def start_explorer(global_namespace, manual_data_select=False, dir="./"):
frame = framework.framework()
frame.set_default_display_style(padding="0.25em",background_color="white", border_color="LightGrey", border_radius="0.5em")
frame.set_default_io_style(padding="0.25em", margin="0.25em", border_color="LightGrey", border_radius="0.5em")
group_style = {"border_style":"none", "border_radius":"0em", "width":"100%"}
text_box_style = {"width":"10em"}
button_style = {"font_size":"1.25em", "font_weight":"bold"}
first_tab_style = {"border_radius":"0em 0.5em 0.5em 0.5em"}
states_movie = ["movie", "movie_iso_abund", "movie_abu_chart"]
states_nugrid = ["nugrid", "nugrid_w_data", "nugrid_get_data", "iso_abund", "abu_chart", "nugrid_plot"]+states_movie
states_mesa = ["mesa", "mesa_w_data", "get_data", "hrd", "plot", "kip_cont", "kippenhahn", "tcrhoc"]
states_plotting = states_nugrid[3:]+states_mesa[3:]
frame.add_state(states_nugrid)
frame.add_state(states_mesa)
if manual_data_select:
frame.set_state_data("model_data", (None, None))
else:
frame.set_state_data("model_data", (None, None, None))
frame.set_state_data("variable_name_timer", None)
frame.set_state_data("dir", os.path.abspath(dir))
def update_dir_bar_list():
dir = frame.get_state_data("dir")
dirs = [".", ".."] + os.listdir(dir)
frame.set_state_attribute("address_bar", value=dir)
frame.set_state_attribute("directory_list", options=dirs)
frame.add_display_object("window")
frame.add_io_object("Title")
frame.add_display_object("widget")
###Data page###
frame.add_display_object("page_data")
frame.add_io_object("mass")
frame.add_io_object("Z")
frame.add_io_object("select_nugrid_mesa")
frame.add_io_object("address_bar")
frame.add_io_object("directory_list")
frame.add_display_object("contain_module_load")
frame.add_io_object("select_module")
frame.add_display_object("contain_model_select")
frame.add_io_object("model_select")
frame.add_io_object("load_data")
frame.set_state_children("window", ["Title", "widget"])
frame.set_state_children("widget", ["page_data"], titles=["Data"])
frame.set_state_children("page_data", ["mass", "Z", "address_bar", "directory_list", "select_nugrid_mesa",
"contain_module_load"])
frame.set_state_children("contain_module_load", ["select_module", "contain_model_select", "load_data"])
frame.set_state_children("contain_model_select", ["model_select"])
###Plotting page###
frame.add_display_object("page_plotting")
frame.add_io_object("select_plot")
frame.add_io_object("warning_msg")
frame.add_io_object("plot_name")
frame.add_display_object("cycle_sparsity_group")
frame.add_io_object("cycle")
frame.add_io_object("cycle_range")
frame.add_io_object("sparsity")
frame.add_io_object("movie_type")
frame.add_display_object("xax")
frame.add_io_object("xaxis")
frame.add_io_object("logx")
frame.add_display_object("yax")
frame.add_io_object("yaxis")
frame.add_io_object("logy")
frame.add_display_object("mass_settings")
frame.add_io_object("set_amass")
frame.add_io_object("amass_range")
frame.add_io_object("set_mass")
frame.add_io_object("mass_range")
frame.add_io_object("lbound")
frame.add_display_object("kipp_settings")
frame.add_io_object("plot_star_mass")
frame.add_io_object("plot_c12border")
frame.add_io_object("plot_engminus")
frame.add_io_object("plot_engplus")
frame.add_io_object("ixaxis")
frame.add_display_object("lim_settings")
frame.add_io_object("set_lims")
frame.add_io_object("ylim")
frame.add_io_object("xlim")
frame.add_io_object("yres")
frame.add_io_object("xres")
frame.add_io_object("stable")
frame.add_display_object("abu_settings")
frame.add_io_object("ilabel")
frame.add_io_object("imlabel")
frame.add_io_object("imagic")
frame.add_io_object("variable_name")
frame.add_io_object("generate_plot")
frame.set_state_children("widget", ["page_plotting"], titles=["Plotting"])
frame.set_state_children("page_plotting", ["select_plot", "warning_msg", "plot_name", "movie_type", "variable_name", "cycle_sparsity_group",
"xax", "yax", "stable", "mass_settings", "kipp_settings",
"lim_settings", "abu_settings", "stable", "generate_plot"])
frame.set_state_children("cycle_sparsity_group", ["cycle", "cycle_range", "sparsity"])
frame.set_state_children("xax", ["xaxis", "logx"])
frame.set_state_children("yax", ["yaxis", "logy"])
frame.set_state_children("mass_settings", ["set_amass", "amass_range", "set_mass", "mass_range",
"lbound"])
frame.set_state_children("lim_settings", ["ixaxis", "set_lims", "xlim", "ylim", "xres", "yres"])
frame.set_state_children("abu_settings", ["ilabel", "imlabel", "imagic"])
frame.set_state_children("kipp_settings", ["plot_star_mass", "plot_c12border", "plot_engminus", "plot_engplus"])
###DEFAULT###
frame.set_state_data("class_instance", None)
frame.set_state_attribute('window', visible=True, **group_style)
frame.set_state_attribute('Title', visible=True, value = "<center><h1>NuGrid Set explorer</h1></center><p><center>This explorer allows you to investigate NuGrid stellar evolution and yields data sets.</center></p>")
frame.set_state_attribute('widget', visible=True, **group_style)
frame.set_state_attribute("page_data", visible=True, **first_tab_style)
frame.set_state_attribute('mass', visible=not manual_data_select, description="Mass: ", options=["1.0", "1.65", "2.0", "3.0", "4.0", "5.0", "6.0", "7.0", "12.0", "15.0", "20.0", "25.0", "32.0", "60.0"], selected_label="2.0")
frame.set_state_attribute('Z', visible=not manual_data_select, description="Z: ", options=["1E-4", "1E-3", "6E-3", "1E-2", "2E-2"])
frame.set_state_attribute("address_bar", visible=manual_data_select)
frame.set_state_attribute("directory_list", visible=manual_data_select)
frame.set_state_attribute("select_nugrid_mesa", visible=True, description="Select NuGrid or Mesa: ", options=["", "NuGrid", "Mesa"])
frame.set_state_attribute("contain_module_load", visible=True, **group_style)
frame.set_state_attribute("select_module", visible=True, description="Select data type: ", disabled=True)
frame.set_state_attribute("contain_model_select", border_style="none", padding="0px", margin="0px", width="18em")
frame.set_state_attribute("model_select", visible=True, description="Select model: ", placeholder="1", **text_box_style)
frame.set_state_attribute("load_data", visible=True, description="Load Data", disabled=True, **button_style)
###NUGRID###
frame.set_state_attribute("select_module", states_nugrid, options=["", "H5 out"], disabled=False)
frame.set_state_attribute("load_data", states_nugrid, disabled=False)
###MESA###
frame.set_state_attribute("select_module", states_mesa, options=["", "History", "Profile"], disabled=False)
frame.set_state_attribute("load_data", states_mesa, disabled=False)
###CALLBACKS###
def model_select_handler(name, value):
frame.set_attributes("model_select", value=int_text(value))
def mass_Z_handler(name, value):
if frame.get_attribute("contain_model_select", "visible"):
mass = float(frame.get_attribute("mass", "value"))
Z = float(frame.get_attribute("Z", "value"))
dir = frame.get_attribute("address_bar", "value")
if manual_data_select:
mdir, mmodel = frame.get_state_data("model_data")
if (mdir != dir) or (mmodel == None):
clear_output()
pre_data = ms.mesa_profile(dir)
frame.set_state_data("model_data", (dir, pre_data.model))
else:
mmass, mZ, mmodel = frame.get_state_data("model_data")
if (mmass != mass) or (mZ != Z) or (mmodel == None):
clear_output()
pre_data = ms.mesa_profile(mass=mass, Z=Z)
frame.set_state_data("model_data", (mass, Z, pre_data.model))
def address_bar_handler(widget):
dir = frame.get_attribute("address_bar", "value")
if os.path.isdir(dir):
dir = os.path.abspath(dir)
frame.set_state_data("dir", dir)
update_dir_bar_list()
frame.update()
frame.set_attributes("address_bar", value=dir)
frame.set_attributes("directory_list", value=".", selected_label=u".")
def directory_list_handler(name, value):
dir = frame.get_state_data("dir")
dir = dir + "/" + frame.get_attribute("directory_list", "value")
if os.path.isdir(dir):
dir = os.path.abspath(dir)
frame.set_state_data("dir", dir)
update_dir_bar_list()
frame.update()
frame.set_attributes("address_bar", value=dir)
frame.set_attributes("directory_list", value=".", selected_label=u".")
def sel_nugrid_mesa(name, value):
if value=="NuGrid":
frame.set_state("nugrid")
elif value=="Mesa":
frame.set_state("mesa")
elif value=="":
frame.set_state("default")
def load(widget):
clear_output()
data = None
mass = float(frame.get_attribute("mass", "value"))
Z = float(frame.get_attribute("Z", "value"))
dir = frame.get_attribute("address_bar", "value")
if frame.get_attribute("model_select", "value") != "":
model = int(frame.get_attribute("model_select", "value"))
else:
model = 1
module = frame.get_attribute("select_module", "value")
if module == "H5 out":
if manual_data_select:
data = mp.se(dir)
else:
data = mp.se(mass=mass, Z=Z)
frame.set_state("nugrid_w_data")
properties = ["mass", "radius", "rho", "temperature"]
frame.set_attributes("xaxis", options=properties+data.se.isotopes)
frame.set_attributes("yaxis", options=properties+data.se.isotopes)
elif module == "History":
if manual_data_select:
data = ms.history_data(dir)
else:
data = ms.history_data(mass=mass, Z=Z)
frame.set_state("mesa_w_data")
frame.set_attributes("xaxis", options=sorted(data.cols.keys()))
frame.set_attributes("yaxis", options=sorted(data.cols.keys()))
elif module == "Profile":
if manual_data_select:
data = ms.mesa_profile(dir, num=model)
else:
data = ms.mesa_profile(mass=mass, Z=Z, num=model)
frame.set_state("mesa_w_data")
frame.set_attributes("xaxis", options=sorted(data.cols.keys()))
frame.set_attributes("yaxis", options=sorted(data.cols.keys()))
else:
nugrid_or_mesa = frame.get_attribute("select_nugrid_mesa", 'value')
if nugrid_or_mesa == "NuGrid":
frame.set_state("nugrid")
elif nugrid_or_mesa == "Mesa":
frame.set_state("mesa")
frame.set_state_data("class_instance", data)
frame.set_attributes("select_plot", selected_label="")
def change_module(widget, value):
if value == "History":
frame.set_state_attribute("select_plot", states_mesa[1:], options={"":"mesa_w_data", "HR-Diagram":"hrd", "Plot":"plot", "Kippenhahn":"kippenhahn", "Kippenhahan contour":"kip_cont", "TCRhoC plot":"tcrhoc", "Get data":"get_data"})
frame.set_state_attribute("contain_model_select", states_mesa, visible=False)
frame.set_attributes("contain_model_select", visible=False)
elif value == "Profile":
frame.set_attributes("load_data", disabled=True)
frame.set_state_attribute("select_plot", states_mesa[1:], options={"":"mesa_w_data", "Plot":"plot", "Get data":"get_data"})
mass = float(frame.get_attribute("mass", "value"))
Z = float(frame.get_attribute("Z", "value"))
dir = frame.get_attribute("address_bar", "value")
if manual_data_select:
mdir, mmodel = frame.get_state_data("model_data")
if (mdir != dir) or (mmodel == None):
clear_output()
pre_data = ms.mesa_profile(dir)
mmodel = pre_data.model
frame.set_state_data("model_data", (dir, mmodel))
else:
mmass, mZ, mmodel = frame.get_state_data("model_data")
if (mmass != mass) or (mZ != Z) or (mmodel == None):
clear_output()
pre_data = ms.mesa_profile(mass=mass, Z=Z)
mmodel = pre_data.model
frame.set_state_data("model_data", (mass, Z, mmodel))
frame.set_state_attribute("contain_model_select", states_mesa, visible=True)
frame.set_attributes("contain_model_select", visible=True)
frame.set_attributes("model_select", value=str(mmodel[-1]))
frame.set_attributes("load_data", disabled=False)
else:
frame.set_state_attribute("contain_model_select", states_mesa, visible=False)
frame.set_attributes("contain_model_select", visible=False)
frame.set_state_callbacks("model_select", model_select_handler)
frame.set_state_callbacks("mass", mass_Z_handler)
frame.set_state_callbacks("Z", mass_Z_handler)
frame.set_state_callbacks("address_bar", address_bar_handler, attribute=None, type="on_submit")
frame.set_state_callbacks("directory_list", directory_list_handler)
frame.set_state_callbacks("select_nugrid_mesa", sel_nugrid_mesa)
frame.set_state_callbacks("select_module", change_module)
frame.set_state_callbacks("load_data", load, attribute=None, type="on_click")
frame.set_object("window", widgets.Box())
frame.set_object("Title", widgets.HTML())
frame.set_object("widget", widgets.Tab())
frame.set_object("page_data", widgets.VBox())
frame.set_object("mass", widgets.Dropdown())
frame.set_object("Z", widgets.ToggleButtons())
frame.set_object("address_bar", widgets.Text())
frame.set_object("directory_list", widgets.Select())
frame.set_object("select_nugrid_mesa", widgets.Dropdown())
frame.set_object("contain_module_load", widgets.HBox())
frame.set_object("select_module", widgets.Dropdown())
frame.set_object("contain_model_select", widgets.HBox())
frame.set_object("model_select", widgets.Text())
frame.set_object("load_data", widgets.Button())
###Plotting page###
frame.set_state_attribute('page_plotting', visible=True)
frame.set_state_attribute("select_plot", visible=True, description="Select plot type: ", disabled=True)
frame.set_state_attribute("select_plot", states_nugrid[1:], options={"":"nugrid_w_data", "Isotope abundance":"iso_abund", "Abundance chart":"abu_chart", "Movie":"movie", "Plot":"nugrid_plot", "Get data":"nugrid_get_data"}, disabled=False)
frame.set_state_attribute("select_plot", states_mesa[1:], options={"":"mesa_w_data", "HR-Diagram":"hrd", "Plot":"plot", "Kippenhahn":"kippenhahn", "Kippenhahan contour":"kip_cont", "TCRhoC":"tcrhoc", "Get data":"nugrid_get_data"}, disabled=False)
frame.set_state_attribute('warning_msg', visible=True, value="<h3>Error: No data loaded!</h3>", **group_style)
frame.set_state_attribute("warning_msg", ["nugrid_w_data", "mesa_w_data"], value="<h2>Select plot.</h2>")
