Python utils.native方法代碼示例

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import native [as 別名]
def __init__(self, segy_file, like=None):
        """
        Parameters
        ----------
        segy_file : str
            segy file path
        like : str, optional
            created segy file has the same dimesions as like.
        """
        self.segy_file = segy_file
        self.inDepth = False # True if dataset Z is in Depth
        self.property_type = None

        if like is not None:
            if Path(native(like)).exists() and not Path(native(self.segy_file)).exists():
                copyfile(src=like, dst=self.segy_file)

        if Path(native(self.segy_file)).exists():
            self._parse_segy()
        else:
            raise Exception("File does not exist!") 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import native [as 別名]
def from_json(cls, json_file, segy_file=None):
        """
        Initialize SeiSEGY from an json file containing information

        Parameters
        ----------
        json_file : str
            json file path
        segy_file : str
            segy file path for overriding information in json file.
        """
        with open(json_file, 'r') as fl:
            json_object = json.load(fl)
            segy = json_object["path"]
            inDepth = json_object["inDepth"]
            property_type = json_object["Property_Type"]

        if segy_file:
            segy = segy_file
        instance = cls(native(segy))
        instance.inDepth = inDepth
        instance.property_type = property_type

        return instance 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import native [as 別名]
def __init__(self, survey_dir):
        """
        Parameters
        ----------
        survey_dir : str
            survey directory.
        """
        self.survey_dir = Path(native(survey_dir))
        self.setting_json = None
        self._check_dir()
        super(Survey, self).__init__(ThreePoints(self.setting_json))
        self.wells = dict()
        self.seismics = dict()
        self.inl_crl = dict()
        self.horizons = dict()
        self._add_seis_wells()
        self._add_seismic()
        self._add_horizon() 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import native [as 別名]
def store_images(self, callback_data, batch_ind, imgs_to_store, img_batch_data, C, H, W):
        """
        Store images
        """
        n_imgs = len(imgs_to_store)
        if n_imgs:
            img_data = img_batch_data[:, imgs_to_store].get()
            img_store = callback_data.create_group('deconv/img/batch_' + str(batch_ind))

            # Store uint8 HWC formatted data for plotting
            img_hwc8 = img_store.create_dataset("HWC_uint8", (H, W, C, n_imgs),
                                                dtype='uint8', compression=True)
            img_hwc_f32 = np.transpose(img_data.reshape((C, H, W, n_imgs)), (1, 2, 0, 3))
            img_hwc8[:] = self.scale_to_rgb(img_hwc_f32)

            # keep image in native format to use for fprop in visualization
            # don't need this beyond runtime so avoid writing to file
            self.raw_img_cache[batch_ind] = img_data

            # Keep a lookup from img_ind -> file position
            # In order to store only needed imgs from batch in flat prealloc array
            self.raw_img_key[batch_ind] = dict()
            for i, img_idx in enumerate(imgs_to_store):
                img_store.attrs[str(img_idx)] = i
                self.raw_img_key[batch_ind][img_idx] = i 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import native [as 別名]
def infer_shape(self, node, input_shapes):
        """Return a list of output shapes based on ``input_shapes``.

        This method is optional. It allows to compute the shape of the
        output without having to evaluate.

        Parameters
        ----------
        node : `theano.gof.graph.Apply`
            The node of this Op in the computation graph.
        input_shapes : 1-element list of `theano.compile.ops.Shape`
            Symbolic shape of the input.

        Returns
        -------
        output_shapes : 1-element list of tuples
            Fixed shape of the output determined by `odl_op`.
        """
        if isinstance(self.operator, Functional):
            return [()]
        else:
            # Need to convert to native to avoid error in Theano from
            # future.int
            return [tuple(native(si) for si in self.operator.range.shape)] 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import native [as 別名]
def from_bytes(cls, mybytes, byteorder='big', signed=False):
        """
        Return the integer represented by the given array of bytes.

        The mybytes argument must either support the buffer protocol or be an
        iterable object producing bytes.  Bytes and bytearray are examples of
        built-in objects that support the buffer protocol.

