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How to use list_segments method in tempest

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CrossSectStator.py

Source:CrossSectStator.py

1from pylab import np, cos, sin, arctan2class CrossSectInnerRotorStator:3    # CrossSectInnerRotorPMStator Describes the inner rotor PM stator.4    #    Properties are set upon class creation and cannot be modified.5    #    The anchor point for this is the center of the stator,6    #    with the x-axis directed down the center of one of the stator teeth.7    def __init__(self,8                    name = 'StatorCore',9                    color = '#BAFD01',10                    deg_alpha_st = 40, # span angle of tooth: class type DimAngular11                    deg_alpha_so = 20, # angle of tooth edge: class type DimAngular12                    mm_r_si      = 40,# inner radius of stator teeth: class type DimLinear13                    mm_d_so      = 5,# tooth edge length: class type DimLinear14                    mm_d_sp      = 10,# tooth tip length: class type DimLinear15                    mm_d_st      = 15,# tooth base length: class type DimLinear16                    mm_d_sy      = 15,# back iron thickness: class type DimLinear17                    mm_w_st      = 13,# tooth base width: class type DimLinear18                    mm_r_st      = 0,# fillet on outter tooth: class type DimLinear19                    mm_r_sf      = 0,# fillet between tooth tip and base: class type DimLinear20                    mm_r_sb      = 0,# fillet at tooth base: class type DimLinear21                    Q = 6,            # number of stator slots (integer)22                    location = None23                ):2425        self.name = name26        self.color = color27        self.deg_alpha_st = deg_alpha_st28        self.deg_alpha_so = deg_alpha_so29        self.mm_r_si      = mm_r_si     30        self.mm_d_so      = mm_d_so     31        self.mm_d_sp      = mm_d_sp     32        self.mm_d_st      = mm_d_st     33        self.mm_d_sy      = mm_d_sy     34        self.mm_w_st      = mm_w_st     35        self.mm_r_st      = mm_r_st     36        self.mm_r_sf      = mm_r_sf     37        self.mm_r_sb      = mm_r_sb     38        self.Q = Q               39        self.location = location 4041    def draw(self, drawer):4243        drawer.getSketch(self.name, self.color)4445        alpha_st = self.deg_alpha_st * np.pi/18046        alpha_so = -self.deg_alpha_so * np.pi/18047        r_si = self.mm_r_si48        d_so = self.mm_d_so49        d_sp = self.mm_d_sp50        d_st = self.mm_d_st51        d_sy = self.mm_d_sy52        w_st = self.mm_w_st53        r_st = self.mm_r_st54        r_sf = self.mm_r_sf55        r_sb = self.mm_r_sb56        Q    = self.Q5758        alpha_slot_span = 360/Q * np.pi/1805960        P1 = [r_si, 0]61        P2 = [r_si*cos(alpha_st*0.5), r_si*-sin(alpha_st*0.5)]62        P3_temp = [ d_so*cos(alpha_st*0.5), 63                    d_so*-sin(alpha_st*0.5)]64        P3_local_rotate = [  cos(alpha_so)*P3_temp[0] + sin(alpha_so)*P3_temp[1],65                             -sin(alpha_so)*P3_temp[0] + cos(alpha_so)*P3_temp[1] ]66        P3 = [  P3_local_rotate[0] + P2[0],67                P3_local_rotate[1] + P2[1] ]6869        ä¸è§å½¢çåº = r_si + d_sp70        ä¸è§å½¢çé« = w_st*0.571        ä¸è§å½¢çè§åº¦ = arctan(ä¸è§å½¢çé« / ä¸è§å½¢çåº)72        P4 = [  ä¸è§å½¢çåº*cos(ä¸è§å½¢çè§åº¦), 73                ä¸è§å½¢çåº*-sin(ä¸è§å½¢çè§åº¦)]7475        P5 = [ P4[0] + d_st, 76               P4[1]]7778        P6 = [ (r_si+d_sp+d_st)*cos(alpha_slot_span*0.5),79               (r_si+d_sp+d_st)*-sin(alpha_slot_span*0.5) ]8081        P7 = [ (r_si+d_sp+d_st+d_sy)*cos(alpha_slot_span*0.5),82               (r_si+d_sp+d_st+d_sy)*-sin(alpha_slot_span*0.5) ]83        P8 = [  r_si+d_sp+d_st+d_sy, 0]8485        list_segments = []86        list_segments += drawer.drawArc([0,0], P2, P1)87        list_segments += drawer.drawLine(P2, P3)88        list_segments += drawer.drawLine(P3, P4)89        list_segments += drawer.drawLine(P4, P5)90        list_segments += drawer.drawArc([0,0], P6, P5)91        list_segments += drawer.drawLine(P6, P7)92        # l, vA = drawer.drawArc([0,0], P6, P5, returnVertexName=True)93        # list_segments += l94        # l, vB = drawer.drawLine(P6, P7, returnVertexName=True)95        # list_segments += l96        # drawer.addConstraintCocentricity(vA[0], vB[0])97        # raise9899        list_segments += drawer.drawArc([0,0], P7, P8)100        list_segments += drawer.drawLine(P8, P1)101102        return [list_segments]103104def get_area_polygon(a,b,c,d):105    x1, x2, x3, x4 = a[0], b[0], c[0], d[0]106    y1, y2, y3, y4 = a[1], b[1], c[1], d[1]107108    return 0.5*abs( x1*y2-y1*x2 + x2*y3-y2*x3 + x3*y4-y3*x4 + x4*y1-y4*x1 )109110class CrossSectInnerRotorStatorWinding(object):111    def __init__(self, 112                    name = 'Coils',113                    color = '#3D9970',114                    stator_core = None115                    ):116        self.name = name117        self.color = color118        self.stator_core = stator_core119120    def draw(self, drawer, bool_re_evaluate=False):121122        if False == bool_re_evaluate:123            drawer.getSketch(self.name, self.color)124125        alpha_st = self.stator_core.deg_alpha_st * np.pi/180126        alpha_so = self.stator_core.deg_alpha_so * np.pi/180127        r_si     = self.stator_core.mm_r_si128        d_so     = self.stator_core.mm_d_so129        d_sp     = self.stator_core.mm_d_sp130        d_st     = self.stator_core.mm_d_st131        d_sy     = self.stator_core.mm_d_sy132        w_st     = self.stator_core.mm_w_st133        r_st     = self.stator_core.mm_r_st134        r_sf     = self.stator_core.mm_r_sf135        r_sb     = self.stator_core.mm_r_sb136        Q        = self.stator_core.Q137138        alpha_slot_span = 360/Q * np.pi/180139140        P1 = [r_si, 0]141142            # ä¹ä»¥0.99æ0.95é¿åä¸å±å¯¼ä½åä¸å±å¯¼ä½éåå¯¼è´å¯¼å¥Designeræ¶äº§çå¤ä½çPartsã143        POpen = [(r_si+d_sp)*cos(alpha_slot_span*0.5*1.00), (r_si+d_sp)*-sin(alpha_slot_span*0.5*1.00)]144145        # P2 = [r_si*cos(alpha_st*0.5), r_si*-sin(alpha_st*0.5)]146147        # P3_temp = [ d_so*cos(alpha_st*0.5), 148        #             d_so*-sin(alpha_st*0.5)]149        # P3_local_rotate = [  cos(alpha_so)*P3_temp[0] + sin(alpha_so)*P3_temp[1],150        #                      -sin(alpha_so)*P3_temp[0] + cos(alpha_so)*P3_temp[1] ]151        # P3 = [  P3_local_rotate[0] + P2[0],152        #         P3_local_rotate[1] + P2[1] ]153154        ä¸è§å½¢çåº = r_si + d_sp155        ä¸è§å½¢çé« = w_st*0.5156        ä¸è§å½¢çè§åº¦ = arctan(ä¸è§å½¢çé« / ä¸è§å½¢çåº)157        P4 = [  ä¸è§å½¢çåº*cos(ä¸è§å½¢çè§åº¦), 158                ä¸è§å½¢çåº*-sin(ä¸è§å½¢çè§åº¦) ]159160        P5 = [ P4[0] + d_st, 161               P4[1]]162163        PMiddle45 = [0.5*(P4[0] + P5[0]), P4[1]]164        TheRadius = (P5[0] - P4[0])*0.45165166            # ä¸ºäºä½¿å¾æ§½åå¯¼ä½ä¹é´ä¸è¦æ¥è§¦ï¼è¯çæ·»å 5%çclearanceï¼167        P6 = [ (r_si+d_sp+d_st)*cos(alpha_slot_span*0.5) *1.00,168               (r_si+d_sp+d_st)*-sin(alpha_slot_span*0.5) *1.00 ]169170        self.mm2_slot_area = 2 * get_area_polygon(P4, P5, P6, POpen)171        print('Slot area is %g mm^2'%(self.mm2_slot_area))172        if bool_re_evaluate:173            return self.mm2_slot_area174175        PMiddle6Open = [ 0.5*(P6[0]+POpen[0]), 0.5*(P6[1]+POpen[1])]176        self.PCoil = PCoil = [ 0.5*(PMiddle45[0]+PMiddle6Open[0]), 