frame.set_state_attribute("warning_msg", states_plotting + ["get_data", "nugrid_get_data"], visible=False)
frame.set_state_attribute("plot_name", **group_style)
frame.set_state_attribute('plot_name', "iso_abund", visible=True, value="<h2>Isotope abundance</h2>")
frame.set_state_attribute('plot_name', "abu_chart", visible=True, value="<h2>Abundance chart</h2>")
frame.set_state_attribute('plot_name', states_movie, visible=True, value="<h2>Movie</h2>")
frame.set_state_attribute('plot_name', "hrd", visible=True, value="<h2>HR-Diagram</h2>")
frame.set_state_attribute('plot_name', ["plot", "nugrid_plot"], visible=True, value="<h2>Plot</h2>")
frame.set_state_attribute('plot_name', "kippenhahn", visible=True, value="<h2>Kippenhahn</h2>")
frame.set_state_attribute('plot_name', "kip_cont", visible=True, value="<h2>Kippenhahn contour</h2>")
frame.set_state_attribute('plot_name', "tcrhoc", visible=True, value="<h2>Central temperature vs central density</h2>")
frame.set_state_attribute('plot_name', ["get_data", "nugrid_get_data"], visible=True, value="<h2>Get data</h2>")
frame.set_state_attribute("variable_name", ["get_data", "nugrid_get_data"], visible=True, description="Variable name: ", placeholder="Enter name.", **text_box_style)
frame.set_state_attribute('movie_type', states_movie, visible=True, description="Movie Type: ", options={"":"movie", "Isotope abundance":"movie_iso_abund", "Abundance chart":"movie_abu_chart"})
frame.set_state_attribute('cycle_sparsity_group', states_nugrid[1:] + states_mesa[1:] + states_movie, visible=True, **group_style)
frame.set_state_attribute('cycle', ["iso_abund", "abu_chart", "nugrid_plot", "nugrid_get_data"], visible=True, description="cycle: ")
frame.set_state_attribute('cycle_range', states_movie[1:], visible=True)
frame.set_state_attribute('sparsity', states_movie[1:], visible=True, description="Sparsity: ", value="1", **text_box_style)
frame.set_state_attribute('xax', ["plot", "nugrid_plot", "get_data", "nugrid_get_data"], visible=True, **group_style)
frame.set_state_attribute('xaxis', visible=True, description="select X-axis: ")
frame.set_state_attribute('xaxis', ["get_data", "nugrid_get_data"], description="select data: ")
frame.set_state_attribute('logx', visible=True, description="log X-axis: ")
frame.set_state_attribute('logx', ["get_data", "nugrid_get_data"], visible=False)
frame.set_state_attribute('yax', ["plot", "nugrid_plot"], visible=True, **group_style)
frame.set_state_attribute('yaxis', visible=True, description="select Y-axis: ")
frame.set_state_attribute('logy', visible=True, description="log Y-axis: ")
frame.set_state_attribute("mass_settings", ["iso_abund", "abu_chart"]+states_movie[1:], visible=True, **group_style)
frame.set_state_attribute("set_amass", ["iso_abund", "movie_iso_abund"], visible=True, description="Set atomic mass: ")
frame.set_state_attribute("amass_range", ["iso_abund", "movie_iso_abund"], description="Atomi mass range: ", min=0, max=211, value=(0, 211))
frame.set_state_attribute("set_mass", ["iso_abund", "abu_chart"]+states_movie[1:], visible=True, description="Set mass: ")
frame.set_state_attribute("mass_range", ["iso_abund", "abu_chart"]+states_movie[1:], description="Mass range: ")
frame.set_state_attribute("lbound", "abu_chart", visible=True, description="lbound", min=-12, max=0, step=0.05, value=(-12, 0))
frame.set_state_links("amass_link", [("set_amass", "value"), ("amass_range", "visible")], ["iso_abund", "movie_iso_abund"], True)
frame.set_state_links("mass_link", [("set_mass", "value"), ("mass_range", "visible")], ["iso_abund", "abu_chart"]+states_movie[1:], True)
frame.set_state_attribute("lim_settings" , ["iso_abund", "abu_chart", "kip_cont", "tcrhoc"]+states_movie[1:], visible=True, **group_style)
frame.set_state_attribute("set_lims", ["iso_abund", "abu_chart", "kip_cont", "tcrhoc"]+states_movie[1:], visible=True, description="Set axis limits: ")
frame.set_state_attribute("xlim", ["abu_chart", "movie_abu_chart", "kip_cont"], description="x-axis limits: ", min=0, max=130, value=(0, 130), step=0.5)
frame.set_state_attribute("xlim", "tcrhoc", description="x-axis limits: ", min=3.0, max=10.0, value=(3.0, 10.0), step=0.5)
frame.set_state_attribute("ylim", ["iso_abund", "abu_chart", "kip_cont", "tcrhoc"]+states_movie[1:], description="y-axis limits: ")
frame.set_state_attribute("ylim", ["iso_abund", "movie_iso_abund"], min=-13, max=0, step=0.05, value=(-13, 0))
frame.set_state_attribute("ylim", ["abu_chart", "movie_abu_chart"], min=0, max=130, value=(0, 130), step=0.5)
frame.set_state_attribute("ylim", "kip_cont", min=0, max=1, value=(0, 1), step=0.005)#mass
frame.set_state_attribute("ylim", "tcrhoc", min=8.0, max=10.0, value=(8.0, 10.0), step=0.5)
frame.set_state_attribute("ixaxis", "kip_cont", visible=True, description="X axis format: ", options={"Log time":"log_time_left", "Age":"age", "Model number":"model_number"}, value="model_number")
frame.set_state_links("xlims_link", [("set_lims", "value"), ("xlim", "visible")], ["abu_chart", "movie_abu_chart", "kip_cont", "tcrhoc"], True)
frame.set_state_links("ylims_link", [("set_lims", "value"), ("ylim", "visible")], ["iso_abund", "abu_chart", "kip_cont", "tcrhoc"]+states_movie[1:], True)
frame.set_state_attribute("xres", "kip_cont", visible=True, description="x resolution: ", placeholder="1000", **text_box_style)
frame.set_state_attribute("yres", "kip_cont", visible=True, description="y resolution: ", placeholder="1000", **text_box_style)
frame.set_state_links("xres_link", [("set_lims", "value"), ("xres", "visible")], "kip_cont", True)
frame.set_state_links("yres_link", [("set_lims", "value"), ("yres", "visible")], "kip_cont", True)
frame.set_state_attribute("abu_settings", ["abu_chart", "movie_abu_chart"], visible=True, **group_style)
frame.set_state_attribute("ilabel", ["abu_chart", "movie_abu_chart"], visible=True, description="Element label")
frame.set_state_attribute("imlabel", ["abu_chart", "movie_abu_chart"], visible=True, description="Isotope label")
frame.set_state_attribute("imagic", ["abu_chart", "movie_abu_chart"], visible=True, description="Magic numbers")
frame.set_state_attribute("kipp_settings", ["kippenhahn", "kip_cont"], visible=True, **group_style)
frame.set_state_attribute("plot_star_mass", "kippenhahn", visible=True, description="Plot star mass: ")
frame.set_state_attribute("plot_c12border", ["kippenhahn", "kip_cont"], visible=True, description="Show C-12 Border: ")
frame.set_state_attribute("plot_engminus", "kip_cont", visible=True, description="Energy generation contours (eps_nuc>0): ")
frame.set_state_attribute("plot_engplus", "kip_cont", visible=True, description="Energy generation contours (eos_nuc<0): ")
frame.set_state_attribute("stable", "iso_abund", visible=True, description="stable: ")
frame.set_state_attribute('generate_plot', states_plotting, visible=True, description="Generate Plot", **button_style)
frame.set_state_attribute('generate_plot', ["get_data", "nugrid_get_data"], visible=True, description="Get Data", **button_style)
def variable_name_full_validation(value):
frame.set_attributes("variable_name", value=token_text(value, strict=True))
frame.set_state_data("variable_name_timer", None)
def variable_name_handler(name, value):
value = token_text(value)
frame.set_attributes("variable_name", value=value)
timer = frame.get_state_data("variable_name_timer")
if (value != token_text(value, strict=True)):
if timer != None:
timer.cancel()
timer = threading.Timer(1.0, variable_name_full_validation, kwargs={"value":value})
timer.start()
else:
if timer != None:
timer.cancel()
timer = None
frame.set_state_data("variable_name_timer", timer)
def yres_handler(name, value):
frame.set_attributes("yres", value=int_text(value))
def xres_handler(name, value):
frame.set_attributes("xres", value=int_text(value))
def sel_plot(widget, value):
data = frame.get_state_data("class_instance")
if value in ["iso_abund", "abu_chart"]:
cycle_list = data.se.cycles
step = int(cycle_list[1])-int(cycle_list[0])
min = int(cycle_list[0])
max = int(cycle_list[-1])
mass_list = data.se.get(min, "mass")
mass_min, mass_max = mass_list[0], mass_list[-1]
mass_step = (mass_max - mass_min)/200.0
frame.set_state_attribute("mass_range", ["iso_abund", "abu_chart"], min=mass_min, max=mass_max, value=(mass_min, mass_max), step=mass_step)
frame.set_state_attribute('cycle', ["iso_abund", "abu_chart"], min=min, max=max, step=step)
if value == "kip_cont":
min = 0
max = len(data.data)
mass = data.header_attr["initial_mass"]
frame.set_state_attribute("xlim", "kip_cont", min=min, max=max, step=1, value=(min, max))
frame.set_state_attribute("ylim", "kip_cont", min=0.0, max=mass, step=mass/200.0, value=(0.0, mass))
if value in ["nugrid_plot", "nugrid_get_data"]:
cycle_list = data.se.cycles
step = int(cycle_list[1])-int(cycle_list[0])
min = int(cycle_list[0])
max = int(cycle_list[-1])
frame.set_state_attribute('cycle', ["nugrid_plot", "nugrid_get_data"], min=min, max=max, step=step)
frame.set_state(value)
def sel_movie_plot(widget, value):
data = frame.get_state_data("class_instance")
if value in ["movie_iso_abund", "movie_abu_chart"]:
cycle_list = data.se.cycles
step = int(cycle_list[1])-int(cycle_list[0])
min = int(cycle_list[0])
max = int(cycle_list[-1])
mass_list = data.se.get(min, "mass")
mass_min, mass_max = mass_list[0], mass_list[-1]
mass_step = (mass_max - mass_min)/200.0
frame.set_state_attribute("mass_range", ["movie_iso_abund", "movie_abu_chart"], min=mass_min, max=mass_max, value=(mass_min, mass_max), step=mass_step)
frame.set_state_attribute('cycle_range', ["movie_iso_abund", "movie_abu_chart"], min=min, max=max, step=step, value=(min, max))
frame.set_state(value)
def make_plot(widget):
clear_output()
pyplot.close("all")
state = frame.get_state()
data = frame.get_state_data("class_instance")
variable_name = frame.get_attribute("variable_name", "value")
cycle = frame.get_attribute("cycle", "value")
cycle_range = frame.get_attribute("cycle_range", "value")
if state in states_movie:
sparsity = int(frame.get_attribute("sparsity", "value"))
xax = frame.get_attribute("xaxis", "value")
logx = frame.get_attribute("logx", "value")
yax = frame.get_attribute("yaxis", "value")
logy = frame.get_attribute("logy", "value")
if frame.get_attribute("set_amass", "value"):
amass = frame.get_attribute("amass_range", "value")
amass = [amass[0], amass[1]]
else:
amass = None
if frame.get_attribute("set_mass", "value"):
mass = frame.get_attribute("mass_range", "value")
mass = [mass[0], mass[1]]
else:
mass = None
lbound = frame.get_attribute("lbound", "value")
if frame.get_attribute("set_lims", "value"):
xlim = frame.get_attribute("xlim", "value")
ylim = frame.get_attribute("ylim", "value")
else:
xlim = [0, 0]
ylim = [0, 0]
xres = frame.get_attribute("xres", "value")
if xres == "":
xres = "1000"
yres = frame.get_attribute("yres", "value")
if yres == "":
yres = "1000"
xres = int(xres)
yres = int(yres)
ixaxis = frame.get_attribute("ixaxis", "value")
stable = frame.get_attribute("stable", "value")
ilabel = frame.get_attribute("ilabel", "value")
imlabel = frame.get_attribute("imlabel", "value")
imagic = frame.get_attribute("imagic", "value")
plot_star_mass = frame.get_attribute("plot_star_mass", "value")
plot_c12border = frame.get_attribute("plot_c12border", "value")
plot_engminus = frame.get_attribute("plot_engminus", "value")
plot_engplus = frame.get_attribute("plot_engplus", "value")
if state=="iso_abund":
data.iso_abund(cycle, stable, amass, mass, ylim)
elif state=="abu_chart":
plotaxis = [xlim[0], xlim[1], ylim[0], ylim[1]]
data.abu_chart(cycle, mass, ilabel, imlabel, imagic=imagic, lbound=lbound, plotaxis=plotaxis, ifig=1)
elif state=="plot":
if isinstance(yax, basestring):
yax = [yax]
for yaxis in yax:
data.plot(xax, yaxis, logx=logx, logy=logy, shape="-")
elif state=="nugrid_plot":
if isinstance(yax, basestring):
yax = [yax]
for yaxis in yax:
data.plot(xax, yaxis, logx=logx, logy=logy, shape="-", fname=cycle, numtype="time")
elif state=="hrd":
data.hrd_new()
elif state=="kippenhahn":
data.kippenhahn(0, "model", plot_star_mass=plot_star_mass, c12_bm=plot_c12border)
elif state=="kip_cont":
xlims=[xlim[0], xlim[1]]
ylims=[ylim[0], ylim[1]]
if (xlims == [0,0]) and (ylims == [0,0]):
xlim = frame.get_attribute("xlim", "value")
ylim = frame.get_attribute("ylim", "value")
xlims=[xlim[0], xlim[1]]
ylims=[ylim[0], ylim[1]]
data.kip_cont(modstart=xlims[0], modstop=xlims[1], ylims=ylims, xres=xres, yres=yres, engenPlus=plot_engplus, engenMinus=plot_engminus, c12_boundary=plot_c12border, ixaxis = ixaxis)
elif state=="tcrhoc":
lims=[xlim[0], xlim[1], ylim[0], ylim[1]]
if lims == [0, 0, 0, 0]:
lims = [3.0, 10.0, 8.0, 10.0]
data.tcrhoc(lims=lims)
elif state=="movie_iso_abund":
cycles = data.se.cycles
cyc_min = cycles.index("%010d" % (cycle_range[0], ))
cyc_max = cycles.index("%010d" % (cycle_range[1], ))
cycles = cycles[cyc_min:cyc_max:sparsity]
display(data.movie(cycles, "iso_abund", amass_range=amass, mass_range=mass, ylim=ylim))
elif state=="movie_abu_chart":
cycles = data.se.cycles
cyc_min = cycles.index("%010d" % (cycle_range[0], ))
cyc_max = cycles.index("%010d" % (cycle_range[1], ))
cycles = cycles[cyc_min:cyc_max:sparsity]
plotaxis = [xlim[0], xlim[1], ylim[0], ylim[1]]
display(data.movie(cycles, "abu_chart", mass_range=mass, ilabel=ilabel, imlabel=imlabel, imagic=imagic, plotaxis=plotaxis))
elif state=="get_data":
if variable_name == "":
print("No variable name.")
else:
global_namespace[variable_name] = data.get(xax)
print("\nThe data " + str(xax) + " is loaded into the global namespace under the variable name \"" + str(variable_name) + "\".")
