id int64 0 328k | repository_name stringlengths 7 58 | file_path stringlengths 9 302 | class_name stringlengths 5 256 | human_written_code stringlengths 16 2.16M | class_skeleton stringlengths 18 1.49M ⌀ | total_program_units int64 1 1.76k | total_doc_str int64 0 771 | AvgCountLine float64 0 7.89k | AvgCountLineBlank float64 0 297 | AvgCountLineCode float64 0 7.89k | AvgCountLineComment float64 0 7.89k | AvgCyclomatic float64 0 130 | CommentToCodeRatio float64 0 168 | CountClassBase float64 0 40 | CountClassCoupled float64 0 583 | CountClassCoupledModified float64 0 575 | CountClassDerived float64 0 5.35k | CountDeclInstanceMethod float64 0 529 | CountDeclInstanceVariable float64 0 296 | CountDeclMethod float64 0 599 | CountDeclMethodAll float64 0 1.12k | CountLine float64 1 40.4k | CountLineBlank float64 0 8.16k | CountLineCode float64 1 25.7k | CountLineCodeDecl float64 1 8.15k | CountLineCodeExe float64 0 24.2k | CountLineComment float64 0 16.5k | CountStmt float64 1 9.71k | CountStmtDecl float64 1 8.15k | CountStmtExe float64 0 9.69k | MaxCyclomatic float64 0 759 | MaxInheritanceTree float64 0 16 | MaxNesting float64 0 34 | SumCyclomatic float64 0 2.9k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
324,200 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/buildings/trading.py | nonebot_plugin_skland.schemas.ark_models.buildings.trading.StockItem | from pydantic import BaseModel
class StockItem(BaseModel):
"""储存订单"""
instId: int
type: str
delivery: list[DeliveryItem]
gain: Gain
isViolated: bool |
class StockItem(BaseModel):
'''储存订单'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.17 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 8 | 1 | 6 | 1 | 5 | 1 | 6 | 1 | 5 | 0 | 5 | 0 | 0 |
324,201 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/buildings/trading.py | nonebot_plugin_skland.schemas.ark_models.buildings.trading.Trading | from .base import BuildingChar
from pydantic import BaseModel
class Trading(BaseModel):
"""贸易站"""
slotId: str
level: int
chars: list[BuildingChar]
completeWorkTime: int
lastUpdateTime: int
strategy: str
stock: list[StockItem]
stockLimit: int |
class Trading(BaseModel):
'''贸易站'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 11 | 1 | 9 | 1 | 8 | 1 | 9 | 1 | 8 | 0 | 5 | 0 | 0 |
324,202 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/buildings/training.py | nonebot_plugin_skland.schemas.ark_models.buildings.training.Trainee | from pydantic import BaseModel
class Trainee(BaseModel):
charId: str
targetSkill: int
ap: int
lastApAddTime: int |
class Trainee(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 5 | 0 | 5 | 1 | 4 | 0 | 5 | 1 | 4 | 0 | 5 | 0 | 0 |
324,203 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/buildings/training.py | nonebot_plugin_skland.schemas.ark_models.buildings.training.Trainer | from pydantic import BaseModel
class Trainer(BaseModel):
charId: str
ap: int
lastApAddTime: int |
class Trainer(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 4 | 0 | 4 | 1 | 3 | 0 | 4 | 1 | 3 | 0 | 5 | 0 | 0 |
324,204 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/buildings/training.py | nonebot_plugin_skland.schemas.ark_models.buildings.training.Training | from pydantic import BaseModel
class Training(BaseModel):
slotId: str
level: int
trainee: Trainee | None = None
trainer: Trainer | None = None
remainPoint: float
speed: float
lastUpdateTime: int
remainSecs: int
slotState: int
@property
def training_state(self) -> str:
... |
class Training(BaseModel):
@property
def training_state(self) -> str:
pass | 3 | 0 | 15 | 0 | 15 | 0 | 7 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 83 | 27 | 1 | 26 | 5 | 20 | 0 | 20 | 5 | 17 | 7 | 5 | 2 | 7 |
324,205 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/campaign.py | nonebot_plugin_skland.schemas.ark_models.campaign.Campaign | from pydantic import BaseModel
from .base import BaseCount
class Campaign(BaseModel):
"""剿灭作战信息"""
records: list[CampaignRecord]
reward: BaseCount |
class Campaign(BaseModel):
'''剿灭作战信息'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.33 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 5 | 1 | 3 | 1 | 2 | 1 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
324,206 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/campaign.py | nonebot_plugin_skland.schemas.ark_models.campaign.CampaignRecord | from pydantic import BaseModel
class CampaignRecord(BaseModel):
"""
剿灭记录
Attributes:
campaignId : 剿灭 ID
maxKills : 最大击杀数
"""
campaignId: str
maxKills: int |
class CampaignRecord(BaseModel):
'''
剿灭记录
Attributes:
campaignId : 剿灭 ID
maxKills : 最大击杀数
'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 11 | 2 | 3 | 1 | 2 | 6 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
324,207 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/chars.py | nonebot_plugin_skland.schemas.ark_models.chars.Character | from .base import Equip
from pydantic import BaseModel
class Character(BaseModel):
"""持有干员"""
charId: str
skinId: str
level: int
evolvePhase: int
potentialRank: int
mainSkillLvl: int
skills: list[Skill]
equip: list[Equip]
favorPercent: int
defaultSkillId: str
gainTime: i... |
class Character(BaseModel):
'''持有干员'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.08 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 15 | 1 | 13 | 1 | 12 | 1 | 13 | 1 | 12 | 0 | 5 | 0 | 0 |
324,208 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/chars.py | nonebot_plugin_skland.schemas.ark_models.chars.Skill | from pydantic import BaseModel
class Skill(BaseModel):
"""干员技能"""
id: str
specializeLevel: int |
class Skill(BaseModel):
'''干员技能'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.33 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 5 | 1 | 3 | 1 | 2 | 1 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
324,209 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/medal.py | nonebot_plugin_skland.schemas.ark_models.medal.Medal | from pydantic import BaseModel
class Medal(BaseModel):
"""
佩戴蚀刻章信息。
Attributes:
type (str): 佩戴蚀刻章类型,自定义或者套装
template (str): 蚀刻章模板
templateMedalList (List): 模板蚀刻章列表
customMedalLayout (List[MedalLayout]): 蚀刻章的自定义布局
total (int): 拥有的蚀刻章总数
"""
type: str
templ... |
class Medal(BaseModel):
'''
佩戴蚀刻章信息。
Attributes:
type (str): 佩戴蚀刻章类型,自定义或者套装
template (str): 蚀刻章模板
templateMedalList (List): 模板蚀刻章列表
customMedalLayout (List[MedalLayout]): 蚀刻章的自定义布局
total (int): 拥有的蚀刻章总数
'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 17 | 2 | 6 | 1 | 5 | 9 | 6 | 1 | 5 | 0 | 5 | 0 | 0 |
324,210 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/medal.py | nonebot_plugin_skland.schemas.ark_models.medal.MedalLayout | from pydantic import BaseModel
class MedalLayout(BaseModel):
"""
蚀刻章布局
Attributes:
id (str): 奖章的唯一标识符
pos (List[int]): 奖章的坐标位置,包含两个整数值(x, y)
"""
id: str
pos: list[int] |
class MedalLayout(BaseModel):
'''
蚀刻章布局
Attributes:
id (str): 奖章的唯一标识符
pos (List[int]): 奖章的坐标位置,包含两个整数值(x, y)
'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 11 | 2 | 3 | 1 | 2 | 6 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
