Python pdb.set_trace方法代碼示例

# 需要導入模塊: import pdb [as 別名]
# 或者: from pdb import set_trace [as 別名]
def set_trace():
    """Call pdb.set_trace in the caller's frame.

    First restore sys.stdout and sys.stderr.  Note that the streams are
    NOT reset to whatever they were before the call once pdb is done!
    """
    import pdb
    for stream in 'stdout', 'stderr':
        output = getattr(sys, stream)
        orig_output = getattr(sys, '__%s__' % stream)
        if output != orig_output:
            # Flush the output before entering pdb
            if hasattr(output, 'getvalue'):
                orig_output.write(output.getvalue())
                orig_output.flush()
            setattr(sys, stream, orig_output)
    exc, tb = sys.exc_info()[1:]
    if tb:
        if isinstance(exc, AssertionError) and exc.args:
            # The traceback is not printed yet
            print_exc()
        pdb.post_mortem(tb)
    else:
        pdb.Pdb().set_trace(sys._getframe().f_back) 

# 需要導入模塊: import pdb [as 別名]
# 或者: from pdb import set_trace [as 別名]
def get_angle_diff(self, target, result):
        size = target.size()
        sequence_length = size[1]
        all_averages = np.zeros((sequence_length)).astype(np.float)
        for seq_id in range(sequence_length):
            average = AverageMeter()
            for batch_id in range(size[0]):
                for imu_id in range(size[2]):
                    goal = Quaternion(target[batch_id, seq_id, imu_id])
                    out = Quaternion(result[batch_id, seq_id, imu_id])
                    acos = (2 * (np.dot(out.normalised.q, goal.normalised.q)**2)
                            - 1)
                    acos = round(acos, 6)
                    if acos > 1 or acos < -1:
                        pdb.set_trace()
                    radian = math.acos(acos)
                    average.update(radian)

            all_averages[seq_id] = (average.avg)

        return all_averages 

# 需要導入模塊: import pdb [as 別名]
# 或者: from pdb import set_trace [as 別名]
def choose_dimension(partition):
    """
    choose dim with largest norm_width from all attributes.
    This function can be upgraded with other distance function.
    """
    max_width = -1
    max_dim = -1
    for dim in range(QI_LEN):
        if partition.allow[dim] == 0:
            continue
        norm_width = get_normalized_width(partition, dim)
        if norm_width > max_width:
            max_width = norm_width
            max_dim = dim
    if max_width > 1:
        pdb.set_trace()
    return max_dim 

# 需要導入模塊: import pdb [as 別名]
# 或者: from pdb import set_trace [as 別名]
def rebalance_portfolio(context, data, weights):    
    
    desired_amount = np.zeros(np.shape(weights))
    current_amount = np.zeros(np.shape(weights))        
    prices = np.zeros(np.shape(weights))

    if context.init:
        positions_value = context.portfolio.starting_cash
    else:
        #total cash
        positions_value = context.portfolio.positions_value + context.portfolio.cash
    
    for i, stock in enumerate(context.stocks):
        current_amount[i] = context.portfolio.positions[stock].amount  #shares
        prices[i] = data[stock]['price'] #share price            

    context.prev_weights = weights
    desired_amount = np.round(weights * positions_value / prices)    #shares    
    diff_amount = desired_amount - current_amount

    #pdb.set_trace()        
    for i, sid in enumerate(context.sids):
        order(sid, +diff_amount[i]) 

# 需要導入模塊: import pdb [as 別名]
# 或者: from pdb import set_trace [as 別名]
def obb_hybrid_NMS(thresh_obb, dets, thresh_hbb=0.5):
    """
    do nms on obbs by 1. corresponding hbbs on relative high thresh 2. then nms by obbs on obbs
    :param dets:
    :param thresh:
    :return:
    """
    # pdb.set_trace()
    h_dets = bbox_poly2hbb(dets)
    h_keep = py_cpu_nms(h_dets, thresh_hbb)

    h_keep = np.array(h_keep)

    keeped_o_dets = dets[h_keep, :]
    o_keep = py_cpu_nms_poly_fast(keeped_o_dets, thresh_obb)

    final_keep = h_keep[o_keep]

