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the-stack-dedup-python-filtered-docstrings-gpt2

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"""This module creates a Pygame surface from a source surface that has "end caps" on its corners. The caps remain unscaled in the destination surface and the rest is scaled/tiled. This was inspired by Android's NinePatch and iOS' resizableImageWithCapInsets """ import pygame AUTHOR = 'Brian Hammond <[email protected]>' LICENSE = 'MIT' COPYRIGHT = 'Copyright (C) 2012 Fictorial LLC' __version__ = '1.0.0' def resize_with_caps(src, dst_size, cap_insets=None, grow='scale'): """Stretch nine-grid source surface to surface of desired size. src The source surface. dst_size The destination surface size (width, height). If height is 0 maintains aspect ratio of source surface. cap_insets The size of each of the 4 end caps (left, top, right, bottom). If None, the left and right end caps are taken as 1/2 the source surface width; and, the top and bottom end caps are taken as 1/2 the source surface height. In this case it's expected that the center stretchy part is 1x1 pixel. grow The method used to grow portions of the source image that are not end caps. The default is 'scale' which means the relevant source surface portions are scaled before being copied to the destination surface. The other option is 'tile' which instead tiles the relevant source surface portions into the destination surface. Source and destination surfaces are laid out as follows. A B C D E F G H I A, C, G, and I are the end caps; B and H stretch horizontally; D and F stretch vertically; and E stretches in both directions. Returns the destination surface. """ # s:source, d:destination, # c:cap, m:middle/stretchable portion # l:left, t:top, b:bottom, r:right # w:width, h:height sw, sh = src.get_size() if cap_insets is None: assert sw % 2 == 1 and sh % 2 == 1 cl, cr = sw // 2 ct, cb = sh // 2 else: cl, ct, cr, cb = cap_insets dw, dh = dst_size if dh == 0: dh = int(sh * dw / float(sw)) dst = pygame.surface.Surface((dw, dh), pygame.SRCALPHA, 32) smw = sw - cl - cr smh = sh - cb - ct dmw = dw - cl - cr dmh = dh - cb - ct r = pygame.Rect # render caps: A, C, G, I in that order dst.blit(src, r(0, 0, cl, ct), r(0, 0, cl, ct)) dst.blit(src, r(dw - cr, 0, cr, ct), r(sw - cr, 0, cr, ct)) dst.blit(src, r(0, dh - cb, cl, cb), r(0, sh - cb, cl, cb)) dst.blit(src, r(dw - cr, dh - cb, cr, cb), r(sw - cr, sh - cb, cr, cb)) # extract subsurfaces from src for growable portions B = src.subsurface(r(cl, 0, smw, ct)) D = src.subsurface(r(0, ct, cl, smh)) E = src.subsurface(r(cl, ct, smw, smh)) F = src.subsurface(r(sw - cr, ct, cr, smh)) H = src.subsurface(r(cl, sh - cb, smw, cb)) if grow == 'scale' or grow == 'stretch': sc = pygame.transform.smoothscale dst.blit(sc(B, (dmw, ct)), (cl, 0)) dst.blit(sc(D, (cl, dmh)), (0, ct)) dst.blit(sc(E, (dmw, dmh)), (cl, ct)) dst.blit(sc(F, (cr, dmh)), (dw - cr, ct)) dst.blit(sc(H, (dmw, cb)), (cl, dh - cb)) elif grow == 'tile': n_across = dmw // smw rem_px_across = dmw - n_across * smw n_down = dmh // smh rem_px_down = dmh - n_down * smh render_across(B, 0, ct) render_across(H, dh - smh, cb) render_down(D, 0, cl) render_down(F, dw - smw, cr) y = ct for i in range(int(n_down)): render_across(E, y, smh) y += smh if rem_px_down > 0: x = cl for i in range(int(n_across)): dst.blit(E, (x, y), r(0, 0, smw, rem_px_down)) x += smw if rem_px_across > 0: dst.blit(E, (x, y), r(0, 0, rem_px_across, rem_px_down)) return dst if __name__ == '__main__': pygame.init() screen = pygame.display.set_mode((640, 800)) title = 'L: sources; R: stretch, tile, tile w/ leftovers, stretched button' pygame.display.set_caption(title) template = pygame.image.load('template.png').convert_alpha() template_cap_insets = (24, 24, 24, 24) template_tiled = resize_with_caps(template, (24 * 15, 24 * 9), template_cap_insets, 'tile') template_tiled1 = resize_with_caps(template, (24 * 7 + 4, 24 * 6 + 6), template_cap_insets, 'tile') template_stretched = resize_with_caps(template, (24 * 15, 24 * 9), template_cap_insets, 'stretch') #button = pygame.image.load('button.png').convert_alpha() #button_stretched = resize_with_caps(button, (450, 120), (10, 9), 'scale') button = pygame.image.load('textfield.png').convert_alpha() button_cap_insets = (1, 6, 1, 4) button_stretched = resize_with_caps(button, (450, 120), button_cap_insets, 'scale') clock = pygame.time.Clock() running = True while running: dt = clock.tick(4) / 1000.0 for event in pygame.event.get(): if event.type == pygame.QUIT: running = False if event.type == pygame.KEYDOWN and event.key == pygame.K_ESCAPE: running = False if not running: break screen.fill((255, 255, 255)) screen.blit(template, (10, 10)) screen.blit(template_stretched, (150, 10)) screen.blit(template_tiled, (150, 24 * 9 + 20)) screen.blit(template_tiled1, (150, 2 * 24 * 9 + 30)) screen.blit(button, (10, 640)) screen.blit(button_stretched, (150, 640)) pygame.display.flip()
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import psycopg2 #insert("Water Glass", 10, 5) #delete("Wine Glass") #update(12,6,"Water Glass") #print(view()) #create_table() #insert("Orange",10,15) delete("Orange") print(view())
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2.619718
71
# nuScenes dev-kit. # Code written by Holger Caesar, 2018. from typing import List, Dict, Any import numpy as np from pyquaternion import Quaternion from nuscenes.eval.common.data_classes import EvalBox from nuscenes.utils.data_classes import Box DetectionBox = Any # Workaround as direct imports lead to cyclic dependencies. def center_distance(gt_box: EvalBox, pred_box: EvalBox) -> float: """ L2 distance between the box centers (xy only). :param gt_box: GT annotation sample. :param pred_box: Predicted sample. :return: L2 distance. """ return np.linalg.norm(np.array(pred_box.translation[:2]) - np.array(gt_box.translation[:2])) def velocity_l2(gt_box: EvalBox, pred_box: EvalBox) -> float: """ L2 distance between the velocity vectors (xy only). If the predicted velocities are nan, we return inf, which is subsequently clipped to 1. :param gt_box: GT annotation sample. :param pred_box: Predicted sample. :return: L2 distance. """ return np.linalg.norm(np.array(pred_box.velocity) - np.array(gt_box.velocity)) def yaw_diff(gt_box: EvalBox, eval_box: EvalBox, period: float = 2*np.pi) -> float: """ Returns the yaw angle difference between the orientation of two boxes. :param gt_box: Ground truth box. :param eval_box: Predicted box. :param period: Periodicity in radians for assessing angle difference. :return: Yaw angle difference in radians in [0, pi]. """ yaw_gt = quaternion_yaw(Quaternion(gt_box.rotation)) yaw_est = quaternion_yaw(Quaternion(eval_box.rotation)) return abs(angle_diff(yaw_gt, yaw_est, period)) def angle_diff(x: float, y: float, period: float): """ Get the smallest angle difference between 2 angles: the angle from y to x. :param x: To angle. :param y: From angle. :param period: Periodicity in radians for assessing angle difference. :return: <float>. Signed smallest between-angle difference in range (-pi, pi). """ # calculate angle difference, modulo to [0, 2*pi] diff = (x - y + period / 2) % period - period / 2 if diff > np.pi: diff = diff - (2 * np.pi) # shift (pi, 2*pi] to (-pi, 0] return diff def attr_acc(gt_box: DetectionBox, pred_box: DetectionBox) -> float: """ Computes the classification accuracy for the attribute of this class (if any). If the GT class has no attributes or the annotation is missing attributes, we assign an accuracy of nan, which is ignored later on. :param gt_box: GT annotation sample. :param pred_box: Predicted sample. :return: Attribute classification accuracy (0 or 1) or nan if GT annotation does not have any attributes. """ if gt_box.attribute_name == '': # If the class does not have attributes or this particular sample is missing attributes, return nan, which is # ignored later. Note that about 0.4% of the sample_annotations have no attributes, although they should. acc = np.nan else: # Check that label is correct. acc = float(gt_box.attribute_name == pred_box.attribute_name) return acc def scale_iou(sample_annotation: EvalBox, sample_result: EvalBox) -> float: """ This method compares predictions to the ground truth in terms of scale. It is equivalent to intersection over union (IOU) between the two boxes in 3D, if we assume that the boxes are aligned, i.e. translation and rotation are considered identical. :param sample_annotation: GT annotation sample. :param sample_result: Predicted sample. :return: Scale IOU. """ # Validate inputs. sa_size = np.array(sample_annotation.size) sr_size = np.array(sample_result.size) assert all(sa_size > 0), 'Error: sample_annotation sizes must be >0.' assert all(sr_size > 0), 'Error: sample_result sizes must be >0.' # Compute IOU. min_wlh = np.minimum(sa_size, sr_size) volume_annotation = np.prod(sa_size) volume_result = np.prod(sr_size) intersection = np.prod(min_wlh) # type: float union = volume_annotation + volume_result - intersection # type: float iou = intersection / union return iou def quaternion_yaw(q: Quaternion) -> float: """ Calculate the yaw angle from a quaternion. Note that this only works for a quaternion that represents a box in lidar or global coordinate frame. It does not work for a box in the camera frame. :param q: Quaternion of interest. :return: Yaw angle in radians. """ # Project into xy plane. v = np.dot(q.rotation_matrix, np.array([1, 0, 0])) # Measure yaw using arctan. yaw = np.arctan2(v[1], v[0]) return yaw def boxes_to_sensor(boxes: List[EvalBox], pose_record: Dict, cs_record: Dict): """ Map boxes from global coordinates to the vehicle's sensor coordinate system. :param boxes: The boxes in global coordinates. :param pose_record: The pose record of the vehicle at the current timestamp. :param cs_record: The calibrated sensor record of the sensor. :return: The transformed boxes. """ boxes_out = [] for box in boxes: # Create Box instance. box = Box(box.translation, box.size, Quaternion(box.rotation)) # Move box to ego vehicle coord system. box.translate(-np.array(pose_record['translation'])) box.rotate(Quaternion(pose_record['rotation']).inverse) # Move box to sensor coord system. box.translate(-np.array(cs_record['translation'])) box.rotate(Quaternion(cs_record['rotation']).inverse) boxes_out.append(box) return boxes_out def cummean(x: np.array) -> np.array: """ Computes the cumulative mean up to each position in a NaN sensitive way - If all values are NaN return an array of ones. - If some values are NaN, accumulate arrays discording those entries. """ if sum(np.isnan(x)) == len(x): # Is all numbers in array are NaN's. return np.ones(len(x)) # If all errors are NaN set to error to 1 for all operating points. else: # Accumulate in a nan-aware manner. sum_vals = np.nancumsum(x.astype(float)) # Cumulative sum ignoring nans. count_vals = np.cumsum(~np.isnan(x)) # Number of non-nans up to each position. return np.divide(sum_vals, count_vals, out=np.zeros_like(sum_vals), where=count_vals != 0)
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# parsetab.py # This file is automatically generated. Do not edit. _tabversion = '3.2' _lr_method = 'LALR' _lr_signature = 'l\x16\x9efz%\xc1\x8b\xa8O\x02{\x0b\xd1qJ' _lr_action_items = 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_lr_action = { } for _k, _v in _lr_action_items.items(): for _x,_y in zip(_v[0],_v[1]): if not _x in _lr_action: _lr_action[_x] = { } _lr_action[_x][_k] = _y del _lr_action_items _lr_goto_items = {'decl':([0,1,278,311,],[1,1,1,1,]),'obj_decl':([0,1,167,172,224,225,230,235,278,311,],[2,2,225,233,225,225,233,233,2,2,]),'statements':([122,187,221,337,344,360,363,365,373,],[178,254,269,350,355,366,369,372,375,]),'type_enums':([223,274,],[273,310,]),'pairsx':([51,124,],[76,183,]),'type_members':([172,230,235,],[234,280,287,]),'statements_inner':([179,247,],[244,296,]),'enumeration':([54,88,89,91,98,103,105,133,143,145,146,147,148,150,151,152,153,154,155,156,157,158,159,179,243,247,262,264,265,267,298,300,314,329,361,],[93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,336,93,93,]),'file':([0,],[6,]),'type_state':([231,283,],[283,283,]),'type_member':([172,230,235,],[235,235,235,]),'aexpr':([54,88,89,91,98,103,105,133,143,145,146,147,148,150,151,152,153,154,155,156,157,158,159,179,243,247,262,264,265,267,298,300,329,361,],[87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,]),'param':([53,57,125,],[78,78,78,]),'literal':([54,88,89,91,98,103,105,133,143,145,146,147,148,150,151,152,153,154,155,156,157,158,159,179,243,247,262,264,265,267,298,300,329,361,],[97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,]),'params':([53,57,125,],[79,106,184,]),'statement':([179,247,],[247,247,]),'var':([54,88,89,91,98,103,105,131,133,139,143,145,146,147,148,150,151,152,153,154,155,156,157,158,159,177,179,232,243,247,262,264,265,267,291,294,295,297,298,300,301,329,343,361,],[94,94,94,94,94,94,94,195,94,202,94,94,94,94,94,94,94,94,94,94,94,94,94,94,94,241,94,285,94,94,94,94,94,94,320,322,323,324,94,94,327,94,354,94,]),'if_statement':([179,247,363,],[248,248,370,]),'type':([0,1,28,36,38,41,42,53,54,57,71,86,88,89,91,98,103,105,114,125,129,133,137,143,145,146,147,148,150,151,152,153,154,155,156,157,158,159,167,172,179,224,225,230,235,243,247,262,264,265,267,278,298,300,311,329,340,342,361,],[11,11,44,58,60,63,64,81,95,81,121,132,95,95,95,95,95,95,171,185,191,95,200,95,95,95,95,95,95,95,95,95,95,95,95,95,95,95,227,11,95,227,227,11,11,95,95,95,95,95,95,11,95,95,11,95,351,353,95,]),'empty':([0,1,32,44,47,49,53,55,57,58,59,60,63,64,68,117,119,125,126,129,130,133,143,163,164,167,172,223,224,225,230,231,235,241,262,264,267,272,274,278,279,283,285,311,336,351,],[12,12,52,52,70,52,80,52,80,52,52,52,52,52,70,70,70,186,52,192,52,196,196,52,52,228,236,275,228,228,236,284,236,52,196,196,196,52,275,12,52,284,52,12,52,52,]),'declsx':([0,1,278,311,],[13,27,13,13,]),'func_decl':([0,1,172,230,235,278,311,],[7,7,237,237,237,7,7,]),'func_def':([0,1,172,230,235,278,311,],[15,15,238,238,238,15,15,]),'idents':([29,37,67,173,239,289,318,],[46,59,116,239,288,318,338,]),'void':([0,1,172,230,235,278,311,],[16,16,16,16,16,16,16,]),'identx':([47,68,117,119,],[69,118,175,176,]),'type_states':([231,283,],[282,316,]),'pair':([51,124,],[77,77,]),'type_enum':([223,274,],[274,274,]),'typestr':([0,1,28,36,38,41,42,53,54,57,71,86,88,89,91,98,103,105,114,125,129,133,137,143,145,146,147,148,150,151,152,153,154,155,156,157,158,159,167,172,179,224,225,230,235,243,247,262,264,265,267,278,298,300,311,329,340,342,361,],[20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,]),'types':([53,57,129,],[82,107,190,]),'pairs':([32,44,49,55,58,59,60,63,64,126,130,163,164,241,272,279,285,336,351,],[50,66,72,104,108,109,111,112,113,187,193,221,222,290,308,50,317,349,359,]),'ident':([0,1,11,16,28,29,30,31,33,36,37,38,39,41,42,43,47,51,53,54,57,67,68,71,81,86,88,89,91,95,98,103,105,114,117,119,123,124,125,128,129,131,133,134,137,139,141,143,144,145,146,147,148,150,151,152,153,154,155,156,157,158,159,167,172,173,174,177,179,185,223,224,225,227,230,231,232,235,239,243,247,262,264,265,267,274,278,283,289,291,294,295,297,298,300,301,311,314,318,329,340,342,343,361,],[22,22,32,35,22,45,48,49,55,22,45,22,61,22,22,65,68,74,22,100,22,45,68,22,127,22,100,100,100,140,100,100,100,22,68,68,180,74,22,189,22,194,100,199,22,194,203,100,205,100,100,100,100,100,100,100,100,100,100,100,100,100,100,22,22,45,240,194,100,127,272,22,22,279,22,281,194,22,45,100,100,100,100,100,100,272,22,281,45,194,194,194,194,100,100,194,22,335,45,100,22,22,194,100,]),'obj_decls':([167,224,225,],[226,276,277,]),'expr':([54,88,89,91,98,103,105,133,143,145,146,147,148,150,151,152,153,154,155,156,157,158,159,179,243,247,262,264,265,267,298,300,329,361,],[101,135,136,138,142,160,162,197,197,206,207,208,209,210,211,212,213,214,215,216,217,218,219,251,292,251,197,197,306,197,325,326,347,367,]),'exprs':([133,143,262,264,267,],[198,204,303,304,307,]),'decls':([0,278,311,],[25,312,333,]),} _lr_goto = { } for _k, _v in _lr_goto_items.items(): for _x,_y in zip(_v[0],_v[1]): if not _x in _lr_goto: _lr_goto[_x] = { } _lr_goto[_x][_k] = _y del _lr_goto_items _lr_productions = [ ("S' -> file","S'",1,None,None,None), ('file -> decls','file',1,'p_file','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',218), ('empty -> <empty>','empty',0,'p_empty','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',222), ('decls -> declsx','decls',1,'p_decls','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',225), ('declsx -> decl declsx','declsx',2,'p_declsx__list','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',229), ('declsx -> empty','declsx',1,'p_declsx__none','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',239), ('decl -> PROTOCOL STRING SEMI','decl',3,'p_decl__protocol','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',243), ('decl -> INCLUDE STRING SEMI','decl',3,'p_decl__include','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',252), ('decl -> MACHINE ( idents ) : obj_decls { decls }','decl',9,'p_decl__machine0','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',261), ('decl -> MACHINE ( idents pairs ) : obj_decls { decls }','decl',10,'p_decl__machine1','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',265), ('decl -> ACTION ( ident pairs ) statements','decl',6,'p_decl__action','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',269), ('decl -> IN_PORT ( ident , type , var pairs ) statements','decl',10,'p_decl__in_port','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',273), ('decl -> OUT_PORT ( ident , type , var pairs ) SEMI','decl',10,'p_decl__out_port','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',277), ('decl -> TRANS ( idents , idents , ident ) idents','decl',9,'p_decl__trans0','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',281), ('decl -> TRANS ( idents , idents ) idents','decl',7,'p_decl__trans1','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',285), ('decl -> TRANS ( idents , idents , ident ) idents idents','decl',10,'p_decl__trans2','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',289), ('decl -> TRANS ( idents , idents ) idents idents','decl',8,'p_decl__trans3','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',293), ('decl -> EXTERN_TYPE ( type pairs ) SEMI','decl',6,'p_decl__extern0','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',297), ('decl -> GLOBAL ( type pairs ) { type_members }','decl',8,'p_decl__global','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',302), ('decl -> STRUCT ( type pairs ) { type_members }','decl',8,'p_decl__struct','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',307), ('decl -> ENUM ( type pairs ) { type_enums }','decl',8,'p_decl__enum','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',311), ('decl -> STATE_DECL ( type pairs ) { type_states }','decl',8,'p_decl__state_decl','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',316), ('obj_decls -> obj_decl 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SEMI','func_decl',7,'p_func_decl__1','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',378), ('func_decl -> type ident ( types ) pairs SEMI','func_decl',7,'p_func_decl__1','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',379), ('decl -> func_def','decl',1,'p_decl__func_def','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',383), ('func_def -> void ident ( params ) pairs statements','func_def',7,'p_func_def__0','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',387), ('func_def -> type ident ( params ) pairs statements','func_def',7,'p_func_def__0','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',388), ('type_enums -> type_enum type_enums','type_enums',2,'p_type_enums__list','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',393), ('type_enums -> empty','type_enums',1,'p_type_enums__empty','/home/duan-xg/gem5-nvp/gem5/src/mem/slicc/parser.py',397), ('type_enum -> ident pairs 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2.017526
23,051
from pdb import set_trace import json import itertools # import pygments import random import csv # from pygments.token import Comment, Text, Keyword, Name # from bpe import Encoder # from nltk import everygrams, ngrams # from nltk.tokenize import word_tokenize # from lexer import build_lexer if __name__ == "__main__": import argparse ap = argparse.ArgumentParser() ap.add_argument("data", help="Path to training data") args = ap.parse_args() main_java(args.data)
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2.897143
175
from django.db import models
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3.75
8
from pyawx.models._mixins import DataModelMixin from pyawx.models.utils import set_changes, types from pyawx.exceptions import ValueReadOnly
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3.325581
43
#!/usr/bin/env python3 # Copyright (c) 2015 The Bitcoin Core developers # Copyright (c) 2015-2017 The Bitcoin Unlimited developers # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. # # Test ZMQ interface # import time import test_framework.loginit from test_framework.test_framework import BitcoinTestFramework from test_framework.util import * import zmq import struct import http.client import urllib.parse if __name__ == '__main__': ZMQTest ().main ()
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3.404908
163
#!/usr/bin/env pipenv-shebang import csv import time import yaml import configReader from datetime import datetime from miio import AirPurifierMiot configFile = "config.yaml" ip = configReader.fetchIpAddress(configFile,"airpurifier") token = configReader.fetchToken(configFile,"airpurifier") air = AirPurifierMiot(ip,token) while(True): try: prop = air.get_properties() dateTimeObj = datetime.now() #print(prop) temp = 0 hum = 0 aqi = 0 for e in prop: if(e["did"] == "humidity"): hum = e["value"] if(e["did"] == "temperature"): temp = e["value"] if(e["did"] == "aqi"): aqi = e["value"] with open('../visualize/studies/data_3.csv', mode = 'a') as csv_file: writer = csv.writer(csv_file, delimiter=',',quotechar='"', quoting=csv.QUOTE_MINIMAL) #Timestamp, Temperatura, Umidità, AQI writer.writerow([round(time.time() * 1000),temp,hum,aqi]) print(dateTimeObj) print(temp) print(hum) print(aqi) time.sleep(15.0 * 60) except Exception: pass
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2.023529
595
import os import sys from numpy.distutils.exec_command import exec_command if '--install' in sys.argv[1:]: print('Building and installing local dev version via conda') installing() elif '--remove' in sys.argv[1:]: print('Removing local dev package') remove() elif '--update' in sys.argv[1:]: print('Updating local dev package') update()
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2.850394
127
import os from io import open from setuptools import setup, find_packages setup( name="apichanges", version='0.0.1', description="AWS API Changes", long_description=read('readme.md'), long_description_content_type='text/markdown', license="Apache-2.0", packages=find_packages(), entry_points={ 'console_scripts': [ 'apichanges = apichanges.cli:cli']}, install_requires=[ "botocore>=1.12.228", "Click==7.0", "docutils==0.15.2", "Jinja2>=2.10.1", "jmespath==0.9.4", "MarkupSafe==1.1.1", "pycparser==2.19", "pygit2==0.28.2", "python-dateutil==2.8.0", "six==1.13.0", "lxml==4.4.2", "feedgen>=0.9.0", "urllib3==1.25.7" ], )
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1.88729
417
# utils.py import asyncio import aiohttp import discord import math import os import psutil import re import socket import subprocess import psycopg2 import xmltodict from core import const from datetime import datetime, timedelta from configparser import ConfigParser from contextlib import closing, suppress from discord.ext import commands from typing import Union SAVED_GAMES = os.path.expandvars('%USERPROFILE%\\Saved Games') REGEXP = { 'branch': re.compile(r'"branch": "(?P<branch>.*)"'), 'version': re.compile(r'"version": "(?P<version>.*)"') } PATCHNOTES_URL = 'https://www.digitalcombatsimulator.com/en/news/changelog/rss/' config = ConfigParser() config.read('config/dcsserverbot.ini')
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2.983539
243
"""lab app URL configuration""" from django.urls import path from django.utils.translation import gettext_lazy as _ from .views import (SampleCreateView, SampleDeleteView, SampleListView, SampleUpdateView) urlpatterns = [ path( _(''), SampleListView.as_view(), name='sample_list' ), path( _('create'), SampleCreateView.as_view(), name='sample_create' ), path( _('update/<int:pk>'), SampleUpdateView.as_view(), name='sample_update' ), path( _('delete/<int:pk>'), SampleDeleteView.as_view(), name='sample_delete' ) ]
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2.141479
311
from ..others_module import OthersModule
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4.2
10
#!/usr/bin/env python """ :Author Patrik Valkovic :Created 19.03.2019 12:21 :Licence MIT Part of grammpy """ from string import ascii_lowercase from grammpy import * from grammpy.transforms import ContextFree, InverseContextFree, InverseCommon from grammpy.parsers import cyk g = Grammar(terminals=list(ascii_lowercase + '()*+'), nonterminals=[Symb, Concat, Or, Iterate], rules=[SymbRule, Bracket, ConcatRewrite, ConcatRule, OrRewrite, OrRule, IterateRewrite, IterateRule], start_symbol=Or) if __name__ == '__main__': gr = ContextFree.prepare_for_cyk(g) while True: read = input("Type regex or exit to quit: ").strip() if read == "exit": break if len(read) == 0: continue root = cyk(gr, read) root = InverseContextFree.reverse_cyk_transforms(root) root = InverseCommon.splitted_rules(root) for form in root.get: print(form) print("Quiting the application")
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2.325688
436
from .. import usbhid _BATTERY_CHARGING_FLAG = 0b10000000 profile = { "name": "SteelSeries Aerox 3 Wireless", "models": [ { "name": "SteelSeries Aerox 3 Wireless (wired mode)", "vendor_id": 0x1038, "product_id": 0x183A, "endpoint": 3, }, ], "settings": { "sensitivity": { "label": "Sensibility presets", "description": "Set sensitivity preset (DPI)", "cli": ["-s", "--sensitivity"], "report_type": usbhid.HID_REPORT_TYPE_OUTPUT, "command": [0x2D], "value_type": "multidpi_range", "input_range": [100, 18000, 100], "output_range": [0x00, 0xD6, 1.2], "dpi_length_byte": 1, "first_preset": 0, "count_mode": "number", "max_preset_count": 5, "default": "400, 800, 1200, 2400, 3200", }, "polling_rate": { "label": "Polling rate", "description": "Set polling rate (Hz)", "cli": ["-p", "--polling-rate"], "report_type": usbhid.HID_REPORT_TYPE_OUTPUT, "command": [0x2B], "value_type": "choice", "choices": { 125: 0x03, 250: 0x02, 500: 0x01, 1000: 0x00, }, "default": 1000, }, "z1_color": { "label": "Strip top LED color", "description": "Set the color of the top LED", "cli": ["--top-color", "--z1"], "report_type": usbhid.HID_REPORT_TYPE_OUTPUT, "command": [0x21, 0x01, 0x00], "value_type": "rgbcolor", "default": "red", }, "z2_color": { "label": "Strip middle LED color", "description": "Set the color of the middle LED", "cli": ["--middle-color", "--z2"], "report_type": usbhid.HID_REPORT_TYPE_OUTPUT, "command": [0x21, 0x01, 0x01], "value_type": "rgbcolor", "default": "lime", }, "z3_color": { "label": "Strip bottom LED color", "description": "Set the color of the bottom LED", "cli": ["--bottom-color", "--z3"], "report_type": usbhid.HID_REPORT_TYPE_OUTPUT, "command": [0x21, 0x01, 0x02], "value_type": "rgbcolor", "default": "blue", }, "reactive_color": { "label": "Reactive color", "description": "Set the color of the LEDs in reaction to a button click", "cli": ["-a", "--reactive-color"], "report_type": usbhid.HID_REPORT_TYPE_OUTPUT, "command": [0x26], "value_type": "reactive_rgbcolor", "default": "off", }, "led_brightness": { "label": "LED Brightness", "description": "Set the brightness of the LEDs", "cli": ["-l", "--led-brightness"], "report_type": usbhid.HID_REPORT_TYPE_OUTPUT, "command": [0x23], "command_suffix": [0x01, 0x01, 0x00, 0x30, 0x75, 0x00], "value_type": "range", "input_range": [0, 15, 1], "output_range": [0x00, 0x0F, 1], "default": 15, }, "buttons_mapping": { "label": "Buttons mapping", "description": "Set the mapping of the buttons", "cli": ["-b", "--buttons"], "report_type": usbhid.HID_REPORT_TYPE_OUTPUT, "command": [0x2A], "value_type": "buttons", # fmt: off "buttons": { "Button1": {"id": 0x01, "offset": 0x00, "default": "button1"}, "Button2": {"id": 0x02, "offset": 0x05, "default": "button2"}, "Button3": {"id": 0x03, "offset": 0x0A, "default": "button3"}, "Button4": {"id": 0x04, "offset": 0x0F, "default": "button4"}, "Button5": {"id": 0x05, "offset": 0x14, "default": "button5"}, "Button6": {"id": 0x06, "offset": 0x19, "default": "dpi"}, "ScrollUp" : {"id": 0x31, "offset": 0x1E, "default": "scrollup"}, "ScrollDown": {"id": 0x32, "offset": 0x23, "default": "scrolldown"}, }, "button_field_length": 5, "button_disable": 0x00, "button_keyboard": 0x51, "button_multimedia": 0x61, "button_dpi_switch": 0x30, "button_scroll_up": None, "button_scroll_down": None, # fmt: on "default": "buttons(button1=button1; button2=button2; button3=button3; button4=button4; button5=button5; button6=dpi; scrollup=scrollup; scrolldown=scrolldown; layout=qwerty)", }, "rainbow_effect": { "label": "rainbow effect", "description": "Enable the rainbow effect (can be disabled by setting a color)", "cli": ["-e", "--rainbow-effect"], "report_type": usbhid.HID_REPORT_TYPE_OUTPUT, "command": [0x22, 0xFF], "value_type": "none", }, }, "battery_level": { "report_type": usbhid.HID_REPORT_TYPE_OUTPUT, "command": [0x92], "response_length": 2, "is_charging": lambda data: bool(data[1] & _BATTERY_CHARGING_FLAG), "level": lambda data: ((data[1] & ~_BATTERY_CHARGING_FLAG) - 1) * 5, }, "save_command": { "report_type": usbhid.HID_REPORT_TYPE_OUTPUT, "command": [0x11, 0x00], }, }
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1.82393
3,084
from __future__ import unicode_literals from django.test import TestCase from wtl.wtlib.models import Library, LibraryVersion from wtl.wtlib.tests.factories import (LibraryFactory, LibraryVersionFactory, ProjectFactory)
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2.64
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import setuptools with open("README.md", "r") as fh: long_description = fh.read() setuptools.setup( name="esp8266.py", version="0.0.3", author="letli", author_email="[email protected]", description="ESP8266 python library, a wrapper for AT commands (Hayes command set) using UART serial.", long_description=long_description, long_description_content_type="text/markdown", url="https://github.com/muchrooms/esp8266.py", #packages=setuptools.find_packages(), packages=['esp8266'], install_requires=[ 'pySerial>=3.0' ], classifiers=( "Programming Language :: Python :: 2", "Programming Language :: Python :: 3", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", ), )
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sal = float ( input ('Saldo médio ? ' )) if (sal <= 200) : nsal1= (sal* 0.90) print ('Valor do crédito 10% > R${}'.format(nsal1)) if (300 >= sal > 200) : nsal2 = (sal* 0.80) print ('Valor do crédito 20% > R${}'.format(nsal2)) if ( 400 >= sal > 300) : nsal3= (sal* 0.85) print ('Valor do crédito 25% > R${}'.format(nsal3)) if (sal > 400) : nsal4 = (sal* 0.70) print ('Valor do crédito 30% > R${}'.format(nsal4))
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2.050926
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import os import numpy as np from sklearn.feature_extraction.text import TfidfTransformer from tqdm import tqdm from utils.file import loadJson, dumpJson ############################################## # 根据序列数据集(ngram,api)，先统计元素的样本内频率， # 然后计算各个特征的TF-IDF值 ############################################## if __name__ == '__main__': calTFIDF(dataset_path='/home/asichurter/datasets/JSONs/virushare-10-3gram/all/', dict_map_path='/home/asichurter/datasets/JSONs/virushare-10-3gram/data/wordMap.json', is_class_dir=True, level='item')
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1.982759
290
import datetime import json import os import time import paho.mqtt.client as mqtt from pijuice import PiJuice from balena import Balena from datetime import datetime, timedelta from dateutil.tz import tzutc from time import sleep from w1thermsensor import W1ThermSensor WAKEALARM = '/sys/class/rtc/rtc0/wakealarm' BROKER_ADDRESS = os.environ.get('MQTT_BROKER') or "mqtt" BROKER_PORT = os.environ.get('MQTT_BROKER_PORT') or 80 SLEEP_INTERVAL = os.environ.get('SLEEP_INTERVAL') or 60 STAY_ALIVE = os.environ.get('STAY_ALIVE') or False def get_battery_parameters(pj): """Get all PiJuice parameters and return as a dictionary""" juice = {} charge = pj.status.GetChargeLevel() juice['charge'] = charge['data'] if charge['error'] == 'NO_ERROR' else charge['error'] # Temperature [C] temperature = pj.status.GetBatteryTemperature() juice['temperature'] = temperature['data'] if temperature['error'] == 'NO_ERROR' else temperature['error'] # Battery voltage [V] vbat = pj.status.GetBatteryVoltage() juice['vbat'] = vbat['data'] / 1000 if vbat['error'] == 'NO_ERROR' else vbat['error'] # Battery current [A] ibat = pj.status.GetBatteryCurrent() juice['ibat'] = ibat['data'] / 1000 if ibat['error'] == 'NO_ERROR' else ibat['error'] # I/O voltage [V] vio = pj.status.GetIoVoltage() juice['vio'] = vio['data'] / 1000 if vio['error'] == 'NO_ERROR' else vio['error'] # I/O current [A] iio = pj.status.GetIoCurrent() juice['iio'] = iio['data'] / 1000 if iio['error'] == 'NO_ERROR' else iio['error'] # Get power input (if power connected to the PiJuice board) status = pj.status.GetStatus() juice['power_input'] = status['data']['powerInput'] if status['error'] == 'NO_ERROR' else status['error'] # Get power input (if power connected to the Raspberry Pi board) status = pj.status.GetStatus() juice['power_input_board'] = status['data']['powerInput5vIo'] if status['error'] == 'NO_ERROR' else status['error'] return juice def update_tag(tag, variable): """Set a tag for the Balena device.""" balena.models.tag.device.set(os.environ['BALENA_DEVICE_UUID'], str(tag), str(variable)) def set_alarm(interval): """Set upcoming wakealarm.""" wakeup_time = datetime.now() + timedelta(minutes=int(interval)) timestamp = '{0:.0f}\n'.format(wakeup_time.timestamp()) try: with open(WAKEALARM, 'w') as f: f.write('0\n') with open(WAKEALARM, 'w') as f: f.write(timestamp) print('Wakealarm set to: %s' % wakeup_time) update_tag("WAKEUP_TIME", wakeup_time.strftime("%Y-%m-%d %H:%M:%S")) except OSError as e: print('Error setting wake alarm: %s' % e) def record_temperature(): """Record current temperature and send to MQTT broker.""" sensor = W1ThermSensor() temperature = sensor.get_temperature() update_tag("TEMPERATURE", temperature) client = mqtt.Client(transport="websockets") client.connect(BROKER_ADDRESS, 80) json_body = [ { "time": str('{:%Y-%m-%dT%H:%M:%S}'.format(datetime.now(tzutc()))), "measurement": "water-temperature", "fields": { "temperature": temperature, "sensor": "DS18B20" } } ] print("JSON body = " + str(json_body)) msg_info = client.publish("sensors", json.dumps(json_body)) if not msg_info.is_published(): msg_info.wait_for_publish() client.disconnect() def stay_alive(pj): """Enter endless loop recording temperature.""" while True: record_temperature() battery_data = get_battery_parameters(pj) print(battery_data) for key, value in battery_data.items(): update_tag(key, value) sleep(60) def shutdown(pj): """Shutdown Pi.""" shutdown_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S") update_tag("SHUTDOWN_TIME", shutdown_time) set_alarm(SLEEP_INTERVAL) pj.power.SetPowerOff(60) balena.models.supervisor.shutdown(device_uuid=os.environ['BALENA_DEVICE_UUID'], app_id=os.environ['BALENA_APP_ID']) # Start the SDK and record start tag balena = Balena() balena.auth.login_with_token(os.environ['BALENA_API_KEY']) update_tag("START_TIME", datetime.now().strftime("%Y-%m-%d %H:%M:%S")) # Wait for device I2C device to start while not os.path.exists('/dev/i2c-1'): print("Waiting to identify PiJuice") time.sleep(0.1) # Initiate PiJuice and make sure watchdog is disabled pi_juice = PiJuice(1, 0x14) pi_juice.power.SetWatchdog(0) if STAY_ALIVE == '1': stay_alive(pi_juice) record_temperature() shutdown(pi_juice)
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''' Created on May 9, 2017 @author: yingziwu ''' import feedparser import time import re import requests from redis import Redis from rq import Queue import json import os import logging from v2ex_spider import topic_spider from v2ex_base.v2_sql import SQL import settings class Rss_spider(object): ''' A Spider for v2ex's Rss. Get the latest and hot topic on the index. Using the rss generate the topic list that need to spider. ''' def __init__(self): ''' >>>from v2ex_spider import rss_spider >>>rss_spider.Rss_spider() ''' logging.info('start Rss spider') self.v2ex_rss_url_list=['https://www.v2ex.com/index.xml', 'https://www.v2ex.com/feed/tab/qna.xml', 'https://www.v2ex.com/feed/tab/jobs.xml', 'https://www.v2ex.com/feed/tab/deals.xml', 'https://www.v2ex.com/feed/tab/city.xml', 'https://www.v2ex.com/feed/tab/play.xml', 'https://www.v2ex.com/feed/tab/apple.xml', 'https://www.v2ex.com/feed/tab/creative.xml', 'https://www.v2ex.com/feed/tab/tech.xml'] self.latest_hot_api=['https://www.v2ex.com/api/topics/latest.json','https://www.v2ex.com/api/topics/hot.json'] self.topic_sleep_time=10 logging.debug('open sql database') self.SQ=SQL() self.SQ.open_datebase() self.redis_conn=Redis() self.load_config() #run try: self.latest_and_hot() except APIError as e: pass self.gen_topic_queue() #end self.SQ.close_datebase() logging.info('end the Rss spider') if __name__ == '__main__': Rss_spider() print('Finish!')
