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How to use find_option method in lettuce_webdriver

Best Python code snippet using lettuce_webdriver_python

configs.py

Source:configs.py

...223        print("parse_blocks_into_model: Error on layer idx", layer_idx, ": Unrecognized block type:", block_type)224    return parsed_layer, out_channels225##### BLOCK PARSING #####226# find_option227def find_option(block, key, type, default, loud=False, layer_name=None, layer_idx=-1):228    """229    ----------230    Author: Damon Gwinn (gwinndr)231    ----------232    - Finds the option specified by key and sets the value according to type233    - If option not found, uses default234    - If default is used and loud is True, prints that the default is being used235    - layer_name (str) and layer_idx (int) further specify layer details when printing with loud236    ----------237    """238    if(key in block.keys()):239        val = block[key]240    else:241        val = default242        if(loud):243            if(layer_name is None):244                label = ""245            else:246                label = "%s at idx %d:" % (layer_name, layer_idx)247            print(label, "Using default:", default, "for key:", key)248    if(val is not None):249        val = type(val)250    return val251# find_option_list252def find_option_list(block, key, type, default, loud=False, layer_name=None, layer_idx=-1):253    """254    ----------255    Author: Damon Gwinn (gwinndr)256    ----------257    - Finds the option specified by key and creates a list of values according to type258    - Value is parsed according to a ','. Default is assumed to be a list.259    - If option not found, uses default260    - If default is used and loud is True, prints that the default is being used261    - layer_name (str) and layer_idx (int) further specify layer details when printing with loud262    ----------263    """264    if(key in block.keys()):265        val = block[key]266        val = val.split(",")267        val = [s.strip() for s in val]268    else:269        val = default270        if(loud):271            if(layer_name is None):272                label = ""273            else:274                label = "%s at idx %d:" % (layer_name, layer_idx)275            print(label, "Using default:", default, "for key:", key)276    if(val is not None):277        val = [type(v) for v in val]278    return val279# parse_net_block280def parse_net_block(block):281    """282    ----------283    Author: Damon Gwinn (gwinndr)284    ----------285    - Parses network block into a NetBlock286    ----------287    """288    layer_name = "NetworkBlock"289    layer_idx = -1290    batch = find_option(block, "batch", int, NET_BATCH_DEF, loud=True, layer_name=layer_name, layer_idx=layer_idx)291    subdiv = find_option(block, "subdivisions", int, NET_SUBDIV_DEF, loud=True, layer_name=layer_name, layer_idx=layer_idx)292    width = find_option(block, "width", int, NET_W_DEF, loud=True, layer_name=layer_name, layer_idx=layer_idx)293    height = find_option(block, "height", int, NET_H_DEF, loud=True, layer_name=layer_name, layer_idx=layer_idx)294    channels = find_option(block, "channels", int, NET_CH_DEF, loud=True, layer_name=layer_name, layer_idx=layer_idx)295    momentum = find_option(block, "momentum", float, NET_MOMEN_DEF)296    decay = find_option(block, "decay", float, NET_DECAY_DEF)297    angle = find_option(block, "angle", float, NET_ANG_DEF)298    saturation = find_option(block, "saturation", float, NET_SATUR_DEF)299    exposure = find_option(block, "exposure", float, NET_EXPOS_DEF)300    hue = find_option(block, "hue", float, NET_HUE_DEF)301    flip = find_option(block, "flip", int, NET_FLIP_DEF);302    lr = find_option(block, "learning_rate", float, NET_LR_DEF, loud=True, layer_name=layer_name, layer_idx=layer_idx)303    burn_in = find_option(block, "burn_in", int, NET_BURN_DEF)304    power = find_option(block, "power", float, NET_POW_DEF)305    max_batches = find_option(block, "max_batches", int, NET_MAX_BAT_DEF, loud=True, layer_name=layer_name, layer_idx=layer_idx)306    policy = find_option(block, "policy", str, NET_POL_DEF, loud=True, layer_name=layer_name, layer_idx=layer_idx)307    steps = find_option_list(block, "steps", int, NET_STEP_DEF)308    scales = find_option_list(block, "scales", float, NET_SCALE_DEF)309    mosaic = find_option(block, "mosaic", int, NET_MOSAIC_DEF)310    resize_step = find_option(block, "resize_step", int, NET_RESIZE_STEP_DEF)311    net_block = NetBlock(312        batch=batch, subdivisions=subdiv, width=width, height=height, channels=channels,313        momentum=momentum, decay=decay, angle=angle, saturation=saturation, exposure=exposure,314        hue=hue, flip=flip, lr=lr, burn_in=burn_in, power=power, max_batches=max_batches,315        policy=policy, steps=steps, scales=scales, mosaic=mosaic, resize_step=resize_step316    )317    return net_block318# parse_convolutional_block319def parse_convolutional_block(block, in_channels, layer_idx):320    """321    ----------322    Author: Damon Gwinn (gwinndr)323    ----------324    - Parses convolutional block into a ConvolutionalLayer325    ----------326    """327    layer_name = "ConvolutionalLayer"328    filters = find_option(block, "filters", int, CONV_FILT_DEF, loud=True, layer_name=layer_name, layer_idx=layer_idx)329    size = find_option(block, "size", int, CONV_SIZE_DEF, loud=True, layer_name=layer_name, layer_idx=layer_idx)330    stride = find_option(block, "stride", int, CONV_STRIDE_DEF)331    