    return final_keep 

# 需要導入模塊: import pdb [as 別名]
# 或者: from pdb import set_trace [as 別名]
def bbox_poly2hbb(boxes):
    """
    with label
    :param boxes: (x1, y1, ... x4, y4, score) [n, 9]
    :return: hbb: (xmin, ymin, xmax, ymax, score) [n, 5]
    """
    n = boxes.shape[0]
    hbbs = np.zeros((n, 4))

    xs = np.reshape(boxes[:, : -1], (n, 4, 2))[:, :, 0]
    ys = np.reshape(boxes[:, : -1], (n, 4, 2))[:, :, 1]
    # pdb.set_trace()
    hbbs[:, 0] = np.min(xs, axis=1)
    hbbs[:, 1] = np.min(ys, axis=1)
    hbbs[:, 2] = np.max(xs, axis=1)
    hbbs[:, 3] = np.max(ys, axis=1)
    hbbs = np.hstack((hbbs, boxes[:, -1, np.newaxis]))
    return hbbs 

# 需要導入模塊: import pdb [as 別名]
# 或者: from pdb import set_trace [as 別名]
def best_match_dbbox2delta(Rrois, gt, means = [0, 0, 0, 0, 0], stds=[1, 1, 1, 1, 1]):
    """
    :param Rrois: (x_ctr, y_ctr, w, h, angle)
            shape (n, 5)
    :param gt: (x_ctr, y_ctr, w, h, angle)
    :param means:
    :param stds:
    :return: encoded targets: shape (n, 5)
    """
    # TODO: for comparision, dot not change the regression range for angle in 2 stage currently
    #  This is a simplified version
    # TODO: preprocess angle of gt_boxes according to the catogeries
    # Here, use a choose beste match angle, similar to choose best point instead
    gt_boxes_new = choose_best_match_batch(Rrois, gt)
    try:
        assert np.all(Rrois.cpu().numpy()[:, 4] <= (np.pi + 0.001))
    except:
        import pdb
        pdb.set_trace()
    bbox_targets = dbbox2delta_v2(Rrois, gt_boxes_new, means, stds)

    return bbox_targets

# TODO: check the negative situation of flip 

# 需要導入模塊: import pdb [as 別名]
# 或者: from pdb import set_trace [as 別名]
def get_best_begin_point(coordinate_list):
    best_coordinate_list = map(get_best_begin_point_warp_single, coordinate_list)
    # import pdb
    # pdb.set_trace()
    best_coordinate_list = np.stack(list(best_coordinate_list))

    return best_coordinate_list

# def polygonToRotRectangle(polys):
#     """
#     pytorch version, batch operation
#     :param polys: The polygon stored in format [x1, y1, x2, y2, x3, y3, x4, y4]
#             shape [num_boxes, 8]
#     :return: Rotated Rectangle in format [cx, cy, w, h, theta]
#             shape [num_rot_recs, 5]
#     """
#     polys = polys.view(-1, 4, 2) 

# 需要導入模塊: import pdb [as 別名]
# 或者: from pdb import set_trace [as 別名]
def xy2wh_c(boxes):
    """

    :param boxes: (xmin, ymin, xmax, ymax) (n, 4 * #C)
    :return: out_boxes: (x_ctr, y_ctr, w, h) (n, 4 * #C)
    """
    num_boxes = boxes.size(0)
    out_boxes = boxes.clone()
    ex_widths = boxes[..., 2::4] - boxes[..., 0::4] + 1.0
    ex_heights = boxes[..., 3::4] - boxes[..., 1::4] + 1.0
    ex_ctr_x = boxes[..., 0::4] + 0.5 * (ex_widths - 1.0)
    ex_ctr_y = boxes[..., 1::4] + 0.5 * (ex_heights - 1.0)
    # import pdb; pdb.set_trace()
    out_boxes[..., 2::4] = ex_widths
    out_boxes[..., 3::4] = ex_heights
    out_boxes[..., 0::4] = ex_ctr_x
    out_boxes[..., 1::4] = ex_ctr_y

    return out_boxes 

# 需要導入模塊: import pdb [as 別名]
# 或者: from pdb import set_trace [as 別名]
def setBreak(self,breakFlag = True):
        """Method to invoke the Python pdb debugger when this element is
           about to be parsed. Set C{breakFlag} to True to enable, False to
           disable.
        """
        if breakFlag:
            _parseMethod = self._parse
            def breaker(instring, loc, doActions=True, callPreParse=True):
                import pdb
                pdb.set_trace()
                return _parseMethod( instring, loc, doActions, callPreParse )
            breaker._originalParseMethod = _parseMethod
            self._parse = breaker
        else:
            if hasattr(self._parse,"_originalParseMethod"):
                self._parse = self._parse._originalParseMethod
        return self 