elif state=="nugrid_get_data":
if variable_name == "":
print("No variable name.")
else:
global_namespace[variable_name] = data.se.get(cycle, xax)
print("\nThe data " + str(xax) + " is loaded into the global namespace under the variable name \"" + str(variable_name) + "\".")
frame.set_state_callbacks("variable_name", variable_name_handler)
frame.set_state_callbacks("yres", yres_handler)
frame.set_state_callbacks("xres", xres_handler)
frame.set_state_callbacks("select_plot", sel_plot)
frame.set_state_callbacks("movie_type", sel_movie_plot)
frame.set_state_callbacks("generate_plot", make_plot, attribute=None, type="on_click")
frame.set_object("page_plotting", widgets.VBox())
frame.set_object("select_plot", widgets.Dropdown())
frame.set_object("warning_msg", widgets.HTML())
frame.set_object("plot_name", widgets.HTML())
frame.set_object("movie_type", widgets.Dropdown())
frame.set_object("variable_name", widgets.Text())
frame.set_object("cycle_sparsity_group", widgets.HBox())
frame.set_object("cycle", widgets.IntSlider())
frame.set_object("cycle_range", widgets.IntRangeSlider())
frame.set_object("sparsity", widgets.Text())
frame.set_object("xax", widgets.HBox())
frame.set_object("xaxis", widgets.Select())
frame.set_object("logx", widgets.Checkbox())
frame.set_object("yax", widgets.HBox())
frame.set_object("yaxis", widgets.SelectMultiple())
frame.set_object("logy", widgets.Checkbox())
frame.set_object("mass_settings", widgets.VBox())
frame.set_object("set_amass", widgets.Checkbox())
frame.set_object("amass_range", widgets.IntRangeSlider())
frame.set_object("set_mass", widgets.Checkbox())
frame.set_object("mass_range", widgets.FloatRangeSlider())
frame.set_object("lbound", widgets.FloatRangeSlider())
frame.set_object("lim_settings", widgets.VBox())
frame.set_object("set_lims", widgets.Checkbox())
frame.set_object("ixaxis", widgets.Dropdown())
frame.set_object("ylim", widgets.FloatRangeSlider())
frame.set_object("xlim", widgets.FloatRangeSlider())
frame.set_object("yres", widgets.Text())
frame.set_object("xres", widgets.Text())
frame.set_object("stable", widgets.Checkbox())
frame.set_object("abu_settings", widgets.HBox())
frame.set_object("ilabel", widgets.Checkbox())
frame.set_object("imlabel", widgets.Checkbox())
frame.set_object("imagic", widgets.Checkbox())
frame.set_object("kipp_settings", widgets.HBox())
frame.set_object("plot_star_mass", widgets.Checkbox())
frame.set_object("plot_c12border", widgets.Checkbox())
frame.set_object("plot_engminus", widgets.Checkbox())
frame.set_object("plot_engplus", widgets.Checkbox())
frame.set_object("generate_plot", widgets.Button())
update_dir_bar_list()
frame.display_object("window")
def start_PPM(global_namespace, local_dir="./"):
frame = framework.framework()
frame.set_default_display_style(padding="0.25em",background_color="white", border_color="LightGrey", border_radius="0.5em")
frame.set_default_io_style(padding="0.25em", margin="0.25em", border_color="LightGrey", border_radius="0.5em")
group_style = {"border_style":"none", "border_radius":"0em", "width":"100%"}
text_box_style = {"width":"10em"}
button_style = {"font_size":"1.25em", "font_weight":"bold"}
first_tab_style = {"border_radius":"0em 0.5em 0.5em 0.5em"}
states_plotting = ["plot_prof_time", "plot_tEkmax", "plot_vprofs", "get"]
states_loaded = ["data_loaded"] + states_plotting
states = states_loaded
frame.add_state(states)
frame.set_state_data("data_sets", [])
frame.set_state_data("data_set_count", 0)
frame.set_state_data("dir", os.path.abspath(local_dir))
frame.set_state_data("yaxis_options", [""], "plot_prof_time")
frame.set_state_data("yaxis_options", [""], "get")
frame.set_state_data("cycles", [])
frame.set_state_data("variable_name_timer", None)
def add_data_set(data, name):
data_set_count = frame.get_state_data("data_set_count")
data_sets = frame.get_state_data("data_sets")
widget_name = "data_set_widget_#"+str(data_set_count)
frame.add_io_object(widget_name)
frame.set_state_attribute(widget_name, visible=True, description=name)
frame.set_object(widget_name, widgets.Checkbox())
data_sets.append((data, name, widget_name))
frame.set_state_children("data_sets", [widget_name])
frame.set_state_data("data_sets", data_sets)
data_set_count += 1
frame.set_state_data("data_set_count", data_set_count)
def remove_data_set():
data_sets = frame.get_state_data("data_sets")
children = ["data_sets_title"]
tmp_data_sets = []
for i in xrange(len(data_sets)):
widget_name = data_sets[i][2]
if frame.get_attribute(widget_name, "value"):
frame.remove_object(widget_name)
else:
children.append(widget_name)
tmp_data_sets.append(data_sets[i])
data_sets = tmp_data_sets
frame.set_state_children("data_sets", children, append=False)
frame.set_state_data("data_sets", data_sets)
if data_sets == []:
frame.set_state()
def update_dir_bar_list():
dir = frame.get_state_data("dir")
dirs = [".", ".."] + os.listdir(dir)
frame.set_state_attribute("address_bar", value=dir)
frame.set_state_attribute("directory_list", options=dirs)
frame.add_display_object("window")
frame.add_io_object("Title")
frame.add_display_object("widget_data_set_group")
frame.add_display_object("widget")
frame.add_display_object("data_sets")
frame.add_io_object("data_sets_title")
##data page
frame.add_display_object("data_page")
frame.add_display_object("file_system_group")
frame.add_io_object("address_bar")
frame.add_io_object("directory_list")
frame.add_display_object("name_load_remove_group")
frame.add_io_object("data_set_name")
frame.add_io_object("data_set_load")
frame.add_io_object("data_set_remove")
##plotting page
frame.add_display_object("plotting_page")
frame.add_io_object("select_plot")
frame.add_io_object("plot_title")
frame.add_io_object("warning_msg")
frame.add_display_object("cycle_range_group")
frame.add_io_object("cycle")
frame.add_io_object("cycle_range")
frame.add_io_object("cycle_sparsity")
frame.add_io_object("variable_name")
frame.add_display_object("yaxis_group")
frame.add_io_object("yaxis")
frame.add_io_object("logy")
frame.add_io_object("plot")
frame.set_state_children("window", ["Title", "widget_data_set_group"])
frame.set_state_children("widget_data_set_group", ["widget", "data_sets"])
frame.set_state_children("data_sets", ["data_sets_title"])
frame.set_state_children("widget", ["data_page", "plotting_page"], titles=["Data", "Plotting"])
frame.set_state_children("data_page", ["file_system_group", "name_load_remove_group"])
frame.set_state_children("file_system_group", ["address_bar", "directory_list"])
frame.set_state_children("name_load_remove_group", ["data_set_load", "data_set_remove", "data_set_name"])
frame.set_state_children("plotting_page", ["select_plot", "warning_msg", "plot_title", "variable_name", "cycle_range_group", "yaxis_group", "plot"])
frame.set_state_children("cycle_range_group", ["cycle", "cycle_range", "cycle_sparsity"])
frame.set_state_children("yaxis_group", ["yaxis", "logy"])
frame.set_state_attribute("window", visible=True, **group_style)
frame.set_state_attribute("Title", visible=True, value="<center><h1>PPM explorer</h1></center>")
frame.set_state_attribute("widget_data_set_group", visible=True, **group_style)
frame.set_state_attribute("data_sets", visible=True, margin="3.15em 0em 0em 0em")
frame.set_state_attribute("data_sets_title", visible=True, value="<center><h2>Data Sets</h2></center>", **group_style)
frame.set_state_attribute("widget", visible=True, **group_style)
frame.set_state_attribute("data_page", visible=True, **first_tab_style)
frame.set_state_attribute("file_system_group", visible=True, **group_style)
frame.set_state_attribute("address_bar", visible=True)
frame.set_state_attribute("directory_list", visible=True)
frame.set_state_attribute("name_load_remove_group", visible=True, **group_style)
frame.set_state_attribute("data_set_name", visible=True, description="Data set name:", placeholder="Enter name", **text_box_style)
frame.set_state_attribute("data_set_load", visible=True, description="Load data set", **button_style)
frame.set_state_attribute("data_set_remove", visible=True, description="Remove data set", **button_style)
def address_bar_handler(widget):
dir = frame.get_attribute("address_bar", "value")
if os.path.isdir(dir):
dir = os.path.abspath(dir)
frame.set_state_data("dir", dir)
update_dir_bar_list()
frame.update()
frame.set_attributes("address_bar", value=dir)
frame.set_attributes("directory_list", value=".", selected_label=u".")
def directory_list_handler(name, value):
dir = frame.get_state_data("dir")
dir = dir + "/" + frame.get_attribute("directory_list", "value")
if os.path.isdir(dir):
dir = os.path.abspath(dir)
frame.set_state_data("dir", dir)
update_dir_bar_list()
frame.update()
frame.set_attributes("address_bar", value=dir)
frame.set_attributes("directory_list", value=".", selected_label=u".")
def data_set_load_handler(widget):
clear_output()
pyplot.close("all")
dir = frame.get_attribute("address_bar", "value")
data_set_count = frame.get_state_data("data_set_count")
name = frame.get_attribute("data_set_name", "value")
if name == "":
name = "Data set - " + "%03d" % (data_set_count + 1, )
data = ppm.yprofile(dir)
if data.files != []:
frame.set_state("data_loaded")
old_cycs = frame.get_state_data("cycles")
cycs = data.cycles
cycs = list(set(cycs) | set(old_cycs))
cycs.sort()
frame.set_state_data("cycles", cycs)
frame.set_state_data("yaxis_options", data.dcols, "plot_prof_time")
frame.set_state_data("yaxis_options", data.dcols + data.cattrs, "get")
frame.set_state_attribute("cycle", min=cycs[0], max=cycs[-1], value=cycs[-1])
frame.set_state_attribute("cycle_range", min=cycs[0], max=cycs[-1], value=(cycs[0], cycs[-1]))
add_data_set(data, name)
frame.update()
def data_set_remove_handler(widget):
remove_data_set()
frame.update()
frame.set_state_callbacks("address_bar", address_bar_handler, attribute=None, type="on_submit")
frame.set_state_callbacks("directory_list", directory_list_handler)
frame.set_state_callbacks("data_set_load", data_set_load_handler, attribute=None, type="on_click")
frame.set_state_callbacks("data_set_remove", data_set_remove_handler, attribute=None, type="on_click")
frame.set_object("window", widgets.Box())
frame.set_object("Title", widgets.HTML())
frame.set_object("widget_data_set_group", widgets.HBox())
frame.set_object("widget", widgets.Tab())
frame.set_object("data_sets", widgets.VBox())
frame.set_object("data_sets_title", widgets.HTML())
frame.set_object("data_page", widgets.VBox())
frame.set_object("file_system_group", widgets.VBox())
frame.set_object("address_bar", widgets.Text())
frame.set_object("directory_list", widgets.Select())
frame.set_object("name_load_remove_group", widgets.HBox())
frame.set_object("data_set_name", widgets.Text())
frame.set_object("data_set_load", widgets.Button())
frame.set_object("data_set_remove", widgets.Button())
frame.set_state_attribute("plotting_page", visible=True)
frame.set_state_attribute("select_plot", states_loaded, visible=True, options={"":"data_loaded", "Profile time":"plot_prof_time", "Velocity Profile":"plot_vprofs", "tEkmax":"plot_tEkmax", "Get Data":"get"})
frame.set_state_attribute("warning_msg", visible=True, value="<h3>No data sets loaded!</h3>", **group_style)
frame.set_state_attribute("warning_msg", "data_loaded", value="<h3>Select plot.</h3>")
frame.set_state_attribute("warning_msg", states_plotting, visible=False)
frame.set_state_attribute("plot_title", visible=False, **group_style)
frame.set_state_attribute("plot_title", "plot_prof_time", visible=True, value="<h3>Prof_time</h3>")
frame.set_state_attribute("plot_title", "plot_vprofs", visible=True, value="<h3>Plot Velocity Profiles</h3>")
frame.set_state_attribute("plot_title", "plot_tEkmax", visible=True, value="<h3>tEkmax</h3>")
frame.set_state_attribute("plot_title", "get", visible=True, value="<h3>Get Data</h3>")
frame.set_state_attribute("variable_name", "get", visible=True, description="Variable name:", placeholder="Enter name.", **text_box_style)
frame.set_state_attribute("cycle_range_group", ["plot_prof_time", "plot_vprofs", "get"], visible=True, **group_style)
frame.set_state_attribute("cycle", "get", visible=True, description="Cycle:")
frame.set_state_attribute("cycle_range", ["plot_prof_time", "plot_vprofs"], visible=True, description="Cycle range:")
frame.set_state_attribute("cycle_sparsity", ["plot_prof_time", "plot_vprofs"], visible=True, description="Cycle sparsity", value=1)
frame.set_state_attribute("yaxis_group", ["plot_prof_time", "plot_vprofs", "get"], visible=True, **group_style)
frame.set_state_attribute("yaxis", ["plot_prof_time", "get"], visible=True, description="Yaxis:", options=[""])
frame.set_state_attribute("logy", ["plot_prof_time", "plot_vprofs"],visible=True, description="Log Y axis:")
frame.set_state_attribute("plot", states_loaded, visible=True, description="Generate Plot", **button_style)
frame.set_state_attribute("plot", "get", description="Get Data")
def variable_name_full_validation(value):
frame.set_attributes("variable_name", value=token_text(value, strict=True))
frame.set_state_data("variable_name_timer", None)
def variable_name_handler(name, value):
value = token_text(value)
frame.set_attributes("variable_name", value=value)
timer = frame.get_state_data("variable_name_timer")
if (value != token_text(value, strict=True)):
if timer != None:
timer.cancel()
timer = threading.Timer(1.0, variable_name_full_validation, kwargs={"value":value})
timer.start()
else:
if timer != None:
timer.cancel()
timer = None
frame.set_state_data("variable_name_timer", timer)
def select_plot_handler(name, value):
if value in ["plot_prof_time", "get"]:
frame.set_state_attribute("yaxis", value, options=frame.get_state_data("yaxis_options", value))
frame.set_state(value)
def plot_handler(widget):
clear_output()
pyplot.close("all")
state = frame.get_state()
data_sets = frame.get_state_data("data_sets")
variable_name = frame.get_attribute("variable_name", "value")
cycle = frame.get_attribute("cycle", "value")
cycle_min, cycle_max = frame.get_attribute("cycle_range", "value")
cycle_sparsity = int(frame.get_attribute("cycle_sparsity", "value"))
if state in ["plot_prof_time", "plot_vprofs"]:
cycles = range(cycle_min, cycle_max, cycle_sparsity)
yaxis = frame.get_attribute("yaxis", "value")
logy = frame.get_attribute("logy", "value")
no_runs = True
if state == "plot_prof_time":
for data, name, widget_name in data_sets:
if frame.get_attribute(widget_name, "value"):
cycs = data.cycles
cycs = list(set(cycs) & set(cycles))
cycs.sort()
no_runs = False
data.prof_time(cycs, yaxis_thing=yaxis, logy=logy)
elif state == "plot_vprofs":
for data, name, widget_name in data_sets:
if frame.get_attribute(widget_name, "value"):
cycs = data.cycles
cycs = list(set(cycs) & set(cycles))
cycs.sort()
no_runs = False
data.vprofs(cycs, log_logic=logy)
elif state == "plot_tEkmax":
i = 0
for data, name, widget_name in data_sets:
if frame.get_attribute(widget_name, "value"):
no_runs = False
data.tEkmax(ifig=1, label=name, id=i)
i += 1
elif state == "get":
data_out = []
i = 0
for data, name, widget_name in data_sets:
if frame.get_attribute(widget_name, "value"):
if cycle in data.cycles:
i += 1
no_runs = False
if yaxis in data.cattrs:
data_out.append(data.get(attri=yaxis))
else:
data_out.append(data.get(attri=yaxis, fname=cycle))
else:
print("cycle out of range for " + name)
if data_out != []:
if i == 1:
data_out = data_out[0]
if variable_name == "":
print("No variable name.")
