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How to use _total_index method in autotest

Best Python code snippet using autotest_python

nodeiterator.py

Source:nodeiterator.py

1import base642import hashlib3import json4import os5from contextlib import contextmanager6from datetime import datetime, timedelta7from lzma import LZMAError8from typing import Any, Callable, Dict, Iterable, Iterator, NamedTuple, Optional, Tuple, TypeVar9from .exceptions import AbortDownloadException, InvalidArgumentException, QueryReturnedBadRequestException10from .instaloadercontext import InstaloaderContext11FrozenNodeIterator = NamedTuple('FrozenNodeIterator',12                                [('query_hash', str),13                                 ('query_variables', Dict),14                                 ('query_referer', Optional[str]),15                                 ('context_username', Optional[str]),16                                 ('total_index', int),17                                 ('best_before', Optional[float]),18                                 ('remaining_data', Optional[Dict]),19                                 ('first_node', Optional[Dict])])20FrozenNodeIterator.query_hash.__doc__ = """The GraphQL ``query_hash`` parameter."""21FrozenNodeIterator.query_variables.__doc__ = """The GraphQL ``query_variables`` parameter."""22FrozenNodeIterator.query_referer.__doc__ = """The HTTP referer used for the GraphQL query."""23FrozenNodeIterator.context_username.__doc__ = """The username who created the iterator, or ``None``."""24FrozenNodeIterator.total_index.__doc__ = """Number of items that have already been returned."""25FrozenNodeIterator.best_before.__doc__ = """Date when parts of the stored nodes might have expired."""26FrozenNodeIterator.remaining_data.__doc__ = \27    """The already-retrieved, yet-unprocessed ``edges`` and the ``page_info`` at time of freezing."""28FrozenNodeIterator.first_node.__doc__ = """Node data of the first item, if an item has been produced."""29T = TypeVar('T')30class NodeIterator(Iterator[T]):31    """32    Iterate the nodes within edges in a GraphQL pagination. Instances of this class are returned by many (but not all)33    of Instaloader's :class:`Post`-returning functions (such as :meth:`Profile.get_posts` etc.).34    What makes this iterator special is its ability to freeze/store its current state, e.g. to interrupt an iteration,35    and later thaw/resume from where it left off.36    You can freeze a NodeIterator with :meth:`NodeIterator.freeze`::37       post_iterator = profile.get_posts()38       try:39           for post in post_iterator:40               do_something_with(post)41       except KeyboardInterrupt:42           save("resume_information.json", post_iterator.freeze())43    and later reuse it with :meth:`NodeIterator.thaw` on an equally-constructed NodeIterator::44       post_iterator = profile.get_posts()45       post_iterator.thaw(load("resume_information.json"))46    (an appropriate method to load and save the :class:`FrozenNodeIterator` is e.g.47    :func:`load_structure_from_file` and :func:`save_structure_to_file`.)48    A :class:`FrozenNodeIterator` can only be thawn with a matching NodeIterator, i.e. a NodeIterator instance that has49    been constructed with the same parameters as the instance that is represented by the :class:`FrozenNodeIterator` in50    question. This is to ensure that an iteration cannot be resumed in a wrong, unmatching loop. As a quick way to51    distinguish iterators that are saved e.g. in files, there is the :attr:`NodeIterator.magic` string: Two52    NodeIterators are matching if and only if they have the same magic.53    See also :func:`resumable_iteration` for a high-level context manager that handles a resumable iteration.54    """55    _graphql_page_length = 5056    _shelf_life = timedelta(days=29)57    def __init__(self,58                 context: InstaloaderContext,59                 query_hash: str,60                 edge_extractor: Callable[[Dict[str, Any]], Dict[str, Any]],61                 node_wrapper: Callable[[Dict], T],62                 query_variables: Optional[Dict[str, Any]] = None,63                 query_referer: Optional[str] = None,64                 first_data: Optional[Dict[str, Any]] = None):65        self._context = context66        self._query_hash = query_hash67        self._edge_extractor = edge_extractor68        self._node_wrapper = node_wrapper69        self._query_variables = query_variables if query_variables is not None else {}70        self._query_referer = query_referer71        self._page_index = 072        self._total_index = 073        if first_data is not None:74            self._data = first_data75            self._best_before = datetime.now() + NodeIterator._shelf_life76        else:77            self._data = self._query()78        self._first_node: Optional[Dict] = None79    def _query(self, after: Optional[str] = None) -> Dict:80        pagination_variables = {'first': NodeIterator._graphql_page_length}  # type: Dict[str, Any]81        if after is not None:82            pagination_variables['after'] = after83        try:84            data = self._edge_extractor(85                self._context.graphql_query(86                    self._query_hash, {**self._query_variables, **pagination_variables}, self._query_referer87                )88            )89            self._best_before = datetime.now() + NodeIterator._shelf_life90            return data91        except QueryReturnedBadRequestException:92            new_page_length = int(NodeIterator._graphql_page_length / 2)93            if new_page_length >= 12:94                NodeIterator._graphql_page_length = new_page_length95                self._context.error("HTTP Error 400 (Bad Request) on GraphQL Query. Retrying with shorter page length.",96                                    repeat_at_end=False)97                return self._query(after)98            else:99                raise100    def __iter__(self):101        return self102    def __next__(self) -> T:103        if self._page_index < len(self._data['edges']):104            node = self._data['edges'][self._page_index]['node']105            page_index, total_index = self._page_index, self._total_index106            try:107                self._page_index += 1108                self._total_index += 1109            except KeyboardInterrupt:110                self._page_index, self._total_index = page_index, total_index111                raise112            item = self._node_wrapper(node)113            if self._first_node is None:114                self._first_node = node115            return item116        if self._data['page_info']['has_next_page']:117            query_response = self._query(self._data['page_info']['end_cursor'])118            if self._data['edges'] != query_response['edges']:119                page_index, data = self._page_index, self._data120                try:121                    self._page_index = 0122                    self._data = query_response123                except KeyboardInterrupt:124                    self._page_index, self._data = page_index, data125                    raise126                return self.