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How to use attr_val method in localstack

Best Python code snippet using localstack_python

generate_tables.py

Source:generate_tables.py

1import os2import click3from tower_cli import get_resource4from tower_cli.cli import types5from collections import OrderedDict6try:7    unicode8except NameError:9    unicode = str10    basestring = str11ATTR_TO_SHOW = [12    'name',13    'type',14    'help_text',15    'read_only',16    'unique',17    'filterable',18    'required',19]20CLI_TYPE_MAPPING = {21    unicode: 'String',22    str: 'String',23    types.Related: (lambda x: 'Resource ' + str(getattr(x, 'resource_name', 'unknown'))),24    click.Choice: (lambda x: 'Choices: ' + ','.join(getattr(x, 'choices', [])))25}26def convert_type(attr_val):27    if attr_val in CLI_TYPE_MAPPING:28        return CLI_TYPE_MAPPING[attr_val] \29                if isinstance(CLI_TYPE_MAPPING[attr_val], str) \30                else CLI_TYPE_MAPPING[attr_val](attr_val)31    elif type(attr_val) in CLI_TYPE_MAPPING:32        return CLI_TYPE_MAPPING[type(attr_val)] \33                if isinstance(CLI_TYPE_MAPPING[type(attr_val)], str) \34                else CLI_TYPE_MAPPING[type(attr_val)](attr_val)35    try:36        return attr_val.__name__37    except Exception:38        return str(attr_val)39def convert_to_str(field, attr, attr_val):40    if attr == 'help_text' and not attr_val:41        return 'The %s field.' % field.name42    elif attr == 'type':43        return convert_type(attr_val)44    elif not isinstance(attr_val, basestring):45        if attr_val in (True, False, None):46            return str(attr_val)47        else:48            return 'TODO'49    return attr_val50def get_content(res_name):51    res = get_resource(res_name)52    content = OrderedDict()53    for field in res.fields:54        for attr in ATTR_TO_SHOW:55            content.setdefault(attr, [])56            attr_val = getattr(field, attr, 'N/A')57            attr_val = convert_to_str(field, attr, attr_val)58            content[attr].append(attr_val)59    return content60def render_table(content):61    delimiter = ['+']62    titles = ['|']63    values = []64    for attr_name in content:65        column_len = max(len(attr_name), max([len(x) for x in content[attr_name]])) + 166        delimiter.append('-' * column_len + '+')67        titles.append(attr_name + ' ' * (column_len - len(attr_name)) + '|')68        for i in range(len(content[attr_name])):69            val = content[attr_name][i]70            if len(values) <= i:71                values.append(['|'])72            values[i].append(val + ' ' * (column_len - len(val)) + '|')73    delimiter = ''.join(delimiter)74    titles = ''.join(titles)75    values = [''.join(x) for x in values]76    table = [delimiter]77    table.append(titles)78    table.append(delimiter.replace('-', '='))79    for val in values:80        table.append(val)81        table.append(delimiter)82    return '\n' + '\n'.join(table) + '\n\n'83def insert_table(rst_path, table):84    insert_checkpnt = '.. <table goes here>\n'85    with open(rst_path) as f:86        file_content = f.read()87        start = file_content.find(insert_checkpnt) + len(insert_checkpnt)88        end = file_content.rfind(insert_checkpnt)89    if start >= 0 and end >= 0:90        with open(rst_path, 'w') as f:91            f.write(file_content[: start] + table + file_content[end:])92def process_resource(res_name, rst_path):93    content = get_content(res_name)94    table = render_table(content)95    insert_table(rst_path, table)96def main():97    for root, dirs, files in os.walk('resources/'):98        for file_ in files:99            if not file_.endswith('.rst'):100                continue101            process_resource(file_[: -len('.rst')], os.path.join(root, file_))102if __name__ == '__main__':...

