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Imports: ```python import typing ``` Type definitions: Input Types: List[int], int Output Type: int Dependencies: Function Name: v0 Function: ```python def v0(self, v1: List[int], v2: int) -> int: assert isinstance(v2, int) and v2 >= 1 assert isinstance(v1, list) and len(v1) >= v2 return self._findKthLarg...
Imports: ```python import json import typing ``` Type definitions: Input Types: Union[TextIO, str] Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(v1: Union[TextIO, str], **v2): if hasattr(v1, 'read'): v1 = v1.read() return json.loads(v1, **v2) ```
Imports: ```python import typing ``` Type definitions: Input Types: Output Type: str Dependencies: Function Name: v0 Function: ```python def v0(self) -> str: if self.zeroLengthSearch: return str(self.offsetStart) else: return str(self.offsetStart) + '-' + str(self.offsetEnd) ```
Imports: ```python import pandas as pd import typing ``` Type definitions: Input Types: pd.DataFrame Output Type: pd.DataFrame Dependencies: Function Name: v0 Function: ```python def v0(v1: pd.DataFrame) -> pd.DataFrame: v2 = v1['matched_term'].str.lower() == v1['preferred_form'].str.lower() v3 = v1['object_i...
Imports: ```python import typing ``` Type definitions: Input Types: Any Output Type: (bool, bool) Dependencies: Function Name: v0 Function: ```python def v0(self, v1=1) -> (bool, bool): self.try_starting() (v2, v3) = self.try_authenticating(request_retries=v1) return (v2, v3) ```
Imports: ```python import shutil import typing ``` Type definitions: Input Types: Path Output Type: None Dependencies: ```python def v0(v1: str) -> str: return hex(abs(hash(v1)))[2:] ``` Function Name: v2 Function: ```python def v2(v3: Path) -> None: v4: str = v0(v3.name) + '.mp4' v5: Path = v3.parent / v4...
Imports: ```python from numpy import float32, float64, isnan import typing ``` Type definitions: Input Types: Union[int, float, str, None] Output Type: str Dependencies: ```python def v0(v1: float) -> str: if isnan(v1): return ' ' elif v1 == 0.0: return '%8s' % '0.' elif v1 > 0.0: ...
Imports: ```python from datetime import datetime import warnings import typing ``` Type definitions: Input Types: List[str], Optional[int], Optional[int] Output Type: List[str] Dependencies: ```python def v0(v1: List[str], v2: Optional[int]=None, v3: Optional[int]=None) -> dict: if v2 is None: v2 = 1985 ...
Imports: ```python import typing ``` Type definitions: Input Types: str, int Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(v1: str, v2: int): (v3, v4) = (v1[:v2], v1[v2:]) return f'{v4}{v3}' ```
Imports: ```python import math import re import typing ``` Type definitions: Input Types: str Output Type: t.Optional[gws.Extent] Dependencies: ```python def v0(v1): return (min(v1[0], v1[2]), min(v1[1], v1[3]), max(v1[0], v1[2]), max(v1[1], v1[3])) ``` ```python def v2(v3: t.List[t.Any]) -> t.Optional[gws.Extent]...
Imports: ```python import typing ``` Type definitions: Input Types: Output Type: None Dependencies: Function Name: v0 Function: ```python def v0(self) -> None: v1 = 'BUG-15: New bug with hook' v2 = '\nLeo Franchi commented on [BUG-15: New bug with hook](http://lfranchi.com:8080/browse/BUG-15) (assigned to **...
Imports: ```python import json import typing ``` Type definitions: Input Types: str Output Type: str Dependencies: Function Name: v0 Function: ```python def v0(v1: str) -> str: if not v1: return v1 v2 = 0 v3 = 0 v4 = 0 v5 = [] v6 = [] for (v7, v8) in enumerate(v1): if v4: ...
