argparse.ArgumentParser(description='FractalNet on CIFAR-100')
    parser.add_argument('--load', nargs=1,
                        help='Test network with weights file')
    parser.add_argument('--deepest', help='Build with only deepest column activated',
                        action='store_true')
    parser.add_argument('--test-all', nargs=1,
                        help='Test all the weights from a folder')
    parser.add_argument('--summary',
                        help='Print a summary of the network and exit',
                        action='store_true')
    args = parser.parse_args()
    net = build_network(deepest=args.deepest)
    if args.load:
        weights = args.load[0]
        test_network(net, weights)
    elif args.test_all:
        folder = args.test_all[0]
        for weights in glob.glob(os.path.join(folder, 'weigh*')):
            test_network(net, weights)
    elif args.summary:
        net.summary()
    else:
        train_network(net) 

def main():
    parser = argparse.ArgumentParser(description='FractalNet on CIFAR-10')
    parser.add_argument('--load', nargs=1,
                        help='Test network with weights file')
    parser.add_argument('--deepest', help='Build with only deepest column activated',
                        action='store_true')
    parser.add_argument('--test-all', nargs=1,
                        help='Test all the weights from a folder')
    parser.add_argument('--summary',
                        help='Print a summary of the network and exit',
                        action='store_true')
    args = parser.parse_args()
    net = build_network(deepest=args.deepest)
    if args.load:
        weights = args.load[0]
        test_network(net, weights)
    elif args.test_all:
        folder = args.test_all[0]
        for weights in glob.glob(os.path.join(folder, 'weigh*')):
            test_network(net, weights)
    elif args.summary:
        net.summary()
    else:
        train_network(net) 

def guess_paired_path(path):
	"""
	Given the path to a file that contains the sequences for the first read in a
	pair, return the file that contains the sequences for the second read in a
	pair. Both files must have identical names, except that the first must have
	a '1' in its name, and the second must have a '2' at the same position.

	Return None if no second file was found or if there are too many candidates.

	>>> guess_paired_path('file.1.fastq.gz')  # doctest: +SKIP
	'file.2.fastq.gz'  # if that file exists
	"""
	base, name = os.path.split(path)
	glob_pattern = os.path.join(base, name.replace('1', '?'))
	paths = [p for p in glob.glob(glob_pattern) if is_1_2(p, path) and '_R1_' not in p]
	if len(paths) != 1:
		return None
	return paths[0] 

def slot_autoload_victim_clients(self):
        
        # clear
        self.combo_wep_mac_cfrag.clear()
        self.combo_wpa_mac_hand.clear()

        # check *.csv files
        if not glob.glob(config_dir + "*.csv"):
            self.output("no csv files in " + config_dir, 1)
            return
        
        # open dump file
        dump_file = commands.getoutput("cat " + config_dir + "*.csv | egrep -e '^[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2}.+[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2},' | grep " + self.ac + " | tr ',' ' ' | awk ' { print $1 } '")
        dump_file = dump_file.split('\n')        
        
        for mac in dump_file:
            self.combo_wep_mac_cfrag.insertItem(0, mac)
            self.combo_wpa_mac_hand.insertItem(0, mac)

    #
    # Add cracked key to database
    # 

def slot_autoload_victim_clients(self):
        
        # clear
        self.combo_wep_mac_cfrag.clear()
        self.combo_wpa_mac_hand.clear()

        # check *.csv files
        if not glob.glob(config_dir + "*.csv"):
            self.output("no csv files in " + config_dir, 1)
            return
        
        # open dump file
        dump_file = commands.getoutput("cat " + config_dir + "*.csv | egrep -e '^[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2}.+[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2}:[0-9a-fA-F]{2,2},' | grep " + self.ac + " | tr ',' ' ' | awk ' { print $1 } '")
        dump_file = dump_file.split('\n')        
        
        for mac in dump_file:
            self.combo_wep_mac_cfrag.insertItem(0, mac)
            self.combo_wpa_mac_hand.insertItem(0, mac)

