Python event.Magnitude类代码示例

def __toMagnitude(parser, magnitude_el, origin):
    """
    Parses a given magnitude etree element.

    :type parser: :class:`~obspy.core.util.xmlwrapper.XMLParser`
    :param parser: Open XMLParser object.
    :type magnitude_el: etree.element
    :param magnitude_el: magnitude element to be parsed.
    :return: A ObsPy :class:`~obspy.core.event.Magnitude` object.
    """
    global CURRENT_TYPE
    mag = Magnitude()
    mag.resource_id = ResourceIdentifier(prefix="/".join([RESOURCE_ROOT, "magnitude"]))
    mag.origin_id = origin.resource_id
    mag.mag, mag.mag_errors = __toFloatQuantity(parser, magnitude_el, "mag")
    # obspyck used to write variance (instead of std) in magnitude error fields
    if CURRENT_TYPE == "obspyck":
        if mag.mag_errors.uncertainty is not None:
            mag.mag_errors.uncertainty = math.sqrt(mag.mag_errors.uncertainty)
    mag.magnitude_type = parser.xpath2obj("type", magnitude_el)
    mag.station_count = parser.xpath2obj("stationCount", magnitude_el, int)
    mag.method_id = "%s/magnitude_method/%s/1" % (RESOURCE_ROOT,
        parser.xpath2obj('program', magnitude_el))
    if str(mag.method_id).lower().endswith("none"):
        mag.method_id = None

    return mag

def __toMagnitude(parser, magnitude_el):
    """
    Parses a given magnitude etree element.

    :type parser: :class:`~obspy.core.util.xmlwrapper.XMLParser`
    :param parser: Open XMLParser object.
    :type magnitude_el: etree.element
    :param magnitude_el: magnitude element to be parsed.
    :return: A ObsPy :class:`~obspy.core.event.Magnitude` object.
    """
    mag = Magnitude()
    mag.mag, mag.mag_errors = __toFloatQuantity(parser, magnitude_el, "mag")
    mag.magnitude_type = parser.xpath2obj("type", magnitude_el)
    mag.station_count = parser.xpath2obj("stationCount", magnitude_el, int)
    mag.method_id = parser.xpath2obj("program", magnitude_el)

    return mag

    def _map_origin2magnitude(self, db, mtype='ml'):
        """
        Return an obspy Magnitude from an dict of CSS key/values
        corresponding to one record.
        
        Inputs
        ======
        db : dict of key/values of CSS fields from the 'origin' table

        Returns
        =======
        obspy.core.event.Magnitude

        Notes
        =====
        Any object that supports the dict 'get' method can be passed as
        input, e.g. OrderedDict, custom classes, etc.
        """
        m = Magnitude()
        m.mag = db.get(mtype)
        m.magnitude_type = mtype 
        m.creation_info = CreationInfo(
            creation_time = _utc(db.get('lddate')), 
            agency_id = self.agency,
            version = db.get('orid'),
        	author = db.get('auth'),
            )
        if m.creation_info.author.startswith('orb'):
            m.evaluation_status = "preliminary"
        else:
            m.evaluation_status = "reviewed"
        m.resource_id = self._rid(m)
        return m

def event_to_quakeml(event, filename):
    """
    Write one of those events to QuakeML.
    """
    # Create all objects.
    cat = Catalog()
    ev = Event()
    org = Origin()
    mag = Magnitude()
    fm = FocalMechanism()
    mt = MomentTensor()
    t = Tensor()
    # Link them together.
    cat.append(ev)
    ev.origins.append(org)
    ev.magnitudes.append(mag)
    ev.focal_mechanisms.append(fm)
    fm.moment_tensor = mt
    mt.tensor = t

    # Fill values
    ev.resource_id = "smi:inversion/%s" % str(event["identifier"])
    org.time = event["time"]
    org.longitude = event["longitude"]
    org.latitude = event["latitude"]
    org.depth = event["depth_in_km"] * 1000

    mag.mag = event["Mw"]
    mag.magnitude_type = "Mw"

    t.m_rr = event["Mrr"]
    t.m_tt = event["Mpp"]
    t.m_pp = event["Mtt"]
    t.m_rt = event["Mrt"]
    t.m_rp = event["Mrp"]
    t.m_tp = event["Mtp"]

    cat.write(filename, format="quakeml")

    def _map_netmag2magnitude(self, db):
        """
        Return an obspy Magnitude from an dict of CSS key/values
        corresponding to one record.
        