324,211 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/recruit.py | nonebot_plugin_skland.schemas.ark_models.recruit.Recruit | from pydantic import BaseModel
class Recruit(BaseModel):
"""
公招信息
Attributes:
startTs : 开始时间戳
finishTs : 结束时间戳
state : 状态
"""
startTs: int
finishTs: int
state: int |
class Recruit(BaseModel):
'''
公招信息
Attributes:
startTs : 开始时间戳
finishTs : 结束时间戳
state : 状态
'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.75 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 13 | 2 | 4 | 1 | 3 | 7 | 4 | 1 | 3 | 0 | 5 | 0 | 0 |
324,212 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/routine.py | nonebot_plugin_skland.schemas.ark_models.routine.Routine | from pydantic import BaseModel
from .base import BaseCount
class Routine(BaseModel):
"""
日/周常任务完成进度
Attributes:
daily : 日常任务进度
weekly : 周常任务进度
"""
daily: BaseCount
weekly: BaseCount |
class Routine(BaseModel):
'''
日/周常任务完成进度
Attributes:
daily : 日常任务进度
weekly : 周常任务进度
'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 11 | 2 | 3 | 1 | 2 | 6 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
324,213 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/skins.py | nonebot_plugin_skland.schemas.ark_models.skins.Skin | from pydantic import BaseModel
class Skin(BaseModel):
"""持有皮肤"""
id: str
ts: int |
class Skin(BaseModel):
'''持有皮肤'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.33 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 5 | 1 | 3 | 1 | 2 | 1 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
324,214 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/status.py | nonebot_plugin_skland.schemas.ark_models.status.AP | import math
from pydantic import BaseModel
from datetime import datetime
class AP(BaseModel):
"""理智"""
current: int
max: int
lastApAddTime: int
completeRecoveryTime: int
@property
def ap_now(self) -> int:
"""计算当前理智 ap_now ,并确保不超过最大理智值。"""
current_time = datetime.now().times... |
class AP(BaseModel):
'''理智'''
@property
def ap_now(self) -> int:
'''计算当前理智 ap_now ,并确保不超过最大理智值。'''
pass | 3 | 2 | 7 | 1 | 5 | 1 | 1 | 0.18 | 1 | 2 | 0 | 0 | 1 | 0 | 1 | 83 | 16 | 3 | 11 | 5 | 8 | 2 | 10 | 4 | 8 | 1 | 5 | 0 | 1 |
324,215 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/status.py | nonebot_plugin_skland.schemas.ark_models.status.Avatar | from pydantic import BaseModel
class Avatar(BaseModel):
"""角色头像信息"""
type: str
id: str
url: str |
class Avatar(BaseModel):
'''角色头像信息'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 6 | 1 | 4 | 1 | 3 | 1 | 4 | 1 | 3 | 0 | 5 | 0 | 0 |
324,216 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/status.py | nonebot_plugin_skland.schemas.ark_models.status.Exp | from pydantic import BaseModel
class Exp(BaseModel):
"""经验值"""
current: int
max: int |
class Exp(BaseModel):
'''经验值'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.33 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 5 | 1 | 3 | 1 | 2 | 1 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
324,217 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/status.py | nonebot_plugin_skland.schemas.ark_models.status.Secretary | from pydantic import BaseModel
class Secretary(BaseModel):
"""助理干员信息"""
charId: str
skinId: str |
class Secretary(BaseModel):
'''助理干员信息'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.33 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 5 | 1 | 3 | 1 | 2 | 1 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
324,218 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/status.py | nonebot_plugin_skland.schemas.ark_models.status.Status | from datetime import datetime
from pydantic import BaseModel
class Status(BaseModel):
"""
角色状态信息
Attributes:
uid : 角色 UID
name : 角色名称
level : 等级
avatar : 头像信息
registerTs : 注册时间戳
secretary : 助理干员信息
ap :理智信息
lastOnlineTs : 角色最后在线时间戳
exp... |
class Status(BaseModel):
'''
角色状态信息
Attributes:
uid : 角色 UID
name : 角色名称
level : 等级
avatar : 头像信息
registerTs : 注册时间戳
secretary : 助理干员信息
ap :理智信息
lastOnlineTs : 角色最后在线时间戳
exp : 经验值
'''
@property
def register_time(self) -> st... | 3 | 1 | 2 | 0 | 2 | 0 | 1 | 0.65 | 1 | 2 | 0 | 0 | 1 | 0 | 1 | 83 | 36 | 3 | 20 | 3 | 17 | 13 | 19 | 2 | 17 | 1 | 5 | 0 | 1 |
324,219 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/tower.py | nonebot_plugin_skland.schemas.ark_models.tower.Tower | from pydantic import BaseModel
class Tower(BaseModel):
"""保全派驻信息"""
records: list[TowerRecord]
reward: TowerReward |
class Tower(BaseModel):
'''保全派驻信息'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.33 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 5 | 1 | 3 | 1 | 2 | 1 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
324,220 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/tower.py | nonebot_plugin_skland.schemas.ark_models.tower.TowerRecord | from pydantic import BaseModel
class TowerRecord(BaseModel):
"""
保全派驻记录
Attributes:
towerId : 保全派驻 ID
best : 最高进度
"""
towerId: str
best: int |
class TowerRecord(BaseModel):
'''
保全派驻记录
Attributes:
towerId : 保全派驻 ID
best : 最高进度
'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 11 | 2 | 3 | 1 | 2 | 6 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
324,221 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_models/tower.py | nonebot_plugin_skland.schemas.ark_models.tower.TowerReward | from pydantic import BaseModel
from .base import BaseCount
class TowerReward(BaseModel):
"""保全派驻奖励进度"""
higherItem: BaseCount
lowerItem: BaseCount
termTs: int |
class TowerReward(BaseModel):
'''保全派驻奖励进度'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 6 | 1 | 4 | 1 | 3 | 1 | 4 | 1 | 3 | 0 | 5 | 0 | 0 |
324,222 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_sign.py | nonebot_plugin_skland.schemas.ark_sign.ArkSignResponse | from pydantic import BaseModel
class ArkSignResponse(BaseModel):
awards: list[Award] |
class ArkSignResponse(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 2 | 0 | 2 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 5 | 0 | 0 |
324,223 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_sign.py | nonebot_plugin_skland.schemas.ark_sign.ArkSignResult | from pydantic import BaseModel
class ArkSignResult(BaseModel):
success_count: int
failed_count: int
results: dict[str, str]
summary: str |
class ArkSignResult(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 5 | 0 | 5 | 1 | 4 | 0 | 5 | 1 | 4 | 0 | 5 | 0 | 0 |
324,224 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_sign.py | nonebot_plugin_skland.schemas.ark_sign.Award | from pydantic import BaseModel
class Award(BaseModel):
resource: Resource
count: int |
class Award(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 3 | 0 | 3 | 1 | 2 | 0 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
324,225 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/ark_sign.py | nonebot_plugin_skland.schemas.ark_sign.Resource | from pydantic import BaseModel
class Resource(BaseModel):
name: str |
class Resource(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 2 | 0 | 2 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 5 | 0 | 0 |
