text stringlengths 190 325k |
|---|
Imports:
```python
import typing
```
Type definitions:
Input Types: str
Output Type: bool
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str) -> bool:
v2 = 0
v3 = self.root
while v2 < len(v1):
v4 = False
for v5 in v3.child:
if v5.ch == v1[v2]:
... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Optional[str]
Output Type: 'JoinedQuery'
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: Optional[str]) -> 'JoinedQuery':
self.data.inject_at = v1
return self
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: Union[bytes, str]
Output Type: Optional[int]
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: Union[bytes, str]) -> Optional[int]:
v2 = self.get_account_blob(v1)
if v2:
return v2.get_sequence_number()
return 0
... |
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):
if v2 == 'short':
if self._flags_short.get(v1) is not None or self._options_short.get(v1) is not None:
raise Runtime... |
Imports:
```python
import typing
```
Type definitions:
Input Types: SkylineParser.MultExpContext
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: SkylineParser.MultExpContext):
v2 = [n for v3 in v1.getChildren()]
v4 = self.visit(v2[0])
v5 = v4.height[-1] * int(v2[2].ge... |
Imports:
```python
import typing
```
Type definitions:
Input Types: int
Output Type: dict
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: int) -> dict:
if v1 is None:
raise ValueError("Id can't be none")
return self.get('requirementSkeletons/%s' % v1)
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: str
Output Type: str
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str) -> str:
if v1 == 'g++':
return '/gcc/g++'
``` |
Imports:
```python
import shutil
from pathlib import Path
import typing
```
Type definitions:
Input Types: str
Output Type: str
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str) -> str:
if not self.options.has_scrubber():
shutil.copyfile(self.file_name, v1)
else:
v2 = P... |
Imports:
```python
from math import floor, sqrt
import typing
```
Type definitions:
Input Types: int
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: int):
v2 = int((sqrt(8 * v1 + 1) - 1) / 2)
v3 = int((v2 ** 2 + v2) / 2)
v4 = v1 - v3
v5 = v2 - v4
return [v5, v4]
``` |
Imports:
```python
from pathlib import Path
import typing
```
Type definitions:
Input Types: os.PathLike, hirise.CCDID, Path
Output Type: Path
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: os.PathLike, v2: hirise.CCDID, v3: Path) -> Path:
if str(v1).startswith('.'):
return v3 / Path(str(v... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Optional[dict]
Output Type: None
Dependencies:
```python
def v0() -> list[list[Entity]]:
v1 = []
v1.append([Rook([0, 0], 'black'), Knight([1, 0], 'black'), Bishop([2, 0], 'black'), Queen([3, 0], 'black'), King([4, 0], 'black'), Bishop([5, 0], ... |
Imports:
```python
from logging import basicConfig, exception, debug, error, info, warning, getLogger
import typing
```
Type definitions:
Input Types: list
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: list):
v2 = {}
for v3 in v1:
if len(v3.split(':')) > 2:
... |
Imports:
```python
import json
import typing
```
Type definitions:
Input Types:
Output Type: str
Dependencies:
```python
def v0(v1: object) -> Union[ReturnTypes, util.JSONSerializable]:
if isinstance(v1, BaseModel):
return v1.dict(by_alias=True, exclude_none=True)
return util.api_boundary_json_encoder... |
Imports:
```python
import numpy as np
from scipy.ndimage.measurements import center_of_mass
from scipy.spatial.distance import pdist, squareform
import typing
```
Type definitions:
Input Types: np.ndarray, np.ndarray, np.ndarray, np.ndarray, float, bool
Output Type: float
Dependencies:
Function Name: v0
Function:
```... |
Imports:
```python
import logging
from sklearn.svm import SVR
from sklearn.decomposition import PCA
from sklearn.manifold import TSNE
from sklearn.neighbors import NearestNeighbors
import typing
```
Type definitions:
Input Types: int, float, np.ndarray, float, int, int
Output Type: None
Dependencies:
Function Name: v... |
Imports:
```python
import asyncio
import typing
```
Type definitions:
```python
@dataclass
class v0:
v1: Dict[BackendTag, BackendInfo] = field(default_factory=dict)
v2: Dict[EndpointTag, TrafficPolicy] = field(default_factory=dict)
v3: Dict[BackendTag, Tuple[EndpointTag, Any]] = field(default_factory=dict)
... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Optional[torch.Tensor], Optional[torch.Tensor], int
Output Type: torch.Tensor
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: Optional[torch.Tensor]=None, v2: Optional[torch.Tensor]=None, v3: int=1) -> torch.Tensor:
v4 = self... |
Imports:
```python
import typing
```
Type definitions:
```python
v0 = Dict[str, str]
```
```python
v1 = Dict[str, Any]
```
Input Types: v0
Output Type: v1
Dependencies:
Function Name: v2
Function:
```python
def v2(self, v3: v0) -> v1:
v4 = self.header.setdefault('glonass_slot', {})
if 'num_satellite' in v3:
... |
Imports:
```python
import typing
```
Type definitions:
```python
class v0:
def __init__(self, v1):
self.num = v1
self.left = None
self.right = None
```
Input Types: v0
Output Type: Any
Dependencies:
Function Name: v2
Function:
```python
def v2(self, v3: v0):
if not v3:
return
... |
Imports:
```python
import typing
```
Type definitions:
Input Types: int, str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: int, v2: str):
with self.conn.cursor() as v3:
v3.execute('UPDATE channels SET discord_command_prefix = %s WHERE channel_id = %s', [v2, v1])
... |
Imports:
```python
import requests
import typing
```
Type definitions:
Input Types: Any, dict
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1='http://localhost:4891/read', v2: dict=None):
v3 = requests.post(url=v1, params=v2)
return v3.json()
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: Dict[str, Any], Dict[str, Any]
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: Dict[str, Any], v2: Dict[str, Any]) -> None:
v3 = v1['pubsubTarget']['attributes'] if 'pubsubTarget' in v1 else {}
v4 = {**v... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> None:
super().move()
for (v1, v2, v3) in self.movements:
if v2 is not None and v3 is not None:
v1.n_moves -= 2
``` |
Imports:
```python
import os
import io
import shutil
import argparse
import zipfile
import typing
```
Type definitions:
Input Types:
Output Type: argparse.ArgumentParser
Dependencies:
```python
def v0(v1: str, v2: str, v3: Dict):
v4 = fypp.Processor(evaluator=fypp.Evaluator(env=v3))
for (v5, v6, v7) in os.wal... |
Imports:
```python
import numpy as np
import typing
```
Type definitions:
Input Types: Any, Any, int, int
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1, v2, v3: int=None, v4: int=None):
v5 = np.sqrt(len(self.input_cells))
v6 = v1.shape[1]
v7 = v1.shape[0]
v8 = in... |
Imports:
```python
import typing
```
Type definitions:
Input Types: viewers.Viewer
Output Type: pd.Index
Dependencies:
```python
@functools.lru_cache(maxsize=1)
def v0(v1: viewers.Viewer=bootstrap.VIEWER) -> pd.DataFrame:
return v1.get_df(ports.SECURITIES, ports.SECURITIES)
```
Function Name: v2
Function:
```pytho... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: typing.NoReturn
Dependencies:
Function Name: v0
Function:
```python
def v0() -> typing.NoReturn:
(v1, v2) = map(int, input().split())
v3 = 10 ** 9 + 7
print((v2 - 1) * pow(v2 - 2, v1 - 1, v3) % v3)
``` |
Imports:
```python
import pandas as pd
import typing
```
Type definitions:
Input Types: str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str):
v2 = pd.read_csv(v1).drop_duplicates(['epoch', 'iter'], keep='last', inplace=True)
return v2
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: str
Output Type: Tuple[str, str, str]
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str) -> Tuple[str, str, str]:
v2 = v1.find('> GO')
(v3, v4) = (v1[:v2], v1[v2:])
(v5, v6) = v3.strip().split(' ', 1)
(v7, v8) = v4.sp... |
Imports:
```python
import typing
```
Type definitions:
```python
class v0:
def __init__(self, v1):
self.word: str = v1[4]
self.location = v1[:4]
```
Input Types: int, v0, List[v0]
Output Type: bool
Dependencies:
Function Name: v2
Function:
```python
def v2(self, v3: int, v4: v0, v5: List[v0]) -> b... |
Imports:
```python
import requests
import typing
```
Type definitions:
Input Types:
Output Type: int
Dependencies:
Function Name: v0
Function:
```python
def v0() -> int:
v1 = 'http://np-anotice-stock.eastmoney.com/api/security/ann'
v2 = {'sr': '-1', 'page_size': '100', 'page_index': '1', 'ann_type': 'KCB', '... |
Imports:
```python
import typing
```
Type definitions:
Input Types: int
Output Type: str
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: int) -> str:
if v1 not in self.respondents:
return 'No comment.'
