示例#1
0
def test_root_blocks():
    rs = np.random.RandomState(45652)
    for i in range(6):
        max_n = 2 ** i
        n1, l1, b1 = get_random_block_string(max_n=max_n, random_state=rs, level=0)
        n2, l2, b2 = get_random_block_string(max_n=32, random_state=rs, level=0)
        block = f"{b1}:{b2[1:]}"

        nrb = get_root_blocks(block, min_dim=1)
        assert nrb == max_n
        rbid = get_root_block_id(block, min_dim=1)
        assert rbid == n1
示例#2
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    def _parse_parameter_file(self):
        """
        Parses the parameter file and establishes the various
        dictionaries.
        """

        f = open(self.parameter_filename)
        # get dimension from first block name
        b0, fn0 = f.readline().strip().split()
        level0, left0, right0 = get_block_info(b0, min_dim=0)
        root_blocks = get_root_blocks(b0)
        f.close()
        self.dimensionality = left0.size
        self._periodicity = tuple(np.ones(self.dimensionality, dtype=bool))

        lcfn = self.parameter_filename[:-len(self._suffix)] + ".libconfig"
        if os.path.exists(lcfn):
            with open(lcfn) as lf:
                self.parameters = libconf.load(lf)
            cosmo = nested_dict_get(self.parameters, ("Physics", "cosmology"))
            if cosmo is not None:
                self.cosmological_simulation = 1
                co_pars = [
                    "hubble_constant_now",
                    "omega_matter_now",
                    "omega_lambda_now",
                    "comoving_box_size",
                    "initial_redshift",
                ]
                co_dict = {
                    attr: nested_dict_get(self.parameters,
                                          ("Physics", "cosmology", attr))
                    for attr in co_pars
                }
                for attr in [
                        "hubble_constant", "omega_matter", "omega_lambda"
                ]:
                    setattr(self, attr, co_dict[f"{attr}_now"])

                # Current redshift is not stored, so it's not possible
                # to set all cosmological units yet.
                # Get the time units and use that to figure out redshift.
                k = cosmology_get_units(
                    self.hubble_constant,
                    self.omega_matter,
                    co_dict["comoving_box_size"],
                    co_dict["initial_redshift"],
                    0,
                )
                setdefaultattr(self, "time_unit", self.quan(k["utim"], "s"))
                co = Cosmology(
                    hubble_constant=self.hubble_constant,
                    omega_matter=self.omega_matter,
                    omega_lambda=self.omega_lambda,
                )
            else:
                self.cosmological_simulation = 0
        else:
            self.cosmological_simulation = 0

        fh = h5py.File(os.path.join(self.directory, fn0), "r")
        self.domain_left_edge = fh.attrs["lower"]
        self.domain_right_edge = fh.attrs["upper"]

        # all blocks are the same size
        ablock = fh[list(fh.keys())[0]]
        self.current_time = ablock.attrs["time"][0]
        self.parameters["current_cycle"] = ablock.attrs["cycle"][0]
        gsi = ablock.attrs["enzo_GridStartIndex"]
        gei = ablock.attrs["enzo_GridEndIndex"]
        self.ghost_zones = gsi[0]
        self.root_block_dimensions = root_blocks
        self.active_grid_dimensions = gei - gsi + 1
        self.grid_dimensions = ablock.attrs["enzo_GridDimension"]
        self.domain_dimensions = root_blocks * self.active_grid_dimensions
        fh.close()

        if self.cosmological_simulation:
            self.current_redshift = co.z_from_t(self.current_time *
                                                self.time_unit)

        self._periodicity += (False, ) * (3 - self.dimensionality)
        self.gamma = nested_dict_get(self.parameters, ("Field", "gamma"))
示例#3
0
    def _parse_index(self):
        self.grids = np.empty(self.num_grids, dtype="object")

        c = 1
        pbar = get_pbar("Parsing Hierarchy", self.num_grids)
        f = open(self.ds.parameter_filename)
        fblock_size = 32768
        f.seek(0, 2)
        file_size = f.tell()
        nblocks = np.ceil(float(file_size) / fblock_size).astype(np.int64)
        f.seek(0)
        offset = f.tell()
        lstr = ""
        # place child blocks after the root blocks
        rbdim = self.ds.root_block_dimensions
        nroot_blocks = rbdim.prod()
        child_id = nroot_blocks

        last_pid = None
        for _ib in range(nblocks):
            fblock = min(fblock_size, file_size - offset)
            buff = lstr + f.read(fblock)
            bnl = 0
            for _inl in range(buff.count("\n")):
                nnl = buff.find("\n", bnl)
                line = buff[bnl:nnl]
                block_name, block_file = line.split()

                # Handling of the B, B_, and B__ blocks is consistent with
                # other unrefined blocks
                level, left, right = get_block_info(block_name)
                rbindex = get_root_block_id(block_name)
                rbid = (rbindex[0] * rbdim[1:].prod() +
                        rbindex[1] * rbdim[2:].prod() + rbindex[2])

                # There are also blocks at lower level than the
                # real root blocks. These can be ignored.
                if level == 0:
                    check_root = get_root_blocks(block_name).prod()
                    if check_root < nroot_blocks:
                        level = -1

                if level == -1:
                    grid_id = child_id
                    parent_id = -1
                    child_id += 1
                elif level == 0:
                    grid_id = rbid
                    parent_id = -1
                else:
                    grid_id = child_id
                    # Try the last parent_id first
                    if last_pid is not None and is_parent(
                            self.grids[last_pid].block_name, block_name):
                        parent_id = last_pid
                    else:
                        parent_id = self.grids[rbid].get_parent_id(block_name)
                    last_pid = parent_id
                    child_id += 1

                my_grid = self.grid(
                    grid_id,
                    self,
                    block_name,
                    filename=os.path.join(self.directory, block_file),
                )
                my_grid.Level = level
                my_grid._parent_id = parent_id

                self.grids[grid_id] = my_grid
                self.grid_levels[grid_id] = level
                self.grid_left_edge[grid_id] = left
                self.grid_right_edge[grid_id] = right
                self.grid_dimensions[grid_id] = self.ds.active_grid_dimensions

                if level > 0:
                    self.grids[parent_id].add_child(my_grid)

                bnl = nnl + 1
                pbar.update(c)
                c += 1
            lstr = buff[bnl:]
            offset += fblock

        f.close()
        pbar.finish()

        slope = self.ds.domain_width / self.ds.arr(np.ones(3), "code_length")
        self.grid_left_edge = self.grid_left_edge * slope + self.ds.domain_left_edge
        self.grid_right_edge = self.grid_right_edge * slope + self.ds.domain_left_edge