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Functions465 in github.com/Cryolite/kanachan

⨍ Functions 465◇ Types & classes 126

( self, *, dimension: int, dim_feedforward: int, activation_function: str, dropout: float,

kanachan/training/cql/q_model.py:13

(self, encoder: Encoder, decoder: ThetaDecoder)

kanachan/training/cql/q_model.py:90

( self, *, position_encoder: str, dimension: int, num_heads: int, dim_feedforward: int,

kanachan/training/bert/encoder.py:14

( self, *, dimension: int, dim_feedforward: int, activation_function: str, dropout: float,

kanachan/training/bert/phase1/decoder.py:11

(self, path: Path)

kanachan/training/bert/phase1/iterator_adaptor.py:8

(self, encoder: Encoder, decoder: Decoder)

kanachan/training/bert/phase1/model.py:8

(self, path: Path)

kanachan/training/bert/phase3/iterator_adaptor.py:8

(self, path: Path)

kanachan/training/bert/phase2/iterator_adaptor.py:8

( self, num_dimensions: int, num_heads: int, num_layers: int, num_final_dimensions: in

kanachan/training/aiayn/decoder.py:9

(self, path: pathlib.Path, num_dimensions: int, dtype)

kanachan/training/aiayn/iterator_adaptor.py:17

( self, num_dimensions: int, num_heads: int, num_layers:int, dropout: float=0.1, spars

kanachan/training/aiayn/encoder.py:13

(self, encoder: Encoder, decoder: Decoder)

kanachan/training/aiayn/model.py:9

(self, qv1_model: QVModel, qv2_model: QVModel)

kanachan/training/ilql/q_model.py:10

( self, *, dimension: int, dim_final_feedforward: int, activation_function: str, dropo

kanachan/training/ilql/policy_model.py:12

( self, *, dimension: int, dim_feedforward: int, activation_function: str, dropout: float,

kanachan/training/ilql/qv_model.py:14

( self, *, dimension: int, dim_feedforward: int, activation_function: str, dropout: float,

kanachan/training/iql/q_model.py:13

( self, *, dimension: int, dim_feedforward: int, activation_function: str, dropout: float,

kanachan/training/iql/value_model.py:12

(self, path: Path, get_reward: RewardFunction)

kanachan/training/iql/iterator_adaptor.py:18

(self, q1_model: QModel, q2_model: QModel)

kanachan/training/iql/qq_model.py:8

( self, *, dimension: int, dim_feedforward: int, activation_function: str, dropout: float,

kanachan/nn/linear_decoder.py:10

(self, rounds: List[dict])

kanachan/simulation/test_model.py:13

kanachan/simulation/tool.py:13

kanachan/training/common.py:46

kanachan/training/iterator_adaptor_base.py:83

kanachan/training/bert/phase1/iterator_adaptor.py:11

kanachan/training/bert/phase3/iterator_adaptor.py:11

kanachan/training/bert/phase2/iterator_adaptor.py:11

kanachan/training/aiayn/iterator_adaptor.py:80

kanachan/training/iql/iterator_adaptor.py:175

src/simulation/angang.cpp:24

Methodappend_rong_candidate

( self, relseat: int, hand: List[int], melds: List[_Meld], zimo_tile: int, tool_config

kanachan/simulation/tool.py:166

Methodappend_zimohu_candidate

( self, hand: List[int], melds: List[_Meld], zimo_tile: int, tool_config: int, candida

kanachan/simulation/tool.py:122

Methodcalculate

src/simulation/xiangting_calculator.cpp:342

MethodcalculateHand_

src/simulation/round_state.cpp:695

Methodcalculate_hand

( self, hand: List[int], melds: List[_Meld], hupai: int, dora_indicators: List[int], t

kanachan/simulation/tool.py:208

Methodcalculate_xiangting

(self, hand: List[int])

kanachan/simulation/tool.py:80

FunctioncastRange

test/annotation_vs_simulation/generate.cpp:50

MethodcheckDaSanyuanPao_

src/simulation/round_state.cpp:519

MethodcheckDaSixiPao_

src/simulation/round_state.cpp:609

MethodcheckPlayerLiujuManguan

src/simulation/round_state.cpp:128

src/simulation/chi.cpp:23

MethodconstructDoraIndicators_

src/simulation/round_state.cpp:441

MethodconstructException

src/common/throw.hpp:53

MethodconstructException

src/common/throw.hpp:131

MethodconstructFeatures_

src/simulation/round_state.cpp:315

Functiondaminggang

src/simulation/daminggang.cpp:12

src/simulation/dapai.cpp:33

src/simulation/decision_maker.cpp:262

MethoddrawLingshangPai_

src/simulation/round_state.cpp:291

FunctionencodeCategory

src/annotation/utility.hpp:369

MethodencodeToolConfig_

src/simulation/round_state.cpp:395

(self, x: torch.Tensor)