324,226 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/cred.py | nonebot_plugin_skland.schemas.cred.CRED | from dataclasses import dataclass
@dataclass
class CRED:
cred: str
'登录凭证'
token: str
'登录凭证对应的token'
userId: str | None = None
'用户ID' | @dataclass
class CRED:
pass | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 4 | 2 | 3 | 3 | 4 | 2 | 3 | 0 | 0 | 0 | 0 |
324,227 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue.py | nonebot_plugin_skland.schemas.rogue.CharInfo | from pydantic import BaseModel
class CharInfo(BaseModel):
skinId: str
evolvePhase: int |
class CharInfo(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 3 | 0 | 3 | 1 | 2 | 0 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
324,228 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue.py | nonebot_plugin_skland.schemas.rogue.GameUserInfo | from .ark_models import Avatar
from pydantic import BaseModel
class GameUserInfo(BaseModel):
name: str
level: int
avatar: Avatar
isOfficial: bool |
class GameUserInfo(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 5 | 0 | 5 | 1 | 4 | 0 | 5 | 1 | 4 | 0 | 5 | 0 | 0 |
324,229 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue.py | nonebot_plugin_skland.schemas.rogue.ItemInfo | from pydantic import BaseModel
class ItemInfo(BaseModel):
name: str
description: str
usage: str |
class ItemInfo(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 4 | 0 | 4 | 1 | 3 | 0 | 4 | 1 | 3 | 0 | 5 | 0 | 0 |
324,230 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue.py | nonebot_plugin_skland.schemas.rogue.RogueData | from .rogue_models import RogueCareer, RogueHistory
from pydantic import BaseModel
class RogueData(BaseModel):
topics: list[Topic]
history: RogueHistory
gameUserInfo: GameUserInfo
itemInfo: dict[str, ItemInfo]
userCharInfo: dict[str, CharInfo]
career: RogueCareer
@property
def topic(se... |
class RogueData(BaseModel):
@property
def topic(self) -> str:
pass
@property
def topic_img(self) -> str:
pass | 5 | 0 | 2 | 0 | 2 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 2 | 0 | 2 | 84 | 15 | 2 | 13 | 7 | 8 | 0 | 11 | 3 | 8 | 1 | 5 | 0 | 2 |
324,231 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue.py | nonebot_plugin_skland.schemas.rogue.Topic | from pydantic import BaseModel
class Topic(BaseModel):
id: str
isSelected: bool
name: str
pic: str |
class Topic(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 5 | 0 | 5 | 1 | 4 | 0 | 5 | 1 | 4 | 0 | 5 | 0 | 0 |
324,232 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue.py | nonebot_plugin_skland.schemas.rogue.Topics | from dataclasses import field, dataclass
@dataclass
class Topics:
topic: str
topic_id: str = field(init=False)
_MAPPING = {'傀影': 'rogue_1', '水月': 'rogue_2', '萨米': 'rogue_3', '萨卡兹': 'rogue_4', '界园': 'rogue_5'}
def __post_init__(self):
self.topic_id = self._MAPPING[self.topic] | @dataclass
class Topics:
def __post_init__(self):
pass | 3 | 0 | 2 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 8 | 2 | 6 | 4 | 4 | 0 | 6 | 4 | 4 | 1 | 0 | 0 | 1 |
324,233 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue_models/rogue_career.py | nonebot_plugin_skland.schemas.rogue_models.rogue_career.Alchemy | from pydantic import BaseModel
class Alchemy(BaseModel):
shield: int
relic: int
population: int |
class Alchemy(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 4 | 0 | 4 | 1 | 3 | 0 | 4 | 1 | 3 | 0 | 5 | 0 | 0 |
324,234 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue_models/rogue_career.py | nonebot_plugin_skland.schemas.rogue_models.rogue_career.ClearInfo | from pydantic import BaseModel
class ClearInfo(BaseModel):
difficulty: str
grade: int
endings: list[str] |
class ClearInfo(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 4 | 0 | 4 | 1 | 3 | 0 | 4 | 1 | 3 | 0 | 5 | 0 | 0 |
324,235 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue_models/rogue_career.py | nonebot_plugin_skland.schemas.rogue_models.rogue_career.Color | from pydantic import BaseModel
class Color(BaseModel):
blue: int
red: int
green: int |
class Color(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 4 | 0 | 4 | 1 | 3 | 0 | 4 | 1 | 3 | 0 | 5 | 0 | 0 |
324,236 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue_models/rogue_career.py | nonebot_plugin_skland.schemas.rogue_models.rogue_career.EndingSanDetail | from pydantic import BaseModel
class EndingSanDetail(BaseModel):
endingSan: list[int] |
class EndingSanDetail(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 2 | 0 | 2 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 5 | 0 | 0 |
324,237 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue_models/rogue_career.py | nonebot_plugin_skland.schemas.rogue_models.rogue_career.Fragment | from pydantic import BaseModel
class Fragment(BaseModel):
wish: int
inspiration: int
idea: int |
class Fragment(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 4 | 0 | 4 | 1 | 3 | 0 | 4 | 1 | 3 | 0 | 5 | 0 | 0 |
324,238 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue_models/rogue_career.py | nonebot_plugin_skland.schemas.rogue_models.rogue_career.Predict | from pydantic import BaseModel
class Predict(BaseModel):
totem: int
chaos: int |
class Predict(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 3 | 0 | 3 | 1 | 2 | 0 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
324,239 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue_models/rogue_career.py | nonebot_plugin_skland.schemas.rogue_models.rogue_career.RogueCareer | from pydantic import BaseModel
class RogueCareer(BaseModel):
clearInfo: ClearInfo
invest: int
gold: int
node: int
hope: int
upgrade: int
sacrifice: int
expedition: int
chaosGain: int
chaosLost: int
game: int
friend: int
abyss: int
totem: int
totemUse: int
... |
class RogueCareer(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 38 | 0 | 38 | 1 | 37 | 0 | 38 | 1 | 37 | 0 | 5 | 0 | 0 |
324,240 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue_models/rogue_career.py | nonebot_plugin_skland.schemas.rogue_models.rogue_career.Vision | from pydantic import BaseModel
class Vision(BaseModel):
vision: dict[str, int] |
class Vision(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 2 | 0 | 2 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 5 | 0 | 0 |
324,241 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue_models/rogue_history.py | nonebot_plugin_skland.schemas.rogue_models.rogue_history.Band | from pydantic import HttpUrl, BaseModel
class Band(BaseModel):
id: str
name: str |
class Band(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 3 | 0 | 3 | 1 | 2 | 0 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
324,242 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue_models/rogue_history.py | nonebot_plugin_skland.schemas.rogue_models.rogue_history.Char | from pydantic import HttpUrl, BaseModel
class Char(BaseModel):
id: str
rarity: int
profession: str
type: str
upgradePhase: int
evolvePhase: int
level: int
name: str
isCandle: bool |
class Char(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 10 | 0 | 10 | 1 | 9 | 0 | 10 | 1 | 9 | 0 | 5 | 0 | 0 |