(v2, v2, v3) = self.respondents[v1]
return v3 if v3 else 'No comment.'
``` |
Imports:
```python
import typing
```
Type definitions:
```python
class v0(Enum):
v1 = 'v1'
v2 = 'v2'
v3 = 'magic-eden-v1'
```
```python
class v4(Enum):
v5 = 'devnet'
v6 = 'mainnet-beta'
```
```python
class v7:
def __init__(self, v8: str=None, v9: List[int]=None, v10: str=None, v11: Union[str, D... |
Imports:
```python
import numpy as np
import typing
```
Type definitions:
Input Types: np.ndarray, sparse.csr_matrix, 'list[float]', str
Output Type: 'tuple[np.matrix, np.ndarray]'
Dependencies:
```python
def v0(v1: np.ndarray, v2: sparse.csr_matrix, v3: str) -> np.matrix:
if not '-q' in v3:
v3 += ' -q'
... |
Imports:
```python
import shutil
from pathlib import Path
import typing
```
Type definitions:
Input Types: Path, Path, bool
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: Path, v2: Path, v3: bool=True):
v1 = Path(v1)
v2 = Path(v2)
v4 = self.base_path / v1 / 'out'
... |
Imports:
```python
import typing
```
Type definitions:
Input Types: bool
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: bool):
self.filename_valid = v1
self.validate_ok()
``` |
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.all_info_states.items():
v3 = v1[self.player]
v3 = self.simplify_state(v3)
v4 = self._num_hidden_stones(v1)
... |
Imports:
```python
import typing
```
Type definitions:
```python
v0 = NodeKey
```
Input Types: v0, float, str
Output Type: Tuple[bool, bool]
Dependencies:
Function Name: v1
Function:
```python
def v1(self, v2: v0, v3: float, v4: str) -> Tuple[bool, bool]:
if self.ema_error is None:
self.ema_error = v3
... |
Imports:
```python
import typing
```
Type definitions:
```python
@dataclass
class v0:
v1: List[str]
v2: List[List[int]]
v3: int
v4: int
```
Input Types: v0, int, int
Output Type: Any
Dependencies:
Function Name: v5
Function:
```python
def v5(v6: v0, v7: int, v8: int):
if v8 > 0:
yield ((v7,... |
Imports:
```python
import numpy as np
import typing
```
Type definitions:
Input Types: int, List[Tuple[float, float]]
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: int, v2: List[Tuple[float, float]]):
v3 = len(v2)
v4 = np.reshape(np.random.rand(v1 * v3), [v1, v3])
v5 = np... |
Imports:
```python
import typing
```
Type definitions:
Input Types: abc.Client
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: abc.Client, /) -> None:
if not self._client or self._client != v1:
raise RuntimeError("Component isn't bound to this client")
for (v2, v... |
Imports:
```python
import string
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:
v3 = ''
if v2 != '':
v1 = v1.split(v2)
for v4 in v1:
v3 += self._decrypt_num(v4)
ret... |
Imports:
```python
import typing
```
Type definitions:
Input Types: float
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: float) -> None:
super().update(v1)
for (v2, v3, v4) in zip(self.finger_bodies, self.finger_motors, [-1, 1]):
v5 = v2.angle - self.body.angle
... |
Imports:
```python
import typing
```
Type definitions:
```python
v0 = TypeVar('X')
```
Input Types: v0, MutableMapping[v0, v0]
Output Type: v0
Dependencies:
Function Name: v1
Function:
```python
def v1(v2: v0, v3: MutableMapping[v0, v0]) -> v0:
if v2 not in v3:
raise ValueError(f'Unknown element: {v2}.')