        Inputs
        ======
        db : dict of key/values of CSS fields from the 'netmag' table

        Returns
        =======
        obspy.core.event.Magnitude

        Notes
        =====
        Any object that supports the dict 'get' method can be passed as
        input, e.g. OrderedDict, custom classes, etc.
        """
        m = Magnitude()
        m.mag = db.get('magnitude')
        m.magnitude_type = db.get('magtype')
        m.mag_errors.uncertainty = db.get('uncertainty')
        m.station_count = db.get('nsta')
        
        posted_author = _str(db.get('auth'))
        mode, status = self.get_event_status(posted_author)
        m.evaluation_mode = mode
        m.evaluation_status = status
        
        m.creation_info = CreationInfo(
            creation_time = _utc(db.get('lddate')),
            agency_id = self.agency,
            version = db.get('magid'),
            author = posted_author,
            )
        m.resource_id = self._rid(m)
        return m

    def _on_file_save(self):
        """
        Creates a new obspy.core.event.Magnitude object and writes the moment
        magnitude to it.
        """
        # Get the save filename.
        filename = QtGui.QFileDialog.getSaveFileName(caption="Save as...")
        filename = os.path.abspath(str(filename))
        mag = Magnitude()
        mag.mag = self.final_result["moment_magnitude"]
        mag.magnitude_type = "Mw"
        mag.station_count = self.final_result["station_count"]
        mag.evaluation_mode = "manual"
        # Link to the used origin.
        mag.origin_id = self.current_state["event"].origins[0].resource_id
        mag.method_id = "Magnitude picker Krischer"
        # XXX: Potentially change once this program gets more stable.
        mag.evaluation_status = "preliminary"
        # Write the other results as Comments.
        mag.comments.append( \
            Comment("Seismic moment in Nm: %g" % \
            self.final_result["seismic_moment"]))
        mag.comments.append( \
            Comment("Circular source radius in m: %.2f" % \
            self.final_result["source_radius"]))
        mag.comments.append( \
            Comment("Stress drop in Pa: %.2f" % \
            self.final_result["stress_drop"]))
        mag.comments.append( \
                Comment("Very rough Q estimation: %.1f" % \
            self.final_result["quality_factor"]))

        event = copy.deepcopy(self.current_state["event"])
        event.magnitudes.append(mag)
        cat = Catalog()
        cat.events.append(event)
        cat.write(filename, format="quakeml")

#.........这里部分代码省略.........
        )
        ref_origin.comments[0].resource_id = _get_resource_id(
            record["cmt_event_name"], "comment", tag="ref_origin")
        ref_origin.resource_id = _get_resource_id(record["cmt_event_name"],
                                                  "origin", tag="reforigin")

        cmt_origin = Origin(
            force_resource_id=False,
            longitude=record["centroid_longitude"],
            longitude_errors={
                "uncertainty": record["centroid_longitude_error"]},
            latitude=record["centroid_latitude"],
            latitude_errors={
                "uncertainty": record["centroid_latitude_error"]},
            # Convert to m.
            depth=record["centroid_depth_in_km"] * 1000.0,
            depth_errors={
                "uncertainty": record["centroid_depth_in_km_error"] * 1000},
            time=ref_origin["time"] + record["centroid_time"],
            time_errors={"uncertainty": record["centroid_time_error"]},
            depth_type=record["type_of_centroid_depth"],
            origin_type="centroid",
            time_fixed=False,
            epicenter_fixed=False,
            creation_info=creation_info.copy()
        )
        cmt_origin.resource_id = _get_resource_id(record["cmt_event_name"],
                                                  "origin",
                                                  tag="cmtorigin")
        event.origins = [ref_origin, cmt_origin]
        event.preferred_origin_id = cmt_origin.resource_id.id

        # Create the magnitude object.
        mag = Magnitude(
            force_resource_id=False,
            mag=round(record["Mw"], 2),
            magnitude_type="Mwc",
            origin_id=cmt_origin.resource_id,
            creation_info=creation_info.copy()
        )
        mag.resource_id = _get_resource_id(record["cmt_event_name"],
                                           "magnitude", tag="moment_mag")
        event.magnitudes = [mag]
        event.preferred_magnitude_id = mag.resource_id.id

        # Add the reported mb, MS magnitudes as additional magnitude objects.
        event.magnitudes.append(Magnitude(
            force_resource_id=False,
            mag=record["mb"],
            magnitude_type="mb",
            comments=[Comment(
                force_resource_id=False,
                text="Reported magnitude in NDK file. Most likely 'mb'."
            )]
        ))
        event.magnitudes[-1].comments[-1].resource_id = _get_resource_id(
            record["cmt_event_name"], "comment", tag="mb_magnitude")
        event.magnitudes[-1].resource_id = _get_resource_id(
            record["cmt_event_name"], "magnitude", tag="mb")

        event.magnitudes.append(Magnitude(
            force_resource_id=False,
            mag=record["MS"],
            magnitude_type="MS",
            comments=[Comment(
                force_resource_id=False,

def __read_single_fnetmt_entry(line, **kwargs):
    """
    Reads a single F-net moment tensor solution to a
    :class:`~obspy.core.event.Event` object.