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1.98337
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from typing import List from . import langs __all__: List[str] = [ "langs", ]
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from lxmls.sequences.id_feature import IDFeatures # ---------- # Feature Class # Extracts features from a labeled corpus (only supported features are extracted # ----------
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import os import sys from random import random, sample import argparse from tqdm import tqdm import matplotlib.pyplot as plt import numpy as np from PIL import Image, ImageDraw, ImageFile from imutils import video import cv2 ImageFile.LOAD_TRUNCATED_IMAGES = True allowable_actions = ['none', 'quantize', 'trace', 'hed', 'sketch', 'segment', 'simplify', 'face', 'upsample', 'sss'] # input, output parser = argparse.ArgumentParser() parser.add_argument("--input_src", help="input: directory of input images or movie file") parser.add_argument("--max_num_images", type=int, help="maximum number of images to take (omit to use all)", default=None) parser.add_argument("--shuffle", action="store_true", help="shuffle input images") parser.add_argument("--min_dim", type=int, help="minimum width/height to allow for images", default=0) parser.add_argument("--max_dim", type=int, help="maximum width/height to allow for images", default=1e8) parser.add_argument("--output_dir", help="where to put output images (if \"None\" simply overwrite input)") parser.add_argument("--pct_test", type=float, help="percentage that goes to test set (default 0)", default=0) parser.add_argument("--save_mode", help="save output combined (pix2pix-style), split into directories, or just output", choices=['split','combined','output_only'], default='output_only') parser.add_argument("--save_ext", help="image save extension (jpg/png)", choices=['jpg','png'], default='png') # augmentation parser.add_argument("--w", type=int, help="output image width (None means leave unchanged)", default=None) parser.add_argument("--h", type=int, help="output image height (None means leave unchanged)", default=None) parser.add_argument("--num_per", type=int, help="how many copies of original, augmented", default=1) parser.add_argument("--frac", type=float, help="cropping ratio before resizing", default=1.0) parser.add_argument("--frac_vary", type=float, help="cropping ratio vary", default=0.0) parser.add_argument("--max_ang_rot", type=float, help="max rotation angle (degrees)", default=0) parser.add_argument("--max_stretch", type=float, help="maximum stretching factor (0=none)", default=0) parser.add_argument("--centered", action="store_true", help="to use centered crops instead of random ones") # actions parser.add_argument("--action", type=str, help="comma-separated: lis of actions from {%s} to take, e.g. trace,hed" % ','.join(allowable_actions), required=True, default="") parser.add_argument("--target_face_image", type=str, help="image of target face to extract (if None, extract first found one)", default=None) parser.add_argument("--face_crop", type=float, help="crop around target face first, with face fitting this fraction of the crop (default None, don't crop)", default=None) parser.add_argument("--face_crop_lerp", type=float, help="smoothing parameter for shifting around lerp (default 1, no lerp)", default=1.0) # data files parser.add_argument("--hed_model_path", type=str, default='../data/HED_reproduced.npz', help="model path for HED") parser.add_argument("--landmarks_path", type=str, default='../data/shape_predictor_68_face_landmarks.dat', help="path to face landmarks file") parser.add_argument("--photosketch_path", type=str, default='../tools/PhotoSketch', help="path to PhotoSketch (if using it)") parser.add_argument("--photosketch_model_path", type=str, default='../tools/PhotoSketch/pretrained', help="path to PhotoSketch checkpoint directory (if using it)") parser.add_argument("--esrgan_path", type=str, default='../tools/ESRGAN', help="path to ESRGAN (if using it)") parser.add_argument("--esrgan_model_path", type=str, default='../tools/ESRGAN/models', help="path to ESRGAN checkpoint directory (if using it)") parser.add_argument("--sss_path", type=str, default='../tools/SIGGRAPH18SSS', help="path to SSS (if using it)") parser.add_argument("--sss_model_path", type=str, default='../tools/SIGGRAPH18SSS/model', help="path to SSS checkpoint directory (if using it)") args = parser.parse_args() # import additional helpers as needed if 'hed' in args.action.split(',') or 'simplify' in args.action.split(','): import hed_processing if 'sketch' in args.action.split(','): sys.path.append(args.photosketch_path) import photosketch_processing if 'upsample' in args.action.split(','): sys.path.append(args.esrgan_path) import esrgan_processing if 'face' in args.action.split(','): from face_processing import * if 'sss' in args.action.split(','): sys.path.append(args.sss_path) import sss_processing from processing import * if __name__ == '__main__': #args = parser.parse_args() main(args)
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# to decrypt a msg msg = input("Enter the encrypted message :") en_msg = msg.upper() #print(en_msg) key = 1 for i in range(27): str1 = "" #key = 1 for letter in en_msg: l = ord(letter) + key if l > 90: l = l - 90 + 64 str1 = str1 + chr(l) key = key + 1 print(str1) key = 1 '''for i in range(27): str1 = "" for letter in en_msg: l = ord(letter) - key if l < 65: l = 91 - (65 - l) #- 65 + 64 str1 = str1 + chr(l) key = key + 1 print(str1) '''
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2.077922
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from dataclasses import dataclass from .base_entity import BaseClass @dataclass
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24
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created Jul 2020 @author: TheDrDOS """ # # Clear the Spyder console and variables # try: # from IPython import get_ipython # get_ipython().magic('clear') # get_ipython().magic('reset -f') # except: # pass from bokeh.io import show, save, output_file from bokeh.util.browser import view from bokeh.models import ColorBar, ColorMapper, LogColorMapper, LogTicker, LinearColorMapper, NumeralTickFormatter from bokeh.models import BasicTicker as LinearTicker from bokeh.models import BasicTickFormatter, LogTicker, FixedTicker, FuncTickFormatter from bokeh.palettes import Magma11 as palette from bokeh.palettes import Inferno256, Turbo256 from bokeh.plotting import figure from bokeh.models import Div from bokeh.models import ColumnDataSource, DateRangeSlider, Select, Spinner from bokeh.models.tools import HoverTool, BoxZoomTool # for showing the hover tool from bokeh_template_external_js import template as template_ext_js from bokeh import events from bokeh.models import Label, LabelSet, CustomJS, TapTool, Toggle, Button, Spacer, TextInput, RadioButtonGroup from bokeh.tile_providers import CARTODBPOSITRON_RETINA, get_provider import os import sys import numpy as np import datetime from datetime import date, timedelta from bokeh.models import NumeralTickFormatter, BasicTickFormatter # for adding the second axis from bokeh.models import LogAxis, LinearAxis, Range1d, DataRange1d # for formatting the dates on the x axis from bokeh.models import DatetimeTickFormatter from bokeh.layouts import column, row, gridplot, layout # For show multiple figures # For adding spans (vertical/horizontal lines without end points) from bokeh.models import Span import pandas as pd import pickle import progress_bar as pbar import json import gzip import sys """ # Assign output file ________________________________________________________________________________ """ def filename(fullname): """ Return the name of a file without its path or extension""" return os.path.splitext(os.path.split(fullname)[1])[0] this_filename = filename(os.path.basename(os.path.splitext(__file__)[0])) javascript_path = './' + this_filename + '_js/' localhost_path = './plots/' # name the output file/s after the script file output_filename = "./../site/plots/" + this_filename output_file(output_filename + ".html", title="Interactive Custom Map of World COVID19 Data with Time History") # title=filename(output_filename)) """ # Support functions ________________________________________________________________________________ """ """ # Load key_to_filename ________________________________________________________________________________ """ ext_datafiles = { 'path': "../site/plots/data/", 'rel_path': "./data/", } with gzip.GzipFile(ext_datafiles['path'] + 'filename_to_location.json.gz', 'r') as fin: ext_datafiles['filename_to_location'] = json.loads( fin.read().decode('utf-8')) with gzip.GzipFile(ext_datafiles['path'] + 'location_to_filename.json.gz', 'r') as fin: ext_datafiles['location_to_filename'] = json.loads( fin.read().decode('utf-8')) with gzip.GzipFile(ext_datafiles['path'] + 'location_to_mapfilename.json.gz', 'r') as fin: ext_datafiles['location_to_mapfilename'] = json.loads( fin.read().decode('utf-8')) """ # %% Load json file for initiallization ________________________________________________________________________________ """ init_location = 'New York, US' # get location with gzip.GzipFile(ext_datafiles['path'] + ext_datafiles['location_to_filename'][init_location] + '.json.gz', 'r') as fin: init_datafile = json.loads(fin.read().decode('utf-8')) init_data = dic_nan_decode(init_datafile['data'], init_datafile['nan_code']) init_data['date'] = pd.to_datetime(init_data['date']) latest_data_date = pd.to_datetime('today') #max(init_data['date']) oldest_date_date = pd.to_datetime('20191101',format='%Y%m%d') #min(init_data['date']) init_location = 'Earth' # get location with gzip.GzipFile(ext_datafiles['path'] + ext_datafiles['location_to_filename'][init_location] + '_map.json.gz', 'r') as fin: init_mapfile = json.loads(fin.read().decode('utf-8')) init_map = init_mapfile['data'] # Create source data structure and initialize state map source_graph = ColumnDataSource(init_data) source_map = ColumnDataSource(init_map) # Erase the underlying data to reduce the html filesize (will be loaded upon user tap feedback) source_graph.data = {k: source_graph.data[k][-2:-1] for k in source_graph.data} """ # %% Make State graph for COVID data ________________________________________________________________________________ """ # Set Soft Axis limits ax_limits = { 'x': ( pd.Timestamp.now() - pd.DateOffset(months=4), pd.Timestamp.now() ), } # Create figure p_graph = figure(x_axis_type='datetime', y_axis_type="linear", title='(Tap a state on the map above to show the corresponding COVID data here)', # plot_width=800, plot_height=600, tools="ypan,xpan,ywheel_zoom,xwheel_zoom,ybox_zoom,xbox_zoom,box_zoom,reset", active_scroll=None, active_drag='ypan', toolbar_location='left', sizing_mode='scale_width', aspect_ratio=2, visible=True, y_axis_location='right', ) # Assign tools and make wheel_zoom default on # Make the bar and line plots glyphs = [] graph_init = { 'x': 'date', 'source': source_graph, 'y': [ 'positiveIncreaseMAVPerMil', 'positiveActiveIncreaseMAVPerMil', 'deathIncreaseMAV10PerMil' ], 'legend_label': [ 'Positive Increase (week avg)', 'Positive Active Increase (week avg)', 'Deaths Increase x10 (week avg)' ], 'line_color': [ 'red', # mapper, 'yellowgreen', # color_mapper, 'blue'], 'line_width': [ 4, 4, 4 ], 'line_dash': [ 'solid', 'solid', 'solid'], 'name': ['' for i in range(0, 3)], } for n, y in enumerate(graph_init['y']): graph_init['name'][n] = y for n, y in enumerate(graph_init['y']): glyphs.append( p_graph.line( source=graph_init['source'], x=graph_init['x'], y=graph_init['y'][n], # legend_label=graph_init['legend_label'][n], line_color=graph_init['line_color'][n], color=graph_init['line_color'][n], line_width=graph_init['line_width'][n], line_dash=graph_init['line_dash'][n], name=graph_init['name'][n], ) ) p_graph.yaxis[0].formatter = NumeralTickFormatter(format="0,0.0") # Horizontal right axis zero span zero_span = Span( location=0, # Span the 0 line of the right y axis dimension='width', line_color='gray', line_dash='solid', line_width=3, line_alpha=0.4, ) p_graph.add_layout(zero_span) # Weekly span marks duration = np.timedelta64(4, 'm') ds = np.arange(ax_limits['x'][0], ax_limits['x'][1], dtype='datetime64[D]') # use of timezones was depricated, before timezone=None was needed day = np.timedelta64(1, 'D') for d in ds: if ((np.timedelta64(ds.max() - d) / day) % 7) == 0: ts = (np.datetime64(d) - np.datetime64('1970-01-01T00:00:00')) / \ np.timedelta64(1, 's') wloc = ts * 1000 # get the week mark location in a format compatible with annotations p_graph.add_layout( Span(location=wloc, dimension='height', line_color='gray', line_dash='dashed', line_width=2, line_alpha=0.5, )) span_play_position = Span(location=latest_data_date, dimension='height', line_color='gray', line_dash='solid', line_width=2, line_alpha=0.5, name='span_play_position') p_graph.add_layout(span_play_position) # # X axis formatting: p_graph.x_range = Range1d(ax_limits['x'][0], ax_limits['x'][1]) p_graph.xaxis.major_label_orientation = -np.pi / 3 # slant the labels dtformat = "%b-%d" p_graph.xaxis.formatter = formatter = DatetimeTickFormatter( # Always show the same date formatting regardless of zoom days=dtformat, months=dtformat, hours=dtformat, minutes=dtformat) # Add legend #p_graph.legend.location = "top_left" # Add a hover tool hover = HoverTool() hover.tooltips = [ #('Type', "$name"), ('', '$name: @$name{0,0.} on @date{%a-%b-%d}'), ] # hover.mode = 'vline' hover.formatters = { '@date': 'datetime', # use 'datetime' formatter for '@date' field '$name': 'printf' # use 'printf' formatter for the name of the column } hover.renderers = glyphs p_graph.add_tools(hover) p_graph_glyphs = glyphs """ %% Setup color map ________________________________________________________________________________ """ palette = Turbo256[128:-1:5] color_mapper = LinearColorMapper( palette=palette, low=0, high=20 * len(palette)) color_bar = ColorBar( color_mapper=color_mapper, label_standoff=2, border_line_color=None, location=(0, 0), bar_line_alpha=0.5, major_label_text_align='left', ) """ # Make the map ________________________________________________________________________________ """ p_map = figure( title=latest_data_date.strftime('%Y-%m-%d'), # x_range=minmax(DS_worlds_map.data['xc']), y_range=minmax(DS_worlds_map.data['yc']), # x_range=(-1.4e7,-7.4e6), # y_range=(2.88e6,6.28e6), # sizing_mode='stretch_width', tools="tap,pan,wheel_zoom,reset,save", active_tap='tap', toolbar_location='left', x_axis_location=None, y_axis_location=None, x_axis_type="mercator", y_axis_type="mercator", sizing_mode='scale_width', aspect_ratio=2, match_aspect=True, ) p_map.grid.grid_line_color = None bztool_s = BoxZoomTool(match_aspect=True) p_map.add_tools(bztool_s) p_map.toolbar.active_drag = None # bztool_s # Add the map tiles tile_provider = get_provider(CARTODBPOSITRON_RETINA) p_map.add_tile(tile_provider) # Add the states1 p_map_mpoly = p_map.multi_polygons( xs='x', ys='y', source=source_map, fill_color={'field': 'positiveIncreaseMAVPerMil', 'transform': color_mapper}, fill_alpha=0.6, line_color="white", line_width=1, ) p_map.add_layout(color_bar, 'right') # Add the hover tool to show the state name and number of counties hoverm = HoverTool() hoverm.tooltips = [ ('Name', "@name"), ("Population", "@population{0,0.}"), #("Current COVID Statistics","{}".format('-'*15)), ('Positive Cases', "@positive{0,0.}"), ('Recovered Cases', "@recovered{0,0.}"), ('Positive Active Cases', "@positiveActive{0,0.}"), ('Deaths', "@death{0,0.}"), ] p_map.add_tools(hoverm) # Add taptool to select from which state to show all the counties with open(javascript_path + 'callback_map.js', 'r') as f: callback_world_map = f.read() callbacktap = CustomJS(args={'ext_datafiles': ext_datafiles, 'p_graph_glyphs': p_graph_glyphs, 'p_graph': p_graph, }, code=callback_world_map) taptool = p_map.select(type=TapTool) taptool.callback = callbacktap # Explicitly initialize x range p_map.x_range = DataRange1d() # %% Make data graphs reset on doubletap p_graph.js_on_event('doubletap', CustomJS(args={'p': p_graph, }, code=""" p.reset.emit() """)) """ # Map widgets ------------------------------------------------------------------------------------------------ """ # Get the callback script used for many of the widgets with open(javascript_path + 'callback_map_widgets.js', 'r') as f: callback_widgets = f.read() # Level radio buttons radio_labels = ["Play \u25B6", "Step \u23ef", "Pause \u23f8"] radioGroup_play_controls = RadioButtonGroup( labels=radio_labels, active=2, name='radioGroup_play_controls') radioGroup_play_controls.js_on_click(CustomJS(args={ 'event': 'radioGroup_play_controls', 'ext_datafiles': ext_datafiles, 'mpoly': p_map_mpoly, 'source_map': source_map, 'p_map': p_map, }, code=callback_widgets)) # %% Make date range slider date_range_slider = DateRangeSlider(value=((latest_data_date-pd.DateOffset(months=1)), (latest_data_date)), start=(oldest_date_date), end=(latest_data_date), name='date_range_slider') date_range_slider.js_on_change("value", CustomJS(args={ 'event': 'date_range_slider', 'ext_datafiles': ext_datafiles, 'mpoly': p_map_mpoly, 'source_map': source_map, 'p_map': p_map, }, code=callback_widgets )) # Minumum time between animations on play, Spinner spinner_minStepTime = Spinner(title="", low=0, high=5, step=0.25, value=0.25, width=100,format=FuncTickFormatter(code=""" return tick.toString()+" sec" """), name='spinner_minStepTime') # Respond to taps on the graph p_graph.js_on_event('tap', CustomJS(args={ 'event': 'graph_tap', 'ext_datafiles': ext_datafiles, 'mpoly': p_map_mpoly, 'source_map': source_map, 'p_map': p_map, 'source_graph': source_graph, 'p_graph': p_graph, }, code=callback_widgets )) # Level radio buttons radio_labels = ["World Level", "States Level", "Counties Level"] radioGroup_level_select = RadioButtonGroup( labels=radio_labels, active=0, name='radioGroup_level_select') radioGroup_level_select.js_on_click(CustomJS(args={ 'event': 'level_select', 'mpoly': p_map_mpoly, 'ext_datafiles': ext_datafiles, 'source_map': source_map, 'p_map': p_map, }, code=callback_widgets)) # Choose to only see continental US continental_states = [ 'Alabama, US', 'Arizona, US', 'Arkansas, US', 'California, US', 'Colorado, US', 'Connecticut, US', 'Delaware, US', 'District of Columbia, US', 'Florida, US', 'Georgia, US', 'Idaho, US', 'Illinois, US', 'Indiana, US', 'Iowa, US', 'Kansas, US', 'Kentucky, US', 'Louisiana, US', 'Maine, US', 'Maryland, US', 'Massachusetts, US', 'Michigan, US', 'Minnesota, US', 'Mississippi, US', 'Missouri, US', 'Montana, US', 'Nebraska, US', 'Nevada, US', 'New Hampshire, US', 'New Jersey, US', 'New Mexico, US', 'New York, US', 'North Carolina, US', 'North Dakota, US', 'Ohio, US', 'Oklahoma, US', 'Oregon, US', 'Pennsylvania, US', 'Rhode Island, US', 'South Carolina, US', 'South Dakota, US', 'Tennessee, US', 'Texas, US', 'Utah, US', 'Vermont, US', 'Virginia, US', 'Washington, US', 'West Virginia, US', 'Wisconsin, US', 'Wyoming, US'] button_continental_us_only = Toggle(label="Continental US Only", visible=True, button_type='default', name='button_continental_us_only') button_continental_us_only.js_on_change('active', CustomJS(args={ 'event':'button_continental_us_only', 'mpoly': p_map_mpoly, 'ext_datafiles': ext_datafiles, 'source_map': source_map, 'p_map': p_map, 'continental_states': continental_states, }, code=callback_widgets)) # Selectors for the map selectors_map = [] opts = [k for k in init_data.keys() if isinstance(init_data[k][0], int) or isinstance(init_data[k][0], float)] opts = sorted(opts) select = Select(title="Data For Map Coloring:", value=p_map_mpoly.glyph.fill_color['field'], options=opts) select.js_on_change("value", CustomJS(args={ 'ext_datafiles': ext_datafiles, 'mpoly': p_map_mpoly, }, code=""" //console.log('select: value=' + this.value, this.toString()) mpoly.glyph.fill_color.field = this.value mpoly.data_source.change.emit() """)) selectors_map.append(select) # Range setting for map map_range_widgets = [] text_input = TextInput(value=str(color_mapper.high), title="High Color") text_input.js_on_change("value", CustomJS(args={ 'ext_datafiles': ext_datafiles, 'color_mapper': color_mapper, }, code=""" color_mapper.high = Number(this.value) """)) map_range_widgets.append(text_input) text_input = TextInput(value=str(color_mapper.low), title="Low Color") text_input.js_on_change("value", CustomJS(args={ 'ext_datafiles': ext_datafiles, 'color_mapper': color_mapper, }, code=""" color_mapper.low = Number(this.value) """)) map_range_widgets.append(text_input) """ # Line graph widgets ------------------------------------------------------------------------------------------------ """ # Selectors for the line graphs selectors_graph = [] opts = [k for k in init_data.keys() if isinstance(init_data[k][0], int) or isinstance(init_data[k][0], float)] opts = sorted(opts) for n, g in enumerate(p_graph_glyphs): select = Select(title=" ", # title="Data For Line "+str(n+1)+":", value=g.glyph.y, options=opts, background=g.glyph.line_color,) select.js_on_change("value", CustomJS(args={ 'ext_datafiles': ext_datafiles, 'line': g, }, code=""" //console.log('select: value=' + this.value, this.toString()) line.glyph.y.field = this.value line.data_source.change.emit() """)) selectors_graph.append(select) # %% Make heading for the whole thing """ # %% Make heading for the whole thing """ heading = Div(text=""" <h1> Wold Map Of COVID Data With Population Normalized Time History </h1> <p>Shows all the countries colored according to last weeks average number of new COVID-19 cases per day with country population normalization (number of people per million).</p> <ul> <li>Higher color number corresponds to faster spread of the virus.</li> <li>On the left of each graph thera are tools to zoom/pan/reset/save.</li> <li>On Mobile: Use two finger to scroll the page.</li> <li>Data last updated on: {data_update} </li> <li>Graphs generated on: {graph_update} </li> <li>Recovery data for countries is unavailable. Using estimates of approx 15days to recovery for those that don't die.</li> </ul> <h3> Tap on any country to show the COVID19 data time history graph below. </h3> """.format( data_update=pd.to_datetime(latest_data_date).strftime('%Y-%m-%d'), graph_update=pd.Timestamp.now().strftime('%Y-%m-%d'), )) footer = Div(text=""" <h3> Sources </h3> <ul> <li>GitHub repository for this project: <a href="https://github.com/thedrdos/covid-map"> https://github.com/thedrdos/covid-map </a>. </li> <li>Produced using Python with Bokeh and other modules.</li> <li>Country geographical Data from <a href="http://www.naturalearthdata.com/">Natural Earth</a>.</li> <li>COVID-19 Data on Countries from <a href="https://coronavirus.jhu.edu">The John Hopkins University Coronavirus Resource Center</a> or on <a href="https://github.com/CSSEGISandData/COVID-19">GitHub</a>.</li> </ul> """) data_notes = Div(text=""" <h4> Data Defintions: </h4> <ul> <li>Compatible with the <a href="https://covidtracking.com/about-data/data-definitions"> COVID Tracking Project data defintions</a>. </li> <li>Countries may have `positive`, `death`, `recovered`, and their derivatives available.</li> <li>USA states have most/all the data available.</li> <li>USA counties of stats may have `positive`, `death`, `recovered`, and their derivatives available.</li> <li>`recovered` is estimated where not available as `positive`-`death` after 15 days.</li> <li>USA counties do not have `recovered` reported data, they are estimates.</li> <li>`positiveActive` denotes `positive`-`recovered`-`death`.</li> <li>Suffix of `MAV` denotes a one week moving average.</li> <li>Suffix of `10` denotes multiplied by 10.</li> <li>Suffix of `PerMil` denotes population normalization (persons per million).</li> </ul> """) # %% Combine all the graphs """ # %% Combine all the graphs ________________________________________________________________________________ """ # Layout the figures and show them p_map.sizing_mode = 'scale_width' p_graph.sizing_mode = 'scale_width' if len(sys.argv)==1: print('Making non-mobile output version') lout = layout([heading, [selectors_map + map_range_widgets + [radioGroup_level_select] + [button_continental_us_only] #+[Spacer(background='black',height=2)] +[Div(text="<center><i> Time History Animation </i></center>")] #+[Spacer(background='black',height=2)] +[[spinner_minStepTime,radioGroup_play_controls] ,date_range_slider], p_map], [selectors_graph+[data_notes], p_graph], footer ]) lout.margin = (4, 20, 4, 20) # top, right, bottom, left lout.sizing_mode = 'scale_width' save(lout, template=template_ext_js(['jquary', 'pako'])) # view(output_filename+'.html') # view('http://localhost:7800/'+localhost_path+this_filename+'.html') elif sys.argv[1]=='mobile': print('Making mobile output version') lout_mobile = layout([ heading, [selectors_map]+map_range_widgets, [radioGroup_level_select, button_continental_us_only], p_map, [spinner_minStepTime,radioGroup_play_controls ,date_range_slider], p_graph, [[[selectors_graph]],data_notes], footer ]) lout_mobile.margin = (4, 20, 4, 20) # top, right, bottom, left lout_mobile.sizing_mode = 'scale_width' save(lout_mobile,filename=output_filename+'_mobile.html',template=template_ext_js(['jquary', 'pako']))
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2.476331
8,830
from django.conf.urls import url from . import views app_name = 'blog' urlpatterns=[ url(r'^$',views.index,name='index'), url(r'^post/(?P<pk>[0-9]+)/$',views.detail,name='detail'), ]
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2.297619
84
"""Selector """ from reversi.strategies.common import AbstractSelector class Selector(AbstractSelector): """Selector """ def select_moves(self, color, board, moves, scores, depth): """select_moves """ return moves class Selector_W(Selector): """Selector_W ワースト値に基づいて手を絞る """ def select_moves(self, color, board, moves, scores, depth): """select_moves """ moves = super().select_moves(color, board, moves, scores, depth) if depth >= self.depth: # 一定以上の深さの場合 worst_score = min([score for score in scores.values()]) worst_moves = [key for key in scores.keys() if scores[key] == worst_score] # 次の手の候補数がリミット以上の間は絞る if len(moves) - len(worst_moves) >= self.limit: for worst_move in worst_moves: moves.remove(worst_move) # 最もスコアの低い手を削除 return moves
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1.960251
478
"""Video output tools for turnovertools.""" import ffmpeg from timecode import Timecode class VideoFile(object): """A videofile which can either be imported or exported from."""
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3.7
50
# Generated by Django 2.2.2 on 2019-06-22 20:32 from django.db import migrations
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2.766667
30
from flask import Blueprint, render_template, request from webapp.methods import get_news blueprint = Blueprint('news', __name__, url_prefix='/news') @blueprint.route('/news', methods=['GET']) @blueprint.route('/news/<int:id>', methods=['GET'])
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from typing import Any, Dict, Tuple from eth_typing.evm import ChecksumAddress from trezorlib import ethereum # type: ignore from trezorlib.client import get_default_client # type: ignore from trezorlib.exceptions import PinException, TrezorFailure # type: ignore from trezorlib.messages import TransactionType # type: ignore from trezorlib.tools import parse_path as parse_hdpath # type: ignore from trezorlib.transport import TransportException # type: ignore from ape_trezor.exceptions import ( TrezorAccountException, TrezorClientConnectionError, TrezorClientError, ) from ape_trezor.hdpath import HDBasePath, HDPath class TrezorClient: """ This class is a client for the Trezor device. """ def extract_signature_vrs_bytes(signature_bytes: bytes) -> Tuple[int, bytes, bytes]: """ Breaks `signature_bytes` into 3 chunks vrs, where `v` is 1 byte, `r` is 32 bytes, and `s` is 32 bytes. """ if signature_bytes is None: raise TrezorClientError("No data in signature bytes.") return signature_bytes[-1], signature_bytes[:32], signature_bytes[32:64] class TrezorAccountClient: """ This class represents an account on the Trezor device when you know the full account HD path. """ @property def sign_personal_message(self, message: bytes) -> Tuple[int, bytes, bytes]: """ Sign an Ethereum message only following the EIP 191 specification and using your Trezor device. You will need to follow the prompts on the device to validate the message data. """ ethereum_message_signature = ethereum.sign_message( self.client, parse_hdpath(self._account_hd_path.path), message ) return extract_signature_vrs_bytes(signature_bytes=ethereum_message_signature.signature) # TODO: Uncomment when Trezor has released the EIP 712 update # def sign_typed_data(self, domain_hash: bytes, message_hash: bytes) # -> Tuple[int, bytes, bytes]: # """ # Sign an Ethereum message following the EIP 712 specification. # """ # ethereum_typed_data_signature = ethereum.sign_typed_data_hash( # self.client, parse_hdpath(self._account_hd_path.path), domain_hash, message_hash # ) # return extract_signature_vrs_bytes( # signature_bytes=ethereum_typed_data_signature.signature) __all__ = [ "TrezorClient", "TrezorAccountClient", ]
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""" """ # Full imports import json import pulp import logging as log import time # Imports from environment from cornflow_client import CornFlowApiError from cornflow_client.constants import INSTANCE_SCHEMA, SOLUTION_SCHEMA # Import internal modules from cornflow.app import create_app from cornflow.shared.const import ( EXEC_STATE_CORRECT, EXEC_STATE_STOPPED, EXEC_STATE_RUNNING, STATUS_HEALTHY, ) from cornflow.tests.const import INSTANCE_PATH from cornflow.tests.custom_liveServer import CustomTestCaseLive # TODO: user management # TODO: infeasible execution # TODO: reactivate test with new version of cornflow client which allows to pass # optional arguments for the headers of the request # def test_get_instance__data(self): # instance = self.create_new_instance("./cornflow/tests/data/test_mps.mps") # response = self.client.get_api_for_id( # "instance", instance["id"], "data", encoding="gzip" # ) # self.assertEqual(response.headers["Content-Encoding"], "gzip")
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from torchvision.models import resnet from .DirectionNet import DirectionNet from .DiResNet import FCN_Ref import torch import torch.nn as nn
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3.615385
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import requests from bs4 import BeautifulSoup
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# # PySNMP MIB module INTEL-IP-MULTICAST-ROUTER-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/INTEL-IP-MULTICAST-ROUTER-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 19:43:05 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueRangeConstraint, ConstraintsIntersection, SingleValueConstraint, ConstraintsUnion, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueRangeConstraint", "ConstraintsIntersection", "SingleValueConstraint", "ConstraintsUnion", "ValueSizeConstraint") mib2ext, = mibBuilder.importSymbols("INTEL-GEN-MIB", "mib2ext") NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance") ObjectIdentity, Bits, Integer32, MibScalar, MibTable, MibTableRow, MibTableColumn, Counter64, ModuleIdentity, IpAddress, Gauge32, Unsigned32, Counter32, TimeTicks, NotificationType, iso, MibIdentifier = mibBuilder.importSymbols("SNMPv2-SMI", "ObjectIdentity", "Bits", "Integer32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Counter64", "ModuleIdentity", "IpAddress", "Gauge32", "Unsigned32", "Counter32", "TimeTicks", "NotificationType", "iso", "MibIdentifier") DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention") ipmrouter = MibIdentifier((1, 3, 6, 1, 4, 1, 343, 6, 32)) conf = MibIdentifier((1, 3, 6, 1, 4, 1, 343, 6, 32, 1)) confMaxDvmrpRoutes = MibScalar((1, 3, 6, 1, 4, 1, 343, 6, 32, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 100000))).setMaxAccess("readwrite") if mibBuilder.loadTexts: confMaxDvmrpRoutes.setStatus('mandatory') confIfTable = MibTable((1, 3, 6, 1, 4, 1, 343, 6, 32, 1, 2), ) if mibBuilder.loadTexts: confIfTable.setStatus('mandatory') confIfEntry = MibTableRow((1, 3, 6, 1, 4, 1, 343, 6, 32, 1, 2, 1), ).setIndexNames((0, "INTEL-IP-MULTICAST-ROUTER-MIB", "confIfIndex")) if mibBuilder.loadTexts: confIfEntry.setStatus('mandatory') confIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 343, 6, 32, 1, 2, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: confIfIndex.setStatus('mandatory') confIfMCRouteProto = MibTableColumn((1, 3, 6, 1, 4, 1, 343, 6, 32, 1, 2, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: confIfMCRouteProto.setStatus('mandatory') confIfIgmpQueryInterval = MibTableColumn((1, 3, 6, 1, 4, 1, 343, 6, 32, 1, 2, 1, 3), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: confIfIgmpQueryInterval.setStatus('mandatory') confIfIgmpRobustness = MibTableColumn((1, 3, 6, 1, 4, 1, 343, 6, 32, 1, 2, 1, 4), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: confIfIgmpRobustness.setStatus('mandatory') confIfDvmrpMetric = MibTableColumn((1, 3, 6, 1, 4, 1, 343, 6, 32, 1, 2, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 31))).setMaxAccess("readwrite") if mibBuilder.loadTexts: confIfDvmrpMetric.setStatus('mandatory') confIfDvmrpUnreachableMetric = MibTableColumn((1, 3, 6, 1, 4, 1, 343, 6, 32, 1, 2, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 31))).setMaxAccess("readwrite") if mibBuilder.loadTexts: confIfDvmrpUnreachableMetric.setStatus('mandatory') confIfCreateObj = MibTableColumn((1, 3, 6, 1, 4, 1, 343, 6, 32, 1, 2, 1, 7), OctetString().subtype(subtypeSpec=ValueSizeConstraint(11, 11)).setFixedLength(11)).setMaxAccess("readwrite") if mibBuilder.loadTexts: confIfCreateObj.setStatus('mandatory') confIfDeleteObj = MibTableColumn((1, 3, 6, 1, 4, 1, 343, 6, 32, 1, 2, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1))).clone(namedValues=NamedValues(("delete", 1)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: confIfDeleteObj.setStatus('mandatory') mibBuilder.exportSymbols("INTEL-IP-MULTICAST-ROUTER-MIB", confIfDvmrpUnreachableMetric=confIfDvmrpUnreachableMetric, confIfCreateObj=confIfCreateObj, confIfMCRouteProto=confIfMCRouteProto, confIfDeleteObj=confIfDeleteObj, ipmrouter=ipmrouter, confIfTable=confIfTable, confMaxDvmrpRoutes=confMaxDvmrpRoutes, conf=conf, confIfEntry=confIfEntry, confIfIgmpQueryInterval=confIfIgmpQueryInterval, confIfIgmpRobustness=confIfIgmpRobustness, confIfDvmrpMetric=confIfDvmrpMetric, confIfIndex=confIfIndex)
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2.597663
1,797
import io from collections.abc import Iterable from typing import Optional EXAMPLE = """7,4,9,5,11,17,23,2,0,14,21,24,10,16,13,6,15,25,12,22,18,20,8,19,3,26,1 22 13 17 11 0 8 2 23 4 24 21 9 14 16 7 6 10 3 18 5 1 12 20 15 19 3 15 0 2 22 9 18 13 17 5 19 8 7 25 23 20 11 10 24 4 14 21 16 12 6 14 21 17 24 4 10 16 15 9 19 18 8 23 26 20 22 11 13 6 5 2 0 12 3 7""" Board = list[list[Optional[int]]] assert solve(io.StringIO(EXAMPLE)) == 4512 if __name__ == "__main__": main()
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2.136364
242
""" Copyright (c) 2020 VMware, Inc. This product is licensed to you under the Apache License, Version 2.0 (the "License"). You may not use this product except in compliance with the License. This product may include a number of subcomponents with separate copyright notices and license terms. Your use of these subcomponents is subject to the terms and conditions of the subcomponent's license, as noted in the LICENSE file. """ import requests from vra_ipam_utils.ipam import IPAM from vra_ipam_utils.exceptions import InvalidCertificateException import logging import pymysql ''' Example payload: "inputs": { "authCredentialsLink": "/core/auth/credentials/13c9cbade08950755898c4b89c4a0", "endpointProperties": { "hostName": "sampleipam.sof-mbu.eng.vmware.com" } } '''
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3.171315
251
import django_filters from rest_framework import filters from app.finance.models import Transaction
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4.04
25
""" """ from RPi._SPI import * VERSION = '0.6.2'
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2.04
25
import datetime import json import pytest from django.contrib.auth import get_user_model from django.contrib.auth.models import AnonymousUser from django.contrib.sessions.middleware import SessionMiddleware from django.core.exceptions import ValidationError from django.test import TestCase, RequestFactory from django.utils import timezone from wagtail_personalisation.adapters import get_segment_adapter from molo.core.models import ArticlePage, ArticlePageTags, SectionPage, Tag from molo.core.tests.base import MoloTestCaseMixin from molo.forms.models import FormsIndexPage from .utils import skip_logic_data from ..models import ( PersonalisableFormField, PersonalisableForm, FormsSegmentUserGroup, MoloFormPage, MoloFormField, ) from ..rules import ( FormsArticleTagRule, FormGroupMembershipRule, FormSubmissionDataRule, FormResponseRule ) @pytest.mark.django_db
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3.229682
283
# ====================================================================== # Copyright CERFACS (October 2018) # Contributor: Adrien Suau ([email protected]) # # This software is governed by the CeCILL-B license under French law and # abiding by the rules of distribution of free software. You can use, # modify and/or redistribute the software under the terms of the # CeCILL-B license as circulated by CEA, CNRS and INRIA at the following # URL "http://www.cecill.info". # # As a counterpart to the access to the source code and rights to copy, # modify and redistribute granted by the license, users are provided # only with a limited warranty and the software's author, the holder of # the economic rights, and the successive licensors have only limited # liability. # # In this respect, the user's attention is drawn to the risks associated # with loading, using, modifying and/or developing or reproducing the # software by the user in light of its specific status of free software, # that may mean that it is complicated to manipulate, and that also # therefore means that it is reserved for developers and experienced # professionals having in-depth computer knowledge. Users are therefore # encouraged to load and test the software's suitability as regards # their requirements in conditions enabling the security of their # systems and/or data to be ensured and, more generally, to use and # operate it in the same conditions as regards security. # # The fact that you are presently reading this means that you have had # knowledge of the CeCILL-B license and that you accept its terms. # ====================================================================== """Implementation of the :py:class:`~.QuantumCircuit` class. The :py:class:`~.QuantumCircuit` class represents a general quantum circuit as a Directed Acyclic Graph with possibly some multi-edges (2 edges can share the same source **and** the same target). """ import copy import typing import networkx as nx import numpy import qtoolkit.data_structures.quantum_circuit.gate_hierarchy as qgate import qtoolkit.data_structures.quantum_circuit.quantum_operation as qop CircuitCostFunction = typing.Callable[[QuantumCircuit], float]
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3.79062
597
import PIL from PIL import Image, ImageFont, ImageDraw import math, sys #This script converts 1bit image to special byte file and code for using in your projects. png = "pinkie_pie_by_cellularsp-d4j7sj2.gif" #Image file out_f = png[:-4] + ".img" print(out_f) max_ll = 8 im = Image.open(png) if im.width > 255 or im.height > 255: print("Image max width and heigh must be less then 256") sys.exit() s = "" bits = list() frame = 0 bits_len = 0 try: while 1: frame+=1 ouu = im.convert("L") ouu = ouu.point(lambda x: 0 if x<128 else 255, '1') #ouu.save("out_gif" + str(frame) + ".png") sn, ln = frame_to_code(ouu, bits) s += "\n//Frame: " + str(frame - 1) s += sn bits_len = ln im.seek(im.tell()+1) except EOFError: pass s = "uint8_t png[] = { " + str(im.width) + ", " + str(im.height) + ", " + str(frame) + ", " + str(bits_len & 0xFF) + ", " + str((bits_len >> 8) & 0xFF) + ", //Width, height, frame_count, frame_size_low_byte, frame_size_high_byte" + s + "\n};" #print(frame) with open(out_f, "wb") as fl: fl.write(bytes([im.width, im.height, frame, bits_len & 0xFF, (bits_len >> 8) & 0xFF])) fl.write(bytes(int(b[::-1], 2) for b in bits)) print(s)
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2.306641
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base_dir = './resultsMCM/prompted/gpt2mcm-k50-keepmin5-t00' base_path = base_dir+'/{}-{}/generations.jsonl' outfile = base_dir+'/all/generations.jsonl' batch_size = 4000 filenames = [(i*batch_size, i*batch_size+batch_size) for i in range(25)] print(filenames) cnt = 0 with open(outfile, 'w') as outfile: for i, fname_ in enumerate(filenames): start = fname_[0] end = fname_[1] if i + 1 == len(filenames): end = 'end' fname = base_path.format(start, end) with open(fname) as infile: for line in infile: outfile.write(line) cnt += 1 print("Finished merging generations: #{}".format(cnt))
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2.053731
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import numpy from dexp.utils.backends import Backend def get_array_for_cairo_surface(surface: "ImageSurface"): # noqa: F821 """ Returns an array given a ImageSurface from PyCairo. Parameters ---------- surface : surface Returns ------- RGBA numpy array of shape: (...,4) """ from cairocffi import ImageSurface surface: ImageSurface xp = Backend.get_xp_module() width = surface.get_width() height = surface.get_height() # Get pycairo surface buffer: buffer = surface.get_data() # Reshape array to get an extra uint8 axis: surface_array = numpy.ndarray(shape=(height, width, 4), dtype=xp.uint8, buffer=buffer) # Move to backend: surface_array = Backend.to_backend(surface_array) # We have now: BGRA, we need to flip color axis because of endianness to ARGB: surface_array = xp.flip(surface_array, axis=surface_array.ndim - 1) # Convert ARGB to RGBA: surface_array = xp.roll(surface_array, shift=-1, axis=surface_array.ndim - 1) return surface_array
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2.721228
391
#!/usr/bin/env python3 import numpy as np import h5py import matplotlib as mp import matplotlib.pyplot as plt import matplotlib.animation as animation from mpl_toolkits import mplot3d from mpl_toolkits.axes_grid1 import make_axes_locatable import argparse import os # import plotly.graph_objects as go #========= Configuration =========== parser = argparse.ArgumentParser(description='Grid Data Animator PICSP') parser.add_argument('-p', default="phi", type=str, help='Name of the parameter (phi/den.e/den.i)') parser.add_argument('-a', default=True, type=bool, help='Show Animation (True/False)') parser.add_argument('-s', default=False, type=bool, help='Save Animation (True/False)') parser.add_argument('-d', default=False, type=bool, help='3D Animation (True/False)') args = parser.parse_args() param = args.p show_anim = args.a save_anim = args.s Vis3D = args.d interval = 100 #in mseconds DIR ="../output/" file_name = "data"#"rhoNeutral" #"P" #========== Figure Directory Setup ============= figPath = "figures" # DO NOT CHANGE THE PATH if os.path.exists(figPath): print("figure directory exists. Existing figures will be replaced.") else: os.mkdir(figPath) h5 = h5py.File(DIR+file_name+'.h5','r') Lx = h5.attrs["Lx"] Ly = h5.attrs["Ly"] Nx = int(h5.attrs["Nx"]) Ny = int(h5.attrs["Ny"]) dp = int(h5.attrs["dp"]) Nt = int(h5.attrs["Nt"]) x = np.linspace(0,Lx,Nx) y = np.linspace(0,Ly,Ny) X, Y = np.meshgrid(x, y) # dataset index data_num = np.arange(start=0, stop=Nt, step=dp, dtype=int) maxP = np.max(h5[param+"/%d"%Nt]); minP = np.min(h5[param+"/%d"%Nt]); if (show_anim == True): ##### FIG SIZE CALC ############ figsize = np.array([150,150/1.618]) #Figure size in mm dpi = 300 #Print resolution ppi = np.sqrt(1920**2+1200**2)/24 #Screen resolution mp.rc('text', usetex=True) mp.rc('font', family='sans-serif', size=10, serif='Computer Modern Roman') mp.rc('axes', titlesize=10) mp.rc('axes', labelsize=10) mp.rc('xtick', labelsize=10) mp.rc('ytick', labelsize=10) mp.rc('legend', fontsize=10) if (show_anim == True): fig,ax1 = plt.subplots(figsize=figsize/25.4,constrained_layout=False,dpi=ppi) div = make_axes_locatable(ax1) cax = div.append_axes('right', '4%', '4%') data = h5[param+"/%d"%data_num[0]] if Vis3D == True: fig = plt.figure(figsize=figsize/25.4,constrained_layout=True,dpi=ppi) ax1 = plt.axes(projection ="3d") img1 = ax1.plot_surface(X,Y,data) else: img1 = ax1.contourf(X,Y,data) cbar = fig.colorbar(img1,cax=cax) ani = animation.FuncAnimation(fig,animate,frames=len(data_num),interval=interval,blit=False) # ani.save('phase_space.gif',writer='imagemagick') plt.show() if(save_anim == True): try: Writer = animation.writers['ffmpeg'] writer = Writer(fps=(1/interval), metadata=dict(artist='Me'), bitrate=1800) except RuntimeError: print("ffmpeg not available trying ImageMagickWriter") writer = animation.ImageMagickWriter(fps=(1/interval)) print("Saving movie to "+figPath+"/. Please wait .....") ani.save(figPath+"/"+param+'_animation_PICSP.mp4')
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# coding=utf-8 # Copyright 2021 The Google Research Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # pylint: skip-file import numpy as np from aloe.common.synthetic.toy_data_gen import inf_train_gen
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#!/usr/bin/env python3 """ This files has the NGram class. """ import pickle from os.path import join import numpy as np import re from tqdm import tqdm if __name__ == '__main__': with open(join('corpus', 'poems.pkl'), 'rb') as handle: poems = pickle.load(handle) unigram = NGram(poems, n=1) #bigram = NGram(poems, n=2) #trigram = NGram(poems, n=3) #fourthgram = NGram(poems, n=4) # save to pkl file with open('unigram.pkl', 'wb') as handle: pickle.dump(unigram, handle)
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""" Generate each script with customs variables by client """ import os import glob import json import argparse from pathlib import Path # paths path_cloud = str(Path(__file__).absolute().parent.parent) # path: scripts powershell path_ori_runbooks = '/scripts/runbooks/' path_dest_runbooks = '/azure_automatiom_account/runbooks/' path_automation_account = ''.join(path_cloud + path_dest_runbooks) path_create_db_as = ''.join(path_cloud + path_ori_runbooks + 'PRODUCT_NAME-CLIENT_NAME-create_db-as-runbook.ps1') path_apply_roles_as = ''.join(path_cloud + path_ori_runbooks + 'PRODUCT_NAME-CLIENT_NAME-apply-roles-as-runbook.ps1') path_restore_bkp_as = ''.join(path_cloud + path_ori_runbooks + 'PRODUCT_NAME-CLIENT_NAME-restore-bkp-as-runbook.ps1') path_send_email = ''.join(path_cloud + path_ori_runbooks + 'PRODUCT_NAME-CLIENT_NAME-send-email-runbook.ps1') path_start_stop_as = ''.join(path_cloud + path_ori_runbooks + 'PRODUCT_NAME-CLIENT_NAME-start-stop-as-runbook.ps1') path_update_bkp_as = ''.join(path_cloud + path_ori_runbooks + 'PRODUCT_NAME-CLIENT_NAME-update-bkp-as-runbook.ps1') path_process_large_volume_tables_as = ''.join(path_cloud + path_ori_runbooks + 'PRODUCT_NAME-CLIENT_NAME-process-large-volume-tables-as-runbook.ps1') path_process_partitions_as = ''.join(path_cloud + path_ori_runbooks + 'PRODUCT_NAME-CLIENT_NAME-daily-process-partitions-as-runbook.ps1') path_process_partitions_monthly_as = ''.join(path_cloud + path_ori_runbooks + 'PRODUCT_NAME-CLIENT_NAME-monthly-process-partitions-as-runbook.ps1') path_update_modules = ''.join(path_cloud + path_ori_runbooks + 'update-modules-runbook.ps1') path_update_certicate = ''.join(path_cloud + path_ori_runbooks + 'update-certificate-runbook.ps1') # path: scripts tmsl path_ori_tmsl = '/scripts/tmsl_mp/' path_dest_tmsl = '/azure_analysis_services/tmsl/' path_analysis_services = ''.join(path_cloud + path_dest_tmsl) path_ori_role_admins = ''.join(path_cloud + path_ori_tmsl + 'role_admins.json') path_ori_role_readers = ''.join(path_cloud + path_ori_tmsl + 'role_readers.json') path_dest_role_admins = ''.join(path_cloud + path_dest_tmsl + 'role_admins.json') path_dest_role_readers = ''.join(path_cloud + path_dest_tmsl + 'role_readers.json') # path: partitions path_partitions = ''.join(path_cloud + '/azure_analysis_services/partitions/') def get_partitions_name(path_partitions: str, partition_to_exclude: str) -> str: """ Read all files in path_partitions and create a list :return: string in format of tuple because powershell need this () special caraters. """ partitions_files = [] for file in glob.glob(path_partitions + '*.sql'): partition = os.path.splitext(os.path.basename(file))[0] partitions_files.append(partition) partitions_files.remove(partition_to_exclude) # Remove large volumne table partition_tuple = tuple(i for i in partitions_files) return str(partition_tuple) def prepare_tmsl(tmsl: str, local: str) -> str: """Prepare the path from local :return: Path of file tmsl """ if local == 'origin': return ''.join(path_cloud + path_ori_tmsl + 'create_db_'+tmsl+'.json') else: return ''.join(path_cloud + path_dest_tmsl + 'create_db_'+tmsl+'.json') def write_script(path_dest: str, file_name: str, script_content: str): """Create script powershell to use in runbooks :return: file *.ps1 """ try: return open(''.join(path_dest + file_name), mode='w+', encoding="utf-8") \ .write(script_content) except IOError: raise Exception('Request Error in ', file_name) if __name__ == '__main__': parser = argparse.ArgumentParser( description='Generate each script with customs variables by client') parser.add_argument('--subscritpion_id', type=str, required=False, help='Number subscritpion_id with 4 fileds') parser.add_argument('--data_source', type=str, default='oracle', required=False, help='oracle or postgresql') parser.add_argument('--product_name', type=str, default='PRODUCT_NAME', required=False, help='Name in lower case') parser.add_argument('--client_name', type=str, default='mp', required=False, help='Name in Upper case') parser.add_argument('--location', type=str, default='brazilsouth', required=False, help='Localization to create resources in Azure') parser.add_argument('--list_admins', type=str, default='[[email protected]]', required=False, help='Users to role admins in analysis services') parser.add_argument('--list_readers', type=str, default='[[email protected]]', required=False, help='Users to role readers in analysis services') parser.add_argument('--large_volume_table', type=str, default='fInfoProcessoMensal', required=False, help='Table`s name with need split partitions') parser.add_argument('--column_to_split', type=str, default='idanomesreferencia', required=False, help='Column`s name with need split partitions') parser.add_argument('--total_month', type=str, default='12', required=False, help='Range of month to storage in Analysis Services') parser.add_argument('--email_from', type=str, default='[email protected]', required=False, help='Sender email when runbook fail') parser.add_argument('--email_to', type=str, default='[email protected]', required=False, help='Receiver email when runbooks fail.') parser.add_argument('--smtp_server', type=str, default='[email protected]', required=False, help='Receiver email when runbooks fail.') parser.add_argument('--smtp_port', type=str, default='[email protected]', required=False, help='Receiver email when runbooks fail.') args = parser.parse_args() # <class 'argparse.ArgumentParser'> subscritpion_id = args.subscritpion_id data_source = args.data_source product_name = args.product_name client_name = args.client_name location = args.location list_admins = args.list_admins list_readers = args.list_readers large_volume_table = args.large_volume_table column_to_split = args.column_to_split total_month = args.total_month email_from = args.email_from email_to = args.email_to smtp_server = args.smtp_server smtp_port = args.smtp_port main(subscritpion_id, data_source, product_name, client_name, location, list_admins, list_readers, large_volume_table, column_to_split, total_month, email_from, email_to, smtp_server, smtp_port)
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from tensorflow.keras.preprocessing.image import ImageDataGenerator from ...dataloading import SequenceWrapper
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#!/usr/bin/env python import re from pathlib import Path import luigi from .core import FtarcTask if __name__ == '__main__': luigi.run()
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#!/usr/bin/env python3 # date: 2020.01.17 # https://stackoverflow.com/questions/59780007/ajax-with-flask-for-real-time-esque-updates-of-sensor-data-on-webpage/ from flask import Flask, request, render_template_string, jsonify import datetime import time import threading app = Flask(__name__) running = False # to control loop in thread value = 0 @app.route('/') @app.route('/<device>/<action>') @app.route('/update', methods=['POST']) app.run(debug=True)
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def test_constructed_account_added_to_database(db_session): """Test adding a complete stock entry.""" from ..models import Account assert len(db_session.query(Account).all()) == 0 account = Account( username='TEST', password='1234', email='[email protected]', ) db_session.add(account) assert len(db_session.query(Account).all()) == 1 def test_account_with_no_email_throws_error(db_session): """Test adding stock with required field empty.""" from ..models import Account import pytest from sqlalchemy.exc import IntegrityError assert len(db_session.query(Account).all()) == 0 account = Account( username='Test2', password='1234', email=None ) with pytest.raises(IntegrityError): db_session.add(account) assert db_session.query(Account).one_or_none() is None
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2.630952
336
#!/usr/bin/env python # -*- coding: utf-8 -*- """ pathlib_mate provide extensive methods, attributes for pathlib. """ __version__ = "0.0.6" __short_description__ = "An extended and more powerful pathlib." __license__ = "MIT" __author__ = "Sanhe Hu" from .pathlib import Path
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2.82
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import numpy as np import torch.nn as nn import torch upsampler = nn.Upsample(scale_factor=4, mode='bilinear')
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2.690476
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if __name__ == '__main__': p = Pessoa() print(Pessoa.comprimentar(p)) print(id(p)) print(p.comprimentar())
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2
62
# The MIT License # # Copyright (c) 2008 James Piechota # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # Later this can be made into a class to support progress windows # on different platforms (e.g. Max vs. Maya, or Win vs. Linux) # import sys from maya.OpenMayaUI import MProgressWindow from maya.OpenMaya import MGlobal import ns.py as npy import ns.py.Errors _progressing = False _uiProgress = False
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3.405594
429
import json import logging import socket import falcon from . import db """ Server: uwsgi --module "microWsgi.uwsgiTestApp:assemble()" --http :5050 --stats stats.socket Client: curl -s 'http://localhost:5050?test=potatoes' | python -m 'json.tool' Stats: nc -U stats.socket | python -m 'json.tool' """ logging.basicConfig(level=logging.DEBUG) def ready(req, resp): """ Proof of life """ return "yes" def params(req, resp): """ Params from the URL string """ return req.params def stats(req, resp): """ uwsgi's stats """ stats_socket = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM) stats_socket.connect('stats.socket') diag = b'' part = b'' while part or not diag: diag += part part = stats_socket.recv(16) return json.loads(diag) class Tester(object): """ Sandbox """ tests = { 'db': db.diag, 'stats': stats, 'params': params, 'ready': ready, }
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2.458015
