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values | path stringlengths 8 121 | func_name stringlengths 1 82 | original_string stringlengths 112 65.5k | language stringclasses 1
value | code stringlengths 112 65.5k | code_tokens listlengths 20 4.09k | docstring stringlengths 3 46.3k | docstring_tokens listlengths 1 564 | sha stringclasses 85
values | url stringlengths 93 218 | partition stringclasses 1
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aio-libs/aiohttp | aiohttp/multipart.py | MultipartResponseWrapper.next | async def next(self) -> Any:
"""Emits next multipart reader object."""
item = await self.stream.next()
if self.stream.at_eof():
await self.release()
return item | python | async def next(self) -> Any:
"""Emits next multipart reader object."""
item = await self.stream.next()
if self.stream.at_eof():
await self.release()
return item | [
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aio-libs/aiohttp | aiohttp/multipart.py | BodyPartReader.read | async def read(self, *, decode: bool=False) -> Any:
"""Reads body part data.
decode: Decodes data following by encoding
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"""
if self._at_eof:
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"""Reads body part data.
decode: Decodes data following by encoding
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"""
if self._at_eof:
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aio-libs/aiohttp | aiohttp/multipart.py | BodyPartReader.read_chunk | async def read_chunk(self, size: int=chunk_size) -> bytes:
"""Reads body part content chunk of the specified size.
size: chunk size
"""
if self._at_eof:
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if self._length:
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else:
... | python | async def read_chunk(self, size: int=chunk_size) -> bytes:
"""Reads body part content chunk of the specified size.
size: chunk size
"""
if self._at_eof:
return b''
if self._length:
chunk = await self._read_chunk_from_length(size)
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aio-libs/aiohttp | aiohttp/multipart.py | BodyPartReader.readline | async def readline(self) -> bytes:
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#... | python | async def readline(self) -> bytes:
"""Reads body part by line by line."""
if self._at_eof:
return b''
if self._unread:
line = self._unread.popleft()
else:
line = await self._content.readline()
if line.startswith(self._boundary):
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aio-libs/aiohttp | aiohttp/multipart.py | BodyPartReader.release | async def release(self) -> None:
"""Like read(), but reads all the data to the void."""
if self._at_eof:
return
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await self.read_chunk(self.chunk_size) | python | async def release(self) -> None:
"""Like read(), but reads all the data to the void."""
if self._at_eof:
return
while not self._at_eof:
await self.read_chunk(self.chunk_size) | [
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aio-libs/aiohttp | aiohttp/multipart.py | BodyPartReader.text | async def text(self, *, encoding: Optional[str]=None) -> str:
"""Like read(), but assumes that body part contains text data."""
data = await self.read(decode=True)
# see https://www.w3.org/TR/html5/forms.html#multipart/form-data-encoding-algorithm # NOQA
# and https://dvcs.w3.org/hg/xhr/... | python | async def text(self, *, encoding: Optional[str]=None) -> str:
"""Like read(), but assumes that body part contains text data."""
data = await self.read(decode=True)
# see https://www.w3.org/TR/html5/forms.html#multipart/form-data-encoding-algorithm # NOQA
# and https://dvcs.w3.org/hg/xhr/... | [
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aio-libs/aiohttp | aiohttp/multipart.py | BodyPartReader.json | async def json(self, *, encoding: Optional[str]=None) -> Any:
"""Like read(), but assumes that body parts contains JSON data."""
data = await self.read(decode=True)
if not data:
return None
encoding = encoding or self.get_charset(default='utf-8')
return json.loads(dat... | python | async def json(self, *, encoding: Optional[str]=None) -> Any:
"""Like read(), but assumes that body parts contains JSON data."""
data = await self.read(decode=True)
if not data:
return None
encoding = encoding or self.get_charset(default='utf-8')
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aio-libs/aiohttp | aiohttp/multipart.py | BodyPartReader.form | async def form(self, *,
encoding: Optional[str]=None) -> List[Tuple[str, str]]:
"""Like read(), but assumes that body parts contains form
urlencoded data.
"""
data = await self.read(decode=True)
if not data:
return []
if encoding is not None... | python | async def form(self, *,
encoding: Optional[str]=None) -> List[Tuple[str, str]]:
"""Like read(), but assumes that body parts contains form
urlencoded data.
"""
data = await self.read(decode=True)
if not data:
return []
if encoding is not None... | [
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aio-libs/aiohttp | aiohttp/multipart.py | BodyPartReader.decode | def decode(self, data: bytes) -> bytes:
"""Decodes data according the specified Content-Encoding
or Content-Transfer-Encoding headers value.
