text stringlengths 190 325k |
|---|
Imports:
```python
import json
import typing
```
Type definitions:
Input Types: Any, str, str
Output Type: Any
Dependencies:
```python
def v0(v1):
v2 = dict()
for v3 in v1:
v4 = v3[0]
v4 = v4.strip()
if v4 == '':
continue
if len(v3) == 2:
v5 = v3[0]
... |
Imports:
```python
from datetime import date, timedelta
import typing
```
Type definitions:
Input Types: date, int
Output Type: List[Tuple[date, int]]
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: date, v2: int=10) -> List[Tuple[date, int]]:
v3 = date.today()
v4 = v3.year - v1.year
return... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str
Output Type: list
Dependencies:
```python
def v0(v1: str) -> tuple:
v2 = [x in shift_key_codes or x in modifier_codes or x in codes for v3 in v1]
v4 = []
if False not in v2:
for v5 in v1:
if v5 in shift_key_codes:
... |
Imports:
```python
import re
import typing
```
Type definitions:
Input Types: str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str):
if 'If' in v1:
v1 = re.sub('If\\((.*?),(.*?),(.*?)\\)', '(\\g<2> if \\g<1> else \\g<3>)', v1)
if 'And' in v1:
v1 = re.sub('And... |
Imports:
```python
from itertools import permutations
import typing
```
Type definitions:
```python
@dataclass
class v0:
v1: str
v2: int
v3: int
v4: int
v5: int
v6: int
```
Input Types: Iterable[str], int, bool
Output Type: int
Dependencies:
```python
def v7(v8: Iterable[str]) -> list[v0]:
v... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> None:
print('Edit client account')
print('=' * 40)
v1 = input('Add funds? (y,n) ')
if v1 == 'y':
v2 = input('Which client id number? ')
... |
Imports:
```python
import typing
```
Type definitions:
Input Types: float, float
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: float, v2: float):
v3 = v1 >= -180 and v1 <= 180
v4 = v2 >= -90 and v2 <= 90
v5 = v3 and v4
if not v5:
return False
else:
... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: pd.Series
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> pd.Series:
if self.target == self.cv_target_sf_column:
return self.train_y
else:
v1 = self.load_x_train(all_cols=True)
return ... |
Imports:
```python
import re
import typing
```
Type definitions:
```python
@dataclass
class v0:
v1: UserType
v2: str
v3: str
```
```python
@dataclass
class v4:
v5: str
v6: UserType
v7: str
v8: str
v9: str
```
```python
@dataclass
class v10:
v11: UserType
v12: str
v13: str
... |
Imports:
```python
import typing
```
Type definitions:
Input Types: list
Output Type: dict
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: list) -> dict:
v2 = ''
for v3 in v1:
v2 += v3
return {'level': self.find_level_in_text(v2), 'name': self.find_name_in_text(v2), 'version':... |
Imports:
```python
from requests import get
from contextlib import closing
import typing
```
Type definitions:
Input Types: Any, Any
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(v1, v2) -> None:
with open(v2, 'wb') as v3:
with closing(get(v1)) as v4:
v3.write(v4... |
Imports:
```python
import math
import typing
```
Type definitions:
Input Types: int, int
Output Type: float
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: int, v2: int) -> float:
v3 = int(v1 / 2 ** self.LUT_input_V_min_log2_uV)
v4 = int(v2 / 2 ** self.LUT_input_I_min_log2_nA)
v5 = in... |
Imports:
```python
import typing
```
Type definitions:
Input Types: dict
Output Type: str
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: dict) -> str:
v2 = v1.pop('in_file')
v3 = v1.pop('tensor_file')
return f'dwi2tensor' + self.set_configuration_by_keys(v1) + f' {v2} {v3}'
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: int, int
Output Type: str
Dependencies:
```python
def v0(v1, v2, v3, v4):
if v3 == v1:
return
v5 = factorial[v1 - 1 - v3]
for v6 in range(1, v1 + 1):
if used[v6]:
continue
if v5 < v2:
v2 -= v... |
Imports:
```python
import pandas as pd
import typing
```
Type definitions:
Input Types:
Output Type: pd.DataFrame