    :param line: String containing moment tensor information.
    :type line: str.
    """

    a = line.split()
    try:
        ot = UTCDateTime().strptime(a[0], '%Y/%m/%d,%H:%M:%S.%f')
    except ValueError:
        ot = UTCDateTime().strptime(a[0], '%Y/%m/%d,%H:%M:%S')
    lat, lon, depjma, magjma = map(float, a[1:5])
    depjma *= 1000
    region = a[5]
    strike = tuple(map(int, a[6].split(';')))
    dip = tuple(map(int, a[7].split(';')))
    rake = tuple(map(int, a[8].split(';')))
    mo = float(a[9])
    depmt = float(a[10]) * 1000
    magmt = float(a[11])
    var_red = float(a[12])
    mxx, mxy, mxz, myy, myz, mzz, unit = map(float, a[13:20])

    event_name = util.gen_sc3_id(ot)
    e = Event(event_type="earthquake")
    e.resource_id = _get_resource_id(event_name, 'event')

    # Standard JMA solution
    o_jma = Origin(time=ot, latitude=lat, longitude=lon,
                   depth=depjma, depth_type="from location",
                   region=region)
    o_jma.resource_id = _get_resource_id(event_name,
                                         'origin', 'JMA')
    m_jma = Magnitude(mag=magjma, magnitude_type='ML',
                      origin_id=o_jma.resource_id)
    m_jma.resource_id = _get_resource_id(event_name,
                                         'magnitude', 'JMA')
    # MT solution
    o_mt = Origin(time=ot, latitude=lat, longitude=lon,
                  depth=depmt, region=region,
                  depth_type="from moment tensor inversion")
    o_mt.resource_id = _get_resource_id(event_name,
                                        'origin', 'MT')
    m_mt = Magnitude(mag=magmt, magnitude_type='Mw',
                     origin_id=o_mt.resource_id)
    m_mt.resource_id = _get_resource_id(event_name,
                                        'magnitude', 'MT')
    foc_mec = FocalMechanism(triggering_origin_id=o_jma.resource_id)
    foc_mec.resource_id = _get_resource_id(event_name,
                                           "focal_mechanism")
    nod1 = NodalPlane(strike=strike[0], dip=dip[0], rake=rake[0])
    nod2 = NodalPlane(strike=strike[1], dip=dip[1], rake=rake[1])
    nod = NodalPlanes(nodal_plane_1=nod1, nodal_plane_2=nod2)
    foc_mec.nodal_planes = nod

    tensor = Tensor(m_rr=mxx, m_tt=myy, m_pp=mzz, m_rt=mxy, m_rp=mxz, m_tp=myz)
    cm = Comment(text="Basis system: North,East,Down (Jost and \
    Herrmann 1989")
    cm.resource_id = _get_resource_id(event_name, 'comment', 'mt')
    mt = MomentTensor(derived_origin_id=o_mt.resource_id,
                      moment_magnitude_id=m_mt.resource_id,
                      scalar_moment=mo, comments=[cm],
                      tensor=tensor, variance_reduction=var_red)
    mt.resource_id = _get_resource_id(event_name,
                                      'moment_tensor')
    foc_mec.moment_tensor = mt
    e.origins = [o_jma, o_mt]
    e.magnitudes = [m_jma, m_mt]
    e.focal_mechanisms = [foc_mec]
    e.preferred_magnitude_id = m_mt.resource_id.id
    e.preferred_origin_id = o_mt.resource_id.id
    e.preferred_focal_mechanism_id = foc_mec.resource_id.id
    return e

    def _parse_first_line_origin(self, line, event, magnitudes):
        """
        Parse the first line of origin data.

        :type line: str
        :param line: Line to parse.
        :type event: :class:`~obspy.core.event.event.Event`
        :param event: Event of the origin.
        :type magnitudes: list of
            :class:`~obspy.core.event.magnitude.Magnitude`
        :param magnitudes: Store magnitudes in a list to keep
            their positions.
        :rtype: :class:`~obspy.core.event.origin.Origin`,
            :class:`~obspy.core.event.resourceid.ResourceIdentifier`
        :returns: Parsed origin or None, resource identifier of the
            origin.
        """
        magnitude_types = []
        magnitude_values = []
        magnitude_station_counts = []

        fields = self.fields['line_1']