"""
if CONTENT_TRANSFER_ENCODING in self.headers:
data = self._decode_content_transfer(data)
if CONTENT_ENCODING in self.header... | python | def decode(self, data: bytes) -> bytes:
"""Decodes data according the specified Content-Encoding
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"""
if CONTENT_TRANSFER_ENCODING in self.headers:
data = self._decode_content_transfer(data)
if CONTENT_ENCODING in self.header... | [
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aio-libs/aiohttp | aiohttp/multipart.py | BodyPartReader.get_charset | def get_charset(self, default: str) -> str:
"""Returns charset parameter from Content-Type header or default."""
ctype = self.headers.get(CONTENT_TYPE, '')
mimetype = parse_mimetype(ctype)
return mimetype.parameters.get('charset', default) | python | def get_charset(self, default: str) -> str:
"""Returns charset parameter from Content-Type header or default."""
ctype = self.headers.get(CONTENT_TYPE, '')
mimetype = parse_mimetype(ctype)
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aio-libs/aiohttp | aiohttp/multipart.py | BodyPartReader.name | def name(self) -> Optional[str]:
"""Returns name specified in Content-Disposition header or None
if missed or header is malformed.
"""
_, params = parse_content_disposition(
self.headers.get(CONTENT_DISPOSITION))
return content_disposition_filename(params, 'name') | python | def name(self) -> Optional[str]:
"""Returns name specified in Content-Disposition header or None
if missed or header is malformed.
"""
_, params = parse_content_disposition(
self.headers.get(CONTENT_DISPOSITION))
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aio-libs/aiohttp | aiohttp/multipart.py | MultipartReader.from_response | def from_response(cls, response: 'ClientResponse') -> Any:
"""Constructs reader instance from HTTP response.
:param response: :class:`~aiohttp.client.ClientResponse` instance
"""
obj = cls.response_wrapper_cls(response, cls(response.headers,
... | python | def from_response(cls, response: 'ClientResponse') -> Any:
"""Constructs reader instance from HTTP response.
:param response: :class:`~aiohttp.client.ClientResponse` instance
"""
obj = cls.response_wrapper_cls(response, cls(response.headers,
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aio-libs/aiohttp | aiohttp/multipart.py | MultipartReader.next | async def next(self) -> Any:
"""Emits the next multipart body part."""
# So, if we're at BOF, we need to skip till the boundary.
if self._at_eof:
return
await self._maybe_release_last_part()
if self._at_bof:
await self._read_until_first_boundary()
... | python | async def next(self) -> Any:
"""Emits the next multipart body part."""
# So, if we're at BOF, we need to skip till the boundary.
if self._at_eof:
return
await self._maybe_release_last_part()
if self._at_bof:
await self._read_until_first_boundary()
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aio-libs/aiohttp | aiohttp/multipart.py | MultipartReader.release | async def release(self) -> None:
"""Reads all the body parts to the void till the final boundary."""
while not self._at_eof:
item = await self.next()
if item is None:
break
await item.release() | python | async def release(self) -> None:
"""Reads all the body parts to the void till the final boundary."""
while not self._at_eof:
item = await self.next()
if item is None:
break
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aio-libs/aiohttp | aiohttp/multipart.py | MultipartReader._get_part_reader | def _get_part_reader(self, headers: 'CIMultiDictProxy[str]') -> Any:
"""Dispatches the response by the `Content-Type` header, returning
suitable reader instance.
:param dict headers: Response headers
"""
ctype = headers.get(CONTENT_TYPE, '')
mimetype = parse_mimetype(cty... | python | def _get_part_reader(self, headers: 'CIMultiDictProxy[str]') -> Any:
"""Dispatches the response by the `Content-Type` header, returning
suitable reader instance.
:param dict headers: Response headers
"""
ctype = headers.get(CONTENT_TYPE, '')
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aio-libs/aiohttp | aiohttp/multipart.py | MultipartReader._maybe_release_last_part | async def _maybe_release_last_part(self) -> None:
"""Ensures that the last read body part is read completely."""
if self._last_part is not None:
if not self._last_part.at_eof():
await self._last_part.release()
self._unread.extend(self._last_part._unread)
... | python | async def _maybe_release_last_part(self) -> None:
"""Ensures that the last read body part is read completely."""
if self._last_part is not None:
if not self._last_part.at_eof():
await self._last_part.release()
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aio-libs/aiohttp | aiohttp/multipart.py | MultipartWriter._boundary_value | def _boundary_value(self) -> str:
"""Wrap boundary parameter value in quotes, if necessary.