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> pd.DataFrame:
if not hasattr(self, 'results'):
raise AttributeError('Model outputs not yet calculated: call `.run()` first.... |
Imports:
```python
import typing
```
Type definitions:
```python
v0 = Tuple[int, int, int]
```
Input Types: v0, v0
Output Type: v0
Dependencies:
Function Name: v1
Function:
```python
def v1(v2: v0, v3: v0) -> v0:
(v4, v5, v6) = v2
(v7, v8, v9) = v3
return (v4 + v7, v5 + v8 + v6 * v7, v6 + v9)
``` |
Imports:
```python
import asyncio
import typing
```
Type definitions:
Input Types: float, Path
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
async def v0(v1: float, v2: Path) -> None:
await asyncio.sleep(v1)
try:
v2.unlink()
except Exception:
pass
``` |
Imports:
```python
import typing
```
Type definitions:
```python
v0 = NamedTuple('Rule', [('path', str), ('allowed', bool)])
```
Input Types: str
Output Type: List[v0]
Dependencies:
Function Name: v1
Function:
```python
def v1(self, v2: str) -> List[v0]:
v3 = self.agents_rules.get(v2, self.agents_rules.get('*', []... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Any, int
Output Type: int
Dependencies:
```python
def v0(v1, v2):
v3 = 0
for v4 in v2:
v3 += v4 // v1
if v4 % v1:
v3 += 1
return v3 > H
```
Function Name: v5
Function:
```python
def v5(self, v6, v7: int) -> int:... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Union[pd.DataFrame, np.ndarray], Union[None, list[str]]
Output Type: pd.Series
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: Union[pd.DataFrame, np.ndarray], v2: Union[None, list[str]]=None) -> pd.Series:
v3 = self._preproc... |
Imports:
```python
import typing
```
Type definitions:
```python
v0 = TypeVar('DT')
```
```python
v1 = TypeVar('T')
```
Input Types: Callable[[v1, float], v0], v1, float, float, Callable[[v1, v0, float], v1]
Output Type: v1
Dependencies:
Function Name: v2
Function:
```python
def v2(v3: Callable[[v1, float], v0], v4: v... |
Imports:
```python
import numpy as np
import numpy.typing as npt
import typing
```
Type definitions:
```python
v0 = npt.NDArray[np.float64]
```
Input Types: int
Output Type: None
Dependencies:
```python
def v1(v2: 'Traffic', v3: Optional[int], v4: List[str], v5: Union[None, 'crs.Projection', pyproj.Proj]=None, v6: int=... |
Imports:
```python
import os, sys, re
import typing
```
Type definitions:
Input Types: str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str):
v1 = re.sub('([^\\n\\d, \\.])((?:\\d+\\.?\\d*|\\.\\d+))', '\\1 \\2', v1)
v1 = re.sub('([\\+\\-]?(?:\\d+\\.?\\d*|\\.\\d+))([^\\n... |
Imports:
```python
import os
import typing
```
Type definitions:
Input Types: str
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str) -> None:
for (v2, v3, v4) in os.walk(v1):
for v5 in v4:
v6: str = os.path.abspath(os.path.join(v2, v5))
if v... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Any, list, int
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1, v2: list, v3: int=3):
v1 = v1.copy()
v1.append_column(v2)
v1 = v1.triangulate_to_ones()
if v3 < 3:
yield {'Этап': 'Закончился первы... |
Imports:
```python
import typing
```
Type definitions:
```python
class v0(Generic[T]):
def __init__(self, v1: T):
self.value = v1
def v2(self, v3: any) -> int:
if self.value >= v3.value:
return 1
else:
return -1
def v4(self) -> str:
return str(self.... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Path
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: Path) -> None:
assert not (v1 / 'schema_doc.html').exists()
assert not (v1 / 'schema_doc.min.js').exists()
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: int, int, list, list
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: int, v2: int, v3: list, v4: list):
if v3[v1] > v3[v2]:
(v1, v2) = (v2, v1)
for v5 in range(20, -1, -1):
if v3[v2] - v3[v1] >=... |
Imports:
```python
import re
import typing
```
Type definitions:
Input Types: Any, discord.Interaction, str
Output Type: Any
Dependencies:
```python
def v0(v1):
v2 = 'Invalid operators/operations specified.'
