text stringlengths 190 325k |
|---|
Imports:
```python
import typing
```
Type definitions:
Input Types: Optional[str]
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: Optional[str]) -> None:
v2 = self.build_pp_header(v1)
self.write(v2)
``` |
Imports:
```python
import base64
import typing
```
Type definitions:
Input Types: str, str
Output Type: str
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str, v2: str) -> str:
v3 = f'{v1}:{v2}'
v4 = base64.b64encode(v3.encode(encoding='utf-8'))
return v4.decode()
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: List[int]
Output Type: str
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: List[int]) -> str:
v2 = ''
for v3 in range(2, -1, -1):
v4 = v1[:]
if self.removeIfExits(v4, v3):
v2 = str(v3)
... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str):
v2 = open(v1 + self.extension, 'r')
v3 = v2.readlines()
v2.close()
return v3
``` |
Imports:
```python
import random
import typing
```
Type definitions:
Input Types: int, int, Any
Output Type: List[int]
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: int, v2: int, v3=[]) -> List[int]:
v4 = list()
for v5 in range(v2):
v6 = random.randint(0, v1 - 1)
while v6 in v... |
Imports:
```python
import re
import typing
```
Type definitions:
Input Types: str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str):
v2 = v1.split('/')
v2 = v2[-1].split('\\')
v2 = v2[-1].split('.')
v3 = re.findall('\\d', v2[0])
return int(v3[-1])
``` |
Imports:
```python
import torch
import typing
```
Type definitions:
Input Types: torch.Tensor
Output Type: torch.Tensor
Dependencies:
```python
def v0(v1, v2, v3=1e-06):
v4 = 1.0
v5 = torch.sqrt(v2)
v6 = v1 / (v5 + v3)
(v7, v8, v9) = torch.chunk(v6, 3, dim=1)
v10 = torch.cos(v5)
v11 = torch.sin... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: str
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> str:
v1 = [str(i) for v2 in self.puzzle.flatten()]
return ' '.join(v1)
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: int
Output Type: Optional[int]
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: int) -> Optional[int]:
for v2 in range(1, v1):
v3 = []
for v4 in range(v1 - 1):
v5 = pow(v2, v4, v1)
if v5 in v3... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: str
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> str:
v1 = self.getMediumName()
if self.sLink:
v1 += ' - ' + self.sLink
return v1
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: int, int, Optional[int]
Output Type: int
Dependencies:
```python
def v0(v1: float) -> int:
v1 = int(v1)
if v1 == 0:
return 1
else:
return v1
```
Function Name: v2
Function:
```python
def v2(v3: int, v4: int=30, v5: Optional... |
Imports:
```python
import typing
```
Type definitions:
```python
class v0:
def __init__(self, v1: str):
self.addedNodes_: List[str] = []
self.removedNodes_: List[str] = []
self.ancestors_: List['Transformation'] = []
self.scopeName_: str = ''
self.transID_: str = v1
... |
Imports:
```python
import logging
import os
import typing
```
Type definitions:
Input Types: str, int
Output Type: logging.StreamHandler
Dependencies:
```python
def v0() -> logging.Formatter:
return logging.Formatter(fmt='[%(levelname)s %(asctime)s] %(output_name)s: %(message)s', datefmt='%m-%d %H:%M:%S')
```
```p... |
Imports:
```python
import numpy as np
import typing
```
Type definitions:
Input Types: 'Mobject', bool, bool, bool, bool, bool, bool
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: 'Mobject', v2: bool=True, v3: bool=False, v4: bool=False, v5: bool=False, v6: bool=False, v7: bool=... |
Imports:
```python
import json
import typing
```
Type definitions:
Input Types: dict
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: dict):
v1['metadata']['annotations']['tekton.dev/artifact_items'] = json.dumps(v1['metadata']['annotations']['tekton.dev/artifact_items'])
return... |
Imports:
```python
from io import StringIO
import typing
```
Type definitions:
Input Types: str, str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str, v2: str):
v3 = StringIO(v2)
v3.name = v1
return v3
``` |
Imports:
```python
import re
from collections import OrderedDict
import typing
```
Type definitions:
Input Types: str
Output Type: OrderedDict
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str) -> OrderedDict:
v2 = []
for v3 in re.findall('\\$\\w+', v1):
if v3[1:] not in v2:
... |
Imports:
```python
import typing
```
Type definitions:
```python
class v0(NativeMember, NativeFunction):