Reads self.boundary and returns a unicode sting.
"""
# Refer to RFCs 7231, 7230, 5234.
#
# parameter = token "=" ( token / quoted-string )
# token = 1*tchar
... | python | def _boundary_value(self) -> str:
"""Wrap boundary parameter value in quotes, if necessary.
Reads self.boundary and returns a unicode sting.
"""
# Refer to RFCs 7231, 7230, 5234.
#
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# token = 1*tchar
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aio-libs/aiohttp | aiohttp/multipart.py | MultipartWriter.append_payload | def append_payload(self, payload: Payload) -> Payload:
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# compression
encoding = payload.headers.get(CONTENT_ENCODING, '').lower() # type: Optional[str] # noqa
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"""Adds a new body part to multipart writer."""
# compression
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aio-libs/aiohttp | aiohttp/multipart.py | MultipartWriter.append_json | def append_json(
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if headers is None:
headers = CIMultiDict()
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aio-libs/aiohttp | aiohttp/multipart.py | MultipartWriter.append_form | def append_form(
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aio-libs/aiohttp | aiohttp/multipart.py | MultipartWriter.size | def size(self) -> Optional[int]:
"""Size of the payload."""
if not self._parts:
return 0
total = 0
for part, encoding, te_encoding in self._parts:
if encoding or te_encoding or part.size is None:
return None
total += int(
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"""Size of the payload."""
if not self._parts:
return 0
total = 0
for part, encoding, te_encoding in self._parts:
if encoding or te_encoding or part.size is None:
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aio-libs/aiohttp | aiohttp/multipart.py | MultipartWriter.write | async def write(self, writer: Any,
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await writer.write(b'--' + self._boundary + b'\r\n')
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aio-libs/aiohttp | aiohttp/client_reqrep.py | ClientRequest.update_host | def update_host(self, url: URL) -> None:
"""Update destination host, port and connection type (ssl)."""
# get host/port
if not url.host:
raise InvalidURL(url)
# basic auth info
username, password = url.user, url.password
if username:
self.auth = h... | python | def update_host(self, url: URL) -> None:
"""Update destination host, port and connection type (ssl)."""
# get host/port
if not url.host:
raise InvalidURL(url)
# basic auth info
username, password = url.user, url.password
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aio-libs/aiohttp | aiohttp/client_reqrep.py | ClientRequest.update_version | def update_version(self, version: Union[http.HttpVersion, str]) -> None:
"""Convert request version to two elements tuple.
parser HTTP version '1.1' => (1, 1)
"""
if isinstance(version, str):
v = [l.strip() for l in version.split('.', 1)]
try:
ver... | python | def update_version(self, version: Union[http.HttpVersion, str]) -> None:
"""Convert request version to two elements tuple.
parser HTTP version '1.1' => (1, 1)
"""
if isinstance(version, str):
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aio-libs/aiohttp | aiohttp/client_reqrep.py | ClientRequest.update_headers | def update_headers(self, headers: Optional[LooseHeaders]) -> None:
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# add host
netloc = cast(str, self.url.raw_host)
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netloc = '[{}]'.format(netloc)... | python | def update_headers(self, headers: Optional[LooseHeaders]) -> None:
"""Update request headers."""
self.headers = CIMultiDict() # type: CIMultiDict[str]
# add host
netloc = cast(str, self.url.raw_host)
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aio-libs/aiohttp | aiohttp/client_reqrep.py | ClientRequest.update_cookies | def update_cookies(self, cookies: Optional[LooseCookies]) -> None:
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c = SimpleCookie()
if hdrs.COOKIE in self.headers:
c.load(self.headers.get(hdrs.COOKIE, ''))
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aio-libs/aiohttp | aiohttp/client_reqrep.py | ClientRequest.update_content_encoding | def update_content_encoding(self, data: Any) -> None:
"""Set request content encoding."""
if not data:
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if enc:
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"""Set request content encoding."""
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aio-libs/aiohttp | aiohttp/client_reqrep.py | ClientRequest.update_transfer_encoding | def update_transfer_encoding(self) -> None:
"""Analyze transfer-encoding header."""
te = self.headers.get(hdrs.TRANSFER_ENCODING, '').lower()
if 'chunked' in te:
if self.chunked:
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"""Analyze transfer-encoding header."""
te = self.headers.get(hdrs.TRANSFER_ENCODING, '').lower()
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aio-libs/aiohttp | aiohttp/client_reqrep.py | ClientRequest.update_auth | def update_auth(self, auth: Optional[BasicAuth]) -> None:
"""Set basic auth."""