    #
    # Add cracked key to database
    # 

def testall(list, recursive, toplevel):
    import sys
    import os
    for filename in list:
        if os.path.isdir(filename):
            print filename + '/:',
            if recursive or toplevel:
                print 'recursing down:'
                import glob
                names = glob.glob(os.path.join(filename, '*'))
                testall(names, recursive, 0)
            else:
                print '*** directory (use -r) ***'
        else:
            print filename + ':',
            sys.stdout.flush()
            try:
                print what(filename)
            except IOError:
                print '*** not found ***' 

def testall(list, recursive, toplevel):
    import sys
    import os
    for filename in list:
        if os.path.isdir(filename):
            print filename + '/:',
            if recursive or toplevel:
                print 'recursing down:'
                import glob
                names = glob.glob(os.path.join(filename, '*'))
                testall(names, recursive, 0)
            else:
                print '*** directory (use -r) ***'
        else:
            print filename + ':',
            sys.stdout.flush()
            try:
                print what(filename)
            except IOError:
                print '*** not found ***' 

def _make_writer(self):
        """

        :return:
        """
        self._buffer = StringIO()

        self._bytes_written = 0
        now = datetime.now()
        self.fname = self.log_folder + '/' + now.strftime('%Y%m%d_%H%M%S_{}.json'.format(self.make_random(6)))
        self.fname = str(pathlib.Path(self.fname))
        self._out_fh = open(self.fname, 'w')
        self.write_pid()
        logging.warning("Writing to  {} ({} bytes)".format(self._out_fh.name, self.max_bytes))

        # compress any old files still lying around
        for fname in glob(self.log_folder+"/*.json"):
            if fname != self.fname:
                self._compress(fname) 

def __init__(self, graph, start):
        for f in glob.glob(self.WSDIR + '/*.png'):
            os.remove(f)
        for f in glob.glob(self.WSDIR + '/*.dot'):
            os.remove(f)

        self._n = 0

        ranks = {start: 0}
        for s, d in bfs_edges(graph, start):
            ranks[d] = ranks[s] + 1
        _ranks = {}
        for n, r in ranks.items():
            _ranks.setdefault(r, set()).add(n)
        ranks = _ranks

        self._ranks = ''
        fmt = '  "{n}" [pos="{x},{y}!"] ;\n'
        for r, ns in sorted(ranks.items()):
            ns = sorted([str(n) for n in ns])
            for i, n in enumerate(ns):
                x = i * 2 + r % 2
                y = -r * 2
                self._ranks += fmt.format(n=n, x=x, y=y) 

def find_previous(self):
    sfiles = os.path.join(self.output_dir, cfg.TRAIN.SNAPSHOT_PREFIX + '_iter_*.ckpt.meta')
    sfiles = glob.glob(sfiles)
    sfiles.sort(key=os.path.getmtime)
    # Get the snapshot name in TensorFlow
    redfiles = []
    for stepsize in cfg.TRAIN.STEPSIZE:
      redfiles.append(os.path.join(self.output_dir, 
                      cfg.TRAIN.SNAPSHOT_PREFIX + '_iter_{:d}.ckpt.meta'.format(stepsize+1)))
    sfiles = [ss.replace('.meta', '') for ss in sfiles if ss not in redfiles]

    nfiles = os.path.join(self.output_dir, cfg.TRAIN.SNAPSHOT_PREFIX + '_iter_*.pkl')
    nfiles = glob.glob(nfiles)
    nfiles.sort(key=os.path.getmtime)
    redfiles = [redfile.replace('.ckpt.meta', '.pkl') for redfile in redfiles]
    nfiles = [nn for nn in nfiles if nn not in redfiles]

    lsf = len(sfiles)
    assert len(nfiles) == lsf

    return lsf, nfiles, sfiles 

def clean_project_files(path_or_glob, logger) :
    """
    Resolve file name references and ensure they are properly deleted
    """
    if "*" in path_or_glob :
        files_to_clean = glob.glob(path_or_glob)
    else :
        files_to_clean = [os.path.expanduser(path_or_glob)]

    for file_to_clean in files_to_clean :
        if not os.path.exists(file_to_clean) :
            continue

        if os.path.isdir(file_to_clean) :
            logger.info("Removing directory {}".format(file_to_clean))
            shutil.rmtree(file_to_clean)
        else :
            logger.info("Removing file {}".format(file_to_clean))
            os.remove(file_to_clean) 

