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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
326,300 | khive-ai/khive.d | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/plan/cost_tracker.py | plan.cost_tracker.CostTracker | class CostTracker:
"""Track API costs and usage for planning operations."""
def __init__(self, config: dict | None=None):
self.total_cost = 0.0
self.request_count = 0
self.total_input_tokens = 0
self.total_output_tokens = 0
self.total_cached_tokens = 0
self.confi... | class CostTracker:
'''Track API costs and usage for planning operations.'''
def __init__(self, config: dict | None=None):
pass
def _get_pricing(self, model_name: str | None) -> dict:
'''Get pricing info from config for a given model.'''
pass
def add_request(self, input_tokens:... | 16 | 15 | 5 | 0 | 4 | 2 | 1 | 0.47 | 0 | 3 | 0 | 0 | 10 | 5 | 10 | 10 | 66 | 14 | 38 | 23 | 25 | 18 | 34 | 21 | 23 | 2 | 0 | 1 | 11 |
326,301 | khive-ai/khive.d | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/session/parts.py | session.parts.SessionRequest | from pydantic import BaseModel, Field
class SessionRequest(BaseModel):
"""Request to the session service."""
model_config = {'extra': 'forbid'}
action: str = Field(..., min_length=1, description='Session action: init, end, status (must be non-empty)')
issue: int | None = Field(None, gt=0, description='... |
class SessionRequest(BaseModel):
'''Request to the session service.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.07 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 18 | 2 | 15 | 7 | 14 | 1 | 7 | 7 | 6 | 0 | 5 | 0 | 0 |
326,302 | khive-ai/khive.d | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/session/parts.py | session.parts.SessionResponse | from pydantic import BaseModel, Field
class SessionResponse(BaseModel):
"""Response from the session service."""
model_config = {'extra': 'allow'}
success: bool = Field(..., description='Whether session operation succeeded')
summary: str = Field(..., min_length=1, description='Summary of session operat... |
class SessionResponse(BaseModel):
'''Response from the session service.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.06 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 23 | 5 | 17 | 9 | 16 | 1 | 9 | 9 | 8 | 0 | 5 | 0 | 0 |
326,303 | khive-ai/khive.d | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/session/session.py | session.session.DiaryWritingAssistant | from pathlib import Path
from khive.core import TimePolicy
from typing import Any
import re
class DiaryWritingAssistant:
"""Assistant for manual diary writing process"""
def __init__(self, dry_run: bool=False, target_date: str | None=None):
self.dry_run = dry_run
self.target_date = target_date... |
class DiaryWritingAssistant:
'''Assistant for manual diary writing process'''
def __init__(self, dry_run: bool=False, target_date: str | None=None):
pass
def find_unprocessed_summaries(self) -> dict[str, list[Path]]:
'''Find summaries that haven't been processed into diaries, grouped by d... | 8 | 7 | 26 | 4 | 19 | 3 | 5 | 0.16 | 0 | 9 | 1 | 0 | 7 | 4 | 7 | 7 | 193 | 36 | 137 | 41 | 127 | 22 | 112 | 37 | 104 | 9 | 0 | 4 | 35 |
326,304 | khive-ai/khive.d | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/session/session.py | session.session.SessionInitializer | from pathlib import Path
import shutil
import logging
import re
import subprocess
import json
from khive.core import TimePolicy
class SessionInitializer:
"""Streamlined session initialization for orchestrator"""
def __init__(self, issue: int | None=None, resume: bool=False, depth: int=7, continue_session: boo... |
class SessionInitializer:
'''Streamlined session initialization for orchestrator'''
def __init__(self, issue: int | None=None, resume: bool=False, depth: int=7, continue_session: bool=False):
pass
def run_command(self, cmd: list[str]) -> tuple[bool, str]:
'''Execute command and return suc... | 13 | 12 | 32 | 4 | 25 | 5 | 6 | 0.19 | 0 | 15 | 1 | 0 | 12 | 5 | 12 | 12 | 400 | 62 | 295 | 85 | 276 | 55 | 207 | 73 | 194 | 17 | 0 | 6 | 68 |
326,305 | khive-ai/khive.d | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/session/session_service.py | session.session_service.SessionService | from .session import DiaryWritingAssistant, SessionInitializer
import asyncio
from .parts import SessionRequest, SessionResponse
class SessionService:
"""
Session Management Service.
Wraps the SessionInitializer and DiaryWritingAssistant to provide
session management capabilities.
"""
def __i... |
class SessionService:
'''
Session Management Service.
Wraps the SessionInitializer and DiaryWritingAssistant to provide
session management capabilities.
'''
def __init__(self):
'''Initialize the session service.'''
pass
async def handle_request(self, request: SessionReques... | 10 | 10 | 16 | 2 | 10 | 4 | 2 | 0.45 | 0 | 7 | 4 | 0 | 8 | 1 | 8 | 8 | 139 | 23 | 80 | 19 | 71 | 36 | 44 | 17 | 35 | 7 | 0 | 3 | 15 |
326,306 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/EO_comms/HomeHub.py | EO_comms.HomeHub.HomeHub | import time
import RPi.GPIO as GPIO
import serial
import binascii
class HomeHub(object):
EOSerial = None
NRESET = 16
@classmethod
def identify_hardware(self):
return True
def flush_serial(self):
_LOGGER.debug('EO COMMS - HomeHub Serial Flush')
try:
self.EOSeria... |
class HomeHub(object):
@classmethod
def identify_hardware(self):
pass
def flush_serial(self):
pass
def __init__(self):
pass
def tx(self, command):
pass
def rx(self, recv_delay=3):
pass
def get_ct_readings(self):
'''
Retrieves CT ... | 10 | 1 | 16 | 2 | 12 | 2 | 2 | 0.2 | 1 | 4 | 0 | 1 | 6 | 0 | 7 | 7 | 134 | 25 | 92 | 32 | 82 | 18 | 79 | 30 | 70 | 5 | 1 | 3 | 16 |
326,307 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/EO_comms/MiniPro2.py | EO_comms.MiniPro2.CtSpiClass | import time
import spidev
import RPi.GPIO as GPIO
class CtSpiClass(object):
RUN = 57896
CFMODE = 58896
CONFIG = 58904
HPFDIS = 17334
GAIN = 58895
VERSION = 59143
AIGAIN = 17280
BIGAIN = 17282
CIGAIN = 17284
AIRMSOS = 17287
BIRMSOS = 17289
CIRMSOS = 17291
AIRMS = 1734... |
class CtSpiClass(object):
def __init__(self):
pass
def configure(self):
pass
def reg_get(self, register, size=4):
pass
def reg_set(self, register, value, size=4):
pass | 5 | 0 | 22 | 4 | 15 | 3 | 2 | 0.18 | 1 | 3 | 0 | 0 | 4 | 4 | 4 | 4 | 114 | 23 | 77 | 33 | 72 | 14 | 66 | 33 | 61 | 4 | 1 | 2 | 8 |
326,308 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/EO_comms/MiniPro2.py | EO_comms.MiniPro2.MiniPro2 | import re
import spidev
import RPi.GPIO as GPIO
import globalState
import time
from EO_comms.HomeHub import HomeHub
class MiniPro2(HomeHub):
NRESET = 16
REG_DLL = 0
REG_DLH = 1
REG_EFR = 2
REG_FCR_IIR = 2
REG_LCR = 3
REG_MCR = 4
REG_LSR = 5
REG_RXLVL = 9
REG_EFCR = 15
spi = ... |
class MiniPro2(HomeHub):
@classmethod
def identify_hardware(self):
pass
def _register_set(self, reg, val):
pass
def _register_get(self, reg):
pass
def __init__(self):
pass
def tx(self, command):
pass
def rx(self, recv_delay=3):
pass
... | 11 | 1 | 14 | 2 | 12 | 1 | 2 | 0.17 | 1 | 4 | 1 | 0 | 7 | 1 | 8 | 15 | 160 | 30 | 114 | 52 | 103 | 19 | 107 | 50 | 97 | 5 | 2 | 3 | 19 |
326,309 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/lib/PluginSuperClass.py | lib.PluginSuperClass.PluginSuperClass | import numbers
import re
import json
class PluginSuperClass:
def _convertType(self, attribute, value, typeClass, default=None):
"""
Internal method used by the configure() method. This attempts to do type conversion, or
if not possible, returns a default value.
"""
if v... |
class PluginSuperClass:
def _convertType(self, attribute, value, typeClass, default=None):
'''
Internal method used by the configure() method. This attempts to do type conversion, or
if not possible, returns a default value.
'''
pass
def __str__(self):
pass... | 7 | 1 | 9 | 0 | 7 | 1 | 3 | 0.17 | 0 | 6 | 0 | 6 | 7 | 0 | 7 | 7 | 80 | 12 | 58 | 16 | 46 | 10 | 49 | 16 | 40 | 14 | 0 | 3 | 22 |
326,310 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/lib/chargeroptions.py | lib.chargeroptions.chargeroptionsClassPlugin | import globalState
from lib.PluginSuperClass import PluginSuperClass
import util
class chargeroptionsClassPlugin(PluginSuperClass):
PRETTY_NAME = 'Charger Options'
CORE_PLUGIN = True
pluginParamSpec = {'enabled': {'type': 'bool', 'default': True}, 'always_supply_current': {'type': 'bool', 'default': False}... |
class chargeroptionsClassPlugin(PluginSuperClass):
def configure(self, configParam):
pass
def get_user_settings(self):
pass | 3 | 0 | 12 | 1 | 9 | 3 | 1 | 0.21 | 1 | 1 | 0 | 0 | 2 | 1 | 2 | 9 | 37 | 3 | 29 | 8 | 26 | 6 | 18 | 7 | 15 | 1 | 1 | 0 | 2 |
326,311 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/lib/configserver.py | lib.configserver.ThreadedServer | import http.server
import socketserver
import socket
class ThreadedServer(socketserver.ThreadingMixIn, http.server.HTTPServer):
"""This child class allows us to set the REUSEADDR and REUSEPORT options on the socket
which means the Python task can be started and stopped without breaking the config server
du... |
class ThreadedServer(socketserver.ThreadingMixIn, http.server.HTTPServer):
'''This child class allows us to set the REUSEADDR and REUSEPORT options on the socket
which means the Python task can be started and stopped without breaking the config server
due to the previous socket being in TIME_WAIT.