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if auth is None:
return
if not isinstance(auth, helpers.BasicAuth):
raise TypeError('BasicAuth() tuple is required instead')
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aio-libs/aiohttp | aiohttp/client_reqrep.py | ClientRequest.write_bytes | async def write_bytes(self, writer: AbstractStreamWriter,
conn: 'Connection') -> None:
"""Support coroutines that yields bytes objects."""
# 100 response
if self._continue is not None:
await writer.drain()
await self._continue
protocol =... | python | async def write_bytes(self, writer: AbstractStreamWriter,
conn: 'Connection') -> None:
"""Support coroutines that yields bytes objects."""
# 100 response
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await writer.drain()
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aio-libs/aiohttp | aiohttp/client_reqrep.py | ClientResponse.start | async def start(self, connection: 'Connection') -> 'ClientResponse':
"""Start response processing."""
self._closed = False
self._protocol = connection.protocol
self._connection = connection
with self._timer:
while True:
# read response
... | python | async def start(self, connection: 'Connection') -> 'ClientResponse':
"""Start response processing."""
self._closed = False
self._protocol = connection.protocol
self._connection = connection
with self._timer:
while True:
# read response
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aio-libs/aiohttp | aiohttp/client_reqrep.py | ClientResponse.read | async def read(self) -> bytes:
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"""Read response payload."""
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aio-libs/aiohttp | aiohttp/client_reqrep.py | ClientResponse.text | async def text(self,
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"""Read response payload and decode."""
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await self.read()
if encoding is None:
encoding = self.get_encoding()
return self._body.decode(enco... | python | async def text(self,
encoding: Optional[str]=None, errors: str='strict') -> str:
"""Read response payload and decode."""
if self._body is None:
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aio-libs/aiohttp | aiohttp/web_response.py | StreamResponse.enable_chunked_encoding | def enable_chunked_encoding(self, chunk_size: Optional[int]=None) -> None:
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aio-libs/aiohttp | aiohttp/web_response.py | StreamResponse.enable_compression | def enable_compression(self,
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aio-libs/aiohttp | aiohttp/web_response.py | StreamResponse.set_cookie | def set_cookie(self, name: str, value: str, *,
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secure: Optional[str]=None,
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aio-libs/aiohttp | aiohttp/web_response.py | StreamResponse.del_cookie | def del_cookie(self, name: str, *,
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Creates new empty expired cookie.
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# TODO: do we need domain/path here?
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"""Delete cookie.
Creates new empty expired cookie.
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aio-libs/aiohttp | aiohttp/web_response.py | StreamResponse.last_modified | def last_modified(self) -> Optional[datetime.datetime]:
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This header is represented as a `datetime` object.
"""
httpdate = self._headers.get(hdrs.LAST_MODIFIED)
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"""The value of Last-Modified HTTP header, or None.
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aio-libs/aiohttp | aiohttp/web_urldispatcher.py | _default_expect_handler | async def _default_expect_handler(request: Request) -> None:
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raise HTTPExpectationFailed if value of header is not "100-continue"
"""
expect = request.headers.get(hdrs.EXPECT)
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"""Default handler for Expect header.
Just send "100 Continue" to client.
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"""
expect = request.headers.get(hdrs.EXPECT)
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aio-libs/aiohttp | aiohttp/web_urldispatcher.py | ResourceRoute.url_for | def url_for(self, *args: str, **kwargs: str) -> URL:
"""Construct url for route with additional params."""