... |
Imports:
```python
import typing
```
Type definitions:
```python
class v0:
def __init__(self, v1=1.0, v2=1.0):
self._height: float = v1
self._width: float = v2
def v3(self, v4: float):
self._height = v4
def v5(self, v6: float):
self._width = v6
def v7(self) -> float:
... |
Imports:
```python
import os
from datetime import datetime
import numpy as np
import typing
```
Type definitions:
Input Types: str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str=''):
v2 = os.environ.get('HOME') + '/Desktop/save-flight-' + v1 + '-' + datetime.now().strfti... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Text, Dict[Text, Any], Text
Output Type: tf.Tensor
Dependencies:
```python
def v0(v1: Dict[Text, Any], v2: Text='/', v3: Text='') -> Sequence[Text]:
v4 = []
for (v5, v6) in v1.items():
v7 = v5 if not v3 else f'{v3}{v2}{v5}'
if ... |
Imports:
```python
from tqdm import tqdm
import typing
```
Type definitions:
Input Types: Any, Any, dict
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1, v2, v3: dict):
with open(v2, mode='w', encoding='utf-8') as v4:
print('Writing ' + v2)
for v5 in tqdm(v1, total=l... |
Imports:
```python
import typing
```
Type definitions:
Input Types: dict
Output Type: dict
Dependencies:
Function Name: v0
Function:
```python
async def v0(self, v1: dict=None) -> dict:
await self.async_set_unique_id(self.DOMAIN)
self._abort_if_unique_id_configured()
assert self.hass is not None
if se... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str, Union[Sequence[torch.Tensor], None]
Output Type: Sequence[int]
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str, v2: Union[Sequence[torch.Tensor], None]=None) -> Sequence[int]:
if not hasattr(self, '_unique_params_idx... |
Imports:
```python
import typing
```
Type definitions:
Input Types: List[float], List[float]
Output Type: Tuple[Tuple[float, float, float], Tuple[float, float, float], Tuple[float, float, float], Tuple[float, float, float], Tuple[float, float, float], Tuple[float, float, float], Tuple[float, float, float], Tuple[float... |
Imports:
```python
import pandas as pd
import typing
```
Type definitions:
Input Types: pd.DataFrame
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: pd.DataFrame):
assert type(v1) == pd.DataFrame
v2 = 100 * (1 - v1.count() / v1.apply(len))
v2 = v2.reset_index()
v2.colum... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Dict[str, float], str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: Dict[str, float], v2: str):
if self.metrics_to_log is None:
v3 = sorted(v1.keys())
else:
v3 = self.metrics_to_log
... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: str
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> str:
v1 = ''
for (v2, v3) in enumerate(self.array):
if v2 % 3 == 0 and v2 != 0:
v1 += f"{'-' * 21}\n"
v4 = ''
for (v5, v... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: Dict[str, List[int]]
Dependencies:
```python
@functools.lru_cache()
def v0(v1: bool):
return lsc.PCQM4MDataset(only_smiles=v1)
```
Function Name: v2
Function:
```python
def v2() -> Dict[str, List[int]]:
v3 = v0(only_smiles=True)
... |
Imports:
```python
import copy
import typing
```
Type definitions:
Input Types: Optional[str], bool
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: Optional[str]=None, v2: bool=False, **v3):
v4 = copy.deepcopy(self)
if v1:
if v2:
v4.message = v1
... |
Imports:
```python
import torch
import torch.nn as nn
import torch.nn.functional as F
import typing
```
Type definitions:
Input Types: Any, Any, Any, int
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1, v2, v3=True, v4: int=None):