It's... | 2 | 1 | 5 | 0 | 4 | 1 | 1 | 1 | 2 | 1 | 0 | 0 | 1 | 0 | 1 | 30 | 11 | 1 | 5 | 2 | 3 | 5 | 5 | 2 | 3 | 1 | 3 | 0 | 1 |
326,312 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/lib/configserver.py | lib.configserver.configserverClassPlugin | import threading
import datetime
import os
import globalState
import http.server
import re
import numbers
import subprocess
import util
import json
import copy
import urllib.parse
from lib.PluginSuperClass import PluginSuperClass
from jinja2 import Environment, FileSystemLoader, TemplateNotFound, select_autoescape
impo... |
class configserverClassPlugin(PluginSuperClass):
def __init__(self, configParam):
pass
def webserver(self):
pass
class CustomHandler(http.server.BaseHTTPRequestHandler):
def load_config(self):
pass
def do_GET(self):
pass
def do_P... | 10 | 3 | 56 | 7 | 37 | 15 | 9 | 0.4 | 1 | 6 | 2 | 0 | 2 | 0 | 2 | 9 | 479 | 67 | 305 | 60 | 295 | 121 | 267 | 54 | 257 | 36 | 1 | 5 | 71 |
326,313 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/lib/loadmanagement.py | lib.loadmanagement.loadmanagementClassPlugin | from lib.PluginSuperClass import PluginSuperClass
import globalState
import util
class loadmanagementClassPlugin(PluginSuperClass):
PRETTY_NAME = 'Site and Solar Load Management'
CORE_PLUGIN = True
pluginParamSpec = {'enabled': {'type': 'bool', 'default': True}, 'solar_enable': {'type': 'bool', 'default': ... |
class loadmanagementClassPlugin(PluginSuperClass):
def poll(self):
pass
def get_user_settings(self):
pass | 3 | 0 | 8 | 0 | 8 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 2 | 9 | 32 | 2 | 30 | 8 | 27 | 0 | 14 | 7 | 11 | 2 | 1 | 1 | 3 |
326,314 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/lib/logger.py | lib.logger.databufferClass | from datetime import datetime, timedelta
from openeoCharger import openeoChargerClass
import re
import json
class databufferClass:
databuffer = {}
def __str__(self):
return json.dumps(self.databuffer, default=str)
def get_plotly(self, since=None, seriesList=None, subplot_index=None):
myDa... |
class databufferClass:
def __str__(self):
pass
def get_plotly(self, since=None, seriesList=None, subplot_index=None):
pass
def get_data(self, since=None, seriesList=None):
pass
def push(self, datapoint):
pass
def __init__(self, config, seriesDict):
pass | 6 | 0 | 31 | 6 | 19 | 6 | 7 | 0.33 | 0 | 6 | 1 | 0 | 5 | 5 | 5 | 5 | 166 | 39 | 96 | 28 | 90 | 32 | 68 | 28 | 62 | 19 | 0 | 6 | 33 |
326,315 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/lib/logger.py | lib.logger.loggerClassPlugin | from datetime import datetime, timedelta
import globalState
from lib.PluginSuperClass import PluginSuperClass
class loggerClassPlugin(PluginSuperClass):
pretty_name = 'Data Logger'
CORE_PLUGIN = True
pluginParamSpec = {'enabled': {'type': 'bool', 'default': True}, 'hires_interval': {'type': 'int', 'default... |
class loggerClassPlugin(PluginSuperClass):
def late_poll(self):
pass
def __init__(self, configParam):
pass | 3 | 0 | 11 | 2 | 8 | 2 | 2 | 0.38 | 1 | 4 | 1 | 0 | 2 | 0 | 2 | 9 | 38 | 6 | 24 | 7 | 21 | 9 | 14 | 7 | 11 | 2 | 1 | 1 | 3 |
326,316 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/lib/ocpp.py | lib.ocpp.ChargerService | from ocpp.v16 import ChargePoint, call, call_result
from ocpp.routing import on
from datetime import datetime
import json
class ChargerService(ChargePoint):
"""Implements the ChargePoint service for OCPP. Only one connector is supported, connector
id #1, with overall charge point as id #0.
This has to be... |
class ChargerService(ChargePoint):
'''Implements the ChargePoint service for OCPP. Only one connector is supported, connector
id #1, with overall charge point as id #0.
This has to be a derived class of ChargePoint, but I didn't feel comfortable merging it
completely with the overall plugin servi... | 24 | 10 | 17 | 2 | 13 | 2 | 3 | 0.18 | 1 | 5 | 0 | 0 | 16 | 3 | 16 | 16 | 383 | 51 | 292 | 70 | 268 | 52 | 177 | 61 | 160 | 11 | 1 | 6 | 45 |
326,317 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/lib/ocpp.py | lib.ocpp.ocppClassPlugin | import threading
import util
import websockets
import time
import globalState
import traceback
import logging
import asyncio
class ocppClassPlugin:
PRETTY_NAME = 'OCPP'
CORE_PLUGIN = False
myName = 'ocpp'
config = {}
thread = None
connected = False
last_heartbeat = 0
last_status = 0
... |
class ocppClassPlugin:
def __str__(self):
pass
def configure(self, configParam):
pass
def get_config(self):
pass
def sync_state(self, configParam):
pass
def poll(self):
pass
def __init__(self, configParam):
pass
async def process_event(... | 12 | 2 | 17 | 2 | 14 | 1 | 3 | 0.08 | 0 | 9 | 1 | 0 | 11 | 2 | 11 | 11 | 232 | 35 | 183 | 49 | 171 | 14 | 169 | 46 | 157 | 9 | 0 | 3 | 38 |
326,318 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/lib/scheduler.py | lib.scheduler.schedulerClassPlugin | import datetime
from lib.PluginSuperClass import PluginSuperClass
class schedulerClassPlugin(PluginSuperClass):
PRETTY_NAME = 'Scheduler'
CORE_PLUGIN = True
pluginParamSpec = {'enabled': {'type': 'bool', 'default': True}, 'schedule': {'type': 'json', 'default': '[{"start": "2200", "end": "0400", "amps": 32... |
class schedulerClassPlugin(PluginSuperClass):
def configure(self, configParam):
pass
def poll(self):
pass | 3 | 0 | 11 | 1 | 10 | 1 | 3 | 0.04 | 1 | 5 | 0 | 0 | 2 | 0 | 2 | 9 | 32 | 6 | 25 | 13 | 22 | 1 | 24 | 13 | 21 | 4 | 1 | 2 | 6 |
326,319 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/lib/switch.py | lib.switch.switchClassPlugin | import util
from lib.PluginSuperClass import PluginSuperClass
import globalState
class switchClassPlugin(PluginSuperClass):
PRETTY_NAME = 'Switch'
CORE_PLUGIN = True
pluginParamSpec = {'enabled': {'type': 'bool', 'default': True}, 'on': {'type': 'bool', 'default': False}, 'retain_state_on_startup': {'type'... |
class switchClassPlugin(PluginSuperClass):
def poll(self):
pass
def __init__(self, configParam):
pass
def get_user_settings(self):
pass | 4 | 0 | 7 | 0 | 6 | 1 | 2 | 0.08 | 1 | 1 | 0 | 0 | 3 | 1 | 3 | 10 | 33 | 5 | 26 | 9 | 22 | 2 | 21 | 8 | 17 | 2 | 1 | 1 | 5 |
326,320 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/lib/victron_ess.py | lib.victron_ess.victron_essClassPlugin | import datetime
import time
import threading
from pyModbusTCP.client import ModbusClient
import re
import globalState
class victron_essClassPlugin:
PRETTY_NAME = 'Victron ESS Integration'
CORE_PLUGIN = False
pluginConfig = {}
globalState.stateDict['eo_victron_ess_soc'] = 0
def __str__(self):
... |
class victron_essClassPlugin:
def __str__(self):
pass
def get_config(self):
pass
def configure(self, configParam):
pass
def poll(self):
pass
def __init__(self, configParam):
pass
def ess_poller(self):
pass | 7 | 0 | 10 | 2 | 7 | 1 | 2 | 0.18 | 0 | 7 | 1 | 0 | 6 | 1 | 6 | 6 | 75 | 17 | 49 | 21 | 42 | 9 | 48 | 21 | 41 | 6 | 0 | 3 | 14 |
326,321 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/openeoCharger.py | openeoCharger.openeoChargerClass | from EO_comms.HomeHub import HomeHub
from EO_comms.MiniPro2 import MiniPro2
import RPi.GPIO as GPIO
import globalState
class openeoChargerClass:
my_address = None
connected = False
CHARGER_STATES = {0: 'start', 1: 'settle-time', 2: 'test-incoming-mains', 3: 'mains-fault-start', 4: 'mains-fault', 5: 'idle-s... |
class openeoChargerClass:
def generateChecksum(self, text):
pass
def checkCheckSum(self, text):
pass
def sendSerialCommand(self, packet=''):
'''
Sends a serial command to the contoller, adding a checksum. Recieves response,
checks the checksum, then strips the che... | 7 | 3 | 27 | 4 | 19 | 4 | 4 | 0.24 | 0 | 5 | 2 | 0 | 6 | 33 | 6 | 6 | 211 | 39 | 139 | 59 | 132 | 34 | 115 | 59 | 108 | 15 | 0 | 3 | 25 |
326,322 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/openeoConfig.py | openeoConfig.openeoConfigClass | import json
import time
import sqlite3
from threading import Lock
import os
class openeoConfigClass:
DB_FILE = '/home/pi/etc/config.db'
JSON_FILE = '/home/pi/etc/config.json'
CONFIG_TABLE = 'configuration'
LOG_TABLE = 'log'
def logwrite(self, message):
"""
inserts an entry into a t... |
class openeoConfigClass:
def logwrite(self, message):
'''
inserts an entry into a table called "log" in the sqlite database
'''
pass
def logpurge(self):
'''
Purges log entries older than an hour ago
'''
pass
def exists(self, module):
... | 10 | 8 | 20 | 2 | 13 | 6 | 3 | 0.43 | 0 | 4 | 0 | 0 | 7 | 4 | 7 | 7 | 153 | 21 | 92 | 30 | 84 | 40 | 75 | 28 | 67 | 9 | 0 | 5 | 23 |
326,323 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/openeo_download.py | openeo_download.DeploymentError | class DeploymentError(Exception):
"""Custom exception for deployment-related errors."""
pass | class DeploymentError(Exception):
'''Custom exception for deployment-related errors.'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 3 | 0 | 0 |
326,324 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/pyModbusTCP/client.py | pyModbusTCP.client.DeviceIdentificationResponse | from typing import Dict
from dataclasses import dataclass, field
@dataclass
class DeviceIdentificationResponse:
"""Modbus TCP client function read_device_identification() response struct.
:param conformity_level: this represents supported access and object type
:type conformity_level: int
:param more_... | @dataclass
class DeviceIdentificationResponse:
'''Modbus TCP client function read_device_identification() response struct.