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aio-libs/aiohttp | aiohttp/web_urldispatcher.py | UrlDispatcher.add_static | def add_static(self, prefix: str, path: PathLike, *,
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expect_handler: Optional[_ExpectHandler]=None,
chunk_size: int=256 * 1024,
show_index: bool=False, follow_symlinks: bool=False,
append_version: bo... | python | def add_static(self, prefix: str, path: PathLike, *,
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aio-libs/aiohttp | aiohttp/web_urldispatcher.py | UrlDispatcher.add_head | def add_head(self, path: str, handler: _WebHandler,
**kwargs: Any) -> AbstractRoute:
"""
Shortcut for add_route with method HEAD
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Shortcut for add_route with method HEAD
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aio-libs/aiohttp | aiohttp/web_urldispatcher.py | UrlDispatcher.add_options | def add_options(self, path: str, handler: _WebHandler,
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Shortcut for add_route with method OPTIONS
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Shortcut for add_route with method OPTIONS
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aio-libs/aiohttp | aiohttp/web_urldispatcher.py | UrlDispatcher.add_get | def add_get(self, path: str, handler: _WebHandler, *,
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Shortcut for add_route with method GET, if allow_head is true another
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Shortcut for add_route with method GET, if allow_head is true another
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aio-libs/aiohttp | aiohttp/web_urldispatcher.py | UrlDispatcher.add_post | def add_post(self, path: str, handler: _WebHandler,
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Shortcut for add_route with method POST
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Shortcut for add_route with method POST
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aio-libs/aiohttp | aiohttp/web_urldispatcher.py | UrlDispatcher.add_put | def add_put(self, path: str, handler: _WebHandler,
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Shortcut for add_route with method PUT
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Shortcut for add_route with method PUT
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aio-libs/aiohttp | aiohttp/web_urldispatcher.py | UrlDispatcher.add_patch | def add_patch(self, path: str, handler: _WebHandler,
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Shortcut for add_route with method PATCH
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Shortcut for add_route with method PATCH
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aio-libs/aiohttp | aiohttp/web_urldispatcher.py | UrlDispatcher.add_delete | def add_delete(self, path: str, handler: _WebHandler,
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Shortcut for add_route with method DELETE
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Shortcut for add_route with method DELETE
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aio-libs/aiohttp | aiohttp/web_urldispatcher.py | UrlDispatcher.add_view | def add_view(self, path: str, handler: AbstractView,
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Shortcut for add_route with ANY methods for a class-based view
"""
return self.add_route(hdrs.METH_ANY, path, handler, **kwargs) | python | def add_view(self, path: str, handler: AbstractView,
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Shortcut for add_route with ANY methods for a class-based view
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aio-libs/aiohttp | aiohttp/http_parser.py | HttpParser.parse_headers | def parse_headers(
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kennethreitz/requests-html | requests_html.py | user_agent | def user_agent(style=None) -> _UserAgent:
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"""
global useragent
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kennethreitz/requests-html | requests_html.py | BaseParser.html | def html(self) -> _BaseHTML:
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if self._html:
return self.raw_html.decode(self.encoding, errors='replace')
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kennethreitz/requests-html | requests_html.py | BaseParser.encoding | def encoding(self) -> _Encoding:
"""The encoding string to be used, extracted from the HTML and
:class:`HTMLResponse <HTMLResponse>` headers.
"""
if self._encoding:
return self._encoding
# Scan meta tags for charset.
if self._html:
self._encoding ... | python | def encoding(self) -> _Encoding:
"""The encoding string to be used, extracted from the HTML and
:class:`HTMLResponse <HTMLResponse>` headers.
"""
if self._encoding:
return self._encoding
# Scan meta tags for charset.
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kennethreitz/requests-html | requests_html.py | BaseParser.pq | def pq(self) -> PyQuery:
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"""
if self._pq is None:
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return self._pq | python | def pq(self) -> PyQuery:
"""`PyQuery <https://pythonhosted.org/pyquery/>`_ representation
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"""
if self._pq is None:
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kennethreitz/requests-html | requests_html.py | BaseParser.lxml | def lxml(self) -> HtmlElement:
"""`lxml <http://lxml.de>`_ representation of the
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"""
if self._lxml is None:
try:
self._lxml = soup_parse(self.html, features='html.parser')
except ValueError:
... | python | def lxml(self) -> HtmlElement:
"""`lxml <http://lxml.de>`_ representation of the
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"""
if self._lxml is None:
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kennethreitz/requests-html | requests_html.py | BaseParser.find | def find(self, selector: str = "*", *, containing: _Containing = None, clean: bool = False, first: bool = False, _encoding: str = None) -> _Find:
"""Given a CSS Selector, returns a list of
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kennethreitz/requests-html | requests_html.py | BaseParser.xpath | def xpath(self, selector: str, *, clean: bool = False, first: bool = False, _encoding: str = None) -> _XPath:
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kennethreitz/requests-html | requests_html.py | BaseParser.search_all | def search_all(self, template: str) -> _Result:
"""Search the :class:`Element <Element>` (multiple times) for the given parse
template.
:param template: The Parse template to use.
"""
return [r for r in findall(template, self.html)] | python | def search_all(self, template: str) -> _Result:
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kennethreitz/requests-html | requests_html.py | BaseParser.links | def links(self) -> _Links:
"""All found links on page, in as–is form."""
def gen():
for link in self.find('a'):
try:
href = link.attrs['href'].strip()
if href and not (href.startswith('#') and self.skip_anchors) and not href.startswit... | python | def links(self) -> _Links:
"""All found links on page, in as–is form."""
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kennethreitz/requests-html | requests_html.py | BaseParser._make_absolute | def _make_absolute(self, link):
"""Makes a given link absolute."""