        The byteorder argument determines the byte order used to represent the
        integer.  If byteorder is 'big', the most significant byte is at the
        beginning of the byte array.  If byteorder is 'little', the most
        significant byte is at the end of the byte array.  To request the native
        byte order of the host system, use `sys.byteorder' as the byte order value.

        The signed keyword-only argument indicates whether two's complement is
        used to represent the integer.
        """
        if byteorder not in ('little', 'big'):
            raise ValueError("byteorder must be either 'little' or 'big'")
        if isinstance(mybytes, unicode):
            raise TypeError("cannot convert unicode objects to bytes")
        # mybytes can also be passed as a sequence of integers on Py3.
        # Test for this:
        elif isinstance(mybytes, collections.Iterable):
            mybytes = newbytes(mybytes)
        b = mybytes if byteorder == 'big' else mybytes[::-1]
        if len(b) == 0:
            b = b'\x00'
        # The encode() method has been disabled by newbytes, but Py2's
        # str has it:
        num = int(native(b).encode('hex'), 16)
        if signed and (b[0] & 0x80):
            num = num - (2 ** (len(b)*8))
        return cls(num)


# def _twos_comp(val, bits):
#     """compute the 2's compliment of int value val"""
#     if( (val&(1<<(bits-1))) != 0 ):
#         val = val - (1<<bits)
#     return val 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import native [as 別名]
def from_bytes(cls, mybytes, byteorder='big', signed=False):
        """
        Return the integer represented by the given array of bytes.

        The mybytes argument must either support the buffer protocol or be an
        iterable object producing bytes.  Bytes and bytearray are examples of
        built-in objects that support the buffer protocol.

        The byteorder argument determines the byte order used to represent the
        integer.  If byteorder is 'big', the most significant byte is at the
        beginning of the byte array.  If byteorder is 'little', the most
        significant byte is at the end of the byte array.  To request the native
        byte order of the host system, use `sys.byteorder' as the byte order value.

        The signed keyword-only argument indicates whether two's complement is
        used to represent the integer.
        """
        if byteorder not in ('little', 'big'):
            raise ValueError("byteorder must be either 'little' or 'big'")
        if isinstance(mybytes, unicode):
            raise TypeError("cannot convert unicode objects to bytes")
        # mybytes can also be passed as a sequence of integers on Py3.
        # Test for this:
        elif isinstance(mybytes, Iterable):
            mybytes = newbytes(mybytes)
        b = mybytes if byteorder == 'big' else mybytes[::-1]
        if len(b) == 0:
            b = b'\x00'
        # The encode() method has been disabled by newbytes, but Py2's
        # str has it:
        num = int(native(b).encode('hex'), 16)
        if signed and (b[0] & 0x80):
            num = num - (2 ** (len(b)*8))
        return cls(num)


# def _twos_comp(val, bits):
#     """compute the 2's compliment of int value val"""
#     if( (val&(1<<(bits-1))) != 0 ):
#         val = val - (1<<bits)
#     return val 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import native [as 別名]
def _check_dir(self):
        survey_file = self.survey_dir / '.survey'
        if survey_file.exists():
            self.setting_json = native(str(survey_file))
        else:
            raise Exception("No survey setting file in folder!") 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import native [as 別名]
def _add_seismic(self):
        seis_dir = self.survey_dir / "Seismics"
        for seis_name in get_data_files(seis_dir):
            info_file = str(self.survey_dir.absolute() / \
                "Seismics" / "{}.seis".format(seis_name))
            data_path = None
            with open(info_file, "r") as fl:
                data_path = Path(native(json.load(fl)["path"]))
            if not data_path.is_absolute() and \
                    data_path.name == str(data_path):
                data_path = self.survey_dir.absolute() / "Seismics" / data_path
            self.seismics[seis_name] = SeiSEGY.from_json(info_file,
                                                         str(data_path)) 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import native [as 別名]
def read_las(self):
        if Path(native(self.las_file)).exists():
            las = LASReader(native(str(Path(self.las_file))), null_subs=np.nan)
            # well_name = las.well.items['WELL'].data
            df = pd.DataFrame(
                las.data2d,
                columns=["{}({})".format(
                    las.curves.items[name].descr.replace(' ', '_'),
                    las.curves.items[name].units) \
                    for name in las.curves.names])
            if 'Depth(M)' in df.columns.values.tolist():
                df.rename(columns={'Depth(M)': 'Depth(m)'}, inplace=True)
            self._data_frame = df 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import native [as 別名]
def _encrypt(self, data, iv):
        encrypter = pyaes.Encrypter(
                pyaes.AESModeOfOperationCBC(self._hash.hash, iv=native(iv)))
        enc_data = encrypter.feed(self.MAGIC_DETECT_ENC + data)
        enc_data += encrypter.feed()

