`wolfhece.pybridges`

Author: HECE - University of Liege, Pierre Archambeau Date: 2024

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Module Contents

class wolfhece.pybridges.stored_values_unk[source]

Bases: enum.Enum

Inheritance diagram of wolfhece.pybridges.stored_values_unk

Generic enumeration.

Derive from this class to define new enumerations.

WATERDEPTH = (0,)[source]

QX = (1,)[source]

QY = (2,)[source]

UX = (3,)[source]

UY = (4,)[source]

UNORM = (5,)[source]

FROUDE = (6,)[source]

WATERLEVEL = (7,)[source]

WATERSTAGE = (7,)[source]

TOPOGRAPHY = (8,)[source]

HEAD = ()[source]

DIFFERENCE_Z_UP_DOWN = ()[source]

DIFFERENCE_HEAD_UP_DOWN = ()[source]

class wolfhece.pybridges.stored_values_pos[source]

Bases: enum.Enum

Inheritance diagram of wolfhece.pybridges.stored_values_pos

Generic enumeration.

Derive from this class to define new enumerations.

INDICE_I = (0, 'Indice i')[source]

INDICE_J = (1, 'Indice j')[source]

NUM_BLOCK = (2, 'Block')[source]

class wolfhece.pybridges.stored_values_coords[source]

Bases: enum.Enum

Inheritance diagram of wolfhece.pybridges.stored_values_coords

Generic enumeration.

Derive from this class to define new enumerations.

X = (0, 'CoordX')[source]

Y = (1, 'CoordY')[source]

class wolfhece.pybridges.zones_in_file[source]

Bases: enum.Enum

Inheritance diagram of wolfhece.pybridges.zones_in_file

Generic enumeration.

Derive from this class to define new enumerations.

PARTS = '3 zones'[source]

RIVER = 'entier'[source]

SECTION = 'section'[source]

class wolfhece.pybridges.operators[source]

Bases: enum.Enum

Inheritance diagram of wolfhece.pybridges.operators

Generic enumeration.

Derive from this class to define new enumerations.

MEDIAN = 'median'[source]

MIN = 'min'[source]

MAX = 'max'[source]

PERCENTILE5 = 'p5'[source]

PERCENTILE95 = 'p95'[source]

ALL = 'all'[source]

class wolfhece.pybridges.parts_values[source]

Bases: enum.Enum

Inheritance diagram of wolfhece.pybridges.parts_values

Generic enumeration.

Derive from this class to define new enumerations.

CENTRAL[source]

UPSTREAM[source]

DOWNSTREAM[source]

class wolfhece.pybridges.Bridge(myfile='', ds: float = 5.0, ox: float = 0, oy: float = 0, tx: float = 0, ty: float = 0, parent=None, is2D=True, wx_exists: bool = False)[source]

Bases: wolfhece.PyVertexvectors.Zones

Inheritance diagram of wolfhece.pybridges.Bridge

Bridge class

Representation :

Downstream

——- | | | | down | | | | ——- | | | | cent | | | | ——- | | | | up | | | | ——-

/ Upstream

Enumeration of vertices :

^ ^ ^

3——-2 0——-3 1——-2 | | | | | | | | | | cent | | upst | | down | | | | | | | | | | 0——-1 1——-2 0——-3

^ ^ ^

curvi = 0[source]: Si certaines parties ne sont pas attribuées, il peut s’agir d’une mauvaise appellation. Dans ce cas, on attribue sur base de la position dans la zone

colorize()[source]: Colorisation des polygones pour l’interface graphique

get_distance(x: float, y: float)[source]: Compute the distance in-between x,y and the center of the deck

highlighting(rgb=(255, 0, 0), linewidth=3)[source]: Mise en évidence

withdrawal()[source]: Mise en retrait

compute_distance(poly: shapely.geometry.LineString)[source]: Compute the curvilinear distance along a support polyline

plot()[source]: Plot into GUI

find_values_inside_parts(linked_arrays)[source]

Récupère les valeurs à l’intérieur :

des parties du pont (amont, centrale, aval)
de la discrétisation rivière en polygones

Retour :

dictionnaire dont la clé est le nom (ou l’index) du polygone dans la zone –> parties centrale, amont ou aval
chaque entrée est un dictionnaire dont la clé ‘values’ contient un dictionnaire pour chaque matrice du projet
chaque élément de ce sous-dictionnaire est un tuple contenant toutes les valeurs utiles

ATTENTION : si linked_arrays est un dictionnaire, alors un niveau supérieur est ajouté sur base des clés de ce dictionnaire, dans ce cas, self.linked est un dict et non une liste

get_diff(which_value=Literal[stored_values_unk.DIFFERENCE_Z_UP_DOWN, stored_values_unk.DIFFERENCE_HEAD_UP_DOWN], operator: operators = operators.MEDIAN, which_group=None)[source]: Compute Head or Elevation differences

_get_heads(which_part: parts_values, which_group=None)[source]: Compute Head

_get_river_heads(which_group=None)[source]: Compute Head

get_values(which_part: parts_values, which_value: stored_values_unk | stored_values_pos, which_group=None) → dict[source]

Get values for a specific part

La donnée retournée est un dictionnaire –> dépend du typage de “self.linked” (cf “find_values_inside_parts)” pour plus d’infos)

Soit il n’y a qu’un projet à traiter –> le dictionnaire reprend les différentes valeurs pour chaque matrice/simulation du projet Soit il y a plusiuers projets à traiter –> le dictionnaire contient autant d’entrées que de projet et chaque sous-dictionnaire reprend les différentes valeurs pour chaque matrice/simulation du projet

get_river_values(which_value: stored_values_unk | stored_values_pos, which_group=None) → dict[source]