def get_data(datadir):
    #datadir = args.data
    # assume each image is 512x256 split to left and right
    imgs = glob.glob(os.path.join(datadir, '*.jpg'))
    data_X = np.zeros((len(imgs),3,img_cols,img_rows))
    data_Y = np.zeros((len(imgs),3,img_cols,img_rows))  
    i = 0
    for file in imgs:
        img = cv2.imread(file,cv2.IMREAD_COLOR)
        img = cv2.resize(img, (img_cols*2, img_rows)) 
        #print('{} {},{}'.format(i,np.shape(img)[0],np.shape(img)[1]))
        img = np.swapaxes(img,0,2)

        X, Y = split_input(img)

        data_X[i,:,:,:] = X
        data_Y[i,:,:,:] = Y
        i = i+1
    return data_X, data_Y 

def find_data_files(source, target, patterns):
    """
    Locates the specified data-files and returns the matches
    in a data_files compatible format.

    source is the root of the source data tree.
        Use '' or '.' for current directory.
    target is the root of the target data tree.
        Use '' or '.' for the distribution directory.
    patterns is a sequence of glob-patterns for the
        files you want to copy.
    """
    if glob.has_magic(source) or glob.has_magic(target):
        raise ValueError("Magic not allowed in src, target")
    ret = {}
    for pattern in patterns:
        pattern = os.path.join(source, pattern)
        for filename in glob.glob(pattern):
            if os.path.isfile(filename):
                targetpath = os.path.join(
                    target, os.path.relpath(filename, source)
                )
                path = os.path.dirname(targetpath)
                ret.setdefault(path, []).append(filename)
    return sorted(ret.items()) 

def load_all(self, config):
    """
    Load all existing data.

    :param config: Configuration object.
    :type config: ``dict``
    """
    self.buckets = {}

    for path in glob.glob(os.path.join(
            config[helper.DATA_ROOT], '%s_buckets-*.pickle' % self.NAME)):
      with open(path, 'rb') as inp:
        try:
          for key, value in pickle.load(inp).items():
            if key in self.buckets:
                self.buckets[key]['bins'].update(value['bins'])
            else:
              self.buckets[key] = value
        except:
          logging.warning('could not load related_%s data', self.NAME) 

def stream_reuters_documents(reuters_dir):
    """ Iterate over documents of the Reuters dataset.

    The Reuters archive will automatically be downloaded and uncompressed if
    the `data_path` directory does not exist.

    Documents are represented as dictionaries with 'body' (str),
    'title' (str), 'topics' (list(str)) keys.

    """
    parser = ReutersParser()
    for filename in glob(os.path.join(reuters_dir, "*.sgm")):
        for doc in parser.parse(open(filename, 'rb')):
            yield doc


##################### main ###################### 

def _admin(self, filename="user.admin.json"):
        """
        Expect admin user file; otherwise, search for first system user.
        Update access_key, secret_key
        """
        filepath = "{}/{}".format(self.pathname, filename)
        if os.path.exists(filepath):
            user = json.loads(open(filepath).read())
        else:
            user = None
            for user_file in glob.glob("{}/user.*".format(self.pathname)):
                user = json.loads(open(user_file).read())
                if 'system' in user and user['system'] == "true":
                    break
                user = None
            if not user:
                # No system user
                log.error("No system user for radosgw found")
                return
        self.credentials['access_key'] = user['keys'][0]['access_key']
        self.credentials['secret_key'] = user['keys'][0]['secret_key']
        self.credentials['user_id'] = user['keys'][0]['user']
        self.credentials['success'] = True 

def _parse(line):
    """
    Return globbed files constrained by optional slices or regexes.
    """
    if " " in line:
        parts = re.split('\s+', line)
        files = sorted(glob.glob(parts[0]))
        for optional in parts[1:]:
            filter_type, value = optional.split('=')
            if filter_type == "re":
                regex = re.compile(value)
                files = [m.group(0) for l in files for m in [regex.search(l)] if m]
            elif filter_type == "slice":
                # pylint: disable=eval-used
                files = eval("files{}".format(value))
            else:
                log.warning("keyword {} unsupported".format(filter_type))