Imports: ```python import torch import torch.nn.functional as F import torch.nn as nn import typing ``` Type definitions: Input Types: Any, tuple Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(v1, v2: tuple): v3 = torch.Tensor(v1) v4 = torch.max(v3) - torch.min(v3) v5 = (v3 - ...
Imports: ```python import typing ``` Type definitions: Input Types: protocol.Backup, bool Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(self, v1: protocol.Backup, v2: bool): v3 = self._path_for_backup_date(v1.backup_date) v3.parent.mkdir(exist_ok=True, parents=True) with v3.o...
Imports: ```python import os from pathlib import Path from glob import glob import typing ``` Type definitions: ```python v0 = Union[str, Path] ``` Input Types: v0 Output Type: Path Dependencies: Function Name: v1 Function: ```python def v1(v2: v0, *v3: str) -> Path: import os.path v4 = os.path.join(str(v2), *...
Imports: ```python import os import os.path import typing ``` Type definitions: ```python v0 = Sequence[str] ``` Input Types: v0 Output Type: bool Dependencies: Function Name: v1 Function: ```python def v1(self, v2: v0) -> bool: v3 = self._get_path(v2) for v4 in os.listdir(v3): if v4 not in ('new', 'cu...
Imports: ```python import os import typing ``` Type definitions: Input Types: str Output Type: str Dependencies: Function Name: v0 Function: ```python def v0(v1: str) -> str: v2 = v1.upper() return os.getenv(v2) ```
Imports: ```python import typing ``` Type definitions: Input Types: Output Type: None Dependencies: Function Name: v0 Function: ```python async def v0(self) -> None: self._task = None await self.change_datetime(REPEAT_TYPES[self.repeat_type.value](self._datetime)) await self.set_notified(False) self....
Imports: ```python import pandas as pd import typing ``` Type definitions: Input Types: Any Output Type: pd.DataFrame Dependencies: Function Name: v0 Function: ```python def v0(v1) -> pd.DataFrame: v2 = ['station', 'drought_index', 'cum_prcp_pred', 'cum_fillrate'] v3 = pd.DataFrame(v1.execute('select * from d...
Imports: ```python import typing ``` Type definitions: Input Types: List[list], List[list] Output Type: List[list] Dependencies: ```python def v0(v1: List[list]) -> bool: if not isinstance(v1, int) and (not isinstance(v1[0], int)): return True raise TypeError('Expected a matrix, got int/list instead') ...
Imports: ```python import typing ``` Type definitions: Input Types: Output Type: dict Dependencies: Function Name: v0 Function: ```python def v0(self) -> dict: v1 = {'key': self._task_process.key.key_path(), 'keyLiteral': self._task_process.key.key_literal(), 'relativeURI': self._task_process.relative_uri, 'meth...
Imports: ```python import os import typing ``` Type definitions: Input Types: str, bool Output Type: list Dependencies: Function Name: v0 Function: ```python def v0(self, v1: str, v2: bool) -> list: v3 = [] v4 = [] for v5 in os.listdir(v1): if not os.path.isdir(os.path.join(v1, v5)): i...
Imports: ```python import torch import typing ``` Type definitions: Input Types: torch.Tensor, torch.Tensor Output Type: torch.Tensor Dependencies: ```python def v0(v1): return torch.stack([a[..., v1, 0] * b[..., 0, 0] + a[..., v1, 1] * b[..., 1, 0] + a[..., v1, 2] * b[..., 2, 0], a[..., v1, 0] * b[..., 0, 1] + a[...
Imports: ```python import typing ``` Type definitions: Input Types: dict Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(v1: dict): v2: Tree = v1.get('constituency', None) if v2: for v3 in v2.subtrees(): v4 = v3.label() v3.set_label(v4.split('-')[0])...
Imports: ```python import typing ``` Type definitions: Input Types: wx.TreeEvent Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(self, v1: wx.TreeEvent): (v2, v3) = self.ft_filetree.GetItemData(v1.GetItem()) if v2.endswith('/'): self.GetGrandParent().open_filesystem_page(se...