batch_normalize = find_option(block, "batch_normalize", int, CONV_BN_DEF)332    pad = find_option(block, "pad", int, CONV_PAD_DEF)333    activation = find_option(block, "activation", str, CONV_ACTIV_DEF, loud=True, layer_name=layer_name, layer_idx=layer_idx)334    conv_layer = ConvolutionalLayer(335        in_channels, filters=filters, size=size, stride=stride, batch_normalize=batch_normalize,336        pad=pad, activation=activation337    )338    return conv_layer, filters339# parse_maxpool_block340def parse_maxpool_block(block, layer_idx):341    """342    ----------343    Author: Damon Gwinn (gwinndr)344    ----------345    - Parses maxpool block into a MaxpoolLayer346    ----------347    """348    layer_name = "MaxpoolLayer"349    size = find_option(block, "size", int, MAXPL_SIZE_DEF, loud=True, layer_name=layer_name, layer_idx=layer_idx)350    stride = find_option(block, "stride", int, MAXPL_STRIDE_DEF, loud=True, layer_name=layer_name, layer_idx=layer_idx)351    padding = find_option(block, "padding", int, default=size-1)352    maxpool_layer = MaxpoolLayer(size=size, stride=stride, padding=padding)353    return maxpool_layer354# parse_route_block355def parse_route_block(block, layer_output_channels, layer_idx):356    """357    ----------358    Author: Damon Gwinn (gwinndr)359    ----------360    - Parses route block into a RouteLayer361    - layer_output_channels should be a list containing all output channels up to this current layer362    ----------363    """364    layer_name = "RouteLayer"365    out_channels = 0366    layers = find_option_list(block, "layers", int, default=None)367    error_state = False368    # Validation369    if(layers is None):370        print("route: Error on layer_idx", layer_idx, ": Missing required 'layers' entry")371        error_state = True372    # Setting up RouteLayer373    if(not error_state):374        route_layer = RouteLayer(layers)375        for l in layers:376            out_channels += layer_output_channels[l]377    else:378        route_layer = None379    return route_layer, out_channels380# parse_shortcut_block381def parse_shortcut_block(block, layer_idx):382    """383    ----------384    Author: Damon Gwinn (gwinndr)385    ----------386    - Parses shortcut block into a ShortcutLayer387    ----------388    """389    layer_name = "ShortcutLayer"390    from_layer = find_option(block, "from", int, default=None)391    activation = find_option(block, "activation", str, SHCT_ACTIV_DEF)392    error_state = False393    # Validation394    if(from_layer is None):395        print("shortcut: Error on layer_idx", layer_idx, ": Missing required 'from' entry")396        error_state = True397    # Setting up ShortcutLayer398    if(not error_state):399        shortcut_layer = ShortcutLayer(from_layer, activation=activation)400    else:401        shortcut_layer = None402    return shortcut_layer403# parse_upsample_block404def parse_upsample_block(block, layer_idx):405    """406    ----------407    Author: Damon Gwinn (gwinndr)408    ----------409    - Parses upsample block into a UpsampleLayer410    ----------411    """412    layer_name = "UpsampleLayer"413    stride = find_option(block, "stride", int, UPSAMP_STRIDE_DEF)414    upsample_layer = UpsampleLayer(stride=stride)415    return upsample_layer416# parse_yolo_block417def parse_yolo_block(block, layer_idx):418    """419    ----------420    Author: Damon Gwinn (gwinndr)421    ----------422    - Parses yolo block into a YoloLayer423    ----------424    """425    layer_name = "YoloLayer"426    yolo_layer = None427    mask = find_option_list(block, "mask", int, default=None)428    anchors = find_option_list(block, "anchors", int, default=None)429    classes = find_option(block, "classes", int, YOLO_NCLS_DEF, loud=True, layer_name=layer_name, layer_idx=layer_idx)430    num = find_option(block, "num", int, YOLO_NUM_DEF, loud=True, layer_name=layer_name, layer_idx=layer_idx)431    jitter = find_option(block, "jitter", float, YOLO_JITTER_DEF)432    resize = find_option(block, "resize", float, YOLO_RESIZE_DEF)433    ignore_thresh = find_option(block, "ignore_thresh", float, YOLO_IGNORE_DEF, loud=True, layer_name=layer_name, layer_idx=layer_idx)434    truth_thresh = find_option(block, "truth_thresh", float, YOLO_TRUTH_DEF)435    random = find_option(block, "random", float, YOLO_RANDOM_DEF)436    scale_xy = find_option(block, "scale_x_y", float, YOLO_SCALEXY_DEF)437    iou_thresh = find_option(block, "iou_thresh", float, YOLO_IOU_THRESH_DEF)438    cls_norm = find_option(block, "cls_normalizer", float, YOLO_CLS_NORM_DEF)439    iou_norm = find_option(block, "iou_normalizer", float, YOLO_IOU_NORM_DEF)440    iou_loss = find_option(block, "iou_loss", str, YOLO_IOU_LOSS_DEF)441    nms_kind = find_option(block, "nms_kind", str, YOLO_NMS_KIND_DEF)442    beta_nms = find_option(block, "beta_nms", float, YOLO_BETA_NMS_DEF)443    max_delta = find_option(block, "max_delta", float, YOLO_MAX_DELTA_DEF)444    error_state = False445    # Validation446    if(mask is None):447        print("yolo: Error on layer_idx", layer_idx, ": Missing 'mask' entry")448        error_state = True449    if(anchors is None):450        print("yolo: Error on layer_idx", layer_idx, ": Missing 'anchors' entry")451        error_state = True452    # Validating anchors453    if(not error_state):454        if(len(anchors) % 2 != 0):455            print("yolo: Error on layer_idx", layer_idx, ": All anchors must have width and height")456            error_state = True457        else:...