        time_origin = line[fields['time']].strip()
        time_fixed_flag = line[fields['time_fixf']].strip()
        latitude = line[fields['lat']].strip()
        longitude = line[fields['lon']].strip()
        epicenter_fixed_flag = line[fields['epicenter_fixf']].strip()
        depth = line[fields['depth']].strip()
        depth_fixed_flag = line[fields['depth_fixf']].strip()
        phase_count = line[fields['n_def']].strip()
        station_count = line[fields['n_sta']].strip()
        azimuthal_gap = line[fields['gap']].strip()
        magnitude_types.append(line[fields['mag_type_1']].strip())
        magnitude_values.append(line[fields['mag_1']].strip())
        magnitude_station_counts.append(line[fields['mag_n_sta_1']].strip())
        magnitude_types.append(line[fields['mag_type_2']].strip())
        magnitude_values.append(line[fields['mag_2']].strip())
        magnitude_station_counts.append(line[fields['mag_n_sta_2']].strip())
        magnitude_types.append(line[fields['mag_type_3']].strip())
        magnitude_values.append(line[fields['mag_3']].strip())
        magnitude_station_counts.append(line[fields['mag_n_sta_3']].strip())
        author = line[fields['author']].strip()
        origin_id = line[fields['id']].strip()

        origin = Origin()
        origin.quality = OriginQuality()

        try:
            origin.time = UTCDateTime(time_origin.replace('/', '-'))
            origin.latitude = float(latitude)
            origin.longitude = float(longitude)
        except (TypeError, ValueError):
            self._warn('Missing origin data, skipping event')
            return None, None

        origin.time_fixed = time_fixed_flag.lower() == 'f'
        origin.epicenter_fixed = epicenter_fixed_flag.lower() == 'f'

        try:
            # Convert value from km to m
            origin.depth = float(depth) * 1000
        except ValueError:
            pass
        try:
            origin.depth_type = DEPTH_TYPES[depth_fixed_flag]
        except KeyError:
            origin.depth_type = OriginDepthType('from location')
        try:
            origin.quality.used_phase_count = int(phase_count)
            origin.quality.associated_phase_count = int(phase_count)
        except ValueError:
            pass
        try:
            origin.quality.used_station_count = int(station_count)
            origin.quality.associated_station_count = int(station_count)
        except ValueError:
            pass
        try:
            origin.quality.azimuthal_gap = float(azimuthal_gap)
        except ValueError:
            pass

        self.author = author
        origin.creation_info = self._get_creation_info()

        public_id = "origin/%s" % origin_id
        origin_res_id = self._get_res_id(public_id)

        for i in range(3):
            try:
                magnitude = Magnitude()
                magnitude.creation_info = self._get_creation_info()
                magnitude.magnitude_type = magnitude_types[i]
                magnitude.mag = float(magnitude_values[i])
                magnitude.station_count = int(magnitude_station_counts[i])
                magnitude.origin_id = origin_res_id
                magnitudes.append(magnitude)
                event.magnitudes.append(magnitude)
            except ValueError:
#.........这里部分代码省略.........

    def _parse_record_ae(self, line, event):
        """
        Parses the 'additional hypocenter error and magnitude record' AE
        """
        orig_time_stderr = self._float_unused(line[2:7])
        latitude_stderr = self._float_unused(line[8:14])
        longitude_stderr = self._float_unused(line[15:21])
        depth_stderr = self._float_unused(line[22:27])
        gap = self._float_unused(line[28:33])
        mag1 = self._float(line[33:36])
        mag1_type = line[36:38]
        mag2 = self._float(line[43:46])
        mag2_type = line[46:48]

        evid = event.resource_id.id.split('/')[-1]
        # this record is to be associated to the latest origin
        origin = event.origins[-1]
        self._store_uncertainty(origin.time_errors, orig_time_stderr)
        self._store_uncertainty(origin.latitude_errors,
                                self._lat_err_to_deg(latitude_stderr))
        self._store_uncertainty(origin.longitude_errors,
                                self._lon_err_to_deg(longitude_stderr,
                                                     origin.latitude))
        self._store_uncertainty(origin.depth_errors, depth_stderr, scale=1000)
        origin.quality.azimuthal_gap = gap
        if mag1 > 0:
            mag = Magnitude()
            mag1_id = mag1_type.lower()
            res_id = '/'.join((res_id_prefix, 'magnitude', evid, mag1_id))
            mag.resource_id = ResourceIdentifier(id=res_id)
            mag.creation_info = CreationInfo(
                agency_id=origin.creation_info.agency_id)
            mag.mag = mag1
            mag.magnitude_type = mag1_type
            mag.origin_id = origin.resource_id
            event.magnitudes.append(mag)
        if mag2 > 0:
            mag = Magnitude()
            mag2_id = mag2_type.lower()
            if mag2_id == mag1_id:
                mag2_id += '2'
            res_id = '/'.join((res_id_prefix, 'magnitude', evid, mag2_id))
            mag.resource_id = ResourceIdentifier(id=res_id)
            mag.creation_info = CreationInfo(
                agency_id=origin.creation_info.agency_id)
            mag.mag = mag2
            mag.magnitude_type = mag2_type
            mag.origin_id = origin.resource_id
            event.magnitudes.append(mag)

def par2quakeml(Par_filename, QuakeML_filename, rotation_axis=[0.0, 1.0, 0.0],
                rotation_angle=-57.5, origin_time="2000-01-01 00:00:00.0",
                event_type="other event"):
    # initialise event
    ev = Event()