else:
global_namespace[variable_name] = data_out
print("\nThe selected data is now loaded into the global namespace under the variable name \"" + variable_name + "\".")
if no_runs:
print "No data sets selected."
frame.set_state_callbacks("variable_name", variable_name_handler)
frame.set_state_callbacks("select_plot", select_plot_handler)
frame.set_state_callbacks("plot", plot_handler, attribute=None, type="on_click")
frame.set_object("plotting_page", widgets.VBox())
frame.set_object("select_plot", widgets.Dropdown())
frame.set_object("warning_msg", widgets.HTML())
frame.set_object("plot_title", widgets.HTML())
frame.set_object("variable_name", widgets.Text())
frame.set_object("cycle_range_group", widgets.HBox())
frame.set_object("cycle", widgets.IntSlider())
frame.set_object("cycle_range", widgets.IntRangeSlider())
frame.set_object("cycle_sparsity", widgets.IntText())
frame.set_object("yaxis_group", widgets.HBox())
frame.set_object("yaxis", widgets.Select())
frame.set_object("logy", widgets.Checkbox())
frame.set_object("plot", widgets.Button())
update_dir_bar_list()
frame.display_object("window")
def start_test_with_alpha_elements():
yield_table_names = ["NuGrid raw", "NuGrid 25Mo Nomoto 2006", "NuGrid 30Mo Nomoto 2006", "NuGrid 40Mo Nomoto 2006"]
yield_tables = {"NuGrid raw":'yield_tables/isotope_yield_table.txt',
"NuGrid 25Mo Nomoto 2006":'yield_tables/isotope_yield_table_N06_25Mo_full_IMF.txt',
"NuGrid 30Mo Nomoto 2006":'yield_tables/isotope_yield_table_N06_30Mo_full_IMF.txt',
"NuGrid 40Mo Nomoto 2006":'yield_tables/isotope_yield_table_N06_40Mo_full_IMF.txt'}
elements = ['O', 'Mg', 'Si', 'S', 'Ca']
line_styles=['-', '--', '-.', ':']
line_colors=['b', 'g', 'r', 'c', 'm', 'y', 'k']
styles = auto_styles()
styles.set_line_styles(line_styles)
styles.set_line_colors(line_colors)
styles.set_line_markers([])
color_convert = colors.ColorConverter()
frame = framework.framework()
frame.set_default_display_style(padding="0.25em",background_color="white", border_color="LightGrey", border_radius="0.5em")
frame.set_default_io_style(padding="0.25em", margin="0.25em", border_color="LightGrey", border_radius="0.5em")
group_style = {"border_style":"none", "border_radius":"0em"}
text_box_style = {"width":"10em"}
button_style = {"font_size":"1.25em", "font_weight":"bold"}
first_tab_style = {"border_radius":"0em 0.5em 0.5em 0.5em"}
frame.set_state_data("runs",[])
frame.set_state_data("styles", styles)
frame.set_state_data("run_count", 0)
def add_run(data, name):
run_count = frame.get_state_data("run_count")
state_data = frame.get_state_data("runs")
styles = frame.get_state_data("styles")
style = styles.get_style()
line_color = style["color"]
line_style = style["shape"]
widget_name = "runs_widget_#"+str(run_count)
frame.add_io_object(widget_name)
frame.set_state_attribute(widget_name, visible=True, description=name)
frame.set_object(widget_name, widgets.Checkbox())
state_data.append((data, name, line_style, line_color, widget_name))
frame.set_state_children("runs", [widget_name])
frame.set_state_data("runs", state_data)
def remove_runs():
state_data = frame.get_state_data("runs")
children = ["runs_title"]
tmp_data=[]
for i in xrange(len(state_data)):
widget_name = state_data[i][4]
if frame.get_attribute(widget_name, "value"):
frame.remove_object(widget_name)
else:
children.append(widget_name)
tmp_data.append(state_data[i])
state_data=tmp_data
frame.set_state_children("runs", children, append=False)
frame.set_state_data("runs", state_data)
frame.add_display_object("window")
frame.add_io_object("title")
frame.add_display_object("widget")
frame.add_display_object("simulation")
frame.add_display_object("table_name_group")
frame.add_io_object("select_table")
frame.add_io_object("run_name")
frame.add_display_object("run_add_rm_group")
frame.add_io_object("run_sim")
frame.add_io_object("rm_sim")
frame.add_display_object("plotting_runs_group")
frame.add_display_object("plotting")
frame.add_io_object("plotting_title")
frame.add_display_object("runs")
frame.add_io_object("runs_title")
frame.add_io_object("select_elem")
frame.add_io_object("plot")
frame.add_io_object("warning_msg")
frame.set_state_children("window", ["title", "widget"])
frame.set_state_children("widget", ["simulation", "plotting_runs_group"])
frame.set_state_children("simulation", ["table_name_group", "run_add_rm_group"])
frame.set_state_children("table_name_group", ["select_table", "run_name"])
frame.set_state_children("run_add_rm_group", ["run_sim", "rm_sim"])
frame.set_state_children("plotting_runs_group", ["plotting", "runs"])
frame.set_state_children("plotting", ["plotting_title", "select_elem", "plot", "warning_msg"])
frame.set_state_children("runs", ["runs_title"])
frame.set_state_attribute('window', visible=True, **group_style)
frame.set_state_attribute('title', visible=True, value="<center><h1>Test with Alpha elements</h1><center>")
frame.set_state_attribute('widget', visible=True, **group_style)
frame.set_state_attribute('simulation', visible=True)
frame.set_state_attribute("table_name_group", visible=True, **group_style)
frame.set_state_attribute("select_table", visible=True, description="Yield table: ", options=yield_table_names)
frame.set_state_attribute("run_name", visible=True, description="Run name: ", placeholder="Enter name", **text_box_style)
frame.set_state_attribute("run_add_rm_group", visible=True, **group_style)
frame.set_state_attribute("run_sim", visible=True, description="Run simulation", **button_style)
frame.set_state_attribute("rm_sim", visible=True, description="Remove selected run", **button_style)
frame.set_state_attribute("plotting_runs_group", visible=True, **group_style)
frame.set_state_attribute("plotting", visible=True)
frame.set_state_attribute("plotting_title", visible=True, value="<h2>Plotting options</h2>", **group_style)
frame.set_state_attribute("runs", visible=True)
frame.set_state_attribute("runs_title", visible=True, value="<h2>Runs</h2>", **group_style)
frame.set_state_attribute("select_elem", visible=True, description="Select Element: ", **text_box_style)
frame.set_state_attribute("select_elem", options=elements)
frame.set_state_attribute("plot", visible=True, description="Generate Plot", **button_style)
frame.set_state_attribute("warning_msg", visible=False, value="<h3>Error no runs selected!</h3>", **group_style)
def loading_mass_handler(name, value):
if (value.strip())[0] == "-":
value = "0.0"
frame.set_attributes("loading_mass", value=float_text(value))
def sn1a_pmil_handler(name, value):
frame.set_attributes("sn1a_pmil", value=float_text(value))
def simulation_run(widget):
run_count = frame.get_state_data("run_count")
run_count += 1
data = None
name = frame.get_attribute("run_name", "value")
if name == "":
name="Run: "+"%03d" % (run_count,)
select_table = yield_tables[frame.get_attribute("select_table", "value")]
data = omega.omega(galaxy='milky_way', table=select_table)
add_run(data, name)
frame.update()
frame.set_attributes("run_name", value="")
frame.set_state_data("run_count", run_count)
def remove_simulation(widget):
remove_runs()
frame.update()
def generate_plot(widget):
clear_output()
pyplot.close("all")
data = frame.get_state_data("runs")
plotted_data = False
comp_data = True
if len(data) != 0:
element = frame.get_attribute("select_elem", "value")
for i in xrange(len(data)):
instance, name, line_style, line_color, widget_name = data[i]
yaxis = '['+element+'/Fe]'
label = name+", "+yaxis
selected = frame.get_attribute(widget_name, "value")
if selected:
plotted_data=True
instance.plot_spectro(xaxis="[Fe/H]", yaxis=yaxis, show_data=comp_data, color=color_convert.to_rgba("w", 0.8),
shape="-", marker=" ", linewidth=4, fsize=[10, 4.5], show_legend=False)
if comp_data:
comp_data=False
for i in xrange(len(data)):
instance, name, line_style, line_color, widget_name = data[i]
yaxis = '['+element+'/Fe]'
label = name+", "+yaxis
selected = frame.get_attribute(widget_name, "value")
if selected:
plotted_data=True
instance.plot_spectro(xaxis="[Fe/H]", yaxis=yaxis, label=label, show_data=comp_data, color=line_color,
shape=line_style, marker=" ", linewidth=2, fsize=[10, 4.5])
if comp_data:
comp_data=False
if plotted_data:
frame.set_attributes("warning_msg", visible=False)
pyplot.ylim(-0.5,1.4)
matplotlib.rcParams.update({'font.size': 14})
pyplot.subplots_adjust(right=0.6)
pyplot.subplots_adjust(bottom=0.15)
pyplot.legend(loc='center left', bbox_to_anchor=(1.01, 0.5), prop={'size':12})
pyplot.show()
else:
frame.set_attributes("warning_msg", visible=True, value="<h3>Error no runs selected!</h3>")
else:
frame.set_attributes("warning_msg", visible=True, value="<h3>Error no run data!</h3>")
frame.set_state_callbacks("run_sim", simulation_run, attribute=None, type="on_click")
frame.set_state_callbacks("rm_sim", remove_simulation, attribute=None, type="on_click")
frame.set_state_callbacks("plot", generate_plot, attribute=None, type="on_click")
frame.set_object("window", widgets.Box())
frame.set_object("title", widgets.HTML())
frame.set_object("widget", widgets.VBox())
frame.set_object("simulation", widgets.VBox())
frame.set_object("table_name_group", widgets.HBox())
frame.set_object("select_table", widgets.Dropdown())
frame.set_object("run_name", widgets.Text())
frame.set_object("run_add_rm_group", widgets.HBox())
frame.set_object("run_sim", widgets.Button())
frame.set_object("rm_sim", widgets.Button())
frame.set_object("plotting_runs_group", widgets.HBox())
frame.set_object("plotting", widgets.VBox())
frame.set_object("plotting_title", widgets.HTML())
frame.set_object("runs", widgets.VBox())
frame.set_object("runs_title", widgets.HTML())
frame.set_object("select_elem", widgets.Dropdown())
frame.set_object("plot", widgets.Button())
frame.set_object("warning_msg", widgets.HTML())
##start widget##
frame.display_object("window")
def start_OMEGA():
tablist = ["sculptor", "carina", "fornax"]
yield_table = 'yield_tables/isotope_yield_table_MESA_only_ye.txt'
mgal_factor = {"sculptor":1.51e9, "carina":3.4e6, "fornax":7.08e8}
elements_sculpt = ['Mg', 'Si', 'Ca', 'Ti']
elements_carina = ['Na','Mg', 'Si', 'Sc', 'Ca', 'Ti', 'V', 'Cr', 'Mn', 'Ni', 'Zn']
elements_fornax = ['Mg', 'Si', 'Ca', 'Ti']
line_styles=['-', '--', '-.', ':']
line_colors=['b', 'g', 'r', 'c', 'm', 'y', 'k']
styles = auto_styles()
styles.set_line_styles(line_styles)
styles.set_line_colors(line_colors)
styles.set_line_markers([])
color_convert = colors.ColorConverter()
frame = framework.framework()
frame.set_default_display_style(padding="0.25em",background_color="white", border_color="LightGrey", border_radius="0.5em")
frame.set_default_io_style(padding="0.25em", margin="0.25em", border_color="LightGrey", border_radius="0.5em")
group_style = {"border_style":"none", "border_radius":"0em"}
text_box_style = {"width":"10em"}
button_style = {"font_size":"1.25em", "font_weight":"bold"}
first_tab_style = {"border_radius":"0em 0.5em 0.5em 0.5em"}
states = ["sculptor", "carina", "fornax"]
frame.add_state(states)
frame.set_state_data("runs",[],"sculptor")
frame.set_state_data("runs",[],"carina")
frame.set_state_data("runs",[],"fornax")
frame.set_state_data("styles", styles)
frame.set_state_data("run_count", 0)
def add_run(state, data, name):
run_count = frame.get_state_data("run_count")
state_data = frame.get_state_data("runs",state)
styles = frame.get_state_data("styles")
style = styles.get_style()
line_color = style["color"]
line_style = style["shape"]
widget_name = "runs_widget_#"+str(run_count)
frame.add_io_object(widget_name)
frame.set_state_attribute(widget_name, state, visible=True, description=name)
frame.set_object(widget_name, widgets.Checkbox())
state_data.append((data, name, line_style, line_color, widget_name))
frame.set_state_children("runs", [widget_name], state=state)
frame.set_state_data("runs", state_data, state)
def remove_runs(state):
state_data = frame.get_state_data("runs",state)
children = ["runs_title"]
tmp_data=[]
for i in xrange(len(state_data)):
widget_name = state_data[i][4]
if frame.get_attribute(widget_name, "value"):
frame.remove_object(widget_name)
else:
children.append(widget_name)
tmp_data.append(state_data[i])
state_data=tmp_data
frame.set_state_children("runs", children, state=state, append=False)
frame.set_state_data("runs", state_data, state)