kanachan/training/positional_encoding.py:24

(self, x: torch.Tensor)

kanachan/training/position_embedding.py:14

(self, candidates: torch.Tensor, encode: torch.Tensor)

kanachan/training/cql/q_model.py:56

( self, sparse: torch.Tensor, numeric: torch.Tensor, progression: torch.Tensor, candid

kanachan/training/cql/q_model.py:95

( self, sparse: torch.Tensor, numeric: torch.Tensor, progression: torch.Tensor, candid

kanachan/training/cql/q_model.py:107

( self, sparse: torch.Tensor, numeric: torch.Tensor, progression: torch.Tensor, candid

kanachan/training/bert/encoder.py:67

(self, candidates: torch.Tensor, encode: torch.Tensor)

kanachan/training/bert/phase1/decoder.py:44

( self, sparse: torch.Tensor, numeric: torch.Tensor, progression: torch.Tensor, candid

kanachan/training/bert/phase1/model.py:13

(self, encode, candidates)

kanachan/training/aiayn/decoder.py:30

kanachan/training/aiayn/encoder.py:31

kanachan/training/aiayn/model.py:14

( self, sparse: torch.Tensor, numeric: torch.Tensor, progression: torch.Tensor, candid

kanachan/training/ilql/q_model.py:22

kanachan/training/ilql/policy_model.py:29

kanachan/training/ilql/policy_model.py:56

( self, candidates: torch.Tensor, encode: torch.Tensor)

kanachan/training/ilql/qv_model.py:52

( self, sparse: torch.Tensor, numeric: torch.Tensor, progression: torch.Tensor, candid

kanachan/training/ilql/qv_model.py:85

( self, candidates: torch.Tensor, encode: torch.Tensor)

kanachan/training/iql/q_model.py:51

( self, sparse: torch.Tensor, numeric: torch.Tensor, progression: torch.Tensor, candid

kanachan/training/iql/q_model.py:83

(self, candidates: torch.Tensor, encode: torch.Tensor)

kanachan/training/iql/value_model.py:36

( self, sparse: torch.Tensor, numeric: torch.Tensor, progression: torch.Tensor, candid

kanachan/training/iql/value_model.py:62

( self, sparse: torch.Tensor, numeric: torch.Tensor, progression: torch.Tensor, candid

kanachan/training/iql/qq_model.py:20

(self, candidates: torch.Tensor, encode: torch.Tensor)

kanachan/nn/linear_decoder.py:43

MethodgetBenChang

src/simulation/round_state.cpp:67

MethodgetBenChang

src/simulation/game_state.cpp:63

src/simulation/game_state.cpp:51

MethodgetDoraIndicator

src/simulation/round_state.cpp:89

MethodgetEpisode

src/simulation/game_log.cpp:145

MethodgetFuluList_

src/simulation/shoupai.cpp:497

src/simulation/game_state.cpp:57

MethodgetLastDapai_

src/simulation/round_state.cpp:248

MethodgetNumFulu_

src/simulation/shoupai.cpp:355

MethodgetNumLeftTiles

test/annotation_vs_simulation/generate.cpp:472

MethodgetNumLizhiDeposits

src/simulation/round_state.cpp:72

MethodgetNumLizhiDeposits

src/simulation/game_state.cpp:68

MethodgetPlayerDeltaScore

src/simulation/round_state.cpp:107

MethodgetPlayerGrade

src/simulation/round_state.cpp:51

MethodgetPlayerGrade

src/simulation/game_state.cpp:45

MethodgetPlayerRanking

src/simulation/round_state.cpp:83

MethodgetPlayerRanking

src/simulation/game_state.cpp:79

FunctiongetRank_

src/annotation/player_state.cpp:24

MethodgetResult

src/simulation/game_log.cpp:107

MethodgetShoupai136_

src/simulation/shoupai.cpp:368

MethodgetShoupai34_

src/simulation/shoupai.cpp:335

FunctiongetTypeName

src/common/type_name.hpp:13

Functionget_grading_point

(ranking: int, score: int)

kanachan/simulation/run.py:162

Methodget_my_fulu_list

mjai.app/_kanachan.py:833

Functionget_soul_point

(ranking: int, _: int)

kanachan/simulation/run.py:165

自摸牌を手牌に組み込む．

src/annotation/player_state.cpp:495

FunctionhuangpaiPingju

src/simulation/huangpai_pingju.cpp:12

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