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# -*- coding: utf-8 -*- """Mixins to be implemented by user.""" import pyecore.ecore as ecore from pyecore.ecore import EDerivedCollection from pyecore.valuecontainer import EcoreUtils, BadValueError from pyecore.innerutils import ignored class ActivityContentMixin(object): """User defined mixin class for ActivityContent.""" class ElementMixin(object): """User defined mixin class for Element.""" @property def has_owner(self, diagnostics=None, context=None): """Elements that must be owned must have an owner. mustBeOwned() implies owner->notEmpty()""" return self.owner is not None def not_own_self(self, diagnostics=None, context=None): """An element may not directly or indirectly own itself. not allOwnedElements()->includes(self)""" return self not in self.all_owned_elements() def add_keyword(self, keyword=None): """Adds the specified keyword to this element.""" raise NotImplementedError("operation add_keyword(...) not yet implemented") def apply_stereotype(self, stereotype): """Applies the specified stereotype to this element.""" from .profile_utils import get_definition_reference_matching gdrm = get_definition_reference_matching definition, base_reference = gdrm(stereotype, self) if definition is None: return application = definition() setattr(application, base_reference.name, self) self.eResource.append(application) def create_EAnnotation(self, source=None): """Creates an annotation with the specified source and this element as its model element.""" annotation = ecore.EAnnotation(source=source) self.eAnnotations.append(annotation) return annotation def destroy(self): """Destroys this element by removing all cross references to/from it and removing it from its containing resource or object.""" self.delete() def get_keywords(self): """Retrieves the keywords for this element.""" raise NotImplementedError("operation get_keywords(...) not yet implemented") def get_applicable_stereotype(self, qualifiedName=None): """Retrieves the stereotype with the specified qualified name that is applicable to this element, or null if no such stereotype is applicable.""" raise NotImplementedError( "operation get_applicable_stereotype(...) not yet implemented" ) def get_applicable_stereotypes(self): """Retrieves the stereotypes that are applicable to this element, including those that are required and/or may already be applied.""" raise NotImplementedError( "operation get_applicable_stereotypes(...) not yet implemented" ) def get_applied_stereotype(self, qualifiedName): """Retrieves the stereotype with the specified qualified name that is applied to this element, or null if no such stereotype is applied.""" from .profile_utils import get_stereotype_from_application for o, r in self._inverse_rels: if r.name.startswith("base_"): stereotype = get_stereotype_from_application(o) with ignored(Exception): if stereotype.qualifiedName == qualifiedName: return stereotype return None def get_applied_stereotypes(self): """Retrieves the stereotypes that are applied to this element.""" from .profile_utils import get_stereotype_from_application result = set() for o, r in self._inverse_rels: if r.name.startswith("base_"): stereotype = get_stereotype_from_application(o) if stereotype: result.add(stereotype) return tuple(result) def get_applied_substereotype(self, stereotype=None, qualifiedName=None): """Retrieves the substereotype of the specified stereotype with the specified qualified name that is applied to this element, or null if no such stereotype is applied.""" raise NotImplementedError( "operation get_applied_substereotype(...) not yet implemented" ) def get_applied_substereotypes(self, stereotype=None): """Retrieves the substereotypes of the specified stereotype that are applied to this element.""" raise NotImplementedError( "operation get_applied_substereotypes(...) not yet implemented" ) def get_model(self): """Retrieves the model that owns (either directly or indirectly) this element.""" from .uml import Model parent = self.eContainer() while parent is not None and not isinstance(parent, Model): parent = parent.eContainer() return parent def get_nearest_package(self): """Retrieves the nearest package that owns (either directly or indirectly) this element, or the element itself (if it is a package).""" from .uml import Package parent = self.eContainer() while parent is not None and not isinstance(parent, Package): parent = parent.eContainer() return parent def get_relationships(self): """Retrieves the relationships in which this element is involved.""" raise NotImplementedError( "operation get_relationships(...) not yet implemented" ) def get_relationships(self, eClass=None): """Retrieves the relationships of the specified type in which this element is involved.""" raise NotImplementedError( "operation get_relationships(...) not yet implemented" ) def get_required_stereotype(self, qualifiedName=None): """Retrieves the stereotype with the specified qualified name that is required for this element, or null if no such stereotype is required.""" raise NotImplementedError( "operation get_required_stereotype(...) not yet implemented" ) def get_required_stereotypes(self): """Retrieves the stereotypes that are required for this element.""" raise NotImplementedError( "operation get_required_stereotypes(...) not yet implemented" ) def get_source_directed_relationships(self): """Retrieves the directed relationships for which this element is a source.""" raise NotImplementedError( "operation get_source_directed_relationships(...) not yet implemented" ) def get_source_directed_relationships(self, eClass=None): """Retrieves the directed relationships of the specified type for which this element is a source.""" raise NotImplementedError( "operation get_source_directed_relationships(...) not yet implemented" ) def get_stereotype_application(self, stereotype=None): """Retrieves the application of the specified stereotype for this element, or null if no such stereotype application exists.""" raise NotImplementedError( "operation get_stereotype_application(...) not yet implemented" ) def get_stereotype_applications(self): """Retrieves the stereotype applications for this element.""" from .profile_utils import get_stereotype_from_application return tuple( o for o, r in self._inverse_rels if r.name.startswith("base_") and get_stereotype_from_application(o) ) def get_target_directed_relationships(self): """Retrieves the directed relationships for which this element is a target.""" raise NotImplementedError( "operation get_target_directed_relationships(...) not yet implemented" ) def get_target_directed_relationships(self, eClass=None): """Retrieves the directed relationships of the specified type for which this element is a target.""" raise NotImplementedError( "operation get_target_directed_relationships(...) not yet implemented" ) def get_value(self, stereotype=None, propertyName=None): """Retrieves the value of the property with the specified name in the specified stereotype for this element.""" raise NotImplementedError("operation get_value(...) not yet implemented") def has_keyword(self, keyword=None): """Determines whether this element has the specified keyword.""" raise NotImplementedError("operation has_keyword(...) not yet implemented") def has_value(self, stereotype=None, propertyName=None): """Determines whether this element has a (non-default) value for the property with the specified name in the specified stereotype.""" raise NotImplementedError("operation has_value(...) not yet implemented") def is_stereotype_applicable(self, stereotype=None): """Determines whether the specified stereotype is applicable to this element.""" raise NotImplementedError( "operation is_stereotype_applicable(...) not yet implemented" ) def is_stereotype_applied(self, stereotype=None): """Determines whether the specified stereotype is applied to this element.""" stereotype = self.get_applied_stereotype(stereotype.qualifiedName) return stereotype is not None def is_stereotype_required(self, stereotype=None): """Determines whether the specified stereotype is required for this element.""" raise NotImplementedError( "operation is_stereotype_required(...) not yet implemented" ) def remove_keyword(self, keyword=None): """Removes the specified keyword from this element.""" raise NotImplementedError("operation remove_keyword(...) not yet implemented") def set_value(self, stereotype=None, propertyName=None, newValue=None): """Sets the value of the property with the specified name in the specified stereotype for this element.""" raise NotImplementedError("operation set_value(...) not yet implemented") def unapply_stereotype(self, stereotype=None): """Unapplies the specified stereotype from this element.""" raise NotImplementedError( "operation unapply_stereotype(...) not yet implemented" ) def all_owned_elements(self): """The query allOwnedElements() gives all of the direct and indirect ownedElements of an Element. result = (ownedElement->union(ownedElement->collect( e | e.allOwnedElements()))->asSet()) <p>From package UML::CommonStructure.</p>""" return self.eAllContents() def must_be_owned(self): """ The query mustBeOwned() indicates whether Elements of this type must have an owner. Subclasses of Element that do not require an owner must override this operation. result = (true) <p>From package UML::CommonStructure.</p> """ return True class NamedElementMixin(object): """User defined mixin class for NamedElement.""" @property @property def visibility_needs_ownership(self, diagnostics=None, context=None): """ If a NamedElement is owned by something other than a Namespace, it does not have a visibility. One that is not owned by anything (and hence must be a Package, as this is the only kind of NamedElement that overrides mustBeOwned()) may have a visibility. (namespace = null and owner <> null) implies visibility = null """ raise NotImplementedError( "operation visibility_needs_ownership(...) not yet implemented" ) def has_qualified_name(self, diagnostics=None, context=None): """When there is a name, and all of the containing Namespaces have a name, the qualifiedName is constructed from the name of the NamedElement and the names of the containing Namespaces. (name <> null and allNamespaces()->select(ns | ns.name = null)->isEmpty()) implies qualifiedName = allNamespaces()->iterate( ns : Namespace; agg: String = name | ns.name.concat(self.separator()).concat(agg))""" raise NotImplementedError( "operation has_qualified_name(...) not yet implemented" ) def has_no_qualified_name(self, diagnostics=None, context=None): """If there is no name, or one of the containing Namespaces has no name, there is no qualifiedName. name=null or allNamespaces()->select( ns | ns.name=null )->notEmpty() implies qualifiedName = null""" raise NotImplementedError( "operation has_no_qualified_name(...) not yet implemented" ) def create_dependency(self, supplier=None): """Creates a dependency between this named element and the specified supplier, owned by this named element's nearest package.""" raise NotImplementedError( "operation create_dependency(...) not yet implemented" ) def create_usage(self, supplier=None): """Creates a usage between this named element and the specified supplier, owned by this named element's nearest package.""" raise NotImplementedError("operation create_usage(...) not yet implemented") def get_label(self): """Retrieves a localized label for this named element.""" raise NotImplementedError("operation get_label(...) not yet implemented") def get_label(self, localize=None): """Retrieves a label for this named element, localized if indicated.""" raise NotImplementedError("operation get_label(...) not yet implemented") def all_namespaces(self): """The query allNamespaces() gives the sequence of Namespaces in which the NamedElement is nested, working outwards. result = ( if owner = null then OrderedSet{} else let enclosingNamespace : Namespace = if owner.oclIsKindOf(TemplateParameter) and owner.oclAsType( TemplateParameter).signature.template.oclIsKindOf(Namespace) then owner.oclAsType(TemplateParameter).signature.template.oclAsType(Namespace) else namespace endif in enclosingNamespace.allNamespaces()->prepend(enclosingNamespace) endif) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError("operation all_namespaces(...) not yet implemented") def all_owning_packages(self): """The query allOwningPackages() returns the set of all the enclosing Namespaces of this NamedElement, working outwards, that are Packages, up to but not including the first such Namespace that is not a Package. result = (if namespace.oclIsKindOf(Package) then let owningPackage : Package = namespace.oclAsType(Package) in owningPackage->union(owningPackage.allOwningPackages()) else null endif) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError( "operation all_owning_packages(...) not yet implemented" ) def is_distinguishable_from(self, n=None, ns=None): """The query isDistinguishableFrom() determines whether two NamedElements may logically co-exist within a Namespace. By default, two named elements are distinguishable if (a) they have types neither of which is a kind of the other or (b) they have different names. result = ((self.oclIsKindOf(n.oclType()) or n.oclIsKindOf(self.oclType())) implies ns.getNamesOfMember(self)->intersection(ns.getNamesOfMember(n))->isEmpty() ) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError( "operation is_distinguishable_from(...) not yet implemented" ) def get_qualified_name(self): """When a NamedElement has a name, and all of its containing Namespaces have a name, the qualifiedName is constructed from the name of the NamedElement and the names of the containing Namespaces. result = (if self.name <> null and self.allNamespaces()->select( ns | ns.name=null )->isEmpty() then self.allNamespaces()->iterate( ns : Namespace; agg: String = self.name | ns.name.concat(self.separator()).concat(agg)) else null endif) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError( "operation get_qualified_name(...) not yet implemented" ) def separator(self): """The query separator() gives the string that is used to separate names when constructing a qualifiedName. result = ('::') <p>From package UML::CommonStructure.</p>""" return "::" def get_client_dependencies(self): """result = (Dependency.allInstances()->select(d | d.client->includes(self))) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError( "operation get_client_dependencies(...) not yet implemented" ) class CommentMixin(object): """User defined mixin class for Comment.""" class ImageMixin(object): """User defined mixin class for Image.""" class ParameterableElementMixin(object): """User defined mixin class for ParameterableElement.""" def is_compatible_with(self, p=None): """The query isCompatibleWith() determines if this ParameterableElement is compatible with the specified ParameterableElement. By default, this ParameterableElement is compatible with another ParameterableElement p if the kind of this ParameterableElement is the same as or a subtype of the kind of p. Subclasses of ParameterableElement should override this operation to specify different compatibility constraints. result = (self.oclIsKindOf(p.oclType())) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError( "operation is_compatible_with(...) not yet implemented" ) def is_template_parameter(self): """The query isTemplateParameter() determines if this ParameterableElement is exposed as a formal TemplateParameter. result = (templateParameter->notEmpty()) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError( "operation is_template_parameter(...) not yet implemented" ) class TemplateParameterMixin(object): """User defined mixin class for TemplateParameter.""" def must_be_compatible(self, diagnostics=None, context=None): """The default must be compatible with the formal TemplateParameter. default <> null implies default.isCompatibleWith(parameteredElement)""" raise NotImplementedError( "operation must_be_compatible(...) not yet implemented" ) class TemplateSignatureMixin(object): """User defined mixin class for TemplateSignature.""" def own_elements(self, diagnostics=None, context=None): """Parameters must own the ParameterableElements they parameter or those ParameterableElements must be owned by the TemplateableElement being templated. template.ownedElement->includesAll(parameter.parameteredElement->asSet() - parameter.ownedParameteredElement->asSet())""" raise NotImplementedError("operation own_elements(...) not yet implemented") def unique_parameters(self, diagnostics=None, context=None): """The names of the parameters of a TemplateSignature are unique. parameter->forAll( p1, p2 | (p1 <> p2 and p1.parameteredElement.oclIsKindOf( NamedElement) and p2.parameteredElement.oclIsKindOf(NamedElement) ) implies p1.parameteredElement.oclAsType(NamedElement).name <> p2.parameteredElement.oclAsType(NamedElement).name)""" raise NotImplementedError( "operation unique_parameters(...) not yet implemented" ) class TemplateableElementMixin(object): """User defined mixin class for TemplateableElement.""" def is_template(self): """The query isTemplate() returns whether this TemplateableElement is actually a template. result = (ownedTemplateSignature <> null) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError("operation is_template(...) not yet implemented") def parameterable_elements(self): """The query parameterableElements() returns the set of ParameterableElements that may be used as the parameteredElements for a TemplateParameter of this TemplateableElement. By default, this set includes all the ownedElements. Subclasses may override this operation if they choose to restrict the set of ParameterableElements. result = (self.allOwnedElements()->select(oclIsKindOf( ParameterableElement)).oclAsType(ParameterableElement)->asSet()) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError( "operation parameterable_elements(...) not yet implemented" ) class RelationshipMixin(object): """User defined mixin class for Relationship.""" class TemplateParameterSubstitutionMixin(object): """User defined mixin class for TemplateParameterSubstitution.""" def must_be_compatible(self, diagnostics=None, context=None): """The actual ParameterableElement must be compatible with the formal TemplateParameter, e.g., the actual ParameterableElement for a Class TemplateParameter must be a Class. actual->forAll(a | a.isCompatibleWith(formal.parameteredElement))""" raise NotImplementedError( "operation must_be_compatible(...) not yet implemented" ) class MultiplicityElementMixin(object): """User defined mixin class for MultiplicityElement.""" @property @lower.setter @property @upper.setter def upper_ge_lower(self, diagnostics=None, context=None): """The upper bound must be greater than or equal to the lower bound. upperBound() >= lowerBound()""" raise NotImplementedError("operation upper_ge_lower(...) not yet implemented") def lower_ge_0(self, diagnostics=None, context=None): """The lower bound must be a non-negative integer literal. lowerBound() >= 0""" raise NotImplementedError("operation lower_ge_0(...) not yet implemented") def value_specification_no_side_effects(self, diagnostics=None, context=None): """If a non-literal ValueSpecification is used for lowerValue or upperValue, then evaluating that specification must not have side effects.""" raise NotImplementedError( "operation value_specification_no_side_effects(...) not yet implemented" ) def value_specification_constant(self, diagnostics=None, context=None): """If a non-literal ValueSpecification is used for lowerValue or upperValue, then that specification must be a constant expression.""" raise NotImplementedError( "operation value_specification_constant(...) not yet implemented" ) def lower_is_integer(self, diagnostics=None, context=None): """If it is not empty, then lowerValue must have an Integer value. lowerValue <> null implies lowerValue.integerValue() <> null""" raise NotImplementedError("operation lower_is_integer(...) not yet implemented") def upper_is_unlimited_natural(self, diagnostics=None, context=None): """If it is not empty, then upperValue must have an UnlimitedNatural value. upperValue <> null implies upperValue.unlimitedValue() <> null""" raise NotImplementedError( "operation upper_is_unlimited_natural(...) not yet implemented" ) def compatible_with(self, other=None): """The operation compatibleWith takes another multiplicity as input. It returns true if the other multiplicity is wider than, or the same as, self. result = ((other.lowerBound() <= self.lowerBound()) and ((other.upperBound() = *) or (self.upperBound() <= other.upperBound()))) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError("operation compatible_with(...) not yet implemented") def includes_multiplicity(self, M=None): """The query includesMultiplicity() checks whether this multiplicity includes all the cardinalities allowed by the specified multiplicity. self.upperBound()->notEmpty() and self.lowerBound()->notEmpty() and M.upperBound()->notEmpty() and M.lowerBound()->notEmpty() result = ((self.lowerBound() <= M.lowerBound()) and (self.upperBound() >= M.upperBound())) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError( "operation includes_multiplicity(...) not yet implemented" ) def is_(self, lowerbound=None, upperbound=None): """The operation is determines if the upper and lower bound of the ranges are the ones given. result = (lowerbound = self.lowerBound() and upperbound = self.upperBound()) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError("operation is_(...) not yet implemented") def is_multivalued(self): """The query isMultivalued() checks whether this multiplicity has an upper bound greater than one. upperBound()->notEmpty() result = (upperBound() > 1) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError("operation is_multivalued(...) not yet implemented") def get_lower(self): """The derived lower attribute must equal the lowerBound. result = (lowerBound()) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError("operation get_lower(...) not yet implemented") def lower_bound(self): """The query lowerBound() returns the lower bound of the multiplicity as an integer, which is the integerValue of lowerValue, if this is given, and 1 otherwise. result = (if (lowerValue=null or lowerValue.integerValue()=null) then 1 else lowerValue.integerValue() endif) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError("operation lower_bound(...) not yet implemented") def get_upper(self): """The derived upper attribute must equal the upperBound. result = (upperBound()) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError("operation get_upper(...) not yet implemented") def upper_bound(self): """The query upperBound() returns the upper bound of the multiplicity for a bounded multiplicity as an unlimited natural, which is the unlimitedNaturalValue of upperValue, if given, and 1, otherwise. result = (if (upperValue=null or upperValue.unlimitedValue()=null) then 1 else upperValue.unlimitedValue() endif) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError("operation upper_bound(...) not yet implemented") class SlotMixin(object): """User defined mixin class for Slot.""" class ExceptionHandlerMixin(object): """User defined mixin class for ExceptionHandler.""" def handler_body_edges(self, diagnostics=None, context=None): """The handlerBody has no incoming or outgoing ActivityEdges and the exceptionInput has no incoming ActivityEdges. handlerBody.incoming->isEmpty() and handlerBody.outgoing->isEmpty() and exceptionInput.incoming->isEmpty()""" raise NotImplementedError( "operation handler_body_edges(...) not yet implemented" ) def output_pins(self, diagnostics=None, context=None): """If the protectedNode is an Action with OutputPins, then the handlerBody must also be an Action with the same number of OutputPins, which are compatible in type, ordering, and multiplicity to those of the protectedNode. (protectedNode.oclIsKindOf(Action) and protectedNode.oclAsType( Action).output->notEmpty()) implies (handlerBody.oclIsKindOf(Action) and let protectedNodeOutput : OrderedSet(OutputPin) = protectedNode.oclAsType( Action).output,handlerBodyOutput : OrderedSet(OutputPin) = handlerBody.oclAsType(Action).output in protectedNodeOutput->size() = handlerBodyOutput->size() and Sequence{1..protectedNodeOutput->size()}->forAll(i | handlerBodyOutput->at(i).type.conformsTo(protectedNodeOutput->at(i).type) and handlerBodyOutput->at(i).isOrdered=protectedNodeOutput->at(i).isOrdered and handlerBodyOutput->at(i).compatibleWith(protectedNodeOutput->at(i))) )""" raise NotImplementedError("operation output_pins(...) not yet implemented") def one_input(self, diagnostics=None, context=None): """The handlerBody is an Action with one InputPin, and that InputPin is the same as the exceptionInput. handlerBody.oclIsKindOf(Action) and let inputs: OrderedSet(InputPin) = handlerBody.oclAsType(Action).input in inputs->size()=1 and inputs->first()=exceptionInput""" raise NotImplementedError("operation one_input(...) not yet implemented") def edge_source_target(self, diagnostics=None, context=None): """An ActivityEdge that has a source within the handlerBody of an ExceptionHandler must have its target in the handlerBody also, and vice versa. let nodes:Set(ActivityNode) = handlerBody.oclAsType(Action).allOwnedNodes() in nodes.outgoing->forAll(nodes->includes(target)) and nodes.incoming->forAll(nodes->includes(source))""" raise NotImplementedError( "operation edge_source_target(...) not yet implemented" ) def handler_body_owner(self, diagnostics=None, context=None): """The handlerBody must have the same owner as the protectedNode. handlerBody.owner=protectedNode.owner""" raise NotImplementedError( "operation handler_body_owner(...) not yet implemented" ) def exception_input_type(self, diagnostics=None, context=None): """The exceptionInput must either have no type or every exceptionType must conform to the exceptionInput type. exceptionInput.type=null or exceptionType->forAll(conformsTo(exceptionInput.type.oclAsType(Classifier))) """ raise NotImplementedError( "operation exception_input_type(...) not yet implemented" ) class LinkEndDataMixin(object): """User defined mixin class for LinkEndData.""" def same_type(self, diagnostics=None, context=None): """The type of the value InputPin conforms to the type of the Association end. value<>null implies value.type.conformsTo(end.type)""" raise NotImplementedError("operation same_type(...) not yet implemented") def multiplicity(self, diagnostics=None, context=None): """The multiplicity of the value InputPin must be 1..1. value<>null implies value.is(1,1)""" raise NotImplementedError("operation multiplicity(...) not yet implemented") def end_object_input_pin(self, diagnostics=None, context=None): """The value InputPin is not also the qualifier value InputPin. value->excludesAll(qualifier.value)""" raise NotImplementedError( "operation end_object_input_pin(...) not yet implemented" ) def property_is_association_end(self, diagnostics=None, context=None): """The Property must be an Association memberEnd. end.association <> null""" raise NotImplementedError( "operation property_is_association_end(...) not yet implemented" ) def qualifiers(self, diagnostics=None, context=None): """The qualifiers must be qualifiers of the Association end. end.qualifier->includesAll(qualifier.qualifier)""" raise NotImplementedError("operation qualifiers(...) not yet implemented") def all_pins(self): """Returns all the InputPins referenced by this LinkEndData. By default this includes the value and qualifier InputPins, but subclasses may override the operation to add other InputPins. result = (value->asBag()->union(qualifier.value)) <p>From package UML::Actions.</p>""" raise NotImplementedError("operation all_pins(...) not yet implemented") class QualifierValueMixin(object): """User defined mixin class for QualifierValue.""" def multiplicity_of_qualifier(self, diagnostics=None, context=None): """The multiplicity of the value InputPin is 1..1. value.is(1,1)""" raise NotImplementedError( "operation multiplicity_of_qualifier(...) not yet implemented" ) def type_of_qualifier(self, diagnostics=None, context=None): """The type of the value InputPin conforms to the type of the qualifier Property.value.type.conformsTo(qualifier.type)""" raise NotImplementedError( "operation type_of_qualifier(...) not yet implemented" ) def qualifier_attribute(self, diagnostics=None, context=None): """The qualifier must be a qualifier of the Association end of the linkEndData that owns this QualifierValue. linkEndData.end.qualifier->includes(qualifier)""" raise NotImplementedError( "operation qualifier_attribute(...) not yet implemented" ) class ClauseMixin(object): """User defined mixin class for Clause.""" def body_output_pins(self, diagnostics=None, context=None): """The bodyOutput Pins are OutputPins on Actions in the body of the Clause. _'body'.oclAsType(Action).allActions().output->includesAll(bodyOutput)""" raise NotImplementedError("operation body_output_pins(...) not yet implemented") def decider_output(self, diagnostics=None, context=None): """The decider Pin must be on an Action in the test section of the Clause and must be of type Boolean with multiplicity 1..1. test.oclAsType(Action).allActions().output->includes(decider) and decider.type = Boolean and decider.is(1,1)""" raise NotImplementedError("operation decider_output(...) not yet implemented") def test_and_body(self, diagnostics=None, context=None): """The test and body parts of a ConditionalNode must be disjoint with each other. test->intersection(_'body')->isEmpty()""" raise NotImplementedError("operation test_and_body(...) not yet implemented") class NamespaceMixin(object): """User defined mixin class for Namespace.""" def members_distinguishable(self, diagnostics=None, context=None): """All the members of a Namespace are distinguishable within it. membersAreDistinguishable()""" raise NotImplementedError( "operation members_distinguishable(...) not yet implemented" ) def cannot_import_self(self, diagnostics=None, context=None): """A Namespace cannot have a PackageImport to itself. packageImport.importedPackage.oclAsType(Namespace)->excludes(self)""" raise NotImplementedError( "operation cannot_import_self(...) not yet implemented" ) def cannot_import_owned_members(self, diagnostics=None, context=None): """A Namespace cannot have an ElementImport to one of its ownedMembers. elementImport.importedElement.oclAsType(Element)->excludesAll(ownedMember)""" raise NotImplementedError( "operation cannot_import_owned_members(...) not yet implemented" ) def create_element_import(self, element=None, visibility=None): """Creates an import of the specified element into this namespace with the specified visibility.""" raise NotImplementedError( "operation create_element_import(...) not yet implemented" ) def create_package_import(self, package_=None, visibility=None): """Creates an import of the specified package into this namespace with the specified visibility.""" raise NotImplementedError( "operation create_package_import(...) not yet implemented" ) def get_imported_elements(self): """Retrieves the elements imported by this namespace.""" raise NotImplementedError( "operation get_imported_elements(...) not yet implemented" ) def get_imported_packages(self): """Retrieves the packages imported by this namespace.""" raise NotImplementedError( "operation get_imported_packages(...) not yet implemented" ) def exclude_collisions(self, imps=None): """The query excludeCollisions() excludes from a set of PackageableElements any that would not be distinguishable from each other in this Namespace. result = (imps->reject(imp1 | imps->exists(imp2 | not imp1.isDistinguishableFrom( imp2, self)))) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError( "operation exclude_collisions(...) not yet implemented" ) def get_names_of_member(self, element=None): """The query getNamesOfMember() gives a set of all of the names that a member would have in a Namespace, taking importing into account. In general a member can have multiple names in a Namespace if it is imported more than once with different aliases. result = (if self.ownedMember ->includes(element) then Set{element.name} else let elementImports : Set(ElementImport) = self.elementImport->select( ei | ei.importedElement = element) in if elementImports->notEmpty() then elementImports->collect(el | el.getName())->asSet() else self.packageImport->select( pi | pi.importedPackage.visibleMembers().oclAsType(NamedElement)-> includes(element))-> collect(pi | pi.importedPackage.getNamesOfMember(element))->asSet() endif endif) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError( "operation get_names_of_member(...) not yet implemented" ) def import_members(self, imps=None): """The query importMembers() defines which of a set of PackageableElements are actually imported into the Namespace. This excludes hidden ones, i.e., those which have names that conflict with names of ownedMembers, and it also excludes PackageableElements that would have the indistinguishable names when imported. result = (self.excludeCollisions(imps)->select( imp | self.ownedMember->forAll(mem | imp.isDistinguishableFrom(mem, self)))) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError("operation import_members(...) not yet implemented") def get_imported_members(self): """The importedMember property is derived as the PackageableElements that are members of this Namespace as a result of either PackageImports or ElementImports. result = (self.importMembers(elementImport.importedElement->asSet()->union( packageImport.importedPackage->collect(p | p.visibleMembers()))->asSet())) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError( "operation get_imported_members(...) not yet implemented" ) def members_are_distinguishable(self): """The Boolean query membersAreDistinguishable() determines whether all of the Namespace's members are distinguishable within it. result = (member->forAll( memb | member->excluding(memb)->forAll(other | memb.isDistinguishableFrom(other, self)))) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError( "operation members_are_distinguishable(...) not yet implemented" ) class DirectedRelationshipMixin(object): """User defined mixin class for DirectedRelationship.""" class TypedElementMixin(object): """User defined mixin class for TypedElement.""" class ConnectorEndMixin(object): """User defined mixin class for ConnectorEnd.""" @property def role_and_part_with_port(self, diagnostics=None, context=None): """If a ConnectorEnd references a partWithPort, then the role must be a Port that is defined or inherited by the type of the partWithPort. partWithPort->notEmpty() implies (role.oclIsKindOf(Port) and partWithPort.type.oclAsType( Namespace).member->includes(role))""" raise NotImplementedError( "operation role_and_part_with_port(...) not yet implemented" ) def part_with_port_empty(self, diagnostics=None, context=None): """If a ConnectorEnd is attached to a Port of the containing Classifier, partWithPort will be empty.(role.oclIsKindOf(Port) and role.owner = connector.owner) implies partWithPort->isEmpty()""" raise NotImplementedError( "operation part_with_port_empty(...) not yet implemented" ) def multiplicity(self, diagnostics=None, context=None): """The multiplicity of the ConnectorEnd may not be more general than the multiplicity of the corresponding end of the Association typing the owning Connector, if any.self.compatibleWith(definingEnd)""" raise NotImplementedError("operation multiplicity(...) not yet implemented") def self_part_with_port(self, diagnostics=None, context=None): """The Property held in self.partWithPort must not be a Port. partWithPort->notEmpty() implies not partWithPort.oclIsKindOf(Port)""" raise NotImplementedError( "operation self_part_with_port(...) not yet implemented" ) def get_defining_end(self): """Derivation for ConnectorEnd::/definingEnd : Property result = (if connector.type = null then null else let index : Integer = connector.end->indexOf(self) in connector.type.memberEnd->at(index) endif) <p>From package UML::StructuredClassifiers.</p>""" raise NotImplementedError("operation get_defining_end(...) not yet implemented") class ConnectableElementTemplateParameterMixin(object): """User defined mixin class for ConnectableElementTemplateParameter.""" class DeploymentTargetMixin(object): """User defined mixin class for DeploymentTarget.""" def get_deployed_elements(self): """Derivation for DeploymentTarget::/deployedElement result = (deployment.deployedArtifact->select(oclIsKindOf(Artifact))->collect( oclAsType(Artifact).manifestation)->collect(utilizedElement)->asSet()) <p>From package UML::Deployments.</p>""" raise NotImplementedError( "operation get_deployed_elements(...) not yet implemented" ) class DeployedArtifactMixin(object): """User defined mixin class for DeployedArtifact.""" class RedefinableElementMixin(object): """User defined mixin class for RedefinableElement.""" def redefinition_consistent(self, diagnostics=None, context=None): """A redefining element must be consistent with each redefined element. redefinedElement->forAll(re | re.isConsistentWith(self))""" raise NotImplementedError( "operation redefinition_consistent(...) not yet implemented" ) def non_leaf_redefinition(self, diagnostics=None, context=None): """A RedefinableElement can only redefine non-leaf RedefinableElements. redefinedElement->forAll(re | not re.isLeaf)""" raise NotImplementedError( "operation non_leaf_redefinition(...) not yet implemented" ) def redefinition_context_valid(self, diagnostics=None, context=None): """At least one of the redefinition contexts of the redefining element must be a specialization of at least one of the redefinition contexts for each redefined element. redefinedElement->forAll(re | self.isRedefinitionContextValid(re))""" raise NotImplementedError( "operation redefinition_context_valid(...) not yet implemented" ) def is_consistent_with(self, redefiningElement=None): """The query isConsistentWith() specifies, for any two RedefinableElements in a context in which redefinition is possible, whether redefinition would be logically consistent. By default, this is false; this operation must be overridden for subclasses of RedefinableElement to define the consistency conditions. redefiningElement.isRedefinitionContextValid(self) result = (false) <p>From package UML::Classification.</p>""" raise NotImplementedError( "operation is_consistent_with(...) not yet implemented" ) def is_redefinition_context_valid(self, redefinedElement=None): """The query isRedefinitionContextValid() specifies whether the redefinition contexts of this RedefinableElement are properly related to the redefinition contexts of the specified RedefinableElement to allow this element to redefine the other. By default at least one of the redefinition contexts of this element must be a specialization of at least one of the redefinition contexts of the specified element. result = (redefinitionContext->exists(c | c.allParents()->includesAll( redefinedElement.redefinitionContext))) <p>From package UML::Classification.</p>""" raise NotImplementedError( "operation is_redefinition_context_valid(...) not yet implemented" ) class ParameterSetMixin(object): """User defined mixin class for ParameterSet.""" def same_parameterized_entity(self, diagnostics=None, context=None): """The Parameters in a ParameterSet must all be inputs or all be outputs of the same parameterized entity, and the ParameterSet is owned by that entity. parameter->forAll(p1, p2 | self.owner = p1.owner and self.owner = p2.owner and p1.direction = p2.direction)""" raise NotImplementedError( "operation same_parameterized_entity(...) not yet implemented" ) def input(self, diagnostics=None, context=None): """If a parameterized entity has input Parameters that are in a ParameterSet, then any inputs that are not in a ParameterSet must be streaming. Same for output Parameters. ((parameter->exists(direction = ParameterDirectionKind::_'in')) implies behavioralFeature.ownedParameter->select(p | p.direction = ParameterDirectionKind::_'in' and p.parameterSet->isEmpty())->forAll(isStream)) and ((parameter->exists(direction = ParameterDirectionKind::out)) implies behavioralFeature.ownedParameter->select(p | p.direction = ParameterDirectionKind::out and p.parameterSet->isEmpty())->forAll(isStream)) """ raise NotImplementedError("operation input(...) not yet implemented") def two_parameter_sets(self, diagnostics=None, context=None): """Two ParameterSets cannot have exactly the same set of Parameters. parameter->forAll(parameterSet->forAll(s1, s2 | s1->size() = s2->size() implies s1.parameter->exists(p | not s2.parameter->includes(p))))""" raise NotImplementedError( "operation two_parameter_sets(...) not yet implemented" ) class VertexMixin(object): """User defined mixin class for Vertex.""" def containing_state_machine(self): """The operation containingStateMachine() returns the StateMachine in which this Vertex is defined. result = (if container <> null then -- the container is a region container.containingStateMachine() else if (self.oclIsKindOf(Pseudostate)) and ((self.oclAsType(Pseudostate).kind = PseudostateKind::entryPoint) or (self.oclAsType(Pseudostate).kind = PseudostateKind::exitPoint)) then self.oclAsType(Pseudostate).stateMachine else if (self.oclIsKindOf(ConnectionPointReference)) then self.oclAsType( ConnectionPointReference).state.containingStateMachine() -- no other valid cases possible else null endif endif endif ) <p>From package UML::StateMachines.</p>""" raise NotImplementedError( "operation containing_state_machine(...) not yet implemented" ) def get_incomings(self): """Derivation for Vertex::/incoming. result = (Transition.allInstances()->select(target=self)) <p>From package UML::StateMachines.</p>""" raise NotImplementedError("operation get_incomings(...) not yet implemented") def get_outgoings(self): """Derivation for Vertex::/outgoing result = (Transition.allInstances()->select(source=self)) <p>From package UML::StateMachines.</p>""" raise NotImplementedError("operation get_outgoings(...) not yet implemented") def is_contained_in_state(self, s=None): """This utility operation returns true if the Vertex is contained in the State s (input argument). result = (if not s.isComposite() or container->isEmpty() then false else if container.state = s then true else container.state.isContainedInState(s) endif endif) <p>From package UML::StateMachines.</p>""" raise NotImplementedError( "operation is_contained_in_state(...) not yet implemented" ) def is_contained_in_region(self, r=None): """This utility query returns true if the Vertex is contained in the Region r (input argument). result = (if (container = r) then true else if (r.state->isEmpty()) then false else container.state.isContainedInRegion(r) endif endif) <p>From package UML::StateMachines.</p>""" raise NotImplementedError( "operation is_contained_in_region(...) not yet implemented" ) class TriggerMixin(object): """User defined mixin class for Trigger.""" def trigger_with_ports(self, diagnostics=None, context=None): """If a Trigger specifies one or more ports, the event of the Trigger must be a MessageEvent. port->notEmpty() implies event.oclIsKindOf(MessageEvent)""" raise NotImplementedError( "operation trigger_with_ports(...) not yet implemented" ) class OperationTemplateParameterMixin(object): """User defined mixin class for OperationTemplateParameter.""" def match_default_signature(self, diagnostics=None, context=None): """default->notEmpty() implies (default.oclIsKindOf(Operation) and ( let defaultOp : Operation = default.oclAsType(Operation) in defaultOp.ownedParameter->size() = parameteredElement.ownedParameter->size() and Sequence{1.. defaultOp.ownedParameter->size()}->forAll( ix | let p1: Parameter = defaultOp.ownedParameter->at(ix), p2 : Parameter = parameteredElement.ownedParameter->at(ix) in p1.type = p2.type and p1.upper = p2.upper and p1.lower = p2.lower and p1.direction = p2.direction and p1.isOrdered = p2.isOrdered and p1.isUnique = p2.isUnique)))""" raise NotImplementedError( "operation match_default_signature(...) not yet implemented" ) class CollaborationUseMixin(object): """User defined mixin class for CollaborationUse.""" def client_elements(self, diagnostics=None, context=None): """All the client elements of a roleBinding are in one Classifier and all supplier elements of a roleBinding are in one Collaboration. roleBinding->collect(client)->forAll(ne1, ne2 | ne1.oclIsKindOf(ConnectableElement) and ne2.oclIsKindOf(ConnectableElement) and let ce1 : ConnectableElement = ne1.oclAsType(ConnectableElement), ce2 : ConnectableElement = ne2.oclAsType(ConnectableElement) in ce1.structuredClassifier = ce2.structuredClassifier) and roleBinding->collect(supplier)->forAll(ne1, ne2 | ne1.oclIsKindOf(ConnectableElement) and ne2.oclIsKindOf(ConnectableElement) and let ce1 : ConnectableElement = ne1.oclAsType(ConnectableElement), ce2 : ConnectableElement = ne2.oclAsType(ConnectableElement) in ce1.collaboration = ce2.collaboration)""" raise NotImplementedError("operation client_elements(...) not yet implemented") def every_role(self, diagnostics=None, context=None): """Every collaborationRole in the Collaboration is bound within the CollaborationUse. type.collaborationRole->forAll(role | roleBinding->exists(rb | rb.supplier->includes(role)))""" raise NotImplementedError("operation every_role(...) not yet implemented") def connectors(self, diagnostics=None, context=None): """Connectors in a Collaboration typing a CollaborationUse must have corresponding Connectors between elements bound in the context Classifier, and these corresponding Connectors must have the same or more general type than the Collaboration Connectors. type.ownedConnector->forAll(connector | let rolesConnectedInCollab : Set(ConnectableElement) = connector.end.role->asSet(), relevantBindings : Set(Dependency) = roleBinding->select(rb | rb.supplier->intersection(rolesConnectedInCollab)->notEmpty()), boundRoles : Set(ConnectableElement) = relevantBindings->collect(client.oclAsType(ConnectableElement))->asSet(), contextClassifier : StructuredClassifier = boundRoles->any(true).structuredClassifier->any(true) in contextClassifier.ownedConnector->exists( correspondingConnector | correspondingConnector.end.role->forAll( role | boundRoles->includes(role) ) and (connector.type->notEmpty() and correspondingConnector.type->notEmpty()) implies connector.type->forAll(conformsTo(correspondingConnector.type)) ) )""" raise NotImplementedError("operation connectors(...) not yet implemented") class ClassifierTemplateParameterMixin(object): """User defined mixin class for ClassifierTemplateParameter.""" def has_constraining_classifier(self, diagnostics=None, context=None): """If allowSubstitutable is true, then there must be a constrainingClassifier. allowSubstitutable implies constrainingClassifier->notEmpty()""" raise NotImplementedError( "operation has_constraining_classifier(...) not yet implemented" ) def parametered_element_no_features(self, diagnostics=None, context=None): """The parameteredElement has no direct features, and if constrainedElement is empty it has no generalizations. parameteredElement.feature->isEmpty() and (constrainingClassifier->isEmpty() implies parameteredElement.allParents()->isEmpty())""" raise NotImplementedError( "operation parametered_element_no_features(...) not yet implemented" ) def matching_abstract(self, diagnostics=None, context=None): """If the parameteredElement is not abstract, then the Classifier used as an argument shall not be abstract. (not parameteredElement.isAbstract) implies templateParameterSubstitution.actual->forAll(a | not a.oclAsType(Classifier).isAbstract)""" raise NotImplementedError( "operation matching_abstract(...) not yet implemented" ) def actual_is_classifier(self, diagnostics=None, context=None): """The argument to a ClassifierTemplateParameter is a Classifier. templateParameterSubstitution.actual->forAll(a | a.oclIsKindOf(Classifier))""" raise NotImplementedError( "operation actual_is_classifier(...) not yet implemented" ) def constraining_classifiers_constrain_args(self, diagnostics=None, context=None): """If there are any constrainingClassifiers, then every argument must be the same as or a specialization of them, or if allowSubstitutable is true, then it can also be substitutable. templateParameterSubstitution.actual->forAll( a | let arg : Classifier = a.oclAsType(Classifier) in constrainingClassifier->forAll( cc | arg = cc or arg.conformsTo(cc) or (allowSubstitutable and arg.isSubstitutableFor(cc)) ) )""" raise NotImplementedError( "operation constraining_classifiers_constrain_args(...) not yet implemented" ) def constraining_classifiers_constrain_parametered_element( self, diagnostics=None, context=None ): """If there are any constrainingClassifiers, then the parameteredElement must be the same as or a specialization of them, or if allowSubstitutable is true, then it can also be substitutable. constrainingClassifier->forAll( cc | parameteredElement = cc or parameteredElement.conformsTo(cc) or (allowSubstitutable and parameteredElement.isSubstitutableFor(cc)) )""" raise NotImplementedError( "operation constraining_classifiers_constrain_parametered_element(...) not yet implemented" ) class LinkEndCreationDataMixin(object): """User defined mixin class for LinkEndCreationData.""" def insert_at_pin(self, diagnostics=None, context=None): """LinkEndCreationData for ordered Association ends must have a single insertAt InputPin for the insertion point with type UnlimitedNatural and multiplicity of 1..1, if isReplaceAll=false, and must have no InputPin for the insertion point when the association ends are unordered. if not end.isOrdered then insertAt = null else not isReplaceAll=false implies insertAt <> null and insertAt->forAll(type=UnlimitedNatural and is(1,1)) endif""" raise NotImplementedError("operation insert_at_pin(...) not yet implemented") class LinkEndDestructionDataMixin(object): """User defined mixin class for LinkEndDestructionData.""" def destroy_at_pin(self, diagnostics=None, context=None): """LinkEndDestructionData for ordered, nonunique Association ends must have a single destroyAt InputPin if isDestroyDuplicates is false, which must be of type UnlimitedNatural and have a multiplicity of 1..1. Otherwise, the action has no destroyAt input pin. if not end.isOrdered or end.isUnique or isDestroyDuplicates then destroyAt = null else destroyAt <> null and destroyAt->forAll(type=UnlimitedNatural and is(1,1)) endif""" raise NotImplementedError("operation destroy_at_pin(...) not yet implemented") class MessageMixin(object): """User defined mixin class for Message.""" @property def sending_receiving_message_event(self, diagnostics=None, context=None): """If the sendEvent and the receiveEvent of the same Message are on the same Lifeline, the sendEvent must be ordered before the receiveEvent. receiveEvent.oclIsKindOf(MessageOccurrenceSpecification) implies let f : Lifeline = sendEvent->select(oclIsKindOf(MessageOccurrenceSpecification)).oclAsType(MessageOccurrenceSpecification)->asOrderedSet()->first().covered in f = receiveEvent->select(oclIsKindOf(MessageOccurrenceSpecification)).oclAsType(MessageOccurrenceSpecification)->asOrderedSet()->first().covered implies f.events->indexOf(sendEvent.oclAsType(MessageOccurrenceSpecification)->asOrderedSet()->first() ) < f.events->indexOf(receiveEvent.oclAsType(MessageOccurrenceSpecification)->asOrderedSet()->first() )""" raise NotImplementedError( "operation sending_receiving_message_event(...) not yet implemented" ) def arguments(self, diagnostics=None, context=None): """Arguments of a Message must only be: i) attributes of the sending lifeline, ii) constants, iii) symbolic values (which are wildcard values representing any legal value), iv) explicit parameters of the enclosing Interaction, v) attributes of the class owning the Interaction.""" raise NotImplementedError("operation arguments(...) not yet implemented") def cannot_cross_boundaries(self, diagnostics=None, context=None): """Messages cannot cross boundaries of CombinedFragments or their operands. This is true if and only if both MessageEnds are enclosed within the same InteractionFragment (i.e., an InteractionOperand or an Interaction). sendEvent->notEmpty() and receiveEvent->notEmpty() implies let sendEnclosingFrag : Set(InteractionFragment) = sendEvent->asOrderedSet()->first().enclosingFragment() in let receiveEnclosingFrag : Set(InteractionFragment) = receiveEvent->asOrderedSet()->first().enclosingFragment() in sendEnclosingFrag = receiveEnclosingFrag""" raise NotImplementedError( "operation cannot_cross_boundaries(...) not yet implemented" ) def signature_is_signal(self, diagnostics=None, context=None): """In the case when the Message signature is a Signal, the arguments of the Message must correspond to the attributes of the Signal. A Message Argument corresponds to a Signal Attribute if the Argument is of the same Class or a specialization of that of the Attribute. (messageSort = MessageSort::asynchSignal ) and signature.oclIsKindOf(Signal) implies let signalAttributes : OrderedSet(Property) = signature.oclAsType(Signal).inheritedMember()-> select(n:NamedElement | n.oclIsTypeOf(Property))->collect(oclAsType(Property))->asOrderedSet() in signalAttributes->size() = self.argument->size() and self.argument->forAll( o: ValueSpecification | not (o.oclIsKindOf(Expression) and o.oclAsType(Expression).symbol->size()=0 and o.oclAsType(Expression).operand->isEmpty() ) implies let p : Property = signalAttributes->at(self.argument->indexOf(o)) in o.type.oclAsType(Classifier).conformsTo(p.type.oclAsType(Classifier)))""" raise NotImplementedError( "operation signature_is_signal(...) not yet implemented" ) def occurrence_specifications(self, diagnostics=None, context=None): """If the MessageEnds are both OccurrenceSpecifications, then the connector must go between the Parts represented by the Lifelines of the two MessageEnds.""" raise NotImplementedError( "operation occurrence_specifications(...) not yet implemented" ) def signature_refer_to(self, diagnostics=None, context=None): """The signature must either refer an Operation (in which case messageSort is either synchCall or asynchCall or reply) or a Signal (in which case messageSort is asynchSignal). The name of the NamedElement referenced by signature must be the same as that of the Message. signature->notEmpty() implies ((signature.oclIsKindOf(Operation) and (messageSort = MessageSort::asynchCall or messageSort = MessageSort::synchCall or messageSort = MessageSort::reply) ) or (signature.oclIsKindOf(Signal) and messageSort = MessageSort::asynchSignal ) ) and name = signature.name""" raise NotImplementedError( "operation signature_refer_to(...) not yet implemented" ) def signature_is_operation_request(self, diagnostics=None, context=None): """In the case when a Message with messageSort synchCall or asynchCall has a non empty Operation signature, the arguments of the Message must correspond to the in and inout parameters of the Operation. A Parameter corresponds to an Argument if the Argument is of the same Class or a specialization of that of the Parameter. (messageSort = MessageSort::asynchCall or messageSort = MessageSort::synchCall) and signature.oclIsKindOf(Operation) implies let requestParms : OrderedSet(Parameter) = signature.oclAsType(Operation).ownedParameter-> select(direction = ParameterDirectionKind::inout or direction = ParameterDirectionKind::_'in' ) in requestParms->size() = self.argument->size() and self.argument->forAll( o: ValueSpecification | not (o.oclIsKindOf(Expression) and o.oclAsType(Expression).symbol->size()=0 and o.oclAsType(Expression).operand->isEmpty() ) implies let p : Parameter = requestParms->at(self.argument->indexOf(o)) in o.type.oclAsType(Classifier).conformsTo(p.type.oclAsType(Classifier)) )""" raise NotImplementedError( "operation signature_is_operation_request(...) not yet implemented" ) def signature_is_operation_reply(self, diagnostics=None, context=None): """In the case when a Message with messageSort reply has a non empty Operation signature, the arguments of the Message must correspond to the out, inout, and return parameters of the Operation. A Parameter corresponds to an Argument if the Argument is of the same Class or a specialization of that of the Parameter. (messageSort = MessageSort::reply) and signature.oclIsKindOf(Operation) implies let replyParms : OrderedSet(Parameter) = signature.oclAsType(Operation).ownedParameter-> select(direction = ParameterDirectionKind::inout or direction = ParameterDirectionKind::out or direction = ParameterDirectionKind::return) in replyParms->size() = self.argument->size() and self.argument->forAll( o: ValueSpecification | o.oclIsKindOf(Expression) and let e : Expression = o.oclAsType(Expression) in e.operand->notEmpty() implies let p : Parameter = replyParms->at(self.argument->indexOf(o)) in e.operand->asSequence()->first().type.oclAsType(Classifier).conformsTo(p.type.oclAsType(Classifier)) )""" raise NotImplementedError( "operation signature_is_operation_reply(...) not yet implemented" ) def get_message_kind(self): """This query returns the MessageKind value for this Message. result = (messageKind) <p>From package UML::Interactions.</p>""" raise NotImplementedError("operation get_message_kind(...) not yet implemented") class InteractionFragmentMixin(object): """User defined mixin class for InteractionFragment.""" class LifelineMixin(object): """User defined mixin class for Lifeline.""" def selector_specified(self, diagnostics=None, context=None): """The selector for a Lifeline must only be specified if the referenced Part is multivalued. self.selector->notEmpty() = (self.represents.oclIsKindOf(MultiplicityElement) and self.represents.oclAsType(MultiplicityElement).isMultivalued())""" raise NotImplementedError( "operation selector_specified(...) not yet implemented" ) def interaction_uses_share_lifeline(self, diagnostics=None, context=None): """If a lifeline is in an Interaction referred to by an InteractionUse in an enclosing Interaction, and that lifeline is common with another lifeline in an Interaction referred to by another InteractonUse within that same enclosing Interaction, it must be common to a lifeline within that enclosing Interaction. By common Lifelines we mean Lifelines with the same selector and represents associations. let intUses : Set(InteractionUse) = interaction.interactionUse in intUses->forAll ( iuse : InteractionUse | let usingInteraction : Set(Interaction) = iuse.enclosingInteraction->asSet() ->union( iuse.enclosingOperand.combinedFragment->asSet()->closure(enclosingOperand.combinedFragment).enclosingInteraction->asSet() ) in let peerUses : Set(InteractionUse) = usingInteraction.fragment->select(oclIsKindOf(InteractionUse)).oclAsType(InteractionUse)->asSet() ->union( usingInteraction.fragment->select(oclIsKindOf(CombinedFragment)).oclAsType(CombinedFragment)->asSet() ->closure(operand.fragment->select(oclIsKindOf(CombinedFragment)).oclAsType(CombinedFragment)).operand.fragment-> select(oclIsKindOf(InteractionUse)).oclAsType(InteractionUse)->asSet() )->excluding(iuse) in peerUses->forAll( peerUse : InteractionUse | peerUse.refersTo.lifeline->forAll( l : Lifeline | (l.represents = self.represents and ( self.selector.oclIsKindOf(LiteralString) implies l.selector.oclIsKindOf(LiteralString) and self.selector.oclAsType(LiteralString).value = l.selector.oclAsType(LiteralString).value ) and ( self.selector.oclIsKindOf(LiteralInteger) implies l.selector.oclIsKindOf(LiteralInteger) and self.selector.oclAsType(LiteralInteger).value = l.selector.oclAsType(LiteralInteger).value ) ) implies usingInteraction.lifeline->exists(represents = self.represents and ( self.selector.oclIsKindOf(LiteralString) implies l.selector.oclIsKindOf(LiteralString) and self.selector.oclAsType(LiteralString).value = l.selector.oclAsType(LiteralString).value ) and ( self.selector.oclIsKindOf(LiteralInteger) implies l.selector.oclIsKindOf(LiteralInteger) and self.selector.oclAsType(LiteralInteger).value = l.selector.oclAsType(LiteralInteger).value ) ) ) ) )""" raise NotImplementedError( "operation interaction_uses_share_lifeline(...) not yet implemented" ) def same_classifier(self, diagnostics=None, context=None): """The classifier containing the referenced ConnectableElement must be the same classifier, or an ancestor, of the classifier that contains the interaction enclosing this lifeline. represents.namespace->closure(namespace)->includes(interaction._'context')""" raise NotImplementedError("operation same_classifier(...) not yet implemented") def selector_int_or_string(self, diagnostics=None, context=None): """The selector value, if present, must be a LiteralString or a LiteralInteger self.selector->notEmpty() implies self.selector.oclIsKindOf(LiteralInteger) or self.selector.oclIsKindOf(LiteralString)""" raise NotImplementedError( "operation selector_int_or_string(...) not yet implemented" ) class MessageEndMixin(object): """User defined mixin class for MessageEnd.""" def opposite_end(self): """This query returns a set including the MessageEnd (if exists) at the opposite end of the Message for this MessageEnd. message->notEmpty() result = (message->asSet().messageEnd->asSet()->excluding(self)) <p>From package UML::Interactions.