frame.add_display_object("window")
frame.add_io_object("title")
frame.add_display_object("widget")
frame.add_display_object("simulation")
frame.add_display_object("sculptor")
frame.add_display_object("carina")
frame.add_display_object("fornax")
frame.add_display_object("baryon_name_group")
frame.add_io_object("f_baryon")
frame.add_io_object("run_name")
frame.add_io_object("loading_mass")
frame.add_io_object("sn1a_pmil")
frame.add_display_object("run_add_rm_group")
frame.add_io_object("run_sim")
frame.add_io_object("rm_sim")
frame.add_display_object("plotting_runs_group")
frame.add_display_object("plotting")
frame.add_io_object("plotting_title")
frame.add_display_object("runs")
frame.add_io_object("runs_title")
frame.add_io_object("select_elem")
frame.add_io_object("plot")
frame.add_io_object("warning_msg")
frame.set_state_children("window", ["title", "widget"])
frame.set_state_children("widget", ["simulation", "plotting_runs_group"])
frame.set_state_children("simulation", tablist, titles=["Sculptor Galaxy", "Carina Galaxy", "Fornax Galaxy"])
frame.set_state_children("sculptor", ["baryon_name_group", "loading_mass", "sn1a_pmil", "run_add_rm_group"])
frame.set_state_children("carina", ["baryon_name_group", "loading_mass", "sn1a_pmil", "run_add_rm_group"])
frame.set_state_children("fornax", ["baryon_name_group", "loading_mass", "sn1a_pmil", "run_add_rm_group"])
frame.set_state_children("baryon_name_group", ["f_baryon", "run_name"])
frame.set_state_children("run_add_rm_group", ["run_sim", "rm_sim"])
frame.set_state_children("plotting_runs_group", ["plotting", "runs"])
frame.set_state_children("plotting", ["plotting_title", "select_elem", "plot", "warning_msg"])
frame.set_state_children("runs", ["runs_title"], state=states)
frame.set_state_attribute('window', visible=True, **group_style)
frame.set_state_attribute('title', visible=True, value="<center><h1>OMEGA</h1></center>")
frame.set_state_attribute('widget', visible=True, **group_style)
frame.set_state_attribute('simulation', visible=True, **group_style)
frame.set_state_attribute('sculptor', visible=True, **first_tab_style)
frame.set_state_attribute('carina', visible=True)
frame.set_state_attribute('fornax', visible=True)
frame.set_state_attribute("baryon_name_group", visible=True, **group_style)
frame.set_state_attribute("f_baryon", visible=True, description="Baryon fraction: ", min=0.00005, max=0.1, step=0.00005)
frame.set_state_attribute("f_baryon", "sculptor", value=0.001)
frame.set_state_attribute("f_baryon", "carina", value=0.05)
frame.set_state_attribute("f_baryon", "fornax", value=0.001)
frame.set_state_attribute("run_name", visible=True, description="Run name: ", placeholder="Enter name", **text_box_style)
frame.set_state_attribute("loading_mass", visible=True, description="Mass loading factor: ", **text_box_style)
frame.set_state_attribute("loading_mass", ["sculptor", "carina"], value="10.0")
frame.set_state_attribute("loading_mass", "fornax", value="4.0")
frame.set_state_attribute("sn1a_pmil", visible=True, description="SNe Ia per stellar mass formed: ", **text_box_style)
frame.set_state_attribute("sn1a_pmil", ["sculptor", "carina"], value="2.0e-3")
frame.set_state_attribute("sn1a_pmil", "fornax", value="4.0e-3")
frame.set_state_attribute("run_add_rm_group", visible=True, **group_style)
frame.set_state_attribute("run_sim", visible=True, description="Run simulation", **button_style)
frame.set_state_attribute("rm_sim", visible=True, description="Remove selected run", **button_style)
frame.set_state_attribute("plotting_runs_group", visible=True, **group_style)
frame.set_state_attribute("plotting", visible=True)
frame.set_state_attribute("plotting_title", visible=True, value="<h2>Plotting options</h2>", **group_style)
frame.set_state_attribute("runs", visible=True)
frame.set_state_attribute("runs_title", visible=True, value="<h2>Runs</h2>", **group_style)
frame.set_state_attribute("select_elem", visible=True, description="Select Element: ", **text_box_style)
frame.set_state_attribute("select_elem", "sculptor", options=elements_sculpt)
frame.set_state_attribute("select_elem", "carina", options=elements_carina)
frame.set_state_attribute("select_elem", "fornax", options=elements_fornax)
frame.set_state_attribute("plot", visible=True, description="Generate Plot", **button_style)
frame.set_state_attribute("warning_msg", visible=False, value="<h3>Error no runs selected!</h3>", **group_style)
def loading_mass_handler(name, value):
if (value.strip())[0] == "-":
value = "0.0"
frame.set_attributes("loading_mass", value=float_text(value))
def sn1a_pmil_handler(name, value):
frame.set_attributes("sn1a_pmil", value=float_text(value))
def simulation_run(widget):
run_count = frame.get_state_data("run_count")
run_count += 1
state = frame.get_state()
data = None
name = frame.get_attribute("run_name", "value")
if name == "":
name="Run: "+"%03d" % (run_count,)
f_baryon = frame.get_attribute("f_baryon", "value")
loading_mass = float(frame.get_attribute("loading_mass", "value"))
sn1a_pmil = float(frame.get_attribute("sn1a_pmil", "value"))
mgal = f_baryon * mgal_factor[state]
data = omega.omega(galaxy=state, in_out_control=True, mgal=mgal, mass_loading=loading_mass,
nb_1a_per_m=sn1a_pmil, table=yield_table, Z_trans=-1, in_out_ratio=2.0)
add_run(state, data, name)
frame.update()
frame.set_attributes("run_name", value="")
frame.set_state_data("run_count", run_count)
def remove_simulation(widget):
state = frame.get_state()
remove_runs(state)
frame.update()
def sel_tab(name, value):
clear_output()
pyplot.close("all")
open_tab = tablist[value]
frame.set_state(open_tab)
frame.set_attributes("run_name", value="")
frame.update()
def generate_plot(widget):
clear_output()
pyplot.close("all")
state = frame.get_state()
data = frame.get_state_data("runs", state)
plotted_data = False
comp_data = True
if len(data) != 0:
st = stellab.stellab()
element = frame.get_attribute("select_elem", "value")
yaxis = '['+element+'/Fe]'
st.plot_spectro(xaxis='[Fe/H]', yaxis=yaxis,norm='Grevesse_Sauval_1998',galaxy=state,show_err=True)
for i in xrange(len(data)):
instance, name, line_style, line_color, widget_name = data[i]
label = name+", "+yaxis
selected = frame.get_attribute(widget_name, "value")
if selected:
plotted_data=True
xy = instance.plot_spectro(xaxis='[Fe/H]', yaxis=yaxis, return_x_y=True)
pyplot.plot(xy[0], xy[1], color=color_convert.to_rgba("w", 0.8), linestyle="-", marker=" ", linewidth=4)
if comp_data:
comp_data=False
for i in xrange(len(data)):
instance, name, line_style, line_color, widget_name = data[i]
label = name+", "+yaxis
selected = frame.get_attribute(widget_name, "value")
if selected:
plotted_data=True
xy = instance.plot_spectro(xaxis='[Fe/H]', yaxis=yaxis, return_x_y=True)
pyplot.plot(xy[0], xy[1], color=line_color, linestyle=line_style, marker=" ", linewidth=2, label=label)
if comp_data:
comp_data=False
#pyplot.legend(loc='center left', bbox_to_anchor=(1.01, 0.5), markerscale=0.8, fontsize=12)
if plotted_data:
frame.set_attributes("warning_msg", visible=False)
if state=="sculptor":
pyplot.ylim(-1.0,1.6)
pyplot.xlim(-4.0, -0.5)
elif state=="carina":
pyplot.ylim(-1.0,1.6)
pyplot.xlim(-4.0, -0.5)
if state=="fornax":
pyplot.ylim(-1.0,1.4)
pyplot.xlim(-3.5, 0)
matplotlib.rcParams.update({'font.size': 14})
pyplot.subplots_adjust(right=0.6)
pyplot.subplots_adjust(bottom=0.15)
pyplot.legend(loc='center left', bbox_to_anchor=(1.01, 0.5), prop={'size':12})
pyplot.show()
else:
frame.set_attributes("warning_msg", visible=True, value="<h3>Error no runs selected!</h3>")
else:
frame.set_attributes("warning_msg", visible=True, value="<h3>Error no run data!</h3>")
frame.set_state_callbacks("loading_mass", loading_mass_handler)
frame.set_state_callbacks("sn1a_pmil", sn1a_pmil_handler)
frame.set_state_callbacks("run_sim", simulation_run, attribute=None, type="on_click")
frame.set_state_callbacks("rm_sim", remove_simulation, attribute=None, type="on_click")
frame.set_state_callbacks("simulation", sel_tab, "selected_index")
frame.set_state_callbacks("plot", generate_plot, attribute=None, type="on_click")
frame.set_object("window", widgets.Box())
frame.set_object("title", widgets.HTML())
frame.set_object("widget", widgets.VBox())
frame.set_object("simulation", widgets.Tab())
frame.set_object("sculptor", widgets.Box())
frame.set_object("carina", widgets.Box())
frame.set_object("fornax", widgets.Box())
frame.set_object("baryon_name_group", widgets.HBox())
frame.set_object("f_baryon", widgets.FloatSlider())
frame.set_object("run_name", widgets.Text())
frame.set_object("loading_mass", widgets.Text())
frame.set_object("sn1a_pmil", widgets.Text())
frame.set_object("run_add_rm_group", widgets.HBox())
frame.set_object("run_sim", widgets.Button())
frame.set_object("rm_sim", widgets.Button())
frame.set_object("plotting_runs_group", widgets.HBox())
frame.set_object("plotting", widgets.VBox())
frame.set_object("plotting_title", widgets.HTML())
frame.set_object("runs", widgets.VBox())
frame.set_object("runs_title", widgets.HTML())
frame.set_object("select_elem", widgets.Dropdown())
frame.set_object("plot", widgets.Button())
frame.set_object("warning_msg", widgets.HTML())
##start widget##
frame.display_object("window")
tab_index = frame.get_attribute("simulation", "selected_index")
sel_tab("selected_index", tab_index)
def start_SYGMA():
frame = framework.framework()
frame.set_default_display_style(padding="0.25em",background_color="white", border_color="LightGrey", border_radius="0.5em")
frame.set_default_io_style(padding="0.25em", margin="0.25em", border_color="LightGrey", border_radius="0.5em")
tablist = ["sim_page", "plot_page", "custom_imf_page", "get_table_page"]
yield_list = {"Analytic perscription":{"Delay":"yield_tables/isotope_yield_table_MESA_only_fryer12_delay.txt",
"Rapid":"yield_tables/isotope_yield_table_MESA_only_fryer12_rapid.txt",
"Exclude neutron-alpha rich freeze-out":"yield_tables/isotope_yield_table_MESA_only_fryer12_exclnalpha.txt"},
"Ye=0.4982":{"Fallback at Ye":"yield_tables/isotope_yield_table_MESA_only_ye.txt",
"Fallback motivated by GCE":"yield_tables/isotope_yield_table_MESA_only_ye_fallback.txt"}}
group_style = {"border_style":"none", "border_radius":"0em"}
text_box_style = {"width":"10em"}
button_style = {"font_size":"1.25em", "font_weight":"bold"}
first_tab_style = {"border_radius":"0em 0.5em 0.5em 0.5em"}
custom_imf_dir = os.environ["SYGMADIR"] + "/SYGMA_widget_imfs/"
default_custom_imf_text = "\n#File to define a custom IMF\n#Define your IMF in custom_imf\n#so that the return value represents\n#the chosen IMF value for the input mass\n\ndef custom_imf(mass):\n #Salpeter IMF\n return mass**-2.35\n"
states_plot = ["plot_totmasses", "plot_mass", "plot_spectro", "plot_mass_range"]
states_sim_plot = ["run_sim"] + states_plot
states_cimf = ["custom_imf", "load_custom_imf"]
states = states_sim_plot + states_cimf
frame.add_state(states)
isotopes_all=['H-1','H-2','He-3','He-4','Li-7','B-11','C-12','C-13','N-14','N-15','O-16','O-17','O-18','F-19','Ne-20','Ne-21','Ne-22','Na-23','Mg-24','Mg-25','Mg-26','Al-27','Si-28','Si-29','Si-30','P-31','S-32','S-33','S-34','S-36','Cl-35','Cl-37','Ar-36','Ar-38','Ar-40','K-39','K-40','K-41','Ca-40','Ca-42','Ca-43','Ca-44','Ca-46','Ca-48','Sc-45','Ti-46','Ti-47','Ti-48','Ti-49','Ti-50','V-50','V-51','Cr-50','Cr-52','Cr-53','Cr-54','Mn-55','Fe-54','Fe-56','Fe-57','Fe-58','Co-59','Ni-58','Ni-60','Ni-61','Ni-62','Ni-64']
elements_all=['H','He','Li','B','C','N','O','F','Ne','Na','Mg','Al','Si','P','S','Cl','Ar','K','Ca','Sc','Ti','V','Cr','Mn','Fe','Co','Ni']
isotopes_sn1a=['C-12','C-13','N-14','N-15','O-16','O-17','O-18','F-19','Ne-20','Ne-21','Ne-22','Na-23','Mg-24','Mg-25','Mg-26','Al-27','Si-28','Si-29','Si-30','P-31','S-32','S-33','S-34','S-36','Cl-35','Cl-37','Ar-36','Ar-38','Ar-40','K-39','K-40','K-41','Ca-40','Ca-42','Ca-43','Ca-44','Ca-46','Ca-48','Sc-45','Ti-46','Ti-47','Ti-48','Ti-49','Ti-50','V-50','V-51','Cr-50','Cr-52','Cr-53','Cr-54','Mn-55','Fe-54','Fe-56','Fe-57','Fe-58','Co-59','Ni-58','Ni-60','Ni-61','Ni-62','Ni-64']
elements_sn1a=['C','N','O','F','Ne','Na','Mg','Al','Si','P','S','Cl','Ar','K','Ca','Sc','Ti','V','Cr','Mn','Fe','Co','Ni']
isotopes_sel_mult = ["All"] + isotopes_all
elements_sel_mult = ["All"] + elements_all
line_styles=["-", "--", ":", "-."]
