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Functions3,355 in github.com/AFAC2024/AFAC2025

↓ 1 callersMethod__init__
(self, config: Qwen2Config, megatron_config: ModelParallelConfig)
方案分享/赛题三/双人成行/code/RL/verl/verl/models/qwen2/megatron/layers/parallel_decoder.py:37
↓ 1 callersMethod__init__
(self, input_size, num_heads, num_key_value_heads,
方案分享/赛题三/双人成行/code/RL/verl/verl/models/qwen2/megatron/layers/parallel_linear.py:23
↓ 1 callersMethod__init__
(self, config: LlamaConfig, megatron_config: ModelParallelConfig)
方案分享/赛题三/双人成行/code/RL/verl/verl/models/llama/megatron/layers/parallel_decoder.py:37
↓ 1 callersMethod__init__
(self, input_size, num_heads, num_key_value_heads,
方案分享/赛题三/双人成行/code/RL/verl/verl/models/llama/megatron/layers/parallel_linear.py:23
↓ 1 callersMethod__init__
(self, config: "LlavaConfig")
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/model/model_utils/visual.py:85
↓ 1 callersMethod__init__
(self, manager: "Manager", demo_mode: bool = False, lazy_init: bool = True)
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/webui/chatter.py:81
↓ 1 callersMethod__init__
r"""Init a runner.
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/webui/runner.py:57
↓ 1 callersMethod__post_init__
(self)
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/data/formatter.py:128
↓ 1 callersMethod_a_stock_special_analysis
A股特色分析
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/chip_analysis.py:632
↓ 1 callersMethod_analyze_chip_distribution
分析筹码分布
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/chip_analysis.py:313
↓ 1 callersMethod_analyze_chip_migration
分析筹码迁移
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/chip_analysis.py:755
↓ 1 callersMethod_analyze_chip_stability
分析筹码稳定性
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/chip_analysis.py:771
↓ 1 callersMethod_analyze_concentration_trend
分析集中度变化趋势
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/chip_analysis.py:737
↓ 1 callersMethod_analyze_institutional_adjustment
分析机构调仓
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/chip_analysis.py:804
↓ 1 callersMethod_analyze_news_sentiment
分析新闻情绪
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/agent/sentiment.py:166
↓ 1 callersMethod_analyze_policy_impact
分析政策影响
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/chip_analysis.py:796
↓ 1 callersMethod_analyze_social_sentiment
分析社交媒体情绪
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/agent/sentiment.py:198
↓ 1 callersFunction_apply_llama_patch
()
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/model/model_utils/longlora.py:352
↓ 1 callersMethod_basic_chip_analysis
基础筹码分析
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/chip_analysis.py:361
↓ 1 callersMethod_bind_worker_method
Bind the worker method to the WorkerGroup
方案分享/赛题三/双人成行/code/RL/verl/verl/single_controller/base/worker_group.py:138
↓ 1 callersFunction_bind_workers_method_to_parent
Binds the methods of each worker to the WorkerDict. Note that we only bind public methods that are decorated by register
方案分享/赛题三/双人成行/code/RL/verl/verl/single_controller/ray/base.py:400
↓ 1 callersMethod_block_until_all_workers_alive
(self)
方案分享/赛题三/双人成行/code/RL/verl/verl/single_controller/base/worker_group.py:115
↓ 1 callersFunction_broadcast_tp_shard_tensor_gate_up
broadcast tensor in tp shards across mp_group
方案分享/赛题三/双人成行/code/RL/verl/verl/models/qwen2/megatron/checkpoint_utils/qwen2_loader.py:227
↓ 1 callersFunction_broadcast_tp_shard_tensor_gate_up
broadcast tensor in tp shards across mp_group
方案分享/赛题三/双人成行/code/RL/verl/verl/models/qwen2/megatron/checkpoint_utils/qwen2_saver.py:206
↓ 1 callersFunction_broadcast_tp_shard_tensor_gate_up