if v1 == '':
v3 = '\u200b'
elif not v1.isdigit() and re.search('[\\+\\-\\*\\/%()\\.]', v1) ... |
Imports:
```python
import os
import pandas as pd
import typing
```
Type definitions:
Input Types: str, Optional[str]
Output Type: Dict[str, pd.Series]
Dependencies:
```python
def v0(v1: pd.Series, v2: int) -> pd.DataFrame:
v3 = v1.copy()
for v4 in v1.columns:
v3[v4] = v3[v4].mode().values[0]
return... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str, Any
Output Type: bool
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str, v2=None) -> bool:
if not hasattr(self, v1):
return False
if not v2:
v3 = v1.replace('action_', 'standard_', 1)
if has... |
Imports:
```python
import typing
```
Type definitions:
Input Types: int
Output Type: list
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: int) -> list:
if self.pos + v1 >= len(self.tokens):
return [None, ['', '']]
return self.tokens[self.pos + v1]
``` |
Imports:
```python
import calendar
import datetime
import typing
```
Type definitions:
```python
@dataclasses.dataclass
class v0:
v1: Optional[datetime.datetime] = None
v2: Optional[datetime.datetime] = None
v3: Optional[str] = None
v4: bool = False
v5: Optional[str] = None
v6: Optional[str] = N... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
async def v0(self) -> None:
v1 = self.entity_description.key
v2 = self.entity_description.write_value
return await self.async_put_characteristics({v1: v2})
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: int, bool
Output Type: int
Dependencies:
```python
def v0(v1: str) -> bool:
return not v1 or v1.isspace()
```
Function Name: v2
Function:
```python
def v2(self, v3: int=1, v4: bool=False) -> int:
def v5(v6: str) -> bool:
return not v6... |
Imports:
```python
from pathlib import Path
import numpy as np
import matplotlib.pyplot as plt
import typing
```
Type definitions:
Input Types: list
Output Type: Any
Dependencies:
```python
def v0(v1: np.array=None, v2: int=10, v3: str=None, v4: str=None):
(v5, v6, v7) = plt.hist(v1, v2, density=True)
plt.titl... |
Imports:
```python
import transformers
from transformers import CamembertTokenizer
import typing
```
Type definitions:
Input Types: str
Output Type: transformers.PreTrainedTokenizerFast
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str) -> transformers.PreTrainedTokenizerFast:
v2 = CamembertToken... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Any
Output Type: structures.ComponentSpec
Dependencies:
```python
def v0(v1) -> structures.ComponentSpec:
v2 = _yaml_utils.load_yaml(v1)
v3 = structures.ComponentSpec.from_dict(v2)
import hashlib
v4 = v1 if isinstance(v1, bytes) else v... |
Imports:
```python
import pandas as pd
import ast
import typing
```
Type definitions:
Input Types: pd.DataFrame
Output Type: pd.DataFrame
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: pd.DataFrame=None) -> pd.DataFrame:
v2 = []
v3 = 'crowd-entity-annotation.entities'
v4 = ['dataObject', '... |
Imports:
```python
import typing
```
Type definitions:
Input Types: int, int
Output Type: int
Dependencies:
```python
def v0(v1: int, v2: int=BASE_SUBJECT_NUMBER) -> int:
return v1 * v2 % DIVIDER
```
Function Name: v3
Function:
```python
def v3(v4: int, v5: int) -> int:
v6 = 1
while v5:
v5 -= 1
... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Any, Any, int, int, Any, Any, Any, Any
Output Type: Any
Dependencies:
```python
def v0(v1):
clog.debug(v1)
return v1
```
Function Name: v2
Function:
```python
def v2(v3, v4, v5: int=3600, v6: int=1, v7=False, v8='bash_login', v9=True, v10=Fals... |
Imports:
```python
from datetime import time, datetime, timedelta
import typing
```
Type definitions:
Input Types: time, str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: time, v2: str):
if v2 not in self.TIME_MAPPING.keys():
raise ValueError(f'注意你的flag是不被接受的，我们仅仅支持... |
Imports:
```python
import typing
```
Type definitions:
Input Types: AnyStr
Output Type: bool
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: AnyStr) -> bool:
if not self.ends_with_path_separator(v1):
return False
return self.isfile(self._path_without_trailing_separators(v1))
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: pd.DataFrame, Path
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: pd.DataFrame, v2: Path):
v2.mkdir(exist_ok=True)
v1.to_csv(v2.joinpath('uniprot_results.tsv'), sep='\t', index=False)
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: str, int
Output Type: List[int]
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str, v2: int) -> List[int]:
if not isinstance(v1, str):
raise ValueError('conversion unsuccessful, please input a string')
if ',' in v1:
... |
Imports:
```python
import base64
import typing
```
Type definitions:
Input Types: str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str):
v2 = base64.b64encode(bytes(v1, 'utf-8'))
v2 = v2.decode('utf-8')
v2 = v2.replace('/', '_').replace('+', '-').rstrip('=')
return f... |
Imports:
```python
import numpy as np
import typing
```
Type definitions:
Input Types: float
Output Type: str
Dependencies:
```python
def v0(v1: float) -> Tuple[int, int]:
v2 = is_approx_int(v1 * np.arange(1, 100), atol=_naming_tol)
if not v2.any():
raise ValueError
v2 = np.arange(1, 100)[v2][0]
... |
Imports:
```python
import shlex
import subprocess
import typing
```
Type definitions:
Input Types: str, Any
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str, v2):
v3 = 'convert -density 600 {} -quality 100 {}'.format(v1, v2)
subprocess.check_output(shlex.split(v3))
print... |
Imports:
```python
from ..logging import raise_if_not, get_logger, raise_log, raise_if
import typing
```
Type definitions:
Input Types: Tuple, Tuple
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: Tuple, v2: Tuple):
(v3, v4) = v1[:2]
(v5, v6) = v2[:2]
raise_if_not(v3.shape[... |
Imports:
```python
import os
import typing
```
Type definitions:
Input Types:
Output Type: Dict
Dependencies:
Function Name: v0
Function:
```python
def v0() -> Dict:
v1 = {}
v1['api_key_id'] = os.environ.get('VERACODE_API_KEY_ID', None)
v1['api_key_secret'] = os.environ.get('VERACODE_API_KEY_SECRET', Non... |
Imports:
```python
import logging
import typing
```
Type definitions:
Input Types: singer.CatalogEntry, Any, Any
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: singer.CatalogEntry, v2, v3):
v3.set_level(logging.DEBUG)
for (v4, v5) in v2:
assert v1.metadata._breadcrumb_... |
Imports:
```python
import typing
```
Type definitions:
Input Types: int, int
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: int=-1, v2: int=0):
v3 = v2 + self.pos
return self.source[v3:v3 + v1]
``` |
Imports:
```python
import numpy as np
import os
import subprocess
import typing
```
Type definitions:
Input Types: str, list, str, np.ndarray, int, float, np.ufunc, list, mp.Pool, bool
Output Type: tuple
Dependencies:
```python
def v0(v1: str, v2: str, v3: str, v4: float=2.7) -> np.ndarray:
if os.path.exists(os.pa... |
Imports:
```python
import heapq
import math
import typing
```
Type definitions:
```python
v0 = TypeVar('K')
```
Input Types: Dict[v0, Iterable[Tuple[int, v0]]], v0, v0
Output Type: int
Dependencies:
Function Name: v1
Function:
```python
def v1(v2: Dict[v0, Iterable[Tuple[int, v0]]], v3: v0, v4: v0) -> int:
v5 = []... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: Set[str]
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> Set[str]:
v1 = self.service.watcher_config(self._name)
if v1:
v2 = v1.get('symbols', [])
else:
v2 = []
return set(v2)
``` |
Imports:
```python
import typing
```
Type definitions:
```python
class v0:
v1 = ('st_mode', 'st_ino', 'st_dev', 'st_nlink', 'st_uid', 'st_gid', 'st_size', 'st_atime', 'st_mtime', 'st_ctime', 'st_atime_ns', 'st_mtime_ns', 'st_ctime_ns')
def __init__(self, v2: AnyStr, v3: int=S_IFREG | PERM_DEF_FILE, v4: Optiona... |
Imports:
```python
import typing
```
Type definitions:
Input Types: bytes, bytes
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: bytes, v2: bytes):