# line_colors=["k", "r", "g", "b", "c", "m", "y"]
line_colors=["k", "r", "b", "c", "m", "y"]#remove "g"
line_markers = ["o", "s", "x", "D", "v", "^", "<", ">", "p", "*", "+"]
styles = auto_styles()
styles.set_line_styles(line_styles)
styles.set_line_colors(line_colors)
styles.set_line_markers(line_markers)
frame.set_state_data("elements", elements_all)
frame.set_state_data("isotopes", isotopes_all)
frame.set_state_data("over_plotting_data", [])
frame.set_state_data("styles", styles)
frame.set_state_data("old_state", None)
frame.set_state_data("runs", [])
frame.set_state_data("run_count", 0)
def add_run(data, name, Z):
run_count = frame.get_state_data("run_count")
runs_data = frame.get_state_data("runs")
widget_name = "runs_widget_#"+str(run_count)
frame.add_io_object(widget_name)
frame.set_state_attribute(widget_name, visible=True, description=name)
frame.set_object(widget_name, widgets.Checkbox())
runs_data.append((data, name, Z, widget_name))
frame.set_state_children("runs", [widget_name])
frame.set_state_data("runs", runs_data)
run_count += 1
frame.set_state_data("run_count", run_count)
def remove_runs():
data = frame.get_state_data("runs")
children = ["runs_title"]
tmp_data = []
for i in xrange(len(data)):
widget_name = data[i][3]
if frame.get_attribute(widget_name, "value"):
frame.remove_object(widget_name)
else:
children.append(widget_name)
tmp_data.append(data[i])
data = tmp_data
frame.set_state_children("runs", children, append=False)
frame.set_state_data("runs", data)
def list_custom_imf():
if os.path.isdir(custom_imf_dir):
files_dirs = os.listdir(custom_imf_dir)
imfs = []
for file in files_dirs:
file_full = custom_imf_dir + file
if os.path.isfile(file_full):
file = file.rsplit(".", 1)
if file[1] == "py":
imfs.append(file[0])
return imfs
else:
return []
frame.add_display_object("window")
frame.add_io_object("title")
frame.add_display_object("widget_runs_group")
frame.add_display_object("widget")
frame.add_display_object("runs")
frame.add_io_object("runs_title")
###Sim page###
frame.add_display_object("sim_page")
frame.add_display_object("mass_Z_group")
frame.add_io_object("init_Z")
frame.add_io_object("mass_gas")
frame.add_display_object("time_group")
frame.add_io_object("t_end")
frame.add_io_object("dt")
frame.add_display_object("imf_type_group")
frame.add_io_object("imf_type")
frame.add_io_object("imf_alpha")
frame.add_display_object("imf_mass_group")
frame.add_io_object("imf_mass_min")
frame.add_io_object("imf_mass_max")
frame.add_display_object("sn1a_group")
frame.add_io_object("use_sn1a")
frame.add_io_object("sn1a_rates")
frame.add_display_object("yield_table_group")
frame.add_io_object("yield_table_selection")
frame.add_io_object("yield_table_list")
frame.add_display_object("run_sim_remove_run_group")
frame.add_io_object("run_sim")
frame.add_io_object("remove_run")
frame.add_io_object("run_name")
frame.add_io_object("plot_type")
frame.add_io_object("sim_responce")
frame.set_state_children("window", ["title", "widget_runs_group"])
frame.set_state_children("widget_runs_group", ["widget", "runs"])
frame.set_state_children("widget", ["sim_page"], titles=["Simulation"])
frame.set_state_children("sim_page", ["mass_Z_group", "time_group", "imf_type_group", "imf_mass_group", "sn1a_group", "yield_table_group", "run_sim_remove_run_group", "sim_responce"])
frame.set_state_children("mass_Z_group", ["mass_gas", "init_Z"])
frame.set_state_children("time_group", ["t_end", "dt"])
frame.set_state_children("imf_type_group", ["imf_type", "imf_alpha"])
frame.set_state_children("imf_mass_group", ["imf_mass_min", "imf_mass_max"])
frame.set_state_children("sn1a_group", ["use_sn1a", "sn1a_rates"])
frame.set_state_children("yield_table_group", ["yield_table_selection", "yield_table_list"])
frame.set_state_children("run_sim_remove_run_group", ["run_sim", "remove_run", "run_name"])
frame.set_state_children("runs", ["runs_title"])
###plotting page###
frame.add_display_object("plot_page")
frame.add_io_object("warning_msg")
frame.add_io_object("plot_name")
frame.add_display_object("source_over_plotting_group")
frame.add_io_object("source")
frame.add_io_object("over_plotting")
frame.add_io_object("clear_plot")
frame.add_display_object("species_group")
frame.add_io_object("iso_or_elem")
frame.add_io_object("species")
frame.add_io_object("elem_numer")
frame.add_io_object("elem_denom")
frame.add_io_object("plot")
frame.set_state_children("widget", ["plot_page"], titles=["Plotting"])
frame.set_state_children("plot_page", ["warning_msg", "plot_type", "plot_name", "source_over_plotting_group", "species_group", "elem_numer", "elem_denom", "plot"])
frame.set_state_children("source_over_plotting_group", ["source", "over_plotting", "clear_plot"])
frame.set_state_children("species_group", ["iso_or_elem", "species"])
###Custom IMF page###
frame.add_display_object("custom_imf_page")
frame.add_display_object("load_save_imf_group")
frame.add_io_object("load_imf")
frame.add_io_object("list_imfs")
frame.add_io_object("name_imf")
frame.add_io_object("save_imf")
frame.add_io_object("delete_imf")
frame.add_io_object("text_imf")
frame.add_io_object("test_imf")
frame.set_state_children("widget", ["custom_imf_page"], titles=["Custom IMF"])
frame.set_state_children("custom_imf_page", ["load_save_imf_group", "text_imf", "test_imf"])
frame.set_state_children("load_save_imf_group", ["load_imf", "list_imfs", "name_imf", "save_imf", "delete_imf"])
###plotting page###
frame.add_display_object("get_table_page")
frame.add_display_object("species_mult_group")
frame.add_io_object("species_mult")
frame.add_io_object("get_table")
frame.add_io_object("table_links")
frame.set_state_children("widget", ["get_table_page"], titles=["Download Tables"])
frame.set_state_children("get_table_page", ["warning_msg", "species_mult_group", "get_table", "table_links"])
frame.set_state_children("species_mult_group", ["iso_or_elem", "species_mult"])
frame.set_state_attribute('window', visible=True, **group_style)
frame.set_state_attribute('title', visible=True, value="<center><h1>SYGMA</h1></center>")
frame.set_state_attribute("widget_runs_group", visible=True, **group_style)
frame.set_state_attribute('widget', visible=True, **group_style)
frame.set_state_attribute("runs", visible=True, margin="3.15em 0em 0em 0em")
frame.set_state_attribute("runs", states_cimf, visible=False)
frame.set_state_attribute("runs_title", visible=True, value="<center><h2>Runs</h2></center>", **group_style)
frame.set_state_attribute('sim_page', visible=True, **first_tab_style)
frame.set_state_attribute("mass_Z_group", visible=True, **group_style)
frame.set_state_attribute("mass_gas", visible=True, description="Total stellar mass [$M_{\odot}$]:", value="1.0", **text_box_style)
frame.set_state_attribute('init_Z', visible=True, description="Initial metallicity: ", options=["0.02", "0.01", "0.006", "0.001", "0.0001", "0.0"])
frame.set_state_attribute('time_group', visible=True, **group_style)
frame.set_state_attribute('t_end', visible=True, description="Final time [yrs]: ", value="1.0e10", **text_box_style)
frame.set_state_attribute('dt', visible=True, description="Time step [yrs]: ", value="1.0e7", **text_box_style)
frame.set_state_attribute('imf_type_group', visible=True, **group_style)
frame.set_state_attribute('imf_type', visible=True, description="IMF type: ", options=['salpeter', 'chabrier', 'kroupa', 'alphaimf'] + list_custom_imf())
frame.set_state_attribute('imf_alpha', description="Set alpha: ", min=0, max=5)
frame.set_state_attribute("imf_mass_group", visible=True, **group_style)
frame.set_state_attribute('imf_mass_min', visible=True, description="IMF lower limit [$M_{\odot}$]: ", value="1.0", **text_box_style)
frame.set_state_attribute('imf_mass_max', visible=True, description="IMF upper limit [$M_{\odot}$]: ", value="30.0", **text_box_style)
frame.set_state_attribute('sn1a_group', visible=True, **group_style)
frame.set_state_attribute('use_sn1a', visible=True, description="Include SNe Ia: ", value=True)
frame.set_state_attribute("yield_table_group", visible=True, **group_style)
frame.set_state_attribute("yield_table_selection", visible=True, description="CCSN remnant prescription:", options=["Analytic perscription", "Ye=0.4982"], value="Ye=0.4982")
frame.set_state_attribute('yield_table_list', visible=True, options=yield_list["Ye=0.4982"], selected_label="Fallback at Ye")
frame.set_state_links("sn1a_link", [("use_sn1a", "value"), ("sn1a_rates", "visible")], directional=True)
frame.set_state_attribute('sn1a_rates', description="SNe Ia rates: ", options=['Power law', 'Exponential', 'Gaussian','Maoz12'])
frame.set_state_attribute("run_sim_remove_run_group", visible=True, **group_style)
frame.set_state_attribute('run_sim', visible=True, description="Run simulation", **button_style)
frame.set_state_attribute("remove_run", visible=True, description="Remove selected", **button_style)
frame.set_state_attribute("run_name", visible=True, description="Run name: ", placeholder="Enter name", value="", **text_box_style)
frame.set_state_attribute("sim_responce", value="<p>Simulation data loaded.</p>", **group_style)
frame.set_state_attribute("sim_responce", states_sim_plot, visible=True)
frame.set_state_attribute('plot_type', states_sim_plot, visible=True, description="Plot type: ", options=["Total mass", "Species mass", "Species spectroscopic", "Mass range contributions"])
def mass_gas_handler(name, value):
frame.set_attributes("mass_gas", value=float_text(value))
def t_end_handler(name, value):
frame.set_attributes("t_end", value=float_text(value))
def dt_handler(name, value):
frame.set_attributes("dt", value=float_text(value))
def imf_mass_min_handler(name, value):
frame.set_attributes("imf_mass_min", value=float_text(value))
def imf_mass_max_handler(name, value):
frame.set_attributes("imf_mass_max", value=float_text(value))
def sel_imf_type(attribute, value):
if value=="alphaimf":
frame.set_state_attribute("imf_alpha", visible=True)
frame.set_attributes("imf_alpha", visible=True, value=2.35)
else:
frame.set_state_attribute("imf_alpha", visible=False)
frame.set_attributes("imf_alpha", visible=False)
def yield_table_selection_handler(name, value):
frame.set_attributes("yield_table_list", options=yield_list[value])
if value == "Analytic perscription":
frame.set_attributes("yield_table_list", selected_label="Delay")
elif value == "Ye=0.4982":
frame.set_attributes("yield_table_list", selected_label="Fallback at Ye")
def run_simulation(widget):
frame.set_attributes("sim_responce", visible=False)
clear_output()
pyplot.close("all")
sn1a_map = {"Power law":"power_law", "Gaussian":"gauss","Exponential":"exp","Maoz12":"maoz"}
mgal = float(frame.get_attribute("mass_gas", "value"))
iniZ = float(frame.get_attribute("init_Z", "value"))
imf_type = frame.get_attribute("imf_type", "value")
alphaimf = frame.get_attribute("imf_alpha", "value")
mass_min = float(frame.get_attribute("imf_mass_min", "value"))
mass_max = float(frame.get_attribute("imf_mass_max", "value"))
imf_bdys = [mass_min, mass_max]
sn1a_on = frame.get_attribute("use_sn1a", "value")
sn1a_rate = sn1a_map[frame.get_attribute("sn1a_rates", "value")]
dt = float(frame.get_attribute("dt", "value"))
tend = float(frame.get_attribute("t_end", "value"))
yield_table = frame.get_attribute("yield_table_list", "value")
if not (imf_type in ['salpeter', 'chabrier', 'kroupa', 'alphaimf']):
destination = os.environ["SYGMADIR"] + "/imf_input.py"
shutil.copy(custom_imf_dir + imf_type + ".py", destination)
imf_type = "input"
run_count = frame.get_state_data("run_count")
name = frame.get_attribute("run_name", "value")
if name == "":
name = "Run - "+"%03d" % (run_count + 1, )
if iniZ==0.0:
data=s.sygma(mgal=mgal, iniZ=iniZ, imf_type=imf_type, alphaimf=alphaimf, imf_bdys=[10.1, 100.0], imf_bdys_pop3=imf_bdys, sn1a_on=sn1a_on,
sn1a_rate=sn1a_rate, dt=dt,tend=tend, table=yield_table)
else:
data=s.sygma(mgal=mgal, iniZ=iniZ, imf_type=imf_type, alphaimf=alphaimf, imf_bdys=imf_bdys, sn1a_on=sn1a_on,
sn1a_rate=sn1a_rate, dt=dt,tend=tend, table=yield_table)
frame.set_state("run_sim")
##force reset plottype
frame.set_attributes("plot_type", selected_label="Species mass", value="Species mass")
frame.set_attributes("plot_type", selected_label="Total mass", value="Total mass")
add_run(data, name, iniZ)
frame.update()
def remove_simulation(widget):
remove_runs()
frame.update()
def sel_tab(name, value):
open_tab = tablist[value]
if open_tab == "custom_imf_page":
frame.set_state_data("old_state", frame.get_state())
frame.set_state("custom_imf")
if frame.get_attribute("name_imf", "value") == "":
frame.set_attributes("text_imf", value=default_custom_imf_text)
else:
if frame.get_state() in states_cimf:
old_state = frame.get_state_data("old_state")
if old_state != None:
frame.set_state(old_state)
else:
frame.set_state("default")
frame.set_state_data("old_state", None)
frame.set_state_callbacks("mass_gas", mass_gas_handler)
frame.set_state_callbacks("t_end", t_end_handler)
frame.set_state_callbacks("dt", dt_handler)
frame.set_state_callbacks("imf_mass_min", imf_mass_min_handler)
frame.set_state_callbacks("imf_mass_max", imf_mass_max_handler)
frame.set_state_callbacks("imf_type", sel_imf_type)
frame.set_state_callbacks("yield_table_selection", yield_table_selection_handler)
frame.set_state_callbacks("run_sim", run_simulation, attribute=None, type="on_click")
frame.set_state_callbacks("remove_run", remove_simulation, attribute=None, type="on_click")
frame.set_state_callbacks("widget", sel_tab, "selected_index")
frame.set_object("window", widgets.Box())
frame.set_object("title", widgets.HTML())
frame.set_object("widget_runs_group", widgets.HBox())
frame.set_object("widget", widgets.Tab())
frame.set_object("runs", widgets.VBox())
frame.set_object("runs_title", widgets.HTML())
frame.set_object("sim_page", widgets.VBox())
frame.set_object("mass_Z_group", widgets.HBox())
frame.set_object("mass_gas", widgets.Text())
frame.set_object("init_Z", widgets.Dropdown())
frame.set_object("time_group", widgets.HBox())
frame.set_object("t_end", widgets.Text())
frame.set_object("dt", widgets.Text())
frame.set_object("imf_type_group", widgets.HBox())
frame.set_object("imf_type", widgets.Dropdown())
frame.set_object("imf_alpha", widgets.FloatSlider())
frame.set_object("imf_mass_group", widgets.HBox())
frame.set_object("imf_mass_min", widgets.Text())
frame.set_object("imf_mass_max", widgets.Text())
frame.set_object("sn1a_group", widgets.HBox())
frame.set_object("use_sn1a", widgets.Checkbox())
frame.set_object("sn1a_rates", widgets.Dropdown())
frame.set_object("yield_table_group", widgets.HBox())
frame.set_object("yield_table_selection", widgets.ToggleButtons())
frame.set_object("yield_table_list", widgets.Dropdown())
frame.set_object("run_sim_remove_run_group", widgets.HBox())