0.5*(PMiddle45[1]+PMiddle6Open[1])]177178        # P7 = [ (r_si+d_sp+d_st+d_sy)*cos(alpha_slot_span*0.5),179        #        (r_si+d_sp+d_st+d_sy)*-sin(alpha_slot_span*0.5) ]180        # P8 = [  r_si+d_sp+d_st+d_sy, 0]181182        # Compute the vector starting from PCoil to one of the corner of the polygon.183        def shrink(PC, P):184            vector = [ P[0] - PC[0], P[1] - PC[1]]185            return [ PC[0]+0.95*vector[0], PC[1]+0.95*vector[1] ]186        P6_Shrink = shrink(PCoil, P6)187        P5_Shrink = shrink(PCoil, P5)188        P4_Shrink = shrink(PCoil, P4)189        POpen_Shrink = shrink(PCoil, POpen)190191        list_regions = []192193        list_segments = []194        # list_segments += drawer.drawCircle(PCoil, TheRadius)195        list_segments += drawer.drawArc([0,0], P6_Shrink, P5_Shrink)196        list_segments += drawer.drawLine(P5_Shrink, P4_Shrink)197        list_segments += drawer.drawLine(P4_Shrink, POpen_Shrink)198        list_segments += drawer.drawLine(POpen_Shrink, P6_Shrink)199        list_regions.append(list_segments)200201        PCoil[1] *= -1202        P6_Shrink[1] *= -1203        P5_Shrink[1] *= -1204        P4_Shrink[1] *= -1205        POpen_Shrink[1] *= -1206        list_segments = []207        # list_segments += drawer.drawCircle(PCoil, TheRadius)208        list_segments += drawer.drawArc([0,0], P5_Shrink, P6_Shrink)209        list_segments += drawer.drawLine(P5_Shrink, P4_Shrink)210        list_segments += drawer.drawLine(P4_Shrink, POpen_Shrink)211        list_segments += drawer.drawLine(POpen_Shrink, P6_Shrink)212        list_regions.append(list_segments)213        list_segments = []214215        return list_regions216217if __name__ == '__main__':218    import JMAG219    import Location2D220    if True:221        from utility import my_execfile222        my_execfile('./default_setting.py', g=globals(), l=locals())223        fea_config_dict224225        toolJd = JMAG.JMAG(fea_config_dict)226227        project_name          = 'proj%d'%(0)228        expected_project_file_path = './' + "%s.jproj"%(project_name)229        toolJd.open(expected_project_file_path)230231    stator_core = CrossSectInnerRotorStator( name = 'StatorCore',232                                        deg_alpha_st = 40,233                                        deg_alpha_so = 20,234                                        mm_r_si = 40,235                                        mm_d_so = 5,236                                        mm_d_sp = 10,237                                        mm_d_st = 15,238                                        mm_d_sy = 15,239                                        mm_w_st = 13,240                                        mm_r_st = 0,241                                        mm_r_sf = 0,242                                        mm_r_sb = 0,243                                        Q = 6,244                                        location = Location2D.Location2D(anchor_xy=[0,0], deg_theta=0)245                                        )246247    list_regions = stator_core.draw(toolJd)248    toolJd.bMirror = True249    toolJd.iRotateCopy = stator_core.Q250    region1 = toolJd.prepareSection(list_regions)251252    coils = CrossSectInnerRotorStatorWinding(name = 'Coils',253                                                stator_core = stator_core)254255    list_regions = coils.draw(toolJd)256    toolJd.bMirror = False257    toolJd.iRotateCopy = coils.stator_core.Q258    region2 = toolJd.prepareSection(list_regions)259260    # Import Model into Designer261    toolJd.doc.SaveModel(False) # True: Project is also saved. 262    model = toolJd.app.GetCurrentModel()263    model.SetName('BPMSM Modeling')264    model.SetDescription('BPMSM Test')265266
...