v3 = bytearray(len(v1))
for v4 in range(len(v1)):
v3[v4] = v2[int.from_bytes(v1[v4].encode(), 'big')]
return v3
... |
Imports:
```python
import typing
```
Type definitions:
Input Types: Any, Any, Any, Any, Any, bool
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1, v2, v3, v4, v5, v6: bool):
if v6:
return v1 @ v5 + v3
else:
return v2 @ v5 + v4
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> None:
v1 = self.client_get('/')
self.assertEqual(v1.status_code, 302)
self.assertEqual(v1.url, '/login/')
v1 = self.client_post('/', {'prefers_web_... |
Imports:
```python
import typing
```
Type definitions:
```python
v0 = Type[AbcStream]
```
Input Types: v0, Union[str, Iterable[str]]
Output Type: 'Streams'
Dependencies:
Function Name: v1
Function:
```python
def v1(self, v2: v0, v3: Union[str, Iterable[str]]=None, **v4) -> 'Streams':
v3 = v3 or v2.supported_schema... |
Imports:
```python
import typing
```
Type definitions:
Input Types: int
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: int):
if v1 < 0 or v1 >= self.num_stacks:
raise Exception('Index out of bounds')
if self.num_stacks == 1:
return self.pop()
v2 = sel... |
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=True):
v3 = self._data[v1]
if v2:
return v3.get()
else:
return v3
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: Any, Dict, List, str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1, v2: Dict, v3: List=None, v4: str='Metrics'):
v1.info(v4 + ':')
v1.info('=' * (len(v4) + 1))
if v3 is not None:
v5 = ' | '.join(['... |
Imports:
```python
import typing
```
Type definitions:
Input Types: list, int
Output Type: object
Dependencies:
```python
def v0(v1: list, v2: int) -> object:
v3 = partition(v1, 0, len(v1) - 1)
if v3 == v2:
return v1[v3]
elif v3 > v2:
return v0(v1[0:v3], v2)
else:
return v0(v1[v... |
Imports:
```python
from pathlib import Path
import typing
```
Type definitions:
Input Types:
Output Type: dict
Dependencies:
```python
def v0() -> dict:
v1 = str(Path(__file__).resolve().parents[2] / 'autoscaler' / 'kuberay' / 'ray-cluster.complete.yaml')
return yaml.safe_load(open(v1).read())
```
Function Na... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str, bool
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str, v2: bool=False) -> None:
if v2 and v1 != '443':
v3 = f'{v1} https'
else:
v3 = v1
v4 = [self.parser.get_arg(x) for v5 in ... |
Imports:
```python
import typing
```
Type definitions:
```python
v0 = t.TypeVar('T')
```
Input Types: v0, t.Sequence[t.Tuple[t.Sequence[t.Union[int, str]], object]]
Output Type: v0
Dependencies:
Function Name: v1
Function:
```python
def v1(self, v2: v0, v3: t.Sequence[t.Tuple[t.Sequence[t.Union[int, str]], object]]) -... |
Imports:
```python
import numpy as np
from functools import reduce
import typing
```
Type definitions:
Input Types: Any
Output Type: Dict
Dependencies:
```python
def v0(v1, v2, v3=' '):
return [str(p1) + v3 + str(p2) for v4 in v1 for v5 in v2]
```
Function Name: v6
Function:
```python
def v6(self, v7) -> Dict:
... |
Imports:
```python
import typing
```
Type definitions:
```python
class v0:
def __init__(self, v1: socket.socket, v2: AddrType) -> None:
print('Got connection from ', v2)
self.alive = True
self.client_socket = v1
self.send_lock = threading.Lock()
self.message_callbacks = {Net... |
Imports:
```python
import os
import os.path
import shlex
import subprocess
import typing
```
Type definitions:
Input Types: str, Any
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str, v2=False):
if v2:
v3 = os.popen(v1)
print(v3.read())
else:
v4: list[... |
Imports:
```python
import os
from os.path import join, exists, split, abspath
import logging
import json
import typing
```
Type definitions:
```python
class v0:
def __init__(self, v1: str=None):
if v1 is not None:
with open(v1, 'r') as v2:
v3 = json.load(v2)
self.elevati... |
Imports:
```python
import typing
```
Type definitions:
```python
class v0(Operation):
v1: str = '/platform/admin/namespaces/{namespace}/users/{userId}/iap'