    # open and read Par file
    fid = open(Par_filename, 'r')

    fid.readline()
    fid.readline()
    fid.readline()
    fid.readline()

    lat_old = 90.0 - float(fid.readline().strip().split()[0])
    lon_old = float(fid.readline().strip().split()[0])
    depth = float(fid.readline().strip().split()[0])

    fid.readline()

    Mtt_old = float(fid.readline().strip().split()[0])
    Mpp_old = float(fid.readline().strip().split()[0])
    Mrr_old = float(fid.readline().strip().split()[0])
    Mtp_old = float(fid.readline().strip().split()[0])
    Mtr_old = float(fid.readline().strip().split()[0])
    Mpr_old = float(fid.readline().strip().split()[0])

    # rotate event into physical domain

    lat, lon = rot.rotate_lat_lon(lat_old, lon_old, rotation_axis,
                                  rotation_angle)
    Mrr, Mtt, Mpp, Mtr, Mpr, Mtp = rot.rotate_moment_tensor(
        Mrr_old, Mtt_old, Mpp_old, Mtr_old, Mpr_old, Mtp_old, lat_old, lon_old,
        rotation_axis, rotation_angle)

    # populate event origin data
    ev.event_type = event_type

    ev_origin = Origin()
    ev_origin.time = UTCDateTime(origin_time)
    ev_origin.latitude = lat
    ev_origin.longitude = lon
    ev_origin.depth = depth
    ev.origins.append(ev_origin)

    # populte event moment tensor

    ev_tensor = Tensor()
    ev_tensor.m_rr = Mrr
    ev_tensor.m_tt = Mtt
    ev_tensor.m_pp = Mpp
    ev_tensor.m_rt = Mtr
    ev_tensor.m_rp = Mpr
    ev_tensor.m_tp = Mtp

    ev_momenttensor = MomentTensor()
    ev_momenttensor.tensor = ev_tensor
    ev_momenttensor.scalar_moment = np.sqrt(Mrr ** 2 + Mtt ** 2 + Mpp ** 2 +
                                            Mtr ** 2 + Mpr ** 2 + Mtp ** 2)

    ev_focalmechanism = FocalMechanism()
    ev_focalmechanism.moment_tensor = ev_momenttensor
    ev_focalmechanism.nodal_planes = NodalPlanes().setdefault(0, 0)

    ev.focal_mechanisms.append(ev_focalmechanism)

    # populate event magnitude
    ev_magnitude = Magnitude()
    ev_magnitude.mag = 0.667 * (np.log10(ev_momenttensor.scalar_moment) - 9.1)
    ev_magnitude.magnitude_type = 'Mw'
    ev.magnitudes.append(ev_magnitude)

    # write QuakeML file
    cat = Catalog()
    cat.append(ev)
    cat.write(QuakeML_filename, format="quakeml")

    # clean up
    fid.close()

    def build(self):
        """
        Build an obspy moment tensor focal mech event

        This makes the tensor output into an Event containing:
        1) a FocalMechanism with a MomentTensor, NodalPlanes, and PrincipalAxes
        2) a Magnitude of the Mw from the Tensor

        Which is what we want for outputting QuakeML using
        the (slightly modified) obspy code.

        Input
        -----
        filehandle => open file OR str from filehandle.read()