frame.set_object("run_sim", widgets.Button())
frame.set_object("remove_run", widgets.Button())
frame.set_object("run_name", widgets.Text())
frame.set_object("sim_responce", widgets.HTML())
frame.set_object("plot_type", widgets.Dropdown())
frame.set_state_attribute("plot_page", visible=True)
frame.set_state_attribute("warning_msg", visible=True, value="<h3>Error: No simulation data!</h3>", **group_style)
frame.set_state_attribute("warning_msg", states_plot, visible=False)
frame.set_state_attribute("plot_name", **group_style)
frame.set_state_attribute("plot_name", "plot_totmasses", visible=True, value="<h2>Plot: Total mass evolution</h2>")
frame.set_state_attribute("plot_name", "plot_mass", visible=True, value="<h2>Plot: Species mass evolution</h2>")
frame.set_state_attribute("plot_name", "plot_spectro", visible=True, value="<h2>Plot: Spectroscopic Mass evolution</h2>")
frame.set_state_attribute("plot_name", "plot_mass_range", visible=True, value="<h2>Plot: Mass range contributions</h2><p>Only ejecta from AGB and massive stars are considered.</p>")
frame.set_state_attribute("source_over_plotting_group", states_plot, visible=True, **group_style)
frame.set_state_attribute("source", ["plot_totmasses", "plot_mass", "plot_spectro"], visible=True, description="Yield source: ", options=["All", "AGB", "SNe Ia", "Massive"], selected_label="All")
frame.set_state_attribute("over_plotting", visible=True, description="Over plotting", value=False, **button_style)
frame.set_state_attribute("clear_plot", description="Clear plot", **button_style)
frame.set_state_links("clear_plot_link", [("over_plotting", "value"), ("clear_plot", "visible")], directional=True)
frame.set_state_attribute("species_group", ["plot_mass", "plot_mass_range"], visible=True, **group_style)
frame.set_state_attribute("iso_or_elem", visible=True, description="species type: ", options=["Elements", "Isotopes"], selected_label="Elements")
frame.set_state_attribute("species", visible=True, description="Element: ", options=elements_all, **text_box_style)
frame.set_state_attribute("elem_numer", "plot_spectro", visible=True, description="Y-axis [X/Y], choose X: ", options=elements_all, **text_box_style)
frame.set_state_attribute("elem_denom", "plot_spectro", visible=True, description="Y-axis [X/Y], choose Y: ", options=elements_all, **text_box_style)
frame.set_state_attribute("plot", states_plot, visible=True, description="Generate Plot", **button_style)
def clear_plot_handler(widget):
clear_output()
pyplot.close("all")
frame.set_state_data("over_plotting_data", [])
def sel_plot_type(attribute, value):
if value=="Total mass":
frame.set_state("plot_totmasses")
elif value=="Species mass":
frame.set_state("plot_mass")
elif value=="Species spectroscopic":
frame.set_state("plot_spectro")
elif value=="Mass range contributions":
frame.set_state("plot_mass_range")
# iniZ = float(frame.get_attribute("init_Z", "value"))
# if iniZ==0.0:
# frame.set_attributes("source", options=["All", "AGB", "Massive"])
# else:
frame.set_attributes("source", options=["All", "AGB", "SNe Ia", "Massive"])
frame.set_state_data("over_plotting_data", [])
def sel_source(attribute, value):
if value=="SNe Ia":
frame.set_state_data("elements", elements_sn1a)
frame.set_state_data("isotopes", isotopes_sn1a)
else:
frame.set_state_data("elements", elements_all)
frame.set_state_data("isotopes", isotopes_all)
frame.set_attributes("elem_numer", options=[])
frame.set_attributes("elem_denom", options=[])
frame.set_attributes("species", options=[])
elements = frame.get_state_data("elements")
isotopes = frame.get_state_data("isotopes")
frame.set_attributes("elem_numer", options=elements)
frame.set_attributes("elem_denom", options=elements)
if frame.get_attribute("iso_or_elem", "value")=="Isotopes":
frame.set_attributes("species", description="Isotope: ", options=isotopes)
elif frame.get_attribute("iso_or_elem", "value")=="Elements":
frame.set_attributes("species", description="Element: ", options=elements)
def sel_iso_or_elem(attribute, value):
elements = frame.get_state_data("elements")
isotopes = frame.get_state_data("isotopes")
if value=="Isotopes":
frame.set_attributes("species", description="Isotope: ", options=isotopes)
frame.set_attributes("species_mult", description="Isotope: ", options=isotopes_sel_mult)
elif value=="Elements":
frame.set_attributes("species", description="Element: ", options=elements)
frame.set_attributes("species_mult", description="Element: ", options=elements_sel_mult)
def run(widget):
styles = frame.get_state_data("styles")
styles.reset_line_count()
clear_output()
pyplot.close("all")
over_plotting = frame.get_attribute("over_plotting", "value")
source_map = {"All":"all", "AGB":"agb", "SNe Ia":"sn1a", "Massive":"massive"}
label_map = {"All":"", "AGB":", AGB", "SNe Ia":", SNIa", "Massive":", Massive"}
tot_mass_labels = {"all":"All", "agb":"AGB", "sn1a":"SNIa", "massive":"Massive"}
state = frame.get_state()
runs = frame.get_state_data("runs")
source = source_map[frame.get_attribute("source", "value")]
label_source = label_map[frame.get_attribute("source", "value")]
species = frame.get_attribute("species", "value")
no_runs = True
if state=="plot_totmasses":
plot_data = frame.get_state_data("over_plotting_data")
if not over_plotting:
plot_data = []
over_plot = [("source", source)]
if not over_plot in plot_data:
plot_data.append(over_plot)
frame.set_state_data("over_plotting_data", plot_data)
for data, name, Z, widget_name in runs:
if frame.get_attribute(widget_name, "value"):
no_runs = False
for item in plot_data:
kwargs = dict(item)
label = name + ": " + tot_mass_labels[kwargs["source"]]
kwargs.update({"label":label})
kwargs.update(styles.get_style())
data.plot_totmasses(**kwargs)
elif state=="plot_mass":
plot_data = frame.get_state_data("over_plotting_data")
if not over_plotting:
plot_data = []
over_plot = [("specie", species), ("source", source)]
if not over_plot in plot_data:
plot_data.append(over_plot)
frame.set_state_data("over_plotting_data", plot_data)
for data, name, Z, widget_name in runs:
if frame.get_attribute(widget_name, "value"):
no_runs = False
for item in plot_data:
kwargs = dict(item)
label = name + ": " + kwargs["specie"]
if not kwargs["source"] == "all":
label = label + ", " + tot_mass_labels[kwargs["source"]]
kwargs.update({"label":label})
kwargs.update(styles.get_style())
data.plot_mass(**kwargs)
elif state=="plot_spectro":
X = frame.get_attribute("elem_numer", "value")
Y = frame.get_attribute("elem_denom", "value")
yaxis = "["+X+"/"+Y+"]"
plot_data = frame.get_state_data("over_plotting_data")
if not over_plotting:
plot_data = []
over_plot = [("yaxis", yaxis), ("source", source)]
if not over_plot in plot_data:
plot_data.append(over_plot)
frame.set_state_data("over_plotting_data", plot_data)
for data, name, Z, widget_name in runs:
if frame.get_attribute(widget_name, "value"):
no_runs = False
for item in plot_data:
kwargs = dict(item)
label = name + ": " + kwargs["yaxis"] + ", " + tot_mass_labels[kwargs["source"]]
kwargs.update({"label":label})
kwargs.update(styles.get_style())
data.plot_spectro(**kwargs)
elif state=="plot_mass_range":
plot_data = frame.get_state_data("over_plotting_data")
if not over_plotting:
plot_data = []
over_plot = [("specie", species)]
if not over_plot in plot_data:
plot_data.append(over_plot)
frame.set_state_data("over_plotting_data", plot_data)
for data, name, Z, widget_name in runs:
if frame.get_attribute(widget_name, "value"):
no_runs = False
for item in plot_data:
kwargs = dict(item)
label = name + ": " + kwargs["specie"]
kwargs.update({"label":label})
kwargs.update(styles.get_style())
data.plot_mass_range_contributions(**kwargs)
if no_runs:
print "No runs selected."
frame.set_state_callbacks("clear_plot", clear_plot_handler, attribute=None, type="on_click")
frame.set_state_callbacks("plot_type", sel_plot_type)
frame.set_state_callbacks("source", sel_source, state=["plot_spectro", "plot_mass"])
frame.set_state_callbacks("iso_or_elem", sel_iso_or_elem)
frame.set_state_callbacks("plot", run, attribute=None, type="on_click")
frame.set_object("plot_page", widgets.VBox())
frame.set_object("warning_msg", widgets.HTML())
frame.set_object("plot_name", widgets.HTML())
frame.set_object("source_over_plotting_group", widgets.HBox())
frame.set_object("source", widgets.Dropdown())
frame.set_object("over_plotting", widgets.ToggleButton())
frame.set_object("clear_plot", widgets.Button())
frame.set_object("species_group", widgets.VBox())
frame.set_object("iso_or_elem", widgets.RadioButtons())
frame.set_object("species", widgets.Select())
frame.set_object("elem_numer", widgets.Select())
frame.set_object("elem_denom", widgets.Select())
frame.set_object("plot", widgets.Button())
frame.set_state_attribute("custom_imf_page", visible=True)
frame.set_state_attribute("load_save_imf_group", visible=True, **group_style)
frame.set_state_attribute("load_imf", "custom_imf", visible=True, description="Load custom IMF", **button_style)
frame.set_state_attribute("list_imfs", "load_custom_imf", visible=True, description="Select IMF")
frame.set_state_attribute("name_imf", "custom_imf", visible=True, description="IMF name", **text_box_style)
frame.set_state_attribute("save_imf", "custom_imf", visible=True, description="Save IMF", **button_style)
frame.set_state_attribute("delete_imf", "custom_imf", visible=True, description="Delete IMF", **button_style)
frame.set_state_attribute("text_imf", visible=True)
frame.set_state_attribute("test_imf", visible=True, description="Test selected IMF file", **button_style)
def load_imf_handler(widget):
frame.set_state("load_custom_imf")
options = ["", "Preset: default"] + list_custom_imf()
frame.set_attributes("list_imfs", options=options, value="", selected_label="")
def sel_custom_imf(name, value):
if value != "":
frame.set_state("custom_imf")
if value == "Preset: default":
frame.set_attributes("name_imf", value="")
frame.set_attributes("text_imf", value=default_custom_imf_text)
else:
text = ""
with open(custom_imf_dir + value + ".py", "r") as fin:
text = fin.read()
frame.set_attributes("name_imf", value=value)
frame.set_attributes("text_imf", value=text)
def save_imf_handler(widget):
clear_output()
pyplot.close("all")
imf_name = frame.get_attribute("name_imf", "value")
if imf_name == "":
print("Error: not IMF name given")
else:
if not os.path.isdir(custom_imf_dir):
os.mkdir(custom_imf_dir)
with open(custom_imf_dir + imf_name + ".py", "w") as fout:
fout.write(frame.get_attribute("text_imf", "value"))
print("Custom IMF saved to " + imf_name)
frame.set_state_attribute('imf_type', options=['salpeter', 'chabrier', 'kroupa', 'alphaimf'] + list_custom_imf())
def delete_imf_handler(widget):
clear_output()
pyplot.close("all")
imf_name = frame.get_attribute("name_imf", "value")
if imf_name == "":
print("Error: not IMF name given")
else:
if os.path.isdir(custom_imf_dir):
if os.path.isfile(custom_imf_dir + imf_name + ".py"):
os.remove(custom_imf_dir + imf_name + ".py")
frame.set_attributes("name_imf", value="")
frame.set_attributes("text_imf", value=default_custom_imf_text)
print("Custom IMF " + imf_name + " deleted.")
else:
print("Custom IMF, " + imf_name + ", not found!")
frame.set_state_attribute('imf_type', options=['salpeter', 'chabrier', 'kroupa', 'alphaimf'] + list_custom_imf())
def test_imf_handler(widget):
clear_output()
pyplot.close("all")
imf_name = frame.get_attribute("name_imf", "value")
if imf_name == "":
print("No IMF name given!")
return
try:
ci = load_source("custom_imf", custom_imf_dir + imf_name + ".py")
except IOError:
print("Failed to load " + imf_name + ", no IMF file found.")
return
mass_min = 0.0
mass_max = 30.0
xaxis = numpy.linspace(mass_min, mass_max, 1000)[1:]
yaxis = [0 for x in xaxis]
for i, x in enumerate(xaxis):
yaxis[i] = ci.custom_imf(x)
pyplot.plot(xaxis, numpy.log10(yaxis))
pyplot.title("IMF file test: " + imf_name)
pyplot.xlabel("mass [$M_{\odot}$]")
pyplot.ylabel("IMF")
pyplot.show()
frame.set_state_callbacks("load_imf", load_imf_handler, attribute=None, type="on_click")
frame.set_state_callbacks("list_imfs", sel_custom_imf)
frame.set_state_callbacks("save_imf", save_imf_handler, attribute=None, type="on_click")
frame.set_state_callbacks("delete_imf", delete_imf_handler, attribute=None, type="on_click")
frame.set_state_callbacks("test_imf", test_imf_handler, attribute=None, type="on_click")
frame.set_object("custom_imf_page", widgets.VBox())
frame.set_object("load_save_imf_group", widgets.HBox())
frame.set_object("load_imf", widgets.Button())
frame.set_object("list_imfs", widgets.Dropdown())
frame.set_object("name_imf", widgets.Text())
frame.set_object("save_imf", widgets.Button())
frame.set_object("delete_imf", widgets.Button())
frame.set_object("text_imf", widgets.Textarea())
frame.set_object("test_imf", widgets.Button())
frame.set_state_attribute("get_table_page", visible=True)
frame.set_state_attribute("warning_msg", visible=True, value="<h3>Error: No simulation data!</h3>", **group_style)
frame.set_state_attribute("warning_msg", states_plot, visible=False)
frame.set_state_attribute("species_mult_group", states_sim_plot, visible=True, **group_style)
frame.set_state_attribute("iso_or_elem", visible=True, description="species type: ", options=["Elements", "Isotopes"], selected_label="Elements")
frame.set_state_attribute("species_mult", visible=True, description="Element: ", options=elements_sel_mult, **text_box_style)
frame.set_state_attribute("get_table", states_sim_plot, visible=True, description="Get table links", **button_style)
frame.set_state_attribute("table_links", states_sim_plot, visible=True, value="", **group_style)
def species_mult_handler(name, value):
if "All" in value:
iso_or_elem = frame.get_attribute("iso_or_elem", "value")
if iso_or_elem == "Elements":
value = tuple(elements_all)
elif iso_or_elem == "Isotopes":
value = tuple(isotopes_all)
frame.set_attributes("species_mult", value=value, selected_labels=value)
frame.set_attributes("table_links", value="")
def get_table_handler(widget):
iso_or_elem = frame.get_attribute("iso_or_elem", "value")
species = list(frame.get_attribute("species_mult", "value"))
runs = frame.get_state_data("runs")
title = "<h3>Data table links:</h3>"
html = title
if not os.path.isdir("./evol_tables"):
os.mkdir("./evol_tables")
for data, name, Z, widget_name in runs:
if frame.get_attribute(widget_name, "value"):
file = "evol_tables/" + widget_name.replace("#", "") + "file"
if iso_or_elem == "Elements":
data.write_evol_table(species, [], file, "./")
elif iso_or_elem == "Isotopes":
data.write_evol_table([], species, file, "./")
html = html + "<p><a href=\"" + file + "\" target=\"_blank\" download>" + name + "</a></p>\n"
if html == title:
html = ""
print("No runs selected.")