config.py

Source:config.py

...13    def __init__(self, pytest_config):14        """Initialize required attributes."""15        self.rp_rerun = (pytest_config.option.rp_rerun or16                         pytest_config.getini('rp_rerun'))17        self.rp_endpoint = self.find_option(pytest_config, 'rp_endpoint')18        self.rp_hierarchy_code = self.find_option(pytest_config,19                                                  'rp_hierarchy_code')20        self.rp_dir_level = int(self.find_option(pytest_config,21                                                 'rp_hierarchy_dirs_level'))22        self.rp_hierarchy_dirs = self.find_option(pytest_config,23                                                  'rp_hierarchy_dirs')24        self.rp_dir_path_separator = \25            self.find_option(pytest_config, 'rp_hierarchy_dir_path_separator')26        ignore_attributes = self.find_option(pytest_config,27                                             'rp_ignore_attributes')28        self.rp_ignore_attributes = set(ignore_attributes) \29            if ignore_attributes else set()30        self.rp_is_skipped_an_issue = self.find_option(31            pytest_config,32            'rp_is_skipped_an_issue'33        )34        self.rp_issue_id_marks = self.find_option(pytest_config,35                                                  'rp_issue_id_marks')36        self.rp_issue_system_url = self.find_option(pytest_config,37                                                    'rp_issue_system_url')38        self.rp_bts_project = self.find_option(pytest_config, 'rp_bts_project')39        self.rp_bts_url = self.find_option(pytest_config, 'rp_bts_url')40        self.rp_launch = self.find_option(pytest_config, 'rp_launch')41        self.rp_launch_id = self.find_option(pytest_config, 'rp_launch_id')42        self.rp_launch_attributes = self.find_option(pytest_config,43                                                     'rp_launch_attributes')44        self.rp_launch_description = self.find_option(pytest_config,45                                                      'rp_launch_description')46        self.rp_log_batch_size = int(self.find_option(pytest_config,47                                                      'rp_log_batch_size'))48        batch_payload_size = self.find_option(49            pytest_config, 'rp_log_batch_payload_size')50        if batch_payload_size:51            self.rp_log_batch_payload_size = int(batch_payload_size)52        else:53            self.rp_log_batch_payload_size = MAX_LOG_BATCH_PAYLOAD_SIZE54        self.rp_log_level = get_actual_log_level(pytest_config, 'rp_log_level')55        self.rp_log_format = self.find_option(pytest_config, 'rp_log_format')56        self.rp_mode = self.find_option(pytest_config, 'rp_mode')57        self.rp_parent_item_id = self.find_option(pytest_config,58                                                  'rp_parent_item_id')59        self.rp_project = self.find_option(pytest_config,60                                           'rp_project')61        self.rp_rerun_of = self.find_option(pytest_config,62                                            'rp_rerun_of')63        self.rp_retries = int(self.find_option(pytest_config,64                                               'retries'))65        self.rp_skip_connection_test = str(66            self.find_option(pytest_config,67                             'rp_skip_connection_test')).lower() in (68                                           'true', '1', 'yes', 'y')69        self.rp_uuid = getenv('RP_UUID') or self.find_option(pytest_config,70                                                             'rp_uuid')71        rp_verify_ssl = self.find_option(pytest_config, 'rp_verify_ssl', True)72        try:73            self.rp_verify_ssl = bool(strtobool(rp_verify_ssl))74        except (ValueError, AttributeError):75            self.rp_verify_ssl = rp_verify_ssl76    # noinspection PyMethodMayBeStatic77    def find_option(self, pytest_config, option_name, default=None):78        """79        Find a single configuration setting from multiple places.80        The value is retrieved in the following places in priority order:81        1. From `self.pconfig.option.[option_name]`.82        2. From `self.pconfig.getini(option_name)`.83        :param pytest_config: config object of PyTest84        :param option_name:   name of the option85        :param default:       value to be returned if not found86        :return: option value87        """88        value = (89                getattr(pytest_config.option, option_name, None) or90                pytest_config.getini(option_name)91        )...

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