Imports: ```python import numpy as np from scipy.stats import rankdata import typing ``` Type definitions: Input Types: Dict, Optional[Dict] Output Type: Tuple[np.ndarray, np.ndarray] Dependencies: Function Name: v0 Function: ```python def v0(v1: Dict, v2: Optional[Dict]=None) -> Tuple[np.ndarray, np.ndarray]: v3...
Imports: ```python import os import typing ``` Type definitions: Input Types: Output Type: bool Dependencies: ```python def v0() -> Mapping[str, str]: global _cfg if not _cfg: v1 = {} for (v2, v3) in os.environ.items(): if v2.startswith('LSSLM_'): v1[v2[len('LSSLM_'...
Imports: ```python import typing ``` Type definitions: ```python class v0: def __init__(self): self._addr: PostalAddress = PostalAddress() def v1(self, v2: str) -> v0: self._addr.country = v2 return self def v3(self, v4: str) -> v0: self._addr.locality = v4 return ...
Imports: ```python import typing ``` Type definitions: Input Types: dict Output Type: Union[List, None] Dependencies: Function Name: v0 Function: ```python def v0(v1: dict) -> Union[List, None]: v2 = [] for v3 in v1: v2.append({'field': v3, 'msg': v1.get(v3, '')}) return v2 if v2 else None ```
Imports: ```python import typing ``` Type definitions: ```python class v0: def __init__(self, v1: NodeEvent, v2: 'Entry', v3, v4=NotGiven, v5=None): self.event = v1 self.entry = v2 self.new_value = v3 if v4 is not NotGiven: self.old_value = v4 if v3 is NotGiven: ...
Imports: ```python import typing ``` Type definitions: Input Types: argparse.PARSER, str, str Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(v1: argparse.PARSER, v2: str, v3: str): if v1.output: v4 = '/dev/stdout' if '-' == v1.output else v1.output return open(v4, 'w',...
Imports: ```python import numpy as np import typing ``` Type definitions: ```python v0 = Tuple[np.array] ``` Input Types: v0, np.array Output Type: int Dependencies: Function Name: v1 Function: ```python def v1(self, v2: v0, v3: np.array) -> int: v4 = 5 v5 = v3[:2] / v3[2] (v6, v7, v8) = v2 v9 = v6 - v...
Imports: ```python import typing ``` Type definitions: Input Types: int, List[int] Output Type: int Dependencies: Function Name: v0 Function: ```python def v0(v1: int, v2: List[int]) -> int: (v3, v4) = (0, 0) while v3 < v1: if v3 == v1 - 1: break if v3 == v1 - 2: if v2[...
Imports: ```python import typing ``` Type definitions: Input Types: specs.Array, specs.Array Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(v1: specs.Array, v2: specs.Array): if v1.shape != v2.shape: raise ValueError(f'invalid shape for spec {v1.name}: {v1.shape}, actual shape...
Imports: ```python import typing ``` Type definitions: Input Types: int, int, int, str, str, str, str, int, str, tuple, int Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(self, v1: int=None, v2: int=None, v3: int=None, v4: str=None, v5: str=None, v6: str=None, v7: str=None, v8: int=None, ...
Imports: ```python import typing ``` Type definitions: Input Types: Output Type: Optional[str] Dependencies: Function Name: v0 Function: ```python def v0(self) -> Optional[str]: if len(self.proxy_list) == 0: return None v1 = self.current v2 = self.proxy_list[v1] if v1 + 1 >= len(self.proxy_li...
Imports: ```python import base64 import mimetypes import os import requests import typing ``` Type definitions: Input Types: io.IOBase, str Output Type: str Dependencies: Function Name: v0 Function: ```python def v0(v1: io.IOBase, v2: str=None) -> str: v1.seek(0) if v2 is not None: v3 = getattr(v1, 'n...