__next__()127        raise StopIteration()128    @property129    def count(self) -> Optional[int]:130        """The ``count`` as returned by Instagram. This is not always the total count this iterator will yield."""131        return self._data.get('count') if self._data is not None else None132    @property133    def total_index(self) -> int:134        """Number of items that have already been returned."""135        return self._total_index136    @property137    def magic(self) -> str:138        """Magic string for easily identifying a matching iterator file for resuming (hash of some parameters)."""139        magic_hash = hashlib.blake2b(digest_size=6)140        magic_hash.update(json.dumps(141            [self._query_hash, self._query_variables, self._query_referer, self._context.username]142        ).encode())143        return base64.urlsafe_b64encode(magic_hash.digest()).decode()144    @property145    def first_item(self) -> Optional[T]:146        """147        If this iterator has produced any items, returns the first item produced.148        .. versionadded:: 4.8149        """150        return self._node_wrapper(self._first_node) if self._first_node is not None else None151    def freeze(self) -> FrozenNodeIterator:152        """Freeze the iterator for later resuming."""153        remaining_data = None154        if self._data is not None:155            remaining_data = {**self._data,156                              'edges': (self._data['edges'][(max(self._page_index - 1, 0)):])}157        return FrozenNodeIterator(158            query_hash=self._query_hash,159            query_variables=self._query_variables,160            query_referer=self._query_referer,161            context_username=self._context.username,162            total_index=max(self.total_index - 1, 0),163            best_before=self._best_before.timestamp() if self._best_before else None,164            remaining_data=remaining_data,165            first_node=self._first_node,166        )167    def thaw(self, frozen: FrozenNodeIterator) -> None:168        """169        Use this iterator for resuming from earlier iteration.170        :raises InvalidArgumentException:171           If172           - the iterator on which this method is called has already been used, or173           - the given :class:`FrozenNodeIterator` does not match, i.e. belongs to a different iteration.174        """175        if self._total_index or self._page_index:176            raise InvalidArgumentException("thaw() called on already-used iterator.")177        if (self._query_hash != frozen.query_hash or178                self._query_variables != frozen.query_variables or179                self._query_referer != frozen.query_referer or180                self._context.username != frozen.context_username):181            raise InvalidArgumentException("Mismatching resume information.")182        if not frozen.best_before:183            raise InvalidArgumentException("\"best before\" date missing.")184        if frozen.remaining_data is None:185            raise InvalidArgumentException("\"remaining_data\" missing.")186        self._total_index = frozen.total_index187        self._best_before = datetime.fromtimestamp(frozen.best_before)188        self._data = frozen.remaining_data189        if frozen.first_node is not None:190            self._first_node = frozen.first_node191@contextmanager192def resumable_iteration(context: InstaloaderContext,193                        iterator: Iterable,194                        load: Callable[[InstaloaderContext, str], Any],195                        save: Callable[[FrozenNodeIterator, str], None],196                        format_path: Callable[[str], str],197                        check_bbd: bool = True,198                        enabled: bool = True) -> Iterator[Tuple[bool, int]]:199    """200    High-level context manager to handle a resumable iteration that can be interrupted201    with a :class:`KeyboardInterrupt` or an :class:`AbortDownloadException`.202    It can be used as follows to automatically load a previously-saved state into the iterator, save the iterator's203    state when interrupted, and delete the resume file upon completion::204       post_iterator = profile.get_posts()205       with resumable_iteration(206               context=L.context,207               iterator=post_iterator,208               load=lambda _, path: FrozenNodeIterator(**json.load(open(path))),209               save=lambda fni, path: json.dump(fni._asdict(), open(path, 'w')),210               format_path=lambda magic: "resume_info_{}.json".format(magic)211       ) as (is_resuming, start_index):212           for post in post_iterator:213               do_something_with(post)214    It yields a tuple (is_resuming, start_index).215    When the passed iterator is not a :class:`NodeIterator`, it behaves as if ``resumable_iteration`` was not used,216    just executing the inner body.217    :param context: The :class:`InstaloaderContext`.218    :param iterator: The fresh :class:`NodeIterator`.219    :param load: Loads a FrozenNodeIterator from given path. The object is ignored if it has a different type.220    :param save: Saves the given FrozenNodeIterator to the given path.221    :param format_path: Returns the path to the resume file for the given magic.222    :param check_bbd: Whether to check the best before date and reject an expired FrozenNodeIterator.223    :param enabled: Set to False to disable all functionality and simply execute the inner body.224    .. versionchanged:: 4.7225       Also interrupt on :class:`AbortDownloadException`.226    """227    if not enabled or not isinstance(iterator, NodeIterator):228        yield False, 0229        return230    is_resuming = False231    start_index = 0232    resume_file_path = format_path(iterator.magic)233    resume_file_exists = os.path.isfile(resume_file_path)234    if resume_file_exists:235        try:236            fni = load(context, resume_file_path)237            if not isinstance(fni, FrozenNodeIterator):238                raise InvalidArgumentException("Invalid type.")239            if check_bbd and fni.best_before and datetime.fromtimestamp(fni.best_before) < datetime.now():240                raise InvalidArgumentException("\"Best before\" date exceeded.")241            iterator.thaw(fni)242            is_resuming = True243            start_index = iterator.total_index244            context.log("Resuming from {}.".format(resume_file_path))245        except (InvalidArgumentException, LZMAError, json.decoder.JSONDecodeError) as exc:246            context.error("Warning: Not resuming from {}: {}".format(resume_file_path, exc))247    try:248        yield is_resuming, start_index249    except (KeyboardInterrupt, AbortDownloadException):250        if os.path.dirname(resume_file_path):251            os.makedirs(os.path.dirname(resume_file_path), exist_ok=True)252        save(iterator.freeze(), resume_file_path)253        context.log("\nSaved resume information to {}.".format(resume_file_path))254        raise255    if resume_file_exists:256        os.unlink(resume_file_path)...