</p>""" raise NotImplementedError("operation opposite_end(...) not yet implemented") def is_send(self): """This query returns value true if this MessageEnd is a sendEvent. message->notEmpty() result = (message.sendEvent->asSet()->includes(self)) <p>From package UML::Interactions.</p>""" raise NotImplementedError("operation is_send(...) not yet implemented") def is_receive(self): """This query returns value true if this MessageEnd is a receiveEvent. message->notEmpty() result = (message.receiveEvent->asSet()->includes(self)) <p>From package UML::Interactions.</p>""" raise NotImplementedError("operation is_receive(...) not yet implemented") def enclosing_fragment(self): """This query returns a set including the enclosing InteractionFragment this MessageEnd is enclosed within. result = (if self->select(oclIsKindOf(Gate))->notEmpty() then -- it is a Gate let endGate : Gate = self->select(oclIsKindOf(Gate)).oclAsType(Gate)->asOrderedSet()->first() in if endGate.isOutsideCF() then endGate.combinedFragment.enclosingInteraction.oclAsType(InteractionFragment)->asSet()-> union(endGate.combinedFragment.enclosingOperand.oclAsType(InteractionFragment)->asSet()) else if endGate.isInsideCF() then endGate.combinedFragment.oclAsType(InteractionFragment)->asSet() else if endGate.isFormal() then endGate.interaction.oclAsType(InteractionFragment)->asSet() else if endGate.isActual() then endGate.interactionUse.enclosingInteraction.oclAsType(InteractionFragment)->asSet()-> union(endGate.interactionUse.enclosingOperand.oclAsType(InteractionFragment)->asSet()) else null endif endif endif endif else -- it is a MessageOccurrenceSpecification let endMOS : MessageOccurrenceSpecification = self->select(oclIsKindOf(MessageOccurrenceSpecification)).oclAsType(MessageOccurrenceSpecification)->asOrderedSet()->first() in if endMOS.enclosingInteraction->notEmpty() then endMOS.enclosingInteraction.oclAsType(InteractionFragment)->asSet() else endMOS.enclosingOperand.oclAsType(InteractionFragment)->asSet() endif endif) <p>From package UML::Interactions.</p>""" raise NotImplementedError( "operation enclosing_fragment(...) not yet implemented" ) class GeneralOrderingMixin(object): """User defined mixin class for GeneralOrdering.""" def irreflexive_transitive_closure(self, diagnostics=None, context=None): """An occurrence specification must not be ordered relative to itself through a series of general orderings. (In other words, the transitive closure of the general orderings is irreflexive.) after->closure(toAfter.after)->excludes(before)""" raise NotImplementedError( "operation irreflexive_transitive_closure(...) not yet implemented" ) class PackageableElementMixin(object): """User defined mixin class for PackageableElement.""" def namespace_needs_visibility(self, diagnostics=None, context=None): """A PackageableElement owned by a Namespace must have a visibility. visibility = null implies namespace = null""" raise NotImplementedError( "operation namespace_needs_visibility(...) not yet implemented" ) class TemplateBindingMixin(object): """User defined mixin class for TemplateBinding.""" def parameter_substitution_formal(self, diagnostics=None, context=None): """Each parameterSubstitution must refer to a formal TemplateParameter of the target TemplateSignature. parameterSubstitution->forAll(b | signature.parameter->includes(b.formal))""" raise NotImplementedError( "operation parameter_substitution_formal(...) not yet implemented" ) def one_parameter_substitution(self, diagnostics=None, context=None): """A TemplateBiinding contains at most one TemplateParameterSubstitution for each formal TemplateParameter of the target TemplateSignature. signature.parameter->forAll(p | parameterSubstitution->select(b | b.formal = p)->size() <= 1)""" raise NotImplementedError( "operation one_parameter_substitution(...) not yet implemented" ) class FeatureMixin(object): """User defined mixin class for Feature.""" class PseudostateMixin(object): """User defined mixin class for Pseudostate.""" def transitions_outgoing(self, diagnostics=None, context=None): """All transitions outgoing a fork vertex must target states in different regions of an orthogonal state. (kind = PseudostateKind::fork) implies -- for any pair of outgoing transitions there exists an orthogonal state which contains the targets of these transitions -- such that these targets belong to different regions of that orthogonal state outgoing->forAll(t1:Transition, t2:Transition | let contState:State = containingStateMachine().LCAState(t1.target, t2.target) in ((contState <> null) and (contState.region ->exists(r1:Region, r2: Region | (r1 <> r2) and t1.target.isContainedInRegion(r1) and t2.target.isContainedInRegion(r2)))))""" raise NotImplementedError( "operation transitions_outgoing(...) not yet implemented" ) def choice_vertex(self, diagnostics=None, context=None): """In a complete statemachine, a choice Vertex must have at least one incoming and one outgoing Transition. (kind = PseudostateKind::choice) implies (incoming->size() >= 1 and outgoing->size() >= 1)""" raise NotImplementedError("operation choice_vertex(...) not yet implemented") def outgoing_from_initial(self, diagnostics=None, context=None): """The outgoing Transition from an initial vertex may have a behavior, but not a trigger or a guard. (kind = PseudostateKind::initial) implies (outgoing.guard = null and outgoing.trigger->isEmpty())""" raise NotImplementedError( "operation outgoing_from_initial(...) not yet implemented" ) def join_vertex(self, diagnostics=None, context=None): """In a complete StateMachine, a join Vertex must have at least two incoming Transitions and exactly one outgoing Transition. (kind = PseudostateKind::join) implies (outgoing->size() = 1 and incoming->size() >= 2)""" raise NotImplementedError("operation join_vertex(...) not yet implemented") def junction_vertex(self, diagnostics=None, context=None): """In a complete StateMachine, a junction Vertex must have at least one incoming and one outgoing Transition. (kind = PseudostateKind::junction) implies (incoming->size() >= 1 and outgoing->size() >= 1)""" raise NotImplementedError("operation junction_vertex(...) not yet implemented") def history_vertices(self, diagnostics=None, context=None): """History Vertices can have at most one outgoing Transition. ((kind = PseudostateKind::deepHistory) or (kind = PseudostateKind::shallowHistory)) implies (outgoing->size() <= 1)""" raise NotImplementedError("operation history_vertices(...) not yet implemented") def initial_vertex(self, diagnostics=None, context=None): """An initial Vertex can have at most one outgoing Transition. (kind = PseudostateKind::initial) implies (outgoing->size() <= 1)""" raise NotImplementedError("operation initial_vertex(...) not yet implemented") def fork_vertex(self, diagnostics=None, context=None): """In a complete StateMachine, a fork Vertex must have at least two outgoing Transitions and exactly one incoming Transition. (kind = PseudostateKind::fork) implies (incoming->size() = 1 and outgoing->size() >= 2)""" raise NotImplementedError("operation fork_vertex(...) not yet implemented") def transitions_incoming(self, diagnostics=None, context=None): """All Transitions incoming a join Vertex must originate in different Regions of an orthogonal State. (kind = PseudostateKind::join) implies -- for any pair of incoming transitions there exists an orthogonal state which contains the source vetices of these transitions -- such that these source vertices belong to different regions of that orthogonal state incoming->forAll(t1:Transition, t2:Transition | let contState:State = containingStateMachine().LCAState(t1.source, t2.source) in ((contState <> null) and (contState.region ->exists(r1:Region, r2: Region | (r1 <> r2) and t1.source.isContainedInRegion(r1) and t2.source.isContainedInRegion(r2)))))""" raise NotImplementedError( "operation transitions_incoming(...) not yet implemented" ) class ConnectionPointReferenceMixin(object): """User defined mixin class for ConnectionPointReference.""" def exit_pseudostates(self, diagnostics=None, context=None): """The exit Pseudostates must be Pseudostates with kind exitPoint. exit->forAll(kind = PseudostateKind::exitPoint)""" raise NotImplementedError( "operation exit_pseudostates(...) not yet implemented" ) def entry_pseudostates(self, diagnostics=None, context=None): """The entry Pseudostates must be Pseudostates with kind entryPoint. entry->forAll(kind = PseudostateKind::entryPoint)""" raise NotImplementedError( "operation entry_pseudostates(...) not yet implemented" ) class ProtocolConformanceMixin(object): """User defined mixin class for ProtocolConformance.""" class PackageMergeMixin(object): """User defined mixin class for PackageMerge.""" class ProfileApplicationMixin(object): """User defined mixin class for ProfileApplication.""" def get_applied_definition(self): """Retrieves the definition (Ecore representation) of the profile associated with this profile application.""" raise NotImplementedError( "operation get_applied_definition(...) not yet implemented" ) def get_applied_definition(self, namedElement=None): """Retrieves the definition (Ecore representation) of the specified named element in the profile associated with this profile application.""" raise NotImplementedError( "operation get_applied_definition(...) not yet implemented" ) class ElementImportMixin(object): """User defined mixin class for ElementImport.""" def imported_element_is_public(self, diagnostics=None, context=None): """An importedElement has either public visibility or no visibility at all. importedElement.visibility <> null implies importedElement.visibility = VisibilityKind::public""" raise NotImplementedError( "operation imported_element_is_public(...) not yet implemented" ) def visibility_public_or_private(self, diagnostics=None, context=None): """The visibility of an ElementImport is either public or private. visibility = VisibilityKind::public or visibility = VisibilityKind::private""" raise NotImplementedError( "operation visibility_public_or_private(...) not yet implemented" ) def get_name(self): """The query getName() returns the name under which the imported PackageableElement will be known in the importing namespace. result = (if alias->notEmpty() then alias else importedElement.name endif) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError("operation get_name(...) not yet implemented") class PackageImportMixin(object): """User defined mixin class for PackageImport.""" def public_or_private(self, diagnostics=None, context=None): """The visibility of a PackageImport is either public or private. visibility = VisibilityKind::public or visibility = VisibilityKind::private""" raise NotImplementedError( "operation public_or_private(...) not yet implemented" ) class GeneralizationMixin(object): """User defined mixin class for Generalization.""" class ExtensionPointMixin(object): """User defined mixin class for ExtensionPoint.""" def must_have_name(self, diagnostics=None, context=None): """An ExtensionPoint must have a name. name->notEmpty ()""" raise NotImplementedError("operation must_have_name(...) not yet implemented") class ActivityGroupMixin(object): """User defined mixin class for ActivityGroup.""" @property @inActivity.setter @property def nodes_and_edges(self, diagnostics=None, context=None): """All containedNodes and containeEdges of an ActivityGroup must be in the same Activity as the group. containedNode->forAll(activity = self.containingActivity()) and containedEdge->forAll(activity = self.containingActivity())""" raise NotImplementedError("operation nodes_and_edges(...) not yet implemented") def not_contained(self, diagnostics=None, context=None): """No containedNode or containedEdge of an ActivityGroup may be contained by its subgroups or its superGroups, transitively. subgroup->closure(subgroup).containedNode->excludesAll(containedNode) and superGroup->closure(superGroup).containedNode->excludesAll(containedNode) and subgroup->closure(subgroup).containedEdge->excludesAll(containedEdge) and superGroup->closure(superGroup).containedEdge->excludesAll(containedEdge)""" raise NotImplementedError("operation not_contained(...) not yet implemented") class ActivityEdgeMixin(object): """User defined mixin class for ActivityEdge.""" def source_and_target(self, diagnostics=None, context=None): """If an ActivityEdge is directly owned by an Activity, then its source and target must be directly or indirectly contained in the same Activity. activity<>null implies source.containingActivity() = activity and target.containingActivity() = activity""" raise NotImplementedError( "operation source_and_target(...) not yet implemented" ) class InteractionUseMixin(object): """User defined mixin class for InteractionUse.""" def gates_match(self, diagnostics=None, context=None): """Actual Gates of the InteractionUse must match Formal Gates of the referred Interaction. Gates match when their names are equal and their messages correspond. actualGate->notEmpty() implies refersTo.formalGate->forAll( fg : Gate | self.actualGate->select(matches(fg))->size()=1) and self.actualGate->forAll(ag : Gate | refersTo.formalGate->select(matches(ag))->size()=1)""" raise NotImplementedError("operation gates_match(...) not yet implemented") def arguments_are_constants(self, diagnostics=None, context=None): """The arguments must only be constants, parameters of the enclosing Interaction or attributes of the classifier owning the enclosing Interaction.""" raise NotImplementedError( "operation arguments_are_constants(...) not yet implemented" ) def return_value_recipient_coverage(self, diagnostics=None, context=None): """The returnValueRecipient must be a Property of a ConnectableElement that is represented by a Lifeline covered by this InteractionUse. returnValueRecipient->asSet()->notEmpty() implies let covCE : Set(ConnectableElement) = covered.represents->asSet() in covCE->notEmpty() and let classes:Set(Classifier) = covCE.type.oclIsKindOf(Classifier).oclAsType(Classifier)->asSet() in let allProps : Set(Property) = classes.attribute->union(classes.allParents().attribute)->asSet() in allProps->includes(returnValueRecipient)""" raise NotImplementedError( "operation return_value_recipient_coverage(...) not yet implemented" ) def arguments_correspond_to_parameters(self, diagnostics=None, context=None): """The arguments of the InteractionUse must correspond to parameters of the referred Interaction.""" raise NotImplementedError( "operation arguments_correspond_to_parameters(...) not yet implemented" ) def return_value_type_recipient_correspondence( self, diagnostics=None, context=None ): """The type of the returnValue must correspond to the type of the returnValueRecipient. returnValue.type->asSequence()->notEmpty() implies returnValue.type->asSequence()->first() = returnValueRecipient.type->asSequence()->first()""" raise NotImplementedError( "operation return_value_type_recipient_correspondence(...) not yet implemented" ) def all_lifelines(self, diagnostics=None, context=None): """The InteractionUse must cover all Lifelines of the enclosing Interaction that are common with the lifelines covered by the referred Interaction. Lifelines are common if they have the same selector and represents associationEnd values. let parentInteraction : Set(Interaction) = enclosingInteraction->asSet()-> union(enclosingOperand.combinedFragment->closure(enclosingOperand.combinedFragment)-> collect(enclosingInteraction).oclAsType(Interaction)->asSet()) in parentInteraction->size()=1 and let refInteraction : Interaction = refersTo in parentInteraction.covered-> forAll(intLifeline : Lifeline | refInteraction.covered-> forAll( refLifeline : Lifeline | refLifeline.represents = intLifeline.represents and ( ( refLifeline.selector.oclIsKindOf(LiteralString) implies intLifeline.selector.oclIsKindOf(LiteralString) and refLifeline.selector.oclAsType(LiteralString).value = intLifeline.selector.oclAsType(LiteralString).value ) and ( refLifeline.selector.oclIsKindOf(LiteralInteger) implies intLifeline.selector.oclIsKindOf(LiteralInteger) and refLifeline.selector.oclAsType(LiteralInteger).value = intLifeline.selector.oclAsType(LiteralInteger).value ) ) implies self.covered->asSet()->includes(intLifeline)))""" raise NotImplementedError("operation all_lifelines(...) not yet implemented") class GateMixin(object): """User defined mixin class for Gate.""" def actual_gate_matched(self, diagnostics=None, context=None): """If this Gate is an actualGate, it must have exactly one matching formalGate within the referred Interaction. interactionUse->notEmpty() implies interactionUse.refersTo.formalGate->select(matches(self))->size()=1""" raise NotImplementedError( "operation actual_gate_matched(...) not yet implemented" ) def inside_cf_matched(self, diagnostics=None, context=None): """If this Gate is inside a CombinedFragment, it must have exactly one matching Gate which is outside of that CombinedFragment. isInsideCF() implies combinedFragment.cfragmentGate->select(isOutsideCF() and matches(self))->size()=1""" raise NotImplementedError( "operation inside_cf_matched(...) not yet implemented" ) def outside_cf_matched(self, diagnostics=None, context=None): """If this Gate is outside an 'alt' CombinedFragment, for every InteractionOperator inside that CombinedFragment there must be exactly one matching Gate inside the CombindedFragment with its opposing end enclosed by that InteractionOperator. If this Gate is outside CombinedFragment with operator other than 'alt', there must be exactly one matching Gate inside that CombinedFragment. isOutsideCF() implies if self.combinedFragment.interactionOperator->asOrderedSet()->first() = InteractionOperatorKind::alt then self.combinedFragment.operand->forAll(op : InteractionOperand | self.combinedFragment.cfragmentGate->select(isInsideCF() and oppositeEnd().enclosingFragment()->includes(self.combinedFragment) and matches(self))->size()=1) else self.combinedFragment.cfragmentGate->select(isInsideCF() and matches(self))->size()=1 endif""" raise NotImplementedError( "operation outside_cf_matched(...) not yet implemented" ) def formal_gate_distinguishable(self, diagnostics=None, context=None): """isFormal() implies that no other formalGate of the parent Interaction returns the same getName() as returned for self isFormal() implies interaction.formalGate->select(getName() = self.getName())->size()=1""" raise NotImplementedError( "operation formal_gate_distinguishable(...) not yet implemented" ) def actual_gate_distinguishable(self, diagnostics=None, context=None): """isActual() implies that no other actualGate of the parent InteractionUse returns the same getName() as returned for self isActual() implies interactionUse.actualGate->select(getName() = self.getName())->size()=1""" raise NotImplementedError( "operation actual_gate_distinguishable(...) not yet implemented" ) def outside_cf_gate_distinguishable(self, diagnostics=None, context=None): """isOutsideCF() implies that no other outside cfragmentGate of the parent CombinedFragment returns the same getName() as returned for self isOutsideCF() implies combinedFragment.cfragmentGate->select(getName() = self.getName())->size()=1""" raise NotImplementedError( "operation outside_cf_gate_distinguishable(...) not yet implemented" ) def inside_cf_gate_distinguishable(self, diagnostics=None, context=None): """isInsideCF() implies that no other inside cfragmentGate attached to a message with its other end in the same InteractionOperator as self, returns the same getName() as returned for self isInsideCF() implies let selfOperand : InteractionOperand = self.getOperand() in combinedFragment.cfragmentGate->select(isInsideCF() and getName() = self.getName())->select(getOperand() = selfOperand)->size()=1""" raise NotImplementedError( "operation inside_cf_gate_distinguishable(...) not yet implemented" ) def is_outside_cf(self): """This query returns true if this Gate is attached to the boundary of a CombinedFragment, and its other end (if present) is outside of the same CombinedFragment. result = (self.oppositeEnd()-> notEmpty() and combinedFragment->notEmpty() implies let oppEnd : MessageEnd = self.oppositeEnd()->asOrderedSet()->first() in if oppEnd.oclIsKindOf(MessageOccurrenceSpecification) then let oppMOS : MessageOccurrenceSpecification = oppEnd.oclAsType(MessageOccurrenceSpecification) in self.combinedFragment.enclosingInteraction.oclAsType(InteractionFragment)->asSet()-> union(self.combinedFragment.enclosingOperand.oclAsType(InteractionFragment)->asSet()) = oppMOS.enclosingInteraction.oclAsType(InteractionFragment)->asSet()-> union(oppMOS.enclosingOperand.oclAsType(InteractionFragment)->asSet()) else let oppGate : Gate = oppEnd.oclAsType(Gate) in self.combinedFragment.enclosingInteraction.oclAsType(InteractionFragment)->asSet()-> union(self.combinedFragment.enclosingOperand.oclAsType(InteractionFragment)->asSet()) = oppGate.combinedFragment.enclosingInteraction.oclAsType(InteractionFragment)->asSet()-> union(oppGate.combinedFragment.enclosingOperand.oclAsType(InteractionFragment)->asSet()) endif) <p>From package UML::Interactions.</p>""" raise NotImplementedError("operation is_outside_cf(...) not yet implemented") def is_inside_cf(self): """This query returns true if this Gate is attached to the boundary of a CombinedFragment, and its other end (if present) is inside of an InteractionOperator of the same CombinedFragment. result = (self.oppositeEnd()-> notEmpty() and combinedFragment->notEmpty() implies let oppEnd : MessageEnd = self.oppositeEnd()->asOrderedSet()->first() in if oppEnd.oclIsKindOf(MessageOccurrenceSpecification) then let oppMOS : MessageOccurrenceSpecification = oppEnd.oclAsType(MessageOccurrenceSpecification) in combinedFragment = oppMOS.enclosingOperand.combinedFragment else let oppGate : Gate = oppEnd.oclAsType(Gate) in combinedFragment = oppGate.combinedFragment.enclosingOperand.combinedFragment endif) <p>From package UML::Interactions.</p>""" raise NotImplementedError("operation is_inside_cf(...) not yet implemented") def is_actual(self): """This query returns true value if this Gate is an actualGate of an InteractionUse. result = (interactionUse->notEmpty()) <p>From package UML::Interactions.</p>""" raise NotImplementedError("operation is_actual(...) not yet implemented") def is_formal(self): """This query returns true if this Gate is a formalGate of an Interaction. result = (interaction->notEmpty()) <p>From package UML::Interactions.</p>""" raise NotImplementedError("operation is_formal(...) not yet implemented") def get_name(self): """This query returns the name of the gate, either the explicit name (.name) or the constructed name ('out_" or 'in_' concatenated in front of .message.name) if the explicit name is not present. result = (if name->notEmpty() then name->asOrderedSet()->first() else if isActual() or isOutsideCF() then if isSend() then 'out_'.concat(self.message.name->asOrderedSet()->first()) else 'in_'.concat(self.message.name->asOrderedSet()->first()) endif else if isSend() then 'in_'.concat(self.message.name->asOrderedSet()->first()) else 'out_'.concat(self.message.name->asOrderedSet()->first()) endif endif endif) <p>From package UML::Interactions.</p>""" raise NotImplementedError("operation get_name(...) not yet implemented") def matches(self, gateToMatch=None): """This query returns true if the name of this Gate matches the name of the in parameter Gate, and the messages for the two Gates correspond. The Message for one Gate (say A) corresponds to the Message for another Gate (say B) if (A and B have the same name value) and (if A is a sendEvent then B is a receiveEvent) and (if A is a receiveEvent then B is a sendEvent) and (A and B have the same messageSort value) and (A and B have the same signature value). result = (self.getName() = gateToMatch.getName() and self.message.messageSort = gateToMatch.message.messageSort and self.message.name = gateToMatch.message.name and self.message.sendEvent->includes(self) implies gateToMatch.message.receiveEvent->includes(gateToMatch) and self.message.receiveEvent->includes(self) implies gateToMatch.message.sendEvent->includes(gateToMatch) and self.message.signature = gateToMatch.message.signature) <p>From package UML::Interactions.</p>""" raise NotImplementedError("operation matches(...) not yet implemented") def get_operand(self): """If the Gate is an inside Combined Fragment Gate, this operation returns the InteractionOperand that the opposite end of this Gate is included within. result = (if isInsideCF() then let oppEnd : MessageEnd = self.oppositeEnd()->asOrderedSet()->first() in if oppEnd.oclIsKindOf(MessageOccurrenceSpecification) then let oppMOS : MessageOccurrenceSpecification = oppEnd.oclAsType(MessageOccurrenceSpecification) in oppMOS.enclosingOperand->asOrderedSet()->first() else let oppGate : Gate = oppEnd.oclAsType(Gate) in oppGate.combinedFragment.enclosingOperand->asOrderedSet()->first() endif else null endif) <p>From package UML::Interactions.</p>""" raise NotImplementedError("operation get_operand(...) not yet implemented") class OccurrenceSpecificationMixin(object): """User defined mixin class for OccurrenceSpecification.""" def get_covered(self): """Returns the Lifeline on which the OccurrenceSpecification appears.""" raise NotImplementedError("operation get_covered(...) not yet implemented") def set_covered(self, value=None): """Sets the Lifeline on which the OccurrenceSpecification appears.""" raise NotImplementedError("operation set_covered(...) not yet implemented") class ExecutionSpecificationMixin(object): """User defined mixin class for ExecutionSpecification.""" def same_lifeline(self, diagnostics=None, context=None): """The startEvent and the finishEvent must be on the same Lifeline. start.covered = finish.covered""" raise NotImplementedError("operation same_lifeline(...) not yet implemented") class CombinedFragmentMixin(object): """User defined mixin class for CombinedFragment.""" def break_(self, diagnostics=None, context=None): """If the interactionOperator is break, the corresponding InteractionOperand must cover all Lifelines covered by the enclosing InteractionFragment. interactionOperator=InteractionOperatorKind::break implies enclosingInteraction.oclAsType(InteractionFragment)->asSet()->union( enclosingOperand.oclAsType(InteractionFragment)->asSet()).covered->asSet() = self.covered->asSet()""" raise NotImplementedError("operation break_(...) not yet implemented") def consider_and_ignore(self, diagnostics=None, context=None): """The interaction operators 'consider' and 'ignore' can only be used for the ConsiderIgnoreFragment subtype of CombinedFragment ((interactionOperator = InteractionOperatorKind::consider) or (interactionOperator = InteractionOperatorKind::ignore)) implies oclIsKindOf(ConsiderIgnoreFragment)""" raise NotImplementedError( "operation consider_and_ignore(...) not yet implemented" ) def opt_loop_break_neg(self, diagnostics=None, context=None): """If the interactionOperator is opt, loop, break, assert or neg, there must be exactly one operand. (interactionOperator = InteractionOperatorKind::opt or interactionOperator = InteractionOperatorKind::loop or interactionOperator = InteractionOperatorKind::break or interactionOperator = InteractionOperatorKind::assert or interactionOperator = InteractionOperatorKind::neg) implies operand->size()=1""" raise NotImplementedError( "operation opt_loop_break_neg(...) not yet implemented" ) class ContinuationMixin(object): """User defined mixin class for Continuation.""" def first_or_last_interaction_fragment(self, diagnostics=None, context=None): """Continuations always occur as the very first InteractionFragment or the very last InteractionFragment of the enclosing InteractionOperand. enclosingOperand->notEmpty() and let peerFragments : OrderedSet(InteractionFragment) = enclosingOperand.fragment in ( peerFragments->notEmpty() and ((peerFragments->first() = self) or (peerFragments->last() = self)))""" raise NotImplementedError( "operation first_or_last_interaction_fragment(...) not yet implemented" ) def same_name(self, diagnostics=None, context=None): """Across all Interaction instances having the same context value, every Lifeline instance covered by a Continuation (self) must be common with one covered Lifeline instance of all other Continuation instances with the same name as self, and every Lifeline instance covered by a Continuation instance with the same name as self must be common with one covered Lifeline instance of self. Lifeline instances are common if they have the same selector and represents associationEnd values. enclosingOperand.combinedFragment->notEmpty() and let parentInteraction : Set(Interaction) = enclosingOperand.combinedFragment->closure(enclosingOperand.combinedFragment)-> collect(enclosingInteraction).oclAsType(Interaction)->asSet() in (parentInteraction->size() = 1) and let peerInteractions : Set(Interaction) = (parentInteraction->union(parentInteraction->collect(_'context')->collect(behavior)-> select(oclIsKindOf(Interaction)).oclAsType(Interaction)->asSet())->asSet()) in (peerInteractions->notEmpty()) and let combinedFragments1 : Set(CombinedFragment) = peerInteractions.fragment-> select(oclIsKindOf(CombinedFragment)).oclAsType(CombinedFragment)->asSet() in combinedFragments1->notEmpty() and combinedFragments1->closure(operand.fragment-> select(oclIsKindOf(CombinedFragment)).oclAsType(CombinedFragment))->asSet().operand.fragment-> select(oclIsKindOf(Continuation)).oclAsType(Continuation)->asSet()-> forAll(c : Continuation | (c.name = self.name) implies (c.covered->asSet()->forAll(cl : Lifeline | -- cl must be common to one lifeline covered by self self.covered->asSet()-> select(represents = cl.represents and selector = cl.selector)->asSet()->size()=1)) and (self.covered->asSet()->forAll(cl : Lifeline | -- cl must be common to one lifeline covered by c c.covered->asSet()-> select(represents = cl.represents and selector = cl.selector)->asSet()->size()=1)) )""" raise NotImplementedError("operation same_name(...) not yet implemented") def global_(self, diagnostics=None, context=None): """Continuations are always global in the enclosing InteractionFragment e.g., it always covers all Lifelines covered by the enclosing InteractionOperator. enclosingOperand->notEmpty() and let operandLifelines : Set(Lifeline) = enclosingOperand.covered in (operandLifelines->notEmpty() and operandLifelines->forAll(ol :Lifeline |self.covered->includes(ol)))""" raise NotImplementedError("operation global_(...) not yet implemented") class StateInvariantMixin(object): """User defined mixin class for StateInvariant.""" class TypeMixin(object): """User defined mixin class for Type.""" @property @package.setter def create_association( self, end1IsNavigable=None, end1Aggregation=None, end1Name=None, end1Lower=None, end1Upper=None, end1Type=None, end2IsNavigable=None, end2Aggregation=None, end2Name=None, end2Lower=None, end2Upper=None, ): """Creates a(n) (binary) association between this type and the specified other type, with the specified navigabilities, aggregations, names, lower bounds, and upper bounds, and owned by this type's nearest package.""" raise NotImplementedError( "operation create_association(...) not yet implemented" ) def get_associations(self): """Retrieves the associations in which this type is involved.""" raise NotImplementedError("operation get_associations(...) not yet implemented") def conforms_to(self, other=None): """The query conformsTo() gives true for a Type that conforms to another. By default, two Types do not conform to each other. This query is intended to be redefined for specific conformance situations. result = (false) <p>From package UML::CommonStructure.</p>""" raise NotImplementedError("operation conforms_to(...) not yet implemented") class ConnectableElementMixin(object): """User defined mixin class for ConnectableElement.""" def get_ends(self): """Derivation for ConnectableElement::/end : ConnectorEnd result = (ConnectorEnd.allInstances()->select(role = self)) <p>From package UML::StructuredClassifiers.</p>""" raise NotImplementedError("operation get_ends(...) not yet implemented") class ConstraintMixin(object): """User defined mixin class for Constraint.""" def boolean_value(self, diagnostics=None, context=None): """The ValueSpecification for a Constraint must evaluate to a Boolean value.""" raise NotImplementedError("operation boolean_value(...) not yet implemented") def no_side_effects(self, diagnostics=None, context=None): """Evaluating the ValueSpecification for a Constraint must not have side effects.""" raise NotImplementedError("operation no_side_effects(...) not yet implemented") def not_apply_to_self(self, diagnostics=None, context=None): """A Constraint cannot be applied to itself. not constrainedElement->includes(self)""" raise NotImplementedError( "operation not_apply_to_self(...) not yet implemented" ) class RegionMixin(object): """User defined mixin class for Region.""" def deep_history_vertex(self, diagnostics=None, context=None): """A Region can have at most one deep history Vertex. self.subvertex->select (oclIsKindOf(Pseudostate))->collect(oclAsType(Pseudostate))-> select(kind = PseudostateKind::deepHistory)->size() <= 1""" raise NotImplementedError( "operation deep_history_vertex(...) not yet implemented" ) def shallow_history_vertex(self, diagnostics=None, context=None): """A Region can have at most one shallow history Vertex. subvertex->select(oclIsKindOf(Pseudostate))->collect(oclAsType(Pseudostate))-> select(kind = PseudostateKind::shallowHistory)->size() <= 1""" raise NotImplementedError( "operation shallow_history_vertex(...) not yet implemented" ) def owned(self, diagnostics=None, context=None): """If a Region is owned by a StateMachine, then it cannot also be owned by a State and vice versa. (stateMachine <> null implies state = null) and (state <> null implies stateMachine = null)""" raise NotImplementedError("operation owned(...) not yet implemented") def initial_vertex(self, diagnostics=None, context=None): """A Region can have at most one initial Vertex. self.subvertex->select (oclIsKindOf(Pseudostate))->collect(oclAsType(Pseudostate))-> select(kind = PseudostateKind::initial)->size() <= 1""" raise NotImplementedError("operation initial_vertex(...) not yet implemented") def belongs_to_psm(self): """The operation belongsToPSM () checks if the Region belongs to a ProtocolStateMachine. result = (if stateMachine <> null then stateMachine.oclIsKindOf(ProtocolStateMachine) else state <> null implies state.container.belongsToPSM() endif ) <p>From package UML::StateMachines.</p>""" raise NotImplementedError("operation belongs_to_psm(...) not yet implemented") def containing_state_machine(self): """The operation containingStateMachine() returns the StateMachine in which this Region is defined. result = (if stateMachine = null then state.containingStateMachine() else stateMachine endif) <p>From package UML::StateMachines.</p>""" raise NotImplementedError( "operation containing_state_machine(...) not yet implemented" ) def redefinition_context(self): """The redefinition context of a Region is the nearest containing StateMachine. result = (let sm : StateMachine = containingStateMachine() in if sm._'context' = null or sm.general->notEmpty() then sm else sm._'context' endif) <p>From package UML::StateMachines.</p>""" raise NotImplementedError( "operation redefinition_context(...) not yet implemented" ) class EventMixin(object): """User defined mixin class for Event.""" class TransitionMixin(object): """User defined mixin class for Transition.""" def state_is_external(self, diagnostics=None, context=None): """A Transition with kind external can source any Vertex except entry points. (kind = TransitionKind::external) implies not (source.oclIsKindOf(Pseudostate) and source.oclAsType(Pseudostate).kind = PseudostateKind::entryPoint)""" raise NotImplementedError( "operation state_is_external(...) not yet implemented" ) def join_segment_guards(self, diagnostics=None, context=None): """A join segment must not have Guards or Triggers. (target.oclIsKindOf(Pseudostate) and target.oclAsType(Pseudostate).kind = PseudostateKind::join) implies (guard = null and trigger->isEmpty())""" raise NotImplementedError( "operation join_segment_guards(...) not yet implemented" ) def state_is_internal(self, diagnostics=None, context=None): """A Transition with kind internal must have a State as its source, and its source and target must be equal. (kind = TransitionKind::internal) implies (source.oclIsKindOf (State) and source = target)""" raise NotImplementedError( "operation state_is_internal(...) not yet implemented" ) def outgoing_pseudostates(self, diagnostics=None, context=None): """Transitions outgoing Pseudostates may not have a Trigger. source.oclIsKindOf(Pseudostate) and (source.oclAsType(Pseudostate).kind <> PseudostateKind::initial) implies trigger->isEmpty()""" raise NotImplementedError( "operation outgoing_pseudostates(...) not yet implemented" ) def join_segment_state(self, diagnostics=None, context=None): """A join segment must always originate from a State. (target.oclIsKindOf(Pseudostate) and target.oclAsType(Pseudostate).kind = PseudostateKind::join) implies (source.oclIsKindOf(State))""" raise NotImplementedError( "operation join_segment_state(...) not yet implemented" ) def fork_segment_state(self, diagnostics=None, context=None): """A fork segment must always target a State. (source.oclIsKindOf(Pseudostate) and source.oclAsType(Pseudostate).kind = PseudostateKind::fork) implies (target.oclIsKindOf(State))""" raise NotImplementedError( "operation fork_segment_state(...) not yet implemented" ) def state_is_local(self, diagnostics=None, context=None): """A Transition with kind local must have a composite State or an entry point as its source. (kind = TransitionKind::local) implies ((source.oclIsKindOf (State) and source.oclAsType(State).isComposite) or (source.oclIsKindOf (Pseudostate) and source.oclAsType(Pseudostate).kind = PseudostateKind::entryPoint))""" raise NotImplementedError("operation state_is_local(...) not yet implemented") def initial_transition(self, diagnostics=None, context=None): """An initial Transition at the topmost level Region of a StateMachine that has no Trigger. (source.oclIsKindOf(Pseudostate) and container.stateMachine->notEmpty()) implies trigger->isEmpty()""" raise NotImplementedError( "operation initial_transition(...) not yet implemented" ) def fork_segment_guards(self, diagnostics=None, context=None): """A fork segment must not have Guards or Triggers. (source.oclIsKindOf(Pseudostate) and source.oclAsType(Pseudostate).kind = PseudostateKind::fork) implies (guard = null and trigger->isEmpty())""" raise NotImplementedError( "operation fork_segment_guards(...) not yet implemented" ) def containing_state_machine(self): """The query containingStateMachine() returns the StateMachine that contains the Transition either directly or transitively. result = (container.containingStateMachine()) <p>From package UML::StateMachines.</p>""" raise NotImplementedError( "operation containing_state_machine(...) not yet implemented" ) def redefinition_context(self): """The redefinition context of a Transition is the nearest containing StateMachine. result = (let sm : StateMachine = containingStateMachine() in if sm._'context' = null or sm.general->notEmpty() then sm else sm._'context' endif) <p>From package UML::StateMachines.</p>""" raise NotImplementedError( "operation redefinition_context(...) not yet implemented" ) class ConnectorMixin(object): """User defined mixin class for Connector.""" @property def types(self, diagnostics=None, context=None): """The types of the ConnectableElements that the ends of a Connector are attached to must conform to the types of the ends of the Association that types the Connector, if any. type<>null implies let noOfEnds : Integer = end->size() in (type.memberEnd->size() = noOfEnds) and Sequence{1..noOfEnds}->forAll(i | end->at(i).role.type.conformsTo(type.memberEnd->at(i).type))""" raise NotImplementedError("operation types(...) not yet implemented") def roles(self, diagnostics=None, context=None): """The ConnectableElements attached as roles to each ConnectorEnd owned by a Connector must be owned or inherited roles of the Classifier that owned the Connector, or they must be Ports of such roles. structuredClassifier <> null and end->forAll( e | structuredClassifier.allRoles()->includes(e.role) or e.role.oclIsKindOf(Port) and structuredClassifier.allRoles()->includes(e.partWithPort))""" raise NotImplementedError("operation roles(...) not yet implemented") def get_kind(self): """Derivation for Connector::/kind : ConnectorKind result = (if end->exists( role.oclIsKindOf(Port) and partWithPort->isEmpty() and not role.oclAsType(Port).isBehavior) then ConnectorKind::delegation else ConnectorKind::assembly endif) <p>From package UML::StructuredClassifiers.</p>""" raise NotImplementedError("operation get_kind(...) not yet implemented") class GeneralizationSetMixin(object): """User defined mixin class for GeneralizationSet.""" def generalization_same_classifier(self, diagnostics=None, context=None): """Every Generalization associated with a particular GeneralizationSet must have the same general Classifier. generalization->collect(general)->asSet()->size() <= 1""" raise NotImplementedError( "operation generalization_same_classifier(...) not yet implemented" ) def maps_to_generalization_set(self, diagnostics=None, context=None): """The Classifier that maps to a GeneralizationSet may neither be a specific nor a general Classifier in any of the Generalization relationships defined for that GeneralizationSet. In other words, a power type may not be an instance of itself nor may its instances be its subclasses. powertype <> null implies generalization->forAll( gen | not (gen.general = powertype) and not gen.general.allParents()->includes(powertype) and not (gen.specific = powertype) and not powertype.allParents()->includes(gen.specific) )""" raise NotImplementedError( "operation maps_to_generalization_set(...) not yet implemented" ) class RedefinableTemplateSignatureMixin(object): """User defined mixin class for RedefinableTemplateSignature.""" def redefines_parents(self, diagnostics=None, context=None): """If any of the parent Classifiers are a template, then the extendedSignature must include the signature of that Classifier. classifier.allParents()->forAll(c | c.ownedTemplateSignature->notEmpty() implies self->closure(extendedSignature)->includes(c.ownedTemplateSignature))""" raise NotImplementedError( "operation redefines_parents(...) not yet implemented" ) def get_inherited_parameters(self): """Derivation for RedefinableTemplateSignature::/inheritedParameter result = (if extendedSignature->isEmpty() then Set{} else extendedSignature.parameter->asSet() endif) <p>From package UML::Classification.</p>""" raise NotImplementedError( "operation get_inherited_parameters(...) not yet implemented" ) class ExtendMixin(object): """User defined mixin class for Extend.""" def extension_points(self, diagnostics=None, context=None): """The ExtensionPoints referenced by the Extend relationship must belong to the UseCase that is being extended. extensionLocation->forAll (xp | extendedCase.extensionPoint->includes(xp))""" raise NotImplementedError("operation extension_points(...) not yet implemented") class IncludeMixin(object): """User defined mixin class for Include.""" class ActivityPartitionMixin(object): """User defined mixin class for ActivityPartition.""" def represents_classifier(self, diagnostics=None, context=None): """If a non-external ActivityPartition represents a Classifier and has a superPartition, then the superPartition must represent a Classifier, and the Classifier of the subpartition must be nested (nestedClassifier or ownedBehavior) in the Classifier represented by the superPartition, or be at the contained end of a composition Association with the Classifier represented by the superPartition. (not isExternal and represents.oclIsKindOf(Classifier) and superPartition->notEmpty()) implies ( let representedClassifier : Classifier = represents.oclAsType(Classifier) in superPartition.represents.oclIsKindOf(Classifier) and let representedSuperClassifier : Classifier = superPartition.represents.oclAsType(Classifier) in (representedSuperClassifier.oclIsKindOf(BehavioredClassifier) and representedClassifier.oclIsKindOf(Behavior) and representedSuperClassifier.oclAsType(BehavioredClassifier).ownedBehavior->includes(representedClassifier.oclAsType(Behavior))) or (representedSuperClassifier.oclIsKindOf(Class) and representedSuperClassifier.oclAsType(Class).nestedClassifier->includes(representedClassifier)) or (Association.allInstances()->exists(a | a.memberEnd->exists(end1 | end1.isComposite and end1.type = representedClassifier and a.memberEnd->exists(end2 | end1<>end2 and end2.type = representedSuperClassifier)))) )""" raise NotImplementedError( "operation represents_classifier(...) not yet implemented" ) def represents_property_and_is_contained(self, diagnostics=None, context=None): """If an ActivityPartition represents a Property and has a superPartition, then the Property must be of a Classifier represented by the superPartition, or of a Classifier that is the type of a Property represented by the superPartition. (represents.oclIsKindOf(Property) and superPartition->notEmpty()) implies ( (superPartition.represents.oclIsKindOf(Classifier) and represents.owner = superPartition.represents) or (superPartition.represents.oclIsKindOf(Property) and represents.owner = superPartition.represents.oclAsType(Property).type) )""" raise NotImplementedError( "operation represents_property_and_is_contained(...) not yet implemented" ) def represents_property(self, diagnostics=None, context=None): """If an ActivityPartition represents a Property and has a superPartition representing a Classifier, then all the other non-external subpartitions of the superPartition must represent Properties directly owned by the same Classifier. (represents.oclIsKindOf(Property) and superPartition->notEmpty() and superPartition.represents.oclIsKindOf(Classifier)) implies ( let representedClassifier : Classifier = superPartition.represents.oclAsType(Classifier) in superPartition.subpartition->reject(isExternal)->forAll(p | p.represents.oclIsKindOf(Property) and p.owner=representedClassifier) )""" raise NotImplementedError( "operation represents_property(...) not yet implemented" ) def dimension_not_contained(self, diagnostics=None, context=None): """An ActvivityPartition with isDimension = true may not be contained by another ActivityPartition. isDimension implies superPartition->isEmpty()""" raise NotImplementedError( "operation dimension_not_contained(...) not yet implemented" ) class ActivityNodeMixin(object): """User defined mixin class for ActivityNode.""" @property @activity.setter class InterruptibleActivityRegionMixin(object): """User defined mixin class for InterruptibleActivityRegion.""" def interrupting_edges(self, diagnostics=None, context=None): """The interruptingEdges of an InterruptibleActivityRegion must have their source in the region and their target outside the region, but within the same Activity containing the region. interruptingEdge->forAll(edge | node->includes(edge.source) and node->excludes(edge.target) and edge.target.containingActivity() = inActivity)""" raise NotImplementedError( "operation interrupting_edges(...) not yet implemented" ) class ControlFlowMixin(object): """User defined mixin class for ControlFlow.""" def object_nodes(self, diagnostics=None, context=None): """ControlFlows may not have ObjectNodes at either end, except for ObjectNodes with control type. (source.oclIsKindOf(ObjectNode) implies source.oclAsType(ObjectNode).isControlType) and (target.oclIsKindOf(ObjectNode) implies target.oclAsType(ObjectNode).isControlType)""" raise NotImplementedError("operation object_nodes(...) not yet implemented") class ObjectFlowMixin(object): """User defined mixin class for ObjectFlow.""" def input_and_output_parameter(self, diagnostics=None, context=None): """A selection Behavior has one input Parameter and one output Parameter. The input Parameter must have the same as or a supertype of the type of the source ObjectNode, be non-unique and have multiplicity 0..*. The output Parameter must be the same or a subtype of the type of source ObjectNode. The Behavior cannot have side effects. selection<>null implies selection.inputParameters()->size()=1 and selection.inputParameters()->forAll(not isUnique and is(0,*)) and selection.outputParameters()->size()=1""" raise NotImplementedError( "operation input_and_output_parameter(...) not yet implemented" ) def no_executable_nodes(self, diagnostics=None, context=None): """ObjectFlows may not have ExecutableNodes at either end. not (source.oclIsKindOf(ExecutableNode) or target.oclIsKindOf(ExecutableNode))""" raise NotImplementedError( "operation no_executable_nodes(...) not yet implemented" ) def transformation_behavior(self, diagnostics=None, context=None): """A transformation Behavior has one input Parameter and one output Parameter. The input Parameter must be the same as or a supertype of the type of object token coming from the source end. The output Parameter must be the same or a subtype of the type of object token expected downstream. The Behavior cannot have side effects. transformation<>null implies transformation.inputParameters()->size()=1 and transformation.outputParameters()->size()=1""" raise NotImplementedError( "operation transformation_behavior(...) not yet implemented" ) def selection_behavior(self, diagnostics=None, context=None): """An ObjectFlow may have a selection Behavior only if it has an ObjectNode as its source. selection<>null implies source.oclIsKindOf(ObjectNode)""" raise NotImplementedError( "operation selection_behavior(...) not yet implemented" ) def compatible_types(self, diagnostics=None, context=None): """ObjectNodes connected by an ObjectFlow, with optionally intervening ControlNodes, must have compatible types. In particular, the downstream ObjectNode type must be the same or a supertype of the upstream ObjectNode type.""" raise NotImplementedError("operation compatible_types(...) not yet implemented") def same_upper_bounds(self, diagnostics=None, context=None): """ObjectNodes connected by an ObjectFlow, with optionally intervening ControlNodes, must have the same upperBounds.""" raise NotImplementedError( "operation same_upper_bounds(...) not yet implemented" ) def target(self, diagnostics=None, context=None): """An ObjectFlow with a constant weight may not target an ObjectNode, with optionally intervening ControlNodes, that has an upper bound less than the weight.""" raise NotImplementedError("operation target(...) not yet implemented") def is_multicast_or_is_multireceive(self, diagnostics=None, context=None): """isMulticast and isMultireceive cannot both be true. not (isMulticast and isMultireceive)""" raise NotImplementedError( "operation is_multicast_or_is_multireceive(...) not yet implemented" ) class ObservationMixin(object): """User defined mixin class for Observation.""" class PartDecompositionMixin(object): """User defined mixin class for PartDecomposition.""" def commutativity_of_decomposition(self, diagnostics=None, context=None): """Assume that within Interaction X, Lifeline L is of class C and decomposed to D. Assume also that there is within X an InteractionUse (say) U that covers L. According to the constraint above U will have a counterpart CU within D. Within the Interaction referenced by U, L should also be decomposed, and the decomposition should reference CU. (This rule is called commutativity of decomposition.)""" raise NotImplementedError( "operation commutativity_of_decomposition(...) not yet implemented" ) def assume(self, diagnostics=None, context=None): """Assume that within Interaction X, Lifeline L is of class C and decomposed to D. Within X there is a sequence of constructs along L (such constructs are CombinedFragments, InteractionUse and (plain) OccurrenceSpecifications). Then a corresponding sequence of constructs must appear within D, matched one-to-one in the same order. i) CombinedFragment covering L are matched with an extra-global CombinedFragment in D. ii) An InteractionUse covering L is matched with a global (i.e., covering all Lifelines) InteractionUse in D. iii) A plain OccurrenceSpecification on L is considered an actualGate that must be matched by a formalGate of D.""" raise NotImplementedError("operation assume(...) not yet implemented") def parts_of_internal_structures(self, diagnostics=None, context=None): """PartDecompositions apply only to Parts that are Parts of Internal Structures not to Parts of Collaborations.""" raise NotImplementedError( "operation parts_of_internal_structures(...) not yet implemented" ) class InteractionOperandMixin(object): """User defined mixin class for InteractionOperand.""" def guard_contain_references(self, diagnostics=None, context=None): """The guard must contain only references to values local to the Lifeline on which it resides, or values global to the whole Interaction.""" raise NotImplementedError( "operation guard_contain_references(...) not yet implemented" ) def guard_directly_prior(self, diagnostics=None, context=None): """The guard must be placed directly prior to (above) the OccurrenceSpecification that will become the first OccurrenceSpecification within this InteractionOperand.""" raise NotImplementedError( "operation guard_directly_prior(...) not yet implemented" ) class ActionExecutionSpecificationMixin(object): """User defined mixin class for ActionExecutionSpecification.""" def action_referenced(self, diagnostics=None, context=None): """The Action referenced by the ActionExecutionSpecification must be owned by the Interaction owning that ActionExecutionSpecification. (enclosingInteraction->notEmpty() or enclosingOperand.combinedFragment->notEmpty()) and let parentInteraction : Set(Interaction) = enclosingInteraction.oclAsType(Interaction)->asSet()->union( enclosingOperand.combinedFragment->closure(enclosingOperand.combinedFragment)-> collect(enclosingInteraction).oclAsType(Interaction)->asSet()) in (parentInteraction->size() = 1) and self.action.interaction->asSet() = parentInteraction""" raise NotImplementedError( "operation action_referenced(...) not yet implemented" ) class BehaviorExecutionSpecificationMixin(object): """User defined mixin class for BehaviorExecutionSpecification.""" class ConsiderIgnoreFragmentMixin(object): """User defined mixin class for ConsiderIgnoreFragment.""" def consider_or_ignore(self, diagnostics=None, context=None): """The interaction operator of a ConsiderIgnoreFragment must be either 'consider' or 'ignore'. (interactionOperator = InteractionOperatorKind::consider) or (interactionOperator = InteractionOperatorKind::ignore)""" raise NotImplementedError( "operation consider_or_ignore(...) not yet implemented" ) def type(self, diagnostics=None, context=None): """The NamedElements must be of a type of element that can be a signature for a message (i.e.., an Operation, or a Signal). message->forAll(m | m.oclIsKindOf(Operation) or m.oclIsKindOf(Signal))""" raise NotImplementedError("operation type(...) not yet implemented") class ExecutionOccurrenceSpecificationMixin(object): """User defined mixin class for ExecutionOccurrenceSpecification.""" class ValueSpecificationMixin(object): """User defined mixin class for ValueSpecification.""" def boolean_value(self): """The query booleanValue() gives a single Boolean value when one can be computed. result = (null) <p>From package UML::Values.</p>""" raise NotImplementedError("operation boolean_value(...) not yet implemented") def integer_value(self): """The query integerValue() gives a single Integer value when one can be computed. result = (null) <p>From package UML::Values.</p>""" raise NotImplementedError("operation integer_value(...) not yet implemented") def is_computable(self): """The query isComputable() determines whether a value specification can be computed in a model. This operation cannot be fully defined in OCL. A conforming implementation is expected to deliver true for this operation for all ValueSpecifications that it can compute, and to compute all of those for which the operation is true. A conforming implementation is expected to be able to compute at least the value of all LiteralSpecifications. result = (false) <p>From package UML::Values.</p>""" raise NotImplementedError("operation is_computable(...) not yet implemented") def is_null(self): """The query isNull() returns true when it can be computed that the value is null. result = (false) <p>From package UML::Values.</p>""" raise NotImplementedError("operation is_null(...) not yet implemented") def real_value(self): """The query realValue() gives a single Real value when one can be computed. result = (null) <p>From package UML::Values.</p>""" raise NotImplementedError("operation real_value(...) not yet implemented") def string_value(self): """The query stringValue() gives a single String value when one can be computed. result = (null) <p>From package UML::Values.</p>""" raise NotImplementedError("operation string_value(...) not yet implemented") def unlimited_value(self): """The query unlimitedValue() gives a single UnlimitedNatural value when one can be computed. result = (null) <p>From package UML::Values.</p>""" raise NotImplementedError("operation unlimited_value(...) not yet implemented") class BehavioralFeatureMixin(object): """User defined mixin class for BehavioralFeature.""" def abstract_no_method(self, diagnostics=None, context=None): """When isAbstract is true there are no methods. isAbstract implies method->isEmpty()""" raise NotImplementedError( "operation abstract_no_method(...) not yet implemented" ) def create_return_result(self, name=None, type=None): """Creates a return result parameter with the specified name and type.""" raise NotImplementedError( "operation create_return_result(...) not yet implemented" ) def input_parameters(self): """The ownedParameters with direction in and inout. result = (ownedParameter->select(direction=ParameterDirectionKind::_'in' or direction=ParameterDirectionKind::inout)) <p>From package UML::Classification.