Imports: ```python import typing ``` Type definitions: Input Types: Optional[int], str, str Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(self, v1: Optional[int]=None, v2: str='', v3: str='') -> Any: if v1 is None: v1 = self._licence_ids.get_new_id() elif self._licence_id...
Imports: ```python import numpy as np from matplotlib import pyplot as plt import typing ``` Type definitions: Input Types: pd.DataFrame, Dict Output Type: Dict Dependencies: Function Name: v0 Function: ```python def v0(v1: pd.DataFrame, v2: Dict=None) -> Dict: if v2 is None: v2 = {'n_bins': 200, 'log_sca...
Imports: ```python import typing ``` Type definitions: Input Types: Any, str Output Type: list Dependencies: ```python def v0(v1: str) -> str: v2 = [] for v3 in v1.split('/'): (v4, v5) = v3.split(':') v2.append('{{{}}}{}'.format(NAMESPACES[v4], v5)) return '/'.join(v2) ``` Function Name: v6...
Imports: ```python import typing ``` Type definitions: Input Types: str Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(self, v1: str): if not self.dependencies: return self.db.save(v1, self.dependencies) ```
Imports: ```python import torch import typing ``` Type definitions: Input Types: torch.Tensor, List[List[int]], List[List[int]] Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(v1: torch.Tensor, v2: List[List[int]], v3: List[List[int]]): v4 = v1.clone() for v5 in range(len(v2) - 1, ...
Imports: ```python import torch import typing ``` Type definitions: Input Types: torch.Tensor, torch.Tensor, Optional[torch.Tensor], Optional[int], str Output Type: torch.Tensor Dependencies: ```python def v0(v1: torch.Tensor, v2: torch.Tensor, v3: Optional[torch.Tensor]=None, v4: Optional[int]=None) -> Tuple[torch.Te...
Imports: ```python import typing ``` Type definitions: ```python class v0: v1 = {} v2 = {'TLV': DefaultEncoder, int.__name__: IntEncoder, str.__name__: StrEncoder, bytes.__name__: BytesEncoder} def __init__(self): super().__init__() self.indent = 4 self.tag_size = 1 self.len...
Imports: ```python import typing ``` Type definitions: ```python class v0: def __init__(self, v1=0, v2=None, v3=None): self.val = v1 self.left = v2 self.right = v3 ``` Input Types: v0 Output Type: str Dependencies: ```python def v4(v5, v6): if v5: v6.append(chr(v5.val + ord('a')...
Imports: ```python import numpy as np import typing ``` Type definitions: Input Types: int, bool, bool, bool, Any, Any, Any, Any, int Output Type: Any Dependencies: ```python def v0(v1): v2 = list('ACDEFGHIKLMNPQRSTVWY') return ''.join([v2[el - 1] if el != 0 else '' for v3 in v1[0].argmax(axis=1)]) ``` Functio...
Imports: ```python import os from glob import glob import typing ``` Type definitions: Input Types: Union[AnyStr, os.PathLike] Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(v1: Union[AnyStr, os.PathLike]): try: for v2 in glob(v1): os.remove(v2) except TypeErro...
Imports: ```python import numpy as np import typing ``` Type definitions: Input Types: str Output Type: pd.Series Dependencies: Function Name: v0 Function: ```python def v0(self, v1: str=None) -> pd.Series: v2 = self.df_filtered.corr() v3 = v2.where(np.triu(np.ones(v2.shape), 1).astype(bool)) if v1 is not...
Imports: ```python import numpy as np import torch from torch.distributions import Categorical import torch.nn as nn import torch.nn.functional as F import typing ``` Type definitions: Input Types: Output Type: list Dependencies: Function Name: v0 Function: ```python def v0(self) -> list: v1 = 0 v2 = [] ...
