Python path.getsize方法代碼示例

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import getsize [as 別名]
def list(self):
		dirs = []
		# TODO: error management
		for d in listdir(self.datapath):
			dp = path.join(self.datapath, d)
			if path.isdir(dp):
				dirs.append({
					"name": d,
					"path": dp,
					"mtime": datetime.datetime.fromtimestamp(path.getmtime(dp)).strftime('%d.%m.%Y %H:%M:%S')
					# "size": path.getsize(dp),
					# "hsize": self.human_size(self.get_size(dp))
				})
		
		dirs.sort(key=lambda dir: dir['name'], reverse=True)
		
		return {'status': 'success', 'data': dirs} 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import getsize [as 別名]
def __init__(self, path, split, tokenizer, bucket_size, ascending=False):
        # Setup
        self.path = path
        self.bucket_size = bucket_size

        # List all wave files
        file_list = []
        for s in split:
            split_list = list(Path(join(path, s)).rglob("*.flac"))
            assert len(split_list) > 0, "No data found @ {}".format(join(path,s))
            file_list += split_list
        # Read text
        text = Parallel(n_jobs=READ_FILE_THREADS)(
            delayed(read_text)(str(f)) for f in file_list)
        #text = Parallel(n_jobs=-1)(delayed(tokenizer.encode)(txt) for txt in text)
        text = [tokenizer.encode(txt) for txt in text]

        # Sort dataset by text length
        #file_len = Parallel(n_jobs=READ_FILE_THREADS)(delayed(getsize)(f) for f in file_list)
        self.file_list, self.text = zip(*[(f_name, txt)
                                          for f_name, txt in sorted(zip(file_list, text), reverse=not ascending, key=lambda x:len(x[1]))]) 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import getsize [as 別名]
def verify(self, sha1=None):
        _dlsize = getsize(self._destination)
        if _dlsize != self.get_size():
            raise FDSizeMismatch(_dlsize, self._fname, self.get_size())

        if not sha1:
            return

        dlsha1 = None
        try:
            result = util.exec_command(["sha1sum", self._destination])
            dlsha1 = result['out']
        except OSError:
            try:
                result = util.exec_command(
                    ["shasum", "-a", "1", self._destination])
                dlsha1 = result['out']
            except OSError:
                pass

        if dlsha1:
            dlsha1 = dlsha1[1:41] if dlsha1.startswith("\\") else dlsha1[:40]
            if sha1 != dlsha1:
                raise FDSHASumMismatch(dlsha1, self._fname, sha1) 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import getsize [as 別名]
def clear_cache(force = False):
  """
  If the folder exists, and has more than 5MB of icons in the cache, delete
  it to clear all the icons then recreate it.
  """
  from os.path import getsize, join, isfile, exists
  from os import makedirs, listdir
  from sublime import cache_path
  from shutil import rmtree

  # The icon cache path
  icon_path = join(cache_path(), "GutterColor")

  # The maximum amount of space to take up
  limit = 5242880 # 5 MB

  if exists(icon_path):
    size = sum(getsize(join(icon_path, f)) for f in listdir(icon_path) if isfile(join(icon_path, f)))
    if force or (size > limit): rmtree(icon_path)

  if not exists(icon_path): makedirs(icon_path) 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import getsize [as 別名]
def _read(filename):
    """ Reads Fortran style binary data into numpy array
    """
    nbytes = getsize(filename)
    with open(filename, 'rb') as file:
        # read size of record
        file.seek(0)
        n = np.fromfile(file, dtype='int32', count=1)[0]
        if n == nbytes-8:
            file.seek(4)
            data = np.fromfile(file, dtype='float32')
            return data[:-1]
        else:
            file.seek(0)
            data = np.fromfile(file, dtype='float32')
            return data 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import getsize [as 別名]
def _scan_dynamodb_and_upload_to_s3(self, temp_file, scan_kwargs, table):
        while True:
            response = table.scan(**scan_kwargs)
            items = response['Items']
            for item in items:
                temp_file.write(self.process_func(item))

            if 'LastEvaluatedKey' not in response:
                # no more items to scan
                break

            last_evaluated_key = response['LastEvaluatedKey']
            scan_kwargs['ExclusiveStartKey'] = last_evaluated_key

            # Upload the file to S3 if reach file size limit
            if getsize(temp_file.name) >= self.file_size:
                _upload_file_to_s3(temp_file, self.s3_bucket_name,
                                   self.s3_key_prefix)
                temp_file.close()
                temp_file = NamedTemporaryFile()
        return temp_file 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import getsize [as 別名]
def test_write_gff_file(self, seqprop_with_i, tmpdir):
        """Test writing the features, and that features are now loaded from a file"""
        outpath = tmpdir.join('test_seqprop_with_i_write_gff_file.gff').strpath
        seqprop_with_i.write_gff_file(outfile=outpath, force_rerun=True)

        # Test that the file was written
        assert op.exists(outpath)
        assert op.getsize(outpath) > 0

        # Test that file paths are correct
        assert seqprop_with_i.feature_path == outpath
        assert seqprop_with_i.feature_file == 'test_seqprop_with_i_write_gff_file.gff'
        assert seqprop_with_i.feature_dir == tmpdir

        # Test that features cannot be changed
        with pytest.raises(ValueError):
            seqprop_with_i.features = ['NOFEATURES'] 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import getsize [as 別名]
def traverse_dir(path):
    file_dict = {}
    dir_dict = {}
    count = 1
    for root, dirs, files in walk(path):
        for d in dirs:
            abs_p = join(root, d)
            dir_dict[abs_p] = 0
            print(abs_p)
            count += 1
            if count % 200 == 0:
                print('%s files scanned' % count)

        for f in files:
            abs_p = join(root, f)
            file_dict[abs_p] = getsize(abs_p)
            print(abs_p)
            count += 1
            if count % 200 == 0:
                print('%s files scanned' % count)

    return file_dict, dir_dict 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import getsize [as 別名]
def get_sha1_by_slice(file_name, slice_size):
        """ Get SHA array based on Qcloud Slice Upload Interface