Get values for the river polygons

La donnée retournée est un dictionnaire –> dépend du typage de “self.linked” (cf “find_values_inside_parts)” pour plus d’infos)

Soit il n’y a qu’un projet à traiter –> le dictionnaire contient une entrée pour chaque polygone et les différentes valeurs pour chaque matrice/simulation du projet dans chaque polygone Soit il y a plusiuers projets à traiter –> le dictionnaire contient autant d’entrées que de projet et chaque sous-dictionnaire reprend les différentes valeurs comme ci-dessus

get_values_op(which_part: parts_values, which_value: stored_values_unk | stored_values_pos, which_group=None, operator: operators = operators.MEDIAN) → dict[source]

get_river_values_op(which_value: stored_values_unk | stored_values_pos, which_group=None, operator: operators = operators.MEDIAN) → dict[source]

plot_unk(figax=None, which_value: stored_values_unk | stored_values_pos = stored_values_unk.WATERLEVEL, which_group=None, operator: operators = operators.MEDIAN, options: dict = None, label=True, show=False)[source]

plot_waterline(figax=None, which_group=None, operator: operators = operators.MEDIAN, show=False)[source]

plot_waterhead(figax=None, which_group=None, operator: operators = operators.MEDIAN, show=False)[source]

plot_deck(ax, width, height, lower_level)[source]

class wolfhece.pybridges.Bridges(directory: str, idx: str = '', plotted: bool = True, mapviewer=None, need_for_wx: bool = False)[source]

Bases: wolfhece.drawing_obj.Element_To_Draw

Inheritance diagram of wolfhece.pybridges.Bridges

Base class of element to add into WolfMapViewer or another GUI

plot(sx=None, sy=None, xmin=None, ymin=None, xmax=None, ymax=None, size=None)[source]: Plot elements inside PyDraw

find_minmax(update=False)[source]: Find Min and Max for graphical/GUI needs

_get_list(site) → list[Bridge][source]

get_elts(site) → list[Bridge][source]

find_nearest(x: float, y: float, site: str = None) → Bridge[source]

Find the nearest bridge

site : (optional) key name of a site

find_inside_poly(poly: wolfhece.PyVertexvectors.vector) → list[source]: Find bridges inside polygon/vector

select_inside_contour(contours: wolfhece.PyVertexvectors.Zones)[source]

Sort bridges inside “contour” stored in multiple zones

Fill-in dict “self.sites” with key names based on names of zones

compute_distances(poly: wolfhece.PyVertexvectors.vector, site: str = None)[source]

Compute the curvilinear distance along a support polyline

site : (optional) key name of a site

get_curvis(site: str = None) → list[source]: Crée une liste contenant les coordonnées curviligne des ponts

get_centralparts(site: str = None) → wolfhece.PyVertexvectors.zone[source]: Crée une nouvelle zone avec tous les tabliers de ponts

get_upstreams(site: str = None) → wolfhece.PyVertexvectors.zone[source]: Crée une nouvelle zone avec tous les zones amont de ponts

get_downstreams(site: str = None) → wolfhece.PyVertexvectors.zone[source]: Crée une nouvelle zone avec tous les zones aval de ponts

find_values_inside_parts(linked_arrays, site: str = None)[source]

Récupère les valeurs à l’intérieur des parties du pont

Stockage dans chaque ouvrage On retient par contre dans l’objet courant les clés des matrices sur lesquelles on travaille –> keys_values

get_values(which_part: parts_values, which_value: stored_values_unk | stored_values_pos, which_group=None, site: str = None) → dict[source]

get_diff(which_value, which_group=None, operator: operators = operators.MEDIAN, site: str = None) → dict[source]

get_river_values(which_value: stored_values_unk | stored_values_pos, which_group=None, site: str = None) → dict[source]

plot_landmarks(landmarks, s_landmarks, ax, ypos, plot_text=True)[source]

plot_group(which_part: parts_values = None, which_value: stored_values_unk | stored_values_pos = None, which_group=None, operator: operators = operators.MEDIAN, options: dict = None, fig=None, ax=None, ybounds=None, site: str = None, show=True)[source]

plot_part_vs_part_group(which_parts: list = None, which_value: stored_values_unk | stored_values_pos = None, which_group=None, operator: operators = operators.MEDIAN, options: dict = None, fig=None, ax=None, ybounds=None, site: str = None, show=True)[source]

plot_part_group_vs_group(which_part: parts_values = None, which_value: stored_values_unk | stored_values_pos = None, which_groups: list = None, operator: operators = operators.MEDIAN, options: dict = None, fig=None, ax=None, ybounds=None, site: str = None, show=True)[source]

plot_all_groups(which_part: parts_values = None, which_value: stored_values_unk | stored_values_pos = None, operator: operators = operators.MEDIAN, options: dict = None, fig=None, ax=None, ybounds=None, site: str = None, show=True)[source]: Graphique de toutes les valeurs associées aux éléments

plot_vs_all_groups(which_part_source: parts_values = None, which_value: stored_values_unk | stored_values_pos = None, operator: operators = operators.MEDIAN, options: dict = None, fig=None, ax=None, ybounds=None, site: str = None, show=True)[source]: Graphique de toutes les valeurs associées aux éléments

plot_all_vs_groups(which_part: parts_values = None, which_value: stored_values_unk | stored_values_pos = None, which_group_source=None, operator: operators = operators.MEDIAN, options: dict = None, fig=None, ax=None, ybounds=None, site: str = None, show=True)[source]: Graphique de toutes les valeurs associées aux éléments

class wolfhece.pybridges.Weir(myfile='', ds: float = 5, ox: float = 0, oy: float = 0, tx: float = 0, ty: float = 0, parent=None, is2D=True, wx_exists: bool = False)[source]