Imports: ```python import typing ``` Type definitions: Input Types: str, str Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(self, v1: str, v2: str=None): v3 = f'/get_plans/{v1}' if v2: v3 += f'&{v2}' v4 = self.send_get(v3) return v4 ```
Imports: ```python import datetime as dt import pandas as pd import typing ``` Type definitions: Input Types: pd.Series, int, int Output Type: Tuple[Dict, Dict] Dependencies: Function Name: v0 Function: ```python def v0(v1: pd.Series, *v4: List[pd.DataFrame], v2: int=OBSERVATION_WINDOW, v3: int=PREDICTION_WINDOW) -> ...
Imports: ```python import heapq import typing ``` Type definitions: ```python v0 = TypeVar('DictKey', str, int, float) ``` Input Types: Output Type: Dict[v0, List[Any]] Dependencies: Function Name: v1 Function: ```python def v1(self) -> Dict[v0, List[Any]]: v2 = {} for (v3, v4) in self._result.items(): ...
Imports: ```python import uuid import typing ``` Type definitions: Input Types: str Output Type: Dict[str, Any] Dependencies: Function Name: v0 Function: ```python async def v0(self, v1: str) -> Dict[str, Any]: if self._is_stopping: return {} v2 = str(uuid.uuid4()) v3 = await self.keys(v1) if ...
Imports: ```python import typing ``` Type definitions: Input Types: str, str Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(v1: str, v2: str): v3 = '' for (v4, v5) in enumerate(v1): if not v5 in v2: v3 += 'b' elif v5 == v2[v4]: v3 += 'g' ...
Imports: ```python import gzip import shutil import typing ``` Type definitions: Input Types: io.BytesIO, str, str Output Type: None Dependencies: Function Name: v0 Function: ```python def v0(v1: io.BytesIO, v2: str, v3: str) -> None: with gzip.open(v1, mode='rt', encoding=v2) as v4: with open(v3, 'w') as...
Imports: ```python import typing ``` Type definitions: Input Types: float Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(self, v1: float): v2 = 0 self.ens.Init() while v2 < v1: self.ens.Iterate() v2 += self.deltat self.ens.t = v2 ```
Imports: ```python import typing ``` Type definitions: Input Types: Output Type: float Dependencies: Function Name: v0 Function: ```python def v0(self) -> float: try: return self.speed_hack / self.delta except ZeroDivisionError: return self.fps ```
Imports: ```python import re import typing ``` Type definitions: Input Types: Dict[str, Any] Output Type: str Dependencies: Function Name: v0 Function: ```python def v0(v1: Dict[str, Any]) -> str: v2 = v1.get('namespace', '') if len(v2) == 0: v2 = v1.get('author', '') if re.match('^\\w+ \\w+', v2)...
Imports: ```python import numpy as np import typing ``` Type definitions: Input Types: np.ndarray Output Type: np.ndarray Dependencies: ```python def v0(v1: np.ndarray) -> np.ndarray: return np.hstack((v1, np.ones((v1.shape[0], 1)))) ``` ```python def v2(v3: np.ndarray) -> np.ndarray: return v3[:, :-1] ``` Fun...
Imports: ```python import typing ``` Type definitions: Input Types: str Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(self, v1: str): v1 = f'{self.dev_number}{v1}' self._device.write(v1) ```
Imports: ```python import logging import typing ``` Type definitions: Input Types: Any Output Type: None Dependencies: Function Name: v0 Function: ```python def v0(self, v1, *v2, **v3) -> None: if not self.router.is_active: logging.debug('Router is not actived, emit remote will not do anything, event_name...
Imports: ```python import typing ``` Type definitions: Input Types: dict Output Type: Any Dependencies: ```python def v0(v1: dict, v2: Tuple[str, ...]) -> dict: v3 = v1[v2[0]] if len(v2) == 1: return v3 else: for v4 in v2[1:]: v3 = v3[v4] return v3 ``` Function Name: v5 ...