    else:
        files = glob.glob(line)
    return files 

def master_minion(self):
        """
        Verify that the master minion setting is a minion
        """
        data = None
        node = None
        local = salt.client.LocalClient()
        for node in self.data.keys():
            data = local.cmd(self.data[node]['master_minion'],
                             'pillar.get', ['master_minion'], expr_form="glob")
            break
        if data:
            self.passed['master_minion'] = "valid"
        else:
            if node:
                msg = "Could not find minion {}.".format(self.data[node]['master_minion'])
                msg += " Check /srv/pillar/ceph/master_minion.sls"
            else:
                msg = "Missing pillar data"
            self.errors['master_minion'] = [msg] 

def _parse(self, line):
        """
        Return globbed files constrained by optional slices or regexes.
        """
        if " " in line:
            parts = re.split(r'\s+', line)
            files = sorted(glob.glob(parts[0]))
            for keyvalue in parts[1:]:
                key, value = keyvalue.split('=')
                if key == "re":
                    regex = re.compile(value)
                    files = [match.group(0) for _file in files
                             for match in [regex.search(_file)] if match]
                elif key == "slice":
                    # pylint: disable=eval-used
                    files = eval("files{}".format(value))
                else:
                    log.warning("keyword {} unsupported".format(key))

        else:
            files = glob.glob(line)
        return files 

def pairs():
    """
    Return an array of devices and paths
    """
    _paths = [pathname for pathname in glob.glob("/var/lib/ceph/osd/*")]
    _pairs = []
    with open('/proc/mounts') as mounts:
        for line in mounts:
            _partition, path = line.split()[:2]
            if path in _paths:
                match = re.match(r'^(.+)\d+$', _partition)
                device = match.group(1)
                if 'nvme' in device:
                    device = device[:-1]
                _pairs.append([device, path])

    return _pairs 

def do_egg_install(self):

        easy_install = self.distribution.get_command_class('easy_install')

        cmd = easy_install(
            self.distribution, args="x", root=self.root, record=self.record,
        )
        cmd.ensure_finalized()  # finalize before bdist_egg munges install cmd
        cmd.always_copy_from = '.'  # make sure local-dir eggs get installed

        # pick up setup-dir .egg files only: no .egg-info
        cmd.package_index.scan(glob.glob('*.egg'))

        self.run_command('bdist_egg')
        args = [self.distribution.get_command_obj('bdist_egg').egg_output]

        if setuptools.bootstrap_install_from:
            # Bootstrap self-installation of setuptools
            args.insert(0, setuptools.bootstrap_install_from)

        cmd.args = args
        cmd.run()
        setuptools.bootstrap_install_from = None

# XXX Python 3.1 doesn't see _nc if this is inside the class 

def run(self):
        self.run_command("egg_info")
        from glob import glob
        for pattern in self.match:
            pattern = self.distribution.get_name()+'*'+pattern
            files = glob(os.path.join(self.dist_dir,pattern))
            files = [(os.path.getmtime(f),f) for f in files]
            files.sort()
            files.reverse()

            log.info("%d file(s) matching %s", len(files), pattern)
            files = files[self.keep:]
            for (t,f) in files:
                log.info("Deleting %s", f)
                if not self.dry_run:
                    os.unlink(f) 

def path_hash(path):
    """Generate a hash checksum of all files matching 'path'. Standard
    wildcards like '*' and '?' are supported, see documentation for the 'glob'
    module for more information.

    :return: dict: A { filename: hash } dictionary for all matched files.
                   Empty if none found.
    """
    return {
        filename: file_hash(filename)
        for filename in glob.iglob(path)
    } 

def restart_on_change(restart_map, stopstart=False, restart_functions=None):
    """Restart services based on configuration files changing

    This function is used a decorator, for example::

        @restart_on_change({
            '/etc/ceph/ceph.conf': [ 'cinder-api', 'cinder-volume' ]
            '/etc/apache/sites-enabled/*': [ 'apache2' ]
            })
        def config_changed():
            pass  # your code here

    In this example, the cinder-api and cinder-volume services
    would be restarted if /etc/ceph/ceph.conf is changed by the
    ceph_client_changed function. The apache2 service would be
    restarted if any file matching the pattern got changed, created
    or removed. Standard wildcards are supported, see documentation
    for the 'glob' module for more information.