dataset.py

Source:dataset.py

1import math2import os3import pandas as pd4from sklearn.model_selection import train_test_split5import torch6from torch.utils.data import TensorDataset7from sklearn import preprocessing8le = preprocessing.LabelEncoder()9def get_dict(le):10    classes = le.classes_11    final_dict = {}12    for abc,ra in zip(classes,range(len(classes))):13        final_dict[abc] = ra14    return final_dict15        16def _load_20newsgroup(directory, max_length=512):17    text = []18    tags = []19    dir = directory20    for a in os.listdir(dir):21      new = os.path.join(dir,a)22      23      for x in os.listdir(new):24        if x.endswith(".txt"):25          read_dir = os.path.join(new,x)26          b = open(read_dir,"r",encoding="utf8", errors='ignore')27          text_file = b.read()28          text_file = text_file[:1]29          text.append(text_file)30          tags.append(a)31    dict = {'Text':text, 'number':tags}32    data = pd.DataFrame(dict) 33  34    data["number"] = le.fit_transform(data["number"])35    label2id = get_dict(le)36    data_train,data_test = train_test_split(data,test_size=0.7)37    X_train = data_train["Text"].to_list()38    y_train = data_train["number"].to_list()39    X_test = data_test["Text"].to_list()40    y_test = data_test["number"].to_list()41    return X_train, y_train, X_test, y_test, label2id42def load_20newsgroup_segments1(text, max_length=512, size_segment=200, size_shift=50):43    X_test_full = [text]44    y_test = [0]45    label2id = {"aa":0}46    47    def get_segments(sentence):48        list_segments = []49        lenght_ = size_segment - size_shift50        tokens = sentence.split()51        num_tokens = len(tokens)52        num_segments = math.ceil(len(tokens) / lenght_)53        if num_tokens > lenght_:54            for i in range(0, num_tokens, lenght_):55                j = min(i+size_segment, num_tokens)56                list_segments.append(" ".join(tokens[i:j]))57        else:58                list_segments.append(sentence)    59        return list_segments, len(list_segments)60    def get_segments_from_section(sentences):61        list_segments = []62        list_num_segments = []63        for sentence in sentences:64            ls, ns = get_segments(sentence)65            list_segments += ls66            list_num_segments.append(ns)67        return list_segments, list_num_segments68    69    X_test, num_segments_test = get_segments_from_section(X_test_full)70    71    return X_test, y_test, num_segments_test, label2id72def load_20newsgroup_segments(directory, max_length=512, size_segment=200, size_shift=50):73    X_train_full, y_train, X_test_full, y_test, label2id = _load_20newsgroup(directory, max_length=max_length)74    def get_segments(sentence):75        list_segments = []76        lenght_ = size_segment - size_shift77        tokens = sentence.split()78        num_tokens = len(tokens)79        num_segments = math.ceil(len(tokens) / lenght_)80        if num_tokens > lenght_:81            for i in range(0, num_tokens, lenght_):82                j = min(i+size_segment, num_tokens)83                list_segments.append(" ".join(tokens[i:j]))84        else:85                list_segments.append(sentence)    86        return list_segments, len(list_segments)87    def get_segments_from_section(sentences):88        list_segments = []89        