        Output
        ------
        event => instance of Event() class as described above
        """
        p = self.parser
        event         = Event(event_type='earthquake')
        origin        = Origin()
        focal_mech    = FocalMechanism()
        nodal_planes  = NodalPlanes()
        moment_tensor = MomentTensor()
        principal_ax  = PrincipalAxes()
        magnitude     = Magnitude()
        data_used     = DataUsed()
        creation_info = CreationInfo(agency_id='NN')
        ev_mode = 'automatic'
        ev_stat = 'preliminary'
        evid = None
        orid = None
        # Parse the entire file line by line.
        for n,l in enumerate(p.line):
            if 'REVIEWED BY NSL STAFF' in l:
                ev_mode = 'manual'
                ev_stat = 'reviewed'
            if 'Event ID' in l:
                evid = p._id(n)
            if 'Origin ID' in l:
                orid = p._id(n)
            if 'Ichinose' in l:
                moment_tensor.category = 'regional'
            if re.match(r'^\d{4}\/\d{2}\/\d{2}', l):
                ev = p._event_info(n)
            if 'Depth' in l:
                derived_depth = p._depth(n)
            if 'Mw' in l:
                magnitude.mag = p._mw(n) 
                magnitude.magnitude_type = 'Mw'
            if 'Mo' in l and 'dyne' in l:
                moment_tensor.scalar_moment = p._mo(n)
            if 'Percent Double Couple' in l:
                moment_tensor.double_couple = p._percent(n)
            if 'Percent CLVD' in l:
                moment_tensor.clvd = p._percent(n)
            if 'Epsilon' in l:
                moment_tensor.variance = p._epsilon(n)
            if 'Percent Variance Reduction' in l:
                moment_tensor.variance_reduction = p._percent(n)
            if 'Major Double Couple' in l and 'strike' in p.line[n+1]:
                np = p._double_couple(n)
                nodal_planes.nodal_plane_1 = NodalPlane(*np[0])
                nodal_planes.nodal_plane_2 = NodalPlane(*np[1])
                nodal_planes.preferred_plane = 1
            if 'Spherical Coordinates' in l:
                mt = p._mt_sphere(n)
                moment_tensor.tensor = Tensor(
                    m_rr = mt['Mrr'],
                    m_tt = mt['Mtt'],
                    m_pp = mt['Mff'],
                    m_rt = mt['Mrt'],
                    m_rp = mt['Mrf'],
                    m_tp = mt['Mtf'],
                    )
            if 'Eigenvalues and eigenvectors of the Major Double Couple' in l:
                ax = p._vectors(n)
                principal_ax.t_axis = Axis(ax['T']['trend'], ax['T']['plunge'], ax['T']['ev'])
                principal_ax.p_axis = Axis(ax['P']['trend'], ax['P']['plunge'], ax['P']['ev'])
                principal_ax.n_axis = Axis(ax['N']['trend'], ax['N']['plunge'], ax['N']['ev'])
            if 'Number of Stations' in l:
                data_used.station_count = p._number_of_stations(n)
            if 'Maximum' in l and 'Gap' in l:
                focal_mech.azimuthal_gap = p._gap(n)
            if re.match(r'^Date', l):
                creation_info.creation_time = p._creation_time(n)
        # Creation Time
        creation_info.version = orid
        # Fill in magnitude values
        magnitude.evaluation_mode = ev_mode
        magnitude.evaluation_status = ev_stat
        magnitude.creation_info = creation_info.copy()
        magnitude.resource_id = self._rid(magnitude)
        # Stub origin
        origin.time = ev.get('time')
        origin.latitude = ev.get('lat')
        origin.longitude = ev.get('lon')
        origin.depth = derived_depth * 1000.
        origin.depth_type = "from moment tensor inversion"
#.........这里部分代码省略.........

#.........这里部分代码省略.........
            corner_freqs = []
            for trace in stream:
                # Get the index of the pick.
                pick_index = int(round((pick.time - trace.stats.starttime) / \
                    trace.stats.delta))
                # Choose date window 0.5 seconds before and 1 second after pick.
                data_window = trace.data[pick_index - \
                    int(TIME_BEFORE_PICK * trace.stats.sampling_rate): \
                    pick_index + int(TIME_AFTER_PICK * trace.stats.sampling_rate)]
                # Calculate the spectrum.
                spec, freq = mtspec.mtspec(data_window, trace.stats.delta, 2)
                try:
                    fit = fit_spectrum(spec, freq, pick.time - origin_time,
                            spec.max(), 10.0)
                except:
                    continue
                if fit is None:
                    continue
                Omega_0, f_c, err, _ = fit
                Omega_0 = np.sqrt(Omega_0)
                omegas.append(Omega_0)
                corner_freqs.append(f_c)
            M_0 = 4.0 * np.pi * DENSITY * velocity ** 3 * distance * \
                np.sqrt(omegas[0] ** 2 + omegas[1] ** 2 + omegas[2] ** 2) / \
                radiation_pattern
            r = 3 * k * V_S / sum(corner_freqs)
            moments.append(M_0)
            source_radii.append(r)
            corner_frequencies.extend(corner_freqs)
        if not len(moments):
            print "No moments could be calculated for event %s" % \
                event.resource_id.resource_id
            continue

        # Calculate the seismic moment via basic statistics.
        moments = np.array(moments)
        moment = moments.mean()
        moment_std = moments.std()

        corner_frequencies = np.array(corner_frequencies)
        corner_frequency = corner_frequencies.mean()
        corner_frequency_std = corner_frequencies.std()

        # Calculate the source radius.
        source_radii = np.array(source_radii)
        source_radius = source_radii.mean()
        source_radius_std = source_radii.std()

        # Calculate the stress drop of the event based on the average moment and
        # source radii.
        stress_drop = (7 * moment) / (16 * source_radius ** 3)
        stress_drop_std = np.sqrt((stress_drop ** 2) * \
            (((moment_std ** 2) / (moment ** 2)) + \
            (9 * source_radius * source_radius_std ** 2)))
        if source_radius > 0 and source_radius_std < source_radius:
            print "Source radius:", source_radius, " Std:", source_radius_std
            print "Stress drop:", stress_drop / 1E5, " Std:", stress_drop_std / 1E5

