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Types & classes185 in github.com/cxcscmu/AutoGEO

↓ 269 callersClassStringFormatter
LLaMA-Factory/src/llamafactory/data/formatter.py:62
↓ 45 callersClassEmptyFormatter
LLaMA-Factory/src/llamafactory/data/formatter.py:46
↓ 39 callersClassToolFormatter
LLaMA-Factory/src/llamafactory/data/formatter.py:127
↓ 35 callersClassFunctionFormatter
LLaMA-Factory/src/llamafactory/data/formatter.py:92
↓ 11 callersClassDataArguments
r"""Arguments pertaining to what data we are going to input our model for training and evaluation.
LLaMA-Factory/src/llamafactory/hparams/data_args.py:23
↓ 9 callersClassDatasetAttr
r"""Dataset attributes.
LLaMA-Factory/src/llamafactory/data/parser.py:27
↓ 9 callersClassDatasetConfig
Configuration for a dataset in a mixture.
open-r1/src/open_r1/configs.py:23
↓ 8 callersClassChatModel
r"""General class for chat models. Backed by huggingface or vllm engines. Supports both sync and async methods. Sync methods: chat(), stream_
LLaMA-Factory/src/llamafactory/chat/chat_model.py:42
↓ 7 callersClassPistonError
open-r1/src/open_r1/utils/competitive_programming/piston_client.py:12
↓ 7 callersClassScriptArguments
Extended version of ScriptArguments with support for dataset mixtures. Args: dataset_mixture (`dict[str, Any]` or `None`, *optional*
open-r1/src/open_r1/configs.py:43
↓ 6 callersClassDatasetMixtureConfig
Configuration for a mixture of datasets.
open-r1/src/open_r1/configs.py:34
↓ 6 callersClassFinetuningArguments
r"""Arguments pertaining to which techniques we are going to fine-tuning with.
LLaMA-Factory/src/llamafactory/hparams/finetuning_args.py:398
↓ 6 callersClassFunctionCall
LLaMA-Factory/src/llamafactory/data/tool_utils.py:25
↓ 6 callersClassSaveProcessorCallback
r"""A callback for saving the processor.
LLaMA-Factory/src/llamafactory/train/callbacks.py:113
↓ 5 callersClassChatCompletionMessage
LLaMA-Factory/src/llamafactory/api/protocol.py:92
↓ 5 callersClassModelArguments
r"""Arguments pertaining to which model/config/tokenizer we are going to fine-tune or infer. The class on the most right will be displayed first.
LLaMA-Factory/src/llamafactory/hparams/model_args.py:380
↓ 5 callersClassMultiModalDataCollatorForSeq2Seq
r"""Data collator that supports VLMs. Features should contain input_ids, attention_mask, labels, and optionally contain images, videos and audios
LLaMA-Factory/src/llamafactory/data/collator.py:85
↓ 4 callersClassDataset
Supported datasets.
autogeo/config.py:8
↓ 4 callersClassRoutedSandbox
A sandbox environment that routes code execution requests to the E2B Router. This class is designed for batched execution of scripts, primari
open-r1/src/open_r1/utils/routed_sandbox.py:22
↓ 4 callersClassScriptResult
ScriptResult is a Pydantic model that represents the result of a script execution. Attributes: text (Optional[str]): The output text
open-r1/scripts/morph_router.py:43
↓ 3 callersClassResponse
LLaMA-Factory/src/llamafactory/chat/base_engine.py:32
↓ 3 callersClassRoutedMorphSandbox
Client for the MorphCloud router service that mimics the API of MorphCloud's Sandbox. This class provides a simple interface to execute code
open-r1/src/open_r1/utils/routed_morph.py:21
↓ 2 callersClassAverageMeter
r"""Compute and store the average and current value.
LLaMA-Factory/src/llamafactory/extras/misc.py:57
↓ 2 callersClassCustomSeq2SeqTrainer
r"""Inherits Seq2SeqTrainer to compute generative metrics such as BLEU and ROUGE.
LLaMA-Factory/src/llamafactory/train/sft/trainer.py:46
↓ 2 callersClassDummyOptimizer
r"""A dummy optimizer used for the GaLore or APOLLO algorithm.
LLaMA-Factory/src/llamafactory/train/trainer_utils.py:66
↓ 2 callersClassEngine
r"""A general engine to control the behaviors of Web UI.
LLaMA-Factory/src/llamafactory/webui/engine.py:28
↓ 2 callersClassPairwiseDataCollatorWithPadding
r"""Data collator for pairwise data.