# Parse the link with stdlib.
parsed = urlparse(link)._asdict()
# If link is relative, then join it with base_url.
if not parsed['netloc']:
return urljoin(self.base_url, link)
# Link is abso... | python | def _make_absolute(self, link):
"""Makes a given link absolute."""
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Microsoft/nni | examples/trials/weight_sharing/ga_squad/attention.py | DotAttention.get_att | def get_att(self, s, prob):
'''
:param s: [src_sequence_length, batch_size, src_dim]
:param prob: [src_sequence_length, batch_size]\
or [tgt_sequence_length, src_sequence_length, batch_size]
:return: [batch_size, src_dim] or [tgt_sequence_length, batch_size, src_dim]
... | python | def get_att(self, s, prob):
'''
:param s: [src_sequence_length, batch_size, src_dim]
:param prob: [src_sequence_length, batch_size]\
or [tgt_sequence_length, src_sequence_length, batch_size]
:return: [batch_size, src_dim] or [tgt_sequence_length, batch_size, src_dim]
... | [
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Microsoft/nni | examples/trials/weight_sharing/ga_squad/util.py | shape | def shape(tensor):
'''
Get shape of variable.
Return type is tuple.
'''
temp_s = tensor.get_shape()
return tuple([temp_s[i].value for i in range(0, len(temp_s))]) | python | def shape(tensor):
'''
Get shape of variable.
Return type is tuple.
'''
temp_s = tensor.get_shape()
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Microsoft/nni | examples/trials/weight_sharing/ga_squad/util.py | get_variable | def get_variable(name, temp_s):
'''
Get variable by name.
'''
return tf.Variable(tf.zeros(temp_s), name=name) | python | def get_variable(name, temp_s):
'''
Get variable by name.
'''
return tf.Variable(tf.zeros(temp_s), name=name) | [
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Microsoft/nni | examples/trials/weight_sharing/ga_squad/util.py | dropout | def dropout(tensor, drop_prob, is_training):
'''
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'''
if not is_training:
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return tf.nn.dropout(tensor, 1.0 - drop_prob) | python | def dropout(tensor, drop_prob, is_training):
'''
Dropout except test.
'''
if not is_training:
return tensor
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Microsoft/nni | examples/trials/weight_sharing/ga_squad/util.py | Timer.get_elapsed | def get_elapsed(self, restart=True):
'''
Calculate time span.
'''
end = time.time()
span = end - self.__start
if restart:
self.__start = end
return span | python | def get_elapsed(self, restart=True):
'''
Calculate time span.
'''
end = time.time()
span = end - self.__start
if restart:
self.__start = end
return span | [
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Microsoft/nni | examples/trials/kaggle-tgs-salt/predict.py | do_tta_predict | def do_tta_predict(args, model, ckp_path, tta_num=4):
'''
return 18000x128x128 np array
'''
model.eval()
preds = []
meta = None
# i is tta index, 0: no change, 1: horizon flip, 2: vertical flip, 3: do both
for flip_index in range(tta_num):
print('flip_index:', flip_index)
... | python | def do_tta_predict(args, model, ckp_path, tta_num=4):
'''
return 18000x128x128 np array
'''
model.eval()
preds = []
meta = None
# i is tta index, 0: no change, 1: horizon flip, 2: vertical flip, 3: do both
for flip_index in range(tta_num):
print('flip_index:', flip_index)
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Microsoft/nni | examples/trials/mnist-distributed-pytorch/dist_mnist.py | partition_dataset | def partition_dataset():
""" Partitioning MNIST """
dataset = datasets.MNIST(
'./data',
train=True,
download=True,
transform=transforms.Compose([
transforms.ToTensor(),
transforms.Normalize((0.1307, ), (0.3081, ))
]))
size = dist.get_world_size... | python | def partition_dataset():
""" Partitioning MNIST """
dataset = datasets.MNIST(
'./data',
train=True,
download=True,
transform=transforms.Compose([
transforms.ToTensor(),
transforms.Normalize((0.1307, ), (0.3081, ))
]))
size = dist.get_world_size... | [
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Microsoft/nni | examples/trials/mnist-distributed-pytorch/dist_mnist.py | average_gradients | def average_gradients(model):
""" Gradient averaging. """
size = float(dist.get_world_size())
for param in model.parameters():
dist.all_reduce(param.grad.data, op=dist.reduce_op.SUM, group=0)
param.grad.data /= size | python | def average_gradients(model):
""" Gradient averaging. """
size = float(dist.get_world_size())
for param in model.parameters():
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Microsoft/nni | examples/trials/mnist-distributed-pytorch/dist_mnist.py | run | def run(params):
""" Distributed Synchronous SGD Example """
rank = dist.get_rank()
torch.manual_seed(1234)
train_set, bsz = partition_dataset()
model = Net()
model = model