v2: str = 'GET'
v3: List[str] = []
v4: List[str] = ['application/json']
v5: List[List[str]] = [['BEARER_AUTH'], ['BEARER_AUTH']]
v6: str = N... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str, str
Output Type: Dict[str, Any]
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str, v2: str) -> Dict[str, Any]:
v3 = self._post('/tokens', json={'email': v1, 'password': v2})
self._token = v3['token']
self._user... |
Imports:
```python
import typing
```
Type definitions:
```python
v0 = TypeVar('AgentPool')
```
Input Types: v0
Output Type: v0
Dependencies:
Function Name: v1
Function:
```python
def v1(self, v2: v0) -> v0:
self._ensure_agentpool(v2)
(v3, v4, v5, v6, v7) = self.context.get_update_enable_disable_cluster_autosca... |
Imports:
```python
import typing
```
Type definitions:
```python
class v0(object):
v1 = ('mcq_invalidating', 'render', 'negate', '_query', '_hash')
def __init__(self, v2: Dict, v3: bool, v4: bool, v5: bool, v6: str=None):
self.mcq_invalidating = v5
self.render = v4
self.negate = v3
... |
Imports:
```python
import torch
import torch.nn as nn
import torch.nn.functional as F
import typing
```
Type definitions:
Input Types: torch.Tensor
Output Type: torch.Tensor
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: torch.Tensor) -> torch.Tensor:
v2 = torch.diagonal(v1, dim1=1, dim2=2)
... |
Imports:
```python
import io
import typing
```
Type definitions:
Input Types: str, list
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str, v2: list):
with io.open(v1, 'w', encoding='utf8') as v3:
v3.write('\nmsgid ""\nmsgstr ""\n')
for (v4, v5) in v2.metadata.item... |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> None:
self.assertPathNotExists(self.predict_out_file)
self.assertPathNotExists(self.sliding_window_out_file)
self.assertPathNotExists(self.invalid_out_... |
Imports:
```python
import typing
```
Type definitions:
Input Types: list
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: list):
v2 = len(v1)
for v3 in self.query_table.keys():
v4 = v3.split(' ')
if len(v4) != v2:
continue
v5 = True
... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str) -> None:
v2 = self._get_total_food_count(v1 + '1')
self._enter_update_time_and_count(self._get_total_food_count(v1 + '1'))
if self._new_total_... |
Imports:
```python
import logging
import typing
```
Type definitions:
Input Types: str
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str) -> None:
if v1:
logging.info(v1)
self.open_app(self.dict_info['app_package'], self.dict_info['activity_login'])
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: str, int, float, int, float, int, float
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str, v2: int=1, v3: float=1.0, v4: int=-1, v5: float=-1, v6: int=4, v7: float=1.0, **v8):
v9 = False
if v4 != -1 or ... |
Imports:
```python
from tensorflow import keras
import typing
```
Type definitions:
Input Types: tuple, int
Output Type: keras.Model
Dependencies:
```python
def v0(v1, v2: int, v3: int, v4: int, v5: int, v6: bool, v7: str, v8=1.0):
v9 = keras.backend.int_shape(v1)
v10 = v1
v1 = _conv_bn(v1, v5, 1, 1, v7)
... |
Imports:
```python
import typing
```
Type definitions:
Input Types: float
Output Type: str
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: float) -> str:
if v1 == 0.0:
return '%8s' % '0.'
v2 = '%8.11e' % v1
(v3, v4) = v2.strip().split('e')
v5 = int(v4)
v6 = '-' if abs(v1) < ... |
Imports:
```python
import random
from functools import partial
from multiprocessing.pool import ThreadPool
import pandas as pd
from tqdm import tqdm
import typing
```
Type definitions:
Input Types: Any, Any, Any
Output Type: pd.DataFrame
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1, v2, v3=True... |
Imports:
```python
import typing
```
Type definitions:
```python
class v0(cmd.Cmd):
v1 = '\n\nWelcome to the sidechain shell. Type help or ? to list commands.\n'
v2 = 'SSX> '
def v3(self: v0) -> None:
"""Clear the screen before the REPL starts up."""