        :param file_name: local file path
        :param slice_size: slice size in bit
        :return: sha array like [{“offset”:0, “datalen”:1024,”datasha”:”aaa”}, {}, {}]
        """
        from os import path

        with open(file_name, 'rb') as f:

            result = []
            file_size = path.getsize(file_name)
            sha1_obj = Sha1Hash()
            for current_offset in range(0, file_size, slice_size):

                data_length = min(slice_size, file_size - current_offset)
                sha1_obj.update(f.read(data_length))
                sha1_val = sha1_obj.inner_digest()
                result.append({"offset": current_offset, "datalen": data_length, "datasha": sha1_val})

            result[-1]['datasha'] = sha1_obj.hexdigest()
            return result 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import getsize [as 別名]
def _close(self, file):
        f = self.handles[file]
        del self.handles[file]
        if self.whandles.has_key(file):
            del self.whandles[file]
            f.flush()
            self.unlock_file(file, f)
            f.close()
            if os.path.isfile(file):
                self.tops[file] = getsize(file)
                self.mtimes[file] = getmtime(file)
            else:
                if DEBUG:
                    log(self.log_prefix + '_close: missing file', file)
                self.tops[file] = 0
                self.mtimes[file] = 0
        else:
            if self.lock_while_reading:
                self.unlock_file(file, f)
            f.close() 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import getsize [as 別名]
def enable_file(self, f):
        if self.config['encrypted_storage']:
            return
        if not self.disabled[f]:
            return
        self.disabled[f] = False
        r = self.file_ranges[f]
        if not r:
            return
        file = r[3]
        if not exists(file):
            h = open(file, 'wb+')
            h.flush()
            h.close()
        if not self.tops.has_key(file):
            self.tops[file] = getsize(file)
        if not self.mtimes.has_key(file):
            self.mtimes[file] = getmtime(file)
        self.working_ranges[f] = [r]
        if DEBUG:
            log(self.log_prefix + 'enable_file: f:', f, 'self.working_ranges:', self.working_ranges) 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import getsize [as 別名]
def disable_file(self, f):
        if self.config['encrypted_storage']:
            return
        if self.disabled[f]:
            return
        self.disabled[f] = True
        r = self._get_disabled_ranges(f)
        if not r:
            return
        for file, begin, end in r[2]:
            if not os.path.isdir(self.bufferdir):
                os.makedirs(self.bufferdir)
            if not exists(file):
                h = open(file, 'wb+')
                h.flush()
                h.close()
            if not self.tops.has_key(file):
                self.tops[file] = getsize(file)
            if not self.mtimes.has_key(file):
                self.mtimes[file] = getmtime(file)

        self.working_ranges[f] = r[0] 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import getsize [as 別名]
def pickle(self):
        files = []
        pfiles = []
        for i in xrange(len(self.files)):
            if not self.files[i][1]:
                continue
            if self.disabled[i]:
                for file, start, end in self._get_disabled_ranges(i)[2]:
                    pfiles.extend([basename(file), getsize(file), getmtime(file)])

                continue
            file = self.files[i][0].encode('utf-8')
            files.extend([i, getsize(file), getmtime(file)])

        return {'files': files,
         'partial files': pfiles} 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import getsize [as 別名]
def rinexobs(obsfn,writeh5=None,maxtimes=None):
    stem,ext = splitext(expanduser(obsfn))
    if ext[-1].lower() == 'o': #raw text file
        with open(obsfn,'r') as f:
            t=time.time()
            lines = f.read().splitlines(True)
            lines.append('')
            header,version,headlines,obstimes,sats,svset = scan(lines)
            print('{} is a RINEX {} file, {} kB.'.format(obsfn,version,getsize(obsfn)/1000.0))
            data = processBlocks(lines,header,obstimes,svset,headlines,sats)
            print("finished in {0:.2f} seconds".format(time.time()-t))
    #%% save to disk (optional)
        if writeh5:
            h5fn = stem + '.h5'
            print('saving OBS data to {}'.format(h5fn))
            data.to_hdf(h5fn,key='OBS',mode='a',complevel=6,append=False)
    elif ext.lower() == '.h5':
        data = read_hdf(obsfn,key='OBS')
        print('loaded OBS data from {} to {}'.format(blocks.items[0],blocks.items[-1]))
    return data


# this will scan the document for the header info and for the line on
# which each block starts 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import getsize [as 別名]
def __init__(self,addr=0,size=None,file=None,process=True):
        self.init()
        if not size:
            size = ospath_getsize(file)
        self.file_size = size
        self.file = file
        self.addr = addr
        self.size = size
        self.type = 'TGA'
        self.pallete = None
        self.Read_header()
        self.flipped = False
        if self.header['ImageDescriptor'] & 32:
            self.flipped = True
        self.alpha_bits = self.header['ImageDescriptor'] & 15
        self.Get_image_dimensions()
        self.size_of_plane = self.width * self.height
        self.sourceBpp = self.header['BitsPerPixel']/8
        self.data_size = self.width * self.height * self.sourceBpp
        self.Bps = self.width * self.sourceBpp
        self.Bpp = 4
        self.final_size = self.size_of_plane * self.Bpp
        self.RGBA = None
        if not process: return
        self.Process()