</p>""" raise NotImplementedError("operation input_parameters(...) not yet implemented") def output_parameters(self): """The ownedParameters with direction out, inout, or return. result = (ownedParameter->select(direction=ParameterDirectionKind::out or direction=ParameterDirectionKind::inout or direction=ParameterDirectionKind::return)) <p>From package UML::Classification.</p>""" raise NotImplementedError( "operation output_parameters(...) not yet implemented" ) class StateMixin(object): """User defined mixin class for State.""" @property @property @property @property def entry_or_exit(self, diagnostics=None, context=None): """Only entry or exit Pseudostates can serve as connection points. connectionPoint->forAll(kind = PseudostateKind::entryPoint or kind = PseudostateKind::exitPoint)""" raise NotImplementedError("operation entry_or_exit(...) not yet implemented") def submachine_states(self, diagnostics=None, context=None): """Only submachine States can have connection point references. isSubmachineState implies connection->notEmpty( )""" raise NotImplementedError( "operation submachine_states(...) not yet implemented" ) def composite_states(self, diagnostics=None, context=None): """Only composite States can have entry or exit Pseudostates defined. connectionPoint->notEmpty() implies isComposite""" raise NotImplementedError("operation composite_states(...) not yet implemented") def destinations_or_sources_of_transitions(self, diagnostics=None, context=None): """The connection point references used as destinations/sources of Transitions associated with a submachine State must be defined as entry/exit points in the submachine StateMachine. self.isSubmachineState implies (self.connection->forAll (cp | cp.entry->forAll (ps | ps.stateMachine = self.submachine) and cp.exit->forAll (ps | ps.stateMachine = self.submachine)))""" raise NotImplementedError( "operation destinations_or_sources_of_transitions(...) not yet implemented" ) def submachine_or_regions(self, diagnostics=None, context=None): """A State is not allowed to have both a submachine and Regions. isComposite implies not isSubmachineState""" raise NotImplementedError( "operation submachine_or_regions(...) not yet implemented" ) def is_composite(self): """A composite State is a State with at least one Region. result = (region->notEmpty()) <p>From package UML::StateMachines.</p>""" raise NotImplementedError("operation is_composite(...) not yet implemented") def is_orthogonal(self): """An orthogonal State is a composite state with at least 2 regions. result = (region->size () > 1) <p>From package UML::StateMachines.</p>""" raise NotImplementedError("operation is_orthogonal(...) not yet implemented") def is_simple(self): """A simple State is a State without any regions. result = ((region->isEmpty()) and not isSubmachineState()) <p>From package UML::StateMachines.</p>""" raise NotImplementedError("operation is_simple(...) not yet implemented") def is_submachine_state(self): """Only submachine State references another StateMachine. result = (submachine <> null) <p>From package UML::StateMachines.</p>""" raise NotImplementedError( "operation is_submachine_state(...) not yet implemented" ) def redefinition_context(self): """The redefinition context of a State is the nearest containing StateMachine. result = (let sm : StateMachine = containingStateMachine() in if sm._'context' = null or sm.general->notEmpty() then sm else sm._'context' endif) <p>From package UML::StateMachines.</p>""" raise NotImplementedError( "operation redefinition_context(...) not yet implemented" ) class ExecutableNodeMixin(object): """User defined mixin class for ExecutableNode.""" class ControlNodeMixin(object): """User defined mixin class for ControlNode.""" class MessageEventMixin(object): """User defined mixin class for MessageEvent.""" class ChangeEventMixin(object): """User defined mixin class for ChangeEvent.""" class TimeEventMixin(object): """User defined mixin class for TimeEvent.""" def when_non_negative(self, diagnostics=None, context=None): """The ValueSpecification when must return a non-negative Integer. when.integerValue() >= 0""" raise NotImplementedError( "operation when_non_negative(...) not yet implemented" ) class InteractionConstraintMixin(object): """User defined mixin class for InteractionConstraint.""" def minint_maxint(self, diagnostics=None, context=None): """Minint/maxint can only be present if the InteractionConstraint is associated with the operand of a loop CombinedFragment. maxint->notEmpty() or minint->notEmpty() implies interactionOperand.combinedFragment.interactionOperator = InteractionOperatorKind::loop""" raise NotImplementedError("operation minint_maxint(...) not yet implemented") def minint_non_negative(self, diagnostics=None, context=None): """If minint is specified, then the expression must evaluate to a non-negative integer. minint->notEmpty() implies minint->asSequence()->first().integerValue() >= 0""" raise NotImplementedError( "operation minint_non_negative(...) not yet implemented" ) def maxint_positive(self, diagnostics=None, context=None): """If maxint is specified, then the expression must evaluate to a positive integer. maxint->notEmpty() implies maxint->asSequence()->first().integerValue() > 0""" raise NotImplementedError("operation maxint_positive(...) not yet implemented") def dynamic_variables(self, diagnostics=None, context=None): """The dynamic variables that take part in the constraint must be owned by the ConnectableElement corresponding to the covered Lifeline.""" raise NotImplementedError( "operation dynamic_variables(...) not yet implemented" ) def global_data(self, diagnostics=None, context=None): """The constraint may contain references to global data or write-once data.""" raise NotImplementedError("operation global_data(...) not yet implemented") def maxint_greater_equal_minint(self, diagnostics=None, context=None): """If maxint is specified, then minint must be specified and the evaluation of maxint must be >= the evaluation of minint. maxint->notEmpty() implies (minint->notEmpty() and maxint->asSequence()->first().integerValue() >= minint->asSequence()->first().integerValue() )""" raise NotImplementedError( "operation maxint_greater_equal_minint(...) not yet implemented" ) class MessageOccurrenceSpecificationMixin(object): """User defined mixin class for MessageOccurrenceSpecification.""" class ProtocolTransitionMixin(object): """User defined mixin class for ProtocolTransition.""" def refers_to_operation(self, diagnostics=None, context=None): """If a ProtocolTransition refers to an Operation (i.e., has a CallEvent trigger corresponding to an Operation), then that Operation should apply to the context Classifier of the StateMachine of the ProtocolTransition. if (referred()->notEmpty() and containingStateMachine()._'context'->notEmpty()) then containingStateMachine()._'context'.oclAsType(BehavioredClassifier).allFeatures()->includesAll(referred()) else true endif""" raise NotImplementedError( "operation refers_to_operation(...) not yet implemented" ) def associated_actions(self, diagnostics=None, context=None): """A ProtocolTransition never has associated Behaviors. effect = null""" raise NotImplementedError( "operation associated_actions(...) not yet implemented" ) def belongs_to_psm(self, diagnostics=None, context=None): """A ProtocolTransition always belongs to a ProtocolStateMachine. container.belongsToPSM()""" raise NotImplementedError("operation belongs_to_psm(...) not yet implemented") def get_referreds(self): """Derivation for ProtocolTransition::/referred result = (trigger->collect(event)->select(oclIsKindOf(CallEvent))->collect(oclAsType(CallEvent).operation)->asSet()) <p>From package UML::StateMachines.</p>""" raise NotImplementedError("operation get_referreds(...) not yet implemented") class IntervalConstraintMixin(object): """User defined mixin class for IntervalConstraint.""" class DurationObservationMixin(object): """User defined mixin class for DurationObservation.""" def first_event_multiplicity(self, diagnostics=None, context=None): """The multiplicity of firstEvent must be 2 if the multiplicity of event is 2. Otherwise the multiplicity of firstEvent is 0. if (event->size() = 2) then (firstEvent->size() = 2) else (firstEvent->size() = 0) endif""" raise NotImplementedError( "operation first_event_multiplicity(...) not yet implemented" ) class TimeObservationMixin(object): """User defined mixin class for TimeObservation.""" class PackageMixin(object): """User defined mixin class for Package.""" @property @nestingPackage.setter def elements_public_or_private(self, diagnostics=None, context=None): """If an element that is owned by a package has visibility, it is public or private. packagedElement->forAll(e | e.visibility<> null implies e.visibility = VisibilityKind::public or e.visibility = VisibilityKind::private)""" raise NotImplementedError( "operation elements_public_or_private(...) not yet implemented" ) def apply_profile(self, profile=None): """Applies the current definition of the specified profile to this package and automatically applies required stereotypes in the profile to elements within this package's namespace hieararchy. If a different definition is already applied, automatically migrates any associated stereotype values on a "best effort" basis (matching classifiers and structural features by name).""" raise NotImplementedError("operation apply_profile(...) not yet implemented") def create_owned_class(self, name=None, isAbstract=None): """Creates a(n) (abstract) class with the specified name as an owned type of this package.""" raise NotImplementedError( "operation create_owned_class(...) not yet implemented" ) def create_owned_enumeration(self, name=None): """Creates a enumeration with the specified name as an owned type of this package.""" raise NotImplementedError( "operation create_owned_enumeration(...) not yet implemented" ) def create_owned_interface(self, name=None): """Creates an interface with the specified name as an owned type of this package.""" raise NotImplementedError( "operation create_owned_interface(...) not yet implemented" ) def create_owned_primitive_type(self, name=None): """Creates a primitive type with the specified name as an owned type of this package.""" raise NotImplementedError( "operation create_owned_primitive_type(...) not yet implemented" ) def create_owned_stereotype(self, name=None, isAbstract=None): """Creates a(n) (abstract) stereotype with the specified name as an owned stereotype of this profile.""" raise NotImplementedError( "operation create_owned_stereotype(...) not yet implemented" ) def get_all_applied_profiles(self): """Retrieves all the profiles that are applied to this package, including profiles applied to its nesting package(s).""" raise NotImplementedError( "operation get_all_applied_profiles(...) not yet implemented" ) def get_all_profile_applications(self): """Retrieves all the profile applications for this package, including profile applications for its nesting package(s).""" raise NotImplementedError( "operation get_all_profile_applications(...) not yet implemented" ) def get_applied_profile(self, qualifiedName=None): """Retrieves the profile with the specified qualified name that is applied to this package, or null if no such profile is applied.""" raise NotImplementedError( "operation get_applied_profile(...) not yet implemented" ) def get_applied_profile(self, qualifiedName=None, recurse=None): """Retrieves the profile with the specified qualified name that is applied to this package or any of its nesting packages (if indicated), or null if no such profile is applied.""" raise NotImplementedError( "operation get_applied_profile(...) not yet implemented" ) def get_applied_profiles(self): """Retrieves the profiles that are applied to this package.""" raise NotImplementedError( "operation get_applied_profiles(...) not yet implemented" ) def get_profile_application(self, profile=None): """Retrieves the application of the specified profile to this package, or null if no such profile is applied.""" raise NotImplementedError( "operation get_profile_application(...) not yet implemented" ) def get_profile_application(self, profile=None, recurse=None): """Retrieves the application of the specified profile to this package or any of its nesting packages (if indicated), or null if no such profile is applied.""" raise NotImplementedError( "operation get_profile_application(...) not yet implemented" ) def is_model_library(self): """Determines whether this package is a model library.""" raise NotImplementedError("operation is_model_library(...) not yet implemented") def is_profile_applied(self, profile=None): """Determines whether the specified profile is applied to this package.""" raise NotImplementedError( "operation is_profile_applied(...) not yet implemented" ) def unapply_profile(self, profile=None): """Unapplies the specified profile from this package and automatically unapplies stereotypes in the profile from elements within this package's namespace hieararchy.""" raise NotImplementedError("operation unapply_profile(...) not yet implemented") def apply_profiles(self, profiles=None): """Applies the current definitions of the specified profiles to this package and automatically applies required stereotypes in the profiles to elements within this package's namespace hieararchy. If different definitions are already applied, automatically migrates any associated stereotype values on a "best effort" basis (matching classifiers and structural features by name).""" raise NotImplementedError("operation apply_profiles(...) not yet implemented") def all_applicable_stereotypes(self): """The query allApplicableStereotypes() returns all the directly or indirectly owned stereotypes, including stereotypes contained in sub-profiles. result = (let ownedPackages : Bag(Package) = ownedMember->select(oclIsKindOf(Package))->collect(oclAsType(Package)) in ownedStereotype->union(ownedPackages.allApplicableStereotypes())->flatten()->asSet() ) <p>From package UML::Packages.</p>""" raise NotImplementedError( "operation all_applicable_stereotypes(...) not yet implemented" ) def containing_profile(self): """The query containingProfile() returns the closest profile directly or indirectly containing this package (or this package itself, if it is a profile). result = (if self.oclIsKindOf(Profile) then self.oclAsType(Profile) else self.namespace.oclAsType(Package).containingProfile() endif) <p>From package UML::Packages.</p>""" raise NotImplementedError( "operation containing_profile(...) not yet implemented" ) def makes_visible(self, el=None): """The query makesVisible() defines whether a Package makes an element visible outside itself. Elements with no visibility and elements with public visibility are made visible. member->includes(el) result = (ownedMember->includes(el) or (elementImport->select(ei|ei.importedElement = VisibilityKind::public)->collect(importedElement.oclAsType(NamedElement))->includes(el)) or (packageImport->select(visibility = VisibilityKind::public)->collect(importedPackage.member->includes(el))->notEmpty())) <p>From package UML::Packages.</p>""" raise NotImplementedError("operation makes_visible(...) not yet implemented") def get_nested_packages(self): """Derivation for Package::/nestedPackage result = (packagedElement->select(oclIsKindOf(Package))->collect(oclAsType(Package))->asSet()) <p>From package UML::Packages.</p>""" return self.nestedPackage def get_owned_stereotypes(self): """Derivation for Package::/ownedStereotype result = (packagedElement->select(oclIsKindOf(Stereotype))->collect(oclAsType(Stereotype))->asSet()) <p>From package UML::Packages.</p>""" return self.ownedStereotype def get_owned_types(self): """Derivation for Package::/ownedType result = (packagedElement->select(oclIsKindOf(Type))->collect(oclAsType(Type))->asSet()) <p>From package UML::Packages.</p>""" raise NotImplementedError("operation get_owned_types(...) not yet implemented") def visible_members(self): """The query visibleMembers() defines which members of a Package can be accessed outside it. result = (member->select( m | m.oclIsKindOf(PackageableElement) and self.makesVisible(m))->collect(oclAsType(PackageableElement))->asSet()) <p>From package UML::Packages.</p>""" raise NotImplementedError("operation visible_members(...) not yet implemented") class DependencyMixin(object): """User defined mixin class for Dependency.""" class OpaqueExpressionMixin(object): """User defined mixin class for OpaqueExpression.""" @property def language_body_size(self, diagnostics=None, context=None): """If the language attribute is not empty, then the size of the body and language arrays must be the same. language->notEmpty() implies (_'body'->size() = language->size())""" raise NotImplementedError( "operation language_body_size(...) not yet implemented" ) def one_return_result_parameter(self, diagnostics=None, context=None): """The behavior must have exactly one return result parameter. behavior <> null implies behavior.ownedParameter->select(direction=ParameterDirectionKind::return)->size() = 1""" raise NotImplementedError( "operation one_return_result_parameter(...) not yet implemented" ) def only_return_result_parameters(self, diagnostics=None, context=None): """The behavior may only have return result parameters. behavior <> null implies behavior.ownedParameter->select(direction<>ParameterDirectionKind::return)->isEmpty()""" raise NotImplementedError( "operation only_return_result_parameters(...) not yet implemented" ) def is_integral(self): """The query isIntegral() tells whether an expression is intended to produce an Integer. result = (false) <p>From package UML::Values.</p>""" raise NotImplementedError("operation is_integral(...) not yet implemented") def is_non_negative(self): """The query isNonNegative() tells whether an integer expression has a non-negative value. self.isIntegral() result = (false) <p>From package UML::Values.</p>""" raise NotImplementedError("operation is_non_negative(...) not yet implemented") def is_positive(self): """The query isPositive() tells whether an integer expression has a positive value. self.isIntegral() result = (false) <p>From package UML::Values.</p>""" raise NotImplementedError("operation is_positive(...) not yet implemented") def get_result(self): """Derivation for OpaqueExpression::/result result = (if behavior = null then null else behavior.ownedParameter->first() endif) <p>From package UML::Values.</p>""" raise NotImplementedError("operation get_result(...) not yet implemented") def value(self): """The query value() gives an integer value for an expression intended to produce one. self.isIntegral() result = (0) <p>From package UML::Values.</p>""" raise NotImplementedError("operation value(...) not yet implemented") class ParameterMixin(object): """User defined mixin class for Parameter.""" @property @default.setter def in_and_out(self, diagnostics=None, context=None): """Only in and inout Parameters may have a delete effect. Only out, inout, and return Parameters may have a create effect. (effect = ParameterEffectKind::delete implies (direction = ParameterDirectionKind::_'in' or direction = ParameterDirectionKind::inout)) and (effect = ParameterEffectKind::create implies (direction = ParameterDirectionKind::out or direction = ParameterDirectionKind::inout or direction = ParameterDirectionKind::return))""" raise NotImplementedError("operation in_and_out(...) not yet implemented") def not_exception(self, diagnostics=None, context=None): """An input Parameter cannot be an exception. isException implies (direction <> ParameterDirectionKind::_'in' and direction <> ParameterDirectionKind::inout)""" raise NotImplementedError("operation not_exception(...) not yet implemented") def connector_end(self, diagnostics=None, context=None): """A Parameter may only be associated with a Connector end within the context of a Collaboration. end->notEmpty() implies collaboration->notEmpty()""" raise NotImplementedError("operation connector_end(...) not yet implemented") def reentrant_behaviors(self, diagnostics=None, context=None): """Reentrant behaviors cannot have stream Parameters. (isStream and behavior <> null) implies not behavior.isReentrant""" raise NotImplementedError( "operation reentrant_behaviors(...) not yet implemented" ) def stream_and_exception(self, diagnostics=None, context=None): """A Parameter cannot be a stream and exception at the same time. not (isException and isStream)""" raise NotImplementedError( "operation stream_and_exception(...) not yet implemented" ) def object_effect(self, diagnostics=None, context=None): """Parameters typed by DataTypes cannot have an effect. (type.oclIsKindOf(DataType)) implies (effect = null)""" raise NotImplementedError("operation object_effect(...) not yet implemented") def set_boolean_default_value(self, value=None): """Sets the default value for this parameter to the specified Boolean value.""" raise NotImplementedError( "operation set_boolean_default_value(...) not yet implemented" ) def set_integer_default_value(self, value=None): """Sets the default value for this parameter to the specified integer value.""" raise NotImplementedError( "operation set_integer_default_value(...) not yet implemented" ) def set_null_default_value(self): """Sets the default value for this parameter to the null value.""" raise NotImplementedError( "operation set_null_default_value(...) not yet implemented" ) def set_real_default_value(self, value=None): """Sets the default value for this parameter to the specified real value.""" raise NotImplementedError( "operation set_real_default_value(...) not yet implemented" ) def set_string_default_value(self, value=None): """Sets the default value for this parameter to the specified string value.""" raise NotImplementedError( "operation set_string_default_value(...) not yet implemented" ) def set_unlimited_natural_default_value(self, value=None): """Sets the default value for this parameter to the specified unlimited natural value.""" raise NotImplementedError( "operation set_unlimited_natural_default_value(...) not yet implemented" ) def get_default(self): """Derivation for Parameter::/default result = (if self.type = String then defaultValue.stringValue() else null endif) <p>From package UML::Classification.</p>""" raise NotImplementedError("operation get_default(...) not yet implemented") class ReceptionMixin(object): """User defined mixin class for Reception.""" def same_name_as_signal(self, diagnostics=None, context=None): """A Reception has the same name as its signal name = signal.name""" raise NotImplementedError( "operation same_name_as_signal(...) not yet implemented" ) def same_structure_as_signal(self, diagnostics=None, context=None): """A Reception's parameters match the ownedAttributes of its signal by name, type, and multiplicity signal.ownedAttribute->size() = ownedParameter->size() and Sequence{1..signal.ownedAttribute->size()}->forAll( i | ownedParameter->at(i).direction = ParameterDirectionKind::_'in' and ownedParameter->at(i).name = signal.ownedAttribute->at(i).name and ownedParameter->at(i).type = signal.ownedAttribute->at(i).type and ownedParameter->at(i).lowerBound() = signal.ownedAttribute->at(i).lowerBound() and ownedParameter->at(i).upperBound() = signal.ownedAttribute->at(i).upperBound() )""" raise NotImplementedError( "operation same_structure_as_signal(...) not yet implemented" ) class StructuralFeatureMixin(object): """User defined mixin class for StructuralFeature.""" class InstanceSpecificationMixin(object): """User defined mixin class for InstanceSpecification.""" def deployment_artifact(self, diagnostics=None, context=None): """An InstanceSpecification can act as a DeployedArtifact if it represents an instance of an Artifact. deploymentForArtifact->notEmpty() implies classifier->exists(oclIsKindOf(Artifact))""" raise NotImplementedError( "operation deployment_artifact(...) not yet implemented" ) def structural_feature(self, diagnostics=None, context=None): """No more than one slot in an InstanceSpecification may have the same definingFeature. classifier->forAll(c | (c.allSlottableFeatures()->forAll(f | slot->select(s | s.definingFeature = f)->size() <= 1)))""" raise NotImplementedError( "operation structural_feature(...) not yet implemented" ) def defining_feature(self, diagnostics=None, context=None): """The definingFeature of each slot is a StructuralFeature related to a classifier of the InstanceSpecification, including direct attributes, inherited attributes, private attributes in generalizations, and memberEnds of Associations, but excluding redefined StructuralFeatures. slot->forAll(s | classifier->exists (c | c.allSlottableFeatures()->includes (s.definingFeature)))""" raise NotImplementedError("operation defining_feature(...) not yet implemented") def deployment_target(self, diagnostics=None, context=None): """An InstanceSpecification can act as a DeploymentTarget if it represents an instance of a Node and functions as a part in the internal structure of an encompassing Node. deployment->notEmpty() implies classifier->exists(node | node.oclIsKindOf(Node) and Node.allInstances()->exists(n | n.part->exists(p | p.type = node)))""" raise NotImplementedError( "operation deployment_target(...) not yet implemented" ) class ExpressionMixin(object): """User defined mixin class for Expression.""" class ActionMixin(object): """User defined mixin class for Action.""" @property def get_context(self): """The derivation for the context property. result = (let behavior: Behavior = self.containingBehavior() in if behavior=null then null else if behavior._'context' = null then behavior else behavior._'context' endif endif) <p>From package UML::Actions.</p>""" raise NotImplementedError("operation get_context(...) not yet implemented") def all_actions(self): """Return this Action and all Actions contained directly or indirectly in it. By default only the Action itself is returned, but the operation is overridden for StructuredActivityNodes. result = (self->asSet()) <p>From package UML::Actions.</p>""" raise NotImplementedError("operation all_actions(...) not yet implemented") def all_owned_nodes(self): """Returns all the ActivityNodes directly or indirectly owned by this Action. This includes at least all the Pins of the Action. result = (input.oclAsType(Pin)->asSet()->union(output->asSet())) <p>From package UML::Actions.</p>""" raise NotImplementedError("operation all_owned_nodes(...) not yet implemented") def containing_behavior(self): """result = (if inStructuredNode<>null then inStructuredNode.containingBehavior() else if activity<>null then activity else interaction endif endif ) <p>From package UML::Actions.</p>""" raise NotImplementedError( "operation containing_behavior(...) not yet implemented" ) class ObjectNodeMixin(object): """User defined mixin class for ObjectNode.""" def input_output_parameter(self, diagnostics=None, context=None): """A selection Behavior has one input Parameter and one output Parameter. The input Parameter must have the same type as or a supertype of the type of ObjectNode, be non-unique, and have multiplicity 0..*. The output Parameter must be the same or a subtype of the type of ObjectNode. The Behavior cannot have side effects. selection<>null implies selection.inputParameters()->size()=1 and selection.inputParameters()->forAll(p | not p.isUnique and p.is(0,*) and self.type.conformsTo(p.type)) and selection.outputParameters()->size()=1 and selection.inputParameters()->forAll(p | self.type.conformsTo(p.type))""" raise NotImplementedError( "operation input_output_parameter(...) not yet implemented" ) def selection_behavior(self, diagnostics=None, context=None): """If an ObjectNode has a selection Behavior, then the ordering of the object node is ordered, and vice versa. (selection<>null) = (ordering=ObjectNodeOrderingKind::ordered)""" raise NotImplementedError( "operation selection_behavior(...) not yet implemented" ) def object_flow_edges(self, diagnostics=None, context=None): """If isControlType=false, the ActivityEdges incoming to or outgoing from an ObjectNode must all be ObjectFlows. (not isControlType) implies incoming->union(outgoing)->forAll(oclIsKindOf(ObjectFlow))""" raise NotImplementedError( "operation object_flow_edges(...) not yet implemented" ) class VariableMixin(object): """User defined mixin class for Variable.""" def is_accessible_by(self, a=None): """A Variable is accessible by Actions within its scope (the Activity or StructuredActivityNode that owns it). result = (if scope<>null then scope.allOwnedNodes()->includes(a) else a.containingActivity()=activityScope endif) <p>From package UML::Activities.</p>""" raise NotImplementedError("operation is_accessible_by(...) not yet implemented") class FinalNodeMixin(object): """User defined mixin class for FinalNode.""" def no_outgoing_edges(self, diagnostics=None, context=None): """A FinalNode has no outgoing ActivityEdges. outgoing->isEmpty()""" raise NotImplementedError( "operation no_outgoing_edges(...) not yet implemented" ) class DecisionNodeMixin(object): """User defined mixin class for DecisionNode.""" def zero_input_parameters(self, diagnostics=None, context=None): """If the DecisionNode has no decisionInputFlow and an incoming ControlFlow, then any decisionInput Behavior has no in parameters. (decisionInput<>null and decisionInputFlow=null and incoming->exists(oclIsKindOf(ControlFlow))) implies decisionInput.inputParameters()->isEmpty()""" raise NotImplementedError( "operation zero_input_parameters(...) not yet implemented" ) def edges(self, diagnostics=None, context=None): """The ActivityEdges incoming to and outgoing from a DecisionNode, other than the decisionInputFlow (if any), must be either all ObjectFlows or all ControlFlows. let allEdges: Set(ActivityEdge) = incoming->union(outgoing) in let allRelevantEdges: Set(ActivityEdge) = if decisionInputFlow->notEmpty() then allEdges->excluding(decisionInputFlow) else allEdges endif in allRelevantEdges->forAll(oclIsKindOf(ControlFlow)) or allRelevantEdges->forAll(oclIsKindOf(ObjectFlow)) """ raise NotImplementedError("operation edges(...) not yet implemented") def decision_input_flow_incoming(self, diagnostics=None, context=None): """The decisionInputFlow of a DecisionNode must be an incoming ActivityEdge of the DecisionNode. incoming->includes(decisionInputFlow)""" raise NotImplementedError( "operation decision_input_flow_incoming(...) not yet implemented" ) def two_input_parameters(self, diagnostics=None, context=None): """If the DecisionNode has a decisionInputFlow and an second incoming ObjectFlow, then any decisionInput has two in Parameters, the first of which has a type that is the same as or a supertype of the type of object tokens offered on the non-decisionInputFlow and the second of which has a type that is the same as or a supertype of the type of object tokens offered on the decisionInputFlow. (decisionInput<>null and decisionInputFlow<>null and incoming->forAll(oclIsKindOf(ObjectFlow))) implies decisionInput.inputParameters()->size()=2""" raise NotImplementedError( "operation two_input_parameters(...) not yet implemented" ) def incoming_outgoing_edges(self, diagnostics=None, context=None): """A DecisionNode has one or two incoming ActivityEdges and at least one outgoing ActivityEdge. (incoming->size() = 1 or incoming->size() = 2) and outgoing->size() > 0""" raise NotImplementedError( "operation incoming_outgoing_edges(...) not yet implemented" ) def incoming_control_one_input_parameter(self, diagnostics=None, context=None): """If the DecisionNode has a decisionInputFlow and an incoming ControlFlow, then any decisionInput Behavior has one in Parameter whose type is the same as or a supertype of the type of object tokens offered on the decisionInputFlow. (decisionInput<>null and decisionInputFlow<>null and incoming->exists(oclIsKindOf(ControlFlow))) implies decisionInput.inputParameters()->size()=1""" raise NotImplementedError( "operation incoming_control_one_input_parameter(...) not yet implemented" ) def parameters(self, diagnostics=None, context=None): """A decisionInput Behavior has no out parameters, no inout parameters, and one return parameter. decisionInput<>null implies (decisionInput.ownedParameter->forAll(par | par.direction <> ParameterDirectionKind::out and par.direction <> ParameterDirectionKind::inout ) and decisionInput.ownedParameter->one(par | par.direction <> ParameterDirectionKind::return))""" raise NotImplementedError("operation parameters(...) not yet implemented") def incoming_object_one_input_parameter(self, diagnostics=None, context=None): """If the DecisionNode has no decisionInputFlow and an incoming ObjectFlow, then any decisionInput Behavior has one in Parameter whose type is the same as or a supertype of the type of object tokens offered on the incoming ObjectFlow. (decisionInput<>null and decisionInputFlow=null and incoming->forAll(oclIsKindOf(ObjectFlow))) implies decisionInput.inputParameters()->size()=1""" raise NotImplementedError( "operation incoming_object_one_input_parameter(...) not yet implemented" ) class ForkNodeMixin(object): """User defined mixin class for ForkNode.""" def edges(self, diagnostics=None, context=None): """The ActivityEdges incoming to and outgoing from a ForkNode must be either all ObjectFlows or all ControlFlows. let allEdges : Set(ActivityEdge) = incoming->union(outgoing) in allEdges->forAll(oclIsKindOf(ControlFlow)) or allEdges->forAll(oclIsKindOf(ObjectFlow))""" raise NotImplementedError("operation edges(...) not yet implemented") def one_incoming_edge(self, diagnostics=None, context=None): """A ForkNode has one incoming ActivityEdge. incoming->size()=1""" raise NotImplementedError( "operation one_incoming_edge(...) not yet implemented" ) class InitialNodeMixin(object): """User defined mixin class for InitialNode.""" def no_incoming_edges(self, diagnostics=None, context=None): """An InitialNode has no incoming ActivityEdges. incoming->isEmpty()""" raise NotImplementedError( "operation no_incoming_edges(...) not yet implemented" ) def control_edges(self, diagnostics=None, context=None): """All the outgoing ActivityEdges from an InitialNode must be ControlFlows. outgoing->forAll(oclIsKindOf(ControlFlow))""" raise NotImplementedError("operation control_edges(...) not yet implemented") class JoinNodeMixin(object): """User defined mixin class for JoinNode.""" def one_outgoing_edge(self, diagnostics=None, context=None): """A JoinNode has one outgoing ActivityEdge. outgoing->size() = 1""" raise NotImplementedError( "operation one_outgoing_edge(...) not yet implemented" ) def incoming_object_flow(self, diagnostics=None, context=None): """If one of the incoming ActivityEdges of a JoinNode is an ObjectFlow, then its outgoing ActivityEdge must be an ObjectFlow. Otherwise its outgoing ActivityEdge must be a ControlFlow. if incoming->exists(oclIsKindOf(ObjectFlow)) then outgoing->forAll(oclIsKindOf(ObjectFlow)) else outgoing->forAll(oclIsKindOf(ControlFlow)) endif""" raise NotImplementedError( "operation incoming_object_flow(...) not yet implemented" ) class MergeNodeMixin(object): """User defined mixin class for MergeNode.""" def one_outgoing_edge(self, diagnostics=None, context=None): """A MergeNode has one outgoing ActivityEdge. outgoing->size()=1""" raise NotImplementedError( "operation one_outgoing_edge(...) not yet implemented" ) def edges(self, diagnostics=None, context=None): """The ActivityEdges incoming to and outgoing from a MergeNode must be either all ObjectFlows or all ControlFlows. let allEdges : Set(ActivityEdge) = incoming->union(outgoing) in allEdges->forAll(oclIsKindOf(ControlFlow)) or allEdges->forAll(oclIsKindOf(ObjectFlow))""" raise NotImplementedError("operation edges(...) not yet implemented") class InstanceValueMixin(object): """User defined mixin class for InstanceValue.""" class AnyReceiveEventMixin(object): """User defined mixin class for AnyReceiveEvent.""" class CallEventMixin(object): """User defined mixin class for CallEvent.""" class SignalEventMixin(object): """User defined mixin class for SignalEvent.""" class TimeExpressionMixin(object): """User defined mixin class for TimeExpression.""" def no_expr_requires_observation(self, diagnostics=None, context=None): """If a TimeExpression has no expr, then it must have a single observation that is a TimeObservation. expr = null implies (observation->size() = 1 and observation->forAll(oclIsKindOf(TimeObservation)))""" raise NotImplementedError( "operation no_expr_requires_observation(...) not yet implemented" ) class InformationFlowMixin(object): """User defined mixin class for InformationFlow.""" def must_conform(self, diagnostics=None, context=None): """The sources and targets of the information flow must conform to the sources and targets or conversely the targets and sources of the realization relationships.""" raise NotImplementedError("operation must_conform(...) not yet implemented") def sources_and_targets_kind(self, diagnostics=None, context=None): """The sources and targets of the information flow can only be one of the following kind: Actor, Node, UseCase, Artifact, Class, Component, Port, Property, Interface, Package, ActivityNode, ActivityPartition, Behavior and InstanceSpecification except when its classifier is a relationship (i.e. it represents a link). (self.informationSource->forAll( sis | oclIsKindOf(Actor) or oclIsKindOf(Node) or oclIsKindOf(UseCase) or oclIsKindOf(Artifact) or oclIsKindOf(Class) or oclIsKindOf(Component) or oclIsKindOf(Port) or oclIsKindOf(Property) or oclIsKindOf(Interface) or oclIsKindOf(Package) or oclIsKindOf(ActivityNode) or oclIsKindOf(ActivityPartition) or (oclIsKindOf(InstanceSpecification) and not sis.oclAsType(InstanceSpecification).classifier->exists(oclIsKindOf(Relationship))))) and (self.informationTarget->forAll( sit | oclIsKindOf(Actor) or oclIsKindOf(Node) or oclIsKindOf(UseCase) or oclIsKindOf(Artifact) or oclIsKindOf(Class) or oclIsKindOf(Component) or oclIsKindOf(Port) or oclIsKindOf(Property) or oclIsKindOf(Interface) or oclIsKindOf(Package) or oclIsKindOf(ActivityNode) or oclIsKindOf(ActivityPartition) or (oclIsKindOf(InstanceSpecification) and not sit.oclAsType(InstanceSpecification).classifier->exists(oclIsKindOf(Relationship)))))""" raise NotImplementedError( "operation sources_and_targets_kind(...) not yet implemented" ) def convey_classifiers(self, diagnostics=None, context=None): """An information flow can only convey classifiers that are allowed to represent an information item. self.conveyed->forAll(oclIsKindOf(Class) or oclIsKindOf(Interface) or oclIsKindOf(InformationItem) or oclIsKindOf(Signal) or oclIsKindOf(Component))""" raise NotImplementedError( "operation convey_classifiers(...) not yet implemented" ) class DestructionOccurrenceSpecificationMixin(object): """User defined mixin class for DestructionOccurrenceSpecification.""" def no_occurrence_specifications_below(self, diagnostics=None, context=None): """No other OccurrenceSpecifications on a given Lifeline in an InteractionOperand may appear below a DestructionOccurrenceSpecification. let o : InteractionOperand = enclosingOperand in o->notEmpty() and let peerEvents : OrderedSet(OccurrenceSpecification) = covered.events->select(enclosingOperand = o) in peerEvents->last() = self""" raise NotImplementedError( "operation no_occurrence_specifications_below(...) not yet implemented" ) class FinalStateMixin(object): """User defined mixin class for FinalState.""" def no_exit_behavior(self, diagnostics=None, context=None): """A FinalState has no exit Behavior. exit->isEmpty()""" raise NotImplementedError("operation no_exit_behavior(...) not yet implemented") def no_outgoing_transitions(self, diagnostics=None, context=None): """A FinalState cannot have any outgoing Transitions. outgoing->size() = 0""" raise NotImplementedError( "operation no_outgoing_transitions(...) not yet implemented" ) def no_regions(self, diagnostics=None, context=None): """A FinalState cannot have Regions. region->size() = 0""" raise NotImplementedError("operation no_regions(...) not yet implemented") def cannot_reference_submachine(self, diagnostics=None, context=None): """A FinalState cannot reference a submachine. submachine->isEmpty()""" raise NotImplementedError( "operation cannot_reference_submachine(...) not yet implemented" ) def no_entry_behavior(self, diagnostics=None, context=None): """A FinalState has no entry Behavior. entry->isEmpty()""" raise NotImplementedError( "operation no_entry_behavior(...) not yet implemented" ) def no_state_behavior(self, diagnostics=None, context=None): """A FinalState has no state (doActivity) Behavior. doActivity->isEmpty()""" raise NotImplementedError( "operation no_state_behavior(...) not yet implemented" ) class DurationMixin(object): """User defined mixin class for Duration.""" def no_expr_requires_observation(self, diagnostics=None, context=None): """If a Duration has no expr, then it must have a single observation that is a DurationObservation. expr = null implies (observation->size() = 1 and observation->forAll(oclIsKindOf(DurationObservation)))""" raise NotImplementedError( "operation no_expr_requires_observation(...) not yet implemented" ) class DurationConstraintMixin(object): """User defined mixin class for DurationConstraint.""" def first_event_multiplicity(self, diagnostics=None, context=None): """The multiplicity of firstEvent must be 2 if the multiplicity of constrainedElement is 2. Otherwise the multiplicity of firstEvent is 0. if (constrainedElement->size() = 2) then (firstEvent->size() = 2) else (firstEvent->size() = 0) endif""" raise NotImplementedError( "operation first_event_multiplicity(...) not yet implemented" ) def has_one_or_two_constrained_elements(self, diagnostics=None, context=None): """A DurationConstraint has either one or two constrainedElements. constrainedElement->size() = 1 or constrainedElement->size()=2""" raise NotImplementedError( "operation has_one_or_two_constrained_elements(...) not yet implemented" ) class IntervalMixin(object): """User defined mixin class for Interval.""" class LiteralSpecificationMixin(object): """User defined mixin class for LiteralSpecification.""" class TimeConstraintMixin(object): """User defined mixin class for TimeConstraint.""" def has_one_constrained_element(self, diagnostics=None, context=None): """A TimeConstraint has one constrainedElement. constrainedElement->size() = 1""" raise NotImplementedError( "operation has_one_constrained_element(...) not yet implemented" ) class ProfileMixin(object): """User defined mixin class for Profile.""" def metaclass_reference_not_specialized(self, diagnostics=None, context=None): """An element imported as a metaclassReference is not specialized or generalized in a Profile. metaclassReference.importedElement-> select(c | c.oclIsKindOf(Classifier) and (c.oclAsType(Classifier).allParents()->collect(namespace)->includes(self)))->isEmpty() and packagedElement-> select(oclIsKindOf(Classifier))->collect(oclAsType(Classifier).allParents())-> intersection(metaclassReference.importedElement->select(oclIsKindOf(Classifier))->collect(oclAsType(Classifier)))->isEmpty()""" raise NotImplementedError( "operation metaclass_reference_not_specialized(...) not yet implemented" ) def references_same_metamodel(self, diagnostics=None, context=None): """All elements imported either as metaclassReferences or through metamodelReferences are members of the same base reference metamodel. metamodelReference.importedPackage.elementImport.importedElement.allOwningPackages()-> union(metaclassReference.importedElement.allOwningPackages() )->notEmpty()""" raise NotImplementedError( "operation references_same_metamodel(...) not yet implemented" ) def create(self, classifier=None): """Creates and returns an instance of (the Ecore representation of) the specified classifier defined in this profile.""" raise NotImplementedError("operation create(...) not yet implemented") def define(self, options=None, diagnostics=None, context=None): """Defines this profile by (re)creating Ecore representations of its current contents, using the specified options, diagnostics, and context.""" from .profile_utils import UML_20_URI, define_profile eannotation = self.getEAnnotation(UML_20_URI) if not eannotation: eannotation = ecore.EAnnotation(source=UML_20_URI) eannotation.contents.append(define_profile(self)) self.eAnnotations.append(eannotation) def get_definition(self): """Retrieves the current definition (Ecore representation) of this profile.""" raise NotImplementedError("operation get_definition(...) not yet implemented") def get_definition(self, namedElement=None): """Retrieves the current definition (Ecore representation) of the specified named element in this profile.""" raise NotImplementedError("operation get_definition(...) not yet implemented") def get_owned_extensions(self, requiredOnly=None): """Retrieves the extensions owned by this profile, excluding non-required extensions if indicated.""" raise NotImplementedError( "operation get_owned_extensions(...) not yet implemented" ) def get_referenced_metaclasses(self): """Retrieves the metaclasses referenced by this profile.""" raise NotImplementedError( "operation get_referenced_metaclasses(...) not yet implemented" ) def get_referenced_metamodels(self): """Retrieves the metamodels referenced by this profile.""" raise NotImplementedError( "operation get_referenced_metamodels(...) not yet implemented" ) def is_defined(self): """Determines whether this profile is defined.""" raise NotImplementedError("operation is_defined(...) not yet implemented") class DeploymentMixin(object): """User defined mixin class for Deployment.""" class AbstractionMixin(object): """User defined mixin class for Abstraction.""" class EnumerationLiteralMixin(object): """User defined mixin class for EnumerationLiteral.""" def get_classifier(self): """Derivation of Enumeration::/classifier result = (enumeration) <p>From package UML::SimpleClassifiers.</p>""" raise NotImplementedError("operation get_classifier(...) not yet implemented") class ModelMixin(object): """User defined mixin class for Model.""" def is_metamodel(self): """Determines whether this model is a metamodel.""" raise NotImplementedError("operation is_metamodel(...) not yet implemented") class UsageMixin(object): """User defined mixin class for Usage.""" class ValueSpecificationActionMixin(object): """User defined mixin class for ValueSpecificationAction.""" def multiplicity(self, diagnostics=None, context=None): """The multiplicity of the result OutputPin is 1..1 result.is(1,1)""" raise NotImplementedError("operation multiplicity(...) not yet implemented") def compatible_type(self, diagnostics=None, context=None): """The type of the value ValueSpecification must conform to the type of the result OutputPin. value.type.conformsTo(result.type)""" raise NotImplementedError("operation compatible_type(...) not yet implemented") class VariableActionMixin(object): """User defined mixin class for VariableAction.""" def scope_of_variable(self, diagnostics=None, context=None): """The VariableAction must be in the scope of the variable. variable.isAccessibleBy(self)""" raise NotImplementedError( "operation scope_of_variable(...) not yet implemented" ) class LinkActionMixin(object): """User defined mixin class for LinkAction.""" def same_pins(self, diagnostics=None, context=None): """The inputValue InputPins is the same as the union of all the InputPins referenced by the endData. inputValue->asBag()=endData.allPins()""" raise NotImplementedError("operation same_pins(...) not yet implemented") def same_association(self, diagnostics=None, context=None): """The ends of the endData must all be from the same Association and include all and only the memberEnds of that association. endData.end = self.association().memberEnd->asBag()""" raise NotImplementedError("operation same_association(...) not yet implemented") def not_static(self, diagnostics=None, context=None): """The ends of the endData must not be static. endData->forAll(not end.isStatic)""" raise NotImplementedError("operation not_static(...) not yet implemented") def association(self): """Returns the Association acted on by this LinkAction. result = (endData->asSequence()->first().end.association) <p>From package UML::Actions.</p>""" raise NotImplementedError("operation association(...) not yet implemented") class StructuralFeatureActionMixin(object): """User defined mixin class for StructuralFeatureAction.""" def multiplicity(self, diagnostics=None, context=None): """The multiplicity of the object InputPin must be 1..1. object.is(1,1)""" raise NotImplementedError("operation multiplicity(...) not yet implemented") def object_type(self, diagnostics=None, context=None): """The structuralFeature must either be an owned or inherited feature of the type of the object InputPin, or it must be an owned end of a binary Association whose opposite end had as a type to which the type of the object InputPin conforms. object.type.oclAsType(Classifier).allFeatures()->includes(structuralFeature) or object.type.conformsTo(structuralFeature.oclAsType(Property).opposite.type)""" raise NotImplementedError("operation object_type(...) not yet implemented") def visibility(self, diagnostics=None, context=None): """The visibility of the structuralFeature must allow access from the object performing the ReadStructuralFeatureAction. structuralFeature.visibility = VisibilityKind::public or _'context'.allFeatures()->includes(structuralFeature) or structuralFeature.visibility=VisibilityKind::protected and _'context'.conformsTo(structuralFeature.oclAsType(Property).opposite.type.oclAsType(Classifier))""" raise NotImplementedError("operation visibility(...) not yet implemented") def not_static(self, diagnostics=None, context=None): """The structuralFeature must not be static. not structuralFeature.isStatic""" raise NotImplementedError("operation not_static(...) not yet implemented") def one_featuring_classifier(self, diagnostics=None, context=None): """The structuralFeature must have exactly one featuringClassifier. structuralFeature.featuringClassifier->size() = 1""" raise NotImplementedError( "operation one_featuring_classifier(...) not yet implemented" ) class AcceptEventActionMixin(object): """User defined mixin class for AcceptEventAction.""" def one_output_pin(self, diagnostics=None, context=None): """If isUnmarshall=false and any of the triggers are for SignalEvents or TimeEvents, there must be exactly one result OutputPin with multiplicity 1..1. not isUnmarshall and trigger->exists(event.oclIsKindOf(SignalEvent) or event.oclIsKindOf(TimeEvent)) implies output->size() = 1 and output->first().is(1,1)""" raise NotImplementedError("operation one_output_pin(...) not yet implemented") def no_input_pins(self, diagnostics=None, context=None): """AcceptEventActions may have no input pins. input->size() = 0""" raise NotImplementedError("operation no_input_pins(...) not yet implemented") def no_output_pins(self, diagnostics=None, context=None): """There are no OutputPins if the trigger events are only ChangeEvents and/or CallEvents when this action is an instance of AcceptEventAction and not an instance of a descendant of AcceptEventAction (such as AcceptCallAction). (self.oclIsTypeOf(AcceptEventAction) and (trigger->forAll(event.oclIsKindOf(ChangeEvent) or event.oclIsKindOf(CallEvent)))) implies output->size() = 0""" raise NotImplementedError("operation no_output_pins(...) not yet implemented") def unmarshall_signal_events(self, diagnostics=None, context=None): """If isUnmarshall is true (and this is not an AcceptCallAction), there must be exactly one trigger, which is for a SignalEvent. The number of result output pins must be the same as the number of attributes of the signal. The type and ordering of each result output pin must be the same as the corresponding attribute of the signal. The multiplicity of each result output pin must be compatible with the multiplicity of the corresponding attribute. isUnmarshall and self.oclIsTypeOf(AcceptEventAction) implies trigger->size()=1 and trigger->asSequence()->first().event.oclIsKindOf(SignalEvent) and let attribute: OrderedSet(Property) = trigger->asSequence()->first().event.oclAsType(SignalEvent).signal.allAttributes() in attribute->size()>0 and result->size() = attribute->size() and Sequence{1..result->size()}->forAll(i | result->at(i).type = attribute->at(i).type and result->at(i).isOrdered = attribute->at(i).isOrdered and result->at(i).includesMultiplicity(attribute->at(i)))""" raise NotImplementedError( "operation unmarshall_signal_events(...) not yet implemented" ) def conforming_type(self, diagnostics=None, context=None): """If isUnmarshall=false and all the triggers are for SignalEvents, then the type of the single result OutputPin must either be null or all the signals must conform to it. not isUnmarshall implies result->isEmpty() or let type: Type = result->first().type in type=null or (trigger->forAll(event.oclIsKindOf(SignalEvent)) and trigger.event.oclAsType(SignalEvent).signal->forAll(s | s.conformsTo(type)))""" raise NotImplementedError("operation conforming_type(...) not yet implemented") class InvocationActionMixin(object): """User defined mixin class for InvocationAction.""" class ClearAssociationActionMixin(object): """User defined mixin class for ClearAssociationAction.""" def multiplicity(self, diagnostics=None, context=None): """The multiplicity of the object InputPin is 1..1. object.is(1,1)""" raise NotImplementedError("operation multiplicity(...) not yet implemented") def same_type(self, diagnostics=None, context=None): """The type of the InputPin must conform to the type of at least one of the memberEnds of the association. association.memberEnd->exists(self.object.type.conformsTo(type))""" raise NotImplementedError("operation same_type(...) not yet implemented") class CreateObjectActionMixin(object): """User defined mixin class for CreateObjectAction.""" def classifier_not_abstract(self, diagnostics=None, context=None): """The classifier cannot be abstract. not classifier.isAbstract""" raise NotImplementedError( "operation classifier_not_abstract(...) not yet implemented" ) def multiplicity(self, diagnostics=None, context=None): """The multiplicity of the result OutputPin is 1..1. result.is(1,1)""" raise NotImplementedError("operation multiplicity(...) not yet implemented") def classifier_not_association_class(self, diagnostics=None, context=None): """The classifier cannot be an AssociationClass. not classifier.oclIsKindOf(AssociationClass)""" raise NotImplementedError( "operation classifier_not_association_class(...) not yet implemented" ) def same_type(self, diagnostics=None, context=None): """The type of the result OutputPin must be the same as the classifier of the CreateObjectAction. result.type = classifier""" raise NotImplementedError("operation same_type(...) not yet implemented") class DestroyObjectActionMixin(object): """User defined mixin class for DestroyObjectAction.""" def multiplicity(self, diagnostics=None, context=None): """The multiplicity of the targe IinputPin is 1..1. target.is(1,1)""" raise NotImplementedError("operation multiplicity(...) not yet implemented") def no_type(self, diagnostics=None, context=None): """The target InputPin has no type. target.type= null""" raise NotImplementedError("operation no_type(...) not yet implemented") class ExpansionNodeMixin(object): """User defined mixin class for ExpansionNode.""" def region_as_input_or_output(self, diagnostics=None, context=None): """One of regionAsInput or regionAsOutput must be non-empty, but not both. regionAsInput->notEmpty() xor regionAsOutput->notEmpty()""" raise NotImplementedError( "operation region_as_input_or_output(...) not yet implemented" ) class OpaqueActionMixin(object): """User defined mixin class for OpaqueAction.""" def language_body_size(self, diagnostics=None, context=None): """If the language attribute is not empty, then the size of the body and language lists must be the same. language->notEmpty() implies (_'body'->size() = language->size())""" raise NotImplementedError( "operation language_body_size(...) not yet implemented" ) class RaiseExceptionActionMixin(object): """User defined mixin class for RaiseExceptionAction.""" class ReadExtentActionMixin(object): """User defined mixin class for ReadExtentAction.""" def type_is_classifier(self, diagnostics=None, context=None): """The type of the result OutputPin is the classifier. result.type = classifier""" raise NotImplementedError( "operation type_is_classifier(...) not yet implemented" ) def multiplicity_of_result(self, diagnostics=None, context=None): """The multiplicity of the result OutputPin is 0..