324,243 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue_models/rogue_history.py | nonebot_plugin_skland.schemas.rogue_models.rogue_history.Medal | from pydantic import HttpUrl, BaseModel
class Medal(BaseModel):
count: int
current: int |
class Medal(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 3 | 0 | 3 | 1 | 2 | 0 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
324,244 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue_models/rogue_history.py | nonebot_plugin_skland.schemas.rogue_models.rogue_history.Record | from pydantic import HttpUrl, BaseModel
class Record(BaseModel):
id: str
modeGrade: int
mode: str
success: int
lastChars: list[Char]
initChars: list[Char]
troopChars: list[Char]
gainRelicList: list
cntCrossedZone: int
cntArrivedNode: int
cntBattleNormal: int
cntBattleEli... |
class Record(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 26 | 0 | 26 | 1 | 25 | 0 | 26 | 1 | 25 | 0 | 5 | 0 | 0 |
324,245 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue_models/rogue_history.py | nonebot_plugin_skland.schemas.rogue_models.rogue_history.RogueHistory | from pydantic import HttpUrl, BaseModel
class RogueHistory(BaseModel):
medal: Medal
modeGrade: int
mode: str
score: int
bpLevel: int
chars: list[Char]
tagList: list[Tag]
records: list[Record]
favourRecords: list[Record] |
class RogueHistory(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 10 | 0 | 10 | 1 | 9 | 0 | 10 | 1 | 9 | 0 | 5 | 0 | 0 |
324,246 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue_models/rogue_history.py | nonebot_plugin_skland.schemas.rogue_models.rogue_history.Tag | from pydantic import HttpUrl, BaseModel
class Tag(BaseModel):
name: str
icon: HttpUrl
description: str
id: int |
class Tag(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 5 | 0 | 5 | 1 | 4 | 0 | 5 | 1 | 4 | 0 | 5 | 0 | 0 |
324,247 | FrostN0v0/nonebot-plugin-skland | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FrostN0v0_nonebot-plugin-skland/nonebot_plugin_skland/schemas/rogue_models/rogue_history.py | nonebot_plugin_skland.schemas.rogue_models.rogue_history.Totem | from pydantic import HttpUrl, BaseModel
class Totem(BaseModel):
id: str
count: int |
class Totem(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 3 | 0 | 3 | 1 | 2 | 0 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
324,248 | Teradata/teradata-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Teradata_teradata-mcp-server/src/teradata_mcp_server/server.py | teradata_mcp_server.server.CustomJSONFormatter | import logging.config
import logging.handlers
import json
import logging
class CustomJSONFormatter(logging.Formatter):
"""Custom JSON formatter that can handle extra dictionaries in log messages."""
def format(self, record):
log_entry = {'timestamp': self.formatTime(record, self.datefmt), 'name': reco... |
class CustomJSONFormatter(logging.Formatter):
'''Custom JSON formatter that can handle extra dictionaries in log messages.'''
def format(self, record):
pass | 2 | 1 | 29 | 3 | 22 | 4 | 4 | 0.22 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 8 | 32 | 4 | 23 | 5 | 21 | 5 | 10 | 5 | 8 | 4 | 2 | 3 | 4 |
324,249 | Teradata/teradata-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Teradata_teradata-mcp-server/src/teradata_mcp_server/tools/fs/fs_utils.py | teradata_mcp_server.tools.fs.fs_utils.FeatureStoreConfig | from pydantic import BaseModel, Field
from sqlalchemy.engine import Connection
from sqlalchemy import text
class FeatureStoreConfig(BaseModel):
"""
Configuration class for the feature store. This model defines the metadata and catalog sources
used to organize and access features, processes, and datasets ac... |
class FeatureStoreConfig(BaseModel):
'''
Configuration class for the feature store. This model defines the metadata and catalog sources
used to organize and access features, processes, and datasets across data domains.
'''
def fs_setFeatureStoreConfig(self, conn: Connection, database_name: str | N... | 2 | 1 | 49 | 5 | 43 | 2 | 7 | 0.08 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 83 | 94 | 12 | 77 | 17 | 69 | 6 | 36 | 11 | 34 | 7 | 5 | 2 | 7 |
324,250 | Teradata/teradata-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Teradata_teradata-mcp-server/src/teradata_mcp_server/tools/module_loader.py | teradata_mcp_server.tools.module_loader.ModuleLoader | from typing import Any, Dict, List, Optional
import inspect
import importlib
import re
class ModuleLoader:
"""
Handles dynamic loading of tool modules based on profile requirements.
Only loads modules when their tools are needed by the selected profile.
"""
MODULE_MAP = {'base': 'teradata_mcp_serve... |
class ModuleLoader:
'''
Handles dynamic loading of tool modules based on profile requirements.
Only loads modules when their tools are needed by the selected profile.
'''
def __init__(self):
pass
def determine_required_modules(self, config: dict) -> list[str]:
'''
Dete... | 7 | 6 | 25 | 4 | 14 | 8 | 5 | 0.54 | 0 | 7 | 0 | 0 | 6 | 3 | 6 | 6 | 173 | 29 | 95 | 34 | 86 | 51 | 79 | 33 | 70 | 11 | 0 | 3 | 27 |
324,251 | Teradata/teradata-mcp-server | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Teradata_teradata-mcp-server/src/teradata_mcp_server/tools/td_connect.py | teradata_mcp_server.tools.td_connect.TDConn | from urllib.parse import urlparse
from sqlalchemy.pool import QueuePool
from sqlalchemy.engine import Engine
from sqlalchemy import create_engine
import os
class TDConn:
engine: Engine | None = None
connection_url: str | None = None
def __init__(self, connection_url: str | None=None):
if connectio... |
class TDConn:
def __init__(self, connection_url: str | None=None):
pass
def close(self):
pass | 3 | 0 | 24 | 2 | 21 | 2 | 3 | 0.18 | 0 | 3 | 0 | 0 | 2 | 0 | 2 | 2 | 57 | 5 | 44 | 18 | 41 | 8 | 34 | 16 | 31 | 3 | 0 | 2 | 6 |
324,252 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/evaluators/knowledge_agent_evaluator.py | knowledge_agent_evaluator.SimpleEntityEvaluator | import warnings
from typing import Any
from pydantic_evals.evaluators import Evaluator, EvaluatorContext
from aurelian.agents.knowledge_agent.knowledge_agent_models import ExtractionResult, SimpleEntity
class SimpleEntityEvaluator(Evaluator[SimpleEntity, ExtractionResult]):
"""
Custom evaluator for knowledge a... |
class SimpleEntityEvaluator(Evaluator[SimpleEntity, ExtractionResult]):
'''
Custom evaluator for knowledge agent
This evaluator checks if the expected entity is in the extraction result
'''
def evaluate(self, ctx: EvaluatorContext[Any, Any]) -> float:
'''
Evaluate GO-CAM agent resp... | 2 | 2 | 29 | 4 | 13 | 12 | 5 | 1.14 | 1 | 4 | 1 | 0 | 1 | 0 | 1 | 1 | 36 | 6 | 14 | 4 | 12 | 16 | 11 | 4 | 9 | 5 | 1 | 2 | 5 |
324,253 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/aggregator/aggregator_config.py | src.aurelian.agents.aggregator.aggregator_config.AggregatorDependencies | from aurelian.dependencies.workdir import HasWorkdir
from dataclasses import dataclass
@dataclass
class AggregatorDependencies(HasWorkdir):
"""Dependencies for the Aggregator Agent.
This class defines the resources and configurations needed by the Aggregator Agent.