broadcast tensor in tp shards across mp_group
方案分享/赛题三/双人成行/code/RL/verl/verl/models/llama/megatron/checkpoint_utils/llama_saver.py:206
↓ 1 callersFunction_broadcast_tp_shard_tensor_gate_up
broadcast tensor in tp shards across mp_group
方案分享/赛题三/双人成行/code/RL/verl/verl/models/llama/megatron/checkpoint_utils/llama_loader.py:231
↓ 1 callersFunction_broadcast_tp_shard_tensor_qkv
broadcast tensor in tp shards across mp_group
方案分享/赛题三/双人成行/code/RL/verl/verl/models/llama/megatron/checkpoint_utils/llama_saver.py:259
↓ 1 callersFunction_broadcast_tp_shard_tensor_qkv
broadcast tensor in tp shards across mp_group
方案分享/赛题三/双人成行/code/RL/verl/verl/models/llama/megatron/checkpoint_utils/llama_loader.py:285
↓ 1 callersFunction_broadcast_tp_shard_tensor_vocab
broadcast tensor in tp shards across mp_group
方案分享/赛题三/双人成行/code/RL/verl/verl/models/qwen2/megatron/checkpoint_utils/qwen2_loader.py:134
↓ 1 callersFunction_broadcast_tp_shard_tensor_vocab
broadcast tensor in tp shards across mp_group
方案分享/赛题三/双人成行/code/RL/verl/verl/models/llama/megatron/checkpoint_utils/llama_loader.py:138
↓ 1 callersMethod_build_conversation_prompt
构建对话提示词
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/data_analysis/data_analysis_agent.py:318
↓ 1 callersMethod_build_critic_model_optimizer
(self, model_path, megatron_config
方案分享/赛题三/双人成行/code/RL/verl/verl/workers/megatron_workers.py:515
↓ 1 callersMethod_build_critic_model_optimizer
(self, config)
方案分享/赛题三/双人成行/code/RL/verl/verl/workers/fsdp_workers.py:660
↓ 1 callersMethod_build_dataloader
(self)
方案分享/赛题三/双人成行/code/RL/verl/verl/trainer/fsdp_sft_trainer.py:121
↓ 1 callersMethod_build_docstring
Build a formatted docstring from tool function metadata.
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/mcp/server.py:85
↓ 1 callersMethod_build_final_report_prompt
构建用于生成最终报告的提示词
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/data_analysis/data_analysis_agent.py:412
↓ 1 callersMethod_build_model
(self, config)
方案分享/赛题三/双人成行/code/RL/verl/verl/workers/fsdp_workers.py:934
↓ 1 callersMethod_build_model_optimizer
(self)
方案分享/赛题三/双人成行/code/RL/verl/verl/trainer/fsdp_sft_trainer.py:181
↓ 1 callersMethod_build_param_buffer
Build the parameter buffer in each pp rank
方案分享/赛题三/双人成行/code/RL/verl/verl/workers/sharding_manager/megatron_vllm.py:86
↓ 1 callersMethod_build_reward_ref_model_optimizer
(self, config)
方案分享/赛题三/双人成行/code/RL/verl/recipe/prime/prime_fsdp_workers.py:84
↓ 1 callersMethod_build_rm_model
(self, model_path, megatron_config: ModelParallelConfig, override_model_config)
方案分享/赛题三/双人成行/code/RL/verl/verl/workers/megatron_workers.py:710
↓ 1 callersMethod_build_rollout
(self)
方案分享/赛题三/双人成行/code/RL/verl/verl/workers/megatron_workers.py:242
↓ 1 callersMethod_build_rollout
(self)
方案分享/赛题三/双人成行/code/RL/verl/verl/workers/fsdp_workers.py:295
↓ 1 callersMethod_build_signature
Build a function signature from tool function metadata.
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/mcp/server.py:107
↓ 1 callersFunction_check_and_sort_partitions
(partitions)
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/seqlen_balancing.py:170
↓ 1 callersMethod_check_code_safety
检查代码安全性,限制导入的库 Returns: (is_safe, error_message)
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/data_analysis/utils/code_executor.py:95
↓ 1 callersFunction_check_dispatch_mode
(dispatch_mode)
方案分享/赛题三/双人成行/code/RL/verl/verl/single_controller/base/decorator.py:366
↓ 1 callersFunction_check_execute_mode
(execute_mode)
方案分享/赛题三/双人成行/code/RL/verl/verl/single_controller/base/decorator.py:375
↓ 1 callersMethod_check_resource_available
Check if the resource pool can be satisfied in this ray cluster.