v5 = nn.Linear(v1, v2, bias=v3)
if v4 is not Non... |
Imports:
```python
import asyncio
import typing
```
Type definitions:
```python
class v0(Event):
v1 = MockEventType
v2 = 0
```
Input Types: v0
Output Type: Any
Dependencies:
Function Name: v3
Function:
```python
async def v3(self, v4: v0) -> Any:
await asyncio.sleep(0.1)
v4.data += 1
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: str
Output Type: str
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str) -> str:
while v1.startswith('../'):
v1 = v1[3:]
return v1
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: dict
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> dict:
v1 = {}
if hasattr(self, 'public_id'):
v1['publicId'] = self.public_id
return v1
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: Optional[str]
Output Type: None
Dependencies:
```python
def v0() -> None:
import ethereum.frontier.spec as slow_spec
from . import spec as fast_spec
slow_spec.validate_proof_of_work = fast_spec.validate_proof_of_work
```
```python
def v1(v... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Any
Output Type: bool
Dependencies:
Function Name: v0
Function:
```python
def v0(v1) -> bool:
v2 = v1 & v1 >> 7
if v2 & v2 >> 14:
return True
v2 = v1 & v1 >> 6
if v2 & v2 >> 12:
return True
v2 = v1 & v1 >> 8
if... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str
Output Type: list
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str) -> list:
v2 = []
v3 = v1.splitlines()
for v4 in v3:
v5 = v4.find(':')
v2.append({'name': v4[:v5], 'mangoes': v4[v5 + 1:].split('>(u*... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str
Output Type: str
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str) -> str:
v2 = len(v1)
if v2 == 0:
return ''
v3 = 1
v4 = 0
v5 = 0
v6 = {}
for v7 in range(v2):
v6[v7, v7] = True
... |
Imports:
```python
import math
import typing
```
Type definitions:
Input Types: np.ndarray, np.ndarray, np.ndarray
Output Type: Any
Dependencies:
```python
def v0(v1: np.ndarray, v2: np.ndarray) -> typing.Tuple[float, float, float]:
[v3, v4] = v1
[v5, v6] = v2
v7 = v5 - v3
v8 = v6 - v4
if v7 == 0 a... |
Imports:
```python
import typing
```
Type definitions:
Input Types: dict, int
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: dict, v2: int) -> None:
assert v1['n/ep'] > 0
(v3, v4) = (v1['rews'], v1['lens'])
(v5, v6, v7, v8) = (v3.mean(), v3.std(), v4.mean(), v4.std(... |
Imports:
```python
import typing
```
Type definitions:
Input Types: int, Union[None, str], str
Output Type: bool
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: int=80, v2: Union[None, str]=None, v3: str='tcp') -> bool:
v4: List[int] = self.get_process_pid_by_listen_port(v1, v2, v3)
if le... |
Imports:
```python
import glob
import subprocess
import typing
```
Type definitions:
Input Types: str
Output Type: Any
Dependencies:
```python
def v0(v1=[], v2=[]):
for v3 in v1:
v4 = ['tar', '-xvf', v3, '-C', WHEEL_BUILD_DIR]
subprocess.check_call(v4)
for v3 in v2:
v4 = ['unzip', v3, '... |
Imports:
```python
import typing
```
Type definitions:
```python
class v0(Operation):
v1: str = '/dsmcontroller/admin/namespaces/{namespace}/configs/deployments/{deployment}/overrides/versions/{version}/regions/{region}'
v2: str = 'POST'
v3: List[str] = ['application/json']
v4: List[str] = ['application... |
Imports:
```python
import typing
```
Type definitions:
```python
class v0:
def __init__(self, v1, v2=None, v3=None):
"""
Constructor for a node, the sub-trees can be omitted if
there is no value for these.
:param value: The node payload.