Imports: ```python from torch.utils import data import torch import torch.nn as nn import typing ``` Type definitions: Input Types: Any, Any, Any, Any, str Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(v1, v2, v3, v4, v5: str): v6 = torch.load(v5, map_location=v4) v1.load_state_d...
Imports: ```python import difflib import typing ``` Type definitions: Input Types: pathlib.Path, pathlib.Path Output Type: List[str] Dependencies: Function Name: v0 Function: ```python def v0(self, v1: pathlib.Path, v2: pathlib.Path) -> List[str]: if v1 == v2: return [] if v1.drive or v2.drive: ...
Imports: ```python import qiskit import numpy as np import typing ``` Type definitions: Input Types: qiskit.QuantumCircuit, np.ndarray, int Output Type: Any Dependencies: ```python def v0(v1: qiskit.QuantumCircuit, v2, v3: int=1): v4 = v1.num_qubits if isinstance(v3, int) != True: v3 = v3['num_layers']...
Imports: ```python import typing ``` Type definitions: Input Types: Any Output Type: bool Dependencies: Function Name: v0 Function: ```python def v0(self, v1: Any) -> bool: return True for v2 in v1['tags']: if 'プリンセスコネクト!Re:Dive' in v2['name']: return True if 'プリコネ' in v2['name']: ...
Imports: ```python import typing ``` Type definitions: ```python class v0(object): def __init__(self, v1=None): if v1: self.allow_extensions = v1.allow_extensions self.skipped_binary_extensions = v1.skipped_binary_extensions else: self.allow_extensions = True ...
Imports: ```python from collections import OrderedDict import requests from requests.exceptions import HTTPError import csv import typing ``` Type definitions: Input Types: List[str], List[str] Output Type: Dict[str, Dict] Dependencies: ```python def v0(v1: str, v2='\t', v3=';') -> str: v1 = [row for v4 in csv.Dic...
Imports: ```python import json import tensorflow as tf import typing ``` Type definitions: Input Types: config_dict.ConfigDict, str Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(v1: config_dict.ConfigDict, v2: str): with tf.io.gfile.GFile(v2, 'w') as v3: json.dump(v1.to_dict(...
Imports: ```python import typing ``` Type definitions: ```python v0 = TypeVar('ResourceType', bound='Resource') ``` Input Types: Optional[int], Optional[int] Output Type: Iterable[v0] Dependencies: Function Name: v1 Function: ```python def v1(self, v2: Optional[int]=None, v3: Optional[int]=None) -> Iterable[v0]: v...
Imports: ```python import typing ``` Type definitions: Input Types: str, int Output Type: Dict[str, int] Dependencies: Function Name: v0 Function: ```python def v0(v1: str, v2: int) -> Dict[str, int]: v3: Dict[str, int] = dict() v4: int = 0 with open(v1, 'r') as v5: v6 = next(v5) try: ...
Imports: ```python import typing ``` Type definitions: Input Types: str Output Type: bool Dependencies: Function Name: v0 Function: ```python def v0(self, v1: str) -> bool: self._collection.update_one({'username': v1}, {'$set': {'active': False}}, upsert=False) return True ```
Imports: ```python import subprocess import sys import typing ``` Type definitions: Input Types: str Output Type: None Dependencies: Function Name: v0 Function: ```python def v0(self, v1: str='') -> None: v2 = [sys.executable, '-m', 'stacksearch'] v2.extend(v1.split(' ')) subprocess.run(v2, check=True) ``...
Imports: ```python import typing ``` Type definitions: Input Types: Any Output Type: None Dependencies: Function Name: v0 Function: ```python def v0(self, v1: Any) -> None: self.pack_32bit_uint(v1.get_size()) self.fmt.append(v1.fmt[1:]) self.size += v1.size self.args.append(*v1.args) ```
Imports: ```python from bisect import bisect_left import typing ``` Type definitions: Input Types: int Output Type: None Dependencies: Function Name: v0 Function: ```python def v0(self, v1: int) -> None: v2 = bisect_left(self, v1) self.insert(v2, v1) ```
Imports: ```python import typing ``` Type definitions: Input Types: 'AttrsTypedDict', str Output Type: bool Dependencies: Function Name: v0 Function: ```python def v0(self, v1: 'AttrsTypedDict', v2: str='') -> bool: v3 = v1['requirements'].get('host', set()) or v1['requirements'].get('build', set()) or set() ...