方案分享/赛题三/双人成行/code/RL/verl/verl/trainer/ppo/ray_trainer.py:105
↓ 1 callersFunction_clean_numbers
Clean Numbers in the given string >>> _clean_numbers(None, "Hello 123") 'Hello 123' >>> _clean_numbers(None, "Hello 1234") 'Hell
方案分享/赛题三/双人成行/code/RL/code_eval/MBPP_Humaneval/eval/utils/util.py:69
↓ 1 callersFunction_compute_mlflow_params_from_objects
(params)
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/tracking.py:136
↓ 1 callersMethod_concentration_analysis
筹码集中度分析
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/chip_analysis.py:587
↓ 1 callersMethod_configure_before_init
(self, register_center_name: str, rank: int)
方案分享/赛题三/双人成行/code/RL/verl/verl/single_controller/base/worker.py:101
↓ 1 callersMethod_configure_with_meta
This function should only be called inside by WorkerGroup
方案分享/赛题三/双人成行/code/RL/verl/verl/single_controller/base/worker.py:178
↓ 1 callersMethod_construct_request_payload
构建API请求的负载数据 Args: question_text (str): 问题文本内容 Returns: Dict: 格式化的请求数据字典
方案分享/赛题三/丛雨酱/全部代码/generate_result.py:46
↓ 1 callersFunction_copy
(from_path: str, to_path: str, timeout: int = None)
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/hdfs_io.py:113
↓ 1 callersFunction_create_adam_mini_optimizer
( model: "PreTrainedModel", training_args: "TrainingArguments", )
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/train/trainer_utils.py:468
↓ 1 callersFunction_create_apollo_optimizer
( model: "PreTrainedModel", training_args: "TrainingArguments", finetuning_args: "FinetuningArgume
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/train/trainer_utils.py:283
↓ 1 callersFunction_create_badam_optimizer
( model: "PreTrainedModel", training_args: "TrainingArguments", finetuning_args: "FinetuningArgume
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/train/trainer_utils.py:407
↓ 1 callersMethod_create_dataloader
(self)
方案分享/赛题三/双人成行/code/RL/verl/verl/trainer/ppo/ray_trainer.py:405
↓ 1 callersFunction_create_galore_optimizer
( model: "PreTrainedModel", training_args: "TrainingArguments", finetuning_args: "FinetuningArgume
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/train/trainer_utils.py:195
↓ 1 callersFunction_create_loraplus_optimizer
( model: "PreTrainedModel", training_args: "TrainingArguments", finetuning_args: "FinetuningArgume
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/train/trainer_utils.py:367
↓ 1 callersFunction_create_muon_optimizer
( model: "PreTrainedModel", training_args: "TrainingArguments", )
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/train/trainer_utils.py:493
↓ 1 callersMethod_create_type_schema
Create a JSON schema for the given type.
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/create_chat_completion.py:58
↓ 1 callersMethod_create_union_schema
Create schema for Union types.
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/create_chat_completion.py:120
↓ 1 callersMethod_denormalize
(self, x)
方案分享/赛题一/allin/代码文件/Time_Series/codes/utils.py:122
↓ 1 callersMethod_denormalize
(self, x)
方案分享/赛题一/allin/代码文件/Time_Series/codes/SimpleTM/layers/StandardNorm.py:55
↓ 1 callersMethod_detect_conflict_between_documents
(self, pair: Tuple[Dict, Dict], rule_text: str, rule_definition: str, fewshot_example: str)
方案分享/赛题二/蛋木/code/conflict_detection_agent.py:100
↓ 1 callersMethod_determine_trend_direction
确定趋势方向
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/chip_analysis.py:787
↓ 1 callersMethod_download
(self)
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/dataset/rm_dataset.py:70
↓ 1 callersMethod_download
(self)
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/dataset/sft_dataset.py:69
↓ 1 callersMethod_encode_data_example
( self, prompt: list[dict[str, str]], response: list[dict[str, str]], system:
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/data/processor/pairwise.py:31
↓ 1 callersMethod_encode_data_example
( self, prompt: list[dict[str, str]], response: list[dict[str, str]], kl_respo
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/data/processor/feedback.py:31
↓ 1 callersMethod_encode_data_example
( self, prompt: list[dict[str, str]], response: list[dict[str, str]], system:
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/data/processor/unsupervised.py:31
↓ 1 callersMethod_evaluate_concentration_level
评估集中度水平
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/chip_analysis.py:726
↓ 1 callersFunction_exists
hdfs capable to check whether a file_path is exists
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/hdfs_io.py:43
↓ 1 callersFunction_expand_mask
Expands attention_mask from `[bsz, seq_len]` to `[bsz, 1, tgt_seq_len, src_seq_len]`.