:param conformity_level: this represents supported access and object type
:type conformity_level: int
:param more_follows: for stream request can be set to 0xff if other objects are... | 16 | 1 | 2 | 0 | 2 | 0 | 1 | 0.38 | 0 | 0 | 0 | 0 | 7 | 0 | 7 | 7 | 44 | 8 | 26 | 19 | 11 | 10 | 19 | 12 | 11 | 1 | 0 | 0 | 7 |
326,325 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/pyModbusTCP/client.py | pyModbusTCP.client.ModbusClient | from .utils import byte_length, set_bit, valid_host
import logging
import random
from socket import AF_UNSPEC, SOCK_STREAM
import socket
import struct
from .constants import ENCAPSULATED_INTERFACE_TRANSPORT, EXP_DETAILS, EXP_NONE, EXP_TXT, MB_CONNECT_ERR, MB_ERR_TXT, MB_EXCEPT_ERR, MB_NO_ERR, MB_RECV_ERR, MB_SEND_ERR, ... |
class ModbusClient:
'''Modbus TCP client.'''
class _InternalError(Exception):
class _NetworkError(_InternalError):
def __init__(self, code, message):
pass
class _ModbusExcept(_InternalError):
def __init__(self, code, message):
pass
def __ini... | 73 | 39 | 16 | 0 | 9 | 7 | 3 | 0.74 | 0 | 16 | 4 | 0 | 48 | 11 | 48 | 48 | 872 | 75 | 461 | 187 | 388 | 340 | 435 | 156 | 381 | 8 | 0 | 3 | 140 |
326,326 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/pyModbusTCP/server.py | pyModbusTCP.server.DataBank | from threading import Event, Lock, Thread
from warnings import warn
class DataBank:
""" Data space class with thread safe access functions """
_DEPR_MSG = 'This class method is deprecated. Use DataBank instance method instead: '
@classmethod
def get_bits(cls, *_args, **_kwargs):
msg = DataBank... |
class DataBank:
''' Data space class with thread safe access functions '''
@classmethod
def get_bits(cls, *_args, **_kwargs):
pass
@classmethod
def set_bits(cls, *_args, **_kwargs):
pass
@classmethod
def get_words(cls, *_args, **_kwargs):
pass
@classmethod
de... | 21 | 12 | 18 | 1 | 8 | 9 | 2 | 1.09 | 0 | 5 | 0 | 0 | 12 | 17 | 16 | 16 | 309 | 31 | 133 | 60 | 108 | 145 | 117 | 52 | 100 | 6 | 0 | 4 | 39 |
326,327 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/pyModbusTCP/server.py | pyModbusTCP.server.DataHandler | from .constants import ENCAPSULATED_INTERFACE_TRANSPORT, EXP_DATA_ADDRESS, EXP_DATA_VALUE, EXP_ILLEGAL_FUNCTION, EXP_NONE, MAX_PDU_SIZE, MEI_TYPE_READ_DEVICE_ID, READ_COILS, READ_DISCRETE_INPUTS, READ_HOLDING_REGISTERS, READ_INPUT_REGISTERS, WRITE_MULTIPLE_COILS, WRITE_MULTIPLE_REGISTERS, WRITE_READ_MULTIPLE_REGISTERS,... |
class DataHandler:
'''Default data handler for ModbusServer, map server threads calls to DataBank.
Custom handler must derive from this class.
'''
class Return:
def __init__(self, exp_code, data=None):
pass
@property
def ok(self):
pass
... | 13 | 8 | 13 | 1 | 5 | 7 | 2 | 1.52 | 0 | 3 | 2 | 0 | 8 | 1 | 8 | 8 | 145 | 19 | 50 | 22 | 37 | 76 | 43 | 21 | 31 | 2 | 0 | 1 | 17 |
326,328 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/pyModbusTCP/server.py | pyModbusTCP.server.DeviceIdentification | from threading import Event, Lock, Thread
class DeviceIdentification:
""" Container class for device identification objects (MEI type 0x0E) return by function 0x2B. """
def __init__(self, vendor_name=b'', product_code=b'', major_minor_revision=b'', vendor_url=b'', product_name=b'', model_name=b'', user_applic... |
class DeviceIdentification:
''' Container class for device identification objects (MEI type 0x0E) return by function 0x2B. '''
def __init__(self, vendor_name=b'', product_code=b'', major_minor_revision=b'', vendor_url=b'', product_name=b'', model_name=b'', user_application_name=b'', objects_id=None):
... | 34 | 2 | 6 | 0 | 5 | 1 | 2 | 0.25 | 0 | 7 | 0 | 0 | 19 | 2 | 19 | 19 | 150 | 20 | 104 | 47 | 69 | 26 | 87 | 32 | 67 | 9 | 0 | 3 | 35 |
326,329 | minceheid/openeo | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/minceheid_openeo/pyModbusTCP/server.py | pyModbusTCP.server.ModbusServer | from .constants import ENCAPSULATED_INTERFACE_TRANSPORT, EXP_DATA_ADDRESS, EXP_DATA_VALUE, EXP_ILLEGAL_FUNCTION, EXP_NONE, MAX_PDU_SIZE, MEI_TYPE_READ_DEVICE_ID, READ_COILS, READ_DISCRETE_INPUTS, READ_HOLDING_REGISTERS, READ_INPUT_REGISTERS, WRITE_MULTIPLE_COILS, WRITE_MULTIPLE_REGISTERS, WRITE_READ_MULTIPLE_REGISTERS,... |
class ModbusServer:
''' Modbus TCP server '''
class Error(Exception):
''' Base exception for ModbusServer related errors. '''
class NetworkError(Error):
''' Exception raise by ModbusServer on I/O errors. '''
class DataFormatError(Error):
''' Exception raise by ModbusServer fo... | 64 | 25 | 14 | 0 | 9 | 4 | 2 | 0.5 | 0 | 19 | 6 | 0 | 16 | 12 | 16 | 16 | 674 | 67 | 405 | 173 | 340 | 202 | 353 | 154 | 299 | 10 | 0 | 4 | 102 |
326,330 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/agents/analysis_agent.py | api.agents.analysis_agent.AnalysisAgent | from litellm import completion
from api.config import Config
from typing import List
from .utils import BaseAgent, parse_response
class AnalysisAgent(BaseAgent):
"""Agent for analyzing user queries and generating database analysis."""
def get_analysis(self, user_query: str, combined_tables: list, db_descripti... |
class AnalysisAgent(BaseAgent):
'''Agent for analyzing user queries and generating database analysis.'''
def get_analysis(self, user_query: str, combined_tables: list, db_description: str, instructions: str | None=None, memory_context: str | None=None) -> dict:
'''Get analysis of user query against da... | 8 | 8 | 75 | 11 | 56 | 8 | 4 | 0.15 | 1 | 4 | 1 | 0 | 3 | 1 | 3 | 4 | 233 | 38 | 170 | 39 | 157 | 25 | 48 | 29 | 44 | 7 | 1 | 3 | 12 |
326,331 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/agents/follow_up_agent.py | api.agents.follow_up_agent.FollowUpAgent | from litellm import completion
from api.config import Config
from .utils import BaseAgent
class FollowUpAgent(BaseAgent):
"""Agent for generating helpful follow-up questions when queries fail or are off-topic."""
def generate_follow_up_question(self, user_question: str, analysis_result: dict) -> str:
... |
class FollowUpAgent(BaseAgent):
'''Agent for generating helpful follow-up questions when queries fail or are off-topic.'''
def generate_follow_up_question(self, user_question: str, analysis_result: dict) -> str:
'''
Generate helpful follow-up questions based on failed SQL translation.
... | 2 | 2 | 47 | 7 | 27 | 13 | 6 | 0.5 | 1 | 5 | 1 | 0 | 1 | 0 | 1 | 2 | 50 | 8 | 28 | 15 | 21 | 14 | 13 | 9 | 11 | 6 | 1 | 1 | 6 |
326,332 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/agents/relevancy_agent.py | api.agents.relevancy_agent.RelevancyAgent | import json
from .utils import BaseAgent, parse_response
from litellm import completion
from api.config import Config
class RelevancyAgent(BaseAgent):
"""Agent for determining relevancy of queries to database schema."""
async def get_answer(self, user_question: str, database_desc: dict) -> dict:
"""Ge... |
class RelevancyAgent(BaseAgent):
'''Agent for determining relevancy of queries to database schema.'''
async def get_answer(self, user_question: str, database_desc: dict) -> dict:
'''Get relevancy assessment for user question against database description.'''
pass | 2 | 2 | 20 | 1 | 18 | 1 | 1 | 0.16 | 1 | 3 | 1 | 0 | 1 | 1 | 1 | 2 | 24 | 2 | 19 | 5 | 17 | 3 | 7 | 4 | 5 | 1 | 1 | 0 | 1 |
326,333 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/agents/response_formatter_agent.py | api.agents.response_formatter_agent.ResponseFormatterAgent | from api.config import Config
from litellm import completion
from typing import List, Dict
class ResponseFormatterAgent:
"""Agent for generating user-readable responses from SQL query results."""
def __init__(self):
"""Initialize the response formatter agent."""
def format_response(self, user_que... |
class ResponseFormatterAgent:
'''Agent for generating user-readable responses from SQL query results.'''
def __init__(self):
'''Initialize the response formatter agent.'''
pass
def format_response(self, user_query: str, sql_query: str, query_results: List[Dict], db_description: str='') ->... | 5 | 5 | 22 | 5 | 13 | 5 | 3 | 0.4 | 0 | 4 | 1 | 0 | 4 | 0 | 4 | 4 | 94 | 22 | 52 | 24 | 45 | 21 | 38 | 22 | 33 | 8 | 0 | 2 | 13 |
326,334 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/agents/utils.py | api.agents.utils.BaseAgent | class BaseAgent:
"""Base class for agents."""
def __init__(self, queries_history: list, result_history: list):
"""Initialize the agent with query and result history."""
if result_history is None:
self.messages = []
else:
self.messages = []
for query, ... | class BaseAgent:
'''Base class for agents.'''
def __init__(self, queries_history: list, result_history: list):
'''Initialize the agent with query and result history.'''
pass | 2 | 2 | 9 | 0 | 8 | 1 | 3 | 0.22 | 0 | 2 | 0 | 3 | 1 | 1 | 1 | 1 | 12 | 1 | 9 | 4 | 7 | 2 | 8 | 4 | 6 | 3 | 0 | 2 | 3 |
326,335 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/app_factory.py | api.app_factory.SecurityMiddleware | from starlette.middleware.base import BaseHTTPMiddleware
from fastapi.responses import RedirectResponse, JSONResponse
from fastapi import FastAPI, Request, HTTPException
class SecurityMiddleware(BaseHTTPMiddleware):
"""Middleware for security checks including static file access"""
STATIC_PREFIX = '/static/'
... |
class SecurityMiddleware(BaseHTTPMiddleware):
'''Middleware for security checks including static file access'''
async def dispatch(self, request: Request, call_next):
pass | 2 | 1 | 14 | 1 | 10 | 3 | 3 | 0.33 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 19 | 3 | 12 | 5 | 10 | 4 | 9 | 5 | 7 | 3 | 1 | 2 | 3 |
326,336 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/config.py | api.config.Config | import dataclasses
import os
@dataclasses.dataclass
class Config:
"""
Configuration class for the text2sql module.