        return enc_data 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import native [as 別名]
def _decrypt(self, data, iv):
        decrypter = pyaes.Decrypter(
                pyaes.AESModeOfOperationCBC(self._hash.hash, iv=native(iv)))
        try:
            dec_data = decrypter.feed(data)
            dec_data += decrypter.feed()
        except ValueError:
            # in most "wrong password" cases the pkcs7 padding will be wrong
            raise StoragePasswordError("Wrong password.")

        if not dec_data.startswith(self.MAGIC_DETECT_ENC):
            raise StoragePasswordError("Wrong password.")
        return dec_data[len(self.MAGIC_DETECT_ENC):] 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import native [as 別名]
def load_callbacks(cls, cdict, model, data=[]):
        """
        Load callbacks.
        """
        if type(native(cdict)) is str:
            cdict = load_obj(cdict)
        callbacks = cls(model, output_file=cdict['output_file'])
        callbacks.epoch_marker = cdict['epoch_marker']
        callbacks.callbacks = []
        for cb in cdict['callbacks']:
            module = load_class(cb['type'])
            callbacks.callbacks.append(module(**cb['config']))
        return callbacks 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import native [as 別名]
def _norm_default(x):
    """Default Euclidean norm implementation."""
    # Lazy import to improve `import odl` time
    import scipy.linalg

    if _blas_is_applicable(x.data):
        nrm2 = scipy.linalg.blas.get_blas_funcs('nrm2', dtype=x.dtype)
        norm = partial(nrm2, n=native(x.size))
    else:
        norm = np.linalg.norm
    return norm(x.data.ravel()) 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import native [as 別名]
def to_bytes(self, length, byteorder='big', signed=False):
        """
        Return an array of bytes representing an integer.

        The integer is represented using length bytes.  An OverflowError is
        raised if the integer is not representable with the given number of
        bytes.

        The byteorder argument determines the byte order used to represent the
        integer.  If byteorder is 'big', the most significant byte is at the
        beginning of the byte array.  If byteorder is 'little', the most
        significant byte is at the end of the byte array.  To request the native
        byte order of the host system, use `sys.byteorder' as the byte order value.

        The signed keyword-only argument determines whether two's complement is
        used to represent the integer.  If signed is False and a negative integer
        is given, an OverflowError is raised.
        """
        if length < 0:
            raise ValueError("length argument must be non-negative")
        if length == 0 and self == 0:
            return newbytes()
        if signed and self < 0:
            bits = length * 8
            num = (2**bits) + self
            if num <= 0:
                raise OverflowError("int too smal to convert")
        else:
            if self < 0:
                raise OverflowError("can't convert negative int to unsigned")
            num = self
        if byteorder not in ('little', 'big'):
            raise ValueError("byteorder must be either 'little' or 'big'")
        h = b'%x' % num
        s = newbytes((b'0'*(len(h) % 2) + h).zfill(length*2).decode('hex'))
        if signed:
            high_set = s[0] & 0x80
            if self > 0 and high_set:
                raise OverflowError("int too big to convert")
            if self < 0 and not high_set:
                raise OverflowError("int too small to convert")
        if len(s) > length:
            raise OverflowError("int too big to convert")
        return s if byteorder == 'big' else s[::-1]