attr_parse.py

Source:attr_parse.py

1import datetime2import safrs3import sqlalchemy456def parse_attr(column, attr_val):7    """8    Parse the supplied `attr_val` so it can be saved in the SQLAlchemy `column`910    :param attr: SQLAlchemy column11    :param attr_val: jsonapi attribute value12    :return: processed value13    """14    if attr_val is None and column.default:15        attr_val = column.default.arg16        return attr_val1718    if attr_val is None:19        return attr_val2021    if getattr(column, "python_type", None):22        """23        It's possible for a column to specify a custom python_type to use for deserialization24        """25        attr_val = column.python_type(attr_val)2627    try:28        column.type.python_type29    except NotImplementedError as exc:30        """31        This happens when a custom type has been implemented, in which case the user/dev should know how to handle it:32        override this method and implement the parsing33        https://docs.python.org/2/library/exceptions.html#exceptions.NotImplementedError :34        In user defined base classes, abstract methods should raise this exception when they require derived classes to override the method.35        => simply return the attr_val for user-defined classes36        """37        safrs.log.debug(exc)38        return attr_val3940    # skip type coercion on JSON columns, since they could be anything41    if type(column.type) is sqlalchemy.sql.sqltypes.JSON:42        return attr_val4344    """45        Parse datetime and date values for some common representations46        If another format is used, the user should create a custom column type or custom serialization47    """48    if attr_val and column.type.python_type == datetime.datetime:49        date_str = str(attr_val)50        try:51            if "." in date_str:52                # str(datetime.datetime.now()) => "%Y-%m-%d %H:%M:%S.%f"53                attr_val = datetime.datetime.strptime(date_str, "%Y-%m-%d %H:%M:%S.%f")54            else:55                # JS datepicker format56                attr_val = datetime.datetime.strptime(date_str, "%Y-%m-%d %H:%M:%S")57        except (NotImplementedError, ValueError) as exc:58            safrs.log.warning('Invalid datetime.datetime {} for value "{}"'.format(exc, attr_val))59            attr_val = datetime.datetime.now()60    elif attr_val and column.type.python_type == datetime.date:61        try:62            attr_val = datetime.datetime.strptime(str(attr_val), "%Y-%m-%d")63        except (NotImplementedError, ValueError) as exc:64            safrs.log.warning('Invalid datetime.date {} for value "{}"'.format(exc, attr_val))65            attr_val = datetime.datetime.now()66    elif attr_val and column.type.python_type == datetime.time:  # pragma: no cover (todo)67        try:68            date_str = str(attr_val)69            if "." in date_str:70                # str(datetime.datetime.now()) => "%H:%M:%S.%f"71                attr_val = datetime.datetime.strptime(str(attr_val), "%H:%M:%S.%f").time()72            else:73                # JS datepicker format74                attr_val = datetime.datetime.strptime(str(attr_val), "%H:%M:%S").time()75        except (NotImplementedError, ValueError, TypeError) as exc:76            safrs.log.warning('Invalid datetime.time {} for value "{}"'.format(exc, attr_val))77            attr_val = column.type.python_type()78    else:79        attr_val = column.type.python_type(attr_val)80
...

dataset_ffhq.py

Source:dataset_ffhq.py

1from io import BytesIO2import lmdb3from PIL import Image4from torch.utils.data import Dataset5import numpy as np6from torchvision import utils, transforms7import torch8import os9class MultiResolutionDataset(Dataset):10    def __init__(self, path, transform, resolution, exp_setting):11        self.env = lmdb.open(12            path,13            max_readers=32,14            readonly=True,15            lock=False,16            readahead=False,17            meminit=False,18        )19        if not self.env:20            raise IOError('Cannot open lmdb dataset', path)21        self.resolution = resolution22        self.transform = transform23        self.distance_dir = './distances'24        self.exp_setting = exp_setting25        id_path = os.path.join(self.distance_dir, f'index_{self.exp_setting}.txt')26        self.id_list = np.loadtxt(id_path)27        self.length = len(self.id_list)28        self.attr_val = {}29        attr_dict = {attr_name: f'{attr_name}_LARGE.txt' for attr_name in ['age', 'pose', 'glasses', 'hairlong', 'haircolor', 'smile', 'gender']}30        for attr in attr_dict.keys():31            self.attr_val[attr] = np.loadtxt(os.path.join(self.distance_dir, attr_dict[attr]))32    def __len__(self):33        return self.length34    def __getitem__(self, index):35        raw_index = index36        index = int(self.id_list[index])37        with self.env.begin(write=False) as txn:38            key = f'{self.resolution}-{str(index).zfill(5)}'.encode('utf-8')39            img_bytes = txn.get(key)40        buffer = BytesIO(img_bytes)41        img = Image.open(buffer)42        img = self.transform(img)43        if self.exp_setting == 'glassessmileage':44            return img, index, self.attr_val['glasses'][index], self.attr_val['age'][index], self.attr_val['smile'][index]45        elif self.exp_setting == 'haircolorhairlonggender':46            return img, index, self.attr_val['haircolor'][index], self.attr_val['hairlong'][index], self.attr_val['gender'][index]47        elif self.exp_setting == 'glassesagepose':...

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