"""
AZURE_FLAG = True
if not os.getenv('OPENAI_API_KEY'):
EMBEDDING_MODEL_NAME = 'azure/text-embedding-ada-002'
COMPLETION_MODEL = 'azure/gpt-4.1'
else:
AZU... | null | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 84 | 17 | 64 | 11 | 63 | 4 | 11 | 11 | 10 | 0 | 0 | 0 | 0 |
326,337 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/config.py | api.config.EmbeddingsModel | from typing import Union
from litellm import embedding
class EmbeddingsModel:
"""Embeddings model wrapper for text embedding operations."""
def __init__(self, model_name: str, config: dict=None):
self.model_name = model_name
self.config = config
def embed(self, text: Union[str, list]) -> ... |
class EmbeddingsModel:
'''Embeddings model wrapper for text embedding operations.'''
def __init__(self, model_name: str, config: dict=None):
pass
def embed(self, text: Union[str, list]) -> list:
'''
Get the embeddings of the text
Args:
text (str|list): The text... | 4 | 3 | 9 | 2 | 4 | 4 | 1 | 1.08 | 0 | 4 | 0 | 0 | 3 | 2 | 3 | 3 | 33 | 8 | 12 | 10 | 8 | 13 | 12 | 9 | 8 | 1 | 0 | 0 | 3 |
326,338 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/graph.py | api.graph.ColumnDescription | from pydantic import BaseModel
class ColumnDescription(BaseModel):
"""Column Description"""
name: str
description: str |
class ColumnDescription(BaseModel):
'''Column Description'''
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 |
326,339 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/graph.py | api.graph.Descriptions | from pydantic import BaseModel
class Descriptions(BaseModel):
"""List of tables"""
tables_descriptions: list[TableDescription]
columns_descriptions: list[ColumnDescription] |
class Descriptions(BaseModel):
'''List of tables'''
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 |
326,340 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/graph.py | api.graph.TableDescription | from pydantic import BaseModel
class TableDescription(BaseModel):
"""Table Description"""
name: str
description: str |
class TableDescription(BaseModel):
'''Table Description'''
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 |
326,341 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/memory/graphiti_tool.py | api.memory.graphiti_tool.AzureOpenAIConfig | from api.config import Config
import os
class AzureOpenAIConfig:
"""Configuration for Azure OpenAI integration."""
def __init__(self):
os.environ['MODEL_NAME'] = 'gpt-4.1'
self.api_key = os.getenv('AZURE_API_KEY')
self.endpoint = os.getenv('AZURE_API_BASE')
self.api_version = o... |
class AzureOpenAIConfig:
'''Configuration for Azure OpenAI integration.'''
def __init__(self):
pass | 2 | 1 | 18 | 3 | 12 | 5 | 1 | 0.46 | 0 | 0 | 0 | 0 | 1 | 10 | 1 | 1 | 21 | 4 | 13 | 12 | 11 | 6 | 13 | 12 | 11 | 1 | 0 | 0 | 1 |
326,342 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/memory/graphiti_tool.py | api.memory.graphiti_tool.MemoryTool | from typing import List, Dict, Any, Optional
from datetime import datetime
from graphiti_core.search.search_config_recipes import NODE_HYBRID_SEARCH_RRF
from litellm import completion
import uuid
from api.extensions import db
from graphiti_core.nodes import EpisodeType
from graphiti_core.driver.falkordb_driver import F... |
class MemoryTool:
'''Memory management tool for handling user memories and interactions.'''
def __init__(self, user_id: str, graph_id: str):
pass
@classmethod
async def create(cls, user_id: str, graph_id: str, use_direct_entities: bool=True) -> 'MemoryTool':
'''Async factory to constru... | 15 | 12 | 45 | 7 | 30 | 8 | 6 | 0.28 | 0 | 8 | 1 | 0 | 11 | 4 | 12 | 12 | 560 | 99 | 362 | 105 | 348 | 102 | 240 | 92 | 227 | 13 | 0 | 5 | 67 |
326,343 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/routes/database.py | api.routes.database.DatabaseConnectionRequest | from pydantic import BaseModel
class DatabaseConnectionRequest(BaseModel):
"""Database connection request model.
Args:
BaseModel (_type_): _description_
"""
url: str |
class DatabaseConnectionRequest(BaseModel):
'''Database connection request model.
Args:
BaseModel (_type_): _description_
'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 7 | 1 | 2 | 1 | 1 | 4 | 2 | 1 | 1 | 0 | 5 | 0 | 0 |
326,344 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/routes/graphs.py | api.routes.graphs.ChatRequest | from pydantic import BaseModel
class ChatRequest(BaseModel):
"""Chat request model.
Args:
BaseModel (_type_): _description_
"""
chat: list[str]
result: list[str] | None = None
instructions: str | None = None |
class ChatRequest(BaseModel):
'''Chat request model.
Args:
BaseModel (_type_): _description_
'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 9 | 1 | 4 | 3 | 3 | 4 | 4 | 3 | 3 | 0 | 5 | 0 | 0 |
326,345 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/routes/graphs.py | api.routes.graphs.ConfirmRequest | from pydantic import BaseModel
class ConfirmRequest(BaseModel):
"""Confirmation request model.
Args:
BaseModel (_type_): _description_
"""
sql_query: str
confirmation: str = ''
chat: list = [] |
class ConfirmRequest(BaseModel):
'''Confirmation request model.
Args:
BaseModel (_type_): _description_
'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 9 | 1 | 4 | 3 | 3 | 4 | 4 | 3 | 3 | 0 | 5 | 0 | 0 |
326,346 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/routes/graphs.py | api.routes.graphs.GraphData | from pydantic import BaseModel
class GraphData(BaseModel):
"""Graph data model.
Args:
BaseModel (_type_): _description_
"""
database: str |
class GraphData(BaseModel):
'''Graph data model.
Args:
BaseModel (_type_): _description_
'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 7 | 1 | 2 | 1 | 1 | 4 | 2 | 1 | 1 | 0 | 5 | 0 | 0 |
326,347 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/loaders/base_loader.py | base_loader.BaseLoader | from api.config import Config
from abc import ABC, abstractmethod
from typing import AsyncGenerator, List, Any, Tuple, TYPE_CHECKING
class BaseLoader(ABC):
"""Abstract base class for data loaders."""
@staticmethod
@abstractmethod
async def load(_graph_id: str, _data) -> AsyncGenerator[tuple[bool, str]... |
class BaseLoader(ABC):
'''Abstract base class for data loaders.'''
@staticmethod
@abstractmethod
async def load(_graph_id: str, _data) -> AsyncGenerator[tuple[bool, str], None]:
'''
Load the graph data into the database.
This method must be implemented by any subclass.
'''
... | 12 | 5 | 6 | 0 | 2 | 4 | 1 | 1.25 | 1 | 2 | 0 | 5 | 0 | 0 | 1 | 21 | 10 | 1 | 4 | 3 | 1 | 5 | 3 | 2 | 1 | 1 | 4 | 0 | 1 |
326,348 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/loaders/mysql_loader.py | mysql_loader.MySQLLoader | import tqdm
import re
from api.loaders.graph_loader import load_to_graph
from pymysql.cursors import DictCursor
from typing import AsyncGenerator, Tuple, Dict, Any, List
from api.loaders.base_loader import BaseLoader
import logging
import datetime
import decimal
import pymysql
class MySQLLoader(BaseLoader):
"""
... |
class MySQLLoader(BaseLoader):
'''
Loader for MySQL databases that connects and extracts schema information.
'''
@staticmethod
def _execute_count_query(cursor, table_name: str, col_name: str) -> Tuple[int, int]:
'''
Execute query to get total count and distinct count for a column.
... | 25 | 13 | 47 | 8 | 27 | 13 | 5 | 0.44 | 1 | 12 | 0 | 0 | 0 | 0 | 10 | 31 | 519 | 91 | 298 | 80 | 276 | 130 | 176 | 67 | 164 | 10 | 5 | 3 | 52 |
326,349 | FalkorDB/QueryWeaver | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/FalkorDB_QueryWeaver/api/loaders/postgres_loader.py | postgres_loader.PostgresLoader | from typing import AsyncGenerator, Tuple, Dict, Any, List
import logging
from api.loaders.base_loader import BaseLoader
import psycopg2
import datetime
import re
import tqdm
import decimal
from api.loaders.graph_loader import load_to_graph
from psycopg2 import sql
class PostgresLoader(BaseLoader):
"""
Loader f... |
class PostgresLoader(BaseLoader):
'''
Loader for PostgreSQL databases that connects and extracts schema information.
'''
@staticmethod
def _execute_count_query(cursor, table_name: str, col_name: str) -> Tuple[int, int]:
'''
Execute query to get total count and distinct count for a c... | 23 | 12 | 48 | 7 | 29 | 12 | 5 | 0.39 | 1 | 11 | 0 | 0 | 0 | 0 | 9 | 30 | 474 | 77 | 286 | 63 | 266 | 111 | 140 | 50 | 129 | 8 | 5 | 3 | 41 |
326,350 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/docs/autodoc2_docstrings_parser.py | autodoc2_docstrings_parser.NapoleonParser | from myst_parser.parsers.sphinx_ import MystParser
from sphinx.ext.napoleon.docstring import GoogleDocstring
from docutils import nodes
class NapoleonParser(MystParser):
def parse(self, input_string: str, document: nodes.document) -> None:
config = document.settings.env.config
google_parsed = str(... |
class NapoleonParser(MystParser):
def parse(self, input_string: str, document: nodes.document) -> None:
pass | 2 | 0 | 8 | 2 | 4 | 2 | 1 | 0.4 | 1 | 2 | 0 | 0 | 1 | 0 | 1 | 1 | 9 | 2 | 5 | 4 | 3 | 2 | 5 | 4 | 3 | 1 | 1 | 0 | 1 |
326,351 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/nlp/inference/inference_base.py | inference_base.MCoreEngineWithCleanup | from megatron.bridge.training.tokenizers.tokenizer import MegatronTokenizer
from typing import Any, List, Optional, Tuple, Union
from megatron.core.inference.model_inference_wrappers.gpt.gpt_inference_wrapper import GPTInferenceWrapper
from megatron.core.inference.engines.mcore_engine import MCoreEngine
class MCoreEng... |
class MCoreEngineWithCleanup:
'''Wrapper around MCoreEngine that ensures proper cleanup of distributed resources.
This class delegates all operations to the underlying MCoreEngine while ensuring that
distributed resources are properly cleaned up when the engine is destroyed.
'''
def __init__(self,... | 4 | 2 | 7 | 0 | 4 | 3 | 1 | 0.86 | 0 | 0 | 0 | 0 | 3 | 3 | 3 | 3 | 31 | 5 | 14 | 12 | 5 | 12 | 9 | 7 | 5 | 1 | 0 | 0 | 3 |
326,352 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/deploy_base.py | nemo_deploy.deploy_base.DeployBase | from nemo_deploy.triton_deployable import ITritonDeployable
from abc import ABC, abstractmethod
class DeployBase(ABC):
def __init__(self, triton_model_name: str, triton_model_version: int=1, model=None, max_batch_size: int=128, http_port: int=8000, grpc_port: int=8001, address='0.0.0.0', allow_grpc=True, allow_ht... |
class DeployBase(ABC):
def __init__(self, triton_model_name: str, triton_model_version: int=1, model=None, max_batch_size: int=128, http_port: int=8000, grpc_port: int=8001, address='0.0.0.0', allow_grpc=True, allow_http=True, streaming=False):
pass
@abstractmethod
def deploy(self):
pass
... | 11 | 0 | 7 | 0 | 7 | 0 | 1 | 0 | 1 | 4 | 1 | 3 | 6 | 11 | 6 | 26 | 49 | 5 | 44 | 34 | 21 | 0 | 25 | 18 | 18 | 2 | 4 | 1 | 7 |
326,353 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/deploy_pytriton.py | nemo_deploy.deploy_pytriton.DeployPyTriton | from nemo_deploy.deploy_base import DeployBase
from nemo_export_deploy_common.import_utils import MISSING_TRITON_MSG, UnavailableError
class DeployPyTriton(DeployBase):
"""Deploys any models to Triton Inference Server that implements ITritonDeployable interface in nemo_deploy.
Example:
from nemo_deplo... |
class DeployPyTriton(DeployBase):
'''Deploys any models to Triton Inference Server that implements ITritonDeployable interface in nemo_deploy.