Imports: ```python import typing ``` Type definitions: Input Types: Optional[bool], Optional[str] Output Type: bool Dependencies: Function Name: v0 Function: ```python def v0(v1: Optional[bool], v2: Optional[str]) -> bool: if v1 is not None: return v1 return v2 is not None ```
Imports: ```python import sqlite3 import typing ``` Type definitions: ```python class v0(enum.Enum): v1 = ('Submitted', False) v2 = ('Judging', False) v3 = ('Accepted', True) v4 = ('Time Limit Exceeded', True) v5 = ('Wrong Answer', True) v6 = ('Compile Error', True) def __init__(self, v7: s...
Imports: ```python import typing ``` Type definitions: Input Types: torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor, float, torch.Tensor, torch.Tensor, float, float, float, float, float, float, float, dict, bool, bool, bool, str Output Type: dict Dependencies: Function Name: v0 Func...
Imports: ```python import typing ``` Type definitions: Input Types: str Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(self, v1: str): if '/' in v1: return v1.split('/', 1)[-1] else: return '' ```
Imports: ```python import torch import typing ``` Type definitions: Input Types: torch.Tensor, int, int Output Type: torch.Tensor Dependencies: ```python def v0(v1: int, v2: int) -> torch.Tensor: return torch.randint(low=0, high=v2, size=[v1]) ``` Function Name: v3 Function: ```python def v3(v4: torch.Tensor, v5: ...
Imports: ```python import typing ``` Type definitions: Input Types: int, bool Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(self, v1: int, v2: bool=False): if v2: self._errors += v1 else: self._complete += v1 if self._files_listener: self._files_listen...
Imports: ```python import datetime as dt import pandas as pd import typing ``` Type definitions: Input Types: str Output Type: dt.timedelta Dependencies: Function Name: v0 Function: ```python def v0(v1: str) -> dt.timedelta: v2 = dt.timedelta(microseconds=40000) if not pd.isna(v1): if v1.lower() == 's...
Imports: ```python import typing ``` Type definitions: Input Types: Output Type: None Dependencies: Function Name: v0 Function: ```python def v0(self) -> None: for (v1, v2) in self.__requirements.items(): if not v2.is_done(): raise Exception('Benchmarking not completed. Please use report_benc...
Imports: ```python import typing ``` Type definitions: Input Types: Dict Output Type: None Dependencies: ```python def v0(v1: Union[List[float], complex]) -> complex: if isinstance(v1, list) and len(v1) == 2: return complex(v1[0], v1[1]) elif isinstance(v1, complex): return v1 raise TypeErr...
Imports: ```python import typing ``` Type definitions: Input Types: Output Type: str Dependencies: Function Name: v0 Function: ```python def v0(self) -> str: with self.order_count_lock: self.order_count += 1 v1 = f'{self.connect_time}{self.order_count}' return v1 ```
Imports: ```python import warnings import torch import typing ``` Type definitions: Input Types: int, Optional[str] Output Type: List[int] Dependencies: Function Name: v0 Function: ```python def v0(self, v1: int=1, v2: Optional[str]=None) -> List[int]: v3 = self.synset_start_idxs[v2] if v2 is not None else 0 ...
Imports: ```python import typing ``` Type definitions: Input Types: str, str Output Type: str Dependencies: Function Name: v0 Function: ```python def v0(self, v1: str, v2: str) -> str: if not v1.startswith('$'): return v1 v1 = v1.strip()[1:] if not v1.endswith(')'): return v2 + v1 + '{}' ...