"""
pass | @dataclass
class AggregatorDependencies(HasWorkdir):
'''Dependencies for the Aggregator Agent.
This class defines the resources and configurations needed by the Aggregator Agent.
'''
pass | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 6 | 1 | 2 | 1 | 1 | 3 | 2 | 1 | 1 | 0 | 5 | 0 | 0 |
324,254 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/amigo/amigo_config.py | src.aurelian.agents.amigo.amigo_config.AmiGODependencies | from aurelian.dependencies.workdir import HasWorkdir
from bioservices import UniProt
from oaklib.implementations import AmiGOImplementation
from oaklib import get_adapter
from dataclasses import dataclass, field
@dataclass
class AmiGODependencies(HasWorkdir):
"""
Configuration for the AmiGO agent.
Args:
... | @dataclass
class AmiGODependencies(HasWorkdir):
'''
Configuration for the AmiGO agent.
Args:
taxon: NCBI Taxonomy ID, defaults to human (9606)
'''
def get_uniprot_service(self) -> UniProt:
'''
Get the UniProt service for protein lookups.
Returns:
... | 5 | 4 | 9 | 1 | 2 | 6 | 1 | 2.75 | 1 | 1 | 0 | 0 | 3 | 0 | 3 | 23 | 38 | 8 | 8 | 5 | 4 | 22 | 8 | 5 | 4 | 1 | 5 | 0 | 3 |
324,255 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/amigo/amigo_evals.py | src.aurelian.agents.amigo.amigo_evals.AmiGOMetadata | from typing import Optional, Any, Dict, Callable, Awaitable
class AmiGOMetadata(Dict[str, Any]):
"""Simple metadata dictionary for AmiGO evaluations."""
pass |
class AmiGOMetadata(Dict[str, Any]):
'''Simple metadata dictionary for AmiGO evaluations.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 0 |
324,256 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/biblio/biblio_config.py | src.aurelian.agents.biblio.biblio_config.BiblioDependencies | from . import HANDLE, DB_NAME, COLLECTION_NAME
from typing import Optional
from aurelian.dependencies.workdir import HasWorkdir, WorkDir
from linkml_store.api import Collection
from linkml_store import Client
from dataclasses import dataclass, field
@dataclass
class BiblioDependencies(HasWorkdir):
"""Configuration... | @dataclass
class BiblioDependencies(HasWorkdir):
'''Configuration for the Biblio agent.'''
def __post_init__(self):
'''Initialize the config with default values.'''
pass
@property
def collection(self) -> Collection:
'''Get the database collection, initializing it if needed.'''
... | 5 | 3 | 7 | 0 | 5 | 2 | 2 | 0.29 | 1 | 1 | 1 | 0 | 2 | 1 | 2 | 22 | 21 | 3 | 14 | 9 | 10 | 4 | 13 | 8 | 10 | 2 | 5 | 1 | 4 |
324,257 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/checklist/checklist_config.py | src.aurelian.agents.checklist.checklist_config.ChecklistDependencies | from aurelian.dependencies.workdir import HasWorkdir, WorkDir
from dataclasses import dataclass
@dataclass
class ChecklistDependencies(HasWorkdir):
"""Configuration for the Checklist agent."""
def __post_init__(self):
"""Initialize the config with default values."""
if self.workdir is None:
... | @dataclass
class ChecklistDependencies(HasWorkdir):
'''Configuration for the Checklist agent.'''
def __post_init__(self):
'''Initialize the config with default values.'''
pass | 3 | 2 | 5 | 0 | 3 | 2 | 2 | 0.75 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 21 | 8 | 1 | 4 | 3 | 2 | 3 | 4 | 3 | 2 | 2 | 5 | 1 | 2 |
324,258 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/chemistry/chemistry_config.py | src.aurelian.agents.chemistry.chemistry_config.ChemicalStructure | from typing import Optional
from pydantic import BaseModel
class ChemicalStructure(BaseModel):
"""
Model for representing chemical structures.
"""
chebi_id: Optional[str] = None
smiles: Optional[str] = None
inchi: Optional[str] = None
name: Optional[str] = None
@property
def chebi_... |
class ChemicalStructure(BaseModel):
'''
Model for representing chemical structures.
'''
@property
def chebi_local_id(self) -> Optional[str]:
pass
@property
def chebi_image_url(self) -> str:
pass
@classmethod
def from_id(cls, id: str) -> 'ChemicalStructure':
p... | 9 | 1 | 7 | 0 | 7 | 0 | 3 | 0.11 | 1 | 2 | 0 | 0 | 2 | 0 | 4 | 86 | 43 | 4 | 35 | 17 | 25 | 4 | 30 | 13 | 24 | 3 | 5 | 2 | 10 |
324,259 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/chemistry/chemistry_config.py | src.aurelian.agents.chemistry.chemistry_config.ChemistryDependencies | from aurelian.dependencies.workdir import HasWorkdir
from dataclasses import dataclass, field
@dataclass
class ChemistryDependencies(HasWorkdir):
"""
Configuration for the chemistry agent.
"""
max_search_results: int = 30 | @dataclass
class ChemistryDependencies(HasWorkdir):
'''
Configuration for the chemistry agent.
'''
pass | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 5 | 0 | 2 | 2 | 1 | 3 | 2 | 2 | 1 | 0 | 5 | 0 | 0 |
324,260 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/chemistry/chemistry_evals.py | src.aurelian.agents.chemistry.chemistry_evals.ChemistryMetadata | from typing import Optional, Any, Dict, Callable, Awaitable
class ChemistryMetadata(Dict[str, Any]):
"""Simple metadata dictionary for Chemistry evaluations."""
pass |
class ChemistryMetadata(Dict[str, Any]):
'''Simple metadata dictionary for Chemistry evaluations.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 0 |
324,261 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/d4d/d4d_config.py | src.aurelian.agents.d4d.d4d_config.D4DConfig | from aurelian.dependencies.workdir import HasWorkdir, WorkDir
from dataclasses import dataclass
@dataclass
class D4DConfig(HasWorkdir):
"""Configuration for the D4D agent."""
schema_url: str = 'https://raw.githubusercontent.com/monarch-initiative/ontogpt/main/src/ontogpt/templates/data_sheets_schema.yaml'
... | @dataclass
class D4DConfig(HasWorkdir):
'''Configuration for the D4D agent.'''
def __post_init__(self):
'''Initialize the config with default values.'''
pass | 3 | 2 | 5 | 0 | 3 | 2 | 2 | 0.6 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 21 | 10 | 2 | 5 | 4 | 3 | 3 | 5 | 4 | 3 | 2 | 5 | 1 | 2 |
324,262 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/diagnosis/diagnosis_config.py | src.aurelian.agents.diagnosis.diagnosis_config.DiagnosisDependencies | from aurelian.dependencies.workdir import HasWorkdir, WorkDir
from dataclasses import dataclass
from typing import Optional
from oaklib.implementations import MonarchImplementation
@dataclass
class DiagnosisDependencies(HasWorkdir):
"""Configuration for the Diagnosis agent."""
max_search_results: int = 10
... | @dataclass
class DiagnosisDependencies(HasWorkdir):
'''Configuration for the Diagnosis agent.'''
def __post_init__(self):
'''Initialize the config with default values.'''