Example:
from nemo_deploy import DeployPyTriton, NemoQueryLLM
from nemo_export.tensorrt_llm import TensorRTLLM
trt_llm_exporter = TensorRTLLM(mo... | 6 | 6 | 21 | 1 | 17 | 3 | 2 | 0.48 | 1 | 5 | 1 | 0 | 5 | 9 | 5 | 31 | 142 | 16 | 85 | 31 | 66 | 41 | 34 | 9 | 28 | 4 | 5 | 2 | 12 |
326,354 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/deploy_ray.py | nemo_deploy.deploy_ray.DeployRay | import sys
from nemo_export_deploy_common.import_utils import MISSING_RAY_MSG, UnavailableError
import signal
from nemo_deploy.ray_utils import find_available_port
from typing import Optional
class DeployRay:
"""A class for managing Ray deployment and serving of models.
This class provides functionality to in... |
class DeployRay:
'''A class for managing Ray deployment and serving of models.
This class provides functionality to initialize Ray, start Ray Serve,
deploy models, and manage the lifecycle of the Ray cluster. It supports
both NeMo inframework models, Hugging Face models, and TensorRT-LLM models.
At... | 8 | 8 | 58 | 6 | 34 | 18 | 4 | 0.59 | 0 | 13 | 4 | 0 | 7 | 4 | 7 | 7 | 436 | 54 | 240 | 82 | 173 | 142 | 102 | 19 | 94 | 6 | 0 | 2 | 25 |
326,355 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/multimodal/query_multimodal.py | nemo_deploy.multimodal.query_multimodal.NemoQueryMultimodal | import requests
from nemo_export_deploy_common.import_utils import MISSING_DECORD_MSG, MISSING_PIL_MSG, MISSING_TRITON_MSG, UnavailableError
from nemo_deploy.utils import str_list2numpy
import numpy as np
from io import BytesIO
class NemoQueryMultimodal:
"""Sends a query to Triton for Multimodal inference.
Ex... |
class NemoQueryMultimodal:
'''Sends a query to Triton for Multimodal inference.
Example:
from nemo_deploy.multimodal import NemoQueryMultimodal
nq = NemoQueryMultimodal(url="localhost", model_name="neva", model_type="neva")
input_text = "Hi! What is in this image?"
output = nq.q... | 6 | 5 | 22 | 3 | 18 | 1 | 5 | 0.21 | 0 | 5 | 1 | 0 | 5 | 3 | 5 | 5 | 132 | 23 | 90 | 39 | 71 | 19 | 70 | 25 | 64 | 12 | 0 | 2 | 24 |
326,356 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/nlp/hf_deployable.py | nemo_deploy.nlp.hf_deployable.HuggingFaceLLMDeploy | import numpy as np
from nemo_deploy.utils import broadcast_list, cast_output, str_ndarray2list
from typing import Any, Dict, List, Optional
from nemo_deploy import ITritonDeployable
from nemo_export_deploy_common.import_utils import MISSING_TRITON_MSG, UnavailableError, null_decorator
from peft import PeftModel
import ... |
class HuggingFaceLLMDeploy(ITritonDeployable):
'''A Triton inference server compatible wrapper for HuggingFace models.
This class provides a standardized interface for deploying HuggingFace models
in Triton inference server. It supports various NLP tasks and handles model
loading, inference, and deploy... | 13 | 6 | 46 | 5 | 33 | 8 | 7 | 0.3 | 1 | 10 | 1 | 0 | 9 | 9 | 9 | 32 | 445 | 52 | 303 | 97 | 265 | 92 | 171 | 62 | 161 | 18 | 5 | 5 | 60 |
326,357 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/nlp/hf_deployable_ray.py | nemo_deploy.nlp.hf_deployable_ray.HFRayDeployable | import numpy as np
import time
from fastapi import FastAPI, HTTPException
from typing import Any, Dict, Optional
from nemo_deploy.ray_utils import find_available_port
from ray import serve
from nemo_deploy.nlp.hf_deployable import HuggingFaceLLMDeploy
import torch
@serve.deployment(num_replicas=1, ray_actor_options={'... | @serve.deployment(num_replicas=1, ray_actor_options={'num_gpus': 1, 'num_cpus': 8}, max_ongoing_requests=10)
@serve.ingress(app)
class HFRayDeployable:
'''A Ray Serve compatible wrapper for deploying HuggingFace models.
This class provides a standardized interface for deploying HuggingFace models
in Ray Ser... | 13 | 7 | 52 | 6 | 31 | 16 | 5 | 0.56 | 0 | 9 | 2 | 0 | 6 | 2 | 6 | 6 | 335 | 41 | 189 | 54 | 166 | 106 | 81 | 38 | 71 | 9 | 0 | 3 | 27 |
326,358 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/nlp/megatronllm_deployable.py | nemo_deploy.nlp.megatronllm_deployable.MegatronLLMDeploy | from typing import List, Optional
from nemo_deploy.utils import NEMO2, broadcast_list, cast_output, nemo_checkpoint_version, str_ndarray2list
class MegatronLLMDeploy:
"""A factory class for creating deployable instances of Megatron LLM models.
This class provides a method to get the appropriate deployable ins... |
class MegatronLLMDeploy:
'''A factory class for creating deployable instances of Megatron LLM models.
This class provides a method to get the appropriate deployable instance
based on the version of the NeMo checkpoint model used.
'''
@staticmethod
def get_deployable(nemo_checkpoint_filepath: st... | 3 | 2 | 47 | 2 | 31 | 14 | 2 | 0.55 | 0 | 5 | 1 | 0 | 0 | 0 | 1 | 1 | 55 | 4 | 33 | 16 | 17 | 18 | 5 | 2 | 3 | 2 | 0 | 1 | 2 |
326,359 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/nlp/megatronllm_deployable.py | nemo_deploy.nlp.megatronllm_deployable.MegatronLLMDeployableNemo2 | import json
from pathlib import Path
from jinja2 import Template
from typing import List, Optional
from nemo_deploy.nlp.inference.inference_base import create_mcore_engine
from nemo_deploy.utils import NEMO2, broadcast_list, cast_output, nemo_checkpoint_version, str_ndarray2list
from megatron.core.inference.inference_r... |
class MegatronLLMDeployableNemo2(ITritonDeployable):
'''Triton inference server compatible deploy class for a .nemo model file.
Args:
nemo_checkpoint_filepath (str): path for the nemo checkpoint.
num_devices (int): number of GPUs.
num_nodes (int): number of nodes.
tensor_model_p... | 16 | 8 | 36 | 3 | 26 | 7 | 4 | 0.33 | 1 | 11 | 1 | 0 | 11 | 5 | 11 | 34 | 443 | 45 | 299 | 104 | 235 | 99 | 139 | 64 | 127 | 15 | 5 | 3 | 42 |
326,360 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/nlp/megatronllm_deployable_ray.py | nemo_deploy.nlp.megatronllm_deployable_ray.MegatronRayDeployable | import random
import ray
from ray import serve
import time
import numpy as np
from fastapi import FastAPI, HTTPException
from ..ray_utils import find_available_port
from typing import Any, Dict, Optional
@serve.deployment(num_replicas=1, ray_actor_options={'num_cpus': 8}, max_ongoing_requests=32)
@serve.ingress(app)
c... | @serve.deployment(num_replicas=1, ray_actor_options={'num_cpus': 8}, max_ongoing_requests=32)
@serve.ingress(app)
class MegatronRayDeployable:
'''A Ray Serve deployment for distributed Megatron LLM models.
This class coordinates model parallelism across multiple GPUs and nodes,
with each shard handled by a ... | 12 | 6 | 55 | 5 | 41 | 10 | 4 | 0.26 | 0 | 8 | 1 | 0 | 5 | 3 | 5 | 5 | 292 | 29 | 211 | 61 | 183 | 54 | 70 | 36 | 64 | 8 | 0 | 2 | 21 |
326,361 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/nlp/megatronllm_deployable_ray.py | nemo_deploy.nlp.megatronllm_deployable_ray.ModelWorker | import torch
import ray
from typing import Any, Dict, Optional
from .megatronllm_deployable import MegatronLLMDeployableNemo2
import os
@ray.remote(num_gpus=1)
class ModelWorker:
"""Ray actor that loads and runs inference on a shard of the model.
Each ModelWorker is responsible for a specific rank in the mode... | @ray.remote(num_gpus=1)
class ModelWorker:
'''Ray actor that loads and runs inference on a shard of the model.
Each ModelWorker is responsible for a specific rank in the model parallel setup.
'''
def __init__(self, nemo_checkpoint_filepath: str, rank: int, world_size: int, tensor_model_parallel_size: i... | 4 | 2 | 32 | 2 | 29 | 3 | 3 | 0.14 | 0 | 6 | 1 | 0 | 2 | 1 | 2 | 2 | 71 | 6 | 58 | 25 | 35 | 8 | 21 | 4 | 18 | 4 | 0 | 2 | 5 |
326,362 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/nlp/query_llm.py | nemo_deploy.nlp.query_llm.NemoQueryLLM | from nemo_export_deploy_common.import_utils import MISSING_TRITON_MSG, UnavailableError
import time
import numpy as np
from nemo_deploy.utils import str_list2numpy
class NemoQueryLLM(NemoQueryLLMBase):
"""Sends a query to Triton for LLM inference.
Example:
from nemo_deploy import NemoQueryLLM
... |
class NemoQueryLLM(NemoQueryLLMBase):
'''Sends a query to Triton for LLM inference.
Example:
from nemo_deploy import NemoQueryLLM
nq = NemoQueryLLM(url="localhost", model_name="GPT-2B")
prompts = ["hello, testing GPT inference", "another GPT inference test?"]
output = nq.query_l... | 2 | 2 | 131 | 23 | 93 | 15 | 26 | 0.31 | 1 | 4 | 1 | 0 | 1 | 2 | 1 | 22 | 150 | 27 | 94 | 32 | 69 | 29 | 61 | 8 | 59 | 26 | 5 | 4 | 26 |
326,363 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/nlp/query_llm.py | nemo_deploy.nlp.query_llm.NemoQueryLLMBase | from abc import ABC
class NemoQueryLLMBase(ABC):
"""Abstract base class for querying a Large Language Model (LLM).
Args:
url (str): The URL of the inference server.
model_name (str): The name of the model to be queried.
"""
def __init__(self, url, model_name):
self.url = url
s... |
class NemoQueryLLMBase(ABC):
'''Abstract base class for querying a Large Language Model (LLM).
Args:
url (str): The URL of the inference server.
model_name (str): The name of the model to be queried.
'''
def __init__(self, url, model_name):
pass | 2 | 1 | 3 | 0 | 3 | 0 | 1 | 1.25 | 1 | 0 | 0 | 5 | 1 | 2 | 1 | 21 | 11 | 2 | 4 | 4 | 2 | 5 | 4 | 4 | 2 | 1 | 4 | 0 | 1 |
326,364 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/nlp/query_llm.py | nemo_deploy.nlp.query_llm.NemoQueryLLMHF | from nemo_deploy.utils import str_list2numpy
from typing import List, Optional
import time
import numpy as np
class NemoQueryLLMHF(NemoQueryLLMBase):
"""Sends a query to Triton for LLM inference.
Example:
from nemo_deploy import NemoQueryLLMHF
nq = NemoQueryLLMHF(url="localhost", model_name="... |
class NemoQueryLLMHF(NemoQueryLLMBase):
'''Sends a query to Triton for LLM inference.