:param left: the left... |
Imports:
```python
import json
import typing
```
Type definitions:
Input Types: dict
Output Type: dict
Dependencies:
```python
def v0(v1: str, v2: dict=None, v3: dict=None) -> dict:
v4 = urllib.request.Request(url=v1, headers=v2)
if v3:
v4.data = bytes(json.dumps(v3), encoding='utf8')
v5 = urllib.r... |
Imports:
```python
import typing
```
Type definitions:
```python
class v0(dict):
def v1(self, v2: str, v3: str) -> None:
super().__setitem__(v2.lower(), v3)
def v4(self, v5: str) -> bool:
return super().__contains__(v5.lower())
def v6(self, v7: str) -> str:
return super().__getite... |
Imports:
```python
import typing
```
Type definitions:
```python
class v0(ConfigurationData):
v1: Dict[str, v0] = {}
v2: str = 'default'
v3: Optional[Union[CascadeAppend, CascadeReplace, CascadeBaseProfile]] = None
def v4(self, v5: str, v6: v0, v7: Union[CascadeAppend, CascadeReplace, CascadeBaseProfil... |
Imports:
```python
import re
import typing
```
Type definitions:
Input Types: bytes, List[bytes]
Output Type: List[bytes]
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: bytes, v2: List[bytes]) -> List[bytes]:
v3 = []
for v4 in v2:
if not re.search(b'\n', v4):
continue
... |
Imports:
```python
import os
import pandas as pd
import typing
```
Type definitions:
Input Types: bool
Output Type: pd.DataFrame
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: bool) -> pd.DataFrame:
if v1:
v2 = 'PATH_DATASET'
else:
v2 = 'PATH_DATASET_EXPANDED'
return pd.rea... |
Imports:
```python
import math
import torch
import torch.nn.functional as F
import typing
```
Type definitions:
Input Types: torch.Tensor, torch.Tensor, int
Output Type: torch.Tensor
Dependencies:
```python
def v0(v1: torch.Tensor, v2: int=50) -> torch.Tensor:
raise_error_if_laf_is_not_valid(v1)
(v3, v4, v5, v... |
Imports:
```python
import requests
import typing
```
Type definitions:
Input Types:
Output Type: Optional[str]
Dependencies:
Function Name: v0
Function:
```python
def v0() -> Optional[str]:
v1 = 'http://metadata.google.internal/computeMetadata/v1/instance/zone'
v2 = {'Metadata-Flavor': 'Google'}
v3 = req... |
Imports:
```python
import io
import typing
```
Type definitions:
Input Types:
Output Type: bytes
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> bytes:
with io.BytesIO() as v1:
self.Write(v1)
return v1.getvalue()
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: dict, Any
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: dict, v2=''):
v3 = {}
for (v4, v5) in v1.items():
v6 = '.'.join([v2, v4]).strip('.')
if isinstance(v5, dict):
v3[v4] =... |
Imports:
```python
import typing
```
Type definitions:
```python
class v0(so.SubclassableObject, s_anno.AnnotationSubject, s_abc.Type):
v1 = so.SchemaField(s_expr.Expression, default=None, coerce=True, compcoef=0.909)
v2 = so.SchemaField(ExprType, default=None, compcoef=0.909)
v3 = so.SchemaField(bool, defa... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Optional[str], str, str, Any
Output Type: Optional[str]
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: Optional[str], v2: str, v3: str='w3c', v4=None) -> Optional[str]:
if v4 is None:
v4 = ['source', 'id']
elif isinsta... |
Imports:
```python
import typing
```
Type definitions:
Input Types: dict
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: dict) -> None:
self.log_info(v1, 'authentication succeeded')
if v1['auth_token'] is not None:
self._openvpn.send_command('client-auth %s %s\np... |
Imports:
```python
import os
import tempfile
import zipfile
from tqdm.auto import tqdm
import typing
```
Type definitions:
Input Types: bool
Output Type: 'ads.secrets.adb.ADBSecretKeeper'
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: bool=False) -> 'ads.secrets.adb.ADBSecretKeeper':
if v1:
... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: Dict[str, Dict[str, str]]
Dependencies:
Function Name: v0
Function:
```python
def v0() -> Dict[str, Dict[str, str]]:
v1 = {}
v1['name'] = '流動廁所－出租'
v1['id'] = 'mobile-toilets'
v2 = {}
v2['mobile-toilets'] = '流動廁所'
... |
Imports:
```python
import torch
import torch.nn as nn
import torch.nn.functional as F