pass | 3 | 2 | 9 | 1 | 5 | 3 | 3 | 0.75 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 21 | 18 | 4 | 8 | 5 | 6 | 6 | 8 | 5 | 6 | 3 | 5 | 1 | 3 |
324,263 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/diagnosis/diagnosis_evals.py | src.aurelian.agents.diagnosis.diagnosis_evals.DiagnosisMetadata | from typing import Optional, Any, Dict, Callable, Awaitable
class DiagnosisMetadata(Dict[str, Any]):
"""Simple metadata dictionary for Diagnosis evaluations."""
pass |
class DiagnosisMetadata(Dict[str, Any]):
'''Simple metadata dictionary for Diagnosis evaluations.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 0 |
324,264 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/draw/draw_agent.py | src.aurelian.agents.draw.draw_agent.SVGDrawing | from pydantic import BaseModel
from aurelian.agents.draw.draw_tools import judge_drawing, DrawingFeedback
class SVGDrawing(BaseModel):
svg_content: str
legend: str
feedback: DrawingFeedback |
class SVGDrawing(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 4 | 0 | 4 | 1 | 3 | 0 | 4 | 1 | 3 | 0 | 5 | 0 | 0 |
324,265 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/draw/draw_config.py | src.aurelian.agents.draw.draw_config.DrawDependencies | from dataclasses import dataclass
from aurelian.dependencies.workdir import HasWorkdir
@dataclass
class DrawDependencies(HasWorkdir):
"""
Configuration for the draw agent.
"""
max_svg_size: int = 1024 * 1024
judge_feedback: bool = True | @dataclass
class DrawDependencies(HasWorkdir):
'''
Configuration for the draw agent.
'''
pass | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1.67 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 6 | 0 | 3 | 3 | 2 | 5 | 3 | 3 | 2 | 0 | 5 | 0 | 0 |
324,266 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/draw/draw_tools.py | src.aurelian.agents.draw.draw_tools.DrawingFeedback | from pydantic import BaseModel
from typing import Optional
class DrawingFeedback(BaseModel):
"""
Feedback on the drawing's clarity and simplicity.
"""
feedback: str
necessary_changes: Optional[str] = None
optional_changes: Optional[str] = None |
class DrawingFeedback(BaseModel):
'''
Feedback on the drawing's clarity and simplicity.
'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.75 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 7 | 0 | 4 | 3 | 3 | 3 | 4 | 3 | 3 | 0 | 5 | 0 | 0 |
324,267 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/filesystem/filesystem_config.py | src.aurelian.agents.filesystem.filesystem_config.FilesystemDependencies | from aurelian.dependencies.workdir import HasWorkdir, WorkDir
class FilesystemDependencies(HasWorkdir):
"""
Filesystem agent dependencies that include a working directory.
This allows the agent to maintain state and access files on the local filesystem.
"""
pass |
class FilesystemDependencies(HasWorkdir):
'''
Filesystem agent dependencies that include a working directory.
This allows the agent to maintain state and access files on the local filesystem.
'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 7 | 1 | 2 | 1 | 1 | 4 | 2 | 1 | 1 | 0 | 5 | 0 | 0 |
324,268 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/filesystem/filesystem_tools.py | src.aurelian.agents.filesystem.filesystem_tools.DownloadResult | from pydantic import BaseModel
class DownloadResult(BaseModel):
file_name: str
num_lines: int |
class DownloadResult(BaseModel):
pass | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 3 | 0 | 3 | 1 | 2 | 0 | 3 | 1 | 2 | 0 | 5 | 0 | 0 |
324,269 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/gene/gene_config.py | src.aurelian.agents.gene.gene_config.GeneDependencies | from aurelian.dependencies.workdir import HasWorkdir
from dataclasses import dataclass
@dataclass
class GeneDependencies(HasWorkdir):
"""Dependencies for the Gene Agent.
This class defines the resources and configurations needed by the Gene Agent
to retrieve gene descriptions.
"""
pass | @dataclass
class GeneDependencies(HasWorkdir):
'''Dependencies for the Gene Agent.
This class defines the resources and configurations needed by the Gene Agent
to retrieve gene descriptions.
'''
pass | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 7 | 1 | 2 | 1 | 1 | 4 | 2 | 1 | 1 | 0 | 5 | 0 | 0 |
324,270 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/github/github_agent.py | src.aurelian.agents.github.github_agent.GitHubRepoSummary | from pydantic import BaseModel
from typing import List, Optional, Dict, Any, Union
class GitHubRepoSummary(BaseModel):
"""
Summary of a GitHub repository.
"""
repo_name: str
owner: str
description: Optional[str] = None
stars: Optional[int] = None
forks: Optional[int] = None
open_iss... |
class GitHubRepoSummary(BaseModel):
'''
Summary of a GitHub repository.
'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.38 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 11 | 0 | 8 | 6 | 7 | 3 | 8 | 6 | 7 | 0 | 5 | 0 | 0 |
324,271 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/github/github_config.py | src.aurelian.agents.github.github_config.GitHubDependencies | from aurelian.dependencies.workdir import HasWorkdir, WorkDir
class GitHubDependencies(HasWorkdir):
"""
GitHub agent dependencies that include a working directory.
This allows the agent to maintain state and access files on the local filesystem.
"""
pass |
class GitHubDependencies(HasWorkdir):
'''
GitHub agent dependencies that include a working directory.
This allows the agent to maintain state and access files on the local filesystem.
'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 7 | 1 | 2 | 1 | 1 | 4 | 2 | 1 | 1 | 0 | 5 | 0 | 0 |
324,272 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/github/github_mcp.py | src.aurelian.agents.github.github_mcp.GitHubMCP | from mcp.telemetry import metadata_event
from pydantic_ai import RunContext
from aurelian.agents.github.github_config import GitHubDependencies
from aurelian.agents.github.github_tools import list_pull_requests, view_pull_request, list_issues, view_issue, get_pr_closing_issues, get_commit_before_pr, search_code, clone_... |
class GitHubMCP:
'''MCP wrapper for the GitHub agent.'''
def __init__(self, workdir: WorkDir):
'''
Initialize the GitHub MCP wrapper.
Args:
workdir: The working directory for the agent
'''
pass
def _create_context(self) -> RunContext[GitHubDependencies]... | 11 | 11 | 21 | 3 | 10 | 9 | 2 | 0.89 | 0 | 5 | 2 | 0 | 10 | 1 | 10 | 10 | 226 | 35 | 101 | 70 | 40 | 90 | 46 | 20 | 35 | 2 | 0 | 1 | 18 |
324,273 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/goann/goann_config.py | src.aurelian.agents.goann.goann_config.GOAnnotationDependencies | from oaklib import get_adapter
from aurelian.dependencies.workdir import HasWorkdir
from bioservices import UniProt
from dataclasses import dataclass, field
from oaklib.implementations import AmiGOImplementation
from typing import Dict, Any
@dataclass
class GOAnnotationDependencies(HasWorkdir):
"""
Configurati... | @dataclass
class GOAnnotationDependencies(HasWorkdir):
'''
Configuration for the GO Annotation Review agent.