Example:
from nemo_deploy import NemoQueryLLMHF
nq = NemoQueryLLMHF(url="localhost", model_name="GPT-2B")
prompts = ["hello, testing GPT inference", "another GPT inference test?"]
output = nq.q... | 2 | 2 | 89 | 4 | 68 | 17 | 17 | 0.48 | 1 | 4 | 0 | 0 | 1 | 2 | 1 | 22 | 110 | 8 | 69 | 25 | 51 | 33 | 43 | 8 | 41 | 17 | 5 | 3 | 17 |
326,365 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/nlp/query_llm.py | nemo_deploy.nlp.query_llm.NemoQueryLLMPyTorch | from nemo_deploy.utils import str_list2numpy
import numpy as np
import time
from typing import List, Optional
import json
class NemoQueryLLMPyTorch(NemoQueryLLMBase):
"""Sends a query to Triton for LLM inference.
Example:
from nemo_deploy import NemoTritonQueryLLMPyTorch
nq = NemoTritonQueryL... |
class NemoQueryLLMPyTorch(NemoQueryLLMBase):
'''Sends a query to Triton for LLM inference.
Example:
from nemo_deploy import NemoTritonQueryLLMPyTorch
nq = NemoTritonQueryLLMPyTorch(url="localhost", model_name="GPT-2B")
prompts = ["hello, testing GPT inference", "another GPT inference te... | 2 | 2 | 113 | 6 | 87 | 20 | 21 | 0.41 | 1 | 4 | 0 | 0 | 1 | 2 | 1 | 22 | 134 | 10 | 88 | 32 | 68 | 36 | 55 | 11 | 53 | 21 | 5 | 4 | 21 |
326,366 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/nlp/query_llm.py | nemo_deploy.nlp.query_llm.NemoQueryTRTLLMAPI | from typing import List, Optional
import numpy as np
from nemo_deploy.utils import str_list2numpy
class NemoQueryTRTLLMAPI(NemoQueryLLMBase):
"""Sends a query to Triton for TensorRT-LLM API deployment inference.
Example:
from nemo_deploy import NemoQueryTRTLLMAPI
nq = NemoQueryTRTLLMAPI(url="... |
class NemoQueryTRTLLMAPI(NemoQueryLLMBase):
'''Sends a query to Triton for TensorRT-LLM API deployment inference.
Example:
from nemo_deploy import NemoQueryTRTLLMAPI
nq = NemoQueryTRTLLMAPI(url="localhost", model_name="GPT-2B")
prompts = ["hello, testing GPT inference", "another GPT inf... | 2 | 2 | 54 | 9 | 33 | 12 | 7 | 0.76 | 1 | 3 | 0 | 0 | 1 | 2 | 1 | 22 | 73 | 13 | 34 | 16 | 24 | 26 | 22 | 7 | 20 | 7 | 5 | 3 | 7 |
326,367 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/nlp/query_llm.py | nemo_deploy.nlp.query_llm.NemoQueryvLLM | import time
from typing import List, Optional
from nemo_deploy.utils import str_list2numpy
import numpy as np
class NemoQueryvLLM(NemoQueryLLMBase):
"""Sends a query to Triton for TensorRT-LLM API deployment inference.
Example:
from nemo_deploy import NemoQueryvLLM
nq = NemoQueryvLLM(url="loc... |
class NemoQueryvLLM(NemoQueryLLMBase):
'''Sends a query to Triton for TensorRT-LLM API deployment inference.
Example:
from nemo_deploy import NemoQueryvLLM
nq = NemoQueryvLLM(url="localhost", model_name="GPT-2B")
prompts = ["hello, testing GPT inference", "another GPT inference test?"]
... | 2 | 2 | 77 | 7 | 54 | 16 | 12 | 0.55 | 1 | 4 | 0 | 0 | 1 | 2 | 1 | 22 | 96 | 11 | 55 | 20 | 41 | 30 | 32 | 7 | 30 | 12 | 5 | 2 | 12 |
326,368 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/nlp/trtllm_api_deployable.py | nemo_deploy.nlp.trtllm_api_deployable.TensorRTLLMAPIDeployable | from nemo_export_deploy_common.import_utils import MISSING_TENSORRT_LLM_MSG, MISSING_TRITON_MSG, null_decorator
from nemo_deploy import ITritonDeployable
from transformers import PreTrainedTokenizerBase
from nemo_deploy.utils import cast_output, str_ndarray2list
from typing import List, Optional, Union
import numpy as ... |
class TensorRTLLMAPIDeployable(ITritonDeployable):
'''A Triton inference server compatible wrapper for TensorRT-LLM LLM-API.
This class provides a standardized interface for deploying TensorRT-LLM LLM-API
in Triton inference server. It handles model loading, inference, and deployment configurations.
Ar... | 10 | 2 | 22 | 3 | 16 | 3 | 2 | 0.38 | 1 | 7 | 0 | 0 | 5 | 1 | 5 | 28 | 140 | 20 | 87 | 41 | 56 | 33 | 28 | 17 | 22 | 4 | 5 | 1 | 9 |
326,369 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/service/fastapi_interface_to_pytriton.py | nemo_deploy.service.fastapi_interface_to_pytriton.BaseRequest | from pydantic import BaseModel, model_validator
class BaseRequest(BaseModel):
"""Common parameters for completions and chat requests for the server.
Attributes:
model (str): The name of the model to use for completion.
max_tokens (int): The maximum number of tokens to generate in the response.... |
class BaseRequest(BaseModel):
'''Common parameters for completions and chat requests for the server.
Attributes:
model (str): The name of the model to use for completion.
max_tokens (int): The maximum number of tokens to generate in the response.
temperature (float): Sampling temperatur... | 3 | 2 | 6 | 0 | 5 | 1 | 2 | 0.75 | 1 | 0 | 0 | 2 | 1 | 0 | 1 | 83 | 24 | 3 | 12 | 7 | 9 | 9 | 11 | 6 | 9 | 2 | 5 | 1 | 2 |
326,370 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/service/fastapi_interface_to_pytriton.py | nemo_deploy.service.fastapi_interface_to_pytriton.ChatCompletionRequest | class ChatCompletionRequest(BaseRequest):
"""Represents a request for chat completion.
Attributes:
messages (list[dict]): A list of message dictionaries for chat completion.
logprobs (bool): Whether to return log probabilities for output tokens.
top_logprobs (int): Number of log probabi... | class ChatCompletionRequest(BaseRequest):
'''Represents a request for chat completion.
Attributes:
messages (list[dict]): A list of message dictionaries for chat completion.
logprobs (bool): Whether to return log probabilities for output tokens.
top_logprobs (int): Number of log probabil... | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 11 | 2 | 2 | 1 | 1 | 7 | 2 | 1 | 1 | 0 | 6 | 0 | 0 |
326,371 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/service/fastapi_interface_to_pytriton.py | nemo_deploy.service.fastapi_interface_to_pytriton.CompletionRequest | class CompletionRequest(BaseRequest):
"""Represents a request for text completion.
Attributes:
prompt (str): The input text to generate a response from.
logprobs (int): Number of log probabilities to include in the response, if applicable.
echo (bool): Whether to return the input text a... | class CompletionRequest(BaseRequest):
'''Represents a request for text completion.
Attributes:
prompt (str): The input text to generate a response from.
logprobs (int): Number of log probabilities to include in the response, if applicable.
echo (bool): Whether to return the input text as... | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 12 | 2 | 4 | 3 | 3 | 6 | 4 | 3 | 3 | 0 | 6 | 0 | 0 |
326,372 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/service/fastapi_interface_to_pytriton.py | nemo_deploy.service.fastapi_interface_to_pytriton.TritonSettings | import os
from pydantic_settings import BaseSettings
class TritonSettings(BaseSettings):
"""TritonSettings class that gets the values of TRITON_HTTP_ADDRESS and TRITON_PORT."""
_triton_service_port: int
_triton_service_ip: str
def __init__(self):
super(TritonSettings, self).__init__()
... |
class TritonSettings(BaseSettings):
'''TritonSettings class that gets the values of TRITON_HTTP_ADDRESS and TRITON_PORT.'''
def __init__(self):
pass
@property
def triton_service_port(self):
'''Returns the port number for the Triton service.'''
pass
@property
def triton_... | 6 | 3 | 6 | 0 | 5 | 1 | 1 | 0.15 | 1 | 3 | 0 | 0 | 3 | 0 | 3 | 3 | 27 | 4 | 20 | 7 | 14 | 3 | 15 | 4 | 11 | 2 | 1 | 1 | 4 |
326,373 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/triton_deployable.py | nemo_deploy.triton_deployable.ITritonDeployable | import numpy as np
from abc import ABC, abstractmethod
class ITritonDeployable(ABC):
@abstractmethod
def get_triton_input(self):
pass
@abstractmethod
def get_triton_output(self):
pass
@abstractmethod
def triton_infer_fn(self, **inputs: np.ndarray):
pass |
class ITritonDeployable(ABC):
@abstractmethod
def get_triton_input(self):
pass
@abstractmethod
def get_triton_output(self):
pass
@abstractmethod
def triton_infer_fn(self, **inputs: np.ndarray):
pass | 7 | 0 | 2 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 11 | 3 | 0 | 3 | 23 | 12 | 2 | 10 | 7 | 3 | 0 | 7 | 4 | 3 | 1 | 4 | 0 | 3 |
326,374 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export/model_adapters/embedding/embedding_adapter.py | nemo_export.model_adapters.embedding.embedding_adapter.LlamaBidirectionalHFAdapter | from typing import Literal, Optional, Union
import torch.nn.functional as F
import torch
class LlamaBidirectionalHFAdapter(torch.nn.Module):
"""
Wraps a text embedding model with pooling and normalization for bidirectional encoding.
This adapter combines a transformer model with configurable pooling strat... |
class LlamaBidirectionalHFAdapter(torch.nn.Module):
'''
Wraps a text embedding model with pooling and normalization for bidirectional encoding.
This adapter combines a transformer model with configurable pooling strategies and optional
L2 normalization to produce fixed-size embeddings from variable-len... | 5 | 4 | 26 | 4 | 13 | 9 | 2 | 0.93 | 1 | 5 | 0 | 0 | 3 | 3 | 3 | 3 | 97 | 16 | 42 | 25 | 26 | 39 | 24 | 13 | 20 | 5 | 1 | 2 | 7 |
326,375 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export/model_adapters/embedding/embedding_adapter.py | nemo_export.model_adapters.embedding.embedding_adapter.Pooling | import torch
import torch.nn.functional as F
class Pooling(torch.nn.Module):
"""
Pooling layer that aggregates token-level embeddings into sequence-level embeddings.
Supports multiple pooling strategies:
- 'avg': Average pooling over non-padded tokens
- 'cls': Uses the first token (CLS token) with... |
class Pooling(torch.nn.Module):
'''
Pooling layer that aggregates token-level embeddings into sequence-level embeddings.
Supports multiple pooling strategies:
- 'avg': Average pooling over non-padded tokens
- 'cls': Uses the first token (CLS token) with right padding
- 'cls__left': Uses the fir... | 3 | 3 | 25 | 3 | 13 | 12 | 4 | 1.31 | 1 | 3 | 0 | 0 | 2 | 1 | 2 | 2 | 65 | 10 | 26 | 12 | 23 | 34 | 21 | 12 | 18 | 6 | 1 | 1 | 7 |
326,376 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export/model_adapters/reranker/reranker_adapter.py | nemo_export.model_adapters.reranker.reranker_adapter.SequenceClassificationModelAdapterWithTypeIds | import torch
from transformers import AutoModelForSequenceClassification, AutoTokenizer
class SequenceClassificationModelAdapterWithTypeIds(torch.nn.Module):
"""Adapter for sequence classification models that use token type IDs.