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/torch_functional.py:502
↓ 1 callersFunction_expand_mask
Expands attention_mask from `[bsz, seq_len]` to `[bsz, 1, tgt_seq_len, src_seq_len]`.
方案分享/赛题三/双人成行/code/RL/verl/verl/models/qwen2/megatron/modeling_qwen2_megatron.py:59
↓ 1 callersFunction_expand_mask
Expands attention_mask from `[bsz, seq_len]` to `[bsz, 1, tgt_seq_len, src_seq_len]`.
方案分享/赛题三/双人成行/code/RL/verl/verl/models/llama/megatron/modeling_llama_megatron.py:60
↓ 1 callersMethod_expand_to_token_level
(self, data: DataProto, scores: torch.Tensor)
方案分享/赛题三/双人成行/code/RL/verl/verl/workers/fsdp_workers.py:1053
↓ 1 callersMethod_extract_html_code
Extract HTML code from LLM response
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/create_html.py:284
↓ 1 callersMethod_fetch_content_for_results
Fetch and add web content to search results.
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/tools/web_search.py:324
↓ 1 callersMethod_fetch_content_for_results
Fetch and add web content to search results.
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/web_search.py:330
↓ 1 callersMethod_fetch_single_result_content
Fetch content for a single search result.
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/tools/web_search.py:347
↓ 1 callersMethod_fetch_single_result_content
Fetch content for a single search result.
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/web_search.py:353
↓ 1 callersMethod_finalize
r"""Clean the cached memory and resets the runner.
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/webui/runner.py:116
↓ 1 callersMethod_find_rules_for_material
根据 material_id 从 .jsonl 文件中查找【所有】对应的规则。 现在返回一个包含所有匹配规则的列表,而不是单个字典。
方案分享/赛题二/蛋木/code/rule_extractor.py:68
↓ 1 callersFunction_fix_a_slash_b
(string)
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/reward_score/prime_math/math_normalize.py:89
↓ 1 callersFunction_fix_a_slash_b
(string)
方案分享/赛题三/双人成行/code/RL/deepscaler/rewards/math_utils/utils.py:60
↓ 1 callersFunction_fix_a_slash_b
(string)
方案分享/赛题三/ljq13317046284/代码/TokenSkip-main/TokenSkip-main/data_processing/answer_extraction.py:36
↓ 1 callersFunction_fix_fracs
(string)
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/reward_score/prime_math/math_normalize.py:57
↓ 1 callersFunction_fix_fracs
(string)
方案分享/赛题三/双人成行/code/RL/deepscaler/rewards/math_utils/utils.py:28
↓ 1 callersFunction_fix_fracs
(string)
方案分享/赛题三/ljq13317046284/代码/TokenSkip-main/TokenSkip-main/data_processing/answer_extraction.py:4
↓ 1 callersFunction_fix_sqrt
(string)
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/reward_score/prime_math/math_normalize.py:114
↓ 1 callersFunction_fix_sqrt
(string)
方案分享/赛题三/双人成行/code/RL/deepscaler/rewards/math_utils/utils.py:85
↓ 1 callersFunction_fix_sqrt
(string)
方案分享/赛题三/ljq13317046284/代码/TokenSkip-main/TokenSkip-main/data_processing/answer_extraction.py:53
↓ 1 callersFunction_fix_tan
(string)
方案分享/赛题三/ljq13317046284/代码/TokenSkip-main/TokenSkip-main/data_processing/answer_extraction.py:59
↓ 1 callersFunction_flatten_dict
(raw: Dict[str, Any], *, sep: str)
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/tracking.py:163
↓ 1 callersMethod_format_data
Format data to a JSON-serializable dictionary. Args: data: The data to format, typically from efinance Returns:
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/stock_info_request.py:79
↓ 1 callersFunction_format_response
r"""Post-process the response text. Based on: https://huggingface.co/spaces/Lyte/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF/blob/main/app.py
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/webui/chatter.py:46
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