frame.set_attributes("table_links", value=html)
clear_output()
pyplot.close("all")
frame.set_state_callbacks("species_mult", species_mult_handler)
frame.set_state_callbacks("get_table", get_table_handler, attribute=None, type="on_click")
frame.set_object("species_mult_group", widgets.VBox())
frame.set_object("species_mult", widgets.SelectMultiple())
frame.set_object("get_table_page", widgets.VBox())
frame.set_object("get_table", widgets.Button())
frame.set_object("table_links", widgets.HTML())
##start widget##
frame.display_object("window")
def start_PPM(global_namespace, local_dir="./"):
frame = framework.framework()
frame.set_default_display_style(padding="0.25em",
background_color="white",
border_color="LightGrey",
border_radius="0.5em")
frame.set_default_io_style(padding="0.25em",
margin="0.25em",
border_color="LightGrey",
border_radius="0.5em")
group_style = {
"border_style": "none",
"border_radius": "0em",
"width": "100%"
}
text_box_style = {"width": "10em"}
button_style = {"font_size": "1.25em", "font_weight": "bold"}
first_tab_style = {"border_radius": "0em 0.5em 0.5em 0.5em"}
states_plotting = ["plot_prof_time", "plot_tEkmax", "plot_vprofs", "get"]
states_loaded = ["data_loaded"] + states_plotting
states = states_loaded
frame.add_state(states)
frame.set_state_data("data_sets", [])
frame.set_state_data("data_set_count", 0)
frame.set_state_data("dir", os.path.abspath(local_dir))
frame.set_state_data("yaxis_options", [""], "plot_prof_time")
frame.set_state_data("yaxis_options", [""], "get")
frame.set_state_data("cycles", [])
frame.set_state_data("variable_name_timer", None)
def add_data_set(data, name):
data_set_count = frame.get_state_data("data_set_count")
data_sets = frame.get_state_data("data_sets")
widget_name = "data_set_widget_#" + str(data_set_count)
frame.add_io_object(widget_name)
frame.set_state_attribute(widget_name, visible=True, description=name)
frame.set_object(widget_name, widgets.Checkbox())
data_sets.append((data, name, widget_name))
frame.set_state_children("data_sets", [widget_name])
frame.set_state_data("data_sets", data_sets)
data_set_count += 1
frame.set_state_data("data_set_count", data_set_count)
def remove_data_set():
data_sets = frame.get_state_data("data_sets")
children = ["data_sets_title"]
tmp_data_sets = []
for i in xrange(len(data_sets)):
widget_name = data_sets[i][2]
if frame.get_attribute(widget_name, "value"):
frame.remove_object(widget_name)
else:
children.append(widget_name)
tmp_data_sets.append(data_sets[i])
data_sets = tmp_data_sets
frame.set_state_children("data_sets", children, append=False)
frame.set_state_data("data_sets", data_sets)
if data_sets == []:
frame.set_state()
def update_dir_bar_list():
dir = frame.get_state_data("dir")
dirs = [".", ".."] + os.listdir(dir)
frame.set_state_attribute("address_bar", value=dir)
frame.set_state_attribute("directory_list", options=dirs)
frame.add_display_object("window")
frame.add_io_object("Title")
frame.add_display_object("widget_data_set_group")
frame.add_display_object("widget")
frame.add_display_object("data_sets")
frame.add_io_object("data_sets_title")
##data page
frame.add_display_object("data_page")
frame.add_display_object("file_system_group")
frame.add_io_object("address_bar")
frame.add_io_object("directory_list")
frame.add_display_object("name_load_remove_group")
frame.add_io_object("data_set_name")
frame.add_io_object("data_set_load")
frame.add_io_object("data_set_remove")
##plotting page
frame.add_display_object("plotting_page")
frame.add_io_object("select_plot")
frame.add_io_object("plot_title")
frame.add_io_object("warning_msg")
frame.add_display_object("cycle_range_group")
frame.add_io_object("cycle")
frame.add_io_object("cycle_range")
frame.add_io_object("cycle_sparsity")
frame.add_io_object("variable_name")
frame.add_display_object("yaxis_group")
frame.add_io_object("yaxis")
frame.add_io_object("logy")
frame.add_io_object("plot")
frame.set_state_children("window", ["Title", "widget_data_set_group"])
frame.set_state_children("widget_data_set_group", ["widget", "data_sets"])
frame.set_state_children("data_sets", ["data_sets_title"])
frame.set_state_children("widget", ["data_page", "plotting_page"],
titles=["Data", "Plotting"])
frame.set_state_children("data_page",
["file_system_group", "name_load_remove_group"])
frame.set_state_children("file_system_group",
["address_bar", "directory_list"])
frame.set_state_children(
"name_load_remove_group",
["data_set_load", "data_set_remove", "data_set_name"])
frame.set_state_children("plotting_page", [
"select_plot", "warning_msg", "plot_title", "variable_name",
"cycle_range_group", "yaxis_group", "plot"
])
frame.set_state_children("cycle_range_group",
["cycle", "cycle_range", "cycle_sparsity"])
frame.set_state_children("yaxis_group", ["yaxis", "logy"])
frame.set_state_attribute("window", visible=True, **group_style)
frame.set_state_attribute("Title",
visible=True,
value="<center><h1>PPM explorer</h1></center>")
frame.set_state_attribute("widget_data_set_group",
visible=True,
**group_style)
frame.set_state_attribute("data_sets",
visible=True,
margin="3.15em 0em 0em 0em")
frame.set_state_attribute("data_sets_title",
visible=True,
value="<center><h2>Data Sets</h2></center>",
**group_style)
frame.set_state_attribute("widget", visible=True, **group_style)
frame.set_state_attribute("data_page", visible=True, **first_tab_style)
frame.set_state_attribute("file_system_group", visible=True, **group_style)
frame.set_state_attribute("address_bar", visible=True)
frame.set_state_attribute("directory_list", visible=True)
frame.set_state_attribute("name_load_remove_group",
visible=True,
**group_style)
frame.set_state_attribute("data_set_name",
visible=True,
description="Data set name:",
placeholder="Enter name",
**text_box_style)
frame.set_state_attribute("data_set_load",
visible=True,
description="Load data set",
**button_style)
frame.set_state_attribute("data_set_remove",
visible=True,
description="Remove data set",
**button_style)
def address_bar_handler(widget):
dir = frame.get_attribute("address_bar", "value")
if os.path.isdir(dir):
dir = os.path.abspath(dir)
frame.set_state_data("dir", dir)
update_dir_bar_list()
frame.update()
frame.set_attributes("address_bar", value=dir)
frame.set_attributes("directory_list",
value=".",
selected_label=u".")
def directory_list_handler(name, value):
dir = frame.get_state_data("dir")
dir = dir + "/" + frame.get_attribute("directory_list", "value")
if os.path.isdir(dir):
dir = os.path.abspath(dir)
frame.set_state_data("dir", dir)
update_dir_bar_list()
frame.update()
frame.set_attributes("address_bar", value=dir)
frame.set_attributes("directory_list",
value=".",
selected_label=u".")
def data_set_load_handler(widget):
clear_output()
pyplot.close("all")
dir = frame.get_attribute("address_bar", "value")
data_set_count = frame.get_state_data("data_set_count")
name = frame.get_attribute("data_set_name", "value")
if name == "":
name = "Data set - " + "%03d" % (data_set_count + 1, )
data = ppm.yprofile(dir)
if data.files != []:
frame.set_state("data_loaded")
old_cycs = frame.get_state_data("cycles")
cycs = data.cycles
cycs = list(set(cycs) | set(old_cycs))
cycs.sort()
frame.set_state_data("cycles", cycs)
frame.set_state_data("yaxis_options", data.dcols, "plot_prof_time")
frame.set_state_data("yaxis_options", data.dcols + data.cattrs,
"get")
frame.set_state_attribute("cycle",
min=cycs[0],
max=cycs[-1],
value=cycs[-1])
frame.set_state_attribute("cycle_range",
min=cycs[0],
max=cycs[-1],
value=(cycs[0], cycs[-1]))
add_data_set(data, name)
frame.update()
def data_set_remove_handler(widget):
remove_data_set()
frame.update()
frame.set_state_callbacks("address_bar",
address_bar_handler,
attribute=None,
type="on_submit")
frame.set_state_callbacks("directory_list", directory_list_handler)
frame.set_state_callbacks("data_set_load",
data_set_load_handler,
attribute=None,
type="on_click")
frame.set_state_callbacks("data_set_remove",
data_set_remove_handler,
attribute=None,
type="on_click")
frame.set_object("window", widgets.Box())
frame.set_object("Title", widgets.HTML())
frame.set_object("widget_data_set_group", widgets.HBox())
frame.set_object("widget", widgets.Tab())
frame.set_object("data_sets", widgets.VBox())
frame.set_object("data_sets_title", widgets.HTML())
frame.set_object("data_page", widgets.VBox())
frame.set_object("file_system_group", widgets.VBox())
frame.set_object("address_bar", widgets.Text())
frame.set_object("directory_list", widgets.Select())
frame.set_object("name_load_remove_group", widgets.HBox())
frame.set_object("data_set_name", widgets.Text())
frame.set_object("data_set_load", widgets.Button())
frame.set_object("data_set_remove", widgets.Button())
frame.set_state_attribute("plotting_page", visible=True)
frame.set_state_attribute("select_plot",
states_loaded,
visible=True,
options={
"": "data_loaded",
"Profile time": "plot_prof_time",
"Velocity Profile": "plot_vprofs",
"tEkmax": "plot_tEkmax",
"Get Data": "get"
})
frame.set_state_attribute("warning_msg",
visible=True,
value="<h3>No data sets loaded!</h3>",
**group_style)
frame.set_state_attribute("warning_msg",
"data_loaded",
value="<h3>Select plot.</h3>")
frame.set_state_attribute("warning_msg", states_plotting, visible=False)
frame.set_state_attribute("plot_title", visible=False, **group_style)
frame.set_state_attribute("plot_title",
"plot_prof_time",
visible=True,
value="<h3>Prof_time</h3>")
frame.set_state_attribute("plot_title",
"plot_vprofs",
visible=True,
value="<h3>Plot Velocity Profiles</h3>")
frame.set_state_attribute("plot_title",
"plot_tEkmax",
visible=True,
value="<h3>tEkmax</h3>")
frame.set_state_attribute("plot_title",
"get",
visible=True,
value="<h3>Get Data</h3>")
frame.set_state_attribute("variable_name",
"get",
visible=True,
description="Variable name:",
placeholder="Enter name.",
**text_box_style)
frame.set_state_attribute("cycle_range_group",
["plot_prof_time", "plot_vprofs", "get"],
visible=True,
**group_style)
frame.set_state_attribute("cycle",
"get",
visible=True,
description="Cycle:")
frame.set_state_attribute("cycle_range", ["plot_prof_time", "plot_vprofs"],
visible=True,
description="Cycle range:")
frame.set_state_attribute("cycle_sparsity",
["plot_prof_time", "plot_vprofs"],
visible=True,
description="Cycle sparsity",
value=1)
frame.set_state_attribute("yaxis_group",
["plot_prof_time", "plot_vprofs", "get"],
visible=True,
**group_style)
frame.set_state_attribute("yaxis", ["plot_prof_time", "get"],
visible=True,
description="Yaxis:",
options=[""])
frame.set_state_attribute("logy", ["plot_prof_time", "plot_vprofs"],
visible=True,
description="Log Y axis:")
frame.set_state_attribute("plot",
states_loaded,
visible=True,
description="Generate Plot",
**button_style)
frame.set_state_attribute("plot", "get", description="Get Data")
def variable_name_full_validation(value):
frame.set_attributes("variable_name",
value=token_text(value, strict=True))
frame.set_state_data("variable_name_timer", None)
def variable_name_handler(name, value):
value = token_text(value)
frame.set_attributes("variable_name", value=value)
timer = frame.get_state_data("variable_name_timer")
if (value != token_text(value, strict=True)):
if timer != None:
timer.cancel()
timer = threading.Timer(1.0,
variable_name_full_validation,
kwargs={"value": value})
timer.start()
else:
if timer != None:
timer.cancel()
timer = None
frame.set_state_data("variable_name_timer", timer)
def select_plot_handler(name, value):
if value in ["plot_prof_time", "get"]:
frame.set_state_attribute("yaxis",
value,
options=frame.get_state_data(
"yaxis_options", value))
frame.set_state(value)
def plot_handler(widget):
clear_output()
pyplot.close("all")
state = frame.get_state()
data_sets = frame.get_state_data("data_sets")
variable_name = frame.get_attribute("variable_name", "value")
cycle = frame.get_attribute("cycle", "value")
cycle_min, cycle_max = frame.get_attribute("cycle_range", "value")
cycle_sparsity = int(frame.get_attribute("cycle_sparsity", "value"))
if state in ["plot_prof_time", "plot_vprofs"]:
cycles = range(cycle_min, cycle_max, cycle_sparsity)
yaxis = frame.get_attribute("yaxis", "value")
logy = frame.get_attribute("logy", "value")
no_runs = True
if state == "plot_prof_time":
for data, name, widget_name in data_sets:
if frame.get_attribute(widget_name, "value"):
cycs = data.cycles
cycs = list(set(cycs) & set(cycles))
cycs.sort()
no_runs = False
data.prof_time(cycs, yaxis_thing=yaxis, logy=logy)
elif state == "plot_vprofs":
for data, name, widget_name in data_sets:
if frame.get_attribute(widget_name, "value"):
cycs = data.cycles
cycs = list(set(cycs) & set(cycles))
cycs.sort()
no_runs = False
data.vprofs(cycs, log_logic=logy)
elif state == "plot_tEkmax":
i = 0
for data, name, widget_name in data_sets:
if frame.get_attribute(widget_name, "value"):
no_runs = False
data.tEkmax(ifig=1, label=name, id=i)
i += 1
elif state == "get":
data_out = []
i = 0
for data, name, widget_name in data_sets:
if frame.get_attribute(widget_name, "value"):
if cycle in data.cycles:
i += 1
no_runs = False
if yaxis in data.cattrs:
data_out.append(data.get(attri=yaxis))
else:
data_out.append(data.get(attri=yaxis, fname=cycle))
else:
print("cycle out of range for " + name)
if data_out != []:
if i == 1:
data_out = data_out[0]
if variable_name == "":
print("No variable name.")
else:
global_namespace[variable_name] = data_out
print(
"\nThe selected data is now loaded into the global namespace under the variable name \""
+ variable_name + "\".")
if no_runs:
print "No data sets selected."
frame.set_state_callbacks("variable_name", variable_name_handler)
frame.set_state_callbacks("select_plot", select_plot_handler)
frame.set_state_callbacks("plot",
plot_handler,
attribute=None,
type="on_click")
frame.set_object("plotting_page", widgets.VBox())
frame.set_object("select_plot", widgets.Dropdown())
frame.set_object("warning_msg", widgets.HTML())
frame.set_object("plot_title", widgets.HTML())
frame.set_object("variable_name", widgets.Text())
frame.set_object("cycle_range_group", widgets.HBox())
frame.set_object("cycle", widgets.IntSlider())
frame.set_object("cycle_range", widgets.IntRangeSlider())
frame.set_object("cycle_sparsity", widgets.IntText())
frame.set_object("yaxis_group", widgets.HBox())
frame.set_object("yaxis", widgets.Select())
frame.set_object("logy", widgets.Checkbox())
frame.set_object("plot", widgets.Button())
update_dir_bar_list()
frame.display_object("window")