This adapter wraps a HuggingFace AutoModelForSequenceClassification model
and... |
class SequenceClassificationModelAdapterWithTypeIds(torch.nn.Module):
'''Adapter for sequence classification models that use token type IDs.
This adapter wraps a HuggingFace AutoModelForSequenceClassification model
and provides a forward method that includes token_type_ids for models that
require this ... | 3 | 2 | 14 | 1 | 8 | 5 | 1 | 1.19 | 1 | 1 | 0 | 0 | 2 | 2 | 2 | 2 | 42 | 7 | 16 | 10 | 8 | 19 | 7 | 5 | 4 | 1 | 1 | 0 | 2 |
326,377 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export/model_adapters/reranker/reranker_adapter.py | nemo_export.model_adapters.reranker.reranker_adapter.SequenceClassificationModelAdapterWithoutTypeIds | import torch
from transformers import AutoModelForSequenceClassification, AutoTokenizer
class SequenceClassificationModelAdapterWithoutTypeIds(torch.nn.Module):
"""Adapter for sequence classification models that don't use token type IDs.
This adapter wraps a HuggingFace AutoModelForSequenceClassification mode... |
class SequenceClassificationModelAdapterWithoutTypeIds(torch.nn.Module):
'''Adapter for sequence classification models that don't use token type IDs.
This adapter wraps a HuggingFace AutoModelForSequenceClassification model
and provides a simplified forward method that only takes input_ids and
attentio... | 3 | 2 | 8 | 1 | 3 | 4 | 1 | 2.43 | 1 | 1 | 0 | 0 | 2 | 2 | 2 | 2 | 31 | 7 | 7 | 5 | 4 | 17 | 7 | 5 | 4 | 1 | 1 | 0 | 2 |
326,378 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export/multimodal/run.py | nemo_export.multimodal.run.MultimodalModelRunner | from transformers import AutoProcessor, CLIPImageProcessor
import einops
import numpy as np
from nemo_export.utils.constants import TRTLLM_ENGINE_DIR
import torch
from nemo_export_deploy_common.import_utils import MISSING_DECORD_MSG, MISSING_PIL_MSG, MISSING_TENSORRT_LLM_MSG, MISSING_TENSORRT_MSG, MISSING_TORCHVISION_M... |
class MultimodalModelRunner:
def __init__(self, visual_engine_dir, llm_engine_dir, modality='vision'):
pass
def init_tokenizer(self, llm_engine_dir):
pass
class return_obj:
def __init__(self, visual_engine_dir, llm_engine_dir, modality='vision'):
pass
... | 39 | 0 | 26 | 3 | 22 | 1 | 4 | 0.05 | 0 | 11 | 2 | 0 | 26 | 17 | 27 | 27 | 894 | 134 | 732 | 221 | 652 | 36 | 495 | 174 | 454 | 15 | 0 | 4 | 140 |
326,379 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export/onnx_llm_exporter.py | nemo_export.onnx_llm_exporter.OnnxLLMExporter | import numpy as np
from typing import Any, Callable, Dict, List, Optional, Union
from nemo_export.utils import get_example_inputs, get_model_device_type, is_nemo2_checkpoint, validate_fp8_network
from transformers import AutoModel, AutoTokenizer
from pathlib import Path
import warnings
from nemo_deploy import ITritonDe... |
class OnnxLLMExporter(ITritonDeployable):
'''Exports models to ONNX and run fast inference.
Example:
from nemo_export.onnx_llm_exporter import OnnxLLMExporter
onnx_llm_exporter = OnnxLLMExporter(
onnx_model_dir="/path/for/onnx_model/files",
model_name_or_path="/path/for/... | 24 | 13 | 23 | 3 | 17 | 4 | 4 | 0.28 | 1 | 14 | 1 | 0 | 17 | 9 | 17 | 40 | 437 | 66 | 289 | 101 | 225 | 82 | 194 | 54 | 176 | 19 | 5 | 4 | 74 |
326,380 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export/sentencepiece_tokenizer.py | nemo_export.sentencepiece_tokenizer.SentencePieceTokenizer | import torch
import sentencepiece
from typing import Dict, List, Optional, Union
import numpy as np
import os
class SentencePieceTokenizer:
"""SentencePieceTokenizer (https://github.com/google/sentencepiece).
Args:
model_path: path to sentence piece tokenizer model.
special_tokens: either list... |
class SentencePieceTokenizer:
'''SentencePieceTokenizer (https://github.com/google/sentencepiece).
Args:
model_path: path to sentence piece tokenizer model.
special_tokens: either list of special tokens or dictionary of token name to token value
legacy: when set to True, the previous be... | 34 | 2 | 10 | 1 | 8 | 0 | 3 | 0.05 | 0 | 11 | 0 | 0 | 23 | 7 | 23 | 23 | 264 | 48 | 206 | 77 | 166 | 11 | 161 | 60 | 137 | 8 | 0 | 4 | 61 |
326,381 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export/tarutils.py | nemo_export.tarutils.TarPath | import os
import fnmatch
import tarfile
from typing import IO, Union
class TarPath:
"""A class that represents a path inside a TAR archive and behaves like pathlib.Path.
Expected use is to create a TarPath for the root of the archive first, and then derive
paths to other files or directories inside the ar... |
class TarPath:
'''A class that represents a path inside a TAR archive and behaves like pathlib.Path.
Expected use is to create a TarPath for the root of the archive first, and then derive
paths to other files or directories inside the archive like so:
with TarPath('/path/to/archive.tar') as archive:
... | 22 | 12 | 8 | 0 | 6 | 1 | 3 | 0.25 | 0 | 10 | 0 | 0 | 17 | 3 | 17 | 17 | 171 | 27 | 115 | 35 | 93 | 29 | 107 | 31 | 89 | 7 | 0 | 3 | 45 |
326,382 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export/tarutils.py | nemo_export.tarutils.ZarrPathStore | class ZarrPathStore(BaseStore):
"""An implementation of read-only Store for zarr library that works with pathlib.Path or TarPath objects."""
def __init__(self, tarpath: TarPath):
assert HAVE_ZARR, 'Package zarr>=2.18.2,<3.0.0 is required to use ZarrPathStore'
self._path = tarpath
self._... | class ZarrPathStore(BaseStore):
'''An implementation of read-only Store for zarr library that works with pathlib.Path or TarPath objects.'''
def __init__(self, tarpath: TarPath):
pass
def __getitem__(self, key):
pass
def __contains__(self, key):
pass
def __iter__(self):
... | 9 | 2 | 3 | 0 | 3 | 0 | 1 | 0.1 | 1 | 2 | 1 | 0 | 8 | 3 | 8 | 8 | 31 | 8 | 21 | 14 | 12 | 2 | 21 | 12 | 12 | 1 | 1 | 1 | 8 |
326,383 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export/tensorrt_llm.py | nemo_export.tensorrt_llm.TensorRTLLM | from nemo_deploy.utils import cast_output, str_ndarray2list
from nemo_deploy import ITritonDeployable
from transformers import AutoConfig, PreTrainedTokenizerBase
import json
from megatron.core.export.trtllm.model_to_trllm_mapping.default_conversion_dict import DEFAULT_CONVERSION_DICT
from megatron.core.export.model_ty... |
class TensorRTLLM(ITritonDeployable):
'''Exports nemo and huggingface checkpoints to TensorRT-LLM and run fast inference.
This class provides functionality to export NeMo and HuggingFace models to TensorRT-LLM
format and run inference using the exported models. It supports various model architectures
a... | 28 | 18 | 47 | 4 | 34 | 9 | 5 | 0.27 | 1 | 19 | 1 | 0 | 20 | 10 | 20 | 43 | 1,001 | 109 | 705 | 186 | 592 | 190 | 290 | 98 | 268 | 25 | 5 | 3 | 103 |
326,384 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export/tensorrt_llm_deployable_ray.py | nemo_export.tensorrt_llm_deployable_ray.TensorRTLLMRayDeployable | import numpy as np
from fastapi import FastAPI, HTTPException
from nemo_export_deploy_common.import_utils import MISSING_RAY_MSG, UnavailableError
import time
from typing import Any, Dict, List
from nemo_export.tensorrt_llm import TensorRTLLM
@serve.deployment(num_replicas=1, ray_actor_options={'num_gpus': 1, 'num_cpu... | @serve.deployment(num_replicas=1, ray_actor_options={'num_gpus': 1, 'num_cpus': 8}, max_ongoing_requests=10)
@serve.ingress(app)
class TensorRTLLMRayDeployable:
'''A Ray Serve compatible wrapper for deploying TensorRT-LLM models.
This class provides a standardized interface for deploying TensorRT-LLM models
... | 12 | 6 | 44 | 4 | 32 | 9 | 5 | 0.35 | 0 | 8 | 2 | 0 | 5 | 2 | 5 | 5 | 249 | 28 | 164 | 47 | 145 | 58 | 64 | 31 | 58 | 10 | 0 | 3 | 24 |
326,385 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export/tensorrt_mm_exporter.py | nemo_export.tensorrt_mm_exporter.TensorRTMMExporter | from typing import List
from nemo_export.multimodal.build import build_mllama_engine, build_trtllm_engine, build_visual_engine, extract_lora_ckpt
import os
from nemo_deploy import ITritonDeployable
import numpy as np
from nemo_export.multimodal.run import MultimodalModelRunner
import shutil
import tempfile
from pathlib... |
class TensorRTMMExporter(ITritonDeployable):
'''Exports nemo checkpoints to TensorRT and run fast inference.