_clear_screen()
def __init__(self... |
Imports:
```python
import typing
```
Type definitions:
Input Types: pd.DataFrame, pd.DataFrame, pd.Index, int
Output Type: Tuple[pd.DataFrame, pd.DataFrame]
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: pd.DataFrame, v2: pd.DataFrame, v3: pd.Index=pd.Index([]), v4: int=0) -> Tuple[pd.DataFrame, pd.Da... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str, str, str
Output Type: Any
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: str, v2: str, v3: str):
v4 = ''
return v4
``` |
Imports:
```python
import pandas as pd
import typing
```
Type definitions:
Input Types: pd.DataFrame, Any
Output Type: np.ndarray
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: pd.DataFrame, v2=None) -> np.ndarray:
if not isinstance(v1, pd.DataFrame):
raise TypeError('input must be a pd.Da... |
Imports:
```python
import typing
```
Type definitions:
Input Types: mpf.ImageLocation, int
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: mpf.ImageLocation, v2: int) -> None:
v3 = self._get_region_of_interest(v2)
v1.x_left_upper += v3.x
v1.y_left_upper += v3.y
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: list, list, int
Output Type: list
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: list, v2: list, v3: int) -> list:
v4 = [[0 for v5 in range(v3)] for v6 in range(v3)]
for v7 in range(len(v1)):
for v8 in range(len(v2[0])... |
Imports:
```python
import typing
```
Type definitions:
Input Types: List[bs4.element.Tag]
Output Type: str
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: List[bs4.element.Tag]) -> str:
if len(v1) > 0:
v2 = v1[0]
if len(v2.contents) == 0:
return ''
else:
... |
Imports:
```python
import typing
```
Type definitions:
Input Types: str
Output Type: Dict[str, str]
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: str) -> Dict[str, str]:
v2 = {}
with open(v1, 'r') as v3:
for v4 in v3:
v5 = v4.strip()
if not v5:
... |
Imports:
```python
import json
import typing
```
Type definitions:
Input Types: str
Output Type: str
Dependencies:
```python
@memoized
def v0() -> Dict[str, Any]:
return current_app.config.get('JINJA_CONTEXT_ADDONS', {})
```
```python
def v1(v2: Dict[str, Any]) -> Dict[str, Any]:
for v3 in v2:
v4 = typ... |
Imports:
```python
import typing
```
Type definitions:
Input Types: qlast.GroupQuery
Output Type: None
Dependencies:
```python
def v0(v1: str) -> str:
if _module_name_re.match(v1):
return v1
else:
return ident_to_str(v1)
```
```python
def v2(v3: str) -> str:
return edgeql_quote.quote_ident(... |
Imports:
```python
import asyncio
import queue
import typing
```
Type definitions:
```python
v0 = TypeVar('T')
```
Input Types: Callable[[queue.Queue], v0], Any
Output Type: Awaitable[v0]
Dependencies:
```python
def v1():
q.put_nowait(end_element)
```
```python
def v2():
return thread_main(q)
```
```python
asyn... |
Imports:
```python
import typing
```
Type definitions:
Input Types: int
Output Type: list
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: int) -> list:
v2 = self.__get_req__(f'watchlists/show/{v1}')
return [str(x['symbol']) for v3 in v2['watchlist']['symbols']]
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: list
Output Type: int
Dependencies:
Function Name: v0
Function:
```python
def v0(self, v1: list) -> int:
v2 = []
(v3, v4) = v1[0]
if v3 in v1[1]:
return v3
else:
return v4
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types: Iterable[Any]
Output Type: Iterable[Any]
Dependencies:
Function Name: v0
Function:
```python
def v0(v1: Iterable[Any]) -> Iterable[Any]:
for v2 in v1:
yield (list(v2[1]) + [v2[0]])
``` |
Imports:
```python
import typing
```
Type definitions:
Input Types:
Output Type: None
Dependencies:
Function Name: v0
Function:
```python
def v0(self) -> None:
self.set_models({'meeting/1': {'committee_id': 1}, 'user/111': {'username': 'username_srtgb123', 'number_$1': '', 'number_$': ['1'], 'default_number': '1... |
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