def __init__(self, v1, v2: BaseConfig, v3: 'NativeObject'=None) -> None:
NativeFunction.__init__(self, v1, v2, NativeMethodImplement, v3)
NativeMember.__init__(self, v1, v2)
self._getter... |
Imports:
```python
from importlib import import_module
import typing
```
Type definitions:
Input Types: str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str) -> Any:
try:
(v2, v3) = v1.rsplit('.', 1)
except ValueError:
v4 = f"{v1} doesn't look like a module p... |
Imports:
```python
import typing
```
Type definitions:
Input Types: List[Any]
Output Type: bool
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: List[Any]) -> bool:
if v1 is None or isinstance(v1, str):
return False
for v2 in v1:
if not isinstance(v2, (int, float)):
r... |
Imports:
```python
import numpy as np
from skimage import filters, transform
import typing
```
Type definitions:
Input Types: np.ndarray, Tuple[int, int], Tuple[int, int], Tuple[int, int]
Output Type: np.ndarray
Dependencies:
```python
def v0(v1: np.ndarray, v2: Tuple[int, int]) -> np.ndarray:
v3 = v1.shape
v4... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str, str
Output Type: float
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str, v2: str) -> float:
v3 = self.feature_counts.get(v1, {}).get(v2, 0.0) + self.alpha
v4 = self.class_counts[v2] + self.alpha * 2
return v3 ... |
Imports:
```python
import typing
```
Type definitions:
Input Types: list, list
Output Type: list
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: list, v2: list) -> list:
v3 = v1.copy()
v4 = v2.copy()
v5 = []
v6 = 0
for v7 in v3:
while v6 < len(v4) and v7 > v4[v6]:
... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str):
self._check_mutable()
self._check_filename(v1)
self._client.draft.file_delete(self._parent.id, v1)
assert self._entries is not None
se... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str):
if v1.startswith('#'):
v1 = v1[1:]
return tuple((int(v1[i:i + 2], 16) / 255.0 for v2 in (0, 2, 4)))
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: logging.LogRecord
Output Type: str
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: logging.LogRecord) -> str:
v2 = super().format(v1)
if self.should_color():
for (v3, v4) in self.COLORS:
if v1.levelno ... |
Imports:
```python
import os, sys, multiprocessing, hashlib, ast, time, re
import typing
```
Type definitions:
Input Types: str, bool
Output Type: dict
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str, v2: bool=True) -> dict:
v3 = {}
v4 = None
if os.path.isdir(v1):
for v5 in os.l... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str):
v2 = self.packages['object']['pins']
v3 = [index for (v4, v5) in enumerate(v2) if v5['package'] == v1]
if len(v3) == 0:
raise Exceptio... |
Imports:
```python
import sys
import shutil
import logging
import subprocess
import typing
```
Type definitions:
Input Types: argparse.Namespace
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: argparse.Namespace) -> None:
if sys.version_info < (3, 8):
raise RuntimeError('W... |
Imports:
```python
import os
import sys
from pprint import pprint
import typing
```
Type definitions:
Input Types: List[str]
Output Type: List[str]
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: List[str]) -> List[str]:
v2 = []
for v3 in v1:
if os.path.isfile(v3):
v4 = os.p... |
Imports:
```python
import numpy as np
import scipy.sparse as sp
import scipy.io as io
from scipy.stats import mode
import logging
import typing
```
Type definitions:
```python
class v0:
def __init__(self, v1: str, v2: str, v3: bool, v4: int, v5: List[float], v6: Optional[int]=None, v7: int=consts.TOTAL_DROPLET_DEF... |
Imports:
```python
import typing
```
Type definitions:
Input Types: 'ParameterSweep', Union['QubitBaseClass', 'Oscillator'], float, Tuple[Figure, Axes]
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: 'ParameterSweep', v2: Union['QubitBaseClass', 'Oscillator'], v3: float, v4: Tuple[Fig... |
Imports:
```python
import torch
from torch.fx.experimental.fx2trt import lower_to_trt
import typing
```
Type definitions:
Input Types: int, Any
Output Type: float
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: int, v2, *v3) -> float:
with torch.inference_mode():
v2(*v3)
torch.cuda.sync... |
Imports:
```python
from random import randint
import typing
```
Type definitions:
Input Types: str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str):
v2 = (randint(0, self.__height), randint(0, self.__width))