        Mw = 2.0 / 3.0 * (np.log10(moment) - 9.1)
        Mw_std = 2.0 / 3.0 * moment_std / (moment * np.log(10))
        Mws_std.append(Mw_std)
        Mws.append(Mw)
        Mls.append(local_magnitude)
        calc_diff = abs(Mw - local_magnitude)
        Mw = ("%.3f" % Mw).rjust(7)
        Ml = ("%.3f" % local_magnitude).rjust(7)
        diff = ("%.3e" % calc_diff).rjust(7)

        ret_string = colorama.Fore.GREEN + \
            "For event %s: Ml=%s | Mw=%s | " % (event.resource_id.resource_id,
            Ml, Mw)
        if calc_diff >= 1.0:
            ret_string += colorama.Fore.RED
        ret_string += "Diff=%s" % diff
        ret_string += colorama.Fore.GREEN
        ret_string += " | Determined at %i stations" % len(moments)
        ret_string += colorama.Style.RESET_ALL
        print ret_string

        mag = Magnitude()
        mag.mag = Mw
        mag.mag_errors.uncertainty = Mw_std
        mag.magnitude_type = "Mw"
        mag.origin_id = event.origins[0].resource_id
        mag.method_id = "smi:com.github/krischer/moment_magnitude_calculator/automatic/1"
        mag.station_count = len(moments)
        mag.evaluation_mode = "automatic"
        mag.evaluation_status = "preliminary"
        mag.comments.append(Comment( \
            "Seismic Moment=%e Nm; standard deviation=%e" % (moment,
            moment_std)))
        mag.comments.append(Comment("Custom fit to Boatwright spectrum"))
        if source_radius > 0 and source_radius_std < source_radius:
            mag.comments.append(Comment( \
                "Source radius=%.2fm; standard deviation=%.2f" % (source_radius,
                source_radius_std)))
        event.magnitudes.append(mag)

    print "Writing output file..."
    cat.write(output_file, format="quakeml")

def iris2quakeml(url, output_folder=None):
    if not "/spudservice/" in url:
        url = url.replace("/spud/", "/spudservice/")
        if url.endswith("/"):
            url += "quakeml"
        else:
            url += "/quakeml"
    print "Downloading %s..." % url
    r = requests.get(url)
    if r.status_code != 200:
        msg = "Error Downloading file!"
        raise Exception(msg)

    # For some reason the quakeml file is escaped HTML.
    h = HTMLParser.HTMLParser()

    data = h.unescape(r.content)

    # Replace some XML tags.
    data = data.replace("long-period body waves", "body waves")
    data = data.replace("intermediate-period surface waves", "surface waves")
    data = data.replace("long-period mantle waves", "mantle waves")

    data = data.replace("<html><body><pre>", "")
    data = data.replace("</pre></body></html>", "")

    # Change the resource identifiers. Colons are not allowed in QuakeML.
    pattern = r"(\d{4})-(\d{2})-(\d{2})T(\d{2}):(\d{2}):(\d{2})\.(\d{6})"
    data = re.sub(pattern, r"\1-\2-\3T\4-\5-\6.\7", data)

    data = StringIO(data)

    try:
        cat = readEvents(data)
    except:
        msg = "Could not read downloaded event data"
        raise ValueError(msg)

    # Parse the event, and use only one origin, magnitude and focal mechanism.
    # Only the first event is used. Should not be a problem for the chosen
    # global cmt application.
    ev = cat[0]

    if ev.preferred_origin():
        ev.origins = [ev.preferred_origin()]
    else:
        ev.origins = [ev.origins[0]]
    if ev.preferred_focal_mechanism():
        ev.focal_mechanisms = [ev.preferred_focal_mechanism()]
    else:
        ev.focal_mechanisms = [ev.focal_mechanisms[0]]

    try:
        mt = ev.focal_mechanisms[0].moment_tensor
    except:
        msg = "No moment tensor found in file."
        raise ValueError
    seismic_moment_in_dyn_cm = mt.scalar_moment
    if not seismic_moment_in_dyn_cm:
        msg = "No scalar moment found in file."
        raise ValueError(msg)

    # Create a new magnitude object with the moment magnitude calculated from
    # the given seismic moment.
    mag = Magnitude()
    mag.magnitude_type = "Mw"
    mag.origin_id = ev.origins[0].resource_id
    # This is the formula given on the GCMT homepage.
    mag.mag = (2.0 / 3.0) * (math.log10(seismic_moment_in_dyn_cm) - 16.1)
    mag.resource_id = ev.origins[0].resource_id.resource_id.replace("Origin",
        "Magnitude")
    ev.magnitudes = [mag]
    ev.preferred_magnitude_id = mag.resource_id