optimizer = optim.SGD(model.parameters(), lr=params['learning_rate'], momentum=params['momentum'])
num_batches = c... | python | def run(params):
""" Distributed Synchronous SGD Example """
rank = dist.get_rank()
torch.manual_seed(1234)
train_set, bsz = partition_dataset()
model = Net()
model = model
optimizer = optim.SGD(model.parameters(), lr=params['learning_rate'], momentum=params['momentum'])
num_batches = c... | [
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Microsoft/nni | examples/trials/ga_squad/graph.py | graph_loads | def graph_loads(graph_json):
'''
Load graph
'''
layers = []
for layer in graph_json['layers']:
layer_info = Layer(layer['type'], layer['input'], layer['output'], layer['size'])
layer_info.is_delete = layer['is_delete']
layers.append(layer_info)
graph = Graph(graph_json['m... | python | def graph_loads(graph_json):
'''
Load graph
'''
layers = []
for layer in graph_json['layers']:
layer_info = Layer(layer['type'], layer['input'], layer['output'], layer['size'])
layer_info.is_delete = layer['is_delete']
layers.append(layer_info)
graph = Graph(graph_json['m... | [
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Microsoft/nni | examples/trials/ga_squad/graph.py | Layer.set_size | def set_size(self, graph_id, size):
'''
Set size.
'''
if self.graph_type == LayerType.attention.value:
if self.input[0] == graph_id:
self.size = size
if self.graph_type == LayerType.rnn.value:
self.size = size
if self.graph_type == ... | python | def set_size(self, graph_id, size):
'''
Set size.
'''
if self.graph_type == LayerType.attention.value:
if self.input[0] == graph_id:
self.size = size
if self.graph_type == LayerType.rnn.value:
self.size = size
if self.graph_type == ... | [
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Microsoft/nni | examples/trials/ga_squad/graph.py | Layer.clear_size | def clear_size(self):
'''
Clear size
'''
if self.graph_type == LayerType.attention.value or \
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self.size = None | python | def clear_size(self):
'''
Clear size
'''
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self.size = None | [
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Microsoft/nni | examples/trials/ga_squad/graph.py | Graph.is_topology | def is_topology(self, layers=None):
'''
valid the topology
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if layers is None:
layers = self.layers
layers_nodle = []
result = []
for i, layer in enumerate(layers):
if layer.is_delete is False:
layers_nodle.append(i)
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valid the topology
'''
if layers is None:
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layers_nodle = []
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for i, layer in enumerate(layers):
if layer.is_delete is False:
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Microsoft/nni | examples/trials/ga_squad/graph.py | Graph.is_legal | def is_legal(self, layers=None):
'''
Judge whether is legal for layers
'''
if layers is None:
layers = self.layers
for layer in layers:
if layer.is_delete is False:
if len(layer.input) != layer.input_size:
return False
... | python | def is_legal(self, layers=None):
'''
Judge whether is legal for layers
'''
if layers is None:
layers = self.layers
for layer in layers:
if layer.is_delete is False:
if len(layer.input) != layer.input_size:
return False
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Microsoft/nni | examples/trials/ga_squad/graph.py | Graph.mutation | def mutation(self, only_add=False):
'''
Mutation for a graph
'''
types = []
if self.layer_num() < self.max_layer_num:
types.append(0)
types.append(1)
if self.layer_num() > 5 and only_add is False:
types.append(2)
types.appen... | python | def mutation(self, only_add=False):
'''
Mutation for a graph
'''
types = []
if self.layer_num() < self.max_layer_num:
types.append(0)
types.append(1)
if self.layer_num() > 5 and only_add is False:
types.append(2)
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Microsoft/nni | src/sdk/pynni/nni/smac_tuner/smac_tuner.py | SMACTuner._main_cli | def _main_cli(self):
"""Main function of SMAC for CLI interface
Returns
-------
instance
optimizer
"""
self.logger.info("SMAC call: %s" % (" ".join(sys.argv)))
cmd_reader = CMDReader()
args, _ = cmd_reader.read_cmd()
root_log... | python | def _main_cli(self):
"""Main function of SMAC for CLI interface
Returns
-------
instance
optimizer
"""
self.logger.info("SMAC call: %s" % (" ".join(sys.argv)))
cmd_reader = CMDReader()
args, _ = cmd_reader.read_cmd()
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Microsoft/nni | src/sdk/pynni/nni/smac_tuner/smac_tuner.py | SMACTuner.update_search_space | def update_search_space(self, search_space):
"""TODO: this is urgly, we put all the initialization work in this method, because initialization relies
on search space, also because update_search_space is called at the beginning.