while not self.__is_valid_postion(v2):
v2 = (randint... |
Imports:
```python
import typing
```
Type definitions:
Input Types: tf.Tensor, int, int
Output Type: tf.Tensor
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: tf.Tensor, v2: int, v3: int=2) -> tf.Tensor:
v4 = v1
v1 = BatchNormalization()(v1)
v1 = ReLU()(v1)
v1 = Conv2D(v2, (1, 1), strid... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Dict[str, str]
Output Type: str
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: Dict[str, str]) -> str:
v2 = v1['content']
v3 = v1['sender_email']
v4 = 'from %s: ' % (v3,)
v5 = v4 + v2
return v5
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: Any
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1) -> None:
if not v1.strip():
return
self._groups.append(v1.strip())
``` |
Imports:
```python
import os
import json
import typing
```
Type definitions:
Input Types: Any, str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: Any, v2: str):
os.makedirs(os.path.dirname(v2), exist_ok=True)
with open(v2, mode='wt', encoding='utf-8') as v3:
json.dump(... |
Imports:
```python
import typing
```
Type definitions:
Input Types: int
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: int):
if self.ref_idx is not None:
self.ref_idx = v1
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: Any, str, list
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
async def v0(self, v1, v2: str='', v3: list=[]):
if v1.author.bot:
return
if 'discord' not in v3:
await self.safe_exc(self.handle_invite, v1, ... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: None
Dependencies:
```python
@time_box(time_box_enabled=_tbe, file=sys.stdout)
def v0() -> None:
print('this is sample text for _tbe = False static example')
```
```python
@time_box(time_box_enabled=_tbe, file=sys.stdout)
def v1() ->... |
Imports:
```python
from datetime import datetime
from datetime import timedelta
import typing
```
Type definitions:
Input Types: Any, datetime, datetime
Output Type: Tuple[datetime, datetime]
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: Any, v2: datetime, v3: datetime) -> Tuple[datetime, datetime]:
... |
Imports:
```python
import typing
```
Type definitions:
```python
v0 = TypeVar('_T')
```
Input Types: v0
Output Type: v0
Dependencies:
Function Name: v1
Function:
```python
def v1(v2: v0) -> v0:
v2.__module__ = 'neuro_sdk'
return v2
``` |
Imports:
```python
import torch
from torch.nn import functional as F
import typing
```
Type definitions:
Input Types: torch.Tensor, float
Output Type: torch.Tensor
Dependencies:
```python
def v0():
v1 = torch.sqrt(1.0 + m00 - m11 - m22 + eps) * 2.0
v2 = safe_zero_division(m21 - m12, v1)
v3 = 0.25 * v1
... |
Imports:
```python
import pandas as pd
import urllib.request
from urllib.parse import urlparse
import typing
```
Type definitions:
Input Types: str
Output Type: Any
Dependencies:
```python
def v0(v1: str):
v2 = v1.find_all('sitemap')
v3 = []
for v4 in v2:
v3.append(v4.findNext('loc').text)
retu... |
Imports:
```python
import numpy as np
import typing
```
Type definitions:
Input Types: int, Any
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: int, v2=2):
v3 = []
for v4 in range(v1):
if v4 % 2 == 0:
v3.append(3 ** v4 + 7 * np.math.factorial(v4))
el... |
Imports:
```python
import random
import typing
```
Type definitions:
Input Types:
Output Type: (int, int)
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> (int, int):
v1 = self.get_pairs_without_edges()
if len(v1) == 0:
return None
(v2, v3) = random.choice(v1)
self.add_edge... |
Imports:
```python
import subprocess
import os.path as osp
import typing
```
Type definitions:
```python
@dataclass
class v0:
v1: str
v2: int
v3: float = 1.0
```
Input Types: int, v0
Output Type: Any
Dependencies:
```python
def v4(v5: int, v6: v0):
v7 = ['python', 'train_net.py', '--eval-only']
v7.e... |
Imports:
```python
import os
import typing
```
Type definitions:
Input Types: str, int, float, int, int
Output Type: List[str]
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str, v2: int, v3: float=0.002, v4: int=1, v5: int=1) -> List[str]:
v6 = os.getcwd()
os.chdir(v1)
v7 = []
v... |
Imports:
```python
import typing
```
Type definitions:
Input Types: List[int]
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: List[int]):
if len(v1) <= 1:
return
for v2 in range(len(v1)):
v3 = v2
v4 = v1[v2]
for v5 in range(v2, len(v1)):
... |
Imports:
```python
import torch
import typing
```
Type definitions:
Input Types:
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> None:
self.device = 'cuda:0'
self.batch_2d = torch.arange(1, 10).reshape(3, 3)[None, None]
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: board.Board, dict
Output Type: Any
Dependencies:
```python
def v0(v1):
print('Command failure: {}. Please try again.'.format(v1))
```
```python
def v2(v3):
if v3.isdigit():
return int(v3)
else:
v0('Failed to convert argumen... |
Imports:
```python
import torch
import torch.nn.functional as F
import typing
```
Type definitions:
Input Types: torch.Tensor, List[int]
Output Type: torch.Tensor
Dependencies:
```python
def v0(v1: torch.Tensor) -> torch.Tensor:
return F.pad(v1, pad=(1, 1, 1, 1), mode='circular', value=0)
```
Function Name: v2
Fun... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str, int, int
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str, v2: int, v3: int):
self.name = v1
self.width = v2
self.height = v3
``` |
Imports:
```python
import json
import base64
import typing
```
Type definitions:
Input Types: str, str, any
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str, v2: str, v3: any) -> None:
v4 = self.IPC.lrange(name='custome_channels', start=0, end=-1)
v5 = [[1, 2], {'a': ... |
Imports:
```python
import typing
```
Type definitions:
```python
class v0:
def __init__(self, v1, v2=None):
self.parent = v2
self.right_child = None
self.left_child = None
self.data = v1
def v3(self, v4):
self.right_child = v4
v4.parent = self
def v5(self, ... |
Imports:
```python
import typing
```
Type definitions:
Input Types: bool
Output Type: dict
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: bool=False) -> dict:
v2 = {}
if hasattr(self, 'item_id') and self.item_id:
v2['itemId'] = str(self.item_id)
elif v1:
v2['itemId'] ... |
Imports:
```python
import numpy as np
import typing
```
Type definitions:
Input Types: 'FileVariable'
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: 'FileVariable'):
v2 = v1.getAxis(0)
v3 = v1.getAxis(1)
v2[0]
v4 = v2[-1]
v3[0]
v5 = v3[-1]
v6 = getattr(v2, ... |
Imports:
```python
import re
import json
import typing
```
Type definitions:
Input Types: str, str, str, str
Output Type: Any
Dependencies:
```python
def v0(v1: str):
v2 = [re.sub('(丁目?|番([町丁])|条|軒|線|([のノ])町|地割)', '', v1)]
if re.match('^壱', v1) is not None:
v2.append('一')
v2.append('1')
... |
Imports:
```python
import os
import typing
```
Type definitions:
Input Types: int, int
Output Type: int
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: int, v2: int=os.SEEK_SET) -> int:
if v2 == os.SEEK_SET:
v3 = v1
elif v2 == os.SEEK_CUR:
v3 = self._offset + v1
elif v... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Union[Sequence, IO]
Output Type: Any
Dependencies:
```python
def v0():
return iter(source_sequence)
```
Function Name: v1
Function:
```python
def v1(self, v2: Union[Sequence, IO]):
if hasattr(v2, 'read'):
def v3():
while T... |
Imports:
```python
from qiskit.circuit import QuantumRegister, AncillaRegister
from qiskit.circuit.exceptions import CircuitError
import typing
```
Type definitions:
Input Types: Optional[int]
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: Optional[int]) -> None:
if v1:
... |
Imports:
```python
import numpy as np
import typing
```
Type definitions:
Input Types: list, list, Any, Any, Any
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: list, v2: list, v3, v4, v5=None):
for v6 in np.arange(v1[0], v2[0] + self.dx, self.dx):
for v7 in np.arange... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str, str
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str, v2: str) -> None:
if self.on_about_to_close:
self.on_about_to_close(v1, v2)
``` |
Imports:
```python
import argparse
import typing
```
Type definitions:
Input Types:
Output Type: argparse.Namespace
Dependencies:
Function Name: v0
Function:
```python
def v0() -> argparse.Namespace:
v1 = argparse.ArgumentParser(description='Neural model for NLP')
v1.add_argument('--joint_input', type=str, d... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> None:
if self.song_obj is not None:
self.download_song(self.song_obj)
``` |
Imports:
```python
import typing
```
Type definitions:
```python
@dataclasses.dataclass
class v0:
v1: str
v2: int
v3: FrozenSet[str]
v4: int
v5: int
v6: int
v7: bool = False
def v8(self) -> bool:
return 'readonly' in self.flags
def v9(self) -> bool:
return self.name... |
Imports:
```python
import os
import typing
```