import typing
```
Type definitions:
Input Types: torch.Tensor, bool
Output Type: (torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor)
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: torch.Tenso... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> None:
if self.process is not None:
self.process.terminate()
print('Server stopped')
self.process = None
else:
print('Server... |
Imports:
```python
import json
import subprocess
import sys
from pathlib import Path
import typing
```
Type definitions:
```python
class v0(NamedTuple):
v1: Path
v2: str
v3: str
v4: bool
v5: bool
@property
def v6(self):
return f'{self.crate_name}:{self.cargo_target}'
```
Input Types... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: float
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> float:
if len(self.future_eps) > 0:
self.epsilon = self.future_eps.pop(0)
return self.epsilon
``` |
Imports:
```python
import pandas as pd
import typing
```
Type definitions:
Input Types: object
Output Type: pd.DataFrame
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: object=None) -> pd.DataFrame:
if self.loggingEnabled:
self.logger.debug(f'Starting transformToDataFrame')
v2 = v... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str, str, int
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str, v2: str, v3: int, /) -> None:
v4 = self.__read_del(v1, v2)
v4.ac_expire = v3
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: dict
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> dict:
v1 = self._profile_template['stat'].values
v2 = {}
for v3 in v1:
v2[v3] = self._stats[v3]
return v2
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: bytes
Output Type: str
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: bytes) -> str:
v2 = b'\xfe\xff'
v3 = b'\xff\xfe'
v4 = b'\xef\xbb\xbf'
v5 = b'\x00\x00\xfe\xff'
v6 = b'\xff\xfe\x00\x00'
v7 = len(v1)
if ... |
Imports:
```python
import matplotlib.pyplot as plt
from math import ceil
from math import floor
import warnings
from datetime import datetime
import typing
```
Type definitions:
Input Types: Any, Any, List['str'], List, Any, int, Any
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1... |
Imports:
```python
import torch
import typing
```
Type definitions:
Input Types: torch.tensor, float, float
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: torch.tensor, v2: float, v3: float) -> None:
with torch.no_grad():
v4 = 0
v5 = torch.tensor(self.dones)... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: str
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> str:
if ~self.get_url().find('/manga/'):
self.__new_url()
return self._get_name('/(?:read-|manga/)(\\w+)')
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> None:
self.sources = dict(source_id=dict(type=self.SOURCE_TYPE, parameters=dict(url=f'https://{self.SOURCE_TYPE}')))
self.metric = dict(type=self.METRIC_TY... |
Imports:
```python
import typing
```
Type definitions:
Input Types: float
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: float) -> None:
if not isinstance(v1, float):
raise TypeError('Do-nothing worth must be a floating number.')
if v1 < 0.0:
raise Value... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Dict[str, Any], bool
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: Dict[str, Any], v2: bool=False) -> None:
if not v2 and set(self._metadata).intersection(set(v1)):
raise ValueError(f'Cannot overwr... |
Imports:
```python
import numpy as np
import scipy.optimize as optimize
from scipy.stats import norm
from scipy.interpolate import splrep, splev
from scipy.linalg import expm
import typing
```
Type definitions:
Input Types: Union[np.ndarray, float], float, float
Output Type: Union[np.ndarray, float]
Dependencies:
Fun... |
Imports:
```python
from .io import serve
from .io.document import init_doc
from .io.embed import embed_state
from .io.loading import start_loading_spinner, stop_loading_spinner
from .io.model import add_to_doc, patch_cds_msg
from .io.notebook import ipywidget, render_mimebundle, render_model, show_embed, show_server
fr... |
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