Example:
from nemo_export import TensorRTMMExporter
exporter = TensorRTMMExporter(model_dir="/path/for/model/files")
exporter.export(
visual_checkpoint_path="/path/fo... | 13 | 4 | 33 | 2 | 31 | 1 | 5 | 0.07 | 1 | 13 | 2 | 0 | 8 | 3 | 8 | 31 | 302 | 26 | 260 | 76 | 200 | 17 | 124 | 34 | 113 | 16 | 5 | 4 | 42 |
326,386 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export/tiktoken_tokenizer.py | nemo_export.tiktoken_tokenizer.TiktokenTokenizer | from pathlib import Path
import tiktoken
import torch
import numpy as np
class TiktokenTokenizer:
def __init__(self, vocab_file: str):
self.num_special_tokens = 1000
vocab_size = DEFAULT_TIKTOKEN_MAX_VOCAB
pattern = PATTERN_TIKTOKEN
special_tokens = SPECIAL_TOKENS.copy()
in... |
class TiktokenTokenizer:
def __init__(self, vocab_file: str):
pass
def encode(self, text):
pass
def decode(self, tokens):
pass
def batch_decode(self, ids):
pass
@property
def pad_id(self):
pass
@property
def bos_token_id(self):
pass
... | 11 | 0 | 7 | 1 | 6 | 1 | 1 | 0.11 | 0 | 3 | 0 | 0 | 7 | 4 | 7 | 7 | 59 | 11 | 45 | 22 | 34 | 5 | 32 | 19 | 24 | 3 | 0 | 1 | 10 |
326,387 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export/trt_llm/tensorrt_llm_run.py | nemo_export.trt_llm.tensorrt_llm_run.TensorrtLLMHostContext | from transformers import PreTrainedTokenizer
from dataclasses import dataclass
@dataclass
class TensorrtLLMHostContext:
"""The host side context for TRT LLM inference."""
executor: MPIPoolExecutor = None
world_size: int = 1
tokenizer: PreTrainedTokenizer = None
max_batch_size: int = 0
max_input... | @dataclass
class TensorrtLLMHostContext:
'''The host side context for TRT LLM inference.'''
pass | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 7 | 7 | 6 | 1 | 7 | 7 | 6 | 0 | 0 | 0 | 0 |
326,388 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export/trt_llm/tensorrt_llm_run.py | nemo_export.trt_llm.tensorrt_llm_run.TensorrtLLMWorkerContext | from dataclasses import dataclass
@dataclass
class TensorrtLLMWorkerContext:
"""The MPI worker side context for TRT LLM inference."""
decoder: ModelRunner | ModelRunnerCpp = None
sampling_config: SamplingConfig = None
lora_manager: LoraManager = None
max_batch_size: int = 0
max_input_len: int =... | @dataclass
class TensorrtLLMWorkerContext:
'''The MPI worker side context for TRT LLM inference.'''
pass | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 6 | 6 | 5 | 1 | 6 | 6 | 5 | 0 | 0 | 0 | 0 |
326,389 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export/utils/model_loader.py | nemo_export.utils.model_loader.TarFileSystemReader | from torch.distributed.checkpoint import FileSystemReader, load
from pathlib import Path
from nemo_export.tarutils import TarPath, ZarrPathStore
from typing import Any, Dict, Union
class TarFileSystemReader(FileSystemReader):
"""Reader that accepts both Path and TarPath checkpoint directory.
The FileSystemRea... |
class TarFileSystemReader(FileSystemReader):
'''Reader that accepts both Path and TarPath checkpoint directory.
The FileSystemReader works with TarPath, but expects a pure Path.
It's enough to skip the Path check in __init__.
'''
def __init__(self, path: Union[Path, TarPath]) -> None:
'''M... | 2 | 2 | 6 | 0 | 5 | 2 | 3 | 1 | 1 | 4 | 1 | 0 | 1 | 1 | 1 | 1 | 13 | 2 | 6 | 4 | 4 | 6 | 6 | 4 | 4 | 3 | 1 | 1 | 3 |
326,390 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export/vllm_exporter.py | nemo_export.vllm_exporter.vLLMExporter | from typing import Any, Dict, List, Literal
from nemo_deploy import ITritonDeployable
import tempfile
from nemo_export.utils import is_nemo2_checkpoint
import numpy as np
from pathlib import Path
from nemo_export_deploy_common.import_utils import MISSING_NEMO_MSG, MISSING_TRITON_MSG, MISSING_VLLM_MSG, UnavailableError
... |
class vLLMExporter(ITritonDeployable):
'''
vLLMExporter enables deployment of Hugging Face or NeMo2 models using vLLM and Triton.
This class wraps vLLM APIs to load a model and make it deployable with Triton Inference Server.
It supports exporting NeMo2 checkpoints to Hugging Face format if needed, and... | 15 | 11 | 37 | 4 | 22 | 11 | 5 | 0.56 | 1 | 11 | 1 | 0 | 10 | 2 | 10 | 33 | 411 | 53 | 230 | 73 | 184 | 129 | 132 | 38 | 120 | 13 | 5 | 5 | 45 |
326,391 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export_deploy_common/import_utils.py | nemo_export_deploy_common.import_utils.UnavailableError | class UnavailableError(Exception):
"""Error thrown if a symbol is unavailable due to an issue importing it""" | class UnavailableError(Exception):
'''Error thrown if a symbol is unavailable due to an issue importing it'''
pass | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 3 | 0 | 0 |
326,392 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export_deploy_common/import_utils.py | nemo_export_deploy_common.import_utils.UnavailableMeta | class UnavailableMeta(type):
"""A metaclass for generating placeholder objects for unavailable symbols
This metaclass allows errors to be deferred from import time to the time
that a symbol is actually used in order to streamline the usage of optional
dependencies. This is particularly useful for attem... | class UnavailableMeta(type):
'''A metaclass for generating placeholder objects for unavailable symbols
This metaclass allows errors to be deferred from import time to the time
that a symbol is actually used in order to streamline the usage of optional
dependencies. This is particularly useful for attemp... | 48 | 1 | 2 | 0 | 2 | 0 | 1 | 0.19 | 1 | 2 | 1 | 0 | 47 | 0 | 47 | 60 | 174 | 50 | 104 | 48 | 56 | 20 | 102 | 48 | 54 | 2 | 2 | 1 | 50 |
326,393 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_export_deploy_common/import_utils.py | nemo_export_deploy_common.import_utils.UnavailableNullContext | class UnavailableNullContext:
"""A placeholder class for unavailable context managers
This context manager will return a value which will throw an
UnavailableError if used in any way, but the context manager itself can be
safely invoked.
"""
def __init__(self, *args, **kwargs):
pass
... | class UnavailableNullContext:
'''A placeholder class for unavailable context managers
This context manager will return a value which will throw an
UnavailableError if used in any way, but the context manager itself can be
safely invoked.
'''
def __init__(self, *args, **kwargs):
pass
... | 4 | 1 | 3 | 0 | 3 | 0 | 1 | 0.45 | 0 | 1 | 1 | 0 | 3 | 0 | 3 | 3 | 20 | 4 | 11 | 4 | 7 | 5 | 7 | 4 | 3 | 1 | 0 | 0 | 3 |
326,394 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/nlp/inference/tron_utils.py | tron_utils.DistributedInitConfig | from dataclasses import dataclass, field
from typing import Callable, List, Literal, Optional, Union
import os
@dataclass
class DistributedInitConfig:
"""Configuration settings for distributed training initialization."""
distributed_backend: Literal['nccl', 'gloo'] = 'nccl'
'Which backend to use for distri... | @dataclass
class DistributedInitConfig:
'''Configuration settings for distributed training initialization.'''
pass | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 2.1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 10 | 10 | 10 | 9 | 21 | 10 | 10 | 9 | 0 | 0 | 0 | 0 |
326,395 | NVIDIA-NeMo/Export-Deploy | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/NVIDIA-NeMo_Export-Deploy/nemo_deploy/nlp/inference/tron_utils.py | tron_utils.RNGConfig | from dataclasses import dataclass, field
@dataclass
class RNGConfig:
"""Configuration settings for random number generation."""
seed: int = 1234
'Random seed used for python, numpy, pytorch, and cuda.'
te_rng_tracker: bool = False
'Use the Transformer Engine version of the random number generator.\... | @dataclass
class RNGConfig:
'''Configuration settings for random number generation.'''
pass | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 4 | 5 | 5 | 4 | 6 | 5 | 5 | 4 | 0 | 0 | 0 | 0 |
326,396 | danielmeppiel/awd-cli | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/danielmeppiel_awd-cli/src/apm_cli/adapters/client/base.py | apm_cli.adapters.client.base.MCPClientAdapter | from abc import ABC, abstractmethod
class MCPClientAdapter(ABC):
"""Base adapter for MCP clients."""
@abstractmethod
def get_config_path(self):
"""Get the path to the MCP configuration file."""
pass
@abstractmethod
def update_config(self, config_updates):
"""Update the MCP... |
class MCPClientAdapter(ABC):
'''Base adapter for MCP clients.'''
@abstractmethod
def get_config_path(self):
'''Get the path to the MCP configuration file.'''
pass
@abstractmethod
def update_config(self, config_updates):
'''Update the MCP configuration.'''
pass
@a... | 9 | 5 | 5 | 1 | 2 | 3 | 1 | 0.92 | 1 | 0 | 0 | 1 | 4 | 0 | 4 | 24 | 31 | 6 | 13 | 9 | 4 | 12 | 9 | 5 | 4 | 1 | 4 | 0 | 4 |
326,397 | danielmeppiel/awd-cli | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/danielmeppiel_awd-cli/src/apm_cli/adapters/client/vscode.py | apm_cli.adapters.client.vscode.VSCodeClientAdapter | import json
from ...registry.client import SimpleRegistryClient
from ...registry.integration import RegistryIntegration
from pathlib import Path
from .base import MCPClientAdapter
import os
class VSCodeClientAdapter(MCPClientAdapter):
"""VSCode implementation of MCP client adapter.
This adapter handles VSCode... |
class VSCodeClientAdapter(MCPClientAdapter):
'''VSCode implementation of MCP client adapter.
This adapter handles VSCode-specific configuration for MCP servers using
a repository-level .vscode/mcp.json file, following the format specified
in the VSCode documentation.
'''
def __init__(self, reg... | 7 | 7 | 46 | 7 | 26 | 13 | 8 | 0.51 | 1 | 8 | 2 | 0 | 6 | 2 | 6 | 30 | 286 | 51 | 156 | 38 | 149 | 80 | 124 | 31 | 117 | 26 | 5 | 5 | 50 |
326,398 | danielmeppiel/awd-cli | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/danielmeppiel_awd-cli/src/apm_cli/adapters/package_manager/base.py | apm_cli.adapters.package_manager.base.MCPPackageManagerAdapter | from abc import ABC, abstractmethod
class MCPPackageManagerAdapter(ABC):
"""Base adapter for MCP package managers."""
@abstractmethod
def install(self, package_name, version=None):
"""Install an MCP package."""
pass
@abstractmethod
def uninstall(self, package_name):
"""Uni... |
class MCPPackageManagerAdapter(ABC):
'''Base adapter for MCP package managers.'''
@abstractmethod
def install(self, package_name, version=None):
'''Install an MCP package.'''
pass
@abstractmethod
def uninstall(self, package_name):
'''Uninstall an MCP package.'''
pass... | 9 | 5 | 3 | 0 | 2 | 1 | 1 | 0.38 | 1 | 0 | 0 | 1 | 4 | 0 | 4 | 24 | 22 | 4 | 13 | 9 | 4 | 5 | 9 | 5 | 4 | 1 | 4 | 0 | 4 |
326,399 | danielmeppiel/awd-cli | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/danielmeppiel_awd-cli/src/apm_cli/adapters/package_manager/default_manager.py | apm_cli.adapters.package_manager.default_manager.DefaultMCPPackageManager | from .base import MCPPackageManagerAdapter
from ...config import get_default_client
from ...registry.integration import RegistryIntegration
class DefaultMCPPackageManager(MCPPackageManagerAdapter):
"""Implementation of the default MCP package manager."""
def install(self, package_name, version=None):
... |
class DefaultMCPPackageManager(MCPPackageManagerAdapter):
'''Implementation of the default MCP package manager.'''
def install(self, package_name, version=None):
'''Install an MCP package.
Args:
package_name (str): Name of the package to install.
version (str, optional)... | 5 | 5 | 28 | 6 | 13 | 9 | 3 | 0.71 | 1 | 4 | 2 | 0 | 4 | 0 | 4 | 28 | 116 | 29 | 51 | 26 | 43 | 36 | 50 | 22 | 42 | 4 | 5 | 3 | 12 |
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