Type definitions:
Input Types: Any, str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1, v2: str):
if os.path.exists(v2) is False:
os.mkdir(v2)
self.classifier.save_model(v1, v2)
``` |
Imports:
```python
import numpy as np
import typing
```
Type definitions:
Input Types: pd.DataFrame, pd.DataFrame
Output Type: pd.DataFrame
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: pd.DataFrame, v2: pd.DataFrame) -> pd.DataFrame:
v3 = v1.groupby(['ITEMCODE']).sum()['QUANTITY'].to_frame().res... |
Imports:
```python
import typing
```
Type definitions:
```python
v0 = pytypes.JTensor
```
Input Types: v0, v0
Output Type: None
Dependencies:
Function Name: v1
Function:
```python
def v1(self, v2: v0, v3: v0) -> None:
self._prng_key = v2
self._global_step = v3
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str):
v2 = self._get_url('issueLink') + '/' + v1
return self._session.delete(v2)
``` |
Imports:
```python
from copy import deepcopy
from rdkit import Chem, RDLogger
from rdkit.Chem import Draw
import typing
```
Type definitions:
Input Types: list, Any
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: list, v2=(450, 450)):
v3 = deepcopy(v1[0].ph7_mol)
for v4 in rang... |
Imports:
```python
import xarray as xr
import numpy as np
import typing
```
Type definitions:
Input Types: int, Any
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: int, v2=True):
v3 = xr.DataArray(data=np.arange(v1 * 8).reshape(1, 2, v1, 2, 2), dims=['time', 'tile', 'z', 'y', 'x'])... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str):
if v1:
return v1[:4] + '-' + v1[4:]
``` |
Imports:
```python
import pandas as pd
import typing
```
Type definitions:
Input Types: str, Any
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str, v2=None):
v3 = pd.read_csv(v1, delimiter='\t', header=None, nrows=v2)
v3.columns = ['STS', 'NLI', 'left', 'right', 'left_num', '... |
Imports:
```python
import os
from importlib import import_module
from concurrent.futures import ProcessPoolExecutor, as_completed
import typing
```
Type definitions:
Input Types: List[Dict[str, str]], Any
Output Type: None
Dependencies:
```python
def v0(v1):
print('Job: %s' % str(v1))
v2 = dyn_loader(v1['engin... |
Imports:
```python
import tensorflow as tf
import typing
```
Type definitions:
Input Types: common_types.TensorType, tf.Tensor
Output Type: tf.Tensor
Dependencies:
```python
def v0(v1: tf.Tensor, v2: tf.Tensor) -> tf.Tensor:
with tf.compat.v1.name_scope(None, 'assign_buckets'):
v3 = tf.cast(tf.shape(input=... |
Imports:
```python
import datetime
import re
import typing
```
Type definitions:
Input Types: str, pytz.timezone, pytz.timezone
Output Type: Any
Dependencies:
```python
def v0(v1: pytz.timezone):
return datetime.datetime.now(tz=v1).utcoffset().total_seconds() / 60 / 60
```
Function Name: v2
Function:
```python
def... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Dict
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: Dict):
if 'id' in v1:
self.id = v1['id']
if 'quality' in v1:
self.quality = v1['quality']
if 'icon' in v1:
self.icon = v1['... |
Imports:
```python
import torch
from torch.utils.data import Sampler, Dataset
import typing
```
Type definitions:
Input Types: List[Tuple[torch.Tensor, int]]
Output Type: Tuple[torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor]
Dependencies:
```python
def v0(v1):
return {k: torch.stack([dic[k] for v2 in v1]) ... |
Imports:
```python
import os
import tensorflow as tf
from tensorflow.python.framework import type_spec
import typing
```
Type definitions:
Input Types: tf.keras.Model
Output Type: tf.keras.Model
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: tf.keras.Model) -> tf.keras.Model:
v2 = os.path.jo... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: any
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> any:
try:
return float(self.get_text())
except:
return self.get_text()
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: int, int, Any
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: int, v2: int, v3):
self.args[0] = self.args[0][:v1] + v3 + self.args[0][v1 + v2:]
return self.args[0]
``` |
Imports:
```python
import os
import typing
```
Type definitions:
Input Types: str
Output Type: List[Any]
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str) -> List[Any]:
if v1.endswith(os.path.join('dir', 'builds', 'core-plugins')):
return [['core-plugins', [], ['plugin1.zip']]]
... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Any, Any