    @param restart_map: {path_file_name: [service_name, ...]
    @param stopstart: DEFAULT false; whether to stop, start OR restart
    @param restart_functions: nonstandard functions to use to restart services
                              {svc: func, ...}
    @returns result from decorated function
    """
    def wrap(f):
        @functools.wraps(f)
        def wrapped_f(*args, **kwargs):
            return restart_on_change_helper(
                (lambda: f(*args, **kwargs)), restart_map, stopstart,
                restart_functions)
        return wrapped_f
    return wrap 

def is_phy_iface(interface):
    """Returns True if interface is not virtual, otherwise False."""
    if interface:
        sys_net = '/sys/class/net'
        if os.path.isdir(sys_net):
            for iface in glob.glob(os.path.join(sys_net, '*')):
                if '/virtual/' in os.path.realpath(iface):
                    continue

                if interface == os.path.basename(iface):
                    return True

    return False 

def show_dir(run_dir):
	print('\n=== Listing run dir ===')
	write_list(ls(run_dir))
	write_list(ls(run_dir + '/*'))
	write_list(ls(run_dir + '/*/*'))
	write_list(ls(run_dir + '/*/*/*'))
	write_list(ls(run_dir + '/*/*/*/*')) 

def find_path(text, line, begidx, endidx, \
                dir_only=False, files_only=False, exe_only=False,\
                py_only=False, uploads=False, all_dir=False):
    cur_dir = os.getcwd()
    before_arg = line.rfind(" ", 0, begidx)
    if before_arg == -1:
        return # arg not found

    fixed = line[before_arg+1:begidx]  # fixed portion of the arg
    arg = line[before_arg+1:endidx]

    if uploads:
        os.chdir(uploads_path)
    pattern = arg + '*'

    completions = []
    for path in glob.glob(pattern):
        if dir_only:
            if os.path.isdir(path):
                path = append_slash_if_dir(path)
                completions.append(path.replace(fixed, "", 1))
        elif files_only:
            if not os.path.isdir(path):
                completions.append(path.replace(fixed, "", 1))
        elif exe_only:
            if not os.path.isdir(path):
                if path.endswith('.exe') or path.endswith('.py'):
                    completions.append(path.replace(fixed, "", 1))
        elif py_only:
            if not os.path.isdir(path):
                if path.endswith('.py'):
                    completions.append(path.replace(fixed, "", 1))
        elif all_dir:
            if os.path.isdir(path):
                path = append_slash_if_dir(path)
            completions.append(path.replace(fixed, "", 1))

    os.chdir(cur_dir)
    return completions 

def generate(location):
	# cli wizard for creating a new contract from a template
	if directory_has_smart_contract(location):
		example_payload = json.load(open(glob.glob(os.path.join(location, '*.json'))[0]))
		print(example_payload)
		for k, v in example_payload.items():
			value = input(k + ':')
			if value != '':
				example_payload[k] = value
		print(example_payload)

		code_path = glob.glob(os.path.join(location, '*.tsol'))
		tsol.compile(open(code_path[0]), example_payload)
		print('Code compiles with new payload.')
		selection = ''
		while True:
			selection = input('(G)enerate Solidity contract or (E)xport implementation:')
			if selection.lower() == 'g':
				output_name = input('Name your contract file without an extension:')
				code = tsol.generate_code(open(code_path[0]).read(), example_payload)
				open(os.path.join(location, '{}.sol'.format(output_name)), 'w').write(code)
				break

			if selection.lower() == 'e':
				output_name = input('Name your implementation file without an extension:')
				json.dump(example_payload, open(os.path.join(location, '{}.json'.format(output_name)), 'w'))
				break
	else:
		print('Provided directory does not contain a *.tsol and *.json or does not compile.') 

def __init__(self,dataPath,reserve=2,**args):
		self.dataPath = dataPath
		images = glob.glob(os.path.join(dataPath,'?????.nii.gz'))
		images = [(i,i.replace('.nii.gz','_cc.nii.gz')) for i in images]
		self.train = CCData(images[0:-reserve],**args)
		self.test = CCData(images[reserve:],**args)