list_num_segments = []90        for sentence in sentences:91            ls, ns = get_segments(sentence)92            list_segments += ls93            list_num_segments.append(ns)94        return list_segments, list_num_segments95    X_train, num_segments_train = get_segments_from_section(X_train_full)96    X_test, num_segments_test = get_segments_from_section(X_test_full)97    98    return X_train, y_train, num_segments_train, X_test, y_test, num_segments_test, label2id99def generate_dataset_20newsgroup_segments(X, Y, num_segments, tokenizer, pad_to_max_length=True, add_special_tokens=True, max_length=200, return_attention_mask=True, 100    return_tensors='pt'):101    tokens = tokenizer.batch_encode_plus(102        X, 103        pad_to_max_length=pad_to_max_length,104        add_special_tokens=add_special_tokens,105        max_length=max_length,106        return_attention_mask=return_attention_mask, # 0: padded tokens, 1: not padded tokens; taking into account the sequence length107        return_tensors="pt",108    )109    num_sentences = len(Y)110    max_segments = max(num_segments)111    input_ids = torch.zeros((num_sentences, max_segments, max_length), dtype=tokens["input_ids"].dtype)112    attention_mask = torch.zeros((num_sentences, max_segments, max_length), dtype=tokens["attention_mask"].dtype)113    token_type_ids = torch.zeros((num_sentences, max_segments, max_length), dtype=tokens["token_type_ids"].dtype)114    # pad_token = 0115    pos_segment = 0116    for idx_segment, n_segments in enumerate(num_segments):117        for n in range(n_segments):118            input_ids[idx_segment, n] = tokens["input_ids"][pos_segment]119            attention_mask[idx_segment, n] = tokens["attention_mask"][pos_segment]120            token_type_ids[idx_segment, n] = tokens["token_type_ids"][pos_segment]121            pos_segment += 1 122    dataset = TensorDataset(input_ids, attention_mask, token_type_ids, torch.tensor(num_segments), torch.tensor(Y))...

covering_segments.py

Source:covering_segments.py

1# Uses python32import sys3from collections import namedtuple4Segment = namedtuple('Segment', 'start end')5def optimal_points(segments):6    points = []7    list_segments = []8    #write your code here9    for s in segments:10        list_segments.append(s.start)11        list_segments.append(s.end)12    13    14    min_right = 10 ** 1015    position_min_right = 016    cont_segments = 017    i = 018    while i < len(list_segments) and (cont_segments < len(list_segments) / 2):19        for j in range(1, len(list_segments), 2):20            if min_right > list_segments[j]:21                min_right = list_segments[j]22                position_min_right = j23        points.append(min_right)24        for k in range(0, len(list_segments), 2):25            if list_segments[k] <= min_right and min_right <= list_segments[k + 1]:26                list_segments[k] = 10 ** 1027                list_segments[k + 1] = 10 ** 1028                cont_segments += 129        min_right = 10 ** 1030    return points31if __name__ == '__main__':32    input = sys.stdin.read()33    n, *data = map(int, input.split())34    segments = list(map(lambda x: Segment(x[0], x[1]), zip(data[::2], data[1::2])))35    points = optimal_points(segments)36    print(len(points))37    for p in points:...

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