NOTE: updating search space is not supported.
Parameters
... | python | def update_search_space(self, search_space):
"""TODO: this is urgly, we put all the initialization work in this method, because initialization relies
on search space, also because update_search_space is called at the beginning.
NOTE: updating search space is not supported.
Parameters
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Microsoft/nni | src/sdk/pynni/nni/smac_tuner/smac_tuner.py | SMACTuner.receive_trial_result | def receive_trial_result(self, parameter_id, parameters, value):
"""receive_trial_result
Parameters
----------
parameter_id: int
parameter id
parameters:
parameters
value:
value
Raises
------
Run... | python | def receive_trial_result(self, parameter_id, parameters, value):
"""receive_trial_result
Parameters
----------
parameter_id: int
parameter id
parameters:
parameters
value:
value
Raises
------
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Microsoft/nni | src/sdk/pynni/nni/smac_tuner/smac_tuner.py | SMACTuner.convert_loguniform_categorical | def convert_loguniform_categorical(self, challenger_dict):
"""Convert the values of type `loguniform` back to their initial range
Also, we convert categorical:
categorical values in search space are changed to list of numbers before,
those original values will be changed back in this fun... | python | def convert_loguniform_categorical(self, challenger_dict):
"""Convert the values of type `loguniform` back to their initial range
Also, we convert categorical:
categorical values in search space are changed to list of numbers before,
those original values will be changed back in this fun... | [
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Also, we convert categorical:
categorical values in search space are changed to list of numbers before,
those original values will be changed back in this function
Parameters
----------
challenge... | [
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Microsoft/nni | src/sdk/pynni/nni/smac_tuner/smac_tuner.py | SMACTuner.generate_parameters | def generate_parameters(self, parameter_id):
"""generate one instance of hyperparameters
Parameters
----------
parameter_id: int
parameter id
Returns
-------
list
new generated parameters
"""
if self.first_... | python | def generate_parameters(self, parameter_id):
"""generate one instance of hyperparameters
Parameters
----------
parameter_id: int
parameter id
Returns
-------
list
new generated parameters
"""
if self.first_... | [
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Returns
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Microsoft/nni | src/sdk/pynni/nni/smac_tuner/smac_tuner.py | SMACTuner.generate_multiple_parameters | def generate_multiple_parameters(self, parameter_id_list):
"""generate mutiple instances of hyperparameters
Parameters
----------
parameter_id_list: list
list of parameter id
Returns
-------
list
list of new generated para... | python | def generate_multiple_parameters(self, parameter_id_list):
"""generate mutiple instances of hyperparameters
Parameters
----------
parameter_id_list: list
list of parameter id
Returns
-------
list
list of new generated para... | [
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Parameters
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Microsoft/nni | examples/trials/kaggle-tgs-salt/lovasz_losses.py | lovasz_grad | def lovasz_grad(gt_sorted):
"""
Computes gradient of the Lovasz extension w.r.t sorted errors
See Alg. 1 in paper
"""
p = len(gt_sorted)
gts = gt_sorted.sum()
intersection = gts - gt_sorted.float().cumsum(0)
union = gts + (1 - gt_sorted).float().cumsum(0)
jaccard = 1. - intersection ... | python | def lovasz_grad(gt_sorted):
"""
Computes gradient of the Lovasz extension w.r.t sorted errors
See Alg. 1 in paper
"""
p = len(gt_sorted)
gts = gt_sorted.sum()
intersection = gts - gt_sorted.float().cumsum(0)
union = gts + (1 - gt_sorted).float().cumsum(0)
jaccard = 1. - intersection ... | [
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Microsoft/nni | examples/trials/kaggle-tgs-salt/lovasz_losses.py | iou_binary | def iou_binary(preds, labels, EMPTY=1., ignore=None, per_image=True):
"""
IoU for foreground class
binary: 1 foreground, 0 background
"""
if not per_image:
preds, labels = (preds,), (labels,)
ious = []
for pred, label in zip(preds, labels):
intersection = ((label == 1) & (pre... | python | def iou_binary(preds, labels, EMPTY=1., ignore=None, per_image=True):
"""
IoU for foreground class
binary: 1 foreground, 0 background
"""
if not per_image:
preds, labels = (preds,), (labels,)
ious = []
for pred, label in zip(preds, labels):
intersection = ((label == 1) & (pre... | [
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