    # Convert the depth to meters.
    org = ev.origins[0]
    org.depth *= 1000.0
    if org.depth_errors.uncertainty:
        org.depth_errors.uncertainty *= 1000.0

    # Ugly asserts -- this is just a simple script.
    assert(len(ev.magnitudes) == 1)
    assert(len(ev.origins) == 1)
    assert(len(ev.focal_mechanisms) == 1)

    # All values given in the QuakeML file are given in dyne * cm. Convert them
    # to N * m.
    for key, value in mt.tensor.iteritems():
        if key.startswith("m_") and len(key) == 4:
            mt.tensor[key] /= 1E7
        if key.endswith("_errors") and hasattr(value, "uncertainty"):
            mt.tensor[key].uncertainty /= 1E7
    mt.scalar_moment /= 1E7
    if mt.scalar_moment_errors.uncertainty:
        mt.scalar_moment_errors.uncertainty /= 1E7
    p_axes = ev.focal_mechanisms[0].principal_axes
    for ax in [p_axes.t_axis, p_axes.p_axis, p_axes.n_axis]:
        if ax is None or not ax.length:
            continue
        ax.length /= 1E7
#.........这里部分代码省略.........

def request_gcmt(starttime, endtime, minmagnitude=None, mindepth=None, maxdepth=None, minlatitude=None, maxlatitude=None, minlongitude=None, maxlongitude=None):
	import mechanize
	from mechanize import Browser
	import re

	"""
	Description
	I am using mechanize. My attempt is just preliminary, for the current globalcmt.org site. 
	"""

	#Split numbers and text
	r = re.compile("([a-zA-Z]+)([0-9]+)")


	br = Browser()
	br.open('http://www.globalcmt.org/CMTsearch.html')
	#Site has just one form
	br.select_form(nr=0)

	br.form['yr']    = str(starttime.year)
	br.form['mo']    = str(starttime.month)
	br.form['day']   = str(starttime.day)
	br.form['oyr']   = str(endtime.year)
	br.form['omo']   = str(endtime.month)
	br.form['oday']  = str(endtime.day)
	br.form['list']  = ['4']
	br.form['itype'] = ['ymd']
	br.form['otype'] = ['ymd']

	if minmagnitude: br.form['lmw']   = str(minmagnitude)
	if minlatitude : br.form['llat']  = str(minlatitude)
	if maxlatitude : br.form['ulat']  = str(maxlatitude)
	if minlongitude: br.form['llon']  = str(minlongitude)
	if maxlongitude: br.form['ulon']  = str(maxlongitude)
	if mindepth    : br.form['lhd']   = str(mindepth)
	if maxdepth    : br.form['uhd']   = str(maxdepth)

	print("Submitting parameters to globalcmt.")
	req = br.submit()
	print("Retrieving data, creating catalog.")

	data = []
	for line in req:
		data.append(line) 

	data_chunked = _chunking_list(keyword='\n', list=data)
	origins = []
	magnitudes = []
	tensor = []

	for line in data_chunked:
		for element in line:
			if 'event name' in element:
				for content in element:
					org       = line[1].split()
					year      = int(r.match(org[0]).groups()[1])
					mon       = int(org[1])
					day       = int(org[2])
					hour      = int(org[3])
					minute    = int(org[4])
					sec_temp  = int(org[5].split('.')[0])
					msec_temp = int(org[5].split('.')[1])

				origins_temp = UTCDateTime(year, mon, day, hour, minute, sec_temp, msec_temp)
				#adding time shift located in line[3]
				origin       = origins_temp + float(line[3].split()[2])
				magnitude    = float(line[1].split()[10])
				latitude     = float(line[5].split()[1])
				longitude    = float(line[6].split()[1])
				depth        = 1000. * float(line[7].split()[1])
				m_rr         = float(line[8].split()[1])
				m_tt         = float(line[9].split()[1])
				m_pp         = float(line[10].split()[1])
				m_rt         = float(line[11].split()[1])
				m_rp         = float(line[12].split()[1])
				m_tp         = float(line[13].split()[1])

				magnitudes.append( ("Mw", magnitude) )
				origins.append( (latitude, longitude, depth, origin) )
				tensor.append( (m_rr, m_tt, m_pp, m_rt, m_rp, m_tp) )

	cat = Catalog()

	for mag, org, ten in zip(magnitudes, origins, tensor):
		# Create magnitude object.
		magnitude = Magnitude()


		magnitude.magnitude_type = mag[0]
		magnitude.mag = mag[1]
		# Write origin object.
		origin = Origin()
		origin.latitude = org[0]
		origin.longitude = org[1]
		origin.depth = org[2]
		origin.time = org[3]
		# Create event object and append to catalog object.
		event = Event()
		event.magnitudes.append(magnitude)
		event.origins.append(origin)
#.........这里部分代码省略.........