*. result.is(0,*)""" raise NotImplementedError( "operation multiplicity_of_result(...) not yet implemented" ) class ReadIsClassifiedObjectActionMixin(object): """User defined mixin class for ReadIsClassifiedObjectAction.""" def no_type(self, diagnostics=None, context=None): """The object InputPin has no type. object.type = null""" raise NotImplementedError("operation no_type(...) not yet implemented") def multiplicity_of_output(self, diagnostics=None, context=None): """The multiplicity of the result OutputPin is 1..1. result.is(1,1)""" raise NotImplementedError( "operation multiplicity_of_output(...) not yet implemented" ) def boolean_result(self, diagnostics=None, context=None): """The type of the result OutputPin is Boolean. result.type = Boolean""" raise NotImplementedError("operation boolean_result(...) not yet implemented") def multiplicity_of_input(self, diagnostics=None, context=None): """The multiplicity of the object InputPin is 1..1. object.is(1,1)""" raise NotImplementedError( "operation multiplicity_of_input(...) not yet implemented" ) class ReadLinkObjectEndActionMixin(object): """User defined mixin class for ReadLinkObjectEndAction.""" def property(self, diagnostics=None, context=None): """The end Property must be an Association memberEnd. end.association <> null""" raise NotImplementedError("operation property(...) not yet implemented") def multiplicity_of_object(self, diagnostics=None, context=None): """The multiplicity of the object InputPin is 1..1. object.is(1,1)""" raise NotImplementedError( "operation multiplicity_of_object(...) not yet implemented" ) def ends_of_association(self, diagnostics=None, context=None): """The ends of the association must not be static. end.association.memberEnd->forAll(e | not e.isStatic)""" raise NotImplementedError( "operation ends_of_association(...) not yet implemented" ) def type_of_result(self, diagnostics=None, context=None): """The type of the result OutputPin is the same as the type of the end Property. result.type = end.type""" raise NotImplementedError("operation type_of_result(...) not yet implemented") def multiplicity_of_result(self, diagnostics=None, context=None): """The multiplicity of the result OutputPin is 1..1. result.is(1,1)""" raise NotImplementedError( "operation multiplicity_of_result(...) not yet implemented" ) def type_of_object(self, diagnostics=None, context=None): """The type of the object InputPin is the AssociationClass that owns the end Property. object.type = end.association""" raise NotImplementedError("operation type_of_object(...) not yet implemented") def association_of_association(self, diagnostics=None, context=None): """The association of the end must be an AssociationClass. end.association.oclIsKindOf(AssociationClass)""" raise NotImplementedError( "operation association_of_association(...) not yet implemented" ) class ReadLinkObjectEndQualifierActionMixin(object): """User defined mixin class for ReadLinkObjectEndQualifierAction.""" def multiplicity_of_object(self, diagnostics=None, context=None): """The multiplicity of the object InputPin is 1..1. object.is(1,1)""" raise NotImplementedError( "operation multiplicity_of_object(...) not yet implemented" ) def type_of_object(self, diagnostics=None, context=None): """The type of the object InputPin is the AssociationClass that owns the Association end that has the given qualifier Property. object.type = qualifier.associationEnd.association""" raise NotImplementedError("operation type_of_object(...) not yet implemented") def multiplicity_of_qualifier(self, diagnostics=None, context=None): """The multiplicity of the qualifier Property is 1..1. qualifier.is(1,1)""" raise NotImplementedError( "operation multiplicity_of_qualifier(...) not yet implemented" ) def ends_of_association(self, diagnostics=None, context=None): """The ends of the Association must not be static. qualifier.associationEnd.association.memberEnd->forAll(e | not e.isStatic)""" raise NotImplementedError( "operation ends_of_association(...) not yet implemented" ) def multiplicity_of_result(self, diagnostics=None, context=None): """The multiplicity of the result OutputPin is 1..1. result.is(1,1)""" raise NotImplementedError( "operation multiplicity_of_result(...) not yet implemented" ) def same_type(self, diagnostics=None, context=None): """The type of the result OutputPin is the same as the type of the qualifier Property. result.type = qualifier.type""" raise NotImplementedError("operation same_type(...) not yet implemented") def association_of_association(self, diagnostics=None, context=None): """The association of the Association end of the qualifier Property must be an AssociationClass. qualifier.associationEnd.association.oclIsKindOf(AssociationClass)""" raise NotImplementedError( "operation association_of_association(...) not yet implemented" ) def qualifier_attribute(self, diagnostics=None, context=None): """The qualifier Property must be a qualifier of an Association end. qualifier.associationEnd <> null""" raise NotImplementedError( "operation qualifier_attribute(...) not yet implemented" ) class ReadSelfActionMixin(object): """User defined mixin class for ReadSelfAction.""" def contained(self, diagnostics=None, context=None): """A ReadSelfAction must have a context Classifier. _'context' <> null""" raise NotImplementedError("operation contained(...) not yet implemented") def multiplicity(self, diagnostics=None, context=None): """The multiplicity of the result OutputPin is 1..1. result.is(1,1)""" raise NotImplementedError("operation multiplicity(...) not yet implemented") def not_static(self, diagnostics=None, context=None): """If the ReadSelfAction is contained in an Behavior that is acting as a method, then the Operation of the method must not be static. let behavior: Behavior = self.containingBehavior() in behavior.specification<>null implies not behavior.specification.isStatic""" raise NotImplementedError("operation not_static(...) not yet implemented") def type(self, diagnostics=None, context=None): """The type of the result OutputPin is the context Classifier. result.type = _'context'""" raise NotImplementedError("operation type(...) not yet implemented") class ReclassifyObjectActionMixin(object): """User defined mixin class for ReclassifyObjectAction.""" def input_pin(self, diagnostics=None, context=None): """The object InputPin has no type. object.type = null""" raise NotImplementedError("operation input_pin(...) not yet implemented") def classifier_not_abstract(self, diagnostics=None, context=None): """None of the newClassifiers may be abstract. not newClassifier->exists(isAbstract)""" raise NotImplementedError( "operation classifier_not_abstract(...) not yet implemented" ) def multiplicity(self, diagnostics=None, context=None): """The multiplicity of the object InputPin is 1..1. object.is(1,1)""" raise NotImplementedError("operation multiplicity(...) not yet implemented") class ReduceActionMixin(object): """User defined mixin class for ReduceAction.""" def reducer_inputs_output(self, diagnostics=None, context=None): """The reducer Behavior must have two input ownedParameters and one output ownedParameter, where the type of the output Parameter and the type of elements of the input collection conform to the types of the input Parameters. let inputs: OrderedSet(Parameter) = reducer.inputParameters() in let outputs: OrderedSet(Parameter) = reducer.outputParameters() in inputs->size()=2 and outputs->size()=1 and inputs.type->forAll(t | outputs.type->forAll(conformsTo(t)) and -- Note that the following only checks the case when the collection is via multiple tokens. collection.upperBound()>1 implies collection.type.conformsTo(t))""" raise NotImplementedError( "operation reducer_inputs_output(...) not yet implemented" ) def input_type_is_collection(self, diagnostics=None, context=None): """The type of the collection InputPin must be a collection.""" raise NotImplementedError( "operation input_type_is_collection(...) not yet implemented" ) def output_types_are_compatible(self, diagnostics=None, context=None): """The type of the output of the reducer Behavior must conform to the type of the result OutputPin. reducer.outputParameters().type->forAll(conformsTo(result.type))""" raise NotImplementedError( "operation output_types_are_compatible(...) not yet implemented" ) class ReplyActionMixin(object): """User defined mixin class for ReplyAction.""" def pins_match_parameter(self, diagnostics=None, context=None): """The replyValue InputPins must match the output (return, out, and inout) parameters of the operation of the event of the replyToCall Trigger in number, type, ordering, and multiplicity. let parameter:OrderedSet(Parameter) = replyToCall.event.oclAsType(CallEvent).operation.outputParameters() in replyValue->size()=parameter->size() and Sequence{1..replyValue->size()}->forAll(i | replyValue->at(i).type.conformsTo(parameter->at(i).type) and replyValue->at(i).isOrdered=parameter->at(i).isOrdered and replyValue->at(i).compatibleWith(parameter->at(i)))""" raise NotImplementedError( "operation pins_match_parameter(...) not yet implemented" ) def event_on_reply_to_call_trigger(self, diagnostics=None, context=None): """The event of the replyToCall Trigger must be a CallEvent. replyToCall.event.oclIsKindOf(CallEvent)""" raise NotImplementedError( "operation event_on_reply_to_call_trigger(...) not yet implemented" ) class StartClassifierBehaviorActionMixin(object): """User defined mixin class for StartClassifierBehaviorAction.""" def multiplicity(self, diagnostics=None, context=None): """The multiplicity of the object InputPin is 1..1 object.is(1,1)""" raise NotImplementedError("operation multiplicity(...) not yet implemented") def type_has_classifier(self, diagnostics=None, context=None): """If the InputPin has a type, then the type or one of its ancestors must have a classifierBehavior. object.type->notEmpty() implies (object.type.oclIsKindOf(BehavioredClassifier) and object.type.oclAsType(BehavioredClassifier).classifierBehavior<>null)""" raise NotImplementedError( "operation type_has_classifier(...) not yet implemented" ) class TestIdentityActionMixin(object): """User defined mixin class for TestIdentityAction.""" def multiplicity(self, diagnostics=None, context=None): """The multiplicity of the InputPins is 1..1. first.is(1,1) and second.is(1,1)""" raise NotImplementedError("operation multiplicity(...) not yet implemented") def no_type(self, diagnostics=None, context=None): """The InputPins have no type. first.type= null and second.type = null""" raise NotImplementedError("operation no_type(...) not yet implemented") def result_is_boolean(self, diagnostics=None, context=None): """The type of the result OutputPin is Boolean. result.type=Boolean""" raise NotImplementedError( "operation result_is_boolean(...) not yet implemented" ) class UnmarshallActionMixin(object): """User defined mixin class for UnmarshallAction.""" def structural_feature(self, diagnostics=None, context=None): """The unmarshallType must have at least one StructuralFeature. unmarshallType.allAttributes()->size() >= 1""" raise NotImplementedError( "operation structural_feature(...) not yet implemented" ) def number_of_result(self, diagnostics=None, context=None): """The number of result outputPins must be the same as the number of attributes of the unmarshallType. unmarshallType.allAttributes()->size() = result->size()""" raise NotImplementedError("operation number_of_result(...) not yet implemented") def type_ordering_and_multiplicity(self, diagnostics=None, context=None): """The type, ordering and multiplicity of each attribute of the unmarshallType must be compatible with the type, ordering and multiplicity of the corresponding result OutputPin. let attribute:OrderedSet(Property) = unmarshallType.allAttributes() in Sequence{1..result->size()}->forAll(i | attribute->at(i).type.conformsTo(result->at(i).type) and attribute->at(i).isOrdered=result->at(i).isOrdered and attribute->at(i).compatibleWith(result->at(i)))""" raise NotImplementedError( "operation type_ordering_and_multiplicity(...) not yet implemented" ) def multiplicity_of_object(self, diagnostics=None, context=None): """The multiplicity of the object InputPin is 1..1 object.is(1,1)""" raise NotImplementedError( "operation multiplicity_of_object(...) not yet implemented" ) def object_type(self, diagnostics=None, context=None): """The type of the object InputPin conform to the unmarshallType. object.type.conformsTo(unmarshallType)""" raise NotImplementedError("operation object_type(...) not yet implemented") class ActivityFinalNodeMixin(object): """User defined mixin class for ActivityFinalNode.""" class ActivityParameterNodeMixin(object): """User defined mixin class for ActivityParameterNode.""" def no_outgoing_edges(self, diagnostics=None, context=None): """An ActivityParameterNode with no outgoing ActivityEdges and one or more incoming ActivityEdges must have a parameter with direction out, inout, or return. (incoming->notEmpty() and outgoing->isEmpty()) implies (parameter.direction = ParameterDirectionKind::out or parameter.direction = ParameterDirectionKind::inout or parameter.direction = ParameterDirectionKind::return)""" raise NotImplementedError( "operation no_outgoing_edges(...) not yet implemented" ) def has_parameters(self, diagnostics=None, context=None): """The parameter of an ActivityParameterNode must be from the containing Activity. activity.ownedParameter->includes(parameter)""" raise NotImplementedError("operation has_parameters(...) not yet implemented") def same_type(self, diagnostics=None, context=None): """The type of an ActivityParameterNode is the same as the type of its parameter. type = parameter.type""" raise NotImplementedError("operation same_type(...) not yet implemented") def no_incoming_edges(self, diagnostics=None, context=None): """An ActivityParameterNode with no incoming ActivityEdges and one or more outgoing ActivityEdges must have a parameter with direction in or inout. (outgoing->notEmpty() and incoming->isEmpty()) implies (parameter.direction = ParameterDirectionKind::_'in' or parameter.direction = ParameterDirectionKind::inout)""" raise NotImplementedError( "operation no_incoming_edges(...) not yet implemented" ) def no_edges(self, diagnostics=None, context=None): """An ActivityParameterNode may have all incoming ActivityEdges or all outgoing ActivityEdges, but it must not have both incoming and outgoing ActivityEdges. incoming->isEmpty() or outgoing->isEmpty()""" raise NotImplementedError("operation no_edges(...) not yet implemented") class CentralBufferNodeMixin(object): """User defined mixin class for CentralBufferNode.""" class FlowFinalNodeMixin(object): """User defined mixin class for FlowFinalNode.""" class DurationIntervalMixin(object): """User defined mixin class for DurationInterval.""" class LiteralBooleanMixin(object): """User defined mixin class for LiteralBoolean.""" class LiteralIntegerMixin(object): """User defined mixin class for LiteralInteger.""" class LiteralNullMixin(object): """User defined mixin class for LiteralNull.""" class LiteralRealMixin(object): """User defined mixin class for LiteralReal.""" class LiteralStringMixin(object): """User defined mixin class for LiteralString.""" class LiteralUnlimitedNaturalMixin(object): """User defined mixin class for LiteralUnlimitedNatural.""" class TimeIntervalMixin(object): """User defined mixin class for TimeInterval.""" class ClassifierMixin(object): """User defined mixin class for Classifier.""" def specialize_type(self, diagnostics=None, context=None): """A Classifier may only specialize Classifiers of a valid type. parents()->forAll(c | self.maySpecializeType(c))""" raise NotImplementedError("operation specialize_type(...) not yet implemented") def maps_to_generalization_set(self, diagnostics=None, context=None): """The Classifier that maps to a GeneralizationSet may neither be a specific nor a general Classifier in any of the Generalization relationships defined for that GeneralizationSet. In other words, a power type may not be an instance of itself nor may its instances also be its subclasses. powertypeExtent->forAll( gs | gs.generalization->forAll( gen | not (gen.general = self) and not gen.general.allParents()->includes(self) and not (gen.specific = self) and not self.allParents()->includes(gen.specific) ))""" raise NotImplementedError( "operation maps_to_generalization_set(...) not yet implemented" ) def non_final_parents(self, diagnostics=None, context=None): """The parents of a Classifier must be non-final. parents()->forAll(not isFinalSpecialization)""" raise NotImplementedError( "operation non_final_parents(...) not yet implemented" ) def no_cycles_in_generalization(self, diagnostics=None, context=None): """Generalization hierarchies must be directed and acyclical. A Classifier can not be both a transitively general and transitively specific Classifier of the same Classifier. not allParents()->includes(self)""" raise NotImplementedError( "operation no_cycles_in_generalization(...) not yet implemented" ) def get_all_attributes(self): """Retrieves all the attributes of this classifier, including those inherited from its parents.""" raise NotImplementedError( "operation get_all_attributes(...) not yet implemented" ) def get_all_operations(self): """Retrieves all the operations of this classifier, including those inherited from its parents.""" raise NotImplementedError( "operation get_all_operations(...) not yet implemented" ) def get_all_used_interfaces(self): """Retrieves all the interfaces on which this classifier or any of its parents has a usage dependency.""" raise NotImplementedError( "operation get_all_used_interfaces(...) not yet implemented" ) def get_operation(self, name=None, parameterNames=None, parameterTypes=None): """Retrieves the first operation with the specified name, parameter names, and parameter types from this classifier.""" raise NotImplementedError("operation get_operation(...) not yet implemented") def get_operation( self, name=None, parameterNames=None, parameterTypes=None, ignoreCase=None ): """Retrieves the first operation with the specified name, parameter names, and parameter types from this classifier, ignoring case if indicated.""" raise NotImplementedError("operation get_operation(...) not yet implemented") def get_operations(self): """Retrieves the operations of this classifier.""" raise NotImplementedError("operation get_operations(...) not yet implemented") def get_used_interfaces(self): """Retrieves the interfaces on which this classifier has a usage dependency.""" raise NotImplementedError( "operation get_used_interfaces(...) not yet implemented" ) def all_features(self): """The query allFeatures() gives all of the Features in the namespace of the Classifier. In general, through mechanisms such as inheritance, this will be a larger set than feature. result = (member->select(oclIsKindOf(Feature))->collect(oclAsType(Feature))->asSet()) <p>From package UML::Classification.</p>""" raise NotImplementedError("operation all_features(...) not yet implemented") def all_parents(self): """The query allParents() gives all of the direct and indirect ancestors of a generalized Classifier. result = (parents()->union(parents()->collect(allParents())->asSet())) <p>From package UML::Classification.</p>""" raise NotImplementedError("operation all_parents(...) not yet implemented") def get_generals(self): """The general Classifiers are the ones referenced by the Generalization relationships. result = (parents()) <p>From package UML::Classification.</p>""" raise NotImplementedError("operation get_generals(...) not yet implemented") def has_visibility_of(self, n=None): """The query hasVisibilityOf() determines whether a NamedElement is visible in the classifier. Non-private members are visible. It is only called when the argument is something owned by a parent. allParents()->including(self)->collect(member)->includes(n) result = (n.visibility <> VisibilityKind::private) <p>From package UML::Classification.</p>""" raise NotImplementedError( "operation has_visibility_of(...) not yet implemented" ) def inherit(self, inhs=None): """The query inherit() defines how to inherit a set of elements passed as its argument. It excludes redefined elements from the result. result = (inhs->reject(inh | inh.oclIsKindOf(RedefinableElement) and ownedMember->select(oclIsKindOf(RedefinableElement))-> select(redefinedElement->includes(inh.oclAsType(RedefinableElement))) ->notEmpty())) <p>From package UML::Classification.</p>""" raise NotImplementedError("operation inherit(...) not yet implemented") def inheritable_members(self, c=None): """The query inheritableMembers() gives all of the members of a Classifier that may be inherited in one of its descendants, subject to whatever visibility restrictions apply. c.allParents()->includes(self) result = (member->select(m | c.hasVisibilityOf(m))) <p>From package UML::Classification.</p>""" raise NotImplementedError( "operation inheritable_members(...) not yet implemented" ) def get_inherited_members(self): """The inheritedMember association is derived by inheriting the inheritable members of the parents. result = (inherit(parents()->collect(inheritableMembers(self))->asSet())) <p>From package UML::Classification.</p>""" raise NotImplementedError( "operation get_inherited_members(...) not yet implemented" ) def may_specialize_type(self, c=None): """The query maySpecializeType() determines whether this classifier may have a generalization relationship to classifiers of the specified type. By default a classifier may specialize classifiers of the same or a more general type. It is intended to be redefined by classifiers that have different specialization constraints. result = (self.oclIsKindOf(c.oclType())) <p>From package UML::Classification.</p>""" raise NotImplementedError( "operation may_specialize_type(...) not yet implemented" ) def parents(self): """The query parents() gives all of the immediate ancestors of a generalized Classifier. result = (generalization.general->asSet()) <p>From package UML::Classification.</p>""" raise NotImplementedError("operation parents(...) not yet implemented") def directly_realized_interfaces(self): """The Interfaces directly realized by this Classifier result = ((clientDependency-> select(oclIsKindOf(Realization) and supplier->forAll(oclIsKindOf(Interface))))-> collect(supplier.oclAsType(Interface))->asSet()) <p>From package UML::Classification.</p>""" raise NotImplementedError( "operation directly_realized_interfaces(...) not yet implemented" ) def directly_used_interfaces(self): """The Interfaces directly used by this Classifier result = ((supplierDependency-> select(oclIsKindOf(Usage) and client->forAll(oclIsKindOf(Interface))))-> collect(client.oclAsType(Interface))->asSet()) <p>From package UML::Classification.</p>""" raise NotImplementedError( "operation directly_used_interfaces(...) not yet implemented" ) def all_realized_interfaces(self): """The Interfaces realized by this Classifier and all of its generalizations result = (directlyRealizedInterfaces()->union(self.allParents()->collect(directlyRealizedInterfaces()))->asSet()) <p>From package UML::Classification.</p>""" raise NotImplementedError( "operation all_realized_interfaces(...) not yet implemented" ) def all_used_interfaces(self): """The Interfaces used by this Classifier and all of its generalizations result = (directlyUsedInterfaces()->union(self.allParents()->collect(directlyUsedInterfaces()))->asSet()) <p>From package UML::Classification.</p>""" raise NotImplementedError( "operation all_used_interfaces(...) not yet implemented" ) def is_substitutable_for(self, contract=None): """result = (substitution.contract->includes(contract)) <p>From package UML::Classification.</p>""" raise NotImplementedError( "operation is_substitutable_for(...) not yet implemented" ) def all_attributes(self): """The query allAttributes gives an ordered set of all owned and inherited attributes of the Classifier. All owned attributes appear before any inherited attributes, and the attributes inherited from any more specific parent Classifier appear before those of any more general parent Classifier. However, if the Classifier has multiple immediate parents, then the relative ordering of the sets of attributes from those parents is not defined. result = (attribute->asSequence()->union(parents()->asSequence().allAttributes())->select(p | member->includes(p))->asOrderedSet()) <p>From package UML::Classification.</p>""" raise NotImplementedError("operation all_attributes(...) not yet implemented") def all_slottable_features(self): """All StructuralFeatures related to the Classifier that may have Slots, including direct attributes, inherited attributes, private attributes in generalizations, and memberEnds of Associations, but excluding redefined StructuralFeatures. result = (member->select(oclIsKindOf(StructuralFeature))-> collect(oclAsType(StructuralFeature))-> union(self.inherit(self.allParents()->collect(p | p.attribute)->asSet())-> collect(oclAsType(StructuralFeature)))->asSet()) <p>From package UML::Classification.</p>""" raise NotImplementedError( "operation all_slottable_features(...) not yet implemented" ) class ManifestationMixin(object): """User defined mixin class for Manifestation.""" class OperationMixin(object): """User defined mixin class for Operation.""" @property @property @property @property @property def at_most_one_return(self, diagnostics=None, context=None): """An Operation can have at most one return parameter; i.e., an owned parameter with the direction set to 'return.' self.ownedParameter->select(direction = ParameterDirectionKind::return)->size() <= 1""" raise NotImplementedError( "operation at_most_one_return(...) not yet implemented" ) def only_body_for_query(self, diagnostics=None, context=None): """A bodyCondition can only be specified for a query Operation. bodyCondition <> null implies isQuery""" raise NotImplementedError( "operation only_body_for_query(...) not yet implemented" ) def get_return_result(self): """Retrieves the (only) return result parameter for this operation.""" raise NotImplementedError( "operation get_return_result(...) not yet implemented" ) def is_ordered(self): """If this operation has a return parameter, isOrdered equals the value of isOrdered for that parameter. Otherwise isOrdered is false. result = (if returnResult()->notEmpty() then returnResult()-> exists(isOrdered) else false endif) <p>From package UML::Classification.</p>""" raise NotImplementedError("operation is_ordered(...) not yet implemented") def is_unique(self): """If this operation has a return parameter, isUnique equals the value of isUnique for that parameter. Otherwise isUnique is true. result = (if returnResult()->notEmpty() then returnResult()->exists(isUnique) else true endif) <p>From package UML::Classification.</p>""" raise NotImplementedError("operation is_unique(...) not yet implemented") def get_lower(self): """If this operation has a return parameter, lower equals the value of lower for that parameter. Otherwise lower has no value. result = (if returnResult()->notEmpty() then returnResult()->any(true).lower else null endif) <p>From package UML::Classification.</p>""" raise NotImplementedError("operation get_lower(...) not yet implemented") def return_result(self): """The query returnResult() returns the set containing the return parameter of the Operation if one exists, otherwise, it returns an empty set result = (ownedParameter->select (direction = ParameterDirectionKind::return)->asSet()) <p>From package UML::Classification.</p>""" raise NotImplementedError("operation return_result(...) not yet implemented") def get_type(self): """If this operation has a return parameter, type equals the value of type for that parameter. Otherwise type has no value. result = (if returnResult()->notEmpty() then returnResult()->any(true).type else null endif) <p>From package UML::Classification.</p>""" raise NotImplementedError("operation get_type(...) not yet implemented") def get_upper(self): """If this operation has a return parameter, upper equals the value of upper for that parameter. Otherwise upper has no value. result = (if returnResult()->notEmpty() then returnResult()->any(true).upper else null endif) <p>From package UML::Classification.</p>""" raise NotImplementedError("operation get_upper(...) not yet implemented") class StringExpressionMixin(object): """User defined mixin class for StringExpression.""" def operands(self, diagnostics=None, context=None): """All the operands of a StringExpression must be LiteralStrings operand->forAll (oclIsKindOf (LiteralString))""" raise NotImplementedError("operation operands(...) not yet implemented") def subexpressions(self, diagnostics=None, context=None): """If a StringExpression has sub-expressions, it cannot have operands and vice versa (this avoids the problem of having to define a collating sequence between operands and subexpressions). if subExpression->notEmpty() then operand->isEmpty() else operand->notEmpty() endif""" raise NotImplementedError("operation subexpressions(...) not yet implemented") class RealizationMixin(object): """User defined mixin class for Realization.""" class PinMixin(object): """User defined mixin class for Pin.""" def control_pins(self, diagnostics=None, context=None): """A control Pin has a control type. isControl implies isControlType""" raise NotImplementedError("operation control_pins(...) not yet implemented") def not_unique(self, diagnostics=None, context=None): """Pin multiplicity is not unique. not isUnique""" raise NotImplementedError("operation not_unique(...) not yet implemented") class WriteLinkActionMixin(object): """User defined mixin class for WriteLinkAction.""" def allow_access(self, diagnostics=None, context=None): """The visibility of at least one end must allow access from the context Classifier of the WriteLinkAction. endData.end->exists(end | end.type=_'context' or end.visibility=VisibilityKind::public or end.visibility=VisibilityKind::protected and endData.end->exists(other | other<>end and _'context'.conformsTo(other.type.oclAsType(Classifier))))""" raise NotImplementedError("operation allow_access(...) not yet implemented") class WriteStructuralFeatureActionMixin(object): """User defined mixin class for WriteStructuralFeatureAction.""" def multiplicity_of_result(self, diagnostics=None, context=None): """The multiplicity of the result OutputPin must be 1..1. result <> null implies result.is(1,1)""" raise NotImplementedError( "operation multiplicity_of_result(...) not yet implemented" ) def type_of_value(self, diagnostics=None, context=None): """The type of the value InputPin must conform to the type of the structuralFeature. value <> null implies value.type.conformsTo(structuralFeature.type)""" raise NotImplementedError("operation type_of_value(...) not yet implemented") def multiplicity_of_value(self, diagnostics=None, context=None): """The multiplicity of the value InputPin is 1..1. value<>null implies value.is(1,1)""" raise NotImplementedError( "operation multiplicity_of_value(...) not yet implemented" ) def type_of_result(self, diagnostics=None, context=None): """The type of the result OutputPin is the same as the type of the inherited object InputPin. result <> null implies result.type = object.type""" raise NotImplementedError("operation type_of_result(...) not yet implemented") class WriteVariableActionMixin(object): """User defined mixin class for WriteVariableAction.""" def value_type(self, diagnostics=None, context=None): """The type of the value InputPin must conform to the type of the variable. value <> null implies value.type.conformsTo(variable.type)""" raise NotImplementedError("operation value_type(...) not yet implemented") def multiplicity(self, diagnostics=None, context=None): """The multiplicity of the value InputPin is 1..1. value<>null implies value.is(1,1)""" raise NotImplementedError("operation multiplicity(...) not yet implemented") class AcceptCallActionMixin(object): """User defined mixin class for AcceptCallAction.""" def result_pins(self, diagnostics=None, context=None): """The number of result OutputPins must be the same as the number of input (in and inout) ownedParameters of the Operation specified by the trigger Event. The type, ordering and multiplicity of each result OutputPin must be consistent with the corresponding input Parameter. let parameter: OrderedSet(Parameter) = trigger.event->asSequence()->first().oclAsType(CallEvent).operation.inputParameters() in result->size() = parameter->size() and Sequence{1..result->size()}->forAll(i | parameter->at(i).type.conformsTo(result->at(i).type) and parameter->at(i).isOrdered = result->at(i).isOrdered and parameter->at(i).compatibleWith(result->at(i)))""" raise NotImplementedError("operation result_pins(...) not yet implemented") def trigger_call_event(self, diagnostics=None, context=None): """The action must have exactly one trigger, which must be for a CallEvent. trigger->size()=1 and trigger->asSequence()->first().event.oclIsKindOf(CallEvent)""" raise NotImplementedError( "operation trigger_call_event(...) not yet implemented" ) def unmarshall(self, diagnostics=None, context=None): """isUnmrashall must be true for an AcceptCallAction. isUnmarshall = true""" raise NotImplementedError("operation unmarshall(...) not yet implemented") class BroadcastSignalActionMixin(object): """User defined mixin class for BroadcastSignalAction.""" def number_of_arguments(self, diagnostics=None, context=None): """The number of argument InputPins must be the same as the number of attributes in the signal. argument->size() = signal.allAttributes()->size()""" raise NotImplementedError( "operation number_of_arguments(...) not yet implemented" ) def type_ordering_multiplicity(self, diagnostics=None, context=None): """The type, ordering, and multiplicity of an argument InputPin must be the same as the corresponding attribute of the signal. let attribute: OrderedSet(Property) = signal.allAttributes() in Sequence{1..argument->size()}->forAll(i | argument->at(i).type.conformsTo(attribute->at(i).type) and argument->at(i).isOrdered = attribute->at(i).isOrdered and argument->at(i).compatibleWith(attribute->at(i)))""" raise NotImplementedError( "operation type_ordering_multiplicity(...) not yet implemented" ) def no_onport(self, diagnostics=None, context=None): """A BroadcaseSignalAction may not specify onPort. onPort=null""" raise NotImplementedError("operation no_onport(...) not yet implemented") class CallActionMixin(object): """User defined mixin class for CallAction.""" def argument_pins(self, diagnostics=None, context=None): """The number of argument InputPins must be the same as the number of input (in and inout) ownedParameters of the called Behavior or Operation. The type, ordering and multiplicity of each argument InputPin must be consistent with the corresponding input Parameter. let parameter: OrderedSet(Parameter) = self.inputParameters() in argument->size() = parameter->size() and Sequence{1..argument->size()}->forAll(i | argument->at(i).type.conformsTo(parameter->at(i).type) and argument->at(i).isOrdered = parameter->at(i).isOrdered and argument->at(i).compatibleWith(parameter->at(i)))""" raise NotImplementedError("operation argument_pins(...) not yet implemented") def result_pins(self, diagnostics=None, context=None): """The number of result OutputPins must be the same as the number of output (inout, out and return) ownedParameters of the called Behavior or Operation. The type, ordering and multiplicity of each result OutputPin must be consistent with the corresponding input Parameter. let parameter: OrderedSet(Parameter) = self.outputParameters() in result->size() = parameter->size() and Sequence{1..result->size()}->forAll(i | parameter->at(i).type.conformsTo(result->at(i).type) and parameter->at(i).isOrdered = result->at(i).isOrdered and parameter->at(i).compatibleWith(result->at(i)))""" raise NotImplementedError("operation result_pins(...) not yet implemented") def synchronous_call(self, diagnostics=None, context=None): """Only synchronous CallActions can have result OutputPins. result->notEmpty() implies isSynchronous""" raise NotImplementedError("operation synchronous_call(...) not yet implemented") def input_parameters(self): """Return the in and inout ownedParameters of the Behavior or Operation being called. (This operation is abstract and should be overridden by subclasses of CallAction.) <p>From package UML::Actions.</p>""" raise NotImplementedError("operation input_parameters(...) not yet implemented") def output_parameters(self): """Return the inout, out and return ownedParameters of the Behavior or Operation being called. (This operation is abstract and should be overridden by subclasses of CallAction.) <p>From package UML::Actions.</p>""" raise NotImplementedError( "operation output_parameters(...) not yet implemented" ) class ClearStructuralFeatureActionMixin(object): """User defined mixin class for ClearStructuralFeatureAction.""" def type_of_result(self, diagnostics=None, context=None): """The type of the result OutputPin is the same as the type of the inherited object InputPin. result<>null implies result.type = object.type""" raise NotImplementedError("operation type_of_result(...) not yet implemented") def multiplicity_of_result(self, diagnostics=None, context=None): """The multiplicity of the result OutputPin must be 1..1. result<>null implies result.is(1,1)""" raise NotImplementedError( "operation multiplicity_of_result(...) not yet implemented" ) class ClearVariableActionMixin(object): """User defined mixin class for ClearVariableAction.""" class ReadLinkActionMixin(object): """User defined mixin class for ReadLinkAction.""" def type_and_ordering(self, diagnostics=None, context=None): """The type and ordering of the result OutputPin are same as the type and ordering of the open Association end. self.openEnd()->forAll(type=result.type and isOrdered=result.isOrdered)""" raise NotImplementedError( "operation type_and_ordering(...) not yet implemented" ) def compatible_multiplicity(self, diagnostics=None, context=None): """The multiplicity of the open Association end must be compatible with the multiplicity of the result OutputPin. self.openEnd()->first().compatibleWith(result)""" raise NotImplementedError( "operation compatible_multiplicity(...) not yet implemented" ) def visibility(self, diagnostics=None, context=None): """Visibility of the open end must allow access from the object performing the action. let openEnd : Property = self.openEnd()->first() in openEnd.visibility = VisibilityKind::public or endData->exists(oed | oed.end<>openEnd and (_'context' = oed.end.type or (openEnd.visibility = VisibilityKind::protected and _'context'.conformsTo(oed.end.type.oclAsType(Classifier)))))""" raise NotImplementedError("operation visibility(...) not yet implemented") def one_open_end(self, diagnostics=None, context=None): """Exactly one linkEndData specification (corresponding to the "open" end) must not have an value InputPin. self.openEnd()->size() = 1""" raise NotImplementedError("operation one_open_end(...) not yet implemented") def navigable_open_end(self, diagnostics=None, context=None): """The open end must be navigable. self.openEnd()->first().isNavigable()""" raise NotImplementedError( "operation navigable_open_end(...) not yet implemented" ) def open_end(self): """Returns the ends corresponding to endData with no value InputPin. (A well-formed ReadLinkAction is constrained to have only one of these.) result = (endData->select(value=null).end->asOrderedSet()) <p>From package UML::Actions.</p>""" raise NotImplementedError("operation open_end(...) not yet implemented") class ReadStructuralFeatureActionMixin(object): """User defined mixin class for ReadStructuralFeatureAction.""" def type_and_ordering(self, diagnostics=None, context=None): """The type and ordering of the result OutputPin are the same as the type and ordering of the StructuralFeature. result.type =structuralFeature.type and result.isOrdered = structuralFeature.isOrdered""" raise NotImplementedError( "operation type_and_ordering(...) not yet implemented" ) class ReadVariableActionMixin(object): """User defined mixin class for ReadVariableAction.""" def type_and_ordering(self, diagnostics=None, context=None): """The type and ordering of the result OutputPin are the same as the type and ordering of the variable. result.type =variable.type and result.isOrdered = variable.isOrdered""" raise NotImplementedError( "operation type_and_ordering(...) not yet implemented" ) def compatible_multiplicity(self, diagnostics=None, context=None): """The multiplicity of the variable must be compatible with the multiplicity of the output pin. variable.compatibleWith(result)""" raise NotImplementedError( "operation compatible_multiplicity(...) not yet implemented" ) class SendObjectActionMixin(object): """User defined mixin class for SendObjectAction.""" def type_target_pin(self, diagnostics=None, context=None): """If onPort is not empty, the Port given by onPort must be an owned or inherited feature of the type of the target InputPin. onPort<>null implies target.type.oclAsType(Classifier).allFeatures()->includes(onPort)""" raise NotImplementedError("operation type_target_pin(...) not yet implemented") class SendSignalActionMixin(object): """User defined mixin class for SendSignalAction.""" def type_ordering_multiplicity(self, diagnostics=None, context=None): """The type, ordering, and multiplicity of an argument InputPin must be the same as the corresponding attribute of the signal. let attribute: OrderedSet(Property) = signal.allAttributes() in Sequence{1..argument->size()}->forAll(i | argument->at(i).type.conformsTo(attribute->at(i).type) and argument->at(i).isOrdered = attribute->at(i).isOrdered and argument->at(i).compatibleWith(attribute->at(i)))""" raise NotImplementedError( "operation type_ordering_multiplicity(...) not yet implemented" ) def number_order(self, diagnostics=None, context=None): """The number and order of argument InputPins must be the same as the number and order of attributes of the signal. argument->size()=signal.allAttributes()->size()""" raise NotImplementedError("operation number_order(...) not yet implemented") def type_target_pin(self, diagnostics=None, context=None): """If onPort is not empty, the Port given by onPort must be an owned or inherited feature of the type of the target InputPin. not onPort->isEmpty() implies target.type.oclAsType(Classifier).allFeatures()->includes(onPort)""" raise NotImplementedError("operation type_target_pin(...) not yet implemented") class DataStoreNodeMixin(object): """User defined mixin class for DataStoreNode.""" class BehavioredClassifierMixin(object): """User defined mixin class for BehavioredClassifier.""" def class_behavior(self, diagnostics=None, context=None): """If a behavior is classifier behavior, it does not have a specification. classifierBehavior->notEmpty() implies classifierBehavior.specification->isEmpty()""" raise NotImplementedError("operation class_behavior(...) not yet implemented") def get_all_implemented_interfaces(self): """Retrieves all the interfaces on which this behaviored classifier or any of its parents has an interface realization dependency.""" raise NotImplementedError( "operation get_all_implemented_interfaces(...) not yet implemented" ) def get_implemented_interfaces(self): """Retrieves the interfaces on which this behaviored classifier has an interface realization dependency.""" raise NotImplementedError( "operation get_implemented_interfaces(...) not yet implemented" ) class DataTypeMixin(object): """User defined mixin class for DataType.""" def create_owned_attribute(self, name=None, type=None, lower=None, upper=None): """Creates a property with the specified name, type, lower bound, and upper bound as an owned attribute of this data type.""" raise NotImplementedError( "operation create_owned_attribute(...) not yet implemented" ) def create_owned_operation( self, name=None, parameterNames=None, parameterTypes=None, returnType=None ): """Creates an operation with the specified name, parameter names, parameter types, and return type (or null) as an owned operation of this data type.""" raise NotImplementedError( "operation create_owned_operation(...) not yet implemented" ) class InterfaceMixin(object): """User defined mixin class for Interface.""" def visibility(self, diagnostics=None, context=None): """The visibility of all Features owned by an Interface must be public. feature->forAll(visibility = VisibilityKind::public)""" raise NotImplementedError("operation visibility(...) not yet implemented") def create_owned_attribute(self, name=None, type=None, lower=None, upper=None): """Creates a property with the specified name, type, lower bound, and upper bound as an owned attribute of this interface.""" raise NotImplementedError( "operation create_owned_attribute(...) not yet implemented" ) def create_owned_operation( self, name=None, parameterNames=None, parameterTypes=None, returnType=None ): """Creates an operation with the specified name, parameter names, parameter types, and return type (or null) as an owned operation of this interface.""" raise NotImplementedError( "operation create_owned_operation(...) not yet implemented" ) class SignalMixin(object): """User defined mixin class for Signal.""" def create_owned_attribute(self, name=None, type=None, lower=None, upper=None): """Creates a property with the specified name, type, lower bound, and upper bound as an owned attribute of this signal.""" raise NotImplementedError( "operation create_owned_attribute(...) not yet implemented" ) class StructuredClassifierMixin(object): """User defined mixin class for StructuredClassifier.""" def create_owned_attribute(self, name=None, type=None, lower=None, upper=None): """Creates a property with the specified name, type, lower bound, and upper bound as an owned attribute of this structured classifier.""" raise NotImplementedError( "operation create_owned_attribute(...) not yet implemented" ) def get_parts(self): """Derivation for StructuredClassifier::/part result = (ownedAttribute->select(isComposite)->asSet()) <p>From package UML::StructuredClassifiers.</p>""" raise NotImplementedError("operation get_parts(...) not yet implemented") def all_roles(self): """All features of type ConnectableElement, equivalent to all direct and inherited roles. result = (allFeatures()->select(oclIsKindOf(ConnectableElement))->collect(oclAsType(ConnectableElement))->asSet()) <p>From package UML::StructuredClassifiers.</p>""" raise NotImplementedError("operation all_roles(...) not yet implemented") class SubstitutionMixin(object): """User defined mixin class for Substitution.""" class InterfaceRealizationMixin(object): """User defined mixin class for InterfaceRealization.""" class StructuredActivityNodeMixin(object): """User defined mixin class for StructuredActivityNode.""" def output_pin_edges(self, diagnostics=None, context=None): """The outgoing ActivityEdges of the OutputPins of a StructuredActivityNode must have targets that are not within the StructuredActivityNode. output.outgoing.target->excludesAll(allOwnedNodes()-input)""" raise NotImplementedError("operation output_pin_edges(...) not yet implemented") def edges(self, diagnostics=None, context=None): """The edges of a StructuredActivityNode are all the ActivityEdges with source and target ActivityNodes contained directly or indirectly within the StructuredActivityNode and at least one of the source or target not contained in any more deeply nested StructuredActivityNode. edge=self.sourceNodes().outgoing->intersection(self.allOwnedNodes().incoming)-> union(self.targetNodes().incoming->intersection(self.allOwnedNodes().outgoing))->asSet()""" raise NotImplementedError("operation edges(...) not yet implemented") def input_pin_edges(self, diagnostics=None, context=None): """The incoming ActivityEdges of an InputPin of a StructuredActivityNode must have sources that are not within the StructuredActivityNode. input.incoming.source->excludesAll(allOwnedNodes()-output)""" raise NotImplementedError("operation input_pin_edges(...) not yet implemented") def source_nodes(self): """Return those ActivityNodes contained immediately within the StructuredActivityNode that may act as sources of edges owned by the StructuredActivityNode. result = (node->union(input.oclAsType(ActivityNode)->asSet())-> union(node->select(oclIsKindOf(Action)).oclAsType(Action).output)->asSet()) <p>From package UML::Actions.</p>""" raise NotImplementedError("operation source_nodes(...) not yet implemented") def target_nodes(self): """Return those ActivityNodes contained immediately within the StructuredActivityNode that may act as targets of edges owned by the StructuredActivityNode. result = (node->union(output.oclAsType(ActivityNode)->asSet())-> union(node->select(oclIsKindOf(Action)).oclAsType(Action).input)->asSet()) <p>From package UML::Actions.</p>""" raise NotImplementedError("operation target_nodes(...) not yet implemented") class InputPinMixin(object): """User defined mixin class for InputPin.""" def outgoing_edges_structured_only(self, diagnostics=None, context=None): """An InputPin may have outgoing ActivityEdges only when it is owned by a StructuredActivityNode, and these edges must target a node contained (directly or indirectly) in the owning StructuredActivityNode. outgoing->notEmpty() implies action<>null and action.oclIsKindOf(StructuredActivityNode) and action.oclAsType(StructuredActivityNode).allOwnedNodes()->includesAll(outgoing.target)""" raise NotImplementedError( "operation outgoing_edges_structured_only(...) not yet implemented" ) class OutputPinMixin(object): """User defined mixin class for OutputPin.""" def incoming_edges_structured_only(self, diagnostics=None, context=None): """An OutputPin may have incoming ActivityEdges only when it is owned by a StructuredActivityNode, and these edges must have sources contained (directly or indirectly) in the owning StructuredActivityNode. incoming->notEmpty() implies action<>null and action.oclIsKindOf(StructuredActivityNode) and action.oclAsType(StructuredActivityNode).allOwnedNodes()->includesAll(incoming.source)""" raise NotImplementedError( "operation incoming_edges_structured_only(...) not yet implemented" ) class AddStructuralFeatureValueActionMixin(object): """User defined mixin class for AddStructuralFeatureValueAction.""" def required_value(self, diagnostics=None, context=None): """A value InputPin is required. value<>null""" raise NotImplementedError("operation required_value(...) not yet implemented") def insert_at_pin(self, diagnostics=None, context=None): """AddStructuralFeatureActions adding a value to ordered StructuralFeatures must have a single InputPin for the insertion point with type UnlimitedNatural and multiplicity of 1..1 if isReplaceAll=false, and must have no Input Pin for the insertion point when the StructuralFeature is unordered. if not structuralFeature.isOrdered then insertAt = null else not isReplaceAll implies insertAt<>null and insertAt->forAll(type=UnlimitedNatural and is(1,1.oclAsType(UnlimitedNatural))) endif""" raise NotImplementedError("operation insert_at_pin(...) not yet implemented") class AddVariableValueActionMixin(object): """User defined mixin class for AddVariableValueAction.""" def required_value(self, diagnostics=None, context=None): """A value InputPin is required. value <> null""" raise NotImplementedError("operation required_value(...) not yet implemented") def insert_at_pin(self, diagnostics=None, context=None): """AddVariableValueActions for ordered Variables must have a single InputPin for the insertion point with type UnlimtedNatural and multiplicity of 1..1 if isReplaceAll=false, otherwise the Action has no InputPin for the insertion point. if not variable.isOrdered then insertAt = null else not isReplaceAll implies insertAt<>null and insertAt->forAll(type=UnlimitedNatural and is(1,1.oclAsType(UnlimitedNatural))) endif""" raise NotImplementedError("operation insert_at_pin(...) not yet implemented") class CallBehaviorActionMixin(object): """User defined mixin class for CallBehaviorAction.""" def no_onport(self, diagnostics=None, context=None): """A CallBehaviorAction may not specify onPort. onPort=null""" raise NotImplementedError("operation no_onport(...) not yet implemented") class CallOperationActionMixin(object): """User defined mixin class for CallOperationAction.""" def type_target_pin(self, diagnostics=None, context=None): """If onPort has no value, the operation must be an owned or inherited feature of the type of the target InputPin, otherwise the Port given by onPort must be an owned or inherited feature of the type of the target InputPin, and the Port must have a required or provided Interface with the operation as an owned or inherited feature. if onPort=null then target.type.oclAsType(Classifier).allFeatures()->includes(operation) else target.type.oclAsType(Classifier).allFeatures()->includes(onPort) and onPort.provided->union(onPort.required).allFeatures()->includes(operation) endif""" raise NotImplementedError("operation type_target_pin(...) not yet implemented") class CreateLinkActionMixin(object): """User defined mixin class for CreateLinkAction.""" def association_not_abstract(self, diagnostics=None, context=None): """The Association cannot be an abstract Classifier. not self.association().isAbstract""" raise NotImplementedError( "operation association_not_abstract(...) not yet implemented" ) class DestroyLinkActionMixin(object): """User defined mixin class for DestroyLinkAction.""" class RemoveStructuralFeatureValueActionMixin(object): """User defined mixin class for RemoveStructuralFeatureValueAction.""" def remove_at_and_value(self, diagnostics=None, context=None): """RemoveStructuralFeatureValueActions removing a value from ordered, non-unique StructuralFeatures must have a single removeAt InputPin and no value InputPin, if isRemoveDuplicates is false. The removeAt InputPin must be of type Unlimited Natural with multiplicity 1..1. Otherwise, the Action has a value InputPin and no removeAt InputPin. if structuralFeature.isOrdered and not structuralFeature.isUnique and not isRemoveDuplicates then value = null and removeAt <> null and removeAt.type = UnlimitedNatural and removeAt.is(1,1) else removeAt = null and value <> null endif""" raise NotImplementedError( "operation remove_at_and_value(...) not yet implemented" ) class RemoveVariableValueActionMixin(object): """User defined mixin class for RemoveVariableValueAction.""" def remove_at_and_value(self, diagnostics=None, context=None): """ReadVariableActions removing a value from ordered, non-unique Variables must have a single removeAt InputPin and no value InputPin, if isRemoveDuplicates is false. The removeAt InputPin must be of type Unlimited Natural with multiplicity 1..1. Otherwise, the Action has a value InputPin and no removeAt InputPin. if variable.isOrdered and not variable.isUnique and not isRemoveDuplicates then value = null and removeAt <> null and removeAt.type = UnlimitedNatural and removeAt.is(1,1) else removeAt = null and value <> null endif""" raise NotImplementedError( "operation remove_at_and_value(...) not yet implemented" ) class StartObjectBehaviorActionMixin(object): """User defined mixin class for StartObjectBehaviorAction.""" def multiplicity_of_object(self, diagnostics=None, context=None): """The multiplicity of the object InputPin must be 1..1. object.is(1,1)""" raise NotImplementedError( "operation multiplicity_of_object(...) not yet implemented" ) def type_of_object(self, diagnostics=None, context=None): """The type of the object InputPin must be either a Behavior or a BehavioredClassifier with a classifierBehavior. self.behavior()<>null""" raise NotImplementedError("operation type_of_object(...) not yet implemented") def no_onport(self, diagnostics=None, context=None): """A StartObjectBehaviorAction may not specify onPort. onPort->isEmpty()""" raise NotImplementedError("operation no_onport(...) not yet implemented") def behavior(self): """If the type of the object InputPin is a Behavior, then that Behavior. Otherwise, if the type of the object InputPin is a BehavioredClassifier, then the classifierBehavior of that BehavioredClassifier. result = (if object.type.oclIsKindOf(Behavior) then object.type.oclAsType(Behavior) else if object.type.oclIsKindOf(BehavioredClassifier) then object.type.oclAsType(BehavioredClassifier).classifierBehavior else null endif endif) <p>From package UML::Actions.</p>""" raise NotImplementedError("operation behavior(...) not yet implemented") class InformationItemMixin(object): """User defined mixin class for InformationItem.""" def sources_and_targets(self, diagnostics=None, context=None): """The sources and targets of an information item (its related information flows) must designate subsets of the sources and targets of the representation information item, if any. The Classifiers that can realize an information item can only be of the following kind: Class, Interface, InformationItem, Signal, Component. (self.represented->select(oclIsKindOf(InformationItem))->forAll(p | p.conveyingFlow.source->forAll(q | self.conveyingFlow.source->includes(q)) and p.conveyingFlow.target->forAll(q | self.conveyingFlow.target->includes(q)))) and (self.represented->forAll(oclIsKindOf(Class) or oclIsKindOf(Interface) or oclIsKindOf(InformationItem) or oclIsKindOf(Signal) or oclIsKindOf(Component)))""" raise NotImplementedError( "operation sources_and_targets(...) not yet implemented" ) def has_no(self, diagnostics=None, context=None): """An informationItem has no feature, no generalization, and no associations. self.generalization->isEmpty() and self.feature->isEmpty()""" raise NotImplementedError("operation has_no(...) not yet implemented") def not_instantiable(self, diagnostics=None, context=None): """It is not instantiable. isAbstract""" raise NotImplementedError("operation not_instantiable(...) not yet implemented") class ComponentRealizationMixin(object): """User defined mixin class for ComponentRealization.""" class AssociationMixin(object): """User defined mixin class for Association.""" def specialized_end_number(self, diagnostics=None, context=None): """An Association specializing another Association has the same number of ends as the other Association. parents()->select(oclIsKindOf(Association)).oclAsType(Association)->forAll(p | p.memberEnd->size() = self.memberEnd->size())""" raise NotImplementedError( "operation specialized_end_number(...) not yet implemented" ) def specialized_end_types(self, diagnostics=None, context=None): """When an Association specializes another Association, every end of the specific Association corresponds to an end of the general Association, and the specific end reaches the same type or a subtype of the corresponding general end. Sequence{1..memberEnd->size()}-> forAll(i | general->select(oclIsKindOf(Association)).oclAsType(Association)-> forAll(ga | self.memberEnd->at(i).type.conformsTo(ga.memberEnd->at(i).type)))""" raise NotImplementedError( "operation specialized_end_types(...) not yet implemented" ) def binary_associations(self, diagnostics=None, context=None): """Only binary Associations can be aggregations. memberEnd->exists(aggregation <> AggregationKind::none) implies (memberEnd->size() = 2 and memberEnd->exists(aggregation = AggregationKind::none))""" raise NotImplementedError( "operation binary_associations(...) not yet implemented" ) def association_ends(self, diagnostics=None, context=None): """Ends of Associations with more than two ends must be owned by the Association itself. memberEnd->size() > 2 implies ownedEnd->includesAll(memberEnd)""" raise NotImplementedError("operation association_ends(...) not yet implemented") def ends_must_be_typed(self, diagnostics=None, context=None): """memberEnd->forAll(type->notEmpty())""" raise NotImplementedError( "operation ends_must_be_typed(...) not yet implemented" ) def is_binary(self): """Determines whether this association is a binary association, i.e. whether it has exactly two member ends.""" raise NotImplementedError("operation is_binary(...) not yet implemented") def get_end_types(self): """endType is derived from the types of the member ends. result = (memberEnd->collect(type)->asSet()) <p>From package UML::StructuredClassifiers.