LLaMA-Factory/src/llamafactory/data/collator.py:255
↓ 2 callersClassScriptResult
ScriptResult is a Pydantic model that represents the result of a script execution. Attributes: execution (Optional[Execution]): An op
open-r1/scripts/e2b_router.py:47
↓ 2 callersClassSubtaskResult
Represents the result of a subtask containing multiple test cases. Attributes: problem: Problem identifier subtask: Subtask
open-r1/src/open_r1/utils/competitive_programming/ioi_scoring.py:29
↓ 2 callersClassTestResult
Represents the result of a single test case execution. Attributes: test_name: Name of the test case score: Score achieved fo
open-r1/src/open_r1/utils/competitive_programming/ioi_scoring.py:11
↓ 1 callersClassAutoGEOLogger
Logger for AutoGEO operations with file and console output.
autogeo/utils/logger.py:11
↓ 1 callersClassCMMLUConfig
LLaMA-Factory/evaluation/cmmlu/cmmlu.py:113
↓ 1 callersClassCevalConfig
LLaMA-Factory/evaluation/ceval/ceval.py:98
↓ 1 callersClassChatCompletionResponse
LLaMA-Factory/src/llamafactory/api/protocol.py:130
↓ 1 callersClassChatCompletionResponseChoice
LLaMA-Factory/src/llamafactory/api/protocol.py:112
↓ 1 callersClassChatCompletionResponseUsage
LLaMA-Factory/src/llamafactory/api/protocol.py:124
↓ 1 callersClassChatCompletionStreamResponse
LLaMA-Factory/src/llamafactory/api/protocol.py:139
↓ 1 callersClassChatCompletionStreamResponseChoice
LLaMA-Factory/src/llamafactory/api/protocol.py:118
↓ 1 callersClassCompositeModel
LLaMA-Factory/src/llamafactory/model/model_utils/visual.py:41
↓ 1 callersClassComputeAccuracy
r"""Compute reward accuracy and support `batch_eval_metrics`.
LLaMA-Factory/src/llamafactory/train/rm/metric.py:28
↓ 1 callersClassComputeAccuracy
r"""Compute accuracy and support `batch_eval_metrics`.
LLaMA-Factory/src/llamafactory/train/sft/metric.py:62
↓ 1 callersClassComputeSimilarity
r"""Compute text similarity scores and support `batch_eval_metrics`. Wraps the tokenizer into metric functions, used in CustomSeq2SeqTrainer.
LLaMA-Factory/src/llamafactory/train/sft/metric.py:88
↓ 1 callersClassCustomDPOTrainer
LLaMA-Factory/src/llamafactory/train/dpo/trainer.py:43
↓ 1 callersClassCustomKTOTrainer
LLaMA-Factory/src/llamafactory/train/kto/trainer.py:42
↓ 1 callersClassCustomPPOTrainer
r"""Inherit PPOTrainer.
LLaMA-Factory/src/llamafactory/train/ppo/trainer.py:64
↓ 1 callersClassCustomSpaceSavingGRPOTrainer
open-r1/src/grpo.py:49
↓ 1 callersClassCustomTrainer
r"""Inherit Trainer for custom optimizer.
LLaMA-Factory/src/llamafactory/train/pt/trainer.py:33
↓ 1 callersClassDataCollatorWithVerbose
LLaMA-Factory/tests/train/test_sft_trainer.py:49
↓ 1 callersClassDefaultToolUtils
r"""Default tool using template.
LLaMA-Factory/src/llamafactory/data/tool_utils.py:87
↓ 1 callersClassDummyConfig
open-r1/src/open_r1/utils/callbacks.py:37
↓ 1 callersClassE2BProvider
Provider that executes code using E2B sandboxes.
open-r1/src/open_r1/utils/code_providers.py:63
↓ 1 callersClassEvalTemplate
LLaMA-Factory/src/llamafactory/eval/template.py:22
↓ 1 callersClassEvaluator
LLaMA-Factory/src/llamafactory/eval/evaluator.py:61
↓ 1 callersClassFunction
LLaMA-Factory/src/llamafactory/api/protocol.py:51
↓ 1 callersClassFunctionCall
LLaMA-Factory/src/llamafactory/api/protocol.py:67
↓ 1 callersClassGLM4ToolUtils
r"""GLM-4 tool using template.
LLaMA-Factory/src/llamafactory/data/tool_utils.py:151
↓ 1 callersClassGRPOScriptArguments
Script arguments for the GRPO training script. Args: reward_funcs (`list[str]`): List of reward functions. Possible valu
open-r1/src/open_r1/configs.py:209
↓ 1 callersClassHuggingfaceEngine
LLaMA-Factory/src/llamafactory/chat/hf_engine.py:44
↓ 1 callersClassKTODataCollatorWithPadding
r"""Data collator for KTO data.
LLaMA-Factory/src/llamafactory/data/collator.py:281
↓ 1 callersClassLLMName
Supported LLM names.
autogeo/config.py:15
↓ 1 callersClassLlama3ToolUtils
r"""Llama 3.x tool using template with `tools_in_user_message=False`. Reference: https://www.llama.com/docs/model-cards-and-prompt-formats/llama3
LLaMA-Factory/src/llamafactory/data/tool_utils.py:189
↓ 1 callersClassLogCallback
r"""A callback for logging training and evaluation status.
LLaMA-Factory/src/llamafactory/train/callbacks.py:173
↓ 1 callersClassMMLUConfig
LLaMA-Factory/evaluation/mmlu/mmlu.py:103
↓ 1 callersClassManager
r"""A class to manage all the gradio components in Web UI.