Args:
taxon: NCBI Taxonomy ID, defaults to human (9606)
'''
def __post_init__(self):
'''Initialize the config with default values.'''
pass
def get_unipro... | 6 | 5 | 7 | 1 | 2 | 4 | 1 | 1.75 | 1 | 1 | 0 | 0 | 4 | 0 | 4 | 24 | 42 | 9 | 12 | 7 | 7 | 21 | 12 | 7 | 7 | 2 | 5 | 1 | 5 |
324,274 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/goann/goann_evals.py | src.aurelian.agents.goann.goann_evals.GOAnnotationMetadata | from typing import Optional, Any, Dict, Callable, Awaitable
class GOAnnotationMetadata(Dict[str, Any]):
"""Simple metadata dictionary for GO Annotation evaluations."""
pass |
class GOAnnotationMetadata(Dict[str, Any]):
'''Simple metadata dictionary for GO Annotation evaluations.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 0 |
324,275 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/gocam/gocam_agent.py | src.aurelian.agents.gocam.gocam_agent.GOCamReviewSummary | from typing import List, Optional, Dict
from pydantic import BaseModel, Field
class GOCamReviewSummary(BaseModel):
"""
Summary of the review of a GO-CAM model with rubric scores.
"""
model_id: str
model_title: str
taxa: Optional[List[str]] = Field(description='List of taxa (formal scientific na... |
class GOCamReviewSummary(BaseModel):
'''
Summary of the review of a GO-CAM model with rubric scores.
'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.18 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 20 | 0 | 17 | 15 | 16 | 3 | 17 | 15 | 16 | 0 | 5 | 0 | 0 |
324,276 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/gocam/gocam_agent.py | src.aurelian.agents.gocam.gocam_agent.Recommendation | from pydantic import BaseModel, Field
class Recommendation(BaseModel):
"""
Recommendation for improving a GO-CAM model.
"""
text: str
strength: RecommendationStrength
class Config:
schema_extra = {'example': {'text': 'Improve the clarity of the model diagram.', 'strength': Recommendati... | null | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0.3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 14 | 1 | 10 | 3 | 8 | 3 | 5 | 3 | 3 | 0 | 5 | 0 | 0 |
324,277 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/gocam/gocam_agent.py | src.aurelian.agents.gocam.gocam_agent.RecommendationStrength | from enum import Enum
class RecommendationStrength(str, Enum):
"""
Enum for recommendation strength.
"""
MAJOR = 'major'
MODERATE = 'moderate'
MINOR = 'minor' |
class RecommendationStrength(str, Enum):
'''
Enum for recommendation strength.
'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.75 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 7 | 0 | 4 | 4 | 3 | 3 | 4 | 4 | 3 | 0 | 4 | 0 | 0 |
324,278 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/gocam/gocam_config.py | src.aurelian.agents.gocam.gocam_config.GOCAMDependencies | from linkml_store.api import Collection
from typing import Optional
from linkml_store import Client
from aurelian.dependencies.workdir import HasWorkdir, WorkDir
from bioservices import UniProt
from dataclasses import dataclass, field
@dataclass
class GOCAMDependencies(HasWorkdir):
"""
Configuration for the GO... | @dataclass
class GOCAMDependencies(HasWorkdir):
'''
Configuration for the GOCAM agent.
'''
def __post_init__(self):
'''Initialize the config with default values.'''
pass
@property
def collection(self) -> Collection:
'''
Get the GOCAM collection, initializing the ... | 6 | 4 | 9 | 1 | 4 | 4 | 2 | 0.79 | 1 | 1 | 1 | 0 | 3 | 1 | 3 | 23 | 39 | 5 | 19 | 13 | 14 | 15 | 18 | 12 | 14 | 2 | 5 | 1 | 5 |
324,279 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/evals/chebi_evals.py | src.aurelian.agents.knowledge_agent.evals.chebi_evals.ChebiMetadata | from typing import Any, Dict
class ChebiMetadata(Dict[str, Any]):
"""Metadata dictionary for CHEBI evaluations."""
pass |
class ChebiMetadata(Dict[str, Any]):
'''Metadata dictionary for CHEBI evaluations.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 0 |
324,280 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/evals/cl_evals.py | src.aurelian.agents.knowledge_agent.evals.cl_evals.ClMetadata | from typing import Any, Dict
class ClMetadata(Dict[str, Any]):
"""Metadata dictionary for CL evaluations."""
pass |
class ClMetadata(Dict[str, Any]):
'''Metadata dictionary for CL evaluations.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 0 |
324,281 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/evals/go_bp_evals.py | src.aurelian.agents.knowledge_agent.evals.go_bp_evals.GoBpMetadata | from typing import Any, Dict
class GoBpMetadata(Dict[str, Any]):
"""Metadata dictionary for GO_BP evaluations."""
pass |
class GoBpMetadata(Dict[str, Any]):
'''Metadata dictionary for GO_BP evaluations.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 0 |
324,282 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/evals/go_cc_evals.py | src.aurelian.agents.knowledge_agent.evals.go_cc_evals.GoCcMetadata | from typing import Any, Dict
class GoCcMetadata(Dict[str, Any]):
"""Metadata dictionary for GO_CC evaluations."""
pass |
class GoCcMetadata(Dict[str, Any]):
'''Metadata dictionary for GO_CC evaluations.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 0 |
324,283 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/evals/go_mf_evals.py | src.aurelian.agents.knowledge_agent.evals.go_mf_evals.GoMfMetadata | from typing import Any, Dict
class GoMfMetadata(Dict[str, Any]):
"""Metadata dictionary for GO_MF evaluations."""
pass |
class GoMfMetadata(Dict[str, Any]):
'''Metadata dictionary for GO_MF evaluations.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 0 |
324,284 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/evals/mondo_simple/hpo_evals.py | src.aurelian.agents.knowledge_agent.evals.mondo_simple.hpo_evals.HpoMetadata | from typing import Any, Dict
class HpoMetadata(Dict[str, Any]):
"""Metadata dictionary for HPO evaluations."""
pass |
class HpoMetadata(Dict[str, Any]):
'''Metadata dictionary for HPO evaluations.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 0 |
324,285 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/evals/mondo_simple/mondo_evals.py | src.aurelian.agents.knowledge_agent.evals.mondo_simple.mondo_evals.MondoMetadata | from typing import Any, Dict
class MondoMetadata(Dict[str, Any]):
"""Metadata dictionary for MONDO evaluations."""
pass |
class MondoMetadata(Dict[str, Any]):
'''Metadata dictionary for MONDO evaluations.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 0 |
324,286 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/evals/mop_evals.py | src.aurelian.agents.knowledge_agent.evals.mop_evals.MopMetadata | from typing import Any, Dict
class MopMetadata(Dict[str, Any]):
"""Metadata dictionary for MOP evaluations."""
pass |
class MopMetadata(Dict[str, Any]):
'''Metadata dictionary for MOP evaluations.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 0 |
324,287 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/evals/ncbitaxon_evals.py | src.aurelian.agents.knowledge_agent.evals.ncbitaxon_evals.NcbitaxonMetadata | from typing import Any, Dict
class NcbitaxonMetadata(Dict[str, Any]):
"""Metadata dictionary for NCBITaxon evaluations."""
pass |
class NcbitaxonMetadata(Dict[str, Any]):
'''Metadata dictionary for NCBITaxon evaluations.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 0 |
324,288 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/evals/pr_evals.py | src.aurelian.agents.knowledge_agent.evals.pr_evals.PrMetadata | from typing import Any, Dict
class PrMetadata(Dict[str, Any]):
"""Metadata dictionary for PR evaluations."""