</p>""" raise NotImplementedError("operation get_end_types(...) not yet implemented") class PropertyMixin(object): """User defined mixin class for Property.""" @property @default.setter @property @isComposite.setter @property @opposite.setter def subsetting_context_conforms(self, diagnostics=None, context=None): """Subsetting may only occur when the context of the subsetting property conforms to the context of the subsetted property. subsettedProperty->notEmpty() implies (subsettingContext()->notEmpty() and subsettingContext()->forAll (sc | subsettedProperty->forAll(sp | sp.subsettingContext()->exists(c | sc.conformsTo(c)))))""" raise NotImplementedError( "operation subsetting_context_conforms(...) not yet implemented" ) def derived_union_is_read_only(self, diagnostics=None, context=None): """A derived union is read only. isDerivedUnion implies isReadOnly""" raise NotImplementedError( "operation derived_union_is_read_only(...) not yet implemented" ) def multiplicity_of_composite(self, diagnostics=None, context=None): """A multiplicity on the composing end of a composite aggregation must not have an upper bound greater than 1. isComposite and association <> null implies opposite.upperBound() <= 1""" raise NotImplementedError( "operation multiplicity_of_composite(...) not yet implemented" ) def redefined_property_inherited(self, diagnostics=None, context=None): """A redefined Property must be inherited from a more general Classifier. (redefinedProperty->notEmpty()) implies (redefinitionContext->notEmpty() and redefinedProperty->forAll(rp| ((redefinitionContext->collect(fc| fc.allParents()))->asSet())->collect(c| c.allFeatures())->asSet()->includes(rp)))""" raise NotImplementedError( "operation redefined_property_inherited(...) not yet implemented" ) def subsetting_rules(self, diagnostics=None, context=None): """A subsetting Property may strengthen the type of the subsetted Property, and its upper bound may be less. subsettedProperty->forAll(sp | self.type.conformsTo(sp.type) and ((self.upperBound()->notEmpty() and sp.upperBound()->notEmpty()) implies self.upperBound() <= sp.upperBound() ))""" raise NotImplementedError("operation subsetting_rules(...) not yet implemented") def binding_to_attribute(self, diagnostics=None, context=None): """A binding of a PropertyTemplateParameter representing an attribute must be to an attribute. (self.isAttribute() and (templateParameterSubstitution->notEmpty()) implies (templateParameterSubstitution->forAll(ts | ts.formal.oclIsKindOf(Property) and ts.formal.oclAsType(Property).isAttribute())))""" raise NotImplementedError( "operation binding_to_attribute(...) not yet implemented" ) def derived_union_is_derived(self, diagnostics=None, context=None): """A derived union is derived. isDerivedUnion implies isDerived""" raise NotImplementedError( "operation derived_union_is_derived(...) not yet implemented" ) def deployment_target(self, diagnostics=None, context=None): """A Property can be a DeploymentTarget if it is a kind of Node and functions as a part in the internal structure of an encompassing Node. deployment->notEmpty() implies owner.oclIsKindOf(Node) and Node.allInstances()->exists(n | n.part->exists(p | p = self))""" raise NotImplementedError( "operation deployment_target(...) not yet implemented" ) def subsetted_property_names(self, diagnostics=None, context=None): """A Property may not subset a Property with the same name. subsettedProperty->forAll(sp | sp.name <> name)""" raise NotImplementedError( "operation subsetted_property_names(...) not yet implemented" ) def type_of_opposite_end(self, diagnostics=None, context=None): """If a Property is a classifier-owned end of a binary Association, its owner must be the type of the opposite end. (opposite->notEmpty() and owningAssociation->isEmpty()) implies classifier = opposite.type""" raise NotImplementedError( "operation type_of_opposite_end(...) not yet implemented" ) def qualified_is_association_end(self, diagnostics=None, context=None): """All qualified Properties must be Association ends qualifier->notEmpty() implies association->notEmpty()""" raise NotImplementedError( "operation qualified_is_association_end(...) not yet implemented" ) def get_default(self): """Retrieves a string representation of the default value for this property.""" raise NotImplementedError("operation get_default(...) not yet implemented") def get_other_end(self): """Retrieves the other end of the (binary) association in which this property is a member end.""" raise NotImplementedError("operation get_other_end(...) not yet implemented") def set_boolean_default_value(self, value=None): """Sets the default value for this property to the specified Boolean value.""" raise NotImplementedError( "operation set_boolean_default_value(...) not yet implemented" ) def set_default(self, newDefault=None): """Sets the default value for this property based on the specified string representation.""" raise NotImplementedError("operation set_default(...) not yet implemented") def set_integer_default_value(self, value=None): """Sets the default value for this property to the specified integer value.""" raise NotImplementedError( "operation set_integer_default_value(...) not yet implemented" ) def set_is_navigable(self, isNavigable=None): """Sets the navigability of this property as indicated.""" raise NotImplementedError("operation set_is_navigable(...) not yet implemented") def set_null_default_value(self): """Sets the default value for this property to the null value.""" raise NotImplementedError( "operation set_null_default_value(...) not yet implemented" ) def set_real_default_value(self, value=None): """Sets the default value for this property to the specified real value.""" raise NotImplementedError( "operation set_real_default_value(...) not yet implemented" ) def set_string_default_value(self, value=None): """Sets the default value for this property to the specified string value.""" raise NotImplementedError( "operation set_string_default_value(...) not yet implemented" ) def set_unlimited_natural_default_value(self, value=None): """Sets the default value for this property to the specified unlimited natural value.""" raise NotImplementedError( "operation set_unlimited_natural_default_value(...) not yet implemented" ) def is_attribute(self): """The query isAttribute() is true if the Property is defined as an attribute of some Classifier. result = (not classifier->isEmpty()) <p>From package UML::Classification.</p>""" raise NotImplementedError("operation is_attribute(...) not yet implemented") def is_composite(self): """The value of isComposite is true only if aggregation is composite. result = (aggregation = AggregationKind::composite) <p>From package UML::Classification.</p>""" return self.isComposite def is_navigable(self): """The query isNavigable() indicates whether it is possible to navigate across the property. result = (not classifier->isEmpty() or association.navigableOwnedEnd->includes(self)) <p>From package UML::Classification.</p>""" raise NotImplementedError("operation is_navigable(...) not yet implemented") def get_opposite(self): """If this property is a memberEnd of a binary association, then opposite gives the other end. result = (if association <> null and association.memberEnd->size() = 2 then association.memberEnd->any(e | e <> self) else null endif) <p>From package UML::Classification.</p>""" raise NotImplementedError("operation get_opposite(...) not yet implemented") def subsetting_context(self): """The query subsettingContext() gives the context for subsetting a Property. It consists, in the case of an attribute, of the corresponding Classifier, and in the case of an association end, all of the Classifiers at the other ends. result = (if association <> null then association.memberEnd->excluding(self)->collect(type)->asSet() else if classifier<>null then classifier->asSet() else Set{} endif endif) <p>From package UML::Classification.</p>""" raise NotImplementedError( "operation subsetting_context(...) not yet implemented" ) class ArtifactMixin(object): """User defined mixin class for Artifact.""" def create_owned_attribute(self, name=None, type=None, lower=None, upper=None): """Creates a property with the specified name, type, lower bound, and upper bound as an owned attribute of this artifact.""" raise NotImplementedError( "operation create_owned_attribute(...) not yet implemented" ) def create_owned_operation( self, name=None, parameterNames=None, parameterTypes=None, returnType=None ): """Creates an operation with the specified name, parameter names, parameter types, and return type (or null) as an owned operation of this artifact.""" raise NotImplementedError( "operation create_owned_operation(...) not yet implemented" ) class EnumerationMixin(object): """User defined mixin class for Enumeration.""" def immutable(self, diagnostics=None, context=None): """ownedAttribute->forAll(isReadOnly)""" raise NotImplementedError("operation immutable(...) not yet implemented") class PrimitiveTypeMixin(object): """User defined mixin class for PrimitiveType.""" class UseCaseMixin(object): """User defined mixin class for UseCase.""" def binary_associations(self, diagnostics=None, context=None): """UseCases can only be involved in binary Associations. Association.allInstances()->forAll(a | a.memberEnd.type->includes(self) implies a.memberEnd->size() = 2)""" raise NotImplementedError( "operation binary_associations(...) not yet implemented" ) def no_association_to_use_case(self, diagnostics=None, context=None): """UseCases cannot have Associations to UseCases specifying the same subject. Association.allInstances()->forAll(a | a.memberEnd.type->includes(self) implies ( let usecases: Set(UseCase) = a.memberEnd.type->select(oclIsKindOf(UseCase))->collect(oclAsType(UseCase))->asSet() in usecases->size() > 1 implies usecases->collect(subject)->size() > 1 ) )""" raise NotImplementedError( "operation no_association_to_use_case(...) not yet implemented" ) def cannot_include_self(self, diagnostics=None, context=None): """A UseCase cannot include UseCases that directly or indirectly include it. not allIncludedUseCases()->includes(self)""" raise NotImplementedError( "operation cannot_include_self(...) not yet implemented" ) def must_have_name(self, diagnostics=None, context=None): """A UseCase must have a name. name -> notEmpty ()""" raise NotImplementedError("operation must_have_name(...) not yet implemented") def all_included_use_cases(self): """The query allIncludedUseCases() returns the transitive closure of all UseCases (directly or indirectly) included by this UseCase. result = (self.include.addition->union(self.include.addition->collect(uc | uc.allIncludedUseCases()))->asSet()) <p>From package UML::UseCases.</p>""" raise NotImplementedError( "operation all_included_use_cases(...) not yet implemented" ) class EncapsulatedClassifierMixin(object): """User defined mixin class for EncapsulatedClassifier.""" def get_owned_ports(self): """Derivation for EncapsulatedClassifier::/ownedPort : Port result = (ownedAttribute->select(oclIsKindOf(Port))->collect(oclAsType(Port))->asOrderedSet()) <p>From package UML::StructuredClassifiers.</p>""" raise NotImplementedError("operation get_owned_ports(...) not yet implemented") class ActionInputPinMixin(object): """User defined mixin class for ActionInputPin.""" def input_pin(self, diagnostics=None, context=None): """The fromAction of an ActionInputPin must only have ActionInputPins as InputPins. fromAction.input->forAll(oclIsKindOf(ActionInputPin))""" raise NotImplementedError("operation input_pin(...) not yet implemented") def one_output_pin(self, diagnostics=None, context=None): """The fromAction of an ActionInputPin must have exactly one OutputPin. fromAction.output->size() = 1""" raise NotImplementedError("operation one_output_pin(...) not yet implemented") def no_control_or_object_flow(self, diagnostics=None, context=None): """The fromAction of an ActionInputPin cannot have ActivityEdges coming into or out of it or its Pins. fromAction.incoming->union(outgoing)->isEmpty() and fromAction.input.incoming->isEmpty() and fromAction.output.outgoing->isEmpty()""" raise NotImplementedError( "operation no_control_or_object_flow(...) not yet implemented" ) class ConditionalNodeMixin(object): """User defined mixin class for ConditionalNode.""" def result_no_incoming(self, diagnostics=None, context=None): """The result OutputPins have no incoming edges. result.incoming->isEmpty()""" raise NotImplementedError( "operation result_no_incoming(...) not yet implemented" ) def no_input_pins(self, diagnostics=None, context=None): """A ConditionalNode has no InputPins. input->isEmpty()""" raise NotImplementedError("operation no_input_pins(...) not yet implemented") def one_clause_with_executable_node(self, diagnostics=None, context=None): """No ExecutableNode in the ConditionNode may appear in the test or body part of more than one clause of a ConditionalNode. node->select(oclIsKindOf(ExecutableNode)).oclAsType(ExecutableNode)->forAll(n | self.clause->select(test->union(_'body')->includes(n))->size()=1)""" raise NotImplementedError( "operation one_clause_with_executable_node(...) not yet implemented" ) def matching_output_pins(self, diagnostics=None, context=None): """Each clause of a ConditionalNode must have the same number of bodyOutput pins as the ConditionalNode has result OutputPins, and each clause bodyOutput Pin must be compatible with the corresponding result OutputPin (by positional order) in type, multiplicity, ordering, and uniqueness. clause->forAll( bodyOutput->size()=self.result->size() and Sequence{1..self.result->size()}->forAll(i | bodyOutput->at(i).type.conformsTo(result->at(i).type) and bodyOutput->at(i).isOrdered = result->at(i).isOrdered and bodyOutput->at(i).isUnique = result->at(i).isUnique and bodyOutput->at(i).compatibleWith(result->at(i))))""" raise NotImplementedError( "operation matching_output_pins(...) not yet implemented" ) def executable_nodes(self, diagnostics=None, context=None): """The union of the ExecutableNodes in the test and body parts of all clauses must be the same as the subset of nodes contained in the ConditionalNode (considered as a StructuredActivityNode) that are ExecutableNodes. clause.test->union(clause._'body') = node->select(oclIsKindOf(ExecutableNode)).oclAsType(ExecutableNode)""" raise NotImplementedError("operation executable_nodes(...) not yet implemented") def clause_no_predecessor(self, diagnostics=None, context=None): """No two clauses within a ConditionalNode may be predecessorClauses of each other, either directly or indirectly. clause->closure(predecessorClause)->intersection(clause)->isEmpty()""" raise NotImplementedError( "operation clause_no_predecessor(...) not yet implemented" ) class CreateLinkObjectActionMixin(object): """User defined mixin class for CreateLinkObjectAction.""" def multiplicity(self, diagnostics=None, context=None): """The multiplicity of the OutputPin is 1..1. result.is(1,1)""" raise NotImplementedError("operation multiplicity(...) not yet implemented") def type_of_result(self, diagnostics=None, context=None): """The type of the result OutputPin must be the same as the Association of the CreateLinkObjectAction. result.type = association()""" raise NotImplementedError("operation type_of_result(...) not yet implemented") def association_class(self, diagnostics=None, context=None): """The Association must be an AssociationClass. self.association().oclIsKindOf(AssociationClass)""" raise NotImplementedError( "operation association_class(...) not yet implemented" ) class ExpansionRegionMixin(object): """User defined mixin class for ExpansionRegion.""" class LoopNodeMixin(object): """User defined mixin class for LoopNode.""" def result_no_incoming(self, diagnostics=None, context=None): """The result OutputPins have no incoming edges. result.incoming->isEmpty()""" raise NotImplementedError( "operation result_no_incoming(...) not yet implemented" ) def input_edges(self, diagnostics=None, context=None): """The loopVariableInputs must not have outgoing edges. loopVariableInput.outgoing->isEmpty()""" raise NotImplementedError("operation input_edges(...) not yet implemented") def executable_nodes(self, diagnostics=None, context=None): """The union of the ExecutableNodes in the setupPart, test and bodyPart of a LoopNode must be the same as the subset of nodes contained in the LoopNode (considered as a StructuredActivityNode) that are ExecutableNodes. setupPart->union(test)->union(bodyPart)=node->select(oclIsKindOf(ExecutableNode)).oclAsType(ExecutableNode)->asSet()""" raise NotImplementedError("operation executable_nodes(...) not yet implemented") def body_output_pins(self, diagnostics=None, context=None): """The bodyOutput pins are OutputPins on Actions in the body of the LoopNode. bodyPart.oclAsType(Action).allActions().output->includesAll(bodyOutput)""" raise NotImplementedError("operation body_output_pins(...) not yet implemented") def setup_test_and_body(self, diagnostics=None, context=None): """The test and body parts of a ConditionalNode must be disjoint with each other. setupPart->intersection(test)->isEmpty() and setupPart->intersection(bodyPart)->isEmpty() and test->intersection(bodyPart)->isEmpty()""" raise NotImplementedError( "operation setup_test_and_body(...) not yet implemented" ) def matching_output_pins(self, diagnostics=None, context=None): """A LoopNode must have the same number of bodyOutput Pins as loopVariables, and each bodyOutput Pin must be compatible with the corresponding loopVariable (by positional order) in type, multiplicity, ordering and uniqueness. bodyOutput->size()=loopVariable->size() and Sequence{1..loopVariable->size()}->forAll(i | bodyOutput->at(i).type.conformsTo(loopVariable->at(i).type) and bodyOutput->at(i).isOrdered = loopVariable->at(i).isOrdered and bodyOutput->at(i).isUnique = loopVariable->at(i).isUnique and loopVariable->at(i).includesMultiplicity(bodyOutput->at(i)))""" raise NotImplementedError( "operation matching_output_pins(...) not yet implemented" ) def matching_loop_variables(self, diagnostics=None, context=None): """A LoopNode must have the same number of loopVariableInputs and loopVariables, and they must match in type, uniqueness and multiplicity. loopVariableInput->size()=loopVariable->size() and loopVariableInput.type=loopVariable.type and loopVariableInput.isUnique=loopVariable.isUnique and loopVariableInput.lower=loopVariable.lower and loopVariableInput.upper=loopVariable.upper""" raise NotImplementedError( "operation matching_loop_variables(...) not yet implemented" ) def matching_result_pins(self, diagnostics=None, context=None): """A LoopNode must have the same number of result OutputPins and loopVariables, and they must match in type, uniqueness and multiplicity. result->size()=loopVariable->size() and result.type=loopVariable.type and result.isUnique=loopVariable.isUnique and result.lower=loopVariable.lower and result.upper=loopVariable.upper""" raise NotImplementedError( "operation matching_result_pins(...) not yet implemented" ) def loop_variable_outgoing(self, diagnostics=None, context=None): """All ActivityEdges outgoing from loopVariable OutputPins must have targets within the LoopNode. allOwnedNodes()->includesAll(loopVariable.outgoing.target)""" raise NotImplementedError( "operation loop_variable_outgoing(...) not yet implemented" ) class SequenceNodeMixin(object): """User defined mixin class for SequenceNode.""" class ValuePinMixin(object): """User defined mixin class for ValuePin.""" def no_incoming_edges(self, diagnostics=None, context=None): """A ValuePin may have no incoming ActivityEdges. incoming->isEmpty()""" raise NotImplementedError( "operation no_incoming_edges(...) not yet implemented" ) def compatible_type(self, diagnostics=None, context=None): """The type of the value ValueSpecification must conform to the type of the ValuePin. value.type.conformsTo(type)""" raise NotImplementedError("operation compatible_type(...) not yet implemented") class ActorMixin(object): """User defined mixin class for Actor.""" def associations(self, diagnostics=None, context=None): """An Actor can only have Associations to UseCases, Components, and Classes. Furthermore these Associations must be binary. Association.allInstances()->forAll( a | a.memberEnd->collect(type)->includes(self) implies ( a.memberEnd->size() = 2 and let actorEnd : Property = a.memberEnd->any(type = self) in actorEnd.opposite.class.oclIsKindOf(UseCase) or ( actorEnd.opposite.class.oclIsKindOf(Class) and not actorEnd.opposite.class.oclIsKindOf(Behavior)) ) )""" raise NotImplementedError("operation associations(...) not yet implemented") def must_have_name(self, diagnostics=None, context=None): """An Actor must have a name. name->notEmpty()""" raise NotImplementedError("operation must_have_name(...) not yet implemented") class DeploymentSpecificationMixin(object): """User defined mixin class for DeploymentSpecification.""" def deployment_target(self, diagnostics=None, context=None): """The DeploymentTarget of a DeploymentSpecification is a kind of ExecutionEnvironment. deployment->forAll (location.oclIsKindOf(ExecutionEnvironment))""" raise NotImplementedError( "operation deployment_target(...) not yet implemented" ) def deployed_elements(self, diagnostics=None, context=None): """The deployedElements of a DeploymentTarget that are involved in a Deployment that has an associated Deployment-Specification is a kind of Component (i.e., the configured components). deployment->forAll (location.deployedElement->forAll (oclIsKindOf(Component)))""" raise NotImplementedError( "operation deployed_elements(...) not yet implemented" ) class PortMixin(object): """User defined mixin class for Port.""" def port_aggregation(self, diagnostics=None, context=None): """Port.aggregation must be composite. aggregation = AggregationKind::composite""" raise NotImplementedError("operation port_aggregation(...) not yet implemented") def default_value(self, diagnostics=None, context=None): """A defaultValue for port cannot be specified when the type of the Port is an Interface. type.oclIsKindOf(Interface) implies defaultValue->isEmpty()""" raise NotImplementedError("operation default_value(...) not yet implemented") def encapsulated_owner(self, diagnostics=None, context=None): """All Ports are owned by an EncapsulatedClassifier. owner = encapsulatedClassifier""" raise NotImplementedError( "operation encapsulated_owner(...) not yet implemented" ) def get_provideds(self): """Derivation for Port::/provided result = (if isConjugated then basicRequired() else basicProvided() endif) <p>From package UML::StructuredClassifiers.</p>""" raise NotImplementedError("operation get_provideds(...) not yet implemented") def get_requireds(self): """Derivation for Port::/required result = (if isConjugated then basicProvided() else basicRequired() endif) <p>From package UML::StructuredClassifiers.</p>""" raise NotImplementedError("operation get_requireds(...) not yet implemented") def basic_provided(self): """The union of the sets of Interfaces realized by the type of the Port and its supertypes, or directly the type of the Port if the Port is typed by an Interface. result = (if type.oclIsKindOf(Interface) then type.oclAsType(Interface)->asSet() else type.oclAsType(Classifier).allRealizedInterfaces() endif) <p>From package UML::StructuredClassifiers.</p>""" raise NotImplementedError("operation basic_provided(...) not yet implemented") def basic_required(self): """The union of the sets of Interfaces used by the type of the Port and its supertypes. result = ( type.oclAsType(Classifier).allUsedInterfaces() ) <p>From package UML::StructuredClassifiers.</p>""" raise NotImplementedError("operation basic_required(...) not yet implemented") class ExtensionMixin(object): """User defined mixin class for Extension.""" @property @property def non_owned_end(self, diagnostics=None, context=None): """The non-owned end of an Extension is typed by a Class. metaclassEnd()->notEmpty() and metaclassEnd().type.oclIsKindOf(Class)""" raise NotImplementedError("operation non_owned_end(...) not yet implemented") def is_binary(self, diagnostics=None, context=None): """An Extension is binary, i.e., it has only two memberEnds. memberEnd->size() = 2""" raise NotImplementedError("operation is_binary(...) not yet implemented") def get_stereotype(self): """Retrieves the stereotype that extends a metaclass through this extension.""" raise NotImplementedError("operation get_stereotype(...) not yet implemented") def get_stereotype_end(self): """Retrieves the extension end that is typed by a stereotype (as opposed to a metaclass).""" raise NotImplementedError( "operation get_stereotype_end(...) not yet implemented" ) def is_required(self): """The query isRequired() is true if the owned end has a multiplicity with the lower bound of 1. result = (ownedEnd.lowerBound() = 1) <p>From package UML::Packages.</p>""" raise NotImplementedError("operation is_required(...) not yet implemented") def get_metaclass(self): """The query metaclass() returns the metaclass that is being extended (as opposed to the extending stereotype). result = (metaclassEnd().type.oclAsType(Class)) <p>From package UML::Packages.</p>""" raise NotImplementedError("operation get_metaclass(...) not yet implemented") def metaclass_end(self): """The query metaclassEnd() returns the Property that is typed by a metaclass (as opposed to a stereotype). result = (memberEnd->reject(p | ownedEnd->includes(p.oclAsType(ExtensionEnd)))->any(true)) <p>From package UML::Packages.</p>""" raise NotImplementedError("operation metaclass_end(...) not yet implemented") class ExtensionEndMixin(object): """User defined mixin class for ExtensionEnd.""" def multiplicity(self, diagnostics=None, context=None): """The multiplicity of ExtensionEnd is 0..1 or 1. (lowerBound() = 0 or lowerBound() = 1) and upperBound() = 1""" raise NotImplementedError("operation multiplicity(...) not yet implemented") def aggregation(self, diagnostics=None, context=None): """The aggregation of an ExtensionEnd is composite. self.aggregation = AggregationKind::composite""" raise NotImplementedError("operation aggregation(...) not yet implemented") class CollaborationMixin(object): """User defined mixin class for Collaboration.""" class CommunicationPathMixin(object): """User defined mixin class for CommunicationPath.""" class ClassMixin(object): """User defined mixin class for Class.""" def passive_class(self, diagnostics=None, context=None): """Only an active Class may own Receptions and have a classifierBehavior. not isActive implies (ownedReception->isEmpty() and classifierBehavior = null)""" raise NotImplementedError("operation passive_class(...) not yet implemented") def create_owned_operation( self, name=None, parameterNames=None, parameterTypes=None, returnType=None ): """Creates an operation with the specified name, parameter names, parameter types, and return type (or null) as an owned operation of this class.""" raise NotImplementedError( "operation create_owned_operation(...) not yet implemented" ) def get_extensions(self): """Derivation for Class::/extension : Extension result = (Extension.allInstances()->select(ext | let endTypes : Sequence(Classifier) = ext.memberEnd->collect(type.oclAsType(Classifier)) in endTypes->includes(self) or endTypes.allParents()->includes(self) )) <p>From package UML::StructuredClassifiers.</p>""" raise NotImplementedError("operation get_extensions(...) not yet implemented") def get_super_classes(self): """Derivation for Class::/superClass : Class result = (self.general()->select(oclIsKindOf(Class))->collect(oclAsType(Class))->asSet()) <p>From package UML::StructuredClassifiers.</p>""" return self.superClass class BehaviorMixin(object): """User defined mixin class for Behavior.""" @property def most_one_behavior(self, diagnostics=None, context=None): """There may be at most one Behavior for a given pairing of BehavioredClassifier (as owner of the Behavior) and BehavioralFeature (as specification of the Behavior). specification <> null implies _'context'.ownedBehavior->select(specification=self.specification)->size() = 1""" raise NotImplementedError( "operation most_one_behavior(...) not yet implemented" ) def parameters_match(self, diagnostics=None, context=None): """If a Behavior has a specification BehavioralFeature, then it must have the same number of ownedParameters as its specification. The Behavior Parameters must also "match" the BehavioralParameter Parameters, but the exact requirements for this matching are not formalized. specification <> null implies ownedParameter->size() = specification.ownedParameter->size()""" raise NotImplementedError("operation parameters_match(...) not yet implemented") def feature_of_context_classifier(self, diagnostics=None, context=None): """The specification BehavioralFeature must be a feature (possibly inherited) of the context BehavioredClassifier of the Behavior. _'context'.feature->includes(specification)""" raise NotImplementedError( "operation feature_of_context_classifier(...) not yet implemented" ) def get_context(self): """A Behavior that is directly owned as a nestedClassifier does not have a context. Otherwise, to determine the context of a Behavior, find the first BehavioredClassifier reached by following the chain of owner relationships from the Behavior, if any. If there is such a BehavioredClassifier, then it is the context, unless it is itself a Behavior with a non-empty context, in which case that is also the context for the original Behavior. result = (if nestingClass <> null then null else let b:BehavioredClassifier = self.behavioredClassifier(self.owner) in if b.oclIsKindOf(Behavior) and b.oclAsType(Behavior)._'context' <> null then b.oclAsType(Behavior)._'context' else b endif endif ) <p>From package UML::CommonBehavior.</p>""" raise NotImplementedError("operation get_context(...) not yet implemented") def behaviored_classifier(self, from_=None): """The first BehavioredClassifier reached by following the chain of owner relationships from the Behavior, if any. if from.oclIsKindOf(BehavioredClassifier) then from.oclAsType(BehavioredClassifier) else if from.owner = null then null else self.behavioredClassifier(from.owner) endif endif <p>From package UML::CommonBehavior.</p>""" raise NotImplementedError( "operation behaviored_classifier(...) not yet implemented" ) def input_parameters(self): """The in and inout ownedParameters of the Behavior. result = (ownedParameter->select(direction=ParameterDirectionKind::_'in' or direction=ParameterDirectionKind::inout)) <p>From package UML::CommonBehavior.</p>""" raise NotImplementedError("operation input_parameters(...) not yet implemented") def output_parameters(self): """The out, inout and return ownedParameters. result = (ownedParameter->select(direction=ParameterDirectionKind::out or direction=ParameterDirectionKind::inout or direction=ParameterDirectionKind::return)) <p>From package UML::CommonBehavior.</p>""" raise NotImplementedError( "operation output_parameters(...) not yet implemented" ) class StereotypeMixin(object): """User defined mixin class for Stereotype.""" @property def binary_associations_only(self, diagnostics=None, context=None): """Stereotypes may only participate in binary associations. ownedAttribute.association->forAll(memberEnd->size()=2)""" raise NotImplementedError( "operation binary_associations_only(...) not yet implemented" ) def generalize(self, diagnostics=None, context=None): """A Stereotype may only generalize or specialize another Stereotype. allParents()->forAll(oclIsKindOf(Stereotype)) and Classifier.allInstances()->forAll(c | c.allParents()->exists(oclIsKindOf(Stereotype)) implies c.oclIsKindOf(Stereotype))""" raise NotImplementedError("operation generalize(...) not yet implemented") def name_not_clash(self, diagnostics=None, context=None): """Stereotype names should not clash with keyword names for the extended model element.""" raise NotImplementedError("operation name_not_clash(...) not yet implemented") def association_end_ownership(self, diagnostics=None, context=None): """Where a stereotype’s property is an association end for an association other than a kind of extension, and the other end is not a stereotype, the other end must be owned by the association itself. ownedAttribute ->select(association->notEmpty() and not association.oclIsKindOf(Extension) and not type.oclIsKindOf(Stereotype)) ->forAll(opposite.owner = association)""" raise NotImplementedError( "operation association_end_ownership(...) not yet implemented" ) def base_property_upper_bound(self, diagnostics=None, context=None): """The upper bound of base-properties is exactly 1.""" raise NotImplementedError( "operation base_property_upper_bound(...) not yet implemented" ) def base_property_multiplicity_single_extension( self, diagnostics=None, context=None ): """If a Stereotype extends only one metaclass, the multiplicity of the corresponding base-property shall be 1..1.""" raise NotImplementedError( "operation base_property_multiplicity_single_extension(...) not yet implemented" ) def base_property_multiplicity_multiple_extension( self, diagnostics=None, context=None ): """If a Stereotype extends more than one metaclass, the multiplicity of the corresponding base-properties shall be [0..1]. At any point in time, only one of these base-properties can contain a metaclass instance during runtime.""" raise NotImplementedError( "operation base_property_multiplicity_multiple_extension(...) not yet implemented" ) def create_extension(self, metaclass=None, isRequired=None): """Creates a(n) (required) extension of the specified metaclass with this stereotype.""" raise NotImplementedError("operation create_extension(...) not yet implemented") def create_icon(self, location=None): """Creates an icon with the specified location for this stereotype.""" raise NotImplementedError("operation create_icon(...) not yet implemented") def create_icon(self, format=None, content=None): """Creates an icon with the specified format and content for this stereotype.""" raise NotImplementedError("operation create_icon(...) not yet implemented") def get_all_extended_metaclasses(self): """Retrieves all the metaclasses extended by this stereotype, including the metaclasses extended by its superstereotypes.""" raise NotImplementedError( "operation get_all_extended_metaclasses(...) not yet implemented" ) def get_definition(self): """Retrieves the current definition (Ecore representation) of this stereotype.""" raise NotImplementedError("operation get_definition(...) not yet implemented") def get_extended_metaclasses(self): """Retrieves the metaclasses extended by this stereotype.""" raise NotImplementedError( "operation get_extended_metaclasses(...) not yet implemented" ) def get_keyword(self): """Retrieves the localized keyword for this stereotype.""" raise NotImplementedError("operation get_keyword(...) not yet implemented") def get_keyword(self, localize=None): """Retrieves the keyword for this stereotype, localized if indicated.""" raise NotImplementedError("operation get_keyword(...) not yet implemented") def containing_profile(self): """The query containingProfile returns the closest profile directly or indirectly containing this stereotype. result = (self.namespace.oclAsType(Package).containingProfile()) <p>From package UML::Packages.</p>""" raise NotImplementedError( "operation containing_profile(...) not yet implemented" ) def get_profile(self): """A stereotype must be contained, directly or indirectly, in a profile. result = (self.containingProfile()) <p>From package UML::Packages.</p>""" raise NotImplementedError("operation get_profile(...) not yet implemented") class ComponentMixin(object): """User defined mixin class for Component.""" def no_nested_classifiers(self, diagnostics=None, context=None): """A Component cannot nest Classifiers. nestedClassifier->isEmpty()""" raise NotImplementedError( "operation no_nested_classifiers(...) not yet implemented" ) def no_packaged_elements(self, diagnostics=None, context=None): """A Component nested in a Class cannot have any packaged elements. nestingClass <> null implies packagedElement->isEmpty()""" raise NotImplementedError( "operation no_packaged_elements(...) not yet implemented" ) def create_owned_class(self, name=None, isAbstract=None): """Creates a(n) (abstract) class with the specified name as a packaged element of this component.""" raise NotImplementedError( "operation create_owned_class(...) not yet implemented" ) def create_owned_enumeration(self, name=None): """Creates a enumeration with the specified name as a packaged element of this component.""" raise NotImplementedError( "operation create_owned_enumeration(...) not yet implemented" ) def create_owned_interface(self, name=None): """Creates an interface with the specified name as a packaged element of this component.""" raise NotImplementedError( "operation create_owned_interface(...) not yet implemented" ) def create_owned_primitive_type(self, name=None): """Creates a primitive type with the specified name as a packaged element of this component.""" raise NotImplementedError( "operation create_owned_primitive_type(...) not yet implemented" ) def get_provideds(self): """Derivation for Component::/provided result = (let ris : Set(Interface) = allRealizedInterfaces(), realizingClassifiers : Set(Classifier) = self.realization.realizingClassifier->union(self.allParents()->collect(realization.realizingClassifier))->asSet(), allRealizingClassifiers : Set(Classifier) = realizingClassifiers->union(realizingClassifiers.allParents())->asSet(), realizingClassifierInterfaces : Set(Interface) = allRealizingClassifiers->iterate(c; rci : Set(Interface) = Set{} | rci->union(c.allRealizedInterfaces())), ports : Set(Port) = self.ownedPort->union(allParents()->collect(ownedPort))->asSet(), providedByPorts : Set(Interface) = ports.provided->asSet() in ris->union(realizingClassifierInterfaces) ->union(providedByPorts)->asSet()) <p>From package UML::StructuredClassifiers.</p>""" raise NotImplementedError("operation get_provideds(...) not yet implemented") def get_requireds(self): """Derivation for Component::/required result = (let uis : Set(Interface) = allUsedInterfaces(), realizingClassifiers : Set(Classifier) = self.realization.realizingClassifier->union(self.allParents()->collect(realization.realizingClassifier))->asSet(), allRealizingClassifiers : Set(Classifier) = realizingClassifiers->union(realizingClassifiers.allParents())->asSet(), realizingClassifierInterfaces : Set(Interface) = allRealizingClassifiers->iterate(c; rci : Set(Interface) = Set{} | rci->union(c.allUsedInterfaces())), ports : Set(Port) = self.ownedPort->union(allParents()->collect(ownedPort))->asSet(), usedByPorts : Set(Interface) = ports.required->asSet() in uis->union(realizingClassifierInterfaces)->union(usedByPorts)->asSet() ) <p>From package UML::StructuredClassifiers.</p>""" raise NotImplementedError("operation get_requireds(...) not yet implemented") class ActivityMixin(object): """User defined mixin class for Activity.""" def maximum_one_parameter_node(self, diagnostics=None, context=None): """A Parameter with direction other than inout must have exactly one ActivityParameterNode in an Activity. ownedParameter->forAll(p | p.direction <> ParameterDirectionKind::inout implies node->select( oclIsKindOf(ActivityParameterNode) and oclAsType(ActivityParameterNode).parameter = p)->size()= 1)""" raise NotImplementedError( "operation maximum_one_parameter_node(...) not yet implemented" ) def maximum_two_parameter_nodes(self, diagnostics=None, context=None): """A Parameter with direction inout must have exactly two ActivityParameterNodes in an Activity, at most one with incoming ActivityEdges and at most one with outgoing ActivityEdges. ownedParameter->forAll(p | p.direction = ParameterDirectionKind::inout implies let associatedNodes : Set(ActivityNode) = node->select( oclIsKindOf(ActivityParameterNode) and oclAsType(ActivityParameterNode).parameter = p) in associatedNodes->size()=2 and associatedNodes->select(incoming->notEmpty())->size()<=1 and associatedNodes->select(outgoing->notEmpty())->size()<=1 )""" raise NotImplementedError( "operation maximum_two_parameter_nodes(...) not yet implemented" ) class StateMachineMixin(object): """User defined mixin class for StateMachine.""" def connection_points(self, diagnostics=None, context=None): """The connection points of a StateMachine are Pseudostates of kind entry point or exit point. connectionPoint->forAll (kind = PseudostateKind::entryPoint or kind = PseudostateKind::exitPoint)""" raise NotImplementedError( "operation connection_points(...) not yet implemented" ) def classifier_context(self, diagnostics=None, context=None): """The Classifier context of a StateMachine cannot be an Interface. _'context' <> null implies not _'context'.oclIsKindOf(Interface)""" raise NotImplementedError( "operation classifier_context(...) not yet implemented" ) def method(self, diagnostics=None, context=None): """A StateMachine as the method for a BehavioralFeature cannot have entry/exit connection points. specification <> null implies connectionPoint->isEmpty()""" raise NotImplementedError("operation method(...) not yet implemented") def context_classifier(self, diagnostics=None, context=None): """The context Classifier of the method StateMachine of a BehavioralFeature must be the Classifier that owns the BehavioralFeature. specification <> null implies ( _'context' <> null and specification.featuringClassifier->exists(c | c = _'context'))""" raise NotImplementedError( "operation context_classifier(...) not yet implemented" ) def lca(self, s1=None, s2=None): """The operation LCA(s1,s2) returns the Region that is the least common ancestor of Vertices s1 and s2, based on the StateMachine containment hierarchy. result = (if ancestor(s1, s2) then s2.container else if ancestor(s2, s1) then s1.container else LCA(s1.container.state, s2.container.state) endif endif) <p>From package UML::StateMachines.</p>""" raise NotImplementedError("operation lca(...) not yet implemented") def ancestor(self, s1=None, s2=None): """The query ancestor(s1, s2) checks whether Vertex s2 is an ancestor of Vertex s1. result = (if (s2 = s1) then true else if s1.container.stateMachine->notEmpty() then true else if s2.container.stateMachine->notEmpty() then false else ancestor(s1, s2.container.state) endif endif endif ) <p>From package UML::StateMachines.</p>""" raise NotImplementedError("operation ancestor(...) not yet implemented") def lca_state(self, v1=None, v2=None): """This utility funciton is like the LCA, except that it returns the nearest composite State that contains both input Vertices. result = (if v2.oclIsTypeOf(State) and ancestor(v1, v2) then v2.oclAsType(State) else if v1.oclIsTypeOf(State) and ancestor(v2, v1) then v1.oclAsType(State) else if (v1.container.state->isEmpty() or v2.container.state->isEmpty()) then null.oclAsType(State) else LCAState(v1.container.state, v2.container.state) endif endif endif) <p>From package UML::StateMachines.</p>""" raise NotImplementedError("operation lca_state(...) not yet implemented") class OpaqueBehaviorMixin(object): """User defined mixin class for OpaqueBehavior.""" class NodeMixin(object): """User defined mixin class for Node.""" def internal_structure(self, diagnostics=None, context=None): """The internal structure of a Node (if defined) consists solely of parts of type Node. part->forAll(oclIsKindOf(Node))""" raise NotImplementedError( "operation internal_structure(...) not yet implemented" ) def create_communication_path( self, end1IsNavigable=None, end1Aggregation=None, end1Name=None, end1Lower=None, end1Upper=None, end1Node=None, end2IsNavigable=None, end2Aggregation=None, end2Name=None, end2Lower=None, end2Upper=None, ): """Creates a (binary) communication path between this node and the specified other node, with the specified navigabilities, aggregations, names, lower bounds, and upper bounds, and owned by this node's nearest package.""" raise NotImplementedError( "operation create_communication_path(...) not yet implemented" ) def get_communication_paths(self): """Retrieves the communication paths in which this node is involved.""" raise NotImplementedError( "operation get_communication_paths(...) not yet implemented" ) class ProtocolStateMachineMixin(object): """User defined mixin class for ProtocolStateMachine.""" def deep_or_shallow_history(self, diagnostics=None, context=None): """ProtocolStateMachines cannot have deep or shallow history Pseudostates. region->forAll (r | r.subvertex->forAll (v | v.oclIsKindOf(Pseudostate) implies ((v.oclAsType(Pseudostate).kind <> PseudostateKind::deepHistory) and (v.oclAsType(Pseudostate).kind <> PseudostateKind::shallowHistory))))""" raise NotImplementedError( "operation deep_or_shallow_history(...) not yet implemented" ) def entry_exit_do(self, diagnostics=None, context=None): """The states of a ProtocolStateMachine cannot have entry, exit, or do activity Behaviors. region->forAll(r | r.subvertex->forAll(v | v.oclIsKindOf(State) implies (v.oclAsType(State).entry->isEmpty() and v.oclAsType(State).exit->isEmpty() and v.oclAsType(State).doActivity->isEmpty())))""" raise NotImplementedError("operation entry_exit_do(...) not yet implemented") def protocol_transitions(self, diagnostics=None, context=None): """All Transitions of a ProtocolStateMachine must be ProtocolTransitions. region->forAll(r | r.transition->forAll(t | t.oclIsTypeOf(ProtocolTransition)))""" raise NotImplementedError( "operation protocol_transitions(...) not yet implemented" ) class FunctionBehaviorMixin(object): """User defined mixin class for FunctionBehavior.""" def one_output_parameter(self, diagnostics=None, context=None): """A FunctionBehavior has at least one output Parameter. self.ownedParameter-> select(p | p.direction = ParameterDirectionKind::out or p.direction= ParameterDirectionKind::inout or p.direction= ParameterDirectionKind::return)->size() >= 1""" raise NotImplementedError( "operation one_output_parameter(...) not yet implemented" ) def types_of_parameters(self, diagnostics=None, context=None): """The types of the ownedParameters are all DataTypes, which may not nest anything but other DataTypes. ownedParameter->forAll(p | p.type <> null and p.type.oclIsTypeOf(DataType) and hasAllDataTypeAttributes(p.type.oclAsType(DataType)))""" raise NotImplementedError( "operation types_of_parameters(...) not yet implemented" ) def has_all_data_type_attributes(self, d=None): """The hasAllDataTypeAttributes query tests whether the types of the attributes of the given DataType are all DataTypes, and similarly for all those DataTypes. result = (d.ownedAttribute->forAll(a | a.type.oclIsKindOf(DataType) and hasAllDataTypeAttributes(a.type.oclAsType(DataType)))) <p>From package UML::CommonBehavior.</p>""" raise NotImplementedError( "operation has_all_data_type_attributes(...) not yet implemented" ) class DeviceMixin(object): """User defined mixin class for Device.""" class ExecutionEnvironmentMixin(object): """User defined mixin class for ExecutionEnvironment.""" class InteractionMixin(object): """User defined mixin class for Interaction.""" def not_contained(self, diagnostics=None, context=None): """An Interaction instance must not be contained within another Interaction instance. enclosingInteraction->isEmpty()""" raise NotImplementedError("operation not_contained(...) not yet implemented") class AssociationClassMixin(object): """User defined mixin class for AssociationClass.""" def cannot_be_defined(self, diagnostics=None, context=None): """An AssociationClass cannot be defined between itself and something else. self.endType()->excludes(self) and self.endType()->collect(et|et.oclAsType(Classifier).allParents())->flatten()->excludes(self)""" raise NotImplementedError( "operation cannot_be_defined(...) not yet implemented" ) def disjoint_attributes_ends(self, diagnostics=None, context=None): """The owned attributes and owned ends of an AssociationClass are disjoint. ownedAttribute->intersection(ownedEnd)->isEmpty()""" raise NotImplementedError( "operation disjoint_attributes_ends(...) not yet implemented" )
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3.023129
104,762
__all__ = ["Nation", "Region", "Telegrams", "WorldAssembly", "World", "TradingCards", "APICall"]
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2.852941
34
# -*- coding: utf-8 -*- # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import proto # type: ignore from google.ads.googleads.v6.common.types import bidding from google.ads.googleads.v6.common.types import custom_parameter from google.ads.googleads.v6.common.types import frequency_cap from google.ads.googleads.v6.common.types import ( real_time_bidding_setting as gagc_real_time_bidding_setting, ) from google.ads.googleads.v6.common.types import ( targeting_setting as gagc_targeting_setting, ) from google.ads.googleads.v6.enums.types import ( ad_serving_optimization_status as gage_ad_serving_optimization_status, ) from google.ads.googleads.v6.enums.types import ( advertising_channel_sub_type as gage_advertising_channel_sub_type, ) from google.ads.googleads.v6.enums.types import ( advertising_channel_type as gage_advertising_channel_type, ) from google.ads.googleads.v6.enums.types import app_campaign_app_store from google.ads.googleads.v6.enums.types import ( app_campaign_bidding_strategy_goal_type, ) from google.ads.googleads.v6.enums.types import ( bidding_strategy_type as gage_bidding_strategy_type, ) from google.ads.googleads.v6.enums.types import brand_safety_suitability from google.ads.googleads.v6.enums.types import campaign_experiment_type from google.ads.googleads.v6.enums.types import campaign_serving_status from google.ads.googleads.v6.enums.types import campaign_status from google.ads.googleads.v6.enums.types import ( location_source_type as gage_location_source_type, ) from google.ads.googleads.v6.enums.types import ( negative_geo_target_type as gage_negative_geo_target_type, ) from google.ads.googleads.v6.enums.types import optimization_goal_type from google.ads.googleads.v6.enums.types import ( payment_mode as gage_payment_mode, ) from google.ads.googleads.v6.enums.types import ( positive_geo_target_type as gage_positive_geo_target_type, ) from google.ads.googleads.v6.enums.types import ( vanity_pharma_display_url_mode as gage_vanity_pharma_display_url_mode, ) from google.ads.googleads.v6.enums.types import ( vanity_pharma_text as gage_vanity_pharma_text, ) __protobuf__ = proto.module( package="google.ads.googleads.v6.resources", marshal="google.ads.googleads.v6", manifest={"Campaign",}, ) class Campaign(proto.Message): r"""A campaign. Attributes: resource_name (str): Immutable. The resource name of the campaign. Campaign resource names have the form: ``customers/{customer_id}/campaigns/{campaign_id}`` id (int): Output only. The ID of the campaign. name (str): The name of the campaign. This field is required and should not be empty when creating new campaigns. It must not contain any null (code point 0x0), NL line feed (code point 0xA) or carriage return (code point 0xD) characters. status (google.ads.googleads.v6.enums.types.CampaignStatusEnum.CampaignStatus): The status of the campaign. When a new campaign is added, the status defaults to ENABLED. serving_status (google.ads.googleads.v6.enums.types.CampaignServingStatusEnum.CampaignServingStatus): Output only. The ad serving status of the campaign. ad_serving_optimization_status (google.ads.googleads.v6.enums.types.AdServingOptimizationStatusEnum.AdServingOptimizationStatus): The ad serving optimization status of the campaign. advertising_channel_type (google.ads.googleads.v6.enums.types.AdvertisingChannelTypeEnum.AdvertisingChannelType): Immutable. The primary serving target for ads within the campaign. The targeting options can be refined in ``network_settings``. This field is required and should not be empty when creating new campaigns. Can be set only when creating campaigns. After the campaign is created, the field can not be changed. advertising_channel_sub_type (google.ads.googleads.v6.enums.types.AdvertisingChannelSubTypeEnum.AdvertisingChannelSubType): Immutable. Optional refinement to ``advertising_channel_type``. Must be a valid sub-type of the parent channel type. Can be set only when creating campaigns. After campaign is created, the field can not be changed. tracking_url_template (str): The URL template for constructing a tracking URL. url_custom_parameters (Sequence[google.ads.googleads.v6.common.types.CustomParameter]): The list of mappings used to substitute custom parameter tags in a ``tracking_url_template``, ``final_urls``, or ``mobile_final_urls``. real_time_bidding_setting (google.ads.googleads.v6.common.types.RealTimeBiddingSetting): Settings for Real-Time Bidding, a feature only available for campaigns targeting the Ad Exchange network. network_settings (google.ads.googleads.v6.resources.types.Campaign.NetworkSettings): The network settings for the campaign. hotel_setting (google.ads.googleads.v6.resources.types.Campaign.HotelSettingInfo): Immutable. The hotel setting for the campaign. dynamic_search_ads_setting (google.ads.googleads.v6.resources.types.Campaign.DynamicSearchAdsSetting): The setting for controlling Dynamic Search Ads (DSA). shopping_setting (google.ads.googleads.v6.resources.types.Campaign.ShoppingSetting): The setting for controlling Shopping campaigns. targeting_setting (google.ads.googleads.v6.common.types.TargetingSetting): Setting for targeting related features. geo_target_type_setting (google.ads.googleads.v6.resources.types.Campaign.GeoTargetTypeSetting): The setting for ads geotargeting. local_campaign_setting (google.ads.googleads.v6.resources.types.Campaign.LocalCampaignSetting): The setting for local campaign. app_campaign_setting (google.ads.googleads.v6.resources.types.Campaign.AppCampaignSetting): The setting related to App Campaign. labels (Sequence[str]): Output only. The resource names of labels attached to this campaign. experiment_type (google.ads.googleads.v6.enums.types.CampaignExperimentTypeEnum.CampaignExperimentType): Output only. The type of campaign: normal, draft, or experiment. base_campaign (str): Output only. The resource name of the base campaign of a draft or experiment campaign. For base campaigns, this is equal to ``resource_name``. This field is read-only. campaign_budget (str): The budget of the campaign. bidding_strategy_type (google.ads.googleads.v6.enums.types.BiddingStrategyTypeEnum.BiddingStrategyType): Output only. The type of bidding strategy. A bidding strategy can be created by setting either the bidding scheme to create a standard bidding strategy or the ``bidding_strategy`` field to create a portfolio bidding strategy. This field is read-only. start_date (str): The date when campaign started. end_date (str): The last day of the campaign. final_url_suffix (str): Suffix used to append query parameters to landing pages that are served with parallel tracking. frequency_caps (Sequence[google.ads.googleads.v6.common.types.FrequencyCapEntry]): A list that limits how often each user will see this campaign's ads. video_brand_safety_suitability (google.ads.googleads.v6.enums.types.BrandSafetySuitabilityEnum.BrandSafetySuitability): Output only. 3-Tier Brand Safety setting for the campaign. vanity_pharma (google.ads.googleads.v6.resources.types.Campaign.VanityPharma): Describes how unbranded pharma ads will be displayed. selective_optimization (google.ads.googleads.v6.resources.types.Campaign.SelectiveOptimization): Selective optimization setting for this campaign, which includes a set of conversion actions to optimize this campaign towards. optimization_goal_setting (google.ads.googleads.v6.resources.types.Campaign.OptimizationGoalSetting): Optimization goal setting for this campaign, which includes a set of optimization goal types. tracking_setting (google.ads.googleads.v6.resources.types.Campaign.TrackingSetting): Output only. Campaign-level settings for tracking information. payment_mode (google.ads.googleads.v6.enums.types.PaymentModeEnum.PaymentMode): Payment mode for the campaign. optimization_score (float): Output only. Optimization score of the campaign. Optimization score is an estimate of how well a campaign is set to perform. It ranges from 0% (0.0) to 100% (1.0), with 100% indicating that the campaign is performing at full potential. This field is null for unscored campaigns. See "About optimization score" at https://support.google.com/google- ads/answer/9061546. This field is read-only. bidding_strategy (str): Portfolio bidding strategy used by campaign. commission (google.ads.googleads.v6.common.types.Commission): Commission is an automatic bidding strategy in which the advertiser pays a certain portion of the conversion value. manual_cpc (google.ads.googleads.v6.common.types.ManualCpc): Standard Manual CPC bidding strategy. Manual click-based bidding where user pays per click. manual_cpm (google.ads.googleads.v6.common.types.ManualCpm): Standard Manual CPM bidding strategy. Manual impression-based bidding where user pays per thousand impressions. manual_cpv (google.ads.googleads.v6.common.types.ManualCpv): Output only. A bidding strategy that pays a configurable amount per video view. maximize_conversions (google.ads.googleads.v6.common.types.MaximizeConversions): Standard Maximize Conversions bidding strategy that automatically maximizes number of conversions while spending your budget. maximize_conversion_value (google.ads.googleads.v6.common.types.MaximizeConversionValue): Standard Maximize Conversion Value bidding strategy that automatically sets bids to maximize revenue while spending your budget. target_cpa (google.ads.googleads.v6.common.types.TargetCpa): Standard Target CPA bidding strategy that automatically sets bids to help get as many conversions as possible at the target cost-per- acquisition (CPA) you set. target_impression_share (google.ads.googleads.v6.common.types.TargetImpressionShare): Target Impression Share bidding strategy. An automated bidding strategy that sets bids to achieve a desired percentage of impressions. target_roas (google.ads.googleads.v6.common.types.TargetRoas): Standard Target ROAS bidding strategy that automatically maximizes revenue while averaging a specific target return on ad spend (ROAS). target_spend (google.ads.googleads.v6.common.types.TargetSpend): Standard Target Spend bidding strategy that automatically sets your bids to help get as many clicks as possible within your budget. percent_cpc (google.ads.googleads.v6.common.types.PercentCpc): Standard Percent Cpc bidding strategy where bids are a fraction of the advertised price for some good or service. target_cpm (google.ads.googleads.v6.common.types.TargetCpm): A bidding strategy that automatically optimizes cost per thousand impressions. """ class NetworkSettings(proto.Message): r"""The network settings for the campaign. Attributes: target_google_search (bool): Whether ads will be served with google.com search results. target_search_network (bool): Whether