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1, v2) -> None:
v3 = self.get_goods_account(v1).balance
v4 = self.inventory.get_good(v1) * v2
if v4 > v3:
self.get_goods_account(v1).debi... |
Imports:
```python
import os
import sys
import typing
```
Type definitions:
Input Types: str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str):
v2 = self.get_rule(v1)
if v2 is None:
print("*** No rule '" + v1 + "' in '" + self._pakefile_class.__module__ + "'. S... |
Imports:
```python
import typing
```
Type definitions:
Input Types: List[List[float]], List[int]
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: List[List[float]], v2: List[int]):
self.features = v1
self.labels = v2
``` |
Imports:
```python
import typing
```
Type definitions:
```python
class v0:
v1 = ABCMeta
v2: int = 0
v3: Any = None
v4: int = 1
v5: int = 1
v6: Optional['AVLNode'] = None
v7: Optional['AVLNode'] = None
v8: Optional['AVLNode'] = None
def __init__(self, v9: Any, v10: Optional['AVLNode'... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: dict
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> dict:
v1 = self.background_data
self.background_data = {}
return v1
``` |
Imports:
```python
import pandas as pd
from pandas import DataFrame
import typing
```
Type definitions:
Input Types: str
Output Type: DataFrame
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str) -> DataFrame:
v2 = pd.read_csv(v1)
v2.columns = map(int, v2.columns)
return v2
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: Timers.Timer
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: Timers.Timer):
v2 = v1.kwargs['server_id']
v3 = v1.kwargs.get('connection_params', None)
if not self.reconnect(v2, v3):
v1.redo()
... |
Imports:
```python
import matplotlib as mpl
from matplotlib import pyplot
from matplotlib.testing.compare import compare_images
import typing
```
Type definitions:
Input Types: Path, Path, int
Output Type: Any
Dependencies:
```python
def v0(v1, v2=None):
path_actual.mkdir(parents=True, exist_ok=True)
v3 = path... |
Imports:
```python
import math
import typing
```
Type definitions:
```python
v0 = Tuple[int, int, int]
```
Input Types: v0
Output Type: float
Dependencies:
Function Name: v1
Function:
```python
def v1(v2: v0) -> float:
v3 = float(v2[0]) / 255
v4 = float(v2[1]) / 255
v5 = float(v2[2]) / 255
return round... |
Imports:
```python
import numpy as np
from scipy import sparse
import typing
```
Type definitions:
Input Types: sparse.spmatrix, int
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: sparse.spmatrix, v2: int):
v3 = v1.row - v2
v3 = np.where(v3 < 0, v1.shape[0] + v3, v3)
v4 = ... |
Imports:
```python
import numpy as np
import typing
```
Type definitions:
Input Types: int, int, int
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: int, v2: int, v3: int) -> None:
v4 = self.index.shard_begins[v1]
v5 = self.index.shard_ends[v1] - 1
v6 = max(v2, v4)
... |
Imports:
```python
import tensorflow as tf
import typing
```
Type definitions:
Input Types: tf.Tensor
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: tf.Tensor) -> None:
v2 = tf.shape(v1)
(v3, v4) = (v2[-2], v2[-1])
tf.assert_equal([v3, v4], [self.outer_dim, self.inn... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str
Output Type: bool
Dependencies:
```python
def v0(v1: str) -> bool:
return True
```
Function Name: v2
Function:
```python
def v2(v3: str) -> bool:
if any((c in v3 for v4 in (';', ']', '@'))):
return False
return v0(f'requirement... |
Imports:
```python
import torch
from torch import nn
import torch.distributed
import torch.nn.functional as F
import typing
```
Type definitions:
Input Types: int
Output Type: List[List[int]]
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: int) -> List[List[int]]:
v2 = list(range(torch.cuda.device_... |
Imports:
```python
import numpy as np
from scipy.sparse import spmatrix
import typing
```
Type definitions:
```python
v0 = Union[Index1D, Tuple[Index1D, Index1D], spmatrix]
```
```python
v1 = Union[slice, int, str, np.int64, np.ndarray]
```
Input Types: v0
Output Type: Tuple[v1, v1]
Dependencies:
Function Name: v2
Fun... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Any, dict
Output Type: Any
Dependencies:
```python
def v0(v1: list, v2: list):
v3 = ''
for v4 in range(len(v1)):
v5 = ' ' * (v2[v4] - len(v1[v4]))
v3 += v1[v4] + v5
return v3
```
Function Name: v6
Function:
```python
def v6... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.