LLaMA-Factory/src/llamafactory/webui/manager.py:23
↓ 1 callersClassMistralToolUtils
r"""Mistral v0.3 tool using template.
LLaMA-Factory/src/llamafactory/data/tool_utils.py:227
↓ 1 callersClassModelCard
LLaMA-Factory/src/llamafactory/api/protocol.py:39
↓ 1 callersClassModelList
LLaMA-Factory/src/llamafactory/api/protocol.py:46
↓ 1 callersClassMorphCloudExecutionClient
open-r1/src/open_r1/utils/competitive_programming/morph_client.py:30
↓ 1 callersClassMorphProvider
Provider that executes code using MorphCloud's Sandbox API.
open-r1/src/open_r1/utils/code_providers.py:169
↓ 1 callersClassPairwiseDataCollatorWithPadding
r"""Data collator for pairwise data.
LLaMA-Factory/scripts/stat_utils/cal_ppl.py:32
↓ 1 callersClassPairwiseTrainer
r"""Inherits Trainer to compute pairwise loss.
LLaMA-Factory/src/llamafactory/train/rm/trainer.py:43
↓ 1 callersClassPissaConvertCallback
r"""A callback for converting the PiSSA adapter to a normal one.
LLaMA-Factory/src/llamafactory/train/callbacks.py:131
↓ 1 callersClassPistonClient
A client that will automatically load balance across multiple Piston (https://github.com/engineer-man/piston) workers. This assumes piston is
open-r1/src/open_r1/utils/competitive_programming/piston_client.py:36
↓ 1 callersClassQwenToolUtils
r"""Qwen 2.5 tool using template.
LLaMA-Factory/src/llamafactory/data/tool_utils.py:261
↓ 1 callersClassReporterCallback
r"""A callback for reporting training status to external logger.
LLaMA-Factory/src/llamafactory/train/callbacks.py:342
↓ 1 callersClassRunner
r"""A class to manage the running status of the trainers.
LLaMA-Factory/src/llamafactory/webui/runner.py:55
↓ 1 callersClassSFTConfig
args for callbacks, benchmarks etc
open-r1/src/open_r1/configs.py:170
↓ 1 callersClassSFTDataCollatorWith4DAttentionMask
r"""Data collator for 4d attention mask.
LLaMA-Factory/src/llamafactory/data/collator.py:235
↓ 1 callersClassSGLangEngine
Inference engine for SGLang models. This class wraps the SGLang engine to provide a consistent interface for text generation that matches LLa
LLaMA-Factory/src/llamafactory/chat/sglang_engine.py:46
↓ 1 callersClassScoreEvaluationResponse
LLaMA-Factory/src/llamafactory/api/protocol.py:153
↓ 1 callersClassSwanLabCallbackExtension
LLaMA-Factory/src/llamafactory/train/trainer_utils.py:670
↓ 1 callersClassVllmEngine
LLaMA-Factory/src/llamafactory/chat/vllm_engine.py:45
↓ 1 callersClassWebChatModel
LLaMA-Factory/src/llamafactory/webui/chatter.py:80
ClassAlpacaDatasetConverter
LLaMA-Factory/src/llamafactory/data/converter.py:85
ClassApolloArguments
r"""Arguments pertaining to the APOLLO algorithm.
LLaMA-Factory/src/llamafactory/hparams/finetuning_args.py:256
ClassAttentionFunction
LLaMA-Factory/src/llamafactory/extras/constants.py:99
ClassBAdamArgument
r"""Arguments pertaining to the BAdam optimizer.
LLaMA-Factory/src/llamafactory/hparams/finetuning_args.py:307
ClassBaseEngine
r"""Base class for inference engine of chat models. Must implements async methods: chat(), stream_chat() and get_scores().
LLaMA-Factory/src/llamafactory/chat/base_engine.py:39
ClassBaseModelArguments
r"""Arguments pertaining to the model.
LLaMA-Factory/src/llamafactory/hparams/model_args.py:30
ClassBasePlugin
LLaMA-Factory/src/llamafactory/data/mm_plugin.py:397
ClassBatchRequest
BatchRequest is a data model representing a batch processing request. Attributes: scripts (list[str]): A list of script names or pat
open-r1/scripts/e2b_router.py:32
ClassBatchRequest
BatchRequest is a data model representing a batch processing request. Attributes: scripts (list[str]): A list of script names or pat
open-r1/scripts/morph_router.py:28
ClassBelleMultiturn
LLaMA-Factory/data/belle_multiturn/belle_multiturn.py:40
ClassCMMLU
LLaMA-Factory/evaluation/cmmlu/cmmlu.py:118
ClassCeval
LLaMA-Factory/evaluation/ceval/ceval.py:103
ClassChatCompletionRequest
LLaMA-Factory/src/llamafactory/api/protocol.py:98
ClassChatMessage
LLaMA-Factory/src/llamafactory/api/protocol.py:86
ClassCitationSupport
autogeo/evaluation/metrics/geu_score.py:174
ClassCitationSupportValues
autogeo/evaluation/metrics/geu_score.py:160
ClassClaimEntry
autogeo/evaluation/metrics/geu_score.py:178
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