Imports: ```python import typing ``` Type definitions: Input Types: Dict[str, torch.Tensor], int Output Type: Any Dependencies: Function Name: v0 Function: ```python def v0(self, v1: Dict[str, torch.Tensor], v2: int): v3 = self.model.training_step(v1) v4 = self.calc_loss(v3, v1, rt_config={'current_step': sel...
Imports: ```python import requests from requests.exceptions import HTTPError import typing ``` Type definitions: Input Types: str, str, bool, dict Output Type: Union[str, dict, list] Dependencies: ```python def v0(v1: requests.models.Response, v2: str='') -> Union[str, dict, list]: (v3, v4, v5) = _raise_for_status...
Imports: ```python from plotly import __version__ from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot import plotly import plotly.plotly as py import plotly.graph_objs as go import plotly.tools as tls import typing ``` Type definitions: Input Types: pd.DataFrame, pd.DataFrame, str, str, str, ...
Imports: ```python import typing ``` Type definitions: Input Types: bytes Output Type: bytes Dependencies: ```python def v0(v1: int, v2: int) -> int: v1 = v1 & 65535 v3 = v1 % v2 if v1 > 32767: return -v2 + (v3 - 65536) % v2 return v3 ``` Function Name: v4 Function: ```python def v4(v5: bytes) ...
Imports: ```python from tensorflow.python.keras import backend as K, Input, Model from tensorflow.python.keras.callbacks import Callback, History from tensorflow.python.keras.layers import Layer, Dense, Lambda from tensorflow.python.keras.losses import binary_crossentropy import tensorflow as tf import typing ``` Type ...
Imports: ```python import datetime as dt import typing ``` Type definitions: Input Types: dt.datetime Output Type: dt.datetime Dependencies: Function Name: v0 Function: ```python def v0(v1: dt.datetime) -> dt.datetime: if isinstance(v1, dt.date): return dt.datetime(v1.year, v1.month, v1.day) elif isin...
Imports: ```python import numpy as np import torch import torch.nn as nn from torch.utils.data import Dataset, DataLoader import typing ``` Type definitions: Input Types: nn.Module, Any Output Type: Any Dependencies: ```python def v0(v1, v2): return torch.sqrt(torch.mean((v1 - v2) ** 2)) ``` Function Name: v3 Func...
Imports: ```python import typing ``` Type definitions: Input Types: Output Type: List[str] Dependencies: Function Name: v0 Function: ```python def v0(self) -> List[str]: v1: List[str] = [] for (v2, v3) in self.member_infos.items(): v1.append(self.member_infos[v2].id) return v1 ```
Imports: ```python import logging import logging.handlers import typing ``` Type definitions: Input Types: Union[str, os.PathLike[str]], int, Union[None, int], Union[None, int], Union[None, bool], Union[None, str] Output Type: logging.Handler Dependencies: ```python def v0(v1: Union[str, os.PathLike[str]], v2: int, v3...
Imports: ```python import typing ``` Type definitions: Input Types: Output Type: List[str] Dependencies: Function Name: v0 Function: ```python def v0(self) -> List[str]: (v1, v2) = self.make_request('GET', 'devices', access_token=self.user_tok) self.assertEqual(v1.code, 200) return [d['device_id'] for v3...
Imports: ```python import typing ``` Type definitions: ```python class v0: def __init__(self, v1=0, v2=None, v3=None): self.val = v1 self.left = v2 self.right = v3 ``` Input Types: v0 Output Type: int Dependencies: Function Name: v4 Function: ```python def v4(self, v5: v0) -> int: v6 =...
Imports: ```python import os import os.path as path import typing ``` Type definitions: Input Types: str, str, Any Output Type: None Dependencies: Function Name: v0 Function: ```python def v0(v1: str, v2: str, v3) -> None: if not os.path.exists(v1): os.mkdir(v1) v4 = path.join(v1, v2) with open(v4...