ads will be served on partner sites in the Google Search Network (requires ``target_google_search`` to also be ``true``). target_content_network (bool): Whether ads will be served on specified placements in the Google Display Network. Placements are specified using the Placement criterion. target_partner_search_network (bool): Whether ads will be served on the Google Partner Network. This is available only to some select Google partner accounts. """ target_google_search = proto.Field(proto.BOOL, number=5, optional=True) target_search_network = proto.Field(proto.BOOL, number=6, optional=True) target_content_network = proto.Field( proto.BOOL, number=7, optional=True ) target_partner_search_network = proto.Field( proto.BOOL, number=8, optional=True ) class HotelSettingInfo(proto.Message): r"""Campaign-level settings for hotel ads. Attributes: hotel_center_id (int): Immutable. The linked Hotel Center account. """ hotel_center_id = proto.Field(proto.INT64, number=2, optional=True) class VanityPharma(proto.Message): r"""Describes how unbranded pharma ads will be displayed. Attributes: vanity_pharma_display_url_mode (google.ads.googleads.v6.enums.types.VanityPharmaDisplayUrlModeEnum.VanityPharmaDisplayUrlMode): The display mode for vanity pharma URLs. vanity_pharma_text (google.ads.googleads.v6.enums.types.VanityPharmaTextEnum.VanityPharmaText): The text that will be displayed in display URL of the text ad when website description is the selected display mode for vanity pharma URLs. """ vanity_pharma_display_url_mode = proto.Field( proto.ENUM, number=1, enum=gage_vanity_pharma_display_url_mode.VanityPharmaDisplayUrlModeEnum.VanityPharmaDisplayUrlMode, ) vanity_pharma_text = proto.Field( proto.ENUM, number=2, enum=gage_vanity_pharma_text.VanityPharmaTextEnum.VanityPharmaText, ) class DynamicSearchAdsSetting(proto.Message): r"""The setting for controlling Dynamic Search Ads (DSA). Attributes: domain_name (str): Required. The Internet domain name that this setting represents, e.g., "google.com" or "www.google.com". language_code (str): Required. The language code specifying the language of the domain, e.g., "en". use_supplied_urls_only (bool): Whether the campaign uses advertiser supplied URLs exclusively. feeds (Sequence[str]): The list of page feeds associated with the campaign. """ domain_name = proto.Field(proto.STRING, number=6) language_code = proto.Field(proto.STRING, number=7) use_supplied_urls_only = proto.Field( proto.BOOL, number=8, optional=True ) feeds = proto.RepeatedField(proto.STRING, number=9) class SelectiveOptimization(proto.Message): r"""Selective optimization setting for this campaign, which includes a set of conversion actions to optimize this campaign towards. Attributes: conversion_actions (Sequence[str]): The selected set of conversion actions for optimizing this campaign. """ conversion_actions = proto.RepeatedField(proto.STRING, number=2) class AppCampaignSetting(proto.Message): r"""Campaign-level settings for App Campaigns. Attributes: bidding_strategy_goal_type (google.ads.googleads.v6.enums.types.AppCampaignBiddingStrategyGoalTypeEnum.AppCampaignBiddingStrategyGoalType): Represents the goal which the bidding strategy of this app campaign should optimize towards. app_id (str): Immutable. A string that uniquely identifies a mobile application. app_store (google.ads.googleads.v6.enums.types.AppCampaignAppStoreEnum.AppCampaignAppStore): Immutable. The application store that distributes this specific app. """ bidding_strategy_goal_type = proto.Field( proto.ENUM, number=1, enum=app_campaign_bidding_strategy_goal_type.AppCampaignBiddingStrategyGoalTypeEnum.AppCampaignBiddingStrategyGoalType, ) app_id = proto.Field(proto.STRING, number=4, optional=True) app_store = proto.Field( proto.ENUM, number=3, enum=app_campaign_app_store.AppCampaignAppStoreEnum.AppCampaignAppStore, ) class ShoppingSetting(proto.Message): r"""The setting for Shopping campaigns. Defines the universe of products that can be advertised by the campaign, and how this campaign interacts with other Shopping campaigns. Attributes: merchant_id (int): Immutable. ID of the Merchant Center account. This field is required for create operations. This field is immutable for Shopping campaigns. sales_country (str): Immutable. Sales country of products to include in the campaign. This field is required for Shopping campaigns. This field is immutable. This field is optional for non-Shopping campaigns, but it must be equal to 'ZZ' if set. campaign_priority (int): Priority of the campaign. Campaigns with numerically higher priorities take precedence over those with lower priorities. This field is required for Shopping campaigns, with values between 0 and 2, inclusive. This field is optional for Smart Shopping campaigns, but must be equal to 3 if set. enable_local (bool): Whether to include local products. """ merchant_id = proto.Field(proto.INT64, number=5, optional=True) sales_country = proto.Field(proto.STRING, number=6, optional=True) campaign_priority = proto.Field(proto.INT32, number=7, optional=True) enable_local = proto.Field(proto.BOOL, number=8, optional=True) class TrackingSetting(proto.Message): r"""Campaign-level settings for tracking information. Attributes: tracking_url (str): Output only. The url used for dynamic tracking. """ tracking_url = proto.Field(proto.STRING, number=2, optional=True) class GeoTargetTypeSetting(proto.Message): r"""Represents a collection of settings related to ads geotargeting. Attributes: positive_geo_target_type (google.ads.googleads.v6.enums.types.PositiveGeoTargetTypeEnum.PositiveGeoTargetType): The setting used for positive geotargeting in this particular campaign. negative_geo_target_type (google.ads.googleads.v6.enums.types.NegativeGeoTargetTypeEnum.NegativeGeoTargetType): The setting used for negative geotargeting in this particular campaign. """ positive_geo_target_type = proto.Field( proto.ENUM, number=1, enum=gage_positive_geo_target_type.PositiveGeoTargetTypeEnum.PositiveGeoTargetType, ) negative_geo_target_type = proto.Field( proto.ENUM, number=2, enum=gage_negative_geo_target_type.NegativeGeoTargetTypeEnum.NegativeGeoTargetType, ) class LocalCampaignSetting(proto.Message): r"""Campaign setting for local campaigns. Attributes: location_source_type (google.ads.googleads.v6.enums.types.LocationSourceTypeEnum.LocationSourceType): The location source type for this local campaign. """ location_source_type = proto.Field( proto.ENUM, number=1, enum=gage_location_source_type.LocationSourceTypeEnum.LocationSourceType, ) class OptimizationGoalSetting(proto.Message): r"""Optimization goal setting for this campaign, which includes a set of optimization goal types. Attributes: optimization_goal_types (Sequence[google.ads.googleads.v6.enums.types.OptimizationGoalTypeEnum.OptimizationGoalType]): The list of optimization goal types. """ optimization_goal_types = proto.RepeatedField( proto.ENUM, number=1, enum=optimization_goal_type.OptimizationGoalTypeEnum.OptimizationGoalType, ) resource_name = proto.Field(proto.STRING, number=1) id = proto.Field(proto.INT64, number=59, optional=True) name = proto.Field(proto.STRING, number=58, optional=True) status = proto.Field( proto.ENUM, number=5, enum=campaign_status.CampaignStatusEnum.CampaignStatus, ) serving_status = proto.Field( proto.ENUM, number=21, enum=campaign_serving_status.CampaignServingStatusEnum.CampaignServingStatus, ) ad_serving_optimization_status = proto.Field( proto.ENUM, number=8, enum=gage_ad_serving_optimization_status.AdServingOptimizationStatusEnum.AdServingOptimizationStatus, ) advertising_channel_type = proto.Field( proto.ENUM, number=9, enum=gage_advertising_channel_type.AdvertisingChannelTypeEnum.AdvertisingChannelType, ) advertising_channel_sub_type = proto.Field( proto.ENUM, number=10, enum=gage_advertising_channel_sub_type.AdvertisingChannelSubTypeEnum.AdvertisingChannelSubType, ) tracking_url_template = proto.Field(proto.STRING, number=60, optional=True) url_custom_parameters = proto.RepeatedField( proto.MESSAGE, number=12, message=custom_parameter.CustomParameter, ) real_time_bidding_setting = proto.Field( proto.MESSAGE, number=39, message=gagc_real_time_bidding_setting.RealTimeBiddingSetting, ) network_settings = proto.Field( proto.MESSAGE, number=14, message=NetworkSettings, ) hotel_setting = proto.Field( proto.MESSAGE, number=32, message=HotelSettingInfo, ) dynamic_search_ads_setting = proto.Field( proto.MESSAGE, number=33, message=DynamicSearchAdsSetting, ) shopping_setting = proto.Field( proto.MESSAGE, number=36, message=ShoppingSetting, ) targeting_setting = proto.Field( proto.MESSAGE, number=43, message=gagc_targeting_setting.TargetingSetting, ) geo_target_type_setting = proto.Field( proto.MESSAGE, number=47, message=GeoTargetTypeSetting, ) local_campaign_setting = proto.Field( proto.MESSAGE, number=50, message=LocalCampaignSetting, ) app_campaign_setting = proto.Field( proto.MESSAGE, number=51, message=AppCampaignSetting, ) labels = proto.RepeatedField(proto.STRING, number=61) experiment_type = proto.Field( proto.ENUM, number=17, enum=campaign_experiment_type.CampaignExperimentTypeEnum.CampaignExperimentType, ) base_campaign = proto.Field(proto.STRING, number=56, optional=True) campaign_budget = proto.Field(proto.STRING, number=62, optional=True) bidding_strategy_type = proto.Field( proto.ENUM, number=22, enum=gage_bidding_strategy_type.BiddingStrategyTypeEnum.BiddingStrategyType, ) start_date = proto.Field(proto.STRING, number=63, optional=True) end_date = proto.Field(proto.STRING, number=64, optional=True) final_url_suffix = proto.Field(proto.STRING, number=65, optional=True) frequency_caps = proto.RepeatedField( proto.MESSAGE, number=40, message=frequency_cap.FrequencyCapEntry, ) video_brand_safety_suitability = proto.Field( proto.ENUM, number=42, enum=brand_safety_suitability.BrandSafetySuitabilityEnum.BrandSafetySuitability, ) vanity_pharma = proto.Field(proto.MESSAGE, number=44, message=VanityPharma,) selective_optimization = proto.Field( proto.MESSAGE, number=45, message=SelectiveOptimization, ) optimization_goal_setting = proto.Field( proto.MESSAGE, number=54, message=OptimizationGoalSetting, ) tracking_setting = proto.Field( proto.MESSAGE, number=46, message=TrackingSetting, ) payment_mode = proto.Field( proto.ENUM, number=52, enum=gage_payment_mode.PaymentModeEnum.PaymentMode, ) optimization_score = proto.Field(proto.DOUBLE, number=66, optional=True) bidding_strategy = proto.Field( proto.STRING, number=67, oneof="campaign_bidding_strategy" ) commission = proto.Field( proto.MESSAGE, number=49, oneof="campaign_bidding_strategy", message=bidding.Commission, ) manual_cpc = proto.Field( proto.MESSAGE, number=24, oneof="campaign_bidding_strategy", message=bidding.ManualCpc, ) manual_cpm = proto.Field( proto.MESSAGE, number=25, oneof="campaign_bidding_strategy", message=bidding.ManualCpm, ) manual_cpv = proto.Field( proto.MESSAGE, number=37, oneof="campaign_bidding_strategy", message=bidding.ManualCpv, ) maximize_conversions = proto.Field( proto.MESSAGE, number=30, oneof="campaign_bidding_strategy", message=bidding.MaximizeConversions, ) maximize_conversion_value = proto.Field( proto.MESSAGE, number=31, oneof="campaign_bidding_strategy", message=bidding.MaximizeConversionValue, ) target_cpa = proto.Field( proto.MESSAGE, number=26, oneof="campaign_bidding_strategy", message=bidding.TargetCpa, ) target_impression_share = proto.Field( proto.MESSAGE, number=48, oneof="campaign_bidding_strategy", message=bidding.TargetImpressionShare, ) target_roas = proto.Field( proto.MESSAGE, number=29, oneof="campaign_bidding_strategy", message=bidding.TargetRoas, ) target_spend = proto.Field( proto.MESSAGE, number=27, oneof="campaign_bidding_strategy", message=bidding.TargetSpend, ) percent_cpc = proto.Field( proto.MESSAGE, number=34, oneof="campaign_bidding_strategy", message=bidding.PercentCpc, ) target_cpm = proto.Field( proto.MESSAGE, number=41, oneof="campaign_bidding_strategy", message=bidding.TargetCpm, ) __all__ = tuple(sorted(__protobuf__.manifest))
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from rest_framework import generics, permissions from TvFY.account.serializers import AccountSerializer, CreateAccountSerializer
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#!/usr/bin/python3 import chainer import numpy as np import onnx_chainer import large_models if __name__ == '__main__': main()
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import setuptools with open("README.md", "r") as fh: long_description = fh.read() INSTALL_REQUIRES = ['neo4j-driver>=4.1.1', 'tqdm==4.48.2'] setuptools.setup( name="pedgraph", version="0.0.1", author="Ólavur Mortensen", author_email="[email protected]", description="PedGraph -- Multidimensional network database for pedigree analysis", long_description=long_description, long_description_content_type="text/markdown", url="https://github.com/olavurmortensen/pedgraph", packages=setuptools.find_packages(), install_requires=INSTALL_REQUIRES, python_requires='>=3.6', )
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""" Q380 Insert Delete GetRandom O(1) Medium Array; Hash Table; Design. Design a data structure that supports all following operations in average O(1) time. 1. insert(val): Inserts an item val to the set if not already present. 2. remove(val): Removes an item val from the set if present. 3. getRandom: Returns a random element from current set of elements. Each element must have the same probability of being returned. Your RandomizedSet object will be instantiated and called as such: obj = RandomizedSet() param_1 = obj.insert(val) param_2 = obj.remove(val) param_3 = obj.getRandom() """ import random randomSet = RandomizedSet() print(randomSet.insert(1)) print(randomSet.insert(1)) print(randomSet.remove(2)) print(randomSet.insert(2)) print(randomSet.getRandom()) print(randomSet.getRandom())
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#!/usr/bin/python #coding = utf-8 from RiskQuantLib.Security.base import base from RiskQuantLib.Set.Security.Stock.stock import setStock class stock(base,setStock): """ stock is one of the five basic classes. """
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import tropo_mods.auto_sns as auto_sns from troposphere import Template test_sns_yaml = """\ Resources: SNSTopic1: Properties: TopicName: my_new_topic Type: AWS::SNS::Topic """ t = Template() topic = auto_sns.AutoSNS(t, topic_name="my_new_topic", email="[email protected]") assert test_sns_yaml == topic.print_to_yaml()
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#!/usr/bin/python #Author: Jared Adolf-Bryfogle import sys from collections import defaultdict from jade2.basic.path import * from jade2.basic.threading.Threader import Threader from jade2.basic.structure import Structure from jade2.basic.path import * #from jade2.antibody import util as ab_util class PyMolScriptWriter: """ Class to help build PyMol scripts using arbitrary lists of PDBs. Example for loading all top models into PyMol, aligning them to the native, and labeling them: scripter = PyMolScriptWriter(outpath) if native_path: scripter.add_load_pdb(native_path, "native_"+os.path.basename(native_path)) scripter.add_load_pdbs(pdb_path_list, load_as_list) scripter.add_align_all_to(scripter.get_final_names()[0]) scripter.add_show("cartoon") scripter.add_line("center") scripter.add_save_session(pse_path) scripter.write_script("load_align_top.pml") run_pymol_script(top_dir+"/"+"load_align_top.pml") """ def _read_colors(self, path): """ Reads PyMOl colors text file. Loads colors. """ INFILE = open(path, 'r') color_type = "" for line in INFILE: line = line.strip() if not line: continue if line.startswith("#"): continue lineSP = line.split() if lineSP[0] == "TYPE": color_type = lineSP[1].lower() self.color_types[color_type] = [] continue self.colors.append(lineSP[0]) self.color_types[color_type].append(lineSP[0]) INFILE.close() print("Done reading PyMol color types") #################################################################################################### ## Helpful Functions ################################################################################################### def get_final_names(self): """ Get the final names PyMOL will use after loading PDBs. """ return self.final_names def get_sele(self, chain, resid_array): """ Get a a selection from an array of residue IDs and a particular chain. If the residue Id is a two-element tupple, then add a selection between the first and last element """ if len(resid_array) == 1: sele = "chain "+chain+" & "+get_entry(resid_array[0]) else: sele = "chain "+chain+" & ( "+get_entry(resid_array[0]) for resi in resid_array[1:]: sele = sele +" | "+get_entry(resi) sele = sele+" )" return sele #################################################################################################### ## Build PyMol Script: ################################################################################################### def add_line(self, line): """ Add an arbitrary line to the script """ self.script_lines.append(line) def add_save_session(self, session_path): """ Add a line to save the session to a FULL path """ if not re.search(".pse", session_path): session_path = session_path+".pse" self.script_lines.append("cmd.save('"+session_path+"')") #################################################################################################### ## Load PDBs and Groups: ################################################################################################### def add_load_pdb(self, pdb_path, load_as = None, group = None): """ Add line to load a PDB Path into PyMol Optionally load them as a particular name Will then set the final names PyMol uses to the object. """ #print "PDB"+repr(pdb_path) self.pdbs.append(pdb_path) name = os.path.basename(pdb_path) name = "".join(name.split(".")[0:-1]) basenameSP = name.split('.') if re.search(".pdb.gz", name): basename = "".join(basenameSP[:len(basenameSP)-2]) else: basename = "".join(basenameSP[:len(basenameSP)-1]) if not load_as: self.final_names.append(name) self.script_lines.append("load "+pdb_path) else: self.final_names.append(load_as) self.script_lines.append("load "+pdb_path+", "+load_as) if group: self.add_group_object(self.final_names[-1], group) def add_load_pdbs(self, pdb_paths, load_as = None, group = None): """ Add lines to load the list of PDB paths into PyMol Optionally load them as a particular name Will then set the final names PyMol uses to the object. """ i = 0 for path in pdb_paths: print(path) if load_as: self.add_load_pdb(path, load_as = load_as[i], group = group) else: self.add_load_pdb(path, group = group) i+=1 def add_group_object(self, name, new_group_name): """ Group a single object to another. Useful for meta-groups. """ self.script_lines.append("group "+new_group_name+", "+name) def add_group_objects(self, names, new_group_name): """ Group a set of pre-loaded names to the new group. """ names_str = " ".join(names) self.script_lines.append("group "+new_group_name+", "+names_str) #################################################################################################### ## Alignment : ################################################################################################### def add_superimpose(self, sele1, sele2): """ Super impose two selections using the super command """ self.add_line("super "+sele1+", "+sele2) def add_align_all(self, sele1 = "", sele2="", limit_to_bb=True, pair_fit = False): """ Align all to the first model """ for name in self.final_names[1:]: self.add_align_to(name, self.final_names[0], sele1, sele2, limit_to_bb, pair_fit) def add_align_all_to(self, model, sele1 = "", sele2="", limit_to_bb=True, pair_fit = False): """ Align all to a particular model """ for name in self.final_names: if name !=model: self.add_align_to(name, model, sele1, sele2, limit_to_bb) def add_align_to(self, model1, model2, sele1="", sele2 = "", limit_to_bb = True, pair_fit = False): """ Align one model to another, optionally specifying a selection. Recommended to use superimpose instead """ m1 = get_decoy_name(model1) m2 = get_decoy_name(model2) align = "align " if pair_fit: align = "pair_fit " bb = "" if limit_to_bb: bb = " & name n+ca+c+o " if not sele1: self.script_lines.append(align + m1 + bb+","+m2 + bb) else: self.script_lines.append(align + m1+" & "+sele1+bb+", "+m2 +" &"+sele2+ bb) #################################################################################################### ## Misc. : ################################################################################################### def add_show(self, vis_type, sele=""): """ Show a representation. Optionally with a particular selection """ if not vis_type in self.vis_options: print(("Type "+vis_type+" not a known vis_option. Options are: \n"+repr(self.vis_options))) if not sele: self.script_lines.append("show "+vis_type) else: self.script_lines.append("show "+vis_type+", "+sele) def add_hide(self, vis_type, sele=""): """ Hide a representation. Optionally with a particular selection. """ if not type in self.vis_options: print(("Type "+vis_type+" not a known vis_option. Options are: \n"+repr(self.vis_options))) if not sele: self.script_lines.append("hide "+vis_type) else: self.script_lines.append("hide "+vis_type+", "+sele) def add_color(self, sele, color): """ Add color to a selection. sele: PyMol Selection color: Particular color. See Also self.colors """ if not color in self.colors: sys.exit("Color not understood by PyMol: "+color+" See simple_pymol_colors for list of acceptable colors") self.script_lines.append("color "+color+", "+sele) def add_antibody_script(self): """ Add running the color cdrs pymol script. Antibody must be in AHO numbering """ color_cdrs_path = get_bin_path()+"/color_cdrs.pml" self.add_line("@"+color_cdrs_path) def run_script(self, script_outname = "pml_script.pml", delete_script = True, parellel_process = False): """ Save and Run the Pymol script :param script_outname: str """ run_pymol_script(self.save_script(script_outname), delete_script = delete_script, parellel_process=parellel_process) ######################################################################################################################## ## Helper Functions ######################################################################################################################## def run_pymol_script(script_path, run_gui = False, delete_script = False, parellel_process = True): """ Run the script of the given path. """ if not os.path.exists(script_path): if os.path.exists(os.getcwd()+script_path): script_path = os.getcwd()+script_path elif os.path.exists(os.getcwd()+"/"+script_path): script_path = os.getcwd()+"/"+script_path else: raise Exception(script_path +" does not exist...") if run_gui: cmd = "pymol "+script_path else: cmd = "pymol -c "+script_path print("Running: "+cmd) if parellel_process: threader = Threader() #threader.run_system_command(cmd) threader.run_functions([lambda: os.system(cmd)]) else: os.system(cmd) if delete_script: os.remove(script_path) def make_pymol_session_on_top(pdb_path_list, load_as_list, script_dir, session_dir, out_name, top_num = None, native_path = None, antibody = True): """ Make a pymol session on a set of decoys. Usually an ordered decoy list. :param top_dir: :param pdb_path_list: List of PDB Paths :param load_as_list: List of PDB Path names for pymol. :param outdir: :param out_name: :param top_num: :param native_path: :return: """ if top_num: pse_path = session_dir+"/"+out_name+"_top_"+str(top_num)+".pse" else: pse_path = session_dir+"/"+out_name+"_all"+".pse" if os.path.exists(pse_path): print("Overriding PSE: "+pse_path) #return if len(pdb_path_list) == 0: print("PDB list path empty. Skipping creation of pymol session") return scripter = PyMolScriptWriter(script_dir) if native_path: scripter.add_load_pdb(native_path, "native_"+os.path.basename(native_path)) scripter.add_load_pdbs(pdb_path_list, load_as_list) scripter.add_align_all_to(scripter.get_final_names()[0]) scripter.add_show("cartoon") scripter.add_line("center") scripter.add_line("hide lines") scripter.add_line("group models, model*") if antibody: color_cdrs_path = get_bin_path()+"/color_cdrs.pml" scripter.add_line("@"+color_cdrs_path) scripter.add_save_session(pse_path) scripter.write_script("load_align_top.pml") run_pymol_script(script_dir+"/"+"load_align_top.pml") def make_pymol_session_on_top_ab_include_native_cdrs(pdb_path_list, load_as_list, script_dir, session_dir, out_name, cdr_dir, top_num = None, native_path = None): """ Make a pymol session on a set of decoys. These decoys should have REMARK CDR_origin. These origin pdbs will be aligned and included in the pymol session :param top_dir: :param pdb_path_list: List of PDB Paths :param load_as_list: List of PDB Path names for pymol. :param cdr_dir: The directory of antibody CDRs from PyIgClassify. :return: """ if top_num: pse_path = session_dir+"/"+out_name+"_top_"+str(top_num)+".pse" else: pse_path = session_dir+"/"+out_name+"_all"+".pse" if os.path.exists(pse_path): print("Overriding PSE: "+pse_path) #return if len(pdb_path_list) == 0: print("PDB list path empty. Skipping creation of pymol session") return scripter = PyMolScriptWriter(script_dir) if native_path: scripter.add_load_pdb(native_path, "native_"+os.path.basename(native_path)) scripter.add_load_pdbs(pdb_path_list, load_as_list) scripter.add_align_all_to(scripter.get_final_names()[0]) scripter.add_line("group models, model*") color_cdrs_path = get_bin_path()+"/color_cdrs.pml" scripter.add_line("@"+color_cdrs_path) #For each Model, we need to load and search for origin origin_names = defaultdict(list) sorted_origin_names = [] for pair in zip(pdb_path_list, load_as_list): cdrs_to_align = defaultdict() pdb_path = pair[0] pdb_name = pair[1] INFILE = open_file(pdb_path) for line in INFILE: line = line.strip() if not line: continue lineSP = line.split() # REMARK L3_origin 5alcL_L3_0001 # if len(lineSP) == 3 and lineSP[0] == "REMARK" and re.search('origin', lineSP[1]): print(line) cdrs_to_align[lineSP[1]] = lineSP[2] else: continue INFILE.close() #Group: L3_origin_pdb_id_model for origin_type in cdrs_to_align: model_num = os.path.basename(pdb_name).split("_")[1]; # model_1_scoretye_score cdr_name = origin_type.split("_")[0]; #L3_origin cdr_object = Structure.CDR(cdr_name) pdbid = cdrs_to_align[ origin_type ].split("_")[0]; #pdbid_cdr_0001 cdr_path = cdr_dir+"/"+"_".join(cdrs_to_align[origin_type].split("_")[0:-1])+".pdb" print("CDR Path: "+ cdr_path) if not os.path.exists(cdr_path): sys.exit("CDR Path does not exist!! "+cdr_path) stem_cdr_name = '_'.join(["ste", "mod", model_num, pdbid, cdr_name]) cdr_cdr_name = '_'.join(["cdr", "mod", model_num, pdbid, cdr_name]) all_cdr_name = '_'.join(["all", "mod", model_num, pdbid, cdr_name]) model_group = "_".join(["model", model_num, cdr_name]) sorted_origin_names.append(model_group) origin_names[model_group].append(stem_cdr_name) origin_names[model_group].append(cdr_cdr_name) origin_names[model_group].append(all_cdr_name) scripter.add_load_pdb(cdr_path, stem_cdr_name) scripter.add_load_pdb(cdr_path, cdr_cdr_name) scripter.add_load_pdb(cdr_path, all_cdr_name) #SuperImpose stem #overhang_sele = ab_util.get_overhang_sele(scripter, cdr_object, 3) #scripter.add_superimpose(" ".join([stem_cdr_name, "and", overhang_sele]), " ".join([pdb_name, "and", overhang_sele])) #SuperImpose CDR-only (no Stem!) #cdr_only_sele = ab_util.get_all_cdr_sele(cdr_object, stem=0) #scripter.add_superimpose(" ".join([cdr_cdr_name, "and", cdr_only_sele]), " ".join([pdb_name, "and", cdr_only_sele])) #SuperImpose Stem+CDR #cdr_and_stem_sele = ab_util.get_all_cdr_sele(cdr_object, stem=3) #scripter.add_superimpose(" ".join([all_cdr_name, "and", cdr_and_stem_sele]), " ".join([pdb_name, "and", cdr_and_stem_sele])) scripter.add_show("cartoon") scripter.add_line("zoom full_paratope") scripter.add_line("hide lines") for origin_type in sorted_origin_names: scripter.add_line("group "+origin_type+", "+" ".join(origin_names[origin_type])) for object_name in origin_names[origin_type]: scripter.add_line("disable "+origin_type); #Make them not show when we load pymol scripter.add_line("group origin_cdrs, "+ " ".join(sorted_origin_names)) scripter.add_save_session(pse_path) scripter.write_script("load_align_top.pml") run_pymol_script(script_dir+"/"+"load_align_top.pml") def make_pymol_session_on_top_scored(pdbpaths_scores, script_dir, session_dir, out_name, top_num = -1, native_path = None, antibody=True, parellel = True, super = "", run_pymol = True, prefixes=[], copy_models=True, align = True, out_prefix = ""): """ Make a pymol session on a set of decoys with a tuple of [[score, pdb], ... ] Optionally, it can be a 3 length tupple with model name to use as last: [[score, pdb, model_name], ... ] if run_pymol is False, will not run pymol. Pymol names will be: model_n_RosettaModelNumber_score Score will be truncated to two decimal places. Returns configured PyMol Scripter for extra use. :param pdbpaths_scores: tuple of [[score, pdb], ... ] :param script_dir: Path to output PyMol script :param session_dir: Path to output Session :param out_name: name of the Pymol session :param prefixes: Optional - Prefixes to use for model names. List. Must be indexed with pdbpaths_scores :param top_num: Optional - Only output TOP N models :param native_path: Optional - Path to any input native to add to pymol session :param parellel: Optional - Run in parellel (so many pymol sessions can be created at once) :param super: Optional - Super to THIS particular selection instead of align_all to. :param run_pymol: Optional - Run Pymol using script? Default true :param out_prefix: Optional - Prefix to use for copied output models. :rtype: PyMolScriptWriter,names dict [decoy] = new name """ names = defaultdict() out_name = out_name.replace(".pse", "") if not os.path.exists(session_dir): os.mkdir(session_dir) if top_num != -1: pse_path = session_dir+"/"+out_name+"_top_"+str(top_num)+".pse" else: pse_path = session_dir+"/"+out_name+"_all"+".pse" if os.path.exists(pse_path): print("Overriding PSE: "+pse_path) #return if len(pdbpaths_scores) == 0: print("PDB list path empty. Skipping creation of pymol session") return print(pdbpaths_scores) scripter = PyMolScriptWriter(script_dir) print("Outputting script to: " +script_dir) if native_path and os.path.exists(native_path): scripter.add_load_pdb(native_path, "native_"+os.path.basename(native_path)) else: print("No native path given or it does not exist...") i = 1 for indx, score_pdb in enumerate(pdbpaths_scores): print(indx) print(repr(score_pdb)) decoy = get_decoy_path(score_pdb[1]) print("Decoy path: "+decoy) ext = get_decoy_extension(decoy) print(repr(decoy)) model_name = score_pdb[1].split("_")[-1] if len(score_pdb) == 3: model_name = score_pdb[2] out_model_name = "model_"+repr(i)+"_"+model_name+"_%.2f"%(score_pdb[0]) out_model_name = out_model_name.replace(ext, "") if prefixes: out_model_name = prefixes[indx]+out_model_name scripter.add_load_pdb(decoy, out_model_name) names[os.path.basename(score_pdb[1])] = out_model_name if (copy_models): out = out_model_name.replace(ext, "")+ext if out_prefix: out = out_prefix.strip('_')+"_"+out os.system('cp '+decoy+' '+session_dir+"/"+out) i+=1 if super: scripter.add_superimpose_all_to(scripter.get_final_names()[0], super, super) elif align: scripter.add_align_all_to(scripter.get_final_names()[0]) scripter.add_show("cartoon") scripter.add_line("center") scripter.add_line("hide lines") if native_path: scripter.add_line("group models, *model*") if antibody: color_cdrs_path = get_bin_path()+"/pymol_scripts/color_cdrs.pml" scripter.add_line("@"+color_cdrs_path) scripter.add_save_session(pse_path) scripter.write_script("load_align_top.pml") if run_pymol: run_pymol_script(script_dir+"/"+"load_align_top.pml", parellel_process=parellel) return scripter,names
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2.226863
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"""This module alters the testing system path to provide access to app."""
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import os import sys import gridfs from sleeplearning.lib.models.single_chan_expert import SingleChanExpert root_dir = os.path.abspath(os.path.join(os.path.dirname('__file__'), '..')) sys.path.insert(0, root_dir) from pymongo import MongoClient from torch import nn from torch.nn.init import xavier_normal_ as xavier_normal from cfg.config import mongo_url import torch import torch.nn.functional as F import sleeplearning.lib.base client = MongoClient(mongo_url) db = client.sacred # db.collection_names(include_system_collections=False) files = db.fs.files
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import os import sys import boto3 from linebot import LineBotApi, WebhookHandler
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3.230769
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from bokeh.plotting import figure, show, output_file from bokeh.models import ColumnDataSource, Range1d, LabelSet, Label output_file("label.html", title="label.py example") source = ColumnDataSource(data=dict(height=[66, 71, 72, 68, 58, 62], weight=[165, 189, 220, 141, 260, 174], names=['Mark', 'Amir', 'Matt', 'Greg', 'Owen', 'Juan'])) p = figure(title='Dist. of 10th Grade Students at Lee High', x_range=Range1d(140, 275)) p.scatter(x='weight', y='height', size=8, source=source) p.xaxis[0].axis_label = 'Weight (lbs)' p.yaxis[0].axis_label = 'Height (in)' labels = LabelSet(x='weight', y='height', text='names', level='glyph', x_offset=5, y_offset=5, source=source, render_mode='canvas') citation = Label(x=70, y=70, x_units='screen', y_units='screen', text='Collected by Luke C. 2016-04-01', render_mode='css', border_line_color='black', border_line_alpha=1.0, background_fill_color='white', background_fill_alpha=1.0) p.add_layout(labels) p.add_layout(citation) show(p)
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2.125
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import os from os.path import basename import sys import json import requests import matplotlib.pyplot as plt from PIL import Image from io import BytesIO # import cv2 import numpy as np # import config_own import logging ########## To-Do ########## ### optimization ### warping ### ### the shot-raw-img is needed to be warpped ### or the coin and shoes will be in inaccurate scales # def img_warping(): # to scale the main_obj size by a NT$10 coin # NT$10 coin's diameter = 26mm ######### TO-DO ########## ### 台灣/歐/美/日 各式尺寸轉換 ### #def scaling_type_transform(): if __name__ == "__main__": try: # load the needed keys subscription_key = sys.argv[2] ##################################### endpoint = sys.argv[3] ##################################### # shot_cv2() # take pics ##################################################### input_json = img_transfer_json(endpoint) obj_scale = scaling(input_json) print( "{}".format(obj_scale)) except: logging.exception("Message")
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''' Created on 2018. 4. 26. @author: lsm ''' name = ["이상면", "Tom", "Jerry", "Mike", "이상면", "Tom"] print(find_same_name(name)) name = ["이상면", "Tom", "Jerry", "Mike", "이상면", "Mike"] print(find_same_name(name)) name = ["이상면", "Tom", "Jerry", "Mike", "Mike", "Jerry", "tom"] print(find_same_name(name))
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""" To easily reproduce experiments, and avoid passing several command line arguments, we implemented a curriculum utility. Parameters can be set in a curriculum dictionary. Curriculum Schema: Numerical keys in the curriculum specify an upsample step. When the current step matches the upsample step, the values in the corresponding dict be updated in the curriculum. Common curriculum values specified at upsamples: batch_size: Batch Size. num_steps: Number of samples along ray. img_size: Generated image resolution. batch_split: Integer number over which to divide batches and aggregate sequentially. (Used due to memory constraints) gen_lr: Generator learnig rate. disc_lr: Discriminator learning rate. fov: Camera field of view ray_start: Near clipping for camera rays. ray_end: Far clipping for camera rays. fade_steps: Number of steps to fade in new layer on discriminator after upsample. h_stddev: Stddev of camera yaw in radians. v_stddev: Stddev of camera pitch in radians. h_mean: Mean of camera yaw in radians. v_mean: Mean of camera pitch in radians. sample_dist: Type of camera pose distribution. (gaussian | spherical_uniform | uniform) topk_interval: Interval over which to fade the top k ratio. topk_v: Minimum fraction of a batch to keep during top k training. betas: Beta parameters for Adam. unique_lr: Whether to use reduced LRs for mapping network. weight_decay: Weight decay parameter. r1_lambda: R1 regularization parameter. latent_dim: Latent dim for Siren network in generator. grad_clip: Grad clipping parameter. model: Siren architecture used in generator. (SPATIALSIRENBASELINE | TALLSIREN) generator: Generator class. (ImplicitGenerator3d) discriminator: Discriminator class. (ProgressiveEncoderDiscriminator | ProgressiveDiscriminator) dataset: Training dataset. (CelebA | Carla | Cats) clamp_mode: Clamping function for Siren density output. (relu | softplus) z_dist: Latent vector distributiion. (gaussian | uniform) hierarchical_sample: Flag to enable hierarchical_sampling from NeRF algorithm. (Doubles the number of sampled points) z_labmda: Weight for experimental latent code positional consistency loss. pos_lambda: Weight parameter for experimental positional consistency loss. last_back: Flag to fill in background color with last sampled color on ray. """ import math LSUN = { 0: { "batch_size": 20, "num_steps": 12, "img_size": 32, "batch_split": 1, "gen_lr": 0.0002, "disc_lr": 0.002, }, int(150e3): { "batch_size": 10, "num_steps": 12, "img_size": 64, "batch_split": 1, "gen_lr": 5e-5, "disc_lr": 5e-4, }, int(400e3): { "batch_size": 1, "num_steps": 48, "img_size": 128, "batch_split": 1, "gen_lr": 10e-6, "disc_lr": 10e-5, }, int(600e3): {}, # int(55e3): {'batch_size': 1, 'num_steps': 48, 'img_size': 128, 'batch_split': 5, 'gen_lr': 10e-6, 'disc_lr': 10e-5}, # int(200e3): {}, "dataset_path": "/h/edwardl/datasets/LSUN/cars/combined/*.webp", # "dataset_path": "/h/edwardl/datasets/carla/images/*.png", "fov": 30, "ray_start": 0.7, "ray_end": 1.3, "fade_steps": 10000, "sample_dist": "spherical_uniform", "h_stddev": math.pi, "v_stddev": math.pi / 4 * 85 / 90, "h_mean": math.pi * 0.5, "v_mean": math.pi / 4 * 85 / 90, "topk_interval": 1000, "topk_v": 1, "betas": (0, 0.9), "unique_lr": False, "weight_decay": 0, "r1_lambda": 10, "latent_dim": 256, "grad_clip": 10, "generator": "CIPSGeneratorNerfINR", "discriminator": "MultiScaleAuxDiscriminatorConfig", "INR": "CIPSNetINRConfig", "siren": "ShallowSIRENConfig", "inr_mapping": "INRMultiHeadMappingConfig", "siren_mapping": "SirenMultiHeadMappingConfig", "dataset": "LSUNCars", # "dataset": "Carla", "white_back": True, "clamp_mode": "relu", "z_dist": "gaussian", "hierarchical_sample": True, "z_lambda": 0, "pos_lambda": 0, "learnable_dist": False, "use_amp_G": False, "use_amp_D": False, "forward_points": 256, "train_aux_img": True, "aux_img_interval": 1, "d_reg_interval": 1, "batch_size_eval": 16, "grad_points": 256, } CelebA = { 0: { "batch_size": 4, "num_steps": 12, "img_size": 32, "batch_split": 1, "gen_lr": 0.0002, "disc_lr": 0.002, }, int(50e3): { "batch_size": 10, "num_steps": 12, "img_size": 64, "batch_split": 1, "gen_lr": 5e-5, "disc_lr": 5e-4, }, int(300e3): {}, "dataset_path": "/scratch/ssd002/datasets/celeba/Img/img_align_celeba/*.jpg", "fov": 12, "ray_start": 0.88, "ray_end": 1.12, "fade_steps": 10000, "sample_dist": "gaussian", "h_stddev": 0.3, "v_stddev": 0.155, "h_mean": math.pi * 0.5, "v_mean": math.pi / 4 * 85 / 90, "topk_interval": 1000, "topk_v": 1, "betas": (0, 0.9), "unique_lr": False, "weight_decay": 0, "r1_lambda": 10, "latent_dim": 256, "grad_clip": 10, "generator": "CIPSGeneratorNerfINR", "discriminator": "MultiScaleAuxDiscriminatorConfig", "INR": "CIPSNetINRConfig", "siren": "ShallowSIRENConfig", "inr_mapping": "INRMultiHeadMappingConfig", "siren_mapping": "SirenMultiHeadMappingConfig", "dataset": "CelebA", "white_back": True, "clamp_mode": "relu", "z_dist": "gaussian", "hierarchical_sample": True, "z_lambda": 0, "pos_lambda": 0, "learnable_dist": False, "use_amp_G": False, "use_amp_D": False, "forward_points": 256, "train_aux_img": True, "aux_img_interval": 1, "d_reg_interval": 1, "batch_size_eval": 16, "grad_points": 256, }
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2.306595
2,593
#!/usr/bin/python3 # -*- encoding: utf-8 -*- # from sys import argv import random import os.path import hashlib import time import stolas.stolas import stolas.protocol from stolas.betterui import pprint as print from network import manual_stolas_prompt from common import network_collapse, mean if __name__ == '__main__': if len(argv) == 1: print("Tell me?") pass if argv[1] == "cluster": stolas_cluster() elif argv[1] == "gigacluster": stolas_gigacluster() elif argv[1] == "simple": stolas_simple() elif argv[1] == "transmission": test_transmission() else: print("¯\_(ツ)_/¯")
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''' Comparing single layer MLP with deep MLP (using TensorFlow) ''' import tensorflow as tf import numpy as np import pickle import timeit start = timeit.default_timer() # Create model # Add more hidden layers to create deeper networks # Remember to connect the final hidden layer to the out_layer # Do not change this # Parameters learning_rate = 0.0001 training_epochs = 100 batch_size = 100 # Construct model pred,x,y = create_multilayer_perceptron() # Define loss and optimizer cost = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(logits=pred, labels=y)) optimizer = tf.train.AdamOptimizer(learning_rate=learning_rate).minimize(cost) timer =1 # Initializing the variables init = tf.global_variables_initializer() # load data train_features, train_labels, valid_features, valid_labels, test_features, test_labels = preprocess() # Launch the graph with tf.Session() as sess: sess.run(init) # Training cycle for epoch in range(training_epochs): print(timer) timer = timer +1 avg_cost = 0. total_batch = int(train_features.shape[0] / batch_size) # Loop over all batches for i in range(total_batch): batch_x, batch_y = train_features[i * batch_size: (i + 1) * batch_size], train_labels[i * batch_size: (i + 1) * batch_size] # Run optimization op (backprop) and cost op (to get loss value) _, c = sess.run([optimizer, cost], feed_dict={x: batch_x, y: batch_y}) # Compute average loss avg_cost += c / total_batch print("Optimization Finished!") correct_prediction = tf.equal(tf.argmax(pred, 1), tf.argmax(y, 1)) accuracy = tf.reduce_mean(tf.cast(correct_prediction, "float")) print("Accuracy:", accuracy.eval({x: test_features, y: test_labels})) stop = timeit.default_timer() print('\n Time Taken: ' + str(stop - start))
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2.617198
721
import torch.nn as nn
[ 11748, 28034, 13, 20471, 355, 299, 77 ]
3
7
if __name__ == '__main__': keys = [ 'she', 'sells', 'seashells', 'by', 'the', 'seashore', 'the', 'shells', 'she', 'sells', 'are', 'surely', 'seashells', ] expected = sorted(keys[:]) assert keys != expected sort(keys) assert keys == expected
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1.729358
218
#! /usr/bin/env python3 # -*- coding: utf-8 -*- # vim:fenc=utf-8 # # Copyright © 2019 Malcolm Ramsay <[email protected]> # # Distributed under terms of the MIT license. """Module for reading and processing input files.""" from ._util import TrackedMotion from .dynamics import Dynamics from .relaxations import LastMolecularRelaxation, MolecularRelaxation, Relaxations __all__ = [ "Dynamics", "TrackedMotion", "LastMolecularRelaxation", "MolecularRelaxation", "Relaxations", ]
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2.821229
179
import json import logging import os logger = logging.getLogger(__name__)
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3.166667
24
import click import string import random import time import pandas as pd from faker import Faker fake = Faker('en') class anon(object): '''Initialize a df as an anon object. Args: df: pandas dataframe Returns: anon object ''' def anon_name(self, col): ''' Replace entries in name column with fake names generated from faker. Args: col: column containing name data Returns: anon object with replaced name col ''' unique = self.df[col].unique() map_dict = {_: fake.name() for _ in unique} self.df[col] = self.df[col].map(map_dict) def anon_id(self, col): ''' Replace entries in id column with fake uuid generated from faker. Args: col: column containing id data Returns: anon object with replaced id col ''' unique = self.df[col].unique() map_dict = {_: fake.uuid4() for _ in unique} self.df[col] = self.df[col].map(map_dict) def anon_discrete_num(self, col): ''' Replace entries in column with whole nums to random whole nums in the same range. Args: col: column containing whole number data Returns: anon object with replaced discrete col ''' X_std = (self.df[col] - self.df[col].min()) / ( self.df[col].max() - self.df[col].min()) X_scaled = (X_std * (10 - 1) + 1) X_scaled_randomized = (X_scaled * random.randint(1, 10)).astype(int) self.df[col] = X_scaled_randomized def anon_continuous_num(self, col): ''' Replace entries in columns with continuous nums to random whole nums in the same range. Args: col: column containing continuous number data Returns: anon object with replaced continuous col ''' X_std = (self.df[col] - self.df[col].min()) / ( self.df[col].max() - self.df[col].min()) X_scaled = (X_std * (10 - 1) + 1) X_scaled_randomized = round(X_scaled * random.randint(1, 10), 3) self.df[col] = X_scaled_randomized def anon_category(self, col): ''' Replace entries in column with categorical data to anonymized category. Args: col: column containing categorical data Returns: anon object with replaced categorical col ''' unique = self.df[col].unique() rand_ = random.randint(0, 1000) map_dict = { category: "Category_" + str(rand_) + " " + str(i) for i, category in enumerate(unique) } self.df[col] = self.df[col].map(map_dict) def anon_date(self, col): ''' Replace entries in date column with random date in the same range. Args: col: column containing date data Returns: anon object with replaced date col ''' self.df[col] = pd.to_datetime( self.df[col], infer_datetime_format=True) start_date = self.df[col].min() end_date = self.df[col].max() map_list = [fake.date_between( start_date=start_date, end_date=end_date) for i in range(self.df.shape[0])] self.df[col] = map_list def anon_email(self, col): ''' Replace entries in email column with random emails. Args: col: column containing email Returns: anon object with replaced email col ''' unique = self.df[col].unique() map_dict = {_: (''.join(random.choices( string.ascii_lowercase + string.digits, k=12)))+'@anonemail.com' for _ in unique} self.df[col] = self.df[col].map(map_dict) def save_anon_csv(self): '''Save anon object to a csv file''' self.df.to_csv(str(time.time())+'kohokoho.csv', index=False) @click.command() @click.option( '--csv', prompt='Enter location of CSV', help='Enter a valid filepath or buffer')
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2.150953
1,888
import gym import numpy as np import operator env = gym.make('MountainCar-v0') possible_actions = env.action_space.n print 'Possible actions are {}'.format(possible_actions) epsilonlearn = EpsilonGreedy() for episode in xrange(epsilonlearn.episodes): observation = env.reset() while True: env.render() action = epsilonlearn.select_action(observation) next_observation, reward, done, _ = env.step(action) epsilonlearn.update_all(action, reward) observation = next_observation if done: break env.destroy()
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2.495726
234
# vim: set fileencoding=utf-8 import unittest import decimal from eactivities import utils as utils
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3
36
# Copyright 2020 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================ '''Remove after MindData merge to MindSpore ''' import numpy as np from mindspore import Tensor class MindData: """ Stub for MindData """ @property
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4.073892
203
from datetime import datetime from Training_Raw_data_validation.rawValidation import Raw_Data_validation from DataTransform_Training.DataTransformation import dataTransform from application_logging import logger
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4.395833
48
from django.shortcuts import render import json
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4.272727
11
from models.net import Pipeline, full_loss
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4.2
10
# SPDX-License-Identifier: Apache-2.0 from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals import numpy as np # type: ignore import onnx from ..base import Base from . import expect
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3.463415
82
import functools from collections import OrderedDict from typing import Callable, Dict, List, Optional, Union import gorilla import torch import torch.nn as nn try: import spconv from spconv.modules import SparseModule except: pass from .block import ResidualBlock, VGGBlock, AsymResidualBlock
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3.229167
96
import falcon import skyline import outlier import backend api = falcon.API() # Skyline Resources skyline_MedianAbsoluteDeviation = skyline.MedianAbsoluteDeviation() skyline_Grubbs = skyline.Grubbs() skyline_FirstHourAverage = skyline.FirstHourAverage() skyline_HistogramBins = skyline.HistogramBins() skyline_LeastSquares = skyline.LeastSquares() skyline_MeanSubtractionCumulation = skyline.MeanSubtractionCumulation() skyline_StddevFromAverage = skyline.StddevFromAverage() skyline_StddevFromMovingAverage = skyline.StddevFromMovingAverage() # Outlier Resources outlier_Tukey = outlier.Tukey() # Backend Resources backend_AvailableBackends = backend.AvailableBackends() # Skyline routes api.add_route('/v1/algos/skyline/medianabsolutedeviation', skyline_MedianAbsoluteDeviation) api.add_route('/v1/algos/skyline/grubbs', skyline_Grubbs) api.add_route('/v1/algos/skyline/firsthouraverage', skyline_FirstHourAverage) api.add_route('/v1/algos/skyline/histogrambins', skyline_HistogramBins) api.add_route('/v1/algos/skyline/leastsquares', skyline_LeastSquares) api.add_route('/v1/algos/skyline/meansubtractioncumulation', skyline_MeanSubtractionCumulation) api.add_route('/v1/algos/skyline/stddevfromaverage', skyline_StddevFromAverage) api.add_route('/v1/algos/skyline/stddevfrommovingaverage', skyline_StddevFromMovingAverage) # Outlier routes api.add_route('/v1/algos/outliers/tukey', outlier_Tukey) # Backend routes api.add_route('/v1/backends', backend_AvailableBackends)
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2.49922
641
# Generated by Django 2.1.5 on 2019-03-05 07:35 from django.db import migrations, models
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2.84375
32
import json from pathlib import Path from typing import Dict, List, NewType, Tuple ZoneKey = NewType("ZoneKey", str) Point = NewType("Point", Tuple[float, float]) BoundingBox = NewType("BoundingBox", List[Point]) CONFIG_DIR = Path(__file__).parent.parent.parent.parent.joinpath("config").resolve() # Read JOSN files ZONES_CONFIG = json.load(open(CONFIG_DIR.joinpath("zones.json"))) EXCHANGES_CONFIG = json.load(open(CONFIG_DIR.joinpath("exchanges.json"))) CO2EQ_PARAMETERS_ALL = json.load(open(CONFIG_DIR.joinpath("co2eq_parameters_all.json"))) CO2EQ_PARAMETERS_LIFECYCLE = { **CO2EQ_PARAMETERS_ALL, **json.load(open(CONFIG_DIR.joinpath("co2eq_parameters_lifecycle.json"))) } CO2EQ_PARAMETERS_DIRECT = { **CO2EQ_PARAMETERS_ALL, **json.load(open(CONFIG_DIR.joinpath("co2eq_parameters_direct.json"))) } CO2EQ_PARAMETERS = CO2EQ_PARAMETERS_LIFECYCLE # Global LCA is the default # Prepare zone bounding boxes ZONE_BOUNDING_BOXES: Dict[ZoneKey, BoundingBox] = {} for zone_id, zone_config in ZONES_CONFIG.items(): if "bounding_box" in zone_config: ZONE_BOUNDING_BOXES[zone_id] = zone_config["bounding_box"] # Prepare zone neighbours ZONE_NEIGHBOURS: Dict[ZoneKey, List[ZoneKey]] = {} for k, v in EXCHANGES_CONFIG.items(): zone_names = k.split("->") pairs = [(zone_names[0], zone_names[1]), (zone_names[1], zone_names[0])] for zone_name_1, zone_name_2 in pairs: if zone_name_1 not in ZONE_NEIGHBOURS: ZONE_NEIGHBOURS[zone_name_1] = set() ZONE_NEIGHBOURS[zone_name_1].add(zone_name_2) # we want neighbors to always be in the same order for zone, neighbors in ZONE_NEIGHBOURS.items(): ZONE_NEIGHBOURS[zone] = sorted(neighbors)
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2.376569
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""" This module contains shared fixtures. """ import json from pathlib import Path # pip installed import pytest # installed with webdriver_manager from selenium import webdriver from webdriver_manager.chrome import ChromeDriverManager from webdriver_manager.firefox import GeckoDriverManager # scope="session" means "Run fixture 1x per session" # (1x before entire test suite) @pytest.fixture def config(scope="session"): # NOTE: pytest --fixtures test_cards.py lists its available fixtures # A docstring (as below) for the fixture will be included in the list """Load/update configuration parameters to pass to WebDriver instance""" # Read the file with open(Path("tests") / "config.json") as config_file: config = json.load(config_file) # Assert values are acceptable assert config["browser"] in ["Firefox", "Chrome"] assert isinstance(config["implicit_wait"], int) assert config["implicit_wait"] > 0 # Return config so it can be used return config # scope="function" [the default] means "Run fixture 1x for each test case" )" @pytest.fixture def browser(config): """Yield WebDriver instance with the specified configuration""" # Setup # This section known as Arrange (in the Arrange-Act-Assert paradigm) # This section known as Given (in the Given-When-Then paradigm) # Initialize the WebDriver instance if config["browser"] == "Chrome": b = webdriver.Chrome(ChromeDriverManager().install()) elif config["browser"] == "Firefox": b = webdriver.Firefox(executable_path=GeckoDriverManager().install()) else: raise Exception(f'Browser "{config["browser"]}" is not supported') b.maximize_window() # Needed so that searched-for elements are visible # Wait up to specified number of seconds for elements to appear b.implicitly_wait(config["implicit_wait"]) # Run the test: Return the WebDriver instance for the test # This section known as Act (in the Arrange-Act-Assert paradigm) # This section known as When (in the Given-When-Then paradigm) yield b # Teardown/Cleanup # Quit the WebDriver instance for the cleanup b.quit()
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3.216374
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# coding: utf-8 """ FlashBlade REST API A lightweight client for FlashBlade REST API 2.2, developed by Pure Storage, Inc. (http://www.purestorage.com/). OpenAPI spec version: 2.2 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # python 2 and python 3 compatibility library import six from typing import List, Optional from .. import models
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3.181159
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# coding=utf-8 import logging from cwharaj.items import Ad, CacheItem, City, Member, OpensooqPhone from cwharaj.parser.base_parser import BaseParser from cwharaj.parser.utils.harajs_comments import HarajsComments from cwharaj.parser.utils.harajs_section import HarajsSection from cwharaj.parser.utils.timer_opensooq_comment_date_util import OpensooqCommentDateUtil
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2.98374
123
# VXT # Developed by Christian Visintin # # MIT License # Copyright (c) 2021 Christian Visintin # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. # from ..context import Context from ..args import CliArgs from .task import Task from typing import Optional, Type # vxt from vxt.audio.audio import Audio # tasks from .audio.amplify import AmplifyTask from .audio.delete_track import DeleteTrackTask from .audio.export import ExportTask from .audio.normalize import NormalizeTask from .audio.play import PlayTask, PlayChunkTask from .audio.rename_track import RenameTracksTask from .audio.split_silence import SplitSilenceTask from .audio.split_track import SplitTrackTask from .speech2text.manual import ManualSpeechTask from .speech2text.speech import SpeechTask class TaskFactory(object): """A task factory""" @staticmethod def make(task: Type[Task], ctx: Context, cli_args: CliArgs) -> Task: """Make a Task from class name and current context""" if task == AmplifyTask: return TaskFactory.__amplify_task(ctx, cli_args.get("dB").as_int()) elif task == DeleteTrackTask: return TaskFactory.__delete_track_trask(ctx) elif task == ExportTask: return TaskFactory.__export_task(ctx, cli_args.get("format").as_str()) elif task == NormalizeTask: return TaskFactory.__normalize_task(ctx) elif task == PlayTask: return TaskFactory.__play_task(ctx) elif task == PlayChunkTask: return TaskFactory.__play_chunk_task( ctx, cli_args.get_or("start", None).as_int(), cli_args.get_or("end", None).as_int(), ) elif task == RenameTracksTask: return TaskFactory.__rename_track_task(ctx) elif task == SplitSilenceTask: return TaskFactory.__split_silence_task( ctx, cli_args.get("min_silence_len").as_int(), cli_args.get("silence_threshold").as_int(), cli_args.get("keep_silence").as_int(), ) elif task == SplitTrackTask: return TaskFactory.__split_track_task(ctx, cli_args.get("offset").as_int()) elif task == SpeechTask: return TaskFactory.__speech_task(ctx) elif task == ManualSpeechTask: return TaskFactory.__manual_speech_task( ctx, cli_args.get("speech").as_str() ) else: raise NotImplementedError @staticmethod @staticmethod @staticmethod @staticmethod @staticmethod @staticmethod @staticmethod @staticmethod @staticmethod @staticmethod @staticmethod @staticmethod
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from __future__ import absolute_import, division, print_function import os import re import socket import sys from itertools import count from functools import partial from subprocess import Popen from subprocess import PIPE from time import sleep import click from distutils.spawn import find_executable from compose.cli.docker_client import docker_client from bag8.exceptions import CheckCallFailed, WaitLinkFailed RE_WORD = re.compile('\W') call = partial(Popen, stdout=PIPE, stderr=PIPE)
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