test_testpoint.py

Source:test_testpoint.py

1# ctrl -j new line and indent2# ctrl-c ctrl-j3# longlines-mode45import unittest678class Serial:9    def __init__(self, values):10        self.values= values11        self._index=012    def read(self,num):13        v=self.values[self._index:self._index+num]14        self._index+=num15        return v1617class TestPoint:18    def __init__(self, serial, pace):19        self.serial= serial20        self.pace = pace21        self.bind=022        self._total_index=052324    def next1(self):25        self.buffer=self.serial.read(self.pace)26        v=self.buffer[0]27        self._total_index=028        return self._next(v)29    3031    def next2(self):32        self.bind=033        self.buffer=self.serial.read(self.pace)34        self._total_index+=self.pace35        v=self.buffer[self.bind]36        return self._next(v)3738    def _next(self,v):39        isMarker=(self.bind%5)==040        return (v,isMarker)41    42class Test(unittest.TestCase):43    def test1(self):44        self.assertEquals(1,1)4546    def test_same(self):47                     #!0 1 2 3 4!5 6 748        serial=Serial([1,1,1,1,1,1,1,1])49        tp=TestPoint(serial,pace=5)50        self.assertEquals((1,True),tp.next1())5152        self.assertEquals((1,True),tp.next2())53        self.assertEquals(5, tp._total_index)54        55        5657if __name__=='__main__':
...

mean_data_point.py

Source:mean_data_point.py

1import numpy as np2class MeanDataPoint:3    def __init__(self, mean_size_: int = None):4        # mean filter5        default_ = 56        self._mean_size = mean_size_ if mean_size_ is not None else default_7        8        # data collection9        self._data_collect = np.empty(self._mean_size, dtype=object)10        self._total_index = 011        self._cur_index = 012    13    def set_mean_size(self, mean_size_: int):14        self._mean_size = mean_size_15    def push_raw_data(self, raw_dat_):16        # update data collection17        if self._data_collect.size < self._mean_size:18            np.append(self._data_collect, raw_dat_)19        else:20            self._data_collect[self._cur_index] = raw_dat_21        # update index22        self._total_index += 123        self._cur_index = self._total_index % self._mean_size24    def get_filter_value(self) -> float:25        mean_ = None26        range_index_ = self._mean_size27        if self._total_index < self._mean_size:28            range_index_ = self._total_index29        if range_index_ > 0:30            mean_ = np.mean(self._data_collect[:range_index_])31        return mean_...

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