pass |
class PrMetadata(Dict[str, Any]):
'''Metadata dictionary for PR evaluations.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 0 |
324,289 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/evals/so_evals.py | src.aurelian.agents.knowledge_agent.evals.so_evals.SoMetadata | from typing import Any, Dict
class SoMetadata(Dict[str, Any]):
"""Metadata dictionary for SO evaluations."""
pass |
class SoMetadata(Dict[str, Any]):
'''Metadata dictionary for SO evaluations.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 0 |
324,290 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/evals/uberon_evals.py | src.aurelian.agents.knowledge_agent.evals.uberon_evals.UberonMetadata | from typing import Any, Dict
class UberonMetadata(Dict[str, Any]):
"""Metadata dictionary for UBERON evaluations."""
pass |
class UberonMetadata(Dict[str, Any]):
'''Metadata dictionary for UBERON evaluations.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 0 |
324,291 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/knowledge_agent_config.py | src.aurelian.agents.knowledge_agent.knowledge_agent_config.KnowledgeAgentDependencies | from dataclasses import dataclass
from aurelian.dependencies.workdir import HasWorkdir, WorkDir
from aurelian.agents.schema_generator.schema_generator_config import SchemaGeneratorDependencies
from aurelian.agents.ontology_mapper.ontology_mapper_config import OntologyMapperDependencies
@dataclass
class KnowledgeAgentD... | @dataclass
class KnowledgeAgentDependencies(HasWorkdir):
'''Dependencies for the Knowledge Agent.
This class composes dependencies from delegated agents to ensure efficient
dependency reuse as per PydanticAI best practices. When delegating to
ontology_mapper_agent or schema_generator_agent, we pass the... | 3 | 2 | 11 | 2 | 8 | 1 | 4 | 0.64 | 1 | 3 | 3 | 0 | 1 | 1 | 1 | 21 | 22 | 4 | 11 | 6 | 8 | 7 | 11 | 6 | 8 | 4 | 5 | 1 | 4 |
324,292 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/knowledge_agent_evals.py | src.aurelian.agents.knowledge_agent.knowledge_agent_evals.KnowledgeAgentMetadata | from typing import Any, Dict, Optional, List
class KnowledgeAgentMetadata(Dict[str, Any]):
"""Simple metadata dictionary for Knowledge Agent evaluations."""
pass |
class KnowledgeAgentMetadata(Dict[str, Any]):
'''Simple metadata dictionary for Knowledge Agent evaluations.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 1 | 0 | 0 |
324,293 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/knowledge_agent_models.py | src.aurelian.agents.knowledge_agent.knowledge_agent_models.ExtractionResult | from datetime import datetime
from typing import List, Optional, Dict, Any, Union
from pydantic import BaseModel, Field
class ExtractionResult(BaseModel):
"""Simple extraction result in JSON format."""
entities: List[SimpleEntity] = Field(default_factory=list)
relationships: List[SimpleRelationship] = Fiel... |
class ExtractionResult(BaseModel):
'''Simple extraction result in JSON format.'''
def to_json_dict(self) -> Dict[str, Any]:
'''Convert to simple JSON dictionary.'''
pass | 2 | 2 | 8 | 0 | 7 | 1 | 1 | 0.17 | 1 | 2 | 0 | 0 | 1 | 0 | 1 | 83 | 15 | 1 | 12 | 6 | 10 | 2 | 7 | 6 | 5 | 1 | 5 | 0 | 1 |
324,294 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/knowledge_agent_models.py | src.aurelian.agents.knowledge_agent.knowledge_agent_models.MissingEntity | from pydantic import BaseModel, Field
class MissingEntity(BaseModel):
"""Entity that was likely present in text but not extracted."""
text: str = Field(..., description='Text that might contain an entity')
suggested_type: str = Field(..., description='Suggested entity type')
reason: str = Field(..., de... |
class MissingEntity(BaseModel):
'''Entity that was likely present in text but not extracted.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 5 | 0 | 4 | 4 | 3 | 1 | 4 | 4 | 3 | 0 | 5 | 0 | 0 |
324,295 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/knowledge_agent_models.py | src.aurelian.agents.knowledge_agent.knowledge_agent_models.SimpleEntity | from typing import List, Optional, Dict, Any, Union
from pydantic import BaseModel, Field
class SimpleEntity(BaseModel):
"""General entity that adapts to any schema."""
text: str = Field(..., description='Original text mention')
entity_type: str = Field(..., description='Type from schema (gene, house, fish... |
class SimpleEntity(BaseModel):
'''General entity that adapts to any schema.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.08 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 13 | 0 | 12 | 12 | 11 | 1 | 12 | 12 | 11 | 0 | 5 | 0 | 0 |
324,296 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/knowledge_agent_models.py | src.aurelian.agents.knowledge_agent.knowledge_agent_models.SimpleRelationship | from pydantic import BaseModel, Field
from typing import List, Optional, Dict, Any, Union
class SimpleRelationship(BaseModel):
"""Simple relationship between entities."""
subject: str = Field(..., description='Subject entity text')
predicate: str = Field(..., description='Relationship type from schema')
... |
class SimpleRelationship(BaseModel):
'''Simple relationship between entities.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 6 | 0 | 5 | 5 | 4 | 1 | 5 | 5 | 4 | 0 | 5 | 0 | 0 |
324,297 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/knowledge_agent_tools.py | src.aurelian.agents.knowledge_agent.knowledge_agent_tools.EntityGroundingMatch | from pydantic import BaseModel, Field
class EntityGroundingMatch(BaseModel):
"""A grounding match for an entity in a specific ontology."""
entity: str = Field(description='The original entity text')
entity_type: str = Field(description="The entity class from the template (e.g., 'DiseaseTerm', 'PhenotypeTer... |
class EntityGroundingMatch(BaseModel):
'''A grounding match for an entity in a specific ontology.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.14 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 8 | 0 | 7 | 7 | 6 | 1 | 7 | 7 | 6 | 0 | 5 | 0 | 0 |
324,298 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/knowledge_agent_tools.py | src.aurelian.agents.knowledge_agent.knowledge_agent_tools.ExtractedEntity | from pydantic import BaseModel, Field
from typing import List, Tuple, Optional, Dict, Any
class ExtractedEntity(BaseModel):
"""A single entity extracted from text."""
text: str = Field(description='The entity text as found in the source')
entity_type: Optional[str] = Field(None, description="The type of en... |
class ExtractedEntity(BaseModel):
'''A single entity extracted from text.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 5 | 0 | 4 | 4 | 3 | 1 | 4 | 4 | 3 | 0 | 5 | 0 | 0 |
324,299 | monarch-initiative/aurelian | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/monarch-initiative_aurelian/src/aurelian/agents/knowledge_agent/knowledge_agent_tools.py | src.aurelian.agents.knowledge_agent.knowledge_agent_tools.GroundingResults | from typing import List, Tuple, Optional, Dict, Any
from pydantic import BaseModel, Field
class GroundingResults(BaseModel):
"""Comprehensive grounding results for all entities."""
entities_processed: List[str] = Field(description='List of entity texts that were processed')
annotators_used: Dict[str, str] ... |
class GroundingResults(BaseModel):
'''Comprehensive grounding results for all entities.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.17 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 7 | 0 | 6 | 6 | 5 | 1 | 6 | 6 | 5 | 0 | 5 | 0 | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.