# 需要導入模塊: import pdb [as 別名]
# 或者: from pdb import set_trace [as 別名]
def exec_expr(self, s):
        out = StringIO()
        exec_lock.acquire()
        save_stdout = sys.stdout
        try:
            debugger = _OutputRedirectingPdb(save_stdout)
            debugger.reset()
            pdb.set_trace = debugger.set_trace
            sys.stdout = out
            try:
                code = compile(s, '<web>', "single", 0, 1)
                exec code in self.namespace, self.globs
                debugger.set_continue()
            except KeyboardInterrupt:
                raise
            except:
                traceback.print_exc(file=out)
                debugger.set_continue()
        finally:
            sys.stdout = save_stdout
            exec_lock.release()
        return out.getvalue()

# From doctest 

# 需要導入模塊: import pdb [as 別名]
# 或者: from pdb import set_trace [as 別名]
def visit_if(self, if_):
        # Select which of the conditional_blocks are valid. Choose the first one
        # which evaluates to non zero.
        for block in if_.conditional_blocks:
            # First expand all the macros in the condition.
            conditional_expression = self._macro_expander.expand(
                block.conditional_expression, eval_mode=True)

            expression = self._expression_parser.parse(conditional_expression)

            try:
                # Choose the block if the evaluator returns truth.
                if self._expression_evaluator.evaluate(expression):
                    return block.accept(self)
            except c_ast.IrreducibleFunction as e:
                print("Unable to evaluate conditional_expression: %s"
                      % block.conditional_expression)
                print("Expanded to: %s"
                      % conditional_expression)
                print("Error: %s" % e)
                import pdb
                pdb.set_trace() 

# 需要導入模塊: import pdb [as 別名]
# 或者: from pdb import set_trace [as 別名]
def start_x(a, b):
    from pdb import Pdb
    import os
    from pty import openpty

    (master, slave) = openpty()
    cmd = "rxvt -pty-fd {} &".format(master)
    os.system(cmd)
    io = os.fdopen(slave, "r+b")
    Pdb(stdin=io, stdout=io).set_trace()


# set a handler on SIGUSR1. NB although all the above shoudln't really
# work as signal handlers, because they call system calls which you are
# not supposed to use in a handler, these are okay because in fact
# python is handling the signal in C then interpreting these 'handlers'
# outside the handler.

# To use: pydebug.patch_handler(pydebug.start_x) 

# 需要導入模塊: import pdb [as 別名]
# 或者: from pdb import set_trace [as 別名]
def waccuracy(output, batch, *args, **kwargs):
    indices, (sentence, ), (label, ) = batch
    output, attn = output
    index = label
    src = Var(torch.ones(label.size()))
    
    acc_nomin = Var(torch.zeros(output.size(1)))
    acc_denom = Var(torch.ones(output.size(1)))

    acc_denom.scatter_add_(0, index, (label == label).float() )
    acc_nomin.scatter_add_(0, index, (label == output.max(1)[1]).float())

    accuracy = acc_nomin / acc_denom

    #pdb.set_trace()
    return accuracy.mean() 

# 需要導入模塊: import pdb [as 別名]
# 或者: from pdb import set_trace [as 別名]
def parse_1(self, response):
        info('Parse '+response.url)
        #sel = Selector(response)
        #v = sel.css('.gs_ggs a::attr(href)').extract()
        #import pdb; pdb.set_trace()
        x = self.parse_with_rules(response, self.list_css_rules, dict)
        items = []
        if len(x) > 0:
            items = x[0]['.gs_r']
            pp.pprint(items)
        import pdb; pdb.set_trace()
        # return self.parse_with_rules(response, self.css_rules, googlescholarItem)

        for item in items:
            if item['related-url'] == '' or item['related-type'] != '[PDF]':
                continue
            url = item['related-url']
            info('pdf-url: ' + url)
            yield Request(url, callback=self.save_pdf)